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<title>데이터프레스</title>
<link>https://datapress.kr</link>
<description>데이터프레스 – 데이터와 통계로 사회, 산업, 경제의 변화를 읽는 뉴스 플랫폼, 데이터프레스입니다.</description>
<atom:updated>2026-10-01T09:11:40+09:00</atom:updated>
<atom:published>2026-10-01T09:11:40+09:00</atom:published>
<item>
<guid>2619</guid>
<title><![CDATA[차 떨어지고 공장 멈췄다… 8월 산업생산 -1.3% 급락, 경기 ‘경고등’]]></title>
<link>https://datapress.kr/news/view.php?no=2619</link>
<mobile>https://datapress.kr/m/view.php?no=2619</mobile>
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<description><![CDATA[
- 자동차 생산 -24.8% 충격… 제조업 평균가동률 70.8%로 폭락
- 서비스업·건설업 반등에도 광공업·소비·투자 삼중 악재에 발목
- 동행지수 상승 vs 선행지수 하락… 한국 경제 cross-road 선 정국

대한민국 경제의 동력에 급제동이 걸렸다. 서비스업과 건설업의 미약한 반등에도 불구하고, 한국 산업의 중추인 자동차와 제조업이 직격탄을 맞으면서 8월 전산업 생산이 전월 대비 1.3% 급감했다. 생산뿐만 아니라 소비(-1.8%)와 설비투자(-9.5%)까지 일제히 감소세로 돌아서며 &amp;#039;트리플 약세&amp;#039; 국면을 나타냈다.

■ 자동차 -24.8% &amp;#039;쇼크&amp;#039;… 제조업 가동률 70%선 턱걸이
30일 국가데이터처가 발표한 &amp;#039;2026년 8월 산업활동동향&amp;#039;에 따르면, 8월 전산업생산지수(계절조정)는 118.7로 전월 대비 1.3% 감소했다. 지난 6월 반짝 반등(2.6%) 이후 7월(-0.1%)에 이어 2개월 연속 내림세다.

이번 생산 감소의 결정적 원인은 광공업(-4.8%)의 부진이다. 특히 제조업 생산이 전월 대비 5.1% 급감했는데, 한국 수출과 생산의 핵심 축인 자동차 생산이 전월 대비 무려 24.8% 폭락한 영향이 컸다. 자동차 신생부품 및 RV 승용차 생산 감소와 함께 운송장비용 플라스틱, 타이어 등 연관 산업(고무·플라스틱 -11.0%)까지 도미노 타격을 입었다.

제조업 생산이 크게 줄면서 공장 가동 상태를 나타내는 제조업 평균가동률은 70.8%로 전월 대비 4.0%p 폭락했다. 이는 제조업 공장 10곳 중 3곳 가까이가 가동을 멈췄음을 의미한다.

■ "돈 안 푼다" 내수 한파… 소비 -1.8%, 설비투자 -9.5% 싹쓸이 후퇴
내수 지표 역시 차갑게 식어붙었다. 소비 동향을 보여주는 소매판매액지수는 전월 대비 1.8% 감소했다. 승용차와 가전제품 등 내구재(-4.5%) 및 음식료품 등 비내구재(-1.6%) 판매가 줄줄이 후퇴했다. 고금리와 물가 부담 속에서 가계의 소비 심리가 완전히 위축되었음을 보여준다.

투자동향 역시 살얼음판이다. 설비투자는 전월 대비 9.5% 급감했다. 반도체 제조용 기계 등 기계류 투자는 1.6% 소폭 늘었으나, 선박 및 항공기 등 운송장비 투자가 -32.8% 폭락한 영향이다. 다행히 건설기성(건설업 실적)은 건축 공사의 선전으로 전월 대비 1.9% 증가하며 긴 불황 터널에서 겨우 숨통을 트였다.

■ AI·SW가 끌고 간 서비스업(+0.5%)… 경기방향 ‘혼돈’
유일하게 버팀목이 되어준 분야는 서비스업(0.5% 증가)이다. 도소매(-0.7%)와 숙박·음식점(-0.9%) 등 내수 체감 업종은 부진했으나, 소프트웨어 개발 및 정보서비스가 포함된 정보통신(4.7%)과 자연과학 연구개발 등이 포함된 전문·과학·기술(2.3%) 부문이 실적을 이끌었다.

현재 경기를 나타내는 동행종합지수 순환변동치는 전월 대비 0.5p 상승(101.7)했으나, 향후 경기 국면을 예측하는 선행종합지수 순환변동치는 0.1p 하락(104.2)했다. 코스피 지수 감소와 건설수주 감소 등이 향후 경기 불확실성을 높이고 있는 셈이다.

[데이터프레스의 눈]
8월 산업활동동향은 &amp;#039;제조업 체력 저하&amp;#039;와 &amp;#039;내수 냉각&amp;#039;이라는 이중고를 극명히 드러냈다. 정보통신·R&amp;#038;amp;D 등 신산업 서비스업의 성장세는 긍정적이나, 자동차·제조업 기반의 고용과 소비 선순환 구조가 붕괴될 경우 하반기 경기 회복 흐름 자체가 꺾일 수 있다는 지적이 나온다.
&amp;#038;nbsp;

   데이터프레스 공식블로그ㅡ&amp;#038;nbsp;https://blog.naver.com/datapress21/224427911271


]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2610/20261001091130_czufmabl.jpg" alt="8월산업활동동향.JPG" style="width: 875px; height: 493px;" /></p>
<p>- 자동차 생산 -24.8% 충격… 제조업 평균가동률 70.8%로 폭락</p>
<p>- 서비스업·건설업 반등에도 광공업·소비·투자 삼중 악재에 발목</p>
<p>- 동행지수 상승 vs 선행지수 하락… 한국 경제 cross-road 선 정국</p>
<p><br /></p>
<p>대한민국 경제의 동력에 급제동이 걸렸다. 서비스업과 건설업의 미약한 반등에도 불구하고, 한국 산업의 중추인 자동차와 제조업이 직격탄을 맞으면서 8월 전산업 생산이 전월 대비 1.3% 급감했다. 생산뿐만 아니라 소비(-1.8%)와 설비투자(-9.5%)까지 일제히 감소세로 돌아서며 '트리플 약세' 국면을 나타냈다.</p>
<p><br /></p>
<p><b>■ 자동차 -24.8% '쇼크'… 제조업 가동률 70%선 턱걸이</b></p>
<p>30일 국가데이터처가 발표한 '2026년 8월 산업활동동향'에 따르면, 8월 전산업생산지수(계절조정)는 118.7로 전월 대비 1.3% 감소했다. 지난 6월 반짝 반등(2.6%) 이후 7월(-0.1%)에 이어 2개월 연속 내림세다.</p>
<p><br /></p>
<p>이번 생산 감소의 결정적 원인은 광공업(-4.8%)의 부진이다. 특히 제조업 생산이 전월 대비 5.1% 급감했는데, 한국 수출과 생산의 핵심 축인 자동차 생산이 전월 대비 무려 24.8% 폭락한 영향이 컸다. 자동차 신생부품 및 RV 승용차 생산 감소와 함께 운송장비용 플라스틱, 타이어 등 연관 산업(고무·플라스틱 -11.0%)까지 도미노 타격을 입었다.</p>
<p><br /></p>
<p>제조업 생산이 크게 줄면서 공장 가동 상태를 나타내는 제조업 평균가동률은 70.8%로 전월 대비 4.0%p 폭락했다. 이는 제조업 공장 10곳 중 3곳 가까이가 가동을 멈췄음을 의미한다.</p>
<p><br /></p>
<p><b>■ "돈 안 푼다" 내수 한파… 소비 -1.8%, 설비투자 -9.5% 싹쓸이 후퇴</b></p>
<p>내수 지표 역시 차갑게 식어붙었다. 소비 동향을 보여주는 소매판매액지수는 전월 대비 1.8% 감소했다. 승용차와 가전제품 등 내구재(-4.5%) 및 음식료품 등 비내구재(-1.6%) 판매가 줄줄이 후퇴했다. 고금리와 물가 부담 속에서 가계의 소비 심리가 완전히 위축되었음을 보여준다.</p>
<p><br /></p>
<p>투자동향 역시 살얼음판이다. 설비투자는 전월 대비 9.5% 급감했다. 반도체 제조용 기계 등 기계류 투자는 1.6% 소폭 늘었으나, 선박 및 항공기 등 운송장비 투자가 -32.8% 폭락한 영향이다. 다행히 건설기성(건설업 실적)은 건축 공사의 선전으로 전월 대비 1.9% 증가하며 긴 불황 터널에서 겨우 숨통을 트였다.</p>
<p><br /></p>
<p><b>■ AI·SW가 끌고 간 서비스업(+0.5%)… 경기방향 ‘혼돈’</b></p>
<p>유일하게 버팀목이 되어준 분야는 서비스업(0.5% 증가)이다. 도소매(-0.7%)와 숙박·음식점(-0.9%) 등 내수 체감 업종은 부진했으나, 소프트웨어 개발 및 정보서비스가 포함된 정보통신(4.7%)과 자연과학 연구개발 등이 포함된 전문·과학·기술(2.3%) 부문이 실적을 이끌었다.</p>
<p><br /></p>
<p>현재 경기를 나타내는 동행종합지수 순환변동치는 전월 대비 0.5p 상승(101.7)했으나, 향후 경기 국면을 예측하는 선행종합지수 순환변동치는 0.1p 하락(104.2)했다. 코스피 지수 감소와 건설수주 감소 등이 향후 경기 불확실성을 높이고 있는 셈이다.</p>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>8월 산업활동동향은 '제조업 체력 저하'와 '내수 냉각'이라는 이중고를 극명히 드러냈다. 정보통신·R&amp;D 등 신산업 서비스업의 성장세는 긍정적이나, 자동차·제조업 기반의 고용과 소비 선순환 구조가 붕괴될 경우 하반기 경기 회복 흐름 자체가 꺾일 수 있다는 지적이 나온다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그ㅡ&nbsp;</span><a href="https://blog.naver.com/datapress21/224427911271" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224427911271</span></a>
</p>
<p><br /></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-10-01T09:16:23+09:00</atom:updated>
<atom:published>2026-10-01T09:11:40+09:00</atom:published>
</item>
<item>
<guid>2618</guid>
<title><![CDATA[반도체가 이끈 '허리'의 힘… 중소·중견기업 6개월 연속 수출 '쌍끌이 비상']]></title>
<link>https://datapress.kr/news/view.php?no=2618</link>
<mobile>https://datapress.kr/m/view.php?no=2618</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2618" rel="related"/>
<description><![CDATA[-관세청 8월 기업규모별 수출입 현황 분석… 전체 수출 983억 달러 (+68.7%)
-중소기업(101억 달러, +20.4%)·중견기업(109억 달러, +8.8%) 6개월 연속 동반 성장
-반도체·컴퓨터 주변기기 폭발적 증가… 미·중·아세안 등 주요 10대 시장 전방위 호조

한국 수출의 &amp;#039;허리&amp;#039; 역할을 담당하는 중소·중견기업이 6개월 연속 동반 수출 증가세를 이어가며 대한민국 수출 전반에 강력한 동력을 더하고 있다. 대기업의 대형 호조세 속에서 중소·중견기업 역시 기술 기반 품목과 글로벌 시장 다변화를 바탕으로 확실한 체질 개선을 입증했다.&amp;#038;nbsp; &amp;#038;nbsp;

관세청이 29일 발표한 ‘2026년 8월 기업규모별 수출입 현황’ 데이터 분석 결과, 8월 전체 수출액은 983억 달러로 전년 동월 대비 68.7% 급증했다. 이 가운데 중소기업 수출은 101억 달러(전년 대비 +20.4%), 중견기업은 109억 달러(+8.8%)를 기록했다. 두 기업군 모두 올해 3월 이후 6개월 연속 플러스 성장을 달성한 수치다.&amp;#038;nbsp;
&amp;#038;nbsp;
■ &amp;#039;반도체·IT&amp;#039; 호조가 견인… 중소기업 반도체 수출 87.1% &amp;#039;폭발&amp;#039;
이번 성장을 주도한 일등 공신은 단연 반도체와 IT 관련 장비·부품이다.&amp;#038;nbsp; &amp;#038;nbsp;

중소기업의 경우 반도체 수출이 전년 동월 대비 87.1% 폭증했으며, 컴퓨터 주변기기(51.9%), 정밀기기(40.0%), 가전제품(26.8%), 선박(20.3%), 철강제품(15.4%) 등 제조업 전반에서 골고루 성장세를 보였다.&amp;#038;nbsp; &amp;#038;nbsp;

중견기업 역시 반도체(18.4%), 석유제품(67.4%), 컴퓨터 주변기기(53.5%), 철강제품(17.6%) 등의 주력 품목이 견조한 실적을 이끌었다. 대기업은 반도체(+244.7%)와 컴퓨터 주변기기(+398.6%)의 폭발적 성장에 힘입어 771억 달러(+94.2%)의 수출 실적을 올렸다.&amp;#038;nbsp; &amp;#038;nbsp;

■&amp;#038;nbsp;미·중 양대 시장과 동남아 신흥국 전반 &amp;#039;청신호&amp;#039;
글로벌 시장별 흐름을 보면 중소기업의 10대 주요 수출국 전체에서 수출이 증가하는 진기록을 세웠다.&amp;#038;nbsp; &amp;#038;nbsp;

중소기업 수출은 미국(39.3%)과 중국(25.5%) 양대 시장뿐만 아니라 말레이시아(78.7%), 홍콩(75.3%), 대만(33.4%), 싱가포르(27.7%), 유럽연합(19.3%) 등에서 비약적인 성장을 거뒀다. 중견기업도 중국(12.6%), 미국(23.6%), 대만(24.1%), 말레이시아(47.7%) 등 핵심 공급망 거점에서 견조한 성장세를 나타냈다.&amp;#038;nbsp; &amp;#038;nbsp;
&amp;#038;nbsp;
지역 권역별로는 대경권(중소 +38.5%), 전북권(+25.1%), 충청권(+21.6%), 수도권(+18.7%), 동남권(+18.2%) 등 전국 주요 제조 거점 전반에서 수출 활력이 확산됐다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 원자재·장비 수입도 동반 증가… "생산 투자의 긍정적 신호"
한편 8월 수입액은 중소기업 135억 달러(+18.8%), 중견기업 120억 달러(+30.1%), 대기업 373억 달러(+21.8%)로 전 규모에서 증가세를 기록했다.&amp;#038;nbsp; &amp;#038;nbsp;

특히 반도체 제조용 장비(중소 +45.4%, 중견 +101.0%, 대기업 +98.2%)와 반도체 부품 수입이 크게 늘었는데, 이는 국내 설비 투자와 향후 수출 제조를 위한 전방 재고 확보가 활발히 진행 중임을 시사한다.&amp;#038;nbsp; &amp;#038;nbsp;

관세청 관계자는 "중소·중견기업의 수출 체질이 강화되며 한국 무역의 든든한 버팀목이 되고 있다"며 "맞춤형 무역통계 분석 제공을 통해 우리 기업들의 글로벌 시장 개척을 적극 지원하겠다"고 밝혔다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224427151267

]]></description>
<content:encoded><![CDATA[<p>-관세청 8월 기업규모별 수출입 현황 분석… 전체 수출 983억 달러 (+68.7%)</p>
<p>-중소기업(101억 달러, +20.4%)·중견기업(109억 달러, +8.8%) 6개월 연속 동반 성장</p>
<p>-반도체·컴퓨터 주변기기 폭발적 증가… 미·중·아세안 등 주요 10대 시장 전방위 호조</p>
<p><br /></p>
<p>한국 수출의 '허리' 역할을 담당하는 중소·중견기업이 6개월 연속 동반 수출 증가세를 이어가며 대한민국 수출 전반에 강력한 동력을 더하고 있다. 대기업의 대형 호조세 속에서 중소·중견기업 역시 기술 기반 품목과 글로벌 시장 다변화를 바탕으로 확실한 체질 개선을 입증했다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>관세청이 29일 발표한 ‘2026년 8월 기업규모별 수출입 현황’ 데이터 분석 결과, 8월 전체 수출액은 983억 달러로 전년 동월 대비 68.7% 급증했다. 이 가운데 중소기업 수출은 101억 달러(전년 대비 +20.4%), 중견기업은 109억 달러(+8.8%)를 기록했다. 두 기업군 모두 올해 3월 이후 6개월 연속 플러스 성장을 달성한 수치다.&nbsp;</p>
<p>&nbsp;</p>
<p><b>■ '반도체·IT' 호조가 견인… 중소기업 반도체 수출 87.1% '폭발'</b></p>
<p>이번 성장을 주도한 일등 공신은 단연 반도체와 IT 관련 장비·부품이다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>중소기업의 경우 반도체 수출이 전년 동월 대비 87.1% 폭증했으며, 컴퓨터 주변기기(51.9%), 정밀기기(40.0%), 가전제품(26.8%), 선박(20.3%), 철강제품(15.4%) 등 제조업 전반에서 골고루 성장세를 보였다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>중견기업 역시 반도체(18.4%), 석유제품(67.4%), 컴퓨터 주변기기(53.5%), 철강제품(17.6%) 등의 주력 품목이 견조한 실적을 이끌었다. 대기업은 반도체(+244.7%)와 컴퓨터 주변기기(+398.6%)의 폭발적 성장에 힘입어 771억 달러(+94.2%)의 수출 실적을 올렸다.&nbsp; &nbsp;</p>
<p><b><br /></b></p>
<p><b>■&nbsp;미·중 양대 시장과 동남아 신흥국 전반 '청신호'</b></p>
<p>글로벌 시장별 흐름을 보면 중소기업의 10대 주요 수출국 전체에서 수출이 증가하는 진기록을 세웠다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>중소기업 수출은 미국(39.3%)과 중국(25.5%) 양대 시장뿐만 아니라 말레이시아(78.7%), 홍콩(75.3%), 대만(33.4%), 싱가포르(27.7%), 유럽연합(19.3%) 등에서 비약적인 성장을 거뒀다. 중견기업도 중국(12.6%), 미국(23.6%), 대만(24.1%), 말레이시아(47.7%) 등 핵심 공급망 거점에서 견조한 성장세를 나타냈다.&nbsp; &nbsp;</p>
<p>&nbsp;</p>
<p>지역 권역별로는 대경권(중소 +38.5%), 전북권(+25.1%), 충청권(+21.6%), 수도권(+18.7%), 동남권(+18.2%) 등 전국 주요 제조 거점 전반에서 수출 활력이 확산됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 원자재·장비 수입도 동반 증가… "생산 투자의 긍정적 신호"</b></p>
<p>한편 8월 수입액은 중소기업 135억 달러(+18.8%), 중견기업 120억 달러(+30.1%), 대기업 373억 달러(+21.8%)로 전 규모에서 증가세를 기록했다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>특히 반도체 제조용 장비(중소 +45.4%, 중견 +101.0%, 대기업 +98.2%)와 반도체 부품 수입이 크게 늘었는데, 이는 국내 설비 투자와 향후 수출 제조를 위한 전방 재고 확보가 활발히 진행 중임을 시사한다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>관세청 관계자는 "중소·중견기업의 수출 체질이 강화되며 한국 무역의 든든한 버팀목이 되고 있다"며 "맞춤형 무역통계 분석 제공을 통해 우리 기업들의 글로벌 시장 개척을 적극 지원하겠다"고 밝혔다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224427151267" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224427151267</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-30T15:32:01+09:00</atom:updated>
<atom:published>2026-09-30T15:26:59+09:00</atom:published>
</item>
<item>
<guid>2617</guid>
<title><![CDATA[9월 소비자심리지수 106.6으로 반등… 가계 수입·경기 기대감 회복이 견인]]></title>
<link>https://datapress.kr/news/view.php?no=2617</link>
<mobile>https://datapress.kr/m/view.php?no=2617</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2617" rel="related"/>
<description><![CDATA[
&amp;#038;nbsp;
&amp;#038;nbsp;지난달 주춤했던 소비자의 경제상황 심리가 한 달 만에 반등에 성공하며 기준선(100)을 훌륭히 웃돌았다. 가계 수입 증가 기대와 경기 판단 개선이 주요 원인으로 작용했다.
&amp;#038;nbsp;
23일 한국은행이 발표한 &amp;#039;2026년 9월 소비자동향조사 결과&amp;#039;에 따르면, 9월 중 소비자심리지수(CCSI)는 106.6으로 전월(104.5) 대비 2.1p 상승했다. CCSI는 100보다 크면 장기평균(2003~2025년)보다 낙관적임을 의미한다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;가계 재정상황 및 경제상황에 대한 인식이 전반적으로 개선됐다. 현재생활형편CSI는 92로 전월과 같았으나, 생활형편전망CSI(98)와 가계수입전망CSI(102)는 각각 전월 대비 1p, 2p 상승했다. 소비지출전망CSI 역시 110으로 1p 올랐다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;경제상황 지표 중에서는 현재경기판단CSI가 83으로 전월 대비 4p 급등했으며, 향후경기전망CSI(90)와 취업기회전망CSI(88)도 각각 1p, 2p씩 상승했다. 반면 금리수준전망CSI는 전월 대비 3p 상승한 128을 기록하며 향후 금리 상승을 예상하는 소비자 비중이 늘어난 것으로 나타났다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;물가 인식 부문에서는 향후 1년간의 기대인플레이션율이 2.7%로 전월과 동일한 수준을 유지했다. 다만, 소비자들이 물가 상승에 영향을 미칠 주요 품목으로 꼽은 항목 중 석유류 제품(52.7%)의 응답 비중이 전월 대비 2.5%p 늘어나 우려를 모았다. 이어 농축수산물(39.9%), 공공요금(29.8%) 순이었다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;전문가들은 "소비자 심리가 기준치를 웃도는 낙관적 흐름을 되찾았으나, 금리 부담과 유가 불안에 따른 물가 자극 가능성은 여전히 소비 여력을 제한할 수 있는 위험 요소"라고 평가했다.
&amp;#038;nbsp;
[데이터프레스의 눈]
9월 소비자심리지수(CCSI)가 106.6으로 전월 대비 2.1p 반등한 것은 가계 수입 기대와 경기 판단 개선이 맞물린 결과지만, 상승한 금리수준전망CSI(128)와 석유류 중심의 물가 우려는 실질 소비 확대를 제약하는 요인으로 작용하고 있습니다. 따라서 데이터프레스는 이번 지표를 &amp;#039;심리적 낙관론의 회복 속에서 고금리·유가 변동성이라는 불확실성을 과제로 안고 있는 시점&amp;#039;으로 진단합니다.
&amp;#038;nbsp;

   공식블로그 :&amp;#038;nbsp;&amp;#038;nbsp;"소비 심리 다시 켜졌다!" 9월 소비자.. : 네이버블로그

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260923180709_mruhfvno.jpg" alt="소비자심리지수.jpg" style="width: 875px; height: 487px;" /></p>
<p>&nbsp;</p>
<p>&nbsp;지난달 주춤했던 소비자의 경제상황 심리가 한 달 만에 반등에 성공하며 기준선(100)을 훌륭히 웃돌았다. 가계 수입 증가 기대와 경기 판단 개선이 주요 원인으로 작용했다.</p>
<p>&nbsp;</p>
<p>23일 한국은행이 발표한 '2026년 9월 소비자동향조사 결과'에 따르면, 9월 중 소비자심리지수(CCSI)는 106.6으로 전월(104.5) 대비 2.1p 상승했다. CCSI는 100보다 크면 장기평균(2003~2025년)보다 낙관적임을 의미한다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;가계 재정상황 및 경제상황에 대한 인식이 전반적으로 개선됐다. 현재생활형편CSI는 92로 전월과 같았으나, 생활형편전망CSI(98)와 가계수입전망CSI(102)는 각각 전월 대비 1p, 2p 상승했다. 소비지출전망CSI 역시 110으로 1p 올랐다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;경제상황 지표 중에서는 현재경기판단CSI가 83으로 전월 대비 4p 급등했으며, 향후경기전망CSI(90)와 취업기회전망CSI(88)도 각각 1p, 2p씩 상승했다. 반면 금리수준전망CSI는 전월 대비 3p 상승한 128을 기록하며 향후 금리 상승을 예상하는 소비자 비중이 늘어난 것으로 나타났다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;물가 인식 부문에서는 향후 1년간의 기대인플레이션율이 2.7%로 전월과 동일한 수준을 유지했다. 다만, 소비자들이 물가 상승에 영향을 미칠 주요 품목으로 꼽은 항목 중 석유류 제품(52.7%)의 응답 비중이 전월 대비 2.5%p 늘어나 우려를 모았다. 이어 농축수산물(39.9%), 공공요금(29.8%) 순이었다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;전문가들은 "소비자 심리가 기준치를 웃도는 낙관적 흐름을 되찾았으나, 금리 부담과 유가 불안에 따른 물가 자극 가능성은 여전히 소비 여력을 제한할 수 있는 위험 요소"라고 평가했다.</p>
<p>&nbsp;</p>
<p>[데이터프레스의 눈]</p>
<p>9월 소비자심리지수(CCSI)가 106.6으로 전월 대비 2.1p 반등한 것은 가계 수입 기대와 경기 판단 개선이 맞물린 결과지만, 상승한 금리수준전망CSI(128)와 석유류 중심의 물가 우려는 실질 소비 확대를 제약하는 요인으로 작용하고 있습니다. 따라서 데이터프레스는 이번 지표를 '심리적 낙관론의 회복 속에서 고금리·유가 변동성이라는 불확실성을 과제로 안고 있는 시점'으로 진단합니다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #0000ff;">공식블로그 :&nbsp;</span><a href="https://blog.naver.com/datapress21/224421143017" target="_blank"><span style="color: #0000ff;">&nbsp;"소비 심리 다시 켜졌다!" 9월 소비자.. : 네이버블로그</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>datapress21@gmail.com 김선희</author>
<atom:updated>2026-09-23T18:10:47+09:00</atom:updated>
<atom:published>2026-09-23T18:07:19+09:00</atom:published>
</item>
<item>
<guid>2616</guid>
<title><![CDATA[7월 출생아 11.1% 껑충, 합계출산율 0.89명 찍었다… 30대 출산·혼인 열풍이 바꾼 대한민국 인구 지형]]></title>
<link>https://datapress.kr/news/view.php?no=2616</link>
<mobile>https://datapress.kr/m/view.php?no=2616</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2616" rel="related"/>
<description><![CDATA[
&amp;#038;nbsp;
&amp;#038;nbsp;대한민국 인구 통계에 훈풍이 불고 있다. 7월 출생아 수가 전년 동월 대비 11% 이상 크게 늘어나며 합계출산율 0.9명선 회복을 눈앞에 뒀다. 누적된 혼인 건수 증가가 본격적인 출생아 수 증가로 이어지는 모양새다.
&amp;#038;nbsp;
&amp;#038;nbsp;23일 국가데이터처가 발표한 &amp;#039;2026년 7월 인구동향&amp;#039;에 따르면, 올해 7월 출생아 수는 2만 4,275명으로 전년 동월 대비 2,421명(11.1%) 증가했다. 올해 1월부터 7월까지의 누적 출생아 수 또한 17만 79명으로, 지난해 같은 기간(14만 8,228명)보다 14.7%나 급증했다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;여성 1명이 평생 낳을 것으로 예상되는 평균 출생아 수인 ‘합계출산율’은 7월 기준 0.89명을 기록, 전년 동월(0.81명) 대비 0.08명 올랐다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;이 같은 인구 반등의 핵심 원동력으로는 30대 여성의 출산율 증가와 지속적인 혼인 건수 상승이 꼽힌다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;연령별 출산율(여자인구 1천 명당 명)을 살펴보면, 35~39세 모(母)의 출산율이 전년 동월 대비 8.6명 늘어난 61.1명을 기록하며 가장 큰 폭의 증가세를 보였다. 30~34세 출산율 역시 82.1명으로 전년 대비 7.9명 증가했다. 반면 24세 이하 출산율은 2.1명으로 소폭 감소(-0.2명)했다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;출산 순위별로는 첫째아 구성비가 63.4%로 전년 동월 대비 1.7%p 상승했으나, 둘째아(30.7%)와 셋째아 이상(6.0%) 비중은 각각 0.9%p, 0.8%p 감소해 신규 가구 형성은 늘어난 반면 다자녀 가구로의 이행은 여전히 과제로 남았다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;바탕이 되는 결혼 시장도 활기를 띠고 있다. 7월 혼인 건수는 2만 2,282건으로 전년 동월 대비 1,890건(9.3%) 증가했다. 올해 1~7월 누계 혼인 건수 역시 14만 6,656건으로 전년 동기 대비 6.1% 늘어나 향후 출생아 수의 추가 상승 기대를 높이고 있다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;지역별로는 서울(+17.9%), 경기(+15.6%), 부산(+15.2%), 전남(+15.8%) 등 전국 모든 시도에서 출생아 수가 전년 동월 대비 일제히 증가했다. 한편, 올해 7월 1일 자로 새롭게 출범한 &amp;#039;전남광주통합특별시&amp;#039; 통계가 이번 발표부터 처음 공식 포함됐다. 전남광주통합특별시의 7월 출생아 수는 1,320명, 사망자 수는 2,264명으로 -945명의 자연감소를 기록했다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;출생아 수가 큰 폭으로 올랐음에도 고령화에 따른 사망자 수 증가를 넘어서지는 못했다. 7월 사망자 수는 2만 8,921명으로 전년 동월 대비 839명(3.0%) 증가함에 따라, 출생아 수에서 사망자 수를 뺀 7월 인구 자연증가는 -4,647명으로 자연감소 기조를 이어갔다. 다만, 전년 동월(-6,228명)에 비해서는 감축 폭이 크게 줄어들었다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;인구학 전문가들은 "청년층의 혼인 지표 개선과 30대 가구의 출산 전환이 실질적인 통계 수치로 입증되고 있다"며 "첫째아 출산에 집중된 현 현상을 둘째아 이상 다자녀 출산으로 이어지게 만들 주거·양육 보완책이 시급하다"고 제언했다.
&amp;#038;nbsp;
[데이터프레스의 눈]
7월 출생아 수가 11.1% 급증하고 합계출산율이 0.89명까지 반등한 것은 혼인 건수 증가와 30대 가구의 실질적 출산 이행이 맞물린 긍정적 전환점이지만, 첫째아 중심의 출산 성향과 고령화에 따른 지속적인 인구 자연감소(-4,647명)는 단기적 반등만으로 구조적 인구위기를 극복하기 어렵다는 점을 시사합니다. 따라서 데이터프레스는 이번 지표를 단순한 수치 회복을 넘어, 늘어난 첫째아 출산 가구가 둘째아 이상 다자녀 가구로 이어질 수 있도록 주거·양육 환경 등 실질적 체감 정책을 강화해야 하는 &amp;#039;골든타임의 시작&amp;#039;으로 진단합니다.


   공식블로그 :&amp;#038;nbsp;???? "드디어 반등했다!" 7월 출생아 11%.. : 네이버블로그

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260923173725_xdibsrkh.jpg" alt="인구동향.jpg" style="width: 875px; height: 488px;" /></p>
<p style="text-align: center;">&nbsp;</p>
<p>&nbsp;대한민국 인구 통계에 훈풍이 불고 있다. 7월 출생아 수가 전년 동월 대비 11% 이상 크게 늘어나며 합계출산율 0.9명선 회복을 눈앞에 뒀다. 누적된 혼인 건수 증가가 본격적인 출생아 수 증가로 이어지는 모양새다.</p>
<p>&nbsp;</p>
<p>&nbsp;23일 국가데이터처가 발표한 '2026년 7월 인구동향'에 따르면, 올해 7월 출생아 수는 2만 4,275명으로 전년 동월 대비 2,421명(11.1%) 증가했다. 올해 1월부터 7월까지의 누적 출생아 수 또한 17만 79명으로, 지난해 같은 기간(14만 8,228명)보다 14.7%나 급증했다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;여성 1명이 평생 낳을 것으로 예상되는 평균 출생아 수인 ‘합계출산율’은 7월 기준 0.89명을 기록, 전년 동월(0.81명) 대비 0.08명 올랐다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;이 같은 인구 반등의 핵심 원동력으로는 30대 여성의 출산율 증가와 지속적인 혼인 건수 상승이 꼽힌다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;연령별 출산율(여자인구 1천 명당 명)을 살펴보면, 35~39세 모(母)의 출산율이 전년 동월 대비 8.6명 늘어난 61.1명을 기록하며 가장 큰 폭의 증가세를 보였다. 30~34세 출산율 역시 82.1명으로 전년 대비 7.9명 증가했다. 반면 24세 이하 출산율은 2.1명으로 소폭 감소(-0.2명)했다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;출산 순위별로는 첫째아 구성비가 63.4%로 전년 동월 대비 1.7%p 상승했으나, 둘째아(30.7%)와 셋째아 이상(6.0%) 비중은 각각 0.9%p, 0.8%p 감소해 신규 가구 형성은 늘어난 반면 다자녀 가구로의 이행은 여전히 과제로 남았다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;바탕이 되는 결혼 시장도 활기를 띠고 있다. 7월 혼인 건수는 2만 2,282건으로 전년 동월 대비 1,890건(9.3%) 증가했다. 올해 1~7월 누계 혼인 건수 역시 14만 6,656건으로 전년 동기 대비 6.1% 늘어나 향후 출생아 수의 추가 상승 기대를 높이고 있다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;지역별로는 서울(+17.9%), 경기(+15.6%), 부산(+15.2%), 전남(+15.8%) 등 전국 모든 시도에서 출생아 수가 전년 동월 대비 일제히 증가했다. 한편, 올해 7월 1일 자로 새롭게 출범한 '전남광주통합특별시' 통계가 이번 발표부터 처음 공식 포함됐다. 전남광주통합특별시의 7월 출생아 수는 1,320명, 사망자 수는 2,264명으로 -945명의 자연감소를 기록했다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;출생아 수가 큰 폭으로 올랐음에도 고령화에 따른 사망자 수 증가를 넘어서지는 못했다. 7월 사망자 수는 2만 8,921명으로 전년 동월 대비 839명(3.0%) 증가함에 따라, 출생아 수에서 사망자 수를 뺀 7월 인구 자연증가는 -4,647명으로 자연감소 기조를 이어갔다. 다만, 전년 동월(-6,228명)에 비해서는 감축 폭이 크게 줄어들었다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;인구학 전문가들은 "청년층의 혼인 지표 개선과 30대 가구의 출산 전환이 실질적인 통계 수치로 입증되고 있다"며 "첫째아 출산에 집중된 현 현상을 둘째아 이상 다자녀 출산으로 이어지게 만들 주거·양육 보완책이 시급하다"고 제언했다.</p>
<p>&nbsp;</p>
<p>[데이터프레스의 눈]</p>
<p>7월 출생아 수가 11.1% 급증하고 합계출산율이 0.89명까지 반등한 것은 혼인 건수 증가와 30대 가구의 실질적 출산 이행이 맞물린 긍정적 전환점이지만, 첫째아 중심의 출산 성향과 고령화에 따른 지속적인 인구 자연감소(-4,647명)는 단기적 반등만으로 구조적 인구위기를 극복하기 어렵다는 점을 시사합니다. 따라서 데이터프레스는 이번 지표를 단순한 수치 회복을 넘어, 늘어난 첫째아 출산 가구가 둘째아 이상 다자녀 가구로 이어질 수 있도록 주거·양육 환경 등 실질적 체감 정책을 강화해야 하는 '골든타임의 시작'으로 진단합니다.</p>
<p><br /></p>
<p>
   <span style="color: #0000ff;">공식블로그 :&nbsp;</span><a href="https://blog.naver.com/datapress21/224421129172" target="_blank"><span style="color: #0000ff;">???? "드디어 반등했다!" 7월 출생아 11%.. : 네이버블로그</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>datapress21@gmail.com 김선희</author>
<atom:updated>2026-09-23T17:54:36+09:00</atom:updated>
<atom:published>2026-09-23T17:39:38+09:00</atom:published>
</item>
<item>
<guid>2615</guid>
<title><![CDATA[‘아파트 하자 갈등’ IT로 푼다… (주)컴패스, 국내 최초 ‘통합 하자관리 솔루션’ 선보여]]></title>
<link>https://datapress.kr/news/view.php?no=2615</link>
<mobile>https://datapress.kr/m/view.php?no=2615</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2615" rel="related"/>
<description><![CDATA[
   

&amp;#038;nbsp;

   


   1998년 연출기획서 출발해 건설 전문 IT·안전관리 선도기업으로 도약
   건설 ERP·조합관리·전자투표 이어 B/S 골조부터 사전점검 대행까지 Full-Lineup 구축
   대형 건설사 출신 인재 영입 및 &amp;#039;컴패스인&amp;#039; 양성으로 차별화된 현장 관리 역량 확보
   
&amp;#038;nbsp;
최근 아파트 입주예정자 간 하자 분쟁과 건설 현장의 안전 관리가 사회적 화두로 떠오른 가운데, IT 기술을 활용해 아파트 하자 접수부터 처리까지 한눈에 관리하는 혁신적인 솔루션이 등장해 업계의 주목을 받고 있다.

   

건설·주택관리 IT 및 안전관리 전문기업 주식회사 컴패스(COMPASS, 대표 김희승)는 국내 최초로 ‘아파트 하자접수·처리관리 통합 솔루션’을 개발하고 본격적인 공급에 나섰다고 밝혔다. 이번 솔루션은 입주예정자 사전점검 단계부터 하자 접수, 입주 후 처리 경과 추적까지 전 과정을 디지털화하여 시공사와 입주민 간의 신뢰를 높이고 분쟁 요소를 대폭 줄인 것이 특징이다.

   


   ■ 20여 년간 쌓아온 현장 노하우, IT 솔루션으로 결실

컴패스의 이러한 성과는 1998년 창립 이래 축적해 온 독특한 이력과 현장 경험이 바탕이 됐다. 초기 연출기획 사업으로 시작한 컴패스는 2002년 대형 개막식 행사 진행과 국내 5위권 연합종합렌탈회사 인수 등을 거치며 탄탄한 사업 기반을 다졌다.

   

이후 건설 전문 이벤트 및 주택관리(사전점검, 입주관리) 분야에서 쌓은 실무 노하우를 바탕으로 주택관리 업무의 IT화를 이끌어냈으며, 현재는 건설·주택 분야에 특화된 전문 IT 솔루션 기업으로 완전한 체질 개선에 성공했다.

   

현재 컴패스가 제공하는 주요 라인업은 ▲건설 전문 ERP ▲조합 관리 솔루션 ▲안전 및 분양관리 시스템 ▲전자투표 서비스 등 건설 프로세스 전반을 아우른다. 특히 이번에 구축한 ‘주택 하자처리통합시스템’은 B/S(Before Service) 골조 및 공종별 품질점검은 물론, 사전점검 대행과 현장 맞춤형 대책 교육까지 포함하는 토털 솔루션으로 평가받는다.

   


   ■ 중대재해처벌법 시대, 무재해·고품질 시공의 핵심 파트너

업계 전문가들은 강화된 중대재해처벌법과 품질 기준 상승에 따라 컴패스의 솔루션이 건설 현장의 필수재로 자리 잡을 것으로 전망한다. 현장의 위험 요소를 사전에 감지하고 하자 처리의 투명성을 확보함으로써 ‘무재해’와 ‘고품질 시공’이라는 두 마리 토끼를 동시에 잡을 수 있기 때문이다.

   

컴패스는 이러한 차별화된 경쟁력을 유지하기 위해 인재 투자에도 박차를 가하고 있다. 대형 건설사 출신의 베테랑 인재들을 대거 영입하여 투자 및 개발 사업으로 영역을 확장하는 한편, 기존 모니터 요원을 대체할 전문성과 역동성을 갖춘 젊은 인재군인 ‘컴패스인’을 적극적으로 육성·배치하고 있다.

   

또한 &amp;#039;단기 이익보다 미래를 위한 투자와 사회 환원&amp;#039;이라는 경영 철학 아래, 투명하고 공정한 업무 수행을 최우선으로 하는 윤리경영을 실천하며 외적 성장과 내실을 동시에 다지고 있다.

   

컴패스 김희승대표는 “각 사업 영역별 전문성을 극대화하는 클러스터 집중 전략과 우수한 인재 자산을 바탕으로 독보적인 시장 경쟁력을 확보하고 있다”며, “앞으로도 철저한 품질 관리 솔루션의 보급을 통해 입주민에게는 행복한 주거 문화를, 현장 작업자에게는 안전한 작업 환경을 제공하는 데 앞장설 것”이라고 포부를 밝혔다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224419925516

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260922154028_xywcqtgv.png" alt="컴패스1.png" style="width: 237px; height: 291px;" />
</p>
<p>&nbsp;</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260922154032_nvllllhy.png" alt="컴패스2.png" style="width: 271px; height: 264px;" />
</p>
<ul>
   <li>1998년 연출기획서 출발해 건설 전문 IT·안전관리 선도기업으로 도약</li>
   <li>건설 ERP·조합관리·전자투표 이어 B/S 골조부터 사전점검 대행까지 Full-Lineup 구축</li>
   <li>대형 건설사 출신 인재 영입 및 '컴패스인' 양성으로 차별화된 현장 관리 역량 확보</li>
   </ul>
<p>&nbsp;</p>
<p>최근 아파트 입주예정자 간 하자 분쟁과 건설 현장의 안전 관리가 사회적 화두로 떠오른 가운데, IT 기술을 활용해 아파트 하자 접수부터 처리까지 한눈에 관리하는 혁신적인 솔루션이 등장해 업계의 주목을 받고 있다.</p>
<p>
   <br />
</p>
<p>건설·주택관리 IT 및 안전관리 전문기업 주식회사 컴패스(COMPASS, 대표 김희승)는 국내 최초로 ‘아파트 하자접수·처리관리 통합 솔루션’을 개발하고 본격적인 공급에 나섰다고 밝혔다. 이번 솔루션은 입주예정자 사전점검 단계부터 하자 접수, 입주 후 처리 경과 추적까지 전 과정을 디지털화하여 시공사와 입주민 간의 신뢰를 높이고 분쟁 요소를 대폭 줄인 것이 특징이다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 20여 년간 쌓아온 현장 노하우, IT 솔루션으로 결실</b>
</p>
<p>컴패스의 이러한 성과는 1998년 창립 이래 축적해 온 독특한 이력과 현장 경험이 바탕이 됐다. 초기 연출기획 사업으로 시작한 컴패스는 2002년 대형 개막식 행사 진행과 국내 5위권 연합종합렌탈회사 인수 등을 거치며 탄탄한 사업 기반을 다졌다.</p>
<p>
   <br />
</p>
<p>이후 건설 전문 이벤트 및 주택관리(사전점검, 입주관리) 분야에서 쌓은 실무 노하우를 바탕으로 주택관리 업무의 IT화를 이끌어냈으며, 현재는 건설·주택 분야에 특화된 전문 IT 솔루션 기업으로 완전한 체질 개선에 성공했다.</p>
<p>
   <br />
</p>
<p>현재 컴패스가 제공하는 주요 라인업은 ▲건설 전문 ERP ▲조합 관리 솔루션 ▲안전 및 분양관리 시스템 ▲전자투표 서비스 등 건설 프로세스 전반을 아우른다. 특히 이번에 구축한 ‘주택 하자처리통합시스템’은 B/S(Before Service) 골조 및 공종별 품질점검은 물론, 사전점검 대행과 현장 맞춤형 대책 교육까지 포함하는 토털 솔루션으로 평가받는다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 중대재해처벌법 시대, 무재해·고품질 시공의 핵심 파트너</b>
</p>
<p>업계 전문가들은 강화된 중대재해처벌법과 품질 기준 상승에 따라 컴패스의 솔루션이 건설 현장의 필수재로 자리 잡을 것으로 전망한다. 현장의 위험 요소를 사전에 감지하고 하자 처리의 투명성을 확보함으로써 ‘무재해’와 ‘고품질 시공’이라는 두 마리 토끼를 동시에 잡을 수 있기 때문이다.</p>
<p>
   <br />
</p>
<p>컴패스는 이러한 차별화된 경쟁력을 유지하기 위해 인재 투자에도 박차를 가하고 있다. 대형 건설사 출신의 베테랑 인재들을 대거 영입하여 투자 및 개발 사업으로 영역을 확장하는 한편, 기존 모니터 요원을 대체할 전문성과 역동성을 갖춘 젊은 인재군인 ‘컴패스인’을 적극적으로 육성·배치하고 있다.</p>
<p>
   <br />
</p>
<p>또한 '단기 이익보다 미래를 위한 투자와 사회 환원'이라는 경영 철학 아래, 투명하고 공정한 업무 수행을 최우선으로 하는 윤리경영을 실천하며 외적 성장과 내실을 동시에 다지고 있다.</p>
<p>
   <br />
</p>
<p>컴패스 김희승대표는 “각 사업 영역별 전문성을 극대화하는 클러스터 집중 전략과 우수한 인재 자산을 바탕으로 독보적인 시장 경쟁력을 확보하고 있다”며, “앞으로도 철저한 품질 관리 솔루션의 보급을 통해 입주민에게는 행복한 주거 문화를, 현장 작업자에게는 안전한 작업 환경을 제공하는 데 앞장설 것”이라고 포부를 밝혔다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224419925516" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224419925516</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-22T15:49:04+09:00</atom:updated>
<atom:published>2026-09-22T15:42:21+09:00</atom:published>
</item>
<item>
<guid>2614</guid>
<title><![CDATA[일일이 누리집 안 찾아도 된다 국가 기록·역사 자료, 인공지능으로 한곳에서 검색]]></title>
<link>https://datapress.kr/news/view.php?no=2614</link>
<mobile>https://datapress.kr/m/view.php?no=2614</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2614" rel="related"/>
<description><![CDATA[
   
      
         
      
      
         - 국가기록원-국사편찬위원회, 기록정보‧역사 자료 연계‧공동 활용 업무협약 체결
      
      
         - 인공지능(AI) 에이전트 기반 ‘범국가 기록정보 통합활용체계’ 첫 시범 검증 착수
      
      
         - 실증 결과 바탕으로 다양한 공공·민간 기관으로 연계망 확대 예정
      
      
         
      
      
         &amp;#038;nbsp;
      
      
         행정안전부 국가기록원(원장 이용철)은 9월 18일(금) 국가기록원 성남분원에서 국사편찬위원회와 ‘기록정보와 역사 자료의 연계‧공동 활용을 위한 업무협약(MOU)’을 체결했다.
      
      &amp;#038;nbsp;
      
         양 기관은 과학기술정보통신부의 ‘부처 협업 기반 인공지능(AI) 확산’ 사업과 ‘공공 AX 프로젝트’를 통해 각각 인공지능(AI) 기록정보 검색‧요약‧추천 서비스와 근대 다문자 자료의 인식‧검색‧번역 서비스를 개발해 실증하고 있다.
      
      &amp;#038;nbsp;
      
         이번 협약은 양 기관이 축적한 인공지능 활용 경험과 성과를 바탕으로, 국가기록원의 기록정보와 국사편찬위원회의 역사 자료를 지속해서 연계하고 공동 활용하는 기반을 마련하기 위해 추진됐다. 양 기관은 이를 계기로 국가기록원이 연구 중인 ‘범국가 통합 활용 모델’의 적용 가능성을 함께 검증할 계획이다.
      
      &amp;#038;nbsp;
      
         ■&amp;#038;nbsp;흩어진 기록‧지식자원, 소장기관 몰라도 인공지능이 한 번에 찾아준다
      
      
         현재 국민이 특정 정책이나 역사적 사건과 관련된 자료를 찾으려면 해당 자료를 어느 기관이 보유하고 있는지 알기 어려워, 여러 기관의 누리집에 일일이 접속해 각각 검색해야 하는 불편을 겪고 있다.
      
      &amp;#038;nbsp;
      
         국가기록원이 현재 연구‧설계 중인 ‘범국가 기록정보 통합활용체계’는 모든 자료를 한곳에 모으지 않고 기관별 데이터와 시스템을 그대로 유지하면서, 인공지능(AI) 에이전트가 이용자의 질문에 맞춰 관련 기관의 자료를 찾아 검색 결과를 종합하고 출처와 원문 위치까지 안내하는 방식이다.
      
      &amp;#038;nbsp;
      
         특히, 각 기관이 관리해 온 기록과 역사 자료를 서비스의 기반으로 삼아 이용자가 소장자료의 원문을 직접 찾아 활용할 수 있도록 함으로써, 기관 보유 자료에 기반한 신뢰성 높은 기록정보 서비스를 제공할 예정이다.
      
      &amp;#038;nbsp;
      
         ■국사편찬위원회와 시범 검증 착수, 범국가 통합 활용 협력 기반 마련
      
      
         국사편찬위원회와의 협력은 이러한 범국가 모델의 적용 가능성을 실제 기관 자료를 통해 처음 검증하는 사례라는 점에서 의미가 크다. 특히, 국가기록원이 보유한 1948년 정부수립 이후의 기록과 국사편찬위원회의 근대 역사 자료를 연계하면, 근대부터 현재에 이르는 정책과 사회 변화의 흐름을 폭넓게 살펴볼 수 있을 것으로 기대된다.
      
      &amp;#038;nbsp;
      
         양 기관은 서로 다른 구조의 기록정보와 역사 자료를 연계해 관련 자료를 함께 찾을 수 있는지 시범적으로 검증한다. 이 과정에서 기관마다 다른 용어와 분류체계를 연결하는 기준을 세우고, 국민이 편리하게 이용할 수 있는 서비스 방안도 함께 살펴볼 계획이다.
      
      &amp;#038;nbsp;
      
         이번 협약에 따라 양 기관은 ▲기록정보와 역사 자료의 상호 연계 및 공동 활용, ▲인공지능 등 정보기술을 활용한 서비스 역량 강화와 경험‧기술 공유, ▲기록정보‧역사 자료의 연계‧활용 기반 조성 및 대국민 이용 모델 개발 등을 추진한다.
      
      &amp;#038;nbsp;
      
         양 기관은 실증을 통해 기록정보와 역사 자료의 공동 활용 모델을 구체화할 계획이다. 국가기록원은 실증 결과를 바탕으로 기록‧지식자원을 보유한 다양한 공공‧민간 기관으로 대상을 확대하기 위해 후속 구축 사업을 기획하고 필요한 재원 확보를 추진할 방침이다.
      
      &amp;#038;nbsp;
      
         한편, 양 기관은 기록물 평가 분야에서도 협력을 강화하기로 했다. 국가기록원은 국사편찬위원회의 사료전문가가 기록물 평가에 당연직 위원으로 참여하도록 추진하고, 향후「공공기록물 관리에 관한 법률 시행령」개정 시 이를 명문화할 계획이다.
      
      &amp;#038;nbsp;
      
         이용철 국가기록원장은 “이번 협약은 각 기관이 축적한 인공지능(AI) 활용 역량을 기관 간 기록정보 연계로 확장하기 위한 첫걸음”이라며, “각 기관의 고유한 데이터 체계를 존중하면서도 국민이 기관의 경계를 넘어 관련 기록과 지식자원을 편리하게 이용할 수 있도록 실증을 철저히 추진하고, 후속 구축 기반을 차질 없이 마련하겠다”라고 말했다.
      
      
         &amp;#038;nbsp;
      
      
         데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224419547328
      
      
      
   
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         <img src="https://www.datapress.kr/data/tmp/2609/20260922100846_byvzzcvs.jpg" alt="국가기록원-국사편찬위원회.JPG" style="width: 875px; height: 492px;" />
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         <b><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">- </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">-</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국사편찬위원회</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기록정보</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">역사 자료 연계</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">공동 활용 업무협약 체결</span></b>
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         <b><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">- </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">인공지능</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(AI) </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">에이전트 기반 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‘</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">범국가 기록정보 통합활용체계</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">’ </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">첫 시범 검증 착수</span></b>
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         <b><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">- </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">실증 결과 바탕으로 다양한 공공</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">·</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">민간 기관으로 연계망 확대 예정</span></b>
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         <span lang="EN-US"></span>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">&nbsp;</span>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">행정안전부 국가기록원</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">원장 이용철</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">)</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">은 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">9</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">월 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">18</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">일</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">금</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">) </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원 성남분원에서 국사편찬위원회와 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‘</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기록정보와 역사 자료의 연계</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">공동 활용을 위한 업무협약</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(MOU)’</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">을 체결했다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
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      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">양 기관은 과학기술정보통신부의 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‘</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">부처 협업 기반 인공지능</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(AI) </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">확산</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">’ </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">사업과 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‘</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">공공 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">AX </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">프로젝트</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">’</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">를 통해 각각 인공지능</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(AI) </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기록정보 검색</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">요약</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">추천 서비스와 근대 다문자 자료의 인식</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">검색</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">번역 서비스를 개발해 실증하고 있다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">이번 협약은 양 기관이 축적한 인공지능 활용 경험과 성과를 바탕으로</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원의 기록정보와 국사편찬위원회의 역사 자료를 지속해서 연계하고 공동 활용하는 기반을 마련하기 위해 추진됐다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">. </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">양 기관은 이를 계기로 국가기록원이 연구 중인 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‘</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">범국가 통합 활용 모델</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">’</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">의 적용 가능성을 함께 검증할 계획이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
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         <b><span lang="EN-US" style="letter-spacing: 0pt;"></span>■&nbsp;<span lang="EN-US" style="letter-spacing: 0pt;"></span><span style="font-family: 함초롬바탕;">흩어진 기록</span><span style="font-family: 함초롬바탕; letter-spacing: 0pt;">‧</span><span style="font-family: 함초롬바탕;">지식자원</span><span lang="EN-US" style="letter-spacing: 0pt;">, </span><span style="font-family: 함초롬바탕;">소장기관 몰라도 인공지능이 한 번에 찾아준다</span></b>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">현재 국민이 특정 정책이나 역사적 사건과 관련된 자료를 찾으려면 해당 자료를 어느 기관이 보유하고 있는지 알기 어려워</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">여러 기관의 누리집에 일일이 접속해 각각 검색해야 하는 불편을 겪고 있다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원이 현재 연구</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">설계 중인 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‘</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">범국가 기록정보 통합활용체계</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">’</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">는 모든 자료를 한곳에 모으지 않고 기관별 데이터와 시스템을 그대로 유지하면서</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">인공지능</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(AI) </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">에이전트가 이용자의 질문에 맞춰 관련 기관의 자료를 찾아 검색 결과를 종합하고 출처와 원문 위치까지 안내하는 방식이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
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         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">특히</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">각 기관이 관리해 온 기록과 역사 자료를 서비스의 기반으로 삼아 이용자가 소장자료의 원문을 직접 찾아 활용할 수 있도록 함으로써</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기관 보유 자료에 기반한 신뢰성 높은 기록정보 서비스를 제공할 예정이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
      <p class="0">
         <b><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">■</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국사편찬위원회와 시범 검증 착수</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">범국가 통합 활용 협력 기반 마련</span></b>
      </p>
      <p class="0">
         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국사편찬위원회와의 협력은 이러한 범국가 모델의 적용 가능성을 실제 기관 자료를 통해 처음 검증하는 사례라는 점에서 의미가 크다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">. </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">특히</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원이 보유한 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">1948</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">년 정부수립 이후의 기록과 국사편찬위원회의 근대 역사 자료를 연계하면</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">근대부터 현재에 이르는 정책과 사회 변화의 흐름을 폭넓게 살펴볼 수 있을 것으로 기대된다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
      <p class="0">
         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">양 기관은 서로 다른 구조의 기록정보와 역사 자료를 연계해 관련 자료를 함께 찾을 수 있는지 시범적으로 검증한다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">. </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">이 과정에서 기관마다 다른 용어와 분류체계를 연결하는 기준을 세우고</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국민이 편리하게 이용할 수 있는 서비스 방안도 함께 살펴볼 계획이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
      <p class="0">
         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">이번 협약에 따라 양 기관은 </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">▲</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기록정보와 역사 자료의 상호 연계 및 공동 활용</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">▲</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">인공지능 등 정보기술을 활용한 서비스 역량 강화와 경험</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기술 공유</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">▲</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">기록정보</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">역사 자료의 연계</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">활용 기반 조성 및 대국민 이용 모델 개발 등을 추진한다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
      <p class="0">
         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">양 기관은 실증을 통해 기록정보와 역사 자료의 공동 활용 모델을 구체화할 계획이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">. </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원은 실증 결과를 바탕으로 기록</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">지식자원을 보유한 다양한 공공</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">‧</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">민간 기관으로 대상을 확대하기 위해 후속 구축 사업을 기획하고 필요한 재원 확보를 추진할 방침이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
      <p class="0">
         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">한편</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">양 기관은 기록물 평가 분야에서도 협력을 강화하기로 했다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">. </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">국가기록원은 국사편찬위원회의 사료전문가가 기록물 평가에 당연직 위원으로 참여하도록 추진하고</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">향후</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">「</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">공공기록물 관리에 관한 법률 시행령</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">」</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">개정 시 이를 명문화할 계획이다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0"><!--[if !supportEmptyParas]-->&nbsp;<!--[endif]--><o:p></o:p></p>
      <p class="0">
         <span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">이용철 국가기록원장은 </span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">“</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">이번 협약은 각 기관이 축적한 인공지능</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">(AI) </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">활용 역량을 기관 간 기록정보 연계로 확장하기 위한 첫걸음</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">”</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">이라며</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, “</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">각 기관의 고유한 데이터 체계를 존중하면서도 국민이 기관의 경계를 넘어 관련 기록과 지식자원을 편리하게 이용할 수 있도록 실증을 철저히 추진하고</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">, </span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">후속 구축 기반을 차질 없이 마련하겠다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">”</span><span style="font-family:함초롬바탕;mso-fareast-font-family:함초롬바탕;">라고 말했다</span><span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">.</span>
      </p>
      <p class="0">
         <span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;">&nbsp;</span>
      </p>
      <p class="0">
         <span lang="EN-US" style="mso-fareast-font-family:함초롬바탕;mso-font-width:100%;letter-spacing:0pt;mso-text-raise:0pt;"><span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224419547328" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224419547328</span></a></span>
      </p>
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},
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},
"st": {
"01DD4A2EAB78458000000028": {
"id": 0,
"ty": 0,
"na": "바탕글",
"en": "Normal",
"pp": "01DD4A2EAB78458000000027",
"cp": "01DD4A2EAB781E7000000023",
"ns": "01DD4A2EAB78458000000028",
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},
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},
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"01DD4A2EAB781E7000000002": {
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"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
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{
"cp": "01DD4A2EAB781E7000000023",
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{
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{
"cc": 2,
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}
,
{
"t": "- 국가기록원-국사편찬위원회, 기록정보‧역사 자료 연계‧공동 활용 업무협약 체결"
}
]
}
]
},
"01DD4A2EAB781E7000000003": {
"np": "01DD4A2EAB781E7000000004",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "- 인공지능(AI) 에이전트 기반 ‘범국가 기록정보 통합활용체계’ 첫 시범 검증 착수"
}
]
}
]
},
"01DD4A2EAB781E7000000004": {
"np": "01DD4A2EAB781E7000000005",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "- 실증 결과 바탕으로 다양한 공공·민간 기관으로 연계망 확대 예정"
}
]
}
]
},
"01DD4A2EAB781E7000000005": {
"np": "01DD4A2EAB781E7000000006",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": " "
}
]
}
]
},
"01DD4A2EAB781E7000000006": {
"np": "01DD4A2EAB781E7000000007",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "행정안전부 국가기록원(원장 이용철)은 9월 18일(금) 국가기록원 성남분원에서 국사편찬위원회와 ‘기록정보와 역사 자료의 연계‧공동 활용을 위한 업무협약(MOU)’을 체결했다."
}
]
}
]
},
"01DD4A2EAB781E7000000007": {
"np": "01DD4A2EAB781E7000000008",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000008": {
"np": "01DD4A2EAB781E7000000009",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "양 기관은 과학기술정보통신부의 ‘부처 협업 기반 인공지능(AI) 확산’ 사업과 ‘공공 AX 프로젝트’를 통해 각각 인공지능(AI) 기록정보 검색‧요약‧추천 서비스와 근대 다문자 자료의 인식‧검색‧번역 서비스를 개발해 실증하고 있다."
}
]
}
]
},
"01DD4A2EAB781E7000000009": {
"np": "01DD4A2EAB781E700000000A",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E700000000A": {
"np": "01DD4A2EAB781E700000000B",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "이번 협약은 양 기관이 축적한 인공지능 활용 경험과 성과를 바탕으로, 국가기록원의 기록정보와 국사편찬위원회의 역사 자료를 지속해서 연계하고 공동 활용하는 기반을 마련하기 위해 추진됐다. 양 기관은 이를 계기로 국가기록원이 연구 중인 ‘범국가 통합 활용 모델’의 적용 가능성을 함께 검증할 계획이다."
}
]
}
]
},
"01DD4A2EAB781E700000000B": {
"np": "01DD4A2EAB781E700000000C",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E700000000C": {
"np": "01DD4A2EAB781E700000000D",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "\u003E\u003E 흩어진 기록‧지식자원, 소장기관 몰라도 인공지능이 한 번에 찾아준다"
}
]
}
]
},
"01DD4A2EAB781E700000000D": {
"np": "01DD4A2EAB781E700000000E",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E700000000E": {
"np": "01DD4A2EAB781E700000000F",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "현재 국민이 특정 정책이나 역사적 사건과 관련된 자료를 찾으려면 해당 자료를 어느 기관이 보유하고 있는지 알기 어려워, 여러 기관의 누리집에 일일이 접속해 각각 검색해야 하는 불편을 겪고 있다."
}
]
}
]
},
"01DD4A2EAB781E700000000F": {
"np": "01DD4A2EAB781E7000000010",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000010": {
"np": "01DD4A2EAB781E7000000011",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "국가기록원이 현재 연구‧설계 중인 ‘범국가 기록정보 통합활용체계’는 모든 자료를 한곳에 모으지 않고 기관별 데이터와 시스템을 그대로 유지하면서, 인공지능(AI) 에이전트가 이용자의 질문에 맞춰 관련 기관의 자료를 찾아 검색 결과를 종합하고 출처와 원문 위치까지 안내하는 방식이다."
}
]
}
]
},
"01DD4A2EAB781E7000000011": {
"np": "01DD4A2EAB781E7000000012",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000012": {
"np": "01DD4A2EAB781E7000000013",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "특히, 각 기관이 관리해 온 기록과 역사 자료를 서비스의 기반으로 삼아 이용자가 소장자료의 원문을 직접 찾아 활용할 수 있도록 함으로써, 기관 보유 자료에 기반한 신뢰성 높은 기록정보 서비스를 제공할 예정이다."
}
]
}
]
},
"01DD4A2EAB781E7000000013": {
"np": "01DD4A2EAB781E7000000014",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000014": {
"np": "01DD4A2EAB781E7000000015",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "\u003E\u003E 국사편찬위원회와 시범 검증 착수, 범국가 통합 활용 협력 기반 마련"
}
]
}
]
},
"01DD4A2EAB781E7000000015": {
"np": "01DD4A2EAB781E7000000016",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000016": {
"np": "01DD4A2EAB781E7000000017",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "국사편찬위원회와의 협력은 이러한 범국가 모델의 적용 가능성을 실제 기관 자료를 통해 처음 검증하는 사례라는 점에서 의미가 크다. 특히, 국가기록원이 보유한 1948년 정부수립 이후의 기록과 국사편찬위원회의 근대 역사 자료를 연계하면, 근대부터 현재에 이르는 정책과 사회 변화의 흐름을 폭넓게 살펴볼 수 있을 것으로 기대된다."
}
]
}
]
},
"01DD4A2EAB781E7000000017": {
"np": "01DD4A2EAB781E7000000018",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000018": {
"np": "01DD4A2EAB781E7000000019",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "양 기관은 서로 다른 구조의 기록정보와 역사 자료를 연계해 관련 자료를 함께 찾을 수 있는지 시범적으로 검증한다. 이 과정에서 기관마다 다른 용어와 분류체계를 연결하는 기준을 세우고, 국민이 편리하게 이용할 수 있는 서비스 방안도 함께 살펴볼 계획이다."
}
]
}
]
},
"01DD4A2EAB781E7000000019": {
"np": "01DD4A2EAB781E700000001A",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E700000001A": {
"np": "01DD4A2EAB781E700000001B",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "이번 협약에 따라 양 기관은 ▲기록정보와 역사 자료의 상호 연계 및 공동 활용, ▲인공지능 등 정보기술을 활용한 서비스 역량 강화와 경험‧기술 공유, ▲기록정보‧역사 자료의 연계‧활용 기반 조성 및 대국민 이용 모델 개발 등을 추진한다."
}
]
}
]
},
"01DD4A2EAB781E700000001B": {
"np": "01DD4A2EAB781E700000001C",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E700000001C": {
"np": "01DD4A2EAB781E700000001D",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "양 기관은 실증을 통해 기록정보와 역사 자료의 공동 활용 모델을 구체화할 계획이다. 국가기록원은 실증 결과를 바탕으로 기록‧지식자원을 보유한 다양한 공공‧민간 기관으로 대상을 확대하기 위해 후속 구축 사업을 기획하고 필요한 재원 확보를 추진할 방침이다."
}
]
}
]
},
"01DD4A2EAB781E700000001D": {
"np": "01DD4A2EAB781E700000001E",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E700000001E": {
"np": "01DD4A2EAB781E700000001F",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "한편, 양 기관은 기록물 평가 분야에서도 협력을 강화하기로 했다. 국가기록원은 국사편찬위원회의 사료전문가가 기록물 평가에 당연직 위원으로 참여하도록 추진하고, 향후「공공기록물 관리에 관한 법률 시행령」개정 시 이를 명문화할 계획이다."
}
]
}
]
},
"01DD4A2EAB781E700000001F": {
"np": "01DD4A2EAB781E7000000020",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": ""
}
]
}
]
},
"01DD4A2EAB781E7000000020": {
"np": "",
"id": -2147483648,
"pp": "01DD4A2EAB78458000000026",
"si": "01DD4A2EAB78458000000028",
"bf": 0,
"ru": [
{
"cp": "01DD4A2EAB781E7000000023",
"ch": [
{
"t": "이용철 국가기록원장은 “이번 협약은 각 기관이 축적한 인공지능(AI) 활용 역량을 기관 간 기록정보 연계로 확장하기 위한 첫걸음”이라며, “각 기관의 고유한 데이터 체계를 존중하면서도 국민이 기관의 경계를 넘어 관련 기록과 지식자원을 편리하게 이용할 수 있도록 실증을 철저히 추진하고, 후속 구축 기반을 차질 없이 마련하겠다”라고 말했다."
}
]
}
]
}
},
"sl": { },
"cs": {
"01DD4A2EAB781E7000000000": {
"cc": 2,
"ci": 1936024420,
"td": 0,
"tv": false,
"sc": 1134,
"ts": 8000,
"ms": "01DD4A2EAB78458000000029",
"os": "01DD4A2EAB78458000000025",
"gl": 0,
"gc": 0,
"gw": false,
"ns": 0,
"np": 0,
"ni": 0,
"nt": 0,
"ne": 0,
"hh": false,
"hf": false,
"hm": false,
"fb": false,
"hb": false,
"fi": false,
"hi": false,
"hp": false,
"he": false,
"sl": false,
"lr": 0,
"lc": 0,
"ld": 0,
"ls": 0,
"pp": {
"ls": false,
"wi": 59528,
"he": 84188,
"gt": 0,
"ml": 5669,
"mr": 5669,
"mt": 3600,
"mb": 2835,
"mh": 2900,
"mf": 2835,
"mg": 0
},
"fn": {
"at": 0,
"au": "",
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"ac": ")",
"as": false,
"ll": -1,
"lt": 1,
"lw": 1,
"lc": 0,
"sa": 850,
"sb": 567,
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,
"nt": 0,
"nn": 1,
"pp": 0,
"pb": false
},
"en": {
"at": 0,
"au": "",
"ap": "",
"ac": ")",
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"ll": 14692344,
"lt": 1,
"lw": 1,
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"sa": 850,
"sb": 567,
"st": 0
,
"nt": 0,
"nn": 1,
"pp": 0,
"pb": false
},
"pb": [
{
"ty": 0,
"bf": "01DD4A2EAB781E7000000021",
"tb": true,
"hi": false,
"fi": false,
"fa": 0,
"ol": 1417,
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"ot": 1417,
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},
{
"ty": 1,
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"tb": true,
"hi": false,
"fi": false,
"fa": 0,
"ol": 1417,
"or": 1417,
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},
{
"ty": 2,
"bf": "01DD4A2EAB781E7000000021",
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"hi": false,
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"fa": 0,
"ol": 1417,
"or": 1417,
"ot": 1417,
"ob": 1417
}
],
"mp": [ ]
}
,
"01DD4A2EAB781E7000000001": {
"cc": 2,
"ci": 1668246628,
"ty": 0,
"la": 0,
"co": 1,
"ss": true,
"sg": 0,
"lt": 0,
"lw": 0,
"lc": 0,
"cs": [ ]
}
},
"bi": [ ],
"bidt": { }
}--></div>
      </div>
   </div>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-22T10:19:32+09:00</atom:updated>
<atom:published>2026-09-22T10:13:21+09:00</atom:published>
</item>
<item>
<guid>2613</guid>
<title><![CDATA["부모 부양은 사회 책임, 가사는 공평하게"…10년 만에 뒤바뀐 대한민국 중장년층의 삶]]></title>
<link>https://datapress.kr/news/view.php?no=2613</link>
<mobile>https://datapress.kr/m/view.php?no=2613</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2613" rel="related"/>
<description><![CDATA[
대한민국 4064 중장년층의 라이프스타일과 의식이 최근 10년간 근본적인 구조적 변화를 겪은 것으로 나타났다. 전통적인 가부장적 가치관과 전통적 돌봄 책임에서 벗어나, 국가·사회와 책임을 분담하고 일과 삶의 균형을 추구하는 방향으로 거대한 체질 개선이 진행 중이다.&amp;#038;nbsp;&amp;#038;nbsp;

   

국가데이터처가 발표한 「사회조사로 살펴본 중장년층의 최근 10년간 인식 변화」 보고서에 따르면, 중장년층(40~64세)은 가족 내 역할, 일터에서의 가치관, 노후 준비 및 여가 활용 전반에서 뚜렷한 데이터 전환점을 보여주고 있다.&amp;#038;nbsp; &amp;#038;nbsp;

   


   [최근 10년간 대한민국 중장년층 핵심 지표 변화]

---------------------------------------------------------------------------------
&amp;#038;nbsp; 지표 항목&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;10년 전&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;최근(2024~2025)
---------------------------------------------------------------------------------
부모 부양 &amp;#039;가족·정부·사회가 함께&amp;#039;&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;49.0%&amp;#038;nbsp; &amp;#038;nbsp; →&amp;#038;nbsp; &amp;#038;nbsp;65.0% (+15.9%p)
가사 분담 &amp;#039;부부가 공평하게 해야&amp;#039;&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; 37.9%&amp;#038;nbsp; &amp;#038;nbsp; →&amp;#038;nbsp; &amp;#038;nbsp;64.4% (+26.5%p)
일과 가정생활 &amp;#039;균형 중시&amp;#039;&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;35.5%&amp;#038;nbsp; &amp;#038;nbsp; →&amp;#038;nbsp; &amp;#038;nbsp;47.6% (+12.1%p)
노후 준비 &amp;#039;하고 있거나 되어 있음&amp;#039;&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;75.8%&amp;#038;nbsp; &amp;#038;nbsp; →&amp;#038;nbsp; &amp;#038;nbsp;81.9% (+6.1%p)
노후 준비 수단 중 &amp;#039;국민연금&amp;#039; 비중&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;51.7%&amp;#038;nbsp; &amp;#038;nbsp; →&amp;#038;nbsp; &amp;#038;nbsp;61.0% (+9.3%p)
일상생활 스트레스 &amp;#039;느낀다&amp;#039;&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;70.1%&amp;#038;nbsp; &amp;#038;nbsp; →&amp;#038;nbsp; &amp;#038;nbsp;42.6% (-27.5%p)
---------------------------------------------------------------------------------

   *자료: 국가데이터처 사회조사(2014~2025)


   


   ■ &amp;#039;가족의 책임&amp;#039;에서 &amp;#039;공동의 책임&amp;#039;으로… 부모 부양·가사 인식의 대전환

가장 눈에 띄는 대목은 부모 부양과 가사 분담에 대한 인식 변화다. 부모 부양을 &amp;#039;가족·정부·사회가 함께 책임져야 한다&amp;#039;는 응답은 2014년 49.0%에서 2024년 65.0%로 15.9%p 상승했다. 반면 부모 부양을 오롯이 &amp;#039;가족&amp;#039;의 몫으로 보던 응답은 29.8%에서 16.7%로 급감했다.&amp;#038;nbsp;

   

가사 노동에 대한 관점 역시 크게 변했다. 가사를 &amp;#039;부부가 공평하게 분담해야 한다&amp;#039;는 견해는 10년 만에 37.9%에서 64.4%로 26.5%p 폭증했다. 다만 실제 가사를 공평하게 분담하고 있다는 응답은 22.1%에 그쳐, &amp;#039;인식(64.4%)&amp;#039;과 &amp;#039;실제 실태(22.1%)&amp;#039; 사이에 유의미한 격차(42.3%p)가 여전히 존재하는 것으로 분석됐다.&amp;#038;nbsp; &amp;#038;nbsp;

   


   ■ &amp;#039;워커홀릭&amp;#039; 탈피… 일-가정 균형 및 노후 의료·돌봄 수요 급증

일터와 삶을 대하는 태도도 변화했다. &amp;#039;일을 우선시한다&amp;#039;는 응답은 2015년 54.1%에서 2025년 35.0%로 19.1%p 감소한 반면, &amp;#039;일과 가정생활을 비슷하게 중시한다&amp;#039;는 비중은 35.5%에서 47.6%로 증가하여 중장년층에서도 Work-Life Balance가 주류 가치관으로 자리 잡았음을 보여준다.&amp;#038;nbsp; &amp;#038;nbsp;

   

경제적 여건 측면에서는 가구 소득 증가 인식(17.7% → 23.8%)과 부채 감축 인식(26.6% → 22.6%)이 이어지며 미세한 개선세를 보였으나, 고용 불안감은 여전히 55.8%에 달해 절반 이상의 중장년층이 일자리에 대한 불안을 안고 살아가는 것으로 조사됐다.&amp;#038;nbsp; &amp;#038;nbsp;

   

노후 준비율은 81.9%로 10명 중 8명을 넘어섰으며, 주된 수단으로는 &amp;#039;국민연금(61.0%)&amp;#039;에 대한 의존도가 더욱 심화되었다. 특히 노후를 위해 사회에 요구하는 역할로 &amp;#039;의료·요양보호 서비스&amp;#039;를 꼽은 비율이 10년 전 18.9%에서 30.3%로 11.4%p 급증해, 향후 초고령사회 진입에 따른 보건·돌봄 공공 인프라 확대가 시급함을 시사했다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224419495569

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260922092005_ecbkooxi.jpg" alt="중장년층.JPG" style="width: 875px; height: 490px;" /></p>
<p>대한민국 4064 중장년층의 라이프스타일과 의식이 최근 10년간 근본적인 구조적 변화를 겪은 것으로 나타났다. 전통적인 가부장적 가치관과 전통적 돌봄 책임에서 벗어나, 국가·사회와 책임을 분담하고 일과 삶의 균형을 추구하는 방향으로 거대한 체질 개선이 진행 중이다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>국가데이터처가 발표한 「사회조사로 살펴본 중장년층의 최근 10년간 인식 변화」 보고서에 따르면, 중장년층(40~64세)은 가족 내 역할, 일터에서의 가치관, 노후 준비 및 여가 활용 전반에서 뚜렷한 데이터 전환점을 보여주고 있다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>[최근 10년간 대한민국 중장년층 핵심 지표 변화]</b>
</p>
<p>---------------------------------------------------------------------------------</p>
<p>&nbsp; 지표 항목&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;10년 전&nbsp; &nbsp; &nbsp; &nbsp;최근(2024~2025)</p>
<p>---------------------------------------------------------------------------------</p>
<p>부모 부양 '가족·정부·사회가 함께'&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;49.0%&nbsp; &nbsp; →&nbsp; &nbsp;65.0% (+15.9%p)</p>
<p>가사 분담 '부부가 공평하게 해야'&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 37.9%&nbsp; &nbsp; →&nbsp; &nbsp;64.4% (+26.5%p)</p>
<p>일과 가정생활 '균형 중시'&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;35.5%&nbsp; &nbsp; →&nbsp; &nbsp;47.6% (+12.1%p)</p>
<p>노후 준비 '하고 있거나 되어 있음'&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;75.8%&nbsp; &nbsp; →&nbsp; &nbsp;81.9% (+6.1%p)</p>
<p>노후 준비 수단 중 '국민연금' 비중&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;51.7%&nbsp; &nbsp; →&nbsp; &nbsp;61.0% (+9.3%p)</p>
<p>일상생활 스트레스 '느낀다'&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;70.1%&nbsp; &nbsp; →&nbsp; &nbsp;42.6% (-27.5%p)</p>
<p>---------------------------------------------------------------------------------</p>
<p>
   <span style="font-size: 14px;">*자료: 국가데이터처 사회조사(2014~2025)</span>
</p>
<p>
   <br />
</p>
<p>
   <b>■ '가족의 책임'에서 '공동의 책임'으로… 부모 부양·가사 인식의 대전환</b>
</p>
<p>가장 눈에 띄는 대목은 부모 부양과 가사 분담에 대한 인식 변화다. 부모 부양을 '가족·정부·사회가 함께 책임져야 한다'는 응답은 2014년 49.0%에서 2024년 65.0%로 15.9%p 상승했다. 반면 부모 부양을 오롯이 '가족'의 몫으로 보던 응답은 29.8%에서 16.7%로 급감했다.&nbsp;</p>
<p>
   <br />
</p>
<p>가사 노동에 대한 관점 역시 크게 변했다. 가사를 '부부가 공평하게 분담해야 한다'는 견해는 10년 만에 37.9%에서 64.4%로 26.5%p 폭증했다. 다만 실제 가사를 공평하게 분담하고 있다는 응답은 22.1%에 그쳐, '인식(64.4%)'과 '실제 실태(22.1%)' 사이에 유의미한 격차(42.3%p)가 여전히 존재하는 것으로 분석됐다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ '워커홀릭' 탈피… 일-가정 균형 및 노후 의료·돌봄 수요 급증</b>
</p>
<p>일터와 삶을 대하는 태도도 변화했다. '일을 우선시한다'는 응답은 2015년 54.1%에서 2025년 35.0%로 19.1%p 감소한 반면, '일과 가정생활을 비슷하게 중시한다'는 비중은 35.5%에서 47.6%로 증가하여 중장년층에서도 Work-Life Balance가 주류 가치관으로 자리 잡았음을 보여준다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>경제적 여건 측면에서는 가구 소득 증가 인식(17.7% → 23.8%)과 부채 감축 인식(26.6% → 22.6%)이 이어지며 미세한 개선세를 보였으나, 고용 불안감은 여전히 55.8%에 달해 절반 이상의 중장년층이 일자리에 대한 불안을 안고 살아가는 것으로 조사됐다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>노후 준비율은 81.9%로 10명 중 8명을 넘어섰으며, 주된 수단으로는 '국민연금(61.0%)'에 대한 의존도가 더욱 심화되었다. 특히 노후를 위해 사회에 요구하는 역할로 '의료·요양보호 서비스'를 꼽은 비율이 10년 전 18.9%에서 30.3%로 11.4%p 급증해, 향후 초고령사회 진입에 따른 보건·돌봄 공공 인프라 확대가 시급함을 시사했다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224419495569" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224419495569</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-22T09:30:25+09:00</atom:updated>
<atom:published>2026-09-22T09:20:15+09:00</atom:published>
</item>
<item>
<guid>2612</guid>
<title><![CDATA[국내 VPS 시장도 엔터프라이즈급으로… 고용량 메모리·단독 스토리지 VPS 등장]]></title>
<link>https://datapress.kr/news/view.php?no=2612</link>
<mobile>https://datapress.kr/m/view.php?no=2612</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2612" rel="related"/>
<description><![CDATA[
   

&amp;#038;nbsp;

   


   글로벌호스트 ‘Ultra VPS’ 출시… 개발용 넘어 기업 업무시스템 시장 공략


   고용량 메모리·단독 SSD 제공… 클라우드 비용 절감 대안 제시


   

국내 가상서버(VPS) 시장이 기존 개발·테스트 중심의 소규모 서비스에서 기업용 고성능 서버 시장으로 영역을 확대하고 있다.

   

그동안 VPS는 홈페이지 운영이나 개발·테스트 서버 등에 주로 활용됐지만, 최근에는 데이터베이스(DB)와 기업 업무시스템에서도 고용량 메모리와 높은 스토리지 성능을 요구하는 수요가 늘고 있다. 특히 퍼블릭 클라우드 사용 증가에 따른 비용 부담이 커지면서 상대적으로 저렴한 고성능 VPS가 새로운 대안으로 주목받고 있다.

   

한국컨텐츠인프라(대표 구자성)는 호스팅·클라우드 플랫폼 글로벌호스트를 통해 이러한 수요를 겨냥한 기업용 고성능 가상서버 서비스 ‘울트라 VPS’를 선보였다.

   

울트라 VPS는 고용량 메모리와 단독 스토리지를 특징으로 한다. 기본형은 8vCPU, 16GB 메모리, 단독 500GB SSD로 구성되며 월 6만원부터 이용할 수 있다. 메모리는 최대 512GB까지 확장할 수 있으며, 스토리지는 최대 4TB SSD 또는 NVMe 구성이 가능하다.

   

특히 일반적인 VPS 환경에서 스토리지 자원을 여러 가상서버가 공유하는 것과 달리 가상서버별 단독 SSD를 제공한다. 이를 통해 다른 가상서버의 디스크 사용량에 따른 영향을 줄이고 DB 서버나 파일 서버 등 디스크 I/O가 많은 서비스에서도 보다 안정적인 성능을 제공한다.

   

고용량 메모리를 지원해 대규모 데이터베이스, 인메모리 캐시, ERP·그룹웨어 등 기업 업무시스템과 대용량 웹서비스에도 활용할 수 있다. 일일 스냅샷 백업도 기본 제공한다.

   

최근 기업에서는 퍼블릭 클라우드의 편의성을 활용하면서도 지속적으로 증가하는 비용을 줄이기 위해 VPS, 단독 서버, 프라이빗 클라우드 등을 함께 검토하는 사례가 늘고 있다.

   

글로벌호스트는 VPS가 더 이상 소규모 개발용 서버에만 머무르는 서비스는 아니라며, 고용량 메모리와 단독 스토리지를 기반으로 기업의 실제 운영 서버에서도 사용할 수 있는 고성능 VPS 시장을 확대해 나갈 계획이라고 밝혔다.

   

한편 업계에서는 클라우드 비용 효율화에 대한 관심이 높아지면서 기업의 인프라 선택 역시 퍼블릭 클라우드 일변도에서 VPS와 단독 서버, 프라이빗 클라우드 등을 업무 특성에 맞게 선택하는 방향으로 다양해질 것으로 보고 있다.

   


   △ 한국컨텐츠인프라 소개

한국컨텐츠인프라는 글로벌호스트(GlobalHost)를 중심으로 VPS, 전용 서버, 코로케이션, GPU 서버, Private Cloud, CDN 및 스트리밍 인프라를 제공하는 IT 인프라 전문기업이다. Express VPS, Ultra VPS, Windows VPS 등 다양한 가상서버 상품과 Proxmox 기반 클라우드 구축·운영, 데이터센터 및 네트워크 서비스를 통해 기업의 안정적인 IT 환경을 지원한다. 국내를 기반으로 아시아와 글로벌 시장을 연결하는 신뢰할 수 있는 인프라 파트너를 지향한다.

   

웹사이트: http://www.globalhost.co.kr
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224418396135

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260921095253_iqyrbksa.jpg" alt="vps1.JPG" style="width: 717px; height: 597px;" />
</p>
<p>&nbsp;</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260921095300_yowktbcz.jpg" alt="vps2.JPG" style="width: 717px; height: 391px;" />
</p>
<p>
   <b>글로벌호스트 ‘Ultra VPS’ 출시… 개발용 넘어 기업 업무시스템 시장 공략</b>
</p>
<p>
   <b>고용량 메모리·단독 SSD 제공… 클라우드 비용 절감 대안 제시</b>
</p>
<p>
   <br />
</p>
<p>국내 가상서버(VPS) 시장이 기존 개발·테스트 중심의 소규모 서비스에서 기업용 고성능 서버 시장으로 영역을 확대하고 있다.</p>
<p>
   <br />
</p>
<p>그동안 VPS는 홈페이지 운영이나 개발·테스트 서버 등에 주로 활용됐지만, 최근에는 데이터베이스(DB)와 기업 업무시스템에서도 고용량 메모리와 높은 스토리지 성능을 요구하는 수요가 늘고 있다. 특히 퍼블릭 클라우드 사용 증가에 따른 비용 부담이 커지면서 상대적으로 저렴한 고성능 VPS가 새로운 대안으로 주목받고 있다.</p>
<p>
   <br />
</p>
<p>한국컨텐츠인프라(대표 구자성)는 호스팅·클라우드 플랫폼 글로벌호스트를 통해 이러한 수요를 겨냥한 기업용 고성능 가상서버 서비스 ‘울트라 VPS’를 선보였다.</p>
<p>
   <br />
</p>
<p>울트라 VPS는 고용량 메모리와 단독 스토리지를 특징으로 한다. 기본형은 8vCPU, 16GB 메모리, 단독 500GB SSD로 구성되며 월 6만원부터 이용할 수 있다. 메모리는 최대 512GB까지 확장할 수 있으며, 스토리지는 최대 4TB SSD 또는 NVMe 구성이 가능하다.</p>
<p>
   <br />
</p>
<p>특히 일반적인 VPS 환경에서 스토리지 자원을 여러 가상서버가 공유하는 것과 달리 가상서버별 단독 SSD를 제공한다. 이를 통해 다른 가상서버의 디스크 사용량에 따른 영향을 줄이고 DB 서버나 파일 서버 등 디스크 I/O가 많은 서비스에서도 보다 안정적인 성능을 제공한다.</p>
<p>
   <br />
</p>
<p>고용량 메모리를 지원해 대규모 데이터베이스, 인메모리 캐시, ERP·그룹웨어 등 기업 업무시스템과 대용량 웹서비스에도 활용할 수 있다. 일일 스냅샷 백업도 기본 제공한다.</p>
<p>
   <br />
</p>
<p>최근 기업에서는 퍼블릭 클라우드의 편의성을 활용하면서도 지속적으로 증가하는 비용을 줄이기 위해 VPS, 단독 서버, 프라이빗 클라우드 등을 함께 검토하는 사례가 늘고 있다.</p>
<p>
   <br />
</p>
<p>글로벌호스트는 VPS가 더 이상 소규모 개발용 서버에만 머무르는 서비스는 아니라며, 고용량 메모리와 단독 스토리지를 기반으로 기업의 실제 운영 서버에서도 사용할 수 있는 고성능 VPS 시장을 확대해 나갈 계획이라고 밝혔다.</p>
<p>
   <br />
</p>
<p>한편 업계에서는 클라우드 비용 효율화에 대한 관심이 높아지면서 기업의 인프라 선택 역시 퍼블릭 클라우드 일변도에서 VPS와 단독 서버, 프라이빗 클라우드 등을 업무 특성에 맞게 선택하는 방향으로 다양해질 것으로 보고 있다.</p>
<p>
   <br />
</p>
<p>
   <b>△ 한국컨텐츠인프라 소개</b>
</p>
<p>한국컨텐츠인프라는 글로벌호스트(GlobalHost)를 중심으로 VPS, 전용 서버, 코로케이션, GPU 서버, Private Cloud, CDN 및 스트리밍 인프라를 제공하는 IT 인프라 전문기업이다. Express VPS, Ultra VPS, Windows VPS 등 다양한 가상서버 상품과 Proxmox 기반 클라우드 구축·운영, 데이터센터 및 네트워크 서비스를 통해 기업의 안정적인 IT 환경을 지원한다. 국내를 기반으로 아시아와 글로벌 시장을 연결하는 신뢰할 수 있는 인프라 파트너를 지향한다.</p>
<p>
   <br />
</p>
<p>웹사이트: <a href="http://www.globalhost.co.kr" target="_blank">http://www.globalhost.co.kr</a></p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224418396135" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224418396135</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-21T09:56:54+09:00</atom:updated>
<atom:published>2026-09-21T09:54:31+09:00</atom:published>
</item>
<item>
<guid>2611</guid>
<title><![CDATA[소버린월렛 메타무이, 양자내성 메인넷 전환… 더블록·코인텔레그래프 통해 공개]]></title>
<link>https://datapress.kr/news/view.php?no=2611</link>
<mobile>https://datapress.kr/m/view.php?no=2611</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2611" rel="related"/>
<description><![CDATA[
   


   
      
      발행부터 결제까지,  양자내성 기반으로-발행·전송·결제까지
   
   
&amp;#038;nbsp;
&amp;#038;nbsp;

   
      
      자산은 그대로, 네트워크만 진화 - 기존 네트워크에서 양자내성 메인넷으로
   
   
&amp;#038;nbsp;

   9월 13일 블록 35,499,408에서 하드포크 완료
   기존 이용자는 지갑 앱 업데이트만으로 전환 기술백서(Blue Paper)·깃허브 소스·온체인 익스플로러 동시 공개
   9월 말 기관 대상 데모넷 개방 예정
   

   

2026년 9월 18일 -- 국내 블록체인 기업 소버린월렛(SovereignWallet)이 개발한 메인넷 메타무이(MetaMUI)가 양자컴퓨터에 대비한 암호체계 전환을 완료했다.

   

메타무이는 미국 뉴욕 시간 9월 17일 오전 글로벌 블록체인 전문 매체 더블록(The Block)과 코인텔레그래프(Cointelegraph)를 통해 지난 9월 13일 블록 35,499,408에서 양자내성 하드포크를 성공적으로 완료했다고 알렸다. 동시에 기술백서인 블루페이퍼(Blue Paper)와 개발 리소스인 깃허브(GitHub) 저장소, 온체인 익스플로러를 공개했다.

   


   ■ 핵심은 ‘이용자가 자산을 옮기지 않았다’는 점

이번 전환에서 주목할 지점은 암호 알고리즘 교체 자체가 아니라 이미 운영 중인 네트워크의 기존 이용자를 어떻게 옮겼는가에 있다.

   

대부분의 블록체인은 주소가 암호키에서 파생되는 구조다. 키를 바꾸면 주소가 달라지므로 암호체계를 교체하려면 모든 보유자가 직접 새 주소로 자산을 옮겨야 한다. 비트코인의 경우 자체 양자내성 제안서 공동저자가 전환에 7년을 예상했고, 그마저도 ‘모두가 동의한다는 가정’이라는 단서를 달았다.

   

메타무이는 계정 구조가 다르다. 계정 자체가 탈중앙 신원식별자(DID)이고, 암호키는 그 신원에 등록되는 자격증명으로 작동한다. 잔액이 특정 키가 아니라 신원에 묶여 있어 키를 교체해도 자산이 움직이지 않는다.

   

하드포크 과정에서 메타무이의 계정 네임스페이스는 did:ssid:에서 did:mmui:로 이전됐다. 기존 이용자가 메타무이 월렛을 업데이트하고 평소처럼 잠금을 해제하면 그 동작이 이어받은 신원에 대해 양자내성 서명키(Falcon-512) 등록을 승인한다. 별도 계정 생성이나 잔액 이전, 이용자가 부담하는 전환 수수료가 발생하지 않는다. 거래소 등 커스터디언은 보관 중인 잔액에 대해 키를 대신 등록할 수 있어 거래소 이용 고객은 별도 조치가 필요 없다.

   

윤석구 메타무이 창업자 겸 최고설계자(Chief Architect)는 “진짜 과제는 더 강한 알고리즘을 고르는 것이 아니라 살아 있는 네트워크의 암호체계를 이용자에게 자산 이동을 강요하지 않고 바꾸는 것”이라며 “이번 하드포크가 메인넷에서 그것을 보여준 사례”라고 밝혔다.

   


   ■ 서명·신원·합의 전 영역에 양자내성 적용

전환 이후 메타무이는 트랜잭션 서명, 신원, 합의 세 영역 모두에 양자내성 서명을 적용한다. 사용 알고리즘은 Falcon-512로, 서명 크기가 작고 검증 비용이 낮아 결제 인프라에 적합하다는 점이 선정 이유다. Falcon은 현재 미국 국립표준기술연구소(NIST)가 FN-DSA라는 명칭으로 FIPS 206 표준화를 진행 중이며, 아직 초안(draft) 단계다.

   

성능은 결정적 단일 블록 파이널리티 구조로, 자체 측정 결과 중앙값 약 65밀리초, 99퍼센타일 약 524밀리초를 기록했다. 다만 이는 단일 리전에 검증인 3개를 둔 구성에서의 측정치다. 처리량은 약 2950TPS로 제시됐으나 회사는 이를 부하 시험 결과가 아닌 블록 점유율 기반 도출값이라고 명시했다.

   

&amp;#038;nbsp;

   ■ 프로젝트가 밝힌 한계

메타무이는 이번 전환을 ‘모든 계정의 자동 일괄 전환’이 아니라 ‘기존 이용자를 위한 제자리 전환 경로’로 규정했다. 한 번도 다시 열지 않는 휴면 지갑은 이용자가 업데이트된 지갑으로 활성화하기 전까지 기존 고전 암호키를 유지한다는 점을 함께 공개했다.

   

이 밖에 블루페이퍼에는 크로스체인 설계가 아직 외부 감사를 받지 않았다는 점, 서명 검증 시간과 거버넌스 구성이 미공개라는 점, 대규모 검증인 구성과 지속 부하 환경에서의 성능이 측정되지 않았다는 점 등 미완성 항목이 별도 장으로 정리돼 있다.

   


   ■ 9월 말 기관 대상 데모넷 개방

메타무이는 이번 공개에 이어 9월 말경 기관 대상 데모넷(Demo Network)을 개방하고 화이트리스트 신청을 받을 계획이다.

   

데모넷에서는 금융기관이 스마트컨트랙트를 작성하거나 감사할 필요 없이 플랫폼 관리 도구를 통해 스테이블코인과 예금토큰을 직접 발행 테스트할 수 있으며, 부하 상황에서의 파이널리티 측정, 신원 발급과 양자내성 키 등록, 크로스체인 승인 절차를 직접 검증할 수 있다.

   

※ 참고 자료
· 블루페이퍼(기술백서): https://sovereignwallet-network.github.io/Home-whitepaper/MetaMUI-Blue-Paper.pdf
· 온체인 익스플로러: https://explorer.metamui.id
· 깃허브 소스: https://github.com/SovereignWallet-Network

   


   △ 소버린월렛 소개

소버린월렛은 서울에 본사를 둔 엔터프라이즈 블록체인 기술 기업으로, 양자내성(Quantum-Resistant)과 분산신원(DID, Decentralized Identity)을 코어 아키텍처에 내재화한 블록체인 플랫폼 ‘메타무이(MetaMUI)’를 개발·운영하고 있다. 메타무이는 지갑(Wallet) 기반 솔루션이 아니라 기존 코어뱅킹 시스템이 토큰 뱅킹(Token Banking)으로 진화하는 모델을 구현한 6세대 메인넷이다. 은행과 금융기관이 예금·결제·정산 등 핵심 금융 기능을 토큰화된 형태로 운영할 수 있도록 지원하며, 지갑 SDK를 포함한 개발 도구를 함께 제공한다. 회사는 양자 컴퓨팅 시대에 대비한 포스트 양자 암호(Post-Quantum Cryptography)와 DID 기반 신원 인증을 결합해 금융기관이 요구하는 높은 보안성과 규제 대응력을 갖춘 인프라를 지향한다. 현재 은행, 통신사, 핀테크 기업을 주요 파트너로 아시아·태평양 지역을 중심으로 사업을 전개하고 있다.

   

X: https://x.com/MMUI_Official
웹사이트: https://sovereignwallet.network/
&amp;#038;nbsp;
데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224418368865
]]></description>
<content:encoded><![CDATA[<p>
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   <figure class="cheditor-caption" style="border: 0px solid rgb(204, 204, 204); background-color: #ffffff; margin: 0px; text-align: left; display: inline-block; width: 723px;">
      <img src="https://www.datapress.kr/data/tmp/2609/20260921091934_qdtugncq.jpg" alt="소버린월렛1.JPG" style="width: 723px; height: 403px;" />
      <figcaption class="cheditor-caption-text" style="margin: 10px 0px 10px 0px;color:#999; text-align: left; line-height: 18px; font-size: 12px; letter-spacing: -0.04em; text-align:justify;">발행부터 결제까지,  양자내성 기반으로-발행·전송·결제까지</figcaption>
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<p>&nbsp;</p>
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   <figure class="cheditor-caption" style="border: 0px solid rgb(204, 204, 204); background-color: #ffffff; margin: 0px; text-align: left; display: inline-block; width: 718px;">
      <img src="https://www.datapress.kr/data/tmp/2609/20260921091934_bcfpgzzi.jpg" alt="소버린월렛2.JPG" style="width: 718px; height: 410px;" />
      <figcaption class="cheditor-caption-text" style="margin: 10px 0px 10px 0px;color:#999; text-align: left; line-height: 18px; font-size: 12px; letter-spacing: -0.04em; text-align:justify;">자산은 그대로, 네트워크만 진화 - 기존 네트워크에서 양자내성 메인넷으로</figcaption>
   </figure>
   </div>
<p>&nbsp;</p>
<ul>
   <li>9월 13일 블록 35,499,408에서 하드포크 완료</li>
   <li>기존 이용자는 지갑 앱 업데이트만으로 전환 기술백서(Blue Paper)·깃허브 소스·온체인 익스플로러 동시 공개</li>
   <li>9월 말 기관 대상 데모넷 개방 예정</li>
   </ul>
<p>
   <br />
</p>
<p>2026년 9월 18일 -- 국내 블록체인 기업 소버린월렛(SovereignWallet)이 개발한 메인넷 메타무이(MetaMUI)가 양자컴퓨터에 대비한 암호체계 전환을 완료했다.</p>
<p>
   <br />
</p>
<p>메타무이는 미국 뉴욕 시간 9월 17일 오전 글로벌 블록체인 전문 매체 <b>더블록(The Block)</b>과 <b>코인텔레그래프(Cointelegraph)</b>를 통해 지난 9월 13일 블록 35,499,408에서 양자내성 하드포크를 성공적으로 완료했다고 알렸다. 동시에 기술백서인 <b>블루페이퍼(Blue Paper)</b>와 개발 리소스인 깃허브(GitHub) 저장소, 온체인 익스플로러를 공개했다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 핵심은 ‘이용자가 자산을 옮기지 않았다’는 점</b>
</p>
<p>이번 전환에서 주목할 지점은 암호 알고리즘 교체 자체가 아니라 이미 운영 중인 네트워크의 기존 이용자를 어떻게 옮겼는가에 있다.</p>
<p>
   <br />
</p>
<p>대부분의 블록체인은 주소가 암호키에서 파생되는 구조다. 키를 바꾸면 주소가 달라지므로 암호체계를 교체하려면 모든 보유자가 직접 새 주소로 자산을 옮겨야 한다. 비트코인의 경우 자체 양자내성 제안서 공동저자가 전환에 7년을 예상했고, 그마저도 ‘모두가 동의한다는 가정’이라는 단서를 달았다.</p>
<p>
   <br />
</p>
<p>메타무이는 계정 구조가 다르다. 계정 자체가 <b>탈중앙 신원식별자(DID)</b>이고, 암호키는 그 신원에 등록되는 자격증명으로 작동한다. 잔액이 특정 키가 아니라 신원에 묶여 있어 키를 교체해도 자산이 움직이지 않는다.</p>
<p>
   <br />
</p>
<p>하드포크 과정에서 메타무이의 계정 네임스페이스는 did:ssid:에서 did:mmui:로 이전됐다. 기존 이용자가 메타무이 월렛을 업데이트하고 평소처럼 잠금을 해제하면 그 동작이 이어받은 신원에 대해 양자내성 서명키(Falcon-512) 등록을 승인한다. 별도 계정 생성이나 잔액 이전, 이용자가 부담하는 전환 수수료가 발생하지 않는다. 거래소 등 커스터디언은 보관 중인 잔액에 대해 키를 대신 등록할 수 있어 거래소 이용 고객은 별도 조치가 필요 없다.</p>
<p>
   <br />
</p>
<p>윤석구 메타무이 창업자 겸 최고설계자(Chief Architect)는 “진짜 과제는 더 강한 알고리즘을 고르는 것이 아니라 살아 있는 네트워크의 암호체계를 이용자에게 자산 이동을 강요하지 않고 바꾸는 것”이라며 “이번 하드포크가 메인넷에서 그것을 보여준 사례”라고 밝혔다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 서명·신원·합의 전 영역에 양자내성 적용</b>
</p>
<p>전환 이후 메타무이는 트랜잭션 서명, 신원, 합의 세 영역 모두에 양자내성 서명을 적용한다. 사용 알고리즘은 Falcon-512로, 서명 크기가 작고 검증 비용이 낮아 결제 인프라에 적합하다는 점이 선정 이유다. Falcon은 현재 미국 국립표준기술연구소(NIST)가 FN-DSA라는 명칭으로 FIPS 206 표준화를 진행 중이며, 아직 초안(draft) 단계다.</p>
<p>
   <br />
</p>
<p>성능은 결정적 단일 블록 파이널리티 구조로, 자체 측정 결과 중앙값 약 65밀리초, 99퍼센타일 약 524밀리초를 기록했다. 다만 이는 단일 리전에 검증인 3개를 둔 구성에서의 측정치다. 처리량은 약 2950TPS로 제시됐으나 회사는 이를 부하 시험 결과가 아닌 블록 점유율 기반 도출값이라고 명시했다.</p>
<p>
   <br />
</p>
<p>&nbsp;</p>
<p>
   <b>■ 프로젝트가 밝힌 한계</b>
</p>
<p>메타무이는 이번 전환을 ‘모든 계정의 자동 일괄 전환’이 아니라 <b>‘기존 이용자를 위한 제자리 전환 경로’</b>로 규정했다. 한 번도 다시 열지 않는 휴면 지갑은 이용자가 업데이트된 지갑으로 활성화하기 전까지 기존 고전 암호키를 유지한다는 점을 함께 공개했다.</p>
<p>
   <br />
</p>
<p>이 밖에 블루페이퍼에는 크로스체인 설계가 아직 외부 감사를 받지 않았다는 점, 서명 검증 시간과 거버넌스 구성이 미공개라는 점, 대규모 검증인 구성과 지속 부하 환경에서의 성능이 측정되지 않았다는 점 등 미완성 항목이 별도 장으로 정리돼 있다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 9월 말 기관 대상 데모넷 개방</b>
</p>
<p>메타무이는 이번 공개에 이어 9월 말경 기관 대상 데모넷(Demo Network)을 개방하고 화이트리스트 신청을 받을 계획이다.</p>
<p>
   <br />
</p>
<p>데모넷에서는 금융기관이 스마트컨트랙트를 작성하거나 감사할 필요 없이 플랫폼 관리 도구를 통해 스테이블코인과 예금토큰을 직접 발행 테스트할 수 있으며, 부하 상황에서의 파이널리티 측정, 신원 발급과 양자내성 키 등록, 크로스체인 승인 절차를 직접 검증할 수 있다.</p>
<p>
   <br />
</p>
<p>※ 참고 자료</p>
<p>· 블루페이퍼(기술백서): https://sovereignwallet-network.github.io/Home-whitepaper/MetaMUI-Blue-Paper.pdf</p>
<p>· 온체인 익스플로러: https://explorer.metamui.id</p>
<p>· 깃허브 소스: https://github.com/SovereignWallet-Network</p>
<p>
   <br />
</p>
<p>
   <b>△ 소버린월렛 소개</b>
</p>
<p>소버린월렛은 서울에 본사를 둔 엔터프라이즈 블록체인 기술 기업으로, 양자내성(Quantum-Resistant)과 분산신원(DID, Decentralized Identity)을 코어 아키텍처에 내재화한 블록체인 플랫폼 ‘메타무이(MetaMUI)’를 개발·운영하고 있다. 메타무이는 지갑(Wallet) 기반 솔루션이 아니라 기존 코어뱅킹 시스템이 토큰 뱅킹(Token Banking)으로 진화하는 모델을 구현한 6세대 메인넷이다. 은행과 금융기관이 예금·결제·정산 등 핵심 금융 기능을 토큰화된 형태로 운영할 수 있도록 지원하며, 지갑 SDK를 포함한 개발 도구를 함께 제공한다. 회사는 양자 컴퓨팅 시대에 대비한 포스트 양자 암호(Post-Quantum Cryptography)와 DID 기반 신원 인증을 결합해 금융기관이 요구하는 높은 보안성과 규제 대응력을 갖춘 인프라를 지향한다. 현재 은행, 통신사, 핀테크 기업을 주요 파트너로 아시아·태평양 지역을 중심으로 사업을 전개하고 있다.</p>
<p>
   <br />
</p>
<p>X: <a href="https://x.com/MMUI_Official" target="_blank">https://x.com/MMUI_Official</a></p>
<p style="text-align: left;">웹사이트: <a href="https://sovereignwallet.network/" target="_blank">https://sovereignwallet.network/</a></p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;"><span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224418368865" target="_blank" style=""><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224418368865</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-21T09:29:27+09:00</atom:updated>
<atom:published>2026-09-21T09:22:29+09:00</atom:published>
</item>
<item>
<guid>2610</guid>
<title><![CDATA[하루 1.7조 넘게 쓰인다…2026년 상반기 전자지급결제(PG)·선불수단 ‘고공행진’]]></title>
<link>https://datapress.kr/news/view.php?no=2610</link>
<mobile>https://datapress.kr/m/view.php?no=2610</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2610" rel="related"/>
<description><![CDATA[
   



   한은 &amp;#039;2026년 상반기중 전자지급서비스 이용현황&amp;#039; 발표
   PG 일평균 1조 7,234억, 선불지급 1조 5,535억… 전년 대비 각각 12.6%, 21.9% ↑
   간편지급·간편송금 시장 확대 속에 전자금융업자 비중 지속 상승&amp;#038;nbsp;&amp;#038;nbsp;
   
&amp;#038;nbsp;
2026년 상반기 한국인의 일상적인 상거래 및 송금 환경에서 전자지급결제대행(PG)과 선불전자지급수단의 사용 규모가 급증한 것으로 나타났다. 온라인 쇼핑 확산과 모바일 간편 결제·송금의 생활화가 지표 상승을 이끈 것으로 분석된다.&amp;#038;nbsp; &amp;#038;nbsp;

   

18일 한국은행이 발표한 ‘2026년 상반기중 전자지급서비스 이용현황’에 따르면, 전자금융업자와 금융회사가 제공하는 전자지급결제대행(PG) 및 선불전자지급수단 서비스의 일평균 이용금액은 전년 동기 대비 각각 12.6%, 21.9% 증가했다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ PG 이용금액 하루 1.7조 원 돌파… 신용카드 지급대행이 견인

전자상거래 시 구매대금 정산을 대행하는 전자지급결제대행(PG) 서비스의 일평균 이용규모는 1조 7,234억 원(3,675만 건)으로, 전년 동기 대비 금액 기준 12.6%, 건수 기준 12.1% 늘어났다.&amp;#038;nbsp;&amp;#038;nbsp;

   

PG 서비스 이용액의 74.2%를 차지하는 신용카드 지급대행 이용금액이 전년 동기 대비 12.8% 증가하며 전체 성장을 견인했다. 이어 계좌이체 지급대행(949.9억 원, +16.7%)과 기타 지급대행(1,403.3억 원, +27.7%)도 가파른 상승세를 이어갔다.&amp;#038;nbsp; &amp;#038;nbsp;

   


   ■ 선불전자지급수단 이용액 21.9% 급증… 간편송금 시장 ‘불뿜기’

사전 충전금 기반의 선불전자지급수단 서비스 이용규모는 일평균 1조 5,535억 원(3,922만 건)으로 전년 동기 대비 금액 기준 21.9%, 건수 기준 14.5% 대폭 증가했다.&amp;#038;nbsp; &amp;#038;nbsp;

   

특히 핀테크 등 전자금융업자를 통한 선불지급 이용금액이 1조 5,018억 원으로 전년 동기 대비 21.4% 급증했다. 세부적으로는 간편지급이 2,371.5억 원(+23.1%), 간편송금이 1조 1,621.3억 원(+19.9%)을 기록하며 성장을 주도했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

한편 거래 안전성을 보장하는 결제대금예치(에스크로) 서비스 이용금액은 일평균 2,071억 원(+6.2%), 아파트 관리비나 가스비 등을 전자적으로 수수하는 전자고지결제 서비스 이용금액은 일평균 976억 원(+8.9%)을 각각 기록했다.&amp;#038;nbsp; &amp;#038;nbsp;

   


   ■ 간편지급·송금의 일상화… 전자금융업자 주도권 확대

별도 조사된 간편지급 및 간편송금 서비스 역시 지속적인 성장세를 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

   

2026년 상반기 간편지급 서비스 일평균 이용금액은 1조 2,264억 원(3,822만 건)으로 전년 동기 대비 16.8% 증가했다. 간편지급 시장 내 전자금융업자의 이용금액 비중은 2025년 상반기 55.1%에서 2026년 상반기 55.4%로 소폭 확대되며 시장 주도권을 유지했다.&amp;#038;nbsp; &amp;#038;nbsp;

   

간편송금 서비스의 일평균 이용금액은 1조 1,728억 원으로 전년 동기 대비 19.8% 급증했다. 다만 이용건수는 일평균 743.3만 건으로 1.5% 소폭 감소해, 회당 송금 금액 단위가 커진 것으로 해석된다.&amp;#038;nbsp; &amp;#038;nbsp;

   

한국은행 관계자는 "비밀번호나 생체인식을 활용한 간편 인증 기반의 결제·송금 서비스가 상거래 전반에 완전히 정착하면서 전자지급서비스 이용 규모의 고성장세가 지속되고 있다"고 전했다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;&amp;#038;nbsp;https://blog.naver.com/datapress21/224418346085

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260921085022_ffzeripd.jpg" alt="상반기전자지급서비스.JPG" style="width: 875px; height: 488px;" />
</p>
<br />
<ul>
   <li>한은 '2026년 상반기중 전자지급서비스 이용현황' 발표</li>
   <li>PG 일평균 1조 7,234억, 선불지급 1조 5,535억… 전년 대비 각각 12.6%, 21.9% ↑</li>
   <li>간편지급·간편송금 시장 확대 속에 전자금융업자 비중 지속 상승&nbsp;&nbsp;</li>
   </ul>
<p>&nbsp;</p>
<p>2026년 상반기 한국인의 일상적인 상거래 및 송금 환경에서 전자지급결제대행(PG)과 선불전자지급수단의 사용 규모가 급증한 것으로 나타났다. 온라인 쇼핑 확산과 모바일 간편 결제·송금의 생활화가 지표 상승을 이끈 것으로 분석된다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>18일 한국은행이 발표한 ‘2026년 상반기중 전자지급서비스 이용현황’에 따르면, 전자금융업자와 금융회사가 제공하는 전자지급결제대행(PG) 및 선불전자지급수단 서비스의 일평균 이용금액은 전년 동기 대비 각각 12.6%, 21.9% 증가했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ PG 이용금액 하루 1.7조 원 돌파… 신용카드 지급대행이 견인</b>
</p>
<p>전자상거래 시 구매대금 정산을 대행하는 전자지급결제대행(PG) 서비스의 일평균 이용규모는 1조 7,234억 원(3,675만 건)으로, 전년 동기 대비 금액 기준 12.6%, 건수 기준 12.1% 늘어났다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>PG 서비스 이용액의 74.2%를 차지하는 신용카드 지급대행 이용금액이 전년 동기 대비 12.8% 증가하며 전체 성장을 견인했다. 이어 계좌이체 지급대행(949.9억 원, +16.7%)과 기타 지급대행(1,403.3억 원, +27.7%)도 가파른 상승세를 이어갔다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 선불전자지급수단 이용액 21.9% 급증… 간편송금 시장 ‘불뿜기’</b>
</p>
<p>사전 충전금 기반의 선불전자지급수단 서비스 이용규모는 일평균 1조 5,535억 원(3,922만 건)으로 전년 동기 대비 금액 기준 21.9%, 건수 기준 14.5% 대폭 증가했다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>특히 핀테크 등 전자금융업자를 통한 선불지급 이용금액이 1조 5,018억 원으로 전년 동기 대비 21.4% 급증했다. 세부적으로는 간편지급이 2,371.5억 원(+23.1%), 간편송금이 1조 1,621.3억 원(+19.9%)을 기록하며 성장을 주도했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>한편 거래 안전성을 보장하는 결제대금예치(에스크로) 서비스 이용금액은 일평균 2,071억 원(+6.2%), 아파트 관리비나 가스비 등을 전자적으로 수수하는 전자고지결제 서비스 이용금액은 일평균 976억 원(+8.9%)을 각각 기록했다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 간편지급·송금의 일상화… 전자금융업자 주도권 확대</b>
</p>
<p>별도 조사된 간편지급 및 간편송금 서비스 역시 지속적인 성장세를 보였다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>2026년 상반기 간편지급 서비스 일평균 이용금액은 1조 2,264억 원(3,822만 건)으로 전년 동기 대비 16.8% 증가했다. 간편지급 시장 내 전자금융업자의 이용금액 비중은 2025년 상반기 55.1%에서 2026년 상반기 55.4%로 소폭 확대되며 시장 주도권을 유지했다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>간편송금 서비스의 일평균 이용금액은 1조 1,728억 원으로 전년 동기 대비 19.8% 급증했다. 다만 이용건수는 일평균 743.3만 건으로 1.5% 소폭 감소해, 회당 송금 금액 단위가 커진 것으로 해석된다.&nbsp; &nbsp;</p>
<p>
   <br />
</p>
<p>한국은행 관계자는 "비밀번호나 생체인식을 활용한 간편 인증 기반의 결제·송금 서비스가 상거래 전반에 완전히 정착하면서 전자지급서비스 이용 규모의 고성장세가 지속되고 있다"고 전했다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;&nbsp;</span><a href="https://blog.naver.com/datapress21/224418346085" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224418346085</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-21T09:03:48+09:00</atom:updated>
<atom:published>2026-09-21T08:54:05+09:00</atom:published>
</item>
<item>
<guid>2608</guid>
<title><![CDATA[8월 생산자물가 0.2%↑… 수입 물가 안정에 국내공급물가는 1.3% 하락]]></title>
<link>https://datapress.kr/news/view.php?no=2608</link>
<mobile>https://datapress.kr/m/view.php?no=2608</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2608" rel="related"/>
<description><![CDATA[
   

한국은행이 18일 발표한 &amp;#039;2026년 8월 생산자물가지수(잠정)&amp;#039;에 따르면, 8월 생산자물가지수는 129.64(2020년=100)로 전월 대비 0.2% 상승했다. 전년 동월 대비로는 7.9% 오른 수치다.&amp;#038;nbsp; &amp;#038;nbsp;

이번 지수 상승의 주된 원인은 폭염과 계절적 요인으로 인한 농림수산품 가격 상승과 산업용 도시가스 요금 인상이다. 그러나 수입 물가가 안정세를 보이면서 국내 공급 단계에서의 물가 압력은 오히려 크게 완화된 것으로 나타났다.&amp;#038;nbsp; &amp;#038;nbsp;

■ 2026년 8월 물가지수 주요 지표 (전월 대비)
- 생산자물가지수 : 0.2% 상승 (농림수산품 3.8%↑, 서비스 보합)
- 국내공급물가지수 : 1.3% 하락 (원재료 -4.6%, 중간재 -1.0%, 최종재 -0.9%)
- 총산출물가지수 : 1.2% 하락 (공산품 -2.0%, 수출 -4.6%)

■ 농산물·에너지 가격 뜀박질… &amp;#039;밥상·제조원가&amp;#039; 압박
품목별로 살펴보면 농림수산품이 전월 대비 3.8% 급등했다. 특히 시금치가 무려 51.9% 폭등했고, 농산물 전체로는 4.9%, 축산물은 2.8%(돼지고기 5.4%↑) 올랐다. 반면 배추는 30.2% 하락해 품목별 혼조세를 보였다.&amp;#038;nbsp; &amp;#038;nbsp;

공산품은 석탄 및 석유제품(0.4%)이 올랐으나 전기장비(-0.7%) 등이 내리며 전월과 같은 수준(보합)을 유지했다. 그러나 전력·가스·수도 및 폐기물 부문은 산업용 도시가스(11.0%) 급등의 영향으로 전월 대비 0.9% 상승했다.&amp;#038;nbsp; &amp;#038;nbsp;

서비스 물가는 휴가철 영향으로 호텔(6.5%), 음식점 및 숙박(0.6%)이 올랐으나, 주식 시장 거래 위축 등으로 금융 및 보험서비스(-1.5%, 위탁매매수수료 -3.8%)가 내리며 전월 대비 보합을 기록했다.&amp;#038;nbsp; &amp;#038;nbsp;

■ 수입물가 하락에 &amp;#039;국내공급물가지수&amp;#039; 1.3% 감소… 시차 두고 소비자물가 안정 기여할 듯
출하 가격 기반의 생산자물가와 달리, 수입품을 포함해 국내에 공급되는 상품·서비스의 가격 변동을 나타내는 국내공급물가지수는 전월 대비 1.3% 하락(전년 동월 대비 8.6% 상승)했다.&amp;#038;nbsp; &amp;#038;nbsp;

이 같은 하락세는 수입 원자재 및 중간재 가격 안정 덕분이다.&amp;#038;nbsp;&amp;#038;nbsp;
△ 원재료: 국내출하(2.8%)는 올랐으나 수입(-6.4%)이 급감하며 전체적으로 4.6% 하락했다.&amp;#038;nbsp; &amp;#038;nbsp;
△ 중간재: 수입(-5.9%) 감소에 힘입어 전월 대비 1.0% 내렸다.&amp;#038;nbsp; &amp;#038;nbsp;
△ 최종재: 수입(-5.8%) 하락 영향으로 0.9% 내렸다.&amp;#038;nbsp; &amp;#038;nbsp;

전문가들은 국내공급물가지수의 하락이 시차를 두고 향후 소비자물가지수(CPI)의 상승 압력을 낮추는 긍정적인 요인으로 작용할 것으로 분석한다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 수출품 가격 하락으로 총산출물가지수도 1.2%↓
국내출하와 수출을 포함한 총산출물가지수 역시 전월 대비 1.2% 하락했다. 농림수산품(3.5%)은 올랐으나, 환율 및 국제 시장 여건 변화로 공산품 수출(-4.6%)이 급락하면서 공산품 전체 총산출물가지수가 2.0% 떨어진 것이 결정적이었다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224415750603

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260918095343_qfggydcm.jpg" alt="8월생산자물가동향.JPG" style="width: 875px; height: 490px;" />
</p>
<p>한국은행이 18일 발표한 '2026년 8월 생산자물가지수(잠정)'에 따르면, 8월 생산자물가지수는 129.64(2020년=100)로 전월 대비 0.2% 상승했다. 전년 동월 대비로는 7.9% 오른 수치다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>이번 지수 상승의 주된 원인은 폭염과 계절적 요인으로 인한 농림수산품 가격 상승과 산업용 도시가스 요금 인상이다. 그러나 수입 물가가 안정세를 보이면서 국내 공급 단계에서의 물가 압력은 오히려 크게 완화된 것으로 나타났다.&nbsp; &nbsp;</p>
<p><br /></p>
<p><b>■ 2026년 8월 물가지수 주요 지표 (전월 대비)</b></p>
<p>- 생산자물가지수 : 0.2% 상승 (농림수산품 3.8%↑, 서비스 보합)</p>
<p>- 국내공급물가지수 : 1.3% 하락 (원재료 -4.6%, 중간재 -1.0%, 최종재 -0.9%)</p>
<p>- 총산출물가지수 : 1.2% 하락 (공산품 -2.0%, 수출 -4.6%)</p>
<p><br /></p>
<p><b>■ 농산물·에너지 가격 뜀박질… '밥상·제조원가' 압박</b></p>
<p>품목별로 살펴보면 농림수산품이 전월 대비 3.8% 급등했다. 특히 시금치가 무려 51.9% 폭등했고, 농산물 전체로는 4.9%, 축산물은 2.8%(돼지고기 5.4%↑) 올랐다. 반면 배추는 30.2% 하락해 품목별 혼조세를 보였다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>공산품은 석탄 및 석유제품(0.4%)이 올랐으나 전기장비(-0.7%) 등이 내리며 전월과 같은 수준(보합)을 유지했다. 그러나 전력·가스·수도 및 폐기물 부문은 산업용 도시가스(11.0%) 급등의 영향으로 전월 대비 0.9% 상승했다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>서비스 물가는 휴가철 영향으로 호텔(6.5%), 음식점 및 숙박(0.6%)이 올랐으나, 주식 시장 거래 위축 등으로 금융 및 보험서비스(-1.5%, 위탁매매수수료 -3.8%)가 내리며 전월 대비 보합을 기록했다.&nbsp; &nbsp;</p>
<p><br /></p>
<p><b>■ 수입물가 하락에 '국내공급물가지수' 1.3% 감소… 시차 두고 소비자물가 안정 기여할 듯</b></p>
<p>출하 가격 기반의 생산자물가와 달리, 수입품을 포함해 국내에 공급되는 상품·서비스의 가격 변동을 나타내는 국내공급물가지수는 전월 대비 1.3% 하락(전년 동월 대비 8.6% 상승)했다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>이 같은 하락세는 수입 원자재 및 중간재 가격 안정 덕분이다.&nbsp;&nbsp;</p>
<p>△ 원재료: 국내출하(2.8%)는 올랐으나 수입(-6.4%)이 급감하며 전체적으로 4.6% 하락했다.&nbsp; &nbsp;</p>
<p>△ 중간재: 수입(-5.9%) 감소에 힘입어 전월 대비 1.0% 내렸다.&nbsp; &nbsp;</p>
<p>△ 최종재: 수입(-5.8%) 하락 영향으로 0.9% 내렸다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>전문가들은 국내공급물가지수의 하락이 시차를 두고 향후 소비자물가지수(CPI)의 상승 압력을 낮추는 긍정적인 요인으로 작용할 것으로 분석한다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 수출품 가격 하락으로 총산출물가지수도 1.2%↓</b></p>
<p>국내출하와 수출을 포함한 총산출물가지수 역시 전월 대비 1.2% 하락했다. 농림수산품(3.5%)은 올랐으나, 환율 및 국제 시장 여건 변화로 공산품 수출(-4.6%)이 급락하면서 공산품 전체 총산출물가지수가 2.0% 떨어진 것이 결정적이었다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224415750603" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224415750603</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-18T10:05:30+09:00</atom:updated>
<atom:published>2026-09-18T09:58:08+09:00</atom:published>
</item>
<item>
<guid>2607</guid>
<title><![CDATA["데이터 칸막이 허문다"…‘국가데이터기본법’ 제정 본격화, 공공·민간 결합 거버넌스 출범]]></title>
<link>https://datapress.kr/news/view.php?no=2607</link>
<mobile>https://datapress.kr/m/view.php?no=2607</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2607" rel="related"/>
<description><![CDATA[
- 국회 재정경제기획위원회, 제정안 공청회 개최…여야 진술인 의견 수렴&amp;#038;nbsp; &amp;#038;nbsp;
- &amp;#039;국가데이터위원회&amp;#039; 신설 및 &amp;#039;한국데이터원&amp;#039; 설립 추진…컨트롤타워 구축&amp;#038;nbsp;&amp;#038;nbsp;
- 과세·민감정보 활용 특례 도입…데이터 기반 선제적 행정 혁신 기대&amp;#038;nbsp; &amp;#038;nbsp;

공공과 민간에 파편화되어 존재하던 데이터를 하나로 묶어 국가적 차원에서 전략적으로 활용할 수 있는 법적 기반이 마련된다. 데이터 사일로(Silo, 부서 간 정보 쪼개기) 현상을 극복하고 데이터 기반의 선제적 국가 행정체계를 구축하기 위한 ‘국가데이터기본법’ 제정이 본격적인 궤도에 올랐다.&amp;#038;nbsp; &amp;#038;nbsp;

국회 재정경제기획위원회는 17일 조승래 의원이 대표 발의한 「국가데이터기본법」 제정안에 대한 공청회를 개최하고 전문가 의견을 수렴했다. 이번 공청회는 여야 추천 진술인 4인의 발언과 위원들의 질의응답을 통해 국가데이터 활용과 보호의 균형점을 모색하는 자리로 마련됐다.&amp;#038;nbsp;&amp;#038;nbsp;

■ &amp;#039;국가데이터&amp;#039; 개념 신설…국가데이터위원회 컨트롤타워 구축
이번 제정안의 핵심은 국가 차원에서 관리·연계·활용 필요성이 인정되는 데이터(인구·산업·고용·재난·보건 등)를 &amp;#039;국가데이터&amp;#039;로 지정하고, 이를 총괄 조정할 &amp;#039;국가데이터위원회&amp;#039;를 국가데이터처장 소속으로 신설하는 것이다.&amp;#038;nbsp; &amp;#038;nbsp;

그동안 공공데이터와 민간데이터가 각기 다른 법체계와 규제 속에서 관리되어 상호 결합 및 고도화 활용에 한계가 있다는 지적이 지속되어 왔다. 제정안은 이를 해결하기 위해 국가 차원의 통합 전략을 수립(3년 단위 기본계획 및 연차별 시행계획)하고, 일관된 분류체계와 품질관리 표준화를 의무화하도록 했다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 이용센터·특례 규정 통한 결합 활성화 및 &amp;#039;한국데이터원&amp;#039; 설립
데이터의 안전한 결합과 활용을 촉진하기 위한 제도적 장치도 대거 포함됐다. 전문인력과 안전 시설을 갖춘 &amp;#039;국가데이터 이용센터&amp;#039;를 지정·운영하며, 국가기관 등이 정책 수립 목적으로 연계·결합할 경우 민감정보 및 고유식별정보 처리 특례가 부여된다. 특히 국세통계센터 내 과세정보 등 그동안 접근이 엄격히 제한되었던 데이터와의 결합·활용 특례가 마련된다.&amp;#038;nbsp; &amp;#038;nbsp;

또한, 국가데이터의 전담 관리·연계 기구로서 통계정보원과 통계진흥원을 통합한 특수법인 &amp;#039;한국데이터원&amp;#039;을 설립하여 관리체계의 법적 공신력을 확보할 계획이다.&amp;#038;nbsp; &amp;#038;nbsp;

조승래 재정경제기획위원장은 “공공과 민간 데이터를 유기적으로 연계해 국가적 현안을 선제적으로 진단하는 데이터 행정체계 고도화가 시급하다”며 법안 통과를 당부했다.&amp;#038;nbsp; &amp;#038;nbsp;

안형준 국가데이터처장은 “공청회에서 제시된 전문가 의견을 충실히 검토해 제정안에 반영하고 의원실과 협력해 연내 제정이 완료될 수 있도록 최선을 다하겠다”고 밝혔다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224415719210

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260918092637_dxayoaor.jpg" alt="국가데이터기본법.JPG" style="width: 875px; height: 483px;" /></p>
<p>- 국회 재정경제기획위원회, 제정안 공청회 개최…여야 진술인 의견 수렴&nbsp; &nbsp;</p>
<p>- '국가데이터위원회' 신설 및 '한국데이터원' 설립 추진…컨트롤타워 구축&nbsp;&nbsp;</p>
<p>- 과세·민감정보 활용 특례 도입…데이터 기반 선제적 행정 혁신 기대&nbsp; &nbsp;</p>
<p><br /></p>
<p>공공과 민간에 파편화되어 존재하던 데이터를 하나로 묶어 국가적 차원에서 전략적으로 활용할 수 있는 법적 기반이 마련된다. 데이터 사일로(Silo, 부서 간 정보 쪼개기) 현상을 극복하고 데이터 기반의 선제적 국가 행정체계를 구축하기 위한 ‘국가데이터기본법’ 제정이 본격적인 궤도에 올랐다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>국회 재정경제기획위원회는 17일 조승래 의원이 대표 발의한 「국가데이터기본법」 제정안에 대한 공청회를 개최하고 전문가 의견을 수렴했다. 이번 공청회는 여야 추천 진술인 4인의 발언과 위원들의 질의응답을 통해 국가데이터 활용과 보호의 균형점을 모색하는 자리로 마련됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ '국가데이터' 개념 신설…국가데이터위원회 컨트롤타워 구축</b></p>
<p>이번 제정안의 핵심은 국가 차원에서 관리·연계·활용 필요성이 인정되는 데이터(인구·산업·고용·재난·보건 등)를 '국가데이터'로 지정하고, 이를 총괄 조정할 '국가데이터위원회'를 국가데이터처장 소속으로 신설하는 것이다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>그동안 공공데이터와 민간데이터가 각기 다른 법체계와 규제 속에서 관리되어 상호 결합 및 고도화 활용에 한계가 있다는 지적이 지속되어 왔다. 제정안은 이를 해결하기 위해 국가 차원의 통합 전략을 수립(3년 단위 기본계획 및 연차별 시행계획)하고, 일관된 분류체계와 품질관리 표준화를 의무화하도록 했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 이용센터·특례 규정 통한 결합 활성화 및 '한국데이터원' 설립</b></p>
<p>데이터의 안전한 결합과 활용을 촉진하기 위한 제도적 장치도 대거 포함됐다. 전문인력과 안전 시설을 갖춘 '국가데이터 이용센터'를 지정·운영하며, 국가기관 등이 정책 수립 목적으로 연계·결합할 경우 민감정보 및 고유식별정보 처리 특례가 부여된다. 특히 국세통계센터 내 과세정보 등 그동안 접근이 엄격히 제한되었던 데이터와의 결합·활용 특례가 마련된다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>또한, 국가데이터의 전담 관리·연계 기구로서 통계정보원과 통계진흥원을 통합한 특수법인 '한국데이터원'을 설립하여 관리체계의 법적 공신력을 확보할 계획이다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>조승래 재정경제기획위원장은 “공공과 민간 데이터를 유기적으로 연계해 국가적 현안을 선제적으로 진단하는 데이터 행정체계 고도화가 시급하다”며 법안 통과를 당부했다.&nbsp; &nbsp;</p>
<p><br /></p>
<p>안형준 국가데이터처장은 “공청회에서 제시된 전문가 의견을 충실히 검토해 제정안에 반영하고 의원실과 협력해 연내 제정이 완료될 수 있도록 최선을 다하겠다”고 밝혔다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224415719210" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224415719210</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-18T09:36:56+09:00</atom:updated>
<atom:published>2026-09-18T09:26:47+09:00</atom:published>
</item>
<item>
<guid>2606</guid>
<title><![CDATA[7월 광의통화(M2) 0.3% 증가 그쳐… 수시입출식 27조 '폭락' 속 자금 경색 심화]]></title>
<link>https://datapress.kr/news/view.php?no=2606</link>
<mobile>https://datapress.kr/m/view.php?no=2606</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2606" rel="related"/>
<description><![CDATA[
   

&amp;#038;nbsp;
&amp;#038;nbsp;한국은행이 15일 발표한 &amp;#039;2026년 7월 통화 및 유동성&amp;#039; 지표에 따르면, 시중 유동성 자금이 장기 예·적금에 묶이면서 단기 자금 흐름이 급속도로 얼어붙는 &amp;#039;자금 경색 및 왜곡 현상&amp;#039;이 심화되고 있는 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;7월 광의통화(M2, 계절조정 평잔)는 4,225조 6천억 원으로 전월 대비 0.3%(12조 7천억 원) 증가해 9개월 연속 증가세를 유지했으나, 증가 폭은 전월(+0.7%)의 절반 이하로 급감했다. 반면 즉각적인 현금화와 투자가 가능한 현금성 자금인 협의통화(M1)는 전월 대비 2.2% 감소로 급반전하며 실물 유동성 위축 신호를 뚜렷하게 나타냈다.
&amp;#038;nbsp;

   &amp;#038;nbsp;■ 상품별 자기 이동: 수시입출식 27조 이탈, 정기예·적금으로 쏠림

&amp;#038;nbsp;자금 성격별로는 단기 대기성 자금이 대거 이탈해 장기 안전자산으로 쏠리는 현상이 극명하게 갈렸다.
&amp;#038;nbsp;
&amp;#038;nbsp; - 수시입출식 저축성예금(-27.0조 원)은 전월(+0.4조 원) 대비 27조 원 급감하며 역대급 감소 폭을 기록했다. 비금융기업의 부가가치세 납부 등 일시적 자금 유출이 주원인으로 분석된다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp; - 2년 미만 정기예적금(+27.3조 원)은 전월(+7.1조 원) 대비 폭발적인 증가세를 보였다. 기업의 여유 자금과 파생상품 시장 자금이 안전한 고금리 예·적금으로 대거 유입되었다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp; - 2년 미만 금전신탁(+11.4조 원)은 반도체 등 대기업의 실탄 예치자금이 늘어나며 전월(+6.3조 원)에 이어 오름세를 이어갔다.

   &amp;#038;nbsp;


   &amp;#038;nbsp;■ 경제주체별 양극화: 기업 자금 유입 vs 가계 유동성 고갈

&amp;#038;nbsp;주체별 통화량 흐름에서는 기업과 가계 간의 &amp;#039;자금 양극화&amp;#039;가 더욱 심화되고 있음이 드러났다. 비금융기업 (+20.6조 원)은 부가가치세 납부 악재에도 불구하고 수출 호조를 이어간 반도체 대기업 등의 여유 자금이 정기예금으로 들어오며 상승세를 이끌었다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;가계 및 비영리단체 (-11.6조 원)는 6월(-19.8조 원)에 이어 두 달 연속 10조 원 이상의 자금이 이탈했다. 고금리 대출 원리금 상환 부담과 고물가 장기화로 가계의 유동성 여력이 빠르게 고갈되고 있음을 보여준다.&amp;#038;nbsp;
&amp;#038;nbsp;

   [데이터프레스의 눈] 실물경제 돈맥경화와 내수 악화 신호

&amp;#038;nbsp;이번 7월 통화 지표는 시중 유동성이 &amp;#039;동결&amp;#039;되고 있는 위험 신호를 품고 있다. 단기 유동성 지표인 M1(-2.2%)과 금융기관 유동성(Lf, -0.4%), 광의유동성(L, -0.5%)이 일제히 감소세로 전환된 것은 시장 내 거래 자금이 고갈되고 있음을 의미한다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;기업이 벌어들인 자금이 공격적인 설비투자나 가계 임금·소비로 재분배되지 못하고 정기예금에 동결되는 가운데, 가계는 유동성 부족으로 지갑을 닫고 있다. 이 같은 자금의 &amp;#039;기형적 정체&amp;#039;가 장기화될 경우 하반기 내수 경기 회복은 더욱 지연될 것이란 지적이 나온다.
&amp;#038;nbsp;
&amp;#038;nbsp;공식블로그 :&amp;#038;nbsp;"내 통장만 텅 비는 게 아니었다?" 7.. : 네이버블로그&amp;#038;nbsp;
]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260915201019_qqyozhwb.png" alt="통화유동성.png" style="width: 688px; height: 975px;" />
</p>
<p style="text-align: center;">&nbsp;</p>
<p style="text-align: left;">&nbsp;한국은행이 15일 발표한 '2026년 7월 통화 및 유동성' 지표에 따르면, 시중 유동성 자금이 장기 예·적금에 묶이면서 단기 자금 흐름이 급속도로 얼어붙는 '자금 경색 및 왜곡 현상'이 심화되고 있는 것으로 나타났다.&nbsp;&nbsp;</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">&nbsp;7월 광의통화(M2, 계절조정 평잔)는 4,225조 6천억 원으로 전월 대비 0.3%(12조 7천억 원) 증가해 9개월 연속 증가세를 유지했으나, 증가 폭은 전월(+0.7%)의 절반 이하로 급감했다. 반면 즉각적인 현금화와 투자가 가능한 현금성 자금인 협의통화(M1)는 전월 대비 2.2% 감소로 급반전하며 실물 유동성 위축 신호를 뚜렷하게 나타냈다.</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">
   <b>&nbsp;■ 상품별 자기 이동: 수시입출식 27조 이탈, 정기예·적금으로 쏠림</b>
</p>
<p style="text-align: left;">&nbsp;자금 성격별로는 단기 대기성 자금이 대거 이탈해 장기 안전자산으로 쏠리는 현상이 극명하게 갈렸다.</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">&nbsp; - 수시입출식 저축성예금(-27.0조 원)은 전월(+0.4조 원) 대비 27조 원 급감하며 역대급 감소 폭을 기록했다. 비금융기업의 부가가치세 납부 등 일시적 자금 유출이 주원인으로 분석된다.&nbsp;&nbsp;</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">&nbsp; - 2년 미만 정기예적금(+27.3조 원)은 전월(+7.1조 원) 대비 폭발적인 증가세를 보였다. 기업의 여유 자금과 파생상품 시장 자금이 안전한 고금리 예·적금으로 대거 유입되었다.&nbsp;</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">&nbsp; - 2년 미만 금전신탁(+11.4조 원)은 반도체 등 대기업의 실탄 예치자금이 늘어나며 전월(+6.3조 원)에 이어 오름세를 이어갔다.</p>
<p style="text-align: left;">
   <b>&nbsp;</b>
</p>
<p style="text-align: left;">
   <b>&nbsp;■ 경제주체별 양극화: 기업 자금 유입 vs 가계 유동성 고갈</b>
</p>
<p style="text-align: left;">&nbsp;주체별 통화량 흐름에서는 기업과 가계 간의 '자금 양극화'가 더욱 심화되고 있음이 드러났다. 비금융기업 (+20.6조 원)은 부가가치세 납부 악재에도 불구하고 수출 호조를 이어간 반도체 대기업 등의 여유 자금이 정기예금으로 들어오며 상승세를 이끌었다.&nbsp;&nbsp;</p>
<p style="text-align: left;">&nbsp;가계 및 비영리단체 (-11.6조 원)는 6월(-19.8조 원)에 이어 두 달 연속 10조 원 이상의 자금이 이탈했다. 고금리 대출 원리금 상환 부담과 고물가 장기화로 가계의 유동성 여력이 빠르게 고갈되고 있음을 보여준다.&nbsp;</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">
   <b>[데이터프레스의 눈] 실물경제 돈맥경화와 내수 악화 신호</b>
</p>
<p style="text-align: left;">&nbsp;이번 7월 통화 지표는 시중 유동성이 '동결'되고 있는 위험 신호를 품고 있다. 단기 유동성 지표인 M1(-2.2%)과 금융기관 유동성(Lf, -0.4%), 광의유동성(L, -0.5%)이 일제히 감소세로 전환된 것은 시장 내 거래 자금이 고갈되고 있음을 의미한다.&nbsp;&nbsp;</p>
<p style="text-align: left;">&nbsp;기업이 벌어들인 자금이 공격적인 설비투자나 가계 임금·소비로 재분배되지 못하고 정기예금에 동결되는 가운데, 가계는 유동성 부족으로 지갑을 닫고 있다. 이 같은 자금의 '기형적 정체'가 장기화될 경우 하반기 내수 경기 회복은 더욱 지연될 것이란 지적이 나온다.</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">&nbsp;공식블로그 :<span style="color: #7f00ff;">&nbsp;</span><a href="https://blog.naver.com/datapress21/224412870470" target="_blank"><span style="color: #7f00ff;">"내 통장만 텅 비는 게 아니었다?" 7.. : 네이버블로그</span></a><span style="color: #7f00ff;">&nbsp;</span></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>datapress21@gmail.com 김선희</author>
<atom:updated>2026-09-15T20:24:13+09:00</atom:updated>
<atom:published>2026-09-15T20:19:14+09:00</atom:published>
</item>
<item>
<guid>2605</guid>
<title><![CDATA[환율 하락이 만든 착시… ‘수출물가 내리고 교역조건은 역대급 개선’ 8월 무역지표 해부]]></title>
<link>https://datapress.kr/news/view.php?no=2605</link>
<mobile>https://datapress.kr/m/view.php?no=2605</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2605" rel="related"/>
<description><![CDATA[

2026년 8월 국내 수출입물가가 원/달러 환율 하락의 여파로 전월 대비 일제히 내림세를 보였다. 그러나 계약통화 기준 가격 상승과 반도체 등 IT 품목의 호조에 힘입어 교역조건 지표는 가파른 상승세를 이어가며 한국 무역의 체질적 개선 흐름을 입증했다.&amp;#038;nbsp;&amp;#038;nbsp;

15일 한국은행이 발표한 ‘2026년 8월 수출입물가지수 및 무역지수(잠정)’에 따르면 8월 원화 기준 수출물가지수는 183.23(2020=100)으로 전월 대비 3.7% 하락했다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 환율 하락이 이끈 착시… 실질 계약가격은 오름세
원화 기준 수출물가 하락의 결정적 요인은 환율이다. 8월 원/달러 평균 환율은 1,406.30원으로 전월(1,497.43원) 대비 6.1% 급락했다. 환율 변동 효과를 제거한 계약통화 기준 수출물가는 오히려 전월 대비 2.2% 상승했으며, 전년 동월 대비로는 41.0%나 솟구쳤다.&amp;#038;nbsp;&amp;#038;nbsp;

품목별로는 화학제품(-5.3%)과 컴퓨터·전자 및 광학기기(-3.1%), 1차금속제품(-4.9%) 등 공산품 위주로 원화 환산 가격이 떨어졌다. 반면 주요 수출 효자 품목인 DRAM(전년동월대비 +253.4%)과 플래시메모리(+250.6%)의 작년 대비 폭등세는 지속되며 전반적인 수출 실적을 견인했다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 국제유가 상승 뚫은 환율… 수입물가도 2.4% 하락
8월 수입물가지수는 156.31로 전월 대비 2.4% 하락했다. 두바이유가가 배럴당 88.75달러로 전월(76.75달러) 대비 15.6% 오르며 광산품 등 원재료 가격(+1.5%)을 끌어올렸지만, 환율 하락폭이 이를 상쇄하면서 화학제품(-6.1%), 1차금속제품(-4.2%) 등 중간재(-4.0%)와 자본재(-4.2%), 소비재(-4.4%) 가격을 모두 끌어내렸다.&amp;#038;nbsp;

■ 물량 폭발·교역조건 ‘대폭 개선’… 소득교역조건 60% 급증
원화 표시 물가 지표의 하락에도 불구하고 실질적인 무역 성적표인 무역지수와 교역조건은 대폭 개선됐다.&amp;#038;nbsp;&amp;#038;nbsp;

8월 수출물량지수(달러 기준)는 컴퓨터·전자 및 광학기기(+30.5%)와 기계 및 장비(+12.6%) 수출 호조로 전년 동월 대비 25.9% 상승했다. 수출금액지수는 무려 75.8% 급증했다.&amp;#038;nbsp;&amp;#038;nbsp;

상품 1단위를 수출해 수입할 수 있는 상품의 양을 뜻하는 순상품교역조건지수는 수출가격 상승률(39.6%)이 수입가격 상승률(9.9%)을 크게 상회함에 따라 전년 동월 대비 27.1% 상승했다.

이에 따라 수출 총액으로 수입할 수 있는 전체 상품 양을 나타내는 소득교역조건지수는 순상품교역조건(27.1%)과 수출물량(25.9%)의 동반 상승에 힘입어 전년 동월 대비 60.0% 상승이라는 괄목할 만한 성과를 기록했다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224412107182

]]></description>
<content:encoded><![CDATA[<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260915085709_ziwkkvdr.jpg" alt="8월 수출입물가.JPG" style="width: 875px; height: 485px;" /></p>
<p>2026년 8월 국내 수출입물가가 원/달러 환율 하락의 여파로 전월 대비 일제히 내림세를 보였다. 그러나 계약통화 기준 가격 상승과 반도체 등 IT 품목의 호조에 힘입어 교역조건 지표는 가파른 상승세를 이어가며 한국 무역의 체질적 개선 흐름을 입증했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>15일 한국은행이 발표한 ‘2026년 8월 수출입물가지수 및 무역지수(잠정)’에 따르면 8월 원화 기준 수출물가지수는 183.23(2020=100)으로 전월 대비 3.7% 하락했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 환율 하락이 이끈 착시… 실질 계약가격은 오름세</b></p>
<p>원화 기준 수출물가 하락의 결정적 요인은 환율이다. 8월 원/달러 평균 환율은 1,406.30원으로 전월(1,497.43원) 대비 6.1% 급락했다. 환율 변동 효과를 제거한 계약통화 기준 수출물가는 오히려 전월 대비 2.2% 상승했으며, 전년 동월 대비로는 41.0%나 솟구쳤다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>품목별로는 화학제품(-5.3%)과 컴퓨터·전자 및 광학기기(-3.1%), 1차금속제품(-4.9%) 등 공산품 위주로 원화 환산 가격이 떨어졌다. 반면 주요 수출 효자 품목인 DRAM(전년동월대비 +253.4%)과 플래시메모리(+250.6%)의 작년 대비 폭등세는 지속되며 전반적인 수출 실적을 견인했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 국제유가 상승 뚫은 환율… 수입물가도 2.4% 하락</b></p>
<p>8월 수입물가지수는 156.31로 전월 대비 2.4% 하락했다. 두바이유가가 배럴당 88.75달러로 전월(76.75달러) 대비 15.6% 오르며 광산품 등 원재료 가격(+1.5%)을 끌어올렸지만, 환율 하락폭이 이를 상쇄하면서 화학제품(-6.1%), 1차금속제품(-4.2%) 등 중간재(-4.0%)와 자본재(-4.2%), 소비재(-4.4%) 가격을 모두 끌어내렸다.&nbsp;</p>
<p><br /></p>
<p><b>■ 물량 폭발·교역조건 ‘대폭 개선’… 소득교역조건 60% 급증</b></p>
<p>원화 표시 물가 지표의 하락에도 불구하고 실질적인 무역 성적표인 무역지수와 교역조건은 대폭 개선됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>8월 수출물량지수(달러 기준)는 컴퓨터·전자 및 광학기기(+30.5%)와 기계 및 장비(+12.6%) 수출 호조로 전년 동월 대비 25.9% 상승했다. 수출금액지수는 무려 75.8% 급증했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>상품 1단위를 수출해 수입할 수 있는 상품의 양을 뜻하는 순상품교역조건지수는 수출가격 상승률(39.6%)이 수입가격 상승률(9.9%)을 크게 상회함에 따라 전년 동월 대비 27.1% 상승했다.</p>
<p><br /></p>
<p>이에 따라 수출 총액으로 수입할 수 있는 전체 상품 양을 나타내는 소득교역조건지수는 순상품교역조건(27.1%)과 수출물량(25.9%)의 동반 상승에 힘입어 전년 동월 대비 60.0% 상승이라는 괄목할 만한 성과를 기록했다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224412107182" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224412107182</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-15T09:04:10+09:00</atom:updated>
<atom:published>2026-09-15T09:00:03+09:00</atom:published>
</item>
<item>
<guid>2604</guid>
<title><![CDATA[씨브이네트, 폐쇄망 기반의 온디바이스 AI 월패드 특허 및 ‘투비앙’ 브랜드 출원]]></title>
<link>https://datapress.kr/news/view.php?no=2604</link>
<mobile>https://datapress.kr/m/view.php?no=2604</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2604" rel="related"/>
<description><![CDATA[씨브이네트, 차세대 AI 스마트홈 브랜드 ‘투비앙(TOUBIEN)’ 론칭과 함께 로컬 폐쇄망 기반의 온디바이스 AI 월패드 특허 출원
&amp;#038;nbsp;
2026년 9월 9일 -- 스마트홈 솔루션 전문 기업 씨브이네트가 최첨단 온디바이스(On-device) AI 기술과 양자보안 기술을 결합한 차세대 스마트홈 브랜드 ‘투비앙(TOUBIEN)’을 론칭하고, 이를 구현할 핵심 기술에 대한 특허 출원을 완료했다고 밝혔다.

씨브이네트가 이번에 새롭게 출원한 특허는 ‘로컬 보안 폐쇄망에서 신경망 처리 유닛(NPU) 기반의 온디바이스 경량 언어 모델(sLLM)을 이용하여 이종 도메인 간 정보를 종합 판단하여 수행케 하는 스마트홈 게이트웨이 시스템 및 그 방법’이다. 기존 스마트홈 시스템이 클라우드 서버에 의존해 통신 장애 시 서비스가 중단되거나 세대 내 민감한 사생활 정보가 외부로 유출될 우려가 있었던 반면, 씨브이네트의 신기술은 월패드 내부에 탑재된 NPU와 sLLM을 활용해 세대 내부망(로컬 보안 폐쇄망)에서 모든 연산과 판단을 자체적으로 처리하는 것이 가장 큰 특징이다.

해당 기술은 세대 내에 설치되는 성격이 다른 복수의 기기(이종 도메인)로부터 수집된 데이터를 도메인에 독립적인 ‘공통 이벤트 표현’으로 변환한다. 이를 바탕으로 가스 누출이나 화재, 외부 침입 등 즉각적인 대응이 필요한 상황에서는 지연 없는 룰(Rule) 기반 제어를 수행하고, 거주자의 복합적인 의도 파악이 필요한 멀티턴 대화 등에서는 온디바이스 언어 모델이 상황을 맥락적으로 이해해 맞춤형 생활 환경을 조성함으로써 미래의 주거 환경 실현에 한 발짝 다가선다.

특히 씨브이네트는 이번 특허 출원과 함께 AI 스마트홈 브랜드 ‘투비앙’을 새롭게 선보이고 차세대 제품군에 전면 적용할 계획이다. ‘투비앙’은 ‘TO+U(You)’+‘BIEN(최고의, 좋은)’의 합성어로, ‘오직 당신을 위한 최상의 맞춤 환경을 제공한다’는 의미를 갖고 있어 씨브이네트가 추구하는 가치를 나타내는 네이밍이다. 최근 등록을 마친 ‘양자 VPN 스마트홈 특허’ 기술까지 융합돼 외부 해킹이나 망 단절의 위협으로부터 완전히 독립된 안전한 주거 환경을 제공함과 동시에 AI 주차장, 커뮤니티, 웰니스, 시니어케어, 헬스케어, 뷰티케어, HEMS 등의 솔루션들을 융합해 거주자의 일상을 섬세하게 돌보는 능동형 AI 라이프스타일을 지향한다.

씨브이네트는 이번 특허 출원은 망 단절 환경에서도 동작 안정성을 확보하고, 세대 내 영상 및 생체 정보의 외부 유출을 원천 차단하는 혁신적 설계라며, 신규 브랜드 ‘투비앙’을 통해 사용자에게 한 차원 높은 보안성과 차별화된 AI 스마트홈 경험을 선사하며 시장을 선도해 나갈 것이라고 강조했다.

[씨브이네트 소개]
씨브이네트(CVnet)는 첨단 ICT 기술을 기반으로 차별화된 주거통합플랫폼을 구축·운영함으로써 사용자가 원하는 쉽고 편리한 Smart Life Service를 제공하고 있다. CVnet는 지난 26년여간 삼성물산, 대림, 코오롱, 제일 등 국내 메이저 건설사의 홈네트워크를 구축하고 있으며 고객 Needs 맞춤화, 최고 수준의 보안, 플랫폼 구축 및 운영 경험을 바탕으로 신축 아파트뿐만 아니라 구축 아파트, 프리미엄 단독주택, 소규모 연립주택, 타운하우스, 복합리조트, 오피스 빌딩, 시니어 주거시설, 병원 헬스케어 등 타깃 시장을 확대하며 사업을 넓히고 있다.

웹사이트: http://www.cvnet.co.kr
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224405676881

]]></description>
<content:encoded><![CDATA[<p><b>씨브이네트, 차세대 AI 스마트홈 브랜드 ‘투비앙(TOUBIEN)’ 론칭과 함께 로컬 폐쇄망 기반의 온디바이스 AI 월패드 특허 출원</b></p>
<p style="text-align: left;">&nbsp;</p>
<p>2026년 9월 9일 -- 스마트홈 솔루션 전문 기업 씨브이네트가 최첨단 온디바이스(On-device) AI 기술과 양자보안 기술을 결합한 차세대 스마트홈 브랜드 ‘투비앙(TOUBIEN)’을 론칭하고, 이를 구현할 핵심 기술에 대한 특허 출원을 완료했다고 밝혔다.</p>
<p><br /></p>
<p>씨브이네트가 이번에 새롭게 출원한 특허는 ‘로컬 보안 폐쇄망에서 신경망 처리 유닛(NPU) 기반의 온디바이스 경량 언어 모델(sLLM)을 이용하여 이종 도메인 간 정보를 종합 판단하여 수행케 하는 스마트홈 게이트웨이 시스템 및 그 방법’이다. 기존 스마트홈 시스템이 클라우드 서버에 의존해 통신 장애 시 서비스가 중단되거나 세대 내 민감한 사생활 정보가 외부로 유출될 우려가 있었던 반면, 씨브이네트의 신기술은 월패드 내부에 탑재된 NPU와 sLLM을 활용해 세대 내부망(로컬 보안 폐쇄망)에서 모든 연산과 판단을 자체적으로 처리하는 것이 가장 큰 특징이다.</p>
<p><br /></p>
<p>해당 기술은 세대 내에 설치되는 성격이 다른 복수의 기기(이종 도메인)로부터 수집된 데이터를 도메인에 독립적인 ‘공통 이벤트 표현’으로 변환한다. 이를 바탕으로 가스 누출이나 화재, 외부 침입 등 즉각적인 대응이 필요한 상황에서는 지연 없는 룰(Rule) 기반 제어를 수행하고, 거주자의 복합적인 의도 파악이 필요한 멀티턴 대화 등에서는 온디바이스 언어 모델이 상황을 맥락적으로 이해해 맞춤형 생활 환경을 조성함으로써 미래의 주거 환경 실현에 한 발짝 다가선다.</p>
<p><br /></p>
<p>특히 씨브이네트는 이번 특허 출원과 함께 AI 스마트홈 브랜드 ‘투비앙’을 새롭게 선보이고 차세대 제품군에 전면 적용할 계획이다. ‘투비앙’은 ‘TO+U(You)’+‘BIEN(최고의, 좋은)’의 합성어로, ‘오직 당신을 위한 최상의 맞춤 환경을 제공한다’는 의미를 갖고 있어 씨브이네트가 추구하는 가치를 나타내는 네이밍이다. 최근 등록을 마친 ‘양자 VPN 스마트홈 특허’ 기술까지 융합돼 외부 해킹이나 망 단절의 위협으로부터 완전히 독립된 안전한 주거 환경을 제공함과 동시에 AI 주차장, 커뮤니티, 웰니스, 시니어케어, 헬스케어, 뷰티케어, HEMS 등의 솔루션들을 융합해 거주자의 일상을 섬세하게 돌보는 능동형 AI 라이프스타일을 지향한다.</p>
<p><br /></p>
<p>씨브이네트는 이번 특허 출원은 망 단절 환경에서도 동작 안정성을 확보하고, 세대 내 영상 및 생체 정보의 외부 유출을 원천 차단하는 혁신적 설계라며, 신규 브랜드 ‘투비앙’을 통해 사용자에게 한 차원 높은 보안성과 차별화된 AI 스마트홈 경험을 선사하며 시장을 선도해 나갈 것이라고 강조했다.</p>
<p><br /></p>
<p><b>[씨브이네트 소개]</b></p>
<p>씨브이네트(CVnet)는 첨단 ICT 기술을 기반으로 차별화된 주거통합플랫폼을 구축·운영함으로써 사용자가 원하는 쉽고 편리한 Smart Life Service를 제공하고 있다. CVnet는 지난 26년여간 삼성물산, 대림, 코오롱, 제일 등 국내 메이저 건설사의 홈네트워크를 구축하고 있으며 고객 Needs 맞춤화, 최고 수준의 보안, 플랫폼 구축 및 운영 경험을 바탕으로 신축 아파트뿐만 아니라 구축 아파트, 프리미엄 단독주택, 소규모 연립주택, 타운하우스, 복합리조트, 오피스 빌딩, 시니어 주거시설, 병원 헬스케어 등 타깃 시장을 확대하며 사업을 넓히고 있다.</p>
<p><br /></p>
<p>웹사이트: <a href="http://www.cvnet.co.kr" target="_blank">http://www.cvnet.co.kr</a></p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224405676881" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224405676881</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-09T10:06:06+09:00</atom:updated>
<atom:published>2026-09-09T09:59:08+09:00</atom:published>
</item>
<item>
<guid>2603</guid>
<title><![CDATA[8월 고용률 70.4% '역대 최고'… 양적 성장에 감춰진 '청년·제조업'의 경고음]]></title>
<link>https://datapress.kr/news/view.php?no=2603</link>
<mobile>https://datapress.kr/m/view.php?no=2603</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2603" rel="related"/>
<description><![CDATA[
- OECD 기준 고용률(70.4%) 역대 최고 및 상용직 중심 취업자 18만 4,000명 증가

- 세대 간 극명한 온도 차: 60대 이상(+19.1만)이 고용 증가 주도, 청년층(15~29세)은 고용률 하락(-1.0%p) 및 실업률 상승(+0.5%p).

- 산업 구조 개편 심화: 보건·복지 서비스업 급증 반면, 제조업·숙박음식업·건설업 등 내수·제조 기반 산업 지속 침체.


대한민국 고용 시장이 표면적으로는 견조한 흐름을 이어가고 있지만, 내부를 들여다보면 세대별·산업별 양극화가 가빠르고 깊어지고 있다.

국가데이터처가 9일 발표한 &amp;#039;2026년 8월 고용동향&amp;#039;에 따르면, 15~64세 고용률(OECD 비교 기준)은 70.4%로 전년 동월 대비 0.5%p 상승하며 견조한 흐름을 보였다. 전체 취업자 수도 2,915만 1,000명으로 1년 전보다 18만 4,000명 늘어났다. 실업률 역시 2.0%로 안정적인 지표를 유지했다.

그러나 지표의 세부 항목을 분석해 보면 한국 노동시장의 고질적 구조 변화와 위기 신호가 함께 포착된다.


■ &amp;#039;실버 주도형&amp;#039; 고용 증가… 청년층은 &amp;#039;고용 한파&amp;#039;
고용 증가세를 견인한 것은 단연 고령층이다. 60세 이상 취업자는 전년 동월 대비 19만 1,000명 증가했으며, 30대(+9.1만 명)와 50대(+6.2만 명)에서도 늘었다.

반면 청년층(15~29세) 고용 지표에는 비상등이 켜졌다. 청년층 취업자는 전년 대비 14만 3,000명 줄어들었고, 고용률은 44.1%로 1.0%p 하락했다. 청년 실업률 또한 5.4%로 전년 대비 0.5%p 상승해 다른 연령대와 대조적인 모습을 보였다. 이는 신규 채용 시장의 경색과 기업들의 경력직 선호 현상이 맞물린 결과로 풀이된다.

■ 돌봄·여가 서비스 &amp;#039;착시&amp;#039;… 제조업·자영업·건설은 &amp;#039;삭풍&amp;#039;
산업별로는 고령화 사회 진입에 따른 보건업 및 사회복지서비스업(+18만 6,000명, +5.6%)과 여가·문화 소비 확대에 따른 예술·스포츠·여가 관련 서비스업(+7만 3,000명, +13.3%)이 취업자 증가를 이끌었다.

반면, 한국 경제의 허리 역할을 하는 제조업 취업자는 3만 8,000명(-0.9%) 감소하며 하락세를 이어갔다. 내수 경기 침체의 직탄을 맞은 숙박 및 음식점업(-6만 1,000명, -2.6%)과 부동산 경기 악화 영향을 받은 건설업(-3만 2,000명, -1.7%), 농림어업(-10만 9,000명) 등도 큰 폭의 감소를 기록했다.

■ 일자리의 &amp;#039;질적 양극화&amp;#039;와 근무시간 급증
종사상 지위별로는 상용근로자가 18만 명(1.1%) 증가하고 자영업자(고용원 있는 자영업자 +4.7만, 없는 자영업자 +6.2만)가 늘어난 반면, 임시근로자(-5만 명)와 일용근로자(-1만 7,000명) 등 약한 고리의 일자리는 감소했다.

특히 주목할 점은 주당 평균 취업시간이 37.4시간으로 전년 대비 2.5시간 크게 늘어났다는 점이다. 제조업(40.7시간, +3.9시간)과 건설업(38.1시간, +3.4시간)의 근무시간이 폭증했는데, 이는 기업들이 신규 인력을 채용하기보다 기존 인력의 야간·연장 근무를 늘리는 방식으로 대응하고 있음을 시사한다.

[데이터프레스의 눈]
8월 고용 지표는 &amp;#039;양적 방어, 질적 격차&amp;#039;로 요약된다. OECD 기준 고용률 70% 돌파라는 성과 뒤에는 ▲청년층의 진입 장벽 강화 ▲제조·건설업 등 전통 산업의 일자리 축소 ▲돌봄 중심의 공공·서비스직 쏠림 현상이라는 구조적 과제가 선명히 드러난다. 향후 고용 정책은 단순한 &amp;#039;숫자 늘리기&amp;#039;를 넘어 청년층을 위한 고부가가치 신산업 일자리 창출과 제조업 경쟁력 회복에 집중되어야 할 시점이다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224405635012

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260909092126_damdeosb.jpg" alt="8월고용동향3.JPG" style="width: 875px; height: 488px;" /></p>
<p><b>- OECD 기준 고용률(70.4%) 역대 최고</b> 및 상용직 중심 취업자 18만 4,000명 증가
</p>
<p><b>- 세대 간 극명한 온도 차</b>: 60대 이상(+19.1만)이 고용 증가 주도, 청년층(15~29세)은 고용률 하락(-1.0%p) 및 실업률 상승(+0.5%p).
</p>
<p><b>- 산업 구조 개편 심화</b>: 보건·복지 서비스업 급증 반면, 제조업·숙박음식업·건설업 등 내수·제조 기반 산업 지속 침체.
</p>
<p><br /></p>
<p>대한민국 고용 시장이 표면적으로는 견조한 흐름을 이어가고 있지만, 내부를 들여다보면 세대별·산업별 양극화가 가빠르고 깊어지고 있다.</p>
<p><br /></p>
<p>국가데이터처가 9일 발표한 '2026년 8월 고용동향'에 따르면, 15~64세 고용률(OECD 비교 기준)은 70.4%로 전년 동월 대비 0.5%p 상승하며 견조한 흐름을 보였다. 전체 취업자 수도 2,915만 1,000명으로 1년 전보다 18만 4,000명 늘어났다. 실업률 역시 2.0%로 안정적인 지표를 유지했다.</p>
<p><br /></p>
<p>그러나 지표의 세부 항목을 분석해 보면 한국 노동시장의 고질적 구조 변화와 위기 신호가 함께 포착된다.</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260909092224_ycdsdxpa.jpg" alt="8월고용동향2.JPG" style="width: 656px; height: 943px;" /></p>
<p><b>■ '실버 주도형' 고용 증가… 청년층은 '고용 한파'</b></p>
<p>고용 증가세를 견인한 것은 단연 고령층이다. 60세 이상 취업자는 전년 동월 대비 19만 1,000명 증가했으며, 30대(+9.1만 명)와 50대(+6.2만 명)에서도 늘었다.</p>
<p><br /></p>
<p>반면 청년층(15~29세) 고용 지표에는 비상등이 켜졌다. 청년층 취업자는 전년 대비 14만 3,000명 줄어들었고, 고용률은 44.1%로 1.0%p 하락했다. 청년 실업률 또한 5.4%로 전년 대비 0.5%p 상승해 다른 연령대와 대조적인 모습을 보였다. 이는 신규 채용 시장의 경색과 기업들의 경력직 선호 현상이 맞물린 결과로 풀이된다.</p>
<p><br /></p>
<p><b>■ 돌봄·여가 서비스 '착시'… 제조업·자영업·건설은 '삭풍'</b></p>
<p>산업별로는 고령화 사회 진입에 따른 보건업 및 사회복지서비스업(+18만 6,000명, +5.6%)과 여가·문화 소비 확대에 따른 예술·스포츠·여가 관련 서비스업(+7만 3,000명, +13.3%)이 취업자 증가를 이끌었다.</p>
<p><br /></p>
<p>반면, 한국 경제의 허리 역할을 하는 제조업 취업자는 3만 8,000명(-0.9%) 감소하며 하락세를 이어갔다. 내수 경기 침체의 직탄을 맞은 숙박 및 음식점업(-6만 1,000명, -2.6%)과 부동산 경기 악화 영향을 받은 건설업(-3만 2,000명, -1.7%), 농림어업(-10만 9,000명) 등도 큰 폭의 감소를 기록했다.</p>
<p><br /></p>
<p><b>■ 일자리의 '질적 양극화'와 근무시간 급증</b></p>
<p>종사상 지위별로는 상용근로자가 18만 명(1.1%) 증가하고 자영업자(고용원 있는 자영업자 +4.7만, 없는 자영업자 +6.2만)가 늘어난 반면, 임시근로자(-5만 명)와 일용근로자(-1만 7,000명) 등 약한 고리의 일자리는 감소했다.</p>
<p><br /></p>
<p>특히 주목할 점은 주당 평균 취업시간이 37.4시간으로 전년 대비 2.5시간 크게 늘어났다는 점이다. 제조업(40.7시간, +3.9시간)과 건설업(38.1시간, +3.4시간)의 근무시간이 폭증했는데, 이는 기업들이 신규 인력을 채용하기보다 기존 인력의 야간·연장 근무를 늘리는 방식으로 대응하고 있음을 시사한다.</p>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>8월 고용 지표는 '양적 방어, 질적 격차'로 요약된다. OECD 기준 고용률 70% 돌파라는 성과 뒤에는<b> ▲청년층의 진입 장벽 강화 ▲제조·건설업 등 전통 산업의 일자리 축소 ▲돌봄 중심의 공공·서비스직 쏠림 현상</b>이라는 구조적 과제가 선명히 드러난다. 향후 고용 정책은 단순한 '숫자 늘리기'를 넘어 청년층을 위한 고부가가치 신산업 일자리 창출과 제조업 경쟁력 회복에 집중되어야 할 시점이다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224405635012" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224405635012</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-09T09:24:38+09:00</atom:updated>
<atom:published>2026-09-09T09:23:10+09:00</atom:published>
</item>
<item>
<guid>2602</guid>
<title><![CDATA[2026년 2분기 GDP 0.6%·실질 GNI 3.1% 성장… '교역조건 개선'이 이끈 착시 없는 실속]]></title>
<link>https://datapress.kr/news/view.php?no=2602</link>
<mobile>https://datapress.kr/m/view.php?no=2602</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2602" rel="related"/>
<description><![CDATA[
한국은행이 8일 발표한 &amp;#039;2026년 2/4분기 국민소득(잠정)&amp;#039; 통계에 따르면, 올해 2분기 실질 국내총생산(GDP)은 전기 대비 0.6% 성장했다. 지난 속보치와 동일한 수치이지만, 지출 항목별 세부 수치가 상향·하향 조정되며 내실 측면에서 흥미로운 데이터 흐름을 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ GDP 성장 이끈 반도체·IT, 주춤한 건설업

생산 측면에서는 제조업과 서비스업이 성장을 견인했다. 제조업은 컴퓨터, 전자 및 광학기기(반도체 등)를 중심으로 전기 대비 1.4% 증가하며 강세를 이어갔다. 특히 ICT 제조업은 전기 대비 15.4%라는 가파른 상승세를 기록했다. 서비스업 역시 도소매·숙박음식업(0.5%), 금융·보험업(2.1%), 정보통신업(2.7%) 등이 오르며 1.0% 성장했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

반면 건설업은 토목건설(-9.4%)의 부진 여파로 전기 대비 1.9% 감소(전년 동기 대비 -3.8%)하며 한파를 벗어나지 못했다. 속보치 대비 건설투자(+0.1%p)와 지식재산생산물투자(+0.1%p)는 소폭 상향 수정되었으나, 정부소비(-0.1%p)는 하향 조정됐다.&amp;#038;nbsp;

   


   ■ &amp;#039;실질 GNI 3.1%↑&amp;#039;… 벌어들인 소득이 GDP 성장을 뛰어넘다

이번 2분기 데이터에서 가장 눈에 띄는 대목은 실질 국민총소득(GNI)의 성장률(전기 대비 3.1%, 전년 동기 대비 15.6%)이다. GDP 성장률(0.6%)을 크게 상회하는 수치다.&amp;#038;nbsp;&amp;#038;nbsp;

   

실질 국외순수취요소소득(11.6조 원 → 7.9조 원)은 줄어들었으나, 교역조건이 대폭 개선되면서 실질무역이익이 1분기 38.7조 원에서 2분기 58.5조 원으로 대폭 늘어난 결과다. 우리 수출 품목의 가격 경쟁력과 수입 단가 안정화 등이 맞물리며 실제 국민과 기업이 체감하는 실질 구매력이 경제성장률 이상으로 늘어났음을 의미한다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 총저축률 45.6% 치솟고 국내투자율은 24.2% 하락

지출 및 분배 지표에서는 총저축률의 급상승이 도드라진다. 2분기 총저축률은 45.6%로 전분기(41.7%) 대비 3.9%p 상승했다. 국민총처분가능소득 증가율(8.9%)이 최종소비지출 증가율(1.6%)을 대폭 상향했기 때문이다. 가계순저축률 역시 9.7%로 전기 대비 0.9%p 올랐다.&amp;#038;nbsp;&amp;#038;nbsp;

   

반면 국내총투자율은 24.2%로 전기 대비 1.1%p 하락했다. 이는 국내에서의 자본 형성보다는 외화 자산 및 국외 투자(국외투자율 16.3% → 21.4%)로 자금이 흘러 들어갔음을 시사한다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   [데이터프레스의 눈]

실질 GDP 성장률: 전기 대비 +0.6% (전년 동기 대비 +3.7%)&amp;#038;nbsp;&amp;#038;nbsp;
실질 GNI 성장률: 전기 대비 +3.1% (전년 동기 대비 +15.6%)&amp;#038;nbsp;
GDP 디플레이터: 전년 동기 대비 +21.9%&amp;#038;nbsp;&amp;#038;nbsp;
총저축률: 45.6% (+3.9%p) / 국내총투자율: 24.2% (-1.1%p)&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224404811645

]]></description>
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02IIwAjluRYIHTFKNMIUIwhU9mauBPtlWDHlU4Kt7FEeRUuTKJsQASV0iiMFEPmR5NqwliRsbatpAHa2OmZGmPsRVr4KkZ0IhbKIUQWdlNxZi60StUqUsCWLEgQYjFUwuhU21wChm9MBTe0JczIzC4caIx0hESZEtHYC4Fcya0ccbEgQUVI74BKnC6lUYANBH5AGZms8kRZ7EkZJPW45uoVLJ/U4YlYWhQF4WRZSwzS4BJqYMVBZd0yQpjBWuRkUQvVhCxZYseqmwhsSrEa46qOwqdUK5kmCXMunFgmtBUZMxhKTy8KaJOpppBwU0RNKwSzPjs1IeMGz2oBqtQPGlqKLhiTWfD3L2nAB/sqgrEbNxYKBcgZDj1ey1gxqWYSSilnJ4ty24dALFmKIgCzgFExWkDaruUITsQyeQYIiEppZijWslKjLWxqJJwuUKP98ZgWLBYcmMuWaSryWci8qMXWSFTU9wVvidqyIhZLN+BeEQFKCOtzMNzoAQxwa0orXt3MCRFFIcp9d5BqFkjNwvE2H3aRG5dKv7ZkCQAAEABJREFUWQ9RLJxtocdTmMkycRDMrG6FBE9cE/zFicrz2GVRDy5GOnbDTtVMKu54ustUnESQVYPFmBo0Y4hhae1tbKjQKFGiihRvSQRRXjqxo0Zs8hgL8AvqQqcLjQNGItZAyWWLzu0jHqdMNUKm2mauyLBNS6OLjRlBFp8vAVNIyeRLboFXx4JXJVvBjxDiMXgwxSqyZZhjiyt0EtthyWbLNTHBFwBlgMEhShGNxMIBAgsRbBOqih8hFybhEfEEJmPKMHJN1sqSHhVTsS6kQB3SSWDNJZmFWsGEWNiGiYXelDdVXJIoCgyQ4u4XKOzARDiflJrPylRUO4ENWrTJUEtOE0HYywjKgGThkYCxVSKyt9yCtjwoN+JUUdUgIF0AXknmZ6qUgZGjTIUTT6lnDyMpiFVaSFTEjxhrsmzsZGFRGqkMld01yGwqy7KigONgleZYvMYlWLL2hqgki/URV8Cldjkhiky6qYA4lkrxEBdZh2jtrVgsRsWIJA12pToEUkcQqWOM3plqkkgPp/I4ThhZCixmI+QVW+QVZt5ZVDXJdrIg15StQ7AjTEM0ixTCiDc0mmavhixEspMASSZpVfsFPlbyDDjEO7onzjCvM7mUqzKkWmtmI3auijgVmsKzUkorcnSKzBMWoiQGsxiSpS6LpzNFlfkmQDG4C1lpFo9ahaYt1Ten1A2zXLIZ8TILNxoZB1Nxx4UbR28pMwsXWYqwRW+RwVQKHnjbMiQhY4QfL3h7TDBoIKumjIQUuBr5gEeqxOpXm1FyR3ouV6hqRQjugRyQCAVT78Z8owlTtmVlEjguxubBOMwKjcCMhyiVeRb68S+4SjRoQw50is7dkVgCNqq0HUJ1M5hsGfyI1oqKHwk4uspAo5Sp0WmzgRjyElXZDZlSK+cQC3DBau5p4guKxEzLGR+qm6AgpaKqeVkxkji7TrpKpIEbZpkgYqzRKVqUkRPrkgNEVbauWreNkTiTR0uEKI1ezP3R4gkUu1SJdUAZLMJUU3TVQKMggIXBhaBlaxG0xHoluZIfsCYUIxgBY0kyQHOnVIWEZVAJZtFsc4AsymivbZXQB8W3oARxsJlcENewrW5MLEGJRTeNZya3oxwKbOVhkhVM+QbkLG2U+HuWqZlAusBKURnCN1QSehGWY5GlcJZgSm1tkc2JZolZb0ECljFIIlMnxcBCFhkreSUoYY6WCR6LxjEegKVohoT0NliSWdKC3TJULMPGwAUbK5RsdOypg0kcEpDsUe80s1OeEapsQ5LJmn/YB5FGohoBEuCEixpkqoDWOE2bCAwQKqYAMEwVGKFTOa/fcssAVBDhZY25HXZsGRG4lTPM6lsJEi8OtrBaigwzXgGmkmOdd5FkjFTFijg45YEuikWYSBfN3CyRd67ChNjmC71rshAlmW4GMRiS5hTxEo9HO1QlBKrKNzN8eGRuhkSEwZpWaAZXhQVvTWKkl9grdkQsUy7uMkwNFq24JGC46VQu6M1g2YJEx1uwHQ6h2JBhhzO4qF1ZJYQsllh4yRIgAlrAa3RL1TvQQ5VonEZNgqf7CluHClCWbbgYZeXTuaZ5wzU3l6i/lJG9smDvhERglQCwSdybrlCmbs2tXM4SgFUyDsvVXaZNpO3qMBvWCRch0Lj9jDMPAocEBrxVaCqygKHQEI7A2DGMOEvywGm8PeWGuGwpasmyc4lhWuaVWYNZlzyYplyEUP0ESqhiLqVhbNl8gy65ogwGCTaDUwQhrOAlgSorTTkkyR4OpU14bcmje3yAWZrS8KpDJtsxkIcuZR96NOYwC5htMbWddJI8QZa8tnNzsKh0vJG0JhkLXQhMtiOpMlfH8ojhaGYdY8kuSQnhPJNmUhqEKnWx1gqYkAREfIVXuIfM64jHmNvY6+VFTmDKMK5AapIrsSVIshtuJKP5zLUtAHC1V4QYyUUhyssaC4iJ90AxJ3SEBDPFMRreiT0UXifKCLCIUnCPkhxCSi2bPCVzo1FHovBOZQ9ma7laLWsG2cwTYSEdyijJXloiKsZiM82vg6JNxcAFLYejImEAZpcK9NICbatxChveFkGm/gRmVnSLlEoDiNXkQ8ujAKdYUhgkmZT6VSyR4DU3Z0rezIElSXH/iGgf5S3LcMxZ8aQAm6N4nzghmJRWhbcrUodTRBaJC1TsFJc+X3hz8hpZVEEsyDCTkwpE9hFvFSwcVRbDXUSAqkpJTVWjAg840RhBR8qFB2+FswfYeo5vQBoWpVYzpCpjhFhqXZQEIeHmUl+JL1SKsUXHLHE8cchIXQlcyOoIhICRHYCa35pbgLMXnaUZBSlk85RfYwBjphJuDQE4IFN1eSimcZ+J4SRTGx2nSEYgVnrCzYCLLsKzkxY2GR64IrJe7CRqD7sDLVhLeKGJWhELLkncNTPRrdlSzlbAI4seNoSICV9yRRUYPPTUWmBxFiT0QlR4hGBjsQHibRgBrtwovCBUFjeTbU3BlEg45goWV9ylKOpmgAhLrJYOEJpbQpAwmIk0tsMhkAhZkWgNCwIZD2MiAKQjKjcqs/B6vohV12wppMcwJecPDaiyzB3v4lRgLAKisl2RWmWNo9BQ6JxwRoCYiA64vajUMAQnAUoDlIkrrwrjJgUavaibifXOcdDzcGEBBGXGEIWpAaToWT0SFoGgkBIY/g5mwNMqSI5WJ0rNFIMFUmNqWPJQBrmizldNWRNYgLnLsxUFk+MS8pRBNKpiXPYakB1foDisqYQrHcycLtmpIxO22cXtmIVebhUkVC45jIpaconlAmAmTxk1l6hnnhHidlwglip+IlSopbTl3hgttx5TwklZQMDBgU2aNMVYUUzqQosbcVbjqHarLLxWqmRUrJlnrMwPJja68VUzGJOUEKXh7TiVBV7HvMzclO6EiYY/3sopyDKWFeONBwBpE8UmtKEHhSG7yvoL/ohxkLaqY8zZbQE1HuTlFD7CVDAyk4iRwNTu3ialtRehncwdJtAtwFUJqHgKKxXQ8QlTvJzSUCA2ZI7UMTUhAQethNuWtaRkdTrWChaOKGAEQC3EyUKpmhjNVjYOPTsTG1UExEWYit31FDsGdoaj6OTqS7IkSCywdKXBVbVUim2B0AIgydQTD3p2pwY1Ff7ZGwGDQgBq6fAxM6DEBcEMlwGZTOpmyLN8C7vmQYABFYnY4wrWkvnJmvFYaQhMpGVsy3EguZ1LZTZCxbKnRBNOr+ATFoxiL6haKbSiUUAVw5J26cMSPxrR3aFmMygS+8xULZXUM341uWIhN4mgTSzUgwUKFSdujO0FFRuOuQOkflx8OYycwiAnwrKFL3CyIMNE5yhWPJJoRRYs2MNMGF8MMKM3E+IxMD7xu3BPXY2PHSFAUlGDsEeJzNbGEhOUtikHd7MyuDENztDQCBARshznXCBZRtFSogoqkPjYXBiNFDw2QeM0TWhdQX9QNgJL94QIpNqaoSPKSotOeZrVjG3PIcQ9KIQp6di0ZG48dY228XtHibxdq8hUbC8vnyIILRhKXCqGrEIz82QUXszBJRqx0tA5RRDARkAB647Rsw+01DVAnl6CXWlIigxRgpRGVCKIlxzFyo9iJI2EqrlhZxdCMjtq6bIiMCamZdHwLvmEu1eDSXOLaszRQE01GKOwf0lNHrSMRa7ej8KQ4lvRMnaeieUAcn8tgrM6aJjoCDG2XTWwuNicrtTHSVChpSvplLzATBR9SlZVxqUFY3oxJAYfHeoYZgLK4B4URIS0OblQE6JQqRteoFkimVEs1hJLBQN5SexVuJgmxYWhl2oUjJ5ZUwGXWuOrRjUpARDnoICOIsy4Mrl4hhmQocTZoczhJW9LcbbAUW5s8zQhEukB1wwiJKYZxXcmNgSHwRKLE2TyIJGIGiJwhR0oMKXsIU+BYY4THHGQMIo71zoy7zjNcmJTATdXcseM1BVCgcyFv3huyctOYmjzHD6LPJgIhbeoGc8ICjJWhBQNqXtIMIFrlYxkCpKra4lFMAGiY1JTQqr8apqyW0YoYIWXnj0KtUHPJkAxaF6U0mYdiVyMhGn2FjWQtw2xuCqbGDLNQSWIkZNHbJCBOfuE2VwEpGNhsYBTAxMughBYB3IlaiYkXZCOJdzoSRl0oSsEsGELPpqAZoZK2PgsIK9yFZ70suFzGsUQqsI/D8G1xAqydeHGWRziir2RgBKI3RBhb1RlRCGFcaVHq3nTKLxAF14ta6JCdtBk4sg1eSUALx7Cl0KHQIKlSAE3HSRVRIj5mNeDZ1bzisJBUqVBW4KO8GqdvNUZYVDxREAWStQCiElhkeYReF5qKrbE6n8rREwMFytKaIipD4bBirRsxfIIQ2t/7iUhqQ0TtGXRkdMp3uixlPmJLXmKFBiPZSGMJynLiUUFIVkBM7oLJjZWYsEKDVYk0tI9HGwlr4FjEmhjDNPQIC4WHMuORuWMdOLwg44Pnd7RWBCBVfGpHLLCjqlEQsTkY/+wosx+hPR4pgxxJ8Km4ECWC4fV1aWKxYQQdHEREFjnZvdUqmX9LDcaKyqMETM1OHHY06taqcjxcRUKExakSgHRlgL4JU3HLb3IKQ8nhVC5KcJa0bE2RNWxs4S2TUIiRGRxSJDDWzk5hZUenbjjXqDpQERwzAKZQC7hSgCZSNWFUwNW+qyprGyjEkxgik2EiFwSKKQGJ1oqETg3iDtqJV6q8rKBCoLJ5ZYaC8QEtuyCp1oLeQS3AN5oLUNANA/YLHQgJN3FchSgqLscG5Yy8axAyBSkACoyAGhZOs7IWrZ89VmKTEAYmwucCKRjqYRkEHUhi+Z+pbSfnBgHK1IS4iR3CH6JxoCvKG/2gp+FdpCXzvoyctEhiq4yJKmIZQqjxM0iFJHcS6/iMVYEJtsEGR2BUWiEA6ZTLKji1RYKLRsyUkJwhm3W2twD+rE+67wtEOgUS4d59s8CdsqvOEievXBlf2DHzqIZ6VkM97eAiwq5KKEVVUsGxGVijWUmBIDQCxFyHPErLXiMOPGIkBiTFQSVRMPIc4YECWM7CUt+XAnDmpLxRMqGwxcNK09SaIMsCAuSEoK6ofXssAlW19LLpHiz8QUequhxt5gsIiDhRgELSZCzFT1Cxc/lXK2kEkGobm1C6hW6+QAgEBBt6T8msi6LdJiTgMV1wWTKDIpIFj7DsLZs9eqsOIkUjUjcWQlKPIkHLaCJhor3sIXJFq8N4gintiI9nyycCbzASnCxAaEDLrI0NmiESkj7SAYSsyAtYJkTyDxnVxk0agRAfED3aSu+rcKTTDgDcSEQW8yQphhihVYMQSgDbmLxQoasYiECpNQcpASMBVlFfFXxocmADH+ArFHLUkEqJpUIm69iuwiNApJ4CNoZTUWFuIiCEwGGYlIIZyEuJWCqpRifmggEvb04ZxPCoFbYsfPLOoDItcwUOQ5uGVOJOSYEeaBgnLu13HHBRllkpIpqZyzVBUevxEXo+loARUhuQcOMjpMxphBzu7SIsFx/I8Sed/4x28UAABAASURBVJoZCJbfMbC5QctyuN3qzY8AkF6UGIKqLMDthceY4y0z5ghktjwoH0tx0Zn6AaZQuhS9x/hqiBMWHmMb5QXbW+iozmRQELqYE1r4QfY0zBuKf69kxIvAGAwrojoiiEo8aSsYysKIFzt/Yx6l5ZJJ1ISgJCeEMb62hrJE0nagsWmzs+T8MFT8MIPqvYQZEay6+KolJosNNs54CYuIe4BEIzu9wCQFvnnCM4GIHZHIvgdRG4mt4GBi4SmJtQ2JO5ilwlzABGIwWEFw6fgvrigNaJhKCwR2DakFwyAUKD3kMoFsYHINzCU7e0upVdxroAMQ5sH9FY3ac99GGSNhmZf8FImBEELNFD5QBFWHzMyouYP45yQZVRQDprCKAQynPgXhRYkNRl7rKS4g6uQewd5RzY8rUFUESOIpEKiIhOMFSIk4URljoZgaZisA0SlSRu8kAsPiHEBk8KZhmrXQyQ2dRUYe1RiaKoFL8IBK5SHwRJgvULylVMIioVEpGl51M3EJEfaeZUfGWcyjWKYSUBlaMj7QwywJUTNi/k//G8UwY0qKQFRjCRKtimLIG9cgh5ZPB670gZfNQ6wyDBwbRnEloDxUBIPAEll9HoSmHogpFPrQIIQUrIJlUgsyAm62iQPHjQZGFDDBSk467Kys5mWRB1N6leYfSIbiLaUYshaXGMiQcQzoowef6iKHIvjURLpS6vTg8UaI0wWbCeEgDQoQbPB6kKpEK4xVxI4oDJGXniIQRoz4ELLKrDoa1+wtEwwlzlSU0OPXVIjAgkAaXI0ppSrWCwvdPC+EdyUlzYRkBb+AWV0Ha0BABdkjK1KEEfb+AxFay8yEVMuMOQkSWozhp6pMbYkjdhR1w0OecqppAzcrAAkLueK3SE7RUhbyq1hSE90hYKIpjaDEmMwqcX/YRvwcFcGAwqLoQ0NsF2ilIXIndfxmkRE53lxBQJbeVKDZVVQEfIXRzGZO/egl8edesY6SQ6tiolcLKuCFR5gLeUhdsYQxBrRUSYLC09apSEp8KYsFwBaxfBaCznIp2EislAkHAsjIggImxEqY2BbRIKoaCiXhIgTjSM2Ug0invATyrDWCXCEI0RKOSlUdCje3UpwBiBsS5vaGiYsKcZFQ8EbScrXMxad5YVZapeVeCQoykZcxVcGLjQ4CJOmRm4X3DGJS4IKcDtgsvVgSWEjwgkE2vIHVcsZUIHEWibIcEJSOG9fxbqQsM5MKPyhVAilkiDyFpa/iCMETAh4uFPaGbEOCpPIQEVLIoplN67wqtFyCJDNXcEoOVccWeRXOYizCHDN5wXA7lUYmPBjUzG3KwJ4GHLHwFm2gMFWmMPO8IQoYJBaNAgx4sIHVS8KmkQpcsSeaxIP64uHibYQBfEzGUJFhhkqEVBaeWBTRLHaHWRQABC/MhFA8Aj0+MAkBy5oLSxFUwlsYMDNRXhxczlViqlIBMkhEhbZqGL9Ih5MdmJiqCmNFijfriwI+ULyCJRdVAYqCo5bntiLHK1VCiimq4aQq3Ox91WDjWsVABHkZA+EiBL2SNN6+sNFDSGQwaBakDIhJxoVeYnvhamPwSvaQJd08K+0YfeTstXgoElQxQMK6gs5lqBMNM97SMC17CbRYX7F2fK2BlYjtGV/L7KHCAYi0vdvoaBlJziQbKGxkQJ0ZciNQxCtsNguM1EPKXdaQNEIuYRzhUYjcTxfvLEmWllfyaNlMywLFAto0BQRN4G0Qh0I1bIpFNFLhqHxRpjrTUCfKjabAa8LomQgfvRbCK7dRBuRYJao0LwvhLexRxQap4uKqmgtDT5QEGnM6WKIU8Rgchc4SgKv4jlgTOuujvGQhL5skao0ZQlxNKI4kppkHpNlwyCky+JkNQm6UhX3goCd1TxEaBKCyVmoTRsAxk1bMBIrIqa1kjg6QdIrJ8lBsiURwZsDybKxF4S8ZQyllZ3VEAswfS9gqolSEyWDI3x0x6sgMEyRBkF/RZkgskQAtzBFq3TM/VUVlaUw2A8iCLRsSsZZG0woD8aAobBKxhWAKEmxV2deS2dVh87ft9oKQAlGa8ZpBFS0Xy54UPwIBpOB+MlqCii2cjAjL8Qh1I4tz+PGo4+RBb5Q7psUMZlvgYFeKKCxDPDvIRiaVelKKqMpoW7TCl3c8E5oMgbjIBmHVDAqeC+JgqkQZZQE2u8DSVCNqDLGTu7EWURarRgKOv5RMqAYotlTKA4KhzCDIxWFGrOxR4MjEihSNkGRaDeEwHheDqssoq5I6ryujmM212MMpbjRN7n+QgAGe3hWrJosi0QpjaRJHAEsyqFhaZKn6pkI2IhfYKmtuNm6SFVZCuqMCxoCxiEWSYIuIjz5JjO4UCL1iiGbKjNwKIMBaURfUKQmBBrEoxkNDrYZEc8ui4HIBsvhpSWHsL1imHDCMXcMgTwULYcKICGxiluDW3OARKPKITeNDzrNd4kCW0OhKOfFLqnQbSpR003hwIuICbUoykYFw76CeZqdIBCRVlWyJFIxyTSRQGqHlVFelRXxl3Cjp2Xxmvt8Ak4PnqlxViWIkG52bQq8JpriVAiqWYGUkm8dJNLZtFMcjOChRu8QKfxWAqe/iNGGYxAAoVIgkApCnjUk2HnruyLx0EtGpNdawBiHaPJfL3KUJr48VClHUEiOBBAXObRHJghQLFTtsnrIACj+dhAAQ6MiTWBFiWWBJgqwamn+TnIj1BLeNnV0SLFkr16TYuB3mtKSqMk6wYveZpnkvJZs8AwTFBUIY9RTP+uzDVlNyAqGMUon6gYgsECHNIZIQJI3UyiyxLYDIGxNRANhlEBO+7oJeUEahMBKF1p7/uNV8xwfKoCrYzAewiLL4oeNgDVO4WsuNxi9W5mJpQOEudoDqKaCGBv6sBi8oWTDHNNmWzRUtITbcRaBUpmFXasAyGRsyWxCrAPYsx8ElMZiwTt27EUOuYiBaStUqO3XBZcNiea6wjEvcQTwiI1Ol0gLA0lgoo6luYCjqGfCwEbAqzWKBYleLaGdgBs7YyQkpz8Cpn/2Jp6lwUYVq4LIA0KelEVMsVB2vwgU/zsH5EFUIuQiIWE0lD1gmDEwVFxuGmHqGabHFjEi0akAxd4IG6VwGr+wDoWBaG6ZYYSALhmJ5k02BPBNT4YUD47G8SpuAC2C8hLEz4BFYAxTsJD6S2WiFK/TkNZBYFEF2PLiQGLm5jMSC0DLvkPkhY5GCiZwdVJO7KuoKsmYvgcmrZMSfImskSnNCFfdRtFIFw4hCB2zy+DhnyTZgZuWgsHuazK1hKMEDVEPWhILcbBGLTOBgLtFwMYIvzlgXSepsGt8VbeLpNeEzT6rZAdxOBCFMhgTqZBd33wguxoYMnGAoD0h4FNfgzuCGvGtAq8b1IMCDGADtRVQcpoYsRSrbMu8wCm5OTCoNfj8AXFa5xI+Nqr5ZIJKCTMccYOiEiwBqZuEGq1hAo0roy6hiWwmO5rl6A0JNGUqznLb8P/mnUGoeMqisAiRSAIOsJVMkUbbFm105AUChZt9TuUCrxKEnssoyFmCZ0ISOVxIbDV6pTUXRADLyWNQwo0CTkXNQk2WCwlboFg2dElTieWNUysKm+Qsa5hi5OELg8WaEAU9x4aHmxMJFEbIBIMy+GEUBIpCDbhrkQeDp+ydMmm0xg6NGbMW2FKL6YgF45hpU3CzMCefWKmUURcz/8IWDHoQNdzFqTEiaW+pKPqJgzM0b4EZgZZzlEaBpHTTfdgULV8W3HNhNFcyokM0OZA6HmdBLEyP1z6rCjFfiKUoJcwqcBpZKmEQmpcWmKOwtEKnlJbNoYYujqL24z4MDk2XDTFW9KyqTdLki3OjchHjVkb2oiKybgAKseEucDgbG3mRpKkfnkEmVLZmXJgItGW+7uR14qbQXjhcXmsRchLhmoWpEKKVlIbBG7MtQzB4RO+AXhYgC08NsbEGYupSCtWzDNIoR7MQyERKkMFZ/LYhw/HbFC2GCljwGDbtorI2wCEtDGPGPMTCyCeLWkMgAQTBRI4ztxIAZEUCZoX3RuagkzOwWbzp01wRdZSNIDzIjQc6fORWeUeR0AYkGYTYTk0SQYeklZDuIppIJO2hiRdRgEM3O0MsYBYO4jInuthKJLDijEjYqkKGlA8oBoMurEjijdhZm07CZWEuEzO8Q5KKqiUG0FO94a4rGJbF6YwtksiSe5tGzw02mqsoDwuIdoYbFurLZhnp2IbA/oiiYBwEUj9eQt9FEIxQrQgos8dIwWQq6wivNxuy85ag9ZggESzUEBWRpoFkusoxhFOTKlQKUMAYMPJqEVAAMAFIAeCJLkdmNWQAmynEJcHmY3UBsLAtnsYXfUE9cBl6OvwPw8i5wmjgO7Bs0JUhmUagGTe0ZMxndlMfHEDVXQVoiLzOTQos+zXAVc8E857UNYFCABxTxIk9JJ+6C06iZGKqCJYInrIKdyoVosc5EZg4GO1XMFkgoHDl5Adjko1Owo3Lh4Y9lgirnBw00isgLWmkuOF1KCAMCxXLXDVMNsWmTwSV5aoGcvNDkbYkjENyiKixLL+4miWMQac6V4Bo1TA55For9sGBFGCRS5XsUa3Ljy3EqAehtlmT4suFMyka7Nxxzg1kLKaBkBdgQJKUqi8AWkohSFUShUAxykFACo+BBQSKnO5aB4pU3CSIgsT4RVoW9AGXTijqYYcVCGV7IZSpEbhiyaCXNoWHprYV4JEyuEEvDm0ozdZkvLHjxoZUxFzAFGCXk2NLZWwpyrPAgiorANj67F0DikIMXZfDatwQJVUmDfIIAkwSSoriveIezjmwa7oLQgVAaMLbLMHO/xfYSpZodwXDqzLND1PFOJjqB6Ww01SQWUqqOTXCXB+HQigWkDO64lS0dwm/GMXuzJR1ISLEC2QZSqgkQk+ZsVMKSytFciVW3YhewlTLjRYi3aKw98QsI6RjKhdCEPafGFbuaSOXBaRJnmALINVLKLIJGmL14hMK9YfNrjnUsFABh1wlhp+Pe4zGg4qULngWyG+gy6YA1G2FmRfCn3ppkciOa2gKDuZwcCcyqmJMZN/EuWuYgmCW3nyEWo88WQYsRCMEVkEm1LJBjoLSivoQATL2oEtACVlM06iJciiEe6oFxEg0X4iCczQRkMKSoXlGRHXMOocEKNjlLBg9vxTYbhb9Y1SRCiI0ODYWBcRursifEoDIWF7Fxsyco7qsmdi148uaPAhipj8e1BjcCNBp7RwEttAHosB2Z7PSakMsFMRWwRGpWwYyFMJDmLDBJrrxzhshTbWB02ZGtKR2WGExTweyinGxhURNOQZnwmJDp/CHDykGSCLJl0XrFYCNyKdZK4ghKYwMjh4wLV4cWgXTnD2+gsOGkosRiJ8J94SMkFvxQcRYQsJYzgOmp1AyFoiyf/VJhUrdAsxCSwtSgY3PMINOBzq4WGgADMdwjGOgkiSqKBMntaSR3A0tENhF7K8x0DofLsrAhRwgl2Fg6d8sMVQPZx+SZAAAQAElEQVQYuNlaYCGmN5LTSkG4GHGNniphLnnelCHuGw4sHJMwCUbcYSiwzFRuAbCZpqURuxXrsQpEwyLiK+UXzopUQNsqDl9BhhfTnA6dgKiBResaUAghXHGxhMQ2YacgpJxlBsdsZ1C1ExkkIl0BQAFNNOLo0KKwbrwZszQAv9rnsFioF1hGDxGsqflTkmidl5kee28G+VgIXQmB6l93NBiTtApKio6FisK+5CW4WoWX3IAR5hGBs0WORIgUBVjdYkkVREQv0xiaqZYWUs/EsLkon2hG+KrcAmKDeHDcTIxZiFwkIFsmZ+M4UdBWg4SbMPSlQDi6McTvhGrZmi1p8OKsOFUgFKl6kKLDBUGgTIUWY1FmMKiJYs/zMhIVgQhWEjjIdbwVUmkihHIVt443SsAOKWYvjyXx+PFgRh6VLAgYuxfYOVVXw4AzRvZnBNFpMvDZCQ0SXSXemM2FEK2hPZAIA+GgY0CBUkwEiXRmgSIRItZCdYtGi5+4QoaHEVuVWxAOLh1rbSyKBIltXjDnrtNggDTehIBIMOet2ms0hJGJWUCtfLpZtAKOgAMBFzVMYsZAksTEa/Y62UBzRPAJnNCYBciZhQ4J+dAY6QhdRMlAys6IkUmlGJGKWwwdH898kM3wwhwvkGpZMUgKQS4k7OlSVtruglLwcvdSb6S2L49uZCfEuSnEFUIKjgM1nY+941ohmat6I2AjUcbgwjMQSgBkYTf7MGslcfLUNQhPX/MhwcUGAkMInklZdYxKA4ZODy9bjs3sT3DNlNBKpFIeQ0+U6aVHZGNRYo0EMSoTRvUBGcuqVDYhuUiJIp5HqihiMc4xcAUjYZwsWg+iADCoFX4Ya7aT5ZjAXAkDSgeKT7Egsp8DNRTOUsDCYcVQOKtZJbImFRsk4GxpMSvmlFw8ldCgJk4ZZj9GGGwICSsz0JmXH4NKW3ol3MiJnLMaC1Vp2Uq2xVCaW3gkTKymVJ6jRAYJBYu6BV+BxVNCYjmpO+vgt1ZWRj3Y6KyemMrVIfCK2wEXNrowGIZQqZBKsKB1rPjCUZjVSGBkYcRdss0VYhVgFMxGp6MTqpLMBYOKxSC2vxBECyoTmDxHcDey3SYSGLIbklToHCPSRoi5xGiYmQsYBbB2TjgjkTLu2S4mbj+Ygjg4tReAaBhjcxrqsqeaWUQKBDS1xhRDoSKzCgRG6k9eLUVSYilQVcBQM4IgSdeAaiOVmJTqgjWNWlrFyXckRgnSXOBbBmnz8IpWPH3FrOLWASAdFs1w8mluJTb5ePkIFXsFTSQ4UhiTCUwBiPTGFQCjdK/wsMcFqKNwpuMEU3iJQZHmuWYcIxWLhgE8xcwCMkYJr1lAybDSS8cantbhY92I9BrzWyOlKY8l/JgzzoRswZIhU+JChwx914kYi0QlySA+uMitsvEj5TmIpDRjwJ5JRNJjTToj5FL1KFyk4JMOgR4dz+wDXxChJ4jaQYrzS1f+x5aPoQgqEPRYwGkOiWF2pBYr4Rnwch+Fq4QHmDgcmOKQK4aMjpCN4zlqI77KURsI7WTAMbrQChXe5E9gLl4vJUBKydnwOM0vD9CXeG8ui4BBKoARCo8S0UG2IxdeYw1BAfhlSdDiqIZ1XdSAF1sojanDWsClagsTgUSlkpLkoLVsKJphrpaV1vVEyEUMrpQzgiw5bld8Uk6HYIw/trItFq4BivtgKjFYujVA0plMWcPIhM6dHQzOhOHDYzV3wQY5b26xWHYShWjDiwGcBFJCKXXDg7dFa9hLqacM+HtSp7JqRsyT+4Dk8YdQOHMPFJkyK4ZEEeMSjaUwCrnAlOYXgMChomlmLdHIWzgInD8+SBLyJR/41hiqRkoqFTkTWBiPf5uEsTfDso13jhdmGRIskZMlBPEi48KBMMMgRsYSFQUkwIzJ6NE82FkB40xbbRSjxSZpbsWUi4nQlgoqpwmszB6SqzKB4CyiiWYuZZgYQXXHZyHJ8QY/zYIhFVY+pLN6pCBqLjXcpCaH1J741M0YcSml9Ky0Y37PpnnhI55c8VZc7Ds7X+RWA8Gl/mVJgVIhCAsICPBKIlu0sswEZPkd11jQHBohL71MRRTBxkgCMMcEtK6keXroYEqtWStuEQStzOkgwReCGKmOCYMKLgZGo6a3BaoAkJlgYC+DitKxs3+ZwtSZDg4Az2PSYKTixMU1WwIgxdQ7MVOovSCVixpAkiEddJPkuYheCKDMRSwbAxXoJiMPIj1B2LkZE8w2aLqQl/WTQml9chCm5BX+X8KQeuHwxCGFFIRoOHia2d7IcFXshULHB5mxmHlpRMJFj9f9iOABYE+MoqX44zCENruoEImwEgjuUM+ttyF1tADFRFIihS4hW5Pd0bE65uZAM5e6IUkexCIVomg2igjoablpImbWkZAZSy7eu0jicasY0TMJBzoit0kwqRJbmEVD5m4GxFW9LNB4IxMELBI2kI0nPHuF1ZqUhgVe/MU0wcOk9hmG3hhgFZjiasE8cFQ0y553V8AJEaCeVFpainTVVWFJx19tYwATGkqNhwsnNqmPqAt2pc1ml9IxQEAFrFkw4yx2EJeouLCAoBdXjEVUBcSdK4FR8WMsTGDmjlMKbFaREcJV/HGah0R8bBh/1ks8ROZK3uBqMAq7E4IyEgKJAUXE1ZKigEXBO2uzTOHY2cCMbYrQIGCR54qrgnGG2FErztb/tYC9snY4qj0UKHCTxCgxmBXxJ1ocqauKXamE4KJidWNFJYyAlIYCY/YLiZBE4hu2cWNrb0R0esFEHo5NSLBDDh6hsUEXMBYDZ4T4seLFAGy0AQ9EUvNIMs4YiDXQ7kbBBpQORY/qhj/zyJDsDcvSqqtqZF652BVLiVZqOzbiXFjo5O2RoS2sD5GORueAYIEZCyVgUarCJtiWXsSBFo9oJFDW09QWPwlTzMCQcUDAtxQYBVImih2rCJEpDjQwFARWMMvAYlkqiYQ1JAHhrMigEek2YLqOWaIv5QRQQ09kbhpwKUBpMIEsni9qwcB3CcZld2COwsYEyQWZ0SitZjJjBOJgBZd7cEuzz0o7BuvS2VsRMPsRUtpSUQDIZVpk0pShw5GOmInLXMd6hWSpVM/HvQh9O5bmniBsEMefl4BlegycpbyNhD84pljni5rUZeChyxRXWh6NYVxuS/YFCSyjbRlzvxpFm6KqkKrZCz0X7yTZhiUuLg+bXUYq4jW/37HIMcXLjBxvfsUNNg+1beEFxr102Tj4OFQ5+BQnYWvOonrlTSm3rmULD7zGTRVtpFq0sOAAzjdOQ2bYj4eWRquQDRsRgWACWgAvNpjgeCFEE1rXWR7qBpo5FShiEZWODRIk/q4aJIACAASbYbGWAy/xWZ4dIDhdzm22cSQvgZSKJ/80X8wsIYl6ihP24fy3p0UEXaLWAM0MyqBdDNRQ6iccREdShYrFNGvQUJgQFQoy5+vYGWCHsKpbUWQBo87ohmZCyAymcA9xiJiFawbLNLyiVapgJydHgYnJlpkkV1BFxbNDEi/k9sHMDAAEgijBlfJBehkumZZRkumGEcoBGG3ecEVhfcQhAkPuEyMEVSJKjAqOQeVq1SilAZlYoEqiTqk31fBgKdab3dAsW2yiUGCmg8koZqVlSZV4BDqHTcqNHmJdiJAgdAg11KAOYOpmYSJbKxKVFINg40iQFp6S5i7aXBUwKq0UAFncHcTtAAKcXMieFVJELw5y0pbQiIoXWbkIGQpba0X2/FchWBuUKOS5m0zcgGptOWQqZY2SBvkcFFyoYsoSmUmhTmLRGIhhnDt7YM4IteGjs8SiQcaTHw5sUhNjphOQu1I9CHqxwJ7UBWfgAklF+NtqQdhWKAHjZaTyALjcrz2glNZ91hssyYaA1StBE7WiRi4GthRiIy3RlWVjjdp5oJ1Asr2DUgtVohzRvFwuYokkUOOXCF8ixE1hIYV7FDc3rH0BAoVYYkhEglHYbosTntWFjIto8S9OAASYYoCRuSvBYiC5mETxVbbBVQkrFwI9tQKWsSw7TGRxrI0ndaEsDa78qVjO6ObOIwAQiMDFzoTGWkeCclVzx69UIYpJTcdqJXxGVRFSAs2+WPygoBJQGJEsGt9fS5qZJBwpuLIcCW3EKRpzjywp3qhUVc3BZuLLhqHm3ElD8CQYpkxRJVZJ+i61ujxWTU+kwMcR0pZBwybNmUQDWcIGS6GmVwowz0dgZW5By7wNQJBCAswJKVrLZMmNxptdscwmo1TJHOksTtKAB0KMKDhURuCvgIzp4axjAsUHmEuzkWWMeDtqaW8UC8Be7UxhrfeAZi685mbOPCS2GADUkqpXEW8SVQYATGwaQNewzDUj2h5Ry1ZZQaB4liYmcwkYZ49QXGVDJjEpDY17OtmOlmsahTznjyAxTgwxORRixMZUxOJBoQNkCQ0gI/s0a3jo4RzyoJhCBgWJcjEUqrqxgNxjAcmNwgaEPVIQqREHYnhgIgedGORYi+3FZRJzCWbNjQLo0bGDbCvMsSRGLAImaEQDWhwS0nppZ+8kCpujbYNsG/7KFS5sgKKJxo5VW4YoCREbHWBIrAjRI4ADQI+haslMfolYeh9ylRVkxszg52cTAV1MRZNGw1gPFsAzDzIstikQl/q4tFaMUk1EidrgKQsSdhMdNQ5ILCpxeAyTcERmEsaIhTBBj0qIhViSiAqhGFArKnPildYlI1i98CFqiK3Ms6xIOFGUCg1nItFrLht0/Ck2PoxGd+SeGSJbGee8s6xlQ4MtXldGFZWI9caPqUYErtmr43p8ZHcHtUBlGIFqWUaLDJwmsS5WIwPir0QCUVKMXBg7EKPw48BCHWLCQIcfK70rA4yXDmNGdN54qRkJPnBsHHoN04gnTFmmxJerpAAy3PzFvRatCsT8iYFgeI0Fx7JjIB0K9xjSCSmdxTiEKnEcedGQGYPDjSgZmjkQFTM4SW08lo3UoSilFLhtEZGEpujicg1xXyioxjEvcCB08pIdTlKhFih0JKJgUlqRsY7FZrMMarh/L9PcqghJXlT3QhBK5BUOYinKvAU4iFRU7YlDBfegKgjoi8oXnermIqyGRmovQiInRS1UALGIhqcaAyxWnq+YiiICNjDWUWOMUrKTUeQsYSAvW9MISEWNeGNxodAHl0AxQaIRRh4tD4yBlMiDUzBLgUjCm+SDhUJnsQC+HacoJQMkTAVFiQOgAgfXiLP6f5sENx0EPgSWgEw8MqB04yFGNfITCxkLWaPaDoCwQX5UemorXIjUnIz5z69jAYMd4NxbzoAaN9xFMGQYemlV7BxKeFQ0QWEZGMmLAOqcJxt7e7H2DgceOfCel8vGXllC/g/qNB+MLgJGYFDEGwUg5SjrRMUxb/MgU3IWS6NWqPCCRWVLG1YUjLCQ+mZVMpNqeP5PkLlrCoPKNpiukO89zEuqEthy0iMAgZGRPXAHQi5aZHaohge/M4KhDDBjYCnxmKm0SP3Yq8jFClzuSPQqOOPCowsNagAAEABJREFUkDQ46MRgtswo6i/iRGmRmaV4NFBxjKYQUAjgg22wKaYAbDHgQ8KoxGERKjA6HPNjNAY8MeBm6UiulOHsqXgKOiSWZEnYGCMo00BGJlSDNxXrT01EzImyDKDojACxMhKOI7JrXmAJLlBiaaJcjjXvTkcc2V6XoZYIm/jCquIVYxkjXbPL6kZcwDZ6TQwWJyCmdg+ZTj45A2VVjZkBmuJ+QY4+uKfYY2PJRWyZ0uGLUzBXGn7HSY6eqMmqwUWEZUbspfwwzGqbI1oUo6o5ukQKseEIeEWgzDnKSxC98HKJpSQKB8buxeslPXmXNSe2SiSgSrKYirqqAhA72yS5lMa6qgb3gojBDjhG8hSAwpyPw1ELYAMLzhjVdFRCr9CnICKYmsYFDfqAqKXETXjZP8RpBZ9Z7CBWg58S3tkZPPY8lewFGnsUWA2EJK8qjgFD49EKAajUyxjUxOFmT4BUjY7tzZBKRmdV6MjGW0Woi4KLytLrmCAqxDnwgic7m9A+j8H7cSGGUspigxPZVwmCgjmli1iW7RIskBhDPlKpAo2Cmi9xDk8EjHiph2qrQVhLGsh94zQnKPzyijgA+IRX8RRbRDkWJBjoFFuAi5uLVoShNpRBNQqVrlwMGIARD95FvdRMbYusiGAWRAawGSWqqhq864gZCINZvI1NGsGGWixtoBeyKvHCgoQOjwcDUIwFDKmBCSg+v1BskB2nFDfkahNQYgc1iKuIGAzZCIKgIkRIDj7HSarcC6EXTZ0X20jeY4p1rAVchhkqQkkNGU5swtoMUseKaHSrEVAwmztuvEtjUTKVD7Gt3JEBKbKImGMJRym2jl5lYGTUZtUI+6hikxlgLYL6dsSxwJaEIWNzqa87p4KEHLXhQSARlMzWDKxFSyhFKibUgVzYcokIVELghJ2RjgAYf2QVGM2biQMrtU8JhF4WY00WRobQm0aQJmzphWAiQRA1yqyuWDS62R0+v0ElE3Z8+GHp+uSCOfUJ/MAJFcbUkIs4dgxoqGYYW4QH+qECXKL4AudWFXjA8ZKlodUYD25BtSEhyVsg57ogoILKWufXkT1mQYUvYVanMAzkxbjsZMHjsjHMHhRllapFUmOHYJhTQMLgubDUci3LouU2w4+PsjRYBKJmM2NHG1fL2NNhpweKW3axjUV2ykHGhjDjTBObViU2Q5VDROgvCUexRQyBQ0gBw4mOnupbc74aC3PNPIyQ0POCZRcMu4rwyQ4KDx2wE0TW4rLwIli0FDBFIjU2LN3Zy2qhB0BAWBc2UsRmtVBlCTcpWa3KlAkNOwEUCx8eSsNWWOiETcBilIPDAInZWbpKEMZJ0ShIFAZRIdGLbR0kBASlDGlIZPJSMxFlvkGNY/CyRQJIM2oapnEbAKo8b4TZsca7cAqvSUEmi8ROHkGgNKoqXiuqMndwgR83RpIU914VoUagksPDBNjiDikVSgQWo4AmxP0HEkJMvklBIllWMUu4yQE6Lg3qqtYjiBR22DCZgwUNXlDgJ+xD1BCfYBNt4lpx1qiSUczYeRJnqcsBLRel2JkkQHxlzMTFDispOLBwDIIqWNKwLyAxDGDdq4Ic8iAzikg9DEIFdWj6/oLFaWDEVwDIiLzCBGlxiWYU1VIwfrmMiqnYKIXYKIFxNiIRKggBzUayVkriS4fF5iBDUR3a1GjMFke3RFEUDCxhKENFV+54hCEaL5qQQFHlvDdG8LgGpk4RymwmfmE3QagKc9mtwh9r1ZhstopiM9oAqWSWq6gIg6zhFDmJe5HuIoCKHDK5eprLTBABwivC4hmGBy6AlBMipu7lZajzggSPgbq6t9g1F4GVuw+NCEcFgSt5oteSBZk6SUkvqReGKMlsjiTPDM7yJ/1KM1TOgA0nwQjCwsXokQFuTaaCuGGiJAlX0lZsKopuAZBwF9+/8RZgpjy/0jIvBRVN7INAs6tSzlCglMkxjYe7T4cSXU1jWeDluNXKysSzhzMOQDkgKZUo3NhLfN00Xi5uLgJx5FLzAGBOADo9RWGjjgYKDnOJVhQPR7EyJrNYVkVwOjs8wA2ZO+8xRowdBxN8yhuJebBwMJX68RhaRVfwxZD9Yc3KzqBjV4VZkLUwsldFi4GpyhCklyuLV3IVsfRBCGkwxdD1O23qocu3Q50Uo4qypXBFWGrkEW1Az0S2SvGAOnA2BQMR25v6sdFLWI5hNAvxIolDpjJc5KU40Io5pAShFo6UDJD63d7CDpgJL2sFIhx5vmSKL5SwCpB6J6obKm5uMZ9Vhg2wahr5ZInrWAqwLmJl6DNzVfEU2ZbYMSmCWgY5BeZyGts1hyr3TZGdkFLOpiW2jJE3F2NRihiwCWQ65eDIFpNRfcdlHJaJVbfKI58NbK3zxEsCNXaSAbOKAUFEJvirxOol4STxYBLJS9gLQbQskgkTiyrJOAoa6q2oxBnjmERb/ksS4OUClFqoNl5oHVKigEqpIxSieGzmIoVFQ5Sqyy+q8qyXPHLCBSYmTglYgBkhiU3KWBRI4WLFqSWTuZcykfGRNsETKvgqZxRLoUYCupNNtFEUMJRolhzGRBIgMYC35goQC0TZ8MTIVZqECkKdKwIXZDgjkLpKskCN/FbD850FUEF1LtHYcogRSFRBGgKqSCR6WaKz0yiS4iWd5zI4zJh7K7Ewe4gVuYagS1yJkMgISjPEbBmdCEFPKeIPHGKXRslMQDAGURI6Ec0XNDqoAkeoeO4BO/xYKVwUINrICpjBdVVFVVFLYcIbhYsaiCoI2jFnUP6f9wyyZrMg5O7HO2av4SR3lR3fbISKesu8fyELJJXgN7mqAJWpoTg3JbeBEEEhi867BCQUKW+eUgCe4u7gJQQgo7oZugSjgBYYh9YWIaiiobhU/Y2OHR5TDFy4CpxsSCY0oaX3BWB+NnAMLExKyUsRueAvlhYP12gdIWaKYZsYJYgSc6xkuBD5GAIupQBQxZ4EyWmKJXjh5L4ei2ZVduxVIAoxihjYxcJbCYi5sHGbyrEoCxc8ufvIAfN08wkKnOgS21I4ijCyg2dFZTDKjRjSIrJk6vHkMEvR2LbJDOCNToIiRMS6rKBREbAKP+tWWja6sJWNVYyyCg+XbeIKgwSzxCgsUtsJQwkGnXiMUawktPCV8LRaCBWbMIOqzFx0FzXEZTDpIOhj3jH2Aowa3wlTnTExs/dwBpeLVwdhYPACRyCz+gKoNDyZlCjNK0LuFBwPXAGgJhZt7gMyyfxklERgOoJMRuVcIkSxWIvSYiB3TxIrjsSErEIvhDbVMoT1RBeMVKCU6DK3mCAcwLIKFlo8VUQPkN0xL88P+TqamTcQTmAlhr4gwaTypF/mElgFQWBmMiqiwESXEKoIKJhysR2cWjCDrORm2xnpCHR8AEXzYJeY6cTLUwqIL2tAtnwMUIWYYAd8LG+wKkxLcnz0toqS6eaKbqhwqSB0jhPlmSs2JiADVay1hFDqFglXoSJOAGOOikXztcyAEiQwdgJgKgo4bEukCi+2hlIHYrwhiINFM5mr7JAsIQqo6WycSqsKQMnIoEbgoyvNRSxOkwpb4c9kWj744m1T/PPhKl4TaIa22OYKC5uBSiAKhmMHBhFPiUXigEeyQYFlCfF2STUfPxz4kQteHY9BEy5isCnhkvtH/weNI7OMVPm4vwkZZi+M5J7dy5WAxJ3l9PYJf19QFI8IK294gYA+mMHQhTe0HUgxYp3BrDF1kg4ujnqCOecQ0IPETGKUFnrlk01OrD02j8IzwdTAOQnaEuBg2By65s0Oc8UqWlFZSnXh5L2Eiitjs1FVCU8bwAqNi7GSlY8HPKkbI73IW6KVOTZurXWkibxWBAYE+HvsQdEiQQcz1WBIZOvzwM2JkDSw4+9OJPkTilQFP7lLzOnqVvlNIJwN45nll9Klt0mbiBjmqhnTbkxkTEIkmFgT+zyJDQHqIJs1XhM477FosVQAhqhkGtZ0Cy0FVYmWkCEIy7LmxkbFSWkkFA622qDpykXuGcjCEVLibC+OFjaCZ1iciWUmpmBKOrS4YayKIBIbB+npWOhtg9Q2XhFNNcCNBCMebHiagAKKzM4q2lY9ziAQy4BKSLB4FSz1SAiClIvKM7b3uMCLveUeukjqbgUcZIQ6KnUWjZwkZIyRvOQMiIlDngTYY8gzy4qwAKfDTBA9X3xaKV5jkIOgw96B3A/E5BPpRbM5DkqEGM0FGzwiFrQwKM0stry0EGNLaIw61lAnxRCfCqlUGJxnHtXGpJqMjZjkNDOgotZKwuzAUhZ3pFUxune5ICEAYI+qEBbvrqXKxJ5AhEAOO483Kt0SXXM7llk42jK7oBszqoqZ5x1gBYDfeMEX1TDRqYpCcGNCUG4WeGGh2IxExsjEvSsYsSsTVqWxFcWOsW8mA5Z5lJaq4K3BImInDeDQL70YAsBSzEAZp3lCwkw11amyKUjL0mdnNQsQIohHaD4GtNmJDAv+jBUtoWHpeR7YsbIme64Rnq7BjJPlicVJLMjGYlpvgmjxlMGEsXh1z7EWbLLcTQhi6BKkSIGLqqiTaRbcEgNGOmgPPBgyUjrlR8Ih8ZuYmkg0I1WR2orEKKGiGJm+LLuoe95M7MVFF1AuQHSE7o0XaNE4JGZpkVzHymAByUcMXWTF1U6V0orP0FyoGMDkQ4z9iY8LKAbM7S9UjMjpSF2bbHbeJk911RDFIQZTITgpNyA0wika9eXMkx2lO14YWCVZKMAgluCI8ADAa1mCDR660srKT0RRxTwzhsHMv9Jb7bjeh1ZxNzuhltHovQ5mIxR4qOhLp3g2EI1lSkCErozNpuQuZxmrkZsDgSBSZNFYHuJMgQpPiewqCaPUYzFiJK70r1rScYEmELx7k2cZIxbgANhNZIQ53qQEFISLDRT+1nEQcKzPXzdnf9vKTBm4L/ReI1tCKLwt9HLgHYJT7ARWidrJIFQHKMGDIEXI7sMUEjjBzx7AEZJ9hnXNUIdCrNMWo7r12SEad3fja4EgDqTYOSRxkUZQm0FqWH/HEY3UGCRrEkPkwLJecsarYw0FknSYi+y1udh4cePoP28c/ZfN9X9ZrD8/No/GrXxgsjrxNFa3mSJhUlKoi6vIGFVKS17TyhY7Rz1MdNaCZXIqFC1o25HYRiZVuVcpZhGBIpqFzFklBb9luey2KJMogQuC0Gl2zLaKhWNAAZEKn3QsppS/qmIvNqDXKVpvMEYqobtVRUekI863VKyLCz2jZC/JA7JbidE0TQzp6jb7pMxFibAnKFQYyUgXC8DFJyCSSNnpGGYfXuzUTWx607TQLKwXd7+VWkdRsjUPgtlHppjxR1oeRSjaKFv8oDqp0DBn+7IS6kJLj0UBAqAjZiRKmQmdLS3Ag6MLJadmFWlpwZcPGCZIWSRJGIMC4ByDigO/xDZoblF5ZlnOrIOnE5jOiYi1j64jcUMTsAzvIHCCFy97AqgKdrRln5Y76blxIzVLUyqaQU4IRRYqDMxaP6gAABAASURBVOKio8BFRgRKEomKQ1ax5L5x5Q+CBHGPCw+IGZowSi+Qs5d6yYE/nmAoQRQwKbm4SIcLMCuZxBcfRB1rkU21XSGfgE07K/zFNskTO6gnGbOZgoaSYya4zKkhiXJBhCouG4iON1AJa2sGEXncaQMGToK2zV8yXMHERlUpiAvcbJSyaldGBtSUEx2HsIBUGvBQIPJiYDRNwUyMVrRSZv5sYZBWt/Baprd6rDj2fWCgEoFNSlQmdmoxFuub688v1l8YvB43nq/NFzX6v7FRsUMJCUufKhUiKYjkgYEwhr5kNLymyVZ+YrHNtOyI3AeUmaLv2ABKSSFJqiwFGQs5APDpjIDVRTSh5FDE4tajpsfR16/kKhzAsFgZ3A3ROGRNZqCXqaVrsKImpdKwC5Iq/OxeTK0HxtU4ZmCgwFA8HUhWGBNLSBAYsXdMMMm04hI63sElwOmFibk3OOyRk1254UoAcV02s42BK7NphSoYHCA6E2MJtiohpqMtOzbAAs2HiJnBUC9mgzi+3KrOB0nMeGRW2jKzEFIbk7gZVXasMbuIEQ1fbJWZw4TVtuhFJH4MWWumaEVczxlyUVTH8x5BxBtm0DF6yRFyTPRY2WsCjdHMBDGqhEJW/3IzY3OXpHayAklYuESDwfARR6V0bi6fOziKCyd4y8hJQVJue+eMG+vc2xIRgYRIEVwEsyJUCoCYZbvIZrhQWUlxEYBOirjA0jEnlAk096YVEJkJFkh8AEVkCXZwyIHEmmtelBOSJHhVnh1y/zBE58IBEUL2LRMXjEl1HJSFY64maypeWARi61vLgoqXMB8Kg3ViLaZfQZOTkrCb6193UHLaPHqeJEuaYndEM06ymeiVhTkNUMtzYdFKIhV9WQE6XSyRmuii4WXEbOLAsQY8QAhdOrAW7yVhyZEoFgsejQjR3KLkyV2mopumNEs8dCRFyZNWhVyDN3GToOLIZztTullEkY4s8BT3dGpzqRxB+JMYnc6tMafRcNGFher9SyQZ0drVxsqIOvd+H6nrc9OOY24DgI06RDIqmCgGEcUc5cBwdzxy0BY8IMgI1EjDjHgBCqJRAx3F+IcWYuKfgyqWqlFpjPSFCmYqcBq0YOBxkArVglBYYsBWrRFTJYUlS0EEyrh8a4CdMAAtkkaSuWHIMBMQJNYyKEu2+MEFZ2WD0eDGoRgpTzWwEQazyQsHk2geNkakHAhRf7hQVRqj+ADerLHQ5kZtro/agCjhYICYRj5GFA1ysbdGzpVzRKDJzhaVB3tVlQ9vmKlkBEQImx0DNZiqOhjCdKEHUJUNh0dK3im2SEuMjukIlQd+iHOopCjnR7U469SdH33v6x/9/Hse+exvPvSZX//Sp9919ytv3LLFVcDSLZpZvafJhkByCmbqzkYz29lx9Q6wNapaiDXWIuvSwr2WSmoogMkGm2pE1Y4nlngiV/CjKDohWEEnxOp06kaNygqLUtnMqG1nKBlPwqnEMuNCcI5Np5jFVMN5dAusRLbsDrPYlehVECK4FAjxcDiGDkBquXCaRRQ7M5GSKSaykSuRBYEiswNgR2SYESUKFMspAgV7aTE2jm4c+ef1I/+8eeSfNo/88+Lov9TYABgUl9JYbDp7y4GZe20W+0yWogQVAjHVucbCHtRgkhXWMRZjAObu1GJoU7WoICuRYpgESps1FjU2x9igV23GxtUHk5lSBYa8Yz2AxUaNjcWiwYyLjVpsLGbLYp3vqTwg9LE4srk4spgt8HedpBNpTbVU7lIaW6oYRatRAXKzelcXRWGjUGtUUToTAr1qFolJAOiseUIudmDhGiruPm6zhLgHUfTiltGXjmgUUwBiAcuUjkR1qaarHGysehtV8LOTmxoIw6ncwThhki2zNtEwR5zUgjKBH2iSTDcHZmJQGoZRvTOOs8Smdb3WgjJ54Cio4tIoCVNRefoAWdiALYpljjEWY7HYGNwvXlab61pw9xdEEFm1MM/FmB/YzUKADNr+zc20PKHUbWHEVcImCV1pkzjDFQknE1BGepX5qSw+2CoRGIm52hOhDdLAwM1ySdw4VgEBTL0bQPBChJexRGlmn4HQjc80yRobtfm8Fi9OudcLtsie8v8LBbQluYdJNHhUzJL56aTGxr2obCPbGZWJo7v/kjPXPvCmT374zR//yD33f/hNv/mOO848dbeLNjhVovZmKka2gsIQpmngp4dCZVuSbZGdRTHikGJifzMhg5OQE4abe5Fe3CnIFlhMQlGmkOnJqG7lmFMTZmSbQVgtAzCN6Vc6JZbaaq/YvLpQAq2AIkg9hkcsMcvCl2I2F5ynsTEWG8VBWmzWYnMsGGMZmz0uOGycJQAbm8iLzZH3yWxZ1GJRNbKMZMi9Lh6dpMsCiqqTiHoKG/npylqkyaJlsNvH3cVVaZsFJ115oOIVm9wwQtKxFTP8xWW8aJJpbFopjaLSY1IKi00Wi08Blk3daPbCtVihXp5Qj9zRydO0Ym+ZaGypNHkKnGTimCzZbB1vBoaeYiynHuOjRkrgc1FoCeaiq7gJkLBMNpMNjKDB51rh4rCq8MrsnrgwJjx8eT6aFEI8ko0KiE3HpwnDJIlt5iiye5TtbkpeFaTQVc07zVFMIsx4iw1PXizFvWhmeHCSXTi56CXqpOZRHOCCCS5Swjqyn6oyxcDfUTiLS7Ri63C1GSjmZidoCVCXrWUze65eI1wTD+MY/Pl448X/sfHC/0x/8X9uHPkX8XKYCIdpEhWDR6OGWrCfVYvi0y11DmzJDMjyVMlaoOGe801m88q2lHdyNoG9Gr3AakslKIbBLnU8d5HFLr0D/0KLzVrwpKwzamwGkFXDCSG5lerIWfOM/Xhf5saRjUrkAkZ64HJ+zH0pzicLtS1NTpsQ6Im3gUmmiXc5AnQswyrlYhPE1lN8k2oWmAodTIqsGTTGWNA3WIWpdmBtEAoJ0UyeKraicGPNlAsavOx/RsjgZATDsQlDY0YNVsexb+OEN2g5aSjebFp4urIYk4wViO0WJIEY3apkVrdjdqNNDOiCh+SqZrbysFgEiobAyD4lfUk1G8CjCOysM1KBMLOj81kD23vA8yUaiKpgkHFlJc1FETYPP7CaZDa7iSWjipvIc8L31yMr9eLKeH5rPb+lXpjqyKR11UZvUONtKwudJNVkuxel+NjLsVF1dBovrtQ/r4znt4wXXEdKG5WnlAAizZSrQoCsgqKjUWqxoo2tenFrvbhdL2zVv2zzkRXn4EqlyUWxNcoixmOwBbaJw1NMI3a80qga0sJEiW+6yLg1CcMkRpdrccHZJ1523p7Lzt97yQV7L7vg5NP3bhtjnZ1VhSy8FIlOF3hlyAlhozb27vZ5Z+48/4yd55+567wzdp156i7xgKWYQXgV6WHJs04UVCZtsV2T2GmnPNfmpHWLDX9hpdIndrvW3YdV1etQN34LFZWHxhCxAbMTGg0+Fy+94Mxff/td73zLq971a3e9+213//rb7t57wraxwcJFDAUMFmTklUmyB1wYVezPkAa7ly5eRCvmhKi1Gtu36sJz9+6/+NQDF59+9WVnXXn5WaeevHOyVqZpyv96RJMVI5xWhknMVbu2+/Q9W8/Ys+30PdvOOHnb3hNXPA1bNvvOtBC/1i7Wa3G0+Pc3hM2jeUNFWNdYH4t1ba57rNfY8Ng0b1XX3HZvn6689MyrLqWeMynpiovPOPnE7RJ3hQVZaRm5KFGyOqVqTGXnpG6Kt3AxbvSRJpBi6IOvVWyFa2zburFz65EdW47u3LK5Y+umvTlNm/w2e9E5J1507gmXnHvi+Wft3rXdWYpWrBXNrazS2Dj6m+949c/+5NGf/LuH//wPHvrBHzz4zFcOn3v2qVYKYXesSVV0lrbnxC1nnrL9zFO3n3XqjpectuP0k7fV2AQnLo5bbWz1+jYd3T4d2aoXt00vbJuep2/VC1v04pbiGVkKW3SEx2Srj6xwnAw7OTbOPW33votO23/J6Vdccga7dNapJ4jbbQpR1di5vS48+8QLzjrh/DN3nXvmbg7wefNhPmPnuWfsPOeMHeeeufO8M3fRUc87Y9e5Z+x4yRk7zj59+9mn7XjJadvPOW3HuWfsJva0PduhlTleHHuODbuCzAIQps5mCtrize0rR7f56FZlLT0iHNmi9Kg+usUBbPP69pWNFZ7ZEqfbNfacsPXGK8+74cqX3HDlOTddec71B87Ze8I2i3NbVcNj04ujWhwRhwdhrGux4eLMzPd3g5PGQXJteGxs33J0+8qRHSvrO1YQOHJHtq8sLjlvz+Xn791/0an7Lz79onNPWVmpVM89KNGyMin3lmW0oOLeiH0sZX1ckxZnnLJ915Yj2/3iVh+diuO0CKj3RbJqIpRqd22ts0/fefZp284+ZduZJ287Y8+WFW2ao1nQjK3T+raVF7nd2yY2hzvObX1xmyNni/TiVr2wTS9Mi+enfl2s8KKuo2bJY4N31yXn8xI75bKLTtl30SkXn3eKxgJSldIGb5BhYdm0Nqlwhby1MWXEwlPAuKls+8ZUERq2PgnMxjRY1PpKjxNfPlhfmX0Q7wqHXkLv1XqYFhuJ6SOr0yhzPNiIODrC4oAUAGaJd1oZRkk8+2+8++avPfrh+z7wxpffdPFZp27ZufXoijfxW31vpBLhELKrRNHZQaVBQaKxgIVHqTgSY31sbsK5efT5i8475f2//oaPvv+t973v1z76vl9797959Rmn7AajGlosim8AY4MHmNtUg/dDUZQqae1Op2FeHTM5X+Nqs9I5h+we4Zsag1iqM0irEjt2bNVZp+w4c+/2M/duO2Pv1lNO2LJlhd+QBw0kkDKFVy4GOouTbE8uNhSAc3hk2UqzM0/TOOPkvDd2bNnYohe3rGxsnbi5ZbMnPHdbLEZkdSOEgjz1u4o7uHOb9u6e9uxenLRznLSrTtq52LNzceKOxUnbN0/YvjiBccfm7m2bJ6RvnLBtY/e2jROxb1vfvW39hO30jRN2LE7ctdi5jeXTS0ouJ1nXJ3Hfywty0Ve07jo6ecN5NFTDqnQnqgOtPbtXzj19J/28M3fTT9+7c+sKLs9NDrdlSTZLYygbldQxcUlqw+ZKbW6poyt1ZBpHqvgQWXAvJJFStMo8TbWizXPIyJvt9G3nnsZmbtu+raBz86vKxQfoRtVRTkU/ZVAhs5Z1VZ4Xqz86xbr4KF+YLz9j3YOTsIncURse6whi4Z44F1SyxYvTT95+wUtOoF/4khPPP/vEPSdsrbFZYChPWRS5I4qVViVMPC5YjEVmBegqvKwY/IS5uOgYJPenko2LBY1tK+u8XdkTXiMrOrLFR7bUkfndu0VHt5r3zPpWr/Pu5RW0ddqwONKQaAw+Cjke48QdIwdg+2LHlkVKHdCmRmoGQ+etW5sbyrPGb+lHeeK0ODp4+hZ5pvBqsTk212tjHXst1sdis3jc8sZmi9jMhTySUhRtdklpVvGzWH/xf3z8I78IWxfvAAAQAElEQVT28z997Gfff/Snf/LIz/7ky88+eXjPCduULSBgNL6UuAUn5yX5wNp17hm7zzlj52l7d+GW5q3grtYkUiAwWR5RLE3aMvEoHWVnVhYvTvRxZGVxZGXw6stBWmHHilfxkS0+2pu2UQNi7k7V2LzgJSfvv/i0Axeduu/CU+gvOWP3YnOd8iQwCw1OzrpYLyeKcXCKNsSXHHpU5E3nqRhbtMHH066V9Z1bju7aenSL2a71U07adun5e+mXXbhn30Wnnr53B/tijpPk3OjlN51sBovhcBSHpcoSq2KgiLG5a+vYZpbz/MSXc/O1k4wyoKJCunifUgP3Zdf2On3Pyul7V07bu3LqnpWTT9oibSrMUo0t04JzsqL1Lel8Uq8jr+hoxjq6wnYt1ifGOupi645uERi4F9u2aM+ulZNPXDn1pJXTT9p6yolbbJ4U94tOqsm83qtEM+PgBaIYBwYOQY9TjAI05KJNWC3RieAjzmW8DLmtpsVXJgpIZK7GqNu05IWM5cfUsGPW4oEsCC0nn2TKRLZgrqFhsuZSt8IVgTooTTwinK2uVZDgwYoK69HtWzcuv3DvO974sqceuveHv/+lv/yzJ376J1/5/Wc/8dnD//bVB68896zdW7xRnBWew06dpwBheGbhJu1YGXwpf9ebb3v8wQ/86Xe/8KM/fPgPvvXpBz7x66+/89oLX3KS64hSPHCJYtlkTZkhKI/NF085ceXma877wLvuevqRe//ke5/7s9978Pef/cxDv/2ed7zx1qsuPW3viVtUmxNgU7mrJkhG7yzLZQ0u7sQK1LXx4o1Xnf/Kl+2/89YDd3S/8+X7X3rNhSft5kt5eVJaiUPwrSc+8b/88Imf/9njLPZnP3jyvg+8uTb5SDDMwUhDi6rNMY6MzaOLzRc3N16ozRfGxvMv/tN/ffAzv/m3P/n63/7467/48Td+8dNv/MWfPG6OV0K5iKbIolLJokgVPxGFNsbm4oQdvmb/We/+tdsf/8J7/923P/PD33/gD7/96SceeO973nHw2n1nnXziVvKWhrsR5HKr3C+YGMcoVbjHtkmXXvyS007eyzcODNb4L//1//t//3/+p41FEcgVGA4U1RjrZ52666XXnvey686/5boLbrnm/FsZrzv/5msvPOu0XUMbFAkWbtXinDN2P/Xwvfzm8NM//vJf/MHD/+7bn7vrtmumOgrJGJvK3aSKzaExFqOKzrecqs3Nd7/trr/78df+9kfP/N2PMj731Ke3TdyiweKtBd+V7z549WvvuPq1q1fdffDKuw8yXvWaV1z56tuXwmsxrl756tUr71696tV3XHPg0rNNrlHTGFcfOOcv/vgrP/6jr/7ojx79i3/3yO88++lbb7qU/Cm7GLLIvkZV1i1VafAr4u23Xv6Kl15Kv+3GS2678eKX33Dxy2686NbrLrr5GjrLv+DSC86wNy+54PSf/PGjf/3DJ//6z578mx8+8Vc/eOLkE7adsF2Pfen9/8sPnvj3f4bl8T/73S+98rarFoujC27kYp2DMTaOLNbTN158fu/ulWv2XXDDFRffeNWlN159+RWXnbNjy6jNI4uN9cXiyObmkbHJm5f5+U+t/Zt/+Pm3/sPP6N/8h59+84+++/DmkectllGUvaXWv/6Vwz/43Qf/9Hce/EH3P/3eA/QffO/BP8P4uw/g+sH3vkj//nc+//3vfu773/v8oQ+8Ze9JO6fJO7YuHnvwAz/740d/9seP/PSPH/nJHz9y+MNvc74gcgvYpXHrjft++ieP/82fP809+sWPvsbNov8th/knX/v7n3zj73/y7C9+/I2/+/HX/57+k6//3Y+/8YuffPMXP/kW/R9++tzf//Q7v/jJt3/xk2f/9sdf+9Jvv39sHhE18/Bxbjz1geWsujw8rUx8qRkbb3r9Ld//nQf+9He++IPf+eKffe+BP/veF//0u1/4/nc//yfPfY7+R8999g+/9Zk/+Manfufrn/juM/d/64nDLKRGaGts3nD1xX/E8n/3oR/87kPfZ+G//9DLXnpAg1eBa3PjuivPv/vOa1/7ymted+c1r6WvXn33nVdzbF5z8Oq7D17xmldc8Zrbr7zrFVdeeM6e0/du/emfPPbvf/AEN/dv/+Lpv/nRM6ectHLRuXv5CP/5n371Z3+SjXrqyx85iZtty7SsBYHjZG6IEPkMk2RlwSN3Crnq/LP3/P3Pn/3bn3z9+7/zxccf+tCHfuPus07nN9thy7RiE1bYnrF59K7Va372/cf+7sdsKe+Nr/PeuO7KC1UF79apvvDJ3/jh7z7Eu/fPf/+hH/3BwzxxjMh/8QcP/fD3vvTD33voh7/7pR+kP/T9733pj777wB985wsPf/Z9O1a0eeRf7v/wO/7qB0/+5Q8e/8vvP0aKP/j25wf3JQVkFVXrt99y4O47rnrdnVe//pVXv/5V17zulde84VXXvuFV173x1dfec9c1b77runtedf09r7rhnldff8+rr7vnruvf/Orr3nz3jW9+zQ1vufv6t95901tee+ObX3fjW1770ssuOpOvSuKjRq488jU39oTORqHmkDHJAsMbIlOuUlbKkP3DW5M8xN4WV2bsW1fqmv3nvWb1po/81pu++8wn/5cfPvP733rgJWfvsWWa1BN7T+wcRSaIJvO1o8a5Z5x05SVnXnHJaVfyV4aLT7viYoRTD1x82hWXnnH+WaessNHkqeJttGvr1vPP2XP5BSdffsHefRfu2X/h3n0Xnbzv4lP2X7T3wCWnnXHqTpZHPZL4beG8s/fefP2FN+dVeeEt1190y7UX3XLdhbw56S+7/qKXXb+UeaPeev0Ft95wycknbWeL+MZ518FrfvHTZ//hL5/9Dz/75n/4+bN//oePvPS6SzjVEvTsRi9f0mAt7AJvLeIosd/dAoBPjQ1AaZZqz+5tH//or/3iR0/99Q+f+L1vfOKBT7zrbW96+al7d4zBb1wq3pYKng1jxYxzXA32zdu3Tfd98K3/8PNv/uPPvv2Pf/ntf/z5txj/IwL9r577x7967j/81XP/+JfP/ce/SkfAgvyPP/92w77zj39JB/Dtf/z5c1/+7AdP4s9Ocn5I+MuZ38I3LzjzhLteceBjH3jTV77wvkc//977fusNd7xs3zln7ubXD0qyJ4lZ1squbSsfes/r/u7HT/+CT42/eOpvf/TkI59/39mnnzxNk53PdNFYSZm5V8YetBxds8Run3rS1pddf9EHf+PVj37ht77+6L1f+sy733nPy6/ad+auHRy9jVHZ7TIspbG4+NyT/+ZH3/jbnzz7dz/5Bm+zn33/8Te//mVj82jVYoz1XdvHna+48rV3Xs0jQ0d4zR1X3X3HNa9ZvfrVB6/mUVq99cCpe7Zds/8lb+TZuev6N9x13Rvvuv6eu657/auuecNd174+wnU8Za971bV8Qq1sGfKoaUiLM07d/vWv3vfXf/703/7503/z50/99Z8/9cH3vGHrJBc3jk3s5SxljgHVTrG2mWWLbwWsuip7F6PZSKM1iq1g0/AjMNJP2ulnH7vvO08e+tbj9z372KFvfPW+rz1639e+8tGvPfLRZx758NOPfOTpL3/kyYfvnfszX/4wn/gXnnuaalOqoy/8z2cfu/9v/uLpv/5z+jP//i+efu5rn9NiQxRbnNnFjq118OZ9qzdffvDmy15x82W333LZ6s2X3XHL5XfcevnqrfvuvHnfnbfsX132y1dfdvnBWy+//ZbLb7/50le89JLbbrr0tpvol7z8potvu+nS0/fuHIvN0mJoc4yNxcYRvm5trj+/ceT5I0f+6ZQ92664/Lyr911w7f6Lrjlw4YFLzpnG0c2jL6xvvLix/kKQGy8u1o+uv/BPTz963y9+/HW+ePzdj575xY+f+drja3xn4wv9xDbVZK3Mm2nE3jWLvdOJO1c+9/F3PvPIfc88+tGnHvno0w/TP/zEwx9+6qGPPP3QR5566MNPPPjhxx6897EvfuixBz701Qc+9OBvv5cvkBoL7tnm0Re+8sUP/fxPH//Znz7xsx889dM/feKpRw5tbjxv7kGN0/bsvOPlB159+xV3vWL/K2/b96rb9r/qtiteedv+V77iwCtfsf9Vr9iP/VW377/xmvO3TeuHP/RWPpt+8WM+hb/+9z/9xgOfevf6i//tA79+90/74+mnf/TIj/7dwx947+s2N444bSoPswBxZUHM6byxnNZybtXGi//81COH/+Fn3/qLP3z4a49+9ND773n16nVa8IV8UH9eoItRCxpfZJ7/2Iff8dc/fvYXP/nW3//km7/46Tf/8DsP7NzGnrFLtX1F73vXax79/Pu/8vn3fflz7334s7/18G+/56HPvOdLn/6NBz/1bvoDn3w3NX/xE+/6wife9fn73/n5j73zsx9752+98+5t08YH3v3av//J1//jz5/9x5/zJvzmn/3ew+eftddskZaNtSAVxTO5ipyMrIyDFou4iTX/fsOrIOvm/nFIWQG3cMijCrqSS8ULHoaS7NgImIBCZkRhEm1CWIrzVAQAgyFI4VZazO0RluRwa4xkIpKutLYmPhgMxDUg9gjgaqyffILe8447v/boxx74zHtf/+pbrzlw8SXnn7nvonNefsOVv/H2Vz3xpfu+8oUPvfHVN26bFmOxqBE+EQ1ZVjoWG0fOPXPXve953XNPfeKBT/3Wm17zshuuvvzKyy+85YYr/u1b7uQgfuULH3zr62/d4iNj8Ov+sfhlOYvafP62Gy/74ife9c3HP/bxj77ttXfefN1Vl1+576KXXnflW1938MHPvPe5pz/18Xvfev0V527xYmK3LJtgBjTJctpkxNo87aSVJx768Dcfv5/XxDcfO4zwja+s/Zu3rm7bPkmyMlL1YnOTmzgVv3RpS9VWs0FlKICwvtypmjT4IrV6y76DL73stpdecvtLL335jbwXLn75jZeeuXfXNotX5JYp446tZF8ozWFid7hj1Vdk6Lh9jIvF+gv7Lz7l/g+/5etfPfzb9/86e3Xztfuv2X/xzdcdeMNrbv3kfe/4ztOf+fSht99y3UVb59dCOLmojKOHAF1RoPlA5VEf44TdW6+96rKJWpMBr/5v/4//1//6//nvxgQ8WC4iyD54bN71a6vPPfmp7z796e898+nvfu3T3336U9956tP8OrR621W1OJr4+bbWGGPTg3/qzMmduOubmytaP3HntGcX3Xt2Tnt3T3tPWDl595a9J0TYs3vlpF3TSTu9c+vYtcO7d0y7d/jEHdPObV5srkNX4nkYF5xz8pNfPvTMo2tf/8rHvvGVj3/jK/d/47H7n338488yPvZxhG889nH6s1/9+LNfPfy1Rw+/6XW3sXKqV43N9XVu2SRujXoc2FibbbHxsubiFQV7NmCxuO6Ki7/5+Meee/KT9O8+lbWzanbgO0+x9k8+99SnvvXEx9/99lfzj2n89eXMU084+/Q9Lzlj4cE8rgAAEABJREFUz9mnnYSg2lws+NM+ax8r4q+htWJqWSw2Nzc3Xrz8ojOuvPSsK/lHv8vOuuryl1xz+bmnnbzbZGUfTZG1c9uW/Zecde2Bc66/4iXXZTz3+ivOO+eMk1QcP/5qyO9F3r5V27cUqas4QpNksZyxse+Sc68+cPFV+y+6ev/FV+3LiHrNlZdce+Di66+45JorL77mykuuu/LS66669NoYLznv7NO2rMiSBo9J70/l3rl4RY0xOAbmKqTFJjeUhWxxbfHgi/4WhKm2TJFR6UuLi3NI375S27eM7Vt6XAE2AEiLxWJTISVrORIFeDJ9sjLK46zTTrz2wEXXXnHxtVdcet2Vl1x/1aXXX3PZDdfsu/G6/Tdet4/zf8t1V7zsxqtuu+nq22++5o6XXXvnK64fGy/ynUzj6Isv/BN1sinds6WTFmPwVUD8Y8W7/+3dj3/5Y088fPjxhw899fDa04+sPfPl+7ofeuaRta89svb0l9eefGTt4Muu1OKFM0898azTTzrztBPPPOVERo/NWvDnN7nK2aKMtVg3qmkkZFGSWQdDtg4FtCbbk6aVjLU487S927f4rNP2XnPgkte98ua1e9965b4LVJtOnDzTVKkWKx7c5eM7uWObMHLTq0aNzXPOPHX/Jefvv+S8Zb8U4fwrLqNfAOFV+y+8mg288pIbr77spmsvv+ma/Tdes//A5RcTu9jkX5/4l1u+R9SKaoVcgy8B3HSnqTaO/MsXP/VbfG948ksfpj/+pXvp+erwIF8d7v3qA/QPfPWBDz52TH38QSz35r39xQ8xPvqFDz36+Xu//Pl7v/S5D918w/7Fgnc4yyFNccvN3WdTqEMsI3ZVFZZMA6lYpbpVA7DTcXBa8LWnh6oaJ+3edvopJ/D0sm1T8fjwp9DtY3OzuDnHwFVk4ay5SK9JiKQolr/53nfd/bvf+O3f++bn6b//zS/Q/+BbX/zDbz/4R9/7yofe944d27d6dCrptFP3fPbj7/+db3zud77+29/72me/9/XPInz3mc9855lPf/vpT73x7pfB2on4t4vFW177suce/8Rzj3/820/c/63H7//m3J/4+Dcf//g3H8OCPf25Jxjv//aT9193xXnc0LGxURtH+YKyY4u2b9WOreLxEaeuWEnqCD9bQXeqwspEXkYWJPZwNmWZMRDHymuM7Vvr3DNP3r5F55yx55brD7ztja942z0HT9mzs8aiOXWsobFLsNDFRtkai40t3jxp5wpbzYcY/z6w54Tt9L0nbj/5xB30U07cecpJ9B0nM+7Z1fLOUxDSd7a66+QTd+45cfuO7ZMpniTKy0WpcWiMcfSf33TXjZyoJx/+yAd/83X33H3rW1738o++756vP3r4iQc/+ObX3rTFR6XRoepxrNRiy1Tp5gwPnhQVL0O5m5hV6l1S2i+laEA3XrjpyvMe+OS7nn3s8OEPveWeu1921+pN/+ae1Qc//Z5vfHXtI+957Wl7t05jkbDezCqel7FtRVt5+/GKm2qb2e4Fm1PcoLG554QtD332/U8/fOjpL9N5qxx+5sv3P/3lw0/zPnn40ONfuu+zn3j3eWfvvud1t3z1i/ny/cQDH3r8Qfq9T37pIzxidL6EPPXwR5586CMfef+bt/ENY/AskHYUnyaV9Xrk49VjaGyOscGUtXi+yYguBopi4YyOIraAZ6NsBDqvQ1yFxoehZ6/mBgShWObmrTdccfst197x8uteedu1r3rFdXcdvP6u269/9UH6Da9ZveHuO268+86bXnvnjfRXH7zulbdfd9rJJyzyx+V1vnrv3uEzTjnhrFNP4s35ktP2vOT0k8yNS0ncuMXpJ+/89lOf4ssDnc/T555Epn/6uSc/+Z0nP8n47Sc/+e0nP/Hck5/69pMYP/2dpz7z3ac+/Z2nP8OD9r1nPvPdpz/zHdSnPv2tJz9x09WX1iZ/hVzU5tEbrjr/1v7TxkuvPf/Ga867+fpLT927Rxwx9obUNXZt23r9VRe89Jrzb77m/Fv468Z1F956w0Xnv2RPLdbZTP76vG2ltk7pWzRSsCens7m9qdkZzfsl07Rtm19+05WvYSvuuOm1r7zpdXfd9PpX3fDGV9/8hrteSn/ja25509233HP3zfe8FuHme+6+5a1vvG3LtL7gF8L1F46++M9Hnv9nbsCKi3R8LG7fwnHm9LrG5jUHLnzy4Y8++9X7v9UvCr5p8NJA5h2SN8lj93/zsY/zPefwvW/l98kTdkxnnHoiL8DT9+4+be+uPfyb8jqfg4st4uWWj3KyaHCQBmWzCHMtu0vuH1aqqReLKo6Ha/I4+/ST6Ffvv+i1r7yZJ/FLn/3gYvOFKt4lgzPP7R4bRxfrRzfXX1zRYucW79zmHdu0a6t3knuRTxOwW1bGLTde/qbX3HzPa25+y2tvecvrbv2119/6tje87G1vvO3tb3rF2++5/R1vOUj/t29dfdev3fHut9357rff+Rtvv5NtnOoov5aftGvlxJ1bTti5ZfeOld07t1g8j8UttcRLwBxjyUglyQhCKAS8oqEFiRaJON6FmIXRGbgqy0VJ54oXK8YZuvwMOfYZMNUgG3wAHGznEpo4awRO8aHzl6OWSjSGuSgjNRbfHD4LMc84A8Tjggtf8eYdz3/2/l//0HvecsmFZ6/Yrmo/YwFQ8deL6cZrL/v4R/7tB37jDWODO8TNrlQPBPfm+vlnn/SJj779/b/xhnPOOHVih3ASWRRcGnwt09VXXHj/R9/5kfe9eYvWaxE7jmxz8ZJ58U2vueXBz7zvda+6Ze+Ju6gLgmx0HhISZH/OOm3P2++54/Mff/dLr71wEl+zKHCSGbnok/lnQsJU60f+6SPv/7Vzzzxl69RPmmur63/8j3/6x//T//m//bd/liY2gQDGMcZiUAki3Zqt2TtWjSWGFen2W658+Lff9+XPvf+Rz33wy5//4MP5zsEfPD55YP8luU9FhTN46sotpVfFKcbsA6shLwovkxduvu7CRz73gXe+5ZUsaipeBAISNDGDx2nwzz5vuOuWz93/7oO3XrEy8cQCoHei5CBBJug6cOw5cdv11+wna1Tp6Prm/+X/+v/+//33f9HEtvRasrQOWWycf/bJr7njZo47z9Ku7Svdp13bp53bJr6mj8GGFMx0iqaqjid7NL6p/Ju33PXEQx994kv3PvkQ/UNPInzpg0899KGnHrr36YwfeurhDz796Edf+6pbiJ3r4S4TXIPHFREqzFkL5wQ7py1dNWms5I7zzabYynSMFu8vFedtDi8Oj36lUd6oMT8x7AvUss1dDrUQnOOzcG1uXeGLjrZv7V9stvIeyduEhe/ekSd/1/YVfp2gyFpsugjUslVh5AxzK2eLPe809hzdTx/+zS9/4V76o1+4l/74Ix+7645bKaOUk6SqM07d+7EPv/MrX7j3K5//4Fe/+EH+MMaX1ze99mU7tk3USKaZT2KlDFJ0PHQZrTJCSC/RuDPM6b9SZ/YzAI4TmzHGWCwKoRILrOJjkwYzC4kLL2QoMVFmBYrc9NUtGmcBDGOBJovxYE+fjegcGTDUin8W4gaJSewCk82gboSJW0bKuVPebE8Q4RSg2rri21564PEHP0x//2+8uTFkquoVUGqWULTFihZbPfiE26pa8aBPyhFacU3TmNqyovIYmxvrKkLZ2JpzFXX0sewCGAr+wUsBXMpkou50yWmSWEckLtkK1+b6xRecxWqzHJULo/7zf/7PokEyNhbr/7R55H/bePF/brz4T1pszLCidRGkU+5MjVQy7AEnvfct8dAkBLGyv/AvVfEtqpRsJJ+F1ppWFYfSiKoa/D4MHtbSGOyGBw/FINLcPixFWFSNQceuwVoCFptSY1LR2cmx2b9okSCdqEQydarCVsW47MjsEoaldzl1iFkpulG6Vk92LRZnnLL7gnPPxkFsdfB/+k//5fkXjtSIgURMeFlJRhGa3YqxqH+cuGvbqSefcOreE/m+eNopJ6affMJpJ+8+/ZQTTzxhJzkIgETSNE2nncI3yJPPOuOUs07fe+Zpe7rv5YGl7+K3orExJy0+wlZq9/a8J3lR7NqePyGh7t6+sntHjDu3T7v49tBvEoy8Szl41QWPMVgg6zAp09kZ8mOjo6d4iZWL1nsRe8CZc2EfYidwxiwIa7Fr+8q5LzlT7EK1sfRf/tf/+t//Nz7geELobZzzSKAkYZoyUMCoRTBYUMTtKVRytUEI6aYocioNvckyAwqhGciNBY4qbiaaSLDYPPI/fv1td37y0DtvuPqyHVu3TBgrZ4ml8tK74ZpLP/Oxd7/9nlfU5ouEESwy5cBpbnbmKvaPqpDR6QiU0KNQyTvLjHyqPn/9Fed88VO/edfBG3fv2NpknXGMLfb5Z5/23ne+/ouf+I2dW3i383lKbInbUvAjw8AeVKnGou9ZVY1RY3M+8Jz5vEwMVfqKFpM2rU2NsdjcsAb3ejJPhxitYpycl3kE8VLSNMbY5MHnNkrkWGwW9HPnPV38vaqqxshH3EgdKYqLDc2obo5mme2EPhq52AlPps0QO3NV2eb2/P/Jegt4LYvmf3hmrztO0x2SCgpYCAYqgp0oio2itCIo3d1dCgIC0oiCYjcqICAoinR3n447rp33O3sffH7/z7tnrt3Z6ZndK28eH50QIS/XJUYtCxJlkASUxNT11orFKsIk+NGUkF8ihUulhYIePDojsOtUMEKbMIgY8kMBcsDoAwEKBnD1BlDAI516wCXgeggEPQg4eU/7sN6OcUeGLrJBLSya+EVvv/H8iAHt8X1nxIBOIwZ2GT/8nVtubMCkDW6JuEypEv16tBs9sNPogR1G4ksQoH/7B1o2hn3RvY0AUToiwiYGTqrLAh+s2SiZ0FAA9AxJQcEMo2bC5HrNlLHEIlaAozJWpZVLkMWbD95D/Fefu7fLKw/16PTMVdUqgEWuMbOHomGuhskz2AMoFGqLPgHYM+IRcDIEjxZBMRzFY0ifKKFpUWELorWCjYoYSBvrnkUkDpTgDkbsBL9qTAksxMCZQIc1ykhLTkkOaSFE1xrsrMuX4rEYwbHYeLQwWpgdKcyJFGQBIRtjFdPtiBhIiMjHTUoR0SzABR12mRA8rCZsaq900dg0TqcDX5FoLB4H4EdL2LIMTVVksUgNxhMAljJgTudqmLESBDLmsCJoBAoTmlKBCHzCJYSAgK8kLiYKwoAkXIBBUCSNRyXIBUdExdUhmIADEAgDY0qCk1etEijwxZZVmdxuUmnSpgy1bQRSoMKjQxCBsgmWoMAIDWQQLYo7bli3h+9rlpYchjwEkKZagDiqYpjZGCaPbPnS6a+9+HDrx+6wsSIiYsL7DQQlPcm0ffb+++5uHMbpxUL/p2HGBEn4siVSQ88+eV+bJ1v6sQKyCAAciseKbrm+VsdXH69RtRy8EPLUr1lqRCN3qiDCTsCYhvVqdWnXulLZFBYfEkyMho5gngxw68ca1Q9h0CYAABAASURBVK/ZutW9pHERqwRcyebt//702w63S60oQdm+H4/7Fk0nTGjwCLZDMYOcrlNqSrhShTJVKpStVqlctYrlqlUqW6Vi+apVKiaFwyoE11AjdW+0Aw37l0mdq2EsGMAKDFsbj9SqWqpHl2cb1KuJyzeESBtGLAkyh44LmcnzqE6Niu90eaZGlRKiBQFX3bDAODE5eXVNZOPX1atZvmwJQlMGX76cs2vPESs43SF8JSiybC35+Y8+cHvVSuVRPQUNECM0r/SCIgGwOighiRWBFpFgsxn2gubq2tXuvLXRnbc2vLNpA0Az7Rs2a9LgziYNmjVpiP6upg3vurVRzeoVmYREUES1DkQtY2A3gpaAhF9OTP6fHpwrZEHxBJljF8CkqGG1XizuW8EiWtgmYkLKhIGF0cg1FrI+nixVV7TTA+KCAzwiSKorTEFy+RJSxlSprsoC8wI58MFKgGEyInVqVLq2brX6davWv7pqvTqV69WtWrYUlsz5gQWywWCgWuUKdWpWrV2jcu3qlerUqFynZmU85EGdLcRImzpiQy4r1YIvuFJQ7pVDV10wcbkxdBLgSE7WWr1dgRqPxy2MQxaJMOwmLGuPAwAdaDg+uDq6SgBhaGD4D5hBwQwaKAUxGiUojJHBIWFCaIzvBKL1Z6IEYPHhBDipEhU3eMeUWYnsGhgwoXkDA50M7kBX1674xEO3Pflws2a3Xk+oEyy5rQPUw1uUk4Y2ojXMRrWcDYaJK2AFHGPAFQgQM04JqAASEvBirRVSgh6guioAF0RJBE0wkTYQYXcqMWaExJjQ43Zoo9HC+lfXwBQBapxEcZ+OHj+teNwvXyp5/JBOs8d3nz2xx5wp/V567rFQMAhVBaSQ0EEMogunRIKlxP5UHqOuOmqM4AK1Yn0r2KQuUkJejMOggX8FUCNJ4NAQZGitxYawFlM9wGNG9hg1CFKfwDGoQxyYEBJwgxvB0sQTV3zDHpFRptOGUfHj1tenT8EaKSACFEdFkAxjBAE9iRoXmGKgvmUYYLgHhZnIeORfU6dKjeqVWfAHMdXZs/9IQSG+rwEXyGMAAHM40kF+sC4gMsEWqSWyLn4QgRAROAhEdFAcI1igAMTiw4Sas2IFgJisL34cBx59otbHG1fc91Fy0qZxWcNs1IYlJudOrcGjoBFwBdgBWOhpdEqBOmJWEcYUMyImNNdhhCbouuSKuauDuK1mUAloggpg9theVa18Ob3mC6QZlRY6cepCZnY+G/1RE5GoOSJY1iWzRLAAXQxkXJZwpLmTigKHoEEi7BqhNwYsgyzBwZwwMBOITBjdgY4ZUxCJYUcEkfix6M3X13r7jWfLlkphBC8oADJGiM6dICEqlZ7y0tP333J9bcFTHWlDBDo4I8WIikMRg0bviHCiviAFEEEe0IMTv3RaqEPbx6+uUxUBE6MVd0K4QgtMJIUC993dpEO7x+PRPHL3UyGr+jDgbDn7TkvgBRoCNpbOihURnJwJAfTMbtdaEatNi+pUiKEFPno1ikQNao4BAJpVBbiGX183kxYEG5fIMJEhYkssFj3iQkSEhpUDACHYZiJiyKk1xZiVAoYGQNqYQVFgRg8bnIhLeQRBwYFRmDmBsTZHZSJi7QQj4SffEkljh3Rau2zMFx/PqlenBjKFF3GuXYd8MEMqAjrkHSiFla2GHOX/drCsAgjLUVWGNR+dYYLMtEDCYsX6+gt/jSrla1arUKtaxdrVK9S5qgreFjRChh2o4FEE3xrKX1W1cvWqFatXqlitUvmqlSqkp6aQ/pOHxOs0rEJSQ8XDom9F8L6AeFFkPBtr3IiV3ahOYRhzldZBFXEww4hhZmFcUKwmAAsqRGKpZFrwrU7Pvtm+9Zudnq1epYLjJsITL2BYV5VAZGJG2moWI4NEiaaySoUMiEhc9HCbAvIONDwSi42I3aGysAVrCAKgVtQGRrBABkIQIPggItZm0JGVypXKh8N632GEQIIyHz1+wnhBZrZ+9OH7mn7w7tAl80YsnTdy+QcTWt7dJBDw2BhwmSlhDUrOJQiExsyCptTiEEAhDZLAIQaKzuhoOBaLIYVoNOpjcCqitsTGcWLhrgFDIIBhyWqpnWlUGxQYBxdmYE3vwJBTVUJ1mBhgiRggeuYQWRQMawURRMHEUGdwSckIBkDMSAjbjdAMrg8YhCCEUQcwiRiNtIl2ZMiyo8GuEnBWalCsniDJAkewqNbBVs9uh4EOx+ghDE0/GsFPig/ff1tIN4cwwy4U1TCSgAwkGU3Awu2c05JDfbq/UqFMqvWxoQmpSTx6w7XVnn68RTgQFPGhAoA+euiRKe4MaYAZaaHWj93VqH51a2MWEtbPSPGeeLhZLX00J23qyCNiQpSS6EVxoBZ3OLrlxmta3nUT+VHNHxYcQJw1Ft+jojc7tUkK4Ad7HzsUTGaTF4nNnrc6DiYx/shaVIPA9v143FoLAmYkokxdFAKuviGNErlbHkJQAJUJYkKuwT5EHUrYmWRILMDCorhSqCNYJEQuIAYo9tQjdzaqX5shRXCYsKO9VhumYYt18Bj2uHqVcq+99Gi0KBfBCsO5aDCQATCaFrWoMK9l86aYKA0Bib1wKevfvceMF4ACiAA4YJiIF1YoGX6m1QNwwHAOhgOrZzdExMAesWFsBaMcoNgL4BAG3LTQIxkWKjbMjDwc21UMHWkTcgadByYDb8pRL5okfjUmZkdUe2wJFjBHRLCsdE2CSJmUaGCBhnpBkmDHDQkvFl4SoJpOnNkj0Y7JEBOSgLzqE0aNhK40JQoJ3JJA0oEQNpITYGaM6ASlEziCKLjFYWCAEgQ8Qx4rIFFjGE2Y0CsIEDz6IEUpblowITRrIYVcgCooTaBiIKBzgv1itYQbR8R2LYzEihSiRZFoJBr1fT0NiSx0YcOKxeXM185qWZxWomMdQCPERMbD+0B2fmFWrkKm6y/nFGbmFPxfyMotyMwtuJyTjz4zt9BBQSzuIxciNYPQgp7nXBstNqsTEUOYkDZmTgyIPK8wUlAYzS+K5hXFCorieYWxPEwLo44ewelCyNkFCJUIfoOyFtUwMKxGkA52Dzmv7OF7qa4GMnYizEzuj/VrFBGEwSJmpoRNjMQoORsQAToXYmKxqHJCyLlm9cDM4Hm4YDkEnSFCSlgbw9hdiIkMo+S4MVgJBvi6665BKbQsAlt0+sxF/MIgBI+xsqVT7ry1Qcu7br73zpvva96kft2aAXznFGw6XW4cZK0QghAmLiyK5uQX5RQUoSb5BShXBOHBNeMQgWk8NOTkRbLyirJyC9Hn5BcUFBZYq/nCO6426AGQBDgEmgCgNhbH65ZY+CG1ByoSQ3mAuOBBVDFRAZCFnTnSQTskj6SZyS0/glEZ6Aq+xscL0sPxKmWTk4NxtjFYUDYUYJLIeYQHyCrAB6mqJbGMxHG3E4gzOhY/LSyPPXhXOBSADDShkF8Q3bPvaGFhFIoijFCImIAJlgHhsGBfWFhAEYAR9mdhUaQwEi0oQgGLCgoj+QWFefkoVEQEepAEEBHDYCQSy8svys4ryM4tzM2L5uVDJVqQHy0qisRjcQhAQ88mfTjGjOGf4NPoxRDhMTN6QlMGBgWECEeK4YAS4vrfXLWJkRwObCorusAaDwxAlmBQNCGoMsiCOamPhAVVYrR4vPDuO27ysJsFGwm1lfz8wkNHTkaiqAD4kIMBeCGwxSYoQNUkkWULHNZVxvH4yNFjyz/6bMGHHy9Y8vEHS9cuWrZ20dJPXL924bJ1C5etXbh8HWDRinUfrvxsycrPl6/+YsXHX6385Jvffv87EomjSkSWUVISI0Wd2rVOTwkzkdiEF/QMGfhSjIVJ8CT91CN3ZaSECCQNBKNiKiMOgTXRRigxDCmAjgRJqYKyQJYNix8rbH5Hw1turI+vsdiz8EtgQh1MFtKmGgGPWj16V706VUV/YhLGBnSOwIMhlSICjjiJlGktLqMSxxKJwAwMCQ7wxMALDpQRQVNCS8QWJwuC2kmQE5YFzYchBG81G0wJo55PcOU8qmkXOUJnJkPqEvIYDehOQ83CNaboiRLOi0dmkFUA8/+BdSGzicTikZhfFI1GorEobh+xWFE0hs2v02gsGsVWp//Fj1hsvEKZElXLl65aqVwwiAdHxEOMhs7APFYQPTH+jJ4LSCERIUQSiLJJ43eIdv+Hjil8IFoVUIwFFhVxHEwYCAAYiSFYdQcRk+JEWiD0WgONW4srvrW+Lxar5sOUkE2IoscUxcIqat1gD2oC7wwLzoOGJmJQk7wivUPlR6KAgmgMvbuSRAsLo3FscyhAz52zcd/G435yUjgpFExy1yu1ogKwjucBjwj2FYwrEYEsVggAFFYEh9WwRCM0pOLKRbAAAlGVCWoOZaXoDAfr/oQ+eJgl/KoOJWRUnnGOKUmlrB+vW7tKMn5KgYISweT9+096eNfC/rLxWtXL3dWkQfNbG95zxw0t7ry5UoXSCJmvNF0kVXR+xERjNqrbKa5I1I/GfFGbpLEjHUKSJhazsTjAR5VicR+XX2s5Go1ibQx51mJfCp4yg54fpEiQi9i6X31JBJmByciE1Bg6TlgnQUa6pOApFYMLiNCAo/8PNGfwihWhLkhFMEIPIMJSrIG9K8TELEQMgBYBJbLkuy0GojBiIpDgHwPAkMZhSHcSBFhQRMhgJGTg6gApGGTlEjF7OIclwLHnWz+gCy2WlKWuiqKxHbv2f/Hd5m9+/H3P/mO6OwyeqAgN/tJTQ089fo+NR6ygytZwpO3zj+IHSlFVWMLA2TkF/+w5vOmPXbv3HimK+oaNZzw01LdOjSr3NW+chHdssTZeVKt62dtuaQjPlhCkZSwy0elzl37b8s83P27Z9ueezOxcgWMciJcI0T/dqqWhiJBvNWdhNPyGY5gJL+hNrr+2Js5cIgNRKEXi8ZnvrThxOotMiMnT4Fg/7DEzkWgKziMkCXMcJGius4SaCOUWRc5fvHz+YibgwgX0WecvZV64lJmTmw9x0agFhpgZHoksCg9N1iZokAEAYfGRbLNbGwUDnjKJGDcDY/BYtnXHnq9/3Lppyz9nz18ujkQwColteVfjciWTrR/TWEBAmsxEGDxjYIjSUrxbb7kReRGRCK7/vPfgiYuXc9jgNgQaqCTWWt+3kYJePV7Hz3SI0DEIUV1BGM1DPMRERgHqnLCaEAGuGwGDetH7tdEFgEerKyGCqqp337JPjFMLBgGiTpALBivYjaLbOxq1R4+fPXz8zJHjZ48dP3vkxGngR0+cPqKUMydOnYvH40TQZkJDlFYsbCAuwtrCpOMhP1gUgpBhhGuYPGZDTAyWhSNFmTFX7wSEipsI/fXP/j//Obhj18G/dh36899DO3cfOnHmIjO0BCWDz4QoJBVXGvGVBhYIrte4iOBCQRIVY+SJOpEgDN0PRhGGFLNKkjDjboCJYFGhoj6I0TwDVcb3NxURJstQInRExHHffvPjpv4jZg+MKgusAAAQAElEQVQaM3/Q6PkDR80bNu79TVv+AosYb3Q+QxC10VIJGhExg0SJUC1IApukjb3fdxxo9WK/+5/qcW+rt+59oluLx99o8XjXFo91bfGowj2PdgE0f7QLoMVjXQAtH+vS8tEut7d8fvufuwj1ZbXMhsLJScGgZzRwA8ucaCTMlpkEvoWMCX3x/V/d+8/sPmBG9/4zuveb9hag79S3+k7p1nfKW32mdHxr+KmzF4mYrpQ+MztHdQn6SiRiZvhwOJPBdU7TJGLvfGYuNs/hE2ePnzwXiURggEgloXnhUvaBo6cOHjt96OiZy/jkD2tMzEykvQ5aLq1LgsCsNOAQJDTxiBh/xEYHVruYKo4AsLgeWRu/oeHV5cpkWEG+ymGmvfsPsBYDGdhQKAhBJqwOIrKEkogw/EKOCAh8idtEcZ8nzVz5SpcR7boMf7XzsLadBnd6c1B+YRE8QpNUk3HWPP1y92fa9m7dttdjz3V7u9/4ufOX16lR/vprq5UulQaT7BqEYRYoEQJx4IWPHj9/8PjpA0dOnj5/MW6tqFdm9oj57IXMI8dOHT525pDC6YOHj4NPwoQmcM45eQX7Dp3cfxhw+lImrns4wWFBfD9upPCl1vesXz31m7UzVi8a9cA9DdlGGKqMBtuM9NWEMycgCBE2BjOqoBLY5G7wJB4vzHrswVubNm6A2EADQJLIXl2nWo1qpY1ExMYEkYleXxEdqiiCQqs5iwnZuC8frvi6W68JXXuM6tB1cLvO/dt3HfBWrxGDh09cvGTlxUuX1aYaRXwUiUS//fbHaTPeGzlyfK++Qzu92feV9j3bvt6z/ZsDu/YYsf6r36zeVjxjDHteLBbHm21uXlFubmEeIL8wp6AoJ7cwP78oN68Q9YnHccmihH30ACKkikNApf/TmBgzJ2C0ZzzLCiEB1v2AvLDPBMoCOWwYRoUIZxNhSiyEIpRMC7W8+1aIMCN9gpFzFy/v3ncE91gCVSTRQ5ZgjmEaICg4mKQvt/AmEIIiKMx08MiZme9/MmbqqrFTVwPGTPlo9NSPRgGmrQEyZtrq0VNXj568atTk1SMnrxo5eeXwSSuGTVwxbMKy1Z9ujMSE2QMQ1jQeaXJDvbq1qkjCAxMx4aV3157Dew4cyyvAxgBJ0OC0yc31rr2msrjLHSEaAGljhgwQSP0PEnNSAmqi4poSiW/9MiWT7rz9+oz0FDAhxsx4vMM1YfvO3WfOXybUrNgyly6R9vhDdxDh1UKNwI0CFBxQcQNNkA9uYRczcy5dzsFl5Pyl7AsXsvLyC1UEi2Y87AosE3qs/tlLmecu4sEgE+cR7uBnz12KxnQzqDAxEyNcjQ2jrzQmYjRjdPCMgTNDhIqxtYQ7gxUbFwsNzHyHQ80X8ZVvrQhwSxYXHOQG27DFkIYJYAkEuAMQDD5T4MIycvKHIyctHj5x4dDxHwwZu2DI2PmDxy0YNGbBoFHvLf/oCwhDlGEP+4IpN6/AGMTERKLpGo0UAsSEHgB5BdaIzl64hKzPXLh85vyl0+cunjl36fTZi6fPXkDRIFNce1LFwkjs1NkLZ86Be/HUuYunzgIunDpz4cSZSyfPXCwsihKaukAQhBVSXSZoAgFYQea4dQJcmYgh42M/ExMuyLga48pA5FsLAuupQQR15GBRVf1VC8VD8IycSEci1BA0dZeTHx0/fVXvoXN7D5nTe9B7vQbP6T14Th/gQ+f0Gjy7R79JGzZug5KKkhotRIvgKZSwDy2KrjRKNAZucJDbroJtf+DIaVw/9x44fvFiNixAnAS+qbAwcvjYaTyw7T1w4sTJCxE8U1vYQK7oFVSy2IxOE4cgQYIc3KInRgMDotCDdRaQiA0zru2ejmwbXFsnLTkZUqxxQYLOnDkLFCBiw+EQa0O8uE9BSnCAgB6YCByKRW2tYAVXr/thyrvLp767fNp7ywBTZy+6cDkTwgJbRECw/2e9v+zdBavnLPx47qJ185Z89sW3vxMHYngrs4LGGhPhhJ0wqsfid/tNHfNmg/rVBNsb6vBHzAJwA8GoYcYyoQoGV0pBGCCyYPHhiwQCyFlI15TYkDYwWZjBMqS9nh1sfGFLAjuMTsWIDCdGYqSuPIJaggQK/ScnkANBYAgYESzAo/J1gLZDEQesu5kA1+O/OeHp/6qK1auWc2YMM0MubmXh0nU9+k/u0X/Km30m9hw4eeOWnVecqoWAMTdff3VSCFvb2ni0fu3Kt97S0IWqxrHzzl/Mnrd4bY/+U7u8M+mdQTNWfPxNfqFeZFmbCQbN7U0aVSpfwvoxw/aautUrli9DqKACYePjnjFuygdv9Bzfo/+0bn0mv7943aUsvG4lQmAEX+OqytWqlhf9oo+cGTEriF+tUoknH727VIl0rYwmDy7hw9vqT35iL0XIEJRJUDBWCSZiJB4gMS51Km7IQlBBBay/tb9t3jl8wrzh4+YOGzcHMHzse8NGvzd41MyVa74gFB1ysALrzEYRXAf9BFkSXpw9dUp+9Wpla9WsCq+swhCn4yfOzJi74s3ek94eMK1bvynjpy06ffYSuIQmVsTik8kdt1/vxyOE+pAkGrRxKfSMIT96f4vbSpVMYWQjhN73/V82bjeBEBFIqkBQFBuPFTa7reEDLW8zrGGRa8wqAxRmCd4gahG/JWZDHujgF0sQMXEkEvthw5Z3569574OP5yz8ZO7CdYD3tF87Z+HaOYvWJeDdBWu27fiXtMGXMM4VQTLY6EJwQ3z01KWh4z4YOHrBwNHzB4xZMAD96PkDRy8YNPqDAaMWTJy57HJmLrRFII+FhK7AO2kIuogEGoGpXOCMWhhEa5idCMQIOJPOi+lssDbkmmpF4tSj76QeA2e9M3DOO4Pm9Boyt9fQuSs/2cAmZHEhE6gyhAUHAQHApYtGKTiKvUP+829+W/Xp9yvXfb9q7fcfrfthzWc/rF777aqPv1zx0efLVq1fuvLzpavWL1v9xbLVXy1d/fUSB0tXfb11+96Ye25EHjCHSOHLM6ZSuYzypZLKpIeMxBh5g1cMYq3sO3D88282r/92y2ff/L7+m98///q3A4ePYwMCmHG3EcEi6mFJ6wyTqozo/5/kiZk9XwI5BZQb8fKigbxosCAeKoyHC/2kQpusvQ88XBgPFfnhgphCfjSUHwtk5kaNh5KqZViB9WDQCwaDTPqHKWN3sSgbOx4D4xDiwOlz2b/vOLRpx6HNfx7avOPwpu0HNm8/uGn7/k1/7Nu4bc+uPYfS0tIINSZhtSTHj58iL2CJcT3xLQwDhODFHVhw9SEUCKasXvvroNELB41eMGLcvGMnzxIRu4ZxzdpvBg5/d+DI9weMmv/zxl14mSFUSjXJNRhUn4l4QcFcQUQYM2IMAIcTaQmFmAHMhj0cxnDQ+C3vvqVEOk5AmBE1R1SlYvmmN9UTv5DFD+FnLFgi11RbEVjVgQQEqKhNBMbesVOXdx889++B8/8ePP/PvlNZWB4PIowGeUhv3vbX4eOXz1yKnLscPXUmq2O758cO6zF36oAFs4bd1rghZIqBYRLBYCYYhLxgOH36ex8NGbNgwIh3Fy/9LD9PnxoZfHXPS1Z93m/Ee/1HvD9gxNz+w+e8039ibn5EEmwnsOPvvb0GTe83DNx5m//Yw+xhf4nYeDT/geY39XrrFXwFD7CtU73SsH4dr7+uGjgG5yAx/gAMR9gZAlSAIm9CXNDXSxMouDLgA2nWgy1v7NKxjedOcVEB+Ma3pKTXX2o1ekD7l1rffVWVEmSjgh2OuyaYKBriUFs+ZhjxwrN778Htf+4+feaC8QJXVa92W9Obn2r1SNfO7V5v91L5crjRwD88oqfk5KQnnnh44ICeA/v3erPr68+1eaLFPXfUxQ+PocDxU+fOnLsA80zGmICIt2Hz3xNnLJ04c+mEmcsmzFw6HsiMZRNnLh8/a/n4GUunzFyMV1hCflTcoAYMngSJIGEtARHWhbQxa5KszSGkGBODx8U6VwanDiNujiwlVpjT6dWnypRKh7ASmaGH73clM1KxBCiCo4PjRsz/t5A6gSmCgjsSuBCHwuEAbhnIlD3LxhLOO+xngIpY/UBmSGM2REYEXGMtuNqTNtARGx5nIzfdeHWZkhmq5rwUFcUWLf/inYEzeg2auWrtd7n5RaLyxEwVypdudG3toEdUnHOCQ2jsdovgJ1OxekkT7eDA6iMmxCxh5xCcWPFjFcql33R9fQKZ1Kzv201bdg4ZNfetvtPGTP4Az7Igi2uhQOD6hnWqVS5NMEgWt0IhdlwCn+AAhwYD/4GcgvjMuavGTls6etqS0VMBi779cSOBo4DT3+CKYEzwi2+3jp68ZOTkJSOmfDhi8uLhkxYPGfvukWMnmRjG1CRDENsUMYtOE4ESsREFFsjhLl8yPVgqLVAqzSuVakqmmhLJXDLZZCRziVSTkaLTjBROTzHpqaZEisH1Bnhasud5sIngYQ7LITohNIxIyDp3FImbjz/fsubzzR8Dvvj9ky9/X/vl5rVf/v7JF7+v+3LTms9+PnjkhEUQTpq18pyVnRMIBAgTADkerP6/4Dh8PjN/5IQPhk1YMHTc/CHj5g0ZM2/wmPcBA0bM/uiTr0h1/1Pn37f/g1e7ISqJl70Fg8fOHwT5sdCaO3Ts3F17DrNnGOIm+NFnPyxa+eXiBKz4YvGK9R8sXfvBkjULFq+av3jVvMWr53+4RinLPl20fP2iFV9CeNGqr//cdcjHTtEbBqxQogUDpnR6UsnUQGoScosLll5QKECibsIgC0VidvP2/T9t+hfw4+bdP27698dNu37U/t8Nv+/5ZfPfXgC3OYIwgIhxfYjG9d0vZjmOE8RVkAl/CcAZATeWTeDvPceHjFvYd9icngOmffHtRt8HnS12hMiefcdHT1rYd8h7vYfOmb1g3bkLeBPD2sEDExprj4pAAVQQnHlclsRpIwXliDsX3OoRMzYbdoKTZWZisrZ65dIN69cKBtxeAY2EiR56sFmDelUlXmDED4eCuJdBhxkcYmZiFAf7hxyiuIhvrR+J+V99v33e0m/mL/12/rLv3//wq29+3BIIBIUQYAL4pw2/T565dMb762bMWz993mfT5q77+oc/2Avi0dQiZEKDJAUD5rp6tW9sdE2DejXTUsIkVqlM8JjIhdy6IBnBBQKHugAXEoifQSg2RqCADgJk3QTB/6cidKXBHOmBjpwKERap2FfxgDMSbmAcLghSyMsZUyKhLFTcGKMeGAiuyOG4njAzOWAi0gMXLEGcKF605lXl01KSiIobk9n+1573Fnx89mI0kFTShEruO3ppzOT5kbgPbySIAK6ldMm0sqUzsIrRguw2T90XDnpqlhnbwvftl99v/PCjb06eLyyyoWOncxcs+XzDph1CKgILSK9urao1q5VjigeMXFP3Kg8kxkFol7Nzl6764tsNfxb5IRNKz8q3Kz/+YdeeI0KEtUDUAMNUr25NsXESkLW+QjboEuGAsAAAEABJREFU+ffccf2N+p/jS+Sq7s6cy3x/0bqoJJHaV2lEIYJSMqHq0LaETQaDAGbF4YfgiXRXiBDOi7PnL+/afRTfHo4cP3fq1MWz5zMvXsrJzi4oKooKCbRcrYWJUAXBvoeaYCrkbEHGjTZgqGb1yslhvAWBo1BQFF297rtPvvgtr8hwKKMwGvj6+z9+/nWbCDH4zIaNx3TDdTX9eASW1RTsg0XEjMA5Hsl7vs0jkGE0l0N2ftGW7f96gTAICsYjZjyGl0gNdnq9TSgAIUo0cIEInAFciLBtrSVBYX0rWHHRBiFwgTEVRWJffvfb9DkrZ837ZPa8T2bN/2T2grXvzl+LywSQWfPXzpr/yawFa2fNW7Np2z+JJFAhQoEQusVBaEycXxT/899jf+05+dfe0wp7Tu/cCzgD/O+9p3bvP14UQW0JPhEaAFGhF+QBGgmMECF8ADER7llMwBnEBA8OETLmpId2TBAg13T1/bg9eykvM08u5foXc+IXsmIXs/zcQkscsIiTIE1M2tQgziGgirlDw0IciIi8YPJ7H6yfOGvNpFkfT5y5avSkRVNnLf1pw7ajx05lZeXk5eVfvHh53/6j67/8Zdq7yyfPXDn1vU+mzlk3de6nv23bF7fGt7CrjhJ2S6YnTRrdY9zQDv3efiE5KNb31ZX6IewnZjKex14IYIr7MGjQR0oCCWBIWzHB9v1Pl5SYCNjqtQRzKLBhE2ATYi/oBdCHYNNBkAMhoxA2XpIxoAMJK8ULEhv3UuQ8qR0yMGNQKs2AGRcHgOOya7rmjqWPcVDHRTlggZsAwZoJCuNzV+SFNo+VSMPXEFhUEOK//z2yZceBUZMWDhv3/oTJc1EoEWXBExF7nroEjsgPH7+0Y/fJnXtO/rPvRH5BETOuJMWiu/cf/vfA6b/3AU5cyCqwzMSkDVEJHhWBcrHZYjoYIEpi5nYROmadMzEauHwFYxuP17+66l23XR/EzUZUS2BABDeP4f07P/5AU47nh3CNQ7Coe7EawmNnBT2AcB6L6Fkn6sojEyQUxwT8ePyuOxuHAkEIF4Pw5Uv6BRE6KkOC37LKlS5Rtkx62TIZ4WAgISYaBInbAQkKIg+Gko+evLT30Pm9B88eO3kh5scRrpMU7I6jx8/v3Hfy7/2n/9l/dte+M3/+cziqX7LAgiozU3Ze4a79p/YcPLfnwOm8ghixXlUQvY0VPvX4fcgRscMOkS2ZltLqkeZ+LMqMtAGQIsdFT8xMDEQPwXXYovl+tJDjec+3vqd/z9dLZaShhJCg4gZJCgbMTQ3r9Oj89Ih+rzzXqlmJVBY/ShIXwsUKpxAAFwEy5N92S71xw96cOr73+FE9Rw97e3DfN7p0eOHBe5vVrlk9FPSKTeqQSB299QyVK1vqpuuvffKxe7t1fmlI/66jhnafPOad0UO61KtTmcRn3Ck48O/+M2u/3PLxF9s+/nLbmq+2ffLFtk++BP7Hmi9A3PLpV5svXc4W0UiIRISYDWns6ux/BxiggoX+PyrOGCepzARRMQGKNUIPYMWExMYi+Y2vr9n6iRbAQXdmQJeqlcr36/5Ku+fvTw3FxaI4UMeFDIYQEgQSPuAGAFuiikzMagNHzeqV2j7/UOd2j3Z57bGu7R7t+tqjb7wOeKwrpq8/1lUBxMe6vgaBRzq3e6TTqw91bPtg+5cfwOtxSlKAkDHA+qVKpNatVS0YCsABCES87c89Kz758dTF6NFTuUtWf/PXrv0gMsMxG+abrq8bDiI8yGpP/2uCnWHdHmYkoXQnQxBDgXWOgUUXvXaNylhBnUJUCD+brPj4uz/3nMwqoB9+/Wfpqi9jeHoBW7Qg1apUqFOzstg4IiByHaEJDky0TGzQ2ARifmDD5n3f/bL7h1/3/fDbnh9+2bV77zFSFUSOASrCXmjvoQs/bTrw06b9P27Ek/r+nzfv+/an7ecvXAab4BQWsSsY8qxTUDQdwRxTVMAB3XPnzRNHvjVpdNfJo96YNLLLpBFdJqMf2XnyKEUmj+zsiJ0nj+g8aXjnicM7Th7WcdLwDkN6v3hVlbIk+NCAE0FgEOVBD0ydAMPCEGptyAswHgkCSehNMMkEk00o2QMEkyF5b4tmhE1BKoopfry9lJltAvjUhRMswaFEYxUhxgRWidl4RVH+adPenzft2/D7/l+3HPhl68Ffth38Zev+n379q2KFShAkpE+wiqDopw1bN/5x4NdthzduV9i0/dCmPw5t/OPgxm2Hftty4FJ2kTGeMQETTJm/5Kup762dOueTybM/Gjdtyay5Kzf8uuPY8TO5eXlFEfySnHPw0LEvv/nl3fdXTp+zetb8T2fOXz97wRd/7DxmyaDGGqH6JiBXVa0wdWz3ScM7vtW5VVqKIRePMsXlbHWFjApiKQJkgoQbkxc0JsBeQHETiPv+9Q2vrndNbWgJNqDuRNm7/0huPg0fO3fomDn9hkzdufuAwB7jUqcSiCGBMXu5hbH9Ry/uP3Z5/7ELFzPxswHhasWECvKFi5f3Hz69//jFg8cvnTqXHU8soxoQ9aVWdLSiTwLYvtbqJraC5kQtJJy0aK8TIBigRHDAuHQZije5sW69ulcREVIlFdTjtsbXDx/Q6e5br7Ox/GDAYwabyQ0J38xMMKUTjASXirJngkleOE0hlOIFvOefeTQjLVUl9ICKNG7c6NlnHktKSvKwzYKp7KUKh1B1vGvBCKRQJ+1hTuc6QA0UZsMEr6ICzMBRQyWAh5AROoHAaMSIzB3oCE1pzhjmrIdKsMA2mIQJUsfVAlkUA7lmSFkJKQ8o4R1YB5BRZDhkghYA7pABC+7jhC9NOC9gHDcwjVSXRLCkkHFEq0RCQ8xC7BpJ3JYtXSoU0qd/BArAAq7/akPMJuHRivGYZYKBYPKBI6fOnrskWDdiESYyUClRIkVszDPx+1rewYbYGAf6PzlY9fG30XjQeDDrWRM8n1nww4atWdk56h0+RMKh4A0Nrwmy9civUrEsIR4qboePnvrjzwOWwsJ4Cxc2gdyCyL79R3zfolqiaalk5YoVrPWZQFM62Vjp9FCbJ+5Ldv+9CjbMbOIiq9d+t+fQWTIwxcXClpgsJhhQCiuWiNHoSpNEs77YuLXWiH3kvltXLR674oMxH84dseC9Ye/PGjxnxqB3pw1q/8ozum5QR00ATB78WiH34CRsiGAc6wWLlnzrGalcqQIxkZYRRDl+8uzv2/dFYp4l9hEKe3EObvtzv9UqIygAGabKFcpaP47Sw53AHlm1TUTiV6tS9saGdSEHUALRb5u2Z+YUEasbUDzjeez5scjjD9153dU1RCyIQghHfv5lExc3Jw7cvVSIiJ4V1kciVnx4hDyYLEjQVKpQrnaNKjWuqlCzWoUa1csDalYvX6tGhVpXVah9VYU6V1WsrUjFcmVKuQigREAsyiIwg5gtDgKNsWECzAEmbJWA8ULG4Mk+iQNhoyyPIKcqYkWsltSKMwKaQJ3ARj2AaWgYQABwAhOgBAaEUTD0AgtK04OZfNjEKrBHZETwXcrGfXXCIEKXISbQd4MQYS6E9QRqhRlTuEZhiIyXH7F5hX5ubgHZ6KsvPrp84cQxw3u82fnldi8/8+pLrTu1f6Ffz/azpw18b/rg25o2KCjIj/qBqASEA8Ss1SUESIkWCJgmN13b5MZ6jerX9FB9gT8iJjStIyEEw+jIs1DHrsaZz6rP7AYiqyqIUNzcqRMxY8YiSiTtBFmCDIA57BAiQs2JjYoaw+w5MGzQPBwGNAConknXH6AQDuwJ/EEHHCEhQj6GXBM4EHRWdMrMhD/WM5qIXSOckoaE/WjhPbc3evWFx4wR2GFyROEt23cfOX5hzacb1qzf8PX3G32CLKk1ZiIKeIiN1JQxxMBxUwwEQyE2HmtTS2I5vyDKBsQAm4BRGqsy9ABaOtQEFzxCpAT7IszKtyiiqCuXFDjFAszKxQEekmfx05PkmcfvrlOrCjJXph7IHCr26trV+nRv+1rbR06fPrls1ReLln2+eOkXi5au/3HD1njcZ4YZiF0B3VygWNJLvaYpfrx82fR77mzieQEIqTtGs6+82Oqpx+7yi3I4HpN43FpXYQ2IUA2IASDnsgGVWBgFAoUZ+aMIYfbCZGATIevO1xwtKg9WolBBwQswXoYtbBAaDBKxx8bgEcR47AUYDUaNOzxTtmwZdQMhNkSGiSpWKCO4ejAxKJYxkqMzfCIouFSjOhByiOSVTueBvV59q/Pz5ctkkIDOxb4xYq4Uwk4LB73Gjer27Npm5thuTW+4Kh7JFrxUkE9YaUbhhMmvf03VVo/c1fyOG6+/rna1yuXSUsOeYVzVNCzSJsy+GKwA7idW1AETk5ZcB4ilpybXql65yY3XPtDi1pIZ4eLrBhukbwLJFAgZfIDwkk0w2cOjRjDFBFJMMMkEwwQ/DFPqRQ8mRoPpRPx6X5YEgQksgE5BYRFseo9BMcSEhlUjh+mMUTIckCIbj5ZO9/p0fyU9JQyqqyJGImKcEVfXqtzp1cfen9772jrlfBTHx+/muAdalA4lIoJFYcK6AgOCyIhw9WPQqWqVCi8/9+ib7Z/p2r5119dbv/F6666vtQbS9fWngL+Jvr0S32iP6VNvtn/qzddbv9m+dbcOrR9/6I6MtDDpBVV8GytfLqNG9UoeETIxZHDz+GXTX9n5PgfCFAifPpezbfvuSJH7p2JkmaR+3ZphbEYLnCyJVoMZYREhZZyHVjR6zIAIuVwhppjiMCASj958fX3PQAsk/ex26PiZv/497Ok+x2tccPvOfUfxIzlsYIGIypQqUa1aRc8YRqNEg6IibmDWeiASMV6QvZDRFQ+aQJLnBYmRFjGTRcCMFREEY7yACeC00tOH2HOADYZV13hZWE27DvYZeTEzoT7EBETBM6ZqpfK3N2l0R5NGzZo0vKNJg2a3NmzWVOHOpo3ubNrQ9Q3uUqTBnU0BoFx3Z9Nrm9x0dWpyAIsLK8SW0dQnwbK61QCJtVgIASe7IXWLCI3hgGGPDSi2bp2qtzZuiMuvaoNkzD+79p48kztw5LyXOw1p0/ad3XsPQT+xXYgJYsYjgwEVABAMolBhowUPoxReIETETRtfd+ftNwoqBE1kDiD78P13X3dNDcPW4GUGhQ0keziPAskmoAh7QeYAsccU9G0wZoOFET8c5E7tnly9dOrUCX37vNOxS/uXO7364puvvzKoT5c504fNmjK46c3XRiNRK0m+YB+GDHtaA3WnB5zjtwQUsFmTBjdeVzMUYFB0bZyQFbL4I4zEKJUyUDUmlI81TPKtjUXKlkzq8OpT5cqUFBUQQtbMG7f8Q17ql99s+fzr3z/74pfTp88zsxonNGYmNiiSQU8IiTzyPOMFA8GgAQ0knRp8sPetsOcxw58hFwNUYYfQ4M8KEVuLRSbr48/G8OwCugJOL9KRiQgHQ5AQGzSEmWDDko1ULBN68ekHMtKSMUf4kFeWZih4IOPsJukAABAASURBVBzY67XHHm7++9Ydy1Z/tXTV10tWfL1wyWd/7zoAMQgzIyoSQ2zIoHHAGECQjceG47GCZk0bPHTfHcEALmAwr4ZxXF272uDe7Qf1alumZIhsjLSIFg/w8ZhvrRpmRIjwHMA2EzMTMYEMUIxURMRyIh0Sx8TSiDBMIGtI/R8u2BYmYEPrJVCHoNog1wQz0IArotruMkiEuJmgJYxBMxAoYVOwhsVgQI4JjYVVGIaEYJ6FiAyDqNEwwbmFLdXCJQj7SSDgwIr7U6VAODmnMHI5Jy8zN/9STt65y3l/7z4qXkDIgycy0DZiTX5unkozmtrHQ2EoEGCx19SpUbpEimED1xAg4n/3HT145LQJhDig64EF8vDt58DJ0+cuEsKDQQwk1zeoI36UidkEsnLz4T0rryA7t+D4yfNnzmexgXcmwn1RhA0+ZhCRJYJ7UjeSnIzzGZhoPmLjkfwX29xXo3pFIoiBhpG2/7nr6x82RyJ4TrMkukOJmJgFy4HDgoi6QdgVkLQxo9eDUHMFyxJPDnGFMiXKly5RrlRG2ZLppTPSSpdIK5WBmzJ+k1ZhZ8USE6NuTGT4v3VF4ZkMMRMsMgWTkjL1Pz+Ql5VbkJlXcOzUefxqTLjhga1RoLZUUICfVyBNaAlaOBS24mu4mi4JAkMKJLFYYcvmTbEWCUn0IK9e+0MwhPMKMyb2dBBbo2rph++7DU8ezEyksGHjH9/8uBnJExobZoMRYLBAjAYv4uMPubnMwBKRtLSUnm+98uUnM774aMr6NZM/Xz15/apJn62e9OmKiZ+unPjZygmfrpjw2YqJX6yZ/mKbh5ATtGALXqw2zICqZZjCRAUE1pEZiIxB2T6eRMkLBCzyZIQKKYhbLQ1QUBGVU6YEM4ELMSMLR0pQUFW1QMSEJHAAmJ2AFBuCV9HzwsdJI4IQ4z5aDE9vENOCsGtkfYnHsLEwI5xgoo10TiiX8QxJvG6N0rMm9+ne+bmaVXFNRp2SkpOCSeFgSlJSWkpyuVIlbrnx6tmT+wwf0D5kisT3LWIgdUGkUcAi0gcICiLKs2zZeAiecSgI4id4x4CMAKqHgxCViGivtmADoEYhSG4jguuU1SysMTYlMSy5pYakdcYs4bEVOoJq4MUeRAXBj5woEViCqeChI+pTVq5u4KzcfEBuYaGoYYErPcggIBhlPdGYEQFpJ4QWZ9i3VtP3Uc9okhd97IEmIwZ2Ll+2hEAKIuiFduAXz5MncbducdcNj9x/6+OPtwRZmUywyoRe11qQCWGGIlgRCQWDnsdACO5FIrFYbj5iw9niGxsnGzcSd6HqahOWj2AAESFxVWJWU0SI9H+xwDzmxQwRviIjNmb8/OeebP7koy08PKeoXScFewwN1cO1okeXV599+pGFSz4aN2XhuBnLx05dvGTlZ0XRCCJMAESx76ANBBS2qKJvxBpb9MwTLa6rX4tQeWWADpuEW+aQPp26vv5kyCuyfgQf7KFLiApAGBmN0NgFozyxYpEUUnJ7gAkrj+JhmUhQTMiS04MMi4EoEEAiHiKCAsygiMCgK1BSC+6RiA1Z79ix45BCBUUdWfD3HTjCXkCJRGSYcBVSc0wWGEjIxXo2HuJIWjD2yjPNP148/tlWLTJS8Yld5eAdQiKUmYNv2DHoM5O4gYnSkkO33HDNgpmDpo56s3qFZI+xkeLW6uVdfOvHfYOdDWU4Y4KiA90VRdHYxay8b3/a2ublHi0eeWXIqFm4Oxw/fSkrt7AogqcAgZIecA+M7Bl8X7x0mZCUVbLFWSWKCXprreCsAA83F0EziPj/ABN5yBLZMHaDAjExcLUMB5bJgs+ExxhiA21UHr0lYgKfhSBMoLgJpuSLX5QW9vu+9UKjejWhSKIlIRV0YlAjSQ4H8Jlm8btD33j9ifQUIT8mvoYKKxqv0xFErZbVEehqm8gzjItVOCmQHNKrVjgcVAgF8GNpGH0I9EA4bMK4FYWCYScD+SRMgwFXbxF48v3yZUtXrlieWKMhw5czcw4dO4M3W7BFiDj4978Hs/FzAKGpUJkyJcuVToeuIBNEUyynGCE/SDmKoMyoOEpuURfIim5ITcfGY/kNrq2tgsrBu7u//+Dxy9mFxCiSiPEuXs49dOQkBBIQ8EyVCmVTUsJwz1r5BFl7UHQgqBpxtw94SISBKEiDgmvQhJmttSCKtRh8iVt8XMAcExCu9BCFEhRJc9dRKaL2mdjj4ga9BBiwkRkXKxFZNLCcpu5hIscTIdcYe0hXU82DAMkEAwiWFSngAolCqbgIqwSpAUITzcTGgxzt0eX5pBCumwQWZGDh2x+3eOH0vYcvbPv7xOat+/DEQtrA1AE7VwdUlzRchieHEGk6ivp+2YxQ59daly1dAiTnmNDgsunN1y2cPfCdzq0rlA7hmiw+dieKBZ8AWGNES+LWGPHFI7irvjulb/dOz9aqVqF0ybT0lKSUpFA45CUnh4GXL51xW+P6700d0K3jk57gW6fuEhJB0YiJNXmBU+da7bPD0GmQmoaGpmVVKRyIxLd+FCDo4xE/Xsh+3lUVk0f0b9+i2Y1aI6M2UO5Ll3N/3by9UvmM6+pVb3pzvftb3Fa9qj58EjkBEmPYM8bjAGOdyVO6EK6XgQDeVQxzQoyLrlx6DCNrXLvQI2RReXINgkysKIg6MEYEiyC0WJaQiNWkRSwqJ7hOsdbB+nEbzwtKdt8eL1+LK4bzyAgGCNYORtSYVK1cbsSgNyuULztu6gfDxy8cMWnx0PHzft74RywOyyoE17iUBwzCDpIxBHW49n2OF15/TaV33niuaqWy8K/GNDLwCNGUSk96/smW08d1r1+7rEdRwglC1hdECLPga8+wpbsHakzAccA80iG1ACE3Yo0ARGwgRIqy67H1CU2JGKwyMFJCCuaNoDkuysSQRlmhyEBZmwoTwaEmCTZ8gl2sU6wsLipRUWgzRj1IO4OJ82nYxQMhBzCAUSVI5Vg7QmMvmPTJ57898+rgR57r+1ibPo+16fvk830OHLlIHCBGC7AxhikYoJKlSrh4oEVgxbENI1Hfj9/YqD4jSvUAF6il/LJxhxdMZkYw6DwmAzcnT184fyGTIEraMNaqVT0Q5MKIjJj44fOvD32+3ZDn2w1t027wpNmro76Bb8ioKA7flimNH0mUBj/krGRm5zLOJVLffjxy3TWVn3vqQZ2REBZUJBaPX87Mqn1VxSY31KpzVem0ZEMWn9OsiFUxBEsMzLopKAlAtszEaDoXGMNorWADCBpMk3KJiDFVA0TEAByGxeDDjIezC/F7oLDubAJCQsJeYczMmPvxSx2GvYh8Xx/6QrshoyZ+eCmzgDwIQ8Uwse/7FSuU8RCALiTDMjxlZecYrAi5Br/iiyCouNjo3c1uxqYU7AStBJ0+e+mPP/eYAD7wGGIGwHPQ8+9tfnODa+uA4AQpKztv9SffROPGWdQOFpggjn1PhGx1xFcTBMHEoGi9iNSAIcFO/A/Y4qXAJqaKi3hEkMEGpP818a21qB7cqyU9CHFbq5iFc8ysEpAXkRcIJIXDhhgGmBkyfrEMJJE7egCYBC4GCACT/5aSVRF0BzjTAKg/QUwQQMKgOoNRqw5FMJD4Yi0Q7BzRULE7CIbgvmRauER6cjDoiWswy84IoWcm65dKC3br/HzTm67zoAD2FYA3JIYZ9GDSiH368Xve7Ph0iKPix0WQFpjFwIKlhr5hZs9DDVFIUDRsZwQsYiZBzQRLYK8Yh20F36K5zopaZNgh6KsauSYkUBafbbRC6aQKZUIVSgXKlwpWKBWqWCasfamkiiVDFUqGwa1YOikBlcqmAKlUKhl9hdLJ1atVHjXu3d4DJ/caOAl93yFT53/wUdnSaen4vOr7sK9lFGwb+NIw9FDneEmT5CClhqhkaqBy2ZR6NUvf3+za8UO7jBrUuXKFMgK5REJE2flF785bWa1qhRkTe48d/taIgW+82ellI1hEJEBikZDaJ0ExmFEQck0oFfdhXKpQLBHYwzeLgoJIPIYbdrkWt9dveUeDu+64wYMCgQkjhkhPYMhiDiXCoROGMgAzBccDywET7jESw89Z11Qv2afbc292fDaAvS4Cc7CKkzcWw5cCWEbxDYgBj55v8+iMKcNvvKF+cmoKLozGCxGBQ8VN7bOBBhOjAZG4R5HHH7z9hWceRkKMq5yz75JXpdSUUIe2T/Xt8UrNauX37ju0e9+Rf/ce3bXnUHZOnrLd4awiIgViBg27qxghraTbuUxMxNoMghWc9noOkjY1QIw/TATChiCBKes88YLAoFMoOW3RsvVnz2daYQsL1hw4emrVJz+5zz1IRuUJhq8sEz5jiI2VLRl69L6bBr7zwhdrpg/q/VrFCqVI4FGrj4OwLkJ/7z707MtvT5i+eOfuQ4VFUURJROghB2MBto/cd+uS90d0fuWRWtVKe3gjlbgfj8eiMf0oRSxkYnHJyS04cer8zn8PfP3jtkkzl73Sedg7g2buP56bWRD6+Kvfu/WZ9MjTb77WdeikmUvWf/0brpxHjp3Bm4BeqsgcO3E2J6+Q4QwHgBCjSDwWjxX6sSIbK7RxvO4WicWJjKCEErmSNgHOeFonIWLGBGkJYmLipFCo0XW1bmtc99Yba1WtmOHjuy9yZ9QKkgayzIbJ04d9TJCIWBuP+dGC6hXTer/1/MP33+FhzxGjwYuQ+D4ercg150JsctB0fKXVpBHdmt1SNymANY1BTKNHOFYFsdxQRzDa41AaMZHRzk2IEuREjxliJPZghFyDa0goyriwibW4qkjAcJlS6TgNiZhcuc5fuHwpE9sSQiQoq/Chw6fyCorATQAudFddVcVa7AtVSBCZmZg5MRECoomBDwynLLYjEOSCa4FISjh4VbUqyhR0FI1EDx06wYy0GYKwkZtbeF6fPVQHJAxly5RMDgfBImKGHSpuMJDAkCwWi7BviXTlICPWiru+JSQImgZzsSKg654DIgTrUCFtqDlATwpxUoKLtri6GQ9L6KHYTpqImXEQE+khTohcM8xKFRgSYeSjljQsKyg7Y6bxi5BgNE5FTQBJkEhn0NNRKaxy0LfYtPFI2RLBNzq0vvv2G4tDFkK7nJX77Q+/limdXrFcWrUKGXVrVyqRnkJqh7Q5K4Sl1AgsC1AtAyyIBeL78aJKZZPf6vLMHU2vZ43dbSpg7Jr1S6QmvfbCw3Mm9279SNOqFVKNxFXRImvERohNMbHiR9OTpe9bLze+vp6aEZwJ8K8oDEHO9dgXgktBp1effO35B9kW+uLDkkVsRELiZIhVSecggygW5wtOCreycATDEBSsjg0ZmxTwU0JSItVULpvcqF7F119+aMHsofc0uzFhgyxEOe7bdZ//cOHChUG92y2eO3TOtL4zJ/VtWB8v/IKGKAEs8MiwrThGNogD7ytJIc8waA5EIkVR35d4pPCG+lUfuueGJx64rW6tav8TUH21BF0GFZkgY6gKYb09Aow9AAAQAElEQVSRC3IgoAiLiJQr8IoZ20iJZGl4dflZE/u3uLMxUraaNRFZBI/3OxXGjBl2SqSlDOzdpX+vDjWuqmACQeOFjcHZgSgZ6WBzQVDgFwcLUzwtiWtVSW/9yK1Txva67ppaDFtwS0wAdMRohCa2ccO6c6b2g2TZEgE/Xmj9OJGTwB1EEKZs37l3w+a/tv65Nyc/AqfwZ8iDjFrAbidDaAzr4KC3DG2EwNh4Iri+gpbggsEWsqId6T0TIoQdAAlcSpGlTpxzUFBWGII4TGgPHsyBpDxCB3AqikMYfKiCiB4q4soORSDqHhKID0TMISSolWpAAMCqoyOboghdzo5dzo5fyvUv58YBVq9TLkkR1MOPR25v2rBCudIMBedbiHPzCi9czIzForVqVlIfkIR1UTbKp1c6wRzhMhPAyy+InTpzCcuNCWujUhlpZUqkWzKnzmUfPnH5yOnsI6ezjp3NuZwTYS9ICDdh0/p4krv2mlrGcyEhBhFr+e9d+8kE4IPETwvzoN7tU5KC8Ac+zIPued6DLe+aPr7vjPFvjxvS8a0OT9x2c52wZ8XGYQACLFg0jR0qAGgxkzGMJWY2ZDw2Dic9/fXsFLY4H4kEwGSNIqRN7UDUGPK8gGHPQBfKBJoIzBEwBM++eOcvFx46cfnQqawjp7KOns66cLkA1WZjCCqGiWw4yE0bN2AmSSwiMKK/dx0IBfHuASN0pYmNRevUqFi9agXNQVwj+v7nzcJBRgwcYDbQZvKrVcp49ME7U5LxAkbMHLf2181//vnPYWYvYQ1ERYQQAYBIg/ZAZQOU/teEyPFJG1zq4A7gDjDBqPtdtYsPEDVGHXAUG4CYwBy5PQOygM7C+LzLkpwUSknGIynIqmitjUbwSzQhHBeViiYCUQuYETEDsKRCTFeaMGPConMg/+NgItgIFoePOKweipBGIz7oQgxnqkh4XH6z07M9u71c46qqjlDcMTFj5bAlfNvgmqua33GTwaohJ1gTwVPangNH//pn38HDx/FRAvaIEJ5Fxe+9s/F1V1e18ajGAGHSBlsJMNocatQeMSvbHciHxMZjBX4k348U2GiBH8X1y8f1BSlY3D5QTIEogmB28f+nnEDAIImnhWlwr5eG9Hp5cK+2g3q+BHxwz5eH9G47uJf2Q/q0HdL75cEOQBzaqy0AyJA+rwzp++qIQZ1efemJl597/OXnn2j7whOvvNCqy+vPjBzUsfntDQIeIogzLhmaFOIAIBj1jKhvali9W/vHenRu1bvb00P7tJ06+q3Jo7rf17wxHpVQdmZiNCI8Va9e+90ff+330Mh6ghcPvMlb3ZHEMOcuoQRUneipmfCClbNpaXiCCqEUyhLJzc2LRKLWj7Vpdc+0se9MH99r1JDuHopK/2vMpEDomVxTXQubCrqPicDAhFA73Kf8aOXyaa+/9PCkUW891/r+gCENXg9G8v/sOfT+wo8OHjklutYISYHF3nJD/fEjezz12J0ZaSEmXUaXDnQJ3oV8ITLMYEmsqELp8GsvPPD2Gy/hDQQ+nW2wGKIMISJgODuefuK+kUO7/7Xzn76DJ/ceNK1Hn/E7du6l/1+DZWwK+ATCInCBRIpLRGqKCU1cvEAIgUHGQJIp8UdwrkGgMKiHgmDjYs85cS+Y9Oeuo6OnLPr6x63b/ty/9stfho59/8z5XDZB9UsCKcGdVQdYsbo7/Fij+lcN69/xmSfuKV8mjbGIxWIqDKdx39+0bdeI8QuOnClY/vHPfYbMfG/Bmr0Hjys7EQ0sCcwLPmy3b9vq0YeahYIwY30/euz4ye9+/G3tZ19/uOzjme8tGj3xvUEjpr3db+Lb/Sd+uPqboycusQmpKkkwmJSSWopM6t6DZz9c9W3fIdPe6jOu39ApI8a9N2veslVrvvjh503ZWfrv3hF7MVjdkHc0rtvsljp3Nq3T/NY6zW+vV650GgvKUiyCgdHIBcrIRhHWKaP6xFSyRHrX9s/OmtB7+rieD957ix/Di4fmQozNBEGjiPEIK4GN4Ufj0fy0JPtwixuG9n2t9WP3hNzXBHIN0oeOnl64bN3h42cTxSEmZuwSCQe5WdOGKHLnVx+pXqmEjeGdEO8zlknAZmNivhQUxQqKooDCSLywKJZXGM0riOQXRhNwBY8VFEbBBeQXxgoiMRWOxIuKVAWUwojvuzcNLK3nURo+ahomAqDjrJz8vLwiYtw6ceJqmhcvZuYXRK2G62SIrqpWUfwYKqg0VWLBCpE2diQR6GKL6C0ROkpLlJKwbW3ZUiVSUpIk0chG4/6Zs5lIEAQrDPlIJI5fIeK+ZW2IhUqXSksKG0RDYLuDrrQrngnOYAEbDeeLWCuJXeoCghnQEYZVCeStI1DICAnsQUCYtBfd71AWtY8Oa+MZxoUyiM8Th0+cPnL89OFjpw4dPXnYARAsqOtPoseV5OARRYAfPnoKv86Be/DoafSHj+l/uffkmYvRKJYV3mBcfeAQxEDEhBiBaRSsYfsiMYs6Y7/FC8qXTHnwnhsG9mz7UpsHUlPCkCWn4fuyas2XmVk5+DFk5IDXxw/vMmty/6vrXKW2SBuMW20iyAq3HDzSiSVM/Jg+TEfzbr2hdv+3X2796D349QkK4ho54wQrLixswro1Kg3q+eqwvq+2erBJ2RJhrJuoWV/EZ7EiFtaaNb3u9iY3qAZhWQRHZnbu3/8e3LZjz/6Dx6MxPJSBqckZsU88cnedmhX8GNbfWkSlzvRA/hi0Z0IP1wxLeC3042KRA0wLMWEnJYW9l55t2b3TU+90bt3nredHDug4c3zfbh2fr1wBj76C2IkgyEh6+859677cGIkSNnzA2AALfvJiGCGIETMwABHBGxUrMrYk6w/CSXphRAgKJEVFEVQuWpT/8rP3jR/x5pRxvW9vegNzQp2grxgDSZhx9tUL1sFR1IrF8msaSIctJLDKV1Uu2a1Dq2lje93a+FqwSA1o3nGfvvtx06Kla85duAxJmIAB9KGgeanNQ2OGvXnPHdd5BvX3URD6rzlRtWH96pUyOrV9cPKoN4f173xVlXKIkCRxZvHZ85e27diVjzeKhCLrUL5MiUG9O/Ts9mK1iqV8pCowTggYCSCYCdM+eKvv1CFjP9h78AybgDBuo5xwzQSH/zkmlETYYA84jyxgE64ZJKQYjgSCXAgNE3YMyEGHMBCzgEPEBKFinK5cq5QIOisXrgiemDCBIruD0BgEuGegAJDVrhpV1EUOAXBUhhOoc4VcyYkpr/j6jmQIVwMTwOWA9GJjxY8mB/x33nzFw682UFENwsPort2HM7PyrPUrViiPXAQHgSdWGJ8DLW4VCVcMIhyAZ86cPR/3cS7pFIfncXm8vzHBI5kAMQrtMQOMQYCu3jDLEru/xS1X16lG6oJcUxd79h1j9UK4Vz316J03XFdbleAHOoLUGYYRctCjkmlJ19W96vmnWg7u/cqLTzdPDmCxAcWBQUxFE3aF1LVyLBYGYIyW7fjJc1999+vaz79fueaLRcvWvTtvxeQZi4ePmf3rpm2EOGGCEo0NFIwhRiM3ODqzSjEapsA9YdxK8VZhhA2Bpx7hTWy86K7bGja+sT5TcYMOntS//WEzvhMzSsZM+IMsWT8eaXxTvdIl0l3imnks7n/345ZQUirBvoZBHln2Cx6+79Zr6lQvFmN77vzlL7//PSs3ypCBH6SIijHsosaisShRtw6jGY3TF8bKCqMnS8qyMMcMihhk4RCGBRZygDeQBJLo2eBOJ4JkYZogCDGCeGJmQFA5nYlGUyI9NYhXHORExMzRWDy/oAAOiXRKrvF/fSJk0UsJhFUpQQGmCA7dEyqe0MEMtgR7FRvait4NnUxx9iJi4Ua0gQs9eei+Zo8+1Lxs6ZJEjD+60pAPM2EHNr2lQTgYgAa4yGDfweN9h07vNWR2/1Hzew6aMXrS++fwYVW1mMiWKVWi4XV1bTwqYnEqIUxm0JWN6a7dB3f+e3DfgRM+aiQEF4hLeUSe4dsaN3i7yzPdO7Xq3unJHp2efKvTM41vvNatA2uDe5gjDMxEiuoATFHRLC18JoX57tuvv+vWhnff1qj57dc3v73R3bcDaXRPs0bN7wBc3/wOB7dfD/rdd1x/N4jNbmh+O+B6qNx92w34FIr+zluvv6NJg6Y3X9vkxvpVK5XB9tRFUM/qyXkVFwTh6l+vTpW2zz6A07DVQ3dCsWb1il5xbpBJrD7nF0Y/+uzHxau+tibxwzjoMIctxmhqkEAhNJ0mUgPmgKzNSE8Kh/HQDb5CJBLBScLYsNZ6HqpHXkJFmcWHQalwGCZnxBjDjHrj6QE9KUpWxCakEaiVeIVyaS3vvql6VdxmQBeCAiv/1NlLY6YsmrN4/cCRszZu/QdbR7QM6Czyr1y+7EP33pGRFvbjcURE5HSIMAITeBMplZ70ynP34eeIrh3aVCyPX/IpsbJEhGeyv3fti+MsgjvVF5wfd95+c5cOL7a85/bzlzIPHD2dVxBh1yAPm4RSIQAMWAOclISHGPyaWiTxonisCB4JdE1NgNh4NFqQHSvKjhZmxwqz/XgBTifQidQSJFAKP1oQi+bZWIHYCGkM6ozYCyRl/PDbrnHTlw+bsGDy7NU7/z3lBVNYG/SIcD4QGmNvEPIBQQNDMAhBQTRISEOGhLgwGl/35S9jJi3affCsF0qlYPLRU9kLV3zzzoAp02YvPX8pGzIQdQqqHo/HTxw/FY3FEHC9a6o/8WiLpHAgNTWlRIkSFSuVb9Dgmvvvu7N9u2eG9Os0tG+HAT1f7t/jhX7dn+/71rMK3Z/r9/aLA3u+MrRfhyH9u3Tr8tITj957Y6P65cuVzUhPv+2WG7p2eCFgEKqlRKHEpoR5WL/Xhvd7bVif1wb3enVQr7YN6lUniRvUCUD/p2HKyJjdpmJk6WIGRXBXSgqblLAJ4qMiGAQiAHyYQQ8AiaqUL3HP7dd1avvQhGFdBvVsd3vjBgHPsbSGQkRnLmTPWbh22tw1PQdOWff5z0XRxGdjgRALGZIqFUq99tJjowd3eOz+W4ImJnr/tdiNsVhs7ac/vPnOyG5vj3jz7WFvOHizx9CuPYZ17a7wRo8RXXuMeKPHyK7vDO/ac+Qb7yh0e2cEVN58Z0S3d4Z3e3vEG28Pf/Pt4TNnL7544QLZOErkeewe3BGbRQxY2YKCwsJC7BZCeqCKtYVFRTm5hdaK/oFEVL58KZyn5OpA/zVMsbyaKVRRR8EBpmCmKO4lzMYQcclSJXCjT3CJyPdtdk4+EVgASoSRl58fx5MdMxGA0lKTA3jiAKr3X0JjxgQjuVGAMTYjvCMMTEjXxTAbJmZWQqIXQiKCvYFstIcigiNIwDd6SEIEAmAYRjOwxMZcyiqa9t5HvQfN6DV4Rq9Bs3oPmdVHYXafIbP7DJ3Ve9i7vYe+12fYnH7D5/Qf+X7/EfMHjJw/YPT8gaMXDBo9f/CYeYNHzx00au6gke+NnbLoP+MIPgAAEABJREFU+MnzgjjhiQgO0DkgIudfeUISr16pVKNrqja/7dqXWzcf1ueVyaM6D3j7lQfuaYLPU9gqpA2iZvvOvR99+lNKcvKDLZre0fjamxpdfd01NUOJWxu8FFcDpSnOhuEEX6Ci+RLLv7ZOxQHvvDxiQPv7mt8SwhYXnPFgwzQXFUWj+mpEBlGBxgTFoMe3Nb62Z7cXhvZ99bbGdcXiwhKDE1Iux6IFLe6+BRteKWqDt+/c93a/SajJwNHz3x40bej494rvqgw2lSmdflOjuj7uqpZ0rZWGQ3k5+YXf/rjp25+3bN3xL8JAngDw1DJWDfljLvjMLc880fzV5x96uc2DTz58122NrytXJsMQ3vPBhjijWaKduw9Oe2/VMf3/ENI9xMQMJmH/CmszbkYgM9AEj8igYETJySHsPUjRlZaamuwZsTYej8XwjgN3RL4aYyfBMEOMXWbRRPD4LELsqMYQOxl0uNlgTQDWYrP58VjliiXvbd64POJngjhEmIGZzdv+HTN50XsL1w8dPRuv8XylkSBN/8br6jxw7+2GYUSYoFjMBqZAaH71KmUfvv9W/JyF5cNcgREJZ+UWzJy7ovfgqXh9unA5hxAervMkItaQXF27RlFRgfU1ARhFgugtccx6lpNjErIUIPgQ7TAyMaGxGxALYwJzjAO7ipQMAwQ7SJrdQRAjYsOExkx4SgUCwPpCgoXQwz7hAIChgNiUQLColQWDSZslpViCMmgEp0jSIh2g6FmdsUAGW5rQcL0znCAKRAxIsKc9Ceke0poCQzkkwWBCkASuqJpYP1qU063Lc9deXQNxMjQBQpFobM267z0vhLwySqQzGuiqyrGYzcstYII4XPpkwbAIlD0vKzvHWoTETMRoRkqVKuVQo3NyZMF+gxKCwtqL9WPX1q784jMPlUxPYzZEBD1hhve4sN7DSKpWKPnko3dhZaFP4EGCmSwsoCTFvbCP18caVct1ff2pV196IF6Uhxwdj9Bbp0Ug6QGfeX4kW6LZEsuReLYfy9u0aVv/QePGTZj14dI1W7bszMkt2rnryOLlX+3Ze4T4ymqQMJGBaxghYkQLIGZO0Bg8UllGj0URzBmbGmDh2WIb+tFqlUq89OwD5cuWINRA5ViIv//599Pnc0wgBFts9NcqYzwmTksJ3XBdndSUJAi65eN9B48eOXaWTYigJqg/iY2VSQ8+//TDnmFMiLTb+ueejVt3k4dfANhJgQx/gsEiFmI2hrFgjAtd4MKl/JlzV70zYFKPfuN79B7fvc/Yt3qNeavX6O69x3XvM/6tXuOKoee47r3Hv9VnfPc+ExyMe7v/xJ79J/UcMOmdAZN79J8yY84KzwtqCgynWivCtiAmeMY21MoQKduQ9atWKW/YzZiJKBqL5eTlM7LmRNOdoOGCB0BmBGPAAIYZXGipF8ggQVC1FkSgUnFDwQDwDU1lGhcAQ1fDIzcjOCPoQxCaiBY4OISJHoYEA5R9G6lSqTRwQtPMePHyz37avOfw6fwT5wv2H8/57Jvf1332LaTVIDHeB8qWKWkMXJPoG5UahCrg4qXclzoMevWNMT0Hz87D26XGQ3yFj0XEg2CX157u+MoTHV95vOMrrV5/udX1Da5Bzp4xHu7jBs0z7EFDtRjRMBosg0LIyor1fevHWdS7IwJjh4DiRoEWcPTImcRaFAADYiURFw0GIYI5JeBAKVSG0Ax4VGyGyKiYypFEo1EsFBOYYiCtcggcrkEjyya3IDJxxuLJs1dn5lovEDb6HzOGvif4CkMoFqMRGqu8Owyxs2CEma3YjPSUcCiI0CEFqHlVtYbX1maJivWZIAKaJE72xISUWhwKg+kAc4vTAOE5jLUGjFXWXODNIAnEb41Wm2EBSrgUHT99oUO3Ebv2nyMv4599Z97oOWr2/OVFcb0OQRdVyC0oXL5q/dHjZ3G3cQVBCKyhgsewz1a/W2U8+djdt9x8bQrehplUgtX8hUs5I8bO6dxjxJrPftD9YgyiUC5JtcoVOrZ7ulvnF1OSk0BORA0d7E3tdUAaCCEe8uKP3HvLEw82afPEXQ+1vC01KZlQdTYEP8TPP33/6EHtRg56Ff2YIe2njutTMiOFVJ3QkHPD+nXe7vpctw5PvNn+sScfvhUfGBAAVNEzvs0Fky/nxo6fzc8uJA4kMR4f9FaH3ETrV2yHicl4xhiPoGbIGPVOBPOQZJQxM6dg0KhZwyd8cPhElnBIiH0UywSivnfw2OV5H3713Ku9P/nsR7yPCXjMZPjo8VP7Dx8j8vDNp1rlso8+eNfdd9xyf4tmjz3Sss2TDz/f+pFnn3yozRP3tXni3jZP3KPQqvmzrZo/1+qe555s8dxTLZ998h787PlsqxZtWrWEzLNPPfDCM4+0afXAQ/fd+cgDd+IrlWd8ElwWRash4rGtXqVC1YrlqlQsW6VCuUrlyiSH8JHFWiY0ZjcAI4RmMDNsjOeBAJxQcCwFoRyCzA2Bxq6DJBCLuU6J8AGXffwee9e4oR27tW99z+03li2dAb3EWqKHdE5+5MOVX33z819RSd1z8MKICYtGjn//7MVMaBMaM8RIJOwFbml09aBe7fr2eKF0iSTfj1Uom9q82Y11aldLSUkLJ6eEk12flJqcmpaSmp6algFISU1LTU1LSk5JTk4FJCVjvySHk7Axk8Kh5FAoKRAMJwCXMuzYsmVSmKzHuLglfiSBZz0rcdZHYxEmrCKjgsR4F/ILC4tE2PpiRazVf/prrTgZQhPwmAnxEwqlCCWqBRtOCiwmlJSJmJjxXo2eIAxFlbEFRUWoujHoPFQf3Ah+24rHOSEjFArhcYARIpxoVFB2AAGIOBShgYPHJ4FJxqGA0MAUHIjMMAEYJkiYKaGoRRfVVQrDM64VZAjhMmFUqrXxgkhRwZFjZ3bvP7nnwJk9h07vO3Rm7+Gz+wBHzu8/cv6AwrkDR87tP3oOxP1Hzuw7cnrfodN7D53ai/7AqT0HTu7Zd/zfvcd37z2Sn58jEhPB5lHnRJZYQQRxIjhsOMlI9ubP7D13yjsTh3fq+eZzzzx+1y3XX12+XIaLn9gwGhI4fubC3EXrTp3HN3RCdQh1ZyZyZtUSDJIehhgbFLUxxlr/sQfu6PXmsx/OHTp/1uAXn76/RtUKCV2Crrsyn7+cPWzcu70GTTpx5pKFM4JNQpiCmElKZ6S0vPPGqWO6D+//Wqk00GMCPovvx6tULg/nlGhCk2Ys3Pr3saNncVctPHQy77Ovfv/ks++IGI2IwsFg+bJlyGJD4UDWoCkPx5HjZ/Dpc8CoubPmrc0vhHlDuhbonYymZKEQjUXJ6lZDrrijGSMAj4hJG7xYMt//8kf3vpP/2XeaTZLnzmuLnUwGFSdWQSQFafhghn2lYMqsCOYpScES6amuPkomkeZ3Nq5QJs3G9LMgOQYjNrqSNwwRpHDPRl7iqIjOORFCM65HJ9qQuBU/JtaPRiOxmA9tqEGMsV5kvvtpW/e+Ey7mSIwyft16sG3H/pu37RbExsSMw+TkF+HRJW6BY65EDADDZHA26VWdEQ42gYhucko0pqKIP3jU7I+/3Hz6cnzVug1PPvfGL5v+iqMyFvc1jvv86Rff41ukIAEUWmADBxHyVet4y3JlBo7csXuVKcoVJiWiAoQGe4wGInYPaLpWBBuEThfAEgy7jgkk2EQviuJICKu0CGhU3LAoao/IGkMwDk1ESEyGEwdQuAIOsiEiBKE8VhuGlAIVRVA1UiIzIzz4EAzu7YzZE4IUoxGxwbYSOGVmqAOs2LiNFz58b5MnH7nbQJAIhWI1Qx+t+2n/4dNeMEgGl60QE5HbAMQUj+GbgnWB0JUGbYb9/MK4RZqAYoZJSg3DJcEjtoIhZtZ4Calp0CK2RKrX6bUn6tWtxnq++9BD7P/uPfLNT1uFQ0S4H0XuvvP66lVxekOFEaFow/7HXlCKIElG0EoFG3v9jdefuf+eGyVeRDjVWRBZMdsFd2PD+kN7vTa8X9uxg1+fNrLrnIk9P5w3fN3q2d9/veLXH9d+uW7Ru9OHd3+jbb16V4sJW4RMaIKDHG48j8gw0kEoOA8MIxsmZoMrExEVj5o1GOSorLmRxFICglv+bbdcj1ohLHLtcmbO4uXrA6F0YlZx9OwRB0ikZvUKtWtVI9fYGdn0+99FUVFJTBkO/FhRdp93Xs9Ix3MV5BiszOyCRUs/R/WYSawWClQCA3rQQJ2YMCXFYxmpgaCx/+za99tv2/Aj3i8bt/y6eevG3//Y+Pv2Xzdv/3XTHxs2bd2w8Y8Nm3f8gunmHb9u2rFh03Zl/b7jl01/gPjL5h2//v7nxt937D1wsERGKCmkbpk91qZLTgb+AcTOJbp4LHJtvZqYIhYRXZWCgggeN1EWcC0OhUQJSbDAwogdI8givlKAkQo4XDCDNfQqA4yRud7yHRdkgm9BxVFVhhNEBYu6KKKqesAB4cSBoKoqhdAUtzDmecGsHLwYgQSWkFA4JSkQ8JAkMSxSMOCFwyEVhwiBL9b3yaqwj965cRwSNvkxL2JTivwQ4WUY1lXNBS2GiE2A8JUxGAqgDwU9fWhIFJC0MRMbYtc80IVYyQQCMemmQCaYWNJTlJkI1tETmtaLhEBBhBqSVgCChCmkNC0nqSwVgqhTIfRgai/wAJZAHH5wBugZpvrg20g0qih4MKhKDGlfqCASO38599MvNzz2dLdlH2+IUxKbgFjKzC769MufP/16w2dfbfjp1y0Ew+SaCwBrB312RE48yYhfulRGcnIy+OCKcDjkdXr9aU8KIzF8WUe8BJXEeUikOCMSg1ViIHSlYWKxPhYbCQBL6H1CQFgpFzZIBOvIEurCeYWR7zdsxxvyiXOFXiiFPI+9pKhNmfruyl79xrp/OG3illav/fbTr34TkxTDkgtZa0Wwl9WzQQywiKlYzzOshUO0ABLyLmUX9B82fcvO43mxtKFj3h839YPsvAJx4bPKWkty7vylosLin6lFhAg2GD1QnYpPfrxURnD4oFdHDGg3rH/7Nk/el5ISFmxzsAXy9vYmNzz/1EPPP3H/c/pacl+bJx/CpiUkiAO94KWufPfOz3Xv8HS3Dk/jLSUeLQKHyRAAJdNIgmwAHghEWFsjWiLwMGGdE7nMhJgSDZEDQQiF0dipc5cXLPn0nkfar/tme0TC4gWEIYflQg8pQybom+STF6L9R87p1mvcrn1HiyJxEdqz78jR4xeMF2CIGJTfS7SAMfqtyOOARwGWoKEAwKOgZ4IBxwpw0LAjcsCToMdYuoDrHWI8wwAiLDxuPUJoTORhUUQTIYcQYUfrVYq0IRcd3OHBFjMsBBiN9CAjDDXXsU2Un4xHoJNx5yRsqiQTWxvHY1N6alI46Bmj+8NZZe3Z5BREF634etHKr6I2QF5AvHBRLLBq3S+vdRmy6Y9/CvVfXAs8MsT1piol0pJsLFZYWCTx6MP3NZ0+vvvMib1mTu4za8qA2aE2kUoAABAASURBVFMGzp4y6N1p6Ae+O3XArKn9Z1+B96YPeG+qEt+d0h9i4M6eOnD2tAGzpw16b8bguTMGvz9zyLxZg9+fPvD+FrexYZQsFAoSnGqUmmnc14ascDUBjZ2Qtb7+CTIECHtg4nQQCBBr2MVlZMK2YZwXLLBAmBrtUAuVJE2OiJNS8VGA0BjS8EkU9+OGmSAAy6w61qp97DdYRs/68GMsHAJIG+g66AFF9aYorDHWW92LWItg4dupwBWokFGEsVgWsrpThFQfE4QMGiEdPLIzzBBDQ+KRvPenDfx0+bhPloxds3j0qoUjViwYtmze0GXvD1kKmDt46fuDl80ZtGLekBXzh6ycN2TFvMHL5w1eAWT+0BWABcNWfjB85cKRKxaOWvHBqBULx6xaNO6NDq3T8PSA0xy1Ur+MvYTYkDOSReSxSGHZEmml0lPSU5KSw0EPm5JxZqkI6iSMrOjY6QuTZiz9dcsect84GI2w7RA1MJXQ8ElvQoYckTwmE4sWdOv8TOd2T9x6c/3ypdLwDkukXNEK4Kzh7Lyihcu+Wv/dX9//tv++Vl2nv7f87IWseNwnJrWLQ8gwlUpPfu7JlssXT6hYoaQBkY3xvIKiiBCTazhZMjIyDLY6pswg4yxOTU1WP7gK6ODH43Fkj5JjBgH04mpifcqPmIIozpGQT0ELdbLgkgpZUXX0NhqP+riagiGC8rBr5OHqLfhl7I+d+zr2GN3x7QmX8pgDyShaKJSy/puNcz74aN6Hnyxc9smJU+dECErkGkJkRqmIGXMGC46SkwKlSqQprhUFnapVrXjv3U3Ej2J7QZRxAmARlaNxEKPH6iAtF5IhwwBDHpMzbtUOuIgfscOGDy8kNh6Nx6IxApvIt3TuUvbs+R/1Gjy9yE/mQAp7QRNIyylMatd18Icr1xcWRYm5KBobMe7d3ftPGy+JYJLQLDNjYGOMR0xwzvAkVyKEFC41O3cfbvNqr69/+ssLZgSCKSaQfiHLb//GwGmzFl28nGOFL2XlLl31eQA3R0YjIkvMcEEoBKFEHkgKOsU6wwuhvErBYREA/DhZt5uduoDDsOMGUUTQiAT1A00gDmv40JFwBLoRRAKWEhhiFjjAkKsjEy4HukjQZ2bIqy1Cg3tEi7CISWNhRAzzRIRSqJyQijIZgYQQJtCHlgLUcNpoZIwGHmHQKblUECIQ0Gy84TVVO7z6VOmS6SqkBxObP/85MH3uqmBShrBHuAkgK2XhcDZQKGSiMYDCzOiJCSPH8cShoShFD4gLMyvKJBgZrygizEyMrSRBE+vQ9vH7WtyG6KHHzBDFh/+Fyz4/fS5HkKofz0gL3dDgavfbjkCMiAmbJhL/a9fhb37c8vm3G3/b8vf5S9kEgy5nJuxSGdSrPb7wke4YRqNEY2Kiq6pVfuXFJ55/6sGnHm35yP13tbi76W03N6hft3qlsiVSwsZjfLqzhrRQDHHhhGqitwhBMXAxCK68WgmgKknIDCiSRpy6qE7aCsJiWJFo/iP3Nn75WfwABb4uEYRz8wsXrfh8/9GLQh7uTqT2mdkYRj62ds1KNatVwhySsJ6TV/TXrgORmBAEDPxYGy+6s2mDB1o0RXlVhhARrfj4G3wwY6NvqgJZAVPImcYAMQQDayK2qCBr7owBqxaP/ejDiR8tnbZm6cw1y2etWTpr9ZIZqz6cvvrDKYA1S6Z9vGTKxx9OXrNkyurFk1Z/OPmjDyevWjx55eJJKxdOXLFw/IoPxq/8YPzqheNXfzBmxfwRTz9xdziAU0tcwwO/EHJFHJgTcBJr/VjBTY2uQSQOEI7k5hWePHUBSRM2HBt2jP/bIQcGlYmZNZdE3SHJ7OYCJ5DHhCFCBI5hZiDwibSFDOZgsWuIhAQYobFBB44QxEnEmceiYUTMwtayCYT/3LnXYi3JCRO99kKrpx+5rUHdMtdUT29Qt9zzT7Vo9di9sKMaRAUFRSdOnvUtbLGPa2OxKVEHRIwBQDgQk2FyzuCZsa9QMYJ4Ij/FNCDwhBgzBC2szTOGDY4rckpTPhGzgT0TzMrMy8zKu5yVk5mdi0vh5azcrMzczKzcy1k5l7Nyc3LznVG4cqOlokgsOzs/K7sgM7sgKzsP75bZOYXZOQXZuYW5uQW5eUWRiE9CiSZ6Pba628S31hdriUx+fjQak6LCWE5O/tkLmQePnt72577Pv9k0eebSl9oP7DV4xrnMaDCcSqijH7MSz8yNDhz5Xv/hs3sPmdlv2DRfY1EPwjj9iD3kYYgTDRMvHAyUL1sqHA44EriCVv+aWve3bHb6zPkz5y+dOXfx/MXLiYIhTnARrwdzGAAgOVC6HggEi4vYLbyKxZ8QlswSssEzflE0fvzUhQ2bd46Z8mH/EXMv5xoTTFHjzhSbQChc8puftvUfMnXHroO/bt45493lwXAJxomLG4AQgkQnpLngoZyYQPF9C88uCnQGt8A//tr7Vu+Jm3YcMUkZ1oQDyWUXrvi654BJf+85GIuj4FAy27bv/mT9z4yLE0OLyOCiD8PCDJugCDBELX40wGRAxJISGicaMIE4kgRolqJjMYUgi5AYJoDimcViB+oEQv8B5LlYHjQiq1cfaIGOHhztMRATGSKPGBCIxuylSzl79h///pftU2cvf7nDoAkzVkRsihdMYQoQsTARCaNnQ8YzJkCeZ4IhL6nkL1sPtus6cuaCjzdu3bV5278FRXhnx2JBFPY1G3iE8hUQPCEKE6PBLHgqwrDtiKAjS8QM8WKeYiTEZAWoJ5DDCMC5oxSHoUN8wmw8Ity6YJrJNViBNk5BnbmSCJiiGFhMCJJJdCl83zIxGhHrzZpgDmIAYoiIMAHB7YKZoaUT35d9h09Onrns3fkf+9ZYG5N4xMYjOM28UOqB41ntu42cOW/VoaOnsZuYmFzLzMz98+/9eQVRhGzjMQP35OKwApxFl5Xc4rop/AqLAoFlrfYkZH3G1NGdmN4KUbiAcUbIMAeYi10iUyFoWBu3aHjdZyJhZqNr6QU8JhRNzRQWxFmTRbEFEoiXmdE7C0KKJ3rQQGdiOCKCChDDHjNdacwMOowaFtDUgiRsInAinF6sZxwqI1gRAAYSSCYAfIgDR4+cfcRtBYVFDoIi4DKWkEVvGQI66qFLB1l4EshBWW0y7DAZ49JlhKX+4SFe/+oq115d7bqrqze4+qpG19S4oX7NG+rXuv7aBNS8vn7NRvVrNqh3FQSuu0Zlrq1b7do6VevXrlIPUKvyNbUq16tVpX6dqtfVrdZAjVSrVrFkEK+EFgUkgXeNA9FhsRQThITgEScVc0mbm7OxwpmXc3/e+Fe/oTO/+nE73iLYeELm7PlLZy8ALp4+e76oKAYN0RRYzcMqcAYN5cYTEeYApCZohKrCEbEV79CxM9PeW71k9XcmlOGF0ky4zKwPPn/tjREr1/5w7NR5HxpEZNgYLChMyZnT5y5evMRkmAJJSalbt/1DBE8EnhEe2LtD64dvvfnayg3qlG18XZWObR976vF7tdKkLa8gcujoCcbJqEEgHiQLYCI8efqojQjWX6caHSERuYJYawV2cKfKL4jlF0RxO7twMfvIifN/7z78y6adC1d8+Vafye3eGPnLln0paWVgUAR7Oh5KSl7/1Zbpcz6ZNHP1sLHzt+z4V9jAEMBZhiAAHhGGFRHr++FQsFTJEuBie7I70D/+WPPU5PDps5n7D53cve8Ibq+qhpwBimEPeZ5hjwgd4zJgUBDwFIgUdx0zU8AYMI0JIDffSl5BZO+h4x9/seHt/lNmf7A+SiliAsTWCnJFPQJesNTUWaumvbv84NEzcxeu/fzbrcFQKjND1yJKMYmNI5B1WTF2urAvXBiJnz57acv2vTPnfdTxrdH7j2YFkzJYvRMaeyHjpc9ftG7Y6Fnb/9oz870Pi6KeFwgb47Fh0hgZlwKUi7Vi7t4OHyxEOD19oFgO+GS27hpEBBZDgx1GRAaHiwi1ZYIQJBjnPTNsQFBYLek5ypT4E2bokM4QAuOKRdpgCJkStGAGBIGAeia1iTnsE0iqC7KiROpYSEegOkBV5yC5mThdgQ67pvQrfBGcmaIzIBaWBNfu8mXDXV9/8rprakAFwuiht//Q8UmzlhTFPYtbJgQtRSIRtQ8JREQUDKCmxqECujMKHlQ5GPQYVjAjstaCFYnEGVVTaoIhuhhsUAuPYu2ef6DtC496hCoqYCwoin7y2Y8//7bTolLiWz9aoWx69arlRRAKu6oQHlAWr/qi1+Bpb/ef2mvg9HcGTBk5fs7Rk+eE2HCxl/JlS9zfoqmPn4yZWWNl+l+DqStAyoNxnJcwDsQRIMxaR60zHBOpFCbAoWjFQtCqituXBA9EYCdGoAAhV2WxCJoJeeTed/cN73Rrm5IcZhJIAqJx+8Mv29d+/mthBBtejYrKk8GzFEtqcuDGBnVSU8JqGhaZDh4+cfTEeWEPxRIYEb90eqjDq096LOBDTIj37D/24YovAuEUIYs0xPqGCIg7hAhfBOEEe92CJTZWo2rZGlXK16xWodZVlWpfValOjcp1alSpW7Nq3VrVrq5V3UG1q2v/B6A4vFbVqyFTs1qdmtUgDJXaqli5bs3KVcqXCiAgdQVvDhRHuhg0UIlHrq1TrUb1ygjYsVF4OnchEx/DSKO0gkbKhAJGZka+QCDHIGMRMEnwSAeBloADUB60AeCwNowCJQB4AhOY6QR0WIEKg0bMy1Z/vuDDT44ePw0qQC3oUHywCe7YdWD/kRPEpFaZqlUpN+Cd16aO6j5hWNfpY3v26PJyqRIZRExoQidPX9y2Y4/xgnAFAqgONH1KhOrCAJfZEDMZ0l4RTjTSBiWCoOiJzb4lXDJ0V0G6WEv34BV5CDIx1JjYyynwR035cNSkhSMnLhw5aeHoSQvHTF6sMGXRqMkLR0yYN+eDlXEf9YC8Aoq+5Y9/Rk18f/TkhWOmLhoz9cMxU5eMnfbh2GlLx01fOm7a8vHTV2zcuifmIx7UBr6ghV5xcecDEf+799i0uasmzlw2euri4RMWDBo9r/fQWQOGz1684ssjx8/hqo/fFlJDUiotWK5kUrnSKeVKp5UuXSI5JTUUSsovsKvXfffpV7989tWvn37167qvfjt4+DR7uJ4w8iFtkpGWUrFc6SvnOEish1CnDi9v3PznsHHzh4x9f+L0hdjcgsxwgA0wEPtvgphBwppbHER+Ymu5FFADAIT59Pns5R9/P3HW8mHjFwwYOe+TL7cUxoMcCFmLK1I8Hi2KRQvi0UJro2wCW7bvGj9l7ugJc6NxnOd4R7OXs/I2bvv3l81///r73xu37tr2177c/KhxS4Y44ANBxK3sOXBs/pJPB46c++e/p0wozdFF2Asmlfpt64Gho+d+88PvuNadOX959vw1Ofk+4TaGYpCGjCjJNYEtrAm2hdWGvF1e2FlgS6IBYy7WYG0giN6yGLICBuPAXQx2FAM3AWoMNBVSQ4kRBPVXyszbAAAQAElEQVSJA55Ft6QbSbceMCKPjWdM8NjJi7PnfzRy0oJ+I2b3Gjxz0crvTl8oDITSUDFGI/gVo5c7VQLBGGZD6DAAguEU1PyDpV8NGbtg49a9bIKCFSO+nJm3eduuLdv+2br9Xwe70G9xODYw4PjJM6QNJhVisfjuvYc3b/l789adG7f89dvmv34FbNrxy2b8Pv/nho1/bdyyiyjErraqQGQItWG1QYQeRQoEPCBKB1lQBwAKADmDAfsNZ5LV9cMM6eAxJfrzxu3LPvpmxcc//LPnhOEA1LEkgqSBqQgM6TqqUrExnNwkZM6cy1y17ochY+atWruhbNnSLe+6vsXt9e++tV7z265tenOdMqUzAvji7mWgMkPHzv3yu425BUXEsMYnTl/4d88xzwQ1TgIFnooBq5fAmJUuCMBFU0x0A2QA5AQcQcMC4mQdmdntYS8aizMzMZgk2HgOA4KLEfJjg+UPhJNCuIl5njFM2FkF+UUgQ4lUWAXVF9Il18CAbWZWrtEBh+I6EHEkEsWMXSNSNBhESRGa4BnB4t3U+oEAXgLdgyNCEonH9eWBDBOa6zDCqaDqYtHQKYhvBecsrmu+tUCYmFWSBLkIqkQggILdZwktQQKT8STDSM/lZZwgESNXEfF1CkkigipA5+6BQYp3jxIcLtYKbIs2QhO4BbNYjBnhWmZr4IFgMQEooManE+gCVW3MoE+sjaBHUMOd6MzFdV9uGDttce8hs3fsOmHwtYjANHEJjZz4wfDxC4aNmzdg2LT9B4+ovh4EPmlj7XC4iFj7YgrjlBC6cCln7Re/DBkzf9lH31p8KY5H/XiR2HggmHLoRBa+qgwZO3fV2u8yc/ITBqFFxGvWfmclQCgUUyCU+t3PW0+eOk+GXaOrqpYf3Oe16WN7TBvz1uxJfbq8/kxaSlJCXYiPHD+7Zfs+zwRRCcFqIByAq5aPZlFLdy6K/a8eCQTGSRvuod4Hy74YN2Pp6KmLhk9cMGTsvL7D33970MyJs1Zu2r4vbgPJoVB6kilTIlS+ZFL5UkllSyaXKZWemp4WDCeFk9K2/bX3qx824fvaNz/98fWPf/y0cadBMLAsLghR7yXSU8uUKUUuaHgnNKHaNare0/y2j9b9PGTMB30Gz/h18w6wEoDVI2LGZZPZwwnmMKw2s8uNURqdERpwg9J5ZALsBc9dyl+x9vvxM5YMHDV3xIRFO3adNB5eoozYWDxaECvKjRfl2Fg+Cy6BsubT70eOn7No6aeeF4zFikTiZ89d2Lf/6L4Dx/YdOrbv4PFDR8/EfaMu2Zw6m7X0o+8mzFw2bPz8vsPeW7D02+wCw15IJIav5H40j/3CoBdPTvJSklM2bt4xesJ767/aoPFa//SZiz9u2Pb195u+/H7zF99v+uaHzdk5BdYiV5yWuIIrwtjdKBhWUUEx9YsNps85yFNIbTkhwlZzFCAEtkAaB7mnayIDHlFCMlFIJYhKwIniOHBO4oRhYGq2WNpNVQ5k2MYUWsIMBBRYhH6xlihfQCUBF6A4eKJ7EF4hTIymEomDcdaC4QsS960fk2ju252fu+v2GwIeQ0LzYD51/tKchR/v2nuSdQ+pKJHR/1KTeoGUQiBg0lNTiBXHwSwM3B1pqWFmTEAGKJKbi59jXUWY2elg0OTjhW1a3dPh1dZJQQMKsTYh/mXz34uWf5lTECd9Gxbrx0ukp5QtUxosQtnhTOiXjX8uXv7l8dM5YpIokIZz+csftg8eMTMWx3JyogWMue2Whky4emoNBeE4ACLsMNcJmsVZC7Kbu46ZmLGv2c2KWZgwMSkI6yjoiIgNSECZmRwwuSZklENQx1ttwe03X9O/V4fSpfD7IeLBOoBO/+4/8u6Cj3HOsH6l0FDAgDYwJpuW4t1yUwOiYoO+ME6M02cyiVE/UIVt0aMP3HZdvVqkXojcPWn6zPkXLl7Iz71UCMi7jIdCbAV1pgdDMFJYEC3MieRnRQtyUV/GtoA/F9QVOxBFdtpfoRDBIaE5IoQFK4FgLQ6lCrYeMWyhw34wjk2YEBHDCKsXyCAWv7Aw+7WXnwgFPCJiZnRWeOeu/TGsFUQhQu5MUi90pUGMSDs9SLXo/zQBldVFIpxiDhtsLSwCEwE0SbBZbZOuOaisDII7ohVrvp23+NMDh086/6ApIARrcZ3AvZPPXSxYuvIrPEazNniUcChQuWJZvJRWLF8aDxZCVuAAqxDnD1d+ceTkBfICICV8oHAOEYI6yoVoiQS4CWza+s+PG/744edt3/645asftn71/dYvv9vyxXe/f/7d5s/Rf7t5/bebPv1q4/qvN3/x7eYfftp24NDJOKKCBYEJjROH6ImPORMxsYn45ssf/vrix51f/rTzq5/+/urnf775+Z+vN/zz9U8Ofv7rxw3b8fLGVxoyPXT09Prvtn3x41+ff7/z8x/+Xv/9X4BPv/9z3bfb1327be3XW/YdPod0YJ1cgwqgGIV3NkdPZy5Y/u3ST3759OvtP23a9/ee42fOZ+EjH3467tjuyeEDO08e8/bUsT0mj3lz0qg3Jo/oOmlUt6mje0we1X1Qr3ZPPdbiozVfjZ20YNy0JROmr54046Otfx3xPHxoYEGmTLgYlSmVelW1//4fTuRK8lK3zlXX1q/3w2//bNhy4Lct/2LBEBUyQ09YEugyK65HMQIyIXrB474kGqRUWCyeoc5cyF+57rdln2zYtONwToF4wWQIx4vyghxpcHWl1o/d2r3jk8P7v4bIZ0zsM3vq4PavPPNW15cG9W7X/uUHH2xxi2d4/NT5Q8e8N2LCB8MnLho2buGhYxfIBJm5IBL/98DRNet/HDRqVt9hsxau+O7E+TwK4jaGiLAtBPGxCZhAyt7DFyfMWP7+4k9HTli4/9C5QCBo2Pg+YdUUIMv4pgdxhI/ANWndFKiKpnnlMBAg+CXUkBQHosDAcYU1zEwAYtKGGuDUNeKmQnjIowRTewtCXHDj0P9Ggo8JpKHGKsJOm5lhEMDEfODgsXmLPv70y1//3n0oN7/Ij/vRSEGkMDdagCtPVqQgK5KfGS3IjhSgT1CyowU5oCgUZkcKs2ORPBv3z2APZWVZP0riM3t7D50dNHLO2CkLZr63ZNYcwNKZc5YA137O0lnvffjbxm0iCIdxAM5fuLhkxccz5nz47rwVcxasen/h6vmLPvrgwzWLl639cPmn099d+d6CdZZCxsPqIHIAFLHloHoFmIznEROuJ8RI2llnwvYzHi4vZFFbwQYBAiJA8guL1n3527S566a9v/6Pv46aQAjCKoHTBNoqnIiRsd1gU9xSHj5+dv6Sz3oPmzVt7tpde09xIFS3ZoUhvV8d2ve14YD+r7/T9dmra1cmhMBBDqb/8c/JcdOWTpzx4ZkLmTFrd+G3sDOXECQATjRARMvMhomZEOQVAE5wSUakmA4KOznQhQ2mAEnI4xQhiOFgHNb6eHESpECuMYVDaHjPIfhlZsMcCgXS0lIMcGxZQ55HWTm5XjBkjAciwwwO1QaGARPGoMBoRhE9QFQAKSc3j0RJ7rAwkpyUZK0Va3EIqkqSkpIUCOBJ1MkxFxXFfF8MUkCsxPhzuqQKOAQnko9PI2zxCgRAPglFgruEpEAxQWNWCrNa0+KTpmWM5zEXczD8b8+wU3SqrlNlPf7vhBkqhINdU0y3iBODYzAU1YMZTKgyYcQpK4xJsSyiZgvxBOAEFWZfOCuvCJsB36yHjpv7zsBpE2as/Py7P/OLPPaSCIvOGioHkn7cuPv7jXt/2Lj36x//uJiZw7BPrjkHOmM0cvuBElPFjTl9LmvZR1/3HTpz0qxVO3cf6dn9pbc6PfFm+4e7vf7IG+0fbd6sAQoQtaHNOw5Pn7Om16ApP238A5+VEd7xU+d//OUP4iACJg0+cPpc/gfLPs3OLYADOEMMQY/Lls6oWqlsibRkwww6abYMmRlzVl68VECMBgMWdLCVqQcoiBsEwBUORoI46OhxWcMZGkSyKz/99ZMvt377y66tO48cOn4W5/7tt97Qvu2jw/q9Nm1Mt+lj35g8suvEEV0mDe86edQbU0Z3mzb2rbFDOr3R4anc7LypsxaNm/zBpJkrJ81es2DpV7hQs+4LYrhl8gxXqVQ2JTms0QhWQxyZjOHOHV44dfb8rn0n/z1w8lJmnmhQ0AIfPZFbFwxKhi1GA51BIca+M7DAStBORy9w5mLB8k9+WfP5pj2HzouX4gXDYuM2llexTPjeZg07vPzgoN5tJ47oOn3c23hrnTymd9vnHx83/O2RAzt279jq6cfvOn3qHN6xew6e2nfYu3jhnDTrI/1ZhNl43qlzOSvW/rp83a8bthw8nxnx8JZlI2UyAvjc0/7lB4b1bTdtXI9Zk/rMntx39tR+704f8k63V8eP7Dm07+uvv/xoSnLSnPkrRk1YMG4qPtGumDhr1bmL+e7Sh073KjISVEWw/AAQGacUFpDBIHQApWN7KEEPR8HSEUHUHUTE+IOWwBREnQZhXwt2GZgof/GjKREZHBBFb4W1AUOZcQfFFFc3TsxRZg9iuBhgzkpUF+7aAjJ2D6sD+FCy23wQAk2pSMNFAkFEoBcXpeDwbbyoIKtvj7aPPtgsGAwgLgAL4464ZNVX323YGZOQr8HAJzGbM+fw4UFxHDBvjFStUt4QLnk4FxAeEzEzWYmXKZWBTUGJxoRsLl2+TEzMrDRB2tZa34/m39Os4ettH89Iw7MUIlJnlujQsdODRsy6lBMhY0iwMCRiU1OT09PSoA9r8BeJxn76ddvFzCLcisgEyAtQIBQMZ2zY+Odff++GITiCZwRZsXzJ9LRkzxiGmJIQDyMUQXEQDxvgAFw+EmCZkZIY4xNFcSnGnPWyifrBpgK0MGFm2GQmYjQYJTQWdK7ciFFZsC5GET8Wa1CvSr+e7SpXKIUoBNtCyBJfyi0cMGzW0ZOZxgvBkmDdGfIwA8dwH6lZvXzNGvp/KgISIDc375/dB/DDLpMhgLVlSqfd3rRhSnKIiMm1WCz26MPNxw59c+SA10b0azdqYKeXnn1UlCsI3InIc63vfX9av1kTur/wdMtQAKYo4Vb3pkDMSV3ppNgw5sKsE2btUUJJjNoLMwCL5YqBCcGmY6g9sHCLMCAhBhuP1K9T+eEH7yDdxKRNJG7tT7/ucE8kqmWFBJGwNggIqoaBMCgXVLAVU6IeBtXAXAQsZmJmpRIxMRq5BoOIRYo3lcADgsGUGGzRjkKWgpCBSjGoBKmGtZCI+cH1X2+ZPW9NZna+wCOpFJQhxU4fuGBZs/Lf7jvxsy9/Ey9M2ABM7HpC+JAgHYUtYQuQNvGSxkxd3mPgjO4Dprw9cEqvgZNxc+ozdOaAkXMHjpqnMHr+oNHz8AVu8Ni5g0a/33f4nOVrfsgtiPlWCBdoQq92mD0ido3IIV4gxIEQeuMFAOwFIM/GAx70whiIycmjM0TAjfGCKh8IGBMw0DLAAp6Hh6QgEp+W9gAAEABJREFUmRDhpGL6L3JS1/BuJdGIiT02YfbCxguQxG+4rsbU0d3WLB0/eWS3N9s/8+Sjd7W864bbG1/b5IZrbm5UB9Dk+rq3Na7fotkNTz/Rot/br707bdigvl3Lly1x8XJmZk5RNG6YEZgwEy4u+D5XpWLJ2rWuQgSkrt0ITMRjevaZh5LCgWAoyQSCBPn/I+ARtp/KFSsATXBZIGlx6FTXGQKi29IQe5ZQgWTysCXEjxZUr5AyoHub9asmvj+998B3Xunw8uPPPn7PI/ff+uA9Te6/p8lD997a6sE7X3z6/rc6PDNqSOeF80ZOnzjwnjubXM7MPn7y0rFTmZE4MSpvAqfOXB4+Zt6oSQs+Wf/Tv3sPZ+XkRArzIrmZRfkXi/Izi/IUIkDyswqL8o+fPDvng9U//bo1Fs2LFGSRjQwbPuHeh54H3PdI2/sfe6Vdp34mEBbdzkiGfPFyC2xWXhSQVxDFwjAzGS0HEcXifm5hLKcgmp0fzc2PFkZ8va0oU7Qk+EYQk9zCeHa+n1Ng8/DpEyc5iagAWevHo7k2kpXsFcWLsvx4IQvOCoEmJXYyaxREELdEfkpIunZoNbAn3j/bDnz7xb7dn+371jMOnu7z1tN932zd583Wvbs93fvN1n27PdOnGyhP93mjNaZ93nwaLPS932zdC9Dt6T7d2/Tt0eaNDk+USA8Zz8OuwK+OrVo9NH3KoOmTB06bPHD6lIEzpgyaMXkQ+ulTB7d64gE27C5CxEyVKlbo1/uN2dOGgztj8kDA9EkDJk8cMGlsv3Gjet18c6OLl3PFBJg9Y1SN0ZtEXqhZApQmSA37H1dJGEVZhDAGPMOEP8PayCTESTAWRv28iOQVWfwUjHhE3EOxtYRVET0gQ+ydv5T388adM97/6IXXh7R+ZcDMeZ9t33Uit0gIJ5HhUJAqlitVpXyZqpXKVKlQBnhS2LPWF4EZFg5fzIqv/nTjc6/2/WbDjh9/3SkcMmyIvXOXcv7cdeCPv/7duuOf3//YuWkLfr7bsXHLjo2//wnYtPWvTdv+2rR15+Ztf23c+tembUB2/v7H31t37ILKH3/t3r5zz46/9/25a/9f/x7ctffQv/uO7Dlw4nJ2PrOJ+zYntwABsBCjEadnpKalpbAxZFAHg7xKlkhPTw25zeBkmM9duGTwxMaE/QEBgKoSoXYOQadAriOCEWDGNY+NuZyZaX1KNOwzzzMlS2aAIoJtBz9WKSXSQrifMRsAUW5eQSyu3iCviqJd4gBqxYrExfpMlgkEcIp7uANBF8qqkBArT9B5wowZM8IjQ54xHqhEFj1rI+UwZDxrDDERcLAZl3sW8HTK5BDowBqIMCzEECVGD1v6suT72oMLMUts2SP2mAwCIlygBBvACp7ooCMIXwybqO8NHPl++zeGP/7cGw882eHFDgOHjfvg4y9+/2fv2cu5vjUhn43VWuCkFyIyLLh0sBdiD9fMcCCA7EBmNGIgRCoFRE8M8ryIL8dOXvxk/c+d3x73xAs9J8xes/WfE7mF4nn08jMPvPb8gx1eeLj9i490eOmRu26rLxSDWiCYkh8NbP3rWN+h742aOP/0hazlH30bibIQVs1avBiIjVF43ZebZ8xZhY+YGh0cqnugopEQobfMh4+dbtdl0B87j5hQErPRnIUQoghBQO1h9j+wRFDSObgiiXwIogCkbILJyJ2YqlcpNbDni+uWjZ85rluPDk+3frRZ8zsa3XbzdY0bXX1zw9q4QzVuVPfWm+rd1bTBo/c17fpa6/Ej3np/xvCWdzfJzsq+dCk/Oy/OeulgOBCYJwp4tuG1tREfu0ZkHJlAadSg9i03XYtQyQRAdHztCB0xoWmcmCig+BiUzMoy6A06j0HCyEYtckBwvgdx6oUg70m05Z3XLn5v6Mcfjh037M23Oj77wlP3Pnxf03vuvOHuOxo2v/2GFnfe/MA9t7R+9M6ObR8f1rfDrCkDxo3qfX2jekdPnD947NKxM7mwxmzUBQeFwwbvb4FQ0Pi33lxr1oS31y0fN3F4124d2jzzRIt77258120N72jSEL9n3NG00T133vxwy6bPPtWyR5cXJo/tNWfGqMceuRtP/hcu5V7KLIxbJjLW+ghSsOyWRDewEHYyIWddH8GM0CmPCNmiIybSA/tFpcg1bFtSIvIHkYnBRU0ZKw4TrI2Ak8ApM7lmSBEsEM4T3VhKBAUEJ0pQhAmFBAd6rDO9YjOj7kqGPcQOuzrBAUNEhgjCGJgZOCxZ0DUPt0MtcvYL2z5//6svPRrA2oHBTETRuP30qw0Ll38RjXsEohWY9sV6wRB+ukUNIMPFjRpdW5vFuigQMcM+3Bji6tWq6rcliGJOUpAfu3Qxm9kjTAU2RG8TscIG11Tq3P5pvAtBGbKwCoeHj59p22lQtl7GPbJWfIseNpPCoVAoiBAhIyIXLl0+ceaCEJwzcaJnzALhlH/3HIYjyKAn4lAokJ6eYgLhme9/9Ha/aW/3ndKj7+TufSe7ftJbfSd17ze1R/9p7wyc3mvQ7HcGzuzed2qHbmOeeaX/vY+/0fyRjrguGIMPMAQ3cE2MUbtAAE4N60ZnKm6ORyBi6S2EmRkz0marVSrRo+uL9epcZZw4OMy4eeR3eHPEwWOX2YQIJBGGKuHlGctvUfpYJLdl8ya4kBEIaofOX8jc8fcBE8BjgVtI8cWPeww/BrpEKDGlp6U8+nDLZ1s98NxT9z/31APPP/1Q08aNIE3YOthRgnrba6+p+UCLWx9s0fS6ejU8D5+LivCV5VJWnvbZeZeychVHnw0kJzMrrzAaFUSO8FSd4nHca/MvKTc3U+WhAsgF5bIayc0vjFl3PU9ERa5Zxl7FjdGGA9Geb74YDngEm4gZNg3/s+/Yrj1HhDxSKhvPGM0JPASM0EFVhJy8W19NFtMrAFtMOA2hQa4xKAQ1RlNVwciukpiJ1hkCCoJtCTnIevBORAyqaMPXBpVlYoI8KHgY9QMfrv6+bZdh+H383IXMzOzcvPzC/AI8uRZezs4/dPzcB0vXt3qu+48bd1EwhbRiag2pCCYwrVHrtYE0EUbvjqBPgYoVyzeoX/faa2oD6tevVbZsmbjvRWyoyA/iAyEgYsNRPxy1SRE/FJOgVYOWSB9AEBoA1gBqUIsgRIasnxqyNauk1qycUqNiUtVyoWoVkqqWT6oOqBCufVU5z6AsUAIoUqpESu2qJa+qmFyrYlKNSknoa1VOrlU1uU7l1KrlU/Gqg6hZrAgTAYi0x1SYE1PMLRpJvHSGN7RP24XvDnikZdOKpTMyUsPJYS/kYYEhLIw6wAqzIV0zjyUUkJTkYLnSaQ+0aDp/9vDnW98T4AhRXAj2cTXSzRM0/h1NGiQnBREGuYasRZfPktia1SveeWsD8qPFoWDXCIqgcgzcLb1OrhyaBwQApMaxRgQxEWaGfREhAAn7fkrQf+35e5fNG/bysw9ULV+6REpSSjgUCnqex3r2uRwMk+dR0ONQyEtNCpZMS6pXu1rfd9qtWjju/uaNQozbTMKyYS8clySyZuak/u/P6Pf+tJ7vT3177tQe70/u+f6UHsDnTXv7/ek9583s/cGMPgtm9X93St85U/rMndp73ozeH7w7ZMLYvoMGdR80sEe/vm/06dn15RefivsxYhIUis2Fy4VN7nm5actXmjZ/6fFnupw4dZaFDBF2IhF99uWPje989vb7Xr/9/va3tGjbpcdQEKFJyjdWaN6iNbfc3ea2e1++/f5XOnYbFU7KIFHThKeiouzmt9X74uMZG39Y9PGSMdfXq2SjRVoi1JFcnS0lGkrHbAMm9uyT9732YqsOLz/V4ZXWnV99ulO7BDzTsd0znV9v0+W1Nl1fb9Pl9TadX2vT9TX0z3R+TaHja093erV1x1dbd3qldYe2rV9v26r9i61ef+GJNq1apiZ76sl4xCY1OalUenqpEumlS2SUTk8rnQFIL6VIRkpSmF0ozIxgPMP45FamZHoZCEMMfYm0shnpUCmZnhowIrghCnIQH3tNfFHAjiKk7sxox4SNSmxMflE8M7cwM6fgck4+XtKicVKqu1oZhlsAoQk2j8Z6ZUqYwJ4wgyKoN2tsJBxave6XLj2nz1389d8HzhXGk+KUzCbJmBCx5zFDmp00EZaRrG5RIsH1yMIFosbzsuWk05fiPfpO/23rXvKCYjwTTPr8281PvtirzUs9XnjlrZde7fZyu7deea1Hu3bvtHu95+sd+7zWsV87hT6vKt63XftebV9/56V2bz//ylvPte327Itd27zQ5elnO7Z+un3rp9u1evq1x57u+MjTb3z57WZLJhb3M7NyI9Eo0nQgZUtnlCyh/3U5dg27omrlcslJYXBBQI9YT548Rxq8Ro2DkISWSAuCujGDAMAITInM/yHG4wBuQ7jYQsLp4h7oVa5YxvfjFqc/7DDjRl++bCljBDIAIb5wKbuwCEGyWKymgPgfiNvUrq7Gkm4nhGMdm+GNvfyiaF5BBGudVxAtiuJBxIMKofyk0gxJbAdjYr7NL4oUFMUK8F2koCgSxcchj8mYQMrEGSv6j5jTf/jMgSNmDBw6deDwaQOGT+8/Al/QZg8cNWfQmHlDxy0cPn7RsPEf4I1o2PgFQIaO/2DouAXDJywYPl7B/Yvo+UPHLhgG4riFH6//JQ/v7m5zCrLWYETwuoWrFxniAAWSv/lpx5+7DhF75cuWrVGtSt26VevWqpySjG8xiN0JE7FFvQTpWMLWF9ImKIXBHlYcqydC2GLMTEwADoRS2ncb3ezBTve17tFv9IINWw/mx5Is4QYXJoM3fxvwvHAAT+UeroqhgBcO4RINbU+5HBQvNS8aXvXpptZtBy5b/YMJJDMbwoUJ1gmeDK6Hyz768cUOAz7+4qdTZy9evJydlVOA93k8XZy7lP3P3mOTZix5/vWB+4/lGA+6TDh3XKdRwhDCJbZYZRgDicBnNKSBnkin6JRJ2kQspIMcbf3wrUveG9L2mfurli+hV41QMGAYLAsBhOdk0QkMiRimcDCQkRKuXb3igF6vjRvetVK5JPFxk3IbhxmS2GrJQbm16fVEOiW41J2m8QGH8RfaPOjHCoyrsW5KmFbjGrSWpFgJbEssjEYMGjOrCYSgE2hjlwODSSgGmD0Six+dhvV9ZfKot5reWLdMRmpGaig5HAwGPGxnRM7EiVhgyTMMOk7PUhmpjerXHDmg84JZAxrVq+RxDNcTNcoQ1tFKrGSaDO3bdu7UvvfffVO5kjjJ8D3T8zxmxrOcimkoSIF8UAKGkoKcnhKuVb18z26vLF8wpl6diiIxwRlocaEkrJEIJnFRFUIHcJ5gUEe1SBZcQfaIBnMrZFmLYwyhmIy5UVGIYbBICwUBBz0TuCIkKmeKTUIIpwcJYY4YgRBiBxUUCyKWAT3mACarvVoQIjiFEUQpMIgpegMCgBhTRiNmNY6LCCEQJiYIiTWKwbD1JPrAPY27tv3g3t4AABAASURBVH+OfGt9l5eIb/n7DdsnzVwZl2RLBhyxyAoWCKXdvRvvMKwTQoqC+t7epKFYXRvEBRpcisTLlU7F5zdjiBnCCqdOncWViBC1UxbUwo9cVTmjxxsv1q9bHSE5WRahg0fPDBk9F1/pSG8zIAM8QwE22tQAo0aEFonEopG4zpxv6KIcJHCKT24+E2aC0EUs/CL4QChp24693/+y7eLlrMtZWZlZmZezMi9czvxj576vfvrzq592fvnTX1/8uB3I9xt3b9pxZPehS+cy/UI/TMFk3d64qoqws4tAsVyG0QwIGhUCAoZecCg40Ssk65dM9Tq++sQdTRpqWMxEGOn0+cujJn/wz75TJphEsE9MykI+DvCQb+PsF959R2NlsKd2CSU6ffT4eTIBwdJgxawfj+Fqr0uoSUPUyRmCMUGPJ2nce9Qw/a8hFRHEmgAiL/z2gMmd3xnTuceorm+PAHTpMaJzjxGduo/u3H18x+4TuvQY+/W3v6G8ZK16ETl68szIiR907D6+09sTOypM6Pj2hE49JoLSsceErj0nf/LZb7g/EZZLUAxsP9LGMBBPDsbbvfBIk5vrqykGGYeJxuyc91d4Qb2MMrPxDFYNCBOzykGMgAAFOAQjIipGidiSD1JiLuCQAAdg6wSCHhnPmIBhY9hj7Q1jFem/BkFCORjbGguM9cFEmTh7YVUxIjYEXUpLTS5bruz5i7lDRs1u12Vwz4HTho6dN2LSB4PGvN+l54TnXhs0YdbqywVeICmNTIg5SIzPkwTHWDEFV3pShzg0SOdK0lODndo9sWTeiBULRq/4YOyy+WM7vNoqJTXMjNA99GwCxnhsgkyG2SNixtKSIdZGrqltjR+WdcCUKX7f3Td8umLK+pVT16+c9vlH09av1v7z1dPWfzR7xuRheF/AWQJJGPAMP/HoPZ+tnrF+5eTPVk1ev2ryZysnfbp84rplE9ctHz95TLdSGUmwiyWFMKFKWjMMLgBNgwUrLEIST0+mrq8/2fqx5iFsQYgQTkenlOhQaGYURakaLBHrH84D5OQZWyo9uW/3V59+7E4/ku9iQ2dtvKhC6aR777mNtBntiFgbcAMDJTPSmje7KRTA6YDNQGhgolcwuO4gPEU1Uhc5JtBCDwDRijDmOIiJmBlmmfEU7he83KblW53alC6RwoJLnzBhREgAKJGgQ9IOsMTk7CCggCdBY+vUqDC0X8cnH7ndSFQgirNAJSUYoBZ3NWlxR+OWd9zS8s5bWt7dpOVdjVvehf6WFpiC3qxxizsbt2h28z13NG5++83N77jprttvvvv2xs2b3XJPs1ubN2vS8s4m99x5y623NKJ4VNQxYvY4EDbBdA6W9JJKSyBFiJmFXGPEjV0UyuBwKRMu7YVKRGIsoLpqWLI4vaO+sV6GBEpYk0GBVGOCUBaRaLSw8Q21Jo3pXaNquaSANKpf470p/WpUL2XhGmytgEVVsCucK7UVj0V1UH1L4muETpJcDdGjDOgBYCF8wUbERKOADiyBj9uFxV6HTSbCEjoZRGzYMBqB6hJgdosFGQaJXFNERIjJ0YQFZEgzTANzZdG4fetb18QiSJ35IAiB5268kLVQwXlIJlgQoSWrvxk2bmGvwe92eWfSq2+M/fL7rZYMwxGCJ9iHOyY2qoMp6Lg4kZqDESIGiEG0VNyYOZAcCKdzIFVwxTAeGQghPc8Yjw0sq10YSMizGtCZEDPjMJAhY0wghGuO8cJsPGJDxnjBtNTUUm2eabV4/rQlC2ctXzx7+Yezly9FP3PpoqlLPpi8dOHkZQunLFs4dZn205Ytmr5cYUaiX7poxtLFCksWzV7ywfTe73QpW7YyrmswDteXs3OysnKYNShmLlemVNnS6S5BpRDFrq5TFZdKIhRGiCgvP3LuwmUERcIuH3RKZyTIxGSYDf2vAXdcZiJm7Uxc+NiJk6RNWeFAsFbNqky+anoes/6rs1o1QIG0ExK5cOFSUREehcnXVYCIgsobOGN0glohAK0xdgcUPWLPkvfX7mPT566cMXfFtHeXTXtv2cKl60+fyWQT0FiMIQNVA0kvnLr2y41TZi+fPGvppJlLJs1esvLj7+MS8ILhQDj1mx+3ffHd5gNHjmfnZGfn5GRhyMndtefw2q82ffzF5o/Wb1r12W8r1v2yYu0G9Ms/+WX52l+Wf7LB9b+AsnLdL6s+/RWw8tNfE9Pf/9hbFNNUhPAnmqQeLG6DgWSFrJVbGjf4dOXMdSumf7Js8keLx8+Z2vfGRnVJwBR2TYuN44oB1qyYiAOBIP3X3PYlUjoxUk8+cSY3LxoMJpcJJZc0gRT2gmw8tUcietLgVFMgIsafMRojwakF1VoWMhxMycr14xyiYkXPMMAY9iuUTa9Zo4rvmxmzl7V/Y0jnt8e+M3BGn+HvvT1wZttOw15oP3jhiu8LYkliwlbfDwlnKhKyurvgXojQE4KBL8XgFytOSiFtDD7pyQwEc8izHytqftt1vd96qUKZDOxRghosKoiwiqkpyCrKiaYyyAoXDrEec4s7Gw/q9UrpNMLrVrEwUTRacM+dN1WpWJZUEfoI8T8UuNzY6Jp6dapIHB+jLQxekSJmYhUXCIFOboZNRigPoxlwAQk6M6jEjCgMg2rjFM97o/1Tjz/ULOC58wtEQhOYQumxDAIUBAVgAIchbivQuKlh3cG9X21Ur7LBq7srAhTFxoJSOLDny089enfQY9HrM/JHedQnE6sJyGHGzGQcysZ4nmeMoQDZ6+vXGtKnfb1aFcjXFy0R9YsD0qxlxFyjs+ILY2MLrBMaeNpD0BWDyMnqCqmASvmKEBosAPWxKTAhQkhQZtykoQl9JE6uITgDJqmEIsiG0KAuyAcmEQdhIOghD6CEARnDCCzqxHGcDWg4O9qBo8JKEsdk9Lj6Q4+ssbGbGtbq3O7pMhnp1vpWrLVkLf+86c9REz/IL2I2OOUQG8IRQRXEonr7Dx3Lz9fLFmzDGPrrG1xToVy6YJldiAI78Vj9utWqVCqnUYo6w7F7/xHiABlmtzPI98uWDPd+u91ttzTyDBtidjmcOnfpvYVr/9p9krwkZjA89oLkBcjzMNNz2fcZXrXqlJqSnJoSttgWhPxEEiUhikULa1Sv5KRIhclY3y/Cly2BD65etdy0if2nT+g3c0L/WRP7Tx3X5+67bgmE9D6H25IXSjPBFA4kMz6cGFwOAsQeMbMxxtMwgQIIlojZeEJEbEjAIlcAQtYAhzOT2/E2xvGc11986LEHmxFqbC2+DltL5y/lLli6/sdN/8AdsT7gE+SLAVvKivjIpenNDSqUK0NixRUTnwI2bNxuCVHhRi4Ca1bivo8lRBVggYWY4ZmJiPFH2hidHhiIrzSHGSIw2Jjwzj3Hjpy4WLv2Vbc3vfG2pjfcfutNzW6/uWTp0nuPnPv30Ll/D545eeYi8gIQImHOL4jsP3Ju98EL/x66uOvQhV1ADlzYdeD8roMX/zlwbufe02cu5goZYtiHhhA6G8PPdOVKBtq/9NBLzzyQnpKs0YIDFsvmP/7+5fd/TBCvFuyagSYQwoAoXa+ywGHLTUnZoGECoCtNN61yiFj/2BjjeYYBxmMsKOi6MnGxMbmybehKUxXBDsMcltETQZhBZhgiNnjKfOrhpn3fatPv7ZcG9+n86kutjRde/932dV//+fXPu/7Zf64gFvTCGYT9wwE2AWM8Y1AHCYT1f7VlcVdUIIIt0HUvkWsorc/iB1gChgIGz+h4FjfQZmYyDPekUQAjhiLDpgGDkBSeAPCCgjhJbyYWNlWAiQTNimXxcZ3E44QC4cKKLSuKs0tVFYWIRCwRlAUEBQFuQQWgpkoBRlZEmGGcEDG5ZjCV/0sRltj19as/ct8dQc8QzDAxsyLEvqXLWflHj5/df/D43gPH9h06duzkmazsAtDZNcNIGkDJYe+tLs/XqVHOjxcJMsPdqfBy+1dblS9bEqlpLET4vn72/KVoLAZVIZSOb2hwdZ0aFePRIuuuxoiWtIkhDUBRUgwdI0GgSIzQwEWvVkWAMHExWInVvapc2+cfC4c8ApUN0iPHFOGCiL2UlX/mfOapc5fPXMzOzCmMxFEjT8QgEVSGmRFtmZJpnV5rXbNaGatXS2FmAz4RVoEJTbQXYiaGNOwyAf8vGtAUQBcBwqSK0AUgfI/Z+nHRhMEFy7DRvUdewJIRYVxw4IOIici45nlB4wWM51mLsmEp4UpE11ZEiA0ufQBP2KUMNfH9aH67l59KSw6AZAiLSqVLprV58t54rJCKNYt3C8EE1kutMmkTUnEtBljsaOpGqWBRooHMjI4Y7X9kIqVRolnNBGwjMCi0dfvOFas/Xb5q7dLlHy9Z9tHSZWs+XPbRkqUKQD5ctvrDpR8BlixxPbjLVWbtuvWnTp9lRhKGGFsbufmaOoJzxRCyjqzOlI5Y1R8Ky2y8qDUb/zjww6ZdW/85uvvQhWOnsgqLsOSxUIAEZmAkEatgyykmJHqxBh1LhT6xfspBgRKmmZiVwNqE3WZQJuppwVKqsgWqGGEGALOQU5ZTJWwng3QMGquOyiJ4JqpetVKTmxveclODJjc3QH/LjdfecvN1QJrcdC3wxpjeeK32N13b5Kbrmtx8XVOFBk1vbnhr44a4R9/e9PrbmgAaXVPnqkAwgCAI9sngV6ZzFy5hqZEDnJUskV67ZmUUwWPG1Sg12WvUoHZaagpYpIecOHHaPT8gIgBo5IJnqDNQxI6esUmUpRqcQDCoT0vYzkm79xyxOmPwPM/UqVm1dMl0Elzi2JBUr1oWz+uqS4LiFBRGTp2+GIngGQ5zqMGVA4In8MmQp+VihIxYQNQegyXvn70nF6/6acmaDcs++WXZJ79+/u22y1kFgUAA8gZXdc9jw4BAKOXbDbuWrd244tPNK9dvXfXZ1p827SETDgRCAA6ES5ct07n9S1MmDJ4yfsi08YOnTxj88vNPZGSUCobTg0lpwXBaICkVb8iAYFJqMKwQADGUFgCEU/FM4gVTvGCqCaayPpkEiTV3FtKW6DU50f2gp6H1JS5W/6kLrvkAI9aohg8BNka19FASs+vJ9cyeCSSlpKpJEMBCQdET44+AGGYTNCbAaIQJwwxsotqqoq51BBMMFNd4ns6Vjdiwk90qkCFU23gMYMOwZoKewVD42ksPDHjn5SF9248e1uPNLm3Dyam//bHv59/3/f7nkRPni3wvnYNpPs4ka30b99HhZCM2BndVtqSXOAsnAgTXfewHhIAAAcVRACMyCAfVwrlF4hsp6vjKU6UzUvVsurIviFBajsQkM6fg7IWsE2cunDh94dzFrLwC/WWTjUEVmNDQwYXc1qThay8/Ei3KBUnBxtKS7Ksvt2LlwzWALmdmHz1+CpiIxSlZukT6fc2bMsWtjzs+YrGqqEFghNp/PYEHH3BJjMiJmXEAWEVgD3NDjD8bi+Tfeeu1jz7QjKwvNg5HgoZUmXG+5OQKW1bwAAAQAElEQVRFz5y7fOzEuaMnzp8+m4kfpGM+6IyFUR8kiAqTenWqt332wZAHdSgrxIoKHrmv6YMtbgcXPjWeYh1VL4z6mdn55y5knjl/+fyl7Oy8Qh97DTXCwjIjbFQL5Wx0bc0nHm6WkmxEXKZEDMBtVHvWpgRwCU3gCZkhbTKITVFQCV5FOz0UwSJhUA4Rs8BIQgLuSGCeGH9Q1p7JNZjTUdQDnEAJfCGoAlQHwalNkASjAkYYhLAi5FZIjQkUdIQn0RjBYHBhERQoKG48w0TWVq+U0fPNl66pXd0zUCMGkWn7zr1TZi45n1lovADCAtGRoYoYACa/KPbHn/+KgJyIWUqVSH343ttstADOiISsnxqmO5o0qFC+FBOrEA7hHTv3+eQRLBLy9Euk8pD+He9pdpPHZFgbMeXlF3246qsfft0ZFzwlMBYK61QMHhGb/PyCwoICZWDGVKZ0qXp1awT1h1OLnaLlQGJ+pGzJ1MY3NaDipjHkFUSyc/JxpcEbiWHKSE8umZFcokRKyYzUUhmpqclJJPgjwooBET2QM9Kxwqgkw7cJnDqXteXP3Rv/+HvD5h0/b9rx88btBQVxwXMMTm9CgxZCgCxrc/ZgkFGRSO4b7Z95vvWDITxEI1C3V/Ar32df/bbuy034qAx56MMd/DNBSUBhxShSmPvs0w8T8hI0NYrnuJ9/3eEFQ2omESWBjmuNEhA7YYqgHaCj/4+s94Czq6r6v3+/fe6dmSSEYlcUEMTeFXt/7GJXsBewIM2uKL0k9N57h1CS0Ks0BUSwgKCA9N4SIH0yM/es97v2mUT/n3fNOmuvvtdee59z7r3B51FNBO1sSrBRynZGorBMo9089zmrfu1LH9/yR1/f8off2PKHX9v8Bxt/4D1vHRoedjPU9HjEsw2ci8KqCZSKS19N35yWMpR86UVh79AkqvQyd7HVxsToxOjC505vvvXlD+67y5bf2fhTz3vOqlKLgyzb855eeORxs0tvanEPhQwJSs4rnSavTsO6MK9Y/aRJyr7JKWYUTukRaCiaV06jgWN5tKOD8SVjS5+dPty+6dVrTp/CojJk5cXBo5U1jewcW/ZWgQOzQ/tNu8FbXvn5T77n8594z2c/+d7PffoDb37Tq90MuTfihl/dhoJfcwgNYjPKhRY0TRniJ8Hb7rzv1tvvveVfd9/yr7v+fdf9IUpLH9JaZhKo/x9IC5lcPbEK4KDhmt3LWMLa6J97yQ0HHHnWfofN2ufg0/Y+6NSLL7shPLm0PMQiBxOY6JXIPPDBmawLQwTRgJ1fFSuhI5FAk2PQYkWobrDqPBhAu8iNS2k8eN+73rzaqt0nrbyRqHXeMwtmzbl069/u+YOtd97ilzO3/s1eW/96r61+s9dmP5/5w612/s12+11wyZ9GxwbKrLIZYvXpU7+w4QfHRpcEb5Olz3z365/69MfeSzkg20IZ8+YvOOSIU2+/8/6sp4a8bM0X8SNu0dggcm3coHhilQq0jUmAz6ZIFGZbAlXBAIzlRGtsdPFGX/ooldB4WlWzefHSUX6x3na3Qzb72a7g5r+Y8ZNfzNjsp7v8aOudNv/ZLrvve/S1N9zC3Zo5yMUc0b7geatt+Mn3DsZHUdjZqcLztytCTiVXZXKksAjcQMRgm1e6IK+wwnIf9ppigzxCcJxQTKgdF79DtQOeQHXBrjQXG23bDiZa/jFqMBbtBLxIPtmmnKPNTwATinGD7bhbfuFqeTM2jdZe6yXFMv4RdBJ2rbVfPDEYrz2JSZg8mXipOMuiSOolCMZ2R11Bzk2hLAMYKsJ2iBQWPJnh4Sba+oGK7c9ZPLp8+cLFixYtWrx4yZLFS5YuXro03xLLliVdWmF02bLR5cuWL4fiPAYsHxsfZ3WRexKZnuSDdgAXosaI8eWD0cXjyxYOxpZwC7mbmPcXk7bjg/Elg7FlbOL48tGx0aXjo0um9AfvfPO62/3y2+/Z4NXtYDzdyciSWDMM9RKIGFFNOYVyotpxrOjbiRgsHwxGBxPL2ollMbEcJib4sWBU7WgMODAtEcrtFXXSMrKwxdGOBZs4sVyVxsQ4YgufOMH8ILOyBPwLA9FQUKhBdUCZHQOFpyIosZMYzAliRJFbnVb78acWPPTIk5L5U7S9Rh/5wAarr9JoYlQTy16zPl/wXsdXE7F/Nm7/uuPe5ZxKHsvE5+QoBSugOtQ5Ukm1zIQtKQNO6S8edDff9h8OHgrUWF+53kvf9pb1aJoGy4e0fMNPfGDV6VNZXATT6Ml5zzz4yBNhAPesnKk6ZJpEp1vEIPs2sbydWB40c3w0mQEPohKcexebB1pR3SZNjGmAwyieiYP6rxPpxleLIvdkp2fwuqFAcrMRfKyPxm2v8JvXoIh7hxM3aNtKJ5IOBhNtG4NBC3ZXWtsWXZswiLZNjASWEOROZERaiawRFMeqM0Y4bYHSNuVBwcb5VkqT3ahYpYD9kamXX/2PY0656IgTzj30uLkHHz3n+NMuMq94F6mNmIh63to8XfXgteNoNFiudrlijEdMka36F+JDZA2ZiAFYPas/SvNPHC13SjihSEw/eMvrXv6+d77uPe9IfP+73/jyl7/EpZ+/vfaG5X7LO4S10oRsQNCiAR/cXSY8/OhTCx97csFjTy189Al+6lpONhw7FMWswJj86cMo09pOrP3S577m1euI44LKxnF80P791v/sdeCJW/xqxmY/m7n5r/ba6tf7bvWbfTb/1Z4//vmMX/x+n6NPnPvAw4+3xCshomU3v7Dhh1ed1lc+dScmRp/9xZbfWG/tlyhoOj68fj33vMtOO/P8wYqw4X5vg7e+9mUvee5E97gQHXCtIvPaJkwczEzQ8ehBywlSHYUoQwzE+LLFm37nq8P9Jo35sBIw/5nFp5xx0c9/t88Pttpps5/u9uNfzGAVP9x650033+EnP9v1wMNP5V9BBi2OMl2IgL73nW980fNXMx+WjJKmL//WRp9uWER6TV4LFo2ede4ffrvjQZv9dMaPfj5zs1/usdkvdv/xz2b8cMudN/vZbnsdcPwtt9010QZnjoAIjn350PvfvsaqIywyUKNVtseFynMaMUqVY9kwwdCJoQS7CB9bDCEGLrKpghGoPQd0kY/JgEkbvHPMq0CCSy1GphZhAhwsEz5UIudFtLEXR7GcHiZPLgchUmZxAZN3PT6ky0/gJo3T38FX/baNdsA/Ne66w9ZvfdMrh/pqGvf7vaaUBx96bL+Djvnnv+8cW7ZwdPH85YvnJS6dPwYueXawnF8uY8qU6WfOuTSTMR09ixjq977wmQ+94dUvbccWF+7DicVvf+NafPrs9Rrsqq5PPPX0v+64f8D2U1y0Q834b372zf97/1t7jViAVsDcC/5wwilzFy1cOD66YGzpM+NLnxlb9sz4kqfHocsXUeEzzy558qmn2SMigjz98o2NPrn2S1cfH1vS5vOOc7tsfNmz++7+mzVWnS65Yhko+OF88bLltIbFt4OoTETHZbrBIMYjcSJiwjEhWjQYtNBA5I3Y9oamXHjZ3376u4N/ud3h2+xyzO92PXbbXY5fuGQik2hAh5V3i6SWC7RzbTZ1Lf3GVz/+vW99dupIUzy5f6zlbzffdvARJz7z7LPjo4vGly3INbJecNkzE8sWFrbKdsRq00c+8IENolUbZiFt6Lob/vH4k8+SiVkqtnYT7i9YNPboEwsfevzphx4D5z30GDj/ocfmP/T4/Ecem88/ST39zIrfXaSgBfK8ec/e+8Cj9zzw+PxnlogksjXg+dhvSr+JXuOmiEOENwa7jC5vn14wOv/ZpU89k7hg8TgrR68oWUlurmFITnoQXrQl2jWmD239o8+dfMS255y652+3/tbb3/xK/kGyWs3htjw+0Z54+vm33vmoyrAAK088F1lA/S8g50wSpeGnCp2GSmFQTOqpBAFtr1c2eNMr3vjKF77nLS//wic2+PkPP3f0/r+gmF9s/tXnrZZfBiY901vOxjNLCp0+k7KxqUMBR8rU4UERxSpFymdTa3GLy3kM2KsJpVJ2KU1v2iqrn3j6RZtuvuv3Nt/l+1uAM37+u/1V+GLGLdw6z1DIlieTMxMG8gbbzxmLQZA2OAWDaFtFG7yrKg7aiUH0/nDNLafNvmbWudeeed71Z53/57/ecneTr6isrFQgFej/AUQJuXCB8BGMhFgKRAVUgL3SJ1Yq0YMlcJaIs1X42K+mKU0pERPrvXxNbK4g6Ykn58/Y68g9Dzz9j3+7/z8PLXrwqbGH5w0enj945Mnx+x5dyj+HXnz1rb/d6dBfbLNH2+WUzJ/iLW96rdvl48sWbfjxd275441HhnrUQGm4ta1v/Pvtp82+7Ia/3TZoJ6sd6pX3v/ttq07jNxSal53N1SjriOxhRosVZmNFvwVRB7l2Gz7MMWBk3Qo+W7/j7W+uSWRzLrV8+fge+x277W5HXXTVbbfcOe8/Dy6655Gl9z289N4HF91x99M33vwAG7Hlr2YefcJZy5aNR8JE27aDtn3D69cfjC+3yMsjopSmH5YsF0sUB4ExkJzhJScUQlTgW+4ZmKomcdqsHk0vQEOa6VN7L37u8IufM/SS5w298Dm9Fz1v2lC/6ZaJfxux6vSpL3vBtJc8r/fi5/Re8vyRNV/8HEc4p4JGsV/0/FXXecn0tV845WUvmPKyF0556YunDfeCuQdtzH/62XTsWp1cPPnkUxIthYBkChrFRBFMFU2vx4EIl9aclCZKaQuH3a1BlBZ/zE19QRE1gzwQJ96DcLdYRMKhg4jxAW3sqXaA+/rD73/HJt/e+Pvf/dr3v/v1Tb73jU0rbvL9b4Cbfv+bm37vm5t+9xvf/+7Xvvedjb/3na9/55tf+/Y3N/rWtzb6whc2fPGLX6R6ACJ4ukIs9sAqHrzrbetv/+tv7fr7TXf+/Za1WNmsqcXjkx/Z4Ldbf/X3P//KTr/9xl47fP/QPbc649idz5+1z0F7/PTLG75vtVWnDAYUKPaa1YuTQvJ2wMqyF0xSHx7KdqFEJ1nSYLiZ+PgH3/SJD7zxkx964yc++KZPfjCZT374jZ/68Js+/ZG3fOojb3/H216HX6bNJDE83H/9q9Z+7zte/d4NXvmeDV7x3re/8r1vX/99G7zyvRu84n0bvOK9G6z3rretu8aqQxG0TVEacy48CeRZiZGzszSwtK0m2lprYJ90ZkAQk3IlTYkLPedhwYKl/7nr4dHl42YZbuzytje/epuff2edl4y85TUv3OpHG6+91ouD3AGQPPgEtiz/l20kYI4ORSrkpM7DgytPt7RNTociuYh20KqN5q57H+YX+lhxFzz/uatv/aONadTzV223+MEXPvnRd5v2Mik04pHH5t33wBMqTcuJ5fgy0/+iZe65GDx3tSlf+NR7vvipd33xk+/6wiff+fmPvwP83Cfe8bmPbfDZj2/w+U+84wuffNfnwU+883Mf3eBzH9/gsx97O/Tzn8Dzi7VBCQAAEABJREFUnfjAf/ZjG3z2o+DbP/ORt4Ifes9rV5vaWJxZdnkiKL2WJGXLsycUhHZioh0sj8FY28IM2sF4y9eSGCA6BgGy4oisMXIBNEG0ZsUSaJq5rSZbUSyZP9DMUxHCPSQGtJH+ghQuJwOBxwwFm5Gp00+dfcWhx114xEmXHX3qH46bdcUFl93gZoiD3A5G3/2WV3BEP/qBN3zsA6//6Ptf/9EPwiR+9INv+tgH3vzJ/3tXr2cV4cxla80XPg/9/733df/33td+5D2v/fB7XvuR977m/9772uTf99qPvPd1b3r92v1+y7Y7xCpziYyRtz1HgZ+mLb6j4jBwOw6qHW+zJ4NoxwsmtdNXXX3XPY/47EZbbLjRFp/baMsvfP2nv9/5ID6mllJYH2VITaUCmEi0Ek48zaSYeMXL12qakgqkCG6BP1xz009+tedp515/462P3X7/wv88uPDuRxbf/fCSOx9YdPNd86+84a6Djzn3Wz/4zd33P0RUxORmTJs2stZaL4nB2NiyhRt/8aOf/9SH+AKWO4VHaHwijj35/Bv+9p977nuIACfoNa9a942ve0VMftfKZLKqhRa0GasqOqxJyPpbpIDJsaqZQUKpKVOa1792vaYYdHEpzdLR8a1+OWPmAaddft2dt941/55Hlz74+PIHHlvGcm67e/61f733yJMv2mSLHa7+000RmYHZacPIlH7978LCpjPt854zfc0XPxfTSly4eNl3frTNjP1Pu/RPd/7jznl33r/onoeX3ffo8nseGr3jvoV/ueXhk86++sc/2+2iS//YDlpAYcaXvOj5/NQoPsAgZ8V0gpPC5wRWAyMrZxDAvGDgwCrhZMpCbFlrwCsjBOVSAnplCiIYRe/h2mRrYI0RwHo4aM4CSpDNsohLOzO1zC9bvKGUkFmLnG+AVtxFZloHHiSQ88+k57ZhkPETHsmrRVmsQb+M7rfHL9/5tlc3WOTCoVSx/fznrTFz519cdcExV5x76B/OOfiyuQddNvfAS+dAD7p07kFb/OCLw/3S9Kdcfe3f73vwcckixpa0/rpr7b7zVl/7wnvfsP5zfvTtT+256y+es8YqnBcba7Rt/OVv/3rsiQV1Ig31Jr7/zU988mPv6fdESyR8xAKk/KfYOafse97pe5576h7nnbrHOafuMeekmXNOmTn3lN2PP3SnGIzxheE/9zxIiyTZRdJaa77g2EN3/tJn3r3m80eev1rZ4A0vO+moXT/y/rcq76jAAWZsbOKKK29qeF6oahwl1MjFDUVKMTJUVhmaWGVofJWhsVX6Y6sMjU+HGR6bPjy+6kiLuMrIxKpTYuqw+z33+80QONQMD/WcPWcStoBMdSGliVxN5a0S4x9+3xt++N0vTJsyXErTGCxN6ZdS1nnpi044fJezT9h19vG7nHXczmcdt+sZx+0Cnnn8rrOO33WoPzBf+MZGP/iet00ZoljuvYHadjCIU8+4qNcfUZizl4dBxfaiZYPtZhz90S9u9dEv/vzjX/rpx7/8M/ATX/lp4pe3/tiXt/rQpzfZbuf9xGoJW0GPOOasj3x2s09+5WcHHnn2eP63x1YwSYtd1F49pYkSY007PjExfsKpcz/w8W+872PffP/Hv/HBT3z7R1ttf899DxSNFS3Hp2ii8Xi/TIC9Qv2DiA5j9dWGvrnRp9/99tc+b41VhvuNxTzUIteNHxsMLrj8+rkXXj82kXvqYLHUgRMVsMQQY7rnRazagIvOLTMFLUcPoq8KQrqgNrKGli0+5tBdTjl6pyMP+M3M7X+02aZf/ND73vqSF6w2daTvDMA5VkJRZnKlJORGLBJNhlCTmT5anInRChgqGi4TQ14+XEaHtTRpWT7SG5vSWz61twycNjS2yjROWjM80h+ZMjx1Cn9Tp0wZ5kFvWbmAEMBkdYTNGYP7xdNH2nogxzmN00cmpg+D46sMj8OvMjyxyvDYqsOIYyM9cGJKP6YMxZThmDLEyeBNLw6bmmbZWMsX7wcemXf/Q0/d9+BT94IPPHXvA0/e99BT9zz45D0PQp+654En7nnwybsfeOLeB5+898F5lT6xdOkoxbDwSnPRfCLI5VcZhpJhnWXno8QuzuUY2h/qiZHguoNLlo0+s3BZ6Y3IvaYZKg3LH+71hktvqBTupqaNMlC5+5772txiMnbpPTyEJw/Hsde+cp1VRoaKmbA1tUS7aOn4EceepWbqdTfc8tgT87gtsMl6y5te94p112rM6tPbXkE5Gpk1mIIJOudqhOXkuwOJPUfDHHka7TI8MsRxJYRoDBODibvufbT18EC9cCPqz/+sqGe+O5UUJ6JMtM0dd96zfGw82uAt3gZzq2AlPk+dW3ts3KedfcmJsy486fQLTjz9/BNPP++4U+cee8rcY09OPAZ6ytxjTppzzMlzjj1lznEnz0n+pLMPP+bUu+9/uKskk0qUHVzmwTe+6bc/e+HZB1x27iGXzjng8nMOPv2EPdd88fNx6/zZqY9+4J2XnHv4hWfvd/FZ+14y+6D99/i1wjWHScS75Vtf+9TFcw65ePb+l8ze/+Kz9zvj+F3WX+8lbGN/aOrscy8ZHRsETkKhhUtGZ8+9aqg/gpSyojKuc1nys0vbjTfZ4f+++NP/+/zWH/r8Vh/+7OYf2XCLj34+8WNf2OLDn/nBL3+3+4KFiyVmxp/PJe3u+xz1/k9s8sFPb/bBDX/yoc/+5EMbbv7hz275kc9t+dEvbP3xL/180y33eGYBP10b7yL3m6bf7w31e5wkaPJDkNT0ez04cKjf4y9pH+fS6zXILoU5JealN7LEcxah15TXveblPK++9uVPffZTH+ElZZe6HLHAd7z1tZt847Pf/eqnvva5j37u0x/46Aff+ubXrfOi506fNmWoV8pggk0ONpsuBNvN8Yn/HuWM5+nBUVDLLkT2PIJD1w6e/5yp+83Y/MCZW+4/Y6sDZm61P7j71vvO2HKf3Tbfc6ef7LnT5t//1hessJ1JrNVXnb7FDzc6/pBtjz14m2MP/v2xh/zumIO3Oebg3x59YMUDfnPEfr9+0+vWwb241yvN+HjLjbx46fLFS0YrLlu8ZNmixUuXLE5m8eLkFy1ZtmTx8sWLRhfhs3Tp4iWjS5YuGwwmbAsUxAIiF9fmKlx6/Zv+/q8n5z0jWhgJvVI++bF3n3vmgScdPfOdb30dLUVLEK27/8FHb7/rwbal7dmXqsxz0jmU4jxTQTt4fODAlCutFvO19HYQ8hNPLar/cQ33ejqTbv1119xnxs+uvOjoH3z3S70mo6QsdWy8/ded9z8x71mEiIx3hcglULISjGv7mvXXnLH9pnvs+MM9dvzRHjv9eI+df7zXzpsl7rLZ3rvQ/8123/FHiTulafed8PnR7jv8aOYOP9x9RzDFPeB3+MHMHRNR/uInX3rpi6e3ygpZE6UzTbFVCkyvuN/jZ83lfYNjPY8NeSzfIGVsqIz3PT5UJnoeRwOO9AZ8HhjpxXATvUKmfKqrAl2XaS1jno2gJcpJmJZziwmD8gDmtNOmNmusUvhotsZ0rz5dz1m1PGdVP3e6YZ47vYDPmV5WX7WP2/RV+tNXGZ6+yhD/VjN96lBxGxMTw83gdz//+r67bX7ADHCLA2ZuAbP/jJ/sj2a3zfefseXeM3411Gd2s0e1Or3tja86bN/fHrLXz8DD9v75oXv/DIQ/ZK+fHrzXTw/ac+stNt2QKYJ3tGPAB3M6VYMp2/ZwX0Ne1oul/XZJT0v6WjLcLBvpLZvSLJ/aH5vSH582NJg+RX23pXGv3+8NjwwPD0+dOrXp91wS7MJD25ZXgFRqbWa0lIeOeruzkHd5PP7EU6NjMdHmy6gNwnsEgzYdjTb42lCefXbp44/Pi5Bk/gJoSaXx8bHR0cWvfuVaw0M9dN0q2tDpZ1/82Pyl9z/yzJ9vujXvG1RtTJsy/L53v/m5a6xqcmQNUsZEFNmokuZhyRJZX0HFjMFekLebGOrGLvlXytDQ0HC/yVCryzU6Ov7Aw0+WZkSlz63qMlSa4dIbbpoh3lMDscbeswtHH378qYlBHqqcX+xBhg8GfD9qo22Hh3omK3m7LuUN+PSjTzw90NBEdsOD/EDdl3v8rhal3xY61udR89DDj42PZ5K2JXnbFE2fPi1aisvVhgstYzlSG6lT3vaW7ckSZE1CSC42j2F8EJSwYsTLVpEyi4CW/qCEy3kE6xYhsRBUD0RQR6ZLZXqolMCgACT822SID2XxAacWq9MrSAcGsoA0WkY0rIFSetmxdvwnm3z50x99D+cq58jnEvO3YU1fZep6a6/5inVesv7LE1+57pqvXPdlr1r3pa9c96Xrr7vmS1/8vF6vwTU85aTTzl22nH//NRNVbNdb68U7bPOj047b62dbfHP1VadyJmzZpgHznll45Z/+/uyi0dL0eFK85+2v+vqXP7nKyLDy07xreO1SeP2Xr/36V7389a9c5w2vWvv1r17nDa9Z9y2vfcWbXvuKN75m3Te+Zu1SvHDx+J9u+OczC5ZkH2ok27LmC5+z964/v3j2YeDJR+/+vne+SdkLLEyOk//6jzv+8rd/Nb1+KQ3oAkzWRoFDTe87G332tKN3O/XIHU85asdTj97plIqnHr1zxdSk6YjtTzxs++MP3fa4g39/zEG/A48++LcvfN4qK6cp9Jl0Ea7ABGhe8fIXbrbJl2kdfJ5XNqCxiIl2nbXXfOsbX/2W16//5tev/5Y3rP+2N67/9je9KvGNr3rj69dv6DQndGLZRz64QfB+CYJcXOY9veD6G25u+sNsbF0enUiUi5op7k8v/VWg7q8Glv7qzdBzmmHwuWUIzYickE1xllGGR/pTVmumrNEMraJSnBk5s9jz5NhGeNV6L/vKZ9+38Rfe+80vfeg7X/v09775xe9/58ubfPcrm3z3y5t8+/Pf+9rHvvvVD373Kx/87kYf+h7MRh/6zlc/9N2vfvirG777+WtMy0TsbTuYGB8DKZQZOI4RWJgtb7LR8bj4D3855OjZTz0zKjcY8kgLX16Nyaav0hkV1oyNaLkBcpfTj0tBquD26BxyCrERciZkEdnxopYzz3kXgRGopJa8thzKM0GwhCSjSA9VQEBpd6TY7I0COxopFE1TPvi+t+6+40/22OFHe+642Z47/2TvnX+y7y6b77/rlvvttuX+M7bYL19IP+GdtP/uWx+8588O3euXB+/9i4P3+tk+M7ZaffqwgicR+UhlCZSdFBXDh9+/wXGH7nTGsTPPOHbXWcfsDD3juN1mHT/jjMSZZx4/88zjMM047ZhdTz5ilxMP3/GEQ7c78bDtTjps+123/dE6L30+y3Qup3fltf/60rd/9/lv/Ppz3/jlZ7/+8w03/umGG2+9IXSjrT+70U8/u9HWG2601YYbb/3Zr24FfuarWyV+ecuPfOrb1/3lrxSklUBZ7cDQip2aOoPGoFWxsuFu7Wbk4UfzXzwkuRh4+Vov+QXv/3AAABAASURBVOlPvrHhx9722nWf++LnTlljWlllpJ3K18Upet4aQ+usudpbX7/mVz//wUP236kppEwkStK99z0QwfOrWb58FFGWC7tgPvQfc/Ls2+9+uD887ebb7uUHb7bUZjaNjPS/8PnP8MSxhEaCcgXHCRSAITmGxip2UxFR7Gr2jFzKo1QPou+99wHJK8z8iDjym59/j192X7nOGi967vBqUzx1qB3pTUDXWKV58fOnvuYVL9jwk+/+8Q++vsq0YVmFh49drPsfeKQpQxKHkVPkJcu9296n7LrfGbvsd/pu+50xY78zZh5w5swDz5x50JkzDjoDZrf9Z808MBn0Mw48Y48Dzthj/1m77XXc7fnfTForgMoKl6w21PL7iBpx4NtKI2dKK96sOeRgk0rbWiww7zLVxWImI9hIfGTtQTneVsGPn94HE00ZPvfCa08+65J7H3yMB/u//vPA3ged8o9b7+VFLuUk0IrBbMGNRj1l+Mmnlz/5zOCphYP5C2L+Qj+9qMxbWJ5a4CfBZ2PeM6MTg5aoMEQUt3i0fXZxPL3Ezyz2/EWet0jzFgb45DPt4/NJtbx1z6YmLmJApmZnA3jooUdvve2Of/3rzn/9+z8d/vvf/wFvv+Mu6B133HX77ffcccfdd9x+F3wy/7nnjjvvu+vu+599drFsy0U0h84kKugmVYXSZuUaB2IqZdPYQmNJOWgp2MbAudM8TBlxT+S2AOFaGhK5SkhEiCTERpswGGc9CraMTy6VtpG7EBSTIYSDcF4JUm5iRBOoM6QJNQq2tRYWbvlawyzE9a678V97H3zynvsfv/v+x87c79gZ+4LHzNjvuBn7HJu477G7d7jfsbvvd9ye+x03c5/jdtv76D33O6r7/wfdzUkiKfIwJdfSIDdDt/z73ptv/U/YMlqWxbxRC2hTCCyUqfGJwfU33HrfA0+poczOgj8xBipn08Gsl94yT8tEVa9oJyLaaFveJBPt4Olnl1x97V+fXbBYpYYY53C0yn62AbRttICeeOqZSy77k01XyEQp2GDkDpLlvCnSe5x9d8hqHfQcJlfBQko7ybAdKYomZ6HJB/NWa4syGdbGdhBCkmj5qZHlM1mhBYWU3JKy5de/Zt3NvveFrX74xa1/9MWkP/7yVsl8bssffGGrH3xuq03Bz2+56ee22ORzP/n+Zzb73qd/8r1PbfbdT23yzU++6fXrUGwtnESZyhLZu+eVjKWlbxha0xChcYXnrD7911t966TDtj3hkG2OP/i3Jxzy2+MP+s3xB/322EN+e9xBvznuoF8fc+Cvjjkg8ej9f3nUfr88cr+fHbnPzw7f5+f7zdziBc+ZGu242kHtQJ60EqxXhVWH6AOLtcIaqG0jQhVgwBKdPy3N89wFkodG8Xhx2w7y94mWL1pBKLXXWFvDw/0vfuaj++z283124zW69QG7/+ygvX550J6/OGSvXx669y8P2ftX4MH7wPz6kH1+e+i+vz10n18fsvcvDtrn5wft9dMpwzTCMufDogVyB/CVUcHCfdofvveBBycmwt3H7lZN8ec+/eEtf/Cld7xxrXXXXPWFawyvvkpZbWpZY1rzgtX7a79wldeu97wPvuvV2/32x29/6+ulADl3DHwefujhR2FoftvmvqsCC7rz3ocOP3728NQ1lo3pur/88/Enn26liu3b3/bGtdd6CQ2jbdW9klAWKapCLFzmkiJpWoyc5y7wC6ZnEG5l6fJxfvWwjcKAYvXVpu287Zbvf9erX7HWGi9cY2T1aWX6VK86xauu0rxgjZH11lpjgzets8UPv/rJj7yXF2VEmClCE+ODhx5+jFW0g/Fo26efXrB0yfIIbNgZ21es+9Ldttvyw+951WvWe97LXrzqC9YYXmN6WW2anrNK86LnTVl/rdXe9dZ1t/rxxl/+wsf58ldWAL85Lly4pDS8Z8kjrrzdalrnzByiFIQFW3aoWzK0ZFepjydOrjRduJzueeGhsF0jHbmZrRAFMIAkgJeK61CDBAUV5m5muuykCHO2ushFFSKtXIwpU0XkyHnPEWepRXBKlJk2koip+v3yoQ+8vcFiCdQkoKgcEzMSB0rRRjsJ+HI/Q0szfMUf/3HtDTcP2pyXiwBcS+SzJhtWQ1WzTwzimutvvvFvd5T+cCnu9+JNr13vBc9dVQREuAI86FIFy6BkibU6mUjqIrv0Rq65/p/X3vDPSKMq4I4Q/APFatOn9NlHraiIKWx+y9/jgOMHGlbhm3dRKZINEVAT2y983hqvWm+tV677sle+/KXrr7PmK1++5vovz++cfO18xdovWj+/fK75ipevud46L15vrTXXW/vFrwDXgr5o+rRhqRVpci8YDO8KpTRNifXXefHrXrUe2tSljUnBKLnYZCzRVSRJuWEUr9o++j4Yf/EL13j1K1+eepuELr7qmhvyH6BKCaPGk0HmTxmZOUhnlsd+eiAP2kkMFTk3RxUMLzWNC+CCiBkHVyuE1JkxtMFbX/ebn353219+b5uffes3W3/711t/+zdbJf5qy2/+aouv/3qLr/1qy2/8esuv/WqLjX+15ca/Qtxi419usfGm3/nMC1+wRhbl0toTA/5djAeQyM9EZiC7/cgTTx967Nl7HTTrwccWFn5roSqWRZja6F4VXTfSX3YOuXDWoeD0tUHOCGpNjGquXFRnTn7akrc7Y5XJjwSKyVY4SbjYaGtCRbJaCcG7QvSKlpl2FabvbM4Wer11XvLpj737kx95xyc+9PaPf/BtH/3g2//vA2/70Pve8qH3vOUD73rz+9/15ve+443vefsb3vWW127wplfnN+o3vOotr3/l61697shwL7jJo6UUq4T+C67ALyBrr/nCl6/1onUrrrPWi9Z52QvWfekL1n3ZC9d96Yte/rIXYQLTuvaLX77Wi9ddG/qiddd+0VprPn/a1JGajkV5bMCzuBkdDI/FlHFNHZTpgyaxbaa3ZTpi6+lRprc9cNW2WaUt4LSxtjcx0WpF22hWJkyR/tT6bLFrBVpbZomjRwC/LpT+n/58y+Klo64gqSmFHxd+/8vv80+L2/3yW7/96Ua/3uorv9nqq9tsvfG2v/jWbtv9aL+Zv9jhNz9af92X0g3Jkggdb9u5F1zRH57q0hsfn6g1WNbo+GDuBVeecNoF/SmruvR5k11xzU0TuTEstv3rP/79l7/eSj/JoAqVh0sFV7ERhJah8k4QRKqmpNVsD41MO2vOJRNtCDMYHAK99Q2v3GWbH+6xw493+NV3fvvTr/1m641+s/XG2/zs67//1Xd2+t0P9t5l65222exNr39Fr9cApZSmNGPjg0svv6EZnqJCFpKh7Tcjq/YTV+9NXa0/ZfWhkdX7I6v1R2DWgBmaAk1Nb2S13sjq4NCU1YZGpvf6Q9SZWUiTO9LVTOsRqDMkDE4hcrMmV6pJN0k2aFXwSlBqsslRQcjsKLxZPYlKf9V9Dz19+5lH77TnsdvudtSZ517TG5pmN7ZsS0ltGC5mJxPhHGw0fL4qrZqByiAS4ds88zgI6AbC5BJu5F6Iz2ONRGDTQt2EU2PlUyQIsARCbJi2jb/cdPNZcy88e87FZ8+5aDZ4zkWzz7l4zjmXJj33krnnXnru+Zeed8Fl551f8YJLz4e/4PKLLrv6scefavI/gZrsE+lsS2St1AmSGEopjDJ/SoApxSqciQg17DMsClN5zWbxyEn0JJc8OgYC2LF6z2Q6C5ckTqgurhQSXKyYnSApApga4eC8EDpDMnD5ZsInrIF9y78fmnXun8847/ozzvvzmedfD551/g1nnX/9Wef/+ezzrz/7/D/PvvCG2RfcMPvCv5x14Q1nnJ8OZ55/3ezzruLTW833P6SbjBscpvAP0UPHnjz3iacXaLIK5uyc3YGyFvHl/LxLrl0ySi0sAocQ4Q5zq2cTRPfEk4TltW3LXZzI4UHGDG0jeBAllqZ/3Q23XvuXW8bzhiQVcUmZJxIID67xVmfNvezWf91XStO2//20ggveHYXJKPofXpFFsibBk8DewqH0CpPlFZCcXI3Ury6R0bCi9FHTUEFxU1Q4FTjK66+39re/tuEPvv35H37n8z/87hegP/rOF3703S/++Htf/PH3v8Tvs5tt8sXNNoH54uabfHnz739p802+9JNNv7TZ9z73ljesF+2AHGSGdmipnkjmjOx2ro1GJZsONrTXlJe+6PmvXO9l/Hj66vVe9up1k4F/zbovS/EVL3v1+i979Ste9pr1XvZa8BUve+0r1nrt+mu97pVrv+aVa0+b0m/rG5nsIpsBUibbDchOCVIVSseqQIMx2TT8/y4qZWtYUdJQyyNGqjH5y9qr1l/7Yx98x/+9/+0ffv9bP/y+t36Ql+m73/L+d775fe944/ve8SZeqe97e32rvvV173rzazd482s2eOOr3/6GV/FY7jeFWe2OwnbtkUnd6dgJ7tNm6P6Hnvzbzf+iXEwC7Oeuvsqm39xwr51+stu2m2z/q29u+/Ov//6nX//dz76+7S++ufM2m+y54+Z77vzTr3zuo8N9HkSkM5nkcs11f39q/sLi0tikkSot5eHH5x129JnPLm7d9Jv+0N9vuevOux8aDDzR8s+zCy689Jr585+VZJ54dbsMKLnIMwkHT5NiQGtaPu0w1htBwX3DkyMpbWsHrUJleM55l4sMiXLh5PkjH3zb7jtsPmPbH27/y2/+7mcbb7P1RuC2P/va9r/+9m6//+E+u/50802/8oLnrU60bWWffNvt9zzy+HyEYHJ54dKxK67+S90ZJpQiK/v4h94xc7vNdt/uhzv95pvb/eJr2/yUtF/93U832u4X39j1d5vutfNWP/zul170/OcUstCgUuTyj3/+55HHn3EpiRSnhIBw19RuSYUyuNtZQvLGhsI5mtUZqBVkWWLlaSjpxOWgL9VAeRITpweGnIGhw9IpmWMyF21MiyF5kSCYwq5+0GqH0F4QGx4grx7ythJtacVHVZBSQd6SwV6xVW2xG9bGZGTHXWZMRDPJpjY1BFYksiW046Uo/Co5duxJ5//nnoclu4uqND+PCsgMeUCkf9/1wDEnnrNoGb/2NVlCtENDvcyksGuMSAEmbycV0I1dN1FaLi6Fs9NbvNwHHnH6f+7jJ4SC4/9gS2mIOS+BalvriacX7r7/cXfe82TT50uRKCtkfCTTNVAJRPDwigwPqkoVfPrxcE8pOk/8SJx6zNWUJeEQsp0pmSGwoUJORa9XmsaoiEXboY0GlCrJoGDeIoN2p5TGx5e99Y3rP/+5q6FhIptvLHHpH64bGplGpAm2RWquilVg0RTLbLUbkSehzfuUl1JYRRIrT09JtosLB2LleZBlYxBp0y/k+kd5oOBJEriL5Tu6bjhCwtRhlAwJ0uBmqdguzGtOkQjgo5VL6zL/2cWz5l7xqx0OPu60y596drQ0fHAU4EyWl/BWgmXnmJcBxpJZnVkR6B+5MySoJJHqw8W8tlztAAAQAElEQVQtYWC6CDVaWBRBD8Itn/akpWP8qoauc8j6mI30+EipF2GZF4F1YGErGpu5sVSMwCU5xuSCGonsMDeDAiMQk4/qVL2ZjJ9bm6amIqaYukBc64Q1TEh4ZxRK0BK+oOpcEJTwYDI5By6pJpUmfZmCiKLSK/nv+41hmh4URKmmUWnU9MQu4FB6bobcQFkpXwW1EqiZFYTM8apKy8WSZXeUIQqsbbn/13/ee+mVN3D46raqg5F+s95aL3nfO17/6Y+++4uf+eCXN/zwFz/9gU98+J1ve9MrX/yC5/SbmpGFW2Tlo9npsy/5yz/uanojzMvCxGU/s3Dp8aefd/hxc8ba/C8iWEXTH7n86psWjU7c88Dj+x166u93PeziP1xffW2TSQ7+nMUpMknQW8NgM1AKBF642IJis4XKpT807Zo/33r5VX/OyEyaI91YZcrwq9Z92fvf/cYNP/7uL2/4oa987sNf2PCDn/zoO9/zjtfz9XvaSJ/pRA5JdmtffMUNt/zrPvc47UXEY7INBzp97CxSzO5GwoeqEougls0YtktT0keAuYTKocoiRjKQ1MKCKK2aO3VIFQsUuZRkAgE0l0y3IhgQ8lyx5Cqgcum1nnrjzfdfds2tt9/9hJsppdcXGZw1KucQ9L8RSAJ4TpiBqsTIrC51RLcSI6OkNLJ8W9ZKSLa70FetgWLjRFxqXEr54Afe9f1vb/Sd73zlO9+u+M2vfPtbX/72t7707W98+Vvf+NI3vvGFb3z9S1//2he+/rUvfm3jL4AbffWz4Ne++pm3b/CG/lCPosDJfOS0TW9orXiWBouT3BUpBEOMBn/ecA8/Ov/+h2hIo4S6u7aMwNZD6SnUHMMQbxxOIS1OSsLitFo5mYjS/wLpEc0FWq60DnCJpEwld39KkxZn5SJXkQtHrhme2psyvT+FL/ar96eu1p8yfZhv+J1myqq9Dkem9xNX7Y2sMjQyvfRGMm8mzRqiE8wAG04ovFtvv/ep3+64/7xn8x8G03fFhR0Wv6cXLj3wiDP/ffdjZWjE7CxabJmGw8VtAadiC6QfWFHD1PdXQPNjFBefQgYOufQWLBocfOSsf935AMllArrLFXK941FOmnX+8adcYJaQhzO9LOyBd4fJsYl03xKoDmx5EjqFaO8kJ1nVP2PhElODf7JSMpSYi1GRmFlGcBqSSd5ISiu3BBHppgRLFbFHZRA7pqOIiVx4uIJI4yKXgCHcAA8GsCkNP0/UEwHJg0ZZrSg+JgEWZCEpVwNHkFOLOxImwUVrqdSqGZjEsqs5Hf5fxsaSF2qGFNKZMRVc/4vZeK6Itn59aFvuL34dYE7qrOWSggCLklw964wBi7pWkqNxMEwkIVTCoTRFeMC6JMFJlllGEfo8gZm1lQfNtCNPmPvok88QV0pjBqkpfsHzVnvj69b78Pvf/Kn/e+eGn3zPZz72ro9+8G3vfOur11tnzenT+tbASoCGfP/DTx1y1Kze8HSXXmmGev0hm7WUux94dL9DT/vTDXeUZopJ7v6ipYM/3XDL8ra96ZY7d5hxGGf4/keeJAO5SJWUwGi7jyO0v2059jx6oq0Q7QAuaE8ivWoJQcRT4eGR6aecdektt92FUqxXhZwsafXpU1736rU/9P63fOYT7/78p977+U+/f8NPvvejH3gbL1y+DvUsKcDME+ZWPfWsS/nhUhSMxR4aWeXgo06/857J/6VZ1Zk+8u7j3yHe+ZbXfOT9b/nURzb49Eff+YmPvP0D737j61/98ueuPr3UnDiDzPDk/IWzz7sq/9tvF5rTKU2RebF3FICOGJiWBYv+IVm0oq6uMg4bFQbc6BR8Z8w7tFpwc9q4Wm4vHNDgn8m5CovMoeoNpBXBwQdC001uJOwKTqPJYWwp00rYbDrzMZC6RdGh+FCbTmY52JRD7hMLxUGTYECYwOS4Eic1VRnkIb1VmgaUHaVRGb753w/tNPPIhx+bjwMxEhNhExDcsqFB61tuv3/zn+320OOLVPocmTZBpTSBE/5JuawVfO1DNUoiWcdSPYyZvGlK6fVGnpg/9s1Nt7np5v8wNX5BAk0Cvm2Ys8ovB9wA2+966JXX3tYMTcFci2QkcQaYMetkzrBLGqQid4wq49TbAsWelILdcPCmPLmUxraMLpJISJIs0g5yyajpHmVVg2XXnErAZglNIjkJEitVspb7pbz1za9ZY/VVSylGqbj73gfuuu/RphnKoPRMNcHJ5lWdmCtHkkS0LftAWkpALqWPcwunDMSLzJG8ZUvFLuZfzEQHZaXKdudmAA3JnRoDRHqSZyW42ZZz7ETS4YLG7HjpD1xGJ/zQE89ees0N28444kvf/u3M/U659fZHBh5y6YtYQrnBYEBlIioXKYzgYGoqh9bmStzLYA+H6lY/u3C/VEF2f2jqRHgg7h+PDbx8wguXDZ58esm9Dz5x0z9uP+eia/Y5ZNYPtt7j578/4OEnnm1lcuf8jAyVlpwIQbZVXAAXyfnnHCnJFaihG60c9V9o0aQuNXTFOaqjKnJT1Ov1zCkqfD6zWGXWYUGj+jt5CINtSsIEYoOCKEEYiRFkCAYQDmpew26hoEirFVYJqxIyN0esilEZtLhRoFwKAq5JhWeRAcEpSdCkZGy5cXrDRGr4xuXegiWDg486+/KrbhgfoGRvOIl5utRB1BVHVaJJhlIt2S5SPnLPPucP+x0yS2VqmBaViYHGWl957d9/8ouZhx1zzjOL2qY3XNwQYDdPLxzf/Bd7b7zJ704+66qHn1jspv7Cwj4FyUjL6hqVxqruZkyu9BoGIbnYOTgZ+GLJdlEpZWiirDJj3+Mvv/rGie64UK3IW7O39EHcbhKr45/3c11EqXYnPUJ04OI/3HDIkWcvGyctz/x8PODfiiQFRkDLhAxiUp700GI0WBXOw1GECGu5SLaAlkvJsTqUsEUuKBgwmU1BdAeN6hhV0/HYyQgPVmOSLjBYB/NSHFyh5nRRkqbpDZUm0aWHBh1oZV7mhRElWFAOYCghLLlNa9jGUhIMyaVJaYbSLhsv4oVKSmrTStLQrRCdRxRgpydeZEhqPiQ9/7kvX2etddd52cvXfuk6Ha710rXXWnOdtdd8+TovffnaL4Nf62UvXetlL1l7rTXXetmaa7/spWu/9CXrrPXS566xKu8YN6Rs1PC84rbhV6HuGdLQsVYe2JH/kmMeLBOtly6PR59ccN1Ntx163Nxv/nDHDb/+q9vufFg0hEqpTlmtRZEuKoakkhOCriitskAc1Cv8qIGkFbCCN4yVtFpoQ3ErdTN0VLSYZ6HRUye1UXZOWJpeBjqIJ7iYj1W94r5dilhnL9wIRHKCjKNtVSY/dbgpHFMnUL/NfE6zRP30nL1oozRlaNpf/n7/Jpvv+Je/3zEeau12RZ1jg7jq2ps3/t4219zw79JM7XnYlBHMYNeGdFSSTR0K5ouByCEOQjZQCjssIODh3PTK0NSHHl/8nR///vQ5l43yb9kYVcRazNqbhx57ettdDt7/4DPGNNIbmuKGJTduGpdGqpkEUGMKdgFL00ducya3YnroJIYcqck6hAMiewhFOYm0QpgS0bu+h2yVxmY6shZVcAWJfFFZY7YhoojqAsFKplTaXWDlJQYrvT2pV2mKULgYrunZTXGTtPBiGSKnEwSRoIWp4TtEAVoJ0MRuZpYQkTWmX+G+d81s90P0hI9Xovo2ebFV4TwqIQ0CK0hCjo1bC2WI7lUHmwokSyKWf9xmq/PBySa3XBgIiDTjwfzUwAKUekOSKZVxAnkRLCDF/7mI6w8NT0a4FLNqybhayZvBzrki7N7wn/9+78x9j33kifx/XWBbomymV75+WhhWBRXaKkFwYceJphXmI9l2ux76wMML+TWQRpX+UOkPP7tk/LgzLvrBVrtfevU/x2LIpWcVl9IMTb3qult/v9vRm/9yz+v+es/ydiTcZCl5kU0TdCJC+R+eiXtBOS2kTh4TVWrxowhuD8RACEZFhEtvyWiz3W6H3fLve4MFu4LE+hsW3oajtZSIuWMcIbUt3+GCz0tPL1h6xHFnXfHHf0ThljFbF5AyvGBJ2exnu/zz9vtavJVzoWdMDCouqCwk1MGsHac6FfTZxaNHHX/O5dfc3DrTWsV4c4FKqFlFfbbFcYIQy4s066XCQGKKTBthqchO0qqC5Rz5yAFjHKIGtEiqW6fkBBSLR0BVRtRT104mtYmJLlC40+VMGlmBwriJOUGhRizVHzXT4Z9zk4mOuTpz4mEaPlze/eC8ux986u6HnrrngafuefBJEPGuB56664F50Hsemnfvg/PueRCf+fc8NP++R+Y/8MjTT85f3LYuLrlOxv6Uf9z+0Fe++5uzz+NjzdMLFi1dumxsdPn40tExfnK+58HHDz32rG//4HfzF0aUoTbYzkGEWc7Ti5Y9+Nj8+x+Zd+8j8+57eB7fiKAVn6p0fqVpuu+Refc+DJPODzzylHhGcy754N4bHh1M+dFPd9vn0NPvuPeRp59dvCSnHowun2D2BQuXPvz402edd9WPttr1qutui+7hzv5F0JJCo6KMjU8sHx+Mjg/GJ9qJ8Xb52MTY2ABECY6ND5aPtTBJxwYwY+Pt2ASaibHxCdxGUzkxNs5rhVuE3nNgM7uy2QoORatccnjR0vH7Hp33wKPzofc/Ou++R+ZBH3hkHnjfI/NzdXWNHYMJvO/R+Q88+tSg9ZprPn/9V6xFuzNttG34zzfetmR5ONciBvRySbri4qiAKyRGDlC0lBYubsYm4oGHsxhmBx96dN6zi0ZVz545I1LByz0+FI4N2rHxwfiEoN1//jc+MRgfDMbaGKcDaRpgWj4+gX4MU2INoVHjg4mJdjBBtwsJi3hslKeeGd10i5kf/MyPPvqFn2z964POvehGDsbA0+rupJtlQGyuB8kghusC5KYZm5gYH7S5TRM5r9SUXFkUzryYCGSV+ZMnISiaZuimf9791e9t95mNfv2xL/38I5/b4gOf+fEHPv3jD39ui09v9OtvbbbbNjsfc8wpF13317ueenZCvan86/8T8559vCIMX9TtIhf+QYa15GrglP0huWSJD/3t2MSAkkBaMZZHaGJsbJyejI1PrMB2Ul/bsnxigpDRcc4eDoOx8fGx8YHJylyZU4DVsNHMNmiDzg8m2ixgEBMTg4kBW9CiBAfoB+0gfWICCuIzaDElTrS0a2KibSUD9IlDiaBgNv2/YKdPRJEsDnC23c6SZJfS8OkNbWcJQHhhNTug5KWkAenuAu4IPCQUksrIUwsGv97hsO12O/y2/zww79mFy+gIxeQsmDmaki1mSBamDAbtstHlTz+76F933r/T7kftse8pYwNenKVtB26GLrzy5k98cSu+UP3z9kdbT1Hpi6NLMSQ09ik3/+uBpcv5EDlcmiGOwTMLlzy7aOmzC5c8s2AJzyXug1JyWzm34xPZpUGrpuk3aNV1wLbyj5IE8MxUy8pwJnKe+AAAEABJREFU6I08+ezgF9seuPOeR95+90PPLFg8upxm54lgcjoDTYEgsJAjdaPLx+Y/u+T2ex7ZbZ9jt931yMfmL3VpTEqeECy55WFBO/jEQmgEH9IsEZslBJWQSTjDsUZToexGshvbCksqUFIErJzQ9G7467+OPOmcw06Yffjxcw4/YfYRJ8w+8oQ5R56YeNSJaOYcdcLZR4DHn33YcWcfcsyZhx51xkFHn3HQkWfsf8SsfQ+ftc9hp+91yGl7HXLqXgefuueBp+x10GmHHDX7kcefdpOzBt1wN1nWwyKZFBmdcy+yqiwmUuCJ3w5EpbixYnPMkmPVWBQmwirFthTisgwUMjNNcFejBDOIW741PB7QjMHT+QiYiOCwczu0bXDoBy23hioj9jcxqjiIwSAmBjFoKw4G+A8wSW1EZF4+NJSxCc+afdXHPrfVhz+7xUcSt/y/z23xkc9Bt/y/z271oc/85AOf3uz9n/zxez7+g3d97Psf/tyWm2y15yHHnv/POx6b0LTe0FS7oRhuwPEBVWnABG7krNyGgnRmcgVSitB5C5btd8Rpex9yyl4Hn7zHQSfvfuCJex144p4HnbjXASfufdBJex180l6HnLzPoafsf9gpBxx+yoFHnXrAEafuf3iK+x126r6YDjp5r4NPxnPPg07eBzwY0+l33feYRCfVQWSHg7XWKgozFz4CpgCfX6SzB+lq2VzKoUg1jPYInRFRWTjwr/JiLFwupb/KXQ8s/N7mu37t+9vufdDJJ8+66KgTztl216M23OhXP/nVvg8/tbwtU/hWFhlpaDEbyJ0oHlPciRO5FdRGLgE4QO0CrWioDSUqt9zYmpGxmLbDzOM+/eWtd9rj2BNmXXjanEsPOfZsHg5f/OZvzr/0r+pPbXp9cZZsmQmLG2Zs8zy0Ylv4XCs3ZLKb/9zz6E67n7j9zGO32/3Y7WYcs+1uR24788jtZh61/cyjt5t5zPa7H7PDzGN22P2Y7WYcvX1qOv3R2884Gs12M47atuJ2M4/efvdjd9jjuB33POGgo8955InFkf8bJR6hhUknOA+JkwWMD1pqACdaTqMmBi0+g+Rh2onBAHEiRazBQQXHB8EDQwboQz6SLBVnl0pxwGKx08a3o9KbqNOND8g2ieNVM/H/aNqJNsYHOHQUhgJiom2poGLkFKUZn/ABh87+3S5H/G6Xw7fZ+bCkuxz++xSP/N2uR/6eju125HYzwKO3nXE0Xdp+BsxR2+52BD+tbrvbkb/f9XBCcNsO6+5HbTvjqB12O/a0s/+weNk4R8xFTb+X3RhMzj7B2idajgfV8rgeZJED+P8/Yp2YaDlFFQeDQTQle2A3kiXVriThuSPAPJCs7o8N8sglV/7ju5vtMPvCax5+Yv6iJcsmxnkeiNOCL5jnkhKDU9nKJdSMD7RwyXL+HfvUsy7/8c/2uOmf9/MpV2RU4Qlw1AkXfOJLW+994FlPPj3uZsRuaobculKGn3xm+R/++M9xTXVvCj8ELB9vFy4dXbR4lPfJgkWjy5aPSSqlx6LGJ2I5n0Un8sNPZnA+EjFKpGp5iEQ+D9n3yHVF1Xro7ocWbv6rvY466dz7Hnx8waIlY2RJV9mWCoO4oc0kOZJ2ImLJ6MQT8xZdd+O/t/rNXifO+sPYRBZs41SKepwzVvHoU2ObbLHzocfOvvv+x3iT8hof5HvRmTAGprZki2RlYvERZfGS5Y8/9eyV1978g61mnnzmFQMNuxSaiAPo6gkj1eAczINYdVVBkSyIp3v6GSlyjkaccyRLWNVY+ScWqCLTDhYkpbINLBEpE0iTlFBSDhtvtSwukhGyWhdxaGQlclFUF14VdhoshoyxJHJmlTVj1MJhQ7wfBcU+Ou5fbHvIV7/3+698b7uNvrvtV763/Ve/v/1XN9lx4012WIHwO2606Y5f23THb/xgx2/+cPtv/3iH7/xox2NPvmiUf5gvjSmKRHZveNrC0WbbGcd8d7Ndd9z9mIOOOvPIE8495JjZO+1x9A+22u3QY88Ziynu8zmJ3lCYbY1P6MTTL9vo+ztslNNtz4wbbbLjV7+/Q0Uqgdl+o01Aiskyvv6Dnb7xw52/+aNdf/zTPVsNs8q8Cfi+6z7Jjznl0u9vMWObnQ8/4MjTjznl3ONOu+Cw42bvus+xm2yxC4/Fh55Y2hviX3UbmiaA6ZOWZxeNnXD6pSecfhF4/GkXHXf6RccnXnj86ReekJjiCbOwXowGPO60C48/7cITTkOP5uLjq4kMJ53xh3lPL6akzEpyWi8xslTazWaEm+v+esc3f7jzRpvu9LVNWM5OtHTjTXfc+AcwO32dDv9gR8ROudEm9GT7jb+/w8bf2/4bm+40OqH1X7H2K9Zbuw0PItooi5aM3nzbXaPLkWwX8oNSRB2UHFvNWJHNjlBtPGfQVtMfvv6vt2+8CY3dfuNNd/japhSw8/mX3ORmiBsXTwMqCxaPXXzl3085+w+nnH3ZyWddCj3lrMtOOety+JNhzrw06dmXnnjmJSedecnJZyY96YxLTjkD/aUnpdvlxJ569hXnXXLD0/wYQp2k5fEUvUeeXLJkeb83/Nz+yBqlN0Xuy2wNt47EQbdlW7J6NJLCEag83Ju/YPkpsy8/8YxLTzjj0uNPu/jMc6558JFnlJk53y0Blq1GCZYs26W3aMnEXfc//dATy554ZuKZxVoyNjTQNPdX7015ztDU5/SnrNYfmd4bmtb0pzy7eOLnvz9ks1/uv9kv9oVu/ssD7n/k6bYMsXez5l512twrTjn7yrMvuPaBR58NnhTMGYPlE7rmz7dRz4mzLunw+FmXnACeccmJiZeeeMYKPPPSk5LHeukJp11ywukXg8eflqfuuNMuxvT0gvz/FyeAZctjE3HjP+6adc7Vp8+9ctbcK0+fe0XFK0+be1Vq5lyFMvGcq2Z1eC5Mes4658ozzrnqjHOuhDn9HJyvuvjKvz5Dch4o3ACWQK6W7iRWuWMEpEtK6YQIhhTm9p3yz9sfuPrPt1z9539ec33Sf9x6z0SUdOCAMXSYcUTky4A06NhBaPCBV/3orTb30r9/fdPtf7ndQYcccza/g1x8xQ1X/umv1/z5H3/6yy1/uvGWa2/65x9vuOWq6/5x8ZV/OfO8qw85dvZvdjp0k61mnHXe9ctb/hW3JzFjcek/OX/pvIWDMrQa3+LkXlGhcirNbxw5sZvSw80F5+bZpRMz9j1l+92P327347ff4/id9zpx3tPLlo6Vs87/02lzrgTZ2Uuu+nurvt3I1KukrEPBXVzzCWozu5ipGZoyUaafOuePX9t029/udOhhx80++/yrL7nyL1df9/drb/znDX/91w1//zf457/edu0Nt1z+x5vmXPjHw4+f8/tdDv/Wj7Y/ffbVoxN9U575RvXf3hXViSMXIR4cND1S5TqpnfNKjDAM6exS+A31wcee/ue/7v3n7fffevt9t91x/133Ptr0yN+U3tCNN9972HEXHnTU+QcedcEBR16w/xEX7HvkBfsecf5+MEdcsP+R5+935AX7HXHh/kddeMBRFx50zIUHHXvRoeDxlxx+wqVHnXjp0Sddeuwplx176uXHnXr58adfcfysK06dfc2zC5fbJSspNNfwXLKSomEUQliFAVZ0UEDBIbjQ1jMR6FhrAK3aNlpx5p+cn7908DPHU/Ofnc9MYwO8ahBjIjyPuspByEEudDwbm5tuvufcS64/79Ibzrnk+nMuvn7ORX+ac+G1sy/449kX/mn2hfDgH+dckPwK8U9zL7wWnHMRztfBzL3ourkXXX/b7Q8PWqoKuSyfaDhm8xa24FML48kFAU1coPmLOVe9hWNDywZT2mbV/hQeJs/tD6/KM624KaX3yOMLZ1/wpzPPu+bM866eNfeq8y+98cl5S8wBy8LdgbIbRjHJuFm4tD3yhEuOPPmyo06+7JhTLj/21MuOOuWyo0++HJrKky47+qTLjjzpUjboiBMuO/L4y4448dIjTroU05EnX370KZcfdeofjjvtD8effuVJs6488YwrT5h15UlnXcNnfbs46kRKah7FhilcYoMi0MAIsGwXubIQiYOq3r/+89CNN99x0y133Hjz7X+95c77Hnxy0BY8Qwy4k95ceJfeCDfmv+956rhZV8w44Mz9jpg79+IbHn5ycdNfxU2/iO+xdePbljCS3HbHI7PP/9MZ5//xjPOuPvPcP1593T8XLxvLCtxY+Ye3EgzDxsAyryi7WLYKKftDI6s/Pn/5GedeN3P/M3bc4+RDjj7/TzfeyUOjP7KK+KdC3ESAOC7hsnhpzDn/Wo7B2RyP8zkzN9730Hw3vVL6Ty9YPvuC62ZfdMPsC26Yc9ENcy/+y9yLbpx94V/OvvDPsy/881kX3nD2BX85+3xElDfOufCm2Rf9ZfaFN8656Ma5F4M3zbk4+ep/w1kX3DD7wusuu+aW+QtGOVBtDJaODq6/6fYzz7/mrPOuPus8aOLZ5//xbPhzrzn7vKvPPh/84+zz0CSe1THpf81ZlZ553tXguRddf/d9T5XuP2xxEWB6IbMDEmvkAu1Gbh57atGZ5/2RV8msuVee3uGcK0+fc+VpHb+CnjH3ijPmXgniM2vulafNSZ/K82a56sxzrp574fULFo2yxeGhP/zxH3MvvmnuJX9NevFf51x805yL/jLnIjpGN2hOrv2s8/981vnXnXkeWP/XgHSD1l1ww5wLadSNsy++4SxainjBn8+84Nprrr1t0PL46BXzD5LDV1z7z9PPuTorzDKuOH3OFZTEGy3fa3N5zWVJs+ZeNQv+nOSps8MMmZuVnzbnqtPnXLVsTE7geOdRCVWIQAsXgIRBEvO6lP7w9AcfX/rrHQ/77k922eOAk08+89LzL7/+8qtvvPrPN1/7l1uvv+m2P9902/V//dcf/3Lrldf+/cLL/nzymZfsccCJvKF23efER+ctbXpTmI1sPKOKm0eeeHZ0vNcbmlYaPuQUZsIUKvhYDI0Lb7TGbvpDU6/9y+17HXLangedstfBp+x98CnnXvjn3tBq//z3g6ecdQWfKPhoyueEG/72nwwJk0dqKw3msvJ8CU4sLTUh8RXu6cXe77Czvrv5rrvsfdzxsy4+/7Lrr6pvqL/8499/veWOv936n7//8z9/veXOP//931dd+/dzL7ruiBPm/mLbA37y85l/vfWhMjS9NEPF/DN72KUml0txM7xwqfc7/MzvbLbjDjMPP/qUc8+58JpLr7rxqmv/9scb6NIt19942/U33XrtTbdeff0/LrnixtNm/2GfQ0/98c/3/Mkv9/nXfx7rjfBRnGycVFYRZJRhuJLCW6xGqi6G7zgBrheBBbUjJYcF8iIlQSpSy5gDbcAWRekt6sc1cIYVSQMf49NiVl4W4OQmO4sVDd/KUEY+PAjuECEkKoHAMA087tEyjaKamc0CsjB+n4je8sHQ2KC/fKI/OuiNDoZGx3t8DhidgA7r0SkAABAASURBVCYuG29GJxrosjFof8n40JLxZrwtds9uJJs9SGzYgN7I6o/OG730mluPn3XVocdfeMypf7j0mn8+/vRy96ep9IMixdxRi4lQs3xQFi6NRUtj8TIvWqaFy/hW7SXLO4ylMKNlyfLEpdBRcZsvWIY/3zFoHx9GlKlskveGp/Nh8tqb7j75zGsOOvrcA46ce/TJl1x05c2PzlveG1mNG8ilMQ1QI0+C3Ju3YPn+h5/Nm2D/I+bue+Tc/RPP3e/Ic/Y/8pykR8zd/4hzsO53xBwS7n/EnP2PnHPAUecccNS5Bx51zoFHnpvM0ecdcPR5Bx55zhPzF4asDiKnCCGnJhjlQdtbzIrAUS8eLYtHm8XLGla0cLQsGi1LRll1Wby8LIZf3iwZ7S9e3oBLRsnSLFwyeukVfznz3D/MPv+quRdec9rZl956+wOtmtqCID0HhpnYaq0AKphkMcDRb04AjGSX8bZZQOfp+dJYsCSeWdyOD4rZ0MAblIqfWbT89Dl/3PPgs/Y6dPZeh569N3jY7L0PO3ufQ+fse9jsfQ6bA+572Gxwv8Nn73Po2XsfAp6VbjCIh5691yFngYcdf/4jjy8QhySntlWKm3xeuFHhnx2KDOQqYGRVtFwsJXUuq0VweejxhXsfcia4z6Fn7XPY7CNPuuiu+5/AKWKQi5vsAkFFFQjK0Y3dkxtlx6AOeFsucmOwNAVs6OfwfQ8vuPuhZ+9+aME9Dz5z9wNP06ixtnfWedftefCZe7GuQ84++Jhz77jr8eJGOSl984V/+Nt+h8/Z94g5+x0+d7/D88Dsc8ScfeEPm7svnTmcRmWXKHifKqLkRO3H6crzds4BHKSjzzvi+Iv5clu7UEuWR8faCy+/afcDT9/9oFkzD5y1x4Fn7H7QmbsfeMaeByU/M/8P050x88AzZh4Aztoduv8sPmTMPGBW4oGzdq8hex58xl4Hn3nirMsfn7dIKqQOyZYg0OQYQhC6oZWQsp00VcmUZmjaWedev80uR2+z89Hb7HLM73Y5+pBjzl22PFSKAfzqTnVP+3pj8h5rzQMHU3DlFrV496fyLeWmWx4+7rQrdt33lG1nHLvNbsf+ftdjf7/bcdtWZptdj/kts+xy1E57nXjkyZf96ca7uLXdn0Jsm2nyojJl0U3w1Uq21ZojnpVI0FJKw5dzLHIDTgyay6+55cprb73qOt6Rt/Fr4uLleurZsb0POX2Pg2gph+qsk8/6w9jAoQQDNbgTqyqJUBpSrKY0/ZGpqy1vp/zxxjsPP+EifsP+7c5H/GanI7fZ+ahtdjnqd7se9ftdj86F7HzUb3c6YofdjzvyxIv58LdsYqgZnl4KX+pKW7M7c7p2TDKZVVxBAFuWJYWNV7gox0oMNHbTG5o6a+7VO+5x4k57nLDTnifutNdJBxxxdpP/qEKa0jRDTX+V3tB0npC94VV4z/VHpvdHVu0Nr9qv2Bue3kMcQoMPFFyth+fwtCZxOtWSofBxAexPK72pLvnwZ/pai2QmspMWAZbMVXnlsiREK5UCWDRbxeGAr2bYQX4Vd3P/Q8/sc+iZu+x74q6JJ83c/+Sb/3WfzL+0EFHdO+IuWw4owhANwnMuvG7nvU/cac8TODk77nXijnudBLPT3iftvNeJIPykZi+6hHWSokznPU/cMfEEPC+/5u9862vbiTzMecD4nATyDCkueZzE82Qlw1NFjZKaOiYLzdJ6t931yMwDTttt39Nm7Hcad+WBR8+9+/4nS2lsy/gmunIGshf0RqXps33N0LTeEBsHrfsywjaBq7A1zfAqTZqml/4qFVctQ+D03CP2enjVpm53NU0r/amlDNtsh3MGmYFbkZmcn0IUnYbPapRjO0VLbrHUAAlVMxFDx5/+h213O/p3ux79+92O2Xa3404560p+Bccm3PKQMoq9iEAOmYUO9/qr9Ic5UdNLr/7LM2Ww29EGyIzQ4FfXuOyam3fZ92SeBrvuexr0pDMv51+Aa2byWZGZuysrc5IqdoakJnNpVIZKf0q//g/PaKB7w3LTpnuRGqvIFpeb+QvGdtuXU3HSLnufvMs+J+1x4Ol/vflu84FYLqVXeiNNfyp3VjM0rfRWKT1+iZvWDNH26f3edPaFVpO/bsRU7o5maGoBaXV/atObmj3vT3UzpeSqR+QhcYry14R20ZLxM8794857n7TT3ifuXCnHkiO3014n7Jh4Ioew8sd3IvwKzF+Idt77hJ33PhnkXF130+293pCVizJA15VgycUJglUpvTvvfXzm/qfOOOD0mQd2b4dk8s1SXxYzoOgPPD2ZA2bNyPfIaTP2P33mAafPOHDWbgckM3P/03fb//Q9Djzt0ScWkB4svZEVOKXpT+n1pxTW3ofP5dM9sAx1ymm9NE2rLZrWDE0zTyeObjZ2qpopaoZLb6p7Iyq9UlgOnzB7x59+2Yz9T5mx3+lgzn7A6bsdQFXgrJn7z9p9/9OpcMb+p1Fz0v25v07nFpt5wBm7H1jxoDP3PIin+pk0XCq1N61WgjlUISga2P9Sy6XpjQxNXeOhJ5aeef6f9zjodB7mv93pqN/yVN/1qN/tchTn/3e78AZEcwT/Rrf3wbNmX3jDg48vKkP5O0KXk7vB+Ta0xU6UqmQaRFioJXOygwFMhZve8J33zptzIV9Z/3rOxX879+K/3nTzA72R1S695ua9Dj6Tjxb7H3HuQUeee+Ufb+413M5kEGAnk3ccK4RNLvKpRfY6yLiv+tSC9sIrbtnv8DnbzjyO1yvv2W1nHANuN+NY6LYzeP8eg54n53GnXsY/y3to9R5P+9KXiii5NM7BFYrZpKY/NDx9/oKJS676x36HncU/V/56p0N/vdPhv975iN/ufOQ2uxy5TfbqaF6Fv9v1qJkHnDbr3Ov+88Azzcjq3JK2rAQYqZI6GD67IqDTopHMypLYcHYSmkfrQARMkUp0DF2TOwuihJpLws2qa8kYAQhQmoUfnx2YOWSn1SGRiMdOmzKSqKFazFwRkVbMqIwn1sRIZy5G7Bg4ARG1AJwwWDwF0mTkjMjL6jwk4c88IL4og++PfESgTpMFq1z/VKwi99zkw46XdI9X+PC0pje1NH27MbeQrESZnK6UxzlrFTnzuYuVnFQX4crzfZIFKRzVETE5fnEUkyuBVMpMTA3bFO7//rT6SYKPC6v1uJ/LiN2TCm6yxGWuikQUQqa4N8XNSNOboj78iLnne1D4qfClN6Xkg2Cq82G6invT1JuqZqoKzxocprgZUeFhyutWQLAGG8Y5CaNyuVzoaXWWTjGJqeDf5SaVhKfS+cGClSaKsp3K2/794MFHzt7/0DP3Pfj0vQ857ZiTL3j8yYVN0xiQmSPH3CN1zP9SybJVLIHZWdVixERZDO9UUzOohJDym3SyxDRD9QE6jVWDaiYZePenld408bjsTy/9VZs+n8lW7Q3la74MrZJRQ9NKH/+ppTfFpclJSZpbzSAxTx0lquqkPIVSrtcJabElUbqBdORZzIOm4YE+pfRHCrxWNoGMrI6TQR6igsVxuEJ5dnini2OkzBFi9iTqDh2iUg8JW6WEi92ID08w4idYNP0oI1Gm8GIoZdiFE6WawnLjZrj0phocGjFVcWAaDg841Q04BZP6SU0r0jRVvRHjj8gN0q8t6o3IrF0VgrxScRkyk5ap6k2NZqqanAWq7PxUkiuzTSFVMs0UaFqbqVGmRjMtYDwlPCIPS7Vmtjl3W7IFMA805w1xkyWDDLI4EB8oouTCqvmNcMGiiQVLBgsWt88uHl+4eEL0X8ZsUgUcvMLdW83IQpJgrEkwG6NGNG1oFfVWGdPI0vHegmXlmUUxf+EAfHZxLBrVWAyX3io9brr8wNSruQ10WSi3Y6CF7OKiRCshKQ9EhWihscghU79KX2W4Ut4iTajnhrt4ivtT1Bu2h60icX7oEZ1KtobLZh3VJNYJj8bOCRs1/aY/tT8yvQxNH4uRhcs8b9HEE/NHH5u37NF5/FPq6NOLBiwwmmlliKfHsPNxlOmUM7hyJAybeSVZMHk5eUEFWGgbu0gGnUxxQmma/uNPLb77wWfuevBp/v32rvvn3fPgvFJYIJ45h7jf8yET6oARZHp6BEMrQUTlUEtp4TpLighkyiR4dCmQFTRVlqkKWkqWlLJMYXJCUmEURAkoGUgtdazgqTHqrVi8YPH49X+756rr7rzi2jv+8Kc7/vDHfz38GJ/tWHUWogpUzWiu/2LqQqVVr/VwW0Zaj7Qa4eS3Jc8/tPWUiiMtJg+lG57J91v3BwH2Bu5PxNAg+i1fQmphwYOD+4IqIyKnZI86RO6mr2oeMlXCpZrpZshF7HXhTp/iHnfuiJshF76m4sXyQQPEQUEYVV2mjsg5WXRFep8KdDQ9KfmzY8mmJqgRhxUhlaVyRZsHWeTIvWLIYtNq50yyEgWwe3yhVdrIgsKyLVU0wHLyPyt4+PFFjzyx9KEnFj/w+IInnl484M7qXLDLlaWotgZmthCQWQOj8TAyhSTFRrMQ3Mj98LA85GZYzXB4KHhERFcSfkVKNO+s7GqBQWNbFCDzV9IBT6ELJoTNrglIs6reCckRxXO+jARPA3NOhlSG5KYmobEmhI5lGvJoBVQ+aGkqTOFMZCcjQRPRKDXpZCBDkqepkXZGh/suI+JkQnlo57OdSkbUo5JkWgprksnnOW7NlEjNFBmGBzumKZztiKbOm4mZBzRzOwmVY0LDZkClRoXjN8X1DeI8jVPdn6ZOhDZTxVuG90Wth/dL+vSnsB2FlxQFgNSQe2RJ7FtwwDyZnldsbnYulJmrEitrRYKmjSqok4AWs7KJkVAzKVWZlG1JPy41ZmsKN84UHs4Uk2/YZpp6q4hKelOCOpup6N1MMUwzzWC3LmifjwdTCVTDu68ogbKpL1OnxEWjJAMCjLmUJII6D5mbfm9oKl+w2zJ1GW+oJe28BeNPPLP88adH+ceq+QsnFo16XCMe4hv4VHNru0aSDCwBkUjIpNyFLLxKuUKaEsyHjcaE00mS7VJ6TTNceBM1bBbYc2ncDJUeywFZEZ89+nIRQKDNWDGnYyayITIBlK4mRctJdc+9ab3h1VpPW7K8mbewfWze8oefWMJXRPDhJ5c+uWB8yVgTvWnN8PSGT9H5mCpOgMqC41K9AsEstjSlN9QfmjY0sqp6qywfDC1a5mcXxVOLJp58dvzJZ8bnPTu2aGm+x5v+Kg0fFMsI8UoI2kBRHACHU1GvybJVNczBQ5gGGedUufPMozLJ4UIS0N3jN1eKKZwJgpThDGSuEFsQCEFTVkxTkEED+IojaaYjHc4iqAsOAR2bFRip8BRKe3E1BtOIRCRozZhYL5ZX1CgBRzD980JTC+lGDDBynT1ypIaQDKY3LBy3WAgfQypDwXZKcimsJWxL7FbPamxLHTLAqANKQgiuXGqrIrEKHpRMlCF82BUB4sGbN7BypakIF0uI6sAEIvWK3DC7Cwx1WfOEAAAQAElEQVQFhQE1KgwmwPQkB67sUpDask0Sp8BCZRkQ04XRSx3FFFwCQuZhHW0VoahwooPh7BnbzrJC6PBINbwAq0g2PjUl2mLVymVJ9UOqrYqWxOXSTLTN4uUGFyzzgiXiX/yiDKF3vqUcFpdtVbAnmSpB0u7QpBauspHFKyJqgVJGtemTmpUrcjFAOxvjwbKUkC4KFMW5nCBFx7BraF1wltJEMHMQgw/GaFEYFxmd2EpGA1XGR0Jgh5JNLkeJ88B0mCoqwWJPlTKTq0KRJYIkkRh19t1GKfExLDNEpo5QoSfInU2ifym1xEgyYu2LKtj1BEqGSY8Cq5WhMbDyRjAZKAkjZruK1cB0RFELOpiKRQ2zSIJiD97vDEiqEPycEdVdDDb9LLINwc6QiSU0LDRbRJrEVNiahFoCJ2RSVKiayJhPMRaLCI3OD69k0h89608qWm9mJ2nr9CjituoUbuyCQXkFnAEh2ayODud8pMw41VUnyePHPx7xIS11deGo+ArO0TfHI/IrruSezWoxSTJQCWLRJEymxdSmhpEHBFxbaI4yWMmgUbrmJZbKq14yZQkoIWFIibxBCbJduMAiW/y55PGTbQlawmE8TWwmdEIJFalXDPIVrqjpqfTkJjVq3H0qIqLlF/2wTCYkBqlYgAM1Y9d4TqAMqN48MJYxclGd7PQtYctFXJFMoYYoTZvTdQdcwhXnrDjgO0+RlEvYFAoD4gwLNZNH1LkDCY25pNx6q04lYbElq5Ti0tilw5AFX2hmETOSi+IDEb2DwECQZOfFevEIChAmdya8it2UpleafiF56dusEBeJhSjBJieeIk8OSmKjVBFDE5CqVMbaJmdxgUKaTGu2Bt/CzCW3BlMRjt1FUTlPd9VkavEUbcip0FcPzgAs3XLV0v50YuJOxjZ5U4i0RZLlxBDTGUAMocHG0YWxlWA7VUICKaBOR+I0rriwmKsVj446odOfOOFYFXiyEWiMKoSnOBZShoWVkEsw1bCIiGQKemcIozIERxDfVEpFvPUKzWxcbC4ZW50u10+SnD11qcaIVxAV4izIzAfnLiMqO5S6mCyPR4qK8cvMDMEcYhSyAQnBFsVgCgF4i8ucOBNOxhAEJ44XUyBIxbZU5CBCsuCjpJXLSqgWymAsHCVe/alNm/8HUkdsZmidRiYhgiyJCHanxaNRy2MNXTrkbd/W+VkrvpVKxS2TKVoS16pruImWgVDkOsNSI6JNzcVOlIUDSkZVMDQvMS8jE6eicyIu3dm4FTrjkomUemoIJ9TMqIQ1Y5Tz5pYqWnOasiAF7pwkmhkFXqIysRQURdVJlI0yZKcxqZSKrigpBrhIvDcHgYET1fmQLlTMgJZoaqgZBC0yIGN3zzUkkHgDJrWoD0YVMoFRgchZL1Xnjss2GpABhJEKNFNRdVq5zEKL3OlN5aVINKdRaeRGpKo0o9g3/FgLNKRQ3XVHtCmkTAjbjHkS7YapZCuTOCRXVyeEUtGmyqglODd2QW8aLpv14IUcIaVsrAJKBkSpIi86HMmLrhChaNuWhwVoliJ+3VBf5ieGITeNaal7UilmoqxACVbmSI1tFFxOQINjT+6F+yrk4XHdK2WoNMON+8V9uynml68SKhLzU89AXZdSzEySwm2lENPINjeORUVUhjoS8ScJaVhylaWCN+pAwyBOHZicCu3H6LRwWUWIlGFJrn+qUCx2hY0ODjOFGG1RS01gzo+CWGGlHIygowihtUmUMhdIGUnzKLYhZlU4TDBLSk8Xpw1V5g0ZHyaZtOIMp9a2kslBAC+FqDzqIIPzRMkKbHJ6hqoUYkpWKKmY8pBVyA8GDlarwH8SQzCBr8VZUIuZJoh1qd6WxtYKI1OmFQu2aInKNASiCYs+o4NXOtvOJTr1Uiu6JiD7QFSESOvKocJgWbILdZqSxWmBlXNZCqkI7zovxeXTUwCsxbwERDaakQVjAOGh1EwKMEVmRRXUSkK4zCs6maxgGHFzHZJwMS8llV6o59I3TOkVN0avBJOsZIQnU6ZSk1a2wFVmRbQGvtvCoB70Sc2yQIJtVFRh2Xk+lBkjNKAkGRudsLAxhpFrTHpW3QqCgSQK066A5pDekyVlB5WRrVqTLZPXEEghhlkttWJ7JTjCwVK5JDYUAxuqCrki0fTUs0yshBahQhN4khGRjOwzz4Ci+hZUVBvPL5jIKbKqmtG2bFceIzxskLXTMUmsmD1bEeoiYxBtbVknZkzmyHNhWRmCO0zkKQ+8uGxLBpRZQqYuaM6BhnQttwCxIdXkysdTg6ki2jpOkhRJp8yR00XGIpCtjUhNWknKenFKgUiGYN40408BtkAlCUn4yxI9hM8w20rRyCxBdpYWtIqJiI82ZeZliYmScIVE5irK04sVT85n2w5EUon5CcfFGDAHWWExdhjiLWeXTnIFiSEk1tZCxTTOo1LnF22mpqyQk4ZrqPPGFcaT910uL/sRZGYNLZ2SFBWTaWX+oiUEUbgxA2axGJvsEU4P4uBkdJFakyFoaAhOFXhVowSrpo1oKbFaolOWyIQKjnMAjurotFY3p8KZMBlUtCqK8su5nDyqcGlxQXR9MKESRkrKgrUCyGkxPbWy8Ko1blZ6me21CIfBapxVwYY3JjMtFcZkHXI1pxRygnAQrDpAVd0jJBhE9AQhmkXTp1YhCo80R0umqNXRJaW+xR9nrDUWFhd0yiRkzcIwkgtlcWGTQKt6F2hhIZiEBjMGuVExMtRsTfKFqm3jo2JSUqoAcyVSDBNbtLpQVVqpIh0R02HlZdfnkpTG1lYCYTAhnEHbWCldDFyyAPIFsVa1ZtERNqfaxuoO1PGN3bD76ETz1FYH1RZQZmsayB7KkTNiTMSAh9wiZBaGmBxhOy4XzoylmLao6rIbVhQLI46FXhsfYtEVssK1odIVE5hFQeiljOFE2wKqhgpIE1zpb9ENUVJkVeFocWXVktginIgJoyRrKw1IqEmwuxpSxCRkddmUvJMSLWopsjBXoixYsqRQySEv2eLk4V8lBUPdYtwcqBl5yHNWCetENCBhOOeGd1p8acVApCYlJicn5QROClHWUBBSqRXggiqFLIulYSymA0UN1BjJTV+7+oXQzSgca6nB2YEnBkwNYS2sRc0d022irKI05JVzKKEkQcMQhR1x7QF+0bboZNVGoG2YyJkiULJEkR9vF5tSSdHgS2MS3SiPIlEpqRgxQ4y3YBwtedFmsUFsVJ6UQnANMKp0Cqm1LBmQsBmqzIJiEtHgR3uwhZgUc5vKCDySkWCwElhMGcYtxO+AeMhZMMvHSQC2RvjastOXMgWHWFrhV9TgJguMwpAMmRM5MNTBAiMkFVtqWQe6ZFBJGNDmZmGOIqVTauEE8NSpL7QS1U3i5hOuTcrpa7mhJuNLrbQaa/JCYyZz2Fad16QPYl04aZZNc1DhDV+6SoyTRZyUgTZCUU5BoFCqoJGTVsZEFFtmCgguojHCzWLlbd68dfnVYrsUS5ZJYbEaig8Yo5JsMwdXMQBLeDaHVWALrpYlOgjMGok18+JPiiC8ldAbBVc4gvMinj9FwIoyEEDhiJkUAgJ/yWIgD6ZElAWNMVQlvEKI8iRQP0bmCSkX1rmHJVy41M2ZRaYkgIqy/lDrdIuignYlUg9V5ewm2JXB0/QiUxIqWRnKFTW9RbfEaqkgoiVMIjhry+T4EYzCyt5hCwUOCpup0YKyeV24BtflOJX4Cgg8/2diOauSjKNCQuL0JFOESTwdpIJaIrBwVR53wzCFMHAlUlYOpFAmcMoBASPLFDuaUUSYVuWMiEwj3O3kazwrQ5GsbTkBSorkmDlglRpNAnoCoIn/1WWsqAat1BqWS0BVMMYKBr1xlCwFV9VDSnQaVOLOZGtQGokq8BSXUfIzPC0Sa+xsngSCzZVuUqdTB3Y3djRUrUqwq8muQ+qrVkKmNLaurl4J4awDOWcWAntOFRK+SHVsc11GkWPVUGoGFjUCnI0puQo7vVDVhIzsu3HmLKXGAInZ8gyprpF5hFIVckOTyaIk3EH2Kl2rZzIiPrAlZkVFZGNRcqS55f62ZZoqps/GOqqNJbK0EBCRj9FIaHMHMrk4ZE4bF3zJ15zxzjDiFHgqI0K2nF5cKJJyOXUZgFUGajmSmaCiDEslfDrALdISYlIuqRLU6cNFbEEHZ1YiFkOrnW0hwNzcmSokmb+Kxs9aCSRYwXdNzeAMQIstJTipCFZUZYiYJ5gEpQAr/4IZo8ULrAmMSZhUoCjNP4vlAruqKM6kEw6wNUBsmSTsXddJaKVPMJ86IE/HJA2MPK9ipRKGEkiZ1hwsT2aBYR6Hai5KSoVZhCVQysldJnnzUIQthkjm5Mg4MCFSy0AkGtKpQvYuOAFGCssVxWipoyHJnAswSFBFy8YblZFZNxQhz0q98GeFEoSMIn+oRYk3zhxgMUhKVebSCsg8KOhNamifbMN2hEJdQeqUVB+pQHZqqIGRuWCUV7bFVIF/pkaH1pKon2whKggBnZxGZ2kOkcjCnKMBnCo6THclOi1bgjgveBslJGuq+4BBoQpFMtMTzU7K8BRfjTaCsAl1ti/ZLM5t3qKRTpmE3NxZrd2542xlKfkEdgJ3kFBZ1NfUysMC0mZ1BeAgoFVBCwN2TDcxIjNTQA1MiQusSroDmxZWAYdbjXJUAUOeYWaAs5yYppDTnrtOVaUKkYXXK0ssnYdsjLQlUslZaxlTUzcnmawgmFYyD0kaE3TH4o/HoLs0OKsCjsIE8ssX7SCOfIqcJIwJnbGCpqouzkBxzWTjo65RlnArNiYhgFoJKwRuftiKZrU4pwuyCLGqTFGJSMi5HFMWdoxwoPJCkRUKrfIm0AoINKRWyPylNsIMXGxF5WkMqkBJevQwLBQKOrk00bYUJbzRWWbJlpxGh2ERaAkpEWAQsYEwaFoZUAIjEXA1SMpo/PBIHUqi6RwCMZgVJWnO5dRMbmWmYWkOSyCnGi+S4KwOqonMIIek02UE3ubKtDjn0qgac9jONzg2dlESVqgMCBpcqoACzEiLv+SZzBaSOoDvGEUdU06H9DArlJwqAelALhAh3a38Q8CvtbJmVW8EFqmEruTkuMKQRMsMmVClssU5WIhVSxpGkM1e4ZnRtqsYrnN2tXBEUIoMaCXGxBYhkQkyBnXXSXQCilQ5M1BkHnKmqwnd5g3f5hLCqhCcqGRwoaLgSmt3ZSvqrrs6O2Qlm2eP72i5tFSgzoErNWKlws22appuQIJxeAUEIhNYfByPwJNLCCIJNluSZZsBGeooBoRGeFErUo3CqECPXWIELaCFYUgMfGW09ZyKJaSWNHWAGFutg1Jk/tCJXipZjOCkZCm7knoJSiGhBFxCTsgcvJaQpHSHwsM5BMBAlSbYrLKbGeOKLUdBXmM2bhhIScZakVUhMFRGydipDtwkcYYCAiMxmtUXRniJ2tNT2QKYwuOkmpRga3I/ZGESQEktV7TkpqboXnI0nCkiaaHRtAAAEABJREFUoyMNTk8Fnskh1HCH7KowEBQhJFsudl5iqBdEsjpAacsJqYBlokzIdBYrEFNyUUTFLC9SrhceKJQtZJxELB0HQzB8Zf5LqJyQ/2YJ5ge5+TkyltPTWTKv7SoI2mE1paismObnyFUMsSXzF9lAqSuewYCA4AJtSOUrYVk55pUGbKSN7IJXMiKr/l9I/4BEEkyTY24bEutjQ9JMBxDSmhIzdA9oGDkJvbZzsXUJQuUoaJTlp8TVpjodVYFEdcSLI5QsszLUmguM0r8grqyB3USXgVluN1LTpMDQMg1q40XF1JiCNQmkynKUYzXTmWrCo85BhSSxsiTmgsGNFOIyns47qvLMigxSM0gEPG6EVya9YcIwecYJypCU8CIrxooZgAWfToSiSg0DQpeZYpJXdAxpSFxpjhZ/JTul5BCYTgmRsuh5jkaK1HY72bHIUZuiqKwiP5vH5NljPiIx1IprRXZXA0pXkGwlhMyfbIZE2xmW1DZ6pnA6pTNyQcUgBgGOuh1omKBkZCs5XzctHXa0ecMp9SvqdwAo2nRiXIlh/CoSmWMdIjkyYkw0bNXgzdySAQjZleAk9eoCs3pE/1ePhFKqxYouYnOOSrAysVArEyAKqJUwCsfU5wq4gpMVuAWNj2TSBZkhaaR3Li9qHPNkWhSeVEz6MYDBpXTsGCXgOCnR1aogJTOBtYzJVdep0WHECcky20Iog1OVE4dhc0EMFJEJyI+1Q8KSSYc0RTKWUzdJZf9XtCsf4Qrp5qpRdZvkcwLLAqgmmZV8TqLURB4SCsIBdkCv4bBG5D90tIFCygX8z89rAjAossoI2wIRoSvQPNnYZds42+kJR18QQRRQoaqD8YZPLIKmUsnAgwKYR7UO8dVFVMyldGmTpKU6QiiZ6lWnQFQC88P+Dxq7yeIgFEbICqhSCXFXSKgaOWvopEwamnRhBKsoK01pcNVZljoV1OLPWBkliJWtyKoyXFJOh5ISrAQzcIFhdX9pczFWy6Y8SCM8ZHSapDkJJzPoAgMzwESWnz2pkwUrFm48IzDzIMhdJjmqEKKIIyAyEHalJWNIEjkRRkTmzQx2MjY1FVuszBVK1lg1EmpJVQ1FaXWwYhRqlsqgklOQpZtkBcXozhlNERBSp2g9qIWhqMXjmpaqU2ogrAQZdVJkfMlDfDpXuRoieCGmzbJdnJY8IzmiZkhkepQp40MCWqXsXMgGbWjYlqAEWFZiXnDwzC2sQmPZlpLWQYDzS5oSSB1Aq8C92ukMbNrqmuBJhovEZkRXBkoQfSrhCASlbkFKsJ2DiBLgyTEHeNsoK8JxzOSuG6g6C2oQEYxcJuoOUXRTVoZ+1nGSsAyMEV3tQYQEARmtTElrc7XCj8tcNYix5NlgBKN6kSf5unrcq1+mzvccgaSP4HjjBsUBHTSYxVH5Gl0JusL0wSjL5hIDv3w0xbboXR3TyWnJK/XUaiaumHtTdyE96kyqCVUBZR0nSSTAOzCYT3RW/bOYS+RLG1diShZ2kRVG3U0swLLNCPJjWGfmFmLNUKVfyPxJlac9SFjrxliAo3RjOuDJEqFSpqXP+IrvuKo+wQSVMxQjXgrlupVgSF0O07C8lDIcl8kXSHCSA3XuPyq4EEFRmY5zUEeNMv+QaJQUxEBjqcgJslUkBqilYhclyrYsiqwlUQV8KU5dTVlXHZRoqX5uE6Z066pNSa06iDokzfMkqrLILNvwLJ5KU4GVAezmQZuZ8cFTeWRtE1ckK7liw3Aic6JMH1RlVaAMsLKTJB2IrojKTs+8EDqsHv+PRszjvKozkizVC2LRmwKZNObmSMjkQQXm6lAULpC+K2c3VLjR56SIYOBupwvR6aUEpxomddlsGlyxU7HAyZYRiGplWOU7gg9M0sydpyV5VP9FcpCfGpSXDECwr/BMBaLIEHhmt8Wmq+rDEsjFMkHL7jRsbGUsS9mKdK01dhlg00BNtXNkxgsNDKj/B2wMIhGWyTRZnVNjW4IB01QfbvTWSuI6ixNkq/CTICq4pBRlQFZH5epdV5E1sb8MVMusMDljTEpZdb2IoS+wGZvtwYuB2xOE6cSYfHziJyASGMEMY9aoebJiTnVFFLJlgRBRVamsnaIkG6ZYlurF6h1lkienlOq0qkJMUjTseeewQhUimQMRK1VSuV1ZBLGVaUMuKEv6qli58IxAV4dIDQKIDOJgQOj/BzNQQE1ZKCUQsFvCGapJMLKqkaWlzrQfOTE1mQCeIB7RxsEmgkkJsp2KlLOrSLXsDCsGCuYizBwCwcO2suVM5RoiySZbMCjBddty1pS6Bqa9qumY2GW0yVEBd6poHMeAj4gERJq4lPasIxXoxchgLqyxYmrlVmaF1ZxTK10oCMQ3BQalFqvqYS3kTUYZKNJxuQJ8FoSba0IMkxMnJ7KBlSXWTkVK+EZ2SJVEzZJxdQ1CxDH5ZPnRFhYf1JGFJMHAgiO1tU2Tshkj7BxhJ4fkKM9CD0pwkwQ2ucwj28nz3luRoaqZtqoFEyw2MQ05oqMvbAcGgidLCpk/bCuonQpzOBzJdW0sNtusdLJInlcyOYq0WLM9daB7qrZKVHWZKncTf6lNQ8DyBSzSDpHMn1SJmd6qYCAZhmKB6BuVIiNJeTfU9SCqVtj5MJ9sfCUlpQHCj4Aq4RlUHcjYUxJsdWAkogstku2cFFN2jn3HYlvGJMBwnQhTZRFFEmgGKtUhOx2FHp7BXKBdQFWjbRijDZQGmBEJpYSas5O3J2WTBaspO9fE0nCkQNStKuCt3A40YEoEiwAl4K3gpCYv3DI0ffJSJShZBf4GWAjK/8WqcQhgctPJLKXWEvihBnPG/w6q3siJHY8n2dXNCEcOspEgb+X0T7eqR6BPgaflQnHGNxlGlGGAdUrFAoynVXWaHNCQW65eNT+s079UP/JphS0tVSYPcejRKN1yIjG9UJAu+1aDQgA6otC5cqmBg6cvXS+w4V4p1kkkD+mgmYQLjk2EVr461WjOBH6ko2C+SZhaZCPLaIw3YqC1ZcmAzF8kUYKTyAyR6TOiY+AmGTic0kqPeGojrERcsnrLVYUV70DKjDlwRfWA1sd9OgZalDUEuZAbfzizILayGhQMWFhoZHsDERc0RKeQF+eeEghGB9pWWZnZcoIKjOAx5LMlUAqlrfxDmwN5Q6ggQmbXCMEVKlxCatEzgBjb+pCVwlgJ49OVRTXCnJqg+aSU1RqAxYwBf1viiiSwsrIqUlVEVEJR95GM5YV5+eKlsJw2T37+NxNmZpMrv0F1VjRkSh0xLRcoPORwhrOLjF2Bk61X4MMSQoVQQUP8uusMUTCluSTX+VBUJoQWpEJJhiOWbx1BeZKSC/Ji6UyqgVhwLU4nR+v8/qKBqosTOAIMKMhf53MjnMlkgLJxbQ2hytpcAREQ4y4cZOfs3GJI6BVoMiAQqidnCjYxWsoizkFP3a3X6YeRIdAU3itiJGvUT2UwWYBRciW1YSwLSJJXhG2VZCW5gqRJGQZNpVFplQTA/K8GsQtJprtkiz/TFSXLRVxxQiOmxFCKZZFISnVYCd26EVpcIhRuq1O369kJvAiyLJkrcnu4b+lQ9ofBdlqgSiiocqTZJA8LY+2fE1QBTiqidyv2q2qqTaISKaPkto4lBQ6mEmi+bSkxLziHDasstyvKtWQVVNXAwmBRpkvwS3P3XkNBtSw7s+Gg6FZP4SnViyOZ/zoqwaDHOZPXhIgiIXxOQiz5ZFKHsnI6UYxsQOakKCXBuGEVhWOcFdpq0oq+FNnG5lBJxmbMKSULowCSpIC2ChDQYl8imQgzUBooO1KpUKckb6vgw3fg878YnR/+VZvmNidHn5GUz4p46NQ8coJULaIDMGQusGAt3RkhEeGs25JcgcUVFyMJQNXUgVhz8JoCJVXOv7KWPCaSQZuEVFp51ETJ5M8loyM4A6VUBkq2JPk0YQCRKC/oShUEpIB/E5BEiVkmCUujdUogm/KiquyJ8Uq1k+S81YayGqMWFiQCc7k59OycpHERSVisrMrbBS75gHOLlYlZabHN6rp5Ze4V9s42NPAIDl6ihS0Z9BnrloedAJaJClehIEwhTKlKXabBqVVa6HlNYzOwd5Lrn1wzCvgvU4W0uPBPmiopc3VInHPlctsYVUAySUBg0chKngVKLBGcLAVtmkWdcuVChrFaJaIy1dsmDkZo8xfIooIfdz6KxFAazcDVwsMRX2lQB3uUSgMi0FwSBO9KIz0lWWKBeFkJMCodK3i7sQsoqAxAmNm4dL3qOJXikjqpo/h0FWgSuvkwBhdtQeZUYqQOG52UFMYsFZYusFq7wCuSiGcI9WRAU73hsLTsAtNJpZGlDMoYowuIcsUhfB02WSOVaZTUwhuPkG3kUDLZEAlOk0AUKfGoSILSGEgPE53+uSRULqYAtqqYSlRsEMKT3Uwnk0qVYXcs/txwk9tGSyraUg2Q7F8qmS7SjAflpYYre4dCyl3A2YCYTh1YGEDDwFIDj194K+tpsoBUi2qcuiAUJ1WhIMAwWaAoAKWABkIAngQJY/UMGEtZxQCaLBepVRBF8UZmcQaIldETAw2hJjBa5bN9YMEQIamtKxM71zGoUCJbmVHCQreSpzYS4dBRGLKTFcZceEH/iwWlDUkVIWxdlVyZpGmQbTxxa+AcxbBJGDAwL2gVy1LaWovi81bsxG6LsGCX5HRVsN6sB0/U0MiFcDJ5bGKUWWyBhhU2jLgqA8lASRywjGL9+MChAjujbdUp0goHkrGzKSHNTDmpMZATMCV3MHbD2eKPU1A8CSIH08roK6pQXyRbMoiHMLJMYiZHI1qRGqmrj2oqg0e1sjkrNy0VCAydC5TMJFuh5FBlHRwQcfsLC5NyQxU7y5WLi4zJTc7H0oIq+PyW1FSizCcVYTYXo0IyYUqZfZe6JDJQOhoM0bm521yklGWmFoDcocwfLFRY4ZwzMBfPblceWmCojsUrAS/SpjIlOZtMhI1oFyritkAw6+AwBV92CKnmKBLqSsyHMUd6S51SCQEf3cJTtOsmkT8iZanIRpTFA6j2GhmNlC0TVWYIZr6otUXZfnRCwYWrMCtKUtF5W4VCc4mmoSHLJjMudUZXR9KmXzYnOHEWCskESsKjuiJRTw0I7Fz6L6Au7UCuGgQ8Q4PKGGXQplomgaaHhTFdMTHkDCwkWqYQ7vSnpMUwiOlbgn4KZU4brKnrBsFYKS/IWCcIBJGnG9sIkhAmJ+Cr9AxEcoMSLJdMU+gSR8pO/+xFW21QMqOLoEhZaTc142LC5CIjhoCoHJPKKVFFRMt5whc5lbECkDsWBoQnBAoPwtSEalsWwZ2KjjJCblk6nsyo7MNkZmpID9UbjCJsFlvrCBind5FssHDZblKn4iy/3g/1fAgwIS3jSmRng92JBDEFo2oxkiXVRFWXyv+XCbW2mk6ZQRkgQZlEHSAoV4W5ZQ9aAkiUWuFINbCJkdWiwkdoAx2SpAwQIgZYs4wzu6QAABAASURBVCKkhicyXK6WbMKgBCpZuVBRXS0jWtMIWNfJq18GoQlUFJZhbaoQV6Syag85F6lxkFfKiaJWpgQ4VyABpaigJKuYMZcT2bsQh9vcFtjIIo4Z3nxXFMmck6sDHCPFCKoV86JmzTQPLYsxVlStCXKFzglPnjMK1HhAVyJTiaisQigVWZ8t2yQCGXIuuIpVjS4dWIJ5CqWe7FmxTTXJcDFzUjTpwLQMLWUG81GPZP4EmCuyL7jCg+K8mZIcmlxakUsaUmzVOXfdJtiNJlNFsVWBaEZEVyCiUJoGKBPhKa5iispiYVrONuXBBRnblqlodWQdUWNZZ9pppFs8MgEhLIf52poEXoU5iVO6JU++lUjTFK3wIV4k49/90w+NckWstLWAsHMkXjBOUITVIDI6O59PxWxJVsj0g1yWQnixIjEHBVoV4BgR8CFP8tXNUFZFRtwtrMwk5zMnmfSrfIRkLlAAA2WijNKSIUrqWBbzorSqr0IDtjJyvZGgnINQVWBplSce2erOIsUQRz+xtVyiJudbKcSMClsrISxEMwjGeOcFz/Ms0AZWURIY0a2aMpzJwxhWIEpY9JOYiUxGVo4erA6kQGdEcRo5dalIiYuIzhmmQ5TVlb3BEjJBlEAmUw5rYcjVGIsCbzBkoPZBwlDEt9w6i9kYCUvWLrrdJkGjrulkiHCbHZJwVkLgzGiuuh8mXlhpcXYj9WxcZDmCuCUvylRQJirQtnLuPJv4EGe0+WgNYYJHS7vzP0uz07YytGW5GCNUj0GV0p8chOIWVIUQxBJItcgcCmMlzrnCEoKVrA66ESWIxqywni6XvA+rK+pJjG6hGdzKGWoFyNQqiCE+vNETVDCDzJAmRd2wNrOlVyiXkDmxMm9HpWpz+iYnLETQigwXbDAXSSoX1Yq2ool1cUKTimScTH4IgTEXYhcEH1E1ZsgtaiN1FJ8+yrLV2SUMUpZCkTCwwZMqBxTU0O1JhkTtW5A6raL1xEZrOipOhSYBB4moFJkXc9eNGsdiU09NqSwkAFNCxNOR60kP6rIFdkJRqCCaJpQi+MhUZm72gh1JjVJyDRD+ytrUyS0rwYA/ZVMhSBwIgx7XSUcCJ1ViTP8VGjMtqroMQqIVqeSGJOZCUs7/31FEZt0GhM0ynzCgCodKOiMYSCN5U4NaSpmrQ+x12oAxKYPYyQOWeTQJeXJZpPN4OQq14cQ84mZxxnHhGrm5RaQOs6lip4rF2iZvVwz5FVYiV0lnTJI47cqA+oYTyU3/25YmdLVFOuAmuqbMO0iNrQr4THImv9FxkU65lbCcIaZjYVgKHKq0ipFcBpRb3KJk8TU/RRc70GBSnTVYbRSLBHlhpcmpJGv6BQZTNs5Baq6WAWMNz25lbF6BBj1lV8ZSiwhyOpkAmRwuLrJrLxQMETbRzokFj0+1owthn7xEiNInLFWfKOQlIkU0GEu1sR78WtxIkZTUyv2zZZy5skQGPMPGixowBGYDmV0IeMhJoAwh4cr9Ewi4SwVqyUxHH1CDKJOSGrXFYhFBAebqEA5kDsQghIETKKLgmDspV5vryvzpPJkENZLySmvY9DZUkxgptyp9HJRnq5Q0Od3ysOIsuxEKWy6YJcE5s2HNKNhAVqGiwIiDUw4MSqhMahDgk0Y3Vj/VaLSdfzYnrdl2rlhpTaUK7cuJVAiYzEmjEaofPk0VYdBlNU5SZLugaaRi1SRMF3ZKBdKtDS/jFUkYK5IqnLGpzKtaKc1VwMw9glidk6zkMSGbzWrZHGV/IkmemVymMoE0efJJGwjhCrLFH/NCQSzISatKtktRw5C6elWxJ+FAEs67lZsoGuIK1ctQJkcJI5qPos6LEk2LKGQQKdF5NkQWdeDqwb4kw2vVgqnuFixE5k8Vwt1AT/Cq5aBwQlGxMw5BTt51cuySbexKiBDFZo/JVQVXJtKYFyIKKKsRq6gcGsIQUzIQiCuVGcYVEtPk84tC0qgVEOxT8kybWTPWVtaPxcnlJmKCRRQO3XIoUAbEUzVdWbiACHQQWDA06cOYJTJkK9g4w0ZntCw0vN4sIEKIlAtFtGVbSaBKMMB0dBItihQZJBzAHCSs6KsuiTUJpscRaVU6MlngK4DWINGPrAQuC2HgbZQcDrEyiQglB9sYVUlSKReIEpOQQa3YWTsbKvMndVOLtlWxxomusCJ4MX/kjZKfepgdVIUoOCXm2wu+KpOQnC0yrCshP3x6IneogiaoLwwwg/KqLH4ZlYOZQqqcAOrJAwNHx7SyDriOj8wRmRUX0QplKOYcC8+CkFJDelLZ1EUZSAJSpBg4ME2NePxSZ9rxZEVpQAKTEyNntOZEjipTWJ23KlaWgkQ4YlKE4EoMmSSVS2NaOxlqIC24VIlKqw+64NZnUPoHysTkuaoaf7X8pWAEioq2EzhRnuwh4V1rYAIrXsjVTzJ/FW0mZvnksQTTynZePACboiKjhBJLmLkk9qEoTQ5Z4oJpKTUkOTXMiZMqoAiOdKqqnMtJx7qcNq2RIXlVn2TqZeXcUnHVQwjLZZgAozRV5BFCXVSFSJoW3CwLNFSCUYKTgaSjDZNyJHGa6wXnentItrg3GdApgRHMUpzadGOqwGQ8VYqLsyTjgoaFSyqoyQRXnwNKB+w0TCtOszHm1amjRaQ/aOhWOjFETigxHRcWA+x1cmi7oVooShUKHlSV55wpKcyyhQZMGxdolEaTg4E6jyXlpSyoEg5lwHQIR0ViH6Q6Xa6FHWfIqLQhTd4+VcJNvKtxUIVcuFG6SmJwfmQqphIjhV1EDlmVkYptuTHzhZUATR8z1ryMCjv9KRCpWoucTzCJUSynNZa8EIwfQyLKHGTy4wVfbaECq2rNSTKiGlIbwZKkDIkK1Y0aSMA+dX5GmUtD4iyRDVk4SLgwGaJhLTZIEj4ZAWPBIGaIbdVuRLC81EhpJmka1IE7WCmo3neIpi0Mk2hCSOYKyjR51uxGWVY1CjuzKIWcgzErcVUo2As+5XeG6hZYOYwsHWVmUwVn51OTiYNgVyZCQB6Bmip1GLIdsNlIWAoQBeJnvEG42pyqxR1VsCwjC97UpOSFRlEyhWwSCuj6jIAeihoblScj0spKFBAwroTiUStlBVyicc7UrJeBDEpwBYXwVUKRqzcUJEYpJhEEXh2QljbgEsTKZhUsPGT+EvFimkoxwVK/haVoBSAyccuKk5PsRFScp+plAQYkqxuYIBkuo5KUFFYVDK0Ns5yACCNntkihXk46KdrpUK/Uqoq2RblUItsCbMOCPBkQoxPhZCWqgisIqkoqIyY3XqkKxizGhkIYKqPK4xn0UJLrn8QgQQoXGIFfylwsE/9OtgU4rZVDAMmVMXAca84mpydS4OoC1MKC9QXIZk5aq6uUE0CMlqRQUEqNmZhNE2onkQFZYjCkkYsNl2UHCicoy0sfGT1Wm7eLgAhIKiTXwQnJU3I2hNMzqe+UFlAJY/qgxodlgpmsZhQerCX5Lp+Mhoj0ECQtiFWNxTasUxOqA7QkQ27LFbpBllaKuYoUUKkDrDDOWFv5l9O1slJIFV0tAuChkm0uVYikllz/ZFsJdWBTeFjFZCsl5rDTxbYAm7SmZ87JBVM3V8UJMlZ1QAURqU+RCCI9OcgSfElnXASY/TbK7AQmJyDKdH9FvXJxJrQaycZkQ2DFYEB2kS1jB50QpKxxk1qRMVlVglUJdhUlGElWAgWmiFCRT5YkSk2mEK1CnX5VpEonpKLqWzjjxVDRlhJZqZJXCraVJROtVMiAzB8IC5eYnC3JvIoMFC5JqEBVsNBBpI4UJaQOGQxYNMwUSDY8nlA0dQWqDMsi0gAmppEhOIcrZEgJVR7SMXgGFwlwJEHyluvgjNekktGpTpKj6uLTT+SvVs4NMpsG/S9megO44GjLXcmCFSS/1GXDlYAtBy4DQgSROuRUwhT/j56PoagmM0pu0xZJiA9VAxwMaGGoBAat4UOmLPGMS0kAIno8eUKIQdWQKkFydgYMTpHLQIpGYUBctirY7vrEKiN1ThAcbeV1G/XDVrWoajUJ6UHxkSK80iigKiSyYGWEo3Zx53vShBLrfyU8XDOkQQl1uiTpRFRE5xCBgAPJJEJMa3IWllxlGShGXUXGvM0KpwRLVTE2ZsGJymTY0r9eUsZmQuNnWwkBr8qylYyJ9AZTLSM4ToFQs+UoOYE0DCHc1blLlOtONmHSfw1KwBmrKSkLsTx5s6CBN0o1qZIBiLhcLKASBfpgYhTQyWZVgXdLtRY8bOKwQ50gWQl2ZSzBccEEl1eAzB9ZBKCTqWXSITWSK7BJnRZZloQbI3WJM4y8EoN+SLac1DnA4OUcEHPMS84OGndbQlKuQ4BXQGFbG5eSstLDISBn7DgEYjFLjIKxZREgekGvnABvKWeLXIQ6U6ZKdQhKfYlc7H+kB7cJv4zT4gzJWGxKV6e7bHMlqk5nrQSjkCw8aiEGMqVL1XkFlSnEhoKCV2qQgxEV2GkkuXT/GkMREWqpB6u5MIHJocwhlJAcTpMCIaSv3hhpXZqZBEHFNmx1kRs5dzYNKCVyeAUowZJlsMiEhhNgLBTJCytmM05unJPnhlJCqJOkVEMQK3UCnFIhV6oKUWkStEwIByM87FKqVAtAuQIzxDI2yZ4c5YKAAuwcJkUzWoABhsSUDTGQzqnjqmwSPnbbsipyZpwgCJeASUudsUju/rCDWa0ni8FkAYYWLgliOUHpU5SSJJurcNXpkZCD/TItibSmN2ZXPgSsYMMSqP8BJ1SZW1tB3hQ48ZatemGwk69iSt0hUdioFbJsNjY4XJisBAQswdXJ2ISPIZiDgUzRiVDTO4ksEGJ4GijBGSZWxBhcqQtOeLJOBUlSV/mOQZOYGkV+yEw1EzGYdJmcQCRqs8qKOQWgxwOEN0eexcAxV2XY6mS7S8qinL5EkQTqCloJiOkcYt1kiDQ4BRVMNnJe+Kirr1OkLi8RgB5a14IRRIKSJKMUdK2Fpja6ntW06cJFHzIJXCJVZNAKB4ygyEAjojCjbYFBJkaWm7O79sEZKfMHhmpbTcKQGNDblmQxWOmclJHBKI0usay0Cy3RwhJJ0sDMlReAnoVNInJwpR81R/A5q+tJZEg1JZcuXCGSBQvLHMiZhKH7OTsUwl5W2HIRxNoosAS2COm/zUwHpZELTJsoQEJJESmbRgkwvVIEHwOVRiWg63IpuUnHrIEmknrSRqf4cKwVUibM/lOscwIMOTI9nMT5icwGVzORGk9ypEJq29ZCh0u6MUiIBRKZLY0ZV2OEJCdRB8mucFPktGl2gpAViPgE3ly0TnUSCSUO6CR4ypctlpgaVxU0R01qaJUqIONay4FldUgEJgYZ8MmCuFohRoEkk0OJljc086aztSJQKyDQRyc4h453B4E1lSIOjf4L6Wu0yovCLKDgY8uwuYRsDaYQOqUyx5oRVTpElsX8DImINbKew5iUCMzQNHDxo+b/R9bbaMeRJMddhhhVAAAQAElEQVSaZoE9Ryz03XOWVYVugCPijy1pX2yHQM8+wNU0wCbB+9ZChe9nHgl2627AM8Ld3PwnIjMLBY5mhBclwtFu2WIloYpHqwO7bmt0QQK4kvP4cUSNY5XxSLKGtJoHsQDEsB3NtrbnDkUEp+Wo6kFqEmGHV4lgM9vaBCB2A4JQPViRohaNQJQFAg+tNELn/ldaxgnYRNRsrbaGit2pGmTJU41OOmvlETqXLNsoxDJDLSJdDszjMQCTxaziCLMo3gZ5UkvLJdm0blkZ6Ga02hNnIT73bUgl8WcVe1CPmBRlUfYUZpWSZ8olmcEcTf9tgJTgFShXMldBNiD2tkNVsliZ9ecgs+HJzG7Y6L2jKmw+qG2vHCwgLUDxyjnSaCWneVoVDSw+zM5BHBgbKonAFtvotiVZtpWROSEcQPUWGieynfGi2MmGgnC/LKNwmfSKga638YbFRo8U02Zq+xzOfoFtMic6F3sAQkRO6mgNa6IUzw8wmohhMeuWN0ASstrB40ZhESzzIiW3GGUm9RRlu9pOQBTn2TOn251wO6iyuuFYMBODy1IixICwZhRgaAhINrtpbfVGeCwwmpaeVwgIYgOzqpflyRknBx+h8eTCoTBh0VfvyJnbZnLJsrkqcAqiO6HRVYXqtw2agZ0DiiOX3UDmUuZcKrtXAtudrlTEtdVawd444kO+HcuuH7wkMWO1AQzhzbTyHNoJLGUpVA9uoG3ZxlyBhUVwmlqo4kv3QSVAK15MlAA0XHllShIQ/OJpRGKG5gLDJUZIYC0xK0ctsi4FCFdlEGN+C6ACVkER2Vtnwqv2otM5JpkLBuFAZsMuFMQ4EbQI+Yyz2klxgpeO8015W4lyX2+pJL/FEk8qMWCj/UW6hf4Ss7zESOT5UQqAoJhi4Km1My9W4iljfAgLtbDFgjgA4ah42YGJTggWMrnCTCqcOOAjWzXIGDTbnESSJ6bKqSHMzkAscFlGmGznPVuADK/pA68zyE+trS/nZTd5sEHxq2ACAJqryFXkkk2q7lmC0V/hqRsmDpoxlMJlBkVx8KzBdD9gJZOfuXAXq6NY/KqT8HmKAQgsW1ZkUt0oLpWJF1cxRdgV/0E6CYKREWxkcX7FkTZdvXHx/UUqH3Chytk+8YJo3mvDYlNY0vDyhixbagVCdGJCyiWcFgBXVCcPxWd4EGzj4SIxStdlJSB/6tlQy2b/zMGH8u8la8PYZNBW2isDZKXv9GM2WwksTkrWxsw9NoP4/79Up6T+clHf5daJWCWUVMrId7vwcxHSsRa/BarJFEooOks4xbZRh1Us5j88VQ873lYJliZecVKdEEUqcoUDEnUlUIbLWOAxtitMZyhHYfq16dW4zbTInnaIAXk2sjdSdfY4cCFSAqhPGGxmHh5oZtAgxGFABDIpUJAELaPRIBLnInah3AWLJ9oyAE8x/djbHznsdLuTRNBMPoCoVzIDJyiCXsQWCbDQ3hSsBiFIliNkFpQWlD+FuoA92y4b12BKA1ZehGxi8AuGRrp25b+CVQoHLhyCCw1hQaJUxc+zxwERVQQjiuWaIGLkGJVEuKHTB5YLEjWVkRhnlDksCHmk4/AkJqEYRCgqKQJyvovcIDFi2GRVWLI9ZzXOPDe8k2CTgdTMfkNMaOvOCEXcOdNi9igOIPnASc/OWhGDzPg0p0UNMorOsiE5iCSWNSUGbnNAIaVB6CIGQDnIrMrrUsN2e/BGUVAA2WQZlhCVO0pJHsRaXlZtgz0ov3rxOFDxXK4TbpM9BqVKltICQYlLLrEv4XXOoxUXCxU5vORJQLo9q9knUyuARGdiKmK5JMFHH8pZaRsmz5vqDJ4b7OQUEyI2SCuA0mQ2/8QrG2GS8IpD0NsoS5RjdtfbcPSibg4/yZY7vmKnPAuz+nEaNVQ527hEcxC5QyVigQgnf2XXZTQqUSuEWZtuy+aiCiITNU11RzVWBDtxonlqh8eZkaE1CKw1kx8veZ1YtmVcghlJ0py3ysnW6cToI9IK0DYmAUMmPBeJYFOiPzIXsjCOAhhndtRX45NzGFsqdo1Fq7LsWaLDkRwlztc9Ql1eR+UyCoKWhBQIgNoAE1XtjYAehKsJIbf+l4m6CJ4WM3MK9LJRVgYMHCQtWSTn3mmtAOUfyXG5N66M4i1rJn4SJxXeeDSy8YpKMKcTra+QyJwk9vIlRTdUEOPn6aqtaCOhEdzpthWdO0IRMzQFxT317yxI5oqMRpMZK1zRGyuhgHhN81W8jLScYBkkd0riXvJWtp520gtJkGKIDDCRJNTbURSpYAiyBUdog4lbX1XUSOc2PsCQnIErJmqWXEH8g0XQ5PmHX6gsovlogDY0TPohqDASr9UV1UPT6iQzJgKQORcqGaoDizxcygDMQqV1LATH2xmHOf320kDxelMZx0LMIDESm40j0d4Iwr9scbZ5cMSOqmQOHAe5iMBGp7pZajGCTUzEOUvFh1GVlOYEQN4662Q8j6SD4owiD7pkqOg/vCK/QFc+PtYgDMsSHea/LotCnpIZhYF0MCuYvJ12OKlLYAmq0i21BGAuCa3S7ayYuYCcIRKiI16wzI9Ka+CtEi5nBEveiiLgdWvcWRNDJ2IkJBzcWCSsxSCHZNH28qKbK4Yk3k5vahvoCMdSuAgleXEw7M5WxtpmNAgszsi7U8qtxaqiK+MNEkZ7q3Apn0+kBOVrSImdoiYuwaZQFUD5DUomkDc0fEyRRz34dri1n+wrM72WnIQrjFwmoMoGxKoO5VGGCTLTVMM46D00xRsakIZcXAJzpTUcJWjkE+vEUCUZhzM98NT6PyyEUFSAY1qnvcJURk0Q3ij0zlgkgCZK1UwqCdMk6HhCvaH6oQCKYTcLLZtIgZwKmNXfb3CQkhl3BHo3wwoZHi4bMhbJ5XjBVDmYWoT4uvkoonkyRSUMasGqbByyOS+RJF5IZGPWGnYcxenw3JVtYHbBwpdsdPUxLA7gSoESV6dVSgfoi/6SYmXABS0fJxJd2TzEWmDyVCZna5VYUUrcqSA585gwSFV8vosEqGIVD6Uy8KpoWxox2VSnJNjY8bIkAA48DBTLRuNGqBkkrdkIVTgGBaZTKSDdSa0Fps+ZZhJDP44udTs0zgNGRkAaAZW6ULJIQDDE3SdPutxgQJtU5a5UNJBObQUsTaFW9fcnoVsZlGFZukCVkRRZBeAMMSoZIUacY3LH2uInp2bJHrOEIgg2JbUNwyZDhQg0uTCZ2U/PmYodZd0udlTpfRIrsloZ2ThBeLDJsf43HnIQoNwwzr5p9EFR2kstXAW6ynPrsM3p8McfSUxukQ8QKTMa2X5fwjOxnqRTMmBRFygSzSCJWEnMUEzLc2YDIm2AbfN5SOiGVHjx2cJbzAJOnSBiFJulgJXSyozFmpksvWlCVOwx8RsAu0LWqluswqZ5B4FuBkmMrQwbLRkwwDOHyQ0p0STOZSqHgZWULPBE4qUZn0ITXvMAKDh6bHBHZa03mzbtnE8RiZd3GkrfHRWsKk+4YGRaXSWcCDE4zHhxpVQcFV1lpy4MlsgyKRYOFCpJPQkEhcNDE650UOtfAbSNmomvJHpDAkQvYrOKbPQKpVBNHqEAIpZWe0ZBTKaKNw9XVvaJy3yq40nmWZ7ZbLNwVQXNlcQNkLHkHmGyizz0qNlJYRaTYHDvEsBpllBMYHsJ1eBVJbVxbD2kN+HvA+Z48WCqQomSqKy5SptXDKdjNosqlhJMJJGk+9FMVUCTvgQeiQK7dOoeC5ttQMEJb1ijDWGTmRk3rIisfM8ghFgIS8wQLjFGjpVVjcEq05MdiFRrieIkiaJWyq4mQQdtlQ8himJVXLa3pDYd0pTJBoi2FBvEJMIkpGxZGuL2BrQwzbPlmmhFXe56ULzVdSErAxetI3hJj4mCw2a1PURIMhlXbwB8okOG1seWvtFr4kJgpRMQYnlIMpNEcVkTt+kBJEBYXKgUy4OGIVTqUgElHjCLk7Dc4dErScRILyyRQJiWEBEs1mF2J4mCEjMk7iwgPqeGehhTHgMjGntCW+IFAJXJQgw4H579n0SBiF54yqU8EtxKzloOhQs+s2Kns7JsrNySXBJBMksuvJ1nNVwlv42CUYXV62S2XDIKQpE01YSaoBOQdjOzUY6V0PADqCjpLRIANcEBCpP4RIJiiJ2JfMjgawNHKWrFrwwDkjxqroRnzYWejFRvQed1GcmaE8YLiX4zS3gl2Z4zsxgOBg0xzwxPdpqkcvF9r0DTGqSgoUrMbwfP+RXPqA0WXpzloKI65xaVSARUTXOqQBYDnArM3XDIJEJggkNAAUVZJnXNENlZnCOhnC1GjV407ChO9R+xQX4w2Rz3yNgKDhM1W6URHPlMV3KUbTls0odeCyEAsBTvGS3hRQpMTKi8O2F6jG4AsHK3V3ifMKSgeZFJw9vhFUo1sREzqjR6L5TjMImQ+SmLWT2SwkzKPywGgdfmlu0HEV+ZoXWVJoo3i+clGjGW3D9pBkbMQi+jdWL26I5tpGsrw7FlWi2h9qU802dsIwTOVdk5x1VtCzLXn3rcbY3AlE1DXYHyiETiXpMAXSJpdJGq2iNx4NUYaiS8yl+3KqE7NNfA5cpkQGJEqiwd25gYbIdZZTdrxlDAmM4oy2phIbiiC0/2bjBEGXHYHstGQ4JLKFWVWRkhUAKoQfCgXOY8aDFMLJHQGRAx0apYEdRsjTyIkt5MOBFLrTvb7bOyBKK3URUAhJff6mPSgoZ5yMqW9edwrICSGRJ5jW0lloJ9ZDSeh0YSGqDwlkho9yzFIYbltXeFtppBs+jEEl62G0VBAFWWKJrHBSIvHgkiHesSFaUmMIkB35o8itk+tqAkQLYsiSVRUWKyDqGYo9c2MCUzhnrYvOeq1qlLi5BRAKK3p8RrAzBIJPcPVqRIVCX2reKj33Hy9JQqhxZ6WJSAgrONnszsnAMKNGaRRhUllwAlZr6VstlmVq0UtulE0FzOZ5O0DE4JnzIcL3YcfcGswhNHBbGi5gKlYRVrpnIUYluhj4rOZFj2m7dJTDRgW0btyTRHUE4RjJq2hcSf9FK8ZgEsLlT1sLDQil5ZIA9nFEb9tbattJS5Fa1hd2Zm7gcBJBCcOPtWulJOtvm1l0ONR4IC5CyyixxcYrioIn5HllCYklBrwFLTLIOkO4WB3kDHxoOVxTxlkKBYlDI8Dq5Ao0oWaDlDq7XJKqUOxYESStYgttZgDYSBd0n0DkIhCqrZVMEkMoDcp4oKY8gMxStoIEuSy0G5EmuGoiieVkQAIdEhkQ5jUzhtaNjMbBpfXiBSxJ8LAtEq/NoGbDTj3cC1ieLJDw0cgRFZDGdsB4hKZzw3KNue5JxbZbOJkXClrhgcGt7MVnDLkmgBDnky03S2JkYJL2SWgRnDdMclMRGWDgmIRw4nWzOmMlBsh9qXmM3UEr20BiDFIwKm+6ok69BwzGC/7RTluNKVYGok2EybEIqGSz3QzZBQlJE1F0CxaO9ULQAAEABJREFUActuODOn5B5BhCdgdqQMHlucEidAUwgNry8GQYiVLVQxpsc0awQmL+CgGJZhsKi30wqfnvQcFTA7Im0SeW0UR3UGlJZKBpxitamHjtAmBmB0/WU4R1mgNtObg446fzXAadI/7qKBfnAXLIFFCLVRCmRtRKQESB7z+IEXS8Dw1MnpqYoUU0wFxCEsLzWIRAjgK7sV2BlpoNpMtIRq9cDLWgri0FAikjDjxYeO5nzQxbIYbI3ZsVlV0Gn1zYYuxygaVAKKOStXcHOAEGg50d0zZuthbHqnBSTYSk50W8qWJUtczOx3aehWCGKUUGPYpouYjYiBIXbLA4NLDLZT2R/nA4KIrz0N4oygB5UyO28ld0E9qrIj1GTlohxsFMkOnQcaTT0Cb/RlB4jX7AJ5a4AShAYIzTQr0xInUiVLNl9cStsAi8a5ZHGGZH5gFO11Hotj4IrQIMuawUNrpy1z+MuxGMTbqCmdpTsMQpDUHnUstrnkDHFEywoEQemBVowfqcBlOjbOMImSMBApShh6y6w+geYA1VKgmr/8FrEzSokUWzBOVjPYDYIi07wk1HglefRfBDaYpCozR0Aky2QqmZISb5yUchbNwCytsTYBGmIiArtt/uhZLCwLLBZdcDrkyHMPaEWXltoumFIBR6IJUlb+JM1iQetwrQHXfJhKfzYjYqywJTOYFBuGelTPDvbGYnsBzZCcRl32YsBxkV9rBMRjWRH974P7sQrgTbPLTwT3AB+7a4T0EKKuPHknuVsC5NOBDIZBI2itmBMonOZkCpYZyjCI6J8okaRLmkEhVwIyVzncyhRf1r7cuGRvCj3Y6LYB+eJse8jSqitOg40AKpfSIc7CK/HQKAOAhe98rooiPPRGHsHHawsZm6HkJIEZ4PHZwaZYlpcZ6V1UnD8clKAGGAiOiMhVHYqFgeDM+ZQyMLIUb2WBQAIZ0nB3GGKqk1nCKWO1AQddPTaF40qKCokTV1ZciGzmbNH589vYyuhMKM7lNF6iYcGUmIfbcqHLtnpk4aq+0W8IgLTiWGkewZbEnSgx6oc3SfsREk5lZO/SypH5x+5SmrpWT3KTmLVORoE7u7ZRDUlk2J5AN9JzwB9KCQfxkuiMQuQ0eiCaN19gYhZeSSOPX1Wcon/OWhnFZBsOEzq3B71RQUNnsUMoK16mCFCsvgPQ2Q5CB+jBOzZIcztNOe+dEmg2knVCzZNDZgQqMxthO8S/6c4oAPzwBS5zZwvFuQTE7ZAdq6Ca/OxXsRvUNmi3yGFbyAIBVLal1MUbBV0ZTiqZn9wRegv446rgWOBWdGZlFLtCR2JJZihWSnTUwCwQ8jNLMVM7Rn5Jexg1dHqWsn1sZeDwiEJMpNW3aQj3ZlCI+9xhq8PgARtSjdi5KNO98KgLnw2AUvGtC7QVPNJGU4OhQoxwxQns/j3CftBlZy4xlxorfhECkqdKmUG7Adw2PMBeWAtsk+x6xAudA6GG/+Lln/YBm1qCtRJgR89iYtELfX3sotViwnVOg7U7YpXMACwnKJe6LnNkta2wOokYKLaB0BFzEULGKDyi1rRK/51AQLASdPTMzYC59OH0RidyNmgxLKiSEa6OLUppDaC4WWLHwXPw5o4nOt5KvoFCoi4HkFqYCXT2SGTQ2FzpQpUIgYa3PUW1QCh/kWZDDC/J1AqBztskxsqUf/5ojYIBjbHdWjQQNSLFspkRLHpWhsve9IrdVwOYUJmLT/vAqADRtHXeejJ75H+bgbAS2dS0qrQfSjFh5eR4eljyigNCW9uUzEB3xQUDlw2KykHDlSW+cxs1/Tj2yJ4JwVPYXIWKFBYMowq1r9I2UBAbLw2P+JODzBU95TiTwr1sqlhDamdPfZ8lJYWyyaUAiOGQ2Ud7Mq1MzJQgJp+ukpUgEKuHsUGM0WC1UXQIFOFhSjL8lSvudcDusfkUqi1EhteTZUYsoSE2yg+Z/IdQIn6BcZfQszG1Eroyct69vk0WPsdal70Zdnee/gsXx+EtGIKJqpgl44ys267YFawnUqgHsS0Y7VgPpGFz58qtSKzoJc7fGZKMmCmLUBD1KM5uS++/jPapmTyppNLbIMkSsYiHRONNkVsrsSCDJpqwZdjK8BmbtwaCFGYpI2Zpav1+B09jyqoe61HLWbXJXYJgC+kElhBlcBRRTW9xGQwWTbRCF0Exi2/EKwnZ8JVCiyMhWDgLnPtvfk/QmxSPGPkgNt1kM2CozBCJlkZeEtnK/9RYToEs6yw8ho3Xwmsput6qy/xg0WFmnv4kFCA0W2Ogil0pw31SoodYfM9zVi6eIPEfR/MH5UhdLg1FLCHRKxzyLwJ7Yzt0XoZQZ0UJ9kUIRYFSwgzZymA2uiGot+POqQH4p8g0EY4hn9mWBqaBSdimUqhKks3nJgTEGlh/Kh6SJeahsblALFI4wVOKV+LcyFwcGtupuIKboTXisgJ2tlaKTS+vkrxNi/eq2xJJBVlait1Kz+geMltLoELjPO2AzP4Lc6CXg1S8Az3pCYkpoSDcUA6Ep8GyLSFDmyKpzWJ2koiikoYIKTuxvD1o4JatuEYrLnnRMreOohCszILusqK7XSRFQWVuT1OYTMMC3DK7iZxrSUqWXChetFiOY0tOFBJEEPhzwuk2BRzc5haCoGfmFtpnAqSKiJLN/ENkGk6ghNpiD2vYcLiFZ+jiPGWGANKoJUMROCaLBlMBIvB4NRAqpmf6Cb/CcTVP0Qmx4Ed32YoEsId4CEkeZHjExf1KrIaNd0gt0SHx5mLyJFPEJScLhE5a5KET5M8nHzIiE65OKELOSEQgKSS8RtciEGtM3ojx5u2K7lhDHmJusRvM9gPmXeAPwLeE3ZHlDGUYhH/g1bAGfLZtaSBdyNKwMS3FZSxWWR5TtnEhS3E4INxuDY1QZcsQWgcUyrDGAoUiS8O2omR2+GaoL9pTCAmxYaJYGvAx1YhTEa29qYsXsWXpT9CYhmYxsi6X5SE2xYoCX6QYDNvSkiFwwz9DCeihH5Jn0toIcGxcMaNEJ9+GcItzbjI05AxlBcoWIUhcpkRuXPSBLvfMg4TSm22EDMNjuXg2IKKPdnVmyCJVPzMOWYVpJwMmHH5NLH5z2IgGWapnMzumJLv5IhwEPbPIZBQWwtXDGuHYA5RXBoVZCk2GZmbxPCujeDfiGoDQeJXhS/bqMDQrBCuDPaIgPxT0VFI4Y83d/BC1bMny0PqMQm9aaibzEOcZwxWXxWzAYZSIGHRYdiO4eMGtuLaQKkypEebegu2BqGtlNoGb4AsiTxVKyWJkYkd9OEFQyBBU2UViySwSGjwvvi17yMMaUdQ6pqPIZ4AkL55qHg9AWWyWi4Tq5g1ixzVEuCy1uZA1B5cUl1ovK8MsfKYQyDbQ17GMNLkCg+FFos3tm+JIS0WCEWbSEs7rAGIlp0VvZEBQIitDaEoD3Eq1whZQrIBuzQxRyClQBuQaK22JXwGwhlBIG4tz26jisS8prqE+H+eLk6oR5iorhUZm5z/ZAVTOkwyWbKJKEkq/UCEH51FcsBopbwcFs2Q1uM34MC3JFj92DkEClIW45z9NHgM5nKG4htpl8WOhD8trSGPYQy20hE01w5HF3qNks8WO+G2NiPHGz9asMJn5emmTR+gRRx/tlQSydJQImWZFUaooMzVCc0r9GUvUJqs9cVB4ncOkXoLS5HbaPDyAEnfRQgtzoIhWyesMLVAMzhw0SsBhNPEMcBkdGQ45ilZdLeRM0wxptIjZMDu2ZPWmovCrtvBSKIuKcHsjDNkO08o8JPMjWu2TqUS4QWapfRIZzqLbWr2zRAgvdQ+SjcInW0Xl4ujKOZOin25Sgk+qzOKvmJBp0tBCbi+BokTJtCTbw8HhjB8c+IKDy0nFbU0JPqwBi3/FKKXcFCYXellqwaNtDFMePRnI3toY4tfsoKrF0cviUwV1cCEiT95ETMR44We2BzL6H2miEEZyNuAmkB6ynH5IQUWhYlq2z6SQmeHhs+T0nGebfZnbR9t8QBP6Q6gQWq6BbkuEdp7wHVDDyo7UXpNEsvIQo5uhIYdjs4zhM6KGaagBrWxEDCvngNcKp6FqU/LZ2SCP0czQmTxsDzGixEHbPrPAsIbMnOOVUMbwGbzCW6xWmHjc12CJUiRE0pLJpj6/PFcK/80rDTM4Pdnoc4Bo8T1ABswKGEUMaGZAG/II0JkHevg27aE4h2db+YGlqHCMTudkCyJMwGHnsU/dVlwsfDz2o64oabAgE5CDFSCJNCzCo62LzMSSJ7PsEOCsEAmzALuWSOlQ+mIaeG2LwcwuqK4Ji7elMUMS5Txsa5yN0SFnPfPoQnWGZFKJs7FkLqYhdxSAjK5YtsWwWRDaprszDQ60OD5nAMqJVfBsxBY/+FsaASASQpl8hFjgErPSFdtQhmXn4jGwDWIGyzBMYmspNGCZLkA1omEMoYqBYrDiAqE1EQVCKlt48VjxWuahpVgQi+MCIa0lRBUuG2XpW1yQFSoKecxtgndmsxeMMWYlsMBdEKbIwuMpUrJLadIIeEGWKjQpOQXIO2IaGIMcuIRuOaVdcNBtDYa5nUSJXMOSFaaLHtBlxrAliyhZZw4TBBoOFDkDvq0MhyCPIOo+Ve3hYGhTDAcuW6wu0VWudNoIECEuJ7WSZ+vRhmqzUwKhextEIRxNAUhi17aEJA+rbZlYDQzEGZDFpqLadGYsgpzBbz5csVYE2Fn4Z3RiNXlabtO2htWghxmiQwBb/nMkvN8a0bytQWbbQ9SSjILlQYJmqgeH4CgEsiIhWyMCDSGIWRaKxJNf0Ub6DJ5ao6wBwo5WY8NTniDJM8yrLfhnBjEKbFEn9yvdcYZTAxBBT3qFyaNsR3HJWmPQhcsxAUtyijLFodEucop/+4tLKsHF3zQsGZsJZkJqNRwH4CgC4icvYiBZGSapyY8Qwhw5s0fcmeO3OvnIkgmmTZQk17AHlzU4AQGj8BJxDhqA1hktSby5QzIS02dD6VwKZ+TELA28RQaEJGVMZdaUcrEUPkKIlTW4HRKILOaRDqo3Tlcy6cp4ZEiUsK084ZSzwYZsELFwYUkDRcP2EMIfLJZtkVitSMJDU0mHblANC4R54LYHG6zqNkRgKmIpLXFcwY29RHynMjeHiyR+A0mHmMwgkmAwmy8YTg2A4KicauLMCJL8JLEMPVIcVCpGFzohdpSA9jBj+WRTzmIlQ5bCyL0zNPlMA7YC+kQmeTKPM0hstrpDawjxsCyatBXBxIrNYi5UZhOfOELzVBMouhpMFq61tTFgtkCb5rgINm3MhLduPE2mtyIwovWAyRKmJPLkvhBoLJvZNk73gyq5hWqgGMwgdG6bWdIyh00qW/2wMVeakamSA5HaFHlGB+DIRxCvBpAhi6/RXBGVDZMZ4Vto64ClrdVZyWb2p4w+Jd4DMg+ZkdPjy8cUpdIAD/YwuooMAYcUsYc5KrLh7dkia1cRaqoURyjcCCG4o+AbJd0BdR0AABAASURBVGt0fDYCYoEUk4tnG4mJTZjrrY2CpYyl2MuGoLREiAiBMEyImNBVdrxlMdBxMafPBFY3EKeHzEHMWYW/RKpI1RzxSKBKkuqN8LImbXaoYsRPQk4pu6sQpTDFIKVkhjiydGfys1MsEFnJphJ8JhIADTMp3c4U4im1NEybslEIQVAkAIskKGQMY1RzJB4S9TCzySaI/GuRZUTFP0fQi6yMyiSN4+H84vjTxeGni/358fDTARP98BP6xZ75/8R13OP9H5kPP2Ei6Ic93v8BDQU5vv/psD9H9uQ5/nQ4/LQ//nREP/y0cUAO54fj/9gfzo9xNY7yZl6g7H9K0X3CD5gdG+QQZEVd7M8vwPfnx/fnP8M//ET/uABb8P6Pnw80dv7zYXexR0B2xwO9Lf0n9ON+d7w4vzieH8mzB9lFScUgB7zo+93hfeP784v9OeWQKNF3R1xwkKVk7z8d9wlJ5yiH3cqDuUc/vDsedkQd3r87Iimxg388nh9Icni3P/xLlD21oPUM/7Ca3DVt9/PhHCV5ouzWFi44w4tz+o/3sLvYo++Ox93xcH6ByfyextARFAiRn2ng/bsL5iPm+fHw7gB5IQcK7X7OjnbHfYSN7FFIRbconNthdzzsGoyCvpj7w448x/274/t/2TPTzCG0dELgnlrIOQlTupOE//7d8XB+7EMj1UXj7PRw3LERmPDxXsA5Jn/M9+cX3Dg6Sey74x7z/HjY4UKOlG59//4dJnLc747v6QTO+QGQ5wHZvzvuIbwDOWL+X+i7I228j3Kx310cdswgx8O7IyANIPvdETIzzP2WYY9JxQgldlTMvnKq54eL3eF9Qo6HHdshNgl7I1EOuwuijuQ5P5J25X//L4fV2PF8O1L4XYIQjuXicI50id2B3g67455TfbdFwUxjAS/Qqb7fXbyHuTvCPLxDP2K+D5+WDu/fQbug+n634XFxXO/Y1+E9gSjvKASNEglJP++O7xHqQtjkfd+yw35HnxeptTtcpFV0QOQI+P5fjvt3F4d3zL8c/2UpFxzCHn13cTynys/HHQjPwD606JgXvevjYQfn2CWYyYlJyPE9tHNm5EBjh3O80Q+7/SHtLfOYzrs9+MdzSoAnyeH8Yn9O8sP7HVGUO9Lk+w7scDicwKH14353PJzvIex34OhpIK2+Q4eTPIdwLjotM3ftsModdhf7H59OcJZQfVM6/PzisKO3w+H8SAl6PpwHpy5mZg5wd9y/i7DZ9+Tc5PA+roSHBmfHdo7v3+1JSPN7Gn53jPIO5pH88PeU66PD+56QFD2+3/1y+In5Io/W7vB/vctO3+8O+061z0cEu0ZypIcd7UU/7C6OafXiSJ7dxcIP7y54wg/UfXfoGZwejnAOuyjM+3fHfZI0YYdO6ch+B4HMF/vz4+Gc+efDTxdRdujHBvmwCrjfXSwX3ve7nw/nP7/fHfdL3u1R3vNaxWQvyfwe/nkI788v+JXxfgd4sU/ywyH4YQ8e5Uh7Of/zCz5syYO5P6eZI/0fdxc/wESBv+uufrrgdu/Zbyp2hjclGd4dD+8u9tnv8bBDSTZMsuFFOlUemOg/tZfMOzpELqj+/h3K8T2fZrsDgcuksUP62R92x8PuIqfxE97jHvA8VWCi7zvPoef9ebx7vOckvFgK84HwHSbgkVYPu+M+DV/sz49LZ87n27vjfncRfcd+L6h43OXlPZ5fHHfHw+7icB7ZBzxuSMDj8fznw/nPPUPAPHLCEI7Lu0taMu/Jf37cnx9Q3gc8Hnb5RD3s4LP9fd/Tw/vzw3633787vN/x/Oz3/wLtYr87EkXzrVwQ0uZh/+7icH5s8+Kw2ju/2FOI0rvjYXcB/9jK8V10TOSYBwMzeQ4dfoCTXRzx/lXwvt8d6YEknMOB5LvDfneBkpDox/cpB3ik7vvdAXxPSMv73WGfuhd7OFGO+x37YnfHw3n0/bvD+3eE7Pe7zgPnHOS4f3fc7y6QfMDujhzU/idox8NP6Lj6kHcXJEm5pAqIeTw/cvgB3x2ZWw7grYAcDu/WvTscCE9m+C27ZKDi4fzisIN5wZYP58fjT8jF4aeL/flF95Bs+90RTpAdTR73tI1yns4Puwu+4zXh4o1wwCTb/t2R6vvdxft3F+/Pj+93x/15y45mwtnvMr9/d0R5vzuya2T/7vB+d+AcaGa/PRgX+3M+KCAkPFveYV7sd0dK8JG135Hw4tDJ+7FkyzEPu3zRCr7DZJsXxO7RdxfpZPfzYXfBTjPvjjQcOefBPh7PLw4R0vIiXxx/+hk5nB/3gO/yBWy/Ox7OL97vLlCQ99nCkfkA590R/LA7Zu8/USgSc3dx+Om4320h+xAu9u8ObGH/7uLw7mLPLsjz7iJJ8O4uLtIMeAp1hiM0JHwIMJl36ZY8x3fH9+8gHA+UQDnnxiGYSy4Ou+Php4ucz473N1EUOuxALpgP54A5kP3u4nAe2b9Lt4fdzxfnx/07XEdKRHZ7Pj1QDuckOSb23cUeOT++3x3358fDuyMnmceSPLvj+3cr/5FHC9phd4y8O+7Zb/SL/Q7+xeH8Yn9+cfwpZBAkGXYXpNrzpO2O+/Pj8fxiv7vgsdwT8tPxcH4M2Ar6AQU5v+CBxNyfXxwJIeFPPx/PibrYn+d52J//fAhyPP6EXKRKM1GS9hyEwIsDp/Ru+1vr69PDH8jvb/PvD1+QfzJ/buXvz7+jfP7j6e9ffv/8x3L98/PzPz9/Yf7Pv0f5z+gxg3z+Avifn5//8+9PkSjoz815/s+/tzwwf4HzP0OG9uV//v0Z+c//58s/kb9/+f3vX/759xA6qvW///GfDf7+92d6+8/Pf/zz8x+/f37+/e9//BP53DM9P3z9HfmM6yXK49enx6/Pj2zwK3t8flzzH0+P3xAIzw9RmH9Hefj69Bn54+khsU9/hxz5/XPn3LzfnpL/61NSfcX19Pnb8+evz/ES+EeX+Pb0eRH+AEeSHH4XfX58ef7t23N0ON++PBCbnM+PX58fvz0/IF97/vYUc9MX8gwZ8BHXy/ND54H/+I3AkMkQQoo+PSb5829fcT1TMbSXJ5iJ+v7cyJffXr789v0LevAkeSO/PD9+fU6TKC9N6JBHuv2Wuhuf5ORk/vYM8vj1ieoP35h/f4j+BPL47enx2+/MHFpc6Iv/Ao3tkBzC0+MfXx6/YZIHnGfs6fEr5hMhj19bf3l+ICScJ8Do3CnO+dvTw9fnx5enx6/wn+OC05KEKHQO5wVa5DMhX5+gEfI5OZ8Jf3jpurh6g3AgPCTk+YEML9v8+PKMBF/g19z3z9T9Fvzx+5eNTODLFgLySPWvT49wEA7zK7WeH1G+PT+8LP3pAc7LE8mzC/CWmCHg/QKzOZ025FZenoO/kA15CuEbSk4y5Sj08vzwvZlfn2EG/A6Bh/OZQskf/tPjtyf0PAyY/+sZ/RHlpZXvXx6/E5sGHtPh0+O3L4+4vj09vCDP6A8vz5whyuO3p8cV+PU5CnrLw7en3749//byTKrQXpLwt5XnBfzLP5i/fwnh5cs/wN/kt5cvv31/jrw8P6L3/NjeLTxpnx6+Pz2sZr49P3x7egjtObW+U6gF5fvT59CeH75nL3De5InH4DOv8MvzAzPPAMoSUkXgPz2gdIkHUr08s4uEh/+cvVP36/NDz7h+awU8nBdwHoy+KS8JhBCB8yZ9Vr8/fMuHyePXp8d+rh76LX6gLi0FeSIhfYJ8TifdFR9TJPn+RMIHmqEHmHwKoTCH9rx6eHx5IvZxNc8JRHnKXr4/t+vpIW/TMw/z55fnz5DbTGyUp8/ML88xmSlB0Va682dKP6RPWor+GL3JUTqWLcB/Sa2HdPX0OfpGfoz+9JAZwvPjt5aYTw/fnsGZab4VaE+YkZfnB7YJgSpfG6RJlD+ePoOkyvND1/0cvQlNfsTkrF76jnyl4tNvL8gzp/FITiRRT4/QIs+PZIP/7ekx8zNFP5Pn6/MDJkcB59vvD388/T3g0wM9gANyjK2k+rfnZPv29BAhkOfh+eHrMzf6EQQy87fnhwic3x/YBTqpEJ6KeH//nBnvU3vZI/ynx5R4/nsyYC7B9fTAFtLb8wO3MvLM7pYeV+8R5PHb0yP69+eHl+ffCEEwKY1sSu7UA+a355Dhf6VKPgEAf/tG1BdmkvBoZYZGqpcvv708g6QEyjcejAiEh5coD0GeP3NEMVP98eVL878k5HtiMR9fnh++gyfbA/oLPXx5hImyOC/PD8j3L3xEEMj82Hj0Fz43wL/89vLHP14SxW865PH7F+Z/ZKbKwlHI8+Xhhfvy5eH78+PLH48vcT1S/aXN73+g/4b+nfA/fvseefxfXxr8EnKYX8iQBl6+PLJB5OXp8dvTw7enx6/I82/LZP76/PDyJt9Rngh8+P5M7Jof8WL2YQJiZv7+HC8u8n8PeeEPmC/Pjy/PDyi08e35gafiG2cV8PEr89Nv9PDtiS8Dv4G/PP/j+zMJf+sZ5fHlOUIsCoQIW3h+JCHhCMjL828/vEt5oeKq8iVJUuI55f54eoT/lRkJh36C/ODjRV6+/IZ8e86mvj8nQwic4TPNcD6PeMFftmeMzpHk//b8yNlmfoL5+PL08O354SVRjz0/fKefp+wO89uXxxdoT6nFdl5yix9fvuD9B5m/86vnC/vCRB6/t07USyf8lpx4ycD823dShfD4Pd6HF/RNHl/CZIbG/NDm0jGzd1LRSZ/kb18TFfzly8P3LTCcRH1JGy8p9Pj9yz++oyzCHytnRz3/9v2Z5PT/AOH7l99eWr4/b+b3L8T+9r/++Mf35ygveKP04/r1kSf5JU9vR/3BHPylY1+eHyF/J/mXKC/Mf/z2/UtCmF/+eES+/xGzXf/AfHl+XK7gML/AT84mpNv08AfIby+kRb789u3LP16elwT8/sx2Pn+ngefH3Cnm54eX58fvkRDQW35Lzi8geB+iPz82/ogO+eUZ12MyfOn56fHbEw8MkmeGk//j+ZG78PX54Y/nt+/zfG7zpwTz74/8pcOfNn/88yEC8s8HvvPzR8TXp1b++fDln5//+Odn5nzn5yMaTv9B8Ue+3D5+feLlSn5KfHtG/8e353/8EeXxGz1//X+3v7U+3V79evvh3+6uPt1d/dvdh3+7Z75i/vf7v2X+dPUf93/7908ffr3/8O/3eJErzP/49Lf/+PQBBfmPX1v/9cO///q3yKeef/1b8Mz/+h+f/vZ//0qSH8iH//j1X7fAX/81+q/t+kSev/3bp7/9+33mf/v04f/+9K//dk/FD/9+f4X573dX/54OP/zb3d+Cf6LVSxr79e4DW2D+t1t28eH+9gq5Y775wO7uby4/3Vz9evPhV5TbD+ifbi/vby8/3V6h39/+cn8D/8P9zeXdzeX9DWC899dELbkKs8nNv7q/IxYJ/uvN1T1VEghC+C/UvbshCXjmT5vedW+ucCH3N2kS5e76l/vrMO+vL3+9poEkKJreAAAQAElEQVSru+urT9dX97dXeEO7+QByD9Jyd31537RbzI+Xdx+vbtfceEDw6ytib6878OMVnLuby7vrq1sCW26vrzDvri9vW+4wb67ufwTeXN1FCLlEAWe+u7nkZGDeXl+hLDAKx9KtfuJgbzlDDvzD/d2H+9sov97+7dPd39B/xXwDYSbwJuS7m9Rq84rkd9ecPHvnrD5QKCbI9dXtzS/od+mBNi5zPjfQru5uP9xF+UA/n1BuYKY9QATw/uaS23F/kzv16ZaQdJUGbrvD66u7m9SCcH/LZi8/UQLXzRXl7om9uUobzC3JeXNFCJmjN/MepGMBISN3NxzsL3fg15f3Hy/BuQX315fc6zvMj7+gcNcQqtxddwm8N5e3NyHfX19Fbi7vYl7e/+sVSe6uLwNm/uXu5oo8IKn18eru+odcppnrq/vry7swO/PNFeCnnjkKYu9vPtzf5JwxP928bf8G8iVeeiAW5T4hl3fXV+g9X6IA3l1vR9p5khz8083V/fXV/c0lM+bddT/DN7mJ99c84fT8y11aukzP15e3OYSl/3Lz8er25ur249Xd9Ye766tkiHchV7fXLR8vb69/gXZHko+X2f7HX0AwU+7m6u7m8v5tbgUkgo6QhPkOwvXV3Q/5i3l/k9Jx3fQ2w0EhZ9qmLnJ3fXl3fZU+afUmXWF+uv5wf315f03bl1RBAJfcQ7sm/JfulthLlNuP0CJ3ne3u+uru+jKncUMGerhMn8mWA7y7+YAZub4ilsf+DuXmam3kdik3V7c3l0FuPvTMQ96E4K3cXkK472f19jrM2+urloWHkxI3VyTvnq/IA8Icub6666hNT60PIPeA11c315e3yE0S3jUz5vUl3d422Ga8ucsfo9xeZ765/nDzkZPhJl7ewb9Onrvrq7vry87c5s1V2ri+ur+mYqJuby7zUcD88RcO7fb6kiTwQ7vpwNurTyvq5ioNM1+3ck2SfAjc82F1e3XfZ3V7g3J5d7OE/JedJ/zbm8vba5TLKDdXd9cwr+5Bri97hrzMKHc36GzkqsmXd9eXib2+urtp5ebDPQh1G7ljJhtyc/Wj3N3N1RZyewmIQLsNiMkbCvPDHXnSNuYHPvdub8j/gY3c8hl4y67zgYbZgisIaVcqlJvrK0IQ9J5JGFoKcV+SDfPyjp5vrlYzmVOx3/dresB7dXf9gZDMN1fkuf0I/uEO/frq7ubyjp22UO4mCsfCIeQtuM3Nurr718vbvAJXN9dXty0oN7giVx2+4Xjvrv922xzmm2u8V/fXVxS928pdoSDsETzzzV+QmyuikLvrq7uPV3fXl3coLbfXl/BvW0e56x3dxvxwd023CbzD/BjllrklCA/8x8ubaz6yLnn8buj5I1sjeYRUkds0iQKfVtftyEzRmyu6Bf8U5a/36wP4/c3lXU47nHuU66v7m+i4NqGlyCUZbn+4rqERfgmSotwOODdX0W+ubm54DH4hHBO5SwnCL2/ZJnrfCLLd3Vwx315fLYWZ0sjdzS+fbsiQx+wTHyDITR4/Pkw+XX+4u/5wf30FDUn1bPwDOpIM15dLiX5zdXud5PfXl5jcjntM9Obc3NDP1W2auYSGdDOXd9eX93A+vinoN1d316nI3ALhioT3Dd7zit1cYnaGSwj3NxvhDjwVr+4+UuLy7voS5Jbbd311y83lhl5fYnJP768v+e18Bx5vQMx2XfJRAyH69S+LcPsRMpze3fUVIHLfym3PmHc3H0AQdMDtdxZFkev8fry72cLXZ29yfuRsr+7TyRUgcvfx6uZfyZNaN9fwUS7J3AlTF+Wus93Ge3X38cPtx+aQhMcgH7ZXtxSi6Ee8byEfr24RnmpcoV0mOXqS5M3dev54eXd9eRth43Ba/8h8dR3mZdojCak+/kyG7aP+49Xd5r28a/JtzKu7a7Jdseu766u7jZNzoL37m8ZvutVr8l82J6cR5frD3ccrlNsbfnewQfAP6CB315d3HcVMElLd3eT9Ykb49fHphueWJ5m/F/4W/fbDp7sPfE3lT4Y3ufr17ip/Stx/AMkfF/mbKPoncP6+uPvbp/sPbwL5w/pOC3J/94Fsn8h5+yGvxu3f4rqJTj+3N1cf//Vy+1vrdc5T1WuVpmfVnJGaxVAp8CwYYi4DInMyVc8hYJxmITX5KbIlEH2TEPsq5kidTnOe8Fadokzs06zXlpq4JqPaO2edSrR3Op1ea5J8MlQT/MSs0+xRuKKeZubJXDWLxDV7vJ7AK95Twl4bPAHMEGKeSIoe6BVK1alqVvYdrzDnqRLWCSbp5mx7zhlHzZmA0ymeXHOeJpuar4VymrO4IJ6WcpqM06QoXlTm6tBJOZzMSFKGnzyAp+jzxIlUJWYycwIxXqfAAXtW1WnOE9csfuYJveap6jSras65Xa8nkAl4OqXE68w4TZAJGRMBOsE/Ba2TYnaKWR1ymnheJ3nimrMmkZhVr6fTKz7iqmo2uerUSKHMCTjnfJ2zmoeL9cRyOnUhzy7Xc51qJjTXazEmI0b4hR4vNoJ1mqcT6WeKsr7OiZwy63UWPgJOhResuE4NcobzNPHGxHuqGQtu5LWNE0jFhDZn1axTaEVPseYkljw1UWY8kE51WmbmCjBnIzXnrPn6upKcAs655poJrmJtPPyk4XbPOaNBfK2YcZGmAvZp1KzoNf8ccF7nZJ6zatacXPV6Ov3XDNj4xDzNOlWdZgbzCbMJs5WqinKa3JFMc77Oep0ZbRba6TRZAF9PJ8xX0s2qmZynWSAzOkpxcVAwIZ7mhIiCF/AEs+r1NF/BkaoTz/zJ7cU+RcmpUj3Cx9R/wZg1JyEgM9lqvtaEij6rGyi9UpaHqpozAU/zVCemOcOcNec81ZyV6zTXPBm8qieWwnta/Nc5T/N0qgJHZj4sQCI1M7ORSfJ5ep0JeW3wNFMaHT4z8WSYVZjMeKOcTnPOE1GZJ4mr6vUUcC5kzYXFrcj8OucrEXNdJ0JPrb+eCvfrxIuLNPVanajqNOv1NE9VE4E052uhVquZ2nXKjAUnnlwE0hIYnzJz1ow9T6c50SOT0SZr+LzLy0mq1zlfZ53irlPIzCAICmgR83pCZ50npup5ZtTig1aRCqjmXMqJnFUYJ5CZ8TrJOV9PpyCFZ6JV1XwbiqJZFcKEUITMRSgGd23iwsN8mkTPSsicPG1zc81NyWuIPmeduqFTK6fZPUxNtGKqXlEm14mklSoTdIZZp5pznqqY58RCTq+1GouC67WIm6dTg6eaxEKo+Uq2OU9VAK+tMPN2v+KakzsVV3shzJlyuE6qVxESDD5Sc2KgMCdk1kwnE3KrNauCn6BVOD+Uies0CzBCTZokdimvJ7z1OgukeoZ6Os3InOTi/fqvCQEDa5tfF8KBV82q05zw8RV6RQVpjnjXUDBPdZrFNU/Nyzzxzv+a8xWp06lq0zEjOdhZqzTnVHPWqWbkNAk/cc0M1hYI81QFifl1rsB5msWAfJroEWJ+6DDnqUBmplynNDohzKrTpCXm9lfxqT4rrtNknF6Z5iQ6ZoWWQg3OKrynWVgnrsoe55yvNTFrzj723AEoNSdFt6lqznD+qzJDTp7Tpp9O83UydKqKwDydXk8BYZ5m4TtxkaTqNDELb9aZDDXnimIhFUQEGmCUKpQT2pyvc6Kc5gnkddYpwn6R4P+FWVFmTeTEVLmVKHhORThMYifXK3uekE+nWL3xmAtJNPhrFbFLajJOM0vAGFWvLDMzMNKWTiwncYhzBuNBJemk/KSBOTdwnjZlyzZ70E2vmWqeqmpOlnBPjM3Mf7nrVLOqXmueJkHVz/MEbIQXIPppZmSulEZZUjPm64nTgMbHbcy4quYsfk5VJ/KWohTJkQlhVp0mpAptMs/XEyrcqlj1Omd+8cao00mvJ2ZC+jWByZtVzQGvSZdEzjnxICgIFTPjrDe8yFDg1Z+LMKlSlTyzYydGhQB+KvaStiejOgMBdaIgLlRux0lCmR37epo/XLPAtvsW2pyvpxO5IbMwT4xZTaqaFaQNlNeKVlWz6tRT26fZ1pw1MzjwV1aynliKMSseLIJO6FW5udvfWkP8CTUH56Q5JGMilSFNDtXgnmZwE6uG4SAoxET4rD7DO/LfAEsGu6PgiDGUtMp/ewxC2UMFSyOIgDBsN1O2p0Q2QFyWUCxZhNk6w5RLNcsSgMRcS9GIUjhIm1nCiS6VPeI1Y6QEK1IVXWh2jc5trCHTXTT2j33mohkJ1WTyX7zFXunGQxIx5TMUU7CFrdpY4hpcm55sJBzOKDs7yuyMpLFExjMPFGK9Rh9LYWcrHAA9i6Oc5jYZ5hzGa/Zx5lIasNPXutnAA7SszNzvhAwIA8VyD6Kk/PfjsUjAjMSnIbhUbIEG/ibcr5Rhs2fEtk+yJI8zm/SpK0HzNjS4y9FlCYLLHNzZ2PjxsEe2w/YWARJKwct/5/KMcIVlZmmQPB4nHiS6zE9RfQgiFxkiMQNXeuAk4hTFa6xBbNyUNxmwOkAykr2zAKZhSQ7ityyCEzZocKqhDUnmKUN1dAziJWEQiKDiBHGeA/xJiInGXNMe/8fwMPejBkwC5fwwjb71gIQmFRp7MR6ZEJtaCHlkW4N48QDkDJsTwCtQknusRYwBp0JXY6IDkMTwzzJASLwrCm+Xi6V4UGh15CT7/3sE3lGAkjzw+H8bkjxEAdsSCpcZZ1wtKZongJRnsscZ6UqWzSlgDaVB23nSJOEhViRFt82snKDMmTpjyGPgL6exIlwZplVbZnAEeahsiVdGYMVlEyRmwiRZEiF8DkgoEVm4TaXZGmXatiUNxVnO7FW6SDuxJRkZoQiXJEOBK3OSSj9B7GELDxJnaFwgiI0LKnM3LwEiFgcla6xY2Sh8tk1JhGSCwufDwDQjXY2SMEGLWoBKZn6loFqSIQ8JipMHnpcSGmhpyNN2CSqA7ZQlFk0qKyZKSTL2GVy8EwixFdtiRDlDMwoumUeBiRSAQ4MyJDFem6gzG4bsDjUKOdHLwANFlJPsuPiFhybSYioHhe60OrQSto3OGgHEcEYSsrapIdaypqMA2wBmKNmUYTPbzGvvG6Hbm7bFj/Ossp3onZOmeN/dg62xdz60YpELksbQmVA8zqKIMeTBj92Zu1bMM9mWhoYjYi7bY6xLEpZlUd4eUh4EseaDQ1HUhMxcQzQiCS8ZLMkykql1FGzi6Tl6QGXYZz4bzuCXLAs6OJ/8vOz8mjdZuCQrw4ZvWsVI89jGk0tMlnHwGEjkQWhfNm0Bs1qy6EJ2tqqeoakHCkwOCoY7EvjMFj/MGM6g7vBozGc644zObJyy+W7lHuis7AIFGWJy9ULziKTRJjQbffht0IDWsAmTLM4fXTIZHbOvaGU6MGOxRFK7PBRxkvKh4ZKNlDOk1iXWEKQhRruYMG3ZG6h47Tw/bDOgDRsZ1JI2Q7RRYgwUFrlHKN1zYjkpNiISTlkybWWGSCROG1fBlJnMgH42BkyEoRGi3AAAEABJREFU5pkJstM13shY+lBXEcPwR9KPMYVbjmEGSYe31OLD3FbSVY0zXDZmYgHdAzJ6sXVPexYtSpZkVwisWfK5IWEovqX4LfZMPhPb4MGixSiJBbHNAY7WlMxJOSXwBJPKhbHEzgqDxXDE1qLaU7FZZCdhNqIMTDxoJVEFUz7jPQUBAAmT4yFKctqTGSPF6Zi1NCydAULQGPjFZxq/Dmwxi9dzAMjDPrP4mfpxkj5zRnpWhn+UMBsLMpJNgqXBmKLekJHEqseZxzAUzjiZysIgMzIc2pm18mHaMc5MCmiix8EKWLx5BY0brWHxYcakbE0Y0hBe0cCKNSNg0Fl45Y2WvwbSCh45MSXOCicRCOUUrpLnjEAbWhVU9chmhhlM5DmFzL13KX/Jy+k89xJT9ItLuOh3ltlO/vcIK+fIZyO+hJEl+cWAUpOi4lfzxEYKoFjJwhF4aSNLEPLmd38VN7J97ZDQPchPHoIHNogYRs2GZMciTqgeUlIFTA+9VvNwaLCRMG3LEKksToQ/4AkSuwUvxRWmuQ28ygCCS3vFX3rwlTwheQxNk1NyRbFFoCWbSWlGYv+maMUz2rMyAlrDIHglUmgN+ihZVKoiLZdkBkeDDJU0JCAx+OudGaltWHihAEXYgDThmzguPCk3HSe7LtqnE6xyQLJQChMQPV0V2y6+33YSPCIMXTI/w2aDPBDGJrOTZNC2GDZJoaPiQjHlaS82PvJQK5RUSGAclOtFeXjCl4rkYMjWlegL1yRcGbUGXixA0wAvSOUKQooiiTkAOj+jbxCxnPIIk79OrhqaFEKxWckPAVKUIR6tgHhFbHEnghclmlUmPxnYU85DOKEjzV4U1EHsEIeGsAeQUAxCIDES51IixRh4Zj/3ZI638BmQFGZIOSCbWOfU0wD3QcAJl9gsFwE8A4UJId2KAYikAhsJCT87YFa6KiCUbKIYTqQ6NiESmCjMknCRah2LGoxpZ+ZUPSzTHlwyuzOXMggJKMEkdynbJDXNS3AXFqXw2GynKjeIh+VMmOlj8K9Nm1fYyskxmdeiipT8a6jgos85bRezVn1KEckNEQ0gsiltouJhwUIgQ+sYMCkGU+ty2iMt3xcJckqBNaizcKt4BHmu4iXE2QTRXdXUikJUdVYR0eXawothk1VQSUqSprAvZAYxnjx14EsMWsQVTw5hJHEcIHEEFLE5NbytqpViSBNyK6JW91YJy6uxsYahJE4FGa8kh+ngKKYjoGIPVcoARGHnNBM7RAm7/6coJdSUc51IbmMSy7xAQkVLnGE0iWyECh5Pl7aRrwD97Btgla08z35rhhQyP1qPQcxKPloiIfmJQ0fBJEo1Ka/qJPjUpuQxAOGoByGWzIBJgCeHGyQnlFjMwH03OEli1QNO61l5KYL5rCYPi8xP9T3tnJYGPzZ5EgKbjdcsrcd1ssXy5EwQFFLR3qobpUritjPX+hxQAtgOIXAjpCQzDAx2JItqxPInBHcEF3hnToilCGkTRk247BYW+dFJg4iBEaY2L2dLH8GJDZhsmILHQpA9xefxSFQpnYBvQsxUb4SuUqzKLtjWhE8Sc1Gjw9xRxUHZkPEwt6fwuDhoVoQcQWpGmVUwXWQ2B5hQFQ93ZyuQEjeo6INnzUQkARe3J50JMiwWEVFcWfW2kaqVGX9cLPTUIF2Tub3dgHpYlHCrxTyn2a0EUqYpspGiFJ816b1YSKIfY5peSe4qmXDUYuvlPKbJIyooXrWmDI+cP1olffEYZL82zQKy8SJbJXGQ4pOEbMXB5ImE1lG5R9IWW2UJEaOKKPRIlTlmM1EKH/wcLxreOVO2KvzMwru2nAKrZyk7JH7LDpmEfIxwHA2tBkq0xlVsVXxvhaay5Ml/5qHiR5iIGNSqXvrASEDRokdOHBhbwh+QCixsB1yOn65omgyukzRFmIgtFDh4mfEiEy2CWmulHxRsaMzoIO2TKnXM0ZNNmgV8pvQ9h2GpdWZouKTGMnE0k70jhVl1mknNlaeg6LCCc2tdHC9p2F+QSpqibpKqzKg8PxyZ4oKm9IkbO7EkjpbUATtbslB2MQmjvSlGsgWHSBK0Kb6Bx8VjU6TBUZiTMgip4aC0l3gYZItCh28am5HIzFTcujRCFC3weT0m3+5s8QkrNkt6qU+TBUZVZ6YyxkrOY49ObhQyD6p3BOdEY7It5Y4PWBJPodbAnwjj/j/GyLeCxukhrVbNIoC7klp4oGFwR0laiQ2OEhLFpcFbULLoKglYuBlFpOREAgqvIJTM3tIomsRnvWVFkrws3i1osoOaVAkGAecBwaAqCl44wlE/LtgYYAuR+YEtqvDyA1q5y6DSDDnbrLLxkl6MqmYoHBjCk9MQdcWoN8U8EiryNUCezcPJBGEBSBIxVVEiEzxlJFgih8IigPTVyTbAY1nKQSljhaCRihlJqN1ZcMYi2AIA1Z/jh1XhkLDv7uYHSsiyaK/SxjpecGHBoMHadgQRFjNe8iDoUJaCzosMN8paEpureHyQ6v/ZWQAYLcRm800mM2mBUZjRo1SZk6oQARFAHkKUyMLNvQrBzeQ42CYH8XaK1It3ii9g7rTUbJBcdEZjgh6XAoNCMBBHobzkAkoprpRIOZApSsEyg0Arepn3aCYNXqTm8oKIqwJJZMDI/e3tmdgSg9gSJRYLoAUvAkY9qGY0nql4lUc5e1heFd1K5pGmx2STupBkbaPiTEjs8JuJAZ0ZXn4DoUXAcuDQxEdMBeIqarIgtNtgOXHZFg000jogpD6RgFwUA3HilpOWoRJv2QQjjhcuAIjYmpwgLsRgNFAyNCbFBhcKyWgXlxjEueNmKT5lUL8a5J+fYxPBAwwquCyl5S2cVW1kIqY47PKQ+9Ea+GmV8EiMv17D9EZ4bVtjlTtE3JuREqJRW+ZjcHK8YSSTDUHcIiRYdfXktqISRi9ULiV3yeCyWAYbMWjj2Xy1wUQnBkggliCDiJHfDoPQZIWNJDMHGkzrIRkzBt2K5DDyXV/QCN+Wkk1MW5TBwhcyaMCKiQ2HE15IegkugQKJx5JYzshuqlKdNg1B6jit4TbTEO6G8C4Qi7PE7xwha5fZaFCCwIkGWNzRqNZWA8OMsNLbZtafSUB5mMUrFUxzTpNuCTQ7txCSOuHk6zDnTvNSAPan2f0ZuEwsQpwyUMMkGq1ZQdfW0JwQYM4JjBZhJaFlpx9cYuAjA25sFBh2KOBkN0nSohwGWMERIGsVIBwktOJwyBdpXgUU3GahVCokHB2MLwWdGQuQuomiimhORoHPjFRxTCBhFlwxQm6dI6UBAmL1WUt5I5TAnF686GQtOiIND4It9qDcjYStPgpQTJKVUQkpQ0xN1sBNJyWnStKpeLMv3JvupmFIppOyhEIKQgtNxEVdO0i8VkjhiXCQtIhWYt8VBT5LB1Y1G729xSwOz4xKIzg4WZLTffTqCS+r5HSDFkqsUgAuZO1deNkWudAUdwmIF9/rXWtPMGCtFaiSAGQuBI0gZuB4485meEYwwZVOcJohDBZ2kbZsmVh2ALPKDAjKAB8yM9TY/I6u1CvljvNpBggQQjSukFnSJ6Ro21Upgd5lKFJFVE8SmhhZcmEXdHHLuS/GJFayrShrgbGaDwWHxcek5WFlzPJSJFbLxSUmbFqQVvN6G2CIyKpM2Z5tEUwnuc14XZh4Sz2CtAK0ZJ2SM3BMLsuDRQnkYzkhW4kstiU6YULyXdaM5ApOYCwlA7uqbl5vXmrRlmSoZfq18iOxiLNgiYtA29w3O3mq2pUdJJoStFQ5SDGA+U4t8eCQ3lGol5dWPSox0fiVyIlCnwoZnF1wPAKSCWelKTKIgQGPxmkGE6GuKYrW4uKrS7QS9Z1BvmRV0QAZ0Y1KQr8lyYotbeVwK6MWCEpo4QVkNxjonp3ccLh4SHjG8CNsLU2iSbRX8GHYlriKS2vYQEtdHHTyO/2JprowWFlm6W8JyVaC1VAmvDhHCSORKHQg8Vsx+YksPNiNlmKMTOJI8MqMlTHhC6nGhoRXQDm1eBPTFzcbGHekPUNuhKwwCt2ylAdGMidiZdDAcB89+yxuXRlFYksQqsQsM2X3RrMYyyhzLLHtzMR4xVJwKcRT3wmjisAFK+icJUZtt8m4zCSuOGwU/MzIiGYFi5PLIC1RKgkBFQabhxepmCkXjjJQcHNv+AxWeylbXBg9o6eW9MMJwvPNaUh5cqNz5Y3OWeHlEHBV9ktR4qigFBI7x0MDEh6kCpwQsqEgkpid2FYkYajHUnprsYs4La/FT6rQiLqKWboOr+/SmfN8JbPZUZtCId/KRIQbzRwaSSPBi98t8gKbTW24CAoFUXCHyRXbPA/W9oOOSnWLNYfQCqHZfnpemfFuCuFimC3QH1q4XJJHsiUmqaLboMrozqLkvvyIm4mDI/6SYhmJI68z0ItL6IsPIYY4GaPQX5cgiLVEnHpUEYKw19Ak2KJ5WyJW6BLs0Poqhyrm0Ryc6DYfgqGVLdugyuCsBgXtAq0itKLMgdON8pbwhVbECqK8PH0uSjIxzGARDOf9RvEqYSfzwLFS4+lQvEOMpBRNoEYmeIhVKCt2KcKAUFrKOkN0yMzQyQaz9TxCKIpdzFyU4e9sgkVAFbM6oa2UTDWVTURnzjuKzssCM0oWVpYI8RhmI17HYlDIWZTJMgMa1dBROOQBFEl7zpHahEl8mAuG1sQ9Lc4YAC+CIuV2oGAmyWClLkDiadi2kCpLIwceS/Qn0DBRLeMCSFhNkAIRigizhGjFShUzgFpnZq94o8QpPoDQYcAMTgpscSPRnBHTlYQ0WNAQMOb1+U8sgcy4URB0BGXdSltWRNHSr21iqSGGQbJZvNAIQZFBEBuoiv3SgGyopjCgelgWxyKbVVzQCqDKzDLZCCllWNRkYzkoW3IP8SncBufj5CYEF9SgHckU3SYYBS8Im0VHkdJnERtCAHSlgYohuTOzoOgvAy8nAAg/VGzlUwgEFhZKNp5IG0PUx8ApQgDwKg6s0vZWFHjJw6JdcxWdlXIaQjNJeL6ToNrDaRTuqR40VMRo2GH204UGAVN4bBSOyFtCVj6OiJHJ3jlMCTGFQWAtna8MKBww1aAi0BzaqmWTvbIJFBFbJqHdtbAdGhSiimeWrFZ+ytKs6t9ZBa9BZRAvEd4o8FwKWwwaVwA23kTJnZ0ObWtYGdVodJu5GeColTy26bSfq0aLua8a4JXeQORtsi3b6sls741QCZJ4aoR3oODFRmEucoHTWWGJOIFEL0FX+EEwABDTZy5AqVGVGClTNjEmgThSnHSPZXet9VRD5VgKTykOFV7b6h8mvBYpSgzbcdAeS4n2opIuevwq5r4qO4QhWVpHzMNoQkAqVUJDJxo0SnGUtVABOVtThjMlNQoSyx40RWwMSvFqR9raJjZY5JAIcUYr6sHTTvZW+XhaNQOUZdYAuVTDDHiUEz5eIWqaCywdyfmlEA0+eyYYTx/a1GKXLQPWj8kZPH/W/4wAABAASURBVP9ZuCTHJUbWGMWUhByH7d5pn56EkYnLRl/1sMQwIeqqUTjOkvvAlQb7Mv/hVZStVbw23lyclwslMRJKZWuGKRgCwVuKjsKKCzCiTHE5ihgOjTW1Jp7ityEYm8jDkNMUSeieDnCHyQ3tXpbZM7UJ4s9liHwSwAJhzg3nMinE97YsSkAu3LbTBxbnV1HbK/Hvo4VfHCgZATuSVtk7oMSNkwISiNKh3mo6n36EcyyWSIGukAgOPc9fVrPJpBAKfqTslJtMPE+EFR/+4C0gNgnLBPDZVvkL2GuQPRmJaCpbLmjCLnEe6dbpGYBgoVulrku2SY/qrgRmSbmUpJm6RBUmViReQL3RHEBvg10Kdkt0sQeCcdMJ7RRhk+rKZSe2cEpDeACxaD6CnT4b19v44cZLOss2PvjMQkXQzO6qmCPK5uPTmli4W4rLTQ9TDLvNdFFdiAlYnFD2ArYRktCUUI+lVMrFDlUY6In3eoxFaoTDid+dEoYLlW2yFyCDSM5CaJnMpCWmBdqUFK8knJIwiksUlGRUAtMe2SiELavhisNaw02RsIFrREEXI53EpjNcWrHLF1sg8EkvBjhCdSVhOjFDgllanq1u8SCo2BBbcQnnyCSGjcUD4MlPbBWk4oERLpIlzDjAmUt0j7croje3QsPZwr/Vhd4HD8ChURcQHQVXSnuFZiYWV8QpkTcTw/bmIDl24URjJsZU53wlEtKtZbikDeYYmNTFheSBD68/4lLhrWVIbpupIJIemTkfMgs3pvhA6oUJIXmJ1ppUtKE5rEZAyYyKTSMwUEitLLlISFMKL8RKU4RCgStGvIUpjZDoiZCiR9IRUVBUeFBsw+HPKRRV+GUZSXyZ1OktxBg2iZQp7jMzkovHqIKqcCFKTHzoFM+dKExrJl+aIAoHsxJXPFUxh2d+U5LG84xYfIRJ9EygjR0VW5SUmAgFEhBpa1UpLKTIIyh5ZDgYw6vSyqKCwI22MhojXrDx4LONV2+DVLIALUVgzClGjCCo4ZC0it+kHCkIAkjeppK7iEsSLnxsSRsodHiY7WpVDE5O9N2ddyweVgFSmQ7NAglYDJ7QeEmmip56az9Sg/BK/GoTbyVnVfSrgopXZILFUgnDJZIDFqs90IhKFrQikIvY9CDbcoKV0fGY0U0gG6hl4sFACFxeNwE8pkS2YaOzJ0WJHlOp1lOl/woTvCQYSYhi0R26aU4MsrITKMgGwcCLz4ytiaY1hfx4CxePi1YLaCYngRIr9xMWZ8ssHCw2QWLETcG2wuOhBpUFAbwFzspLQ4VHAhEDDjMtQRPgVBhFFygQLcDctcHE66q42S8rQRgkYCdi4f52EmJBupyWXiZtaQ3znJKgbMs24GRlQWzTPZuAzAmAUIRkmII5SLqVwDW5VCd6QBkWSY2Wo5HMnYJqFC2GasDAKw0HLiuLMlJWabYRPKbkope6KZKQj3aUDgsysJLOzvbUA51nCW9bIhHF1n6CVAC8FtMPsfJDLrPV0FTkicA3AIvswk39UjZeFYRPLdwKh4mltiwkIAkYAoxOADPSNfhCGzjBhZKPKkGlBFYUCrlQWKuvuNUqnZAs7fU23LPsRMKyTBNhkK2iNgiQlaTKsJ2DahS7+FgbYIRSRGiACPGdPjxAToD2UWZyl6CvbmTUrmUeLwKlBijXAcLHNlhy97JwsRuHFhIm/Wh7hkFzLE4VPBBLMkMMYihKQprie7SXpo7l1hSKaFR951GgyZAkdYaSRC0KbL+qY4FFnCkXXXcIwCBberej4EyCbSlxamQSPvjFk5hykif0/FHjsJcXggoYL6BZxGkAEU0Bz0aET1IlMLks7hQYHz4Gt2aWhIA0QK+IOiB52i8NnMSRijR9YlCalFMmKYSSDa0FFw7RRpaGRlGNU6JkWYQUMWPF8OvDkx9VvENzoDhVSXpmO4UJCTsNCIUSoFG4pGExXLMEQ8J0EeISNO4tC54URQvIImhsl37EQIOBIpvwkYlYVDDSAk+z+SpOtyFNDUIApbHxJSsApjUsDXFnqlcbV1Guihwlq/spSX3hlkaXAMCbqnG2Fyix2ASKtJwMBooJUcCl0JbJWAxWHLkJli1lekuiHqS248Eqe9MIj03JCCpiqoRhuiIHdQETztJ8YpG2hNIbSZ85LoIVfXmJDVAjSiDSiPSYYzYIUPnvNeI0l8TMfk8Ubh3TrasHdLwg3A7qMgeGlCUXYD4ZqVq0H4c9hvk1JLDYWfuq/FdvAdkrkSjMBHE7RnieOlkurllpWIlqryUo2W4JQG+DMh4icIyGZrF4XZMnQbyhCF2TcMi4EG5jKMammMa6nU4skEfTepq4QuVSogDNWlALquiqiuNV8ZP27H4kWGzVsHRmnmRBti2GhZ3TkWAsyOTUMCMg11jXgCI3R6aCZZOO7RjTYjBNmxldZG7tzaaBqjhscHesRGhh4sltjQ0CQLgkTtIWJZAago3FzEZsU6ETzmjtFVwukaPgr9PGU7AtF5fJnN0JKpxi9yeyIAOvODFYqIJdJChOs0UEriDjGrY0u2e8FGTjAwgG8wAQzU8L3oZTomJydlLqlskUyG1bzv8FIBkiudk0E5XNQ1CxKxVPyLSlH9LeWLZBpximpLvfQASzC8kpV1KU4DWNHgCk2axFmWyrlL+sKFklZotf+OYXSJTynK9JRjM4ldtRNYciKjwWw8y8ZZzkaSaJRVsaebudsFLR2ghNEouZiwFKEE5pcIpMxsPFXsluPBhZJN4K9ahATjY0GICOCSxyU6wz9/ngU/CsNMV+445VBGflgpBsSlFCbQsRE0uLzZZFAiXK6Tnp3eYwDkuDJwz2m9JqyRySNENXiRJWjyqhIWcQ8nyVMWoMyXYqwKBZJdKAYjgl8r9FRExo8REHM5mLWEiVKxB7QR024SgUcsf9QAARwMyJSIeLHETpQqID/8jMowSfun2jRRMob16XAUwDyEBPgpy50SuGyEZbJSplqvxScHdlJVZSnyqvKn6R2RSf7o1bUCE4z6EYnXuWrWnHS257mvQBoSdBiO4BYAMJb1UaFeYEsXLWZ07FKXqXySLhKjHgmoHGCQAqAYkFLAz19VaXNgCGrQzmkWvdn5rDxlRxigS8BbLDgs1jnmgs28OiDvPA8FA8NNoWXJzSMBodFUw08aoWqckFwCx8BKqmySDAE8lkzo7q7RTgao6yZWjlTsWuxfG2ztRe6pdwEzmShGPEJhufAAaHV2uQnkNWyCTChehtVJTmMxWPfYHMcOOYiSU71Ws2SOyQPQduvw10CU9flacCT/WDVs6jJW+/Z9M1FWzLU5JzLJ7muFMKl5LaYmDMKDa7cmvs3Db7TR5b7YGKwIYm6klWhs2aI41R6MFZOBWQ4krxLAsR2WKxph+YEcBaNyVW+0UsBg1DndxojgcHJWgChRApzUhTHupdKJ3YmCLWQvGpbJihBVRG4ha1Cmcu6lmzneEPh0xTFkoJd00zamLYa1ejzG8Pwkl4Mpxwi1ju3BQrNkKvJRFk6J0wlYY6ELzy3+Ad+INUYmcHK3t2newVBJ8HrzoVeryjBoE2hM5XZM5jINUU26fn8KHS3sAp1i2WZlQ1DCTGmc4mS00zy3mMC6CID1CniaUaIs5MTrak2u6sNLRxw+dgJItG5PzzCLcbnZaAUETfuasOp5KmrTJPsSs6yQpFom6XsF1OtDNXYZ3hldCqRG2km9Liwc1mgqJCgYrSMok2OxGBsMlYmjDJzTxhRsOjuLg6apvo3QaDieS96my2xZPALNkea0bjHG1l8PiUWi1M53tD9hYkrZ4KJyno1SUOlPYQzg7WnN2OS+pspslsV1Hwu0fBj2yg2BU+OtAa1bumt5xaQoHJyLwZyUJ9ADTmFrLxrMADS3+ADmZbw8PGILNJTiyGMmh1C5HwooPSjZwcKAHht/fMCQPEuWhvW5kduCbYg7uTc05UiJw/ocwYK3N2FyMtUwIQLQCpScAcIxdJ7a4rWOkKY0ulvlni2NfpwUVUyu2AnjaU90E8szV5+qlLFhjKGHJZ/DgbWcmwRPqahPDpoSoLGisCDXHxmVUSz4MV94oUUKjcNtTi9QpuBkeGEKC0mggIMYnoWiSNQDWQTU8RKKYNkpoTCbNYyw1wNyBPPLRHzSGSUnFyrxVdCcCnvER8/YVDaDcSLq1TC1CaeJucnkUJ9cmxYZEQFpkdQtWpA0iCwJwsLSpo2R2luUnBySvgKhLiRKfXVC0s5385Kl4qYRKFwsaSrJm0hC4XoCgOwyGWh8w9FdWxbVbataRcoQOLERcVhHfksMyBiPaHQMPhyKG1tkKLTqVBImhx8e+f8hqzLBLQU5FQTK0CZqV5uGw8hmiPPRJhaKKayJKTpJYtB4IQxZsXGLNoYJC+9xtae2Wjc6RUGSI51cmEL0mEj4SSzNHIpACmD0AP8gPFoj+WSokiQbzubdrZMln4XhFUHTAT2SWISk5+RWzvAwB3x4ZRcOFLFKJv8oUq0uBARdsOhaACXgtsSxE4tJQ6mxMS+MCSyGqGxLQETRnFFkCgcSwJIa9wZsPcaym6SNJ4T73nnsIneHmrDA9dirKomLXuF3NvgD7T5JS5A9QETK6pNWiEGJ4PcgSjBO8SqGWrvwvGj5FyeKNV8SSjkBilOpM1QCjCLopBlHka+DSROH6OHFEPF8zWOHlUHEHOxgAklD4ixTtLJYqwlxBwIbiYuY9lEsVLiggo0inYJASZJmT3IrHELh6Q1BVTsVdOgzAeAPWocnZdEoozlIlSZocCpgE6pgSESpIqPJBw4qYjwEFqyfxIsoPjIKvpmjuREKWT2NpG3KKliUL5mb5Izt1hLqVqkkwOlJWjV1zQaCYpSkpDdAMfnR7yycax4mkCyEgcmVlSOx4uOiTllMBQ4k8ucgfSGrxn8GgDc0jcXjsBLtui7IrkIRDbIL7KEqAmmasBtbdzkKK9XewMJgpe9+2WS7CIU9lopEGRp4tMXOrmZCeyq6DnQyZJJSdNiWGTheeBD5IVAkpt2ykIgWARS23hipiQ6nIkDwg5IaHBrsr+EuL4xT+7LG9ZFiM5Kh0XD5a9YewCjR7iTlZuRxWpmJrDvael6hxOD6RKlizNj8LBVOrMTNnkD6VKZTaVkPX7LrtWjoL2hIvelQHNtIJZUfFSF0djKsGNag9oXPF2uAiR8CHQpNx16pkhMQEOi52iYHJbiS0ZzPy9AUdsmOeBurTL8QCRGoW99N4IAJBYEWXwxwlPWxFgcImHAMXQwCYWpMRSZ51Ggtm32Esp/2sWUZLN7JXHIT3iCCJO3Yac7IOUCeoFpV9VspJfGpZ4Z4mjlqyQMIijnPI/ZtE3tL/5cJcNG46EUlp1oQ+uKtOQMtA03xRWDiKxVTJxlCAnITQZqGvRlPCiwyh2ZN4F8tEVoachi7jOmvchbcsSW4TBsypzmPznSWCIRPee9tL7wwXMxuaVYcYqka6SAXILIAznLchwAAAQAElEQVTqbYRih9teaAwvxmQZNowq82CaQQ5QIGZZIFVK0dhsYhaYjFVcUYoj4TLOZZaMUXFXiMmMAYdZDRXdRDZXcNG2Hf6bxd2n1fDRcHTG5cxc2DgQraYFhxMkEZ+EqjbF6DsASjI1yPHiVo9kmQkUtQuI25NwNBqKV/FwPOpBuQYTQkRjPyacwbGLQ0EVB0GaaDQAHxwvOtRWcKVq6ygISFuLVCBwlwRvDQ674e4G8WQO3BHrhqprEbtc8JFwyIdkOzym8WPlMFajHHbJ/IAiBOvtbE12kmKjJUJvg07YI8kXwD0ttMqpAsImNwqYjcUaMVVEPdMwKxxTgVxQKV24oOUFUZhcZE1uFvWA2LbzeoFkU0qFJMGWyUsXnYoo8rMZnO0r6uLhXpf4Ndxkpoggh9P6CjE66VS221VwCjM9g1ScWhi3nvMIC4fEfwxC8HADdlbIxNI/d84JRVVuY1YJesnNgJlcRc4aqcVFotjmg6zQQdhE3iaRnGwKGUYqxQ+6lihcgwu3tAhr1tvw4OMshh1PusJahVCoRmOt8O9CnH8Es8JIh+hIiSyYqLSTWV0u7UWpVthakS2hZW97tamL8HTHoVQsel5E52DCAEfMpSQMjJKt83pPOx6O00KjiEgnS6Ip26iUMzbXVkZ8nNJ1GEqx1RLaItfUgEwI6ZZiqmLA7iZxidSiiahDZsnV++xmOgBNpM2yCGjQhs2MDj0KC8nN792wRTYXdZTBy5sl5oSLjisK11BvVmWqibDKm1HMAAockM0Qos1mVUxjs1GJJABpJovj5+LMmCPtEVQUMosFOA2KijFJRxg4IqUllMq+sSIhA82CFnEGt6k5AXGSZDuWRCSzeoKPV/99/AD/qkhJa7Mjd0jKgq1GqNW9UkeSObBsMcUxsILD1OpfAUUm9UiwxOG24qhEQ+8oijXOKsFKdXanbVAjbryITXSOCCfmnPk+gR4pmFmJDUncDy2FznHkTikIILHURlHT0FHa7AIB066ZOgIFAhXC6cbbQ6uhkjkZKo4SPeVAYvVKINIVYQF3xkq3ZOtTTpJucsLspHxNiceyRRatmUeAg0PAQPSXEdPJCUYtzBbCKQrGaURfbeMSVmBU8hWk1AUsOxhWEROKKltaWs9vEzx6Kw4cKob5pKUH4rFponjsIaiSHgj3gCbB4MzYIxt3Bqvw9lKE0CZEelAG8US3pgqOypKsUitmlqInhRh8QAVLinSxXJmTrC9IMH4kQQfZwivPLogrfaLg6qBqhSmp2DgaXouGl4tGo4DDN1Y0mbkFBdAAVc5A03BuQWfDGaTbKJFVbl02HFJkTqi0aSpJECmVilLnKcLaU3L/KJaVhRlRkRFbylrKIGWUeMVvh6REJy1ODgIFd6RWFeBN2AJeDKrXYmBUH5/0IwmKelA8rLTz371kSXxA1TQj/OTpBkyLAWRGFAcwQ4mMQc6opA9JWUVd81tLBaHvbc4cUPGI6FnGhFvKajcRw7Env6W7q1kqZZgqWbFx8JQBI8uLUxOq8mqw0k6g0syOOrKSFrCoi14lFBUpASem1C2kDRAkzn46ktDiNKKo4oILWxnEogJWfrtWvvFwK7mZQPFDJXZKsclOgkpZGlAlWYfhj0498+/Z9I+kb/M3akDCF1k9aKZXkcmdudAk59dvZ1aPBtsfMxVEc1ojPQKZZ5lSLv7CMwnaOURVrXDmGo0C2mhMgNGWwYxkcywSbkOtTSH56m7LJ8kC5LLZOOuy4nfqNpIpvKy50EuJ5Gg4dGaeghWIi7Nk3yYcRyd6+wwlCM+POpjt3lYSopEA0crWC/8CIrKFqigW2+O02mgeYRJP2La3bkBKzKYqg2dGxNoxErLodgOkz8pjizteQY6gsw9mKaYkM5TMgHF1HoIRafOiI7lXMAC1DULBMYhl/m9iEwyyuSpWcYxmYGSD7QVj5e4AGo1WYKjVmG6toq6rbdQFrRmTuLn22wRwcmrOHJT+TKeM7BEC/w7D7WBL3MeYcW1HwQfWm7WeBiidV0kVLdmpqQSYd8222F4/n1Xc1H5j1YrwQXQXad0xDVkQ5Gkp3pp8/rpsbCUzUws2wm2NRS8IGq1DaiUTFyYucuLqxgEi1UfDm8mJlCYmv1eTrmptgoqLbzrCD467GwYAdOVRr7RZNJmwInMuYlcS1dCEPuQe+DkSuxtTwKoYNjMCPSCFkNhk0xqxEkuK2tC3leB60yFvXrQllRIzejxYCM0Xu6Y5zoFHIp7VctfIl0/OjJjJH68w0VI4zaURzI5gpVHmv1qVRM65iBJJQ4OJFHoTy44/fZhBvPCta1NyEnICDI5CPvjDHLXeBrsmH88KCanKHlFcYM2IOzpbXLborA3IOOdMRPS1CUjr5RA1QwUw50FCG8xlEEUTqSJ4BQruoXbArFykNsAWC2IRsFhR8LHIDt6aZH4ySwwaTPOmBEkA5PiLM+0uNzCO8EjxhsR80xvGAGOGjJK5+ulF+6vYVPBCsoml/ZidgUUKNBSbnswYsmSuPjX86sGB5Q6msHPfIDgjrGJIIMUBBkRFtILRECiIFJokWJVbJgZHkLQ8FU4JkIhNFNl5X1EQFEySFswqEGilGOgoklBsyzloZsQNlllFdjmDGUEjIYFITIkZfWQ1Ovu0MugcBRd8nknMTeeWwJPwGihd9SIcPDVptiodbg1g4BF8Nk2QPDV46JWxnHlfczJYxfPRtWrVZV5SoRNeXOEXCakldjSA4uUiND2ggeEqJZ9kYUCnQoz+jwLFp7ySnAndxlOZhVY4uZRBEnZqDtgcZxxh2NDi5mtbllDIRAeKWz0IlSb/ETEWsaLcXN4qbi5CEraKUsXKY80COR9tBLtyUlEkpwH2moiQ9ZdRFVThhLZWZRCbxfgl88Nshnr8UMpugMkMGkVDgk4sdodF+xCDdSLwgH3RPJuIuvVG4coeq+nce3ydWUEznQhoCisfZpwSR5SwjqhCpQwLqsfw8goMDU5xILlxWkSQ5VteeeAo0XmebvT2wqpWtAZkEooqtuyY6lUZTY1iAcICUHQxiGEOyOZBabMNLIQHr5/TubYe5na9xUFGqnK+21FS/4f2pqdkIldZZrbiDJikMi2TYTFq4LctNs9kRvEoxUmaglo9UMCARHWSxMBL5iQVHPYDKMASP/PEb1J8Kh7IgFsQvtCSr7gdFQWAOwozTmILFJUb0QXt9kYn1+yEXQ2kpmhZWxYWMKp6ixWhZFeFJPFHz4hmqcvgsryVE5uwhL9Igj8kkTIOdFBEGW4eLGBKoRAbKrhICJygPE+Jhw5FgqG4mJDRZHgErB7wg5lNihDxFOIqM0UmMQqInwfFMWs69QmnX0qh8FawuQgEjoE5PlovMvezhR4/fJ65Epkqr1gyFfS24UTHpGMQpVCspIwdXVFq0iixW2orjRbxqQErHHKgSSTBbKf+OiiFLOSvXvjElAiKsG04AcWNLYlmwCWBoZjSoDGzGDhf8N04eWnKhGTXMInRW2M40SNw/jQCcBlaEqIKPUsQqNmsuYe5S+2aP/xhUSJxueKdM4cECGlkYW2ahEVZZpEZKzeac6VVgAi3WoKPCJpD0DZoBLFxSGsmS6pytcfYyoUizoBamOSIXSCxcjSsCyq0sjEQdO4mChJdMj9ihMYSgZ0KUWVbQtRgFC9TDNPAOn9jEVM1FbDNKvdPMufCIW40PsLEwltcFU9PCecGgEvxoqyjRcE2C1dTeTsI5MmBSHxMJbyd8vQUEVqDJtwW0d4gOIurFRu8IEERkISely03Tg2K/CjDMVGyBbqV8uvJFe9wQMMUTxPhArbyA9aFCgsdwWQOY0I25zZJx64qbzDnVrj74uCNPisDhSVMJZZNhJP6CwvLpm3gdCAnlijEI+eCgvwFTTC1AauAEfUR0JIDqB9dk7BdyqC/6WK7QCUrf4NSVFLqpQkNXIgEVIOMpTW2tkx0tqB2sanGtSBJiaUhA/eJ4AmpSNOhUiiTIVzqJhNcvMWswyTISwo/hKLlqKCclDwAI+mC1QzRSYs9QlMmCyZKpBrhTzkZUz1KhFQpAK2KYcegNrCWt90SlemODlER9mMuhV9t03hI8KQccLvaSlBim4ECXeiW0UhCVzz0yYJt5YZiWIkDeRM7/GXZyx0KXMAJwtJn0kjaSwA4ItmEUC2lwHFLgFojcTiRdrCCcyjVNzBlRFabyDcUHYsUiW12lBwcN17r8CruROptJOSH7ozKYQgizx42CggHRx3DrmSUOBYB4kUPLNT4xaBw0wg0A6KhKBdeTHI0gQxZ7bgABYcNg/UzlrUGznZBRuhKa1TOYpkUQoDXLEJi9Dl16kXjQQIWbghFUoubwGXGCKAegSkFSD6XrWHRdl76IOj2kO1cIwS1ajyqntE4sbDNNEoDRH0y3QagCpscZEZ63/YKLtFdu1lpHrXynyFhSeaH9rY61Z8uQDYOiKi5OxZJuczgGU4SNptmpuSo8VuW+uEobaNw0gwV8KHUDGVzElPQN4vttFZvM6nxYkbhg6TSMCYCBfAtgtTtKm4icPx0CGdJ4UfrpXpg0VdRXzIj0WIE4UKjVbEtXl+tHsSgHu2zpbUHw8AZh9yGNOC8peXf5akWt5k4gpU6urnjYkvo+BzTcm5KzpR2gPAhKCSpmiKzE8IdRyWd6UQ1lD8EGhQPAbxB80UO0ZyVQWGjBTMDGihJ+CxbeiKroICTGb5iOEp8YPGgLoTYZZPNUKvhGLkChFEe/aA2dRKMYjMJhjIsbCuNmhqdRQzyodsBMW04UHsmD7uDgaPo2USr5pSFxnvSW3J0HlV3IwRImgGhuYwmeIa+flVxaDAs3GCq4nu+CaANcbNGGY9sOhLXGcTeGxnIm4M0EMUKN5nVqsSKv2vREXcGmrjMhxI0G70k2SjQKrd4WPzMoE0rmDVpoeKV4uWJkOZkZ4Sbx0AqfuJjAWvIBVckoR02pVQpTY3Y0ixJJXKjmAKxJl7JUQua6ZsEjagoa2WUwaPkGtAtmSfYtI2wU06PGzCkKEUVGHCoJ05Q4FRicQjSANUwAArZuaMjiZSep6dtXsfCbw1JxS2rKObvwMCDZukpNE8NTNqlbqecUEuyFVzb7IRQRBVFJQIJMhxcgsYlomxtAya65c1meXOSyA4OR63EWUwRMyTzIzSnczFYK+UkU5nj1Rr81Qe+dCVA+b9Th710oJV4IYS6ucwguBB0yMBr/lPBgdECjXURztbCrSsY5mbiUnRhVxWZ0X6EAIYg/dh4EnCSFQp8vMN4p9xZ6LJMFHeTx0GVu5BqreDEhRD1JhwC/yGSHZSc/V+PEXHG4AKenRClimnFReEazt2UbHPlV7IzehNWhlmKVNE5eQIaYcpRsKhMkjcKepiibckIrwW75FYyw5RERTNNUWXRUWbIrLxuEA2fR1cstsXITqLYJCn2BysJovX/h8Q0AIYrbNt4bT6DhCoRGxeniu6cI7612nleZAAAEABJREFUAwuGKSWGbWYprxKKM1iVlUvD8nBGZR/TQ5awi4+/MVBJqh6ArMuLI3fTeT7pgQwSBwecWJmftJck2WFvBsabWBQ2FoGkLVSnGIiMkXUKNUaRQSkkNWITRVelEWUM+QxTkj2s/jGbEYNYZrwu2UafXMpdwTjjcQ+YwzGjXaxDQyIXSVBQvfIMm1Sx/afXTZbkhLCwyraCKyM6CczALMU7RSpZKvE2/GjAQTKlLjoVbdYwJWGS6FSpXthCYan+2mHZMZJYaDZeuzSECiBiJwzE8uDtWFbx/AyDbiaaiUlvqMLjdeUXpFLX+ZTGVzi5nIFJxLBFsGRbQyC5eJY8IILYZ2N7GmGw9yrWOtGD/HbgxAASDFXARi0JrXhnsdJFAGn73+SQSOMzUR93BysDgyW+xmyThCMHtN1sc0/RxSnakuW3IbIWZaqSQMI1lDFNu2XUQlNAmzxsDaxbEblHe4UrSVjFNYbhJ1bShFaFUii0VUWYYYnL0uDNprreBqmWigJu6Yfox7DODKw16AHTdsqwtJA2hbzRFiFGN2PGCpYSJYWs1KKoFEW46FaCSwm38v+R9a7B+2/nWdd1ree/z0kbqYwzouMIVUdnVOCVjjrOiIVXjr7BF8UZbX3lC0qbZielDT0gA7Vt0jLOKMg4grQ5lFaa1japEiqFSqEceoRCS2gKSfbeOe0m2Yf/4VmXn+tez++/U1y/9V3rvq/7ug/r8Hx/z/+3U9iANmRNu61zEGRC8d3lMRNkWAJBwNdyu9FuQSJfeYzKFxZhWUWAgizoiY2Vi8QfodKXUjaKcpHXlOO+hQipoLJSRnF8kt0YrMgeYeWa+pjXg4SzaDWxIMPeqmBAvn93FGAfu0VUAnCkmy+nV9CgXR3VYcllyuO75sIgYbyoLZw/NC4NDEwNJKx0i0YlYWrHU7BNWxE3yiAY0VkOQkxFdRxrKoncWoZpS1TIVlj99YoA0BGLbbXZzLBkWy5NFRcKKRAlLRvBmsHeCPRbNnPHMOhxs+HbVMa+GLOoXcK9g41g/l1zch4bR1XU8p1vYtg8wha7kv3GqIqqwXWBpbEimCZhv7g5EAkWnQ+LCUdJbIJ5MWqVAUYZ4cAqKSIABGnBlPnhFXpVruhEU0OYkZkCAu3xp3l8cW8XBgNcTAQJSG11cSOtxS7wMsEAo93g1QyP/WO8GNYFDPn0o4A0tG2rsqmUwO5y4KEythfkgEw4OghE8TpColOdmejDwxu15wuCi7h7fNLCDF4rNDZTs14WjqHB7NWf/rLAClVtQIRafCqlRTR8EQgpY7apwvxDQNfRL7Y5IjGKVopQlggjy/Tz8ZG0eNprqowvJRWREQpJ7notEbRlILQIrX4/QzHMrg3fbVly+XVFoANQcAU+YwnmLVhbtDIxEjn8Kwh0mcXUF0FdoXBc6j/h2HwMuzXjEox1sQGFjdumNxqgVVMO5sgkM94tgWcSrL75zKoci4ZbBZsFiXJ1e/2GDASQhoVG9sVDXg8Gf8FZYQsAYRCDjz2BrLBWrJTb4BJF2OxeKTiRAyZdRoO81FqJwUyvgCPutUsLK0HsYzOLIRJpgi8YSkcejiQ0USkF1gqIPxGDe7PNvAiRNN6hIiEw0lsMMaIK1IATYhGeKjKjzahBhJgwRm2M8a0hoKIw0jHjsZlcb1zothnBHo9GYZFM5qTUxYxgm4DQsBANtbLdkbh0u3t7yhscU5kgVEgk9EbmMDCLdVEMnZcYjoKmMkxDqLq2eNHUmThzQ1Q4FEIxYJvTQWG7CYxOtWLjjVXhxQf7JqfWXjClpFsciWJEixdcfoeHexj+gRdokgHnsWyhiJlUHL9owamgBRCD8DhcNrwRK7AE9oZwIoUDh4fOJ09a29vCGwOzxKZUszZZcFqTQZFP28QSJdYqbRYpFi9LgP19FRsQ1gZSiIgcbRuOINqXIqZhtmxpPvBGrKVPyyAMBGHFm7xjnoy1gB8rKSimMhl5a8IQoQDYeYHN0ixMaluWqLV1IpxOyppEFqwnPN7AtkVHYjPEyeVYkSS57pz3bJYQGrj/+RcZFxzN97N0D5FBwleo6IQW70Fq61LDnlEUHVprPsmsiX9SEoToAKw2TJOCmajQCBQ5Zr3HN4A89A2DTlLiIYgJWhdbUbiNC9mxmrcDC6kVR4HQJbkfLkabLJWJjJWqBmSAHs9CNCNlYwVCmG42ojtF0SpQq9q6ol5OCmunmnRXIGElPYB6bGjTySTOU+QhVgtBsiRqU4uvj9paSOewqVEp2h0hOCLubhzi4bXZCMKJVCyD5AFkggZRSyyFhRPOpSWhZrS64YCVi63Inj0UqxVMpxzwmTDinEZu3BtWMQn0dOPD7/6YgMXVRd2E8a6PCQwf0S0p2AeZIEa98pESrmwA2FBnYKmtV8IW8TXiKuqhupCQjJbRE+WxJ7nwahSoKNKW3LzQRMPKGB6TGs81OwOlHSoWepV04WWi33VUerUEDvKtm1LU4G4jDhMjVkY6Kv2xgHNlAtkInaWSkdSamZO+Ym0vHnR3lczHNzQQt9XRxFny+NqWFifLVmstCx3OBYwrtE4M7gh7E6sMd6OdUpt0iw/n5i0U3IzD2my/MUvpMkPEbmDkeJuIm4cZq2Q8NDTYDTE7abhk6OQWVpvEV8O9wxw+WbyOkAjpjDUFyeVBETQv5LPP6vtpPBlmN2bW0HAQqszPTbaa9bHVuJSSxZ6QSF42Muxr+tHfsvGA1pXu8S400tklCgkqphKhU7dYuOA1e+V02QQpRgmipQ/QzRe0CAeShsUIwkhk8AQaIr8rgipqIkMq+yZANwW0GsPEtQub6S5gl3AH1tCHGA2o4hWov1HFpgv+yPAaVrXvk67ZOJ7u/iwNClknLxFxJGCoGZ8IMna1jGvSzU/NMpvdEyA4HO4LxsgsQ0gmINMA1StHvdv4EAciECMOx1emuH7DoQ6Ka84+LYMU5N1pKfji2F4rFTY64nCIQJIiqA0obmZk11MlI9f3BpSp2QIIYPYcIRBKjalTuGB8eEJV3UA3DnziyGY5DFxAmFiaV2oUgtCxQSGsjcbSLggbqNEIRJA960LeYksbEqosQnVnLOzQgmMNxXu+MxdUSB3LtioFiTrpgDDDUQiM8iMI6pZWILIog0NZMj8SdRlV3tVxYHXdcFJQgaiPrZBFQ6ArXRp5QBZ8iRAIxK1VWIGEB5+rbZoQJEFTGI0vMgRRmoEAQ9qg0xcPBsb64oxJbC8OMOKTwHgQ5WaQjNnYj0AiLSt03Roy+7epGGbwrhUbGiM6KSSPmxZCo6thKSa4BYV48OmiJZ528AKoiWTZCtZY04xgg3IbsA+GZgTU2edRKwWkOLPbMKAiYaTjQ0cA7LhlUSk3p2W6A8tsuchw6CPAYe5WnvgHB0IgDgKdM0S9jdIy622oA0KjP7YCmnTTSY+JDogDI70gEx1DQrBWmubnGSwgJwhhQyisVHqEGaFtItAx0QWrzy1L+pLCiDv9FgpHOiZGeupm/ODiylHHvVZio0QBEij2hWAeeX4mXovGU3I3Q221LjaGECIQVnxlWyDphBK5P6UBb2Kp67It0rSiQMUxoplHI6WRRyKYzI9wocAEYXTmEJcYRAyePHQEzJnVEUT4J7JoZ6+OD+pY2YtMZPIGMF0gpalBbfwQwBF0PMMs1cKnPWAo4Smj66NIxGjZM0uQkYRBlmmIk4K5tfUTZ/JKd+ZuiF2HidgsEI+co5EyHBwTtI4LnEXY+LV3HlMFT2jMVCVQHnrdakXsu4+akXpdA/0wMdvuYiS3jTPVZwTr1pp8xJ4HgrHQZX5Iq+pisxLNS9hnvbPQyMcDoRIcTg1IsgHo4sFKcLXZ6DwwUx0zxVM5sFB43CkdzsMxPq5Rbbh3GitCaqU4I3czmBCX8NNCYbkJgwTcYfxZUeUxsKJjqsWyXTomnXY2VKAyjUGqwhABtGsARpSbVTSKyCA6O2DyBjyloyAKp2MMbDGABHv/NqFC+Gh5xPqKxooWG9cIRqVXVGWE4BUGxFtePlVdkyIw+/CC243GcaqbhaOgWJZ4GoOJIPXGjZMSza5dYtq1KOhT5jJtoLECz3wbdCw5mYO/eUCLs15bskyTepYwRgNbCHQQrKdPWWCGPIiCpEFYyGRpUaJVwXo2GgYyYw0804uMwIBMwCOcEaS+hFWzoL6BD4JKBz8d+bZXWMP2A4OR83G1PhLoEWCYFmZSdMT0Ru8WA/KCpZDM5ywinmgcX2PInIZcJhHo5nMh8yMCe/G+KrCshU5RCrOocAT2ioiolhaTZNlaFhPD7HdnXl9sBL6CDwCZEVlMSv/nB6KxktIWaHHJbeOGiVXIKnKLojaCmDrokukEYBJFWNRZ50641J9pUAYbAv1mdUoNm4FNdWfl9NFM6AlsVPwWTsNcKNiCHxYgj3answFETaa6EhQbpXQLeshAXUyalhlFEJFP7o/VNizTBEbvp1lCOKVgsGyJM7OsolKBGTyNciTVOGYE+kmJXW2Wzcxjt1AbEaA3AclUxSNYiycCI1Y0DUtY4MgBCwo3Ch1Le2SrP1KFZdHCQyrx22JJAzHu+op0NatoZlRusyRiRDRDE1pZzBLHJ/PD7kpjJQGOElofm1FtphW0xY8LzXOTJnIBAvS87GN4IxhutXM+lHaMtpf5aLH2qY8dglKXCBtyJ7juc6wF+wSVWCVXnad/QEQAJsWM5/sVWLsn2owjSZbktjA1VKvXRJ6RoR0rmGEjxTIaOBPizQWpEN+WBNGrIwBVQIPTLeazw/3QEZkaBiuJC1GzjQoL50p32bAC5tDn7Vc5vGd4QMNf4lIHEnbz9+RrggrBl4Ai9PhuD0AINp+REvFjjDDBQtPq0Aid7aJWX4K5mYrjPIYO1SllXNAxgSAwIiPQj7zYHJm/yYhzl3e9cEOAKBsihpn0WIBQExUTZDyKyIKHW2CGobp1QOYRTDseohVlrUgSctSGIJvOzoCwlx4PBFRk27WqA2AnCL411KFdRPMbTHDTCo44pGoupxBBpnP2qHSPCrE0qWrCqB5aBXbAyGMClIT1bkHCJPFbpEDEmwKN3m2MICqgPGD0NCAo7KjmnkUQZ28H0TQ4XAhoo2F1OMRh4oIVXa0K8VCM1EBo0OhYGVGFu2SxkHA1hag2lDOpCO6aZhwLnIe3+QhjSirbEzCxF/eb9ZGhVQUxsWyT68LfGvGaNQRBstQn0BSj8fBbYcl8nGyHOwWDWRhlBsBIMJZrAVtAS7RltHJX7bbB2rlRIhBu1DmgqM+97WTGpyPIdPwhthieYIRrQOGLKq3ROEVjIaywiLYjqsCKTGeb7jxK3Go5lSTjRUrTxBPyruFKMgqA+kjAajpb3cCe+Ag6zRorA0K7ZRHAFl6TgkVYok9ADMyzH2OVy9O4wBkDmJAL9oHXYg4CQIdG2BOIkb5cO6DchsAh9z3LShXWhteWILV7Bqm6WJfYNxkQoeHhIRwAABAASURBVEsMRS0GcS22rjXMAw0UEQFn8tq4W0w82me22tLUamFFBdjZFW5gVyaRi1qRMdNTRO6vscKixQxES8xKbP6GqcmVOu8l7PBhcAVkQ0o9pBqAxUJE6w7YDrDLaIItgET8k39oNYBIlu8C1SFoitVs/YjhK0ExjVjjIl1COvcTZGOdTtgumCkZmoMtkpgE3DQZ/kIVlnknjCDEaMOCjaUuUO0Kub3cKttUBUoqaCFVY909GEQAOskdmUzRG42NaxDs07lgnSVPe8yMZUpJNDgDQjqJFh6x/hREgDkdF3rURmEIjAdBFsqhEXaEgnANBf0WHsVnuf8MDQpkelIOwl0/cc54h3VenA/zb2ajgZ1+XECOAIhw68dXOlZqp+uUSiVmb0WDfAe6Qgrc4dRpZFm2NQPHsYXc51BR6Fgl2Yjr4Gi9/z1A7g0p+dCJtu8uyQabdKQBb5+qqDONI2LZDBXIq5ERsJICw+IMxWz8UkGLmAZh4riUBi2oAXvlPNdvcKxDLQ2BHve30llAb2lI5fh4d0qIVoEAbpId08QKEXatteDb9HawqA+/aEYmAL9NxIdlFYYQ0UwwUZ7qwtB4sfhZljhKNxlEHAWMZuFkP56IqRRjU6y2UAMIYtRNx2jyo9MR6MddOPZ7CHzEyYtIgZRRAHcOBUgiMh0RluzKmlYCXCIRFuHOVF+pPBBWF1bAQyEtT27TNJjEZb2BJo0L4RCCjJWRjqA2zgrNFr00ZQT0WrX5Q4rYCj1uRurDlP79QFgjEJuB1FEbC0FI2LFgRdXeCwssUARWh4CBOgcMzhOCWSDDOcMNtqz2C9Ycf9HYBcYWHgbTMIJARpjd981QdMlgUFFkfohkW5Vsi47MaJpoB6JSmX2VgVi0RphIIk2D6HHr1QVhSepJoVIA1hJZb6U0jhtkoXaWjW44REVBOJYRsKkgFNGKeZosHWH1M1dfksoo5yuBdOwncj8gOC9Tx9Qg/MtIkKz6YTKSGAS/c6DI/AhjZLVFWK0bAttC4Zn9YcfavWR+qMm6a4vNEd70QqndDBS0rbEKitX7szFjmJjOhKtRJq8axUGXPAwQS/ida4GMwNr67mDicmV3yPkve62Q4yEMNPzQkRGqTtwKmzBgPU98NRHQEahVzUxCrE3QqojSTuAJQcRaRDNkTOpEZFMpKgFVMocHUkAdzoNIvyosWEIMC4UtEqICqf/Dp0bkP8T6cQDs/Z40DiWFYU6XmY5KR9g8Sd2UvQkMnD4jmwbh9LKO1Eqpf+Gmolw1bvqdjVoqsued0OxmqUI44+SCN52pK2WyDtwTXY29WCoYmaiLxZp9RlHUIFh0a/NyucGmwcXSsLZYDSNQwIjAdiO1JOs4NjFxnQWL7skrWeGRaVVktTGynGI5/+vBvbmkuMmYJN+sskxrFaq1ZGlAoVsyCSwLbXoFMhooyGD7mlk6TLHD29vdHa6LhNBNCmyLj43jZRrrDRPEiBDBDwruSlePXmtqNAYE9MM8e3UVC6Js+Iwh6NQQ2DjFXV8NAtFiDTgzpqU2VBoy4qcddqeGhtdI7BZxCgwT1FMnGu5LRj3gESZSc9XlGKQxkYjYrEoE4GnnIAlEH4i5uaRJSmzIV+FtHOnnUAhcVrcsWXqjtdxJz6BhkRcqiaulUTBVrQ4FDYkIbNNwp4JNVWIJZGCnSK9LByIdDnh56Ezl3iIRpx28Uw0V4dR+HvWwBOx+LSN3DI+ltSjEIjgj4QYNmY5xZNKbSsJtqou7ouNhWCy/0wA372SQ274duaYEPh2ZUY0XAsspgrVUfB1OoAEHHh4DSwmPsPUSQ+fadNOQSkTDt29tyJ64IsjmKcPzmc7dxSEUFAsKGxNII8oLGFHubnAQUIx/oXma6uicXgIDpCTqGgKeUvc5zcH2MLEiNVMHVKZ2suJ4dLKdUIsX5SasUCF5QuFLtMbihU0+9FbNSaAQgEjYhRuTcROgWEJFAXcmBcscK/43l5FqbSCcE7xYMGpRntxC4Wjzda8VAFeVOhIXmECj6gjGovHcdmVPI2xn4QORqSamKvPUBcHF7Y5o7aYRqtVw0ij04wgJpJHL60MQrMtYdOMcGa3lgfPZYqwSDs5XOejjwgwvmlnaQdNpiC0Acszxw+gpue8DOwdelrlEEPBd9QsDAr37j0atEwYVk8pvNs5XNEzcVaIgFxY3IsS2ATgaxmzyBgEX6rddYiDhDCyFzkOG1l8JQDJNSIHAg7vFChlAEaias2x953MzBryzWF97uopygykkVMtbCANYBJ4BDgnIH24pIFwgNolRvI86uT5QcDh1IYNH/VhXDrBDzFku0ughHLT2YLxblCpQeh1xQdU0Ex6MWBjLH7RIBSIjUv+4gJRdl+6bapWqYiZvhJmkdE0jpO8ie6wD40Gv2KmONfLl6kZBqxFviUNoOCx7s3ASHJP6ZY1BboMynViYccQNXJvPI9HMb1ZjMBVjhEW8O7nG1Cp2zrR+XoQHEfFpBVgidoHDOgsnJmQgB1eOHobaoFHRsaFTBqOIjke5SA1PFjwgHwEaBryoqUJ9oEGRDCapMHlQIKNtphCgy9mnxqFz4YQqgh0n6hMNHpEOLJSRmIlLFGFjV2xu8niCJbs1IImsWEMDInHjMZG/Vm1c7oTOcAlLhzfdnBzbdxBkAuEre0mAfF7Jz+qIQyoQtTxCxTZFuGWxfTjBrQuEMu0yGIg+cFg/6c8KAU0GsrEjRA0uqssM5teQQY7BNMKTUyqCrDb8LdMbZR5Ks0SXWLmQYuNnWwg4bhlTX0ypRI5rQCpDZ/3SlMmk8EY5VqkvruWibiD4zOjUUFCAnX3+JrfQ3d0Bg9TaKpHcQVDN8SLEXUkihTSQvUT1CzM9Mn8VsC2j2VKIbBm22DvZx0BkxMtl4Wu290L1qWAHgxGte6t/wbJ08ZLXxYS3xTZQiAC4OosMRJanKU0SSV6cSsRigm0tibiF1ZWisryItsJ/n0mWwJpAJAVuHdizhbulmkU8E3Y1uotbF9GMskLkFQ4lvICokd4yoZUhX7jd8IS1gOP+P1GAF32yBHj3bTShSGgSOQ0QTDwRKlUsQcuyLS2uM3oXeswDLrExTQ+Jbi+rBuJsTJLZELH5QTJPuxarEy089OTKKPzoEie72Sj3iHN2U6oFRTo1sOEEQUNFtoqDoG4xD91oolUhQGo4/wuTVZM594sxsNgstkkX8kbblBd8wfGmm2eJN9iW0o1IisBTTcyusJaFG6RBqEs0CxunOS6VF5zlwjajkIlnVeGTxQ6DlKg2s+8pZ3HoktVWvttgRga0+aMAQzdNd4goV8JKzVttaVFdPFlUi/AhCFbGGnWzEhZCQWmTXzyW+HQ0hWko0zmixbbgHC9OTzT8gN/4ZFmYsQpBnkFai8+dacukUIOYvbG8zTD7tOzLkr0QZCLL7rQqIuuy6qd6ALExSHw6xIqa0uIft+Iuz2OZssyeygA8LO2EStB6THfW+nAcoCGwMDckZAiAsrdWBbZynFcNgVtQ/EO+BtRAFFUBs/2byT60jlssgGCFmoNQ9oVQCsXKQhatPtw9DA6DtPjR+WjLZjUsN9ZcAxHUOFExRWB1ypb39l6WsclEtmEuMaX/t+ZbbVjjsK2myfICDfdfKME9fFxYhxXRwgtnYWUu0H+z4YCJaDYlKUyyJWsBrmCnWtPUVhVrX7yCI1KIwZbk8YWBUF8QgS/WBd/NqzZ34bOVTaFFfpnbqi5z9aZRBSvB1zy4eCJXNsWIpPgkcvofRcEt+BD5p6/5BNkcJIOBmCRfJJkVXoCMn9oM0hkLpvn0Vk28b6YhpBaG2tzTK/9ixAqg1oU12kWkG6hhdkwY6XYJ9hsj4ONucvW95d3VD0cN9dhZ027qkRNegziiHbxu5LU5hYKkHsi+zDZHZvGsLuxSIlam+nMaG4vE/nLrbBFYBKFzlBNSIRoMjOh0Q+Am3QKniCXZHhdzTNxhGwsnjnd/d/C7LtwyZZObnMyCgBVFxx+dW8rFIBQFdMyYJKofTjMguElK7HHAsxCwXfn0SJrcErNZkag/RrkiSKovC6dMSrRCKrWNYLEFItSgbnE6wc1VWPbGXwTzGUAWxUU0m/VClvkRTDDZM7JYY82FzQMyTRTGZuBaijsM1TcEO+nYIReh+IXZDXuoh8YCyLExTY/t8GFaCHUVRsEU0Vh+rVjYLTJTqpEwERDODmQYZipoL/FRXUymbJnLozarMiMbtaYALqQWmZsypAK0e6UBIbc8CndQcbsYO5HZ6pIpCNCnwXarwoU704wJfIySoOHA8sjTUGZnmGsfYwkoSSMgbHHQgMtaIgRTgSxlmfKIHLURWJRRsSZB7obbwWJNJaYFgyV1McQHQcZqFgS5K4/UbYFiQzUNBJSqjHsLYEZyOownvtHcB7d2qPjIFMnMehGM5F4hBJbPBxXBdmNgmk4MsalS5MtaUY1hEOtfaBctQm1ZApEtfqzKW1gWrluiHNvISJKcfg1gslstC+dcgi4aM6/fw+222Djit+SFRL9Sq7rh0cLBLQzYPOhX3gtd71whzO0hHJlW19IoF1fCYmFie3HVBbNaBIGKAquNzbFLQFnDRwCIadJYkDq7miUmIjT4spdAHCHUYB8BS8bAL7ZNLmoOZcoYNG11jNk8bLaIF9kVapFgjrEr5j3ItuASgnjsd0yP07FisOpI3MpwZH6w8gnGtwJBCcIWpa/abS1tIkOjhO6dQsXIhsY+x7W2Ck4FMhqWbtU2Z7lJUqN440kaTWFeZrtxYXMS3TVAUZ15SEMsmOoGXSsM7wqhEO4KQ4ictRZ4dSrj0KYTzFoNIhox5ZvCClo6H0sWii2RQk4WD4NRBqV2r4su0iKyVD1jKQLB2uIE2TwU3kF8SBYSyRnp8fhRZD/WyA5yI7A47Lw1AHcIHc4wtiC2klzRIRL6WAtCc0hANWypFKsUUUUFiF0ULrJ1S726O8EEo9bVxaHXN01G4OgxeByzRTvyCMkuFJR2YrcAViOjN4VEZOSdLudGTNwGRNnYjWNTUbnxrD/L3IjtyowuIyEWbFwFikpn7zpSzMTCPdgua8nsJCmgWlIf0UqeaFv6TdYQGbsWcVhIuD6oUDWrMEp4mIe5oaHCtCCZ9Z4AIFvckBXM5uEk2NQWI4oV1cOlDDolzGicSmeStICne8YQALRJejELNhNVKESCk5vv3o8uNoawbWpZR15GhsSX2jI3Awx78y+jEMIRETfhcnvEEUSE5jEyU0OZAjblyUQMBDqm8Qcze0oB8hL2GlhLaJbs1rROyIp1Xdxa3RqcC3TThuSLxkVcPFfkDsekKj+YssM0WkQkghrNYecXUYIT3YB8HiNkeU3smxLZrIgCg1hCtCVQoGWhRdSUIiIZpYQSeu9Nk2TWa5gEgInkBhTNEPlF9Dhh8agjRlnIrIg1RBzBUj93YCI1VqcrQqgVJ64PS6/di8BaxlbBSwIm3rIGgSfIAAAQAElEQVSl1Ssmho093mwwI7Jow2OmEzYxgurVmQdwBxfhbyHsoWzymOhMoiq3iUzk9V1yMCGTYc+8tMa2QYJjTwBRMbHFplURQ+QLjixOtQBBYayDe8TAsyeQOnNLrzZRYLOC+lltgcDekQuhACsbS1lW/MUNGxRcGOnLZZomVVKbUxGMflDCY6gqnVGqAI5Kr7AIVkeppu6Gbq1WSK7Vd+1mU8mi8lYqr4pA1H4Lx6XuNbCFLZgEObzBTANSo97NxikSpQj8jmDO1wYxezeFsZk7tqVGtZC65yRSZWjMZIbEBhLUvhDk3BGZvV6mDGZGEvYOC4S+Cvb2kSjos/gITSKuec53vFaFkU9tAzQOiGhEYARYMnI4fWLblGoxqJrYAQT2Ce8jAGOtioskt5LdfaUOR3svS8C94SrPATG/tTUaDiIt391hV+Jp8qVH3Qi5P7XuwD9dIguOIAjJ3lAtaR4M5Ic5CdT7r2meUbWHtqEkpoNjA0JBjtwfIxKoI2IkcrUyZuHGV5eW1GhahgEhYw+TpplNEJ7AlgdCFN7htNwTtCcHJ8JxmYMaFgEnSJniDxPK5FLBFDxeombpgLLoHPksIggEYyQ9hNhkbJDwdgvIEtt+ZUDA9ZBRuaZYlSsugJAkb9aOk3yi4YIgKlYbK3AplIfYw4rTmE3Pja7s+prIrht5I7jCja1oEJ5IRHYBRABpFIuGazsLlxow8mqEjRUDSzOLNikgwwji3nPIakRegzKtAzZ+z44jKvFKkBrQpIyILMlSH0diqUQnD67m0TEs8HHgJHCX2T2R3F1HKSKUSw4pqIZNdPUSZBJBKhAy4suCONJ2bbIuTDalEo4F7nSxIoE4ngDiDY2AVIasZuuG7xjankAEQd3oKoVot6N1CzAcNZKmUcPMQD6C5HJIMzlKdy8uMVsdcTGpjZluQgzIPQPFiTKIhYluchoKawg1gtAtEYotDBNKwKrFMiZEtbFdKiECpQ5k4BmrERJcGAtFt0YByN3YWiNPw9hZQZCW2ymNVCaOKiLQcYeEIMmy1TYFAouPpchderFUqH/U82OULFN4ZqyLaLf9rovwF0ZI9GaD3a0LlvJR+fUs9oKHkSsQWbxALVXohBDuAxF6VhaCLCLggMD6uHCcWjEeYqqptMjOeRGQlWHgcoDz6Q2+8FkbHRIL2yXWWjW9ywhYgXROVP001PNmwIJ9h71gDkLIKFJzR1soN4Mi29mKgFcUBavN1NG5embgFFVB07xO0SIUQTPgGg6iaUwq3x3EXiwfcXT8sFIVzvTxZ6DUVjm/MClLbWSgvGoQcN5iTTUQE6QGELFEAA0CX2QIiwiAOB5U8ovDgQVopJJBJFHZoniL1guCFSl3nMhjCqCNiEAMNATqQaAjMw6VWBVFVexzHYyV+aBNPDUSZJYHgD0l9KHuWWM2Uw3wxDNHrWYold2jaPi1FEVscTYCjqapzdVJIY0gWrrNE1lzlMKE0fP0FOyKwDYbQrpZwGC4iZW1c1B89wIFEMUwBS7TzT3MZu/xIUA1DcIKu3AwxRJ9i4BB6mEd0DiCtkNKbgJLQ4r5pA6EX3W1UDYeHiMdsKbm6OYRGiSd8HVlFIvlSUUhujG0TFsw6EyMFgbsMUy3cklGUBsCNPJW4SEsY3OfR3ghNdEEQBZLY5vpSJXhGFpEY6ArYGhl14QYHpYS7jo1iDeIW4NZbIMPH8WAUKegGUR5dVVsSKV7mjSTjTB5JBC1rYJkIJCiEYqUaS8XkbSLUT9VwaoA2CwRzFgbfWrjvoMckfpVj7pgb88pFCSYiMoNATc03BjpoGRITBRkBBtj0lyQScdo104gb4wES/HlUbALiasjdLNRnfukTMnAotk3QVquzvObO2GHQ+V0PuZUeARGqGdEYAsIjsAWxNUq4E6yiYDp9McuR/2isQEo4xAeCxCODG4jArR7WiVNjnqzISHvVkwN7KtYcF1WyaWhQyx0VtKzi0bHZFxw5UOAQiDcFUSplhpTqmUQLEwc8yEOj0PTNK5u64WYpoBbFT5dE2QZ42RyPTAzIRIHQRhJHNlgSGcSgCTzIxozOAcdFAIykhhIfRiKh9lYbt1GOV1M6pB6wWseNlA0orlrgxLxNmIZXT9bWxQH1zwGdpIgud3IWQguzFE22YjIKDEzEFDGuRTy0KGlEKLu5sweNUYk4WOQegXfE0kEYz+CkQmtHSX1kFstUhBqSDCBBmx2PQIIpoxlVUWjV9+pnwuaPAu4naBAbLg6aVqJsw8BC2wxFLRnS25IUIV/WUIABqGrDdQahekGdJksWwJamrfT1IpaLOEvUq7EoPFNRGPXDLRsy+hMjBqZtSSAEJMbMlNsCxehcbr0oVKDkaM2Dmqz9n66VYQI2FgTVLrD7SgPmShIQxKB8WykA0XmZ7m0ZCbEosttt7HkmpuCGUsRvpc2d5Cl7m+PploDgdgElHtVRFS1uiJVMsdk3q/ty2JPNc0CAZCREmqd7pA8qHcLmxU2m2js8x1fXq4npVmkpJjItoQitJtAKFGVaVgQUYbo8hwQfABvVj5rWEBjVlQTQlnSxsOUpzkOCRQOIOzTDTRSt2gEFoV/w4gENfcZmXc7Cz0maA0nQVLE1mBitYd8RpFMQ2cwadmaOrFCCOitCDd1ZiAmeOpy0JJxralPysNCd8AbgZRIY8XMDFihYOeJiUBHxK6GF5tGFEmUpWkEAiFsRAjc6WCTcoaUBshSBU31dEEUYDaQESarg3lG1NM5GaJzt/CAeTsQvOkiInZhFWqTogYOLvAFwuXiDNvDJvYXV5GI/0IE2AgqWHeEjEvHukuE7TXl/DZWFUR4lGa8EiR8YsdFJC24C+oRubZ2P8/8W38/2vRcGa+7I0KKPNz7es1169G16qOda/Y1IV2S7dWtCptKIe3WsizJnlGUJ8iSqsOceRcvMIJujRVqzHViJWyRaOWpGZEV2h0n1RoJIr6UU6AhWxCgMlXgkgYpUjqsqiJOTWzIGxZcyNyu0wh8E4iRsNeajSQIzkqpJ1ppqAKDWo1nOJQEOl/6O2+CJAOWy/YgBwuSiJcWVkF3jbwVI7HjgolfxzMFnF6ALWn0wW3iFOTJNOM6HYFrWBFf+jBQibLV4rvOVJgQWDhX4lWrb4E+wWF8V7US2BYAOBWoBjzEoePLsUBk9cgnQ8tCHz5+qORHgNDNuJkwkyjpO0+9TqwRDOtk2aWSpXdfgwStAtmZMs6ZTT5jWRSAufeKUGLbT3SdhosCqEM7IDflCJqljh/BySZksEoArBNFuIeFA7Y3Z5+EkUX0v9cJ8WySWshYBJmHgJkgspFhirBMaOhG6xHijRdh0NtVIIaHJCrAxMKr3G0X9zAEkbDW1zRktVHc+aWIgSAsHgTnSU1oA8IDNDZTNKXCpZOIyDcCKLrY7a5GoDMPTeSlJKJN76epXE1LOAbUkGKec7bDBJpIw6AookFxYTEgM1EguMzPCQhWC2mYJq+whfKBMLK0hFt35Y9GJHatwM2raQ03dLTkaLepCP46FVVipe5nlF0MoSAQCy/cGJElahDVv2FyuM/0qzZ/uN4c6/mUOBRJFEase6ljQ0Cb7n313usa7zhbm84Z3G1W1IpyVC1yjuyQehMHa71S2omwSCFCQYawtfFlfNypcNexcbDhSCj40DhUhC1TZNXa2AyJwWfAk4XHNugoqs4AcNOxRWqJYBQIAYGA7J4nDLkFhdrKUpsb04lRUi6OTEMrFaxxmOgNgoV4ULCGlDdfpRFUkEiAYlOBwsqGjIBBKYMBEyoCOgKdqHVXLbm9lwCA6dQAkQ5SuRI+09PUA1D7MYaUZXITQ8AJCbeBuveRqJwRHpJdRyN193A9vaGwwCWUOxVpDLWBjEfn6o8fgnIPGYW9AUwm0UZm5oq0ZOFJNEbSlzKKzV/NIBVg4jpLUEi9Le4IO4gzoRoVKzxSGRgKFnXqk96mWQkQZlgnUFUe/PGiK90THmQyuSzE8qE11ExmLNyHSskr0sEiUAUVjOwSUdrrAqwgdIB9g8UmqKGIP1ArvV2bMjmJIoiQ6g2v3jMh0EHD7ZJtQUK2EMxzZoQ0s+ukacMnMAoW+pimxENlJeTEEwa2Mw5PgFmcLB8fgEZigtORp0Gq8SmH2SBs6VkaCbGyT7prya6YEG+1Pl5RsPBNtdoagTnA6W4wE74LZQoWuQ3hFhhsOgMM8Aq4r3pTCGJoY6hJ4FRxRORk3XLqcQ0ImnZLpZrKwiunVCSxBPvOpNOOdWSYJA4rmF6sXsyWFtP0BhmBWs48EX3kVGG3jAORVBKutbKI+TOzbdn8txFo3QFDEp8ZPMqWGfu/sjCbiCwaNw5NttWByczl2cbXiJJwUFsxZvMZ5eliIs1NYPatSRW4JcIbUcsIoOj0nhYFgoEz4rllGmuge4kOKASbf7TbXgtFgyOLcPguySwHtEVGtvkvqQZdMnaFX8tUboux9XQvMEdVEm/+DPLE2k9cHt1bjy6Xh5fLo8u9h+vy4HJ5sC73V5GHaxBfHrTfYwR5oFF1ue9Vpi+vad3Xel2X173uG/wC85EbZwirYc24UJGHg3ohC8wi69591/o6qRthYbp/uffg3vTLE5Up5t69+0888eDeEw8vT1At/eHl3qNVdeoveL1377ruXX1hY/kX19w9d+Fshc4nAQvAKKLtJbFlXIduDscDJrbNYeCERUNOpwniNpww2wzClMi0XgugBkEvxsQJxPBrqOpLJqGXJfOzZa8emNHwNWolIS8sXAH+kgUCgMcK5SD2yE/eWyD8ostatiZFnW55AWcrcJNkerQ9AmzxzP+uFY4lUdmkQELtMnwxJJ5lLaTmFSprk2lcw7C7suTVd4ndIERxRpQ18+IzCmEZcyAD4mtKXZjMvb1gc2UJicXCkmR5dZNkJJMiR49rW5EXEqcqEXCLhp7ZK+GEUF3m58q/ImAaHD9BZqdFQ+MrneTRI4lyqwk5pkVem1XXd7ktXmqzECzYrIT9qigolGomu8KlJITFvCagLMCLu2JcBCgW4MfWZXvBl1j/QmvlC875srB8WWgyCD163CpyoLxGgjU9H0LVbCEUqBDJonXog44meatxERTRIpy8PCBE65aXveLDU2MfsTnqrziUSKhuoWYU0HSELBMeghezJAOYsJxxpclpGyuPJGSsshbHJcmW2Qk620IJhJJXBYOrjZndNE3lioMGmsiixc282BcXNk0YW79anmelYp9qBgGILSZ4LcxrNcYq0YUp3sue02eCJjjs2aBCoIcQNkM6WLK8tmlLtiT3Z62LFw2loKlzsTpMkSvI+KfsmNEWJ1YBs2J7ssv8iMYhsNJRjJfYDFBYXR8kow3OgoGIoGv2Iz96eHn08Kn98Jnr6888fK39/mvPPHjtqYevPv3wtacfvlrkwWuMTz94jV4c4eHrmKa/8vTD9mcevPLMA8ivPvXg1afuv9L+4BXkckAevPr0GR++llzY2wAAEABJREFU+vTD1yZImcjPPnr1mftfePr+K8/ef+WZ+68+Pf2ph688SQ24PGwQ+IPg8tqTExbr048a58mHgK8+9RD+K09S1fXBM48ePbUf3cte172yu24Wm9kZdT+4AOkdA+o+zwQma0Fm8xhRZKwjMtjCzPmpErzFQZcaSTi72x2ZxoCwli6rJpBbx9BrwkGrp61gNjlk0RgMREwBbowDRnz2RjOMmmAh8cHHFatkfjj6kVlCJOKo/0RoulqJIdwXT9BNceyMMMOdjoh11WjXrgXJLFKL4aIl0kFd9kK+SPAsWmR5umakXsmG2EmWCGXZPIytrZNttWWqrSTgwbBMMhSsoCwWwQYQdCZU8U1nSSg6jV1ib5TSBmUvG+cmw4VnJsu0ZSlIC3lqDkADWHCEZfoS69WxdR9lfoBsKI99PU2CbJmOKKIvGBUfP9TEBxA1MY1zQ67H0YWrxRiKm6qaE6eAijbTGRiDlZJjZOHFY+4WKgBd1CNfgGHKlhePzQJ9J8jTIBBm8aDKuIjiJaEaLzFwkOixLC4FQSRbh4bNy66tYDdeNMLKnS3TIioWjX8OgagaWMiLc3cGTZysrDZ+q4/kGdktYsy2DC1oZfVhj4yu7roPcLGXliy3YxW6rdEjqzXbAJXtxQvWtFZyQcNQ/1j2qqQal9lxSdatsVSgk9fGT8JG1zSnE0E64Toq1thyfVdrZmkSVoYdDALd3Z1loGrDdb/3ajk4hrfYIhpdpnSdBlSkSn0xiThEkYgpVwMggruT4Xea8JGIeqUCiyUYG+zFDF97Cy2y1RYUmOgEavWyvO2NERPjscaI4BwEntUa0B5HfFKz5DZidpJQixMWYrQIJfHXHp2GajfJheob0qTm4lwsEMMU2jajjPOw+EVQMMmyrZTpJRLweJm3pWpatpX5iigiIEuDiDpaVepCaDYs5LivfPQzr/zAh3/uj/2pD7/1O374a/7EB/7gH/+LX/MnKnzNt3+A/oe+/QNf+z984Gu//Yff+h0feOt3/MjXfscHvq79h77uO374a7/zR772u37krd/5I1//rh/9+u/60be9i/5jz7+b/qPPv5v+wbd/94eeb//xr/+eDz3/J3/8bd9N/9Db3v2ht30PQsG31fqhoX3w+e/+4NuhffePv/3dH3z+ez709u/58Xd8z4fe8Sc/+I4/OcJ3f/B58Hf92Nu+i/jIP/b8u37sHd/1o29/V4W3veuDX/+uD77tXT/6tnf/2Cnmrd/5o2/9zv/z7e/+sW//3/7KD//VX/r1z3zhfsx/70p2t5INYF+kLbEpkcUmCXXpNLOnvnhzpfgybO3Vb+QxmyxG0yB6DquCASVrGl+MqhJrDXJxJDzosS+oHMJyU0hCJeQhW1Wt9EIboy+SZRDKWLGkkRkXyoWXbmo1lcRwEGwsoJvIO5VZxQjbRuV2xPay+bM0H1us5GP1yDVL8oUKbbQsbXF3uoS64wVTVBi15si+EMFFGnMblwqWwBkYrW1pXUS0pXiWxztzZSGrzaU55AwxxUM5/T855cgG2bCWHCaL+jYhHYuVU25o9oK0dSXFtbxaibTUhtUyEmr9Qip0X4iZ+DbyybIoE54JAY40nQLHsEXNvngCm4tRazrI7oFYMKIcUyuy+ME/MmOtFlVIicROi2AXuySzI/2XLkpNwgqHqjStVmmBVm11rBuQl4REFPNfcXElKZovanPzANZNWTjblh15qZGowkbWLgX61CUVxM5kU15ck++aaLUyBQO/D5HoqcZMbwpNzCso19eWGuqqkM8uxLkvOO2SEC8EMKKInovYSclarA4DNaJwWKL1Bm1U8rRkwjGRyW0qVVh57K3eGYtwbhihqi9l6AMauG5Ld60aNCLg4G1LpgrZPlVdAARuCy8yRBU4DoJakgXIZYQQ25cFYZsaUZi0a8ZVgAJwxl8XnF0jc/GwB+0EkacGgm6xczxU78tahHEDEkPS1lhErrBZqNWDRS3vSiQcMBcR5cjsTGQPcBsiAF9zfZiH9+/d//yTr/zsZ3/pz/zUn3vnD/7xr/ved771e7/x6773m976nm/6uvfS3/nW973z677vnW99zzu/7j3vfOt73/n1733n2973zrd//7c+//5vfv793/KO937rN7z3j9Lf8Z4/2v6+b33+PX/k+fd98/Pv+xb629//LXRob3//t779L3xrx/eBD+H7v+Vt7/+W59//bc+/51ue/75vfsd7v+0d7/u2b3jPt37D+4j5Lc+/95vf9r4/Qi76297XjF//PlL/kbe975u//r3tb3tP6/k6inzPO7/2+77pa7/3G//Q937TH/q+P/w13/sNf/DPv4Py3v3hP/2XP/rXXsyn7997kLV5fbFo5ezDZpPc1k3LAdmUsKURzdBsb06WI7TZrvQWrvI5I2sQd/+tDSHBVw27eFmlJ2B2WDCWjQ5NtOZCA+ZQPQ1UMkHQuEnE1sX1Vf20IyA3vbgsQpGEGoqxxQ1ptOVFl9TbU1AUs+KlbQmTVddFDMFE5pPti5dFnBKUxsF+kQ1booC5gDKSa43wtbSFkLW0uzgjqI1SPTPL5KKzKSJSgCjm2uo39mu8gEUq1a5pJQucVwojNN6ANrPgIB8QqwRQ3NOI7AKNubUQZdEWjxCrLBYpsWDZ6tataPHHuKUYP6VGse10ZCCWdb0s2eaR+ZMEe2X4kuzZCwZHFi0Y2SKqzHCSSSiYpN4RRrVh3Z2xNCnlcr7GagMTpZPQG4Hfd5ApQi7irNheNgQJX6yakw0ZFusDlW2mjWotrMtC8GbWErJiqsTDdgi8G7UyzyrltgnDleRlW9sSgvp9iSAVSQF2MU2twJb4ciKbPEKRFlOzsDMSMm7unCUa5eHT33GRon7JJ86yuMNbWKlMNEgLzSvCJHy3zGhssnEVUzXkS2mARay1vbl3C4PaLhY/i2VXg0pIwbYPY6vhAVmvS9G4QpRYL6SlmN2Il22powXCtzKD1QrBBqq/UQi3ukC3FcylkiU6W1cVeZloa8fUvIzJx5GMG0k83lrYcVfKoNyWZsPWFzXSVcvA3fygVjlVZX5DHifTWgMEeuS1NXY0imbzgsTDoXA6hdztWx20NJMKp9uCNEiEi6sRjaIpgg5Ncx9E5fIw4XQ9AmLBNqj7KjIGiZSgRCPcAAwsyyklWNFNyPAg3jq+7mG0PpElPMqgaouEItbJZBGHSIgi4V2fmaJEcmSsthYT+yOApZdfv//Xf+mj7/pzP/kt/+OP/fBf/fVffen62QfPfGE/96re/Gqee9VvflVves3PveI3vQriN30hz30hz6K2602v6E2vBtObXslzr+yaPn/F/RnGz1+f/fymP/Mbj5763KOnfuPa8XMPn0D+/KOnq16fxoT8uevTn3v09G88fOo3HjIWRP7c9ZnPPXz65QdPMYK//PCpzz/E+tTnr09/Ps+0hisZn/nC9Wn6K4AjIH/h+syr16df2c/QXw3jsy8/fPIjLz78wE/+2n//p3/if/r+v/53P/LSFx72NrKD4VjdzyW70XugbjB7ydaOlb3rPcOqgLFziBDREMJDJwgjfTdaaZZt9rcPuPpJS4/HLsT1xyhE7oUyB7tPZvXDk4C3a3eM9oafMjfkaKc15vGIlW4+Wo1pWxxwJITyO6GFMqCJ+klWZuBJF1ngGYN6PaJ55YgLupCDVXjBIhT3FoGO12OVjCzwsYnArbwVWxi4pQ0CnIZO+tsIAyEoARUZMuvaIXXUkhCUbTXSbgmCuHiU5lXQY9USbV4xOUUGsDAWiiZWRP7mGSpWLO01EbwiwZZpkj1LDkbATpR0FMuWqGcziMbKqG82sHGA4ZMLMKTZdaMuOhInSw17p+cEdYOJimHG4oelETARC/cWdVjg4jeNqxEYI4i7z1CxBlCgNpeCGWvYwTJCbFbQNbsUxcDCgVvV5GwLxqhVydFYBY2gSgUcAPuPPrgJrtlKasMJSbTszXotUbP4eqlpDkhJo9Uj2cTjLx3kTsLXoJa1qXujbqpOKpF4hFpJi0pvNAAWvokbe/PTIk1oidMXWlSrunBBHYTdE56nDMC07KFtMLwJZhga39Q3xkIA/NtJ4a2Jw/eXmniI1H/QqjSHMVtENqnouEEwayPdrjW1VtAmForIRFhlz2Jm5Zl2FROMEmP+U4togECNouaFXtWeG06uWgBJl1AEHvTiAyJLvuAiyfyItvo7KwaEh46vZToy3UKxyWC+1+zrk9cXri9+8Fc+/G0/+J1//APv+r9/9f/5h6985IW89EI+/UI+9Yn90ieQGa+ffFGffMGfenF9+kV/6gV96gVjeuETeukFvfjCevEFv/iCRkXwSy8sCJ98Aas/CecTevHj+8WP7Rc/vl/4eF74mBhf+jhgXvwEXZ/4BNFc5GP5xMf90seC/NIL/uQL66UX10svrE+O/MkX16emf/Kl9cmXLi+9dO+lly6feml9quPl0y/d+8ynLp/+9BOf/cyTL3/qyc9+dH/ip1/82//zX/2z3/ADf+zP/PT3/eLLv/zq5dX53wGwl+IIdjdoRzR2ReF7BIgxeb7xcY6JzIHx7uhx12Fxoc7mY4OK24pdZxElWtE5aTR2GRChCFOJWMkiRwbhsBLkRIVy+6xgEZVh1QSc+yA4fZ3Jw+0kXidq2713N2cy8C+ZooYpUR1W1SoqGkyQ5B0UPrO9e9eQcUe8F4yF65w2M1xZcB22NlGMCFBqGnMEdo0ZuAtBgkTNZltgT64wJktYyMuas8dkYiimJdigEWWJVEIGhoXAeKwIWNVFKWe8I1Md1otZbSgIGo6siFEsKczkxQI2yYtQjHNrYiYIBWDpiNfml1qL2REFFDQC8WfcVEDAEkintogwGDlVRnVXeYwJCyVLoUA1gnoctVzMiENwhRXiJXZBiRRxXdTTZwsFpU9gq2lbVTHBAxQpWKgIuBi6IipQduN1vRve1j5/ji1bWFh7cA5ULHS2ZSsakA9Bz4lExN4FsXJVACuAc38IAhvrI/wIB5UyEMIedpdIRT0AakJii9Zg2qyV1WElgrtiLOxOdqGyI280qkHAKFbOAk2SPv2YZOAOpLCwIgOSgU8lnlbBU/NkB8OoRk5HhuHgf0xh4Xw6stmxVsHmsF46jEbAu0S0aBqmfQdupLNsx0dQ+AMKy4DbLwZdEaLMUnfYLBFmh91gC1ozq5PcgGJ7pjZlJqybvUo0VMIjFrCxi7bQ6FTUkQxgEylE5SlSahpQWLBT8VTRGlABj1Xao5JM+JQ2BgY4JHerFKkpU50naEGwJrNoCIyILLF+SOjN3R1signFdtMrQpLKalW6NSKqkcfQgbCbAJLIikBVVIgGchMCr3FMIEho2KaHM01mizAgILZLCzt0lewmpCImEgySe+tXPv7p7/vRv/PnfuQXfvnjD/Tsl12eenPuPZ3LE/TttfmT2zJC+mWSL1GOvHWhg0SrJvuq4oHPSRY0GSPvqmOale7h3H4AABAASURBVIAMvuQVW3N8gG6d0JQFTseRcQUvvhwc8HDW+MoRHMesfKXRLptoLig38u4IoVYtkIsuT6ynnttPfOnP/dor/8sP/q3v/0u/8E8+9blgUqReMbYMiUVJ9QC2GmyFEVHsZIoYut5oYFXcActN5Rh6JoNOTFKg9DPT7ZdMvqGj0gtgV/2MUdxXZNHKJCp9DKxqRNbOvHXi4GK+BtLx6F2KXX9CUzeYIM8jqAiWNg9aaUyFAcJTTewNIh2EjiBc5kG2Gai/vZF37zsCHQNZKUz9fFPe2QhPnqkKkkjHcY0VmirAl9TACW80sXC1kT1mABAPmXipNRpxdhhIhz95sbK09iqliMgq7GUXFJFxEe02Id31gwxNNnOzSvgKhToJiaCwDEQ6p+DBOV8t8TnRXcPqCRiq76MGwTesQFjoeLGCYNV5owgXHOdosAtTMqAtiVxqgzITNqyIWG9CIxNEIHgMmO5kH9xaLDjbwvhFvTcTFW9SNmAYYKEhUSdBQEphYjPV5YqoMBgPFR4CBPfpHWCGUB5Q69rsHRz2hAqVDuWwUsFqL3/knfrwqA6UUeuAeMsdsNQztbAZRw5o1ykRfbNo9UHDYBosfLP5BaPMfWDzSSHPD3GMwyyqwp0sKGaAhBuKDIeYFVt0yz3pwHfqC98yBIIQl8zI4iUJF8+U5MZE6f3vhDp7NH6lL8PuemshBE6B2GcKOUT2Hhq4ZVMARO4WkokGLGEIg4iZDp0bJIJSgCJxRIkGQlFInEv209e/9bGf/V9/8nv/wt/6wD95+PF86coz3k/u673rvlw3/x709apHj3S9jnDVdZu+MV29r+t6XYx0hEf7svEqomsW4Ok3fBPtAm3juFdg7rXbKeOyr5dH147XBlnJJaj73q46hFy27oHv3LtmbRyvK3sV2evaftnUFsgrxbkHl+RJ5Tm//MQrH/61n3r3h//M+3/2Rz76ysev92KL1hMI2zG3Bb3HzdbcpBrYTHZqyEIQWMASzsVoQpnuM07cnWNpqIyckKIqGYOPSsgZRAWS6mmOSo1kEUMTkrGQp3H0XIAyApUHax7TiIQJSDqXY9Yj7MFbqrFQTvRMqJqwEqXrA4I2imqvk2swloxABIeXgC1aasBFCFCKsfE18AyoWnkarvWr9TDYJaPIdiMrVQjCLECdxipJmTiDz2BP2jTpODS4y2cLmSAhACCcnQSE2BHPTk0QeVJWT1pDpNqD7DRJ7emKsN8BCZHpgdynhcNrlYOaaipQsmilDDICg+q/SYFxOtgQcDL5J5YZeVRaTBOnViLg+OYUKuGBtySDmGIFhQewgjIhSqegA6IUFh6lnKcgQWCIFh3GnZhobxR62EnWiETk+pYKG1wEwZNCGOlce8ZTk20ZKlXUlYBoSLgIEpa61YpGJ0utfYgcDIB14TGZMYxfGpUnKthoI6gBORMmmSYRXtM8I0PvFLHRw5TYkO5qRqlvwCxwFBiTcoYUu1V1ZMxzw4kl2BLfMZpCKpUBq81vqKNGbcRGPYWSi35QIrMDrbkMKIXrwgNKD6Bjk6I1D+1UlnLF73L71HEDcDiWCsU8zsPBALkG5U4AY00lIgG6WUflWxFKHYNOp1ZGOBU6TaQR8B1FOp9FQKiKbMSxuq1SyA3Y3kdcuRRX6fMYPTxFbzPO1frghI0RpXt6GOlmglAbm6U19kAkbMjIam5WEp7TQ8ef9MI3pYZ6A6wZ5Mvl5//RC3/2h/723/7Vz91fb9KTT22+AbihcSQT/S7UAcXu8aCYmwopE7ovU/LATbpDmxWm3wmDQLIh1jICVwiHTB18HcJRdSpgvoLCMTYmUEboraORDwyWCWowBBZMAMZMOlGZ6tFBApfCP8aouwKyfO/J+372J3/2hfd86Oc+8sJnzL/fINK5S4LXUkQzDVViHsytTDTnJgKHB4iOQGU3C/qwARHFRNc2f72oUIyHxTA2b8N0eymyYjlkQcOepjvR6kASQIkPpywbie4uPLIkEzCiVWESSHVUuqYhFJLMT3s164tagYDQDzrlMSwe9XQOfMbHLNzoBYH4Z2olyW55oiW9rIETrEyW6L0HFr+oCJ5eEFJjrMlsG2uudoJYpm1WyUEj1WJ2w8JOZLrY8WDSF7VeJWDpMV5HQa1DGKY/BrFMJyx56KnEPB4bhS4x0MMvF4qkAGHmoRdeRVhB14ed4LPG2T4UWO0utZFIQUejqwDB8njmzQtz8bH5YhhqqtcqncgACNR68vJZ6fqw4i9gfCgMjCUTHkEwS4PDJtllVO5DtLmMxpLWx9bfzohYMGDXhk8QT8Cw3EnV4EOj7ngTjFSM8SmxvKrxxBwqIZhBCD6daE1KrN0MNU5wEaU3yvXoYy8ckl2E0JFL7MiMH2N2VeIEhQhGdUgRhBtlgjR4jShf3GGOI9SA4wlCeXiHp10jwAqPiNP9RdYYi1XgLTmYaI2yRFGWeGGtELBG24sHs2U6qdD515ckVH1xOy5QAVm7ZCIRBJ/KElXc5AkldWKsQXgsfgXMxSCFJaAOaz988tGHfvHD3/c3fvCXPvurD5657icl/rpuQtuUd2MLxa6HzN5sPhTJTuZJsu9aVBRKmCtPplBaQHCeKB2IRgchKn0HrXjaEOovmYVT65ZaPJI4YmKG/wxDJaLB1zyMAsMF9It6kwt3LsKTeXl97oP/4Cf+/N/8gV95+R/zz600JA8LhoYwQVj9GDgqoAZnkvmbvWYV2KmBgolaYl1ZrLjWzZ7Oi1IEq3e4ZSFLy2bGfXUiKRbZdwLhwAEk89MxkOlS9SMQ5A1hfDVtk41r0LGVFBvrKQQ1s3dEPogNm0h0hTwJCJ4wLUrBTGHTWeRuATyGkbSGoEkzBJlH09y2Qx2FEAhOQGzotU1VqAckt0IUVw01VGB/TBN444w4sk4L0+OwRMCXQgErY6gEVpd08OoIeuJjWiiQw5TausScXDW5mMWYLEa1jb4rBToPAfruw2/zFDhbehymogHrwuN5SQ4CvcBNbjTUgslkIXI1GQ0LIx0hB0i2MwRBOSYE3SRAtcG48cdixhMgXFF2nXdpl7xDAdh4a9WLFdZR3TQXmIeDlx3+Rg5ehDvQSYJTI5FkZCEQLzkgKwGh5zEiTAAiy2MruiPch6YTqKNj96WISeRXK4dMkukjSliD3hSiZQpAaLctOleao5SBko4jUgAL8cgIGEES9sDICVERzlKQOV/ilF2LGlbqsZomGmTQJfXrQGQggkxkPFoWxICqtnSYh6yqVZxrnTqLFWnfLb43rcCgDhM+jxcCTY+VBnAHSHWP3AUVipAtrg+xOM3JGRs2i8Z6qmGkXNsI5OJN2ABBEx6Sdm+8EXjMuVgr6TLR8eQ74DmoiLYLijhBgE0sohjEJhQM9giEUTdQtOMrIgOqTpYIAdNGFHlVUyOTVGy6aNgXvlhdX42TD1u+qZBkGkfFfAkiDoh4LhYCz4D1TWUseAo3tCazL/wXrc/+qff/tX/6OV3vPZt1T8YmNylLYQMiX1DxApVNB8J7wrBJVGxJ1loshBNwJCQmPpWMXbbcNoYladuPGUGSByRq8xCxiY+GpUsBECyXTI5I1dx1iXhSI5qvFNZpG8FD6/VBgRpIMXdOYpTidb339N/76Cs/8Jd+6cXPvRIuPPGbl8sGV4KnaQO2CEJ25Uz4C5GJ6BwtPFDiHycQVGqHgCxqk/gEkEEkNk7HQxTIuVHsxav/493xh95QyKYxoRHvjATQsqgXaNs1izblNAGJUE2LNpzAAOsCPAZhalWNRGawjWGLYbhiBxR+qKwgQaDRgSA7fNVXkHiGEpuTrSY5i/ASAjUymbBM9AC4DZmpLkwo5SpmIoZo7LizQARAJTElLcHA6FZiVqR+ZgE5VGy8eWBuCfJQSkUjgkoSjXShCHzDV6GxiD0KLklVhHKO0hxXYMKSojghhDapzClZ1MzDHIJCEUyuPvCUb3Y9ioXJbNKSxFIGETqa2naHKUCy1eaqDNalknhlUdbauKcBAbkDmnBkVR/Ckzw2IcLDUUTLgqs0HVZe91huHYPZLALjzoIYp+MEhlWiBImiymskZtLgH5kfLkdqFmNdHazJNsbpAnVzG4lcm4OVB3BYjExTjRS6XAGNINBjWgP3wZICcsuQ1oZhliNq2O6Bhr2GmhhSUwgNVj9llMHZoLAiaDYmiJGLjQcysaVWtScJCFwQ1f0MtareDuZ6W3XjISVWRpjcB5khUC0VXOM2kQC1dC2hIOllc9AwuyzOif+e0+pJwRT+xaAYazQtCYrqSzy0jKHFjsDLpsh4AC7AVYdTM5p4ahBtDOLgoC9RM9h04tomyX7y+pf+/l/5oZ/70Iv57H5a6q8FViqti5Z9+mWtC5K1BMIxc6HSY9mhcX9nbl6enkXSMglCMQNJMp0i0/MZmVCi1c5UeyfJVn+E3RjT5cYLw7bdieXFYln7pGnYYYGKBnmkEKhc1snEsogVdiH3n7j+3U/+/ff+zA994rWXWFTJxIPt4C4gZKYsa5tFqPtMikVom1snKunvUM4U6YIK9YKIJOItWavqGUGOoPAj2e5xTDriE5ltm9zYk7Fy+RXLorHBjCWkA5i7j2CP+2CCvvjIqOY+FbxEOUbEXLCuRm70FumazKGCKUuSzYrDR7BmLasNkAkU8yrm1W0BM74r2C12mXmKZLZ4lS3ytRcUoFSJhRz5CCZZr5Td/RDNttT9HZkdaIJBcD8dCwIxGek2HkIVM2FlQDZUIqN3MwDUxm4DTky4II6PSXVClEldv/q7vneIWZNg40UY0nR90rZrAcVWJwWZSMCSIoJ0gbBJCWIQyS4NWeZ1d6ti3MHgBgo3IeFj1nTIFuHY7lotB081CHMwSWTkgwEJBzQRuBMLghauw9bxs7RIu3AAgU2NDQjaazBlkFANGz73gJ4SAcwjoXkzKbt6P4lqNAwmLDdvcPKKnSpFNHzNwpEkyxYRJhnJh2asFjcRJr4QHDCLny6gORU02cL5wsCEXKtm9Vgs14BvaqU6VCOLaOm28KJS+GnHTV2PiQ4p+JqLzSQtL5bpWUT5liW/cf8dE/1EDqsosSlTFxNQ1cbJcKupcQSheWutSFR2ktEBIhAksw94grCjkG5WNzT+qHBJiMBvmiHbKCQ5nbsiu2HC7oKZg+QDXs4S/0SbSCIKHDcp7NJ8Z9hukYTe8gaVY15/5iPVMuFKWAXOn6MaCDO/TJCUO98yWgostVnGOG5LBCU5E4KEQdMupjGIyEhqo4AsLzi+lUEKEOyLx8S1sXtqHlEaqm+/mNFAthnK2Zq2jBCIYVn8XkZ0llgDMRjLl3DavTmSlj/76uv/+1/8f1/Vl+beM75cvKRkcS3Y50Bdu9AmiL0sr2jtiMVAlK4yQbfadkwqm9yiKEgy4dSHoNn42hYkyTiqF866Nby1jJdp8vK9CNdmhlGrjfkmYKIcIoz/0sUkrzsBQklkwVnC3Lyi4Z1Tbo+lAAAQAElEQVQIQUXNxnSWwe89+/O/+vKHf+YjD7emNQ8RsABQpYhq4vG+NQ4ymVAXVRy+gNQG6s43C0XNjeWqUfjm31EXd0WLDSptL4suyTLppG2ICoq9VoXr6mkByCUx2tZ4RWbeFy2Iy5bolNwJaVIjLzMQGpqwZst7s5ZuASH4hOZmLSOQo9NwtNAlUQwCOSxmnpwiURqKXUqutpuMNWxJaGGnmER9Vn8YtO2aMQ1u0dYgWFcuA+B1WbqA1He0rAtz72AZiGm9sikXrSCKeJIlGrXooKhnN7iJIKhbqwuAJVE8CCMmTdtEcDVSOMtGttxUKGGVnqcLkCVAdRYV7gpY+Uega8BfNt20C9smaenCYIsr4TbMrE7EYVvobnExcKVQ4uIyibB0Tmy5tSQUIEu6rDpZYiEMWI1PO0Ytzx1SsMYXNBB7oVqiN9BNIKmWyWLSEAdZEhzdNUAXwFtea2Qtc6imLVw1JnfECdCrcoU6ipMFoPhq7A8vHBPG7iKIpLUYlyyquWBCkmzPwCip4xYbOKiEA2xefToyJ82RhwA12SyHE7neWeGabMsA5UBgL/EAYKSTlytCEau2Bc/n7rVuNPqCjHFrYcaITBBSLVEaYX1ZYJe1ZGuNjaRElhfQZQavRZzlZSbJi9KRsF32lW8tmJe1pD4XWzL3E3cbGRNxo2noSi3LHMeqqh49xlPexko3/9UFIxWSCw+qhYIAWGFrkc98JMDYNu/rvf0Ln/gHH/qFv/wbl1d4pbI/XA9G80tAWlSyfOW8LjLKcqM4/SHJCURukQ4npnYk+tYVyr7uPQQS1jlhGWGhaoLR7Estpl146OJZi2HwmMl8rsPcROQw4ciBJMBob940LE2qbgMiEL78KqKFrzABoNeyH6z7f/cTv/iBn/2/Htx7BA7csGKhFAkjxtMc+dqmTTJWLl5lpDKWpVqW4naGZrFrhb3MFkD2st295OyYsqoQn0uLuEkiQdj2EluqSALcYg8q9VZI3Ru1uZySHC0J9ZgQjKoy54Zv7qTipQqmRtGyWGcQNk84iTFYKubgYl+IO9EqyLhL9rIvliti39amENTFg3t6pUUjoKF5iVHrNgtVzVmQmTs4KUSrkDZLi6CZWuyJGpjomE2biVCI7ThPh0ofsfGRiQEBBF/Ly2db2NLKlhZRGIGx0m0FrDtQ2LcmVbgwlMmD2wJjCZe1vHh8b63deCShZEvYGR0xcnFXAR562MOCxmRLwnYGo8iopmFN9apQ2FvMXlUd7IHgXi2J89zuztqVTRHuHlKqJKMPclnliN20JVEGO7RsnRcIHheX7Pnzn9WFoMOIj293B9zioIkDQ6iVnBYmUhVYLROTAflz5oZvGpo6Ld47N9+EYDzk6ojVckRO84idg9Gl1oWTbwgZ5xE6VEGnezOUK2GICEA8iYUl0jaSSFeDBEVlzMDCl5fYiDGYPTqCFo46spl1IRo7JwwUbIP1aBo/fBPWHn79TS5t6AuJTg2t0HjUIi4Mc41YwiM+lupbaHagiXhbyTRcqEPgISm50Pay6ZIgLIETOWZ9vFo7KtpQT2SJghnaW1zn5sPBNEgJpRsHPmySp0cmkqYhOcBVAGGh0CNIrNIIRAQRjcqOPm+uA1J0sbBMAsDVLR7eYWFkYHwDJEwdLZc7a3Fl02prIPyIufZu8Xb3YaJVhVNH2FA0SNgFKiKMayoDOnKlyUxAZBBWQDeSxGCbENZckSByGARz/7+o+vBP/8MXPn8vl6cx1xIcLFrfwVUQJRRLofNsswschIFUH8oIRl6+WNmGbieYSqMmimakX3tMEw/T5h8VI08YHPGC09icPXo2n0R2uZnSigmHAzTsTZ0QBkTmdzwyJUC3cFsGpKaiWlfFU48anST13K28shCS9eRzH/4b//gffeJl4SvjrxrMNweE1HETzSjtAAp1EMncjRtMuC3wMhAwSDMAsIy+eVBD9GgxenwblvJIwQojiJgYicYoWW1kOhMfRJBhF5DN+yVyqxFXW2tGpdbdoSVV8/lMCi7PAiY+saQi1UUrs49yTAMVGL0C5RkrxVfDjjvesvG4QUg1NMcph7WhHMwhMVqGzJKBi+DE+5WFWCxKCJwNmbrATfFm7cSZQvSGgGie9s2mEUzonURsOiKZbPJGjHXl+oWiH4MV4DGZxTXFOLasgCgn5OYNJbZYaboGcoWuBERuwSAal4VK2QQa7+Taj0AL8LVfICEjSI3A0s7HgwveHHzKNp+7BiYX4J4YjrE2A5VR/1JlArDw3ImsIzzKahm49xrYHrDFiz9p9ViITl55TMfaGKgNB7AIgyhZtk6aOytmEPYU+CRCpR+ccTpehxJigUC2t3kol51hC+uD1J2ioIXIwuE1sXHeFVgFVGxQKlchCr7DNC4JZVz6a66EyPyssTK0Q+C/29cTI9dXYhMgaQIRuwIyjnSuX2xCkbH8iBYCwio38QRl4N29CbUhw/EWJ8s6Fowd5Gu5ITHhThhokLtkpAzGMiFfc92E6rpF/AsfCA4c13a4rQq6aQIiAnEk+HZH6Yxw+mt4QLYlCFjo9qYKdSFwKAorMIIkQvTxbI7VVrK2ry8/fPkn/sFPffz+px6t684jcmOFsnxPFEwx1K1hMwI1Yx9hSpcYfBDYJX7n8VGgdlQsGFi5YgQQ1QCAmF1McNwPzJayPDdYdpNrGguxvZbMT7gKdtayhappmxKJT3lmK4hsTLjtWrNRjhBR254CNqzgVkD7+tT+8C//lZ/5pz+nJ0hjiej9GiQoRKXEBgbEFB5JGy9OkzDyRlf5gSkWh04910hMDFyhMUUTzXhDEdc/5AMUsQtCMLApGgI8s0dsEErh1fn2RPJ0JuSwLG9+TZNOEntEEKJikmR1hoMVL03Dyoy6rFU74mDpGnEXZaSFY8CxHbWhTKsHgamrY3rxHESXzdNakrA5W2kTrWooDlGsXcgVeQZExVMjg6HiKFkEBQyARUPFYI8irLYZIzF6mAiolVs3VdQEcm0JQmBhMqdlMcz6qXOHf/qSJsHWpSH0rhAH2vhu4B2WS5Bu+M40cQD9Zw+KFIKGMlSa0On8AaS2IHKOTAiY6K2EqXqDVLS39hEOs64FLXQ7LU+A+F73lq3+VjUuwdWUjWyaxPHWCzIOMm8OEBZMFRu+WQ9TKy0YStgQ98WpuVW1FMPREhMpbQT3RYJLK+LrD9hw8SV7d6UeA5FS1BxwdoXikVjBCIeElTAdmaDJ4K2aSSI0XAkBkarSsKWpAkM74FkKSmWlQaqk3m7jw4n7llsfAWBQy3DCwqldJBFLnIkwW6ToSvHAC8auhK9w5tuLYoSkSVbJ7NL5POFIIBZFGFFCaau3HhfYg8JpVAnaqicCHeoCqdNCZidIQrBwJua+ihbhyYKEgGlriB0lXhvCw4o7w57e0xph0IwokhDFEl20EExdZ50lLoMwmWeLRkSMQsUR6olSVGjFh1YBECt1MNKt0zr3GQ3rzApSaEeTcKCSowEjh+UUbcVVs3ZuK+JI8Bha5J6QRHkTpAY+E0MBLUyqbqswHZqDWziUCkGuhX1mRWTtHhCbZWMCYu2MwZ03O7E+8enP/9JHPv0w9yzeeoRgz9gECDhHpjEEWzi/us4kkjRgGQX5HE/BNxJmMsIZsDNCQHlYTD2QwNPGETJhVVMxMJl72wosW0tMans8mysmQ2o3kSxLgOwRqwgbIFDNvofs1MNEVmhY2lHowondg+L1+qMnfvgnfiGXy5jDFuHW7fDxIprh4hUmXJA0JgjEUTrrQBkDCiRkPGQTgZDthk+Qs/KWVkWCIwpPnUQE8omDHlXQkF0FAq4uhblIgwpX9X6Q0CjUXjaoyxRJQcVMLNGox0zSmpE4zDZD+5kPiE76kS2jdQhDYvcUNhNyLeSLVBK1MTncYnSWbAxS05lJgHSzKnwwYz0uqLFoqUfjkgNawl2DNSLm4ZzTJhB7YCZWhSkpj4UyH5m7ZwxAJVEvEkahiYTSQCAxvEZhtlq8JGsaQdmIoZNOw8DArGHMQOAawbtUHQs+BA4r4lxQrK5tM6GEj6poGSE+4tRNRp0ljkRsrFRnIkHTkJsCc+7S/iYwMDPWSQmJCBMbt3BhkEEWJ9CAugsC+3iB4tQQSL0rsI0vmmBoRIT+VtEXtZvHDTlZ8DNvv5ZUfNXXjV6NzOMDtTMhO41lBjT8WyBSy8ORY8WWblHdMKIqbCwE8QvF1XktyEYkZsfqGn4jCTTmW9EIkvmRbdEsNrtUhIRSgQ0OPLlGFhrRBGIq6fYTsl5AzgJHYEwAuVLHWjnhrVu1VlFzX7c4cBoWgTC1I+swVHXiFBC8AWpMG+hdx3DEmzDTDMJPd40siCwEE50FxgDTQZmvzq98+td+/mN//9GFv1xRNom25vdVOIBZAhXyW22xglZoGo4SARAZdRqedcFruuYXgAhFPKY9wdWIiMAlJ1cWjD93dC0tvo303y1q4KWZLH4oQToFpN9lelojUBhy1wZdjUXwVkJ0XikgYGlSzoedBGjfoGJggn//qUfv/an/4wt5hUsFKHjsHGnV3BIjuiTKYqAOS2pNQZaEHwgdEJWKMBKY/Up15vYtEcflSZ7zjQBlfmqiNHzhqC1QjMDD9jQQikrV/6+ZCxyIIaoIiqjMIBwe+7YmPW61U9L0xyA7ilxfzCzDYY0FkSXv7uXuZouPGrSwh2wlishbBaQTeQENTW2EIQKdRSKfpBlLgHBGNk+7R7CZJpRk43on69Yw40o+EiHcOkbi0hFIE7daXEMINpJQoESz648AlQ4bgFqKinMJdwgQZOONJCLkWAHZipt8nAPJvAEgYsUFAhZguuT5ASCKIFAssdBvNDBNs9gyFoRVtAaiLiTiiyCHuKENIALp1saFgTOifnEsIVaEC8dIGQQbrZ6kIEYRru/GZUAggoUgjRsK5akomzumblfSmp3WANlRP86BRXDGxuBBIWUJLaBzESJonjPcycTFRbd2/FCmjhsTb2pAYTvmSJXqAgfEBRwBL2roOE+j8iTnVzZstFpAmEYhAqvhw0EHo9zNI9mYy7MtKgRRGxAuUM6a2QCsGMwD6qOhYJc2peHBSYCQP/AthUc3ZiFYAlWmCDzHXhoCPe5FNq0sUUDBE3VqCzoRuOKoJ5qaF6x9HTMisYVybMSJjNpIDbFHKQ3tcEhYghhaKbam1539jiRtGCqNl79E9qhh/QYDAHs9mSBA6giBjsRmiRZuGBqrAGZkTxgbBwJQKbeHlGDKiRe2G2TC4rQnE0zKIECtMJEI3l1iChQwnAIviCBlIGHGsWMwcm6NK9nLbfyuWr/2ic9+4jOvyRdMRLRle4mhElxwYUCa20pUgreDCiMZQ2QQlrE5fTAxkXFuITM20g+OhysQcSDk4VbhfYUMgx61Asvi3iNKZLcMn6eaamBwwa5nQDOqOyJaeKpQYn8DVMO/aA4lWFrJFAge33vy53/lpV9/8bMhoiUt2QAAEABJREFUnbS7e81eQrkujgC30cjWSdAaCmMRItqyvWYUzZXSX/1JzYp8YAmbJNAmKSoaX1lLRBqH2HeWCOd2bIh1YhpFRIHGNdsSNWkayM3nSIKlNtRO6heNN0IMxMAG2IfCiOQ2fNEwP66gyIlf1F1HBbF5UosvcyPQ0dEQ0j3kAcChIyGg48mC4KiXIa1sDOB8GnBI9iKHCNi/LELDdMZMozoibrzI0UC1U2N7gjW2UXrTDAtKR5AhdqgZuFZXRx7zpJf4dUMGkgESDG82PDBDVe3sPGBSv9JGYaAoziXiL4sYaxUDjLCaGvEIARDTj9TJjV0J3cJbTUQujzA2NKyIabg+aWV1OSAaPVjM3KgNgs2SCVSmHjfbfPwfqyNAnHkGCPgqcheKSDRCjG1mVhOSiWVtyMwgdKiQGMcKI4sQBAqrbZAlIm6rpmQEkpRQRCE6rsiIgYw7XHYfqIkEG+/sTTYZESI2wnec7SMu+ysaftAa8DCBBLN5AdsJEJISpCO1IZ1r2HCKunnBr6x5mqKkgrUqh99ENwIIFoVUHXg4ckYWpy7Z2dSzkPtlbGjNQEYmRkJDZSRKxyU+qZtSVUEj6LSaRdmdwenSjTByf0mReWTRRuDaN37U9OTDgVUB3V8Pf/ajv/gbj76AuvkPb6ynHUo3fHaD/SAe6ARrOJ5lM4JMR6Re2GilK2dv2CeQ23I3SSmAUloEIAB6wjufi6Ll6cv3li/2mta3q6GIFlgTfUtcBlJsNZr6j1jqS0oC0SgM5GccHAyvjoNsKpyS0TYb/etf+Pjf/MjfUf9LHssAkInNI6bKeC61AOKzdCyMJGYUrb+KSE/faJKnoUqyvqihjKmQzX+rXZI4CMZ2zFWPSCqUU36FosyiDNlQ6Qg3uIBA3OGGaWTrrr0hidpOx3YERuTWv/tBLDekCtXRtdmqxOa/2PeOFaKYlKam6RaMMGWrjVhjricC3DPWpvqwqxRiacnWG41SUEmRCIFTb3ZBqxqJO0FQTbPNbBrTreOHnY9jlqkWD1SuwyRsLBBxB0KkOxcqER6DFG/6WzrCsVbSJARJOnJJWFDwZsERa4VSdZ7mtetuyWZQTpSa8QBVW8ociyBhCFGl4zE+wDMLT2LsJZptsTQ1J2AwJtp7yiiIi1gNIJyGYCpG/TepWvOYzQSaKPjfCKaMdo2vo1t2ApaJ1izAaLUR4fTyu7OYukWACULZyike5+mNBU4KVIgIpuZKyhGCBX8yVBKMrU1o5bxFMKshMKQNmduirqkmIMz0enc5fYhdnOfWAdi3+gGI6HVlbiZxH4oMBBaYklhlsCizNBE+amuAztQxGDxUl888nOI8Vc1ATNXMVxDdohkelxSrWQhVDB1EFdhc0bBS107rGRpY43RK3kAMsRivL9ypL4SnkwOLxXXaResLkCV2dqkXOlhbABh/RtW0ljkpyz83EC+hMbGFwVvBkKi+WEyLhLpiWKw46QwCOiOzEcZcmQg6DVhi8IkWB8nWsmgONpnG4tp5KK8rEgT6TCxQRxCNC4QfNUQFRUHzGbDVfzKpbaHsWglBB2KkB586cCrO64/2xz758msPQ7lhg/ERZZoip0r+fhiLXcGdJAKnvip93AE9nGGIJ05271wfZj/K+Y/smmzNl7bdgadAK+byZfFbSPyh9NrgEjBxmzJjDTBnxvmFtWFalpcZ4CxL2q1Y3U+E+YWLvDyN2i0hppUgatoAI+HOjM5IrSHEeuqnf/6j5gZJdfDuqGkskHqocdzgzw6z7o0ZNfW4BQtQkwJ1xQk7tNkAIQXDxKoFuRn2YlyZ4MJJJWITfoh1cQQQl+OKR7A1nZ2SEJ2GgovCMsi3fNYjLKSQdCsYIVqQZLOfkkWbIeSRJsqBOJm63SHEQWyntN3VEKYqgcwsb8puP+6BVokdZmok0tDrCbDrwsNvO+FqE81ybOI0dcvrCq3HvpgImmwBilZ/Q6yKZ+ZfNbuaWElkI4dKJLOtOAMjRrUj7DFCEulXa8CCbHZwHkzL6jZi2DwNoOa6xZsMtsWuQoSvK+EBWAwZ4JKLzIB0wKwOPILUtViGQikSfw0R+TxMO4RFxFtt6AYUfCYORDyWVxFCmMbEfo3AWXTpBEEScUBZ7xFUYkHyEp+lhZjCFwv88ax4kzXW48vZIeAFRhcnxjqAZDwyoz2TmoKke2/+MwVC1BSM4nDRbyxAY+ERiGuXxIToJqismtA6aawdybQutqXD9aoMH6RM1tUi4dfSvUqZmETL/E8rd1gDfD6UHAFxcKezKmGJ9sYo7dQjRBT8UzOIgHtl41oaeKyRXbeuUgHK4cbRqi1jFeO2720uhkScRG6rX0AcNNGY4B6ja8FAUQAYpfpvrgQ0RTd0S6qTNiNdZsBKRzggArmaNkIWoeiv68HP//rf25fsfb1mX7komyl7k5arrr0bHDY+sVDoLODqlgLixVEsrPc8/0SSUGwLEgnoFVUUprykS/gMryX4HOrlstbFl+V10brn9UTWPV3KEWQDIl8Esi5XXzaJtbYBJdle1xR/5MtVl0fik8k6RYvV9aAlV8bNwymrl13Z2QXFjgDup9Zf+4c/c72wuECw+PVE5xSJMrEMMzzzLpPBZmjM9OqBuEs2bwYTot0IELGrS1n1GIgcXksLZS2ftiRIWCqYhk4QwyFtCEJxI01xgZkGHJqEcbamt+LA+0zioBz9s4310IsmkwJetTpVRz2GgsedwvbmYtyZbM5ho8GHYVFA01tEpJv2hrfYcUVwwdg2ZPp8+goSl1BYcWSfMUHTLYJyQeo2J2LbHJvN3oRxaaiVb05ChQsFskRYRYZ/kzGY8w+08IltAAuC2ggpZIzS0t67xVhcBrP5NYm2NuGc2qI7OgIniNZ0FBD1spwsRpbicii11ojYIkhiqJhEa0F2HblIxGLTmxdIPI75ddAa+UV81ZWa8ImwiUZVImojp8MGo8MvJSKHI9F3MzTwsUXexMI+VomPfYzK+bTKw5J9bmtqEYPgmH1SBUlxm5oEzWPRFsx2skgomFFlMooElCoetoWqzMIiIuEmVZP7E69agcZm8+1REqF6lPhqGsUS4KgRgVo5KnyiDAWQdCQcrdFMYw4piSehBhZdhcmrJsIWyihkqERf8lJFQ1CbacEimcWjGAHHkjjmboXHHPV8FeypA8lgc7iSjszaKRzjIonFzosIVqWIvPwuWBYvQvwJWt9QJyu2JfK2o2naQvM08e3cMlFriH2hF8MqHuJu+7yYqLKItV2yUBpI1XiueBenyk7SCbNQkLYqtAIbBMEcN6uwzv9K1Qav7y2MorbMjgujVctai7k2oIkJqxDmZkCUzM9aNn+qs/GwreW1xDpvrw8uAXnty4KMVRfbkhhIYyNvQzdai13akgonTeVEKxW5QOKcHjx68OnPvmY9obDxEgHw07ZYPfboDjZN5LeWmCUM3NX6adoW99ja1yfz+rN59Zm8+uR+de0HhcMB0/EjgSA9ldffvL7wpf7Cm/355/SFp/Vg6aq9Vx4+7QfP6rXn/OpzjHrtGb/27F1/br3+3ML02pv02psu9NefXfef8vWp9ejNl9e+9N6rb7m8+pb1ypv92kWPLuQR943VNqnMyHKo9bEAtjADSezobWFrPfXLH/nktlkehWO6UvtIwYP9GVlnFBcsE6EDIZjYZNytGx68xOacKP1UbG0xm5eUiNdPCWnKoxxLhInttZYXM50py1qArnWugTVxmGCQbgkTAa/euFdeqsA4xULEmoVXmcZFCFQCQoGyJFIozBsrtdlGi3aU/dgKBEWkwGqLQi+2pQs8ybHsy9JlWcs08XClbFyyvO0LrFTwWoB8qZWEW7ihNtFkPGVAzGshLLvYYSCzqPEVsqbBYEalC7iPl1iKirjLOJwdcLXZrLfRq5AHHQlACuuI21jwOSUNe8GgG02VeZBxRgA/I4JBzSd6uQoLV3xhVwmq2gire0sXey1B2lqcrNyfe0DKPdD6CjrWEVM70vTNPgrfZF46btUsMxgpg2lLnPgVJzVWcqxeRKQcH0Gm1Td41XdUq7U1wloG1dAwebRkme+LHQGAGCVcgM3RXIymZToWf3G7rMUC4zIuM0q34NSMBLi5CpQrXlt+3IKHScEkGpPVkpPACSvK6KxlUxgAlkiEhMvUd+kWcq1btI1ismgCAIj4DbKngEa3B95URQZWdOEemGu6fPbPuPSgJdm+LH6r8SmYDw+ubtLLWpHXulyWo0XDAp0QXhQfbBbahcOa70a8Wzisi7Tkyoy4blTFKOKGZjOIDzDAXhWWvNUG4qVA7FMEfHXu4w7CiABIXpsFoeEiJO7eZBKQs/T5+5/79Bde3nyNWYRlaaZJae8229DDAz8tGhaBPQutvLK88b3ce1JPvEVvest+7s37qef2k0/uS4n4savjyfy07v2W65t+66M3/QvXN//W65vf8vCZJ4KNI9HT1/WlD5/6svvP/Jb7z77l/jNvefjsWx4896UPEJ5+y0OEp7/04dNf8vCpL3n0zJc8ePpLHj393KOnnnh0efLhvX/u4bNf9vqz//z9Z7/stWffdP+p1b8KXq9X3sM74pqxlLCzivkRi+rapcXKjI2qAujrxz/3whcevCJWnLXWxfbqz0IQJ8Zi1gUv7oHNv8k2zqpewlzHvqF3M2nXoeNV3uYtzB8p+y878f2QIppPnHHfPvOvQMmSMlY5yNTZseDEfixQDVyymCS4Ub6YxBbGVSxRVWMsyWYJnGq8dJGEbjcDWO9na/daMJcsMUAsDX8b2QStYGtZFiMHzgZJQNoXJi+iLeOypE0N1q1dRrJhsINcP1teMiN9iWgL5+VauUlsweyNaVhdpixghltMJv6NzCiNr8xGDFnxEp421hDbXlTmC7UBuQhFamlLWGrVWQopJE9rUG1bqx/tRdFQ5YuWylhk8QhcmiXTTdBFBEpnlOHh8mjXAwG9S5OQFcxsYK8Kqn1bWixhES38sqA+gIVVbmPEYjCmieEsraULk9tEYGZevzv4UbsTE4qKcEOXUGV5OldtdW8MfIcsOcjrskAXviherpsoPlAl2ZYWuV1ZxOeGw9JYlmh7VXZbFvqFTJrQ7mGB4Cuy5cbLCA0SBvNIC5vE4A5C54ovSeaH8hFIULl8XLpcV7ZavKiMB05BPm0rUjVZEgtAFo99b6IiLiMRCTGXNUYx9qD5EBpZrHvb3IwskQCZqIuDwookcXTybWkBDwPbyvLLF16WcCDHxQ5cVHQiBwa654FjqXQTlCAYeUEUQWJqImnK2N3VBhP3qlGothNE483U3iSdeVgR9vC0Ltj8vpl4UcPsMIbg3E4y9cMZ+a7vcBAYG4TL2nCum5EG5uZlBDZrsFEaS+DEASTniXyKKMIjnSD2rgAbgJEXZdkomrlx+liE9mbkX0CpRpZGvL1kcVWL5QUApx46rGoYDrWnRM248oeVlgec4QUOMLIXyVtGPbOFLBMAABAASURBVNO4/Vishw/12us73WUiJPzSaQZeEoq2m9dyY/ILiUiuO1YirI3MTKy6dsEswg9f+y/+43/9v/59/8Z/+R/8S7/v33nLv//lz3zJ5X7/HUUKiwTK9Uk9+g//rX/uG7/yd33jV/7OP/wHfvfbfv+//bv/1af3w9eXdH39c//Zv/fbvvorvvyr/tMv/29+z2+nf9Xv+e1f9RW/46t/75f/t7/3X/vqr/jyr76Nv+OrAL/iy3//f/Sv/LYv8b/45vXf/ef/5ju/8t/9pj/wO7/pv/pdX/mf/MtvvrzupbWW+dLDxXGPn3rFTM3selgNpQeL2lhNaCxb6/LZz712ZUFduOf27FIzp2JLGADUlt7gAEgYiDJi992V+qEFLGmt1x48+vTLn/vYS5/9tY9/6h9/7FO//sJnXvrMy59/7bWdfbmk1eJjrY48rSXkMYGVu8HJAKxB9lrCAIn1iFbTyRtA1gh9JI3K8tVLIpai7GJAK+JM8a5+Lczrhu/QQt97ByRt7MXG0sxKBQJMQlxbxlXaFF+tT5qkOGHohdyQlblSNlxmoGRZVTuZYrQ1LVSHACtSnZGYRSsAQhJcGYGIRF257rAbvBJO3RUwAmFcnlcMCalVMr4dLWxqg0ZHIv6As4GjoNJrJa84hXjqLHITOjUW0U6lTUAZW6CsJehBvnA5HXNNHIETVwi6YOeDeSICOFfGQ8he4gt39f+Prf8AtLWqrv7hMdY+595Lk66oICgCNhQQsGAX7F3AxJKgYAFBLBG7r9GYvDGJWGKiEtMsscaCjdhN7GKJYIuVIqJIv+2cs9f8fmM9+17M+//WWWWWMcuaaz3P3udcYoCzDBROwnFKaFW9J4UuyeaEioZLOA44JgZPKjZT7BIVTDogG3FhSU8NCy8UE894RG6jX5iIBkzJuXBlJgOTLFhyxqlsC0NFlsygBynQgPHs4QQTORrCQVi4MloZDdjYhiKr7fhEIUa6bTmEZJrwAgeyrMAyKxJc0cEiRhhEiVdZYTfqmcuHApo+9mTQDtzmc1NldqREQFjIxYpMwEqdV2YZbafgGmClGW2HFRshub64h8LYEnZkn2jYSp1rUHwoFhVAK7LEpsEJaGL18QVCsKYhxK5IJjCkHSs4cRvgomawfzzZspTZ2JBVRR41tlSow8uyO2XhVgUFKzVdv2XjXGtW2vjyjWXJ/JAHOyoWdDjBKNkUj/VQM3HhZ82z1pZm9uymy3s87ZgTn3rkY55w+4c88lb3PvLGt12vZTeLb23TW6O8V9vlzHs/6f8+9Dl/8ZBn/9mDnvWMu//B7n1nE2dNN2t7HH/w/U857NGnHP7opx7+yJMPe+TJhz/ylCMeffLhjz75iEedfOdHnXLnRz/lzo968hGPeMqRjzrpzo980MH32HW+41660csec8afPebZr37Us1/5mDNPvs+J2tSrS7ww6GRM6tlEhqgDq2ilzt8BB1OyGbWilas3XcuTOmuRtGbkFrRba7OsGVQYl41iqQCgL2pkausyot5d/O66Nlu7bu3632y+4uLrL7vouksuuubSyzZefsXKlRtr89pS50uyGvBWqTf+qpfGWxoeL8xiE4X30SWRSRMNGTMhY9sxNRohNbczJNq5mhCTVBnHBQ2haHsxY4oIH06BMLBLtuXIWGWbQTfa9CAkj6JooIQq3uHEnZNHmykt7sbWwkB03GOUDplssSD3qXMl8VtgcckcGAUhN5CZ8Uw1IlYQsCx0TOgtikIzSfA8fKSGJSrBdWDDkCobrdmF5PSasa/UW9FkkKyMkURtcwcqewFcZWw7M3pBUu6AhVcwpmU3iSoixgUeEKl44bOdHhp0hfYganKKNyccKeKpFzeooCWixBYhcOOIWMKzLd5vycOV3VdIge5VDRzHGsIKVmhLQpvPHYeY2EKr7Ef4Q95ZG+TQukwINogiJgJMrZQ8wfXkBNClRkAoScwkADLa4lQLlj3STXjFltS62Amepz0y1wgKuHOfAKMDYam7cD48A5MSVGhNBkmGgKWB6KqGe6AYqTpZtYR0JNi2BkFsrENEPAYTWkQooHHmIg59xIKXYlvmAQdDb2xKk2/HIywmWJBIkQX7AGXweLZQFJkBKcUnQmTISZJKCClbVgbywBxY77ygEKg6rxMNKwLgLTlhy4ZcpGHenigAFPBGKW28TxbMdriooiccpNhOHgkkw46APURygWhCIWIQm7wK9xJuIFSZhMREV1oQhcFiXUQDghIxc3oNAfVKDOCEmcQqcnabrGt4r6GpLBkjG6qBCSh0ha+iEniDSkdOPnEdjls0VZZsq3f1zmEEHJcd4eQJFyE6ZsIsStGygg/FXuDiHCOKVIEhlM0cY9Uq9nAFntNgMYNtmD1Jbm6Z3PI9Y+xENKxBqUja1eHGKcItaeu9j9j/xONuf8ojjvqTJ977JSffb789l4GQQ3V+6LLnt9hr52MO3f+eh97yXnfY/5jb32LfPTb0tZXizqxuvt+R+z32vgcff59DTrzvbegn3Pc2x9/7kOPvdfBj733QY+590GPvedBjQx/ymHsd8uh7HfSgu+x/092XdlrXD73ljY88+OZHH7zv0Qff/E633Gsd3wmSIJmJ/bCQqrRtlacmoQXnKiMTW7bVzC+W8x4Bh6QbmkMWeGXAlBCZVmoTtNRxVdVLfHwzVxO/Tn3tOz99z0e++ua3f+a1b/3kX77pvL9443mvfv0n//xvz3vNm8/723/+9L+8/z/P++IFF/36ClFlbtNwX/FDjIVfUoQpzpH95CgLOpLQBK0uJ1zRSCqaMQr7wccMWkqAYNHYQwIQAtd0ooYFjajwKpm/gC15tmTPWpu5zdSglz1bdluC1mym2bLarLU41GixVsdh+pAwkWEVXxPp7KdzIdBmI7mvrOGSEeTUYyN1/EikJCqDIjS7p4swPatGwylrQ6hKKiECqRAVCnXFyza6RMz0bQKFCLzFQVMaFng2mmLQx0IirA6AfWUlQ3oEnH9yZkAhIEVo4iQToLHFWMhFFWBVUw2ATSaxYuPYQAlgkUM13lzQIgnREE0RC0bDeZF3ehXQEAI/1MSVph3hlShDyoFgC1kLyfAJL/E81yAKX7GcVDVYizoOrRS6C55kqthRBNEVwSNHyEJUcegTU9lPZ1bMScsREIWHECAMHuMDF21kMsUVDQpDNjf0CNKTI67IMTokSYJFuTkTcIRwpayi1ZACM0QRUT1TGILSLX51IhncFhkCkaAnOERCsoUg2Ono0vTpg7VoVYGV8AyBQCiKKIUMckiQsaMx9+oo6Ibl+RHJFzJPeBSFJDsfgviMARlUDJRWNtZ0CGpIQnTYgPEFlsA4pCuyMbRoDsfNKZrNXizxgo/3lflqwUmotWhWLmw8jcx7FWAisGaTBGoGb7cmLxrvjJss7/Hw29/nCUc+9On3eNxzj3vyk+95wk613pqJiJy1rfJ6LR+81wF33vc2R+5326Nvcbs73PjADfN1Xi2t1p7Lux578N0ec9j9H3PY/R572LHHH3bciYcdd8Lhx55wxAPoJ975gSfe+UGPO+rBjzvywScc+cDjj3zQfQ4+ekNf3jCf3WGfWx9+80OOuPkhuD3kxgdwKkk0Wefw2KQ0CIobpqpSQMmaGomRmrDrq/MVAZ72GsJCi6Ga5KjwUGI3FM1KiXANXNH1mtXa8vwX115y3vc+/0+f/bfXf/Str/ng3776fa975Xte96r3nv3n73/dX33w79740XPe8YUPfO4HX73k+svm6+ZebuI+jgTw0WuiiBHvVfD4TreIS+QAyEaggYh7VNXsdVZ6y0zV16nSrWXkg15W0dfZY57ooQUjOb4oARErjxJbC0l8Npheog0RgQ2tMNhl7QOBYN4xHo+SuES8QjEDvL0HHFtRXGCmgUAyzYo/MHQ0WAWmgCe9PQBRI53ooY06I1IyYHHkrHTIaSZL8x0g2Q5tCJIehmSDW/aLpihGbjo6EoiYotN/3zO6RjosJeDEqBICgePQqmxkopWQSYJHyNIkTTrLnGh4mbhjAi4afGJLaAsZnTDsIAz6UNxxi0NjQk0qiR0rSATBQwFW9oAEfUgkUGZQgTCoCic5dHzSMSNOUQTUJTYeSBV+pr4NEDMlb42GE/RlQ3hqvy8neFiMs8QMl0R1SCNzpgUKR7lDmnRD4byIskEUOCGdaFFhxwxy+BN5swl0CDlYZqXVRExbAZkC8S7oYOEWDtGKsgzfSWGI8UxWUeECLBaCK264uAaOJ8AJUANLbQFgi1lCM2poC2qhITNsBhMhoxa2yODitArCDPqg44T0YjihIhgjtmRNzLDYYDo6E9biImGFfGGnGIwxAMlG1FX/HzWSaTuY86rBJAYjG40Wn0YMk9ADr/DBDYJpwns00fhUYCZYEkbpcAxWF0+FIbAfOyJwJBo+Bx4KDRXqSbkDSFcaJ4o9VKEmFyiiMBeDy9YKY42hRmBpoiWZptFc4xJUkQXiEkTZ/J6NmmoUN8D4rwQwEwZoWrPMSjKkqWgZCJi7G+4h6AlsK5tCiJWbmvl1bMflvseObYO13GqdtcOy3FeL8NVpxGliC3FoqaVX/PCRRkJFLXrN5zNpSXzw5i96EHQks9JSDSGqqiW6jJzNsFWcQjfJiltbboywLHabVEpzpuyQIRkWNbNas+kua3pjiMZu6WYAr6DZRVVhUEjCQJJ5GOQA51XsRq1dv2X13R/+yivP/vez/+Fz//KB8z/xhZ9984IrfvTL63552ZaLf7P155ds/N6Prv7cVy99z8cufNPbv/KnZ3/07HM+8f2f/KqmnUyxmXFceE0UlghyMGMNERl5T3yXgpNIgPTgeNiCEFBPWmaENsBoKs6rTJORySozsRRfbPr8vC985+xzzj37rR973TmfGP2Tr/+H817/D596/T9++o3/+Jm//af0N7ztk+9433/Mlpe4EkrDFCdVFM7wOMsClUSyIwZk4JydiIegko8WjfTp7GN6aZImbABFesGEzqoY42vqNoFqEkFpe6saAOWEnVJAoCyTYmJDpxNHIJHMMacjdBoSSHygBcQ8WBUYfOC+R5YBvCEVl47rrtr+uFCGaRPUJUDSJDoUUpC4JQoOYeloCYEwAExhxJMyUkCKX02QxYKrRIXDQNqmE61IKUKyVC1AiNOT6SQCE8EYoStiiMmQiBD05snBwCWZoRn5FWrELIUtTOdJyLOhgiE/lHQMMg8/0On4EZD07Dy0Yhg7jFOvmDuVnsJjFScoxcAIW8wyyxMEfXopVwhFoRfM/9IG8fsDEFAFUzxGYiOqHA5v6Q6QuC4CDECVhZCTL0CMCoKBfVKFKshiNVlqAsHRK3A0rPEVCWFYjNCizIgh0WdWZxcQw43iFPV2ZiQEUnYCRSUIcgs0cWFlmtKCZPVCwi6GZ0TZDpcsH5Th8AFG4irP5/NCa0VQntYo2BRMibOmOJ1RnJdo+awajkPIbfRZb3tQWn1PAAAQAElEQVTvsNsOWl5Xs/XVduAPNdU6vqfXOWYl47czeHLMm5/POd4SfPntq2t9ba5erbwkL3f+2jPjQ2ZJWq62jt/QyutCQM82aIkOO8NTUYNaVluu2ZJm6zSbaZbNKXKcs7CPAkZwOmfMfEMHp3CZ2C2FoLZcCYxwEwfZt8YEpsxZWmmthh3XQXzfSm3516pvXXzB/33P61/yz6/+64/83Tmf+7d/P/8Tn/3Rl7/+y++cf+mF37r0gi///FufvPAL//aVD7/pE//yF+99/QvPedX/fdfrv/6z7/R13Xw6EFPGHyWv5K2yG7yngGEj5yXnRCz15BdkXbe26e/P/dezP3LO2R/9h9ee+9bXnvuWvzn3La89981/8xH63y/mc/8+knPf8tfnvvm1H33Laz/61rM/+tbXnfvWsz/45q//5Nu1lE3ZI1Zm6iDCiVMp9k81ALiUDkVHrECQCDM6QjpZFYsGNK4ARgDJLTKHz3lMfdgw2Uw4CwxfcPTBVNOiDQTxeF6AQCAPBDnOmE0TQQsaK2ZAIKqmQtU415iTkH6vJWFAiY9mOCucYBrRYvNwlbgSleFBgIkdbqZAwKAz4yMLwSd8ZjD0YYOuICroYMZbJkJwZmhsY2iZtjMT3oo6ycIbWjSLTSWqw1hmyVTECckAHQmUCMUYs2RzHKExpz5sjQJaZaezTaC4KVx2JkgEijdpIGGJEjm2OOlIRUOI70FgG5Sw16CZR8Jo0+MtDmKiMBEuRu4/utFFgnG0gLDgrRKPPGsywMdwgYZdIMOSWGKhj4UJL6jSEbrEbn9PBIlDZjo7Gmr8VvIHT48lykRaCHEaKlsOXmRVMB6OAlUyYlTLhI+SZJpoJYSsOEQTX73hYQiZzACRBELVgI+c8dxrMozVIAUUR+lBCwwjnT/pRBcNwqmaENwe81JpJltg5B0CWzpZqEuUkCQcDjqWhSdgxkBOkyg4BH/IYw88GoQBNAASSqHkZSIlU8EBo0vDq2gBoA2PPZZ0cIhdglB4jUYNxspk5S1psq8iBYl8ERM+nw9IsEVoqTxNlWVAUGHnYVK4r5z3SKoPOQoPcYkFB5I8vXxV8pyt8FKJP09NRGEY7aB44cUdbvEzusi2Zq4mhS9gXBKHbnworhywz667bJihbQDxU7p+0xZAStVZPYfAZ1LVaNiyMseH1eYElWRXZBYNIqZsBzPNy2siea1VOs7UY9Mr4AxROmxGt0kEDEqShsGfzGuDC4NOErPHLGAw0HJryMX2srAPAZE42+l4MEaHzGyH8JiSIWq5dyWbWfvPb/zwGc9/87+8//zv/2zz1ZuWtLTD8oYdZ+s3LK1b35aXW5t5ttSW17Xl9V7asGl1+ZeXz8/7r1++9DUffPPbP7N5dW2JX1uoAXnLNKkR3jIlKCI0w5KDRiMiSUYkpk46Nh/x6KrZwJhQWJa6ZaNRXAu6QdAhCYF7FFhIqtmsXfbbq//+n/7jE5//6ce/+NOPf/4nn/jizz7xxZ9//PM/+8Tnfvqxz/3kY5/7n3M/++MPfvoH7/nQl3ffa+8iMAWKD6wJRJ3Fw4kvkXgRhchFeBY3YtcYybELoAtoMblnktgFffqqhUtNLcrSAEsYD6mNR4TDfEjUpSFtouFnoS1qhVUJbQ1dKHLHNEKGlKcDESZmmXMtze/+VThUhMYSIF3KTvFlZ+IWSXgtSxUBaZEI9JA4rY3Ho5TW4sgAJQsTW5wWBEy6M4mZ+qhTURtGzg7wG6cBR8YrsslQpCz1UBjDk3AJDdPURwRSEq1sIFwhMp+0SKBRYcLmDdoOPRGKIUgkDkjgcyRE2aZCi6QrOQcCj8qxGGRMCGGEUU8jmozBcbqFWqzha0qALAcxwZiNy8mJ7QAVAU8lqWrRsDUtXCAthLBltfhBZ2gkLB2KIrPtEMm/k0MNpXnwhDeMuOpzhq3pXo00q7i3BZS9s7sYxols4y8suiEZWsFB1EKPY0jUmYvjG/vqmGKuRqShMJIu1Lz1WFGQAZ9bEldCNONIoIX/1s3bAMKFBkmFtmHs2JEt3fgkd8QDVmbLsqbtYjHgpMoaB+IDHit+t+oMtsZsi81DY9R5XHoeoKgxg+4kErczebZ57ZB9bjVTk9NweN3G69d6wQihZmpLcH08F2b7SgZVva+tzVeZ8b62pjU+Sua8VYgXvcmNPvJXWZRmTbWqvupaA8NbzvyGlpgSYFMyM0HOSoQRlGhVlZmgIaZRyWsqYZS2haKKj7MFJZFKR0nWXZR94S1uQHMb2Wfx90Jdo41v/PA5Z53zio/896d+fM3Pr5pfu7Z+Xju22qBaL62rnn9lktfbOy5vXVq9fPXKC6746Qe/fd6Zf/eSs976ql9cfckM1UjGtuxmm/A2s0inlcTKQCMbwIwZnhw3zTe/78vnvuvrH3nH1z70zm985J3fOPedX//IO79+7iCYP/Kub9Ahzn3n1z/yjmgBn/vOb5z7zm989F1fO/ebP/+emmXKmyj6362NMEVuxYWS7GyfoRBdaZhRhlDUpI1VuBzVQWFahBnOxNguCgGGEwrFblDiuiNQOFZOnvARqkhSRRQSwEoFjgwrSJUkJwBZQZdAsMYWhTBzA6wSIHr0+LHwN8IYQkiCMIS5t4ZomNJFoxClyUC0aBXWtBmENE3CTLb4walHE6WB2LZYU2utJX08w5vY5GgMIyQZQxMSnQCSsw0ep+j44lQFi0tgSjWATh11ci5hT5VSkwwjJ4aq4DoP0SiTTWB60AFw8ZGAhXEaH0PgZSvhhoNR1xKyoEvuCiFMGDmowDqZ2si6EEGoeEdpEEPSsQoGm2w8OUNKtZhHGAAxCY189I6sASvcjgV8AkEPCewNJsOzwsd2wJKBRitI3nNoYFMWFjo8nUKhDiHhBTmzFVcqT41VIBaZUOzBuM/UABZoRqmy8aqYRpSNk2xIpVFY9gcSWA3F8I4B2mK3dOQW4s5tCc2RcQeMZ2MxOtpoBt2ZUWAvcYklp4Nw/rwDTCLFKk63OIYSRDfCzklKAMVrhk2QPK7YeSsuoYFUMkAjcYeEQDBdMk0DbjwKLeP3u4WbAbOhLGFBx7agpVQcviJXpgZMEs8JYgSz2QwwRJ8ioEqaM5UlkwZdkBkW11II0HW0Gs1CZ2aloYUtp76FwMFHOTNyW6LAooAUKjFstxSe746W0SKYbDu582ARqDfKgk7ZDmJR415YgW38VoWD1gQzfLPyl0lvve7uh958l/XLRlip4ZZNaxs3bbHghS2uIcOyiAaJf1TQ07zux5du/O9fXPPtX1z1rZ/+7ls/vnSF36hwFT278lUbV776/Yu/+L2LP/+9Sz/3vYu//KNf/+66lew5ANJWoiquYEyGs8Zek55EupJsmZjkD1Y0rHvVHMpGE1hlkt0UmCEY6OiBqWHqFEMCgzf2R2C21zu1unbT1re+49N/8YaP/u66dTXbkd+pZE7R4mdEEyjbhR94KQ6J6e7la7dueO/HLjzjRf/6i8uuNPkbgDXOTtirbNmNx10UFJGbpAy8QUldzUZXHlkhQzvvwKNAO/NoYkYDCIixIRsFYkslIapZvf7NH924umMt3ajaTuyle31v62vGvtbxJ+lqG7rX9T5/wP0Pf/D9j1hdWSVqfGBu3LBICSKWCIx+8INwWjWe1RoPgNWctCQIkKgUdFGI1kxGMbhhkGfL+25IkjOGdJKnI2SnvQpHsjkXPCC0rLHpeB6FRRiUkWt7m2k8pNVbwIkudRaQGjFVvOewcSXHhrGHZ9s4ybMiLNGKZtrQNhgcFQlGG24BiQhUU0eHixyhho3hoMx2lsgA2ZB0NSTRedGk1qWhj0RSlsokdAxmq1GNsqRpEFHSrCU1VHRYM9LLOZ35JFQVIEIMbTFTDbwDzFyVOUNMdNIDb3CWlT4HMwjkdNOkEgO94CwrXcWqtGkFzAm6pSok0ByxnRkQi205bUrJCodnRLEtSCHMojSIPLLKxCUJjK3agKUOCxgBWwjaFv9qz1gAZBsVYGylHCUfObANhxaGccJHFjjRChF4KKACo5xCEQhRKsz9L0UXhhvBBi0wk1w0CoK/Uv7UhVdXM05tqoEWSZUtPkSE/54rCoLfLkjKZEXhbCsRsbAQ1dxsNFbAxCejSiAscNW4h4WwJCFRZBqtqvOnrqJJpjNaKW8+MsJMfUatStW75p3fu1zuvZJAr6WVtsPGpXvd/i5LwqOmdu1117rLvcmYLpEJVIsOI5aeJApAT+Der9h07Td/9cOvXHzB1y6+4Ou/uPCnv71kdb7m0UCvVf3o1xd99sff/NSPvvHp0b/8s+9uqpWeAk0OQY1O6ia7PDU1CXAyBS4oW/xMGslpPHLUEFF6iSLMiyMLocK52bL62qxyW7GhWwrYfb48/+m1F5/++he+8ysfvHq2ab5Ofan6bNodto0AQKt6XLYcj5alZfPb1+r62rjD/FM//vIzXnfWx7/12bWlVc5Gi1ZYsrtmNXumxiHgquFLMuGlrjTSgFht85WlvrJUK7O+tc3XBrE662vLfW3WIVZntbo0X1uaz2cg51uX5isQQ7vm7oarajgelEQAgjA3SVAszDZqrldrJitJVM5mpY8lsHJm0ivZZhRaseYeFOcV0uQMDBV7RAAhZW+2IboaWlcJ3ZA0ATQNOV2KYkzbXFVhmW5PAEnmh9mWSBh/xcuqcT2U6tmxdTDZCFacOyAAVvDcTgw5OGYswEdlkxYSWEvTLNQiAcOXzF+ukZS4QlnxzH5jNwai0W0TJZmUGp6BSR6zJEutM3AitKKxRRzY6MqjtRn06Nw1ideRpaHJFFdGQBTUNbSwhDJNmpCZUxalkfOkiq2igohQcQ5Nl3owtvhxBHiW5G2NAIWNataiZTQ3K2kAASgF3GCmrhSKu1FVhjZTEGwfii5pMTsNw0ZxClnxTWPSxXzYgph5OlnRSITLE1e2TB5GaC9mtBOLTwjOkGxr0kp2YGCymKsBKWoldSHCr25oWBG3iCDFrmYazYOzjWepEYguk3i8mapIttGWmOQ45wrZoypWGqEghiGvoZyFjSCDoJg1i/zkbBw2Noq7Jm+nIQhZxZs7ThYa7jcvPcEFyWueN38rgkuFT7IRzcWEIHPoZuY+hI08ITjypjymQOz4iud8DMWsokZYQwgc1OgTsgrboSaPIp+OkpVZMo1MBgsMVzPLyEfnoeXFTA7yJItzFwwE0WKhpIALjYbcjCFsg0CcDdscA07Yc4kNjogQqKunskhDF9sERh25DZQdHvGwSh4lAcZhwcFI+Cg1TGI4JxkXajcCcpazmflT5Jbb3Hznux16wAY+K6uikHpfPWS/XXdsWz1fFRkgTVcciTZ8I4FUJ1jbsPPr3/v1M/7m42f81cee9ZcfetXfvn/j1lXkdJNS1Ve/+z8v+Ov3vPzvP/2Kc77wqn/80pve+62fXr61La3DR7PjZvjGL2zuybwXjqMY2yw0I/vqkW0bXtQqf1S5wAAAEABJREFUWgnOliVRehmoo3AakiJVvmazO1MxAzPgSIv1iquvP+cdn/3QJy+YN34/WS6i0Tvn2GveOyddJIG4cIAtPREGRgRrnq3f+Ze/Xn3mi/71c1//4Vp1UiM8sZVmjKVm5dIiV1FqjDUC4Dr3sPAtqYQVIshmDpRKdIvsS5hlQEx16MVWwA1h32bzjg986Xs//s3S8g6OJwbdE4q58Ad+vnrrW9zoScffu69yl1TRkxdvBztMeBUbK0zSh0BiqZEFU5DxtshbeBUbzCsSK3ZWk2ZaYgaFyFK3O3kAE47GEtdxUcXe2Dg0KghYaDB4MCKYZAaVRJFTLlzK02TOGrpqoSUPoOLoHVVjTwFO2irhno5TPBXhWCZIaQaBghQVmPBTCY0V3TZ6JiAYtSYNJlOGujUaNuyJHo5vphxlPKHFC5ZowIcIgMJMYiKJABJu87qo6iM920odynaMEPbcryIBOTqRKQdhvsEnNsIuGWEQLBawpIC5cMNifNkabbAqwRKAZPAFKwRFG7DSaJNDrmH0xMoyFIMwtxcjLlickCNpCHOcAIIgF+goi2A9NGkJGl+mDRgreywWe5a5yTIdLR6U9OAXEidnAnlo0beJIHx8L5LBoW1Z/IaAZ0GL1sQdGYUkgfC5PVGaIAZP4dX4oxW03MxXpVbDXrJow6zEIRoeT7blckNHLqXA0OKXY88jgMcwYKIzCBHBtII2+BJMlBBVhmJ2hGOSm0VzJAWRbVpEVcAScrpFDikOimTJ94l8Iojb2LVW7GTOP2RxBHNuk2Crd65drZW31obrdPzRD7rFrnsjEa0Esdu6nffbYe8dVmdL/MZUvDp4BGbWlI0IXioCkyze1PWLKy997UfeduY///mz/vHPn/sPf/7ez3x088oKAdOl61Y2/ct573/ZO1/3sve+/v+8/2//7N///r1fP29jB0BN2I5ohVeGLI/WxmyjUk3LICXL010x+bBrtAHLotmmFioqQTe3tKRouMhVZIqqQXdpxauf//6XT33t83909c+14xJfripAhjk4UTzx8YCRzZ+4qFwJCh8lqIoATxt82dqVf/bu173j8/++xVvyX0Naw3z6a4g1mg1BzDA1skiW4cSRdlIVVnwUdXDj7EokQPkkYYsUp5mzPQTZemvOz5DCa7tLbCWSTA/BHliGhGiTVsKhNCJLMnemswQEnCPnaASHdwx4fum2KRFJEQkhauNFQm5m0IlYaBHJ/Gg0sIsTAonECySkcAmHvGIbCWkgwSAMg3TgIZxjH1oND4joOMeykh6wyV0VsO0Og+BSDyEQ0pvCIadTdOwRcismbQfMGZUUb9ue6CIPsDWE+C6Bzsh+w1ieJLgDy0yxlVNBi0Gw4VB4krjbMSF5qAgJACzdCCk24HSqwY4IYBLbfmYDx0TylVTRk2Vic5oEH1EQxgbYgvUM2kVk1njNUGBKMkzQuDTfjVjQ4hQpFWYuSjti4Y0QSOj48tREchWSLKqgZJRIHby2t2JHlaI0a/w4KiZkFIFfd8GbBohZHRWFQEtKqOgYtJEJBD2SEQSAHDjpIQRjD9Zp0Y5TmPYKABjmA8HBG1tuQufpmxRVDrQIbY8UFAkwWAR4QMWMZySFQkrRcEoxkiEla8OJMAWGBpO4RyoipbTFw1zJrIQLPAmCEmq0YUVc+qQaSsILcCGCj4FU8QmXhInSCJOyQCIRC0O0RmY1LpkdE0QSRGWSSH2isKILx8UEQMOwJmHEkRNFipJ50gypEqCzvS6kgxH7rW6a0tiYqzyZJrXYsa8s0SuyEK5gEI+F8JCRh2IkeFXC4G3ImapKlcFuMAtLHgjiNQ7xiZupKOQAwBPPzDZxIRwjxmCYyTYpUzy30Wbq6/qWfXdZO/G4Q295092nbDs7lXbfef1zn3TsSQ865A77rltXm93XjHxyoxsaoSam+PKxvMva8q7zpZ123mn9U5/w4BvttM4y2hpfEPe/2Z4PvNdhN95jZy9v0IbdtGF3Le0gNxA4qW2e/xeN1FxHNiobIKMYNjSO6cbOOJkkfKI0hbSsspoEoUUbMOTUc0jYj3rN56zWVRu3vPXtn/7sl3+qpZ3dZjLPkdBQXlICP9wW7opGRREJc+KLwTUh0cScrds03+lN//KFz3zl+3hWw8IDKxuiBCiZIIsjRKTk0SJCzSIhFzQQvGMUQQ2hLTpKvuqYBX+liagmLc38ze/94gMfPX+JInf0GcMNU65Y0lX1+equO9UJDztqv5vshvGSW1PckozkRCKuzA/fAlWkYoZo0EgnLCLDo+IgIIQRS+UuUxxw9KIBR46fQIcTCNnMmCCAYKYviCHFEAk93itJidy0gOBNoy14nFWC9DGTSg830NlD1Io50rgqNSlah4BG7gAV7XASoiJCpcKWfYk9515wMYhbsBhBRYssKSNEUEUFDE0mlQG5WKs62RC7xO9OQ+eOX6xgcNl4fouIJIA8u3eulxSzYsI57hzYCIGGPDGJgkXmR7iElwKLMM6nK4DvoWTbdOTEoGsIw4aAG51IYzXzoEFWFSwdMD3M8CnzAy7dTJU7yQpNhwCcrgGruENOv0EYVeT4SxQbFQR9isvRQIOC2K4k3wHLhIHSCu3wHAaieoJai8cPKX5IgfLgmXCU0pHmLFlF7iTC0YCLaW3zHKXKgKOvrKioJCEUZNKQBtWTmoghjoBDmpzH1gUtGgrM0Q+oLNMKXwAGBIAKmcKVxIIxqUNDiGXYDAKtzSSaZWY68eOQvFQRTR5RSJ060ovW3TulANB7RGxdq71t4Retdt/9jzrhrg9a5leNWBG7Azv6wENPv9/jH7jfUTde3WnD1vyfVPGLK13JUKRlkUuzWh8Xr8/a2oa2ssFr63zjPfY+5oi77LjDDhrN0nKb3eUOdz7ykDvuuH6HvtzmO7S+7JGu0ApPYzR7Nmuz2ay1WcuMQChts5g2c84YQh6iBFhIKAQce6W8EKIiMKHGQbX5qAyi7F+14pXzvvuF133onKt8/UiGPQXB3kI5hpbHu7iSKgfJIWezkYEBYaKo+pKuX1558yfefs4n37lZ+Z/b9aKVQJgBVjixoSuMFJJZissRgdxU0bqPTAR4jMioO92gJYT22LZsuiUxOGDRoJjjTMIS1lhC4buThHjLKUWAT2+gAVpqsMLTwpGwH2YOQUowoYZ8OBp4ItFRjA6WDhJdCIYIHx0ebvBMxMjE5KBFStPmENFjx4hnO4QETYdGTccKEazxVaStgQOCkttAOA5s0YNEHRno+MpSIKGFkwWVZdoaaOR4CwtDmdgSohEOASR9MgUDEmM8prwoYDwWoIMwkTJqSFEXWy5WCcj4SgwVWrTCpQSertEgeHYVWbGdxS2s0BIlHgbDH6nw5NhkOrTwo2NF7+OJrSl4IRhj+CEEq2jDVIkFQBK+NLS8Ohe1RYEkJ1oJPeqTMGKflTySA8zUkdAVJ9IUW6ZJcaKcBhNhQ8XayHEn27K4myBts1EIgaXO6BM6l1kBCXFGdsRKN5KghmQQSJBNUbYnH2EgNdzHVSQiRGj8kDvWykLyQwAfEwC5wFHFaVyihgULgR8I81KqERYmMGg0zPEClT5U8FgNLJ4hF53yYgcEFWBtV3obZdEA8BR16gQjO0LOS2VbeZtJ7lZaFd9RIItGIqAm15xB4WNhgiFuRs/XKfDYTjPE6IatIGICITzgMKcS10lJSo3QxV2Bp2tbKwSFgcstdwYjWOGGjjD+wQ8ZEpDVPRokikF6m5UQCmyJRx8mLKfhWHrwTICdPXKWPR+MiMCQiIEZazs8Ex0WJ0gt0htyu4lq1nJfW9p65S123fr0xx559zsesH7Wspc4Ea2V9tl1w/H3ud3zHn+Xx9/vwL3Xb25rm9XnVXwkoRee6aGmQcbzuVa37Lq0+Y8feqf7HXnr8UZGOpBVt9l/n1NPOOYFf3TMw46+2bqVq7S6GVdknfQkTlCjuW3LemJLZItacpCVLVQtItsaVUflBgV03JAm0G6mC0w40SYzdokn2MZJdBxKm1fmbzzn3C+df5FmOxWpJACllXBc0xRbSLMht4jGEN7J14XHGGWR1a6+zm9//9fOv+AXKXS0CNGRvAbF5yZlwUpIS3gRobh18KQNU5JtBgSSEdJaNGShbItkQlaZrQR+xVXXv/fDX920ulzcW/TFDkktfYpFFC5c08rd73zLexx1yFIzf47WCJD8bJFaOhsrfFdZFs4Yig5XPcRQQgiAYOiygULYlofTQM1dpSNXHGQy06AjzJDsCCda6IrMWYl8gywIVEPsbY2E6CQ/Kr09kCYwWOROhljiCjGdpDGio1eBQAlJTKOVuQawAr9YSuYnjFhRU0XQmhpVjQOHI1bBVB9cJNNAiBhj2Or5b19DVHG+dtIuTHAcBMJJOSySHhCTTpxQmSjZcaobIZJiR7JHTJxUgKDoVUOlMk0CMeUNR5fGOdkQbIl4aDGBVXFR4wedzRQZY6GFmrppw25i//c8onLHwFj2pLQXBGwCsGi7JIKMCLU9lh2AaQKaHO2m0aIQFoSSKNK03+LmjJ7UcFMVAn02BY3V6JCi1WCIN+hwAx4tMfEaFVzcxAPfeiIhbuGTfDgLdMVdwlMyc2GYwGBEJi4JKB2h0gAqpy9DmabYEZc+wJiUrGgcA2ksltk7p+yckIIuZsnSGGpQWBVhq9Q7ODSlMhLx+VFK9szhySdvdpYSUOB8fai13laqbaqdNy499JB7nHTvR++1bmfyi9vYCWLnpfXH3PKOp97rxOfd74lH7XbrHa7zutW8TizcM5ghXUBFCVMzYs/WtOt8/UnHHn/nA2/Pn7XARS/tsLTuuDvd7cyHPOmsR55yjwPutNPqUluTU1eNgDLOZN5Yrc0av2UtzdpgjCxdHg20g1RkVMKWpTEXBBsnF8pCduPLmSA4tuIdShzzRFIuitFb/+bPvvNPn3rP5Vuv7DMNfcduOJF5RunEoNo4x8voFkUiqoofKQEz842l10yrO9T7vvLxd3/h3L5cGNmANYhp5lDJTxYKW5yDyG4arvGpNDG9hB569CJY0udmYlQuidcPM0InULsBDOVhZKxMQODsFnAhp6OEEY5CRZh1KKohjgl1KGxRqArnoXEnQeBMo000hraCERVxXEsIta31bRyqCl0AsyGPJgMeZqz4URaNeYpU2zIZwmht5kmZTYpbTZpET5diO3aXQEqbiEJIINcccxUp9ChFgdRCdXBDFSUjtLFKOAJhIdmWJc4KItQYWrTIaptkEJGgjGuWdKyxx1nB2W5DIATw2s6gJXREUCyTAhgmqgWOHaH6fzsnqAAwWVTJFl2jmZlBj3+W8DZEOqOQFymqCw4CwXi2EU4SLP5Xj0IycWuQHnba1ibh4GxSHhiBH1UXDQSZciI8d7DpuJikMI4FWUHSYUAOvBSYFg3XZJs+PViUKZ2aTeUfhirbogu2D0uIMBPtaRfExs44c9wySXCs0SrJJusAABAASURBVEgtMC2aWXOLWNKrItDAZ45/pRV5x2NovCOnD+b/M9mTjzgBOunz8oVi6x4hsK7gqCNPLJuMTRMiCDr6sTHzu0RHzPsD3hTZearjiusXX8g8kpO3JWg1LRoqOgyv684irsZ4AlrgEWAl3BbppFy9QJrWWpMEwcB/CElQzGTDTipJdh5hhIPm7Obllr3GFrTLAWGGlYjN0s23b1YREdgNAEI0kQ5d0K4QmnKrKXlN3jhBAlnWosDVIcXnIyPv4t4nPNKpKw1Ssnucu2ar1+3ernzcfQ/4v2c+7G63u8UOS01TYzsaUJmKrLcOudnuJz34Tq85/bi7H7xzW7mGF8oEZJ4+nkFTgJpv9eYr7rCPXnzSPR99r9uv56KJkogaWAbMo7jnTuuPPGif0x5z1Bv+5CF3PXB923KlCx+inC702TPQakwiPFZ0pPE/ZOXkiWp0chkl0TQLF3Zp+vTlJMTHG0AJWzYzVsUBFDjql9Dl2b994L++9q1ftbZTaVZkHH/Tr4qFbeEjvYSFyWDE3e6AK8wHNjJiFxiqj2726yvW/undX77imuutblmyScmARAMnkUqXbNyKWgHrKf/YDoCaDlbqaIVWo6HBBqM+pYibpmSFllQ/9cXvXviTK1tbJ7KKbdx5NAoTDMK+uveN6qQT7rnDuuUiX3HPFJwsyZnk8NtjKS2c0NpNnVDsFq7gbGxaMMqONHY5Tc22zIzWdh9ZkTM4JL2YZOGvaGEY4JjpKJQ8ENCVNDGYTFWkiA3dwdkWT1/VzBxGxSm2aJNmTBChcTJUiVawxR8VNJ6aiKh0OVFiDYFZ8DhRsWdjxKBDSF3Gg9BybO42bi1+0l3ZNE4Jr8BUdpMhB8FlENpA8WQ1yUorlp4JZruTZAlamJMes8ONEGHGAJ8eBeXU8E60kRiGBU2qQLCFhggko5J5+M5kzqrxEOBTbhjSkWMazwNpGwkXH0kNmk12kTj2lEVCiIEEMa1BwklIYj5JHRM8eDRtyxkMenJAQseWmQ5qmocJMal98pfRzEY1ZOrDpOrDG07IEytYo0tisnNDCIG8wFdyRjRYtBh5ssKCMLykcjOE0Aq2QApSwgnOcM6R0Us1ZuEiA2NbNm/skTMeWpcxLx4EDgIKHFUFmZTRDW11QxKLpROuJxRgAjQWmQBVFl7gOTIwyAkGC+3Kq4zshjF762woeEDNim884kbS4LHsEjvl7mBWvfNPPLNr5oesv9lZDz7ltGMfv/+Nbsy1AI6WapBfXJeW5ZvuuNuxBx79yked/tz7Pml/77F+VTMlgmlJkrglymRxb9Zvqjvvfeu/eepLHnCHu+2Y15TikCE1ece2fOBu+xx3yJ1f/KinveiRT73tzvuuX7OVtm2umTyj8S/4fGzlT4RltuDU0baaHahpEmFZ6fhmTheIIRYVyAdQQSjbTonIhn3NpbWa/2bTVW/7xL9ddN2v5vlnuXlwtvjJXnjNmCa5wuK/GUatVUQSQOHNHGJJyCRE81abl1c/9I3zvvmT/27kj2zyMggJCG4woLs4XqVx7LhqIgo+I2FUTf8VIacBhxxDydOsIq7K8rCxoWRF2jVUUiGs6szQilBEgQ1OtGJLdO5aFKXCA0mJPJppQDSZZXsIkA4PkOnQymqAnZtAoaokWGY6vkyspqklTjygFyC0Qq2puSO2Oj4mQeHKxGWJAHdILExiBGvDkbPic8gbAoTZiEbjw89GiBtZce2yNNWM1c3GA6IShNv2HRkww4hdkmzxrZE5EmEjT9sa2phJiQI2EdA2D0K0EB4OYehd8cKwhJhJNIsUWDtDDidDJsUREJoKlI3U5lVTMjHoSadQA0NBV2rCCh5M+tAioUPayIqJhb7dFpqnA9bGP1z6YCuUXYSQyJCOHzoSZrQ1tBimKylFGJ1QWaJDSAKg0SJJimFM9cxeURIFLrAwY8gJKqaBJ6glZroACEW2LJyMblwJAKioK2yHGnjRhptoobvQQEMq1kyGJVk3WWaOXXjbxBFC4d6S2fX0RS1MdaSVZCCkEDjEmA5Q2GIgrCQUiJpGy8aFROQ8FuWFFSup2Ls1tQYDhZPigIy/NlSEawgNuJQfabrLAiNac4dECAqWGHxo4B8JpUDo2AZi1BmhIbMlFiSOpGwr+0q4wge6dFxFxTNSwOxmPLMHvEYuWoXoECK6bAsQaKpQ1TRTy2e8Cv9qmJYkRgUKGC59oRUQBlcFZ1VonKxY0/twEkqcOtrtnSd1Tg7sGedV+OXFlYLhqQpflkgrpmHdoErCBAA0L+Oq+GSnJN5q5ejb3fhvnv+oJz/8yL13XrdkIOnV65rNq1/47i9+cPHvVjoO4od7suPMt7n5bq887QEPvedBrq0ohu+sCeE2U993N7/h+Q9+4wsfe4877LvDMt6SCIirN61dcd3mrQNnuzXvtDy77U13fdnJ9z/5EUesn5FVxCBZulM7jOnYMyMsy5YKF6Dy69PgEbHaY7MOpxotVsXByHzbUFrDaxWfjTCuhhckCVVFQt++4Gef/fIPNduxms2FE3pzkoDRV1FGJGJJF+oCV0pxUl7zecidakaTFIgrjqTa0g9+9rt/+9DXl5aJPEdKdhgK4Bi2bFSFsaVZg54tjU9qXOG9GHgCJ/MjyWlI8dRFWIufXOfim5SXZvrxL371H1/84ep8mYzBkU7yFRFEq+LadPMvKivXPuupD95rj50xK3yg07RWFR8/haAsjdpqbLuQEaloKLri3Y39GyluJTwEme2BcNwWUgHIIraHcWBsT2WztOY09LMWjxCW6BrNLfp2gwAK0awpkVSKsRdwcpkkmJqmyG3ZFrWqqZyY0rsFFuC4DUJS7MVKOBXa0mjkrAhbk6VGt3AHjMWzhGyhTIBW7Ell0TLFtkybtSZh0prFjw07VcOW6BhKIRwVAs3IpoCF74LgQmlb4+jZ/nSN8+W4ivoz0BejpeCWIaN1JwpnxB0Y2aAt3MZ7J+sqcIwBJ26DoDfxK8HkQ2jJwKMBJzAkksYS47iCnLUIALPxzL/HgqIjZN7ezflXUkKCqgZN6I5MwhcTKtuic14gqtg84CYLyGSCttJaMMZksiUNaAl1tuBsXDQInACGRglLxyRVEU7zEYWEjjZdOSzlBIpzCdEQk0USbZrJ/DRq2iIHUhYtLhdLiavSFBez1qO1SKcpC1/hS0U4t5nSKlJbHLJAWU0SGxQiqRu9MOhMSOkSF4CJmWuAHAPE8/DCN/SwZx19eupLtkXaJWa7sQWrmTdsJPJspb3wMc98yzP+/KG3P2bPZT4E2BHFmW+p1Qt+9T9f/NH5V2y9Jv87gUqS69xuvG6Xh93hHn9870fvuW7nRpK2JOM1fcbvFcttduTNb/PGU/7P609+2WH73HqDs9959VX3K7de89vNV60U/4ylJq+vdpPlnY47+OjXnPyCw2528JJwRVKaWpGqbDfPrCTFTZIMmW3aEynb6rLEKhZKkTkwJHYYGy88uRiGFVUs9d6Lt+C69uEvf+Lbv7xwvqTujkp40ER0PkHYomyRDAfnWWtLni2pSWyLP9kp6HJ+zZYl09DJuQF16cbfnvuNz1y1cp1Q6X83L0RE4rmNjWwzZDJYUJBYDWU+5krOvbKR9+CaK33aGmYVBDvjASo2i+3UTUMNY6pp2du15O4h5yUJ3VpTM/tHyDOKho5cM6cVYquEB0Nqm9OJhrVDBgwjl9ylsQFHAB4RHnJFt+VQNe+10Iq9EIR5GCE1t5FFDUKiVjZusY0JTtnoglEwSjPGwDAZic7Ip4RMkcjNA2QWNxDxikqQJSSsRlei1UxsAU4ZCFKbibRM65GJnLO2TEIx1ryNa3Ic3pkqwhCmpJLYUOJwE7VowOjCVRbhLfujYFJoSURFy8ZLvY1qdIR0FKMPrWh4iHcbGDQSWGgIy8xdw0BCSO+DIBZSrsLEQmNlk6vwjJWgnUZhRQIhM9DSczwBJW18WqJrtI5rLZxAYoN4Igw1gHgIqTDOpO2NNAYdiIXOGi6YcCLF87xA8ViIJwMJgGaJLmHWc8HUDEkXhh40xMzctJIEbUUrdUdrSWNwcSHA0DuUJChhIIrDo2OzagS0m9MkDpqSxGEGWo9DtyW6IhzOEHQtmsFEKYgAEBfIIRJENolMlhvTNpZ0CCWSsJlFfgUVWYehw+VckADAjBkjdkFOqEvjfo5qRoho9BFFSAiGAKfQ8ZU8K8IQQ4CaYw6pIRcaRmYcmKZswJaaSVA0VoERjdDNhJP50XgD8zoDV3hlEyV2hyPRnIHjiigQtoaJMI9qkoIZDlgR2p5J7poNH+waYTFytuye8Ak0Lz4eCiAa8UblauB7YqRRI2HLeyqyqvmGpdWdl2u5eI3mFzFJc+lXV295x39c+Jp3ff3s933zvPN/8btNK1woVHSrNm1e+eVFv53xdoKf0rZmbkj4DWGPndbd8cCbbGjVRCNtY3vZ1ZvP+eBX//Stn/rYV//nZ7+5ZmtPusmHlHqtrOR/Bpg8kZAdM8n1bZtXCS9VUp+scJvOZsSgCzibmnM5gigs2TdCbLAjPq8b2TJ2LGNGpylYdep47cbNn/rCBVdd1/nVSHnYUlMJlIEprUyF6ITSvK+t1JzelVeg1ThOdkxhqzCiY1wdJXxb2vHDn/zOd354cePXIJlW5NgHyFS0cFI1VYwyIC/2SuASMcmGGZiQmFwRVmBoFVkpjTkwy1tW5x8971u/+s2mtrTc3KbLt4CwIyKBJcB80wkPP/KuRxy0tkrKFm6TM4FQi+bFCpnuMgLyhXEaVpC4IwJWikzJT6IUBTWlWXIcVwWtzCApmGU6QmpnxgDAAkaDZNBAqHh03UOAmupV9c4imThxSiz0WAUGBUxpkQ/nVXOyBIAEBXNp4IJchJgkRbSKDX4LKDHYYmAIYlJExgIuHkAHxABsDxHnA4+hgHYhlToJGCmXs2vYcnuqiBQGiYkZPW4qQyhLOdVOtrxTOoIJCzpOORIA6qpZbIf3eKC6QLujFNJoAyjocibUAMljXuPiDSF7GvJOQ0sv4STJEDBaq/Oj4aPhB4gSYEyRAiJtqZm8xT2Qos+DIVoxWgQmJcvNCMKjaCEVhsm0bJcFl2jJJI4tW7AIRU50MjYcWxE6VEXJkYtWHkTFospTuIFEqaQHPpAaK7CsGQiJA8VMD5xqShbxI7Bb46qleESfLMsccnG+SDu22UDh2oCzqjo/RX5oEcqEITkLENsvmmoqvo0AvcU3AtRKY21CGHpKhxlHBjRKiScFUQ5FoCoXBo4VMguikoUSa4SHEgQKKZWUWFqzrdY0a+znJjvsvouXl9iW8MBnRL++r3zl5//9xk+985X//qazP/Gv37jkB9esbeYVnJL0+crq1ot/c+nGrUg6pRENz9i21paXZrOlW+657x1ueutdvC6/jCSTWvX8f6685Oxz/+nPP/jm8374lUuv/90a/6QkN8/yi8ta37xp80xOeJI2w+5BAAAQAElEQVSluPLMrTm7VeSuZhmdUCLGa0o76qDGwaRHZYOyPBqmyEQDzDzkTTLdlpd98bWXvfezHxYfadz8ikLUVTRc0yGIaM/trX15xevXltevLs9WZhq/MJJhs/HE1mUbOE4sS+YGLelrP/vuf//yh7zltWhoBpUoJFVkU9kWJqzEUnbCczsOtpwWhcpABBzzCEV5bKZ8abBkDn5URaNVnA9qmkBIBgtGKtl006AVgeCFlcqokACeeGjuFPPQMllTq7FUQqMNuLKOATVpAfdFTBA4z6tjqCR0A2yHigneNRomg3ZtK1Fx2SsY9GiZsUUwRNgjG2QUEH14x3xRiCJ0FcUtCgUGurDiDSh15wKP9Aq5ClKxx89cNbTIC3zlLBGLBoyZXpSAZTGDlAxWlTWERqsIkU0MkQZt8RR5JCAVaKTpww1QaLQdSpBjkB73JxwsZUE5GMkIxBcTPHXSI8bCIVQ6APEKmk5EIuNFmEnSTHFKjlElBAOPJFjgEikLSQbhyASUSznI+MhwET6SoJKrBgHeBq6pmS3jDejgsWGd5gUxtNATBBW7SyxEky0JQZNgkVIovM/sKZzYHDTGWDKTiDXMSS3HPs/mkm8KpRA2tgoWML2GNP5TgSjYA0sQrURQ27iMyJmIhFAiPU10ASPeBIIGVjI/UcRPSXAaZuxnuxgCBTvGOjQ4gmk0vNmDGkrUeCZfRB1HYeCKb/sKrvBLMRKNo4HDK71wKcYCDhJJGNOwp29zj2N0Ssys5VyxwhkYdB5BR23wp+Biqdxs7qYb+mDiVwk5IMadg9WiDYcNCcZDZJrgLXFybZiameSZEcKMDLIKoFJ4JCMLDViAEElbafFNOhGH1VQY1Nk5piiyEQSCpBtnvLOYQXBlhpZ0cC+RYJnoXl2b0xy5ym3TWn3jx5e95cPnf/irF29Zt+dPr2xv+8SP3vzhb3/jh7/akjdKW1P76H/+8Oe/XS2vl/mhD0eZmtw2btwiYpJREVSr0o8uueqfPvbdz3//mu9fsfTWj1z4xvd989wv/ejX12xZK8/ln19+zX9+56LVviRyJlNmtoaHEg98jf30XsMfDILoslB2BAnGAkI18okDdUqHQzwNFjLnWR6fesKDDDggo6Nf+KNLv33BpWrrzKmr0CIcHfDUhbfib6/zTfvdeP1Rd9jr6EP3vs0BN9p5eUXzLYp7XJGJ2DYLXSTFQp6arWqH15/zic0ra7yqOAmiaIoxdsL2lEZCoDtHh6+ROZp085grRAmvECqABYcZAYmP16g8839+7Yef/+pPzT/QiQuAJ9vKzlns8FLNtxx56E2feMI91/iHy8kPztgFjtFCZ04gCYvwoyhNaSSIml7qaCOSzFaUNiTFLqK1EpEIaJl7efqX2cSBr2kbUca0EBcmWQoGGfPv9cQkGRKoPDPBQKc0HTFmWMCly6EXwznWIBe8NLSRhCALKhQhuzBNBIpJ5UiqulIaZJXWMUOUICSAp4QesYHHkoTNYSBCD3gQWKp3DrKLcCgKy5YpJkJRFc9ohbSQksyA4q9ikFST3AiDUGXjhAigK0csOxL+DIyuLE4ldSJzaFXUEPiSQiPR1BABd5rKYBBPMU0LIyuuPDLatqNCozENooo6FUEJOHD5XK40R0IQgSiknTZ2gDymqkXDGxTVgNhuBKGRlbGZCHIBh0cTjoWbWVbhK0PQlFTAh2fEQgsOkdWGEGBghUZpfRD4A5Pr5Am2yLBqPIUBksUQ8heqkUNxUOJzOQyegRSjs4nE5yHk+sQtwoRwDc8gSYmZRONgaImyqDfO0OGoD1PjyuZrXCFCkv2SxGA4eY0GwCIE/rNUE2VqiEAqC3FiL3hX0BkwRCLHhFQkzjxrbnbDR7v2+uswYz9zzXnfXb75mg9+8zNv/cx7v3fFz6/bMP/sz84/++P/8u6vfPwnV126ua+suP/syku/9ONvbW0cdmpJOHqctsavTp7lN6yETGQ+BXR93/r1n1/w5vP+7TM/P/+rv/nhGz/37jd8+l2f+sHXr+tb11yba/WLF379N1uuFoayZI+JlQTthkTiGjCEyrLEMENiogjWaBY0kYMytUsNImpMElqhoRIsVtqS/vncd125di2lpDrcCrZUZSAVCgividlstd1sw94PPfT+p97/Sc950MlnPuCkJ9/jscfsf+cNW5c95xZtc88ZxrMdD3HGesXma770w/P5R0JoKVGLxIAorXLiELw0ck2wmffe14pf5Bofn51dkwwlwABbsmemKtJEshIUhzm8ookGGyHIlIJw4TiLyg0vceEGiG9LxCMtEL1GzsVxVgHDO6GHvxrCYcGk4HErgkgJIVrl4rGOvhAOYwSwZTNDSxOBT0hS0miwoMdsBwkHkn1CEMi0CWwZAqT+FyGFFS0GJJyEXJ2qYD7SzdqjCXI4GY5whXCQ6izGAXjEzNkk1cKUWgGDEOb4RbngJzx8OgaxxD2uJLCCwC9KjEv4oa7AEIs6IwThIQg61lWDL3mx1qTGBKpKYh/DSrjNKKDkMfWOkNuCk2EOUMquCskNBLUFh0VynepUw3sH05twG3O0wxZe0OBRhIECDzUIpqHNxCBflKaNGAoxUYp24QJjgOlJJlxo1hoAwhe5YEcvxJOtBznR4LNbhZvESGocDzWq5MDEAoLdV8oiBa2EyDaryIjB3gk4vEGOji/JSEd84o4QFR1ThJCACKGEU0RMYhSXCfjU4UUU5NSSmY4CCbcUHcKKvib7kMpEVuw/sxQ+BgksWhOXR+ggTFMAcpIVjWSZJUy6Fq1ETgAAqdAQzjTobYCxkYlJnCgnTiMznIWtTOhsTWFqlJW95GkjXNxkxIohk2pVjUAEjXncl6PEW4nvRZFIlm1RTEjjndJ0LXIe9jCoBCjftK1m6IKVoMQnNnj4MIqFRcNNIIOOUGTuknmvilaWszDoBaLEe5m4hYqNkVCkPHZsEQiew6cqfbBWa1vntXne+Y1oa7WfXn7NP3/063/7vq//1/ev2lLrV9a0OvdVW2af+e7v3vCBb7/1Q9/4waVXfe0Hl537pZ+tzm60VbO18pq9Jv786DLfGhsOr9+6tqX4IPCKfPHvNr7zE995zTu+9LkLrrhuvn5V67e0Xf77oi1v/48fvuHd//WVH1x6+aa1d37sOxdfOe9t3Zrc7Xm5yx1vJZNuFfkn5UpjkxoNRnkrFZsSiIIY8G1axzrKClFKrcqii6I6PJ+eMj9qK6trn/2vH163ifhtsqkARTM8wXBQvW+97oB9ll942nF/+ryHnPWMBzz/GQ94+ZkPfOWfPPTYu91ih7aVT1SZk41HEo6djDlToy1t+Okvr/78V74/W7aNjME98NRam7XYhkMnlOxGWeNRyHuzRatq2UYV9w+WMOKmUgO+XpfcfnvV9ee8/VNb5+sKVfGH5qwW7kzDoriitbbPXuufcPwxO65bR6qTXI4yey3A04oo5pMCf0RWcIVCmNmyhHPSYQEh2jAxlbSjJUI5TbaaPEMIZAFeMMih8LQQK4hSRahFi2hBTovTJDAuM8e2ahBjSuQYjc0UiMJjQKJVvirBFw1ZqgKFcJhOCkcqR4Kus44KJC0IlCNhnNETCKEQEYbFSDg1pRknthsDlhmBtp2gAIr0FmIHIbGUEI0hOAvOSptmsSQUV6IiVfVCJJErvHmvQKvkDiu2xsCALiX5Cpx7O+Glrsq+lbYggKGlK34KDduyrPTIRItYyFvF4ZAWMtLVBFPaYOEBBmZeVvELUNsaEDyHI6vgQgrp8EkG6Qu64kQLOHQl44rAQ1iV80KKjzYk2Z00tCVpkklqTkPLG1fUatjkKAu3ApelJhPI0XFeERm1yKiQhown6p7Q5I8TG7UKt4qHMOoEGtZFzugLbwjFo+02EOKBDh6TopHbNBOi8FjlWOJGKoJEGYvgEKIbJw5aoMGMzgQweGJKQMYqgjCmKjC3JrO4teal1mYzLS9dsfm6jV67Xis/v+by93/tvFe+5w1v//JH/ueaX63Mit+FmH9+/a/f+43zXvuhf/zwNz/7k42/fs+XP3bRtb+ZNz4I+qq1ZvGXuryMePiX7FnjV4uN85XNnm/U2oWX//xtn3r/m8571zcv++HKeq8u6cra/J+//M6bP/++1374H79x8Q+++NPzP37BFzfOVgqH7nPx6q818XZL3qIY2Ze4/ursXarMbMtsdtSz7LEKIR3ExApE4VU2RwaKs0Nje6CaLrvmN5/91he0XmplyQLGKikQwgJdnvvIfe/wksededajnnHy/U58/N0f/sR7POrU4570ssed+Yon/MktdrpZm1NPujWmuHbF3ZTxUn3pwm9eu3UjWeUJLPQ4ZnYXscInb3YVcWvz2a6zXfbQjfbwrnu23ff07nu23Xb3jXb3LjfyTjN2Y6vGqOqpSM+Kdzx13OJodKmzKxGDbJCUBJ2SSKHhbCOKs2xXFceiseI0hH+vwdMNSjbU8JnY8cbWFfGkEW1AWGViipmwpCiaB0kIMiuaZCMj4eFToyEfcDsqRFkSCvKG7m2SaOO2oxuyTJNpKKRKHpaVtl0GQY8omrjjdnENhmRMozahsFxkpBpg6sTqDCKBKylzSqRtbZxJGGxth8ogSoEdJGZ4ZO+8OiaCnaApMi6RTMFstxwIBOmTMHMVM11KBcgsNtug9tAQgSsTu1CKNoNKD9n2CUEFUfEBs10xCFwhnzoowi3oqXjDbY2AN5hOFJZ4YKZDIAxBlBENeuq4wy9iMKYE1JRKTTz5sgUsmVETbEEYUqEhVEXRQkBlKRp5xmCRZGKE/f83Frqqhcl2zCKFbTyeLcMxtiUImUSIUpwB9xt1iWoU4kIGHyqJDSwMtmxrKP7fCavtogV88E152bRSj2v8VqVQSIVKE22H5k7NlWabpaTWIue9Kk07tC1lRG5aGEQsMIu+DSyJbaDl+Y2PfJkHgpCZHqNSmzHgbFkEjGcJWs57rwqz4YiPDYGxwiGWTGsUT1a381XBcsQlm1+xOjTdlkXrbBZi9OY0TKhCBLachgRDgOBNoPQGW1EaiQpRiROHUDRdFTKb5PPIGjXT1IYGMuZlgNjNLvrN6ke+9D9v+fcvveA1b3/uq/7pA//xnZ9feuXmjdetXn/V2vVXrVx/9cr1127etOWiy67/4Od/9NzXfPBVb/6P3169dcuWzV85/yd//bb/+MtzPv5X//Dx1/3zp77235f2NpvLV6+0fz73O3/7ni8976/ef+qfvutfPvbdH//q+k2btqxtvn510zWrm69Z2br1ymtXv3bBr1/99x877eX/+rULL1lbXfnVZZf/879/5U3v+OzfvfMzf//Oz3zgE9/euDU3uWj5tCD36VMwacPYLjrawUgzFCnHVJDitNgpAkBSh06RhUCoJnow6m6+7Lcbv3b+T9tsvSlm1XAuFgXMWUia95Xr73nkzd/46j869m63PfCme910txvddLddbrH3bkffexkAcgAAEABJREFUfv/nP+PBj3vE4cva6krhh7kl8zOciMZlmi3v8snPfGvrap8OhZNMziZ+M4iMEsaeKbQgSbig7T5dvImXXCSKAgdWIZU4eZWX2+vecu4V11heSiqcsEoe+9cAO6aztvawB9zxdgfu2+fcVaMRozKJO8iaDtQkkVAVAnvExDNLegxYLTcWscogJdvkI2ksJdjwFm1CNA8hfNnNI5RsMcZOs8JJ5Ef2gKTINDVDhyqJEMwsWFvDlWiRdRnHEmjZKlbbkkZZ7BlaG4FNDsomSuB4ckAgLLBDzK9MeObFJaR2w7MAlgs1WBgZAfvHxHw9pcx456tMsYPIGARW5SJweMDdZhp3O7RtWRpHxSoT2+FIxvJoCadEUZpdLVtApYyYmFeGINzy4tBoJgZ/wlB5+EFmW6SQEGAjR6g4MU5FQ5ZqoO3CZZMR4gczQZcmwmV1CYkkE9IWHRO7adEQpCuuG7OppG3h3LbcRENpGo4ViEtuOLdhxdTl1uTAmKsrrSQLUaMQLFYQ3T2EhkYaJpY0xuCAkb4Zyt3GcvvOODWiAr4BDUUc0VKIHNkkoYDIynCs5ijd2ZJkIzKt2Fq6IGBR4MiJCxLOZarnvNcaZvGQ+AIloVfOG3yDZofFKgpvGmkwFwo6m0Dc2VbhEYhJoFg7IrZYkC6NYLYhEKhQjj/PkJ3shrxlMkpKUs223FLb2tA+9v0vvOZjb3vOm1/1zNe+9M0f+7dvX/TDqzZeP986r41run6tNm6db167ZuOm717yP2/9xLvPPPvl//X987du3XrVVVef+5+fevt5//5O+qc/9PFvfO7alespUq3ThVf87G1ffN9ffeCcM85+8Yve+hcfPf9zl179m1qrtrWWNtcyf65brSuvv/a//ufbr3rn6//u3H+97Orfemtt3Ljpw1/45Llf/fS5X/3MuV/99Be+97UVrjafAr34g1NWKsHJlGRNDRJBNi+ZjVEQikESVMDUC30YVFikN83sBliaLem/vve1zW1V3G28W5bkjrZ41Quj2az7ljfa96zHnXavg47YZ4dddtDScom+o9fvt/M+D77DPf/PE599851vQh2FmagxVsTGD6nwku6lfsnvLvnpr38BIG4rDR1bAUSK0B2dGOThG++459te/rfvfMlb3v3ic979wre+90X0c97/4re996X/8LpT/+wWu9982GM0olSpxrXq+MuwvKBEqyhZIzRVQifWAiIlGrqyrTBIhRaPdC4I7sAhBRHCSnMTRK61IGWmJuVfRhAHoDy/WCnHoRCTlNlWsg/ADhzPHi0wCGHEsUEN7cRiohsaSNTwky2JYwNNtpGbxBHgBIJ9yEJEhgIg0zIVZuTCYQ8IbBwqKreZGnekYBTjygSFVjEvCGeS4BlSzeKGvY4tM3VkomGr7XnAI2fGYXqcNVg5Uyrjlo8U7FFxqlFYvCpziiXTiiE3creNWWcLGg+JGwAkghCbdSkJlXBUyO1IPGuseEEiPGdhnWELCLlRm+0IO5IRThA5sQDYjTdwCdYegcSXajckFaTwIFlu3HsIhDbJ1kQwT50Hg1OFFlYiW+zCUcZSHkCThpikUgOkMJOJHUHJkbG4xXi6Uy0q2RoYYW1LFvPoDhgBZhi5yxKZUhmLiMMKnW1JeXUypQpNbMKUzrLHsBpsCRhD3aSJB05RCsatSc1g7CYjo1u2hYlp1ARFCKfglUNWtMmKQ8sBgP1fHfTEt2kp0sLQJpSdYOXutAkAPWuV64xWSoIzNqu0nLln9gzGcmZXEFDp0BGGXAz8s2HL9OE5Z8+hkGkvZHQ1NQPn05RAecMA5mWBWtgKqES12F8VkuJAZkNou8ltSsBggQCl40VlFAZIoFY1L/HNCV2vMgtwZXQJXJmyhO8yP1FEEIk4IAciWlcv5U2fPQSFDDwzTJkf4JNAnZAo6FUdD1Kjl0G41LqWf3Nd+8h/XvT58395xzvd5rEPOeYJDz3qpIfe6SkPuu1THnTIkx9465MfcOBJxx34R8ce+MRjD37CAw494djDj7//oU+Cvu8t73vkLfe/2R633G/vW+6/94H777nH7uuXZsRZ6ku7fPiLP7no8msPueXNHnjPQx9579uceM9b/cE9bvm4Y/Z/3DG3OP7u+z32bvs95u4HPPKehzz03ofd7y63e8Q9Dn7EXfY97sj999ljhx13XNpxp/U77bjBJMjLmZ1WFTUrKsbu8L+9d9UkmSreW7iJbphvww2pEXQk5qTUm7CFk5DbS8v65Oe+tdpnsFTG1NkcmRYNURT9iDvc7PSnPHjH5eXqms+11mutK/+yN6/lNnvCo+927DG3mq9uJI0+EmYHVRxG4kKTrdv6S3+7+bvf/4Vn+J6PJCrHm2MG1snOoefStIUyLTsocrbIIzxuJWgU7BdD0cK09oX//N43//vitryhc7yRYkRwDt1dZlcYzLRy2CF7PeCehy41t9ayXRvQ6CD7IJBQJjKRDd1NokZLHPxiZY9tyGjZp2pap7hUoLF3wEgJ2+1ZKIk5SKXZeCS+ILBzsRJCZNUMATsWaWLYeDpiWekarU2Mt0kGYWLPbGnSWrI78+SAA0DPTnkqUeSeSd2jgSQc7wGJ1XEUAjAmKlnSpA08gtaYVWajhZLRoXPiLJ51NMpBU3yZmzw3KNTcJE22OEcUw6YFnYILkJuGPUqN2Ag1GJE8RFXEcUk+PfSUbrNlW2ImYfzAuEWMfeSQVmvonSYhrFmz3CSZJrTiZYcIQbPpJTFbKQxEimwrWakhnLYO6zQkGNIntLa9FZFoe8OXkqHEprHnOCwJ+0wKTRTKCIVDCFhJhs9WeFO7q0lCYJ6VUUOLbEUiUQwNEqVo3bbkqaGtsgcrnECqFtqSsS8m00QhgEY3U6Ob7RcsCoGzRZ/NufisUmqHw1I2LVkQMxzYPAxMbDZEE+/h1g2CXWAFpdF4hLImfrMMPQYhe66ThkhqYbinyJMF2VdxEJkW7/9SWvKqxSQbUaOx0BujB51g0OgD4NQAzpf7z7f++os//9bSLjs87D4PfNx9Hv6H93jEE4952JPu9tA/utvDnnTXhz3x6Ic+4S4PefzdHnzCXR/0yLsf99C7HvvYox/4uKMe+Mg732+vnXedzWZtaWlpeXlE65LnTb9evfoz3/9qW790l0OPfNjdjn3kUfd/7BHHnnjYcX9wx2NPOPR+J9zhvvTHHnqfRxx+nwcecc9jb3/3Bx989wff+m73O+Toa6++5uLLf3XJr3918eWX/eSSX8w1L83zVBW7LK5O5bEaE49aiiFRDcKGXnxMUCeN/aGyOYHBcGCsxQVyQ9p6n/Vv/fi/a10TcufxxU1VMctYIba31knH/cEhex+wNLe7rbwzh1tKWcvVDt/3tifc46EbtGyhJd1KXtJIVTzhvfq81Xd++gOePXg02zo3ZJBmrspl6fxNcdbbnsu77j3bdU/tsod33kM7766ddus7714738g78rvfuP5FSwhyLSpDnDmS3skSWlaScRyneNlvBKygu+0yyskwhHEaCQlSHyn8+CSFAouRsCFYYhal9oCV8UiX2hJVtIwDuUl0jRmip+ZRJTOETiNbDK1UDAxgskEBMbHQaGEzJwHI9LBStDVOChotndBjRiAJWLFJezvFWwWBCCM1sxFmz5ppzZrmoZRFOZCJVuFUZmkMJM0WplD0YkjcDCGlq4nWmM2qTJHKJbu1WQSDkSoAmTYm6otVCVtqi7JxI4s9SEQMKib5uDCGBjvMJFj+fZqZOjO3CGICgSEdW+R4HFhIQihCgpUsSFkxmdmSGt20ZiHIvRTNbjYrX92zkAy5IUTE+UJkAwVnW9UnzGRiGgoJ1tsMkU0sM10irKx4ydlo8FXCmTiO2GNiilc1CCQ9b0cNZDN8cTWrAw8zCgyBjHnqeG7CeiY38GxPas02zNiF7ZaIhMjmy00WEss5ZAlCgFgIpibJoi0INMogSySYCG0VplNW4UgPXa+JLoGteTNB6KLhoCbPdhlYdgIOFfeBmY6HSJpMg0dRxQUoU5JiyxrN6h0n2/nO22ACqApsx6QLOujFfdsGdu9oEyXKkUOFY2CLDXOfssMTTgJhABofpeLU8IWPEFgZcBdTo/wzVsG4mAahIOfEVFpJ4AOqmqIUvJSnwrYkUzgIsh60mkbDkCRCuhwqcwkkYRFTDsFZkvmpiiBQiT1hULQuVOabR+GisGX0AjC6u6DBsD1siswl9bbUZzvsc5ObnPigo5/w0KP/6GFHnvTQOz/54Yc/+WGHnfyww57y8MOf+ojDnvbIw0551OFPecThyE9+xOFPefhhT3nY4U96yGF/+OAjT3zgUSccd9Qj7nfEIfvv1VS5D7Pl9Rs2HHf3Q55+wjHPPOFup59wlzNOvMvpJx51+olHPuvEo5514tFnPO6oMx539Okn3uW04+9y2gl3eeaJdz3txLs8/fi7nPLYY578mHud9Oh7Pukxxzzw3ofstD4vFHZF0sUQH2LkTMpJvtjaELJLKVQfFHRV5+hctCjQFYWatFWjQsgLR0GoVlbri1/54dJy/j9p2kCJUpUqW82Nv+yq9tx16fiHHb33bjeaj7s4V27tvBe/dM3nBeHSkx9/n1vcZEPVqiWZYowQxNPUeAXNrtuk7174C24Lxx5YMwFR21AzJSyEDaVJIwUne6Y0C2WIMapKZKLOqUqX/ebqD3zsG3PtIM8sIghfSWLY4DPF0eouO6w8+qFH7r37LsKaSijNAsSEo2ZZabYbEIJAQQw8dcWGsCIquPAsklN0ly2G3WRBm4bOEtaFDgIyPR7Bpvfe0UUIioU9DS0k+DYqwUaMG8NEB0sSCABM9ILAdpih4tHcpirDD4SHgxI8uRdYRiOzQtJZNXatANDQBW6wEQUghB5ER0WXcSAc2DjR1Iwfg9QsSsk2L23RYmrB23BimjoUBGhmFCTaaINqtnOtYUBlXgwCDDQ1gSQF5CEaa5BISIKIUzGUBSxaZMzsf9Q8qzAURzHETGFZxMlKJCAVc1MCYs0VR6KiaELOceRBa4UarYSr3slaQtXJYsSGq+KaRYgcmCnwkELLDdKMMOjpQSKYhOROLVCaJmT4TZ5QYOgQxYeFAGLoJAcaBRxCxAkRy4VY8pQumBpweGg6vlWEix6/oplg5MTC3PHpGvCcMgTIZiAyP1JskY64SIdGlEHyvMpatMBwpW4uUwGkL1QqZMTpC35oqHPhRggbAvwwDwAS3v88/shUXVRTOIiuEDWG+OWk5ynplYaqFGcCaPW5cmjV5wQVjYXv1GtLXt6w7p53vOuT73f8Kfc//un0+574tPs97qn3O+Fp9z/+qcee8NT7P/aUYx97ygOOf/Jx9BNPPvaEU+5/wkn3f9QT7v/Ixx378D+438OPv/dD7nunu+4429B5Y2rOr0e73OhGj7rHg59y3AmnPOBxpz3wD8944OPppz/oSWc8+I/OePCTTn/wE06jP3vdVXIAABAASURBVPAJpz7gCac98AkIz3zoSWc8/KRTH/nHz3jUk5726Cc+45FPfOQ9HtDWyJ4iiQuWTWmwmavIPpzYJoWgrgWJqlOlUGw79cgASk+J3Jr4aW4zX7vl+kuv+nU1dQpnGtLoUqlGWVub1y13v8X9jzim8be3yn/WuJazScCES7xa35aPOvBO+++5rykl0YkjEx4Qp91ZEM580eWXqKnYxgCQeKyhcSgnR7bntFnTkug1s2YS1hY/+HQH00u9VyUYSqRV1TuSAik1N7pRpTtbzlaCn8dNZVLiRM+YyOA0HtThxaWmOLERYtNHHpFZNKZITJHwrHLyEDkVynTKM5aYiQRAh2dgIjXF+wSGXmgrTZhkzVjQLKOXZRsyuhGBCseJHamihSB5jeYRK+Q2Ius2aUsWQ8kRFMkPmokwiq6E78FQA7IimIAVj3ZQQl2EJBnIYiDVSGtBDx56yAxXOSlWbgHOI4l2sXspAgauNBoKEu7FkcNzT4MY2ky1zS0mqC1TZ5lVhh99wkBigNBjI7B0S2CrseqGllD4BR5ZdIO8wU+lIHY0IKZSt7DBuUc+wA4uuyP7Qmd2UqFjJQWnNFTUESBMD5BRVD/YqZiFp5xQJJWGK8cMC46E6wOBA1xGilbYI1gEKXsA8IY1FjisSVegGEPNmo5njmZImCbbyGHysZMlN55UcTbMa8IPUEiijaWDLRiNWBz5WCtHEOlUtPiJhPc8Rp19mlZz0pR5qLKTsjGgl25oY9uEVkBZg4x6gNhFwgvXeBoiLdrEIwIj4iEuYCzpxMIRscI4LQT7ZBlREi70iAvRIQweOXtQKU8IpXHOWx0ekChZrOEAoa3xwsIMjbEQhhVPsuVYMGJhZR6bHRCKhEgKLH4yNBo4FzoQIDFDBRvPQw8xJKzwoODiJgx2wwYaQ8ioyT33GXIImGJKGCAuksYBS4VlV0OPw6p5Xt9Vy8pLHLqJ+lJpOrXNLSIvjoF98onQlP8tC345mDpfyYtfOCiYhDe+bWC+5IUr/rC/pJqJv8nRIfiEKCSjg+nrJP61CHamSS5T6s4rKxeQVNkDebsEQQ5IYOnw47Qg09Gy08o5YVvQEvmKNqUmXODEaWg4bT5Qv3PhL3939RbNZm4ND4Cjxs7ZO1VutXrY7W56p9vuR7UoAoAq9wGtouApZpX22HnDqScd69qCufAuvCkNncpNbl7r7WcXXXHVtRubE0AkEyS+io3kowhwbdsimOpENHkXAXGGQZm88QVnBmcqqrV5de1TX/zuTy6+Wm0W+Bg4w8wDIlKt+eqWq4+9522OvONB87VCqxG9VDglCTwbnwRJZixwyaZASAOrtLDVSSMiDJAxG4PYqeO6Y4fH8KhiYEPQiyE5LQAQBS3oOKhJC4dE7EJpCEdnEqZatMFqu4moqt2wnRSgHC1+KSn5wqApMyknCGEDwWLkTs5Vg6ciyRkP9OgWEBYE2PJ9bZSWcLintsIRWrAQBMAPTw01ih/L0UFGjIcClzLlaKaAeFMFxlxSnI50Bh247IYD/DhajTYEJAszkVhHW7FVvCMmQPiBQR+PuFDIocU+Msn0GuZCiwuWieBEQ4htT+JSnOfGJitwVDgdXzCEY6aHYBRxxt9KIhKBWemIweMbS+ZJgdA0GGIAIilSGjQbQYyMDp4epXIcqCyKZgAMQeNIFd0gcEDBo8KMDkI0TJIbFJ2wAIAjCiF1zFDgBpP0+BgAUm49p+kOOp2hMfCJMGJle9jLw11PzYo7gRegSpIggoo+UQYiXoRUAJRWC6JgMiTwmZIKQ0IQBWKiI6ETExY3KCCmHqBGQ5oUM8CIK1zVkxXRq9hbHw2JC9vOYFfL8nrNNtTS+ppBrNNsuZaW+9JS/tu5pXU1utpS+mwdmAI8W5bXlZfxg8/5vK+t1XyutTn/zDeplqotFa7a+qJ7ndqyMGfGsC0XRFs3PKzDFSriQnSRUmWvYqIG7GSkv21Fh6JT70GxZ9iq3vlkKY1pWIKnKDVKVrxB+AibNf/u2qs2r25Ro83cnNaaQjGbViv9IXc7bgdypHIVT51QckgmXNKr9tvrpje90V6eT1GAkQcKSguwR2pddf015B8GGaJSXzCFAbHMAWBk3nJKCmaSQ/KeSUiMQNbUOuZz9glHRsCUNlwRnB6W4fHgQAwRaEguKFWCSEePg1CJYTskYPpEcjEQNqIDZUvMVi8hJJ1o8VpcLeGAopQBadiGCEVawp4RI6wW4YuVPoRDaRrCghkdL0iYZdPjHfVQMQGziYYIkroZochC21qRzBR4BIW9QSCAmBXDkxSSfal49EUbQk0+ASGhQywkgwptM4+h0gK/bcEifdKGqmhKxA5BHWMbPgkKQkKxyCBFL2wbiiQnbgzq4sDYs3/vHGGnIg83YEZZVBYg0TBBJUNOQQiNywjY76JGLAFEqIW7BT7iEYOgmlyGIqE4CajiEJllpeM1BgSDxxsJDC1ZlEd2qDVawQ6TFmgo8BqrSEnxDDE62Kx9gcAASeG04XSbiaLlMY826JFECUSyEuV0SWjzgTsMpbDJA3dYRz8kHhcbLTFAK67xg44ZD4sZMUxFzADF5xJzIWcwE4VK4STSLIjpGIGHYAfoAZqywNNJAx4WHVb/T+duxHiouU3gqck2SewmPE4RkiUsAHY30fjEhBDsFAAZhQUknGnR4pz0woGhxwocTpHVKCYuFAx+0AxueOjRYhKhTMs08iobepG/rLTCpkhCWKmQ9Ew5DwURRjm3AQmBJ9FsDpOVi5hZsscbXIuGh5LDMI24meCrEIyViQsNys0yDcFYkfJ2g8MJD14sCo6OhmtBdaZ0yKXQUIEmt5W5VsWXIa+V1mT6anmr2ora1vKWDm2IrQqBcE18FuMUD8xsvuZV806ppyzaStdqac3Dlb0an22acU4fdLS4gu0yXvA1EtS8cMUrIxV1pJkQ0QlpOU3eroFgQ9McD+YjeJvDSNnmsNNkx2M2dS8vzT73pR+0dfxbkGUp+lYOBVOs1dcvrd37rofsuH4dnik3H8NxXaSXE8SvaGx/rd/1iFvd8TY3Ff+0haHjDG3DxiQghtvSJb++nn+AwnOTLNpiQlJqxXsj3Y64QHBKCNkdEmRYYYNL2RY/rWjSzy76zae+cMHKavQlbmRpCohlOB5R1drWA2628x885r5k0uXO5XF5akobnkouGMTMUEGISNReQmfRyGrMrECoB2kwJ5jAYmxwqLQYcCEXnLZVDnGASqth2HEZDk32MZbw2wcSelgMYhwuQ2TYkRs/i1iFjD4y81BNEwIek5xgeDTx0zPBp5NEqsASzu74jgCOInUnBE9x6Bo1MRpFSrgKgRZSRSixkSQWH9k4ao4JjTRZJDASV/HtL1bTyO3HFjN6JQXkOFecUKeiKSr8l50URsJl3ILDRLQbtCMJmY2glZuMWiHGpR6uHJmLL3qFn4gkDSE2RVQl5LbUugKPJJeMSEMLEhGkWqZp4G7oa9KWCBEN7DYR+yFCYlbnH1jiA9G08Q4HMzIB0TVR1KcSWiIREi7cYQDDM8IMKieAOhp2rvjJwBlY7G1w0aLivVE2PD1ssQNUVLK6jZCNd3HiFAK5JyeV4Aufoo2zxzN5RmUqzmpQ1Uw6pEEUgIVRpCwFHjlqpyFNR6gBJWjiYWNGwNiEKsucJKQzSGhSwOG9UxuxB5mfKFjJQUqMDDCY4BqRYKygmOiwvcYxEURz943zLZu0ulGrm7y6uc23aG2L+hbX1jZfaUUPDav5inkJYpIQcYk3JY3Ems9rjV+35iv85UdrONzktTj02mb30Qu3W9VX3Jm3GqJWVCvxOTIdEy5NLXkWOG/yhCfN9FAIKvtJQHhIzgosBDOFrvxWFEcgBNoc6th6ZA2Ofs11162urJmCrZXnnKLGPB4WrgNnsrXuersjaq1wQJ8rtyQOTUxGmSbvtMMOu+60izyjolGY+KxETFIExGRldYXPUIgosJOazTHRJwJbiAbv5oAY4Co0DhcuxQ1mgxoP1/BmLAIiDBba5hapcWRbskxTFqZRBaUVfqVM1JL40BqtCakKA+FDOQYbIRiKMskTzzbeMilEaC2aafJCqhjHn4QXm00szMvZWMqEMb0QGBdEYmGmw6oWa2hgYwEwVqEjLR5ZWOy1TYF8GKJEPCIFC0pErMrFMmCo4p82ocINk2A0HCFFzzz1VsUWJDaCe0MUuVUIbcNr0SLMCLtYbYgxxi6259RLkUZYTDYwzLiFFuU3NGJS46T6giP/IZ6m1DGpAKsC4jT2CQ8AE/wOYhS/CjVsQRRK6kE1amDCEpRgAWAPCCodih4k2gEmH9ayh4UHYSm8R5NyXwsZljDbO1okGKPC25CHFJOVymTE0OPvfVAQsqUyTSXnZzFJtkYzDYbMzMLVMxbFBJcuSHoBdmhWGcpiISUT1zBwzHSQMS++JgARNBK5mSZpIJi0rRF5gUlgAcYrFwwhEM5GE5VdU/iiQAhxRldGPMuIgdOnYxESbW/5DKqFhKoPeXLAtIiqocLQsjSuARJ8F0F5HqBAkYYxMqpw3GyuN7kC0u83RLBtwCAsAESBxDMEnechtnhPF1A2jHPeiUZt/M87FPsVWBsnVioN1nwzNrQikEXL04xdh8MKCgfMZCxiDgiBSKw1vlULrTDhRc2TRHYxy0WXBxTfxKvqHbUspDgThHK3LHwiYGVGzAbVjDAK2dKYWI2w+DcltFXx12tefJmJnapX+8WlVz/75ec846zXPf35r33GC+ive8bz/+bUs1576ll/88wXvvb0F559+gvOPv1Fr3vWS1737Be/4dkvfcOfvOJN7/voZ6mNRsN/7/ihTtXX+rUb197yr+c9+czXnPTMV//R6X920rNe/ZRn/fkpz/6LU579f5/2nL986vP+6uTn/fUpf3L2KWe98ZQXvenUF7/ljJed89LX/PPFl19Z1eOPhT42Ha8RLUYqWUQJy8FXjR101hC9D3NpHDoFQFgsCJgBKXUQRYX1QG1dre9c8MvZ0gYtWhsrfjkPutT7Xrutv/OdDsr2PJRdNjAuM4eFiKPGpVRu3Q8/7rCab7bc2owzNocomU54iq522W83/ury6wyW7CShw5TNTh0h/iPFPwnYigvbAkAMN5u44GCEKVRX/9inzv/Vbza78a+J1AcZtl2TDSg55zy//gVnnrjbjjsiaNYMP2Ij6CwmwVhpdgqFk27P2B6+Is7oqGQoHHJaZEKMzlenqk6ChbiRuQZGqjLpICy8TV3xzrODErU0vTHQQQaFGkoqEaYgWZihqoqSQnPgzHhO+CCreM2ZWGyng7QhZAFpnhpKQxeoAVBZ0SutiiwwCXTYCyiKwi3+CVxGrcDAyIIbOqdSjQkdYslIwCaGCNGCLDVL08SKeIKRnmlEiFQRoivESrPIikkqfkwQq4klQCtirBcScgRE2FKqYhmiidKTJ9y0LfHUGEtCsOdhkGKaJyfHJ4MUh4uoAAAQAElEQVQnWJHDIDli0BzxCJZ9lITDAONHtD6OseRCUgEiLLx0VgJFYluzHHpVJAXMag2pMKJLg7AQWWJpSoOmQ/GiZobmPsU6lDx2BYm2ysgJO9JhgkQgtEUdJ2PmLo8vy0lL7IzCFYWIwSAXRM99plrsDg9uI28ijJyJhSc4EihKJh5tZIPCSZecbVJVMui9F+y8UsxeBMMtkUGJYNiSDzg7nz4l5PTgROPKF95akrCMJAAMhU/nPuCDrRN7JsEze7ux1YEpmZID2yxltcvCgdRsViYpq2hOy5pRiVS0vmm+5V8/8d4nvugZf3gW/bTHP+/pT3z+qX981mlPfuFpJ7/ojJNffOZTX/Lsp7302U9/2XNO/T/PO/VP/+T0Vz3/rL9+xS9/fTHu4skmtKoXHzxrvfe1y6+64vmvedkfnvX0P3zeU5/wvKc98XnPeOLzn/GkPzn1j1/wzJNedPrJL37WU15y5ikvffbTXv6cp7/8uU9/xfNOecVzn/3nL/nlry4hJ1X2xDZxJJbibpU4TRRssdheVU+PoBdvqEIPFLp6nxjJdBJrrOhSjSVuZc3VuX6eb17bsLK04/Vt3XWzpau1dJXaVXNduaKrVnXlal25usPWpX334I9r2I6a91KnEZcKV7MnvxCz1ti/aEXmpCcCyJyOxL3ofXm2pJEOqXHnupyTLziVCjDdnKbAC6krm8CZsvU4jKbG5KFnWmBxECZDXP4m02Qcx7Mt2zMl5enbDk7oRl5MKCyZhJRmQRGBrtG4fEViBdbG/QiKlqSLTA1cRo7SGFihR/ZwyYENtA7tZJ9dQUtWGnPDoVlZShMh1tbjh6rGhc1uFhkMaBCKxUIYmiHKPmo6aLNlCBPBFj4zlSQeSNMih0NRIDkm9gNPKGaZvwiTNirFAyRSy8z0sRlFCKC3QZCPqBZa4amGNgpxbypxqVqUqjjJFKFyF5sjYngRgDpVcWpKeQXOeUeJEGbKkExDQG8DBQybQtowGLcMuU1828ApDQdjDOhAmNPnSmNH0UOyILaRCG+RMIxdY+2CiH44MK2IIkGwY/JGp+JmiOaomCDThzaqHm4xispjUwtWmECPmsUyQ46UfCKFFJEQidanilclpE1khItFg4vGtPh1mwnb4U/RxktFEgdkxaYrWpwgwXdJ2CJm5svSBBlW0cc3buDZWqPQosCYlIZpL4JKom7FMoYhzOGEQYvbnCyLkGBX5T7lH2TAngjUcIveMGUDqIAPGdWpyk4aLHLmdGTigyoko+IqA7E9CLxUeTSyAjN6NoeMBTY4YE4lYJXnQSJN27OEG7AOZzACWkKUhKkXLwqRnMdTpzZDEwiymp6b8VhUIwnMeBICwAAQvnllGYriWHjHt8sIGI3B1mA5HgluDCYrEgJqW6tCpNbwmNRsS43jGX4LVAzQQAmkpV6NADZn0WKFiEhkSPw5ZqCU1kEW4jF67bXHLqc84YHPePLDn3nyo575lEcxP+tpjz3zlMecccpjnnky/dGnnfKY057y6NOezPyoZz750U/9o0fc466HEaG4OVwiPNumOEqADetnj3vUvV5x1lP+9AVPfcVZp7zi+ae8/HlPeemzT3rhmX/0vDMe/5xTT3zO048/45RHnfbHDzn1CQ86+Q/v/6Tj7/Ww447edZcdYo0XaSnOUmcTQ2mt1K14d6lpajYisUE7BCPd7lKJEmjKrmo+7/AqthsxNHzZvuhXv71m44o0E/eZ/D05poZIYGptZeMxRx6y0zokdlp5FnlIazaeHtGMN6n3gw/aZ5+9d5b4ZlXFr1vxLOKVSxKglbX2y0uv2Lq2ao98SFHFGZflgWGRebv1IiUklrgTZN7QGB+yeKYxxwH8uuX2/Z9c+tkv/Whpwy7mA9utNVJsA0AIyb3zuVBbH/fIu97u1vvYtTQDRD4dP6gnn8ZvM41VxFWZP8TyJTI0YkudLOidtaLAlvMh2NIMSzFKJFUFtkoquK5wUgdsIEpKJVqeoF58r0HSczQD2QJAH6tCg2J0XGITqfBiw5DlWJrVhASrbsMRC0IiaBt5jClsTLqRS9yoNiKCw7hldwloMZNbjsAFEbdDazw4tgjnrvmMqJLNfQMntCO9aOPdqFQo0YTEssTRGAU+YTuwSgFAFIcs3idFergBhI0bGroVrRruFIBolthqcnUIj9YwkqySmFXVWRqhxEF1MiSdKjIEQDda46IUawkDaxsdkdtw1YwYO9Mkrt8oKxR/M9puO+wmADOdr61AIOhSC80YDkekXlURDAk0mSAfEiayZd7eJxYUBFaxLVEreUDMwlUbNBdSiHHnaaeNHQ/PGJIHTkQzNS3PYgmJvTCaWJhmkMKQLpDU1GXP8IPX5rRZoXHlUil8BiZuwoFmmg1vTQ6LiUbz1DgQ2ND4bCOCrN4q0tJ4L5Tsjj0ZQzKzxa68HUilS7AIVRCSEUAWI15Lo6UCYFgGi0Nn4HTwXnBsZCFGgsYiQiTQ4phK6z27zxF3e+Epz3np05778qc/9xWnn/WnZ7zglae/8BWnnfWyZzzvZU97zgufeuYLTjnjBSefcdZTznjRk09/wUmnPfMPTtpnj5sQPU4YSYJylnrXfL7L+vVnnPT0P332i1/5vJe++nkvf/WfvPTVz33pnz3nxX/6rBe+7LTnv+jU57zgac96/imnP/ekU5990tPPfNLTznzCU//40X+w1267k2Gp5IXHzhPUaQU/MmVNyugRpY5Q1LcKOoaA+ICODo6FOma2yY+usfNe837X2x7+nle+9dN/897P/vX7PvM37//UX73nP/7yPZ/8i/d8/M/e9dFXveMjr3z7+179T7u2nXjIhiO2ZnfcqEkmqOKWsXVl6/WbNxa7Vi+eqKhAYEeZEah63WT3m2je4bk9Mytv5uJWNCsXjBRtS/RMRpY3SXSEllCYphExHMMBM8BmNk0AkpsqgTzEIkTk5Gm7i9sVC9zyhaEQ5HJh1BIDEC4sJ8WZmw1tWsNjvDAU1iA6PixyZIoTVaESoSHk7hQ7HLSEfHS7i+1bJg3RYJmJbKmJChZhVT2WFC6+hJaOv6qIjIFwkBUTFuaZPa8CRhZZIaGMG02tLDw0UkUVl3hAYwa2dkMNGr6psOOMZhaSlkyZ4hvwlLhtoVT2MlWHtB0XwKKwaNUIp4YTWItDHdokIGmhhUqHy8IA22w3pRqjymyoCrESQIoT4blTJVuUdCibW5OlonpA4gDGasYRcsuGllGiANawVoN2Whus3JCIZgnKNMmi5ayQgB83J0FxNTK0ChzuAdJhSKOqOkk51gA1/EP04QSHpAISjrmq4p85FW68NjtE4b1CENQ4ECbA2vDZFYSlrBrNbLXwhkRjMMUFUWVS4nOfcHNTvWSMuDfjwTZ6iRDkLOT0XpZtpGO/sM2oRv2IjBxdmR/MINFC4B8a89A29OQEuXCI1diLadCVbLmY4KGYkfH+Yv5/evwAnqTxNQkkVnoW4bhwMWnjf3iCcEVPzmalHkECTtxCHSOhES0ICaG0mLMUaNHMUAQTMRIqeD6rBsLQsTUg5HAljoQrqoSd8NVTfnKzLFW+CbtbTi/EPApuyDF1iqvRnHliJ7JMhQVdwlRMZnDIMoyEFk+sEjtnUinN5vuF2Ts8O8eNK58wFS8ZCMGNuUugLdfkI+mWmMdOBkHm1fk8meN1vttOy4cdcosjbnfg4be55eGH0A847OD9Dz9k/yNCQxxw+CG3OPzgW9zpoP0OvfV+tz9w39vdat+b7b2HceTxpEiWzVBiLDXfeLcdD7z5Xgfud+OD0m9y0P77HHTAPre91c1vf+B+dzxo/8MOOeDOt7nlkbc78Mjb3+qo2x94lzsefLcjbn+jHXc05hpTiEGN7cCR7kwNotBHOJWU0xn7ElsdUpEANOUsihAuwGYKBxNx2TlHyzytP/nlb8vrZEv02FYBMC4YLs9XNx9zl1t3fC08uAZywKCqgdtmPK++yw7rb3vQPqpV5KLxlsU5GDKFqFKb/eyiKzZv4Rc8aAsfhOUo8FiiMfXi8iFFly1z4DZIlDJNydCGbrPWrt+89e//8dOa7Zz9kKRzB9FKHr2sZn4JPPAm97jr7X79m2suvfx3l1x+5W+vvHbz1lVUbWY332BTGmamkQEzGEdGJny3NNelomgY/faqay/8yaXfuPAX37zwZ/y+95srr2V/RMMqBYwZnmdqgGeZsJniBSHxu5x4Y856LVXNVGQRB7ZoNbYppyUiInbHTPTRIZFDYgNYmswKA9EWOqRIxCIal8KWzYDDVgPGvbBbJDaqDA1W2Fqig6MPC04qEh4/WJcFnnmhXpigmjpKQTkNnwOFQAQwmUMaB2yNPQwKMMKBY6IbVsqcu+xBSFRY8rRkTlZZlT1y7fqwsBKDQEWGqCXhYPQWC5w1MYUWSSR7EnBITYRJoWQhC4lQleQtZpkfeAl1iVbTzXciD8FkkFkCnTqzSGpOiwwGUmQytBYcFyMLFFoJMKsluuxohS6cpCxwEDZP98iTDY/4Y5KEd/ogwJuko+E+U0lqr2w5EtbUWVzY1jQzLUYNHS4FWhpTz56stGoSHoHSpUFPFU8YihuA2INjmePAWESS5pXgvGFYMSRKRzAikQas0pwptgRShjxOFhGbRYtN0qm8OSpBh0HUISaM7CZbHqJkE3mDRV7i2Q5faMlY0DhjHnL+DOCb7br3UQfe4ehb3+7OB97usFsecsf9D7r9/gceuv+t73jAwdCH7X/w4fsfwnzH/W99h1vc+nb73uqQfW+147r1cSfxxZ1vMZwNrunq+a3yFnve5JCbHXDITQ+49U33v/U++9/6pvsdBHvz/W+73y1vt9+Bt9//oEPxfKtD7nir2xx24G2OOOh2R9320J133BmHbJU06dStz6uvzfko4yUaeXW2r5F+SuRMig44kSmzR2FhXcBKNPNnDyrTig8aaj+dDu+7HWtp51p/I2/Y3TvuOdvlxsu73nz9nvvuuNf+u9zkgF1vst9uN3bvM207EfxptJwwuYh4Xf2yq3/762uumJu7RuQAiNlDZqIy6nXIfrfSGirHjFFcjmrOMrPscUoyiDgd9iJ5IwJjBGEl8pfEVqSUgQQgFr1AqtkYcbmzkKc7bhZYiVNZaauXXP/r7132w29e/O1vXXzBT6686Lq+SYt/dcOz2zZ38oKKKCMavpmuto6T1ZnWZvM5v+AQifxK2RLZC0KNgpdEjoatxSkhECr1QXjMTdHGdXhqMjYbWlgu+tiaaE6LUKLcMMyTmFLMHLM4hOALHJDoGJVnRqpFmBoeysEU4klrW5achlBpeAUguSdvFfIeBGugLCA0WlVnxSlCyUAloHmxxGNK0HshGSpjrsoESEVJCMFK306oggJjcawlmh0WziZ5W1a6BIK4pYJ1VNkqEhLhFqAlKnCAHNOwD1kURpTJMBMtTjBCJAUduUYaUFY8WCxOCwHGbA2rkXahlXixSkGVn0zjpQAAEABJREFUDCDdiSmam8xBkY4qCixLCLkw5BoAqjaSaYOT3SyLc1XaFKJCWshNm5Zmy2mimRH/AS5kww/bDwttIGUTJZT/f5z9B5xdVfX/jX/WPvfOTCohdBBUioIoYsUuNnoRRVBERUA6AaT3IiAKSO+9hg7SaxJ6b9JCCSUhFUhPpt2z1/+99p0A/r7f3/P8X8+edfZeve19zj13BiMYDJIKhpsMB8YU3cAJXXRIh2MCEdmSqWwRgqUYqDJzFNChikJyMjgGBW1rxQaFXxmDvccCIBW8oZEiCgzyDxdtw6BDO9ZoRtgXCVlgBspsXGJDxW7AkcJT8LjCleKEMOEEDpEptk0iDQ7bETRbCqN4wAfogMzJOOQEb4dC5DiDHRoFFZhFXPgw2Dd6Dq4QhDccxHNskYAnZC4ilBEZS7E2M3YUZ8IIgC+ZDGA1M3I3+AX0yTBZIdCQecxBBo/irazFVVGDNChjhFbwYOEZU5IJEfzY/EWVwi0RUUMS4OxvhpfldVL5wHBHHE0szyeEUbDBQ414IAF4B5Dy2Vnm8pswY5Q8uI3MLRRFNjzTMaYETNxjj5kDikJMSaEsJ1bNCZNlBVvOZ1HSogHmsIJEiktOgTNgQBsyMOHfs/j8DcIdnYLwBHOYMIqum2JvjfHuxJlSM/w4XNhA4goNdir5kMGN1VZZAU+uUMCdcRWNdjoGbU51sF1pUOeglT+7VFL5vQhpSaYIJgapuVuqJk6Z09vf/g8QFIZxoZQkDExqO2YVT95MWLYk2CaD6WaxyBjiVfCqGx99Z/I8q5pwEjmjUsBl/HAWgzJr5XTdrc+cdN69J553/8nn3XfyBfedetF9540ee/fYF6fMmM3DjX1LMryHflxGIrHixcgg/EWjYCWb9uGcy28cd/K5d/z9zHuOPe2e406/54Qz7/nXeXdfdfMj70+bKfTD2EDMyAmkVBpM7GM/Zs1beOOdT1xw9Zjzrx53/tVjr7p53OTpH0Ya5gNaMpC4aBpGzg54kOAD4LyLSESQKYlJnxomBAAsUAgQZpMALuYA7CI1UJxHCC55jlkxBkoOHTKwMIzJZSwWYRWjUBYjKC4zpgAXqkwsAQUT/aQ4lnb4wjQb4LILygXn7YzAJMaMP9QAEAzl3B/FIXRwzdomMs6b48ACg+AIMMOMWGAiMgYuFJTLLDcrbIMEYQ8Ko1DsH2tomPAlCItJn1IJqUQAd4VjtTvohCqqSGQqlGdSMQza5qEvsyIMdQR4wE2b2UYCdw+d4mIRgi0mcqy94HSgMLytIZOZRc6WBB5KQhFccSFUGVZmrCzMg2gjsfk5QoYRlqBg4cbdeFAlDE1mVSBi35LYFURuokxhqxh440SBOf4NoWThy8nAFEzHWO3tNmQumokrmePEQ6XkYsKMC0AF3L2wFjnBFJGKLJA2ZuigEUJQi5GYZCbuekWQsLAY+JTJkgKJuDVpuLhlqaBEQ8oDDwWXZ/FHJcc40iBXKrAMv1ZuWfy7fP3K/Zb7VPd53c9rt2e0ioGEQ/EVDv+4IYC3HKu6XxnzrHhi13J6mGMmEHzB6ZfjvB+FyoST2pmNz6zIg+SF/+gWS9TvQVOOyooOK8ezaBS2ZCZlC+XALIpRDItRGU2yZPFwqswovBJfPbxyfldkhkNnht/2CB2OCAJkz/2qn5nw0rsfTSIPfIZYMgLGnMDMrcs61lz5i147bFgSbIFLzLGGa+G2XZILe9iuRcPNguYC4qnIIsUUfA0McDcZqaoUK/t4KPhq6u1ZEy+456rjrjvtiKtPOuyqkw8fffLR155y8r/Pu/+VR7qrPo//4ERm4jKGwAIns4J5/OP1E185947Lz7zt0jNuu/j0Wy66+6kx3f0LDXHJ3QRKJwLASINbxh3Uwc2MPjObPj0GKBM/9ikBJjQluoAJOSBCDB5zEIYMEjuAbQwcPoCGvJCoDNCQjp4shHKJFR1JJSuZFVAcSUmRKWXAa+8OrDYkz5xdMgM8bi7YjqZDC5oTTWIe9crgmeAgVMFDMXbQs8k4DKZPaXobD03JzEhCRU3YJjC0FUxoAAX8eqg4pGTJDE0maDBDFLQgwzW4GPZ/VFS8SpiJYVwFQCyOfli1K4INU1xJSmpLnXszmQAxzM1iKaSnIKBjIQkWCBE+KlXgoQsSrCSQCCaJuNgaa1ySLIHjQgaOEhWBmIkDJrreZsuMYto5mMFLyILp9J24EqqKgY6Qow3loMblDm0wCBCxuELPQy7cIS1CxM4VsrjYXxbkMn7QsBgCZxWDatAnPlmgYrCEVDFcFnSZIp6Mwj0kcVkZ0R2SCMbAldpWUO6EzzwnwXGEJXQ7UXeDA5+wkS4EIEyNIQWSyY2wcUZzUS8aMqGByPEXqBjGVWpQ2z1xilTsgTlM5B5xYjWmtjJek8SZJwtnIAjfpF1uIxEFCCG2kUpcHg75YHCemnITHsSw4Icq1rhyPhnCSE4oxDnCs8YS4hxTKcHxgRbKLpMlJUOPuHjAV8xusIDgyxAlQaEXuFkQhqx9gArmhIVTbqeIpLq9DwNCWDZ52keX3vTg5f9+/Ip/P37lrY+Pvv3Ja+544ro7n7j2zsevv/Pxm+5+8qa7nrrpnqdvuucZ4MZ7nvr3fc+9/va0uq4x5jmjnOvsOQgq9AU9vQ888vz1dz52/V2P33j3kzfc/dT1dz993Z1PX3vXU9fc+dS1dz51zR0Bo29//Nrbn7z6tieuvu2xMY+P7+6pSd64SBYoHTAVOuqiVJkZVwD3U8GZUKE2eVTltE6ieItpoPA2ilWd07Tps/mAM0Ou9iBr0SJsoHO98krLDhtUmfOKwMaWmtzb2uHcmUKdJRt180s9Lb3kiM6OinMmFA0pQo4AGIBTm/Hh7IXd/A4zuaPlDA5y21Obxj+HImMugbtHsSqjkNCRcVXZi6+9d+9Dr3V0DU2M4MURMYYSZwALl2FiqXr3/dmPPTf5hfEfvTZhzksT5jzz6kcPPDnphrtfPffqJ4486eazL7tv6kdzq2ZK2JSmkRVxpWAEDjPnqN/Sf16feMIZN1/97+eefeXDaR/1L+ip5nanKTP7Ia++9YXjTr3lpbemWFVRPoY5Y0QTKFZUFJy4HfTYc29ect1DN9/zn5vv/c+Ndz///CtvDRs28L+ac0sWg1SolJkaguaCMKkNMlYm18DAN/rBLAwrQ/iC5E6miQn1NhekAKIAC1scARTqMnGb5zgw7iFvb5A7tXjOMTsCYBFKsULTwy4MPASU7XAJbIGCowJGCHQgxfs6GDqAf5y8GQkEX5iWVUYGYkYUPkDNTHF+FKOEi5TwA20xIL2t6wavBA2ecBNEnDWBoGQoAGJFAyaeBxBSdFEMwcxhY4WcePBQATRwOcwSr2SFO5NJYUQQxXARQOEpqJKqL8JMxmCCAWIsAW00KLNPhIQysyInOuBBxSbCDNQpCjHLIiSUCk74iAwOCJ8w2llEruJwQrlw1OIMiBvfPRuvC1ZExSgaEiruqAHOyC0Xz1JRLFQIPJwghWXiSwWJcbLh4g48TqZ5mVEC0CN82CPlZCAEHHZcA4sLIbhAskxtCgI7oGSEzFGhH8EBgyE3c9KgD0LIVhaIMLkUhth5xHlS9MGwDD0sPPNcZ7dzDFfNNkua37vw3ifGXnbX9ZfdfeMV99x45b03jX7g39eMufWasbde/cCtV93/7yvvu+XK+26+6v5br77/36MfuPWaB26558mxWBE2fMtoIhHolchLPmPWB7c/dM/1D9x+w7g7rlsEN4678/pxd9wAOfaO68fccd2YO64dc9u1D9x2DXD/vx989pFct7zOuMItrgByM5UKY4kehCg7OiIosTNXyDx6IQhHBjO2Gsyp00MUE64z3vBLB5hdSLMbR8MzP0G6o2EwQTLNg3TOjWoeOh3pP1PfuOahW2b3znMjqwgXKgU1JfSs1heXX3W5xZY2+lC2MyYTZ8ViKCYnBHYiW2iyCwcGWfhCVDTgsuIn2IrhQQQiRc3w0RGjvSQYyo5Rbvq9Lz60/3lHXzLu+kfefnbCnPen9nw0ccH0F6e9fvPz9/39hrNOvOFcvm6RsofLiI1V5IazAjRqxoKPrnzghkvGXHfFQzdf+dDNtzxy14fzZjY7mpIZn1ApRVEpyWQmhpmBcfSsPWBR4aIAphBKMlVqjwgdKUsJoAbsmAHk7XmgOUGHtgUibGL3nC1z1DIls2Yq8PYQLYTJGSABAoZ/UZHChwQHfUTuZoQuXh1PgZCD4r6RojSDm5KLqsJMhpVQ4YMIgIJwFljElCBxKLTM2gpkZCaDAyZQkgivFmYOG2WkpBvyoKHgCVkGDa5HJWZBSTDJhmqyOLhhlzmNaAPYRR0qxmAYe4kTsowUiRl+xIUVHHwVhpjRZQaEWA5SwIK00I2LtgQtRJBtMIc0XElEccnFwyhkHpMV4zIjQQX9kloROibBCAJLxwRhm0LEEcCS8548g0BmLi+bX3R5LLhDwsWcGQfMbSAySu7YS2yJJ+M0WJCIYgUFE2NgKYYlIcSwRW0SEwdMwloipBYNU7CcERwWL/GxBTAB2lWABLBjESGUaUboW8E/nqyMj0kQjpSZTDIzmZLF3zFEsQYmpPgVJZYNgC1lOJGGGXj0i6juNXnbgAnPM4EDaOCLgpnbQFIgiHCNFM8SjgpwatzoGVXGwmaKQSw2xywSc0dsSVBqT5lFcMQwz5zmcEWKWbIKTbXxIOkNDhxtozL8IhIOUTFyLqAolETgOWKPgBJKHoWDYSZjRCEO5tldHB9F67BCFBlwQShGu/yMIlTwBxY0wcKPUHXPNR8OaGWGZ1x/Sqru3r5335/+/vTZkz+YPfnDuZM/nDP1w3m8i0/7aO70mXOnfjhnyoezJk+fNWnarIlTZ747+aP3p87MNfdTwq+758wvH7101N2tVecPZ8+fNHXmxKmzJk2d9d7Ume9NmzlxOjDr/Q9mv4+fgk+aPmfijNkTp8+eNH32sOGDll5yqOLXl07mXKSXqQ139MGhogVS6RUVeRzlirmwFKNoE9+jPGyL0Cme73C1xAf0wp565tyFHsrty9xTjk+fjEsg59aaq3+Gqkq7YZAIW+YiJy7Hyr2OBQzPzq8+lUcuNnSxoUP4HW7y7AQ20eP21VZbsKB39txu54zF3ptALB4zLpM7OmaWWJSdIUECklDNJkYONC3o67/h1icX9laygQSDjZi/toc9qkY14TECodZQ1XRLlfH7yY4U/6jyoPl9jXen5RvvfXOn/S+65f7nq84qJZkB+LRwRmGKzazJzTRh4rSzL77v1QlzchpkjU5VlWOAy6phjWYrN9+cuOCI40d/NGeBccaxLz7MnBW3JONuC3rqy659sLfuVOoUvyz1vq1++aORI9r/l18ivoS+oy8Z7iVhDlOSxUCMJ/CYZTITViklE3gYwglUzo8xlMyqmAJXwhdt92JeZosSMUQcPpQqxQemoEOeKrPiQUjLlXVm1cEAABAASURBVHNsb8iEM4W5iMVBLLQ5mHGxpblsI+wAK0xcmFnQAk1FwT1DJIUr7k6kbmwlybqElmBGOeDBcJmlXBggEsGNS6iJkY1BcDLEk8IpXHjucRrCBKKA48SJxflHBVUvi5wavY1j5JTBjYNYwiMFBlMiJjmzw6AS977Cj0cxcsw9kxZIDn4ts2wmQznYIG2KR4bw1L6EavQkYuNBHw8T2mJKjgqIYpgZdlY4Eu4LHd4cMec2FhkJyGCERzhZ8hz3h5kJgo8XhMqoACRMhcYIdWV2wbjXTU6jvPgp2nQFP87ncRGZsCoMwnPzh3oSXmBHIixStszfvR17BAqpOFtBCyvFZHCER/BioprFlPkpKtFi5AFCByiu1A5v0HJqMlvURpMTAAFI8RA0j7vgYoVAigOPkmK4mTCWQVhExcgpFnlh1XX90dzZ702f8t70ye/OmDxxxtT3pk0GJk2dPHHa5PenT5kyfcr708Hff3fKxHenvv/e1Mkz58yuqkTxzqOIpiRiWLJUGVFSXbcmTZ3y9pSJb78/8Z0pk96Z8v67096HZCbKpA+mTv5oxpSPpk35aPrkNnw4o6enb1DHIHEuqaLOBnCSMxdJRwuo0QI1K30p+VOAt0dIoFiYEwlh6KZkmBUneI0m5phQced+qNGQiBk9gXCl2nJL/KIxt0z8ta3Pct3IuTP1D/Z7Xnn4wPP/9uaH79VJJQVm3JsYPB49x672+U+/8aMhHUPcHS3R6BxBjKlEheFm5aRihjmKaCHLgZG1+OiTlR+4KMMHEXVjgW57Dq5nqoMTShIFWRSSGxr38uP/vO7st+ZO7mv0q5l4KsfNQTMaqW7YjNbcG56866Dzju3vyFFIcaWIERMrh7tV1U+89dzYVx7v7/L+DuFzlRU/u+EPft7Bx41kuEJPIn6SSVE7FGBtfniCiszMYnajtrYsIygQJMYmB4KAm0MKDp+8YBAiZrYSroQ3oY+FyvA2Fl02UC9KiyyLJlMwQyrMudt8kSI47tF2M/ZEpCHJzMIdRs5zJm66TFakLxqudmLYiIu/huIM22CrDORlZcKRyQK4xOUDDgQTueKgGvkFLrbIkiVwLjMDRxa4Ej/Y0nU4iDyElZgDKm4+ks0uAPM4Se7ih5qpRaKnjgtjpGw5R91ZomrDIZ6ZMVQoiiZE0CIpfHzHMYHJh3K4kawMMrC2RsyWYANt+9CRy8pPtIp4Zi7JUTCpbQmJby8ZiYwdNkLY5LhIXQxXDTOjIy98KeoQXXKKRQNGCFJBF03oSCYzU2WWeD4lBgjATZsiJXMUpEgyUjPhIljh1qQ2qD0cR3JqAaKYYlW7m6FG+yxGqIaxwlZmCRkgCSnO1R7W5rWJT2bcAp/QIh86I5gA5jSBXqBgXCSgcMvjhpRCGm7j6a8yKC7UklEpUtEs9ETTg421Ya2yxtxOG6yAK6Qp0RZuDwstY8ZJiD+l245S0QAEnk2ZcFasQSKuwjAebbJENQGGbrj0slKfuylxqJzsUBCqoWxm4n3PxMiKxVAws0XGLlqEMBmD1S2TAzdDkOYgMAuYwj6puA3cBmoJv8ZI4lS4xWJCzxMmYngYmqlSwnsdZtkTGbgE2xha9bPLHTFq64N33vCAHTbY78/r/3W79fb64y9Gbbventuuv/vvgfV233aDPf643p5/+sWo7db/6/Yb7rfjRr/d9BuDuqpwgYNUpWQpnMLw4UO6frPJD/faYZO9/7zRXn/e4K8AVtutv+926+F53z+vv+/2G+y3/fr77bDBvjusv/+OGxyw40a7/O6nn1lqmJRpJBstsjSn3Ua/gnC6WsvwLgZaRSneX6jCxcGiDwaOMgog0GIRDinbwpnPX7igu6cXlWJd9CzjVCJ1yjCvWyuvtHiuESVxu6VkJiV6nWGBmFVWJWo1S8alzLzY8K5hw5uZBxQEkWSYop9InsSlLPto1mwzgyl2lT0O26CsDPLJEmIokuZjzN2A7DKeruIMe871w0+Mf3XCR25NYtMqlZGV+DNcCtyZim88UbDjTRlcteOeIDitSdCtUtW5oDXk5HMfOPSEG/hSjWEbcAHk0CU035H6b7zjqQkT56ZGl4xASiyeLR5qxkhVZY2u2d0dhxx/bU+LVxHSlqvYKxZK4LSde/mdMz7qS3zZw2vd88Nvr/r9b37Ra7Iys8pMxpCJbxpO95OEKMPjJix4xDVqJjmZAQhi8apSI0VHGmbJeKnz6EY5Cuiz4ksmoLKcKmHM7sCsrIrAimRhmnOIJBmpwyM1J79IRkZwAPemomlJKZDi3RQDh4kDIBSQKsUal0HR9VCK1IVEuM+mcCCDyEJHCo9oOvtdB1+MTEWiUpFbmwkHPoFjc9tSXCSxxYYAZbNACEZ1Jk6OGG6xF5TWBjihJLVnpGKYrGQCmgIxM+wlJndCmKw9cGrBDkqpwjc5Qjg9lBeEmVbWCtuMvkPRTGQgMqwrYwaCcGqwTAeg3aGQZy725mMONRccdhvYKUzCMmizZJGjWZynhKqpYinOoGQhVjwLIl/yKrRikH0sKh6yIzAxSRVsSC+UmYxRmJYq+FAASBGARgIyiVxxYwrHGEvCHUTUxlaSOZpKcM3IporJQaRsZlIys0pmCrM200FlYgRmBh4WCYaVwVOJtXa4yGB7MmZZMoZLTlomcNyz4F8siFFIFttIBpW4fyx8cRCzTAyPbdVig4b9br3ND99u1OF/GnXYH/Y8eNvdDvj9rvtvs+t+2+x64O93DRzOH3Y/YNtdD/zjHgdtu9uBf9jjoD+OWmXZzzWqRuIXNI2ksh/mZqoqpc8stfzuv93h4D/sdtC2ux6wzS77b7Pz/r/dad9tdv7rb//y16133GerHff6zfZt+OtWO+yz1Y7wd/nlH5cesaSU4hFNhzkf7q6BAWo0mUILw6wsiiKIabGKNmQmZDmbUuFlPFhCIgVtGhggtKaSeJPGqXlI2SHN7J3z5qx3Xp/zzhtzYn7lownj3nz67Huu2ObY3fa/8Jhp/TNzw8OdW5kzibWBvefBucayX1hn1a918OUmso1gTj6oos7RIEohM0gArtBxmWXWAJxxZ0kWP6QYkGIEg6LE4J6TrAwWOXsbl5kIVGnCB+9dct+1M/pmkYXYbvEsMYJzka6ZwVBX88HxT11+33V1Rb85BInnO3koHMor/7Bv9sV3XNPqMI4ahoOsudXPNl9m6BJiXyJOaWxoGwopNWQyI1kT502BJZMMihbXyVsVv2xVf8r95u3vsCDBrIyvrq1KrYaHtEq5yv0oJ/Q9dOQt5b7k/e610Sc3Bk9TidvVc6vX+3tyq6/u767rHq/7ct3rrV7VPYCD5x4HQtQLmVs9A+QAExM0ezP6BKKB7ICXLXCIaC2didvLqJy1iJDE2Wx/Q0gk5p7djZQkdpIEkxnKksXAMpwluuFJ3IXsjMc/auV8lPOgczMlepjCxgzC2HKxVmFjfP4ZOiQjwRUa8kUDTIoIMNo4IaydDe7dKgswoZVlSmq/aBquBc9JzYp9FuIBDkxA7RG2mFmMeHNLgSBqL8lkhlt3kwCx4yamYGT0JZmRgyTWAIKYZzM3dt9qqiQbk3FarYxUMNRzrtnWOra4t271tPr7qDXL3GUJeyrGiTkexXlIrJyJ7vlzF8ydtWDOTOaFc2f2Lpxn7KmxRx77g18T1hw2ed3f093Ts6Cve0F/mVt9PU6nIzktGsWwWBmBiSwRyRAHKTpM80PE4s6DGsnHUHgkWOw1MCsSHWCahac2B+U2ETJYBYg1QEaM8DBgYe1qyFdYAagz0w7XgAornBLNAjcxF+AeInt01R6Oksnor5kVx4KC9Ixe9Fw0BQF9NLdPDQmJhU3wwTNHDPewqUcxzEyyHBNODB0xjD00LwfIKDJhlosYGZBzpFQsi6nLHE4Aml68FCm6rNDwBvAEijIGhv9KqRIqbYdSKUExElxWZsxNSEKPEOC4kMdEYjJ+RFGlIhPHN2dOKc99J04Amt6UNzz+q/SGcgPcvFKu5JU5t2XDHCY6QCCF5CBG9LgijhhGfDxaJRXIlefUdohPmI5PRDyoveleZRS41zOPIsVTDFuXl2QpyNiz4Bi1Ogc3UpYs0jX47VhUh74KU0IabJenHGxzjAqH8ucvWNjX13JUF3HknjyZGM5pqXO97NIjHOviXpTmbCurxQimF2UzeOIyxEOHNIcMbkrKJhkuB+wdR2KgU82eO08DklDKWRkJGgVAg2thjBZ4uRVDlj1nVuUPZs1/4NHX5yzIsqqmTHTxiGWZMzGJLadNeGBFEnbCGhQDEJqhOm7zcO9qVB3DH3tuyoln3fX6O9Pa1vjhYwMvkXsjvfH21IefnJCag81S7FFuDW7WKy3TteJSgzqs13OruLaq2fnGOx/d/9BLiXYoQpIO8XJ2Mz39woQ77/tPs2MwdeW6f6mRzV233yC3kIc16pFwoFhbDMJbkqEeXDlItL4g6BRme8r1Yw898NxTj7z6n2cnvP7KpLffnD51Mo0xlR8z3JCJhXJuNtLTjz302Lh7gEfH3vPI2Huff/KR3NedTJxkr3vffWv8xAkF3n5tIvDW65PeemPiW+Pfe+s15olvvfZe4K+/N+G1dya08fGT3nnT6Weu33j1hbH33DH27tvG3H3bA3fd+ujYe2d+MJ247rRAUslfsQskRVrQkZixLqo+lOg6RmIgQBOkAGgC8WiFKLD4c0dpkXUVnYcBwEIvO4rhzM1kZphbrO0pApOADDaQhELQAglPkgZEeAOFcC5DRoTAqMUlWWQTdLAtmSVJFjMhUiHKFG5S3JEKP1FruQMUAzbWlNN2iEcQfEqgcplliXgGJoGEs2CbBItAKg6ZkXhZFDK158SCJzMTQJwSmpBqmzncEGEZgSJiEVqmDgxRU0SNOwBE4tmCEl5oGRZFWXEO8BCKQgVmEoRJwtAirDHDhMOdIYQoiU8EAilSsWCRIz65iaiFKJjw0A9FnOPExcMDbURZGJbmZeechQe8G0MKV6iIgZ3MlNgcc4uzjg93OEwmIUxJvLmkZEpQboxKVuUoHiXHQFLl/JU88YfypqoGuCqQNnR61SH+Zl11KQVYNUiNQWp2Vs1UJWtW1uTP4I1kjSqlpAhDgKZb03GYsO0AUTjpCLepKStQtf0j7XCBJ0siv1JrpkM5W4ZwUDJkYQaiZpeVAUlEGasxG6uEJOwwBWeDZNgGRMmFWzxyF0VrXTGckVuWb3r47u2OHbX9P0bt8I+9dvznqB3+udc+5x5xzj2X86Wr1aWa3RYGNC1AbFAYK3aoZSNs6ObfWf/zS66oWiYlQ8blnrPYRY/wEM5rH7FFRpGMcUic04OmyZIZVsikghFMoi1CFSVZYpM/FpFElslMpUZJvd479j+PvjL5DW+awXZVtS/dOWLVxVdYpmNE1criV01ZkXhXdcdT4975aLKi7+JlwMQHuntSq+mX3nnNezMn84ogd+urf7TGt395TVa1AAAQAElEQVS29g/UT/owHB6xqMuzk2HQZiZQmZKiCEhWNZJuvu7qG6++/CbgqstvvPrSG6+69KarLwO56epLbxh92U2QV11209WX3Tz68puuufzmqy69EebotgLzJTdeBVwW8zWXJ7aIoqJY0ZCeBXP+ff3oyy84+4oLzrrqonOuvPCcKy86++qLzrnq4nOBqy8+98qLzrniorOvvPDsqy48+8qLzr6qwJUXnA1nYL7w7CsCzrrywrMeHXt3f+9CEwcKoCanSxQFIec+FRENKVUigRBMCDlFS+KUqXCZ4THTA2dhd9WsvCt599xZ77/z5mv/ee4/zzwGjH/p2fffm9Azb04zie9TbDPhMErFIYgEZhyezCqvkoom25LjtS3lRnIQvjOAdCQnShUvPai7x0ZlV+aFIMfbgWQ83NgxOhhQI8SnCcPOyjsrMeOhs+EdVbhihtPZENBRKRlJuIkZ8CQDVwwQa1MWpAgqy6AmfpCKJ53HMGLmnOu+7rtuvemh++586pGxzz/1yIvPPDHx7TcbDUfVJM45s0yNSs898ejoSy8afemFoy+74JrLLhx96QUzpkwynsfu2dFHVxJ20flW7TnXUye9+6+//+3Q/UYdtt9eh++/9yH77X3x+WfPmjWzzliwH8YVmGOvD6ZPxfO5p/7z3NNPPOe0f55z6j9uv+ma3oVzSTg8UkoAAQpDMSK3j2UWo3ZHA2iLYKH3aRwSIGAbwD+GT3MwpCRE2DrLIohWW7gHgQ8kLleEDZ2goqrAS2ZthBkugKkXezhuxgw468c4NEqWWOGZIQMNsBiJiYjh20JUKWZT+CALiIgS6nFZfEcInhW5kiBCIFfxxEGHhGme+aGQ4pkIGaSQeHWs6Q5G3ABy8yJAiTX4kUno4werNhQcNNa4NBAaa7VHWOKgfW5ACIIAJCMJ54aJx4GVI1BEkYLJpARqtAlzk2Sp0Zd5WbY+V0vWstQyA8lKAJ8CLak2qw0pSCqcUIDfktVSloWjQFwiZNw3MGusVKyYwW3AFpMAq1pSjQdEUjZrmYB+mLihFHzhGJDMRQhjdZVRuKJwE3UjUCg4CiZGTEEE6kwqe6HYqOLYFvb099cIcMye4ANcdK+tiAlbtfiwYSBwwluRE6NwBLKImVEgDzHcujo6ujp4mg1oBQ8xC9COY2n23J7YAzhtKCkYY5EmniMTY42UyAQSIHPuf54Az7z07ovjpxl/Ggoudy4tCGN6QRBiY2mkGCfGGIr8YJgJrlCQxAe6KxMA2sXD1evU+eKbs865Yuy7Uz8kQ5RRK+AdHRr76Ku9/Zb4LX4Eba2wVMduf/je/rv8fL9dfr77n36w3BJNz62EjVVWDXno8fE98f/PSe6A4okpfTh7/qWjx1pzmOEk50q92/1u3aVGDAtxCVMmiiBPMoJKVFCy5cyKPIUENlgg6IQwSvbcPW/OqF123mvXXfbZY/d9R+1+wD6jTv7H8f19C1PitUCJHwzpQ1ioWdnB++07auedRu268167M+94/DFHzJ45w4zsNf39tw/Zd1QbDt131GH77smDGDhkv1GH7LfnwfvtcfC+exbY46C/7nHwX/c8aJ89DtxnjyMO3HfurI9yq++qyy4etcuOo3YN2GvXHY845IBXX36BNx7aBihKip6QCxmp5CNF1ZKMw2DMllIyk0ThxhI1CsQ54A6NWfiAI0xcptAOl96WChyWcymcwHV0uMAKk1VE9eirBSHIxGMNwoRKJCrxtugmhpURfoU0WA5H7WFB46msZm2qLWrPZpnSRB1i25JRhxWJGygZmvBKMlCg4HgLIEUxQo0FDhl6W8lkA4b4xbsh5RJseeRgMAuFfpG5GKjAJwsQ4cApVMYQs9rDymKK6FYmUEjDDU6cB0mE4I6ECt04qRKqJiurELijxxp5uCcnWFuDp68YiJyLbqBtDLxnG3AAacKCGKEaPrhdQYucNRSMFQ+xSJhqEbOswfZSu+hHeAiOZOVHiAKBcnjG5VGqw1TFHZNEnmaZ/BIPB+8xfpkP9Hdbf4+12tAt8P4eZvX3ir8atHqt7lPuU91n6pP3B+QWW4TPeLNLVlW8FvWHNPehDIRyHYYF77VWb3jjrwzhsw+3gMNs9YhYrZ5Q43tAjuLMIutkxuE1iuBqzyCIxKJYxXCL2wYkmME1xxipOUwuzoLHEPkOrB9jkvFD2zg7BHbPygtz7wLrmZ9651W9C5r9PV11/yDPTcUvDhVOwjGb/Ilriaxb6uixTb+53s+/9qOmVzgLXUUkEJGkxdrmW+xChAxWmz9AeXBkDEzBXUYbXLDKhZ84gGgDqBA4s7jaXhK35OzuuQ+//FQfn8wJpnWq8fM1v3vob3Y/4rf7HPKb3Tf7+k+76kq55hHN6Zq24MNn3njRKpzjgsqMzx6e40+98fzNj97jncndYS0zZMmdt/hTk788ZSqSZPFZ42oPGzjQQREylvYF4TjzQw/cb9+99mjDfnvv+THsu9ee++61x1/32mPfvWPeZ9QefwUgg4/aqP32HrX/3nsdsM9e++8zCjhg7z354wNlleLJxGfP/PDcM0475sjDjznyiGOOOOzoIw496rBDjjz04CMPPeiIQwKOPOTgNhwB85CDjwg46EjwADQDjjqUGbVDrrny8gXzZodzzlD0I1rbrpJSCjCV49Iu0GVtRhy5JFnbjiMnBo44UJwd7rXe+U8+8uCpJx5/6AH77L/37vvsvsueu+48aped9tljlwP5oDlo33NO+eczj49LuSe+0mArfMkU7g3cLCkvmDtz9GUXnXz8MSf//ZhT/nHsKf/42yn/OO6UE4791z/+duoJx536j2NPO/H4c0498aqLzrv3tpvHv/Rcf88cvjWZspEG3cJPQKTliyoj3JUXn3/i8UefeNzRJx5/1InHH33ScUefdOwxwMnHHnPycUcT7vR/HH/BGafedM1VLz77eKt3fmeH8dknicNIbskgjaGBYTBNJiA0rFTiCraMNDwSmPb+e/vssfOo3f6y9+4777PHrvuN2u2Cs06v5HirkjUs8c2zMvE7nNtuvuGIg/c74pD9jzj4gMMP2u/Igw947aUXLPJXluVMbdm5KbLX/Ka5rutWa9aHH9x/z5233nTDv2++8eabrr/lphsee+ThhQvnY4WFONDxD/fkePWS8wvcKy65+LR/nXjav04+/ZR/nX7qyTdef92C+fNKpmERhYjEwd1jg4mbxXBnGuBSHSQAq4CVAYoNM1SZ1UbAPw2fZrYd4hrkYx3OVhw7fLnafG7ekGJJSiUuHDoLMxiGWptLp8CDLeckwAQKx527GbE5nIC423GRBUftQ4wIToCbBQuRhTNvz3IImhOeA4fEEw4iAmYGI+IqXjuEqA2yqChMQ456LIgiRpKZISpASCKKBYBjERdlQsp5hgXLBAUgwtBgCY6ZyQy2ysBGKTgueB6pUDoiKDwJTaSFLm4pHNpgoMaCGcklEcQV2oJp1XszFlx2+38uvv35i25//uLbX7j09heBK+5+OeCel6+859Ur737lqnteuereV66675Wr7n35SpC7X7nybvivXhnS18Y9P7mnDl947WmlcS9Mu/LeEF11z/ir73sNGH3/a9cAY169buz468e+en3M428YO/66MeOvB8aOv2YM8Nro+18NuO/ViR/2KTVUhkdrSdlE8kYlLjjUyioGLECiCQVUxoAQrjCLduRglatsQ18fNw+qsItzJtyKuxAmBKBBg7ogBB87Dw7OyACwRAYqgcWIyBFHzWajo9lAHabKEpPHZEXdLPEXtTBW4baVCh0m/31ZIbOUi3Nylbyvzrfd+0JffzIZ8pJWrIjKmSBWeF6EtwOggNycWrBy8DYnkuCciIdQ8Lidmi+9OevsS+7PltoBQiolq158aWLV6LSw81b/gt//+tvrr/vlL66y/BqrLLfhT9b609bfb6Z+DjqZ0pwZH86b/uGswA1bM8zM7rr/uXcnz200u9zU6u/9/jdX+e7Xv1DzyqT2IBSZF8BRJE7pWJIuiEhcKkjBnPtR5B9WpD9v7uxpUye/8/bbr7z0n2effvKxRx96+qknYl9EtDDAUcnHk8RN8MGMqR9+NOPDD6d/+MGMjz78YM7smV7X5JnMFs6f9+TjDz/x2MNPPP7I44898sRjjzI/DllwyCcefzTgsUcDfxSdQJ58/PGe7m5X7unumTd37vx5wLz58+ctXDCv1debo8WlKqoppXgkJSowyczEj1lMYmQuiPZ2GYSQc1FB+pikOpUB9xM8OJhSpQcq5vbxgaIVkCCSEYLW4TZ/ytZDw9HxuEtKJBBHS4uGQ8VBUjBdZbQXo7WBhefCFnkUBIGMrgsG8HFuBMCVIgEMneASVIAUs8UIJDY6tOmXQ3+sKSm6agZTak9imAQvtL1MLlZYhAokKBdKIDQ0EKHvLrqBQ8cowXG1ReILB7efe+JwSwndSFwDnXfLcrPkHv6RGOHlOBEDpuIyJgCV8lmjUHJxz3k2g0tcS4tuO4l3As/0UiJcciMfEFnEwswWeZbcFVRBZEKT2TMTLKRoh3JgseVyka4QkyFoEoPkkxEp2lnqUMKR8WKNhC8/z09+7aJx15079pqzxow++/6rzmrDfVecdd+V59x3FZxzHrj6nDGjzxt3zXnjrj33wevOD7j2vAevPSfgmgseum7ighl0Ucly0oKqvumF+89/9PpzH7r+nIeuPfvB0WePxfyqsx648qz7rzwbh/dddRYhHrjqjHuvOO2ey0+/5/LT7rns1LsvO+XuS0+559LT7rr8wgeunbFgpscv6xyfZiX5ZC4J3GMFo15Ai4ZJRpkUCSaG0/RoUqDgtAjKi5AdwdTNDIdmDg0iUw4VySxcJalhmQ8rXv1oLLsW+4arDIoiCzOOcgwngLdyNT///kdb/mm9345oDg9HFKDQwqOUQAOMiSsSNPHjTCJzSrPsJBSaOA5Qe5TcQhKqFungNXBs2hrMOAz7SFP+4fxZb055O779FrWVFlt6903/9JPVv7f28l/68Re/85cNt133y9+uWm7Yybr7e96ZNrGv7suuGsj8xc3n9M696NYrFqY+lFCr+nzHTbdZabHl+HqNGkzmyILKST4wePKSpWKOdgpLQrRLRM3JDj6mHhZqz1kc6iJykNgHdBAx/y/gzhf8eKRjTc24Z8cAFUN2KLwh+z8BxTbgGWjjzOAfQ5AmA9hRY8fARE1ihSuhGRdSVNtkQeh8UOahqWww2RuAUtmwZspPP/rgXjvvuM9uO5960j9vuv463vtffeXltye8Bbz6ykuPPPTgddeM/teJJ4zabafddvzzs0880rTMqaccx1eBdtDuBXNuvHb0maeddNapJ555yklnnsJ84pkD+ElnnhqcU0884YRjj+I7yZ47bb/DNlud/s/jP5zy7pDORFp4iy/STlL4I8FgVA2/6fprzzr91LPOOOVs5tNPOev0f515GnDyGaf/64xTID27xwAAEABJREFU+fpx8r9O/scJx//tiEMO3H2nHbb9zRbnn3Hq3JkzOrhBKH1gG3AqK0NEEhgRKUIEKxVE6wSlGISfOmVSX8/CubNnTZsyeeI770x4840pUyZXKVUmoNFIVWUp4afYkKwyhwjAYa774WZOTBYxuprqaqbOpnV1WOAd2MnDRLExTFJHoxrUbAzpSoM7bVCHDepMXZ1VZ0fDhCeLgX7ZQkySwcQBaQalshOu9mivBoEVcxuiDXHy2xRphjkX9KfVhGP9L2ORZojarsECYSnA601ZIxdikalKIjzXQQbMpfggKSeQnXG3tgd3esdhlJAbw+lOlpQim5AWhFJrmAaTGzKHFL+hi7pnquMzziQQSWwDXl0My9n5RAELwCAW/GfZohTA0CZTgdFOtYfxwodHGQhywzbS4UFUVGNCzCe0TOiIFLkkE8NwRb0pgwufhhQPoDCMLHEFpkqCsspIuUaJxaxK1CdL/AQij0ySmbAzN0kGB4+KYYRCRcGkV2aG0M3qqjl1bn3d2DevGjvh6gffvnLcO1eNe/eKse9ddv87l9z/zmUPAG9fPvbty8a8Hfj9Ey69f8Jl9711yf0TLmG+762L73sLzoOvzOxXV3bPOffkjkdenX3JvRMuum/ChfdOuOCeNy+4640L7hx/wZ2vXXDH+PPveO38O984787Xz7tr/Hl3jr/g7jfOv+v1C+58/cJ7Xr/o7jcvuffNS+5568r735q2sJFTk9xN7TQtm0tiMjNqQORJCiwbIz7WOFQom2lgYABAZMPQsSVDb7fUvdVPto7EmKIzoRuk3GippVSpwa9xsF8EYZuDcEyzu5GBu4xkJHA5S0rc+RZaA1cbdxQBGaOnl4ej3MRuQSaFSiiYtTlaNEJqITWxWJKajeqZF99+7a0ZSs0ch43SkpB6MoG0X8nMZZKFASc/VILUwAgcU3Fe4XhckRoZ8FkmEut4+qUpF46+r+pImEpmlhb26IOZ88RNYob9oGb94++uxXeTvv7c1+/9ffWXVltu1c8tlXMrKfLo6fcPPprHoy12RZLprXcnP/j4+Fqd4oDmeokRHZus/7UhXY0Ue0dsQGWQEOkYuDE8gxSAr+C2J1EBJsY3NQCDD2dMh4cwBFTtdUdHR7Ojk7dVymo2NKiZiAaA8Nj0OkcDHIsBrywEZE4pBcLFJun/YYTup8Q8RsjWZCYBUgRgDmjl3Ffnfu6QoBRyV4xQJAxEASoJbjQeiYlmyUQ+EjxU2NtSp8OO5tKgRLmZhwLHXzGMwAN+0EYqEQF9mBldl3DLRqEoCYRZJFuESAsZfaScHM8ZDNW+BXN4Ch/cAGiGEhephSp8w9bMKhY8etGWgisz/KuMLCpyK/lLLoUCfixW1IQoCpLE/gnfIYCSQsost8iAl72MORc6nAe6IWzicvis5CQwGsGCSbiGZkkoJ2yysoXXNhezcIUcS1ISWmFWt+tHH6fGyCSApnBbYzQgUARSzBSXjDpVC3ESbTa8YsmSOWISUSHlbFGY55RkYoS+q/JCuYn4JIkK8nArA4GUOdpmGAWSQDAN4FXYzWlLxCZF9+ijCQ0zPEqVys0cnJKhYUYp7rAx9XAoEqQ5KfWn/Mqsd69/5f7rXnng2lceuO7VB64b/8C1rwFjrnvtgdGv3nfNK/ePfuX+K1+59+pX773q1XtHj7/v6tfvG/36/aPH3381+Pj7rnvt/sn9M2vyyl5nX9jMd7375NXj7x/9xphrXn/g2tfHXPPqA9e8ev81rz4wOub7r3nlvtEv3TP6pfuufWXMta+Oue6VMde/NrbAuBteG3fj+HF3vvnofO8lUxMpG+mWCgTi7maw6U0gZqZ292mEqS0whCpWUW9WDtrbwuDgw2kfPjOdQ5rpZDBZKvN4sslTsjpn4zM4DEPKgXHaGVAcOiGxACyJJNx6WsumxU/Y6Yg9N99+8eYwOZYWW2IoGNpElHCfsSlkRiqRNQDDFSPiGEl7mwwWMhYz7Jy5jccMQ2GvGOyo154pTbJsmjJz+vy+hSI5udX+pc+svOqSK6llVltqpeWHLr3uWt8dMWiYUWPDauXZ82cv6O3O4aHU29Btj9/72oy3rVlJ4nG8zupf//laP7Q+SSrJJZk5LRXpRkSJhLAtBbrMYRgXLNCaihwyScz6/zaMdM0q/ojqOYnbwnDpCocQxA8sw/s/3VsZ/yf3/0LjBPVUGk6p+AeoVREIoRhmMjOVKl10IN7fokSng5linSw8bvBkebFBzX+d8LffbvmrO2779/sT3+vr7ZXog/7H8O7u7onvvnvbv2/eduutzj3zVKt7Gzym8Oltf+6ZtFTX/a3+vv6A/v6Y23hvf39vfx/Q09OzcN7cOR/MmP72W2889shD/zrx7+t+99t/O/KQVC/s4FVCdE9uFsffuXVLGblV9/e3+vrDeasXpNXq7+fPQx/PfX0LFy6Y+dGH77791mMPP3LUYYf8auMNn3v8ET55zXNxQUE0ZVFpBhm9ccUPvZBgZffQzq5kNmHCBDE8FGJyHzRoUJUq9pWDqYR52Bgr4tCk10VZ9BkWoJxzz8L5B++716H7jjr0r6MOK//FysH77HnaSSd+MGNG2CfihvFLL7141GEH77fHHsD+e+5xwKhRB+096uJzzuQb2qL88VtzsaMuavEYFm/yNN6iTvyUvpWiMpTAAsyCr8iocIV9O24g+BGaRQoOoA/nf0JRCTbGgAc6cCXBKFdWNrribTrSIHgQbU2z5IlwHJY202RI3JgBkgS1BJNEmJFJ4UVyoxWm2B1uMc9uZSSJlVlcH6cIkyc1G0KWiHMsXC5TFU03xSCGx0qKsQhNwEkuHHFRDTqRQDCFMjufoE38JJTNpDAnlMgRNebg0QXLlZmhWbhmKQcSV6jiicVolygwTp+SSRYDjhuEJJpplYqaiRLBxHATP2YGnmQMEJIId4EZPJep0dWqhrUaQ/vT0FZjWF81tL8a1FsN6qsGddugHhvcWw3vTcN60pAeG9pjQ7rTkF6gMaivMag/dfVVXf3WWSvOVztEq+rsrwb3N4b0o9AY2moCi7WaI/oaw4HeNKy3GlbmIcTqA6+GhsNqSG81tK8a0meDW/GeIaMo8pRwa2w4zdYng6JlUQKs5PxSMTYzR/8pER49dospdgesAIyEDNUW3qJ4pQQnHMEHzCzcytnCJHB4Xi5TMqe1RcHg5ToLIkJGnAxuZilZ0qcHPKMS89g6BFbXzFjEGQIj5zAw0DjbLPg2SOcAt7McyB0vNObyax9qNIdIaAgvaEkZJ1hBR2IeGVgoWAxOSq7NW+Y1IdFpy5MTFq2MoYvDhS7CgKo59Jqbn35twvSqShxSWN29PXX2okHAesklRgzuivdUF2+cYu5oNJcaOUiOlitxjNXT1zKaaGrxatXT98BDL0+aNj812l+h+9f9/hdXX3kFc8O5SNUCcS0a7kZgZxHehQKrq2YDAiGMvCRN5TX7kP3NN98SAy6AjfviIxa3qtnTzyeaHhz3wP5773nQX/fiUXvwfvvsudtu/MUJT+El9LEkAaPjNAJraNhEAPm/A/nmT6ROziLtqsLVJ3yKyLlWzhb9pyUDFimFsmQyTpXEgtAW+Sz3vkMZExXi2OMAhlobJ31LlvjAkRLqhgsxoS80FcNjx42dIh+XGbTB8pw5FYJytNxiOKZCJXCZYokDl4SmuXACgmPFsBggxJexumKrzTguSCg5QoW5S23I8rpCM0g+wmkzWkphbM6PUZ15YF4qMlcYlqzIQSakwqbCtbssY2tWtRUsFsM9So4TBU2M4EghUIxwpEwDyApX5CyELgaGJXOVuCHPcJFqwIglGZ4MPkc6JFzYujFgiriExLtzTiVDmRshNdgcy9m5f7KLGwRdgqCtCiW6REbCLJTkbBbRJbQM14RPVqRiGBfghDWYRQunkHDlcaayiBSUmUlc9CuZJUGpjLDmPcY5kQq5J95KyT5JAzpwFcPJqvKs7NZb1QubQKu3M/d0WU+n93YB6i5zT1fu6ch9nQ65oLOe1+yf1+ifW/XOa7bmpZ751rMw9fM7mczvRWruRx6BrZ7Uv7BRL+joW9hRL+ysF3aB1zjp6fDuZg30dNbdna3ujmAyd3fk7g7v7fCeZqu72SKfuspKlBZJG1VaQSQzk7HExOWBZpmDS6L6kBsDhlGaWKN2U1DZ2T60LOPS6YBU+GIYKsaOGM/FRmUEr72Fdelk5qYzKckYYvDdJGKawYntRNT47prr/H3PI3645jqJp6MbyqHIRWKhZ8ILN3OqJJMw42Ay48hdApjieAWlcMCbZsFV9CWZUQaKmUtIFQMVDnx2PrTieNQg7Ks0d8F8F61Bx6h1icWWSMWprDLxZ4xq6cWWGrHYYtZIXpk1U1/N+3uNSaZFld754L27n3twYe6TwsuSgxbb+iebD6uGJMM+GSefwBwf5ZINh9tESi6FOnlmsnKvEcct4Q7SaFaNZqNA8+PRaDY/gUazLf7vuWFmGhjOkQbtb/W3eZGFRD6Njo5ms7PRbDY7OhodnR0FOju7Bg0a1NnVmdgP2mDFj8nMGs1GE4uOjrZiWbo6Ojs7OruqZoeHClo8uwDTohGsASqxXwA3Eg1LDgkluuEKY7G3yo2U5304dZutf33yif+M/zjC2/mqSJn/J1gyzDVv7pxjjzrqyIP37++ey7cjmKiGJKoA/Rjyx9jHCAm08Y+j5Vx3d88/54xTf7PZpi8+/WiV+yXPDDbLuXAsGSU4/DpjZwIjWeopAAuAuQhyXdfjX3t5619vcfN1o5O3OM2ox15zfzklLPIg8Molcf7REFHCtZQ7munZp59GsgjczJZeeimc1B7pmSs2Lll7RoqmcQEmU67M8FpZ7l04//KLLrz0ogsuu+SCyy+58MrLLr76isvuvfeu7u6FIjYlYCJNnzbtlhtvuOySCy+75KJLL77g0ovOv+TC8+689d9NHBHMQomJpxkWMGRQ7Ckd4UngToKhIuPHZYZKvPNRO4C41FY0/ntC9N+MoP53piJfxEgBkE9D+LfCMCu4BeWFI7IJKi4+/wrTzMrJ8aBMhnMzJSUryg4DFgWKAS80kMYnmMVzQO68HoQxLC/PFRQBiyzhu7KJGAaDJrEo4yRy43QB7pAlGBaBc9oipNDDDy69SEtGTjzUDI4zZHiV3EgQkUQoJlJh0yVIoaHgcjk7UQI45WFjKOAkxZ3pwo0iNHGSycxSYspmikGxEqjFFJm5SlFWhsIYjI4wh47D8dAtWilFvU5SJG5VVrijcEcrsg+05n7hSDulqPAlM/HEDGWOkdqDvEHckkyONxmjcMyDA2ouowUezs2VMoQpF+WI5HIUZAqAKDxyoxeOllCHiyWAz+Q8u+m7qwzHCnGGwEBtSjGcCRYHvY0INWjPLssxs8KSWXgrUeF6udAFvBgiJybpJcgC7k5rozN4goMMJSBwCHEByliYzIyto3qTKEtm4ImgrCBONBQAABAASURBVIFjFAnACacWA1pCI3JoVOmpF999872PPE52O00vixhgkWUoBy/nVt2/cHhX/fnlOtdcefBXVh682me6Fh/iVvd45hPIaGA4RZ/FIp/IInAT7xIdw6++8ZFWrlMyBp84VarI1iTIVqtF7yAjqHv2mjb29mfjPFXxQOJFpKPJF2DRHt7rX31z8tjH3/DURZdz7l9phWG/+PFaXZ0NfGFB2sUb+1NANEtOERFADBd8dI1GmMMAYXY8E7i/1UpJTzz+OOqYDcyuz33+8zyLexHX9QvPP3fpxRdeejEPzfMvvODcSy66qK5buADCXywRjzQAqMGDhwwZMnjQ4MFdg4BBfBjD/G+wQYOGLLbYiGHDhg8dOnzI0OGDhg4hxUjbadInuv39fW+/+eYrzz0z/sWnJ73zeqPyct7bCh4VSclLhYJMVsovhYQ/SSZLcjFi4opuSMZQVIutCoW5TIzQKUiZpLamGDDcgzQiCwGBCpZhBBmBwlwx2K7ADYG7SA1p6IUMHkuIkzFS0B6uvMwhc/gB4EqSSVwmXsOUWLSoEcmxMzGSkkAg3WLIOOoEbYPJDCXmskR2A2rCTjL91whliyECxRpnh+zIua0HQiSTSSlHCC5TaWemsViJ4aQAigACMJE8pizwPBu6mWOclWVwAIowx7UkKHSdFQyn4jIDh8VZ47y4C0snbBTEryZEGjAzi7DzUAsL+NxmkC5Q56njiAGHzsEqmjAITsZwAUJBCq5INXN2SMyJxs4LZwpDpHCZAYcj4jkTxooUTUbRSarMK4njyPOrDeYRWop08WHKJhdM7s5c5xY4IKcfIVAmtEXutWekme9edZ15fc+elOP56oQIaICYNwpEXFfl6LhZZEgagIhVygtWuSg8Mg7ckbpC28osijCGoD7hZzGcHKMCIQKMUg1rKlUsMSX41ARKQCsaia/ONfUkDyUmhGCeI4PEObdFPNKUt3L/U689d/xlp1x091Xjp73lDcdLsnZn80BikpER+YSJSAK+hT/hGXBZQkSZktFm0Q9zR1Fm+rgM1DAS7VYZIXewHK13MAD7ZrPCNGMnKFvY0+N4xpEYxnCn5qJreLdGo0oVH9zupu66597nH3pjxrte4T13KP107R989bNrVs4+UTm5hGGoOsaYcwo8BqFwG8kTGAbKIBFRqdruLzvttOuewC677bnz7nvustuoXZiB3cD33Hm3PT6GnXbdvcAeO+22xy677zFixMhwYUpJ7dHPF3zhmfRIQEOHj/j1b3+/w2577rjrXn/Zda8ddxsF7LT7qN332me77XdY6bMrYWUxSDeyXX75FbbZZts99hy1+56jdtljr5133/Mvu++x42577Lj7qL/ssfcvNt580JChoT5wiRuCi/6FH0o3K82OBJzNKQKnKxIJuZSz5xJq6ntvH7jvPvfeeaehq4GBDjBAYIE35qALliozo1T8XXLJxYccsN/8OR81ovDop3J4AtP/+yhByhTBcVfnZ5564oB993pk7D1V/ImTREk29ghnYLgFlB0IBG7bHOT/AvPmzR21266333wj9zG6xgHI7iYimlNGaY2yYjWGvNwEEmXkVs/jjzwSqhoYPGxXXmWV3GYZXrhSRS8sCc+OlVxluN4Y/+orLzz9xn+eeef1ly33Iy+AtK3SniFlhqtAFBqS8MYMoOOy4DIBVF0OLxl44vYNGdro2IA2GoJLbdybNCpm18CACxaqLP+PYPj4b4W2E2szXWbG5UFaTOVKVF9Y5AcDATc4DBDnkpggydE8cLWHgZvKRNvVVpUrhskYTEFwRT1QRWjQgDu6MGIP2cpCQRIFIa0MBhqBcXRoZjGQTHzAQraThSwI2gFeBO19xbiILFpdMpTMMMdd6JGwCw1EgLDEg8oIfiAoA4FxOUWYBBTPpmQxVDhMIcCRGU88BArXNIxVxg9gFgQX/oneJisqLDIzq8K0ssTg00A8IEwttsfEBzGbkrHSwFNRrOKBAGQSb/ctkEjTlWQq2ugB3D7MBlNmZLAIwgAv2AQnJLRZAmk7FMMMklVFOYElmUWTxQKIVSYDRJTQk7KsEEyBIWQpzoPDZTEkN0MADZCyLBmMRCy5BwN+PDmyipqL72DWnwdex4NnDNgqJ8nVdqlofTghERx5zrQAH2iZoVMmF6gxGRzJqsogJBmDFkrhxiXBB/BFSjQLx3BjZzIaUGa33PFUag5xNMVwsogFUWBlKRnk/oXLL1lts9la+/5l3QN3+8Uhe2x4yJ4bH7zbevvttO7vN1trpaWaqnsxJBjQRpgDSMmCZ1XnaxM+ePWtKY1GMmnIoMawYV3efsCYfThz/juTPuAARViLx828hT3vTZ6ZqoaV0dHMiw/vytQhtdxvvP3JWXNrq3g54utxzyY/W3uVlZbmtYpO4MFMHEKKUQxnZEphYRbP3GiFy/haFfKB2uWiUaJceV4wf84jDz6o4BWVmGytr67d389rHG9z2fnJjJrLeXkI01D6+KJGQIRzrfT5VU4544xTTj/zlNPP+hfzaWfstc/enZ2d+tRYdtll9/nrX/916uknn3rmyaeecdKppx9/4smLjVzCI2f0ijNWac7s2RdfcN5+o3Y7cK/dLzrnjAbvjrQRPYnCbWConEhhZkY3mD4FyThnJmO0S0xKikGwaDFiC1Ia0Esmg6AhZvBolRScUFaxNWhkcqaCYyJ2wWBAK5sZFjGVNXBHhpobtjIyKAj+EbqMkcocYsHg0sAwyygX1XjCFURwAtheccBBnYQVbI+pXHCSIQKgma0tU2Qhg0IDd+Ek8rMYwRKjrQpbwpIDZW4ggGIEjh9D6NCmMjPRVghTjoYYlCvKxW3mMotflILgELMChMe1FRxlPGWkAGqZ0yxSLIW7khrKsKXgoeKSrD2wQwKDnNvOFG4L6sztJqLu6GAEphjkiFQm55LjLLiSmQdfDGRelgFGFmnhBmYUCKaCSigMZBVMKJMFxMTBs1BzvpsClvmSyuuTDLMk0nO0VAbGuMm1QijKkmgif+kwrCI4fWnVfP8Qf+XivkTZYXt0RZYtWaosNcqcUsVfB5PFkFV4jI+qUJIl/GIUGUAYI6W2JujHgLc2O+YQi+EYsZTcSroiicJoT8Fjq4KI9kGWaISnV17MWq1+yYqj4gyMr4NwZHx99LYq2mKQjPhb3FuzJl50/9XHXnPKHc/e32f9pSMWaRna2AcOhoFYTGWwBBSHMtDCBWujMXskBJJESwQCDGjFAmVmKRqaVJmSyXK1+PDFU6o0cDb9nanvzembz7sPJz8Zv2mrJ8+a/tH8eXX23Gop10O6BnV0dMVGK0/44L27nhnTE++vogWfXXz5Tb+z3oiOYYTHuYgG6H8bdJJC3XKBoNCCk1I2O+jwo4447h9HHvfPI5mP/ecRxwd+1HH/POr4gGOOP+nov5+4CE4++u8nHfX34B/3j5OWXHppgiolT0l8tstbff10Bd9mSZ6GDh+5wy67H3zE3w46/OgDDj/qkCOOPviII3fceZe11lpr/jz+RDQ3U2aOMxCXlD1XyVZdZbUNNtpw5113PfiIIw456ugDjjhy74MPBTbe4tdd8V1LNJJCzSQzI54nswE0J5NgiQUxlYphrBGBJec858MZ5555+tgx92XV9qmhlCxZlaqhw4Yvt9zyyy6z3JAIR3dxyIcYpsoZP86xveH668476wyreyuVWOSBdxT1/+ewYtZWNpbxr7567NFHvvHqi4Oaid7BiTCxDNwRoJ/AJ4HC9hN+YAOynp7uk//5j9deeqGKeynjLXt2WkGqxYgJCUDHLL7O0zhvJnv6icenTpkcnhZdqarWWGMNxGayGDJERt/dDJy9p0ugcHXJxRfvs8eu++6529+POmzB/LlwQwWtEP7XRSs1wG/nHN4Wcbhfws70f44q3nmIiCQ2u4gxpA42gNqCYYY0kLZf9gtiAJfMBqT61DAL5sc6bUmw2phEANEprgH4RDchLEz7GMEbBkUFNFZ3Q4et9aBAFYy4AudyXlMigDMgRXvDorCigvBnYVuubMSCVWLDwRGBYChhgV6hhJKMIZPKJcWzIyhpgGFwwLHFj2lgkCakODcEb3ONWx2Gwp9iLmxiBZG4eXAEy40jSz7iduG8FQvIjEfFQGrOBwoCSnVhgiqBSgZoKm5rCFlGVyoofMBEGIshAyejpFRZCrxKkQNsqMrrVPemvrnW/VHq/jD1zKxaC1LujcDyaBHORWWElZTBTDzEEOWkzBM6OTO/i8zGYzkgm9eKvN0ibZLBUMYPJQBQzhUQCfNwUU4546c9G3jmgxw/YVR0QjkuksaP5FRuZoHADnfkhyZATLnMECKW8YMKs0kwIymqkLkalRlMtBVGYgTJIvxg7G79/a3gLaLRNYcAHL02bqgjIAOPbcie65wRh9NYUKRjKZRBMTXv6EhomBlRwlqWvKwoiAB0zmAgltilhKsA2fvTZr7yxlRLHQp1QlpBFMMhWesoz3u+9/UVDhu18Z9+9f0ffGu1L3x22eWWWmLZJUeuvNIyP/zGan/a8ntH7LPxt7+8lHKPksyAhKVF5FhFbAVz7gJ/8tm3SJJ+J8tfWGWZXLeIgyynQZde++DCvr5BgxqDBzWanR233v309A8XyPiNZm2qhw1uLrP0EjmraqQxj7z47H8mVc34h0bq/p6vfmmFDX/y1aaIJ3GoJBPDYjaevmJDoGlRxIKSQ8I0M5jZ6uzO+WD2GJnftD54/33Tp00NtbjCE3YLebCW08iGoIgHHBZfoVQuNIGCkkVBs1LnsJEbb/Hbjbb4HbDxr7be4je/XeEzK/Ir0rZee15r7a9u9fs/bLD5lhv88jfr/3Kr9Tff6ucb/So1B1MyUdo67bnVak2ZMvmN18e/8fprUyZNSp5z9toB1lIbpccREKvYcFIvmZiZrO3Dg29QbknBZrfMkxlgMRatgVsSagUzfIUtaxw9ldVy22nIksEzg+ECkzisAg28bFDIPG4YN0eqbIiMAWEpkgmGW8yEgCuzNiFL2AAwoyeIiwu8eQxjIgeFgUlk1T7DA0pSSaRog38Mhi4Ec2AJJ4HiJIALCnEgZhECd+iIIwPbIlNWwIoiOYIQ2AlEwFDzyhSNiaRLElE78mKAjpSLCLcA3Gi44CLzKIO4oACGYZfN0AoNN7HrzC4VHzCVJPakkOY5oWtmci6srB3CQoXNKfmapKikpC3Jyk+wEhgrxsEVo63DbJhCExcgGE8KksBlzEKBgwmbcAOZmWRmXCklq0xAbGgzp2afGgvqNLu/mtnH3FzgjT5r5oq/01h2IwkTozimELoVjUg5p6yUrcrWqFMCJ14uYUFEDvH1JAtjI2YjNxoCqqbHv/beUJWKa8SVUoNwOTXr1PAEabKQyhhlYjWTAFcZUOHAcO1wIUlNyuAiNDqBwSu5QMpDJwVWOuLICpFdNI/ZPff39XEne3asYmfBQoddk4JJ8AATjXEzE8/Ij4ZJAAAQAElEQVT6htVd6dWPJpx99+W3P3Nfq2pxXqwMmdrDBhBsCyPoMA+2DcQgqRCTFbEFChTl8FIUwyqIAYFZNECJRnHIkoxTt8zwpUYOXgxEeEj25vSJtz9xX6sjNwdZGpzemfP+7U8/MK93oefaW7lDjeUXX7YjdeScvZFveOT2ibOmqkEG1lmnX35nvTVXWM0cvwT2JCHwmMVw/NOkAoVkIqYbnQnFIE1xRvpa6mvl3jr3tNTbUk9/AZAC3S3v7RfQA1J7D9DvPf25v1ad3YxXHSmxQSZLdd2iN6Rh5pYyx7cy9XcvmDxpwiPj7j/vjNN332H7bbf69QH77n3VlVdMnzYd5TaojKlTplx++eWHHnLwTtvvuNUWv9xmy18dfeght1x3zcQ3X7dWX0cjNShSMjMxolQSMGOLIU0JoGqj4SYTgKKTDXeDrATKqvvHPXDvTTdc171w4ccHBjXUk1U/+fkvzjzvvNvvvueWO+749x133HbXPWecc+6P1v1Js6PTY2QXr1u1pJzr66+75pFx48iKHnglAhER0cdgZptsssm++x+w9777777nPn/Zebdttv3jz372iyWXXBpRMWjrUolzut4YP/6g/fZJdQ83YdBxwUbaViuz6ctf+fLhRxx56BFHHXToEfsdcPAuu49af4ONFltsRBF/PFGQvfP2hBuuuaZu9eECkNMFckSkSIDLkgWFFU1TkldWX37xRc7nOLwCZpbreswD9/cunNusZMo5O4A3QQk5u1JJbANI+uCDD14f/9rr41+dMOHNVivOA52jDP0vw1S8FEngoRkccBKrcI37Iv1kSinBNA+hF3uDFpdJFAgvXEgKWjE+RoLAhKPQxj49u8JjMTU6gVoBbL0gkpUfQpjBYXc49YqRmGAxK1i4Nw814S0XrjDlgi2GcwFRLZxwhAk3MGc0ROEKs/KQCDuPWj8+5TjGVsYrWfClnFCiXWEanIy9B1HUHCEQsdSWIMsktmhLiCQ3EVvyMGlfcDBTZLWIIa/xUIWSMcRLlbBDzeRmhEiqCqUyEmw3wcEMBFQxEsbtcnAF00issNA0meEsPnvcBoYr4Tyy83iqZ4U+szDHH7MJFePiNmyqv+r+sGPBlNWXaP3q+yvs+es19/nNV/6y0Wo///KIZRtzNXd61d9dLMODYpiowpSUq7q7o29mZ99HnX0fdvR90Oie3uyZ3tE9o7FwerVwqs2fludO9YUfWr2w8hZ5KpropGwQ3BQWPivLjXpeZz9+Pujs+6Cj/4Nm74zw0zujI5Cp4WoBacztsP4q5bgHzcosUqkUHaZQipbirjLHeyCQgHEtAnoOmTzjwIoLTlOzg1+ORGZosS3Mjgfq49b1krK0YGFP8JzKQyBW7nkXrXVFFYEldoq7mvikZHXmoR9/DSOWzBQ/csNGCiLJ89DBTdhmJonJLBDRFuqReXJjuAt2qmWkLclT5c+/PLG31VA7lxB7CEgJMRizG9+gvrb6kn/deaMvfG6ZZqOqW6QEcA7Fr49bOfMsXuPzyx530JarrzTEcp+IFT2pOMRtHymWlMgjpzffmf7BR7PN1Kq17vdWr1s9EvdUsqrzoacm7nbgpadeMPacyx/Zfq+zb73vFbdOzzX9q1vdq6+6/LChg2Sat7DnrAtvt+Ywqxryuqnug0ZtPjiekW5JZpXFIpMxklQl+imjXnYFVoRT7CAkbMmVTHRFdSYUHch93fNGX3lZby+5qQyYoXrC348//ujDvdVdmdd1HaZF/KkJTSAYLoKABNmfracFeG8rt2ono0suujjnjPhjGP/aay889wwnk5b3Z/Xn1EdjyI1gjmb4WaQc+QZuavL3Pkt8QmaU6TAFUlfRNSsnFBymDE8x0RGTWRxz2M4lSzI3SWaKH0hxGY4QiEEl7hFEoWBlZkoOyep4MwucDMRwDhtgnCTXgC+TuOsQmtAkngkb4hCDDQAnD7SNERIuU3uYLFkKVVcSAGlmSdihYXFBUwTbTOxol1glCxk7DOaOaZCEhm+EEhvuis9VsZdxswTTDK0MJ8BzDkehHYgX1+bRbOKDCHsChIIzFEEyJUkkl3FhDBoFVRkmIaIPMIkup8cWgWvLWSYzl0xllAbixSlKOQy4uHlFktz1ngnNtwyJfYZlRg6sYrAQykxmGKAIT1CxtC8LyoSvUlYgTjVmOEHDQTDDT+RrMQUuBy2AN8UVXBJ19A0BfpwPKDe81m6oINSiAQ5IaIq8XJ3e7OixPG3BUvMHrb/St0f98HeHb7TLYevv9Jdv/+pHS681cn5HY3aro8WXn8rY/io23CpTMkvW8DSspzliYXPEguZiC6qhC6tmv5Eg4kRgOS+NliMOFFaduRo8P42Ymxaba4vNS0PmqaOHRyDNU2efDeluDFvQGDo/oTN4QdXsRZTMTIBkgBmzmMxALAUqBhTAhoBLpsxmixSjM4p2WraUReHuFgzTwEisFoJYXZ7RVOrr7efmB4wHBdsOuNiVSkZCkqPnuIIpUZ8ZfgzXuaHpvR9ddP/oFya9ak2P0BLBCCG6kS3RQxD3YFuWOLoQRDY8h6ahi28U0DOiukGGooiLEDQwN4aUZIDFKIFMlnzk4BFf+ezqiuNsqtIc9Zx628X7nn/MWfdddfS1p/7lpP2efu+V3Mg81qW8eMfQr3x+TcpIDb087Y3bHru37khKxi/YVl1ypd/97Fed3mjgFb9WyUxishSrLH6MIRxxFXCSVmTNAcxOFlGmFHsSpPvHO4FmPMFdrtge+Nnj2GbBiWqjNdz9BW2HAm3x2LeBSChOn/rurzfbcM0vfv7H3/vWn3+/9fHHHHbbLde//J8XZkyfTgOKniLDxFSZJTh1Xc+ePWvie++88tJ/xj1w/wVnn7HPbrus94PvfXXVlTf40Q+eePghohABA4sNw7LCilgcMSN9OVLFBc9cwqkZDFBw71k4+7yzz5w7ZzZW7uZlkMyIxUdee8NNN9x8+6+3/sOX1vrm51ZZY6VV1vjCV77+q63/cMO/7zj5tNNSVQJlYmAXzZgy5f1bbrlxwcK5on9uMYiD30VAgr/+zVZHHHPc4X877sjj/n7sif86/ZwLbrr9ttffmnDSv05ebvllP1Zs25HL8889e+ZppwxilyHc4ZvbIrVYibLGl9bce/8D99zvoD33P2Tvgw8/4m8nXH7NDQ8//tQ63/1eaLQvw8pb/X1PP/X4hDdfd+fT25EsuqJN5nEazONWcLrl3mzo4XH3P/nYo2h+GtiUC88/b+ftt5sx6Z1m4k2Ar1C5lT27l1Nvxr0TgFH7gICI8rs6m59bZeXVv/TlNdZc60tf/uqaX1n7q1/75re+8/3vff9HP/rRuuv+5Mfr/uSnjHV/8pMf/ujH3//hj3/8k5/+5Ge/+OnP1//Zeht8Y511chy/cPXpy9hzsrWQUWRbRP4gzG4xwOM5K7UV2sw2rv/LwB0tbwudW04DtlIg2OIc11Eep0YMM3G4xCiLycxUWAYPyHAAxzISNo5OaJrRNINLCWgJFYVFHkgTtikFR5iRFOrMGBQyF3eIgGCLZN1zscKPs6ku7hLpY02kKCPMsZQL9+x7+MRQqDtRMFV4Q8NhhSTy9OIJ3aJTy5GhIooxJkfCSfjYN9EtBsfDioq4QUACjCTCHB2FTkpmUvvhZTJBmgjA89cYwgFBRQFuDCR4UdFgFqGdpFNYplzlniGau/LQ+X/Z+IsXHbPVaQdtsceW39vyx2tv8cOv/mGDbx66/U+u+vs25xy44YZfH7lMV3cz9/IC6OEFr5Ily/U3Vxt51fFbjT5269HH/fba4397/T+2ueGEba7/5+9vOnHbm0/8/Q0n/O6ywzc5Zvtv/urbS606omfxamGz7itNKuZ4kJlyqhf+YYPVrjj6N1cfvdVVx2x19dFbXx0Of3fN8QHX/v33Vx/7m7P3X3/fX6/549UGfWZIb5d6eYllN8yonc/l2rh1Eg+VICWevxJVatEwySJnNxlmojtyj/47W+Hq6mw2Kpk+GaHFxioF05jso9lzWPHgRebGM9Ayt3a8LTukDFYtE2pSzdzfavXzvYTmW3jGUCkFJlAQPg3qYcM624kYDGHrqCRjikuuZObJYlF4SWaJy9IbE6a0ahNh1B5GSRafdLFFbsreWmq47b7deiOHdrkjhG9FFY+yMvCEqKvZOO6Q3y4xrGW5X57DFHuRkLlhkjOVJZvyQff702Ync1yvvebnvrTqsrnud+RKVnVN/qh16wMv3XDHc5M/zPwxyAjiua57BzX7Nlrv2y2+qOR89sV39adhVWcXxVbq2XHbnyy7xFA0SSPBig10M5lINTLFh1nQUq5AlJQM5RBbpg9JlqXarViwCX3Xj77ipRefRx8v4aJc6Pd0L7zovHMO2HO3d994eeklRq7KWG21VVf74mpfWP2Lq6/O8SmKA5NJEU3yGGIlkyrF79UuPv/cF154DtYAkE1K7096f6cdtt99px0mvfVyU31dTWs2cGmVJbNwhrINDOEalKXRaHLHk5vKiEocYRDORKOt1BVKkYdTpni8lJVHlUd6PEfQBXjhwCrmoqswRUOiTawBOAoT7HPGDr2MfmY7YROLOh0fbLDhkN1AAwRwTkVY1OCkgHPUSSf0uCAUVEEdysGSKbCwCK9BugwyG92MICnUlIJVBPDpGiRImIAVPiWwywK3zB57mFFevMCoPTJkG4tKqDUIQwG0rS18IiNNoi5qoiIdWGojufYsz+Yh58Kpl2A8wd3FMAwQSGaBmSy1jyQzqaeEMS48oSBlJTFS8kDMogXZJTMuuYwfbne64Z6YeSvFXpzn2ClJlVnxEBkZCpQpkZJnhIsg/ICbZzNWFHKEk7G5MpcZbA5XwhC5oxDg0ReXZc/KmNY5y2RmpEDjLLgexwSs/b3bo5lee+XW0ZtGdHetu/zXT9/uqNEHnHHYr3bf5jubbLrWjzdfe90dfrjFCVvve/WoU/622ajvDF99qf4hzf6ow1IjVRXQqBoj0pB/bnvwjfucedNfz7h5n7Ov2fPUTVf9waC+BtmSDTOQlWgKSVbKg3r9XzscduWeJ1+957+u2vNfV+x50nbf3yL11I2sdT675rm7HnvlPqdc+dfTgUv3PvXry63BNpiULMpxiiVzM2o3RqKj4EYIWillQ0sZKSvc2HyDh9DcGvIkk9r7kNwMKsVsMFnFgGuerKWRzWErD15u1cErBAz5zKqDVvh85zIrNpZcKi3W1aqqXlkrW8vk4ST80lEL68QZaWjqwo+ueOCmWb3zHBXajntDMzub5PCwMCcePMVljobkFkx3lVVlQMhToOUyR41LMtBAuFKqiOOECEVWLT54+M/W/t5izcFmcFUnm99ojX3zqTPvvPT6p+7+IM/PVfjBSn3111b+8hqfW51DNT/PP/aik/LghlVVsmq4DTr0z/sMFq/kxiCrykjFkiXOlYunYsRyPEU6FhmJYbhlG2oPafbYEpwXcEnOygAAEABJREFUKKo4cozYF1QySxHVsFyGhjmNcBApO8fIg2tsr4u4eG/VOWKhSzTJ63rBvDm57s3eqtWf+X4sNzO0UbOUrGp2DRk6csmluwYNtlQZxdnAUBnuLm4R5QXz58yYNqXZrFJ0EpnTZYv4REzYBEoDAnOT0IoNTyYzcEv8+KDOdPftt7728kvYG1c0QAi+uPoaV11/4/d/8ouFfZksW5nnA+6TZ4Ps7rdfb/On62++lTylhD/qpt0uPfPMU+NfeakCC28ys7IGYmVUVWrV3tPKPdkCalvQ662qY7uddht9/U0//PGPGw32m1arbUNfL7v4omnvT2pWFqFk8cNUvElBpYr3Ieurvbe27n4taNm8Xh++5LI33nrHt77zHbWHZ1byevvttydMeCP2PePbc85eRCGFaxDOoMk8GmZMnnjJBefPmDEd6ccQUqm3r+euO+/YYvPN7rz1pt4F8+U8pTKnpMXGsqfKqcqiEda2i4VOLbHUMk8+98qYx58d+8RT4554cuxjj1x/841nnXv2IYcduv0OO2y19da/+93vdtzpL4cefvhpZ55+2ZVX3nDb7dfeevvVt9xy5U03H3DYkQt725+G4ZMGxMKhKhC4RTcsZpCozuK0kK+z4xWCUIorWIgC/X+7MAVKCKzQzlwFjBOXDc8lIJvjhR0TzFiwigwimSIrGZhDG2J3zrxDcbk4tbLwJlmEMBmfTSqj2AnDdgaIJJO4kABimPDGCphk/BBdZZjhN7G5cTk75RbhSM3QQSp8lyQsECsaBhMRS8LazQQktFAJkSRTSjCtBCY1jg45RvJxAMQwLokDTSzHB0tw3GKWEx0z5kKW1WEWCgEQOgQ0DEJC8vTJk9HtdnecSopJO6zjGjJTQ9W/cIXBvVt+f8XjR23yu/XW/uzIIYPNO807TE3zhuemvMt8rc8tuc9vv3fA77/5/dWGdtTzKznBjCH81J1VvdSQtMzQaukhtvSQtPSQaqnBzLbUEC05OC0/vPHFFUb87Osrj9r6O6f8daPdf7nmd1cdNDwtSHUrrM1kkllSa2ijb9lh1XLDG8sObyw3rFp2GHNj2aEVgPMVR3R9ZaUlNv3eFw/587qH/vG7G3x18cWbPSnzu1CZWTK8eKY0V5INtMMcVIoJltRGRBNTTApaWYxkQwbzbasqHINRgK0Ad/Qls9SYOmMuntl6MUymFH4UsSVT0WOONMwrUzL19vf19fUjNE4AF5g7E6bcGmLkvPjwYWwjXIcMQKM4Fu8aSjJTTgWXG/JkxtLd3T9t+pzsSLAbAPhkYWZJ7L3XvfN/s9k6K6+4JC9RchIPNWIVDF482Orsdc48kpYcMeS3v/yBea+ZzHhgJpPMmBSXGGnWrIVTZszNgutLjhj6q42+PnJ48vYuKCnxWduVml1SU9nw3mr1Na13u9/9bIVlRxL78WfffPz5d6uOoYaHuu9rX1puo5+u7S0kCo7aLTGFq4gu2k3aYphRk0LTGaIR4BaZuIeM41rlynseuPOWqy6+sP17QaGCaQErc93qv/vOW/fbaw++WV96+ZXX3HTL1TfePPqmf998+51dXYOKyqLJTKaI73hxvvV0VOqZO/P6Ky875qgjFUwNjBwKKPe3WjfddOOvf7n5+WedOuW91ztTq5nENhh+iqp/YhU2ODFORVtErkiDRCtATv+AGh69oMvMmU3zLDQzpwwkCwJOm59z+8gSEKsqqVFZSo6nOvQsbDx7juEDA/tIJkNmBSaSwlANU/womHxoIadOQWZHjSnDyqB4YJMyFRhiyUyEroKdUSVZ92xmMEwpdDyBe3vUnnOusc4ohiEKOC2lyHPNWxpF1Tk7OiUOR8s9uzuaioG8nZpgAgqBo4vQYrAWcE8WMoi2AYQxoCWnZe5wQoTLwpEs8i58gYnR7jlxQOARFB0qQow51s6xkRmu4LpjAkAxA9k5thQTDIRZRm1uEZ2o7p+yIYbCHNWoBhItXEgmHm4sZorhBgcEz8why2En1IlEFIrhGeIwkJsUgBFaCI1DGlENw9JkeXjnMGEWOdUePY80nSm1rHOefXPEavttsN1Bv9z5Oyt9Zbg6B6nRwf3v/MFKjfhHb6olO4b94ovrnPDbfff4we/WHrry0L5m/IkjnitVsqrhFW/kS6ahwBJpyPLNEdv/aMu1F1+12atUW4QT2TqJuIGljpyWbgxdvmOx5TtGFFh8cF01slW1ddWNpRrDl+sciZMVOhZfrmNEZ50qUU252sWWRpmZ2gPEAyt0PFmCiIvCudeROVFhGP0LDI4cbdjkxJ57YO7ZcSUCASSjnTb9wwUHnXbxAadfvP/pF+93+iUHnH7RvqedNeoff/vDgTv+dJvvfvZri+XB1o+dmXEYTazcFLh3D6IjPfbGsw+9+nTV5MZV9J9NQUkJQibAxCZZIBYkZpGRyuD0lNWMFMEyHtzxDhlLKCtIzCkgJVyoTGFJjA6rvr/Gt372le938jWWfadAeV153bS64qbLypk3ffXkzw3/zDa/2LrKjTrV1zxw01szJ3kjPDX6teWPNvnqiquLvyxETOJFRJIkOomV1CJuXOQnKgw0FCRyMI6tDLVGUiNZw7wCqcTGBMgJU0kNlA0cr574VgikzOMi9OEnfe0bX/v+9773g+/94Aff+f73mb//w+HDh3HQ8WxmKYo38FzXPIA42Io0mUjEZKlr0JCvf/NbO++6x9HHHLfrnnttusUvv/aNby6x9DKWKkdLJgZYxHeo1b6w2lLLLBuYqAgNL8XR+Yxq6YTKgEK9oKUWS0qWKqOi+tILLxwQLFJZdtnl9j3woC+v/c3+rFqWFSfSSoscy3hHsN5+fedHP9nvwIM+s9JnV1j+Myssv+Lyy6647LIr9HT3T5r4PgWaC/C2a9LiTJSE4JQjYkQz+KbarKXU3eerr/X1o48/4YtrrPmxESWBz5r10e233sJvEtGXMRmeij+coeJcqEkENEtJgKV+T/3q2Ge/A5vNpiQtumbPmjV50vt1q0VVdTZuJw+fUvEYrvBq1pHy9PffPv2kfzz84DhHdZF5e3UyoC/ub7755l923PHvfzvqzddeNI6pc3zj0LJmzi1qSUoWqUmp0aCBcxf2zevuXdjb/9Zbb118wUW7/GWnDX7x88032WS77bbbbbfddt5lp9//7vcbrr/+phtt9Ne997rh2mumTZ3W01sv7G4t6Kn7W5kAkWQ7jzIncaZIP+bCoA+RsUG0S5PaNcKhONiJC2aZ/+8T6ghdHAEVR2Vq2yIQcqNIQrtEUH08io6TkHG0CYQ8ZOwU0MZixgMuQ2igHo8ZlNv+sEbF6SAQmNgqVuMguiwMzOVwJBMD1MCQiIu7TqaAAR0JwpEYQ8WJJONHYhpApMCLhpz8FYMECBWYkDi2Qp2VTOESGBowDAwGqMpFMdCYixFY4YY+Eg0QiD1krPgb2LjQgRlqtKBEj7CYBBcW2txHYrizCckRhRtwjkidehd+fqTtsOna22zwtWWHdTacB5aTHvrhQDIGs3gBskGN9O3Vl991y29t9r2VGn2zk7KpPYzXoIJ5ZALmBSlTW4fUKqnpPrKrsd63Vt5r62//7qcrj2wsqDJ/QiFP7Ajr/a0a/YDwwGFh68gHqbfvZpQq8VUwr7niErv86tvb/nyVpYa0zFtomIzIMVlMgZcLCvg0C98lNdkiAY9vuYYOHsSXLRD4kklcxmB1UJbUeG/SHEn0NEdqClfmbR3uX0TBkoWxQ5kl9fT0L+ypLdEA+i83wFyhEqiMsfiIxeBKxSl2HqgQ0QMxKF8og5kJoGWEmz133rwFPZLpk2GO+GOO56VGdG7886/WPBF4JGDm3CCxsP3clM6jLbN9AudTtdWq1/n6KkstMbz4wy2FDqC4xUzimZ4/mDm3v0YUH6zf++YXfrv5OsO66rq/xwkRzzuVAZbrVs+wrvyHLb+3wU++xofZjI9m33H/c939HZ7Fd57FhqbN1v/6sMGd7aapZG6y5E6zqJfumeGMWllpCrhoCYShzSVObE5JfAsa3GkfTnnvgjNPPfmE4955O/5HZRoY1l4X2Qf1/PPPHX74oVeNvqpV56WXW2HxJZcducTS0oCm/ntwPLo6eH3sf+axh4476rBjjz5iIb82C9242rpxEjwmDuqM6dP/deI/9t971K03jE7e/utr0SrqaDU7OlZfY811vveDb33n+59fdXV+SelKojC2PdcotIEe1+xK3XrhmSdOPO6YSy88v0riu1NnMw3uTEO6GkMHNYZ2NYZ0NoZ0VUM6q8GdjcFdjUGdVWfDUlJd9z37xCMXn3PGW6+9HI5d9K2jYYOaqavDujrU1WGDOgJhHhxIqui7cwo1f+7M2268/rabr6/7FsoyvEbl6Hd1qBPDTg3q0KCmuprW0TT6o9zq7Z7PdqOcvX7lpeevvvTCV/7zPAkT2lTn/p5Wz8L4VahJSopNNpM8t+pWb1jJad9770y45Lxz77/7dnzm7G++Pv4fxx5z7hmneO61kHtmRi9y5MqKexEEn4BztcE9jk9bMGBRnowYhFLB25rM+BQc0nFPKVkZ8GNV20ciVTwWylxGARUX5xg9EQwJcwnl4GbUyB0ALobTQGQStoRKlZUBWtYiivo9yik2lhLahCSwFg1IfUy7LPBiCxaei54zOynBA1sERa0QyBQ6EubkLEZgLHLaEGxyASyyUTtnt2g9J7KVqz6vZvX/bMVv7vGLbddd7Rsjqq6maAhVF5BkFv2SKIF3mWHWscEa39lj3d+uM3L1wfzipU7EkfBLKnyImBQ4misMGrnzL7b53KBleHmHJyS4YA5/FRxz8iivlhBqI2aGojeUGp6YK1mSBU9WtMSwdkIqhRsDHtAmAwEb0AYrjEiOguCGFYvhjy5nLhRM0Sw8AcUENqhciw8avvSQJZbsHDGyY7GRHcMXbyy25KCRK41YcZ1VvrX9+n847A/77bDRtisMWwZ3zoUrwIRz+uLKVNjfrK+49/oe9VlKpFAgoVAQ1iQlFmIBJCIE5SjisOTizFwWAjYSamCGERCJkq9wEqjCPpTxRaeylhu65Pbrbf2LNb9bddfiF2E4wLXYJjRNPJR66tWX/Pz+vx31+SU+J+nVSePveOoBnggoqpW/tOzKW/5gY+vlBjAToEosIHgJFRn77kliW+CamQwNSQVjQgvI/a+/+uLzTz/83NOPvgA8VeanHwv8yceZX3zq0eefeux5+M889jz8Z5544eknXnjm8RefffI/zz317FOPb7DB+tv84Q/b/H7bbbb9w++3/eMf/vinD2dMf/O1l3q751ZVSYa4rrqVvXarPfppjGrk0ktvsOlmh//t+BP+deoe+x646VbbjNr/4L/989TjTz79xNPOPOzov22x5Varrb5GZxd/7EqWKCSR+4qf/dzIkUs6W8g+4qyAynBHDjiUGYiwMUsMyGRmUiPphWefGf/aKyIP9MrcaDZ/9vP1fyOtXqQAABAASURBVPqLDVLVrBHgvLjlUZbDmTPQBe1pafOtfk96wD9PPf2fp5xxwiln/O0fJ3/xK2v3x6dKcdeeMFgEJIa/eAZ65EAEmUG6Un+tL3316wcccmjVaIY6enGOvKe754nHHuaBT87Bb9sFVi5SKatkyZTMKmZOsjVo8xdWX33JpZbRp0bO9ayZH/X195egISAlXkhIgNKI2ag0d+b0m68bfch+f73umtG9Pd2h9D+vdjam7oULLjjv3P32GXXbjdfyoZM41RxZbhD6RW6uz3/+c1/56tprrvXVL6yxJs8M6m42qjdefuG4Iw876tCDxtx378wPP6jjLwGZcgH33Orvn/z++7fefNPB++172ol/nzF5UhVdQkge7cDgeIeUUbeZuMMMkgrcZGBmMYMEUGQsA1cu66fEhf4/p/BvPASDH3hZPzYiXjAKzYQCc3C4ElfkYDIL3IIWZ8liCF0YoGRKtRwCj/ThuYRuWxKfB2AyOJg4H+JmgatMzGaBmYyhT+KojKBBXMZMa60g4AWKRbBA2LG2lktmWjQMgodkMjMJHUCkCgEFoA1tCYVYaTyvEYXJ5EUBHgh1t8vjoA84YDuyO1lhGRrSQKPpCLWKkcKMVQTkAUYSgAgRLkDxXaQmo8e0EUDkMOv+pQf1bLfJ2t//yopdlSWUYSoUQwoSJFdQTiqmSlpxySHbbfzVX/5glapnHmWrPUKljVl7ac9mQZrFXPINpGm2/IjBv/7xGnv8+uuN7mnm/dQQ59TVF7cbKAdvwKPREkJLZqay1aC4Ms/DmmmjdVbbdJ3PD6laND1aIrGdbUsLPShWMGbsAyQUc2QelJmF56QEZ/CgziGDu+iwBgZn1yFxaFJA1XjznWlxwuiqRzbZSFUuN/KM4MJhoKFvCa5p3vzuefN7TVLOzFZUJLzKjbDe0awWGz44OC6kKHr49uCgIpklsyKx9ggymebP7+7ty+VhXYVWW00x0HN53er73rdWGzqoA1ywCrT9ogTC0y1n5xGUSZqT5D58SMcXVl4q5/jYcSoyQ1MgxR4kK82Zu6C/1UJisqFdHZv8bO3D9vnlV9dYMvfNbvXOyf0LWn0LW73zIb/yhZEH7L7JZut/29zr7I899frLb3zo1sxWy3u/vfZKX1vz8xIH3nEvF4MiRG24hoBrMACZWbshcrDA41yY+KlM096feNgB+/3pd785+4xTJ773Lty2NTPaq6666ojFR4IHQIvKbNbMmRdfcN7+e+/5wrNPx/a704pQ+NSFc9Q7O9KN11z9x99uuccuf7nu2mvmzpkTGZKtSYhVhjv2qutM6zz39Cx89OEHjzz0oP333iMe9yij1Z6lkYuP3G2Pvc6+4NLTzr9k+1336G0hCEdmeEQvoM7Cl+c84Y3xfz/mqKsuu+Qb3/wqOzVv7uxTT/z7Vptv+tstNt9qi1/+hvmXm229xeZb/3Kz324BBPLME480THVv/wP33vXP4//2wrNPNqo4zLNmfnDZBeccceC+hx2w7+EH7HvY/vscWuCQv+594D6jTjr+b1MmvdNoJDP7cMZUvi6effqp/dzmZo2kV1549oS/HXnMIQcdc/CBRx90wFEH7nfkAfsdfsB+fAR2Nhu33XzDlpttdOwRhzYb5nVrzL33HHfkEWPvv4fPsJRs0ntv7737zptvsj4fmXin2uzufCgumHPQPqO23epX77w5vkqVWR7/8n/4qnzzddc2UkZhyZGLT58y6fR/nXTqP0/o6kx1HCLHXOJAyRQ3uBuKvIRIMNhZFgpY1MiiLBgqAzZ4zJKJXAxcCrM2EnOJYEpyDw2haQxWU0LBiC4OrYVYRCCBbGLE4wA6cWA5YsEQMmyRgiCCNpnzBOKbQtAQQoFLcMiEoG7lgWY4kCuiGHJjDIS3oJHGYgy0oDADB2TiCWLFPa8YUIAQZIGEmpQCxQgworG4+OyUGeinwIVzJsMd5cVvvOe1frLSN3Zd73dfWHLFTlUm+7S6F2demFZm2ojaV5ZZ5S8/3mrVjmUbvVm8+bXc+R0DaeLfCQHkhmzNpT/3+x/8cqQNrcgwHm3JLJbwSilokSAghXMP4yRjJAnVSgYYUvJlUQwDF3nJ+IHB2cNQLrOg8IGlZPwohpFVmFgQzlQpRJwHOHy0MmfYLBZ8rvbuD2xlstjIJDIJDh/fjjqtr71qacXFlvndT3755w23Gd4YYkQxKbTKBB5g3rA3Z7z79Ov/EZGRWkJMmoqBhjAMlM5aHFauNKCDFMpkyEECQJ0EQeEJdwEqw9ySIUedxaIlCN14PK8ycqUDf73r0dvuu9rwz1QLWrawZT1uPdkWtBbzwVt+Z+Oj/3Tg1z+7tmrN659/yyN3TVswy9mBOg9NnVv+cKPlhy5luSRHjcSyGLFKBSPfhHrBZcrJoBR1JjNZCkzz583hWbfbjn/efcc/77rDdrvssN2uO/xpN+bt/7zrjpB/2nlHyD/ttuN2u8HfMaS77PCnXbb/084F/vLnPx17zNEnHH/C348/7vjjjj3umGOO/dsxO23/5/323vPVl19gI52NFsMonEM2dOjwNb+81u//sN1pZ51zzY3/PuaEk3619TafW231flULeut5vXXqHLbiKmt8d91f/O7POx15/IlXXHfddTfffNSxx2240cZLLbVUR0fnZ1ZaaciwYeGOqg3PHBNm0WeKVFyUZ6xukgytHAjx2cuap/Qdt9+W6/bTTO0xcuTIzbf41ZBhI7KHURwlDnDONTRGToi4RJDsHYOHf/uHP13nRz9b54c///YPf84MvvTyn80iqSwG6uAgEuFl/OBFKmtMXE4g9i6gv9/X33CTH/zwR/rvMXnSpCnvT6IY2GZM/wvAr6TK+PiIDU0moKOjY/GRiz6LNTD6+npzzmxBspQwCzZFOvdOrnsvOvfM32/5yyMPOXDsmPt6+3pIUHHFEVl+ueX/+Mftll1uOTMKLGwJYVZ+5umnjjjk4Ltuuy0ERtmAseHmts9f97ty9LWXX33Ncf88udE5uJFs1vT3zzj5pHvuvKOnmy9yHvsRV0Gw0ydjzuzZV11+2WUXXbBw/lwLHRH5E3HB4JjZp25Yxwd1McMFMUbRZILDTDHM/xPoAsyyc6wRzz3hJ4i2E3YpCC52DUg4NC6pnZ7K4OGFFdDebMJRGyRIlqNvFjbBNJ4JCj4cY3hGrzjhiAVqruwmC//kxy6BZlq7SElOFEeNFRGABE05bkFhGAMpHi2FZXSoNMzx7ehVOFFEGYjYFkZIi26YBA6oDLyhzJyLtGiES8dDOMjiVnOZ6A5Y2LlcIr4LhmKYx82YJZyrDHMWEmeBlwvJBCnPGQ8GG3Vruyj8UEdUW4j4oKMPdbNvzq9/+sXvrPmZrooElDNBInzt6pN90J3fn9U3q9fBM2ZGS+KjuHKNHNTYZsMvf/mzg1PNV4jwr3BLVoCbBZHFh7L1Sf2yflduFxfu0UHdh3Wkn33zcwdv/xPN/8DUIqHMGcohFfIASZm/WIUHs36ptqr4kZvMkmUb3Ew//+bnvrBsZ5XrZMb7peALicyMdkiuUKbFZibRJ2ZWwIyNh0psbOF3NLTE4kPQoVuh7GQTqNxR55JVb783fWGfWwz++sJnKj5SEm6wkwJxC5T7wVul0zPnLJwzv0cpUWPko3ArpazkuHYfPnzQkEGNuqYJPJpUBtWYyJo1GXsDaiIqF+CEhNPXl1u1OWzDfZIQFSQVP6a67l37yyvQxORGJ8SgyZRDWT5QHtlkz3XOGU6WpcZyywzz3DILh1gEePZyPJTYAS3s6W3V2Rie3b2zkb7x5ZVOO3bbq87Zc79dfvGbjdb+9QZf3f3PP7ro1J3/dcyfv7X2KlU0xKZ9MOv2e//Tyh3hudYyizc3/sXXBg1u4sOMTnA+XcYtW/oUUWWkSp3RMclJKBETZZMCjLcZ1qht6uT3Hx479q033uhZ2C2DaWHHmuwrX/3qxZdf8e/b7lh2uRUk+oC+KbuZ9fb0Pjxu7H133d7TvTBFT13/PXAAdDR0+y03jxs7ZvKU9/tbHGopW/iX2MCf/PQnt91x5+dXWQWHgAghKSPxmR9+dPftd/R29yqYnzhPjWrEEiOXWHa5JZZdadhiS5issjKcrCrR5WKeVff1LbzhmtGPP/zIdjts/5W1v9VqeV9vL7/4HDdmzJj7x4x9YOyDY8aNGzfmobHjHhz7ICTw4JixM6ZPIz1u197envnz5tV9vY1GaqTUs3D+fXfffemFF1128UVXXHJpG6685LKrL7989BVX3HfXXfPnzqINRvp1a97sWXPnzvacnWKV33v7rSsuvuj8s848/2zgjPPPO+uC886+6NxzHnnoIc/906e8/8qLL7wzgT8nynPdvWDBnDmzexcsrJJx8Pt6uie89ear/3mht3dhQo5LydHr73n5xedffuFZsmyYVSnVfaBzuxfOT6bkGrnk0r//w59o1RmnnPL044+h4zTFnRtLeODiWLjJE+2jv5xfcT7chZ5ARS1qDy9K6GGINATZeXzCCTw0MY2DIXBcZIUmXgPPTMrEBXFGe4Mz59U8zqkhqsuuufDhGONYspxJRhJnOcIQIocQnQyOssrApStTRtx1lpnhhCl2YEVHCnXPxY8yPyQaEkedNALFBwrouZOC3GgOBmUVSQQTVdhQUnHg7rg0WfbKXYDKCA/hKW76OjO8VtXrqw1dYZ9f/WXZQUs0RdziQeTi3dY/o573xqxJr8+a+FG9oMd4Z8S8uJIasi8s8ZmdfrZ1NadffZmHY841TWs5Hzg549qMFLqU1l3tmxt/+cddfakqd7xgK7IyQy7DX3iNVfI4X5aSoVoAJMhE28yLAfoFipGZyQqJS/YgUASlZFcxClZi4irKiZZ5PDaLhTlBJbOMEJXSrfBYnlrGxuHESUWJDyxjpBS3XrNhnY3UWaUOpeHWtfUPN117xTWrGg9J/IRbtUdphbyzuveZh3LU4R4bMfD+7e45jmGQZpWc2KRUTMELCiv8OfWQLK1DSpNJ1dsDGoREORzgJClspEBKK5SVal+yc/Etv7nRDUecf82h5x629V5/+dnvdl3/jyftfPQNf7v04K33Wnnxz6ulXOXHxj/zyPhn+40+1anl3131az9cc52khtMS98xihCrRKSeZiJrMSE0UlsGMTE0MJABPjGSqqCG3Ppwxjdf6SZMmvR8w8f1YJk6a/N6k94GJ708CnziJ+dMwsXAmTpo48b2YJr0b88QY7zLeeQcn3Qu7SaxRpZVWXOnqa699efzr702aMmXK9Geeffbsc875/R//sPbXvvrZFVcYudiQ4YM7lhjesdRincsu3rX04l1LLdY1cljXEosNXna5pVZedZUf/vjH+/x135v/fcvESZOefe75Hbf/89DBzc4mdYrh1MjzzhnZqNFd7Y9R8XDjjETp3HTGiw2aUrOZHn/k0YJiXSDZ0sss870f/ohnS87oV3DNMXLPdD96Lg4hBzREAAAQAElEQVSasol7QZUyTXUCuZemZ2wa3CRmlpJQwl7kFcvAZUpmFcfUTMRG6OKmLISyq1b6y047ScFQGfj/6KOPJr//HnWia/aJKOSFwk3ESW6JJAGn5pDKe3raH4iFKlNHs6NiGCV4KmniklOTlFL28a+8/MrL/5k560NiCUGY4D4PGzZ8j733Oe2cc+59YNyXvrwWuqUH0XHy9vLIWmKJJRrNplDHysMByS+9zLJLLbviyGVWXHyJZV0VHyuPjBt75x23tfpbUmRvnwwNDBM8OuX8wqG7+8rLLn77jVebiYQH5J9eCAOQPEwnFRYAS9prZe9IAndmsP+foWzLf6tZNjMXfkpZPJpwy70fsxOuDtzl3FyfGNJUC6HcYBq3pZnR6pwd2kkiZ0wEFzzocJcDN46HYQvelmYXG4+ZTHBIBv2kCoUCcCPFHJ6FCAh+cnJWWLQRoSeiZE8slpkKhEuHpMaUy4l1PFmRZWUz5cg03MN3dz6FXaQfsSolHJmSJPJmVnIzzkSgwrTYYiKDIhODYTIGE0pYGotkdBYMAHWXi5AOIicBSCdLFzPM4GACJJPhWQgAU079PV/7/LCNf7RWE1UxImhv7W9Pn3Ppnc/tcMz1Wx14xe8PG73NQVccdPrt4154e9ZCfhspx4lkpiUGd27xsy8t1tHf7q8TXK4YlnM9Z2HPuaPv3/fEm/c9+Y4DT7v7pCsfvOXh1159f+bcHr52ER9NIB7GP/n6ipv98PPWv4ACZYnES4RwxMWXmrOvvv/Y8+/92wVjjrt4zGnXPHjfU29Nm70go+deemjLjRyy9ipLdlV85+DjOtziqpJF7UmcVJ4z+DW5mfgxyRipQg08qITIIMlsxeWXSMZucrRc2DgInqWyR9h199RvvjWpPLwyTWXLHCGOgAQKgIVpNqHf119PnjqrJ/4HlEGjK1Q8REmZ04TnZZca3lHuWoKhYKFoIIqusrpFsiAEZEZEsmgpXMmSxUBQACnOCYBO8uyLLzbMUQw2a+b4VKEeNBescMLCFmbPNZR1djYI7Q63uCwTRrHSegm1dqqc5hThk7nVfXmZkUM3/dk3dvvTT3ff/me/2vA7n1l2ZObLQXYjF7Pb733u/RnzrYpizHt++r0vrr4y3wMti0YbU+w/KPdKcpOICKTIiJRTOMFP4UdMS+iSognMhBoAz7AoesXHmmuuefjRx632pa+ussZaYx99fKNNNx82fLEozTAxWVr1C1/86XobDBo8FA//XbEgWzU9qRUpIs9GdJWR4ggOHjxkk81/ee5Fl3xv3Z/d/cBYnvsrrvS5qqpIREkmazQ7Dj/yyMWXWqoOVjEsk0lWBlU1klVAZalwvAzkQGXV++++fc1VV672xS9ssvmvctwxaVDX0F+sv/Fuo/beY69Re+2z15a/+fXQoUMbzWr7HXfYbY899txr77323XeNNdfEWWWqUrJU0aVk/CYiDR40ZPUvrfnN76zzje+s87Vvf/sb317n699e5xvrrLPW2msnpa7Ozs6OTilyI1+sMp/w5Jqc5FKqKqDZXH/DjTbYePMNNtx8g40232DTzTAPg5QkpcAkNgZ7eV23YBM6JcM/iDjSZCYzmRSXx3+q4VhyO0skbIa5e2VW8bZl6dvf++H3f7xuSumUf/6z7lvIg11o0yXJ+CnP6Vg9s0PsPdYSDBxYrFzFxuBpYBjpiDiJI2eSKWhJhrcEZQ4PkjmZFaGF3xQZyS1YCNAmFYVBskohrcySLJG7qsixFKIYZsazmjvSC5VjdpPTERI3BhwIKpWgDD8GppRiVpihD54CFcHNOaJixD0E0zCHCogdMwyTW5USMuHTHb/ggJRxLieBFAgXXCgDUxk8+6DpiRRZOxPvPYvVndv9dMslG0OqcB+KPGnntnoefveFI248fZvT9/3D+Qf/6bxDtjn9r8fdev4T7708r+7FsXvcL3zd+tqKX9xwzR9WPTm+m7bquL0Uh8zEXWOoobx4c/Ama/34W8utOajVsMzmsauUYp7Jp6RXJkk12iyLADYMZqPYACgCC7fmxnBqgJJMFKWBxUuNheFicXfkQDtuENn4KHek7sbcTqQkXwxwgFFpMyuB4Ao9tyzaZGxBZZaSzCxZqpQ6vdrshxuq35MRSMaQUDYCwHDn+Lz87viWl7/94ZQQORbJ0XVHiUqIASMRjlY4b8WwOdPQMn4yyVoQoedlsqA/duQoiSQz22Myt4GhBEX5lurc6LUvLbHK1t/dZI+Nt995vT/+bPXvL2mLWY9xR3vKU+ZOvfPxe2b1zvEUvpYeMmLjb/10ycGL45SHnhvpeo7KXAkVp0kWaGSVLO4aQkZPDMpSitkcXoHQUkmSBL1Q1PsJDsu4BgSLFgNxkQFrAXSAgsaE3GRJuuT887b+1RZ77r7bHrvt+odtttl00403+MXPN9lggy022njLTTb5zSabbLXppltvxrzx1pts/JvNNvzNphv9ZpONttx4o1+HdNMtN95ki4032Wyjjddfb8MNNtp01Ki9dtxxhw1/+tObr7uGr9YkShTueSuDpCUTUekGMnYvQBaJZNi88ef+/vffn6j2sLK4r7XW2oMGDWbLKEnO0YtzUCX7aMaUye+9PvW9N6dOfGvaxDenT3xj+sS3ZkwC3mT+4P23gJlTJnw0ZcLsGe81G/EoNkUqkum/Br3xnOMMEMJCaIIntgHVVLt9/VvfGTpsuKA0MObOm/fhBx8U5QFOezFjy+WFyBK3TYE4157Z3DR1yrTJk99XqFjRkqVq+IiRVaNDFOdkwkm17JiEeZ09FnMjupkg8Z6M35zud9BBO+y8W09tS63w2TEPP3zkUX/7/MqfbzToZThudnT88tdbrv2tb9cZv8H5+Go0mrUsRwi6797quffuu+XJVFlqpNQYNGjQ5z6/8le/8c3v/vCn3/nBumut/Y0Vll+x0exEzPMImzlzZ48b84CUSWoA9Knhwcs+UKQpkJqyUHHCGMMhgSKC3QZvL5+aQ01ql+QykyGETCILeiLqSJKiW2oP3sYctyTKXELADx0WIydYroR4ESKcYqEYrCVktgjEBUMohkxEIY6zUBBqAAjsooFrxShriAwn6JNFsEtoFEPsZB7db4scsQWJkUcurBkeUMxZ84ChQg0rV+iJQZ7ESW4UBCmVFbkbyhLJJodUXEFhTVkKKTZw2hLPKAQzOEjF3kaqkKQjkQAPxPDkTgj6mdDAgACol12FadiYcNzGeRjnjjzvj7/6ThcptiPJ+FXjU69PPumKh64eM2Fyz5A8/DMasWLP4OVfmKp/XPHYpbc/M2XmfLLBDRbNZF/67JJfXnlk8n7DtUwBYliyvlb9+qRZL05e+PyU/icn9t767IcnXffCoeeMueC2ZyZMn1ujFFvNbqsp2/RHay47PIkvSuRFFYYjCxXxWzN7+rWp416eMe61mWNemX3rkx/88+qnzrnxySkfzRNRyUNOSWuusvSgCq9kF1xEbkospKKEL+MJLiXBiosnu4Vt4MVAJmPQ0pU/uwQVCfvoLW3L4K7MRrjwr6o5+JEn3+CWlHsy9IhB52U4Ez4AYYqIcCALentee2s6b8k54wUPAArE91B1z63+FZcb3mzyqxeThdRdYEhxjQfJ0DYpfFoQNCuZmdRopkYDeYJrZUC4oy6OpBTsVquVAgk8VsRYBoYaqoolwrDy7kKlub9Vu2DBKStoG5wRGO0kGiqh4aEDl65GoFJnbjnVhoLhXzz+XnrjvbvGvNToGASjrns/u1zXFhuvw567zJLm97Vee3vyo8+8Me7x8Y89++ZrE6bM7e5ODUvhUaZsFKRoD3ETDHAcpURQRfuVc3aPFrMvKqNrUNf6G2504qlnfn/dn/e01FN759DFTz7znL33P4DvVxi68tChQ7b+3TZf/fq3Sr4DlRTrgSmcOm0hSOyNB5vA4lpu+RV23HnnY/9x0vCRyy7oy0NHLHPQ4UefetbZW2699RJLLWllA765zjobb/GrOhc7jMI8Lo9SyJTSPSrCnZRM4E4rkSjWrka65Pzz582d84v111/+M5/tr/n7rze7hmy25W8PPebYQ47+28FHHrX5r7ZIZssss/Q//vWPw489+tCjjzj8qCNW/9IaHZWaFQ1KVWUmDqylpKWWWZZvntfdcvv1N912/c23X3fLbdf/+7ab/n3bJZdf6nJL8UNwZ0hGJrTEHcSUiJJSNWTIsNE33HTJ6OsvvOq6Cwpsve2f+2ifGHhQMllckMp1zaENLC52qG7VzE5togNl4wjCasEyMYzZcuZjWfDcrLb0x+3+3NHV9eorLz384FgOvA/cjeYM8VAORQnLsPVcDKMM0XhkYoQmF1UWKBxhSy6wUYYTM+oF3PEllV0UrnGOGFVjOCriSoaSK6aQOIrCJhTbkeFkdNDjni1WIQ4duIFmDnOCLqXgh1bgyQekkSoScU+5aFHQIY4A7hkOPhy/SBVpcMHFifHxExZkyRF2hKFm4YwoqClCOHisIZaFvkky1MRwC0o0O7NrdTaeYn361mfX+vIKqzb5KqCokWZ/1Dv3ysdvPfKWM++b+OyMju7u4VX3yMaMrp473n78+DsuuPX5Md0c27iBI9Gm21Y/2mS4d6rVTozcojfGIFkRPVWylUcu96tvrLecLd6sm4nDq2RIcELBohSsaIbaI9jOMQgBWo6qFIcwGKgVZQzRKWhhOWo4iiNAXKcYd/SBKB9VykWA3MSEIWHon+XaxK/fWuY5eTavjSMKbjlZ2Wzh1vFODuaWyMTNKKCUoHYx+NKan/tClUFCinsyT1KbCA/SR/NmzutdKBneaD86LsuClKPJxni5AneaaGZsSVtGLbAVV+ibDBwIgqVAsHCNmQw8TPAHBllmVidxwJP1W+pz68+pVrw1iExybuax/3n0ubdeUhUeqzrxR63vrvFNb3lW9uQze2e/OOmVsa8+/sArjzz25jNvffhut3r4rY+liEiQWErG2CfiSQmIh40ZJVFnRgK4jDnqUdi0CTjcBPSw8L3M8P4HOCoFJAMPDzgwvfvO2+PGPlBgzLhxDwAPjhv30EPjHnpwzINjH3hwHMz7x429n7fqsWMfGPfAmAfHBBPpww+OeXjcmIfGjWmrPTRubIjGPvDwuAefeOwRvkyU+sQgjjPI2RU4CbiZI1HQcVioMCFCZWH3gu5udlyfHiuvsmrtGXDljD73jbFP9eGHHsY3vc033viXG2+42UYbbLrhBpttuN4m66+36frrb7bBepttuMGmG6+/+SYb/XKjDbfbdttZH0xvVkSIwLZokJc7Hpk4Ock9iVxQ8Ujn4xyy58FDBi2zbPx3epi2+b29vQvmzzeZSSmmNju8geGZGQDJTraeyV11yn1XXHJR70CNREJFQ4cOWxrnVTNHY4xsvIzs8QsZSgY8O2FC24xfca77k5+efPrpu++9b07N2q2VeVds7LzHqDPPveA3v/3dyCWWMEurrb7GiNIE3gAAEABJREFUb363bdfQYeLFUha27cuUKk6ZWQLjsjq33njzdXYGRY5Jo1H9eN11L7z00htvu+Paf/MReef1t95+8mmnr7LqKjLjbMoMdy/95z8Vi/73QW2hRCH4xaBowaRBNAQ2GQRpsiJqT5/G2xxmlJkl/DkXCByPrVKM8MIaErNwYB5zsOIawAkHBUBbMWGy8ElGceO0cTCHaeyED9yXBIOLJcAuIAIcouiJhomJpRigaoqBUjgJxbaArMwEyEJe2hJSwWLPjRXMkHEEwOBJJrBPVF0mhjFkBnibYo7AmNBciYNUOEyRA4tMARJzMRTDSYnc2jOCYNEbCvbwy6oiw9bjAOKWMpUVLaMVRYnkuG/EDUTaIXCBePGAobV6v/6FpVf9zBI4Dv8eb5PvfTD3gpuefHlq3dcc0W+dLaVaVW3NujG0r3Ppe56Zcv2Yl2csbC2otaC2Bf0aNHjw51ZcsoMX4pJQ8Y0z8sCr5dTIVac3utQcZJ3D1LXEjN6hNz065Z9XPDRh2pySLVVGVp8ZOeRbayznfb3yutgzuRlpRvXW7PKOYUBuDq07h/V3jnz0tY+eGT+1RalyVFH6zNKLNytsIaNELg6WmSUxKW4O0/+Psb8AtKQ69rjRf63eR8ddmBkYGNxdgru7BAJBggV392DBPRDB3d0TQkIguLszgw/jM8d2r3q/6n2G5N53v/e9muq1apVXrdXde+/DzeXuMhP/YEoVqf8CC8DfAuNGttRIDB8xyrMojE9cFUGAVDS//MbnM2d3hY+4KBaNirJkoLjMJDArTZ7a8d5HP2SvocSvwowuZTbOFQ8ftLycd/SwllqzUbQCwlh05md0uSVHFZeVMElyydrbmpqbkkHGUhWwoLtxJMKgqH31zRQ+vFAPlkZqwonM/jOGFREqrD5TlVOmzRHvU1E21VeCyDuWoSxvbi6sICNWOAJxSLZRAItk4qelWiKYJUX7Z3V0X/mXx3pys4wf+8tCc/bfY8OB/dqzct392X+/d+4VD5xzxePnXvXX31/9t3P/8Ldzrnzy/D88/MSzb3Z2d6cCtxaRCGLcOZBqrIMiSXKU5Ui99NimXNTS4ksudcLJp5538eVLLrdKVw/t5pNBUXpqauu/22/2P+eCi9bbYEMSXG31NXf81e5Wi//BfUyrrlVeewfiSVZFY6S10Qzv07ffVttud8Ellx9yxLFDR4zpqhNc3WUuVVtljXV+dw5hr9xsy62Hjxi1y2679+k/yKVkQHhiAsX+Va5k6i1JaIF8YFPwJF4H30z68tEHHxg6bNiKK6/S2oe/vFGq92Tv6PZZnT6zK8+Y3fHxx5/MnD59njFjukuf3VHv7PFXX339T3+45qrLL/3jH65+47U3xZPA8UkOhDVPNau1gqq1GKeuaFaMnM2MErpsivNh0tTI0/5DmJng9tTz7O5yVjdjnt2Vici96JwQKaXqPksmE/GyvFAYIc1Om0rPzrHPHqAIqACOt6lqPk2J1iBmjaVJOdviSy697HLLT5s69dln/lrv7koGxLFH29CQeXjpvYx9rbh4SEirxMygJEbaDWLACNJR2BW6TCjIqpW8d5YqHaR488YiciUodQh10gBFpg1NpEbUHDLuIxw5Kc51jVuh7hKmUIFS0JoLRkODdrgOQWBGU7iQQcqMMmVBmzGGQ2aQ25IxdCTuPguIlZEVMxMjTkGlWJn4ZzBFkiJZ9ULyEMfCkbjk6mdty8676JC2gWwQxfOHi5ll553/fuymlx76Kc3pqfEE5zNVvZ7rPansbs5f9fx07XP3Pf7uc59N/+6L6d9/Pu27L6d911XWx42cJz4fVVmHX8KDkgEw5TW3VcYvvt1yG7TN9iKLu9c4JJ6SKjC0YWSJx37JQh6DWYwSIxRj7AepKpIPvyJY0MEXTYaGBRNPMlaxbe4hcUiQQ1ot5Z31ro9++OK1Se+9Ound1yYyvvPqxAonvfPKV+++PPGdlz9/a2rndNxYJOBkUFh8JU2CFGBmhVFCgsZp37b2Iv4nG00yLjWANAMJnbvq3bM65tBnEiNjsgqam8qxdjTgNwzjIIePuHBjZpXL3omU5A0OwkBWTJgryaACzUwGBJc4dCQoKcMjOic6oZDMlCIF+IV/NW3S3c880FPLnnhD+aDU9qsNtmsvWlHotK77//3Y6TddeOrNF51228Wn3HbJKbdecsrNF11w99WvfPG213IqDBA+rfdSEKogEjSpuaV56WWXX33NtVZfY61frL7maquvvuovVltl1dVWBldebaWVVl1xpZVWWHHFFVZYcfkVVlp++ZWWW37F5ZZbYdn/wuAsv8JyobDi8iusCLHccisuuviSbX375UxAo7SISDAmxkYOEFTKiYCAI1oRuxLKPpeAWdHOkS/rmZdAmT1n92qj8Ab2misMwxu2ETSmiud4QM0zQpl6ursy9xAckJgxWr9+/UsaGvrOzIkngMlmTJv23XfffP/d199/9+0P33/7I/jD95N/DPzxhx9+/OE78Ifvv4Pzw7ffqqw3ghIlvHoARANZBOHR9iiLdIleIRHdZWZ9+/RBDQxN4a/s6uqRDH2k+l+AiXj4e82sJaWWJmtr1pRvv7zgnDPuuetOSpmrbpKNGTtu7LzjaRvOKU0BETNoD134wcve1NS87PIrnHTqaRdfftWGm2zZzY+P2aPl4qebVFdtmZVWPen0s35/0cUbbLzprrvvtdDiS9XxEMa9U5BSAhjNrOE+586ODjkBsyxzN42eZ54lllyqrb1fdqPh/foPXHyppfoP6O+NYPTJ1d3ZiX2g6IL+GxqtNrnhS0iJo6ApSwFkg6yXCmGQXPAZ/39gbyv+W6Myr4bg4oEPaixB1o0RInHFosqAzHqXTB6rEEFXyLrSUjBzZWjQ8caNuzyKs+ib3DOvqogYF7ahK8MhNC481mZhC2MuWkVgUc2s0I82BScuXGPjXMhCJ7s7PwSgAy8YylXcKpEIIWISxONyATysCJ9DgZmEwhNlhahxoKHQRKMRjSWIvsHFWkxIkluu+NgbkD0IhBlVhSgu0ssxkyfKSCXSdXQkK7vnrLHiwk0CPOd463Vlu+G+f3/6fVlPfepKmYTKyLJ0lTkOcUcx8InXJh9z2ZOHnP/gwefdf9B5Dx5x4UOP/evT7pIUrCiSmRqIU0EmOLB4UVbB+ZCdmvjK9Paknj/d88KsHhyrAX1bawuPHdTCNzvP0TMybwjMGn2Ukovnu5WWylTryLXPvpnS0d3jTsA4AP3a25qMzoSZR7M4BKIT8MSFtWVjHXLWMnPWrLBnYQaT3kb7Bg1qGzN6cM49VdKVHyHNMRDPZan2/ZSuV9/+PBU4cFOZwjnq5E0vZGbJKB6xFbX00hufT5vRLWuU0hgzljL+ZXnu2948ZhTfFY2scBEiCbowFXIMkkmcaIuJMMyBqMj692tvbSkibyzdJTFLxmik5l4ULS+/PjHxwMNGycwS/wyvbvgTI4pQcNQ4KvWy/HLSDIvyoktmSNWAXHl2L9taeX4Wueo1qSI1mVG0ZPYzmaMFUlNTcds9//xqUocVLXLVu+dsut7Syy4xf1l6Z3f9xjv/evEfn372pW+++LZrekcxp7s2fU764tvOf7783cV/+tsfbn66s2TbXdGBHJX2hhBhVAEJuNRTlmX2plrzamusef5Fl1x38627/Wa//kNGdtcVB9k9ecbc5LXm1pV+seZFV1x1/iWXnX72Of0HDy3R8EqM18pn78DOEiYlUZSMbzu8+A8/5ri7H3z47PMvWXP9jZva+3WXfPmJ16znXHruKcu2/oM23GQLHvc33XHHuhtuZIk2sDeeAmopNgOHhSyxH5XnxkBM42IPG2OtsIfvf2DG9Onjxo1baLHFS9I3IxesQJd59tkzZz73j2dzrnfO6eiK/wheuPjXP5877+xzzvnd2RdfcOErr7wSsWXGMZWX7jm8N3ieU+y+S1093Vl13BpuRbUWWqTJ5KxZOollz2ZWKm5GuClV5STsEDpOiQK/MBVBJZQV4J7BiFzmHCQrzwLDLjSqK7lhTSC4FcOChucqfrnzzj3d3R+//+F333xt7CK3M4LYe3QisjAOIweY0Wl48QYVKgY/0IMXiyBIsuEBj6BhHqK45A5mkZSkRjJ4IyhsI3/8wMVcKeTUDEeUkTBBE6YqRyTsQVULjN0IRST8V3lnr7QFhEoV19UIGVN1jys4eAnVuPUMOuw42pLIyk0AsQUBCgbdhle1wgjMJTSrdRUcnx7Z04akSB0NQ8VYWVi6mCqpuQ3vO2ShUfPVeJizo9m7vf7SZ2899s5zs1J3Gc8PV84qs9XLsqeey1yaf59nXPLUTYffcNYhN5x16A1nHX7D2Sfc+PsPv/uCk+QZ13KSiVYwx1LEcy61p+bNl1l7gwVWbZ7N1y1E9FUS1YNhA011YUozzaVYVTUKbYgQ0UoFyUU70WClAIQZOnaRFNhNxuDH5fG0QQg6jj06Zj/M/OmPD1133F9OO+76M46/7vQTr//d8Q284Yxjb/zd8TeeecK1v3vi9Wd4ZOM6kYFHGinFaErWAMcZHMTW3dNDhyIGBvAU4KwrJB2k3WXd2ZUqizKL7mbPvDsz4OyB516jhCF2ZgqUmDUXgm7IKw5dp6ggnc1OQrcylqDi/CscK8DdycNlAJWIj1rBNsFxNftlt1/93ZypXuBE/AK06/rbLTSKB3ue1jPzdzdedP691zz14b8/nDrx++7pk+szJ82Z/No3H9z1ypPH/Pns2//xoLUYO6IKoOSRjaAIwpiC7Nt/0JHHnfjHa6//y/U3XH/TjTfcdNMNN91y08233njzzdfeePOfb7r5T4G3/OmmW/980y1/vhm89c833/qXm2+99ubbrr351utuue2GW2+74ZbbbqyI62+57fpbbv3LTbf+/pIrF1psmXpZxaZA0KNQuVnFM4JndyaXMpdJjMggGH/GxjJEtLLSgTbHDRJc0kDcmLESPp05WFKi3kBa4JVeNN4TTeYA6b/B58zhp09l8sF3Rq/yZsYX99DDnAkR438hYfghIpeZzSyKxPmDkFUajVHCh+YCfntLFGKjnCxOF8WTHisvc70qUGamYOCP2G5mYq3/AKG/+vLLh++794mH7nvsgXvuuf2GP1xywcH7/ubXO23/pz9c1TFndkMVMxxS8mJLLDlhoUWrkxyOcJqrtuCHNZW19+270MKL7bTLrtf85Tq2co99fjtinvk6e7x6xpCmJxN/tSsKI9f+gwdvvtU2l1x51S9/tavHvROtE44iHldgKvgxR1KVuqWiKIYPH0E4SqJjPT31+++/f6/dd7/4vHNu+PNV1//xirNPO3nfPfd4+803cgWeM8rDR4508Zw0SxzWpP8CpzA0PB4rghCdjJIsniQiA3SDzQS64DM30BvT/zHSGEzBSsWDoF41oqhXigzEGjEI0cCEvAoJM6vqC0lijAtjO3mGoqFIpZrdzARUJcuhZxkAABAASURBVCiSd28wGD2eIQIsCBPFN4KShbuyGUpyDqAIEhxmRdOgG5qhADNSYtdEgLCt7FQBSQoThDwQikpQOSBXbp74qC1IVWpOPRi5Z/wQf24IogkOfkimQjiVMIY427yhzIOorJwcDBUBMC0zhyaTxIcnIyHoUMnhTjILJY/ZxGEIbnDMLPHP1NbsC44blJSTyE51t68nz3n6hY/42xEuCA0mqihLlUQoPfN9rGlm7vPJtOb3f6p9+FPzR1OaP55S+6mzOatGwEBXBTEZYbk4gnLuJZmxTTDEpjT1fXvSnJfe+YpSKn3JffjA9sF9m+iUsaI3HgA/FGg05vBN/HNPstrszu7MayfEOFZRWGGxSESTAbJMKDd6JwuTAipUUTOZYNJRWpYUApfoJJgpfI2VF673zBYUMpP3vneDIgs053Tp78+/38WnC9Y4zckbgSqv+MvK8Tp0/q6d7n/kVUt8xwgV0VLE5INmhLKyrI8Y2mfE0H4hwRV8Ss9MxMmpyZpaiqbmWnOtVktKxIna+ICcEOOxX9/+/fu0yUuKgZNxLnlkXpEoF7VX3/xs8tSuIqXoojlWUmZhxs7QtgJf9FguKqylYvrM7k8++85S42FEXtEtkZHzmS4LPalfn74Ff29iEcFQcCI7AKkk3LkBzrlJ+fV3v3j87+8UTe0ig7JnxJD2nbZarezha0l+9K+v3fnQm9M7mlJTe1E0WyqsaDJLqWjyonVWT+udj7z9h+ufqCFJlvCoXjCZSRFJllSY+EPWMtdce92HX0566Imndvr1b4bPM15FqzsHw5vNW2vq22aD+tT6thKmnrs7+rS1br/99uPGjG2tWb9Wa2/21qa0/gYb/GL1NZdfcZWll11hsSWWHjd+QTbAlfjCdvkf//zRF18/9ezzRx1/6iJLrdDSd0BP6TnnpuQDWtOAtqKFHyg6Zs6c8v3kr7/4ZuJnuV5fZMGFhg8Z3KfZ2lqKDTbccJ/9D9jzN/vuvtfev/7NPjvsvOvYeRegAt4ORgWiNZKyKTOxcI9fBP/6xOPQI0eN5M9WLupkSGyFTByCWqEvPvno7397WvLXX3t52803z11zmgvV690uS0WtaGpKCX32jE7g0nM1ZOwVV3JMCenxH67kXCvCplBKZoFuQl5tbebcVAQPG7gYcuTxa0bKc/WQsePywsyUJOXsWQRFEWOYBqdmjT97ehN65CN3IULdrQIKJEShcFHlYSS8wcYbpVrt60kTv530Za3IZkmGWzkElMRsAUnErdCEoTjycBpo1UQYR4GwLMmL0vBg3MawSVgxubILf4QmRw/N8NTwgIZlhIVXtx4K2S1XOojE1XAORTDGbLwMLNG2qNaFGxrM6HFlNlnslLEQ7XJuIAU4HBeZ8GaJ6CSHijOJvrq5olrJDLZQzAyKNxxW8NydMA1ajttK3VVpo1t3UsXEHdtQlsFAyouZ2GiI/gmguiRPg9r6jx4ywni8oa08u2f2vz589evZP/Ygz65c5lw6Xw96SuuJd0cuS9r6U579afcPn3f/8GXPj1/0/DipPmW2+PmJBC2ykpsqWiIPseBSBB7Y1PbbTX+1QJ9RRQ9L0kFOYNINwhTAIseF1ABYIZOsISZAZRH9IkNFDI84Jm6hSjUGxHip0OiTJ/Uqh7Fy+Ko1NXWo5/uuqT92T/uhnP59z9Qfe6b9WE75rj7th+6p4Pf16f9470U1mygr0okw2CtiNgY39oNNSLLCvpn8fd1iZ4Nppniioh6pmJMKaXqR+F2D8rwkSwXApRc8Kc14jGfReQu+WUzmNNNlRgpcCEwUZEZFCrZZHC5GSYwNNXNRL7G9JG52PtAz5GBkx2Vkk2NQWS1Rtpo9/O+nXnj/NdWS5FbPCw8bv8emu3iPulS/6r7rHnnz79PVkZtMNQUmU5Kaiq5UftM99YxbL7vjn49YcyIHBbiSSSaqxxtFluwcjNR34KDm9pZLL7/8yiuuuuqqa6686mrGRx9/etDwUX0Hjeo/eHQ/cOiofkNH9R86esDQ0QOHzgMOYBw2ZvDw0VOmTL3t1ltvv/W2O267/e4777z37rvrZTlk+DxF0Z6JWTQn0JqS1VIqkiWzlKyIMUFUS/gVzdCLtSIVTRVi1ZQSWLMYIRAVllIUY85Eb0F2hWKEf7EXcjpI12hp5gtf3G1IPaultb3W3KT/CRMnflkkWCaab4YPvJmJLBlTFUtBmVADBbCjjFWMnFtaWpRS6XWHHcgl4U8BsYhLZmStyM354xo0W4+H2IjSNX3a9NCGgRdXUaTm5ibsHIvAhrB3fPHfL+y5+66/+fUu++656yG/3efMU0+8545bP3j/3a6uzl4N/FTUkKHDt9hm+5b2vk5VcKI9NMTMIh/815rbzjr/0udeev2Sq6/dcPPtBgybp261Hg5qrrcU4vVads2a+Ol7Lz3316cffeCxB+5+9MF7H3/s4ffeeXPi55+Wc2a0Jf1m773+9Jdrr/jDny68/Kr4X8O/9Mr5JixSZlURksxSrWX1NdeQgiESc58yefIjD91//tm/O+WYY047/pgrLrnwhX/9s2NOByoogCatstqqzs1kSmZFggGqAVAWwIY5M0xaCQUBQqCQJESgqoiMIHwQ4v/EasfcZCHlVAVh3N+9rsTbNSfeNHHjIqZ5YOhyoeOVvkuJLTUTy3BmPEJEJfqfgBMzlILrGOEQkopItxcbUoSIkcFNZjAjT8N7g1eNMVjjxEIaVwONDuKAhSVZdIlUWIENT+FUOMQEjWTQIUsMqsKSp4xvAzxJhdDMhJawE0sKdMQ4UC9EBY7UUEsqUBAmqhx7QlcVBL8ixDNJ3KlKFZXdCVZJLEZcxRSZe1UIzqjDzHCZvBw9qH+f5qL3zY8r81ff+cja+jsKknk23tdlV6vNadfs9jy7ldHmtPicZu9qUdmUyubU02Jlk/WY6kSXh2dCOYQk7j+eZC4zUy7ZJXMPNulKHfXmtz75oUSrYiZLg/o192s3CjKYcjNm1LETznOQSOUOH2/1gX3bakWBVjiV6nUnCbTQpF5G0UMo9CnbycbpqaHhVMckE9YQTkBoJjmhcKXVVlm0ZnX0TDJhrxjJSoCJllvTux9Pfumtz0KHHI0wYnsdRciIG2mXphvu+PuP07qsqBnHxOgIHpyIDURRuT5mVN+RwwdlWRkvLAzj5PMh6Ptps97+5NunX3jvyefefvX9r76ZPJW/maQagZy4In1Xa7PmGzskWd1ygCkqxbkxN0JZUaa26+54plRpRnJiB8wl4x8TYTN8kYo5OaaW4sEnX+0pk7gvUEGR7uEWwiybJGtpSUMGtVOSeelKdM1JKIqLqLwieQzykyGYZdNndt7zyIszu4xPDe5lLdV33HKF+K8Hs3/21ff3P/56T+Zt15QM19wEdZXd4jkvN0sp8ZgddM+jb/71X+8VtYSGeqFBOpXCYGIcPHToMius0tTWb1Zn2VNiTjV51tQfvvjorYfuufWkow/bZuONl1180QljR88/auSEMaMnjBszfsw8880zcuH5xq6x0gq/+dUu55979m/22uuqq//w4COPPP2P5/72wks33XHPiFFjzYznctHaL1szzrt6MuHqXR3ffPHJ35946KxTjt1m002WWXShBceNWnC+MUssuMCyiy++3OKLL7nIQgvMN24Czldd+eDfHtA5a8Zee+5+6umnXHjJJeddfNlxJ5264MKLyPiHs6jAEnGqtrvcjeJnzZr56Wcf8y177Nh5m5rje2NWSsqhl6xWeMeMn8753emZjw5Dhra1tb368gs7br3FO2++tu/++7/+7nvvffLZS6+/sdPOv3Qv2V7PHC0RMHnjM6YRuGogT2f9+MMPkrW1tTa3NEsyhFxgpVGWnrOX7CtPmSRlchApGmo5Wq3sqqBz9pyvPvns2y++mDl9upy7CSMjNDQVFUVx3Z//dPH5Z11+/lmXnXf2peef/YcrLp8y5Sczr+w9CY8g6rhVMiUBSH3o0BEjRoz6acqUyT9OLiwVpgrjmMoYDQ8NNAsPNFESFI4cBw26ImLpOaGG2EJHzq2T3HoTYQfM8G9SJa3GWEghqpbqhVTxUXdZFCqRsoUw3JmM1rhbLtmG7KFkUsQxjpEFId42qOUMQ4AZyaCEVrhCRTAwDRnxZfQJWnhAoJgVYGZJkUOvGcHkCFxmII4cqUURXHhyIysUEHqVNimLhQyi1yaZgYVSoSZLw9sHDWjtCwMpzn6YMeWrqd/1pLLwbMrKOZXeXKa+ZVPfelPfsrlf2dSv3tyH3/DU0q7mNmtqt5ZWNbU655cOCz9S8siH294n/fDNjM5Z2WAISLIhRfve624/wvoWdbpIFyqLkBsKCkYWsSFi/V8Xih7cSg++9TYD0i0k4SQC0wV4FTquRBlhJ5ybDAiR535t7QP7DpBoe6Z5palu5CxROH0Hm+zVT97+5KeJVjO4hAvb3s2iJg+mYIf3evJn33w+NRfBrS5Oiv8nXHhoKmp92toVuYaAoD3W/WPnTx9O+fy1b99598ePJs36vsO7vJCxJaFi4gnBRhNEgBnbamZIC0tsoZlghY7EY4A2hHKiH5nEmExSdJ8D4AJCnPFGykhDJ7Lx5F/8NOnmJ++2dh7dTub9rOWwnfZN3Vb38h9vv/C3d57vKUTp4Q9HPEB5engWHwbYh+Tq13Tx3X98e+IHRvIeWoq7A1VyQk/OTKdJxi3X81WXXXrJhRdcfP7vL73g/IsvOO/uO24rUuLHpqLgSQimpoKlzR2tubDm5C1FevuN1885/bQzTz35dyefdPqJJ5x64vFffPpxrTAMZcWvdt/rTzfefvUNt1513S1X/OWmS/90/WV/vO7Sq/9y2dV/uvzqP1121dWXXHHlhZddduEll1546WUXXHTpBRddfP7Fl1zEN7+r/nDl1ddcec01l//xj5deA/7pkquuweqKP1575TXXbrjRpnIVliQTfeaECKC6LDoa5WbWQsFi4ZZyjqpb29qHDRsWIpkqEfQ7b7/d1dVFJ5T454WFGa6TKp1kSmYmJdDMYmH6D5hpyNAhTU1Nzrb1sis56ZClVC1EwyE4xewP+wyy07HtXMrTpkyt3hH6GVrb2vr27yu8Y/kz938TxKgq/R984vSum5qbt9phpzXX27DMVgF8d8uUIk6PKCZlt45un9GVZ3bWu3rok3fMmjHp848euPvmA/feY6Wll1x4/LjVVlhh680322OXX+6zx+77/vrXe+6y8/ZbbbHWqisvPmH8iksvefVVV3I4Vlxl5S23337HX++50257DRw6wkg9WaKlKaWmls232nbhRRY14tOC3srFrSc18qeQEIpZpJWWX2nlVX6xprPJSrgxK1KqFFQBas79GpyKdAUZQ8yIKi0GQjH+D2zcDoqOaK5FVi84CVn4YA0NZZwoVZnKkrF7uTAghDbXHOVkDLGOyRs2caZiGVfkFCr/nRA0nkIadXNHopQJZeHHCVXdq8RuAAAQAElEQVQRyKFNePOMhsgGJTWYrAJxpbifQxZCyZALYMITzQrPwrNF6uKt0JgNKQ+MaAck9tmywUDVBJixY8niQZIg8VsxzUz8w5mbBRErJOJssWYVCTIRxZEjssqtQfWKoJDi0QU3M3gvK6aq2KiL3JmqymMWSoSNIEl58IDWFh42jZUsS19MmtrUEv+vpUycZjqWm/PsrVcft+OaY3+51tid1xyz05rz7LzmPLusOWaXtcYy7rzmPL9cc8yOa4wZP6xW4JF9ILz1giKUxKoxxNJZSgmoe/HD1M6OztKMumVSn9bm9haezU7LgqUGuJk8Z+MpFIW4cf5yvW9TfcExQ1qaatSluDRz9hz+8iA8eaXqgIDKyCuClyKiINms6A1RoyeVFCJUkSLMo4b2W2bxsZ5LJW5E9KpziSRBO6VZSpOndT/817e+mzKzKFKRVIjYkawrixmHyV568/O7Hn6laO4jSw1Mhoek/4C3tdiiE0b169OWTDyTOSuozO7ofuwfb/3usocPO/WOUy549IxLnjzyd/cc9/sHbnngha++/SkbKchEN8jJF190nibrjoKJndk4RYoIoyKXlGqtTz/38d9f/AgeITA2wPHAlMxQiSuZiqbay298+vQ/3q219EmpMDNyYmDESgaglYcMbB8xtC+/t7qohXQiONLshBZRYGXLbnyGyf985cO3PvjBUgsxzMulFxu5ynIT8JKS/vHCB5O+m5WKFkUdOXn3qCFNi0/ov8CYtpo6PPeIo29NRfPA629/ZvrsTlwTgcLdKdPdzVkrKmHhbiU3q4jDjti0yd88eFd8xdphm60OOfC3N1x/3b9f+Nekr76YOX1ad3cnf07MuQR7urtnTJ/yycfvP/H4I78/55yddtp+l513Ou/3Z7/y8ovuZb10F0VaBYVb4p+X3a//+7lLzztzz1132nuP3a6+6op/PfePrydO7JgzO9frpCdSSkbupffMmDH1w/ffu+uO2w859JBtt932uOOOe+Thh7o65pA4PpMJjwldFo0x4iXFUtOmT+nsmNPc3DRy9EhJ2UFuBlKQlV2fvPfWqccf++Lzz42bd74jjz1xn/0PHjJkxJtvvH74wQc//ugj1Ga1JuMbKp9pnZPvUQnO5W64j5iKBrJPLPXxR59K1qdve3t7G4SMxCQzlMHsDsqCk9g50FDwlLxIlZuETMBrr77y61123vPXv37kwQdUhRMREchMKaWmv/zp2ksuOP/Siy647OILLr7ggisvv2LKT1OEEgqOL3KKRWUbluxAxKYC83HjxvLUmDZ1GgJSICYJok1sF2liGyHxBgfsJeBZAEuCxCjm6mEtjpCzMJPBBE241X/AkwXAcAmKcFJFhKkHZZgKM7YtGQy3AKp1wIRFTmZInSrkIii85CaDjiGYgqdqwYpygnbFo5my9B9A9B+GO8vQhwBxgSxzToLNSuEwjmSlFwtaLCMugwWgkcjOjINYwBD3vSAKo/JUJOqyokgpMbQWTYP7DaypZlZLKlQUMzrnTO2Y6ValKcD4rL3s6EV2WX7T3VbY/NfLbfrr5TfbbfnNd19+892C2DTGFTbddflNN1tijaHN/YtU1CwV4rtJhCbpNz5957a/3jezPoc6cMdG10zLjll44yVW71tvVp2zwH0QEkVZyDmY2JWU5A22QSKk+igaP97QRBdJpMrkoeGKkVVSAKqsjSd4srkQtihYhtHe0jrPkJGtTS2Jcy/aYykJfjL0g7BCnbWeK++9bkbudBqNwyyeA+FcuJXIVCqzk+6H333x7NsvOC8xuEgiGS6yjIXzJK+XQ/oMam9uD9qpOs/0mQ++8vjpt55/wBXH/PayY/e77Jij/nL6NU/c9P4Pn6iWSYY8IhdjKEgyluYyWQCjUrCqpK3iKpm4khCaTP+BBu3kIspgxZ8aqnMFx3xO7rzvn498PfMHjOVKpdZbZo2l513ce3xG58xn3nz++1lTnBDYl96SaxOGjF1p3sUXHjpvc64pZ8K4aUbuuPNvD3fk+O2qsYuNESP6BFpk5OxihGCyUlFOlpfTp0x+7m9PvvDsUy/8/cl/P/vkvxn//iT0C39/4vm/P1nhEy88++Rzzzz5wbtvk3IYRpVE5q/3idQsiW6MmXf+tTbcbO2NtgDX3WSrjbfcZsPNt1hmheVHjR7d0tzc3dk5Y/q0n3788Yfvvvvum2+///67H378YdqUKXNmzSrL7pbmYsSI4csuu8zW2269y6677rLbr3fc5Vfb7/yr7X+5ywILLcK7I+o0NjRSp4Qoh6rYWbKgqdQpZTiU6BCGBNUlllgKuTBgUVGTJn753ttv8aXWREecWoxZtsrqq2+17XZbbrPdlttut8W2226x1babb7HtJpttPmHCgrIANcBs3nnna25pM6Pw4JuFwADFJZamxmeDiraUCEIKrmooCnvxxX91dnaw/Bn79x84ZOjIajN/5v3/SYRbydr79PvVr/c67Ojj654aLOecezYXx0OCgKKL5h4vd2J57vn4vbeuuOj3u+647cH773fP3Xd8/ukn3V0d7mhKniwKqJzF4D09XZ9/9sntt9yyz5577PGrXf545WUTv/iUW9MIX0SZVAq62UKLLXnU8ScutviSSYUCUGFiBCFAPAbNnbXwIoseesTRo8bO5zJYgdVsgGCx6wJw6zExmAsmaZIorEAKYx3U/7rQFY6oGoFTlWRJvWCIaJGZICoZHllUpAIadlLEg4tYAUlhE5SZVwbQvQTLxCVUrAGaC40UYTYYEBXK+If3BrciDFZiTcayClgYV4UwxB41siG1ygRJKHCZKTKAEhBBLfyIc1jNbmSNsbvJhLFZzCZFyMZg6mUhVgCM/5qCjMtDq7rQq1R686qygmEygnHjok04QlZrVlZdrCoiIkem7rAD3dlTC5mEsyjIy/a2VCtIsKEUoabP6HCrEVwS2uxX3+bylxsutfumy+y+ydLgHpssteemS++1GbjMbzZbZu/Nl/3N5svsufkyC43uy9klXCOEcOEkiJNwo5i5kTgrSQG9sjk99Y7urtALpmq1osY7F9tGhRWTgX57T6d3zfLOGd45Ux3T2nqmr7/sPMstPKoWlRDTsttX30/p4Xb1cG5ExNKjNAuCHRY7Vk0yRVYhDDnxonZVYBIuEwqlb77hiubV/8mWs26IDW3J+Mdoqfm1d3+4/s7nZnX3WM2cFohGuyqwlN58f+INt/+rJ/dR3LpVFFeujBsq1E6TB/ZJyy053njSRk5IfHZnz10Pv3T1jf9848Np3eqXWgZZ84Bc9P/i+/otD7x15Y3PfvHNFMKZVGWrJRYeO7BfbFxvbFVzNM4bpFIxp6f5xrtf/Nern5RyTlEyxoglgoZWxpfVaq++/ck1NzzRVTa70QYUQDSqupUUyZNyOXJon1EjB5cZOhzQf3xUehQonpbKyHhv5u8mz3zk6bdnzlGywj33b9dGay0xfMgAlOvZ+a5V1NpMVIN+12rLjTn2gI2O2X+jY3+74X6/WqVPc7fE1y0ybpr4Xccb73zFO5a3UfW+xQF8NcBZWZBOhkasPPHTD88+9ZSTjzv6oQce4EWZy3rOpSvEZskqUAMwRABKdKbe0/Pu2+9ceemlxxxx2MP33t3CoUTBKrGA3D1n5q3X/+WYww/5w+WXffzhB2U9DolhijFp0CpnUSHqLtGGMueennp3z9eTJt52003HHHnYeWef0T1nRlNhRbKUlBIJoQ1CGBMbBG/2zFlOJ4uib78BkvGP5prn6T/9+Jerrzj6kAPvu/uO9j59tt1ply132GXfQ4489+LLFlpk8bffevOMU06+/i9/NIvgUmxOYxALUoqRnnFcRVPKkh9K06uvvIJ00KDBffr2w8BYgDFVlxE8zowFkJoswVESmAu5hbKZrKOj89PPPvn088+mTpuKRsTg3nNj48CyLPf/7X7Hn3jCMSccd/Rxxx59/DEHH3LQsGHDsa4wOlglaMJKAGfDk+EJWoOHcOpyx5w5dBSeWYqQBoQ0sjCrqGow4QqEF9XGKvjQZv9RM6toBpPRGQYT/Tc2VICpQcRsIRdF4xVRRGcKNILB9CrrRhUoV7cDEuOnWaFtvSBkZnP9hP8QSrBdgIUysdgIeHBRNWGsBjSoULUGQwjBxqpAW1hzRc1VvVIlqwzDrkrRYLpZr0wBETHkQVskhpwZReOo1iz1aWljbTDoEdvd0z27uwNvPNkYXca3kpXmX2rPtbffJ3DHfdfecd91dgD3W2eH/dbZad+1d/jNmtvtuda2W6+4/pA+A8xSwXNHKRwKBypb032vPP3Em891xtmMNGjigOb2TZZcfelhE4pu8S6puBRoEM6VyTpoqTE2Jo+7NsQ0wREYbGaUYWAdBJMEP5twzE6h76zjyAkwk1l1JabC00LzzN+vmUe6WUrsNRZoOTIQCn81+/sH/7712fvnWLez7c4d7ADJJAnMyjlp0ozvb3jyjokzvisNM+fClPqNK9KruHVfeNxCfLP1KlJH6rrsvj9d/vC1L3zx+lSf2dOaZzf1fDjti9teeOCc2y97c9L7qUl8B+RxQnJm4cHEPwuAIECs2EYQXoqVCUkyJsQRmHV2g0nO5BIjz2YXjzFXQPZcpvz6F+88884LXbwiy1JlHjdo5GarbNCnRmf07bQfXv3wzarUzHfjfql1u5U3Om2XI0/d+YjTdj58lzW2aFdTbDV+VL771UcTJ39bKmcnuolKQSJl92wwudNLL8lIQGNCKv/4ow8PO/iAIw8+6KhDAiGOOPigIw8+8IiDD6zGg4445KDDDzn4sIMPuvXmmysL7EVdoliziKQAl8XRlReF6l2zH3/gnlOPPerYQw8++rCDjzrskGOPPvLkE44/8/TTzjnrzN+fc9Z555597lln/u700048/rgjDzvskIMOOuTAAw45cP8jDz34lhuunTntp4Ljn72nVE9dPW7kzfNbqqIhcjqqKMKlaJCqwyHKzFkg+h095TrrrteQotTAKT/99MSjDyeV7JQBEkPp+vVe+5x9/sVnnX/x735/8RnnXnz6ORedfvb5x5902kKLLqr/CQsuOKGppcUVB9ZV5cGGRzoselWzN75OR9tJJtQkorjnIvlN199o1qvZmAYPGTLP2HlJ/n+yG8L/c2woMoJp3vELHH38SUeeeHpze393A7BpnF4IB8iQXMycNRZSc81feeHZY4845OorL//is09NIUGLGTkeUkrGlZIMBma9yIIT9v6771x+4YWnHHv0txM/a66ZwQ1jHjBMZrXm9Tbe/NyLL//tQYcusujiTc1NlTEhwIoUBtba3merbbc/54KLfrHOhm41Mg92JbcK0K5yJync5kqi0HEk+m/A3f9m/ZfYHXljHQS+WVT6COhLRcKqsCGtSAYLg3j+xaxUjeIB52FDco4H1Dyyauy/xdLE48c9yGqE+A+GiZvR8xRMTkdMXKHfqBXP4slpAJXjGC8gOmYwkj2VPQAAEABJREFUEDszuhgHh3DIvMoiiIzUETgDJKEaPixULJMchw1bR1gZ0QXxoMB3dqPTDsVV+XHPqOIWh2KLPQQs3R1/TuwQN4zw5yJWDq8ZggUkbAwyV0glS/iJrKoSwktDw9EVJni24LizklnQXHEaUyw5yRWPnCNrJwfJFLxk1mSqqRf5obOQKvTCLFnwCxMfI8k/jARAOpPwEy1xF8tIl8tkEukmWPUy13OjLDIX9WEJVeUZamiCvNA3/sWEHdces9MaI3dZa9S+G8//u33W+s0Wyw/v344XC1BpevPj7+aURYmBEwcfTnxW7A/oUFw0hziKTakCwHL11k8qBIcdSrnMSy88z/zjhnnGN8ZCzUwmiUl4caVUevMz//7yuLNuf++z71JzQbNSEzds6vH88F/fvPSPT33+TYfVmsIk9p2nloz0jBMSUeIquxeZMLwK5HjFf3a98OrHDz719uzuplRrERbRF9E1l/V420tvfnfrfc93dfM11RXgg/q1rbrCwrneZRVwa1lou+GOmgKlVEz8oefSvzx7w93Pd9a9uaVW41sEj5tkVlhqqs3u6rn7oecv+9MT3/6UrWgNx3IzkyUxWDKLSUkcg/nHDRk6kOdjdWjjxJKicYWVw4xtZWlJj/7ttQ8+m2wFjyS3XF9ioRGrrbgw2SUrfvhh+nffTy/4rGVsfr1/a3nA7usuufCY0SOGzD9u5ObrLbfOagt4d6eXdVzVc9Ob7010gvQ2BBuJ0GTFyMkFHcot56450y8495x777lnWvz35VmZpiLiDsyom7lRTUoGssYq8o7LLUbqrZf1d95847gjj/jbU4/xk0TF5tiU8vqTjz546YXn8aYnq9BmE6AswseyutzjpnTcZQkJCaADZs+5/Pbrr6/7858vv/C8mupNhdVIxsxkxlWZJ+PMyqSyzLTGXKlAScnAlKRZ06f+469Pv/n6azjebqddfr3Pb62pjze1r77eJldcc+2662/49aSJjzz0UMISLwqINIUz4TeTSQMzEF3M9fo/n/l7S0vL2HHztrS0wlIo0zTslGSWxMc4mwupIhIQhKwiUhVr7bXXefofzz369DO/3HU3nJSewwWewmGZc7nTLrvs89tDf7P/oXsfcOh+Bx32m/32Hzp8qMlQbmDoskkk4UYLzWQRPZmpKApjD8p65j5CBirAhRC9iFEVKYOMobpUjR5bIckMf8KB3APhKLRFOByJE2aOZ8/EykhiEYrurAzPqpjuLqESEwzMY7di61DOSEschEZlYnxqyYVZPLXETWRWisYKMxd1oi8WxGWEMi5VQxDOieoN5awrZVRBA7IlNMGQiaJiiVPJYMYFVdGklRWOGsy5qWdHrxFXljMeZPhyOoI2+kJohpJZHMCQwZHn6h9Si1pyMtD5AJKavWhRrVlFUyxVs9TkqUnV6AXSmideABI+BVQVBV0WNq3WfddLT7z2xfvcb4jMomnjBozYcbVNBqrNc1QAnwTIA2GORSQZV3CdAhBF+w2eiY2BH3qwTcilCCaApRrlo1JhyOkBssgqlCt/btyXS863yND2gYhwzAhPRqtQYMUBy6WXXUV587P3/Pmvd0zJs73ZYusKWS3Qm1Q268MpE8+7+w9PvfPPntRDRCcF8qLlxgkzHJIpYb2rvvrSq+SeKpfm4trHbnvwtb9O9zk48cJz4XjmTdxTy+/+8NHp1533U/d0DhZuogCFR2iLAJGblEwJzyYRQkBSRVji3u6tIEyNOth5HNDr2GG+65AYXDDDntIx7cF/P/XtrB9VCKctVlt7yVWXnndRGiHliT98/cO0yRx31Uur15cYPf++m+669OhF5x0wZolRi+64xhbLzr+YSrbESGbKrOlffD8xc+gE0G8noMiCpii4mXOS6Yuxm5F5pcXQ1dU18auvJk36atLXk0CeeBVO+vrrSV9/8/XX3wRz4qRJEydNnDKFP5uTtTgGGDYaw0ikQHeZN9f0/usv/nb3nU859sg7br7++X8++9knn0ybNrWnu/oPRsIsLvKLSfKcEc2aOXPSV1+98uJL99x+++knnbj9Nls/+7cna0l1Z9PQcZqVsaG3GSBScLxRWjiiYQaEXMElla66Ntxss9b2+NYaKhJVd3Z2P/7Yo++99UYTL1IByclB1tqnX58Bg9v7DenTb0hb36Ft/Yb0GzSks6vz5ZdeirCOlvDf2tq+0CKLpqZWGD/z8cLmscQTaXFwSZFsy+w5q4HQnkvegI/cf99L/36hUg47mSylMePmHTN23vApmen/DdAAE2r9Bgzadc99rvrLDTvvuV9Le384hcnogLmHI8ZYkpgZ54uwgYXlGZO/O/bww19/5ZWeHn6HNQnsrVFmoWtuMksFR9pSqjhCgpKZgM6OOX//61NHHnJgTaU1+h6nK3lOZWk5tSy69IoHHnnczXfee855F7a1tWPyMy66yCKnnfG7R5/865nnXbT0SmuUqame2WXshe9edJlBUoxjaCIJg0UBFg8KSDP1AgTIAinj/8QwpwNi9uoKpV5b9wbhjj/hI25POYRCq3LEHTx3Dj50MqP7buSBoQSbmbWkMux6b7EgYf1PdOWGoSs+ZldCZ7Rwo+h1RfwsddIxTxUzypDM0A0nJsm498UGVKK5qVoOUaahIVV2lhUyEF4ADukoVhAsKQUZ2smpzRQZwQaThKRqh6cIhBApPhs2lWqqdBTdQxbhqD0JiCVTIMbYKrIlEE5pmmEY6iRiqsDDCRS1UKfQkRJMl/EMyVVcI0cZ0K9v/E8sQOA0V7oegHkvWji3WMSAz0iXu7Gjq56D05AEhZOq1cyBUuyyydDgMtrm3lIULbUmlgSB31MvS56/UDKYMVOHZ95Qu2y62kHbrXngtqsdsPVqu2283CqLjhrU3pJMpIMtgb76buqbn/zUXeIN00CDSxlzvUQ1Lhwjk0pT1RfsZTmawnPGVL3Y0UqhZ33aWzdaaxHzbiUpWewPjWIWKgIckOpqffezzgOPu/XAE2+59s5/3f7Qvy+45ulfHfiHC6/52zeT67JmNInmlqza8Yjp+JNVgp6uadtvsVLBZ4nKKy6nzZj513++N20We1NzkoMlsVPsiNBxL9XyxLPvv//ZjzIrs8pSfGTZbvNVvJwtRTFRO/ESeZuMMOSemaTaT7Ps+nte2+43l5115eNPPf/2Wx9PevvjiU8//9YFVz2y1yFX/vHmf/4wreBxEzGzh7NG2mbCqWRmpNK3XSsvv2CSQLGVqk5C5iBg5wktYWaWiknfT7/jwRdSUzuL0Cxn7rHTWq1NNQkNffXNdzmnqiZ5vVxmifnnGdm/LL3MVs9KVltuiQnudXeST7ksvvluWr0sIlqVGg1B1GiRBJt8Q5BMr7304r1339XT3UUyIQixUlEUTc215tY+/QcNHTF61Jh5weGj5uk/cHBLW1tTczMKomo1ag1vU6b8dMG5Z82ZNcNooQN56g/f3nHLTZN//N4UYLKYpCLVmppaW9v6DRoyYuQ8844eM++I0eMGDh7W2qdvUzMnvUlzNVXBnNmzHn34oddf+nfjyJKzzJDE8aAWkbhBt7e3yeK38e7OTnTQKCyZWVHU+vTrv/zyK/3lxlvPvuDStj4D3AqlwlPT+EUWu/CKq361x17HnXRSPZtL6EsqDEIsuUzQRj08NLOXRbKXXnz+22++HjR48OJLLiVLqsDM6EKk415Y4rt5kSxZQaOKWmpKqTCllMwsiQYx41jtffvNv9AiYxaYMHDwYGw9jqSoRQHhsLm5WXwOT61Wa7eirdbcoqrl5OYQrgrccGZVI2AqcQhkmjN7jsvwYMQU7sufM2Slav8qS9gcRZFcxZcZ7mLJ5Io3SziIrEkQBlocqFxphS0sF49KJSQKDv0yGSt33kuCxHlWgAlbasRdQlWOVTIRwQqz0BA1OGqZbhimaLmFe05seFcFkYrjKxbQMjM8oWsWytjKBGayk3ApCq5uj8ooTOToVoQgVC3lRIKXYUnhkdFkIXRGvFm1FBSNbtBCQQGZeyzniFSPe7yr3pODHVeStTY3tzc1GxCuxEB2IK7cs0lIkhWYQ8CsbM2Uynq9s6vLAVXZmyFiO7O8J5Wfzv727pce+3bWj075Cic1pWXmXXSzFdcpulHJ7lnGP3nOSTxdRXtA/ReYhHkvw908N2gLOzOMHDlM8nJH6m5sIEokyCgl0BgtWYBkoweOWG78kkW8Q+Bw+guTRQLRyAwtgppPqc/4y1O37Hvp0Xe8+PCXnd9Nb+oEvy2nPfflm6ffccWvzjrwyff+2Zm6s/H1m+2p9pLoTi1ZuVpm9a/1je9adSnZpz98cf9zj/TU6nzLkllEQYvERd48HfXFjK+vuf9Gr9HGaD9eDEgm/kGYEcYkKqJmQyWZIcORFGRFwM4ifnKvXDNVBK2jz7HCb+EvfvbGM2//q2wKS1kaO2DU1r/YpE/RlkjO9PWP38Yd4k6UJi9WXmS5oW2DvW45y0sN7zt0kTETDF90zLyz7Jo+azrLpAwQlfSySMSrPQ6KAyy8IVAlp99VtlX6FKRQSCYLZEYZFrqGekOzQZgqdzEQQJGAOLE1+Vsvv8Dfx/75979O/emnXPJcxMDNMGjY//f4v5msPdenTvvp9VdePuygA//65GOFkbxyNqqskFKctZdUVsoz/TFVTBw7my5MzKrDYBoyZNgGG29s3DXCt0iFvN99+62rr7hs5pQfmpJjG9ucvZ7VU1p3jOHb+VhVs8suuuCH777FsRnm0Z/x4+cfN35CPSderxE1ikf+H7QqkGTZo2ceyQrnOeci+ecfvc8f8sp64+uNAlxtbX1+seY6qamFoHDmeoDsxREjRq655jq/WGPtVVdfa7XV11573Q223n7HQ485/oa77n3l3Y/OuuCyCYstZ7XW6t7B2hspGEdESjIzfgBIlIk7k0ze3lqccvzxX37+mciPPGEZfBVFramFV+/g8RMWXnr5FVdefY1VVltjhRVWYdl/wKDW1taiKHCnuZDL8p9///udt91aS1Y6JeYYeCdk/Cor1dr6DeEtPv/8vNTnGsW8xDLLbPPLXcZNWLSpfWC9FBvDc62wTKL4J50UDjxUJXMzAbQnECrSxohVLFg5KuiYUWqqeMFkCVa3YfDcxGMlKMkIqQoafVGDExE5aoSUhK08YQ4Jzo0mIHnYExEllrGISXESkxluwIYsvAiyoRyjRHIyITFoGf/EAhPcumcIliCKKFREY3Mh0Y4KoRBJVqFXhRGYRggIqZkSVpKysECxKsvdeUAEB4ksWRFBFQ7IvMBHdCSeyiGn0JhonQjlohvQbmZK4VEVYOTVygyHMRCKSYSqFBpECpZZyLio04x9cBcrY1BALGMWTPrkZojkxuejVEyZ2d3N59jQIRNhPX7s4FzvxFeVWhjUS5vd7R2lOrO63bpdPdlLgoCKS1JnZzl7Tl08LipG+CMMtKMRK3QIYPTVPMKIgSdLHty3pRlUO1sAABAASURBVG9bs7OMrDSnq6ejx2X0Vz+DsaTJngt5TSo888HTJCNd9cL0jvpjL3728fddmT+eYG2cM/xEvwjvTnDqd0U6VWW0WEKRBEFjSWdwltAxZhgwa0krLDXf4hOGkzlMVEKZCz/ZyQBV1BApNXvTwLc/mXnDPW/84eaXHvrbhz/Nbi7aBmQ++xIQZaGLSehKbF0QRmY9c9ZdbeHFFxrrOfe6kv3w06x3P/6uKHiPEZM0SRyC7QCjoCgmtT/4+CupiCdFnU0p8+gRAzdZfzkvO8MPFw9IhZXJLKJxTitbpaK5X4f3e+iZT0656Kn9jrv9t8fffuYlTz/2j8+md/VJrYM90eaaLPEow9SlypyhN+2cu5dceMRSi86H+6iM7EhIEl0T1SoGNjqps6fn3EvuVupjxrtMuadz281WXmj8SK/McDdrVqeqp1TYeDl65ODGXlFzwp28rb2lQE8UntnFzu56vSQEScXDQbEXMWQLdfppgLy5KT1w730IsMuok4ysX78Bm22+9TXX3vD8a2++8cFnPOtffPP9l9/68LX3P33z4y9eeuu92+578IBDDp93vvHCrPcirn/7zTevvvyyhTvnETDtp5/efvPNkNNOSnYvitqCCy966FHH3/PoE/9++4OX3vuE8fk33/v3Wx++8u4nhHjoqb+fdtbvl19xFTQxbKC7f/3112/hivRIXV6FoM9UbsZQ4aAhQ5pbWuv1+uQff0iClUjCUjF2/PzX3XTzXfffv9Iqq02bOrVIqVZYU1E01wpLtaEj5jn/0itXXWO97KRoiorc2KbIOVZZnBz3bLzzietdc6695hrJ5hs/foWVVgrVCJZICk34MrEopGSEKswULRfg7uGjdI8Dw86YcnasGDFvaCCUBbCE8JSyszG83OIsZMRhz4Q9clMMkYHHDii47hiY27ffftvc1NSv/0CzgpNfEo7AZBw1ooKVuLJ6AacNCiduNJoZh56MKEjcBNngm4IZCpZgJpMqjnAIgQBUQGIp+qm5ItxUtJmlFNJMEKuylygWQ0cGKpjuhjkqTkpBGl/rzBBjroKVyYSqlahXRFVIKJiSUoKSzGSJaCjKJJkxGrG4fVkEERwEOYUEPXgCmLLDYlcZjcbFJxz35NhZkQygr/hiH+OJ75EHyXR7z7Q5M6nOcRYPrTS4feCwvoMNb6RSszCuJdQ6OVXeMzt3BZads8uurpI/EfAJJTbclefUO2d0zGLne1Q2kLdIqbLM8VrqLsoXvnr7kTf/Mb3ekT2yINEWL7Zfb8uRg0aYSJHkBTNSFUdOHoMAOMEnQ+SRKBdskW903qPxIXShySUZLEakILbV3mouwIgDgzIhU923XX3jPt6ajBwI6mbYVyfOKgvWyrnweqt/OO3zM+++dKvT9lj/mF9ucMzOGx2/616XHHnnSw/OaulUq7HprvCAvVcpZLfMouKpu9xy9U1bvZXcUrIX33l5ljojd0yU3ckxQ7IXjKDX0rNv/OvHWZPFwjhYhUNk3HFgKp6nbI5+8JM5LmAbSROc8LBNjWWI4sqkiI4EIVlg8p96pv35oZt7cE+6UlFqy1XXW2jkeNVNckvq6OLBDqVsStLQgYM5V8I8m1kqUq1PaxvdE5CsNK9nBIWThcxEJuSGnVyiDOFUCCkdjEXjMrNaU3MN4LFXS7WixifjpubmoqmFT95Nzfx81lqDrrUURYGTQMdlWDM3EMeEmTNz2j233/rRB++GDmtZRYSwqam5b78BgwYPHTpsxLARo4aPmGfY8JFDhg4fMHBIa1sfqpGZEvpJWTnXv/ryi5uvv/an7781Vjhwdc6ZNemzjz7/8N3PP373i4/eY/zph289lzlHJJGOJTM8iB2FYprTVf5m773b+/bV/4T77737rNNP/em7r1oK3jsZU7Yze04u7tmWWu6c/sO5p5380P33NuyqLaa3tvSyy46ddwG+QrqqQCH2nwfyaCzoNkjri5RrRdlc5I6Zk5996pGD9v3Nd99+7bFBlWI4SaPHjN1osy3qPIUjD28Iwmd10fONN93soSeevO+xJ+97/On7Hn/qjgce/sNfbjjyuJNXX2cTa+nDh09LqaDglLFwMyMP4TrhC2/ZPVvOvflmWe6cPfuJxx6JaEJd4vi5Roya57eHHPrg40+/8u7H/3j5jYf++ve7H3rsrocfe+ipv73w6huvvfPBLXfds8Mvd+nbt5/+J9x91121QjmrHjedd3fOKbvnOMhDq2dO2dNZ747/UOi/jeo9PbNnzZw9a/rs6T9N+/Gb7yd98sHbr95/58233XgdHxdNPCA5zs62Y+WUEVOUZ4o9doqDYxaDZPS6UmIAVUEv092QB4fdiEnciY4D45JMgNGwioBGnTEQjtErE0pwPcmlrAqgWVSkSNLxYGZwQ9uVhMfIHmYjof8aQyWMwh10mEvcqDh0k4FIBcBo8GHDariAX6F5ZWKx8KCDEPoKsAiODYgGmrH75GTVThPZKp9yds3RRSnMEEgcJOEHtrjIR8Y/WAogKa+WsRCUMTiXAiAcXpDwhRs1wJw5rgjhPDPRIh+YglJvNhUtgHVVbli4R9LuHOL03ZSZszrriqREAN6Syy02X4t6EjbRfmEwpyzu+8d79zz7/p2BH9zxzAe3P/3WGx9N5AWp8Iuqfpo+c05X3cXBiRwrf45QwisoDwp2cgZoQ9Paa3nhcQOba6EAD51ps3ri/17MUoOlnwF96+WFB06Gox7i7JrRXT7wzw+ffHlSt7dwc4aE4qTsRpK0xeKM0v1K4oBICHesWZTZM/sWPNgiDuUbIE/KY0YM3GDNRfq0CrljwyxZ7CqOqxwqL+FdZkVzau5Ta+mfmtos1UKMFpYYGp2pFhAmBRK8Pmxgsd/uG5CrAsLCzb6fPH0mX3BpUvjNIcHaRVJgLFFKtTfe/bqeqzOYlbP1dOedtl5l9DBezHXUUqXvEdNkGDkX/qCh3IqCV1HboJY+Q1r6Dq21DUrNfZWaZCkw9NDiqOMgY2JWmFnU7eXAtnLX7dZsRlFewEtJEhFMaGBPXXSSTwy6//GX3v/0p6LWhjyXPeNGtf96xzVyPYdrE9DS0mwGBWJsczq6YNLR7F6hZs3qqJcZd8GQ14okEyJ37lLSqxJ1moA+bmFntFPyDz74QJFC5c89pbTKar846/zz19los34DR3bW0/TZdc7btFnd4Jxua2ofvNiyqx590qmXXHEVr2zM5mLqmNMRvxESVxFx2vSpM2fN7JW6k8/I0aNOPv13+x1yxLiFlvZa39ldPmN2OaOjPmNON7RqfcYusNiue+395+uvn2fs2IYhdhBzOjp+/PHHep3fLqrNhuXVZRyaoFgMHDhwzNh5e3rqE7/6qqenBwlJuNyAovbnv/z52CMPv/fO29pb+KghHvc8Dbh/2LOeUpxtPKCMupgsGhVEFJKdcx95uMruB++7+7l//qPW1LTDTjsNHjLUsxNIjpveNPBjsMxwXnBh6LERbA5RcjhzQEIrSeKyn8Erb9SEQBaDh1uDjDkETkh3hlj0Rg9VUsgkGOdc7j5z5qyJEyf2HzBgyNCh8LN7LikKUSAXcTHDq5He3EgsccsYUoW+0YWQNi4kINZREam5k4izhusNkNN2PIcfNEi9koVOQxEOWPmDQWVWaVeMGEwiJe/thFwZTm7YhwSq8i1GLqK5Vw8ucrb/cgUXW8dB48IuWFU2pIppw0FF/Dxko5HER7vyZQFV2MyIMVyzUMcZyugZ3kAhZ0VnGFl7XXny7KmzezplxmngM+zI/kMXGDq21WrxkODDS5HUUrz2zYe3vPzYjS8+csO/H7ru+Qeu/+f91z1259dTvidWcizjU8l306fMqXdl5XDNVYViQXGs3PMcdT7w6tMvf/lOF2cZlsKytdbS0sQT2dQLUReks6nhGJIWEAd+VUTFMJlVRMyGLu4ckDALuiFlAfa2lnAKgMOEMjpGklmLjllw85XWT/zKz0k3hNTACEVEPGJpFl7EW8RbU71NM5u6pqeOzpa6txfebDmJFFHBBksWVRSSNJjuZvU8pt+IrVffNPM3CxKUf/nD1z20vzLwCKLYPAVlZuLOL6wjd3/x7VepEPuSjCBCggVpOX6hFJA8xlhBIEArFmTBRnPUIRCETjIzvri7V+nJLfc0ldc8cMMXU75WQarynrzQ0Hm3WXNz9YQ+ijSquak5/GFKG1Ixu7NTUa+TgufcU/bMnD0LouGzMJ5dNe5lx7vCJ44qc8rGIkg4/8FIzWU2avTY/Q46bJ+DjtjnwMP3Bg86fN8DD9uX8aAj9gMPPmK/Q47c79Ajf3vokWusvZ5Z+o8HxUOAk1YFJUqeOX1K4/9ada6Op5QWW2LJHX61236HHnX48acce+pZJ5553slnnX/S2TGe+LvfH3PyGYceffxe+x649rrrt7W2UzVYmfsbr7/+9cSvqN4lanz9pRcO3v83u+647a47bLvrjtvstsN2d992s5c9bpTmjQrRBEWbBJfN90WXXHazLbYkDf0X5JxvvuGGA/bd5+5bb+A7W9k1q7lWttZUqGvyN1/87fEHTz3+6KuvvEyVr5/thgwdts56G7X3G8jj2klIlDxXSHyW8s8++/SdN199/+1X33/rlXfffOmNl/717NOP3H7Dn04/8dijDzmEP6mxX6E4166pueWAQw4bMnSEFJ01/R9Aezu6y9ld9dmd5cyO+syOclZX7q5TBLeFFYWqFxYFp2QcFDyYxeBMEIaEhliwJPK2adOmdHbEf7wjUqkyN7Pttt/hqONOGjth0e5c420+bWbP1Fk9U2f2TJnZM21WT661Lb/KmudddMnyK644d4OwFoZffP5FveQ1krjqXR1XXHju5RedfeVF51x10Tl/uPicKy44585bb+ni6IZ678XPrJdfdP75Z558+olHH3vYAfvtvuvO22512EEHvPDcc5TgPLGrZkTKYcE2OGdt7lJWbUwjDQ8FONX0fw0og1K8Kaqzm2UVI3bPjVh0gNult3M/+3OZG1DFEhApMQXix2MWKaESY7UUCy5kECApMoL/kYY75MFACkLlYGKHn6AsZohQM5kgUXKHCtI56opFpceKuQg1ZVVTGDjMuSsS/+8nFRZ4YMSJEYNtK6s8Kq6HF6lyxOOuQagB+LQKGktGFw6qwSI7OL0Iu5eCD1briFkZOJ4TXEUY6Go/KjfomRpbgSYG0RveuiToSrO6/ONJP+aIZdjz5Jxv1MDVl5nX6x0Ks/DXpZY7//rRXx57/9pHP/gT+PD7dzzx+nc/Vf8/FiwU3PTVDzOmd2aIaJUCDHvCQAbFJDMoC0qcBO60nuF9ylWWmpe9b3Cz64epHVNmdEsJXZRM/DP1QhAOhxgUZMavo53Z3vj8x0tue/6OZz6f2t2cedU77xc3oSFDk6IF7fjg8hyd8YwgGpDpRygITZADTO8YWSMmBzOrpbT2KguvvMw8Fl9BSczIjgCBAjgJvT6bggP1AAAQAElEQVTds2eQGR+M8EGcoRaOIwSku2d+/MjK9Zrm7LLtqvOMGKicHY+VLsTMWXNyY8kmOoA0xpw5WTgHqcamz5zTU7fQdBn6WaOG9t9u0xXbanEgjEQb2AhMo6WIQADHLyGVPXsg6+zhHAJmw79LqFfGFiMDZaRy9j67rrXQfMPpHIem8YxMsgoEkA+Io3c+nPTIU28Vzf08cqvXrGu3Hdbo197qsRYe3TVy+BApdqUKVnvnvc87unj4eQY81z2/8fZnmQ/T8QUqp/hfzmwv+AYVO0iSGSucZDxmBiuz8btdvcRcJSZkMxdR6e7u6unuamsqWluKtpbU2pT4nt/UZLWaNRUqilSrFclST3c3PufaidPDxZchmPgkjCtJpK9ecOWcy7KnpSm1t9Ram2utTUVLk+G8mRBN1hLLoqmpmDFjRk939XkkLMnIOYolA3WEXxwhcBpLLDOisFSRitXXXNP5I9jEiZO//y6xB4idoMpl+eLzLzz+6MPvvv1GLcX3XgpQSrLGP8Peokcxywqlop69BEsyDsIsp9z1zOOP/OHyS6dNm7r2euttvf2OPVEt7a2cYEpCvYhD3MWC7oK93rJKTLJbNgujuE2SqTDjBoDjzgmAVFhKHFY4FQbHXVmiAUyePQKjZ9YwIB6BciZbwXr15ZdmzZo5ep55Ro0eU3IPIUNZAaa5FDZCOSacV2xo5PiGEGDVi6qSqgKTJQMaCyN4ryaO4KFpgEyKCUcVFQvWYQkpeFUOYcqVUavqcQsJPqtcFAAHERRcEMKBmCoPQSTMRVOCFovU8F+Z4R0kLiPyBgbtKHljyUhY1FnznGIpGSDJc24EpfNIRXmEJQGP40W32Q5WBEcziLDxipmw/HHO1G+n/oizJKVU69fctuqCy45sHZhUwHRTrtnr3354w4sPXvvyQ9e+9MgNrzx68wuP/OOtl9va+iQ0jMTjAf7h15/3JOerXTJ+5in4YzofGgtRK0lF4pzObzt/uuFvd3/bMYW4mJLI/0DjgDtFhUFvov8tD5F6zaLIJIpHl6lCI9eKYHDimlCGabQjusJaWEgW/xhw6AhTXftuvuvCQ+c3fqtsiEItchaEUwPmFjRznG7PgHIWRzxzRTZoYstI21EjL7hZcR/l3Fqvbb3a5vMMGBVLeMqdXXPcudPQq1JUY1QkZNz/hYqkms2cPbOgoebRZTNDzYwRNXaXfsljY+lW0DKRAJcMhYp0eMFlYu2w3aLPcYisyZ5778XHXv6rtbDXiNVaFoftuO/g5oHiWebBkduwQUML41/BH1/qhd7+7P05ZaehIefO+3HWT+99+TFvcPogt7amloF9Bni1iDY4XiIhOMSFqpJhVq8A0uHZ2PHjjz3p1COPO/GI40444riTjzjupMBjTjzimBOOPPaEw4457rCjjz382OOPOv7EDTbeBCOZBQYVnogDxmbk3NXdNXnyjyGZe/Xt12+vffc9/ezzDjn6+F/tue+WO/5q/c23XWeTLdfdeMv1N9tmk6133H7X3fc9+LCTzzjr6ONPWGCBCfQTbFhPmzZt9uzZdJRlMk2b8uPEL7/89puJ337z1bffMk4aPHiwOCMcBzRkomxOlWQBMcqK5rY+O++2+0KLLKqfAUXU3J9/7p8nHHvM4Qf99siD9z/56MNPPe7Iow854KiD9z/x6CMeefD+Kg1Ue83MbLU11lx93fW6MxtAU52Sc87U3qsh5TLfcO21Rxx84NGHVnjYQUcdevAxhx12yvHH3nvXHZMn/6De3kffwspsmx132nK7eFmYRcKMik0J4X8uV2VQJKWUilT0Ah+rCksWaA3AJAim/6DHocN5huXGIDU1tViqSY2VMMH/T1Mm8wWsb1tTazNv3qK5VlRvXt7vqdaUeK03N9XmzJ7d0dGJfrjBGqQkd7qAh2Tq7uy4/KILL7vw/EsDL7j0wgsuuejC++69p4u/0IZN7/XJJx/fdvPNN19/w/133/nM00+++/ab06dNUc6Zjx1RLDdRcn7rVQSgwyCWhIixsYAKRAGUjB2tCP0f0GtIqv8lTJgEpxLSI+9tTrXuHdwrorJy/cc/tqlicuJcivJRBStmVADB0iq/ECz/L8QWtjUc8whnoXDJE6YhCgbuKg8REVrkEQYVGTkjdO56prCNbUYFDxwa0ofNiK1lEcEafkMLB+6Zz4eY9bIFGejEoEYl3IQaYpygnRyxhzWqKeGWWWg7cgmCqCCPYjiYol6hWKoqlNzpCuiy6l2RzeBhy1JAo5sQRK3is7W83eRmqanPP176rJtYlQkptiT9equVR/YpizL+eOpWlKm5O7V1WZ9u0Nt66uUi8w5ZZZkFi8rEjB9g9NnX06bP4clJT7LjnuRAGf/ImcRQgyBJUwZT7tGsb/baavnRg/samVU4u6v7o4mTO8tGmsLKQ5nkoDV5Rue307u/mdY1aWrXZ9/NfPnDr+985p1Trvnr7657/pl3Z0yvtyrVDF+eaSIzLhmpKEoVidCxbCQYrQyHHkyXGz1R1VOUWUGDZsbSTHgb0Kd1753XGj2k5vUuYSE30JOYguBCD0HlicIzX6Uksa0EQSpzPJkng5KcKfNs6561zmoLrrvaYjk+qJoZJiQZ9ba0tKCGsTe4RAphSOEHiZariZ+Qg+CSqMPEpqy96qJrrjw+eY8iHGzyBCOyydQAoxHQWWSNdeSMoErTQ1MpSb2xJWgWKHvZPXOrjZbecI0llLNXGpWSGSoVFTHdkM3s6H7oyde+n9JjqknK9c5frDB+paXnz3xUkBFJxMl57Ohh/fo0Ed9lcD6fOPWGO//eUc9Fc02p6Znn3n7y728ZO+uRRGH1CfOPJGUzq9RJX0BjlbPKrJ6s7lKd3XnCQgsh+hnd80v/fn7/vXa/8uLzX37uqe++eL9r6td59o/lnMk9M36Y9v2Xn7332qP33HbQPnsduP++zjc2yRqQUlufPiNGjaJP8Mrs/QcOGjhokFQpKOD7b789/ugjjzhwv0fvvuXTd/499duPO6d93TPz+65p30759tP33/73g/fccvgB++264w7ffftNGMy9mpqb+vbvr1TEM8BpIgKaI7k7p8mcNXXtsON2Ra1p0qRJn3z0QZEiLnyUEIWiwhJ+stDHTm60mS3i3i89N7e27/nbg+997KkNN9+mozt30yb35pr3adHUHyed97tTTjr2qE8++mj8+Pkvuuyytj4DcsnJpnjJVEHllgXBiCrhtl4C2YnhpVnZVOSWJsnLlBKWZjKAGuA1EJf4Ck+sraSPeCvJrswNmmIqHQ+d6sFo4UUKrgmr3Fyze+68iwbMv8CEseMXQNOiWy5MXJmuhVroVqQlCYWGVJE1FpIcjwQ3FC0sWQYXm8zci5QRVFgE1yKQQhtLr9xyD4UGV8mF2wqrMBaug+k8c7xRHw4MiIMc5vbzAIHDSlOkRhqBwSUxM9yEWCxkXqnBq0pDBDtGrmCizaQqRpWNq/Ev5GEiuhQZGtngTWHu7rSOmB4QO2psrItjokxEyQ1ORdEv9ljfzfnp4+++5FFt9Ni9prTCfIuvPWHF5i6+HElEMNVr6mpWd6vq7clrqej2g3+597C+gwqLI5LM+Jno9c/e9abY6yQ+mKdCqtAs4lTZSPUm/2DaV1c/cnOHuk2G95/RFVlnBnF6Qt+dZ4/gy3o1qzOIBUtixp6Fc0U1sMTeVjzB4VJmw0GjZMdHqEhigpEk0PmugHO3Ea2DDt5qr0Gpr+UowQABoWKk5CZV7WMHSCIjcq6IRpaZg6HQQtpwWCWABozodpdWmbDCRsut06ym6JfRH2trbjVPxic5giRT3PA5QVvQ4t4rCpc1NzU7vgVEDjhUXLDIS9EhEiCce+kUnKlXHkOouYx/gbB6k3ZMWaGS9P3sKTc+dmdHwVdMKszWXd9qtY1XXnA5xY9IBhRJhadxw8f0a+tvtcJqNW+yFz5+49a/3Tun6Kz1s6k+48an7nz98/e9IEORwYCWvmOHz8MprLZSjWQIalEbSYWamUiKQRXE0vOXn31y6nFHn3HiMWeccMzpxx91+nFHn3rsUScfe+TJxxxx4tGHn3L0EacccwTjSUcfdt/dd5EuHgKjdXTLbK47iksWfVOIFZCsY86c6/9y7XV/uvrtV16YPX1ys5X9Wmr9W1sGtDW3txRNVnbOnPrB26/ffvP1F5133ieffKSfbUXiyYyPY/BcZnzv6m78v8aCIWtrbx8333hLNTk6BlSttSJZMtQDk0HVlllh5T322W/Q4KGm2ObohatqkM+YMf2Vl1568N57br7uzzf++Y/33nHrv/757A/ff5dz7Bo66FVow0aMPPak01r6DOCOpskUy5Z7r1qlUg1fffXlO2+9+c4bb7zz5hvvvvXmxx++/923X3fzTYPkIrBMgQpIa627/jEnnKyiJXO2VfGNY9sIrf8GIrKMnwIUNSSTAYlSnRlECqaKYkwpNbxwWM1N8pSomQtaAwYPGTXPGPQbSC0U8sC99+660/aXnnfWc08//Ok7L/345ftTvvl06refffflBx+9/dITD97FCdlx261ef/VV9MMQfx6nbMTIkZYSCclUJJOZBCoAnZj+z+v/kNF2XObMLUW/vOEGTsOeuCC0R4gQOosKK/7coBVn7hAqFrow3BoDvuXZ4ZrRIHEbM8f2mChAFaBrAFqmJCCsmAIT8ZBLPIDMK7eoCj8IWHMg3SVVqxigQSjGn7EyYRWaTIqnWszYMRl1hwGnuwrFWpGxyNy9WrlXCQiwyIQZDCOKi3JCjWVWHIYqXOMgIUODuI7HwqxQhMAnHtH3ygvPFMHHFAFExQ2Sel2osVuKh3MIRCiMuSeq7ENNARaGjqvEEUGETqWOotE5VMwYFGpCbua9DDk8VQtiSWibFy2vvDfpy+9nuCExSVzjh/c9ZKeVh9dmNdXnFLlM2UHVc653e8eUce0zD/7VWoPa+TIgwHP+cdqs97/6qbMsnEX0w+FTTzXKSyJlpsKzlWWNP+Z0zxyYJ//+4E3WWHJcgZ5ndyb9OL3z5fd+tFor9mCYY+qREr/HHH7WjTscde2Ox978y+Nv//Xp9x9++bNXPvDRvz/r/LG7rcdalBKPDvyENpZBMWGfeh8A7onbHQYdsBATla2AIRpHp2LBwcx0IHrmmMNKYu0aMajv70/cqW/zHGXe9xJOuPcFeLTO8YhBRToE/OS4DZqJJa4iIDLnDvHScvfSiwz/1TarDewTr89QJJVq4mYYPnRQSxMNy8pYYYQHRgNyhpNpWM49844dVhTQIh/SJCQOBvRt3W37NRafMFi5B31xkkXMpHijUye0PM4ZfvAJmliSlaHDMqPBVgp9ARYXRbh7ffaaK877y61XqhnMBM9kEgQoqyDsTfx75c3PXnr9K08t9D3ncvCA5k3XW3pA37boFK5IAVX3tuZixaXG801M8d7nlDXdeOfzO+159q/2v3i7X5999sUPdtbbLdVo9YPd+gAAEABJREFUH0YttbziMgtnmmdoG4nBzO4830onawuXcGUdXT1bbbdd4mUWy96rs7PzlZdePuuM03bYZps1Vll56cUXXWyh+RefMH7JhRdYaZklN1lvrcN+u+8D99wx+ccfnPQqo6gp2ah55lluueVzlKUsDRg0bIUVV5HMgcgidum7b765987bDztov803XH/V5ZZbepGFl1xwgaUXXWi15ZfdcsP1Dv/tfnfddvPEiV+440BzIY0YOXrhRZfks3j27E7YQKpAAQb1JFnOvvQyy62w4orffP3N66+9qlxnr3JoG2eebyuQXrk1I8XSRDP4ts8fBR3bsswsho8evdRyy/cbOJhvkZ79u2++vvz832+5/torLbXYn666/KfJPyy48CLX3nTzoOHzdNUzLqrbIPyRlFkKx+TEkXCFw3pZ9vR89/Wkyd9//fUXH7/47NNXXnTuDltueuO1fxLJeewFLcxOZ7Li7pA7xtLc2iZ99dWP306a8sPXU3/4dtoP307+7vvOjg7PGRMeGFL0lvLRp9IsUUSSZkyb8tCDD/QbMGjV1dfs06cPsTiEyQAssBE6xCRIoLsjrmKylBJS4zhWTGxMydzkVjIKc+cyBWBK3KCkpIggdp7kcClqQU4ckgwaFdYKqVwqDJ8eAgZSJKIajs1RclRwIfxJIiVGGbMZdcI1g8ORrvQwFLsMnXN2tt4ML1YlrExYMPQx4Qj0LhxvMIjNi9NkxoKwTnbOZmQzSkYXr0hCx120PaOKzJxZCitJHurEc7MUjUBa2HTvfPWrd36aPU0kHErep9ayzwa/3GC+Fdo6vLluBVY5JU+1ujV3eN/p+YCNd1llwhI1kZvJrC69M+njL376JqeoI1ITWeA9yMwQimTkbnxny//44pVHX/17t+okCCdiCiXP/KMv8jLXs8rSG93CV7Uf6EmmAK9StWpzGHDvsM1j5GIG4VAwSwj8u5eMgbBKPNA1vKWoTqr7qhOW2XuDXfqWzQUZ837BexUF7cpBbGmu3EbOZFSyAPFBhuQfJzBV2u7Yyxo63XnCwPn22PhXo/qOMDdzBUrjho9pLVosxZFUxGoMiKlGHCKT1bLNM2QUWUBny2YJggqqzCmHOJAuyiSW06+Syx0naBHII3O3kriGWz7MEM+Cmbye6vf/85EPv/88m5c4q+dxA0bttv721pNwVjpbKVyR3+iBwxeebwJWfBHPpp/KWZc8dN0mR++88VG/3OSIne745yOd8XdN3nVey1po5Hhytqggh4mZSRZ1x0gSKVlvGUwKIAoTz7Hr/njVjX+++qZrr7nluj/dct0fb7n+T7eCN/w5xusZ/3zLdX+68S9/euXF59lq2kjTGSv/3KqpqDwXRdHep98CCy5EUAo2uGb1snzn7TcuOOuM7TbbePnFFlx03lFLzD966Qljl1xgzJLjRy8236hlFhy/2bprHXfEoX998jG+mEX7yCnQx4wbN2DQYHeLjXCfPYtfkrsJLTbcNWr0mKFDhxaFjDxUXRZCk2HhvRyXzFLTrnvutcseezW1tEiyuaAAGhPdjh+9Ms/4YP2vC/VBQ4be9dCjY8bzZzd6CPJNmM46e/VfCf8vu/9jiSsSAouituY665113iUDh43OHjlE6liwJdx8EP+FJhUpiobnnMZQdzNWoDlHyFnCaKCoEDdomZm4IYyA4d4AZOKYpd322NNSqCgAQh1zOl958cWLfn/OHrvsuNG6a6+24nIrL73USksv+YsVl9tk3bX332v3q6+47M3XX+/u7gwLWTXKUrHZVlt390QPaT+OUlFYJTSrpobe//f4P4QsMI08s3Mn5ZJ/9MGDU5lSpmopxcmloorPKSdiJGKGsQxGpSuZ4VCAK4iy0peqRuCpkoatuAGj++wjKqhCmDGr2lZycRZOcfgJfsRBlozdZ1bvmmWsosmCxle1DJol2FgyQpusQchjxcLCD7MqqJhmsojCRA1mhsilDFGxeVJYBQ0nSEFTsiTYrtAPgssSC4+c3E2FIYNbSHKlQtXXBwQurBG4eRSHEa8el5niHzxZdF5JJtCMSUpuLByOm5mSmQnHbjIzqEBL8KsEKmbFbiii4tj2IioNOwMijBlbVlRG7AGu3Cy3Dv7T3c9N7+xxgyEGPkn/Yql5T9x7nbUWaZu3z8zhTbOGptnDm2bM1z5zqxWHX3rCzmOG9DNChLp6XG99NvndL2d4UYMXZyx8yKqjVUsaPSCN69c9vr1j/n6dCw7qXmFM2mP9+a46YZuVFxmZPOPDKEfqlp5++fNJU7osDJ00fg7BAiz6DC76z2P9x1r/0dZ3ZGof6i19s9Wo18XZc7oEJjqIU8lMxqgqBILeNV6TGlDFjd1RaKZUqVbmMJ1OKQkrAUw2ZtjAM4/75ZhhTZb5Bc+FzKLryGS8euSWJLgwiwjobmywXGgkE0dDJmgYuXvZRQYdtOcG844arGhCJOkeRuKLrXzE4D4Lxn+kx4seCxNZIRV0svApwMvOdVdfrM5nlrAkjEgiyBzmR+y36dILDyjKTjlpGPogtjILT/GLYjJBx0pKFuDJZYIbJigaK1TkueRH6o41Vxi79y/XGtS3jcOTPeNYpKxIXnhQZQXH/cdpMx7721szOmQWt0PN6muuvMASC41VHMmcZVmGrdF0Sxuus9QAXOYedtFSrWjq11nv+/0Un9XTXmsfkoomCT2VPXM2Wm+5oYP6EIFQlQMlkwVaiinjgXcZt6SrWHq5lbbcdrum5nhFRSzqIXqVAUNZljnnKCI7Ixw5WtXlMbIItDRwwOADDzyEz/coJBVmRf8hw7f75S7zjB1ngCzUkFVTNWCeI0kWuAqE+j+wuaV14822XGGlX3T38Lcmr4sXpvEgwlgiXY6TOSD1lOXBhx7S1NT89JNPTvry82QUjqZzUEXNrsk/Tn7zlVfef/O19996FfzgzVfef+OV9998+f03X/ngrVc/gP/6a++8/sqnH7zXUnO6yZ/XHn7wvtdeeakwjRk377Y7/erq62+cd+HFO3u8zFZmlZmuOM6jROcjFMsY6/Bplpczpk9derFFVlpisbVXXn6X7be58JyzPnrvvZbWVvKX0xOSF+DOCtsog7qyO113952323bVZRZbbZnFV11m0ZWXWWS9NX/x1VdfZM91NqZSCTM5HkA+w4Fm+babb+IzzUKLLLTRJpuQpInsqN/QqTAOKwRrECFJmMfZsFiHN6dtUqwEOEsm1GK/zELDAoLZWCIgXRCikiOyyj6qlMyqhcSWyPgHJc4J0l6J5WRA8Jm4IWJklXqVWcoiS7ExKaVwYqmwAoVkSgbLTDKzomByEkPfTDwKDCBrRmMlU4DBIV3IjGeFAZzYCVOyXp2EBix3dsyDyApwN542CimKjituVlSNKeM/paTCckt6ZeL7b3z9EY9CSWYRvF9qPnmHQ45Yd/cV+k8YXxsyj/Uf7f3ns0GrDJxw4jb7b7PCes3i3SKAkNN75tz89wfqbYWMYDh3Jwk5ny3IVXx1yWgJ2o37Inc053tee+qtrz/mhJJUaMc55GrYxgecnpx7yt5vXE7lHm5wK2JIMgqqKlFVszg5UExEiSctMty6wsIVYEDMXEZQhS7K7uaomadWNW232sa7rbXtkIKHLY3DwIyCIFFRuDGr4pILRMQ0HvlmdFghYGWEVUSXrO5Fpy0yYP4jdjxg0ZETKiMDZKZsKy++3MDmfoXYhIS+lCViIHOxsQw9vsToCfONHGNso3jKmwimWBDLnT/AkTtMs2zRanrsEd4jWyNdF1LHK+/uMJOH3GSJy9+d9OFf33quw7rRsqw2a9lx7S1H9RtefWZ22uo547ae85A+Q9ZaYpU+1hyPEnZVVrYUU1PnpK4pc/hbSEtSkitzOw6o9dvsFxsXJRUpKxkgMZhn8/g0SWCyEADXmX5Gm0vBBTNp/z8jPhzonZxZUZoTK3ENHjqcn+cGDh0qFeHW8eTKziXyyvWerjmzZkydNnXytKk/zpwxpbtztvPMVjYRNyzmXtav/4Ctt91+vvkXkhL1eNkza+b0Ml7VHEoRa4EFFhg4eIibJSLDCDSTZycjQZgleJGCFWWunXDyqQcfduTI0fOIx0ccLYSKrBgqpC4X6tVi7lBralp0iSX/ctMtExZe3LMVRSoKK5IsGSBLcxX/X2Yjm1SQa1Frnmfc+N322uf3l1wxctz8OTYnbFGQTEA1MP8Hk2Go0ODi5QwZG18l70Y5JqNgGk0b2W+HaUBDySpH8NB3DpzUU/e99z9ouRVWTkW1TViFDltQle/4gsCO0fETXYEMHSb4UBAqitqqv1jjV7/eq6ekoVZYpOkyqyp1Rw1lEKKB0HPRIYKZUtHW1j502PAFFlp4wsILldl5K0VENQZVftyquphgE4isKmTFMy4iQYU7Cb5XNpIaMdCXgm4sY888SMxS1REIGRxQ3HqqpGHRK0XeQDUgzfXfyyUeiAwHDQIahDaDB4l/A+BwyIwzDNXbdx4Z2WDJQo968QoFmxFmgyAnd3Me6lh6w0FFceCRGfR/mNbgYO9ckuXYUz6bopVJgCAwGT3kZkjpH0LWdFqKphJLcnYWJqrQbpVQARh6ZdabdfDQriYGC7kYq5kqVF0xhAGh8Ie+CZ+RfEOPUA2OmIKFB0lmCnAi1trf/GzWo//6oKOHQoLJ1WRabsFRx+654cl7r3PI9ssdsM1SR+688lkHbXr4busM69da7Ra+ot3fTZvz8HMfzegunNxIoqoRD5CMA/q07r/jOucetOnvD9rg3APXP//gjc787Ya7bbLcmMF9kiMXaTBn6YV3Jt737MeppS9LkurNDxULHZOsKOLrHKPVxGMiJUNikqwamOAkdlQmdgd+NERKZsYiGh0zm2XEY8pMJB2nV6hGL2JWaApBZBJlMCMWlS210DxH7LfRMosMKXKXeL3QbgEmPmkQhqVJvWgykMFgmUyKTFTvbiu6Nllz/qP222Lh+UaIYxG+TeKlg33EYjFoYJ/VV16gtebkYgFK1ItAcIxQXnaPHztoleUXzGU2lBSGKQa5iaznGdH/2AO33Gy9hQa0e653m8miUJcZsRSDMSYZwIBAQIIB4rGY249cdnf0a+reav1F99l13VHDByo7nXNHu0o9CKsWMbpZqqV/vPj+m+9/U2tqxbl5Oc/w1k3XXaZPW3PGUkkucpTi1jPTwhNGbbj2kq21Uo61WdFktRYrmo1v7zS28lrWOxZfaPhOW69WeZAJO3fexVVgBhdeg2sQeDdraut34GFHb7HN9v36DVDcdGj1ojvqRGMO7OX+r8nMUrHQwoueeNoZm2yxNY94bMx5vZisWG3tDQ456vgJCy1WebL/Zfr/sPxvNd7Hg361x2/2PegwNbWUPEjMcu51ZuRPdvyEp6pHUk/pq6y+5vobbfzmm28+8ejDRSplMrOfAz377DNbbbHZ9lttscNWW+y49ZY7bL3ljttstePW0JvvuNXmO/0A2WcAABAASURBVIFbb/HLbbY84ajD21uKwqzfgP78qWyzrbb97aFHnnPhZaefe8G8CyzSXcchhyhl8TmMfFSWueT57cp1r5eq3iXWp9/ARRZbYtnlVlh++eVXXXW1ddZdb4utt959r30OP+6ENdbboMxSlX92anCPSTk3alNLW9uCiyy6zHIrLbP8Cssut/yyyy+/3AorLAsuv8Iyy6+05DLLt7b3JWIZ+vQba24zB4qkLz796L67767Vmvfe74DBw0YgNmNDnFveCSmDUIC54jA4E0SoBNcRW+i5kyK5RW/lhiwUMRdSI1FHlSWThyQu/IRmEmAmjiVEYHgPk1AIn1gERgqoSWYSgRiEOBojOOaJUS5OMNaI8IMNI8wqSiQQycgMVTBcOFLSAXFGnBz8Sh4s3LhwVyXeO2AAG1uTMXrY0TUmNmYup0oLEZqGmuMR56jDYEFiDtt4gpA2UzL+WDG96Lj7pcc/n/ZNaZWmuMfU7sX2K2x4zi+PPGWz/Y9abzfw1K1+e9ovD1l38ZXaiiaihqqpw+tPvPX82z9+Vm/BVTIeO4RCFmFJLLNXTjhcBsWZdP6Y/cWc7+98+YlJMyfn3oQxUDxEYjbOTM48DnPpfDeLT8E8UEJKYe4mgYq+QxsAO3i4cpei544z682DGQOaqF6Awe6galDwsHHqyd6vaP/1etvvs/4u87WPTl3ZSM5kvUCn6HYoirBOAMcosfAojN2CNEeb/ZZ1+6DagE2XXu+UvY5dZt4lrY6tGcEk0rSsCSPHb7nqRrWuhIlSMiNtM5Oh4Eo9eZDad9/8l81ekCtMryQQMUdkgnuGEKNbRkuWpdLjj0zwfe5FZu6GvRnmFdrscvbjr/zts8kTVYOhWk7Lj19qnSV/0WxNirahLuwzRzCrSbW1l1xtrUVWbqknyzgx3EVeNXM+JJO7xGOstafYca2tlpl/CVqDE/TwVAkbsY3MLQ4I1crwbmg1EMob1NwRzlzy/3Umm6oRjYgEVdG03sab/fagw8bNO7/iO6n8f7nv9Um/eqlqIqlq7h2KUfOM3e/AQ3bcZfem1jacF2b17i5+mco8doyTLDMbP2GB/gMGhn+2vopThUKiioCVOXtmMkixOcUxJ5585u/PW2f99fs0/pcJG3q9Qf+/JxswaPDW2+14/iVXLL/y6vXSKdcUpzx8su0WFQv3gVLvqAqQ/QfNilQ09xs4cJnllt9tj73OvuCiE844Z+joebOjE0lYgBi4ysbTX4hAnJF+BDKUKwZzVVClYZxeYYgXi9kkdt4wq9CCMmNMFiqGTuXMmlrP+P0F6224SXuffpLp/wD0g0sPY0IFNyYGyaTUp++ATbfc+ryLr1DR6pUuY2pqXmOtdVZfaz3wF2uv94s111ltjbVXBVdfa9VfrLnq6muxXH2tdddeb8ONNttiq+122GX3Pfc96NAjjz/pjHPOv+zqvxxw2JE9UX7lTr1AAng2M5mZFAU3JAhkUrTADaJXEmz9/4LwPrcbMjdhbHSFO0NBM4RKHKOQIpGhh2KwBPwcCdoApgZWdg0yRkQ/ZwMBwg0mkxRExfpvQgFw52IVMhYVgbARAhNosEE0mKhVHOfh2MshbwzdDAHosYbm9FJW78mCXyG3S4gFG1TjaeI85fCAgsOkRaBgMDkaMBFVEgXtsVUyI4Y7714zKDQCvRpc1Rw0ImeZycYU2yhTlYEigty8WvECMjdEcMxTrWwe9NBzn/3r7a96eIyYITAXz8M+TWnRscPWXn7+DVddcI1l5hs/ckBLssJkFbg0u66bHn393YkdcWQlJJGuAIRCi1tncP+2UYP6jBzQNqx/y6D2WkuK92fcb2hFVvyQp+ff/eqKu16elds8kqaCMFc1VJqGrkfqiEg+O4aQcIWIalnk3pUqFsrwDGmvG/ywAFkjwUGKBatA/QfwjYeQ4ZeJhqIM152+Gl+3Dt1r/W02WqzZZud6/EnaZBWkxswoU4Umm4sy8Rmge+aEedoO/PWaB+y+wejh/cvS+eoBOgeFK95REYfmNxXFWqssuvySo1Xv9FySgAGpsFTg2sueQf1shy1WHtS/nfSwMcoLzGZS5pO7cs6D+7buudNaB+2+5jKLDFZ9ppfVNy4zS1yNMQk6kXlFWIMoLDgyfNQ7rT5zxSWGH7HvhrtuvfrQAX1yJlFTnCRaLDltJ6R+hmQ28ZvJd9z3j3i+l11e76h3Tdlqo2UXnG9EZWlhQcZsI9sAUea+La1bbrTSOqstnLxDXhJY1YV389Kdn6pnLbHIsAP22nhAe4scGyHiIoNYBQN3DYljaqJAaijmW2DhY08+/awLLtlo0y369h8oJcn0H2jQJkuWilT8jLVaU8sCExbe/8CDL7zs8p1/vUdPTnwaUfhWQtdSU2v75tv+8tyLr9zngEPnHT8h8TlSPzu3KgIjCMkIQoAQxoN+3Q02PfuCyw49+sT+g4ZzAGiiKCZzxGgSo6jLHWWXBJvf6lta++259z7zLzDhj3+4+q3XXm2uIXEzGz5y5Lzj5x8zdtzgocMGDx0ydOjQwUOGDo5xCMvBQ4YMGTpsyLBhQ4cNHz585MBBg11GBWPnne+Qo4497ZwLDzv25NXWXr+5rW/2uLUl51nHc8gc0oJZNA0ZNnzwsGGuQjKTLbXsirxdzr/8yvMuufKciy8/6/xLTj/nwhNOP/vXv9lv2MgxQ4aPXGKpZcaNn8ABIPO+/fuPGTt2xIhRZYlHjR477sjjT77gsqvOv/Sq8y698jzGS676/aVXnXdJ4NkXXjbfAvwYHMFLSammVJR1MvHZ06fefN1fPv7owz1+s896G2/SFT8MJTcSIiUZyhJUEM4sADpCQgWywk+DqmjRcTWgd+2oe4PmbDZEP48Nfiwd0NwlJjKgErBtGCIGoZXNQsjJCDVcR4SMCpnEyNKNY4NxCOl8LCCDwRUZsgdB4SeMLGi8hgQWdyKhnFVMzs1ngAjIlCyUxegQcXGCK3TLBEIQK3zEhAqURUribnL2gBRZB8FGYm9YGADflXta9P7MiVc9fevXs36qY0J6IhHVXMNa+y83dpF1Fl5pnYVXWHL0hEEtfQv8VXXhqVv5xS/efvDNv3X3MW9OqhVx8vBrkWuqCAVpkswwI3Zgp3X/e+KbT7z73Iz6nNKrO0UhdXdD14OTnfvJS+MxEwTNllVvHCh8sCtRJZPDD5QUxnLhJCiTBcvMBFaalObchpIwrgJkWIgijNe9r7XtuOpmp/3qiM2XXq9PT4t1ObuWXHyH8Uxawthytkx/DDN5KV4H8TDN6KjuqbNs7aqtOn75I7f57aHb7r/g4PlqZSpSKswwAEV67kVdv9pwu+1W3rhljqU62SA1qo/2d9YH1tsO3mrP5edfEvcEBxXPT2YcpPiPREsZ33xKNWjhoUf8jUrd8h711MmVMALwiRmEPKKwKUr+6kdvPfnvZ3r4+0yPpx4NKvptsdIGYwaO8rqcWtzlTt8bs2cf2WfY3hvvutESa9bmuJVeWFFYLWpSQSvUVfb31r023GWXdbevlYVJycwiZAhj5ordJwW2RkLoqgCtBjZO8f9JI/p/QvSTLPU0Hkky/kmpzNan/9Bd99zvwsv+sP9Bhy2y6JJNza3w5YnROKOBCbC4Z02CbxIYRK3Wwp+P9jngoEuu/ONeBxw6YMgIj6zN3ed0zJk2bRploGpubW1t4+Yd39zax519cIerADQhjS6iyn7jOepFbp5Td6mNN9/63AsvOev8CzbZfMt+AwbKUI/QEsRcjDfCqG133PnCS6866Yyzl1puZVk8t38Ogx7um5pa55+w8BJLLrv4kssstsQyiy259GINYomlF1tiqcWWWHqppZdfcZVfrL/RZnyjOO7kky+54g/nX3LliaedudZ6m6SizXO4MVIjNEmCUs4aOHjYmLHjx4ybf8y48WPnZZxvwOCh5c8VeeixitkT9SpOjHN2wk0IBeDaKoBuICs0Y6zKLd0mLLLkKWeed8KpZ/KNqKm5XbEXlSwMLIb/cZkMRCE1tbTxfenUM889+czzRs83IWcjbJb3MDW1n3X+RXxaOPuCS/n98eyLLuPtdu5FV5xzMa+5K8+96PJzLoa+gpfU735/8WnnXnjymRccc/Lv9jnoiE233XHRpZYvmtopBJRM5EPbLZ4BUawsgBrUCyx7KfFMILb+v+G/uT/TVjlpLE3J2Es1tgEBQgHu5hZ01WFrKMNvIF1gCyIjdrHSaPCtAbhprP9L1GDE6OGsuqoTEMpOJBD14IfSfy6YjcX/EBG3l1u5CyexjvjOY4aTIfQrv8xWbZFMZtQLg+xNdI27kDcm9wZNsIQUi8jKkXEJiNrRlYx/nDWICGluFl6q5503mJnJIl8uWBK+Q1ekF6yg3WJFJHg4iFX8Lh2+G8wQS5ltT0rmRHEmyQJSynyaKZp+7Gy96dG3X3x/UneOoAo3MZg4MiokIifCgYpGoDSzx/9w57+efuPHnqLdo7zICJkJMMAdLWivLPBQSdAIxHn46sh64sVPLr/r9e/mtHrRoopNyfQOUgF0MjR5MHov5Jy98sUQcbhk0C6LiO6JRZhWgYMOj5h4g4lzk7kSxw7vkoFGY8Q7i96gFsgeU4GFlGVW7BV7aWNHDNpzh9Uv+90u66w8ppanl90z+eAhz8lMQptAocbCBCur7OyZM2Vwa+deO6x0+lFbb7TmEu3NNUclPJoqKHFfLaNU+pPz8EF9+Uq27qoTeub8VHbNVtljuW65J9dnDu7bvffOa62x4sI1S2wrduGDSswSFVh0Ab8ma21Kv1h+wgkHbXH0fhvMP6q1Pnty7p6FH9TIzALogQxVyQKplI8xPWX3jLJzymLz9zv2wE2O3H/TlZcZ39JUKCMlOWIIs2o3pLCDz4qjm83so4++Wnm5RTZbZ4lN1lpk4zUX2mWrlTdbbzlzy842eNhHxpgIGzeDNXxwv312Xe+oAzebZ0Rz2Tm13j0j98wuu2bWO6a02KwtN1jqiP03X3DsMNE1I02FkSIN4S4YKZlAIZElIw0OQZIVQ4aP3nSrHS64/OrH/vb3i6+6eufd9lx2hZWHj5yntb1fKprMauhYqhVNLX37D5p//gXX32iTQ4865pa777r/kceOOfGUZVdctade3U9xYGSp8pwIkYrm1sWXX/mQY066/YFHb7zj3gMOO2rV1dcePmIenubCrZICuXUMs5bWPuPmW2CDjTc7/tSzbrv34fMvu2bDzbZt7dOfLqQkti5zAKiKyWlzhp9zjEE4dfNW1lIrrHTUCafMP2GRC86/aOb0GbWUiqL2u7PPeeiJJx968qmHK3zoiacefOLJBx9/8sEgnn7oyacffBJOjA888eQlV13dU6cz1trSNmqeeQcOHSXVpERByawwCNHS2KfYG4KnseMXvOnOe26+855BQ4dbMsTRqIUXW2DhxccvvOi4+RcaMWbeAYOHF00tPfVcZm282RbX33bHgYce3lPCH/Y/AAAQAElEQVT3Wq159732ffCxpw845LB6KeNAtrXPN2HhCYsuseCiSzBOWGSxCQsvuuDCi01YZPEFFl18gUUWbW3rYxZ5rLXeho88/cw5F17sKlKyF194/l//fG6HnX51yNHHKDVLRp7V4WcOmibJE2hxLmhlMhMHQU4V6IhlwowpVrFEYGaswhYRVCz1MyD7mYZADRMIE8eWECE3meJQyCxIk5LhKKMGNvQl459gM5EjO+zOC174cFwxIwRDzXFXMRzjZG6SUYTLzFKsBJhMfEp3eAYlglo4U/AhTARLKdhCYBXhAmIVTtnLCBCemUkmMkIOmgkpdkoxOFEKQbOwCvCNtpWdbfmlKe+f//CfPp/5fR2nZqiEg5hIViljZlUM2DhSt+VXJ71/0/MPfFlOLuOrdEqFWaJnhgaUyaReRzERXLhKLqMz0332XS89+vrXH3ZbWWaPAxdelaz6NkdjFY1F0+WBpqK3FnSkpIbvREEmgMgGpAbbUkq1VCRMDDFBUQlHVMya4+2Z/XO4Ge+5rGRmpTV703Jjljh2u4Mu2ufU9Sas2jI75Vll7szqCeQHxcSnuXo2sHTVpW43/gg2xzWj3q+zZf1F1rxgn9N+t9uxGyyx1uCm/gW/gKYqj0jMZEpmCXANLvocvNVeh2+174g8AFvnDdqJk7xw3/lO3+2ozZdfP9XNs0kUUI3Mbs3WNKplyNimoWOah49rHjFvy6h5W0aMA5tHztcycr72UfP3HzOgqZ+XbFYyWVxKqoBqs8NKX301cZWFl99kqbU2XnztjRZfa7e1tuOPWonvtU6rQxUtF4HNLBpmpeYbNM/ROx549t4nLjNsobY5qs3qKWaVaVbZp7tprYVXOWefk3ddd8d+qc0cA3rJDRyEXCYzS3LuYGTmksxa2vuecNoZJ5z6u+NOOeOok0458sSTDz/+pMOPPfGwY44/9JjjYzz6+MOOPu6QwGMPPfq4g48+9pBjjj30mOMOPfr4Q4887tCjjmM87Kjjjzj2hMOPOX7+CQsRsrpZqlhKZbbm1r7LrrT6IUefcOs9Dzz4xF8vuOzKPfb57brrb7T4kkuPGTd+6PBRAwYNGzCQX7VG8verhRZZfI2119l1933O+P2Fdz38+C33PHjYsaessNraOMlknq3Mmbfp7NmzJ0/+yXgBcmakwYOHjB033mW0LUbRc2qU0zMuWVTrsqgYHQtZdILDXRs1dvzWO+xyyVXXPPPPf998x10nnnbGbnvuvflW226y+Zbb7bTL4ceecMPtdz305DNnX3DJhpttNXjYqHBDG3EV/hQR2KtcIDrrwotuuvu+m+66/8a77rvxjvtvvvOBW+5+4JZ7Hrjt3gduv/eBW+++9/pbbrvsmj+deuY5e+174Lobbr7AwkvWWvqVJanITNxARSK1XNUUZ6Wz23nDPvTkXx9+8ulHn/rro08/A3HQ4Udmd0MJ3Sq8RGWwxKqqmTWdaCwhsjyboROPUFoT4mxp7tEICSyrDRs9butf/vrSP17/6DP/POP8i7fa/peLLr70wEHDai2tlppUJSgrUtHct9+gBSYsuunm25x61jlk9Ydrb9zml7sOHjFP6SlbI27kUmaNHjvf6HHjR827wDzzThgz34LzgOMXGjt+IV5zY+dfMDjzzj9izHxDR47pP2hEU1u/rFo9qywtZ/ogfmfcfudf7b3/gb/Z/8A999l/9332W2/jTVvb+8h4jlOrGZkTMKLF9ldkDAhiqi5aUM1zVauFNcZKLynRFsdfxWSIXUadeyUWxgFCQW5JBWx4MhyAQSaz4EYYixYHb+4VTMmsV1X/Eyqpm1XShm3sLE78fyr2rszQ/B8iIzV3NWx7tX6ePCikwgoyVEUBzveOEHHlnPFg1KWYnYOSKIeUXBwb1kIr7plsMGSYR68NtpsEQxgyW7VUA8wFilpCBzoefA09oY/UCIkMZOGIynDvxIYlYaIiWUzQRnvx5yalwkycXVfDjqkoyqLl61lNF9z83BOvfDajp/qBiySjcAU4A0bGxJnqKf3LybPOvfZvj776fXetPQt+fJcLdU8ooO6xgI8FIwgBW2aBLptT+ldT51x+x78uufP1b+a0OJ+fwgSJNcCxaKDF3pSRj0xCmkQ3mGXxj3osWQFtUX1KScjAZCkZl0wJdDNJhalmgBLPLrOKyWBCSzAVcemNK54k7Jt7dsvBTZoLbbViobEjTjl06+su+s3u2y0/fmStxaep56dUn27lbMtzUjkj1aemnsn9a7NXWWLY6UdufMsfDtxtu1VGDe1XJELgkIMDIXfncWzidLjhH0kkldAaPrjvCYds+ZeL9t1snYXmGeIDWzvmHWa/3Hypy8/ZZ8M1l2hpQkdRgUxmtIc2ZSUzXOHWBGFFoTSwb+v6v1jsj+fv9ecLf7PDpkvMO6Jo1nSyVX0Gf7ZK5SyrgzNF8j1TWzVj/PDazlss/cfz97jwtN3WWHGhgX2acU9LJKMfBEouAA4ZZ9rjHPQkmQD3jddd7sRDtzzhoI1OOHCDEw7emG+MLVFzdudpJuECfUbKxEjsmQp539bm9X+xxHWX/vb6yw449sCN9vzl6nvvsuZpx21/4x+OOvg3m4wZNpBqrRekykuhJDNFMh4DXJKjdFmCTm7JlMyKWvuAQfPMt/B2O+9x8VXXPPXsv9779MtPv/7u44lfv/vFF+9++tn7n3/22VeTwFffeeeu++7jBbbWuhsPHjG6aOlT5zGKwyjVjWorz0m5SI3PZAV/ERo6cuwv1tnwhNPOvP+Jp97+5IuPv/zmzY8++ddrbzzz7xefefHF5994662PPvvgy29efOvdG26/d9+DDuc3sD4DBqtWpKIgQzIHjYpkAQ5lUiyILCWn69yvcIrmDTbZ/K6HHrrtrrv69htAzdmtb//Bg4aNHDhk5IAhI/sHjuAb1KChLEfw2yrMAUNHDozlyP6DR7T3H9xdysNltC3eAOZSFcs4edkkApJBNJIbhNOZaoOHjxo0bISnwj2TIZbuKJuUyDBRgxlJIjKpqa29/6Bhrf0G5MpLa58Bg4ePbunTPzsMvKMiWQINc3Swpb0KMLhFYkch+gwYsNDiS80zbnypVNRqm26xxTPPv3jOhZe0tPchY5QKlAxSlQ8zAYTInKfwZ5k1aRprsgTdqdMZPUqkuDDJLri4KDPOOJX6b0BZQg2RNJdwWeRcyaJNRHMnaQ9CQIjx6MzY5hz6ygKdJqhaSsmwkVxxoSvDJgJ5APmSTOOOCR1HnMlZHj1HillRpYGUWsPGPUwcCfJg4DCmjEqGsErColIxHjtkXPF4ehakZwjcIeQ5DKAddTK1lIiGA1SsURG6ZSq72vJrMz4+6/6rXvr6/dnx/wfKRV1hgbLECXNqMwg+pM0sO5/99I0LHr/+ndlfdTWX8Scw/FFQ8lJ4JXI0qJTzfSEKDVfJFP9cAa78Uznjigev/b57ao+VOSkbfxbKKdELq4bSyd7xA5J8VoG5oSCLMeqYy7EUPqvLUlGzIsm401ItBVWQm1IldVXpmbLTazkQQpOnQm6KMpXKNMD6rj5++Uv3O/3+M244dpsD1xq/4jy1If27W1o7iubOorlDLXOsdXZqnV0b0N2+YL95t1lhk9/ve9oD59163t6n/mL8CoOKAU08WmS1JOoRgUzCO4MU0SzxBWZA6rPrmtvcevIfTtzhsK2X2nCHZTc7f6+TrjvuknUW+0VLbva62LwMeOxhZsh57ODRVx113mNn3/b4WTc/eubNj/7upsfOvOXhs295+JybHzj7pvvPvOG+c29cY7EVKosyLKTSLcqmVCo0UfdeW+xy/n4nX7jPyRfufeKF+5y09ya7tFkrHZFZin0ozfj7FO3ITs4puMltQNFvkyXXvv74Sx8896ZrjrzgkgPP+MvRFz943i2XHHjWLxZYsa+1JqHtjKpqFmVTeExZuA0JJxi3Sk3NBx565MFHHXfIUccdesyJhx970pHHnXrkCacddeLpR57EeNoxJ59+9ElnHHPKGcee8rujTj79GOgTzzj6xNOOPum0o085/eiTTj/q5NOOOun0I48/9agTTuWDNYmaCGuFnOBFTMqyoqW935CRCy+xwg67/obvLXfc/9DfX3zp9fc/fO+zrz78chL4/hcT3/zoMx7ydz38xLmXXvGrvQ5YfNlVBg0d3dzSJ9MMvvnL3EQDOWsdHfFdS1RZKKU0YuToeReYv8zZzAqrTqtCMzodhMuSgmAf4lNPoxmZHhg7KzM+5A8aOXa+9Tfakq+OF1/xh+tvu/36O+6+6i/XH3XiaetuuMXIMfO19R3IycyiFjwZnsE4Cc6SRNxVtPUd3HfQsD4Dh/UbNKLf4OF9Bw3rO3B4n4HD2waM6DNwJGNr/6HNfQZacx8C1p0votWHXsv8vhvnHa+iJFECHJ6epavf4GEDeRkNHTUAHMJ7Z1Rb3wF8miR3aW5HmEnDoxasPErHF3erURtalJ+ptvGQbijzyLHQNQWYGZqWilpzW58BQ8ctsOiv9tz3ij9d97d/v/zu5xM/nvT9e1989dann735yafvfPrlhxO/ff+Lr9mpP9982x77HbrAIku39BvsqdnZHmU6hK9kSpFG1WmPkKa4FUjLyAsSPfjouCTDzC2HSXJySUnG904ZPzseevRxZ11w8dkXXHTORZece+Fle+7z2z79BpGtDDthFQaQ7jJYagC70yAYzf7DZxmxEINSNcgFD0mD4Ag36Bg5MY5ahSLPyBS1cNiwlahUqMmUzExzwTj+5FQtf1atVnN1SNygraFlFeAFHUhGOVIYSQxc4VC94KgESo1REspBxyVMBIRng1/JGExm3CTS3EzNCnKXUDKXw3fP2bJMgFniXIpYirODU8ejycwtGQpQchywRgknBRcopRDFXhqAMWPYos1BMMPWY2A2V1BYmgUhA5SSmpuU2QuP3jtacsM2hxwpOYRDNOrcDlam1pk2+JLbXjnzL3/7+9sTP/9x+oyuererLtVNjB31/OOszve/nnL3Pz885Y/PPPfRrHrRL3scOXOLPFKaU9dXP878Epw888ufZn45eeZXk2dO/Cnwq59mffHjzE++m/HWFz/97a2v/3DfK4dd8MTDr0zubOrvqSaSUuWEwlPT5Jn1DyZNfW/S1PcnTXvvqykfTZzaUS9MhdChMcmZXQFUwdQ4PVQnz+FFjK4oT9mDnYSFUO7b3txUq0zNkrIkgys4bowMqsBwgzTjpfLjEQIJ/h3l5LlUvRw9ZMAe2/3ij7/f++bLD7709J1POnSTw/de99A91z5yn/XOOGLLq8/d46YrDj7r2B3WWmmxJlNZzzkr4wgPrmgaGTpbgV9iS8TUXMJY5Vyvjx8z7Mj9NvnLxQfc/IfDrz5/3713Xmdo/zYveQrn2NMojBwd40iZijxqoKZMJ/kME34Ik8t6iav9d133j+ftfdPlB17+u11PPXyTI/dd96A91j54j7WP2He9Yb2p4AAAEABJREFUU47Y7JLf7XL9pQdcec5ee+645riRQ1Svk64pTmpc5hKOqxY4FI2hRTjnxVxmJ/XkrnqZ691lT1cGOUBlnfSiqCSeyYZaMpwYiXNrFGaMMAR4VpnHjhq0yVrL7rbtartss9qaKy42mG96uSwwlvNYNzV2Vpi4qJRZuDAzCZcy/FiSAS6Lf1CCI6uX3tHlszrzzE4KqzW19e/Tf1jfQSPb+g9TU9+Ouk2fU06fnWd3lN11fo+20vlgY6rc4pUNY3TJzMi5MNXMaoUVKdWzOus+a045u7P0Wlu/QaNGjVtw3glLzLvAEiNGL9A+YESpltkdEbqb9FNR8EUrJTNua7xShaSy6qYjF4LMJ+EsgrnTMmYzC6Wsrp7c0e05gxkonZ5Zpvc4c/PesZDmIl+tQPhWmKUkwiXJDDolU5HM5DKJWSIfSBgSJBekuzBnYJRkApLhROGDS1akxGDBtAbBsbBK32FadceSpGfKlDLI9kmkQ3wDYpLxKC8Kk0leuFIOhWye6XBX6d2cHhGJWGYyQBVEgrIgYTmXGUs3OJTurPDHQjIzXAoJGcGEgCOJHTWmuJh6sSFqqAXLwpBu5WphzoQKxRkgLhTMyaZIBHVFurKEWvgIIZuJQjDQkmDRZXN8mhTLwiCSiSkZbRVgEn2CSIlYsgBWoCHAP5p0zgyRcCUpaB42kgyVSFS94ELGJvDJGALtxG60NfOR1yJJ4Q7CzNAzs0RMydCTqVIQHJKPMt3rnjtby/e6Jp7z2DV/fv6+V7758OtZk2f2cEJLvi/1qOxSObV71udTv33+y7cufuqmcx+/+itN6W7NbGoZ/clscmeqv/H9Ry9MfPtfk956ftI7L05878sZ3+WaLDqXveqZWakkGlWv+RddP1z+yHWvfPfeq9+9D77+7YffzvlJKWEwo+x6+7tPXv/m/de+ee+1b99//duPpuU5XlNOJlBRQVLlyGkZfXBzBBYHs4RWoaK9ud3QwR12khnVJymIFEYG5WRF6tyn5nRDOJaj59nU6WPahu2+5rZXHXLuA2ffeM+Z11933BWXHnbehQeec+FB515xxMXXn3zNPb+/+eZT/njKrkdtuPiag3Ifn5OtTIWlgh1OchnxDJASOZglIwKR2KskEu7WiJbBO6++5Tl7Hnv6rodvsvTa/dXuPWTiHkckPLhTXZhJprrn2TnP8nJmzjOzzyzLGXWbWWpW6bOyZmWfXapbBGgY8HARofBV5RC1Zhd/mut0qvOODIoPB7GNTqquBMqNFkjk7GbMXNxXUmnq0LDa4OXHLrnGhJWXG7P4EBuQurBJVoFLIEMmVYnnPKlXnGQhIQKpKWf19Kizu+zszt3dZXd37uwJ5JEYdN07ukvorq4S7GTs8c5uh9MJ0WOd9dxV96Dr3l3P9VLZjSxFpeYFpCtZnA4rEonwCO6ua05XnjqnPnVmz7RZPdNn12fOKWd15hlz6tNm98CcPqtnVmedp5PLwgpD0RBQVea49o6OzjlzOtra+7a19W3r03fc+AVGzzPOrCB0ZpOMwPKsxLpCB0zxj0EOzx0lnodidoNhbgW/mnX25Nld8f8muLO73tFT9tRzRh0FYkO4C1fwwibWYckBtgDWZkXB71ip8Tqi9FRYYbyloyM0hz0tTEUWHiXLShh6xoMM0lV4zNYA8k8yrzB74maiLaUnaJgildhDLheLKCVUoUE8cKxJF1qekaNkyjDN8Ioc7CXoMT9GFImXb2pqSkVhOVtX3Wd35o4eL9Xa0j6oT/8RfQeMaus3LNX6dtbTjDl5VkfuqXs9WoErE/8s6iWJap2oKIgUAFEwFzEwm8RIbvDNVJgVMVhSkkySGaPzUaezu5zTWZ/dlTtIpivOW+wI9wWdEpCUxZ5AxdYz/T8jHUBIv6wB0RRMg+0ERAZH3F9m8iA9JZEGAWI190IaqlF3zNx0jpbJ6DIMEyv1ghnLuXQv3xWEydwC1PAbESFjqqJDo4AmI7p0JkQeZMVEXiHeYh1HqOpDVRCZmGCHiQiiAA4DTMmyyVwmCZELYIAJEWgEgWGyaiXLgtVYWJCwiQJpBqkkNCuKrVAFoU9GVSG4cqwkq0BAEKp4krAMhBekYmddrU1Ngwa0ZufA45SddbrkDGIZx1kBmZXBLLkjVbemetvQV77sOf/2Vy+8/aU/PvT6rU+/e/ez7937jw/ueOa96x9/+4p7Xz77pheveei9z6fVyqZ2GelxhSMus/TVT/WL7nj1gttfueCOly/EyR2vXNSLL198xysX3vnKube8evp1L51900sPvPjDlLKvmvuIc0vbw14WZWS+ev39jWln3/jymTe89LsbXjzzxpfOufGVKR3JU0FfrbpImToxYoQOQzZHxj+WTguQmbEGISs05fp8owfWcGGeQtjbeQuxAVVHDQ9klHFCLNy6R8ucFjnM7PGNIsNzPubmXGaV5cD2pkXGj159hYU3WWvxzddZcuM1l1hl2QXnn2dYe5PleomOOy6rOBFLLstsb9AIiNgQocUxbdAhRiDsCJHrhddFCr1PCzI39NxDDTfck1kOR8LIXSjEiLkA1nIL80y2/duaFxo7ctVlFuJPSZuuveSm6yy5/i8WX3npBSeMHdm/jYyjKMObGV1KJiKZBIYbI0AmljtsHseaC+7imOUqPIMcRQ+hU4KMoxYWFcMAhQ5Og0xuYk3HY1SOBJxvs3FO2SmZBYaSAlgypZgIGt49ZvaEoHgIQmHBFZaVVEBkEhedsDLHSBC+t5bZ6xmOshtYUh4YPuFQVFBVKVXO4cgYiE8OMSZZ/DPng45jgpN4x2RP2VKWMUpmBU9sLNT7UZxksbBwzOU4AmPDSAEqBC7PXN47hhpPS3EehX6gKjVPjkym2HbOQiykGK0BssgxlEMTl7Isyci0UpPjx1jjB1RlKieC/gMuq5wyI3GPrKI7MN1VJaVQwQ5Dg+QUeQVSMFEitBPLreLwRq7q65V6KMQQ8Su76gSEKhwyhBKZo4Zz6efBodwqn5WWQ0JUHHwzg7GluGENugLgVuHCPNaVuCKiOxWBogk9MYoBNDezisaRRM8ZTAqmAlzGPyhXAeGSWcVJyRo0cwQ2dpMeRViUaFEW3uiPxdKEDDU3AQw/90rCn0yhFpoSJJoKaMxmFou4zCC5YqT/xDBskVSmyTWwz8DW1MLnlMrUQ2jCo4X/IMggGAYgDJKU2Rv2iKdSV7N/W8y49Z0nznj8mkueueXPL9x766uP3vn6U7e/9tSNLz1y9XN3n/+3G858/I+PfvXCjLZ6T1M9Y5mzl3za5VbLHbX6tf+6+5SHLz35wUtPvv+S0+6//KG3/162yuldkUTPCEtMmk0/TD0t/uzEV8988IrTH7j8tAcuO/OBKx5751lrTST52bTvLnr02jPuv+KMB8HLz374ivemfFry4xr9Fl4SF11mNPGPewJ0QKRE20trLdoGtPePJefZ0DFVYDROKEaH5k4h8Bi440BcNJT5RGXOV5FOb+1pHtkydNHhE1Yct/RqC6yw8nzLLj16kfkHjB2ofk1dNXW69RDVLOwankgLNJmZBDKw6yBBBTg3nTulllJP9i73rmx1kSw7ksX9nHNGAeRBxEjeeIYge6ED8vjOTsJ0s+JEnCqU3MySRJsilFGRwpjiUcRTjBYimclYBe1BsTCOS2SGk4zrXuxlMpnXTaRaCn+hjzHuMYkFl5KcKXsIGpcTNHKnFlV0eCWQRUz0I1uW5IzPVDFDxEvDkkmIHC1B4hQODGgwWIRTLxCD0L18JvQ4dyg5FDrxp6rk4qGZykgEicwKS6lIDFYUoZcYKFTk0nAouYYMG7Xnfr898rgTjziOP8SdtNOvdm9uaUMFC/TxKWHmCt2walAsKzRYBHQ2eK6AGSYbmNFgwpcnqTDxD/14wgs6+MSXgpZYivzNpASYoCLZBGGWqEIxwocTS1ZwRMe5einaIcVSSqQkwIxBMnw5YpOxUFQD5R4ZkKRzbiEjd4kkG3wqq2jmXknDmJisE5r4gYILIeGxQmNzSI9wikzpo8yEVXgrs5WuXmyYYYgO352MPTMLVVXgsEkHtFizcWBQBI3bKMydMO4wwjkEqdN5iNALhYir+HEQBQ5JkZ1fhugOSwqj6oz/3NA2nJnMrLGsRlxX8/8xmIViQ8ECQod4DU61mEuay6p/cNFgCcPJj3w9JPClqqfIgo+w4s2lfy4JrmPCBKLlIjRSEKKX5w5BcbiHYAWBwlysTPCMBmPVS0ShydJDymwxGwT8QDRwRLfoG0lWEkwrH7BcgiWAWJEJOpGnYwGHx5UjC6T1oRnOGiw8Zw/rMGm4YgwkeuZwNlQxwhEjThyJqlPt5tbgwe5lNUxZmFqam0YPH9hSYJAjVScdhX4Y2c9ZOW5Io8LshFR3apnp/d6aVD700g83PPnpnx/95M+Pfnzt45/c/vev/vb2jK+mWdnUl69Dch7rHg4jvPDqVszsKd76suONrzpf/7L79S87X/uy+9Uvu175ovOVLzv/P5T9B6DtWVXmi37fXHufU1Wgtnr1tdo+BWwlUwVtggJKW7EIFUgFGBABCwFFbYmSzOG2tnqfoZVulZYk2AZUlChBsQUjNiqtgmKDSCoKKp1z9prj/b4x19rngL5wZ43/nCN8I8wx5/qvvfeR7j96x01/9ven3vbe7XtvPHHm4OPq4II5Rlwrk7mZWZVAm4NrT/kfPjTfea3e+WH9w7V690dqO05gSjqL4mFsJjHyaWHZE1r3UJUAZ4Ex+u2ZG7/gDp9ppDSDa7exLXs96ayQZGXUfkJ0Oq6auKpYlY0HgACpEq+K9s2t5rbyU8REogIRrkhVWvGrDCEkjIrAM3sniUCalQeIJK8hhSOEYmS3qUISnMTLk6m3KRJUASo4vpucRcgdRtRp0gmUNK0ZDddvffFO9pYf2IcT9yDvYo7HQ/gsz2ETq6wM4yyeFidcKwDGmKdrWAw14Qg/pyYRp9BAeEHNSATnIfjII3JTAtmHPVZsmzVhC4QyLNthROVZY2W10VYN2E61g8VKu6PNg9hUAh0PlK5MmcOwnWKgWgQuagTOkMbIExnEkG36po0EuxnwZmZ7G4dnCx4js7HTN+DqQS7ezmGJEwM+4vBgiU35u/4gkywYtTJGS5DIhrVEqDYhgAlFozA5ITU4DnmiTbTdTcOYthZH1BamuTKzVfogSkIuMeJGQMppgUmETi7MFqay9zkkbGIsuFIckUGiC4hoFUVrIvBEH2Bc6W2Qhi+3O+IxjV2ibJ4KAEB0oQHBtxKdVX32+03YKAnXaUHPndxaZNJh3TENIlI3gjhEigqXwN1YkqbyWS0WOhgnxoQXWB5iUEegRMaY7pcEJ5DFjwd8OODYTpsm6ogsbCBccR4iGLkKbOGdcBGFV1fYZrQCoeoDAQY0lCDKsC2HUfkTDj/uMz/p32irICqzY+N+p2KZQ7A9WslPckTDMRUV5UzOb54Z26Oi+j8AABAASURBVFPn613jw69771te9Jevfs4f/+pP//Ev/cwf//LP/dlLf/lvX//mD73tAydvPHWezmwAl7hmc+u55T9o6+31m9PXHNz4wYObrjm44UMHN1x/cMYHw5uNNszDfHQgkx+q6Xn6YPve7YfeM69592S+9lrfqEPXxqfGfN/88D/Na/9pe+0/bj/0T2euuVH5t2RLtnn2tHGGhhhuA7z5peVWn3qLCzYni4ElneApWaFSZWVioTOAoHSUBe0sdpd+T4R1SbgOZX7y2mw1tj6Y3kwflA/V3bRsQpE6TP+LQqdIa0Vcuss9aAjpiFwlbMwQjGlkiT/rBEJSCtDuJqMBSpAErKw8tdM63USWnKGhvC3X+YI3ajEKvCVKiLIY1EQ/2sztE4MqohE42mMRr5saV3gQSZ7QsYm/w8MzG4vJGqtFAWIgkKSEMWueZCQB4eBwBUVBWqHhbKUEp5+ykawBmrfiQJYlcRRDGTawWlFmFDypuphgVQ4cjgUKEg13EMHxxd0bjx4sALwZWHApMJToCt/xEtXWp37aZzz8kVc/+nFP+PrHPeGR3/CNX3jxPTimtWGwluOA51rcsrCw66Y2Vc3JbSAuROurajbGbM7CCT3tACNhqYy4ax8qmOZBYzQustFm6uKJ1CKK1mtY1m6kySUzpJ3SMLXiD1j0aJaCrSuDRB06xZE8dti2Zm0IEwr8YKh4fy7Ao+DJ/WP5KAJeouCOLhHYPFzrDaXYMCM3gMMKj5K9jMYJnNT9t4Sk3gIlhCnaWs2vCR3m5kHXTqTMok6AEAIH2tvh8OkTQMKOFMTKPlB3EMDOGbEmkjsaUwSWJmy9xhNmmY6RajVKN+OuVjQBlfIEYGWghAGB0KWwQpTVuDKDqprQfxTF1D9ZijRU76pJMDG6FVl5tKzqUQ1Yc5fSyJVrAOxEjTlr5abOfeSq9rXSWCIWpztJvHNZVhSig3zCi3ffVKoC4BWEsi07VhGFl6OVtISenFJ4k7w0TfDCSHmlQuCyqGSBM3CUmbMQiBh0o1gSAoNqvQgQIb6q9Fn/+hM+5RNO8CZGHkUgMsCKCKRhIbKpnI9mKtkWJzdJx+KtD7fj/NPjZjfqghvq/FO6YHtw89qcP71RWQTbUTUvG3KuMF8l41Cjv1D4shyHtTksn5wDOizxXZO6J393IB9b62gV70wJTgl8MWlTfPl4lMekGVXZaqlStFks4aSwsSiDWNwMAUeKQ6GBRYm0/ZSPP7zDv/20IW0Gr0jh6gzBSZnA0Wll8MWNiytykU62uBppFPriafdauVT58LrQxXlLC2cxekK71jgLU/HeRJmoxSZNjElAHiKQrMokg5naEteyOCaz8ADkoKPoC+bmimV0cpLCtNLsFB0OklBayWh7kLA8NDembg8LmMgqGJDx4Otw2JKGbM+4FoywIUhuDU6CsVEbXVYUgs2T5nFe1NTBh+hgDYsx2ZGADTyz8Xh6pg4JdTCVyTUlipFIvbHG6GTKKHxZKQsoM7zait7ivwTFj7zVjgAKnA0j2alh8JGkwNaApQIqBGGJmaSSpvnRsDhEohNbgpdmA2yQwg1cGQZY2MQ0GOrt+gsjtwkTmNCOk4KUKJJyaYUqEQm+AhkciCJvibxhUGEMocllEwGpDSwwMeAW4QqDmY8aqQidRGLl8Ta5YsdtLjPOaUsAsFVtrYDFr7SUAIuBxMumQgdFlyd4dN3VyDk/IJ6abN8ilHhPFvoiY6Ec+LAZRLLahqfIOO+fsrEiDW3UBeCiHobDmrllJps0NqoSk9ZEDARIjCqmRWisFb68VMzh8rAVoMDXFuEn//6T2JwtRrbQrzIMIRKzQ0x0U43CVSIS+yz4GuwuTuoTHzUwkheT2AatIESAQmlP532LkebN/d4RTYh8dABb/GebSGKsOmEgKzY6zZI4kcsDXyovSW7NuJnOv8utLhynkcTgM5coSDQbtDN28K5emNIy9hS2+Hfh4je17ZGOTh9uT503rz9x9OHNqY+cOHXDiaNTJ7anD/hl7OhonpnzqOaW5H0Z6MA0mykdEULbCbkmeyLpZuMxxCd/I22c/yLKw+bfhTdju/EM48pvZd5sDjYHB9ps6mAzD7zll7oD1YG1cYnabbFt2DIj6cVaHllsEVxD19eX3uHisR1id5Qhkw0iAPs2Pe4YTHMSE1fq47By2KrRKSa7g0GrtIdAGvagDnlYB+av66OMkkmFEk+ZQSdwlEQIGDTw/OBgYwbvkXXaVJaMM6JIB3U5MvsKoSAYcRJAosmY2pucRSjygvEglKLixSoqrcg8s4xo80kERo3miSZ6dpbgRdzJw7axClaobMyp3zuoTcE1MRVIymhgZ7bIYI+BUe0MA1lEc2kIItUkFOqiQJkqivjqUeYcCpanX2WJgtV4iz94Emc6OhjxAZBSSS4BYRFEPBtjSgOHtYa4ChNjddoRFzA4EXhWwHiBVBUuIq+KhKQMDA6JwFTaQXDR0ZZ/g/TprXLFS3wAhA2oCJVcshuvyiaFsdglq2TytEACFe1F5VmW6Q82dFHWbkwV3lueSoTUGV4MWoFPEcM92BpryZYWDTczs1YRvGy3kVwwYpQao5g4OTOiEOvk7oGiUGZedCDZI3GooHkiqse2GCJUKJmihUfFnI6gFOGKSERGSRhaAY+VWbIm21FGVoAqdNwZY8suI6MS3kGxzB1PWyggXdo2ixkrMxVigPi8s+cWiSaY3anBSny70aPSLAI6flu41Fx0WUpW7SLiSlkpkYDVwfAoQPHLgz5LP7215noC2etHTe4gqMpUMbgyNuF4ZCQZrtL57A0e5DHxpzIKojb2SA3H+h1jB4/NDkPUvYG2ExglRoLDEGdaXgCPVjqzO/e5vmgaFisMIbBaqHk9JDJKtaz1RhXSmJp5dUkgOE/mUWyYsid7llSGSecRjfuQcEgSPhLUVsUKTth5OK0pnHbltTIyDsQUowhCILWJU6NQxzRRYFLGtgopx60Uuxl5s9zq0z/5cz794zZ1mniUPqWpmnMOTbKJOELkwuUNMGuLoNoCUAIB54eKkjyNwlVcPybHQCCxqvcyi88+LvNIDICEBRxlzcDiD0aU7QRDDlsuTzXMXRsxyIcHIiQEErKQGR/J1F00VAzAmSdrYSgEuWcVLavF4twG1qMb7nvPW5/MWbHlYtApbGFYQiMaJ7MIRRAxEmgSMs3gIMPhEqIqUX002ZWyWaqhIgk7KQkBE1JKI1QpG0E/y2WTayYMVQHHy9meNUsAceK+leiSepgC8FMJa3G9JdESwhBLmmbIbWXhEg6gHAiJpX7FY4ODPKeOO0kZytdtVk2smtuVB2dFG2gCR4CnZmAVi5i32WJPqjkxRobDVMSpWqrZvzqiIYrFPRRw/Nl9JWnl5yIVpXcRgw2SgQ0WwKIzZYt4SPYGpYhlg0kxAGx4dNKYnkUlICQqm1zsKiQXW8MyNSd3vTpTBY2DK2Nm1MQfRye9i1JSIU0jBpmD5EEXoHYa8EVqEmFocq5NgroTZWvSBGDHvpjFS+yQqRJNc06CzhQW4GRCVrwIJ/U7M+GogijCAcdqQLAIAljwk4OufhQVGoxTaUuOEmVUxTSIgph4EdGsbqPrmideqi4sFaxfG0Al1Kpj51rUgYcLo+uoampMMce+ra0FgwIzuy0W87AWCQueTuJfVTCIXRcIwHx4mUPIqUfTmiAR92RGlSabblVJaAilHojCCM/hJlJhRUo7sxyvS+B6UkJFa8sa/DAmKb5iFE/TwMoRpiaTmZLYjIHVdtI0cEWyrn9k/+oQmCIU4as8y1s4qUx3tXUhSiAlvs2EAVNCE6sMH8r+5U5cgZCUpangOeXiiDgh3JlNlcJ3aA4LwMk6uOiz7vAZn/DpHNL0nMZjxNATUnW7SAvY7GrinXTlsZ22xqS53Iua8+houz2aky2zbTClmgwEw1oM4jBjEzlEMcVtrmIHmImGliqRsUMu0QhnDN4J1LQpwxzQ5BCbGpst39Eb+2DoYFMb6XAjfogfkjrmJCdhVBRfRBoe2DjJAwSQxu3MuOOn3e52n/a5NAGbyVGcgeMmfKS0uRAJphxrsWn2VIlZVI+epcCtdmUTufN4YqXbMNVBqGmWVTLNkfmP+hALhFAWTD/Oe7j4tWF2LuoXzZwNcRFca1TQWI2ILxyaRSTqwjKRPYBKxewAmAilZK7iUzln+7hYVVyE6p8wC5Yvd9JFTw6KgWMHU8WQiJK0SPTT/J1UsYuNKWc7yEC+ApO+Z+eddBpvipkY41tb3KW4YS9txTCxQkAn2qRK52PBX2aDhGGhqnhS7KRU7NodXpECF7yxm0TYiAZoFiUhzaJC1kLBljn/CPgT05rtWYmicjbE1is18wlSRzDYqTJuDY8LVQl1kQcM93xdC8J4RQm6NxykuZJ8HNUDLbrCTTKwIW5lqqABM7FJklqF3CjqltiFFZ+xzX5sQportMoKNk/RKq7TVp2B6krxqh7elTmjEm8N5OxYKnwhimGu5bybqYD8IDdFUZiDjqaK1KgK3TZ1h6el9JfNYA3ZyV8xBacOirJ4OKti9EIFJgZVE4H9lbYEEbmKI9v2trgQ8Khd6cbWtK0K94ZRYYIlEJ95VFAbd7WCRJOA5CZPbO2Qg0MGllCFtdVlQsFBIxDKL1MMEchec9bEFNI2NoIXfyPyGuoF3Vki4Flhz/0Lyl0wA2GjzJ2RbSdfeFOPvaHPtlJlY5jQKCrbCq+gmXbEVd1xZxcfs0Ve4c4xiOH+BDAvxLEvDEoA0rKIFqi3sZi2rmALgSLvBVFMwUO4TBZK3JjNQIJJOGci2hTVwCObgS89VxRJstHAJ5KVMpkrny58KC9g82khH660sHZKFHSRWWnawCgxDVUCWIzNGMwiPpZQuPMPxz3+3b/9pJt71DZx++aMYanTWPxHHKJIclFaVVI6aaSokpQ90RYCTAwoCz+VGE5ZKHkRRJecbAtFCAgxxd0LikDe3UYcNYpAnR7JtgjhMWSqG1nhCGkMITPQDqLwiIUdFAuP8qCCKHM/45DwIghkHZ353M/4uC++w2e5NyjhxSvTMGSMFDYXtQhirERN3c4BGeOGCZJ6UnrJXkFJwpzP0t4ShWk6RijaIGHFIP5wRiluthyrWdEDmFGkD1mHjEpYOaVUNhFdonuKJa6SbIQSk8JxT1tnOm5ZjOKznqaz1coLAJWqb4WJPC1uUxFNCt52/9pDNvbP3DHwbWqrxw5JK5q3VZY9hhUYMgu+socJnY40sy8vBz20IZBkASoxTCUaAw2vKqPC5PIa2bdElCGs1GY8yMHpOKxK5ocus/F0iyDYMwOAA8kMkHhoDYcsURq1hsz94FobCzRQEUeBKwOmsuYJk4etlbg6sjf4SOzI7LGM+xgUK9keSC65hdgxOGuph4kDYyuMd2Mgod1RGYZPolKlZSQpyEqVkjreCpiPrXr4rFWAkXCE2lhoLP5LtapUSWGQGzQ+AAAQAElEQVSE6yhlOiDMtemqhkpGxzmwvemsC2tJWBslDJJjFGN3THDmEYkGa9mBwMWnWBHl3aAGKILS28WIl0lwiieTyIjMvR4Btwb5uAkbC5d+CoasKCQKYEXCIhu++6mOUS2a2rHGZlYxmaEMrgctLI4AKcqy8cUj16ucMNxBoZUCljcRdlsciTXNqOwMi+Viofcom4hYqt5tVfKLuYPJLGUF1gsTlVgZRSCzrz5wDNERphcJjGWLeHSoGSHhwK8U/qyP/4x7fO4X38w3O/QJLm3INvtiUtlO7H6iI6UYVfxgwVTE5J0+vZ3gOA/sqMm95WM6i7f1uhN5Tc5kLUucewoRwwRVJiuZrCwEXYLp2ZhzCIbLRCbYWAPz2NjIGykwM4a7/wLCS76oR1Q4S6SGQS0LGkqoDfBxODefMj7x677sYQdHfZdMMLenCqS52uzGlmzLZIKRxRGarrAdwlsC1CeWI0C0E20q+y6MTdGDhLflDHyjoCHI4rGxKgNmiu2goaOJHS1WdhOJlzkVRjcjhhE62yrikZoIA6ktNpJKnYIaJXpgZdgb23LOykao4rXoIQsOTUDJW3FvwRJ6RCkMT0j5oahETrN5CR0oe89M7QYaVSYQpYHW5hRFwNbC8MFAHYomtaUJSjA6D1Bsk6XKFAuuSm0sKR45mmaczZpfUkqBTNIVPmX+A0CUQNEsr7w8iVOlHiywXqPk7M3uU7PxMB1HnWAzDmW1egxWM5S1JByhVqRLi2EOdW+VAdBV0VFXUXGU0w1g/5HyxEANrZmEFUnSs6yAIUwQlSojCtYhwTFXsSo3m8j4R+J9xe9gAVgpgDshx6ELUlSIak9JqwciCHZSUTmxVLKEEoZVeM1MTsXobVkklOgk+JJkm5JYB59whEI5JcGCthhpRkSe4vSFTYLhCAE34wVMMXD2jgFJPCQTA2DqmoUgBcZsjAnCHqQouSaLl8KmNjCx4CHYWv4xd+UEgJfMoSs5xGglDoapIhAMn1OIyqDjFBIoptQgJZsYZSbRtlibj7x/2kqPKlbRT4s0ZotQTapaeywcEoNF2ocWPcA3OoeHaYzLMgKVmRG+/XeO8LF2HswQWEAddvkGUjuDCrR5JMrRGsBsmYJlVmVOCfBVHVkM9jCWZRfEKMX9zBLL0LBMNj6scQeMehSOCSJLQ8xmytNYZVhmZOIhgFg8mEQcfFkcDBozaEVzUfM0mZl7t4/JN0V97md+ypd/0a18dB3nqlIj9qWBNgpi8yoPScMelmNhLszVO0KAH1wWCbwySsrHX4QteFRsMgieVMfFopjE4uIZKKhKbbQHrWM00XgUngCyoMqkxEVU4VJIEHtAA8EXCwGFVRnlriuJYVjwoZ6YpHnmUz5O9737rT/h5CEW4yryQLxnUEiw4LN9xVoy/4XEYD8SL1MryZBKyDsrfCLwkA0hIFGY4elXWAVqY9kxgCX4Mp0hVBXdxw6iiV5FsgDAKBDggl8amKWkoPB9TcLwdASbBQieqYBacKQqUX2rYQIBhTb1pLckjLGEOgwISBHRhcXgiFrDaTVyLZFqSEhAycSK1nRYykUpuA2s0uWhYOmRxaC2zI0XMK4gMqa0RUUs5f6wE+6J0GOFBgZI0cRXGSsvmEWoYLCes/FIwHYvGkXkI9GAggGPNVqcleASqZkCHYUdvhfKwUOLp4sQeGZ6UPQmOFi1UoTM7gi+QhDU8sZjOAgpsMUyj0hAqAsymkRK7Bj48x1iS8SFZQ44XKqdpXS34JUR96yNaYYJZeb4FFXBk4kZJ0wEhyeCSYiqggEAEhLbK4wQqEiBrCeKUrs5PGxhaZYAJdvinDsDN0QYi8m7DPDLL5saNoQ1gjg0rEjMSQ93DmGNhE1KBBLkiMK7+8EskkFmlagDxoyBQG09M8lCaTgW2LJByJbRCdG23E1gIrjRW6ZW5IITw6w8q6ARfJAo+Wsru7UQxQCDCIPcYKAyDkxW2q2BRGRH9BqjHSSjcwafFwLIS1WKjiciS7Ftzl+Yxe8YRTQs7IXZukAnv+TWX3znf337k0cnNt4AAIgXRglWdogY5s4jqMsqEvKTA52v4teqws5nKItpJ8haowHFmy2xSvgTLqu5CR5CggZSJTVVVVmo+xnMNv9ORc2kZeZzSIz8v5YEN+R4jsyiAjzteFu26TVKOdPMxNPBh3EA4MM6/Ff1cVfc+dJb/at/0/9ABiKECy0dLBY4VOYpXmXpo7JBUpGQguhDbid2CkRVcAWim1LACg3uUDoiwVjdkIp1RENkeLgU1prA+H2xwWYmshjtwkoN5iliB5kFLTGioXYTRLHkGSkzDHFAuggIy9xKoxP4hi2+YsbfMNFIstGJB6QUBh6S4uuujw3CQLSJORUqSLUVDeuaCcKLAACiBxOQEI1zpaUFVGQXJ8c9WwiUMBAM6L6QYdEAL9nEymWrZUVfQiUThuIISH+MmiTIxE9rzJB6yiLBa43huIcnkIpilGvgIYJQZwHAimCCJ1gMhEY5pGVlNnITyl4bRtFLkMhu7YzwIrYKe1FjM60hOSVQvMSOkGLNUjSOrNX3CmOT+UmwGaaO2avGKsaGoWrcZFSLAkleVqmjBwJLguh2S3tEjqeEbz9VlCdGFVzcB6uwBSHC5CmcVo6i7iiTgze2dtEBGxMShNBOgZaqewSemFI3HA1ggQuEGEQkvJIGCO2BqrArAx/gBQKKhWqUX4BFMiWMlOZa8JmAJh9mCTw8m8SAANPW2Lily7rCAoAhE4w6J3ngj+tYTHJiEBaic3zNrBOOMjEURj3OWtk1laAEQSV0r3JnZAxwGOKVNoaVWh1g2V4qZvssX8hNFA1vx5T6Wokrq3snANgqMxQlTwjjytcMDmwnep6EQkuz0iqio1sU1azYI5uia2QjzPDoqGClka08WaTFVTw7KTExwNK7QlAP2/3tsJbVMFmGqK9ss4C0TdLBJyK2EU2MOCRUjNjRhigIJzCoYepA85K7fA6/ZvjMtaozqokPZC+fSc8SlQSLiCxhsxhmICgHRHrKtaOuYglRA7mUIEJnYgBCNuoBeERjKrEtD0uLWC2HjHYAMyr1aLXEIjGbJ46SSGdJw3ZPLEKpjHUOppRif6IRrSnN+fEnTl9611vd9rM/NXUUf4rxnGMW5zGB7mB4JAwp2j8ip7VUICPHnf10xq7BrQlGUdKB5Sv0PBLlgBEjnJt3Ntwa+ZwhMreWyMU5KZ/z1CiBkohMsQKVRbtR2KKqSmwzNZMq2wX8QpK0rWgVJUhJUSWyGGxyRSYe4uKZKcYMHO12QLe6ASqM7XCyYIqJvtXSsKCTrB7m1Lo+TokSw9o5AwDmkdBqN/BNTjSFqcMgt7GaMXzBsiDDBIMSKveIb4qJhm2oYBTGYdovDA/efQ+wokax7wqGPStxTXmrGgSRIReHhQTIpm3H1QiNqFoSeibFaZdekhk1qDoEs6xmoTp8wyE0ELHEC7zMCQWPofKE50ndYKREXQzsvoISdwhPZeys8VAM0cGwYKFRiZBMkcwQe9Qay0pe9khy8yhwZ8BA4czaLbIorUkJYmNIGawJYimt656lHNMMKilQhVdUYhiepSluEhrtR7zhK3Fx1jLirwxiwIKH2BSqaEpuOCIM81nHCLHu9LhBFS2aXtmJtcuqMiYsQw4nhSkgJbZmtE71bibtw2ZuOw3EEROBYkRANcXnPWdSIjInzZu6cJ2kgeIYpQvg/kIWrs0TCS9gOKBDX2aIeKF+qiw1ec3xBCnJLpipTzv//7jqi6649cff8vD0ZqPNGAPTyGbcA1FSvM2MS9MofjnikuVXLEvZxlT+NlIokYGGSAeSUhA6mi1O3UFQ6HAkyayQeEhnhgxvO3+oYRGPwQ0NZlnIIpAsUthZTH6k2EU9FoMesc9hRoEd5scqbYYODo4OPv70+V/+b+/2pZ/3xSe2o4rfjihIAPHRGoVPFOtBl5j2DhSczR/kMUCwmJQgkSQ3Ua/WaGuzWHptcDXLVamqdWNRoMzJsTc4ha3KjOljKFUs1S5qxQNH3h4yA0dWlPAAmxEzSgjrjm9doWqcm5EIb330aDmgMLagBpTCMkPRsaVskLJRpCADEIN1zTCcDnwIoUsgSIpiG8uNa4oc/6jKeCDDE7yZwAgQTaxaXTSV7yw2scOzuqKHESte9rJhJvCIhIVbgnqDXWhZzMp1c2X10oXFJO6aYm+eyUJcW9kxOGgNY4xSzaBzD1E8FvPAIiicsnUwJC2hYbcrLHsQA2XlzUBVSACYj3kz2I4TqJ9Myx0Yl6NwsNEmC4uIGrFizuNCdAbIpV1zjP1UKhUVI5VsGaap4AouS1DYIlWZgUPJDsUmBNZZICDzlDGCkBHkDJxYFAXAksOZk7DheUDarCHbiKEwLjWkKz3mdTx2QfayHWem3BDg2jlLMMRgKQHJlEc9qlhs9Kx7apG9IcdOIl6FKKHAUbOtPZfQZ/lIsZ/7pC0iyLk6yRpkhQRLPDjCQMgkUgZvIY5ZEQkSjZwXuEhjhgDEw2HkhOCBzlXSD2BiVAFxY5OQTRU3il8rUHOchaO5vSJ6ySzNMDXhIrONwoCxiT8M8BNR2TJaLFWBwSAKK4tREYAaKiA04rM+K3+CVtXMB5Ey1rftpFpizNpKAADjhJIg8GQhVa7cLlKV8w1AkxpQPVv8wlBdQ2AmgnBzaSpxC2Gobnawud/Ft73iS297sL1ubs9M/h29y6AmpQrTCnNGFA7LxtEKI96xSGaMITD2xm5W3g2+P21J5r9BRiIipKihsbiSjdpirHJhNNGxFprJypfzUFJQCcjhHsMEQRSRxXB4NkjESMIKy7dc57CN9iwRe3vqcH7oqnvd7pK73OKCQ/MntFg5C5VoQgXfTjDQxKMEAyozD2KXV6gUEz6lTGhgpGot22DlYBLCngjAAQBNwQK4w7CUnY4UqzTsVREMfdcES9T4InrnGKUKCaakGX9xQPk/0pE0BN/7w5jkRsGj3UhZsGggGKlzdi40mGcrYurM2LmARTRErmh17kIOBBdTdkWJb1QCBxvCmhIIUSVHaoDSnm5Gwcn5v7qGoxThtXvYV4HeeUXa+0/btbexdu2s5MUSFAKuUMKxqJPXwDaAtDTENZCVWIGVOCysKFSCKeopZ4iRcuFRIjBbmnAC7oBRCZ0Yg2FTZckmavopdgUeMiPVGyTKogNoIiSgZYmf84ZhSnQmGK/9CmAFacEm5Nm2TAKhFYPdFAhyAbblIEUMbPCLwtvNM7XEpOYJQPURRU2tUiogHMqquUXHHSP7qg4RQ6i5gRc9pGU1W1EcTTEQYIMTmQhZ7L6K4JJSs+YqSZrigBAIgg2KL0uohAeTyA6HBaCKDzITUkdKAp5QnpqAY1hlCF8ekSf6sGs3fcOrdRQWTym+irSlXFKgWQ5rB/AEDYiDqzKZ8CsqSxxYquOfFtoRSf0M22FYJcFvpCyDGVdeoZRWJXKlatLzBmGUTwAAEABJREFUvg6Haney2MQ3SznvvfQJExVx0DBCHcCsaWLAVmGMpXkV8cORMAuGbIKuy95ubnHzz/zm+z7mLp96h4MbxsHcDBmLe6hqR/nOgqdlg5sq1o7ipK60If0q9JqDIkQdALJwxSGUFMvHZxBYtvK/vcR7g8p8vYyNN8NjM/qfrYwQzQafAVYuDckikoTUrylnJpFsvqRkx1K0SYxtqThmaJg7XEOFnzzH5sy42Q0nLv28S66886Uf75ttj8T7dBZDXHfipXeAJRgVeWEk4pNA2IuJuFWTc4Kf6utYGpSr5EEJaLI0wRMFbxg6ig4GazEQ8HJ8tR+NjIfJzC5IrfxLHV6WIHylMMVUQZR2A2ZqDPQqXimAXRVbBWZ+bglDcyIOaYRt3mZT9IEdlGaYKvJbicXWYFa9JSIrA7niiwniOKKU0nsSEQh/EVbCHF52OOEYa5UyUKHIrJoyVdlaGszo1wxDVczQTmN6R1xHU/jiSidbg67681CdNKkKdFmkCF4ES8nw0HZSEEas7M98iIsc1ccvdoRUhGwUPLYQjln6+Rd5lJXUgoEAmqGzotYo3iR0NZFptUSlPLnhQgcp3nmoDrFMg4BJbRADF7QweIDAXsXnNNuqLmGZMicOaxU+vcYFEIrsv+KOvypAJEdh71OZrrQJX7XSOjsGzRNgNGawHbdo5w5LmM0MsYhhmVkdMYkQisodRZ5U0jomeCDBU1afjmG0InDuhVitVw8uBAVw0rL5VMhxzYPVxkrAkIQyh9sMvCQceWvEV7ESWShTZ9nmgzNoVrdXyM0kIIx5HxkwAZkhaoZiXdVyiJL5D63yqKwetWeENXTWyhWhJ+AIC7VBooa4EDF2rKig2pvh2YjcF6Y03SOMGpL9EQ0Y8lnG+0ggsdHTEl8CxImh6FlURcvtaMRd7ZwlgtRyESHbqCjRIccUTjVF4dQW/zzRTj6V8WhUFUHJ2u+TKpGROJh3vGDFFTYmDORNCImTAlqVrRUSjmIQrBhRxIMgs5syy0UUakwcCgAbXGEWvqyFylh54VeSigk5C9+HN9vovne79VdfdudPvuBoM2+oo1MGiEuwpCHG1sXWppiLumaRpi0mBg+kYhivEIVFpkMGxs4IVa0Ry7J2tJjQyy3hClwpHFiRRBEKRM1tzQnBayph8RmTzptR4kbbLZIidVR8mzFzUQHh+VQw8/fJ04d1/a0+dfOMx93rHhd+9kk77cCiRMARdnoye/kVGfv+C7nQV14ibD61ocNWNGcpRKE1twJHiNoPtijOCiv9reJrGwCU6mh4kaKIHH3B1KxQMTQjV805SQ9msBg/WFXlgkVwKoiKSFQSLvcTFtfy5EvNBlgUHYiUsMIuBqUyq1xiN3lgi0TRSu5QZNPOiVMklhimegzFmIhNE6EZJpTxIb3GdgXkMDv0ZBRGUImQRTCpzugnJoqlc7utVddEI0hNhjJrnCY/CRRHQvGFAyqskzAgvPMFWhInzYuvrb1/nVN8gSwqh8Cph517wM/L7Ld6CJcKrNYQBUdka9skjxYVO0uAmYphECFc0z+JYtSOjguWuURSQ4Rw2iXisiVMyv/TMpP6ceJ42BY2SoqpH/xpEwWsgoMk8tASG2Iikw4TJOpyqiBXqBEwxIENgzvJihKqWckzDmLU/paqQ/VskDiQRDPHkb1SMT+aHE3x8cWmBKrjKAQyZVRNtS+uOIBrGOdod0KvooATuRhAHAwibDhno3mw4kTUoBUNJgVSYmAmbouwMoIJoY4EJ2pRcdfBinpAQmcLIAgkDiy+gIpUvB4TrNhEbhNaFaO7Ujk4RRbhspECVtV5pMk+djVUwQycq4hClqy2SYTgAPkKg5U18hNe8SF1OygDd5v+2ab+IrTZiDp1TwUCeyJotyPuUY2RGESwA4Yp8TsHK/cLH+fzMicFjyN/sj7hWy+9+mEXXfGpZz7x/NPnHR5txtae0FBtNKlLbNRHQ0cmvyj5TBl+q3lmaiZz8VEpjwlSVMY/+fBLjtFoWNMqKiKcXKa4kV+niAtvfsXysA8c/TjYHIxxYG885M2BUHpstEEe9vAY3pghbZCgIjbE7ST8EGvBHHhuxtxs5hjQ1gfbzcHpccGpw08780mP/fePfPAXXn7BvNnRGXONtzSPsumKLNxpEnyxCR6ugTDSqXSZZtOAWK2Aiw8Ckjhclh0BVFhtJ4vSDSKwUpYTLJ4wbIVyge6twkBKiSa1zlQGRSYfwRDyNqgiMgiOjxkSblCAXF2MAAlS28KvCyhKh+HkSAjDHA04EDhAQBZJFNKFAqzOVRkStyAM15ak+CKg3BECIYsCsIgjInK4NsNAZEVfPPooWJBmEg3BWnjj1RrWEG2XQJBXDLyDpcgqilKKLLYrpQpxswlDmbUUOKKfPCGswKAS/0EzmTg2AGi40GFmADB4UNUsYhCMTzHp9yYUmCGYplUeiiQOMA88C0qszPDHhNjWBLczsyVxdNTBImXPyVZaVrKkFSWYyq5hKJKZfdCLqKqO2CICQSqDO5MlO5Kma3oyqttUdM2xBt+ZqjBO5t1a5w4u/NS2GkjS7EidBkHCq9cds7cKJvoVSOp9qnpHpF1MY3pfysgJK2nQQ62KlbMgTMS2wuxEAiE0oQlN5Qe2KlzWDtccCGAoXJ5Vz4Ihswvc0zSlVLJC6kEl8FhhWqH85axDmWJ7R8miOBJ2tEbiRBukFI0NE9zeKMx2dDlbrZE8i8MKg7m6kdQJIaIM5S0h0PBU1WEQq/aIBXaytpHqgQoeiMNKxwvFiwHGvTUbkxnqUeTpfBZbQ82uA1APn43DazsARWPmQHlZ9zJLWWlA8UjcFgpP+yRTLbNZ6cVmmG+DsWDJS12yZYkt4kFr3FIUbGc6hsEN9wTRu6Hmgt/BiosFsCmFFGkMHgSpzbZUBMlkOSPppRZEdIrJzFKEtXQw6oJNXXLRLZ/w1ZdccuFnfPYn+xPPO32BbzqsG/jVaxxd76MbfXSDtzd6e8PYXn+wvQHToa7PPD9ycl53Yl53OK8/qBvBb+aNB/OmRZstmlMb3RTT9saD7anNvGkzCXvjpm7a1I0HOnVQWG/yhIFIGvGwrYDH9sZxdMOiDdmPbhxnrifCIM72ps2OOtrRjYgHk9qIvA8ybyTUQZ061E0ndNMFm9OfcPLMv/nEuvPn3PyRl9/hKY/6ss/6pJsXX3Mquko3xdcnTaFZdEr5HM3MWPJJROeYDCPOp9e+JQOU+76V0ULiO58FkjgTM0MWl2CHwJEz4H3MrByiOHzuxxgDJATAElablRKJjTsMStRASFvi54mEjRhcr5ZZKw83nCUiCdgSAjTZMEsTSRtZzK2eYdQhHKV6AGNdgQDAo1lMK2UGWqUqNBAAFFTQUdjf+pxUYRMbiTfsgoGEmq8SagML53SCpsSEGhD7rTI8qqooJEJ38TQnFn7IqtpvBG6BVHOyJTPAtc6EUQ0Lhkq9hqrQoKNjHDXBAy47i8x/oqIslfxGPaqyREcKFMSoolSFaTlTS2VOHG4phOTa8S2YnP0Cp6JdoUkHaxkgCbwvQOVBPBa1SiKcVjg6MuVOlI10MWKkIWnEVKxysgMQyMrxoYkXt1+C2UfrtYxqmMqsDPaIIhwqobfClIhqUVJf0KiC4eHn5pwWHOk6ZOonTPtGXXCs7BKE4Zos91pZCgtSIRAaCaErZ8ttwsKOqmg+OdhgtYgvYFy6n1JnYjf9PSisTTMcobErQ3brm6d4GxGBGRJmcgh2EJlFNnMTH+eURAGBFP1IedVDDFcqoabqfKqR+74wea+kaoIKxAQOoZk8YrtkUNFnNokbNhSVLSc8GJxQdjUDHpKAaD/CAzPvvdbbKUY9sFkmePG7D1dM4kZ6+rzTJ6+4432edN9vus+t/v1tzr/Vp28+9ZO2H3fz0+eff+rEeac2J08fnnfqxMkzhydPjxM3jcPTm5NnTpw4fXji1OF5Z04enjlxeObw8PThwU0HB6c2KA9vPHF408HhqYMTNx1CJ0+dJP7JhDpx/qnzLjhz8oIzJ84/ffL8MyfPaxNBzjtziPLk6RMniXn6BPrzk/3k+QCAnTk47zQZT5535sR5p0/e7Mx5Fxydf/6Zkx3kvJOnT56H9dTByTMnAwBzhmpD5505efPtBZ+kf/X/PPzXd/7E2z3kTld858Oe9vmfcZFvEO2lJYNWiwbQYK4A3c9cZq6cDP8qJlovC4JJ55QBBBLXviO0VczKqKLF/LbZvGxS5aISCYFTRB78y96cHFMfX04h6Qp74tlGnBH5vHQlwuRihuwIYYqjJSAZIBgAWqMWezYFn/viJrNv0jeG+GRp4FiVeJc3kdaDxrgQzKxxG+4RtzDAOggIURWElgwpOhg6KfagFSRztHnglY23Z/cmQD5XIfAJYlxXpIUS+43JMmc196JMVZiMzT0RfOVAs6MYLDcsB7SxQYU8LYTqGYXjkWbL4qPehWQfANA4BbFCxSMGTcgGOiPdQLMoeuI1oUlcLlHDEJc1SgSp6yENAarYOEqKYpbMAI0FvgjRxcGnY/KK716ZwsiJUOrh7KALhNE0mOhjLSHMTAQhBRzhK2YeI6LfO6hQ7G3oKydllAKBm9zKKpnstAmuoiJtlbESU2iypPShgdLkLXMuUS9YTgQJ44IlALIqmjDnPnHfBV0LCrZsz/7bJt/hURcF8qScUocB9lFhllDJgZ163OWRu/eIZ4q0nBFYii8BMrPMyyC+YlQ+78aj2oJGQoSEUuG1Bi1sphoJG2YfBnFPbCgs4SxKU0aF2ecedAolYfAmUetR8DXAzoUjAq1mDiWNOSJ4wFghQMwQGnY9TUgkIEXFNoxWcBXXCF01Y7i26axV1RtVtZuTjmzgq7IVrATnM1y8oSSOSsFj71iBtyNaQhR8PMQUE1A04inn8lKAGaUxRaplcPKYAPsVNlSRJSxQAjbPVGQnemkqgwa2VLQCWM9AVP2uTMW8QIs4VeQ80LzFp3z8V9338x/3kHs+/H4XPeTLb/PAL/mcB9zzlg+8x60eeM9bPuCSWz3wS5q+9FYP+tJbwj/oS24FPfBLbvnAS24J7AGX3PJBl9ziAZfc4oGX3PKB9/zsB97zFg+KBgx6MIjwt1rKB3/J5zzoktCDL7nlgy+J8sGJAwYk1EEuIVryEvn+l9wKuvKet3oAdAkzKW5BVQ+6J0yy3/8et3jAPUOLeeA9PuuB9/zsB9yTMqDwD7zksx90yS0e8qW3evi9b/vYB3z+Yx7wxXe9w2edZ9EFulmlma8XbedMT9I2HtPFKdrIsYUvjm0RDthDCqvZZxIZES8Igfkc6gjmTka3QhGX8CDx6hk1R7HY6IDuBUxIsbKEitStDBChK4sh+mMvDHs++jytIlCyEwB3vGAIcC50z7PGznKW8EZAHR8WhFCktXYe2GjguWSgkjDdDsvlTkPE/pWxq2ItwMNQUzc/BYMJnpCOtcV+O8I1NrT7v44AABAASURBVHc4CSpvF2CqpCCdCCP4XqPEg/qZ8Yst4M6DKuUgk5HK8cAOuZJUTG2DEZqpMDzwzICAKsOKnFgwKFsmIGsrURGAWFEAxYRAOSnzWFCPQDCiVXyr4SihQgMVn/dINgpwxOFNJQR2j9Af98IPnlLZO4wkZwOERqqdr8V3gDLQs7gSmJg4ZU5QGo0l5Mqc55hBgG/aWUujsi0CLRKxiiA2srSbYUQGnhCQnaGAS41M8mZ2kbM7ZURZOPMgDp6mHUw777W4QONJWDM0okauRBdBeJhdcgNzeWXQlByIse+Lh69gsVcFkmcx7ZaphDWhyAse+Cw0rNkjPEFLioozKN7NeKWYRORgQcA1UdMAWOLgSkSgDpDFOwxpyc0QMlLzeIpMLLx5qIMa4GNKCJBEACysrUCDseKC2qIoS7wd0cZGPdDmzLjFzf/Nw77gym/8949+1Bd95Vfd5UEPu+j+D73wiofe+UroIXe+8iEXXfGQu9z/oXe+/0PufP+r7nLlVXe5/1X/Dgbxyofe5f4PucuVD7nzFVfd+cqrLrziIRdecdWFl1910RUPuuiKB18Ef+WD73TFVXdCf//Md7z8IXe8gl97Fl11xzbd6fKroDte8eALr3jIHS9/6J0uu+oOl111pyuvutMVD70Tjlc+9MIrH3bh/R8aWjzzEq946EVXPOSiKx965wc8bMekTop5CJXf5YqH/rv7P/wLr7r6no94/Jc96r63+7J/tb35OCNGWuPVN84RhWgKt4aO7E4FXUVJO3uVMaAMxbHC8FhxI1YUFgFURUx+a8ISGSW4mDkFEcX5TlpGtICLJKpSYcDeyniCMWmJF8AuB7F3AKKCkJwMecLirzXQnCVSk6UNiSVRNUQW56ooo/rHt3BYs7RHovPGsfqHS1QUIPyoisVCo+Apb/HKmFIqj5IAFKyaJC72X8rAGp7IaiRGayybCK9YsQyeFlFoMWQE16Fh6TgSptAqKtyC0oAW2H5WgBSMJzhMIVS1dkQgoUERaD+UzNotRb1gLXV0VDgMUenyJVChJAX2xaRpMUYRG88xoaeOJjErg9oCjUxHgC4J0y6vkk0ZsYMTH2a6SDriIadKoiFDwcUBlhMR5ZbCIEMUCuEGDwVoreNCLAxiwFoyVktKJ7ssNEhEAwftMgNZyWGClogniU6iYQ+x4k/QwpegUjNgLDNDawEiO7ydubFYo2fZESZoJxDL+EiGeLRS1JJbsQfbLYpxDnNWeVyVVl6KLDFSv3N52RFits3C5cYKSV6GUh+leqRpBAScSkowTAKijx5EPleZZGlWxU3JiiaB8EovYSkeBAE5SfhgAGJfxO2U+a9EiUvFbB6hFZXwiJwJoh6VOcXDQOSILVzQWalyd+PQpKL2SOqdlWzh2soEISaKZOpMSDHa1U41lWurKGZ+1pmwCzCjgw3BVkITIj4SX3K5zZF3UYRhkTQiiN4nefuruZ7CRsfqrLuMYVNKdTyM1daoF5M5RQgbD7HQ8LLfeJ50/et/dcGF//bT73nnW1z6RZ97v7t+3mUX3/qyi297+d1vd9ndb3u/u98G5n4X3/Z+d7vNfe92u/vc7TbQve92W+g+d73Nfe96G5CXXXyby+4O7DaX3+PWl9391pdffBs0l9/9tpff43aXX3xr+GDudpv7Xfx597vb5933bre5791ufV/EuwG79f3uFrqs5/tdfNvL9vjLL77d/S7GvWu4+Lb3uxiXW98v7sy3vuyuIAl42/tR4d60QjHfN/E/9z53vTXb+ZK73OLffe5nfOb/8fEnLW/pfOXdVt1j9byOh6YoIwcTTXjWdaC72RkAOcyY8xQT54jScOdQizkFGAA9J53dc5A760f5krKix26epmZIBEVeIjNho6pMBIHMAGKtFQ1S0y5ma4LPIw0bsgRJZ2dECmHWPx/mE0w/VoB/bk6QvS99Sl7q7FC4RMSnRVY0zHtK4PBtxRSyEzBlx8pWdxFaYwm7WKTM5IOHFHMj8ciNpyIONpq2hgkEXKxZeDBB6BMUOSZqSJdQoogQJSyEBO2+/EnAuyezZBMG0yIxULSK64dEMEyBoaSVdtY2RNnM0uQlEC7vFlzYTAj/xkTTTKbAsqpfH71B7NLSMx+TtJSYA+umhZGWPvPHgLkk+v81cDkLqZq7n9WXLvHNzaH8KIqR9WMfzFRFSzLLCcnl2aFaB4+WmmHA0YrUtvxKmKCYckyFdYngEdwFhA8exaoqXrgsa/zUmhhVJgBIuX0JqDUwGBPfQDL/qR+UQmtgwMVSstAUuyAnmh2ty1wthec1zvUJkk2NVmNsNwT0maMpc4dKxIsbeyFJE37AMYCEwrO0qcJ0eofTMUjnDss2CmLWik1IGoBAMLR8gLbenN58ysEnX/j/uP0lt7zbvW/9pZff7l5X3O4+l9/+0ivu8BVX3PFS6MoL7x26072vvNN9rrjwPvcPc+mVd7r3/e90H/SZw8Df98o7xXrFHS69/A64M3/FZbf/CgJefruvuOx2l152+3v1HP3lt0dz78tvf29MV9zuUkSYy29/r8vvcK/Lcbk94NDlt8cFZOb73fZe97vdvQhy+e2/4orb3/sKKoTuQKKvuPz2l155h3tffsd73++OX3Hv23/5vW59yd1u8fmf90m3/HhdMM6MTbfBGpYlfgDsxolecGdDtB49hLk7K9q2lEtkhrCC2VF1OHspmSE62nLiI44WYFiZceyYRfvh+//wobQMVKGwuSf81FYlRVQPIImsKFvRU2PgYi2OEzaEmKWfVQCxUUIwrd5NWFEuYTFoWiTRIlLCREcBWUQiNMyR7OWXTu64HSDNBYGSLeNgw6KAhT52a/u8O31Dz8LgoiEQAQSms/PZKixaAwCCzSpKhV965vCFF/7ms42V4owhnwgWKGbcQLSAnVZ1FmTDVFbBsBJKBAGcIGoxeYNRjxKffcQVBGYmIk5NRbcahjs/UjYLBgp7HBaXyOc84JGYF53btKUxQ6lHygwABSbtBzyE5NjzGGFP8FBLa6IkiEIKKKZ0YlkyVybJGPY7khSpt6kebAd/lJCqsegrsM3IZUcC0PPZqSS7Pc7ajFI9zmXg6bKCFXzbM9HkKDv9PkbSLQxtj1eAeVDmhPY4RO2z2wmNBsILNDL8YuAXE1fLgopHDBJ0ya3c1eb1FaKG7HntBzVASMCEFU9xYQc8C2xT5cuCy0/K4mndvv/kVA+Ong8H9jFTxAobi/PWEsNyZvesAR+qHeNY3eHhWslLqzhAlEsTRrC1GLANY6fHGhGdSpRRw2Sx+j++8HjJbdDsDkjoJXaZLPS5RhTUDxFkwxPHKHkIZfNTLi92fMzrnewgVQaFuxyr1rCNmWeJzO5KonTnkRxNRyiAkDKIVFGmhcjlJBZXC1Ctng6j9MGoQ82DqoNZBzUpd+PaLE3J2y1/TYI8Jzv3lGdlLrvQTIdJJ2pLHdQlNJpY4TO7ipo8PZSfTXEn2iZxDANxAXDhX3NHeVM+kA7sQ1HDjkaNQSU7KhN95t84RiqpMbeOrvq7MfNIcLJLk5KmFfOwSDRrskClwGlM1AFg5OBko0CtYYcrgIgV83QGkvhFdbBiW3burlGqB9l6lQgAieFzrNVxxIj/DkAEFP+MUANaaipfYBc9TvDKq7qwssUUKHaQglClfBZ5uXQnKkq1yhwDyLOl6niQEn7NMIvwhCFWiJiLqiPaKGPttadIWtra9ap7jD5FsXw0RWnjEObYVDNN3onEEVZIKu4UTDaQhcYA6iOSEoV2YNMaZUazqBMw8EQjDj4kbR9hbZTgAiNyJ2p4lOgX7awumog7QJfs/ieis0eCjFfsRKZ/YMhoWYyaWQrFvlB49FFox1Yg6FhMEe4rhA3mY07nOEb245SXC6IeZfxVTHmsDTywqq5HRWQ02o+lRSIFPothhuylWDtAcQ7NsmPNI5lRVCqGRZdIGGWLKY/zgz9L6zgkK41KEybu1MKMRAyxUCdVhQHYLhHLrSEFTMOYdoQ7Skj7cs5qgFR8RbFERhQJs4j3FMqWHEUf1l50ZUPEUeOboQJPPowGXt5WlDYzVfGTgm31f56eFQNdx6r1Y/SWQygTY593GHgHYYMVXnSNvKtvwQo4L0VmYg87Hgiod9T9gbfaqh7tSSgVr9uKqjV7RzdDrFgjuCg2/iyV5K7hOTbbMaCjsTny5mgcbA/zP3k6Ojg42hxuDw4z+zDWDZoDAEfj8GhzYntwgvno4HC7OTw62JyJEvdBkDOb0Xif8YBOD5T88rNoc2ag3xyhDGwcbXxmjNMoh0+PgzMHIxEGsM12swnMB0cUc7AhyxGaEF6bMyuvDs6s8nDU5ozMV9w0beEE0xN2rmIy385SmO6LCojCxijahNBAblcOGnGB3a1dM0pOknOEOYfARwLPUgQsk72Kb6Xd3bDy/WjyFWZQSsriNFQitsvcG8wcVlDmoNsqIUJiEIv5mOyd/lhzXNgyIM4qrHlEMVlRoln00Xw7VVoniuq8nQGvNuHTtZ/rhW7RBNXWs75pJNpj3xEORUcGVlua1DqKrHUcBIsGK94IEDWQEYqf6IsZ6BcZ6DQmiz6aSDKyaCiw2m0EuxgJEg2xYXmTVxtwDdDaGFZEzAIibCK2j7SzKlZJnUeg83B6u+0jQeU00iM+u61ZlpxMxCx4Maz9VyrW0m5wG8DshI9d7Piu8rAdM/CL0ECL//9nXuDMFACJUoa16a2RC2rtvmblhZPLiMFLWQuPAl8c1YMOSw5SDCcIWSouPFx1tFEKSTjmXKQw4SomIuIiRQmDCIEfaQK9hMRAWXN1WzUDloLoCoRVotFxqoqerWHiYIyhCFIwENKatVfiQ97CXsDaaAISpAmlsjHjWWjW3tc9BNZ51IzgoThkY4gtUQPUUmDuqbzFyDZ7njXdEUHFTvvREySJWVA35UdopZo52GwCaY3S3DPAoUjHyggCTTRge2tVUpG20IQaD6PODRJGJQo99o2Gp5Gs6WHKaYf0hqe2pRoyA8SawczWOOEtZFrekRVVtHhlEykmL7I5twMc2MpW8QaE07YBQVCaSMxDuMxYgUc1a+Wd1cUbdbwDinlnRbQtz0lMGInSSSp0xUCNFweDLHnMOelWUxgJoFb5ZtflVX/NI8dukX0SRIzttmaPxJ0oWUXaxWLt/5s99HObvdUsFgAGt0XNUjWn5kRAv8zD5A2UDMWYIMJO1WQV94iqUiZ1sjM+kFQlkPYom405bwEzMItRANi10GTJgzYu8QobHjMWSObXN8lUFUm0wJ0aXSJFSa1awxGbhSmRSypcWiWXKZCmIFqI6mFOYClbPJ7Q73nQBFwSDMSdQUklJVZSeJqISOlo5XtgtUggp3b1V8pBkWWucOfO52Q8q6YtCMcz4WnQ0izl4pn3RJZmPTuv5L1GGTsvPkOR8uw0zWbiwZd5kWcX5kg+60bbdpFdDahuBeoZJI+LqankKHMH3NEXsYd5AAAQAElEQVRstbVTY22UNLnSWmGI2XBEQipjHaVhXRxl1vSiGDslSIQOUsWdmfIkKFbvgikapib1wFJVwYhw1bpMqbH3S1QLSRRgOzbYENolRlfzLB+Z1CzeBSxeR+4sPWMZwL2zIsbGoo+KqR587mzQnbI1HzOZEltFvBUnaGtEv0/BHhFjUE/KWEWyce5wZDm2vQvhWimXHUOAnnbzDsw2VlC2mSEbBsK6aO6VS0SCoqTttBTBBs8aamVxEgi1jhJjRWMZ5c4EV/yYkz0aPbHN1xYFGguEYoqyYSkwH8mO7MJuzVn22AwEgMFsebk5fB7JxgamZHNDnCHQkBh2giq7QFIsJZJXyTtlnbVKHVkAtLUNc6wJr2Iubmy7VLEvPuhFSfBxYs/ooCCr/TtlsUVUyTjnDBgjJN50oDITjJ0pGvzJzSVIctcYtcFqsb/h/KmNl3bzxOaQ81kH3JriK0dSi0VDNvBJ1zlFRuzM+UZAvbaTL8eqrpCF3RV6OIlvISYV2yLOtiisZEIALsYQPGuJukE6G4SXy5RQ0VMEGkTtrXEwOlXP4T76CRhN8IkQFp6YEjdiM9ipzh0ElE2RzWSrCBCYQD2pBb40dzWksLKTPgBse0qEPb9WO7BjvW3OANNyXPyuSrQSAPXAJTUU2zy2w6BmJiZz47xnWjp3SqizVmDQsk8Wbt5uO8GwHXTSsCJ2GQ4se6U14gGDE5ctSIJDRNwRdYGBkLG7L2MYvOKLvY8/zeStvlDYY45XkZLUxIxSMkQlXYMY8NKyjj5BF5BEVkYRI+sxXg0+R1R/NIBRiThKrbFzJHKhtNE2Q53wJSZUEkp7L7Tm3Kljyv7/CHCPc13+RR7U0i8mMyGhVcCotpaO9+VqjdAELIa1lJ7UHL88+ZBiC+teJWvdQXTj+IZ7b11B1r52OQAdm+Hxq/KOEfhcF5QSofkURUwNreKjrgz0RINgeCHkSiBwrWLUccXE1Yq89D2TaymR4LEzkzczKu5C08bsa+72QSsc3jW9UwkXcqpHtZLpWGPiijx4ciG0xrE1ImhAo7JB5X3HDtFJw0qyBjtIRSUrpONRqob0hBEDn/TF7EM5wRsgcok4tryOwwx8gELh1yaiMlM0GOBCZyOvaOrIbUHh/ceUbSg7zoMzJtFFcT6EpOCUQyWYcC0+wBIG80WAiiDDzscSvFZ+aQIgDhAYaXi5iFWqRnFS3YoRP7BCG3PFV4zCUIUaXhTIbhBxFiHgCCDhUTzhzVRiYJvKDii8cGxeMOwF1xAFlcJosJ9snPYSB1VA/FY0FBFt6mPZEVe3KBRfdUDtRswJo3aLKRoqgURUis/JD8M4d93y4F+/MAHWkMa0I4GOyDfzJFahi5ZPB+ELbCGmRnCxWTWsKbAhkkTbohhUEXzCRD/BZMUiWPWoXWK3hvgifpadtRd0ayUDEcMHUg7Hw2ExN7kH1k7eqrNW8FAr2cxad1Z7l2RQCO7i00j7yjTddEsA9r67vK4ppV0r0MfOFGDHBSYBKZyAH4vaZY0aEBQOaByb3dclHau0K0A2OnwgMVKyaB/KSDxt6ElLSS2om8oIdvSrLljTFgssPpAGx9uyeuzzqhknHygAOysChJUZqwgUUka7kLE6b2uYzvruBKxwIQJgHWFr8aqORhCUJaHVPxsoMaGGYa4WcIGhNTAoTWAW4mXeCWGjQbR2LyucobbExLks/qPmFfOjVADJt1cBIAqEwrumwYYwZVkPn3zkvWOZKDwSV6CdHQbOq0l9/VZZOUrthtdQ/AVazbSRaMtIoDAo99lgCcIcWpHhFgNUFLGj/gyqxz7yOUG0XDAfM3LnHWakmEj5W1Vqc1cii7bARkWwLERQNmrJMm96YaAjiIlsJZ4GysRgkbQuS/FSMpLEW82Df4MUAc3gs6waBGKrRieV85uASKGM2u0Id+DMUWpvBa3d8JRAiLHihAkeqUpdCKokkCaiRU40liCKSC3wgDnziZvyCIsyzFeDPMMWicqZI43AsMLjODSmEhARGFtrCQyEronGiuhoijgEgkNR+GWZAYHxKlOJILZgMTLhRJ/h3A9T917M2pgvkjFkmycOReUzlfNxM4oOzypFGlrD1ED96iLCtBUbemZzH1jOoaVfM+q4xLfj7bTED5cCKgww9qeOnIDRGZAy2jHSXhHl7knwVofZ6f5vLx/j2/HOBllW22pKKzFmRyxU7V6YYKCUjnAuoV2i3Wx8w1i9NcG7MEHaBeykfYGi4QnRKhtwHJDJZE+v24oMVUxBwCu8iFdMyYR7OMkOhAdLqApe4USwqgDQWBbuylJ7iJpRhkty0rPCqRftR3zhAYTgoHN8kRwID7R890zDvIvcStpxfDn3ViIcE/azfHPHxcBgzcxe4PbWxaJHseZzGXhoffLxW8THBCVgSDLWFUQMPnnM59DCOOWfo23WXtrMKwJzab9DLyZW4KvzMKHuyTIwr9uDHh7iMOBXK2HQ4Mt1hTG2Lgg9ZKkP2m1NQ23zfmhfYxWjYiUFIoSCGYJBScEwEReHEIqCtsBWx5LYTBHxnOT00mIjrA3CZO0GDPGYj1NgQCQmM0pE/HgFFq/qeOZRoUi17HdjGYR4DfKqxooHIVdLxX5FUtvK7cUm4LizNJbJYuys3sOMjrBGLjDUwyx8leFMEchaQBQeZQmfTFkdpdoqhV+GHAQoiR/3q9uCzRJfnfs7ZRsdiF1VWkGqlpoI7D9KKwO0QGSfpJi4shB5WRGxWmmmERqtDOIIhcS0wVuCGZYIxgMRRMFHR4VomKNkiZCKaLZ6cH/odaCWlQMZCpY0YErUzAqk0apiNU9irY068AUAaTx4IP42aCHx7Nb4ag2QoUQRH6nFA4uVgLZsS4tE9OVrR0MRPja1d5BocxrIlmgGfWeG+JMJ3hxT4W2PhGNbGly9bDMyGeT9RmZriKFmSiZK89kx+4qmleQ0Bgtf75heMpXUukwEArJTpIuJpIxjBoECiCgBxRlaeZ1qC97uWHGBMRr1KGZLUDiaqQxXFLkiBI1hKbXcXKw2EH3MKMlUoh7eA46ZVq8JG+DwcFA4EVYZyCWm8FpMSVgz62MHJSYDh8MCSUw2/sBzUMpnoWRlpPi82cPTWvGp5Nw5YuUgiSVEZf/d68BwyaJVQENEbzhrMWIlmbEaMQSkhLybUJuu8Ii460RgIO5QyvLCKgMfVA6byBH3VpQReTdhhaMAZngRPQtPfLIki0q4ZCaV2LTgQ6wFaGeFA7avGSl6uhlO4Z1JOJkphHMp24nwUc9HKb3D10dBaGvtLTF8jDWq3gQFkXJvRQULKZ/CgCgAsuWWqjgSfAAKldVMWHZMN4qDLtGEkmRjtyQefLj20WrnghrlSo6+nPsjZC9EYJZspv0CbzSIkDOklpXcjs0M3rZWj17QyHBlM0fvyEMOL+20lsUwdTRDKeph4mGLEii1ColfBKizqm2YsEj5UZNNlfi+piFlZbDxdRyYkFHumEICpmyVqcVYo04K7QMIqxTV2FWVdHycSsmEAGGhC/y210BlWDaPgK2UKCOzCG+qChe2FsNcsmQz8SIViwgMSwDqZAYQq/KXTClsqfg450k12n3ehC9WZlAR1CMy4eANktiGDZUA2XtRmCT3kICmGRghmiBOCYD5RnGMojAJlBhFPSxIfHglAMCig1OPs4zDcohmtGk3sddwJgh5coRkNA2mTK03gW0gyLFi2deAS2l9BgrAv0jHhsV8zHyuiPsSYaAd36kRF6GEFs/sVR9cSkp1Yc/Z0R7MCmUXAOAgGOiY2fGmvdEV54xKuKS1aJG4SRUN7Cwm+HQDzrBFDWiLoowqx6BVSoKiWUFgFhlfgMWjdm8PzgCD8oiRgBIQ2wppNzDIzaPtVWSLNuqs56RbOaSYRAYevLrg0urhqhQDG9/xBdLiylBYgiXd2koJHncJZpBXQHnaWjB74svFK35r9ifUQk9Ye9Vidr4m/FJn3inDUkmoWeGDqbTAa9bxsPcabqgAIVaXSTdgOK1dqMLYVMJu4Wg41t2i3uHOKkZYlnN2hhT8zhApD+KiCMQmISG7cfjGxINSZQ8wZJaYvLfuTkJCa6rIMUhhEk3njkRqOc57plemkid6bhx+MMziGyyWnK9UsKpOEY50vfTUNtpVOC4eJpYl7Jx3Ciqk+AgyFj4yWZVrxGcGK3eg3d0YNR+W34Vk/gu/e4hPxZYWCF7a8fpnAzC6HTILikn/jD8GNuc1iAA1H30eKqNWVBEKByiKiOtZucXR1YKV817AyJaYQTeDsUl8PeEDYcRr90VQfJfwiqY0EQcnBeEyqxyej18VXGwVlQkgMbdVEkYkYqokwYqxXGCOqUrEdUm2+5EEo0IXbSEBEoPPbSyDKGCzMTOwW+LTU4EFTnES6jwVm8Vh167WRjkCWu6LxOpVtjOIHw1qMVz4skIYMxPIPLDHRDhI0XoxsDB8XGBEiKgtl5OYqV2HbRk2ahZolyxKm3l93pwokhlCCSmswsg9KxA4Ok7rbMs6d2CGyJ4ZK1wAVWSksYihUv6WSqyg1DCK5pqc0x9RNpEr7umfHW7iHqbA80+fBQLC4mxBsvi7rAWqZEbBkofsYVRum5Y6BbERgC2DyJonKGWyMzebjF0INeygqOBI9tGELkH2yiWWqDAdpobE5MluTewGWwHwSekLRoVgKQ4bJbA7wJbgZf4jiCQb3upRrL3NMK3JVBVQfA1TKamE2EwFQQjlKEUOFOUOojUDaJuQs3cAlIWEP1FKTNa/NKJN+U5A0agohFuTONyViPmYlllJHS8e/AoHG6VTYBg0AkNqTJDxE8omoCpeR+bNohQgsEEsqxg4gkKG//9Kdhx5mj7WwW71PgJRw4KyDLfbeDgbxe5Y4Wx2Dw4Tx0ORYjfslBngMiwmYDEFI1S71Ys3eycqmyRSrCwfQxSVFCChHKAEgwczRABHwRoyuRMQl6gXa6RQjAGBIYiVkRMqcqSuKjus+2xXVJkhNPwDjnHBbmBoqpiWBg69iA1HZ/iYDDU6k3jN8n1BLVPg1dHTwGHYsnpYXgMJNLOFKk+J6qqSF114McoRPETfeRCKIgx4sgofeDAYEBCxMNvOTwpVWobCS1pRLGFVBr6Vlcd0vUGYI6adFBGKKPNfsFnNDQhPIuW7MaAlixAExQMGMzOHiKidPWn2IqqSCUguUBW98HAz5MhKQyU0EADQkRC0k9gTm9vlrGiDxghJGrswUSLK3cql7GA0PPrulsz3JlWbIlrZ4ZojWmFul1ZkqohmYMItqt1j1srDBMGtUIMYEfo0YdpG/cvKjCMEg3FHYCCENTdDGwODZznWI4aMriPABFjKbLXYMxmhOVM0eqEsM6uCcYlhlADcfzaAkWRJAMQK8YOBYW3wtiQzmAtGUjSq0tmBxmzc0TAVVUkjUoMNF3jCwZ4lgzwrKZg8cjx4UgDa4q8dnO7xTcLFdqMMD9lhAITnyfalIQD6XwAAEABJREFU6HDXCrMiT+qsdSfYQyEJMAWHckmysX20gulrVIDgE6iicBS1j49xEoSl59jgwUtEbZ1GuxgfKHrU4ToGsJB0PCcGJkg6Vu4Ybj56i5bYTABMh0iBWL2jUg9kVmqTgZMcKqWmogfabQdIk6sXoV+EDEmyxLP4cNoNPsJQrOxmp9OCRZn99VNmxB7tOSva1BCX9qpqQCaTMDsCXUJd9k5M+Z3O2o2zDKDWZcswiPwwRkd4l4Vnh1UENhcABgqIpwhhDCHZlqDqWeSKgkVoECHw8GAgGDSEZibV8lzK/ASAXwSAHo6d7aALeP+sTwoSYeUegzmouJb3gFoMEQwaOygLZcGorZyHhDffdxLBIFvKojUqoiwzgqysQhS9WuowtmMNO7QRw3xgyAlHI1LYrq4iXZSGKeLQVqC4y1EPyoWUPKYBZbSGIVblV8JWiF2YjxYBClcHU+WEMDw/rUv8UCWGeXHZ1sQAxCKvGBXfOIiCXGZGGxCCMeAzBp9xgAWmuHu0a9QgMlEs9mmqUpcLM4p/V03UEu4FDCV/RKHOZszAQhDEdGf0F54y5gQIgwZLPICROSo2UCSKvpWVnxiKcjA2RRumMvHED4eOpW1qmUo1UbjbEiR7UG35pSTVSMCkwX+ImNOETU3aUg7SkjZjlJBGYCgn1sgqlNUNhEFpKf8LeJaSpljFqDDh1/bsopVmYDNeGg6J/QrRMpAwUZcYKMwiIw2b1Wa2gGpsDJ69E1YCYUctK2O5iIw4DlOVhjOkzDx0cYoB3oQAYhIQR0FMuVcJxvBiYIR10qLxMLZdZOErstmrlooRfmKIhksTE6LMSAexqgd7UPAIW1Kw2MKB+6WAXMCdUckiOInLNCQ3MdkppGqxLBpCR+shISBZEs/o2T1KWYbNqkxWY9WaKXP0pha7NdPeqLwCYA3HIxsgF1ZUjUwZJeWA1Hu3AFAHny5jAKUyStRTedviir6QJULMtU1hQgWSMPDOiLKPztHgwnZEbA0HxXWPArdIEvVXcqEg9eCGozcOLCFCEUNyk/aF7BhEOGww1DVAS1plSGG0HygXa1HJRpKH8SwYpSRniGGZWZlpCHasUOCjjk1k7C6Qv4SrMoqJ4sUaJCVBcWHBNKVh8R+ECFlEFgMNQaBKVNOw8IWV1WpY5QpZhpTwxJLxlcwQlex8uQa5k0WNdAQJtEsE4aOBqw1YTMZACsVP+KPCnORICoJrDJo6bIzmTItd5H+/KsL3m0dnx+AdLNkmoIlXJGUxSw3qsDpSxJl+BqOelGF42+Lf8JkRVM7/3TpcFV82ZYIJySu+K7DJKbFT9KjZoDcOn58aAuVPIqALlld6lNQdWo9ZMCuBi5lAM+6w6+dwDDgh8l3K6xk7LcFpbQ3XogiqPMCbIiUqEE48EvuVM1KEpEQugMowImAbIcrEgUWuHDR7r6m5MY3ijLCiBVsrKIdE98FzHDZ6lRwcKiCpoGChomYWadiKc4TYEHEGCR7CppyvRai5GgMUUZya2GpYVttTaQqMiqZwAMTLHqJBVXZp4CG24M7JhRztzzcr8QdxRCf5/jYjIk4AEkiSYakjegSC2STFET0s4ZtRZhxlmPSnmqsir3qAHBgtI/JAk0rxKVhIm0wERw4wKSudpGw3Q6slmm0iTKYqcHR1klCyyWVZlEvklAoHhu2hA6o86HrlFVJEFp8HCSdnIlAR2UWpowLlwoxYTHlACDxYRkeaWq/uqhJYCqAYV2yoIEsIxcQCQozoilVKdjHQ4DPZHXFsy/yQYAxQWYOiJJQ8Igg4MHChfMZM4ua9nIYGzHF0hBjYhWXC9N6UNtoePJBknGBswcpUaGIjwpq61GMwU5IETAwWCEbi4MCVTeLd+x9lUzZQ/T9ejV8OJuHbNJlH/ueoQ4WRjcumqkIPw5Uw9aoI6ryOis2JJqioHEaUhhFN8UFIxbA4xhRbJJ6IleIVWzNSlkKmfWGpHs4y4GZkrArM2kgC2pKGhYOVsQoNp5I187JiU4LnMmyLEAAhtbsYxbMneGzMKJjhZ/XqZCi8oWxg3TRQQGxKE/cADBoEZ5HMfzIjBhxbzoWOSdZuwBAZ2eGC7RBI5uXqNApePJM92KBGJB7YBBnRhdnJlNzQQVLUrqm2lLatoZNkjKoYmnbzWv/zXxd9w01i87WODX5GwgarCh5I7X1b08pG9ISdE9BKPcyZeVhjwGwsDw9JZvRkI0i8+6TiP5c3AxGtx/Aa1VBewpOyLA23onBhI96Aii/urbEyCjOiI80ohBObkWWbQLjYEUA10SacIBNVjD4D+JKRSDPpDVwOytOJCnqKTxrxwIQ8TYEoVVxg7A6PqoOwP7TaDdKHK04qK0Hw4fQRqvgoFUyoyKiak/IzR5WnmKpw3jPkbxVfQayuTonvPmUURUkYVTVapBW45VCUozEy5q1oT6XR3PDasll26+IFUVg7RhEYYzxNZTRN1f2hSvpJUJAQAHbVTC0Ga4FVN07xKUVmBmziUji5JMQZvkpnP9MlWko8kYhKSsgOTxDaA3FOKIufnFBhVUagPHOUj6gXFkuJunlB1DFCsneNYPsUUJFEW9CrSwovelpOeDpJeSkGKwSso3XxyTIVY6Enmna1x4oKvDgnRWwLocpCx7EKBl/8pYFvqbLNwkrJBE3T4AAkDw/7mkfFJ7qEzTVdWz78BE1IMbireMTM2SFPpXWGk2bPPfGBjA4NC9RKyx1JFJbQlTXVKoc1ubi2umkcFtXw2z0BQJni8cXfYkxKYoEvWsmjBEKEqKqIwu2MUgzunKvjiJ7DsDMFyT6DrubpDKbkKfZBmVXs03bqYSFgEYymsRDO1Be1BCNcaEPsWGeZkOJBgKLWtFFAGjkKtQTQAXByyCa4qIgqSR0vIyZRY0RhnAdACqVAGTzJY+QJZwYwjIk8swoVDCRld7vZbCEZunpweIEMKWyrw8QEjncX80RNvdQHaQZt51wiBg3G5us/5RCHpKsqkEu1ALvZhAM1cDG8QNHEshikYVZU2IhdfOwo2kWDFAgHplwbIhA7GkeEMSee0N4Qi6YNGYSEmxnCg84RieIiDCYa3tVyBxE5rFGqOSdCEmazU5pEV2okMNFqKlFETU5zATuRXR5GW0mLCxHgwnCn4jLijCxgsGCDdqwCuasLdy5GFGJUfvbCB5otOhXCEUBLQ+5Z+eQRH08iBdzR2I4qn5vCK04Se+BAZz5qEaq4twQibMdhnURYWC03XEQ6QiBz6MxiABUpq9goGTGLPs8KYjBP83cU8bYWO7Xlrba4kXVWUnBebMCFJfKIzRgm+BD1EBs45cnTNF2xB7cVG8iVIzQu0IyalZpLHBaiCS1yEYXgQcJJGzhFb2bCdEtMNZ2UtRDanZj0SioJ3KRVgwuJSaIY3GUTjIBklVTGg6Q5DVIFIHzxq8EmUlXEBFNcBxKeGBHjjjA1qybQYoRlgRQ1wYjJaxD9SoUFQkziItF2MSUKLr6w+IuBRNgyoxkQ1YMkbcLbCascHVB2VE55QWmaxoPztBRyioYRo3lWUW82g9oU4DHi5PxoJJv+RGkLfHrLaahcKBX4LC4JKcUnIcFX3nBy8zhy1uwI/6E2MGEiEIyIXEQLjPqLBw1l8dkxC7UQGV9hIWTjU4fCxaq2aLKiig8cEnv2aJFyq4qwuzDUnEKwAaOGkMGa0SlEbUSdwh+SDDYtpk9OzhJNc5QUrKxiOK+vtWt2FCzWKYKxmZyU8HVk9chhgaA80yJKiq9NW6mwSjkCKoSk6SKNh+gkPkGiB4xWBrsiotPSYGpVPBOLqFJFG3szmwDaF3WJy4WpTIqEjxNxITpP/8KQCS4VsqmEExWxokwssclU0Dz4RXFvzZpQksbiwsOqcCKCTE58bYwlzKISHspAQ5Vs/DgA+QqBpmQp8R2w940LPFbcmJuq50xF6Kz9kFJc3/BJnzJE6Mjo13I8W+q7QA960xjKDFaOWh2YMpcGJZrMBC1ZqJOCe+HWggQQLQBZhkrlNlJEN4DWsP1WUlapm56bBwrDdtLDuIObKpRhSBFuYMMpLAvIAPFdbTSti0JuOZ8VKclJUSiJZlvmbhKZ/Vb2Xs5gt0Acq4o6jQmJoocGm1QKDUOJBICDbGC4iazwLBDXPGLNWXwAiGUQ0IDVmCIF8XtDNkioBuFDGCG+OlFwjvGQJ0EDYscFO7NO/LNSjQKslrG6ZqFsIBHJtKiWHjAyOHLAkF/q7sQBPBl3pDIjMxXBGVe6pgCrTAj6iwLigOgThsJQMwUbp655Gwf0xS6yVIHuEkGgQNKU6RX+s12IRXRXJxG9L5WNipWjE5eA0nGcuEhYRmUGpdK2xKAGK6448J4ie/Z/REKUeFfJdJ18skT0ooowzoAZQq8e9gC3waCBKw8sKstuAHUQGHbHlCiOlGjYC6aiCsFmf2BgMeELUZbEL3igYgGBCbI6a8vEw2V3jYjVeVs52IWKyDFKlkbFUNSJGu9I0fdPOoabqV/E47FkQ+ZaEoYCqJpQw3RJFqNY+HN1AiJhYK6ggHXLKgmLeIW2GCpOk5Wd4bWOGieXQVEqATnbHRgzb2gSi50UbaMVnB1M5uVAAjZChqmuk9gCkOxTwDh99GEmepEGHgIDr2k2AsaxyMNiFFVatqUtjwuu3MrEoDr8VEoYfnYYuBCCOWCJmU9oNcNUol+UldgdSj04izShxK6TsJXwwh3d6JzMuFQhuJFUgZCMBhgJ9YiMDxaZwU4tWY6+EsMIEiIM/WTGRnuVUYrMw2plar4DMinDI2Hg8DOD/Yh0VFbSFGeGX8Gzlep9lYaIJrrVTMWaABw1ZGqHCKKdoZX0cV2QNjARAkP8SGJe3SRQAjt/4/CgiJnWYB0lT2MjdqvKkx+ALYY5A3nblSAWj4SSItmYzBtP8eXgZpgNXs7QFGPDXDixT8dlFnZR3hSb4FqyiaRPfBou8X5n4+y5ZGqhEBCKfrEE4mVUwSYuD/tKEWBAIsPgK9QQAr7FE0eSliiAwNiZSc0lp+3iTPNbIo0gt7ASbLK2RBRiUc8sWFvZNiJ2CFPP9DhJKIGtAYTp3RaJwKBJWALARcU+lWpiq4DEKPrWdiPEKnHhJ2a0HFj/akWxFJxWFYdZ9B971yARWcIxqXGxsBLC6NgPC0UUDxBpBo5uYOU4w+EjuwEsQiWb/TIJ9Q6p3r2xOiPuPEIWcpGw6GolEZNEN3ksypUnEg+7kWFBoiOvl5QdsMOJM9tqmpXTp6hiWyCL7VM8HDqiSzvf2BFAJbAI1dmyVjWcEqfYz4DJQ1mSQJk/3VjWNFfCZTHK3JDmMOyQ4vdbyou10C4rbYGXa6NeJZEFW1E5auTuBzgDmFInMCsARKENFXWHp6BwVQLCw+UErIhcsuwF04xIoqoZX9tDVGz7QAZeYsK/Iogjy1pIGErKhp1EzkhLSXS8ZXQRgUkWw8PQgYrmlCwbltligxSQulxJJ/NfM0HEaZcAABAASURBVLItcVPFxvpWUGtRgsT2MEHVPkUQHqEgLuiCAzMn7rJRIuEmPu2VtfOJTYiKCveQ4iUP4IkbBuyQbAeq44EZndpJjBZYc+LwbAjBxJG8CwMWrjOQD5vZL3WWFFMUyqiJoWFaM5WDCc/eKRcQJTE3UQmAHVs1m8u0+JRAEiWFRERCiWeQj9UZwx3PxgxhFQ2mQwgySCOistUEwNSYkMYTQJHCSQWiqjbeLKRk4VvOKISsKKJlUeGuQnIh5iSiIRBHiCPWtSFXbiYYcpKr4BxLzcbmFucvRxRVRKsSnuIzY5GQQMIhS9RZ9zJ8AREPTswYqL9QpALcZaUyFhijxGwNk5es6oE6KwAcwwHDiVhiS+LzvvQTvYm0s5mhWJXcylyxmhDNFDp4syWMJK6YuwWJyW6dMkzYSifCxIUe4uI8wqMyxCBwlTMQcCKoEk0MA4xv2G2qjpzoANjFkiScFU8ZXhkwlbWfii0itW08N8ObUQeuzdAY2vEGUNY80BzihwP2AlX+P+PaiJkyCNM1JLkjM1FtzTm3Z05tT980PFGTc4w679AnTvi8Ezqf+aQzn9AFh2HOPznOO9HMoU4eiqroBY7Vv4BQAyRN9FDHnKSByDdEeUcbKqRgStaQQc7hFG9VXHreDB9uxmZkj9xTNqXabiz3GPaAB0m5nR4WhUVEVOYZqqPTp9ib5GLn7F9KThgWV66OhMPBgc876fNP+sRBMlLG8jBWSaQH3zuS5uB2GZlNzcqW+SKgb5I1eZ+yusbgXHwwOCkxiJONlURqcOZpNrZCRyzJjOabVYHCg7M72KApW1hBK2FAz9qeYRNwaGwq94FFW8aAr421MZrQhjbTMJo7j7bbm2RKhUzQQhCjJMwudidMELffE6Xn4aFOHPrkgbkGhwcefVoyHmyTRHw2JkprmME0xtiYsjcbQQcj82YIzcGm8B4GqtxhggjeWDdOqAP1xXZgKA+GDwexqdSMww1iwBaDQ3VVwU8WVqqfOtrq1Kmb/vSP3vTyl71U8yg4Lh/YYo/JdbAxVSlnLJFOUdreDBio7Dk8N9CY5B4D/6PannJtDS+Lgza+PANHVRHzgpObC06Mm58cNz9vc7OTG2boZvDnDUToghOb808cnDjAhXplj82Gnvhg6MRmHGzGZjNOHDjMMKCUa4qpmhw0G2kFblb+S/5oio2oItlsZ1FYrwEYwiRnAmkGNeOCymbCv4yqVHYJVbnNTEVEV9ToZYZQwRSJU6fgG61IO86GKTEKBg94GJemFAZnMQqhkkGjtRxSgcayiDDoBQpQDEgEwQUZHlXFJ4/W2PtjDYxTHcuwZrzjxBKriIxDxyCihIwjJAYWZgT3S4DbZtMnFMpTtZG6M0Jb2RqhndNdseSNaUry4ytA8own0GlbVIEHhJMqoVyguGUEob4KAlWNwdvJvJZPHhJSreezStQyYVTcWJgq098iO1ypptjZLhRcoYiGFZq8AoE5rd+4QoObLC7k8C6ga8IfbnSwGZyQwVelKPVkUTMF29MKkhnDxlxp8YFy4vhA+TTBS7LYOxFIWgAITkFdJtspqQ5HfIc9g/XQEFqXEb3LrzLQg+HDA5889MkTPu9gnDzIFxPfTSdObE6gQX8weLeLblrgE4Z/SLJIak9C8zmmWvrGb3GEPDwYhxs5Q5IhlMXKwzwSI7tnB+Z1YcCEkuXhNYIgvIljDuv8k+PkCT7+vnleAuP883TeeeO8w8FL4OShTh7iRlFTSsSiGo6MXMpZ87JlLwQ57wQuefcinn8IP86P5oBqN8a1K2IbYo/IHkPkPf+kLjihC04O6PwTvtlJX3AiQS44idUnTxh3W7Y3FkcvWSJKnTwAJlKcfwL3ON7sPN/svMS54ASpN+edGLQdxylcIAk/sYWdTBOgKerhFol34xgDiUJDqDny4rg91USXlzkBAiFoTiyHDCsOcKVAOSxSN1OGx5C/WnTE3A4CNk9AuUxVE0iCJi+IHdtLkJQKHzhPuFragofcI76oLXFITDZTiTlkXMhCtmjhgCczIYgg9LU+eISoqi0/conPnrYTCV8RiYiFLniCEJHqRWOgCYzaoMoQnVNJQCfOKUDC3bYMhz4rJvzyyQIKRd0PxgKqHk4arN51Bss2SXAlM1BsyI1tNpmbmQwspCkKAk+qxlM7FJYigZLCLCsE79GVG6elwZRMiroZ1OB3s3f52oquYblMkrkXYrApZ6QhHHfiRRsrBXSJRIECKEJDhbfgWflrDvAUP3dKcVi0g6WU/yb7K54WikPCWJ1mdzFLhBIt5FksDGURl/YuKExEDDSHCkQnhHJZiTAQYpVgcIakZGXeE7WCR0oAlibevFkxLJcIVBFI7oe0LMy78CSrhjI5OscFbaDLYhmdmW3DCU4ZoFBA+CIjxkmKhpnS6Uk8Op12XKy1Dhd9lSYac0LpmxhFV4WzGJWCeegTkuSAaxeqcBZeOc48YqArliZMQXIdiVhIWPYErjGmq21FKpEmVcJTk7Q9c/ptb/2z173m5W94zSt+99W//fpX/tbrXvlbr3/Vb70+/Mte+4qXvfXP/vDo9A0nD+r//N5nP/mbH/eWP/4Dfl8qzXe+/a+f8+M/+sdv+n3vPteEK6JCJN7OLXTmzKkf+Y/f9+ivvuqv//LPlcy64SMfeuaTv+VJT/iGJz7+MU98/NVNX//Ex3/9t33j1U/6psc88Zu+4cnf9NgnQd/8uB//4R+89pr3E1Tz6CPXvPeD73nnB97z99D73/P3Hwzzd+979zve96536OgU24H+4I1veMwjvuqHvv+7q85IxbG8791//0/vevt7/vfb3/MPf5v5f//tP/3j321PX/+uv/ubZz75W3/wu559eDg2nj/z4z9y9dc+9G/e9mf94vYH3v+et/+vv7jhumudCz76Q6LrPvyhv/6rP7/2mveRiE/Du9759qsf/rCf/c8/dsNHrilGtubifGHsmRMRX5bXvv8ff+UXn//DP/DdP/Yff+BVv/XS0zd++GCDLV2qRqYnVm3PnLnputM3XnfqpuvC3HDdqRs/cubGaE7fcN3Rjddr8n2tYd/wkWvf/MbX/+5rXv7+97yTr0abT24RZJZnEXFynNuj0+pR0aReLsdURYeqac46Ojp6w2te9SM/+P3v+6d3AZJSNkGIeM373/f4q7/u557zEzde9xF7/OP/fuerf/s3f+cVv/m6V77sta/M/PpXvuz13JBXvex1r/zNN7zmlR9477vPnLrue5797Y/+6oe+42//SsXgyknqwMrgZrJQRHWpkx15XvPef3zuc36KQ3/81z/i//zu7/jrt/7JyU22KQ8P/cM73v6tj3vMz/zkj9900w3lqjnf/r/+8lUv+5VX/savvPI3X/rKl7301dBvMf/6q37z1171m7/6R3/w+6duuvHgYPOCX3juk77lG7mohwfeDL/zHX/zB294ze+/7jW/97pX/d5rX/m7v/MKiOv92lf+5mte/htveuMbNga2+a8//VNPeMyj/vqv/sK0lW6weFj8B1fcedTW9qYbPvzi5/3c9zzzad6eOXHggw2+AjVrvuWP3/SkJzz2da/6rXl0StLpm65/y5+86U1vfO2bf+93/kcKeNUbX/vK34de96rff92r3/jaV73jr//iYMxf/e8vvvoRX/W8n33OwTBetdpXDE1Bdf2Hr33mU77tyU94HJ+LJz/h8aT4tm/6hm/7psdCT/zGx0Iw0BO/+XEve+mvjH7NXvPB97/q5b/50l960Ut/6YW/9ksveOkvveDXm/m1Fz+fe/jB9/8jKGv7R296w6O+5sG/8Wsv4c5MEuaQrL4qnBTFwLN5dicagoq7Ku65Uygw8HAoMbUenUGjUbtGCYNgsMnQuyMXSEQMrUBixVPxoAWScqPxtZig4kbVSoymGVf8kGKqAMUcZZtxii1L14eymhFzdbK245M1fllTSHwUBMrEzUWIaFs22zMjoJKEKqxWnMzeqTg/OQrChCE9m67JTRIu/HzNh058GPEFNjSNXtGAo0v5POIbQhEjoSkwaVlCpOcjw8+btmH4t4FTnjdpe6O3N43tTczQqJvGbKrTnqcPvd1shKflw6EPve/dL37ez/7Q933nc3/mx9/3j39/4lC7hFU33vCRp33bE178gp8/dfoGlCScZ26qo1Pz6KaCgWC47cw7Plbz6Raf1+27/uEdf/C73P/XvfmNr3vz77/uzW987R/+Xugf3v7XB/xmMvS/3vbWZz/9yS95wXPPO8jvY8MagvhMFSmu+9B7P3LNuz9yzXs+/IF3X/v+d9103Qc3mv/rL//827/tCb//ulcdbup//N7rvunqR77p917PLvpU8OVvhfq7v3nbi5//83/3t3+1oaezttQyJ8Gf//PP+X/98A+86x/+PjukQnyKNojmV4bo+VFtsfzqL73w+5711O955lO+5xlP/a6nP+m7nv7E73r6k7/rGU/+7qdDT/muZzzlu5/5lBc+979cf/21wlHzLX/6h2/90ze99c/e9BfQn7/5r97y5re95Q//8i1v/vCH3sdpf/jaa37uv/zUS174/Buuv24Lvi+ChaU5pbWSKGPmTXf053/2Ry95wfNO3/ARO2Xz8uGAeT9sLP4A+j9+7w3f8fSnPPsp3/bsJ/+HZz71ic+Cvv1J3/m0p3zX05/yvc986vc++2nf86ynff93Pbu0LbEjzalZCCTW6VM3/fxz/vN3PPXbnv2U//Dsp/6HZz3lW579lG99Fjz01Gi+I/O3Pve//ufNGPk3/Blf8QGg3KFr3v+eH/zu7/iB73jm9z/7Gd/37Kd/7zOf9r3P/Pbveda3f9+zn/H93/EM9D/wnc/8Tz/4vX/85jfm3WgdmG9Ypf6NDg/0wz/0fc962pOe/bQnNj3pO779ydB3Pr37+YynfvfTn/Ldz3gK35g3XPcRat0eneEbM3TDRzLf+OFTN3z41PUfntszbOf0qVMv/eUXP/upT/r7d7ydOo9m8dvFtnw0tZ3eTqEBZvNFPGyulUu2FcEU5jTTYh67uTYSNwIRGLRxBlcoi2w+whwXiBIrXT0qckG15WOXAuChVHK0nRw0ZWwbTGpiM0MqSUQZqsQ0IzIqwQ4ej8xISt2D2TYYe1h4IgxpiF/Gd0Ewan/WVNVNqKNZ+T+Nmdz+oowdIZb46xr1z3KUaCan7Fma4o1Eo/jB2+zRsEq55IVkW5GZNTFSS6wlwFAxpgiV/qiBBEEZe1HG7KRi3vYZzeqk05wdNc/i1OZ2O+GPJsWL8mZ1EZaJWIRno8UDFSrJDNELksgRmxfoQZFVnaIIEgIROA+9tJfPrFIBY+94iI1Fr87CRJqKbxUAtglSs6jN230Dt1PcAWpufeE05S0YBcl+J9uZ7I5NTQ4IE8hJSwoAbxw6RliTRh5UMFZ2ydqNMDFHY42ZJCmTXFKUywNYLCyQ3EPsQMGVokz8nBxbEeqhHiwxNp+pym7+6q59AAAQAElEQVR4TSqSbQkvYOwct9RS+E/0Yi0EViyZuS0NWFbY2sEwVkWumkRGxFc7K11QTXSzqsTP8LAqNDhXHdEhJAyotxHwI4rJnJBoS6aHRUiPIbzQ2ZuqLYBWT+FYnBdRycHP98NsC5tsGHFSrPFTDWsjk0JJ6oCE0mogs8iGLZTKiutjKdYqxyZGNGV+H7j+2mt+8v/6kcc9+use96hHQN/49Y96/NWPfNyjvvYbHvnwx6J59CN++sd/7CPXfODQ+oPfff3rX/PK9/3Tu6055vZv/up//sB3P/t3XvHbR0d8oomXtp440HmH/OGKP7yNk4c+8NFf/Okf/e5rX/3BD7yP/VfV9ddf/8svftFLXvgLL37h8yC+fl6ymF98/kte9IKXvOhFL/nFX3zxi170iy94wate/vIbbvjInPMD73/ftz3+G77s4i+6193v+uUXf9GXX/yFX3bXL/iyu33Bl939Cy+95OK3vuUPeeVwG/7xXe/k5+83/f4bXFt+ihmeD7rsvpfe426X3uOL733Pu977njAXf9X97/97r/2da695/8t//dde9dsvo5VD861v+dPfefnLPvje9/BuPRh67nP+81WX3fs3fuWXB01WUQC9+81f/e8Pvuzev/SLL3S39SMf/tAbfueVf/tXb90enVZaOtmaRKeZzEfL2r7iN37lqsvv+7QnfstP/Mh/+rEf+o/fdPXXX3X5ZR9877sOOD1Z7kiz+F754R/8vi++8HZ3vfD2d73T7b/4jre9251ud/GFd7z4ojtefOc7XHzR7e7+BRe+4mW/vnH9xZ//6ZWXfunXfeVDrv7ah3/53e/2kz/6Q/wV08rl2IoC2MgfX/old//FF/y3OY80KZTrRD0lQNwYmYG87Q/qDdd9+Ld/41d/4j/9R34uV7AKCrPqphtveMNrXv22t/7P06dPuerVr/jtJ1z9yMd//SMf/+hHLOK2PPZRX/vYRz6cC/PUb/3mP3rzm7ZHZ/7wf7zx9a9+5Yc++AGzs25HLoSQhgRbpX6DI8xC9c6/edtVV9zne7/jGS954Qt+/Vf++0/9Xz/68Ic8+Pk//zNDp4ftqQ9f+6HXvuoVf/nnfza3R3xSSMEpfPM3PPpbvuHR3/yYRz/h6kc94epHPwHmMY/idySYn/iRH37/B97LV+Nf/s8/e92rXsHvkFzvw0P/3M/8zKMf/lWPfvhXfv3Dv/Lqh38lv5B/wyO+5rFf9zWPf+TXfuOjH/H93/WsOflVtt70xje89Jdf8u7//U5+Oih6VvTD06aYD3/wA7/+33/xhT/308//2Z980XP/61v+5I/e8+5/+K8//RP/5Sd+7Gd/8kef8+M//Pa3/fnQ9u/f8Te/9MLnvfUtf7LdnpGK31Gf9K3f9Kiv+cpHP/yrvv4RX3P1I77mMV/3NWR/zNc+7DFf87CrH/HVP/+cn7rpxuv+7m/+5g2vfvXb/uKtG3NIfFrZa46BB4H813zwA89/7n974S/8txc+7xdekPl5L3xe6EXPf/4LoRe84IXPf8GLnv+8F/3Cc//8T/9kUK/49fLtP/Q93/nkb3580+OetJgnfOOTv/Ubf+A7n/WOv/7Ljztv83HnH3zovf/4ule/4p1/97dVW7ZJzeybvBCHxcw5qExdEj/zwYizNYYamUXBKECU8ISMprSGW9k83ysAsFlEGGGwKsOGIwh8fjpJ5w0GET3zjEYCZQm+bxYTkqQpLCGaBvF+FQYXk3rAQDnffBhgudCBxEg0wZsgEi6m8qoJCImSo1JbqyhTgJYVZUUlqipqSI2CKQJY/B5bVFqLwYYqri4Yx6X4MYwA0vSWz6k1eWGJyqgEmVZXkhGSFTV5NHgdcccs/sWGHxPnhmDo+UiRyxSdf718xct+49IvufiuF93xrne+4xfd+Q5fyHzRnb7oojt+0YV3+MKL7vgFF90euvjzL/yx//SDJ09oEGpTb/uLtzz4svs888lP/Mkf/eHvfdbTr/iKL3v5S3/5cBBwax0d3fT/ZusvAKQ6mrBRuKrPzKwvrou7u7tDcHd3d3d32cXdJXiCBg0EC0RwCA7BXddm5nT9T58l7/fd+9/ePt3V1eVd3UcmEnP62C//3Lzi88fbou/fvl6uSL5yRfLiXCqL06lI/rKFAecpW9ggyxfOV7ZIvnJF8+N5Wmy/3xf/865tPToi/1t2adeqa7vW2Aud27fCdli/ZqXLo7DR3r16cfyXA39f+t3jZngIp5BYzBqeXTh7unGdmpVKlqhcqnjl0qWqlCo5fsSwmM8fXz97sn/Xjvt3byMUTx48OLL/p+f/PrIUGV7SDiCX//h9+qTxV/48rxRBFNYAx7gijfjs27Pr7Zs3WCC4Y9aAWRB5s9oIt3mK0IBJjhw6uHbZsjWoy5euXbls7crla1euWLsKdeXaVavWrlq5dsXyY4cPYP9ClC8url3zxq0b1W/dsF6rhvVaNqjbsn6dFvXrtGxQ59BPu5Tob58/7dyy6cBPu6PxrgUFAqXmyIZtDDcwZBRCUcz+uJhDP++eOXk87lNuCwi8GFjoXUq5XKzYvnn1763r121at3bT+rWb1q5Zt2b1ulWr18Kq5cvWoC5bumbZUpjq92tkl3lstcVvs1MpJibm0L6f1q9euWHNqg1rVm40rQE2rFmxfs1KU1ev2LB6xYlfDhMJ2AWdEEyGbcT07OmTVUuXrUJYEJDly1YtX7pq2ZKVqEsXr1y6ePWyJcuXLlm3etWtG9dcFinFlkKx4BvcAPzj5s0b167dsHbt5nVrYf/6tWvWr3EsX7Z8zbJla1csW7t82amTx6Njo7Fkm9auKlsob9lC+Ux2Fc5ngCL5kH5H9u3Rfp/P7/3z93N7d2x79/qlLYJF82nl18oWZWvC0NZakRw7/HO39m3evXmNvQkziGGPBLiUx8LDicAyZTDkcavgABeQFhJJ4cfPhAcYwg9xAW784MYeF7kVKUtbSuOHOJcSp5BftNaCQPs13hG0X/wGsM3AjDGBWTGpJYINJRYRIuPBRzqGeRrZZyJjscfNwQHKjRgpZSlyMVmKLcv5KdhFbP4hCLJYWcwuF34btDxuUiyMc0MxsQ17PMYpII1qLaKFcepBCILg5AD7tda2JMDOi4H2+Wy/bdta+7XtVG2DU7ALWMNk0RCNeyistSxjjyJTFLPTCbNYLFBt4duNEigyR5FojaQhBrGZRcTgqREFaZDqF9KaoM4PzT6tfTDJqSQaogKMF0qxwBBjqhhdWB3sEhtOEaQa5YItI0LAmvyEZAMrhIcI5jErVopYGyrIJSFC8LVic2wqxZYCFeQwk3xHsoY7DE4jgZiNvwQpigjxcLQINNoIkS1a2wYArP3wAVGzbQHGb6MRBBeatWasuDaPZn7RXhueagRcxCxWABIAKcRag0FDsFgukwNC8ujR/ZPHDntjv1gMuxnqnXkDGIQJCMM1OCCAmRSwmgmFRci5WDSGwvCIAArDCQMbL0BCoDOdQRO4QYtq5DhiAJPhJy1gwIi1DY7/YEg1OAIngx4pyCgYkVFoQELRsCSBA4OEyoRJdmDNCb0JOiCGJewUM8tQa3r6PkvE4oiGFwRzwYCAKdIKI0yyWEpRQsEckXEVLMZzRxSDWxlnnBkidA6dsU+0NjOgS0CBlMlgoJSwPKwJxcyZy3bozHoQE0MB5gQgKszHgAy9GIASYkgYCKZNT4GBnnz58lavXq1qjWrValQvXLSQNz4uICAAmPoNG9Rv2LBE6VJBwYHKIhtP8GAR+EjQo7Xt9cb5/T6YBt9FyO/3Xjr/28bVSzetWrp59ZKtq5dt37D65Qt8RLQZZ4yzxLZGOurQ4LBBw0cuWr02atW6qNXrFq9at2j52kUr1ixeuXrRylWLV61Ztnr90DHjkiRNqUi5XFZoWHjSZMkSJ02WKFnyREmShCdJGpYocVx8PB7HYYlxExYgrREAMzBWIvqx0d9iY6KDgkPCEiUKCw8PCwsLDQv1BHi0aK1hiB80SG4RLSI2Cjrsivj4b18+E9nETITYEzrb54/59o207VbscvY0M1NCJfQ4i5CrTGAQUaT/OPfb9Injnj97kj17jm49e7du1z5Dhow3r11tVLtm3LeP+CLLJAT1YFLYY+4gjycgwBNoakBgIABXYICl2P706W1wgDtVymSf3r5q36zh29evqlav3qZ9h/Dw8FnTpvy8+0ePRYqhkcQft3H1ikShIeXLlPW43DhlFDMxLDKX6ZAaxkEsFDr6+vnL82dPXR5XiuQpsZWEbF/c15gv7+O+on7QNs5EAd6nJW1ERNmKFStUrlKxatXK1apqW/t88bnz5q3boGGj5s3qN2mcOWsWgnDoIB3oduF9VSkMsAsJBiDCGiAz7MAF3TD4y4fXLRvWffb0cf5ChcdNnrZgyYpa9Rp8/fp13qyZp48fgTPgxH0ExESEvQNGZXH6DBlLlC5bskzZkmXL5M2fH4umtZ2/UMGSZcsCmStP7qDAAGxb0lq0LVoj3cWmNGnT5s1foEChwoWKFs2SNWtsdAziXKBgoaIlShYtUSpH7jxGuLNHRGyHBxqJkOOwGB3zkycPVy9fvHDOjKUL5uGr8Ps3r5ImSbx62ZJlCxcsi1qwasmiWzeuWlgugU7klSZhiAgKCs6fv2DxEiWLl0IpmSF9eiRkokSJChYpBkyJUqWzZM/BllvDVLMmzrai/04hJBJkYBWJkqVMPWNB1JzFK+YsXjnXtEvnLlw2Z+GSuVGL50Qtmr1g0ZzIhdVq1iKFwog83IExeDj2+rxVqlWvWvOHak6tVbuOZVk+b+zHd2/GDBvSoWWzpYsWYi2gCtYKbFA43qEVFZAI4o7F+760OKwMCc4NISLWpiXSpEFGRCDUBAIG4AyJDVJrE1hSJEzIUgYFMVghDVTEzDb0EDCoIDNIbRiNLCeJgBHMoQLCDFjM2MwLm2MFIwDQRuLoApkQwmgwhh5jI5jZiDMD4u/0zITqoOg/JCekKjODF1hmAOTAaIngOBSy0aQJgog5oTUAkUbFPME8dgZEoCIUiAET/DeViBUUCcEtLYih1sh2TQrREAIjlhK3YsjECMSEAj52HCGBLJAz5rTBCrNSFlmMKnhcwyOLS7HLMtXCMyIADBV7lNK++HdvX/riYxlMJNGf3nVs2eT1q+dlK1YYOHxkxSrVvnz6OGvKhKt/nLv659ntG1ft3LIu+utn0fCLoBXaxLYFh4P2i45HjYv+8vbVc/zYK7YPlfCVwfbZvnhHu0qaJFmmzFmzZs2eI2uOnDmxQfNmSp/R9vldCsayU0iMD0a+cYeQD8oWtjXsU4EBgcHBQUEhwYEBAXGxMfExsaBmXLZf22Ajn+0Xw6/RmAux1kDYX798jv72KXF4ODMxi0UIN4MRxwIYIUDMIrEQE5mLmRUxCCxGsaC8ToPGA0aOGzhyzMARYwaOHDtoFNrRg4ePHjRs5IAhwwcOGRIcEqIFaSZEEAlaRgAAEABJREFUgpM2LjZORKdIlTp12nSpI9KlSZs+NCwsJjra7/MK4U/bfq/t9wnWFgzQBCSRBg8MMFaIiNMxxcZG//vk31SpUoeFBmsNz5SfkHYwDEaKUmDWENd3wIAFixfNi1o4L3LR3MiFcxZEzolaPCtqyYwFi6bOXThu6mxhOEIoCK6NDtnF7AoIrNOwcbde/br17t+9D2q/7n1R+3fvO7BH3wE9+w2s37AJ4oMqomGtwE5mSjgmtKRKHTF05OheffrgHEuZJk3Pvv2GjBozeMTonn3742j123afvv0GDBpSrHhJjUUk9mrxwwVN2ha/rQcOHj5+8rRJU6ZOnDJtytQpvXr3UkpVrVpl7MSJoydNHjV56ojJU+s1axUUEgq1xOJxuzxuvFdYHpfL41Ha7/304a22fQgCokCgQGZqIbNtcLag04wIs8aiuxTdv3Mjcub0JEkTpUiZwqdt20RTeyy1Y8vGY78c9Pp9fhHwENHtm9dnTJ746uUzxaJ9sZfOnTi6f/eR/buP7t91DPXA7hOH9/56bF+gxR/fvhw7avifF89ZWC54Fx/9/vW/H18//fjq6ftXTz6+fPL+5eMPr598ePnvp5f/oo39+oGNEmHY5Iu9e+vvTWuXbV277N/Hd0iwTchSYil6+uTu/Nkz8XkOQ1CyEkW+mC/vgf/84bVFfrx9KWWIsWdHDx302/FjAW62LHa7NAixYVctmrdhxZJ/791ySZzbAiW5WVYumr9r+xZsRk2IFJ5pjClaRONhyfbHfn37/MmdJw9ufv3wmvGLN4vJZpPPglh/e//q9zPHzp86+ubFY9Z+5J1SzEoh6qw4wEXx0R9ivr6N+fwm9svb+K9v4r6+9X57E/vtrUXGLxFv3Lf3sV/fx399B0rEyRv9zhvzwRf93u9U7Y8mrJxZaRF/zMN/rm5avXjmhJEbVix8dPsy2/GKtNj+e7euTB41/PH9u1DMosXYSIilCahmi9ngFSwz62HBPqVcljlfLPF/evvi07vnn989//T25ec3Lz68ef71w1tC/rC4LHKx//OHV1f+PHv50mkAFvk8QCpEVVmWUsxIIRLv109vv354hWh8fffi6/sX3969/PL2pS/uG1IFK+uNfu+Fg/A9+q0/5n38t/eOp2+90W990Wjfax2LTQTDFYkd/+3y72ei8H13eP9Nq5d8fPmvZfmhCcZEzp42rG9PfABl7VuzdNH8WdOd7Sua4J8Ff7GLNUJPiJcgY1GBJGIiQraQU5iEDQI8hFlD54zthKgRwykm7A6GUBCyUxxWUtqIJvBo8ALHDgEAwpgRdowJNNpIB8CCxkxhmRzQ9LDXYB0yIibGghEZAAJgRQIhYUBOAQoDtKYaxeygnVagFPQOjOwVJoE4JQCMbeDTmGPjKMgQYWDA4lQjhaEWPVjBqBAkrAMMAgpVMMmgYLDr72NDRgQMwTchFMgy6gScIhpRA44Ml+kNFWGfAhbBLHr4LZgnyIC1xKTYoLR5rtQcGp504NDhq9ZvXLV+09oNGwcNGWxZXL5ChailS5auXLVk9UocrMmTJwMSzrBhJSSHspQysBhJxiAT0rjY+EMH90+bNHH65Akzp0yaOXXinBnTHz98RIwtYbgIBSejCF4myleq1LBpy4bNUFvVa96qXrMW9Zq2qNuoWd3GTXEz+KFhwzIVKwcGhxJT0uQpFi5d/uvZ86fOmXry/MVT5y8ePnYya7YckOfsCoJviAeRAgamIDQAmFXmLFk3bPvx+G/nj545f+S381v3/ly2YmUcuZjVWBl0qIYTPhADZjQCiAmQCReRARmCmZQSt4tdLuxGUsxM5FyEwijoUJnw5LF354/Pnz1r1bbtvl+OjJsyddqcBWs2by5XseKThw83rl3ncSF6ApVKdGhIKG5U+4+d/Pno8Z9Qfzm298ixPYeP7j9yrN/Awcwqf6FCOXPlwo9+nz6+b9mm9ZJVaybNmrNk9VplWTu2bY2PjUaywKqzp0/8dvrXZi1bZsmRgximGgNhFGOAEQPFQiiKNMby/s3LB/fupUuXLjQ4GJH49OHDonmzO7Vs0rl1s+GDB3rj4wQZiMiIVKtVe93WHas2b1uzeevi5ctcbgvvPGMnTVq8ejWe+MdMmZYzbz6tTSLCpGuX/7p86eyn9y+de4aYAgugHWYwtLNi87Fww+pV7968qVS56sq1G7r06t+gWevFq9YPGjYCD0nbNm2I/vJJJSQyifHOYhyCbo+neZt2W3f/vHnPvm17fpowZQpuyYWLFtu2a8/2n/Zt3bWna4+eMV8+P7l/58vHjwKDbO23Jd6n+wwc8tPh43sOHdl78EiPPn2ZuWr1GnsPHtq1/9DOfQeiFi+1FGOlUQnWCSlFBFPZsQD5TZQ9V+6ZCxau3bpt1foNs+bOGz9p8pjxEyZOnRq1ZPHaLVtWb95aqVoNpSykh0MuRFAvKSMyRi1fvXnn3o3bd23avqNuw/pIyw6du2zb/fO2nw9s2bMPjnsCg5mJROOHMvxSevf2Ddv2/Z/MZFbEgUFhjZu3adIStW3jlm2btGzfpHW7Zm06tGjbsVW7Tm07dmzXsWPhokUt5CUTwkVMynjEbk/Ayo2bVmzcumTD5sXrN61avzkiIp0Q++J9t2/c/PvPP+7ff4ChIsUEFoXMYOgjMiZRQhETFqyiJnYQyKEEADggDKdJEsPBjBlDhymnYh6eAakMBC+hDC0hDEh+4EkLjioDGAKoYsVsFJohmVnRUOiM9HcySHbGpoFm5gS8YMxwHijHUkMGgQRluAyNwZgpwNh5sAEAGaRDBnbRQKI3SNEOABO+6zWTbNi/C4RLCroSeI1eJjI40yYgSZSYcw/KDA8MNBUXzIRwCGQTBSA0gdLoFoj4HgEN3v/yiWANa3OzIIVphxmmIHQGqcgiTbAU5lSsVHn1xo0//rTvxz17d+79ydQ9P+38+ecdP+3b/tPPO/ftHzpsJCSDGQw4hNatWvn2zas2HTsuXbOxz+BRqzf/2Lv/gKf//vvrsSM/bd82afSoaZMnffv2lWAMwWyVIXO21Vt2rtm6c/WWHaZu3NqiTRvLZQ0aNnzd1u0btu/cuH3Xhu07h40c6XG5Q4JCunTreezUb0dP/fbLqdOHj508dPT49NmzU6ZKGRAQgOhZsBgZAPe0LYTHLkanNSKDYHDx0uU27Njz07Fff/7l1NqtPxYoVIQIy6WxO0wEAKJiRKRtDUl+m23EgdgbH/fxwztilSYiHcKF6Hz9/O7tiydvXjz1+bwEZxB4iNDQiY4SOk1agQfRVEByrXqN+gwa3mfwyH5DR/YfNnLgsDGD0A4fOWjEyCEjR40ZNz5J0qRMhAqBSpFiKl+x4s+/HD1y5sLh337/5fS5KTNmhycKJ+QGCTOTKGanklFADkzMnDAkrCH8QbLIx/fvb9+6mStvLssTiIDYmuElWr8WGw4KQRaYqlav1qJNu5ZtO7Rs275Vuw6tOnRq0a5D87btm7ft2KJ955ZtO5KTfUTQBHINNmZyBQS16tRt+ORpIydPGzVl+pipM0ZPmT5q8rSRk6YOnzhlxPhJbTt1tiw3EYGYDSsznESmYk2EUqVN12fQwM7du6ROkyZ9hgw9e/caMmLE0FEjBw8bmjtPLrfbPXz0yL4DB+YvVNSPD/o2wWBUv7BtqmrTsVPXXr279e7Tq2/fJs2afv70CSwFChRo07ZN/4EDe/cb0K33gApVaro9eI+l+k1bbNqzf+veA1v3ot2/dc+BPgMHE7MLj9IsihB1QmGGfYibZlMwz+YkZpxyMft2bff7fUNHjolH7LQ4qaVJ7Nkzph3Y95PftpE4MEyLPHpwf/PGDW/fvFZM796+njhuwvAhQ0YOGdKzW9eunTuNGDps7KjRkydOEtsf8/XLkYMH/n38AAsL4pNHDv5QqUzDmpWb1KnepHaNprV/aFa3VtO6tZrXR1uzdqVyU8eN/PLhDYuNp/NVSyI7t2m5esmipVGRjWrX2r5pne2N/vbl45vnT6/+dWnfT3tev3ye4AyMvHDuVOf2bWtUqfxDtapbN6z1eXGjN959+vgWDwPO1z2CAXHRX6dOHNuxTevN69etWra4Xo0qKxfN9UZ/cltsKVqxOOqXAz9bFkGsFjQImCDXRHvPnDjUpVWzZrVrtm5YF59x927b6NLxFiOM5IuP3rfnxyYN6vTr2aNvrx6tmjTatW0jiV8p8/rhtpTLIvjTo1vX2jVq1Kpe/QfUqtXqVK9Wp0b1erWqXzz7q0vpo4f3N2vcsHG9uo3q121Sr26TunWb1KnbvC5qHbQt6tddPG8OfGfStj9299aNPTq03bZxw+U///hxy6ZOrVttXrPMH/fNYvn34f3jvxx68+q5iLZt8WtCaqEVYawltobgRm0uuEbauMhYUFZ05c/fq5cvXaNCmeoVSletWLpKxdLVypft2K7VnTs3lEUkvn17tndu26pfj+59enRvUq/2gb3b/fHf3C6kkZEISai3b95sXLdWtXKlqpcvXb1Cqerly1SrULpO9Uq7tm12K37z8lnXti2b1/uheb3azerWblrnh2Z1ajatU6tJndqNa//Q8IcfsMo/7dplMVZKPr17NW7ogF6d2/926sTtGzdWLFrYoEb1C6dOBrgYBH/+fv73878hqbJlz9m8Veuf9+45f/qUG0eFwCdNphjDYJkBzW4SA5gLZpqOhJ0OroEtAXSm2KE0q28AwdbB3cIESRJKAqli4gSIKYEOIzFQgt4EKcCxg4QhDkawCIYPhGx6B0kQZQYwhdkAZpb+TwEKGDNrcBiBHhAkG9kYO7PAmGpgZoZCVHiGGAENN4xHBBcwMlURiP53wQcmQkXoGYwmhOgTUMLMZIpiFDKcygwZsQYP5hSZCVyoCBizGRs2ReAhCGQA8AB6BD5j3thJRExQZaxiZxYOsUNtC3lt+Ranv8VJdLwdE++/dfu21+/NlDUzu9yxPv3p07eDBw7g+/eSqKgP794oR5NRxkaouQAI9JGtteVx16rXcMK0mROnzZo4fdbkmbMnTp+eLWcuGAoWxTCDySna9r95/frpv4+ePX307N/HL54+fvHsyYvnT54/d2C0z5+8e/MSZGAQuOgKsgLCVUC4yxPuCkxkBYUHBIexspjZwkFCBDLjmdMRivEbk4TZ0PDEwYlSBIemCEqUMig0mbI8WgsYYDUkG4iETHwISGZCBaSYmVDM8pMhEDYoVgo9DCLBNDMnkBsKIw8MJBT99duFs+fSpkvXtkMndgfHxgsiGZExa7vOnZVlnf71pMaXFXJEKSMvODRRirQZU0dkSh2RJVW6LCkjsqZKlzVN+owHDx4ODQ0vXbZ8ylSp7ty+bSlVvdYPZAXE+3XhEiVTp0375tXLt69fuRR/ePMCL7eFCheuU78+nrkJVpn1h6nMBEvhMEwEiuCqgtHaf+WvP169eB4bE3PjxmWP8wIZEBDg9uAHTLcW0AuBjCTlFDUAABAASURBVEzKxftMhkTH4b1Ffjl85NvXz/iBMCQsERLmW7yOiROfX2zDwvBm1oxpfbp3O33yuMXasshKSBhipyilCEifN+bcmdOWSzVv3TpZyoh4P/m18mpVo079XHnzXTh//v27V5YiWE6inzx8sHf71v17dtg+X5wXlggsiYn13bh549PHDxkyZhS2YuPt56/eLFkYNaRfn6H9+128cBbe2pqQ3qhx8fa3OD+qz9anT512ud0R6dIrlzvO5/dr2bxh3fyZU6NmT39w766Y8IjFiJsoNpWMERQSGl6ocBGf13f0yC87t/+4edOmLZs2/bhly88/7Xl4/172nDmSJ09FmsBGCprJwgKI7fPbn2N8n2L8X2P80THeUyd/VUolTpZcKysmXlDjfWJuFVAh+tzZ0z07d1i+KDI+Fh/vGaIYxSyVWTVb42FF+TWjGhiArbw2vutLvB9VQ5doG8cesVk2ZiYCqHx+ivNxvJeRhD4RrCvQiRIn7j902Ix5Cxo2xjdsBToy5AkrTswYCMiIHJhNwWkhBDyMEVMMTHAVSGAFZxSjB8ZUQBgJaMn0RJoNwEQOuQCZMDYAMWLGxgiGEiKMATARKWZ2UIwBAEYhZWBzOUiCLQ4DGkgXM4GenCFYyBT5D8BAnFkA9B0JBKwip0CksTmBxEwQ5LAwWmKmhMIwCxTMDJwYXiZAhCLMgAWSmVmRA6NNALHKZNBMbOGPUUhhoAAwGVARMSQTYQBqrXE8MVAQiFYRM2aBNASGCz1uOwJScxHunxQYmjhjllyZsuXNkiN/puz5MmXLlzlb/vRZ82UwNW/GbHmSJk+NvUqCOy35bd+vJ47jZyO8sYsrGHv5m9du36Vr0uTJ7t27V7xk6aEjR3fv3ceD9yLFSF00AUGheQoXy12oRK5CJXIXKp4jb4Fv0dH4FlaybPn8RUvmLVwiP2qhYmnSZbBYwTBNhN9kfELxtsT5xav12w8f4rzx3759uXPr+p3b1/598tDn82qzjLhQiZgspYjI7Q5KkjRNkmTpwpKmTpQkpdvjUZZFQiYumBYhQj5jf5Nta+wjXFqLreXrly//Pn6cMnmKtGkjQOiNi96/a+v4EYPwa8C9u3eAYYI7qIoZo++VEUuGeAEAZyHXZ5PXj8peP8f5cPpRrFdQY7wavkAX1IsmJk6o4BLl8pIrzkZr4QbKCUrMNMRCkSihBK1s1DEDh8v06Ix20fbVy5efPnmcOWNGtycATiKdBAWUTgVoKpwnbfvF7xdse1iLrQ1jEqYIwRFtEXSRMi0raGVHGCmv146P93q98fiLi4uPjzOgNz4eNT4uDi30MArBZlTG0GgjsLPWggMHLZDMpEm8fsIjhJ/I6FD4OM6xPhsrCnvIYQUbrAI3AK3RU3RM9K8nT44eNXrbli2xMTHbtm4dMmjQskULL//1pzcuziwwQTKHhSXLkDVPROY8aU3NGZE5W8rUaYkQZsUQjVAaYcQYwElimGAQ6Ilwej95cOfMqZM44hInSWHbuI/DeCJi5MbXL58yZc4UEBiIoTiMTAQZTBDAiZOlGD5mzIy582bNX5A+Q6a0ERH4rgd4+pzZyu3BcjCxhcpkKbxyeN2KW7ZuNXr8+FHjJo4cN3HUuEmjxk0YNW7i8FFjM2fJEh8bo7Ufd8MzJ49uXLu6SvXqM+ZFzpy3oFKlSksWLbzw2+mfd+8YPWLomhUrlWhmgjlMgi+hs6dP93m9/foPLFS40NxZM44cOgh1hLQhDQKzxMQui9evXrln187WbVvPiYycvcAc6auXLz/w82586yTRpG3FMBl+kemFSeMGJ5cvnZ8xcVxAgGfMhAkTJ0/NkyfXvJkz9u3aHuRRLta/7P9pxpQJZcuWmTVv3rTZc/Lmyz99yuSjB/e5FEGapdhidrncNWvVrFuvXp16dWvVqV2rdu2q1aqGh4W8f/sW7+HMnDx5iuLFi5csVbJEyRJFixbBj9Mvnj3NkjVz0RLFixQvXrhY8YyZs7rdgRbzl/dvN65dVap0qVmRi+YvWzkrcmHFKpW3bFj3/N/H0KWwMI7LIuIXwQa3RYuQk4TIadbC2iwcQoehmSERMH369NFSVKf2D7179+7Tpw+unn16N2vZInmKFBYTfticO3NG9uzZpk6fOX32nFKlSs6ePvXksSMaRdgWlZCrnz58/Pj2bfHixTp27dqha/cO3bt16t6jY9duhYoWs0U8gQFFipcoUaZsiTJlSpYujZV6/OhRfFxcMTCUMP88S/HSpdNEmO+bbpf1887tvxzc33/wkDmLl85bumz6vPlBwUGLFsyO/vYJPiJiTKb4NVX9oU7OXLmnThjni4tmLB1WjRgeGZCwjriE2cw4fgvwppIZwX+z3oDpOwURK4ZswUWmCBF4/xvR9+LQEGZwJZCCzgHQG/EOgxFkBkTETiEm9GQKiNn03y+wCRvVmIc+YnIAZxaQ6RkEbAAywHekMzYNGwYDYPI/kB0kE8b0XzGKiBh/TmVCYZTvHSBmzJgkYXYMItMqxQgYsorNpjJxo4TICfAkpFHZwTgKABKKQ8cYGCQzAGJSxGxcJDIAExEbRkNC0IERWsNpklWMfCbSJ06cYGKXgjGG+tOnLz9u/XHujOmzpk97+/YNGangNlPYyGR6o0cEz7VCLqtg0WJNW7Zq2rxFk+YtmzZv2ahx09SpUkMlTEdV4Gc0/OXL59lTJ/Vo16pH25Y92rbojrZdq+4O0L1dqx7tWqNOHjUCrxDgFVY2KVuzbZNf2A9As8/v1xiLuFzm/3RJJMyMLYldKCSE6CGIMAsTwoYXWEnwlEQ7AzMUrVngFBiYmEyBGOxVRiGBRJzaFuQywXDFhMpAOZIJwnERKcQBGpnZGdrC6TJmLlu+UqJkKX2aUP2a/LbkzJWTmT+8fxdv/oETW0hDADBsNCsx54MxRovB/fnHH1f+/DNN2rQVKlfx2TowOFiIvN54KFdMYtuxMXEERiaXksXz5z1/9rRXn77JU6aBIlhoRBj7IRs5xcqQgpqYCU8sn9+/2rZpg9/2v3jxbPiggXt+3JI8aaKu3XtGLlkWuWzFhMlT8YDFRKA2USSAbOHw9nmXL17CxA/u3YuaN/vB3dsuRRCIS5MgaIgK3jDi4+JhH7RAMaYEPmGWBFazU75++vjl80dmypErt1+LNjoEXWhYosxZsn77+vXNy+cKdyeII7lx7eqMyZNnT53mjYvXmmwtWHe/L37fnj0Azv52+tD+nzxuy7JUgPNQiGcFPC+QU7QI6J1KiN6HD+/Onzlj+33Xr17BO5Ji3DB4+9ZNS+bPiZwLd+4gPwSFzEokxNnFuDMRvhEeO3xwSP9+WzZuQDYWKmqO10xZs1+6eGnKhHG7f9zq88YiBYSghPB5sm/3zgtmT/W4SGsYgBgw3i2vXf5btL1p3eoTRw66zT9tDxOZEU3DxoivO8CDpyuFqCGqRMxMCcWkFqLrDEAs2HmMHtHwa+Q2+Wzx2bbGGEYkMDGKQ49GAMNXC5ITpLgDg0qWr1S9Tv28+QsgAxMqiJjwx+BgAELAODAaB8b6GZAgD3LMLDMQzKYVQKgwlTBUikxnLobq/3Mv1FhTYfqPBVxsWMRgALCIMKb/NzYDJiLGHxSjZacQkdMzE5G56P9ZIOV/WEYxs/I/jHzHgJMZjZklTihEypismAgOo4UtRMRMbI4KQuQBkinfxQgjgrhITA9CdJgG2iDBAJSBGCChIY3FE8hBypsxM5ACHAYgMVKIGThcpMhYY34BYjZCyVAYXsIUwUKVoFYT40EER43Xz16b8P0izkuxPon16Tin4hHZ65M4fBfRmomQLTEx0e/evw0KDY1In8mvyRa2bQ4MCkmXLv379x8LFi3Rve+Abr16BwYFIyIuZA8swK4Q7BJHJ1H0t6/nzp7LniM7Hl+Y2ZhDJMwwRlhgHBlnsKjGaGIWksePHn79+uXwwYO9u3fp26PL0kVRnz9+0NoWAjkToUNyOSMiBEobQaxt7fP5LJeL1P9ZGDCAFFTwRYuGcG2iKO/fv71+7Vp8XNyHt29dCmbJy5fPLv/916WLFz9+MMeOYlLMiokpoYjTMbBEoEdD0ONUYqwAmQIiEYGhtiYESmMghK0IgODnf0PbJg2bgdKYARMgmGUoCDQIBsJAsJ3Ny4KZxAX5hlJEs/Zt3bTB7/UeO3LkwZ1/Al3Qr2EqAm9YmZghHwLl0oWLRw4dOHr44FG0Bw8cObD/2OEDxw8dOHl4/8kj+08c2e/3RrsUWYqICTogwYDav3DujG5tmnZp2bRTyyamtmjcsXmTTi0aG7hV82mTJvj9PgIPNMNBEYCKMWDF5HJxQADOKgUzEB9LqUAPB7qVx2JmrLgOsFSAW+HAxBhMBsmkzIBwGz1y4KeFc2b16dZl8IB+e3bvzZAp85BhIzJkzHz0yJGZU6cM7NF1SO9uJ37Z74+PBiMU28K24M6IW7zSQrbtgxFut4eVIuMU5BIuVqQYADjIJIIWPw75K5c/ffyIu6cfXsB/tKJdFu/e8aPWtifAzaxZYS8IsxAISHDua6KAwLDyVWrWqNOgUrXq7z9+SJU6Tb2GjStVq1WuQjUbQpgUnFXfNVpKBYWEVKxavX6z1nWbtK7TtFWdJq1+aNyqVsMWdRo3i8iY0ZjH7HapNcuXRaRL16v/oGLlKpepXGPk+PHBwSHHjh61bTtx0qSW203ChCJiKT584OD79+969e2H3/pmzpmXNiLi5727P7x7TUyiSVAIxtK3z5/WrV5VIH+BQUOHlyhboUylauOnTk+dJuL0ryc/fnwnoo1jZBrnElOI4mNjD+/76eOnjzMXRDVq3a5es1bjps7InCXLgrmz42OjP394e/jATxER6SZMnfZD/UZ1GjQZO2ly0mQpFsybqxF/NkaysFLu9h27DhkxesiIMYNHjB0wckynbj1SpExVtGixdBky+zUXKV566OgJw0ZPHD5m4ojR40qULJ0jZ66+g4YNGTN58OhJg8ZMrt2oRVBwGAL4+dOHb1+/1Khdu0jJUmkzZC1UvOQPdet9/fr13ds3zFgQJyjGC6MaA3hltpYI7nm2aBspiuUzvoEYAXLGzNExcfjxuU37jv0GDuvVf2jvAUN79R/cql3nFCnTatueN2tmsuTJhgwfWaVW3So16w4dNTZ1qjQH9+9/9+4NVtk2iYeNRvFePHXohs2a9xo4rMeAYT0HDO85YFjXPoPyFSzqtzk8cYoeA4f1HTmh/8hJA0eNb9m+o8ftQdqMnjx92LgpQ8ZOHjJ6YuGSZXFzhoG3b90IDg3Bx6xM2XOlyZCl2g+1K1Sp8ubV69evXyp4ZVaI0WiRkLDEDRo3uXXj+vkzvyFjCTsfa47IMyMEgiSg/11kCrCmmhlDYWIFtOACmnAcCRYMws2I0RP/3wVkqLDBTMNQixTGoBDCGQWkCEwgAxgznCOF8PAqZIa4HQgyV0Guszss8BJpJsXY8s4sEjh4AAAQAElEQVQslobNfUoEaEJxCI1ACBAoItMDafQSwi7QZchEgGQoR0dIeOggEg0EgQsT8A0Ipxp6XGRIQQARjCEkMLaBGGuQGkQO0lhlmFhgF5HtYAkYI1VYM6RgCDEkLErBFUhxqDRrM2NgQyZkZAlsxoghHMuHloFBR7BZSAQpKuCCMWjB6mK6eePq2TNnYeXyZcvWrVoV4FZJkyXt0Knz+ElTpk2fgUOHQGeYCPq+2wN+SNPCrPA0HDlrZrF8eYrmz1Msf57CeXMVK5gP6QJloIJqsFpuF55wtahHjx7fuI4fJ27dvnXr+pWrqLdv/fPP7Tu3bqH+c+vW7QcPH3h98WblwCaIh2iGXwgIoXjj47Rt/oGQgIAAgQHEaJ05qDIKQUNgNB1hnQGavEE0mAWREXLs0cSQSmbgMIOThDF0Wyo00JUo2JU42BUe4sbJrJgVE7iZUITEMABGdTgwRUyKmVNHpNm2e9eMefOTJk8j4hznhARVL5+/IKKg4CDLjd+OmDUTYxmZSRFbpJQwMBCi3ZbgXci2fcVKlMyULXus1y5Rqqzt929dv8Eb+yXEo3Zu3fz29evkKVKni4g499uvB/ftbdWqTZkKlfEtVsMwYhSTImwObsCoMJeJXCwBlsb71f17d0uWKg35Tx49Hj96+Oxpk2FYugyZItJlSJs+gzK7DMGALLCyZeGGypvWrcH+d7txngQc/nlfm0b1jx/cG+xhi7VFpiD0azds/PPatZZt2lmWi5kQDkWwhqCaBQ0pYobTDhLPQ1gA6CAiVqSY8KdYWQoPlwYtwsrlCgkLCwrBq6ZoLBz5EZx9u3dcPH8OHj1/+u/Qfn0mjR6WPEn4mIkTd+478NPhXypXqcYMMWybXYY8ZSJC3u3bvfPd+1e2bZ86eaJP9653bl0h0bPmzt28e9eWnTsKFy2GfWVObk3QS1BNZDHhecWteN+eXU8fPxo4eMjaTZtHT5o8fOyEaXPmrV6/wRMQeOTQIbw6CnTZGoru3b1z/JeDV/+4BC4m7Wbxfv04euhAn8+LmNy+caNv185jhw20vdGWElSGrZZq0LjJH9duzlkQFRIaCgzhEmJUACQWCYKjSCs2AIZMxGQCKgSluOHYAgymYTz4xLgAGmI0GJDCLBiElFKM1NMIg0+0RgzNtMMCGNRkaEGNYKAyoQhIIBrqADkAE5OpGBCBGXGCfhJiBXYW4JiYyRTRrAwksNRiZiUMDswwKWbSjILogZmMBTCJGEDCjgcJMYYsrBliUf+30wmSiUlQDJPhJoxNJUwxwWmCJMDoHJ0QxShmiECCN0GrMzYbB+KRY/ASNmKKEU086gGLSVEEVgOwMFBGIHAOr2kIZsIOTCkMQYIBWsGXIoeaWDNBIAgwg6qAFmjB5UwQg5xJRMMGMtYzAacUCYImApsg2cCkMQOsGJ1AM0RgHr6SYbXFPIWQtrX4SYzFoBPWhLcpm1AMOVlmhyqf1+f3gwooZIMIkd9nw0+3yx0Y4A4MDARs1g+dWVoysKG13Yrw/fv5k8c3r91Yv2ql9kY7T9gECcxoHbXQhSqCdSex3799c/XyX3Fx3i9fvty/9+DBg8evXr/1+7TYJAI7NdjEmGCG8BCiBGhzaZ/X63aZI4Ug3bmwMS0yLBo07LCBT/v//vPSv48ffv70qVe37jFfPiRJnHjSlBnX/rlz6/69SlWqIP8txZaCCCYFJUQG5IQoMkOQsAClFdku1i6ynfPNr8jPZDNshVKGSgGjEFbCAGSiSyTgFY1CDIFExPhDiw6SiYiZiBh/ICAUk11iCmuRABfv3rbl70sXlVLXr19r3bTxmeNHgt1kQS/WFUoJuSHYCKJl7qxZvbt1cWrn3l074ftO326d+nXv3Ld7F9T+Pbq8e/3UZYllsalYOyYLRrH9z40r5349fubksTMnUAEcP3vq+NlfT5w7dfLsqRM3rl7W2iQJjGQsNhgJWS4MQNHFc2e7tW87fPDQp0/+xd168MD+Hdq07timZa9u3S5d/ANvOB3atunSru2Bn/ZYFqIrzOwyeg3sj48b0q/vgtmzjh46/PVb9IAhQw8dO9V30PDNO/fsPXi4YdMWT58+O/DT3rXLlrx68cwxlYhZwQ7FFv4U+3GEsgoMCLQslwXR2BlMePOxjG2sQIkVIPLbduy3bxfPn8+ZM3eKVGmxCwRxExgjr58/WbVsaWx09LqVKw/t3e0mjRMMjGbZwIuVJCwEa62U4gP79n35+OnZ06dHDh5gsSEAO4Q1FBmzGBQsoCPBjUbibTLVz3F+/LLH8RoMTEagEJvXm+vXrmXNkSt1uoxeG8ScJHnqosVLPHj4sFq1GvMWRLVq3QZZozVrIZdb7d21K0eOXGUrVvGRlTh56o6du9z55+7tW7eMRC1iTBUE4MnjR58/fCxVumxY4iQ+GOCnwLBEpcuVf/Pi1bvXr0lDGBHUsygy9ioSBOn1m9ePHz3KlTtv1px54v0qzs/JUqYtX7nym1cI/JOPeMl7/aZMWchM6rPZL5wufcbChQvj9vf5w1tHMzGSGZfl9gSFugNM9QSGvn3/8drVaz/Urm15gvAeotntCU7sCU4SEJgoICAYU2kj0iVPmTooJHFgWNKgsCTugCDIgC8hIaHx8d57/9yxvfH4cGz74m/euO7z+oDHrLDxl6BYwQWzXwjLKYIw2BoFs/Lp4wc7LtptEZNt6Ble0tevn11uF+6n5PKw5SLlMi2miL9+/ozvxTmy50yfKYtXs89PIYmSlixT7tGDh+/fvSMEiSghdnGxMWJefkJJuZUVoNyBaFm5hS3YZhO7AsONjyGJg8OS3Lp5C2dpgUKFQ8OThCROFhION5NalhuUJJI2bdpvX77iq6vHpQIsK+bL1wtnzrjdnkSJksAXAoVxhYQYzxE1a5t/ufrwgX0uC4tGZMyG20ymAFD/QehRDfb/60K+MDJaMYvGvBgtpOi7c8CQ46sBgKWEeQ3aBDRcJ2FmMy+a2QAGZ8YODEma2LBpjcATnNCGADCcIW0IcX0fEmH3JAghSKOEIobKkWZYgGNYm9ChJSPd9ACMHmgABrvWEGtEgswEZiABlYg0PDEizEkNPGkyLfgwJ44yAEQmgUxrBgJOQUFcBIZBAWaAM5xCNlwChFiCFsIxRAWMI4HI/HBsFJidC08wjxEASHBgRxiIsQYWi0uRi+2P71/169nbYk6XNn2AO2Dy+IlDBw2Ii/1aqUrVTt17duzWNTxJUg0DIYNMgZ+U4C9aNobBHsXkVux2WW7L8risAE+AUsAR5o0/TEmTp7p45ebNB//eevjsNuqjp9fu3vcEeooWK3705Ok7j//959G/tx/8e/PB072HjqbPkJVRoI3J/ME36MJQ6Nu3b+aZwLJCQ8PgGxGzySFCy8zGSZgqCS5rDcu+mw0srGaMtPZ/fvvyy9vXfm+ck4loHElkyuQJ44vmz126cP4yRQuVKlxwzqxZEALlLGyYAREgQ286/j5ATjG0s8WuALLcxGwpdjPhF46vn95tWLMaoqvW+MEVEEiMAnJnHRnLbHzDrGiBsEf37148d87lcuHnQa2V3y+16zcoVaHyyRMnKpQsWaFkiZGDB6dMmapbz16xcXHr16wODgkeN3my35EBuZDHME2I8QehREBakOuPf/74fqfWLU6fPJYte7Zho0b/dOBQ527diWjl0kWTxo1+9/69kLL92DiwzeGyiLX364cXG1cvXbRgjstSYyZO3nf4SI0fan/59Ll7h/ajBvX79vGNi1lBB0twaEhYWGJWbjjmuEIMSZohllgzgqglcZLkSZOntG25cP6CxRrWYjlwiH7++A4vKomTJY1Inwns2EeolavWOH3h0omzlzyBwbY/3hf96ei+3WOHD0uSJMm4CZN79RsQGhq+eukS3ODv379vKxfjNHQHkDEGywCrtGVp9sdeOnsKT4Qs3KVbj1Jly9+8caNVk6a/7D+YJWuOilVqVahSK2mKlMywQsBKeNUUbFIyISTC3k+RMgVb1us3b969ff318/tvXz7AWryvxsXFhSUKd7sQANJOotWs+cPcqMXDRo/VYvtjvzy4/VeH1k1fPX9WrmLlvYeOdO7ROzgoeNOqlZ1aNn1y77YbwoVIi8vyeAJDyfJoJ42BEYElEv35/Zvnj5z68O3zx29fPDL1+cO3zx+8NS2Ax2+ePWnauMmBg780atjo9YunVoLhRIIlQWOqZnwXFmcRFL94/m/DmlULZMs6deJE+EbC2C/w0dgCrYKjnhKKGFGYZ6ydocTFggazNmktgiVGK+Y4YiZiIMgmqBZTABBpUYLEhBRibYZmBoAQ/gRTfiBAqUFJjvMYizArYaCQCFpEEwuMBBlgo4mwi2EJpgRIzJrWXJIwS9+PPoMC7HRg0Y5OQQHStOKwf5/WCT1akBExmQKBCQBUkpCJFWYZwgTPpJodkzEy06Q0cAKkgIAIIsyd0tAbRRpxEGcWrKy10uATFPAyFsB4A11wlIGUBMmYE9LazAkEMvgcWaDAFCwiwiqx4BbDLAzdZJmFZyZGDztEi9bOpX1YW4NXEBUYFJQpU+b42Oirf1/yWIKnnACL3758iT2YInmyQ/v29u7SeeiA/tHRX22t/drWIqgCCaItsu/dujJn+jTsPryPrVmxvELpUhdOHffFRVuwxxgINQwXmBAEgp92XMzBvbvPnDrdpk3rew8e3nn46N7jJ/MiIxMnSQIb4QIqrLThrMArPHCIIIqkIIW0Hx/XAgI9lmWJRvHjqfDm1cuvX74gyCZmQtBw6ehvn9auWpUqVdriJUq9ePGyVfOmb988F2W5AkODw8LcHo/C/UgRhMIwZRgJBZoQYowUmTj4Yj/5vr6P//YONe7bu7ivb2O+vo39+i7+C5Dvvd/efv30esTwYW3atnVbUG1CDl7IIYuQtrifQg58AIaF+bs2IlKi0RIxwo/q9MTOWCvxX/3z4oQxozJnzrxq3cbe/Qb64r3tWrZcuXihN/Yr1teQCbisDBmzVKxctVyFSuXLVyxbvly5CuXLVahQpnxCLV+uXPkKFcqXKls2NCzMUgoG4mzCTRmtZSm32z155syDv/52+NRvB0/9dvjX3w6dOnP4NOpZYI7+dnbm/AV4/lMgBa+lLCaXUqyQUwD41fPnF85euHjxIkLq9+uLF/44vP/ALwcOnDt35ltMLL7HX7jw+x8XLz1/9hyemkxBQgonrCkcrdegXo/evZetXn3mwsVBw0d6QkJtCHcH5ilYdHbkwr9u3h45bkLREiUThYUxsWJz37RYcKAphZbiYr4FBgWGhoW4FHtclmUxEcV8+xT75ZNov2UpkDGBUfl9cbeuX82WM3tweGJNCsthsf3l3evxI4bFRH9r0LhpunQZxgwbtnHNythvn0lI2zYqbNZa8Ke1787tm8sWLU6UOElYSNiI4cPGjxn56tlDN9uWgjg2xQAKy81Mioi1MNJImyKQYQt2C1gANAAAEABJREFUjFltJiLMEHBul3Pe40AUnJjkcXtsrw93kNiY6NiYWCGzA7DNvn2LuXvnTvYcuYKDw/22ivfaxUqU/vTp07//PsYO10YYESEVJD4+XhMHBQbCBVaKURQjRLZT2EGAhRF6UIDJcgEZGhZevXb9Js3b4K1PYDVBr/h8foIIpUJCglHevXlrdiUJEzTZX799tdxuPM6xGI/hoNkvZLzwi+O63//H+XO4tRUsXIyUpROm/OLXopQ6f/bshXNnfz9/7vTJo774Lx5YoSAYlYQ4WYrUdeo3XLZ4UbN6dQb36t68Xu1F8+fXql0nQ+bMfg3tsBudCaJGz8QWLgVDiJQ45a8/LzWqX/eP3y+QaCwLOf5++fIVORIU4PF5Y/1xceS3LWbFDIeCgkPCQsM+ffni9XoZJpBmvIB9+eL2uF2Wi8RxiZmJ4uPiRHSA2y3ijY/75ouNVgTn6HsRLIYxR7H+9uXjLwf3e71xJ48defr4vvb5IIcYwRGtyeuTFu06ZsycpXfnTu0aNejXtVPlMqVePH/WuFmL5ClSaRHEARdsAahFJ0mRPHfevDeuX8PP/kyIOYSJo1Sx6RJgcoz/Dhv0/+uCLEgkso1oAwkZg4ggRJtJ0GtBg2pCyegZDWs4KWQgYIThJTkNRgSP0MFzI5AYa8AkDMBwYpYZA1ToFOwoQmExFETMIEX8mdCYeQMQgxs7iAhqCRMOEj0WBcP/qhEhwGIWARUNpv/kERkkmVkiB9YaAwK1U82MbZ4foN24SdiBmARaGylC/8WCABFWS2BbQsANQCxGqEFgKMYHCCJKSCagMQsDQIYWlQgIYc0aKCJiZksRKlLn8/tXv//2a/+ePR8/vF+6TNnV6zaMHDM+U8ZMW9avH9K3783rV3w+v21DpjEBXsAYHKM2OoJOViRslkZjK7bp2HnLnp+37zu45+ChvYePbv9pf4HCRR1LmYS+fvpw99b1Rw/uP3r04NHD+w8f3gd8/+5dbUtMTPTDhw/u3vnn/v27mHry6P6/D+/fuXXVF/cN8qGbnLDwd+vp48ePXp/XExiYOElSJ+6wQZjNeYNlU4qYnCKGFRD8RbCNAyTaWC4vnj5pUrdW8wZ1L5w9I0QmHAwmpBVG5PN5v3398uUz9Lx///7d129fSGsI04QCMkpQAAxkYi0Iq0AEpKNamCBL4Zbw1+9nfjt+eM+Pmwb37fXnxUsNGzfp2r2n12dUCKgIzmmtEUsc9Rp3L9vcl/TJY0fxA3re/PlLlykjQkpZpDxLV2/o1LNvxizZ8HBfs06d+YuXVq5e/eD+fdevXB0xZmxgaLhfIzvFgm4FSxwVxiwgiUhcFp8/c6pDm5a/njiWIVOmvgMHlS1fiV1Bk2bMGjV+YvIUqX7es/vWzeu2aGSexiZRhBPEbdGZk0c7t241aexol9vVd/Dgzj17Z8yee2bk4p79B6VKnXbf3t3Hjh5jZWJAxGC2sVG/VzHeQLeZ1LYwHsPRWq6AWnXqYbx7+4/4yIp3OQuv+u9e7dmx/fbNmxUrVQ5LksQ2wUZoCSXelm9xPiz3pTO/jhjQZ1DfXoGBAV169OrQs/fIiVMnz5qTK09+RGzahPGvX7xkImWCT4pZKYVj/fb1v9etWDJq8MCXL56369Jt6ux5i1as6tC5i+31du/Ufu6saV++fDHqyKSohk4sKgn0w1Rbs60pzi9tOnQuW7HS9q1ba1ap0qROnSZ1atepVnXYoEFZs2Zr075jWJKkxGyLhqN58+dr3KJVsVJl8OVscJ/u7Vs0uX39WpUaP0ycPjN/0dIjJ0ydOHNOwcJF//j9d+yv2LhYqGI4KQSNQmwUC8QwMbktXrxgTtVyJauUKVGljNOWBmBqVWDKlqxcpoRTS9aqXqVJw/q1q1bp2r4Ni01IGuw30fdv33x49/rDe9ce3b1x7/ZNnzcecgPcntQpUqZOlTIsPAyUxm1o1OZEtrWGLSyiYYkRAqsENEBCntOarBVhRQgwltYMgWcDoje0mAUkDoYxD5kYAGVkMkQb8L/LkYIBBBgGzEKfgRJWAjOmsiQUbQYACWIN6FzfhQM2QpxZwMRshgb6fjGKAXEQmA4XEAqdqQJD2KiWBEyCUDYmQ6lBipnVbIjhpTEAex0ZbmOCEUR0BKVgNyYYC0WwHciwYE7EsJAmIwbREzJxAUBGJO6mjgEMItwJ0BLWQhxeI5UgFoRGiJjYA4AghhBh8zMUKbALrMXj5rtXz48f3vfvw7tMWjGd/fXYr0cO4lEAekRDMmNfGFi4WctWPp9vWdSCW5cvfXj55P7NK1MnjBXRhQoX+fjxw6mTJ86e/tXv9TlPbhoFU4rtmM9vf/3lQI/2HWxb9+zXf/XGzY2aNccvAF06tF84d9azR/dIm/dnEVJkW6Rjv37659YV86lm9uz0GTJ1697LCghTnjD2BLHLbSzBWSAmazVh5U1wBQkpCYCGUu33RX/7FhoSAi+BjY2NXb50SY1KlZZGRSZwKIUnV/708c3MKROePnncuFmzFWvXNW3Z8sb1m2NGjnz86D6EiJFNWCnFKKTYSAbSQWMIGTg8JS7227wZ07q2a9e1bbuOrdu2b9WmQ6s2HVu36dCydYdWLTu0bNm+VatWTZutW7duyaJFM6dM/fj2rWLIYG3bvtgYO/abHf/Fjv3i98YJCpZIjFuMtSENdRihOmYjGTClmTVeGE4cOTCodw9t+5u1bFelVr3BI8cNHjU2WYpkc2dOnz9r2qvn/4rWtlZauF6DRlt3bN+2Y/tmnEfbt23etm0z2h+3mnb7j5t3bNuEyV07UqVMiXsBqotxc1MKLYxglS5Dtpz5i2U3tUi2AkWz5SuSNU/hrHkLZctXOFu+Qhmz5WSXx3K5LKQmI3+YCJ9usRjaFl2yTJm5kQvnRi6aExmFdubs2ZZlpUyRcuy4SfOjlsyJWjR34dLpc+ZXqFTN6zO3M7+tvX7t82vblpfPX3Tp0rVBg4YZMmZ88vjx1b//unH1Cn5Gu3X175tXLl+7euXps6fValRv3ryZ3xfnUuY/GOh2wRTldrFlKcXy4ePH8ERhoSGBsM1iBio2Nnr65Mk9Ora9fvkPi80mcFmEirey12/epE4TERAYAkKov/rH+XHDB1y6cL5Jy9YzFyycFbWkSvWas6dPmzh6uN8Xr51cQIv66f0b3K8H9un99evXiVOnb9u9t0WrtkcOHe7Svv27l/jBjYmYTAYx1hY22Lb/08f3n9+9+vTu5ae3zz+9ffbpzdP3b5+9e/08PiYmgTgwKDhLthyPHz74+PaNW5FFEh/99ca1K8mSJf312LFRw4Zu37qFRCM9iOjD+7c+rzciXTrc0P02AighoeHBgYH4qcrvt20t2tZYC1skdQQcDLxy5W9vfCweNuA42b4rVy4nTpoEf7CRjaXKUk5lPBbjkU8lTZa8bedujVu39/vJxbjLCLLr/JnfMmbKFBGRIWWqNAULF/ntzOnzZ06LHa99cb+dOnX578vlKlQMS5wUJpqbOOFmp2ybcYRpjegihNGHDx0oVrx42vQZBMkiJsfRQ/7Du7enTRqfJm2alClTThozaubEMY/vXHcrvLUad7WWwJDQgUNH9OzTLzgo8MHd2wEeT6du3QcPH5U0eQrliDECcdqRWIqRl1hoS4lbictUcrGuWL5svjy5OrZucXjfbl98NJPJ248fP/rifdf+/nvdiqXz50zdtnnNvX9usGBKBQQFNWvRCr8Tnjh6WJBspG9fu3z2zOkCBQumSp0a8pVlhAPAQoitXz59emDX9kVzpqxaNPf8qaO2N8YsFmKBxyrFFiNO33Zt3Xjr+vWSpcvilbJHx7a/7NsZG43XeMSAmBF6lT5jlrWbtjVs1DTm29cHd//JmiXLiFFj+w0arMwSMJEmNIwChBLh/IUKgfLli2fACy4iHCFMgg4AOsJZTv8rBkEgS+iJMGsOUcZKMASDBRgHjSlN2uBEQG0A4M0NBl1CVYxC5DSGk0HEjAY4Uqb/7zKzlFAgC6IT5AA2FETazMFQBoawmqZjYnLIWJiZjAiDNvahB0JwsUFjDrRkimi4YgYJTAmBELhIQkYIGgAOJQEmMvdsQgcsZDEzADOGXIDEgGEcOibF5gKKUcCiAJqKCwhGJ4TiwCSKMQ/97KAMLwgIkxjDGDJ4owSCDMZIxw7E+fXl47slkfOGDuh//uyZ8hUrDh89Ln+REi3bd5o4Y2bBIkWOHzsWNX/+q1cvjC6NWInWWjBANGAo0fv37+7fvfUIT3K3rt2+9ve/jx48f/YUT8x//fnXl6/RadNn8gQGOQoJvl7964/JY4YN7ddzcO8euK8M6t2zf+/ug/v19fni8aI1deL4Ab17De7dc3Df3kP69Rncr/fQAf2ePblnKSPAKGSzckhei+nVixfxcd40aSJCwhJ+1xKCi2yuBHLwCHiMv2JgAGZvgIIFgJmSsJCw4JAQVhYImMGL3ohBwJo0azZn/oKZ81DnzZw7r07d+nAbfGhx2BmJxOyEWf3HB70ssE4M3iDNnXvy2LF9u3UeNXTg8SOHU6ZM3n/goLBEiciQORRIdmFHLB6tBF+dcYq+ffvqwrmz0TExvfsNsNwBRGxWSllhiZMNGjFu3uKVcxaumL1wWfmq1R89erR969aixYtXqVYT9zbLUgFuhTOX4QD8RQtDYRGhMMCnT59+/fqtVu2602bPadqytSiXLeQXxovE8DHjm7VqnTV7dpAaDjEBwpJB1O1bN588flS5SrVJ02b2HjjUK5ZPOFGyFH2HDJ0yZ17TVm2qVKsBF+CUEJsHMzLPFMBgaJwkNCYwCqsHFJHPL42btyhVpuztmzfGDR8aOXvqwrnTJ4waunLZUtyGm7dsFRiMNQULokOEp1BtBPq8caeOHzl14niBgoXGT5narc9AFRjqFdcPjZpPnx9VrVbt8ESJXC6XWVzYTaYws8ftmj1lyuwZU2NiYvBcOHTk2FhtJU2VbsDQEf0GDwkMDj772xmvN85Qi6DV+F0CPiN0pmXkuC3s15wpRy78WjVhyvQqVaq+e/fmzj83K1euNG7ylFmRURWr1YBei5X2g5ZIsa21X8v79+8vXfwdD5eDR4yaE7k4e+4CNuZcAfWatMCbaqcevUpXqOj2mF84oZcZ6UNMBJuJhNkAiiVbjpwVK1dBrVCpMn4ZM7VCxcxZs0RHf0uZIkUpvIuXrVC6XPky5SqUKle+ZNly+QsUZDxuI3JC8bFxg/v3G9K399C+vYf16zOwd5/Xr14z4ztiyiGjx8xdtKRxs6bwGX6j1RpRE4ZuQrRFEXAYsblgFSp/LwDV/zEWSCBIWMBvjGYm/DH8YXYA2GMpQBBIjKKcloEBIxORmSBhclgwSwwkGmasAS6MQPIdiQE5IzQATAtSU83M98uhhV/fh9870EIg4RgkUxwi05jrPyT9B/xfelmAZBTCJUToFJkCRuOYg2UmBs5RCsAQKCmFlLEAABAASURBVFKKUYhZEaIDEDOooGMmVhYzQCLTirM74BGZgmiAl9gkIGBJMMAIF2dIpNjBoYcQwETwDQmDh5ubV/4aOajf2VPHXJb2uChq1owFMye9f/3MUoYIF0SzUviIUOOHuvUaNsbDwfCBfSaMGDykX69jR34pWqp0tdr1ajVoPHbajBFjxwcEBplsEsEG//T+9a4t66eOHz1uxLA3b1936dGzc49exUuXnTR95rjJk9KkSbN6xbIxI4ee/+0Uibb9/r//vLhowexJY0cN6NM7akFUmjRph4wYlTFbLhwgGm+U5jBNkI2WcAmSQUhrsvFIqYEhFKQWfr3/+OkjfgGzLBeYlFIREWkLFy6UMlUqEFhMiuzfz/46ddyo3du3FypSuEnrVklTpx02akzTFi1PHDu2aP68t69eQBxUYEcL1EARoTAuQuTIjAUUAEhw4Lo9AR580QkKCggMBPjl8+e//7z0/Pkzt9vlcXs8AQHAuwNBE+Cy8CDLivn2zZuzp0ycMWHkrAkjpo8fvX3zhri4GMiESCZGgXhnjTCCOszADsESXzh9cu6UCZNGD3/675O2nTq36tgJB47NrtYdu06YPitNRPr1a1ZPHjvqyQO8xOo/fr84ceyYcaNGjh49YtToUahjRo8eM2r0GPM3Zszo0ejHjh4zbsyYObOmR0d/xmEAFdBuWXCLSfv83lh/fIztjcVjtO2Lw7MmWu332t54f3xs6tSpe/XpU+uHWnFx0S7LspRiNnkjzH6/z+NRhYsUKlq8aPESxUuULFmkSBGx7YAAT65cuQoWKlSwYMH8BQrkzZsvNCwMS2aL4Gne1iARlKULo/r17N63V/cBvXoO6tNrSN8+Q/v0HGqAXkMG9BmCO37fPgP79hnQr++SyAU6PtatGBVmuxRZrFnsZ0+eJUueIigo+L+QKq31vTv/XLl8+dPHj/8h2VKMh1TR2iSMywIe788b167659atzj16Dx83idzBaTJlGzBybJsOnf7+628yd2CsBcFIdLdu3Jg+eXJIaOjoCZMatWydIiLDoGEjx0+a6nK7v0VHIw6slCJGmrCzkp+/fFqzcjmWb8qYodPGDJ06esi0McOmjx42ZdyIW9evggxPiX5NHbt2vfPPP6uWLrp95Y/rf11cNH/2/Xt3CxUu4rdtfHn+8PE9tMMCyMUXXkup8ERJ/DY2gvi1VpYKDg6K+fbN9vucbxJwThDY5CnT1Kxd+9yF88iQpw/v/Xv/zpLI+f/cvIV3nlSpUykLlqIql6XcFlrL5VKWxRgScoIYZ8XlS+f3bts8deyYt2/ejJs0MTAoxO0JaNu+Q/78+YcMGDB76qRZ0yZPHj8uV44co8aM08LaCRZU+4n9Qj7bmMGKbt/EN/QHhYsWC0+cHPaSEIR7Y7+c/GXfqMH9P336NHLcBNxAGzdruWfHzmED++3ftS0u+hOTRr17+8arF8+rVK3au0/fvv379xs4EC/kjx89WL1s8ZlTJ836YcdqcVn896WzR/ftOvLzjl9+2n5oz7YDu7Yc2L1l384tv+zfmy4iDRZ9yoSxP27ZEP31k1L0+dOnly9fTps+bdumzb/9+uvk8eNHDh188fxvrMSvpWffflmyZJk7a+bsaZPmTJ8yYfSIDOnTt2nbNlHixEoxM7KGiMnr9WKjLlm4cPaUyb8dP75h1YrBfXusX7GItZdZXIoDPRzz+e3m1cu3rFtTvFTp+YuXjZkw2WW5p08cHzlj8svH9wLdDLJ3b15eunD23bu3rdq06d23/4BBgwYNGVSiVKlD+/dvWrPq3wf3sC6EtWJWjmptU9q06bxe36ePn6GIECjTObciQmFDhUckgCQGNgB6ITTOBbOBw4gTCrGBhRSw9H94ADoI4JmECET0PxzyEQOnJuABQq4wigH5OzlgVJPARJhiQhFi8weLCb1QQjE4Z4glNZTonImEnh3vDS2DkDGDi1GIGXab0BgjmYmZMUtMrNh5ViFmxYyxQ4A5YTRAWcQgYGbCDFrTwS9Ek8HKToHDEA9TnRHowEqAyQgR4ImYiL4DmpyiBNK/202Yg9lAgA4ABBoODIwUxFYbSdHfvly8cAE3j5Fjx82PWlygSPE4P/nIXa5KjblRy+o0aBgQGOxxBxIEiCbB+YmQisaQIUmO/XJwQM9uA3t0Htq789C+XYf16zVq8IBxI4ZMnTju9Mlf4RARTAO94fIEevAzVDJ8rEuePHmKFClTpcTtOX2GjHhYL1O2fOYsWSIiIlKlSZsydWrU1GnSpE6dKiQ0WLExGwrhF8LAghjRw/v38PRcqnRpxAuRg6+OOSYRQJZwHhmt5EwSioDATAFjcJIkSfLFy1dGLV6av0BB4BBrqGAjgKAvX/6Cteo1qVm3UY26jeo2alawSDFiHDTiF0IINATBKoYl2JiGFcLBppgZH4+04HEB0kS4cbPmONAbNW2ZNXvOx48f9+vT6+LFc2ZfEQqjQCG0m+igMzi5g8P+6pVMmTPXrV8fP0RDiaUYLBCuLCt5ytQRGbK4AkL8ft/enTvwW3+bth3CwxN/fPt685qV82dNP7T/J398HCxIsFOEtJEOBFWoVHX5mnVTZs6tWLWWZpdtw0ZSrDzugEZNmg0ePjJ16jSOLhUSHo6HCbjotzU+Wm/cvmvmvMgf6jW0cMNxqUCPCgpQoaFBjZs0GjF6DFbK43HnL1iwRKkyYUmSGt+Rn9CLBGQEx3gFL4jgAROQSoUmSjZv0ZIf6tS7eePGyqVLcIc4uH9fjly5xk+eWqxUOWI38g1yEkJCDCkcHBjSonWbDdu2L1qxpnmbTgFBoSwMa+FgoaLFps2eM2jYiKTJksHPkJCQ4NAwy+MBu5CEhoe3aN12wZIVXXsPcgUn9ovyaQ4KT9amU/d5i5aOnTglcdLkArssC7YhVsgOJgaMC5FDa0GTSJq0ES3btGnbsUOaNGlIuF2nzi1at06fPsPj+3e3b9zw9eM7WGK4mAmpIpQrT95N23YsXbOue98BKdJEsDJxCw60ELqChQoOHzW6cpUqzIxUz547T+qIdGz4SGE9WBA1FvHZVLtB46mz50+bGzlt7oKpqHMW4He5pi1aQ1HlatVnzJk/fV7kjHlR0+ctnLlg8czIRQOHjRaxsGez5YD+fFq0bf5sn9cXGx+XLVuOrDlyhSdNnrtAkSIlymTImIlMCiBOhAgkgHD/O0D/9cwGchoiBe8wVDCXmJzWdExEZncSs2L6748SWDHFcAwDRq/IKGQGuaBRzCBnQmKgIcJ5AZgwSyiYQ0uwhVEMyIaJxKFVTutgGSDs+h/8/w0QozguigHAA0mAmInJqegMwBgwCinTwBjIZoNE71gDIjFjZZoEDKaQb5gAIebgkBnipDcdsSkOtQEwCUeAJIQDFRIYF5kiCBSSCWPoJXQOEhgDYyiK8XhoqDAgUQniyUhC8JnwhObzkrZdij2WEu1jwncfspjAyM5CgEiTKE/g6ElTe/UfGB0bd/rU6VevXjdr3X7s1FkpMmTFzx11Greq3bCZOyCQmS3GE4O6/Mf5mVMm/rR7V+KkSRcsWTJg6PBkKVJYLpU4WbJW7TouWraqUrVq586c3bljB0Ls93lP/Xo8cv687T9ue/DwYdMWLeYvWlyhanV2ebSYG4nG87OG7dhkhI7gvsb21SgGBg5S4LXQm9evY2Nj8du7crlBgRedJs1a4Cir06ARMTGLtv17du48tG9fzlw5xk2ekiFLzng/BYUlHjxsRNVqNb5+iRbnRLK1TlAI2Uwm6oLQkCmIBgtrYRws+MV+7sJF8xYumhuFuhinRMcuXRCC8pUrRS1fsWDpsqilyxctX75kxYohI0ckS5ESQcfX8qfPn+3atXPrls0/bt28beuW06d/i4/3aTjHDAXmEoFKIOCoOA6jdZGsWbb4x40b4mPjR4ybMGDoKGVZ5347de3yX/E+u1KNehNmzM2ZK88vBw/cvnXD9vsu/3lp9dIlK5csW7l0xarlq1atWLVq5arVK1etWbUade3qNWtXrcFw9YoV27Zsjo75BtXGWYYqiY35unr5wg6tmnZo2RRtx5ZNOrVs0rFVs06tmndq0axTy2YdWjYfOWTw+XNnt23dvGrFCiLNDMOVYRZ+/ODByMEDO7Ro1r5ls/bNm7Zt1rhLu7a2L/7F82fDBvbv2Kp559YturRp2bVti1GD+t67fZ1IjPtQD4gkKDQkMQ7o5CmSp0iBoKVIlTJF6jQp8fM6XgtSpkqRwuCTJ0+eNEnS8PBwhZOdCemqyKyvgiC/784/t9OnTx+WKIkII36KKTAoeMKUadv37itTvjwsVczgs5hsv1dZFl4CFUMI4a5Vq259PAd379MvNDwJW5ZSCj8K9Rk4eMXa9Z6AwHTpM9SsUzdR0qQilDV7jvkLl8yLXIzbk40tTRwSGla7Xv2lK1dlyZ49LDysRs1aGTJkYmalrDQR6UqWKhsYGIzXsJjo6NjYmPi4+Pi4WFzeeF+OXLnz5C/oDgj221y7fsPqtX7YtnnjkL49h/bvuXnj+tLlytdp1LRhy3ZzFi1r2aY9CSM78ZAVGxtHMNtyOenqJKawpSxtHmvIFNG2OdbFr3nk2Ak46hfMndu9S4fe3bssWxhVtEiRtu07uNwBihWxQt5aFidUvK54LHa7yONWgW71+f2LkUMHzJw68fixX2rWqP5Dnbq2IACcMXOmLNmy//vk8aqVK9auXvXg3n28ROfOnRsnM+JhE2vBi7f4bRhgLPG41PYtm1OmTJG/cDG/KK3J7/OdPv7LoB5dJowceu/+/ckzZ9eo0yBHvoJDRo2NXLLi08dP0yaMj5o148uHt9oXN6Rfr4G9e/Tv3XPi+DHz5uCX6fH9evUYNqDvgpnTHz+4B4NQscc9ilctipwyZviUMSOmjBk5ddyoaRNGTx03etr4sZPGjoGdtu1/8ezFssWLr1z+ixV/+/bVFl2xUsUVa1avWrt22crlz58+Xbdm1asXTyEtVZpU+fLne3Dv3vp1mF52584/efPmzp0rF3Qh12zNtjYPTj683BJ5AgOXrFy9ct2mNZu2pMuQfu2KZb+fPRXg4s/v36yMmtu7S9vVy5fmLVhoxPgJ6TJlbdS89cz5C8uWr7j7xx/7dml/dP+eADefPXFs/PAh8HRQ/35zZ89aFBU5fuzY/n16Txg9Cinx8eM7hWwiUoyVF0YrEhIcbGvxxscTcGQKkh7HFSoGzGxawhzQROgJi0NOMQDmOUEea0MqTCDEOYBJZ46ImIGkhALVBNGYxZgJe9cMAWsjBT0iQwQGQo4IQRyRJgCKvhdmsCE3DCHcMXOYAU7EscAMwAEWgzP6vp+HQBpWYiQYESQbKxOYhAwMpCalCcJJCBgSTigKS2kgzGHBiCAZCc9MFtQI+Ey1OeEWiVkWcCtR8NSpRHDCMAFAB0uMXvBDrlFi0MLkIMCL4XdeWAFJ0ADXmIgJJKSxMZiZTEnMeg0nAAAQAElEQVQIi9bIJsLFWnO6DFm27d5z6ty5vgMGp0mfARjYbGMvaVe6zDnmRC2ZMXs+jkjED0aAB7xajH3BoeGp0mYICAzBTyXfoqP9fp/bE5AsWYrsOXNWrFK9U7eeVWvVArGAWsj2Y09SqdLll63Z+OPun37c+/POn/ft3vfz7n179/y0Z+/evbv37tm+e/fWHTu27Ni56ccdG7b8uG7Ltg1bt2XMkgtCSOAaXBY4oZR8/vju5vVrcXGx9Rs08NowLcE7tIyRDXUCAEyaCFxIDjzvIDIgAEJQiJXl8aTPnC0iU+ag4GAECnOIDqMjowVWO6GwRFuE8ApibxYHeBMfBMJIIZArxjTEalAQWBEcViDTmnCzbNep6/BxE2csWHjg2K9NW7a5fvXKhFGjPn98/58iyGXCwYAGakR88bF/X7r04vnzps1aePBCJXCBGNaCSLFFSrEiJmXRy2f/rlq2tEq16vjZ+q8//qhWvvS4kcPmzZzes3PHLu3bkPaZOyRcF2EibeMVkdJlzFqkeNkkydMQjNX68YN/Du/fvXb5koXzZi+JWoDj8uBPu58+up8tW9brN/+ZNG12aKJk2lapIjLnK1wcbwsel3X3xpW1SxaO6Ne7U4vmLevXa9O08YzJk37esd32eiMXLtpzcH+efAXgONwXUk6KMUKiDUSazCJiCJ/Qps+cedmaNafOnl2xevWCRYsPHj/x0+GjlWrUUa5AEMBmBNMwixDBeVYuT+6CxUtVqJY2Q2a2XGJ7H965duTnHRuWL4ycPXPzhvWH9v98cO/up48fTZk27cRv5ypWq4V3FZ/fXrF27cz5UaXKV/IEhxD5mYTZrJ8rMLBm7bplK1RiJktxyVKl6jVulD5jJg0zQWPUEjNbrFcuiSpbJF/xvDkL583ZtkXzf/65zYqbNmpYIEeOInly1qxYfsTgAe/evhUCDyqh18LB4UkLlSibLmO2wKDA6C8f9u3aMnnUsB5tW7Vq2KBVg3r9e3ZbMHMajuxOXTocPXV6wLBhfiQuRBgB5miAibiVBgaHJU6eOklK1DTJUqKmTpY8FZ5FEJXg0NBkqdIkSZEmScq0yVKhpkuWOkPi5KnwfJc9V561m7ec+O2346dPHTt9+pdTp4+cPn3411OHT53G3SJvgcK2NtkBIURYG9gryCpo1iRMysDarAD/ryFYxmic2Ggys6DUlCCCgE4gNUcZdgaoiUBuNp1ZRDJ4gzFz0IM5wclgFBGEYOhoBQURzkH0LAnKtUNNUCAokMPkTChCMeuIDiSYEyaLyeDFmGfIYB3ICeIBYZ4cSs0o9J0X89p2ZjHn8BgJxI4HprHBzmI4IIYkwToQmn1PRojAAwYREVoFQnYkmRFhSIZXMMXQKyYOThxBrVGM3YRICEEyk9FtuIkYlJqImMV0ooQVMUAjyq/xbM8QRgZJDF4i0ykkMluKyFJMRhoiwqSVYouBT2gVCoOcGGmQOGnKgcNHnT7/x983/7l45dbUOVEZsuTCEae12EhB86AZHhQSAsF4a4uPi0ucLNnoCeN/OngIX6CU5cbh0aV9uyePHmjlypm/8Mx5C1u2bZ8zZ26/hlFW9hy5mrZoNWP+gvN/Xp65YFGu/EVEBcT78ChGti04KMRZXhEhZiEEmJktmEeOXwYhhPP3zs0b4WHhqVOnVsoSZlYqafLkmbPlSJwsOSl4BgRnyJBx1PgJB46eyFuguK0VdpPPVuFJUs2YFzl5xqxkKVJBHZyCRgC2sN8sO4IMpcBBFU5IADBDJUmeEsddslRpk6eOSJ4mXYq0EUaRSHBIaJqIjKkiMqRNnylt+sxp02VKniKNUozfuX47e+bCxUtnL148c/Hi6d8vnf79wsnzF46d+71BszZaLA3xcBCLLOYyCcPERMxoiJXVsGmLrXv2t+vaOzA08dvXr2dOHLtz8wZvfJwtrkIlyk2YNb9yzTq58ubXxNVq/ICvVPMXL41ctGzhkqVLli5bsmzpkuXLlq5YtmxFQrt8+cqVy1atnj1/Pn4FIoIWbDEbSREfG/PPzRv4vo76x4ULf5w/f+n8uUvnzl46e/bihXOAL144/+eli3/++ceVv/7EmxUiAlNFs7ZRKfpbzJ2b/1y9fPnqX1eu/PX3lb//vnb1qgjFx3n/uX372pXL18x/4+rK9atX7925GxsTgxRUzCSWZuWzedjYSet27t2w46dNO3/asmvvlp17Nu/cvXnH7i07dm3ZvnPbLtz9d27Zvmvrzp2Tpk5BqJEPCBZBAJGl5MXzp/cf3M+SNUvipEmJmXEphXfvfAULFitRKlF4YreFtwiGRqXIHRAgxLatmQU1MCS4Sq1ab9+9W744cvGC2csWzFoeOWt51NzNG9b+evzoikUL//z9Ah60Q4JDwJU8ZZrkqdLs+PHH+bNmRs2euXDBrCjcHxdGHjywf8XSZbt37E6bNm3ipMmQNzChdJkK23bvRt2ya9eW3bs37d6z6f+0uzfu2NOj38CQsHAY4Q4JGz995vQ58/Lky5srdx58Mlu8al3SNBmCcb5nzBKSKDmc1TZMxiJja0u8Nw7ZKUzY18Rka9ty4WcpBkxE2hbbL35bwpKmWLNhc+fu3fHGGBoaNnj4iPVbtyBFsXcZoWPGursYv8CQxXiUwVGAowMwKdZp0qaeOGVin/4D8xTI/+OObTOnT/N4LEvRqhXLd/64rXz5Sj/vO7D/wKHqNWutWrV2wZy5igka/Vp7sXlggDYG2CLfvnw+8PPPmbJkzZW3gA+7W4vXF//r8WOnTpzIlDXbrv2H8KIV7/N9+vQxMCRRldoNtv10IG/+QqdPnvj08V1AoKdk6TL49Jc1e/bPnz/funXL5XLlyJWzVt16K9au696zu2gNfxEHzZIzT27kf+36jbBfmrVu17ZT1869+vQcMKj/kOHDRo3GbTEoKKhZ8xbFS5S2bWLLU7BosRFjxufIWyhtxmxVatQZOmI4fsO/c+umR9Gm9WvXrV1Xp179w0ePHTt58oe6dbds3bpyxQrb54NCLWSjasLapc2Qce2WbYVLVUiZIXueIiWXLl+Ln+kO7N3jZvvW9csrFkVe+/tyvYZNZsyLypg5+6MHd6NjYnLkLTBtTlTfIcPv3737y6FDlqUi0kcUK1kCn/XTZ8zw4cO7ly9fpEqdunzFSoOGDVm1bk2J0qUTfGQmECPOqPhlGJnswvsxkSYmFCwoWgMLwk4mP0QbDBaZmEFjKjNawiwuwaWdIYMQAKMQUkpAT4LdK5RQlJCZxkDAgwmThIaCxQbSVKMPPdaCBCYRxAD43yz9X0Vj4n9DZZKQhCGfIBziidnW0K7ZKQmUAHFAE4EMlVCAcRgcJrAJAvB9SnQCIMTAIqFNCxZUR652xAgR0sZEh+T/EJgpAh8IQUBQIQJrNAEUYOR/JQGDIaYxgaEhwQUI8WELFmoBo5nUJsRw3DGMkUUgUlhIzAFrC9vkTpQ05dVr19evXX3h7FmliMWxxShVZAWyO9CnxdYoCLCgaIFlVKp8lXN/XsZD7e9/X/3z+p0Ll2+duvDXoZO/bduzf8GyVb0GDMmUOSeOA+gjUsYdYq1cWrm1y/MtOu7Bg/s///zzpElTO3To3Khx0yaNm/fo2mP2rJlHDx3898mTr99ivH4V57divdoWRwZjwZiJlOi/L/3+959/po1IV7FyVa8fnsJ5EInALgG9CKMQg8+gAYgpGDqEgBF5jESxfJfqIBxi4FFFSMDPpCxWWGGtmZGNRAQspKCCQkBjI9RgJBN69DbZBjJUDB6tLJvdmt2uoLBR4yelSh3x9PGTC2fPIM4EGZpFa9FIYihRuL58eHv65MkkiZPWq98gzoc0ViAjARHg/0xiEV/ciMED06ZJ26R5i89fvwwd0C/627cOXbtFLl1RqWq10yeO4/OzC2QwyPCDURuviUTI74v/ec+OymVLVCpdolfnTtMmjI2cMxOvWzMnT+jfo0u5YoUrlCi+Z9cOv7YJLitjgO33/nby2A9VK1evUG7qhNF7dmw/d/a3y5f/+v38+R83b+rTvUvpokVGjxzx4f0HsBhNTmwIdzlbE7xDFc2YgDEiQDPzyxfPb928mShp8joNmzVt2aFA4VLkCtQmVRRmDSEJmaiihThwkw0ZWn368H7e9CklC+atXq50/x7d5kydvHJR5MrFi+ZOmzagZ7fSRQo0b1T/yuW/ta21Jr9WPnG9f//h7q0bD25fe3j75uM7aK89/Ofao39u3L994+6ta3dvXLt9/Uq1KhUHDh6UM2cOSdDrrCAaBMBtKY/bwq95AW4VFhIckSZt+gwZEoeFJU6cKGWqlNlz5W7TqUu6DJk8AQH4zI9XIHI8EGJi/vT+7YSRI/LnyNq3axd8Dzt+5PAfeKD54+Kvx44uXxTZtM4PFUuV3LtnV0xsrO2sEJKMBSntBAkYEb839tmjBy8eP3z576OXTx+++Pfxh7dviPTnjx+fPXn46umj/9WvH99aCsmKVeaHj56sXLlqx65dPhMBt1d7fBLoo0CvePy2EjjpVIKzGBAj1KhMjAUzSPSUUIw1ZPAiQMIkIowQXSEWIm140UKpaTUINBNhaCAjngRIVBAjmYDFrKnCAoEGgggG/n8VOMBoUQWTxEwMmCTBcmM6s8GwU4hMZ1hYyJSENgEyZAYiQ0SmIAMNPUDDQvQ/q4yRCe5ijhh/pocvTgf/AUI0uAS5ZdxFCAwC80CS47ihEYGo70gYa6hwx5IEUmgQAxKMcHphIlQwghBtwqxgAN4ECgOQCNwzFUc8aIQ0klw0/sQ2QomxZ82EWCAlUkoxk8bug3zwEVmWcgcFugICbCIsHAg+vH//7+NHL1+++Prl65s3+IDz4OWTB++ePXn/4t+PL//1xXz7ad++wUOHhoeHQVSjZs1//+vvvgOHhidJaWvsRz8+Fd+7/Y83NhZG2KRCwpNPmDq7W58B0K+Up17DppOnTatTpx6eX21t+fzst8nYiFNcjGEiREgRMjB6NoWYSTHunswMWNwu+vXEifQZMqZIlVYMQpiVclmkGG+A5iIO8AQMHzm6V5/+sbG+6OhoImZWWsQn7AlOnDh5Gr+QX4v2a1S/H8mL9WMihFSEiaEbAwxJCwDzrxZ/+vblQ/TXdzHf3sd++YinSSL2eeOBjPv6Kebz++jP7+NivxoOUphKkzYdPj6mS585S/a8mbLlzZQ1b+ZseTNnzxMcksRGrFkRI3WNbELB5hYDoxF2rdu6HXfMbLkLaNwpBCb5vd6YhDDBGr+2cuYrumTdtpTpsvg1p82YuVbdBtVq1qpas2a1GrWq1qhVvcYP1dFWr1W9Wk0A1arXrOrU2rUbWFYQCXQrNsVOmiTJiJGjDx7+5cChw/sPHfz58C8/Hfplz4HDew4c2vXTvu0/7ftx70/bdu3ZvvfnLTv39ujTl9myNVILi4a4SK58BQ6cOHX17sOrd+9fM/XetXv3r917cPXeOXZ2SQAAEABJREFUw6v3Hl299/DKnftX7ty7/M+DAyd/K1KiNEIsrOEuITFJ+YX92oWb2svXry/98ceP27YsXRS5aMG8FUsW7fxxy9+XLr59/Sbe58cd0w9iLXhowLogHoiIy61+3LIlNDQ0d578wYHBJpeZIZYJnTkyocHQi3mRAC40NBy5//XrV9uGAThbVHyc7/yZM1s3rNu6dtWWtas2rV65YeXydcuWrFqycMXCyKg5s2ZMmfTixQtbsE/p3t27O7Zs2r5p/dZ1qzetXLl+1Yo1K/BD4pIVixcvjoqcOmXS5ct/i4i2fW9eP4fZr9+8fpNQX716/eq1qS8N4u27N+/evvZ74+ACrEIwq1StvmDRkiUrlv9Qr8G3mLhPn95/+/oh5sunfPnydO3dJ12mjDZJaFgi2/Z/+fRBOeklJH6f/+u36ODgMGHsbHiE5BFhQXqIKGW5evft//OB/bt+2tOxa9dYr//r18+x0V+8sTETx0/o0KEDwqUIL1pi8gD0ZLEpJOSpVbtx34FD9h/6pU69eksWRl7+4+I/t67t37u7ZIniu/bsKVy8TL5CxRctXYYPkZHz5z26f0+Ql3ADvhPc10gLt+JD+/fbPl/5ylUsT5AtCiFXyl2mYuVVW3eu/fGntFlyfomNXzh3Tp+unZ8/f+bXlCRF2rmLlk2aOSd12nSkXDPmzF29ft2O3bt79+nndnnWrN+wes36Pn365syZ89nTpy9fviDkASk86Q2fMHnGwqWTZs8fM3XmsPFT+w0b32vgyC69BnXo2hNPid++fWvRtn3fwcOVKyg6Xs9dtGTb7n3hydL6xbIJmawKFi4WHBT0+tnT18+fTho7rkypknMjF+TOXzhrroKLlq+qXac+fpC/fesGwStBhHG+cZPmbU+d/SNt+ixxfrLF8ttWuoxZ8Mr08vnTjx/fJ0qctGmbjtv2H50wa0FokhQ3rl+pXaXi7h0/KpyzgSFd+wxcvnFbw6bNvT5/xapY92Xrt21bt3FTzR9qN27adMPmzcNGDKtSubL22zevXvv88SM72YxGMVkuevrvE7c7IFHiREKisFaEAqsSKiE3iIVRgMZZToJCBIyBDO5/PMpMI2k0ZgyP6RlChcCNaojJnMiSADm+EyaJiMkUw2wmcaEa1QaLi+k7PyxkBgIGmPb/eSUIZHQC1zAH5QRIEgItDKsMVjMzEcM+ImIAhoMSCrihV3BysjARsxLkmWjWGlJMgsB5ES0YEqiwOwQHA+wBNWkmQ2IUgoxIE+gghUQMIX0vRjIRw0dGBwDTJI5eAi+QpsNFDqVAnUCwkQI5SuATjEG0DCWbGTbzYgig0i/4guLfsG7DqGFDD+7fp0gIFbOwjSELL2PKFvZqSpoiVbKUqdwBQVrI1jrW6zt67Gj/fr3379/3NSbua6z9Nc7/Nc7+Eqe/xesYr3hxbrFKkSpNhkyZg0NDXJaylEL7z/Urk8aMbFSvXp8ePTatW//HxUv37+O33IcXzl9Ys2JV5w4d69euOWfapEf37miNeDLUERFWgVm7Fb349+GWjevfvH7doWNn5QoQhJEct4zZtgOBlv5XxBSMRBJWBUEBEapiVqagpf/CCucJxekQAwOKU4wRiKEJmkE6PXC2NhZi0bWIBhJzTB/evz5yYM/Nq3+I38vIYYI9uNFyYEhIgUKF4+LiXr14ZrGIYMnBg0CjhUqxFN28duXmzevlK1VOHZEO8sHpEDKzYiJczMQsu7ZtvXDmTKNmzSDw3Nkzr169qFq9xqRpM+o1aTF9zvz0mTLv3rEDhzWbtYQAUmRYodJSsuvHLQP7dP/44V2NH2p16d6j78DBA4cO7zd4SM++/Vu27VC2fIVHjx5OGDt6z/at2u8lIth3+/rVKePH3L5xDbMdu/YYNnrMpBkzZ8yZN3nGzEHDhzVu0SJp0qTrVq7o261bfIz5p1aMM4R4I2ICfkYQmJixizSWC467FEfOntO0fr29u3d7bTvWp+Nxlmk8HplfisWYTZ7AoHQZM+I7OmNfYXEdZEzM13Ejh0TNmZEoPKxhk2bdevUdNHzksLFjh40a3XvAwKYtW+fKk+f382dHDRty9fLfCLCtdVxc/Ob1a2tVLl+rImq5WhVNxY9RNSqWq16xXLUK5atXKF+jYvmqFSpUq1DhxPETsBMGECFkYjFh2Lpdu41btq7esGH12vWr1q5btXbtarTr16/euGHd5q2r12/oP3DQh0/vM2XKPHjYiHIVKrtcHhLGVvLGxSyNnLdxzerUKVPVb9SkW8++g0aMHjl+4ujxU4aMGN2hS/cy5Ss8//fp8H79dmzZIhq5RLbRjZBDAAHEPr9++Y9alcr+UKkMau3K5etUrzx39iwi3r51S/0aVetWrYBap0q52pXLzps2yeMmQXyZ7t65M2XihMVRC/1+3N0sYRfSSZDnxFBha21rCQwKSZkqbXBIKEEha9OQs1SQzjglIIpQ2EQe+WNAyEZnKuIijCkziUPGmQAPDCZsWQzFUAkJ49ZOTsEAeDBgCpVFa2wayABWY/84RLAFGCLIIpBCL0iNTxgRI6McAgYGp6QyPYEAPWEWWHTk8IpxCFOGhVBAgpHhBpWIQWMMm4zJkGVIzAUkYVZwagqMx84VEww0MIcgFPpgoQh6IXbmyMwqcRwXMQIRTFBAnhB8FDAkbHmzExl0JIg0pjEhzN8tBpMyEoEXXHBDQAcss7AY1QZg1g5IZMKhiTTmCBsHn3kAw25kERgFBgixz/YbBQy8zpUvX9+Bg4uVKoOcICKXxdMnjatZqXyNSuWrVyxbsxKyqHzdquXqVClbu1KZmpXKVMMGqVxx4YIFcbGxECXk8toc7xMN8UxiLIcYwaUFVpFf2C+GBhZqoZiY+DUr1/To3Dk2Osavxae1bQvSz68x0rCPsUtICRnjiUwYYCqWXCkCwCxui27j15PLf+bMnSsifUbQuCyLlSkEcmZWuBggNN65c2fsyKG7f9yMUGvRZIrADFuzjbPFrIOI1n6/bWMSFCIwnQ0ZwmyqueCUyPjRo/p079a3R/f+Pbv369l9/apVLHT615N9e3YHsk/PHr26dp0zbfrrFy8Iq6Dl5IljjerXAwFhOcxN3hK2iF2wz7IUvIHFjMPXgCAh5gS17Nfk15YTUqBYERnDhVixMU4IkFdzrA/RY82MB8ptmzcOGdB36IC+Q/r3QR3cD23fwf37Durff3C/foMH9Bvcv9+oYcNsny0afhqfTIhJ4e6bOUu2kNDQmLi4vAULFShSOl+R0vmLlSlQrGyhEuULl6xYrGSl4mUqlyxbuVS5qpmy5LIJGQVzcCyLjTiy9fLV6ytXr1y5fPkKmr+vXP4bLx1XLqP8/fd3+O+/b968ERMbC9+1cYAIKWkAzSR2fMyuTWt7tGvVumHdkQMHRM2atTRqwbzZs4YPGYzotWrRdOumdZ/fv1OkmGAyQk4k5jeZO7eu4zk4W9bshYsWM8LMwgkjNEIMEuMiw0CMBFq0DgoOTpIkyasXz+PjY40ZmoKCQ9t17rJw2YrFq1YuWrly8apVS0xdvWT1mmVr1nTu1s3j9giR1sZT3OaWr167av3GVRs2rt64CU//azdsXLth09pNmydPmRwaEiqICtOzJ4+b1m/YuH69pvXqNalbp0mdH0ytXbNx7ZpN6tRsXKcWatN6P/x24igWU3vjo2bNHNC7B/KqV/fuA3p2H9y7x/B+vUb06zmif0/E4erlyx/ef4R3yZKltFyely+e83++ffzwIS4mBh79h0BUBEVrHf3t67hRI0cNHzZ8yJDhQ4aNHDZs3Ijh40eiGuDPi78/e/ov5Chip5jOtr0f37+Jj4kmIq+t43yaVED3Hr2wK34/e/bJw/v/Pv23a/cecRqZST7Nyh3UtkPH2NjYc2fOKKwilDMhqhqA2Nof/9PO7eGJE1euXtOnzSKwybSAKjXrl6pQw0dun81YH9vvw660YAe2gFJJUqYuV7FqWHhiZhUXG3/65OlLv18Et7JcZKkLl35v1KB+9Urla1etMmfGdAI/dJGKjZfohOqVmHjttSneJ15Nt27f2bp5a/O2HYaNnejnAJ8miPr44X10dIxPa5+GlYRkdrk9oSHh3vj4M6dP+31ePDKFhiXx20hv1mQ1adb89atXz/59IqYQkg92x8VEv3v31sY+Mg8hJMx+oVSp0/j8vtjY+AJFSoyYOD1nvqJ43PXZ2hfvFQRAayfU7NdcoWqtitV+ELK08PuPn44eOXbr9m1hYk+An1X//v0rlC1bpWKFWtWqXb1yWWPtjauYJ6i+fvVKSEhIqrRpHTT8FxLgyTHM3JXIFCaDI0Jr+BLIgIQgZ0ykwEYYMoMGvTBDOgNliOGrgYiwsgkAYdpAYhpcwmYKLIBNZTS4YEaCYAzJGEWmsDItmfF//ETE5o9JAc3M9L0AwiYnIHERCsNTzDKoYScJm5YgBwCmDaCJtMEQbMftgbBwmAHGkMBGpwOjQAYTm4J5YaAYALEQAWB2WoJJRAY0F6PBdMIYCgAY1H8sDi8RiIw6HACAQI5qKIiImZ0GrUHCGggxkGACSJiMRNS23w+8GZNTGILN0mKAxbA1xfmk39DhoyZMyVuoiMldEeTfk4cPjx86eP/OP1prYtAidOighMmIZ7cnoFvvvrMio7LmzA35WPXPH96OGjrop927ihUpOnrcxBlz5s6aN2/W/AUz58+dPm/+9LnzJ0ydXqhQ4a2bNq5dsTT6yydIhmxY6WJxK/3P9b9mTZlw6sSx0uXK4CNrnA87iJnJqDNeEbT8V01EzBgLaNZHY6vjE6nHTdjszMgfsJFSrBx+cIOYYLsDAYuhYM9qbQsOHVuLgEFAgYpOCOH2+20bFXPQJkAJ9vS/jx4N6tNz1ZIofAQ1xiCCAgoz+/HjB1Y4T1ygJdJMmowYfEszRAEu3rF1i8flqly1clBoOJRgFWEd9DIx4yLCqX3/zq21K5YXLFS4bcdOwvzu7Rufz1e2QgUhfHeR1BERGTNliomJfv36BYOLmLCYJCIAyBcft2H1Cktxxy5d5y1cMn7qrIEjxvYaNKz3oGEDR46bPHPenMgl7Tt2+fTp09nffvvy+aMxz++/ce3K3Tv/1G3QcMGS5VNmzu09YFDrdu0bN2vZonWHvoOGz5gbOXbClNRp0p769fiVv/+GNoFKIrebXMqox1AIu0KEjDx0TBIfF6f9Pm3ihxNT+2z2+cmLo9OPNUdoKX2mrBOnz27XuZs7INiJriAaeBf97eSJlKlTz1qwcFbU0pGTpvcePLxr70Fd+w0eNHrC9PkL50YtyZ4j19Mnj0HpKGelVPacuRo0bop3s0ZNE9pmABo1QWtq42bNGjVukix5chgD26CLCcE2F+wEJixRkj//vrJ4yZLFzrVo0aKFkQsj58+fN2vWjClTxo0cPmJQ/1GDBi5esODE0aMvnj8zsYYIoiePHl76/ffgkODZCyLxJW/05JYqNncAABAASURBVOk9Bgxt161Pmy49YfDYqbNmRy2pVbdBvDf+2KED0V+/QZcmk2/IFUasnBqeKHHZ8hXLla+AF7My5cqXLl++UrXqP+Dbdo2a5SpWLF+hUoUKFdNHpIv5ho+4PofDWWxOOIqEtIk64g5EwqzTsi1colyFmfMjq9aqq8zLoQZeiAX+g1oTDGBcwMAsZKgzjRkxAIQbLC6MQEKGnFAwy06mOY3hd2Yxk8DKjJhCBRM7BbPsTBKbP9MQAFQmFMgCGZnLjAhII5gJGMwJmd3LEG3G2LSmM4ToIRlURJglp/y/AGMpEQgBEOOPEgqbzjS4+Hs0DImAhEkRoQfMjJ5McQABxGaWYQyZSQDkFAMwG7dxh0zAsDEV1JDGxDgFBK04c0QgRVUkCDJGlFDYdMgsMduDkSQaZwoZXnJQghPKFgHSRmOIScTsI7+2E0Jhi+TIk7dHv0GFipbx+Qh5Ae/yFyhQpWr1ylWrVa5WDUDVatWrVK1WrXr16jVQalWpWlnbOF3iCaQCExAQdqSZMTw1GpAE8v0oMyrNjGhnDkfj48ePLl44742Ph7motoadtm1rFFsoS848rTt2rVyjlm0bi5nE8RkwgiGK6dund9MmjgsODi5dvkJoosSMzWyxKQoNkWlYYBEzkX75/Nm+vTv/unjBYjGRZVKgMOYiIhLv1w1btGzXtXvqdBn9tmjjv0aUEQgEDUNTBXgtWvC4+fDevft376LevXvny9evEenS4x3g/p07D+/deXT33qULF65fvRwXGyMC/eSNi/v47p033vx3PkEGR2CgpRgvhm6lEiVO2rZj5+at24eEhDMrIsTJVADGCmMhgSWhGoiIUUjYnJo2m3ASPET1eb13bt8+e/r0mVOnTp88+euJEyfxfej48V+Pn8Dw9MlfT5048cvB/cd+OayUYRHwkCmCYIiybXvp4iV9e/Z4++olbqy2zbZWeHz0a8Zy2IJW2RqvvvjGigojxYRFiwgrpr07tg/q1WNg7+4De/YY1LvXQFO7D+rZYyCQvboP6o3aY8KoYVf++pMZKwi9aE3Fbcuj1N7tW2ZPm/T544cWrVqNnTR52px50+cumD573oTJ0zp37eKNi507a+buHdu93nhxYiIslkWPH96dMHZcbExMzVq1smbNroGF4P8pMPmGjwusDYDVQGXLE5g7T957d+58+/wJAWBF2u+/c/vWmdOnEDdE79xvv5377Yypp3/D8PbtW05KahFTcfv45fCho0d+OXH0GOrJEyd+PXHi1K+/nv715F9//IUNgbhAbEhYaPlK5StXrlSlSuUa1apWr1olUVgocq982dK1atWoWQObqFrValUjItIqZovZ7/Mh8/227cMvHX6/9vvE52Pb5OKzfx+f/+3U+3dvsSiBwaFZs+V4eO9+zLcvFuH7slz56w+8IadKk9bWwgkP/YIcQr6I9vn+ffLk8cNHjx88Rvv08b/4qfnFs6cvX6A837tn16lTp0CqkUIicA6Wv3j+dHHkvAP79lqw1QSNoDQsPBwrFhuLjI7xxsWHJ0kCVX6TD+SzJXWaNGLbb1+/RtQFCWELChZBKb57+8Y/t26UKlM2XbrM5qTBYUa4cDc3H1QIoScwkSCrmM2OUMpSSjleIIYwITY2eumSRVs2b8iZJxe++YYnS4Hfjrr36TNw2HB8Ba5Zp65gN8NfdgrS2MQSAhBUJke+z9YduvcaMWGa5Qm1bbgjou0ZEydsWb+GoVjDErI1x8V5v377FhAY9P7DB8gLT5zEFtKgNVWFhoe7PZ7o6G8wV0Ewi2L+ec/OCWNGiO1DBilsKOxtpd6/f+dyuZFjPpu8fghAJIgEKeYnIf0dwaSwe6FXmAj1yaOHg/r1O3L4cM3atStVrSlWQKNmLYaMHDN89PgRYydkyppdUMAvMI3evHp97+7ddBkyJkmSXAgrYyQQlOBiCAMOLaqAg4wGMlRCprARBCQkmUqGwVyEaQ1ZQBqyhAsyHADOYpowxwkbzFCby0gD1hBBj8k5gOwIdRgYBYYZGJFLoDQDUAHN6BJ4Eix1TAMSFKhgBQwyYgJMoDQqnYswwgUqAcSEpCIxROSowepgNqGCzcg1dMQaIyLlVMFagJpZi6FkAS9jntHDHhgLiQSnhVDMDDqgQOIABDomFHYATegSLoIsIYMmQmei5+ii/4oooCHKGcM6VIBaIxdtUNra1kYvdhKqaLM/bcwC8vl0oWKlS1WokjR5BHaNI0MsxWA3ImEuqAWEMF/DNcUgEWGVK3/hkhWqBYUmtrHKQvfu/HP71vVsObJPmzO3befuNes2Llu5VsmylUqUrVi2crWa9Rq169xt5NjxWbNl//OPS3hXgfuQ/fzfB7u2rB/St2fvrp0OHtiXM3feQcNGpkyDX34Y2hEYJx9Mr2GGxvYS7Xjg9/u/fv7w6d3LNy8e3r7xx6Z1Kw/t30u2XzEn2IpwKWXBC/ChFVxMSrEf503MF2/sZ2/s19iYz7gNkJnDwxI6VMaFUGkU0YZXYIghEZHkKVImTpwED9lPHz9wWcRYaLYtpa9d/vPm9eshoSF4GbCYnz15cPHcKbG9isSYzvTo/j/nfjuVM2fOQkWKsXKxk13CzETE0IaxxMfGbtu48fmzp3gpDUucwueXoOBQC/v/3TsFr4i0rb98/gwWjydQnHxiYyxAgo1en/fjp88BHk/J0qUSJ0nm1TreZ8f58HELRyqJckVkzNi4eQvLckVHR+PeALW26M+fP2rbrly1avoMGW3BBxtDjF+iHEbb5QkqWrJEkqRJiOjDh/dk7BWyfWuXL9mxZd3nz+8F1ohoJvOHBraI+L0+uKQ1BNtO67dtvxZbi7bR2jowJLRY6fI58hQkdguBViAYL5a2bSdNkgz2Q6/XL3FeivNJnI9gD7k8hYoXL16ilLZtbftdFrsUu90BlarVwGvbhOmzJ0ybNX7a7P+rYjhr7NSZYyZPz5ItBxErVoQCt6FRi1+0zxYcqfhC/+VL9JdvMd9iYmNivXE+n9dv+xEarUWYiJnV+3fvT544/vTJE4G5Jtgc/fVrdEx04iRJqtesERAUiu9t+BTn04zq1zgUrIyZs5UsXYaI4uPjxElLRUwM9ajYziKaMmTJOXVu1NR5C6fNjZo2d+H0OVHTvteFU2ZHTZ6zYNqcBXUbNPJ4ArBq0CwmTWA9QBJta61Fa42XJcgSLWKDAJVE0qTPVOWHepmy5kSyKYUPJTCEyNm60A0zjAgSdoozR0ASZIOZmRhgQpUEGDgxs98nEAdmwOhBxgzJYNQKKIzFEQxAO8oIHqMSrIRKEUIlILU4gKGBhUImm4FibdhBJOiJcUuzgcW0EIppjGbCDP1XoBZ4CGZTFGOMStAGUBwQpMJOAWQqJ6DFdGKi5yAJaBbTkGMeYAQdoJkgmCpQZGCDIsafhlow4AlDCE82ZlqwKKYHPSqIhBSkmGpudtqIcb7uw0kS/ClDJoiRaBCgEmlBxYqyiGABPYoCLHLDMOhgCnCzxxLb7yUSl6U8bna5sQiEA08piCe/X5q17jBlTiTq5DnIpcjJsyOnzkFdMHXu/Klz5o6dNCUsPJGlFGywFEFCoJtRA1wq0K0gH4qxIHh6AjLQI0EeQgXsdhOKCQNCIGJrGAgZ8Bd+oSIJ8QFLMuXI3anPgCp1Gsb7QWvWVGvGnOCw0Pruzatjhg68dOF8vgIFqtX8gcyjGmOHKiKFPyGzhmihCR4SMROmEGPLIkRDYYexJkce1Mf7dfU6DZu06Zg4VRpHm9y9fe3m9ctfv3zCSmhtIikCG8gmNTdq4cbt2zdv37ll+w7UrTt2bt2580dTd/y4c8f2nTuKFS+hlGVZMIGJUOEdmYUhUaJdzBZrU0nDDDyUN27Zum7DJjirWSmzhI7BwuJSJp6BHkYNCuCgAOW2CASWBZhCAzk8mBIFKdSwIHNLCA1P1GvA0K17Dmz76eCPPx/a/vPhHfsOmfrzwV0/H9yz78Cqdetz587ttixLKchB3sA8RiGEQrAAXz5/ef/mte3FfQe2EMKllGmZBVWxKDbuGANBLoTQoU/AZc6WrXS58vj0U6ZCRefTDz4AVQIG34DKlK9YvmKlpEmTffn0UbQfPqAyQ5QljPwhS9HGdauTJk08ZuLEkROmtOvWu1Grdg2atWraqm2HLj3wxLl8xcogT+D5s+fevXlLQobJjj159PCIwYPPnzlTvGSpdp06keUkloJ1olEErSC5bM22mIrHfcCegKDipUpfv371w9s3zBpG+L3xp44fW7Vs2dbNG7dt2rx146YtmzZu3rxh8+aNmzduvHTxz9DwJC5XAGLEpO7evr16xdKtWzZt37b1xx+3bdu2dSvqls1btm45cuxYaHh4YGAQMSdLkWrUuIkjx00aOW7yiLGTR4ybVLRkqew5c/QfNHjU+Ckjx04eOWYy2rwFiyi2XO7AAcNGzopcPHPB4hkLFk+bt3jq97po6ryoJs1bMiPwFvzG7aZ+o8a3b968/vefQW5Wtm/ThnXp02fIki2njbhifYhRyKwue4JD5y1esWDZ6gXLV0ctXxm5fHnU0uULly1buHQpKky1EHdCQQwILJrItm08h2zbtMnjEkZWiLgt/vMSXo85fcYMYaHGu8t//uVCZuDBUPwQcOP6NfAGh4aK1h6L3C42G5/Mhjx94vi3r1/adejk1wYnWBnWFoFMcPi4FVpyWUapUpZLKbAHWBzgMtVlGWfAYds+n9/OV7Bozz6DAoMSJUsd0bxtp7Zd+7Tt2qvfsFF9Bw/Pkj2XImUphfy0WBRUs2KG/QSN2XLmqdu4hTsw1MZnAmHkhVJ09e+/ft694/mTh6xtQeC0/c/t2zExsclTpYlIl8Hni79+7apRLbYtJoPevHkdExMTGhrmsmAkYkJuix49uIcvF39ePOd2kSJtMb148eTmjRspUqZJlCixZZEHvrhVkKkWFEGg4zt7XAQfA93mnHQjXIpt2/vpIx7SVMUqNYqVKgtTq/1Qv0P3Pq279G7TpWfvgUPx6Ou1BcViPnP6dHxcXIXKlRieOFsQ7kM44dhmuGwcxxC+A4FqAEJhIlRi0zgggIQ5w4EBY1WBYAZMzEYWOUWJoSDFOP7ITDpYB3Am/tcISMQ5LVmBBosuOCSMJJjOZBGKWRgzCcswEsMLpSBzkP+znzVcI8xCCCCzT8mwAENEmCUS2OLMkpHMwEGEwEzYC3mgZDFUIActhOD4FbgAW0gLLAQznIRVBkOicECYEGhwMWGSNBExYyjwCsIJ+SOEOQBIHNHMDCJtC6gFC+ToISg1DJoBEFRpsCCNBBNEjKINnTPLGkNyimhCdoqI7bft+DjW+NYSR/5Y8seIz1Tyx7E/Vnuj/fExWnyINUxidA67tv2s45XEu8TnEi+qh/1u9nmU36NsF/uRfC5lFGvhwOAQJvXh/btXr1563G5trESmEzFySrksKyjQ9eb1y2fPnnkCA5WTR1zEAAAQAElEQVSFEJHfF//zru3DB/XfuX3bg4cPS5etsHzNupKlywtjFrEmJmxA4xRcQLVtsbW2bb+IfnD/QZMG9UsXylelVDH8sj95zMhz+PnYtjXmxDTEzArsiICJkjNSbFlTJ00snDdXsby5i+TLVTB3tnlzZrDxmRLUGGeM5UQGwUyOexCASBInS56qcYuWr1+/7t2t84lDeyU+muJjfjt2uH+v7tHfvhQoXLh0ubI3b1zv0rZ1+2YNVy1d6LaMAYEutXLZUp/XW6RY8Ww5csJAJotRRJBTWKAEo/HkcezwoUbNmxUvU8bn17bmAoUKBweHbt6wAcdKaKB1eN+e+3fvpE2fEYcz7ASvaFhNhDwkCg0Lz5I129dvMSsWL3365GGQ28JxEGBxoIsD3RwSaPnjYhctmI/wZcqcMSw8jFh5XJ5UqdO53J7VK1c+fXI/JBDPWJZbKZfCgaKCAlzRXz4sWjDv4f37wBUsUJAEocJrxucZE8etWrro21e8+CE0ZNIZViCtjTlIaMRf/F6vJf5Ayw50+YNcdpDyB1n+IOULckmAZbuV9ijxuMlSZO4ZTFmyZPUEBD16+GBpVCT7o0M8FOAmHGoBFgW7KcTNF8+cPnBgf6IkSdOlS+9SlmJmS3kCw8KTpAhLnDwkSarQJClCEqcITYw2eVB48sCwpMHhyUISJXN5AskpthbbFpOZxmRLk/Jp3bZT583m39ves2Xnni27dm3esdOpuzbt2Llpx45N23du/HH70FGjWJklQ6gZMSBOmTotXrwfP3w4esTwuJjPeJxCtN1KAlyCaMPmPy6cWbl0kWVZGTNnTZw0CZgUsWJCFWZNTBhagUmSpU6ULFWiZKlDk6YKS5oqUVIzDAeQJLVpU6QODgsnVkQWa1HMrJhgBDLcFvH7XOzzsM/tVAOQ103YntiqPrG9TH6LScCAynBcGEcLEVp20CJIIkcipAqzCJOCMoyInANIM2AQYUYBhBFECgJYoF/+m9UCFBFrACJEpCGZYTOEoEKqg1VEGKFhIoY3hAJCTGtAbBihAztNSIMEUrRoMnpJtPPIDDLDYGbFzIEVKAI76NmctFAEpHEPhMpwIdhkZok1UBAII1DFCCHDYiTw91lDKdBG382DZIiThFkSAztCmA0XBJoOszAaGEhTBLmWhViCGnxoyYZEVkwmvhCIMAiRBjPEEQPQcI4YSMduNIi9mTbPMVB3759/po8f3b9719XLl8XFxGzdsKl9ixaob1++fPrk6bBBg9s0adSmUYM2TRoM6tHl+t9/KKOLQ0ITJUqWOnHyNImTpQ5PnhrZZWqSVGGJU4YlSZ44aVJWSpFSzNr2D+jdp3fXbr26duvTrXufbt36d+9x7OiJ5y9eT5k0pW+Pbv26d+rXrVO/rh37de1w4pdDlmLHbYJz8DTAzQFuFeBBy0EehfzHXggKcIeHh4cEhhAZf+ENcsP5Mq1vXb82ZsjAXw7sCwgIHD9lRliSFKQsJlZKsWIGOeSSKHiOajQx0MwuS7kCPVZooBUWZIUEW8EBVrCHAz1QagUHBgQF47aikJYulxrUu+ew3t3v3roBAU6QlTATKS2cJkOWDFnzZsiaJ0OWPJmy5s2YLXfGrLkzZM+TMVve9FlzZcuTOyQ8jBWjGPdIGPawWIoCA1RQIAV6COckalgQDlUVEugKDwkKDQ7wuPDcqSz8KcXEjJ++H97p0aFl1zbNurRu1rllk86tmo8aMujli2e/Hjvau3PHbq2bdm3VxKmNB/fq6nKx5fKkTpcpV4FiOQsUy5GvsFOL5shXNFf+IjnzF8qZr1COPHmDQ0IU454iTJxgnt9knvFStAaKCKrFbc5YCrI42M0IUZBHBeE4tQQHFB6CLSYmU5idmDOCxk1atF62duPydZv+V5et2bR07ZbFazcvXrNx6ZoN1X6ow8pCQShFK1OxHUQjt8Xi+Lj4AE9g+oj04eGJiC3bxklLsI2UFRqeOFOWzKwoPi7W9uNjKL189qhymdJdO7a7cO5cjly5V61bixzAwjkbgI1AwTaBUwTx6IwOTcKMOeVy5y9YKMDj+f3cWRKbiRXiLXbePLkuX7n219Vrf1y5eumyqRcvX/v98rVLV66f++OvrLlyQQ6xsRhCV61Zc+nalUtXTP3jytU/Ll++9Pfff1y58tf1642aNlWsEJig0EQBIaiJA0IThYQlUpbH5Q4MDUsSFJIoKCxJcFjSwBCc6h7NbJPCPShJyrSoiVNEJEqextQUEWHJ0iRNGRGeKBlshECYigfuHxo0IqWmTRi/esnCds0a3f/nn7IVK6WJyKhx4CikGhGWl5jZYisgeeqMydJkSJ4mY5JUGZKmTJc0VUSSFOkSp0iXIk06Vm7HTrOOGucOITaUPn1G/Oh35e+/5s6YHuJhbJN7t68vXBAZGp6oao1ayJ+sOXLMnjnz9vUrYR4rxGPdu3Nz6cIot9tTtlyFV8+ezRg/ZumCWS481Wn704f3f/x+IU3aCLx7+2wNq5jR6A9vn29cvXjzqkVb1yzeumbJ5jXLr17+68H9uxtWr1y1OHLF4gXLF85bEjnn9IljyE8wMLs0fFMqOCQYGzjA5Qowxe3xuPFhul2nzrAZki3FlkuZahGWmU0RJrIsvDWiWjgRHRdJa2rWqs3df/5Zt2KpeL+FedTzJ/dnTp6QK3ee9Jmzl61UJSw00cF9e8+fOgl9qNGfPkTOm5M6TeoM6TPEfvtctVzJEYP6+/3x5StVDAwKHj9qVPT7t+FBlsR9GdKnJ5MgUIr5yIG9q5fMX7N47urFc1YsnLt7+xa8wh06sG/xvNmL589eMm/Wknmzly+cf+3yHx434iLM5HJbLpfL47I8lgr2eALcLlSPy9OiZeteffrFe/H0gfyzf9q9KyAgoEGjRtgjTGQpZZMWVlBtUhRpAFlEjD8yECOOrBzfsTMUEWFETkGgzLmKnWEqbjMwQ5wZgihmsJqRYjYQULg5GcT/6zKZAyXfOTEJPWgTKmAzIaI1dBlQm81J2KAg+D4LbjJTwPyvyn8I+R/0vznQgxMeAyB47zAjOCBgDXqwYr+j/Y9VCcEFwT0BkHFOjAE4Mgw1sWZUEkUmxmxIGaIECkwP8HsH6L/qBEWgmCFaa8QVlQRqQcGwhY1dZAwABXBEWjQYYJ4zMjPiQKBGD7wgRNpev2ZVpojU2SJSZY9InSN9qpwZ0ubKkDZ3xjR5MqXJkzlN3kzp8mZJt2DGJPHFuZgYRjK4aXHUggLZM+fOnC53pjSmZk6bM2PaXOlT54xIlSOdUyNSjh0xxO0yAcqTv2CTlm3w/aBZvbqNalWdMHTAkrnTVy+cs3z+jLmTxw7p1bV6+bJtWzR3WVbDxk3MfzGPWCmFXwayZs9Ru26DDdu279y7L3PWnNjX2vihEDettXlOgT3GHFLYkOCxXGkjMmTImDEibUREuvTpM2bOniN3xarVylWq7PEEOS6L1uBxwoloGWlwipImT5Y5c+b06TOkTpUqTZrUpqRKky59hkyZMoUnCkfYwasRPqcqZSkUyygVZlKE4g4Mat2hc5OWrWOi43p07JAvW6YC2TN1adfq1fOXRYuXmj0vkpT748dP5qZi+799+UrMrBivYXt270yZKlWlatUsdwARnvKxqCbMjioiYfxqtHfPLuVy9ejbP86ryVm/7LnytmjTAT9DVSlXtnjBfIP69XW7A8dMmEyWSzMxbELgiZgJxRaeNGNWtux5zp45W6VsmR8qlRvYq+vU8SNmTBg1cmDfZvVqF8qT8/iRXwoUKlK7fuOQsCTMjI1eqmy5eo2aPHz4oGzx4uWKF+vUpuWQfr2G9e/Vo2O72pUrli5ScP3qVSGhYWMnTU2XKSuOOSL6/PkT3qPw/S9ZsuQYoipyLCCCSCLzgPjt27epE8fnTJ82V4bUudOnzo02Y5rcGdLkyhCRM32qXOnT5s6YFhl1/a/fXSYMYOK8BQp16NIdd4WZU6cUL5Cvef0fhvbpOnZw32F9u7Vv2rBkwXxNG9QXW1evVadcxSq2dnaH872NiBFAMtuACbE0lRlxd+5ARGyw9L0YGOmFlTaVRCuvreJNpTg/fkbjOB/H+Ewb61NOpTitsB6O/AQh2IiULmOmFq3bZsySbd3K1cXz5WlQo0q/Lu1HDew9tG/3ji2blC9WqHmjBq9evc6VJ3/33v2QP4yVJkErZIxWsIMdy4DHGfEdZA3jmbG4BkcKmQtjgVOK/ysEw8H64P79vNmzZk+XJntEmhwRqbOjpkuTMz1qquzpUqMCbly71qtnjwlOMhMxlknICNLGECAYAyGcWEQEAk3QZIbQALMwIkKCiWCOcPLId6TAESJFRA6GieAXOYWZOGEAGWQTmaXReCTChKgEQeT4Br3MTCj8P7EYGNFYN6OCGSocCoOHqZRAb0ZQzSgJio0V5oI5RhQiJs6QEEh2BGAI3fAagGF3kAb4zuKApgEjKiCYh9ZUI9LQA/8/1/5vyfDQkJkLpILYavGDHXgmE1IyocOphg1KjD/oJIJdFlpjkvGSLYcU08xoKKEIgmwppndvXp86eeLokV9u3rwRGhb28uWL82fPnDl9yu32sFI3r1/9++LFK39cuvoX6p+vX738zs3GXuOxsQuEyskiIcY8C5KMGFhSSts25J/E29Wxo8ePHTt+9Pip386+//AB07+fO3/08OETvxw9efTIryeOnT554uG9B9osj8Avv887akj/YX16jOzX0/zbKf16jejXa2T/HiP6dUcd2a/HyAE9oz+9hUJGyDT0wnnB6eFyu/MXKrLj5wO58xXUmhQxG+OIGe4CMs+bJjYCFqycsVW0/deflwb06jWoT6+BvXoO6Nl9YK9ug3p3G9q7+9DeXYf17Tqib49fftqlba+29bcvn5IkTZIxUybwQzPEWUxoERIWy7bZr5VflE8AsF/YZwteDLRYWtjG4SJkKGEMk21LfHz8mlWru3fq0r1z1+5dOnft1Klbp87dOnfp0aVr725d+/XoPrB3r38f3nOxdikyihQpknevXp45dfLCmd9+P3fm0oVzFy+cvXHtmsvt+fLly5+XLl68cB4f1y5dvPDHxQuAoYZQGPsNBpgsEhw72hmysrUxVWsRMsmEFhCTYlbKYiZiBAm8hIxX69etXbJwztKo2YsXzFw4Z9biuXgunLl47mw8Iy6aN3Pt8iVfv2BlwWl4ERMRGwJ9WsX5Oc6PVsX6rXhUG0OO96lYr4r3wwZCEcKjIUEPKjP4oN3CB+XW7Tu8fPWyd89uC2ZPv3jm+L1bVx/cuXH72l+njh2cM21ilUqVv3z+UqRokVSpUoIrLib606ePadKm7dC1654D+0MSpfD5ydZmC8AvEiQJoWgigXhAqEzsjISsbLnylatUdfuWTfExnxUCTULMb9++3bB27bq1q9evW2Pq2jUb1qxav3b1xvVrNqxb/fDeHeQYYocY2loO7N+/bs2aDWvXTQdT1AAAEABJREFUbFyHFjSrAaBuWLv64vlzXm+81uRHkthokRgM2+z4eAUbzMWwS4xJQrAJBhELQzzON4sUHnBcpCwiReQSTIAFFoKHmJUVnjTV6ElTbW0vX7IQHxZ/qN+wY4/eXmFiRYSWsCpui10WAIPQomwBPzJBaXFpchGeHzQhRYCFBUIJbmm/LVq5OnXrgXv6wgULShYpXKtK5caNGn359nVu5MLESVPgDt6pW88kyZPX/qFGzWqVG9aq3qx+3ehvMcPHTsSTBt5ejh7ct3vbVpdii+nG1StPHj9q3LylXyyC3aiwjNWDu7eXR85dFjlvqanzVy1d/PzZk9jY2B3btixbFLUcdfHCFUuXHNi3T2zNsFzk2pUryxcvWjhv9qJ5MxfOnbFozoxFs6ZFTp8ya9L4KePGXDh3WrFtXGZSBK9ZKbKILIuZCc4x8kLbiCIMc1lmh3bt0ady9R+2bdlarXyZmpXL1qhYzh0Q2KJ9p7QZs1kBoQtXrMGn6u6dOzWqXb1lw7plixfFB6mWrdvjJ7Lbt/65/8/tR/fvfPzwvkq1Gi1bt3n54kX1SuWb1a1dpXxpbM+6DRvWbdgoPj7+8E971q9Ygs2ydvmydSuWnzr5a+KkyR4+eLB2xfKNq1citTasXblt07obV/90w1ZtPL30+4UlUXNXLJ6/DLsvctayyNnL5s9cPG/6glnT5kyb8urFC6wZzoHbN2907N4tSbLUuDsiO0SIUUQTeiEisYFCD8ipALH2aJ1q6LR8pzDkhMBghoFDtEQM4OARtYSe8BgB6URMUGQ6YkoooE4AiJnwBzJsT4ZIsAphOQhoEmbglBCzA5MQhJpZIEgYRFgztKZizWG3ZjZoEDKzItaEAkoWBl4UWiOL0BPOIIMDDEIgnFnIIIfb8AkxqEiRqUzMTGYeY4JAIiNKNFrFcFbI+A6tmIBe0IIIejEPRswiKw0SvIIRs0NKJEyMiln0YCEMFBrMGL0Eo5kwMI3DCwBVFJGplsqeM3fZ8pVLly1folTpkqVLlypTxtTSpUuWcWAApcuULFOmZOmyGTNmtkyCK7QR6TOWq1SlbLmKpUqXBUPp0mVKlymDtlSp0sVLli5eqlTxUiWLlyhZrGSJ9BkyQr9ibHg1ecacyTPn1q7fwO1y/fH777t//HHj2rVbN244uP/nGzduhIaENWzcbOK0mS3bdvQEBDGz2x3QpGXbvYeOrVi/pWrNel5teW2ECYazIEhCtpBPS1BYeKbM2dKkTWcpy4UN73atWL9p656ft/+0f9f+Q3t/ObbvyPENW3fUrtcoRaq0latWL1uhIiF8SqVNnzF77nxBweGIqK2pfefuO37at3v/gT0HD+w9eOjng4f2gv3A4e1799dv2BS6bM0hoYmKliiVIWs23BQtpRiOMTMhmIwRs0qdJsO4yTMmTJ3Vom2HyuYFr2L9xs2GjBiz4cddSVOm8fp03oIFW7bt0LRluyYtW+H4Y+bPnz9Xq/5D8zYdSpQuD4yGawgZNgfMwsLCTRKvzxeRIfPI8VNSpc6gsXOdBfTb1HfwsNETp1apXitHztx1GzSes3BxpWo18WQAVsgggX2EhGFCrDh7rnxrt/7YZ+DgilWqegKD8MP6mVOnT586ff36dZ/fX7p82a69+8yYN7902YoisIvRpo7INGbi1BFjJ9au1zBxkmT/Pvn3rz//+uvPPx/cv0esihYv0aZj5/mLV3TrMzDWhzVh2Pvu/XuoTJkqTXBIKJwgxpIZc8yykTkWcuTJU7pcxRKlyhQpVqxI0aKFixYrXBStqYUKFylUuGjBQoULFCyUv0ChoOBgIrjA8MWrqf/Q4fMWLWvbsTOmYmPi8YP+pYu/4wR8/+E90qx+o8bDxowfOW5iSHhimEFQyxr7lEhgAzNcEghSjEVjFABM6Dk4JAw/frnc+ABFZFBoTcdgJBTYbAluaVppbYm2tGZTBbdxABamPAGBqdOkCQkNJagBB5loN2zeGtZ27N6zRMlSeCC7888/f126dPmvP58/f5YsRYoq1Wp07zNg2dpNOXLnt+0ETWJYjY0mbM4AzsMSg4a1SkE8MZExmtELMSEPg0JCPQEBCngyJTxxkhJlypYsW7ZoiRLFihUrWrw4lgm1WLESRYuVKOLUosWKFylWPFv2HG63h9iwWsSQiErE5ICCwAkaJiKTCgZJTCAmFAFIxIxZVAMIgcHIQk+Gg3DgCjHBI0YPQDGGTmU2Q7NMQLHC7QFoo40IADlanCETpKJCCCBGx0YW1lXMGHrQGRVOR4aZCUc3ExmYUJjZAaHNGO8sEZODIlOYDIHZdcyAjVwCCvcOgmLDgo4ExgOLWSb0oDRGAiZThJkVGsAA0JolJCABEoshE/RgYWCVABAFCNNMljlHDC0TMagU6FERIRLcIZjJGECYIwOI07IzVHg4pKw5cg0aMWri9FkTZ8yeMGPmhGkzcYqaOh3wrPHTZo6bOm3c5Gn4IDJg6PBcefIZARDERFAMMUyICQNr7q2KgCW0pJQ56hXjHHaPnTBu0vQpk6dPmzxtCuqkqVMmTZs2afr0idOmT5iG424GlI6fNmv81JkVqlQzCyeM55uQsNBTvx4/enjfsV/2HT+87/ihfccOHTx26NDxwwePHd5/7NB+PL3FfPsK1UzESjM8VxyRIf2AoSM27dxTsGgpr+1EwTw5UqIkyXLnL5gkeQoRDg4OxdAdGAg+VFeAJ0ny5DExsXjhPHHkyIljR04exevfUbyAnjj6y/Ejh0/8cvj44YMP/rmFgPl9vpiYmNRp0yZLnpKZXWxZrBTjQkvAAII9EEsoCA0xMTY7SUKItAaaiIFF63K5Q0JC7969++uJE6dPHj/168nTv546bdpfT508fvLYsWO//PLLwQNvXr1CTCEGOgwnc+Zs2UdPmjJm0pTRkyaPnjhl9MTJYyZNGzNxqmknTR07CYCpYydNGz5mvGOSgNGxVVkKys2QCQsJu8wG0kKwDGcJnsZ0grGYJOxdJaZllycApm7esjVqwYKFUZGLFi5cvHiRKQsXLlq0cDGGixZu3rTh08cPkMoMY9EgO6FNGYgtIUWAsCZoFR4ELIXiEEIpmVnFhgICFJFiBkBev3Ts3rf3gKHJkqXcuGYNfnGtV7Nq7eqVG/xQo2vHjpvWr0+ZIlXn7j1bt+voCQyG4SlTppk4edqa9ZsmTp0eHJok3oe3Y7JttjV+CoOzHBAUFBwaxvgKIEY+3EMnyF5WQIaGJarXqCk2xvoVyy3x4RcSPK6EJ0n24/YdO37cvn3rth1bt23fsvXHLVt+3LJ52+ZN2zdvevTgPmxlVokSJcmaPeeZ385sWrdh09p1G9asXb8GL2imrlm9bs3KdWd+Oxcf78P7mK1hD2tBFeiK9cYRDiVExux8WGQ6EmJmbGGYl1CZNDAWs6UQWKwgY0mSJUvhCfDAAMVKKXelanUWr9owYfqcOYtWzpi/2BUYZlwjstyeiPSZEoUnJlbKwh86gMZnCMdYIF20YNGFwhMnDglPhIcW7Sw9zhFM4IEhdbossyOX9h08NG+BAilSp67bsNHCZSt/qNvQ5xe/rWrWaTB30dL2nbumiUifLEWq+k2az12ysm3XXnF+ypQjV636DVu2bQddUOkJDCxXuXr9Ji28tlhKuRS5FLsszl+gyNS5kTPmR85cEDUrcuHcyEVzo5bMW7hkTuSi2ZFRsxcsnDV/4ax5kW07dGILxZU1ew6k5Zkzv/1y6NAvBw8dOXToyOHDx7B5Txw/e/r0+XNnnzx5Ap8UMZtKTKZCIxOixQiEpSDHsgApGABLEFnPlNkL+g4ZmbdgkZSp0zRo0nzC9Nk16jTwa/H6qVTF6gtXbWjconXiJMlxRtWoXRezLTt08StP5mw56zRqVKtOvSRJk/s1j5k0GRlYrkLFoNBgPM2OGDN+2uwFZHmCgkN6Dxg8f9Hy+UuWL1i6PHLZisilqCsjly6PWrY8asmyyCVLI5csg5tVq/+ADw3BQSF58uT9+OHjz3t+2r/35wM/7zuwf//B/fsPHTzwy4EDcPnYkV8+f/4Y/fXTT7t2hidO0nfgkDg/llGZlWRmYsIiEpEDAgsIU4z0wpITOZOGBgALGBk0GAMEBygBAEsENKEwLgItJRQkXgKGkCtGB+RiFqw4mAlTjAYjEmYmwLjQmxMREDE7OjFLKEz4AwpIjIgA4oINDmDGRp1S5JApMkU4wTImgl5h4xjmTSVw4nJas6M0BixMbBafMUBlEGLOYAUTBBlEZAxgSGIBDOMMTEYOADIsGBAxMxoi8IgAZgCEBhcJGgMSEaNgBiNTsbsJhXGJaZyLTQsMyExLbDkIELBTPAEBbTp1mRm1ZGbkslmRS2dGGmBm1DJniHbpzKilMyOXzliwZOaCJfi5w+VyK8Vul6d85eqzIpfOjlo+BxUbaeHSOVGmzo5aMnvh0tkLl82OWmbayKVNW7URjVBCMQ4dT73GLafOWTB74eLZUYtmRy2cExmFOjuhjVo0bc587N6gkETwGwYLUUBwWFB4Yjxn43gzL/pEODJElAhCYSpuMkVLlJyxYGGfgUNwGJGCIpUhS460GbKniMiMX9VDEqVgd3C8zXFeypAl+7hps8dNnUnsErJate88c8GiHHkKiDBOpcDgRImSRSRKliZR0ojwZGkTJU+bOEVEkpTpk6bMEBCcCHdYEYrImGXGgsUt2nQMCQ1TCivO0EdmSRl5w8JCKiw8aaPmbabMjZwdtXR21LIZCxZ16d0vKDyJz4+k5KCQ8F4DBs+YtzBL9jwQCPaUqSPmLlw6YNiowOAwWyPhBbrgF2Y1kTAKpUqVdsCQETXq1FfuAGImJDpaVmx5mrftMB1H2MJlCGzlGrURKBCwKeLYxWwsIxQIT5sxc7+hI2dFLpm9cOkss1hL5mAtTF0KG0ZNnFygWEkhi8AuYMeNhJOkSNO6Y3d4YbjAGLl4trN2syMXz4laMgFPV1VrxPsEwrWY1Xn14hVYs2TNrhAgyDGyEjpSTH7hNh27IIYzI5eYxItaMttYgoRBrJYCnrlwySwgnZohcw6N3EWMGBd4VYVqtcZNnT1v0TLcEuZGLZm7cAlamDFn4RLY07F77/AkyXEjRNSglsCEBYHnuIFTwuYzS2A2pmjMKGbLwqe+ntPnLchfsJA2lM4lAg5m8BMhC8n4hQmACAoAVMQWVArmieTMnW/WgqiyFSozuwgTqMR+UYVLlBszafpspAHiFrV4dtSiOVFLZi9YPBvDyCVDRo5Nnzkb4kbgIYJko9UoJgAJuoEEglBgOPQZADMwhJihhsuUrzRh2qwGTZrhPsrCyBw8j05H7hkVi2dBddTSWQiOE9VZ0B65BOs4K3Ip6sDhoxIlTQFxqNBIEEkAySlGuhnh+TfBApgCHMxAayYwxgQbEMYbi8gEw4wN0lCJaYA0YyIA9F/hhEKKiJmwDsywnpkwZFzEpHAZBLEpijsotS8AABAASURBVAj4hIuN4wDJFEb5TzIbBGEG1N8NIlMAY4r/X2QEwoSL6P9fSEKwHRZOoBJSTJBMhg8isUoEPnYaA8ADwKjMFsZEZFpmMDmX0P9oDUSEVhICqtgUYhCAWqHj/6idIIrBYNYigmjFymI8VbBLmT2WLGXq6nUaNGjepmHzto2at2vUqm2jlu0atWzfuGWHxq1QOzZt07lZu87N2nau36x1usxZmBmajAKz6hAtRM6xQ5KwhdEGBIcOGTmmaq26bJnP8M1atGneun3zVu2btW6bUJu0bNOkRdvGLds2xWejVu0at2rfpCWG7bLlygtxLo+nftMW0+dFzZgfhdb5Fw6jps2LmjY3MqFOnws4aurcBXjhseCMRS5LWYpRU6VJW7Fq9URJzf8vDqsgwrDHtilHnoKTZswpVa5SvN/8kzxTZ88pWbYCnuNt4Ww5cs2cO8/UefNnzDd11vwFM+cvmIVnPtQFC2csiEKt07Cxx+OJj43xxsdnzZETdzJiQjCIxEk/wKwUYwgXEBstbGu2AQl+hDVm4KBr2rJVq3btwxMnFcGxwAWKlJwxZ8GMufNnzFuAOnPufFQznAN7gJw/Y+686XPnQZ0W57YlkM3EKlmqtK06dmvZsXurDt3RtuzQvUWHrk7t1rJDt+btu7Zo37U5Vq1d5wbNWolyKctSiplJKYKVykLDimEsoUBqSEiipi1ad+vVxxYLZmvYrAmvAZpgPDy02nXsPHX23KmzFkyftWDarPnTZ8+fNmvu1JlOnTVnyqy5U2bNGTpyTNIUqSHN5IIgLMyMsJAigi6jD2MgGDrRkbIUKqBqNX7oNWBQ9py5MA9blSLLVLYstpTL8gR17TNoZuQSJANezgcPHz5wyJBho0ZPnDZj+tz5ODwHDBuRKiKTrQmnd0h4UuRSjrwFRXl82oRdkzmzNdZCk7IC6jdqik8JmbJkI4H7ZgrJDBBUlmNXwSLFu/Xt//7DF/yiEhgc3Lxt+5mROAzxGLN45oJFCRX3oBnzF89YsGj6/IUlSpdli5WlSpQpN23ewpmRi2YtWDwLLKgLFs2ev2iW84aAdMJJ6/IE2xrbVogT9LNmVbxUmXKVqroDQ5AtJubizCXMG5OMnUApNkxKsVJkmZaLlCg9ZPTYbNlzWBa2ACkgXe6sufM1aN6qXJUa7MZHZ8tSFhiSp0wzbfa8qrVqQzsTEEoptlic1GUoYGZihXXXosZMnNSqfac4H+7LCCAjB5iJmMGbLFVEn0HDZ0fiFrB43OTpJctUiPfaiK0I+WzKX6j4yPFT8SCHe8fYyTPLVKwGFmKVNl2G/sNGd+0zUAR6rZKly02YPiddpmxEilEUwxhMJEmWsna9xrXqNapVp2HNug2qo9auX/WHejigatRuWKNOg+p16lev0yBvoWJ+rQKCQrr26DV7Ad7BEp4DF87Ck8z8qJl4T5sfOWtBJKaqVK/JlgsJQATzmYkVvuExwV/FwJhqcUIxMLOCKYmTp+rcq//0+YunRy6dPCeybOXqpHBrhoEsZBUoWnL4hKkzo5aiTpkdWateY8usKYUkSjZ97qK2nbuT8iAgNnmatGw/Y765a8+KWty+Wy/lCTHuW+4CRUtUrF6rYrUfKlStVb5qzfJValaoWhNA2Sq1ylWtVaFKTTwhl61UNSJ9ZoQ0Y+YcU+fMmx25cHbkojmmXTh7AYBFcxYYzKzIhciujBmzfP78JXXadCPGTAhNnEILETOZAoORRoIBcPDa4IBwOmQUeiFnEusnjAIaAZYYWCI0qOhMi44gj02h/wq2tgEZM0aENgNcgNEyLkGDTUaGmyAd2tnAjpaERsDFjEly2IB0BkzMsBHMwDicAEElhgwgsKhmAKQzj14EJkKHM8OC9IaFnDALHgMYKlwELAkTdLARKbiLkXlyBgrT4kwY/QSsGZBDTcQACEUgGaAYNHrHEMxBHlBAQjYARgdiQ2A6EdNi9jsZIEz9H8vMLIMNeCbkKEIDhUKcNFmqtOkzp0mfOW2GLBEZs0ZkzJI2Q9aITACyYSOhps+U3anZEiVNhjS2FFuWCg5NlDpdplQR5n/vmDIiQ8q0GVOlzZQyTcaUEZlSR2RKE4E2cyq06TIlSpwceaPhMMEgsrFRA0IjMmYvULRkqfKVy1WpUbZKzdLlq+QvXAJa3EGhOKoElGwKekGksbVQcbrBYqAIcTMkQqwUqkqaIk2JcpVy5S8MBObhmrCySQnh3FFiVk4R5OB4VFZo4uSJEqeEGVo4Y6ZshYqVDg1PguVxKvs0mfc6rXxO9YvlF/xGDyEkRFDn8QTiK3LKVGlZuQUoVKiEdMwzCkET9OILCilPeNJUSVNEBASFQx2TRbCcWGsitpTbg9VQioiYFLsDg9ly20DR9wLhQoga45hkBmD4tBAZd9i4wloxwoN5hZe0RElTuAOCtGaCOCJQgBQdEbFTzdDoYy0qNFGyDJmz5ylQuGDREgWKlMidr1DGLDkSJUlpa+X3Y42QN5AsxKiQz37NnqDwtBmz4f6Xr3CJ/EVK5S1UMlvu/MlSpRcr0GeUEorgUU3owb0HxIyfVmz7u2asBJGBGa0wUg55lS5ztvSZc2TIkjNDphzpMqNimB2YjJmyw5gMWbLBQtzVJIGTGAWNiLDyYMUzZc+dq0CRfIWL5y1UDJ6kzZDFFRSKsGPeIXNMJyYTDRNlcWKLFnHQTATfEFSzuRhPbHUbN0uZJkJrMlrImQYddBs6EIEZSFTkHjEnCMSQjRihRElT4thNky6zIGzEwIIP1Zb/Hxdv+qxpllX3rXXerKq8N4sGBNaAECAJCYmhB2gQIFvhAImxaegGmkGyHVaELA9hh+0If/A/569AVzcR/idU1fqkyntLUlfd9yz/1j7vzSp88jzn7GHttfcZnufezGrIU9b3/sDf/Lv/8Cd/6gs//4Uv/9Lnv/xLFEzx3/P9P4jrGrZXbeQKNVdUZOZEzLdRfMyM2qqwnwJyjf7uj//E73z9G5//4s9/8qRY+F/evftDP/r3f+hH/+7f/lHeYvqP/x1e5x/78R/6MYy82j/O2/3DP/YPfvjHfvxv/NCP+PLWJmaui9hcQc7EehGgY49mt/CJn3d1cfcawUO2MXbWJK9E4AlHYUVdQHASKlyswYYVNajj0EkBY6YQfBunAw4jNr5YCHRKYuQ94HNgV+sG2pXIh49OrMjTdKTQaYOoatnGhhzDXRhBNWEdrS7lWJ7X0jwUBqQWKnD9WKrOw0bq2TYy5eezLEW5wwbXzNqSb0ImKVmXiJNYoBBJMCpx5jo1Gkw7MPMFALPifV28pNenvqpP136+Pt6Mfrr66cmfXP0xRr5m4lNGhAwp1Bo+oei0aO/NvbIub339j/7Vz/zsP3nKC67Wf/pE/+lj/8dP9J8/8X/6ZCF/9xP/5yd/TL/y2Vwk5ZenJ9mErnW5vPj8l37hK1//k9/62h//1tf+iP7bX/uj3/7aN37ra9/47a//0XP/xle+/g2+XWv5xcX81vhi2dQSf7J95bppsUFcBbZmR5d33v3xf/TTn/vcD3734/ydH/n7/+I3v8pb/90nliy+Xb/6G7/7K9N/9Td/71d+6/f++W/zi93Xfu0rv/9rv/P7v/47f/AbX/3D3/zqH/zET/7Murx4eP0hn8qf/fn+12apN5tRIrFoXG/ThN6Jfedkrvw737Vfzv/8pF/9zd/9ja9+4+Wr7/tkhzr/+g/92K/9ztd/7be//utf+dpvfOVrv/4VBHqT/vrv/P5v0H/vD3/r9/7gc/NXRxbFQjRJo27aJ1cWuz65clicIBZj+fjK8tcTP3r2um7y6mK9WGJ7EC4VgszNCSfo3jEu3jt37/7uH/zpv/63/ytFPkV8DOlU/nTVdespfJP/2Ve//se/8/vtX/39P/nq7//x7/7BH//eH9L/5Pf+4E+/+od/8nt/+Kf/4jd/9+2X30ORbPvUybuZJXaDjQoPCdX6QxPmhEsYmV/Z//S/+x9+5Mf+/mqjWr9Yvqwwvv2iphdvvfP3fuKnfu0rX/tX//rf/pv/+f/4t//L//mv/8f/7Y/+m//+n//27/74P/q8X9yz6o+32NKPd777JNRe6dbB0TjSpjfr+oc/+QV2+/v+2l9HY+HizNJNoE4gitaLt7769W/87//X//3O3b384od/5O/9zJd+4ae++PM/87O/wC8en/+5X/zCl3/5Sz/f/sWf/+Wf/Sf/9Pt/4G8sU+2Fv8986Rd++Yu/8E+xf/HLv/jFL//Sl778S4A//+Vf/MLP/9IXf+GX//aP/D25edzdpyjRostXvvaNr/3Bv3x59z2fXPW0tUPnmy2KoTr2DSilEnWxpvty6bb8rb/9d37xv/qV7/1r/4XktTBaQ7/ZeLsWjJz48jt33/NL/+xX+apzmt0RhX9xpWw6FQEJOdTbct3mX11/8gtf/vgTXVNLNMk7UpI/ufYH+rvf89e83vnkSqnr2oIpll+ZLtdc3rn/3Kvv+T5f+C1Fl2nS5e7+c5e33qGmy7qww5cXbwdFZieI7BopS3oKV9ofb/Nx4N+4v3sVRzkHmhqvRu3NZJf8Fr9G/sRPf+kf/tSX/gHjT3/xJ376Z3/iZ36W3+V+4vNf+kc/83P/+PM/9/0/+Lf2Xrl2F8myZiVUbLOQHvqFArryqILFn4i6vF68+tz3f/8P/s3L23fxZa3LhZ1a9Sj25e1X3/cD3/cDf+PFWy+ve0nrYr6NumfVL17ueDaEUvkF593v/cEfeuf+ez+5spNWeg+p/5Or+HftT7ZY5sdXxl3hif90tvnHoO8+mf7xNZzFC/671hd+lqX9459maV9mXe2f//JPfv7L//gLP8e15EK+9fLdv/63fvi//Tf/0z/9r//509WWRTOFRchh3Z2kZmek48hBIaFX9hEpEgMBjDkTY6XW35Pizemm4VeXzYyF+4QwfZgzr7aUrYJZPhOenkUXBjLGadpcvJ4LcDr/Oa9e7b2ZVe+JhakCCxMwwcbcH644DBvaVr2zdixAdiRTDI+ihgR9BBzb1SgBRK/7Yo3e10CAYzc4YiUSe8dit0hVEokV7YYjCOtmC9mGhM89ujZ+RXixoiX7qb/jAlPw7ZBa07I91sCHIV2RJySJrycnIj5wdIlYOAI/qRsQwXG61tK6CNzmUcQJSH1Lr8kOBvMPaBtZvLEwYVkxBxghskCLZpJkXfflY34byIunp/XxtT9prtvXsBXssymgZYAOjYA9xSp7ZbJu18fQjm8DJwdgFDFJe7eogZEfDkSB2RAsLKF+oqxue2lYRVidL3x8dtJ4saBMnC4W3xQvDm2lE4+6G7YlulYov3ls1xC2gIWIFhO7RLDq0afNiOnATCfZ3hZEEf/WlC6llWARPvUIgdH3LBTeFhbonV2EAlto0pLDonZskZZ6rm5BOOl62u3XLbaU9V43BPCzJ/DQZbNYomRb5kzFBSYthNzGjt1PvLOyXvFc9/W7FQgiAAAQAElEQVQb/+pf/j9/9q1f+Re/WebSUDtpoSePwo5OVCAOh6SnjhswG35AuxZ+haKe64rSvjktZHHQ4sKnv0NsbpE+2UL+hDMLX2RJ7B5ZiN0EapOUbmK7mJKxK0oX6oLxwM294gNnXEgUHUcsiN4XWLvKEJsx7H1YRJRrNnuSq/k+sgR4NR6zBiqBT5RAIb5GV2CbECyguC7i3eivkxNCaQEoUsdAgjDnRfntyk57aEjEsBehFM6R1FvBRJ+ExC9cVLGznwDuTVigFDjSdr8Crbk5qzaqNS5M62I2Ahu6mCL0g2E9COi4jK+dXYA2Qc52jsAK0I0uNk/eaELDTT+fMozIxXfCK7GcncESkuzg7VZyrUrQVOOlILD4RRggXhl1YvOKg3mmDjyhZoiIRlDYm7CEZZZeMwthYv/qFQcvLNaQhEvFWtNTFouimMB4QsmI3N6ao5QZdzu+GqXsna6XPSIfOl6M194DQr05JpBRsIBEz466TKoCvMK+wbyxrnBdqYdA8TJuXPa21MXY6cTThXDb3YLd1aiei4Vj2UtAwxokJJODshDJJ8wRMb1Ruez0FWP3d4KZhyIYMwGSHHdAh1JhEahlHvFK5Vezd4l3XFWMomxWfd3CaGIFXacmQS4PNaRPNCNbgnM/XdPPRfJJ9LSpbeEXzFfzHfhuR/7eousTIz9T+IbouvksmPGaRbrl9cM/8qN/9pf/7y/+l/9Mnq0gg6cKliIaypUtIh9Z1Yll1o7Yc8mL+PK04Uyue+8rv2nx/fn4ym9Xerou/lPbJ9fQR+A3sHzyCdVSSXZo2jNttqDsMMume3YhpHd3qyvD2i6zRtycKYXN/5KvUTyoK+sab2r0Zb14ud66e9qa7W8aJCbGRMDYtN2vkJ+2n7KeNoWt66ZTlSoEqkaIpKKxMyG13Eb1yca6YpMxnaSWp/Vi8Yu4l4TeTrVoy2JdPC6eFMpefvGO37rjP1tdc/nkuj7ZvoYalXSDdzipygnZV2YnmhUWeneHaieEzOqpTh0IVHWRRX/r5d33/sAPXi5vSSB4uqcs7BoIkfduLqj5ZAHRRYtgdNDZAPSUdb3qqX0/PaXCk67X0ATuClk2TdyCvP3y/sU7r7q9OxvENUqLc/ojbMmshKAUL3w8TrW9s9NmmoQEsgVVZiUTOSbCn9iQGF7kwVhLAJdA0gnftvnePPHe8RvJ2EDMpjBrLY6OaDjYapbZDn6rOSy+L8BIYybbbMoCLrJaBN1k2fjJjAPBsuRZ4201kmCmHrbT182oYNlb025nuvfT5u3gZWGHtZ8GuXW9eq5iWG83sqFUO2yEe7fK9P9Q7NISNl+3FSoIdddvL+liy6Z+piWjIiMY47ogY5dM3GUNeB1WTiA9EdHgcyh5y3uF/MnGEERq4uhQ5NC6wJ0WyzLDqXQzxHKh4s7w17Anft3d+uS6r5/kaYvOP9bsmJhrtrRfvPXi3c99LovS4DDpSSjZgAxAUo1LEkVrlFSjgtEsb0vAZeYK4foJNp4Nr4RnQioUI1GrSBQk24zTj8D6iVSnOfsdlg64EBAUVUNttSAPisRl45leN0/Bt9ABM0T8AYM4/SayYCTYMCIw0p+RpDVU17q7bXWNfJAX1iIBYpXA8CDrufHqa9b4xhg542VpeMgyGoWJTcZF54RKJcReIwCAq00uVDqBrFFl5xYUyVrn2gPixwkWnGJp3CNxwRApwub2SGLfFvn2wFCZrR4mp3NbA6G1EsQkChJtsddYDEwk4lHXE2hRe26BWwiw7PpSDIprE2VL3FIhlYc1RKsbXGljDldsk8bZVABmSAjWQur12hMbaIiBPfvqNCtgBNwVNt9dGebWlgsO1rC3wzoZo5Qz6qLtFlhCqHWqIPKqVGZi/0wQybTTUdSi0/hxT3Qr5yHCjZFIdaA4uTyc4CwHpiuxi1iImEJKIkRkbwuzKBEri+hPrxoAG5WKRRAPbEFKC68sq8tdKszyGolhbZKl3s1ySd4ROlFVGeCqkTibTOMtUyEaCyaOQ5e1XqwL/9z4I/3f/i2FfaMCZoTlkIbP/2KTiFoRueFgX6uWqQ9fx6lWC2vY6FZmPMkTBbFBcIhQE7uRI3g5O5wxG8tG1iJ0hYNmIAVJMTRGiES4G4dp74j6zyPhEY11X/c0DknNsiuQa+O1Y1ESDyuTYCAgWPCkNw2RvNokAGoEpzj15poATcBmYzEjwyfSNL0b7Pnw97RL7lumzhGLZPfEJghyer2ZwUwBENHcdVmLk4AOfBMPfMv8UalDIqqkntTEEbMhjKKumRioL5IXq8NKx2D2VjSooPW4UBEY6eVkouNmpJPTTFDREf5/vcY34fiOXqHpzryZ6JxMbNFRpldBdVjPGGZtEQGcN95jdEkrUh4dybZEF8sCzEQHFR4k9oitUY9mc/cwuhOxdPwYGCGowFuRosPGxyJZrQiy2QU2NvLAUY2bexHTes5CalyoGVhx2RwO9tbF5t9M4g4lKobQ3WtA0jGkSBSH1QDfFMnp87aQdYHEjkS0TnVIzam2sDD2j8hsfkEk3JRybhokGA8zMdxARpDEjQBbzNpYFDXslkFqAP0w1jga6HYQJ+jsak0sxLEFTxdGICAk6WrYiA7ldTckMM/CDgV3Te5wlnmKlKiGb0452RoIvIuJdY3fvn/3urnPa7Gt0oQUpTQZ1RcvEolGVURuChoIK6Iw8uIKG7FneQMiX2FWBul6cCjW3lwOAUfqlqaHyLEPz05/Pm+FmqVNMNxdEsEFjxlnUucWQRS4qYgnTDgSaicGPFIChvz82k0iUUCg3MigrxaViSrjhVll5SyM3LC9Ku1QLWxwgsTOuPbAdpAJav2bX0JLiwUV/EVg2pPDEGLNDhiB0kkCFlsFnjmXIIgyfQBHFWnGiyDjzthPdm0ovC3PrpdSNnvI95/M8LDhhpYVmjiTnVvNXzVKhMOBwUAdwNr8EWVbouc5LzKGZRfZSLRdL1tKWVhnH+TtS7waC0kIswaGJuI2D4kGEKLwtmQDxCNcVEIvIACwQMLeSpvchRHF9qZsWApQ+nZgbLVcaArDza86FcxFV5oe784TMKHv7Q2FtsjS9KRGd7BiIRItsEtkwVKkauA0MMnqMp3AtngI3MisRocZo10HAlay8/VAR8DcQEIgLoPMKhfAPpQEUTu7QwcAc9o01ASVh+/Y1gLA1of4DHNH1sglBBxwmWvJMqheNOrH3A2BkVVRDFY6aqDam1ebXySw06kpoXyZoHb42ZDC4RsXFwxRRJHNZglcxYCnjL03/2AAj7IZTejEEFBdYkFlRWcFOljCJZWgu4Qk2K7nY4dln0IFvSYWYtaBSgi9xi3KqAAWh8Q6qE4WK8TWLqkT9SBpENRHV0sZGwhmt3aHrbYFxVqmAWqylhVkbLgIOF7KN6Z6CQmyaBZri2GJ2s7qZWNB706iNBatscBi9KotQKpm0byXfIHQ2JrXCHTw9XJoGM2GWwAutuh69o5mvKLBbIneOu0l/lC8zB+SV0RaAg5Ckuko/NwAiWYMw7wKctsITYdL0TYshEgQ8mDAio8V7ihcelGvggyh8Ce4Mc4IDHF6d70qNz/mPUY+yHBQc9hDZjWdRRo4AVm+eKn5bRRtEJAICG6xatUZWfj2Di8szPtghCgFiDUfDzjQwrMagQORUJMXCV3g68eiMjNM7IYZYL1SY826ayAsfVhiGrBcq3aRrgccZbCeFiIRe65QBKRPA6ooptUChg4P5nhZLQ+Zub1AUpUSlZjJ3XNcRMuSFyMlMJktpjcXLDpBTGy4bWGjyFU3M4sS4N03znpjHElgVSMhgOpUNjVzEc5CxftNUlGpQYtWYkixgKeUjhYropOIAuQ2YggpzOofndEiQOnkY5Er6FYr3jrntcOhelfrYzNwHD5e0U0NjYtxkld4LBVei3tcMlYWtAciULvLKmx3kORNnADzERLtmGN5YgkJUuNVIHIgRDTgHcbBzdcwqHhUY6gZBKII9CZQxjm9RQgwFg6PHD3cmxebeWSbTQ14F8DQ3ihzlJbMH0XdFvDgdGtQuiJ1whHyBK+VxTK7zaMJFlC2EeKukMANo0RkLA4aDXB/ioUlCE+Z+8iLiR4zzGnVC83SGZioy8QzSUUNJRqQMQSjUgiCcUgMq4yiGE+DgLlfTgkWk6Y9Npq6NA2vubQsUbRYXsJKLKohZVK9WAghhcO6a60XsMZrEVtN7BWbK7M0S+YPCKuDaaCXNQJDJa1lZn60SEIwjR0noesg0kHAw4r7DYQZoMX3WwQsbAaQxi0Z4AzLZyFLNEsWLrXtDvBquxDUUL+iqkxRW9ijnBCLneg24RRwEbz7rR5ujGBNw4xieIg1qPbw0iWGQfPShCCPg9GRLcrHSLRrNyN9aZATino6FXsiSCDDSrwsRB4I+Km6ZLOcXr41RqAuTKxApwV9RxMm863SaUEJNG4TgwqxLF0uviwsQYGekUX3RNiHQ09c+mAXlSHSEWzADEPFZljCEB7efgtP5XD7dYS6fUG3YOhgzomkiGZNAuvFz+5gIN40dgt+1sX5hCi1IUjddNbqwQY49cEdCVkWnzYLL+dKPaEJRJkUGyveGlikwt132amiumiA4Eqw1yMZWDvCKJbBdpTVBpzJgru43PTgBgARHcEywnQbxQWQgmthn9cFTXLPj4JEi1SJ9cKKEs16jAscLAg1I+EifAUqTZBs3+oxqQsr1zAQhtOd1BGnJ2hY4IlZJDnVVRkhxQFdUFnuVItsS4yYpSDTWQyZU7OhwT4yXojO6642d6XgBdoWXeQH0y5hJa4W0UIl2CcPsNa0iUHEEyYwM4bAerFlUofEKjmxVgeYhXTzdgLS84im3m4FQgNxzHKEIBqIhAjCoUQyIa4DUiyEYUAXeoMyZGjSuNXWAMuIvHKMEJYfwyEP7xVmyMhQoe96Bmt+KvEv0f0e4ICjCO/N9kxGhM2Vqq8ejhvRXPQEMIk2OpPSQSdRFZLR0zoKjBmnINdG1IarBg4fFwbLtmTNyH5LIwZxSbKmeYTN10amMRwzmQAeWccae5lPAeRqeejS5pwpExorhnizEZFBqC+0sFIaXDu11XMTmChmjKA6E9qpdaxhkGDEBLfCJiK+IYhHg2WiPQLeEXYgode485nY8SolVOUbSaEYy0i1GIOXBwUBXc/MjUV/jr2VHPw8wPEFLLpowNJpSlRw4BdBnWDGp5sRCFVxl9iUm9dyu4GYmwV7KqoNZglPH1AtnoOpv1+heuvEi2mAELARQEdjsHteal5TkQokjZnT0hBKkVIjVA1ocPAQMKNAIkhq8XBRhHT7dgBSNhYoCC8EH15BWi6H9QLgnQCSEoWyws8JeGH04ImFZMumg8JHFXTCSyMPjOwIz724wJbxumN/cA0SLQkizO5EKMWSv++RwOJO6lIbt5BSK01SnATANoAGFiDCpgcePOWX3VVkaxqB4yRkfv5JTBJuwKS7SbetGAAAEABJREFUvTFgQQqDWCoiXlCAGUuIixgDIBXOAGsqyEGEB01tGQwGFkZNdCW8SRSM0LLS2AyWAVgjwAhbJ+oHhuJgMl5ls3bANW7WQoUlwbJnBa5DskxjEPl52smLF7983u0MoUAUzqzgJRUpsAye/AI23NQOdlMVMAuag0ccoRkBKMeTHbQSAKix05ylAVhtgZu5QCYTMuIISCYXHHUpKAzUiDEHiWPcrAs7Iqwt3nyx2RaWQibM1CwUAgEMsvbK0gKMU1h4F3AWyM7q1gIRFLjrCyI0imv2DVMnVpxYWsDYsYCuiHVuG3LFWtndRpEIGOuFXBGxYU9gF7sdCAlJb59dOFsajbfphXFmAayfSXgtrH6mriKJNAx4leOVNJBnx5BhbLSq4EWVzB8BTofbjFiImW8WF+XqZzhoY2VFYhINI1cpFKCxkLteDIpoLU9vvCNIg+xw89bM1vSMRRGLHRHtVi48LqcRQDJVUEBGBsdjHImFDpat38KNPjCpe08gPZBvYRYhnGE8P4ZJAFl0WgNZlnRbDkJdNV95YZGptUwN4+b2PNVGgoIQAz0i2aYLKpG2vbF4awFBCA50CiddZaF18RENYYMxN0WEEMxPBIzjrIU6JBYoEhGoJfDsxYaNwC12AjsWYDoZsVchjOjUeFS8KKlCCtlwNFbmD72epmGmS5Ba2OmFutWhZ2Y2RyL6LGx+HxZRBCxjVsMpxMzYm0nwtE8KCuALaguyyPiQ1eaFNHgwNfRJsBjscMHLLSAzvz8SOoBuCzxjIUMPH+z0hhGOTKB7ohIbR9oQOszCSTS/oFUl3mS8YSgDBsbp6uLMD5U0uEIrIErTjjAmdCDcNJARFCQJxpuzyLgK9pnhx02vQMGtVgLhYNkSpy8BjSwuADUj4UKo15q2WyGmhjcQMePoQLQxGAwVmdTTawbEoXqSsAPY7VYvkU6nNXY0ix9tQKoYQvjCB5liGMHeRlz0MisI5DtVcXxp6MzpkUxGAumGrNRRId6iIc8IFgbIZk+OlVfGOOFiSnLCV0Fch+i8wClZYbcnEv0MJHdpKbE2VtGYUonsbHWXw88A+NtJ0TiMg1YTUs9mDk99UgX4ijdrFw3MzSK8Y0xzmSgRVXlIqAcAFm412Vs5gYtiige2gdMxwo8AdCoWUNjOhLf2iNa1NCHw6gGHdXYAk4cZjQpr3hRwUlihgJQHXBBEemUGzaY1ADuWjup5ERtZuIlvLEHimBDZtAYojGUOQmQKgFSUOLESlXQhaYg68rkAdnpIwg8S0YinS7YsGorN9/QoMvN0BrwwIWyXGmYtk5XV4iIHXoTpoGaWPpWAaho3gWAyEfOmF4hp4CxDPOnFvkVhf05KLJoojbXSbxTs+WAhmSzPMzuBjneqxhoiVerKkOHtdqGpD5bwX1qwNiHkIhYjzirY06QYWXw1Hukmgwj7MTwdiqTY0NQ2Mw7mvfnIOniHmUiS1AUXliqN6EMuVIyEFddpkOpSKH5AWCi1wKow7xYVmT+qXLArFBMGCmDSm41JYS0fAosbsyWT1l2xgzSqSoS2U6FLJO8GA1lCwPQNwhDhI1W9GNDX0ABFZqQe8+OPGlAw9R9aHP40SHwluahUgrNkMEsNiWo0r0Oh1EBoU2fY2ZLW4940QnAoQoAiACUKzzyi1RS8iJYZJVQPFVmOKagiBH9PuMwcA2AqB39LWy8oy3joFu9S1w4bKiRnRaRENgtnvTA7UGtqsM1yIoo3xCMTKlB8zmxH/VZhCngU4cJo7pOFgIrTO9kbSmRGsunEopsQvEiqyEkRFiDkwIU9Mp7JxXeHxaLVaez8lB+ERD1h5MGwKNtwcDr0EE953RZ85uGowrmCl/DiZ2+juuoVhqJbBoDp2HGTlwq1QFBmR6ANdFe7RRkYFARNAikyQx8mWERCHolN5f6prV6ogZIygmcB5hGmAkL9Fp+4LrMrM+zAWkwACYDdwBCR3GRJSLWzDWDwsYXYrOi0pJXzRMK6GGarUSmhY8jbmRAA+AmZTDVQj6cAKjGBCWedpCsSl00loeAhIODMHiJArAjCdnA1MgFpPAwEK+GGhdWiJGUYPyIGVADPhvGSCysVYKWmPShqEjlLDghmwhFUI1mB0tXSraW28RY/BDJ/0NQ6iOW2EMbCSww84XrrOELbt/3BjZHACprXIIj1YhRJnvOKBBaNaGw7Q4huls/bBA27iRNTZWLbhXHmoQsLxi8AM9VDjpEJRWSEryM+YjdQVrjF0RUmUQRbuLkv6VawRizndy9CFN6sYsjRZJQKK6CUYIsGvCOe1kQCDKNgJRzyEQ4JNMQLJUbuozfgxvNwcAagkKLC+C2xENVuTbHAxFM61mddUShMxPGwllEmAoVS4RlTI8y6Oscy3jBGDI3czJmHASPbFgk5oJWbQLbaurxJL1rCIPGZhdtARycFCCzjZNUw4NOWWKFUmcgILjqAY1bTSRYNv/C3p0LM1I63E6jmu8WyP6rVmioJBr65pLH57DvI+N0Qx6JB2HoolHrwSbyqURFU3j7AAYMVlVBlE8kE7kBWIRYEE0tagUGNBBFjTarBOWGUScoGjhkXS4hwklJt8PHVxBRRt7kEeFIPYCuTtzM2o4GfLJkqMQIp2iGUcrIRxObzdhKLUazCkJNGagBjKAOwWBpEjcUIDcFGCutBy4iJYNgwoKr8MbuHmY4pqNF8Zqhzs1jijJGoujGquYBQMw4yaB7DiRc4uIFgsVpzMqWOS0JThg6vaOnSIKHeeiEZY2WsgTc1QEKffYWODLVuPGhgC4MWo3nULF0qziFsrtm0EwBTvWl5GwzRq3LDBo8AjU0cXWoiiE2xGfJ+dpAk2zwHr8ZaYntKGuGrMsvFTHeg6Gy8kdIQdFEClZDHSOFoIu5/yJwUVkslZLoNjFeDENGSHscIytRXDCLppKboUVqskU1qeez2FafrhGQzk7dImAgUhZEDc3VgLs/uUBclicbvCXQUU6eDmxSVW0Man4kjhLJYj9gK4KSi5zxSRGEAdSpBOqttjKAKDrJBX0rVaYLAMbZDpMAiFWDXq7qJvk0HNkZ4Bhu04+2OlMBYKpumKb0167CMrgs/NkgXtGhdKJxy7CUb2IKlyVNtYrmp5ol0jfESq/DR0Xgx2NpOMGLlHxI1TOLAGmYZfnaWBHiAgRexEHKGeBFOLDI1G5S5DzDLGud2hRoRtIzRpmJtSdaibmITr5qTDYfGUtkEtwSD4ze0qP/Xdem6oyziu6wNSjYW4ogtMzxYMW1sIY7TJRUhFM6SyRKaIBENICNGyqoZKJnV8myj0RdPjaRECoTkvP00NRms3f8R7JRamoUBIPmXLBJRxmZiXyaWudtCMWSHDl3kinY2eJlIiqKn/0t0Td7rMCMCU/C1Izummi38rsn4KvRReFlxt5j6eMgAQPJkCkwkfVJb5CtR9OITRreczYg/LS8668AbEkNDDi+7QJ1dY40yQEqCnv8SzsjW7vWiwDcvtvesCGYoGC0NC+emAVGYShv+5VrTKKnzgTU/MSLTwooRUUT02Y5rDSQV3OL3YvVmAVgL72sTVKrdXayQN5XC0VjKskhJgg0kBG/BYxuE3CaqIISUGzWsSBJRmDW7olkKNnOBtwKD4BRwOQrNFIioELcsgQmvC+pG5KaYCS0yCAIg34n2LpkgjbJIRyhmRPSaNY2wjNBPgU0CbX60g5SIHVeNCp/mrpsM5RsHw83HacI8xWWPTdDWZNjERavazMRQKaUKJowKR81sUhKJAiJDYqEF+wjezlpUaFY768FCjcBF/NWLcHr/jusase4l40u6Fxwo0SxriQpwwFNgM2dhFFWBVhsvjPBXlLoOJHymyfwFAyMitSnklGwWx1HdhMaWt15y2PKwAbM5PoYh7QBtYwOZe3KQhVjU7bUaqQ0BZlZBiQsuSdaFItpLIhmv2hBIltUYonVZWMkQQuyVCw6YcUFWASkSVuOljK7I0We81FIAOxhKAwn7m6VBDda32AybqWsxyNWJ5SstWhqLT6Eo8hDrNv6laLwdsG2L7HTw2Wi185hHlFAGtlIRW7PC5JDOUT+1i2DtKAKzvPlEwGNMV+KdJTjEhIBx59AiwtEgdvLYZLFetcJglIWIAPeSqSviJQk3ky4TRLEhiUyOysyo/XIy4Zex2ETBLGRwNw/S6GcOQFQ3AbkEeyNEu075kwavKnhGKoMyYZnsybUCczZVsguFoO4ccNArepEwWVw5A8XcdWDbcFGB2BfC1I0gectix+ErzOrSVlbLUysBEjZEBIs6bSi2EFsqM2w7GO3CQi1khJuR+ILhXQDCHq0GwEJ+UqgHCSgiO5sACnxohUGFj2Dr2lwQRqq1cNIJlSf73BEZHfMe4Rk99UBnGn4tDJQseBamHWrAHQLDwEQOBJZr9p2a0QGo39NYpm9MFjeEC7NkuIC5oGSnWXh3JGBSaIU5m1Bsg8NMlRieL06DAZ+JLzPklNczVDcKO7lhDszR9mT1MUsQCSeC1uyVpJZlA4lCeaJxrFiL7LRxYKTiltKHgun1S4QA8sEAs822WV2vgfCBXSKIp4Vqd+dCkWwA11VtaU14Rx4AMDpUmvpkuw9pZEm3pQqMoFp8n8QOuTKCORBQ6pZ25sELkjiE/WTKk1pz0AU5UFRq26yTetLfClgbOwuw3pgW9dq3BEndA8k4K0Z7c/aNjdhJ0Za6BVtmUeA2JnoDngsAjkUEhKPsKynQWhwBrk2N7UMTGAiFfK2pAEAFyEVzbZiCjfd0wjCHn47BxRZttYwFj8DBiRtO1VyRAo5xkwaDYOrJEK1urcpJ+gbXzUzHa8itS1rCViyujBGQ8EKLjAAXvf4bk9qaK41sUYEKIzA6OYmCzE2KGyeisIRFmKKCbLsh/I1myugm5yQhRIIooBACjvUm2BkIklZHAxpYQZk9SO3zwIfCItbkAVJL+tOUYKo/3TQ1FLAklxNaWfMT0DZGgtVGFVw1uQ2dEEhaFYpak10ow4oYMVM0eRFQTyUIgCK2QQgcGtMYBdJ2I22rMzABIk1i8xmdaw4pDgd8vQ6a8Eum/shiZvNiTVUSBlYNk8bCGDfMSM+dmFQ2xeNFNDV6ZiLfwM0LM2TexTtH0UlVE/c4hMq32COgmeulRfymOoUPe/ekNc8FcQxJVja/XrMb1zSvEkqbaIgwUQla79xu6u6CSccjMUvAvMuMIG4fDCFO00KK2lEsmWdcXELmLbF6UdFxlJ8atKzh6WAMVBSMRhYCPCSwDUU6kFGFYdVwmAgsgIHgdVbt7CAQjvcadnMsInuFwB0XLQ4dRch71odChQVODp0REwii1cfNa86y+9RFlY/LRpFi82NI5A2M7CKP2ySRsyVJxJKOCmWBg7vhoHv90Gx1W5QgSKDYQ+GEuZtYEeLYMOHq7hAGIOEKoC4DJWPOFcIsDBG3Ay+/LsM9P/AoDwgvM8U5G5amU7bUCNiSkI9+FfBUitQAABAASURBVNkwEsK4LBdESPfUwM0gSMSmYCOOKNtq3BzKeK1pgQQPOwZKuGuP+Ucbq6GATAunp0Ugq2m+SRqc8urIc+YQi0Iwm3ndZVPDKJRMs4Y9gtpmEdAUFn6GJbJFMM50Y+NgUhnYgYj07XUhv+mJN4Ho4EuK1F1mMjtNqC+W+Km5WVVp8GZmqUsTQQuoLakrQUf6bPdNKWTki82WhlAepRHUBSotEQhdrGUWXXNlkuJmu6lpY1Q1wYRcPOaxlAIT/dysMbIUDO2e2Eq32BE/HQaOGiqyZcQ+rFpmF1Alu6qkevrItiwaAyI5KlBKysd6RQX0MCtn8WItALEQweYSIVa8w7YSlupijyS1dZcU291kBVNBUWGOFVwYIWLdmBc1Jj1VhQPivbOoYHtAJEcgHd3Y8XjmejexywtODt02tsy+uTCuZwlFpGS55RqsBSn1JgjRCUAESFEO3g5YkmKpj+WnNLMk8XlPbHxUDYwoDlUGKF7krsDGixEYpa1ACkqkGArioBvrxDOggKdG03S7oYQ5svGbCWYIsZRnZWEar/Ejm0d4jbp4QJHRDeHjjGGJzTKbhm0JaCxf5m/1VNSNSBCIIxP1boqEgf4Z4WhsrogGNBHwbEGwddzwyEGWsdCD4J6pabLr7YfOsAA0EC1vIVi20cluxJIs4EUyRRfjdFhHXdtanfsQ5kuHCW1tEXbLTDwJBIjMQiwAN/HHB1VlM+DlNIQ383T9i/U6wyWS8KQnzpFBJHVHKgARCwEsiOhOiUkYyRICOlciGqjESjYjPtYYbxsxvHw2wsXDQS5usBqOkVh4EDCQWSlV5QBgeRCJ31J4QULOelvmdUOFPmUWCIETkhNqZlOSMcBA/SkEz+mQ+I001xwLiLNudjy8F+pfRPhnAIwQQLy6BIWkBJtSmVpEOlSGst503qQXt4L03VlM0grGwICF0iASzDWOO7GNlDDQz8Tm3aIWGxNvka4QiJzNJYGk+pYBbF6lmGgRngBgVhwa1m3TEWRlfoCCJQSVXUWGpd5FYO8iUcHHSna8LNsRBWzXO5u/QiUbDtyscDe8TyzgagsfDrbX5BRWtg4rPLJHpT4J52bwhlmk0KQIMIglgkxDKLpmRPPrRwuaHaIawJtqNDyDbiyEXUeoaJzaksIInESuAwtBNTCheHPuzADH2LkC6yTQMBiTgHXqk/SAKYJflchocevRmLlMLM4cAoRskWJ3cVwwvLhkVEPPERsdK7Cb5Fsjlg4z42c7caSmAtYRVesZLYU/bibZeNcWAjV49U+wiQGE6m2lyGkshTtYDZuZWXMpkNAsbxMBkgkbq5NO0WZeMWrIwdaCoxC4KAZzHTx0+Bapwqw+qheDirUci9iS1Fs2UxU27Fi6C1kLBZNkIk2kanCWW04pfGNiEiVEeIjFLOhZczBovAiY2R+uypI1zWwawk0TZq7X0YBpGpBgorxwMyqSCiOE+MOjitS3TavCZMu45uSQSEQIwXT+1WQZG+4WaWZ8ChnW0IFhwRgOybxdOMwrQsACH/iYgCzAcLlrfC5P3rXWvFszAnHagBqk9E8JsVTGuUgiloAfI36pKfA2iL1wmhekpMoWPkTcu8xnRZBS2iZh/aL+tbRXBeR6OZOujWiMBe2KosFnJtjBCK9YBiEEWqc0SRNitRBTs1moC4pnq/EwW82xpQriG4JYRdNAFt2q8AsQxXcSba7k1gQ0CV+JMeEKVbi2NClhyCAXruIxIjFuKq4EAk06quItn79VYUZbxwNlMatDZYcAhqAgBfuaV01JI7q0Hgh2CnAkrGYvJFGqIdJYBQES+0rgwCRsSHUQi2bf5Fpt81WUAI1XtNopHZPj8kBPZWPG7V4wk6XeLWASu7kq9KhWAM+qddsWESrhf56XaCgh/Zh5D4QAaVfcSZRjhKI2BE0m2WosiqZViBFdl6nWHTjBhoxx4bFk/qjNEDcJGLZp1dQHs2SWA84sg7wKy1Lh55HgFwVYbbPr/HyIwHNcsMky+Y17lm6keDGZKlFcb4elagxMKi8sMspCI0UrhBCD2sKAzB3ACGRUKDszEWhIxmEbKxXzGiJsy6I7eBnwomczi2Lqkm+xsRHdWDLh5UuDhUuwFBemrmVbtK6oU2EOP4DwU5yyECB0Ixotiq8MGE8JIFQtlvtyLDyIEGnhJqZeHtLjkvEYEl1GY2s4H1OSMAZvzYqpWx1sJt+OUkIwTYBF6a1RKKmdSM603pGQi/LAhJlKuSdNTg2qZakaBExgg62ZCbHajIHZ85CCWQ1p/BASKtcSYjUNAQu9+Cpwm31cg90Fu16WHQkmh32zJCyAUESDUKkpGw1hwsdUbMYYmNhXDBHvVWdI6uLIwYpgc6uJbRV9KoLTvPjSEGvD4x5CCLehiows0EqLX1wWYSGUXi8+evH42VrxmR4AMmm1VCBUBj08Qmgi5kYCZmn1hlgQGE5IIwE11iIiwE8nnYbZAQ2moRgjQ1CBx/hy8KxC8tzDYzHALlDLOA5Bd/CNN3gNSAFhzbpFncIhcvRnuBF2jURVxjwTG7eJU8MRsNF7ElieJYpTuj+Oi2OIzSeTwoGxngrndzYgbGbZt9Vpng1cwoDPVDCVUWHNZa8Lr5n7FFpWkDYEb8wYhWVC4MC/1dwqKN207l6wyeThGsyWAHEdhObIlhAkbaT+VynQ8qqmRoJmN5ZI0l4vW2B8pkGCdLzzm4bxbMASAmuUKjBs4ZJkmCcKUWEY3Dht69PWr4qKhIXVei2xWmMpDAuSGrCbjoHQekHxc2+Py9GzwFrIJi8BYEUnEi8Y0apbizBeBUa7liwJhRLQTCTXDUOZyLptbEaCxGQQ6XC3A2nszYLT4HY9okWBtj1oku0LY2zRpZwZmIUWBDrmwn2qIid14ZYKUlvd4yUIHYjCkusHy/6hyu6J+w1ue0zgNfH1KjZmdLSIUyuXz+dIxWNsWRLhBaPoNLSGo1gg+5ytEHqecSuizVB7ZYuckiEgq7uhFlRiNEgmvPONrcbDphwj8hE2YaqWRsUdRxfNHMBRAm/wYuQ6D6hiH0JSw/GS941AQQERhgyCUlUBzjGoyUUjxHrjJVcROZbmEw0A5UNGCsn8AQS0sOpoiBgs7iWWlD2ykUWbrSQeEVOYJJMUVgWBvisLF71bihgwKQfM4JvcXPkhw0TABoFHEjCrH03iCqT0Z8aTFwifw3G5lmHx1CAad46xfZwIFCFOwbHgFC9ixOpwE2oAYoj4fGsILWrAzNfATFQnLI0hFMvtSJQDg6fCwEhgSESLUUZGqM5jWeRHSkOqIdMNuzTDptyNB4XyEDAPNwtrqsrz4AVTL+YTfOFdGZ/YXTzCUx3KqQTdZWTOzCesyJqAZixsOEVh6sgz28KMl/GsoPFHn+LJNKGxFgJUQiyAp/lFo2RG3MJYKRx0jagQIN0E/LAaJGaRqrsiIQgbD64qAaguzR3GxRmRWJUhww+RCBc7bsztkJ4lPpfa6GbHUf9t5VYLP4sfrg6CR6qjKUTzCPjGQ8bchM2/RGLGAuEWQYNEPyHSmGokhGslQJrWMARwx4s8wsxdkQgNVVBxTCMgmHClQUYmKamCEzA7Fb1pGBWiO2BsVAO6DagVy1vvLciYuYCMGq+oZldiFhg6xSeTLNUCfWdV0GeZRQxGRioEQqcAAWkWROO1uh/YNDwcAjBlNHxFo4XL5puRIAk/Z8pEDY1pzWmmMgnBPPjoaM9GPQsmHsD0ZyNphklNMFwV3nifBTyaTf7Ua0mzCknIIOgIKj8is9MdQzYP5vEyoNFvRk15kFOH2nDR2XAUzGyjzicxg2THoNg4Rd4biWWLDMUXBXRnLNXMgBaeVkwMXbXC3JAQO4xOAUrwsuDmMrQtrfPwRHXiRdDgCY0xupZbsBrG0B6KWzxH7rjJahCVCRSBfbVDAnKSvo4UkLrFFx5LCCFX0RWZ8TYpRqTpB1YjKVCkygRKZ0vLF5QmgaVeNCYUUfzZAIQG1txbhkPjB8qnZP7iCAEdOkDUV7lecVjKgM8IAruiNVXcjGM1OdjblsP2GBjiXHHmg0CgCyB9EKagMQkBo9qSWV0BimIaLpdjhmLOU+9Iu2PED8IKu9AKZ6aqKu7CEXKEpuUfvY/RII1vunHR3aScoMgi/AJKrCmOCtFkdwRaZFgBBjTw4+jQBy/7PDR4CanR7Gvk+YNpejpmRpJU0ZzgkWakADpcFFPDuWnoZEhPCyP1F4Nxo0m+YcdIMTqt2xJ+rOENtau4ypqGF2vFqSf9RRkiQYKhG23E4g1HGuyIiT1Q+qca5QFpnGhxW+8EFjomgIxpADO9JAJGGATZwDrjaacqHMJYbZ7j9ZiQDWPZSmnXijbTWE5IMPAkDAooAlFK3SeENEe5ekx4G1e1xXdXK/cfGnCdXgASV7CSKvIYGo+hA4GcZxpb2nGw3lCAPj0XtVHNuGMdL7GUhgYr5SGoIaOZvy6MUAuoNKQGHtGYLNHJqsyZFCWGKZQhcwMgxssmt8Tii9BhvRXQBQhzvROD4uE+xkPUAk6Y8QujwHi+GpZpeC0aA+VVQIICKIJ5ZP60Y+0UBr61QIMleEF1n2JaczBReB1AwQHj98yORIx+4sFKgDWNosowkBGCSB8ng3nYoQlCHJWZHrKV/bwAbGwFok8wY1jlADTCsHTQtEU83jcBsLEcXFwsToI+3rPjfKaDincIDKGr6JDgSrPbjKdUeI+gBqajrIFbbg7AckkMW+fbL+MYCVlMpaUmbkTQYOyk83Hi5mIjzLQjjaIwnTRGKoxJXBbiqahjNQkgP2zG2SQYIhODMcD1XBVAHDe1C6HO+EZcXW3ha44Cwaray2b7xgGFoAw5ugcLoSDN7CVwPFx+GLgQYECCgABhIeEomrzVBJpunBWNzNIAGICwDkMFVvaZGjwJQbPGegnMMUme9/jkwVZB+H3YqMRGBodTGHnoY4vcL6U4KFMAMCyRbHNYCGPELHbp7Fw8Xttdry2aYyPc8JBho2MiHWH2iLeVohQ5gExq19PHpxE1XvalzDBI2+aK8jUJrukI+/Cimib5jQ5+aTRgz91HkCB2mWevEI6FEQfjnowIOmcPfphPeE8m26o2h+CTCHxN2lVxOxUai0ezUFagWLRgh4gbifDcj52xhj0zPM9FEgflWEWSCpMeqsrPSOTCQKuRzANgJZTDMVIIy2sVwPCCxwcmeKTYGFPrESs1HWSk2EfE2B6ghSMjET8FCUFuGzBcycZWNA9EeNUGHG8l4+hMAZpdQglu6RDDJhp3q3qDoOkkdTVqs5ERGnZcYWUUTRS3qybzYc8RsIdTdDVJ0DFiZKyy+XIiQgAgLBsJO/FdCR6duXHGLyhgDkWIBRBUNFaZAZWO0Dps3jpvHUDdGzN0hZYqlVVNYAFEp1Fec5xA4lt8MCKqsOEc48BYQuArIPjHO0dS/Caws5qClzmkgIOOUFSnAuArQ0ssBmYV1HCc8Q0KAAAQAElEQVQjxDa2kYJwQidobNUnviu2ibUYyiyuP0s/xnLjSH3d1IQonqKZxg6yMw+WYWAr+KVytNm0NIsCUBk20u/57coY00rFqZMkOi0jmJFSookfT0jgAVJOGqS/4jV+NZpYZJz8eFg7bDO5sZCMSGQ6gjcbRQCiaESSAVe7yNNOcIDBnF6iYTYOt3gshBea2iAgtCdnaZZImLT5IzeV4R+k8SMzIkW1i62QkEeZQWLDfbx14UUxDDhQMsapQNNY38z4Ng9ymCiLkN6EW8AJE1w8moZneBU3p98Y1VTSYInD2d0EVkthWJ69+NVm2BpG8oTLQIUTBLz/1Yh6QBmE2RRqNirdgCibKBS4xltxLMGLQgRqFyNmMhFMOqoIhNjUwvDvztWDBRkT2skNOUbiqQxhoyfPREODrzpGUqgNy3iQQxEKv6WUEH2mjNcU0uOm2nBtyoy3ayRI6hILpBijMGlyMzYQCksOg4SCqGmBbGrFcoAR/tbUR0Q4+BS1NU1Tp6U8J2Ce3W38gd28OIgnRcxP6Nx88rZYDnyRwWw8TXIMGX7iquaWtzJI6eCCzENweQ6ICHavvyBRB06hAYOgCpNoQEdDHB8KxSQNbhkDM3cpeNgX0gFFvgmfjcdKV0MHLXn+SKKqUGrwRTq7wbIgWdLhcAVkIQBBq5Cuvlbe2eJ48FBIu8CmFiOoDUKRC7FpGndE8uoGCq0FzAkVMcssrALAEqLSh5u5HbkTyWEuxZEooyFmMTXOFh9cqedpTQgmgNu5uw2IgOqADAn3jGA6W/C4Eg9vNR9WBNPI4X7umCmTvVOpWoE46BJyeuqj9P+ibi1b7qDmXUIETdCytBZGLge+zffbpF31mjdOwqe4bU2VW8CXGkuwhd/LzOL5lFk1Uf+KAdvbWMoDqU1VowsLDMYCrCaj6mJ5mRSMFIaIYs5+ueqymG6xC9n2Whct5tKLSJGC2ZHc3r+1JRuETPD2kkRV0UD4r3/sJCIIAaMCHOhKYYAdG6bEuqxmSY2SIBEJq3Gw4WQllCUv/thLIra12dZFyUV8yipb04Lc81WKwimPMKq1Gs8OUZrl6gt3y0UpBsoYZtbVCkyLrpKAS1u0AxMUy6gihGnxtNdbs8mVpa5ouMAL6OIhv0iSwGy5ffHTuGeCl46F+oFvdgwAEJSwB5KJZMmiuUtbsq/BeBlUyLOEjaQ6jTz2ktFKJ1JVlqfhJVgsIhEwUO0g6LVKy14WVa96YmSlMjvUhUgkS489ahtAQ1sMCim4zKQoXgdTnGImvNaFcACSt0ANZrwS5BdJNkl4WGYBlkVAANWLZtnUyYBDPVZLVvHYbn0FeqGsrspZNlqkLqe/jUuWhFWwY8SVaGxYEEhYgQcvHaFeJuGlOxLTBSCR6SSasbVPppNX6IcBwdXOA4S1Kkq9XnhxRO4WT8UldRCt1UDLzLOTLFyL6+RpLFNe/DEP7wtAtWUxkkBqpjJzvHK/eMJs7DyLWLjEVsjGgJCtRWHATRW4Tr/JsC0MkQyMgQgRWWPjJy9C6xLzPDGtQBkTFIplOMJldkwJvCnKwn3yrsWasgTWvrC0vjtkBADzqgeKBWBdxNviWnZjZU2zTEPkMt2YxdKgYpc3Xox4paYQxfUgFzu81A+7qM4bu7cHEfBLek4BAT/7MJpQ0fiEAjRVYfHsM0u0LcKFVzqx9qLmy1oWfGq7ebmehS9areyARPC2prl400QjDyM98KjMscWfQceLlOK7hhsHu8cuYqVgQLK3WOq2c2X3tMVoc/26GktUZlNiK3Ng2/LGh2wHcnbLUY3hDQyCVc8UEQmFvpkl3XZDQGKShZoD+kJRxrgNRqYG0fAaKNkowCf2grN5a+QhlgLAyimWhN7UrMbaYpnV5DJLlljaVcbIVmhrmN1Y4zWxAAztiQUnQxLRSsJmeVmLT6uIlc3SIG/IEjw4ZdHcVdjBo/D7REV5ybYuuox3wPZZGjNuGTa8aJI6mtsqClg2Ol61uRaEuCc4AnVSjJFPLgR69XTow7aoijuIXDx08h6vDG2iaoIZvrhrJm2WpOSqMAuvS2LZRsuUJ4pR1YUPuzUgsQESDl5Ye7NxdocFlaHudtjUD4nbiBaxm5QN0bSwwcuqwwwSXg3SwV5NZYNUNHiEF9pOF1QcEbplFib7IjdyD5N0jr5euIzRxEsIEuWhQSJ+KZKUhelcEgsRJBCdo1TMli6yAMOLWT3T+S7LbrVEZXup+wD+shaxy5Dw6OZlMttiZvIacxh4kC7CJTbcopGL8jG7Xm3bKBye13iXEAz7Qs2i8ukLk8RuYDYCk9IBxV7sOHBRQiSTAIk6pZqW03DL7YZfyxcmshjRkgmTaVJfAYxoBNeMZDMsG2btzohYeD8IxdelWFIfUVV1ZS3L5A5opL3MUpYMblurs1i42owFzyIndmIxIjimNtPQkQUGCCsSzBZ4yZvl25WX4GHDHV78g+/dnRCYwN5qjjhFYsAiiVJtvN0owYy76oKCmi0jlESnoWXx9RdYL/DkvmQZXdSEJpr7wAT609iMhkdhKAS0qWpS9KYhsBuBei0FL8hSK9dwbCGdZeyeGz6/kcbSJsIVkD1Nqklt8GCutGT+ROIf5xgh31Lh4aePpsHiI4iV84jmLfKFkNiMjdEIOIUXRrzOOsV23/gi1Tk7NYJk/qjNwCbcVI4B2UzP/VN5FjjmZr1lGb0DKTvdHipUkx7OZAPfjKFmT5GH48A/lVl/wHzGvFWvsbA0z1xLGNyGo92TaaDgjsWxbKMwUAFCdZRKkoF7jmHzjw6iRB6uzTgETXu8NlHzfkQla2YRaypN1P97U6qJ9pW7Lh6MZ6kEbp6Uln/nlsyItztJcFWxTez71rRO3pRNyBZ/eUE0p1wwyPZC8DZ2rMggJApS/aCZW7ld45a37XGBxScsOs2xcaFQVStZhHtrLkq0tzcKsUSCqOw9admELdByuqZt3GIhVxylA2YhR2G20ANIKnAYeKdwCtCoOJBX0IFQFZW0Igzmwcw4nbePdx7ecGouTAS7J9k8WKoTi4bXTMQ5yNrxQhB0kmt59kLBe7dAitZboQH4ZuGg0ZMA3HM0cAHRUOHt5oQd6Gp6cjhIN9uCF5aKSbcviNl41SfsjRRNJXbjqorqgtLjmCIY6mUKNdSDihcDCgQdCc9Eawny/j+Z5JSg0rIAsy0gK2hUS+jbNCFP7Ge8kPBi4WzJEwvihDC2LxYy21EvVGZ7WdpmKxLn2q1oMA93iTFyGhiFRCYpQpq8VmYwlUL5btti09hdZGEk3NbFoTDRuEduCzI3R5CKgQCJ42CuJ0rQMNEHwlxL8yNKxALpRAiJJPEJZaSn5npHZpBsGCk10k1W28ZMcJx5hzARdoOpeZtvrmoFUkzXWguvZQJY0IwUtDEit0Mo2Zapamma7Zmxn1l49WlrbdUmdoTNSEGTtFXxnJAKit3yWRi8WOjHa9qnuwctHkbInq/z89K6pTounVjR6mWS4KXr1sBF/J2OF6BFoe7joQo6Mhe397YL8PyygQ1YeWYN4pJIXEEuScYKfSaWkXe9B0EMGI1bwRLURGletaHgwMxYnWcImVk2d7kCQXRAs/snBPsRQolcUzgxCeJOvHOUNhKHSWWI/WZ100Q5bIufrZ1RLkO+5HDDc1tA2IbiJew8aiMvN8X2kugkiKlPhaDgkMTmMVbmFw9ZpmNQZLCzT0jdWbaDjgM7iB5w+dBAdltYiakjrLJrxRGtXScMFEOQugvqNzRsm1meCAEJyjzK/AgAmYyORLkxaIlNayEW9G4TopIokvCqjtFYLxbF7oRrUlUthNUTShClYjMVlaXYoFdWvRKMpcIoUUM2BuZzqcCr6TktvDdGgk0wPjpmykFfogDKAI+zDLikFsIIK90yxSmFt4x6a8HITzSrrU7pyFvT1mfYVPxYyzww8o4BNryIC443RvRukfDmXAXExRrE+gVsCMN6e3LY2lFF8970ROQiYl4CuNM1NtUYhHf2h2ICR4ZY5l4s05QZ1vxlhtAl2uJcwFtsBWo7i8VbCfrVK31kRg8Kr1FgliiIcyFENNz0ESzz1sKKlr46lA2QHsIVlknRVMmWUtcAgWBgCXgJBhf1r+wBQ0Q7B1RCXNS2+SXBTbOd4Qj2wKyBsWNgweFVKaoB70S+7TYVazOpGGq6xQ6h8CK0MIna2kniHSIkWGRbHimABYyqwEoeJmJxq3kjWgUMMF0vIGBjT6gZHL1eQFqyxout+nm8sVaEmRomtglrUvgzgvCO0HyO7WojGFKHIWIQsZGZ5DlBi5MaSTbmnGeBK3n4J4BuNTXRaxGoJduC9QKMkpDFNeH93bZhYDB+XChiaWlNrkKUzA1jNyR7bOo4mZdgbC9sZFx0dgsLHRv9JjQETXjZiqVP2RoyHlMGF0tZoxJhyVqMrIYRizTFMAm0aCWiZLQiWBQ2kQLNGAVDjiAhs3aXpw83byZg7FgqC+bMLo4RdWI3hIun/cCGBDd4XgmB1mnuVC+CMbMYd0WZQtG0FGtKcR0Ve8ng7TkztReNFZEQ6CiQEKHTJ4TqpdoKy0bqCqiUkkRDK7REnUlLVuzTw19Fpu4GN3Z8reu4MUPIyIq56Tcj03KLRFD9pCKQXs2uYDEZBxW7Mi42XcgtA74arCIkszQWxVpuAiaMW7RiDuoohFqWlsWLYEbscJqpD1gkam6XXVs6IhArMeOqaHUV7NCiAAxTq9TLGVEJHquCNFFmDDcPKFK7JLtmGJlF4wwIxixsTKZhBoSQINaID5kcGIXh2ClAbT6xsyXolhnRUoE43OxVMKblVe4xBhgdblipA5urF9eZO8SWrsIgA0YPzo11Ug91kRhBUN4RcNYF9jOxbjGgmAwMjGQaKIQRKUwaiQyi6ukI7ez5THE/kxWlEs0ASXdZbVzmsOu32BYVfCCwTGzSuGAprGyphexhF5aMmwjFBEfnHpaZ9TONFy7EdtIBwcj2CakeQjBIVRFMS1t1jGY2A/TV6rFubRT7jV7B4FUT20I9borWkok5RuQW0BUJOV0AMSwKOH3wrKg0YpkNnfwSXiLUzAx0NMJZBCw4NS3P0huheYpu3pIMjAtG1HOFx6SYBqs+A/PIJDXv5vJELEkQqC4iSq5+7SaUpQ2z/kozvvaoAbAgyJDAXCCr0CymCm6mBGOOjPqpEIDthNJxAcLLHlY4XqztUECL1PLERXEYIu81dfCb9hJpFhBLeCUtbWsZu2LBvGwU5GUJaGEWCpFhvTpeUApyUE0ai2/OiiQOMlFNkKBK5o8ymi2RWRBWL05vbrtowMJk1twn4vsekZf0xpF6BSEKXacFw+mG1qPKHmYtpNt9mI9lazIYmVItowcaZjHThc3wjFhbf5jDRoD7dDiEINo5GfB0wOjdUiZLEOHbTJOQWWTjGR/rgmajHmPX1pKx1I9PjTBcAhEUZM7LuPEaA/W04188omqM+OGqLNlWCBhm6AAAEABJREFUt0A3BkViPcmnFRmfOlj8ktQUkpELFM08RC0hUB+Tw3GMleXRqRhCyfMdNmC6emrBxtnjavBImIQAhSSqYBsq7+scdV0tUG2NAQ69IllUJclBAafTzEQNIEYSh1yEoWbhxGBu55k45okQwim1wpioAwsqGr3CHphUSs2KMnKKvVUsqZ9cvGJhRQYTalgbhKyHLa+Arvo64ARFb/H8hVVkIsZmdhYzglSBXDrNGuOGEqPJmylH0TS3UQWKwTIBIwT3EZ6rI2rjxXXQ6FX7eFojxoUg6qLKhFtXtUthpRTRzkJCEzIOJN6rjuUClSYmKmmyYOUKVxzfFLERscuUzE5a3EOpNEKuR/LYBIt8jKvEdcDZPruRWQh14kBWWzrwnJnoymZohwQLC6xSI4dKDRlLGjLGEVCpN4RQHb1CvT1WIbC5LJxNEPCMtaxVMEKMqa9RuRvbGExgCukECROdmsRSsDOJXPXUGIInxr3geOg9F4MGpsOp0yZcq4oZ+gQADyxsqFEWjCNSdPAY40mAEqJQQA83298NAIlqonBLy8uS7cXMpGpj4FrbVdWpLEBNq1eVEejLbQiAkUA7n3qx0FuKvGSxdZFpanMY2XlbooeZGiWUCEWEIHBbHPzdtYUTD9YwYa7ROsykkEauoxIYdDowvG4Tv7rjs9R9N575F483C1nzU5cMIEzoJFoyMp2/xBJHNwhhqH2JhnzbtMwOoCOY8Bh3MhsPXDymMbsHgLcd2VSEw9Za7JXthShKRDBeCcU2CRm17BpkViCNcVn99xufGDHLeG0cxkc9ZaZCDd7811HLTbdMw6hOxjgcWGXp6HiNgUksx0KW8GrJ9MQ2+hxHfT5eRmOeENsCviYvRogO8sTW62WtESR5qXiQmJYlqlIn2QYmqeksL/501JJp2DHSK9RX81p4+nR6hi0JkW6txSSCTAQ4GQFsLWbANOOlApJqlCVm0dgBRmJtiz+214HKVp8lvJikaraZbK+1MMi6TRyQLe7DbMtCRFm+iAZEOCekgoktXliiQk2ABybZWOZO8HsksuV6LSHcvLKWrekIy8Tanbq3Ol4mFSGqkgScJzrXWsjnqeA2cVIGZbsevq9QHyOLugkik1CDAM7lE428M8JRpCy3gexkqX21Est+Xjgl180pGB/bIt/cR6h22wViDBt9qoIQJ7vYYlBEOwbGAl0YxnbTWujsKsyRMftWM0BYJVOCbPrCtIxltJtQ49GXDVaMhXS2sEmLjpXeFckC5u6Iwq7zSZexdRDNtjQ9pxJhMCGy/eapgMa0eHDM2HRxm1yS6MhnRj56YbLQ2XGdLChjUTOJuvgZjDf8UgFCxoxqGx/d1M9j8Ycuu0bdmMmHJbV1jZoasYhcbtMyMiEqTzG1YrPIwp7S7VXjEpYK463AdeHHjar3J5poyOxtNClD9XhrzsgiYgSiOwfdnxoHzuUgE0Y48MkL2TJtLMwL9Y08zD4Wce2RSB71N0Jiw7o0DQHdNMEmCa1e00TrZbXqWpdla/Katiy2ix9GkmzVMUJlBJUEh0eugIP8RmR9eEUmu25+ViLA1mKw8JsdZjJFNfKjGbWEAtA3CwsbUguIiOZA2tkiRKqKwLsj23VgISESQrFQeXzAQHi5Fk9hSo21FI/DXsQYzbJEDXW6shfiMi4NsAwIxbcMrd4VCEFYpZWMU0LxQiJtbC9bEpPWQjJl4sbfWLdVELZ6K7uCiZXbKohQo1buDOFM5CC1DptE/RKw071G7mABMyXzVUY2z1iaJS5CtxNvAVNiXTINL/NltYSgYII5hhENPHeyCo+8TGN/bPnCQ6TXCHLRstU/sj0wa1W4yYiSV702Y2+pjKnpZJoMnqfGTrb49UNUZ5rmygEOYBwzQoLFhVGtReHti/d2ZIQhMS7TClaz4JWXbb0pjy8Ay00teMkSfGUzf3WrBY/tXipLC+cYPU06kxEU+1NVQh4L6UYWf5/VJDdNnKyrLeOV3fXKSzYdhTXKWksyjYNWm9eoxVjPoVpIsWQEm22xrGVWIZlTQ3Il0+q1ZRvLcmFWr8bEVsC3bIySMTKKPTGzGZbxWyJmoVeqwUAV21ru0pDrFq0Gc6/xCl8LqFc2HSPdGEEKwzyg65UwVGh+0GJFVUf0NAmjjKXpdgO7RTL2xYMnxuWxuDdEqbxe2DejPhUOEvuiKk26SAgybBp6SCwteezMFSzToW7ntFadtXQzOuOPMfKorSu2jBhYxXba1fpzUrSg2BYn0KKrqq3lTFgVk4ZeUTWCl9eqiG7cyLbscwu46bJxMXrSSjJ/YGVZJAl/i+y7EdYg4bHVZupCrAJW5BifGetmsgg3D9+dTrZ78njRbIlOqFsRs2hrXgkUYlERGBe45TaUbksnntSEz0KAhIJaqIxPxWE+spBEc99gkLaW2lg+CONH2zIjnfJOZmTJNAk+JFEXF2HSSNWE9zNgRV6G3ZbVjgUbsmgwt9vWQalUYUSHu6Nd8JZs94egJNcyyxtp8Kye2C5gbIDGjE2gsbkl6zTYjpA6KYnJYpC6EVgJqNpJQkKgCzpS8JukhbGPfROlWnxiMWLWOd8eYn3xxv5cRi9tMYLTXDXkIE8PyggM+Mwe4utp2bL5jRGHZDoPf1MI9lGxpIoppLLsrogc4ikJs9vEwL8eEc9yKAY1Dmq7XbfNxO4Q1sMQGhYmOGRjM6RdkAuxUevSmTvOAxC/jvtYrNsfE+CYJiPbp15Cyovz1usj2Q16ijouQo7AaGASA13TbkIimzsm84cei9MJe2Ng/EIaVOGAYUVtTBZqZSEYxPKQSHLfYiAIEh4KQ2TbqTywW8h4KhJlxHaT8dBXEwW4rYqJMELUkcfEjhysfiapAz3jEcFIdP4TONb2RrF3qSwV3kpG7YABb0exnzzT8QQut3rcygBm3AMQBawxQmkg/T7vmCaxqIv6iwjGhWCboG25qcUUY7c248Jok8G05pWE2oH9dOd05E4i93KrCcKXVxIx8hZv1tJzmwqds5zweljGx7P4B9fxBkuwqb+Re5kMMYAxxcJkinB1hukY3CJ6nDFNMHTioWu+QIlcNHVKw+KqpnFDjpdNGLekkIQJgbGhJhwndTZi7GZ9eKenI1WAspGNIGu6XYH1ytAisyOYXOfCQiyTacVb/MSy1eYUQ54jND5sqWSaLh24mdK2a8K1lkVjWK44O4iB3khwshjHy4w8OglGBGeJzhCbLik8pgkHUztGo2laLFK7smV3Hn8DezDCy1OX5bpLbLaBre/vrRjNE2LJ9ZxWwWhgJoTF0CtINhb3HkeWzYNRNMTqMONxaukT7DcQE4zkVSc08JRHBMDKtjQHiwkRpWM6HEJYLf7QU4sXIdN92tDhlWRIwEoMvVHEVhSNjUlZjYy3I29OCRHPxEYo+MxTo2xEk9U2h84mY8aaTkLALPzmtyRUCqGXRa4g3HglWTS3rYqW6TUhIEpV+4hm6oIViRegqXBYshk6aZojHxTqeiNHY0y3tJDqOMd4vkKeZRij1RZntm0gDtNiMIX2Mtug6ApYC62DbYkuNTOitWxjmmdJ0MhtM2rM4hqMCa8kRH22kcGyZIuDMk0WYzszDuGRNhI2FNFMpWhm05gk029CRU2bkx+p/jWOZfNxFlhTrKHmirhNwjJdqDtWFZvyJY434DVrFJ+DVafwOZKsWxutMsSVLbdSLJnYpWWaZD7Maaie2x7h2A4E0Nhug6UTwGclLUZY3EHVkE4q951VVQIACjbK0TQWsLrPSwAQJLySrFvjCiFjZJTMaLuzpyGtcuKSxIfQlpH6cEZMS6qNPWLqcjIGhgi3KEoGJHvUM3LrsI0hEvMxI6GqMcyYzxaYJp4LD07GcBQSywxKBVumSewNe06ly5oU7sEIc1UBG1m8dprG+ih721ASoF3WdZEvqxEhgncKkqj5gWCSFoJNUIslBGZNG28/wM2wRHoE3j+WUkHPP+2s0k+I1sVqhdxvZmTByAJEy3bzH6Oy5u8BkWl4N1U71JBhW9CLWJet8sIl/rlw66KLOW28InTzELKYXPyCq3ir3ohGXgefOFth3R2YS6JQFA7ju0jQpJ6mYOkwXi6WFKnEzWu02HSkVVq8ycUQlXnJUzMw89BZeCngQ0HiFYKNxCXp+RFLsLWWFwu/8mqLtjuzT0BYOPgyby9liwKkveqtbC0JYYsWX1w9HFYiStxaph1CBKxsNyEpT3pqvHyr0A6cbPAohC7hhZCoC/KC2cUaAV1LErojVgtbUAMqrofl1Cu/CJtiCqdqQwu1tBBQhMRDOq7wJldYorfljSA5Ec5L00A62p5UZr0QFClaFoSDsCAvkKoscdXcVgxcaxkgApOxEQL/csFsKaSSly7LizQm+VApJHBBHQgyTcKAHEO567AtBMxm4ld6WMgFC3kLA0SA3DymThRMWsx9gCSsNWL1rkUIM3cnDIyqNnycr9lSrglet2lZ2v1/kWNWhChaq8aMpKVN3tKrSHFseIE6S5BI3jgI5sMmtWzkIxBrbxDu0nDtXZJoLqcTrhSlWFhrVD8CCNhWa3NMsBA3VBuUamHDJTmyvGQWLtr2MlOTX0wLypJMmn58qhIdYBjDhbVlFkCyHdjSyPTqSgGCl1gLDRpqpbjFgaJjw8TYsE54EW+2iKAeRz0jR9pie9gxEpPzgoujYP34g3Lr1MKFtuZ9R8Er1kkcO9bOWlnmrKdhfbSxWFSWwuXtarMa5ZoG40DAjHdQiAHRAqj9prWICKxYuLR3YMIHcLbFW1J1tkFbzQMco8/KYVoiZErJrO/8DzckuTUzIahbYZEggQRNZEgtPINjxs8usN5SYsRko7IduEQEaVonTxqMl3/XYH/VKWLdhAHCOQCZIPeSVF2wAELktohU6Ftg1Zo7T4F7eZrAHgKz5mXk28KpiTzBACRsOIZyhUE5igMJhn1FAMlOxhfzIwAjCzheiZrZEbMCgreByaKzezpe8JwLo5ZagPQci0HY6YuZsLQe3FjexEYbD0ZiB+ZNGZMXGJ1/5qTECjJ/tk9qsTWwrmXDtaGWARn3vMNonuLn1CVROinAWQ6bgCLtxa6nebc3oeMWwm7xBIVHyyDCJC/3x+omhaQ5ow2Lg7K08IryNjtJlla4NEJLcb2JdVmiZVTbku0+qT0lYVO4Nqjd+GA3cnHCy9nu2BdjYOeFfta4xUczEaEUEVYUect4RcvyGhoRKbNIXHQgeIUxPOKjkpgF46LXu6N+K1joHgihMEtwbEnAw3GIgapMzcLFw5eDUSRt2DUCqxLK8qRgD+rFfm1OKOiWcHKk5LGV7iPbMtbIdM3OC1bzEA3JBl2LdOUPYEMe0YI39RrBMkbKrgV2/BdsrDde6DCzHhk869nymqWlgtTiuwfdUoua1RbyWiAiFhtLkZmWSpV6JHnbuCqobS00LLelgSeXL8TWi0MWb77Ezyjv2jBAC0qEQhsVxZCMm3yDZgmL5cAAABAASURBVJnoO3jEE4nR/AIhAVmyJNL1EwqZ1YE3Qra1BsH61mILBLMlU/zF6KYk2dZFbWUG1tgyY4rMbmCLum/ADZddYSxcr+YF5sml/r8P44TWQSjL9oWEc5mXNrrkZdEs3h2Y6ZBIHJY0IUzKtspCAaaRycKw1mKyqZnVqN4aejmds6/iI0mZ7bsD/OzPZWkRmy5tLQhctot9wSlZNJDeqlPuYZXZEeCGQWZRFUnbqcACDq2NQyx2G0IrMaHERbDJqqaJx8INWGMQ1UmyMXL9CDuCRYAT4XAxDqiLtSx52UyKGKPndqxsIWFX2ClCJhPLyHZQ+bIMmN1xtuQGb3zR5g96RCkYjAwkRU1RmxFODmerO41Afn7kB8fEqo1c7lzmEapImXpVtlBdjeZ7wGxZ0ylP1ChapKWQbXSOnWIahcW0+RwgYwVsPKA3QaNtAXHLU01ImPFGfi6c+muI2tyiOBjq2l07USxJGx7cYUHFOaRBpyMY1lrYFAyGOXPrKVvdC2HRZ5o/lUtW7xblz9JECJzlIhmFnXOUmoWRSnTaVZabCJWIoZrq0dnbKbG7SmliGd2i8CoDNVW5DbtxTcCEQsJyyQqqJXgM+NOQiNvNbaEwfmxfAUQCjB8WQtolMl8ZsdoMDeIJkBafbgt+PHOowCvi5nyLLycWTd0VCHQvfeVmcFvL4NLU1lxTfZkRwIx53Ke8XYNhbk823JvKBxneNCygWVeruQJSNj00tjAyy+eHcaTuAKNIahEP81aZiwtRVDswfKpaO0hN0YQRGGTJJQRK+NbtlHOKCo2Mo0ys2vZGjqx9LTPXU1z1CFjdahUIS1NjqbS3uOYWLuOSIE7zotG3luETdQIcJJCiuwq8ktnA4OlZiTayZEI0jXXGIy3SpRJCfGzKm5MTTGOkPPFQU4JfvcOEbFJTnrftFoVKv0EaXE0990Fyat0ikzAdmGHFpYZTXrrzoe5ScJqE84EqrEnxNnx3wCNi7eGhrjFAYbZBbdsQW3Wxwk619jEDxds1Wnszu0ZkXKejm2AKkdWeGZD5+FC9FWI4Vt4pw4ReBHhzWC2XFFTAarAJRE8kxBMoCSHUvInrm4W8jxOj1MyCdnMzMLDHEmVuYJrWbWGf4NTCwHPORUQNGn6oMQqYT1xtFEJVYqdEXUDpvD1svGhp8QXbskDYppZ9al41NLpIHmn3SEUAiEA9xqqwBoO9BAHm6GobAToh0IkWeWss3LH6JynhAmpVwggjI90mAC0yLTGBoHZJ1fU+A0oGg9igbKDi1+XRO0xcBfEXG7LBxribrRzjsUQJ7B0aaRipxSAtEolGCCMdC9AjME4/PHi4hVGpRBXL2It9E/tGILltYnuynREbaztsIlpseDZlnkq22T3RbH5G6MT0V8rlZZDGwqqRkfid5oXUX1kMslQSGNZnYTA/yOLVbTTlsq1rzKJlENSHkJ5ZEcS24+rEhm719RwXdwIOFY6f5BF/qBtrMgvQrfQEj0mLi4WjcsXRsVyJH+4yW7jom6MwO0IKKmFpQjNFMie2LGJs4+oK+vQKTF3kABnhjmR5OhB2CaVC7Zjj+s+D59QomFkEa5H5I4ndg7yKq6kfOhiQxQL2GIMBoQVJ/FUCdtGumMUS6o4wIqzOPM1+EQzGiEsiZxeN0J7JWwlMe8UQ5Qr2YqJkYXnjRcCEZWI7Q0rMCi8UePysLWDUb3tqEvuCEdGhVL57iOIoOkExCSrPw+kYVOu1wnnJbkEoQ+J+FpuUVZV+jhsPcdQAsgJxJePidxKxKkm9Y4CW60CZWE22MeIlYTvqqhUqRGC3miUwVq6COS2dQihg6MRBUZBPkFkrVKEyTTslsUtg6IQEknEx3OysgCD0REYhiFOYpOhJX9BTg3pJhFHAmIE1MtLJWEIU7QZ7MhlkTRQIBmr6FN/YMpUZqthhkVjwEg6snVAiWRB7BsqChI7rxEm6WKmXrwSzsezwnjYMzmTnGY3Ep0IaA0ERG34yWPzTVQRP1JE6cmCaZn7tjyCvVRW2xHcgjMQyIpEHq+eKu1mKIwVG2QQDE3/dC/8uJiyEcEuhcX1XBKwT1wVv3F2uBNS8GHZhorF3rlcWSzSWeeqvjoI3Yca1RS08mhULzzx4MM51KG5iZSOHxetZfMZafJVwjt4ZISDVxqZgCuLk9Ixoz0adggugiuksk+2is8wNlJxpXBD6lmBC7WqOxNhOACUG6GgIzOGhXvUB0J7aBmWkiEpEQ6CjTcUYM8aQZ/KyKE2UAghfHUzt6SBgaks3FZQG1ySjzJDawjKnCkFISahgjasPXtVIHbMTmuYZ69P54Og53U1I9YhG/o7Dqv1cJntTDq6/2ybZGSQMwmnLNqposwiXayxlploV0eos/rAIOraOERdRbTFNrcdScWYQzTfSPBuwmwtNqa6bdTMdYyrhYBqRFMymQRwwdMpzA6XbNC7RsL5ZuG7WwazMZFlt6SBx02Rb1psS6sjoDOJDZ7wUoTG6bh7uJ7vhntWziWw4BLoPF9aBtZCiEOVuAw89+9MwSZs/TMJIkCYXStOSie8FJhx0UMbDRK/eh1+lNUaD09kA7GieqhhFc73Mp/MtthgEsg9h6Mc3J14jEaZJRuogGgFnSRiQzSaFb6pkq+vtYFu3EEybGz3bMTteOwb8SBAgsJksFLlh6W4gGCJ8TFWYZNQaexanPMYxls80IPZ8l7yragbyqDCeIHAAao7KhxEJX6lH7xCBnCeTTk2BkYwntgJG/sKkaRDQV2HjQunMlGBkZvWTGuLwEMymDDmA4XgzFD3lENudMUq0CQffDRcG1hZS4JvxUEY0LraZhKngJaBVeOq3ZUHLjz8qEEdPLe3WrRVhUvS9QRYY0ThLsb02ssZmGpKwsO2svpI0I6mMnSUEHUmSaWpDfe5eErKkZS8zmw1LC5L5g4ByBJxBwmzMPmKwItG95C5MbFPCwkC43vNwsU9+9i0TBYmIowdDodt8LI8ZBEb8wZEOomHteCbJlgcudoculGLxT+/AI0GbFKsipbRjQeAUEOhqOyQCWkhIUCQ6qlgCEx23IWoPL9gWa2f10az6RHSZwqKwo9iPtYJFc83Y4ETbLk/EzWDIzaca61UOGz6CyYiKfWLTWHcHidpSpirmgNDmt3SEus3M5WQESKIlBoFXbHkzyHMFRBgWicp5bP7xQFKQn7vJOHJxMNsSj2uHjhkDlroIbLBOO5w1FMESmGBmUeMPHiwyLFHBSU3kC5jKqKXcxLIPdMDE4qqne1WCmFdMW974jqOuxADpUCAtF1sZFFR4Q1ay3UIwbwx1gcIIbXlQInnWK3fDuGNbzy3z17k9YWSwBbNaTggTDCSXg/0WghmU4OKwBmxMIJuCs1I1aAfBsAIUdyCte7SmInzM+CMKA1sf5Hgr1cBs9rOkW7QZmGHVp8ggmyc18ZBKhFBYMMUEWP2zjDguoauNvzmk8wwYB4EyUVNWJahMwdMFalZS74En/S7VoWljlVoKW0jfErvIScOs8UZ4oxbDINXYhxRqo1SS9BSxum4GtxZkaqErpsFQGjE8H0etNix9yKuGuEfNIYFXW1JvCMMr80OgVk2cxNsqAejmI4Q19K9BVIURRRpvo0lgFEutQSLHkXGWLTqqo7acvMUuFkvNxy5ycs1GYYhYfvF9bCjs7oYaGABYTmzKb8dGODMCHTZqmy6cfYIN/C5ppL50kaUeZVRqzqg6ps90XhAVRrTEPmqUck5Ih5Rat8YPuW3xOeIfwfnvWkdmS6/O02Kd47p0xMXf4a7mHwsD8ukYl66Lv7tjoQsAsH2pkW/LCKQc1xKbAO31oidnr9TrusjORxVOzg1+7HhRkdtXsyMAo9dO7C0wTbfE3zjrorYlduzI+9IU1Nmk3oxPAKaTArXLXIaQvFt+EmWrhNaOu/wLqXMrBhn7Ylv4VxgDoyT6treEwK4ydjesUwDMxO6T0VPACsbBpAXAucSmEVsYxT8DdiAZ8OwVgNYDs02WegFIpO4+r7A0MNsI3RP2EzXURvgYGyU9j8WQsRfJoqQwTo8oDBgXuBvyRDoJ2isCe4XcgsGEvNwZNo0artb1YoQNjCywsJYLxQgYdtZYjLkDusrIJ+M2ACywMQp78RitpxlP6m7j6r0Fzy1ipLOBkCCAbCB49bBqXJozhbClskA6VCWXrhJR1DiWUbEQa139vGobGAu8jvGMRCEw0vGSF2GbhZsT7zLNAoPrGsJHgGdpOwRiLwyLny3EOtt7k0VkFyQc9G2NwiUVgAuZLi4PC6R4CMu2xmg2pykoCe92bw4Y9q0wyLFYMB8LxidNIEml4p0eZUQBrbNGVbAImfLMWK/1pMqQVFWe8hkLeM8mcE8QKK+Xk1ytcK8GQsgqureX6CJUCjjkUZGcbL3s21KzMCLD5lmXtfmgGZev8tmrqzBioZKOPX3rGLfFtjDuNYL+KtLG2yxWR4V6bgKWC0Zvidi5QkaAqswSFkplw8FPf/ayalMq34ou54S0TuztankXPVXm1OjqwpeggpwCtjC2El7kqg7fcXKxb7A13AJZr0UUfQrASF5qrgBgKoSWMljCG5cInBB35ycvli7T6tKGfC+DaSXpv+mXX89e+UkCX4DFD8fyILQnuBA0SSsoVI9gLHRtfmAirwp8iqnzyWaclVbobpQkGxLNViCAdyYjFkFCAdyTicLCdvVEqORq028A67ZvCJBILPCKbG070tXmc8pyrhe1GHkY1PMymKF1nuYDzi7RATTpIjZHvoJc3d4nBNVIYTVak0Ithvp74shUy1Uc2OKSkEXQclhDC0+uF+cSfoTVaAAU0EAA3IEaVxBQCeyeXIrJhZJUL4sygMotY+H1ddEhacd4vQg8hV3lls2etDzD1h2z5xTI690CRAhgMtYrIVPAdTUFMpcZtT9tsVzETuLig4Ox17XMESX54FOeiyke5EYgxQrqyXI2/4y1qHhUOMm+L4KZqlC7/xI1V0WQ9jLLafHOterx+mpvunqZe3PMikzG0mK0KAk7NyHSIaywsAv7RjCnVhkv69oNETXQKYmxVQlAKPIsthirZVDMAsyh0MWeQFJvac9NUFU4L80Y+4q8uvDmqrGwphhjMwoLVAR6szRCllsqGZcabipBcL1Y1uzwRV1LkRs2YGkiXbEgEDu9mFF5B68LL1laTENas/fAGl5VwDgLLhWBFHwLWVRIFgLF9tYYLHnzdrCK0zmIEwUMeUoK9x+29uYyGW+ro7Def2GhgHaKF8zi+AYD2JQKgA5gh30A7y3v7pWeKmAR/L0DEDocHKugJEqlEuQK0qaTdEZqu5IO1ep6fY4gW5xseAWIQt4ybDDDw9gLuc7nS9u3jp3spGsIBbDPOq7MndEVC2ACF/y3q7vtq30u5xWvcPkqb/XewnklGXb61BmbOp+kqyCnSJOOQDYcgVKvAIzRMJxfDPhgbwvXXk4FbU6ZGpAtDuhqAagvBcrtAAAQAElEQVRrdVFY6MVYFIaLVXeUqKdZLNJRBkaEMmNxX1UsW0fwlopZRIkUFHyuCnJhhHRDcr0EC17+7oWdpRFI58XHPlUJ9aqFF0vTwcxaOpYZOx0XJM/ehhAFCQthOYeHcZZgKX1tpzYsPZqLSrLEik7ZCOdLCAOrvhWvaevl/vBuv361H1/th/vrw/1+fZcH+r0e7/LhfT58pYd7LPsBwKs80N+t6/W9XiO36/U9Xr1+Nx9ifLeY1+/qARiB9ynhKz3eY8do2B5fhXAEQuq931ABeA3s3bI9kvRVAJz++j6vyV7mIiGnP2IBP+MD+Hf1EZ2owvLI+C7pAtVHr1BNrod34YG/zDB0La/y4as9skC+fpXXU8zDqw344VXKTBZ24z6UxwJb5/1uYSStETuwvEZ+t1ElacYay/DuCC2GFMbyiBfm+9nY+zwiVM1t27HA/C6E+4FEk50yHu/3I667cC4I3cC7MlD2Iwu/B5+He310P6dzt6nn4b4WjI/3HnJUOhjD8EheAC/9eCe8pb3Lw50e7/YEUhi5UPPwUo8vkTch5GWkF0PgfWNJ8VEBaexdKAkvKT66b7oKMA9g+NPwO8CtmTrpB89leH0nxqM+TCVwYiFvN/ZuI1NPXXdp4N1GJsXjXR7uZy338COLdWGkfzS5SA0tPIDJAvjhXsjtd3kYDOCqHNB9SaiTWPojO3C3D2Fj7+DPRy83nA1pDYENlY5l2IacqC4cefqdSnXftQN7xIulZWz2qolqoRiRi3tLiq63mHBzSnvfDWcVyOQiaQu+Z9Owk2L25F5d6R0jFuxhIdPD1sE8Ie74Ckzg4chI12vWtevhJUb6rnAvQijvsVtUwo+myI/u1CjWAoARlRH5LmwRIfBTxlRIFt47xuEEM/2BaznXu7W90kevTFTPlKru1GLuhevhXmT/aIxkrJ0U9ywq8ypRXk4iYIDJO2803obDwNIovstskYIEC2CQD7MWvNNVDMyvqFMNBP+uwE83WRpyLPd6vPdHrbmJPqJ+AmukcpBUJdhazysR/nDvx3s9nH5XV1/Ve310d+ympB7xPWspjK/NRCH78ZWPWgZqYyv4nlTgy6aWNCkemyKP9/qPr/L4Cjux+uiVSUp47wyBFHBHCu7JZjn0bvj9fsBIv89j5arYuXuMD/e9nCV8GWDsWy8Axru5xuBfbaJe322Q4Okf3QXkw30e7zZ2vAiP98FCx/v6roBHYu8D/vH+2n6Xj+6uD/ebY2U38Lbf7Y/u9uP0j+7DFj3e5/F+P9zRAV9fI99vLB/NSPjre4zX13f7oUJhr++u/Jj7sGpDHu6ur18+vX5ZmfHDlzcMsLqAvQJwBf/h/aa/frVfs9t3+/VdHu7Dx7Bj86b1vNpkb824Xu2b5VUe764Pd/uhMITrw6vrA4D2/fiK9e4HwPfICNfXhTXL61f56N08wvlqf/RqP74LAJWfbuEcH15Vrveu58uxYmnsXTjf1/fBUoGfRK944/IhFvqr9Mffq/BDufhXqCIR3ofW0OyvTyUtAxiA64fA7pE3ZfPSwTAh++FV6K8JfAWMjKdsfTg/sz58Vx++0usGpgXfi3oqnAtJ/ffBQp0fVQhU3Fj4i3m36gNreVf/Efk+yI+MkNzp9au0EtS72m/yfdmQgT0CKP/mtvAJKucrvHT2KngfWd1d5cFX4EBfv5r6y8Ni83hPlv3IbvT4uoEF3wXkA+EQgh/hw3c3l+r1/f4Pr9pf34d3hOW8fgVPX72HWlL1frMQ1Fl4Prqr8TUpsL8kV9iB1/ehDyYP2CGppTzsFb94dEX3UzP2V7V3x5DvwZ8N2R81UJTxeA8nRj3e4cWCqma5S28vxpebcGAURl5cle9D/RUA0O+JalUAKImRMhAe7/frVxv19au03+3HewQOiN+49PBq9+a8ygPGe7HkHsQ9qrCcG/jReImq5RWx4So26n4jPNzvU1UrvMvsPMXvCr1F6aJe+aP7wHNIHu826wLAT5DHuzzc7UPy4SF8d1MteMDt4328B5OHu7x+eZjTtdzn9f1GeLzPA/0OwH49eJCP9/uRW3Gfj+428gMj9+1OD3cFP6Le7eeowDMlsQN4u/bXdwEzYz56iZzXLwsDyeG+vtvkbfj95gfHQT7cQbgfgN3tyZiH51wf3qfhd9y9EMtVZANrvENtL/LlZsRLJRA+wPYSBoy9GI93eSwANY/wt+fxHkDDH+9y8j7c4aVvLI/3m5DHu81mPtztqvdBaIfqvoEPdwFA7CPCPTKAbsLjfc6+9VcgXPSxPNxtdqCE9xvMw12Ifc14n44jsC0s7cNXm2VifI1r5P9wFzatUfc5gch4kYHxykP12CX3jF7f7dd36aW6D5jX9xsvzLfLX9eQ3Ofh5f4Pd/v1PV9sxvbHOfdHQrC/xMIG7gfk+ysFtN9dX98V/3g39rv9+o7l7KrzVy2tt9//c/rl/T9/6/1vvvXBX7z9/nvtH7z3dvu33v7g22+//613Kn/75Xe+/c4HR37vJfYPvv0C+3feO/h3PvjLtz/4S+yFfecv3/ngW2+//00CEd4BA7IhBb/1/jff/s5773wHqm+9/cG33/oA+b1nC8K33vn333rnO9+mgMZ+8O2O3yE7YOyMhNCLfJssH7xHorf+3Xtvvf8Xb33wTaLav/MXb8P/nW/D884HLePtDyAkHADCt/G+/cFfTqL33vn3GL/1zvvvvbyt9D0Y3vnOt4rpiPe9t99/D/WdkrzHOMt8j5A7yN//5ssP2LpvNuSD9976DrV96+1a3nuL/UR4/z1cb33w3osP/uKt9997+4P33qF/p8JbeL8z/CT6gCVUxjuYb7W8D957u1V9+50PvvXOB3/x8v0/u/vgz+n3H3zz7t/9OR0L/e1/92cv6e//xTsf/PnL99vvCv7/yPjXaMu3q7oP7X2u/VhrlywQDhY4vn5g7JtHc9p1fGPul7TrlvvhJs1f8iEtcZrjRx5GGJPYcQsYsA0IHLDBNjY4PCQBQiAjbB7CAgw4gILg1OMcOcGIR4JkqvauU3uXhHQkndpr73qsOfLr47/qCCez5n/OMcfoo48x5pz/tfauOtKtk3P67ZOLmyg357dR0tcIYFq5vriFfn0ezsjxun3y8Nb64jb639KBgblzck6/De0mLrfXD+gJkeV54p6ct/XBTTTH53gFcHyeBNaJm+XmQZNf3D4m4X2/dQz44jaY9fmdrgI5aaCBc3N+6/hB+jowaGM6bvzJxYsUhfv6/Db5LDL49fmt9YNGIpzfJIfNg5tQrV9+YXN+E3n9YMHfwYW+7q3YnCc3fPeE57eR0xeqB13Ig1tr9BnvLCTrhLhNhgibljfne571+e01eQJ+rQN4cGvz4Na6O1UkVqIvRd1aAzgHQKybJxe3b1ywpTk7eJLn+X7DgZ1c3GHcAD4PZgHgQt9c3Llx0V6xwnn7uLd6c57EGOO4uD+8fXJx6+jiFgBSOj6/xV0iEAzrizCQYcC554vvsmO3npOwRYueSvHlnuB1iwLTLxbrrez5+a0b5+2bHNDcBnDMlj54YU1/+RfWL3MuVNck57DhC4x+c3POqSHc4rZ3R7hNAuRJwicX7FIcEU7OFxiAm5zySZ817rwFGzb54uYmgBc2F1RNnndOHt7Bi+XmHELSu3P88Pb64a0bF7fQn6B80Ht7fmv98q3NA9K4fcyYzo6hIe7NNZfq5V/YADhneXt9fputW1/cgZNsj16+eUx/QEr022wy+jDDed4MDxg57lubc9wzHp+TTISTBhw/uEloamGZQh7cYscoatPVnQB+cGsD5uUXsK7ZqwtOgfxhu33ygG2/fXJ+C/AazPnP3zj/hRP6xQsn5zdvnIN5IcWep2QSQKaDv8GlesAHDpfwhRvnt04eAL5945yXCOHW4vu6c3aefqu38VZ27IKNxQVkgsIDkqxunBMOL9KIQCCUJw9vr0lsn+3NTTK/eeNhqthc3Lrx8NbJw2VESSYvrC/yjhxd3D7af/C+uOHz8/z2EePDW4cPb0ePiWUwt4+iuX388M7xxe3jixePHzLeyfjwzprOp0r0KPn6u30EDx8UD5DzOqzhWTruD/m4vrX+8B3CUSOmuD8M4dHFnSOqYOSqc+IX8EP+4nEvQW4CQ3n7CNM5sbAuHcyLx5BfZIn16OGtgwu+I0iAZG4dXiSNo84w1os7GR+SyZ2jh/lyOXhwk354nuXRBRpMLx3l++Klo4sIRxfvP0K4yNfT4fmLhw/uHD7g6/7OAVGQ+xv/8OLO8cWdo3M6X6DE5USQ7/B9evyAJcKd4/PbRw8gfPHo/EW+LnE5Ch7YSwcIhIb8/MWDi9tHD99/+ODFg5dvHcWXNyX3kLPmcq4fvLA+/4VN+q1+8V9g3Jxz7W9i3Ty4zbh+cJNrBv74HPDNk3OuCiPXJncJfd6di7hwCpvz29yHDVfiQQjjHhNKbmBevQ1X6/z2cY+bYHJvgW3OX8DExTs+v33EJj988fiCH2nuwLa+SKDczPO8FDf4vrvgMnP/0ZMJSd7anCPfYcOPztmTl47P+Wp+6Sh7ePv4AZ8JtzfnvJ6/wCtz45zSbhEx8sUt9N1fIBmib/pVItbm4mbrKRPM7aPzm8cXN6mUfpTb+NLh+YtHD+5sLjgI+HkFXmB/+ExYX/AJ9uIx4c7x5eB4R24Rbn1+E9P64lbIyfZl2G4G/wANm0OGgLNRx+cw0EkYzK3NOXpG2CgW4ebx+a01R/yAL5oXjy/eTxrH5+BvkxsfLJvzW9TSUW4dk+rLNzn6Q/D0B7ewUib96JycszxBOL99vNyB81R9fJHbfkiB5y8dXbx4dPHSmtchdd3hFTu+wPEOhUCy5mjo50l7c8Hd4+x4mzg4elJCmR4ALgDYmfcfQcs9P39xc8EGUvhNNofLs17uwMWdYy7txZ2j/ABGAi8dX7x0/PD9RxcvHlMC40PygX/xJZlbm4eM7DPfIIw3jy5eoMzuNzcPb57wqXJBhsDI4ebmIlWvL9hG4t5aP7y5eUiqN3PiFzmI9cXt44d30hOL8vG6vX54a4P1YQd9yDL95CO3bzyk83kIw+1179Ka7Xr4/uOHL20e/vM1DOdJdY3j8j17sQ+xIY107u1yrLe5JCe9/5uHtzd7/J3IFzDf3lzQyYG+CDdPLvrmPLx9Qo0XLLscar+gFj6WX1g/vLV5eIty8M19gPYimOxMZGpcKr29zpJC9l+7Jw/v0DdhvnNysYQjz9ubnCPl0F/K68mvAB9+6SjFsksvHl4wtv6cmwmefcb3DtG5KozdO4GL5TLnjSCxE86db8kHuXuEoHMn6Qg4YuWdZQS5Ob918pDPKz6CXqDqGw9vcWo5QfTnt47PWfJq3D6+uHPMtp8Tmvxv4Xjy8NYNtugcx1/I8v4L+9+1bmxfvnF1/+TqbH11b709o28uT9eXZ+tHZ5tH948fnSLQN5dYT9eYtqfr9HvHl3dBbh6d3CcrUwAAEABJREFUbq7ur3G8RHMK/uhRC5enx5dnx48YfwNYO95bX94/vry/Cfhs/eju+vLe5vJ0A0OE9ooJl9P1o9P15Vmsl/fWj+6zPAZ5eba+PF1v72WEfNvI7SkJbLanJ9tm3t7bbPElpdMjMkk/O45j9Aib7b319t5Ja9aPYkJJLWsCQU7fRrlO5vAQ62wT8On60dn60ekmMJT31vE9PUoO4E83CXq6ju/9dfBneG0uX6bedTB3GTfb+yfPCyQou7FhNx6dsQPrhDvbXIVhvT3bZPfI82yDTMKXd48v751wRtuQbxijT73I+351f3MZR0jwCgkphfCUKCfblzeXCEu/t26Z8WR7utlyCsRCONuwvLy7vry3yenc3VyCvNuA0w3k25jWya2Xl/c2ncZ6e7rGSgJbSChh6fc2V/fWkG/vEeXkChPL5ZhwTz/ZsiGv9bPOk+XpSdjONk2+ubqPsGa8enlzdbbvW3jOot/eOyarxCXKvQ0CG8WGb8/I6mRLxLM1Xpdn5LBBGWvvISEAR3N3fZky1yn87nG2etGgpN/dXN7bsF2JeG+DS+SE3mzvbrbRLMybbSux0iPfw2sN/grh3o24J2c0J5f3T67vUxH9hLou0S87drpJVmcoT7b3UziZb++v08/WW/rpBsIIZ5vtffpxx2rT2RrfS0ZeirMjhO0pF2xN8sFDcnayjdd6e7q5OssIpt03Ec5OkK9O11tMgZ1cnm3Yq8vTdRjYByrd9/Xlb6wv72LdUD5W+hYAmu6RTzc4bk/XITwNbMt4tt6eHi3W7b0u5O56e+/k6oy+2Z6dXEeIfHXGcrM9XYdkkZ+btvCcnmxPb2zPboTkbJ3olHx6nFcvwjqZp97N9mxNv+zxCk2f+6OzzeW99ZYl53K62Rdyum7YZotwdwOAS54XnA8l+hn7vN6ebriB2web7Rm9GZIJ+vXlGVuKdb0lnyWH0w3Henl2ss0xnVzdP7lCPtts728uzxrGmHzWqZFbR0qnay5zPkVJ7N5JqkN5b51k7p5cojw72kKOBh7A9yl5Q9V4be+ut2jgTN/A+ejemo8+qsh9pgRCnBJ9fYUvtTf48nRzeZYPSYKG4e5me4/DPW6XNcp8CJzCQ5JRsiGPfuPo0d3j7mtgj+4eRfMbWNePuBURInNDtr+x7h5OhGjurrd3j7dEoZPMKbSQbK7ubS7Jh2Kj3FAIW8S5bO+SDH2DfInMuWTkLDaX99bklmzvrRffy7ub7dl6C8PZ+upsfXm22Z6ut4z3T7anJ5xFdv4egU5AXvL5f+/GJbcIPFbkezeuTnNGGU9vXOF4b3N1D9/N9u7mURzXBL3sBNBEoF5Md3NSl6eby3tE3Gzvra/unVzezTIaHOlZNhUh7gVzeW+9vbtmA7d3N5ena5aLy5Z87q239Lvrq7skQF8Hc499WIPZ3kWAAf6Ty7MbXEh6SjtbX95DufT1I3LI8oTMH1Eg/WxzeboJ/9l6i+l0vUU4XV+S0tnmiuUpY/r2dH11ugFztQjI6Uv+m+3p5vJsL1+dgr+xZYfv3diipHPbUd5jJzfbs80Wcm5sejivqIK7d0bQdZvWaLjS23ss11R3dQbs+Op0vT1bb+9ttgin68uzNcIlvoFtYoKZd+fecSsZ6Wuu677nXI4v70bzKF6by9M1y+29dffN9nRzebZp3030Z5vtXfo6mqTKFY3c4OMoz9aX+QTYbEGebpLk2frqbKnxxhU17vUnV5R/tt6Cv7+5OjsOA6b7Gw5oe9ojy7O971UzXKGhUjrC0hfC+zBsrhnv39ienmwxna77sDru/U04CXRvc3l3s723SZ6n60TpkQKjPFtfnq23FH6K6SQu7Nvp+pJkiBjakyuW7NIp4SIv4CgTcbMFdnayPcW04fO5E9hc4XK62Z6uEbanWXZ6m+39k2v62cmyvDpbXy4kp/BkJznrnNHdTT6X+vi2hL57sr0HYHPJ2HILa+q6vLu+DGB92RH38m+sefdjuksOG16i1iNsLk83ke9tLu+vH502LZqzzZZbBw9pnDaGxIh1tt4ioDk7oS5SJeErlsDunWypgoudJbVDtabS7RkRkU+2p8+XHMTLm+39zdXZ5hrr/fUl7qcnbEVeE0hQEuj+Jr73Ex3h8nRNuFR9ukG4PFsvyi2+5HnWSjI8XS/loMcln+f3jvODIgXST5ctXcOz35DgN5enm0enmy3y2SbMBG0B+ZK0zzCdbM9IIF8fV8BON5enG0gYL8+QbyBvz57DljQCO4Yzb8rpenuG+8n2dIOQzvbeP7nsQCwvk9smI+XjfndzyYbgcrqG+RIqarx7nBOMsA4ywnEKRH/v+JJl+uYSX9gyYl2/ushnJ1cczdnJliTpKM/W24WcgyOr081l+jrlnG1Ccromh8uMm/Zab8/WWzDg763Jant6kvMiKFWkrynnCs77m6vu29M1WTVysz3dbHkrqfoM68mWEeTZOt/FfClzByJv8sn8YL19sL463/+udVBXB/WYfqgnh6Y/Xvm6ldcrIaSPul7VFf1QgK8P1CY9PgAZ+Sqa8GC9OvDVAAySXrg/OciICcfHIA/8ODy4R3/NcqXHq8QCs+8rXYFpJS5J72Af6OoQL8C6XoRV57ZYVxMr4Gt8D+vq0MlzpSs6OYTNWOmdYRxJ7/oQpR8f+smBn6zIStcHxKpkAnkckXV1kI6JfJ7sAaRdyI8P8coexoXQB2wLHSVbKsonIl7EIj0YrgOAk11aRiJWyklFaCaxrgmRElimZzlIOMjHZJWeJNk3lo8PHIHxQE9WRRV0NM9lNHQ/GSScfMgZwNMDPV3RMS1eFarWRH/gp4M9AYA1Pdahx/SVngwiGgai0GHjhpDkk7Gw6enQUzI5IJyeHqCsJ4eRAbMPjOwJp8PRsExfJXqWq+xb2BKFkuuaWINiqT0MFIV7Ih6IlBAoB7YI8SVWYI8TusiwrWb5dOWnK7KK9ekKTZA4NqaeHmIqZDpHlr5q5MGijC9Uz5qEBOgsoUVIP0jaLEmPTv7ks18eFNuypIqGiFipne1axsej2IGYVsU1aGR2I7SjC6eu5z0uK5TcN8qng3w+ksOKo+lMVuKkrkc9RXMQ/D7oqpIemzPakTFdZPtkZEzQlciBHuUh29L70Dx9pn56aHap5XpyMFsIjFjpkKcnELHoT0ct5OxY+oplOiRLFLz2MEzpiZgLcyi2Lh0lJAcdZaAU1aWvlISH2EMYknBkX49gngw/sZ4s8koAnoerBZmxmUNyIKz0DgeYG54tArMcDXpo6SyT8Agea/d64iJQeFZ4TU75yWoCZtvh5NSAtZXT6bM74PVHpvcGjvmETFbE7dpXkIii0lsZ4eA5ZhSE0Ea5EgK+jPQIFHJACBgYISxCL9vONeOwnq2qu56ttBzls4NKR3+AMlcdWLyaHDnMI7cInq6iyVdoiE4JonZC00HSEQjBjkXOqZFD+rPwi3NfyNlGyOnQtgZMH/GKMcUGMHKHcUm2Q08Ou6jDvQA/H7+5KpR8VE8OneWBHh8iF2NnS5KV2g874QN2b3IufKPxutFx4bx4H/kAR+gOfw4RmdwY89F9OB8fzuuDyfLxYESu68HHdcivD/qD+rCuVyG/Dmw+ZslhHbBdEy9MvC8Ijw/mk4O6PkqG14cxpa6j+fSwnhxk/9lAfBmBPT4IP8LT1XxyBJjejgc9HuqKupoKl+uDgK9XPWYf+Ngkel0fsid6fODHB3pCPxRVP2E8IO1o8E0/ML6JeyisTw79+HA8PjDbyP4smQSG4wrmfecUsNIXQPgPhJycDyrLFQeqJweG+WlGLkz1d8T+Kwbl01Vxi3LiB3qymm3NZ29fDByzLU8xQRhkTGxXvlyOKl79yQwAHsYnIJ9rkNGkj6QBmMToLeRukH9H6esBZkRJMk9IddQTwsE2FM0IQ3ZjVY8PwLO3VBr8Ned+ECV6PpqSf3j8ePjxiuSLT4OFgfHxCNtjPp3oB9RSKPeBCLfy9cArzP2mw59+PYplkDDDcKikfUBK7A/bm+XTQawIMa1gxrp0DiKcTw6CfNqlJdWDWBN6FC7Zk1WQibLKq/p4RRrFhed8uV3ZK3xXHBz4ejqIhRW5YQd6QlaM9FVMMD89gKdwTNUrwuGLRjkCakdzkIgkg+YJl+0A096XlJ4sy4wheXLQ3z6H4vRJabnGwIiypPrkQNdHSYbQAOi814zXK9zR04skX8M/PuSSix+66NcrA7teLT809vVeccq49P4f6PGgZIotPtwItOScq86mrbCKHEgmxVLUaNgqDCTTpuQQx+Crkbjk2hA3PIRYoWGXsglsb749D9XHwb71CQ49WXkJnRM5UF7JA7KNFZI2gYGnKJzlvg80gurxAVRKSnitUO4ToPAlySQz6vEhaRTZPgFzQBWVqpFXyHHHxIbgQm/feswxreLylHNcgYEh/J1Gaic9vPqa6elBOuSLpk2VJY6H+HJ7WVY+Gw+pLhsCkr1ttiyJC9UyYmKvWm6vAy25US+mZD4qHw4DZsGZQAcJgRIZ2mwIyQM4EDuPEg0dWkgaBoOIiDLZrrK9OYJV0qN2osdrBBZhxYb4yf53LWeedsnF6BF5jEr39ChHM7GO/t/AgRnDQ2PEES+msqZDVFglxvyvzZABWaVZjAajHUppBwY329AiG4yK1TDqUuFe6BFq4AJ+SksvXOyWgXnuQ7Q7JikAwdPZDk+rey+fWyvK1AV5sCFx4pKDXc+7EIol1RpZpBeAytkfNNOqvdIRkOl42VPGuksCLmCW6CSwl4e8uKgGGXoOk0CQQlAEV+3xZin2n+ViRcCdvgiMdPwZl25PBDR2tcuUZVtD6VaUrljRGJPcAl6mhpbdelm4OBo2Akfb0TmiwEOFBjuyTdVEFBo6CVS0DaMoIoqqohP+QuByoCG9yOJMo0SmT7sgr6pRMMywgQ1gjoKg2Ezo6UFGXzVmlpHj/poe//QhtpvECN4VFUdJiGVzx5jgQ4qZekyMwhSAKjfBim/uv2kJZGElDXtmSVw3ibJEk85B0jFV7ZeUucgFa/AwcL7Gi6D5n8Du5B3gQoMj0TMunEhFUKxGJFzGMo5OejG13KeGngxNFY61qNdq2Gg5C9hmW9EHjwwJhBEAC2URKx18Bw5AOBZRlFaNLzDYSbuwkrYnFaJBZCy0yQ3HxUfwYIIVR4yiXjcJW8QHR0im8v9GUxJMMYGU1CNKRc/CkxrRspShwKuwRRwlArDgTIcoCmVgar0VbyM3uSWoMgrCviQTcGNA6jVfNOjpEMpCz+ViKRpsFEJcFfoAalZXBKAdd8qVQFlUhQbffAJ4IqPByrY0GM0Ea0zdMQ3bmjzphKCbQIKh0CcBySzt6AsevJwkp4VFkREsK40xHbAAakgJwdJ+7cJAHrbEwir0IhYYhZ/8JVnljLbYtMQiHwrBERD49KpFuchYExIdPe4Ad0ZYiGDrbQTcConkLA3LNGklr5wP8Pv7J1AAABAASURBVFEclsFbCIOXdCAgehhA8XYLU/cxKkEBkD9dGmOObC8CXnxIoKoaZatD7yjBuZA75ftrNzSdvive1txP9JO60FKfyZ+O70JuxT2nWEKfPu3JBSMNQoAvd6BiJhPw3ptgME0Cz2ahxr3vEgxLGiITYIvVGpZcmRgJmjIXDWO6QWDSHKwA1yQBI7DED36sJoeSResVc/HQuZ8FRjFSvlQJVzOCljEaMFXTLjomlxhBFi07OcNdoJ67DBBLn9mZpiUWueGJo5YPE4jwNNGnDLnCb9g4tZKmU5UwDaxDMJSDJJI8UyYP7oRjrLJoOO6FhENFV5S4FHu4yIzVSra6cuJYFRllkxih1GPVjEkZxRjlIqsjLXJzJxN0c3Fk7AQXQvGipaJBmcgWf2wPnvB07ZLRygMBnk4AhYtbbSMpRRFFWINJCGRSKknZN1Ckghyk2CqQBQwNCMa93lPUMhkLBHJVLYCALfFB51JgjMX6tU6qRMlewg9GEOySM/7BK1liJlJwLEtjRklE8DlO8UqiwS4Xo22Elgp9em+CPNm3gTwqEE9Bkh6IiCLwZXEfSsj06o/ZquFpURYfznhR3gJAnqWZLRVbFV9A+AKWsRZOqREPlbzvVpsEnj6jV0kzSPOOokxH7xRbCEraikBxnT/xUotF63LUY0Ei2KKH0LYMPu7wJJatsCUZycqSmaXKqviKNhHIftF0USixLmOsAH5L32uW6PEqNHRcusMfTXW4aBAG0alaKBdNWTM1EkScaoEhVUYbqJE1im72FqF1WEiD0S6ZkjMGiVWC0PDTYy2QHBZaEwjlAFhGWE5/OSZRd441emGFBUdcJ5ocaLaDN73yQSKpmUcI840ADhinQxShdMMKHvrkItGd7wvREt8k7uBrN2tXnDifhM7rFGaVbJBMjNEUXNX3UhgrWjYyPQZURsdS0JSsdiftCrKUnyGjKwHFg1F72jmnZ9l5ASEZSMYfBGDRquRMWmBUB286XBiGi9FpQZHoLATW6FktyGWJXgTAcfJSiVwXag4iPVcbCHSJPuMJV881MXBELhkZXtISMJKas/8f//cKsavTywKYxQHGN6q9nuXSw+aE6yVo3ApWMkfDD+LEJoCK65eOGTkAkYYkw6BuuZlEKkHniWoqRlKmC55UgzNmMDsimAcFbGq7JqiAO4/ICeeS2kfBssCqzhkBUOwCgHnvK9jUqSguy2NVMsQ/ibNqtWjxTSboYUxIlCLComTRu9YuwaqHPXVknlpKlZzSCcIZROeI+7S8m+LQSzms2uNUswKCQzTgPWYmE3qymuiE3OeOTJqMdHzjHJM1Zf6gTWWkjISiKgMsshHlGe5J+pmLoSi1lWMPER5xLoSEdbFCdhYRecxDx0IypXq+LkpU8aeNXdoigZyLmtio0s3FDV5KiOSiNBiJVHJ2Kw8rUfsigiicIOsjhm1XEvVyvnmFFR5qxQp0avKDcagSvKii7SUypoOgegoTGhYxwsM7yueX8sYIy75jd419pbgVbwQV4hkmJoc+QwFlzQ9GpB2GOYvTRyI5DC3AAB4oiirTigUZmDsRHSh6lFQubHTFpSoZ79NzMNEahc3WdHB4gPMlSJJuSCm7Ugx0sS+umCGu9qg5mFXWshZ8kfBGQ064KK0WwaSBfQJDywFEQEnJlVCFV5CsJc6yb3xpzv3XAO5mO/EHTZCqkmT2XqWiErlYriTTREEChZkPXHR0mEHQhcNsftniD72LSaWwYH9tBI4c8ASb3bFo+4Ms4oAuqFEiZQTnMrwYXWJJCtkmdPlQmRIvUFVIq/eULIEV37qBCRyayfW03YwK9WQv8CLJglXCHj2xa2YjuT+pesbFDNXWYIfNWrQiQAjMgMqWkwbh2iJGDbHP3UeRHoBRc8xCT5hRCJIlnipBMRnLZoS9g3KQrKZA1ZycpkoUbYECx/7vgAj4LAaoqhBcTjaYwc9lUgHAewx+X80Z56Qs4SxRLyaQExkcCvQOrJKmo8BmUOIxBSxTDHizxiEmCCIxBcQ0RPHMkEHDKCqgZ9FqhnAVl6LF2o25+PJzD3gSnxgg78zUpc0sy9kS9Q1AMYv8XHtiTxNFFd/sSoXfRAqXSo5cQmJA16P3zrLYSIcrpQmuzNWgwRJGPOMW1WDo7pjgSA8EzMSwEEEKidGVXPElOnm3LNPCP4ui8NfEGhSZcITphRuskwmSPQHTLKEiWfwR1Y4FIwKG8GPZu5TyAoDBCKYyBUGJAsy1ZVpiIpfIhqHCTpkpgJ2rEhtr4eik89qylLyDEs1zELXwtdh+hAIQf9Qg4RYFiRXKgUeShqxhhV/McxQfxTg2rjAjvDayZksZIQkaEtaSAdEtmAHTFxI2fLpQiha3yULChwUydRGqKC2ZocYksTslLSGMwMNuoECgExilArU4yEhmZwRCFjFDJsQyWIbeGKywzsmRkF/MQNk8JJLJJ3Zp0tli0cwTvQOJniTTBR88AlkMBIAYIbC2I+PavX1DynmgwK3M0D4SVnXbC4ZZQabYksWVsJjZJWYk6qIiEbChEmdKZxY6Hi38AVXtqiZbqdrb4MBQFUxvV6csxpqEEJHILEVVlsHGk1nscl8YJT2hLY/JrORRMEZWyT2PzCzaSPlhAF3VG453QorAFG5crGVUGt8Q1bMA4CXwMDM6bbbMEHJs9AExCravRG1eKQFdAo/ZFt8l6oaywkTKIAVCpYQfQ+gLUkt4iIbEqFiEQbL6SzHAgZFdq5JkUmYpGhPOFSu1xouU0MvycDPJhoDaCjakLEEw0SdZlZ38q3+awhIHNJESTQyT/FHbHQhFwQkAGBktIdlbTjNo2TEPZnBlmjz6XEQOKMqKQDbiYIdpRYaGEtMknUU0bvBO9HAP8NHjI2Zy6ncddewSLGYoW93gwZlAIjbxW03BbRRW9OjoUrHcKUlQDX8BW0TunxVk/hBHZSElqCqyuBmsCrzGikWbYSrTSjQ8GKvy0zRQ/NKj2sMjJsVck/AobniLzdC+oSqW9rToBEjBlnGSmIVDicZsh6LMClWmBW+ZfUBFlBqyl2XUPODpIQRhPPhubnaSZilphFYewDQs8hlamrmieFAYak3xmxhybKVokIj5fAOh6QwzezEXnOjKnDIdMC6e/Mn+B1N7JClN28JkDybiuoxHUlLBgpEcIGgTsw2auTuLnhdki6KcFAeJBEGeTGSC2JwqLLiomStqKUp5RRbx5DF5aE7eUZUtO3E7r6xNvjJuOJIxVgFgoclxoMcH/WTrBobwARhaecBTNfC1CIFY5FGA+VADL/GZ22bWZM6RVU2g+HhgpUBYg7emVQSjV2ae7oE7SoEEgYyeUTCUnD9QqSKxiLMJgguEZIWArcrkAt52FbruSEFUD/vU0AnArNqR0kAMtDwXicOvQRzWAyaoCUwkBBIsptHfCzWxBsdTVcqvmbY4TzdRtgUHSZMHkFSxlExDZOE5s8KOtgSSweUx/pUi4JSwyCCnmcza1XlEkoyGkTMxDfbAlUZmKmM2nByNefAhAkXRZcEzGspoYacc/d8ajKkYPDD1yizADdkKIScWgT0tVLEiSm2XZDoRM8nUXuShwXaiCaEUEjYTA9Aibb7fmKZWWQ/FoYoM8bexq4bl6FFnuz3BGAhflIUeIyHFFCsa9qPYaFeAYUIPB14IhjJsgaOplhGWmY+gZLhKzh5OAvJYqQWoJYjHwGvuTyA2ODEYUBWjhunY+bAqybPE1RnMlkUDVeQVfTalUJEZuyLBIdrU3PG2V68dJxdqITHbzFkKoSi+ouSZiwATIQUnu2p0M2GI6OwlFeAOWsVNkyYMgoTQo7VY4WV3hwulGhUAqIBZT4DmW4kdBj0k4qFaCPlgTQbULNyHiB5zf3ZJ8U7uFTV6iSDwCH+z7neWnKHAREZF6GIQkeKYJ0DqETpCUAho00ZwaLGbN290vaIVMDBURBwIxV8vF9HwSS857JSVqTKoctFwRWCEsTKpx1rwxRlFohZyFWI8cS9p8EcWevZDLeUoKlbU8GnfyAupxCbgp/hR0RAXkMF2OMh5mL3jTZbM3iltAi7M3FveIzSEAG+z+QwekmlK0OGMajZuqCRblnIBRk0WwGphpnayquiyJ1GSeNUqwaSqdMnAM0bTlpGxJqxcxSr+nYEshLm7Ys0goaYislfaDGF+PhIGOjjGLhXHYIvkYZXQO43cQoCOFecQHDYKc6Wipq5ZAPAhU0W0rLYm/+KGZCURL9YaIhZw1uI4WLALeKRbcA+CEbaUARt5SxqCH41f04gGtJoZmQ0sTRuRoZi6V+xEih6rk4TKzroyhHFGaJchMmpHQMu8CJRZ2HaagEcslQ0rMhsiCHmZVlh46BGSsEi8A0nZEUZ6QdW3NzIZOAz8kDkFGhgqdSviyny8iwMsydgt7pkQtTQy7muAuZbdExshANB6ohbNuJJPXHcWRil5x7mwsUrHXEIXzwKwA0NP8BTeeZFkTKL+artmNr+oAZ3AwsQuMdIHwYBraqDLXkmohlmJVliKkofQYCAo8VXMVQZa4h8JvCMa6YvEsGRE3112YOJ9XKwhtdgkI8nasYkSXAkju1DbbUQiX03KKMoSuaDyBNwABi+NDLFIDr4ItPi3UWlerQgZSYQoYHzMMsaR3LkfSFi8ZMKiGhwkLCzoUolEqkZIFHcpkSZ6NnDR8DculbWyxJdZoAiRTgwWnJStgUISIySMVf0DFyph60nUAj5LU8CSRLEB6mbFKJqBmE0CwWehVqYqQiQcWYsPws5pwoeTiPrcc7haDKmtOY2THR0rnONbeFeGqPH+LR00sRYF9FNCY6XF3zAkWtYJwQyPFpfACF9lci/Lz61sikQSpCsJjoKDRzxx0NJIqTozoAhcdBcDauycisoDE/6y8ZOW+z+EJaoVuOJeuYiOGyijR8tuexU5ESEgYU7HsYDP5P3NLQjijc6goMYFd3SBcxyj4EVJ78KUEC7kSoFkHCBr419SlGaJW4qQwEfN1RLNFRiKxUulCBhSHKXFvXCf1foUbnM/6H3YJSU9vCKZGQVJRIim4jeEDx2e4vUm1yyKDURkk3EB4SFNKxF7ZOBDZMJirKUaPScxCdoCmScyihHQ4MqoE2IIsiR5mobZ1Co0xZIDkiXqQOG4WSgYRAsCE4q9lfBIdJk8uipy5yyVnIdQC1aZ12VSP8imKspzoQZaJbJiEI2dtIUbZ4rAORAPpQRGg72poT02hUcPDXkAYFGLEoRZYeE4zK0Svv2xJryx8gO2+BogdmEh0egJGCfZzlKy7Ow/1xBRRtNQJY8pZT9Ku1l0SCmdrUSYIhY7YD6TSb7KE3DMet4oHLGGsC+8xgFkmb0iKKVzQJLFRjHCwKJkFPRequtmFK2Cq0XDUu1XxC3NeBG+F+hnsFVkhR0lryERMchiGWXJ9liRjbx4CoWBVUkRFexErkglKVrmPrqKp6zolkfO13gHASRMeAx7EVzMsUTPAAAQAElEQVQDga6i8qCwJvCsjNyXQphJGe/dlNPUDWmStvHuXHuGggUikOpkcBHa3H9JMDlqL9/hiHCIGCULNjqEjCzYQGksdYkDG+jItzLxYEYkf8miOSspKFbUg8SFI50kUoWZvlCjF4qumehCIDNx46pMCzCOENGzCrEjG2YUvA+MdHxTAur0kKEhI5TEdHw0XSSDEl+Z0xSOpQgSlQFiC2TZ6gIKdbssy8Ap1LYyFXsCQmp8XlV4K3gASgHAZpGHaeXJH1YEEmFKiqU3AlUQ1WobPdYUbhuUw4lGSqTCYBNbNkjFQM3xjYk4SsOIqumfF74sAFk4Ek1sjXhboQDOp0XI+scGjNhKnIjiFqopXAPCDXHEii6mQMT7ziaIIzGpFX6tFiTToODMboiWYxCqAEz1qBTm0Y5hthXZSzm4ipMEXguaBcfWmARCyUTGaKpyOEAXf5K1UccfA/5W/5kcB/Q2+xl05TZiSlxSBmMauaBDWPGxR5iRU2cpHuTsD8kRkpdU0zhLbTOylIJYA4GylFA1okhklZXm3glWLv6kLve+xia2pcIrcVAz8SREJVgVGSmtYJrNTIwOHU4iVaxaYKEhgPJ+qXDhW4m5sI748NCLvdUQcYURVxEuSkLELBqslWeW0Eq4YGoRn0qZvbASAiswG1W8rCTQhxX3gk8ZKA7YwEyVpuFMzW6FlewlGxZVkXN81I0ALFBioG6MqEsTtETFJTOJVonEtjBNlhJ0e0HUyMejSQBNeeYVE8DK0DMReDsmPmRP19LKIAo/JrW6ROIVgqooLUrigrU8ZPxmRjyHEAyKCGLXWQZLfYppCmXZKxlpGSQ+jkUWsGoVdR7QTEAZE6dLbVnBJQICXglWDIRJTDQNt5jiZC1W1pYZ953KYgalEApG1nSlsTJNMVm2llYISx8l8yfqkgLI3qROEW+Kve8I6habyOQ5PfvagXHl0pWcllGQ2u2DSDg8iyW+jLizLxSrEiiUe2jILGfC1BMhmpoFPuKSxg9IAKTY2UGInTC29+6sQUBNvNc6l8mgAq9WWoEHq/2gKFArbQFFaiufpa1hKEIvei40RlT7Zab9IVa2nSwKgMIrsoU7BSFhiQEJACa8LD6okx5LbGDVE5igO2pqWgyAstgzo+M9CEzsgsRaOPN072UCKadrs2ZFrHA/xxmj2KH2yABEeZaB26IgzCj1u4UnbwMujcru6rWWy9MLsuygYFI7PqXo2gh1IVjsFgMjNqUtELjRYankHJshiwsy6iDFcSAajfqRmGxGKswsgkIDkG0WSrrgMU/EPAIfGFghf0oFXrSYqwOzEJ4oAkLFxJgDCSArlkUBICOJBCMSbVFK7YxeUn8m4YyE6ywbY2cStpaT+6hFjKsWVkAICzwQ1s2j583Vr01sEXCF5FOsgUGAD9dgYc/Y2bYQQuENKLdLaciCBS5FBEfWSNC6wFIOdVagChPULDC1Brc4R6bSTICYCgPOSBAysuQTtWWGLpG5YiEQGQtd4YE2e0p6HG1JLExYrIj07AAJRh0jcJzEbkQSDsFQJ1I6JFoSJEy6cKYEKZ+GiVvtMKNmucQVqNh3rV2YlyzYil5aSJCYh56pmOkumT/iWy5HPMlUw45F0SdVC4WbgQiWFBSenWFHX4ZKFlGW0ooM0zu9uBSOsuX8WKg0PhWZoJImBgE1TUAkLRKjhzwGeRmlLDcbv7LKwqcyWHxlsMCWJY+GNExnS82PL3y+oSGY1X6NRCZHPkeEL4+cQhkiL+m1pOLHkTLw/BsEZ9Jn0EOSlpxAcNheFQUSpwRctAjeL5CNSgWZxWUpVvCJ7eJTC31NaAoQS5S9AN24iR1F9/iRrCl8DwvNa2GkSbkSIRg4GsEAokc0zBmJgzcdOnJW/DGlV7GwRScdJ3Q0WRMXZ8ZoG8fFtp43g5c6fKKiNhEKFx6RCyU62r01OWYdK67PlyDoxc4TiQBlB4UuPT+fV69DbpwMRkkTMx6upIosYRGtAGnxaSiqLNmVJjbrQirmyEx4gshiKSDrqPvpTxs0MasQUjJkQFuVwZVRgraFIkETPJkwiyUqZRmkUSj+xmOI7WUlLEjBYcYaqSChFwR7pbkJrBZNMQn/9H/lQR/uaiWbxYKURSseRU0EQ5SwqSg61mDJIwvsormxViaZlpg8RrUo0RYHQZqCbzBokdUQ0RYhLxIIenOTUDrLBQiI5PYdC2+GWGEvTALEXB03GykM9FAlnQmGjpaxz6N9hVseK46ArbRht1A9km7ZVv6IBWH5lDaibRUCgSybBVJ6lCRImuxYjoQcyIoALWgJbkl5GPZIrM4WZSn48OY1ga1TDrNxLfZz75clJCjVrZQkiIMniiwFzx42kr1Q4N0hKovlWUwoCmN6KaNozMmY5FjszYIVZaER9ucdbRIgUzQYu2iZIgIUS5VcDRNCOd4wIwzRknqEggIomn0HAL4X2HpeIDkLNBXuVpeYiCCoQ5WEMDrUgLW4YczFjqeq0ZxTsTSABaZg2EgI0KsSP9ZZGQUPFqbuAx1dsIAUbjMBq/rXPkEFGA0sZCI+AEVUTiH3BDS91K3Ep101CLPCVlibPCmgJIFluXDEGmfSrswChhARTzUFo4uL0zMWsgOF58KP+v/SrXzTJAwc6XnEixR18asQEaTY4TcskJaxV3hVqEpCthI2cuVXf1YYyQUbcFgqjyWt3EYF67wIjqexUBlMCIlli14uOZqSlvuFEGV0GBDJNAXimRABoSGv7oJDmDEVCMQ4SvknD9zFUxQhYESqkvisl0jOxpaHFQmyQFA4SDOrUsYeWijtGwKxWTRxhgLlCEsmEoRizQ8rISM5Zd9LNAY660VGMEHNKlmxVJEVkMUzStZtFtoITMGTBFNVtiQwWcQ11oCWB64yYpSONB2M2FfFnwXRWbEIDFzDhKC8DSglQxGk0pBjFH6iQYovmgqs0tACIiV4BaykvClsgdggTi8vdIBoGtjRGLKgGhAyf8STIwuNRQuRUVrqlIgtZB5SIETAIkZ3BGboIkARcD9kZFwyVTUPS0v8g5KDFem1QHq95iQyswPROHc6a4mopok4PE56EjCGRVaaA8MTFUz0KEVGWpTsSTQmIX60JSV5IcQu2BZeWCQMZnCnraW50ODoXlZcZ/WCIRHwLB7MkIGNoEpSGXs1cMPRCkKelizkVouUm0dWWpQETdpJFhM8jM4J7CHF+jlW8WPNiYNQS+KnbwRiNjKUoCaqhcA0FKKhYMcTkAUdLGsEBcBZMVMNMKiVbW1saQe7UWBXGmUYF94Xev/XASlh5nMa5KxdJRfoA86Dc38oWWyBci0WwZZYkSxzTGbOg2+JrwoihRoAWtCFvXslPiayJJYARJ18EaMhkdYIYHyzxlzMmNPhBptr3Xbn16nRo8ZY2cOrlcdKYygAojNbHKaWFpJIqRaaqWLbZ9vZxgZSOL+SAsKbzzCZ8Kye96TAwxnSyU6hhErAwbim2VVYq8nzb1EpGJbGUwxOJhiFFD7EhgFPmRkYPZwKYVRq9yryIhMDY0qvIPruuxQF6xCKFbBMqKWh9gGBlbGwL0bjoX1DacRkBUaReUxY9YJqcEJVvUyKNTwsCpCzAXq+UggAM3+q25JLWja7vSRBX8JCjbGaNdp002LpKUOUKiUSsMIXDcFN8JLR0WsOGyajgYtXuwJEJbSFjZOnC42xsBccVQtozW4qC9xV2IGxzkrwxMKSjgbPrFsNtYCigiRSklyUrZhwmRI5QqO20hbPSBLZA+HvR7EqzZWA1ctCYSDCPYcp0AaOTsamHpE6lmnxiL9oIL0H9G6wwBf6vltYWQFTMKRIDk4c3GGhIgSlUB66eXhlmEDFBTNeIOio4K1OOhys0bIWp2ZMzKzowo2nQPCaqPeHtWEs5u7qWiFYuhUjCbUAPb5oogXuijoDRbIW1qwqQxbCPgotZecqs+yEFHB+gGWV0MtEekVWSinFAm+MgU1mXKIkhyosk+rAlNCLCEzIdG5BAEhE44VpX1aIlqdxAGsZNm6eJedPEBbVgygUSkPgPc4KsDILX5hG5GIh5V6oG4xYGS3Y49F34zksNpVlrIBYIuYgpMCB0UV4ANHwIEEfFkrClUOvPGTg1AkkveLYAw7w9qi0xMlDpCyJ01Koej2A7u1MxmixBxxXttRggAqNWNOfEyyGhnVc1nTOhpHE4KJ8ujh9VJ0fiVFtw6mBVVBZ4gDGaYQxEYttqFo2uShWZltajxvYGV2p46GWSyxkvoG0NHyhRZ3lfiIZ4akKlrGoPp4VzGCcxIKrtxzuMJMfkP4JHiMr2ZjYEqytIZKpKxxkxZscZkNTaCkUXqA42fDTFX9ICx3lwBme+BctM86yjYjCM0spyaKBHV9pSanCBQNwqIiPGd20o5RRQlGTxswKO1vAz53q5m4tlhansQJQEr4J1P+JSNmyyUSaRIweBOHyF8dQIqmMT3WuSELlVN+1UcKMZpRRQrXimQYNdJR46yeeCVxFAJjUjpUzM2C3Vta+UR9AkRK7CsEoEFjhVE5kQU6xxsqInwlOWuiyF1ULBoPiIslCFZDF9ubHEAkNORC9SDLMttT42p8vHyIDDXQTS/ImGcAorASjLJakWkp4rORTEPMUeMVaSitixQVAL6kqlQqw0oxRxRksij1MyVkqkxdlScCkQBtgpYGhR+KBVI0EuixHga/I6gqlMSs5F3qNQllYh7IVU1AV5KhGEZU9EKVgAzClFgrEJFnqX/ZKtmPjJz3m4i6VuAmo0Q5CLLDiJYI4cTlc0QLj3caJWDIWo2UbBhMdX8ZyTCZqIUASHWW6EIRVLZBOhOpc0CAUU0hHAccfdyoAVc8TKBeaWpbZFoyzQxS+xX66NOP3nF78hQC7ZImxgAOS5LbDgyAOXpUaKBwzVFM0IpEJnMh0T6jEchQ50xcPWdxSw2P1uzTBiEBj2oU1riwJaBHFQmeOEneXJKPBLqZ9L6z4xkgsbJGaHJBpE/4iDP70KLNSQlR8tW92QFBlojKSN0dXog3c0pWhNfIMnr1XkeoSI6JqCnJ69JAWXIjBUxHOU3OyeUEVwk4TM0p0uBIWOR1fS5VzaDGuEUAjpicFGxB5MWFAKHK07J08+WCk+2Cn1eTk6aIVLZOgdtLVFJmQRzFVlckDQBQTeyGjzZQdlMkqPfGMAZno+Y80VvboDjW/WSaHym9Zq+KfL4bF4ZeZ5AGnkJwNFxIekBO7FE5+z2SXVKRY8GsOxQdZAm10NmMQeTwrufPb6SJMQK0B3RwMc1f0XY/wF9vX2Zj3VMlOdqaqIhW+U0YpYStxptiluZu4C0d6yTsXW6fkntKKYOm25bg6JoWthvhw2kUpyYZuGB9kASKMSu2W2wQrRVlGTyoxVXxSJXBxkNTTkgSXlZZ0S5SXxfIUb1khAghswiSjoKPCiibXTyTjKrJiJDR9kBYTeyHhqyn4JeE+pvBGRDNIsjhdNHZr/T7KMQAAEABJREFUhWOR4ciK37NK/BMhe4Cjy8FNhbDATYQxWVMpLgluIhkOOpsGJjhg9CIF8kERI4vGOtuI5xQaSGSsE8FOQVlm35wvxySgaAbc3BT2o5IM28Btj7XYWHwDliB0VVgMrKgPzigpvDWkRwcvl8HDJwWjrOIrYqPFHUPF14WEkI4TG4gdleNDXMxS3CzJIMSOkFWK5UAksRVkW6QTFzUGL2MtXjtK4BaINnkwQMCBkI3BxmUyuDcEU/JAHy9OaYYN5kJFXjjlByYcoTIPbxnpuBBNK2COXlQ9opSY2i7VdL8oZD/CPcuBPLfiSwg0bKDVG0UNuBWUeOIWKEdVBmVZ9PxNCWmpyJjwBAAdGV/0JQgmfngjEpe9QkDDKNtik1lh50sKJ5Fa1qVwlVomYgmxEgcSlCwlxQEPzb2oNANnxqPgX7LI/UeB2ssUL8e/2HK2S0MBU/cAwMbOpD2SLlaqBkCq1ImZosiETkLIPeI+i8EEnYJVcFVZconGipEo8JtW+Z/YYW0WwgAlEB101CYgoiTzRkejNNM6XlgNfa9jIXZCcXwKujJ6RtVSdGC96NtBGslq0dT+KMkQVqlfZAHRUEgaxRlRGkg+bKvTwGQDYSX8rOzHJC6r5Sglc5SoOawmyYYrzh4yDbe2whJ3deNjrSqOVDDRNF6cQ9c3DZl7swrjDE8EnkIO4zBkHBfR8bU8nNfR/MQogRG1kwXXY8liQO5sh4R7gY5eVjfCobELqxgEIDA0jWAZXOTSnIsMAMHWdHhMSPC4V+CuKDEVCLEq0fIN7cGXoAerFXuFLNnGT7MC4ilWVTNuGKAvLJAntMmRZ7B92HEEUSgodeLnYVrtnhlWmHFUZ2gUwojCtogAYUISj1VVlErqimiDoYNQJlfXIom0opDi6IqVuAo+VmBMwo/EpHzlkD2ygVS1DUVmNPGMOGRcvLdPVCvBCJwuOGcIvSMovx8MwiJhwp8R+OI5uJuUYJoEIzPFEC5dYsMkpW6JSWmlfW7AVWblDOwUs9BYM0qwlkbDkVXIMJEAIBSTh94XeK/x8vaDMhyFFUMmQ0jCU3aLs01e4C1DD4AR3c52K+NKIaplXaYe3lbmtjQGMKyss1dJDjE9j0ygyiaHW0VS+GBhTGZIGOgwwE0+GIiVo/fzKgBNXIPnkdUHAzDKYhgEyUVVDgmj0GGuxYsNXBQICeAwxE3Zub4GRKBqXPJvIi4AVMhSvL9kgYRTPsAksnJG8GAKZluOBkrIolE5TZKt0CW/CMPgaygtqZRQaPkEkdFnp7QzKCDVO69cMFZ0F9fSvFLYYyMOUkZiS0RRiTgMKAoalGxuY3uDREPBa8+hUMKONb3EX6vghQhDBIqtmixgEN9eVe6Eq43gqsMhLPsjDprXRBSXNBTPSnWdRMMYioee2IIP2yxKaqoSS9wyBiMAXPhs2ZSJWwV5jkxtMixAJpMkWNi2nfon+Me7sd0dXtfhkzrY1eGcoy8F0Jm0O8JTH17uji7nMX1bR9fzcPbGQqSEK0lleFdztbmqk0f6tFf16Zf6tEd142oePYOWdPi9aFbJqk6jVo8h3G0ezc0l4+54VwfwmD3yeFoHV7vV1e7geq7IsIsqKZtc8tVuXD47oG93gU2vqLeGd7W6nuvL3frRk6NHT4+ud0ezDuZ0PtLZnknVRYgqUqg5d1VUwLcpn1tkNrNxY1zvDh89PbjcHT6uw2TuA7GvxdBpS4jTB9t5cDWPX6XvjrfPDp7BBKv4GdHEqFrtRD45aeJPHcwaO42p8SzCwc68YdTLL4q2VrvB3p68urvx6rzxaHdyNU/mpKgwagLo0J22JxtIElOak+vPzydjVVJDe+ojK1BsiHYSV60CaGPhlCPg2PAILZuAlKR5SsUeF/q5MmOhYGN522QbBqp3yDBkJdSKvBhleHkITkJ03lN3E61oDRY1CXZqwMhKhafw3ZG3Tco5DL5HRk0+VoRd3OaZE9IcxpGsJHhmXG3y7BNK9kkABajYQBE3xBrwlJiw5oMkTsWRWYKukgOiNDkbgZVsFGWnoJLEXCyxFTkI0eSgmKjMPK2KAkfS3XG30Kom9ZJHjl2FjaXNDKXSWh6MkAAwjUhsSZXwJQoG4pSK7cGDg4xMntAqdxslrMKTJ4s8uOMRFA93B91QfC3+FKl4qtjAXq0way688BCvx4rGjlETHqREYieLjS1RVa6ISBcyAMozRGZk7WK5REONL3LFdw4lsA0oGMsgq3aj+gevWvKdVehBMrGPO6BI5kni09grYQFJnN1oAXtmOyO0Pc1eFeUUhRivgUlFYPh76RLMdKEcVCChEWOcsaIuvKamtdxvmTbFEhgmHHjv8GCZPrMRiSFbnN4oXPfmlI4dF5AkljRAMREVQRxHscqGlFMatwo+HEaSUVlwBCbFJWk1D3zBoaWIac9cRZzxIhfWbJxMK0ywAEQpdrhwRZ8xYiFnNgqyVyULLkmWSrhVaubszT1okKrIqXDippEVyELDa7USgJRfNiIIkkMq3OEasvEEL9UUlwSxc64IBKVENWJO41NKFYwug8BaTNLMciLTk7OgbTesDiEzPSg5GNIQmUbkOCxjpZzB1LIY2aiA48RTK2Uj4iVhlTSyG0aIMolxV+mziFhCQSg7gB4C5FyHhJ7NQUa/KsV9VL4t8GQxh0yrEYvNYoXWJEFN7Gw8THSUWZmWwxZWqEu2NHLbC0TKh4mtUooudAiOhQ0QW0cYxydZJ2kpREU42NSXUGVrqEkkZhDVTAgonMZGokNBFVl7YR0azQwcM86umVpwg6jK0hC+saCIV5EB2uSLr6XsPEAXTsaYmSpWEuXFylThGINv2ZJFwwFO7k0xqVJIomHDMozLECNrpgFApmDAPUNApxpG8IyDpzueQZXBu4CEjFyKfbYWWBUs6VBK04tWuEhkLqGBR9n/uLlQFdXmdwhEYbFUfHGRmhwaOIo5UE7CQubBxkrUVzVJhjV+VYjDss0qMGkKOU92Cn2VJHzRWuZQsEEeEmORSCczVJ4gmXuZAWi7yysva6zw4U9lsglfqJAwE5C3KxQVxSha3EYQVVIW3GGk0TJp2SuWAWBmq2BEy90iVU07LotVriIo6NQgGFYMaEUSxM2bBRoP8KBWbCoLVLIDgVdCJkEDkSnc+GNDnQ+UVa9sqxsk+Azl9zrFMW7YRjxJThJvt9g0hBXJwGSUeWaGnCkklhXmHLqJ42IF84orUiX1ajB1ZijF5/XgyCBxfIVQRVoLSDknsPGIO/uRqRgs0mAminCgQhVZIIbHGoZqKFspYDURZXbPI/T9KJiKCxBAssyBkI8Q0VGmhkgAGiaUdmlKw0FGRfZLVhZITyUsVgn0ahQaIoiW+1A4DhklIzrQhLcJZE1VHM1U5g92FAUckyUPiUWpBjyQmKokmQQkGbBAyxo2q2HhgmBpyKYzSGIXGIRCGrYpsDs/ipCDaOiqeJfh4ydMDumZjr7j3be/4lt+9Bu/7+ff8ZMf+CcvfOjBx5/yawDJjlqYvBsHv3z6iS/++nf95a9/11+i/83v/84f/gV+p5oAeOAyqa4ea/0vP/L0J27f+9q3/dM/9+Vv+c/+22/8E3/pm77wq7/n73//z/3Mvzh/+ZP1dBxOrhvF8VqR2MHmO9/9/jd91T/8/De/8/Pf/L1v+srvvf2r51OHsG53h9/3U7/0rT9859t++MVv+6E77/qpX3z0hJcRH1KuZzr61u/7mS/7+z/0Zd/0Q3/1m37wa771hz96qZ0Odlr/xoe3f/st/+RLvu7tX/K3vvvLvv4d73rPz39y+8wrXgu2q2TzSGzMRGQzkDSplT3JDu1qPDm48Y3v+Kmv+vb3/J3vfe93vOcXf/h9v/7xLUHNIUwcB//u5BqrV5+Ot/zjn3vzt/04/au+7ce+9q0//vIrT/jdbU5/9NHul+9f/eL9qw88ePJLDx5/4PzpBx48/eXz61958PTXXn78Ky9f/9rL17/64PpXHlz/2vn1/Y89zW+SXv3mI3/hX33L53/5t3/Bl73lC/7qW7/4a7/n5Y9eSdkvXgVTuooBgZlkuEf0LE1aPO66GFfi8Jd7wVmjpU6N+FbZFpWLm4bKpnQUuWIzbESQZDWYW2iuygonLlDFVuKgMeJb4EuVXiBwcsVS8Y6wcO8R3CVhd4YigaGVJSCmGuZRJGg59UriLEZWIk+z5sFeFXfSAhC/OUu4QNcksqfEZskSYmIigCkRaTi3DgEreBeQMpZKNaIBE5b2XV6lEhtAiamCaxKjTE7sB/5SCQLhb9QwuMQ7W+izjnU4l6/jDGMbEFp4BM2THmZ78aVy4ZtVOxWErAlV0ky4AojEcgiYGQbeYkeqRriaY2KLTsbQeEtQMqSaIZgjiFYjpL0/qAGNKEFWENgsj2RRMtqxWIEapYfx4Gxi4/d+jxwBkGyhaegBSJ44EkTTUpSwZUtqOIWNBMsTG8imB7ZnC0WC4BRNllToODgo6EktvtRb7DQIrMTi2BNVNUVDRLARi7gqQMozhZ24BMFKx8SPmdixmhB2KpIIKxqJlNoTiCKmAoNEVrENkpzuNC2tuRBjNv/yiqk0AkMSzyiyAtVZG3nCJZFcaTqG/MZUShAlV9yZWHP6JYqfogqJ34Fxq3ZBiNIxF6ZGZ+DjBVtBa2bN2HgcxrDzuIzbLIhcSCrz2ywgHCqsIsmqLsjFn4mBCddKIhSHVaK28iQ/RBZVUJQCRqCDdXFu+AXFMkBWKv4AwFqCjXTiLORSoAo23CXL6SVpGGsGEufbgQKgQWcqwQoClEkbe3enECvX10o8y8yaTFWI4KOODiomdLCpXKRZwAxsFUFJQ3mvyIDeZSsWEytovlMKCvqolF00yYxVU92qwouIFgIWCShiCCFPI5CNDVzwUU8YKkK1klAdMWZ4Fh0aHJG548gIDU4Gdo8EqpSGKYBqexG92oWtiFpghYlU9kmQLQYw9MH+BmhlDCZWzBVwu8XgvNKwoI2NR3yRsqqwj5mRGqPXgpc40CqU1Zq9M0DWlUeoMNETnLoTkZRC0gDWdIyMrcDCy4Zbu5Os2EPq7RpCh4xVae1D9JRTSQMlMRjxo8NVEzZwcWkkxrDEBRFL9TMZl7wJR0fLnYMgjp2KKRYQHS3Bkkcboa2cNSgY6Qj5ZE+YfpoLOHocsgoJoriGKFml1z6g2A3HGudCyMOUZWxKcMJQAs6AY4AVWC8YEKubasYCjpkxPUb1wAgPG4SQ/Kp3oBA1JiMgFcoEyEPETKgLK67ZEpSF1ktWnTgyjNhBEZeEIndCBZYiMKDiNReLPBgdNmUT0Dm4BqOpxQIm5WSv3UKRXSUuFkQlaHSq/kSColIRKhXD0iPms0rd8Kz2EykBQOYDI1oeknCOKPqSLT4lDE40VydVqrhADy8iy0WVovNQP+oiS3BtxbnwlflThSolM+ccWCHFCiqMz91R1USHU16f5iJDNHuXhSmhUL0GF3cAABAASURBVNChSUwUweRpRIaYxAYu8YneILTCCrJwZAMjCSsz3TxsJj6MFTBB1JvRA75NE2tjwceQx+ClNo8QUEmrBTtFUDhfUjgRl20NECwGboT4tqoFjDWcBAqCBEmiAnQsLNgrs26AGc27TwR6VhScfv1s/LOb//v/9K6f/apvefcXfc3b/8yXfsvNXzrdhQFfl4nnOY7ufvjVt7/757/r3e97+4+87+3/5H0/8fP/28zfFiUBEiuvXnly8IPv/eW/+LXv+JP//Td8/dve/YM/feunX/wX/+z2v/hHP/kLX/XN//i//Cvf/KXf+APv/cWX5+qGvcJN5DAObv7Sh37wZ27/4E+/+IM/8+K733vngw8+uvMhv/C8+mT87e/4sS/7O+/6K3/3+/7K3/m+r/mWH/7YFd+X/DZ1sKvVU69/4J+99O0/8HPf9o/f+y3f/7Pf9n0/88r1wZ1f+/A/vfmhH33fr37/T9x653t+/nvf877v+ZGf+7mXfm37+Fn2Ys7JxP7QZ5nw4nXjDrdUSqliI70bm7f/0M998zt/+m986w//5a/9rv/mS775gw8+xs51mdkNUfg4+MRVff+PvvgP3vk/81vft7zrZ7/1Xe/lV6MpP6uDn33pX37hV7/jTV/1js9/8zu+4Ku/501f/T3L+Kav/u7P/+rvftOb3/4FX/VdX/iV3/kXvvJtf+Er3vqt7/ypj3ziMRu4faJ/+r4Xf/x/efFH3/vij/7snZ/4uff/5ievSFaQJjZHUiTIw88jjBI/+fEtzkcrvfZlUEEFVcAnQvq0MjHse9kFnv3IzKQCQsdexFO10EOxmAoOQxUDXJxd4QKsnTJkiZpeqHGikwNXGwEXHKNnwd0ubmN1Bi2w7FgZ2ps3AEOwhU4gWRZZhF5ljqFxWjyhJ0EgRtsRS9kkVpjQPx+ZJ0+pSHlvVWnfUC9y8l6sxEvwAFAyEaHglg0Dvdp9GSV3ihICTJwa1thYKM0dHGtySpHYoydYYIu1x/hGQJ3S4rIsoSBIdQFoICk+C0mLEaoSeZI1/oh0MNzzxX/vm2x4HGXIIWMpnuCZVFyZzBB2sMwQhVd4YaKrW//Y3ZL5OBFZZIdbMYFCpQKc43BrRSA0NbOKgIK4eT3RPMfM9kVPX3ztStFgVJ1el4gznQDiVAqwVMXZwNMLfGexIGh7YoU5CimwtkkJZ1nAXtsRBCiIqgYxVLEbokRPCRsUqGahEelNrGyRaPHNshIPDIfSvuQcDaeGF4tdxRcVGJRoIjQJycBXkBGrgASZ2Zxnq5fUeowZT8xOnlniz1LLXonGqkOogRlbySACeqHcTygNUSYx44FIEYydjYImQrMkBKliIwTdYmeDQEZJR6C0vUASMapdII+wFIEmQhTFkQSo11qQ41MrEihoeiIlQrKkjsiBgmRyL+X+I/jRKa2Q271A4JnOkwWZWm3ugrMPgAJGjSFpuTXZllwwbEqbarfeFHTFqusBVzCrG/QA2q3X4jiT3sim4UXhzb44pKLkzPXCHgNM+MPCtg/xawBpo6ugiojxm4K/lFX0SJJsK63xfHeUgEFlGTUYcqUXUgp3bigGMqCHlYWgpEogrchc5JzZNaw4hRJF8kHsbprCLdxiwymdRyJVflIhLMSAgAinUQOpAVmm3gVSlSAkZyuZF/MUpGxRkDwuMkbHBKJ4cQINfZGEwVYceBBbrW6NRwWFBC0iHV+lIcpw4SZ4AirFGyNrzIVdwtH7QZLBVT4ZC5lSJeXTQ3jufRELwiCzDyqRJJqqDKoZCzoMMbEKJ48k4trse8RlhY8MundDhcEYmFSdWDQQL8qyUIoxakBYQGeH2L5MIgsoAZIbQDB0ciJEmxTP0Ss8s8BOcYwkt2wX3sCK6pMVbrDG3jDH2ivBb4KBTRf4UAhe1k392holvXXMWjgKgvhDX2jdjiiWGqFDAbI0sUZmKhSdFUpEMVG6HB1CVWORVEuRhRMymmKq4AJCzZrR5IhyWRSKJmBGZg9b6PtgREMBEwm3IFKmF48iS6ir4wadJWiIHGuGPIBMUPpiRMAFTxtTOrPiIfPNycJkh6KwIaLIZ1AWKIPDkAkbscCCYERrUttXS85FJPRcV4ndxV4ssTsTydBFHkDTIwbLQ88KD7EXQRNCqJhM6PBkCRcAEUetsrECxyZgyyMnK0GGxdq3XnIQwkV7bTUQqmorQyx40QNBbcQwxFZxRaCrnLsMCAB28zN3pKLwpD3QFZjmCx6h4lS9wEq/fjqvns1n0k56qpzF8fp4CBwU0kRVwfugjNU9qoilbFiV+d3j1d3xd/+T23/t777zn936pcunc1oTMN49PrMefnL7Az9163/4uu/5n99/+mycTH5Lx1ry4Ncn7dxd0K6Uvxlf1TggMvppkdvls3lxqfPtwYNX/eCRTz/25NWn/BOrpkTaz+zd8ev+5rf90F/+H7/j733nu08//MrjGo9L11NPOe059exZ5S+DIcs+k3dKIvMSIatkrzws01dXT+qjn7yClv5U7IkOj47AqTS92h39tt3Rp83jT3928LqnGmRIekuffDvwr17j4Ddfvf7F/+PuP/+1f/n+X/3QS/Rf+eCLr/Vf/uCLv/zBO7/8oTsf+CD99gd+/ddPLx4/3RXkpWdTT+TH8nWZ0LyZWgLzwvPlgly1KDkGKd85SiuTHBTKbNJEEE+5eIn4fQxbAXEY+PEucniKdXDqmVHiR2eDZJvExE7lr1NimVkzCF38o2vaCHkm+HSBICpjw4gpTHuZiE0dsoo7ZpIErKUIgbA9Mhcq0Lh2R8x1J4fqNcj4UQhLszEAhrrFRAgqYduyKHYQFDpAGXmIi4mOyzLapBoAWVW4GeQlFSUZmehoUh9FCXslJ6hwgRMqBHpAPFjhAyaYi+bFVRyNWZZKEu4IrEUjCUWDhWCtpN5cXUMIG0wS1nYJstAAiYgZQnojwFc0DAkRrsVEGRBa7aI9GSw4oKryABd4dMm4MQxYl8jIwBjV+QKPTDAtZ8fKTgDg4beMik5NAedpU4wItTADQKjKvN+eJK8oOUqA4LGipHMELcccfopUDhpPFTtcWKX4VnKpPkoIxIM7bKjjpHizRK+KLslGiAJ/MbezG2jWUnAdgCV7RWFiuXSMFbUkJvSdEiyEpS9KoC2IK0S2oNLxwNB4kESFO1YzdHGqOVEHS4EzcZWGV9TogYrwdquwJQc0xbmSdYK2BnulOmhUoi+C8W21EjKSDR5yRlQQkllY1F4gsFEEFCBQ1pIoQDpsfLYCL6QqBEHizMYjCFUEbIIL7uplLyIWDQ2fd4ZYfK0Dw5rSHQACXlQnmmFXtC1nIZhRsBaOaGrm2yOyug07FYgRZZxbvbhF+dwbTaxuJCGnJTrJieIycSeVtl9G1B6CaopUpSisEItG9FDBbUGImi7somJ5GAy7ywdd/gsagZXcGU0WorEClE6MfA0ZGduyU9kXXh5e+rzWhJlsgWT0cBsX9HS0sAJzKcyWc4VQQyXJS33eB4/CVflHJ0RbwpAP7tSADJrci4+PUfAYAQxroGPAln/zilzA7CE5TavSSqNLlfLTAAZ8y+JPkhnASvzrxyCEoOaxRSN9aRT/fo7dcgJPspK5AjzMMMmYPDNSJ250NBRZYk4I6sJvlPLlmSiQJFDxgwJoDf6oT0dxMaMJzCya0TGNMk0y6CGXcUKWYKpy9sBAVxpUhBIDY6ETO+BhWWIcpRrlNpOcubs5HrT2FJ20XXaNaVxy6EXOrMtoyiwCBsvrAxKmKmCmfJDYo4lrGaDAawh/y2PFA7c5CVTGSF9pyBbJOQJRMuGN0rSsAIDgkL0KrnIaFeVqiO5UDY7rKm4RTg65m1CyEUbyZ5s5jnCXxhSt5S4Lj0pyUqSR5C2C5KFCTCXx7tjKTzYFSmIhz9mzpLCZK0MuKmCy8DPhAQ6RpuZKQ6b3k0KCoDSSt7Tyqq0atrUSLk6j5CHTZTsPHiaHIbFKQs3cJmBxey0BTphyhjCSlYSgtFGhYqAiUxx2F+ElVpaYRg0MCCoUZpUJC4hBtQMxp18Uob11oiNErGWUAkRPMQZmbMmwhrGYHUBo5iHCGbvNMPBZ9W6M4ZXT1B4DcQys9LKlhTR55iNjaEZDzhWVEmSKBkzWnGYkuedWRC6NpiePcJOQ1K1QNo7SULjUlBUBquwAasVKSaUOEas8SJNuhXEUpDgYKDVmTLGYsNj4NrTBRU10y9EN2VBY/Imkbh6fvLrePuEH+yzR31gf/baTtUUlU3wlzandTvNpfldRobc9pGE4V+Uxx+rZwcmdXz3/22/9gZc/+gr7Y8yuYdnAyjTSk56Vf+Xe+X/3ld+a/5jQh0/meKaD6ZVoRVlMEs7jwKuVxspDK8Mi2kc/cfmffsHX/LE/+ZV/7E99zX/wp7/mP/qzf/2D938TdsyOaz3V4QfvP/yX5x85+/BHr54mY36l2C0bKC715G21AoUyjh4eQ2PYCEQcZFzJc3X+4Y9fPZklWfv2+hs3cC/5lz548aa/9p1/7q++7c992bd/8d94K7EIMdkrcdLg8YAewpVzgIlXej52eJbgp7Vzfpti33cCOuvZbj7bPSvtVGWiL/8BUIflFAo/ugiwEpdb+BBC5o9WSnVDGkJnMUuWlNWYJhqfJFnykJmKPauhNGzk5QJuBJTGDUtHI9UEklhZEy5jcrapBz4KKzbcvRA6dtBFk4VBJYekuKCSyXYMJnROolglKuIgLNkaTLiRI7JyOjAPCbWG8KUCW0bOYErDBYWGsQZsoRmQWKuVYyLj4WFHTjKpCHnJCeoWrNTLVpemzYo7IYyKB+hpzkYWVorauRhFnqNEY4XJ5UkwSADGT3YCly3TRhmsrf2fFeCB7JXkUTzEsCQqHlpZGlAylok+RlOSV1Yr2fiAtIRhmE8sVrCwWuGptFHlJcqkAiNzq7ByQlw3ZE2RvMxOqox37wYSUGGpCY1Zi3upCA5I4p6SFEojK0onDxFPgsTVHshI+3CTBAZeI+mN8rRoroEC1bKKAM4Ah1BVFsUKA+hVli6LmadUQ4q/h6yVuKfU3EZpopJJFRjduEkMLsltda/aJpqRQGixZvsLVTSkWzFaNLMtRdEmMgrzfbfCpWwzqSazyvEzsJHcDJNpnJM0BpIl0HM1hjwQB6tIY8Wi3aBfeYU79ox4MGnZXtC1YqAbu0TtsitxkqmgMIPSIpRtWaiT226pSMo6skoSZ1JgzK6OCIKtlEIyYFWsc7GhHiIU2wwzSBWJGCvLkaeC7kcuI7Cl+CptxhcK1LHhG8lxCcTFe2F7oGVnirlMAoVvQgxTqmQ6KVjcsbgJO2L1oceKoiyW6liC0lwSldunijeAPTMkAqcVmy5IWIRvCkFmyzVwGJCUorQGQRTtIBWloQEq26wcZln2kFfMvLpR2xZeRqYPHnnfcLZFGHUINkvJRLalIapX0pbQlklAVkxZohwWzXLGRG1peDRTQkOJAAAQAElEQVTRdIETuVIr6Ixolg8GWFz8CUWjACRKfFCjKjzZOBGXHhaHOI7svSsGWXYeEKWd+fjhU4B9QCcSGmIpvtPYwAlGwJVWxK6Co/AZXtqQsRULDRyzIh0iUw5jYSQoZe2QjJfQDnZv9K8GUyltmlkwJ8NqDasQC2jeH7MoMSRGFf7Irlw4qXDn7mQ0+6+ABZvGwSITmo7aASPGWkOJGzJFTyRRsooELdPYk8YDK2GbIj8VzEV1EkpwKgpnMYWZxFotGmbzIKGqMkKW/ESyB6Iw7yHTjNEQzRqUEZg0RFHDoRQaeqygBe1g3mmirGIZwMQ354NlWGbSfiS7UIkcKC5K/KTwAKNr2kxoa7FmlUqzireHUrYIMZFYccraN47SHoY6AzwgRKw2T0XBwNs58jY0nUSZDg1ligdWozPxS2k1hlBGNEMNrCp4BmMbplkZG8KqAJPwa/7Q52KX+DltOL64MaMX25ZDwBMFzkuqNoqJTJDygIl1acwwT4jwI4IaB7ft2WcTv1TmSiAvAPD81YvMgXCNmCAT5DJClIDtVmSAuCR6zEOEHPiGnm3wxIdwcPLm4Ww2rGb1mQoredjNDM8OFoWKeXB1W9ZiDdjIpWQ04C3MlWHWnNmrtqIk/khA4Kg0PXh6IaysVECUkoGR5SQFaalJaZM9tDxxjEcZpc3YmxXkkEhBqJKvGsE10URjViQ5XRwXA3vhOamvZtIFIRwwyF6pREa2J/ms+DBdkVh5Ne1iy+yDQbHUo9AAHSvohSM4mTaoYBx++GOXn7y8LhKllz79016/OT7i96vqhq+UFHaTtfBLtJU0xpODzbOx2Y11HX36N33Hu1+5vLbHysT1ZrX6rE+/8W//vs/+3H/9M377b1sfDFnigePeRz7xje/4yftXN15+dPTyJ/2JK/79SWk5EY3VyvRxEKZlL6Ux/GzW/Y987N6HX7n3m6/c/cjHzn7zY092HDopxY09ym9XxZaESSq2wMRjRZ3U4KU+o1jUYKcRHQ1PmYjFFh2sb//ir+eEYEEvrQ/9hk97XQ5BvvjY9vt+7IV3/tjPv/PH3vej733xlcvH2ZqGZTAnRzCtEtRQd2eIUUsKixh5eax4lDj34jYmTqpiJgGKKxz6MT/cw1/gAbOTQ4gg+JYh1rBolMHM8cvdmGTOfZiGHaPEUKIx0Lla2IoslqoJC2CwLm77sorL0PBIEVhXeEvcLVtcN/JRY7OwRK9Bei2xIskhNgdO8clA7sQtQsIurjrBnI1sDXihJFho2BPFF5USrOIp80cJyRmuHBtPEpkaqBInmY69Fou5TKwUx/DI3ADeBZy5LAlMAsbBss0JYh5KVsTR/qmyzYIlgWBFAC4XQYsJm1GwcdkO0gDOLhV6lTPyzAYWAaIxZ4ptPjdjDQPM5DXxhwWHMvmJvdIox1eDv/nd5ZNDhS8dq0ncNJXCraV5MLt2Fhtd8IAgOjzGzaIQEMU9QRSPi5+RELBmxXKWpCBVsJGLVGSFJn8LHRmFSY8IohlLQrRPRSFUlQ2frKQOKK20OIBlHxbZClYSgoboDCy4dGQq29IczMVe0JNlmMmCNwer2fwVYuLC4rItSyScaYrGNkQjGGc4Siqe2KZl0VmPfPQRipWW5LRvVg2buzdwVOEw2DRBgZuyNrtBXKEKa4LH18IgrQhctlmFiFcCHriyRunKkJGd9zQjBSnazrZMEw+CDD9RSvhIIZbVDWrltiyORWVFVlrMViUgtni2GELySDiwKyoCFHhCKA0E3C6LLyBGO/nwcvG+swwLmzY1iNu+TS8ikn+p5so120acIldMJaHBJardxIO9FMkNsf8SbiKO0opdR62qfMjxkThMcKzJamKdKbBgji4PXqwgKKwswpcpUWWRAkw4lKPFOnmKmL81fVQmR1TuPHstVFLWziBSg0rZK4CS0yRZLrKqREAlgyjCZ5uVNkh6ivcRpTArDYSZl21jJKTiYQDufYmmURXfnIOGStNBl1yBF5oyq1yxfFwMQHAosrCYnMdK3inQgQYBq2zBAW1P4qf2bCD2VRQYEZuk8/AM0jhWdVzYsHJLRBsl7USNObiJiU22dsZLNcGnW4yjSH9qTsEDMNbo29vuPcQk9GqEyhM1lyJomUhkMkQUtSwqGeiNLyFsq4bEKmaE0EQsLIqvhdaeIh9+ytBcPFwiK5Mfdvw9Y5ArmirSoeMVZwmBWkQrci3lYg8A6hVqkVfhKwhUxIWGQPlAdR+WSxGKxuZjmviGEycXSbqEm/ZDuIbyghU5GnVhhwKxeMTAWc8YzZgNAh8cj7MnQxUQS2LyYgGrcFAbcZNMeMQ2kIqwTKCZjRC+RIsskZvhCqbEjyg7SkBJFUqQiYyAL3oyAgda+NIrVpBFxEFskgkQK9k0DLjM2gTipM26QLNt9hzRUqkIgFJY0bBAEbmAiTDRzEITPcJQZHjYCjohIzvaWYRTsIUX6s6Q1CzM/NzGjJVEEeYKMLbguZpxEMvCVZ7UGw2KQSnF1rBEX6HU7LwCRwsdMNHKGDzLM2oUo3iN+YAmUnwrmXMXwhgrDz+wx1jKtZpsx7KhgqWobi7MOXHAYJJeAg4iZEuFzjV36MyLDBwEydvMtQTUBBVrfACqEkQLNtsMjJsWhTXyCyRVirRAzJwCfsAkaIS8j5v3sJxEcBGFUl2NCRmuwPC24mKcCdslRTO5WhLMRNwJ9aKUcMWJSUl571tKI4yESOqJG1WB5UHEL/Wmqllzhr9qVoykQ/XtLfEpYZElRBlDaNxneOUpoo5aHf3Gg49/9JVHGLrXZ3/mb7+xPgTDaYoykSrhRAhciEeoqXsPX/lHP/HSD733V37t9JMPP/Hk1v/6SyXu+FgNH7r+w//vv/vut//NW+/51pd+/Nvf8fe/9I/+oc9dWU4AP6v6tn/4nj/6x9/0ef/xX/yjf/zP/eR7bxJB3ch7jJXHSqvD8kERd7AceI7hYYehWAVdWUTgYWtI7WR98Gk31jfWxyuPKEtiU2axQ2onw4g0FQEyrCCaZyonNJ1/o3v3T93e6VPtDW94/er4GE3NOjg4hBUwS7aXrX8NB5+50MWNmm98/fG/92/87s/7t37v/+ff+n2f92/+nj/6b/7ez0v/PZ/3b0T+nN/5mQejo8a5htle126S6WtaLASSoyhldPHjI4JJA+vQoK4SNqcO7hULUYagY0O41AHUzuLCzIobanIXab72iq1sABXfiiCzOxLeXPZFixGBkZtTkAsu7g4RuWIEV6xyoknTBAlJAgloW4fwtbBmKcD4cQXxZIGxcBF5EoWe91tJGBKS1WwrMBUJEKKqsv1MJb7DWhYJTEnEz5S57XhU8c6WZ8FUXSWCp/kgkajImMguqReZ7CEotbRCI/MPCCxjH0JBOHxRY+XCzSEoSFBDCjcjPalUgUfAo5YPK0lsOw8xIoxiP+JLCkhgJSGrqAebLJuYELEt1abJerACH5Ywp96JT+Eyp0vi9GdpYlA3BGcZZeI1Uw9xMb5oC0cHDgOiMPVSlEYak5sBcgTGQ0UkqQAF065GgoooIkN8sXQv5B2pYKKXUE6eFmpQoHkFKktTVvE4A1eRUmoacFtVqVE1zCkiTws+PleYCEEEWPfHgQqSEjckyQzYGy2YkgD46BPcVCejBBQzeqYScQEXz0Smg4FGknMJS2nkRheqtsISqpY5XztB9xpsxr8J9z5wi8YKg1TsQ6qAmuT5QVxxJdU2iXvIBZyT6meUpCVkCOnaCTY8lea8/h0cpfIqUZxj5UlO7B0TdApgEo6cDVKkyYccJOxD2ZawggJXnlgJC1MSxhzcXkkSxS9UBChNbkEVMLIVc3rWs4Sd3QKM6+QuERop14BIRTglGBBIggaJCxKbw3ZggIhqJjcAG2jwnBUkdEIqqM4ZbMJ5scaEq3lnYcNAbexMsQmkBw87ICqUHamQh6TkV1iLkiSWGCveU2hbuWQCSOQs8pxzl0sFDCp+JayanVDirNQ14qxguMxGXWArjR0iANamA2sx5GmIJFIkJ0NIBrv4kk3hx9RQqMRGpiNWcdaQGVk1YzEwNNWIWDHBk7gwKyZF0NJYt67SoOki4xK2ai68S0iiXrHdQYryQJEkQUmPLnggJhCjWFmCsF2BqjKAQTBOAESOSsPE1GNqRcBLpWbFQifo5Ck+9GX+iKxCkXDk7KZyzjtBXUAqdma8lanAFMqWWyNWZcOBgLrc6uRf2FAmZMiqyDkCatHQc0YAkCdY1tSVzgodMFxSDKWmT5IULuxYgSckKPwtwvOmoMOKgj4Vxyrv80EFn/Pa7zXCFkc4BJrJFAuHhKBFiFtKYclU1RuzT6/RDNgEJ8aSOgEj4M8+oyc3vPYaBYWsvUCktkuNwdonRCwoK/fnU8FQAtfSEgIpVHnEQEcDM9WwN0XDpbXEaNeiZtThNKmRIx6LRHxpAASCUtmE2AsDhNAiREGCLJo5eiKpGxr0sKp4ZVqFbxJb5Cpp8odeNdFX75WKFl/MIjYhagoTCeASbT5lUItzpwsPAxEmos28TejQRsNTJGo0ZMaEkM6CNCAUH296/lbstSKW2hMWcjC4ZKWlVU9OCpEwMjncgBDjKtxaZMEO7fgAVhzwLXmahLMk/wIWX6Yi/546Pp7YMNHR0vfpgSq7KigGqICGfaqjArNhVnIq/EiLt1hy/sQqklfJwyiRSSW9oNXy4AI45RcQ0eo1gWiJXgGEoBLVoSGBUC8HBBNuCioKoom/c/WQh82n+iBSOPJX1/ulNDRW251/6dfvf/QTr+p5e+MbP+PkxnFlOchfSOQ7a8ePSVFyfvWs/CsfPPvCL/36P//lf+9dP/7zHzy96P/7CaDAa3O0+ut/+b/+d37PGw6vf3P95JU/9oc/58v/4p/51z79dcO0UPBj0Scez48/0SefaIcuvY1klF+u8o9a4rcriwQYhnV06N/7u37HH/zdn/UHf/cbP/d3vfH3vPEzjwZfjmHLU1rNx1/0p/74m//Sn/xv/sR/+Jmf8foqdq7zqW4z2yX4UIc0m7oshaayk3BotfnAhx7e+ucfKLTP+yeunvzYe3/xso6feXVweADHp6y1iAZ7dLA6PjyydaDdv/+Hf98/+Io/89Y3/5dv/er0t735z77tq/70277iT7/1K/6Lt775z/5X/8l/cGN9xHnjxX5Z1MeswR/9qw06FF0Bc2dKRM4D/JS42y0zgBE1tpXPmKLIPCouC0rlgYLrE1TyXrZg8sbENxqpHJK24ABY2RnKI4JE6WTtIqtmNU04oWTk55WMKPCHDgIctXgqPOpmVACRYVI4eQy6gPPxRV0SqoYBLnWZEhRFqOIlJGnRcGIEI/BlBEIDQUiEooGk84UU16ZkCURMhUs951B7CCJyCEDqgCIfNgJ3MQl4xAWQBTH2H4NNZWdH8ZT6zlFT8wA13MkMUVh54isog4wlMmq8UwcGU2vg7ABpTChdfLVNFUny3+wpBgAAEABJREFUOdMZFbx4YiEDkLAWLC5csq/wwBhVJJAYs+r9Ah9NcffwFr4skwuIKBaCpI4Xe8G2yRnCZXTZDR5SChyFK+oIgeRxuPbUg6hEwMyIXztZZia29/qFAh2ZLDUaxGIluNG1b5TIeIHdR4AXL+Jmi55bskWB4IkdLWkQJCSJbQSU2sPIl1itIwIrgRWtKZhjxYKUTuKQwMgCJkhwiZKMkopEzqynhEHsohYBfBiZFkVHJO22eonpUHN/4UJdrDhXag5x8NFAHA5nyBMb4HQerIU2DwYXFCwFjQgxe1nRLEkgwbsoGLsskq/EBI9Z2PuZWRgDQuxZYoCH1SIY+sAJZ7EzhlJYCyWda8cKKOp0VOyre8OgcVus7AlLVQSjpAdOXKEPKcumt8jYKItNIzWBobciXhVdHHBUU8127SEAkDExVQFAbnSl9mIlKlKRqLqFLkJCNvBTQ1VuLUbA3aHj3UFBLxpT99FvRcir36M4go2tlTinDKaBjkiM9IWhQFZ0RkD7vBcCuVhRW07r+iKr22uQFjBi2hucrUENs/OwpphAWEGGFKTZJlm2I2RbWms8I2SrMLByvPecEmh6mJCxNttzpwL7KeuyEO7o9mjRGmX0yGZBmH23pWHU9HAzNb9a91wTbT9ocz/iVYtxGbXgw1QRXfDnSZUcxcKppXEL3MUCQMMyQlCSbXVjCcnzRXIGRMeYey0tJjSFRF80+IiGOiqD4qvWErSMSns+g5Gy4EnHNZPInL1HxJgxU2JggEUsQfSIXK1CQNdgIfCovIdIDUk0dJm4tsqcJ0eVWdJEzoTAlI3LRCqCytUsYrOildgfIMYnN7uMFhWTgYunOAzQDrtFs0Br9Bh/M8QvAKHV0pZl5N9CDFTGV4zLw1gsSq81+FBkSSKZ9qsW9/LIAl4Qe894UUz0v+XxHp+4ALMsJX0psmi5f0kfsTt6t5ChpVocYM8mFHrUw+wosyAScl9EIJJaKzHj2WPkPJ22Xmu2h2WSK8aKHhUTKvOErjKjYi5AHsLCAlW6ezP1vJFg8Pzav0D4aMPU8mt15jDFXx/EsGSt9kk0pAZj656XNAK8wiZlYJEcWoyCBQSchoRu2FZ6ZaU025m0j/bapFSevNjKPkliM3MfsSSdUBBNMn9wKx5Laj4rm7GEY1dGweY0zBb61RyHdx9e3vzffv0p/zYg1KL98q+f/osPfeR6vO6pzFee5q7mM8357NkzrEunlll+qvz/T7x6/exR/3eAxTti7PXb3/D6/+fn/C4/e7ya/N77zM+uf/dn/Wu/842fiXGYuJbpCGOM1WqFYNqgMQWwKgXAgICO7D/z9a/7hq/4ord8/V98y9f9t2/5ui/6lq/97z/7M16fLSBgd89nn/7bXv+G153cWB8ThVpbzV6RLKuSOCw66pBbsLJ3bpJSkl998tnht7/zR1+9fiLrtfbKq1d//e+8/Zv/4c8+eHW8/g2fuZIPxC9U+Jf2OAQdHq4Ojw7Jlp8V3rBZ/f7fceMPvPHkc37H5ve/8eQP/A76jc9lfOPJ577xdZ/9hhsHK+9dJb5oNSx7/8GkTzV4l4xRVc1KCZWEs9cYhZy1+agzxVBt98AFJXM6NZqVIwu9cM+Eu3s22oDULUSoUWZZiJkpK5oFFinKPGieQ7KMHDNqXJ2GusTVFCOdsBUEs7oRkCq6B6K9NfYF3iiGZZVKoVUYwUBFLMIisGznvDSxA4OW0W0Udh6D8dJwW3So6d7D9oHEet8xCiM9kjSEAZHRyh9kaBmdx+ggIbjyWJ1sRKRPRTQYzg6w0lgxZQxVjL3EmzndIHks5pAFSgbEgNPOPoiGPQRITM5+BchSnQYw/pLdoAwPzhYtEJ6WgTHTMXLxFgEMgnHhccUfvAS/bRIQrSA36pwAn6QsY0BT4LRflrLg1uZ2F8G0DJAo8GJE1ZNQ2gyLb0HKVQTwmhWZPni6A82cCZfKNgkSZN4NnIoFScKvNHB0YQ5t8RJiLyzENKI5amWdAR2qpVeSj1KKQt0K0WKQBBjWxOdhB9AX2u4IFIpGS0OqtKxIGXRRaK+WEJZZQZmoIPFGEx1qFqkoEhEzCe/XjCqgdNwqRgY6CvUjWmN7EDoXgVRGVJoZ7IwI6UR7TtbLCp8+NQjfOLeLW//aMg45rD0kUEQw6QsrI5eKqoJdniUCMijGsOVBTQw6Oize6xAjoaSjpC+qLoLsuXMo8BZTx9pHAwAYLxBGhzkQFMkZjSCmIqRCYlWiUYF6iYBJmWxDoqWBSreElsc0sVIaf2vIeRFN/BQtO265jbmwDkDKVDJ/K6Pg8phWrFRYY5fLzHRUGOCMjJSKIZMo1dxGfr7hn3pTvmWFDF8hxjYjF0r8S9NCwXeP0NAnry30/I0PHZ14D+gA4gJU4PNdVeUmBGypCtbJu2TUxYMtZeeoWVUQfAsWahdohpCLHBRlXApmcKyFS8wkV5kxVEXpsvmLDX7YMRtoYmImPcErEGKDSr2LOLJQFkMpSmVgs5WipfBYUUws4KUaKUGy0BKy68ViDCp0JuHq/Cu+mNJ5CDEkiKp9k56sQjGhG4WvlgbMUruUqAIYrEjICI4SQCM05VCxjeKp6BdfJRHWTLGwK2alOEvASvgiUYQLckSJuQSm8OrvpV5J0Ttek2jYUxprih6FurTKtnAH2lmaFs24MYnbNpiDBEw2GQOeaOkkTmlVIZb4h3nL1rKiOCQyVL6yZvaLhTFaXuIYACzhhcKYWmFjEIXIXpSzJRhLSIU2CbJQ2szAU8LPxQDb3GfFSixLSTtevZ+VmJMl9UJLTzjNsFBRSPCfExmV22D40ysMPBCOBHNNGQZ2qgQSXcFMCALjjRV1rI6ChOixsuJ1M85LnFLuqNpXGMlxSiwRqqM76omMAKBYEhwSFurDMmyEiYWc1I0FwGFsEzZTmeLWRnhxbkgbjNZYJQ/AOWFE/GFFhXmxQmIe7NQLIkKKMr7GUXEpeRpHOmvieOZyqqKU0fEAoiPLhQENrpV1EAj0KMm0MgPL4QIgpthwyPhAApyMXb0krpJOKQlMdhY8mtn/JUbTFBp+WyS3QtyrbH7AV8Eka6zmarXV8U/e+rX3f+BDgCSBRfg/7j74oq/8lu/4kZceH77hSY1dftfa5fet3fKflACEcMyaswrV46fPjtfLv4NhSv/Nj33i4iOvcJazxC9xUwefvHx8fvFw4GfzK9XKq5WdFQQlNHRzz0hYqEv8YQfIZiphVIeHh/+vf/sP/pE/9Pv/vT/0+//ff+hz/8i/8wfWRwcj0fbPzodf/5Z//Jf+xtu+6e0/8vCjr+y1KaqKEgqeOUmIIqO0hohIMHqZPT24Xr3uO3/wfe/5mZeeFk37lpTG3fOP/t3vfM9f+YbvrePX/8B3/s13ftOXfvff++Kv+/LP/+zPfEPD4IBt2MnYlqWVOczdSnwhzVE7V2QvaDsCWAXJU/KuVs/yXwnqt7bolYvFMwQwfPIoT+pwiQZVidUspKwLK06uGXtAU67GlJxbWprswWwvnAwmAJ78R1HhcCO8UIZngU1SQIqjHAGsyo7omqxcMFd0UVdyILRk7ViAg7mqXIhKAz87K5OGweVgit0rBeQKCIQ6aASXLdQWUIGaDC45ecqFsZT842FiWYHzGCvbCJzaLcncCOACgEstTixQCDaIkdoiMkNQjAkhwSxaIcyl9DASheJ496icNC1ulgOjOrnB+yiQF2xMM7GqcBUuBazgqAhR4AUODgkmLIwLG74lPmCVmqm2XZBFc3IqQY1WcOLFiEY1PTRDJuUs2qJCMSMGPPnEDaRQOsGKuAVGEpsWIftWGaZonaRqirjIwOG2cCUCSpAODM98Zzra4oVRBKDCWiSrCC2LuNDjWOrg+GBFhY9znSSRHwDwhJis6SaJnF2IycSiWMlTCxBrFaWp8C5VqpFksRwy4FK2AZCMixhL1GFZHYIBY3SWYi0vAgZuZJGeiLJXlvET/ugtgpBbMUem3sIuUi1FwVPYNONsRLpKvLMiEErWUFELS2nxKZQsF2sEgogGGaOSVVOVCl+0COWyzNWZAoNCRepCBRtdtFgjQs8U+Ggg2SJkowxqsaqZjR1etDIurGSxFZBPsKzJHAHrDCgYPhYAsQqRIkIl2CUWgcFKRRC6uRHgozvMAasoB86BoGwvQc0jiRLxRe/Ciq5EJiWXFrIsMWsJVOrWzJTJoiDKVDgUCSGLuDCxgCXrVJQokauZkCow5viTHl0RVVx/1OCruG8tsvVLHb1aMVY48/D1QWhxFmijGPGMIBIsPKkF59YImUCJw9oxspTY9QojSu0bqrx9bdurqrRsytAcCpbHEah2EO65FbzLtCZXwmA26uLcwoyIjyFEgjVC7EPTgZMwWi2tYbGq+HFCpRlbNRWIiTMa8phu1IIvEip2B0RZgAF4alpToYcKx7IhywNvpOiGhlV0FHQOhB/vQxdVjdmvGwaoVYOcxb7GAR03f7KEUVBFYkoQbHwv55ywDTJBga+soQrAWkn5WHXx68RUQVXGzi66yBsrPkIjPt0suFIkayYOhBEvVQiHulWlcJAWJUmKnnsBSNDiim65ZoSiszS8FGs2CbRxKUogskUreBAcd/RF8vRYXfgPRskWMJIxG2MRf0aXihSuZGVa1WKXPEs7axJRUhghqzxSTVTTFktozIpe8VVqiZ7aWxR7XFKwNUEufGiqJmlgaGMhxEVCSO+ZuETDixFrfIswsmUp1qziCyBWC+WI0QlmUXVWklx4CZuRtUKQsNJdM6YAyhL4lRdOsUGUPqR2L84OBJqcCFWa+8+GIwUZXwmkyJVnpL7BjxoOm/mgmxOMybn7FPSuiUf0miKQRS4mEFq4qAsySzJN5g/dLAG7cmVyQ3kd+AlGwpZ88GoqllinlkbqqjCrIJ8WCkgzuxXsLW5RSxiqqWIWhDyERCBqDaMmYqG1h5kohgpQ7HuYgArSooTBRRRzETSFt0e2sVrZS+BYCdG+IqcQQ9DSEIFMXKcRjkCaXC/oIoqdLPPOFkjKNs7xRU1g/GBJScM2fsVhIA5QpimNHEf+79RXh08PP/3Ohz7+jW/74etnu1hBBcBrXhcfv/ySb/iuv/DV33H26rieh892hdawNcDEUnY8oaeePn76//idn3Vg/Kc4rRqXT+eXvPkf3Pv4fOXJ4Seeri8uD77273/Xx1/dkvoY/Bhdm0N91mfc+Nc/48Znfcbr1vxTEPsBsz1Ltoup2LfQa+Yzc8768Mc++QVf/PV/4k1/6z/989/wn/+Fb/hTX/S19z/8ySSBY/ep8fHLx69cXj26fvz8v3bE4B2/Jxb7wnbROQmShFxFNrLyO+fhtdYPr4+/6fve+7e+/R997NXLKn2qRSYhvfr4yY/89O0/9ef/2npz8O//4d/3//8jv/f/9+9+zus3R4JEAYnU2QOZPyKUeAMPXEQYWq1qrLhbFMdaHo2h7ISqSZU153ye7eoAABAASURBVI5fa/Vb2pQfPTn4+NP1dq53PpzAoaMv4ThJwA6DuQ8URHFolGKV964PKqnlURETDbFlRzBIcoKWnca3JHnlmCAdqv6AEWrvraCBRiNaEZsldjrrWFXNiiIpqZSlM+pgcPiwa5gbPXDwAhYRx9C0jVItwNvOxqgaRomfWJFKfEcJgLo5shF5irOtshOCEWXQZdFZ1IhQMptEjOnoYKpsi9i0KjRgLLwpEFsODWUJX+ZomAjkTGFGwI/OISDLE6oIDSCOFl+4OxAaa1WCH3JmcrRlqEWrsZxtxAkV+tjIaoqtEFvwf7L1HgC2J1W191p1+obJTGBQHFQkI8pHUERUJBpBUcQHkoYkICaSZFEygjAjUYlGMKAgWUQfiAKKhGEAeagoQUXCwMQbuvb3W7tO3xl8r7rC3muvHar+dULfJmCix01jMYbQwMKMgxJdnc44zGDJi2zzgiJ3cSaGXzWVVux/W8IQUPyEUDkci4CZeJMfIsrSCZE3yepYDnFSh8XzwSQVe2FrnLtoLuREFpGKIGxnEM3RZcyJHM2w22koJ1xM4RPQdrY62mrzvLWaCyqThu01KXweSok/sFOn7YE1MSUUEYRbSWSRkF6iASKyTyolAMeSGYMGE1Y1m5oQSnbpq5otrh8Hx2aELKZECM000WwmMbOaJk2b0mzRN5znTHwL1e68krbQRpsYlANkQhaWEkJNJgRenPA5tTFYUzNy8yUSGL75N6BYKzJjfYz300BTNktBhVOhswwWEuHeQnxRKdWitORBSGRUCblHaMM7nCUIIRAk7hIuOTlAUV61zEx0rCp1S1CsEjQXk2jbpdaxGGrGsnLfFnemfsUXei47juzDHAxdyr2Jiyv8DVa6I69Kyo7GcUC1LVVGwUrkAdNBRAq6kbHTQ1hjsGDK3Ck15Vl8oSJWTo2qtnyyFClGVJOCEphxFJrTSFcoBVZrDcozxQAWQUUCQnPfEQGRwRNBIqITvQIWkkEkRaqAmmSnTLq6FbYmFqrL21DRKIAwwFpB1FHQHSsRskRdddjLFySepMNeiCXlGWJtYrw5k7IxqKYkT4HshUePJeQip8FFgyGCpqSEKPPS7SIsgoTJkwDApaPNitOk9kkoT4OiwI5BQhYtsRQrl7YNl0+Tx1fxJWpSYKGIIlIF4TkQUx2AZBREuHbRAmMxV6PZxo4MUXitKvh6nrcQw9dqJduD0qZ2VxAyLYH7WKSU8KWyrIJeORAGieUVqYJlCCrOVXwSIKMRuQ0TD0k4bBiS8MygSt5AQykRhpNzB8BGpfkQgspJoUtMcMSu4GhFDEZZxAfggeBuJIwbbzCSrXh5aJe9F9txNWgiFDK8sCdqd5G1VDOgYHKIvIoEjacQhphK2xYhgwJSWNDkYu34KhrKitNCHkcETFnMVNwrgkYaHSw2BHDSKlaClzlKOHTuRM/O+WKSnHpx0XZHLPBVEDDiGBdyGcKslAgZd3WbNSPjpNIwJ6CaWDzygVDatZRD6M0gWPDS4cCjAhtsIQSetUTM5C3StwOcY3UC4MasiqeU982W8afIiPgaXxaOIDDxqCMYfLW/RLWTGLEvJPGoHIto8ZbaOjMDSXvHQqKJk+VGUEVjhwLhOPgFRRiL6li8ohKlg+YUExlroDYWlqIa/FmAyVzFt5YWOT9sLgqZYHF2MBJaaRa7Aer9liwNvt87t9qxDHlT/avF3HfCBfOEt/z9Jx/4iGfxq4WpnzwlJ8x27Ep/+Jb3PPiJL3nn+Z+7sI4/bP7ARf5YK5MO7t93tauccdaZp1/p+OOvesZJN7zu1Uk85zw65+Hdet1fvfcO937Mg375xQ98/Itu+xMPfvu7P7g7hjemnH2uO33fLd70e8968+89/S2vOvdWN7uxxS/S2QtV8GRm7dacdKbdYi3+OHbRZUfe/rfve+PfvO9N7/rHN7/r/W979/svPnz4WMHD2kj4Ml3eY66j/LJFFJcdHavTxOUQz8w7Xz60efmf/8M9Hn7Ok875nS9ddMnanaQrnXj8ja9/jTNPPXmgdJ/Sx//9P+96/8e/5X9/YB49ulPc7eLw2ridnCRM0wQfY+4cOOyDh8fxR8aBw9q/q308VOrMTrsC3GpB+VaNdnn/ysWXPuIpv3XPhz//Za/9u8sm+zM7lEiIwGMvAhhVkm1tMMyElpDyYsFYVFHcezBACZO6lSZmApbAzAESIiIQ9bjFkVfywICqbUNb9o6MRlwTpM25fiUKiwbI0WEGQS/2HDui2heeaG2FqyRDpwCoJgggPoJM/gkobBiEISKaKGAjciDn9SPbDDSZA4VlyLG4wnJNCMAwIA5ZkyHDEufEYgFU0MrWMQEqbRIiNnwlXlLgiawy5xc3y9iIRVzAbfFKQzZWWyXTwhNSSaOxCXIsF6gMMMI0vkojcPG6RAwyObh1JobKNqY8sJFgwbIJOAMhLowQ6F5tlUgs9kK00e6kLnYlWTRKS0xAlCQk+gAhDh5gJoU6nMwbANMGNAFsBHmPpiJIcLbVO7It/pmOSKLFKuFrbRFp61spTzTjqv9ppSBSmIV4Kz7UChB6raL4LdIcXXUVwirYrNzwQktkbJMV54DYzXlQcxbwsQ5QWlXB7lhVvBIHNMKwrbxbBQ+AEx0NbjlN4jHllQkyBSLK5DUL7oI7wZOGFObNEihxsNKRJDiisc0qGecEk3CL3NZREz9IJGYmbqlrLtuiRHXbCjMKMhyJcy5P3lWIuADRvB1yXlBt5UxLLgzF7DAEhk4nGrMCUld6fGZ0cFcLNgtMy2ZUxxEx4bNIqb6SQQ2KVp2iZOR0F3Nl8wpGNGID5gSDWkPUXKDNKlNI5aCYsJVwEa4l7RK0WDsttTaVIEobRCwQioIdBIlEUUyQfP0og5GmaURBbaJ5J0FAjQPSYETDj7DcSXSKyfxVwxAkwlm0TBZJiGIUY025AiQruS3kXETMZqNAxUYkmAyhC4+mJUhpa5W8B0JFbq3EwuDBRKjli4hvQrlPCxRIDRg2AVAUaU1moUTmEm05AbITiVzxrCUsX5RgBOYlKzUIfwlxp5KlK62kaNnK9mBBtsdP6ekJB1hNLNHIi1M2wig4AulngG5Ks2Mnd5bYcUrQWhBawNpGJnGLihWpoxmBUsFMQKW1UAGxtW8pCXBD2xoMBpj9KwaTKT1yKEVpOdDaWikLZ5knnsjiEwOLeOuSQHHBEoeMOJe4JGAEDYG4xrHI6R5oYIlJikgs+Br+jJqgS+/UEKtMg9YANgEyuGDc8Aj4EVuVKTqf5Q2hu2Re10YvqjKkCpQQFUM1Ag0GvmakQ6QicUlAchlZwPENrxDNBMhMRwCKYPJJpGJSGiB97cBqb/QqZDSZnxSjKJExols0U4LRqRENDwQ6FaOG0WlAKmFhVmHIZS08EYuAFM9mwi7U7oJePEpIbSIyq8Qnr8lNQDHiWFCB4EeIRBC0SDABRRAtmjsIelspB0CCrTTCVZcTK+cap8KQ4VSA0Fmxu4RvC4hC4L0GDJrQoOUuoFXBEw2o8lFZVMUgePF0i9V7BQzxSqIKDeOAJTPuuUQ5DaqPYWwPlTww4SccBhabNQmQ40WABogVRHFZMrCjEZP02YOEkHokEcaEyWBJpMJf6GwLTneud2IhS0pNMYuJAjc8qjn2X1oH//5j//2cl7/5F57wG5/+/JfLmAZjI13n6mdd9YxTh7bt8Jx//b6PPOrXf//lr/+HL+0ePEItWwsBdf1rXO3pj7zvMx72U3f7/hvvXPxfD7jrD516/MHig75oPjL1z5/+r9e9/T1//tfv+fQXLtx+pJQ2s67zDVd56Nl3us6ZB655xoFrnHnc155xWpdc/GZVk8p3ax6dc3fOvCLZIuFW2im+CIiHhwAu5YhyLBYzfwo4MLQjUb9FyzGy8EQzR1sHhtRZivjp//afX/rVX//dd77vo2wwgcLWCfv33fn23/HiJz/kV37hp671dWfsszgiwpL38xdecs5L/vRT/5H/JzERSTQszOu58N2JktPnOPiWv/s/z37l237tlX/xzFe87Zm//fa3/v0nvbMfKg5dDaKQe+E9MOuxwSl86OOf/Ot/+PA/fuxTR7in5oFmc6zkFdsn+4qy5hikxjsm5hDZcEAGGlgBYM/psR0k5pKdztcKBCGD4GFOCJdIolVGCCRkh5fTwMkrUeICK1eRfHTyibbni2turBtCiUBFMj9gvSRMrYBAS0i94o0CZ3PSKixglLGCAHaEbTpp1cmLcRu9sJSiqHhIbhGAIHQVSYunDFLicTPRt5nwRQkNL6jaNkukwVRZJQXgISl+yCV+Cg1DsdIb1VZha2ZPwwhhkRcxL4No1M5S+Cac+rWqMMnZoM12HKNlI7dVglO5+JPY4qJ7xVCYKn5aMMdgwZXIGx6CbeaqzLhVmK3I/YMx/qbF1DICPImNV0e3TI9cyxcvEHjhZ5Rma6RQV2C13o+zKhSAZUUgciBikCibIkG2CxMrUmAkdHyLiGDxAEvcFYgoPOSGSAcXcTRSEgisgEXNAJLIp9WwIgTFSgpji7V4hTj8hAGwDU9mdxFqhMeouGIBBEIxB5A4Wz4U9RAMJEyQUBI7GzEyOwlejkmE3Arhh1eVKngnLMXi+GmSATyIC0PiLGvMhS89fqLlNICwQCWXmr1ntWiZFg2iRfREi8yQt4ytL1YSR4khIrFSF1wLmUzsSsYtK8KyxhGMKpTiFb4NjWS8J2ES0Rj0eODsFQ4mR2PxCCYyqERYBmWsE5AaYDZ+SiMGzPAVWwtjWSM7du4miJZLgVBVCuRNE5/QALAiaT2j0ClYMjpKISwqtUiI6jZ6hsBaDNyJE701ZMElhrhXrQkDMdhPUVusgXlbWzhsmfNAw0apcDU7IIoQzNpWdqXVWl3isRnmko8JS00IpBUEx5wDOmlSZUsUw8qzWJ/+BKhsvyi0ULKD2IkERCAhhWC5mwyTiYWOTHCxp1ZQ14pv2bJoBIlYRClUQA+mdKCFLKFDybYMzAjQ0p4jSmyohQsMuCRlOyUh28GQA/LvLS1Z1uWNG7hVMG4TwLZsKtWUMTMwQRiAKHRQTFshCgMCM7CgrYIihZTRtj0Olw09UUHouSQrL7Bxs5jUzeInIbePozq21bDwQmcGQFFt18iCIkwZefpsxwsiXC0DtvYPXnuPDpspLrbtcNZMGUsmBiFwWapa3zODEUQyP7CqEIyaAeTOCai0tkZwpmNb8J7dSuztqwDQEp3Pslxk0kRJQMQYYGg19hBbBkUsLIyttF1GVjgkSUdDYU5HIuoWjrR1pxhvRfWa6yLaSm6k1dGXCWeQGBhuH9VarLXCraTabhy58KVr22yoylbVDbUBlGIkikugnGgMcQ9Ool6OHQIG7HD7/bf6IVrmSGVb3QZ5bBRHkLLw2mpBtDJTInfGyD2qelmGJdrmnw8wsJW2MpFb/dJPlHJmyyDSSsdCuTxBBE5bq+Hm8pJJgSGbKbJqAAAQAElEQVQvncLfBiZwqdfqL1fim1UEeEU0pYbKLmWTyzvn/+vnfukpL37h77zuP754YfGPp2Mzxti/8defccpvPOmhT374fa7/jVflVwsPyToqnf/Jzz7r5a996vP/eI7jiGjQWPIfAvzh77rOHb7jG2909ZP3H77gNt92jbN//HYnH9hvMormGp5OrzHk4Zqb3XnDa17tuU/8metd7eRx+MJx9FLvHuZtKkUy5sRt1uQPUbV7RPMoJgN1byGbqmywVNRRWMA31g59HnrSw+/54if9zM/f+0fPPP0UTHSslbDUYnyKx8HzrwI0+C6/183LLjt8tPqNjyLtjcQvQz9665s88uwfuuFZx93zB2704qf/ws2+5Rr7XZuhYQ3pGt/wNVc541RRs1ZLJah0O4kWqp0Df/qXH3jGS177jJe+9pkvf/0zX/HGv3jPx73vQC1HqCFLCD1RrdJY6ZAqBUu71KzODExXcWEwNbcyr3+GKFl2rCkEf6EvXpuErm2DBwlukQRaw9XHIGiFsbA6Dd0BtdfQVLGYmQ65O/aY4NNbggZIL+paiFlsTlHsIoriC8i6umUEVy8YU0gAAxQC95uqkYoI6GaoMkHupZppkkqccbKUVksd9ggUIMKeXM1Bs3CK1SBOIzygDFjOjICGlHhIEFSowakXDgpdncphMCBDiF1o9GIorTIxemNWw8XvQqKhMh/r2zT+KpgPhqUXrm3izotTHnJavNlffIflMTk60xSzcn9AXagFUmv/hWpkdSsYS8iMJpm+BCQ0ZvharRoYS+k5SARofVie/PtC8dAcRJSkSCiAgZUDQwaJdS2hYSyoALGyMRQJum3Rq9qMrOE0QMcuDp+ODEKUrZAlcUuRhpxF2Bm4MGNZWEwzdTUOFrlYcy3ZvWXo7pkAVWiscVMxo9doDIorE2YAZOb0MgjUyHkZF+p2iBXiBIkVIkvmDGJpjWipK/RECx2MHgmUMFBbRwNErMWMTnLnPLS1mLUA0ZGIDJDKULqT1YyWDck0lv+rt01EjiDJ21XdXFFLfEuvLpCJnkTWNunWt+E2gGMzAWY7YTHAKmUbEGAYhmJIlpIdRwDLzN1hL1nHWnReW0TGzTw3gGX05ZUQqbgSpHRsJqJRcOIsyYOMEBN5szAMSSRElIgLp5C5uJm5Syx0PjaZY+TzapqGnH0roqt4peLDB5pA6CYKBYsWK+yCXo4JDBOEoHi5AZOsshlTT8HGiroEWNw11FAJBAWJyMwq4YqXKAwbvslSolSJTC1UmTxohRFYswERc0WumiWMBU0hMEVcVoBYVaat32qB1OdtQMJX5e1sN9+4XBhNSaMc8ixPeSYceQlMd82ei9YCdDVjZDG3b4bCKBkSQZipguikg4qMVaBRWNSPsETk1ig3oU01RQjkWf05bjsxZdrg2SUGu/CW5YKawYIvlRlrcfGmDdC+rAM7iWAmRmdwYqYATDAwIZi6XEyiuWtWfvUt8mp6gTn/SeTZKkJbmdCVpWNhZQsFmYB0grlKiYHLRKhqheQA5EyR7ABlEoZzNYdgiHyPEqjSqJ8gRVVEc7FTcRbIgmim/NXYRVDgQMGaAuhqa9SVGyPURaPyiX+fW0Bkorho0MiPFYCTaAEn4bKsu+IOz9AwKy0m5N5jleLCkppEKJIg0gnIjiamJs/sOqWVamqhZBEc+nQx41LQuLEi7CxjTUxScIchtFWWSMRGECxP02TO16L1NLEKyeSSzFYIWAhgzKQTyR1rYTH1bK3FY015LPnP44nwQq6kroK8diTjW8IXKzP1S4BApAhNq+FSZXPDYzV2IXQBomZkSXFxtQ2lymKzmIIYTQy6jYG84SBiNSI8CVlViGUH5DQwIaJUMaVs40tgbDxTMDzYUhVM6X/4Km8lTcDiRKAmpREkeKeM3skrUFuiFr+7zCJJTURIX/zypR/5189ceNkR8WqAVnOj3a855biXPvsR33WDM+9yuxue88QH3+jaZ+0f2ux45NckX3zxJd9185vkfzqvI2YSNe5u5uHNvGTUpZt55LQDR37hnrf9lZ+/6zeeecq+4ssEX6OY03c0983dUw7su9edbv3KX3/kt1/7ypvDX6nJn82OUtwoQomrPVQbRUB27Z6wqWtd9dRrfO1p33Dmla52xslnnXHSWaefdNYZJ1+t+1lnnHTmKQevfNLOacdvrnRwXOm4sTMvvM1NvuEnbn29H/rOa3/Nycfvc+2z6IQd/ciHBrIlDl1p07zAVRddfAlHw6mRd6N5ynH7Hv+Qu53zuLO/8bTN5sjFB45e9B3XOe0FT37Id9/kekSjX+esqzzj0WeffiJhZiXOdsxECVB28fsf7zRDh6cvmzpELx0p8m2m9kmYJQ5/wDXVcbZD6yYSjSB0BDi5Ekd2dXRy+13RwHOZLBxcIo34lAGSir3RC4qK0CDBGRBBQgCu3cimibO3BU9UUxalF1i5GiYpRnrlfCRLsTJBpCStFt+inNYqc0GbCMXQ5CcBCXLsxCZWtkOPAEFYuaOzx+4WxCyC59MBw6waFpmJOmynbPN2VDyKdFZhxReNAnoXPGVpb+OSZ1iCQBCZKXlZMHnAU0elIDAyIADW2AjyjAg/oOBRqypZmHg40AluCqZu3CdD3Crhlv0Kv1hFkeHiqxTC0SWAZHsVD6puRJiuXeIFIggl4krdzFoDDkKK53gIIdLJphTm1SfFIw1xbLEWCqtJW0ImqoiRUeBABMGKG2H6/SfYskWCxNNQmtmvKJABFAFfFmIj9PazZhg4aapk9sOMlBiMYkixSrIjQEcULTSzJYLsgWicPDaYxealFlyC6NwKdXPKa4mat3FEcgbRBo9kGTPHUyIygtLYfBbGkkgxhUuysBeei4BE5Ox+Y3NguSRKRWFCFNeAvMCZi1jwi6r6lZtKiubivUBY6QQpigBVTUIik4ZQLZMEKzOupHAeqTgKHEHwBSQDTtBQzZ2KAXuhtlW487CoxdvBAlhYTYu/yI91RY6ZjVADMEdqYnPbUNgU7BKhlYYXQYpDAhY4QGEMCBffJNkysZFCmJWGF7SVP3qkTQtM2yBI4o2cHRU14J2FOhLDZmaiZoScr4sqHJ8JGxArHYHU0GpVqL2aVI0oLrxVxFEh2/AJhRUBaynfSSI7L09142HVTPjlghNC7yhmSglSeKOyeIwlaygqKIk34mANMzYSZBtYpQE2DQmjG0HGapwkBHGHiozwjAk1IEAdsxbPBVuVrU2sxUGayJDJpXYXjRoyQ3PTMvmrrMVx0F1TXUCoRFPawJg1ec2nE/kElwwYIKKgrsio1CAomLXyUkcta35hMk6dQliRC5cxyFs4ImeeEDIia+vrNB4y76BE12DjSbxnRd4i1FITuZTobNVEEwUQDY0TNA3MBClYhjfQc+CI+FM/vYZAY8VT0YTNKJQqrwoIID45tlXBHyDtGC71Ok4AqHsa5fGpDS4C0SMZ3krOTAi4lZTh1uKYWjlVxyQEglp5ReFqoS2wtXLryJSULYtGGIKDVbNBUgCFATGzIcwkwTAZQInI0O7k0woL9skNwMIlb37xRnKUYsJiVPbRvrm3FB95UkOVCnlVhcIpAiD0HaYArh4uRKa3kaAxU/xCBr41OweB1sOqMvaSnf2abWXI61iwgSjDYDk3qqAP+ARyLKIR2Wwr0ciFBjtdtBqwVfGIYZtXlL1eFw6HglOAeGIlFTW5CoE/SjAnFb41obXKu3XM0DBBJzdQB6K6vkuSjT1BtpHRh4hA5BxNskOu7Iq8QBAUDR+tZvUOy6jtGQGZHVWzhojIxEysWBMHcc9KzTCH5a6qrRRA2WxVtfc4iq0lBumtbgnaQvRwxUVR1WSjMzuacKuw4lstqAgBkJrrCpFjBS7J+a8+q/PbBCFWIQhPrErjXmaR8JASqiVzB4sXHbTywq2NZYuNWTIxEod7Pne573xejDnpwmvuMknZAXXtFpMODF3/G772BU972C1ucNb+Ixce3L3wu2/wtb9zzi/d6sbXO3Fns0910v6dh9zrR+5wqxvtd/5D7bhv+xS53KXJ/N519OR9R+95x+/86z957u+/4DG/9KC73e0Ot/nh77nJD3/PjX/qh2/1tEfe9+2vftZzHnuvq5+qze6lorZsQZpHr3fNr/2eb7vB996U/s23vMl1z7ryia4jmzp64rjsVc9/zF+95kVvfs1vvuVPX/Lm17zkLX/yW2/9k5e85TUv+Ys/fclfvvYVf/3G333Hm1/1zje/6h1v/v23veF3Tzz19C8fHV857DO+5msecK8fffwvnv3YXzj70T93rzv/yO1OOeXk4pg3PH86VfMoilOoWZzBBRdcwAmefHD/N175Svf4wVv85e8+5eH3uOXJungz879HyLPe7B699ted8uRH3f+W3/6tN77eNV/7O8/42lMOWJzG3HtMnD8HkZgeaZJXg6Q0Hk0W8XxsUYUNVByC8iCHvNmYX24NCklpHj7h4IFTjju4n9fu8KwZY+HQftLgoSshnM3gMsxUNhyVKZ39FU8Zfag6LrDEfl008ZV0CJ7xQ2AWUVmKYZkNqrhZ83LfZaCC+PKKIGDhY2tDRLoTkOEEzKsD6yCIaE3GF1qsWNQhwCWXjRP+Wm3I/EBKZEQIONI3toDt7HEXiXRkEib6QKPmiq8ilBCxcwxV5qwmLDLBg5u8IXBAHHD4JpAwFo4aU3tBSGSJpAhiR4XMSGRCc/g4lJQdiaXIJabkUFwkSy3w9muYPBqigxFCybLLge8hwBoUSh8muAFyCYpciOmYqghCFjp5qZ7iO03xnS0PmbAiao0uY1b0NZUq/LwKIqy8yvaKM6KkJZKIyOJ41kmpNXeLraKbUjEA9jWAHYQtKvutnIQsWlfhLtJpg9tKqoqVKmDEF4TSltueb6xVolNpVkjQ+QChgIm1yonbpkLBCKXLozSQbKFCSQoCkRQaBp57bHNp+LH/2XEiF6eOW5zgcqZSJxJbA0ggdDtbQx/qFB1rlNMSnI1awsZM1wCsCKJxH7SLh0UUMrAjmLxmI7C1EU7F0E+rVSZegspbaVEbVgsnUZWKS1Eo7CFXCLPR0mMV3CoKyrFgK2hikmKN4FC9HiX6Xp0VR1uh4atuLtMq74fEMoPKVJkcfpP6+jlRtc1LLOpo5Aq+yp4xQaXjrl05jydcYVWhTW4AYZOiioSTMH3ysSJwUPCpakoOQaHxmY1v8WwLa9O4fKjiNdGxLBEJMgGwl6NFxmpueIFIPKwiKJEtCOUNmXJWeRzm4berMaVDU2oOtX3ZkdIIATGS2JdRl1wyZUvkZaLCsIJk9Sx1a+uK20WRduHCkQ4tfAnZtmiERQixPUCohzgrtctpfTKYTICWWyBIdMLsqVAq2wvkxFTOhGgY6MBqe+QpGJL5ySx1OB6CKKD9EBIjtAlGqD0ravtVLr6EWjMuCQ6HrlYh7ckkBkoMBtYcIQmCMZCqB8b2oBg5DTRFEMqZSQAAEABJREFUtDUbQahlzBzXqDBzLQ1b64HbMhqjD6etBSBz4zjVyBnqoC1JxjciVeCFrzLiGxQ7vh3YbDyC3YRixiEg+wTLm5ZoBMITqzpyC96CxQobFrP7CoUb1Np0ZiU1h6V1JgIshss5Ey2r8+7E54okC1k4JAgar4FoDFvo5mXegsS+FbC0WqrCmsgAHX46ry4RjpHZFZcEYH8VJBN6bxyrECT3T8wIosHicaMUptDEa0vokjzdLRpZoUpaHEnrWCSlPDn1R9bWJYeGuLXyfkBSfK20dkHIWdhwIu+Bk3d2oohCsNey4l2q0Hg2tpGAoBGZ2lTZhdBxUSxqIR6o9BI+5s2rl5WrkBdetpUd1fLV4MDHcvFqo2RLliEL0UozoqX4RipecbblxGFS2iQt3g0WhyqXKgQEymwaqwhiW7E2Ib6cguLIxM6RsHLVI+dJF481rkoK06SEzlw14KJW9Q3ngy3w3NrlgZqOVX18JOWEJPfhFaokozGzthAxFW6j8K1jl7sOlY2JZiI10ITsiJ16VRGzhEIHrfx2VZpHtXvUfCzPw+L7HO9YszznVU876S7fd4sXPPnnbn3jq292L9E86t2jm6MXfdOpm9977sMe+BO3u/7VvuYu3/cdD/xftzlYl2yIqCu0fkSpIJ89nIK/fPHRt//t+W/8i/d+8YuXXOubvv4Bd//hVz73l37/3Ec+71cf8ICfuOW1zjx+5/BF5h8BKXQM8ZeCsUOF332Lm9zvXne5771/4r73ot/5mle/2vAcrp06PI5e+srf+dN7/vRj7vaAR/8U/acfc3fmBzz6bvd/9F3v90v3uN+j7nH/R93zgY+514Med7cHPuHH7/+kH3vQs3/8Z5/zwMe96Pdf+463/e9//Ot3feCd7z7v7/7hny648JByZMW+S8Whi714Qw3DusqpJ/7k7b/tab9w19e+8BHPe+w9rv81B8aRi3icl2j/Zy/c/dh/XvLBT37lfR/7j0sP113u/EMP+/n7fu4LF/zLf37lcxdp5+CJN/zma33bt1zrpt/8jd92/W+8yfW+/vgDPD8efo6GRCINO9ReI2ke6+Dsc25GX52SeMi1oZpwl49POnjgYfe/89Meeo+7/eB3HL/DTRs2XV5N+A7qRNOU0fCNK/tD4eXHQwHKhqf4ekJtIv8kW4qDipRCAFlw48nM0EXD1ohkoivNeSHAhEaP1ZMoSjY1jfJ4CZQ47eblldWV5f5DGVhYpLCpGneKdDnBxIrBbHKIBAuUqHvgT8xUUg6guCDSnc04mQClWM07t2jFmAwhsJ9IybiFADkWAokomKOHsjfM7iyqSkhopRyd9micfazo617tFqLhSDiIhll2HeXsl1PyUK5kseFKaHw28qDgNuLS3zZhSG0fG3tLB/TkpZP642/hCEgMjqvEs6NC0YqBig1OqBizBB4VOOdQSRmoirl6iwjCnpFKq1alxOdxRCnxFLQaVrhGwVeOEKvThLvBjBW5sqDikqwcS5AMYdVicXfQbJBMjSZnb5ArIFBhpQJDxERdCMxYCUZ0ziolQwsK1nXzKPuG4DaJjidUeCXbMu/2Js62KklWYIYkV69Q6bYHtxzU4diOqG4lOU8kiyTb+AKKRskKUryGRECLRmmCAk41sOEiMLdVCEozT7UMEYAViBtnFEt0SfiiE7rivyziJMjafyJmv9patXcsCOrIUnybom7E6BVvr0ZEmY0Dd82Sha8KsxqJsCLbEnePC8YKQQIhg2CnvJw/v28ENNcmoROCpIiJZRM6QYDbR7hNXljYCcb9JVQRlc+SQoQPAYukvgaOTZN/WTd2GKJZ4rmRBZm54CS+s0YATnIWkFht48qx2AiCYy+BHZgGsgii5azwUmlam+Z1FiEappXGfuWI9rooARm83xWLClsLQugB6iWz7yUIBh2F3VLBKnvCVPwzVXxIBi0wN6FyiIrujgud+igsPfcrmqqgGhcONNwKt9DVQoIkIXEAm4cBF1IhiBaQkASihIb3QBEbeSWGZkKWTRdUK7MkohmUdW5NVC7SDcLSMcINhiRDF3o8RGnwVK3nGSwUzC0hwFH4AqGHGh2LGZoy78SimSBBBCKRF6V79YyVbBIGdVtHw6NISC8nsRA24ACiB1kj3tReBKi4iABtcSyi8R2okMsR2gqIlYeFE6B6U8NcvVioGGvhI246W+GMCis2eqwMOfIaFb14XSmoq01gdpFA6IUlI3KiqdoQelvZmc0uwFMVS0ETVWNhRsOcLviKs9LIUG1WEYt0C0TT4hhYuJRo+EuZCMpptCOGYSSGaAmIaM6qy6mtL7SGV1UQ6UkHiISVWYoLDMCi4kIXrRhKOXktYCAbHSFdWOHTEVAQ4ErtS5AWyISv5aFu7kZIqpPBVXYvkonddahkmtAZQpFEADDi0YNYPDbS1CAaHqphR5QsWk6ql7YJS0mRmYWmtDATY5niwsAwA4TNauc9BoEOv/oVjQCtsmBfYY1Gl2lls9LjC5M+JBOy/VsQGk9NMm0wS2xhyXsRUxzyCKkoQJI1ZEsyB4BNwkvEooeSHeQqhm1IFlPzEBa4fXcWDSs2YAR6hNQel7aWsgNjcgGQI30i2ubGIFQhEMR5wWHhX0yn+Kidu64jJ+yvq1/1tJt98zXO/rHbPP2R937SQ+96o2uesTMv5SseLsRy7W52Lzt5XPyYn77jrz/mno+47w+ddaXNmIc8CH155yA0+I44LA+POXY+9flLnvOK1//cr77wZx/33Ac98unn/tarvnjBl+vooTp6mOQa++a+4+aBE+rAKXP/KbX/5Np/Yh048Y9f//YH/OITH/DQX3nAw371AQ97yt+f90+Tt7ua7mr+/bOf/8fzP/GBj/7zBz/2Lx/42L+8/2P/jPz+j37iHz/6ifcxf+QT71v9/E/8/fmf+IeP/Mvff/gT7/nQx//uA+e/830f/N/vff9fvecf3/W+87580aWSqVKW5NU4I5mf3Zt/69Wf+9i73+9Hbnrdrzm4My/Wzs6nLzj6mnd8/OmveNujz/2zX3zGqx78Ky/76cc9/wGPfMbTnvuyJzzteT/3hHMf/ozffvzzXvP7r//bb73BtR/24Lv+xpMe8vxfue+zH333s844SNmcTJXS7Mx7A9A2N4EXYDA46cAswNstx5RRB/bt3PHWNzr7R7/9+29xzYP7asdD/H5oYpKEh++yLbMUuJByZGS3pkUrHCwjMSwSMapleTVsymvPyg915D1caehQQJiNMzdDudggdNNASqSHndBSWCUaAvaIlRcnJQFue0FLRx1Kal7a3NFcUDSOJl3ENiMyDtRMHGZb+WQhILtmM5wactgogoNIh8kswkZKidsgJXKOjXJpKxSNnpEJze+728pwWxA1CGlKOVLIRiquM2nTGTiOuLkg4sjmiVlAQeDaq2YCFdssIUwTCJqhTSMIoZ8XE2I4ovXjiJ1hWpt4qaKKIyiBdRfIEloS1iFaEcmmTGSFIMGUMhuSyyyozHBh98wBVR/nUOxg1mpsCg0eJ14LjA5bS+sl0FZokUztXttogLCr60IQdiAWbSMDcOhgOIhKoCoBQWBwLHhZMQq9zLw9FqQ9HDS9WctFmtBCEaQ2tMB+1aHHFhOO2muOZrQMlkWlxOAZ7RoBI3vqK+AGE65iWa6WbXF04uqyIuNCR2C/vBaQxa1kR17czIjgtoXGaQgBkcDlAbVQgAZLejZBDRCR6FY82Tg8SaYHEK2tQfBFpSo7dpgcORJzMbCxMYVpJswti1bobCWHYiEzsYFEETcPa7WVIAgQqkwDK2pkkRQXJJZYitdAmzAASbJXnaK1uxpnaj6akTHSIxUINQiZJFSBoMVgdhpMYSvSRjw2CkSLCxUr216PUrRY8UbK09cS2yP69qDyeJsYmjCE1hsioklKVHooWm0dvqCSTbHxRrHCbINjsuVsStgFL52MVkCiGsNXd54m3H7FevkmGmIRTiBSJqdF6CGujeIm1PYVGkPRGfFNeRCjiTb2BGqusJ3tMmFT/i2WOnED4DnCheMMxDDWwNoC51IY2FEpTkyo8FERFqQ0KMIreFRFYHcwqENKDaEgiJY7xJIOkR4pxWZtFXIKRY8a9w4ZDmE70+xgbQoNOIsS2+G1FiFPpxW2Ex9c3KtjxSKbzhAm8sxg5DV2nFkwpIO7D3idnQ0/VnhmqwWHwZMiSMXYDxABK77QhFJumWlYFp0TZTFSllKeKcXS40IQXAiMPQK85QBUooUAkQNbqUUt6N2RuxiI23CobQmyrZ+i4BEGAZhHZihI2AuNTnCJ7NQgbIIpSM4EAASC1p38eCJi5V/tqJZYoYTpPSHhUAgeOJoKB+VFJKJJBME6rbhQiATMoaEWsqhYfFXAThcNlEKbiaNK25PE5PgaYXUOA+ueXlQMOz5ZyEKYaNDgFwm1uBxBqjIqa2um8UWZXFAJhCt4+1S+ZnQcwq5YcArnRARDU2v4ORu30piPHVpfOEA2a6i8hbYvSHpyuwVhFIlF+GIStNwHxAKmWtmy0onZggUk8TeHgg1TNEeUzA9S9cLUzCKyTSysnDx2ryYbhf2yWFZOozoIHvQhmjWcptWwX0Eo7T3oJKmcmiaRcJDaPXwHwShxENQhirakLkbmRwwrzVa/XF1Hr/9Npz3vSQ983pMf8oSH3uuHb/+dp556ivYdnDsHi+/rhsZpZx6eJ4xD333Dr/umqxzc7B4yj09Uk2AMi2QUYSWslWc2amyO2kekw/ah6b/74P95zsve8NI//puXveZdr3jtu16W/neveO17XvHad7/ide9+OfNr/+6Vf/aut/zNBy88PC8+UhcfnpccqcNHizRrsKlN/60nCcixumXnFAaCSMwTDSIJ/jIVGBLnIvGLZqJpSjJtDKfmIWSZPW3mkXHkIh+9pOwvXLZ53qv/5uzHvfQRz/79Z7/iDX/wpr97+3s/8r6PffKjn/yPT3zmc//82f/62L995v3/9C9/+d4P/8Hr33nuy//sxa/8s3Nf+Ko3vvXvTrvSKdc468wDG3XLp4snz4YjAnBXikB3FQ9oDuU/47VTzGxhFuXZHgPGsY4yatfzkOZh893MxlQCRkCh48uDiKpi5juKLNOUBboQZLMw0RV3Wf38SvyM1AgQf7elaWFg7cXM6aGwNpypoBcCwxxk01x2BLYJpFWgSMfGi1UguIhSoWUvLICCQjlOy+u7uU61o6a6FUxShRi9yG4TztHwRYxUwtATBmuk901wGkGIgbm7MUq28WWIBiGS8UPbdtMi9oPtfaHBSP1VjgNR5KCVswCsqGWbK2zZ2HrmICjW5XYGLZrYc46FmwAyzPGIOPGqAlm9wFRL5hhM1dti4us2rHlrbW6QdQCqyAQsBET6Nu/WlXz0WCWEwenBccJUJlBZFC40hIAQRGMBS95sBw0imsiENBiQRMXxwbCOAT1ydhEX1oLpTpH9C2uGIabURINACgdmiGe6EjUAABAASURBVDrpyQNEl/nJecQoZB1rRETGnm7E/2mtYATPQuYutTonIL1xSPjSo+2BsINUTScou+NlDgjH24GGNdEMxTwSIhUjdgcLrFpbJQJ4euGSygsFGsdgoxuV8xJW/MSOQ2AhjyBhjglbERFNpmVVMWcIWpUSyaIe9K2lWG0mYPpoKeEwsMfi/SpaM2KTzI+UqQSJIioNGK00TROtmmKk7ggFV0YwIV3sydQVKxYrPyiFALG07gZracQLG320GUJDlnh5mUWrFSdPWQDsFxbuzJpYwZgLvNoBvRjBGMqxhKYFmrM0ePMTon0Q3CHReEOFjxvPiL0gx6o2M5MHdwwrXmRprIXZ9nZmpUuZCFXhlyafZ0QhfBtE7HVYIFjJxkxHMKWmh0M+xEpwLB2LTxQ2wTWj8qI6x6Ay34GUBsa7USk++GJNEGmGGJS8BREeQQSlNafBJFDCSxRTdlbzEApJGQIrQo0qCkjnz/+JwmE0iZXnS8wiGtFxCBPFhS9HAohNimUGtEFN2pJ3Y7Us4pThUEGBdz0dRIq1tJdXaf1PF7ILhWgEYeNwEIBMw0AoIhLJhRU2wCS4CjtFdgXIxbBlzHg5cGmFYem84AltGhenqF9CDibzg5AUqjwLzEBVgKU0Ik4U41ZY1CMFLMkpzzQKyJYsWim/CpBfCOjphWq3d8eToBOH2FJsZDaSqEIRiGxaCY26PfPTbFDWKp4djsJR3Xg9bgO6EBxSCiBE7KbUiOTdRRz4QUkQkHAtUjFmTUSlJRWxsKZGEIL0g0NNithFUHpcsMJJryAmBdaJHGzPSjoM7SqCCAnntkbkpNeL1QSpMAUFwWFhxSliqWVmNGgI9AiiVVGimKRRIiWyayqiJeFbJC/lwIfRqRZQ2/9OygTh2XN+RMdXsE0YnuNKgWD4DNESuSBLWBEMpoBZV14JLlbRqvpIYUeYIEbAn7lUFSYg3dzhXdZGZVGqaEZkuEqiKhHJIiZTZUeigQ8CAaVOokJeHRdj7bwQtXSIOZFEBEnxW7+Y80iwRrQHBhGBhIkhKb6pgZWlC3ZvB5ORklcIqDwO5u444wBcVIcfh2cVPFvCHUkFAyWE6SjoY+LjzUbj1IPjxte+6lvf8ra7P/AJP3j3R/3APR//Q/d6wu/82d8cqh1hX93yLH4f8O4Rz10VcSohM8zUSskybcj5OmkPyVqNtJ/57y+++A9e/6hnvfJRz3zFI6/QH/HMV9Af/oyX0x/x1N98/z/965Qtbx0nAiedWEO71736VW7+Lde6+bdc5zu+9To3v+F1v/P/u+7Nb3g9+nfe6Hq3uOH1vvP/u97N6Te87nd8y3W/E+sNr3eLG13/m6/19ccf2FnRRNiSlNPi3SpiFC8BmGTsbtRku5/8wtGHPfNVT3z+H7/zAx//9OcvuGyXiyQ2v6t8wKFwEsy7uzo6dWTq0qPz0//9pfd+6OPPeemf/dwvv/Sjn/7K9D6SEXbGgyQkYl49Fvap2r36VU/7sdvc/K7f/z33vMOtH3Dn2/7w99745BMOYqYYOsKxbsWDJ2yalLORi90M9O0pQTYDXOLYBTtqRlQBCKpWK00N3mxLJYso4XRIXrsl9heeCWLClUimvB2hEWQqLhi6EtYEKUVYVsQovWTCjQUGKZpBRFlGrpmSB/m9sfhNnfvWvtiyvaTm/DTRqSAu1Fy8nhEJodRoKW4lWzSnlabMj2wlBSqrxixPCcTGMKwNJZT4xYa46UDkMnxXKLhIHaV2iw0M5FLaMK1WqMLBhX/7coqY2BW5IJCIPcUPg1pLFDFhFVRrY3DChyjh58nrTdUbByC4qEnbhpouMUuEEBVY+ZFqEYPUFC1ZsMnul2cBSYan9XujeLpT5qtJnjRm6mQjU5LTJ1DWHg4m16winmhmNCj8gmPFhiIQCRpyIdcKNLEaGLMlkmNyCbkJWEETJIuKg8CkURJVlTh4ARCWO6whtSYaQZjp5lEJgkRE/IC6F34t/L+m8Auv2CKzRjXFkxeNvsWR+vhYibhABGoOYsS9vIgEgAygPBjb0DgNQwU0D1tCcU1WyxRvsd0aPH2tlgsuTBbNERwe/kLpgNMSp9GRB4iSVP2Yc8QY6XlqLHQzuiddK00lLJ0g2BpNzchEq14oMmuymyyonA8CIEL6olqAZRaK5IlrtQIQVTHABZdI1TSV29ArG8aeknIspewOO12Q+6zwlUUBRPHAd4kir7ZtlQxLxYRj49VC8kpmscoiWvxNVkTonZf9YFkdS1vDNe8G5UhVmeNCkaX8UEDZRC3gXFtBwVCOAC6qXTEhFKwoQ7ECWKtBVyBrI1qhw5HNe6WdJLLosUYAQ7UhebW4bEaOiOMbbVGsmTIs3ndyAH0H2Byf9zKRVYNFiYwwQLrIIaxMW18JFVuS1bSpHa0qjBqmhRBNwsU6Zo2fQldNLJBBanRa4DAdxOLqFm5KsDK62V8Ni2M0IRQQOb5kyo4FjY4GCCd9ijl0DEjWmJLCjjbEKaEigyKMPPdaaoITy9Sp9i40YXMIoyYFxUU1Bva2ipq76qq4qYyDtaWhGl2yhwWIm0xUXvGSZcfJkjJ4K1tBNEJRSbJjiVi2tXGZ83c/Snkq/iHXtnh1VZaca6ikZMRqaLrcGl8TT+GqrmgtJ7NIoghExkoqEALJGuYDvG3sWjkN3p8Jb2PEmzOdSCSm4yualWSDwguGCSEoNTbaiKhGoeYhWiVOBSj4AEIuiZkbjrUoiSeeU8IXixmASiNSoUqJ1aCBKxqrSZ6Taf2rrdCwzq/2xc18dahQsYoNIRchELXKM00UN8wOKEiQqNDLF4OlwY9itmxkDpyjmGayaAMpXZ0+2VTelMwPbywxmZiSafiLhmTJiq+kgZhOFvw3IBb6ULcBTK/txnlEyzoptuAT7IpHah4Q+zUu08yzd8y3J2NhxKvjOjWqow7mRKISzAOzw7REVxpWRbE2mIIGYV/9KLE4GNGKqIWSIBIBK5NA9iKLypyqiqx5fdewaDW2W6uodmaOshfxEm44m7GDDXcQkeKrIpfzJukEjDDy7tQOgUyr9qAIng6sdi528u//9eX3fOTf/va8f33Xef/8rvP+hT/a5JN4rNLNfa/sFaYSCTfJc3cwawsOj7EZ3hna7NTOxpvNoDW7yqxMh3Z3Lz50+MLDRy687PBFh45cfOjohYeOXnRoN/JhBJDDu5NDq2y1s8gisjd2os2fuON3n/P0R/zGMx/zvF973Auf/YQXPudXXnzOr/7muU/6rXOe9JLf+FX6K57/5Jc//6mveNFTX/Hip7/shU99yW885WUveMa33eibNyJcwiZyBhWxb16ZlrHRbQQo5juiv3yZX/yqt//RW9594aEjfWjY4MD1jr1vM/btbPYzDw8DxkThU/mfxb/4yNE3/+0Hn/7i1/7Xl/kVbPvSnUQVlDCTP6vG2Hju3uz6X/drj/jxFz7xp573mP/1aw+7851ve+MTDuxjv27OsanPhSkAt2Ua90FuO0RUsUVEa0vSEGbOHb2GELQYMnLBM2+JG5QwMWXzUOiWaSIDCkwpbA3AdLR0kUDdEMwdRq7iSIS1DKhjvo6vY0DIbceaUIZKakA7VuUKT2Q8oTDn327YL5CFwTAGNWOxE5W8FC42aXUDRrJTnruRYHXDokvyHNYmFEEmQDoQiwQEk1+okAqln6HYmsgqQvLyMdWoxtDwRt1g4g3uKpuokhF48HMkHQiWEqVMZFnILvFoEIC78xHHjjTGIARfA7B6SOZRpQwitC8nMpVWGIdFMO+pWUnCYpraKoWXCRgjcQiRvPFkIBJfHiQiWnqGzVtNcrCo2Ai+RGpTpkQbNmg2ixYuC7begZLSmaBw8eEmGchE46C2ecOwOQ0cC0bkSqxQGALfpLSWcYIwoMNVmvm8Ey17yNInLJykyU8EO7OUYxfVMoRS1GEEeu1F499aUOmckQhZFdcyLYhYcwgQsGZmFE+OhU5Z24BtteGvb3RSZMc3o2CmAmg2m67RJyDlNAAR0suZ90xbjaVh1Zgzu3VHczfKTcnIJMTZcroRSUFk9txCqgAEybwGcYroFLa1EnlZorclgWqgImBFgMDsFA4m89qy2ZIRidSP0rFy8EleCupGOFJLYW9pG/bqgplbKsn8yLSkwLYtz+q2kbV3pC7PmfjuyL0vC4Jo4MiEpY9+dUOy20rkkDuybSrAAZOPRQaVnM7JpTC3RvFb3yYQhJU+nB+JFEwmJbWZY5HYATqrNJzLKfOjyxuv+VZcWgYrLRqbE9GLAgK1gcmpQdxAo3CysUnxx0mS81Ny2vKtEo2n2avgtlBLWPFgoopGJCtyZq12ufUKCUuKb5Zk43Tk1Jx0BMFqQpSYEErHXJFGziJkXBQZDAYxasuPF6CTWnJNsWWVlPDhICTdVBpgTI1bOAUUaZ0ngCl6aaLSCYJO5MiOr6EwHF+sRSJUSG1FI2bFCpROVJaiAHMJq4xGOosfOgvAirCNPE2UxMUA3WsBQ2g6Nj4/+gQQl6H6nHJ1iEJvbrsuxXxqgJHIxETq7qLaSCmetVWuXzvGBAH4WHf7bo+3a1Hm0rZVNHttwBSHxOf6NvoskJQIC6kIRih6thCF81ThbVLnkROBAGx0lzNBiRME3KXJXCVUztY2Up6zAq1qgAKKiIhwCyaRYyWYFSfiC6G9LCkDTgHEeZfVNggWm494KMG6vFQlmkmRhVHbveIyF7+LFrq5Cp0O2upkwbqOpZEGIiGwMJNLjJlbXZQxq6iiKsU5Uw+OiNUciobK9CCpUSKtukEPCVcxjtWJ4i2JYrAAIOy5ANAdNdsktihjEHX7ki62JVooMFfHDIQJPgY6UUHUH88cEnKJR18Ik0HPpjQnRNKnfmxxFKUiwoDPDuQgqOIwcEpHs6YtTPSm45ZYLYNvTwPvYTnFi8qdgLG6EXwVFNi95i2UAwd0D6WZyZmIL3VVonE+kvkhpkv4cwDsBVYBrWozS2x5ij+2ZAvISxcbmB67GtRa5jqz9szfbuho2WtiuXZPPX7fja71dTe+9tVufJ2v/7brfv01zzrDvCvwm/ZmX419Y7Ozyf+OXupXXoJScexERROoi8qoYYqrlZBbq23RSizQJBNK/fubdvb/6Rv+8gfu/MDb//j9bnen+976R86+9R3vRb/NHe91mx+5923ueJ/b/8h9bnvHs2/3I2ff9o73uc0dQM6+7Z3OvsNdHvDu952XF5JWS2L1xCEBITLTsz+yUtfY+ewFR/7wTe86CppO2XWlE4678XWv/gPfdcO7/uDN7nenWz7wzvwN6tZn/8h3/+Ttv/32N//Wb73W15983EG8oZc4Sb3h7e959/n/Pr1/8oTGTnl/ed/cnRAu75udCS7V7uHdQ5ccOnTpVy665LOfv+i8f7vgbz/0mcO1IfHlZOVM1M0yLZc0qoWass0qGjdM4vSMzDBjKg+UHXPcuRDQ06mV7MoZWNwYHNJnQISnOOCBAAAQAElEQVSY82CyYg9NqYnMUHCLAb9QR7lbXC3RkdwuURAawikhMIBw5Eo7doeVGymM0LAvKda1G24SGYlDMoS4FlaDOFxceldZ286VDCkFsDu3nAmClKNAKVdeYqNGEUNw4ZXVp0itQUvd+JjrFX46PFTcuwCHlPS2RVUkaOtAJSiRJOdlXrwGbEuiJrKjqsk4I+DLs1qANZfADJlfjJXDkfnhSMImK7spcDgir4Oqq1GWKkD2g3kLNsxEELWjZTiuEYFyasiCnx45RQBYlRL73Cr2TKTgOoQJIjnP1IatrVVS8lqAZGGJUJk8mLFa3cBalwLYQ7TlG4EqZDt8KkkeIZMmiRJZtHJH4VlioBcuHUf4YJcJWxEo2bbtyiGjKWIsYJJFi+QEZOPJJRl3wqYrzR2LyRwUAG61MoG1C2vZsp0ciiohMyHLdtPEoq9qsQKUqY8RHuqisU3krmryeznC2sX2wlMV3kUylvXUWo6mpCOYpL1DE3x1dczIe1bo5lD6yokCoSCDSvofvsINcNkQptUNvuQcmlKzgS3v9pVBoHB5WaHJovUVUgJO2yoxkVkZqI5ews6UBUa6aJwV5EqE9k1RsHIQEo7IrCVPK+F6FGK6y/ZSkARfNADCUW9KRVdTmgkCkTsMxAdZjFhxaClWCaLLjWUCVDeECl4pBCQUb2Xu65JW3Vjblb1LGCpaBHX5zDiDUSOCKKGZ6gZfINCLIfWE3QFRkr+UQGbukQlZYRAwVmTRsISPBIhJBJDgxcA1q9YLZG0FmN4gGbpujOwKFHde0NQsTBnclMCEydPkSeR4ALGBNRFP8hc2vCEvU9MROzQonTcHZjowvTPj0gzlMwYTIN3mnRwKVmYSxEpECOh7QqxbJKiRU53YelyURnDoYmAF4JCJX4sXmMjZCIQSRtlNdEWpWKUWKzRshaAalteOOwhTicbhQTMSPYgpBgSteyB5T4ywKikjL2MOlxSNKN7baWtVWmQ4+PC5oKI+NAwIzFhjwdeVKTOkGp25BBaXyTuY0kCKMniYkaiWRaugxjCyP3A6edJLx36nWKbCh04aIi4BKNR2apCQFAiMhsyc3qUKlwjLGLgRUyqKO0cmFJhUtfyJL2EVDRAT2djuCgNiOQ1ze1syP7hhC1vAZtDxMbYEQEuQTg68iPEombdFZo6rSXgUgqrvQr6sKMGZ9D/yimhQXQ4/BHULhpAFj1gVV60WWFouohEcRY1QkNLg0CPtRS7lVyZAjpvO6w4LfiCdwBEY8XH+43oAxcZTlRNbmXrn/GoiyURpPljzCNOiMDDi2FBqWoZAtvFl40pDVrhKIx01RSJ3uK01Bf/OFeMatdySaw8IgmctHeeW8Gel94uoV6BYOQNSlrIWn8cMNhIhEYoKINr8EyFdu8WnC99ru+clhhpuFXP+yUZz3uiaX/OcR9/j3Mfc89zH3evcx5394J/6/o12x2afN/vGyOzNZtj0ZJg6bv/+b7/hde9465ve4VY3vsOtb3LHW9/4jre6CcIdvvdGd+x+h++98Q/c8qZXPnX7/zuMFyWxB202Gjsi5th34aWHv3zZ/NKlR754yeEvXHzo8xde9rkvX/KfF1z8H1+66LNfuvAzX7zw01/4yqc+/+V//+8L/v1zF3zqvy/41Ocu+M8vXXjZER5yIhGTnZYIbCYe2eVnim1YoN7MsfOZz3/5v774ldJqPvXkE3/+7Dv9xi/f7yVPuu+LHnf2rz/8fz3zoXd+1sN+4pxH3f23fuX+L33y/c593H3u/5Pff6WTTsBh2BzikaPzb/7+o9p3/Bcuma/+y/N+63X/8JI/eccnPvWfezEpRB/46D+/4FVve94fvvOcP3jHs3/n7U99yZt/+YVveNS5r/n5p/7ug3/5RYd2N0S7YrepUOr5WBwFq57zpEUrBo+Xzv5yF9CLe5WcXMeW8KLjEZuoGacS9x0iBwMtIQFhkRABIjIekJDVLARArMx0xQ9KKT+JAFhZMdSygkjyanDpTaYs1oFJNOPAUjIzby/aClFLabn/OFSIKVrNkMSlY+qwotXeCQThOzhnAsrhaKi/clGrEkQQkIs1EuJe3+YnkkhCUuyFLyWLRnaYwOZMWIDSI9U2cPS9MbIHInSnGqIUtiK0qwUsCCXDZK6tHiuIUwcrKOy9OeICoUfJIDSVtZTp8tHMqH04eJhksLMVecVkQVxzqImE5rzP4wEbLedoI9ADCpd2p0pdocFuWJwKPDVtIUoLxjfgXqIzYCq0FVmQQehIyN0R8ciFZGlT1s6luGrbQEncyt4Ol8Lxyzze+JKnwcunyxEvMXH2zDzrPVHLSkkdvWEf41IOvQ/6CuAi4dICE/ymEYv3W841ZEBMqy95ZUCmr6oWAgdPZoIwm01l2TMu27F0lZc69u57tlaYSLwNgiJjpiMmo9Cxi4a6aAh7p5sEUTGnxy8jMKNCa30oS5iE6CU6lHjFFmoyx4M90FsSryeYeOBHHeDI6hYBNwxROW8AuFGODSA6Kv/qirDteAHtZUfEmRkYAsJwtz1CgyY0HSuq09qMQqdKyqWSyjlzyRwk9RqH7K8HHmDMPO2eY5Q4nMQQnDarrxqe5pVP0OipsGoKt1IpgnlDgyTYZBQWBr1UyY6UjjULSLikaI0pgY+p+BSYWVkIwEy65iA2zwQoGlZmC91toxickUsU0gmxCaWHESoSRi0r1UjbyQiMQmWxbIYYC7HSeuY0pFgZKXQqsJkBsGi1EqFUgZEQROu8QKi4VvFubmBKyoIBFKkDwTEI5mJsz9WIS+WQcEMFygFFQQyQZeK+5GjE6QWkOw5EIY35NBLP0XmKdkhMhi9ayrXNRUQxQ5adFW8pEgILnd90JGGNk2hgUqYMpRkVPqILImtRSBZG92UVvDXQK8eIhgO3r6y1sVByWIlAkOKptKknhcyEgx0kbmyDUPDkIQl4TVPd7AFkw9l2iXezHKssKZbkph6WKklWg+4IhpzSHGsEISFrNS/V0XC2W6cuwyGAjcCxYAds/4oQvZJMIUjOg1LnslIcB0DHoUmZClxlWxEYVsuOzqRaAqCxMIJILfd7AnVQEsdAghwyFtEs0ZksGxPHS2rusCSzjTUBRSYJS244S9uFAE3EVUWoyi3N7qKR2YmgLY0MrZMICCuVYIJidKwiBd2y4TggdiIjWkaPtWLkqaOPYiJQ2zCLSsxRQpMAK3YUlr4hlumyuuXzXmpEzg+0LkkIRM1piJcSJqkiZGEkFgVUIhOAta2lgDnnBoti1I1jMW5YYSwBn0AxU0AWZWXbkXGVsDtTIbo0pnClN2eYxjSUf+OxDs9xqY6/1CdeWsddqhMuHSdeujnpss3Jl2xOuXTnlMs2pxzZnHziKaff4PrXvsH1rnmD61zzetf5pqt9/VnKb0T7a+zX2JhQHoNZpsk647Qr3f/ud3rKox7wlEee/eRH0O/zpIff68kPuzfzkx5+b5CnPPK+T3vsQ250g+ua0ui4IZVGhI06opRXU35hVNqOddLBzcnH0XdOOm7npIM7Jx7Y0E86ME4+ME7c75P2jxP3MfuEfUJgPshvbfwKafbNSBBO0SZTy4O/blicAh/FDfQ0jz944NtveoNvufbXn3xg46OX1eGL69BF89BFOnLpzjx02gn7bnKDq3/vLW500vH571lJ5oFw0BdceJnHzn99+cjzXvXXT3jhnz7+ub/3kU/8G7i6Ibz7Q+c/9UWveupv/tnTXvq6X3vFG577e2/6rdf85Z+87T3vPv8Tn/r8BUe5OG7q5VPrpSwlmZWHKRpakZXUYqBh0uVtbFXjY5oiMK17aL7bFRrgcjGLiVysRRmcEVc4mvZoJo3NDdK2cSGpoHi9g9pMGOKCfy4zjtXWAtxas2Rgl3BBhi0WOlIVYBUOIlPWikHFL88g6Q67KNZosB1dTF6Tt3WC0PMatyTb4gqUdaxFrQCNbQ/Mgpj0hhcjxyDzg5pupobJcjlKxVswVefwesSXWFinmY75kkLV3hw5UosENkELAyfbUKzECGzMpGChdxIAei2Q88Sp8MXWvWmJjUbu1ZeOWyLjk0LIVGXD74clali0MiYOyVIEy7aItqxIErpX3oDskWq5D5CMzRASpEQjW9YeTMZOpiyx9CgtX2EzMfAlbCR1K7TCVzVSiY1JpG/j5ROM1UUc+GydTEpzQrClstsXK3BV3stbLhohAdPLRKCQPZmwbNBRGVilxAEmbk4Pq2gBWdIxrACQEOKbccw3HEbhko6oFOuafRYKmYE3XUSgQHQ1eQAILTvSErr4REPPjrDiEd8ygZlE66pYzSCmruAr9Diydqye4lZFTjGKaCV3cpVkfnCymFqHUDVRFQsMlg3DUErmpSusFB228OIZ4tNWVFv80FkoGVJVcm8RdEixZSkmHJgj9YJA95JjazETCks6I3aABCr4qEQuVGzVGkJWVYTKjhDcwvZBw4ZKlAZZuWB8WLElaFiw4wK59wvc8dY0BD8c1MG4Ys+BLJ04TsOXhzbGSDzjmlMs9b+DhllylkxlZjpnR9qgOKu2QkWKFQeWwJXr77iRFxowvshOy7MCLBobkUYcSzYgvbcbmcAlIVEZAmnK4n1PaQahm8ZvGH3e7GSWuUbY8IWF78qLHIEFn5pTEHk5xC1VgFOJRTCydPF2QCJlgYcfEVCWgBUQhxF9kNapMlhhy/kIwUohOTQiRfQ2CE+BWOn5A23WxDECceCgIdjC12lYVo8lg4AutiENRHbB8VZqYCez+tsZvsunBSNXaijiIzdYoBnRYywEYnE+hAEgBUh3XEkR0ZOK2CJH3UGC4VigxcOkqiIsWa5grRI0WOogBHMLghlUonYbq2mluashAar4Qeh5+2igTWPDsXTFG6GNLWlXUxbibC+zF+1OwFHHqip4MGrYRiw4bBzUBUeMwAQxdS4r2FQ3mBL2rERXN5NA2kZT2ixp2iY2uws5KMeaBXd1ea0EBAnXxGAVh4g/XpwzigXOgwHDDz49CFXtFriCMoUdbniULtaBDm1afC81vO5wATFvBaeRrpR3puBQzUgWVDvyqkrwVk6c+5KYHbLRliFLeSeJQyOwJC6GqCgsDE7YFICnZMyZ1ugAovFSZRYltYEdzM6DZoZMsPZEkExnMNN5bk4jhbrF4o5ceerlAPhQEo91wutgUEjRVgjhmyYZTWlY95QqI5rDKBHAba74IBloWecqUVXtux4HjPT2qd5hVFFG/F0YDL0IQbnVa3jgkHDo8FP+3T9583f/6INveoef/fYf/cWb3emhN/uxh9/sxx/57Xd+xM3u/Mjv+PFfuvlPPOrmd3nkd/3kI275k4+41V0feau7PuLWP/nwn/rZp/zHly7TZsfeiN9YbNJ2kdIkSX3xgq/8/h+/5enn/sFTn/eHTzn31fSnnvtHTz731fQnnfPqXz3nVb/y3N/71We97APnf0wess2rlf1WXoze1iaeN2Wrm6X7S+U+ugAAEABJREFU3vVHz3vHH37or179/r9+9fv++o/e+/Y/fPfbXv2ev3jVe976qne/9Q/e+xevfi/qXzb4tsyof/TK51zvmt+AL+VVUphsxLMXhijO6KpXOePE4/p/USOw/uO/v/iQRz37EU//7de96+Mf+dzRz8+TLhqnXbrvyhdtTv2vQwff+4kvPPOlr3/Ek1/8mc99UfwaW9yx4hX0dVc5effIIX4t4C9rF1x82ZcuuuTILlpSrHF0d1582ZGLDh255PDupUfnkcoDKGW3jF0eGArldG2KIIyUN1VgVjbRhyPehwaQYmfipAwvEhxpwo2Lip9GFcEebQiCIGLhlmPBCt+AjktWqz8DpEYlTYZwySLStAPMapAaeVZ0kFhhOyXNakA0QjNLHqSUMHQuNh5KBmDZzru0CoXbwEsDD9Es+9gSKQwSsvl06OaV2HxVTSoUunZJAhPIdgRiFJsp3soGaCk/gHFAVq9abfE72WbJl1vRnZIIS+ASR0PxRJ5bXwALmEQyEhNliYYCqSTzQ8QqK63sCAy62rZKNhboKZdqmyQaeZnhIcBYclm2tzKRTQuSRRHEURHMDMGLrxB4F6L4gsbt4uRiBhagAEVyaEuKvOwk2GDmwG1WglTFA8ZWAC8RVmlgHAsSDkoEC68WUkcJPZlKmjbUOII5DYcSgtRnhskKhbsnWklAydDXHMTYGeCgMaYq8mACa4ucxhwMkciRGOt8CLonV63w6LqcplJnsWhVWpZ2VuJRXEClESFdc7dCh9SrUPBctAjmJTLZGbHjFrOZROleV6hIs31p4WCGmlAFhwnP6LItS8yKhVunbtVzJvgSFKZlhbusXV7Xiw1FaVj5yg8al4yAFMPSWnKbtvStUCsgZ75SYCzYTl7yY7Vk89HBiiQQOkqfAi9T0XhbMI0oPEbJ7J+NVyJprzzhQ4cQ/2ISzevQkBKZJRRvrSYvkITARRXxsSzrnmAbTx6ljVAypXIGonh2ZCfedNooXj0WP5Tk5AXFFx8LG1ZhJZH7XVDaLjYwmnrBXqKNVOMISRWBQVVNEvc8cvURFFyIOCQRubY6xvRoxg25We5Z1Xnb10IOLWARJN3QaphWVOBCr+3zwMKvDkWd3dtG9gGFSEP9vqcBzbR4tpW7DVTOf0KaN3hMwiM0YEXey2treDh51Q1NPOqCxAFZjlU8AdFIYIqxxTNgC5IsMmYCxNZEqg9oGnacxEKHRt9al67WXHYn5YFvEAsNOwV0zWVaYvR/o7HzOoZK4d5y2dEYOIkWXDUkO2KGJPSA5lgs0TNGmZpL4pzFsgz44hTM2ybWbGobpKDvHRpXjkMpdl/LimaZ9+zi4KjZwJSXJQUQit5cVEewJEgqC5OSiClq8TqTNfIot9aEkgx1CFlUzT2wBogpClCJYA/J1maHg2nfARJBFlB8JUFSg2Ti/EEsHobtYcdabQWkWqlNss0VZShbDKiUAVycDJF4J6ljkeMrdRjRYG3nskUl2MKVKIlO5IDkpWOomQCGTMdDoojiZCRKxGoamFiMurEIEa2GZ0BL6YN5mEJJWHBYgAlGd/YOH2xFFhLhh5XTHaiCJhFD8SWR1EpZ3YhMVYiQYyVR2bylFYuHO4UIQqq4UIpzbUhkJxJ7N745KfQBc4hWVlutTfQyDR+lCjZqLesWNRoUVbgJRRmCvqdiRuNtobJP6owftzQgvJg9U4aLij3B2ppQMcLbhiIARrpXCqWgbUBRvAV3ujeOGKtquP8FgNdd8oqIlBGmxFXqyLZGD8JaThWSSseOR9grk4YwZ5L5qd0555cuPvSJ/7jg45+94GOrf+aCj37myx/5zJc/9pkLPvKZC87/9JfO//QFH/7Ul87/1BfP/+QXzv/kf5/3yc//06cuuPgIn3VkydNyHgr/6OM5yQKoiy+97K/e/Y9/8Pq/evUb3vGHb3rnq+lvfucfv+Vv/vgtf/snb33Xa97yrtf8xd/+6Vvf8bkvfpk6B6UQAmkWolLhUBbz/DZjQ0N67Vv+6u4PfNzdH/S4e/z0Y+/504++1wMfffaDH3vvn3ns2Q953NkPefzZP/P4ez/4cfcGedBj7/Wgx9zzpx919/s98l4P/KXzPvKJjkRQblHKY1G3HK01PM88ef/tvufbdqgj9nyO/ut/fuG3/ugv7vmI5978xx92vVvf/7q3vs91bnX2tW55z+vc6n63u/vjnvKCP/r4v31299jjlE476bjvu+WNvXsJf0Ubpnj9PxtF/F+4JQ8eWXEzxRms8vLolDtHNaB0Uxuo5InE00ViZ+LsWQqyOb2SSwKgBis/hERGRLAUe1dILGMIWzYwgdhRJN6OBDtWQkpGaUGChwKBchGwxKpiB8jD2IlYiUxlkgiCdW1K4ZI3mGi2pbztk7fKHjbWLLhYA561cQ4nuGj98urItugbMGj96iAJQcK0DS5PrwbcuwtKedpWBceSa52okIU1L2C2xuOwwbA23aIlOGmU/cKhN4wq23GhXBVvXBSdjg+qCKv4UqoqLtlqCwnhYWTP/pIABULI+HIqwjFdJJC28woiGpHp6hIJIpmIvW9Wo1UelmhtZRXVUlphwBTAiARxkVt8OhtXIOZYAfnnhEjsfGIjqM03GiiTQLwOLFboqFhSiwUUGdQ0XIkckDJIbTZI4FgBRascSVYIe742HELJyoPeeBhRaTYRlgCHHoM1TCXER0scNkiVAUUrjDyabJU4lERXORZc9oSIOLGIF1/z8SjhDBN2qcNmBiM1HOAQBrdJyIlVCEVBPNyBI93UT8+nEgmMDeoqwMbTkmlhJ4CLvUxA8YEKrYp1cMFcoRBXM9Z4CYEuDM4UXd1Ai2yEr7hVGZsxRctCmirJE19hRRR74yUlTO5oukKb3IatL7SORBlcG4Ko2W214j6hVIL25I3sfpTLKlqNkTPhabJb8WkIlgcWJy4ZVsXJFbDDb30HLmOIGUC0+KYG1IGq6oAg5egFTvYtn3pMgVjVQfOaJVYepW3c2btCKHwhIy7BJgIgi6q2vkJAIQXvOSIvXGh5XgJUTkEcUazIMJICmA6VGe/JsnpiQ+jiCLZA5W2KoDgLiw3D7gkVa2guZQuEoofGvpozCzPpsSKorciuy63g1vpBJA7dSNBwdqFWq7gsIRoVGS9ybVOwv9w3AGC8ICFvBSBREqFCox4lkjRtSxk51C2ZM8FakOtyWwkiJKpSNxffnZU4MZG6PNulYjZBcKh4sdJBE7/i4st9cQwH+HLrhNu9ZFohl3nTiKA8DmBkUmBpMqeRuFpWxLCTdIqwdIGJe4EbYpT2tvgJBh9wMkgEvyA30SICgDov9u4SjkuKDY1X566QcZciVM9NkzlnQa8cuARte26QUJM2QKyWUVuz0hIQWimCiGfw1aUGi8fSwcXMEAzL/RqxHdDFEjHUDsX2c2i1rCwtKLytIkLgQgfoHNy0ApTEqwMEl+JYYLgiq/haKlpeWyRU8ZxR2ZFx4Z3DaNScuYe1B4oADMWaaBZeYi6x8SA5FuT0wo1KHR+To2uRQmewZmuiweCW8tyR27KNBo4vbnRp8oaXcI2KHVE4DiTtrVXOqgDSUxVyCWvrCXssHd9DVcCcj7stKwidMmylD2aDhIuuyLjEE9nUko8BxUzuBSM0kALU2UGqhagVY+II76wAqtw7E9liKh3zjc4o0cxMV5cXxVvajHEwpWPtpeSylbkyi7wRQg6ICYh+TJCWrw0UWn8sgAq/PtvJ+aOXS7SeCBWzZL4MiIavAop8WMJ1WVX2clCFQvylBi2uBjeSZ0xv52p2EZU4iSRRFZ1PtA1nPubYTO/MMfglYBbOR1VHNI8WH79Hj07+9EvKKnVj4YB3Ow6J0wlFCjoB2afT+KAdrAy+qdauqJorlyAEQCMW9dH931/+yns+9LH3nPdP9Pee9/G/P////MNHuiPQkc//P/94/ife/9FPfOBj//LBj3/yvH/+9w9+/N+/eOGlxe46IHm6HGISOSeCNGqefpx++i63u+n1vmn/ZoAWqChCR6Uj8sVTXzpUX7h094LDuiwIf/eOdbG4Alc+5cQH/dQP3eAbzvA8whegjQrw/9ldW9NG+caxb+jk43aucdXTb/9dNzrxAF86OmRP7nlNkScbKBU7IbpLEThsAfFyNxQ6qGRxwFqtMe5PPGGSHmO8CVCEqOKZLyoCiAOGKVm0K4SKGwgEktrLXBWoAFMgjnQsdHA8trSpJWBVJ1pW5sTC3eY+iDItN4q8Vs+YkYkmjG2ODBl1Ks1IJSalxZr18gEysEJRccFQsSWyqJxut8BkO1dA1AW7yRIvebpoJQsKSKHRDQWIMhogOEdiLj5qKQcuYQfnablEY7aJ/1XWEQNPip6NqfAKBBk5HU02jnThaxoA1Vr5AbO2zdSDmKBhYkcLWKxqob2FBWoyXsGXR4nV1EyHAStlyLTREUQrW7x32SxlKX0guO8MlxlAa5sSICrHwizzI+Mr2v8VGffBphQXG0Z68W6TWMik2EqKFQpvIamKsUeLQYlcttX7xVNBcHL8HZNttdVGSADbYXLgjsEuZfBQi2NpE1N8WbDk6MSLulDpUY0H/urDM2B2StiI0ErGXZXrBz1qhSRwdK23ltwcYJjHdh5Z8cIXk9JcshOY26X2Bo0vy+UdRrqoqINgwW8lqq2CN5IIGJqURAQuLQRQx5qVsxEuK2VvkIe7JaDWEl0WnkwshQT/itYSLRcQHAnTGESll47tgrMHEAALZHYRxSZsJ3WhSxq8q5qVYBVjItRKWrSoWEWgYiKYmiYaOSZMttTPNCsjSAJpCyoC18C2qMISCzwKAJGIPAt0Vv85HZVeyQsKLvKqG+VUP1i0fpWyXqGHV9S0dUBKh7AHEqyRENVFrBlQ2urYoBECgSK5IUUZsQKPKmjsi9pFAwLJycWhwdzqUdgy8MZAmCg94IKwOU4CAR4BxaaIQzSRK1tPxRVBSIVTnJHpzYofqCeHhgwJS3lpMNqFWKD0CIBTXBO8mq3OW6tmCNiVVlSb2rjn1dY25ObGgpGOIXN8Y20avsBwEOgI9A6kCIy4YFl5U1W+huHbJmIVpWGnOiRDY4HCOwgRkDk0GJghxR2J/TJ3DwhjUbkcHCl3DhTPaVYuFcb0KBQjUhAnXeJoKNYIVMIcW5bL+a1tOV0yQHNR2AWatEtK5GKQoK3qvHAQtAVJs8qj8pUgdpTlR5Ap/i0ulQXkECLy6yAaEnP4eBYaQQlbIOBLR84dBaaboCTc0oTWYuDeJIdWPH9FGSlWNBPIsnNhiixA3YlMlq9Cqu8GnDJWMSZUdEJ0F0HxyC5ijUUkJE4sDIrsB9nsmKsvHz6chBKQAalyFaJXmrpBqvhlFxOBdW09VsdJshHoHQUIWkdBJJBYglBCS5FhYkmXcFQMTMeW7AidXcBeNNTsH8+wKGULsGQXwqW5WNuBwnPIxbEggi4Chc3eZpAYlTbbBSnrojN3LlmUi6cAABAASURBVEB8Mvdgq/83DLI6FARm+npR4IsLKpGZj/Utrai5MXRkiiJvnxSGnHUb2QNqRDjFuxBsAqfn9NDwat9tltBaRFh74/VQzsaDcHrFrwtzzqK3L96E4sQyOwe/yganB59sCJyZ+iY3SLv8ojVVu8XvWrtHWqWUlMlIHDwLF7S9p1w1q1JCTdouIz1r7U5q3D16pIqAxzrpeOtIEGpQsfcx86+Do7iGeaQWLyJ+v2G2xVc0+pJxcF47ZHClMCaSM7sL20KUVtpXh292vTOf9tC73u0Hvuu04w/wkT2EQVoT/O66QiMInB3pW6951i/d/0fv+2PfedK+ubFPP/ngve90y4fe64d+/h7f/7M/9X0/c7fbPfh/3e5BP3nbB93lNg/6Sfptf+aut//5u//AQ+99h0fe/06//OC7PO0X7/acR93j1x9z7xPGZdR+hQzikIpDoWKOnPlYn1UFxBtBeuSYQMXKKTHXGtil4tlx6OXeMrQIEGqLwBAmKGxKZTZt6ljWCMLaCCu6aUBbJd4xjqCJHIXoEEUkiOkq6FsLFYhGPn5lB65kKtSEqtx2BLOWsDBhEzxi1NYX93D6dMiVzlWsyn0JbXnUti0ELOWhECzhpFwM9oug1agQS2jJ3GYRlKyUuijYSU0INmeGiCvYy8ps3LddsUMIRbTqTeGewtAj4Uv4AFW8CGBjSJIFxXVJWJYQYzhbrZeZJz37ePCgc+1jWBkUF8Ag25FoBLE4BNEQYIUn5UkqgMVm8NO2LfNW2YZGM6OPccUmDtG7ADh8qauqrWcIMWOPOIuKIyfAytPE+qoGAXtmYBa8IoDhUjVzqNViF4JIkHQkSPQi51aJCELn6UJC+OpesnIA6xEKuZRmDxMm3dGDJiYB6ZhQENpEMbgvkYJjydgTZ3adQJX30aZhoh4RuYp3ucgQkAuMuwfIWZbZbc2ZYFPFewDOUeDGXEwg9AoSFaEIkV5YTQYW8bjoEAViOZhCQCAgusT7m7CGhKWXItweBmA5fKR0/AhRFJmBSIdfONPFSs3hJzMaHbDCZ+XAChobREGiI3A7ixpiOHZWVWQlDueggOSlU0FmmEgEE9ml+EI3gtEScTFiRdrrTluVhIY1WVzU37GUcGisQzxsQEx4c/kwxbNSK7nIQSpI4MQJihdsdNyQ6cVoCuvA0D1x0emW041ICJZSJptZ5MjifLoRkA5CgAXGhUG+6FK7SEJbIpsq0QCYu3s9a1Erl080jETIxUOR8DRTOa3kIJTtCGJmlTuIWOk4U5FY7GXMLDBUkwcxC1sGiwIeCVC2yYRGqW3KP0CVFQOTpMji9egI5W6AWdsoMBljoSYaXxiEmnTUjTm4YAynyfworV/lS4Ns/OnaWi2KYtAN5LVahEBkiZk9o5gKbFFkGRSRJT0Dim0ZHjdHiIzwgjAKhC7noJLfphjYLAkWQxJw1bD2h56ELV1DRgFnEWwpMP4NDeYibDBJcLpTkSRAJnxMEwYhM9RyWbb2Wr/YiOocLxN5ReCYo2WVoLuUFymligbATP7MaiKBykbWimajyDRFkMqSTUewhJCH1JKWVSjGKlEMU94YLStW0id3mRa94TWJON6KKWmFIJ/jhDc2qhOLGuFhJY4cr0wMVRTccbKG+Z1ONDTJSegsGZYUB4mlhVKwTGVaggToJ9hxy7ITRBKno5JY14gNgCcHQ6EpDSVy7V1saMIamLW3IxoHBaS2oqpkflTGQEhFVzQAVRiY7bwSXRbKZCmQLi8CA2djSi85TZLDYOIxBJTZSXMtY+131RKtHGAJzEIb6mZmrMz6alC0GKwtU2WaaOyio8YXJ8tOIWKmC80yCFRDhI6kwBwSADY05kAsHVlCaqqHkU2TELRtOCIZW4m3zyMnHdQZJ+4784R9Z564/8wT9135BITNlRFO3HfGiTunH79z+gk7zGdk3nfG8ftOO34HufsG0xkn7DvlIH+WOVK7/EXrqOcuf8/ZpyOnH7fpaFvyXsB9xD/jxH2oOOJ++gn7uu9kPn6H4KceN047bpyy3/vm4Tp6WX5t45euo4eO2+iUA+NKB+k+5YBP3u+TD/ik/T5pn07aVyft1wn7deJ+nbR/gHffCqccHKcc3Jx8YJy03xvxNXSdgNxtq2itVZasgz58i+uf+aSfucOrnvvwR97nDrf4lmueccL+g64d0bWjy/s+6bihq51x0h2+9ybnPO5+L3vqg87+4Ztc5fjyPKSaZ5y8c787fdtjzr7N4+97uyfc73a/fP/b//L9b/fEB9z+iT/9fU98QPovP+D7Hne/2z3mPrf5pXve6ufv+l33+eGbfN9Nv/FrT5wHdOikHaXvExs8YUf7vet8n5riA7BK9NRcdiRU9w5QkcXWtNpCkbeQ5SgqVwRk/LFFcSbspimR5P6RbMaQh7iPhCzTkKUYmFgIiWqU9FISWLSeuLK4IgI7r68puZu6DVv5YYrOBltyFKFlm2WNBvCX00SjfubsugJ1jYtV4BY1l8zPwEwNEqtFCzyMKoplWG1OqWSM7FI+vCz+hT2BbKIdcw9fkvnpIqrcTswpOTDWBtdpYrBsQGViqEwL0EKnXrtLOqxBOqikMKGtNcmGE4KtczrZjEpiKwQoJGzMdMdJhR7X5SOabfHjboJYcutiRVASE70Xo8n80DkEsahDKg0DPVJAF5J5KxYCfSATGZetIJqNhyXTRGOxjJB+LHILXnCZY3R2B88OOJwWD3FgBqdYIOWfXIRAL1YB2OHVQDWBKprBECpYdopVQATB6ohGwEVhItLNEfdShSgNyRKDYhRauZvMT4lWJqDR0stWVgvBtrBJWcxcRmUYWWkWEpPAh0zhpI8AgGblp2Upug1Rls0QshlszWUbFMgZJgxHuRY5u5CUVyVLmAphCeLdQuyEbqUhtMtWW0sMl0vYo+DprSjOx7YSqaGI2KvQVGjq3QmpaUVEp4H0EhKg0dNxabEQBAG6nCxKAzQrexwSgW1mjeyKOGigokWy1dbInBX20IAIAkXFj6Cw8IKkBMVAXnPPIrsbjOFce7FJkJ6RqUHYUEsNq0QzY9s5hiUNCZgOhYeh9qm8CSkGVGkJ+ReVDlYdjMRaVhY51ggNNY2A6QkNyGL8KvtwwrNFigAuLd8ShFS+mzjG2PXwVoPuWAtBRfDizEBQzZcuEOG7S+wROcMyfWSmUETnHVUUwuAbqXsRS/oqAEg2unoUWXiMRO6ASQ5S62yoigK6p0oESiIA9ZCjqiy+7MSX9OCxlhyumgwLAZ19Jmz0XViozBbkKokCkEuG7KjUR8dc+AJiKYBRog2hooHzTyLMRLNBp0lNoNgZfLAbq6nEWvensJqprWYWvmW8C20y3ClcYHRJfaQYhIGubGGaJhmYLhq7oIsiSnPYwC5omNhB+7lnVSp1UUh0hFAlQ2MmSMWZLLaz3zx6QStnzmZk59ixOo1synANFlhslbm7rBUJP3ZKBHpnqjZh3fZSwRRBCzu9SKiuCsf0mjxrrl/z5I6MM6Y4Inni5mRKiAAMHnPm7bBlybZcxBGryvYWs/AeG9FMUDgOC7IxEKo3HgdbhhUr51kWgGIVZNGsJeBnGn89kCgPjjqOADUWR7S9RNtzAKE36A7FBEA+cslC4DSYAQniMSKIjZfsRZZ6ddkRmMoyDUMLVLIXhLTc5eIwKZhZkiXeBrcfnda0k0hiVjc2ntVFnLCjCBYrUOJIFi0XY+sVMoi2qoRgw8IjsrrhC6TOCWB0XuyakFEzG3sRPWsOA3hVLaxTaZgmrNUBTMspFXL6nGNy3bCLCKsw12wz4NBGtmrpSGjmRNwNQSPX3Ucve+wDf/x9r33WB/78nA+9/rnn/fk5573huR964zkffsM5573+ucznv+nc7s/78Juff/5bnv/ht77o/Lf+5ofe/JsffNOLP/Dm3/zAm1/0/je+8PWvfPI3XuUkz8Mq/q3yqOvodb7h1Jc/++ff9/rnvf8Nz//AG57//tc//31//rwPvP4FH3zjCz745heel/6C89/8vI+86Xnnv/HcdLK88Tnnv+ncD7/xnA+/8dwPvuG5H3zTuT9225vq6KVE0zw6di+7z51v+f4/f84HX3fOB19/7ofeeO6H3nDuB1//G+e94TfOe+MLur/ww2968XlvfPGH34jwovPe9MLz3vT8D7+JLM8/Jrz/Tc//3pte2zwIiePgaHgs5izWmSjNw5g46E0d+dpT/D03OOMx97nt6174sH983XPf+YfP+NMXPuplT3/wC55433Mff68XPPHs337Gg9740ke/73XPet+f/dpvP/W+9/7Bb73B1x138r4jGx0dSpxN7R43jp60OXLK5ugpO0eutHP01P27V+wgJ+8cOXEcPkGXHaxLd+Ylm91Lx+6hM0/Qu1/zzA+97lkfet2zP/S6Z73j95949TOPt3ZN1BLPva8LUk6cey7nvaYkS3Pw1IuLxOWf6C6m8F3CaqHTQ/DGLhsve2AUsy0RgFMirgtHQxIvNR7uRO4Tsuw4aPLaa0EJKFKkT2GNwBCtSjZUxNDmsBchQIbxgET8moabPjG4mMo8pCAihiXAzAzREkllGlvodypljzb1E9IxQYuXBMvOjBGB3dGzYavnJhMHL2JKgUWb9hKrS5lRXMTkCmGOsRQ2IGcFyUMlc8KJpm7TNi4tC7NpQ7YG8xAtT1YzkDLhsE7K7sIkOZ2kto+FuqI1sFfTWgguRZZ1rC2TgI6BOTStxplMjiPKIHFWUVYtoRDFHeFJFTRA6mG2Y+CibHmrZuJzi2IB3j1W8+UCxyROA29dYSOQUX0FmlpufBSyvWdFkEDUzX2SEV3MTvw6Zj0m4DSNXVqzJBtfJtG2IBeInhDsC19cYnH208ziJKCnd7qvEjgkGy9IuOckK6rdM492RBimSYguCiib7yA8Ary4D5wJEdqq8sRIBylO1VCqrL3jW4+jIJRFYTwXaHIaLuthBcdIx52upmZDgS63IpECjB4aS9LJ8BFEQK22tUpY6Io1LAArBRBKND6eMFFFNbOAenfhstNidSy4YIOXc1i+XlvDQyuvpSVIIogHQI2OoNW2VdWiObeCs6o2mpNpgWkhzOk2cYQLipJ68p0NjE55zE4TKWWRd1kVJhPIxFcxoc6yUG0Ot+NVYSowIHlqNctUl/rQeykujkx4HDQsBeWtrTogZMUK2IAs8qNFcB8e23OCxJJYNUiG4gSALVNFy3GrTEalY6x+x4BdnamTY7Uar9TDU00nbR5R3CCQVEoNmYp3PqtW5E4HGQZVqQelJ0Wqm+3EE64IZmbvwpe9QA4omnNHiOIETU4RwK3FqmgIy1pI9MohsrowUw8qQt57AbW2ltkCVku4tOJoVE4tFtbqTNVBqApBFCMYSouVPZVC1bKysQi4jGFmsq+bt4EpWqyqaT6NcAEkk9i4CCJXNNS1I28LiMZom2i1XlYtEYGVDpm50gTISn73jnSFBh6Hya/gAAAQAElEQVSNcy4eyuiY2QHxVYPCRCHbvI4htGaJmoOoOAB8nSYOZKCzgqeL+8GuAabFe6DVuysAIlNaSjKqQdrE6piMMBh7oNZpmAUTcWZnDKX1aBEqAihfbeDCA1SyrKADM5vgBhDQbsNKUZyCxQ44lKIiZUQ10YLDRtUusmrLFKdUWwW8XQk3rHg5VlukXjEQuqIKGFi05MGxpSpOSUGILOjIaP1eQZyiRq3WN0owgDnHBLDIq7Tq7OJRcPjUI0FEExsoFS4BHQGIDkJfDNSwmxZZwKVsoJavhgkbPmCWjoOMC4Y+22gScbDTlZacWTO2MqfRGnWRpfchTN5zibFHp8gmsTYghRREtEFpLNxYu305NHR6DKsYoCWoFA6+0RMwx0VeELxjox4cC3803ndMZAB0OMyQh+LNl2LxdCiP17CLla6BFzIEhP4YyAHW8eOyU3cuPn3fhadtLjx9Z/WLrrRz0WkBLzl93yWn7bv0tP30Q2ccOHL6gUOn7b8kfR+Er5y2c+EZ+yBfvG9eNviLVu32JnZ36tApO5ddef/FZ+y/+Mr7Lj7zAP2SK++76Iydi8/Yd/FpOxedvnPRaZuLTt0wX3zauPjUcdHpm4tPTwEXnbG56MqbS07bXHJwXuLd/Lls1BzzyAmmgENXPnDxmfsuOnPnIuar7LuQ+cwd5ouvvB/kwjOZD1yCHNqBS8+MfOmVmQ9cfMb+S8/Yf2i/LhNFctjFIXFsVZqcKw+Z2TKQxO/tdK713NTh43TZifWVqxy45Fu/dt/tvuUqP/E917nH7W949g/c5B63u+Gdvuva333dM651qq7kC4+vSw7Uoc3g16HhzaY2w90kmbhJQC460V3i/ZFHMIvstWvtckW5diGaVvt06Kon+6yT51kn7Z51Up15An9PO2pCVZ5rTejsgSjicUqpe5jZEm9uPHXu+3Bopbze1exwR9lKV3HBOARkQaIys3mAvQuG5u3ZlLd5YEqyxC7g4bGUIICOZoRkKqw4SuU0Zqw4Sdzdwqo09pKFsQjqTGUAdkTxEYRnECm7IyBCTWpNHuQtUiWv9/O8fohs+5g1AqMjs7XqPJgdhBUbp8pDoDJUOkgxVsdFVCG2w2l13iL6cDdhigd8IgxrwgtW/NuoBYxCYCpkBzIADEl8V+MSABOfO6cUzi+UaAk3OGYc0+ESMiASOZnp7SjYyCJ+xGLjK7hIVJozQYV3VfzXVJQAm76EWIZNAYWpOB0UyVNxdKmD5C5hBjKNU6CTlwLx4oGgEsjouHUvqmJ4ReZKxLeSc5ndi2ZXteS9uclL6eQRjwmESWlKpE4BoAjZUcCw8xjEVlrGutaezZwEKy9aC+yCrmP118BC6ebF0oQhnOg1RMIILNUmAMURD6VtQWoZ8EZOQLGXeejKSbJrqcsjghOZYKZRqhUuQu+yZe21RGYQAtZg0JctVXXAIF0jx+H2Zl+x5ojwJVG09jIltgBohIz2RaCDbHuDBNQSQDtSVqIfi0JdhXIMyg4Ms2rwCiv254StTPj2komCuLoLgY+6ZBEMid7Fs2rPV9lafEkmXlmd9/9tbRdru0dW7fmmvj408lSZlmjc+BLyxjilFq7BiowVqN3jhksHxYHnjFHOo0TmDRaLaNn4dJqwWWnFVBGzK1VXoQQETwgJvggQIitvC8xRqicUGBFbmkhO8DKL3VOY5tA1HZKwQ6sJxl5iFY1SmSU4k8lQlAFewrsoAgBVIoKiCgE+242VgdUA8OiFVdAwCzCJUl8NgaBZOREUYaZgoEgccU4RESABSzRcmNMLdjoyVOLTSxM1KD6lCF1AC5k8RhYpNZUzpxYEvNsXr60vS+wYJJxizWkAV+M4FcbWmZZKOq3GWUWAosq7eVui9dsoVh51COB9VsTECkiszORCZ+NNWtY1lwpCYFeqoji2Ahlhj4HVnUgB8+ZibiAcwgq1qo+KpYgmiQjMKgJkXRcs0ip+KtHaSrWOISMnH4U4FkeLbjFlRMBNIqVFS6YiTw8yzfI0zBTARsp8QHZVcHGqLIzCjyWdSFnUVmdRHPcIex6AOLEnNioaTOZj1llJqg4idgOX3KVuvXGbTMBYEZFj6qsXcMssttKRXaUW2JPX5sO3A3Zthc43FDIKJvFiCpO8gOGJIBKKJKzxUHYQRcAA0NoHETbz1GpEQQt7G2QvgMMgnQigNAwiTA5NEVRNEc18N2ChEyThqp2ilBCZtAYBADyEsHepONO2MiWnKGZ7LN76AlE19tYrVkj0WamBKisVFddIhdb8cKkgsqpnHIrHWlHz3RGQ59DPRs2Wcofi5IkLHRhQRI9XLIWsRBAtZypnI1Xme0tVwKmcFVJo7MHhl6CJiZQAUCjUxKcSg5tJ2FocUSSqcUNMLj7+pVjwyGcUvymN2jV9zrHL7za7KYEqdnc5oci1W3NXu0c8j3j3sOdRHz0yjh727qExj6r4LYubZYrufdSoo5s6sin+wjNH7W60u/HceNfid4bpyXfQXfAxM28KZCJvJq/E3SH6tKeL2rIZE7d2zR+4tn03LpW/oY3tvJsUmmP1JnvuuhJ2TH5rmlHnHFWE5TyYCc3WPDk5Cs7siTU62eGIky4l5jyymYc389Kd3Uv37V7S/dJ989DOPEIKtpzOyKMYkkXokd9rbJc9x/DY2PwGNhDl4c1GGBC8QRXNeGnFQCOpNR0S87SLWzNBYJmyZFqeIFw6xszFhFWzNNkPFADFhZUIQpZgpTNQM4s2KQcVayPsQq0a71JNYclALk3KyWXHCIbCDDsQ3m7N2lqpplKMNJNaYYURgftXLQuTkTIgb8FtZHDMzJapszeilsHoHJPkxCqenzpvNHXbBsm5FDkbS5wWiuoimCm+LOm1LSBlRe8RLGMFzDxRoXZCKIHUU8rdftwWoeGwNHk3IdGbNqh17zhGokDxUFB1Y2exA0fFLRsAoQdgT4Ycj1U8Mdi425ZExhqlSI8NEZcCZJFMbyHlEhnWlGnCt5iEGyMiozh8CScOjc0VkMR+JcBhXqxCiB3LioIOlmrJEyjWBZJv+ZKrXYUXXcmpNLjYgDyND0JsjkkV3zIKxTgvD8SppvXRitZCIdTiy5a3KgvduLCoKI+1uZBZ6UlBAeAdSPEt2RYHLqw2zwcg1wCdHeEbIV45HiuElIlfQIzVzoKJrRoMTRK7EIWAKUMSBlKwNC16BCIbmQjQUGDnhDGh0NWNHZlGtkAj1woiJtKq8igJog4CgUhiR71E2J4LW4KSyCoCVlygwRBtHUt1lkSFXVgBWJTt4EkBIovUvgBKc/j/P1t/uxhXjiRpg2YIMoKUan/stPiR/b9Typr7v7rNgO1jjqCyet+FcHDczc3NHTgngpSyegaEeaID8u0891nKmH11qQoNoBm1hBjk4jABcEvrDVprcXvsy2Q9PubqLiCVwK+UvMXkloYKcuIriqgxUwp25yhH6qHJj5OsL0YPAb5FQZubGuEM2rK6CYHwqQxOJx7zvAaJK6HRxJoc7iUQYU5GEa1uY4qMG9Ze3DoJ4DWhnmafdpuqggt24aLWYXqiRHwuwySiiEo0ju8T0dy7zF4ICyjGKMhN+mrdFiROxXYLZCKNHsxEc99NhqBeoliThCFGuFQbg0mGOoZKNhsQUZ+BsvHkWdt8zSEkbUAdYbH5uPMq2jjqYnqjkdq0YFXZ+hooj+kDZWjQfUZjnDolGj9RrKAkPR6WyWnFDNk0D1Cbm3GZrWJEOsklaC7iKgGTXBA3LiOsGVSxfcze2sl40AV3FdS8BkWiB1nFzaMoSYwItjqI4GAt4m0Vkwm3sNGCIa2RKKTZmmuytPlwgnV/Z+dRlkcBm6aPUYlVbfJgsJKB0dyKEgJgBcAf27MCaBoeA4hcZgVFMdN6I71IGFjqLZPFZuod2n8qp/B8gQlTOimSXBmdpetEOYtuZPNCSSqlIdEO10zCy9CmIAj+Tlvgy+RRl9NoLU/+11LQIaFcsZiFi7g7NMNstbk4xMAnowsuILFx8nAlDE9dy0yiwZh4NH1Ps5wA3pk+sITBUho36fjsDoTd2MTRPjD7ZNZu9HCpYrMxeA30HaEV0HqaKqwej0C12LhKAI88A7PdefipN5cBzu8PAsRxc0djmJaY6mCH3PAeyrJxSiVTwq6ESKvPb6tWCQCd5c1dj/SSZKA8VskdWmba4tYPxBqT/a+LmE9PWatG14dhw7a0ubrJ9C9I6v+qgi6wOZWY94cZiSl6KFcUkcRbXwVNXYu/eyzLq/jyGeGBLdIaFT+OXELG2JzfWttMtzcvVqbodtX25Ympp66+PIv/mlQ125R4FJC1OXkrzBp987EtRjg82IFC+7w0ChRxwZDIbRRN84sKE48pm2lTxIu/Mnkt7l19EU1akqXlmRpQsr0K+ITdXWFaBndHT5g2cKMOW2JyseZ0JAgnikW3xybGUeMaMjJf5ByI8DFEB+SlLOuxcuMYFq4hMgH0z7D6bZIBWJk9SFzPkIMqJJAp92XiVwg+FiA9YS/6pASpdFR+uzUM9oUSj4A5LmCG8B8GAqS1JNxqqCXESEHuGrQpdYTRBKLjom0Dkl3fZwGqUSL30Ak3QStCD4cNrg66f5hzeyRDe+SNqE47Nh40ohgahs35BXXrWEIRSLNZ8kBVHzb98usgcYKnCyLkyTZq0lkjuKpj8nufSx3uQro4+GMDTCm8qnAje1Yiv5FJAahgG5BKoRJPsLaNAQQiCaNEH+Yjt91rBM92gFs4kOAz06AYER73x42PpQ2SQpLd/KZisI2BWdCncwwbshgxZAClSA18cF4yIjVImOk6Zkg1h6ozMohb7wCPtbxHbik5MDRakv8jSiDA3ABLc45Rm4jm6+YLJMTk9IjWkDBINxASzEkBdO0uFONWxMYorNhjnvVLRAiNzQnCZxJnDtt85qVmWbbP33Ls4ZepM0DA1FsfDJLFR3hwPNQlFqbgYZNPDQx14AHDDqCNUVQqn3JBjMlfhiCybXxRiqc2fulctZtyrg0yJJ2xR5UFWmc1hHGioZR6RV+DgpE7xE0zMutZTgRkj+/pNV/USG2A5sfATlgGhDkPV43+B3gYgP9ESzGduB9zHGZ/GHJTv1WpwiGQUUNfBUw4VOK94wnWA2jUfbGIJBjIkkhk0qBjdpqoINUuIRi9uNUdOTYrsRgiYDHLOiMFm8FVjIYXd586j7UcMvswTSbUcAP1oJKNePQYPO3aYMQJiBtkqYhdr/aJ0AB7iIpiTzTI1udGHnKNAkoizuRG3OofzSAVqn+TAK02LEYziGLp7IjEAFZZk0ILEyWgXiG11XEqAzQM7Mc9E2XVMboZkVTk96OkxET1HyO8CkKPAGrSmNNEJQpxLVBuyiJeXJIZfC6A+WyHG5Aki3Ju2dqShk6XbA60RERAbTG69GpFkJIfR0cQvtgD7wA3jCGKTrlQEBdaaNfCqfhEm+gCBAqirHRB3+qOa5goX1PgOeIpPNTMNwAAEABJREFUor5v/Z1LDADWSNSxYEIUuVShTRNjulG2RwDkImFw2a5hIgm2gktuTLCL7Jpi8LuvCI1slyXbstRmCnBtCHMUxd3lPA4/OqEOSifAB9st0UulcpmB3dXIGUhh/0szMiuIQsTjsTIxWRcwcljWKgOL00iOVsv1Gk8deLwKiq3OQ7RWHZfGj1iLTUmzWoBcTMD5JgFvCXbDHpnVg4ZySaOcAMCjjXXyidoGgjMT57cHfhmHNE+UpCpj1++RijJmANE963BtLUGh620MjjsbkAaoTYvmRuPihlfarnbgQlP5cIHEoKS+ttZESugx+Ac6eAmuYe80G0sI0UKWa1BpgYQ7oGwvLvVa/LVB6+L1JF/sB91rgmJQ4Z7c2wNt8tNB9/biGVhClMA9u47QJ8IG6OYxae48IOo7/HQvYcHkbty1tBYGK9PLsjR/1ZGXLheti3zhr1tZF9Il3IWRtbQkL9uilsWdHVOmJS38aG60Bm13E1IhOiYjNK1I2xDCeg7SkhDR8szl9Sxf5Cf1L3sX1koIkiJvD19szQenB9kmmaXW4F4mo6fFVVO4FAUfGq69RITJDbAZwOEy71nflI19tpEOvHO2J4EVpKtPEh7GcbAldCrP9pg0YGoYE10TlI8hycwIdctMac2U+SMyoiIlWQh1mhCw4Is7N0uuBmsnHq4Z5M5LbtEA0xYKnExvPBCehAXIJrttA4uFOTRcWgAB6HHwXYdVpipL2AS5lY0MPWDhByYbwTcemDPVU5JS0DJDjxssi7//y+48rrmpdbm3ZzY7bu8cIGjdZohw66GMy24wivHPFhQXZrUAQx6KnH+BBVkMaGiCEIJvBjeVz5PZiAdbyLB3aGqUzRWYK5ZQIP0RnRu5sZf6UnVBNmhhIiDBsTxTjL4f3CIQ7o8bCXWmYA189y7i0QwbUdvqlMF26JkUcFYaLQjemezNIWBmPqmInCgGYKeF0lJXdYQQdUEkI4hrLjF4DViZNdh+4xLp8DgRxwwt1a0lhmmoJx/XMStTxxPMykh9GYohgUPXtkW0V41pqtRgBUli7LchhSY5/ONiq6MgEb7y6gm63DbEeDChiJppTLNYZogRm1VduEgcPyoCgEEfkoDjtiPWmTQQIHVYss1XqqTaYgTEYqG224kBhSBbIBdrbPEvbxiyzAvFsyvLJcCorT7WnsY4lExAYJhjIqcwnvqocI2OZDH8tWLY5sM7gGy1n1YVzfRuCVTqC4YtCUaXuaylGWaMbblnJWgUbtTYZpHt+tAibNNX6FTmTyToZxn7eANabYatBTofyE5SuME8Ux4SC764aQb/Bhcti4+/+GGLcWQj96hYKRA2ZJAdzmHSaDNmIe5YwJfqi2EtAuESqY1Cwuw0P80uNvVmm6YqqVQEaQ1CUg0xQlTkrkhaQp9KMqL44sNgwEyBBWg4/V+LiGGiemiiTt7ZJCuuEOHXjjnYyPu0weq1CYmVriwh26gpNDR0zBdjfyewhH4JGDJdLHktFCDzCwInZd/FKE7I4F4hyfOQZAurme1BpQUPkM2EREpBYXIAF7crR5ZwDXOPoMpfXdE7ieZN5PvMwRUk/uazkG8qZIASyDDInkBatwezJSiBI0bPIRJgBi3t9E5Q6SIzWJibEE8DphAw0eC6hhBcS3xa+RVKFq3hYvQ0eEkpQVQ5UbFxzn+13GxWsSA/pjZeOS4sNcuhRKiiGQTgZOy1gF0dzViSJ05tGryguk7UTQj/BCOenyfrIvMntikDjKNlE6sIUrGWbPWCbHyhFoU33TQHUllhchqsWOexY+DCYQ2ftZSXxBwTC4EdFvqHSQrpG2lHy7pYay3J22CUE28WThliOF3cNFnGwJcnh3p1or0jY5rqEinQnGC68GrQ6qO4pGHNcMygHPcD8J5vICbSjxKizYl2cUQ+mnRYS+zFcgu0Xgjq0oBBkS2/xeOCCrK0tXEWl2WGZjj0TFwmKs1jMnfef5IkucFZy+SsZOpuDBIJo7RFrtXcqKPM9lWbj2yjPlGf/65I+w+mODoz6BEQgwdINaLY5NfgRi/4ds1Z0SzNNsVNQTN4rnQhGjN6pZDOXD0cDoB0pkhcXBobb0EhOjcC5r0YRS3T/aX/USu8jTJ/eOis1Ao3RMhjT1EfMk2GTs6kA1jo0B+BGpPCl0kEDad9bkiyxThLeqOVLQt8ZMiXWSrihUWXTQgEXKa1zJBpeF0WJFi2BpeWsJimTddOWA2ijseZO4SzKElUcUPcwjaxeTw0jpRJMzEIXzcDgUDkvVAdkOgxvNz/dSIe+qhjbLOgbbjnyyLt1gwa8MXuQ+h+4eHEbF8sEGpV25SjI+eiiQgngWCzX5lKgeeOenZfg1lLIExbnLQjpPpdbbrnADsdLxvAHaOqWguzfMFv1jAALzSjdsayPQbtSDxG3nBAJpqWpSx5SRzGMqfqR25Bk7TQD3RknG0Kuh4Xsz+gC0ltL+gYrtfCJTwTBIyG+oJxKjZVLXTBxCALhL8SwyQIQlOipXAoK2aE/QmSVRyr70gjnKGpZdmgpkSyy8HluHm9iWBLFCO8eiPARiUSl2Y4JmsEHQHaVQ4MI0DXUm0aYtIeEuaSRUmx2Ba4j+mYv3vYBkOZVTUlQ982XYhBQbrFYG6yuc10SlxdXCCNpRulkyKmdqghKAIogWazBNPIAlJ3cVNpUAis0mB0Eu1NhdZYLGMkZO1mEeQFMGPzQ4yalg2NXEgYuPVpHf6yLG2nAa6mftmATNrLojl7DlGyzSUgSaa6vVhF2rLFK8kl3H7/Q0VyR0wyAizBMh8Q2ml7XP0yMyNxEzUCEn3Z3Dh4ujVPAeIo3GHSmy2muhIkObgmg2vCuJqENugAy2dIOJ0oHwoITcmAmJMVNQrAwYKbLQqzN3J2328OBTiCxIWnGd3UFg9AhMIvq02/eCjCRtk8EfQdXM+v/ZMJXxqwp4BRTzMsUimxeF6prebW4DiwdcYBsVvEDJEmL9JF2zhNprSoIxBTpZDRtviTvXjsaoM9OBE3z9W+dAsm1pQKkobCzNODpW1blTI2IU6MVU3hWHbb87wP0oOhvbEUCjVaOKm8OkiyTANOXcGTilBGIoe7GdoSb6KtuHH1vV2BkH/U+OfEVSJod0Nv1GGTXRdZndhoLEmcgBGTM0eePhK5O7mIYatfiRHNJpL5w7qHhhGY1A7/aE+4rRRYLGLDTOcY3KF76RS0pM0lnYAkcshXlhraVRa0zsCik/aoSCnGFzNci7RuxSqHS+4fqzRytIjWky6VlzsabR1LCxxX6IozqCaMlihUhCgbYTYXOZSX95rwcbstklxOo5KFj0jiPjAt0e/qp4+0iMiejZbJRXGmaTXapDKdqCoLVCy+WJIZnLfNCwVhDeApgmgNK1lQTQg+a04qz3EwahvEiz8JSheuiGqGT+4Oe8CWqauLGDQOk6NebUskcCdZF58jV7dHbiIQLpIwF0ryFrXVKFUkL2+kLMmoYvNgtmVA+MaCh7I6goY7ND++4QTSInWZva6LQ2ZawVp0S/tAtG51WawzS76Lt9wStsygMGKqG2ACrKYk2qbESKMQSf2qkzkJY4tCqhGbexbnYew6cgcr0oa7tJFTFrPaoVxtEV8l1ODgVA043N3s/pZAbVGcXBA30ZRGQd2bUCAq80ci3EOLLA7Cy27LsSXx4yS+bCzUS5jvI0LMguJFn0SbLwzJ68I50pS1yFWWH3XZqSvAZavDE41AppjRwNZUq1o3QXQDevOgMj14wV704UgicLGXRtJrIQKYxVKI5hcxr60FFDaOK1Mbd2vxGhg9QbZZeKFxa3ERBSJRBt+8/Zy/O8SuLhbTJhjyL+VxdyupMBc2pVa0TGk+gVjCWpAdzqQGAG4CU1AUPDhkMFGalTsER/KEZT0+OzbijjkK6Wg0Q4yt0F3/75naqWyLHTBJWWShZIakxX/GoS6vEg7Fk93Vc0OFxggk2lwEw8/lgO8ky5UjLNOGSDEOl80bvHqKtqi1BNGWJS5aMyjZFwKTuUS7kszHxLzH/JxCnXfBdoDFhuiLzjYAiGBJiGkGWtw57nbVMN5RlHo8KMFtgKMXMuwgIC1HKyLOpow45zhdsoSuFMhgfA2wf81FvmTDEIPzd7JNh5wvKRa9gdITpulXMcSukLA31wCIg4YfhripZukbvQC0Mj672scdFVAmqtXnTVDvHO8k7EMh6qqxg9hEwhZWDbFgW3avhiSylmjNuBy3xS7EsDEoj08ONrr0i0E/4cwEzOTvCKWAE72we7RlexEDRIEV39uW6QVtYfbWIyW62GJ4+nRs3D4X26qsWe5NW0LPl/Dpc4eoZp4niovcedNXUyCHAe6mUAJlST4uaezW3YPH8KWdSvLFjMWXBjehn5KWyPOSuCzJ0OjJx0anhvie0t5drYassCmXjh8qXEAWGrK4ZeFKUOHUdvrJBJE3xcQ5uWFo50hJEplaq/DCLhkEKT4zkGSSwOMlE3ToJ5yY1UdHS+wJC7x1e3E45KDAio8ryFKlLshUHqRTiAajNHQWHOiUMDwUyAuPYzVVa+WCZd6SiLG0iONiW4REH5ElLywvadWTrYtt7qGlhXwkM6sNjVsLgHAOwuPNkRd/+LkDm85K9ipkyvtCDAfUT0s8BT5flFzGlq2l5eZygHhzSB48sjhALTFycQ3eDb7XOG46k9qJjNhIyVIv05WW68FqFAUL/WV1WGaI/eGZXK9tbUFbWUs0rEu487Zj28qJysMRXVVqxRcRpY11ERa1fO4+A4wjkMreNrFB+LBrCbCIdSFPllGTGdISmlgETPQi2lA7Ex9iOLG1MC3O88Ixd7qvsWQRhGD0FzjNF5RF26yNoq/4Au6CCziRuAlWr0bdChgrCkolcD4lchue4yV6QCQmDfc8Sp5xX4YpsQWHqnZdGReuOdVlV8GmAi7oQsa6WMUV3IsaBV7ooC/esLCMJjxZnYjyaUAExx366skmQzNWv9vtDaevLbtwGjYbxGCKwkiRQlWbetHaS+4+pWVpSfM2NHoIHCWNYhsa4fDeDE22+HNySdOKdkBUGGPJM8ArskSBAsve7IUHaqtZuP4KXkBmIzJ/dMYyd9tiiqfFA7BwWCS02ReC0tIDNIgsyXxX9JnqMWx52azuOQ9HXa0ZVmMiHUtoc1HtGJmHILVWWBUxQoZkI2jumoE7P1fqmGzeMCA4zJAxZJPFe9+ua1EUJu8HHWK7YfctWUTJYWKsdbEtMfvpiznH9lFDDPBOi0oCbJbqEav83MwLUAdl/AWtewIkKYBuFsoicYWWZBOlKx0D5VLwNhRxJ6UrHhMQh4NOL0yr5WoYEeOJZS9qcMfuCsqturZ6YtMJ/MbtNkDdtdXoVqPD57FwTHXJBe/Kc7fFdnjBel+AuELEfcNDZVqalQrba9v0w4xpmkLM+RCt5qc6K9KuwWYtBq+GsWsJHKF+OixL4EFzFNy1yEhp2VZWOYCqbb1HaQoAABAASURBVMGHxipvWah5CdfjUqgHYvFnXpn4kR4I/YVkpQjtDdWtkS695EqZZGqLYcnxrJWVCBmEdwkTAx1JzdrG4AJcKu2s8mjmsRK1bC61c1O15FHALi0krlBXAExrLcug0iKXlU9GhFmcm31x3Uus/hmam0G5pjj0uWKCK/LufeGmTAzOBRoSK+uSxW/SDqetPtktzfcMWUiCN6pKYZuoVh/f7nZQALxoHtAWZQzUj5+DwcwBvdTSwbXFxGBKEcNcnZkmkkH33Brqr7o7JH1xhBNU7AnLqmEtOvE27TleYtIkexVjRXwLy5gHsXb/ANfnSnaDEhBX2+gFxmRPZpBPFFhsR9qI2KTFcKzDMIa2fDYAXyZKAyAIKxAmvTDh0FgGhFaO2gkBJahQIyKJi3inVYVaZEWPtwLbvOPDdfdOOs5QbZNekHsTf18ElmQXX7FCRaj0dCdfbY2zlwiJGNTa5mBlNeuxWrLqS3OzGF0ct640jiRTxnUkKksECi0tc56sJAA64pOBzYQyq0Uim6QF2qTZumoIl8M6YVZwWaUR5Q51AaSIWTf9c+9TXeYDQIfuoHrhnqhNgs1qL5u7xBL+mQaKhMP0DIyZxKVuRKYc+5Qx6E0GWVTnclNDWQwxuNkuSf3gy7banswfOmQt0jdqYzChmVEt9m5jKKy2kLEsBk1yP1ORzRn0jk49XptinDxdTa6xy5lcd0g9a49GTGJ5JJN7yrkpbNMxz84yBl8pg9DUuAXpaoErnimYi0XocVy2dNniVbPMh1fbo2DTAG/B5tuXqhJLWMkKoRVyOR+jZJgiqw8KHJcVftrnsphkSe5qudPRPpaWmHx2bMuweDq99ykQMiLbcrdDEFnTBtaWBN6vHT6xgKavjJTcgJvSr1e1bRKXaFIPsjgNAtw8t4ouFIQCoLxFPpcjS7a7DYG5birFy8bRjctrzFcYmkNgCyOls9oLhccEIrdJ1kiZ6Nn+sQCJiGssUVdS7ZghhnuxIDtRzEepr1v5kM6OcB6JQGwn5ffC7Ta9lpx2LqgYhkRXA4LwqNivJPehGIIYI2AwbHFztHqvueRGjIjtwaMZhWtwVBIlG5OoQOdkdVIrgpcoc5KmIiBUtCCreY+oKEGfMrht4S7zZ9VfMrbbGGcOzZa4eHFFA3UoTbzT1CJK6TRmQaSBsW2L8oS9JLUZc1c0LOGUgRdhdCIizdOBBVAzJSAIh70tWdUSvbn2vAXCIigRNnZntWhxC5GmKz0BmDYC0RnrrsvdfIYv93X5//hy17oXudz9VEOXv33Z4HWf737azP4Kct1ee13q6gJzsxKaeV8PWqPk1r3ski9/r8t9Pd1PbpGnrOsG9IOAvallcESGXBqFLiERKcgHETol7FWy1vPJ3ReMp4qsZ1KI3nXc8ncLPQH+7YJNIcr0U3dxQF2CoSJ3+HraujAzK8b208wLanGP6A7NT9FTjbY3BBrz8+F01WruItREeqA9CjGxITBRq2t0OO3LF94NbrM+bzEv9ykHvwYHcnkI3lXj3gZO7tOmHNNPlCZ6R7nu2kWeTq1dtSYC3olq3d0Sd4xK0Qn9PG2vRs3h8PTLh7ZdgypI3at5uTcF8GnIZDEvdz3cu5/JGjIc5hMh3L1o5nkbMhORroBF1uV+eT4ckBp+4llk8UrQzGVjeIyz4q6Cm59hrjGnerljd1/ruOjcoQ24i9PJghOv3fkQ3IT0O5eumJe9nraeGmp03eWxn7bYUWfM+rTp0+Typf/UZ81GijxTGpcoWXt117jMzWehOwV53pTw0309HTKCM3GpfrmvtjdR3KcNbT3jVnM9dRW5zz0lw3y6i34uW0/t8KwcjhaEuy5iv7gwB4mftky5tgfoNXZLxwswgMJ9wpaq34r+p43w2rMvOpkJf68LM153DgFwyPe6iIzUA7/c/RRd6Grrea+nPmW3RLqurXUvkxN4uvuy19qImA4Xoc66l7tALhuCL3c/bT1tVmxyvbYRJIrBvGzBYcLpevdl07/RX5tdaN3dL65tyHDAu/7tp7+NDucMctl+ip/u/EMyBpv15d7ewJ/3l9rdTdxdn+9q7thPe4HDZH266+neJi93tq8Bdbl73V17VtpYvHLU6jTfP2twGoCJ+7T1tHMh2lU17lkFwf20/Yz436x+urf0FPXlrvZ/z+Xv1P5bT3+TFf5b5bojwnxshCw4TxAg30vg34Z93/ynUW913mNmxFPgH/ghX+7oMzW22Mu629vrLibuY95BTKsUvezS2NRTdIme4kv8hL21MnPb5Wv4XvceuCNvgbPyM25RYqtSd1Y/3V17mzNfd1LEQcG5oH8vyOEcwjpZs65dpu/Ipntkazv85G0b2DHpE1WZWeBPG+WpmK7Ft2n+GKytQujelMv2ZYstL1bmXZc7OImIeG1XPIPEi9md4nq24wsP8c7T1PM9/Bfmp/TxXe7gvmyTTsqFrK3LJktO8bFNaJG+/bz9tPvePhGNsJ/2oXmB31l1YQ2GL4/QQvZh82igac0Hdl2w96rCfeyQIt7My50eTNtf+hNF7W50nu8NYZBOLvMYz3d+9OtCdJvoupf2hDJzVxCw8+/i629dWmXWduW6YyD4NIXYY+0BKXEpON3uroQuW0+d6zAhPG3DnBVBX8KHdNXFIBQ6ZC8uZ+yvDfo5i0m3PZnNIfuJunc/bz13rcjTXs+d7nqnNF/mfrrP+jea2F53tatw/otjfxqp57/Fjp63jvv091obfpl0iN2s4ALOvLfty67y8/2UFs9l3atJymV7TYmu8SUIMk3Pa7vRrbXXhZlFlE4ufejGfgJsV8gu+LT0vL1AyoSAyLpsdorhy3Zz93p6NE9jpo0n8N2Gn9JNQXsqh+O1777c1R39jY7XXiuVWtsYl67qun3ZAuzKFurCX1OOkB/G5PKzD/cpo0DFAVEDaSen893cEVyjuXiUEC7gFb885QIZhInahT6LVxO8CMqbVh87uky0+BiLlX1lGovrThsl0ADR/dhp1ca9hA1qRTXgYKBPaAwUvqYuHEV82V5hau11wcDVurDeDRMEu+vdrBz4hYalZ8ggm877d+bDcWiGh8VzXBekcDdZKEPzE2Sy1Cj2JXBm8hDZFMyZT3dXbWxEaucLCZ+C6gCOArae2FfUL66hLdb4aWZtdAZBCpCV2VwhxQl8Kber2oSYh4NBSleidHukfneLrPy09UytzabaSe27+x7exc/Wdfc8cewzJ/R3waesZ86Zn0PMle8fv6dqv+/vv+dnQ99wP/Y35tuE3jbIK2vnvcZ7vr3t72/79S2vP3bn+3592y9v+/VHCUWwz4QA7T0QXt/y8mNob/vb25352hUwrz8m8e0+uXfwl7f98g5tfyP3fTp5DyAiVH9920xC39/oJN/eoe3vH/fvHxj372+Ib/Z1cJivbymztPv3H5PSxNKG04rffuxvb7R3x3itAmCrYDMJdb7fv7H9HweHXw7463/t1/+ivTv2t/f761sJD+OLjAj4tyo3iv2YEH7cX3/k4ZKLy8pp/Nf923/tbz/utITxfQxoLz/oc780haJMBIMCyAu5P/brML9BmPnytr+9ZVwKbRT+mT9w0yiEnvD99e3+7Q3+fmWzGO8QAEHyjQME6Szn9QehvJJItz9291vyfuWIysy3hoIgnJe3/TrR7z/u37GZpP+o8iv2mYO8/GBrd8RffnRrL2/3bz/2t7fO17f7/2PSw/0bHCYn/+PLfiv++libhcjLW4r82K8/wvP69kaHm65If30bTkX2dwhvlBPkbzX2K8w2n1e2NnaP4gecvL7tx/xxf/1Ru+cwaq8cQs8wGC/QUHjfNd7ygvG+X9/uL2/75ceZ99f/ur8gwrv0Y1fzfRN9fbvX7np/PThrORxOXn7cX3jxftBGXt7u337cZy/7Bdk32mPe2fj32vdvEMZ4HRpbo7HXgvdXjm6McmpPIghbeLuX043UGCbRzQm8/tgz76/tZ0N7fWPtfCHrfR/ycPYLbzLRH+TeX3/QLcaZ99c3Gma9vyL4hjKtgpCOVJkvnNiPTDSvb0yYvEV3tvb6X2E7E9p1f2w+KceA+UIW/B/79cf9lZbeNisbhwDtkQXh9P8jLzDfKK0X1h+77o+gc2bBt30DP+uPsCk4TAiszOmnOiWXeX95u4N3RRP7a30d+/VNL/3chfNkAtLe69t+peEfG+P7+9881u9v7Hd/f5sv7bf9/X0/vu4+wpfemd8A3+7/eg/Rf73fv5V2Bxxj+BA+7t8hkPW5//WZ/xfzY/+rk0Q4+xGF8BESmd/7HDdnxWZnvXN6s81Ne68/cuwWqnJ1EPz+fj8dYtMM9rePTZ+v4N3LnTft+9tGvyJv+fa+2ebr/7m//p/d9f99f/k/zL8BX37cWZlzOPdv7/eTNUbd7+/37+/souv3bvD+r4/7v9jg2dex/0gRwM/7v/5g7/v75x3yv3CZKHwg9fe3N+b92zsz3z42hToxPu50Xvudp4m9+9mh5/d7aaxs6uP+7X1/f79//9yA/8L+CFv+1qItB/j9fb9+MO8Y3+F/lAx/Gga80yQphKrzzk7RvNf9qD0n0K7+9ba/v+U7B47xnlfm2+5JvreBb+/3Mn88Ul5/bOb39/2teNfZCAZSKXPwGojQ4Q/wTnqo5tt++TGCb6wb2oD5BhOkueBMQsz7y9t+pRYrUSa5PzYVJ6uEb+9/vx7kBx0SIvfO8/32NsYbCBPkb8DXtzs46TNrjw7GJgr4L87hbX//or3+CPzXH3vmoeXYr28Y/Wy+vu2Xt9310N6Q6nylgf+6v/6AkxcIP+6H8/Kj5Neuszt03h4Kr3DAz/oG7f7KlwnGQQih+ba//zj6G8Gjg/HtbdMqs3ZP7M4n69sb/Yez/f7+eJQQmFVoaH+bLES+/eCr47iktNVvH/n23i+K4ezf65D364+0N9bz4Nrhffr/vXZTLz9gYgDWeH1jy0yQM7GZG9rLW0uwvv64n1ovKL/n9f1O/3TCa/Dydsd9zLcUf5vo2349830Dfm8KTGyiTIwSvvcND8xvEEhk8r5hM9/u31uuNKq/9qHcXyn3RjM1BiRa+3VqvbztM4/7+oPopreXH/vlx4NWQl2Q/YLm+57ofnkb8tvG7Y+AckjZrz+YGPTcFbVv7zy4zSN7GO/shVYhgIdPN/i3DxBcQm2g5LfT9qa3b+zu/ZxGdV7fDrmEht7GODuF+bZR+/Yx6xuaJFLrwXmBVk57q03/IG+t8vK2i/zAbvT1B+vDBn8pTm/lYIO8wh/wG8wfxUGYD533/fJOeucLzbdKe3jF+PEwzjaLvIF0a9/m+/Y7Lk120v/BZwuj0y0TgvMxW3v7DwJgj3f3SN/RZBLFxeh2Jhd3ZsnpQcEc5devXFr69tbOMeaB1n4BgUA5VuZ5e9+nQ9aPfOPl/Kz7/W0zeyxv99cf/EWLuW7vP28fzD9v739e31l/vrz/uj0m7q/riX6N/GxsAAAQAElEQVT8efv4+fLx8/b+88r68T/Xw6n96/bx8/ZR/Ppx+HVvH+C/mvLxDzhuoyPSlKEVeXlH/8+jf/0gd8CPrrcP1iJT9M/rx5/Xd5j/cwV//3l9//NL5M/rx5+39z+fP/7nxnz/n1tDyJL+5/PYV1I+oP3EoArz9oH95/OAt4+ft88/bx9nkvXz5ZMtwAch9JhnF1UYzdvHX7fPX7fP8msc96Oytw/Ayf34dXv/+fKOFDjzGIRmvrMO8/3P6/vPMj9Azvx5+/j58sH650vBn9fPP18+f17fiRa/fpDyPzfW/5h13/9s6IPEzuvno/mCtX+BMF8O4fNE2cWfN+yPX7dOwNZ6+eIcowqDXMtBh05mfs76/rM49ju5R60N3P5pD/H/uUL4+Hl7n/lxWp30D9afNx4f0Q+kusfb+wFxEfyf2yfGz+v7z+cPmDTJRBObtVK395+djYL8pJ/Oz5ECpDTz48/rH7+eP/+kk+vnUaAK2ym/z/GTXObPHsXYpaGMwgecwRH5wPh5eyf3r+sHT4czbBT79lHj9vG/VnpuMx/9UGDfPht9nhWRl4/p//Pn7eMnH8MX1o8yUYN8pdsP9Gd+dDvgZ94+fj59/rz+0Y1cP39hXD9rs5Hr57+vf/zFvH3+df3kXf3rVhEMdLpeP/9946X9+HUl8ZMtg88E+cAdnQ/awJ5Zzk8q3j6G9snrN27FIXRH17ORrv2ctpmPn2yTrOvHIZd5+8Dmmf68fv55ex/7o+6NhwXSKGDn9QNZDoc2cDH+vL7/efsgkUkbbIo+2SC7+Hn7o4/1Rp9/dIM3pHoaVeZkaINJ9Frw18tnJ/ogTMDHOXxSiyYRR3OMD5Ap+vEnD/E26bcP+oFDA6yc5G/mIB+zfhKiOivd/mziH7UpV7vRL9oHJQixsl8mamyBWfDWLL6R/nrpUZPC/HX749+32Sbgyx89AWSvf/x6YX7+enmn4q+Xz191P7re/vhF9MYJ/zc6NPPrRgOQmZ8g/379o/PbH3+9/vHXy3//++W//+/LH8x/v/w37l8vf8xa/N8vn7j/fv389cI2sT8w/n17/7+3j3+/fNB5xV8QZxL6/PXyyfzrBSb9/8Gm/rr99y8OHOSGLCCvYtdfN1I+IVfn+gEHMmq883+9sN9PPmv/vn3O9lk//31l/eh6/fz3DeODHv7vFeNzDuRjmqHJx5xH9oHIX88llEMbnR+cPGSUR/8TzUczRG+ff91O9c851Y+/XhBpqygwm3sF4ZUAZK0aUoTO+m/KVeQDnb9qfJ4qjdb9aPPHaPMcUR/Wv69//F/qXrE//3395NjJ+nX749ftk4rocOz9sr3ifv66/fFzmL8apc+Pn9M5TPbFG/VvOryxkQ/c5l4fxrFpdfAPDgejB0UnfPkwbx+ko8MHmYZr3N5/PvOCfRR/qtEUBJk3ZN9xeXY/J7f2y2/wDRdxnumvl/dfLx8I9gPy8gGfOfjHcNjCzBtbo23O5LPR589fyL589Gf0lVelZHToiqxZ4X+g2X3dPklhEmpREm8fGP0UXz85H/g/b+8/bx8/zzoEov2w3z7YHfPPZ75wmB8/bx+PecMl6/3P6zvMP2+1f96wmQ/On7ePM39e339dITzcP68fnSd6feeHO4SfPbc/2iTI9YPGft4+AB+dg9w+iP6e7H1CbJ9J6PO4rCRCOz9nf00iCJ2Mzcl0ot+X5PZBiYZGnAdBImtfAPq5vveFuXLyn7wb4ER/3d5pnqzO2wfKPLLO2wfvJ+AvpCh6/cTuvH2wArJW4dpW4ePS6sHbSfmkfNLkRD+rfKRuH2X2xeZ8mCg8JrugsUn/mESYH4AoDDgiKKNz+0CQBpA6BN5kDNogEYOUn9d3bIx2dfsYkE19fJ3Gx7+fW+Vnd/eBGgZHcea47z+r8P7zxvz4ef3gYL+inxgIAv66vU8PH7+e36t8+/h5++jH5JlD/uPRwJW6n3xB4ZZz/SSRnf51/YNDpsN/j8FXAcivOZm/yvnsrm/ofBJi/nX9g4/AXzzBK6E/MPpAn9kRbmmIn9lCz+8/2//Hzz4jOB+0+us2RvH3cnBv4AVJnBKf7ROQrCuaROmW+QH/13UK3VjrsnEeAU1yGij/uv6BXaS5rdujuH3QQI1rDapUB/2XT5h8SZKIgRSchsgleub1HeU/nz8Op9HnD54CIuC/bu8/r8yP4vCx2fLtHQJSE3qHNnZL/7yydiPz4D5/Pr+jfKJH4a/b+y90bjzH939zRLePv24fP1/eh/P558sfP/mLFnPJN/kaXbVuqv3CmrFdl/8Edo2fOy/X4g1doxt2FgjzcEi/hpT1ogc+IT8EAz5ROPFV6xakLjdV/IbgHiSXW+e6luBbmOCsl5c8XVNl9G9ET585XXl60K0gVeAjzr7IbcpNFEIB+z/ArO5rF7mKPjkEbN+2nzfpTblNxRvp0JhZN0ItWuaVNoImp4FLiq9GpP/B8ZpHG1e2hh0f8ovB1w23zBrYt6zKVplTQofpguk5XB/rQXwzrVatB8t+6UFPr2m3L+oeb+FMcCv1EgwS4Z8O9UIVJg3E7PSKwhg31qgbD0xdw8RAZAxhc8hjZ9FD+YDqfumksuEo+vjQvPK4t/mPs/Nc2s8BqchOr+0T5rpxsO1/HtxeV2YoBL5u8Y2QF/wa2J1kXV76IHzLahvC4PzXFX7IZb+ruUQzCpuV7evKyY/+iV5DCttZIw4HEb/Orm/xdXc+s7tU7XoMQEKd67YfpwH5FnKp62dKxFdc8eBobN3CijhV6IEQOPPCCTBvWi8QtGYjkBHpfAEhxGz1dWOPfT8xOq9CBzX4KMMH9AtMqrdDcCYEjh0CvbFNd0fxtRP3AdLeVdiQXQLKTERYw/l4+OscOAd4zWLj1/8VNR8iXoBbutNnXiFRdN3KROFy65lj0CQb99WsuEbkwYFPbjcrToONXGf7N17dQK7sQ0Tn3BBn150c1DVfyrSdylZhL6RuuPGzzi583m2kwG+iyRMi3dftKzrwhULbu7nH8qLLrSBtdL7QkvlErKvJgkYntAdnXdtzW7pmPYs+IbDyCOoOMlHNui+3TUoJt4OE76KSr+l6oxnwXG6BM1I5NuVM7i3t/5qSn5Mrx87cfmIj4lPM1nTFjruyqQjOda+64PJz1rVR2sBm17pC64TpK2pMNVocJjYprF/zVoMGIPP6sS/OnAMh5ekp7bbHRV1eMI4rhHw7qzDokAbWbfvGkYKrOhwjE+UbCiDSEz23UJu8pYV4G583DT/4N9GwnnO5lsk3CQfe/5HPZZNyucZX91GejTeRWvPtdFXP9qr1bA6/zfCq3Ez/JKJJLidvCLdJma6ebnvhXr++wTDA2WkNcwhokt71JrYJUpHzNnY1ILXoE+PyIqIVxHjJuvJisJLIpuQnscdpPmhiG81r6Jb91r0KkXVljzMb1bru9gx46+FD6M+L36Fbd315Lp89rms5awpRorU4yVv6dJ6RCu1NUWEw9SJ2VOSWde3BzhZMqOAVML6ZBlr3qjlDnq8ut82ZjDtSV1F6sd7CRtbzrntTE6+z3mgsvonDoc++nIOIZ8SsbV3t2yYdwrpicGjBXYBwrtgbBZDOm87uSKHu5ZbVif7mpWrdWwDb4RWQHeFisGZdA/nyit0+OYHLbYOYlB4IeJ4wXkL65YYdOI3emggTEGS9+AKnPytFYxzdBRvklssL7yQvVSvSDOcJAmch2+j2lXmifN5ro89E3Fd2ytynzzkN3JLnIylfux2iCKq7o6uexuKgbuFbd93acDucA6f6UQZnPt3aWxGafBBS8MpjfSSyF06VEus5ZV7FSjmk2Dsinddd+5msftsTAiyC/hWdqfJC20xEtL5xLHvddmVvYz/TOSHeDVGOB7duRSD0EG7q+Z/NgvNFcZ3oLZ4fzdDg856zckp0eHqgzy+7bbM1jmKQ6eoaPi8gh3xB/4VmNAj64vPV7U/nX0a/ChadP2vRSafokAZ83Ud53XZ7qPjm+8rX+FrOvOEZZvwEGJhG54oRjNKeHci85ODPagruTTxcX3X0oS2iyN769HEfkz6v4vSYdEsP7I6t0QDPApt9dUK7US6l3dgsT7wrKRwyv4qzUogPBSvfZus2Z3Xrk73cNm8vH7dLwT4+yBBm8pKj2X1dvqlIm4GzfWXyDgTQ1xJYaU9XC84NfAic2yXuN/mm9HpV93VzVxSew3fjuhFSjWeiSAkmIucXvIXU9dA4MUqLPXIC58xZ+dDBh8aLMetmvVwr4hsfYfu215U1vrFrkcs7wNrcG8pE2cjgZL3wFy3mkqzYWgqWznB6j9J7F0sr0OpLGCLF0uTO/3LdscwQ4S3VkYNEFy8Sk3j4BBtyMeyCYpgLRrh3hjAho06AGW0bEB04wI0iNGTscNW2oFnTMFwyBUvn/97WsBKLUSmMZrl2RHdcdA+5hk1FcuEzDzHc2CL5zUXKwYjK11Yz6gRfkbTdFYMZM+I56lh1NCRDcgPzOOTMJFeBfOZFor8hsPdNCrgjlbajMiFYNJ+LN0duCVpXDFFxY4sWF/bMGrLayVfu5qCmCmgWZEqYi9n0EaSBRpuy3TVBVoaP1ShvixZ/3P/zhlCLoGBy2dzLXxQmFHoHkQ1tJka2Jd4/ApxX3yENjRPWRmA6hAzJMyI1w2bjOUhz4aOmNJbwHpKoQM3SPJpGtxixtcUa6op2TSiyiXZHjYIAEBQBXjBSgjK3RsG2G7Gs31GPHMrD1D4HsrrBqDFWopiy6SqsqJCmudUN7YhriU44h+EElODmejQgkcIGm+esVG3BAqZzDnFWOL1by6E+SxUUKjbxfxnhxIhSdUrEnAaJidmIqmQekmgJG5CKtDmygCvL207bpowgcCzbJxdWDbRV8XDOVv9sYxOdXFPFQgTO2RqrJFetucvIUkJaX6D2WpuiTBK/Vi1TesgWuAWSAy5EHJgcmtVcZzihGSpzmBhUfXDKdBChJk1Y7EscJhdpRGsorCRbsfSfc5G2OFqyyCaaZV7zDHnPGrIuAs8SI+0QnZiiRgtbqr3ggwaMejyJRNhM8arh6NFX7yaW8Xej7iqewuB29+jQWNWoSw/uW6QqJtQtiNEpBgSBtph4EZDGBGQ7Ml5wVUZkQSyI4kDLc84rhklpwG6Kz0I2+upWWDiX5fgRJcCsFEhsaiksRhmdPq7jmxPb8aYtcaHAFGL1gnbvjaYGEhsMIakgcrVpdcIGBJKsUIU754BjzRM0Znjo0EuYlLXpqLiEMbXxhLzhNJ0mxEblbZsA0pLTqWCV5q0OqOcnGYaGIPW4ASdzPFK5N5WrRK5pFqZIQpPmaSI4BCbzob8iBEG42xsDDRqwY6AeTXABRRQEGRHCCgFCTUGDg1J3MxeSEESIKadqcOpUkax+3IqrIZTRZJosJhlVwHJ4JyUSzQKw/fAemqQTkFiCrKQ+DtJ8IoBVs9R3iUKEIDFpH/v8qBqbR9PnGJFZixFyHAAAEABJREFUm6izLGTdxCooWwuEeQ5BDYkqfFEEm/Mk7p6GLDWd3CnHlkQs4AEQHUKo1YjBrPPyEBJXdHSOCNuwbALglGpRMBUxHygMovwCcEDamw81NGdJNEZ7zCXb4fNgeQqTGyyLlSzQgEOChhFhgjOFi/qS4GN4YwSQXI4dA5BC6hg1C5GZ3TpfS43MRQp3SxYffFJh8W6gZgVoG61GxXBIJ1QTfaaQ3+SKyyxhj+2QZGbaMvwQ6pEKNVxRg0hbNaGIMLlohfPxan8VoRuR4hZdMKMO05anKXzSMcdIZawNx1y8SwgaQQkDtwT2WIJSUGSMJ/N601SlaKyvXxkjrorZDanDLCbajWJWiI54FmzHgki3iDZXIfowxmKhn0FRoNXHF22aFrIhRL2HniPPmNIRN0CClnoaRMcnD9OWOWIWSfNCKGZLbZUQGLtiFQMtWQKwvOK12QzI/FRsGiEbgpFQRbgnDykMm/0OAxJqwV4hSyV71iUTVF9+7mMrbdjlFbJ50EAAuIqlheFwblMkSOB1XUTjTQoetlwE23RlsjCBIypsyw6f1nkiVAuyBKrOrYrcYFMHQ57FDGkWmT9CiylbEhdTiPdGc0VwmWhDY6qHAqAqTzy0cVI8vsoay+XxEInWUsGwsClCzEE04/QbTgWLNYSDObmZVdokW63Xp7pLm2pGwlqWCNaRZSZyvQtzkjCkZhBEU/hYUwXbXAESdc2BKlq9LfCm4xOdyLj6Z0waz6jipUPtBrgxH2SXvlDg3mD4dm+DuI8OvvZj0RWUNBzilUVI/jImQgBg8JaAiABnxAPneHAhPCZiWLAx/iNg0/NocWfyvUFJkiF3572hTx4dpmSQ3tsJgXAnWHCuZobTw5loaIi4aQ8BrPLDm7thFAQyF+dcfq2msMv0GkaXSUMLklMWvXJzaBK1jEYdGxjtQEABi08TK9MiBi5CTdTYmYgA3UUdxhOBErhRo1K1GuVqQELOLtd8JDBAyLIkt+fD73bmgB+uZozTBaWJDjpLUWTGloUU/R6vB8shfO2IXPVSpkP2lPYJHWLrkvUFwhgERjmkEOyKAJLStkEwZ9bGZRJnlfiemTvLQK7BJb592mSvYop97gjJ/FFrgjGl0B3rTLLLGTsEePkM1neoX6e0zlvCVqoBLjzebOjFuqGCX1dPkUJwmID4FcP633MqVgDyl7Cw6YsQBnQ3zh2AlYIEqewTRbkG24GG1RUCbXcVGynYxLSVdgEX366NQe9dzzUgSU1sBYpu3E6gDDeAtDE3EBLH5Nf6ZozLb7jcZ5KqqvISTtf8+Glzlhte0rItjcEKnfnb+LIDx7K5JIvBboLR2bK1xUNxWohexyAK1R5yez0/lc4vvlIRJDO0Lg50LiYGk52dcvp9O7v3HIX1NYxvsRyxsnEBJECehdj4+q0r9bhoAKPc2O6jqzukWYjbsl2YqzLczgweAYvjnJ4OLHypmZPI6aoIbHypPuypdWrwVPCagSXu7JmJY1nM1ikgYuiiNmLBAAlw5+aMB6nDg/jCRwKMHM9AMRjcQImydpquuLvViE0ADJ8iBJi1zQ5oDfJMQVUfL9WDPX8TOaB+n0u+FII4NtpjcZ/J0lSqdZvoioFgN4vV2UTiJg8qAXJqE0O9mnOGoB6/fGISPT9A8JinLD1AstTxKIhZphDKGAUwJLMVpnWGRxwPRWIDUpWpcYmMLalU5EsUdwBm1VUSDUS8lmJY5YIwR3/uBNSAxEoeUw34rMHGwiOF9T/sYQIx9XXRwsySDdqdFhCGbbKjTRDDHBSbYIZouYBTro/o2KxM4uc7kIrYCmRm2tosaPDCgEOmBmTCTHBrflZuikFvtiERm4TJLg7IbDj8TaLhslD8YkxUfIXZRE2UHRGvgQC3f+Z+AI99NICMbdmeGBuZVxePqfY5DZ6TqXKTBK2JUkn5ghfuENsugvP7LjWZsCGzMvUYMGr1UCQbKSbx3+LH0BnQQpDSh9W2aFXFhlGBnsM4ktu8JJuPaEmx8fDPjNW+AJlweRrqKLV3QYPTycmUw03BMJEWwsasYzWL9norzWTzHPmxlx6OA4NDedxUCimOLASTAYDrzU2y1AuOSBOjNJVKitRlDQlIGv9E2cwxTkBSaWLYIW28HBAXfMr3MAkxcQ/+VXEo1oCzn9qV4hgGhMDPl5DYXUOExZaB2fWsiiUgWoBFmFUEyeHWKZDtcoCx2UZbEonBZk4pXGEzI/GRQFO1ivN7E9jMDcZ/mBgbk7cHZPbDDz+anADNeIohAqlF0XJMHxilkcJr0ldlxGGZi+pMStLhCPCkBSIPaxEhCyJFEcKYKDJk91tvP36vawnBZtvkGotcRMD7TwVUt9SgKEMxj5QYUe3QM7vADje4zizCowP2wdRsr1R59+/RRgwXAqsA1bFrQCBKNTqgXW1Pu9IWoOVGa1ei7aEQEouTG4S4NohOSnWKzMGQUAK53CBgMB+5En2eIuwdg8mWETBSaDBV7oro4kzFSpVwJeHwLeT0VYk2bltWB1JsxWoumrwG3sIw6ZXAJoQzaJobIVRXwJ39/2oIfifiPNy0YpV75zoirP3uW82Gyy8GbVuhHd5YCUn6IJdDiTQTHi3RT/8akaDJv9KYjnZtSFbHEcIlQnuqVvPZMDdW1IKlCGoL1oPJJ4AUgXKBlUoYmLYmolNBDOJMmmFCkth4wI36VNwc5RiD3MVR0jECrAmVVSYpEQgTkHw8AcwULH5XPwG6QSkETyJtEaY6Lqq4+qcc0pwg/5IPvzvDd6MSVqfkPj71TMs5UZ9QKLxJa9Th4wCMS7kptHlanLjdEjSwMEyOGNAeKztyrD20UNcgCiuPVAeHTS4gs9Ky2CbkuQXyphCCoowiwnXAMw6r2l6jQrm0YqkBv7MN5JSjVnugbbG1kuCRi6X4YVgzkCmsyHAb7B0v7cgk1iZUVxuW5uUUj90RedobpQgCD4f7gIT0sEPHwQbC3FFnU6ZJXGwKya2OPbO2dyv0Clqt2Fuv8TMHjJuQbtpIS7R8KDkym6wafI20WpBlihZK5dqqgKBV022iCIcETunQlSwGZKBj46qHAeYgyN7tvVyNdjUHsc2/qkYDxieRu1DkZjTYYCUD4gD0msq0KwEQRZ1VhCLWKneb2DDDRlScCz5bpJMC5Do1uB5iu53oOCikrnd1uHKu+SSFk2xavGeGVTCTPo9+F4GQQMFOyiTh24ya+Kbu6X3BIYIIxt4shJjhOgzoTALkA2JszagURjbbFhGpR2RZjC3TSCjUs8Fm2/SrED00SC1SH01pFMTA8KGBz3Qqyiq5+00PwthpFvjsgiA4e9SMEe+Cxw6Daf5Ojwlrc0lmpT0E2EMEqPAHP5GqrY7+/4Rm0xITEEqjjSAAH+vLIAaD2e0qabeEQ6lQDLJDlKPhECD3dx44CrWjO6tosMnZ5hFHvDykQKUEhkMnKDxoMPmvCo68xUMHZRecBjhlAXGTRr9Ko3SmBjGdUYJZmlKp8IvqEVBQUdxVdIwQ5yUEigRxzQWBtoZABvdOElALbJHUe2kRIFOiTVQitSiOqVNPbaZ7pyMI7i5C1igkHMuK6Y/JflndSFhJ7EpSUKcolsLSiyYQmXjGJ6szoKqgatA4AFw4O9MKlsWoSy+4TPyZ1WvU1E+w2o/UDwXZQahteBMZee0SNmzS2QVTvsOhFXkHtHOrtJCOFB94qcg2a//fPy0OgVsCxGYFj8th6aVphugggFsR6S2j9iksOICdoSjVq4m5+aFKCk12IgVGtEYQ6evBflBmis4kEsdmI40Iaou1RvEUKNaOhUP1TnKzSyiWvsm7FioqMzZRZjNooEyOaLecsiU9QBkqhRUqlpzQeWXc0iD92qdiwwchN6QlBDfk9OXZIMIALBkVaOKdYH8CkUog+qilAdFgQgsVeVjEh1sQhjiv3tRfdR9heZNalRpCnty7WGi4+YslmdcGYsJvFiwQ2WJTwp2uqzC0NNp8RJpqbcvizaB7FOjBbSKAjcFnnxUhQiCLhQ4VyLSRKQU5rUzMCofdBELgZsRumb5am4bMkwo9hz0obJCZhTexSBCAlBnGjak2Gli1kcPqIXEjU2iHugndhmMSMkp7xnGdipJaYYIjHaStRqukO72EGAA6uaeqNMyPu7/hiw8rN0KwRV22gdqmL4q6yRFRFhKZ4fNaQnsP531sBGmQfklsAyIRcmdED7zdY1OKRE0bAUkuNIYhaEj9XlOF0E9CtGp0fhe26HCM03m/K6nbvQTZgjuAdE/WQ3wHfbrlMJtOF8wRBIQmqtR1bchnj/c+6a8QpdPcncOhWTTF7a4OFBTjsoW2XX72XUTnTGASTcfGEGKaAM03VwVFtRg3GESlCoLwKqMrskDYRVKR2d2mRJGjw0oeW4Ae5XTLY6rbFNI3UWQ7i1B3aLs67XYM+LojKxBtZ2u3eOhth5T+vBWfAE1oc9oOHxZcO+JBwG+76MTZJtkUblHcRjSn5KqZVfz8f0yhL345oNjONCDMkIsaIl0lznbHeyrzvNvYUXZLb5oYIwdUJe6VIcpDZ3UhosGmijkrWKAUwt7y5Gb6bLcqomzv7lTh401C1H4AxSiWyJiQOx9RoECmXZhuH2x2N9d7m3dvS2xty5RuOO2KlH3n6Yx9d0gnBnPWKERbiiI842NFlT2EPZDgMb1ZBthy5DudbO0NSoi66mtvkFNH23GQpq65Icsu2FoddMxGkXYMU3UCylWTYJaMBEtFJtWsdGZ7+Bs+wso2XdQhUIpw00OmqwSa0SNee8QoYXLuQ+yiXUkLbg8Qz3RSM+njFqfYTBIB+IGIoXMVpgtgNYcyM9O6SVfa9jRAO3R28igBL9VQz0kFtjkNhzM07ycviDkhUug1e8MonzAwWnXIRS+EmO0/tR2eReUlsjkSoXzs0kjnpwB1SMBGilUyXa7ImztFBEh7FcxWH98ufyuh4QxfogFDFDn+HaFam6cCcT7rnnRSUl2S+ELiRLJtcpndNlQY7r9OU6HTFVREFHfS4Mo+gQKmlYPVgwUXZZEEMBHubF+apF2IbqjUelnsFjtNM09fDHzW1iYFK3oEsElqICwjRfnJTeXZVTwwNE5YsusHQx2kkdjyR7nONNTGuXhnaUgcnzWM3vpAUCC/WnyhAtJuBmPtk0k4iP4KctIQ6GOS7lRAV2EHd4yNds8G/kYXhE4xSEAfm7e9bxqJ3rhsZnpWmTaI+HKelwQ7RdQlkfkTRLjYhtWSW3zrANAis80gKG0lhtoSclIw0IRhY4Ta4rUMgw3j0RfvP4bgg4pcbqksd4XPC/YO7QECRVVSvLdMqH5OiAAVau9QN+HnrLWlewhBJsRDwgDR3zRM0RZUeMTUEln4TdnsxOL8MNKMsDYON6J5jifaIGuTMvV4UImARLmJDVxSL0oTZhKdtYmPXFT3kBP+9ZRd9BgnRkTb3j3YPH4vwiWXSZC2OsspCRot7Ikb+70AABAASURBVIvi0KI0lVGrOn0V25QwO468pTtqEnyZEcxOsjVaFy1H/PHoBW+H8wtN7n4bNKZWW1nIGZxYc7OAyQw3fLEHEHQw8FdrpYumlFFx5BADIZuuajR6UojMrimgM0xAom54Hwr3bTQ+OFqsUqD2Ap5yRLkzK9yog2W46K9TvpJKoUUMAUxWtT32HyHrIenExSD90Fbj/0TpORldTljwDRMfVg2OlKhdJGBIs9JlDUC1NbYnxugnNt+noQHL6uSihKiZrZDec9cM/on6C9nkEYPBtuFDIoQhhV+tFDekAi3vVA9p9rMtMhEkmDEd1zDtpdHmzkNTEd6D3Td+n82nSvu3Mql0L6k0cyPEB0C8laKX4VE3x2BlUt5Z2vBgE1J2RUyGcON2odBMD0CjFeoy4dGsRT1kmbDCuTtBJIR3dAcXZHWkVHAEXNxEIuqIwH1QytGMWieLUCZKOBsVDhBNUkjATkCNcUhi9GEkFe9ligHCGB0C9Q7IppDFp0q5vWhdsWsqDWVSgI3LtIixsEF+aAGoA6A3yT4maRsH5QflwFJBghRm5ekPv73hDjscACxejqms7o7yEQt8wLNiqCPHJVcWZ0MhQptQI90E6lOFKJC4eNiQoTzWgInTJdc9FUHC5gaHjdMS9TGElux+TOg3IQyS3ae8G0eEX2GIETFpdx4qMmlt2FuAuVtwsTnECeLFgW6+RZUNKKNw5kQFOG7aK1JfgPl0TO5C4sHAFC9P6LRgSsevrMxHMuJPaJiSxBK6EpEhaLoHEyVD45BWDqoqNiQG8gmI2ipJvY1CUnOLH6/QHJLFCkXhvvlSAkNZpgQUIcHBq6N9Nh22gTtHTiHaNOHmvllFMB7WqSvG40wNncfMCjbNHzOmLgsJw9Q25hBEbyWdm7ORX6L5DYMUJ+038AAqW8RGgGqrd5nRSC8+vcMjFbdemZgz6x8DwTYB16JChArRUNk9DfGEQ1GODQGVx+Fwl6Axx9tQ2DCwJcv9HoKqdGHNSH390hHTFQXKVMEdVsPdYlfi4e0tbhJnQ3rfgNokRLR7Dg8zQgmO2wzFJPJko0XDksA2pGky6gmKo8UwT6LcOyRovI41wm7JDQg3uYZ6FhhgdHVXRfbw79SoeItSgRC0uITId6mtVtYYdxK9jhFCnSh7g19Y2aM5pbrGFpzQA7qeDtBJSOe+yQVU22O5B8MYnNsSUuJ3WcnpofaoLOHtrbVFbmVFTOfD2OhF1IigqGOVxiFSL3dNUQ4mhNxlhQ55UGQ6fGkwqYsswU1V6a7s1gq/ym9ZxIQ8VajLrjEQ4xCRR6UleH0yuQRAmSB3hGL2zS/NLdpYKBGFueuSG2qFHeEiTN2EpHuEQkDA05aEUq9E2QocFJhgU4c+Na62e4eys7tlBIPCoIhsItP2pEFNy3Bg0kKbKEAytGDCqEyItXluymaNiBAXp2saHZBuiaJMWyOZPXWJI0j1E53cx8b/yTWKu/zyhHTI5cbpk78kXKkrD6JxiR8ZIiuA9MoDa8oB6MccI/m204sO8NJfEkojl+4qTnqyY+ywKW5UiYDEg9uuIJmE7g3wJpr3QrbYe3LfsgSB+qYTlQ+201/M78gERPMTzag5JW/ew371uUyUIpHbVlNhGW14CFqMTBaLSgQQCO2otSu/xyqBurzVkws3/ecn7hJlh6OgWITnTSaN43OkGJAWURRCA+IlXNG8PNxaafQ3TLORe5OKRJvyofmjF6LeAlas8EeGXw4GnfEw1UF0QGwIyFLDezhAW1CR+QfBV9+OdkMgQhUsGzCUCYfGHaFOJOiEBHSGQWg01R1sAjTPTO6z/n4JMEa9AnS0yUePQpYZvHa1S4k8ync0sCW2u2kq6qAeRpq7y54O+XQASpTERyhtJ8SZdfFbUH1x/slFhEdJhpFizrsNiAznjiGeU1VOLiUmVxxxRDj0SUhzkdQoAUITpDaIcQWTHcMrxm3RCGmiY/KEsjff9sn03Y0nW5s8LhFLQ1ubinwbtwEARHhIREUYfVbmvVFBDIb6slFQ5zKfrLSitSMq7tbeOQ2gBAhUvxl9pxoi5QGJz1dkaIhPHvczi7pZc4WC4NgYPEIMdsRaFz3qQiHQFOCc4lhuz5SjiIbMKvFALP5Uk6BmQDFGbxUrm/0eE3CXXPCRQKAIUu21YBZ8WmFaxdlYBUmCDHQMwQ+CgSNDJjcFMQnRsNt+sPkKIodMm7vOqGowW13zoHCa25uWeGpYQbqPhbwDYBwSUjxofosKNFjckOwcRZBKjE1nzSF2qKxtmM5kNMiUkIPbBqcC3GbVbip33CFKzRMI+sQKmp0iMN7wWGDMWTd+tgf4mMTEnjm9qRvKdne73Or0wk4Pjjt02iSKPTnIzAYQAWoYNap3FW0BJjC4UwA1ttNw5g4aoj1WtzM9XsIGHyyyYAlWQXrjFi7e7jYgbKp2jnUqmIOJlgu3C1j0rG3tA5lCpI9ykQoqEwWeR06pQTjQ0mBVAgixAnOd146YD5oWPpnUFZuaJAhiI1xVS0U0g2g9NpP6jo3PFLlodgfcUOzuuA4ARLwoUpEb4Mnx3dCqESt75cYcr3dIY4dsDGaTycXiWDCmRU4tKJKBChP2mdhKo5nY2TBg3baC/iOayU9p9EtjQnlcOBlfM8xjYLOEEpjBFlTh1AZHKfacWmAoAByabBkqLNGCScw8PbzO6adGXy0IwwME6hogNoXHyauJIHizIkYZpj1pDW92xoahtPCh6RwxDlOa9uhJ9QLZ7hc0ZQqSWTFwmKw4wFAxiKH6Oy9Lu08yIpduzSEh1zg1aKpkVEg7yeJA4OFvTof2jzIiKLBBwsTEy8iPpJEhOyKIHhKY/S2it0Y1g5C42gzsx/TktH043FYpY5pPQunsGR1wvnXTRhtw04FpxNwmQWOw0AC7wwBWLA4N5ZmkgZcg7mWNLVhMSRwTG48cmx+pdKfWVIgRsDFIiThJhTaqobpkCqNXzOtlNHCG3DsChI1ImosbdkjEXExAJhRsgqzUSrsObi9KtQjm19xE+CnB2sk++3t1KDxfrhiiRMTjNKdn7mJQfyAC3kMWh2zKWbyVzQWWCEls1FqsYtB9wYyCgk3zEm6I1qiPW8/6AvGaMngQq8813OGw4LB2f0J2BUcI0n9vRKldMETpJkU5EM7Hde0eueO1qVvIUJALCsZOWRVMSOU0sNsgIX4lCFHBBDRhtISymkh0Ax1GsNoAUaZjs52CzeVlFJkkzpTkhtRRw3zs2Jj7CvApaGaLNQRE6dnPPCRDfSTD5EWsIhujeWZLQyeRPHzm1CjpH1CI87GhI95qZllBDbgkREQVTMWEuxJVmw4LO5p9P9pQ+9pUEDpMbb4HxhZGRoCKZEmR8CF1CnWlf3qaOC2S8qgO0ZiEG6gnSvcRqqP43EF4lo9zmKqtwe4pjmu8LXYKkkmaHZGiRrvAiPyoBYDd7y5+4W+r9aQ9HQZDpLUwN1xUAcbOKBAaWHx+sHdBjpVNlscx9AaDGDCfqQyGrX0wmhzD6e14WJXndoRceVMcQ31bqKPHOQnBfiqJ1uTzq4qgFq4pwl0cMTDt9ZzEGD533mqVKcc9N7IVE1DTCtamSD8pzRd2jtHNcZncFioY7DLECJfQcpq76/IxMQgB0w6FTcjtwaoSYA1EDmsMQFGUjaMWmzpBjOlAAORsxEgmefjqSjzg2FilkkwZxNy66gCiKx5Hc9uJzMPkJ1xTIKCzeUGIduKBOaQkKmIgJiguMAbRIkRbbDYOym67FjqZPAKLzRTFzp6Eenw5IAaLGmrfStPOigmm/9/xO5mGDnEYo9AijRPqbcIxJaAMgfsU6J1AMUPW1LY6gA8Fg2458ozA0ATIXpQyJ+lhAJ50ViZomaWRx2lZ3TVGtXpo40NjllGI7oMmiayc4sOAQZQIbdGNKQ6TVdDIVXFM7gPqYYuRczUH658AQPdOZgq6Xdkup9dYLMHpVd2543fWPuRaTUYN0yLpQbDEnEtfg/McEyql1c/oJnOrBYiQwMQYwu/cgwEfGs2T0NPhVpQL5cnpeTx6qEnEDG4QfrOPnrtzFGlAj1KViAlID8QPw/ZBeuuXT+86g6eDDDYcVvSYGDPhucYsNXpRhzJB8Qs+qcQqJtv9FpAeYTOi38PC/72bwiC9qYH/ve92Zj3IVs/uHMVIEFANY6QLPz8xmXUmd5BH8SXOzISYOoOI5WNTGVcQBuB+6o4ykYwBN/ODSnXLJCQuZt/6cAQh1Ahc5lj8ULHOn4HM+nvikM0sEmi9e+7tIrjHA6oj7vL56GcAbCZfgHUjq4MHjcFse92LG7BkLha6VAf3AjVhRSJRWP8JcurQZm+PCJ9iqOXNhW0Zc5bM2u9Uyy7KdcAvD4AZrjOj/xXhUbdmTvCc+NhlgZ6NTo5lmxioaJKHjEWcCdqHQjiCMvcHXL9sYUQdRDUOR8nLQAd4j093/cMS48GU+Vp8oKhPcU6HOT+hyIarEjKVahWBUDpxZCcu1dKMjA0hgiGNK3K4OssMLfIAlKGBcIfB8+E7VpqmB5rkshTExqjGXLAhjnkWwp0Saz/BnACcE1OEALOxquJ/eRKWdBZ9jRLbQ/43bhek5cKYpZFSoLLUAaSFYucGTE5RGgKGAkRn9gHBavTn8UMU5DGr2xIlaKJzbiqmjhLQIR7cXnxPYFG75SgjwniEmFSWCMDnHo66oGb81oQ9c9AuPP/8wyuCBjewryS3L6DO/+AaynDnwTbocbGsaWZcOsKJyha1Pej4/L54cifGh0pTskt/t4c900JADALYGjZubW4awYcylEe4UZP4H82rA78tiZBqD53FIHwiRycEBgLkXipcHOZUm3PXY20ibz2Zj+dz9PHV5F7CmfsIWAZgFsLkJGsB4LB2Wqh/CZ2+ZD1mdY+Drh4DoOHxkDtzPOAR+yfNMkPVh3dIjT42MEADdk36a1D1CjRyPoUtX4QQtzmESegikMZJ7aPF5OFIiDB7kzQUFsvmGmGVZkm9apOpjpEvUKrdcDvTyarPVceeWHPqcj2+TYIJela1wDFL/6oiBmgzoPc9dWueKkN8/JQ1+RBPFBsGEWR6iLxA9dGqZ/EK9VUfJQdPj8HRGDTkFcVm8gucq2hgEeUvG6Vn9tWXwXVZmLXmaqvwmbieBtoPxkDu8XnMiWsKdGkL+oq6ktCYVO6qDgwCPRS8VsKj35HDDDYBLPYRLC5SUJDbPIFwCS9cmEzB5RbuKojBiYOIALtsNUTAHrkQ1NrEoHQS48avMKzMab4HDk2nJTWXRDYpbq1DgEMRg0fScvUaA5kbC5F6jXIXaRSlGc0AhjMmn4N6VOY2peFiMok/MnKw+Re22rgEZw175eyhdxfTZZN8fq+gs/HEj3PJDOol/BB3zKd3pjos/hgLQUyMOlyruiDgpLCqDgHhTnEVtMyoJX0dEP9MMnZqUEodtNRnMK7Jn0myRM+SBrPaP5WNOKImxUToAWpmAAAQAElEQVQk1RSlDZONK7K7O0uCbRZcZ2yic2g2uCWC6kiruqNeA//cyazDZT5HogmySIBl9LAku7cEBRyFmPRorRHk6Vhj9plIIjepoLL3Ni8nf8UC4U1hjaAhihAmhigRzkpnZKQK4o/NYquqYmW6I20CGL7bldUBKhgKonPv4m6tcVAZI49yESKW9R/DA7K0z8FpkzkmuxUpIswueHRCjnR8QrC2pk8sddTBDpRzBgWH6WJYMA6mbFxsjgm6vGx1F0VhUYJJnOZFQFb/YgRJMBqCjokjImPVcDUMSh9i3ym10d7N0o0QZu5SuZ+bqNA5F5sOsHEQIKVTPGQ8S+J2kIReRS2UwYlhBCIOM3hlnztqOIXJaB6A1TpDswQ4grUEN8drpFeR7gGb6GOSIxKRRIUIJyAXtC2T0km3kPBYsY2uGNBI0jYr7GokbL4phCXA4URnkKvNkyunT47mSZhYinFNShGrf5tCKkAAkxuVoo7lyodVwp5LJoKoajStPpHUB7R4USLJHQQsRrxk2Zhsocax6xTjHhGlVl2sTi48kxvuUnMsi2HeHG7DNw2zCY0zBpZJYf/bhbEhm4vJLSoSVRCECcihscr8kR47RMU4x2XFNtXoSBaDQvNDMjq+pH8024qkEntNTdOQOnJ+TyZAbgHCpC4hz6mlDbDHBAaheaEJ9efHsVOl8CkGVUcwEoqiwYpVdKyIuuxlgCpjcDij2/4acg0uDuysdGNh9sKgKmuZEu8N9sTUFYdeZaQxK9ubMDwGS4QbYWF0YrGFYHIx2w+1z6NZJR4TgrT5UyMtI7NylVNQA/zjSXNoFJD0tXEgpiR6VERwiuHrDKIG58InzMpcKvWxcIsYFtvCYsWTJbJi/jW7CDYTTDOIKix8gKzzh1QNU7KmW6ttyXjiVNRPYrOaWGwCLByJ2VHIxnPPTGSFS2aIQWA0B8RSJPOnZi0uizEL+8MUqeOKlQnk7qkXhkQliVUz4rlxgMaiJ1rGKJsAsApQtqXFy6KUqCI6rNkg7VubEMkWz9b9YImRobLwfmNjzIQnpLBVejZhPrb1e+SEMcPboWysYuIeAkx0Z2JCgTYeBNvyb+cfg1SihGzaa0kuNVeAYiQYnh3isTUOQ0DwwqXHaAP45YHU4mLiQG5UokTzw3siQijLYsWWMB8Njmo31mucE6PwMMjgXjGC5DI1wyo4tVLrhEGJUtPGNM+ZIBZRbMmqxVID5Lcc0G6UFPVOz0PJOG28LqhmhJUfYgHsDFtFmLcPD4OVB7YhzWQTeRiYfUXYXrWWOROOsa5aiRdNYNiVLkUMPomCiKp6r0aN8TWjrx4lSAXkKMdggV5AqG3jwIFPIGb3LlS0hm1CnZTqTSHEZqJuhF+GGjeYiZ4YRovVKYhNEmBnAY6lty9Bch+RRy12YkaoMrHpEYrHM5ZoszfpHxFwnOaCkiskRJMREbmL2oftfzyzYw1cI5hMz2VfejfgAF36xCW7n2AON2AU1NfgNMTm/oHIjSGpIzW+rnmkLZyBxQqxGygDcDzPB0XzpC3+QMt5n6L+Wf2e5LMq+UQlfq6yMDcYP0nhWbIghJdqsvGEFBiVpN5Fr+qgB6n/W0sjcL7BOEUy5jHMwW+0iMoYocS0FMDRuMvoOKynGIYj24r7b2rkYQWS2FkPDVwQOnvo6sHokSPSsVl9aAp/JG9NXUdMoK5iJCxnkkR6uCTXUUew2Fj5QQQVy5QMF0ZxAbb5oZnRmnx4xVlnjuOQs3gNtMlmhuTqC77wK6KttudwY5bdKJWSBWkBchODvl3TEww0knjjyG1Vwju4KjoP2WUjQC4PtjihUrhJttTSbQ6AdFyAUFdpEJGlMcTA4AFFhcy2oEp8FVUQA6I7FJmwXHLIY2KzXmxyLae10hIbQibKxkOGuLJ55Dh9FRA3qZ1mn4gLihsl9bErMWwyuU8U2ihzUFD6jBppw7BqnugipbXoigxwt6TMoIDKl1jpgDlnzH1zPrHBaQ4bY8NaegxzR1ncZ6aNGtfdYx2K4TOFDBds2zTbEsIQ+kHXQYsz7qq+KZFNvEL0zsMecdKksNPy0kUmW6yL69SFaTG4B3JO5wAVgxaimwj5leZTuwiqMH5vIkodjpMptRExfAYRCIYLJsR6C1XcVlCFQJT1d1Ayo7uHUgbnyJ6ORDYv5j51QcYguTS5Rl9BMdh9HlERCQz64xUSLEPlfuawDrDLIn5mv6NED51iNDp/o6kRRMHogdQ11WRbfDVxshzSZfGIWhaxZRuyZLQMoBmAOIB0VqBONzs2kiVyVHUxRzbsjwNnH60cDiPUauJ5K/hiEoJaXUQWesZ23xMDtIFDrcOzmRtvOFwqFICGHxqgEjApp4iJEmxGWFoLKd4UNgIvrSHYXNAIhYQ9tAXGgQghdMtB7KRRFYOEajbC3WSi25UAKuIp9au7MbTqquUMztQMWlaEHsfCL1QcAnAQWaCChi3qLlNm2pj06jlQmY2qNiC2xibHQVY8fXAEcciHhyttjsskY3RFnA3VmihEOmHjdFWQWPENWHd6kzzRYKRSgS8pNt+OGESnLAheTm60VXJXk8r2FkJ3XidMgImeFOHmi1xnI8kM7QW/4aPs0mBSeHNSm72iU1ACg6uY33Lo8PQOV6SfZqrVfuC2SWLMJQa5sDpBurVEiB/yhpwe+PYChOGQw25qSoQ6Y1yRTNcClPr9NhhhPDpiNbUkFPppabSX2AwQVfEwpmezu3PWRNWAyN3UpkJkI9vulxkhBZ8vo8DYMASircUPMWFP/hg8AnxlAUldnN5qtTHNqBg0WmLymWbVRKmUrDHZ4HwSjiOjwGVXmWsLAYGkFve6u7kEHFdVdEqa1IUrHItUD6c3pVmS5jRqV2hAAxUQIyCPNtoVsI8bE+3FDbuWu/SkehK1ue9FnCx0plvKnrtURk+jd7oVAyG4E5EZwI/oxnxE4Xny+NtuIRiogzaVdi2LyXmKga3AxzzT/XLChMlZit34AolzE8O7BusihyorjXIga4eteHWtIWGjzJ2oIkBWto8YXxrISwOCbsw6i764VyTarueI9gwhTYFp9f8kZ5vHyI5SQ+LrRsQhQ0t2U1dhaIKGQGeV8Q6SlsDkXZItS6xdalVsYcj8kVgyLsq0RK0MWZy7RBSDvUmQqEvQ6rCG9lWXEIeG9qVBWeouOESFP/i9xRMdE9rkEF2JcU8btXCYabwRLoQhFrSm7tmhiyAXjsmu18UbmDn5VRFhLkHocWoGDpnqGSHdrRuCNcm4mShG2bWhLr4LfCFCRifRCkZk4ocI7z1uH0XfDgI8MuDQx862OlqiXCEJOaFj5hyzZvznNtDuZxgBC9xx/4MY6rjK4itUMWckGGMsNKtsHpma0ohhUDfaVkdohgNaAhTsQUnsnD21q43VALnFk8jb0WxvH1c+UfXohk8TZZj9QKVl5VEEt6kkwNbpxOZzaSIQ23BN0r8mRap3UvqwbDpCW+SJhjKGQAGcZROnHqqsQi6lASJpN1Napg/MJZbBKYLYnayhUxaYx51emFtbZxtk5hyC5IXH92PbwwoSRxGRVscxpcQIV10iwgZlnjyMtpGQAhJoJc+dvhCuiMVK2I0hMT1QHzdc6luhwLGhFAp3ycK3xG1hibFlmZEgzwkBCTvdI3d1R8VqSHn8+UohKk4FdJdUHbV/ACpWzuCWmWIFlGgUndLamagryWLULwWx5goa0+6Xc9RX3/bC4MYqj4i525YQJkV1RcSyuUTb1rHNTfjKlGJBH+DMzHYAp/jGQK4rtzJA8EiNEALp1nn3qQUIKUj/r0OzHkyphu3zFmoZ6lwsegyicmsvbjaRRSSyuJsbF4kNUBI/FYnIGZ+jOzH5BMQIpniaJLKGnZ9r2m3bcGgKmshXsIv06pMJRjYVuPPaVynlCWZj3Nkxc0oulWm5J+nhBcFjoRDxKE+PniELoaUHlSiCEC3Z9FpvidHH3td6iHytMdmOt9lXyVvYTvmKzB+BdNYTY4I4e/REiAJihH+Dmq11F9WBRLSzUkXayTxo6P3mSSiUzSLb3Eg9D4mMTnhnGgIWZ944xwKAlWx2UxtHNJLFChG1TrHIWusiGeaF1fbiT+uTYDEspzAm3fCV2//LDRzxGFZdxXRJ+7y7NZTVfI6OHXj39xdokytzCAgKI90g/6x3zopEpkwEJW7Njdpx6ITfdEhZGduGZ/RXEDfiY8h1WZknOlnB7d+3XcPoL649oU0IBdpFELuGJJrsTHfhoM/hyxEVdUaqz45EHiISz1cQVFnAYJ95Vwd75dFGleWLNCQwKzJRjxRvqKipo+m6FOVmdZCrCKQGh7aNGwP0WDgBxzIDjmnV0drYkiWuDBVrL8rZMluHUB7NdIaj4chDTFb/H35rzm6IWvPc26pVhDzu3jaCZNLbbl1AaZ4Ju05M+q5fAw6zJ0BMksNLWznxEdOoyoxGM35MN1iNSeaPDmCr2IShAo5ZDLsImqbCEMtlc+auAcJq8ccq1wzxbgbXJXFtLhh0SDtdtWFQwOqbTu+AuBLJFqlioMbK01YteiIZoA488XWepjcalsHTCErhZKj+0EI1ZKpnJC8bse4HzBOQIKPxz10Mky7bc9Vf5pNNxpIXZ1K8laWhWB2jB6c2iibWspz+IKJup8TKxtsrcT3uAR17s7XulxgngBUYYs/ChsF/OTQ3ynuOy/U0Kz4vkb+cGi51Xmz0SyogPstDlHDdIXKhLV6/cISSVp/lwhCkw2YtDYBD3sDM0gAW/eAx2+7ZHhVPlE9B9yBCmrGPa+2p11x2NyHxybIxeVRgj5TFaYAxH8B87nBhWnYfD95qiT11y+NZWXRMpBOiLCafLNbOygKpw6TEbgP6PfJwexAQ3WNxR7PFYOOs4m1mF1Sr42xaH2t35SSbS9pxKVSDPRClLA4JC1r9h7LZhrC3LYb79ajQIAn4Mx2AsYImBj2walL1z+DBHSe8jd0K3oLkfqFgT9+z9MGg2lvx0AD1Mv5Za05HGBlj1hOckwXE01wjWqugOT3smWEdhd4JUkgdQQ3o91qMbS/uPhz2TBSbvZSJCrXYeZ1wiHxWEiCxw8FY9BghDixyQbo1gp1cFdLcWXsI2Ly6i1INmQSNrTM4PAR0miGK8c9B27g0DrXGsDBoDIRHGrFgMqGyhhoUXb3hclTi8CLbY0+m8SMG5ZiYcHB5/ZjC2bv/z01xRpt30uEr5G/lnr3pJbxDZ24+wHQDOMa8rzhwKN91t1zEHybvZ2BTB4AVdYpjsDJJMWH6xDFN1ONWHUjsiN7aKhepEkzNqHZBmD2E1DdAy3CrVnngoGSBSRYFYabWKAdEbJd7Cgb//DMHhkSiqCCJVJ8OaiJLIZTT7s8bAbEhDpIQTqPkpqA6bGMDH6dqkQBZkxomTRVg44QBlyggfb13IJqR1jTcU8GAXOE21IkCVKuvAP7E1Ay1Cgs3iqiB4QHRXPCZZ7OyOuH/IAAAEABJREFUUemJcYMvgOjLplTECAhp0OiGWTu8BlXlConsglok1igGSCYR1iDETdRyH2a7qD+XXZwuUS2ATHp/IGZrlBwENaKPb70BE/ToBFhU9aGRn3lv0eDZd4WWdjF7aKqjZoiBVbg0PGYBylbNoj8ZkHlu1CyhzXBplJvb6Ll2zp0UHjQC8AXEBFKBIgjh8lMiOpEQUbCTKhOcjxd3XDCmoBKUBHdDxVCBxnAfjxWvD2gCIhnKREKgNhi3UAsKzFJkjWCAsFnRw+gkbsEmj5+c56vsRAtyVkMQx/ibBpVzpkt4THhB6XHBCikifC4RLwuQm+dRpVFkgkEClixOBMPwEZA4fcgUIgOwABcZ6ccCJOavHfw47fMO9GqmKWLEhsKX9QhQW93aBpQa4IoxuTSjxkSbEN6tRDmRA2PDIQ9RYjVGlgVbqPbiwHgcEJsbSvS51C4nYS8FNCNsESNcnQ4cJjacLRRBkGfu/oxtZ2IEFREVgbAwUQakYyrjEuja9AEQg+FHPUyiBJjI8Hl68CUoemQ1KErWFWMq0dhwcZj94cFjA6TyobjW7sJTagAZDgQyO2OFNQJtpe4wQw3CgkuQLPV3VU2MDoAhHE8lGRtRuESZqdIExGgUsBYS3EIIgbGKZCwe43GMvtUVvG1UV8cAgeRBWDAOwhp73PZyzhcLnNItwO2hwVZpCQpBjDabycTvHHaNXv84bcBIiPywUL6tOC3rcnvVKZzSNZ/3wlji00GkXsiluR4slkguIr7BuENwZIMyeYs8Dh+XEGLik1Wnz/t4ABQ0N0pkO2aUIpLVD4E6LJo4PwjP82IvmhGZPyKrLlpqg+KhuKJOYS7uAcHqxOttoj3HoU5mqNmQgk4RQrPfSQlRcKYq1mvitENpF6STLyoQUoahR+1MCGDT4Rb8Ajl3c7MYDqG5y2nFNkCEsgSAMBCMCDPzMHQGHkb4PFHVpPHjA0BBXnwfgXRz+AOoTvCqWCm4dYdWBgaTv8kIBuzGh5e2drwUh0Wj3XToqndFFDxptE0lCAXJcrWlbpXTo2JnJYmFvNJ6g0KEVc3dZE0UFoDqwhziwc93Bpja3mBEkThtAKqDAB0SGRUWD/qfWAGVQfGJimpa7G2L0cjRLHw4YAgvomBYRf9JJdrIXKDHxWC2zuY+byRZ4kxwh7pEV1gTm/6nLIj+McbrQnugM9k0iLFHMYSQqiyvhR/RQQIPowSoROvrIJMuBi0RbM3mIjMbFGyfRDglExWCOWA9CYaaLNg1KB78yPWwzm1SON0UIbNvB18WRXoGIAT6HgRmEdKoNYdyTGnaFDwLhrEEuZOnLHAdmygW2a7F94smxrowAK0h9qbHaPd52NPGWZQGwIkxj6F5nsJnsyhC7ZztsC/+orX/zt7iv0Fh3O/G5u9X+577ff/9d/6+d+6/cTsx6L8K1RpZzp+pfsTAgQJj49KA0t95FY6mxomDh+2w3/6TB1bPKnQIjxsfHRijw73MRxoxrKMo4kTFjhGoxdXCYVPEEBk6f5UkAYCwGpJMTIzmUZSJI/JCRpncmICsnTy/jAj6p26CFIk0xyRnaKab3/00WjJMcsmEgl/YjzsgZckmj2q1JfPnUK2OJkDsxGxm5epu9kEbkAhENj9tRiNAGNyQOFOPx9HIIJTog65OsItz4U4ij6v7AsF95CLXVgcgpVQ+EJsOdl3CZx5ZUnFZmRafGOZXOmmUDPuQqARDMtMsAuJiHgejc7r5LagK6oz20QCKtFYLnJMRJjHe/jC6/TJQx9tqbaJwhCMwrgmyIPDIBmc7e+87MzVBYCLFpEoFSu+1TFsDYKg70v8aPYEvgFeqhEKchmxL5k+nGCPDfSabp2wOB0aTJ/Do9dihOq11/QIEWf+Pwb4l9nL2SAtspaSo6SKHhxJuI9Ugfm06tSAdWhGSAc5aOTWrGTWiGU1pkoiNPWr6GgN9OXMPxCZELcGq38MpfTbwwDkYChcVbJNqDKb7Vfa3S+O8+LFv6hITbwQ/PWmSI2gUtfASk919FRGvBExMYgfPEaYUJEcMFozq4Dwmj8iMySHjoA8REhWTwhTJTHa5TXe46BQXWSAVoAN9DSSY/EAgAwN+JxcibKvQUFEBwQQ5Rjn/UbQuGlPqFDgpNMGkOATSTwhDj06OmOtx4VGVDdlGTQzuiDKJoYGhqk00BCcrKp9Ai/LpsXwIRDHaAb8lkjuxBqXHimbUQSqPB7fsJrFVvE4ddVGvwUAlg/gjU48HC9h5UKrV4UYau7KaC1OhK2CNgQr3MrkiQkzeqkYnMEx1TNmFjNSGrOGwMkMWcVrrJBHdgGPBqsO3zOwPdOYekTGHxKkrnA8ztEsKif85B2mZyvbKIGF79c51IHf0a0syfyjyKLEh1yseInxgoKkvkhjsOyiwBZ2rGCXHU/8NA6CTaPjbFFw8UkZ+Y8+MDpd7A9ScEEmaEdFHND/WAML1NWvvLpOYroQyBzKHwUPsz/l9fjYlas+CQ48lUAQKK7mdtWBlq18LRdDce/eoQwJxmksmChEZFJmpI1f5/+/VMyunjBE6LEwK1G4QDV58NGlzsC6Nl1as2XTBSzZITsEMTTibqxMxphjdAhegeZnJZxaeGzoEEHYMsAkwg8mtEwtxn781j8NWmY31Ikh2G1aFaE1kQwRlxzWwCLk3zbCwrabOMgaYZhi3/SKDb6hkixev2nM1+ugURicpvZXICYYXYhDseWeQJAdBDHgYJ4xdeWijW5drYgN4vJYiBRvwGDRPjHX6V+tKrNWfithMiooct4ixvuapMM+nJiES03c2+IO3KHT+jYH1zA1PfRB9UnPipxkhT+h0w4o9Dzp0IIYjDoROQy/4UfOOExs6c0IO6TCaSBfhDrLRb0pKrQHNDYHTM5bSpEXVMYgnHkWJ4+iERd1iBJhSIyrtAaa5jwiQybAYJo9YmVZbWICd8JmSqavHKGCovT8gbnikYsBVr9lchBq9RR2emppDrg02AcQwmRi7pXn5naaSQGtEzrQ8BvGeN0fOnK+Rvo87mBg7m/+ENXvnG0Qg4Lrv9ffW/5ex/4CzrKjauNFn1enuCTBDRsAA5pxFQV5FEcyKigqogEjODHHIOUtGoqgkCSIqoCKSQXISlZwk5zADw8z0ObXu/6ndPeB3v/v73Zq1q1Z4Vqi1a+/Tp5vXd5CqKJNvWnWQpa9eX/wNu5e8SP2tzOY0ID1qwldlN8xIlQByQJT0dpC8+qiHenmr9Gq2Wfz9eajxXcFd3Y2nIQIv4e+nt5dlqJZhDY1Eb0KW4URErwTQiCmTSpLBdkWpNaKWXg0TfWo9MUzUlU1yKkoSEiyUoWypbUYLKT1JNVSZpezKJLNBiHBptVkq8NaryKGBAqoEhJo1iN4KTOxgk8ECvAtCmIxk56ZOldYBsx5ehOIuQN7aUBWd6VXgma5f3rtTEQUnfBHIQCyqpUEAstYoVQVophxQDHebCCHuVLUfV2ZEiM/ZUIK0hnAiBguKKtJQwFByR3rDrdsFfZeZiKRNslc2WMUsZfTSlQ9ncBNHLCrEAOc5EZJOUxzgRlIBkkpRDBmZC5rIErVERklBSvSO0K60JzX7GFd63e5FttuhqFEwu8jsuurZmqBkdoqz56g1OP79gRT/vuf+/9z3yJxkjxMHGhqoh1KJk6RgFTFYiCCPaE0TGktcrjBYFaqomyGbAiV7cyUsCKSuLAR1NSzsMxjoOkAmQSwF/hYSAS/mILSwosFGddVLkAiNmiC0IFjUKexjKxqzAtzsRG4qtkch2XZmnCOqq2SMBQFSlNPZA2szoc2wFQ0kikxar6Y0VqGKkMJXBopb2ZXZcqIPtZFtBjJmdSzZPGbA0iE95+hLD93xwv23KnnFEZp6OjuNBZ+q9hQDqXahBIvCOCqSiBOeFB6JGRE2uwKQDUOHPxEgB7AVnSWLoCxVBQE5EmO+EgpU9ENAEdrSJmfCFVIYglJwqC2hCoVEmW1RG8FZTmQbckzDgjgPj2hKjqnX5u+YhncbcSHJXcYLENRw1nZMAuUmMiO3HTmIs6IiFEjuLQwEQqRuXMoRM4Si7R9FqCDRHXjPiRQiQjKZkCvJIGLYInVzq0Igm2xdUgbVppWWffmUBXtRBoQJN3oE0sqo+AeCtXYTiIBpMcfWSFA2UID1YQA484aQEisKgjTZk10Eoh1qbNxgZmogCHvhldtevNFmjc2D8Au8JqfSOWul0srrkAWd504l1aoaVN+rzWUASJUcY/R6PRUvasngtVMy+ODGhTLEoA6Anr0jKQo3A0xVr8pvyBQp5MHWOuI1SH0OSil4t5j+CB6q7CKMTylCIayw6kbyfi69LL1ahjKGsozIjJMbGm4ixeMlnKVoromKPNTLzwlZKvFNlCePjLZpO5HMC25p33R2dPTFdVfJjVCgsqO8gm1aErASieKjSzGIUkvBK50umLOUgaI2GlAWemI4XlTA3jsAXKxyuABEqiAni4sAj5ARGSUbLC2L/VaLIWHCYk12JcLapGZLkKgTKQSPnPJAcnCzXlPR2KC0hAWKm5LniDpsQumlXclsEwv3CP+u8KbGzc7cHMexypqMiI6XmeRh7wKCIwoQW4G00hHbmm223QlcCAjSdRoRSkYYRrSWwjxKMRKeSOawquUdk9FJ1CC7C0d4DqhraCZPIYxjmhhjgSkTAwo5oIxqkXDBSp1Q4QoULgBkwsobJYXZVkSDAAieQWPBYUNgJpu4sVI3SSIXzsGqNgJPRVS8QvO0YrR3I34NgNxiqZVgJ5cRbCGxQ80VYwYZCqG44YCLb5CdA0DAUDKPOnPy8/2YAjcsoRibCR/wJZmIAU/uaA9RUwHLBs6UsIphaFCtfRHl8pIzVeT+hGySKCzkwUzxdhcRAqsYQAkZKW4AosgW3c9YZpOdVVFVivrZBcCARWhEoM5Kg9UZsHZMsuBGVTDsRlGxmSywBqOBKMDJFCHiY4FgSirMCb2Y2AkHaODEvI+9qAYvjpHB0IRBmVghvqL0RnjZ1RgaxFA/hkZjaLZKP3pVMWvO4D8PPn7LXY/eevdjt9/7xG13P/LSq3MHMfL7Cy499pRzj/nVOUf+8swjTzjj3D/9vUqq/VQlax93DdUYrmV40FGM4NXvTWgZJ9bhyTk8uY5Ak3JkUg5P9Dw0ScOIE3NopA5PEMqhiVl4F/PSL8m+2BTNLfBDiWl48ujQfA8/M+Oia2767R8v/u2fLr7ypn8/NWPuaG/yqEZaKYPMUaqK2of6o/2rrr3piONOOfy4Uz0f/5sjjz/lngf/26czlXPIh0ZlD8nLNpUl2RAtTjKak2VqwBAle4W3raikFPUmJA1kHppYy0jtjaj9XS4i5PZzIPnBbqDq7lz+j1vP+tMlZ/7xb78976LTz/3LBRdfOeOVV7NWisysg+BPhzEIv6MH4gM4BlJmU/OlADbKIHoDeluGyTUgL71Soci5g7z4yusP9+5+c/jxp6U5cOIAABAASURBVLDBX57yu2demFEp3IGV3h+hgs1Ftp1GTSipbUDy0apfnfmHq2/5z1MvvjYnuV8TB2VkoF6lnnAK9pN0g31BkkKIwdMjovAsRLghPW5xjizw/Ky8+ra7f3fRFWdecMnfrrr5v0/PGC0T+zE8EM8aaWk4xQxy0Cf1I089u9cBR+1+4NF7HnT0ngceteeBR/7pr5clbXRAIku9ooiQRLqORXIBBV3SJQpT8a5i6LGnX7ru9nvufvjpZ2bOfXVQ5mq4agh3I+kyb5QkaeV3BxdfdcMf/3bVuX+5/Mw/XXrq7/78p79ePmv2KDApJK5I1tYk2ieeuQFlV1Xcfb5enjVnl/2O/OTnv/WOD62w5npbH3H8aTf+865+9saqLcEQMbyIGrkq95qFsBBMSdKkbVWFJduVzivR24gQhFZSCSYom0bhWIkHVnwVnqQOBJ/mYuwVYh6sJTyiPacZEYZTIm6oJcSa4ncdAcvVlKwmu0sCbW14UkTaFGOMGAEOEIcDwQzlOU/D+/DJShg8A5tCwZBHkBuxsexA0TiAomC7oQylajoJdyTDRxmUe9PQAtYYJqdMzhssTriN9ubOKHNeVo5SeGZU/kWIzhWhUciDmZTMJRgaD0gNBAz0bcFbskdGJuExS8jYmdM4i2oMD1CV4IM0lNRFhg9FU7eFiUjRbjQxVQtGiX0y0ZtwF5RWYiYvakTKaUyzjhlVzYh0NglGLkDB7YXsQg8hOXwoiAYJA/EjecFhUchkaw8LIEhRFc0Q6HBXkixwS7FPLHYKoQiE4DiJ1XsJtp4CrcSUIWa6FyIKkmymCqAFlTIrl63t4mXLtgNgBq2DB8uGkgchFPYQEbwmCTKIowDDSs2EwgW5Q5KS1JQcPVgcpMI/GSlFcAFPVNYYJ/sSNBQYfcFkt7btikAQGmcMrGg8ezcJ76pZKk4BEKqlDEYmDSZMqROnDiZOrZOm1okLjNHI/BqZWoen9IfmG/Qm93sT5pYJfd7JZTgJWnlv89mVl19z42nn/tl03oWn/f7Cv1x6TZ8tY82+VOVGkFJ44JWlvDp7MKdO6PfmG4xMgerQZPHLSioCyS7cJTaa7P3FGXP/evmNF19908XX3HLJP269/IbbH378WUfkIwOqgyRFDgaVx2mo35v03MzBNbfd/Ye/XXP+3/9x0x33zZit6rKH/CkWJA/RVVIQO4b+ftUNrvl3F5569vmnnPmHM8678Imnn29VJlVnkkcUTznjZ0CJ7Mb2Kh2bOH91uxaoI1M1NCmFgUkcQONwcyIckp3BKlSlfozMzhE+3eZqZG6OjMZw5ZseDslVUzEoI/0eP4FMyt7EOjKfRubL4flzZEpOmJoTyDXF/MQFcsIUTXABMDk8Hz8AkP/f9z50zC9/azr5TOZf//a8+x9+jJgZbCToqUneWERGhDgVoWwUVGqGOhKWixk8NUkCmxHUDwRls2InSi/Cki8UJdltC2FFJYEd2DgL/VGCMZ5V8kcqMtEhwhOpkAhV+JVZSGQxsFZ1ySUhSp4dRxk9nm7DlA2TYoCxtRAHiXqYoQZTFsxSZG2rsnOJCEeVaw4hZAFETQrWZGJvjacYZQTuINRGAe+6k7AoaqSEqvAcJMDwSELIo2OC4uhKEBWw7NLCIeACDrgrzw6OQkLFFGOaGlVtGB+pCFpBAUZxYUVjLTYioSpCKTUdvl1qTMJG0ATILixRWbGhXQ4jD99e+hUuGhe6kAC4cHFkx1QQxioceHAMU1Q8QKMK2t4A2T5DAWITD3MzlyQEKJGCRGDwzaxJdcIE2Sr4lFJ+2CJhFCCcruXLTGBVfjUTpkVDIRjOMzAFCFclqpD9mYoEADwBEwQ9QKHgX6dEEcltD0e2EzlBEJIdwYxVlYKxk4QfPLDgWFX7ShqvKkUspctBaUaMwJ1FwHi9USacCASWROakymJqVpEqSaE2QkoisFBg77Irr999v8N23fewXUyH7rzvz3fZ59CdTYfvss/hO+9zxM77HgGzy75HXnDx1Q888tQ6G+7w2VVWW37l7y630nc/u/L3/37ljf3B0H6H/XLb3Q7efvdDpu956A57H3bU8aeM9tkLP0kOHnrsyY2n7b7RtN022GqXDbbcZf3NdvrZZtPX23zH9Taf/rNNd1h3sx1/tvH262283XqbbLfexttusMl2ps2322DTbTbcdNoGm0xbf6OtN9hkGzPwm273ixNPrdkTX2VjSPLXjyzDrw0K3/p22veIT3/uKx/+5Oe++/2f/nSjaWtvsPWXvrH6uz/82S99ffUTfvO7h554YXTA2ak5GM3B3EG/P2du/49/vmzHPQ8doz0O3WGPn996xz2Vz4pMWlMyOVbKYMgKErJKliPovphCpacYDj6fYli9ib854/e773fEHvsfsecBR+x98DHHnHTqg489mcb00kPcvRzUmoNZc+seBxy19kbb/nTj7dfddIf1Nt9pn4OOffSxp2q/Xwej/UH/tn/fe9DRvz74mN8c9ItTD/nFKUeddMbt/7rbvn22MKC/9z/4yGHHnLwLN25vbhk37ueX/ePmGsExnT139PcX/n36Xt3uDtlhz0P2PfTYJ595oYa/gSQbDC5xFFyPT1hVHc06KINB8oVnkI89/tymW+/xpW+s+c4Pr/DeT6z4pW/9aIPNpz/+zAuhAqV65IngR64i3rDiyIaESDd6hRKiNzeH//vMzJPO/OMXv/GDpd/7yZW++v0frbPZWutt9a0frPu+j6/4iRW+tsdBx9z8nwdeHdVAA7acfbjRwWD0vgcePeCIX+5/2In7HXbCfoefcOARJ1548eXVKZLczu7bERklw0+cGF7ZUqg3pAL1gqHenL7O+P2FnIRPrPCVd3zo00u/f9l3f3j5U886j63yDHj7tUb1nudWrb/Zjquvs8WP19t6nY23W3/znQ84/MRnX+AHcRnGxcpzxaOdAxqVONExjlMd0M9+6uobbrvz3of4iebp518+94KLpu950KZb7TxzDpaeS8oiBWGC4tmMeUWikQfVVMKwtKfTKpjgzrAPw7BWLjAcQrtx/xBqk2AcGa/KStjEES7Ta0voVwMuvnu8i4BJvEJbB8VID2ExX91NMSHQcWvb/Q1XS0SwWESxIAmBAO8qlWjgseHlfMgUImoSqyWKT2CJFV/AEExQplpSGCeSqvcPjJ6bc1B5CiwKrCDlU+BYGAK3oCOVSfg5i6gDHguxZXcSqeMHtpVCKKEsKlnsSqsyabZ9AFJeJEU3ddK0SCwmrjpgChJwjkR0szgkVZUmt07LBfsAiHJQQ83KqqC1AyXRlaQhb1I+btnlYT+kACYZg4u3KQNEEHw4FqQdj+ziiKSozdp8caIooQaetEWJrxluLzBVdkgKh1FXp8H2VdgzeUajUimOguERyCo1Ap+J0iZ54+w9wZIUh64cMkPUj4Yd4idckgC4KvjHai1O+DKHo2dEyAWkEiZgKVooRbgE1lasIinIEEbePpiSoRiLqaCbKAU+6HUFCJIg0WAiBH3gLIguU4swVcoTqJK4oyBF0Af2K4a7XtObIULn4aBEJpbJUqs4ko3jkcQzltDGp2CClgNErlx64unnpu+87xe/tOpKK6+60iqrfmnlVVeGVvnOSl/+zhe//L0Vv/K9L37t+yt9bfWVvrHGl775k1W+vfYqq66z6g/WmzHjNT41csDLs3/okSfy7lpvs+nrbWraZe/Dsow0K79h5Jy1AkjsNWNoZJVv/ODt71/2gx9bYbnPrrLK1767+lob8quudN0NFIXaq0otwzfc9q/VfrTeqj/82Te/v+43VvvpV1Zd+5gTTkvO0aB9ZNQ+yFmjedfDTx514m9X/PoPl/nAsl/86g9+sNbG3/vJRius8r23v/8z3/zBur889bz7H3l2tJZaaw4Gtc8HWVLH3vsdvuHm0zfccvpGW++08Ta77Lznwf+554HkTtI3iBbRKHElXUNhSoZeG81lP7vyxz+90sc//cWPLbviJz/zxZNPPVu9HjjupPfAvQWdVnitdVCr88bwZz7/9bd/cPllPrjcMh+APvPBT630DC98gwY5qDNenfOtH/7sI8t9Bfro8l/96HKrfPTTq3x8uVU+sdzKn1pu5U8uv/KnPruK5+W+9KnlVvnUZ7/86c+usuxnv7LsCl/92yVXzx2Ua2/413a7HrTNLgdus8sB0G77HnHbP++msQ5PMZSTbIdGw6GTq21rclSDraornB4E+obiW4+wcikFYyULyFCB4ZOImDA2RI3gSkI5QGmnLyyKQe+AIhJHwVHHF7YqK8DKaQwushBcqjQk8ZI8R6ZdUsAaU8VepMia7YjBWVPVRq2WWzS07fFJBsclKi6OmZSPTA3ZRMzEgidyqkkVhdAQ0nKwJ0pFkeT2z3YJb2gDCiX74Jmmf+CrRC6hRpDzAiUEzcGEviWqiCIyP/up8SAdlhKCrpJaToKt0wZegREYrM0C5r6iIQEaW1UbnA3CVKomX7sdIIk3yNoqQcKAgvSJ0t6hWqNSMwgsVnWLePCQgqtxaFNIoSBZog4x41maRm4IWjIUYWis7FGDkYEj+oIqg0kAEzP1E2hMA0ACqdaBcZPxkoAR2T4NJoNQiis9VTEIlGP4cRQNxIAVG6SxviVOCRQViRrDhFKiAlQAG+NVbSTWFi1EMU3FhLJLhTmbB5qUuQw2EgkbQMzYM1JYuwwEp32eS8ogMXCwYF+ktmkQ4cazGkbbExOSfTi5flKuv/mfRxx78uFHn3j4MSccfsxJhx5z8qHH/OqwX/z6sF94PvzY3xx+7ClHHH/q0b/87T+uvz2TV5gPFY2BiMYpqCHx2ziReYwQwwVi1Isvv3rKWX865aw/nnr2n0495/zTz73gt+deeIbJzG/PveCM3yNecMa5F5x57gVnQb/3fObvLzzz3HFCc975vz3vwrPOu+Cqa2/gt2ISf87wTjJ6z8187eQzfvfDH61zxNHH3XXvg3P7HE3OptsFYtZrs6+78datd9xj3Y23/duVN77Wtz7ZN2/5yvt2rODkE8UFK6JH0ZlMPEXiHrCtrBVceBBSocLepShReLAy1EYoopah3/3pr4ce88tDjz7pkKOOP+TwY4//5amPPv6koidwUcBIIU4TNZBGrzeTmBmUx73BkP2Bbrj1zj32P3K3fQ/fbd9Dd933ML7CXX3tzfQcMxGI8+hjT/76tN8dfuyvjzjuV0ce/2vo+ltvH3CiyMBPDZCZcEL/SBUqvYhe9HoqJYIfLTkcxFMwpGhdUHrvFHPHnfcwQ3P6g0effPaa62/5wwUXBZ2XQixFES4jUqFaEOlGEENuS+mXkctvuG2zaTttt9Oe191wy5xRvoM0T/uIu3TXfQ8ddNhxP91om1+e+cdX+7TULxjVvuqAQd4UI5grEalW6UPN7jKjJqWH/DgELDEbqyK5h8ySSqq8NnfuE08/68ZG6dd45bW5L786a2h4pFd6RkYwqwU6vEF5AAAQAElEQVSvUk15luOSF4JNpSkImEYkkAx+xIbJQfIhlDlQeW7mnD/95VLfa4AiakSJlb+6yoT55lNvWKWXre1SyVAEiBY3nISWWwjfAnJHkVnSgi3epdHsq+KKiblT4hs2qdMQNX2JqgUjT22FCQKx2KSoBDPnAFwGEkiM9Io15X9gkjLkztsfbDpINASTuA0JCs82J5ZxXiC5Y94ZrFGkVau8BqtoBVq1gSbDHBrI3LyruUgOjQmiNrBm0LpOTCjElbDyAcSioEIueVCol1YwnsHVKks0lJ5chFWTREb8COcA6CCEIkDNZAbevQkMOMtHTxlYfKXTcUCULSBz0/p4gQBWk1VORBwRxHKqRWfS2PBZIwZ7tNKXIbgQzr3F1pUIHhUztjYjQSKyxUyYlOiMGG33QtcxoIzNVl4ouhgR1J5iF5lCYFbgbCs7dzGJiMqLMMOioGaJqoQ6BQww1s4obrStDiIKsJ0H32LEGMS+sqbtEMZRUHQUwX1IKfjH4rRjjiEGKmZsQjsWwIqkEEKBYUvYfIOa3ByykrRDGNwMHSPs3Cxm5LY1jCJaFbGCKRHI1dTAwgxXiyZV3EytCcAw0wzcmO2pbLwlKWJ0dHD/Q4/cctsdt9x8+y03//OGW26/7ubbr73p1mtvuPW6m0z/uPHWa2+67bobb7v2xluvueGWq6676R833DJ3lB+FB6qmFF8Hg7RVnpOcclJxJvWGkQBztD947KlnXpw547EnnrzznntvuOnWK668ZnhkIl4ZvUEMzRmUOXXotdrjo/OFl2dV3gK9EB+/xcGjDNGbWr25geK1QZxzwaXrbT59570OvuHm22fP7ZNDbcDMePW1iy+/Zqsd99xo610uu/rmAS8VF8zvDfnFV+VTZjT5XNAgoRhkRLvRDu3yQ2RSqvAvWFtUplDp3f/wI/fc//Dd9z18z70P3fXAQ888/1KWCbU3IYdMGppopjeSveHaG6q8ikuvlqFB9p558WW+XD37woxnXpzxzAsvP//yK4NBJh/3OagajNZ85PGn733wv/c88PDd9z90930PMd91/4N33ffgf+4dozvHmAf+c88D/7n7AeY7733gxRmv1hriSLX7X9uciowCT/UhRptYxb3ngsPCnF7SmiAEQnq7GSFBxZOv6LimlEcmTmMoZEtWwLYEBAzkcWJ12HaN2UllkSVIwGJXwaI1XD7M1Q9OJY01CTCYuCdi2KXYBBPIMk/1UZLNS0bWxmEJsYPkCQ0jxUy/8O40TeTFkDI+WIxAEKzjEA3OsKYkoxj0IDqW7ScfMA2WCmIndhcv3MlrSdbxXOAGNUlYMWEgglw8OayonmSrDbKWTCzGoA9YIMLTy9jaSUl6zB2EGb4FacBxJMrxqCkaAc7Vwyf+oKKZOx/PxVO72MKYLeR+ZQjvNqn1EwmDutG6qUBIg0sXJ8XtxVTJpGZVjJWNqWkISzjJXtjgwYcDiSls1rhoH25wd7Q6ZYnmKOsaFk7zRpijl1IIfIuWXQGypkp2xycTBkiGNZwtoWy8p7AVhewlD5chXNQYezUzGsIrQtGsyuoOCCMKdXoF/0yoOTwoRQByuOVdJlu4UEM4m08mE6uJS1xsoeIXUpTqYoLI7eVpa3KccA+KEA8YYL1h4E5zoIg3aKWI4Gr+UuHr2Rjb8K/zkoLgEmEHUh/K6JvKIEs/h0waGgi+JH0J0WY/FP404W2cr8wZPf2sPxx82DGPP/kMoYQ9eVVSEanUDTjo+ptv32Xvn19+7a2jWfi1llGVH5MrpgZjheTCXWD1NO8ygph0BUBwj6zgskeTMrOyCRzitTlzU0Gvks8qlTI8PHnyfNRFbXhobAshRZpPvWGMC+zSoSL+p3VOIHyoUVGr73yhLRANjPSLJYIHh0YRiOiKguyrV/iI4qiXACEAEczRRsvvYBl+6FIhFb4eXH/T7dls3QT/zrcvvcRii4oPyGTUyqdfkgaLImsowtCwrgzd/M87d9xlr0uuuGb2nLlYOpvt7WpI9qh77n9oj30PPebEM0Y1zM3I6n+VFA3WmhYRKlTuO0AjSdcoK0KwdbkVxfvPQFdbSYBpSdRZs2c//PDDIBuRtkydMnXBhRbkC2dE0Jvgy6d6AdFtAuuNA7kR0VhtgaNEfyATMNm0c/Zma/jcP196wUWX9gccZHBGE/212XP+ddd9o3zX4vM+hlM9Bd+6iyhEijZLMKHwIm+YFNn8sQdZxpQhmiAGSGYpPNRJzBC6MZmlyWIEAnGDy8SKsrSlTSi7lXMBj9EO0XShYFjF5aIUglp93L6EFyO5IGwoktOAANdFCzYhbooiYsyEGEm64KQJpayPZJEHGpoQGrOiJ1Jw2djw4RaGvawKdUoxHGUcqXGAnJlLHqw4vI6xzhKHh5KUcr0gkgudZVkXsifaloIpJHEBaNUWedgeqAOmLTyXiSHSxRDBqeBJAiyxZIPZwgVRQaJuVovBZu1rXTCJyWSQEMz7gnVsWMmdowCIaDYEOl+p8BCib6JVZh0/QmE+KdVroEQH6xjJicG5ESpqQsEmzCcTFyQcxpRmmwaGUEAUTA5OpwKBrpErSkYgBkYnYoE1TGDkgRDwqahpGRgvIOZgw75nBasNDsdKBVgaY8MYb1cioRlTAJCsYW7vMkzImaGC2iheZqRRIQ8Wr2JU8645YaLDUoYdhMZhpLG5rcYiB5G9IIoRYN2D7hlHIpVnAhbVngYRVeKFMgBFBczZ3OBDIopFO2GpOcjKyJpoIYHiwpy0pSlCIROWJme8PHPWizNfkXiHkqukYoEFFlhk4QXQKIZuveOeTaftssk2u2wybedNtp5+7IknyyW3XQBFCMIRntuS2Rs5+w8X777vz2+69Y6x12Dof4fl0f7gyn/cMG36Xldef1ufvNnXwP9hPy7JNlJ8rmSyC7rCQgMCznHsnd4OiuhaWUiPCcdaE/I3pEHyveuyq2+85KobLr76xosvv/5vl1/3tyuuv+jK6/92xQ1/u/yGi6+44SLEy6+78OIrZs6ajfs8Suqpmck1IInoMCRyjhHV1OSr4DjVMaYmJ5Pvh7InUaiYmuzUYlN5tGC8wQs1Q9YbKEUjidgoIGt8cfZ4NlBkk5jceMlhcRK3Qta0Vgg1ysKq9H30WY0EkFaxmwQLAlKqbYspUBpErIiwGmRE2AdUp5BKRJiX5whjhCciadPgjoXLSIIJOZjgWWAktdrsC6+GaVuOjqe87CDIRBUjC2FYyeVspbEiJvZQFAWzlb5KMKNQtH9MyAaHV1eFIJwSObObo9URLFyKCGyoAraRFBCXMNlF4wPZOrUpEhFKkAUVlGpdsrJpzGAN1Ca2mg2FEMETT1YUkgLiUjdwC6vkKbq5w4kPFo2N7gcRQ7hqcGzoEIdSiT+HEUrxgFsbWcUtZ8Y5eJAQMxSWuIQq6E6O3UhMaCNxFbOD4I1KwoU7RDAYJNS2AvTO0Y2lEBquVgMrAbGRgjo7nhk9SuZGsEnCcAZ1VvRoIJTh+CigpEok8SMg8dUcCA0Ivt3kmnJVFCepii20gIEEY2vCiqkdoKy2oHHkTOMJWrmF6GhWszL5GcvW5/G8VkYwKytY4ZadGAyhrXUwyKy1tsvvilopwLnlkZ4EODxlSJBeH2DBU9TrKnMRPgnsmhxdnfp/G+x8ntp8ZTco8PZZLMqhgImiEkwiWNJVsnk3fALdeNu/jz7+pOeefzGjNbTrqGumSgiPMUJ3170P/Oq0cx996vm+/OVtUBOymZtFSHMSaSLEv1Z1ZsJ6G0HuDudGIQGtWCtYMYKbTo6IWa/OUmb7hFTye7+h4UmTJhNHqWAkWAW3MCPk/6pQbxydNSJQRgRAmHEKWWaL6RKSJKIoqX04BV8cm6YEqFYMiIhSSi/GhiLwaLlzrF01KdykUiKKGmX05vZ1w823tXLs0l2rfOmLPf6EQz6x9X7J9oEEqCWOHKgOog6o6JW5/S2mTb/zrvtr0qDMqBTi+KlWAs3oQnqeMfOVY0887bJrbh7NHr9KHPQHfB7bMHYla0RQN0zzpAdkUVa2iKLNnqqowVqUhmfyXWvOvfc94BA4t2XRRRZZeOGFMlPtzMhbDslkpRjwzASJ5B6pR/XJRti4P8xTlUNIbg5gDGKoTpjy6zPP3+fAIzmHuAURozv9OvOs36251gZf+9Yax//6zCdfnJF84yrDWXriSxcZo40UmZK3FiFJiIRGCeukiLwilMrMkJ1SAVOkitIaLoxNEMCI0NhRBSqPlNvBBSNGsBsWkzVB48zjZiIIIWTWKeWJ6GwaXWNkL7iQhwujANzIUCkcKxbmygKNI4MdymGDAgKXYGvYUXlGgQ+ANltZCSgGVrcDLq1xCpImMkR0UifludCmoHxcqJKuorAZcAq9AnUVleGXHBZlRQMEY7Kg7lwARgeTwpUAFICGhiES+5CTpiiv2mY95bWQWDNFKmpJyrPSCnuI+0cCdUHSangv5jFqvA761EUmBeixHRFXclbDJTsyyyMdHzt4fC3IfuqGk7oYJQcfRkbiz+4BtLnLPO6LivqDEHCAbWWHmAMHkrZ8imiREzOcHFkolRRQQyFG593aQtlpZSJhIUwjYiQR0ioytJVkzQbUxSZuIXJwmMC2VgFJYwKGEPbmStE4q80n7iSFhVLJu8tMp2Lm9efoInL4VIgBzHNy9xMeFCI74oOJCjJbeBFYQaoQi5IbLXFn8MAkCsVAB8TCIxvKMYuEE5Ow2BZsQbIPk3MGQOt8YRgnRIoBgxM83g5Z66DyUc6Hce3KwjrmEdF4po4y25p43vfgw6P95EU2SL4qBG/V97/vPUP8BZ7HOMpDDz9+9rnnn3Xun8469/yzzz3/xptvd+xasuXHnSMkBw/+ZHTvQ0/uvOfBjz/17FhWFudhMZGRis216+4HHt5lr0OefO6VfiUvBQz6/UGzeMrxQ56dFEHXQiGTaKKUdIv+RLZT0OqhKmHI/NMFf113463X32z7DTbdboMtdthwi+032BzacYPNd9xgy+kbbLnThlvustFWO28xbedXXv2f71oiTlbiR3Ichkr4Q5GY40QBHTuP6UThV7kJ8g2lZm6C7EoQidoj4FCUUhQFQFdqsCsxhUJSEQuSeEvaIIZxaQsm3HwOJbYObzIaETQENiid+iFREQUBwrMJzTbv6MHkOIw8CgclAlASsA38Ay0BrKXJCPJFdVX/89CWdptBSgo5qhgEYJaoGaXUGJRsEyiMPAKezgU8nFNRAS6dHH5sRNAgBfWy30TC2SGjtlJtUmCVB5FQRPoDWI4XbAaxdsZEBTbtCQ5lspcEIwLLA3MXBEyasxEHAQgSQWETqqRr1KugTkcWiYJMNoXhqS6C0KiNgG1QsRnZqiCaJ67gcpCmH8Ojaj/YW99U2Q4ELN/QWlzKoGhY3Ggmlgo3Dw+DjRlDRnAWmeVCSIyvqJ5WUSvEq42XgKJGVPBGuMoqtiaeCiJFp6wslzcxugAAEABJREFUuAkN9xxX9BUBLzjmMep2a99oOYHgKgoA3TQEyuToEiqqNZGka0Fg1EbFuTE5Njts0n/LQbCmdhDhKypytGQqVoZDKjswS9oDawgrshiVtryeBQd0nlum5guQ0nHDuwpsMxEDq1nfhcSLM87sGqqA2ZTJxpLXZyr4h767U/p/Dp6vkIgtate8gQ5FWm6TmXa5GmWHL82vQZvtf6Y3ujU+3VMawzGKUnvFNVEk7hBh0xUmIVOaPXdw2hm/e+LJZwClG1xUysjQ0NJvedMqKy7/mU98aMp8E3nHdQnZb631okuu/ONfr7rj/ifufeyZe//7zHMvzUjMvlhMzpItYZaxHfj2izsiy5HcETiai5jNlvZvLJ7x2qxZJXnSs+dYg6HhocnzT7YHu6q8s1LoI4MPLBzTSeddWOC9TYIjUAgyBO8QYvdsBNYYbhwmC1kZydzChVsOZwpVckaSqmEjfC8jRP6S/CWHXSZdLkkD0TVSGbrrvgcffeLp5sIUAi99+1tfroM5kTXroNTMWh0sE434ilX74q862c8oJ//mzH/ecXd/kAxaFYqhosUWmrLi8p/64v99ZvFFFhwqJfT6eOrZ54484ZSb7nzgjgeeuPPBp+576PF83WguvWF0NcwNkKQaCByIih5F8v02GOSjkjqq5KVRHv7vo4888lh4d/S0ZtQlllziTYsvJvEX1Cr/0bUktVBPb0jyzZFSbTz6+FMHH3HSvoeecMChx//38Weqk7AhExX0+UZaJvz32Vd/vP60aTvu+fwLL8regTvd7EVQyIyZsx595Ikrr75h862nf3L5lbff44BHX5jR702svZHkS1f2klvAq5M7hk8JD5IHgYJoXHAdQ3JRgVSJK7nGCLZlNpKThx+VIQacOr9m5051qk6ZNuNhsPlObAFpJuElu2FKosqj5Y1ABMEsAMFEAczZ5UKREnyFc6mZMqBKbU0vmAhBMhixZFdIGt+hmkYthveY7DbkPds/FeNKdS6Sc0htIZg4IXKKtj0xWvEFJu1iiMgBBlmiDjYEJnHyFUCDrMRJpzAAR2WCU1JYtmpg8FIbLRKcV3wlgoQqwYNLyRQoI0JOXZKnbqAgTmsqpixEFSlSworGBBxZQeYxqpjFQE0BMA4IjAzcZoxEVlAYAEjosUKKJoIQI1yGV8upZmKDSLAh6sTYuQRcipBJN8BAkejcn0x1ZuSsY14SpqYXG2qJsLTqgOHrCMEooYAcI9kXRmGNcLUuKWkOSiJ0jFRrCSoR6JRK4A84uYwHC1FTYm81hBzRGrAoFfyzt7JlwUJGEUttwBjVLWk9LJYKPLIGLOQFt7RSVnLVaJoMJ/CUMFwpKkhmx5VQCowSrSS2JrVK5BHWiA+O6EXPo/Bx1hspveGeia9AvV6BIkCKzxgpIH6CJ1CtlRdyHfid6yOsVBsRYJyOhUJoPhtrc83e8MWXXJUY/SIaihJF8cXP/1/wMme7jjVKtTXFLyUbVQa+BI7go4JbEGH3yKFJ+/38F8+8+BKmeUSpS79lye9+/ctfW+nziy48tVfKPBPMnfc+cOZ5f5mjSa9pZG4dmjvaD7RjVMlSsyZkTY61LykWOVSznYP2X04OKC2xYOho5qxZTzz1zBNPP8sXvyefeu6JJ5974qlnn3r6uSeffhZ64pnnnnrm+Sefef7p557/HzecQ8EoPRW60esVTRjqTRgaGhnqNSrcCOzcJrDzqFfK0BCf88BME4f4HOGg1lJCoRLRixJRep7CKqmbqdltDuIFKu5LpBhsD9E3sNt39XPUwJJfGuBTQe3oQHHHmYluTYifgsRpxBbqpfik4h7y6cIRldMwKalDhOD4RvJPxIvASg0ivAAVRQ0MBEQkosZGsCYTWObCvUhVA0mZGSDthyYTpqbjcf9Y4ZJBVORqa3ZaInKcC0EysVokJlA8iG2SiFwzMEcqycxMGB9DMaxIVF3AQlVWthDwFCVbOr9ALJiFk4gWiURDyUbZ8AJAsFAahXp8cc01MYtIaTD1NJ44ZOfn1g7KTHF4JhzkTEDaTkI4DVCSwrNwBEleAmbStITBAmHqIsC4whYUvakoCATngGN94J5xr7lnGU2DW4qzQXszpFDUmuxOKJCUIYKEFxXs1WgyEiSoSWMwPELw4GRr4BVmUm1pM+4l2VPUJmZXgMNLCu43swjiRMBKyL4pEYzckLlEGzJMbRgjhVyNZ19Yi1pgS3hgRQ7Rf3pXSC2PgoliCr7sQDyH9EMgS9tFRoRQGibJygALm0gZomgLbCQj4CKYG43hiIro8PbLRIBAoiKNEAiFwJyDJRZb+OMfev8nPvKBj3/k/UsusXjI4RpYkydN/OB73rncxz60/Mc/tNzHPviOty5BaJw6KwFgopCkRAT8PGJ7kOT3y0JTJ372kx9Z/hMfXu7jHybUZz72IWg5AiJ+8iMf+/D73+gaigkjw+9c5q0f/8j7PvnR937io+/55Eff8/EPvffjH3zfxz/4/k9+5INvX+atwbvL74fy0quz/375FdQz4F0kcRIXW2jBPXfa5uarL/rreb++6m/nXP6Xs7/xlS+OjAxjVBuz587dcY8DV/jy6p/8wvc+99Uf/OGCi5o6JEgMlnZv2ZT8AHpVRYuNDWey3WCITrBkcNixRqoouFeDwauv8HctoK0maXh4eL75Jgdw3whDJc+h/2fTxIhm84Tg4xBeHY0VnjxNaEdaPDXsHsv/kE+70mBDk9Sq4xFpknoOYnMG6uh5EnGQSpQSvV7tDV121fXPPf8CJrVL0pJLLPbRj36Yo1r5DuNvMv4PQMTBTnSpmpzLSH632p81e/ZZv/sDN4X82Indy/z211f5x2UXXHLhmX/7w6l33XzZtlusN//kSYTtqGZecvk1X/zGjz771R8t99U1t99tfwrqTGMzWWrlu1zwc0AmW8islaTgTMmQs1PAIMg6qAz1hs/741/4yseri4/lKnS50MILLbjQwlIMiVaEPKL0ehGCLI1fzz73/ImnnLX3z4/d+5Djzv/LpWSr0RuN4ZmD8tgLs276z3/3O+KXK31r9d9f+DdKkPAXEVhKICVKLojd1dQzz75wxFEnfuhjK/xss20uvPSahx5//rW+Kj9kc3swzyN52Bd9KQgEI24oxO2r7J0zJw+6QIutAd4UTN58E4NXXibdL3iiDbfIrmYyUJZkomJ7BZEURIRBljjNChKKAR9C4ooIXnQRyOqsDgLryMVB2DzGKPwTJURpjg3FXwVLRtg8FiQwolECqyGwlICugG+nNhgSUwA1UozSmCBbcklBq1LVEEklIpQKhq28KFkCg2S9PBChdPcDppEnLlw7hMGWW1eCoSLfkGCRo/rFLpSKsAdVFaqQ2EJKGCoTpRIo2K9CQlkkHhUEMDzH4lSiBkaV2NKRawiJOORuMNxZk0gcGTiKJJc4DMIEWIoIJu64bIdXs3ILZIWsAYCQILsL38DQCc4VYnR5qaGlENZI3hMKOsttLTAiD0rDwwXbq2YoQmpyl9uQSO/XvrYmTILh8mMhtg9AuKFUyoeTJjVFmoFrcYNZQed4ywa4mqClNuFduJDkO1qkEF+2UphbENxaLMIrjPQUCgBcEO964hMkGKXwmyGbQkXBVPjNUrAtgGJw1xwaKZP24kUepG5rNC0wWwarrKEQR4VKqRmrXh/kBCpyQMqIWGThBdZbe/X9956+31477rvHjvvstsO+u22/zy7b7rXTtD123Gq3bTffaZst3v/e94DkIJAW6g0NvTp79PmZc5544ZXHnn3ptbmjFe14koAhBwUkS2cJMmYMP/TYM3/k3YVObgwTYRd/85tnz+XdDhuDPhWrBcMXgo+MpmgWQKIvZeixp5655robMUuYxZg0ccL2W65/42V/OvPkQ/9wxjH/vOavm67/o5FhvodgNL0667WDDjt2hZVX+7+vrLHcF7/90CP/8/u1olYSNWdGEpQpxajiPeZTwoKYWRMV3BuoouVVz5KD5GMjM4UMonFM7JloY6Win0el12NHisA2ecLQwXvt8Ouj9/vlEXsfd8gexxy85647bv2Oty8NOAI7q9jRxuuvffLRB55y7IGnHnfQGSccfNqJB31+uY8VDXhXNFCyk4gQ/yISUtpTKHwFIgpIclNhAFMg9na0JKGgzUmgRKjBMyC1o54taiApFMEFQgzw4nCqKAQTwkl+3iOtQRc42QoyCQOVjAgFAzNdhW+Mg1RgYqQIIoqOgLGSwClvC2WGc8EIRkASENFLlUISeChxEW8Su/lB5YHCGDVKdRwx0goVOAI0V7XIKSzYJJRRkj1ICpQlw+0qCBlVvLAi1DQBLoQk2YokBf9MvsIppGhD+HJASFMI3hoNNjCbmi9KcqWcgjuGTR4R+KZTSAEVMQgCDyPwrrKZJHyzRGfKiFCLHBjMtJ2ojbCuhksER3SRRW20BHAgsvUhUsA9cdEpbOo0wkQpSElsbgh43yXrs/FihnxXkoCIzBDWVjoTx5MwsjKYGywAmhBABgvdIQ66Fj+5oYEFdziY9CW1OlGaYUHJMw3DcWhwZXMnPCZI1UiUssDUFt4F5GpIwbDljJhXABoF/4weC5oBDnzzZkrMSWyI8nDwrQdCaxNJTQle9mNCSTTQnpHlBkpwtsguTIjB1aozMBgaivjJD7/5xzN+ccFvf/G7U49Za83VAmh4Yn3H0m89fP+dz//tLy444+jzfnPYT37wtVLf+MsnIA6XDmt+3tWenYjSKypvW3LRP59z4p/PPuHCs07489nH//nM45gvOOuEC88+8YKzT95uy01aF8jYKPiZfvF9d9/pd6efeM5px5196rHnnHb87049/tzToBPPPf2Xu07fdnioJ4Wi3Hv/Qy+9/HJja0YO9eKLn1t+w5+usdCknma/EnNe+dA7l9pms3XZhbxhtUG2UuVm1WgKJnTjgAjiiVkxZlC2vkeKvfLe9gucu8NNIym6RqCpoMbo6Ogrr74q/HnRYkl+MTk838RJ5AuFFMFJUCigXhROP2E1b3CjG9muNOiN5sY3ZVK765B/hmhq58JVWanNpqb1ISF4kDSClPAc9aRUUArJ/zkIT5cMoJgCk2Xo4cefvfTKf7zy6izwRolgOTQy8cprrp9ToyrIknzn4a9Y3TwYxGBQB4x+rfWRRx5/8qln7NuuTC226KKHH7TPMksuHHNnaXTW/MN1+y03XPkLK/SC8Lx1ogGdht/2VMGMaebpU+wuedjFX6+yKmqEoI4xLJRoMqMrqfL7vLjz/of/eP5f+Qmfb144Nde88657L7jo0pdnsZWhbM+SWqQShYCFEYyCEvLOxd2TFIMa/7rn4ZPPuuCgY07depeD1vjZ5gccfuxjT77+38yERIjJkyZ88EPvmzKFL9gKXCPkEW0H+eqs2Wee84e1frbZ+pttd+gxJ99x1wNJDmBiMXHB2smXPYkiVB1bQl1pYrTIaCSOZ4ALA5uf05UxDf2RTQQAABAASURBVLzaG7wxgCOiM6EgH9T8qASDGGgQxhigSX4ayD2AGaNxK7mNzSSYGtaAMNYMWyOa2uChqNE4Bxyz2iUCNQewIc3DQIaChINcYnMhDySBw4u0Ej0JGFAoJR6ChhC1SRldDHUDAZ2ae4h/oHFMsDQsxWgTK6rmbdYXrplNSYSWIWCSCyv9EWxLBlBsnGKqLbig5gDAuC+poD/NIgXF40gkrELsrJYlJTGUrGoMUxTUatmZuftYYYDAJMGCQZkiHEFQBouTK/FCYMYhsVOjGFGZhCISM4xUfWASdbRPeRTsCXl8dl6HdRDUIqDDNt9sgoQwvk3b7Jp6/eZEECDQCrwYGJURYCE1JdaUy2NDIUyFywQPVMaL2VGBKDRO2W67JaUkGu6V45ctJjoIuCR2zycWHeLFKb/b+G2SlZjAECfrmDu+KKs6PwIGLHc0BM+VHYMXDEgzCQSrFZz/JqFJrHJU61OeC1POP2nkaystv8UGP95iw59svYlp2qZrbbfZ2ttvts6Om649fct1t99ivWXeuqS9feGi1+b0DzrypD1/ftKO+/9i2m4H3X3/f20Zv5KySE+R7KwOovILnsFA8dzMOcf/6swHHnokmz6zHznIzH33O+SkU895+InnBlEGg1FuYIgjFyEXyVxkkR9oiuSSQ+qVf995z6uvzdEbBq/3XbfbdIEJNWa/DC04MbfaZN33vusdb4DopZmv3Hnfg3fe8+Bd9z7Yp6g32tTSpSJCwR7SCnj2giSJkwPvCrAHQ28YoYCKXCpMSJDS9wdmnIipbkSzM5cYkj+X2XcOF33h/z75w1VXWeM7X/nxal/90fe/9oXPLRfNgUa1VW9+81Jr/ODbP/jWyqt97Qvf++rnv/Plz33nyyu+9U2LFJ8Z0gfNiVIiQpBUxFoU8vAWKEpjIit6SLKmY1yyPFxs+sRgS67WgBoibGLnVLe+wCePD2SlF2uaiXY1lAAIS0RYz14Im5z48Tdh03Y2sy6xC0JIO1ppc4qzQyD5ZYEiggkkCWBAigsZCDKMZIVRYmTbQjCjSRSyVW2EzJMAX7O+gEA0jfoTL42PTLh24ZbJbuwsNJCyTW3hTYIAsVm7wDUrPCZDSBc4iwsjITK8WzHSKflpEIUlllYe/DwCTHmIRIVgxgkLwcZC2ZTmAUNwPm5ogHA3RKKkJWJ0ZqGhMoDUFVzy4Bn04rLt2/FtBo4GImBTjGUE6vg2KKNZPNnqtV1NaKgOho/zNts8F3ZuxetlC7D7buh45BbJG8BmNAsqZgvd1TZl32rHbmNgMHYwz0TwYlRbMWo8hXkXNc9ghcYldjGPDbs0ifhtFW92bw7ZXt4STTfMEW3tVhu5xnxco/WObSwWCA12ZoidEDIBNiHGGLozddKEJRaZ+qaFpyy+0JT5J0/kPYOy8DaImDgytNCUSQtM6k2dEFMmlIl8x+HLBnEIPk7hUMSNcUVbI6JAhW9bvYj5Jw0vMN/EheafuOCUSQtPmQyz0PyT4KPXO87/57bNZXwaGRlZaqklllxsoSUXWWCpxaYutSjzgkshLr7QkosuuuDU+bk9boviiaeeFrsluQLl8FD54PvePXXyhOzPzf6o+nM1Ove971j6TYst+r/FjWfKceYNK7oOnEEbUpXd1kjOrjvI0VJKlTccZ8PErws7vPXSyzP5bd1r5nkJKalqynzzTRyZQIH4JSFbZzPoLzrHe0Pyjm3x/EgHiE41b06fDbwCjXluONwYUaZlSvZC4VAQAzy/o2pCKgxOCaqJ4Oe1snYGtjR7VBddcvXNt/1TdEC2qM3/feTRLbbZ9bBjT3n25Tm1N3GQbIYwRIYGyXcbfkKpBNDzz7/Q7/ObUXWDTO9773uWWHSh6M+N2o9aOUeTemW5T3+qlCh0ovCdX71QCUWJ6AWv7ggJ0tggW9jGHiXaKkZEkcLfnBWhoBiI56eqVvb20qzR7Xba+5nnXmTnoq6qbPSvf9+1+14H7rL3Ic/MeFX+/35GFBzFRZjSi9IrhcUV9cJxfZXil/HFV1y7424H8OvY8/9yyeNPPuM+49eoRJbQW5dafO/dtj/uiAOOOnTfjX7243e9/a1DhdqNSIcRxdSBZr4y64prrtvv4CNubP9HcclpgUBRQbBQS3qXvpfwTYOpKBiSTR0MlpDI3GSYlIdnTkcRVvPySDrDiltTMSWnuikTMNCWiEaBysaLhbj0HAZtIwcY13TqVFCAbDDCIZNhb/l4JVpf4/WRDps1ttoIbyVJSccMwRCUMOO1oQNKFpLj3iKz2s+XbWNXci4oBnd8aILsJDFrbGAlZSfAQAYnp2QsFJokODgbAHZ6q1GwENlaMGK/piR+ctNQi37gKvrrK8WwKYkJ4Yt1HAMIQFMLtZvE3lF1MFw7hrzYQZSGZYI3uiHMB3YqQU6CBusYpVfahg+xLKDJcQxVoUrhbSsMuMSK5KRKCZu3Zq6J7b5YCQYKOichw0MN1iTrKMm+lIopvHh/vjqrutFeJx3rFI4BOESf0FpMWKhZEz0hpDClCE1NBEdmhi/RImLiSHuPaaydATd4422B4X2RY/rOPf08WpUeIOAhY1B4AQfRKwQsEAw0j4GHmthNduzw6AlpMkdhBmR2xasOYjC3DObywiyD0dLxgzlR/f588MEHH3vsCYfClZsqzZo9+1ennv3rM88798JL/nbZtS+8PFPhSNghv5WKRa5MDar60Xt5dp546rmnn/V7Pq5IjclbyRzUfPjRJ/Y+8LDtdtnn0quu/dBHP7LbLtvvscs2e+227b577PCVL32Orx+8vRv1ip9BXKHy1NPP9fsD0tHZNuvzK3xmiIIHc1Tn+n/9oj86aai8591v76z//8wxtg3aYjbwSVkIhUxMyVqKWh80PoZ7Zep8ExecbyI/dfDzwAKTJyw4aQKz+cbAQ/NNGhkqvOj9vo/SRoglokQ4A1GL78WgDPp8dxoM6t333f/oY4+LgZ1ZWnSRheebPDE0iOyXOsocWfmosC+YInEMPSv8jymk9t4LKSV1uWDYGbPG7qzZDoAbTKfGgYeC2Zrwk2WGq4XCBxg9IhQzoQI5YFHYiC8kt6sSxIRRtqZ37FRWqmk9ybHF4x1Scsm+NhgWxhdLapOEFYMXMuMlAXFk+4YYAI1oF/Xj6PrGg1cwgQvmtEvn0GoGidTZ2BlxmoYNeh0LAktQvJHZYbUVHRK6tA+SusjWkDepWQlD9OrAwFx555ri3mEFwVyBsYCALNgX0+sEoOmp00pE41miS4oSV2ZSxHg9omZDpLH94yO1iRkYpY1R59KZKC06dcC2jMgJw9btT+lqA7V31vjS8jNx4wBlRlGYDxzFySVWBkMwNZgiJNuYMpEzLKGtYTYky0yJ6PROQfuSyPJIsEDsK43lSgOdX8KkIApPAnxgwFkuid2jwZ3TRJVqynYasIakEHBHYcGPTYJseRwwgpBAqFkyMosYTC0G0YKHU21yzSEaR2QHVLM6IBK+iSPlRFsQcArwFrHa0azNNqKiImuEimOlDBOV4BVBYfzIjCmsd0Gl9BjWKARAnjOixZg3BaME+HkaRSgKFyRFI2cip08/8YNiyshhR51w863/qmJQICSuhx95dMfd9vrzJVeNUpida2ig5F0GkJkf4l0Ct4Pa+JlatcYg+QypVTNnvuIQfExmpU1EmzHz1dmz5yiCHI3QEaexbbIBXeOZgsJAcyAyJPZgIl5wNtqi2odPVUuVpTnXDDJKTz37/GB0AEbJBw+/GawLLTi11yuiuFAtvRpDtTfMH4kg9YYjgqSvU4S/afR64vNDRfpfK2IZUW+ihiYl1JuYMSzD1AY1iO2TitrUXTX5Y1OtfIYmpjSEiTS4hb+mDAiaXJFoREl3PfzYsSf+mr6BE1cS2xfLgw8/csiRJ2yy3R7/uv/xQW9i5aCy66yZiuIRpQes1+O8BkxHcC+88AKQsQqQo2T0Zr76SunhwdmJEtFTeN+9UIEkYAqGJNjScTTSPURAR3UpAQ9mcQvYIYtiEL0Zo9p5r0Muu+Jam6iPBWwDKssTTz37m9N+963V1rr+tv/k0MRUVHxpHHNkmMR+SKPuknqlRIm5c0dnz5mbUsFATBMSoiaODH/jq188/Ve/2GTdHy77kXf/4Bsr7b3jFn8595STjj14pf9bfqQX3Bsue4xf/FphxRVXSPKmgtSZ3ChWciZoLm87EiOEM52GhEaiYvACLvARRQnaoVN0gdtJvyMzgMNlUnKzcgb8kkwFIq4SXxMBKYkhNp/4ShSUUlYraiB3VjG4e4FGIqcAObIVRM40TEjBy0r0VSUkFUI5UlMiNw3WKNTGhB+psOIJr0gzCkOdxSv+XmpYHTQiEO1rWfgiEoTCcXcQZBqAgAsYMlGsCCxFq0rjIyQUIYzRhhiIySuYJURQglAsis4ET0vZPgx2e4liBJS9KmlikK5ZM9kOlzJLhCjVAreQsHLXRH/wAo+/XdhzUHhydXkdMBqEjYMOByFChhPSDTHImepiUScsvi0FrNXhg+E20BZ43J0nhI2QDhCkIGCIe+NoFCec2Ump6RuAklLgCgWAxMkMcTIaD5zoKVwcS1hpi/cbioJHAYY/s+0hVFnV8cDoFeUogkBishwwAYIUIAkwZnWOxBXRZnNc1rAoI/APkQxqGnhxTxXyfaBOwcKzJcIHA30qAn3QLAkeVUEBJy8KnmWYFt476o5BKCW7uDw1QQ0fWbHQ9cCJbjQbvKWWWh4JNtI2kGmbVzaPDi33oXL1y/Dfr77hoUcfswtXM3YrrNH29IWSiBACr7KMqFFqbyQnTHn6ldHtdz3g50cc98yzzxsmzkHizqco3R1k8BvDv158xUabb//78y7ccN0fb7nBT7Zcb82tNvzJist/ciiSt3svSk9DnAClIsLxOZUIXbg2P/nkMzVVK4asHjlIzZz5ajN6wtHL/48rQoLECIqDTVhlcLAso0QBhQodV7uD6sZKK65w/RV/ufay8/9x6R+vvfQP0D8ugzn/usvOv/byC9Bfe+n51156wQ1X/m2Zty7Zvm4FvxEjDBQl+BzK0oPhFSuF2siI2QP94YK/zZk7GtHdbBv+9Z+7fnHCKa+OlizD2cOLYqIbKsQIZPmEdHHcimzHvRUc3k1XO1tpTMB04bPlNh+C9Y55zoOwCVKyrnvMlXIaoKQUZwyArcHEXYoA5kyBSQxeC+ADjivsy0OBEklcaNguHCCxqERidZBWdVGAkq8q7m8Rg7cWxiqboooAcJHJqc0YywsTGYFW7ICqJF4c4dJSXQr0MG0nbCJSb7CGvbhMxKCrlWBgRBanAJCBBwFZQgWzI9QmRQgbxbIRfCWklGQrC0EKGm5YaowRpVYxqxtE8DYtBCZywbaoGptT0XE2sJEmSuhUqUpEthAyozZTDVsgY+LcjLTMDcBssanpo7hHWCgzbOGid8z2UsJAVfbgqhGgCMrMDjMi3AwRl8xILoYTu/TVAAAQAElEQVSeS/JPql6SClmVDkI858KbhxhBzdNpkCVL1R1vkoOCxFrTqxgl1EPRgmJPCZ8aJGfFQAnWIaTGnNgjfHdnKEvYYjxcjBWHLrnkEd6DGRRphxQ3BS1n0mIQzeb0DsPceBCFHDmtC/cXqBWuTmjHCsLsgCH8QCCaUihaCjUfpIhoj5nNXVEp1mZJEUNupizLXUOM/qCf5ocye5G8QkvpDasM93tDA/UG/GQfPYLof0eGoDfqBpJ30FQYba5s3JsGWSP6ZfjM8/7y69POmcsPmg3GFMGUvMuuv/n2NdfdZNPtdnv6lbl9n7AUsMFo9mdH9lVHczDQoP/OZd7KyceS1e+gOaODq6698Z6HHu2rpxjie8hoTPj7lTfc9+DD3EVCd0SSGB9okuuNFIrCd5AI3gSBwK2gZPGOjKyl1mBjEi8TqWZWvuOJkvgcyQEfKI8++uggyqiC9/FABeBCCy6Ic2qgKJdcdd2fL/vH36666ZJrb730+tuvuO7ml2a8zNuxhOaN9F3jxV1KCcY8Pcxof/T8iy7dad/DdtzniO33OmKHvQ475pdnPPPc2OclAPaSyV3t1kwXmFRVq2rN2kxFJABQ5PKY8evFIJWi8lf7seW06fc+8DD4TLRSaGwUc/we9Py/XvKt1de98LLrZsfEQRlJhQ8ToOhF6VH3m5dacuKEERQdpXTHf+7+018vnlOD4+VfrObQMy+9ct6fLqwKHzTOWq/HZ/dQ6Q2HJpQYLj0HKj7gRJcixD/EXohHuNe2IlE1zdeAUiMHNV3waOk98fJrO+xx8Kln/p7vmZIiOIMhBqUwE0aaO9q//V93r/6T9U7/3Z9m1xIqEtUke4meCnegl3yt4zN4qJdDRUNdRSWKgBaF//UiRnpl/okTPvqBd5/yy6PPOeWE5T/+vgnBPuf06typE/W2xSav8Y0vXHjW8VdedM6PVvvGIgstMDw0pDZC+tqXV3rLmxYLTlEQDaqlUKu3FYGqlY0GonLIySmQOiOwCzlZsbSQysaFCEVzMiPNMUUE7wuw8qVuJEvSQhZbWaypak9cdZQQfp6SlGLiAgZ1bsIOoiZhpIbhk2M8RYrRymWVoqqEGExhdWOTGYqoPHDeQBCT4gU+MpEqEiup4YLq1A2fjjCLIxYpRNjAyTFttSN8RS22L6JA0a7E4HQCX8z4BSVZZDuSyKQ2aAgEPAVGIKIFU4spojZZWN0HAqczUAhujqxUayllBLzQpYIsBReKFgcuuxNFzEYpBV4UUdldSIgERI5gqlxEwYcTIIJjF4O9pIK0ztPwgRbqFubmjjcrarUCqMm5mpzJ8wWHnZJqegWOWsQDVpJ2KvwpYSVVOIiEih2JWOQOgtSUUCYpJO58hopQgPAsIovRwRBSkVIQnQBwRLdvMHBJLtkACKOEIGdjskkC10uSVRJJCrURbfVkdbQSslNKggkRVVGKXF1NXnwh9TipIQa5smZWUE6DiLIpnLyJ9EU2c6WiRUthDQULiihMsLKikoezmQCQvRujFESBSaFRG9xL1swcVN5stS/xcXbbPQ+fdd6f+au4AGP+fxLb4J1E9X5bDfWiyRIJS29WP6659a4tdtrvvR/53G/OOGfGzJmdd6itIWKSrtZRejA6yCeeeYFfhn7pq9+57fZ/D/WGJgz3hnrFGN97ZVTRbVFxsOclllx0eKinN4zfnH72f596sa+R/qDXr2Wuenc/8Nj4/02XceRiibFR4AnuubuSqJFBWcgdVgakxMLpoFVJemU1xmp5ICyy0NR3LbPUO966+DuXXuIdb13i7W99E/SOtyy+zJsXfzuE+DaUi7/77W+ZNGEkVKNW9WuvcuJFr1R66vWYCx8DPH7uXuE3pNfe9K+/X3KFyMsV8ojgN7n8UfEbq6392IuzRsuEWoYieq6oRAmcQ8mdpDq2kMqWAhX7QkeQFFMUsWSbMpwAe6cRI2k1UnBG5LYrAq0UeIgEQk5f3JnIkOEaG05uGW0J462fx0hdJG4ltTpg4A+sU+MIQ3GyVR7IXiRvJrIEDavZpYwOZnf7yANHGgAHpmMUNULjiVMBKVCWFCMImApRR0RCpArGuFXYuJKrNrZFQ6wAUabgYVu/WYPa8KWHgWHMSn6guDu+rcW8PYtERV0sCV9x02Dw6IggqBoMBQ3oalTbnEWsmTimqLp7RJQESaKweLYjsFDyEwv1I1fqRbZVagx43uSS36URzAKJySWrDRchNTmbCzARV7TQK3tGohhhJRwchRSwWIkd4NrRS1T4QpLQcDMSH4iFLEFL4MIwOV9KCjEAkwK2aSICJLstXOwVPLAwjqtJbFPohFe34IIABXII/1CQA3RSLVEci0rFaN5eaziAQBdaDF6iTuRQMDcehKuSuoOfajC1rqiNwFcBjjgyw0XeCEEwUsckotqgJFbKY+bYK1hbfS7VCuRQw2ezCQPeEZbS1ojwj4Bz58wVbIgWRonSK72hIV4fV99wx58vv/lPl15/ydU3vTzD7+jAS22SeCVFhBXjFzclKZ/OQGzFR4oqA2iWoZlz86w//nW/Q458/oWXgtM5HkcejsOrb7Sfp531h0+t8JVf/Pqch554YU7NAdrar33/94Ex6Mdg7tvfstQyS78lExN/SsrBoN58+7+32nHP8y666qb/PHDNbfcccsxvDjz82BdeelktBTUOD/eW/eRHvv3VL6z65RW//qXPvXOZt/Cy0NggdSR8U9EiKXjmmAdRBr0eM3tQKvieXAe8oKP2gztnvk96qd533/0DPpvpdmpQKU1818r+XA36yth6q+lr/HiD76+x7ndWW+e731tr9R+u89+HHi2KiMLVUeFFz/t6qBdDPfUKNWl89Af1ymtvOOy4Xx9+4qlHnnT6USeeesFfL5nBn/IMGAP6FHgTKbUdUIKLbhJ86Y5D6cw1MnBIOqvRjHsefnK11de94cbb8ATrqPh17gjVYPCwTzz59I/W2WS73Q+++7/PzE6fEPljCWMW6c1vWuzD73sXMGpCpXAb199ku30PO/GSf9zGvTnldxd+/8frPfDQo6H2rQnnEu9Y5q1r/+j766+1xs9+/MNvfWUVTl9R9HBO0YVioagXKKJXpGJGCpjq78DpXZR7HnnmvL9c85P1tjrl9HP4G5RhKtm2MDI8PP/884mBiMqkp555Ydsd99jrgMPvf/Tp6PH9PNyZkKJGDBZZcP6VV/zsV764wpdWXO5tSy9Vej1+npg0cWiBqRPfvMSiH3zv2z+3/Cc3/tlPzj3jxGuvuPA7X/1cbzBLnM9Bv3J8+4Ps96PfL3PnlLkzP/bupU46Yq8rLjx9jx23WPGzyy7z1qUWXnDqqt9YZZhEJUmYInXjmqA2XOOgygcpmUXlocpNYd/JDTYBt0lZCNX0UoR3XcBH4CMPdMikClJVJQ0UQASyqATDMqpWRWmCU6mN9BxCLVVypvFJ0Snhg0ah4JNVFBVi2EBGeDgo4DC2mbXVlUIbeHjFp4vfak4qLJEiRTBSOLIjFnbOtjBISPKgrOQ0pxS0R4RvhLngZj5ZQ/bDndwkDQlityGcYKFWCmoipV2qHKAoSgTmQhYV+9mKTq1WHJwj1GoWWdJoGEMjaEvaTd0kCR1KBbFS1Jwpj27GSpGWuysrH+QEdw7R/AIfQCEAmdzNVJiNkA3tkoUKnhyK5itFwNk9zIJrRhQSyGCoKkNcJSUbxuqsltgZNhkjzNjZQbZLxc5ilBA7EpFhpAjOp0PixUaCwbGQULHLgE9RiDxswyIcYUMOIpFV1jJJMY/Ds+VAEapBEHzkMb5isShV3EKkGySttK4ipBkudMxAUnhCvLtRBBvBRyq8fSzDcbsTlAgWIQrj1ClE7pRg0FeHlnN2z61ajADScfQXILvvxG6mGsMckzUrgzx1kCY+YHoz5ugft/xnx133v/W2O4S/ScEYF3pRhnq8GvnwsLYUZkSKb0yvx/t2590POvHkM16bPcfFihFc8AsvuMA3v7zScp/6ON891BqUlczk1p33Pbz62pv+8tSz5g6Smmsrl01DHPYgCxT60Afev9ACU7qkclS9OOOVVdfY4OwLr7jpzoev+9cDvznnr2ttsPWs2XPJ2FEp5V1vf9u3Vvn8d778+W9/ecUlF19UlNJsDkAnoWyjKbndSRNtQ/bCxSFtKDRjlNJzz7983U133HDLndff/O8bbrvzhtvuuuHWu66//T833XbnjbffecOt/7nx1v/cZOaOma/N5td/3phK9ZbExqFgq5y96KmUGr3RMnLbnQ9tsc3O/GjsBqRvl/PBWNYNt/7rq6v+5KIrbpw5V3VkpBQ+12hDUAwQFmL6WFSkFMcma1B9C8GRYkUrhcLdBKlkW3JsmBJwsjUKc7Upgtn6CBgZiclLCI0VwQSFAIR4lxYSC8lEEIOzyUwhBkogsDCIjgMAQhB3Agu+MJYRsEAC5zezldyg5mu1L+sKByUVAib2bRVXco0Te7SRgtwMJKVrNmNIiAdYGs+bQsF+cPF7BqQK50DuDRa86HJ4ZPN2+zOAhZit4moHGXspCIT2HORAL5UGxhqFt9+YU3TWyBDKhgdBKt8rsXFh4NZ1AUtTIIYYTPgAd53pJhQByAgsYhfmQjSfUnhBhK2ib5KtTErhIqkzyaM0AYvsKIq2llVcmZZJKSGpIdiBrBUjungpLEEFbnGVR3riaoe8wcc5cmOEsKpZKBe+0yQDQWMWZQQGYLiJERisdBXNL5sCS6NsMxNMKlwS/om/wdm8sDYKLDAoOTAgUkxGsIOUOitrx2RnVcqjtbwxKLjTnRzWOAJrsl+wkBUsDm4A0CAWWjgYcPCkAwPfVYU3acHBUHmAoDEU5g7Doa6DgWbOeAULp4ITGFH5PdbQUG+05vqb77jGelv/aP1pO+5+4COPP9myuCauiCJFEFH/jxGoJR8uEZE/NPWG68jEOx9+8uBfnLzbfj9/8JEnUmyVZo45UjC75yD6u0wV776nn35+t70P3nibXc8872/PvPTqgB/NB4Mc8HVrtvpzJg/VH37nW8M9/tDBnryL0f7g8quvX2/TbVf90QbfW2uj/Q875omnu//pggwPfej97z7m0H3P/c0vfvebo8499Rc//M7Xh3sFCxXQT8hMZoj3Lu9FHpXy4qtz/nr59Wecd/F1t949a5TqyFWVVXWgHEQO1B9kf1S1n1nuuOPOpOmiGF81gwbyqcVmaGwVByhqLTVL5fdolTdyKCigjI+I0ms0FGWo8KQXFXQNpDBYCometzU0Ptw8YWo+wdD/DMyQVbz1BU5tJMoahX39/aobNt5yh8uvuraigpqZaYGpU976lqUcL7wjbwytNDqoJ/7q9PW32PHcP1/+wqv9WoaNwZS8Ifobb7COP7bD9XGF4uVXZh10+PHf/cnG31rjZ1tsv+t/7n5AVAG4qlRNnjDMl5ZjDtvviIN2P+LAPXfZcevCLRCtcQtKGypDEH9sQq0eaUcHOQAAEABJREFUIaNFoK/JJZV+9jadtuu6m2zzj+tvGVSUavokz4SRoR9+95u77bDlJz7yQYImFmzcqdTLM2Ydc9yvDjjkqKoekblHg+rbxG4/8J53nf7r48/77S/PO/NXX/7SF0qvt/xyy24/bfPdd97ukAP3OvnEI8757S8PPWgvvo/18HAvOe3spjcovQF/Cu6NDMpIHfJ/MhpDw9zHdyz95mmb/uzsU447+tB999l9+gqfWbb0+B1Hj+KlCJOfgIhwsESnUCuUhf6HFyYKr+jBqiHHUDhlAqP0tgb6BG4ZLF6Gp8KD401kATesgiFiJpOEXYxOgOG8hQTUUYIgipAHeBgbWAznwsQsofHUeDFgIEdwXgFDicgMNB2kGTyhcA8a3obALNFd8Ck0yN2Kt3UIxniLClwDhU3YkOGCa5yiExqYQKjdRcR0bsQ0IpyOVPJ+HSdlP2BihO84WqCJCGcoaS1Zyeqo2NKWgi8qSBlhTXuULNP6wLEhQanpkFoxIEOYoymwURWAyFBYlbKxBbQ8Vh2WxqUoPrnacRFOZqxIomfiK0aKNO1CkNrWRABvgAVNcgTQ4NTuAvAMHGQFQfzzeSI0qlYqmmOHYvMo2afUPZfUq+YeXkLNKgZOVEUmokEUgCmBciE0hJ0DCIIJC5Gdzs4RhGxM6nVMkYtUjhm7IvjpUw1sm10czQh5s0U2hhi+U0Qz3yKUJD3EHjkkeJqx1Rl5vdhRnjpd0+JPlTLPamnMGARDDSXa9lTyMCoGqUHGIEaee2X00uvu2P+ok9fdaJt/XNf9b/05DJVOmjjhkx/70Fe/9Pmvr7Li1778ua+v8vmvf3nFRRddsHinRKOGiFAEmym8akqBQR9kk7pZC8w/39abrPvLow844bC9N19/raXexHeesVKoZlAVvaFJEyeG+AmhZuVeZdK6ErVQe9u9tPRblvrylz7fozP8ZF1K0Bfp3gf/u8m2u3137c1WW2fz7fY48Gn/JxgkhcRYdKEFDthj+3N+c9RZvzrid6cd94XPLd8MnigRgiMBdz3IqlQEGnYeEWSFCCI+zvjBJc3Ouy67+tpvfH+tb66+7rdWX+9ba6y/KrQm8wbf/tEG315z/e+sucGqa67/7TXW/8Zqaz3y+NN8UvTV/usIqV+VbJjvmIT1XY8sIy/NGvzxr1duuMWOjz35tNRK4H5r3qAcuhoPPPTItB32PP6Uc5566VV+oRxR+GcQoaoHKyGTvfCTA9tQyG0O7j8rAoQ6M9nf2O7wj45lhxSHPdoD2BihbJfkYITLdGmuMcxofHRBKuamyTErC4GaihUpWRwxvJqxrStA7BOJEBhhIqNj8JE4JTI+gSVWU2dWW9oEgCNjU6dsnLLZeIMQ2kITI11/dghm9wad0JgMHeOBY0SJuVWKFHbGq1EiUKoXOmSiUhQYQ34fYcEXEULDnNJYVV1EZDTqqjYWBQDIKjDhgjzhj03cQeGRMKxUxJzOWWHkh8MOzdp5MDe888InAg+RwYKPSnuUGKxJv57McOzAsSOCJbvk6FjGVFMCDakNxDGLVP16zwLenm4AEDYFNcV4GrRQO3Ss7IHwbasSCylZMECObhkFMJutRGull06VjtyV1HIB7wyNEVsEi6crt4EsY+hoYTVmNgQes6lTuvdNj2PTerKCokVkNRhMZts4MFQYk+exE5psF67kQmZOcrMACTFhgDoFM1nazGTKVqeLJo0V0pg7hkSXNZLfWdXBoD777PNjbwQx0j/2D/dqiG8V3Bz8kvdHFI3fbNLyXoVCgcM8ClT8qsF/TC8ampgTpryWwzff9dB+h5+w6Ta7HHXsyU88+SzHYeBSaTu+Mf98k4f9ILaClJX3govTa7NHL7vyup32OnjT7fa68LLr5mikBl9ROAKD4eh/71tfWm7Zj+Ov8ZEZ/FHhxZmvzpw9u2KApAj2GgsvMHWt1b//gXe+rVfnlhz0Iof5NtljP1HCg42F74T5VNQY+vd9j2y67Z5b7rD3tJ3332z7vQ897pS5dSizuHAOLRVSaHUxtfLSzptvuU2MHLtq5U9td7w88xXwWWmygCkHZM+KzAdqySAnDVPxGuHfpfWC1lOUFFGEjg/JUnql+P2NSM/EYFPMCkHBXEIACsAo4aE3DgARRJMikwu+jOTwfPc/9uxBR5+47c57X3fjrexBbxhDETtO2+TwA/b4xpe/MHF4WHIMtQHHLbrp1jt22uug3Q846sEnX6hDI0nxoaiDL3z2Exuu+yO+BEcDM8Gw07mDOqefgyg1erX70EiC1uU//ak1Vlu19OeE/wY4O7LvvXFRr7eitptexBC7413TErXWicBFyaya5d933Tt3tC8r1UZKOWlkwo++/+3dtttoi3VXO+KAXdZZ47tT55+PWwexhZq1P6hvWXKJ5DPbPiXE0SjJg6noIagOkyrrCy+89NxzL77rne980+KL9/v9e+978OJLrjj793868/cXnvn7v55+7kWnnfvXU8696NRzLzrtvEtO+f3fT/39Jaf+Abr0tPMuPf28S8/4wyW/Pe+Ss/9w0V8uvuK551+af8qUa2+89cK/Xd7XcEZPpZiiCBqvP7wttRHouO3shx1B9MbW5GQJvWyIhpw32dQJzTDmIeC0K4V7ssdUG1jbSmj6ks2XacyaqhgaGZWkMwRrC40Op6YkDlphHUNbwo7kMlmaMD5RAGyHblWJWaXpsBE9FDgRhaTMWATXliYymQxC2SLJMewWnjJ4PgXXwZjF6BYnEiaAnQJeDDI0oldIajZP1QqiY0Rvhmepbd1WVGwcDQ5GpDeCgaLYe21ciBQomi8bc0B6Jo8GYLK7/UFa3S6r8e14C/iyNBgsefGSfFPJNWZpVieTB0yrwXDwZIUonoKh5p5jTOdPvhAYHFAQgsjwjQlmfJnFg9ckrKQACSMSEMxmFF4MYbPBBQp7Q5C1FQkCC3NGhEgKwI4JXB7RmGznMJuxRRnjrDGKK7ggNmJAkgAps7L19BhX4NLSYB2vROnNApKNSs6N/VGYrCRkdl5JZmu4UDI7Dhu3A1IzWyVb0VvHzpCSvhAPg7GWxkLx4qEAqe//9EP3P/78X6+69aBfnLrpdntvsf0eRx5z4uNP8bN+i0kwZa/X++Lnlz/i4L2PPniPow7e9cgDdz/8gN0O2W+3d7/jrbxCaAPpRLFRKCaK//V6XiIwiqShfPcybzts/903/ekPF5pQ37/0Yjtttf4Jh+/3tS+tyK8gjZBKKV9decVvfW2lXg5UBxU3KhfPFEVkTfbAfmrJ/rZbbfLed72dj4xe4NSuCH4l9xKfxbP4S1p0wxURNrT+2qt/ZcXleoPZvTon6pwJeJIyXKxXMH4lhlsSgQZiCfw7zqlrrVnbjxHo5hHv85mz5swwzZ7x6uyXX31tjF6Zxa/8XnplVkczXplVa4sijhV3uzsi3qZPj2LGq3NOPu3cbXfZb8fdD7jzHn45SIauPGb16KVEaYlr++H6sSeeOuyoE3ba/YCHn3xOQ/zykQ8mjDVrG9kNftyS2JUltUEMERFSBqMpZRGgC4yOF52GQ4Ne5ozMsASXEWqFd5YO1s5ww3K3w8iEAc1d5N5Z0QRMkDUJACNaMywN08Vku6DkyzExBq0bL68B0f0PEZL+JP7Cry0drgvCjK4R6ZAI1kn0B6AdCaFuzOPcb7qB1gB2TcXd7YOR21DxdyDbxeBeNFOLGeRCh90i7oCxBptqXIwlAgDSIRyO+nECI3PYNG8EGhTeqe2wsiN3BAghxyPLZaDCCpaUIhNIL4QwvkEpqz1qIIhlDEvgSC1hPKxjWWUnfiTNDP8AHdwQLDVwBZRBq5qV8EAIg1ViP4JpVu9fmNWG8VRs92gKsruhAPgS4JcJikQTTuFLYIGG2qsGnxBgI2ST4U7RWTOFRW04Db7cyKROrsSIC96pEkEczJ7lT+pIDE5IxGLWltIiWRJxKR4AnBhZE4Gfq9ICLS4ZANIvLxwSKRUO4EBogIklZBR1dAgYqakISOoUmgxmqvLCVbDLP9CGAgO1qzHklwcBi9DU5HXVH4wOBk89/XytOeCq/MCKXo5O7FD0SnEEnLmjcL0Il9krZYi/3UTpSUWBoRRmFTtE9Hr/uveBVVdf9wtf//7qa2902NEn3nDzP2fPHk3awpaTryk1VRdZYMo+u2z3q+MOfdtSS4TGR3aMl2eff/GCiy7baOtdf7LxDtffcf9oDGeKt//7llli1203/tB73/m6F31gY8nNdTmEiLBx4oShNX7wnbXX/M7kkV4GpogSrVSY7AXROElisE9FT2XouZdn7bTnwedd+LeHH3/yxZdn/Ouue39+9MnH/eZ3gx7fOrhzrtzZiiusEU8/98L9Dz1ChHmUmTfcfPuf/35l9VcLn2/KTlzFJ2UdGqq9oVp85wGGIuwYjGKeXaCIpE5Tr4fB3c/WO6CZ1kQABlDYDX5QBKwiJEhvGPZ2cq4ojz/90nl/uXSDLbfn13tHHnfyfQ/9ly/bbwDbefutNt7oJ6t99f8+ftyhe+2507QJw4X9dphsC3U/8dQzvz79nG+vvt4fLrq6Dk1KRWSdEIOdtt54nR+tNhw+gI5FfUGZPZVQBM8d1YQUUT/8wXcfdcTBiy48ldNmJVriKlujQICBzZYaGwEIIQmegNFWW8lQfAzVkMymyRMnrPuj7++x/aZvXXRKb3TWpz7wtv132eqQfXZaavGF/dprST7ywff+eI1V5f+9rBr9WvqDGAwchDzhihwodN+D/91h172n7bjbtjvsut0OzHtss8OeW++4x9Y77rnVjntO22nvbXbZd5td9ttmt/233W3/7Xc7YPvdD2DeDma3A9Bst+t+2+0GYJ9tdt57m+l7bbX9rltsv9sm2+z68qxRlWHFUJZe9oa4qaQjLXvz6xiuBBp5n/Sh0ht05nh6BDw5EGIULgij0KQK/8Q2cMhIOLZCELMcXaODpwSowLoRaDMUEdU/D6RCUFIEWPi0CDzRChQXBo1lUfBPQXkFJtxcbiGRiW7iHAQFuBIHIJ+oLWow+8nLKJXsEjVhDAasPRKdhNB82Xg2HFnUDRKWbEqCkJQIAZzAYiOkcBQZj0XhBqiNELAQP48UOFdZkRIllzWFlF1ksc2WAnWm2sAaIh6bhVpRGSWFUgIfDhSynLRUUgTlOU92vLBKwKxTC0J1ofBgp2JElUJtM9lyKIiCQ0TAsqUiGBqOQyZ9bmC5AO817AoqFYyC0e6tTqM7RgpXUVoCJqoQ7ysWAlJzimErGpEiko5HSBgST0fCjZOKDiWyrTgl6gaT0IR9XVV6oioZT6lipDopvRHzVjQnGJQqka32DgbC96YFIKWt7XbJ6QhtLI6cSOJFgDNFiWiXUVxGqRVjK74QXswdCjSRmV1AM5A0S9gnQAmYTbBhc9INZTQTefFNHzDgVoWHSmn+8Hgl7bWJdhP52Rde3nnvny+/0ne+8t2119tix0amiD4AABAASURBVIMOP/ZPf7n4gYf+mzXBjlEQTfyJ/qC9d/rMR9/79jcvtvRS0KJve/Pib11q8QkjwyKmQioiRSiKmV6vQEi0MELzT5641urfOec3x6z+zS9MHclejvYGc6cO1y+v8NFfHLz7bjtutdjCC4W0yEJTt5+20QKThqKOEtYFELxWVR6t6qq42P9g9O1vftMJxx3xjqXfwkkkPshgsKhVEQSjLdlTjvRiuy033H7LDSaPlF6zthYA4H6EogSfv5JKgYK3YpgRNykA0IcMBPpMv4LcFS3w/yXDmgZwW/+/pogYd5wHFiqATS6PPfX8rvscfPZ5Fz7+1DOp8OjJtQR/x1vyvHNO+8ynP+YjGdFampy+F19++dw//fl7a657y7/ujt4wXpUiMx0z6Zn7JqGrlGU3tYRZ4cM8e2nNoNcE5ZxhKHhztgJHtRdsKqJZic0DhUgAAUlKMLopC8quZ3IybOTFmraiyYJLSsCscVWFTFamwv8ysUJEDltgyZhqE53HLHUdyAogSZc4whpqHNEgK8PapMAM0glADZgWLcR+SO63SgoTU3IMUI+ZDAsskueCiK9YQLo8B5VEmHC+VIGnRIKgoBJsUCbqlH3JIinEC9Bo2GKrqCFq0F6JIEnDm7ejVmUNlM01rNEgySwGPcGnEDmQIGqMWqkQnkKkoDtUHNiDsHYnF+5YgZlPVjGKyIIvLOeN8kJB0gSMiveJZyDBVmCx1QhmVGqXJ6cbc7I1RAwCWG2+c0UZGQxlpNo6YC4hJw7iBEMSm/PeGqagomhcOh9EMSKYxJystHXcKHyDkbwZzIt9WBRTePLV+kdPqBhvcaq8GOFo5iXiKIVOYy3IkLfWxJTYgsVgNVjkowy10byAKIBxUYNaY7FmosVmTFYUUlBYKYFSEkurTIXmNSEEgBpT3agZQdCQQjB17D6SQSHhnKViB04u5ejo4LHHn0CiFSh4l/77zrsvu+q6uYMc9K1WBP2nAFYIpteT51L8Px4Q6kUWDpuiUJP/rhUqvWdfnPn3K6795533P/7E86/NGk0OJ6lr1sqPs2IsNGX+rTf+6To/+Np3v/zZW684f+N1fjh18iQCUGMEExBTzXz2hRf++Oe/b7L1brf95/4sPTDDvcGKn/nwmb868msrrTD/pEnDQ0PEpn4cimgzhfUmTxxZfJEFD95/t5/vt9uC808c30lQaa8QI1r/UqSCvBTuO/Gvvem2f91576BmWElIvfLa7EOPPq7PmQkci6xP+X4QpHfTrbfxGzXERtFmPfPci7+/4O+PP/UcLR0ZHh4ZGjKNDI2MDE3kk6ZXgwe7g7bSYVPBaYEhKMRXCGZuHrd20nCZMml46uQJ80+eMGXyhEkT/PvH4hExJBW5rgh8iaG2mm9XUmc7SKgHWY/8xfE/XX+z088897+PPDbr1dmU11Bj0/BQj9877r7jpvMNDUZi7pumDm+94ZrXX3b+Rz/4vuEhMhHj9fBz5o7efe8DP/7pZtN3P2AuH8FBIYNFpk44YK8dt91qo8UXW3DCyFAJfm9JoeoV2peqg+FeTplvwprfX/WiC36/zFKLcBLFmaGvEUUKeRutEd2TEwx5uDccNAkInw8aHwXF0FAZF0lUFpx/8kF7bH/IXtsuueCkEfU5n8M5WHhyWev7X/nbn077+Ec+OGF4iOOxwTprLvPmxRVV5OOc1RAcm1A3EIVidLS+8MKMF1969fmXZz7/0isvzpzxwoyZL7w084WXZ7z08oyXZ8xsM8yMl19+ZcbMV16eMeOlGTNentnml40BYJo586VXZr5s/MvPv/zyXG5Mb0gF4ueQEMeWMmgHG+2F3jCiDSrBA7bARRlDeAnxL1KYBVvFSJ/e4Kw3vaNK+Ib43IiQCiYumAgOWMjDDMZQeBSruIgQLPJbFl6KLpM8bAkBx9ey1KSQBzW0hWJCYBCiOUcgix0LEdZzRaQB3kQAxNIWKdpgaRWIgSG54IQ6uSRRAO4ukMe4JE6ckmKZB8BWdg5MwVSZvb6+kQpCwgln4YgIIOXhsIEET5PD1lABnFZ2GXj5hEKMCBBcSp8njnbT1i4IRYIqYitWFwTzPBpwPvCkt28LGpQXiuAGySOk4J+Lwk67xKC3SjBjZA31Ux5cAC8kzuaCAkoFgz1kIJHCS+MAYmmUKJQK/pkjG2hmZdQoqCKELSOCSBLQlCq50NMjKdkpDSAmOCiw26UdIkUJdDyXAimBCkmhZImgeFbCIDLTq0boZBP5IwLHhodRMCQWiT6jVokAJgZLiARSYFUbxLUGE2Km+Za6GAMMbYiYYzUrU4FOAFvwtMAVCslChMgXJayM4B2kNpAjmZrAlBmGw0nBYJbgSswerQ899vQ9Dz7y6ONPPvf8C7Nee42ToC46S6MJwyNf/Nxnzv/9qe9dZqky8P8QvAb0J4hZAIQDKfkUC/HjEYnC/rx8J40Mzz/fhMUXW3iDtde49M9nn3D4vh9415sn8OIJfs/BDwN4Z6n9JReZf9tNf/r7009Y4VMfO3Cv6cu8+U3sPGtOnDAy/3yMyfPPN3HKZGi+keGh5MbzswKf5v3Zn/nQe845/aSVv/jZqZP5fGNfWXo98sJRF+ykkaF3vu3NJx5zyF47bTX/xOKzEX7hZqrX64EBWRSKwKswKUJCQxPMgWi9FQ7IkLMPsGL5fyffqP93C15ENkU35NiBoifP6tfBK6++WivulBMRPWio9N6yxGK/O+3Er39x+dN/dexqq35t0oShHk5YFSVKf3Tw4EOPPv/8S63wwHkeRSjEGY4IBcMTt0cSVUZI6iZlMBKJGmlwxQRJaDBUQkiK7pCbURTQahuoasNWlGwpUjCh8KgsNI/O45JWps+NrI7A2hjjHTBcCZqQ1F3E8F4jkIktj+R4RZFQyqsYoaYICXUQB4ykcM3ghYiWJSIoxqLUrJQLk5RnrqbvNRWLgGBDHhWOlTlQp8zYUhQKiB9F2xKEgGq3R6tCKeomqjLkQYspABuCmZLR3JjRMBPAcxA5qQplKydh0OPC7SAeDFbA1st5YEhlPy5rkCo7ZUdWCJUCLlxRYzyh6oKANlgonIt6MXcatcFXCVZnigg4EA0oVUpCgTLcElheOEmgUPDEMJkxnsKV2D11QfCQJWWgbxMFw9pcs0W2hQsiFOiQjcBgEqhVrNGxzIWLRqOXQuEGK9QGC1BYGigrg1rlugQcK9QYd918pILeJOYwnpWiwouQKbEoLAZLRCi5QgxcWpDoNOEGuirsMmyMN4yMlipegczW0iHCA0GtxQSz0iB1IJsyAaXjERQKFUkogstcasaMV5559jl4KNtWX5w567Szz7/73v8usehiSy680BILLbDw1PmGh8Uv33kxBmGg8NorftP0SosqVQ4dUTBJw8MjLVrSQVfPO5tv+0l9STnveNubd91m4y3XX2O+Xn9k8NqUMvugnbc45RcHfuULn11gyvzpDRBonFJDQ0Mrfm65d7/9LXySkKekehq8e+klfv/b4y8456RtNlvvG6t84bOf+cSyn/jIpz/14S98btk1vv/NA/fd9eZr/77Juj/uZR+8XDP3g83nEm9a/MMfeN+H3v/+D37Q9P4PvGfqlPkI6zqlV2a+Ojo6Kqk1g9U0c8bM0f5ouvYiQvk1JiT1hq+59uY31DuPzauvvfGSq28aVG22wTo7b7v5jttstsO0zbaftsW0rbdYdNHFHIoAIZ6BcMCQuxhitAaK+5eUwJ/Cej/8wXd+fdKRvznh8FOPP/yUE47cY+ftln7LUhxcPiH9f/zF9uxXRZzO16K6ke45rEOViPnnn78MDfGj0Fh8nDDiqFhogakb/XTNvaZv1ht9lZ+DAJesvcFrH1hm8QvOOmmLDdd+y1KL+3NSRmt89HrlzUstNTTUUymK4DvVQlMm7r7TVn84+9dbbvIz7sVHP/ze97/3He995zIfet+7VljuE+uts+bZp5107BEHLjzfSKmDyOpXfSto/vkmv/8973zPu5Z+9zuXefc7ln7nO5dZ/E2L8Tz5CLnh3T7ZG6VJ7LSdN9IO9YbQThgZfsfSb/3JD7511UVnb/DjVYf6M0ud4y5WfsxO1X6MvvaOJRf++59+s+NWG66zxndW+tyyJQacxqGh4er4MRC1uDFc8iOCl2rlL391UBmiW7W2MqJQgXDmHpGbYsTwDxAspvQkEPIIhiIgai89JiIiiTgco2QTGBsSR59TiZnglGANmSQYwIJPtgTa9loDSwpLIKNFBMOcDHPpKQgYQN0RbG3B1S7Nj3RYU22TLDCdbEdHRWJhi7KVCpAI7BwS2S0mCq/IARsYONZtER1FZSJFpDxS/KxnMGK1KVwXApWmXF5jsvlGEEjeubMlx8IhnELZcThLNBedISTBQEhbgwcGPRRAsosoDyyRbL9io4YkhAPhjTXRNE/JODEcMHFIKkR0JFxCKgr/+GsdF7BkabWFMOVYVEqDRWhmVqy2U4I5zCIjLKS2X3nwjOAQhKWytnlEkGik5Ow2R5DYsKCOVlpEcOudBj/MTtOOXQeyJqRGdKB2UfBpupoUgI1IkckGiRFsKRVhtUFJeq9OwWdBiH8JhgeFYFhtt5NkEzAJhpOEmSj0kfANJ5GOKbBAChqRIh66MXJk2Gal4/JuqVsChy2kEmNBAsY4EYEk4QEfaTAMUJHAXKgDqpmCpVHipuDHgaRCTBYTixPiYtbbqR2DBhtIGHpFt0RFjlFaGowR4eARngko0Ha2yDXOanygkyZOGPnQ+9+z1y7bXHDOKYtM7kX2RQYuo9hNqNdTexm6LhpSVc0VZSy++CLTttzogj+cedVlf95px2kLT5nC9zm+1z3w2HP3PfHc/U88f/+jL9z32Av3Pvb8g4898+BDDy+0wJRjjjzo05/6xEOPPvng48/e++jTn1vx8+ec+euzzzj5t6efdPqpJ5766+PW+tEPVDPCxTl97X/gPW//7aknnn7KiT/76ZqfX+EzH//oBz78gfd88P3v+vhH37/KF1bYdYetL/zDGT/6wbeHSy1sOjPEav+3L/O2T37io5/6xEc+9ckPf/qTH/nIR94/ZcrkJDpdA0Y/vBGOnhKe/SS+9AzfWHCBqQtOndLRAlOnLDB1/gWmjNP8MFMsopw6ZQHDpoLnM26RBacutOCUhRdeYNGFpy6+8IKLL7LQogsvUHpFJehoKYXQYgSjKFBoZKj34Q+++7ijD/roB95RBq8ts8TCR/18360333DJNy0WOIXR802euNvO23155S8EHUnXihZKCm83A95UkWmB2CK7QWgbteiN4QeJQqRuEsMhFRHirntC5QxcgHGriQVld+xhxl7O5kK8RWGcTGmG7nkJJvuyhg3wkJUEQ0lJzmsXLggTxH7YIAyoDg8/z+qb1eJXz8GQgzCBIovj4p622psLsg0NRsiNkVeu5ou1Ugy6JoJn46KPKM25eqoCxqc3m00BFbDwKjU5ihgZ83TNCfpIAAAQAElEQVSFhGigDCZTjuOzJWqTMoQT5gzHCLhxz0TBZqxJT1yuKlTkkdToGLya0XQIgogDhsBTKhZRM5swIRY2z3mAM0k+9y0jrMbHeHTvm90RhPYkJwm489s1EzfqprzgMNhKKVYKQzZL8y8dmjgE6TIYTOkOyBXUAz6tZVJWNLIyu2JhjSYOlWQSnhQpUogPAEIGx5Ml7WQruUSpXPhQlaHWh31xS4FIUV4YhgYFKhQo4aNdCSQjEAJYlpCt4QmZnK4TNyiTngUMe0wxEhQymuSSi2CFV5KFxxUWEoG4QqG2RXhJiZisKJldhuxlbHig7ExCEizUvMr9Dz0ye85c7I0cg58ibr3tjquuuWGX6dP23337/XbffouN1l1isUXAZ4R8wPgjBZ2JQIKkogh/7/IcCimG+DMIK/0VXzeoXvRa0gJT5vv2V1Y6Yr9dNlr3hxN6HA22T+A6UgZf/fwnf3HgTntsv8kXP/upSSMjesN485Jv+vqXPrfAfBODPSeXRqvufeC/1DlxZML3Vv3GTjtM22OX7U/91S/OOvX4351+0snHHbrJz3685MJToz+ndEei1iRbJutnPr3slptvsvVWm2211abTtt5km602fd973gmKeqPWpd+y5Pzz89XrDemlzyz7yQkThsWDYVChYpsjZs/t33zbv8x3Fx3pGOnlGTNPO+u8x59+dqP1frzTNuvvvO2GO2278fRtN9p2m82WetObpEjOYoqPyIigg8RMx086BXEPZVXyNeYjH3zft7/+5W9948vf/voqq359lZU+99mpU+fHyYB2RUZz4TlQp0cNhdATMMUdgHIw1OtlBn+xtJRAfJHn3e942/RpG0/fav3Fpk7sUVlvKLij4U+envpLLDJht+02PnS/XVb+wv/1CKnAs6NlP/mRH6/xvVD1h1L7Dz9eeHnmXffcxzefH62+2h677rDTDlsfsv/uJx114K+PPfic3xxLkC8u//GJ/IhdR5OiiQTJERdeeKHNN99ki80abb7pVltuvvKXVspWoDsDmMY3pHg6opdUV/h2F5/48Pu/ucrnp23y0+MO2f2o/aa/562LRP81gFmGa28kRyYPJkzOkfk0NCl6wyPDvW232mCf3bZ921uWzOgpyrvesfQSiy202CJTFl14yiILTll4wQV6hZr4vSlUq79rDbLWzOTxDTHzfWtQlIVGOQ33slWpsYFzKBAMZqG/zbe5JDegZM6dw/dAG5RiN3At+Bjaz41ZctZQJSWSI9qQgGWVFTGePNAGE0u2gAjFxk6HP+nVhIIALDiA8k4FtDGsEVgLV+ArFIJBlMJQT4EYnFsF1UQIkWhQiKm7omKlyE6iIHGzwSNDHcM+YOyESuBRyFCrzEdSQ6oNdHAQ2cgJDKvTIRuAxQpgSNmCAYMQvXEWfNA31bzulYhWQ5TwPjwXkqp1wMFsJTAoebCiNQWx7GKNeXKmEdxpL80aYuG+uk/Cmo7mojXmhWwIJsy+a+gFwEEqLyx4YqjBWhBgmGUoNmnMAoOLw0iKwId2a3yXEvuy0pd5tVEEVAzfLHxDIRnCImQEgy2RhiVcv9NLXUsNIi/gMDg4qa6ywQLOnVTnUF0QPNSKt6v8Jm8MQaKlTuHXAC4EMLLDh8yIyGayTSBgVIPd2ZpUFTAoA4ADiQHMpFaPVFGlgg2E80TIi6ywBVFGCjVXCQxqSrdrbEMozDmGPEoIVUrMSvFuJQY6BVMElUglGBiV0anlEZKtgVlyBktqI0IaHuot+/GPbL3Zer885qCtNvzJxBjtZS1SRPjilPqeyIKkwEQR7JCPOmZR+0JT5//SF1ZY4dOfOPrIo7fedvqWO+6+xQ57br79Xpua9t50h3023mFvaJMd9t5k+70222HvTbfdbYttd9102s6bbLP7xtvtvcm2e22z83777H/ogQcf8fPDjjnsqGOPOe6km26+ldeuoqUN/yz5rzvvufqa63lHfusb39xs4w233Gyjnx+458nHHnbaScecffqJO0zb+J1LLxF1NDjSmeJfDabMwUorfX6j9X+64frrbrjBusw/WfOHSy25RLAVgktyNwwMhUf7M3GkX7yThmPvnafts/O0vXeattdOW+8zHdpq751Me03fcq8dt9xr+hZ7Td967+not94bwC7T9t1l2/129c8z++++A7Tf7tP323P6/nvuvNtO202dbzIp5FF557KSme4W1fkmjXzn66v8fL/dvrTCp4bUD35n15+z2JSJO2+76YF77/x/y3+qVzTSix+utuom66/FzxuUR7FEkMJE+eI0dNtOsW/uX6oZMyMUjOTew4GDQQNlUYY8KAUGIdPuQlagKVwQvsyQ7Gtlsxoh4/mU4hwo+KcxJZGpAwFfMBKJHZXFYsoMjwU54QKRhRmDBaAQQVA1sgQi1BhQ5OVzi3pN0TBom1UwSkduDMhuhcEdK3lFaXD4WUiFUCQZ0KhaYEchebNhndDBBPBgTaZElep80sGZeNGhaZTAYJKreponW2iaMf8WASVHF6yJ4hMFhjEniWDwqeK5nQAxzEjBwCIpXIaVEThzyYuFthG3BwbZhC0ykEmVKPBGBbXjgzOEhBoAs7hK0AC1QYXWd10cn1E21ke8c0+8TM0HW1IRfFoXwQwXKCQkUSHLWI6Qecmb0vhw5LTgqbsSXFjVXcniiwUCzwPCzJFA5OZKHTjHVo2NSErjYkYD02CsAkglku9ak71NsZmGUDBE5caJQbJAhmtkK1g1ld1RBN7AiANnY9oaFtQN846ZTcTQhE5qKtEWQtgSKoqh7A1fd8Mt4wjrvXFpbr/+9qxzl//Mst//1sprfPfL3/zKF/iFkGpE5eObN103t/wcA/x9gNLpyACFgp/FKNWkbkyZPOnrK6946D47/3yfHVb+3LIPPPjQZdfdfPG1t1109a1/vurGq2/659zRuW9dbIGN11r1yP2nH7TnDp/52If5pMG3lLLsxz60/Kc+UnirFwL75+NXZg+OOum3m2271ybb7rbJVtO32nbnPffajz+UvGnByfMNK+e8Vme/MhidPRidMxid2x+MDgb9jvr90SuvuuaYY0/4xbEnHnPsL4869uRjj//1fx95rOYg60D90Y996L2fW+4TPTeT5KbFF15oj12261X+CON70LZpRurd98B/n3jqGYO6i/12DHbphptvP/ePf1FI/bkxOidGZ0d/jgZz5ec2IzL0Bod2T50WvBcBKMF94q0r1e6/6eRva1A/PZrzQHQF16xJ/Vzwen1kG9gGtd/XgD/j4BXpG2gQqfiY+dlPfnDCEftutNb33rTgfIVbXHoiedADfofKJ070ap1/JL/z5f87fP+d99x52uKLLIij+IXryBCdWWjqpFCISlX4Yn3p1Tdsykf11tM32Xzb6dN3P/GEX8186YVPfug9H3z7UguOhGbPrLNfrXNfq6Nza3900B+tg9FaB4NBffqZ5391yhmnnnHWaWecedpvf3f6mefc/s9/KQo7olGcV+qWqJ3MEeijJ3/m9/fbfZsj9p++y1brfuHTH57YGwDJ4UmzY+IdDzx55oVXHHzcmTvv/4utd/v5FjsfuMX0A7bZ5YA99jvi6BNPP/nM8y+++uaHH392n332+PUvj/7VSUecciJ/PDxq+nZbTBgKntysnOx88xKL/Wyt1Tf46RobrL3G+muvDo0zP1xvrR+uu9YPfvqT76/z49V+uuZqMNC6a33f9JPVfrbWaj/z/P311v4hXusTZO01HOena6y79up8hCcJvBueuUo6sU9uFEkDDkrSs1VmkDDjFBKk/xkGzVMUvQEAlL61kGOTxkYySGNpzL2MrckzjIXC8EZwR1XRNMLNBxgTabBmi8CcyOa5xo62NUTBDQVqiKPXYOn9MqHqyPHgAnwjeCCwHQMPUxzKjUHPi4g609HwRYEdSpDsNLGNdRV8YghQ2NhMZTMIrf8YiNnmFsLg5m5Vu7gpzdIEm2lA4x1snCEB6uxyjCu7NSKoJUM8IdFUXXx3oonjk2OMA8Z1LQcG5DpWZwehEHTN0hRvLLHjmU2UxZbBQua9jEWyvlIbSQgE/Y/NVivekAmxIwJ3jNx+MVyEL1iIuxi8vxwCd/b+ugnrGIGQAgtIUJKFaPWg0fjoTMzjBSpsahOVm3ceWABQU7BD1+joyGNabnjzxRVNi+gprTSjllvdQMF9IipoAIidnsgwdPJ1TZM9Yaus7J6Z+9tBCMO963j0jbLNPKmEDvEy4z0LDRUN9TRxZOi971x67TW/f+LRh5xw5P47T9to2Q+/Z8Q/KQ7kEVIwxFop2bWIQvmM8IcBGKejFpK4CXxy1XrJpVdcdPGVF1/+j0uuup5X9OX/uPGKf9x0+T9uuuK6m6687uarxunq62+++vqbXhfRX3vjVdfecMU1119+1XWXXfmPS664+v6HHw4+I0xFpYwO8qxz/rTtDrtP226XraftuPue+5zym9Pr6NyPfuBd73rrmyZHrbNfq3Pn1P6c/mh/0IcGvgaDWuvll15++OFHH3bokT+HDjviuBNOfuDB/4oXu/dG+Wyro1RprzEORqMSsfaPV/vZWrxdv7/+Wt/fgHfsOqszb7j26hv9dI2N111zo3XW2PCnaNZYfx1e2u0NvPYP11vHL23e5+uu9cOfrvXDdX5i+tEPvjNx4sRUhHynsvJFkM/cwcSR+MLnPnPEwfsesOf0zy370WHM7R6GFLU/qeTq3/nqkQftufHP1vrW11beapOfTQaRg0zeF2qDY5/cFni7sJhIIbEFSWjVBiJAbhgSDB8BZnzrWLsI4yd8XAkMsosXr0Apr7Lo9cg4o4RAMBO5wZGESfJJRRP2aJPGBoc3QNjGNmweM6CEQy9+Y0icJKwlWL0Oi7Et6f8xvHvisjQftQL0+mi2edaGmTexdefimUHlouyGxgvtwWyO9iOYe+NlmCvtqu/qJJch0aXLTtlpxmIhjIGEtetVw+Eij/TUXVhNAkiSN9yGDmtkqxnGhYAFZjQKjY0GgG9JPdmX+rzkuLEIDaBOASp4MpCJSNMV/BMI1hY54RXYxeulrRIhULSo3DY2C5Knq0FhE3wNEGZYAfK5O5aPNOLha1Ftgwl+TJRguFJtW21inxbti1YZ4vyVEEr6kyn8idWtuNcIaxJwhAiRFTAi5PIaHnUjkAQkiKVokc3xye4lwLZgQbauLV3UghbKZELjo8KOillfMFgS9wLSPw9hhbBRAbGSWrI1HC6i5FgcTGBMBrCGRDC7pnhzlzIy6bKrr00skovCoQlM9zzw8Lnn/9kHtz/K25LAeJbBoDfol/YyciO5S66g25wYKIkO9UoYL803YZhvTbvvsMXf/3TGyUfut+a3v/S2Ny0kxTG/POenm++x7pZ7rDdtrw233Xf/o055ccZrJTSi+t6l37Tu6l/77Uk/589f73rbUvNNGPnBql+ZOt8Iu0oecBYVbtpDjz51+5333v7vu2/9J+t5HwAAEABJREFU15233PGfW2//99w5/RJDUk/RS9qgGAQ/eg9VDdcYGqhXYzg19PiTT99y+79uuf2OW2+945Zb/3njrf988aUZbR81VKdM7O2/2w5rfPcbwy3WB9/9dj7tlv3wu0v6uxZ9yBzIO1YtQ1ded8uzz7+E+P9GMbc/OPSoEx556oXablwYRMvIkmpCN/POomM2EjYxQAqGPCsUISzh/2HIqlo5H/QZ0iCtIyTa2lfNHFQq5DbioPCKotZBtXWQA/4a4/siZZH4yrThT9e46LxTD959mxU+8YH5h4srwR4lImQqQidaypKlznnXWxbZcv01zjn1uJVX/Czw1Vb95mc//XHyREQGXtyXePr5l27555233nGn78s//33jrbc9+uhj1FNVsvD3rKFBcCNKaggaZOG+mGJk5qw5t9xy28233H7zrf/kV6c333zLo489LuogOvF5imhOUFhBp5DzUWDqfe9cZumlFpvYw1RzePJLo0OHnnDWKt9b75s/2mSrnQ/Y//Djjznptyef/vvfnPmH35z1h1+dft6xJ//2oCNPmL7nIetuutNXvrXmdjvtcds///OB9733i/+3/Mqf/8wnPvTeniqbkqi4cgL32WnaAbtvd8Du2zLvv/t2pj133H+v6QcdsPtBB+194H577bPnbrvtusOuO2y76/Tt99hlx3332OmA/XY9cJ9dD9h7pwP2mn7gXtsftNf2B+69wwF77bD/ntvvt8f2B+6102ILzR8aRAzEbRvwCZ2s3Nkga4hdsnoJcRfZaVt9b2E6fVdh0oZEEUy40CEH4vGwIpUl5H9iRkmslKoY2LD6FJFVzeCDnbaiDT5seUkCRQOPRwUElrzB7WiFoxWtYiEPMxRScbggI2JGUYREPNzt20pE06lRdmgx0HIubIgA2pC2YpK1CuohN4LEzaEf0eyoCYQLM8TDjK/3C6wBUI6tCYufDeRAiZCgUbRYTJ0SBcTzROlhr7Z3bIUdsairSBIuSayIQmKXZ0VTw4gruSAC0H0MKeA0lbBWy8NM13Ak74RolKokG2h8sSY2EY2tOY8lLhSGJVbXGawFF4rBKMQ3fmbxAy6ZbaBpuBBVTocmCYSvE7T9oTIVl8aFVUDlkb7JCKxYSIYTiYptrTK4iBC+wUgxBUhJzI0aouWhvLAaG77RyksEG0NS8aMhNDQB0YylbIytIcfGV0gK+3EFHDVzB2vNikIqxgklrriboWOQEjAT4dsxZ+XkAsEtEWpGhMAwtxVspEqnURuRWNQBMDed5N5GG4SCjFHxHG0ywv+5x3e+sfKO0zbed8/pJ5945JWXnn/JX8494qA9frLaNz76/nfMN4FX24AbGUHC/w9l/wFvaVWe/8PX9ewzDRjq0DvSe5Oi2I2aqIk9SmyAilixgUpv0ruAiopGrLEnsaCIsYE9MbH33kBEkWFmzl73+73Ws89gfv/39/+875p7rXWX6y6rPM/e5xxi4qWstdgWohe5WOC0+JFq2pTPhyYSda4zAIp3f2FakFGFEP9fqZf4vxC5VBNPFBrEozBMeKv/8c93/uSXv/rZL3/941/88gc//tl3fvDDW//4RzZQ4ol1c177zXM1zLW5xdNJqE2WtmHJb279w/d/9OMf/vhnP/rRz374w5/98Kc/W7lyVV+d0jiAUFajxluJo+CNOXzkU59949vf9+a3/ct117/nuuv/5c3Xv/fat73nDW951+uve9fVb377a990/VVvvB7m6je9/XVvefsb3vquN73tPW9827vfdP173nz9e950/b9c9/Z/eevb33v9O9/3jnd/4N3v/cC/fODD7/vwR7/49f9euXqeTVm2ZPFD7n/flx9/3L+97x1vfeOVT378o7bbarPsu51zM59ipkKrTWr1Xjtve8arXvzai8/cdYcthlrDFlOlFhrlwo4rkOIlBHJIBOROOodXaoLxOMQHTak4Y4I1GNbetyAIBS0Bw9jnBStytIQCEiUxmkmUpKPFpK9qRMYTFR/4ZaUVFoIiFOsUL1eCWKbFPHZn8gjrPLItKzSgH32RGx2SlFyd637V5cDwE428lBkABSCAgsEQexdio9pMdkbyIGfPpgUDNhq8srrBWXFhzQ5gw2VEwYiAdLTjTioCVqkzQcyYytx7TAk5epgpK8IE222iATdTtr5bh0hUlaliSJ2mqrKGniYvuZFRdRf3BbSgxdAUF5XJBGuRWL1lnwWie7NITKBAuwuIuKAxEw6pKZMqsbvS3cr5ihjuRlm2JYtiqJDRUu6OaEjoDUdiJrKXDK9UZbUcN7ykwQwhg3BvYRROWFEzapCs3ppwMUKRpZhHqhiJHGugFSYrEFJgzNbIiKUQBCu+g2wmcZdKYbAuwMAXfpIWcvHpWhxFcHS0WJwOTh1eKBHIRYo4SiKTUg850GNF163MxZeAQbKowvwYlLsztGHy89/c9vX//B/11j0AdUF8ja8LLr3mrrx8JtwRbgKBFecFDLKLTU4xQyJHIVlSTXfabsvXX/aaj3/w+h984wuf/dh7TnrJsw7aY7sV688tmcRDw/Dnu+763e133Hr7Hb9n/OOf7rjzrvHDBPPgtnSutt10vWOe8qivfebD77r2gkc86HC1eZ7J3LPGSqs4ZJNqIBuEvLrVc15wwhOe9rwnPu3Yxx357Mf+07GPOfLYx/3Tcx73T89+3JHHPv7I5z7+qcc9/mnHPeHpz33vv36MWKqhCCAlDAyTJx4G2M03Wfetrzv/B1+/6T8//29f+OR7H/WQQxbXaue/ki9QHE3xM43ZvT984qbP//nOO/V/b7f+8U8veeVp8/lhDxDvTYpvDZZNKibq593NSGBEqDMxgWC5cKZEpla85rE29pn1sg2MPEBFuGYHBZAIAjybzIy51GjzVdNtt9jk7x58v+Ofe9T73nb1/9x8wxXnvPLgvbbbYJ1hTmvsaRLwJx1uyGRO468tJ3Oem2RbJnODJvx4xJ8NDztg13ddd8WVF5x25knHL3IbXLkXxj6YkctJNfxkm1uklatWv+Ud73/qsSc87dgT/+nYE458ziuOfM7Lj3z2y5787Jf807OOf+qxL3vqsS9/OnTcy0495yLOpeQqi6AlEcdNbrClqFkIEiqTRdIwQAMFe2iTJX9cPXfZm96z834PPOnsi7/89f/+ze/Y/j/ftfLu1WvW5Deq0zadtvnpFHHl3av+fOdf/nD7H3/x69/e8qWvv/qUs+//0Md88COfXDXNLhGYsE5wTxYN66+3ZIN1F62/7tLly5ctWWfJ/DB88/s/fsN173j281/+4If+/b4H3Xf3fQ7Zfd9Dd9vv8Izw+9/noPs87HFPfvYpZ1/yrx//1K23/8mTydKlk/WWzS1fOrd8nbnly+aGtpo/M4rvR+InTRbKGqsvU2rJb8nIkgZLEMJMwQUQW4RCtAarCoI9GcRgD+hHwlqS2bzEIRSRjKxBIBs9vkUMWItGkoEJcwm8zL8w8I5eijnbj6YI3qJtFZh6zbAkdBTMPC9wASqpjB5nJpEUaDFh4XxFi4QyCq6ASAGhJ5CZoBal8C+Y6OgQ3w7iCyACGeRJR5UdDRHVijCy2J8wCioOAw8a9pKstDbInStmZ03kEukwukexrM6gCZnQFSYbLdYySCw8+WZVKR44CSO2TOx0qFuQU01frCPgHQNKngfizHZDtDarhGhO1NwHLk18kSkVJ+HiaNTBlIejWcowJFLcKDGrrFQzdIFnrbtQIu4FX9yQAjxLAbSKQH0OQyyQqg5xt2QrsLMItFB4BKZujn8hOO97GJSUS5B4J82oA9GUqFJfmuFV1GsbFQsRDMHYwQEXuOoaDgAGcsdUlg8ysFRRqOEt9OR1bxL4rinhZVlibmCYiajsj2YwZmkAw63paVEUlwEebsgrmahI7N3oUmJTCqOSUgYspYquI/56S5c8+bGPfPUJxz/lyY+/330O23TFJtO25s6/3Hn3yrvlwcOch4k9iEZcG5eIA1eDF/uaqjUkmla1wiyuTgPJaTp/ogEseW5uWLx4WDQ3t3jRZNGiuf/f2gTYZDKx0ogN8elFoqTRqFaJ6vKsNXMS0OS2P/zp9LMueNDDH3f/Rzz+vg977BEPf2zGv3n8/R7+pPs9/B8f8MgjH/zopz30H57xsMc+7V8+9BGuWQ2cMWsZrIFXJVlmoSXZsmg1jqX5Nlz62ute9MqzX3TiWS86sY+vPOtFrzrr+JNe89JTzn35qee/4tQLXnHa+S8/FTrvpSefe/yrz37RK8964QlnvODlpx330lOe95KTn3v8q5/zolce8/wTjj7upc98zvFPf9aLnn7M8y9/7Rv+8Ic/Uv2uO23/vvf+8/EvfN5OO20/Pz//+9tu//Wtd/z+jjtXs6fjK4VqKIZ6SxTOW33j9ZbMVeOjpaZtyu6wJWAWyLK5PywETUaOLwcFy0lh5ezG1aERh8w00NlXjMaqgRFnKfdn5GMFxC2KbwB2ylPBm8os41dYMYiGAg5ikSECT4MwVQg1EHZe/XIKN+4NlVapsEiW4IIIF5bZXGOXCzgEYIbNKuKRAMYRHkvREVgEYHgsMCaDlQJsrJ3iF2ZAFXvSYIS4KQMTvXliWmBA0MEVP341iUelWFp05HQ5KUkYJRNLLDKIeoEYpNIDVdni36TcrZkUlyijwY/96saS22gTEW0LqngwWxpitCSDZKYqFy4am2s2NzYAtmZL62o2EH8RgRVl0wGMhAVE5foxG6eW21RK4kIcYakoflYpXdQkrEgFgpzmIzOWVFYcNugsJ5EbsQodvvgscCjBSoLpQ2PsxFIqvthUMv86Z4oItgIamR65G1leK+VgYg3DTCoChBG+KCOtVcpCzpDVk9DZ2kSjFwGD7AgiZ/ezBJFCY3WssLAQeSyG7cARIhRjRwOtZMHGqrhmxOs2EZxQgNxlAg3ja92BEDt6TCKjU9gAo2EoaLLkTW95x/y06Z7217x+/bvb+A2QJovIwEEV06DpxI0UVGMTMFmIyM8t5EJgzLLaJsuXPf3Jj7n/ofutWL54mN4111YNNe/iF/llfDvBkLmPGbgwlG8ZY6nJ00lbvcyrH3b/Q9ZZxD42p/7yMNiwxlfAMsG71fDZL37lIzd++iOf/szHP/f5Gz77+U9+/guf+uwtN33mizd+9os3fOZLn/iPL3/iP770yc/c8pOf/5K9peS49k68UsIWnMUpDdNV22y6/u47bLHu3HRoa0wi1sUCxQo91eSuNX7vh2/4/C1f1l+1rbfaYo/dd1lQjEemT9z4uX/92E3Nk6RQT5A4ougZEt0wSHYx4tUtpTIPkQSDTpoMJnkXW2OzFvQKBHVIVkgLLY65lina8nTNkY/nD4YXXnDKi/7uAffecCl/VFo1YeM0mI/zySJNJo0HUG6UBHFJGD1o4FeSE831n7v4pJbWXzZ3zNOfuMPWm/HVwnzEelIpz/GW2K3WWuWDvqatvvXdH7z/3z/+/vhGzqYAABAASURBVI9+4oMf++SHPvrJD3/sxg997MYPfvST7//IDe//txswve/fP/6+D3/shk99dtoGPqvmpzVdg7/iTBg+3quIKpeHQdQjt7JsKYSthkW/uO3Ol5187mnnXHznXSsldiMmmP+D0C5o1rImws9/+eunHfPCy1/31pWreCTY3NyRRIElmgd+3frVb/3gvMve8NC/e8LDH/2kU8++6IP/+on/+faPfnfbn+5atWa+mZfifNOqNfWnO1f94pe/+9wtX3nDm9/xrONOOOg+f8tP+9e9/UPf/+mvVvPT5HTqKX8rnndN1abFj1ssMDWNmVhqqTGSPCMWptY4fepQsXBUSJ1ZWEMpi8jGY6wAnSCYI5SyV6qGoXp3ljcqGTm7wC1i2gUE8+gLWlHEl9BYGSFcgOELLBgeGmQKwD14Ff9MPLDI3JEwVBl9uspxEEkzOyZ4UBkLEZbILFwFa2JBcHhzoWHEEgHj2hHRUIYEbADeN9HRKtVaFE/BTAofAyJKJX4wiC08OQtMKNFAB9LzBoauOzMEnuXBdiKCYVwMwIpSlI6IKmr2ZxTyR2DWgRVLV7GW7HUXgQ4LVrPOKCuD2BkMSjUSG47MrHyKFBUnfUvQQluUW/LA+i3czbnjCY8RhiASRgJiFZDCFZvpFU/EgoeiUpmpR81Mnh4hR4lMMRHB40oshSNoY5aSmpESR1FjQzC6YKOgtOacHFVFTi7mBOxTGHrKQI4ntePsLsWSYGwylTis5F60RSXVdzIe4oxjwVUjDK7oY+SSHQ/RMpcajwTmTqRBP1Ks7imsFJ/tDMikayMEuLGJiCCjgyvs4qkC06Wa3nzLlw65z0P2PfC++x54n30OPAK65LXXerJY/EXIi3jFSRNPeAEqOQhaZfHXFQqbFpESmDKLSnmv1JTXC6ZU3tr8U578pGcdfdSzjn7Gs4565rOOesazjoGemfHop6M85uhnhI56BnyUx4zi01H+7d8+jFJ77AyUSyoCtunCb4uqhqHf1aK1Us1P249//usvf+PbX/mf7379W9//+je/91/f/N5/f+v73/if7/7XN7/79W9+96vf/M6Xv/GtW772X7fdfoflxFWrHDsrEtuRvWHur/pspjgqpRW18N40ZSyQUcXUfUYe08iM+nEcNZiaujt7p9yCZndiYwlVrvkffv8HT3nqUXsfeJ+9Dzxi74OP2Oug+z747x73tW9+r4b+K0jeZZQ41qZ87kmURQwqJQkksaaBjgVbrrNmrTCld9ERKmsW6xdQdrBKCCiZXb0qtCBxce/YKECqZjktjOBLtvDPiFkAcSi6JUhrm41trFAOIHAgPd2IIsjI/PU4KmcOLnarW020riwCp9oIdNiOAYnEmOriUYii25TFSzsBRP6yogEJYQdv0ViW6CWs3LC4R98wEYakijXlAOhrIXUrzCUbWBKw3kKjPD4ElgM04diCaffFXAUcgsUEVQAVBl8ERm4q6UJFwf2MiEdGbBAXVOgTXXGOCoEQcJwtY5GyMlspOKFsR0E0IXZHEKMu0oAVYhHo2B3G2C3bEoQk0qaMgu/pXDEmZgqpMTAl2EUFYpDiO3YzGblbg6VqfDRbPSG6kuQkad2SdSsG/KQxMkYlEtE7Xr2VwCIDDqwLeI5+MFEQkjtdogBYNPgIBMKoRAiTgEYpOvFcFONSrIyFVhmqr7HUMCgNg2PokXFGCIs61rGzYfjhAbNWg1hKNDOQyeI4ShyGYIJM7wsHoAKPIvs2tGHxN77zk7e/+wOle9oG668/GfDsGlZrXf+eD/7q97fzKo1r/27ATkCJFc+eVCwFF09ba9yymjpfH9d4unqY8oWSdbDYJnFBxVunsS8oihiiEabvfxfDgVfiYhCp+FGHIFPFjiqbM2NxvocqzZqK9HErdqFHaxjGT5ws3MW6+B42qA01+8FAsvsOykojC0QN0xHVw6AxvUlTT6aL1v3ARz/9+uve/uc7/yK8ut9kMjzx8Y+++PwzNtlwff1VW7VmzRve/PZf/OZW3Pu5zhzYgGjYEtZDkVIZk6hF7v7IM4cqtb69DabY5ngunFSwxTKhwiWmqO7po6Zhm4o/p8zfNUxXTrRqEBuLbSBxsdx8hPBZMmfuQGgiT8wPUdEP8BoWhTzRMDfkM79lR/iUHSbkCq9GKz7qq+Vfm29VrdW0xI8vnTzV0LIGtwaxvIxdow4GXlWsdVotGlVzVR8psUhUHC+a5LMqxUu+e76978Mf/9C/fXzV6jWIohkwBCe2c6QhkhhHsUsMgZWG1fPz51545cc/9Xnqqem82ny1NTCtTf+yevqWd3zwqGNf+poLrvjmd36wevW05X/kYqKaDGL9JubEhmBy9Ugg9jV0191rPv25L7/kxDOf99LTPvGZL61czdJ4RsptyrpUpcpSbVMZgujdXayPIMjm7CiSUaDSkUzHpjRS9u1xxujjGsEJwACwFGXQ9KJHbZRASFk8GRGKoYpNRxdQWQRNrwIZq9LQF0JnFV+4KMomT0n4jSHCkR9nDKJV18BAVeDUFQkSoWqUmWCoRLiibNTBpOouWEtxIXRnjMDdIQKPdsXF8PGhS/BQJkC9sIiR2UgiMhJZ7g13NdHCAF4gXApV9YhRkhMXSkg+/GPFDcLqwMMWVlxIDINLiZ1oMDEmT6GvMSM+HSo1BxaIiBSIyICMPtXKahQuZrolGFAUk8jdxd2Boipa3BM6VnUeB9xmPlTnNEzo5VjwbIKxM2BhmsHhPEaqcks4yVGOKZrInexYMZK/lxptUKioKCMuRIRgpKzIPNXjqSNL+LUiqPCFWLnHvOJ5ERaUoJTeDeRC5chYoSFiFQjJlEWH6XK04FEqXTiRjymUVJnTzSNmqqiuNDhSx0CEJhESKqwJi4LJ6iFR4qOxIeCX1RlFEdAeOd56823Vqnb3Gkgr19Rdq9tK3hVUh4cqsIEfaZI5+6pSm7qmarw98koZRL5OBSYdgNq8wKgt32CD9TfcaIONNtpwo402nrWNNt5ko41XbMy4ySYbbbLxRowbb7xRp41XbLLxihWbbLJik4023FD/RytqJWlTXpKkbtVCEasVpPHAWLazYM6prL4plJW5VCHuDZjOoeA1qI5CkYx9Asf+QDAsmeDAoADQZvr/r8ep7Ezim4DYtpHGMKQpVrPy7tUrV6+5e3569+p216opxOeXUgCfZo1is0RWWUYXMTaZDwNxpr1yrEpzb8G4J634pANEi65ybelsDttBxDI20MVEfKdVYhXnW2KTGKTRpQOQSWosiKHeM2Cx0gpA5lHJTe3MPUpSCxX42YSJQrqctSDGMAtBNMnghbK7woh6e2DwAZRmlVeNtfZKqkprWwGhF4pESyR44CiIDFOWsy5y2QzZs8CwYgBMaJgRz/cBmJSKVwxYii65S92fCCr3WGMQpDAqYDPGGpmy3DnkBSrhPAo9aNJF5LIzxVpxKWD0sCIGawDY1F1IPsZAhQ+UfaOwbi0JQDGI/BEk3BmkoWuELQH6RlhhRWO2rchMNqxoQzGgRIQ6n5MataPYrRghmX9S9VGJgSKTKIqOg3uDgbxghVcXRHDcpcyS3EkaGTMFJrNWR9kHGOdhHAVsnSTLUGYY2FlhcEZplMpAr5ikiHQkMJ2xsVoSs6xxJFcYSQ4LXLRY00XpazcahGis3oK31jpGvOc2WxLdaYnHD05tsuhHv/z9uRdd/qtf/wa1bOWfjj366Q844nCloZLtn/78Fx/89xs8txhB4tOGq+zYeVwqLzyeqbx4So137BQVb6IiecQCMBI/nwzcseKLu+baAPHXlBSTUCyq7xGAls13eSKQGbkjiK5ghjKpYfspkqPPUleKRj7qkKbylC/CXEoJFw+8Uec0XWR+duLDSULrtV28aC3JhCsGkin1WB7sQQPMRHydxm7XsOjXt68855I3nHbupT/+6c9BBluZd9x+u4c+4PD7HLTXK17yvCGKWa+qr/7X/3zoIzeuqXy0qFTEiQvZGqCC5yllAioESMLoNJEAFw0t7mrh0UFlhk6VzW/F93+oFvQzc58KNw4q0fnZpYlKJk2TGtzsBhUHxF/e5lA2z4ljgvh96jBXOYtFLLwQPdfyG9a5mvBTGe5D8ZNYElJuUUZeCNTZqLPxHQBxdgPIHwKDvtKLpfBuKUoDyVRAKZARFRZisJw2fplo1bhajc2AiGSSVhbPjPa2O+7814/c8Oe77kLFeQ/DwI89c4Putf3WT3j0w1/+/GPOPeXll73m5MvPO/XSc05+zSkvfdnzjnrsIx+6zRab9d3BKfvN9Je77n77u95796rV4gtKm3flmwrxP37j58654PJvfecH89P+c2NRIukbOzeo8SPXItUc5FpkzTm3ZpjIg2zLkosf5P7jc7eccuZF//Pdn86z20RIDFYHRWDpkGWaZq0HaEby0GNlm7MBzAYpBq3F2+oCs2E6qSKZWmWJy6zeLNvk74IQoDJMgPCGl5SRVDAlO5KkTCWqCMMsBHyhmLqSe8UZjWIxjUqwMFB8o8ZSRIUwzcgosWd0VxnWysAo23RZs7bAjHOMsRVWa9DYWME9S6XaEjjhUcUeMEesYOGxw8FEqaAIAyGye4wBxqzEt9DonubsanHckqWhNDbLFEHnIMJbKDIwQdkEJqERIJZvW9aswUBoUXUmegBMGUsZNRslgYGCn/FItgVF4T7gBUlKYRKT6SUpMCvNtC5G0EzHbDleLscAz8xORkjvQZLe4NIXJjladjgbDx/w6MdBdEFAYjCzeiNRiRRyRIbwhOiTurYrPWPRO+oBGUZErmRlkDhBKQZnLHSeSaLxtCHl4iKMFAhc5UQtrNA4S7AhiRGdSgo3SEwh0VKOxSg5ZYjGkhgh28qF0fj89xHeTZ3AmWpKjbdfZUhXIfFizJ+tpnnnt6nb/FFHPu7UVzzv1Jcfd+orjjvlFc877uinDPNrEp00WYRf97o3nXPeha+Bzr/wNedfeO55nc696FzovIvOhc6/6NyR4M+78DXnXQTsNedeeP3b30mMv6aG0NhX3vIUAM2TYTotXuMUWK0g3pKTNh1pgFFlrZLFpw6fzjNSowFnHY2FqRK2xFZCTBWH7uVwlS1REiitFKX1/9K60fZg90+EYeJhMhkGQ7y2+WowDA3iGIhCesmKEQu1VJGj5Tg0rel0Os+gKRueaiuFV1okao/Dxhuut++eu+2/9x4H7rvnvfff56D99tp0k400WCQktGbNJo3E2AcW1meUHpvSEEeIyo6CDtMpssUFCcIYoBLMjAxf5hMYPTevBNYMC6S+zYSCUW+jVULHduBQTBG6StaMR4RFDKOxpQ4Znu40IRlBaUYQUqda4CRDVYwaK2TqhMayeZSY0Jgmw3QyHLTAj6z7MjIiDwEzg2QEyNgrVDQR1AcsYltE9kE1KFr15lTlXmrkxB3njMAwkZAg8KjCSGyXpPA4jgyCuwbRksjPoLRkIHm0iAvTbFafgGe8AAAQAElEQVR1pBQZFtLYuJidoaSy2oKhouxVxaNfSqxdy+qYnQtaMCquI31IbIDigYpP7AlCTdVAG3vgTTCicWFGf/KiAiKwSgM3mhIEc1EWcHXfRIMBxwYVboYtHpYpaUQ5hTsqLCi6UMAaL8FugI+HFKs0CyLFk3yZhS8wJmNGsOwgUMLApgAjxaG6KrEL2IDE66xlLdmOKZWl9iphTXTDiRhVfNsVLXJZpMKhuWMS2BrU3wXEQ1n2D3/2yxNfffoNn7iRN/bEeQdI3mrzFccefeQJL33e0kUTYMSxhzvvWvXRT/7Hz379e/GdW+Ylp95IKvP2aVJNi5dP3phJ1rsWL/PS5bV0/VoCLW+L14dvS9fXso20zkbDkg28eB3lQSIWdULs2jAdlk0XbzBdsiFjW7JBLd0gjovXn1+0fLpoeZtbp3lJ8fVlzG28ICJk3aIaYdOkaW46Us2V+tffNje0RZNaPGmLhzbnfDMe2jCpyUQsXsOA52APSCWzPxnZQ/YVJVFB2IIp/emuu5/9ghMvuuINP/vFr3RPG+Ymkwc/4PB777f7ZP7uo576hPvd5xDfY9Udf/rz+z/00e/+8KctpyMvNJEuyZqEkp4jVm+BdGZa9fNf/+5b3//Jd3/0s+/9+Nff/8lvfvGb21atmWfnqwP60Kq1mrbp+InXVermlEFUyJMpf5hasr6WbMTe1pKN2GSo8xvUkg28ZAMtXe6l63np+m3xelq2vnKI62nJejBaslzLQgP6ZRzuegVmybpatK7mliqb00qttXKvrMjOle+VoBmkiQBlhPl/UKGRO3phIELLp3fx8ebWEqzQVXZmiBS442Tp9tv/9N//861xyaDArNhkw9NPfvnHP/SOqy86/aQXP+v5z3j8Mf/4yGc+4RFHP/ERzz3yH171vKdd9ZpX3vjhtx979NNwX8jJr43rpz//9fi/Lcm95oqTcuXd0/d+6CO//u3vRhgaSPkCMb98ncnuO2/7gCMOedTfPvTvH/XwRz3ioQ97yP2POPzgfXbbaaN1lywaNBnE2p0y2Z36729/718+9O+reZqplXcJeyXzJ9ZiQQkqgBip31poAzrQQNB0dStUyKUCWQTJDeLZKzWXohBR2DPCYgWFA0yshENrkCYY6LLwIDb41FCEL5RWYqEMzuCBEIbtFZN6i+OA3UjhY+TV6kJHvoyYEk1yv/w1NZzKIYEp8Iov9btnsY3eMuMQq9156hmMC8R6yRGmK/BLwAGHUGoW6DFvfJVPKJJAMeQmKshCQWccw42ZMGGEV3qxlZmjrVLeppSKS8kwILEYy9oQqo7P+bJmBYYqc/QgR41KkkHEMVrq7wFZU6u0IDghiyPBiJ70eBlDn0heZtOqmmjwYt1CoybDogGIL2NTmvEVvWItWjZjVAq0KpdEOBcoFKYAOMoUE1bChhGuhR2tiwR216pwxUbE8bBgsIDCUkAwFykLHiX7hi86ExmE7EZQTnAEBGURAwZNK2GCckkFD5bNwUJKqHFWRIUKyczKMmFSnlPnGIyIQ1QNmGggqjErSubEVR+EKlYKgBXNPW9uFKm7XB0Jatwsa5IwJasEsVPYZhhOVjF0y8hhTxl8m28lKoogmqtgK2vlBRiKmNVXVWu87xvR0K9Z/ZiHPeD4Zz35xcf84/HQs/7xaY9/+GS6agCe9FPmEhtbxf5QR8ah81hcyQLzV0TVYCmFsajkfxE6sVB0rIqRFMGzGUU9rbXJ4C022XCnbbfadfttdttx2z3utf0eO++wx6477rH7jnvtthO05647hXbZaYPl67ZW02lrjFmLCKEURFyi99wpr6h6bU5+L8ivAwflYZiodQZeg8XvuSB2H+ohPLbJIH71xguZbwKLhpobGuNi12K1OfNKmqpNSe1+Yuqt2N/5mp9nmkbRNE2bZ5ifzqNt1aZTEFMcW9pUNb3ffQ760Huu/bf3vvnf33vdh9/z5rdee9l9Dz84ldtVLMeEqn7+rEgNLSnLRl/sIpZG56KiAMrDuMAIO3wZL6k1qZrip5bAgAkWEAZnJrg08Ky12GT0xeu3iBDWaKgpSHo8SACyUw2m5Z50EWv3ig+KYsuZiGIRhdvQQGSVWWNV16niAkC94ACr4PHtSgTE0Zd7D4Nb4oTrLoWiMxLBiNaoKXyvV1ireQYouz91xlY1JlAusIAJRanUW4EkXiJ2FepuG2ZMIrAUNo3gAVotO0scVw/sQkMs5kSoXjAysODhePIYVQtBVHFhO81xJEhqwKh0AkutR872DZ3DA5dSEghEnJQ2IISkxOiJ4tC9gEs9pMT7CR8Dk1IgFTAjIxSWRrfyDReo0uAttCJyyaKEJBuy+BSGxnTgWFlLIAjAgHah7B7EicPulEmm+KvUW/hstKzmifEtTAvXkK/cPSDWYqOI0COv9SVcorBoMiix2LZSDxPJWCsupEAp3aMcEIRuYBjTFciEYYYr9ksaREcSdcfW4BNDCRpIGX+oAKiaaakGuwYrym6savDW9Nbbbv/Wt76zes08wDL4YdFkOOYZT95sw6UH7r3Lo//ub+YmHownu6Avfu3rN9z0uTU1VtRa5V/1eTrVfNMUhbAqF7u1VavWPPHIZ++4zxE77Hn49nscuv3uh24XOmz7PQ7fdo/DtoXf49Cd9jiYv0IorYSf9D/f/s59H/LoHfe8z/Z73Xf7vY/Ybs/7brfnEdvtff/t9r7fDvvcbztoryMuf8PbVvIt1awtK862JMLYa6MNln/6Yx/41hc/8d0v3fDdL33y21/85He+dOP3vnrTd79203e//unv/efnoB/81+e/97XPPf/opy0aBrdsDrMIxGonEw8TTybKws0PT8Qt9iuISWmiYU6eu3t1+81v/3D3qlVY/4raHrvseMyRj9lgqZZ4uv5iveplz9tg/fUsL2D8hS997UMf+dTdq+dVfLVWtlOMrTiUgJIqaG4bi4uppNasu+fXXHH1tYfc7xEH3/dvD7jv3+53+MOe8ozjfvCjn8ZpbW9kcvwSYq12LUOoKg//+a0fPubI4/Y9/G/3OewR+xz+sIyHPnzfw/5m3/v8zb6HP3Sfwx6y7yEP2u+QB+1/6AMPODwjTOjwBx142AMPPuxBBx76wP0PfdABhz3wgEPDH4B4yAMPOOzBxxz7oj/9ZWWxb+TJNRYfEOxcbo+08YYbnHf6q771JY7jhm9/8YbvfOkT3/nyDd+FvvLJ73/1U9/76ie/99Ubv/e1T33naze96y3XEGNt0SPDBrG2SkjuV2N9SSKZJyDCoGLS6tWr77o7/2da6CFJBx98wFOe9JhtNlt/o2Vz6ywelkyGxdZi1+Khli7yekuGDZbNbbHx8pe9+DhuO/gSgRvMqjWr//yXO1mCOXQum/yb3/3+l7/6LVd+jCyJlAcfuN9H//XdP/n2l7/2hU/8+/v/+Z1vveodb77ynW+95n3vfNPHPvTOL3/uhh9+6yvXv+nqg/bfZ5gM6g2v1toXv/SfUw19JTz6hGQlg0lu2cHBV3/GU5HKNgaUWrungyWNzqpow2tsWQJK0bniJXKzR6AxkwakCM6tGwoNem4cY1XeJCJXOkkJW3SsSaa1VgJaJjzdYRIl3bbkYaDHMaZ+GQKlEnfFGIdkBlsGaFOVEFFQM1W1CotvwTQK6EcjWrlVR2oQLlwI0VhSUV4UjrngskbJ4ImZChoWQuJt1GqyUNPVOaURqFWYWW8gCj/Ri9BVctzYz54fWPJSHlqnpn4wEoFQSuxf4esSyyrc4AhGkBaTI6q3MfIULaGoTgMg4kQSMiKQQPHMNACVehZSNLvndJn9ilPTAIyqOz646hqUir3jLacVSuYugCIIiqLeJDBWR5aYLLY0qm5NVR5B0alnsGWTHD+NzX0qroaEVeonPlEa+cphuhKG1WS9o3fJGndpsOAARSQZYmEt0WwWL3La5uATD70pVcbcB9zwIrJVoFRYK7yUcxE8EKBlGsqGHudRyRqd21NsaJwstVaMSapKcWBzrT1qS0SxGSVGdXVJYr0EII4R0lsNAsgJtTz1xJg2Gp8N0Pz8dOV8W7lm/q7V05WrphlX18pVbSXjGt+9Rn9Z3e5c3f4y31a3mrbWVNOqajU/bfPTNW06z8czSQsV+UIpQtYw1NIlc0sXL1q2eG7ZkkXrLBA8hH7pkkXQksWLRlq8aGxzixbNLZobcpZO4Vmu7Jyo1rZtt97y6kvP/fJnPvKl//jXL//Hv3/x0/92803/esunRvrwLTd++JZPffjmGz98803/9pQnPpYtWetIqa3Yil5kN1iOlR3qU8mTwS9/8TGvv/j0ay854/WXnPmGS896/aVnXXvZOddefs6brjj32ivOfcOV5z/5cY8e7MnEHkSpixdNnvusZ779uqvf9sYrrr/2yre9/vLrrw297Q2XvuUNF1/3+ove/LqLnv/cp2+80XpJkrxUUdPGIXMI0bWpVq6av3Pl/B0rp3fcNX/HXWv++JfVf7xrzZ9XTv909zz057unf1nV/ryqrZp6yZKl67B3SxcvWTK3eNGcS2p02ZYlexjHkvuFtJGVtMwoeTn3FyYbwcWJL8r4KQ3r0NRdGMb9HzDgq9wlwbireemgV/V0BTvIHor7TjJ8BRKbY+oa5IqSI6AAEaSw4wg5O4GBJwBMYYuLOq+W8+/pCNEfnIqVyBDOmIrV1DDyeKkHCJqErbtggymmdPUBgRdOYo2wrqT0Maw05iWW1SDFJFlUKSmSRUMhOukLXVWUwwCLRkzmBZ2QGIDFGq2wRlNYNYk2YTNjLXVk3g/81kKUKDShGrBEbkWA2QliGMqgnTqLJqxEJpwTayjRBiMXYHhYxDJS4Gg6jcCEjZhd5WQqfAcGLg/wksk3s1garCFlCV+rtxqtUhtFIqnU8BvlBRiRuiJDgRhndbNFNhS2lOOA7WTMpgDZyBn6tsCHkLPswqWLKaSyvbPo8ZFMzSOnrm+iUUDXAbcH2bKYxE4J1n1OPFdG1T3rhU8OXAhSxAQxUyDgjK9NQEplUhqQTBZmpYEhDtxfWbCqKBatGvnyjLVqzbyTp9PG+RHOngwSf+9+/N//7bIlcxutt/RpT37c5putoPrEVN11193v/pf3/ehHP27VcGFoTURo09YKNtHH3oTMK7799tbbf/bL3/7i17/71W9v/dXvbvvNrbf/5tY/MqL/7W1//N0f/njr7XesXjM/eo0j9fzxT3f+7vY//f4Pf/rdbXf89g93gAz94Y7fIEK333nn3U2TiTzxZDJQtbPA0Z3R8prVK++84w933H7rH//w+9tv+/2tv//d73//O8bbbr31tlvR3Hb7H/5w55//NL9mnlMYd3MYNLgfWA1iVsYoSmTxMEBFrsmQ/2puMikN5Ao5w9g3XH/5S55/9P573mtSRKk5ze+3573+8fF/Pzc3GQHs27TVtW95539/+4eNU5bZvSk/qipRoklXay7BsZHFXub0B96smq9hTNfO/AAAEABJREFUfjqZb3PzbQI/NV7VI8NkzkmxnpGd6RA6Z3IETP/Lyvkf/vTX3+HvY52+/+Offu/HP/3uD3/yne//+Ls/+Ml3f/Cj7/3wJ9/74U+/84MfM37vB2hm9O0f/Phb3/8R9O3v/fCb3/vht7/7g29/70ff/t6Pv/W9n6D50c9+yerIl6JJAwcVeZlC86vvvvOPt91x22//9Iff/fG2393++9/e/vvf/OF3v/z9b39+629/eetvf3Hbb3/5x9//buWdf2b9cfirzkmpTQd2sNgdsz3RVEewbBys8rDOeusuX75cPSdYVf3n1//7He/6wDe/99Pf3fGXVVQ2N6dFS2rxOlq8rhYtW+VFt/1l9Xd+/Ktrrn3r/HQMp7HNLVq0zrJ1THCepeI48oPc/HyuK4oRg8NDHvLArTZfMb/m7jWr7pqfXzWdXzU/v7rNw6yezkOrFg067JCDHvSg+y9dyk95Mq8dx/tPf7lzWi2Hq6l4MKmVuEaDFZQ1WCxKxWjuJFbIUbmU974kRGl0ZULEEqtgTVcGIynvEiC4j3Z01sy9X2Y8KzKz0kzLLF4YhqkMzBD7yMj1lVB2B8JbtsbG3s+06jNaxx97zg1gnhAmDBQleRZSNECM0mw2BRClwKT4mbo0a0XSQexbYSFMTqpmrhL7pjTDALCxWMSRTAlW2iA0SrM4nuAUiLuqTEMOpcpuxgLS2Fg4Qj8ZlwAxcK4zqzS4zECMwgiVxCgAVbYoTKIYRYCRxIZLhuhaaJYNz/JSBBz7BleiUlK4N3mwHVUVENuMa6mS4h7NAjebc/OqR+wOFTVBnM6DhxIrySi0MMYcNimQg5LcLBwqFVAfdg28DUdRueXOIFWoD1x+L4jsCSxqrASyaO6n4/GJr9GGgCWUQgIrEuOaAFE7bcQ2ocSKRGUYOXZGCI1SrcoJof/VMM6SFSfMpbVQEYt6OhwJgwZcrRiNf+9YSAqcp4ARNWO3sCyMEAxqczcyFf5oEgSxl5QZVfEB0Vp97JM3nXTG+SedeRH06rMufvWZF77qzAtfecZFJ55x0StOv/Dlp1388jOhS19+xmUvPzP0ijMvP+HMy15x1uUnnH7Jb/+4khdb9f8KmtPttRPd6hx/9n/ZS1748pc+/2Uve/7LXrJAxy8wL3n+S49/3oxedNzxLzj2xc9/zoue96wXHPfsFzzvWYccclAPlIFwfeKwmGe0atXq737/h1/88tdu+eJXv/DFr3zhli+Hvvglxptv+cotX/rqzV/6ys1f/sotX/nar37925mPZhH63lEvamvcEubOmTZM5iaTRz78gc98yj9ARx/5mGc+5TFHHfnYZz75H6CnP+nvn/aPf/+MJz/uvvc+kA9tezIME/NdYfCh9z7gsY/+m8c+6iGPeeRDHvfohz3uUQ9/3N8/9PGPedgTHvuIJzzmEU987N8dcehBy5Ysrjat4mYWB1matSr9/tbbXnXqa5709Bc+6ZnHP+molzzp6Jf+4zEvfdIxL3ni0Wvp+Cce9dInHfWyJx/9ktBRxz/1qBcfefTx//Ss4z/w75+Yb/0znXgEhWCgsmxmHm1uqM09iDgqVchWdOxMBEWQBsOkPkmw4raAZcpmFRjmXNBoEAkQLnpgBbrCz9QsTSb+QqCYJB4cgoTUG2CLf4ZRoaJcRk7JTFgyru1GwbMGRQWoVzOWjSb+fHD1OJ23rbhIjJLGetDNRMc/yKiKoYkWJgZY1kQ0YMonKksy8VkDUKzx7EvpBeWBRm/MMaQroRLD/bMV58Fdv2AALw5QY0sYNMBCHZigKba7oQ2QDHZXEsbR0MnUi8eiJHN09O5YoigEEMU01hyuMBCVY4p6UKVYQjGjjlOPJ96wEQDVaA0SRBSEaD1iUqrH+F9WMJ0Cd+N6sYWKoMDSuyOY2ewFK1UQeYRykwNNz5JGZRVQHNE6EzOVlBiUeukIsmCstO6HG7lZCONMOVoR0JY6CiGEItOsl8SOVAZJFp8C6q1QZ/EEGsSNRLRyi2xUAkpR3FgpbCkNQKYIvecFpcBw4eCzT8q6KZNvqD0DOoIUMZgaRtYyTptvvslzjnnqzjttN9jDoHsfsM/DH/KAuWGikuRtttriiMMPXXeddRsvjEZU/DJO8zW0FyhaGH7g7nVRTDylFOM0WK1t2BJirTwyJgKUnABGnQhn8ehB0QwIE/ObGQTTmO6hP//lrtPPveTEMy8+4cxLX9HpxDMvPeGMi08885ITTr/oxDMueEWnE04/7xM3fa7N5z+55k5xI0hClCIsaYjqSfFLP/XraEt0i31BOUzMi9ueWJZkmvhB69WveOGTHvu3Q+XvhB5MwE3WX/eJ//CInXfcDpAW2qq7V//4xz9l57marar1xq3ObkTkFT/llDg/t+ZGhdJ0UJsr8TOeG4c5bk8cxqDZKipJLOWUzXXlGqCKvVszIKAiAgTfCUXmvgEWd6IsUoQ45Wnxa73iJ+Bpm4dVm/d0qjZVV5enTXyQN5Briyk5/xhMOGIXXfrTnXe+7T0ffPnpF5zAQUBnXHLiWZeecNZlJ5552YlnXfbKsy5/FXT2ZSeeedE1b7p+dOl+42pn0auobvauUX82QKIiodjxYeAHrX332dMkL9av1upXv7n1NRde+ZwXnfTKsy47+9I3Xvr6t1/zz++99p0feMM7PnDlW95z3tX/fMoF1xz3slMuu+oNNcuXiQibr9h4i803LbTsjchQG224/vrL17XS7HHW5a99/YtPOO308664+Jo3v/Ft773+vf/27g989F0f+Og73/tvb33n+1/35ndccNk1rzz57Le/819WruSPfpVqiSlts9WWc0jI3LScl2zLA1PWnCSwtvPGN0g0NkPWDQoNcSAWWkqAboxvYBEAq6IQR5pVoCzg0a/tBcdpM0qc2OiLEjxjyiv0iSMVaRLDaApRvRkubhQWZakwhwqDYgksn0197oOpKFYEUIydCh73PoqwXdlhJmgqT1XwILDBMAp9dXRFgdsowUDq7gxdSfBGkkKbAnAYIbMx0Xuk2BVEGKICZHWj0NOFJdg4KT49BFAJCQGX1MyTrO5KzvEUYZRWYmsYVJEkfHETrYRl4UwktCVQaEo5AaxELzrGQTQgjJBbtCX1R7xAqjeYEu+2CKNjCotEQOGOsioynYX1nYCNSdTfTQ4O/F+FDUQYIdiqjhgFZCVMQ6zEyRBEYamKRrLjwZQFqsVfrMjjkMjY1Y2uEStZeSaUNlolqqJLYhd7l5iwxkcZ4EsJNJ4CLAQaPWmCQB4puKjToykYlzIysRsoHZE5FBMBCMwbuFgEQqUiAaoxB3uaHUfIpmCodIyU1JUUgUrCHFlrWyt96zs/uPKaN135hrdeeS30z69949uuetP117z57a97yztf/8/vvvb6977x+ve/6e3vf/M73n/dO97/lnd+ELrunR968zs+8KZ3fPCPf1nVKIOwhC8+09heYpMZWfxGabPNVmy6+aabbroC2mTTTUKbbbJi0xUr0G+2KabNN990iy023WLLzbbceoutt95i2+222W67bXbYblv+bkMU6hdPSv8AG4bBxA5l/u3vb7votW885kWvPurFJx31olcfHTrp6BdCrz7qha9+5gtf1fmTjn7BK2+46XOpJo6Z09mPkKg9sdQbu8jmsL3DIF6MYvQgIBTSBk09ozUufik2z6cWMXDn2ESFrdTmNV3ttmZoaxjdVmvKZ9oaT9e4pq55Rz8Vb4lQw1f3NK9avfo/v/E/N33u5hl99uZPfeaWm/7jC5/6zOdv/I9On/nCJz/z+U/+x+c++enPf+Kmz37ips/ccNNnb7jpMx+/8T/43eU8BfDdui+PqJnpKQ5J3BiWgUJkhZh4TMYFVASByPIjoIYMjF4StxJTGFgTR1VYBABl7CqESiLlMoCJkD7qw9FxAAlTqIlAVLaYYCXhJxoCKAgVBAgl1Mtj7sSvZzBUXIr0IhozoWFEQyBOBGfoENSdT06CxTeqKhYTz4q1n3fU3DUyoHdFpFsBSOyxYmKoGqrHMWo4IxQs+TK1sOggNOQVdo0NyeYGlKWR4kEt+quGquICgJmRMJhLKPsg3GssRkqcYqAD7VrRnBXQa+ZcGKMWQfD3TO5W95IlVo9ZNIMiFIQgoqNQmrsDQSOg79PaGWM2VigAKq1IxHessNGOasOi6ev+37EipWMNmYh0WMtiGh0ZHaEHruDDMZu6cYnNGRRk5wIwiABQQEKiOOBEgEcetRmFGgVTqAjTpVQMOrouRy+ek1HXo+HYA5Ri5MBhRKOAGYdg9a01rBigzmW2MFkLIz4EbyThs4DY6DGOWgwwiG29dZa88LlHP+aRD1uyiLtMQVqx0fIn/MMjt9li82rtkP33ueLCs1/xkuO22HwzEQM/pk5ZUGf6QLRuRpsYXUTRbZIHexhCTlMGyyQc4AVLiRZtkEzTYMFOpImB5esaoiWEYWC0IygNJtOa+fnP3vyVT37uS5/83Jc/mRHmS5/87Jc+8Zkv3vCZWz726Zs/etMXPnrj5z5642d/8JOft14gG0uN+Fu2CVIiPjxEFqEKFV9V+FrM58kwB4DSJkzWnGuHbbc894xXPfeZ/7h4qIEfwYY5awAw1PTgfXd/1MMfvGzpYkmL5+buf/jBl5538oOOOES82VF1ooC82NnVNvV0Xm2KVYVO0fFwNXsqTeGYmvlsw9FUJTsjUkn8aGEZnoHs/bZGomOVXCwhGyqpK+6ZESH8UIkpgkAVQVOEi/cXr63o6cXbwSmQGslarbWeFxeyCKyHWaKo6PPz0+/84Cef/sJXb7r56zfd/LVP3/LVTzNCt3z9P27+OvxNN3/9U5//6k2f//KXvvYNMuByDyETL2SN62W0eipskKkI3aabbPT4xz56ww3WY/mi/JReK1et/uo3vnn9ez544ZXXnnb+5SedfclJZ1508tkXn3r+lRde/sZ/ftcHv/aNb95TPm7Sorm5v3/k36y3bAlJJCdRTTfZaP37HnbwsmVLCVzZQEu6a+Xd/NB+9RuvP+uC157EL5tPO+/E08555Snn8OvPk08//9SzLjrvkte/5wMf/dWvb63EGXCBli5e9KhHPGTxnMc6nb0imonKpLHVPVONFmxOiyE8MyDI4lcAxIdsBo3N4yShBPXX0TFBxMVIEbGKddGFHorANBq4hjhHVQvPNYa+acxxSuceY+YowBZ6JxRHADu6RqmuZJzVBIcmhVhpjBAcI464wEBoIjJJuEaDrMwoJDh4r9WBEQ0ZNUwqyIQ+JHGFVf2Tq9QhDLbDk1QLyn7SojV6jq+nGK0GGIdItTYBylyYyChFwLiqcIRmJiwIHCto+KAWMlGDCq8UqEQRAgQYPQyb1X0BWr316Z4BHZiMxYCHeh+9tbbNUhM3MNsjqo8kqM4EXZgy0wGbaVZrjeVJAczCiQYbVBLGt/OoLTNGG3xY/LsKHlXYRCY5ijEII7zwJFkAWtuQoEuSLzUAABAASURBVC4yc/vCwglwTopJYxsDjrw4AWOyZm1kgEDUQ5qZIRNGThkLo3jbcZ0hMJCI0svLMKbPIgAXh81H7rgWxpEwjl4ElShDaTMBYyQAxR6H/V89eooL1V/x2UvEEQozkvrVge8XL5XDy4OdT6+ASRoafvObP5x08lmnnHzmqSefdeppZ59y2jmnnv6akU457TXQqYynno3p1NPPPvX0c04+45yTTwN29kmnnP3+D3+0PGFPWjrrbzZBEz5lWvPT6e9u+8NPf/nrn/3yNz/95W9+Evr1j3/Z6Re/+vHPf/Wjn//yx9DPfnHnX/K/ZtQ9U2mYzFb+SbalLDUTnAQz8AmT5VQ3KqNpkizWjz8lsfFyKwj3Fl0zP3SxhdWyza4uytEUGgczOuLLp7k1a2uZmbww4TCyHbBWIl8vmcDOzotaPcyVB5mDkDz+s2aNdP1mUcVajRxz18yYWXzqjUIMo8YtxeOIhtQEIzHfE7oVE5awC1aLyCj6TFpcQJhO0XjCmeuO2uwQ0bCgHondQszoDOEXOgBY00O98DDJ1rvuMZUoYUHsIIaiU4HQjywcvOwmdi1sdTsjZRf5o6PO7oipiwjkLqbx5NcqOzB6TFDn+kAwYxyBaCAlhEvo+waEIwEyFpTmEIixloylkLoL81/R2m2JvesBUTseTha6uzrDWi5gkxqKftajhR3wUSVGVR5zgBTHWBqiB1IoihShHoOBSoqOVfENAnnUkBg4pLSos0LmiAZe3N3wVawdpujkYu8SOTewoakgy3AxxBKhJM4wfumzkjCAYy9hCkT1pchA+rUTbbQKnKrZrE5UjTZT+ohEAdOMnUgQHvFpYk/gRYr+AoDpy+KbNKgkFfEIDWAmoYiqPwC9/piqB4mesGhVnYfD2ugCYDpzJKs3Ks5MYYW27bjtlm954xXPf87TNlyXHxb4W0YRgJ8THnjfg//uIfc79plPft873vCwB9x7xYbrTmaeszg9sOwFMUFVbJQdFWGi6TUVatMGmj0MUP421BnNTTQZ1P2EIw/VMJkMk6ETSOVnhAljqLVpXlYeBNa9iUYWxgUiFjvRt1kzXiBKPHuVH2VYYQBFm5QGcVQAsCdCVZPYHfVjcg1uw6BhsKibL8gTJa2kWmfx4sc86uHvftu1z/jHf1hnMasYNOmAYSLzE9d0nSWT5x79lB233WrZ4rmTT3zh2994yeP/7kGbb7juoGaWKhFlJHIlb02d373N89ekIkGpFf/4Pdzqofrv3jRF18vFrqqMRCBY8XNasc9UBw0oQxgyqeTBliXuvP4fzd1i4UYlLpNcNAsnMRK59R+iig2tWI0ZMm0wRVEM4mDZ6j0jrGizSeCoRJh7iDDhCYk6o2j2AjxpBACLh0GTSWGBEa2GwEzjIbM4Mi+ZG570+L9/2pFPXHedJTkBwAA7ka6V1qxpK+9ec+df5v+8crpqVU01aHAIm2YNpyOf9PdPe/JjJzXlBmqYg8gy5/bcY57y0AccBoBix9JGH7yJ/Ke/rLzt9j//7tY7fn/7HX/44x13/OnOlStXz085wXiYZVQOfW4yPPFxj3rkIx44N7CEiQxl1wkFRnKI1SiLTiJn15zdZRGSOpiNQBqJd8eUPZAxomcMFwfYYuYLRtdzhmqxVRw9xs1XJdIkAViSMkJEq3TYMkbCuDMgOhzvfvt6rD6wlU7GsuwpRnJVfGG77yyMXOxe1UAc5YkkNmnkOMcCl4BM8Y4XM0aJGV/wwEQr1k0WPFE3GwY4u1cltqWQZf6F0pMmWYVgNjI8DpGqlYiagSWiZETRVd2k4vtzSkcLmE3FRqpOcRNJVbhVM5ixZ+0YzDrVs+OUdBGKGuExg8KjM4QrstfC7y8KQ+9lsyQKAIE3DGN4JnIFQ97UgAcKEvWEgVRPg3thawhl5aFFIyE65eVuOBqqIRdh1QgiWg8UPooqrLWgMovAIYGLuw5YMeNdrMfI3QTTinVZ2faEUhp5sUhYsDIjgSdND6KuFA2mFTDYmbIIAlooC6t6q6JmupkIAgYvmBipUuLYqmnUVC9djCpRLJ2A/VrihYqxOaG63TiKxh6BxFzdBw1mk5lKIkj4dLPSOKiKC+lhgbJLoAtUYY/fWE9AMVMD+v9v1C12nxbs9lpxxiTRgpUM9mBCD5aHyWSCBS6Ereruu1ZBq1b28e7VK1eu4g3Ji+vulavvvmvlqrtWrV65atVdq1dlvHvV3XcDQM2r7e5V8xLRTMmJRNy12wGPirHTX7Fd/r8OHi0j3rJm1LfIiFwdCKZbxnRZFzXg5DIObK2K9cqeTPrS8bQtPr2mnL4mls1XCms8xYyJmtNMR62We1ltsByRTnwIRjiPU0bFnq6ZVbzWYkAXYAqRiFOWPMhpVaO6pVaZf4oiD+TCXbSBpzKYgscFBeskD9cwcI4517ixDUXyXFQcRO0uIosBsDQyiYMHVjRkKd6cxXL5dhEFKCnhGQcEIpMWe0aDF0r1RwOmGZFePYjJXkAtkmAopsKFAgqeqOVZ3ljpIUy9PIqqioKeSExkKFwKNWE5NyUyLAqlNaytZ4jSVEGoBFLDXH2QCQNG0eNYVBURdUdhdf8qFLuCFqpusqqRPD06cmSiJ1NPhrX4MyoqqNlA4oKjiVTkKmMhbQ8ociiaKLAKF3xU4vTIirkFn8796bwI1NhxyiYsUIgcGhtnhF3EtOMVbe40fMNQUVa8Y1Ak9xGPLiBh1eCxyeCcIZewED1ryuIwuAgPCEJTaIaURfEzIBWh0YhnY1mTQKm3EQPL1UxS3ER5JU6kikEjIg6IZk50elUXqka8scJlFI8TcYa4SozFXwOaJJyH6pPEjR0EKinyssoqijohBajezNqIPBmE3gstPIFMFTKLHqEqR6JD8IkMUjJprA4sWwklqs592XSjDZ702Edfe+WFX7vlxkc99Ihlw3TgW35rVl+D2pKhXXjOK6+68NRNN1jKF81hII56YyF9JpQIaY+SBAMNtgdvvNGGW262YqvNV2yz5Yptt2TceOstN9lmi4232YJxk20232SrzTbeavNNtgaz6YqtNluxNcgtVmy95Yqtt9p46y022mrzjbfZbGOsW2+66TYrVmy1yYqtGFesWLpoTtWmlOBhCLFHGhupRybHHA6QZrxjZOWozepbb8jOzy5FOA4p58nypy5+6G0YeRAKv8Kh8gEprFX8iLVsyb777PbcZz/9Ex/9wDv++fUH7r3rkkWSnXIGzivUeb5X13ZbbXLu6a/49Mff/coXP2vLTdbn54EB9TBY1l+1HCgvCahN3eZ3v9f2Rz31Scc8/SnPeeZTjn3mkc9+5pHPeeaRxx71T8896qnP7eNxRz31uKMjHnsUmqc+5xlPOfSgfRYt0mSYTJJ7IXT2AJ4pV8zWkkVzm220IRse2nzTraEtNt1my05bMa7YZito423ht16xzTabbrP15ttuOdJm22656XZbbbb9NptD222z+XbbbLH9tlvssC3M5ptuugGPKatgf6Qahr68knuTkREiChy76DQqC7ETkLq1M7Cidd7K2SAR1TwUJKhInFC3y/wTDxWPQ1uxfJ1zzzrlzDNO2nqrzZevt2yOn3yHfLpOxF8gbVI7t5aXVtGHVkPjb0ImhLV48aItN9vktFcd/7orzltncZagYaLJIg2LPDeZDLXRuovf+darXn3CC7fcfMXSJUts3FKJPWMiSBQ2X5pqaOgHzU2mPUUtXjy3xaYbH/ecp51/1qu22nTDgXo7achFHhgnOEgWq1FV7t5gRBhiuvgCQHQ+Alj/gFLAPTa8Oj7J4SXVwBDvQbz5hlL4EkyPruwqiKKEdAdAnWWBhMoEjGUYJHsQ/mAKATY0eBjsAb3MQGR4ufoOT9AQASVMV3rorthJaeck0aADYLpo+CpBFIvJJfFEENBSiG1AA5qFcI5U2IgjdEjkglP1AKhgEiHdFXfJThRmGVQNbIItoygPhOiwQY1QVpsIBNYCC5kGkuqVhauPLntk7GHQIMQgLHkgom1UJvCAxnRlKCmzuJDo1ZvlNBalcAMrFwBJJhAFSHIDIrqVxhhbNRgwC8vpOopBW0rujjWlolEvq6sHNKroimIxsGsUXwMZFARMDhILKRWMKo+TA0A0Nwae2hidFsOgZtwt9BIsAzEjuTQ2tBWedCOi+u2OCkCHpTC3lGHZIlo0o9USJKzqrVFp11RuOOsfA+E22EFKplX+Q+wBvmRRfw0ew9oaE4mMACBqyNo7EqPTxAalbPhJisGdXOwJLyV0HsYB1NzgiUki2SLa0AV4Sxw6jKpIUWArNQtGPDETCUKyzNgJ/z4DBlV9iiIA3hNh09fqJS+4uA1z9oS3yzBMeI0Ng3hialJtTiGKHEwTBzEZcuXn2vykzfNlgAs4Kb5R1qAaiuUyplLwnTRkGkxcSdTiQf/XhgnE/2lO4nt0s/rNZlYR0N2js4CKpVOkiBQWjdgvCaBsoLipwUzmNFk0zC2azM3JMm0iazL0v8JpmFS/tKhEI9pAt+ETHXWxQbCoJ0NMWDp1DEVw3MiUxRi3UUYYqVm4eejTMDdEIGp+6SYlRjEU14YcFjOryV1QEz4GA1UHSLzPQYAiCQ8IVvihGAA7EQxDlUoXG5JDmgwa7BxbNCxHE2lQ8AMMV1xYuwaG62dsIsUwYzwxVlmcN8c/yKYMDgaAlIC2JLqpQb1hHecEwqIOG69nS5zoQBRuTgsjxT+W0T1ZROvaqDVqGKvQQ8yJPEiDWQW8eaDEhimMCw01g/Qg2xrAKTvD02UWq+yGu4adDEaUHH+Bj7uirMIXWJSmidb1Rpk4Jari5PqzYVvsKwFRJ1HDSlhG45iCMCji6KveCCg5LdYm7jBfHBbe58Rn//C3+Gerr0S0hRWPGRhNx7mwCTAflCUXVwa90ktcMA3wSQJU2CsZgKNiIWHooxIV5eAVjYRSvaGhJthGSikHJeo1elCKEt5FtRIp0JSLUZitrs7WlqNI3LGmWUUoUydTR5r4eJc981QRCwGA+AanbER4eg3mmkkgyTjDcRQqjS08RkeqjESlKES2AWosmIpZXjzSJaNQQBXWYWMvmMQlTNiumjEzS3xgbavteq9tzzvzhKc/+dHrDM3zqx1P07BD9gC/eJCnq3lmbS1fZ+l9Dz3wEQ++31raeotN+ZPUVlvy5Xvr7bbZarutQ1tstukwaOmSyT9fe8l/fv4jX//Cx77+hY9//eaPf+0LH//a5274yudv+Arj52748udDX/nsx7/8mY9/6bMf++JnP4bmS5/7+Fc+97GvfPZjX/3sx77ymY9/+XM3fPWz91DcP/vRFzz7GUuXLB5SnRbPTbbZcrOdt9/2XtuFdmLcftudtt/2Xp123mHbTtvtvMN2u2y/7S47bgftvCPitrvutP0uO22/c2iHnXfaYZeddrjXvXZcts5ScczF9rEBEJeJ3w8VRx3K/nC6UW6w3pI3ve6ySy484+DG8t4/AAAQAElEQVT9dplMVw61BrSHgcerZHnQ+EKnymEY1B750PsctNfOk1pD1TINrflhYHt2jH3bZqvtt916qy02X7J4jlOwh4nriEP2vebS06+6+JTXXnjKFRecfOWFp4QuOOnKC0664vxTrjj/1ZdD55105XmvhuBfe+GpD3vg4WzIZDKZW7Roww2Wb77pis1XbLLZihUwm63YBJOHYTIMB++/54ff/cb/uvlj37j5o/9188f/65ZPhG7+xH/e/Mmvf/7Gr3/hU18L3fi1L9z4tZtv/OoXPvXVLzDe+PXPfyp0801fuwX69H9+8dP//cVPf6PTf93yqf/84k1vff3lGyxf5qGxxmHQRsvXy1bvtO29ZqfAWWx3rx27uP22O++4/c47Im7HCO26w3a75hQ4lO1222l7Tmf3nbfffZcdd995pz133ZFVTDSwrWaXJYsNdGZOpooPo5q2apzLVNU0P7/U8y94ztM/f9NHzjr1xH945N/ce/99dtxu6002Wr5s6aJFc54bNBlqzsUfyRZNzF/AiL/Hrvd6yP0PP/64oz78nutOfMmxc9NVk2SZ4xyZ5UGeaJjwAbRIq09+xbE3fPj6V73suL/9mwfuu9ce22y95QbrL1+yeDGfqhyfKAkSFWoYvM6yxZttusnuu93rAUcc+rxnPf2db7n64nNO3myj9VxlE3Owh6yFJzrORovIJAKUpMo/LpaRARU6M6sYYwXXiAAy/rINW2xNEIV3j2XcICAxN9sgAYZMBeDC5g2ND6zpvLjw4wMkPPlmU8cyYGO/Ay+Zf1TTIhlc0V0DhYbDOEiN6LEphxWgEnoWV5WSKQtcKOrqvkSCZnz3J3E0RDUtLPuDVDy9AJxI0aqiRIMQQjS94Cv5xD7ASySLQqJCYUHAUzzPvENBmH0Dg2kkQhYAqyFj1MI+FBr4uBSmihP2hgOExuKrEJpYQXVqyCZcRVkwLpAhNq0oKYaIqrIdnwDoUotoOS7wA/Fnymxur97uSnm2LWK5YctwBGOukvmHIKbiq4iTFx5IKf8Gsa7gbJMIEjblTGXP/E2soFuSOQBSz5Tic8zg0GCIr8SXlJKiqWaHU4InCgWAQccYwlvCCh+87tmWnp0BbBGLKQDT2D6BV1Yr9qKEnTXItaCiKgSBipH6YFkqI0EgHCQ7JDFWMSQg4YKm1GIZshQ3qhKxSEbUInjw3SXqJK2RiYNh00X8OAnG9kYbLj/k4P0Ov/eBh997//vc+4DDoYP3O/Tg/Q/7azpo/8MO2u+wg/Y97KD9Dg0Dv0AH73fYwfsdeuA+mKB1liwmbA28z/jNQfE63W/vXffba7d999x13z132WePXfbZa+e99tp1r71223uv3fbafbe999hlrz123XvPXffZc9e90e+5y16777IntMeue+2+696777rPHjvvs8e99ttjl2232DS7PtjDxJM53n5o9t9rt/333v2AvXY7YK/d999zt/323HWBdt5vr11jRb/Xbvtn3P2AvXdHw3jg3nscMNI+exy4zx5777HzeusuZSvYETZYnEP2KZ1tV5rRoRe9OA4IqzXYw6BhyCgtXjSBJnM1DOKLCh+uHIxStMFwEkQZioEQknNdnDD0QcOwbNmyPXbd6cB9dz9w3z2gA/bZff999jxgnz0P3HvPA/fd86B99zpov70O3nevg/ff+5AD9jnkwH0POYhj4uD2P/ze+x127/0PO+SAww45EObwQ/Y/7N4HbLv15rkhea54S5JcaX09LjJaQ9bEnVGM8BQqqtV4bXp1M1mxwsstagCpG6CEibvEPbRMk5hiJ2buojxa1duYFxjWrmB/QBUoJpCEtHKVK2Zy8ZyGMwUwmx4a48A1fFgN6FKLlU4kRiIrVmn0jYvSYNDgV0ColHQIJGaMnwhGb/hZpC0AheNCh1W1jOkN62DPvoCzu5b6zxsWvvTQGNlY6PEldRap4uWMK6GpSs564R1UYEpreEcJWGrY+jEFLyERChLNWKVBzODFGjA4k7GKOJkKBqUDKfztpBWygWUiEVsIdlwNTIh7mwljIsMWcKk7iWKRKMwoYijbEoKqz5o1MotctdaqRJtBmMqxyqjpDUERzCaJ8EKZwgVfGTQGBGRbEJzU3ZporIcRcpMXUkWcdaElp2iYGaHqNVcPVsg2plmgATY6MnRY59VHm1pQEjGkKu6BYbFCogKClYBBzFVSwjJFKZp7idVz14IRtGmYQ3h0lBhNRgfGTOYmoYGkoU01v6r/KDXtCovQcJkzpauQ3H1WbLjBa0596buvu/xdb77sXddd9s7rLrvvIfsumtQJL3725eefegV0AT8DnPKSFxw9N/FkmGy43jorNli6YvmSjddbvOG60JKN1lsEs9F6izdevnjFSBssW7Hhsk03WLbZhss22wAGl2Wbrr9sxfKMm66H+0hLNl1/yYrlSzbbYJ3l6ywaLFHSMFm6aHjeMf/42gtPu4cuOO21F5x65ai54LSrQqdedeHpV110esYLT7/6otOgqzKefvXFZ1x18RmvveSMKy4584qLzth793s5yxXN49YmUfVdySi+0PPlgj+qTee15m6vuctttWuqauaR4UxEWfiYSR7sQRrEm9+Csy1LQ9glc8PLXnDM5RecdsX5p115QeiEFz9ni81WeDIJDYCap2uGWj00aM3QVoVB01ZNatVQq+dqDTTR/BxUayZaw09oNukmS5csesI/POLic07ia/0l55wEnfnql2y71WbDZDKZm1uyaLLh8sUbLV+60fIlG6+3aKN1F0MbrrN4o3UWb7jO3IbLFm20dG6jpYs2XDrZcGnEDZbBTNZfMqy/NOPyJV6+RMsXe70lw/IlWm9JrbtY6y2qdfj5N1tRHswFuN9hB1x14WlXXXjGNRexzwt00enXXHz61RdBp6GfEZqLz7j6ojMwjfS6i4Gd8bpLznj9pWdycE/4h4dbXFxxBqJxNrLUn2/R+HkYmor7DNVqT1drzV1bbrTu85/11Ddfc8nrrzqfn4rPPeukM055+cmvePGJL33eCccfe8JLjn3VS5932onHn3PyCReec/LVl5z1ltdffM4pLzlw73st9ppBZVt5oyhtsFiVJx4mg72oprvvtPWrXnrsW1934bVXnnv5haeff86rzj715ae+8kUnvuT5L3vRc176wme/7EXPPvElz0VzzmknXPSaU6+5+Jy3vf6y88945REH7zOZcnyNiH05zMnAakKdFc+pKgbn6qlIjgFt2aBYP6p+25BixpRHPL1wkTUESgcvIWuh4RwEYplB2HBhtC22lO61SixG0acoJTnUB66xxkakRgk1GqMjFlNeZ5VZVFZY2Vf1RoDUjUpAKzpUENqUR5VRRtEBlTGo3otxkIVrx2swGpEkC8BKQRiibDJbrTT0yqbFiAlKpmix9qnGiFisfPaWBCNg+LnBSMnJUNikWejwdFwskZgh40yooqqarQhY9UglzBAzpjCFv9BWBPKLFqsrOdPFUGsTELUrCjxQdUFpPRAVOCpzMjALbooOATUjIBkVUcOqNwJXiVxdYjB/5iMLQASoRHlFZ45bvjvyRWAWL0qgpbQKqsIJHXMRSCNPHttr+YIXQ63VxHcmoDfxPeALALKCt6LFrWBkmGjgC54JCVobKCgMFdfwwtIrhxHNhZV5JBB8NWb/yNGJKzDai1RwkIQSSaVsA0JJRMlVS+RRYpRm6y2EJgZQkMw/jOLVMpnY3nuPXa655Mx/ft0Fbwld+NZrLnzLNee/9ZrzGd9y9flvuer8t1x93nWh8xnffPW51139Gpjrro543dXnYYWuu+a80NXnbbViwwT1RLama171sue9/vKzr7n8HOiqy8656rKzr770nNddes7Vl5599SVnM1516dmdzrnqkrOvvvgsxtdeiuas115y9tWALzv7msvOft2l0FlPe9KjCWiOZKBNliye/ONjHnHtFWdde/lZ11529hsuH+ms11921hsuO/v1XXnt5ee84fJzsF57+dkjvfGKc954+WuuvfycMPBXnPOmK15zyWteve9eu8mimY2icsYIQhkNL5JRWcUcoMuzt0ApH0Ot5lfzI9BpJ77o1BNeePIrXnDSy5/3qpced8A+u6nNi1Plo5yYPHNSwXCSmaQkGOw5e9his01e/uJnv/GK17zpytcwvvGKc954JeWdnfHKc9/42nPf9NpzoTdfdd6brzr/upzL+dddc+Gbr77wzddceN3rLrzu6guvuwq66LqrLrrudRc//tEPWzwn5bpYhpHKono5QgpIJbajoCQ5g7jxKDBDuODkEa+YwRizelca/vHBULMVYXPnGUHY3aOK+xgRpghVFkDVaFVvpgZM8KaHRp8UKgxQDLjEJtmIkNKYa9YlGAh8lgBH4HBSZ8KitBmUNs6sAQGeOONYHTEOo4mx0EJW11NblYw+RIgFoVF71FhntVfEOI0zIxQlU24YAeDUNR5Dlvn9kDEocnw1tn6TYC3SMFPGjBEaiChWGucIoYkQGFeCMjFmpGc36IUdJ4EkD2aE6NRbroUQTSMIlx4BS2dsufMMbHD4YBfYboxJ4WIdfUmqhdbXQxzh1H1FK0pgmuWrBS9UBOmLSsDouW+8CjGEEBICZ2A4o0vkSmg0fB6W4gjfMQyioYxbtFgj4ZBN7SyA1Nt5LnYC9r0bOj7IbkqEUqyqwcbYHeM6MsVK+6YBWjB7bQUd31dmuTuVwqg3NBolK77Y1Bv+3JTOqlsYUwmTlbaQgZBxjKrCRG/xKqt1l8ytt2xu+bLFy5ctWi9/JZhw5Pe5996PfNh9H/WwIx79sPs96uFH3O+wAyde28T3Va5tiEXlBcfndnOYqfgRpU1d06Gi1HQ6tJg0bcakqdtUUF6dZU3FK5J7WaIY88OIM/DbMv6e87AHHfbwBx/G+LAHHbrAHPY3Dzz0odCDDnvoAw55yAPu/ZD7H/KQ+x3ykPsf+uD7HfLgI+794CMOftB9D37gfQ96wH0Ouv/hB0KbbrT+bFdZOpwlaiZdhQlvcdTdwgFNKRIlhIaRrRjckZEFVB6UD7k5RnuAZMsx8aeVQw/aK5v28CMYH/U397nvIfuswx/WBj4U2b8B0DAAHRRHM8oOi3YIJ6OEAOYSiWYaeE3449V+ezz5sQ97yuMe9pTHPvzJj3343z/iARtvsK7xn8SZVXAinOsgWex2mZ0vvgFM1VhXRrWuRIRqyhl5OnWDmQ5t3tB0jWte03lG11SGmi3a4GHbrTZ9aDb83g+5Hxt+8IPvd/BD7nfIQ47Izj/kfiiz/w8+4uAHQfflIA560BEHPfA+B0MPOPxgTuQBhx94v0MPOOKQ/Q4/aJ8dtt2SbVVClzkLyYIp8ZBColUAUj8RnvGpqaqt8fzdyxdpn122/7uH3Oeopzzmxc952onHP5sP3VNPeMHJ0MtfcMKLnvOCY4588mMfcb9D991qk+WTmh9q6urRbHJlNekSsQcL5TCws5c+JwAAEABJREFUaezeXM1vvHzpQXvv8g8Pv/8xT3nM8c992itf/OxTX/Hc01/5/DNe+fzTX/m8U0947okvftbzj37yEx710MMO3GvzjdcbsmNTfFXFyKNBVNFMnz3vcONa+guKVCIpHSXJ1ZFWWIKg5MEYg4SRg8zu6K8akT1axLZhsBlCzIC7HbEIhIbSIiyAEhdQVMXQKTukLsWCT8JHnrHsXMclIAsFxKZ6TB5DYNRuXKIcU3UJTWLZHdIH5FGKpwgZhdJmYEKMwJQqrCxIaYmoOCgNTEVgTu2FLuxssmy6eAgkK40xIFg4YYWDuqCsKVwQmemwhT7UOwLafAOnkL5leJdakX6MVigQNDOixCECU0wJY6FGiBeT6d2tO6GcXVP0ZMEYhklZqmiAMTCisIymUw/qyN2ELnk5lHC2mUYKRx+tqGCIJzwrqN6lwXZ0WQ1zYRYNHSPUme6ngi8BgOmXvOChe6xwYBJQafBilSVWoLFFNXILurWaHIxGCQ/1XmVbIZwQMo5LhUPvTPRKNK4qLI5D1OnihsUi8y9+HgEcAdwYtqQwyAFIkURDyYiVo+pjDB4EsLo8Y7pXCfg6ixfvtM2W99pu83ttu8XO226+8/Zb7LL9lp222nWHrXbZcctdd9h61x222XXHraHddtwWgtl1x6127Zpddtga2hUAzI5bL100Uf8PLvqmtt132eGg/fa49367H7Tv7gfvt/vBB+zJeNB+ux3cNQfus/vB6Pff42DogD3uvT9/tNnz3vvvefD+jHscHEeU4e+93547bLO525TFcfjQxMPWW644MH+Y2u2A/XY7aN/dDiL+vsEfvD8Z9zgofx3a7aB9dz1wX7LvdtA+ux2w966ddtl/n10O2Cu0/1677Lfnznvvnv/vxmJneEUyKixzX4ILTrRslrkXfefQFY9ucVJ9o6f5LNt3951fctxRL3v+0a94wdGveOHRL3vBUfvsviM1A8ZR/Uh7aBRK6++qMJjtRXNzO2y9xX577rLvHrvut8cu+/N3uT0oj7/U7UzkfXe71z677bT3bjvstcv2e+6y3R732oZfwO22w5bQrttvscu2W+yy3RY7b7PFvbbefMetNtthy003XHfZMJa3kC2pxcBCihm1c3mpX2kubGHoGBCCKKT08LBMSFUMASBGmV0gFBNK4vGZBiMWjBAsOEiENdtZxTaO174sa2ywM2Y2gQh6lBZGkzl5kJkWfNUjK7ZBA7b4arAcXiKfpBiYPHZcYHCJ3A8V/4SX0ISwFTxrUC8ujKQEw6w0y8oyS70VMwp4GMbw4ZgTOSxaCIUqvvDqwVXU4K5KHiRMiUfZlAqGHU4Q1AIGoFBCqQcNNtxRKw0wJnCo0bkHJwehUIqa1Ru5YnZXdg0O6ubOJIhoPBmMbLmqGS5xcGyCCTC4XkhljAZU0ROqggrDdz+1aIsQMO7KKIyi18KiKlbkIaFSswIrNmJm4XSBINRYTL5RykRmlWjNVwrKUqmh7Rw1m2ijo2YNqBY6ULRExYtaYCDhniAVFFAbBYCCx5a6a4oMtWqaxsUY+ANJka21Rk3cup42eyfTQDOLWikPHAzxqRmm0YUTVlGzRDiYajZuxAcwKuOIUmJbmspSIpAVDQJjxUxkplEBA4ZAlEQoPMxUhbX7YSGYTGMgAsTP+vwtm6w80wDBo1Q3Z1Ulq/uiUgJmECpoDF7CWbSIykHiR8G8nISD8K8aBiYVMgtlwqKUIjk/qlGYBUMB/Faf0268OeNSKJuFnjHfdDtPAIi05UamkSplFgdnDCQayymKUVGEUGW24RjYFU4dUEWBruhCwOZ+QJWAImIAWKsIg44dm7gRuPUfL2FKTQ7czZOi9ixtCJy/axMvkSVciyLC6J5mdMLWLRJxeBI9NI5jfvC8c/9aYtCJhr1s48AZs0mSYmUpuEnMdqww3KmGmbIZYyVTsR4kQrBpZRw6GSCm6mEtAxFWIreRF6syK2UNzrkITHWmj7G22MDEAV9iSaA0Yxye6pGrqJ28WKpDMDU4ppyWWJHIRYX9JkzXiB+92pqJpos8XTSZXzIHw18LV3u6Zphf4wYSfKmvwrZY/RiYqKwfTRdNjR7G5BK72SZtfsivCfgD43TJxOsuGtaB5oYlE82peUqW6cARwPP7AnyIpmIZfS4XKou86o11ZxEuDyreFkEZDFuTmuAKu4QMYyKp2VZaZaD32gsEvGRyiSSxlsXF9AggNHuGL4tCK8WKCcIFa2eyM90iAqCpskmLQFB8IHgXkbkuAdGRIJSFDWrZsgYEtAKTnKzkUVR0rGUTeXx8gy0iYQHBGjsv4pl4XYCBEgKtzL9xFUO4OJnrBdLwha7CIHeRYa0KXRaWVDYVOGFHQB/jnPI0ywXYwRDPdNEGOvGoD/+mfpylaACOjzNIa9CCx1gNygJRUXMXCkE0ZsZQDX1RsARmhDg+RimKGq3gx5ozNiwStSbYCCKNWJ6bKM3oG5WKdQtsSTwlDOqKXoYWGpGjxgdYye71FGHdo9klUqk3wxUlpcLoA8sZJC6pO4ZcmYFVdmPkAw7nWPGCb0Qefa1ojC7WTOkcgrqu7wBFLKwIZVOUMMlSNhGoSirqIyyG8IjqIXgKwsdKVHwk9CUxjiUA705oEkyFFHIYgQRWFMDmDGA6yTSlYY/NvQzc0DWmqOOLXhRGCJQIPWbrjAkaLgYwEJyKNczQlSwz3iKBwUi8q1FSCteHcSC83Aqp3JrV5GKkXHyozRIMMJgBlke0FVlMLhWhsML3bSgwcc+k3uzwoJyOYJrsTj2C9dc8UnmQBQQDASu5kBfAiV9Kq4Gxeu4wKpkqYE0rZjrOIOAxMaKpMo6Mmg5uk0FznfBlQ1V9VlpVj8YockpYoGgpUArPZjYCDy4PZSN2rXmqI6a06gxjIxAZQi42mceMH0enwZBVsq1GMKVVz2i2nxoQJCw1k4E7uoaHEqoACWt65Xqra5QWP1W1/kTCdAu7gq2oaogMIxJ0qETqKBNDGkaXCFTd9QFobGaqwoGAPQgyRTISri1Y4akqyoRhH5rB4xVRxdaxcCpEU1kJN4UZzhVg922w0RAlYXtIeNlqmbERyV12CSbakprD0Dn2kUWJSAWI+EZkDfkfbMJRQi4qASKsrcKkw0CoqKQCKJMmVFIzqyCDcHefcXTJbB/dZMMUhRMLPkQECN8oK64gsButoxM3SwVLh1CBgim84XpU8CKPU5LShrLUryh2O0IGTpJKsKiAg8HKCKEYNfBAGCE+apPdWDQyo5LAMATsxKCxoVRPYTtV28q/sg2AgQ1CwyNLCnHEplWyxC6qr84AK1YnD6ChrpSt/ONLFchw1kKDc3XfIohAShSSGB3SFVjKPAIW/0ie7xzdOnihyS6c7GEYYKSWI3RHiaoSgjyEJo6UVeCAf8AtcrANZIURS8MSnvKkMNxxpxEKhegFhHn8aYa7wqGG8LB4QVQGA8AkxRXBI+OavWUSo2xJ9CoTPZIJn7kqzmynUPDmE51FoMRa1aIVLGZGp/4UVQi4RisNQ8ulNleVTwrMTutmGCIQrRBz8HjgYDQumX8QJtQDShuGnUZTkhAydaVic8aEYsOGsrKYIqzV/xGBwKL1urO07uW+UQmFKoi1KfpJE3CQui52dy4H5KYeV1J0LQIpxcyKewH4OlYbq2hsPArJTiJmdVG9RVcCaRr1lAYYF0uxHKvEKDFqbG6l6mKOReLcZfYOJqS4lqgqyrGaIR4SMI3NGu2FKrykolNgoYEqB41lMECJU4YKBpm4BSspAmMmuxGjc2ydlCVhgqEeSowDXhDaXA6RkZXZFmyBZ2bhwKPCpILp0NYMoDWeMeVn0SbEhCqZlVcRg0OvEtXiGSYVBAa2QInysEJgSYjYXTG55yip88JfTotmqHDuAYVbkYA5MYIbulgVPrrKkUyMegBMGCw2cz/WDh4cCzF4iAFJyN2Ar5yauiQphihHeVDDitLWoEoQN7Nqh+d0wkcvzN0qHLGRxITNGhINXiKMKASrgGNKEA3iarFfRCnZ4sY3Ayi6RQpmKJfJzCHyg4IjQ3/bSpg6FduSyOoM1Sv7jEBZ7Fclatd0F5R9Nr4aWwA4o6lRaX7bapkGwEVKND2rpYTsU9aeTpmFUn2d7sEoR+Lkg1YaPxVnkg3lRU5VHl9ZKIoMkiUVQdhHuKFQZBHEQSl1V5cki3IYldYquYVIHSICqwdlww9o8S2mCoxNRD2AwCiSooSDEc7DkF0aSgEUAwxWNix+FC1c6EUHL3LFv5AFiMgWz4/IyNIkDpjIgchsLxkKE1CjM15oBRJHSQM9hEvgYlDqMYxxYJLUrbiK8JVbpAjUGncqb7JUWXy6FM8kDSKzi0oSpAvSYDsujESgIBgOj3EQQ6gUBI4RwMsGR5ZigUyioTCTekWmKZlRuSxHoJtt5A5HVIJiKjZJfFyKQnBmNECsnIJoRXepB8xBI0qWW54RdqewWJIdKhw7mAWGRzuI9XJCtoPyrKGp7ktwtsyOO2uDR10LUOLhLlaHhuX2nRkjZzEFsEO0UEoSz+yxOY0IJZgyteR+KAy+VWglUQMMrpI6gx0nm0OD7SphpgAioJGU1wVcWQ0p5BQBTCSLTASqEluKJhTOfHcy1kHujkUOSDKjB/YVK0GrhIsdH7hIFBODFARbJSRMomHmHdusUi8TBAyS1Ex9xKnUYjIAF57sJFwzTXmx4FncjSq0ygCGjUlIuf/DUOAxDpZMBxKid6mETmKsQcSSiMyAIpEwO/6eNRVMlIPc08jKGhlES73FbDpVYTFRBIh5yNxFkSRRmUODsgHoIjDhVoUDYopSkyHbokAM6EPIZTzzv0wj9WoqyaXgVY3Z0uAyXCwweTcaWVVUgLLwNCkGNbO6EgWYsfrDgiBFxAQQFhO+SgzCWBQPCb5jYTilWAeNLQ4jh5+JgNAUBJbGigiNS+HeV+ssCYVRxAo8hQmXyvrog6ygJihZEyMxRKNSZEj8RtUoYHkDVHH6Q+FSKAcyWPyLlgnYjIZxTikOm4dS42AUcda4ANFIhhIGiDh5hCIFFJ26X7iifEKqWlaEXiSHV2/tf+GDQ000RuAN35FDGJQqYNCQjFGZ6NUdqouqGiFkggsK2bM0a6sSC8FspZJYCRMdk9PhEy4QaxiMAC+8TAbD0LMksz6llVqzo7UZQQGOgY7sIkSUiKLeECzRIAkXAoUKq5HBl6SZFYsqAYkj2sIqR9FoBLRL7FOV3XWWacUOEJbLmisURSSlmTVghjUdXP98chWOUteVaOHcOturkAcpmwoSLxZG6F4rLAaMyYF1UHxh5M5ggZktX7SBMATuCGY01QPBQ3hlTA4siUCHELoubvCWlfIMP8MbVSiICkMekTr7KFlp2BzWCEUPP1uf5N6UNAUbPUKiUH20aMqs1/1B7euVRCxY9rUnKhjeXwoeV4w4CLcoSBkFxvEeSo0jLKris0EA3aOhAElQgCaBZqoAABAASURBVJxP52MtCmCmhDDGiifKhlep8eqDAYAhgExkroHAABHxNGDIsAWUaegG48Ey0aGiqoZRxb+QUgVVSfhhIBoS1CPn9oBEjB48QSRZIibRIrIrSiMsU3BsCR4IOEAEGcWg4yoAzBAJsZKqg1HY3EZiCAYjWbDEDwVcLpiBdY1EBVJGVEwcSoplw531tq4iCrAASBO/sNSTMOrG2aAY0SCKSMY7EhGZMpqZggJLhVHlv6WNNj7jrPzm1IUzi4RmDqIgAOCNMrnHnpgVA52dQKRY7mAY5yknkB2OVSnNqa11+yCb+E4AKogBGS44DKGy89XdzI4ahlosd0FrXVHAQ9ETImWwYbMLVr38bmVwEZkAZAcNI2SRQWldBhG+Egk4kRCJiRGChzAygoBGvrAFZC5B9+pyB1nOnGHo+FTkUYnBdGJA9owfNVMNgJw2KJxowELF5R8r68UHo+gZmMgCjQxF4SsQeOMSJtdLqKSsXrOW5LA8i4whApSyMITRSB2FSvgym68nJj440YJEK3UserhC4HAZuf9aaK7oJNviX41chUdkaQOsxGDW4RKtYJlUaDPHYMonI6bWVSW1MbLA9VexAq8MERtVdYoaT83amELCOdrgi6glGkPRCdj6MzCGVrCiABisgKlFrCdmFM5MWJuF419C0yE4BIYIlXrj+WFGiIpOHfGnF5HRCw364o3FxDFSDlGsAXEIzmqtyUmhtBwTaDRAq4jBEJKIhQdBrETnOhaxhA7YCBHuJaL1ygpGyusWvVCLh0s0UEjWwlA2AlJJSlyV0DibgMFkhlBi1ay6IKuckKXoxRqycxVRaDoD4h4+RRbRupEiKt8KMpe6dobsUVRklvnXGY0MYCuNEUqKIlqo5ImDDQaBCQI7lHAWt16iRrpTdWcxcBQ8O3EUYcyrkKgJ5M4niwUCI/eQYIZTmmsiF59v7HHXFcLQYqoqj9mROoOvCjjeYB0XK1lLFCHlAxemyIoaZUcFBp+rQmGiEXYogwxPPAmPHgmLqwSPrjMJlLymCQsmW2kEBBh3li+PYgkdAwRnkGbTSKa00ugeGZMozdwKlMqdgB9RxUQHxgiQSsgtcnWoBJeO3tEMyMA0a/gBR9nlnoDECqjAw4gpDq4+SsosGgkzEhVIaaCwbnI3FEuduZjiCwzokTzG6JMX3NDxtbBkHOEpWMaImRMtUVLYUaXC0qn/5s0gQXANFEy3wsGzoi7FKlCaNWfmsOICb5FDuVvMwVZPF1DWRaAkjFhhsMLjNBNwQvDsEpZG5xqnOPMmIEuVaB7VNVbjroF3KamMrFw+d5ilkUhBjfBS7q6VxogbI76MEFqWHIbulEdhUdJ7QKrBgtRdatxONKbEBB41qLGrOFOgEEEZO1UqytCIlVlRMCSKinx4o4LpI3OxM90qGxFWJRoJnapQYhG8pS4QWvBIQRZr7iKBRCNGACIsknqsMB1DwK5g6ERFZvcgfIoJChhjJqEa/RYkohuntfYE7LUEEG2uKam5OyG0RQB6dTbhF7i/VgSLzfRUHBEzNWVE2wuBxxdCSgplN8CUTQlQTBIlEmbkYxVDJ2GCadRMBGhhdWAbhujVyB0cSTFD4FJS7H12rOriOHSPKPAETzBGvGDE77d6ZFGvUJQ7cHTsI6WOKqwwvXiXDRAiEgRD0hHQnQCG0EDEBY+eUFAYtPhACH3saCIhU2U8MmXGAhq/WFGGG3UpvIqCICCpKIb+IR6GJRJuJOz4Ei+kQC1LYRRE1fjYhg8EGy6YiN11NiosGVHHWEKowmAHll7YeNwKi9QZTOpSyoHhcydA0QCzmkhMyCGjRAMROYpkx20WceH2cg0I1O2sCx+iw1BgSA2LnVckzIwC4gYlMppIyZpOeEqMBgMFIEfovQCQO3xPCMN3RHAwjLILUmalVBjhT5+9fiIgcb88c8FgWlFJL7YzOIPS2LF2rvsmKkWMPDVUt0YL2PSETcclW5BygImGtiwgITxYjHqLoQuzmhqAsOngOiYzckwiZjGYXhiL2RLEQG2aNXcNi4KByBAF60wVIyYKOKYaJ8YFiuYeHog45gUFUWdsI7R5qRJe2VYGiSosj3USJzmjlDW2WOBnhWR/WBvXIYDgS8YHLAzBgMN3KsaKlTkWOpEriNGFsDCjOkGxAsUl4eWGEAos8z29OptvDDDFUpgk808JKIKZYMXaKoJ6hRYtB820QAUOHiSOoBqKKviKNr0zFRifW+rRCD1G5NlRBIa41EzLinoFhT68Favw7RrPXJS5hAgXKoYS+5MVdXXyoqkC2vkwgyhURUygyhqj7b5YhB4ZESpyMklEg5cNw5gEUhihqPQgKwFFq67hEjGHKgaDLQqR7IFAqUo0tpTldkOCzMrrhYlKqxgMLpoRNURi8zCgnFGmrgeDi0ZfEhpOyTdmcSwMCo6hEzUomFGvtOJ9zpzKmYiTkWlce7FvKEK505lL8S7YHq1GEaBIrtjGAes9AntEHfGhUyBLGhOwnBkDh2Gt7wiPsnfcOlXW3ON2JEl6hVWxYis6ZggTe4ceipEwnSJyfytzKl6wiVOpPE0xxBnvnkOzhp6wCLjC90TMDVD+U5wEN3zcZsUbjGzjE5ZFw+MCdGSoPUrsCjRdAh4rBlhGZKXhCIky+akLvUzjW2i8ECEJo2gjDqZTADAASgwpzoVCDIQwSqSa6ToCedTOxkrgERCvmdlgHT4ohEwg12rCxAmTsTHxy1xudYSxKC6VJQxoqWtUwojIdMjCqrH9FZ80JVm0DPS4IEEYYiFaFlWZI2MJzEXEgkMmVcDhMgcKMpF6d8m9MhUzgrECRpDyyASFrZCQgeue1opNS54ysJq5Sg6NUJR4U4SAoCpctNAKBqzSYdULIZKzKK1V4z1DVMJhwN41DNEQWiOI3caGMOBtLl8mROpEAg7T64mu92A60wdA8ehAcAmOPnUyzVLAxY6tFgyRYzVKzKEsw7m7g4hYbOUIGhlXlPzQ1ZXFCEy0LCAibKUTBhE7+FCyoGciOZYOQoHE0kDz5EQUhsKBFJDVLL6po4gPfCKCM5oFAm4RhNiGV2YGiP01fljRVToDSkzJ0/V9wDSbx4lEHAfge3YZDll49ys2CxEVOvB8uMY3iiKnhOQMoqHlbQ6KRNWVxFG+eKNAdo0gRqQSVsOTk23vTIYqxhSeaZyTKepY8mYMHyvHkSk9psyjQ+fCJiUmSNRFptEyjmWTvzAwMY7aPt7jhyvUlQwWLkCZkbKsPrmfYOvLIEkVKNIXns77GAYWKCOPZTd3fcfVeApEi++IwhsG5z5KhuiiAZpxqTKWrszdwAQPAeiU+DG4ENErClhTiDQyVO0BtvIrSFEFDt2sDuiVRAbSyTJNaahrbU5SIAsrLqhFK2IR0bBZLxMGdkBCVX3U2NAH2wuzZVsM93TAWmgW/3q6Dk86TCOPqS9GMOotntya1ElPnq5eGNhjormLfSzqgEFfPSRPaLEGsoDJlSNEic0af1BCOVsaHEvj+0wB750YKMdKEpKahUQZInQIrYIeZ1gIV0Q2AKZ7AOheQqp0F1aQSiRhCyltdCkS88piRMcqYCAWMvCAKmBEF8zaOE5FiqNHQKwiMymiSZ9ZUUJRiAgQwbS2odfMFx0SBDy6kStz4zCFHO8Z2hgQ1QvR2MxE/ZLhRjfL+qtW4VlrpnT7f5kVp35oKaAQOyhD9SHozpGWdZjlSigrSqekLs4GLJSDOTITkfn+VQWrLLL3UQBKvFj4nEHoJtldSfCOyoBm9O1CL9MKClYwoaqMlKgxTJ9qgYeRbHzQlMy33YKDIYRhlZbZKmAxqBjLGEqKDgUco2auTPGNy5hYGvk4iZaHCj47RjfB0ICZEdGICwDiywO+ikWjUjQMeVZJJNgeYIEhIyowQsPqecRcsFIGlznyHK2IJpDwJBh4D2MTSnQi8GwaNTyaxEUr5FIa9pFBYAHY0IybAJQ4pSjQF+YkZQoWdUXLDCALr5INjzYARCah6BWFp1MkMBhydAaFyKRZi1d1fhxZd2fuCUxAMoCLHsGzOXVZ4CxBsglNXSDJRRwVGsU3LkXSEn9wGy28uGKKla5CW+JqZ8sKAWOowxJ9FpgggWMqwTMorXhIRr5SBB1tAYirNI44lhRhrSyao2RWd9WChMYm0ChTEoohzkFUP35RcCQsUBEVPEnRORLLiTe+lKeuFS4mCh0TZKx4QQgCQ6QxRGcYKIIRkzMhzVzA8ptY9CweCxUxEhoNzBhtdCEFGnio6+WOJimaThRomL7xlI6YUcx4QiWsOLlMQ73Wl3SOFTtqSkcCBD+mbQDirAoTrvCFZ+TbHbHxHEWJDEWXFCVnrgojfCWR2XihMW1cttJ4K3p8QpE84iiAlwD1wBTwAZNk0fqgrk8QrMDQ1zjdUwBlFfruZUZbijVecJViGNRBomGAByVCpSrReB3jGCW+1BkOF4CQRBAkUsFg6lBqSwCUlG0gqq6XZEc2oWbWMkzP5R4hf7hCJSkjPRQQsKhg0YiWKR2WNKKa1E8ojd80CniVxENIaFDctxkeMAZw7tag8gUFKwskA2DitFhZS6DSqOYBUJcLmRPGBYaiYfCKqVi7+PmkYFTxh+nElSqNVgyEFCmkaOJuCkZQfgQoURAIXPJLDjjSNpSjFXW+mpC6WwtZkpmoewBabVwzcTRrWKgTYYQ1JygpUcJ2q9qAoqiZTSMKVRYO5GWpyIVULX7lBlIUoCJvFwwjtFGg7TCGwsPRG+VQNKlpoZGXIBUxlkIAJnq4fk9iSzc5iyWWYNzNajYa0HjEhhhSyij1NMVOGGUQANlXArAyFa6iVaM8xUMdphqtooFWnvOUKee2oITIxdgpUchRitWACILQbaN+ZKMbYMF3FH/vN6mUZLhIBo27yqK16ko4mIwxKUF6bh5LPPFFU90BDOuFray7okRAO6VDo8BCxMIrbhJXBYZA+WJhB1W1MFcWXl0pjUoECBfCOOuFlalCkg3jKETAEYbFqUaxVrFEldTYcHph1djiWg1zK64juwSqOGWeZE6AjTB1hCh4qCY8iSb2CCBSNNEpkU2OEgUoA7hGJkDC6tFQhFTNBElFpwZCwJQppKu6sCAxi4A1cxurEM0DR4kFACXj6x6wJ8VM0Eq6zmIFSQwgBSc6VtGoBigLlCiFLISBSmkwQqUuhYlSfN3IYjufyGE6ggDwrriJMVSjUkIJkcuUSIj8T2cRMhJVDTbWfr6S4DkQdlVZb2R8OBVVz1dKIzJhOAMOtUchGnpKQ0cwotaIRMtTTrgCUkQmzkhuNl0FcJw5NUyIjVRVbuTAXCUC4+vKPUktxCEtttaTUTtMSW4kEwWLCjrBdGv0KAqB4iO1smzshCGFsIQzEMkioGgFEyu+0fD7KdKgV2DGAUNEURsBVV3VNTZCFxMgKfvcbXCjM+4wPHcmJ/gsOYjA0Ri+DUVkyovZKFNqw1AwSl5VFh5VrIQJxV+pAAAQAElEQVQshSFwwamEGY3LJawAWbjzMEWkRAwkNBLmccILcJF5php90WVdQQZnnGVAMJGFIKk1akWmaOdsqQZHUjBiBQ8I6nlVLB98mYaVLegwTlzEIbIEX8QbGRxRFsaUV4Bb98QakIvloqmBtGBJqzxkRRBWRYWVFBVs9wVWVAoPR+RGHzQM3VcxoUApXCV2DxV4wbt7pDzBKUziGi7h0GVKJqWG+MZEAR3vjNQZQIBJpp6B1c1mMKLFJXlVsvmyYWJRFhfSlJWkJMC3sALHpAI6Y1l/weLDrknFP0aLWEnjGKODIYlESEnYJca4FdECVRpwV7cSCQNyE4fO44cWUx5S4o0mxjgtdMAiKMBkGcMYpWcaKfqOQAN1UUJDEWaSxMUgvlhjwc9c22hDm3igJK5WZsJTfHUXQAaSqNmWzkcGRzFB0s3+lvqhx5YlAAQSNzSxFZESEV4OtCJhpKLOUUWciNqiLd60SqkUH1NJ/Y4lauxCiR/qMGgsNbkpyhISzgSLsqJsfNCXByxdRN9DgULF1uDRFcqZ5sbmVmACraRo8J0BhS5E+KITqufFodzYxCyNx0pgALcWAzomsnEsJaNr3FImXKIqkGRo8KMV72Jvkhpd42tvURXpRk2TYNCwtiJSCYZwuJGHd77UWFWpmmkBx1dhVDRRIdaqMfKow4UAyv9kVCCpJlkwauytmmiONfc21hJjd0NbPXVUMKOeumWKqpbwidNjUA5BBWwhIDNERcozS3Gx482piSkGNC7CuIJsHBoMyIEpCwlMYz0UI7fwNeBWrBd8cOlq/R9l5V6V1lqJHE+ZkOFBFKWCqMRRGjoyEzRCAx5EeGIFmOUSHo0JwSQ0pQE/RbGWUYko8W6xtsrisLZCT4UkhjGxUEoGXz2ChKDeuHByLweRoosplET419S0AlLRcgaZtOBAJrMAsf4SXC+HDQXEiH8UVmM7ekCw6LGib3RTkpRlEkmzVpVNyUmLZVUax5xzE5EQbcUvGbtLMZoopIg1EnOeJZQiR9kW9UlKJUYu83gQpqgnHZiUAdkErGkE9eawzogBH0SKx0QQIai3rAJjcc5O3SMeN4pvOEKYRVrOib0yyyRTtrTEBkoo6EorJGBhkwARCIGqbEfbSCGKHPmMKLDip9m7tiudnQpnEnsU4psgReh+MyQKKVRMkoYshR1Ew26gwA9+ZBzjFL7oULFeJvIGQjd1j24ViHtewbO8jIUidRTZcWyYULsUOSePVF3ZA8UQUbZ6Qxg5E6UrrYa1Kxs+QRkNfFixt9gKCD2B6Z75VhADZuoPiynlwXaL4qzeWn9BpD7QLBNlguT5kVAlgClk6AJfahZOB2sRRgBYK3kB1TyJWAjKId3sNrOYA4BtSpzEjalVxOy8aKTpBbD4CoN1fDriQmDZJkx2boCTCBNBtsXOFNE45IIv25K6tbUpxRQA5UzLJVofElTji7Sr2IYUE1eCdqsIUqOiCqPFNRSLZj+prmNSlcAFlmUlNqEKuYlBgSdvYSkYSgguixF+YutmG14zPGo3Wyx0IvN0l0ALRr3Z8shIXemI7LNlD86hamwkqpIpXaSaqrkfV6V4iVUQ12JRFEXRktGldHPBuq0ksXPGEz05EG1cgIqW8OyDWRiSGoO7DzfBCNAYmPcwASV7prYG2ER09+DEhVXmXyk1WZI5PvjuKtPgikqwkKFEYfyAw4JQ9jASMCrKQsHCZRQBMag3MuHb2djgoS4yV4XrAwwJqRA1fJLwLZU1sqIS2SpgsyNQ+OKThblYEOcCh9cMB7KmCrasRKUwhxtjw3asOPcWrjJEOzJqOKHKVjBlBSXDhZxVMCRUkbt1JVYUyYtYdBCMVBUL+sDQd0KEugGMeuIg+96WMFAYaaY5Z1dr2QK0HazYB3N10NiJK8lsEMQsDQhVZpvQxLXsBCSP0XA3CpvMv1aMdoOVGMomstJAxko00F1hdlHVsk5Y6iMKO4+tLHYeg8IxFOUBJaLgUgxBmtRHIhcAFsaiq/j8Yp1oip4w3R4kIOIKtbFxx4p03Ro+wUy+xiPoSqpygxHHhy1PXRkZIgojDz51SskholYk1ovi/8PWn0B9265nQd9x3u/3fTsgAgVaqp2ciE3qqq3aLlfVtrZdXS2tVRcWsUpXUWs0JBAGSyJFEUe0MqmkoyIOrFZQSwRBQsigwQBWC1o0gQwkJIQE2JCBDPu9z/6O6/4/397aXs81nOdxHudwXff1v//P836bwIV18zSrnD4LhyE8s1q2PmWwT5TNd4OWnngNxuJGMYej6tyjNV0PjsHDVB0gmiDmzdwHkFXZG3mJTTdReClTrZYOgEhZeZ1McjKcZcaSTRsrQcDXPYZt2K2yTcUrMyIfZBoZuowpqIS1tcXIAthtaGYQjCitcm7s5Ew970NddR2jc7pfu3tRhEn6f45OopzmaeZEOYjJh5eBEImf5SLCPrNvX1fNmHuCJd9SR81Rm6inyoQSbXfKnFjPEFIxdcOYbThQ7EQ0pNaNnTY7X2jFcNpucO/ju5L26cTz2PviXsbNaj19Gv/mwjYzSSNL5cGI37yzV8KqH2GvIa5p3fkQuFumuZKzRUsruidNOqz9aNc9o8Rhl+PMUhxkax2WOdIKyg9FbS/BTugcLwWQ+nR3pF0RwE3pMA7tyMG7cz/mW+YEgpmOuS2snWuri7tR9z00hPsl5Qbv5B4Vihf4mPgW6WLUSwGOZZ6qkGH8GEUz8zspn4p9gEsJ0ilmz+mBmiKK7DHUpWOiiHM792ZiPpH4EofTC0zO+QyV22iHMsqdp5SjxwxDm8l4DOZ0XKNlJhfzzkyeRk0fXwAs82l57MbIaY+AQHvNLSP2Ws9cfuaJlUbfgCWZeTfaRe3IEMbsNM2ZyivgXGSTMPxFZXkQfxvn/Hubwy/SgBmp6LyP34xl+b6EmaaZgDPjyNLfeIgXpyQjQR+Go5+DKPf5bCSMCppck6k/pdS0bVpqUlyZG60IYYbMbLlGS4ZoPv1Mk/5Ec7JJ7St6hcoT7ZqTOC/Qxplmhq5Q1kqs9jQ775IazkSNJiAKgcH8kiUcmj6ZRKhY8mpuN8kmzFKZdfvy6SBIFezy92KefbRNCKyAtC1jMlPm23BKB3Fikzmf+gxSZiw8zNSJBwi5CJNJyEmOQNSjXaP1/yrARUquOcsEms4oaZK0janDoi+C5eM+TKfvA5HtJDOuQV4Yy1TcSQ+D6jubI3AoydxKsASYyXWlcxpIjD6cANqTeAm104ac5hF1kozHYVwVMmdP184MfSdtz6cFkqPXT2HLj1OKl5Uw8JSfkJ3myWWZMbFi8Akne/B0z/VrpCyrsWVQrKS08ZyGmqsa2gmfxr5y4nZ+gdDyZwZhajBdCWnytGu0zcQi5uUIJzldGv3IU2Ay2IxTvrV9NJTxETZOwmjr499dE7npQXr6Ki7dd6d6H9Ozy23C7LFGm4iYtwaXOvxOd2IKujLv5so1GjnkYyXfnGfsKDP6RDtSlmps8m6uPLRMTps0vTnDOolVCtzKlJOsXjMHiWWvvL57JmocTudKMV0XpaDxfOIId5LxE23HFEx5OyetKRrDNVoao/pWmcnEhkNwltJFRCNzzQEnOWvm7WeeVnUEcXSHMRfPOllnxOQwmqcZy6Rz95tUykIqzJofH0JB9rzW6VdnFRdgMpP/RLPJBKbv5ooddMzOaaktGnsuUEULdS4TNSiVZl9S3wOZydAtaBuriBZCtC5rzTRqEtFefPIQs7E46YkfYkKJ1vhKHaKcXdbWsADmAqXPNTPRPw2TRE1Gdx8mj5X7NSClRKv4Lp4EIc5jKl4fO1In0ZM4vTGdTuua65o2/C65gMNGSRvrXgeEdCuMmSPMKWQGoifjxzysmSRc2XSyLvlzcbJTeWDKzRAkIBKSns2RqxnMY0fwqVGIlkptTwNlzg8SYbTLCkquaEcLfaL1d0xCu3FKmfCJ1/JEjGiEPKAlm1CiqW2OOJYT/GidFDIYp8toB0c01b3qmxnzvuEBtNN7kqMVquVVRuiYtQqwExSdQE2oJ/bBow11FmMKMedyD5LRx3zqIkdDizQvZvcyMz0w5Yg+Sa7RLosgQxchM5nEnOQIUlboklRScFLBIM8K0CN8Pq53w++wnZfZlIlSvTWkbWilWV4vxp25FHuMs9M1fcn4UMAfdWcmMSaT06Yuk/TJbmaePu8gyphcaYdfO9edPtwGmWtrmNS9v7COBjqEqy6qoiBQ5l4VVe4AR4KKW6G/qhF6oHOOc5n0Lps2sw46vYcyDVJT6wildU6FuWitipDkmkxbhjIZ/Urm4JvRTL6/9Gg9Up/bdzmEYQN2HutUsJ6YmWSMTeMRqGmjbk4BgnXbbBM/Q7f2Oc9WQPKNdizRxoYlzmPqsiagec5uJk+j1BQB0mO7j6CsDIr7bNa57jUzrfCaY0s8uee3X2KAd05T9VlBChR9ZwCTG+JaeqVMJVg7K84kWLvWJdyezIOcenay3XK0I0yftHrbebOmC3MRGaour6MKuMd8oiKtfRzrMtFPryzsYU6Ob71fQjJOuEAmGpp1cgJMrCfDZKLtmWWpA3kUfJh0ASGPgMpSedanq0JOnM2LnucJIYaj0+CrHybEx1Il0qGlWUpMmQGm+5kKHPXim8csAoRtd+Dgj/thNMmgRpsTnRDUPJPYJ0SnZzAQDiOacObTb/NupCHEesbJS9lwM0Qcy8Nys+b84fmy2kl64RAgtNJI9PO4K84UfJDjL0MjQlh6DmXRmm+OvOwTVugBFJGC2QwsnWcgNJ0+haI9wuwRF3oZR024rCw706Oz9wwQcnrMtoDRNFNzBYOBkcD8Jju9MrtN/75BrG0bEO+ukshX+ubMDVj8Vcw+x8I4rcLKEYcAWNeAWx3PYsIy72OkEOin36FzD2slofUcVCAvh2xO8wSgb0q5UuAKBlTegTq9ygx/sPdEZ2T/xPAwyckr2B3aoFrbOeuVtuCwxmlYizFJWcmQ2bwYG3Y9dkF+zmIfo7lWi7MtRwxKpYiARZy+SqQJCJLTBBNQFU/K4p6tzUxFQxchmfOzaCuOpdAzsM+DVqRereScVJlyBJGi/Yw3cCp0DJKxjzVPk3ZJxhrHTP24A+qaM6lWSYdm8jhymnIjDNNRkzpl72INGg2/z4fUbvP20COBk0Qg6Fz3rTwghpz2upQu2bqv1AS92ms82pN6KbdYNR0kVdaRipNQNpRot/H0U5SaWfnoD9xyZh/8hfCdQFaaZGzAvJ/ef3rDkaLN4QAO7aXxKayI+has1bib7RWJ+oS8ASKJGk97UZgAjzVAI430jDAsPYQzJqP5BM6UccomzYk0aRtWLDnoM1fStVNiPkpCSts2UNJZRefbLE/bs4NIv6qQIGeV9jY2BQnWvCmEdv6QrZF4kH1oiiq6TdWzgq6CntNTQ5Xy7Utnrb+BMzTfnwlai0ky0UQ+q7hnPVMybYcnT7F5lFqOt9jeCgAAEABJREFUkeBR8qK1xy16qCJK/tyhbBlpXb6ZJrTpxjuqqFyHUrzKCN2ahZ4TNm3oQmaLCLLFOq3AXVnaUxuuJWTGvBow3cCAj9AUk6eJoKjzu+01Wg7JL6bkzYU2RSaJ6rCblizgSQHx55M5pz0C9iPA7rc9OjG+wyY/sL2s4g6sInpEPaK1TxzreDAh8kQFbKuBTfoDDiHp1Jol0tN2dk/YMG6a33gJ3UWOPBFkWQgeZZWDYCTFIDEwqhIdxzESRVjL6YSmPGMpQD4VOminH8vZW9FnyPII3bdUJa44QPSTDjqejQp2++smU17RQ1iyKGnjSDzAEpJOHdH4AQc26TRaN1NwGePTMl0TZgOtucshoh0Wynkox7RFY0L3Zg5Q37rcilnk7EFYaWScdhFTWp52I+WkTdt/ysoNop9gXXO4lbyvMqbnjjThsU1GS5e8tUOrUnrXt6HUZMbIx23Pk4Kd3dVaAXoqvW3mUNcmjifrMp1QhKeQ0ssc/l2buJbhi9mlFlpdLG9PPKyiQWy5NDk2tRYytmOGScehVrBcBTOvH0srhFs4TaUTuXWEeZ/KqQSRTmZrnrYotR1avT8WGNoFc1QkrOcWD6UBNt2vvHdcXObTS2Ylx5Ho8qwgfCl9Ru6Kfgjpt8qd2PmJmodZgAvKbm1PzZAGX1YudvM2+4+brsfjy0cxlUe6p7D1V0XBiKBmByjgzkaHNflaAx33umEz9+l7wPp1TFlRk5XvEdRBW2bqQ6CHX1YmKzzsSZopCRbvaA9MeHUfPVtcv/PXg1WPSnnEFmn3x1fzuNSgIAZRN1a0Wkjy2hG8usEi1L4BzEB1n7noqbcCZA3BW+e0UVH5E+BNZYhBkaX0l+dx2YWj1qf1FTxqS6xQoJT7MEoxahAVh9lZ0E+cFfrBq+7LBW0rl1VnX7jDjgjl0fDd87Gr8QVR9WGFYRJY9MkDTqJ3mkAmzde5AhlG+oy+ns1RlbMqSESe4O2SD0II32dTOefIOIWX+zC2c8Rqf6y1hXFr7M5OsFBnwKmtew8X4NMjIHcztFbM6o91+AyD3JZocBEXHmPqtwkxpTGlEPl0JZ7yiz1CXu1jp0e3V4i5qmxdAOJ1ztmJx6/Tz/xW5PPUqrV6RISn0wnqmEYzrHjmHBwi4ZPsAPu8aip3sHP+jPmIop6V64pT97U1iWmPpV7eDYUAJ5Qqaya3TxPdPZRGm06IT2cPzy7W+nm95KidPxbuZqnLfQ7frphUNA2rqlcvg9+6AQ/id72h7YumEuan25KgAiRzWiaaiVaZRN8OhQ2hCYlhXfuwQnLakma9xgTfQcgZnPJxm6nY4+tapV5Km3WAsH1sDT27OfxZhlcn6w7wWB9Dw5S54SZzZgh1sFpq73jbq7VUlnaW1qzoLP7utJyYs7GkzdbgDO3gfZhHKq325zSxp6PasrOeRcm09laOj/TMOTE3z2NH7gbFgESpAtS38agK4j+WKrWddcxKMuOGtUD+f9pkdhLMjUbc3gdrWLj29GcrU47gJFcVw2/rOOew0BmafhHbKwcpyGkABc9Ge+o9Ihs+LBiy6nSRls7oy3qTgPO0aodxQj3aoWd5bFyalbQOu49LvacAwrMc/FhxdL46W2XLsXftoLwW9VDa8bjrVYzlbjnzOLKRquziqtmq+xAKHRNBBzaYkfgcI30M1uQg+TcuCyA2c7hTKdrUcHwODknpphqO+jaNUPw+jVMe2xTreFRZKzxRo/h9PAVGKtlyMizh0JiKv22hEeC1Ln9b0wE5XiVXspk4LcGr8X+FQ2x3T9CZGu2p1expY06j1hRBJhowiy9gGBu06lQI3Kh9RBYiKGm7an9ApEa6mAXhLO9jLQxCqAtLCw2k5kJn+JWiHmV5ed0nUZALHMJBTDD3VOHhT2lXAp6QWZf+ZqDWzvPYWsObS2MUXLso89jiko9pAyUkGX2e/8TayGHimjY70BEe0Lyt/2VKGgwd7smZkR+V4DdOM/WZWXEqF3qMxVYdObuQfEntb+uDRwH70BjVRpkHLMEedQcyKcmFaCdHO0EfF149BoPOlBOiBC8dpTiDLFWwhoVQ18FwBCCxQpcS7fCkir8FCm8Okobt4OCSRFOY+fRrb+ue4W+dp5hxMg1a3hnrfIDNFxRnXhiooohdw70VeBJEigCHZHVvXI+wTfaaKb6b6COId3EdtpFn/fkiEJctGP/x9JSIbQMyC1w5SIoXSleGQOKSR9g1kBpk8Faix5PhfY8o2qetEzJ+aeUz5qYPYVVl8TA8ikMbJXkK4vpHDeD78Otgne2hL9+bXcE6IWisdiSkGnIwyD0DSaSbmQh4x2bSdvVoaGQupT21bMYTbs0tjakLUnvzp9YKTLCm4Lx1W/r0JDwj2PhbVdYgq5Ctvf9LjUyLmOKpdfNGm6oTrb5d1mRIpvM48oMlh3mZ9U0f6BEaGc+u5SVcjRr7DWXfrCGMKTvJYRxrvd5UBimTWu1wo/DJXDPmydPe1sa5PQloI5+olZvXGnu2Bcvpx2tXoCvpkeY+0MhxmFh7xpgjyNTyirwT6VRT7AbSkhAmRVkTEuBY5wDSwTazB8xps2s9U1lHIcA4uySDnrpdncS5jWifEWRexbPck63HKrFXYddzAdbBviaioAEJk9t8O9CNdiZr3OSdyB+M3qjxj8WQANknR+hp3sfHKRY5ssjSTXONp4HLhEoYoWyXxNoios3UrVhNR1HVIQBVokSbQMfbNFUrCYndc6mR255AAzhCcqJUdxz3TtqhgxFFEjeC+Ag7yWgj6VSuQE9GpyQkqwjP1pIozAORqggDX2DiKiEXbN1Nmpz/4N2HQXwhlbioAJsgOqi1dDsnUhwaQLmEm/WhXTAcdXaGOWSxoe/lHuCUfwKaVKI6gpksjJxH4NH/R+PyjxwdTmViB4ObHDAhO721gOqbPgKsB5moZPJuJE3uEzkpWM9jXWfFXLQLd6lpkUwQLktEPRgz96yXZddiVxCe+FT75Tjp/+slvmE0LhZOLWY395IjOMsaMcnBeqTs3uVMpwjyeJeEzDjZVx3D7RFZj3Av66YnvRVHrogX0AhI3ROFkNOogAmCXHfVNXEO3GhvGMi2lWLlUVo63fPeHdB5VM/MHMM25T6/j2wmN9TXMV9RNxDEByTfUtxL2KTUU3dl6fmywslR67gPSU6p4fKEzNMEAZH7XdkAe/swvB7anjhOaFlWKDWypvCKKIGlggBR+5azWfzaTqYqUXt9UwJeg0yGl/xdhoXfgXKyH9vxFd/6uECbokvhrsf9muMqfO7JuQYi5rRtueHm1O0up+1axhBavd1jdspsGZD1kstyAYcz0/EJx51OLWCartYtPW0nYNANvOaYFm/bvCKiOMP4kLN57XdyPiAzZysTrX7AZz98rrDmnGStgs16cIcbGy84u3WT+ggcmC/WFWD3fLQvWe/qTEQbSCb3ibyqJIu2gwIskrZH2PQFlWNdc5nJXiGUpYCLVUBMhGKbN2uLf8DOby7pqd/huqSt78bx+74iR5ZsrQ//whlqbA6Ly9xStgbJZk2Fr5RwrNTcnZKMcyan6hI8ub6Mq4q59pxt3hKmmVV1D6xWfDIksiwkDgOyCdCzOEKN94wabfeehn5oCIOxqZC2WrtC2uVhf6xkAuMRrlu85E7f9jji3COpbhe7oE7rQTAlq3T9dlgqG2Fia1yOtKXHWbgPldn3XJuctvQKI9qd7c/k8eVY4RCOtTz8m0FW2kSlOlpDAwfq1JPJYV7Ol1UHHKRWAfRWsc0FHzub94J4lElBs5WJUF9+18rFcecSP914qKz3cNkm9xF7jMyDgeiwnNOxbvkCnn6d2ala7/KsqTDTSLwB3GwhV4st4vaJt3sokqeGlzWU9sLGICqnvkmTXRuPeTeTts2x7qn0OVQZRN6ML4QdbFRRytiTMXNW2DxbqSrQNmDHS5i8RwWcvEeU9FoTv9ZsWU/15dvgPhvMysudY32lEKVZT+R9P7XeJifh9yQFsjeBEHtd8TNZyuQiRKim89kjvlU19T8Bsw3CtCmNC7nWnl7FltS1zzIUUe+67AGxInmVLWMd6U70brz0aOSHUbo0FP9VS2U6znCty+S+G0SaFYGjeYIdQjyTo5ioHkENSPILEneQhW86ama/I0W9by5kDIKE5aR5Zaz3u+78ZeVSBuuiqZkL3+S2+QausqaNzViT8UNTynKLyGkThu/kWJuBpQR42lZAOy5BJAv7mWt0CU+cad4tckIT1CBTPORN6Q4d6oAefsGVt1jBrtM0x5+lPgVV9NAA0xuyzW/Db3E+tpad5irzYdnDReKx4WtK2xZ4XYPkVWILXkoL2Ni0jSfxHiHsq8bh2T72q4BNBR+KFOyQcSl35TvK3PHQ31Fnnkq5LJn3YNoeujdbdlZ01rr1JIQF4cg1QonR+fju+WRFWUUbYShdO2otrZBooDmjsba3rEJrg0oYdz/po4w2toq+GTP9dNFWtAEy4C94TaLNDFP1eMhzBPyQ7kfBa5ljIx7H2ifEpWZN35wAK431duA5H15ZQE0r/CA8Z6XuwpOMliWQNtYdU8cR4vQG/A5HlhNoksyrRaPPQOruxeQvnlflKmHu7pi4qmpbFTAcNsnM2K8ssJnb5gm6XB6fU6yVvpu5R9mEkMMEnrnNmGhOpjnSGL2HieClbrQx6tt1ijzbi2AdQ53Ck8F89eaDnjg96ofgTIcbZfvnnVKJDeLRcJx7nuIc9bkPrIPPhLQS3c0BPQgLot1xUvY86Uc7THxeHLwy78244cvPfhP3t4EXsIPFJ0PoVCAYk0E//TmdpL5NeSiTVl0voVZ0KZQ0mZk18eSXiUPO3J5v5cQh5FAYcHTajK2dQ8tkxo7gEUfld2M3ZaNSCg/zIM5Z5RlZJjeVoAzQE2QoBn3344w8t5/65C1A6ltGUqyZk+41kXrEmk/njUjR+mSTcZoFjD0RThVXZh5fl3nqMSdITmMrdxsTcZNBcb5QbvrxzWe4KCNB2lFcN1mX41ihn46bFhF5nzCnjihv3LScNmwVCqYpAY7e6SQVmRueKE6SOg5wY0rTy6zMpsva484hbhyW45AXiaYPaTKaqodzOxdapfWvDYIhbpxgIeOOeCvqHXVFW7ke71MZpPQWxpXmeJNZiXafjKK6StHu+i4hrbnFPZG73+uQ2Qi1knbGNZiVbrIUmO6wzKJeoKmvfApo4BZZLsLwtag3immxpYqV1wApcYJRV/l1NiEvHMFZErVCspMTcJfBm6HBkuPYpBENNx7Cvn6TZPXbayluwqQ/MT9DyTdltrDio2168COyFIshQiSdnVHmjEReRCyDujysYzl9HgXXd+XzFCQ4QoD1fSLHUwhvn+NjFVcuwAlTqycjH5qQwNfjSJqCyxJy+RqfNI7IIQmjRztKc31aLieyRCWJyFKsOGSznvs4r7wdI/IaAh+mI0UtypcErzU4xNvBWfhGrQD8owIAABAASURBVFhPx/CyDat9LK2OHasS6Tb35G7A5e1IudVs+OxcEezgLNl3x4Gp0Oa8CbBGCW73pmfDugFYjz6sdnOfFJV3ZKzV7T0L2mCogrpQh0KSOmOdzVmj0YeyeWVqnoW3rw1Zu/hQlJbI1ykKWpNactIsSyLpQPU1cqa4vFPr4RbuGJOU6wVtoe0O+jVlbqkz7u1EDaZtXva01Wrd8ExYI/MOfoWG6Zq6vAQyKZaH7UjETduarvCt5aK0L9/qy1rTDFdybfXtCruhPoVOeIpEPZ6aIBcxS80EryXNDE4DhlDEw05BKqqM7GSzTt1jbZ3Ha6E59nVUM0dEKxxGnTjnl886UdpH/Xu4SdlkzDWOtmLBD8E+0prjOPWllNPgIF2oKsikYYY9s/3MgzW12gBClF0OUN4jJU2xie03IaHKSRT8WpOqk4S2zFeSESQi76cjoXsa7DltsbPTKLAKFelJ49WfELYu0Z5YGPOwHxwqT83VWTPXNdZJ50+npGfkmBW7Ajkzk6mwIrTTc8IrYrZamPQa11t6yx/Fc4OZpwgx4qqm/EbMW5sK6/h2DnOe5dO8EbOHVt68uW4FU8GwEsWgTQSwJqS0TSea+JnxZOnWiSk+s1wbzI4YKnWZMZ+IRzgKoh5+Z2EdMVUevmvPaZultququo00BAqwYWmPEkDJu0OKNoa+2wkmtnCUdmDdkyeTr5nMeV9Zkn6RMtUjiV0uuIE3mknnYqYmy3Q33RugzMcAhG28EKzVLBwi3llM/aAdtTLD7opI6Szyy1ZAgGiNQUTzlUDXQevGkCYz8s8TpYnPFsE47HF1IhjvzZBMdsjnqPsgzbss2XrPMJ9eazznEyBlyPqZUVKnaEDdW9BMPVn3kTfVxGyAW9wCfo1wTPXe+LUj2pVyCK/uZD4OcB+MbzKrfksSZn1b8xIe982rUX1cx5d2Qg6GfcQO0jaOpBWVX1PHNdHLEg/hKNFOZmvJJxBjFAyqlKfWI46G0gCj2AZzLAEJgjHR7soZcxwDLuz0J8F1ZNOwhseFmpzJ45j0J9ONxx5YnsW8OTbQYx32eRJMkumUyZwUDVtCps0dymnq7YXK0CY1TX/LIIa2fAWcOk6eU3jXtElGP3nnASxx4xecOI2t84kdtRqdl/mInf4TSuNlMyMukt8Eat40xQldj8lYHpCQqjta2p6nnMxkzIlltNRwtrBJ5tjO1GfJdhKxd4WXZJBmTKdsIZI+oHJS7bkGewhpUC7REJjiAHJ4Jpbd6UYofK/HmLelJbBYzE78FTO05csDMpmE0T+G5tVGYx8GVPbuIVZjJwc/AWolOMZJ5SciJCkQmCeXj5XR8hnt3sGTClHxM7Sa91l9Yk+sQsbH4InnDkvnpGupA7YwtPb6GQO0/c01PRQiH++KlWkOGzQ9wWWH1Pcmox1zmsv2q2y0s9fmJrPdxhrtkD2PktD7OZQZkfgk3hm9ew+xKTzNV0KFRoI1PWbSOTe+xTpAXUrr3wybEbkjCs8jd47fkcV7LIseB9s4Q4nCkfJYk/R80nZtazHpkwGhH5eBfAbw0rog6WI1i8iU0DhuTvlSNVLxpNIwlCxvVSKkFm5z1sDiNqZMkapbJrXu2ctM5WgMeEMqsmmwKo2xR2hVL4lbYlq045JPl7fRJqzWTCdjjzT47YJuDpI2Z9xFyklRvuTkyH1CCbG7yKs5smkT5a3qLaUTCu+HAUumUTtFc2+o5WHwzccXKwupIdbCgGT56L3Wlg3njqWkwotxR4I3sOuaemIN8BwOIMnId47gFSg+TdFeVnf97PMCTU4hNkORR4YjhH8tXNDLTFtL5JJasY9VuhNkDyhAs26OGZe2pbDCsqkgzhO9iY/LpwUU5sclTytXHJbqPogpg3xOwJoRdc2YJ1LIh14wGqZiCPoYyjOzeliEcMyIOo8RNNdtXkOfHunHPuMrbc4ZJoffkl6PUgw+03iMcwIT0sAv2vgD6BUL7WPwCN40faTYukAvnoXSPivURjsThchMAJz3gpJGXgFClILPIQHLjBrpjsTcbjuwwyo7G36PobukzIOgiPxYTiTiK1gJS40IqfDp8eYCPkcqsT7PKSw+6nbY/InaE6DPc6QkngG6iieAXMBTTDOyjudjv2JVOUVjMI6ADNlOdML2ZbdiVGW21NoRrFoTfjmtLzd5C9RH/mPaQPaMnBjQidCBqSwPuFZd2F7QR0PDeWQCc/ZY9/ispZiArFU2M7cQED31NwWy9Klg4lPLNDmhyDTg+WU4SLSJL9NM8jZu8ub5DGy0Rjyjck4wu6rCvCtnwiePhVwFo9Y03TMpAhXYrZ1fVepbvUDP0x82x1WpLxdLlXPglY95t6mO2MmbbHJYMmRGlCfpzlmZKhhhBaHNUDle9glJqazuUzY5IHiCMkdIwg2NmQBbwVYY1QQHuJbSiuzMFD7hUF2/OU7kuJiNxl5t96mw1OWfHAPGEiiPb+U92lTkU60V8k8eLOS3xNaiWF08D8Dk1aZHCruPDtY5iwrYTA7ZpkgQn8uWOUkZhjzoCSpQrQxpU+z5Z/7K3ae1dKn0Ut9c+DaIAnbJaQxB6IfFt+sp45iP3waAqj/CkrJHPgEOVUAPLkpJY6Ac2ktJysR5wHC5i1Qw0iO9gdnpfMpGPTJ7I3cc6GytV5eh/WOXV8BgyfT43o285G0lG4eaEjo10LMLGqX4Pef8XwWQGz18NyyUriVK9pSaEBNTrd2/5G/loUTrg+dYPyFRJ5Oc3PIKzEKINtVyFP+QqA4yWIWEtdzSFBCoVEu1CCqvOMHRFUKXhY+TRfO99ghApIgX2YKcOT8xt8uAL+IBUkK8m+ZUFVYKtF10AEuVcCY+vg/ZrC+fCMGYRsPguKGv0TXBO6+RtE3i0HYPO6cp/qwFcwydDOj26vI5IiN0M4B+i6wgKzpHfVCVkkE79OcUN6UAsc/TQ+WXuTYzGdSY0c4z6ZotkrJMNRYw/J52+PWthSli4Nt4BeB9EAp+DdOyyHxZ1dJ/pqFT9PO/0rHyN29GER2U3AQRiC3Vkj65Rn6KMGPw0e115gCJIJHHCjhC/VJzNOt9DSHMpw8SIWfvBOlqTt2orNH4Tc6UEDohlKuKPG3jCZhoNZwT5ELdTGuEjMEx4QZNCEmRUQArOW0eFE2vklcVZLQ01qf9cfRl2zzCpgHTVARxUyS15rRzFUgCvUXeDGf0nKW+D8AXcmjoqbl3OGUY28FqxYQiqBGFUKQbEUDfE336surXI8fSX2PPKuUKljMgVY6lAt0FadgTrP74RXPAXjKDkf6ZFtFOkDyt5WXzMCasWcGMY3/wI4pWVEQ+6YJehNWLh9PYkzEA481EBDCfuUUT3sDhsg+z8zC1n7TTJNXSqgieFEn2qWK8BUUf5DnQM008oDkE81uE2uQRgkTQa42dGLBGOsizowcURV79WPIGVhCpYMeLxSoqxc6SahwtJ8UQomGMBWuLnCh77cyDBrhERZhpru3hZNOGNrYXNKOUx5oUqd41T3NqRXi2z4nLXCxVyIfoMRysjEFNDdPpjMio3tRitKIphZwK4wUGLKVbzRGeOMlgAKQ43dQ4h1e5pjfqqonhzDnCecGT0nZwOU9AANwpEU6v9VgwTtCDnqnIvp6JiIdVVd59CNN0owX+lCFGXu0+m0OZA5j38aM6YpnDaLCY/1P3PKfJNTUb+gNVOOArl0BPpifaOac9MoIijteZ9rg15tLdh2nd9J28ORxEDAygWZDOHSVZHV8dOlBwHWlOo9qjWUz4wU5tvF5xYOzm2pFJH5NPeTG3Z/ywtk8qS3NqfuTk4zVio3RZ9Tey04ToTGmlWWa9Kc/pe6RVaw9CzRbQcToTbIrNNtUZOXMD5LQ5+eZESdRtytHWEhPnLjTWRzerr6wZrvbF+jgTaq1ZpYxmWI2lTSavbsU85t1p877lh1DTMiblnml5Q/RRseV0cmb6HxOibcb86X60xnmEMG80U8ORuoVdEchI61nrFLNbwjyeGN017DmQ2hfXig6s3Ig5zGrcmM6hHeY+j4pH/IpwlmM8EldBzJmcjch7tAWMXR+WaVdcK5gwsb6i52lqdnyflknH38MmlmsXEjeOUelZHOiMgFjmbqO5xAdIdeauBz0pHgm5QdhfqYVbbttcVgZuZR2J3JV1n7XH8sqbVIBPbPlMDeJkctokCHq0qZwhOatXVMoBFEQM64scrbSOgPGleZOOmBw8sRQYLdrQx3q2HEqDz6R/taUqOZ/ZJkXOBsBj6JsjQN/2+yBFgRj6ID2+lOQRJ8mEXNpZRvURxpqKhmC7KSsvlGqzjo7OQp3HRMnM5DMba9XPNG1QpDTXSsLYuCXChnCnjVmnVuFC0XtWvQ0F+wQfO8OiFDRsoDQVUvRjtRXiWo5aXwLIvHKTujz40kJUH3OVjpn5OEkZxohXk1GNmheFSjKLkU+ziODqPjY1yXK8GCYSnPXkJrULMYmetEwqK/Vwp3s9v/JGqw085T0pBtrBss3kwzdkaE7I2lJq+mekkjyNYsM6j8Es3vLSq4RNX2hebbSXmK1QfSNb5tA2hA7PrqEOawokLBPv5mNSpJ62ZYj/xORZYirS9Rh/uLXEApN5bspiN9XOkNqftXgaJJxzhBoKYy6ZqD++BD1tQyjjuJwJV8mFk1rThmKxnY8FBEj7Hjd5CVMZDT5G+3YCr+fXQsRk0uFmPWnUI6Rtj14pL3C3Wr2to6lQ724AEblMpBcfuA/bCdZ6AFPtj+U8haoHVdRDc/B28tr4nojTGI3vZQXIVubFyn/4bR7IysqZSXqO0SYzY63VUtHiUX96bsrkzXIkSQErjCUl1H860d76K7CqlfECLwUowz8P1RnYhd9uLjZZKD5InSk52yK4b3epeRKm7fnzEsC3Oppv1nN94/Q3BSLYnKG8kXqm8CtYCnS3LI9jA2WlY5p77y4nEMa7Y+x0YviYdjfVlXZchMvKfbAb6wrKPbnJQr0OYkTc84/qAzQuyTEDBGQPvziElre2or30EeMlkrZu2R0rmWGyN43OmaBXWFaDVa7NcWhQtohznzrD6+xiFnY8R6vyHIjnwvP2aPkOTjqGW8afS5luVHRA/RiaafmEzyDv1qUAMlragJcnPinhKaCFilbG7sx5BCsyTtrIOfLu5N0JfiLf5kbex6rU1lwFMgLkyPUqLfNOFP1YN+e5RUN4kbul1CmnKQ+pIkoXlbKevMtlixmbETbGjibyUG4b2l7L8e+RKNRB1qvsa01L2x4ZN5HVzVdmCdDRXhs+dylai8AnnY5BG1wJ+gjkpVU3VjABMJBrke5JcXJV7CVpzFkzF8TZm1/lqVX9szkFqEqau6b0k/i4sL5zn58suz206RY4XqnA5zKEFoBJsKAt4InwGGfz+qIRnB/fRAl8ESbazAPSWTgUyyQMseS0aRqbQHkDnfGhsDyUO6z12DzNWpdYM7e7UCPTW4XWHhGkTxX93A+KAAAQAElEQVRNyCrld6TWktb2AA7sQboTD6G76F3I1bMSg7Ms5jpdEY7wWKsdA5paxLHhR7jFWbuanLh1ORLhFj6xeZvcPO2spm5td/KYCeekd8OvwzMtqM7Ze7TIuDv1CGQ3aQGVPfnMAkHgeJTKxsw1WsNxnox++Emk2enGgQRuhKJdohW8ACnAcRIlSrsZRxMnsYAQJpP2zWlPJelxVIeuGBukI/AWhpbd9xg7aaLpiR+Sae0nbeuxXRgBYtyTa4jRBDE3tFFp91JVy4vQ+1ZAIjxl+ef4HuEaLUDYTCIRSWfdfEYrRV7pWlSrrxF6N9iYyDo/hjsKwO0XbhKRmRqvo+VZJwpsZ71HQ9tMrTVNJDGsfG2FzLzJxTFpitTrWEfhhJvPDcV9aOd/H7O5PCSB+E6ttwjYObeFnKyjMYue3HOgI9iDnRxk5F2P5GWUqSdxNHehYQM7EbJnmZycKNRty8vfv01Cm1NQLAFmks2ZkQSg52VNqpjwWBpeNNbuV9LzxHmzrZSQDavpILwam5zRuM/1wQETiFFy/+tJTfWeaDOZawjtbyt5nUhS4Ip0alzhjZx2pcd7EOVhbPd5+FmJMnW9C1bgY78JeXNMda0AAYyRQnGxN+d6XK2zoM0e88qhjsCTazZzrJMDVivQkceKQjhZNinBdJ7njcVaiCTi6cRZ03Mee05gk8OaMyshZSS5egKPFULQb2Em9TsbhyeltWKfklZC3MW4crS0kqTvtzqynuN8Ksgr1zgP1iRndqGtm0gHIt9psOFNyWmEufhvZh0CjFnfqDyE0aCK6V2ACBKLIAmI7Khq5nLAVlYTa3lElrc9NmLVotsU2Zt8S7/3TGsdjuS0STDML6SR+8dp9srZet+WomHcc1zwk3s+bT0V1ARMxMlTiVT77DflMyX7mE7AgjJ7Pu8bE70I2hInvuM2w3qD9OE7K0T13XCFZq/zSKZJWzyMbA7G/YQKr0vuJeiy1XnU7NnHudjMZgomDQ9LA0pj3ZGilKXElAIjIN6uEp2VoLW+RknRWHPeiREdeFIUZBMAeG+UNmw68+Y+n89T1WE1ZO2MdCwz7FFzvKnp03qM22RCf/p/cXGQ3dbu8tM2J37D7mvH3kfdSkMZfewWHrdIedo8SzK3dButQRdr5by3AK87FwkioF0uZbhkBRg5ddje4lhZ9UeQ6wiYd3/DYKiPLML6o2HDd7bXSiCm6rklacrlxgO1vj2QsAMn71ST1CHJ+M/etV7CIQzr8w2xdc2Mz+szckxFJ374Meo5TR3WRuqfFSq4m0uQdDDpynwUNfbB7hDgKL5TJpmZTNLHnpkJs+nxyc2QNM8CKbMKJm/lO+NYK0IA6ZFGWKpIHCtsCdJR8ZnN3S6Gc/SgCcN74TOTa4aqH+tMU9b3PNNNFBgNTc01FGmiI1MYj9rTKF9Bot3gsDbgWFtRrQqaPI2XTpaTqQyjZdCWj0iscYcta9w7OYe0uSJyLrGWxG/zHtJOAaO3bycoN2TaK2ishY0G26eSHN/KmMcTQDyIoKhmnc3noGdzEadIhXjmBWeK8KKcGSmBwXcGqjenu3xL6p1gLzMYcRqQ7DH1gXsTv3/d8Im7mhZE4M+XkEWbkWBcl2xuMSbXqSgTt/o6l1/q4PX6rnyZDA6mfsVfyyPzUoZLrog273bUekXIK5r7AZnUk5rhEvMsqcIzLr5G9oqmYtYxYmpuSDwCNkQSgSVlmO70YRWgMJ2+nWfGPUR7rtss35lxa2q9w9qzCiwVFiHjTGKeOCgnsWT6Ip2+9oAzjxXEqXrSgKn3XlJs082V6/hHuwy9kQI8flNaJLeHASaZ2ehou94qSf8oqe2ux+QWlDqG8m5rXSY7EaQycXbTWgqfgJRaT+QMW1/qW4lyO92Ns4o5B7xp69O0FZLM4ImWFnwJSY26t4lmJs42GwXPUN76RqNsTMSdOYLpKWALLus0oSinAxO/b9m7Gnoay56XDX2ka+pyHvTu7vdQrlqFbOeXKPdYD/5YMT3BnCa+ZzOZZHr5BXzcclqf6+wM+wAms/Eh5GLD5/8gonVYRA6aMZGq3+5LCN9NrppaM4iatKq0TW7WbGXBxyt4+dxByUBY955oUrsGCuTCtMbNGmvWdOLHUyjy3tvgBrJEE8C9nMzZuMvUyKFONJE5N+824MBvMCx4k7064vHPpA21dUACmIWNmUyqloN3nlyebjzN1GUohzYebhHskSQiE21t0CpFwZ40zqcj+zjggW7WmalXrYQDQqxZ1q7UWZvdEfN9yQte6kp03fJO675MQLaRcTIkQTp3DPRAw0s6fijQA5bR+5CZydXZOek5jcu6qAtv3oMlHDcn43miBdwY570KXSmSXJPzsCLs3lQeuZKJNq24dWTot1BbNOUQKIIMf9Kb1dbYWZN5BEY78iZJ2zZUBRG7qLeEivLuC616YNNNmSh0c4kpAZYercFEHvidue7LzhJVmQbaqjJavEkyaVPvQ+glWeClTqf3skK6v96LB7k3FPIGuZ3AJXJ5U1LaHSs9ck+prc9Yvl0OvWERkhyKeTwFpz4z/LoxdHB6cpPIO2bdIkmCGPVHu09cwmTS3a0vheGyO1cfiuAs13gNxha5bkyT6eM40j7nJfPFGYuNL5ewK3o2p827swR8Nxeh1tbgFNN3lCCq35wm7jkNyqnGmr0mGbROvDPI29nHZ28J7ShhvY3Qk3ARaB2dT1Y0AXLNffDHKswoogifZW0OVJ1j4jA2msM+BRP18hFZ7rpEIRWWwPR08hN5BBFZhEKh5rQJWYGjiJ7gUUeoHoBqoomojCvjw2fbAzqdD3kEaFVYyfQE7op8J1eClKddmQScV7pQyXrP9QRmfcDmmzy+g6GPZsn4ScYydu+mUBLApO3qfh/HWzEHbD0ZxXX7G76YT4p+kUyimz6eL9Wgd07y4h9rFK8feYSKHLB730DK3A+oPHComZSsLLE8erdhUjBtJS1DXDBw3gxkfY0HcYCoDRJs3ZfXy3olmU6O0utEMZRB65CbX04j9INuSQeTu8sCHIvgeUJ2dlwlvcbGgWexhD+zabcu6cR/PsNK3b1LiSxGJlOeOdpu5uKw5APNiL8VH6H4JtNuzdOuTIOsZR+k6sGqTnFR56lxI+Z5DtKBwH6TQ6R6CI8VvsuyUegc6XilkdM2b1YK8HUuwyFhero0KZEG7dZmjkwj3HusUvQM+e62Asq8zmERIzNyRUvanlWkl3A5guPJ6OG5BBXCE8cc+yHplD4AQLvfJJ6MVViVUGlbkSr6uaF3+11SGL+7ShqJpXpWHReEY55UqKvuByBMXEMuuYKLo4qNtSpmMn4qME9K69ThdM+H71Ds0lGDsDNn9R0RR3u9+xPf8/2f/N4fyPVuJtruzHnHy6Mnc16xE+VE5okiTemnMQUc/yFKYkvEWlna587G2ZLPKW0FIwWrJBc54kjgAz1EymSmUufJEGd24jSOnFfzXVQ9sdV5YdhoVV6RA9EfbUU8zD2zVA6mlafNS4xdXSqhw0sDRQDcA3PE0D1omA0mec2KZD59UnZp2Ys8J0S0xqNNTvD4jp2YjXZykpmMOSfB9ou2kQgQhtRqKDixplZCl5lDiHYObRzHs/nMMFUdloyqSmqOQMhPAsKE1SctVseQpzX8I7Gi0OeVWpDDm0SoHZ+mikksrykJWyZzetpmpotIGT+5jn6m4tOp44Vc0g3eyJfMTPpjygEqdGtVBlS9izva5Rnr8kWinDVt0+kZj3XmDfrM1WbheuPnzd1jnFei5qYqsv1FmIf9pk1OgGd+RKGoiuyzYqc/hjkPbtK2mxxp2jJkPW1uGqP3WdGCB6hQ61wk9pZ0p5TYyGWipMh95FeZ6coDZu6Bx5b4m9n0R1auklpGHcDt58qkYEkvA5FtejiZi5h1GIJvYp4zzSFPpjRXaXKAWEHmZEaXlvTYCCNGjsYq7lPAAbcFb8UOpHbiyyUO4c0qX9WkQdLmBBOMNIg32OPX2sB1M0beQYq2521A0Adt3gyZ0yy18Mgc4ZmJb12GWn1PkFinRL60Soc2KqKbQdNGOxaTijqP6XRmrCOalrzWY67gEVD///XlOXgPy3Et5BAhVR/bfcp1QM4KwkPfXBI9HchruwyEM3mmcjIz0fia26n6E3O0lJ8cLE8bG9eVQ++vZzU67NjLbh0KqCDPi/GFnDs8ckf0F02oWrPc3RlR9ax0cxioeoN6ly2/cwfqBT5ZUG/6Lm0JUcTbJ+2m8EFZ1lRsVWdFg2d9EvgKLfFIghUaW10UUaWgITxNZ20HbYDJ+JGjPaZoJ+rjLy4eTK91TgX7YPJmH0OX2rpCDose+3E+Kq5iObZOR2dt0O2kDBtiOpYRSHk6/NAW8rIWzZmSCWHmLHk11KuIT0KmmL1UblVqXmCHZfr22lwltTpEznfVfSaFePqiTH8TARJRCOxmXYzOjz80cp8dVX5C1xZTnVVR+qKcFd5TZKpfuh6KzPMyoGxq7Vm+hBcPNf12r3WroJy1MoFxeDTSJKTmtab251DCoBi5Kjy7ZWbcRhZkS2n5y0tdhyMQPq9lbfzdekUlxqIfdTsLby2p/PNJIAQw5Qkp8OPvEdx1AZTCfGdmHiiZzBipORnLmAWPHLQ76eMUmTJxGgCRx0LhS6gJMEEbSl2XVbIsMAY8sT4AVI/GJY5lhx+zch9wLQFECnJpKDHW9iCMlFqrbC15Yljcoc4Je9DCcpYzqQE4hp34/trHTPGQKhvtm24ir9w+To0mUkBdhmCgJWFTWLR9DYsuqk5o1gQ/dtD9Us5295zTviIeBlM0jnpdqhyLYjCputKjqgB02c3gt0BEgF7CZ/oxnFesteFXkIYqTSl+O4bUFsco+ZxTALRTcgpJ8OfZx5HPVOrI1TWCoXaPPrZdwkdAIIlV9ohQvpPnF+NJjta7R9mUeQyJipLtlbwxJgMq0FWklwZ5U+LVpcoGmcMWKMbMd3zXH/+lv/L//L/73/8j3/+D7zcTXdXtxONe+Y4IqUNgMxPVrsV+xK06m9N25FVrFdYuxgPyaqfr5deJiZbMTKa+qVvHiOVjXX2GqUJejS7AGMfFiTxMnI/BjwUgN9HQgUI9QsFVq2BEMDk90kBawcZbSYJlNviu46CQPCvKxElgZGrYqWjMQc0AdP3K7UcQsk5A/tjKRZHuI1P4MtOloE+ERs5QYr6xS8hp2PTA2cGuUz9asCrx53SR0I3YXWtvZNXZ7zZyKpdutQh5SDQ+yyr0KwCglRnnOvfUJ/2JefM0q7B1J6HyrVDjOlc2SPvYWv0gh7DVMwqotfyQX6aj3gVI4kyC3n+FQkCzm7RtWPYAcg+4AQGZvihKyYiPUeozMJOrswKHlVuZ8hSsKIoevtvpbaXox8WxNk3HYZjqr2bnedKlkdE459CgMF2AmcmNUJ/FsOoMVSbnTynmnNF/6nis9BO+YVMq1/4emiOHZoiStj41ZS6rFQAAEABJREFUp5YHfblQVtCxRiOb9X2YE4YRWj82QPD1ZclWd2z+8W3H7zT6Ff8xvP9z9Iez6GissUPaZur0BN1aU91rl9z3sHAk4MfPN5Ro5b1GY8xMxvvtWHcQ0ngik0kn0NZAcU7png94eJ2WqnN9XE6o+BRlHxGceflOL8Yk48eFica/82HIW5nznrUT5uuj3dwKELc+zz5z/CLeIB/GZKY0Xq1L8Q1Wa1iYzLFspzOiLae1BrKGtRlyWoFnPBYlZOfI4H1xnpXyCDbzErr5M5Q1Oc9w69yU61cXLtnEw+JDIdCLYC+mQXJ23TgTCYrpps4w6bBVU627TJ/ZHcXB5agfWlNgPPkGEAZuYyTxpiM0ajgeVvUDvCgMyyfjCRD0HDNvferDol/Ux7rHR8AXkuYFUln0Wwjh+UJrLGNHi9sCY0euUEvHgvC9fHaYaJvcyUCiCXeOY4fZYNUfGgGYR0lea880TC7PsZK7iqLjvIJgNIX4tRobllcQTIqcm/CPCg3y0bJbvqFQICveXYb1lRd4s9U7K9gMBGVDMDYRYMb7QrylbAkZs5GEIJ1wxCPj1eKfJ0uH9tFk03aca63C1XK2xlrfAbFuF8M6CeAM0/BPh4z5uF3Bgox1oGO13D7gd8VhEwo0VWmn+14UasGuaReFFzCK5UCk04c2R6rveu4NdU1nyDLX6sM8VhoHnTwPJV0muO2PKZmx7cmQ8uSNNoA1wjqJzofLBJClALf8Zw8gWvE12UYmOQN1e0/7nx58dPOZDVWvb1nrELgUedSGqrbiGTy3EUTWMbEmoyrEDclIQXpSU1Sonx1GE4VKwDpz45Hnpbz4EO6wPZEI7ZVFEuOu+vFAKmAIw7p87/530hAYo1mO0U7iBKlZsEQcXnPjr/JqzPiBP5xwOXzWg2QsHYQ19Gq9DPPI9ajLsaZ+E5Y8jbypemjyNK+DhK0jYdZ3o5l1YOc8UOp2xLre1FOzzdnNUsER4eVeje3VgW9hipR3ThW+kSeKra8l6Y7Cn2XLJFsOX8qpeoIcMg3SbSyXlFg9mrVxtzyEO+nnJ23UWnnwKkDKqSOn3b25NRnrn0rXehxWMHLk8Tk3H8fX5MrvKu0QEOOeVu4oxV1XxKnpSqSbbmoy3/qt3/6bfstv/7W/7tf/sU/+qYNvWIb4DDOk7BOd2nBktLR5T+6BplGL1NISoqAQBriZsVoA9HZSN9K6W9uJuQ2F6JTo5tu5F3yWEOGO5WbA5bjBbzxqu6zIlcpGYLMlwhtT4vosQwgKSBu9jteytzBH6JtIcGWYS7HFRRMcMDP0wpNHkEa89kOKs1FD3Zt9ctXkDQbURxK8DSFHviKyRxm8vRuVMAh3tns++KKeX242K+y9qRPFGqVHWZuWcgCcRthDuuV6uuA4ul2aSwWVmRdhuobfRDOd2MQ8/G3keeQzo5416dJtdgsiTN5aKRFnT1NSgTU95RJqeLEbwbaAApi7b6bDgBPjUNJkeTWbabTA0JKtECthmlekp6daHBVrWJNJNWPytD1vg1Y2z1EIfYt1rKsaIWqYpKS0cbfMCajG3bDpa6R8/ueJpW1NrzrhyHoKHk2ucWVegCyserQTGqI32jY6+Ol7vOfTmFKP5WNoIadS1MQ285RW1piMswW0Y6BD9WoteDkuayEfRE/KW+s2uH30fT80f/IH7vfXZ93XR7f33utPxLzO6qnLia0gUasRIlVNZjrBrMus8zx4UwOpdahUP/IxOJRC5R84aZhHrdRUS608uUJMZiyGftEWsCVOVNipI9rzKpBID6OPqYSNV63lcUjAzgAHItBA9I34D1KN2sU4fRtlRfPEw7Vg1bM2WndYxagZE9IuZX2Tk+c18chprAwHfXSiOl4yJbI9yyC2H1tIw9a+Jil0oE5QwvPomQQAzqCn6vkAvuoDtNMe+h7fTsGvh+BlCEJiOMr9Zk1wdMuuKbz2BZ6tTYYKyqebvzIoMORa8+Ksyvo69koCr3GOyVpCH30OGI1QPKLQjmg9nGIiWY67vdl1GVTdh7FfHzewvVUKsi5smbdtVK7pFQGSY+V5R+TG2mjqdy7tBqRMC9+WhzaZ0gzCLj59UcbdBr16rNvBanloOa2yuo4VsAkkb638ZluC3sipjIYCMQO5kAlU8ssKSl/OkLyleJ1GBHGFuqvDOsKG3CBHEAoDcoSw9R3VFaYfl5y2Z77PXP8jxJFyivYk5aNTc2CPMnmCKIb49Ob0ENsfoPMVV0YWD0/8/o817KfBHk9fgiIhLt1DbD7A5qmY47Ht7dk+Ox/n0mPButmiIn7AQFLLy4l1ItlGDRty/8IcgRTazhj/4ta3bzezuPMZH7U3TGEim/fseynq16Oq1GH3TrepgqffxypgbnmTkyJZLe+81vf6xL3vItRzLMk9H+wHn7XvPhFv/LS1Tru6rv3ws/Z6J/8JKuAuEPPdRzvvxE4/mHW5/fvcu0/crNVsJ1IakWgVsoW7to7slRaf8m5KjbtNYtwrKMth3gM5ZsIqiu/VOGILsqPmMmbNepz1mjJDqiOwNnz4OxqJVW7CDEAnbnKNqQaR63qGMCdvgDUP4a5QIjk5Xo8vzOGlDeewWvMtfuMsRDFzXPb4oUK6147p/+Of9JliTvgu631z9pyokQGS8ZNFuqIRnGIzspU7qb0TU31O8WR2Fk6tFyupcKyu/es0FmUfZrSrqT0T6O0daTMpUtYpAVOQxXw3M5b6EpzEdqeLhaNCEZ76sXSR+qlMjnVmHvYA9G56rT2XfS/ske1uhZnWfRH4Tt7NxUmaEangsQ6JLk4SwZOAem9nHocItUnAgY31SohZH9jrmrniYufd+/7Rsp/a82SKu/wTzR7HB2QyJGR9wKffkicK7sRe/WbtB98BNrHhEK7xZG/yrrO6uT3HEu3iGEGePlnCvfYX7c4j7M7AB3Rlh5i0ntEAkEzaLnmtgsyeyCPiQtjXiPqrhcsAFHQd/VXz9Al5DrzKXttZ6lYgV4wUjYoiyHGuddWThrW1j0FC309CkGo9TH8yTX8hncgBWcsTzSsLuGUaYAx790m6d5rXsIWEqTWckuJy5mSfTM4JOOXIYDMg+7yuvIs2ohrDsM2yBDmhp0/rR0uN2Ze0tOeQDlW41rxc8VQh8nJfD6ses3s9vtVYFFXJQJaCUNTiVoDSrdEWcdVvwSrYhXUErN2uiqxkOXsm8L+Xh1LCBa2UcxrKvs9fo2mpudNWcPr/sEiwDbC7E+FYX1u7KRtnq5ePgprArPOEGcVHYkjtluwt7x7ssdZlka4BRnmiDRAtcw0xTfXE/fjQjlDjZOvXceMexe2STqHQjWNQxgpy1GUtM23SPSDhJiVMdjpu01Qe4dMXz52amRK2aOJMgHtGpdsZrrr3oSivhHlqMXfzzm0XMR/9yN/4b371f/uv+smf8xf/lf+rv/ULfvvX/p73H/zI2/dyPth8EL53pGrE7JEWaJDjponcBWXjAQpb2rUvgTJlmnoxVKQjw/AJNSAlZ4eV1ik9IX325I3mNLbbNWWXpx4uAlBvVQ7m3TH1Z77TONGuMVVzJOHE2DwXr7Qtu+6WXifv7DleiULH3p253qKpc+pVDjlo4zUeIOrsKqL2qe+m7RwTO+7TtxlWESOqqhAoyXmx89idxhPpNpi88eQ5MNMeYz/gdcQP4E7boF3pUWXvKbLySNE4M8zkjZN9L93mODoyPbUm+PW7rJVv/JNls1IUJaCTQJOeQyi561bVg+7+gC9r5Gm1kNU4q+bUmGFjTUhyC9YTPMTkRrsyo9S1QNvDx52/FXbU++QtewMXEOO2GTzo0FQ1qrpPli2ImiPEsukni4p6jyBWcIXszEFYJyv+QjjEYAn/+6ys3MiYa1Dg08g3OevMu3kOw362TxcgzKyKRGJq6LQBpyt4cif89ggOBa9JLMdamZ9HH1lJfMPI/54KZBGcb21ptAS+Z0cVRPjYqrg6Luupau1iHKAgpTUD70CyVUxkLqyZ+CSJ2Lx9RvYdcqTLI2zbuWDd0pwUESnOlOMydSNlLWu3vS0+zYVYecNi4nKqMoEl0Xs8zHyT20sJVM9+4NWovAKSqfNwcAOVr4Y504z4QLSPhcqzh11LrpBf9ORlVUjAt1HE5vy2Opm2WJPIO+FsTCFFWP2Tg5lhdrgsq1x9Js6k0YVL+Dq0iXDp1u4k05/ZJF5gx5CI0AyE+c4/9smf/rd/0V/6V/3k7/iuP7E7CbpkH/z+b/jW/9lf/7f80l/+q7/nT/9g3jnlT93vP/Wp9/srv/TX/NU/+ad97e/+953tnfcbr6V847d8x9/wN3/e3/+P/oo/9ad/8FbEjEjv54N/6V/+sr/up/3t/+q//uW53iUi30ZO29YtnfXOQXuSo04dwHS2pdRn9bBmcg0un8XSa4KMYDth6q4VgEwbwKRt8+zXKb2ECHZGJnd9raxFGywq4aoLBZTLLZO90XKsEzjrZXE+d66J1qk3WswncgWvPJSX1RK+3DLZLlQhN9rALFmRZ67MTOINv0tJ5cxY7vCNdp+8Q42aAcp4hIdWlc5/GXc6hWlmpGAFsOvsm5GZpUKPBew4oDP17NESKt49++W88s4U6uF79Hkq2uzMlLCdxdiYklwsx4lsa05mmd43UdIALuAe11olgt4YivHHDgZ9GiAa13FJpuXAupQqmAJIsSOO9orcvoBtqbLQ5dFzz2BtZgRBidTxyPu5H688v3hf76bzlevDvPvQvL7ax4cjA7k+XOAHn4h/cXj30VT+KB98Yt99dF8fbf8l4sNc79CTq0VO2va6CE0gSKuiFbfY8TXHquD05BWsMhvO7c4e2h3MUzX/grszUyE5Z9VUGQwbaa+cgsMxvC0nSACTYbr2nlSbbPNXXjXbeNr26lExplU5g/okc2XSVmvItrYbxgzDVOxqF8DwlXczfu4+DgFb+6pwK3iooeB2I/ZPEci8Q0ML2ibvqmU3PC50/U58d+XK3cgJv2RzWtlTbR5r5TvKu4RDXDKMdeceMTaZMFhmx5ydcxZDaN4cRoBpWwE2F2azxHor7vFsgBYgNerOsPaxOFP6W3/AN61RIA1U8USmS1PGWGlEOa+z/xP0oZf8WAO4c1qBpzxM/sBF7EiRmHF2rKLnJVxLaAWf9s3Q5/hy3MS+zjEmToNk7dYkwTzWOUISggMU8p5MkiunANe+eV4fXkeZk66X6ggMBenD6Y4wMW2oy0ggRUMJ6xLvGfUcfCSNmLU6rX7EthcMS782ta9SS5y8aB6zPbAmo79GZZrC2VXF7fWml42Rc2sW3n0RV3lByPaVN35v+tSn7k/98Pf/0Ke+/pv/6Of97C/5qf/rv+Prv/kPfdcn/9Rv+I2/5Sf/dX/zf/0v+6v/gX/8S3/3f/gH/8gnv++Hbv8k+uHGIckd68xEoGxGGqLgN4hGn3f2RtsjIC0wGrpnNJN5lC4k6syk1ZYRco56x1pSkTSI682a7JEAABAASURBVDsvYWpMBOQ0w3J2luZm2zU5lhzf0nIAr9Y5Elf9jk+AtdAu2vrcWbMjUA3PmIi1d1oksX1OA2dYw7eytb4PklXezFFsJkfAWlmnbQNbUeUmp20uFoL9euyPcDazM7kCzjbQdr5Id4UV80bIaSXlvIWeEHmjsTbPevcXy51GiJpymU8ALnMCsPKLhrYWfSAdceCjgdAeX6artbDFBbuY9VDPsifjk2p2lusYfqu2VKMkrexE2ZlctuR4uuELqVFna0hEJWz9Jrm6epQzQ56WfxPWI0uacsLhEfopiKjLYEXDJ/cFdqlxFDHvyo32RL6n+rAgyHs+C0t2DB4m5F7W5HqdRmY450yZKwzBuDIzx7CtMeS+oyC7BFVBzlan0VPgQkVopksB/KGANwaifhlAeSqsMAlquPWQbsLR+U6FYT79yuQeOUdLaf3vE2u/1c876gHP+Rz3lrU70fjmtRPInQOqsib+A9lNmuStwnI2jCcnYsYR9sRDat4wOnFXesPXI0+haFeevHxB/AgQnVG/jNMRlSFQe5GH0oBN17VoCGV8bCXIW/iMEUTvHtAnQ8mI0JVvcuScpuY6eTDQCVoGbzLacxVjf4lfkuQJcnPRSe2VjBM34ZdDKzEzRYhuSiyPevbLROtHiiq7kmwf5OTEqsPv/4//wO/5937ff/D7/8C/93v/g3r3Q3Bf79597e/5f33F1/w7X/GV//Yf/+T33Offxmz1u//En/zn/qV/5d/+un/3y3/H78y7j7aPb3aub/62b/83vvwrf/Nv+6o/+b0/kAOq6oc/dX/p/+XX/Nav+Op/7V//LTg2tOrxYs1INKMYe554UGk7Bd2VwuYkiLCS7YrinnTbM9PdwFl1lsR9qnhuXNAFV2/Gz4ZH8mz8mFwpWx+8HBtTtEm9kpmg6VadkgdzqxLlIgwo2jTjEp7eykizHJagi3nIS8j4Edjc6kgFLcrZmcOOgyLkqJuCoMQjO0qfJi5cT2A31pFXJF2AHXhOkwgeCNVOq8SkT4sPJvnpNeTjdp2k7BBhbF9ock6wFvLY3jYRQQKy/TdiNDKDYG8yDasnCRHVqU2KvNUTza7K8woSbo4V+qRQlz65Eo9DNRMNXZWKOYJfcJYFfvzxvdCV4oAajElnQqbPICwhB91815/4nj/wLd/+B7/lO/7At3zHNxC+6du/4Zu/7Rs6f/vXf9O3fsM3fds3fPMf/sPf8d3++cEfUN/8rd/xB7/1j3yj+Q99xzd+63d+07eR/whE/8Y//J3f+G1/FPjt3/UnP7Xv+i2WVVT7ymqbkXbPcA36+UjbQdRXOaw5bRNOzx7uoUQDinkuyGZsJHGSk6ftaxlgxd1M9DNR8moDI67hXOOqXEVOupgdbIx3JbxZp6d8codpAuc+z2hsdSTH2XNO607vTclbcoUQtunwHnnKFBowGV7Ta+BRV5mFjK8v1nSzm/GJBmYafIEk8nE00XIaU1emsvPgLzBLVfJcedpDAVN5JDOj0rxa6S/RstK8HFLikTcWk4KHOIv0xKNVGNw8radCOhRrprstramhqdzVFea2mckk9r/CbzSW3K1wKcMSioOt9nGUltCBo4fvRCA3b+ufp5XeAIciCs4xLOojm/mmwDJRzYmqGp3acHZsCaQBJ2dPG1Y9qdDpCbQ5bZ7z56AfzKQfo3zPmoyWt6b06a8hT1jo+P4Alv/mu2FdtpZkPJqNF5oyz3gm3FalctaPFfI6FtviXCFMHVdmcn6m9bvM0URYv8XqecyljUMQYH2pvv/h9+//8Hd/zz//63/z3/QzPv/X/Iu//lPr+b36Jl//Td/yD/zSX/7X/JS/5e/8oi/+P/3aX/9v/bv/4R/95J9+Px8m7+Kx3ttSBW6RlpGEV7vdWVSQTLTzKbQ+WgXm0c6HcnB0TtQZol5S4+fsBd2LyfzADq1sZ0z/DPRosw6T+Q5fSAMqcfIImWQ05UerlgJGHiWs/PNqkyGJdhLVRlWV7auDrGNM5vR6EmTEH43ZRg48A07MaTvHUqxA2fb/4KU9u6hf9lWsOOzdX5fHA60ByxNKyDnHwogz09CiPSqEfOh5LMyPcEzJSGFjhHG/qKxD681hSo9U/rQdXsFX8PpGHcXVkfBlguTVJpP2DDtxu/R5GW5UFCeIXHx2XDOciZ8Rc2pdVc1kroC9s2bSdt7GW8LAi4iTGoGtOZN6tryK17QJklDZxCf0eVLs6X60ArQGGTkkiLacXQBS0IAFkkyTopOA2YYKtwob2hG2NqMp35gBJofyEnPapF+yjG4/l4N95iSgo5JXJ3ymKWe/T7Rt5ODktJegoKOaEF4gpd2Ne5lX3rfQz1pkXtHIpeO01NeWVDWJnvQunsg0MCB3J8V1qYMQjIFMf4ueU3IRD72uU0sS38ebmZy2w1qpuuc4banC/2VKGMJbRJ6ePdumjTBlWwGnd2+EPLSSzpjOHnZNw8WNaHiONWDjt9NQNq1rhjYZc3KUVxGqTtuzsm9HTMbODF6PBGc/zlBFHrZg5bTrECsOk/xnqR6WcE5KBgsKsrtdvyy+v0n54R/6oVeatP3AD/T/vf/zjqnHzkx+6Ifv993svH9/Zz6c69V/6FP+GmO4/Sq5fu9xyHcDft/3/8CtFlHW55KUaUtE3E0BXmleSMA2UYltrAYpYQg5UXVOcxIzV4L0TM/jWGUKV7j8PpWc03/dueNygJfvVEkL6aAJuFxiC5O0X52jVUEfRSx1Dz6kjktFgBdYxN18Aacqcp1Zxgg5XB4+SZh9DZWUUbAM8G4VeKxk+8LYaILp3XMVlEFpf7MWJk8yY0riEAj6c0cqDGMmp1nwkyGYkxwBORp0VZWZos/YnPVMDudZ1fyqCp+ji2BOqQgbpR7DjHBGDQvR+1cDcynpH0gIZNEeob4T/CU17LlDC4itZecY1dszjkZPhsb/0Dysg0Hh0Vgyal+C9PPuF/2S/8MX/Pxf/AU//+/7gp/39/7Mn/f3fv7P+0Wf/3P0X/j5X6T/PT/zi774C3/OL/hlv+qf/s7v+i4ev/jv/wd/9s/54p/1c77kZ/2cL/7Z5i/6ki/8uVV/NvXnfsnP+rlf/IU/70v+7r/nF3/Tt/7hljxnb5snXbQjWyetjBbCBAHVSuDYp25Es5nEmzHaBugjtDsTmwRBfN6OIfHJyB4wzM9ASBKjPpc1YzKqZwl5+fRIqe2DNG0ZonEhzhImjUjcmnJaseTMiql05GgTPomTS8yv/torZOYwzNGErWoEs/Vcm8RW21v8UQml1Gknmgl2I5JKgelvX5tTyKspEz6bYTtCv422SpaeY4i2fcnRSoz1PkKnsfvtKyZt7o9FhLM/tnni7IB1FpeTEFLB0XIEUTNoOhsKdIYWGQx9MklHo9fkENLVg452rkGBugqiF4VMrjkt2m4aJ+tH5YLplZcxO4xr5HV7ek61GD5tW3Pfb7iLBQoLTQfMnuAsmTn/FWNjAyY0eU7SEMY01ryaqvYeLZkGOSbgVOernMcQD0m4mQxT4oYpsbLBsKqogaYjsUYTkGXDMeSDZCMaVScmM3xcnWhEhSSQF59/YlqYZaROyIkt4mCmrfZeVhHScU3akxLuxH/u/nd+79f/gl/yy/7ef+iX/77/6BvOl3Bk1TF+0p/35/5v/zd/y1/0uZ/9Pd/3fV/2b/z2n/vFv/jzftYv+Ll/zz/4T/8zv+73fv23vL8+cV8f3vPB7f0oicPik4/bp5WViaYAtWYP41Xko8RdfD0PgIeFQliDJLA5ap62ohtSxNiVOafRMiaZ4hQq24qP6QEnfpbBWitxZ6bAMw5OP9rIOZnTuwAnTm4SvdVug1DKsaVNKFujNRpk8ljH/iaTOFaWVGS2stfnjKINeiw8om0OY4iE2F1MedomDxjNFahSybovSx0bqh8OcI5uaqCjkzMzKWDKGdFgdbxVtFvpDH804NLHKDKlVujhOLScACfa+UQ7mmiliUR6AaSPN+3yPg+/cZq37HFYDcNCnQs+9UjbMKaZmLwczDm+guOlFtw7Ie1VsyGa7i4eSnzcqEkwWSucUVlS+3t7Wg1QtOauHQrYuY+0koiSTUYx1eDVjMaQZnxE4gDkwpuDsJbLFX3ygEkF0ZOMbqS+PdoygHeqZI61Qbayh6Sj3AJGswf3tApwAQkhUhvRnEStvJSEcKLCjxltRooq3UOOgoiAm7CddUeio5hyCr8cbTeahq+LA1ybT8E9aTgxAnHapSuBfy0dVaemYAFO/vqWKju022v1rIiburBEw36co6IBPH0jwmRowujZTmV35FjDrGKdQMEgSATR60u3rMGeaYslyWNJ2zEHIoA0tTiqAjmtdoM1M5kov4eZVE7bhKHCGYtwhOxZzu8Qc1z2ZeLQTA1pxdoO6mgVF/1giX9niyvQvup6//49wpPw/I6R+HLdTNL/vw+H5j9tvot/1b/6/4Gvk7imaOZKA9y3P8jufoNsNFNLaJGi02ATpeNGuT477JBi0co6NnIyLOz4b/azbrGTblG4lIBa5eLVvnxnrqLH6lchFVKLh9Ua6jNGS7+YN9oK+SZkMbw4dULOULgAifUZSWaqOeSEIBvkY5KAT+HuYRD1LtGkMtP0RTrUIhshK3S8WLv1XNqdKdmokH7W0hNBZk34biAdfbi2Ub3Iqq9wGgFw+OwwvfvsYjx9Bq/iph6ZOfrEXk1QMaZLAznwyWkW/SXO+lAdWSLcfUyrlEcazjOTmRMW62Gf+VzXOaI9ohLxOidwB9JFHXv0vDWbgegp3fMlrpwveyMtixBN+P79/qtf9lu/4qu+9mu+6mu/9qu/9t/56q/9nV/9tV/31b+T8HVf/W//rvav/bqv+re+/t//ve++7/t/1J3/4Gu/7nf/jq/6Pb/jq3/3V3zN7zbrX/k1v/srv+Z3/Y6v+V1f8VW/8yu/6qu+8qt/82/5bd/9Xd8dj0D2J22LWrVW69q7Qp7YufV0p0Ft3y080C25Ezk1AUfLx1jiDgs3eTvt4SwWz7h6e8OfDwhkkqdnR6tizJj0yfWIV62BtOe08V0kUkbrlMk92asnu3PkkVVhM2kDRkaDvrxDTGpFbKeUcOAa8aLNeHUcb/FOB+7J86IiziMeOAFwMB/WJkU+nuR6wlfYmiqk2BXqnru2rSwFxZm+N7YC/t2o5K3Vk5x5/EGqWBEYTt88frXMC583AVfV++xoy688MlqrVnoYRyulJYCdavOCXwsp4h8z75usyHqoQHUuhE2JzfAqoErmtLOYAsM0N8cTJN79xTOj2+mkRpPSbOGcWApGxrRthYO8+R779FLU/vK3YObYTJMCit9CJsEFIfjUVHBQaWshbHbOBljOr27x1WQWhmVi07ksK3Zmpv8FjGGf6zfxMzW98dlafJesb7DBOL6pIJCe4zANTaTALiThkWKZy1T78Eec8lr+7PXh97//8J/40n/hb/vCX/gbfuNv+VPf8z0wPTjzAAAQAElEQVQ/5a/9a37Cj/9xH767/rt/yV/8P/hv/TcJP/zDP/T3/cKf/y/+3/7Jf/ZLf9nf+Nf/z3/EJz78+m/4g//3f+XL/r5/5Jf/tJ/xhX/z3/5F/+pv+eo/+QPv94PP6l9c8zwA0U/PptmOTNiV+rkVqWwUUTRQdQSE9t2j2ku1E4SwmTlhbkxBhU8AR+tJuS4C8124xTyHIN4iDKYhbHsRVkDfFUkud2IblzzJ5VFzyH2l/0lwodnh0U67BLHoWC839kqiTFtK7RgsY8rsxDWnUc7KUF4TlPox/BLOYhqkiSmq7futtR1ddDEm8PR/ZTvROqnnWWqBqQ1EQHeQDkxSSPFTVu9ya7DWKNnOmIePcZ+7FEBOKy3lm54YAotXggXEgImCKsOuCSDWM9MJp9fGvb6W5X/2xVb3UwaB/+x4ajhMT3caBC4eNP/1eMZJJBRsy/GksdAS4gngFDb95XIh42/JnIq8XsK+hvXVXfBHavU17WwTZgu7gHsLwl9HMRdviLvC1GgAGn5y5FAN3c5eyDRwKAKvoNFYn4Ce+iOE5QQpq8LwaD2TI0ya5oSfIut89DKA60ADP+OZUms0ucqqFXa/rMdQufk+BsUZQCP2HI7ooI4vj8MvuAcRuUJzW9co4TiSVzYPqNZCUf/kcWE6KRryyBWSUht96u3bOda0Fezq4hNvvhn6kV/+7tBLmtSVOY7UMbWz3tgcWQl6AiyLQG285vN23hX9PrmF9B+Bcj9ImaJxAsTeCjwBg7FU61my9V8p9hJtC+6BUnCuE0Sh41jEtPhWm9JUsgVvd1A4RJrZQ+RVYjKju99DjMmfRrnf6+v2A/yZNBFW/UImdXy/txD3zvstZkLIzPv7Hu1d94Oye4+N3BrvJK4vYbVTUFW66Ml1SlipfD4RlJBjy7Ikk7abn4wSCkZA8V67p27sJU2TX5mdqbpzMzydw4Iby4cFVkJQIb4fZx7fPXmRo5VSPQQPdCw5j/uK5Ic6D1XRW+s4/Z4SG//TBU9NLWakvtI4M9NdJ3cYfZ3MZKYjAnmg5kBy2oxNquTMcWZX75I14ZLuOtPgQUqufNwapsUVfErNNdpTYK3pZBTBePlOrmwQJ9o7I5IDY2VRxLH0TmE27doF64HjsUylxuAxuZPckMl6jg7l6tkDnaDOt9Zuy8VRDstdZpZEZ+VKIVykbr7hmkUBEzflocWSMzWuIGkmh8DrcrLKuW8Fb2HE3LnvbATGYN0U/dT79/p/8Sf82H/0C3/q7/jVP/sr/6m/6yt+1d/x5f/k5335r/y83/ar/s4v/6c//7f/6i/48l/9hV/+pV/427/0Z/22L/2C36r/6i/4zf/Uz/xN/+TP/Nd/1d/V/iv+zi/7FZ/3Zb+y/Z/7hz7vc//c/5JLtOvfL3oYkqg/brg6ugslxP3P3GsHe1fe2Zalrg0nG1faGnHRNpcgp2C7y9aRzYdiLLcg5e86qs0DwbhARDsH9p6MEfq0idZkha7qLtW824u/+MoLwgKlrhknrzZqWAWV2s+dwHIuVnPvpFcl3Q6HOWPTMJm0h38EwITzNouztSlnNqnzVmjQRFxg2kaJu83ABWDz14obL42sYPd9zznQ9aiJte3eY7UbwsozvQhRgwtVn2lznLfUyUm35Itt47dALix3Y1SUUF5a1iPMVLrx09jbltvPbJLaHl9eCrvVfskQYO2BPX4HaZRwmrSd+Wa2s2ZR4jhJQOz3SemWbR32tis5UJN7Y0V/i4dfJAkKJiuRtcy8fJUmki09VjEO/7GiL98FZTc3WqrU6ll11y0ADbwi1xh5zzFQzr1JemSSEro7JQqWtyH4HIUgReWybHblUNxE3kIRmYwnl+QEefWZx9xZve/l0oEU574qkWECmayjYK2zzc8M6WEEoR40tGEVG9iNAUSKNn041mVsEe4TI+m+fW6vD/bdZ/3H3/yd/8uf/vm/6B/+5X/wW771x/yZf8Yv+ZKf84t/wRf98A/86T/zE5/4yX/5f+On/Y/+ip/4Y370N3/rH/7+7/3kZ/85f9ZP+Z/+937tl/7j3/Qf/q5/9Jd88Wf/ef/l7/1T3/Mf/4Fv/Jf/n7/5p/2Mz/9L/4r/yS/6h37FH/ojn8wHf8b7+fDu/+ir5cqeZwuX1BA17Fh7UbpsYhMKHJtY25oMp4tq0YuVo2wGvc/2PDVGag5fkH4eEG+6z07StTsnWK4EwO5BR2sRm6YRa6cnNipsLTOPCk3/lzFd7UGQ6V72nOotRvv43IpqA5FCb6RqU+ua8Ed58m5mJhToqwt6AG9BawONqzShlJ0Q7nU01si5pVTOs8e0zXCo0L/ru3bw2Quu449osaZtBbHRVyIHq6twYy89xV1O9yZudsikV9GkrB0quz6CYXbjecXeaEx7hCDTLWiFRusZQkpAHKpFL7E0N8RyGNgKjwSkOuBsyMN8nfpd5ENhSVz4nPZAj9oNCO9NlDjB29j1yYotvz1KtQmZ84zguGfrLX9PwKhzIpRjPdaivG4+9WzAYy1new0Y0yCHKN0KMWhwgdbihAsGODVWiJOt2YiT4bx3gmzTBHGqDdOuUiIFl9nNrZJgEVmB+vGlyTYNYtRLeRuyAiRgUSc38e6UPTm+3oXM2feoO+6SAy8NJdIJEdf2nuqDM7mFCG9Cq0l9GUB7g99V5nZO3SM64BVOrHAUCTfWaQVnnZwndh1YxAslvpZ2UFC7CfJB5SU6hEcTX3/kC7Xd7RIENq+R3LZxlB3gEkMY02g368DU6wjmiGSIfiUFErX8J60zTmzr2ymEZJIMl83MxO10fJDZi5q2szoP9G3MTXd5jRqZ3XVPkhC8OSIB7zwVZ5JJN6y8ixijoUdTRM72Ulr2cbLct9+9nOG9c/hCbTgkAXRcfqFDWn9ove+791b5Q/jUffu+y6u5RK0Jcot+wG0i0hoNVbVRWwPMfaLdpNgap7G2eNvY8j3040kPfVHe92gIab30vdPzqlRUhDxNnApT3iTzbjp37OX3b39LqBZ+t5iodEVO2xDwMn7WSO6mqH/CaczDgeOyOTGPMpFI5B74vpt+/7lqNsCXQ5/H5v06pKB2eH76Hf5ngKfZbLbBURJ5hWWe3KqqfGjZaM4PwmnnNkMwM13VFy5qFv6t5jDPzgjGf0NopltkPrt3JqvHeue0iee5R0z3O9nzccRIVGcS1anUmkOcxuwQngvbJDFqKBbtYTqexCeiT/9cgwsH0prv+m6mjlKQyHZyZFvje4eRnmdQBjInyM5y5eVk8qDPNgOOxzGcxg4uNyEU4u76W+sT7979V37sB3/hj3//F/74+3N/wn7Oj3//OT/h/X/1x33qs3/sD/2kH/uDn/1jfugn/Zgf/gt+DPX+7B+3n/3j8jk/4frc/9z1OT/xA/1z//Mffu6f9eHn/sQPPvcnXn/BT/joR330gUPdM1bNUibdV1rjJOM8V6HWe+kLup3GZkOdzWkzZ6t3Mi7Q5ZlMuNijhXhTcK/sygWre30xZJBtZsKcSbxNrjHlIrux8ZeV7hx6EtfO7CRjXGeuJG//tBFrItk+hkzmSsSaLGGOmwguNfDsdsd2Mpu2M9vBPZm0RzugghVfTRwnsucEtrF3MKuyhpi2GfNc1wpV7DALxfGqhmhDKpgEtzUkmRDWYihTUn4SjoKjYtZ42+0eIdocl7ALejldN3AH/+yIS93uVd4Mxh4Xs7N2NPO0yJg6JnnzvZviwgQBT6XCjHzi5LTNwPU52aoFIZ1Wnfeydb/s++maw5TuSqAVAYn1CGm7DzicMBsrpsOY9F7aFc3hXDjiiBwxkOtyCWRrDk74UC6sdHe1DmRKvlinyvB9gM1QjAqzc5qnvlrmnovPZE7kepR2nNOqZirPfeURAp0ZnwVHEbnfaj60ZBo5bXeCl+uqC35jz8GagbXMppB/w7p2U4+OYIp8HvCmiDnjQgiXMnePD7XWyBvTu5XPFTz/x3L++Pf+4K/9f/zGv/Zv/Bm/7Sv/rY8+/OCv/Mv+4n/+V/9jn/8z/sbf///5fT/8w+9/9Cc+/Jw/+8f8pX/Bn/Vn/2d+tGxf/TW/87refXDl3fzwj/1RH/y8n/kzvu6rf9OX/fpf89N/6l/7k/68P+fP/FE/6g99+3f80l/2T/1Ff9lf9df8DT/9X/gNv+nrv+U7/vj3/OCncu04O3tJ93ip6lZH5SUIrKC0ROJWWEKSbjYVdwXwLBold9JQ8DUo1YydoZu5jAMbPmPPM7Rx7Z1DgpK2xbDuxHWf0hxZPLlkTttIw+VykrkHmrnmrR3iqhBLXxuJIClyeSRrAJSVp810v7k52sWye67b2JOMtimDkrbWtXlcrKDSj7WTMX7DUV7Ct/2qy6nwCDOe0iDYeGwxyYbbBibtey+7zBzk3hCjbSZ7f2rf35RktAjy2neWfSZTS/KG5mk7MyQUBGdPHpRt4mdA9PU9vV5ML4OyMve8Qx0NoX1utyYC6Y5yT2SeuQDJmVbUWUzJXg8obXslcDs5nqyOXelg7qyEnqagZ5vXCd5JwGxdKctvzt8FSRzgwpJId53Es28VplEnGhdzze4DZk6dfqdLmyB0NaGN6jLDS5wa4xuDKZtRLVz4o0SpEy7BvJfwfN8Nq8q9+SeRi6Hh+LOghWOeDY01V0akrWzcLZ777lxhcdMm98x4xiLl6qSe0RBQZOe3wYh270W9MvQlbxoobpsUHFGaQgG7o7yUp4DKfJh7jNkJMILnEZIbNR31sG7SeId2V07wdzfC6hdsWszhRwPeVQxaZp+EZNwRkrTSkYbIPzOPhJslUiV4jBtmk57THktp1I9R8ihUHyvt1VvaS+zSyF07dmcky/jZ40jwBNhoCicUSQ7tNW9Gyfdc1iW90o3zXpaDlH9OLMEySjyAwM7OIwPmxKgPaN7dvhXmaJ1CHAQPxG3eff/+vY9thO//wpDD3ZjrdXGv1sk7xdcPOF4g9x1hWLqzYlw5b2Ymfl5lE9OdXsm7mSEHS+fJtpWCIIo5n9Fwa9yyfFXEHXan3u1cd64IpfipmuvdXu8+Ne/ez3SP17vv/6H33/knvud7f/D9/e7DvT7MfLBlfpB3H6S+7+KjH77v9vV/dfcDCI650ebacdUluU5BM5k4//lw330k4H19tB984v7gI+mW0Uslql81vt/9o5/85B/5Y9/zp3/oU55F9nZN9XSDSHZCMkcjCewkxiJOsDhN15rrZ9vDuuKHLeTDPELaGqUePhdVc5hrSRvhOg59ngPpaNFEsTg+Qi91TbD1hX1Z0zEN1zFpM0+pamE9gQs7Aaj+3AqsvVKCC2MXR5bqnOoOg36FO0WFaduXvBnqUzRhqorxLM3bQLhsOeAMsw4/PdqpY1J7EiVfH9zXB+/z7n0u/5rAYz74MB99Yj76aD7xWe8++qwPPuo8H37WfPCJfPBR5w8/2v7fGPyIui7Shx/m3Yfz7iP9ujrn+kRcrWh7ux69BQk8UwAAEABJREFUhx/e8+6eD9JrtjWoaB2f8iZX03abmcQwj6V72oS0lnIEq5qElisukThJ1ZnrmFH1JDOu6wducpy5KzKbge5YrsuF/M7v+uQ3/qHv+L4f+NR4sCWziPFu58MUoepXffIuBT8cW/CVlfmhe7/tO7/79/+Bb/6T3/+Dh4ylS4OfSNG+BOP9PZ/y9eUcHLgyXOdok3KSzpe2CNeH60PU/08jPvGp/eD95b8JfJSrp4eldHOP5bq++5Pf843f9kf+2Ce/d3MySqNHo+oEx3uVT6ynpdqS94r5BbSMl2vPk1rDp8coWqhSZgQ8hJ0ngOyTmbL7KGcmQ5myPRoBl2g8GWtjDgwPuUoybQUbFIfKmcDEV/bM+Ql47xahEgjd9kXTK4PGk0wUs40y7yahPSOgAZzyrgrRps26AIv+vId6SpTwam2sJ8sbbTJMSWbUQE6bwzosITYvcGs4o75AHlUtenKmtLFZ6JOpYLtpneRE6Ad84jVWnjZs02Z9Iaxoj69b2UDZKfEQprOA4TF7NFKextH7iUwwZ/zEC9ejGLFE2T6Srf+UcOd1paW44lG7yR984lPvPvG7ft9/9Av/gX/sZ//8X/jN3/KHPucn/fk/9/P/tl/3f/0V/8P/zl/ywezXft2/+8PvP/Wjf8Qn/vz/wn/2J/6YH/Hn/9n/2WvmK77m67xS8u7dXO+uydyf+lEfzf/4v/+X/7P/x3/iy37DP/MP/+K/+2/6Kf+L/9rnfPbM/Jtf8dWf9wV/91/3U//WL/kl/8Sv+9d+6//793/T9/7gvf0aercuJ+e4JooRxVtIwaPInJ1QYh+qTrF7k2G1N3NS3yRTmzFarBG2TJ7Xsg4C/HIMlmTmkjHJhKmTcRHrmxSk9cyyOa02F7X2AyctoeXvFIw52uFUBg8QK/VlSq5rrB0BziBv40OI1xWRRuA68a9qTMfSLw4Um3pVtbnECZP7z8p+kJ138dES8Ho3c93zbq9Zdc8VvzPsu+1L8srI6ja8HxmkTiPPAJuN1dd6LbwE9GbzC0Of2od3PtDXzUH2JudRXsetfCm8DPV8sHM1r1iy2+pbJln3vt1cv5CRea7kHn4lAE1BHMyTuRpWGd3RleudLjs8XvL9/moWSVb2uVzLfedt/MHizyTqO7M/RTah0qSz3/FLoeVKj+iKguCSm6ekKXm41M/ieDvbjJikM7Ndj0BCVnPaGgEzJ8bkPiYKYEdW4sxEjzZG5urs9naBTJ7IGT/ROJonZTLNEJ9Q0V7WYrT6tpaxG+pmtLyMC6lqqZhVnuRzCjuRWVJ2HTajRXMnnM81k6k24STtkyLJ2HEtEssbT8PI00TJZCbR3x2vpHLSmWdXNp4rQJKDRdvLNrkk7BXTRtazc3hD1mtwEXKYKShYNvP2sznNZ4LUDTc2wrGbNifcg1AIjfI2ZOM/b+MRtktMLfQom/Dw5QIk5rRaNgcR1alX3mNS8n0Eu39Dp0LO1Jv6OpP9uLxok9A9lExewg5mN9bIK3ABtsDs2tIcO5ff8+4Pf8T90Y/cD3/k9eFn5dw/f3vkoz9jPtR/xPr18f/L1l/AX1U8j//4zN77SjokJKUEu1vsbrC7uxNUQClBBBQRW8Ii7MbApkFKAUGku+OV9+78n3PuC9+f7//x29ec3dnpmd2z59x7efsOeSaSyfJjZsrfeJhqujLDVzDus6S0zLh5ND9KKlqozGSzUSr5eUt4mU/FkMZFlt0BiEQJWc3LBj515MdUfja5dQnf/eIaEFVA1TeY0TETEYjgYiYCrkIDV6+gVN0sggP2ZuRY2bp9x+y//pm9YMmsBUtmL/x3jsOyuYuWz128fMW6TZZK/bngn6f7DBr2xjsxxatb4El27yPd3//wM+WlOaQzFv5eunri9Hm/TZnz65Q5P0+e9dOkP36cOP2H36dP+H36j7/PmABMnAHy08QZsH6e9Mcvk/5YvGyNcEpysHLopNIxXbRo+boR7338VN/nH32yb7c+g95654MFi1dkOBOD/4fzzaKZbd1e0vWpgQ883uebHyeJf8xLkZ+IigJCTqqaG8RUWDSm6necExEyLpGkyy0vuNBcMqCAODMxEQW4dvduC6qIM+jcuiCdiDBXVUS4hIY1+v+AAAx5MWQgwlXC4QKYC8vMYD6jS0RFkz/IIu6WK1m95MaTHE9hcSl+XcbcDRzHFRHzE8rMKeKSAe/Qqwi8GCQGocAVCSpuR5KmoOoYoaJqUmVEqhquoJlLBdH0dz9NGvzS8IFDgRHPvzS8MmObdpZ++Mu8Fz6cMeijWcDAj2c998msQZ/MGvzJrEEfA38M+giYOeijmYM+nDnwg+nPfTBt4DiH58ZNfW7slAHjpg4YO5X+lc+mLF23uTwTXx85usczL3br88ITvQe/M+7z7TvLxVQ1OAgxKLFAEQlKwIRpKsrAJBnooEBKMhITUIGZQyA6VyBSMFA3nFzY276rvO+gl/sNfmXRvyuNuaCGOWyYWbakrPyl10bd9dCTv02bGdGUICH9z4q1Yz/9ZvQHn2csJeIhCaZFM5n4+9RZL7/53rRZfyKclbhh89ahr799x0Pdfp0809jPomqqEkTAchc9HqUya9/9POnxpweMGvNp5EjhxkEyiT+5o9XlXDtFAJZXuGzt5nc+/LLHM88//ETfx3r0e3bI69//Nq1C05GPtS5mVIx1HP7Oh3c91OO9j74uKc+KYSS4HU4SBkJxChgBuI4qAsm2gRb8ABEIXG5MvJlIVAiqLqZMoRqulFFgiGJIJHc0iQvhwixHhIpcFVFcTVCFS1CJrIu5UaSkqlluhKLI5iZEBuJ2kgFVRmFQZPDtKFcilujTqbHgEIlBEIFi2OPKmYmCrjmHSyRH9DlhIue9KXpCyyHIi8crEkVy8oz/5/HmYrsZ4GjDjDkVEck9d5i7rkL4j8MEzw4RfeGCgjuMiDATmjm7CocLBgF6gqvjfhG2Ww+YdgaJGJJsTSQBE2a5siRs+Mqy53B0hYuJqdInV1I91JyDLklgQh1znzzh1JKZIW2miHEhgqEqPJmLqkpISV7+xu0lr7z5zt33PzZ85Ht8bLr4wnMGP9vzyUfuadygTghhV2lmzp8L+W6ybbPGdWtU5xfwI/Zvnxd07p/zN2/dIZpWDeotqBB5DNnKNs0a3XLtJc/37z5sUJ/n+nS//JILmjRuuHTFyuHvjL7vke53PtT90R793/vgy2VrtmTTRZLKF+4Xf3HnRiYkgvTsVAQQb0btOAjMoNA5SakpEEkKqpnCEieCiWgVsKdVoFIj+qo4U8xcSoNgwaNWFw9BQkpSKUFSoGBZhC9rnJiWAKRUggifD+nRVKF5WNEsSjTi9sVzYsJS9r6JBsD8bSQlopFMKJKbDY5jEAqaJnQx8Yma+3cKRMgsuKGaDOYknDMCyHuvom7F8BVE6NXUe4VpouWVmeVrN65Yt3nl+q0rN25ftWn76k071mzeuasCJkm5unhTmhn+AfGMGENehaT/WrL6k69+fOPtD18bOXb0x+OnzJ6/s8L4rtaCf5pKskJNLOSVZ8Ps+f8gPPYTjtI/tuEjOXLdPNEyIIgPk52lFRu37dq0taSkvFKcZSLcnAlGMREjYSoSUr9MnPHN9xO/njDp6wkTx/848dufJ3/7y+Qffp064bdpP/w23ZHfp89d+C/fqRHAV9/+OmL0ZyNHf/7uB1+uWr8FoyIxVzAxFZqaqAJ0JrJxy86Pv/xhyh9/bd5RTkaiKVEhEMlJEwYAxaCps2AkFFWsKqIQE4KjfiEpSXN3PlGaCZ9JnQrieoYW+UFh79ADhnxCxpOYExLEXNILo5AcZ0AykcitUULEqDO4hHkiKy7GBPB3Gna60CKXGVmI7xkmKuiqH4XIw2ALORdOFVCwnK46gWSQF2UCIKmqPlNn+pVwHeFSxR36CdM7LryIScKAI34hKa5GEIZFcRHhPoHO3Cl+/U8XLJC7q4AKd5GgL8iSmdeKjWuq4g0iCBMQwDeDk7kCIokJ9ae7EonzYUA0pmCYw7PPYQGQcFSF5NaPOSIO+h9XcxIm0bnYgv1/uC6Xu3J1BYeryOb0kE4QhQFR/FJWKIeQprlJokoiyOG5BEUFhExEEVZhknTBSaLQUFGLTs9fv6VkzCffPvj4M1ff/MCVN9zbs//zGzZsjCLPD3vryhvvu+KG+y699u6Lr7p1+Kj3RGT2vPm33PXQRVfddsGVt194xW13P/j4qjXrRPXjL74+t9PV515yHXDeJdf2GziEm3fxkqU333bvBZfffP7lt5x/xa1X33TP6nXruet//n3KeZfdCOWSG+59otfzP078oySbiukC89M/0AunbQjK0quoEnUwX1yfSNIZiZjmmjiJuQrNvGiKj6x8/9OkK268//Ib7r3s+nsuvf6uS6+/+5Lr77r42jsvueaOh5/obamCxctWvTFq9NhPvuIdLmr4Z9nyz7/6dsYf84RTXnTbzpIXXxlx450P33T3I8DNdz8K3HJPl1vv63LLvcBjN9/T5UaHx268u8uNdz2Wg2FvvsfpY6qSypO86q+NGnf5dbc9/tQzA4e+9uJrI5978bUu3anzve+O+7wsy9YVtpxZKKu0r779+bOvvp855y9XJGV/LwxCaiTONMG8S7IUgWHkKiK40hB2k1lX//Qmyp8IHXtQhaLQaUBW8KrKDCJApOCJJVWlilhNZkJobC01iJhxGiyogJMgsCZqOR5Snoli0S/qbyKED/c/SMwjAMd7pcOBqNIrTVxBhRhQxLDLcRm2xZwkSeNwSARdElkTZETcBh1ESQI0Jg65mWOKsCuCq3hHn9OVpJmqUzn306I85vN693u+V78X+jz7Yp8BQwc8/3Im2uZdJR/8PGvA2N8GjJsEPDduksMHkwYBH04a/OGk5z6YOHDcxOfG/Q4MHPf7oA8mDho3kX4g9A9cbPBHk57/aPLwLyev2rwtk41jP/x84NA3B7701uBhw196ddS6TTyo+CaQeJTLI/ovcVUlejWh0QMgFlRVAFFxrop6obwjNRVRVaE0osqYQEiJP61T20sqnh82fOBLby76dwWOcnwxpXqsXmU2O332n9/+NHH5Km5YFSymC6b+8WePPoMeebLXropKU49AhWZl5RWffjG+W68B43/8LQvdtLSkfPafC3+ZNH3ZqjVI8mbkcpqEISqAJr3E0rLKn36f/uJrbz/3wqvK737QAQS4K+iDJDN1I+m8ryf8es0tdz/2RK9BL77+yptvU7G+A4beevejdz/05K6MSnLbmmQRnj1v4bc//f7XgsUkIoKRnLtcfgluSe97Qn0LVU3JHpcoGBwKx6YGERpSgJgwRxVBbjUoORARJ8IFBGPoCqE7EZYKcwVxrquKCVzvDaooRumMi0rTu1+hGRfyrAiIKnKMOcBJgnDYYUdQAlQVTMGEpvI/JCi4Lw6uPEWfQsk9AyTXzKA45Kb0ymVcCUR6n+AZekjAPdAAABAASURBVAIqmIQs5MclflWJiDfHGdUPHUmYRm9EaUJejgsdl8+FpiKECiJIKaOKJRKgIijCNaGp5rgiPgoeDASu0MxxxpyuKkaMNy8ELKfM4rHs5mKKgQRhdBXJjagIzQzLIgH0/wB6llsjFffBPMd1BA+5XYEJ5RlrlNwSsRhCTOfN+mvRvQ906d13wLw5fzaoX7dXj8cH9nvqxI5HpQvyJa845lf/c/HylWvXY/mQQw7YntGtldqiTauUho1btv45/2+rio+FJyfxGe64X2K2TvWCYw7b76arOz3X54kPR48Y/Gzv448+ojJTOWP27BHvjX2sR59Lrr3locef/m36vEotkLwi07woHKi4AuR/jYK5XfHVDbAMlpGoiAo8QNQz4jLHRMRpVEktqPrnHJ7jQVQ0BAkMKVM+JKSZi6b4VkVCvgH+o02ChFQiFkRSykfBvCLhO1+4qZSq4IYaAp6z8eNMWlL5kXNMYDqbQRi5T6JEFjpVpOliSfkbhXAs+Nu8ezd+fk8V8KYh6UIL+VHSSQUll5rvCSyIZKHD1XR0x3h3Di7wkBB8TK6g7lWNm9YrlTCF/aI//T713EtuPOfiG866+PpzLr7unM4OZ3e6dtxn31YmKm5UHDP6EATriWuyXrxy/d0Pd7/8hjvu7/JU9579u/ce8MjjvW+49f4rb7jrmx8nGmVBmF+HREzT67aVPtCl5xU33HPvo0892KXnjXc9evUt9/0yeWbkEabexBvfj0tJRi6/8f4zLrrx/MtunTh9rqdmOM+BiAIqnkiQVH6/QS/f/mC32+5/4tb7n7jl/iduvrcrcNM9XW66+7Gb7n70xnsevenuxwa/MmLzjhIL6V79n3+0W99HuvV56PHeE6fPyQbe1lQwrBhkOUxAhHAt6VIz5i68v0uva2596MwLr732lgfXbdouLLogxfL6ACbind9iaqJMHFgmAEMi7AXqBUNyU7/vQPGao0HdjTiZC1toSABVgvKhSskSIhoYhSzuT7x5fRiNy7k5thuA4OZcMOelShKCcQG+HVSqHKho0jACRQMTwRi4wAIlR2TpHaAxcRAUuJBJrBo44INVCTFVLrdEQNhEwxFoCTgDxMTlxZlVFNeqcuHUZOoIpajCBRX0cjb9Ca5s85CoOxnEBxHEAPULCREQ8ebFlkREKYRTuDhrnM468+ABg++l85sWVCJWVbAASxlQNA8AshBd5D5kFHQRhW8wElFwfJkwBucyQY/NAle8OVEFtiPRQCRiHQpUcSl1GogDvtyyeGecN4mkSMxiVMXFofhG8El0RYEa1bBsRKlm7ht9E2FuvOLH8PYHXxx90rnX3nzPS6+8Ne6jLz787OuJE6eVlJSiy5vKR5998/EX33365feff/nd/Pl/Y3nbjp0//Trpq+9++eqHX7+a8Otvk2cijOm1azd8O+HXbyf89v2E376b8Ou8efPFBNZPv0wa/8Mv3/z42/gJE3/5fWpZWalKWL9+4/cTfh0/4bdPvvz+2SGvnXvx9RddeevcxStiyJeQDiGIKr4ssDSBaEV2bwEm5C/GVgYVyoVv2Ek+nqB4IUhUJG7bun3JkmX/LFkKLP5n6SKHfxf/8+/ixf+uXLFaQpoNVGmRtzHTgIcYjVOcCzsx8oQqX79+/bLlK5atWLlixaoVK1etWL16+ao1y5evWbpyzb8r6VevWLkGWL4SxGH5itUbN2w2ZSNEzsHnh71+30Nd/5r/t8R4zJGHdb7wvGOPPCyTrZj95/y7HujKV/4xlWKhPE2eB0JWlsmynJ678jlTVHlIiCoJsnSi4uvoyTFGY91NI2pGzBQAjGIwSeSNJlyIRwYx2GQIihmIzDGIZcCNc8HDXG7O1LWlym5ECXEGvCpMgnI3opROk8ND1bloi2ngAYkEVcWrIyb0kuskaTlt6JZMJcdjYqIxYENEVNAKElXEAzMQYz8wrSIQiJk6XeglghM1TNYAECYeOEwwQZ10LPqTJ+GKBacLcqoahLBDSgLpuP8VK1fuLCmtKC+1TJlmyqrlaXEee9P1Iy/0/KCLQ8uaZbGYQIwxk4l8hvI+E7NANmaBGLOJAD0y0STmBynEVcxqtjItrHvctnNnZSajQUXVaPQERmhmJG9muVBjFpLCMZKFqs4UZxoMi5BcEK7ny8xJSgXMN3cQUeFdRLQi4z9elVfw6Fd1TdcScbZb1JBYwrAXSRBQLa2o2Lxly4bNW4woiROi26cKcWdJyZbtO8r4lYr7N/eVOS5dgCGoBsEHSxECpiALc+KPumPHroWLlpRnsi1btZJUMJLAp2ZZZyqVmFdDOKSnzZx75bW3TJ4ys7Ki/NwzT3v0gTtuvuHKvZo3XbV67Vujxtx+x0OWLhJNieCO3i1FPGriyme4xZ7PMaiMIkL1gNxmQFhcRnBoIB6qj1wEANfNBee6GAbwIiyH28Ya3Kg08U0VMKnmXLJBXBKi41iLmtgTA2HKanNKsyiKU7EsA3whVpiJCrs0wDNj+0IHDLpFnLhtFgBJB6O5ehISBDFcAC4tyX4QthVE14cQiVdZByMrx3PWSFXEBCNqIsxyEkHdn18QFSPiuBGTJmKCUpXdhBudCtv9BqwQDCIOlhUCFdFoymWEjAu2nXizqGTkxjDALoRGH41IQJ0rBsJ2RswxGK5rPvW7A9ruAIjZhEJBcm94QVNwbggzuiWKTwBOx6dgDBeekdBUjBI5AlGwgiRLiWBQUHE58x4xE3TFAjr0LgwRSTD3qxLSmlftzbc/POPsTh9+/PnWLduOPvyQ3yZ8fceNVzWsV+u77346/LgzW+1/TLMOh5/V+epFS5ZmRPq88s4RVzxwxFUPX/Vgr12ZzMaNmz/7+vtKcsSs5axjGsdCCxK5fzSbyZNsg9pFB7Rtftv1l3735bhJv353z203169Tc8uWbXP/+vu1t94567xLDz3mpOeHvbl283bJK4whbSGIqnlFxG8gN+n2qSvF8lQVD7nbWJwoyRwVzxd+gO2g6gwRVUZVDUZ1QmrZmvV/zF/yx4J/5yxcMffv5X8uXvHnPyv+XLx83j/L5/yzfN6//g89ovkNZSLfTfhlnwOPOe2ci3nOYgkKNggOb2w209Qff/59+wNPvf/RN3xHSXhGDbzIkmsbNu84/JgzOl9x87yF/4goul4t9NMF67eWjRj76UNd+tx89+Pd+j7/y9TZkl89K2kR4lehmc5ftPSci68/8KjT1m/ZBSEpiTmb6mAIc5giFMpj7EGoaoZgIFvhLoYgsnnzjr8W/D1vwd9/zl8496+Fc3bDev82LWWCrJpvFMEeGireLF34yTc/HXHcGaPe/3Dh3/+uW8eH6+28xqzduHHx0hXffP/ThZdc1+fZIXxNnJUQNVWWSZ993uVvjByzcMmyVes2rNm4aenKVd98/8v9jz71x7xF0U1H6pM1dkbe4JdGjP9pEpFUq169RfNmSQjEDIAmQAimEoD0hq3b+Q591dp1q9auX7l6LfjKVWtXrFrj7z+reAtau2zV6nWbNmcxbbpl6/ZNW7Zs2rJ1w6bNO8vKle2USrGjVFSET1HkaUkZ2TmaEf1l0tRV6zb+s2zFjLl/fT5+gqTSvoBeUkNeEi1uN5Ok6lFREyrvCHUDFQH3OElOBXnFvEFk4mvBcpGICEagwAdhg1QpW3DEHzAKCzB4EHFn3ENOVEgRfY8LXUB9JhqJUl2FQwPHLqZ+kgiRCIgPlJw7NEkFRYjIR+KJSANivDIkugTsXPTwBSCHQ7a4iFjgyYJVp5mfkdAI00FB1S0zImiKU7pkMFETLuJE07nmLlCBDDgSEl0wFc8Xqt93El3BcBVhYQNlAK6IcOO7Z3cEN0IQNwKOLCJZpRNaxIhxiVEoMaS4HJCDLcFyxRdTHEJRhF0hELSZaoSGG7enuBdnq5ibgAuAm6LrJ7sjJi6GCgYUFRE3AqJwRVlU+GZ+ELkolEgMAq7GBEERhBQcBR9Cjmn49NqJBKJS90vsQqCCHxbTH2KIMjFcOBaVRcAc4XkPOcsRwT2yqyzb99mhd9z98JYNG9o1qnN064Yd2zXq2LbhcW0aHtu64bGtGh7VqsHRezU4cq8GR7RscESLPY5s0eDIlg2Oaln/KPCWexwJgCRw1H94yz2OaOFwZIs9IB7R3IVBjkJ3rz0wdWQLt5DYAcFsg/2a1KtXreCXn3+75PIbJkz+I/KixspSGnpSCCZKigziKQpNTYMPZM8QqZCYGiji1EeRo05iJx9/+KuDe7w+uOcrg/vWrlGtuKjotpuu+/yDkZ+8//ozPbtqzLgdY3O5LovFPWJiGT7tcITGbK1qBffffv2Yt4aOHf7ymJEvjRk5dMzwoe+PGDb8zZfr1KmtqtdccfG4Ua98/O6wj94eOm7Ui2OGDxn9xuA7brzUMmVisuiff4cMfZ2tc8zRh3//zcfjPx/zzvAh478YM+nHb84545RsjF2e6LW11HaUAZmdZWW4Rktw7UOSGytHSqwyuZGlh+mruGNn+dr1Gysr+ZwYzXKQlWxGMhmLkfQxgN9EHHtaCca3XAIniKZVUqacbvTBVKPf2/gI1MxEMWf/p2FKiEFCVkPGbQeRXK1BUE9FvsQKgV5CKvCm689sTOFfomVE2GgWcR3SPNFjyIuptEPIj5rOhhR41ll5jquahl1llbyzx5AWnxIU51b04ogpJt0gEavQCNeCBhPoFtVpRoGwogLRvINFLZlhzRFiUZo4DhUrjkkwjArHm3FsZMVnWbzuUbfOSwP7rFo4bfXCyWv+nrp24dR1i6atWzx97d9T1yxiOmXNginOWjhlLcj8SasdJq5eMHH1/IlrFkxcu2DSmoWT1yyYtHbhFEcWTl0DLJi82sFl1i74fdWCyVN/+Xq/Du2EXE3NInkQIZhn5phSaw+UoKMG9eSQYkhwBEnEmAqqCi5uQf5P5hQimipknJhZFLHKyiwfClNJU04QV/KLKBDESjZiDiOMriUGEqELyh4no4pXVUQDn4vEm4fHkhAYMSsUU2SE+mqOoKyYBA53dWZIrdu8Y+bseciffdapkq1QYsMHQlG9ubpgIWt6331dSnaVHXTgfp9/PPq9Ua8+9eQjQ57r8/P3nz987x1FhQVffjvh86+/37CtZNP2ss3bS8or2XsiaJIaRogZh7gRFSUSz1K8UTbOVqa+W4JzoThD1JMl3JDMxDRoIpabUmdOYGyFgEWnqQjVIHjhAlwiYSYGXVi8qXpE2Aac6H7Rc3eYRxc7RGummlNEIMIVgeGxQE5wE1cTVgiEFRJ0hcZGRhItwsWIGTRcep9cpqIgfpERmBgm/XI8mQgEdZ0clThUsOYewH0wVshytMDgbBVBz4KIr7YQM7IRS0yZCeICBW3NNWJWi6ZCCh4uBSPYiFx0InZQo7oQkSFWhMw0WRcDcX3BLKPLgqpgmStBRVBx/6hAMGRUooqKKK7gurAI4bsRMRUTmALHjKAVDhTwUuvcAAAQAElEQVQTmhnGEi7TyIVThAQl56o78M5FcjQBxQ2BisQQdlXEqXMXnX/xtXfc9eD27bvatN7r2T7dvvp0dLMGtSVTIjH7z5J//1q8dNXajeU7S6ur7pGfVy8vLz+d3mm2zcy/+xThzP/goy/GffJ1RcZrEWOkflFwYEpQRu1VgyhpmgXLaLZUKnbs06Lxs30enztz0og3hnY+/6zWrVoWFhUvWLT00cd7H3DYiVddf8/HX/+4aPn6LTsrMpqy5PsOTxCzRikoEokJ+Sq5gAaYyij4If8Ai1kCzoLK3S05CUQdC+n+A1865oSzDj/ujEOPPf2Qo0875MhTDjnqpMOOOvGwo046/KiTDz3ypK9++AkTxsNX5J+lyxcvW7189YZdJSXGgSCRP6NFcaeanvDTpLfeGfveB5+v45vN3JNCgpC596ld5RXzFi3+e+nyHSVlMUbLZmKMy1dteKxb330PPebWex59dfjboz/4aOCLr5x1wRUnn3nxtDl/Z1AkVvUQNm7ZPv/vf5csX13mH2qVxFnoyF4QJIS5emfsIQspVUWVTiiDwYmMoqxGFsr/B2BL4HulkFZwc9MYyWj6i29/ueehbjvLkye2i5hgzig8wF0i2Wj9nhvywqsjKi1lqbxBL74y56+/o2g6lWrYYI/mzZrm5+WhM/evv0eN+Xh7SaWRuWUQmDFn4dDXRsCqU7vWpZ3Pa9m8cVDCYIOKhVz4agShKQ28GwQOLg3QFarH4LkrCMAAQ1SCSwRPCJJ4oHS7dpRu2rJry7bSTAwigYWL5g0WQxQtq7Rvxv9o6MMV2W+/DvXr1fXcoqkqYsKKmymaxpuqOE29RE4hGjimHlb0WyC5K0EUEYgmAoK0esAC11RoINzQIoiZsDgqyk2JNaGZKnFFyqwCjoAaAiqCuGBEtSpLE7JMLqUHV1HiDComvkIgEFRz8uSru7meVMIlVvQEnlvAL3p4ZuIxuh0FRyQbqB+olwLrQkhizHHkfSKNmKjACXQMePbQhZjx4Fy3gV815FyNS6PnawZbqbtCii6tAonZ7hE+Sn4vIwGGDXr3i5CBRkrqRGdHaBgTasvURBMGxAQxYoMMEChuFD4xEi4TEabUSXwqKiIJIv+3qdNUJAeMSZDJNBFWGD6TXPOZW2ZMysuYYzgxJCFVzZ1AqB4fl0lixMVza2KSWBYaiJKw7G6qiLlqQkji+X8MU1ITiVGihby33h034PmX6hYX3HTWYW90ufDjfld+1PeKD/pcPq73peN6XTq212Vjel42rudlY3teMrbXJWN7Xjz66YvHPtV57NOdx/W6+COgZ6cPel70Yc9OH/a86IOnO33Yq/NHvS7+sOfFH4D07Pxhr06wPu7d+aM+lwAf9/X+g96XYHxsn8vG9bpsXG8cXTam12Uju13S44bTjtmnxarlK++979FFS1fH5PTcnaWK52HiqYn43hH1Qqj4rU6iKkKZJGGpwmQ9qadYyyYNr7303GsuO+/iC89KBc3PzzvsoP3OPOW4s07r2PGYwyXyNhZdn84E+0bPrUAv3grz0sccfuAFZ5903pknnH/GiQ5nnnj+2ae22qv5jh07alavduZpJ597RsdzTjn23NOOO+/0jheedULnc08+6tD9FMuqU6f9sW3Hrvy8/KuvuHSfdq2ksgwIleV7t25x9RUXN2xQ/6+/F3Xv9WyvAUOBwUPf2FlahtfdzlWTfISWJCcahDpoat2mncPeGt3nuZd4ndy2q2zqrPlLVq7lRFVW1TISK7Mx/vDLlMnTZ5NWJtpHX3w/7PXROyuylkpLyMtIWLVp+/qtuzZs3UW/fkvJhu0l9Os3MwXZuWHbrvXbdm4t4aw0DZQTEAlh3sJ/Xxv14catJUwIClj4z/IxH321YvU6Cakp02d/9Pl4SeVxhgCEioCaEBg/1/zw+7QPv/np029/+/zb3z//LoHvf//s+9+//MH/Rfg3P04Z/+uUiTPmZTVtqdSE3yf3f/6Vv5fwI2faMKQqyiZWEfU/cK8MHAAKRRElTniiIFyi0NkU7HYVWApOLCIqGpgLt4ypiFDS3UZE8EGHjhhPh6xEE6MCobAgr7ggVMuXojwpzNfCvEBf5FMrTFtRXixKZYpCZSGQqixKVRYzTWWq5WWrpbPFQMr7onS2KB3pi9OxOM+KE2L1/Gz1/FgtP1uQ5ss/8abExaUJrsQkLKtPQNU8D4gimgPlPjConoiKahWVEYZIUAjBSGw34gYsqmRFYmkZLyKWzs8DDAHDgJrQzB/ppjHrtllNs0wCkcLwaTRGp6kGAURpELKUC1XsCGXjYiLwVUWJQ0UAv9iVIhJBjSdSumDCLxNXr1nboEH9o486QlUQVppQfIIknChYjrZq9drZ8/7KLyg4/9wzDzt4vxDLlURirFmt8O47btqzUcOS0rK+A4Z0fXpA157PdX2q35w/5+NGcCNCh0l100FxYVFoKgJ45uIcZYJXiDilaOLNaTmi96Y0cnfcucQYhToxeqXERKMKNTQBh0qvLijuiY5MJGkmqoBqEPENLDRopiIBA2bOlqpeNCCjiLisUjtQFQVAGNUHSXoVw4JEVZ8qRK5giYCwEZyr2E0opiJAgovgN/oUtnj8WPKRNDRHNmNUaMIouWYMyaX0OZ7BNRGcCQ0aE2HqcSHldPMOjpKs0kTJUF1G6YULQEeYCk0lwZQeiqojotzFqqDi0aqIqpKDuwAP7k5ou73D9AQQUagIo2WgDl41QTeXsohzk6IlygmVZ4ogihKGwJKyMLILEcpZRs/3Pt94IwlVBJt8o6R5i5eve+G1t6+87o6vv51Qq2aNKy6+4PWhA/g5K1+zwpc72BGpWbN6UK2bn3/lAR0ePOqgB4444P4jDrjukP3rFRbUr13rnJM7djrj5DYtmq1eu27wsNenzP4rKwE3DngXlg6PWWEHMvUYxWM1isSPXeU8emoVhkvOP3P4ay++O/zlbl0e7HzBOXu3bVVaXjHus6+uvP6ui6+6tfszL4z++Ns5C5eWxcBXYMbtiYncfiddcJzRY9OLzATg1YteBY++qCkQc66rOe7FU0Jp02avY4864vijjzju6MOPO+YIh6OOPPaYow4+8IDq1asTciaTtaosWBbqwkREBWNug1yTFRFaOj3tj7kI1alTp0bNmpSczCv5hbwss7W0cvOusi07SrPix4YH4QWJm7Zsf3bwq8NeHVmZiWecfMLN1115641XX3DuWRw7k6bPfLjr0/MWLo0hEDmm0MrEbBQ3bESARwcTcAIVGrgHJbmTBCKI5uhBNXDlWNAAGKq5UZB1TRXf8gkDTFSjpJatWv/KG2+v27BRyU1MVfaoX/foow474YRj9mrRFPkggl5FpnLEqPfn/LWIDy2ffPmNQVQ79OD9B/frMeKVQZd2vkCJXOTrb77fubM08vjgd6cdJS+9Pmrzth2pEI4/5oizTj8p7cmGqEFwwx6RIJKSECSocKmddOLxnc4/p/OFwNmdLzy70wVJf+G5bdvsJdwupGGSx6MjP600oanAEBnz4cePPNnzmedeXLlug4SUJNykc76F1M8Tp82b/7d4I3bpfNF53AIiqFMcpzjOLDDm9CCqX8QGnR1BACBMwQFjIgLiIxeyxKfGciLpM03M/2efArnBKj3nIecABZCoQks6tEXYC8wTwGpCwpvPwVUdURUALNeLOkrvo6OqCaYJich9akwAA3dgx6p41uLNwxGBLomOcgBpjmsqSVM4QhwuaSAOJmBcPnqKyKjQclQojohg9j+ygCVAlzNNDIkJbItGy1VDqF7iCTGhKY3BRJ3AMSBg4Mzo0fe5aFCaoyZJIw3GZGKqhjRTh/9hOabgDMy4EmO5Z6eJ68BCxdR1cngUJuZzGA7oMYOChppIIgaF0fOBAmBMaOwTdwGXHOEa0gAWiR4OOuDYogaOw0NLILiK7K41XCclNEkWkyCQ1dVrNwwZ9np+CBedsP+Dlx91SMtqNUJJkZYUh9JqqbIa6fJaeWW188pr5ZfXKaioW1BRr6CifmF5vcIKoE5hRe2iytrFsU5RrENfbHWLM3WKsnWKs3WLo0M1eqtbzaDUcVasXRgRqFecqVtUWbe4sl5xRd3CynqFmUbFmfYN8i47sfVj153SoXmDxYuWPDvoRQm8ZPuCe6AKkiQvzETIJkE0QYSWy01VhcrkyCosY0DRlflKoqRkF79WpVOhWnGBWEaNV6QomvSSICqY5pA1BjHUqWmCZvm9SGOlWEayfEuUtaiDnh/CLwLNmzdr3nxP/CCGcJBs0KyIL5WiH8LGzVsrM5lUOtW6TUv1B2pWqT08sWZN9qxbr46JvDF85NCXXx/y0uuvvzmqtLSMHBARIXKCYHepYAoqbvAhfCck4z79hi+o9tlv/8Jq1ZauXN9n4Ctff/97xnhOCNLYLMvYw0/0fn7Y8Gip0vLKIS8Pf6T7M1t3lMLiLWD1hs18c3bnQ0/e+VC3ux/qftfDPe5M4I5HuifI03c+3POuh3v26v/ykhVrjBqmOC7TEgomTp3Vo8/ApavXR36M8nhS3/zw64Nde82Y9WeUMOq9cV279c7mFkXNw5akqfETXL+BL91xf9fb7+16+32P3Xlv1wS63HX/43fd3/Wu+0C60D/Vc0BpWaVqqumezd4d/dFTfQdt3lYivoDYCUJumFWqwCU+xRd+hEUTipVQRaL4gwNJEWQIX6LHClcTgndgIuIkdJmo0mEqcs9lje/SDCtCYz/5UjAQBl/4pfM0v0gLiqSgWAuqJVCseQUhRX2C1yqvSPKrWX6R5BXFVKGlC4z3FaxhHEOpfEkXCkQgr1ARDmk8k4H4zhAQAjL1gMXjIy0Tz0HM5YQucA+7NVEmgoomDUSc4OWBqkygI0ivmlAgRTBoWSHHGLdu2xZNigoL8/Lz0Sf55NBA2EBMYpbInWEEJuA8tiMaWBAuqISNtGgQUTgQVXEhNG4tckHOEWgAVECTU1lYIVJLbdpWMnzUaIzGGGfMmpsN+RbSTA13RkTcUPjBRnbjpk18cVBUVNS4UaN0KhVEVYME1kYaN27QsEE9LEyfMWvEqNFvjRrz5oj3Fi1Zirf/gapQHOYq4rgavTBhSpjk6YjQLCE6K0GUcBKqkh8g6KloQhINrqgqrBkUMRNOFceUjgtCImE0MdUkBifCA3dMUBZDygSiY4KY0PAIgACwwM18lN0C4q2K5CgWRX3HqzhVmIgJpnNAKf+L0xFswcRsDhH2KHMAHUAiqHK5Hp4dTdJznlt0urtABFkKBQPAJf4NjuYs4iEnLkJmxhUlZ8yEZvSAi/gFu4rrM/i5GVYFL/hE1lXEKSCAG3MqI54TehXXjaEPUxicmTB8Ioa4eIOboIYI1lwCN9HHhJ50IthCpcqGioo3dKCHhOpcFaYKR0FM88pi+r0Pv7nrwSf7D3xx2bLlhx9y4MBnevTt8ejRhx6YRovzIaTY8xLStWrXzktp1yRRmwAAEABJREFUvbz0Oe1aXL1f62v2bXndfq0u3q9Ng6LClk32fPKBOwf3fLTP4w8c0KHd7Dl/9uo7aP2mHZy3yXmVrepjVrhr/RuR6HkYGfglHkpWLKOxIk8y++/d6p7brxvyXM+XXnim79NdO19wNu/0C/5e/Oqbbz/w2FN33f/kw4/3Gffpdys3bMtyiHFLSqAWIqLJcpKYgGKYHpb6TCSZ0FMEgQdVkkaSbJrsVZdcOGxwn1ee7wu8PKj3sEG9XxrU66XBfR9/5P6WzZsRbV5BviEoioHoFlzbOAPUxKe5EATulu07f580tSA/f6+WzapXL85alu8XP/3y+zse7HH7gz3ueKhHt579jQV0Pb+yonPnL/74s6+yMXv/XbcOfa7XwD6PP9uz6wv9nxrYr2e9urXm/PnXV9/9WB45T/z84UNslvold6zf0Z5ZsqjeJXlhVRIHfiRSWOYmMeObAMfqCocctN8zT3fp+1SXu269oX7dOm7MExIWB9w4gU2U4yMHwktKmDpzzow/5sRo5KghdcD++/bq9eRLLzw77Pl+gwf0Ovv0k9PpVAicn2HpshXfff/rmvWbN2zaauJn+Hlnn3bB2Scdfcg+XR+6q0b1arhavmLVhk1bTELGwrc/TuIrrWw2W7tWjVuuv7JJo/pq6IkKwBEWxMNQYa1ySMx2efCulwf3GTao57BBTw0b2OPl53oMHfh0zycf2af93pK0VAh1a9WsVlTI6vgSURAhcJk0adq7Yz7+8rsf+WiHQQuCDzH+2J2yqzzTb8ALGeoGwUGaNGli/Jrqn/1UVFGRIKbBhKmA50ZhY0jS1JBKMIElIslRhrgJoYiJMgriTs/JKo8TgYmi5UY1Q8wvBuewKAziFEFX/muaHDpiEA19ESqUuFDvVYTBTGjqDhEDTcDgiLBeyYzOuMSJpkJLxMWSiRNMvfco/FLYOQWf8dhHw3V9IBpzHp1CU6cphARh4uuYaJEmfCg5jjExZug7OIYX4SYzOEzdSE5RRNFxbnI50REvBnRR4hYI4OZxV+mLoQeLaoIJLXcrJ+LMRMJ/BXIa/jQh0yWId34JKWBfkktoqsgz+kZyAcwzmBMZYcJzYJIjOsejhghNRUEAM18QVU0ILqpQmdKLqCZcEKHlfMED8IewGyVmeKL/JxH3ozTohpIlNzn3cTQ2Or+6TJ22fuPmWsX5Zx3Vul5hNljG00sFTaVCOk/y0sKNnU4Jb4MpUXZ/EOHI9TeJmHgxmni1E+sukXjxTZFQvOz49tX2UJiqYEg1uD0cBUmp8rxJa6ZIyw/bu8ER+zTPS4Vvvv1h89btogpwiSkNTVGhOU7CCc7UQACwiBPq4VIKJQRNpUIqLQls21kSzfLyUhxDQVUDneeDQrToiRA2hxyVgYQlDEpQUR+9M4MLPaR/+HXSV+P5BVxWrlr95dff81O58TTSlACW8jMipCRQLyksyE9RH7MdO3cSJ4YtVxiRsvKKiopKlXje2Wdcf/Vld9587W03XlNUVADfNyqXiqpQZxUVmroBC6n5i/99f9zHRx52yBWXnp9S46PUslVrt+4sMUmbpmJIZQNnqy5fvY6Tjm3OM4NzjdrEGI2zLma3b9/55dc/fPvdz1OmzZg6bca06TO9nzFz2ow/pkz/Yyowbea0aX/Mnjtv+84SIYKQKrNUWUbLKjBmG7ds374rs6MkU2m6bXtJSWlFRQUfQYmkYmdJmSfo8aqQLVcQkZC1QP2Li4oHD+g7qB+Pt+4D+3Uf+AzQY+AzPQY80/3Zvt369nrykYfvKuT3nZg9YJ+2D95/+w8//vr+B59ayMeCcvBSB6+BJCM7TUESsP+7TsQr/2sWPQwRV3dZ0WiKLquDkqipsp81J+QCJjEJHQqswJKy/TWkNJ2WvPzVG3c89cyLj3Z/9rHuAx7t/tyjPQY+3vuF73+bkZE8SRXM/3dN195D7+/23H1PPHfvEwPoH37qhW9/+6NCUmQxdc6iR3sOue+JZ+916H/PE88+2uuF32bOr7CUBiVklt6SiCR5LhAa0+AUURoSSKkK0qrMElDCzSGqpOH0YN6LeO+lAYOiLknHFhYWKUbcrV+/UURYl/z8PKMy8LzQwaiXujqSCCS9KVGh6HPW1WlRQ5SQ9O6abQZTVbGMJSQQN5Ho95Ql5mCSKuaZqWmQvMKefZ77e8m/iG3YuPnxbr1vu/uRTdvLePVESDAlSEquKy4qZFJZUblzZ+5uYqFMiEqkIpPdsWtXOp068YRje3Z/rGe3h5/u/lj7tm1EZLeNIFUhEJ1SFkypCb3QTARLTHIyUMRZ5p1aJGz4sF1MvOEaEHWaiVAxFQFMnOQI9lg6cTThSNJwKdAQoxca4jmfIMqhgXzOCdQEF1MafRWgA6h795ELMC74wQcunhaWs48Jg2DMQL1XOtZFPLicJzGheQePZWYipoKcqOb8/Bc2qyfR1RIKfEEwEQWJXA65uaCbc4LIbnuCPccRUaJwp+JNYfjI5Wp4sP9RnMiVAFxkVSSoKiJcCi6ggConniQMTDj8D3cRd836C8YT71qVLpIq3ugNFVADTcDlxWcgRooGE0aSmgkY8mpYcApJIasSoUMKeXMW/nvVTfc8/ESvCb/8Xl5ecdN1V78wsN85Z55WWFS8bVfZttLK7SUZfoPZVpoFL6nIBuUosXyJeZJNa0xJJm1Z/z9SSKVq1KhWv17tM08+tusDd7Ro0vin3ybffNfDK9dv21aS3bqrcsvOii3bKzbtKHdkZ/nWnRXbdlZuK81sL487y2RXWSytkLIKK6uUyoxkslJZmalZo8YRhx58wzWXD3jm6S8+HvvCc/2PO/aYXaVlk6bPfn3k6Psfe/rCy29+qGvvyTP/tHSxhTwTNhiJBeXOpSL0GpgrdBUVmhciyZ2ZehN4lFokZhvWr7V362bt27Ro36Z5hzbN24O3btK2ZZOGDesnEtK0adOQl695hZJXIKk05gCT3bVlAqhIyPv40683bNosqpWZWJ7hqcS665Tps0Z/+NnYj7/44JMvv/72h4iesGYsiWajzvtr0YbNW/btsPeN113RvFG9NOW1yga1iy886+TrrrmitLz8q29/eOWtd95654M33/7gi6+/31VSijIPTHxWAclBUlGfY93E3Zo74IiLUf3jUyRVQcyy7du2vO+2a+679ZqrLjmvbu1ariS5ZEjXBDNGPVPC6aEiQUvKyuf+9ffmbf7mQ+n4we2+e++84pIL923Xqm2LJmeecvwD99zWoX0b9PCxq6Ri3l8L165bHz1Pzc/Pr1O7ZorPa1ZZh49TNaqLSDYbd5WVZiQsW71xzEdfrFvvp33ni/h99JgQs4oEXkWNNWRCDwghKS5Iqna1wnq1CuvXKKhfPb9e9fzaNfJrVitcsHAhLwzkJzw4iov26dAuLy+FAilBAUgMdQQIUvj4ZMl2MO7LaJQqFIx4e9zUGbOR/A+6dus9aOjr2ypi5CvIwGsMMQQuURULggEUFXElVmHjSbIpIDgQNGK7wSngPohLgkRSZFBXUuEPPumB+HIQLwDZ8IaY03xwotApE4JgcECPeQ6Y5xAhO5SZUwXNeUs4EBktmopTvQdxq1VTZu5CVSEYQXj5hQauDOokcAZ1VpJDou8U8mAgYKJS9yHgXMplnm3ChRYhOLhMMJwxQcDlxB0nym4tIZpRcUkaRswQAywhgLi6YRk6KqwMOD5gQwEQSYiBhUlYEGCCViFBjMYkcQuL8PDivgiG7BIuG8YMpnd+SRKVayFR5U+QFARdDCMxJ68S2TzUBIvIGp6FjNh+qBEg5JxBZ6Dq1EQOc+ww0BwRX0Ky+DX3YSIqFhiQcAMqirjROYZVvu+CC2CIJHNBcPAht2Tpykw2ywtK/dq8xCCrQVNBUqLBNCS9WgjCHRxSMSjAfZvhbV7TUULEr9GLkCbakYgkw4zAwB14zbKYTDkOsxbpM6bZoNjJ4iikJISoQUFUC1K2Z/3aeenUrpKyVavXUkfFrAgLYEJLOvHjREQBDUJT8wqIBA+YPjJXE1VRAVIpk5SGsH37jqCaTqeLqlePIWXc0inu6jSncDbL44dws2L0JiZi5k41sSU+NYlA1LBxe+lTfZ7jkxLWt27d1m/g0I6nXjT9r38kv1qkLMRkqJkaAcS2rZsVFhSUl1f88P2vMeSJut+oodJ0+uy5K1euqlataOSIV1558dnB/Z/q+uj91Yr86ygL2FYuPAv5kp+auMlUeSby7dTCvxfdevN1NYoLUkjCNSOLkozuqkztyISSTKqkQrJRgvpWIHrsGBelFui+CFmRCy84Z+miOUsXzli6YNq/C6Yt/Xv6soUzltH/PWP5whlLF0774esPDjt4XzOdv3hp45b7NG6x9xNP9dqxq+S8Tlc2anVA8/ZHfPntrzyzMZXNZo2/SstkMR5x5QXkUkclpEIqTSz169a6tNNZl1x4+qUXnkF/yUWnX3bRmZdeeObFF5x18flnXnr+Gad3PCqt5JlJSeUdN15bv16dT7/4bunyNQTPJmJFcrl4b5gGBJZEkOAElzDWXCwkRDVqAEER8EhMIoNKEHEpMRgmqiCSNHyLUjQ8IGkWNKDqEETTEvLGfvTZsy+8POTlt4YMffPFYW8NGfbWoKFv8Hheu3GbpIteeWvM4FdGvDz8/ddHjnlj5NjXRo0Z+sa7I0Z/vHHLDi2sPvClkUNeG/XKiPdfG+ECr40c88Krb3/46bc7S8vFcu49IIJWT6SKBiNYDocjnmtOmKiJUbhXEXHIkR0Tkvi/MxHEAMU+atxYJuhaWL16jYhUq1atMM27B0udiumiyE4urKmFdSxdmM2Z4R6O0YhCETc6VfFXooKaVljLimpLUa2YX2QaYAd4Hj/iOKKSwjNffcQWFIBjUH0S8sd8/NUrb44yk4MP2v+gA/bdtGnz8LfHXHjp9QuWrnaDIV80bVhDQ+JezfasU7N4565d02fM3rBpW/TUsWbswK+//3HVmvX5+enrr7nk8Yfu7Hr/bXwp265NK+IRiuEWhNUEN1Y/CU1EPCp8g3jMTE1yTWMympKyqfuRQAjIqqizEEQGNj9UR5SjcyMsQCxSiAAVRKL6fkLekSqumII5F7okwYljxCWmeFARUWyKN7x49cTDUHWWGAeVICfqajlM3Y/QkIBqxmbOGYRANGYoQEMZIfAcophXnJoTkTdEjInriwWxnKSLgXmtRVOOecaugz5qjhENk4g7wyCjOcNytSQFKNzGGM5xhZoGslR0c3rQmdAbJOIQ2a0r6BJKQvaTGAFLRrdmBhdf6EYvghK2qIoizkAvyDNYUBNVnOXEICUEE0LHrU/ER4mCkNAcYRAni0H1iXnnl7meII2S3x94VGGdCAOqhp9+n3bFdXd8+uW3G/lgYGKZzKi33znh1LOatTlwz732B5rstV/jvfbZs0WHJi07NG7R4YZb7t5VmkGbDYSvIJpSTadSIQQV0XQ+kA4lZ1IAABAASURBVF+Qd8FZp995y3XVioq++eGXtgcc06j1IY1bH9a49REN2x6xZ9ujGrU5snHbIxu1PaJx20Od1ergRm0Oatzm4MatDmq014GNWx3A6b1n6wP2bH3gnq32b9pq/732PuiQI44/46zzejzVc9asWZGbXYyDnO9h/5i34KXX3z7hjIvP63zdlu1lGvJEVUlaCI1qiSQbkcEXQy0psMETbyyJMSYXb/bkD0qfFcsq7/pAor5hy7a16zbwHvLaayP5gPfg470feqzn6HGfSM5AooSdHGQttXT5+udfepOjqbSs/OXXR7wxclxpJoR0/kEH7tf5fB4lPGLOPe2Uk5Sw0GXgGRpt/aZNzNq3b1urepH4Pz8RdphaTGn22GOPFguTp/3xcNc+tz3Q/c6Herzw8vBdpcn/fFrNVDUoZtToPApG0gAkmlAvwDJiWUaJlRqzZlEkBon56VCQ1vy8lOu7anIxUY2iLDQ3OdaECE1Ih1eCaN5izO7VvNl5Z56SL5WSKbcsv0bGIw89cJ8Oe4uSR0Bs5ZrVmYy/v4kYp+KylWtLK0ksb+36TRs2bMJTKh1q1KiZsfDDr1O++f4nVOrVqdWnR1detJLtHbiRLWgQ0uMhE1RYOpLFg+clvM2RSyQvi7zpaf7sPxd1ebLX6rXrJWkN6tc77eTjgmSDxpjNogxZBXUhJDEQfGYlZsUiacaQ//vU2QOHvIZFJEQoBFf4d9nybj2fvezq2+ctXmkpViffuIkkJZYSGqEJpvwyEWIUbImjZkG4+1QEEEmE6BMQEWOFGRjBXcT9oWeOx6hipFzFtSDqM60ywhwB9PBlSQQJrvRo+LKZYRuuiCpkqJJrEaJxQcFFFVdM1RVEoioS4OZasMWLrTGnzMMMFkHQUzyIiHFsIiRi6DJFj8wMCRHNiYKYwGLvqLgpgyNC54gKDa4wMXO2CMmaJKJQ3TKyompG5oq4+ERVGVRc1wkS1UFE0EUQBIAbTRRiEPSdQjUFMjNjgAMDAViC56A4SojBKSqSzBXjyDGTKAlHRBSbzsUM9TARZF1BxK0oM6+AqQoE2Crmd5OBIipaxYWoIkwdUXUcjhCEUUt0KJ/gx+CY43DgwghqiTidCctkTkaSgfTcHQMqYqh6+BapBrHGyEGQSJuUV1RCRCBRjOhGy5pkTcOmMl24PjtvbXbOmso5azJzVmdmr4nA3HUyZ63NXuf4rDWVM1dX/LG68o81GWDmmsyM1dmZqyFWzlgNnpm5umL6KqB8+qrKGasqZqzMzFyZ+WNl5exV8a91snp7XoXkW1IwAqK0KVUiVyNeKy0t88wFAkxCg8w+EEFE0QmEbUyYijASs3jTpOBQVfizXMEYwmZ+TDcLQfPyC7btLBsx5tMezwx5rFvfN4e/U1JSnuWjifuNJoCouxBRQd8oI9szalbS67aU9Og9cM68Bap61BGHnnv26TWrV1u4aMkJp134ULe+i5avq4xKACpEGy1mDz/0oA4dWvNRZMzHn78wbDhHyZKV6+cvWfnGiPdfe+2tiorKa6+4vJi9VFailWWW5WcuE0nciokvnSr7RoPwxglIauv20i+/Hn/00Ue2a7NXgKnctlYZY9/nXmjZ4bCm7Q9rtveRQLsDjtpRWi4ugFTVSfHR5+M/++bndZt3GqcYicVsLN+RLd0Sy7ZqxQ4t3SblW6V8u5Zvkwpgh1Ts0gwhYUbb790BqFO7XjRt2aLF/vvte9AB+9etU8vUoyTBKJa1WMknLs5VSsa6OQTTlIQUD2nlE2Ym8++KVUtXrF2yYs3SFeuAf1euW7Jy3bJV65euXLd0xdoVqzdkMtEsWsyEWHbz9Vf++deCydNnZUU1a74y5ouRdFF82+PdhOeO4yISVUQpoaFhbCMou7nOEX5fEhE4xAbiqCYjGMUiG2aGUdEgiil3pSDwo0mM3DJ8Mm9St+ZpB7c4+9C9ju7QlKcBDkMqpam8ymwMIh2a1j/nsDZnH9pmv+YNFEUT44O9aUXWQpDD2jW7rOP+F3fcf5/me8AVSOquyADfgKKSuFR2nV/EgAnjUnLFGUI+E0GMZKSqoeiYE0ldkyz8kSUkq4mRSBUxQ16JYDq9+N9lYCEoYUTVbTvLL7n65gOOOGmfQzoCRx93xtTpM0Uky8PSa4tuxIsGUU1devnVZ5/b+cxzOp9xdqfTz76406XXffv9jwhrKqXCdqBeksQg7AjxNSWGSHJkwFBWGb//adIT3fsw5UPRs327fTJ2+A1XXVKtuGjS9Jk33Hb/hN9nlGu+pfIMfyYqlp8Xbr7h6nQq9fHnX/Xu//yUWX/OX7Jy9oJ/3h79yRPde2/esrV5kz1PPek4qSy1qv/ARuKfqF2dwInO7Qhf73DjqBqEhGxV1TeDBrgePI+aoMW4RZl62kQOhhXvTbGRlNhnQd0eGIjbMU4CrhwxQSJMEXwhaYKi4Z2LKemZUBxGATFQM2HZmBkTYRFcnduAKboi2DGe+ULDhsdJ2ZlIEh3WJWmKBYGrIKpRBURViZDOQnSrik3A/Tj6n56L+0TR9THJyKUSI5LCLtbVWXRIqSR+XTxYTshXj7kRY5QgElSJE66vC1QAQo4LSTRnVJJA1E1zEaqgJwkTI3gVn4jSRDGo6jQCZuT2Z7/53G1hQwOduZHdwZuKqjJTiZQCY/iDaAlRcgvOBAQpZ3MhnkBCYc5oyaX4YtUJwxCIopHlAlu3cfPWHTsRqZOf16yosHlxUbPCoub5RS2KipsWV6uezstklfPEBJFUKqSDBu61SjSNS1SVy0SDqoj4UZpOhZCXCnrLDddedXnndDrgzCQU5ucXF+ZXLywoLiwoLCy0kKrg+R6lgvhSyPsPY6opZcmi+imQ0R27KrbuKgd2llZKDKmspbKx0KxeYX7D6sUNa1SrV71aUTqNgSj60+9TXn5jpKVSEoKpJtGoMlBTehGnC2XIqio3v9c9msRobFG4no35yFPCV8dooixS2FWR/eXXyXwQqqjMvvbW20NfHfniKyOGvDL814nTUDAKC2BYJGvG43X52k09nhm8aMmywoKCU048PpVKdenW+66Hn1y0bNWll170/tsvjx710nvDX3y2dzfcoY4PMSW8mslPPdu2bsuSjwVhsYiA7aqp7du3RYs1qtdo267NPvu032ff9i1aNE9RZRUhKZIx81FE0KNnKgkV6xaT0DCQNbKLZjGrltXIvZkVVlc8Cjr0doOKsqSAqmJRna7IZsv9P9HsM676dWqzoJLNCKdZrORMYyFZX1hmGRErL6+oUaPGfvvsDYUPXe+8N67Pcy+98c6HV99we0UGATlo/333qF93+ZqNLwx9IxutsCC/z9OP165RKJIx0vcQRcUXVJLEjN7Mc/IrG6Nkou4oy67csGP6vKXd+ww584Kr//l3BTqqkg6h04Vn7duhrRqNxRZCyl0NGtTv0L5t21YtCvNTvgdEoqbKLW/SH/O7Pf3s6rXrEANUTBnoFRvx519/P+eCy/iUu3z9Zr6YtqT+qkiZd3i1RDwq62aQRJW9JmLCHQzRbXGpRHoRKAYDBIyZiYvSqToS0BJswRG/2LVmWHYyo0QKIwLHBNxUTJQwnYIBVxRvRkcAYolEMlGJuYlCdYAKWE5UiBlDELAoCDqmikE3oxxDQnxcKgEDjjORpHHG7M4NRXaOCEroVEmZKBNxBqowE5+JKvIm3P6mbhU6MxUXNVERLLuYSRA1bCgzS6pHAoYlQcpgJyBJ0whDzRmCUWgaRdEEmBhlYOAOS9Sxy8yBX0t8IHQY6EtOHhq2NOfcScxwDhlQhIKPZsoAGM4YElC46phbq7JLRAoZapVJsN3w/1oWotecqLmEOW6O+ZWY/L+IehxOYNsDyZ5IplJVEN720nmWLojpwpjOB7G8/FxhPB3fZ9g08QR02abK596fclX3dzs98tZFjw7v9MjwTo+N6Pzo8M6Pjbj4sRGdugAjO3cd2bnLqIsfH0UPdOqSIF1HXgzSdVTnBDp1fXs34sKdu6A+/LJH37zikdev7jr8kSFf/jB7dVnM86xYNRNy4Jzy+nvoKsScSvGy5TeepjXkOUWoISLijXgZVOkgsQiqbLFg9BTEyAiTIsl0zbr1fCSozMRdu8r++WfpwOeG9u0/eNCQV3748TcOFeNcMcxFqWrgFIZS0vOyGLLpwnmLVj7d/8XRH3xWXlFxyIH7Dnnu6Rf6d3/4vltaNtuzsjI77NWRt93z6EdfT9hRHiWkcEoo1Qvzuj/2wD5t26xbu/7x7n06XX7Dldff0emSax967ImVq9Ycd/QR99xxk1WWi2Q9fjHJpUIMBK/c4qTARFSDKDbDmnUb5v214OCDDuQrJZUgIcBCiWfDYYcdethhhwOHHnro/gccAANWgEcSno0+9Fj3x5585s8F/3C7iQh7OkgMlmXrBzEFzMAdARcTQQYD1q5l0/GfvvPN5+9f3Pn8dDrV66ku4z9777Nxbx19+AEqFA5R6gdEn8VEUVQ0KDF7hCn1SI2vr6657o5rbrjnmhvvBa696d7rb777hlvuvu6Wu667+e7rbr7noS49t2zbYaKq3PvxpI7HVFSUz573Fx+GPQl/qiWZiEoIQsm4AGplTBRUhK2voioQfADRRA8EGuCIX0Sdm7HuVJp1VjEULWGCixtlM6FuFs0y9Fke1CInHtpu6COXDO922eM3nRNMgvJHhiIq+UEuPuWQoV0ue6nLJTecf1xaJISgybEdVAtT4eKTDxpwz7mD7znvguP3T8FNpTUEFHGLP6ERD0XFIzHkSP5+A0OQ8aHqIlbHciJgkSsBF1PVBBcfuTRBhIFEqY3XMaTmL1iM+r9Ll89fvITHKq87s/6Yt/DvJYv+WbZ4ybJlK1ZlKjPq0jHpBWGluWX79Zfffvzp559//uWnn3/58adffvtt4vr1G+AE8sRPAmhBiVneQogu4jpSRNFd5dlPvprQtXufpStW8eHqnttv6Hj4gXvWKR7Yp+ujD9y+Z8MG02fOfvixHh98Nr6crxjYRYol453jnjtuPOOUjjGTGfbKm+deeMWFF19Df/vdDy1csLhV82a9e3RpVKeWZHl3zPqqU0mC96gTzBHCwRT7na1OUkQlHqmJe3CUwqioJE2TJsYZmhjgbkw4dImYIQW+u3dUEfT6G7IowgJgsJaCWTU3KTlFg0B8u00pMmqSNAbuT59BTShKQzJIopRYAFVmygiogotwAyRM12Ui3hQvWsUV3+vCSuDCXDhh0KkkMwJXXJvQ6CynxkQREMF/TswpLCaV1P9ERKPg1xRmAmSUjLkOsuGZCRj9bqBkEHL2E76qCiD0iQx5a8IgMxDoDiIuAy+HCE1xj08FFfGeTNBxYO7OnWg4hJRoirkRwTqJu4q5BPME4n+zRFgRcHGfKHXEYCKm9OStsLEHFQFOjWz2gH32bt60Ce+257Vpef/Rhzx09MGPHnvYYx0P73rikQ+ffOwxLVtUC2F1AAAQAElEQVSkxfaoV+fKC8+79bIL77qq8wWndMzj80xiQRV7hskQRGmpIOLnTAhMtCg/9fjD95x47JEsQNM96l17zqkPXn7+Q5ed+8BlF1x+5smN6tbxs0WkIJ0+cr99bu10zl0XnX7n+afcfcGp91x4+t2dzr76nNOKC/LFCFyK8wsuOvGYey8+975OZ9130VkPdDrroc7nPnTZhZecckLdatXSilepqMz89NvklWs3mAaiETofVOAmRsi4ak9RMwrM8SVUFHK05DRLbgwo6jqMrJSkJK94wi9Tx4z5kKxP7Hhs5wvO7XzheZ07X3DJJRcdftghgnUWRmhUN2Wpgpl//vPUMy98/MU3EuN1V3Qe+dqQB++9rWGDPd4f88llV9/67tiPN27YaDxP+eIy8onVlVlrsxhE2rVtXVRYMGPW3L8WLYm8C2nKjP0adpbHDz76QlXPOfPUMaNe+WLc8C/HDe/7dJca1fzfmEAXS+IgCvGgzUxokdTMok/MPDkIwscrM9hcfifgVgUdROX/NFZRg4oSFHnB8F0q0VKpUFRUrBAI3GTjxs0bN29xa15ZzOv6DZvWrF3Pd6SW7MuioqKCvPQdt95Yp2ZNlPi56bnBwx54tMdff//DtEa14ssvvqCwoPD5F1/7e8lSzJ5+csfO558pmXLDKD5VVJNLRVRU1d3CitEiDzvjV6zXRo3rO+i1ux9+6qLLb3juhVe37ywRZfElL+g5Z5380L23a6ZCY9JIQKrazTdfP/ad118a3KtV8z1NNKYK12za+f5HXz/SteekaTOTCklQ3W+f9qeeckKNaoVsaVGNpvwi16Vbr9vuefSL737hK4CoufqwAphJAJQw5b/aBRUV6i/mvo2piKp4M6PAAg74XIRlcty8ei7JmKhJ0lRiMiYqsMQvSWaKqlQ1FXRcG0RzNDcI0UUhmOe2W0FJIWfHucibKH0CGPCdAS45IjyXzSWd9FV8RAAR9pfbI1+mZCMM4g01U8rlsYl37kRU4bsY0SgiDAiDqOIbHrP/AzByEtAcZ8CU4lVc1nwOgcGnDFXgsjABCLleGQwt5TKDDFQNQnkcVUxxVSnD1+RyaWc7N9B5NkkK3ARJ1TGd8JF2Xg5H9z/EXSZMtHNEZhHZqgkG8CuUACIy/yG+XRB1joiLuA6+XQ8HMQkN6WSMUADkcmoqfKgMqXVbdr0yYtyzQ97q/8Kbz7741rNDhz83dOSgF4dPmjKTjxmKRUma25SKTOqHGUvfGf/HsvXbNaQK0qnCvLzifL42K6xRVFS9uKhGUWH1HIAXF9esVsxdTQ/UrlZcKwHw3Ui1WtWr1a5WvXb16nWqV3OoWaNWjRqZbJww4++hYycuXrcregk9ANLjPiSKysrMV+N/eHPUmNdHjH1l+OiX33hv2BvvDnvr/W8m/F6eiZ4lJXINMk0GA6GEwiBB1Qe6lISUaEokZSGsXLUWp1u3bv994uSGjRpcdVXnO269/o7bbjjxhONSKdWgouLrjg1HkxIb20zLJfXnPysHDRt5z8Pd33nvg527dh175CFDB/bav33LJvWr33vzVS/073HaicdmM5nfJk3v0u2ZJ3oNXL5ms6XyBaOWPf6IA1987ulrLu+0Z6M91qxeNWfuvA3r17dutdftN1/fv3e35o35cYM7SEwkRQuSCpoKKeGW8n3PbjDxooBEwvvT/+s92rJ586LCfOIVyIiqXtr5giHPPv3isz1efLbbkGe79e/VNd+/ASUL1xYRhG+6/qobr728RdM9xfhoJzRNLsJ096og6iSoQYSNriIOKY01ivJqFuenqDFffNatUbM4r7gghTBhi0iMlk3AvEnOpbL3BJEgGmrWqslvgJdf2unA/fc5+KD9Dzn4wEMOPeiQww4++JAEDjroUMZDDt533/Z5+VVvAGRfv16dls2aLVq8ZNv2nb6/8WRCQMlFWZRm7i0hwM2NShAklGN6LNTSPHKXQNwHzLkhRwUtZYJBqWpGpdGAginjrckMIYjwvU9rzJPyPCsLPNFNxDcPJgJ3I0O+ZYoyO4uzuwpDZUADNhEACIrlWUVBdgeQL/4xRpWVCeKlD6oqpC0S/bN3JHQgCdw8HxyJuHsRUW+StCqKCMpc3iPuA5YJ3NV8Jt4cUZUkmLLyinnz/b/Ut2Xb9jdHvLd1Z1m14uLHHrn76W4P93zy4V7dHun6yH1tWrVUTeRVBBBvGI1Ze+yRB57p9eQzvZ7o3/OJ/r2e6N71wf33aQ87sO6UTPCbS0GEuuRAUhnJm/3XPz36DH7i6f6z582vVpDfreuD11/RKS2ZYJnq+frIXTf27v5o+3at+U6hy5NP9x3w4o7yrGhKVYNIgzo1+vfscv9dNx+wT7uYzaxevWpXya6WzZpefXmnIQN7n3vmSZKtoGjCS5Bk02luJKpPUEaVfCFBHchETb0XSXqjF3Fc/tfIwCcJj03lGSHm4PnBAqXUzjdXTTpVL7uI7R7hGLKSdMmtjpqwzpZQYCOccHMEdYrbSEyriM8Rl1zDLIiTDSHXw0xOM6EbZEcsUQMzLnFiTBBJPvcLZlTELbh35ys+2Bc5ktdaPICEm+vcUHQjGAM3Gt+IOM98KmAgoAqaM2N4wIyYqUJlAWEBzlXnSa4THAt3HFMVIRC3JTTjEoGW+JWkqTnBUTPv4TKAYlVdV5kChphJ4tMpfiUuYDlOQAzokGYOUTYqjuEDTgoqVoUKGYBjgF7+s4yA4hIaVqACjlftDyssLMjPyysQObhujTOa1j+tSd2T96zDJ6GT9qx/fJMGzWpWIzq2apOGDe658er7b7iy05knFafT/vEmBKUJF/Yd0jyleDZoWpSng/vco06tAc/0btRgD7V47IF733rBybeef3KnU47Nj9lsSWmLmtUPaNIoDbqr5JC9W1912rE3nHb09acccfXJR5197OFlJbsqyyuqp9P1iooqy8tXrFpzxH7tLjz2kIuOPuDCI/c//6j9Tzh0/80bN5Tv2rV/s6Zt96iTZzZn7vz3x33Gz1DCd6CaNg1JSVRoRl1EhVVUEfZ4lhdnFp2b3ktqlETN33w1umLaf+dPF5RJwdvjPnuiR++Vq9ccdfgh/Z/q+uKz3Yc+22No/x5DB/S89orOQbGotKhh8/aSZwa9du8jPUZ/+Gl5eXnnC8566vH7G9QpuPPGy3t1e7hVy2bz/17cpVvfV958h0e8r4UocTng3WKQbPs2LQ89aL/1Gzc93qPPF+N/XbulZOuuzB/zFvfoM/Drb3+kjOedecq+rZs2rVe9Sf2aDWrXSKdYHHEzpOWD0DwTVeGBZ/Gvv5dMnDFv4vR5k2fOm/rH/CmzgAVT/pg/eeZfs/5aVFJeKSQgUQQl220AZREMc4MBwjqKC7CnzYqLi5o03VOD5hofkD767JtyvhRK5cdUQUUM3/30+6y580kIHaBBg/q1a1Q74ehDevd4dK/mTVXcCbaBWjWqX3NFpwvPP3PCz7/5v8YUadak8S03Xs2DW2HjQLjYSCkhmmRphDiMy78XI78o4ZPPxz/YpeeA51/+YvwP6zZuNkHHgkphQd5ll1w0sN/T9WsWS6bCsv7BjBcABBARkSaN92jbohFltGz2t8mzeg0Ydvv93bp27zt15izfEkiItGze9KknHnlxUN8ejz/UaI86SQHYMsaXmd9P+PWBR7sPeOG1VWs3+SPEFA0E6AFfDcJ0TES8uF5ERBIxQhSQXCjUXoR9KnAFkjkCN8ENFpckzeD45Ry/okR1JZjIRy5BQny0pINpSRQqJi7ql9BUocAV5U88WA9ARCUnnuMaMzGWArIlPCcgjfUkU+hIerWdgUsAzHgrE8RAASToHVycXc8gQgdExsRyosj9iWXq67UCg4Mb85CQBUCTiYnmzJvQ6BBjw4CI8kfMAg7kuOgoWAIghPAfG78K6X8SOSVEgxvyUZFhZJoIMpqgA0BVQiXdZMKmU9+nAlGEXkRUVYSeS2g+2T1g1pPICUCURCzXeYiCgNBU+NPEpyTC0P4H6iidV1nRQMJM2AvgibjSO5ERUQMNeeM+/uKpZwb3f/6VfoNf6Tvo5WcGvtx70Eu9B7zw8++Ts/4bt8clRlEES6UVNvvvNTvLKjufcsjYZ278uN+1H/a7+oN+13zQ79pxz1w7tt91Y565fkzf68b0uW5s32vGPXPNuH7XfoDAM1d/0B/8ug/60bswU+DD/td98Mz16ALj+l03uv8N7/W74Z3+N73Z/+5aNQrmLl61cPmmrBGssQ+UzwDJU6q8ovzFl17v0q1Plx59n3i6/5O9+nfrPeDJns/ecvdjM+b+KciTG0uh3BEiLAQgucSVPIQ9HFIWgqbyJKQ1lYKydPlyPqaVlpXxFfyWzVvuvu26Xk8+0POJBy86/4x0SkNAX7DFCwQWACbR4u8TZ3S+8rbOV9/Ze8CQiVNnmMVLLjxn2JBnDj+wfcpP8FgtP3X68Ye+Orjn013vr1+n1srVa94Y8f4lV9/6j//Urt4kc9xRBz3X54lvPn3vp/GfTvjm45++/+KzD959quuDB+3TLiXR01EVDfXr1hn11qvvjHzj2qsvF4sKS8yoCUjMWswGlaX/LqlerVrdOjXFsuY/FxCmQ8P69dq02LNty8ZtWzRq17Jxm1ZNUuqNRNgfKKrIfXfedNeNl7dsUs/vV8G0RI4BTUXVGEIE4UMpz0IvXQoKBUTd5TDBG4HF0pISxmrVq2ey2RVrN/zx56KVazfCjFGiwLGIWYHAgKoRgfBmENJ7NGx09z139numV79+vfo806tPn6f69O7e++nuPZ/u9nT3J3t2f+Kpbl17dOt6/z131qxRU1VJm6wK8lNNmzRau3ZdSXkF5oIof6JKxdRU8AkmThBmwdgROWD9seFEMUniUYQ1ikYVNKMwFWcJvYJI0rBC8OaK0Tekq+JOhQIKVUMZvohADBQ4ZUpjRu9WuJkMi6oS0kIZNeDJDVEgEVH/U02ZUHNeVlRE1FuIVElxooKLIAJKYCJMRdUzExEVfACSNEpkUFSD+CBuR8FYCBWXFHGacwkJHHA+g6dFDAsXL920ebsk7beJ0z745KuiwvR1l537wK1XPnjblfffesWdN13ZskUT3qdVg4YQlKJ6ftQA79dedcldN1551/WX33XjZXffeOmt117Svm0rjCGVOHRJpkBE2tgbOmP2/KtvuueSq2995c1RS5evqF2rZv8+3e+++ZqiPNXI0gg1zk/FSy88Y+AzPQ7avz1L//yQVx/u+vT6zdsEpkpKs+1aN+v64F0fjhn+03cf/zT+o5/Hf/jlR6MG9n3yjBOPTnNTEJwIMVi28sknH/lg7Kjbb7mhWnExJ5sQVo5ryaOHDx1KuX19ElauLAoexXuh1oBoFEEQUQyIt6gEyiaFE0yRScQ9YXAxFf9DMHChpgwCDXDUDMTMsOkGnVTFdVUxoalo0lwgoRh2iBSPyRQR8QASYUGa4BMcLXgInXY3/AAAEABJREFUK0PCSDr1aXIZqCOQJYcmM0u0xXG/MC6iNMFUFc9pnpEIRBKFa8gCPocIQUGRyxlznPtIRFSFhh1GFUxKrmrQEVV4KIlbE+bcnMZqO0kEJrXyOiCsyRR9lVxTwRAMc2EmlMF7v1DBILrUyVya8hkUCQoLcBw6syQrRoyJD1CRRBU9c4rSQRH3QocyMRgGxVHzDgmPHaKA4lMIS4PSMK+VlQXZTH620iFTnldZnqooD1n/h14btmx9/d0xo8Z+wttqEI4VSWMhUWQEcM6sorJy9dpN/65cv2TluiWrgDWLl63Mzy847dRT1m7cPGf+ovLS0oyE4eM+/3T8j40KUl0vOq3PZeeeuk/bhYv+GTxizD9rNlllViszu8oz733z48cTfisWuf30E7pefE77BvUnzv7r6dfeWb1tJ88UidkK1Zff/+DHqTNbN9rjvs5n9b/z2gOb1C/bvv21N0b++PuMrOaJBk/PjDy5b1kDCu/1inwyEKcqn7iisJJsFBiwqRjJpfMlv1qpFPw4eda1t973cNenFvy9uFWLZvffefOB+7RqWKd4j1pFe9QorFejoGY1fg4UEfOamy1ZtnLA4GHTZ85Oq15zeedePR6tX7s4xMraRenLzj/17Tde3K99m62bt6xduzavgNNEcKUUTgS3KlFjdq+mja694uKG9etOnjLjjvseO+XcK04465LLrrvr1Tfejtl4wdlnnHXqCSn/Vx5Z4awCXBf/piIegySNCSyLtCHDRlx7x6PX3PbIVbc9cuWtD111C/DAVbc8eOUtD9z7aK/lazYYGlxsE3MjXjIlMAlgQpEE61wqXj9VLSos3LdDu9q1aoAjsnnztr4DhvTq/+LM+f/OW7Ti2RdefbrvwDXrErNieXnptq2a169TLU8qrrnknA/eHvZCv+63XnvpNZee3/XB28eOHNa9y32poL37DdpVWpZOpy48/6xjjzg4pTgMpiyPCg8Wo0+CExUJ8FRVwE1UtbS0rCKTMalqqhy/wlfGPZ58tF+vJ1s2bqDZSmrlAmSTHODiTbOW0VhpfM4vLRs1+uMBL7zy5fgJ6zdudmZy1axR1L/Pk2ed1rF188a33Xz1x2PfPvWk4wKbKakVBpcuX/XSq8OnTOezGfsLgpgQGBEmQo6DYCsqG0x46MGPotGcoEKsQh/ofPchCKaqIiStQchVqT4XIN6oBCK7QQ1TagkDswo3sWMIKCrmRIxgw2WgAGBsNfMcEINlElGEjK6RQfBRQRBWcwGQwOXMRMU7S1g5MctxFTPI49BcAosJGImAGBeAHlGJmgMT14kihIsH8aTFETqFJbsbuIETdsIlZCgIQUsAZhIeExjI5IApAG6sG4NnI2aqCZ6wFFW/fFBRVagOlAEUKnarlM2SoKkPdhB1MeqEJByoVhWWsNQsPOrui4lRJ65odAbX0AIViy6DGRNHDAxJUWUGAjeaKAawZgaXi2JVoSpVCOFJYg7/IuotsaziIiq5piqqXKLSvFnTbGVFBshUxExllp+NOLnL+UIiiyzRKQMm3ahkssr3PVAO2XvPfRvntW+Qat8wDbRrkGq3h+69h+xdPwu0byjtG6b2bhj2htggtXfDtHMbKAgqHRqilQe+d4PQrhHEsHcDbdcgtG9gbfewtvVj+ybFNYrySyqyG7aWZLNJYmxuIUXHucrKSspKSyrKS8vL+HxUxoOkrLQ05f/ioh7VEbJKIJigR94Sks0kSqMjG5Ug0Hjr1dTOXWXcvTGKiv4xa+4vv00qysurXY0DPb8gP8+ixKwJx2eM2ciySTZmLZvlUbh67YYZs/78d9mK8rLyFk0aPf/sU28MfbZDq6YlZeVf/zRl0qyF28sq0yltUq/6I3dd+9F7rx1z2EEW48aNm/eoX9fARDXkLfz7n9HjPpr/119tWzU75rD9D9i33V7NG/PbUAgiKoQpIaUi6aAzZ8z86vOv5s6ZSyWi5wDZwDFlvEdGWb9hU35+QVFBvhrP6YwYDwYEhMwqNF0ZCjKpohgKs8IPCJJKYVZDKqi6n+qFBcVF+XhRVRGpqMzuKM1uL7MdZbarLJaUx5IK2VURd5bZ9tII7CzLVCYbMhG3isrM1q07MjFbt3a9pcvX3nLnY8eceN7Id0ZjSoPbD25VPBpJG6SEJqKz5/557vkXH9/xtBNOPO34E08/4cRTO554WkdHzujY8bTjOp56zPGnHH38Kcd0PPXojqdfc9Od/yxdjpaYpTXUrl1z+85d5VmTEMzjwAcDGwQR7mNwELGogFCpyMWnYLVcgyRCEh5LQhNRjiHhhMaGIi1iQRxXI/YIG2BDmcWsJeWNiQIiaAXERSJ1Ttcqz6tTHopFJbkho+WERSvT1Ury6u/Kq18aqkURVcWiYFwsBq3Iq1ZS2HBnQf2yUAxXRDSoL1EquGhQDVzsdJ+CEZW5b9dXVRFRreqRoNo+wbpZtKQJmyFRkiQgETGrknE8SQ1aKj3++59RqVe3TtvWe2Wz8aneA7buKsvTUJhWoCg/FOT53sEFFjDtESSXmxHJz0vlBcsLMT8HKc8C1v/ARI1LqCReqe/if5byoW7pilWZTGb/Dm3fGTH0lusuLkhzCmVZEFcMnjwfvU4/6ajhr71w4H57c/vPmPHHuvUbDXYgj8Aze+Sod8eMHVevVo1D929/wN57tWreoF6taimWUURFlYJKCCLLl/wzcsQ7EydO5otwItHIi6Bxb0eLETlfX6lq8Py3RF9pMmVG7ywKqcn+YE4VyUHAyIbURCIu8SO+98wEMnaxoSIGsGMTGxDhwUVGROF6rwIFM5gVAZdEwxHXZZZArCqMSEBRxd0Jkh4JymD4QwEaOM8mQkpwOsiGPeMFknsAb+7fC2HONCznEJ/971JQMhI0BZOWzJMOT1Cc5kTXFUcESQOxhOITVcLEX1QhaiVOFRoU4crJuTCxQDZ0oyHpJPNOFbEkEUZRGlwRTXa2eHMpEzLAdrIgIkG4Xw2mRjoQuPSRGBWCiIqq0IhKQBQGkoBA8YUWLOUAKRH0c2JOx4x45iJOU1SCpHDuNGIOeCIbFexwiaS8BCIu7XNElNtc6cSvbJY9SNKoEcCGHTtHffT5d79Nk5CGIiLsQBFRtyfY5USbO2fe+edfevjhJxx2+ImHHnbiIYeddOgRJx982HFvvzu60mzW30vX7oovjf5q1Off1ynIu+PMjsc3q793kd115rFHtmo+f+mKJ4eM3JjN3x4KP5k85/3vfs2UVzx4welXHNLu1OZ1Hz7v5GY1q89YvPzZdz5ZX2G7UoWvff7DJ79Or1mt+OqzTjiqdaN96hU/e/f1+zWuv27l2ocfefzflWvZCdzU1EWE8LLGCnrVSQXU/HaArFyIROHdm1F10rRZg4a+ftWNd+578DFnnHfJh598sXnL1iYNG/Difv6ZJ+elsCpkrEKxsVhVCaXEIjxkg8WjDz3wjWGDhz7Xu2WTBr4/DBkrSOuh+7f+/YdPn+35xA1XXVqt0D+kYSs/ncrPC4FSJgHlB+NzCDLN92yI38VLli5YtGTF6jXYefCuWwc806N6UUo4MsWbmZ8VgXDEI+Fuc08WJUZSYZHNdOOWrSvXrFsOrF67bBWwZukqh2Wr1vCJqJIXKTE3IBIC20E1lQohaNKSnHhoIYF998gVJB5xyAEHH7CfsDnEeNSuWLWm/8CXjjj+rIOPOY2vy5etXE1goshK44YNjjni0LxgacsW59kBeze/4/qLhz7X442h/Xo8eveJRx9cu0a1V98Y9ffif5Hu0K7NZRefX71akb8YhPyM5mckL4t/FRLBppGaxECeGiRoSKVUVEM6L53id9a8vDRvDvvs3eqp7o/99tP4h+67o0H92oJuKpiGqEq1maVTtMBKpSBmobnxnbtKSsvKESYMgOwb1q/7zaejLzj3tHReiBJZpgP33/vdEa88+ej9dWrVoOZmhmT7vdu2a9M6qIL7aohvC2HKeSziEnTmXEmoQrOgvkL+UqRuxBdKJCdDMFEkQvZceeZI0rBgXCLeecyOkBKOoInSBANuOQWSkxWFBFtxIKBGIpIgSpMg3lRUfRR0wcCN4jLkiCKOGlmpu3ZrSlbJxcSESTIKzUOGk1SGzuDltJFwO8xJDr+upok9FQtOUHhYAEBQAsCxrii6pLF+IkQoSjC54C3miIkKHYbQcBBvqDAozr3gSdXAlQbZLLEjFgWOiqqIivcYElrwg4EROdZDEfIJM6WZoG0QIqlEiGZQ3JJAMCeoeAnUdcU7M8mFIUiaiLMJX0Fh+cw1URdj+R1H11UM+Qii6AAooGbE436dIH67Q3Y8N7grM+oUBVlBVgK9mOcUYvbcM06aO/2nGb+Pnz35uzlTvp83dfxfU7+ZP3PCTddeluc3FYKGNfQY2ITZyCgslKqwT6LmbSxNLd0km8r8Pz+oElNqODCLAbUETEw0uD9HuIyMhaAEGoYdTXa/oK7G1x58TiBzkklUo8uIeUO5WnHRqDeHLp47adGcSYvnTlw057f5M3+aN+2HWVPGt27eyDg9lfJQdjESViwkg2pU1lfcdTA8OcLpqbJk6bJNm7ehc8pJx2vQT7/4lsMxk81EPnlmstlomSzPDsvGCKAfY0Q4pPzX8DNOPuaOG68a8cqAab98cfNVFxaFcn43X7Fq/UWX3XLJNXf+PmOepQs4YIJljzig3cfvvfJMtwdfeq5nzeJCJTiCCKmPPv/2ga78lPP8oiXLCcsroKKakpCn6QJ60bRoauXq9YOGvDpq9Ae/TZoqqsEXERNkZUqiMYpksxzh7BcSi9EciDdrZn37Dzr82NMPOeq0g486/eBjzzzptM6VlZl0Xl5IpTgrOQRJirNeg2IYYPrR5181bXNAs70Pb9busGZtD2va9tCmbQ5u0uaQJm0Padr2oGZtDjrqhHN/nzrLfZuIyubNWzdv3S4mP//ye7UaNQ4+eP9jjjqscaOG4s0Sy2QliRfcBFElYGFbirAsQSQVQlCyUhcWFRUNIUVweXl5BflAfmFBOr8AqgkriVf/9i6bZUuKCAbolcuEXsUCJPM59kShGb25R6UXCEQrAtdRcPUR20Jz3JIdJ1GYmKmqO8GwU0QSYUsG8abqO8+9fvPb7Msfe+28+4c9+ty7UZEgLR5OIahWZm34J79c/MiwTg+9/PzILzKumLsiraQiO2zM950eGnbxw6+M+uw3ElNFn80aNNAsnYw4UqImvNx9kRhADl9CziLqsYhPyVaFBgUNUX6sQSQxYELbfT+IKcyEIAKnpLzik8+/IeCDDtjnqW4PtW3TksXt0+/5DJueR25KJFAIy2SIWowwMOQ7EAuAKh3+KZob84mwC30qVCGZuwiOwNmp2FKJ9evWPOygfTqdc+rQ53qN//SdM44/LMQKbhw1nsyKpvi5QjVMM5X7tW3x0XtvnX/WqXfcfO3++3SA6+Y1/Lt09dP9h3Tr9fzMeQvMo/VYo3BGcBYAABAASURBVAigmpKQZ6mUpIKE9Muvjfr0q2+nzPijrLzcC8YlNFPCMi5Ri1xCColfRtiaNJCqKYWThBTIEHJ0dU8OIkYipMSwIu8IbKwJEqwfTFFQRhMVTk11K17MRB6iibekD4SyW0k8QhPOOtjEENksjkESLEliByyxjk9VFW4z1BQrWIKHbDRGZxMdVpgJMxFMJA4MoniDCkrk9D7HApEib6qE6mEZnV84QIL9QU8muHNrTBwQwBVbJaLoLAjG4kRLQsNgTt1VzFE6ozAo4QYLTmNI5nRuQnJLFl1McvGb0DAt6OY0/ofk7FS58zxclCsHVVwGjTADgWAEG0YkJBVUnSf4ZPSokYCEROIfCjzK70uThAEzeq1Y/WSOZyNKw58KTBXJRk5p5uJESqHOdx2RBnvUP7njcZt37nr53XETJk+viLECQcONG02JVFc7vmnDk/ZscGKThickAJKDE/ZseGjDPYpCmL9izUsffvPiuM/r1Kx+3anHHduuZUGQVCo0rVF4w+nH7dd8zyUbNt436OUxk+a+9uk3hHTLGSeetX/bQqssCHZQ0/qPXXpuk1o1J81f/OIn37/61c9jvp8Y8vI6nXDMKQfvn45RY7ZxUd4jV3Xet/meS5etvOGmO1et22IaRCKZEamw8TwZpsnM91KSgyNKOcQiw6tvjOjavc+YDz5dvWZt7Vo1927X5vqrLhn/+ZhO556mVokCQoIKmPDY9g2vjotYZr/2LZYtmDzhq7FnnHJsWdmubTt2bdlZtmVXxWagpHLbznLu8auvunivVi03b9uxaeuOaoVFz/Z58qF7b2/ZvEkq8EWdScyGWHnpRWdN++3bz8cOf7Ffj2ef6vLWS8/OmTqhT4+HC1KZIPhXb2KNGtS/4JxTzzvrlOrFRbkYlMyU1VSiSXALQYJKynsFgSH/NbIl52S1XSeEoPBZfBP2VTZKZBPwkSAbDIQSQ4eYadW80XVXdm7SuCHlTIxVlSPB6TDipnlKHHrw/scdc7hKTCLguUEMMViFZjnrMprSKTPnfDH+h8pMho9Jl1x8fpt2bcb/OPGuh7qfdPrFx518/mXX3PnGOx8uX7WBNROJbF3BJTmK4Ua8z9x0/aVvvfrCoAF9h78xbPxXn3z80fuXXdKpvKL8n6XLlyxf/c+Kdf+s3PTP6i3/rt6ydNXGO2675dEH7nzk3tvvveOWDm1auTU3wj2FPQVNhVTDPep1OveMbz8ffegh+/06cdorI94f+sa7L7z29l8LF9WqVtDloTvfHPbckYcfmJdOFxcWnHHqie3atFBhmwXypYA8GNwsNTBR/wt07Cw1OEHEZ/hzluxuHGhO1t1zTxScchuDgwk0D5BK5MTMNHrd4eAvJ2NZ0SgJJemTCknizQVYR3MVwYhIhC6CcNUI5pbdqTtyFlcin9C9wwp+ITtCSOK6SBtzcMcQC1wJcDYga3DhiGALVmSaAJ1w+ZyoHfUSCRrkkIQormLeibEXMeLRiSYUmBAEcQZIIExAmIL4FFU3m6SKc6fC9HiEQLAjwo4PnoTQIoIiKknzpRI46CUUg+pKYi5Bl1BR16omProWo+BG6FRyEwURb1olwBwgCjwgI0wUPpdbNuQh4c4gAtAlCdtxaKqKriLDRBhExC0LdFDqo6BqysSYeTGY5byL8HVN4z1q771XkzYtGu/VvFHLZnu2aNawWZMG1WsUq6qICrsNncSlOiL/NdWwYnPlC2Om3vvsp/1H/b52p5imhTc6GIEYGFTUm7hjlaRhic1Az/2LguWI9DlMBDmW3GcIkasmK80cEEkFbVC3dqP6tRrVq9m4bq0969ds1rDuXnvuUaeYR0MWWTW2EaLsbwACVqIYZj0kqWpQcMJOsllz/ly/YSPx3n/vHccedeTEydN+nTQ9GzUbectzUxGDFiVGYqnSDiEV9JgjD33rlYEvPPvkpReeVqc4pZlSMX9/ToW0CU9QfHIOpDTkhTQfGqRujaL77rzuzNOPoxgaUqJBVDU56tdv2vLRp1+/Mfz9N0eOfmvU6BFvjx7+zpjhb48b/u6Hw9/54C36d8ftKivDLBqkpMY5ocRj3MC8aRFptrJ6zWrlFRUlZaUE7i4sW69OjZNPOPbIIw7r0GHv9h3aA+32brvPPu3OOfOUE447GtepdF4ev92piIom8dSqWa3TBWdfeP7ZZ511xplnnXH6mWccdtSRO8sqGzVpeuZZZ0J0OPuME0/qWK9+HTNyZE+E1Wsp4SbCG/Lia6Kh79NPjP987KWdLggqgZZicAdKk6ShiWrM7r1Xsxee6/n2my/y+fntN4eNGvHqOyPfeOedN9999y3gvXfefP/tN0a/8/q4t18f+/arfXt0ad60CTb8+FfNZLJ56bzg/x5PxT2p0JJONCahUSrcQAVgUHBRUU22qKgA7G7CFlpuCI4ZVEYEXNtjFezlKM4ySFGDYMmJahDV2rTeq3nTRoU1qm2qsHWlsTKd37Rp46Z7NirIS0u28vCD9mvTsrnkF6zfVbGxjJ8Yq7Vouic/hxbm52nMHrRvu1Ytmof84s3lcXNpprBa9VbNmrTYs1F+in2SMhyoqrDi7tQPe1B3qv5UTzlRfMr55cGIx+Y40YmoeMOGiKqosGCiykjNDDvMzbeRsM9hhvR3P01ctGQZn3BPPfHoc0/veOKxh+en0+M++nzm3L8tla8ayN+QjtxBIhgSTHCBqiZTJQAhTGOjCtLuxShwYLG4lRyYYkP42A9fYmXHIw98742B7705+IYrz69fs5DvLJRdLSgplxEoltVtimQ1ljdrWHv4q4OuvbKTWKUbYslhROO2JazPv/r+9ZFj3xg17s23x70BjBr7xttj33wH+IDXiNdGjZ234G9MSkhKJ2aCEmBErDjVKLgjp6RXpIKauJALQHRQZCwqUm7AB5Ug4nbVWYgSukrSPAtHDBLGTRiB3YN4paJRPhVW0pgjHRgZlEsgiwgosQlNJRHGiSM4JkrIYs6AlQuEeAKkxI5ajuxSCYaSP2dVsKDKgKR4A1VvosIg9G4HIypMMCiQlTNIaPhVn2MdiVzgnqWKACK53iyZJJ3LqMuKicAOuYmjoi7hSYkIKMDgPdNEDBVGQU5FRRJbwkxoQaCAO4jjQlNHVESVTtj0/wEENVUVFRqjZ5TgTvkPyfG8xzeDuE9B3IEyO+qDiPjeyQlh2KcQ1Jt4w6ImIlA9EGiKItsBTBTcR69U9CNTpKiw8LxzzmnSpMkfC/5+a8xHuyoqoyRyOR8idfL07uMPfvHSM4dcftbzwBVnP3/l2S9ccdaLV5w99Iqzu190xh7Vildt3Pz++B/KRfZtvVe9evVnr9o4Zc22yWu2zli5cVdW2u7Vkp94Zi1d+fy7Yzfu3NW6WdNGDfeYvWLdjLVbp691mZjOO+7wQyuy2c9+nzr8i+82l5Xv2XCPtm1azVmycsqStZP+WTd58eotu0r3adu6uKBg4tSZD3d9es2mrZEz1ozkjObLTHLGAeM0UKHlKhRUvBoHHrDfueeeecXlne65/cZnnuoyesTQ14f069C6iUQCN6VaXp6q9eXlFiURUVVeYPJEaxblrVy5olf/QU/0GfhEb/rBT/Yd/OQzg5N+UPe+A5/sPeCJXgMe7z2wa8+BfQcMmTH7z7//WVpaztEhfoSKlpdXfvHVt2+NeIea33Tdpffdcc1Vnc9u2aS+ZMrUqDrOzMxfGOrXr3fKySeedsoJ1asVC5tfqlrknvaN6+k03GOPNnu1aNeq5d6tW+7dZq92rR3attoLSqvmzQry8r0OiZ7SSEvNEuOUjMPEH1/UTjDlFpMrK5nyC887lU8dHdq2UhXfhPSM/+tdu2bN6rfefE31Yg5qUQ0BUaUFkaDMQt6WXeVjP/ly8b9LefU4/NADL+p0Ib9x3XLng2+9PWbyjNkzZv/12dff3fPQE/c+0n3pqvXiBVbxFiUSCC7IM7Zu0TRWlI8a+faQF4c99li3G26867ob7rzupruvB2659zrg5nuvveX+BO797Ovvf/xl8q+Tpk2fMWvV6jUehmpeOjTYo26bvZofdfjB113VedAz3Yc933ufds1jJvvGG28/8GC3hx596rGuPadOmUEV8kL2/DNPHP7qwFtvuPLYIw8958yT8vODh+UXIYlwhqiQpJdFjCOUTtBUkdygoqrgCk8TBr0ThKaqsFETRs43UgSQgieiquLLIQyqLA6j+cSpKkkgUtX+/7giqoCJ0AtGVBNcTNy6z9gKTBQmECADlpsmsgaZqYuDqqr4plORkGOIqAqWuRgDM08goUESgQgQJCQQhaCuqwIG+CMgqRp8J+FEaAlbhae9uLS4ZHLlXAktCU9Ek9BQ802cWAIXFW9gjnCp51ql61QuFxBV4W/3LDgtZ9cSBXUCl/tA1JI5ExQonM/AsOAFrSJANERRSsDgWoIJmENyOwvNyerZuSvDasJ1fUckiZaIIIiqs8WQgg5RoAZOORI2c0MgAtcEyeRCDhmAmZoqmBqfJjIWM2oZ4xiL7DIJ3IiJKxEXkd0tcQgDGV5rdPr8NW9/M+PXBStGfjX9h8lLLVUQOZgiznPuXY0JCgrBlZzC5Y6hSo5kUARHzJwoAi4iXgFJ1JHLIYlEzPLyyvuW8FWNZZR3L/FXHgIVQTJnLSFJQksIjvlrCvaIL1rkR5G4ZduOSdP+2Lx1a+vmzY4+bH++rwqqHD0lFTGa8oWjm4s4RQvAvFskeKypZEO2UjPlIZtld8PTHDOkVDxaFMwpmEypcs6xGjG5F+EjblzqnazbsGHQi6/c/1iP+x/pdv/D3R54+MkHQB7p5v1j3aH3G/giP7gLBhwocWLbSxrFZ1nLVDZt0mjnzl1btmwz1tVFY4tmjW6+/vK7b7vu+f5PDRnw1JBnu7/4bI+h3ne74eqLUUyl8miSREumrFHDerWeR6B/9yH9uw3p3/2F/j3uu+sW8j3x+KOf79djSL/uL/TrNqRftx5d7m7bsql4ZTSqLlm2ku8jOx57zLJlK959fxybpyA/FPoHBVG2kqaUEQfCLs+q7zHqAGSL8kPbFk32bdem0R57rFq5+tffJn/66Vdjxnz8/ugPxoz96LPPv5k8edrWzVtatGjWulXLJo0a5OelJaQklc5a2LJ1R+1aNflIkEr+uYLhQslEhHBFBJxZDjehWdJTP1NzZnAR6ggOB4T7gIyipkzyLORHycuGvIylspLKaMoRCxkLUdJR0whoKmUoY1o46eMZp3Z8+cVnhw0dMOylAS8NfRb85Rf633DVxTz2JFN26UVnvvJCn9eGPPMK8EKfV5/v/drzvW6+9uLa1YtCtuL26y9h+uqQPsArL/R+5flerwzueeHZJ+XnBcNHkkVIcWunKy2dMfpUpYRKjydVERMkhgwgqazHlhZqrsFDUxUQI2+qbyJ+U/kgVAfwvS2siLHh2Um6ct3md0Z/umPHzsYN6198wdnFab3xmkv69YchAAAQAElEQVQb1Ku1cfOWN0a8u30XXyiYxMg54BXDiNvAHrNkkuvMfLWdlZszU7BUSEIShKsEMpUZbkTJZvM0W5ym1uUhZoKYujhOBNOIgxnRxUTLjVuQTLV8KUhByWiMwr2ajTEbYeJo5Nuj73+0+32PPnX/o08/8OjT9z/29H2PPUV//2M97+/S68EuT61Zv0kEq9hGA3DT2PKQmbFFHONSLxxBAKDiiYuyjRMWJogVmgTxiNUch2pGBsjjYTdFsGmQRARqgjBiVmiayLsJJtBgV02YC3Eh6pjCwwhHfI7tuAoHjBIPdkVyHWLiFO/Ac+ATkcQVJsGQcD2D7QQf/qduoIYE3NxgqJI4wbhXEdHo4SAiSSMiUsSgQGZgidAFwZAIdfLRxHse4DkbKuJzCSCwqoBkASb0srshIbstOz0x4JvZiZKLwgyC5SSTHrKPiTw4vrDqSJIvq4QyFNLCAgAOCFRUPFNQyTUnuK3EhlpOBYK7S3RgYBUxQV2oBqOYKjJ4NKeAqigziJo0YcKlEH3IXcyYA6vXrhv4wotrNmzEG08kenP54GKmEi0Vs4WV5dUry2pUlNaoKKkFlJfUriitWVFSu7K0OJsxnnLGc10yInNWrB7w6fhen3zf89Mfen06oc8nPwz46Juf584vy/g/D6iIntM/a9e//NWEZ774ofdnPyLT69Pvn/nwq5/n/Il6RYzlZlmRddt3Pj/6k6ff+ejp9z57evQXPcd80XfMF99Nn11emSG5L8d/P+6DTyWwpErjBpMImWyUS8R79QUPokGEMy2IynVXX/LCwF4D+z39dLdHbrrm4v3bNdcsR01GRVRFhRbI2EG41yNzqCqskaPQNmzYOGLk6Dfeeu+N4e+96fD+8OHvjxjx3ogR77814r23Rr43/O3RI94ZO+rdse++/8F7Yz76/KvxGzZtluDeTXVHafmbb3/wRM8BH3z2taTSblQ1KOGlRVOmqajpbMgzTS9YvOzxp57p0r3Plu07OTVEkuhEGTRpqaB33HrtsOf7vvz8My+/0PeVF/q+OuSZ117MQf/ePR5t2qiu2u7IGR1YWCEbL5cYpnwPSUIUU+aqFLQo2A1XXoTNxx648+jDDm5Qt05+XioXAPYkaVde0em4Yw4Ty6CUEMQSW0If0jHkT5k57/Mvv81mIr/LdXuiy+LF/7zy+vANm7eKBlykUFPJxPjl+B8GPP9SlqeJEBS3igkIxkQ1gY0bNs6eM3fGH3OmTv9jypRZk6fOmjxl5uSpwB+Tp82cPP2PqdNnTZkxa8p0pjMmTps2cfLUXydNWbl6nZKKanFh/q03XP76i/1eHtTzuZ5dLr3wjLp8xWaViheeRcIYRJQ3FAgqnDWVbZo36t3twX49H9u/QxvlzFcxpCRpRnogzAHxrewzTiJxBpKcTQaeUAQsATrH/TLX8bmYUQdJThK3hXvcJPV1tgmnF4bQcW6VZagiAsGcq1DFG6PrinMEQwKH0YFAEnHcCYiTxEMVF6ODaAmKiplGU5ogkVAtZ1n+axDQIGhFRALHLQ5EKCEcNth/golNgs+NTqaSgpBoFPTFLYugDYgTMOI+XcREpaolYmZQzDkKx5IIQZiYidsQd4Moo/swmAAEcwaop+/Mqot4E8zMZTQRQjSheWfJxJwraBtTJQhATRFPaKRLuUBRR8AdKzSEfQYxyv9psJjRa06DMoBUCRuHLFx0xKCSEroGxcTliB5BFBWSC0UXArecuJOYRdhmkXc5CIZJi5blLI1MYVFgSfSMuWhS8xwmNFVRBistz+wqr8yKZkV27OIrKBhO50LYkuY4ARnesSUuwYkNRcRt7O6R/Q/N0UWqBFD1zYYBjAJmMcZsJNwsEVNWI3HWBpaY62IcajRuUKqhXpVozKKwMGoaogomRGfMXfDthF+y2Xj1FZ2KUnL0YfsduH/7mbPmffLlt8bxGtHCAKpGLNyBGAcDV1HV3QQcqEpIW8gLmqcaKJ7HbKhrxJW/G+EzmKAn3sw74k3mmp+f36JZk9Ytm7ds3rR50z2bNtmz6Z6NmzVp3Kzpns2bNmnRrGmLpk1SqRTR4yfRivTCASTQqE1WYnbf9u1LSkpWrV5bmckK9lMhPz/9/fcT7r2/SzaTaVq/VrM9HJruUbtpw7o1igtFJAR+cktzvEY+vpKoWFqkUe1qDWtXa1S7OkijOtVqVi8SPxkL6tcq3qNmQaPahQ1qFdWvWVSQVvLH0a6Sipmz/uSZ3qdntxbNm3z82VfzFiyUEFKpEAKjVjVCoh4sjbBGSXm8i5Uxvv3+R2ecd8XNdz3c7al+zz43ZPDzwwY///KgwS8903/wY0/0vOK62y+69Jp/lq6UFOZSonk88MorZcXKlc2a7ckDQzSoqqgILtSNirGtlVkwyCrKstORsbALmIOpR+GKRvOFjrQK06GvvnvmRdeecf7Vp59/1RnnXXXG+Vedft5Vp5131annXnnyOVeeeu5Vp5x39ZkXXHfOBVet3bAZU0HUDzaRWjWqnXTckad2POrk44445bjDTz7msBOPPrhN84ZpiQjUrlF4/JEHnXb8Ead2POzU4w875bhDTzrmkNbNGvPDXBDZc4+6xx154MnHHHTSMQefdOwhsDoedXCThnWDklSymqZLV6y67uY7Tz2700lndj7xjE4nnXHRiadf1PH0C044/cKODp06ntG54+mdTjrrku69Bm7yZ6eK6ys2SF6FOFVojPTUSZmykbh3o5hFCyUV9u7Yz3765XeTePst17Zs0pg6Hrhf+2uuvIT1/XbCbz/8PNkklZSOG4gKuiH1uoMkTogXYKFFoyAIBBiCK5HACrqgeUu0stmMGVj0WNR53kHxiCQ6YgLuGDGqYRyCadbAAea4cRsG3+1GLPAb434d9u7Qrk27Nq34UrnNXi3a7tWSvs1eLUGgFFcrcmd+oedGuBwz881C7HglrqQ3GIo/C8ibJjSc+MSMLHPBQVFVEkUaAFEk/AI1LjxAwBh2E7KIKibBMS40sKqeExIMX8ZAYuISsAFRUT7bOwGechFETgw8kXX3jjOBgZVkkvg39fz+m3v4GBTEnBZzMuZWqb462e8dD5pVMG8K16g5auY6dIBjQjK7LTFXUWXIUVwTMUCcGOgtx0bEzSeeHXfTiMHMkcUJAhsiA+a0CnMaxpSMfEiYVoUhAghuvAigCkPQ0CoDEZbSxDUEgf/jDRkVJUZFQwT74poIMQJRfAFAPCu3D4oJE5cPPsldhhZlZKLOkYQvimXRkAziEqoJl7QcATfsw5GKysrlq1Zt274dmih/CVQ5yMWtzLhJQ8ymLGr0gy9YTIPEmKms3FVWThDYol+2cdOC9RsXbNi4YP2mhRs2Ldq4adGGjSs3b6n0j1qCa2Q2bt++ZMPGRRs2/Q2s37Ro/cbF6zf+u26d39BY8Whlw7bt81etWbhm3aJ1G/6Bu2HT0o2b123blo2ZNJXLVC79d6lKEA2UJ6j/sYQquCBpRlhKC/54SKmmVLROzZq7du08/6LLbrv93gXzF6hF4TZDX2ghSTVSHyJkMXBEtRNAzCCKSqtWLd5846X333ljzPtvfjBm+EdjR3w4ZuS490eOfn/EmPdHjXl/5Jj3Ro4dPWLs+8OfH9w/xYmMYdSCiIcRooSMCTBp2oxvJvw+/pcp3/w8dfyv077/bdoPE2f9OHnuj1Pm/jR17q/T/pw4Y86qdRt2lVVaNCEIdUOCKRFhW2jQEPZpu9dxR+x7zGH7HHtoh2MP2/e4w/c77rD9jj9iv+MO3+fwA9pUz0+7f0WhavMYdzM3rWEQk5FyMUBwthO9WiKkbvkajzm0wyN3X//eWy9MGP/xm68NRVK8eZFa79W8++MPF6SUtJyGhgbVlGBRg4S80koZ+tLra9dtwPL111156KEHfPftDxs3bFENPNGfe7bXu6Ne73jMkegQytff/rRoyVIRSSKl/NEUFIReVINiNkqMxiOKkYDRMmoi3pgyqAgALWGJuJKGEHjt2Ldd845H7ndA+xa1q+WFWKFmKl49FEJKNC2B1xH3xkYS0lSJNYrzDtyvbV7KjflB7/FgGyYUZEAANU0KkCukk+HGnJyCQnE+GODySodX6ITgRWOSnPZQxHFRRcYtMMRES5LmOG4UFvk6GB1C4pewrgkXWTMmuVH+ZwCi03ZTcoycKqHkjAi+fcMgyLJhXow7XU0VQYAZC0EIOWOIWWLHWZ4YBFB69Oh3B5LQLLHiunAY6EX585ELJ1hwawnPETfCUhlx4B+yiss7SaqaKYI5jrOM6LDyfwFNOH6XY0a4kzDiykGcA6YGBUUR7Iircm8JE6GpNzfqQsLEJEB2cExzJNdO9oFFhRUESyYsmN8PEBSC6xoLLjkErosp/iCIIQWg4tmaz5MoOJqwlQQQkAePohJV6dGJKtgUMHH/qiIpC3xbk1dueWWWXx7zK7IFFdm8ypiuyKZcV9D0HFQkihiD/D+N5W/XvG6HZntUC9KgKH3mce00Vkhi/f/KqfsUCQqRK5mGhOYdl7kfmP8DTSjqNXCieSeqyWB8RZeukLwKza+QogopLNf8csuvjH7/YTyKeRHohSXPokOpKZXTyYK6RT6g8aomq9dveebZIcuWr2rcqP5N11/OD2XtW7c4+fijUqnQu+9zmSg5l0mJhQ0aExM+ZaIhyw8LQPIjQ8bSGcmPWpgNee4SRyb4iBpiKj+bystqflYLsqEgq/l8VEiqQT7BkBTbq0XzUW8NnTPluzlTv5s79fu5077LwZwp386d8u3sieO/+2J0vdq1RAQdciQaUWyzpibMoVq2dcum/LT114K/N23dKcppzjtxatv2XctXrt6xs4RaEDl1MPeYEm/Ku+9Zp59y7ukn86iDECRgCaPqCx4VNzxjoz/kBGWRqHyoVlPCThuPdXREF/274vMvvzvh2KPatmzc9bH7/lqwcPS4T8vLKkTUfWERzFG3kcyERvT0EvK+/3Fir/5D/ly4+JAD9n2uzxMfvf/G91+M/vGr0V9/NOrNl5676ZrL+C1rwi8Tb7r93tLyLBGgpZpeu3HTP8uWtWvXplaNYuWoF/JjwWAmwJKL10o4k8SbqgogdKoqIlzBe5SiedomUcgu/f6HX/z0+7SJU2ZOnzZrxtTZ06fNmT49gRlzp8+cN3XG3KnT50ya+sevv00pKyvHlEM0/FOndRu2rlq9cc3azWvXbV69dtOGjVvLyrN4MgvlUdZu2rJy3cY167asW7d17bqt6zduKy3n4U4UWlIZl65av3jF+qUrNyxduXHZyg2r128tLWej5j7ZZMVi6a6yBfPmz/1j3l9z/lowd8GCuX8v/PPvv+c5LJz391/zFsybPX/27PkTp83+dsKvy1euofhedc5AgqM8ZkQi3rOgMEFFVUVFRE3TZZY3bPj7/QYO3VVScuShB9x39y2URUMqHUKXR+5t3GCPVavXjf3oy9XrN1Mv9CMnpLgRZ/z6vgAAEABJREFUyTU1N4VB4ZUlVZ4qKE8VV6RrVKSKK5UP9imkeMSKCwVRVZwyYWSWSlUGfqnLr9S8SinISH4C6azmZQRKulL4KS+dUfq8jHIfcaMVZDQ/Y3nchoYtVSXc3ENZZNBzvX//8dPff/pkys+fTP3ls+m/fDH9V+BL73/7Ysak7085/riq0KlMFBFV05wZzlvuLRFIwrpSMPa7mggBq3cmIRn8FNCkietCi6IxCqIKgmGxIB4SZhQEopgGUREWVCWCREooNF8mPDMz5ys3L6PjCHlwyERGEcWaCYIKhxEAw60lczrAzTIIHJRcAzWc49RExVASLKm6UK4S5vUTjIBgTQWeCoYcU0keMqqKhLk9QxILIi4n3tDDLgKGSwioepTmNkQ8Ixj4QoIDBC4FlISrQkOdXpQqJPoqTnEWrtRgmGDAnOKOzbAuqpj3UicFxLpoTBgmyp+wSRWzXCY+T8TcmroxiTCczgBRvOGA44Me8wSCGnEi7UspAkUpRcJmJsneCG4nQCNCoSWYiv8xUzISJoJB8Tqq0KOpqtAi5iWAoBxjtKzfnv6SKXL0UYdP+P7Tn7779IdvPzvlxI6SyHtK5tVLplFUCEgVA6DsMiKUEATK1vKy0mw89ujDv/lszLyZv/w167f5syfOn/X7X7N/m/fHr3Nn/jpn5k9zpk2YNfm72RO/+2Pid7MmfffHpO+nAxO/nTbxmym/fjXp5y9/m/D5b999+Mv4D38a/9F9d91aXFR08H77zJzy86ypP/0xdcLsqRNmTflx1tQfZk7+YfrEH6ZPmjDxl++e6vaYUXcKTEoERihVvVFv9X2mRogiGoKqP7ip2PYdJdP/+OvPBf9u21Em7Bbk6MXMF1S9iap4MSkRh1IK1aAiEryuVrtOrdNOOfG0k0845aQTTjzu2I7HHn38MUd1PPaYk44/9sTjjz2p47GnnHDcKSd0BI478gi0LGnB0FYallQhy7QZsy+85LrzOl9/Xudrz7no6jM7XXXm+Zedfu6lp5972WnnXn7quZc92aNveUUGUVIMgpJqSIkEwQRZhZSmUk414x5mU3AAqGbZIiHyzTZAriaKAeKmQMaaJ7E4xaJTxDj52Rf+plJpmhFeLdLiW43FtZDN1ijQxnWr7dW04aeffm4mOWsp3luefrxebV7HTClsSJkAIbGoqEu64O0xH//w02+ZbGy1V/MH7r4tVlT89ddfZlFDvOH6q+6+7fqLzj3lzluva9xwD5GwY+eueXPnuXGLnoXhXQlaLCPGEcEbDvFGU8lLabXCgmpFhdUKC6sX/q9nWlhY6K5ld/NlxUgCRBa5QlRO3FQk4HSepVNZyWowaGIkBytYSEVIktSbHtCARY10HpEqBh2nGOZ3MiM3JWzsQ4cbVBx3LsKg2Ibjppiw1eCruK5T/Z4lR1C3xOAE9BzTFJYSUZUADRARDyiIqgUMeeSuqDRY4rigIuK9ErIhycQUgvmlAtU7v4hDfVTnOINLkBXm2FZB1suPnHApLeaIngtJMKE4CWJCS3Rd0hCFGQRLpqIqNCMYgytcZsRvJhIFRGjmqfnE2MWGqJC2qC+Iilii47VijzCBAFSpwkZEREU5NSGaMrHEBoiIc1RjiJK0YMkA1UfkkyFJI5pPUXeSizHHEfmKqEu4CdiQcz1xJSAWLKILlaUBKIzQsKHJBjNUADdCkM4xRV4wq6rBk3UtFRUaJAVRjlpBxZBUhEyqclCa5ByLcJe4G1HR8NOvU08+o9NhR596yFGnHnz0aQcdc+ZBR5958FGnvjXq/Uw2i1jOlLoyMw0KyoQgBUsHtq7z1M2nPtD5qJF9rm5ZP62x0vkuYr43zdgXyAkDOEOCKJYApibIJxwBI3GDiIwYdDcjNIxAhQkupWVlXbv1PsfPwWvOvujKMy644rRz/AS89d7HV2/gd3DP3g3ggyJQ4gShYxUxZNTZY4+i6RtuvvvX36fUrVXz8YfurF2cl5Is366cf9bJbVu1WLZizftjPorRPapy2HP2AT7nZMxadldpxcdfTujac+ATvQY92WtQ974vJPB8976DB7/0BnLE+d7Yj57u98LT/V7s9ezQXs+91Ou5oT2ffbHns0O/+P5nSxdI4EQO0cTTNMtWlJeX7ijbtaOsZEfpru2lu7YB5aXby8t2VJbvzFSUkRRZ0LOM6jrUJIIzuImgNasVnXHqSdNnzF62al1MpUQDdBNf7koySRdYutDyiiyvWPIKYzrf0nlR9bbbbxo7blSN6sXCXtHU2k3blq/ZvHzNpuVrNi5bs5F+1dpNUWTLjh1LVqxZumrD0lUb/3VYv3T1xtKMrtywtd/Alzdt2tz5grOo4QVnnXzQ/vt+/sU3U6bNpHZ8Xo2RFAlEmRodIEJUajj3CizHwbZt+7RvM/b9t669shM/6Rx+QJtD9m195EHtLzjrxN5PPfbW6y8VFxetXLN2ybLlpqZBJZX+9POv6tatc8iBHYryWZ6oWWIUr4apewiSNMVR4k2IQGgcFkJBghibQwxT3FwYQE4VxaxoeSaTp3LK4R1uPf/o28478vbzjrj9vMOBO849HLjz3CPuOu/Iu84/+o7OJ9XMC//5wd6nn3/X4YCjOxx47N4HHNNu/+PaHdSx7cEnPPhk3w3bdkg6/7kX3tz7wBP2O+TE/Q854YBDTtj30BPbH3ry0/2HbttVHtOFj3YfsM9hp+9/+On7Hnba/oeftt+RZ+x75OkvvvleOT9RsuRsD7MaxfnXXnDiQ1ef/uCVpzxwxUkPXHnSg1ec9NDlJz54WccHLu34wCUd77/sxJs6nZQnYmTr2ZCwp+kEMSXN3ObnNoCswtEoStJslbTmFb447I1uT/Uvr6g8cN8Orw4ZkMqUCxsfgRiL87RvzyeKiwrHf/fTT79P92UVpY4oV92W4k6CIA0m19xwx9kXXnPORdecfeFVZ11w9YWXXv/tDz/B8NcjVyMYZg6EmgppC3kffTHh/sf7PNClz4NP9H7giT4PPdnn4Sf6PvTkMw93f+bR7v0e7dH/saf6P+Z9v0e6P/PIk30f7tr7gS49H3m857c//mZYwDXRiJpblYry0vJdOytKd5YBJTvLynaWlezy22rn9pIdW0t2bqusJDt0AEPJ/jutTPxoxYypmKioOi6iQNVBJZRRTFWcJcafePbOpRqqMODCRJ+zFjGh1phRUEXMcghEQ1MFMkjVyJ6Ej0H8Q5KcHvOgmNRk67IlBB5KPnCBwRVvoLhQUU1mPnChKlUk4mXm1pN7RmiaI7gqWmpKL7k+wBZnGLRANPCMUVEJKiqQjMFUqSHT/xBwEbhKE4Wr/m99RYVbODIITUVVk1G8GsrUqL8p+YJg2Jyr3sPDmrNE4FfpmRFIggsIV8IUBAQb+KJXn7JO5r4TXJ3KUmiyGwXzsEnHdZCSAN+caupTYhNf9BzbEpK4OwiSIH4viTd1YyBGNTCCIwhYVqyJJFwSU/GjDxJQKqFEUyWaLtN0RUiXcyznFRYXF+elU3Xr1D7uiIOOPWyfjkcddNzRh0NBHnUqKOQMBB5r5CDm0agop2q0wFM/ZPIKVm3byWeCgw7c7/ADO7Rv0bhtswZtmtRr06x+26Z7tGvasF3zhu2bN2nfssm+rZvs07rJvq2a7tfG4cC2zQ5q2+Kgdi0P6bDXYR32OnzfvY7Yr+0RB7Y75tB992mzV0E6VaNG8X4dWnVo1XjfVo332avxPq0a7btX431b7blf6z2TvnGt4rRaRo1IPW0TFeGQIflAJaLQkm3sn7JcQIXo1fxekagiIUhIkRFyJhzQCHNjiQk9XdynfdtrLrug83ln1K9di7kJ+qk/5/990KHHtGp/cKu2B7Vqf8he7Q9t3f7QVu0Pbt3uoNZtD2zT7uAc0mrvgzqecnZFJvJIZImMDwvuOEoQFQoqtWvV3KfD3vt0aAd0aN9233ZtO+wNtOnQrs0+7Vp3aNeqaZM9QwiIumtyYpU9AAbCFtMgAh+JFGQJKvyRjPlMSVRyjTmcJCXzVkW1mI2Z6JDdtqvsm1+m8vIw9PV3lq7eYCk+bqm4kqDMx5FPv/7u518nC83LpBecd9ZJJxzLozDZqgGfcBxQCkHS+YuWrnyqZ18eldWLq91/1+31a9XAcWlpRWSIdvDBB0k2G7LZZns2rO1f7EaLcdeuUlEyco8iyf6y6EkTp38gFBrat9xw1YI5v/896xdgwayfF876ef4fP82f+eNfM3+aO+Pn5k0bIZYDNoWoisqOkoq/Fq+atXD57IXL5vy9Yu7i5fMWr5i7cOmceYu2bN0ZMxb9vwyv//67avaCf+YsXD7n75WzF6+a+/equYtXzl286p+V67NGhQmMRLEasR8VHNuJA2HPUQTICZX1cQ5TEWRNg7KvgISiJCGk5yJoM7BwwTFQoZmwdOYI2WcFPWUGiKgQhLCZ4Ki4mIoEN69YVBGLjDDAhEgREzdgCSI0dEQZEcMidLEYmCQKOc5urouFZKLJRz4XFkTNL3UOViECCUUsSUKSPcGETeviTM1HoRk2owR6QVc1Qeg8R9jCZyoXMbgRsQQ3Jl4AEWKHoqocknRi4k1FRRSGj56GF9hJXAI5J4UEUmKslNNF3Dy9AwowUK8SddruGUlA9VIqZJf0EdQ1GEyIirEKqMpufkLBv4hTTP7XduPJqEnvcecuQSUhmSOumlD+J+ZMZyX2IGuklKSn7gcmPF3096L5C+YvW7F86coV/y4HlvNG+8+/y7Zt2ybYRdTXz0QV1HUVLSqinq5ZnlV0PGCPh6896tBW1UK2lKTQEvO71KqiFEfYbUThWDLdjROPQXSak5TGuFtRcKnM1V2qEAgdpmf/+dfvk6dOnDIdmDx1xpTpMydPm/nxZ18tXb7CxHPErJg/JasqbpZEzlnOzYhBt4edxf8sadm8yQN33XTJ+WfkB0sp7xDxgH3annXK8a2aNfl3yb8WI9KKdhKSiTG1aJaNpaWl30345YVhwwe/9Nagl94aOPSNQUNfG/TiK4OGvPzm8JEqUl5W/vHHX/IrAdD/uRf7DxwyYNCQ5wYPHfjCS99+95OEtBKTWIxZjG7asvW9sZ8OHjZi8Msjn3cY9fzLbz//Mv2owcNGQnxt+PslZf7fxkBeOBbIiOqQB/cBj6WQ0lSoXq3gnDNOgvvpF99kLGUacOEBi3zz/U8fffn9x19N+PibCR9/PeHT8RM++2bCp1//AHz+9beffzF+4d9LJISKTOw/6OU7Hnzyroe63f1Q9zsf6gYyeMgrFuN3P/xy692P3nzXozfe9ehNdz5y0x2P3Hlf11Xrtoz56MsJP/5y1eUXdTzmkLRmivPkntuuL921a8aMWdlMDCb+um4E6hXUqp/CRFgYjxyGtmjerF7dOitWrXn5teE//jxpzp/EsmLJ8jWLlqyYPmvep1+Of3/MuExFRf06terWqeUrK/rvijXjPvzkyEMOOuyAfTVmMW1C5xQjNb4AABAASURBVPeceMfMPefWC4qDQBTRBChggrCyIuSdUgoYgqZUOV/MWJsLTtj/8es6drv2mG7XHp2DJ687utv1xzx5/dHdrzuq+/VHd7nh1OoFaLvtmI0S7c+//uKxtUedmkfu3eyYfZod2LpJRWVcvW5TSWm5hNSiJcuy0Vo2rnfiQW06Htxm75aNK7Nx9fpNJZUZTeWvXLM+lU4d1K75OUfve/rhHVo0qldWmVm3aWsZQsJ7nGK/dlH+Necc+cDlRz505REPXnnk/Zcfcf8VhwMPXnH4w1ce9uiVhz929VH3XHkCwYuyC0iSlBWcKMEAYR0AydGYOc0nQSWEDes3FBcXnXHKCYP7ddt7r8bqb0vcL3xUjnyHcu5px597+kn56dSKFSszWX6Wkary4gdUvKVTIRWwJVOmTPv1t0m//D75198nc6vO/GPWjh07UkH8f13AUWAEYaruWcBVM6a/TZrx1tsfvDFqzOsj3nt9xLuvDX/31eHvvvbW26+9+fYrb4x65Y2RL78+clgC4K++MfLVN2G98+bI0VOn/WHEKL6Y5I1VshrzwRf9h7w54MURzw0dOXDYSPoBLw4fMHTkgKHDBwwZ3n/wa4v+XeYR+2WoqnrY6lMiElH+zNhTkrT/MA6VqDRUxEUY2XCqHHz4hyVsIPGGpCajJUG5KUeYiSQIFDwwBwRpSVqiA6Z+8jAihY8cYhCpnng0eBUUcUq8JsrdlAhJYkAZkuVR10dCIDjukqBMwUwh5QRAjCuhi4kINyjbzjERcY7HLAjjsUqSyW4QRCxHTkiJQpWyE9gjcOkT2+br5eKGmvzfRsyWzM05WPHRElH366YSNmbMwLjgVs18Aq0KqnIzDCW1wr8XUiNWExEMYi83owcwWSXlAs53YlI9J/x3JaVwSfRFIu4TliV90qGrtAQXxYqIy4OwPYKqsk2IBo0ykSkbNo9esPT9v5e/t2jFe/+sHL149QeLls/ndVNDtrIiSDZIZbDKFk0bpYP/O7e1FZUryiqXlWWXlpYvLan8t7Ty35KKf0syS0oq/tlZuWhn+fztpbM27/xt7bYf/1mRUWncqEFxUb4KmRueCSKBrBrnM488QFLC4y+mzPhko8SqCcs8zLTGVIgpzUI3337C8rmuRO/VgijvvOj61DLBsGxqKhq4xPNXlaSxq5jmZjkSBgExwXokQhHzZRBDVM0n/z/C/jLAruNYw4Xf6rVnRmxJ5ji2Y4hjimOGmEFmZohJRhllZpRllEwyMzPFGDMzxszMKJZmZu+u76leI+Xc+/24reru6qq3oKt7bRqfnBwjjMB5eHH/53JLXjrmjJOPOXjGGfpLZryyVFUrp3ETJ0+YNOlvCy643HLLLr/cMssuu/QySy+59FJLLL3UP5ZaYrEll/j7EkssBi2z1BKrrrj8skstNmBAby9eTXVOoq2wzNI3X3PxTVeMufHy8266/LwbLz/3xsvPueGyc66/bPR1l4y65pJRhx+4d+8O6mmWkmRSjB4MRxp8CHmncxOqGA0ls7EnqYePSc5eNf0CmaScs/PqmnOzpYefeH7YgUefevYlhx57ypHHn/bzr2NdcvDKuPruh9+uv+mu3/74Aytozjnn2Hmn7Qf175eK1pTMkxlhoCSrJkztPumUM3/7fSyv0uustdp6Q1Zrr6wyzTjjYLKgyp988qmxo6rx2x/jJ0+eLKlKqX+/vp4zPOfjUSuyhSKRWKIo1Mp58qTJE8ePnzB+3IRx48aPGztu7FhGaOqUyWZWUGWAdwKmV//7wR77HrHFdntsvt3uW24zdKtthm699S5bb7XL1tvs/MKLr+WMiQG84OIrN99y5y232XWrbXffervdt9x+962332ObHfY44tiRYydNCRRVlBfX7BQGImHnMEQpUPHMExCmh8C6sGIICWBWtTAYglrgkYQaNoCxIiUmF1tgDvIyIIdhDPOQ0B3buMDTpPVsxZa7AEImiEFixpRIPRwTn5uA4VY9bbq2tgipFzss2asjMGFSOougAg0Ni8LLMYndhTc2znOKoEc7PV0hc0VzPGMTbHR8FEmEZIMe5iH3EASDYUzgRCqhjmAhio5oOpC1Y2ZhYSx6KMEH4Z0qwxU5hk4mGEyToFR01QLz+tkqaCF0R+HTorFAwBJVjD2deonGCm2NdaWQED6mHkdeEADcCRPX30MDFIGCBxzqIuX+xNIZ6EHuaro3N95grYvOO/380SMvGH3qBWefcsHoU8aMHnHh2SPXWm2lqkrsxoykSYoocCaC4SQcu/Mxt9Wy5lTrnpRyp/O84pnYAHAfT6ZHEzWn5OQfakwNgIIPEYhQOubZc5ZnXqckMMbgpmiAjcbXoT692vfZe+jpI487beRxp5983Bkjjj3rlGNHn3rsxeeOXHiBebAGDlruroyDiGMIWDMhdFSRgzePO/LAS88buc9u2840sF9KSdaQqob5Prttd+n5I3fZblNvdpnwwRNdE7zIT8q9OhorLrfUztttsfMOW+3yr62H7rjNbjtuN3SnHXbdaTuY3f617W47bbvbjtuE/F/b7rrDNkN32HaX7bfbeYdtd9x+62WXWdKdv5JFJs1mJyF++fW3S6+64fiR5xx/6rlBp513fND5x516HoRk1JjLJk6eIvE6zKnx7SK2JTPIeKtJvAvzWd2WW/LvG6675p133ffCK28qNWRJ4gcSP+e8iw869Fho+CHHDj/kmAMPOnr4QccMPzjoAPhDjr7tznssRX1yjkI1szVzyryZumYaPGjI6qssuvDf+vbp07t3n769+/bt06dfv769endwF+ade44Rxx0yfO+dZhs8gHfZyn3Iqstfev7pa6+xcq+2Kpnkbrj0eBeRU0YKarIyMrivsOySw/fbkyjHn3zWfocet/dBx+01/Ng9hx+718HH73vI8QcdccINN96yyEJ/PfaIg2edcSAHOXbilONOOKW7c+pOO2w160wD8Yv7cIg3TWsENTcrYmZzOXc4BpkhNoB0kyk5O7fKUqXQCG9c5NzdZZ3jU/cEb07Nze5Wi98aW7nVtGZ31T2p0YVqonlW7C+Tg5zbxkorLDrPCUPXOn3PtYZvt3qHKaVkKRXPqTKtvfzCJ+y1wUl7bbDNOstWbEakJXw0GtWAjrZt1lp6xN7rjRi23lrL/i0pbFOqPFXidSa6p+aURvd46+Jnv04npRbfepia3uq05qSqe1yjORlDA1xClsRyWSrGiKi6URK2GwIzSxSnudFGa59/5kmjRx61/JKLNkgsZ7FBz0kO9e/dOObQvS8cdeKOW23UUXFXetzKhWfJLLeWX+YfI0886ryzRpw3asSY0SPHnH3qBeecdtG5Z1x8/hmXnH/mZWPOXP2fy1I0gknCKsISggKlxrJLL7nTdlvutD201U7bb7Xj9ltxvjtvt+WO226143Zb7rDtFjtsu/mO0Dab/2vrzbffJmiHbTbfevONF1lwgeLQ5VDkjOebb7vrtFFjRp4JXXDKGWNOOWvMKaPHjBx9wcjRF512ziWnjbrg08/q/zuEyN6MmsmpQxBz8WQyiLNxE/sXnBmS+iuIS8Y1EfHMiBsUjAErRE4YuiEkL7yLBjLKJsG4TInIYenGQtg5XbVWNa9owEMI2wOsJ2KgMRY8tZF0eDHFKBoczo2lsYJ4EhmxysIIlhBy2PCiAoohOhoehOAES/BgHawXhjTZSJwdXnCABkaKkghPOAwzbJ1VdIGvtQgKhdRJ0KXIHZNwLWKFmjhOx0PCPzmjCFzAwqLGIgxVEZgABqdowbhRXyFFYIJxBVo9DTVrnJaRg1JPbGakWLjq5h6amo9c6eThIIQCreBr146lsxINnlFAhLREmSYC4fDOd61nvvv+wpffPO/l/57z0ltnv/jW6BffOPvZlx/64KOJ3d18TsWSaPLWHH+evdFIv3V1XvD8m8c89vLRj7185GOvHPHoS0c++lI9HvnoK0c++uJRj7581CMvHv3oiyc8/OwTn37V0afX7LPP2tbekVJDKRlJRMldsV3GTGJmCYqM2EbmknicI+lxvgJAAZMCr5xziEMuJzM0JGeW+apvFs4tIZZgIUnJ2L1RLKF2Q1ICKpYqrZQNZ97iwhVJ5u9djQ5v662qlxq9vOoQfFtfdfSzXv1ibEPesEbDqjal5Ckp3rvDe1WlQw454MLzzrrgnLMuOPfMC88944LzTh9z7mkXnMN4+gXBnHbBOadedM7pxx918LxzzRHRyazEVTjQoBn688erhRf4y6ILzLPo3+aF/r7gfIsuON/fF/rrYgst8I+F/zbfX+ZuVBVgM+IWm9iTzODZCL4okti3EAgdNJ1jXXiAURWnfogKIQoLo+Yu3u6ffu7F7374CWl2vfTqW6+9+Z5Tfl7vc6uzu/Xgw0+9+PJrHAi27e1tG6y71grLLF7xlbgEdzeRj0UTp1C13Xv/I48+9qSZ5pprjh3/tdWfZp+JY+G3s8X+sQiFx88NN95+waVX33LnfZddff2PP/8Cslev9r8t8FdDzQ7EA6zYFCdf8mi1muSm0h54+PE99jtszwOPhvYafszew4/d5+Djhh18/D4HHzvsgCN/+vnXgorBwlVcmImTpnz93Q9ffffD19/9+OW3P3z5zQ/8hPrFN99//e0Pk6d2UpcC1PgJE7/+9vsvvvnu86+/+eyLrz/78utPP//y48+++OTTL7v5PloyMLZKuuGebnQuscg1WEllMpkZfHSVwTH2YF0RKwZjczE7temRFah6YO4s5bgOCql7zYVh8JwntkTq2UHIFe8flLFGxrHXvl3RGF0YKIXvupcwKE3xL+xsmtbClhBonR6EqNaWk0ISIWql48CRSMUEpKKVmc3GXGLBK5joAFxonEgegmCkkqLqFrwhQetMCA1wIRiWSJ0JSXgWQyzrK8RCSBROVBrHVZvFp7EAhqBnjqkHhIGXJeCaVC9ZOKkwFWQMUYKYo0fAsn0W4Znp/xLQaVoVF7hSkggnWq4ZIGahjlLHzEnnhK1iER2FqUAiqxScKR6biMnx/2nmGbfZdP2dt9l0l22hzXbddpOh22+yy/abL7rgXyvAGGGDBek6i0iB8LyihYAnn5fdnC23mBVPYPZWFhLAuRZkZX71cAGmMmAy2HBFdCZL3CQCoEPBx1lvsdVMkGnEkh1YRT6NZL3aG5tvtO6wXbcftuu2+wzddtguWw/bZcu9d9pim43XHNi3l+S0sKyT51VKGdd1dGQm/kXuKTd33mbj1VdYAisyMUuWGpbYrc85+6DVll10vjlnnn/u2TdYa7V1Vl+p8mab5ZkG9Z//L3PMMcvg5JlfCrfaZL1RI48ZdcrRZ51y9Jkjjj59xDGnM558zBknx/Ksk48MOumoM08+8swRR51+0pHQGScdfcZJx2y5yfpqdUkt5ebf5p93iw3X23yDdTdZf50N11t7w3WGrL/2Whusvdb6Q9Zcb6011l1rjXXWXH3IGqutvcb43L9aAAAQAElEQVRq6/Fb1FqrL7rQX73VZJcWu2Kj5rErM6vYwOCB/fbZY6dF/jbfiBGndvKFKaW11ljlhKMPPnT43sP23HXv3Xfee+hOe0G7/Is/+u++6/a777rdHrtsu/tO26y4wpKeuzra7MRjD7nm0tHXXDzq6ovPvPqioKsuOv2qi0676sLTrrzw1Cunjxecdtl5I+ecdcA6qy+363Yb/3nWweTjMuo/sF/vNVdeetEF5uYvXTttt9lf552HUxs8sP+sMw9q8A5lYJKUTDKabGD/Prv9a6uH77v18otHr7PmajPPNBNfbSaMm5Cbrbnn/POO225xy3WX3XHjFRsMWdlyl3u+4fobX3v5xQP33XONlZcVf3sRkVXatEtjJML1Jhc4NOaZiNQrHhduAhZGR18WVj4oOEAIiEKa3Sns5NTrvle+ve7xL6559POrH/3imke+uO3Zrz/7jco2ZAHDqhADxsg0sE/bPDP3nm+WXnMM7kP4ep8oTAwa3L/3X2bpO/fMvWYe2It03ckqm0V+7Ukz9W+ba8a2uWfuGNy//HXKktVmSiqNpFquP6amh17+6tqHP7rygY+vfPDjax/57LH//jKuE3BqSxgArceIYD2pcWXYkHnKPG8gZLy9Ej4It8rNFZddYrvN15t/7tnakmu6GdCSZSVfeP65N99gjT/POmMltVX6y5yzzz/PnDMPnoGLx3dV6jHvn2fdcasN9tppqz133mKPnTbb41+b7b7DpkO324RXlV222ZgvafPNOUvyFqn06tU+3zxz/n3hBWabZWYiVMm32GSds0bwyBw1asRRPFOMZ5181FkjjjnrlGPOGnH0qBFHw5w58uhR/LAy8tjRI489+9Rjzjnt2FGnHbPhOmvwVhbkNsccs+0/bOdD9t/9kP2GHrzfUP5kfdB+u0EH77f7QfvtNnyfoQfus2vQsF2G77PL8GE7r736ir062kWVjQ1DEkWCZHLycuoYGgfBEm1IjXo5GiRMSYBNZnQAZhaCwnkpo4eHcMedMt5MqLgEns4tRSvAwkpuxRnrWCKBYoGCyQNGDyHppeKcnFl7ckYwqCO5wjFgEslaliAgwOG48ELlESXjCiTk9ECqOJZkJXGmHucBhcWNJAcaFnDcDwQwUjKDJQUmHAfA3cJP9GSKf2LsIdEsOmAytRA7fEKmWJSOvzLLioqv/qqbMUUMpngaebWPDcaqZCN0eGVEBLZm4INYeH0UgQ0YCAKETj6NUbwjUBB3tEXFQBasGBWTWYzUw3GCtkZGIsgVkJAUXoplpOq8mwzYZ48dR5xw6LHHH3bYCYcdctxhhxx/2EHHHn7QMYcecuyhxxx3+MiTjjjkwL2sGS96nlt/nX/ejo62ybn1yo8/Pf7N9499/QP09Dc/Pvv1j88H/fDcNz889d1Pz3z70ys///7p1M4JvdrnXWj+7bfd4p/LLWNGQZNz+URj5zyCsnpbscpuGTVsliBUEisXeyunJjiOMMrg4i2etYCwBssTjYcCZqXo6HDEjWGBZ7BIjAZH4fgY4A7bQ/DuTd7XpC++/vbwY0Zsus2um2w9dNPtdt90+z02236PzaHt9ths2z023Xq3jbfadcMtd9lo85233GHP2//9kFVtEpnFjvCaW84f1R946OGHHnr4Qeg/jz700KMPPvT4A/955P4HH7nv/ofvu/+hf9/3wD33PnDLrXe/8+7Hmd2KRk5xeuT06Vdf33THPTfdcW9NN991/813PXDznfffdMd9N98V45PPvtDV3Y1NhBSFNfYYxlKGDUXUzlCFc5dJcu6Dx8s8rLMOqrXFiwCHqPTQp1YrT5wYf1wqIjVbrSlTpypnbzVz1pff/nL1jXeMHT+x1v5l7rn+te0Wg/r14pNJSNyoCG48k5e76ZMvv7n2xlvHTZzEFdpw/SFrrbZKJTOl9vZq1RVXmHnGwXJ9+/2PJ5x85sFHHP/Yk89085NiZcsttfiCC8xnxQv5qzzyruyec/bcig2otG++/f6Z5196+oVXnnnx1en07IuvPvvia8++8PKUqZ0FNW1IUTTikwGi7GRovK/VlMkbaamTFSYGhBCcx1QGECQQ5BY+Ij0OAL2bZQ5U5jiAYYSPMHJzWASeo+TBuGSqU5HLRDP2CAOpKIIRdkqGS0SMKs1ZBGOhlRXW3QQxIIBBhcIL0iKLcALSkdZU3wFHFoZM5mHKDkPjCLErqzLjOfYhHIcQxw4emKJh2+NZXtbEAOkhFIw8dhFCYR0zlpSRFRQmNZIMhGtkQYEjrqKDR+TwOBDFN2cdBCrY8BZz9AyMTRckauaykjAKZ8GYFY0k3sdjy4r9oTUvmh4LbMWrETA5Bxw3JephEUZgMmahhC8yHLAMGBNCRlDlbItJpIashIhZkRN1MueCFjy2BGS/gWejmLuySCQLs0QW2LghCSpZIYc3wkjZDB3GrUjUeZHNDWs11Gp4s/Jmo9VM3vTapQQOr27mcUJyTCVLyaLFGB1hLJnQYZEVhp6UZZFzWDumZJvRUAiS5vmQyxGQh8PBszee4xDjQZiZCQ+WPN4tWIS4rbKOytpNfCDlE2p7pfbklecA4saIEBT+qRkSnJuhZY7KMCWZWTu/EwImGoESIeRIVZk1mDsa1YbrrHzXTRecc9pRbd7Vr1f7vrtv995rj4069eiUuxsp9eloG9S3Y1Cf9hn6Bg3o0+jfuzFDn7b+Qe39+7YP6NcxoC9M24C+bQP6tPXvGyNM74apxfelrNzafptNb7luzG3XXXDbtRfcccOFd95w4V031uNFd9908T03XXzvLZfed+sl9912yb9vueTO68fssfNWbMRKNTLvnZyKkoIqxiT727x//vft1z7ywF292ri3rVWXX/qIA/Y86oC9jh6+11EH7X3swcOOPWivYw7Z+7hD9znukGEQkqMP3mvNlZdLmbeCPKh/x8wDe888uM8sg/rMOhjqPdvg3rMP6jvroD6zDeo328A+sw7sMws0uM9MA/u2m/dpb/TiPBLBLaWKxCgdgZWbq6+07LlnnrD8sv9Iap571skfvvVCRwNcpZQUjVM3tyxv9WpLc80+cNtN1zrvjOPvu+2q5x6/+9XnHnju8TvvuvHikcccuO5qy/555gFcTqNorU6+TL73xrMH7LVDRyJhHLmMU5VxP+XOLUAmjjImg+G4iRICYnlIXXw6QOBOAggcD0xSZJbM4HGWqraX3/9uv9H3H3nZQ0df/tCxlz1w9OUPHDrmvmvuf2tS06bbRATiyrEKYibP3Grx10fuHmqlcGxxVBVbxz08cpBGZCbJaKoqS8mSmYBJsqAYjERZcU2V3e589M29TrnjsAvuPfKSoMMvuHfoibf8+9lPsrC2wAkXLv7s7O4RyDM7Nh4I/FgIlOU8VAlt5A4ytxrJGxUAFxBC4QOueFAyfFcp8cTAmtmAfr2vufSs919/YoctN2xUxUCxuUbKbanVJi+UG97iJSXxvHh3Q92pfNGS8hyzzTzmnJGvvfDofsOGeg55n/bEYzKwX1v/Po0BvSsekxl6tzMO6Fv179uYoW/boH7tA3q3DejbPkPfthmKZEC/Nu5gR0dy9kBOluef+8+nHHvYGScdccaJh5/FzxwnHXHmSUeeddKRZ55wBDTqpCNH8/3t5CNHjzjqrJOP5EeQrTZem6fYxYWNbblUKLFv8f2Fl0ZuFhUgABqDi65EMFc2A1cEchONEUiU3NAigNxxbgBhzAyJGSM5wypjIjNjA1Q+hYhOEkCCKbZkFZ+Z0IJjkcRRcqXDlu5EJ6wsoZN6EoJHWAxEA6TMjFoIjRDMhGV0Lrt5hLBw557RQirpcWuCCQeBDW0kZ3FDQiFyxDH4EGPCoubMMGDFzqImcOBJtjCeCtRcOJKHjLxiik4eTLWVy0TaaF0S+2YjmIUNAjCoYSRwrCCjS8JJyFHDK1hhykaCdY+4+LFgQhLFiJ0XJM9HnC8GbLh4kCiRshElO8mUE8SOjXhpFCJ2jI6tRQooM3gyqckxlcAo4aUj2eYbrHnEAXscecDuRx6451HDeyheqA8M4eH77b7+GisqN2PLrdZcs8345stPPvqfu6+44qKll1mqZWbSFuut+u9LT3z8qhOfuOakMSfsxQ1odLSdeeYp3339wZef/PfNV5+56Pyz/jrPnBZHytt9ZhOueuBc4xXKDcadtxKrxBUyXhZAiG14D5vEHlW5qmYOR6DFg6yMI8stbzXdeTtruROCD8wiBIQX6sIrbeGthUcKR/lDT6ZWzhJU+JFys2tqZZo0efLLr77x4MOPP/jIE/y15MH/PH4/9NBj9//nsQf+8yiShx598uHHnnr4iWcefeK5jz/53HDYcqx5GcnurVYefc6Y/Q8+ev/DjjnwsOOGH3788CNOPPjIEw866uRDjx5x2LEjDz/utCNOOPPok886YeTop55/udma9iYiWaFXXntzlz2G7zrssF32OXzXfQ/fZdhhQ/c+dI99Dt9j3yN2g/Y7YtSYS6d0dik7F6LHJgyxpoiKFhtm6x4bNORQiOteLzDmFlj0EFgUU7RklngbTalf/36LLLJwo1EhNLNZZhq82KIL4NCr1ErpupvvfPe9D80Etbc1ttx0/eWWXmzaq6vcOKJscimY7ma++54HX3nldWo15+yzH3HwgbzhynAch7r8Uv/Ycbut+vbuQDBh0sQ/xo5rNXkvqOaYZaZRZ4xo4AQfOFLKblwQCWDCeSu34CBJZvWs/88G0GgpVVXVq729d3t7R0d7e3ujo6MtqL2to6a29va2tvZGWwdjW4wwQe0IG2D4i1yEpBu5kBmRg3Ek5GzM3CuurihaQMSVU+zDS3nYQazQmMxVVwsHGLkcMdCWEDgdbaaYcGCLn8z5BshwkmsG1pQxgQkXaCDzeJ2BEQ6KE4NhYTIz5jgi5hpmwkOAJeOfozCGWPEMImJB+iahhWB48S5CRQPP6xK7hohrQIhpdTrE7WF4dQNdr4noZoEsV9oZ44UOGfpAJZyIRDMLoRVrdwaRkhOeoBAFJSi7qXkpCp6kcJ2UjOahNbGAcQmnDHIscBiswkVhwJI5Y6xMggJY4mPNSxNmiubsBmcms9qjw3mwLjwD8dKpBx5MZlY8S2gjALEDIQZ8mrl4xWWIMKEHaCZabIIM2ZQQgChH4XUomSPESe0uOyYRgCWmyFte4nJxPL5ftWLVasUrVo7S4gZQiRmsRQiZlBLVS3jHCwr3EoXXYThx2MQAllGFbbhQvJUXrZFacY4tWhUrXCFPqVK4wrzHtOV1ceWeMYIcSW555sWdDCGPhgXkYW1ENnxzC7ASjsxYO2LBOCoygCX/wsj4F2G81NEs1mSSGiCS882TF7fKLCX3is+FuWniSqCUm5N58myZfFrmLcpo4jUIXnIHZxb+DHsHzr1A2/P6zjqxpeZUNaek1tT4rzFzZ2p1Vbkr1YSwNcXivxBD3ll5F7E4cRnOySdmRSubhyGEHNuG5v92/gAAEABJREFUmuKlMPNO1+3erdxluTsh9G5z3ry71epKuZlyC6qslSSzZDIcQRxhJTbJWSIxxLF/5kSzysrxJ1OZrepRuqRkHKBbEsTSWxLkleWGUbfgJZNBMbMNyNQiomW32OmU1JxsUPcUsf1M2lSMSmZcFr+tdsukDW9x4jJxEHKXRWOh0rOUOZl6IYEytywVpIuTCA8sIRfWzHK2ZGDZR5Vac882cPH5Z11o7pkWnmumheaK8R/zzfK3uQa3N1Q3E+dP2i3x1cpFy6q6qj7dqW93aieDyArfitzNcN9Q1ctTh6dwYUJmWDHBZmt46uUAPLSRKPZxqSiNZLKUTXneOWf6+7yzLjTnjAvPOXhhxrlmXGHRueb/06BUNiCaOazBQOGBJLmJ6HtcloxclpPz0sLm3dyTM2KAqXBgRiiXLBoznGhoxClz+Gp1WXOK5W4TlwWSDCqdoTYJYwNsMgg1tmZVZNM11TonWNekpCwztJDoJhKl/vVmk7wqElKvEq6ogOMQqpQZk4yWRGPIkU+525675E15l+dueaHpjPMIcP8RxsVLztMae0+yhBuq42LzZqUURnNDgDCmRL6hSNQtZrOwwSiqhhAkCxgPeWiN3GXcb8ekLACgBIBtCBUzkhwOxSrTxQID9DgBgBEWCOUIFKqAGC+Aol7cdtQehh5yhwNj0WUWDkJsCYeREBMQsiqLHr0DMStYLzl48I7Eg0GLqwDB1Z6DIRe0tTjSKZwVe6HI021jhZLQFJHDEwIPLShFC94NzywARmpwsWeJJGBMxqjpjXoSniVMIJgyKw+Y4kgUDRsmVwoxEFlJz3FVVhTJTTwPSMCaPOpUOF4ERXmdW+dCEgM9i4Ups98Iq3CocOeuMDFiG68myBSmBhMqOidAcXHo2VrdQc0ua3WpGS/ywcC3OtXqTDkb5DJZyk1+81p5yUX+ueSigwbE/6oBGbzwyn+/+PKbeWYZsORcgzZaYdE+vM62Wrl7qrom5Ul/aPJYmzrRcMVbTKtbvEmFNycTc8Nn5O4lWc/OC7W7wVgGkMhZZsZznbzRsFQZKcRV455lZgw8qhYmSYxusfvKZCZZ/LNkRsGzCWAiTjDUiQRw0GL3TricnR+nurtnHtBnwzVW3HDNlaAN1lx5w7VW2XAtxpU3HrLyhjWttfL6a620wZrQinwLXWfV5eefe3Y2lZRzbvbr07HSskuutuJyq6+0/OorL19G+OVWXWnZVVdcdrUVl1mtZ4RZetUVll7ln0v/dZ45q5QkmVmvjra/L7LASssvvfIKS6+4/NL/DFpqheWCll9uqeWWW4oxaNkl/7nsUtAKyy7Zq71hHrtWbJxhGlnsmoWrYudBLMxAiUshGOYYKUTv3r0XW+Rvyy652HJL/WP5pRaf80+zpMRrh3C+5cbr7rLDVmiXWWKxww/ce4F55q5SVaU2vtt+8+UXa6++wnqrr7jhkFW23Wy94cOGqrurPCye402fejtFiXrLfvvtt8njx2683pAdtt6M796zzTyDWl3mvBeLlAb07TjqsP1OPv7IVVdebrFFFlzkb/P9Y9GFNt94vfvvunmeP81CeQEVSqkkb1afappx0MCF/jrvgn+dd6H551lwvr/8DZp3bpKE/jrPXIzT6a/zzP3XeYMWmHfuwQP7GzusqsUXW3jUacddNub0i88ZeeGoERecdfKYs046/8wTzzvzxHNOP+Gc048957TjRp967KiRx5w98hgYaNRp8X8tMvq048457fijD9lvQJ9e1NYpIonF5KKoTrJ052CcG8aKi5fR0DP7DQgdChW3OCYzB4G3mqmV3H2coObpVxwfrLw8HcFZscWu2LoU1U6i9IrmSFjAwkAwCifIeyCkJ3wgdGEbsVxwiua0mEsqHFbERZvZQjx9bATnCBwPnqMAoGF4iiPDeOa8SGvP5BgmeCeME1KKIbpieyiBGzzUIxANYS62Ur1fDl8KWzTKwo4eCFdZ1gVkYSwjE9TuPCciXykY0LGrYmxysEWlaCmG6EYeZuAgES9QYldlKczU00xmVviARI9IjrR4NfwURiFR3Wq8ZPHP3TS9cTRebEOC3zpQSTUkdBARIHp9RAVVK/gMhUfRXQXAUPYOEmJVVV61e6PDG728rd3bOlR1yGLXJAFhqrqbWwlulixRdVZljAIDMRr+SJYxyDmnEhVRUFk6Tgico8oeWkphMuwZcJf4QGksJdYBYHctDOhNVyvLeUu0Ci9KKT6zNjoEVe2RkmjhM7RSceMqzvAUufeIxFJ1q7WA2AU8Y7jFcxUOLYlnzpJBSqYkJQNTSDKZKVVuyAtrZoKxaIn3F+Zk4p9hB7EWcktmjWQNhdh48bFUpRBWSqjohYoQeYgsScy8fPNAwwtbyGI2GBljvcU4X3MUReQhZ6COocBHEffgE65qMgzkbCwQMkYiVxaMsVTUwVgqIZQimcCIQDKhVfiBMxiL2Wg1r2g1EM7ocotXmuBI1ZxzLbxI0wCYAHg4ZuYyIfMA0NkFcsSOEE5FwcChGj3QyHCE0hIPOCueFzfYkMKgCVKwCjc9qlx4ET2pOd/MbZcdtf7FB69z8cFrX3Tw2hcfvM5FB6+z5arzdfAnmtoSb7z05dziDTBzN/Xu17/c+MT7Vz/6/r3Pv9dNIhm1s1FTXN1XPvjmmgdfv+ahN59449N4r0Ma+5Fnn9TVfPK1T668/7Wr73/tzY+/Jy+zWm2UULiKVauy7hUXnuWiw9cfM3ztMcPXueCgdS45eJ3zhg9ZYaGZjO8SIvMg8cBEJSiKMK2JPMxwjCQE6F0uJAUcA8vQAKCO7iQQQQXjyIM3WaJLMZrMlERjgEUVYy1mVHxgS8ksCQpk4WHwaDQphmRILBmkVPOSCZ50lWBUVLgLefBVSAxVFdr4fZZn0BwrMwUlWXmgMLe6VcI3StHNhGFVRin8KBrlMLQePIyc4lAWto7GHTEDb24ifVaFHH8A0NWESo4AJKMU7zeOUzjjQ3boYPEXWuOcJIlG8lkRVIItClcOkIQEHq+hR1uk1MZgWCb889IqyfgnQAgYZUhgIxUmVsKAbsK4sG40L0l5iVk0cAXliQQIIIVFXAnQ8GQSPpNUMnMrBkhZw0OS6lGCMcKhhUpQRBGyLE2lefEAG0JKHq8GPSpMIlhtMQ0GMsjdQNFNoQHj4SBUVBae/LGPdZEjqWcksR2m2LsxkyIfymJEUkAYMkMwEcIDxtLECouIgIoQRSgLmYQLNsCsaERkqsceAK8GiIKwg0TqkXkpNOLCM5NHjJwuhghlOSs3u6ZOnTJ5CqKZBs3w27gJp11y2/k3PfzNr+P7tLcP7Nc7x397NqnVOTXlbuNbVuZbHL84kBGRwglZm3NbeBFFQkxIpKBoPVt05aKOtH/+bewTz7zy2FMvPfH0Cx99/Fl3qzlxytQ33/7whVfeefzZ18ZOnBppOkWIue54tDClOJAn4jCjI4u40ixwL8OKl0c2JfJpLTL/X26//sLbr73g9msvvOO6C+647sI7rr/wzusvDAYeyfWxDMn1F911/UU3X3Xe1putp/jOQAHF5/hbr7/03tuuuu9W6Mp7b7vyvtuuvvf2q++79ZoQIp9G996K6op7b7184/VWb/AaUDbev2/HiUcdcO9tlyO/79Yr7r3l8n/fwhh0z61X/PvWy4Nuufy+Wy//9y2X3XvLZXfccMmMM/QxthDm7IW6lj3HHtlqSK0IgmO7FIEzY1GPMIprNO9cc4w564S7brjw7hsvuuvGizfdYA2+2FpKSTbvnLOdNeLIG684947rL952iw3kLUuNVLX16dV+zWXn3nXjpXfdcPEd11181UWjZxzQB63zLkIlCU5WLot/ycxmn3XmE489/PorLrjyotGrr7isNXlfIluTjJ48D+rX56Bhu91xwxXXXnb+lRedc8OVF14+5qyF55+Tb/uGQ0ABDY8eh4nPKlnadIMhV114+tUXnHrlmFOvOP/UK8479bLzRl523imXnXvKZcGMvOz8Uy8fc9rl5592RSGYy847bZ1VV0pOOTTHbDNtvMFa22+98c7bbbbr9lsM3WGL3aB/bbHbv7bYY8ct99hpy7123nLvXbYctmsQzN67bjVsl6333nWbvXfZes+dt9p0wzX7tFWGq6h9uXFcq5Jq2VYsjF0KhsydGRBjueJSXFgVJM+rpjeTwTuji0IWihgIg0JZnBYmJA6uSGLR0wn0f/TZ8BaO0JZ8mZFg5yrJFE5lxFvMKAJEBgjwjswQII4JY3aGgYcWECoIECPKDNejCXj0aT7IDDtWIIFAMP+XwjQQ//PaE0SKyxJiICotThGHrGMbxRdDhIt1gcSAPqboNcsYAFP8U11+CzU9GQJmNkjdQBKAJWSqNYIReZCOFR6ogkGg6LLQxh6pNh4oRyqAOHJH615gbNNBerz7Y6LSwhl9+jqBLwpm0OEVGyVkpJpK8hyLUAfVnnusLW6mgLtnvrzk38dNuuSqW08/74qzxlx99sXXnnPpjeddcctFV9385rsfZpIEyWZJLRksnmCD41FLlVKyygzGKlk0RsmSmUw0l1lhklRmReDYo8PBQ06LTByECVvxABWt2IgZLHupie/smtrVvO/Bxy6/9vbLr7vzimvvuvy6uy695s7Lr73zwSdemMqP1GRSdmhhLKxhiAJnLHAmNiEzo0smMhPNEt9fTAhUmolNAEqyJAV5jKJZAVlp8VHSLIRGi4NgN1YSKIOjKtENZtoCVjIkhSyVhJJiZbJEDwkQhWnE9Th95AqQx8CiPhe5alRIe7qzd36aiG+MFr/8W3EKzsQmLJxJhko5wShbYgmZ+BdELxU3SUbDTPBmSmYwkhJdboKh5jAkYmaqKZRRAVak5zjrKY4ri7cEiOvlQMgj1LBSNomFBAZW4UzqGUWz4E3ENTMZEjG70YKh48eSySRkQRyIaBaS4GGoDRJFKgoYXWzDTYI1i605rPjrUvecgxqLzDlgkTlnWHSugYvONWD+2fr0b+MvLegzroQN9STrnCsKLr36wRdn3fDIiGsfvuLuJ5tSZ2dXd1c3f/VKZt1Zj7z47kmX3Xfi5Q/e+vArmX1QBD5qMErjp3bf9tgrJ15y74hL73v29Y9SEm9oZgRQNHKP0hDXO6rW3LP0+fs8M0KLzTN44blnnH1QR2VNnlf+DhxgPLM9saPAU+Ueip2JnNmih9Ys3FtIrDQZCzOT4MxiVjSPZTBCxM1LFgxh4C3bNI3wStCoCDoZWl6QI2+WTgfpeI0eNohi+l9HgI2wVITwMlosjcZsYg8mBaFVoIyVI04BEQPbs0SDlRVpKmKjJTTGw14ZLzRIgxwPqGKUTBKAMsPJ2AUAWLblsUTARiGzWHJbRStauYWWpSdjZDPOROf8Yv8WUq6LCXy8FxQBvCMgy5jkmDAwWWmBNyUzRXMDamaKiS4z7M0MJmRSYWJAJOApmZJkopXXGzzLkgUhYlVUsBYM3jI33oIAABAASURBVBQzQ0YQJDDuZiF2F7PJFFoxs0tSlLIkzwg8GDcBRcIKwoWxELYKhoQcho55QBFCWDImutBCJqMxyIokUbWakYTGBBiVuzEmK03Coyk2jtDoCKQ4mySTJdGYGVmKblLiWqikSK7MLuReHCEwlf0h6zlKlMiSm/F0garXJgkJATDncYg1ekXz0MCw4RjNa2XwaIwOWxdNseBDKRCSxjujQmXe2dU1ZUr8T/5uPmTF/XbcrKu7dfndTx55/h0f/zC+V+/eZDpp0qTuJt+veBWtySW+RpKM3HJ4ZI2v2IdTTSQIzGVEgKtJZRepcf3Nd+978HH7HXLc/gcdfec990/t7Pr8q2+HHXDEvgcfu/+hJ7zy5nvOlSq+wy58yvFjImk8Q4QKlTwJn+YM9VrZhMjMklU8r+KbD38ramtTW8PaGt7gNbBSVQmmrWc0MPAAGg0LGyVZqqyqzHp3pN7t1rs9BdOWerWlPm3Wp0N9OlKf9kbf9hTUlvr2avTtaPRpb6uS0TxVspSk3m3VgI7GgF7VgN7VDL0bA/s0GGfoUzNt8AN7tw3s0z6ob6+B/TpgKu66orHfmOpuxsat5v/vOE1UwEmCJGObaZZB/WafaYbZZhww64z9+/RqM0spNWTJkgb07bXI3+b78+wzJWVLlVKbGvF1q70ttbdZeyNRGVRSFs3okOGBLiMRojHxVbYZX5zivxOpL0YNBWAgxAewZufgfr0WXeAvSy66wPxzzda7ytbqFm/TfOuW3AgAEFfhn6WZzTrL4KX/sfAy/1hk2SUWXW7Jvy+/9N9XXHaxlZZffOUVFl9luSVXXh5aYqXlFl95+SVWXn7xlZdbYhVohSXmmHWQ8Kym5UKtbhjlLshyF1R5d/Luyvkw10wxkjzf8Fopt0xIoAAkbxp5JTZidNKSUoxlQzJB5CmRNsQUCsSi8VrBCBUNQ6a7h0kt5GSnQcWT57ihMxbCmSI4C0MLjwRB2AYsMlYJjpCng8hmoAwAOcLDQBZNoTDBRrfYhLEUK3xxB8QekYSgdKPByFAADMKpxBBokxUSzWWRo1wKJ/AhtJRCgrBO3gOlaYOBckUjeeFLQiRxAxiCn6YVW4QnbkgtBqIgEaWUswZgilc/h5PQimahCYELVKhgkAfhrAjcZRkcgBBL1FAFzlj8F21mhTtefrxwChPRWBpT2WAw8bpUu8hEzjIzlSpI2TOhik/RYtdEJQFIgIUv5PUYFWYh4TQk0SWyK0zxiEY0w9wJGRPOLfuNN99+zMmjTx114SlnXnDy6eefdNp5J5527vGnjH4h/iduMiYlEo4IGk7gEAZnhDPn86VJRqtccDKDPMtCKoJEz4rGLpydKU6t8I6aHMxYseNMQXi6XfGJ0YUL5401oYUwKhXhneaiK6878oQzjjzhzCNOPOPIE8846qTTjzrxjN33OeLlN991i9dNo4zCHAMT5caXCKFowccca5RsS+EdEXWJ0QyxSI0Cwkpu2WKUI1Gw2dwAOMZ4l7G9yL3wyAHiyIsNDEuAwSDBFYcQwUMQ/t1LtuFY4QE7nIe2dC6fiClkuPbC4weniZgWciEkgkUpYdEmZzCStNBRZYIUEVXEUmLOjMFz9zKeWQEOc1zFglVkGrpQR6rsOyxKNxknE9kBlrE0GLbHyNJoWZ4zxQkFNlkwuFQkQ26QSDnCObyznbCte52tMwVcPX5ZRi4UDI2xkjybhQsChCWVxSecOeEcJu4/gdE7EiOkiCbH1AIaG2QVhgJQeigjUMvavp9Yvf75uJc//QN69fNxn/3WnGq9+GtqVcVv/ipeGNnXBuusteVG662/9lprrzNk3XXX2WS99bbbfKMtNlp3psEDvDl1l39tueUmG2yy4Xrrr7/eBuuvt/nGG+6y3eabb7jODP375e7u3XbceouN1t9g/XXX3XAD1JtsvP7QHbbeYMjqfXr1Nosil4zYNKFSp/f++Keu5z789en3f3n83Z+eev/nD37qmpg7ut26eVcKKGmRv7uBzywgNk2SEDz7Dacog9wVuJBThZCwpn6gkCWrVxkJRpyrZFQd38lKbgLlDODLREVZwfYQkVEh6qE4sZKdy4yzxJxZTDhWoEVKMDIFeWgUFhYXoSwDoLAlK9GYrFiCBWlmCGEYhQ8ncykZrKIZTWIwYyrEfkTDO2NdM5h4SfJiB9BBIyAVogSxIBErNq6IAV/f4/IISgbY3JijVIYBvIXcZKUFLyWzYPAWzswcLdUIc0lJJsgjJoxnmNicA0GeLUoqmtP/R3hxioKwEAOFxS4YPAQBwQHe0TDGMuxhEYNDEI8x2hCzNRwGp4jM3mIGJrYIq2iu2AuDS/hBA6NoMXt5BxAv7EKbQ+s1XiUfeMe3s4qgLv7VgGmSjF1AgXgoxZ+T4QkVCDoLRhlVBFDYGApPQTmDQLBkEe5xVmRFouInYWCoA4iaTDxbrcIiOAoDBjJ6FHm6QE6G+Jpmi149pkIsUVDRgmdncSeYajTOuG1G5gETvKvlIjYGQk5inV3dk6ZMhVl8vtmGbbnyccO2HNCn1wMvvL3doWd89/sE/EycOKkV37Ukx58w9/rF1clTljO+ikfCuAxJQIIRg2jG+cg8HFQff/H1J1989dVX3/z45dfdv/8xg3vblCkf/ffdjz769NMvvho7abJzsx1XoAlAODPYID5m4tBQmoc77mlUwN1BCW2psJnwwAeJ1DCDqmSJBOSVsfRKmb2mFl4Ur+UyWmJUdJBEcgqlFHJ8uWVjwokBCXFojAxEc1P5l5T4yJlMFZwcC5b1WAVA7IhlGXtMk9FkTDzcYFwySRaDx6Ay9IhV0hBxJQWGTaNPLMhYbCWELPFHRIhnIgCeKo9cQh7gqJab1UhsKlWVUpulNt6GDKMAIXdCmSdWZIARvggUo0edA6Esj/+cQsqIFA2xTFyJpuemMt+vmsYF5sIk3ASCDodzzi68yYWRMRDcaFVKyZSMZUqKipFK7I+bRh65haFyq3ZbHn/3FtWQPBuAGBX+YtuVGFngT9QklrVvySzgbAZD8B4ST5RZbljUodXTLEBoWcIyysMGnoicCkwI6+6GNtRer/9fYySJ92lSMwMLMWHJLoSkNg0mZAUbIspBJlbWVN9CJrGGpFINJhJSj1mkhyTUBs5DFQmIx8YlqHQVnYogZHDwcDXVvNXScIFbNLE26k2ail5Ogc0DjGUkSxoIABLPsELFAoJhCRPxiyHLWlh2xaooCRNSeY64GTeI8VRMgqXH6SpQhEIVkrqnmFxJkU5Uh3SIh20wIWdlpQUyesTjBQAWLpJgMhOe+TCE1KiF4RBWOEgmtMiAJsGbuOlusfe6m6KZTFBGw0RUbFU3Y2s4kGVCiUcptGEbamoRUsuBEG6jk4y0yEJ/69PR1l5V/MjTlviZxCqDREZhAT7zozx1o2Su2h4hCUT6CcdycoogCiO5Khg2gchEDIOJZQ1jFVmEixDKDUjxjQgkK6MIcIUcD4pewCqNn7uskawtqb2mKvHBd+AMfWebdWa8meJfQbJy3Bqd144YhVIhk4dUyCA3y9wJNuMiOGYoOIBYeBwYCfYsUQSRJq8nmKGBWm4UPuPK0LpSxpGMoLjLwHjKIFe4zlE1GChe+JIRN6wwBV1emEp22bBEl3ErY8wxAoFi2UrcRYIrYpGeAw9WxCVzY0deggoJQSDn+4GXrPALRvBwltlPWMlpFm7ZQPHrETw6QT15IFU3cyvRUDJTAJl4+8Qq0RUCJWEwLYdw65YDb4SJOZwS0+DFvSkOrce9iYRNjo/gopuFjhE7zBTJWbmURQA+9C5kgcxOHJVEiGdkSTogWQSuBMUN8iCvi+USSDG1PH36S3O1PS/b4NCbNj7ilo0Pv3nDQ29ac79rLr7nv92pIynhCnBlvNUkS/kfC859/SWn33bVObdcfvaNl426/rIzr7pg5K7bbzQDP6561z+XXuTay866/oqzb7ji7OuvHH3dZWdedt4pm2+wZh9+nLTWOqsvd9OVo2+5+pwbUV01+trLz7ng7BErLfePKrlodX4iM3dr//czH22wz+XbHH3Ltsfeuv1xt299zK2bHnTdfc9/1e0duRUG023Eu51in45puVmUXz1lcRdXhAIAcI8yRdGAyxnKOgZUADiFjNiB44KbgBPEQM2SQ8IZh0vtnBNxD42DKzP+CiUXMYpHZqh2l43aK4cX7IsYd7CBxKniCnG6XOkgXAYpBs/AgSEngnFbiMCajZMD7rnhTsbZ+aM424WH0GaCos4ZfFjGkrUiHLPREUuJMcsZXZFRYZKVJjOWAhtoD544ItPCY+uBdACRpjxb6LIb6WYTBCPStShnhK7CSZSDnrhiMmEV7ixgRZuLF+EeGXqEZlFwGDI18oy9qwxo0JVaoeZF22NHiNwxjQPBr0cATDFBKByI5l5OxMQ6BnrYCmcFr2SkJ/wwm0lFa6jpoKRamJIQWFVGEznUEAOQsGYVIz5LcGBuoUMdF0jo6YUstoNOAVLdAEf1SNLR1ISGLcYY6Tmu4cvrrrAsYUheeE50RPLQKoAwxlwIpOPVlUIK3kxBKEutQkKvzJCXIwgNEryGrWIwHo3IEK+QokzAUVmRZlPcAhEnDBNuPHocLldFVYHFKaFuufjLUv3fEM44oPegts7th/zjzEP+9ZfZZ/r8h18ndnYRf9LESc3ublyQhJgQeYsYZMwqnCBlYs1ILMvkwMPRc88NdQQWgU19e/c2PifMMuOVO2x61y6b3b3LxnfuvMl5W6630CwzIZ9x8IyyxL/ijPvCc5TxCuGNlxzklDgygWOLiT0TTZl/gCBCuVs2M36uBUv45FEkXmBj1yhEAHy7rDwSaHkopPJuxsnIjNslggRCnig40SRcwZqKt1haBVQA2SJKorFJbgLXCgmKGDNDAmcm5HHwDVlSiqUhIbYZWLrDuAfPAA8XxAIn5B+RSkdiYlvmWImB0iAjAAkYu0/O9lNEIS/nvMRZsX2jCRdEQQEHZXzgPADhILTx3yixVQgbOV9sBA8WcoHHmAomOdsospBS+swiUpBHIDPiyJGBxArLRBh6aBUak+GLKFZO0MLEPUVhUYWpYqMA3PAj4PUsmhOqjogvDt0pU+Tpbo6aQwsjD750OMskgDepbFvymAOskGYsi38WaMIfWYY353RbUlGKxiYYewjHGBjpAHA2AYuqFMdwwPZRwLCIQxFIDwk95uwiE7F55h6ymA1nyjLwDKDgQHlZ48wwcwaVoSdwDkuxTwFDCceIPeuyS4xYWdxF0RyPAQgTh3FkgoENQitZkkU8BCykSlZmIS3xTPGvVMUR8BoQhx+2ZiaVTIIxp+AIcKYUhyVarM0Y4ZOIz77xF6siJJmopTMbcisKYMzu1Ac5rPBg4p/VKhHAkAMBEJyM1AqDUVSBWI4u8HRzhjhIYMHhy+m4gLjvxdLFh4Dg6HhDUxwRk1Os4RRW2OUezwQBWxalHpKlPU8kAAAQAElEQVTItNi6aAhRqvS47ELtsVJp2KIzixmNzHndSWnVFZd7+Yk7n3ngBujp+69/+r7rnr7/uicfumXrzTdqVLz2qenie4ha2ZlchAqKjqugZNGIwWE6BwwX1z9OOqITz+iqX4Oxs3gGRAqUiGVgy0qxyOyC06eE2ASFkDmUMUn9+/S59tJz33zugTefu/+N5+5jfOv5B9568cFXnr7/r3/5E1WVBNLJhLjEgpRMSSE28gjGiMPsuEfsnlOqJaI5IhPCciQwIcvKTCyiBp4dU7pnJAFjSVSxBsYT7hIHFwWAydgCoOaMyHIOIHzxGIPYoFMKiTxCQBSK4HxAhMOZl/SyiFmwgZEbLsk0pEQWneiBpobED1Axd/FazOsv2gye12mcK4A4YDYPdGa0uLQeDAMTSrw4U3ZUUs45vOEwcgMkGTkbuUgsccrngaxMRPJxQ0C1ypKsyB9nCEQNxZyFSGEac+0gfBGFhYXC8EHWxVVBigMSGoQKLDwUW0Iop9rsUKExHOBJYWAWeDqOEEMEQBF2kYyXWni4UBksdXc3Zxo0kD9MzTSof4yDB8w8eIa2RsqtbFwosIoDM6VKNG92TumeOrnZNbW7a2pX59Rm1xTqIGAuz7nZ2dnsRDWl2dXZ7Ia6nAqRFUl47sK2cwoAqLtzUrMT2yZmpOKG8yDjwTZrZZ9l5oEzRzLkM2DWGWeYeVB/fgB07pWAK1wSMcijxiSQZfwrWu9JqJTV8Q0TFqHMMdBjZqI0FhMIV1UJmMUglbdWl6HFXXgRkeTOjiQOLFg0UEg4ZQkx1TfhRXGXCN2CiXzCgGOD5XBcWBHaW1nstWfJXREwUzSjEDJx00Qg7hXX2th+jo8wjsazw2dCoMmOCNZxXjIIHiZjyE3J+ODlyV00VIwRKCJ5SYqVo3XMcQ2xHSduAMsKqFEjpmQlSZxLRnhCmyRe9uUJiARPPK4N7oIxk4H0Ep1wqoXZKjh4M0MVEcOJhQTPRoTaxBGFoKB7BtO024lxCq3JRAuTVsxW1pyCuVlZlBE4CjbL9pSIQTgXGKSYgWfkdIJQxQJtrPDcozXVu8guFOblXjBxNAUfWlTooNhXSMM8ZsVtoc4uvJnMLaTmMQo5XbGILpEzgwBFqmWl0sKKw1XAsmIFl8ExQSGJSbFfYWvGEQBDyM0hnBFaFho2gV3YFs8MLkMIU8gZPQIFAw9hJmyjO4NHJYUQMxP7Yh8OTPiVtyhzKMMlVRDFD53FIDMwZkkywRd9Z+fUyVOmSJphQN/kuSNPGbLcggcO3bKNB1QyadLEic1WvPyGKyeYJGNbsrjlxKEybFcKsKLFRw2EAiGeLLOIKCPv7H/+0+zCptXql1rzDWifv1/HfAN6zdCrrdlsDujXZ645/mRoyVLGDonGzCOHsDjENHZkin9ILCMBSBSRjZWGtVu23DJlCgOZuAfcDaFnKfwylQcgBVqkhiMJIDz6uNWsyMUUMRSVcyQmZNO0XhgkZYMcQJzcdJQ7mmyGFbHxYsINq3idMaqJ6xBxHJiKhiBsrAzEMcCckzxmR8AcLhCAZoEMaTJaxTK5m6EpAwFLOiazhmSSkBNWdeP1rWcBDDBap2CBE6VJMFFGXEYUOoLEJGaIIpn1JIPUSk4edeZuuCPC2o306Mr1npAaMjZvKhsLnLJYiR9CrM6MkYKBDaiIgsBcxj8nrMPjtg4ocfegkLsHA6yYOCpiOCZhwCSsQoVIQoVNFjKIvIMLbfjFlmUiPlOorQzhRwhDnRHhAD9A2L0VhyHkywIAiGqicyBZIMQgxeccnEkUQYVh/1HsWLBtWfiQyUNQguEQHjEmvOxlFkUbIBdx2VCdmlP7LPCA3ZFhr9KxcXrYIsZGRAgNQrYBHjNZrUAQ4rqHG4VePi1n7BylR03rRyycIcJ1oMgzxVGICqABCuEChMTdAlM0WWzcUCDFGWHxmCOYK2wZgnGBySyYpAJnJAnVjQeI0wgHARI69TQeCFaYkRhekGLtIj6yMiPyaMzTCDkbBQMOPrRMPdpYsSXyhJCxDmQBhM/CxBC96BmMJIIixR450tguK4hFqIQD2KAidBEpViKfOpBLMrNkKVVJf5p50ELzz7XgvHMsNF/QwvP9eeH555plxoFmJpLHig8MueU5M5cI5BouCA0iKsiUjM8SEhwDtYSJY1GPE0UzfJW1YEQz/IenSEuKPJ1nyMOlUNHL6IHhrGNtZjMO6j/bTANmm7H/7DPOMPtMQXPMNLB/rzbOKRzWt8+LkZmgcGKCo9rMoqHtQUiI6nsWCQTWs1sOsWJVco2rURZZKi9DAARPZoxos/NMKt4tRJRQAXPucFQJSRAdZStHShi6ghEi4igWycxkUT2gLlTGoOKtFMXKOpLHrXosARI9SFQv6sRBkZXYFQlYJhPcsN+cha1yvdEwJw7akGOALrwwCbsCjR2wVcKSVZGQXjx8LBMpB66IcUYeUnENVzINbXiLTOlkIIEQPM9SsXNCSQQP4TSepQuPkJEBy7JiWYthgOOJvEJTppBELwtwhh6lcx9YoWGvOGMdUlzEInLwUg/yJA5ICLDxaSD/dfZ+Z+639ql7rHnq7mudsvua0Ol7D9lqtb/2Si324nUERcuW3vnw8zPGXH3GmKvOOP/KM8678ozzrzhjzDUPPv7CpM5mrtqff/WdM8+74szzrzjr/CuDxlx1zkXXPP/Kf7t5LU7V48+9dsa5l5/+f2jUhVe/8tb7zfLMEYDcGSHz7nVX+OvIYWS19qm7r33a7kNO22PIGfusvfo/ZmszfsxmD2yvEFtkZjtsjTKydFMpClNhrKxUxIEr9TepFktKJj4SmCuO0yVZ/IuBOcwUEbgglAO2VJNUScK5J+GuYMVVQR23jysBeZw4S4VPbGEdtOOtUBkMsyIkf3FLvaDxHegCRYIuiBSRCDvuPs9vcKFVYLmTgSEOVHIMb4iyjAuPW+e0DZsg5MCyU3oG9xzEUwUTonLyHm69NDkXTJV7EjWRFKVSNFdkRRcJFO/OyO4RQSF1JE7SyOv327ATGii7sjEXSODBCTA9RnQxhZAeXlGop9VwFu7st3gIUCDq9BDFAiFpEwQoSaoWmzh3E0oHbYqjLLHMpgmZcRwjvdapaGNZGFdxKEdCIcyMEZex7EkKhOiUkTFUZBtcZB9dIYuOjzDpiVizAcQ5KmA1wUMIWQJiDLIYFOFhEPekBZLFdJfoplGEJhNIMhVDBvIIE7qURePYWUAiooWALhgILrwwKSQeMQsT2GBwEf49eJgyhw4+uWgMxQ9uIk0kEA+axB+1Jk+ejHJAv35Syqn9qx/Hvvj6u/wsAQS7ceMmdHc3rSyobTHvGQgRHFFCwUTqkJOGi/NhqIUwbBJQ/uc/l200qh8mTX7go69e+P6P134a/9S3v9/25gdfjx236qorzTLjIAKZxRCWMEwQGzTF3cJ9PGQ4hLjTErsoxJ11mkgKKhsViUAgeXHOIB0/NTnPLHced7VWtFLW2oUwU2lYxuw1MtjSw0qkVxbmmSd62uGjymQgNiGRhwTL8aJHBU0zc3yzhAIQEydb4sATENtgAs4KL7FCL2BBXqQRokeR4cm/rEQzmRll44ljFkmxZbRwJkHwkFCwCLfhIJdE+UIYjNgacSia8cUSyuJly2ttlng5C3MPGMcROzIRjFqiDZWFOVEgqYenGixTAIFgILYC4UEhBAYkOEUzM/GJUHVDWRjDHQ5xVJaq4T1FE0qALlDB93TiwKHDMBi0GARH97hZzPIeGRNUJJiADdacbIJxCY5RgjEZE/UTjYLHiEShnw6LValHzYAhxzCEg/BctAghBMCwrQGUB19FHn5rba2CR8Uo0NOU0zP2aZIeTOBQ9qyKQ+LgvlbAS5ig5xBhnVVoXaWhogQhCA4dEzYlsrN04hXDQKNzF1LRUETZQ8DKaEyFgIQmJIZJDzHhOABRlbgQQktk4EZnE6EMTEDpEBKPQMwSNyy0BYtpnZaFlzgoFyxdQqdQlpl3q9oB2hJUIekJZh4icigOrJiakMWdwSFeIEcOmaNhxtZUD160KITEuCdFEHz49BoElnIYIXqEsEYM9gIitPT4ew69fO2qqioFNRJzSmghk/gUEDbeY2VInYXL4oFGBYVQeBeDxyAjsEkyE+8ecBFapBYSyTASbdoMix0Uu2KCEIVZDzAskSBPdasiaVFVIuAOHegYzc0sJP9jZGaoEjMOIPP4r6LbPf6jZ8Z2pfac2r3q8NSe4yfl8IsFm2B0J02seGWJWorXKVEClvGXh/gQFuIq85HLKuerCD/5xEtc9vgWw6czKGOASlXEkrW5kkRSNYlmXgkJxxm5tcnawROZ1B05XJyEaHGTI2LEiBA5W47W2dWaNDU31Z4bHV41ZEbebMHFJ/rczD5uUtdPv0/67teJP/w+cUqT+lSZY6k61OgFeaOXN3p7ex9v6+PtfQW19asZxvjfIq/a/5jY9cNvk77/deKPf0xqesPJloQg92kDM5TLgYUQhk0iikyAOTvxojCRHxwCYxL3qcAkJOgUm6TSoGIVOsG4kzRMMWEI2ygJ/iEE8vCsaGbGFAhUnIxkZvQsZyRQydMdDkkRieaZRzG3e9c/Fxq48bKzb7LsbJssM+tGS8+86iIDZu7TUu5u5fAQ+JJLtsa/H3pi5DmXnn7OJWedffGZZ198xtmXnHr2xTfccf8f46dw6Dfd8cDI0ReePuqCM8+64Iwzx5x6xpgTTz//9vsemTi1yxod195892lnXzzq7ItGj7oQOnP0RSefMebeR56e0tWiwpE9CZKi8Yk+z9gnr7HErBstP/vGy8268XKzbLD0zP9csP+MfZqJUw4i/aDYE7PRxUAp2XjhWAVbnktjnwidG8uPqfE4NDw1eBzEs8DF4LpWbbKGASrXj9LikaxcOImTkcMgw1VDVS+u0NRW1emNzF1q6yjeUkDMcBJZkYrHB4HMw5I6MibE5XFww4tUjyoteAJlco3Dc2pQ5DDUv5QeNhzWPZNQ8mzOsXLhrcurHBvp5XxpnO7Z4ll0t/FTun8eP/mnsZN/GTd5ajf7SDglYW/jcejDU6AGY29v6y0k7KWmsq+c2rJVf0zq+iEeqAk//j6xq/ydDC+kUkIlUjM4Y3Yj7yigRxVYQLLYExmjknM/Y6aDr08lHExzxmPgYaMyePCFoyLMVqwd40KhrZnwS0QmHIQtGI8e6pgzTIF7rS3xHCEUqRkBYAsVXHnio4LhNsTMBU/thY84FOpbSw2TCIcTTFQaHlHiO0LJjSbsaphA0rEDoBCzMw8eM9GchYyFF/NgekzqCYexU7RyoaUHj2UkZiyD6KE1TxYaTGOOqke4IkLjMNFFTCggIIVxUNEYHGaEsFh7D4yETTSGImHNSiJxWKSQoqGF4LCGENdLsYCLEWUh9uu8Lk2YOHnK1E4eyP79+nVbx9tfjzv18nv+/fhLXPs5ZopvPmPHT+zsZnmlXgAAEABJREFUauYc+JJuMASW8C6YyFfRYi2VhCJxCX6aTBJQ0+L/WGS3XbYb19V1238/GPHYSyc8/vKIJ1564IPPFlxskf2GDe3fuw0D4x2Tqwxe0XCoyN35YB/ldMU/hulXgBNiZ2CjaDxzXELWvEWWpIs9hiSPIYSAW1fSrpFk68YXNqdhXmsCVYKQEa5RhQN3Xg1kOC7fO0gpssABbzaMaGNdu420TPgJw/+zG1Jw8otkmRyeHkLCAA0KGTNCZAEKL8ysoAhRtEQgRcg9AsWSeKhNMkQxYuWxKQxEuo5PlpE9GrKGCI9G3AaxOwCAJMdBxg0cPBhImVUW71ZUl7XjI/DyMCRqCASmFoIAx8cVGDRZjs9wGWZ0RbYCHtuTUlUoWVyAyB+IoTbH0mQAY8V+mf5HkZNKZgUBFjtIAbTCTAMDQGjhCm1RuU2DmIcgesCRep2WR8aYFDUqZmOioymMe9wIPOKcRMKM8468HL0yi5hVO8JQ0SIePBB33KvuSAoD1iVsKZrCLyu3hBq0o0UJkaZwD3EnUSKq04b3YgfCCxxJaEsH72jpSFkockZTz8iCcYaeyKECzxRCjjNU2MQ5l3x8mpZ3JXe2hg+UmAeKhbBwUCI9OQnFgk56CltgzAKluiEoZkiyOKTaTqZIlwVkNTJGVoouIawZ8SFA01rtzaZpPFsBEtnMahAQmNgbVUdYxCY4yQRSsHznNyUYyRJdsUlmE/9MYmO1GjnBkBSHLslYmE+bYBTNaoFFE4uQY8uG0SJEFsRCiqUkUzQ+Y5X/s1S1Nfj04I128Rmdz/oWapdQBpJlssCXzuPIXFLK7CiUmZSBc2QIYERo453MZfwTECxkgjguZVCa1lpoPRaokfdUkBsLMoiPHOw4AHXne2DiE2GbqjZyzvDlhd6VZAkHMaZk0SonoCG1yM9MMkVmVdMbz7/+7rOvv/fsa+889+o7z7767nOvvfv0K+98+NVPTXXU33MCLPE6FRkVW4ypqkiNz8DOZ+5Mc7fvfh779MtvP/MKHt576uW3n3/tnZ9+HVteCZvuzZbnXDW++2XsdbfcfeSJo44+adT1t9370x+TPLWL1AghmZQ9M3Rnff79L6++88lzb7z7+4SpFrurzNAnEBbbIKBxK1hGMrmVm125u3vixMlnnnf5Uiutv+KQzTbffs+Hn3yJ0/QwdJDK+YMPPtllj+H/XHOTlYdsut6mO9xx3yNq762q9+hzLttt78N32/uIPfY5Yq/9jth7P8bD99jn0D2hYYfsMezQ3fc+ZO/9Dn/m5TdbqWOdjbZZaa1NVxyyyT/X3PjNDz7J4V80N1GVKBSLHuKCGPmKzRmDy0FnJhYmTD3EojnGgeT0EEkcURwmcCkWDgCmkNA4XRZGqjHyMBeiMI0QXrSKRphATZOQFlJwMBbC6OHAyisOOaAOd6yTV32a7QO62mdotc3g7QO9bYZW1YtvVjlzHOA4WpJzszRxcifr5Rad9/Cdhhy765At1lwKn61mRmip4gMSYYYsv+jIfTc9df/NNl1jab6tTensylhbmjyls3dbtf16K5x/+LbnHbbNxqsszr2a0tnNWyTmeGcs+2EfiWuT2/p3tw2AOhv9u9r6N9v6tVIb2ZtK9qBMDPjGythqrBDJJKMjDZ2RofElhHfKtvanX3rz8edef/y5N554/s0nnn/jiWBee/vjL6byLs+3r7ioODd24QkXWbyISbgzpRbfhapeH3/5wwmnnb/aulstvdK6y668zkZb7HzJNbdO4SeDqpdZm5wPR6LF6aS2cZPyrfc8csDhI3bb76gRoy5++6MvuzNfdUgJ56DkMjduSRo3ufntLxM///7XcVO7nVRJXiZ0Qlsjywr3uOZQuYieO7ubZ5xz0bIrr7/melvtuPuBTz73mthFwCVe9My++vaHYQceueyqGy272karrbvlLXc9yEPqVePO+x7b+4Bj9z7wmL0POGaP/Y/eY98jd93niJ2HHbHLMJgjd9v3KJZ7HHDMw0+9PG5Kc/V1t1xhjU3+udam/xyy6Quvv5sTn4FJjvSiVqbEIsJRn0iPk0glcbK0zEm46gYLQ/qBF1Jn90hqcnMzQ+WGwIWuXrIVGM/4EoyiBYQZlGBNxAxe5EJUaoPEAMj4hzBY/FrMcqMFRrWNKy4ozyyRoGzYOLpaC5Br5LIitrjqpIYjM2NMdLBGBsXWEFpYM0tW/qk0pOKCmVG48GBFiq0AKS4avkyo6cxFg87wa2ZhgohEkElggpBGdrnwAunG2ENm9QJtLXEmi0xdoXGWmCgWlK2Fs2CJApkyT6a7gYzUs5kVLYMreMZiGoNL2U0UK5ywkRDSkbko2jTyuP5ZIiXIJc4VEqYms6hPwtGESVOarVavjkZHnwGvfvrrAadde/+z/21465R9tjl86Ka4Hz9hYlezmcStyZGd40oSLIzJ3XDHOgRg2F1y4mQXSiM8HCjiY+MdbdXIk4456eRjOwYN/GzChPf/GPdbzrvvveu1l49ZebnFK7YGFnOLFmz5EOtGACJxe9wMx2gkUd+s0hKJygV5jHErkMfHB3N+4uGnDV6XnASAeFb8h9MOa2IMN14CywQkhE4APEFyhKxkuURnb7FLBYLNSS1AxtIU4UCiMfxIItWAAwj3HHoWcMtu2ZQtuQoffpVlJJYxKuTOcvqm8GpIlOPnpAozzKeFcfGLGFp3mdzMOVl0sWCHMRm3K1hHFUQkgSACExFbsYAlcA6W7AmIOgdS8d0FkfOiAygXT4oR3+QjrkYqIFf8v4VkN1ESoIAKzJtuE6c2J07ppgQEwBFpqvw+JjaNH9CpodRLVS/nYwwfGs2IGZrwwtbMYTxkIiIr95DUwnDK5vECTauaoaPuMbEXFCJLVlZ2hftg8Oj0gDJjarBW4uLeBMcQkytMIpKk8p4Vc21rns2ctdzxHuGIhyRsSbQVsOBVhjoMSBAKvKLhGiiIYEIgM0PLpOhGk8FK0ybChWcX+5RZASMIUgxIwDoaNxj1NNZwkQVSOEcbRH3kVBcRs2olE0xUN8SsmEreInqIqUU4LFk7I+gk3tNNCXSoAiWaRcNMPXKXoepxZoYhyoxbj/1ktlMqaQEzleYKKbCYywQDkb6IByeJJ0ClxUt9MCZlC5+KfSmHzGGdDNEhjePDNzLSwRkn4QFzmYLhVoNy4cSsx0TsFk/O6x1c8ccM3p3nCBBG2QsaIchwSASc4BW9PBPXWIQdDgyQCSEihVYeIjmblqgpHoG6Y9gUD5Umdtv4rjShWU3oSuO7bWKXulrZVewxowBVZValkgVyLFU3FmI3vHh4yUsBSSZZlhGW2mRTErOpvFZpWkuFASbeY9yMQCQfiUmMMeDdQOFB006jJU1p+cSmTWqmid2aDNOtCV0+hb8wWbyokQHlwAoTxw8v6qlCmJUMRySiWP4+Ycq6G2617vpBa6+/1ZANtlxrgy3X2XDLU04b/fu4iUa4eCmpcwxndCdDkai5LNJyiVfz7J2tavtd9x+y0fZrbrjtGhtss+ZG22+9036PPfNKZmPuvGxO6c7X3fLvlYZsvvv+R48+/7Izz7tkl2GHLLfKug89/lwr8achE/88m/PKp2defG2N9TZfZcjG2+20p/PnJt54rIEryqnyQdNSvOSTTyGS4npnz00+mr/34WeffP39q//94L6Hn3rw0afU4PO3UWG+8HW3WlOmdn7/0y9ff/vTN9///O1PP4+bOMlSwxpt195y+42333P97Xdff+vd199y1/U33XXtzXddf8vd1998z3W33n3DLXfdeNvdN9x8x+v/fa/b0w+//P7Njz99+8NPX3/342/jJhiFktzJIUpDgWXkFVnRzbJ7liBmTtiVrOgzoCCPFSbO7j0EwgXPAmIsQNVwJQDCowcII+aQABMhIoJRII8WIcwA4BZCxCkyhiVHJ6zRkkyE63mdiMseS4WBwCcG/mrR2b7/6feuufv5qw09Z+Wh56yy23n/Ovamp97+NVftqarAgjd2FD2lKmH497/Muus6i++1/pJrLDFvAzXaBJCg4mP4En+dbZvVF9pujYWXW/jPnCJKIJKScRL2j3lm2miZP2+47NyL/GVGMk0JvZmhV1L8zVRetdT+0kdjtzz46hV2PHPZHc5Yeoezlt9p9K4n3fnWF5Nb1q5ETPDsFaoZduriFrLioHrIPFxKPDLUinuVOobudeB6m++47mb/WnvTHdbedPu1N9luvY2323/4EZ9//a0CE5ZmYq+YiWZiIS5napuSq6tvvmfIhtuMHDXm+Vfe+OCzL9/9+Iv/PPns/gcds/QKa7390WdNnn3DSxxLS+mFV99Zb4sdd9rr4IuuuuHaW+46+Yzz19hg2ytvuqdp7TzgcVjunElW+uDTb9fcYOsF/r7C4ssO+eLrH8oGK1PCnyTKYkzyJE6yBOB8YeV8yX37vU/e+fjzZ15+45a77rv2pjvUiPrk1AYptXdl/fjL799+/yOX+Zsffho3YZKE2/Ynnn7hmptur+naW+647ra7r7/9nhvu+HfQ7f++7jaelHuuuenO5195c2p3/vqHMP/uh5+++vbH38ZOcPF5hMFKUjnqpuCTMZp4FsVgXF0WcWtlVASlO8cEykRjN8xOk8JZPFxyUMUXgwXCi3vsTUnGUxA+MADtmtasXhWBhyUAdFEhcxjPxsz9oH5xwFxKEDyMQgslMOQiN4ydBFkjlrBCaDDk5bE0M5Uzk2KJtkQxOY5BgHV8MzEG5wwWjgFgEgpnGfhAhFa5mNfLGkZVAhVoxNhj4mDpJIAo1riDi60pmuEHCKyHNthgyDYZ4ZQlsHj+XzgulAutih9DLc/wMv5lS+VNpOyXFAChtZjwxw3GDwviUMkQG7aOytTCCdeAOoe2BknoYPFcGDSKHmXEkrzYuqNV4m15wqRJ7mrr3eeBZ9/618FnvPP5d3PMOODiE3YftsUKC8w+kOd/wsQJTX7fI2WL2BITIVuGWfiySDv2LFYyGUqOVqTBbYn/dR0jXZkYMWnlgf36Hjp8v5dfenaTTTZqa0uHHrjP2WeevOB8c/InLRIzx5J8yyRyNnPnPoaIyB5XCGdoRItVICN0BIR3WZggaal6/Z2Pt99l/4233OWPiZNdaplNafGBJE9ppsndmtxtk7s1qcundDsMb/pTWpratCndCX5qt3c2rZvicz4iCaqZ/pgw5Ydfx37/2/gffg36/texP/46jt9G+emT8dtfxn7789jvfv7jmx9///rH3779+Y/fxk523mEtkiMxagULkXvOeWp3njQ1T57amjSlNZGxM0+cwneS5sTOkCPk64m7Y0V8YP958qW7H3zqV35X7XGBGwpjciO5zqxxU5vjprZy/brtGHnYGmPmDf3V/374+HOvTelmHYUTOuel3Lk+hXfF2bVAu1J3M03q9HFTfEKn+N2vFai4wRgLoDRpytS7H3ri0ede/fGP8U6JSJTCywTPh6NUuTCTkFoAABAASURBVHF9GtnaX3v7wwUWX/Xvy6714hvvtlIDV9mtZXxQ4+NKozizCZOnXnjxVYcefdJb73+KysOVCOSSRQXlBDZFoyCxgHWiyVpwSc4ImVoIzdzKnUxlNJkVXVTEFdY4wTE5IweLOqpQr7NUvPHzN3UCHSbgEJtMULnLLrw6odTTvOhwm01xUWNpgYIptrhFQ+ggJECFE4fNMhmtFU6Cc5jsBeHoWQElLj6KULEzM9EYTDgOFbp4YFAkPuaEJINQMDG4yo5EhojDMVMhT+boAIWn2BXazJIu8HgkBgWEFxcBMTkh5c7gDTC8kigXEgoJ4RifHoowdOPGWcIYh+iEEdskdxP60AKB/T9FIyVQmaBOFDw5HsUuw30PiwVxxcRB4TRUrBQFUCQtGvkyGiAlGS1WGXSQeeEQkQ/ODWF0MRgdE3TBsAIKCk+IXFEpiwEzsbUsU6wZE3PZSvGmsjczoVa0HtvIGc+hdbLz8BNqC6eYwwOxEAOLTHN21+NPv7zNTvtsvOXQTaCtdt14q6GbbLXbZlsNveueh1qtlkkJspR4a8HDNArT0nFJmcJ9yVKENR5ckyy6VGaJW2GS6CYDICPHQiTjouWyKqwpaoMMlNFJAWVRSVOnTD32uNO233Hvbf81bJsdh237L5i9t9953wMPO/Gr739ST1jDmsRUZi4FZamsMr50pcqTiRQs4RFMSzzr8T8Bwrtgk8uhygyAuVMfU1xEq73FFFzxGkyO7VeNq268/cXX/ltvALEUryXh3Ipnazz13OvHnzzqux9+RtgDM33748+77Ln/m+9+rHidjRIS/Nexk88dc/kPP/7S0d5+7DFHzDjTIDdassTVLPHLUFcEhcULb4tUszLP/Hc//UIIlTbbrDPnZnPSlM7nXnrr/kefv/eR5/hrG6+PAEib04NkBmXPFhHgS8K8qnoUpFu8dKlbwnMTGwcL0KgJ5KKumJALBY2Q5o5OKFhZ6a6eORjKJY4WhYjL5HTqEcL6gjgSKhFPvvBj8ARxh4njsmLnBDEsDV/gpViQhcMEiyHGmGAKX0ShMgaZGbJw4YDwHBNcIQk9m6mY4bz69oc/nn/ry69+mfzdH53fj+1ifPvTn9/79AeuSiJJEy1RuqqKL1oJO75QeYd1t6urciqHF0AmE0SopNxQZ5U7zamolJLIPLbJZng2m6iSd1rmVopUSctI1mgsnUNoeXrj3S/e/uzHb//o/n5C/nGifze+9fpHP3z63R85J3fQIE1YEo9JtajmYrTQe9RTsiAzkoh6VZwQ54EdI0QS7DSeg+itgAgTjJgqOgveVXPV6+ob7zr0qBN++uVXq0GiWe3nw48/3+Zfe7zw2lu8H+eUwH/4+beHHj3itTff4eKCE/uWxk6YeMjRI/79n2c8dZSM3Uwta7viulvf/uDTpmuLLTZZ4h+LyjNBJcqVMghikE4yTByGsw1EpnW37LOvvkEPmHGWWWZm7Go5HyMefvrlh5955YVX/vv7uPEIJWektmZJqbKUasdUw8Ux4+D/Uk+YjCyQsU2Hl1rZjWc5tTNHMqnCsSn+BSBeSSrhmiQ5dPG+YjIPgWSiZTRMIXQkFqiiMBTmoSqd3ZJzUI+M/MNNgWCETY9CXkxRIgsDiYN3pGXh4rhYmKyspUwZgLBOYYtYEjC6yIuysygWomVZ+GebkXqsTCYovIBV2EYHBi80RS3CmlLw5Fy7i4OFk2T8U48FL9L1UjSju0XzYOkWDBmZ4Y113H9jHTEj3WQ00gveQ0hgkKIBSyV5tgbvAUELHj8wAcvgUDAi0zS00ELYSYZZdAdekAx4S3HYknpg3AtTtJwpK3lk91gmRg6TEZJlImBsJpNgOEqwycyKQEr81JImTJyI4JdxEw877YKJ3a0VFpnn7EO3X3eZedtaU/r3aWuvbPLkyd3dLcXPKElmMtGSgv8/aSETSorjuTAE59icx0phQUYU1+kt8UPe5AlvvPH6Z599llu54kcjHk1Azh0mwwDhx8IRFyELB6TvaC0qIDAhigl/ZUn1iIYPVtiizmbf/vjH8SPPefDRp1ZYYfl+ffq4pd/+mHT+xdfufcBRw4Yfve8hx+936An7H37SgUecNPyoUw4++tRDjjn1sGNPP+K404886cyjTz7rmFNGHzNi9PW33afUIYK7ZaVd9th/oaVWXWipVRZZatVFl15t0aVWhxZZanVo4aXWWGTpNRZeavWFll5j0WXWWmTpNRdZeo2tdtjDUjsXyV3xOKSeugRv6bqb7hq67+G77n/40P0O323fw4cOO3w3mP0O330aXXjFDZOmdnlutlrNH3/5bfe9D95lr+EffPyFq4qdphjolCFXbS+/+cHGW+40ZMOtvv35d1kAqCFh3ZMs/fjzHyecMmqDzXfgtyorWorGlUlOccmNKxJpZqmzZR989u3lN961235HrLfpjhttuesBh594093/+fKHX3NqyzL+cTjf//T7tjsO23XPg5567jW3RjH2sROmvPPRV29/9M3bH33930++/O8n37z9yddvf/j5pK7W+Knd7374+QeffQe9//n3H372/fufffPeZ1+Pm8RHg0ZHR1tH3z78FLv3fod+/f2vToYpGY3ULLFHIwBHayK6aEbCUczIRygkzkfTWmy7WISKqxHlF5ZuJkQYMrtSQsa6UAwoBMRlbkqsPKRUSmWOYwvGlEEVMZ7xgzeJIR5ILOG5usU2cFYjkcKYciCRg1d4IwlWsGgr5RC7QoICZx6a6I4wumphCkjI6RYyk4W70LpbNkfhyJwZym4GLjiE8hiUWFI9l8gqxyIYJIVFiwls8YVJUKKeCmOiGTPdlUxSPJ68JwseM0ZEGaHDIsAYWJwjchmN2bJKUsBwYiwgE1hiAgdSKPNWg6RoQEDYkzZAFXTPwAIYI5RAMQEBCynWRIsUrPDhQJIcbUjoZgjoZgywlJIRqwhAx6RWKDwICf4RMsIHU3PiDtE1vZlh5/Tpkh4H09fFuGdVeKfUwUR0ZozNgsf1cy+8/PhTzz3/0qvQc/X44qtPP//St999H1Z4KcUDaUZMr4vCziESBAMk3NPjuHkTcfzHCkVN2GFfsnQYxxFOTcw1gDHOjcmNQZEbjEchePwKwRNP4jXs5dfe/M/jTz/8xNOPPPHMw088w/ifx5668ZY7P/30i4B4HdzMcIQ7JhNxCVFEZkmpqiNli2exhUUhduDxsTLzWmm8OAUFkI4L1c0JkJ37TUrW9sk3P552zkW5VvWMJC4RTpbdmt644pqbf/jlN6S9OjrWXmOVlZZfpk+vXpJ++2PcKaeNajmPgpzcqo4bb737sSefzdlXXvmfW26+kZpduBC+ZFxrMK6kiCvh37BimeAtNSZ3dn/x1Tea1ub/61/cm7+PHX/kiWdsu+v+O+wx/KiTzvzk86+83mT2VjN7aZZzW5U6qqq9rZF4LcO/erZryXp1tPEG3mhUxpZzy63YsxnXuPETfvpjwq/jJ/HGHkako6KIUfVVEa6cLhrPXnAOK7FfadqIgan8MxVPCEQoFjJazNM6fo28Y8leFHHCI3wYUBbVHpggx14OwwCE5BEYHRFTGcMubEIvhHE740ya884+w4E7rLjflivsv9WKB2y10oHbrnLoTqut98+/tqHNORe8kwBBw4YQomJWpVQ1cv2s4I5sAYAzpWRmXD+OLJnEAhIfCxQteAOCVib8xuiSjJc38bU68x2sNWXN5ebdf+sV991s+f02XQE6YLPlD91hlWUXnKXyZlI2E/9S+JFgFQI6mzTWxZ0Llh1TSkko6XU+MJreHIiwQ5CLAQMmFqBaJ1NVPf3iKyeNPH3i5CmsjNyLnmuiae2zL74afe4lX//A+3FDVfvtdz/42lvv4MCkJRdbdK3VV55pxsFgp3R2HnXciLGTpjhfyUiqajz70pvX3XRHyzXPX+Yatteu3uy26TGULIIlUScOwkSyPJkUW9zrrD/GTvjsiy+R1rTwQgvkVnPchEknjhy1xXZDt9hu130PPvLd9z6stYzY4hKmkay9kdobFZTCLbIe4ino3autV0d7r/YGsGT/D/U3333/9nsfv/P+J/z4LTMKZynBKPK0YNgzYQwdDp3Eo7rgIIulswc0jGYMiIvEnCVcUTG40MrMRJVN+GFWT/OYQ0gXKtGQQQIuCTMZ/1Qa+VC9oi1rYzVdGeYJrIUKhU/TuBRuyLEQi1hiq2gu459kZqIxxKlgD8e6mNRYoiNAw1jE0wpS1iw8GAaTBUdnUeTT1kUUQoWburTIphER/h9I5AXMXKeAGXwQOCg4UpkGqpcIalzZETqvkYyQSK44QyGxUOBzGTkZEBkNk5kV7fQs0dYCDAy8rDxooKVSM1MP1hDAc7UnjBsvxRf7pmvNFRY/Zf+t11xqno6KnzLUu1evPr3bOqd2Tp3aCZhodZ7T/Yl18esweKm9Jrhcv1wR1WQ5DPjo2RK/tuVWq9l8/IlnjzjqhHfeeX/JxRdbZ8gahI9X0ugu45sBaWc3tlw7hpEMcpUWU1SIbopzwpLsio4BSTaLn2xue/KZF9ZcfaUdtt6kCm+aMGnKs8+/cvs9D95217033373jbfdef3Nd1xz4x38BHPFtTdfdvVNl1x5w8VXXn/JFddcdPk1F1561QWXXPHv+x5y3mlcxJdscmdrwpQuT23z/22BhRZeeOFFFmZcZJGFoy0Cv9DCiyyyyKKLLrjQQu29+0zsbPL6Ix7YTE4Q5yLVnhg9vf7Gu/fc/8g99z1y9/2P3HX/I3c/8DAjdOd9D99578O33/vwo0+/OGHiFMc0O+8Q8XMSybDv+tspm1eU3sW7QMVfwj/+7Mtvvv2uT7/+MoPcKqWGpypX7V61i99rUipOwgVeVZozUkhIlq3t6Zfe2PeQY/kB685/P/TeRx+99c57191857DhR/Kl9K33P/eKv0QR1VOjkWNDZvw4pfDRynr2xTd2HXbILnsP5zvhLnsetMuew3fZY/jpZ50/ZerUiZMmjz7/0t33OXS3fQ7bbdhhQ4cdBr/7voc9+/IbWamt0dhwvbU23nDdd9//8IQRZ3TmJL7ey9ziyjoZskemaUkbRQlhQQSDzpiNOZIpfD0wIoUcThgoWu0o0LEJZrSugkAdaIUkBKTADQuYIhnUKuJghE0UrgfACh3W6ALD5HSoZwUHWTEJ22IHM40szA0IZOTqrGFLcIfB0FTL4mMLy3oB4H9RrcimV0g0d7MAwwot2ChAdIkwqFwAVDf3mGOEiTgswYaAQCwgNPBGDwpVkcSiFoLBc2wsOAmp0Pag2HhdTEIjLrAIASoQ7qSIHB6SWcDgoFrKWBMGoSsLHEgIVLcUXrFAHxqPdIrayaPA0ITA4woTQnR3oSI3B6TgHZSbmSAxFgRaiZW7gTPwBmOWEAbjRCx25AAWEg0Y8li4ijZ2CRMLiwE0UyBdwZiZ8I9RWSXn+ecxNvvXtpufccpRJxx54ImEI5DBAAAQAElEQVRHHnjSUcNHHHPwqSccfvqIo1ZcYZn4dC3gYRn+6DhTtJyzUQWSQxgCeugQcMxEMYIBQCwis4IKZz37BB0iAQKg0mLPwYQCPSxgntAYp8s62tt333X7k489pNDBI4495JTjDyHnC88ZueTfFxTfjrArFC6ijqSYVBhGh7GGWaNqNOacc46/zD3Xn+eYvaO9zawnAsnLW56byi3jnQZrl/EPIpFQZ8vBZbPOXJ174dXf//RLCVgPViYqgSWffNNvYyfy3dXFC4/2GrrDmLNOGjNqBN+jKj5Qul546bVvf/jJOdDU+O97n4w69+KuZmvWWWbeY9edBvXtbbm824Wn0s0sCptc5RMQVmRVjtIbba+++e4vv/5eogvxP/6xGEFb7p1N5+f8rqyuVs6RV7hgZqXsanWPOnPEdVdeeN1VF91w7aUbbrB24l2Agpn4THnS8UfddN0lN197yU3XXLzxOqs32LnoWOPbzhx13g5D9z96xKgffv1DkRqekUd0ucmCKevCAKiF5I6uaIUniVUwoS3rsEle7y4KjpLLjYEENLThXiLLpGgJMzMjvHltBx5FjAiwZyFs6Vjg0xXwMFA0M8MbMkNBdUUD1a/RvfN6Cx20zZIHb73UQdssc9A2yw7dcPEF5hiQuCFCD4qpeMEOc9iqo9k+YGqjX5e1h7p0cwqdYVupvbPqNzX163J+bpTxz7FxGJc1q15TG/2npgHdanfQQRxZ03Ortvecq1bX/DO1Ddt0scO2WerwbZc8YpslD9t6yZ2GLDDX4KqRcoOzw5eZpXoSbLj538z+Q+AguDmGQaV4KYj/I/ill/z7EostMmjggGlWsTsvG418jOqEbV1PM3ibPLV7xIjT//hjfM5OkqiWX2aJk4478oB99phnrj+DkKnVyvym8+TTL2QWVdt9Dzwc3qSV/rnspReM4nHYf+/d+vXtC5gfC159/Q1VnH7jt3GTDzv6pLHjJ/J47rjDNosuOD9lNDP1UMxKBpkxwiGBk8g6tT3x9PPjJ05mARlf6pZcIjeb/N7f2d2a2tU9pbNrav1/LIc6DEg+iw00m0N33u7aKy68/soLbrz64vXXWbOqEhA8DJxhwIiTjr3pustuue5SaLstN+nd3pZ4WlAXuuSyq/fY97BjRoz6/tc/eIUxK7Ulo/+RZM7eOW/932ZkHAqAcB5qF9VmkFDyoophSVPK6mkBg+V4es6lR4AMLzGWTuqOI48FA0s841VGE0kGIzfiUHZmGEASs9PNGEp4sEZXEnooJmcAFaUji0CKFpJQoI3YYmYpZjgkkTOLIvsfnMsTkPCMMCagCEE7gujCxONN3euVaOQHFgEMtwAFhIQAhWGAjR0AABYm9JDhTSG0GClLQKXYBd3ZqNgvQkNYtiehjc4OEfYsgpOZ+GfsgKMs6iKp4+JDdUMDU6siBRd8SGDYaNiL4HSE/yMTmZjxSjBu3LiiDEfmrV69OpJxDYN6d7QN6Ne3u7s5acoUwxYTgTXDYUnfDDHdaE6mKIkZ14sFDmNhaikSy1I2tdxzd6t1w423f/jRp+uvN+Tc0SMXW2RBd+9ueYvnJZBYyS08E63MpjIpmjGYxejZjNqwVug5ipIDs3JK73z4+UWXXTfb7LP+a7stZp95EFtVpjk/CRJn5ZVWPO6YI0887qiTTzz6lJOOOXXEcaeNPOH0U08847STzjj95NNPG3HG6SPOPP3kM047ac/dd1TuNgIaUaIsJs0/79wXnHvmJReMuviCsy65cFShsy698KzLLzzrMuiCUeePPvUff1+EfFqRjqY1toaMFeVjjz501+2uufQc6OpLzr7qotFXXnz2VReffWUw56y26spAzYyoMNhwT3ucFTcUrciT8+Oapa7O5qeffj5+wsTll11m8Az9wTdb/sY7H959/+N33f/YXfc98shjT/3yy68mysCJoJdxmahg5BJ8EVW/jpt8zImnP/fiqwvMP+8ZJx9z45XnX3vZuYcdtO/gwYMfePjxQ48+6Y+JU0VWpC+VBOqREwviOn34wYeffvLpF599+uUXX3zx5ZdfffP1r7//TratnL/59tsPaB999MFHH30Y48eMv48diyfu1CwzDeTVcu6557z9rvvuf+hxpYYMDUGgkp0isMliESNyMyxBxeji0wRKZ+2hj9kLmMHRhpA6Bhgcm0cu4SKIQlKLIkQpU6xcNIYATHulMkThgknIy6mYjKUxImFEGJ5M8BKD01GFXXTBC61iJhJZQRKXsxTUJWpGSh5l9UAGNBgHDu9SMOAyHZ6xwJhVQiSERcKQeFSYkCiaOxDV9qZ4sg0EAikUZiYpBroZ3lgbzQ2m2AZT84wRCXwo3EHDuCQ4CA4yZdZSPbBHtpuNTaonXy8aas7skgU8nElFQJQIqbrBYitiRe+BKcyEB7QFxut3zLwbl7MIC3mWEgqqW9YMjtaZwSIV4aKTX+EU3qKTp/Po4R+ukBjRQHAUmCVMTT1CcjKZIJIruUksjB6zE7dAHJ0hqc2KtpYompuhxH2S0WKcf545hu261aH77nTwvjsePGzH4XvvcMBu2+23+/ZLLLpgsgCTJyk5N8qJEIQn9seKEZWYXKHn0sGggBHingl9VoR2j1xc4hUUgTvFCveUUlg5nQ/NuIQjSBDVsyrScEwFSu3tbdtsut7wvXY4cI9tD9x92+G7b3vAbtvsu9tW22++zuD+HeLbUVhHDzQ+zIp9OMeBmcli44MHzvDMM48+89TD9/379oUXijcPsFBYuvEKII4YQmTmOYtksXe3eKG0bKmV2p967pX/PPqU/tcMiJREti7JzKoff/qFH+ck9e3Ta8fttpp3ztkWWXCetddcdcbBgxF2dnbxcobJ1KYddfypP/3yB2XfYL21V11x2fhhL3O3Mz7NpChExZjEZ2Q5vyE57itVbap6WUe/Cy69ppkBi+auu//9YEttLVXO+v+fkAKSq9Ucsso/N1171Y3WWXndIat1dnYqVUnc7dTR3rHiiitsNGT1jddaeeMhq8w395/itMKqdudvvf3uU888/+qb70zp6sZfVMwstg6mJqmUTdwB88IiJ6gVePBidwhiNE6bpWSJpTEXBYx46sUxKASsvZRY4HHMmK0IcSDxAmSihRNhxOExkoGBlSsTtaRCCk6ykgiHQgFThDAHDjoIraWGUZOKsc1Se5YpnIMCLbMYJd5BuXy6/bGXN97/3HX3Oef0q+7vlnLm7uAumM6WLr3jyXWHnb3ePqPPuf7BHHZom/TsPqGzeeY1D629z/lr73POpXc+0wzbVm61FN+30Ucy3oKBxE+U1tYrtfexXr2tva9VHVVqVCk1GowyNlS6FDWP8DBBPEsWQlFM7jBTveS58yuuuvT+e+7gcVhlpRUqs5S4iT3m5qJZPNAhgReLSETPPv/yf995Hzbyy/7P5Za+9YarDhm2y8nHHHzckQfPNsvMpbIaO2784089+8sf47q7W19//Y1kJttyy00XW3i++eaada3Vlp9vnrmkwL77wcdWtVmj45wLLn/33Q+JvMySi2+20bp9OtrFnecpMEzJDRJnKpmkxMiPF3H4xu+4TWs778LLsUUFwTz7wistNZotJ1UkkNH/Dzml5mo0O/++wF82WXuVTdZZZf11VuvV0Y6BlcRardZCC/5t/XXX2GDtVTYcsuqC884ZfwW2SoRWNP6M9sbb73742Zf8XCLqDyE2q/VGjqKxVpFQyQTnOPfYiJlJoeFs5EhZg+EqojVaCCUQgRONrXCTYeJ8sJomx7YQGgjUdAVMz0sEt4/dcjUy3kGjgTG8Y1JT5smK6JwsAkMHnCTIjXWQKfABK3MoiggLePzjuGgkprAWEqMpnuhY0GUYKSLBQIhCQDdSQpticpmYw3VsV/+Pll3o2CnPG1qQ+AtyrCJukai0OkIJByIAYOQZZVyngoy6g2MHEBJGgYIrJs6CXgjvEZFJNFeYWRwGPgIf3VNCF6YWaRa+DCwtxFSVOUQlkltZxRAdBCoSzGrm1rg/xvJ3ioaJm/f4y+/sfvyltzz238nNNvfUVqWB/fvzd+CxEyfluH5uRA4XJOThhm0yI3F+SeTgXPAiqaAa4J7NW+Lex4sW16VFThMnTnRpjjn+tMDf/pplL7z6zmbbDn3yuVcJkDGb5kQ0j407I0Jn31QnRnmKlWSGQs4/eJySBbpGr5Gnn/vHuPErLrf0WquuWOHDCU1vZZpr1ZVWOGSf3YbvudPwPf514B7b8yll/1233XfXbfbdZZt9dtpq2E5b7fWvLfbaccu9d9567VVXED+VihaBjK1Lffr0WniBeReed85F5vnzwn/508Lz/AlmkXnmWHgeJHMiX2j+uWfo3wcDp5Eb+XkmNfYhpCbKadmXXmzBrTcZsu0ma2276ZBtNls7mI3X2HrjNbfebL0B/fsQMqWqarRl/jBlDTMOyhEWSjlqnKiYjKOrfpsw+dHHn+J3qKWXWZoCyNIvf4w/96Irhw0/Yr+DjjzgoCNOOvm0jz76mHQgMsIJDFfUprk0JUsNvga//c6H884z98gTjxq269brrbzUBqste/j+ux118H79+/d/5bW37n3gEULz8pVzyxS7EY7cs+dk2mi9NV5//pG3XnjszRcfffPFx958+ck3X3v2mKMOa+/o4Neli84f/dZrz7396jPQO68+/farT7396jNbbLxuXCuLyi61+KLrrr0azs8fc8mEKfw1NZFUicHgMgtyV7kkLGBgxZtPVJaLwYosTOLIY8QCVqFlibYWxDrSLjLhr/jECgHHVCSiTS8OfGwRZHCm7OE20KwNvsdjbelUKDCUl5MnKqAyOowFhhW8e6TjgTGa6KE1UDVAPQnEFHhZjoKEHtOoWLCB92B6OrwrhDgJkRMh5tJjYTLiOGujhySQOSpCLhB/EAptZFpsIxJQMxP/LLaPHsKcUtQMPIyRopvAiYZvM1b4jLqGQ1ZEM0cMawGsJOOJIIFyhLEyXInGZPCGJROCICTIZfiJJXwuswMjove8HfApCogs1XiLRZSPYzGMSTSspGmOMWcBWJFGQEBJZcVkrMxMyUQLGIHriFSOBEnHPBctVcMbepCIVUzJqxQBNHrRAvu/HpugmjZNWZuHw8BEADLFrcRrByn2aqugPm1tfdoavSvraKijqhIZqjQnDukBjGUtztQ4ViUn4vDYMkpoIVheHstKdTMSLmkQ1mRJCATazUy0+gXIyBGUmaESg4LjJEBAuGWsTO1V6t3W6NMOkbl6NaxPw9qTK/MmgQ8SjsTMcEGiTjQMOcaiQBralPPMM/SfZWD/wTP0a2twdQJCL+ockVnIpg1JUVJZVZGzeKVR2+/jp153y13f/fATGD7jzvXnPw8aOAO8RA5e6pxMxg+NZoYcTHsvPi9myTva2lgiDHJvebruhttfevUNV15g/nm333aLQTP0Cxs+A4NwEi8uhK3ckuLblim1BTV6dafeESGJMAAAEABJREFUF15+4yuvv6VoFlmbTh45ar/hR//86/hBAwfOPPNMs84y0+DBA6cHdZKIXk/xwZ7yPvrEU2+/+z5nR9XY7viJE7fYcvtLrrl5/JTOzDpbNA/3xHF6IYQVZVES20WSA5Ajc4pmCApZ1B+hc5fYD3GTHINKgjEZjBxeEvcSGEmYosEDNFKo11EN957bghOhRQYUvXEXjcMihtedz99oUSUQhIArTGyAy8USziJpxAbDMjg3m6C2qx/55NjLXj7ykheOvuj5Yy9+5uybX3rri7FNNSSgorlbncCMg2YYPKBft6qvxjWhiU0b1L9fr7aGON7chJ+hf7+pufHN+NbXY5tTWmnQgH79OhpVbnqra6bBA/r37TOxmdB+O6HVadXAAf369203Nd27na2zBZE8vzlXX/zhZ930xmEXPzt8zFMHnffUkRc/c/kDH3w7QVa1tVVxlSuzlJLRqiRLpkpmUSiPrdFNSUpmJsFYtKyBfXsNHtBrYN+OtmSZwhCUESI0I0tzCw88aRxkYGTpsSeemTS1U6X16d3r4IP2n21Qv47U7F21ttpknaWXXMzMUBL0xZdf//GX30RicVtw5IMGDWRPqHv36oCAQc2uVk6NF15585Y77uPn3IED+m+1xcaLLDg/SRkpRw2wAEhaJFR4S+JrWGyz8qq9ab3GXHLt+x9/JqGtSYcccdz+hxz7869jB/TrN3jwIGiGGWbgIVTd3FrsMZxzKfkIkrNEwm+/9wEXn+RBTZg4aadd9jzz7AvHTpicQ5+NfBIa9ESpt8JSZiwRBi9WYgnhUlIyls6QsyGBwxC50cUqbOFLpUNET+J5D38wJqPyhhTGrDDyhI9gAySGqC63H6lHQNDsLmfW4jlEGxI5eyMdeFlRyeOEsUehYsgzz9KMACBqbaTNQjKXSTgMhl5AoTGa6GZikpvF9YuFyiDJuJNSicHkwtbCoWQ9s2hOj6RCKMO1RQuORejo8V7JLkxmKanoMfNwxiKzA0AQRSrbcld5HUWEa158KI27uNIoJMqWQ0XHM6sQyXhJEWYm2GAEkB4mwJRRsLRybD08a8iLgSyEhpGXWnosRXNM0JEGY00hFUWGYIPYHhM3NDdb+bc/xsm0wuKLXHfO8fPMNtPH3/1ywJnXHXHe3d+NI1TbgL7x9+Fx4yeakhHKJRGWTSdFi7ixYU4tlsrUhMqwDBT5Ig0Mx+nOSzAF4NSbSy21OJ4uv+r6gw89/rKrb9n6X7u99e5H1miTqLkUTgiBLZTcIjYqMxMkkxRC4Y0wIRJrpCo6Nd798NOHH3+GH0A332T9vn143csppciB/DhCiXfMXu1tvRqNjkYbxOtqe6Pq1ag6UupI1pbUnlJ7MFbFRpOzI77d9Tw4Mv6JRpIeFY+Z3SEhdV5mWHMZWMpzkVO8YmsWx+DUIPZkvLRWJqghazc+daiRrJGUc+uDD+M/SHbZ5KaNnerju9P4qbm7lSVZilalhkGWWFO6Z5598bkXXpJ03nkX3fnv+yd1t5C3tbX16RMvhr17tffu3Z6qBECULabps6gMgsiqan/o0Sez8yPXMssv8fcOb1qrO7U6+1StbTbfYPZZZurs6nry6eey4pseb/NhVWpRjsGUfYa+vf76lz/N/ecZ5/zTjHPMNnimwQM//vDjG66/iV9du5vdX3zzTXerNWjwDH+adcY5/jTLnLPPMudsg/t1tLEjopt5Zb7Ljtv26dXxyedfPvb4s3zfl5cAksvkDhmnYRaLyNsjh2yMSOQJACCJskeVxeZKzVRa4GAC4WZlFQ4kYrcw4ocF0VCYMbAhRkOrDEJwcpPMODoMg+gYGlDkoiEwMABNJoVdKbtITTQcEB8Uqlh6MppCEE7Ag5DJTInbYpKSTPWAMIpgCKEMkiUcDKMVJyDhCZct7MQw/eXIWJGroqUYIqmaCbSBNcT4MViK58WbE4XOiDJoutaUTMoibQm8aF4cGq6NJh58JXFR4+BYgXcz1DCgsSWccG/hBKELJSYoKQu8IZQVbeECS63wEpCMJsROiEDBQ6HhNjBlZ5BhEDMLBB6IKNf0LSFkGz0w7oLIKAibrGKLZViAIiAqwwky9eTVI+TIEOLeXIxh7mbsA3LDGEkxLrNg6dxW1DCKaqLxno6Us2MRZNhzqaGyU3QEiHg8sWy+aE2RTqBRh0MhUFKQWGdQJlbkhIaXxWDkjGZVopVBNr3JpLIQuVXJLCilZJDhuOiKVKpMJpqVkXCm2EkZYDLiqlJqqGpXo53R4XESsNiIhTlAV0CxD0tOW0kGDM8S2MTrYO42fsMLvaa1EhX09DN1RTESCVcit9Smqq1pjUeffP6Z514GiOE8f5l7zz2GzjLzTPCQSyb8GLFnmWWmWWYcJGns+Il33/fwV9//9skX3z3x9As///KrZO1tjT/NPvuHH3923c23TZg4mXeUjTZcZ4XlllJuOS/6uXhS1BUOEvmbKVVWNRiV2sdN6rr9ngdHnHaOi3AQMSGb2tl93U13nDzyrL32HPr6y0++/fozt95w5YILzK+exvamWVijy9Mb73w85qKrfvjxFxeR4y6wtbHjJhx4yLE7DN3/iRffmNjZImiqUrJotRviNVLqaGuntC7qo5IFr66gJJ5V1iYzUgqi7AUh42xMrhxSYHFuCr4gDXliKXDxcuBFA4wZPlEQ7q9oRMKLEJjYktBadgsjghon584IueMsZqyCTCLHhDTJkvVsiy2YSRWDtX3w5R+nXvbodQ+9dMvDL9/88As3PPj8mJufuO0/r0/kr5Ap4cRoKVmqZLbH0J1uuPL86y8797rLz7nu0rOvu2zUjZeffeKR+88+8yB1TT320D1vuvysW684+5YrRt9c6JYrR+07dKsBvRvqnnjioXtdM+aUK88fcdWYU66+YOR1F5126xWj99h+s75tyVqZ84hXPymbZaueeOWDS+567pbHXrnzyVfveuq1Wx99ecz1j77032+UeAtUMiWakRIZGokFuUmmVMVuLcngGSoz5IrCuSd+9cy8VTeduxci0bx0PkHiljQEnNcPk1llKU2aPPW99z9sNes3cS3+j78vOP888qZyU97dXvn6Q1ZvbzQMJ9K33/3w2edfpUZj3nn+UgR67JEnf/xp7IRJne+8/8k33/2AMElz/+XPf/wx4eprb/nhx5/Ib/nlltpqi03ILSrgmXxc+AMoM6OL7myBX+K5TWn8xK477nnonAsu5WIhLSRas9m67ubbjzlh5MYbbfjw/Xc89Z+7brz6or8vvCCqQrjAURIlso5ub3/7wy/GXHbN5199k5IliwZs/ISJx514xqZb7/rYc69MmNqdqioqjcJcxuR0ZlY8OyoZI4kczLMBqeiADKknYxH3VWaxlpi4pC53ko+LLZrFVRYC+KJxL/jwGqLoPAvcDBzHAgMouOg8FTHROS+VEOa8oxWIpXAcdu4xCi9JmJixRkKkmiE+tccoJIQOKXrRzBGHvQGKNR21anU4CrwRCa/oYMpoANAaC7h4rzQH4WyedUzyUFI4QiOKkQk8BANREDfiwkK8v2JQZ6FYu3v58GPsScAoOaZQohuQsA2d2JaZSZBiVtEmNxhJ5goTNiIhwY8zmWAkQ2uqdc4i+OnC2lkmEzkKKM4XtARPlBxiD+tQ4AqeEW0oVBpv7D3U7G6OHTse/Xx/nnWDlRe7+7KTdt9irRkHD7rmgec3O3DUv595uytjr/Hjxpvhn6STPMm4eMRKwm0QiZvFrmQWM6EVdi5Q7pm3HsWlcgalb3/4ZdLULkndzdY1N96670FH/PjzL7PNPmvL+SkoOY9MlVT8gMGrKUky9mTGyCL8ijWsHAaluZVasfRGdd+Dj3V1d83xp1lXWWk544UIL8AASKV2+uWPsR999uVHn3/z8edfM370xbeMH3z61fufffnup1+9+/GX7378Bc/s2x9+/t1Pv0spInG73COUNH7i5Dff+ei1dz95/b3PXn3vU8Y33v/09fdZfvrG+5+9/t4nb7//yYQJE8t5yrEmdDKDkUlJFnUhI8joMiEJJgkutb37wac//PSbpOdeeHntDbdedZ2tVlt3S76R8p5u0ZIsqUpcI7eGqvb/fvAJf7Yiu1lnmbnZag7dY5+RZ5w7pbN53tmnv/nK02+8+ORrLz55z123LbvcMhi6iGEeA35MEt2lyEvVr7/9npLNOOPAfv16cduTKKxTP5aDB8/AWQLg1c9MPC1ZYSsWbBBgqhAwdzf1/U9jX3ztvdNGjdlr2PCPPv6UH7lyd/eZZ529+tob7LX/odff/u+X33rv6x9+ndzl8XFLKSXhUZ4X+dsCyy69+Pjx45987oXOFtpKLhEuUoYrDzxbdURF7gnOQSBBTlVASuScsUSBOhhqbm65XE4yDhE9ggJwN9xAiAIhNyZjWwFw1FKtlYtLBJmihVBElpkMAVpGyVm5hANHg4NpEpkQGC0kAQmw6mbGTKKMcmOrVAVbUAFigoqOAbn1vAo5m0VC9WIk85gIw2UPO7RmeM4wofEQOt5jgYI1nMnk/Isp639aqmjq+ewleUBKcYKxaTDsDB9Fj8dgHUf4kZkVq8BH2cBZ/Sw5MEeLsdxIDudCCF7RkcVMAijMM2unBwRLKg8WxugEBtrDxKKwVI+56ON4IxRrxVxMYSBFLNUMahgs3MU4rZSFRxcUmydC0ToMMvjYosTGigTrWhC54lB1MwDBmcGhChiTWb00M7QIy4QjZkjRURiRI6CFwKSGqg5v61BbL7VDvdXeB56LLC+OBFjBOWCnvPjIVJGDKDuWmKxuwdccMlI31StMC5MAwPSMJpqb1SDJoHoZrHhSnOxLfE1vIeI37EZJuK232vp6Gwn3cSTxjQtTIBy2uCXTba00eeK6hyvezzPv7i1jhMcipNFNGDEIC5W5SNkPC5MlWaXU/v2vf9xwy50///a7WaqSrb/uWssss4RJkFRGuGRm6t3RWHftNVgR5KxzLjzoqBEHHn7ijbfe2d1s4nSxhRcYMHDgLXf+++34z6X8b3+dd8/dd2rw6sO7HQZ4ioM0WOt5SFzkUCV8Z0/vf/zFGeddfOxJp42bONFktI72Rt8+vU3Rmq3WI48/dfyJI2+44WYufh/+ilLVmtik85HanV/THn/mlQsuv+HQo0c8/dzLrRxnG8aUIVDK7g8/8cy+Bx11ydU3TOjsTrQqJYNs3nn/stgiCy22yIL9+/UBG1kqCXITZFFsL77Qes3ZtDVzGJQ1uh4ttwqF2IpoyBn/32TYoMEiuP+jRc7KaKpZrmBxCNS5uWQVKVlorYySsZVKyaQEX9wyiGbSnLMM3H79pTZbbZFNVl1449UW3mT1RbZa5x9rLDd/n45pF0kynla6NHBA7yGr/3OdNf657horrLNmMGututx8c8/OH7bMm7PP1H/ISsusufLSa628zJBVlllrlaVXW2GJv8w+U8VfqnL3bIP7rr/68hutucKGayz+lwQAABAASURBVCy3wRrLrrfq0qsvt+jsg/slkT8vf7xCR1bEsdxaZqG5tlt78S1XW3TL1Rfdao3Ftl578V23+Ofif5s9hasmaPYqi+0oTsHEvo0RCaM5vKI5pyIGOlFa4pUxguQQhT56mBYhC4wZxbIm2U88AGPr/ym/0Cyy0IIzDRpg3i3n75pZubnMkotVVVU75Gq9//5HfFjccL0hKeC6/a57Dzv25GNHjDrngst/+PFnU/x3tksvs8wTTz735DPPec79+nYMP2DvWWes//zFTTSV5ElXnKdoRi87okTVf9//9IxzLjn2pNN//pXPW2jU1mjwRARIzgeOx5965szR5/7nP4/OPtPg2Wca1N4W3wOLNsA47872n6deHH3RVQcfNeKB/zyOCQpimvt0GH/v2nf4URddfsMf4ycZpw9CQrvmGqvtuvP2W2++EX+xVOYcFLeNQVFoE5cs40fTmsU2YqA+4Z4IeOHlWZamibFENs2CKCgUkBBN05BDiCkqEl47gKn0esQ9DCepaGbTK4ddSOhGY4KMLJhkFiMLGNgYmWJD4S5CFYexBSGxMCgSzGJhUr0sTB0SnIRYpdWrMK6jsNUgIoUGM8Eq5oAjY0lcMPAhCv+hRu4lj+lgtAjNLCQBK6+d9XYNZVDMLiBiYOHqaS5WEQWmcAJUM4QvjBcobM3E7nJspPRpBw4GtU87LAXKkMCYjABBlvCpwhVVGVgXJx4mtc8QSZabXV1jx45DNnhg30rd884+w/EH7DDioJ2XWXT+j7/95cSLb37z4y+crxZjx8U7eCSeRAhLEZGghinR4ECpNC6q4xlpWYaNRamSV23jJnfffu/jBx158kWXXYV2lpkHL73E3+ed+8/J7J13Pzhp5FmXXXfbLxM6va13rtqc92UC8SHPzAthIpnTVZoZK5sWCZGRlllnV/PlV9/obrb+udzSg2fob7wjozCzVFkkbyDvuPu+vfY7dNgBh0H7HHDYPvvDH7r3/ofttd9he+x72J7xv99wyNB9Dhm698E33Xon19RbTW+1PENsUJ989vnuw4bvvMcBO+9+wC67H7jTnsN32vOgnQvtusfw3fY8cN/9D3n37Xd5OUglX+PXNiVFY0ukQjImg2QhpDucK/PFbPyU7mtvvGPylKmoOjunfvXV159/9sWnn3z2zdffkAnQICpPUVKjW9UTz7+y7/BDv/7u+7nn+vORhx20647b8xnigouuOOSI45977kV+XuvfpzFDn7b+fdoaKeGzdoKD8EMnjRjjKPnaMmjQDHATJk3q7Opi6ZYMSo3xEybzU6mZ9evbr1E1YPCANwk2zsDcmu78ffKam+4ZOfriQ485dddhB40696Jx48evs/bqp5x09FGHHbTBOkPaqsY99z6474GH7jR07wMPO+aEU0e98Nqb1DSycjdl8+bWW2/e3Wp+9MlnP/z0i6zhUTrT/4+Nt4Czq7r+vn/r3DuWmbg7FlxCEkKABIIleIsU1+IQQpAYMSDuWAjSQnB3K160lFK8lFKseAJxz8w96/2ufSe0/8/z7lln7+W29znXIAglGXvuioAuVpjuMBMjIQ5qClZKTDkGsELbYhIDhBlNXKAViJKaYoR1YqEGHixxANPqCg4XoMBdjEYpuCU+SOIyBVhuqEYFFmTjVVaSWQ4jEUzl+9uVFJ28JTMs1TjKLAiX8Qd4Uioj5RkOCgCGzL+CbcRA3NnVoMvKzgJXZjGLqYygARJ9oNFKfMJlZqERJBe2QTooGgg2dtIU/GixDInEEohLYBkXMiXHOA0ey6+1pqChky4k+p/LkIYbeAFxeGLFe3lpRLJEBWGcA2FRxvEEjjBI8YBQygJeeOKUYEjuScobGE84daLmbhzHmJGShsdFiqx4LSNIQyhuZwlvgBjwFApqHKgRB07OBY/YJvyEHqkIz3JsHQb1IkJJPBBpsGW/rFh91fwFk2bNnzT7hsmzb5gy+8apwKzr3/rb+7mTtMJFCh+T4cQwJ4ZMZnEFywQhMQUrFyNYihpNskhQILLIxmJhkiESLAMprxajjEqZiWE8bogBlnLZsKH+vgefvGreLXOvv/Wq6xfMvX7BVdffdvUNdzz17KvrG9CI2llSthZlp9qxjpwbl5KcBwSvjrnzoxYft+BLKRqmpCAnY+jGxZC5mZSJUrJMxeqHH3/2jbfeMStkmbVt0+K8c39fWVBBbmgYepIZn0qKpqKVTj7+yB7pf0dZuWr1E08//8LLry1fyUcjVVVUDB9x8T8/+/y+Bx7nSV3IbMyoizfp0l4NvFstefQ/l1FK1CHJDEISs7ls5dp1c66ef/2Nt37/46J4a0esTIcdPOjaq6dvtcUmKCmNf3/+1ZRpc+++9+HM4m1/4sWUGuMrV68bNmLClVPnvvHXd+ob6GDYtW/X5tCDB7ds3iz0xAH0r77+5s2//G3tug00TibjE0pmo0defMvN14wZfkFdTZWZ4kx52cLQoRkmZWWGsBBM55KYQAApJg9GuuifVJYq37iVbiYF02ON10KHA4R1qElIf0WoK+jQTUccRXDngg1BSEffhTlkxpE0UjcyJaLTyQZXiROihvbNCpectPvY0weOA36/19jf7znq5P777Ny1kqctejiQZDiQlKtUr/h3Ixv4jGFe4tMYAiNslvE8NtIq/+AjFPiQ32ARgixQQRH9hswbCmoohG0pU4lKQ8YbDhZ3Es3kBcu3795s1Mn9Jvx+wITf7znh9AFjTx1w3pG9tuhY46UN8ga+bCYUWYmKMovZCmYgXGJxGmAkDDhDkJ7LS+a5O00PnSRPE1ooJBm5Oq6TGjUqLy3+5Zc1q1eHilTIsi6dOtTV0Bv8lNzjLuvatXNlRcGSBvN/ePMhP+yQA3bcdmvavX7D+ocee/LGW+/88ON/slVZppNOOraqunrBnXf/uOhnEjv5pOMG9u9nObdDnnyQW6y4SlhUJDNIV1bvdtV1N8+/+dbvf1hoafBOZdC+e82Yevlmm3RDB0tK4F3XjNnXPP3sS1EKF2EQCDcZ1/LVa8dcPm3S9Lmvvfl2fT0HQZTconnT4449skvnDpLwk7t//Z9v73/w0Z8WLVYKRIeAU08+duoVI0cMPaNNizpDT2kQMlaz3OlyoAR1cdS4TCgCLLAIZaRjlhAzCMUVRhsvMzhepmIn5aEu2idMuTZaeELcLa1JUGYpGLZRGQRAC2hEkgJKwSmbhABGihVrIKHl4YUQ7sFlFsO5pDzyxC4PihWTwISU0nGtZKIYiBNDSepmMMSELuIMdjBAQx43goy/oBElALekTQ4GEcy0lluECIi2hgA5bLKIziWt4MIiMjIIlN24d1gjJBdqJlJCHkxFv4lVlkAZIxaOC4ti4NAkwoQuWMLN4IgQLI6AnYZoZApmoOG47Nlh4ScBetL69etXrlrlpubNammMKW/ZpHjkfn2uGnPOofvuvq6+tCr9ALVk6VIKEHcUSsxmmUzpgWJGiAzHkplJiotoAVYQrxFZhRerG7Lqdz76/JKxU4ePnfz08680a9b03DNPvWne7OuvmXrrjVdfMXbE5pt0++s7742fNPO0cy594bV3SoVqFWvEN55A/Et6xUjA5JnSiARI2yMcEREw0y1zKyz8eSnv0XP33Xfrqzz9SI7QzGSMZK5vvvv+r397562//f2tv7379tvv/vVv7779t/fe+fv777z7wd/f//DdDz9+/6N/fPjxJx9/8umPPy5054udevOc4HXVle1btWxZV7dm1cpVK2lezD8tXPivL776+tvv1q9f31BqyPOS8rx1qxZdO7Vv3bKZKZdJZuLHZYsZIjJnt9iKtBFMHp/kbNW6/La7H3r4sacaGhr26r/bPQtuuPvW6+9ecP3dt90wY/KEyoosHFA9xcu+/+nn2dfcdNGIce++9zEtPev0k08+9ogxwy+cOunymqqqp5978cIR46fPnb++Ice5MzkjL5VySeRhROUCyl5lVqrfY7dd6eO773342VfferHGixU5354Xax5/5sUfflpULBZ33nF73lqYTJFDOMJNomz9htIfbrt31ISpM66e//ATz/z4w4+77dp7+tQrrpk15axTjxsx7NyrZlx52x/mXT525C59ev/4w8Jn/vT8tdfd9P5Hn9DfcJScKi/tvVf/Ypb9+MNP337/k4zkiOURRUwgEq+YCsQksSsifvlKs4VIDBDDFsxjdQOjurQobIKbKCakcauAJZPAxdZFHHi4DA6YpFBlUZkJz3EUDIVTBRFMxYBIUhgA0RMTH6wuWE64uKBxCGZwI5ZY5TxWhA/FMMy45KyeEDBrFLO3JgHaONyiN8GJK6w2SmLFAdZwmQEQuCDl0DgKnECkByGRhCsccbtjqxgGI5hxKZiBeCASzQ+p4UIMmCEw5UCig2M8RaInnjhmbGzYJSocYt2Iox2eYBiueQ8UYmQJDF5Iy4TCW6CZMXtQXI0OUDOZcQk/YmTGYEUSgiBcpqQvQXLrB2VhY4YkmIqBDkxYsiDNYLhwuJEWMsDhhwvxqp3JBEuUbmbJzF0A6eRcwXEpwsSslBaMWBURTJmywr0PPjpx+lWzrr1h1tXzZ869Yfqc66YCM6/5+/sfcKcLzeTcsDTLLOONE8FKvDPMKlWo9KwyL1Y2ZJUlkEJVHkiFZxV5oTIvVORZRQmwigakMK2iZMHMs2JulQHBL+YZJlW5wSy64bNgvDxIWZaZWUo4CsrJwbVu/YZb77x//KTZCWaNnzRrwpTZEybNPP3cS9774BMSlvjByhV2fC7IFfbRmGDQNyDnPU80yjcioVK+hF1ILeREh8YOKCAIIJGs8MvyVXOumsdTOol9+CVDN+veKR688ng3nIIrTqjMjB+pdu29w8QJozfr1iVT48Bjs7ramdMv322P3W644Zavv/kOwWEH7f+bg/f1+rUqrfdSfbzF5DXAcIe6XGVrk7HNkXtDQ+nb735YtXotO8VtC3eH7bcedsGZxx150FOP37d73/idDbdAQ/2G/rvvWirxhHTIMjgNdcH68utvVq1ZU2ZKbtLYUZcsuPma+dfN7NapA6RcxUJxv30HtmpWJ6waVX2LzTfdYZsem3TtFLefuJnoWFJniiSlEIAZFuHXMyN7GFGMscLHDubGtBw5TA5ofPwxUNFypZH0yToXk/LgsU1WthD6wVEiaVoZKfcMPDjJuTHEgcCbGQLqcTMeJw5Hivpg5axeKlhD82q1b1bZrnlV2+Y17ZpXt2xSyednvGYYmwIRM6aW8nQJP+BiuBUb74Wsup7DnxVKspKykhWAPCs2ZMVSViHOfKHSCxXKCrKsfGq90R2uDFeCjkUEK2al1rVZ++bF9s0r2jYttmlaqK3kF9t6py1xFMq6UbDizZPJzDIyNTJDDyJ5Msm40FbcCHxGqzc+DSrPqEaMJHQajVjwuCkyGu4ly/koVZ/nDatWrtiwfgOqQFVlRasWzYrcAHkJUmboN23SpFmzOg8jpOXwAAAQAElEQVQ64vyyZFlmttUWm14+bvgWm3QpSKSVmWd8h27aZ6/dpk25/KGHH3319bd4d9Gta+fLx4+pMJfj0BmGH48iwjmNhiV4uHeU2LUfF/2yNv7zzkIxs2Ih23GHbSaMufisk4567MEF22+5Oao4ALDbfY9+CiNsYQTAZMlL+Q8//rQ2ikoiJvexoy+9dtaVt910Ve+dts0s3NDO3fv17dC+nTzPYBl1WF1tk9bNapvXVsV/K2TcDmgCuUhZOOK3PiIoKJJXdDRoEOMCdZoHV05b0I/84ALGhZAZmeMZaWDBMBJ3nmpxXgx+gLNpKU+Da2hhwhy+SRisEdAtYxhSQeB5OZVQjVfo0Ag8ROBImck+zel0GQYW4rgMoiy1WNzL8SmZ05BkOIOJFHnZImZFwi6RNLM2jqQGEemBIzJUWHAIG+fKyg6DisvMWOJS6ATlYQKHHmXGELiSKRKYkKYMroG5QADSJXkgcDU2zUsEg4CnGKa072VmhOMyC1+xWUij7YYBGrGIqI4xDxsqUhrw4cr5g46NRCPiypnNudPg40MCtWXLVq5Zuw5JbW0TcuRtLlA032rzrp07tfNQRagly1aoUPBIJQueeW4UX0jR5CazTKQqEzrQJJxVrG2wH5au+ubnFe9/9u2EadccdeKZdz7w6A8Lf27dquXM6VNOPPHYrl26mBWaNK3bf799Jl0xYfdd+65csepPz7182hkXjL1y1idf/YDttz+vWF0v3hvIiGgygFhkkXEZLYGhkJULBF30y+LV6QWox9Y9PM9Tseiq3BhzmTTqkmF/ee3FN1999vU//+mVl5959eVnXnvp6VdffPK1F5947YXHX33hsVefe/SVZx9+6ZkHhp73ey9tMGwA5TfOm/PBX156980X33n9+b+99vxfX3/+r689P2HMKITbb7vN44/d/9rLT73y4lMvvfjUq39+9s1XX3jo3juzOI1EN7OCAJWHeWbiaSWTO0+bPKtYvHLDZVfMvHzKHH5Ib9609pqZVxw6qP9vBvc/bPCA3xwwcL999qzgI0hmjDz3xUtWDh91xdQZV336ry9wcOlFQ88749TaqqxlXdUZJx5154IbNt+k6xdf/efOex50vraV8SwvcbGfHpfSiG54Js6LkUfuDRtO//2JzZrWfvTxpyPHTv7z2x+tzCu/Wbx69vULJk6bu2LlKj46HnfM4eYN5JAc0F2MY2ahjOXLl65ft27z7t3OOPm4Jx65+9EH7jz1+CM37dLOShuKaujaoc2AvjsPPefUR++/7fUXnx5+4ZBeO2y7zRabFYzddBzixJR379q1ZYvmixcvWbToZ3bYnSd2dMicIQ4fmuKYEdbieRi5IxMlhBMxKNFY0MgMNigSwJR6nslMBpfJwxOXyzL4mMjMZCCZWOiRwF1IAxE8F5zQECqB5ziAL98ogSlwILHRlcJT2bME17iUBjmCIwIxhStBB0jJcyLDnrsUswArq0mESJAZIxokhnEhclhgcReojEJJpowwuUjeLNxmZqbyMDMBFGLBiCkucOdKwBPH4QGEUJZWBBszivMUWeE4DzaXo+94BQ0IC7Y6//VdlpRYqLEGJGVzpRFFx6WyByyDKhOhEGoUDlPEJPTGlHjNEd7KF948iMhZafJIL4zLPTYLcajhLAGuUCSrLPxCmagd4+DGYsZ9ZQggnDDOiiyOgUEaJNLgOlPu0SzSB8pawSUpYqYA5B1qkoWla6Ot0A4dFikXXyDlpc033aRFs9oWTetaNq1r0aK2RYumLZs3bd6srqaqqqxq4uZQXhBBKyoK7Vo3xf27n33/l89Xvv7vFa98tvLVT1e+/OmyP/9zxUufLHvpkyUv/mPJC/9Y+sJHS178aOnzHy957qMlzwIfLH72w8XPfhTw3IeLX/hwyfMfLX7hH4tf/MdS4OVPluHhlX8tfxX4bPlbn/3Crye1NRWtmtfwJkyKRCiv3B8+gNXV1pBki2ZNm5Nz07pmTZs0a1rbsV2bFs3romVi8DTitIaReJw0Anx8OKXDTFBKs4dg4xW9LOPxLLAyipk5L10FzwoNKo4aOXZx/EdKmJd22Har8886TRs2eCkejKLbkvOXMDNyyCoLdsQh+77y7IPz504+7/STzjvjpDlTxr716lNn//6E5//0/AMPP567t2vTesLYEenzFT/s82QmzczxxnbjLbYyUguORwBDnk6e0qiurtxxu61mT728b8/tKry+a7tmD91zy4lH/7amuqqimE0YM3y7rTZ3dvx/TLhtUnq4Sy6kYrHQplWLa+dMPuvUo2sr8iMO3ve5p+7ffdfetdVVvXvusMeuvQq83ud5qaGUxx/Ny7NSg/He2vFLrxpdWaxuZnKHmzaQnDNZTkFSWZArRsgdhjKUpSApN+GxBkI3YefOJLMMTfQwgY7ZnUqYiCAph8UC0D2RSdjx8QWGyIccwNAxcY7x4Lx4wgfYhLwxnKRQKazzin/+sOEvHMtPFr/6yS+vfLz4b5+vWLiSz0tFswwHEklaydz4FEIOYQUvuEtXrr330WduuO2Bebfcd22Cq2++b85N98yad+fs62+fNe+OWfPvnHXD3TPn3zVj3p1T591x412Pf/3jUldFZgWci0KN/CQmPHsqX2ZWXNlQ+Y+fSm9/ue6tz9f85d+r/vr56n/+WL+yvughNVd5OKplTJ5FE8xFlemVkI6GyJ1EjT0t/9RWqvdSfd7QwHu6kCpPM7ock4RyR2CCESnl0a5169c38FtoEhYripXVlcosKxSswIedCrOsWMxqqquTPKZ1a9dZxu2gQwYPfOzh20ddMmSPvjvvuN2Wg/YecNWMiffdecuiRQunTZ+7fkNDRbEwfuzIptUF5XwIzNyKyopOXPaadCINTyvpQYjKJC9knDDSL3Hqd9puqz/Ov6rX9tsUlW/ZvdOzTz9wyOB9qquqioXCmJEXde7QimeLZXgEIrfclefgQJCSVVYUO7VvffN1M4ecflzTYsOA3ts9cf+Co397UKumdV06dRi0354tmtaYEdqM2bBw0ohbYSMq4VXyksWaCdTZAMW5FIMOYxKzKzMaC08FQ2xgXAU5VoZUVMYKW4WYJEsiMTLj+MXRBVfyglePQUBSSjuJNyiX4RAEtolJ3HcAyjCTCCeRo8WKNO4d9yBMZlwqe0DdQ0+GLCWfBUahllgu9geHJB1hUEoQHBAqMhYkhprQFc6cItzxTFwWKFm0EM8hCgtIpzrCCI0MUoywNdQpA6mX8vDBboYaYnqVbJXUG5mGcshwQ43OgoNwEkzDJFaukJiBiDQImnAjB8OEtMKdk6cj2BiXjntYkFcscSGNRZZHwWVBQhOXtgjfEogxQCz2N+gQRKyI8cuyZQ3ceVJtdZUa4vfeDSX74scVQy+/9sY7H+Wuq64omrRk6QqVz0lKQzIT9bJmpKg0StRqaWRFZdnCJSvOGDJi02123Xy7fn332H/GnOu+/3FR3lAioSVLlvz+9HP673VA393379f/wN32GLzHnoOPO+HUt9562/Oc18WFC3++as68XXoP2Hbb3lvv0PvI40797qefjRtMmTwiy5RbimwmCEoyN4YYtnbN2lJDA3m3a9W6kQc7IMzZJnLo0qHtjltv1nPrzXtuvdnO22y689ab9txms17bbt5n28132a5Hn+232GXHHrvuuNXuPbfp3rENxzGzYinPVq/dUFlVVVFdUVVVrKysqKgsVhaKFcVCsYhLWcYDqlgBq2jFYqGikFVWZFmxsGr1+oaSmXGjGYmLCRCt9PqGfNmq9QuXr3vn4y/HT75mx133nf/HO1atWdO+bas7/3jttj26VYhC8qLlxl2PiVOvTI6DUl5auWp1sVjssXn3B+++5dKhZ1WyG7yAeqmg0j577PLAXbcce+TBMyePqy6yWbnynGczk+e806B7OXuIO1dOb5wj5KANXdq3mXj5KN4C8VP8oEOPbd99hx479R9z5fQfflzYvnXLm6+/qnvn9uaYGAVgCOTC0pkqqipmz5r++afvv/PXV66aO22PXfvWVFXkpdKGDQ31G0oUu6GeuQHLmsqKbbbcbNyYS19+6Zk99tjNyYNsqEyW82iuKLZr13bt2jWrV6+MtNM9YSEyTntcuRFXoc8V4mgJWwvFYUBqsSPyuMfEMPQ3EgRzOkDCmTxkzLSUl4JwEM4oR8KJs20SIWHggVnGn/BgUjRBgnY3MwHhzcGIK/wQAQpEMVhDHnYW0rBPiIXUkQEbpSZzPMaFX3moxIVLBMxsQHKCCKFJgLzEYsGCF/FYwrHScA9XRBBaSJXQUAHDKEsO3QkdT7yQuuPWEecguYddujyEcvLgEnaW2hVIpIdRUhOzec7Rwmeoi0E7DT7Pk5SOi53KgqG4z8JzxMrQZDuixyy4d+yykIZgoxRmWPJuCanywBVecxTRU0ZQN1GcIjclJAQhdzesUg2opEMcojwmGECGs9Ckho2W1OLJJCpC01ExWWBGsKSGHKkHjyknC5nBEafR4UqmNMzdRA4Si9Ap5x0tjFTtvxWhSGRrdA8/r99/r34vPfXAM4/c9afH7n328Xufe/K+55+496VnHjzuqN8WeOdiyggnwlJFkfuw305bdGnT7NlX3jtm2HW/G37r0SNuAY4dueCYkbccO+rWY0fddtzo248bfdtxlwUcf9ltJ4y57eQxt5009vaTx9x+YoITxtx+XBkuuz3URt9+zKgFR4+89agRC44cseCo4bccP3z+L0tXDey15Q6bt6cs+mAZVaWspbqa6nlzJr/x4iOvP//gq88/+OdnH3j56ftefub+l597cKstupdro2y2m33OldMdHpnR1MBzcZD44Ys5bxC7ycx51/8MAzfnOZtHUIgcjmUgQWeF51/8830PPlxSnnverGnd6BEXFeO/cYoPWrBK8uRXJCAM48oxzvKGjq2bnX7ikdfMGHv19DHnn3H8Zl07fv31t8NHT+C9ZHVV5TlnnNy9S8dVq9b941/fvv3+Z3/74F//+vK7tfWekwlVsbLxcaqIUDKnkFJmatOqZY9Nuw3co+/woec8fv+CAX178gJMcebeukXtlIljLjzvjGOP+s05Z58ij8cQJURSFCOeVILkhadDu7abde+6a6+dTjr2yAfuvvmMk4/2hnWGl1L9Zt06PfXYfaMuHXrKSUdvsyW/DDjnwUR1JMBb+JJKDcqp2GHilcVkICrPHDehTQGxlC82VATmDANJ10DYXphggUvwGxGw5IGjwJqMhaYguGLGu3FCcxkMU84cts4EmMEAFGJwULgk6tiYHJY1qkqJJdxnYCr84+slxw678ZTRt5w+9vYzxt7OfMKIP86799VV9e4ZykrDIwmFAX0RfcXeis+89MYZ5w6/eOSVI0ZPHjV22mXjZ4y5fNbYK+eMnXzVZZOuGjf56vGTrr580tVXTLlmwvRrJ0yfN3zCjKdfeK0UJy2zLCMJNwvELfmOHJUVSlbxLguAHAAAEABJREFU9BufHTHkxqMuvvmYS24+9tI/Mv9u2M1Pv/55gwpu5qEuTA0ES5ZA4qI1mZuBuiznhLpy5+XceD3P6z3mXB63jP47Ql0R3IMXFFYl4SuYwStfWZYVCgWzgseHIjLJlGVZ6JflirCew7TMMpW27N5lwphhLzzz0F9efvqx+28985RjvLRh2IUj09vE7MBB++6z1+71G+q/+M93f/vw07f+/tF7H3/28y/Lc5mXSpbzgSpX7qYc77F/zmnM27Vu3WPT7gN273PRBWc/8fCdO2yzqVRSMd5JtWndYv68OcOGnn30EYeefMLRmef01iKpdOEl7t6GQpZ1aN92y8033aNf7zNPPf7he2458XeH5hvWmTIza9Oy7tabr547a+IZpx232647y+vN5LjiGCUNcLmUHga0iQwDHB13+mtqHB6YK1mbJ6bDC4xi4CQMM+HOIbAWtYIJTthJhhzX8uiB/jtCH8pDgXaxcipgAIRF6krsHE/hjcVDI8XAqRie1IiDEyGFBeZkJkLiAEOchYsgODoelUqYRDrBhFAansJhAYVFWZN3B44vOek7pcmELVfEgAtEDtjSEQyRJBZqeDI4cXlMkglbN2MlViIUIzNmZ8RaLi0cwhQhs7RKqayEh4NQjUioQ8qRyzcyBReGBYMXBoTBaXTggeOHvJOl40YOI/GhIJChHV4QUBkzgCDUhKLKfZSiEFpZljJjKS1dugxUUtMavsKw735efddTb542YuZDf3q9bV3NEQN2PnyvvhWmxUuWkB1RUt6oW0SnZHHrFYwwllF9IKxmygrr6ks/8wWia5PmTXdu26pXmxa927TYGWjdoudG2Kl1izLs0KrF9q1alOftWjXfsXWLHVu33KFNqy51dQRZvmwFeUrRfcuYs5QzAZWG0z0nBwiLwZ0XDcisUFFBomZolnNH09GKy0x0hKdWTinRODOTFXjaMGMKiK8crJB7wazCs8Kn//5qzOXTf3/epaecfeHJZ1146lkXngacc+GpZw+76ZY78Pn5F18OHzXurPOGn3X+pWcNueTsoZeePXTk+ReOuuzyqX9770PCuJdiN+KjTomEcrcP//nFaedess/BRw888KhpV81fvHR5m9Yt9x844I/Xzx40cDfL44FACbHxWImySBUIRm1N9akn/u662ZOef+rBgwYNzOvrSTjPirlVWFZJPvzg/8cbrj304MHgboXqJk169+55wH77tGnVQvHEI6Oy77hljImOyItef8LRv7l6xhUH7L/Xtltu0bFDx026dtl5x+2OOfKwB+764wH79rfSegvNTKZMTDI6bAUVq555/tWbbrlz/s23zJx77cy518257oa51/9x7vxb596wYO5Nd8y98Y6r/3AXcO0f7rz2pjuuvXHBtTfcct2Nt9x0611v/u09z3CGO6NKl9U1qc0b8ob6BnnO06ScKEiS5mxdAP3I4wVXabjRVJcsqcWTgQpjQQ0294nDgADQxFOOcrCEQJJx2OAqBgbsTxZSFx4beZg6Kh77yEmUwRDxzC0PAWoerJKQYkY1SJOFwJPYMEo4SKilFAMPNQ81FNBkS0Bw5xDhlAU75xLqHraBQCcNyQgqyRQxwc1SRYlGBYpZJgIZ3S4jyXPw87JnhOHZ4MP1PKas0aFjnIeUFS/hgN6FHWkGI7oQluDCBq6zSqEZV862wcQ34BGqfEGBhARdc/TZEosRNFLDaziHLTcewYphnkeFbogsuY50FPYhVqawCzRJy/4lEyNNnC00DE5ccCVoQQD4UeMIKlAixVImIxcocmDGRlxIwoFichjQzIpBBXDAYo4LNLKPheIDjNI3ei2zgyMlL0rKv4qLKvE90Dabddlq005bde+0VbeOW3Xv2GOTTm1at2C7JGUsxEzGhUx9t+1y0YmDDui3bb8dN++3w+a77bBZvx022y2QzXffEbIMm+2+w+Zl2GPHzeEz99uhrJ/4G5nwgbImTtDcbcfN9+q1xckH9j7/d7t3bVMTlVhGGlRa7ntWsA7tWnbr2KZ753abdum4WZeOPbp32bxbxxZ1NaY4GCgHhEGOObg7iIv3AwCV53nOM9RzMctNzh9qG8EkszQ5S5SfOUpxOOy7H3669tr5DQ3YWrFQ+M1hBw7ov6sYWUFCIzxFZBpO2lnB4VsBN8GQZ16vhnVav9Yb6tes3TB5+tX/+S7++bU+O+/028MOfef9j0dfMeOci8aceu4lvEKce/HYyTPnffbV97kKxE/Z8ugHGjyvV16qrSqcd9aJ82ZfeduNc8aPGtqxQ6v6Uv7Nj4te/+v7Dz/10u33PvrE08+3aNFi++23f/qZF9966+/19aUDBu13xG8POeyg/Q/ef6+tNu8eTqorZk0efc30CTddN23OtPF9e+343Q8//vXtD5545pV7HnhqwZ0P3v/Ao926dmvdqvU773743U+LLhx6/qjhF1560XkXDz2rW6c2Zg1xovK4m8TI6a+L7kUnJAN3xbDAJctpgpKwzGdOgKbgo6Ywp+MSCHuDWOYgkugkuBhwjSXA2XeVRSwIxIBZlpsMMkWMtfGKcE7SsnQ2EBt6cUkRJLbdvFlNxS47br5dj27bbtF1my26gvTabrMem7Tj+xzHWmkkBDICs80UIfMs27ChHk7nNs0PG7DjCfv1PGnfnifu12vf3ls3bVLNgT5kQM8T9tv5pH13Onn/niccuFvTqmJDKWf7JBPDPI5PJAJtAsEXnnPR6VbNm263RdetN+281WZdtt6iC3jv7TZt17KJvKyEvcDKFATWKS+Rl7MByGRipCbTqDDk1uC2cPYvJw7CBObJkzzHDr7RakwBmZkqKwoFHgpJNU9DKigOfPQPldy1fn38i/AmAdWVlUYqWdKRW6neGtZmDWtVv1bu9z7w2DPP/xmTbl06nXTisevWrJ8+Z94Fl4w9/Zxhp555wZnnXnLpmEnP//nNUs5poBF820q25caTplcWdO4ZJ8ybdeUt188cPXxI65bN1q6v/+zLb1987a/3P/bMbXc/9ORTz7Zp3aZnz56vvvLG6395Z/Wa9b/5zSFnnn7yyScdc/zRv9lpuy3MNzStKUwed+n1s69ccP2MGVeO3nmHrZctX/HhPz9/8fV3Hnvm1Qcee+6+Bx+vrKzaeaedvvv2xxUr11xw3jkXXXDO0CFnDrvgzB6bdk39ob+RDxWljqV9oHg5zVMaViaTWOwCFuChaMkqKcGk/dAooISJRQ+FF0Shkic/xgjKpMTHTXAgAVg0HDFc5v+Ch06QCNhxmYkjJwuWMqQJCfPkNKgywuwy9Ez8BRIyM4slXRsx1BxGkB4TeACaAMYBibERYXUiAuZWHiGH3biYzECRKlYXHQAB4HK66QARASkUHU+BhTwxhVt0tHEgAJSumBploGYxhcQY4RoHBi+ZcgBpW6KSSiMz1IJ2EJeMoUaXcEABSzuMVGVzWAHBiMtiUiTOfUAMZHACOOhYLF2yhJkX5UJlzTNvfDxq1h1jZ9/6z8++7rvtZpef9dtZw47Zb5etqorZ0qVLkxMmAhqx0pLhziSzzGRmmbL/AjFKeV4pndR3hysH97tyv12u2GeXCXvvMm5gn3EDdxm/9y4T9ul7+X59rwT27zsR2G/XifvtOmm/fpP27zdx0G5XDt593IEDftNz6yJfg7hlROBZRfU8UsRiTGUwWUJMZlKkVFlRtIwHjK9ds06GkPpjIXuqBmD96fmXp86eN+2qG2Zcc9P0q2+cfvVN02IGuXH6NQDMgKlzb5g487pFS1a6Ct//9PPTz7/8+NPPPfmnF5969sWnnnvx6edfeub5l/704sv/+Oe/CLB8+Yqnn3n+4ceefvjxZx567OkHH336gUeevPfhJ+57+Ml//ftr5zYoJ1IwCnIrWqESn8889/I3337frk3rgf37nXfGybMmj71+zsRBe/UrchppoqNMvtSRGxMQzFye11YVjjx0/3336vfG62/eevt9t951/613Pbjg7ocW3Pvwgnsevu2eR267+8E773nojnsevuOBJ+584MnnXnqzW/dNDj5ocIvmTWmFOW6NVsYSOMmRY2ZZVlddecyRh9507az518y4etaUa2dP+cN1s66/avpufXs634Ra0QuVyoqKLwglY2QqFK1YecfdD0yePnvKtFnA5Ckzr5w0/fKJ08ZfMXXM5VPHTJh82YRJo8deOWpMApBxE0eNvXLkZZdfdOmY+TfdlvPJNufdSMnzgPr6En4LWUEM9sxSiukIk7QRVRbJm7PQjXRH/KoDQjk4SAgeAAMPG+6YMAmOwirYisEtgo4hBKTMyo+6EDVeEcvAuQAQ/FnCiAYZeCLhQ/4PwA1hcJygZiaAbXClQJKJYYILy8D/D2xkmOz/8MtE2Qg75SEPJAloV6hHcrEmqUcRnkqjE6h7EmEDEk8iLPEnMZllYhGGCmX9Ojz0Rf5mJsObWVlGB/MyRpky/gRiZiyS0GRKkAteusKPGJ6kgWDSKAkdOABVuCkcoQ8GCzAIRTbgglCaEiIpk8LAUPLkHExBMCVJrIJJORSDhBmcYsMnGJB04KMGlPkgmFEsmsyhxVUGiZigzPG7Ghqu0KcAxYAvs2B7kEwhBTXxhyAWsbpCKS5H6g7GGkkKCWAe3xNb3lAGQSqvKBYz/IQaSxkl+7xVjY4auPWV5xw444LDZl1wyMwhB80ecuCsIQfMGnLgzEDAAzYyB88acsDMIYNnno/CAbNRO2/wzPMOmHXeIGDGeYOAmXDOHzzz/EGzzh886/wDZgw5cPp5B4w4sX+vzVsVnd0tWHxiyRQ3tpeLz7IspS6pZMqzPLe8ZN5gHsVxmyMg8SBIWfGGTOLBh3VoykEcdiN4Ukw2TBYmnJxMZspS7VYewXnm2Rfe/+Bjd2VS86ZNW7Vq9fIrbzz82J94TL/y+l9Wpn8nwKT6+vpPPv33n19/+4233/eswq0g45lo+ORSZl6oeOaFV5967kUpa9Oq5bFHH/HDTz8NH33lzbfd89Y77//7y/98+vlXr7759tx5N0+ccdX3C3/hqSLnB7AShchz83h28+Zyj1122HtA304d2iB77JmXzhk25oQzLjr7wjEXjbpyxNgpl02YOnXWNVNnXX3p6CvPveiyUeMnf/bvLwbuufvs6VdOnzx2nwH9vGFDQQ2HH7zX/nvvyhvc1998e8iwy048/cKzh43Fw/BxU0ZPmDpy3MThYy6/aOSEs4aOOv6Uc9/+27s9emw+7IKzLh89rGuHNnE/cK6clihNkun/GU5DFW02i/5ymcAwhskMAwTgLsA4nKEgYadQdE9KgoNqElnC4cDg5U3GH/pyQwBuyhQhyMpk4GLgB7YMVLLyIpcSnkhejdKKhby0Sbsm488aOP2CwTOHHjAzzZPP2/eQ3TetLjQ42+Fl2/Kc3JEMAQF6gdS1RefW5x3eb/Rx/UYd02fksbuesN9OfP1cJZ17eL8RR/ca8budRxzde0llXU8AABAASURBVPgJA9vVVRVwQFSLQUKRqoy/lHC5L2KYN+y2feepQw+ee/Fv5l586FUXHkRuV5y11y5btylwoImLEiUBIAmC91/STHjlAOVZJO6kKcGJ1JXnDiCUYEUnEQcHNQUZEw4yywpctbW1FZW8PYMrfoNas3pt6HjsR/iW1q5fv2rjTZFJrVq35JbKuH+j0oJFDMusYIXiJ599+ccF93KMqyorDj5g32232XrCpGl81frCK298+tnnX3z97Xsff3LXA49edsX0P//l77kVKCrVxOSuVJSX+vbabq89enfp2J7PUbfc8cCpZ1100hkXnj/ssktHXDF67KTR4ydNnjpr5uyrL73sivMvHnvJqCvefe/9XXrvNHH8yEnjhg/cvXch31BVyA/ef4+Be/Tp3LH939//aPjYyceedsEZQ0adf+mEC0dfecmYyXAuGXX50EvG/f7cS4875dxPP/uiZ8/tL73w3PEjh27RtX2WnkJx2tOOuXJaY8zkKJkYTosSpUja4ZkMPkbGJbgwTeCoQgYDLDhiePmImhw16BSItdzwQBBtXLALFFnmCg+WZniNCE4MP+koKP8vE43QROQSOxe0SEmRDZcahyPGu4lCDV6QLLKUHuZUC+0w9OsViOOkzEVjI5LDNDHl2IMonSSZFBdbHrlCOTYqDxIwD6mYgbKhYwiEClJF4nHh2S0hOEDTozQTI03kDBqAfSzJFscYRQgPXpgrqMYryWLiQiFMeFghhBCDmGFSpiIMcTPEissMDgxsJRgRFxxm2AgpdgHUHqAlvyyWotnX3fHoiBm3PPLiW0XpjN/sNfX8w48euF2bqvraCuejy7Jly+s38C0YjtyjgHIzQD25N2ZZJqEQ4UF4ReHrHlhbtW62c+vandvU9W5T26dVTd9WtcAuzG2a7NK2tk+7uj7tmvZt33yX9k13ad9s147Ndu3QfNf2zfp0aNqrffNuTZu4R3oiKK/LzNDxPIkiiELcnEVmUaCJ4aqtbVIsVqC1aNGixJAsF0K0HAts9fSzL0yeMXfSjKsnzrj6ypnXTARmXHPlTPCrJ868euKM4Eyaec2U2dfNuPqGhYuXeF7qsVm34ReePeXyUdMmjJzGDFwxasrlI6dePmrK+FGTx4+cPH7ElATc/sDEccMnjrsUGH3pBX1670j8LCtYVlT87lQEybKsT++ed9wy7/47brpnwfz5V02+csyFxx950Cad2xS8FKen3FLuUMXAgxmTI8qcObe84asvv5o19/rLxk0dPX7K6HGTgZHjJo8cP3l0AC+4k0eNnzwCDqLxky6fOPWKyTP+8cm/ogW4pEfRF3YzF59w5J98+vkjT77wyJPPP/rYM6+/8dYPP/ywfu3qlStX/Ouzfz/x1DN38SnurodvvO2Bm267/z/fL3TeROHERFIW+ZQOPXjQJUPPvmToOZdccM7FQ88FLhl67qXDhpxy8nHVNdVVVVWHHDhozIhhNGTUxecPH3buJRecPfSc08467YT9Bva3PGd7Kc3IqpQvWbasUFlZWVWtPDeiKKZ0zgRKNI4Ee5kIxX0XmCEiGYXA+GwL0sgyCVl4xy6IoEQPXeYhChOXmcnQEAOOxwXDHVqKG1EMNCTedaGM4H+4DkeGhqe7ILAguIKLLhjqSAkNlDkg8Ms4Jkg3xounLBzAw0HS+tUzXAU3rZGzcUsnX/99/CaZK0mjeJNF/GBYmYkBckAKDmKJlqQoQsXghgQcCHa6GrmxIHWuJGUNFrc9i4etg+T4KatgKxKAFocuMgoUFYXE8RE0Cx0AILCFVFmUhaYiPVwDoEAgzlQWNqoqDQxwAyii/g9F6KQgJSuPBwQuypSU4y8yEsOTBkJyCE+wsA4CAS3n/HCOIiw8HDTqBBFMHl+hJ/Dw1CilBpkhwFtYNy55WEXgpJY2FMPIPbRdycCsvLg4hOCGsYXvQKTqat4QWin3VevqXZmKBbNC7EheapKt79Yy69Eu27J9ccv2hR7tA+nRVj3aFnq0K2zRrtCjfcUW7SuYgUDaVcDv0b6yR/tijw6FHu2yHm1sszbavBG8R5tsi7bFHslky3aVm7erbl1XLKhBmZlxZTLqz9bztX9UaZU11ZKQmccshOL2DjXlcFJjEdMsUEVRYnju9MKcRlBjuHSPGdFGgC+XeIqwlWLgxWR4Zgb8++9+WL12XWbct756xcpb/nDreRdcesaQkWeeP3L21fMX/fxL2MhWr1578x8WHHvSmaeedUEpq5DxWcsQCUMrKqv88edlC+68f/GSZSTTu+cOBx2436233/XhP/7pRA+9qIJ1/YaGPz370p+e+7NkqRQqIEG6AOJealCpIc8bfli05IhjTz/trIvvuv+Rt/723mdffPXDTwsXL122bMXK5StWLl22/Meff/70i6/f/vv7T/3p+THjJp9zwcWVtXX84ZT3vcRcvmrtpOnXnHrmsNvvCw+ffv7ltz/+9PPipYuXreRl++dfFn/3w4+f/vuLN99+9/5HnrrgolFnnXvxf779yXh2l0pSSZZSohi2S0aKkbAkp1GpcDpNbfSfYChkyJBayBwZDnJHBMqsDNpAQoyacMyVOoAagmQuNj0QQz08w8cHHyEsbr1IAg52jjf0cBZ+woFDSibPpAIpWyKIhAJcJIrUrGgN3VtnW3dI0KkIskXbQovq3LxBOX/aODAKn17K5c7xkbMvJaRVBWtZ7W2rS21r87Y1ebMqKxJPatuk0LYyh9+6qtSmRkWjchXMELplsoJlBSkTqdNk3ONXgip4qbaifqtOhR06F7braNt2IrdCt1ZZTbFkFhFVHslE1BOky2iJgxoXnfFwnVtuirhsHgoBUKEVStqI8HRyoUlpkYQbZiYzyZq3aFFdU6MY2foNGxb9spjZveQhzFH54aeF69fxng9nJlO3bl2MF+bQN8k8M6PMLFvfYLff88jHn/5bUreunU8//eRnn3/xTy+8vL4e29SEiBwlvP/RJ7ff8+DiFatyDq5KmdzwwSzh0VXyLHv/k88P+u2JF4+64pEnn+Xz0pdff/vTol9+Wbp86fKVS5ev+HnJ0h8W/fyvL799+70PHn3imREjx5197oWFqiY1FGImwLV6fcOMq28+6sSz5//xrj+/8dcPPvnX519/892PP/206OdFvyz+YeGiL//z7Yef/OvPr//1znsfPu/CkWecM+yLL/+TuauhpDxXDNqXl7NOM6Tn5hQtR+x0HoR4EPIUNQshh5AFRfgZlzxIoR61wjAD90BgBoBCergycGOkiBKYoSyjV8iFGEBZEt7CvaV45XAyU460URUlIQaoCzXYIJ4ZXLQQx2zEMo6IoQGrDAjQRgIJbmERtkkHBmzRpbANFg8JyoRvCPAFlmgPJ9jCDdrphILlkhm6AEiAFDM8R8GNAUPGn5wJxLjEoGgzc/6EoJwift0UwzxmIXGZ0Q0Tf+grBkrGGnypkGwdOmKyYGvwUIq8kwBc6cJLQJmwzBU3R5ROtWFKVgoFdoXUEFiQeAw3LPgVw7JfflkCqyH3tz7453c//bJF+5ZzLzn5spMH7dCptqq0Tl5fVVmsqqxcvXbtqjWN/0CoKERkJqYAqjUuMVgtltjAPPdSPMx5FvE7SKlCedHyysyrsoYqq6+whgqDWSp4qVjKC6WGQFT+irOerxgyOHxdWyqRXriMJXfnPBlBDRYdU+y0cRpFTvAABHmbtm2b1DYB+/zfn4sHQkgzt0yW1dU26b3zDvvutcfAAbvvuceue/XfbeCAPfbbZyB3a31DQ6vWrffot2v/3frutmvvvr179u65Y88dtu253VZ1TarcN3Tv3ObU4357wenHX3DmSRecdfIFZ596/lmnDD37tAvPPvXCc04Zds6pw845bdg54KcOPfvUC84+BRh61qlDzzr53N8fu22PTTjosvQQNhOIGfvSsW3rQw/ab4dtt2rVqhnf6TSrqczyktM7ss88tgktmk35oR+VIEkUB4FVlZXVHTu069KlQ5fOnTp36tipY/tOHdp1aNemfdvW7dq2at+mFb+YtWnTqm3bNnVNa1etWv3LL4vXrl9vhl+3dBJN3Ds86kvKdPNt9/5+yMjTh4w844KRZ14w4pwLRpw1ZPjZQ0acM3Tk2cMuO++SscNGTrhkzMQJk2d9+u8vySYy4IoTmqt+/QlHHjp+xIUTRg4dP3ro+FEXjh81bNzIi8aPvuicM06t4RhVVBx0wL6jRwwdM/yCsSMuGD/ywssvu2jK+BGzJo854ejD2HEaQnVmBfL86aeFTeuaNq+rNbrgOfcOa5wzwklp42VoI6JRgViQaOdmlkRi9jDB0hWDPeCBYy40hKoEwsFwxQezJE05WBI4UnoksXKJgQCuiI9fjrmhnjsznYwmODpsm2gpniEkWMgTyuoMWA4XwAmCPDCYpAkFhENozxOCi2SIIABlMmcOAkEsUBHOMuNhgFTBzxqtZYYAtcxEmmV3KbLLJEOIBlYOkfjWaIkUbdhipMWFniwJ4AU4k2HGGsBlabOCTZkGAxSACDwDDQ8WuRhl/rp65s4TC7lJSQ1UJiBNIHQvfJiUJxY+xcAXjpA0AjsDFyh7oXA1loRfMxxKG49QTu7KYMW+mUAiqSxqQDNIZ1J5RK5y1IMkCvpSuIdpqOEDKVkKW0LmSlKTTBZD3PlihAqXJYcYS0TNXJnScMuCGZ5TAy24ZSk7TJswDFZckV4jmZkp79q5Q1bM+KD1/ueL8kKVZGYcLfe8Xt5gvgFwbQBXXoqZN2ACKdGRiOol1Nl3bJj5Gjrx84wcjDcjIJZlQKaskBWArHEYj+Q8U07meXjOMZfIJP9xyeqGPK+urOjUoZOiLW6GlIeOW7Q/99wkaidTwlKRiVEWynMQoWfOfjuGSp7hgDSCw0pGaYKJMjNsZsBKeSnHnPBsUqm0ds26lavWrFrDC9u6tevWIzG2JivgdD3f6K9cvWrVWlfkI+EycnOzkioef+alt95+h0xaNKsbev7vf1648Isvvsrz3Mz677bLy889ct9df+jUoS09XLZ85dvvvL90xWoPD+EGR4o88cRe289LVp11/gh+JVu5ek1DqVwX8tA2UwBU7kxc9aXSyjVrX3rlrTPOvnBNfckKFSLhQsW9Dz511fV/XLx8Ren/eCBEpCT8YJ+AJCn56WdfunjUhO9/XprDxK9cRmM8JjgBHhN0WiJfC0z4YnPlnkPnioNJlbBNKCcj57bhbaknvrMFJgYrm2smc84FDLH96AN4p/Xc9rDMHBPLsCapFAUxEJHc0Q4XMjjK4/xE2rCTCGnsUVx4IBJh4IUp5znHtUiS5MvekTYCSkAinKNbcsctAIcHUs6xD5+ZCsSFJxULlgGZFUwVhXJKZlnG7aD4JrXgWUGFomUVliEuYIRpMXNU4wmXlyyvtzzdcdQhN1E5V9RFKh4lgTvJxuJ5Zmb0HL5yOoQloqTmRqdRNCMbQy/sCRiQmTIZU06qs+a0AAAQAElEQVR7Wc08NIo5r3Um3hA0a1pnYuS56/Mvv+bDjKEAEQ4LH3z4D44cYiiXbdFjC+W5cieghLtMynIrvv7We088/Rxvnij15BOO7N6961/eenv5ilWyQueO7f5449Vvvfqn/rv1kZTn+Tvvffivf39l4s84QFEFfEMoQnz+1XeXjLz87Xc/WLN2XZ47XGpkiUiWZWah6CSQIyqVfNWqdS+8+NoJJ52xhu+ULPqcZ9mDjz4zafpVixYvJSXUyoChGbVZIGWWVOKGWrn6T8+/wg9ln371nYszQoEcFfJCE10Fz2NOjzW2MHAPLglLjQgJQiZ9ha3jA4pMgQz18nFCpyTL2HnBhHKlQStYXZzPXFjgI8BhlsHCKQ4VNZpoTU4InFjGYQ0BtoJ2MvHoTm54oHsKDjGTL+KYCwkOMmdbBWEMCURGaMSOSeZ4BsdJSJSRAHJZCp7hCAmOAKWBrkuJDDcSOMoiV5h4MxnnT8Y2psBCXXIaJRbclhdmE3mgHmoZ/RCMpGwGJlATuTBRQ1A4kWQGB1diicJREZ0AZVtdkTLmJtTos0DErSSKzV0xzIzuBSYZjsiCHgkHEDJYKIdq1BG2rkw5PsUgB/QDkfEXFp5ZaMNDxz0rLF2+EgIgoX379rz/6ssO7LtFXbahGE3CkVVXVTapqqpvyH9Zugy15CQnPo+hlAk5QJbyqCV3vpvwes8b5Lyw5eVblXvQFDeKsX+Z5YVCPKGK5uRMPtwj5GISnsQiBFGFybJMhcwkmRmGRCWCl0hNTvz0VETguTKFJzPxcMsK7dq1ad+ulcze+Ms7ebHSsyJgWdFkXTp1mDF57DOP3fXMo7c988jtTz9825MPL3j8kTt77byTTAfsP/CJh25/5uE7nn/szpeevOfPz97/2vMPvfny4906tc08L2Rau27to08/d9t9j9x+/6N3PPDo3Q89eddDT97x4ON3PvTEXQ8/cfcjT9716NN3P/LU3eAPPn7X/Y/d8/Bjb/z1nYrKyiyK9eiegRGKMoOC/8mnXxxyxMk79N336Zff8KxSxrdnxSgkSord59CZKZeMIbF4WDNRkPXstdM9993x+msvvfHai6+/9sIbr73wl9deeOuNF95688W3//LSX9986a03mV/8yxsv3nLzDVv22MIJW5JkAnG2GCJFIUxunquYxSgUsopikcfRampevz4rFDgJNTXVtbW1PKLbt21TW1NtnDic4Ags5+TmxaKh/uOiX35ctOSnRYt/WvTLQmDhL0sWL2so5bny5ctX/vTjzz/89MtPP/Ed0y+BLPqFVCpIwUtZJCdlhfc//oT3P+3atOrIPnKcCCFF9dG8jANAMDEcZiFWEM6EUYNlzDK3yCzYITYTf2QJ8OkdHK6ErlnoMYk1EWUcsgw48oR5xHak+CCDOPCYJBFrji0yJV0TVE4yITWkmIUCQoyd+wCBKyQh5PiiDFW2Ms8QOUSKqAwbgxOQ1A3rjEvGU8PMA2UC8VAFlUInOtK45giiu0kArjSikyi4khPiBBEXt5qUYU8jEeJZZSNPdpEFoQQTNaSuEumKwYImdycyWmShGk4QYRGcVCrPDswIQWIUIfwarxV0xkM7JtTlGRxcCLVYGs8qvl0KJjmCeCZjiFkmsJS/GOWaCSl8RRQYBo4omOGFdAEYgAUj1EiUdghV4S44IYkdtWBwM6LtoFIYo2MWbk2sLkZMToHRxDKOF8pWnoROmUbbWYURPHFwjbihA0tx5dEEI4KXD7xHBnlIqNBFRBNtA3MZIzjq27d3y+bNl61d/8grH/3j+7XrrEmDV+bOe6xCybOSKoDciw2qaLBK5pJV5qpQVulW4VbICxW8hUp4kTnH1kCqSqrMrVLFJnmxxos1VqzNKuvyihqrqFVFEzherM6zKg817sksF7EKqxqqnv/7fz78alHu2n23vh3btysnTRvMXUbGZjKjRpWiV+BoIAoJLQugM1COTWhE6VwIuH+TOsIAjHh+AclBXp/rh5+X/bh4Ra4ikXiZwtrdeMo1SPXixQqPLqZkLcuDZ6Wc2xvvgCNF5jLJzLPiP7/4z133PbRq1ZqC6ZgjD9lv7/4/L1q0fNkK5E1qai447/QBu/Y84pD9jz7iMMGSvvnm26XphZMTSnS8BN+TLCu89Oc33/+IH8RcMYzv57ffugdfBB56wL5HHTLoqEP2P3Tw3vvuuTtfxTWtrUXFeWfl/t77H7/85zdc0WEVqm++5c7GNNGQNunWpX+/Pgfut9cRB+/3u8P2P+Kg/Q7cZ8AefXt1bN82yUWwF15+7bW/vGNZhSIbxeDkAwhJLdJzxYzEUPG0PSrfO5JlIUxBHamMkVmSop0QF4OaMw81RyWHgTTjaIC5RDiTXCbMQwoemwPf4bssZ8tcAolZ5pbWmHjAsAAcq9AiivObDEu4I7CFCxOHwTHLw7fKLI6d8cCAkjtO1bj/MKADFAJIyQpmhYJ465Blv9YFalkm+IVCVshkyiTLMgXwEatgVuA+khWlAkxTDGYzpvBNEFjeWITlsa3GoUtiKNJ1uHDQpuiQg1FMTj85v6QNgpug3YTjNKmMqTyMoeCzX8rWl+zTL7575W8ffvHNwlxZi+bNunfpmJFzUn7n3fe//O6HPIoU87qG/PmX3/j140rbNq223nLzjAQilVyW49azbPGK1Xfe8wCf08im547bnHPGyT//8P2ihT/zQSjPS3vs3veYIw7uuc0moy49PwURX6D+/MvSKDzPyhyqo1L3PC/5y6/85b2PPvGyQNwO1dtuucU+A3Y77MB9f3fYoN8dNvi3B+27/8D+vXtu36pFMzapwXlrYO+89xGfl7g3XRkPqGvm3VxqdGF46tKp44Dddjl40F5HHrzfUQfvd/iB+xy47579+/bmdggxmmb8nvz0c3/moSczIPFcRoQAeIJwicYwgZgH08Byizq4WSTIYIjnREhzMRCwSYCSN1Qkp+UeLCWmee4GxoR57DIqYac02GBowYhDweufUDTJrDEA50ZoJNvIQYqMfr0ZLQRy9JkcW5SVGbMp/pjE3RAnJNDI3AiGXAknIRAvmxAHAkeGnMvKUnNUHaGbDEkZEgPUnbRyfHoQUQ+ICxOYlltIwBxjPAfgCXaoBI+7wI2GeV7C2KUcPwk4hCIDwwU0EqgArExURAiPOGZklXLFO6iC6Wag8cpCN1xhl3xJsF0hZDKxwWYwvTzFQgKxJFtPhmjm3ByKEamyGnka8Zz6ECuzX5YuRztEZpU1Nf/8/JulK1c1eLzeKDfMqwrFJlWVxFn486I8x2GOrwie86QQzhz73ON+yUvi7OclUynPG5zvEUtxNtYqW+6F5XlhhdsKFVaouNyzZV5cruIyFZaWtMxtWXBgZivybDk6lq2wCmB9VpGZCjzGREedTSN7pUEJmUUOcCUT1VtBymRZZWXVLr17VVUW33733cVLV1hW4coiT+opbfD1q7V2ua1dofUrtG5Fvm6Fb1hXVcA2lHzDWvi2dpXWrzJgw2rV88KaZwU82zff/TR+0tzzLxl33rDLzhk66uz4zefSs/n9Z+gIfvw58/zhZ513KTOic4dddt7FY86+cMysq28Wb2NIlwxIgFmSi5SNmjLlWeZmYi5UWLEYSFaQWR7VcoNJTC4qrK2p6Nen54B+u7Rq3hRG2eXixUvm33DzhIlTLp807YrJ0ydOnTlp+qwp0+dMmTF3yoyYp82YO23GVdNnzL3tjjt/WrjQ8Vdij/7ngEpumRX4jKdjjzps7tRx10wff82My+ddNXXQ/vtIeZeunSZePvrOm6++f8G8h+++6emHb3/2iXt32623WTgxpUF+pvqSL7jrod67D+qzx+BeewwC+vTfv/ce+x1z4mmrVq9es3rtFZNn9Nx1r1677dNr931677bvzrvtu+f+h334j39xstxLspz0VKx49LEnZNatW+eu3TpJwSNGLA6bi92MeB4y2sBBkMOI3uYgebSsnBenVc7tysSthELS9bQRDidnSpo59jnnmEDJK6qxpguFsjQpEzUphUsuhKJ9LlSiHxIzTJqzEQlOShlvqEqyGCyBiKo55UojIQ4a3vCORYmKggPFYghYOB2iLMOWWJJ5SjgXWnGRKVoUKIYhFgcKQai5DAx+LiNF8NyhuAKSH0h6GLHA4KIjQghDmDIGWRErsoGpuGJidVmGZ8cyOFFR4maucriUcwqDWvKMKt7JWagAoc/95rFNihEMVpPlZsmExMsIbPKgAhLCKU7czZCFIEMkQcDOsXMHEYhCw8ECZwkUUSxQxE6GiWQKQIouGHLhUcIFkWDSBMUwSkQBZpmDCQHLusgDictl8WfBciZBCTdpKTMUlfuvDFQpcKPT0DUZA0wJk8r9oNm2WfduZ5x2ArH/8sl/rrj5T398+uOn3/nhxfcXvvz+opfeX/TiewtffP/nF97/5cX3F7/4weIXPlj80vuLIV94/+fn31/43PuLXnhv4fPv/fTcuwufe28h8/Mg7/z47N+D8/x7i557b9Hz7/78/Lu/PPfewhfe++nF93968b2fXnr3x5fe+xEkyPd//PMHi1756OeXP/z5sbd/nPPA27Pu+fNXPy3p1L7tqEsvzJQbuZIt9wF9ciiJGuQw9Oug9ATy6AtTo8SxFD2FdC6ZyWJtnAPljOF1zfr6hx5/7uLLJl1y2aTHn32pZIWttuoxaL+9Bg8aOGjQPoMGDRy8/8AD9t/7gP0HHrj/3rv37c0XSNxOBCtmxW222mr//QbutdceWSYnAly66ar37O77Hn73vQ/dfOstNxs9fGimUn19Q6nUQDKFYmGTTbqK17+8YcstNhEsacWKlevWbwDdCJw/RQ34lH/z7XfLV6xQGk1qqo875ojrr556242z7rhpzoL5MxdcP/P2G2YumD/9hqsmn3ri0TXxn4aG6qrVaz797AtZFLpuzfr//Oeb4KY29Ovb56oZV/7h2mm33TBjwbzpt1w77dZ5026bP/0P10yZPWV8XfqPPVDmLFGF8VnLOFPceTFHRiRNpcrLGaKZmI2TlNScpoBJMaWouPOEUOSvukgTMwn06+CYlnELhTIqRRrEZiWEYlgMkFCTLMCYxUhRhHPukbREI+grfAvNsoo3oqaE5KEksuPwOCsYM06YwTEXeiiLMBvZQcKGdLNfz2eBm0wMk1l6v2FSoOlyNBNVZqZyiBcU6TqoWyiWERm6TJnErMYRirkzi7dgkZwF7k4JZlgEi8INhplhaMiwJVjsHliCzMzkphyqvuTPvPT6+ZeMPeWModwR7338mRWy3fvtUlVZidSUff2f7xbccf+qDbkX4/uXl157++XX3sz5elQxdtmlT6cO7bjxjLgBXMY7hpdeefOJp59Do0XTuumTJ7RsUl1av7aeA095si6dOxeInjdsvtkmhpJUv6GekdB0xCJdVMkwb6hv+OHHRZztsrS2tubY3/32ujkTb50/Y8FNs2+ZP2vBMgPasQAAEABJREFU/Nm33Th3wY2zb7h6+oXnnd26VUus3Z0vZd//6B8qFCzLVq9e++/Pv5SIZlybbbrp3LgdJi+YN/WP10z+w9WTbr12KvjN1/BGaRy3Q9mDu976699z3oHp10GhtDmRFlplLLFwbLJcJB5cFiCwuNgjng7pUYKyBYuVhJydcN5hghoXghTC3MwgFDwQY4Q7s2DAdVMMeGXs12RwC1NCk0mS8QeTwyCWlF54h0hAZkBCkTm2FgQrJBgIETw5aSTpbpCwYWwEB0mWBCF2VGHwAARAI0KeEJhjDUjl4I2WYRUsBc1lIBsNw5IiGp0iiShc6IsFQCPyV4ywiisV4eUgjfxQM7IMUiAWUyJiwgMKCVOjoJyVBOkJT4459rHdSp7IysC4wEB+BTMTLEsM5nBAiCChZJYtSV+6tWpa16xJ9TOv/GX43Ntn3fPyO18uXpMXeYuX515ZLNRU8VlFi35cFJG56wPwRHHxkCXf8IVbdoaZM8gXgyp53pDnOd8e3vfep7Ne/2jGG/+Y/sYnM4A3P57+Jsg/pr/+8fQ3Pp7xBvM/mGe8/tH0UPt4xusfznj1w5mvfTD7z39/5pMv10uZWTzfwjkPH7IAiJ5qb6zFZJAuClZGcwYN2re6uvKnhT+//MrrDpP38aUGxUfBHL3oYzB5ayTsIAsRABTSMhVkMZQWpmSD1Jo2rd1/7z0OP2TwEYcOPurQwb877ICjfnMgyJEHD+LbzCMO3h848pD9jzh00GEH7t+hfTsXzxrc0KTwQYdE4h4PUnAKkhv+SdlIQtFZFDzWkrwUCA7ivnam9q2aXj938ry5k3ps1oVtLfvls9Ztt987e+68WXOuBWbOvnb6rAQzr5k245ppM6+eNvOq6TOu4hPXHXfc8/PPv/BYb6AVJgIpZpDcRHyZ8n677HjS7w454aiDjzniwCMPP3jbbbYiyebNm++378BB+/Tfa7deu+28Xc+tN2vfso5fPuVkL2p0LuHBzFRdU9OqTbvWrVu3ad2mbRumNq1bt2rftu1m3btt1r1rJ5rStm27tm3btu/QqnWb1et4NJf4Atpz6s15RJkVFi9d+fhTz/Heo9dO2/GpMvIkx8yYEliEi4gKVhA5GGuQZOCceVAPZUciY0CAGymHv2AYanABlxJhiAHIYIhhQhIG7Ai4QiPM6H7SQuzlIbTYZZOB4UR8DWAQSc3glQEHIImJQeqdjBEckyELdloSElWFt9AsSxtlSLEBEpd9MIvEQmoxeXKWUGo2D144UdJKpFkSB04IklcaiQmGNERgZTsJjtJAF62QJseBBD+IHARv6ZkHH4AhtLkrFWeZVIPkMuGQY/2re8mkuPDPeTdHHnTZiYdEsJJUMcCUrCNqMDYWlycunAx9liDDd6ACgVvuLIyEM4nLkUnkH0gEdBHA4ShVJORAvGSGABmLoqy0gohQHNBkkrTxGqsrZpzgOUKHnsd9h74CCQbPhfAubIAwgSQbYcRjyUOAH+wVIwmTTJaVCZOpYKUh5552xqknbCiVXn7/s+l3PDf6hieHX//EJdc/een1TwHDr39qxPVPjZr/1Mg0g4+Y/1Qw5z01Yl4ojLj+6ZHzQwc+MHz+08zBmf80VqPmPzHy+sdHXP/Epdc9HnDto5cC1zw6nPnaxy657vGLr33iomufvPi6J0fNf/q6h9745JufO3ZsP2P6Fb133MZ4BFOp0YjYXhfDuECczYMNIbPARZ0GyUX9EGVciGFp46U0nNnMsHPRRr3z3seTpl/14CNP3fvgY1dOnfv+x/847NADr5o1+ZqrpgHXzp02b+5UHqbXz5l83VVTLrnovM4d2+PCc1VXNzn66COvmTt15pQrOLNmPDAzMRcq3vvw01tvu7uhVKqqqOCDVud2LZWXaptUV1dVEZ03kR98+ImyilzFt//2Ad5g1jap4RXUwKCjCgVenlxZ7FqZUCkvFSsKnbt0at++bW1tbVV1VSWp1NbywNyke/eaJjX5xje+lllFBb/UxatveAgnNM5Mljc0dO7SsXOnDs2a1lVVVVVUVlVXV7do0bxzxw7NmtXlPPfFMK5oZ1rTbjimZpw0WG4480BQCyjjCPOg0JTocNLi2ZfOsIyuYyIxOYQFhw10SQ7TPQsMJ0jDj0MKz3CAhJihW7ZViN2oFD/uJhOIcAKCJ2ZUMABClqTww0zJiwsrULmMIWaVh6EnGX/Mjp4ah1N3UsUBuNBAyxpX/d9hMoMTU1yBcv0Xkt80hThUeZEPG2PymFgzLkt8ELGPJmJz0RLxZKS9nEhKABwj3v0IFfJEx7mAILwRh/wfsBjhAun3P/3MR6nX3vzbtz/89OxLry2468FSyQ8cvG/bVs1wSNBSnt/3wGPnDxvzyNMvX3vD7RMmzvzuh58si9G0rna/fQa0a90y3i7hD22ZZ4UV6xqmzbp62cpVxDzlhN8N6LuT5RtqqnkDUAMHxX9++tnqdRtKVvH+h/8kB5i1TZrU1tZgHQV64jnxM7NCVqyoqOSbdUgUY27ZskWPLTbj0VG+HSoqK5s0qWnbulXXLp2b1DbhKw70fgVajT8z4SsSVDgv5Q0dO3Zo1759XW1dVWVVJbdDTXWzFs07dOxQ27RJHr1VeZRKJRCziKuYchwmpPE70oQjADjWRMjQBwgqZLCjEFCXsSVmPDsUw2QCD2mgWCrwsrmJXmTMCj6arMJDYOZCGBiXWZqwMrgBcPC7kUKqcCuxSTQ3bNEiO0A4d8fAUEMSmkGBBocoSSoQhapQC1DKLLxxaeOIYkLqhi4m2IaIdPHpHiJoD1vMgnbBZIrGYSTYwRHV4ARBNAwVmIjxYsYq3KPpZUE4zhIamJTxImuowAoNlzKoMtMSE9fCcRQLSnqEB8ErHtAP9XTBRAoHgIGaEmZB4DEWkUlamdBHIUxgGhJFF1LKhvcA7JFbyExpsKxYEf/5Q6+tNp120SkHD+i5cPHyW59+85Kr77/pyXeWNFRvyItVxUKT6grUf07/zgRIOHGOaRzGFNMjFAKIABEhk3Hb1FTyFYme++fnt733yYL3P13w/r9uC/js9vc/u/2Dz+744LM73/9XeQ4E/P1Pb3svwbv/vO2dT257+8PX//11gws/tU2qxOel8O+0SiKIKBqwaKgEIxGs8nynnbbv3XOn5fEPAz63YsVKOEBD7ktXrlu2umHpOl++AdDKDbZqg61ZX8o9k8T9u3Jdw/INWl7vS9f7srX5kjVACZMNcS+qS8c240YMmTtl9NzJwGWzJ4+ePXHUnEkjZ08eNWfy6DlTRgUyaeScSaOmTRi+wzY9MnbDeTUis9zynNZRhTtvBYGSU1Fe4lXWc+fRx6XUVDLJ6Sm3a+N/jFCIX8j5zatY3LR7l84d2lUUM/EoFm5lGTg7qR223Xre1bPmXT3j+qtnzL92xg3XzbzxulkbYeYN186Yd/X0eVdNnzd3Wt8+O0s5UTZCpugaM/nyk1eDeUPmIKVM7pKcO5g8N1iOqGQhyuGGCGkZIgUVi8XfHnbgvXfefM8df7iHGbjjpntuv/Ge22+4e8H8e267AbgXZMH8u26dN2Pq5cVCJmPgIgJRjxcrH3/y2R9++KlNq5aD9907U8nwDDiroUxQU25m2AiaFQAJgckTNEqRJ0AkCYlCYIZBgJkpMZnLABUsEyNNirSCgIpzVvYUUdhLtAMTbqSkoPJwQ9cR00/4OIGWwUlqMaHoFrK4yr3kSICEoDGKXDhAmyRs48lAHiZcAe6mXLjmkmfJI04MI8CdKUkQuJkpjcxgW2SVSCbjgleeIcwQW3BY4TrX/4D9mgwCVENkaUISyXjZLGUCHikGHqpoeHQDWm5kqODKc5PhwmPIHRypPLwlPLQSIlnYOw6sLEU7dPGMvkz/M7JwBNcS10KfADB+1QkSf44/hbgswxcmjrUrIVTMKgavwgY/Dq5DAmXzICwoDMqq7goGvASeZuUYU2Ckz+u4gjIahLIUt7xttMmELnGpDRZ5mnAR4nSBK4aBZNG+RAh/XmpZWzXlylHTJo5t167N8jXrvvl56ZcLl3yxaMkXC5d8uWjpl78s+fLnJV8uWvIVsHDJVwlH+iWiRUu/Xrj0q0XAsq8XLfsSw5+Xf/XLsq9/Xhrwy9LgLGJehnKY/LQkPC8M558vWvrFomVf/LTk858Wf/bjYmL9sGR5oaLi8EMPePDeW/lGquAcVZE8FQFRVDSC/OFlxvGVUo1w3GKAKI1cxqlV0LHCM1RZlHgg0EhQoFENDQ3v8WP551/lqatf/efbt//2brO62i4d2nYvQ6f2m3Ru171T2006t2Vu16ZlsVDACeZm1rpls66d23Xt0JpHNu55W+lWaLCqiy4ZvXjpMpMOOXC/QXvvYaX1Wd7QrUv7Nm1bY7t27bpJU+eOGDv5rPMvfejxp+EAm2zavXWrFlJuJo6JmcFM4GDdu3Zu2byZC1Tr12+4ZcE9uw44sP8+vz321AvOuGDsWUPHHn/6xQMPOLr37oOumfeHDRvqMUS1eV3djttuaTyLTTU1NT0229wVaeLm3Q8+2v+g3/Xpf9Chx5x5ynmjfn/BmOPPvHS/35y88x4HHn/q+WvXhwd0cbLtdlsrbyg7jJnk8MJ2xHGyDF9KUyAqT2kOpaBDTaGX0WJanvMSgWcJLZdofPCtvJ3u8YuvIUIMLtIllMQjL/pgIMGS5LzkIMLQ4OS4EmaeVkLkaEAAsdnBJfHQIFsxrPFSernGWdzSpBfxy8Fwaxw+/KAKhI+4wpIVz4SH/ytEguElMchLmWXGEHkF37CywMMOJPRhOSycWQrkZrIYSgMZdOYUZBYcGFQbWFy8HcASBq/xlkfCwVVowid5T/54NBDSuakwd6icdrFuVA7XcB22L1664quvv4VCWN/Q8NU3369dt65zx3ZnnXFKuCWWbPWatfc99PhpZw8bP3nWx//8N+3iE1CWWa+e2w/ad88q0lUD0XhmO+0sVM6cc+1Hn/wLh9v02Pz0U44txP8IqnZtWnfq0JYGwX/51TfPHDLi8qlXDb/sCkgCbdK1c+d2bTJSpi2WKiJ06iAftDbdpEuLFs3QpK1rVq+dN/+WfgMO2HO/w48/dchZQy4784JRR598/h77/XanvnuPu3LqsuXLLYaqqiq36bGZ8WHJS02bNtl8803DA/7l3377/cG/Pbb37gcMPvL3J5w74rShY489a/igw0/duf+Bp55xwZq1fI8vkjCp547bGe/PlAY9NJlJgJz+k48YlgfH3Mzh5BHCguPIAONyZ87FIUYMHTo5rISiyw4Yth60E8LBSpx+tINvGaa4x96cIUKi4VhiEcosqDB7XKh4jia4YOAFjoTjgsph3SIFTMzKp4NySCK0hSShoZMLRTgmjN0b718YgHlZSgRX1G5OKiB4yTEuSw13ZWNOZaghNSNcYsJwZcaDAYcQKIcT5cok4y9Jw61igJQXC0Uus7KtBxsrJROmAI9JYkCJFV8AABAASURBVCYbZilFIAGAcxv5uoQkzbhyFHAtwWN1KRAWGgINBGJokV/og6KCgmIYfhXCaEIgVlAMU7jJjCEGiGDgyvNSadWqVcjbNK3ap2f3G8eddv24Mzq0qP3w658m3vHMMaOvf//bFVl105rqGnQWLlxkHAWwaGVkkDaT6PQsx7mZLJoCB6m6dmgz7tJzxww7a+SFZ10y7KyLh51+8dDfD7vgtGFDTh12/qlDzzt56LkBQ8496fxzTjyf+dwTzz37pPPOPun8c0+EOQTp+acMO/+US84/ZeSws9u3bk5YM6NAs3KFPEljS1y5iZFHVOcZy+Er8cls9PCLec194y/vvPXOe7kZ0r9/9Mm2ffbeutfArXfea+uee22984Cte+25zc4Dtty+78uvvcbxeuCRJ7bvM2DLnftvGdK9tuo1MKDnwG1778tzw+V8gOzQtkWX9q06t2vZKaBF53YtOrUrk606t23VJZitOrZp0aFt85qqSrYkz3EsHpDRG46aSzml5M6tzS86/PKXl0LF/d+ff/3pl999+vWP//pu4ec/LP78xyVfLFz6xcJlXy5c/hWwaNlXPy37+oclX/+4eNW6epIJZ9wFYkQDunXrcsbvTz79lBOA00467tQTjz3lxGNOOSng1JOOBU475bjTTzn+9FNP3HyzTU10RORBZuyqZEBiZcoyWSZGdJdlIxAy7iyFLntOIfqf4bIY3qF1s97b9ei13Ra9t91856027bVlt15bdeu5ddedt+6y05addwa26tRzy047bdllq826FDiNZllENDJwK/68dOUd9zy4ob5hn71277nD1kqtkZnFxpOwQJQxuRIaN5cHbcYNwGW8gKHnIWA1z03YiuyTNKjgw/MsmOVS5XGq2CZHAc+I8ZdvNBEmySVST8zQUcYM5RlyUA8pKOcT35l4vIEm14hwbk7aKACBwARTnp4z4SeYyswMZwDqcPLgBCWm2LJYREKsxmGyhAcSu2Jy+CEVK/GyWDdKYQmvycQJ7EqaucTj3ZNzWAB8jmkIDTTOA0z8QyTAcQgxyakCHWbE0IidlwhYJnqKIiu6iHCBNEUxkP8h0UQFHhbglnkjgk+4kTMZgjmplu08bTQsGX8pjDKD5gSbBRK4ucnMQB0nFgMa0oInN6NhBIHKXajIlBuTIh8QQISSMqEqU8wKxRzMFKMxrCMjbYoPprCI1Q37cAZBiMwYihNjMBqRzGTxYSNx0IU0RQwEmRl4mjMQupfp10HZCTczgmMpGkQeypvXFIedfdJHb7/411efeOrhWx+996ZH7r5x7IgL2rRuidH5Z57yxAMLHr//D8G/5w8nnfA73HTv3vXaOZMfueuGh+6c/8Ad866dM6lTxw5S/puDBj1y34KH777podtvePD2+eef+3uU+ehy1fQr77v12nv/eNU9t1x9963X77jd1uzxTjts/egDtz73xF0vPfPA39945ot//vW+O27oveNWRZXceXNPrz1OIF0xWmOS8SeGYQ0ekCpw0RLqgmAWhtGR1Ey0XbIYmZnKA47ATXFwaeevAky8IV4VLK/3Et8Y1Vu+QaV68Wrhwfec3MK87MjcLM8dZmmDvN69lMtu/MOt77z/oWRdO3c445TjWjZtYhHNN+nWaUC/nWsqKyR9890Pc669acFdD6xcvQaSnwL22n2Xls3rzMzFrgEiGUgjP/nee/bbtc+OhcxQloxfxn5Zsvyv73380BPP3HbPg7fe8+CDTzzz5jsfLFy8dN2GDeX8KgqFfQb0G7DbLhaZy0rrzznz5NqaaiUfvJIsX7n6X19989yf37zn4SfvfODRh5780ytv/f2L735csXoNHUQrM9th26326d/X83rIslvPFZkpuckhcnGMY0OQsyAka3AQlBxDClF5xGFOmGVKeFI1S87gWGIKI8CSJt1Anpk7lwlc7BuIcmOn8RPqQs3NDFmKq7jlDWaAubBFWchM6JixBOIGJUUJCTMjkGdisRRA/x0GijyehZQHQCtVjFtWfAUHNSAwxcpVBoWtZPwJ1OlaHD8Z1kxpkSK0iUF1aIE4r3kpdyxC4iqhhRGbFJvBsUSLRCjTy1mRDPWjL0+FGwxDo2D4Ch8Rz0AA2FB4ICCzN6mpatmiWQqoLLMWzZs2qa6yvP6iC8/ZY7feWSEjMgZ5nq9eu259fX0pl/KsIOvUsd3ZZ5661RabWLlDpCfaqA/e+3jOVdfnuePn96ccs1m3jrFnymtqKvfbu3/79O3D6tVrH3zkqRlz5n/3/UKSqKwo7t6vz5abdTMKzFxGXTFHumam0oDd+vbvt0t86+Go+/oNG378Zenf3v/HI088e9vdDyy456FHnnoO8qfFS9esW48KDoqZbb/dlgcdsI/lpQxHpQ0XDjmzrkkN9kCe59wOX3774yt/eefhJ56995En8fDqX975+tsfV65eG6VImWyLTbsddsD+Rs9cJtyYWAFn9VhdCMVRAMkzpcESjQAnd9pstCz1IAwys8zEnzGUe7ygoekGIoMPEQZWHvSC3RQpUFMORbyQOEFCU0qhaJrSMCmByXBoUC7LcjEsw5xD4jhMDMngyHIkYkCFM1eem0EjlhlYuR9w3CwzMxm4cBMtAQ1OYgVtIQ21QlBIA8rMglkmg864kIKaGYioSjDJFV6WoZRRcnCFAqeTmUOBUElq4g9gQYm08CB0uFzCFtwhRKHYoZNxUXlujdJI38SAKVTliNxUgOnCxjCNVWUEHeXRHrPQgGm55y6FmjwkoiNuyk0mBg5xI5wZI5NxBhCYzJCKKXStvsHXrF0LVVlZqMhKzQobjtln+4euHnHC4H51NZVvff79caOvu+vZv65L9/1PixZbscLxwHEAPO57F3k4Dp3fZyjHcU8+RujqiuzA/fpPGDNswthhV4wZduWYiyeOu3jy+EunTBgOTL185NQrR065YsS0y0dOu3LU1MuH80PQjCsunX5FINMuv3TqFSOmonn5cESDBvYrKCLjPeeS0x0QhxcRqY6FOpKMl0igYcPe/fsedtCg/3z73SNP/Cn+LSgr1DdYQ86rbs6jZENDDqyvL60D1m+oqqpq1rSumh/iSnl9Q94Q0lJ9qVTfUGLmM1uJpw+1mlMb4SOSGguObc3oi9KVIbIYrAGlPCfb6JPRozwmLzGbl+R4akhzTOMvn7Jjn7126DNw+5332nanAdvutOc2O/TfZoc9tt5hj6122D1gx9233HG3rXfc/dGnXkxeqZoQzIBeef0v/Xbfe/c9B+2x5+A99jwA2H3PA3brPxjo139QvwGNSN/++w/Ya/Da9fVhQ8o0LyfdoNwDcW7woChUnHinrwCaJov/pNlCqCzEnlAxuyGVTIyS8vos3sxsyEq8sQEasjyg6A0FKxWUF82LeYlDhDYmJjMiZYUGL9zzwGMf/uPTVi2bj7p0aJbeDJgZasRgBguAIMmIK4E4ZwECLrPMUMnMDMxNmTl3ByuqstAUXJhSul+cXQyOg8CiLA6wiw2hLUKfPYJjFv5gszhiTPCBp0DksnDDigZeAAvbtIYMBPDQjzUcytBNWhkY8WRmMjlxI2bYZ9DoogiCYSBsGOEgQmAM0PBrsSpjTrqpbjNFya7EkhUMVGnkMuKibpkCQZDBkpmUKfdYDU0XNjxwHCVTRonBVSNlSX8j09BPcVkpJLUEOndoEUeCK2VKw6382uFBOyGJ6ZakqDlILgoOqYEQxDOzRtSsjDDTVW4x4QAV2LiCCAvhwwJxeRJ4ygRCZCJ51CYkXIaujD/xYCtLTKECTg3RbEgIoyz8KdmKwckRdrmTdcjBXTESI9TCUVzKQgWdMpNsjF225A0u7UiGBo7MUffQdJzFBRusMROc566UO/wcJyxYMee5l/KMJ0RpA5+4dt5m0/0G9D1wn90P3m9A/1178UaEOD2333q/vXbdf6++B+y92+B9B+y88w54bt2yxb577n7gvgMO3n/AoYP32n+f/k3ramXabNPuB+6/14H7DThk8F6HDN63907b05fq6srB+wz4zYH7/OagfX978D5H/OaATu3bkHnLZk332q3P3v127t97hx223KRVXZWV1hl3Mrk5+0SxznES+ePaLPWFCdONsxs1OhQm6NE0NAG4BpdMZZymBDAKZsUsK4QEI0dcLGbbb73lJt06B09q26blDtttZTxxlJtyV0pDLh7Beclzp13meWY0XIXM4innpQzI61XaoLz+X5/9+4YbbsF1TVXF73578C69ts2sZHgQ+n726SccNGggX62ZBEgxN6+rPfaoQw/Yb89QIyb3YexRkjFZjLatW1459tIjDtm/fZtWccZkJsvMTP8dBAWgqbF7544nHHP4tImXVRKdhOWebzji0EEXDTl9i+5dyRyGR9NQb4RENfpjaVJT3X+3Prz0dmnXghuLfkmRoEdbQD1yzBR8riBIPWlwaCSwdCDDJHBxEFhzs8SRizLhxdEVgmDgBFuHdIE7YrGTIptQ8wgJU0LqTgWK50KSCm9lEyn0c8WAA3hu5Bxq2ASby8xCLTPwAJ4X0G6oClFEJkKSuEIpLhnZBNuidYHICmYGf+OTMQhqsLCUOB8mozQwRSxTeeDH3CyTwTGztHLYkFpcLhkPFxaZ53keGhK3rivPlZcyxSCLnAsQziIfl1G5yxETQ5BuuMIeXAy0XMZraEXBeHEtmIqmymJ8hjJTFl8QtN93nwHNmtaSb+f2bQ87eFBlRYHYldZw07w5Bw3aG1Hyrxj4kjiQW27WnZfho357sBq4C3jBLmEiLy1dtmzazLnr19fzUWdAvz4H7b9XTXgzkVTecOiB+556wlHtW7ekR7CUBodz7/79Tj7u8CY1RbRC5AgcnORxa3nerWPb8aOGHXXYAR3atDYEisNQcpXcCIyqw8FIiqIya9OmxYEH7DPvqmktmjaRhZDnzFGHDR4+7Oytt9i0slg09iIpKxmiIQP9L1RXVe66S89JYy/deovO3O9IXTm9LWskXSaz8AMSDlIg0hcINFwx6CUEe0kabJblnrqZNlEKc0UKaKPWKAwHqOXmZuDJJ1rKmBwGi/IgcIUeSnDcpDz6QtcAlIODC2SImJ3LHPtcxh9iU9mDPPkIlxkSNlgsXHhHJQnFSGdMSRRsKaH4lENLqUURnPKMZASfGKFFadQeqqiFCgyMINAJdZInTrDcsQkkhKmiJGASnpC6zEIlLkKkJgYjiWGGR2okeR4YnokRgckeGqEIYPQhfGNsZmhE0Wi54xGyDNwUUkiNGftEoCEuNzMJfuCYQQDiPkYKLTpgOHOjPGjU5KSVFyqBUqGqVKj2YvXKtfVr1sYXBIViheK/M+dtcL55h6ZThx0/6fxj99hxq+UbGuY98Mxr7/0jl35euswrKj3+karM6SCuFf45IoQiH+IYg1hmyoxBTMsbzBuYOcmWlwwScF7IGqzUYM4LFm/NmT0LI+ycJ3081/JSSJkBcpdkBpiymNPoljTbAAAQAElEQVTiJoqMRFgBMiCxmPkAU6/S2nGjL95qi80eefSZP73wmivbbJPOU68YNaMME0fPunL0TGBizLMSOePy0WXp9CtGTpswcsr44ZPHXTppzMVXjB62/VZbRDSZm2UZOWQEVGYxJFOmhMdcCBFZ0HtJRv7Kw9bZcLoD5KQtMVOjV1ZY107ttty0+1abbVKGrTffZOvNu2+1eTeedUCPzbr32DRgi41zXW0N/onqXuKZ2bF9226dO7Vu2YLf1ZcuW7502bKly1YsXb5iObBi5fIVK1esWLV8xaoVK1etWLVq5apVa9as5YCSWvIghoMB7KVYSEwMKCopeBwrC4LaBZFRGDeU8sxynufVxULBXIqMmNN25O68cuT4MitET7LMsoIKRWVFFThshaxYMDyI7VYgxsfg7K/vfnjn3Q+W6usnjh+5efdOiuPhhtwY4VvcCCaXkV5MDtPFrUVwFIPr6bA4AvSyWDBgRT0hoYYUVTN4xP+VggeJFhC5u7JQCTZ+CJ0LCzHMZR6ewCkcEgVkJuE1CdIELaGqGCaLRSzJFh8pRRdHPtTjkrKNng2fcZXtXQzHNleEgBD6jg5XSkCyRls4kRUKVKIY+JFMOSasJldG0P96dkzirkvnQookLEnNhF1cYUucsFUMBOENGmMEwRNNSky4gTf6of1oo4AaiKssJguTYRISEGpBQSQWGkgjI24TtNGCjlOHrgRHaMtMXGYZf2HjiQkPJ4qRfMGNWiKx4JEuS8wmAwOMzggiNMOFGifWyCixN7YmXMEvQ0hJIsnwhSJQFm1EYCdvQUfQkAbPiSezQIP1/3eRsSeT5J8GlJUcf1wYKzTk4vUahgtnjk48l5Mh4hAZj2Dn7UqOJmKAe5bWcFyoPGYMFdZCzUv0OQAm6TFzG0SI3PKSePbnsGRmIrfgxHNcynNIqcTbRjxExHpDmvMs9kiRC4j0jPySrSSTkUhwFaMRcRkClWeXZKIUJabFECllxjdk++094Phjjzj+uCNOOvHogXvuVlNdYUm7z07bjrjo3IP23/PgQQNHDDtnl57bWU6ebF5u8YQgJbIA4JQ26dphyLmnXTnu0ivHDb/s0iG79Nye8p1KDbXQX7F08TFHHjL6kvOvuOziU48/okVdjcmIY+LZo26d2s2aPHryuEuOPvzgPXfrM3D3XU743WHTrxw1YthZbVrWGW0hWzUOY3VYRmBeFLft0X3erMvnThl3wVmn7LvnbrxHbN+mBe8d+d2hWW1Ny2Z1Hdu14XPjoYP3ufSCs66aPuHqGeM7tKozsREiOfrSoq7q4iGnXTvrikuHnn3Q/nvx62KXju1bNK/DA9C8rqZNq+abde/ar0/P43932KTxl14zY/x+/XtXZNFQciENZlPU0ziJQdNxHzpGDMSRM3wAgrkRclYURDLlC1rCRkHiJRbwjZA4/1X+r9fQSxHRiDXplK0iC8QmUznbkAVOYLRhArQ02ErDrXGU/aO30V444aCinSzFIJqEPpPETlmWFYooSDKlR1dmpgClAQ5lWXDF6Q3vOIPNcTFUiO5xU2UKEUwZQ4jMmUIDfe6AmKESGO7KwigjJKRAdwMLjsApIpJNavAdl4FzmciHm/rYIw6eOHro5JEXTBo15KxTjmrXuoUiz6yupuqU44+8Yuwl559z6uQrRh924L7yuDEtL/Xo3n7utAkTLrvokAP22WKTrm1btejSsd2ufXY896yTrpoz+YxTjy/yvSk/CEc6rniENCxf9suuvba77OJzrxw9bPjQ03t072xeIhmAimurCyOHnTVn2vgzTj5m4B677r5Lr0MH7z364vOmTLh0p203t7j7FBMOKQyH5qkD7G1Dz+02v3r6hLnTJww997RBew/YdqseHbkfmtU2r2vCTdGqRbNOHdput3WP/fcecN5ZJ8+YMm7+VVP4QoePWBYurBz9wnNPvW7OxFGXnPebg/ftteN2XTp2aNm8aV2Tan6Ca9qkpk3rFnwLs0uvHY8+/OCJYy+5dsaEww7cq7qigG3yERN5kZPjj5ZDlHleDuKNDCdhjFBysTkuyhfDM7mlVzVPBsFKFwWjJxQVfXTEpniAIG20BTMF/usstCS5J0ghISWzACVniueYYqCMohRCLqWBjoHEJfCkAI1SzP93QZ6YMW3E4yZqNCqzgkjeQqt8hQA2XLC4wSJlc+fNIljSITdtDKYY6MeixKSTWIZulIofuMFIjdT/HcGPK7ihGSvOMKS+hJSloKJj2UYdhfs0IY8G/koHghaAWJGpYyhykKdZoZEcQSPizIJYeYCFOIUDsayk4guvvHXz7Q/deOv9N9xy3/W33HfN/Fv4hcelD/71zXX3vTj99meBGbc9Pe+eZ776YVHnDm2qqirW5b6BV0/p408+vWbeLdfMv332NbdMnXPj3OsXfP6f752ojneJ5wrhycgUCdLttCInWfoYShaSpO6BmRRLXKQsg+YyhkxmkhovV3nghi5QUTQVFlvpcWgJ5pxE58URLrPH66OXGrbarOuYEUN32n6bt//6Tn19fYc2Lc448YjTTzzijJOPOOOkI35/UuCnnxDI7088/PSTDi/zzzzlyDNPOers03533mnHDDnjmAvOPO78M4/r3rm9mSntPPGiLkgWE0xZ+S9Ykrh/+KnwkMEDh5xx0pGHDlapHnF0gEqM240lj4wFL+/asfW44eddN3PCdTMmzJt5Oci10yc0wowJ184YHzBz/HUzx8+bOe66meOunTm+X6/teJZjTdfbtWo++uJzr5l15bWzJl03e+K1syddM2fSdcDsSdfOCWQe8+yJ82aH9LpZV14364qZU8dVFjg3pEACoojoHomxg/DosUlw89IufXqe9fsTfnfEwS2b1cIzyojeRxe4idq1rJs2/pIxF5210zab8bZBDKTOjQ+w7UGnC78mjghgpFwGa9Wi6UnHHH7ckYe2bdUsy339hvrXX3/L89I5Z5x0wtGHim/DY3OdZvEoi4X9F2mVr5S5JLOEOQJyT7h+nR0PHmRZKfGhPerlSu+oEIsA5XxpAoiH1yjSETqeA8iAOpDCY4YMEJ6hArB1ie4J/8GGKAOJl2kkAeHhvxfH2BRlIAqXXAjDDwtgXAE4V9JDARC+UTIZWAKHS+gyjjSyTkTglLtRFmcvWKiXxY4mOZYJZudS7CFaGAESCSZ2RANJPMUwcZRUHtGgwMiLBTVClZHyHBGxRC3cwBORJZUp2CJigkakLAgOzuCpUbVMJSn+wq1ZUI7c9d+RIaXyjQxDLDYWFdSpMG5GV9TOVUbQLauBwPGkjpvEFMcefsIdxI3cHAdSBgkYV0T0jQJaAI57GEkmPCqpwcQBOQQfsQXbIOIC5zkmFosLnJTBxGs5i4UEm3IDAxFhEjCZo/IrM6hfGYpRyCJdzj+pGqoevgv261DC4iGDbSFD2cMbRBiAy3AThXggwUAQ+0A18Xz8bzK0ju8+E0QrUtPRj3pwERjLRud0JCiLFW/hGxobcXeFTygWY4DV1VQOOfOkGZePmHH58GnjLz328MF1fNYy0rVmdVXHH3kgzzseqScffWgNH8GcHOIW4ZkgXtJwj1+Pq3P7Vqcdf/jwIacNH3LK+Wccu/3WmxrvRI3oRp3mea8dt7p0yKljLjrzgrOO49NR5JIyJgdakuV5945tzz/9uDmTR9187dSbrp0648rhp59weMfWzY1A5IuehKbCirdiSkQUmeWlNi1qj/7toMtHDbnh6on3LLju0Xv/+MQDtz714IInH7j1yQdueeTem+/641W8Blx28VmHDhpQV2nGJ1gpEpOZsUd5s5rK/QfuetnFZ143+4o7/3DVQ/fciOGTD2IeTh6774/33379LdfPmHHlpeee9rsdtuxOM8QwY5K7UiKkCcO5gmsWaSII2h1NMyY206VgYwctM3cFjdRFeQaFK+clWAomtgAqCB2G3MC4lC6OFnrC1txiENeTBBMQgJsYXCo3jXiKkcksgKcPSSjhJlaJKeMcYiqLvWITGnKV2Pzc4gyiRjzI5ItjwbcHgKPMS7cVsqyAmoR1ZnBkIpYypcGJEd2Bb/9NyzN0Ms8yh58V3AoJj68VLUYW1paZZQIyk4w/uQk8K4BXVGYZQpmFE7lwXs7P6ZcgxXBlUPEUgguNXoAZ7oqFwiGD977kvFMuGXLqpUNO4xeeFs2bZVawLDPlXTu0OuuUY64cdeFxRxxcU8nXo8TGlWfKN+3S9tzTjuVmue/Omx9/cMFD9/3xjzfMvnzUhXvv1qvYsE78uutOH92M3Qa6dGh73unHXnbRmQTae48+hfjZKXIhE2P1vGmTimN+O3jquItvumbyLfOmxekddsZO2/FBq4RcUQu+0AWcy6IYLqKU2rZocvRh+18+Ysj8ORPvuvWaR+/5Iyf5iQduSfOtj9z3x7tvnXf93MlXjLrwhCMO7tiqqcUvzzlZ4QfP5nldTcXA3XsNH3ra1dPH3X7znAfvvunxB2594qHbnnhowRMP3f7Y/Qvuv+OmW+fPmjVp5AVnHr/ztptXxQ9gJgOUhjMbF6urETFHDo8a4xwaa0i4HK67GsUwTEZjzeEHWJk0YxcCR9GUpVkxcOV4a1QPDTf4Zml2/ICghM+I7AoyZrYu9JyJ+IgRgCRVbs8Mp0kXSay/XiBOCOxC1QLHMsJxgWGHwFATl5uZYjiLBcPjGMDBAfcQHAzCiWSWDFmJr4RnBjtJKQRFksGuEUFdiRENyFCwqBBbVHJwUT0onmhYOAk9LCiN2wAFQggTMAmtyMyYLAjFAFMIwosYsdK3xIZsXFnwTDDDWVmdGpPc0tw4OVoWLn7lRgOogEKMFMUwWfbPz74ccdmkCVdMn3jljEmTZk2ZOOv6a28oShXSP7/49sYHXphz1/Oz7npuzl3Pzb372avvevqxl95as2YdCgWJ+Zuvv5145bTJk+dMnzlv9twbJ8647tobbuNnLryL7KSYIg0xHII2GKgxBQlKomW+KAQ2LFn8QYYMNECZWOAxUzoOTGl4zExOU6gvTCicsyLeK/MCFM93RB7qjrFXF/w3g/e84epJF55/Gq9RfB4w58vNhoy5VG8A33XmIMG0hIcoOPVZXp+p3oKJfslIKh0bEwlJLoE5+el/hklIjVFdUTzuqIOvGD3k9JOODCcyGZC2hqQVHlhNalnXZPdddti3f+99+vfae4+d996j1z79e++dICF99unfZ9/+zCgwB/ChMTPj0cxVW1211269eBU+eL89Dtx3jwNj3n3wPrsP2qff4L13Awbt3W9QIP0GDew3CHzgrvvt1bcYr0UEF/2SS8afUk5S5CmxlEp77d5r4li+Yjq6ZV218nigwVd5uJP5kLNPOu2EI7fgNyik8B1fuGRrAGgrX+ZmoIA4FlxmlrVr03zSuIvGDT+3W8fWsryqonDsUYfedtOckReeUVvB9ucSBgArbhVj4xp4OW+hFFElkHRxIDyiCB8gB7mHTgAAEABJREFUkoJKfjDJQAAx3C0wrthdcBOTpxhhwpabhDsaE4hZcPERTCVpYkAKFaEjZwom5YMlV4nFC3o4xkNIuRCZY4KUCDDAJeQiGZjCoykeOC5Z8ptWcClNMGF7wkkmmF42lJNdhPc8ScVwuhGEK2YIGIZOIplAw6FiJIQp5FlSx8oTgms0DDxnJT2lI+1oS7weG7sP4o3aBh5X2QwroakkjCeewQnCUZOCgOOsgRsTfniuGhzH0BG5Ylh5cgRy0gzEpUbMAlEMdtvEJLqJIiqBmWSg5mWJXJG+0RSQECKlLBMcQzeTxOoKL2AOAc6MnRnvfAwETsqVLEH/C5ks/jLHGwHZbQ5HcDaqYAxqEgpKAw4kNG4BGX8IsIscwFCIEspUEPAoY2NoYogHotDZ6DOUXI0U/igxV+whSmJYeYAl8JjNUZQKiCTjD27wZCQV4LI4AmJ46PIOlb4BjZ5JCYhvv9zynKMi8FDGQ7L0/5ZEbw0Rl7lyEs3oJgx3cC4zw8pNihvEzcRbVLVt3qRdi4C2LWqaVldkIgohhVqTqmK3Tq27dWpVVeTr1dzgkURK2wQhWOkEeMF4hSsVs1Kl5xXKM76kJyo6LoWiKovFJpUV1cWsKmO3eQ6WRKny8GNJQ14sqFPbFlt077B5tw4d27QoGM11ZKY0cu7FIKU8DqSzOlJRh1TwUvPaqk27tNthy659dthy117b7d5n+z36bNev17a7bN9j+x5deUTW1RQzK8k9zIWdgTheWfGQl2qrCt06ttluiy67bLfFbjtvs8cuOwzou+3uvbfftedWPbfdZKtNO3Vo3aKqwAkUxvhx1rgMkosZSmIysRCHRWxGShG8UYJMaBiTI2J3YsahoaOygdNmpUHDJHTCCt/oAEoXSnDE8MTIFEvu4Y6wwbRwh6nDdHcxrPGCgGnOhhSqVagxqzBZZgVV1pVqWpdq2jRUt6mvbt1Q3XpDVRtgfWXbDdUw2zpSfBrqlVZZm1XWZZVNDKiqy6qagnuhkkxyKzRkNaWKZl7VNK9olherc8tyqVRRm1c2C6hoUSrWlVCVWaEiPFTWqaq5qmqtEqiz6lr44iBnhVJlXX1li/XFFusLLdZaizVZizVqvsqarlLz1VmzNVnzhopaNw6HVIisvLLGrWhUGXla6gMEeQvcGEE5ZwA0kxlRmAqFYkVloaIiK1YUsqJlRRe2JmFUqs68OW9M8pKVSipxl3FfyEpupRIHo2v71j236t53xx69tt10q+4dWvC1RcMGKzVYKbfcCcxThdtYsoqsUF1VWV1RqChYZqYA/LNmbjEyKcvz1s2bbN61/ZabduT0VlcWwhwvkkyWcV5YXRYlepwDg23ymN2bNans3rnNDj269tl+i1133obboV/vbfvtvHXv7TbndtikU+sWdZVF1StvwKWZicFUMGP2knlDTWWhc9vm22zaqdd2m2I4YJft9tp1+/59ttu155a9tttkm807d27XsrIgIuKBJYGJzCjF4JFiHkwyEjdzJnMFjUwMymGGJc5l2SpHZLI8RI5ZhhRanuGOO9UFIqHmzmzwvSS5oeRcZlZ2CcFpd3NkLhZWk9Erk4CY4OeNK9JwbEmSeVqdwhIdE6WYywnFFf7wVPZDrspgEglvXk5QMJIYH2Qq7CiSNDBzHJsyQ85lKogqTP9npASCZ+G6UeQyBsERmOIPJ+VzpagUNfOIhFZIzeAELaKy5ixkmbhMUGJBB6uUkxJtzDmX8EXSGJY7iSk4XAs9JtCUjGGcmwhnzlMdSoamO4vxakLv8jDhXqFZbHSSikF3csxQZMM9BUtcK3z++VfffPt9Yc3aXdu23LMd0GK/jm1+s3nX32zR7eDNuu7XrfNeXToO7Nyhf8d2/dq36dO6xU7Na3duXrNzsyY71VXvUFu1XXVFdzVsluVbVRc3raksrV33wSefbijl5bZLZGBK97ski60XGQM5pwoUMAstsUAIwhAbiNzMgudMrjxYYnIulQd9AHG2x7WRmycb+iP8iMaxlBxnHhqmPFPepKqwWdd2vPzxVZXI1dArd8WDymS4lCW2yeRKwyQ20xUr6iwOR2aBeRa4iIY+uNJRMZkCZGbins9qayqb11XXNqmCJjn2Q25IJWYlpjEyrmDJmDMRVqIyVFOGBocLGUgGhkoWSbMWpQwBnrM8Hi/uDcpLKjUorzcQHkQx8wIdAMdy3kjIckUm+DPMJRl/weEsKY3cqIyrulBoXVfXvIaHNNuImZRzCJNOmjJlGW95PEtphxu6lSQKxD3ZSKRIqqkms0yAvGjFNi2btWpRVwxrryj4Jp3bbNeja6umTUy5zDDDC4mZWQ4VN6bYB3mmEGQRIiHhD/+GEnRW/oYE1cxwQ+xcwoELmvTNBd/NyK6Ap4gWGcJHmhjYBjdLmkEEkuc4EbYAsZkDhNgti9iWwXCGSTjk0q/DwYKdFhfq4SJslcoBCyZi57J0pJScIMmFqVGuswpbQDnlEEvl0Sg1mQLYJpMViOFigEsZCLEs5E715szwLErghHgIiBakgRsy56ILzFDcW0GXs4JOT+nk1hx9d4kjFAJHhwiYwREyMwFERz3lIbY0/OWosaawhiaexAomeB5bGasnHq/XYkQgFvgxUwbSxMvRwoErz0MigqXVJLOYyMYUf44JPdL/DEgvk3TVGFBODBalJCUDuJhh0pbwgjK+IlkpRwOJGKglF1hCcdJEYhkfNWAYjUueuZEFP9ywuSrleKKD5fQphldiIy0snZct1MBkeejy6DeZSZhESNJQrOiThkycyBQDOZTIwDENiujRVlfwcYApgDXuLAZKhueQc6xQj1mOgRiGZ1GFSMbEX4AxCiHADaGIDiKZqTzy8sLskR7OCMn7DBjCEYSiolBzOkCN0SvFiIoy5Z6cxdmBGeGFb0CYS0xk7WKYrKzlZI6SwWNxYkYM7qw4MZCZg5eM4lzGiLiBoG+Jw+lTXGyT4V34Q9mQy7K00D1WM8ykiIprscnuoZQuDA3K0nAzGWx3i9UkHJEKCGieW56zNabcRHNID05D+Cx3M0/qHu5gOFrhBUtP/rJMmKRWONngV/JS5jz08yzPs5Bgiz5AC83NsDB6G4uUi4ELtsOStQRajgGKMnoKFzmWOf7kFjP75VnYsk8mIbVkhS+hlueOPiy8mXKT8OGhCxszdOHBzSU4ltTc6DeKnptZOBcnJE96kljDU/bhp18ddvTpm2zTd4tten/4ySer6/Px1z+2z9nX7Xvu/H3PvWHf827c7/wbBw254YALbjzggpsOGHrzAUNuOuDsOcs3aOGiRZeMGttnt8G99jioN9D/0D79D9ml/8H99jxk4sQZhPz7P7+dcONzw656bujsFy6c+6e5d7/y4+IV9dIlsx45f86zQ+a+OOyqFy6Y+sD3v6xsqK+fOnXuTr333qHPPjv1Gdizz7477rLvTn327dlr78MPP/7773/89udlx10yb9eTZ/U5cXqvE6btfMK0nY6futPx03c8YcZOJ0zvedz0nY6d0uvwEXh/570PDzj8hC13GkBKjz/7Kl9mGy2gXLpByeWylcb/nkBaR0dlqNBW9t6QZkE7SE5DcYMQwDY10ZIUC7MyWj4n7GQhl5WSDk8k7NgNjkEAW81Tj80UJlz48kjPEkK8REUmMBQKpJ2bwYk8CISHAHdZJqEB34zVKCGANY81ZLH/pE5IDjYfczmoxmnI+fLbwXGStDhHnuMVnzwsmd2JSOIRwUsFzwteivPveeYNlpcy1D0nEjXFTAIyMzplyiWRMAFxhIOQk0+mHIsoD9epKLSIKeRmomtOJVCePIQPrCwqEFIyQmb0yvEJJ4MMVctUHuG23GgnKxdyESdWCKUBncuSVlmm6II5+RIMPphhLpIllglPqIN6ZBVSxAk2hmX18I8O6uY5Z0XhD63oonjdUW6mxuZY5M8LkOgGNiQg7B2TnGhiYp/kcpMJqYGAsYX4kECD4yBccmilQUhCkw2c4HLlynGRyQjAhDIyUZpAaXgsqJknB6GEVhDOqtA1kvfYAiunL1PEwTanNlN4EJhAAezYDvIs50x5kUAuOMop02JQGnYmw9h4VkuZXMKvkaph6mYLF/3ipXzgpl3mHLb7nEE7XzW411WDes/dvxdw9eDe1x60y/WH7DL/0H43HLbbTb/d4+Yj91pwzH53HDf4vhMPeOjkgx4+5eBHTzvk0VMPe+C0w+489bCJRwxq4lq3dv3a9bxUFXAuLiIqLsVICEySyFCAZVxlAHMKSYSBWPQmDODm7CWsKMRQCHEqCJFklExpRHHUYeXoRa/gBCgNRMKjR/mSaEGGmhpH8ooMdhxOWijFicUeQ6QmGNgSwkwgnDI0wcU+oyOLSQzEytGIVYntJkaSM5kMCs/MbLAFiR8kQCJE9ibBZFZwRYHkVigoYxPdzJT+zGMRzTD0AZbcMoSKGtxNRgwpR0e4SobCB7p5nBBTjNyQBcLlLuOvjMHGBBZgDg+3bhz0hKOHNLhlAyK4JbI8ceuBoGr0AQ8QSR97HCt02SyJZoZpUkQnnFkw4ZuZkKVTrUwkqqQWu8OpyIU8JWZJZkiDdG6mFD0Pa0KjL+MvSPwYjqJNpOAl2i0zQ0SaZviIcOBwnC6xhDB0uaIDeEUNvmfGrStMXBhJwUaakLB11MUgWPggPdKHjpqMIRkHSJBcQC6zAA4XDmU4deVGy8GtEVFwUir4wzN26FMlCGDiQEjIPOxEQwgKbhbcXBEgmFE4hGCDMmMiTBwTrkz4dpVHxHbDNs/pLYqm+BMzaorheRARN3cjnAcTpRRWSlJ4SQ0iD7FjwpWHNBXAlIn48I2V7ijtHQ5hOW5VcBFfkpFrSB1NcewFwo4IuZkKMplxuczVaMJK+gZloWyxPeEFvqOUYwEqGX8KY0vVedLL6bIw5cIwkFDDjOyJQdEptIOYoeGypAoXMoMAlCOBjdCcVTKjr7zwQCE3GuygpCmLvzhgSEPPE9NgB1PlDPKUITwJPx5M/dezWeBmwY4qyC2hnudRTp7HXhFGuRSLYrgys3Ka5J44npWlFgtTzjaGzKEhQ5qyRjmj9SxOHI9PJIoTHq2DA1+eB8HrN7SX8yFHtgNhxiUF00UGsiCCZ8gjo2AKtnHG3TK50IAWNaMCHU8XiPDkrA5CNZlDoEc7aENuUbZjGuzwSTmEgJ0akSMiGpr4DRNchzgSdw/9SEzYi56zgoV+OXEI8sDYI8mwSRqYpDUmhJBA0vVAjDiywETDSDnhZrSQEhQCcOFZygoWPDyRlRojkEBiKBmiZ1SBvrPkSALAzTJeRYIw0nXqRY42IhccJTIQsVONhuYy8otFMokMmZyrUV2s5QQCcXTwF8dVoGyJg8MN03DCaukMw5N4K8YJNyUniHMwBclqUSk4isyowZMsdsqlQJIfMSIiH71UXLFizS+Ll6xbX79+7bomVVW1NTXLVm/46pdV/160+t+LVriRCkUAABAASURBVH6+aOW/F636bBEkyMrPFq74bNGKrxYua9KkpraqctnSZV//59v/fPPd1998/5//fPtVgs+/+Gr58mW1NdXrcn/t4y+eePsfT/7tkyf++o93P/8uKxQw/MsnXzz390//9PdPn3rn02ff/riiurppXe3atWt//PGnhT8uZP6R+YeffvgxgKumuqK2Sc2KDb50va3MK9eoap3VbCjWbqio5bes+mJtfWVCrLqurkltddW6deuXLlvx7bc//O2d98WbJ+p2Oa2ibNEHOkZ3gkASC0eKExK8TFYwcaewCxgwe5zZzA0dsWeYiyOECzxFD+MJlO6AkITIUJNkRkx5ljmoObtlZszCUSAS/LgshbMYaClUwg2IgrayWmYkhSnKmQle5BJulSY4kUyExBgfYYp9MFGgDghhTyEhiuwk5SELd2KCDj3h0SBRSbMVwm6jAngWbsIPfZCEOwuOeF2KcFmZlTsJ4yDkCmtjOE7FMFfmxAEVC7VIcDyZCiWqRacMOJaCYSyo5A6CW5LFEEi0GPATxLMOV+jGHEu5McIVWQkDd3DRKye+J8SIixMqY6bJ4dnFvUMgLMJzVByUnD+MY5aQQKOiSNhAXAxPJK5NnCGDBBFlygyx4ZkFCGkskrG9wl4CVVJTetiSLumI4VwJAjFGo5poafJIfqacCOSknPBIMHAzGasEoihEMcqsoEMBjhGPHA0ND3PJUkcSHTEdhhuTYlhMKmvIQJhghRKh42kTOwcpnEpx4MLUHCUQHEmOjZslZYUP08+/LFGet6gqVq9fU71hdfWGVVUbVlWvW1W9fmXVupXV61ZUr2VeWbNuRe26FU3XrWy2fkWzDSuablhZt2Fl0w2r6gJW1q1fUbt2RW39Wpc2bCitXrvOs6KsYLzSmEUC6SJ0rFTMQqM3JgQlCkOzzLTQsDKHNEkUP7Fh4SqcoEaXECWmo2BEVjCYoJlDV+EpiWKyEHDTCCsEknKoLJoTkhDjGHb44uK+QhMxLIAojh65EZsdM5cJcDG8EQmOuzBClZX9lpw/MULIlTDLFCZmuAULG5aQwgAUw8RrYlYQmlyoMsuMR52ZySwzoSDUg8KHiZGJ1kVUcJaURe4qkQaaLo5qjo0QBI2NkW/StAy/YCJ76mv0E0TyZWax0gIWuqBwQ4l4UrrK08YZZVRJK1Q9xUCtjLgYKQRruEANzDIRw7lih9xJEC8y/sI+j7MNM3DKzAQSTljVyEYTU6MIx4vickFxoSnHQtECaOcCMoLAdScNSMeWJTRjyYQYFiAPbzBjScbY5NASVDDBYTFjFDMX1gjxTSvCh4UIjhS3YSC5mdKgIpFI8iaKUCYpyXifiJILpsNwiRIyiVWC42aGEJI15mCaBIjyYhHDy0j0IZkRjPSCJGsgMdl0mGgrBxU7QvJoYhyIh0OkYcUCi2zKtmJ30IIrM2YEMRu54lkwQ8/TaqnZiXaUncmRiCsahffwQNg8rSBEwgsdYJaU2I5ZoGV1D1SkLdyQfC6Mw8zjUYswbhYxoq94JAVLDrycjYwRtq7kHc3/gWCZJYkF22OCkTjhDS6OElcwkSOFqRgb10a8TMaMmqNNBiEi8bTASYl4UJbmwH698LwRN9to2+hOyViMMCzbeuJBh44SISsPqUWLZtVVlZJatGwevkzGoZE3a9aUtbZJdUWBN+eOAulVVhQLBQOvrg4TY6Sq6+pqC8WstkmTQqHQ2A02Ms+bwZe1qKutqqigpNgOjHEQ/hxNkoLBUUM9KUDBVlwhc5jgpkhN/zMIm04DEkQJmEIbEwtpUjZhmXEC3IzzQAnQAaEpZfiOgxAIGYSp0DQ03CQWYSuzAKU5ojiKUCEvi0yNI2tcWRzfuRwsVMMs0IhrwqqRsFhRwiVoIMHADAZqZUYOL6RQYAjJFRo8cX5FGxGYdMBcBDW3zMwcXaTGhbmUEBYHCZ4FkoGZDLYUi8yMIhSpKA1Lc+Ir4VmyU+iFJuJ44Qw0iaEDTBaLu6d1o8MgqCQlJDUWqUbS02GJvDGFSHxIAIalksAjZ0VMk1kSeL7DtltcPubi2VPGzZo8dvak0bOnjJ4JTB49c/KoWZNGz5w0CpiV8FmTR8+efNmsyaNnTblsDjB1zJwpY2ZPuSzBmNmTg5w1ZezsgHFzpo6bPXXczKljZ04dN2MayLhZ08bNnjZu1tRxMyGnjS/PM6ZPmDVtwmxg6gT0Z08Lq+RkXPKTvJHYlLGzpowJmDR61uTLZgKBRHqzSDXhsyaPmjPpsjmTR8+ZNJrMgWOOPFAlfkjzxk7KRNkBwYBQ6r3TntQUJInDPkniPGRK58GkoFiMC9wQKA2L91sJi33Ck7ETbF2ZVZ5pvCm9hCEweFyZE5o3VdzMkhHKLYfjYNl/03W8xQ67i890wg5lmLBDU2nEoRBkWQoLd6aYYkYVn5BmaRUogTggBhqYh21cJv6AWOIygzBJrGIN4HKRuwmmSTLRPcUwfChiBCHE8cbaISyCeRkLHVg0ItyASajhomyIkpOTq/FZQFOdehUuCKuN5mHohJCDGZOFSroS4SaFOGYTf2X3sNwhlRkbJ6yTyMpqMXMlBSWhmQmIK+ljIFkCTzM4iBihlsTJEEYQHlM5PdQIHXQ4CDkXTOZkGhK8QTYy8ZMwS+91aAqiUIql0YWzphCsZqYAxdyobZmJkdjRkYRDxcq5jcRAhQVMIDBxUA0zM5MpBjMgiyGBWqiIEThLysrJF5x9o0wEsWvQABlCg6ABksS/Sjci5OKkGKTJssVLluR5XqysWl+oXl+sWV9Rs66yakN1zbqqmvVV1esqqteDVNSsr2xSD1TV1AOVNRsq4QBNNlSAV69HrVhVqqziEVBfKq1dt1YmGTdaxnMeAJc19krKkJXB4CoGGbFAmpWTJ810kiBDJ5ZGe1SBxMAkgXGKE8Lk/1WDkuEIj8GkPeWmwQdnbnRisiAslED+H8qi7zTNERqxU/6BIDAXKScOkjKgJpNSaFYZf0iEojGUaMWIY5MpKTJLOCSW5WaiS4bATAwz47v8JGXjoopQIyWTqQwEwJtBhkiMuPU9CnVs6AGzK3fudPHuAQReqKUl7DCMh5+Sk5AYQ0liaXGKjSaRSIplydTRAjAwEyCmMmKgMplZIOWKxDBYLCIjOYjhh8uoF0pI3YMWfPIth4TAA/wsmTDRew8ZvHCDN0ep0UDBxR4ww2OSMP0fCP2kaDl8t0yiNq6yhYPhtTGttLgrBvK0wDOQxgiGPlTjzGJELy+wUWIu24P8ClbONAKXeY0qUYgaccXGKVFlDv0vk5g4Wfx/bNzbz3/dehb0656/bsQUIREwERPjAUFJRBJFMYYEQ/Skm1V27erq2q/VQkFsC4QQaTG4CWkhBso/QqutHqgnRqj/gjGx5UigB0Zr7WY98/Zzjfl9fu9b4njG5r6v+7o3Y4w55/P83kWxnP5YiepGmBPEXaskzupJ8sx0jNOJh6BW/15Kuka9e5gTP/Nq54iSNKfgRcOcNquER1KHXjENMpUmM1ZD2PofVQHLsC/l0J2yjoj+9D1LEx4hk/IbpPp0Ss7yXkG4HHkyM9G8EGb9HF4yPZC1ZInVq4yWChuloVBIaAVKHOrsdGF7odU68JgfsEJpB2+kI9g8QxBfrP5dgXaMsSV9y47nHc1JPFq6gWppYSjJkF6VkHRxYkGVZpl1LCkqMM3Lb2auK574ye/7vb/nP/6hr/xnP/ajf+gP/oH6Xkyz99u//+/9wf/ix//Sj/75r/+u3/nb53Gf/I7f/m1/5S/80F/9y3/uc9/zmbz9erw5Qubt3/oD/xryX/+xv/Av/PO/7ZA7zds3fviHvvIffe1zf+nP/+Bv+Zb+fp2MIhzbKA7FvAUSSiajtYa0lXNjPABjKO/0El6j0JCn7pmqdXlfs34/zA4z0jkan1C8qWp0PWTCbJzcsOrkqX1NDn9Fap8pCpu4q3g3Gam1bf/WrDxtCYqRsLWCHaIcVEKoBzgTYModwmW0y4wTtZyqCJnRnxBTnRYNHGwScoJuKG/8xd3ycHMaocYs+855Ag70qZSHZ4KvJWnwpIE3QGNpMx4VX86dTGIsKWeroucAiSVaGRFnG4Ve2mElyumzEdagbd4bpeztNl7lHajgw+GyD1SvnaHMvv22b/vW//CP/KEvfvY7v/C93/Glz36X/uXv+8xXPveZr37uj331+//Y1/TPf/fXvv/0z33mK0zf95kvffY7v/y93/XF7/3OLxO+7zP4X/q+7/oy6+e++yuf++4vf+67v/o5wh/78uf+2Jc//8e/cvpXP/8nvvL5P/Hl7/8TXz0q/Evf/8e/9Lnv/uL3ffcXPvvdX/zsd33h+77rC5/9zBe+9zOf/97vFPmL3/sdX/zsd3yR/D3f+YXv+fYv/Klv/+Kf/PbP/8lv//7v+Q79i9/z7V/6nu+Af7HW0j7/Pcfre77jS9/7nV/6bHfxpe/7zO//V8//ZxKTmUnGT3tOc07WnsJjOw/sOaxieLMTun/5JHsdeVJuLNjDOn1aukZjO/puiKn7VjiDPeDKK14EODohbZP+FppMjQU6kOiVcgwfFSRRxshpm7lr7CBv8omNuGPKaUtmFq4PyWwLCqCr5XDep534FWee4Odp5CMcMi/6HuvO2ERMTbZIxJ0MSa/tJRPnCus77G+s4XAlV4b39H+gAVAyM2i/6SQmA3qmK/sQBO2pjEDHSsmGWvMQRs5krtGirUEci06KSHPU15w8wlm3Bzx+DyQOZVKb2RqNJHGiisengIBFohS4fDo5i2bdsdbrCFHqxvdxpvghDdekcwfpxUwWdZ2UUftjTg6y0SQsOKfRWTqn62SOWbSTJilKFFc906WEcxnKAuQ0t5D6nvQpBZ1fOUhVLKm/qaKHuqUeTTrE1C8xH9pkZmgGaedDrg/Z+b9++Ze/kf3v/7df/Iv/zf/0o//dz//Iz/0v+g//3M//yM/+vPmHH/W/hVf9kY/Cz/39H/nZf/DDP/v3dcKP/uw/+As/9z//xP/w87+S/MY33n7lV/6f3P5h7yv89B7Uyu7tNmejCD2XneWUqkTwPcMhTO1oFpaZPUI0HvAKU14PyqdhZkAfe0/iYYVn+zEJ86I14mAc0zKOYJsnytAbNxWkt06Y5jJtjVM0B4uCaFdSiWGCRRnovMubydOe0o7a5IZHYlKfKaPTTOdqYWQ7OXICmmGPHazOT8j9A6J2RMuc1idoZRkuqlgGfUO1OoPOEdLAueB6dbZ2eBxX+ucKQkLTd5MYyC3jqBB9sD+qiwoLWivJPUJPjm6e6cElmclEQNOqNvRdOoEKbRcYp1m7GJxPiSg0YkrLM89BBYl2TQVRFUtF+zhjV91jPCkDcrCWZ6bmNLyhTJXSz8CxgpuBpQqNVAD3lRIvZwdriWPI057Kak1rWB6Pwe5QyZub4Dy25QFQ0NYI6BysrNCnH9axHnPyOmVWMutU6jjqU4p3c0c1t8cVAAAQAElEQVTLynsqTFhaPObIs9tf0RR4GgUfg6hPmgSL3D6dYi58niqRqDke5M05jLQdvHkvYE7YwnIEvbmtJRn7jE3bnsX5oC5q+O9gGNwIorFFm/SHkEgDXN9MGEQ5hCFlTUvJ3QnTwlBGBK3bCXw4FzILe79BmyXlWCowxkovjvEUmJcGaEAMQd3wFM9LEJW7Cs1l+ZrynplGHJngtfJxjAs/pS4/VqQKg/T01rBrSyUmq5ME3dF+y7d8+Mr3fddf+rNf/m2/5Zv5cdnbXb/97t/12370z3zxP/gj//Y/88397xv9D3+733Ldf/I7/uhf+ZGv/yv/0u+48oavgMn9u3/nP/fDP/D5P/Udf/TbvtXLduKG5Rv/5u//PX/jr//FP/zv/v5rkZPxuK7JdlqHarHSUk5Vd8Uaop0LauqSGcI7Y1t62u5uJGm4jd8dDkant9vELlVHkOimbnP3ST4MidaxbAS/576rI/avy8Mjv8F0wVxNhXQD6UxQiN7nAJBMH+Kba8Wtw4HTeXbO14+Cl0h2VVjZixnymttblMAbxjmzYK3Bwr5R7VlLEGEz94ZCTp2zO9ZbLasxybcIFn0jau7O+x5n72mF1PBimgAyBZ6xM/th7hOs8DlQQmOFQ3o3aZaCedo2TVj5mfPcBULEMQJJORuhhRLkSluZr3Uf/mveojZ4lmQbGQNiq+vvmTd7n33LTSj5qLURgo55N1uKbSC3A60wa3Z0nT15ozBBdMLbnTcB75DLD8clJCP7gaehdoDK6Hz3/yLovj8ssL4jyL7tehcU5iZuH8dhXeqeQM5DuM12rkmerepUqLSMi5i98WcDYB0gFi+KO4iE/fYWwFGSqoGsd9443fbW7d8m6q5iRHvUN7nfIgP0FhkhT/TcEt99DG/IAvct91ODPMktwmu+4fQuM1k/IxBWvUiZNJqsQhEH49XriVEf8VRRF6Au590nJXUCi3IipKz6ON8bGES5BLwP1dxQhSe3qgM51r0bgAiZFdLWuIiFfEp2HLEF8lSsZVxW+r5X4Tv+teLLNxxnnbzbSmhRa30282GqJ+CVYglGnpTHRr1ZI8gZdczdA0xhgccKXU6Stj5nxC11edbiHXayd7PfjOVbdIeAO1wjdU6kQAQGEhwAPQ0mEyB7M1aAq3Ms8Qimz27lQJqg+ybXiwuLguk9lkYjNpv4qjoukJtwjKEIyppWfuKlbaVMjSGgrtiL1hFtPaetdtelDoJKeyg7GWbRzr6s9lsz34jBVjsaB0pNpFrr+DiF+MTMlrlq0C9wlvtk7ADX1+JhTOE02M5MMHfiycpv/PqvfWP3f/0//++f/YX/46d/8Zd++h+++s/8w1/6r3/xl37mF//J3/uF9p/+xX+ik3/6F/7JzxT5JerP/OI//ul/yPqP/94v/OOf+d//0f/4i//oNyZvb9/4lV/+5XT7b88Zn0Ob3FcCllZPc2/riao8sdP/hyeq1MOmfAU+Pdne6T3bCFE+PLuEjB/Czh1SYnLKQz1bl3onegTBHcYLVY8vlecdguyWDlSqojCDmToiYAJlpKthQCQBoGxzgpOtXLaejKeAQk2tiLhdNgxd5pwwFWJrxwm7gXNibWpT1r23lBVUWoqBsgsS29IKKq39Ro7TeW+FnDNR51tQ80pACTOCRSfwlrJyF+5Nd6u8vNj48vdrwpd648cV7624oPev8G9UwFENzwa0j+q7a4epjwKluXnUZhGfofz7ZI62eT4uxNosQpK4iDHbiwdKbs7MxI/D+OBr9yDnbC8uYTxD+ayrKoxpJD7JpCSqj+OqouqlEIaaZjsD9VoXMOmTLFL7SJvcwtJwpduSTFx0AUQXjhCBESwMOgOXCs4nap6zvZKXbRd5aJO+SAMKLW2HWfPQbLQxt+CRK3hkgs0+jbxkAbfEuVETMO26ZzCicbuNPSS6vmXSibFNi2uKMttdpqJY7Ri2Ulgmae5VdEm2tmvjd4ROwwUpzjtLgp46iG/paQIX64QEToaGtWsC1KuvVjw8RRY20+mM19YkZHQn25gstFFGpfRBmEDEvsXZPSaVQpP6JucgBe+DA0IdpvaeUei99Vv4JTiK7bqNJY91OatRgirpJwy0zk9PdQ9aI+ceLYp4dgojNC/COHWWMTx2DSlVUOKQ1+BHm6foLrcJAfhgFbhP+p8vb4ecjK6uohO5J9/8Tdc3nf8/ji9qrvgcp/9HV9/8Yb4p19itLrLtznzTNd/y4YLyTa6cMck3XflgGfBM0euR+v/s8JqZK1e/EyNUJp1b2/Z7cm7UzqTYnVp7iNE8rHZ9sN4tQpjGoTF+iCjU20GsExvCGzm5GeQ0BxjHF+GjsaQRiWMkM+eg5u5zwXM2c8PCae60lTglTjVDPXqEXL/fMeu0InHM+BGjBS1uYsYEn2i0F+veChHm5lK5abOYwJeVZ+u7Be92H0bGH/Fno6Lj+6fxkBgVkueco3GWDiFhmHu6XEG9Teh3Wj8ZDTr0K/esQ6Xe4rI1f/aa3Bmf5olqa51X/XxPigDDhpC2e2aoDTib8R7cY3frYP3+qcsuHpCjjFU6bgSF4NOOFYtoLpETZVTDJ1LAASSvYCyZaI1Pqn3m6s91zVTMdeVDEUouE/TplMkMb9OJfmWuIK2ZeBmTDxl9cp0o0WbGrIqJnyGPZlnf7hZN5Dsi9SiaZ84ESUFsVc0Brw9zPeXNfLhSv2EQJpPMpJURLOv7UMmL5XlhQMBzRLH/2/1ZxlHltFUhwOw63nBPv2tTVmmAatvHYvNoLqKmzdbkNRlStTueB/E8NnqNrg6YKHJu/3Vmd8xooNY1x5ocRO19KHZugSXZ1lCWB66Iq0efnUy0kbIjs3MdmjL0LddOUc4DcNgHjHQ1sugyiCOiZzg1zROw8tkRE0ToiN4uc+MQ1wF0tLJyrZDOUhz6EmS4peB299XwHhU8fDHir6XhJc66VBU3eJlO6xJroyKCePo46GiMZ0eJY3oz0zaLarachGdLDNkbDZRVxY4nSYjKNWZvphOQgMDm8NXJSnB8O9re0lwL38g0vcI0SL1uu8zdjUUB1cQM8tgU+kJni1HyGrePVSG+kw/RsO4RAUqsQ6WZ+FnLTojmG4kU+8ru++0obAbl5K15l8oK81BNaHkVmbbB7CqZvGmtK8hGEaqyI85SzbFKtsuSzNZR3qm43Od2M0uKtuuscmeO26TCJnw7WJ3U7r5d+/blL3z2z3zt83/m61/40z/wxR/8gS/84Nf1z//g17/4A1/7/Ne/9v3tX/3c17/6ua/pX/nc1/Wvfv/Xv/Z51h/8GiavL/zpH/ziD/3pL/3ZH/rKD/+5r//on/v6X/zzP/Cv/77fK1m0TXesToJ6EomTzZ17tgU/nGpvq1ggszrnZknMS5j+l4rxWIUvkx7ncMd+e/p315o2fPcaVm40glmyddckFn+y3B4r9karZ8ERUypJ/NoHMg/mevrQ9noquZ1kDsReXNiUfTDKPZIcW272k+dUCpva3NwKMoybI0ghd+7xJip/C+61ohYW7oJ078snQTRJNQYprKd/opY8TvM2ImGU+IqjlkbOXql15944vTuj9z1ukunGR0GzuRAUG4IwgImohzXvGcMCaaYF+koLP3dm27sR8GJVha/T3MaRG1rEoqOpodXO3nQcoRMXTcVukD01JxuO2REfmSbv7XHb9GnhfctRmg1jFgamTwRkE2FVWGEz09Ongt9273kCm9Nwyf3YNgoZ5knKSTJatI3CRWnWysEC6xC95gAXbbVkImhzxRObCs4tkXQI79bGssfb9+6q0VDMWALukl5hnESW1BS18jvGaa6VSr0Lqc3CefHt5bbu8Oy6JVYbxirdRV3k6pvBs0UzHkklZw2XZR/u5GrrnZBblyoOCXisF2XbRqkBMTQO5m6PN3VwAvcM8S5NJcQlB8aOPBmPbgQRIJv0BKLd1VvlOlj4HDJBTObkSqMMB1Iu00RTvzmDL5h+hLtC8dc65Z4hxcRPkRHELc5MqZPRxCfQOzdMJocTxo2qkkkMkahTRZaaqtay9djjVRLrsaDuTHfg0rgdl2xyXdBJop4Qkzk92u7UWgmYPOa1NtDV1REwdd+TD3oyfqItYZLzl6MSCAzAI2evUMesT/ybKkeYi7I5bTrPTImT1xyXdhWD7Iz5WlPaLka94IGespJrWC9R99l8ytiZG5zw6ilVvjN+VMiIPlP1GcAbhGXvSBOT88nMVhbZOjMXZooklfK0vZOn78g7i4K0go2RUisoRqFXwh5tMIjPsjmniS9LI5RwrFlirWwVZ8GJsypu1ec8P6lF0L5AtQ1Z8pUc/1iDmZ1MGKLdBiWbMM1ULnkKEAqmjWVtc63UY926ZBqpxQ86U/vs5H6YQDLqEcr2xnIZkTd4OY/pcpvs+dVSEnMYAdnqmWPtLfOXCqw/pyndpD+7Hr6VqR+Dsa4YA/BFwyZVFmlyZ+aKqEmJBFrFcdbJzGRn5ghJalzOEzhB9VBR7jtmiM+9yrLpl+iOG1kWhbSf/HNmaM7l2f3m8lQksJOKMCOVQoHmscizwsloyaRnnRxaEyaw1/B7IXgzk/7E+lg298R+VrxJp86QODAsM/AYuqJZOvNSYt/hWUVg6MfXGlYdlUIYLbGjK0yZyYfw4plan8KzkzYakO8eZL3JMwdJRkPTZ6rsdGcCh5q2nc6Go7wFIWU7dTj7BuIbp1HkGfXxCmb6c4S9HxI6YQ/7yDNTH39t4D3bqX6OYFKjanoHBwUAi1SttUGuCmqbi3Eq1OrPuQCu5roWPFe6u2MbumcpOwTIWnT6a3MUPY3ASYzNJNbpFElwx9pe+Bz+iebl2GAVwXPgVB229vXAdVHAWpWFNiPacGs3NkBrMknUbiJeSWZsKtrElTy0aeQ8JzPJtLqeQLShpvGs8pn5XBzY9BY01tNdKWrLqrrBf9nQdOiuE1khstL0qVoaZiF2kRMWU5kBjw2USBaQMQDLBVxrC1fPgI+6g8aWTTLSzY6Xmj1nyyB4gF3Ac+QKu0PZjM/DvH3jj/7hf+dv/+R/+lN/86/9nZ/4sZ/Sf/LHf6r9r/7U3yT8tZ/6yb/2d37S/GM/9ZN/9e/+zR/7u3/rxw9O/bG/85M/xuVv/8SP/+2/8Vf/q7/xn/yt//Kv/MR//pf1P/PV7/22b/3mS95bntkkTduh4KlS4ySpbaMcvVWBwBTzZbuZiJFe02ioetYlXg4kzIiDOPSJgJ2mV1QBkJn40asENdomB+/cQJNXYzgPp7XFOSGUq6UVeZGSyXLpqcuVNKp4WzynTWWRJ3DIzCS8Lkve5ag3D1DIhq8c3eRzkJolmnj3yZgj08B7KNsUpqVn65KoRmbrKS+rwmhD4knq0Qlw+sva1MY+GXBCLGGEswW0ftzFYDhYnl2cy3y49RqT0fyy+/MjNJy4PrFZnz61qoM2RmNBTpzqZKj7rPuT0ZxqNXsUxFQMZZWm8mgWynbVnwAAEABJREFUey+Jos+wU9eYUCTcy8omHAF9qxhEAXdmKPrMOC2f80zSRyAeuMweNRew++FSQNTdaMtCGe1cHpoHZ9Emo5dyES7atBU4tcwQhfR7yAzqPPKPwMc2fGq9EiKGmS2hGgroTQ/RiAMfeSdp0YLZYE57Zep90qs14gzqbM5CTEen4T+NjJzU7MRzGlOGdE0+4i4mAzt9h2N7HAoFaEdmfT3RaqrjbOtT0HGcjNb9WSbRl+8+QhJeW/M9kwnXHrr9CkirzuxPL6cehDmHRpkpG3TnNNu2DsoOoY5nORMIHe7fjmYlCvoI7AWfgkDpCeVpm3AzEfREUR+/RIcbs2idIwlG+CemZStkZb5o7cmmbTCOODTjehYSRq+Anjp4UOcGC8Wz5VBqAXRxFKXNOkiWcrLT6JbbQTofOg5Cv4RbL4gOjDZbYUiuxhz6JjOTRjfliQOgMJmnFb/4UfOYTidc7O0ZOQNgZ5shD0EnK0B/dNchK3yvqP0BsU+uIUzh9HkDcVseuKTXk1ZCZs5yuMIkZ+IRG7HNtJ0geBnVdQWOQMTpCIO/S6PoqWsFQ3+sEZSkmFg4WhDJjTf7HqS+06kjWhmrEKKONjRSBGhvwjmC2ZcmdZx80vg2RXbGrX6Ck67l+HDXMo5ntin4MNelDKRAe8jJ2MhOPrY9kgeuK9yj3rm+QU7CNU9bvql1zAOTMEBSgdlEkmrGBPaMaFS6+TrZH8HMqQlIYT+DLNJ4IcSnzDEkXSY9sJZbyox8oNOFsRbGoZif4uaVkanAMfWliGOaNQvpd7NkWf/6WipfTvv8Kba8tme/XDkce+WVD5POJ2H1hKZt2ggI0yzJZR0I1mQqxPISktiIOKLPidpAhMEp3INHOmnI1hJqtJGppVMHuf2jKEjKMz2RK0QxaV2lNXNXcfO0EZ85kErRtp+jcPunmDV1HJjw9HqdIFX72BYQrWqDnPWZPG+9TUYh9HREouMCDkCp19HJj5t5zuW/kG7T0HNOJvDhPZB6Dod261Qn91oth+SMUxcTGCn9YKTtFaAiVk2WchksJ5hylXjwE910dFHqt4twrBwKzBzGHNLm0Y4haYaOzHR56qiU97ZRc6ckLwMtWrUOT9MJnWNnBA6ntM1OyOPzzjz22wWStv4Ffnw9FnjHVFyQlPrIQjCO4g4XWDt93uMk7h0twNjJAPKpVutR2ay9yyVO/OipksyQpRBEPfl0m0+UyVBGCVsh4ZWnzYo8PeDqw7KGoqikI0+cF33sb5Knu65pNNpZdirVmHvub+Q3fjXf+LW86b9unm+Yf31eyK9e969db79+vf3GvAF//frGr81be+5fa//G/ztvv4p8+q9OQ32jj21zeB+SSKaYXZJu0ZWzjqKFGeBoz6kojUds65HQKiSZzfgh6Zsj1noi0RPQiGcklVnTNo+1ossIUx7kEFgb4nit3OfztkyVNw78mszxOsELVZjBqcD4YDmHP+EyDHURJ2MzqVBgUsvDmILDOv1TgIFJzCIRPAN6KKEedo8STH3ZjgsZuOcZVsNgzeOSfWwZa7sVpBOAZufepHML+vSs9WIVJ/1tkYe/1Xu7DfQM/kHU67L20p7TdsBHmpBMn9iSF5I8QkOXkdA7eEdbcYsLnWmLIDOZ/iGtIPtv37Q9TxxpDH2cCPp7h7ZP7PfKQcN5AKfD6RUbbsgBWcdSKLkncRoUXmL0d5Zo5z5rYrPoaLPcugIt75/9xac+/tMq2Ps3fI4sKAHEmTWaOJwIKQa0b0EmbeKM1p2+SE/eabQpI8/zS686k1eKtBWqH7hiIUlei0hsTwc53o/yOoahBfvUUm+6nrYl6FDPtpkvZpG1xijYIAlFV9WoMdpDcwZLSUHlobCbtwo03chEM733QcgZJ/bkaQsa42jOYwljFLo7nbEghVrYxyPZnc0UzbMNNALHwZAhPXcqF47omxcdsuO5qHG3pZI8PmuJv0Fgxz8V5rbJY4msrMKfyCLO1grPKoS3BRVYYGsNPSJk7jmidOKIr6iMn9KeYg5XYUBPJGx4ZgRVA5wajWTWpwDa4qh1Fhb6DMNocNLGxNS5IFE/7P5RJPxJbLIllva9F0GJq1IW4fUR8OhqXr/Zl1XwgXVAaGVzHAi8G2lA3jVUPJGZKrvvwuJ4xgCEUdApZJri8AgRfHJnfF2ExtuZqe+9qqLcqLIJ8t4XRD6sumKL6bug7gpsN19LynFBQ35uJzs1zZ3arlPzRiuCIndYcrBjlb5RCqZtuqNjnqOiHu0k35wApTTg8cVagmUe684tCKWHp2B9hzlzC5YMgUeAuuRVClsXEusTcHFTJEpn2kUzBD5u7qvQ9uEElwlqxzu+rTSANeQVh28eYoKy8eQ5wqUsvCMUBbjkuWb8L0oiNAXlbJ9LkvG/0xzE/qLtTI7FYqX5hVJ5Y9aF7YwUzVm40snUfRPPQzN1o6fEJRFwbuxwTsso3M3QJw9q3lAcSbrmAOapgzUvNCHsRJNUgY+Qc0gNKII7Sp6ammqEQLysMep2Fypnop2Jb2Z4m2HyJ+Mnj7RWThadLHCw7a52j7szFrlwgxcwPPro9l8Z8ew6w/8ot1kE6MEO7pJL3rGjAreswyxO3RQ4VsPZDubklGFex6KEEZRv9xNI6ByyBNaALAX3HFFt6YmJt4VnS33YDU0CsGIqxvyouEtpr0tXmVMi2ruJLt2ntFAfkDB3H9smXPg+MeDvwgvJtlS4VUk7mbaeW0rpWTnk4TYTR0SwtBxhZ4Zeco+l8kxnoN5fXPCGaelqOZ58hyCWM04zSvCAN6/gTwR/rPXMaf7DN1v5LvZe22sULwbK7Oucea4SGnGHfc2Ys+QTJcfa16tq4dLIKGbmujgUlWeiE2ZIxPaO6cS2MxVdEmm7391o8xoWJWfHduywb/FS1G/3U6uxgnHdVRRVHaWQ1mh/thbqjTp7cjIUv7syMSaqTvLEnaA17Wwm/T0zUULvk852zdV+ppkqGT96OUT/nNUf4QNGzpBL+SI5lgrCMwhNuNOSEmI7kn7S7xGObw8LhdNub65gHAdGXu2eCts4FY5VQEwe/IGMVfnNDkWkpbxcVjDFAFOkhAaRECkzwL1kKQ/19DijTCpffXeSq+p0AjZLjVvfIcHMTwq5boqK1FCohCKzkt1cWJkm98yg1RlnyZv04ruzHFufg8flqDxP39w8kvp03nAmCH6EPLePi2FO42w2lzD0zls+SLLcx/FsevgOCiTWRTWQUZPeaePktHtLMay4TWopUcCGP8Usbi+qvkR01ncw5yxbQ020qeWust7V5uqfcJwKGVtxK/CsHwc9ZZqalVE/Ka34LarSVqhPlUOeqxB1ZqILbNYPPv4XG7Yej7gcJeousJyVaBW6x7m5JAouXeTZO8hn7BwZt6RdrMp3wlXWPVee02rlHsOG7lrJxAS/1osv66BXskQhFogKA5TAVcwOOQXk6YL0sWNL/6ibFjZ8cuCGkabuTBu7aI0V0lwDyKstr/L3gOZTc1OjZ8vcQ220aSEVVDVFx46sm97xhC8X4cSJWirltMMYUPuKE5EFPtCWV8WI0Oe4CKJOytsRlhTNZZjLku0WjvfkCLEXtjfGlPamPHr7KVqwHV7sV0KbrFKatfbNaJs2QhDSdSeT1jIZcqoJMRN/9QFmIcYSBBQ6NpRg6wWxD8UEqcaYumCW4FdGYhOmGVUlcz+Rc7fibmRzNsmq76JhcWK3710bOxgo6/GfNLgpxt6R3G/dBdZ3K9QltSqlK91SR5FmCcmsDX0gLlkJqePsLSdRtGgw9c5G2SaGx0EIgmC3/OXNznllNyeUpfZk7QmNntyjuBRKuFFGCfU2clg73jm02TJyQL6QBsrsXY830KLoaaMyHYbnVeKkE/MSWkG3c2+yh7fWaOs0W0hW8kTuvNrwq7g7XRqirpVroatv+Qos2jZyKtShNdRvx3N0jz8oGsQAOoMTxDQrITROfJ8IRIbSMoXMvmcBBGHiFthBNMJk3TyBOhadxPG2H0C/koCsDDPYc2UyNBNxR92GzrW9iPWh8kOayTQIeLeS4Dqo+033MIkewbKZmZu2tHVRO7PU9LycxHKiLgqG0wsXneIf/kdhTsczgbhstyKyAtS2c59zvH0M2bMemh207JLvlbHnBzuBVBb6NuJ4DC6Gg83wJA3a6VjJCIVvrcBLODdZoZFVi5PWgcVt1UC7ksvjyadF+Fgl96T/L/omOZVZt6m2gnI5sbBxPYJynBErbTGPtN37yteeZ9qjP/I8LuVuN3aCzVPaADanjXkeecceqhPOAl6jnrtA1Jzga97EgUVjS60754iyrMlt3mGOTVp2Gp4Cp56c9cyKf3hlcGZEWdFL3qqmUl3isZxA/RswS3x8r4spxq7U0Tilw+Xdch/aLGiriv3yvZKrfpBHcKnD/+lX4Ufku+mD8qg4H3tNzXEOoKWylLWP98aDaZ/SQ4GqqLCOBlPJAAIsESfc9uxtkY9hXJnyco6l9ky9SZObPCIQ6BUstxhC2Uyte/ymQTKBdI6AY/CYvQ8jvAwEuxiS/TO/0D2r2br2KmmfTVolPOXWae+ba6QH7Hbz1eu4mfNgdoUNQj0ClnQ2beMLfFboCzqG9Q5vn/vHRUKsY8keyP6cii0RcgzcmXSFmgtijIOvuSPNq9S0PQCpG8C/udHap8WoF2UUkX5kZ4EObj/c3miB7iJ3jwYzAjibXsviXRWSmZ6pAqKNkTk/hz0hL//Ug/PuhKrglviAL98W4EO1x8WJHSHduQPgxOee6Aj7rCTO06XjCLscdYaNH3n0ottH9mb62HNnDu+54G44zwkt02aVEVUbZkcwy4N73ViLK/BsiDpSk0Usm1FBYRdmWzdfBrgIPbSaL4QIF611wkSByr58Mx8WPbNIDq/BWU8a3MabjF6uGHFYuPgcrvVwFhz6XcHKZU9S+k1XiWh34R5GBj5nXhJ4LA6Ck+T2CFaSh5eNSaz6lSVa9rhamE69XB06iirveFqcMIBZV7VYwIwAq/hX0OTopsRLf76Hq9TuvabuUTrZNokNUOq69xHkL+6ZynuTpwSF9GHIpH2VWKKdMfKtozQ1PrWBX7mYop1zOGvqbETKFY1D0Nu3urrt6niLvGzOIrafs5MjpHDG558wgiTTZURRh+VOYqGbVa8HpeA2XrPav4xJxo9AGWUV2T53h5GnLcON1HDkiQf9REsrmf5qhyX80Lz/m7mFf7ztKLOVBSbsidQqknU1zqblpQ8H7iaCyFiPsk4mvBwhMg2rOipGBSPCmxQes/qcYBXizjbTByXDfjDSs8Y36667wUWQ3JPHvHxOts1V5OzFhzcS424CrUddljrrL67NjN+Ng6HL3px2AAtbJLpNtyx3gx0hcwtyYnnvhrB4xnnczw44g3KHI0MyaEe4H9NkFOHGDpgIlMTaPkkL8FqnDTENAM7xvgRW66QxkhYVTYFNfnkb1q5Ziz73F5oAABAASURBVDBk7rnvHN+7wht5/EG7JztrjnXU8yYElzH0mlxVMpg6P1Fu6vNgxGEXm0y0bdrn+AE90RRhaW/kxolsc/iJmLs3K7LOKyvKVji722MLF0kr222Jqeszdp0entjvLiNmR+Lcz7XUe2Xd2KSEJbNSUXLajcsq8k7zbX3UqQP0JxB/JQZ6vNIQWa8Bx9m9bKC2rXWFhL3Ij9tEGYwI87hkzs+p+eTce1gzo9CdJ8N5cKAnHSh5WQkbtzotTEB9YgKFs3GLN+uxvmu4BWE2n5sigvUgN9cM07MJ9G3evueKd9CZ3KR77YG6y3Ens2hLCN/tUEF6iILpB+YyUaQYxETUzQLw4TwuEbbma2ZuR7rAk7Brx0zn+jYUKv+xqECo3TpwFSdQy7KA9yRLqz2lRoiTfGZ35/bO4EPtoybRKXHEOyiVrzHvvixBv+dA+JNaGzkb7URJudssFVBrMkR4KWVgC+WManHfoqV58xbg7PR9zmnr2TpCjsmGb4HqsCoZmaKpImJJLNqOjVMBsqyPJIa+PdVHK4u/qhw4U+OxTs6+lzNE5qMOAmEyFWojPKeENacuAZXTjDgr9A7b0ffMWKB2I8FHTISJTShkynuolWroLZFX5JzG3J3mABxUldiRCNGkvF1roxexDWn4KHkm/RGtisC7w4Oi39PW/xJxMFOPUIjhtAaObPiTVrvRlAwmwqIQ2XgUgukklrIifoGA8qQVZTnQ6uPkBawZ2FjMuqDH/bjgqZoDt+5qy4N4KznNKbhBtlMDjuyeFrPugegcURFuQ5hYonm5I1EdBAQ04cPpE94g4sPrIDdiGcOpNXeZmHfnJuA/gXesfaIFb7orbZRncW/KQqnPnUaVgI67Rs7HTEVYcYYRmOciqnhzA+ZsCJIoGHKT24O2k8hmD/tAYmWz87yptclzPA/xKE3CKeW1FnuwZD/ef5K+nklQTvqINJfk3eBUqdPEs3hFrp3zjStDivEHzc49JUbjZz7du54rZlbBp4mFObbGgWUO35HUCjjqI09Ynz0qQnnHdxaOmNNOmEmx5Pa/vBVVVR0iarLETS7HNtbMjFE8O8fPK9Z4k+jRVPwA0xNQEVpdDd/Yyaxj4F1+Tbti8ssuaNQk2Q6SqS/4sFyL0cH7ZJ+c/19hw6U0g7jCIsmRU8URhmHQRDbntL1H/GwK3nV+CfvUMvsWhE1mM7d3DxdC6JHOnYeXyafbMQ8qrzzngyDCi2SHeo5XKWnbTgNj6onxaxX3gtprVoN4CcrJr7aaFhKCerhMqLJPTsG507715cyqJ/uA1hPN81ex1WwEWUEOL1siDTKpvfKY5m3S4/USKOaYVyxgo++NDE/fwbQ4NusgnoiEWXHwZ9n1tedERrC1UofngNED8YSqpYpTRmWpkO3vrKFtDm1KO2NElQgOM9+zCiDo56DTMMrV4z5Vcfx2i69o01YWzy5woZIPR7d/QLZl7Nl0NnI+QaSiZCMOxFqZlJ7HvHhD655OTtkcHLHMLsM846DEVSHBf4IuJszKeJMFUECFkXIr1Ep4rJQ7nLfv8zSygbX+x5KBBzNtJ0drE7F6fH1mj9JaSPLUsBFmj4FqI5UxJzUkUfEn1rvqxlcvCIQoZNMmTFpzMwfUNFbv+maQ9WT642XgFkE2bTPJ5aln600W6lj6CZYtIzGPOYnlATfZ+K4CiKEp48qc01ooKK2ElSXpLx67WxhIoLsMFZULPSpmjes0slcJsgRZpsQqZY5FijKl4HNCjJLXuOtcJBUSXjQdH8deUsm6THd8XzeCYgSQ09zRARNSnhRie1aFaBZKxFdG6jvOtAE6ANnMzlQrMbm78KstrOy1IqyRUDbavguRs0RrlrwMQgZrixEaMiILsIajH+/AinL6Yz5c+vYLVSfMT+qoH6Onp9vMJ+SVLikfxqUi3a5clcjMC15WpDiJvNAsWxjGCIfSyMQnSHX2BdgXLZpFYNEIVG5RkZBVDN+whQyD6nXWcGcy6wSJm4fTNYMJmiBNz2gyriiWzBGedOyNazkB+Ybrckmp8Ws5LXvMis5opmqZ7vpIa+ajrP490mf1U7S6lZA0b7WMWcRtCLBVidw2Hxsza1U1zZJFf13vvb7BqywmDLf+yB4yalTitegMPt1jy7DpHq8X60TcwKQaI5OZyWlDFOe8s5KfIMcA7HqCr3IamdMk711IZfUzsE1hq9RoZ4FBcF9vN8oxqWwJjSLZrphHN+GDGLl4VwNKPwMeCaCDO4R6CnKYU9zYuD7W3Tw0wk6ZFeLPqHODawZzSIPvZvYomBWewst4NBFPEBzAwyX0XC36zLA1mIpc+p5P9Qpc2D173wRd1i2TXEPtex1fKYpk3K2AT8/k08bxRou5qnULnDdNaQvk2eZtHk69KDbEzs5uzpqBrDH1Mx10tloYG4lcw411oPQG2BZQA44+A0pEXrOu/lccgO2Zb7DOwpXw/Hri55+IPZIWDBat8zVm+8DlG0aANOGQ7W+G6pRaD/4wx/KgJ4L3IJtxPpNkggnfvLdJ9LQBWadLCqo6Gsz89F4WuDvpNq57NCY+cVFNVv96N2WkShnXSGK/DhNHMcn4sXFhusldDCfbeWXwvPRyG2xFNrLDmz1AslmcEWUiTw1YmzYBztJrL/Uohy1EKQzehybygBxrnyOHakkhEU5XLXXuW5geOme9aEynhtYTYL8F6SFUEbOHJENpjzZqJcVbh3LZebU4qJHryKa9bGUN8im5NuEfpEoPXQB2NN/BI889AKQu2c5NniOoVRmVl0Uw1MhrqTLLj1zuWQjOgthOQdpYp+lh5W+DpigQewEn76aRN+wNy1rRCMym9aMwAg64AQogPuFYnaQDrdUYdmN3BNXLB5dY/qzNT6+IDfhKueGmV10K43vIgwrW9bnyVoO4voR4x1MGWh0Ze34MfNa7CiDFo5GgtW6FrHBHN51MOMXm4KRlqDxnI9dxqf/KPDO1dsia0tAZ9EyP1CG/U86zFVF0UdqRo/EdImL9AOkKqchtZy7RoPph1aCIPkj0q1nQdYTaFrppAZuQwa+QtUDOshWuzCog6QtpENodWA+5dbmoBZUmTlrJVRzWbiOZzJ2Z5HqQzvVRI3FyfOu8Pf5zzvD2RZvS+lt7UUQA9erujXd4s3eJBu6hZvzEFko8MuMkT1XKaEmNiab4oIkShvM5UwzjzNjjkDiL3B6qQ8MfkqVuin8w1I2iGq9MY1OiOGJkUiWT6iyfKnv55pPR08MdW4DmOPBrrz7okqzM1DEciuV0jzJgjVFM7+i4zUwazsxkM7IvrOByBFartBzIjkGiAvJsORNwYmnkqLfRpMCjvXenAZ+cslmzmB+7EPaPcGbBemLHWn/ULh2bpb1mYSho3Gs0RkngtDph0vawm3BKX7bUttHGIOjxYQl3QHsR6+OCpQsEkS/cP8Ucsp6pz55iTD3LtHFb3npd13uzTgP7FPpY62n7CE74OJVmszjj8V9v7dPLh6PJgZ99Em3jT+dJOVVrPsGm8UnHxVqagVPyO62GQ5wo8Egg0caCfpDJlC/SUVlSJO/tGJCPrvqsamQ5/WHWcey/FEw94Tb9Q+DQS0gyseWegwjpNvmswaCE7qlDfJp5VJowCqh7U6NBJwWR3uW8y2ji340JC1pyFMdrxX+9RIsJ2GVOrsFcIykY8K4jwz/7SGX2XYnarbF2ERntKAMjUG1w5p6znQOerVAd4CsIZDHxkeM0BCpVzPaCVV+jZXB/tI9CxNKL2raFpw0QPvYTtXAHVI2OgGN1BYD0Kn1VWRd4q4qIpdOprHjUB38q78zV8e2evK3MFsvBtof+OYjFDNafb8oyfqrv8U29VirjGBssSjnKx+nF6uJQ3uEp8Tfpk1N451XgQ3wHH+01uyanJOvLOukJRSVG5npKYFehjQArW8ronpTfXNyBNk3Y1sPRbzkurOvoXm6SlXcfGklYkUpT5wy1/IGlHmglLZCJyFLDPlppUUFSnW08SwvlsDMFk9hjPsr1DsaJXI79IrTXxJnRvIN1ujhdz0P27Pi6v/Xb9lt+a/LhGGyPz3t/trZCPMgczitdhEU/RubatqkrlCdXxQUy76YvPsKT/AmCV6GlLKF8UBwD/nIDdr83q1U9MPIxLUTQR72XJc94lk9q88w3jixb8lnL2fqcTxmt2xEfVvQABOtxsT5/0wT4imwvM2ooIj7xzC+Eh8dAJ0wO6EWYXKNFO2B3OpnjuL0+htMnRc9+uD0pQE0PVIFNHSGnKfusns6HIjCAa9TvAaagh6NFPsSX/HJdvEPq1HwY6J2LeAE4kpjMp1es16n+hUyBI79PrOJsxg/s/49Q2Eh956RZ6sYTw7vnHMqy9IiW4NaeTZHbp5MNsbVzQRbDPLszt05u9+fE3g2bNRehco+xQkDgBJU0wqC19HPgBXLOFjs5UhD0vJC82mRmXHdhMSav9ghSPDqVjOmkybLrw4FOSliTzhVsJv0kpa2R+29ZgHLfkUQwzxLreteep/098n0+3MuWtpadmCGwR6jBeEK+z2HOiXLmR6pIkq9z4ogmoea98XpF2DAljDYHUyF+bOr0RzC3J7Z0MuY1Q9579wTmdeV2mQQkBzPrkah17Bl7u52e4qIXb9YQmmIcBJmZNVFWKnDJqRNNNIaqnsMrjwnp9ENKWDGjQWFzaH1Kw/Q8ZuIcX4xPWdWkTiQuZMank08cFoAoxzfa9rz22cQ6xDqi9FHh9NpzQVl2H+G2wXCxW3USOOiC10VQpT4PMV3nJbt/WYnPdXjQRRjJxcyMw8g7s8i7DBQJ8sQn+CZzJsQi8sNkbtTWy9T+QlJakFyrjIKF9egvocQzxEOMmuasghFUe7S6pBuY3JU3E0NnNuv+lW0nBJbL37dNxpiM7c0l2AG55QjzWGKVNDuOKGIfAXgKzUzefTcZ3YjdlikFMK82V6bGTifdKJWCorf4lIJdFt9IQfTMTD2rTa3XTKaCmUhCfrlWSestlNEyxAOP+QDSVRSQkXVqgdCGWskoKirW0MKYRM37lBpRpqd9DHu0V6n4ujI3vaBeFR89C09Pcp6Ws1zSsB7ZlIl53cJUSq2Q9jNyjT7HFu1K5kQezPWV2Xxs76SyBUwmiVwtTDHVXNaxeviXsM9bU8vDNGf5JL4IZQDOszANkqHWbYaUttGilMrGoDVHxSVYW0lPRiFziDMJYVNLRss8P/57LRP5/NeRc8AJVVCMidZJtFmnkOdGdoVGyUwmhEbuLpZMz8w4xUyNs0U6qqU0CvCYs9ONT1x9GAkbU/iOl4oy8KcP8t3U1MGYs8aCnWkL5aBVztVBZkxQekhVH5HUsx4txiS5Mmk3ZkyPUmFeYmWFUHPavGrco8UhvqTqrXb2iTT1nJgd5WzXj3Ooa/+9oYlneDOTZGIxVYp2GaxJQ+TYwjy5Rgs5GlFkMStnrijDV2mwiHPxsGYSA/Ml0JQ6DV1kH71OOa0Jq/FBAAAQAElEQVSgsUZ1j0HdiQdoHJv/TRAlpW/Gf60TOEFLW30KTDnj34PykpetFGOIgXIpmvFTyJiEwcs4XatszrHkorTLetl1fXFiYLBWmMnTjsvz6Hs/wVzYzmvUAu6+76iznCdz+PQ1GlmSWqqizExvEJKUucMh9sh+D+G4sJGRJqcc+u4ca4LRvAl9h2uFvNqcdZjClFzf/Fv+xd/7z/7L/8Z++FaW6ZhaGEdb37iXalusYbUwRZ6ctQVnovkUOLsM5eS9JnP17cAl3pmSjAyp1POsjkaY+phy2PUFZqr1KJ5NUQV8WHna4ui7bDP9BMKnvlEa0MGRxlXq2KA5wLXlE/uAiX9tMn5ySiNNcuSxCshcQaSDQko2ZlvhkozbOAHvkrdTdxY7is3UtAIeA2CmYLRVXsQQLW07CWu0eThLn06ZnD6d82ozU8l8VuU9EQoUGUL5z3JdcVijcZqdw6j5vc4CTIFNkJNyjpDrVWqisFNQkjr4VdoNziZHnx1r78ZvrULvhrT1i80O875UGOgI2UW25VvxjPGuEjJt6YETAU2RSWb00TwC9p5YZ+DJiTjMJPPj6+F48PP2ZquzD79k8rENC+WZJ605eQV2DJuhrl9rQ/IOm5MQbH1ZJ6GlreI204l5pi2+qBErwRjsjQSOevJqAH3ip2d/FZ7k+ARCfmLkacgXq1zTZm8z9HHrPZZDAlinfjmymgkbU/I+TfIS96zzmp9lNiEBK0gTbaxPVKAeDJsC57TJzBwplnFZUyFtJ2C1CZfgXUnGT/vGjo8SOWLjfWcziTsdrRveoWcwRSDO5LFemeairkD6DaCZ+UwyRtoIMxSd+rzRGT+0TZjGh91rPVHHbZ5MdNBVASktwCexcJI5P/BVVWbocxhc9Ey0sYz1dEexRzFdcmwy55WN2UYyfpILvJ7hIV07Fr3CzAQGmsw5gRCMFpAaHyHJJI9c1BMuFWCOa3dfOyCaf9GCCbDh2GHxy88sy3GN8jbdHsEJoWdy5K7NJVNvIfTJHGr1SfzKqPTyP8lmyusgYOdpV/GdzDWAYTDMzQjWM+kROCOE0KY2xVqnZahptE3w5vC8oVNWi2C2ML5i8UQtbTOjb21l98m7E1i06XB+9Bgzrvi6nl3Sm5l1unKetHmkXsIuviRLnzEtRU9mRp1nCXwyM9ekreQMmSAbIWfx5ESea01rb+Ic3Ad55fY5gLBx8E9ztISj3ueAlQ+a3j+w8I7V1M0OXZBbDbMKm6SOFzh7WbhFHIsydjJYi3L6VXK0MaL0td64c9HWaRFCZGelzHS6isnmcqjhAAmSP1A3TTe1ZkGFx4QxTtGmbT7KSKDhu4cmFmXy0UTM4HIiXjGt0zOuxGbo1+O5kj1JE+4LlSZtu8nOU2QEe8+77mwyM0im0yde4rITGWjUCsKP/xQuCJp3g9XJuJi5/Lt0vHKZBNRpCBG9/w3uyoB0XHWoJDYAnHx81Py+dulvtUWrvST7s8c69Ui98lxwABXkIukzUydT+645d8LeqpLYZjI6Ir4QhIs0mjJbKsnJ5Gk7kxn66RnoDFmgD8m0XUnGdc1YknMuGKRoc57StWXYYVSWUlLpMWL3pAEMjsjPS33mHSaM2EPe22aKs0ylDWu7QU4v+8Kf4iZLN36t0lAgBKkiG382ZI4MoMxUyAhxHWVOq7x79cFKUtfEIpv+Ol76CoSakBvnLfcMWVdz71kdlAtBoa4yPEK0nc7nymdRTFm0nKactFqGgoJ5Vl5lxB6WISuXiTzCGZMZo9miSdB9BZqn5pm4m8XRr6XMFT2TXKROR452aBehjGsyeiRzVdP/fJg4nkkfhpw23TyJFUpQFYfM7rtl1bRzg7pfFcwRr0vwUkMXsI4zIwTuzstal5miSlschhA5lWnoo1nWgollngnqt/7Wb/pnf3s+eJLrtPVyGDMNZJrsVcz2LHPsBLE6bxxWSq6wF/bEj86ftXOVKzeXLbKTtP43ypF7DtGGxsalnRWmphXwkTp3lGTMLd0CyBmNKINTy2QmqkkIlI3g040cq28UnE33K2HDoiNeo2WvdvyqixQmyxhRHMhy+u4sa2UXihDavXmaVdxtgnUC6tUd5ewcKu741rnxW4V4SPGdHI7yDFCgMV4dO95UIV7AMpYs3mo0vgfoplIpJGyFIkFWhBcETiahKuBkXNqQ2vFFk2yuiS4EePo/J4jDsUSjpKPZ7NUH1QEi4vDYbON4N0CTsd+jO4nnAnEiAn0q2n7EOeTiESCiw/lOxbmSjHknjTV7FlhG+ssJTYimDBq5M3ZKzyMQg3GchzSRV2RVVZs8BHtByQiinKWqpFe1aRtgWH1KSktc4SQr1kbWgmWjsMFfgqeFhAnlew0tmRm+BqJZv2BiJV0NH41NOUPJhG2dS1rGVePMgE3RrpmxTAu5CJlcXoEZKJ1WP2iMHabMTCaOcWC30Q7ba5bL9iJ7gODz743WslmMJA9hYkc2Xj5kVpibPhj69H48BhWN3C+8clMHITa5qk/4xrMRCPxWmJAhAmf6V8jEz+TspLuj6ryzQ9Dx0pLqGe26MmPNEhoZc1s8rPjOkp6+hzpqzkvMOe/jdtt5aXa3Bsa1ta4Ai7EqAE4GYlQI7GgcB8eOLJT4FxWnKnMxTOdpiEl/OGWjkhls00Upj4E2/mSCR/jYF3E+pAxsnZhWi7nXKCgO0JjXxvfKiZUjpBaDy7V5s7QrRvRGiRVnjZyptTJc/bby25Ej8czEHElLI08dJ/0R+IDbYmIqe6JNLyuZzMxZbrWegNRrN0+79j4CfeccuwpsYsWqgRWgE1JsO5+Qd+63YfFxu+2uJ+hp5ntOwZdUQLkEdRyy497Ze1pYwVWQcRs6PxHuyZwghLTh7zadmd7s4jhNERylqna4hnk341FfYTZ5fCqj0R9akldkhUPj9JrvJtcxHLLhcmcq3AV4HXlUI9uMzRVrJeLdjYKwtjdR2O5BbkALQ4PArh2+LYDuyCb1uGUSbSnd+9SXUFpWtLBMwwIF2V5iC7g5eV6XnXVY75r7aWWpNbf44hyTv6CzXrDdgmUQcoCZJ88tzkHGe3TIySVmK9qw7vm/cZ1V8Sp+olEWkvrukaYVRd7jO2E13UVm4umY0tbWjnDs9+JvY0VkAt/ZJJ4WhIXkPnUQD571057cnsOzETasmRQ/SEB821+nUWeu0omb9b8+7AncZ+o5uzJyynuqysZfWt6sK1O33A7MuFepjsLjMBcwBKp+rbIlOcibQzsVSdPCNu7p3P7wl/8YByjgRooru2lV6Jy2PPuINnOunwTY3Grbui2ksmXvxrIVoYLhOoSTdBpruUiVrdDIqwGUEvXfthZbBa54xyVHGPrJclI0YtTJVPM+Z86ZYW87SqOJkrennHqLJkrUJBCgtO0EHbUk6WYsKnlb22gAo12NN8/kvhhoUjfZMzZy39zTeIS6dMziLyNeOnpaaYQI0H7SZXtMhQhnUV/5fd2OmPUu2NrMEIIDnrtyXe7M7g2dAJnlIZxt7WxY14FN5UW7TFhhOCXLNQLGPa0ydQkj+14B2tEtRICyrP1kPTqomG+sFu43bohdbnFtau5+JIYnx3OAMqNCJs6hISaktM1wSXqDs16JI6h7b4a7m013IL8nnBjj2r2zlW7TajZeSaiNqu/Gr5vSFMcqb7dzrMqLUrceJtbYWjRuu6ZaxLJkeTKnRAyJFamAyrA3VRWjKn+nbGPt95YjDc53G2aBF6G6ChvEnfW0j7e8k1k/2ck1Q7PNzUkxy0VkQWvd1lYkkYJQv80NbopprmHLHDCHv9WcFlKvMqHfd5/sFFqR9jD35N0DigSDRLHZRTcuRjopgqyS4NEEmPGeltgqFNGqVPgYCePvDeZaYkdFbhfdA9/NrEOUS/Ic6y7kIS8aUD1Hb6641qMIL4LemmbrDrpevruZySw7NGN64/4cvo0XmOU0GSciZ6rKpEPSzMzQzZ1MrYLWBfa2sm4xytzHioZgJ4PPlXKHrAYmQPubuK3p3vo81h7bajnxHHlL6FiTsePklXAnN99JwrGgaoBcCe0lu8rwO4MFjfdOGhznxoko/D4GIfT/kJV1Q+a9UuyQb1yyEHd3FjrB0R4BBSc7kW6P7x2rYRstlkEy864CkJdvQj7Ty3HTplTFgdDqC5WXZQPRN6nj9uGU8L5bjlzXwler3g16HtUNGFl3g3xmgst23kw6OOOxeM/SmlcotMhxeDjH9QYel7e0EoW+LSG7T8GKV7NidEaHRVDPnoAv6x0xs9cAxbsF19cXplGMhQaZ79jBVE1stMLc/dLW9y0IHTdyq1CGXGbpalrlc2lk50FirTC8XyyILicrr51Vf83yKqORlyja7KLtNmHwjHtP1vjLw2eN4z3TYnfW257zkM/mntzCkmKsaXzc6tWQ9wkofdJoctybHDltQAGymV2WbeF1uVersGVt7p5PM9M378KKl+VrwuufK7nzMeAm96r5hEJRDNZEkrxtWCD9I2rTbz6cr+i9u70a1o7u2KAznaweBc/NN2FQpYCquJOtFOjbjVh1lyv5BElrxleLAiKORJa0CXyNWu+571nBokRunJgRV60kXVlmfQcHj9h+gm5kTDLLGoEAKWcfgUswKNMi5xZW9DvBH5s8XEKOkByGPYVLrmjr7jdq29JG2lvEGM1xwMqJuUGOZ2lLY8a6STHq61Fh1Fstrgqf4jOHxovAyX2IuHy6rClONKoP0M13rnerzWMvqWMVvRKC5b0wqyTSisdCCGiGKsZm+tPYyV0wR1/LA7IfYeEbbYO2uf3QMjm5ZgikY00PjXENd72bc+CT28Gy2fep7PDjmPM4MzmKBqTvsXqIXnqGf+OgOA+Mu5Racyy8dck41trkLDHWjbKVy+J9bvGb0xqkYamK2r6bAui0zrt9SVAR6NfaEa2xilgtjTpjHpSnhNR/BoaNojOaqXNn7eGcE+RWIjSnqn0leAfZBdn4IaIRQgNSJtbdvgBONZEClLEjgei2LdOR5VyCMc4jGX12LBVTYSkX37wyrBLxqT00Vv41FSt/XsWgOZZzduVmj3HAgunp1nJ0tsURaA6Yaj4X92Iz0GfLPML5SGzIrNbsE/lTebst/JwKM8/jtDtB37IFfQ58kur17TpToBAuUaCHMGVwb4AuS2AJTpnTDRFOVU5y4cxd9j5ymUlnobJ3TttzPieWqQGGSXC9hBUYKsLJLzN0q6I/2pOyQRvckeSMzc1Xmn1olkHgVqqYOc/wgeEXhJw28dFySiDXX5wnD4OOtfd07mR9ushi3CNW2Q9xVpsFkljGC59QQdiQV71ovCZywYGACsg5aSa8dKyQmXGbZHLaQCtskDYXa/KA002cYWJtiE0yM2lb0iZoM0XkrTpFKrSa1AlgYaaNQdqzkcqtKPyBfZsLvfacE5nnsY6QNcbt98E5MsaW1vFEVipLO8MD3TTpOBJAMkqmOqF1SKqglK1T3QAAEABJREFU7SYVBfl40VI0ei3BDo5gxyk7aSmN9tgf6dSbIsOlASiTCrxnBgpJ+jr1wKF0DouEpkdbzJoCZc/CjZZASh8/FYm2PhoTD8nGj41Mnrc4gQoBTStFX1BzYraPSD1aa7QdGyevj91dUznN2ZVdgEY+mkiNe9DkkJkLsQB25TkiOILsVd8Vutq8rBuc3dy+XIjb7W1/y8MmWvk4AlAi0dAOUwTiOomHe+iTQQWkra/c3pUC58wxyWjm7DSYAqokKH4xjQbSGXeKDikfG4hxYxUhK6YReZoabQVaa85a53PVZQY5uYV9CGmUau8ZCk/B5PBFdSaUALuTjavc1Lo9gSPRmiZs6SnPAZwCIW318WIRCxqCNy3gFClSi0cXut2ghFGvCVCfNR1DEqtIazvAPG1zPcryO9Kq5ZPuU7ZgIL6KCOogx4vJpUb2HFFVR0Zibj74C/H83zmtjtmxxaqHO+WSzgr1EJ1/zTpN0NYKHaN9j9AbWIUu9QArvdibE3lPCvbT60ZgGZVW45UFcYp0oM3LtuAZSDdRuQRgEb+zIaS7jBva/PQQG6vWHunQ9TQdGhHiEDbeWcUd/kj5kieJxy7jT/e0dX8C3QGFdeP4W5E42yzdgYwLryrguNptvGgPjefxzcp9pGUzFjes4TvHt/OubfUQWwrWWWalMGEStosTw2oIMfWFptH4N040Hk0yQ1A3CoFCaG8Yec/SqRbbsV++x2AFmtFnZanYJKzNdyKDNxf0lCSPWHfCsRa1LDltjSBS664aXtYxPvblnI/Iu9B19gmdqdZQkNZBH8lSOGporJrPKp4t1YSt32jFenANaJR3CI6WldogkMP7CFbIoQveXWGgP5sh68fhTMh0oWyHz4ORBeisEEGOGXKspXcUvN+FSBDtkA+N4tf+Y/9UYLDubOuAqNOjDCNPK13iV8InRMpPmx1ZHvsBB6I3BE+2y3jvcyjNUhvqMZCV0JdEHDXPRzQNI7O1+7/PemLkaVxdL+/GBFmeTj59G4Gd8oSVoqEiz1kjhM7+6g/tKHD9k3wtMR/V6S+AzW9qds7/gE1AfpLktddajKcg23kEyIv2BGMgcN5Y0y2kbQZWQWyFUbZP6XG3j77zFgcO0dOstOnaBHs+yweGnbAiNagxxGjH0arPZiw6gfmlCLUdOzMIwy4t5H3esy0c1k/g0jo8iC/i+5J1bjWdIai1yIlMboyzRM0ndpHH2ix52p50lZf98E4s5djJgztakUecJq0DedD7KbBAxl9Fx94IKqsjnzToifcKBi9k4bfHXLejR8giBxAHMU8okdjMTMcpi7xCEPy+qYKArOzIV++arSf0J9mrItQ1XKqeVViBzCK+ejlCJra5/U7ltBcn794HPCGPZGKRnBAwhWTWCbEFvxOTTFg/por2csqQJ7Uak0eKRjXXpxvqqCxiUeNlJ62aLfr22Lzv4ux68jP4BtOZT1KkmshTXOTHS3hOoPZNacO9WpCrf5TpPbHzvqP2wD6pB2seK6ld/ONQ+YwW/HrVqmOfDHU6wvRN7fUet5o7Si1lbYtsad4lnj6F9/wCaq0Txb+KOnKJ4trvyREN/jgRTqzDL/Hk2QiEzzqOzKsBST2AR8zT6gsu++VytCcQ7zxSyTtToOIZe3ybjkt70l9Tc1y46S70JNvKnLqKUc3HK+LpBy9E0NnNOVEeefbELBWNwu6IK3c8WeeI4bGdjvvhnUgPdgwFex5lcjolbV4mgs75dgWWl7N9oPYKSpyHDMnH9njhHQSz6wTzqbfF54l2Sr8T3b70Ta3I1p2pELn7iPaUyM8hEoQ4fc3rgXlWyqvzLfTS/umFFbSTaSj1W99LVlVBdl1RCiC8W4947MLzMoOOj/UYzjoZYZOJdp/l6LQ40QO/It9pgxCecDm+25y9lbCdyArmg6PD5tAgAgoBNAtiPvSzmlDNEUY0rEd/yiHr0Rhk5EjotkE6SCfovM3y2e5xwtTFVYl/7FZmZWqhpRpCAXTyqy+PGMp3tSvl6cmzjzytLjJejSU+2l07qHbLClGxY18RrK2gy7zM5K3j4Bm2vZ+QhXkUMHsyKOyxRFvZqY8VNnQJErxlSDJP8JeWV3tsDuqld9k6V3hSVhKmizGPx8skKEzsl17FGEPfPP9eIn6qv75CPEpr5Cffifzkfs9xP27lsEL1butZ/GI9mZPx2i1QQLPdDMNM8ix8s6Ol1gfO0wCEZy4tLhsQ6yBeMbVPTy/apW5LdhIMapLx4y2wnIfQDqe0flUIqdyJ/GTKcpBOAHgaq8BUQIpfWAc3jVaYmCdZfY3yZqI7pUl0vFP+vZaJw4f6xDPpe9yvTfyLeJ79DBA8yp4kgi0k0z+ng3IR16tBJvGzNbrXIWdTPepjzkrZ/54l/LFEnIbM7iFw4ZsZmmyvqg47EmWDPaalVrMKNGk7csEbYdZkrDDxUS6FHFE2Jx2Glbmw/102bfK+W5Wq8AO+1vUfDPBbFR/gyNG/PdcqMRAduJaFTVe8LidXbLMgm//mBz7/kYMG5P2yKmJg7fHQjj/ZdpUTxcdeEpdDB6aQDA59EsVJMxxJ544ygjnkLZhk7pmxpGQTq1gcCfWZatQbKTHx7eJiMByZbW1OGxUwiSxnMgtI28v3Y1WiJEAxyuyzFXS+DQmdrbVZ8zT/KfvkHQS0gpLqybTt8+Q12gOm7QSJbCqxjUcQp0FQ+5Sq4zk0tOWKedU19Etk18Eth9YSOw7N1TPvHquNE+BKxiWD+2yMMO3BYGhfNAWchXlg539iHaCiqFNGT6BxKjdprf4QmKmDf38dPUHbQ8NjLhMISRCZpmtW/veNU5Kiu+iTkEW7LNFQMcAvK1aznAN2gwzBhG60283cOxBKLCJh7TXKUJBH6NyCNVtzjauasN9rPkTmh1b3C4q6lW8lYrYjOtIaYgpzbXc08mMV8BEKpjSj4J36krZAi2DdNG4g+u60eRhdB90HoPb+P77CYq02PJU16R2BCWljq8jajfNeiD5J3mmeGEjO2CfAsmUH/+je2RD47gGdSoXMxDdyHuZmzrsTbZ+nevLQWHZmDsg3NyA+R9vrkEV5U+s5YNFG6zaP3q0lx/dTVREHKtAu+SJQ1wKuiyWnZkUIxyLzlTZCOpzVjgeV04FnrpTqxquf4lecrYbJiYZCHzXLmxR5GZqO7x5sn0OLZpvKhx7LoGVdh1QnAhfYkGcyo95jzXBNjrXyXtVfxzJFjJ1pJLuZqEL/hJa54+0YbicxeXcigeKBOsY8vmF5WFGAceMlrOQ0SRnkIumhtZz6ThM7jZnMHN9ah2/eiz+fhYDQhLwqplZQ5admylOBRz2NHOEKjhaRW+LVe+BLZxJskxlrF4RMtAqWnP0ml4NIlad4LjKS0SZxgAQdhdOe1OIcxJq5uhEmne/kpKvFcLmL6SRjAbAmuUJUc0Q/ck505Ud8NhRv/gyxtPPlGaSW2WVyP1sdDhJeAhV/CngZhyEi3ISuhxqtJVnqK8okJ36L4Z+EQepeR/YiFYg6j4USrU/JucrH5RLFHva+nixN8eTFXeAqxgh34SmsZKfCWkS6E0NgIKvE+l6mEoEJIQR9VrrsVWSeQ1vyts7RSu3mDoifyFnrI3NWahPKS2F1SeooRL8AOW2vEZclHwX6ZbQ/0cbvE07DYQd1xnQUKLeeBnbtqIxZ1iKrqvTTnVxnFxswr2iTeAoakVAXB15nT0GBoC1+LWSauUF2W949uzdkBNyddL/3MQ808d4lJ5wAJVxp280cgEtmKj/8QLMAgsiECeuOx40jZckT4Is2EWvok7a9pg/a7lYDL77laMqJgnlU3SMft5nomGZWDwbCOHDRmSjqmXM5NncQn8HYDLm5+kwS+e6o4In8pN5NHNMsMNokujpzmufHAYpUX8sovy6bwx++5b+se+S0Tbh2DCkEo1a7qPnc3z1hnVqMcYifPAaTTXeAzOWaDIoCIi9g9sg54MTvymBz4bcow8AYolQ9g7QVNioaYJ2gez8fg+BrZEXYZvXAsNtotZnccYb7T1mde/Nk7sM9YWeiyhN1BJpGZWUb7rWGMLG5nAZq2GmKApO6DGz2cvCRpUhk6dlthew8LVtiqiolMp6+jc8xmoCRMphZQUD3jHSElWfy4dn7zNHSdhOt/adLz7y+05YM0+t0WGdyYnc9BTT9rrmIAUR5hB6CHdXqwz1iRTBFod/Ttm4kM5loqOY1As8jvDbVwrEs2K9ypCr3moAdSxD0m27BiyHyXJn+jObxS3IyoXFNMskZijs5Zbee4jeDtqNt+E71fGwD5DV3D0VVi/wyHon+JK9W8kDq0wLI57vVO7rhmbRnzga6J69sniY/2yGMOY0BuB6rGTBG4iWRDGdSoCPZ8eNrYU4PdPmCxJ/hArtnBuhbya6YG7xv5B7ybBL2ytYSnVzBaLUuveIzNkqQ1dqMD5jGFjnnUVUm0jmGcUQoGS3mTZTegEMjFwfyNTOl+PUemQJbFSBIOgUukSfBNIbBo2uXE3g0n1Vnp8qhJBN/wedpKht5ZgkJfimbzjOORYrN0zz3EbvgRN6iU+NUukFAutk/VI66O21XJsY40UF2ApO5jYwmRbSxLso05p457KFOLlaSeSxgdyWVfu/kw6ToScFGnmUSe8n1pe4941YijVGFFwmadVuhjmn3IInIM4MBHBUQ9WjbsD2LMKlk5lIvP3gYe1nr0FVBm23ewZjJ3EnWd+Ca8MReepY1xhx7ZjN4YHmXBIiCUks0WAM9rGQrSHX2tydyg4uxR+N+b5H6981YMY61BcxTp/1CxcKsYFxCzzGLQOfSKtTfhEOdppwsWV+ttP7nI+D2OeR5MktJPFZ6XY+KRmbs61mriuRYEW9/POEwd+a0AqoIYzHXBKzUbVnRuCYqSdth9DJuPKC58NgRDveInbqsndZkXHPAWjdkvtAA9ec6jj/wkndYsJaaY107Eg4weWzKGsxrctoe64VAhRF25x4niRk+O9pT7BROgJi6FJ1bcxaaNu5nMT0XcB/TOChQ+24O/VaHPIU65LhsphHlvNZHoHKuBMxnPKmvKB6S8ZqIVGvjZGUAn5WH257cKp54+Csgr3drOF6bEzov+2QSUbZBXHTgG8L4g+keljTMzHowsoe2c5bbXjqy14RA5bkRoW6hG3kL65JuKbJqEKW6XUNrndSh+yGRE6gkSdcI9PCnNGqskImtBmWlnI0iVThJJmRVJZnTtzXYDlIcJpDBPCJdgORcZdQEaqw0lE2PMxx7H5QNejQETMI1cwwsKwxc4iLCp6YFSY6q32hqPnYq0zwBLRlIMlqcRGxt0ZezRTXRXsHXiW+mvpPwEMl6ZTKT5DJmJpNSoqmWb4UbfteyaAjvjBMiAgcDx24S620HM4j8RzE+YIJtbUVvFqemzxA9mUrdzB3tXpM+m8k4qwgQeamOd59AB4v9prCxM0cccjTbmb4As/taxWGcGTa+bmIAABAASURBVNZgETbajCTbq2SZOVPMTMp6VfVS6jDzGEW288nM1Hp3Zld/LQ14jZw9iqyf9JAS+6pir5Uwjo3zfSKJkIJiRFu6Rx+EQSeIsxQGx0GA9uRIChFkD2fKmdPqjyTPidaTKfkcO0J6TNleFRZL5TRKjbYTSi07J7IdfAQF5MdIMOtjYPhFZb7nqHU7LhWm02IZSopDmo2iQGPoLKAnrbcJUoOh9zi5obSqQ2OXvgj7nTsy1yiR/CLXFM25Fl+GyMgCrCSVzQl99HIOhSbBPOGWlvRf/xthGXIeP1GmnrOs6rgYF803TCU9h41zYJ71wypIpMtIi1JraV4SiHtvEATxFk33/S1Zpmhw1iNcfBstvK5SPAi9jy2wHo9Fa/eg5kpRsUYjR/omtOr38JfrzA5dzzUoUogy/sRGYbU1Rd9iTM/z+cqNv0qRI0PmqWpxW6fSXu9WWlHUd6V1NvamsTZawea/45dIBaO+/rSfNNNbHIeNOKvBnx3oebarKoghO/fOYq7Iy3ChpgUke8m7x+Z3Fc+7iXf7f2h4Jfqw4tUKrFVAzmPwHRrQYm7we22EI7mlJvcYzShXQDtOI3NEFsLkKQDp2IUgLg5fkZlDibZP5OamtatVCfbtl30vyEk1NP7lWFvMoh1WV7YRlajXEq5RwR1a+y2KdXbs/CYdqwBI6kS7k2uKdkfJVE+igHuVe4WnlStBkArZhybOuZMeS4V7uUyjHV/CAdIgroOrLqAckuNG23Udz8pEuM8RpcdSOrC+UqdqR0jcdk7Nn1i2D0dspicPnmiV06K8GVLytx0RyCkuOC1pvm4kQbGTVnV8g1XhIrSYTPyHvUtIrktzNfZbXYyxs7Fj6RtofSbO/zXq9vhaNMPIvdGme6UQT2S+K6+AmMDegqWBcgvaZJLKMaXZUVpH+Uy13GettQFFmc14eU/kqFEPJ+A2sRD3LX7Lu5NJ2719O2RBubEsEUcMX4Oez5vHKsiNPDZ9rEmtd+beJNyS29KEBWJqoesA0mjCNd0hinUZZP68hZBi6I1eD+BWxpq8UkQ8I96BPn6b8k13ipqaMn1ItszlGOe2hPZlfnwzmdK4yHwl8Vov9ETuPthd1jjJyWmsk3VBRxstCFWmZ5mov5ohVzLYZ75GijS3SPrOcJxN24woi+pe6Cq5eLLdT9Br7+qs1kMgCrgcGTy20x2JNqlQPvAKIyTTxB+tzfvsaPcESfacj3Ugmfcj9TykQXyQttU0657rCG67yNj8qwDre4bJgwltiQxzo1ZVDJWUqWen5T/z2I9tWt7sZG76uKMKaGMAN9ew2tWpavxdHpbzUqgxc2q8+ToNGcRmr2pQbGbwJ/sGIGXWT2VlhqOIA2+SObVuZkjGnXG2uImzuU7gSUZQs47qvzYu38KKFGAFSwLI3qN6GE//Kt+chiD2KnyR5M7Sk2tcTUfqkaUrgMJ6z3yQFymZcL3Nm6sboAaFyIPZKfAdQddWg1mrK5oWoPhNhbolOxk+dyns41sBhKBMfZOTF6nCYo8hchrG9k7AYnna7Ly51Iicu7Hu2dznPbrCX9TdKP1alfLZocxz0GMV/p6Eb3I24Fi2lNBvrnspad0bz9I2fuB9ckRXUFm57ekS9i5NSkVNBGR/FnPliJbmFV7eNJJ0ypi9YQlrg/BlFEk6xONiRUS74vRpz42rMGHAHw5xY5O07c44kF1Baj2uId3dkJqZR51XMW7poeUVZHJdJyqQLIiMYb2hjiXWTQ88Do1hZItIU3BkoZx5Nkt/oh0BK7YesIAhSto9sk4RLrLkPCEEp7HOZ0WWy5LMCSfQkLn10OzoWtzxZcm9WUrksFta2mYyng+W9mSGFs2ORBlSR3q/zdAggDthVacjSlsjg8ZFlxL1J4IRzpFf5bKqeMP1jCg+SqaU72/UqVguyodls/G9huZXffVHXmFi8LKdbJTnABSBz8vuKrC5rD07unLfg1brdLLf7uL4poHynA/jS8tTzMIrOjWSHKLDpsU/TAVELGBOpKXNuKCogA95N9qmS8e1U1QGklLs8M7I7boiyAz5StvN3DXOenaIyGZhDsGaacYKcOAJnYawqSi0bjVPfDVSEMU697FMC5vqZ2COSjsyTo1+gs1TycyhjlgcE5redTNzRN7LvMCxSgi+o53LsIIyfjYqAe7BIucwXV1P8IAu5RUghvHGPd004WvzcNbZAczItMCZ7d53am0QzsGo+oyCBZz6LkFnoCWcaB6+JOLIVUaXtN1IYKwG5ev5o4efz9FyWdOx9QnITKk7mWLnfEhxWcvHeHU1ixzEMu3aMsCkgts7cs3d4S2GHs4TtJLCWH2ixnkhk0lPhKGS8mqAqXkh6shpglTPJuKM2uNBlnSQy1jsnCk9+plcbqtgyLHr5Eh8BSf3/0WKWCR+93bNaT5LdUmEloHvYgyVbxRAsuBMzU0T0FxY/vpNQeF2WHpod9o8pXP8ZZ8ThIAWLIYi/Em7AoyjaFZyxtNSU2b6CCU3oZ4p8mJaRsAkOz21Obmoj9A4x+URhmHTufwhvXxDbE86z+uuFJPNod6VUyOhWPISKJ5b6XLaJdMcl6q7aXmyEHJKrAAsJZWXVKEHtfZYtwEE6UTdIekNAqDV2kXoZWVLLuVMpRGPv8W8qPWhyZMgWX04gNEoZqTNoZRPq1I8MnCZJknvdAWPXDXuy+pBwTmXJer0MWTaypuMn2wJFWYmiUlt6cgC6OnOp+nWL+3xZsUDsmm7WtXkijYiecInwZ1Jf5LXgj5c8acu0Qi3FO1ZIfiWlfBNWnQGHMYKLWly2soEbVZBwjpSdq2YfZ7JhCYZSmuONq8AN0ueIKyTviOmmv0dsHna9KGY98iZyfLZY/T7IK9gDhlzNLt7rKeyBBSt2GSAlTYtr7HOzmL/TeEZQ6WNkmPqZUHQKSJHiPQ8IJl36xzfJ1Lqtg4OeEfbw2+qoTEoNZu6JJM5QU66SUPUaRokmbiO0iUfEVrzEnLaBEGgTfKAC0ryzHcesP5Z8gq6s+KkeY5W4dBfO38sQR2j1o6PGwfG7md68rhN8ZQ+ydlIo08VAUc2+91NG7ApU5+HAekzYdHlPJGaK2285/FMnqhKf6y7DQBN25R2mBUgu75PrMtN5PZZF3/Mm2nxTA/T/MiEvvfeqryAVXzWAQzkmBnoPugEFgE9tI91nfMgod5nnxLiUjsLEjVvUKzzipyghrEGY8kYWJUsdLtITlVSZOT0doTfnmFKq7GpSZuD90YzPmqFhc/OlOfvs2pzyhuWx3FzrE1R87XTElNatGma5m0IuiPWW8yoPpydXU9ktOUMytzzWGtoAlqacv1PavXlZmeQGurUBwaD+MqTrnaUp23ra6SjbjI962giiAMht6L6OTSADtswu6xYN2U01HlkafaqfjFYFdveyPjjBJRaF+arazIHOQFIcFUk9ZV2I+qmKWjpoKTWFMyM3iFN/9jIoUziuXIrE6ltlFXfk1/tfPUW4HTq8qSAtaPRS2N9gjSXWKwsjXesyZx3TvEzSYDLZSpEG21VQmzf0Dv2XWPkyyUvF5ZzQUJMgpudyUSzbpxQxfiU8T34Uxp04+StXK4TDpCMnxypxM0MxJKqnXY6d7LOzkmxyqKegLOotTvaMYSoSdCjVUZBwHve26WkJagRm7YZsTgfFyn2cFiibbNVLogRwxZcocyMNb3GzCM04JSXnu/gHYOku8JXUZTfgNmH1beBocpKOasY2FJkx5/LxBIBGW0vouWTVnAagkvR4wacKhH4hdPFPl2oUJPOnxLmoc5Ef+RrvSDEO20LnwodZIt0ZmXhCU7GxulT/F4oN/7Ax+o2CM7mmT1Zj+mZucOvRLQiu53rw6LDxT3C9KRY9TScWiDEdqCusPYCjSOsSupcPrSbmJnoiWVNmZlEkiYNcaD364h3SbkmQuXdKPFxkYK40aY2gz6xNh+DzVIOYor22mbA+uRjHsI6VDGjcVTGau/7QWWbsaqV2MdqQgYleT5RBeqbp5WWTGbUPy0q2kQyK2sP0BFRxshkZkoTI4SkXy6Cbjt7MPMyRAO3PouN07nWPyIf7QhSO1q/lB7oNY8aZBepXT40cRohoQrorJKmpB5TNMcSvqRkzs/jIsojjEW+aEShkNRx/LKR9ljFL+M8b97xUuml58mbk+XgZ3ocDv/ofSQIyGbF1zsr1LVLPuCYTy+iLuScFHk1hJ7Vs0HWhycarychBtmTwb1ODf6waA7QzNIgtsXlCZUIJhPXfSLMkIMapmhL3xSVjn5MZ52F6qxH384bEXU0jrbpLPUHsWV5MWodJ7M47Ua0l6pCgL6wtPh65fhBCYvJaB/HColCIosOFaF+exBXWb5tlqykwdicGk64uA7qgOn6RjRvShaciJnTmKwPKMURVAJ77/WTheXV69LX02bFqRODTByedASVnF4C/tMhhMAUv5ZqHPumFZEl720JoikXQY7j28JUfjp32z9zzK/XvFLV4PN93a/g4TsS8G3YY36siugBlsBbx+oM1F0T2rX+oSrC6Y3WvcNFmy3Z8Iug6itOmZJAzE9/yXVf9WXTjUcGowCCYs5cdwJKDa/hTuGP0iJFsJfj0km1bGukAbdT2hijQL5Hys79CAXT5kPIukSG7muZ7NF/JkKtoph369oO2qNOnDzf8iFPV9UjHGatVJ/BSWZEEiER3lSxI+MPlLza0HjZL6EYp+6uR9ddefpEqcFe0kCsE8KqxoGyHkSQuDrqpKEI7yUx6XlUSwWkhi/zhRz1yAXnqJPKhmh6HWM6u4gaWERuh7Lk6olWmNMq2eyLP8FH/Kh218kBuztxcg+1At4ckznJTNO9R49iDl4mgeoQEji/V/zsUQN5CWi0ONMuxq4pjWx1lWMZXxx8mgB5rpIuSq3r36grAqLOXUwzZAZrzZbHtEUEOfnwamM5fYI2eUET7UzJ+In2eHMPia6A6yVtWmMx6yR6nvYQ9izLY18JiqwSHCD4evfwRqv8cT0zo9Xc/viSGt8mSK9aAKKJj6wzFEn6ctE9lklBqKSrykdng89JP5Q1IaNeOWCKkE8gMHD9w6e09whMRBw9p5UXk3vx+HDRGyexPwJTK0t60WNJztY+bV2IgKVmGRyLyvOpVpDfRgRsyUqwZNUzCyadhXPQ4AcZcnXwBNc4iNW96KnKNPUIRuUTvQLgdHJKFLP90KQ7cFb9TvKAWMRXrKSnIPLDMwt85sZyq6rKVn58h1h10+YoFtIRcZrk0Go1Jp8cqdObaLgs7ZetWXv7Fn6PVYIYyFygpx6aGkVrRodKT9J8y9eaVMsLp6Stvux6NWPLGKXamUqEB55+ktWazExellNcp5liw4dwtYLJRCA1eeQqctloc2amEdMXj+1B2JbTIlrAmZnLyFAuUqxn8F6RqUzTlhmgEO1NMYQOhr1MoynvSOF75MOZZPy4xmhzm7bWriLVNuSJv4qm81Rb6WpHjAsHAAAQAElEQVSl6PwntYs8pDKMq2JZtTfyBQxCHP2R6SKZsX6T75ZVPDNOIeY801q3gaNNMipJLIEaip+eIYjjdawzDZ7MlWCyRxtq81YMjP85K7RdU3q1y/oIo5FyRp6AXKpvsSF1DSG49jhTgVXeK4Dk/AoIOY0wGV+d0jLA0Sw5VQ2SV9EsQLTph0hNc+SSWiZF7zMX1Nq2VT3p9riKMk4mw7pYI4indKhJuJrGr9pDqKOrTFinkVK2KYBMz+xKFJ/xs4cRoUaQjB+R362hGpOnjVYrfVhor9ly4sg7qEZTWGoANEuvRqk2km49vuxRWabaOJrp1tLmGb78OZNhGy0h8G3Qsqk3eBK/+D95swbe8kQWitMTnpBgzrAnZzFdjTQ9jkmLPyLaYZzpmrYkMwZ+F5JFCujkIucMNXfNab4/qVOVmbmuZM6PKc75munSYyFNfScXbBVl2AU8V8xX8izMMWY6keYi1WpM9cwcDD8zZtfReU7LNUUH0j6TK4b/KXlmovdIs8nkw0NNRsskqFsxyittHtAy0a7cU2Qmd2bGDtd187o+ZU2tMbsWaUi98Ss7sKNdLAS+M/Ukp22Sq84iT/UOf5sVvFKEcWdGFZsBzOzUWmU6oZ1157StMskVG5rJCD+qps4UNEIvJmKs7dO4d6pmRuG3p5QQxu53Mqx8CX0EMlvyJGWYqEnqwTmbWqKNwC8ybJ6xTwGTMOeUNWbhA7tmzOM35oz/NI/McGX8XLupMVolnOqTs98Ps9dUulzWwTeZ9np7sKcaHZyQ19B9hFaZUygBdEiz0aTYZSJmA02nF0D2XzdEzqGwDutZLjZBO0c7+ItF1SdKncwj2mmjV0sa4HnCEwrwRKpIvmamn0TucT6U0yWMdmGllzWn7YicyUwyfqLV6ga6LTmvLEw/5mt6drSnc9t5RH9QkeqrmEoJ10sg9gmmtaHGOpHWFRYeulyDTp0xbfrhyLtvQBm+Q5LHPJJUkh1ee55WCuNVyJrJTOPsjLVBrhLJNWyngozzSrGTtE/kuDK8jTlWV3mxDmxvQq1J6r1i9ajImev0oAU3OceSmYyijcs5kmdnYD56O0ihrKTW0Rotk9m8jiahBkP4Ebuc83AmFwiPfSaxRDvYVs9BE7LOlTRRVa0EVeW01haB8HVWz/ewdOQ4ZRk8V3WZTMtV3k1K25jce5eTpv7XPGqmP53yCDbONxu7eKA5NYcD2ibXxM8wzjINJjlJn/+ZSdjzrOae1eQEmVzRxmC3bEyZMds4606m1pygaZPuoVG29ZeBNF255JqZxAYFn0B77QPI00QWtjp3nKC0Z6b0OzVNJglgc4TKrZl2dNNcnd5HcJ3VWiauKBVmKucci1MWRIclHoYTeboDj2zPKtw2/Rtu4rcFU0Lv9Y0/MBKEgaAn5JwmHOYac7BjnWPKNTOvk5uVMmVMnrY7QzZKawHel+aLCWVmGiAzk1rjSFe0SdQIbgfOZG5FDhwl0ydv5lg7zZV50ZLRBJFiKHoj72QqJp7YWqnTMZAQkoiy6lxSTpthPQ8ldUK7CJlOxi5xAo7J+eU0IUaWZFJfLgRacWW4JPoqN1isAZImN2z2bFMp56ZtOqOVFiBjJvlQ951UniiaNC91ymHgcpDSjkpT0HzI04ZulLYNWHVLyPb3RvE8vv8fY/8eblt6lfeB75j7rLVPCQQCgdv9OB0/Heeh7bSfNr407XZokJDQBYm70/mDxMEkjjv9GHS/FaAbCBCSrJIEiRODhbj4SewEJ4BAQiAJJKD2PgKks7eQSlIhlVSSqursfUq3UtVea6858nvHmGvudU6V7HxnzPG94x2Xb3zfnHPttc8pwRDki4vw4CkJhnJP/K2hjyBwhSIGOgYqQoxIaRzlJyJc1d5qNaqyaAMzJEutaNAmaQa06gaCIYYTWYIsVyCl2ou4aB5eHglwtRTVOStOhD3sJbG4RrtCwRiqq+CWyP8tddBVSGIJTzl0kyx6iVLCq64sydnqUY0JF5uNEIACaLlBimQQ3aFonl83IxFEZXlUBApOdaGDCpyAGL3oNj5UIaxU7TlmcG5StiKDZkPmffAV7RMA8M2ymuKf8Ic6wE6RRgDnQ7oYGaRTBDIwh3TPoh9LSK4W4g8xdOWn3JacZiUGpXhU/FUMQz6iCBCl5JSIvRSAsGAIzFW3g1k8WhI6tis6WL4LWa8JG8ObSpFY7Wr7GASMJHrESTqlADQQFCShNs4cQYwIYDIWI+vQlOFQK7fHbfcDohT9OshkNujnn0gNJBVpY3QkIHzITsO7lzFKEXQi3HW2YKIwvR9pAuXtg5JHUpyZBWiFmHbVYiKRk6QNuTJcem2wJEoPRnQhZkyVN6mUMArt9Z11hBjksnMCM1AQGXzWBzoxRnMRaEtwwlRQhM9QiYZBVGMHiBh6rt8IVCN4UyA1iL2aqSJULSyvCQoDuaFgm8wiPGLKhRvclQY2KYZ7hgyJaqGotyMD05JD8OQYBXeSEE5VvA9hk9bStYjhmQIODhSuSk9MJ0EGJJVjHHK7wyQLOtSDgo5RQAOSXFxdak4KDfDUtFY4YKQBbiWcIALLHbLxIIaIvfCCRA64CRn9YNME54Inkq7UWOJJI7/XFCkpbrQBmAW46QZiJC9vRr07qSihCIwyyB+kYGSFh8PwemPEFkfGXkrhPxy4pEERErluF5dqhD9LQYNwIUlQqLYmjjwqN7ErAOBeOpZu+RhxkDKgIv0xoT5YaE0pirBwLA7iGZKdkLTMNuWRVUGsI3eY9WY5LVAao2JcsGr6dkgV7I30ivYSF3LPEVSgEsdhr2o4l3WSu8AqhADsTSwayKyoUqE6zERHDIQq6FZUkIAmsDGhQ7Vi9ewlAZF7wWcC+wx5ZPq7jnEoQhpNAoIz3OPdT7OOjr45dEnnIpKAlAE4RLwN1pUcMISEu/jQcEkecAgxiG2RTm0xivcSBqFguEykvAVqwSkxqwESSiDDwKRnpStnQ/Kdy8ZpFYn0KYULEs/v1w4gdpCbJ2CQCA70EB5eDoIw84MIC5AimHj8BiI1lPa6wZAHs59wiTA27soRg+qggx543oIVJO3FYE07eBUhGi4j6cvPCQYRCH0MiiHEuqKjiIGJE7FWebc6aMZr1aG5iEMoGH6hwoaoDpA0BCVrnxkhcXFKzMN0VtpWZt0kdAg6VPCHoPRUbag1POmh2SRIEZVCA/LGud8VHAZUqHUdZ8BHi4jH53WdEgAFf8TAQNL9JkXkFM7ClULEZAi/aqS2OMTjR0m2gBCQ7CIiJPXFkYY4CL+8LMf9khRQ1nuBRsJHCmbdUKgGRTkojAj2iJX20kV7x6lgKMKMvZ4lTKIJljSEP5z83VjuGdLtySkhdscdFC0NIf9RhnxjByzJ38owIdKRAeAKmvFaoemFqg1y+JVb8SF8fh50MXIIEmOQWJsAslyvK0fSAx7IIeiHI7UzHCsFDPUHx0CleoT4TA3HJSGsDqZPr2IjWCtyU1AcL0eSQ8QlRykUIUbSj5zER6IrQVIsGCmPcBFI37h6aIkvYRX8k1dqU+KGSQoxqjSri4uf5ywP6c8FsZ48RhFpr5KtkMsqkT7VymUd0dP8P6XtjvozFMdWkiLKWhJq5GI1a6hIgBzQKiPM2mCttNerwEFFBJFFandk2EreC8fyOqgOi+dqqGZcJVNkE5IdyzQIMqHqh6U3Ql/wRg7qywGN1M1G1RTfPoh1RjK71BTliYpbxvuF8qvNlEP16uOIaCinq4snTUaEQuK0q7Ci7iGH3qYUEVxOKzCoTeeKkQNKybrJTqaeOSIs98xUz6mCQ4pxQ0COVUhBIlfmlDtwNr3opKsyQV7bky9+Zd2a5CKqOprGaIvV28TN+mBWDVbF2zaUaELsVTyqKSIpi44IgDTUsUeET7D22FXDqfLxZeJt0ylVA5M3ywWy/megMUqCtCI+JaxMPzOK4sUwUZNAjuEgZ4TjEYTcYMjdSXVQsRcVmNVcQdbAkth6fzQIhrNgfVLITzHYHTMiF4jgNogtDL4vRVmFfQ7G1aHWcgzAElEhQIcVBojzoGRiM5nwxWtPAzmtxGJI0lXcGEatFs25Bo6iCi55ryiYoCAHER70SEHVMK0OEwfBzyRNw5Fc6t7oM1nGDZQfwOz3yLfCLjWgTwkvAqEUZQ2YcZUEpKUqy3k4LXjL9LLOpIa9nuSaYlSMKhW+Hi1mtpaqNGGFVVYpZ3CxZJ1A5bW3or0BRRBRAqIiooFwKkREH05EUM9KxINlr8Lebim6NpTFfRPJkfr5Ibbj5UG8YyW/rWjZhwMeXRKiMHfciZSSMDWPYDiYKJyp4O7Y6d1EGl1cqRA3OfpVkCgUfixVgz5wugHXKqofbGBA+QKKIpKCxytJqYLimKIs0lPCZh88uqSxCM2bESNJG2TtzzclPGE83Y5JhxOE+NOASTKI9GqEwqRECbbqhRNLDCcraSIV/BFTioVJq0iTeIUdOGouQCRxaCqE10r7VCOipiytMsCIVB9WIK+fdeDpM3UM1CR0Togobp4JnlRW4R3Isdd3e5IwIOVgZd0Fh3FQbIpsuqtStW7Z/MBwS7jtqFwfCxVcg6ULWeErMxwYHoAqSKHuKoJZrsdMZdYd3GySODqKLlmJylmLlA+LNHtdOcGiZ1GB4iSKwdq9NbD4NkL0lOubTtUKpx8RhnNiYB3WpYbkBy6VadIddlQqNhFgRMKLaikipXBXRMSegj+iWIgRvaFOGRQDHq4KwV1SuSRIQZ+cRsjViGSbYrBDN2iSpSTOTF0BuhgxRi4kvBZPuAMCfxfGMXI8gZeJEm6CVETqBsKDpepesFbYIULpism9QIEkZkQ1wqjKlJIgQqH0I0q2apgRHtFOXpRyz06jUVijipYCiTnOYbJFBB0aEVC3D2VTHuXlwD1XWC2o5EihWNrLkBjOYNN8/yGNf9ZGy7ddCmiJiQRwFJsKaa9ePIq4EbvqLggiE32T+JB9Ey5cIHoizC7fI3Ef08881bOWrW8mjuCSNzaF9fZhiNT0bGCx7rS1KpwhBiQ6VAUdJIXkq6Z20ws1S0/PQW8KRoxwqFPSqI3BU1rxK1pE3d+QWX7hUW3FTm1HipitEX7ubSRDHVcBNs2zWU+8szWxRxbAGRFgc1zVe6SULoEXrk9IJqRJqwZHI+emGLzVKkIkZJ0NlZM7FHi5KkqOV42IEI+NT2dwIiGRrp9iYLkJY0oILJEgUWDg0jT8f1sIODiCRTMUsqgGGZRuEhZAIZ8o3mR1TyaZe21FcCxVjJIEt5eaCv7Us0qwRBgn2ifU60pF0hvPioOZoJBgBza2lYkvKIbrKABb6XfA+24mRrId0VSUDa4cV02MDlVEyB8lCcqJAwZwXhBsiTBrVBfRHBQQ1hIKDKmi7FSPhMk6Hh8M3m0YJDSEWKlbiihSqkezj4r2vB1pN8yGaiTOKSn9GKWCBdI+f7CkEYTt9PF7hRRMBKrc/fO2fgAAEABJREFUZUJh18dsCsOx2o5ifHdNUMZTX+SwCe9MrldmcODbwsF69oaChLqCwWMCYZPSfkQ4ghCxvBNAQpUBSC4RKQbH4WPx5Egvi2fkolf7AwUrouiRwnMyOTDyp3AqwoEjOh0tW16HlpNZ4pefxFXVUOCoAUaCqhfegKkqnjHYL4spGCkipUBTokBws9TDXqVxijyudKQhZGYBTgOD7QFcpvK5rXJ4amRl0/ami1FBcHVxu2wGoUUFrMWVWZJcLADV3bGP1CF1kZh4kXIxU4KVXCut6oJOeBcEUoeI8IAFclutMRB3x+RYJol7JBssN8iHxq4yAlMe4b1VQH2Ii90lYayGN+vjKEHEI3gLO7n6tcoUdnLhk1hCFyMS7CiaBk3ilKhiEdu8crk3R27ZqGqElxcPWZmQlKVTsRr5iDx8z0ex4fQZp2mWJmXAO0IyBaY3Fwosaln7wsGEmMfwRItMQbVgsDwEy7JOEohEUIsf4iyDhVfEQqlGbb6QRM/lLqB5UC2CIiamyZCo4Coo3wW6zuR96djQMHlDsuBWegn3KEbCDMwyGe6WTCJBMDiFQUrFU9nW3LfzuIilPQAZ4AqpjVLc6VVWeOoimwhWwWtAZSYJBsXpq4e7wpGEOaUK4oHChHR8V5ZM+oK2keSGcTpIPJwsTotluWAkKZnyIC+5FIGuT9ti7fVlUgqxN68r1Y0TS9iri1ENumRFKmThIoyqaAnLNQjyWhEBkWISNEYwX0iWg2rQqSlMGHWMWQCFC+ETkhqQMIHNJF53MUJVCLe4n4SIeTp1e3gPxLAjvblsMsmDhhk9cWVd1uKAmX2kFMr6aMBZ4p2SGrUeQcxgu+zh/rq8TU0gqFawXupC7DDYuMgFirZFO+SHIXQEgGMFWpIQlaqlcDLb5iiqqp1FOdok6WJr4hXt7UGmavREDRGQI2kAOgEk66TAwoUEtnpQkP4KOyJAW5t4qgU7MCm7oRIAXUg8TpTriIl0Bcc7PFknbHBZIh0UHFGvERVMVHhwS4gXXscKYPc2MiWWQlLQ3A95JMoXEx2V9o4KoNLxVEgwfXsFIwp4MsvjjyiKItK8MEP8CTaLqLwOkxp7renRrSIUJheheQgOv1JCki/crD6qSOqk+D3aRog/oR7BKMSLz0w1CYqfyZKCP6oRpTMg8PJrr+1g10h6vzyXin47RsJYOTQ96qFwtAjxvuTGtOUiQj1qplxZHAKQyrAJk3wpq0Rsm51Oz14reHlJSDBuJO3271BJjvwFO2k5FR5MnAaYHt3PACRHXOmTTHkY9YwjczQWkIKNQ/xqqWkEyYZBmueuwS87yQr2NYGLCPSFieGqTaCn+DorfKFAODFcAieXZ9gUg23bmdG45755SWgwqIhTcogYPVekrZQ9vPgch2SMq82OlDjmYN+Bkojw7CuJ5N7De9uB1WsBiCKS2sml7bCb0uTCOr4d0NiskFSrzNEAZ6TqIYogZ4QQ7qA+ptww5ZHYhjtM3FD7klD1iJ5aR3qGAlAJoRCm6bEK4DcrtWWHhAEgDmmv5pGsH4rZlsawGbKuSwxMKbtoY0h760woQhkzMufInrXdOHOK4dNWIYK2wHO6QEQYSxEAztYgtR0cF0Ii3i3H3K+uEzkW21G1xBSYs1CyMRXL4QUGqCC0U0rjhhS4M0I1qnUjbC809rpFO4XLBXmm3QqNQrhwTvFOpSbtO0Qcs7028bggk1NgXJksqYq7nMQJSoZOxIERPYHMR4SqPhrJiMBPxQx5BCO5EImdpSIsqgGu6lmWVTEGXLs4FTBIskemlm4PDJj8GC6ZQVe9kTLTPPtFpIjuxCSPkgPEsMmevNWQCBEeyATDW8O0dBfEUJBgkxWGKXldkzkfKYV0MSLwWvKCM4Kquk4TVXTDqJ07RKhoVQUGRUStwATgMHgm7OKvchMnArEthrsgrSIclK2UyKTI1isP/J76ojjdoREY60oBK2IYIsq0DoVkoGkUzipX2zDNkqxnVN5SPHBFi3x7Hn5VOjEtYu+S/4oLe6p2Uw49++btOIM9O7z62brDTAV6aQzEXbgtM1QthtzQwLJoyV706IjGCk1AUugRRq8knBTMwTEUZV9GOIMn17fLZUZCBMBb769qmATw6BJOtAJrK2wIv4VL9k6qakminHZOA3yTuOhE7RSmGiLSawIg9bSEhzo0esJlkBMrhl8KJgsuhE3bqJAERZgEbBl2Ivp3IlsVw2Ew4jEhFmJH+m4WUWGFWnmlaVO4Rnkhe6gREbNpigsGLYV6zDZEyhbAEhg2fWdweOqMahynwjYqPWt+umy5J8/ba9yCiqWs5yAlAp21a0KSSz4R5sLMBFlPl9n54twK12o55dFQ+Illdg71LYpBVBbDjuTVqo4xSgItLoQQYfpIsRDZRJFQlvjajRdscQcEkKEeRqNhhkJbydpjyqO8VPON9rtgjkhP7JYYRArCEDGmrYHwWyQacAXVPztWvPn6SJTsrQBzdUk0UmG0ZxcTVDOJD6FfH5x6BEwACWQiJVRtpDmuzIhglpVJL9przYxfbB6cbSTNEsANV33/JjnJTu4MUGKztl2H5fCYTZHCxb02WayB1zAtRYDJFcOQ79lutBKJjHp1RMyg8EATaYmYsaMjNUAHl6U+uwz6IkKEE6RpRHgrU/g4kdWtMU6mCPzOyXQyTAVEQCsUDA4j/HSWjzApMCfACilGcJXw4VyzyPQ2J2M7RfGyljjJ7eOVGdLENoTJgPTFfUqcsikPSDc92awTighRkDMXIIlHbJmEEQMm0zjLASN7hQVTR+QqoxVE/RpGeKYPnsQI73cknJmDIobcEkO8hRUeDUU+j5jj1WtlUQo7qCFJdaUfsELe2o0Ay2R69pWV2Bqbhtyd3XVURbECBL1jGfTkUC63BCm5C7+VESDvzAweljOTNiW0F/Mr75XH7Tvh51EMcpX1Sy+GJTQGh+bfasVwGToEee26IiMNnEpuucIAIljPkgrurVIK7QxIZ0oRGvmj6JOFSJsqb+IVJssEJVLuj66ItpkcARIZhPP2sncAHiTlIIB6OMRWVXTfFIwkph1JFBWKweuoTOsQOqSJBEWGuFIhiyIMiE4ALWGVIztpEH8dABYjQsGkNtNlIIrC5Xg+WerG0J0UPjmWkkRMjLaTLIXdmJJwJBbtGUpoqODQEDzaGTgUDNZt1v6gG2qGwlxYJ8g0HpsqFwhnkBuSmW5MAjuBGUfElCh24wvOk7wUuSIamdgMdpgYLsDxaxqwkANWEswUiUJgqwivCJZJX3jL4dgG4j44xlPwdynpRfyokBUOY/aRZXJKxqqywQSwh5rZJzw6Ho9oVr2rimkz8HB5MVIQQqIsHNpeBUQcXt9faqaL0CdMZSWgxJt3ng1n0IbqUE3WVYrUkP3hl1Q1nCq2Gra2cxks4TUdb58qk0SaACcTTcuh6S0CWJLTgYKQRzAwicPrIxLWFCz1WeFRoPyssr4Y1Clv0hx/baYY6ZAY8xkKKZgkjiVYCq8wIK1zcBYxKsJrE5M2CGZWyiOLAW1DXXIwCZcCuI5JsTT7gnN99UgCZE9dEmbU4Sj4k0JFBFNftA6HyercHUyJFIsYPujKEEw5SYNIwsWwxSS8Uu9Xg+OimJBHgr2k5K7TYdk8E6efwkuoi+YIsNOxaRBpL76waS97LizXTUFZkkowcGZ84UIkqBBFAAJIiuDWeZJEt47i0wokYbMDLANJATt/6oHF8OophcSVcq3CpaDYqDxwpVQV6E4JxICRgCLMZlezJh9JHCUj3nBgKkxkSoRlW6Y4FUmEoXCZknvsCzLFgEZEgHKUV83CCQ6eQ24ciPaKAIZ3JJYzAW+qoIJwlitXKviTMXmTmbJ4WQGgGGkDEfVDNC5WDxmVASAYaTBpMRJsAXq9FOtEViQouaTJdNi2JgFAuzKIqcOJCAkDHSSmzQisSsxyoRGxN9WMJsIffBWkJBzBl2JWqnYkBu3JtlU4Ds5JTESpGeeIijIlTiQK2PQimREOqVq4ycUkBiEmcItnm+3EtkUvERSxBAVJQbJMFNheOUzYpIowQ/VgAXjfoLLBquDmMZ3vFHlnuAqHQmAulwKXs0hKmS4iHJMZYkThAoMcqQoxClkLO0X55ArxJ6GUaNomBwtMGbugQKbCilzJecmnq8IuVECPMfCoIwpGRthHnWSO6fZBsg86d1WQJMICFCA6SDHqJBIPuHV7qiaEY3E5jXUpX4Zr43RQsbUhPC5OBmZplOvLoXYZKBjywJuiYiTVQ2FMtQBgBD4k+LzFzRNCZEv6lyRc3r7IjfSDI9nLv28kyekazByFGLUleBeyySpQCv7lM0WYoyNiqHCMSKV6FrGiMoWZABa8dmf5oFPBx36VZAmy7YWXRGtBJflK7yIxHeEziiAc4HrKIKjfElEwyc1URXineKkFCZjWFQNXMhVDD2FMEWgQFtiAGO/JF6R48JLKQC9BMv5QCHGPqgbFCIfJNBEIISKcAAzoQZTBCoWYaBztTfm8nAst4ezwiBAij/bCQ4mszBAjYJhyCnP/tRnzSZh9uY1MCYgrywMW3WUdVO3ViFdggLZUAArxsTspSVBWy641RQ6b1WJcLfOhRT60b3C2n5ZbtLpls7o8rh+Vq0fl2WXLej9XxFTAqvUyV8vNajmuF+dr6hBAyv54tm+SmPVyPFtotT+uqABPzHI8q5TVLemwRawujw7YHwmelljm+rLWl4kkJiHXMPuEJcHr/fEcc5krqi3wbtbLkZ7XyzwDlKyX44qAfRjLyqaZs2Wu9qufRaXsV6l9wZ8tdbY/didnLjsWSVekIOOqcs8uC9CR6/1kIfRq342tLqMT72rh4zK52JwtRzYyhdXGiV/vb0rGFVvYZwkk1/vj2X6eL0dcq6Vd5K6IXHoLZ5d9pOv9cYW4Eyp05GaNydJLVyjvuFrman9cL0fH++RztdRqP1eV21tYYS4rcpns9wztLA6BOr0WYNrRegnmUdHqMjWT+rR6thzNWwNc6myx8Yr7SfH1fj60HIlZ7eMidzwDsN9FrpbjaqsJQ3gS1pAtlymyObu0OSN4CaaHyl2eny19nqRPZSlYKWUmRRywoPlcVQ8VSc9JgOvvA3K1dME1ufucCV5kXO2zBfiSyj2/TM9lEo8sHLC+nGswiYvRdbwWy43nlbK6nICKIdiyWtpbr8aIXi/H8974clzXvV4tx9V+gs/23dvZMs/2x9UCEqnc/dZ+g4hc+aXARfqGgmekL3NFlsG4XibiMIosk0f9bF/rfTaIxhzPlsla6/2Rt9IP/NLk+WUK5mo58pqvLrNlgJn1flLK/TjAuWdLt+FcXJeTtegBvXJAmfsOK3Mk/byaX+1vuDUcyxnNL8b1YrNesqlcLVlldH2qLXllxtUyt9V4a5LVVzy9Fbbet3eFpsh+nt2Sq1toZlwvR1xnl/PMB+uUs30XWS8SsgqOrL5acvLc7jxbjHZZHeYAABAASURBVCs+kZZ8wiQng3BKyFRnP/2mXB7Xy1xRYckSuV5icovH1T7pebaEcZgX2h/PFpi4xlXzVNgnrDe4oTen7wM2q0vEWGBWJO67LH2u9wmWl9vHu1ktNqtLebYEJ0sAzuH3K3hJGwSPq8W42h9ZcbWfLHF2KY1J4RxYfX8ky1u7DD+u9/McfpkEt6wbX66X3ZhS43qRRPaK4BX3CGaRqyXe7G2ujTFHf0wtc70Vv3eXR5/zPsuNq/0NT5fXugweCVs1v6xq+yM11wt47wWAaSmeyBVh+zkBr5irbqNIOqHJ1b4Ph8rIqlbxTbwl2fiKFLzL5Fjok8h1MVUkyT3bHx22GGl4ve9dnO/naplU5tlYLzdE0tUaZpmkn+2n45c0PK6KxFzvj+f7Ixrvajmu9kfIs2WuSF+OZtD7JLJHpCPhN2u69VnxBI4rB5CYq/1xteSn8EhLq31MJ66XIwLP1lb7Y713I8AMFTiTy8nj6ph9cvOMmH20/AlvYK/jXXw8W45OXKaZxXi2n2fLPPNd0ArXApOAcc3jt8w1xZe5cv3zs0vjCnJhr3MJxkXN/ZEKKyL3E56C1ClmrJYqfjniuhBM527ODMZVnxWlllnpuWqwD6CrXN2SK47LKbkyifZDu1qyNAFa7VOE3HG1n9yL9X6eLdNnSLf7dYP4wbdM4lvWhc+mnrVy8PR20ADi5fapkCveSoogS29nDdjP1S1eaMWx0NjSnzBntEcPyHJztn9OQbxnt/ARijkCVrj2x7PSqyXp49nlTszVZZurfdbic2Zcs+7lfOhyeR9VYJ9Em6tlWvgkh1nw5OT5vrVJXJedu77MCSQbrBOoytzTfVzgXJG4z0MCHld17Gvr6mE5rpHLNDaywfV+Pa6Xc7XM1T5HQQ88tMYO268Uyi75TMsVicvNan/kMaD/tXNzhbkcrQ2oYFm54Lhakp5reGQJyDMO1mB0vAHp/dPKWWfL0Z8tjhEfKfw48+nRw1JnaEsl+vlMeiCeJlfwy/Ra6MJnC3tX+yNLE1DCN0waGFf7ebbMs30WAo/rZZ5jLkeY1T5M4l0vx0rE1WBcLS3r5YbK60USsNpPi3GuwZe5QTwDPiVMPo1pfuWCJCavrTeySPcMSf+04fvo+oSdYfLo8jDsjzRwRswSV57BU3xxvuJM9tmCVpj7Ix8OgPX+uF6yrhsArCi45MAvztMxfLFZjrhW+5vVcvOQ0zerfZh60i4blHekYS9Hhf1yoZdpZp/+k0Qa83OIuZ/rJUsjHFHyJWdtJq1deSSMJdZLMys2tcgJ7/sEVsvEW59y3s7ZgqU36+UIz3KAs/1N4xVgf+QwV5f9DWFN+pLgcQXwgSe5jUm0+BXo4mRtVqy7z8cjZ5LkrvcpQi5bNlgvvTteAYqvqGavw6ogYWRx4CO75r0ml5hycTh4N6t911nts1ye3VJ3gSKXg58p/p1Mw/Hh6dHB6RH6Cvr6EfrKydGVa1cPrh0f3nd0eM/R4b2YR1dOrh6cXD08LTFwis2To4OTo8P7jw+uHx8CJjk+PEWuHl6/euX6kfG1oysnx1eIuX5kfXLsrNMjAg5Pji2n6KODaxV8Sk2WI+XoyunVAwsMcvXgBH104AA0BYl//5XT4/ecAlz5PdePkcP7qQxzlQ6pcOUEXAI4ocjx4enxlVMqHFXBq+DD06MKOz44nSPxEsxRWB+eHB1eu3p47X006fhr1W1pUm532asHaNJPrh4ip0cOI6vELsDp0cEpYeQeH5wcHV4/PmTLJ5BHhydHNHBw7RgxPqXJo0O0+asF3l/6Kl66vZ0sVj89uv306IB1LQVOybpapJc44FZ6xVrULla5SjqlrpwelxB/dHjdcnD6vsNTcln6mFUOTuf23n9w/f0Hp1WEhQp4dwaOJPjw5OoVbiUpp1cPWQjzOmtVcczTo4ov8/rxwfUG6KuUJf6AXZQcnrCLYz8kmCfHBzYJOzo4PT60AMqEJ6DkEO1b4+0ccqSnR3Ry5dRFWJQnkGqW0+P3XD8yc3J8cOoih6fv43wOT45vp/MT7m9JuSr9qOoQecwDdkAAgheNnB69h4I2uS/EOPeAOjCcOcBydIg+pTHAETVptTucwHU2dXTAWZFVNQ9Pr257OwIfwiO4Tq4SdnDqsz04PWq5QvAJDMKOrprkkTjBa/PQwORhx5wcHSKnrY+pRvGD06u3n1w9PKkwHsWW+45wHV7zU3p4SqTNK+Rartp1Or0UFLkQ75o9XqXa4cnRgeV4AqdHt9s8OrzuUuW6euhbhnn1kNVPMI8OThtDHkEiRB6ebotUhWIIdiSuA9o75eTf58pTEdq+6rCTowOYk+ODUwCalPcdnBwfntp7cHJ0Ow3Tw0mZ3uzRIR96J2gq0MCRt8yBUOGECuavnBzzJByeHHHyV06ODk+Pat3jg6kspSxX4Cl7eszSt59472iC0azbcnhyhPeQMC9xFe+Vk+Mr195/5eT9V65fNY/r5Cr8H50eHZ44mPiDE/o/gjy8dkQDltOjK6eEXcV76JauHpAFOGGzRzAH17jFxBwTbPPE5sHJ0YHDCD46PKUmcoSXmOkphayb5Q2ekm7v4QlFjgk4uMZpHF+5dkS8O7n3+Mo9R1fuNXl43xEBzjphiSOKH7DQ6dHhyTH16fwKYDJhkCNiLPQMf3p8cEoFy+Hp1YNreI9Y5crJVaefXMVrcAp/9YAU5BoLgQl434X35OgKPwWmMFwE1FpUmEpRwczBtavI4cnx4ekRJ3lw4gbAJk+vXqGO+WO/tryt169eOXUiCyFkXaGaGXItB6euc3ByhPcA18nRIXj7qX5w/egAcyLtohrimNMjPp0OT44PTo44oiun7z+8flzVuvmjeiqOiTw8nRIPeXpPrx6cHh+eHnmzJ0eAw5OrB8h1cCVygPAnx17l9OjwpBo4NbhyehU5PCHs6MrpUS3qUoenrnDorKPD0/dfuR/yuD8/D1nLh+Dgw6rpxGuY9SXh1GG07TAKOvL4SpGkO94Mwe/HhCeS9MNTVjmavKd4wVcPrl/tIm7jFMZy5foR8Qgkx36F/k+uHpwe0TlFbj895k3BPOB5OD06OLHcfnKE6/CULRwd9urXAUcHp8jVekq5+0c0c+UUfXR4UpGNrxdz/ejQ6TwARwcnRyx9yKInRwfX7b1y0vfoiBjwIQGcxn28GseYV67BW6jPWqQcnPKOXCWM/tEHXu4qHd5+coTrysmR5drRexDjY5unVOAT7+jKydXDkwmzx8KYRwCap4jl5Ah8ha6ueSNe9/SYgO78Pb6VRw6j5smxvSdHhyfHh6fVMPeaDx9wy/UjIh1zSoAxdQ67B5/kRB5QysKnCnJ0SEGbBrgOTq+6CEsg8HhPrh5YO/3g9Ih76hS8J0fF078DjK9fPfDSnDzC23H1kNWvEUDnV69Q5JRV+IpyfAjubk98Ow5o7/RoG3DEgbDQ4WkFn7wfYNNvooPxXrn+fm/TWVQmjBRAS2HKssQk779SkYenxwiYCgcUv8adda6buY+ujg7v4yPx+D33HR2W6wrNe/VjUt7D4021+49oppe+gnmN70WWQyqfsC77PYK/cjJt9uD0aBIauM4PKR7dqz6ok6MrXfDEAW7ghMrHV9AlZLEQAjg48a4PHXl8eJ1mHHno87965eQqMYf3X8UL45rXj65cPyrzKts0Pj3mCzaAtmFc8PTo8PTq7adUAxwdnBwdnE5dgQ9d+fiANk6Pr5yyneMrJ9xK9HF9fZr0FU7mhHVJ9EKHFX/oeNe8cnJ85fTqFciTOthTvw6HnCopp0cOPuE0jg5OrtIYWVu5ekjz148OTrlTR4enRzZPu45vysEpjR3fjibgpE7+OpHvPzg5Pjw5uv3Uzdx+chV8cEIRVzg4PbpSckAk/ZyaJODwlO0fH7bpJcitltxk/aqlYeSXOX5FsyzG9WJc8dskv58twJsVf2Ox3PD3CpBrfiNsWeZ6P9cOGNcwy3G9TH5fXC1Gwlb8Sw4kFZaYuQIXvy7tAAePAJh1eddE4kWWOeP1YkQqLCmyWoyWZZET7l98R/4thd9lrZfE8NcMFv5ieH3JjdHqirI0vMQkhe0YuNpch79UaFm6wmrhsPWyNfVr0SW/zroyHSLE+FgWdUQLAjb+Vd7b2UzrQl6iGi50rpaW9TLXjrEuZnQby1x53dHeS+gSwpZpZomZ7GJt4OIru0ZrwCJr3XG9GFfLXJtpPBa/WS/G9bJi8C7J2qwujZbFuPKdYkfnnN6KzV7awFTZkS3AWBZ4iUHOV5c4EMpuVsuquWRF+LS5bw2wuHKu0Ky4P8KsF3hLDMzgXS9cbUWYyVwvXXO9dKuQgBXpmPD75VoQk5TCdSEmx/ViXC9ddr1M/lJh7XjM3s7Gm71Enxv/Q9mlc+vFxlu+lKvFxmuhL3FQG1xmlpAWTML8XC1GeID1pSnsjBUXG0hiVkvKEjOumrzkIyoMkwWIzLNlOtjVaBiMjFMDdL6AROgkVzYT12rRelwtLOtFri/VfgGLce3lrAGTLFjaza/oYUGp8/PFBszfTNNqFdmAVwsOH5mKr6m25M5SCnKrF+PKJ0kRVsw15nL0Kgtr/uZvvcwLgVxkkSPNm18ALGsXT+vFuKZCmY7ZT/52ao2GIRe9zDUCWOSqZE0KrS7GFYnLrp/rBTJaX8q1TyONSbzEEeUKsFB1slmRuyR3s74ET8q4upRrmMW4tvRmxxV4CU43sw84Xy1HwpCV+bGCR16oc/MbbuJ631lTGP2YZ6FcszrCphDAcjxf5mY/0ZM0j25xTK6NWTHPF+N6H8m1C6KduKbC1lxPYDTYZ0XL2tt05IZuqYAs4XkS0p1DLsf1ErN6XgCozDY35U30ykdnL6VWBC8K0xuNoRejYxaQDj5foHMNT+QyV8tcE4bwd3j8PStgf9x6x3NnjQ5YEklXLZvVYtw+kDC5oisiiVkYr5cjAS2F6RkZV0vazvVyLKn+L400v94fz5eshXfcLPBWDCTVlmDLajme75+vXWE835Jrr0sWAWi842pBumW1SMqul7lael3rxbhajOtF1nsxrgCIvblGG+dqabxGcw6tfSz1d5zFeOlFcixrSpG1rH0tWALZdOU1vJ9Dt9H/WMFfoBosuziRI6ufOcx4vTxfLccuWDqpsF5skNWSfbkOgJjVwnjtOsQgmLlabnCtl5TKdTW5XiR/Dz1h302HrZf8tW6izROGLOHJQsyfO9KAdIcRv7S5WrIEMQ5e08BiPF+OfQL0M3mdyy6QjX+w7jt+tdhUANgdrpajzQUaEwHgcln49WJcL7zl8+XGHS6THlbgpf/G2rnLXC0qZeGUNfwy6YRge7cH7luwoEOnr5fWq0USYEziYjRe5BpZGttcjnhXS8KQkQqr5WgheJGk410vRj6FDJZpjek9git3keeLJGYFv/Cu15fG1ZI9IqNJCu77ZNbLEVkt4QmzrJcOIAZZk9vm0mGvmFP+AAAQAElEQVQURFYLSo3ny16L4OQv2teY+06nzzWdOHGz4qfGpdEprn++oqXtXV53Qes0vmTt3OW4otQirQFLwEhiy3qR68VoWfrWrJdsobyEeVFcG1ejyAJ+XPtJrg/YJRhv6WW6ggOm4PVys1qyLjXRLY4pcnTBBd/HAAmeyP05eLNyKS/XLn+es33I5chC7V0vKn6RK/gFy5V5iU8tZMPP0CnSKRt/BC1ccE3knsFquVmZSQD10StcC1qi1MhXi4dsnq/3titeGqeYugUEr12BRYmvQ1uOq0WuF+P5wuSa+EsjMeulE+FXCyLBhHFKYBrYnC0wCUvC1otxV1acKkJN3+LkGVg3gOHmopckIums/XFN8JJqeW5NfRgWqhVhJq/N9T46V7Xcyi4iSSy5NNbH/vnZ4vyhS7RnAEZWC/Y1rpbUdOdrEhesYkwRPhO8l/baRWSJ+yTGxWlsvfBaBhwO2N6xydUyEbBv1tJhLIGcL3Oz700VHvt4zztgketF9ou5ZTbnl3K9NI9rBhUDOU4MAchi9Eciejn9rhUR/k8KfYWsVcM4NPmU/g8RM/EEV4n/m8dm/F82Ti6825QKKgVZswDp/5oRAERb/F82ygAqlNZddiKLmbBcHC8CEyJeQpdEBDjALIKWR3EGrpyAjAgpwko9AtP/sekgApDIYgiJCmCVBlgmQyEFQwQSjxYxPiL4WcI1o7UIaOn4ToGhEhoBJEdKD5RCDGqbko+MNA6KoCBWdTvkQWQwh9mpAdrHRJxOHuIK9hoSrSGTxsIw6TLMw8CZikgCWK7ElR2ZtWj9zweIg7FEuE85v0yhZUWIJ8k6NJmBGQo0ElsApvhUJAMzJpc8XJw55F1YA2YhMdhBRsRgIAK8U3lwnkzsBbIOKnEPQlWpFMOuKEZo6lhzRbgsJxAiuPauNMYERBiHmCzqAAXeaonlpDJbx4znIlumj7TD0I6kZHm5MVVtOmS74OkbKRBTk/TpXduEVwSnEVOW6N+iiCEVLkIP6f+MHBMvzaPDT4XslWNYVx4hPZKkdCMfmJRVDbwZDBsZwqUIWhV9zieD4Z5Fb8TLYSzKacAgYHSIxGig6hBs2ZYFpwItM8yRPL8w4SGJCcVkLSKVdJGgmAwOqnpIeXhdI5yWIFBE+jAzaT6kSec2bO7ZLrxiAaQjG/jh3IbhbpkeRYn6BHMaXkWsomkJXC0BU7IFEiYGIhcXzWTXiWko7BSluMAOISsirMVkqV3MnVBq9kocixghjiiGQFgraZL4IcewZMj3pUh/bgQFg0SH9d6DErU2AG/9721GOBqrOq4QIXAHkCXJGB0FfFM1gHmCFdxgywDSIO0RhoToDzPAeCKoD6Ya2hKwoojFMQrZJI6uMIjnFkhufgLbtu1lX7jkbiWIGyW2JmEz1jSiZrSXEJHJotVq0kEBhQeWHFa4gRiYYsfcYjjn8iYPkDFOBSNomlvgWRoEHWycuRnX4BJE4kAkMnyPhqlhipvxxkNDONIYr6jRXkomZN1BhTQg4SGPjDAZMg8RDE1MhEjutkoneoigAh68BTJqsBEBJFyShgBUA5o7xJ1UoCaUJFJCgjXJBG4JhTzQu2KKy7tjckwlGlDTWGAWRQCINy4BEJbuZbUdcxhec7trVTX/cLejLp63Ih1MJBw6FCG1DAB6C8xa189/1GBd1mrBi4BVPRuHUwCzVKvCdFgtGqoB5vSHOlwoEgmyFWmtZCWTcxswLUEgzqwyqYjQZBrchDGjvNRBoh9jhTzQtMEThVFYEdxKa4CZCGsVg3YDcoo88OEFoVsaowkijHMGb10542bQMAighWOsBynRPJCYVMDFPTAWPFZQiInEFjDxpUVLJCKTKdGGJHgY+eI0vEcFwwCOVbYfYtwT1WCRjCAKzZyKDk7VoCysxQQNJgEhlExyUKGwmUTecMIm28WenDjC+NYwwWelN0gqdK48EkWrxYBb4Ai25uIcKApAWDcYILmOExuoEoNzSK4Sse0QdYJLYY2SRwKihh9LPAg8DUuBANoLtmQ1gC6vbhr9GuK10CHBFKkgM/VhGM1DBkOJiSgITAV/SPK58THIpvw0mDZPCJEIRkS4YQkzVGPIESvYMc5g5irHrGJnNMkiAGg0klw7wttkl3uADRrzFADPbZYmj5Yhxeq6cfQSN3I3WHNAAzRCxK62KVZhtfRPpyEYGNG9cIicA0EsnwkZHgpIqmQlCjMY2g48QDQC2HWFwkxpVgETw7ocCCbawdOxsFzXn7QzSfAXYKakI1IUo5/rzMmLWdvh1LalEuxIkiSTNljWopsG7gjRUIqP2MSbYq/MwVUSdEmqphUxixYAaWw/qzCxOEBpRaPNhPwHV++0dHTm/yG9E+tcF5+WDroqr8+B9SyUZFmxpjzST/PoeGLdWLWmjGGsEKezRYfuXKzRlhMbkccWwM4Q/Czmotg5BkpTjGpkZsQUU8SFmlZnSfyc/k4kWQihaMSAa2cVyHEcI8hk75SwjrBZgTZnQDA44sLLBwOMpUh+INC0QkFP6Wp21dW5rU3UgSvSYtsXSZ6k8Pdf9YiIBugp3YSv3Vy8uxL4tg0EdcncmoSVlQZjn6qJCBMSJ6geRCBgu288tKiauKQYM+tjgM2oh+OzKwsvwQgu+AbiHQuOnaLQggyvbmD7333RFwtQodIcz3KQMFIohjFjFG35lsgjCIgCqFQkU0QxEruJKJzcUnyjBFkMvepikHaxi6KDJcgAd7icSEHVaGCP6zN75xlePwigSTT2tAq1sOkhHQ4032ui3RUcDcwagEQNAAeKN7iHTCVFWmExoUuIiPQhUZZmkrZqwklfaNayi4K1ORiLfKYRQaVg2EulDoSz2CAU2JowABppgEYIQGYARjBbwEjjTsTclT5YM9UfzYOJ72AAZgkb8QzjTXK56Y38f76yWw2FX3PuPHH+3XY6c5nBBbsVirNQBHaIexc8bxThZoWoQmXXb1M3DRowEx68FeAkyfHy/+uocH5SEMeOTFlmiGAtI98st2wcIrG7tDenn3e4vfEI/KKvmilmwWTqRw2AuyVJatQR1RtE1CASwZQPPEvbapDbddssneTBR7XQuhLUXkkXN1EeU31DXJVWuNWut5mI2C3lAHrLcoa3XxuyHXzIJ/2US956cmZpl7OavnHXWDe2l7XWDY2xvtPT+Qasl7xVnuRouhlxcgipmoM7b5AcV3cYBHa8emSNxq0hALNuEAyRjMfSpJE08F0kgv63Ytqr0kPw5LOcGTcIU6dBJBl8bNpB1yFMSEyDSDSnFYGDStCWiPBEXBIwYSxIn4K6iDx6s0ZOj3CwVaRbEJGhNCkGIQhANRHTYNJ2yAfJpvERQ5FUZ08LBffObv8kzaC2rMmEJBIdFQGjcGaEtc26okZBjotc27NJeuMvpSsAlQQEq6eBgqbrsaylMlOCD+II2wo/tILWcDGh2Rvawl49UYFyI7ePGy2KUq1cniPU4siq7BUixxADl/BHr9haRILSewTPAtd4Bm0+XEeN4o229SjIizZilrQf050QR/+ZmOZrjzRmITgUHExyWkn3BFAqEi49cEK1cFhEsjlviWD7mdr5pTVh7QTQCoLZONOlxGpQSJnjZnoI5J8PiZbbl/rlmYPpnXzKcQPTrVOTIASAAMoZgNkEzySgzVoCSEWCI0c+wVg32DzfqMrLeQR2ZjDGOskkZMSyUJ8JjVAIjEZmc2YgjYNZBjWjwKybiYPVxRflWteeIultqGoxm/gk4sVwLhNtuoKDfaoZMR0auYROuVEnRjUAIqm1yKN6uKa9pLsgtIgY5dfdvgpzQNSQByYTNgABtMy4vRI9TB+aObJNbhxrhIKjVBVG+wEg0ehh11y2PYQhPis/LdvEjCqVOQLonVgW4gHG9C3Fpg46M+0OFESYISWZu9RE2t5epuoAIcCuIKfrYQMvXAfMoEnfXz1ylrYjvYsy/KS5J0ohRVntYsoisGikAQGNMRFM9C6DiTTTXkxkVPUWPpBgs0i6Ack8kSaLAUgm1SP5GOLs6542g1UbIbJvR9N9Ao0pHyzlMFbm5Ju+WbOuQhGBI2LSUQMXAsRVUm041mESOq3kQRgioXgvkmk3F1OMsHt6VmwGCsGbwIj6eQBhgfQkAaKew4ipASprZxCwY13AG/g+Q58bASzmUsmXGIsUihSDFOTiSE1Oxz4vmu5V5PcJE6/gS5JDqSBqaRq8lni3iSEFldN3gz7EoAK6CxrwmhAzV5Ji4OObe5dF+2DJZH2EXLyYCEsgmgatTYgpiMsEdMBswiCY6FnmmGbaO9QRUYJvXukO2eGQGsLf0qCZ9hw5sMEBwISmQq1MgIIjzIzAY4xrV2JnwGOhkQatMW+S3VYb7wbAIM0AWLyxOM5MNGc6VzZwm/TmDjnqCjZFLqygsvvnFoSC3859KJE5P7ERIUYQDhqinreAkVXwr39+hiP8DLuypOAU5THwt+qep8uLyidJo+AIV1AqatAIZIUOirEAAYjmgjwSxJeLLObwcO/1mBNb9yY0qEbAGFCNW2XEEhF1W6WIaRnVwKzZyemVbEGSgmDwKYQJsGSVbo1dIObUMmXNWVILTUluDkIzaM6gKogxddurXCxBXnaWdUc/std3nzoIfnYaQpHrW0NuSG4Any5GtyHI3XUxufXoCnSivKmyrKgbzJ0CCO5NquLhETDOHEI8Kz7gZBvwdKPwH74QQYXAnE8O4iZAIAQ6Sowq6FNqMDMAqqORCVAJQyISmUjxbYHPY4qycUkEgcXwg8KiUrAVnxuuiMAMONbno8BF3BsNqG7iDIIxeXXzmFyaSyWMKOCVfalvh1dnLbHQ5E3MCO25shiR9RaCELeEY2QjVcQFJyAvRW6qKlNCNboygeqA8oLZC9UiSBElIy5qqkaTwBmAWwjm+QfjQjDBs8DM+OEAL2KextM9FXYbVQeQBUxzVV+dQYcQCv60ZGCHBsm2d6QN+5d8uynix1oe5LeEAw3Dn1FKItIBDh5HtH2ZAARsnzQDVTAvRfFR+mGKZ/gihQS310Hp9YDTRkB9swCZNM5T6GAgDAIwD+qF0ytuGbFLe7hYBF0yKGylvJnG7KRcF+qihGNFAAKJRua4oB9aoCBbstZccGAdvLQV6beeMPWoig1LR7hpYIRBhHWbERMukzYGwK7QEtIMz4HFRrqNWhcryEMiVc2gCYOnQ3TUeDiApjIaFzIDMIILASDj2M9I1efIcZSEF+ZGNo92EzQWEWTRBppAtLH9PqhyRndIcHkvHi8cMK0bgLsIwPtjKsGLACXaA0osG4IJ7kdNrVQj2ygNUXMAZulVMBsQwCOECQgHegPyZ4doA56wCDvAuwKPNBPssx4MZpjm670TLhgkqsbkakP2bqFU1nxWUtnlju0gHagaAAQGC4BGAAjgJiGsBR4wxYBKmkRPPIjd146AFTIfvkGwl3B7eBGgtVnm6S6TFRwHU/qe4GgTMr9E7QAAEABJREFU3dLMri4ewvFgELoFbKmbA4CkMAABz3oXgG+WcH4lovzR2aeN0UUApNBvEshHAQYaAbTAFyCSFDQC0RrQggsA2YBjwFSgfDGpDN0wKO2Nw22z+qWDsEAiRn1htGiqhSWpNUuLO4iwEwpj8MNj+lC28W+/SK86ZLY4PPxAc4J+AKQI+WNx+454JlTbL8GsbCFc84hCppJcDLarPbOhcPGEQ4LM8OgfP4ENKxGyhRq7Cy+rYPgDlY+d8A0N6tJbSHYpQ2MSYiuNRf3RXgBSdyedqMQs4Hl7CBPGBFUdZj/kzdh42JXKIXhuQjFGJMJGPQVL0Do65LbAopbqw40AKvUS6K6/C+QOSUSoQCypE7BRF1mz3JjrYFwVZfylQCjatdXVV6CLj9JbX8dOZedeYoSPkbsSDGL5IRUDRzEOnAvHES4SYZ2hYChSZGU5efKRqVwEBVgBM0RlW6RgKsfAulH8XlMLMrdOkjEpLzP+/qukN3N1JSZPV2EikILOT0V5ZSNEd1zVG7ySuAhoQMYQk+mVgJYgIxON2JYGGIxZ5IJYkoE0aa9L/d6vhNkx2g6bgTH6qaCji0XN+t1xhwRQhV/2DZzi2RdngoDQzbMHTKTNGbTZGnIWM+Gt0RuCiYF0ACbi3uQdgS8WynkpEZDcRbdMmKhjkSZtt2+oPCrIjGJgU2w4qhB8hEwllXMIO8ujHgQ0YAlO6sIVceEiInZGm2gE+iaNiVzwwb6jey5US8TIre6w8F8qbRRYIoxEhK1EMxKkaqT/KbgQri5bFordIYAxN8lOQcHdZ2oDoAj+YqBJm3WlKMViF1EQPP8pZq5QMIZqXIwGNB8YCM9SzJ1EBRMfeOiCMOqYVMh0BI6osQsao8lB40cjbaIRyNYAXK1hZgy4ENYJL10MAAGiEXcyH6lEqElth2vOudMZTj4WRRzgrIGNS3xo8XRFyH+1E1B1koBZFEM4ntOIGBQhBkU4OnTUgEGA6JYtprfs3zO5S+2aNenGOVj7IliZG0NfNpmDFRHQLDYnrzn2m1CILRYaxx1vcZnBKFhqezJD9hPFJ2Fyle+R1NTrdok20S07GVWELSWh3cQcwss7ebuV1rjpeKfCDbC8xXSxgqXm+oAidhRZo/+CgU8EDlTskc3JLQkXgVm4mVr95uodVpGTi24h0btkM6GAnCWdAWPp+Nm1C8jVnBgEK8K6SN9St0efxLlgtake7Kspbwc/LLqlMVpdzMhhNatvgDH33U8JdUAmbkhv40ZNEAQ6Yi6d9SompPzDF4DgRcwJq+aoVwtd1g1qlwznsUj0cBwn4IkLno2IfeHFQMRPCrZUJy4vhuESDWGIKaf7KECFxtZdRxJA21Ep9m6JixTCdoVIYjoUHty6eUwEpk1AzJ/g06YiFHMMrYMrGPJCqm1MtxF1jIQhRLYL3bIl8RCMAKq7pLbFNqEuRizHYw1Zk+MNdi7ncJR+camzFTefMRWJACSXIqzJjmhQ8biw0Ai+FpgCEVtUJopmEMCXEDrCQ2U0MgM9rJC306UibnaSOUt/+oZuCLohkUVwbk8+CnTAXKTN1hwYa7ermJAQkSgPyrELM/Irw7sc8odViheRu4OM9pILtIzUI8vJ0z2DIASfzGfyJgMy+aRzFNiOzBzHMR1GQjnAXkVeiyTBtx/AMo4BiWb9YqdYBali1T/5kKlKRBfJTBJxofkuz2Ab6aC6SJmWLPPhqr3WHAkLUttBrp9ZTdtMe1iPcu4SigD0JHg7AhuAWYBa7J9IiAYwSY2KSfGnEAzxLRAN0GBcaHAL5iww4NZdqTFanCfHliytHhSZpZmt7hiiAfwgcIeTK3liIIvBX2dLERYlDoJFawu+vfBT1hSGNedOTz313BePjT0EtGAgjdVfFdqumqzDIhBBN9Se4hSDX43w3Qg4XxdeJ7VFDYSAEh8IkTD0DqittSc7pwwpwl5th32+bOMAom3cdFF/18EiLjuH17pOqaBkjUHAUERAJyfjiQsxw7QrUSOTTF5kyl44ITkmdEttngCEPfZbaeyEntEIcVQrsasvXqwsX5ult2XLQPnwmShOCRLolt2a6SvgXITHXopEIqFENBfZwkqJOFJVNBjANiaN24grooOArNi9XGizFPByDS80QW00iLiowzomt4vUbIIFqhiHRnB3CQHGQxQnL9naIdmaGHUCPKY7nUQNfJE8sMLSFExlaISayAzAyK63XegWvIDqIAdQNW0zd5aGxCwvfWL5RqRTp0hYvDJTc/mMHuly2zfyVIRovjXmv0NYmb0jU1woGjEhdbzbfqo9764jML3inDuFMSEkcrMACNiB2+ki+8Ym+WTnZjmeJ7MSAqOAU7dpN88U6Zh2YDaARBqjZx5cwu5yu1kITDQL7XB9JxI+ijVSIfnzNaSKDwPBtx8AvXPvcntEdXYEVQIz6eKizZLGUaNx0Q6Eg0FmIC/jA1IP1kCEPzi+5tBUQCMcLZrfWdFfSkieXDzq6XXLnGokf6kJND1N5bWKG+K9JbN1CoSC0dmnaWdZDwOwU+TF0t5Pk+iIQFMnwgAcMQEwfXWFiFBAKIKpxebFtVOfLuBj/sttp7hv1SCwCDNdHBoQQVngJDAgdAlwig/K0i4shHx8vBNAE/KYgY26ogYwecLq9hIT0/Gm/GniAgRE0AMCnAUTsRlhQC6C3TrCJOZWbEZYm/EJ1kx0Kvhjq5YLUPriuwAftgQIHgG1gPEjmGjMCUQ42VRdsEhBxzRAm+S4pYhtvBecYiJMhkJSxIWWJlPuhxoZ/ByrOjBgtER81drGaDu2AXidi3/r8QzlCXZbsEyCay41x5RlhbvFxjaXMG7ezEyYyQ5fSroMGu0YYSFFbBffcapGlr5QBPCgWN/s2WkjggCfaoQB2V6+LjACRCO1rivB3CQ8xs1UGIEOm3A74LAvhLUQdumliUbYHwcQUZ+K3DUHEwOHYBDi312iRqXBeBYfcFXfS/mBFAOMngUz/cLVXCyoZlQ/wZSAmwR2V4r1Ljk5eNoSR8u6vJXiJRyK4WFTuiMrwtJsM85lTzCUEp3gloIAL04MMroejBjeWrnBUIGL/kKESaGIEAMKZkcXxwqTlOmGSAvWvgieAmpyAOtRxibWVpwOxkG+AXuuEBzcpe4BHq9pds0C+OiNeoBtnwRInFElhaDl0UGkRg3hgQ7O1EsCL4RTokhwZXRY+cidpYgRDRPhIECbACqiabY1PEcaLGXKd4fMjnGA3fj93S3k+0aUg+CracrPYbjAOU6/LYOjYjiLIF5WkBK/xNtBLjQswn4iAg0zSwVPVp2pV5hspnRFeJ50LEso6NH1RSksTzIpj5DCm4FNoXzxzLJbELZJL8G6SHEoThyBeATBTQNoBLe16wC7lqtBWpLdhcENF5Fbe9vG1va8dZMrepfHw4uY5WLvaISslglzFqASFqEza66ZKUwKxK4XXA9Dck+TGOyd3cEg86Kd6w3DEow9yW7DYDKsy2lAVUS+EZxz0Tcr++EoXGHAC4FELuwdBI80AdgVyDYvADeyKVYzuNhK1r2D5hZYcwg848RvQygySbvF1MIG8bQGOMHT7mWnL1FdHhyQp7oKt7fsquzu6mqqNQQAPctsApCZp/GkO3ZhhMdd4QWh/XYzlfBjpsmybla4Hi40jMATjd4VmHbtkltcDW0NceDGkMiEPE2XSaohELs1cbA1eLT35w1ieYNbE2wh0RL1Zk1hTL4HVQTM05jJ36qloobjq0puRzM36ukzjxD4yru4fZAI/L9Tqv8pipSW7tuYrsqZ9bcw4Q+1ZNCdohxK44bWtU0DfvpcRBCMgYhG8c66akGYh0QwIGfQ5qQ5K3zVMrPEh4bkHxlJvrjCS0iKi0Z9uCKqsgCIc+uz3KA2EEGGq1UUNM/FAEcZKXpIE4KEcSRJCP96ydcLt8BPW44u8UI7QNFJrG8yMBXTACA2WE81ANhAA03BbcIg7XUD5cVFZWVFDlnmpHieiC/D3gIoCjgsOr0glNp071mmZj0DySQmsq0sr47aCi5Dqge33/+wywpYqoEXMcNUwkaowD/JOCajotQBuTWbRLMoAvhSUiWnIh3T8WikmB0vkGeVZQKkjJE5aotKJt9K96YCZoJRRazAs2Cz1ahkcESgWTG2A4xAQqAbJ9UT5UOH59HGZZA5jjQTMG3Cz5KVMpsEIE22p7Ab6Bi8M8AVW88W0ADCfreOjraGR1SOjHloQg6pC7vmycEqbc6aAARz1mwNU9z+0ZU7JesHgjxqzQKTi71tuWKml5oQm5QjAKOPNN1JWdPZzusGHgQ7Qr6zTNGRwfe5qgNAtmQ2UGVJnrQdHeanN6Yi7SkrGKkQnyLDwOyHiv2m7yxYSUpqGmzCgsWEFs3wcE6fb+yCYNNkbTcKuU3nScHpguRNkawOV5ITJrwji1WMwiR8EIAZK1nR/y1NBJWgtRf8coghGD5fMryfUI2BNLqhrL30UzG0HRHeNY4Ix3NXVAMG4TaL/cn/lQWmPUkvUFijg/sQHGcnlXHQGbSBp3H0f6RDsJ08OGN/TUr6qRQlS3SfKQEQtxuokRa9yghfTpQk1o8aQCTksa2X4lj2UkhkRbWfrLZglTG4LnuPPfqy2B4ZNDayn7RNKbugUmG9c42chNK7GYsVmj5ShMJMizZpPs0kSEkfBlS0qRjH0CD7xaqFEos7KrPTzoLD4EJEVBWI8ErNQEYSHhFOliIs8oi0zojwzF+0yYC6QbDwYga7xgtCV9sk2QLPgmtXarNZ9QjG43hhp9ciy1SEWK4VGI9Ua4a1RrfA4ckVKiUkRVhLAIQc36rYDgnSRsWLYUChdBE7GofD7CLCEhxcoORL1sEoUB1UuiRGjt6cwUR2iuB3CuK3NNMau2oyWxqjEdtc7pFJPIMRLhvRejC79RpPfMTg7ZuRgj/o8FANEEsj5YriSm1LTTtorgxSsNhLnTrQYpO5s6x9ieVqJq+yUDtL4DbBo1xB+neMoJpEhrZjZqbjVnmJiJCMIwDTAyBmYSp61KzdwUflhelIjuWCkBNgEN04HolxxJZng+IEELkGld0BWDxSW3YbDGchwlNdMzbwUXEhroXfJJNsDnFxr7ntkknV6LDWRdCSi/S6D+c7Rg4x3A0oe+vYzvK27NleF3bYt6XnLZsM2Ew+m5hx0DyPMUvBty5+q6AIKj1TW8Ds15ai+Kf0QuBpp4QgkK174+CWNoOPFRqKEJU0DVxIBKRLgZHyTZ1jthTpmAZSMFQjeUbTNhbB0lSNuWOK1CONnEl+NoNZ1cmgWSjxiPkzScAcDNkmugXXlhwAZWp6pTG2QjCQgAatYRBj/4YmAx8iHDeL26kQnPeQ3Ol6oKhQbjsIEvGjGMQRLLHBIfylJCRBiqB0hQYRLivZq62rasIgApOF4G0BI6N/7DYhTASDYGt/s0gYRHIRUXncglrdLhPuZMoqfqzmibfY6ZmLmNiWIo3KkCUAABAASURBVBcTclcgMXf5ZiBbcCHgqhMATGJ4ltAIJuQNkoT5AGmNADbBe4HumGLUuhn0IxQhgXx8W0BKh+0C/E3ugsaEhbhNNOPboRpF+n+rahB2Fe1+Imy62vZT2Nirb3k5TDsjakDU7DDwrsB3EcjGwZO23Rdke3GBEQAykwDM5tGYaAQA36UAMDdJk1MYRgQBEdYApG8fAeDw7QHuPDewJbiY8aHBuwJj4T7XdjqmNWG4djVmSwc07gAYpHFrTAJmjAmmYUgEjIa8EN7o7c68lTLxEoYQjwAQACI/Fb6VEXB+Njo4akAxqz5JwLP0Lm1GHZTtoADCLeXd5Xtj8ORwIJQsgedVQFiQ/pEQgc5QjPw6l8OYeyV8fY1N1OhmkmglMXBAROTtRVxSSXq5S6KyP4qGkYKKjBCasuOwGffGTYwJSZD8HIsSDhgLJC7Wcko5N7EZ4/w81pvhnHTFyBLWtBEMeXeSWGsYwcPAZ1kV4a+lQhrAxDhSw5jE8J6x35BC1f+YUuGRAMQkHWTy9cSKsxGfZHyTp74oVAHkc5opFZOAARci1qcwrSg5KEUq+DNyBcFsylOktXxoAHlkjBudb4Zx3NNm2HALdEnDHiUdwaQwqFAJOMQgjnKTwRJ0QMlB1AdqzHTDea7MHDHFFkTnGMnQZoxNEjOwKAmZOMgdR5/K6Cy2TzXWQTJ58kbSQwQIV/WS7BLJIUb+JAEuO44rub4rRoRwRyTFu5zk/wYE3pIcuD17GfTOFeK5CMYgTi/JQwqzZfqKCMqA7RrYpguzhsmBvmiCZiGpiu4AO7cXpHdnMyjDzAIyYuY4QwwvzalIEWX75FSo08G1JgfA1hIPccGQhEbcRFXQNJpw+kTURCQCRBOBBrfMuAHe4tljzQ9Tu2HbYO+0+TkcE5kDmocBtAYgoUC3wHc8AJlJ5QCeGTCC2QImCwxomXBoAroBQBIvXZAK9cDVAA0mDGmMngXXjA18X3wChXWTtyvgatBeNAI56wYwLbwCAFIQAAJDTJsABLJlxgYxFrndUhmt7G2EriOVCEPEuMGLLcFMPj/j0xMFqa05NwPTPAABIwACAGgEs3GD1jCA2QtGmnw4IAzBi+BFMNG7Zshtw0Oi2wtGMMOfKMyJiYu3rQGUzbB6hCsf5uAwkO05kDJVAD2MZAnuHQEIL7H8Qo+AMnnLqlAlEokU9OMEJqbNSVcjzaMhbwigcmbzuGbQmEgE3BqAzDGQLTMzA8JwzRqACwEgALyzwLQ0j8bEOwMwTJuAC6FzjLw4Dd55DARa3DiLPLpEa+wZ7OJdEh7ZZeblDcJH1oCwm8T8RLmTFG9XcgsnLhJQMfC+Z8kzpaEZ9hKKgX0QdCFervbiXIPgaYgLvxRxYaZXlMeWYyM7/ptzHVlX1CNW0I01aI0L0bYgT2wJTlqq9oDCT+sETUwAZUwD6q7MTMUjgoSIUI2oUfBCkQiN3RqAzBhQAtc1vRYGJLqlKgA5bQSAwDmSiQakCNE2kzuJsJZcMMI46lgcDFsChgTingBTYMG5TsSEbdfGI2B2zwpcznAnoWDBEsXQ2A0QEbU6AIkYVJ/CkAhPQjmrQpBFyM1Cq8gu+3AzYspNbbvaTSjcWWgEojVglqhWZrNLEYbgmnnwzADg0ZAAZAYzxgtGALN3F0MiMMTMgtmCC9nlG+NtgO6AXQYSE5ldYMiWJnfxv53pyEwfckWibvgQn4sXSNykdDwAEwF8SRnK7/I8xzX5PvIdNx9YP/Dn9/z5n9/zkQ9/6iN3fPrDd3zyQx+2vuODd9/xwU/ecQdy9x13IJ/60Ic/9eGP3/cJf6cnd9B5rN/9p3/w9ve88x3In7zzfR96X1xy5RjiwfMvfvbBz3zmi9evP3D//Q+cfgZ58Pr9D15v5voD169/8fpnH/zsqPGuez/2x3f86Z/c8afoD3zsz842ZyxBwbcf/u7vHvzuO//4nffcf289cINc24+zH2/jQVj8gjQq+Z6svPMTd775Xb/1W+9+y9tuf9vbr7z9I5+6c+PfDpTsMsbrX7j/fXce/cmH//RPPvTeozuPPvPAZx5cn91+9fZ3v/cP3vWn73rXe9911713UU8xPLB+8KP33PWhuz9yx90f+dAnP/yhT36IQ7D+BPiOD3M+n/ow3g9/8iN3n3xik2t+BxiDHjenD5z80dEfHhz/4cH7Dw7/7ODP774z6NPNJUN+dQnzjGmR7v3MvR+55yN3furOj3zacuenP1Jy55333Gn+03f++ac+fOenTH7kk3fe85l7+J1KQ1z77Mlv/9HbfusPfus3f/83f/P3fvM9R388skduihS8YoA0AAc3gx4iN8PqC+vPf+ahz93/xc/c/+D91794ev8Xr3/Gd+R+bsr9Xzz9zIOn99vkrt3/wOoL1FCMXzx74MoH/vht3IvD3/mdw9959/veff3z1/1cjnk+np989uS+z9537bP3lb73vs/cc99n7j353H33fva+089d44TX4+o8zt9359X3fuTqez/8vvd9+Oqff/LP+fXpns9ce9vB77KFtx687W2Hv3Pn3R+hzeRpDnqVR80RNUmr8ezT1z/98Wt3f/zk7rvu+/hdJx+/69pdlvvQH/vYtbs+dg3mY81/7N5P3FX8XSd3IR8/+fgnTj5x98ndGx5YZVI9dLZ66PoXTk8fOD35wonlAePTL5zAXP/iKXL/F6+3fO7Bz3z2oc+crR/kHw/v/OSdnMbhn73n8APvufJnV9hs+m9u/WpFTK2K28Mt8EdbKjJ4SKV2BgMz5AdBkCD/uIFG1CM9zeYNZ2LPDRfelmbBDdC0gC5xxV3XjHuV1kQCcCHgmwQS2SUxEVIg2esE+nSDfXHQXhdvWbNJ0oXgfUQhYpfHRHYZcLDDWg78cC8kAk9YA3QLZIOH6xjcuUrh3Y0EI10NF4LJOzIzmAg8AokAdgUGmRmCZymS40IKTh1MJmEsZN1O68kF5BjQs8xhAASe0AasboDN85fTT5AmzRdJ/E1CAAwaAbR0fDPgBu0Cw4AbgAEIW2jSGFRtME8mSAIjTJ0lAetmVPBENoGRxZZJFqLtwDlBh/gqE4AUjAswJwLmRHDFuQEwPFplqUaINxkbj0t5Sh8pQIIn3ILJpBvPthk0XgRwU0CTzeMCwDRAg2EAuwK5a+4G7GJiiHw4A99k69kEEI9uwTtL82ikvWwbkKpbApLPKAoUmfwi2aY5CjF1cmPMBtZkhIOjBmEIAWgkLtZISFFZMzDRF5EImE8oa0+EcufopOLNBqpuEA8FXpudFaGIwMudFRFegiyYlBUXYof4OZAEWsiNKF6KHppMF9iSzJXJJ+PkJREhQzhAJY0JaoAXAU9Cv0aEziHYc0Gw26L/7JkTKECR5G8g0wZBmOhdoSKyy4BhiEQjmMgMwLNQFb4i504gprW2YZH8ePSJ4Goug/DkQrLPYHIQQtGimokgpqB3RLCxozxzFDM0Lm5SwefltHGypiKQurhHRVrRobajbOe6MvFM5aJIzd4I/RHmDUARgAAQQLDZ2gK5MB1uIDVDDKIaAKR59JSbF5FEwbcGEAxGbgK4LApcLW3OYZBgSOsOS7jp0OAx0AgByE1tmyGiZBdDdAoAwYWJNEbTUJtgvAigJeqgZmYC1dUUENEAjTdiMqMGDIJrV/Bg7uoy56IG7YVHdjE3rQty8yeXw4GPLHNu+Dz9CBn4KZWGeM/7/+S5r3jus1/xnOe84tnPLnnmjz/rWa94zrN/4jnPfsVznlXMsx3wbJif+u9eGcvgGz+/cd3/hft/5DU/8qKfftELS37ml36G37WoqiHf/Z4/eMMv/czrf/ENr3/TG277pTfc9otvuO1Nr7/tja977b943W3/4rbX/vxtr/25237xX7/pCw9+/hf+1Zue8dJn/uDLnvHMH3vWT7zhJ++65+O/d/vv/dhtP/7Dr3rxD7/6R2991Y9cOb6S/msjF2Z7241ilmz4V5jk2/+Ym9v/9OCV/+yVL3vDy3/0tS/54Vf/yK++5VcfeOgBXGyY0D/8kz984U+98Adf+owffOkPvfCnbn3P8R9/8uSThD3nJ9j7c5/ziuf/m7f+m+T3osgP3/XhH3vDjz+3ts+WEWKe85PPLXnec37yeZjPRf/k817zc//0+ufuH/aGWEQsh+M73/+8V77gOT/1vOf85HOe/ZPP/YX/5U3B57oiEBTdT8ImgjeTb/+/8mu/8qJX3frC17zwha96EfKCV73oBa+69QWvesHzf/qFJS947k+/4HmvfP5zf+p5z/2J5/78v/p5/i1Lg44/fPzy237sZa97+ctf/2PI//Qb/+psdUZRUdUSPLDTUjVxsz7yiTv/2b/873/ml3/29b/ys69H//LPvP6Xf+Z1v/yG1//yz7zhV36meMDPGv/Kz/7OH/4OnXMY957c88//x3/+4te++Edue/GPvPbFP/Xfv/JDd31oM2ZuNvddv++f/cv/4TVvfO1r3vhPX215zat/oeSNr3n1G1/zmjf+01/41Tfde3rfA6sHn/nyZ//Qy5/xgz/2zGf8+LNu+/nX0v97P/i+F9/20he/zvKyN/zYb7/rrT7DOqJgDFxshV1U96G77737tW+87dZX3/qi17zo1lf/8K2v+uEXoV99662vufXWV9/6okkgb30h+DUvetFr4DF/+EWvQW590Wtu/ZHXvPjks6eiMFX34k8+8N7X/sJt//SNr33tm1732je9/rW/8DrLL77utjfddtubXnfbL77+NvAvvv51PLe/9Po3/NLPvPPgnevN+T//H3/uGS97xg+97FnPfNmznvWy57zz4B0jT+YeVX321Stqi/nQbdl+QiW/D+NEiAouZJpAk2wJOoVpDbhJ4DMTjcwuMCRmAeYW3gBHtoEubzfBM+jP1VDAI7iQLoKJNIZE2oRBwDANwAAkeOyYcltc1GX1kFTBrKV5wEy4wi9MOVgSaVXshub1sNGJHdl6DpldZmoVQJOAWS763cbgotQcCWiBb5lMWmxbdLtj6GJ0JPqCknbNLSYdqQ5KaWfw8YVFS+gSIpkdl9mYs7W5rTYt0Skmc/JSqknyW+zlQUgKcbNwJoyndAoxYDQCQPA2RiNtfikQ8yPhr7dTQYIVVlRDjG68otyzq3ueF7ox9t9qBV5f7E+u2RhrF1x0xRLzomJsPfBY6DoSchEInzkkCI00QFOkxWR1D4lAopEGeJE2w+1NBZtsnkgEBo0Amp81AGkegBCGboFvE9DMTbq9kDMgEoHZfm4ZwhCAYFjXyRhIuLQd0LHFzEMZqOBnCTYy58wAclemciTJpQlDIBHJjEF54bkfaHkUZeBDrNmK4G2AH2uorXkRD6kuzINRm95mOYb4FgyWE8OIqWXeMsAMuZ62F7lbOM3FUMImmHg0BgAB7AoM0t0ZXPi6Qi+Kx9LGHBIdUjYYb1QhhamoYVQXPSCGNz6vkAj8rsZsqRouNwP4GYc9vh2t1lGKAAAQAElEQVRRA9dWcETIAuNp8LlPx8tdoFe8fL2dKZUdHqoB8uwqwAAzdZMzaBK9K3jlcK8BTwpi4E4n0mby0eU4d4btrm54hKas6jDLq6qrcFaEdccEG5mrEBShUI8Io3jYwEsuNJobAiAFDA9ukLV0M2gEFxovAI1gdmIILsyEOS5jmQXgYxWxi50+MVs6oGPQTaLBuwLTQvwuIKZNAIKX44IBIw3Qk4RbmnBNjinSYMtAUAerNaCFGAQSgUEjDdAPF7yztLfNxpRqsKung6o4eGb0JNzo6aawxeTjzxVCbElCxec+/9lP3PepT9x3993XPvmpa5/69Omn7z29597r99x3HX3vfdfvvff+e+8pfM/pPdfuv/a5Bz//a2//jf/17b/26+9482pc83WzZcNXSe4Uv9lEfPDP73jLu972m+/67be8+61veddb3/Lu3/6tdyHgt/zWu97yFuT33/ru97x7M44PnZ89uHnobFw/NK7QY/pfeM81nut8o82IuCyPvWhZjJ749YpXg+X4pntJ/I53aX9vcflSDqSPo8aNxofWZ+cbioxjnmdyrR/anD14/mDJQ+fjesNvDNqcs0SMbOE8N+nieXb20D2nn/7U6afRbJxdIxwLGA3/6dN7PnX6qU+dfOrTJ/d88ezBd//JH7zp37zpF/6XN771D9621vkq18jZZrXanLnN7pPOLSwwcP7BrzJ8+VDed/+1j336rrssH/vYpz8O/tinP8YvnB+/5+6P3/MJy713f+LeT3zi3k/efd8n7zm9l7eB+8mvK1k913822WfW1UNUF0rTCAlRfOyTd/3qb/+b/+13/tdf/91f+423//qb3/mbv/F7b279G78H/s03v/Mtb37Hm3/9Hb+B/PGf/XHSHucozpMbMPpGaOTERv/UZMX8/ENfYOPvuPJ773jP76Pffvj7Jb/3uwfv+N2Dt7/t9rf/4Xv/6LOf/+z5+fkDZw88sLJ8/uwLD64fytG3dUM1bbjFm6Ri+gbTKc1HyOJfUv3YckV8cfXgnXd/9AMf+yDyQfRHP/DBj37gAx/94Ac+escHPvrBD5bc0fpjd9xx14eQD33iw+g77rrjDpiPfugDd36Q56EqRwzx0U9/7K1/+Nu//Ye//dY/eOtb/+Atb/2D337ru3ks3/pb73rLb/7+b/FPhW/mTN755l9/56//2jt/49fe8evv++BVhc7H87NcrfKhVazWcX4+bigFz1mJR1Ee6QEIrpbEZzJ7j0DzKUwwopvGReoNjpsiI6a4iAkQHXGBMVuCJ4ZjbKOagQn6hmEKLpCll4gIG3VFjYI8xzQtiDYfDlLZJHUA6GI6kZpOn3Ptra6IgcREz2KTEiXG1XaDOQZnY0ALJgA9CynhllHdhjUkMsdEAOvHEPNWIsxuLWfNuAEVZoHpXQCQ5iNcofFMAiLMx3bMAbhuEHfkEyNwlyd+15zxTWHwMC1gzgD9iLlNEqkQGrlg6thJRJqcAWEzBrR0zKwBu8eym4KLlGYASDMAS5QKT1EDew4owgoGwXWT4NsyrtD4ESMfkZzjaZ6AFsjMMVyPm4L4kYjtm5U1iNmK49pLEUDzAALBAHRjgE1nqBTEJPAt2A1IadAaHgaNwLRuAG7BRB6OYTp31wvZYld1017MGRDAptA3C68zUlntGjDrEfJ5meLLgafp7Aqq6zZmmZvAlzKJJBHpADQM+iZpMhRCIkMR9ZOFrtQj5t7G6tYsWVRGY5BiHSEFw4nbDH+CY3MYldnx2o7ZbNC6nZn+7xkkat5wFKqRmSzUUoRjAPBopICbKAAxSchJGPAIrWFj8pRaCz9ZyeKZqege8FiIREDsBh3+DzY8NwlqcWKhm8BslnNSkMhcoXGbYNXJ04j7UtBcp+GKCDAAjUQNwE0yB8w8gY1n0OasnRJjKMTyHAQToYHJaamHYyRzfAfCoMXtZzGWhMvxwbGm75Sk4I8LbAz1yKPjZx/mjCmLYKJbwB2ARjDh0S3NNIZHZqZx6w5A2xvMFlyeJEhEMphJ1QgfDtwkHVYeq9mc3JmwYDQCIAANngEm0gx6V4jZNcFE7pKYkMgu4CklBoFvwTsLDC7MBuhZmmyzGjck2BN3sKjZhOQmb83AbNktUow/Uwwq3UAOTr48i38LGvmGqz4k0/hCEfIvAoOBJBPBkBQhj4jlpeXp567/7C/+t/w7wxv/519Yj2vzXFWKWaOfS6rzvRw59zdrvpWuN/7d5vw8z8/H8/P0t21+L3K8RO3MceQreI6bzehRb4F6+JXMJGiwnWPwrtje8HEQ93/hM7cf3f72P37nm9/1Zv6x4pxfneSCkj73xc/7N6Lrn7rns/euNmsaTHuCwZzJ7lEE1kcZdYEpWAKGuITsXdqL2Av+VSiGgc/oUBiEMAYP0Hmev+PgnT/3r3/+5371X7yTf+jQxSeYV3A5UVAx8RGqMVIjhq3Fsoa9ywiOxq1VN+IXGx8BE7+fuFZFVhHUQPdkJ+s6BUbyEsEQAzKnO0IMvz2hJ0lK2s3NsogSExMaMOTS9KA0cNWQW/ZZcCbDIDolSEHfFtHrWCC9pkKkUkoXA2oUThhXxiQma1BGXKaC1T27zGDSsTTRjYjjoXYEIeVQjfDgRAdOdtiThr1Lw97eXgxBVeLh0RJhQwTV3K08MsWv2eixFgDsSJ2Sb15ICM2TrA01uR00DhfsebsNedCVPVwtcCTVI0a4LdJzVNTAnsQPCbn05ryJrMpgYtFfSkho1xb0Qs2VduECpdhpzVbbFPdj+0tfcw+AzkIjnTGTmJCYAASQ7Ba0I5AIBC8SunFuR5vwCBhpgJ6lydkk9SZmctVJ4G2zY9AzU/yNp9MUT0GBVh2PRpqZNdVaYABoZA6DAQen67vuhTAJmIWALQb6bVVFQxKJmK0LhhmN7HZHDFKk6++CxngRcluaRCNfiiEeIWAWImcMaG9rTIQAzNaYuwKPicYLQIMbsFcwDCYA/XDBi7QXjRADg3644EWKn05DIjY0j5j44NNFFzxZxHXULgDvugjg8CEBrQEIMWhkl8Rsmb2zSViTrYu/aKZMK7wtSt2UAj8zDn2kixgEDxrZBWDSWzeYAyBnvOuCx0QACKDDwDRnSbhpF3wSSyET/KjgzHZ8kvlOnjWRqtGAjAZwxIDRYAB6liZnswEkYS0wrB/8KOpPWLek7UgDHojkp4LDMZlmLQf7naQgpLAt8mA7kitzJUZoO7CA2F2K3F0AhiGgZRfvMs2jiYdvPYPm0TBIAzRCJKLtxw1A0+iOcM47ItyCnwmND50jkZ65EFzN94c1DNJMa8xdIR5z1wWDiYaf9Ajk9CJHfuAZ9+UwnvQywDVbkYWAZr3rbb5djdEPl06pMCBvf2+TBqbbVy6bAIQgF7FzimxmVzugL77YZD1OZXYMEKoxOqYy0LX3io8aUMytOWdWRzBbcCFgyBYwAonAhKJN9CzwM25AMNL4Ji98C18OAMS0nsPanHnALFsXJ2UOEyERjY1GAM2AAZgPl5knBiGg9U1gJuGRzprJqKOAv2C2b2gzxCNBHFd9wYqdAFzktuTFPeU2+sFoHt0pAPF1tSYYZj5L0G4h9kgftBf+OROsNgzgGGLY094l8evFpUuxWOwt92Kxx68c4i+nvEoQGsOlxYLUL64efODsiw+ePei10175vQ60UKP8+9J4nslvTmh6vxDVICfkklipkF8uCm1cEGpH8Ck8VLdxz6H8c8hI5N6wd/t7b7/11T/y/J9+wUtve9nb/+jt5+M5oemYfOfBO3/gBf/l9/6T//QHnv9fve/P/nSz2dAEu6F2nQZWKgbMltFEjvxbS8blvf3Li1suD4+65dLly8P+5T305f1Lt+wPi73h0l6o0/h0Vmi9WT+0eggBYFrUI8BUtTF9kovMDEWEe6x7xINdAXy65f6l5S37lx+1vHwLsthfDGyXjW7kyDH55yWJ+OSXAudw+QOLbciPBJGjcCEOEuEbb2iz4fdYDCUJYmWKcNilizItfn+oufzSmLkZ+dFUgcHYRkbQ1V4MMQyxx22v0FG5ISFI7gSXMkpK9LoSTkkRzL6kcnAzwmSIQ03WhU5vJcTdCmJGezQNn+dYR6igiyGGvdgb4tIg+kEuDX5uF5eGSzzGlwJ9CbwXQ0gRGiLCc2g76JKa6CImfpqKQtHZEHsA2VFnTgI/JDSOmxxHCtjhAC52hPYtYxu0SjZexGxEgQyGqpzmkRWZwoUke2cV2RTDJ8l0IRlVyucFNHYfW/IiTlXBfjEigrsWEeCWiAvcDJpSswYgEVMYE14kAojH9SNuwLH97LJbFwHwqoZJByCAJsGAFrBlOknd1DC2qgh6KxkcXhudVZpqxWVp3w6WA6Pt2jnS2cTVQhgCRrfMGOB4XexLO/3gQmDQCMDC3dR0my5IuYIql5rJ7/xZG+EFGImajtSu9BYAxJaQ6A2bSfAUSQ4MApjLAlrgG8zeNltDEtACww2EKRCQ4NYApHl0CwxeBDAzAMwW8OwFYF7I1LsJgpk6AI1gIg3ai0ZgOKTYyd0Ni7jRgW9XcuudgZJTDfZc50ws9TEByIwBmp4Z4v044W2ZgzEzffMyEzK8VIM6RlkTE2FHxKQJRsRDkq5MACYCmGSIdGpmxURMiXgjYuTjvfI6ZVd3QDNgAPEN0AgMuqVd6JYmOwAGs3WDxmj3BFVCezVbDT5VAJ0TFe4YC4mYcIRBhHcGj/RinBI47FRsRzFNJRwmAkDq5k33o0w8u8LZRPKJnENoL1w9SJFHAfzGXF05HYJlSRQ1kQuSYrCTUKGRIwtRBJmCSESK915yeoAgHDO7bKcrwCCYaE4DDW7BBLRuvnUzuNoEIJAIoO/ChC/sgX+88nqq/sPN2ClRxFJAsqnt2Cni08ZEcBKPboGZzRvB7luB58Z1qwFys4BL+fGhQUQZYwz+vOOukUkYer4dmMQXI3XVqEk1whVAKQBqqmOmDhwQTstOiu2Al9xzATXda7WWC3JRljBHEeNpew3Vc0iIPMgjWNNKEvFQolB10rhNXA2abA0DPwtkC4x21rBJaEkHAAFopEHr2WzQZKdvtWJbmRjEMeHvQLEdkOyAl1giFBEeadKOF8MbZ2qpAEe2t0x7AIgRNyo5p4sYkyyTN9ehQqcAphhdxEAi8B0DwAQj4BZwk+hmZo1rxgDMFjCyizE7HV29iy+GEgc18j12GIgd/vL/+d9/8t970tO+6du+/XFP+47Hf/t3fsu3f/vjn/7tj3s6GP3Nf/fxA99mfWwD277l8i08ueEziCHCNEdc2+fj0ltMob/s8pc99iu/9qsf/djHfPlXXbp0iTaQkEh59C2P/pqv/JrHfsVjv+LLvnJUZZKAuyQiar5Q1FNx0xY0DgrWLp4v+OO5zjf8rImRDca2GfIxzzVudH6uzXn9X3KHkVyLXBbmVxBqkgIHM/Kt2ez4l772L/6nT/tP/uF3/4Pv/56W//wftRPJBQAAEABJREFUfNd/9p991/f959/+fd/9pO/+9/7iX8qRP+IinV9jKEu6eoCQxsoQnbLpiDprBf2J/svPz8zBh8XFutJiWPz9p37vj/43t976j2994T96wQv+yxc85RufstxbkkU8VVkOEFykSMEfNDVBIery4UOlrCk1egGOmDNwr/zCJo+0GobhKx716K941Fd8xS3W+8t9ZZWzk+o59q9eMZHT0hF7e3vk7sXelz/qy/76f/h//xtf9/Vf/3X/j7/5dV//N/9vf/Ov/4d//dGPenRMFeS+QvyxYCgKDMEZ8ABhRnQs2m1nRhTTnUQOAya7cD+pJKzlL3z11z7h//0tT3/c057+uKc//Vue9vRv+bbveMK3ffsTn/5d3/qd3/2k7/ieJ33n9z7pO//+k777e570Xd/zpO/+3id/z99/yvd+z1O+96u+4quCMbCKLi8vP+bLH4N85Zd95Vd++WN4FLsyKzW4vH+LvV/+GAIe82VfecvlR0k0U/4YRl6e1Hg+5nlqE2EXZUMenHoDZaaJ3SvSsexlCuFNlBl47Yw2U7iysVh6QDFxfgV8mycQDKLlKag54iMSSdpRzinFQ0/Lbzt0bpeaNaXArQGWuRPYkm36tFNMaEfWBYYpOKlm0C0T+7CJrBQtWYHdc04NO9ZtpGbCJrT3yeR4joyT36aEQ3tBa2I8RQBklxjOYiozwq4Ia3OcFtUa7egphR633qjRPBprDgfPTOPZ1SBCiNK3OJoqHWErahSRpZscwXhkC3ghJstqEBUBRoq2AsPTlY2+lJDAcBfMTDCAFjCf8enbUcRuLphcBIATMOuZMRnZPKTNOlsw5K60C43ATwGVi9mCK0Bh5aJgKQLTFimI5nFj7kxPwF4SEe+xyeCdyTatqZZ8okL6Aylj8FEQQzAaUXvTq2MSj66zoiyNEYgO8SfCxo1XhEmyoNFI1ADAWPzzzfMgOy54c6aybh8+iFkTBm4N2HXtYgIQmF3ZZToXL2QLeBZOZcacAwFtDu5JvJk+LMlH0w7r2doeWa/Rmp8/5Dpse1EUmYqkD2vyuA4XjFMrBk8Gy7oyLoQGtql8WIme+mIRJ5YBlsojRsKTCAKgC8/kBCAnb3AGWBd7xEBYjI5ceZqoNDpliveTl4XtB8wFbLt/V2gShgA0NdC7Ao/A4GoABiCA3pMxxVyL02BRDmSoeDCHBXTDnmpdhfvEbKFOxMRE3ABwIR1G+Qh7L5jJgYflWcu6vF7ON9pGNiA1OB9/svEpXnWcnrxcpIk2kznDjYsU9oBEEEm1DF44mg/nXFzQNshkwpcRaKQBpPzlybmyp4gumxllUdxz4PeNtplJQVRh56bcHqQjfQFHB/RFQRFhYWvNESEGBpXR4AZgBAxjyVKs6LkqNSgdEczEo5EIm7sAjEQ8Mt+uiMmLuSMsDB903fVbazoWAiGIQZQmAbXn/rTCkiJC08C2cEGkv5U2xPKmMutAUICYEk3iZILMiayEG1REYEcNgLaRRdhVBazwMqERAAGAG7QcD9nSLgpiEt/SGI0007rDStMuzpKGo/7WX/ubr3zhK3/i+a94xfNe8ePPffnLn/PSlz37JS991ktf+owXv+xZL/lPnv69e8GfgRW5HvMVX8nfvT5qccuXL7/slsVl/moEPgZ6S4mnEMCkx//dxz37Hz7z+T/w3P/m+/5/f+X/8ldwieNSPOqWL/u2xz31mf/FM37oH/zQ933H9/mrqsNxKqzEREGeXN00eL328ITv5yBWGoYRHaEg0vtk4nbThsF8YePk16oQsTTBjcQJxz9J4KwUz9Px4Piqr/jqb/qGb/rWb3zik7/5W5/8uCc9+fFPesoTkCc/9QlPBvyVv/x/5R3nMeGRGpPCG3q6xL8Hao++KD1LiHPhx4086rTDqC63DjALyQEOMfBr1d/6a1//zX/7mx//t7/pCX/ncU/6u0/8W//R31pe8v9tx0zvm0jAhuXdbPZOgDQwTg1Rc0ww7Ci/0hBsGl17ZEZCwa+7z/qBZz7r+5/5rP/iGc/6/mc87hu+Gb5CAsBRhcLAuV66cSiGYdhTROgvfvVf/OH//62vfPZPvPI5P/FTz/2Jn3rOK17ygz/6V/+Dv1pFHF7BMezFntUwsEN+U9OALU4qgoDgHNiGZcqDCbIj5A+uUQBMO2kjgFx/4bF/4fHf+Lhve+JTnvzEJz35CU968hOf/JRvfeq3fetTn2r9lKc+8clP/danfNu3PuVpT3rq02Ce+G1Pe8JTn/6tT3vMo78q+PUt90Lx//r6b3jBP37+C//rF77gv37B8//x8//J9/+TvdijeAv/Dvb0xz+NgOf/o+c997963rN/4NlP/I+fOGqU6MkPTI5j+g8njSl3x0FxQ8TwZrBASESgs1wRpCMQrQugyEdcxhOE2KsvJkdyHyEpQukJuOA2WAYmCmjkJ2ll8RZRIJlgnEdXfnYclrbJcXfeAibe0qVYCW/BrYJquM1tS4oatMeshw345gDII8fsrp0UVNC1yXS8d5RYpCNu3wZVIcWOTMqKK9g6FAGOg2Ab3LgCQCkiNI+ccESBXTMrcpsS4QCu2I6uwaGEonFr/CyGbhPsRkQQnYlhhqnZAhRhHWSoSmlSfjOglEEeOYXt8dPgkAuivMGJ3QjKqkiVbttpdTqAqHoAnx4x2CzHegC75JpyNBd+0VV7MRwZNXTjYB0INAIgpNYHioezJiu8iFFd4FkczwpbXiGKTHd18uHuvuXzEEdIdJHApDdM70q4gBmoCRe6QU1eON4UFwEh0UnyFAz/DUtiZUo8U5yEEYHYrFW5joVRNJgq4yLAYfY97OqNRzhnDtolo0bnNQ9u0Bp/M2gEEo2E6FLttRmBbomwqzE64sKFicR2gOeC4KYBLXbVmbcpPtxnRCgu1T2YN4bXOazOxAlGTAwToTByx6GQJI8Z2NhexFXJG50RF3YEOCpIPMkRmJJvHVri3jQxL1QtlW9yFL5Z0XVRFzG9RAQMghONABQ1hBVc8mnwZhvaK3qgkcyoAUVA1y9iUpC4MGbdYGLYW7oFzDmXgBbIBtbpRgAzSSMUryzg9IziLcYmAIEhC2nQDLjBBW80ZbUXYpYQXMxmA1NwNFYoOQ0KiLn8KZxGHNqWJJDtbpfGjxCCRoj3XcR+mJDnAHhy0TdI2iKCeet1MIwdVKUxO/ALskV8cYsKMzdUpOT1CU2ARYyQ+we08HHgO47B4aMjCGC2zEyEyYiAhYwaYAtc1lwki2EAfXKgrcCbFIuTgLNyaiOSQjhD20EwEKoB+AZJRzdDjDQn7gKCJA0E0LBDAnOW2YhGEZ4jrAlyCr3RpraHw22WooZkoClWuwN/m7tgqlYVZi8BLc2gMdE3CbmPcAg7S89ZhCG76eRimkxvRu7YmTBj5vlq3JxtNg+N519crx84Xz+AXq+/uFo/tH7goS/+y3/9K07n+SEr9Zf/vX//sY9+7I/+0A+/5Id+5B/+f7//UlyiiCgr2R+cEn/jF1/3l7+Ofyt78n/85Cf+vSd+9WO+xj55PGr/lv/nf/S3v/UbnvCkv/OEb/z6v7dZ848tPg666RrWGI69uAYFD7WYhuA7u4YQu/X/FIdv8mVgKy4SCoWCDDR7Hs83mQEdhAUznHLkB6ZxRFMw3uunT+795//Tz73s9S9/yW0ve8lrX/qS217+kte+/GW3WX76v33VHx/9KV+7EUpsNLLE0x7/bc//R8953j96Lr9G7lHfJecr5qEI8QdtZ3cTQLYcOMQV2sj3YrUeV+ccjtuuw40I1eAtDf7KQKp8a9Jp2l/+2eLou6GE8DeTzBiVCsYQHEZVaPXYr/xq/rXn2/8/3/60b3z6dzzuO/7OX/vb1TmrJAEkIPLnA6UgthIKQ56G3Mu9r/7yx3zto7/max792Mc++msA/6fHfO0t+5c7UQRWqGeWDgxfEj/qMt1n9hAdumMRCSPsdA+YYNLsB2HbsPWRuz7yup9/w8tv+/Efu+0Vr3jtT/z4a1/x8tf8+Mte/fKXvuplL32V9Ute9ZKXvOplL37lS1/80y958U//6I++6iUvf82Pna0foobcRfyVv/QffMcTvvO7nvCd3/3E7/yeJ3wXdzBqTdaJiEt7e9/8Dd/0XU/4ru96/Hd+z7dY/42/+jeSf8LCTXtjchdS0x4gun2cU/9Q22owCI2jCUAKsMPp2YMpIYS5NeBCgo631cDyD1Z6DN08gkA4+yIMZGJCYm65aDYY8phnG32FtmTb6OCyhEHEpCMM4IOnhW2BdgQSmYnGdQIzZ0AJxIjrAin4U0wloix9GDyCirAzPIThOTiemsMBxapGRDCzdAv4JoG/YGzUOuEBb4IpXIQZidhiVtrZOJERW5fcljoADpFHBAipJWQDNjhAJgSaJwweBgyzlYgBIhQTUZVJRNJvhgAKoVumsO3UJB0qJqqZyfC0dRj7IoAJjQBYHa05X9OYvJkNYAEIwDJXrYYzdeGy2xcMYsTrw14qhVYhg5uaXTkkS1aFUAR2hueQVFd4SPIUZiiiabQ5GTdOOZsRDpvNAngRQ3wRIf9RRJiSdfQoXOTNCv/N1NbGhdAnmk9qNNJOyAatm0e3QF6AWrrjIXFZOHAO0+jmi8h+ZnAQjwloDWhpEy8CRu/yMNQ2GbJu344ejFmkj661qSmaHKSIh6nIyRWkIaQohpAQ8V4AjNQDSAxC9IanRYKJAqDoJ4pGIsBYdM4jNIaGiiFRIlBD+W0SYYZ6bJHPTJLJsBkMxYiGoJZEZpXVNMid3tMiMJndszcQg19hCMVgLQVD2wFGtpZn0m9izNY1ucIlICaTnroz7K1cePnhxY9gbAWqtkp5Pm+AxVQuFN6oGDBlWpuMQMMgwa4qHgxZ4YJEMFtnmKE6/2hfzKAhkCQ35L+/gN3TNNLBEFXVWAokOHBFKFQjFB59gO49i55VzMiNRf+sJWbs2+jizqr7Wl6H+UYr5MLyja4a5QURgAMgadbpv+8Pp9AJk2IA4K4NMiPB2GNp2W87KR4BUtQwqqusSRVh9cjrZgZfs/GVkONQrqhd9QOQ2P87af8Bd9tVlfvjz7P2Kem9N0IvUoSAlNCJgFIUiAjSBRESQi+hJKG30JEiUkQRC3gBFUEBwUYRxEJHkRpSKQFSznnfvcb/+8y59n73e86J935+/5mxxnzGM8Ycc8y55lp77/NevG2BzSQw9srVtgI6cXTLJADMRSAbQQAi8cWTed1L5+41IEDOU1memSBKcGva3HLuZP5bpQlcNcEwSC8AANNldWS8raKA7gZVoxaLZSxcd+6i4fFCApBdACZeBNC9gElK8AgmugsYAS/1chQ73E4ePcUVpfF1fJzzHZ8fDqX1udZqnI81jpePO17/zjd89kufG2teYRJw8i1P3nfffW51i1uefPOTb3i9n2OK6k2UIbL1d3utj+POcX19vra2fvmVl8PjQ2+dbdl72z61xsYPWhuno3Orad0AABAASURBVJAxzS8ZsdMpLfWpfas1/7gtD/JM3jJwpj1Yg485/JjbnnTbO97i9ne65R2uc+K1Z8NMi3aDa17v1+56v1+/+6/96p1/5egjj3E7BDgB6NI41pyZMZnFkjE4wIMu33H5V7/1tc9/7fOf/yryb//21X/796/9+79/7T/+47/+80vf+PKPfvoj4tVaVY7YdU+8zsknnXy7X7jdta9+7RKZmk8ioT2ZplGwnAFmJsWRSzTylIr9RVhnE8ljk0WQZZZAHBokB+bSyHhWU/OSIIqLGPDI5w6dycVeRas1a+Adt7PGtfVxbZyvjyZENBKgxf7aUIMyC0orbQjHe7M0MmEx08yCdOrjEqsjD6K0qrzgMoYfkrWONa9xDFcUK6KNymzYlSZa1qAiU8rHEHGS3NqOtZ0X/+ji8y+54IJLLkCff/H5F1xy3vmXfP/7F3//exee990Lv/udC7/7rQu+/a3zv/mt73/rW+d/+5vf/9Z3z/82g/sPdXKQNdXPWft8XJv/9Kc/ZXKJEFfZmu27z35rO9fnbM688j9baz+0KFRKjNJS6ig2HxXMBd01yyWhWwvJ1WTythwLHAebqEYygjuDmE9rMyHbOAXm5DfGvLrxiCu1MlBSMhCrYqykOAwJjHiI5hq48VyyIlIKLZQYklcm/fRQgpgYAXSZkoQaYcYx5y4WY+mycaTFwDklgQ6ia156fKbWKsDuggeyWKGL6VhFWewEZGQo03rlbhPBDFOqPlacTALCsWaiieuiGIsr2TZfeJYEozGpFhE3clFtTKZdmD0eciO4UTAIEI0AumwOc4nCJN45LHXmFE7JvCXQ1Y6+lCFc9mDYGbSt3kJI9mS7tT5d12oNmh6NALoQMJltdSwoJhXhiJH7G5gjQd8HRWcy9/sekwt3F3CSKCXBqLXdQWKYSAlTa2EaQIG7gBEwmiQdgLtgUqaohl1Rzu/ikMTDBdfOQzVgvI3MYTRbm8GikTnCQ9z3IetVP9fNm/gKScUljyZpKf+hxPQJaJHxToAuwpsEsoCZIrHACDcx3W4HieSd7xqzSzfRmKRCg7usYqrCRIjp3q5hOlhqApClCcAkrGvMpXQSvjMdoOEnJvsAnJaHqyq7BIUMYDo2qqqWY8KsXLiwuhcMQKuGaBw1pTZ9NhOKOTuCmm6AmCPCpg6hqgeQowOl8a1DozWTbJ4n3jI4kz+d0nLu00t2kisN4N6SmckhW3mQUrvNTJsZyaPe+sKZPiaPNF0xffLjcgusxfcfnKvSR6EReGYBdMFcCgyupQnAhATsIvCdidey2kPTay5xpLVoPTJhzduPFCZ81z0QE7DUHRAg3gzGE8nY9GxQ6MB8u8kO9OWH4Rrb/OM0jAeVmaEXOdnutsNtw7lX8JmICGnk+weg4KbhWJslvuL7FGMoqHj0Wa8H7kgxqsXmvRsSg5Doot9DQnJMXrouNYz8g71r5D9GiQPC4mog+SJHQa7c6OIUMJYziG5CHT1zsyYFg2DgXWoAAg/JvOgukAg8ugt85qfzxkLs4GWYHdOO7qN20UQi3AApMWyjuVfFgliSKUBpuDy0AHaC4GKB1WLi3bgMCV3Eb5CriORIZ5agm9GLcSmJ+ZkpLBsOUWLAsrYF3/oEdLDUxHbcAeO7CdiF6SZeXGjtUgMrknpMD+haNIqhQnP4R0gCaxy7tNoNXtf6jvwfRt/xxW9/+Vkve+Z7P/SeHWtXEkygx+Eax13jWte41qOe8uhHPPU3H/qURzz3VS/Ysb6DxMjAVaQZxqrIOI7zkWeMb7OXX34ZDvzIltnWvffai7uR33YDN4fv3etsh5QEonC1WFIBlsJ6uEduNqugdB4W3qnzusWNb/Gqs17xphe84c0veuOv3/P+27Zsa0GkG25/0u2e9sgnP/3hTz7tNx57rROuacvNR+48cnzbR9gM9qTIHh88XBEBOck0irFFo9bmxsyAXP7DP//DXz/9Aac++tTXv+MNpbxMQrd15NVh2dZA3QDRMtkQNjNI1tTWx/Wvfefr//nNL3zxu1/50nlf+eJ5X/nmhd9Zny8SVp+7FUclKaMNDWa7i91sXez8PqiRSbkFFMLmOiuV7UxGKpKxVBECZcVLlKbGRgw1DFN8pqJgKXFSlljrrSMLztHDOAy2CTD+LsYCZS5OxHwc52Px46+VmbIK50I4EX0zJoKkLCOvrSryeKIzHRDXSBrQNMhEIbzSmGKsGln/yL8fsAU1TUNxQ9LwXqBUxLSZB5syf/DjH/awSvjI5/AB+x5YzCzu2kCxVSyaKekJQTN3q07z4q0zlQHZhe1Dgom2DTKZqtASJt5BrVWxKBWcAlgClbSZ6IlgFgaZgIlkKDQ1mUQ8Qj2MsQ7dkgAM3TKDucfsSO5wvOwVvtD9Inuf3vxKoxopjNIASFC7avpAtFskP1zdmrQxRExBLVV4WDtmfJ5qc9uEiY9v4+pkpeYyM6EWZWJNcf1Dsyer1sGkqjwjlSGkacOak1HY6FXZxDgDN7y7mM1BRZTdYJYC6OYyDyYYjasLGOkYvfRyaOERGIQaWQQkMdyvTM5a8lQO4nTgxqHcN8IoQ5xBbbSNbdngdq2Qubgb0ZtjYCggnBnCQ+CYTIODe8Suspvg3GgCnMh2EbacN7iHeQroDIF2GEx7E5AGTjgZiUFso3sYumP0LsJJawybkt6eRolbPZIsJm+W+BRukQoe6TTbAF12GDsa270pOxC4AIxZ9QZrYOEBxInhCFGKpWC82JjEABCw2pkEcH9hJlduMZbgJybWVGGDwR3srleH4MVEAEgHpAUjmAigS8doApBOrupO9gB4AAKJYKIRwKpYbmbXgWajihsj2iAOteVIThjpEBzIEpgDh7EYgwum30cZq0lGxyAWm71uz0OGLYKhkX6DuZ3BKgCjqAaNlFPcKLIzPjOWXMo0eCUNarjlVBoj0qmFiQCj1IYwEJF6cNfarSW0hdUiFTMvbq8zYXuqs5IiVrs3XCRHuguzg84szVUSjHcpmAgmmvguYBhE2ZNqAG4SYjoDmKhsGlaKpOve7sKcgMUHE094W2NbmNiskvlPXGV0iVY13Ur8mJMmut8C7BaWfmSuPgWngFjM6XbY5ERBMlIctqBagBhcnpp6r6kuPGHoWvISlkhIYVYaDOugHslLUiTRopmQ/FOZhD9B2GAxLCF8E0lXZtCg4tUnOeLKHrVgbbRWRoZ3apqoReFaSveu6u6CAfRRAEykA0gEE90F3IWAzgAW71nBYBLgYYkXd4EFsD6lY8XERPrOF7UiIfZ0kSs0mZEgxmdIIAwS9L9exFBbDwEDMBFAlwXZLdmIJ4OtXUzXmR4MtjdiMLssvR30e4ru5jJmMkmwkgSSSPEwBG3siT1+56Lv/tf3/+cL3/rKP/77p/7or//0aS972mnPOf2f/u2fd45rxBHOO2v/vfd94K8+8MrL1774jS996Vtf+dp3vnb+D85vCTMtYbzCiCy+1uUkKe+TsdbW13522c8SQTHSbJht37qXrP/87y986NN/+5HPfOx7F59HEpsEyt6jjN9aaSuLELnj4eOKIzz3fGetXb6+4/K1yy+74qc//dn6Or8BGK6ts2377rWv5t45n1+5tnPH+s51CqMovqqOPAPkd7HzSMI5PVjUAL8EqQnbHvbats++e+23X5P9994f2W/vA/bf+4D9tu+7bbZ1Ll2pnVfUlfxSlTJCknvj+LJ3YBjxZs3h7WfOJkbWRlub73z7e97xhBc+6YznP+Fxzzvj9LPP+KMPvHsHv3WpjqgWGjWy8mkgtcZj5iCr48BuUhjcEpZcpdEaM6THN7/gRBHSYBGCkqzWWtX84ugm2yJODR4TQBx3i4G2Z/YWaWaFpEoeuRaMraR1A6ViyxkOuGLnFd+96Ls/vPSHai61RliGUYREhYS5JcwLqTESU6o3ArZt2XrgvgcevN/BB+9/6CEHHHYocuDhhx10+OEHHBYNOOiIww8+4gjAwYcfATjkiCMOOWJwvsJqEMLeICPJRw2z2fcvOr8nn7TrgH3366WMI6eFOecj3+amw5eokr7+rf/++L98/O8+94lvnPcNUXCVbc4wKhEkr4IHw0YbpeYtkKnEI2YkhOS24iKmHU5MbTSb8VQi7lyxBupTQrFriiKAjbJckUba5t5RiGQtGwEdLwGpJHslRlNrUxZGA+m57F0j7TDE2AE9xp4wJi60HcaOxoTsYlumCEOKXlkBBAUSoEalCIkVNgugRWNUdyq7ipsFM7IDcV8IXASYYMwuE2YKRJpMewKS7A2sq24MtxNpR/dAO9iO7syG5g6Lk174XJwxDOWuEkHxzQrkLrOQqfacFkiWhWZGNAJAAMgqMDu1tPF1aak6jW4y4iEYjYlGurkKwF1wIWA0AlgKJoJJHtYG6AIJA66agwO4tW0Z3YQB9BgwAAF0WWDqpHp2J//s0FxG18ZT2bxEwbJpaKSBGokso2AWYm+24UmAVm667RxBiqw+MD7baq0qZoMoAsJ30g6GRTqzAZrHbh13tiUhposdfnoFMKYJLno0+4lQGYLZSbSdUasATABixwXoYse0o4lxa7jASAeNMxiBxOwAvBRIMHzAlCy7AQPPpoUPynHmPqdsUTV0E7U97ZoxCHgpKyZjoRmOLOapFAebB6SSNJg5p63MpsJgITFIx+hoLo3jGJ4CxkK1JFPmNoqPcviMixdqKY1mHohkKG6T1Y8a1CRmJEJGJkOyXFyLf7oQ46ssi1ZkZDEsp5kwTAlpMWoa2x5gTJwwaJJHL6+q7oVIQJETmAx0YegWsjSdKTZYkG0mByBeNHAXiA66Jk9nAF0wM7HlFhHNlY83Vlew7RlUB2BuiDF4Jik4e1b4SCUabrRwi5I8kDtJbMwuBMeDwVDuIDmItvk1Q1AJ1S4CNIFSGg4A8yQhKbTw2riQeFUAbXhbPdxtGLfbgW8pDMgdyTHocRlLGAGsUcQrIYwVabnb1EpIcQ6IAhGIs+goa9ILGjPCIhkVRL6M4sLqGsBA8FI6g+7S+Y6JRMBdA5iKAAAC6DwawUTEPVLmVZ5lkCQj5TFeFqXWiqXyDxusRSy8qDl01sVSA1cvRpokUAlgLgTDZlhGdxNmEuyVHYD0SsNcypKWJkivlQa7Ym1AZjChdhagog9Dp1RIz+FCF36nMbIHxGgXTBubPmPawGn32IJpWTXO6qVvfNnZrz37Geee+cxXPvuNf/zGz3zxX65Yu7wSSqJh8Gzfrfvc7Xa/eLub33ZtjV9fLVnPltypUqIc0VxDNoayWtTOtR3Tb61m8iV+5hnvu/d++M9f9OYXv/adr/vaN7/OKCpHK5mMUm9ON9jpm9IiLf8Ug8+Dxf3htafaOV+/7IrLxjFnAHb7tm377L0vMV/55tfe8b53vvXP3/4Pn/vHHes7eDTwUkueDzaBCMptydsDJWpDCMCjFnDYQYfd7+73Of3Bjz39Nx57+oNOO/2+sNnpAAAQAElEQVRBj33cg047A/mN0x/yqw8+4tAjWJSmZsk2BJsWoUJEVjTVDg6IMk2cUG00JmUpc/EHGYSv9uOYckrmtZU7mV2q4qk2+yCKK0luQmKbvXCj4GArPtGcMUkAXooLptQ1sDmw6LMA04A4apEGTHhMfMNlOy//h8///Uc+89GPfvojH/v0xz7y6Y9+7NN/d+EPLmwpnTFE2aL2qgwVrb574Xdf9qaX/+XH/oqlYSP48rkH2pD2MmyJ8DKaNCIjKJ2vfeK1H/PgRz/t0U95+qOf/PTffvIzfvvJZ/72U9DP+O2nnvmYpz3zMU+PPPbpz3rsmc9+7JnPOu3MZ59+5tNPe+q2LVu4+xpV41hMyW4CqobZ8O3vfnNRoWgzz/bbd//8vYo/W9W8ahwZwYVvIaXx7z750bNffQ7y1x//62FmPEWF7DVaRc2mJW9xq/AupAKy/fSMKrwZgaUMwAMbRKqg5kgUgFssmRHktVqrtsV5IhjZGMmTjygOUbdLad1RvcPdAb4OEsIqSjBIzJYr3gZg2t2hn2QKw2IgWpXsE2YGEIypaWMgHJ4mEi4OiWIxhW219aGbyAOMlq09p2FqY2ZMpBLZJrfZKBjRi2wbkdpobFeCqbcIQ1QZsgywN0y3tnR1ADeB1rVNC2qgT1nLGBxL3EBLblmqFUXYJG15+E0OVSMHdjCxLG5iGt1UtrQNwQpmOxfmkgnIcslICcZM56QDT1IVB0YxKZIBWC1fzBXQ6KgiR3ou5s5AkOwpE4bNLBWqkqCVzz4lWniabY5Bx05jFKHcvQaieCBat+TIBTHN0qZdDKyJFCBRXDAI8ZuECjZsE7ZhZazkHD8GugH1ZsN0GN2T2JvIOBaXHVdTofo0XrZw0z4PshFUI90aMCQ8qAqOvusJVFLCLCvpGI1MMXQrsoyEIwYBdBKAiQB2kSUJ6MEU1mPMBpn7h6QYyCF3OPeQyImCxUAvxTbYjg7QBMBNrLg2hkO6tVUKovNoBBPpAQAYZAl6AfEaOvW1Lopt7N4Yu14sjAGkcStJZCB4KYSHafkgY9I1YQx9BuANIoEJ6NIImGZRgcDxwjNQrXVAfiwwAiCOmAABNx1eeGLQag2ACexaSn7RPIGeGYJINNKBnYCOIfco3GXyLTOYxxOjWsdw3G1RfflkcNuEBvgGZBr50RjKI174RcYWJwkXuaIFheRRYQhx6i0GFq52jwrQHbvobFHLQ4bJxTBGN4NRiKg381AEvujWNaqPbcFkIBAhAgIQIRWCTRYci3T5Hqde1UYUgcmcKwNyLfMvAUE4lia4M2rDwJOrmXiRiWH6vu1QDcMjDIEAoOUUGNCupcte8GznShK3Aawg+9iHtDoqS/OIo5F4zYzB1T6tCVqpLzs3mTaBibMDYBE7GLYKi7HAyGQ2Mvb/7Up8EkxxMSfYKmh53Br0Ru2gYp29hqZZD+cPsrIq/AwiIqPa/iRzc4WRGGNxlq3W8GQY78JBa+P8i1//4n99578v+vGFO8cdfNf3IFlJKA380Nq2zz3ufI+H3e/h+2/fv9ZHtdUXflkSYZWtDpDE5PgzO07r8isuv+LKK7Ro9uBh2Lm+vjYn0Xzkm28WsnDTWyTsU5AnhC04MQdAHjAMaldlSTCD1tZ3/iz/jxXjLWvr1q17bdtrXvrSN778zvf94R+8/w8+9flP7tyxU0Uy0RheXCKT2HqxmXyZrva1Ok8Gcepty5YtRx5+xAnHHH/cMccdf/Rxxx913HFHH3fskcceddiR/Kh674f+z6f/49Pzce6kqtwIlTVQlAezWC5EfS40cVZMcDoCB8uSTJOxLSut3FuvxSGrueyORV9CewAB1NdCx33A04CUaI1QSmuWWLB6tWKsbTqTZ2bxL0TkQQDWaksUtmVf/JMfvOGP3nTu216BvOxtr3j5W1/x+j984/9891tsATeF1DZLIXijDIzLr7zis1/4/LfO+zbYNrpJ0QBNQ/YhaDItzHzNJCTys8t/9t/f/K8vfe2LX/rql774lS9+IfKFL3wZ8IX//PJ//udXkC984Sv/+cWvfuFLX/tSly8Q/LUvk5Fnv/jXSxaHHimzZltnX//mf7MVSZ3L++6z7z777BNYMiUwRrxJqK5CLq65xnXN17W+tr4mUSeXuZRmTcigBeaGkiFEdomAPit0j6p2iwZRXTztUZvWjQeKYXF2f+ohVxP320t22KyKVESCWmabqNhTF7h6mVqWtmmxvWCWYEFs6uPNpAsyNUjk6KRltYa5QWZXGwulLBHvJDyNGVHQlM+iE1esp7LsQscdcnExsEEnHoOQZqOAEAEkoJsktBYMJcTmmrzpGIXERdck7MqFC6trhgbQQSkLjqneMhiULsUDmwSzC1n7tB4i2tqLBCWewha3VFB5MRFC5V7QDGKuLmodntYnBICJAIjsAAxAOgifWIgkYJoI5RkWCRmfAuwwWjTGIhIkojRPTdw5fE3Cc/PomskrP8su9VBotZvNnIwCE9sCUSwXujS1Nq6mgXE3fgmatZty4ndjJ2KlBhjyF92mhCHgKKrpzWoZSZ4lXgJIBBNhHCtpOicveJGZnjCkewlGwEgHqy5wJ/FuiA2GN2cqqbE2Vg0Ze+UislsddA2zBEsAuZQl2UFPy31maxZzijq4v30In0pFkHOWWaPEba4wWmk9F8QESLCaD8ckYw8g4S6g+5ck5i6YIZAIH9gdR1ORRypKyfikkFKYnLp2ZSklj3yWaWrVqmMGwDSEgQgUIYClBiAbjKd4SAYv+Q604m03seB7TuIRzC5LEgCDxot03M2Ou166bGBmpmNR0blG08RScSGhuOAQANIBGsFcCmZEdoSNkQbjJZcUMEtn8UXT2KbxY6pEj2SBcUkQYnQZnYtOMr4StKEqn4psS2yO0FCmEZIXBkFEKCuQum5O+EihpM4nnLvpFh+DFKZNXqKGGjy0T/wy/7aFXxJfhNjWKRF2hFFIEFefQloygAESsUOT1JPXwwLEFezWOJzapVW8qxxVEBvGUVwwiPjso2sV0sPvLvAIwxEAAV0vwZKHaTKgO8nOAzCzUczFfBhD7gI9K4qGdMrqaY0pQWB2DBCtuJo04NaaTXAMwpDOAKCCK17AZIKuQhYBZj8XOKGrOLamhNIGaIeNQHME6ETjKPPnI6kvgZcCp6aaUZAlwjClAPbLktojENIOno2albJpvCr5p+/1ea3zg6FqHb9tjsZMW7bWlhMPP/G5Tzjn8Q8948j9j5iN3nf73tu1bS/vtZe3b9GWga0vwkXjtUWpo2QJWhKL/cGlP5z377aNHmvkj0v5f4/VTjMxVM74LjETVg0I6KgBb1loDbEZ0oEd0/F75/raTy77ac2U78+i9K1bt20Za46XFTahNITdSjItmk0WDD5lNc4psMVmZyBTyQU/uPB3/+gtz3rlc57zqnOe86qzn/3qs5/1qrOe9eqzznr9Oc9/0wvf8p7fY403vvYNr3v8dY486IgtHiiH3TOnU6nZAx0gT67wYeMbyGz2Z4u3biv2edimrVuazDRDtmhABgbxd5fyLJonP888yzf5ZLVGMm/gQUNiWKHMGpil3JpkSRMEKK2Zw2DlPxRc7gujuJNqNxFceIiUWi9gAefj/Ec//fEll/7g4p/88JJLf3jxjy/+4U8uWZvvaCPxD9kAC5NoNKhLOXfB6uV1LrqmF0X/QtlGpBh+xLLiZg5D4qzvXvC9D3zsL//0Q+/5kw/9WdPvffcH/+zdf/1n7/7gn777r/7kXX/5x3/0F+9+11/80Ts/8K53vv9dv/++P3jH//nD33/vH3zha19gTvGLmps80or0VTV6/Mp/faXiS3pmunLnlT+49JJKgfntHZbaEG0EaaPhyGgWjDvr2nAtUbEb9ownjeOlBHHeyoPYTZkweqQkArmDsuwBJXEbeN5xYiEDqPg84INoChgYpTS8Ts9FFrRkRosltS3MyAZgwokCFmMpi3U0Rx8S2O5UgAhDHGzWkuK14h2GuMiPELOhXTLxnYOezE2vMskz2dYgkcap3bKxrPzHM92sELYlWLVmNwvtaoSGmVoxk0kuu8fEz7ytQ4Wk6/uQ9WEsVlRFzaaFcyJta+GV4yUGIQBtG2BHA0TEYn6waYM82PgdR1ngdr6ayR1sDMEEWmPJ2tQwEdihCkfJ7mvxgJl3Wrp2UQ89mhBA1wAEEt0FjIBXA7oJg7AIzEhb+DRvs/HamdRUMQuVy+XUGMiuurcszRwuWAgNiSjc2E1SQwnWcmTI0XZuGza9JXPU1ZqZgQyGjG1vAHvCcZCfvK3ivooGC7p7SQ8gRBwtZSEoBMY2Q2wTsAFyPhgeDpKOSHl0a5j0Sw3YRXjPE5Ah5CiBCYhuk4BXBR5hSCfBHaDBSAfJBloRmKUXGrNrAAJelR655DHBSAdEAtBIB7iWGIB0BoAU9yVrgYsoGFq8yDgmQYsrgYR0k9RLWZJL15JpgJTtpLe7xChIBEA8AA0GIEvcAbqTAN766B4ZPVIemQuyx0CqeLsJgFQ+qphyKCIJAiaWITEIUCUyhnYF1aISo00NBllS07xs1TRFhrUNDSCyB6zGQ3azg65XmY7RjLU8AU59sYDJVE37KR6vwkGcJZKhtdpIsjRxdwy5xDAZUxkMzsKxzbNV85ZZLK3wNCnjBFX2ueISA8mXCGrECpK4WTaxuR1K40EFM97cDgY0LgENSAVmqHky443JEJKbgMqtxKsajdfMVALgikzBtfSK2JIrThfhkRgrV5GY9xFikMQ3NFbVccoxjTnMkLGqpQIqw6aqYi6ulYgFlZEL3PokbIBgBBOB6LgDdBdc8F3AnewaE77jVd35hattWaXUfHHpCyg2zlNd7bYWBjuJllB8INn04lhBlNNitOFkxlZv7t2uehkAQHBHm40sMEIS9FVJ8xJJv/j2xr1osy+HkBDpJnGAhTk9FP0YwE83i3zmqny34HbjsGy6yCBz68Usbo1AKySfEJxvm7c54hZvpd/i2dbZ9n227Xvg3gcde/Cxdzzpji9+2ov+5A3vvtNNb7/3fBs/tAb54L0P+Jt3ffhv3/nhD7/9g7/30t/dvmUvmTtSlmZiO4QSVSGSBn/v/O9RAhBt+4IfXPDJf/vkMKtZtUAUtw4fC552o1qwlxq/Labm0eyYu6nWmNVm0pJ9xY4rL/7RJaTpM192xWUX/uCidf7wIBEhya1pSFfi20yBhG8xL2PFBAuTotTaOM4vu/KySy/7yaVXXPrjy3/848t+fCly+Y8vvfzSn17x0yvXrjz2yGNe8rSXvOvVf3jaw08btMXshMjLJUq1ZWMycdGRlrWo+DlWe23d/piHPPp3nvfa33ne6157zmted/ZrX/PsV7/mma98zTPPffWZr3jVM899+ZkveekzXvjSZ77kpWe++EVPfd6jTn341mGrpNkwmzliDWSbcSOHmdVblT0AmVSDBjuzWiyNG8Miq3DKktNENnlivAAAEABJREFUQRJW9qSKX6oN8BQlByPwV2uiWaS20MXtIJKAyqDRbjPhYqIq1VwBbDR5iiFqzTTFIkJgBzMFTrcWQFJqNgNVYK6JHVlOKQduvUZu7vo4X5uvrc13rtXa+nxtfVyfz9fn4/r6fH1tPl9fX98537mzBexYu3IsbnreGSSr0VRW48gk5130/fPzv9fiGONBfOllPzn3TedesXYZRZbzjAMoFCkJraktYCoiOflGNpB1EBQtNY1yyVUVJDKKxtQQWSHONknMgYeTSpLZRBI3cFacai3Gq9gt3umkG8CxuBMmDj7CFBhJRYdU8zVNAWoAWknu7IN6K5OfCIT5Wz2q3ILmJgnSYAGYVitjPbJ6Jq/wNgGJJBPTdS62xO5Y5FzOy5QteN60ODEIg0QbWWLyqZcBNM4WaAwR7Uyh1lJVAFWtzqiNJUze1rUsQVwkSSoQwT0hE8Vk5p7LLX6ZqljvuAyw420DKatsi/OAJAIm3ch3jqSa1uvQ07ymjWYMy4YvsReDGVRR9PiEA4SYUHjyUBw7icac6m81TNgOzwjILmA7JCZ4F4FEINFdqIfsMOLf9apsxiIh2mU3a5zHYgjxlXXFlJpPJOCUllmAMehkW6yvmYxya1q2zCXSDMSyyiq7oQEQKHqyMrJJHwcE2AygVzeDuIp9Jh/IEiIaWdFNBnTG8YSX7BZQTeNYGVuF3TJDqhtDnwiNxL247EWGxoycewCrpvLU2IZ33ALt1mlRAK4+3wrQ5mZPQzpNAfbEgCHNw1KF7hiNdBegS/f21YARAtDd+79oYhCCewxTdcACANOzIXHvjY0kOruXlYO7wC8FpmOSIiKTV8bWNLC5RHNrAATYeQAm0k0A0smuMbs0c9qdxgS3UWW5MVlFC2sWh5AanDJamLqLY4O7M4CJrAI4IYbcRXowjuRSgkTLCDokdI+J0VIBlkJm8GoA5qr0gCXTK+xmXEysTJYMWU6mi9dZb8BuV0ap1Vm8wfsLSLRkWDmghCUXVxXRQtHZfOd2PrAqD452bfihaiSUniOS+jppB4eV2f4G1Dm3pkXNnD8IAqKLmvJU08FEWlhcpIk4pLIJ7pDQyrCFWWJnuqu9d1r8nhQfe014x4j4MTl7XN+cjslm41bxX4RlVnethi1xB10TZpaX8oAZ2HlI7I4BXSARcNd4AV06xgXoAsYFBnQBI5BIZ9BO4XKvgW2BQsxSWQmrGHtNcNzo4u3GT1n2M0BZuHprx8YWvMp2Z7tmUpGpGWDEngLASPNMahdzYpkxWzRipqdrYk957Ak0OmqZx31p4biog/KyJlJSLRQg/65ZyUBy9gBJwcRa0GQI00JR7IjbSI9DAbjrY1VEWz273c1ue+eb3/ket7/Hg+/5oCc97AnnPuNlv//Kt738WS++4y1vX3yTne/coZ07am1nra/N17bPtu2zde99t+938L4HHXXYkUcdctSRBx915CFHHnLgIdLAt3t5MMVZW7Zv+fr/fK2YXkYx5+VXXvbJf/vn8y763s9d+wa3v+ltb32jWx196FFqEQQgxFm2gSwRh7EwWBFarSsoppjZaJ5i8o51xRVXXHTRhWJFidNll//0b/7xb/7ne9/cf5/9jz7s6GMPO/qAfQ+Ip6Kk3HKUtdGGwbNh2DKbzYYZC1h1TUFs9ISWnQd5xxVXrF++c3752pZxNhT7O3ock9xTDnqEMiXTWIRnYgqVrn7MiTe/4S1Ouv4tbn69k0667s/f/Po3vfkNbn6z65100+ve7KbXv9n3vnfehz/xtx/82F9/6ON/8/FP/v1ee+2tOSl0/JHH/fLt7n7XW9/lrre6yy/e6i43v8HNKJts0jiIkkTj7nOI0K3qsilmWjxeDhO68BGBB8FeFcsatLk5Jiq756EDtzZs3bL1gL3333+vfffdvu9+e+3H8dhn2z5bhtlMqWs5MT8vb3CNGxx/1HHmOWR6CmCepI3RvpSwT8nfK2yjURZh9qDZILRnGowCEl7lUb0xUakFow2gwwPyMMwcq3JI1tHwNcxm//ipfxzZVqxJeCzmn/qPT7/vI+9fm+/kVmJT0DAMIg21yD3wiEMPv8l1bvLz17nxsYcfyyJhTas43WJiUZsNZdmDA7LhCaqxmUNVtkKKRfbCX2AOtoMVlZB+N0XLm50u4ngYn6hiNAKFxmiAUcR1DUhoOk3TiTi1lqSEuTUYU0PyEICACF3ssmQ3t0RC7hwDJWWL6DaL7RDtDjWYbKy5yCcW2rxsAj1sr5kQ46JrEUNLgCpI4hQHFVXr3TReUxVdEzeN6t6ElG2qhVuRrMgOb9bQEzY3i6KHRDPVEoBxLcw4MdPlspiAJPxgaDcXs0fa1MYF0UshqDF5GYchrbgCoYAIBScmoVh90TVbQrdticmjQhFFvJu5oaC7YW+43FaK7q6uMZEeD0DAKSdVVZurW2KJSsNEUiFWC1Bc7UZL8PGKxjdualtYELknRcBGSZCRONIzZ7oqdImHz8oH2NjPDCTldQFTJxgQWaQME4yzbcuiqilzOviM4CIt8YiWYVSS4TglMMqWR9sSBckOILs0YS1bBXVXkBKASZoMqrKs1sK04GZdpWIsvq5XARhZ8mAE017kbzcaEoFHAEuxE2Zi2vmBJwATgIDRS1nyS6YHTHq6/XESmbyB4oS6LZawykTse2AuJiUGhO7CSIClDjS17FAYHIorWFfZEsUWE+QOF8PbCDtkg31+nn/uPkR4G+28b+mLCx4BIJm6RrRYrEPgmsSOzVq6wAJCgbpgVyrp1kJPVHPijUBhkg+N2FMacJfFWOonnnqmAPjVALC9cJEU9yR4guJkjcnBxSYQ3ADORfwUurxr7R3USaIRYs19hWJIF5EUj0WydvHZih8qz3BLxShhm4h86mRuzFDx5CJHuuVV7DxDmzCEgU0SFlDcswIwX3QLY38y3GRehCmg2akZL8Fu05pGAqSNpXirOTQC1Ej0HgR3xuIh2SIu0O7fReMdcTSOPlIhKy3j0jevSQYhewLNE+XWWFLrKW8iiQahI8mRnmtJdrDU5O0ZuiYSEM0lWVjW5tbHwuFDRzJ/whzFlxqnldkrbilcpMiVpVJzhgCzuQTZ6new09E2XACXbXQmLXqSmBakYLJhItqthWz/GhqgJCGEPAgAWQIw0sLoI6tYKU9OAosaGuD7vGiwMdUUNqsiWqyqGVEZwaUWY7zmrw45vaNd9nw4+wnPfdGTX3TOaWef8eDH3e9u97nR9W74gx/94OOf/vh7PvTe33//O3/vvW9783t/743v+d03/tnvvum9b337B975p3/73o/+y8cu/OGFj37wb5352Kc/49FPffpvPe1B93qQxjnlsPuDBt5I2lpfzv/rLOZGUhjdf33nvz/7hc+e+kunvuBxz3vOY555q5vc0ppaABUlULZl+Nwh2c5lDxHUwhZu9hD9w5/86KIfXMxjCxVG+uo3v/aJz3zixte90VN/88ln/vYz7nrbu27fur15RRgx6ZihCQypZzO+e0cNmlmzQcMuMtNsi7Zs0dYt2rZ92H7Ivodc92rXPekGN9t7+15kGzzwlYAHS9KAsFpERiW/BuOwTGONY43zkTK++j9f/9R//stnkC9+9l++9Nl/+fLnPvvlf/3slz/36S985u8+84mPf+YTn/iXfwD87Sc/+rHPfOJfvviZz3758z/66Q/vfpe7/cov3vtXfvFe977rvW92o5uRh1lIvyLcWqpo09nwudQUs2PzbAB4TYFbAH0Xu4WZRoaG47AguEHRGQlnLolvUze59g2f+qinPPkRT37Kw5/05MgTH/wrv3HEwUfgN5eako4/6oTnPvHs+979VGsgjVrj9iHAxrAOtnDMQadnW138vD/yoCOOPuSYYw456thDjz3u0GOPOfTYow85+phDjjn6sGOOORR99NGHIsccc/ix/PI59ojjjjv8uOOOOP74I0642lFXu/rRV7/6cdc4kB/bRVaPfGebzwup4g9if/fPf1fKTBSwlEt/dun7PvKBL33zy8ThHNOKWqS+EFu+863v9LwnnP28M573y3e4xzjH6d600mCa5aajWB6GuUSutm4oCcNsdjqczFXMW2SVxGaw7dwpyodhFeguLY8YFcFBLl5lsgmNr+DEqdfU8Hc0AWJASBuiVEC4OLThQlaKKCUwV/dKYgbR8EArF4cQAgEgdsgWT4qO0YhYjWUxi7LzxQILS2k8LkPhLAzTZ53pjI2EptuQtsDMwiRLZ0AuxVsZzlxZyZQl8ewKWwopRpKvqNeeAkyJccEjbGm1IXjxsLeY8MKgW1ksVqTzoLjoxJCWoADlsdswmKa0HmILx2TiTIWZyDJNossN6uWOc1xdLOGKZjq11kEf1YgEQHZZMh1ENwfxCPsBYyv/SQAVO6BUFGUUUqyFTtTQPNAwCCTLCl386pTMf2qtVw60Hd0czAxGircn/xDCAWhJLKclD06JQ5K+2RXNQISY0CvXxDBZkaI5WkKlVK/Y4Io5efHDQDCSBUgLS2mNBFAedygF1DSRBKAStda3CqZZk5rMlrBHkq4DIgAR0IrAUC8DEWh0GGUuLVtNNeANtzCDV64+cIWYYOcZm7oYCw3VBJIe4n8XwghYHo7kwV4Ih5X9RRpR8U4DbNbR2Kg+U9edL85CPFzmilTyVNOYEwiHFZmYzZnjWLl6DBqxydwkYCOoUaIMYhDRMimw7OasaGw8CKALGHFrgC79NlMm9BRmhjdnCQSJYQMjbq0xAgKWgomsmksMIE+8OZ2FCYYJkIVhgxGW4sWrLQGG30VEvFpziyQMgMB1XeIF5tUwXHIURzbxVW4mWDawKj2AoJB0kUKFTN/hAmUhMAuJSSCSPLAklGJOOgGl6oxoNjisEhastGqfsoozJtfIc0/n1gCTpJBc3aRmBNw1YM+Cm8oQSlnZvcV8dpAZSxl2QMfoSRZz2vHa0ZNriRtgKre28C56T0PMXEvcQddTYD5eJth4to+cuwgBMOhI395SMic6XL9iEZeFh0ifYMdYXGZcxbCd7ioue89e20KuYlRoR/W7ySsaw56oXTDmJunHZEGxDoazoqTqBYs8jUgMmG7SxTLzNb7FNdqOCzt5YBAMNDJ668CPhy2cDr56fvRTH3vOK88+53XPO/etr/ydd73xLe956zve/84/+MAf/uFf/OE7P/DOd/yfd7zlz97yO+9+w6ve8ZpXvO01H/zYh/7rf75xjROveadb3vGm17+J2se/OUaDtcXfv+SC71/4/RTMLJP4yrUdH/mnj17yw0s816xmNCpza4QE0zFmUV48kvkPgWRpxuYS89hy+wvAN779jSt3XIFDU/PauP7Bj//1zrUrb33jW936Jre+9tWutYUfSvEu9iDZYk+XRTHDsOWoQ4960L0f9ISHPv7xDz0DOeOhj3v8w854wsPPeOIjznjKI5/01N96ytN/+6nPOu3pz33iOfzp7/lPPvuRv7GcqsEAABAASURBVP6Igw86eLZtdshBBx17xDHHHXnc8Ucdz1f8ww46LKe5mIabsZB5FV/c57U+rzmt6l3v/6OXveVlL3nry1+GvO3lL3vby1/+9nNf8fuvevU7XvO1b3+drx/F9w/x2VN/8Xd/8eK3vORFv/viF77pxS9640te+rsve+lbzn357577ng/9+Q7+9FhMUcX+aGoxzOddTDuafe1dNF8nKI27XrJxmyZ6yRnVkNDQUxI8EfLK1mJ8laQTj73ar9753r96h3vf9y6/er+73OfUu9znLje/0wH7HDif8yoTsUrL/97vxKNOPOzAQx1z00XWLpzzhahkeyD5mY95xquf/apXPeeVrzzr3Fee9YpXnv2KV5/9ytec/YrXnv2q157zKvTrznl15OxXv7bxrznrla856xWvPuuVr3r2K175rJed+6yXnnzz24gJVLwCyV+Wt/g/v/6Fr33r68yyqZS2Tf/zvW+8+y/e/dOdPxtrnq0dx1I1T9c+5IBDjz3s2GMOO/rA/Q/McDtasgNacAaotT6GP7N7sMzfcQjDYS6KMT0RGAA2rCBAcv7DKD7cujOMhFtp3AKwgbwtLEt4Bi5tbjauUPYEYohoZrUM0krDlh0NaRqdKAOmS+zF1Rn0glDGMqjawRBbxiTaFCBPZu+iCeass3axqCYZyWCx+UoG7NazVGKAGRayXZuMxuxBLabFZcm9KdkYjjSYOVsdboz21ExjQ+ICIUEZWNzN2jyuui+6QVsIJgtpBBBhuxCWFVFgA3gwgJXM/COZGG2pawDSMWElamAnFSYpKsCceIzGSxOjRSQgQpCTquGeamGG2v0yDbamPNyyzCH1UdAAJka00apnDkE0sdEtQ8BgGJbq+KNWBsdkNJ5EOibYRCzWhbkquJAF0+O7FjvJpbQFE9xrBi1ICKzUlE4dNJLM9KlEVJ9FhcHuxSxA61dUjhUDWrzEEDG6D5EWs6q3eBvVx0PCgAEb4kRskE7D2xl0bCcG0q0BlgIxYVtLmSgIL+Cu/S6Zi08nQtiRtrOlaeAQ0H9uk12mVVXXia9Cd4EHdBcYgAlAL2RKGtJjCyhNpy45e1i8HS10Z9BI43ITMtwAfiV2emiu3BiKQjAT029Pm7mb8BngFAAwLgTWZKPrGVIPXsQyb/s4eNole1FxEaON1gspVpQ89JLVGklav6GWzBLgsy2PVhbSnxP1NlTvu7YJ64xpnYxu5QXs8XKqiseUzRIczOWkooyeCo1AtwLKWqwqUdCLJEAieN2zzpYZP0nYbGXV3WL0SALBVtn0k7RI05rdHO4LB2eskgQFBll4bdFQrSIYNQ+51f4YIrdgwhroZsF5FEGZn8G5uc2khEhwvMTJTgDMJHDFsJCEQqKRDtCLcAKcx6dNxLtPELhbWjuGHd3HNk+UWwuSGkyMFq0z7PGCSOWQyyQABC96KZhXJasxHSeSCSajfTdqJ60T5ow0JE2F2VCsj30RDSd6KfYU1hnbi3GdiF4OWQCHlWz3+6W+h5K4idM8zcu0mho0/xg2GVKezQSbnIhozl2r0STlIhU8YaxVxo3UmJWSKZgPIDrx0cUtM+GxGJKuXbZbLxHqGoaB3z0X/+zis199zvN+50Uf/cxHv/zNr1zwwwsv23HZ+rhWGnksRmU/0fxGuHzHZZf85OL/+u5/f/LfP/XW977tic978t/880fW+bd9bqnEvDXTlr23fvgTH14b1yC62KacUv3Xd7/x8c99Yue4Nh/HGkXRy9osC6mhxYJ6r6lZ2B7E2kFmJqNK2+qTn/sUmckvDaKZrLr4J5e8/U/fPmwZxrX1YhHwTdw0xeb2B5OldcOMv00duO+Bd7n1ne9621+83S+cfPItT77tLU++zS1ufauTbnmrm93q5jc56aQb//xNb3TjG93ghte51rUOPfSwLXttu3TnT7774/O+9+PvH3rE4S961otedCbywuc9/XkPuf+D8y2dNRal8fWaGyoWPNKKvsYUNV5w0QXfueh751183nkXnXfexd//3kXnff+S8wHnX3LBlTuvTFm5WE794Mc/+PYF3/3W+d/+9oXf/Rbggu9iIhf/6BJlSW3hzMB0saEyyrTBYmEeuM+GVlpxptiChMhtQ2HtuD3M6E2TmlJrDMCLqKLY4n73VPJ8vXbuWF/fOc6v1HzHuL6mOXd+5PdkXlbMQwYGFaHc8cIqGh1/E2N3OsaMsA5b/DeYui740QWf/s9Pf/N73zz/In66n//9i75/3oXnnX/B98+/8ILzLzr/gsgF7OH5F1544cUXXnjJBRdectFFl1zMHzkv/uEll/zw4ot/dPFFP7rwgosv+vJ/f/nb539n1Diy+RyUQesaP/SJD1/844vUf8pkbqNyyevj/O8/+w9/809/o9k4jvOc/pQtO34uhOBUXrZlDMnuvSzTWIFaM3osHjNVO3QsG4aYssfspJK8COuvghJ/Ii7FjsZUKsiYXAmqAEqveXEflNnCFK+JDJPK9FCcO2LBsdNNbwQihIMIhbVsx2iXvcBUJ7Dldivxmgsxd8fGQDAjVUmIRuzwjVAfCzkJa2H2GByNdHaCTalxZaLYrJk/FXMe5IKnEnThKaFa8dSgqfWFNyPedg1l3heNQ03FgLosV9RNZkkEQzIWyw6gqua3zBQNRlGW01MVnUe5LG4u8zkEdrIBJY9ZZDvomloi4bE6ncEDkH0hi2mSM4rD2fLVmL2CU2srC6+MkRjSBSjFVAZmFLwkNKLdGrPswhHWSDLjaVmYg+pgqxZeXDL/0ZtIaKwRi1IJt1FYRIBSRgy4lgRMj94Q9pBYWJIlHIQTIzkZZ7wyLWwrA9BNwB6lWs1LF7cy8TyIlhClMU1I7KwizO7XMg9g8pbaKGmRR70teNJ2YhfdR23kWbiJr6pugTtAE490BgDTMaBLJztedcEvTXAPWGpcyNLsAKZHApZMBwvNanmroUOwCqQPcbhiNwbxaMQ7dYaLmVtqu8HgJXBr3WxwigFDLksBwyDFG5NpW1pMBBfSI9FdOrP0LsBG9QRAOrP1EwYhtxakCZNNKw2/OECKF8VbqDPopUjiw9Z9AyozWkM3V2Is9SQ5250nMytjrBYNXolKcK+kMdlAAEwXkWNMjMSbRTS8SLWVEQOzFLdSNpHVa12GTIAMCFVhN5Ap+nAmVK2aweQkzLylWkIWgilsW/xLY5Vb69mALbMpJxg2YgkhPR+SAXG1bNpTY8aazgNu4vPSBPXaGuC7VzXQc5I2i7XsdmfK8G2S4m0Rqo9tVIskwMLcXUjbyQ667quGpzY00vklwKRmtJNWHmTNuCLUQhmSPd1HNca8uhrfTTKvgo6XGqC24oB2MU/rNxQJu9HBUneAC4DsClIXtJd8M9oXy6BcLB8vGgOA9GplLZklwItMAaA9yR69xQ7ahFfxbSignaU+BSaCE7PsYNviv2ERjJOTwiNTBg5sPwHiGjDtkACVaVU4bJQMObR/P1IjzH2xLAEsq7VhmFkesisFMSiHypLbnf7xZZe+/g9e/7ef/MhPr7h0rPZ8xmUClJYhpuUhssjP9BrHmu/YeeW3zv/mS9/8kn/58r+wjPyRaajZFu8cd/7Z+/+Usyu5CR1AtHnN3/vX771sfvnYvkaQFYFXQkxdPJTRSouLQ2fWLKVUFzXgBssehtm2Lef/8MJ//cLnwDZTjBLbZZl4fezTH//i/3wxuLRshSsUREPk5zzz9gqwPfNs9pLXvfSBj3vQA05/4ANO/43feNyDH3TGQx54xoMf+PgHP+CMBz/gcciDfv20B576mPuf+tv3v99v//r9HnP/+z3213799Ac+5IkPf+gTH/bgJzz0wU942Mt+59x5/4HHXvE1omhMY8uZuOhqsHlPZNo2O+4BWrJZplpclFqDtGUbC9XEHvjPs4FMsrsLXcBh2DIU+Yo7P+NiXZ5JM5m3TeZsBeXbaxJyIcWlAadtTQlTWixtMKKNSnAuyfPiMIxJaPY/kaxFXEV+etmM1mygHvJndbB2onEAkDD4QbOZh8HWznHtg3//wae85KlPfelTn/LSpzz1JU99youe9pQXoZGnPOmFT33iC9HIU5/0wic94QVPevzznvT45z7xcc99wuOee8bjzj7jdOSsM844+0lPeO4TzzjnjN/5gzf88NIfck8okY35p8//8yc+/Yl1fhcycZN999p325ZtbUlRO+c73/yuN5//0wtqVuxZ22meVWmwZLGlFMkmD5Lcm1gya4qfJ5n94EZgQCeiip0FCMpR8M4N8WD+rsy5L3JbImwoGSQKlYZhwKHWbNMPnqERgA3DXKMN4HaVTU0UgJ9UpqkAxBQFBksh1VporoYXasNmYCdbJYHkUIYXZ7cwkEzKkJ4Tjag1ANJXAWFnoO2GvWyLsUMYdiQpiRk8DgNvNpcHzOZkJEJVCIsZ4bFJu/hIxcpwOrUKcUlTlGjMhY4Uu0RPNAIgijhbjed1ltWp2kSiUUkP5BZjdulhRX2Mlcy2l9FTzUrDC4VwH2MvLhLyo7p5B3GDBkKQ4hi0icDWkLylYBMTSysLl2AQ6ixpVBogJitFIJa6AxjEFIldqRZzF8GrZBaNKMyljOMIhu8SXCkgZg3oMLylUwXWhsBflSSoBvasBWQkZ94mG5nRcg48ADOxhFFVkKaVgpfMLnhpstYew2sJgUc2Ui1XAbtZiEEYi+6eJVCpY3QXAjroeo8mZJces9SrZMddE9ABehVj7i67BHST4lcjIZHdSWLgEQCyBOBFcIERTHM32vHEnCTv+3nH7WOmQ3S7t/SIW1sFLRfJ4CKY6fZwTXN7I3YK8qJ1GwvAGUJ34bsI5DIzR6Hzq5qAVbNjyC7dRE9JWg3NVWj4XQVaLaidUWG2R44wT7TcGgwhTYeZ8nc7urSIjyUxSK1NwNUssUbyQLYM7fM4jkzcmBgqciWesNju2cLIIXa9Frabt+liHSLaANg2VmlO6wBXAJeJpJPixLBoZMBsQOY/UGSRqmVuNYdpQLxSJPVRYp0VVzN5L0BMMkwnMt5G9XcicKUk4227Zd7fuLQpOQVNQpj+l9Zmn/xgBKNXi+4mzKpMpHvmyryUwFrKhPVRaEQh8naD30V6EoveuBLcNgQbMxI6Pa6QFv8FhBMAHghY1Uuy80vXErQtw0qGdFw2KjICkEXBFa5fdnhnUD4dO7lHvSwAb8eASMvWGdsw5gCxaQpuTrhIuLaTBIjNLc5Gi8HR42Ip/1TZTYLCtCtqwYoW262pTSQJS+Iz2RZYNNPk/IcCm64oAcmzxkd2SshlolX//tV//8RnPsGvoFgMk7dv2XbUIUde78QbnHT9k25z41vf9udPPvkmt7n1jW99s+vd9NrHXvug/Q5xPggTzv5fetlP3vYnbx1nVSKf1zX/07/400su5e8txRFA9ttrv1vc+BfMELbI+uHPfvTHf/HH+W7Jq5nxjENSZBLmGI6FJS4S0AHiIUhMMJDv03sEAAAQAElEQVQHEzTT5etXvv6tv3PlGn8CItS4rnbs8bOMHuRh3fN3/Nk7rlzfIZwMaUJ+W7ablbNhWTJv5tkW5yv0zLWl1rQ+1xxhOQhgFxmbdxdy3evriuQbY4lPdIqOHjEiOTAcS2c+yp15NogvGQPlugbbmJFhJgylbnqEPMq6zFBkUAbOahg8kwalecByGlYx68AAbjYWN6FGfh+RBckWJHOmsIhACr4F2ilDxsEFZS7EoejlqH4FsirxXkdcY+XNVvxD/lBiG1184iojLJJZg3p2YYtmLlEKYorHbRpeKd9ox/yKYxepL7pGz0ePc8+RBS7w3NVvBJs/V7txLWbucd3jmtd3an2t1ilv1DhsHT7/tc+/7c/edv7F32/zi7Z9y/YH/MoD73a7uw8aMLv85IqfvfJNr75yvnF+Bjlis0fZ7YHAmZX/QJOYvsJx2vuuurfCIbH7A94ijAAOAzR/x5IglVa2huZ1Aln8AIPXdkYrDQjDXbMdO3dYMAoYGyAvImIgF5LkJksKcyO7Ft+hm7mhWuJkCEXV6biqJRe1YzCbWgK7dY1yaw1OikPigQBkYhhlC8G23bSoi7SmSYJj6WaDZMsQ1sCGWMRo0qXWyN/6KILTcaVmAsiCkX3oW9E1czVAongXF/vCFkEysHFJEmCbzqKbMRYssBMMxTBJRijOjHVrzQ4LYFBpYntv85DY+KUwbRUl9tS0MJ58zAKNxGubXBgrQoAlRDTWZU8Y097AuLrswmN2iTdPZLfEUHsabgfY0d2dtXbTFKBeFaQWzZ6C87As8MK50dvO6QgBRLLMtg3CgC7NZU515yEmHjQFFAU4xRe7OOGli7BJXLI6LzBzEJ/11kbAhPbQkX9X1hKiq2zTXJv9eyR7CC5kDxM1N67W/7+qq8rD+F1cu2TexUt8C2CXNu0t+6esny1AtIgRbeCKO7xqbBY2ibPjk7nsoJeYLJhdOu6ujCvmIAtJsSp8bnePjSa+k9GLK2TlcCwImf9I02RBtmzNIBFHInphLjFEstExv6ARY+0isMxAaSs83NjHZmhzLIGIjmhTRVhdlqUtQPKQr7gZDMtW2wALRelkKbAgO2PH1KZWgqv+3q94qumgPVzNmSnxVZIX87TPjOWogJEvOjiyMwROwjAqwigGJQo3UjyBhYMrQ/BTEBrK48hegcNMtWdSmCYlOy6M9rrpuDCZAb0i3QXRQFOVw8B50OJYVo1xjBqLHAglkGh1RhIspFpbWFMPN6HWmbKgki42MF3S9uzd4pMp87IPzdNcytIsa6Uth8ORGR1pIbhgkDCLKyQZSkue1Syc6eGRoHYRj6wy3BCYLi1kk4Kf7Eq/MDGoCcnoONrVvRQA2DRF866q7iUMsmMAwlj0BsOylFnYtKlnQgE7KVot7l3PBhMJWez20kuGJOc8gLSI7R8MDOD+4ObdRQDOwmgdAG9xTQLRLWYAU0octmwHpWfwWq198etfvPzKyxuH8mEHHvprd/+1pzziSc981NOf8+hnnfOYs5532jnPP/25zz3trHMe8+xn/tbTn/CQx510vZsNzjPOAI7ol//7qxf96GLN9JPLf/K+j7z/3R/4Y77aUhZea7j5DU8687SnH7LfIaIU8a+v44f/8W+/d/F5lIeYpqyqx0usGRWGOnkkal41CmGkiBSt2LFvff9br/m9137kHz4y50t+kbr227bvkx79xOOOPF4srJH/8fUvfOo/PuUtlEoyBqMRMmwSexi2zGZbhshsaBXtIUwLrihySrCgJnPR8azlyU3lI8ULUBQFbIgEYjn3usu9Hnafhz303g9+yD0f/JB7PejB9/qNh9z7Qfe/5/2vc/XrmB/frEmMrK1btt7o+je8993vff97nXr/e9zvAfe4/wPv+YAH3/tBD7/Pw0659S9u4c8iieJF0dKKkpBeCdtodoIf0sXvEaZUXblzx/+c941vXfStb134zW+e/80Lf3AhhWXJixEkA065VjJBEubkBy6lrli74qc7fnrZzp+hf3T5j773g/O+8I0vfvxfPnHZjsskNpPIJDMDDUY4zWFAgmRjWGa2CTcFKy3Hmx9M/d1dxRqIqUVLicELbmzGMme7/1HwTRpm0Nq4490f/ONz33Luf371P1h1Mbu4fK3jr3WHm97usQ96zA2vdUNDRDLms1/83N/+00c56abIDCjR2AWWxTnhGWhYaDueyo0HWY7ptKlIbHEDqq+QLaAegrCbhwU3wnDMhmSuXLgr6ZifmszRb6sFx0NhwpthME4TQOLMqzU3G40wBVxxaZoYElHGtQuXZfQicRmruARt9oI6UkBjlNXYHau3ONtgzI7dwloZcE26YxEG1Wpq5SV/0gowj6fFAvoTBW1SFSUhobHMrkxdyJYsgIS8KxPklRa7YgcIQM+QApKE6VSGatK95ClMKlrxAm0mTikA/AlzG4uvGEEXOhdW3GExcTQilEgC1Sa1s3S8EAltF0ExuZDuAzQhCdIgaVpPth4DgOgYsBTbHZvTmgm6xdIFY3lhi4dyiZd5VkBOqQnn8JKnFVIZXn3USiRwIrurL2nCdG3T0gP4JxrchJNWdBSWTemQmN3Fpgi5NToCgF0D8DE9WZTk0ISQEBqACUAWE6kB6M2SPCZsM4u1ezgMgospmZidaaARmxTOTXYL24XE7EIkX0HRyJIBr4rlbhJgmdbNJegmGgYBdCG+g+jKyIB2rYZBELlgOD2GITqFc5lP6cZIvCBxscviAWkDLBEJnIAWLZRDknrBpbdD2tFqQ1EAhUhm4nkgvWhqDasFNGOhbNmWENGKWnObocJgavm2lGyr/Ud+/a/N9lX6k1TsUAvAINK0ZsLHLLar29HEpNvT5XaEJAZp0chlbGTBTL0XTZvitUvLBkK14P60YW2AGJsvIrWRkXkRacH06hcxzeXOKSQrmNagtMnF3YsltXj1VrQM4dwsEiyH4koQtS+p2NCE9iQAqI7V8mBGGGEZZAsBTLIwQnvirqpjplVXN7te5cFuDYAA0ZtlMZPV/utlTyHsCzkRBnbpDhik467x7gIwQ1rk1UpbHZiAFRcmskKIsTCI/i8tZRPGbC2w3JDdujgb/f+HMi0nYTUXd5KJVqcILoremKjyiPN1qzHFgSEEjpgYnPPmkK38P4nBmfdBu7Rshbua1XVzD2UnvPFR3Kx0XM7jji+nu6qDaEqpZOCr6KU//fH0fUQk1wnHnnC/u9/n5JucfO1jr3n4gYfvv22/vYe9kQO27X/kQUfc4OrX/aXb3e1ev3hPfpiQ24zwsD7OL/nRJR6G8y4+/31/+4ELfngh6dXaXlv3+pVfvPeJh59wz7vcg38QDmf/9Mqf8XNL2DZMymrrEHuigisQKVhG4Rc9BF/zeIPz1LJTa/O1d/+fP/7zD76XXxGYBAw13OGWt7/NjW959zvddSC6re6nV/zsY5/6xKWX/yRZSCiSIxZzOJzThsGaDUMglzyM3lKzLdoyE39gmg2azYJnQwVjIjMFzxIwbNHMssSZ0NQomz3lfPNjAY0papTG9vUhTI3z+d1ud8oj7vMw5Dfv94hHPeA3H3K/h9z852/xs8su++GPfiDip1yaj/OLf3Dxd77zbY/18z93k1PvdeojH/Dw3/y1Rzzsvg+7wy1vN/PAziMtnDKQ0iB7aAzbs5GLQr5/yQVnvfqc573hBc99w/PPet057//oX7RfgNSUcAYjGGPxRYue4QzCVVmiHW+KKxR41PivX/rXM8898xmvfObTX3Xm01/1jGe/9jnPf9ML3/CuN/IHT4YRw0DLtKYMiZB6KIgmQhuLm1bFzKX8SxOnwcZTlvjrn6xmBmOyuvaYwMmSTMOVexGv842Nv6vl/KtMBAP4N4U3/uEbv/rNr1K20kryfnvvf8qt73L1o088dO9DnvbbTz1k/0MIFsvjd+n8yr/+xF9/94LvkR3CvWE4FwkJs4Lx0EWGQYudV2uGtQ02iC6ZmFhuuKmKYYeptgkFzEdxqZ2qnHqGKReUWiSaKDiJ3jJrZbA2WhVcM/mzgBjYTIfxpC13M13mXkzR2AwpVIwe2FBTdoag+qjG7aqcltu0qyPJ+qImT3JVUypbCA5nRcKiKMowFJbapZUWR64StSLBk9uyJ7jnLk9k93DemGdzNBmLDBNJKiqS1UBG4VfuENWJZjuaq7iaALo0KyonPX0uXMwZnYHTTsbkucM/conZkpYARGm1AAJ0Cd2vVlLgEmDYhNEvpE2BYdYz1a4k07Il3lFLhpIyzN7ELkabltAWErBysa7u9XIOG79lGoAAdBPyJUU2lY3CUoK00voQCIZHu9040FUJAZtcyb+Y0ZOHw9jmkhaM0hZhwavXVfGJIQEVTdlCcNmw9JvE3gO5GuGVBo+FRixgBLwU7OUdB8tLzx5AAvZAN2plIGGrK8VsEV2xjQkt5ZRanCR3B3rlmeew8sGVlxn8JKtJwV1Ws4Mhie6aZyQHIidwmoMAvOhFAPNPLvhOrmpIL/zpS9yjpBVAyueNaHZzcvMs2zBdeqqOm+Zs0hfXqizDFmBo3inPgswypBr4qIh78gbm4iTSua03kVUjhdiGRao1wCRODdQ7mb3L677libcPJAyJu2VqZLzic9622I6VLEyS0JVrHDPcfGgvSHPHEwefewy94TVMX3u8qoFgwll1pJorb95RKZWhkomUlEBNDQaB0sKrZcvMGG345g9cLYP70VRaqS2Q7JVNhXIqoS8RD8lnx5RTaUV52AsJtXJBY5FtF42JdC9gz5KVMmtzMnFRWvan2Smup12aPVvXu7iIgUeWoGPMXYSBVWKluQCsNmVo2a5q4DJgCVYi2cPQycciyJ45soSwzcm8wYtrZeyCWvS4kFgtHQATSWKMJjEDONvVM7vNohyDPCbcU2ImkpF9jWMlinfSOKV2GpjY6ocW5ASRwDS2R31spmtXNxPHIkdOR8KUOaQWCy2+gVpCL24oQS6bAJ52H3TAgUBhM0+N3znvO5/5j8+uz+Zb9t46bB28bdBWaUvVFiHaNnzvkvP+5u8/sj7OmZZRFklm++yz7zAb+Al05Y4rKn9CEY3fJLe7+ck3uvaNNPe9T7n3MUccl58Fw8A33c9/6V8v/sFFNoMHMW/WVpRhsSPt/HHH8opmkmZmIYTDqkakGL5zfa0wxLprn+17P+IBD5utDbe92cknHH2ClGSjxi994ytf+vqXlKFaNtsdk7UyWuN8rHVp1DD64ac+/MVPedGLn/LCFz/5hS944vNf8ITnPe/x5zz3cWefc/rZZ5921lmnPec5pz3z2Y999lmPffZzHvvss0579tmPf84db3l7230WS1TM1MqCRn47CDtStJELUc3H8ZIfX8xf5z77pX9979/++Yvf8NJHPfXRz3r5cz789x++6IcXj7wBRaaUOZ/PL7jogv/48n+898Pvf+FrX3L6M894/qtf9Ncf/9D3Lvl+8aNw+4yd5wefy8qqSQAAEABJREFUZ+yuPci0vM2KwZSQ2dRTRV+5dsVXvvmVL3/rK1/51le/8s2vnv+D8ymNyCaMTEy6jE7hjUcZh5OLaxqRkNIPfvLDz33585/98mc/++XP/etXP//F//7SN877n0su/WHN4ycFUkUFJOAEDtke8qXj9UcH32zgSGYCYm711utf/TqnnHzKKbe5yy/e+s6nRO5yyq2QO59yqzvf+VZ3vMG1rj/zTFVmzdJB+x90m5ve+hdvc+dTbnPKKbe+y51veac73uL2d7jZybf5+dvc5udvdcNr3WivvfYm++WcTwrKDLlm8s2vf9P73vU+e822a17XOuaav/XAR800i4/Uqm98++uf/Nw/s7MDv7sHt8ajRM3MG90io8xPvPRcbYvoWVG1DkCs+no1aIxVpp5eCwMSRzCinjkh4hkdGRwWulovCQ7NKOrpAFwT3QdCCy98UEEOASSckoRJwloJaxGoaVQQl5RXWduODFBvPWaFIKC6a1VXjZTRGEuZS5oi4WsxvpSx1ZbAszPRzFsEM6oXj449eUk0CSSIFaEXwlggm5zEoA1h3hgJwLcc23Ace7j6kDYvs/AQpypxAxNLVXR5OMrB06JcjOoStxmoDCmOgQPUmw2RXZLZGQnTQynliUY2ROpOpS1cwVyYCKCJTWRDkhdN2sBkY83RVd2v1joDhGyFACPw6VauzqRI4opSCyc9mi9U3QtGOh6G9lYnuN1l+C69DLB5kOkQFwtPqunGZS09Cc4uS5PhE7NI211opLu6ZkXkDOl+77Lw7kpRTFJ5tsXsC5ae+DawOkYjkMguABNJHN1Celi3VnFn/l80oxBq2DWYgqmbJa04iMTqehWAl7L0ts+XJc1h3qX2iVnGt1BOeOunqSmCUQjBYN5JwT2CF6bFf3bsvrlBudxaUEvUrKjOoDGYGA1GwIgqqXY5XnhXJWHN7mNXNa5uNr/AyBIDuknYEgOW0r1LE2BZEa22gQ+J2ITjDeKK4cl0Wt4RHDXmwmIPiFmRcmLLfExIbk0rrRGJ6BzvDQAkGplA5XmzeK8YsgkAaRBe7VblGVv85CuGRqYIL4M7EU3BfboY7TIt2abgDW/LTEg7ogtvAUz44rllMBX23RgVLyM2BLeIVmvN25iYw8DjGuD2Ue22VxLR7ZO7BWulmYC+4sI3yJSBbfVWse1uVi9vGOJzayDWjm7WpDBXpQd0hogOoldezVKbYuNl10xOAHPic0x70vYG8ErTosEB0cgq6JWsarzIMLDbPSeWrYFLbfbdg+ERO/EApNVILxsyu2OP/TPAhmE/kQS0Cwbh1bBKZmyfq8VMqme2iU9aUWajbKdmCaDWFqAAPU8LZA0Z2JmlKyOKnG04VYx4eIWBUlXFFa8qY/FJE5jy5BFNjn65eRM8Up9dw/IdamWKlkH5eMFWWmekZg/esmXrDa97o3227TUIj2VdcuklL/+9V9z3sac+5eVPe80fvuat73vrH/zVH7z9L3//Te/53Re/5cWPevajH/bUR3zq3/+Zb8Viie2XxOEHH3b1E07kaxI3z4NFFom37QlHHX/q3e932AGHQR575LH3POUe27ds5zHZtmWvA/Y+YMeOHfZAcCY2wwazCNEg2RAXz18BUv841rjOjw46dmKUJZareJlon2373P8ev3b8Ycd77qsfc/Xb/cLttg5bCJlpVuvjxZf8gD8NCVtptqkhiMtkmGfr88uxWM18bbzpDW5295Pv/svIbX/5Xnf85Xvf8Z6/itz53ve9y73ve8qv3O+U/F82B//qne79K3e4571ue4973O6Xr3+NGzj3TpmEVfC4jh5H3jjDzHDMwmQyNRdN/JK66IeXPObZj3vEmY888xXPfNMfv/lvPvmR71z83Z9d8ZP1cY19FYPY0DaoKzZjbX3tZ1dedsGPLvz7z//zq9/+mt98ym/e75GnvueD72WIxyFhbBfpM5atKZs08BZ9hDKoDK09NXgGTx5uiGW7m3Tm6LEmtgjp7FJvJDUceSTLtrISFADhTFueTDtIrUZ2BVbZLqFD2ltnW+528t1ee9arfuec173+ua97PTry2tc/9/W/87zXv+lFbzrtoadt37aXKKvI4hte++de/PQXvvH5b3jzC97w5he+8fde8rtvfelb3/7yt77zFe/4/Ve84zEPfvT+++zHj9I2q2iWt3h2reOu+fTffjqncTbMZjP+krnljre8421/4baD2Tfe47NrHH+tn7veDTkwxNtd0Q0D81riO7FAXKOwLM6SSozmfrXdRFFfYnDiIgx3NcNshwumqThtYyIMW2o7pFuDpGf2DgjDBCPWoKkRX/bAxm54DQNPBJxbee1/KEaQBCWae8Bkuie0zE5o0ZyCF0Z62+kkewKaWiLtJRlAwTjZTzRihwzgdNA17VqQmtnBfVTXmQaOFRDfpcXbsLF7b7WPXU3NnrzYU57MZRpMEwKQBjepoe0VcxDrKnmR2X1/NELlBksa8x6hR8zhYKbIKI5FHhKuTAEn8qk3rALRJQkhSN7ng1KhmBUvGaSMjW68Fq168MKkZ0iX5GQkRcOuSPeie0D3YCIwCEzXAEg0ZgfgLsw7kRtrYZ1E9ToTxRmkm8Kg46QTvTRYVkRiD1HC6KvOSY7PKNnR2tzgEKlFNqQEeqG1S+PI2byaE7/JJcgFwQu77ZVNHtm76h7nZVMCyMwCcWF0ELyMMbTs6KWXgD2KnbBVl3k8W0lLciXJ0DBDuiSEeESiqGml9sTTNZzDZjc2VNkeuBVgAZ1DqCAtGmybKAM7B5OwgbAZahigLSxPD91ENCrB6q1laLm6nRGr5iruEQzugqsL5tIFWJq7YEzi0V0Iuyqz81334P9Nu61hUwQrn+zimWCmDSJ8Le4fnoZbhhoWJs9MYxK7gUe+I2xmmrWhWio2cIMR92RlLu2hZaI+sDuXNezRbKRl+pySZbBh2j5wOPFdtTAKZ1EXXRPebcrwZuQlSCpw5cDQ/69SzRtdi/dFX0vXpprF8qWEqbLJzgPezD6+ijktY9nRAIQkNiYXOjfCdovSYP4jRN3Ubo2xu3GdKGpY8TY4Ukxbb8lpRBbX/4u08RuBu5g4ks/uYDfvKDx8hJVpzUu/SRrJ6F2EYSJOUWBgCs5GVhayMipeTS0xhE4Wt6QaI2LCTZa0jOEGKg0iVZK2xWQUOJ7FtYu5oMmMLKxlbzIgsUm9y9il2UHXhHLn0JNwhFJKT57tq8pmkg2ZYpYdIxM82UDLGDPPbnzdG9/plnfae+tenCdMxo6aX3zpxf/0+X96z9/++Tve9863vOetb3vv29/1l+/6q3/40Je+8eXLdl7Glw9pJNLyvtv3/vVfuf9szl++ZGuLZ8jeW/f++evc5LG/8ZiTbnDzAdrm59zJJ93mxGNO3H/b/r9027s+96nn3OA6P1e8UNq3E0vDMNiDqUmsovVUmQiW5RqLv5PM18c5Q/iDSXH+ZylYswO273/KL9zp1Lvdbyt/dPNs3+373ulWdzrxmKvvvWVv/sb13Ced/at3v9fW2Wx6+Njy0mwYNNl0pdxj9g6MuKqYZr7OFyfzw2e+VvO55+u1vq75mmDGnaX1gb+D1ZqQ+drY/5JXFMwWkC5C2lQ9ZkVtOUyZAGFY7vnaJPk/+SAq4oY60VxD+fADD7vhNW903OHH8ktyRslsju1hsGWPo6ll7bK1y7dt37Zt6zbTcgQG4URc1kBg5iRWcsROL0VbaejNQtUW/1rheJdXOTaXexOdMCWjudDAvgAPGrjdW7fy99BpwSnFg2eyWjATFGO7WKJs1IDTtGGW+YoVztd+tr7jpzuv/OkOZMelO668dOeOH195xY8vv/zSy9d2rDkv8UK5xC3YefkaYZdfeuUVl155+Y+vQC770ZWX/Shgx2X8CdT8y8KgocuB+x50x5vf8ZXPfuXRhxyVKgcPw8DvrcP3P/w+d73P0YcezUG6y63ucs4Tzrn5jW5B+uJmjiN6BLCtFs0ykAJKfEdcEEPALAuxh3T5AUkc06CNVUQUQ8XQdARJCkK796LZDVfZ5u0P06VKNoseu4l2CwQUvpxiwievvfDhFgNxFYNNBoKLmhhEFyARYFk0WDTJopdX4csKQwCRoD1djo9J4gtsU2QSEk/YrRHADqOXAg0mDr0hFE1lhDK6veQ3XC0tC4PBH83S6BbV75oqrlxXxccnUQb1D6J6RyltOQSAF2ESV2Jxp2sXWH2Mpfa7K3RnIPYsXqFNfhbRJJAlqg2H0eYW98qFEwvNjB10DYMMPAF0G7I6qRjSPYDVURJh7LtouNB4OwDvLnhDMsLFUEz3rlVf4nDmO0fPMHLnTDhLRiN42VTYwmAsGklIOki4Hpz/SV/bmZA4EWYgLREIZpclxoV0clV3sutl8GpAJ3vAxPeCSksS0MOmgM0d3s3ErtY4jlU9KWvf1dvtJJlCsktt7XhKvEtQkyZPEYlUSLLFJKaJaDZlM7pvIwRC7aUyaFVg7ZBdSeAmxCY7uHEDM/WSlm/DzAtLRBOUdm32BmtP2J7AMtqLtmR2BxS6SjJi1bwq/L+FUfsuw3bbHbZwNSQbsrCph+TIRCQbT0PBsDx2D77HALrgkgTeHUAixHfdAshIJueOwAoz3Z4vQ+ei02KANjeSt7SrLM8m5jSwe7PGClNNr+4AGYhG3KdwgwkLUkg+yTpWWit5OSrMVV59VNMbCTeiNydpYe34VabIRehUP6jJ5iGJbjRRkYbVHijuVUtImtartwmvBHd+QycCN0SfyyFiKYhnr1WnicWxKn0IzBKAV8W+yoEMcWvL+GLTqB+ZvoFkvYQtAwCMQK8I+ZGM6Xe5xadspeYlUGtE0vdgANIYNq9xU/LOleyBiKqmyBsBI1DE5qsThnIDChugqfUU1D/ZKx1jZf7rlFtXvWtYIhWizW0PjBajzHgwwhgCOwCzJVPR6ViJLUTG1xh6QTRBDYcfeMRv3v8Rv3T7Xzpg235btGXmLYOzTN6aPGarwjKQjJesfMc49IBDT737qfe80z1rnQ3Vfnvtd7Pr3/Q+d73vkx/55Oec/py73fbuM20RlY7ml8l1jr/2/X/p1x730Mc98/QzTzjyhJrn80CMI8CtiVYktoSIpSCpo/glxFfccT6O66PmxRfrvWbbjzroyNvd7OTHPugxj33waUcfcqzIw9eI8g2vcYMH3/tBj3vQac96zJm/8HO32KqtTj6rabakA+3aGJ8yksfyMJgAm83I9zpMJIu2ZoPcvrHPZhpmki2rtSI7K2jYIXMaS9UIVCJ514gfSxx4ya2JZTKyjR00HHnQ4b90u7s/7ZFPO/u05zzr0c980sOe+MBffsAtb/gLhx9w6DZt3co9oqDSOM4POfjQE449wfz5jskGiVNhdITF5Av1qAP22f96J173eide73pXu951r3Yd5DpXu85SMK8bbwIARxx8hJSqRB4t22S0DZhtn2077IDDODaHH3j4EWocw0EAABAASURBVAccfuSBhx918JHHHHr0sYcfd+3jr3Wz69/sl29390c+4JGHHHhYyYPZslQWgNVSsgMmZWE32q2pzWkcAbbpWAILMYGe2bMpGnasylc1pRUb52IPIUsYeND5OkckwiGGl7Zt28Yvq+ufeP173OEeT3zYE5592rOPPez4kQOWuZxJxK9A3/wGt3jQvR502m+cduZjz7zmMddUzraTeyxOYI1jtYupW+KsJrP2v7QYGsn8dNx55gfUggAjlIsAEBaY4hcBU6Rls6Qy+8cMeAGkCweZCVVENBASQBryQTKA4Zy9iWTfcGwSoia7EsqINgXTkcyNajhoCvTUKzvbcElIg3tQzVWtyNWwnrbHs1ik4/+77qmSa6OUPmpK4sZPYd3TmA7/P+l2cMSTxbTBm/J55M3WlqneOD4JEiUsaHY2Y9xac/bQPeiaxiQedxvB/iPcwNzNtt3lyU9I7q/xr1KhQ7EnJLTdiA0FvzBwIQtLqzjkYJ7cAK6WpgU01ZgFwthNTOsJawpjXjiEWKtnhsuaXTncWjSvzKv4F47WsyjJJLXyn9pphETUWnySW9NK8wreHVLK7uQqQ75Vc4l3uadXFbaMv2rAUKQvGLBL4Eb5lhe+gFRegDJqsV9mR3EsN0U5Kqul4kFaHuJaf9WKbDiJYwZPF4TA5Cx1ynlMQufuugFq4uCCiwIaE2XDRNxaqP9PF6NXx+1irrp2x8tgVrXqXfIhqTHdxsWuYjgLplcLNqiB9Cyzb2tjsvaN/CaemNwJmUAuJAwX8cvIJYDfRQiD6VrJIhK1m76RCqrLIqxZ3IHWN7XJaAy5NjKsDJzIJWMC+4ANzTIpeXNO4+ZCAJvEeUt2Ho3gRXcBr8jmlCuOPcNepOWFexPAS5VodoxTu4jZtSemSxwpYJkkRNvqBpgFb5x0nZl0m6LjXV0STsbAIyMGXSfBUtxatM4srBybXZilaxdAGLILudlkWsrYzDWLgSy/QRRhaKS4ELzsntTH4s2tVxoMErS8eBCqTGx/apY8wEbxzUsNoN0aJNJzkhwcwZVu42ouM2qD2oS8sFpgMxrVlVvXWGnCLNmesGiB7YJkCTCLG58VxeRzfUHFbFdxrJgSaSavwwZR5ZHfMON6XeOYa57x0NNfeuaLf+n2dz98/8O2etuW2jLTbNDgCJMyJZrv+IZHDt73kHvd8V7Pe8JzH3nf3zx474MJq/LRhx/3qF9/1BkPPv3+d/+1a59wrYGj1G6MzGZ7+2z7L9/+l+5zl/tsH/Zi0m3Dlr1me+097LP3sH1b/mdhKd7iOUywxV+ihvYxqrRiFclVI7tC4X7YqQ991dmveNZjn3W/U+579CFHwzMLUSrzi/Fut77rr9311MP3P4K/QfFHtkP2PfiQfSIH7LX/ti1bZ+IXkgfNkBkaSxpk/mOOIYXwb3TVTPKZAsz8zGxRHDXSmV8eTYaaWbIYhziYSzTb8oDX0uA0mWk988Ac7f/rphqGEfE2bz36kKPucNLtn/CQM176tJc86WFPvssvnMIX/Vvf+Nb3O+V+j/n1x5z1uLNeddarn33aM+9+27sfddBRVE5lhx96+DFHHmvJ+S+KXrQcDy7XOJ70cye9+KkvfPnTX37umS9/xZmvOPfMc1/R5JVnnvvKZwS/8hnwkXOf8bL73u0+VeyEs5PSUGaiQQPipEb5uCOOfdmZL37Dc1/3O+e8/nXnvOZ1z33t65732tcj57z6Vc8694VPesFTH/XU+971Pgfte+Ch+x924F4HHrDX/vztce9t+wzsgEyqodjFYZY9gZNpsE5yakc8mBtRhbasyFD8omREDS57UBfibJmIgStjcj7cDnmxCE44ryiNhYzFMTv3OS9nN5708Cfd6w73Omifg6BNUqUVN5xk8j5b9r73ne59/7udeuBeB9bIbLlhg6g5wraTWPMRV4aJQ8pQwXNhqNJHN7cxAWRuo4FIGRWZACbeEMo8gs64McekRAaTmA6nuaSu1Fr4Brpym55lF9sgLOxWIG6OMDpCPfFZASU6gNVapm6zxtoYQozMf6JUx8WVQhkIugqxF6GLgJWEC2pzb/IvCsazOT6lSuREtGwMWeLd4ttWLN0NEI80uEntTjoPATuoNqe5F8sYW4iac/rVreoMd4tZcYkQjmr4nBpddVtdcYtipfTmEjcy7o612mzLIbzS+g5Am0tya9qttbA+S/dtYEZALc8AeEMWUT2m8y1Vhxt6Gu6+aTxA6kO96f52jlGp1U61bUdhmrjpTSoUwxAVOOK0HhSzIzQ0GgEkHrQnwQvd9R7XsvQC/q+ymqHn3OOQHtZ1C1gtEHrVxL9hxpeF8+bKYjMFPSHTOQkiJt0u10YOTXdHfcO12pJwxcZcZOPNkJlypYD0XIiYmkwa1FrrMhmHvrjdisPNRVTIhkkbaXgPKr6c+7jA6VYuGGSFuEq4e9juDItcjl/FRCJxZTn0Wdpy78ZxLL5DcWBbnXZWhyauwqDyh1c6GISBhAQkGxebY0yEGHvCdgAM/P9NSNJDlqCb0eM4pltuPrev2XtU48pCmBpZDVuaLAG+mdkKceOziF0LTgD/+rhRFDcdiT2O7EkvDBNh08QWInbyYEyysJJtonivZsjC2tT3sFYhMUgL3rzqHsPx7yNN02IaqM3BwlXN275JtJOsNMy+XWMpmKxZHR3epc4RYFXYDbV+rJ6wCEx55hsNb8jmg2p982EshBrhu15wV9kTuZSrDJLclqXNrQ+Eq5SQiMoyAV3wZJmsqQkmccgSgPupADAFmvWi+yjCNqQyB65sQsNxhRMDO8mkaq0DNJL8LX4w96NvZguS8CIZq5x5rbRWQGbr3qUnVMu2ibcSD48wyyKaYKQf3QXX+pUYK2WIRnWLXRJfNHPxQK6P+28/8BbX/4XnnPbsP3vTn7z5hW94/EMfd887/PLNr3ez6x57zROPOOHEI0+43vHXvuUNTrr3ne7xhIc9/q0vfstfve0vzjr9Obe54a3332t/Z10DM2yfbTvsgMP5hqo1zddzkyApg/Nb/PCS9t6694zguQG/9YBHf/Dtf/VXb//AX771A2964RuucezVb/FzN3vsAx59+m885rH3f/Rv/dojr3+NG7gtWa3xbYbeLIAv0aOuduTVrn3sdZhu5tmYA0/sONjESN5r2/atw1Z+BWn0Kbc95U/e8O4PvuMv//r3//LP3/xnd7vD3Q47+NBTbnPKPe9wz3vd8Z73vOM9+FPMQKESs0XEHMxG1aJZHjzkloYoDX2S0capGBZ/EbrNjW/1Cz93i1tc/6STrn/StY6/NrGLAJnfdDxNNtHUTnp7OPiAg+931/s+/iGnveCJ57z1JW/5wFve/3/e9Ocvf9pLH/BLD7jJNW5y8D4Hte2baV4a2bd9jjjwyBuccIN73P4eZz/+rD9785/+3ovf8sj7PvK2Nz35iIOP4PZTC3Fu2SWV0+A56Htt2/v4I47nD4knHHG1E4682tWOOPGEI0642hEnnHDY1U44/IQTDj/++OgTTjwM8sRD9j+M4fJw2MGH3/Xku55611P5yXr/u9//V+/8K0cdehQHb9A48xZ+BF7nuOte97jroq9z3HWQax1zrWsceQ0SHn3Q0QfuffBQWw7Ya9/3v+29f/WOD/zl2z/wgbe+70XPePF8fX6dq137kaf+5iPv+4jfut8jH3Xqo065zZ1tK/8NJBc4F0spe5bVwPL4jYF24qK2cLu27L/X/kcfdNRh+x1+6L6HHbrvIftv33/g1xiRqnHM/52TDBXflFmQJe5pae5rHnut4w874aC9DxzwkFmDsl0iQtz71qm03/Z9t/D7lx2Uts623eVWd3nErzzsYU0efO+H3OjaNxZ/0MgkxDJMeZSKiYXNrSbV6DmYGkQjLXNVuVowzEJgGIsmRFXQDQBJNwUnSTVc+FMqDCKPsRvBxHaGNmZQSDi6vDS04RLNdiZNeDXVpys+NPAmM5UwfzUvaSoTJ9LiP0sULMm0FqZFDGCztNnFU8KgycOgCbUu0zWAAnfpMau4eXu2QCak62GAVVklW+GpkwCyobuAkY6X8YBOAnD1isv8h5UtYvqZO91zdgwVIQIhAyOssvGybzyCCPSo6X4lKhlZAzQhMbhlIGy8DIyOERfT8uWEGWNAco6jd7u0uBd2MjCgqL1Im4G7Xz2KKiSm0Goj96rZsEsjYOnaHeDdVSikCpVZUki7YEiW0OYJgO+icfp+GJarz2Kzo6wPQm1M+xcXyo6RCweRzlM+5ekMJAAB4AV0DVgVvJhd94COl2QHkEjHaAQTASwFs2foDCZgqVcBYasmYQh700nzoVOshZMQzVrxdmkB7VBpufbcGomUMMR3wKHS1DafvebmphM5+ekg0UjLTz9JvyN4TW61NywngTu4kYA8keq3WmoTexrf0uFeNcEbDAZiLwZgNKe9wdgbGD9i78pA7lE8HYs4WzEBu1xLHoDgRSOMRTDFCcSuVlnsXN0VzeXVesBsgmnKbpjoYncKUnY0DEIAAvh/kauKbDxTUFtKXKZqPBaHAxfPIDGYEeLSrVw9GL3JlXPDKCSheNNJDZBWScpRUBhIRItmzbTR+MJUzsIJ2RApWKITjamxAV0vwTDseceWYURuFgpGSGtn/0UjOXp3qTxi1JZ41epnFQz7hrDKwTyC5Wn4IszmWAxOqygvAtSmxvTEO20Pke1stik0tQS2C5sejXTQNeZSlotagh6DRiARgrsGQKKR4hmm2yxLr7OOVGWDAF2ThuVkFRKMe2tY7JFCcqPjYrckLQMAas0425vcbeVwAHQXr3jxd7Lad2GlYCrJqbOJyxtwGdMicREQWJWPzKB2kcFmSO60HdBozKlCe4PEVUljWsfVbHBbVI6inYEwttFLWViJaaP4Xstqkw6z8nmcA6PaMoyzfYZ9b3Ktn3/Irz7k+U9+/tvOfdt73vye97/lfX/xu+/709f/6Vtf/LbnP/4FD73XQ3/+Wj+/j/ce5jxKvG6Zx2bCkZwpHpuSXBRTYGh+aImr8LJrbc7ydm8/aG/+1nTIYfsddtA+B2t9uPYJ137QPX/jN+/zyEf92qN+6/6Putbx12CU2U1GkCh7HUS9JJL5tmvL4lGil0x+tGlDwQ9DDcXDzaK2a++9vQ96r9neQ205+vCjX/D0F7z0mS/mT3kvOfMlv3zHX+LPX2WJYa3jGxXTZhYSVrUPm3x1ZopOQruYiD7znnzSbV93zuvf8sLf/b2XvPWtL3nbbz/ot1Xs9qDBLF/jmGyicOYYKMka+LPPIx/4iIff92F3u+0v3+iaNz58v8O3jtu2Fr8Pt0lb7NngoqA+kpkGzTQOms+8Pmyv7Te51o1Of/Dpj7jfI2Y1UF5VsVqJeZJ+mObCFo1bTNnF7za2X6Mpec6IcCVuvaDHosyxckTL0mEHHPLw+zzs7NPP4hf1cx7zrEfd/1FHHXL0WLU+jsnGQR7TlNP38x8DAAAQAElEQVTtERaBmJOpKNtkLe+7dZ/9t+/HH7UO2Gv/vWf8MVNXO+bExzzoMY976BmnP+T033rgo37uOjdkkErJmdfpSGkUzO8gifurbBmV8iMATeFUizu1zn/hxrd431v+/GN/9NGPvftjf/dHH33pM19y+MGHZdqiAFFlaSSWfUEjjCZH0WGIGWtgmmIlbRI587PnOdFVpjE7YVRUd739L57x0Mc/6WGPf+JDn/Ckhz3hpOvdzCMPURUz8AeuyoyomhopyDnDEjeE6aqlYlJwE+ZpffjMhKsyJ4GM6kwPCJ6RxuLGpmDiMBGbIzElsvPNzNIgURP1wEQk2SanWoOir1LCq8+YAAYWDqptXYNGx1IC7Ga2+rRopE1RzbQT0CCblswN9wTtbjR7d2VPA8k2DP01LrVxXrQ+iuogOpYyiiFLBoBIQiPKVoDZEKu1Rja0m+quZTYAIa0EqR2YFkAez/FVPDXWmH+fZYrmZEAvmnukUTmIUMyOls26pCJDzOXV1tutsWWJYplQ6BhirmoALgK2ZuZPrUG5WpIAWXRaaYskK9RukAWlMu/maETzBlWNZmlt7SmKMR0rky7nrQWp3oqFc0Z5WAhhDh4NHGwLAliOjWl3nbD4pIxpV9JCq11hqswmF6m1aG5nmhNU7FkjCWz9pEgCg+72EnRzj3qXGIsE3ohsE0FtMEqEdms9pt8pcmIiRKGXgoksb1mx4c5cdrSq6USUHdx2i+mgJgYkiHirihhuGTrPo2rgRebWtLh3bilaJFwLS7/rRdlQlWe/xYy2BosjLlrmAdsWbNsRAI6F2G2aZrrprhruyumYwA6QrAmoz60009JPlyVEixbcJg9YkJQrysZcjp1Aim/h+HYRb8qAcyOOm8PGIuwgjiaGjEn5OJgNoFZayYPSxig2h/cCFRXRbdNyQ2IzTG2AaF7Obm1gHFj94QlevUwB5GShsoSFFo1S0EjLT1UJwlzIFCYtgXojBaDrnBsyF0tIGFlwKUMw2cTkDFlQhtJGW1a7mSYbsRIf/FNhSQ6sPjTZlG1ZmOFxd7PrpclLuDNL3Yd3062RrJtt2gaTsgF8bYDbuwMLtnJz+o0jblH8om8xfX68CZXwddGujZARF3TTxuYQjCwvlEOSKx12EztWcfO4mKzp7kETjF4VO/EwPClLr1MSk5RtccwyrdKmOwYEsUa84E3CzAyycS2FAFJ0E4DAYDJhx13DwOddT+dMDsObAouCTANVhQQgMNWHrhaJg/BJmpETThwDlxJ+9Wp58HaOxKxugaXpQWyAoulb6OApM3ul1iBCsvFuEUoZTK2ppfiRDOyS4mJgvJUzHGKsfDlleKtH0lhByUUcsynnn1HhzZfTuec7a/3K+dplazsvW59fOV+/cowJ2DGO64zmOSq3BdgtT+aajhAO8WYnKQ+o2ESZL6ZjJc7TpyN3WlKYfH4T2uDcfPVFRgpgFoZQXBunzEk6OmYxZVe+iqsEZjHwNRYLQ0HCiGiRuE0Yt0lkMWqs+fp8fsX6+mU71y5fQ+Y71ufjWCOZi5Fc/DEJzQASwJqUeVVaWazVOmZTWmk2M2l31nzHfH4lG7U+X+MbvGT+i4hWrMQMSQK4Btnkca34Y4vHmWowk8nEEVbBMNyMTo0QRQSVZEXDONe4Nq7vWKNOaKfE1J4wYtq2ZNNIlNlHEcQ1FturdTKRBd1mqwSObF7ViIzFbszn43znfO3K9bUr19Z3rCPjOBZCtnE+FhBUpCwN4iQg1GsuQXIV5aQajgoW6xOBkMWdXatxxzjuqOJPQ1SRakeKEJhiJLGfhAouw9u99qj5mJalqlj+fG3H+vzK9fHK9ez8jnF9XvOxRoTtJx/fi8GcCIRiSE6hA9ktSrRGjQaKVpmq5NEUGq5GCaeVl7Bqvcb1cWy65jWOlWREMCxSSuua0somTwkVL6nSJWTRVzOiy8CsNcHNWMTE0Xz8STiRJKbgMGwLUiGL9ZSdWO5lEzCSlIWHoJJxQFQxukmNuBqJicdKkc2NKu4Ud4BhktXCiGmj8Sa0rN5qgSrldY7ZTHwzKI9QpFkLtfAu7NYzrPNEkw1tLnYjc4oy1FtY51ZRGEx1NxuCUE2mhmtO4ydB07sqL1qblEgkGVbjmoub3aYwunoZDJXFp5vITq2VXkyJg7AlyFaRFineLiLCYDo+j0SjTvSKjBPezWGbDW719JBFZApo0+82hLgWnxkbgFhdYHi5TLVJkPRSIyctGl5m6KAngakWBYDv5BJ0EnMhcwLKVFvsY0vFZMBSm4WqCaAEY4Jwiii6vl4Mc3UhjILxieAepY3mFlg12g1tePaMbA6nlNhc2txsSPdWVNm9cB1k9mIsAQtic18xu3c5vAOODUcm7t0vZ1ibjaErk61Gtt3HrQBSsre4ezAYBhMBq0+UYIji0aCbpMVlOpYyUVPXU00GXYtMTySpuAuk7SPdYoNb0fDEIdlZjDiwlI1Sa0URSTNVRmfySWhS4QWI10/E4suBaO5XtWcI3CRkQKuOrRiTi4sjDo1302olGNIT4LJjycsmYUhypKiamMIQpXJx6CKgYohawRiC5JSyTuakDIR4RkdyqXIPWp6oUMQUbwVWgqsnCi2RNTHUB0RgwdTSJMO4xFD1hlV9QD6NsBpNOfRYpckLdg46sSYnIlxVhiBUU6cNIG1gy2lNi1aWIi2NajCGaOmYiVkjYRe7H4/YqMoQQjpuljCbACgKSYxoSYKn8Zi7i2Ub2o4GREyjIssDV5jlZQmRd2lSKG1u7a70SjKmO9ud7LCvrGmiInmd9RUtK27uKT5ZWJG4OSbcfRMZgPSQFZ1lE6kESraMVhqMTEPFzDUYLwDt0sqLD0Jlp0M1ITYF2G4JJi+D5SitdGYLUhsOymHerAYCUWtL0CMaRwEmKXcRYSaGMVjTxmVEMzMNoxiCibS5GmF0xAkpi44crQd7pqlBIkt+FUwRySR1nWJs532iRrV9kMCweJVGEjo7dSe52QGVOp2uFO0oSW5/zMg3ZrGEQiUR7yeglKCRTIAsO156XGyjLRrZJL5ZatH4tsWK827kX+jb0CQxTYAhr1O5DSWbS4EkzIBWgKZmjbxaMCYn0a2y9NTA92JlHgKSjbRWYQCmbyQ2qc1RgmcA4yiaiJhkhkpm6Mbl4JO/qoHWjcHSiDFOar42ztcLyRdovqFXJaZoc/KNI2Ftu6mE5KwNkPRc2IQs7EHDrHInqddpxEp2RFRoKZDOZQ+pnG8eyYHXlXuCT7ZlEmnRWn6L3SRWFhKLBNxnlTzIRkq04oOmWB/iEGBY1cCmUas0G1nWqOwWK1OuYsPo56q4qmnhydJHgJRfnA2MhAIKb3YJi31KDbIoohpBAHMWr1XxZyi8EByhEa+wjJPLxGqkDvpiccSCMkERRdoivnVlMXZkQmV53KOx82MrtUZM8lRvzjjFJpeISDw2XoZXtVSiZxa5zaWyGcBaAWFw01GnzH8kDEy32Gpoi/okm9orPiBS8INyDCxaSwPVDOwNwYNQRBubZGOxkgQQDx/UE4MyntSyWv3wkZGxSC+3hVATZInlVCuMsYnUnNXhgYdBqjLKtACRGFttWuZhiEI5YWKo0jBsaAJiAvsKTPWMLBuKCycOBIAkyVgjownCJgOaKRrDtKnA+BqFUotoQDQSgdFg4SI8MzYiw9xR0+oNugGmrmLNmakmko4MYUCJKjCDS/bESEug3haeFb7K3HyWnmIE7qcpgFSVcUT34hQ/lmjmgW2LZShTw0aIryQqssBWUrexOBkUNp0CLCNVZMkC6dRaxkEmpEP2HJvVNndTdmYB0qNFqjaNyhIG8XKOr2iLGGCXxIDcWgDXJKEaXIJmSdhKo9ReaaYojnH6OFjIhvDQUrsWPrUZ2QwixKmejmLcHO+cncBkWbmITY4w9BH1PKKRkIoohoFgmEio9FJQLu3aCF7ywd1vLz6yBcmTr/RaNneTIjrVamt1V40jL/1UAtm96I7zoqNA7MQqqtJCbFgwGAuu9VW56Qxtd53eje46sPHyRKSzW9kCl402TTHbFQUpmhvGi2AiFhSztBuW0oNjFB7R+ORmRs4c68wqoBBbfG0ghLOHVmvFeGIjQJaBh/tdzIC/+krzvaTEeCgRYE5790gcExwWNql4bQXGCsttUrersKEl+mx06qJXGYaCJQHCilZSeK70wpwqTMeUSmOoyAa0hiZ8hJtCRH1xpmNVoqpM5cEz4i3ztUGZirxDS0GUGQXZxbCWZFKgzQhJxpSgGCflaaqhTzyQTZwCkUg0ylT2HzsW8RYEquKSsiSclQeq9VALIVo2sUSRLyYdXm4nRnGpPO0CvTTdoGlU/BmdnhSIHbupTtrZCkhARHaEy2RLNxGiQVFigB2slsNmgZAED0IpLrilt1hbhP0iEg/nDk5qkR0pjYFZjsKzRFGwGtZVtORqriLMaQypktiT1pFOkvMfFH1xSdgS5SitusXIXnE4LtaCRiwCPJheIUnErStJpsFwaLEAiVB1UovGwMZPNjeQgM6gGTuaXuxMj8BAwH0HADyGImYaaSZgOmIQcbmaTkSSWHzdY1SkeeTWylSIVBysIesFpjzHBSazrASQljUKq99wrbbmjIu8Mpba1ZRkB2jRWIV7G0nNDKZj7qxGDWLYjKE2tExthSZBu4WagrDF/ocji2QzUF1ZpsmNBXXQV+JEN8LFCJDoVAE2Y2y0tUByaxoGeQgrmi3KIAEpxM5QfXvswXjZo/AtrYrtL5mx7cyL0JHXKe+EaqFEWTJ3KTplNNNyGrdDRFR4gFWwA51kKQDb/KKI6UYMdkZAABAJBSWmFI2q0RQdLpFUtChFDXCPSpkjbzIixPRFz0g6PODFoCQhninUHyBWSUSjRXNeQYnnwqzK6WUa5se02NJBRCNKI5Edo4q5xgK6qWFm2YMJsmyL6RZJKKCl50iRvrgVjGY8GTJVseFjHMXfwvJXLeIWMS0KJSYpkTVA4pvPWCOZRnx0hbt5cWECTTRvdx7YUtpgY8ImQaW4Kv5KyVTkqiKEK78xu9l0ZQp8eCr7NhaNSMpgU8hVxd6LqKJeCS/jxlofPRbPBfdokIgWjSToWHjExXhE8CwezZ5hV8Wq0IQXgeQdIUONIzOKe4SMhR+f2AwXk0RabxlXJZR+FbPJytIVX1YkVPIQXOSExqI2lcwaMh0cmCxONxRlymqNxYLM7U248DSxYWMNRruUU6Sy5LEFUwaZyx5nhJYsm7sj4mUMsXGmKc0oF5of8R5gPQiBnR4rxuN2jWgwkbblUlul6LOj1Jod9IjHVdO6p5lEL+K5GCqTPwKmEqbhH/pt45VpA0mCW/4B2iIMi6QgW2jZlsc4kthKK9iSMOLko3xIDyNayivbQjAnodJkLu5OY2wCphEQFWgbiHDabSpXpjU6q6ezxJpxKbVUzCBWhhMUGVBmHF7ThKcYxT62cDywSJGikwnhwk1s5HDtagAAEABJREFUQF//AOEi0o2uKioyRsRpiuLSxGhq7v3UFTNJCRNt6KBp1tJ8S6cYghC2IokiDFkhV6HHZiVlG2y0e604LE9N+drpwoZuMrAxbAPihGng7edWYTlktSjBAGDQk9hDR26N4G42wFYVdGPoESDL2ADYq9IcTDaNcp8KIkFTB7TjsEyTLCabnCQPgndoPO6toV4/MAKvrMgYzioa4W5u5MHbJcd5QsR4amTgT0GZEx/HtSOGiyCohXS+63BsjTmCJXTKZ0TB56IjJboqOWy3Pkc/wCWqtWVx18bFc5Tb8P8j42+7G0uSJE1Q5LJPBwFmh5P1ZYMAPfecTSeZ8/9/3XYRJvOIGuiRPWOu10xfREXVzC5AenhW4RE/BEAAdmwc957cHNXBhFur04Gh0IfTJsIsFHiV5RlssHERI8qbY/Ej1pjk8ok3doNeh+pRh8lKaBwmAMwSDXCEeCsUJXwQSJMsLVZAPZcc2NMRlee/OmvizEgOlb2YuDZPc83oGj8Qm9qS+TlWZtOzrEOmZTGaWVIF41sWCokmeJgP//6OpWspNl7i4PtTi0U8CD54+4EBEDEVOXgmkhPt+ywLeoVH7mg26Yg5RXaPNr6ZDhV1MHFSPhajbJaOZenhf2gGRAk/3g6BtKQ++nvUZF/b4VpVRyGFom2nrnkM9Pft09Tgc28vRBFOBmz6MyqMZgAQEagWK/u2uVSAXTDVLSxxCDw9O6XMB7njw5hcMff1Ih3mYu9P/eYtAqjjiGxyQcn8J3P2j8DVqFbdh6wpQX7U6sRQpMOYJizGIdEVCWZgh00F2CIeXrZo+6WIt8kbPxXEh2tJeBBLyFbkwtA5vopzQIIkTBUJD4SWCmPGuxnsB0zpHnWpqJLabq9E+6ufcUhqJ7bEw8w2FYsQKZs6uSM1g1DMQXViJR8PkZRBdNXVRsmQQ4qCsBFyOieykZBmmzm4YKIwknqo0F7aicJPpoxX2rsdZqho0nF9luYlKVkpHU6XQBYBCm0hBQUMQk3LmiqsaERvmLsFSKhrH0ETAzJmYLTWkkcn0RqlJM8QxUZUHNOUF62E7kwIcuE3usSWVQbRuzps/BQcFN5juveqbVEY0MH9mjXBC56+mAHXuXhTUnOxT25ZDm4cxjZshsUSEiIs6O5fFlEDTr8HvAJXZ2RGdyEGSKNPU6JAQvEqLN2vdPAGWt+Dg5bMH74UBcY8UenbFB5jtIzjQfmwGMWMgr7XybEfHh6YDtnHgw5YQR58tuCVNZ3SAAdOY81d8LICZC5Iua2V/ouVWEGNkHr4uG3wguaBa2krqHrQkiUbFhAmfv/ZeQSdfwCr9xiiQzrWvDgeO61CIjxzPQdfOEpjlmSYH6DIwyEQ8qEOFnOyK+HawdlqIELn3+G+RNnkwIyS24EOVIddAG71OXCwY3zGZJFYdZCH0W9X97uQFqA6LMbioTvliPE8NB1D5KxgkO9DWsRcpXAJj7Q7FdnhwHg1ENvC8yVqEFBB0Iwqhg+IB2PYiKBbh1jEIs7byiSHVdOUZP7oEKOnJPJUj2w/+LAY9rI5JetgvbuEIUs6+psOpeGH3OYGOY7wY7Ai1QFrZE5mSbs4kJtli0GI2RFl8CCgMoN4m2ZRoyCPFMuTcaLY7tkKZomTJaEYqYBUNVdAILTMTkusHI0CPUgXo3TWQZfqKMir2iqwLMO30W7iQRT/4ufUIElhV3bxxIluKXNiW9+1xEhhKudWQPD6hUeGjtKxjT0YMVzgooo4czZKXcoTqM5idj/SMmkID3xQSZH7x5omoDKmugW1CumKS8SMAdwdQbeA2BusPWw3d6ro+8xQJF6DCYlB+2ahh+EZXWLBRFCQbsimZxlL/+eIbQohKISRAmpsNYTwBGCKhFYmZGitqCoLB2ANNBGDaYUY6ghoIJW71yoLMGTUwkpQt2Jb2iKGW7qr6ifMdmyL92GYLXMIpRdnbJBI2cRVtiOLQ6wiTZshAXXrsRq96T4wq9lVSHKrw4ZsPzM6goK0GRYNGw24YxydGnU/QcJdh6qgj/DJEomjV+EZyXFYQpZbHSVmUh/9x/CM7UAdhSMBbGu+sXQf6XtqNooUwUH1FIBZ7Xw+Cuy2+j2F74IDJh0P7uDVY8+9eeI2utT3gyg60n8Ocj0HNZSiDj/YKIhdhXRRGluGsC6Qhq5IPiuHRMqBQ3zJFYeHuLltNlTNFgXMs/rTi6Pywe7cipIsyW7nFn7LMKgvCL5Dxnsc+h42tSaz+aEKkYY5iwRwIJiu6YeD01pku4Zol6RiyAHHLLrCxylCayyhIulmTS350GFZM46H/3FwvAfz//D0fPiwH46DuYgxzaghta6mW/XNiGzYenQPo7RRe5NngGZwOPoe6Nl6UZA8uBUx6HD/dkLYtacHohKWTHvdI2eDmSKEDp8JbQwHxkFLsgkhIBF+6AsQUY+fA8LkHFSGwvAcsjp6qC7M2IjEURwWf0zcRxo4ggPz0AMzO/Wk9FQaBmk89kR1FAPorhA9dsio0xavB2dBG+YCA96GEIklhG0KF7AeMS4M4x8nU2EtQIQTMIlASxWJXDMIWe7ck8QvCTcGTipySii46I25Orm8cjYeoiq67rjvwWY43CoUMwNC7S50cI7sDA/YIdl4afADpqhifrFCgYY3AUGvNDeyjv0pxCTF5gMFs0FLpoQ66qEutnACjaXD5AafNRUTSehtFYXc6ar7EmBbat3v2dJhW4wIMFdTtYT1e0Y9CueLUpAO8WkC3WIBK7y2jjuPuNkc7qCWZfA1tYc76Ep0zn7qdKcwI6jHMe8bR1qDx/UzuSeDDqNkNizbwxGxmJk292bxI1KxK8Xi57f8iNHmtUw6JqLpR/1Rt9+80DltwGhQ3STdpEhBFUhDjJoizPWCav+xsc2iKmqSRhO5k9/gxNWRwl1tpmmDbscxcDpb9NV0FuK31m885LLSLyK85mH7LaQZtrWr50A7xERHktbow23weBB2lPk6QxlTZqDN3FzC6OH01Bg3btw9JzOEHfwPHE8kWj4Elu5gXagtC2bRJzCC4de/aYjfsmnmRlfGzo1/I+LtSLgv9ksqJEsHFUroh4MN2QeNmOqC8DgMIQqGGBZ61EFpmmGmHBuvq29zd+lFpNM4pfkm6y5lyMUIFgffbN1WqzeDjsLv4z40MMu0UiTdy6JRaaXn4MYkwjhHtzTNyvIhE+Gx9w+jA49om75otWzdhiXxBF2H+RcbgYmEPTtJVqH+Tgkxznx2aOtQR51o1BPb4ElYDTHQAuDA8B6H0+40se3inGz2y5dVN08KftncFDNACKX2dKO/NkQ2xS0Rxy80ah7HQ8KBYnJlOVjFKFETcNSiCi14Rt31kUzLaIHdsNEOWy3XVJRGJSgdDEGdB5trqsoDWuxD4RgoxB6hCdAHSUbMBh9kBi9kbzyZnIk1juXVsGYGjtgyxV3uA4RmcImzNkZkHWMBCuV9H/Eh89VENxNmgsDuSm100Qlmy6COEMQJC60qdNKXsU6RyPZJJAODj4pIrGYUxD4OfgvyDM6Gu5jr8lQSYLo5WPr2pCySZeTgttTyGAe28JpzRGUxJvsS21F1TOlQh+0uPN5RqMsMyaElKnsP4QGK0cak6urAs+WwEXqul11KYERM5NpjMrMXvjHwI5hb2kw71FFv6Jz1wdQPR+bahDjOihgLE7cf7AdMytVC9yFCIvOQWSTOxrLpjXuxZkDowg51EMKfqnxgsqCqPg5OQJCJDGCtZRJBGFfTbeYlnBJuiRkPKkcRmywRxZ4ZXa7TgjZTY3IlGZ/6iKOXGfhGl7T9HB2cWxcjQaccDWCxwUwWHkTmfQkAfMzq0v1sErbJdnbiRMxhQmJwLJIlTQCqrlL5mUbZJPj7AeH8E2X2hQtRt6BsgjUOLHXPsCBGlY6DHsQ4DndWL4Aes/olHRsnlfjCRiELhTro9H0np77VP6KAfahMwciUhaKiTqDa6ZAsIJuQkGGUuk+1LbsHB4AvDGYxcPnejtAT18lT4UNTKl5V4fbiIy+jMZEeG71Km0oVkPiQqSbPH8VsuhtrQJyIj2mJnnuaZueozNKyZBuw5cUJJbbw86iRaPGlZkWWbXgU/nNkIvFA01SemlnAUiwxAENgzTgOHztdAsFOqaYOaCYZ9pp9JueYGZMAZUmCXTIF1ILUtqnCV1tN4Zz+oa+uGdFB7qgzldPGBVQQS9W3Mo2sgTGt7bS3zo4Q6lGxsjgX0dBqQ8XQzmJXEkbC3fGLDy0Vw0OViM5JhYP/1ggOoLDRYF66DzxbBy231dhAkY3gXTqCH+D405OxTLQuEbJcsbSoSgAND0q00EW8ZxeZP5qQtZsRYzfA602oByXhAQyGKN2KDZag1n7YPv5sA0Ls3C2WbI95QwYRbSeEwywA9ZDS3UgYNlHPoI3lHinKHbk8iTjpDVqHRDOb1N6JwEKAW9IoDkY3NfZvhbZXODSJtJBeZqLloZFALrrgCS60ehzD2TaTAmgGIb5ma2pQewywSOiplZgovRTsQpbKgJmIHQhntTRWg431Z2htY6c9bj4QrjtmKI0C1sKqrlYUeLW3AtkPTgUaKap/QmRxknwDEqpIGrZ+OtKeJsFaJtKzSqbnXV3sOSElaRxNGx8WWxBYfRXFAIvddIOO1JkwIcuHfYjVVtAtOkD3RAkgpGDiRC9KQq9nqDhYvvpV23z0h0yHKhLn4cMNikFa1TC5ZjpVYxU9qg7J/JFIldBoPwxiicyPulYLEcNsA64ydieZrtI3CkXoNspislHCxB6Y4WeGuU3T4yQ6a6RFQQtQYpJCkgQmhKzeIbEqZGhVMalgQQLTsdZhBlfshJhlH0JAV2cL8jDarKmhgwW0qoTmtQc1Y+xaBQtwV9i6YHYTtsW/cR0PFN5f/kYzeRYhxT6YxEkDxDe9LZl8STaK+mhh6eAn/FRd7JSm4JEINfeIQdZjfKrCSapKbB91YnTnxKYZy3ipjXVYx8HfWCTAUv9eNGh6LbsYQeGTRDaso9MFIMQNy2vxhZ+oppgNKny0I2kKL0n8UgFLBd04KnArRLa9gk0Sh0wpxKJLMwLP2L2OJgqks7xkVbRsVjNqFw+vOkKimFh6Mt4+C+qqMgEkrWpwUCS2RpikXWUw5ktuxeiFLlpQ/8KaCF8fZ6ItSLW1cHPGFkRGEfFIMsKjDtu4ZRo6mDBmfrCPGeThOFJQ0gwtZvOIk55lDGJIYSJB+NyJPg7VIVnSaIdUCTXHTlYDNjtTB0oXAbvXFK9gYT0nzbQY9WC1o9aeHJjNkB5iAmAN7XhY6Y8TxAOMohHqlGgvvB9h4J+DIgS80aXidlggQ8O45mykRQ11JMTouUBgzQcZwjzAmlXm7dR0TuTem4oXLZcKPayEPL/KBmrTM06EKC1JdaKz0gPw1BBTOu3HoSnXQcqy51NW7P6MROyRMByS1rrXR+8uoGrDQIjVNw8kEiGJT0Q0TVrooo1lRf6aND4AABAASURBVBU+UEi2yZaFymOThtSj6p4NjnvZeKYiCKG3icB3N81eqvaQWdkRsb63EiGUfUSSmitaIi6GdU+R+dlh4xJvSKm3wZegbKspOwcPbADphzbYizFCCsJOe5t18JBnN8rGZyUFEjOIas6UxOwUvNYcywSlcfSMk6BrBhD7OLiv41C9ZPArd2MHE5ZEDfHtt1deM5kIk8U5hShPrAO7huAn0lTAc9Wsm4Z5ERcDH0CkvDAsKFiIIHWLXlmLIwWN9pjFmEqGDAgzaQgFR8wsgki3AH1Kjen0teQ1RGTjgRjlkHt4i1KaZ++WzRTSGoZBoMADcKq2sERu1GEBjDmSBhZkWrzoeMt5b1zEkIRQwKO74foNFeLUQ2CHFVslDS7bIOXDPlA2cN1fJkJIRF6YJdk4RN7dFL3z8mOlqRPckDAASvhGAIjBG4aQ0NTUOdE77Dvpd4X/UMTJQFCBgQUS5+/egguL2fRviRmbDlGNNhXFzs2Q8TYFCrRaXAUofMbC3ZmQ6qw3UH03jK2Ojblbu/s21w/MdnIs+9MOmo8i+4EZIFF+m8FJV2DQy04JbMKiULgRyChBZ8xtqwkyA6Uw1Y/+LZnQPevb+XvdYOa7h3LI3aC1tnC3IM/87FK3LzeJzlnoHH4xBkNvCE7mLejAqguV1G/a1CSp0R0eY7xUEf7fghOdIgDZVJX9DIlsou4QCpHDepDsETAIG7ItlhrumCPF8/+QxnGZi9gtH6qKi5WZg6C/7jqBkBiN3ztEO3jTZo8GRQZwgugFY7AFaPmagorvC+YAZ0F4J2BoZVhBVTaeIAZINgAxc/XAj5BPO6SkMNJZ0reOFamXpwnKRMMgILxdyISwGo5km5DiMYMlrUJgymB3O+I7KO3YfA9VHyecMKzqFKm7uWwiEOLJVJoSQAsjtkoJPep2Eocar108SbJRC8CLQFejpE1BL6ioHGZUY2mOO8WM+5dGkeTTjWlAsr5HG8Eqa2igwDIb30BmDbkoPWDwGEDosu5t4+oXcB9AFf6diqPopUMZ8SOQk1QBivnRqEYXPM7iR7bn54UGS+0ywDy9Usg70Fm8Qa3LFuiIjyQcw9IWSG/TeHFltQQg4CkhIVcZGgyISbgL2NqBV+KXd6YIj8w5rnodBi7SqdX++4TGaYHXPJqJghTH1WS02qQ3heUBAsvuL0+CGzeGrePADSGOZUazhwQKfDVZKpIr7IgQatuU6gQEAFYCi0idOAC4VravLzAu7YEWcmme9kfphtgpiRovyj2Fnx07ac+rC1G6piDFKyvm28M2XHhnCxRoKhddRFkDowRIe3gCWwct1TH8xuSvTBIunMw0Zcacl7gcXo6CcIULkC2uL5JQJO1YjxcVg0h3J9bhDXwhBLzp9dN3IQ3sBKlR+pntqANA940KjCRoRicXEBaA0BrMIUA+EtviZ139kjDgZ+nf0zAldM0wsxmcC/xzpC1XqiZPpz1TIJYBA1QVqAoSdqZcG6AX+mIGeZeE7YBqjjr1O42MgK+pDupSPaleQvZp2RLCRPMoRJnxdpYO01cOwtopTW/P3lmrjGprbjxoTXGjVciyq9ijji6ZwVz4/LiRxmVAYWAMG+8Vn3HNIDSr6JBdYVZqaJSMCoQV+VZwE2bePpHa17VF1HE0u8UwADIjv4uig6xpHxgjwLaHdrl+7kLuKeEnTh1OEuUwtWSJILOkOwOMGJL1vXfdB0g0q37TFJKgbCcK363od4LM2as8hAS4D/VZ6pTHDRpkffPgG8hM45HwsQs8iIYHTyYdhRMvh2Rb/cPE1lodP4mcxrIP24MxA0USin3fteAtfR/0LUTHLhCicDU7wBxBx4ocS7eb/vum/718W8e6HbcbM/98jcmrzqy1jtyqry/fvvx10xdgYF9Ekbt5W+Qatq8FWFWK1Lp5S/+3GfXcMTfw8Czdlr5uvi0z//eN+fjvm5q+fKMK6SX06ix+WN2WFoCatHrcqui/l7+W0b9uQqFn9PU799ZQbsJ5S/Wv1f92WdiNRHj81b17fQ3mi71k3VroawXOVodte+BByuAyrGb9d3mg8hrlhrMbFM3coq+0KCS3G3W33lMlWobA4yyvL5MO5nYToa8yAJ6WiC6tQWoVfIuDrNxWMV6HVnmosr5IFwpbXmR9y40tVAemdQOQ1XQUSujrZoreuI6RW3QDc4O/APC3la9VJJhv8fouuj1fAfPbWfDKcYuJrptvEXNWCf/urV1NKN3REIrobXm3V/wNqnZyW6Krr4bwIMazcG7O75kU/Ld4kTj8m+qrSBMlBZ25bDfOwZpQsyCh1WYJAAzkrnUvtAqjrnqnkC8+XvRZDyHkRm+c2wrMk6u9F/w3aIl+QQvbXcB8lXwfPlRIAbmZPps10fU9Kw5yU6AaQbktfdHJ2rvoQSmQbElubY/7pdatutftXoVXJYvoeOqsX0NLReS22ifKHdYQpZOV1cTJTd/qtfo52sxkreVAiExj49G8wGr/ObIEZnXWuiFDiLI8MGa+2jwbcZbJGr+yEOcmlEn3Wghs3Ti6FodvOG+3pH02ik4PzGtp87BUp8OeidCDvpxlcnmTwWdRpbS3pYW/81bC20V0BRPhlDgK9XghuWkxL6gIIYa5YJxfhLKGB4qv1Xv/WiR6kbV6j7fltfw9aw34tgT5uuV2K23ZljgTLkuLw8SJaBG9KTfAIQXYFjaOclsmhDKvtMIL89W2w685sI1Q7kZ6z03d3U2LrAnxF5Q1ZmcUZHktACMx5GMahioFEPLG08Nt0RuNpZ7mOi1Ukx4WnljslMZu9019I5XuPWtpLa6VuWf1RQk+ViNr+baF/rn6mP6hRfB/rXlL+Z5H4VcvlK8HfdXJMeZLt9vD7XZ83aBt/7kR2uLbcipiXtMAnrWMoNwgXP6iBzpnhuG2TQDia3Pdsm4o7fl28+2mr0GSgty+pugXP8VECPm69Vv0trRi5krEvJb+T5mzutXJ1WiFWlkBw1G3RERp9MV54g+hYFKCH+W3L1GdH530lhsxAyNr3XJb1K2Zbu3+uca5bv66aU3/IPEg4PGs5UV78NxQRlCQ+g82EqJLX6snuUKzYA6+f76+WusWNmjeH3r7uvmGs4W80Cu6LbXzzr5Ne7elBRtRnHePb7eDlOC8GWW1/27z9t/+att7Frk3Utj0TbfbcVsPi/m/9YVzYfqrnErZAJTqVkJ9DfMNf3CCB3zcRqcZ0c+qf5EOc9rM13JrLX/djE5LWf2lAv2Lil+GGcDXTV/NAizSFzyVMgDABMNc4YIqXjdzUF+LlArmnKegWl9eX7xR9ZN46zn4C/4Bo4C5YX7pf9+0+ZuOznvSGaeo9X3m+e8B83vOTeb6bu3NCydKQGZ0hcYWJuIshSjvXsQR3Rambm2AaPWJovO+5cZ1L4r2ZNZk3ZFJFpji1wJWWi1Mt+F6SNeaurz/O3exhZuHwTCz37W0vmn52b0Wv+PNxX07SanQ3k1fX/oiPSaFdOTrJmbkTnXLBq/2bAqt5Vuz9O03nkommqP68opzU1Bu3QiJyIR0o8MvmlQZiI6sm9dqM4uUVQwwBPNruf9fY8lCZvs4Oee1+OZEvG7Cs24GiXCVX2WgH33rKLx1lPC66QYhVaiIHpFbTxVg840U13OblJBFiloxLVH8zRxCMaueG41VJqvKcIbeUEQUoSVkkbjwbGSZ16LK/aUCVkmjgG8Fg6lUbz/kIgXcVufw1i1OuJhVhaJHWvpvJ34kw0ZWpsPbzPj3vsbplWZloRxa9mDyPffHR5R92ovq3d3qmym+yW/8RQs5Lv+6VH5dru/Xt/e3t4+36/vb9fPn5f3t8n69flyuH1ecbx/obz/fr0RfPy6vH9fLx9vb+8+3j59vn//8+f7zinygI/+8vg8JVMgnnGT9hPPt4+3t82cJP/95JQQb87/frh+Xnx9U+efbx8/vNq5vn22ANt5IQS/gDSRCY6/vbzRQznecb2///vkGFfL+c5p5Kw/mx08YLu+Xy/v18n55e7++ffy8vv98fX+7QPuB+fYG7P3t+kHbP6/vFEV+Xn5dr5/X68cVJA28sbX3t+uvy+WDVjkHsjb4lULXcb59Xi/vlev7T3ZH3VHY+1sxEL6/9hg7v/38gKTVr+9v1Hr9ReKF9q7/ul7+hacpr//6C/P669qsj9kC88eFcgidvL6/vr5fXj/ok+hfl/fL5fN6YTuV7azn+vn2Wkw9JL5+vjF3d5/X67+HHM+W97d2XvDb5eMKYUt/vl4+Lm/I5+Xy78v1E7lePyn0ynz9uCKXD8BXTApdPif383ptq1f2/vrr7fI+hX5d3t4rr5+kX5r1Cez18gsp5trtXK4fRK+03WYKeLswv3Pm+BsldPl8o1zlY5CfP2HDf/28XD+vlLt8FP/2wZm3zzL8GyRyuX5ciA7+ir8KJB8QXi7vr9ePKx4Yru9vwMr2ceGgXpk/SKzgRIAxXz/vnrd/X97a1RtvAiT4t3L5eKXbCzAa+7y8fr5eP6/XD+Ry/Xy7fF4rNbuFV8Afl8s78krF12Zdrh/I2xXMgF87N/H6QWl4rvCU8/P1gufzjW4vn5fXwV+Z/01LbwV87A5b6PpBLrTXrbQiyI/rhXd4erh+XK+tfmVTb+9XXgDM68ekfEJ+odaVQ/ugE7qtEL18vl3mnC8f9H/v5/Xz9TI9v35e/vog9/X18/rXx+vrx5XQ6+emusB/+bgir+/4L6/v+F+5kcv75cq9tDHe5LfLx4Ter9/4y/UXnuv18+36cUUu73+9fpB7uXZ+vXz8dXl/Jev6cbm+X94+KDHRd5RrG8PzeSV9MHjeLp/kjmcS6x/yyydRQk2/fLy188+3126kDbzCg4D5uL5+vF3Q34t8/WDLCM4rDVze314/r69lpqu3118XPAV/AMa/d/F6/bhuuXxcru+c/xsdXj+vNalIOoLCZX1eYLt+kI6QeEG/toH2cO1HA//1+tn59f0vGC5Ea76+8tH7KOcFnpFXev5F4iahn8sFzzslkP9Po9X/ev3AJPQXhDj/KsnrK0f6qyl//Xr96x3zldy/Wuvt9eNaecf/1+tHX4PL+/VS5vo52L+6l+uFU31/fUV+NfcK7W8Y4A+6mhP7dX391+tffFu+//Py6/r26+366+3y/vr663qpcuWV+Pl+6Xv7frm+X6/vb2/vb1U+rtfPt+vHhYpv/+Z7+HL9pIHL6/tf14/rFdjHT36iAX4bKpTrr+umun689eV5v1xAIqW9lLNtXC/vCBd6GRi1OMOfcL6+X1rxc28NzM/Xf12vv35S6/XjrVEa/v+9/cUP4l+0MYSlAkm0WZdflwsNf1wpQTOXX6+XX3+9/np9/RfKpfv91VO9vL9e3kn/6wKyQgNv1/fr9eNyxSRED8joIDkcDuH6eWFT/ab6BHZ5/XW9fv78Ceyd86xcae/X254vv+iBrih6vfy6QHL51/VC5x8kcviXv95xvgIHP31YAAAQAElEQVR+fb++flw5isvH25WfuZU3KvYn2r+u1/effKvQ29v75ScH/jGF3n9e3ynErxP/33++//P66ye5F/p/r/JKCFg5r28fb8P5z+ILuP78/DlOfq9A+XktP/qV63t7x3ybWlzfGyb7vdJwE39eP3BC+PMCw+cgP5jHT+LHG9ss+TsY5A0eUi4fP18/2ODl+vl2eb9e3t9e3y940K+/6hnM2/WjJ8BOKTrb/CfKGyfzPh8H7vEdzp8DptWfP9/fkOuvK+8eggLDW4+IJqFFrhzgpQd4pZPLr+vl19v114WZ0pf3y/X9DWePgq5+XdgpzgtOTFr9hOfn2/yq89ZtXq+fNPAG1XXMN2Afb7wV3csHJV4v9Vxf3y+jXKYf9nW5vo8ARj4vvHLXj8vbO8rl+olcr59XPJfPC6/Wz/crB1XP5/Xyeb3CzDyht/6wuFz+jby+fZL+yqeyyI/r5QMe5PX6b+a36yczuW/Xj3ICe/v8ef24lvnflwvRj3vKpTu9XP/9E+X67zeQ14+Zi7lcS/t2Kfjn5eONdPRrTUJXlBFey2tP7wPPP98+B8Zcnuvl8/W1JISQ1+snHhTk0pTPVxiqfLy+fl4gv3zM/D5zdZRirtXf6O36AcOlW+CCqALhB2zIhdxGP64XWq3gfKPnyge7QL+2yjuAy/XzMuDL9f16fX+9crmfV/i56zcUonPa14/LFf3zekE+3gAgF0p8XjkuQm//19vl35Vrz5CTvLZc74uK6E2/zCFcPl6v3dfr6wevyl+QXCFhC5S4E8J5vX4gb9dPWrqMfgF2GQwHdScH83nFifBWXP59rfxfnMC1N/h5nZSfl883/OjXbqE8b1Wul0/kQvT1A8x1V7mU8+36cbnuWp+E3i7Fv83Wrtzs5fNKA8yXz8tlYNeP69v7vPMf18uW9wvOyvvb5f3y+o4fWuYrWXRy+bhwAtcPoldgmBfO/708FOIvWshxejmf/+v0j/96Ov84nZ/Ppx/n8/Ppt/7Hj8fH58fTjxN+5sfn8/nl/PT8dP7zEczpeaJ/nk4ImD8fUR6fT6fnP4AN22kSz6f/Kufp+fT4Y1fB/wjh6cf58QckzKc/YNvVn58en/E8luEZtsfHPx/PIP8kq3J+Pj09n+jhRMUXCOs8/aD54ST043T+MXoJz2d6ez49VX+i6OPL+enl6fRMiRPMj39SAnxnnJBzJk/QVs7/AEn6D6p07+dnqpxOHNcLJOfz89P5v/5BFimn52KogvI4+vn5fHr5xxOYZ8q1xPlH26DtRzr/cTr/ScrjqTCU8+nPcj69tGFyn17+caaH5/PjyxMmMszgOZnT+cc4X85g2NT5mRLnUU6PU52Wnl6eqI4TBfP0QsrTmZRnzuF8fu6WB4xC+gbjP5960U+n/+IiTuSeX06PLy36+Hwm9Pj8+MczDf/j9CeJ58fq7ZweNufpm5nSOJ/IAvnjfPqv8x8vUNF8q5zx/yjDU4+onseX8v8BkstqiCrn0wslmNk4VZ5Oz+enHX05txAw5Pnx6YVN0eSZrp54355Pj899tU7P/3h85g05n+bEaOlE3Zfz+eXp/HznP7/wMvwBW5Xn8/kuT0/A0F/O9HAG/3I6V6A6gTk9U3H28gPlfHpG8FNrZkz6fD6Re6K956fzD8B9AZ7Y4DPt1XMa/fR82vL0zO13j+fnp388nzHvDbNHkH/CDKDg8w/mVmwieuV8fjlPOeYTp93QC7DHkvxJ23OSPzil8UDYjwnmiUIl/HE+PyNsATDz6fTn43wJQHL3AHgk6+VMrfPz6fGl3bL3Rwq1h27wVOYzSPzQnmt271tpV/SA8xnnmU8BnseXM+BHPAg8f57v4B+nx2cOCrYnminb8/nppcKmzi8n2ji9EJ32XpirUxrkCaoXtsZFI+U/PfNKA2jPOxfY0/euyRqq0/n5CQV5evkHezm/kMUJbDmfXmADMMxs5BlCUpBWp6vTM99Xf5z+LADzDOZHX1r00zMkHP4fp+fH0zPXcYKcEpVn0k9n5oaAET2f2MIP5vMjL8+fJxjOz0+nH1SsEwWS8w/O/PTIpfwga2NQ/jg/Pz7B9uN/QlL5UXLS64SWtn/0GDHPhUFI1un0cjrRAEUR/MDuwmWxcboa5cdc0ISG4XQCPw3A9o/nIk/3+fHxO/T43B6e2MJLy4E8/Xh8fDnzDjw913P6Xz20+l/OvACV5272PIktwQFSmq29cAXnxz8fwTAjpz85QEhwsoXz+WV05pczJR6fec/Pp5fz6flcflqdA3l6eXrC89K66ISentnL6fRyeno5nZ55/c6P9P8MOTqe3+mPp5LUTw8VeP7su8rX4+llTuDHb3C38/QCmP3Cw5k88oaw8fPzaWo9PbGjEnK8O4uU6aSlScQ8gzy/nM4v56fn89PL+UyVzv/gwJ+ey/D08vT0g/fh/AQANmb8z+fz84m90PC5+j9mboePP+hkQgD4hnx5enw5/fHjCfDjMy/VaZBnTHIrf+6W6j+xO0q88EKO+Vwe3sbzHDVbK/5HN3v6wav49Ph8Pr2cT//19PhyfvzzTPMnUn6cnp6fnp7P52dITqeX/nD5n7yBL6dT594dPTy9cAI9GYpy0ecfYz6TdT6/nB9/9NMEAz2ffgC7d179mXPjJWGzT6fdQHd3BtxWf/CLx/nxz97F448e2umZ9ihNVkucns9//K9tPp1gfoEE/vM/ANPDM7SFnZ//QUuPL73c02wK8CPlfnBcs2sU/BV+qTjRM78UnZ7ZO51QF56n0wtSs8p/kUUutZjp/8wJcA6EnugQ5ueGHp853id4Hp/Pjz/OJzb7AhXgpzO/pWA+Ez2TRXunATySiP/HuWw/yOruTn/y6RjkRJ9+nE/PSKlOzwBOgBH8zOfN+Xx+JPRCG5xAZRqg2/PjnycIH3uqj3/82TN5/HG/EZQS/jidfpwffzyeUGjmmVrt5+nl6fHHJux8JloY4Luc2177efzz7uGz9ggGP7+JvUxLz9Q6n/5krvDzi4rgH58hp1Dv8fTM/Zbhjx98WPDgx6QfBL1H8fjCzPH2AwKMxh5/PD7+L0wALYR54l36gQnsfKpyPv+J8vg/f/xx+pPvfL4NoGVrJ5o8P5OFbDB3Ohv58XjiPWenz/Ag4HvaJzw/znNrAJp1egZf5ZGURjmikkB7eqEEdWEmfSvMCC/z+Q/4kR87Onf6g9BUeX58LG2Z4Z/P7PnxTw4BoWfmMzf4BxWfT3/8L8zycy80xkzK6Zk3h06m1WdowfxB84/VR2ld/E18nLqnH+i7Oi0RQrZZErYzUgxI9N0PfT7yN4sfp2nyHuWWT3/O3ruLHs75mQbYzhByg9Ti3tvMJP7J9T3+gXMEzlMTT+zlzEcY5Ast8Z0AA2/FI9HHZ1JOj3+O/Gj0zGmgMJM7ymMTqc5RcHrnP36wI0xu8/z448xftJAjTqRK/2lsqWbqdPq/zLTq4V/M8B8RCljHBwFMgRQhi3+bQ9Dl+Sc2ZsHgHAtnWiL8K5sL5t/jEK3Dy5GNxIIq/Bsf/7qqpRlrdGZCkPAPo6IuFETLw4JAq80gax2rJAdsv2ml4xh+Qs4BKhKVF9pIlmFYS3SF4FsAKErD8Zr/tQCYDMlkepFClN4V2ERCaMxqdUMSEumZeQRTOyW6aTfpLPZrQYJQUQcYnADAo1AUQkFOKKaCAilVpCmUqNG4G7cCz95gju5zaa02s2fAix4PZR02iwNn+j9RaMMi/ygfnpAl6ELdpbDTuM3YXgaDm+hS+y9n+s+m82+vBrxgigQhWgUYN3Boj6EKM4KHeZFl+EvdB+Sx6iRMdWpOMyDpZBddWuh4ML/3sjibZrWZlRYVJk46KdK5z0dw2lmK1CyobC1cFqHKEXLxp4UALiks0Z0EXYQsOGNyCYTo6tEVKdN3FvvBLRESwx58NIWWFkpDmEBGVj8yUnmWGJB3DjuqEzaDCzy4ZagCQ++dOxW99MFDBKMwB4WDgiH3ihadcM5d+2yqAo61UxYnIFBE74Tic3Ro4TABnKH/ErI7y53DlGwGoeMFEAWFVqtoNiUcdBU8lAunX7QYnBilG257FqEWzfISG2cvnLR4PaQeUSa9oYnibC0Y2J95oO11rxwOhD1bqGTfkYIQnjLXwwohs0hk8XLTyylDwaESWQRZohU1FGsRCfoIYfgPxUtmdlrF1CqM/u3lmkOSGBiz5vxRLLnIrpgIIbEp2HqPBg9t0OWIct2aoNQ9RTlMaEiOflwdQvTZWVuHNvQPhnnAIipY6Jnb500oMtCHnbIdPN4YAouUACaMhV+q5wjbCR785qjDJBqGoRsfjBfwUEVSGyusZdCP0QmjA3A4EzAFs0fM+lMwqeLYVwENiUrotjUXRY3VnhWivUSHMyH0vYs0mpI/KNzIob7PlKg1dRW158SEmLNUYXd4mogJ3utv2BGinCHN1Hm0elqxhIHGocFe3CHDb7cG0CM0XBcp+KCl52PAPY3VcsUUFjKPlMS3334qdr9N1KJiZYoeu6X8zioMJ1VIthe6iC76pJHQFbnMpVo7urg+L9qr2c9LhsT3H46HCNk0KqqwEZqBm1eLuZzO0g3nPb1smY07rb7iBSH40BWe2V35WjSQNFS/uDU+kmThTLNWlJtFh8uL6hwL/l1UPZ9hZkeNQicAmkNedWaqKBJb0HHYsYROP2iL8ICpMhUlYk6KKzB42X6lKsHQzGHcAXZQPbd2Topa98iihAGavYCh0MJ5FEBokfIAhr3Uo1KJ/a7ScuyL/mmKKqSjT2ix361TtySch8ky/PdO2Tr91F8SMOlnQWF30mTdSsKbAOYQWTrag9rYSr85BVsTwdEBbIgYjcKzDtoOVOgVS+ZEoQtm+zddLxT87nXIPtY0RhasYdBVPcphTiZ9E9DLTE1yoeAuqEWKD8+gqEjnEUXDumgbAFrkZrFNQggbZLYWzVehNyCBdh0O/RzoNJlWcXivAosDDeQA8EtLeA51Nk3vqHeUU+qtUVFrHaJVUuiTimQQtcHDv4x9cKoQQwVpnQB0DD/tASDTIgWSUpE7KcFlclk7q8gj9YhDGwU2yAJ1sGWpyLUxzuoVhC0AgqzRHg7QOxIIGfhNLm30ZGqlfZMIm0FXs9uAUMHiZK5OlNSGqHUEJTT/QFRV2nPYlA7TTGsdWuY8V3VHGnPXJYnOtei2GBM0x1sesk2d2bclmulGltCLx4O+lpcUgvApawl+PETNIawiEx3wN5E2Do5IJOChybAFGOiKJo+0bukmPbE6uCP8sIV0ukVElYYOSM0xszsWDFAmC5ebbWOoTkikKtBXiJYjWtDRQbAm5a5gClYKgdQeIEepx+wpFKSn0oETlrRLqBBsqhuU2b8YcBOoBESq4C1tWHnAU1Va6kIcpUhINgA3cAKIqFWZp8XciUxl0gRhcM3zd58HZHCsgCTj+0yL1gxzeiJvaZIGpo57wyyZ/gWI4vDBNbAYZjGI3XxyxgAAEABJREFUKw1HnQUTkZYDh9VZHTFzZlYAE8AoJRRd5H4wACHYgBYt15DVkNHBhleN4BHBgm/uFCRsEjvCJchL0QVdOzRVQ4OYgJhn4zgkbEEYdrm4FFTjmqqRtOBtnDLlDb6m9b0hiqAhzTaBpkooRDiNstOlluAtbNwy9CAhi8wfkc4zEs1gAR9aReqZBo6sOyuuRHy0YEbHa+oKcDD7oIMI9Gm56YnNOI3P60pPJiw3hoHAo79tg7XgrTIL/NhuFitiKBWxCG/wiHxuiX41KUTpo07M8Nqyr2WJlLJNChMeZtFKewihuLA0MyIXxoLaJfZ9qX8QZCHhzVGjILvquwyKGB6sBHSHsSPjhihhIrLNKtqDZkBTv4rCabhIWlDzTZ5wjM0UTW64djTQdZhcxAFZQUGlXZyKmJnUxxSAgG72awOaKEfK698UkVQguubrGNjoOFdzv0mwK3NDVndFtB6ahvS7Y1Gp+bjKbNa2sBcPFhuzILTSR1ykGuM2VVo1Kjg5Jsl8d/LNTU1UqcBRAqxA83XPHgngjtmBGI2wgDYLbVFNAEQaaHvcaOFAPGgUMfARHBqwOESgX4NjcQKgp2PcRB3+uLGSOJPrViI4e2CaLabMANMgwAAwduPV20lr4f5eRP8iZnKBmWeOGNMyg3RLqHgaLHhWu840viAxSmP9GBDHJE5ej1x1Emdr6kCFrVUlb7AYlm3Wu7AZ8YDEiWBQAGISdxIhzqb90gBLs1MPuC6jUwyWppHnunk1mw9oTSlgs+KctS/FEfKgxNE0lkbZDO7wPlB6fJBACUR40Fx1msUmZWzhxBfiVeueZF6B1sJXGKcT9duPzYQ4aJLEtlkoW0xDqBVMFhx3BO+lYBZpONkyltLs1k0tE8CRyFUHMzQNlqxxYo2yhBUGnCgG08TFNFAOAV+b7hPJQtl0o3J6bHBpwYGb3mjtAOd5mHFVCCLwrhKPn1zL4OoR5cvv1CPRkBiE7vfHRlyQcZWQOuIhB5gs2eaRxM+gNImLVARegw/LkLBKg7W+R4P4atLgHQb93UerINpacKJSixl6BHcoE/5i3JJqDg4Km/vCFVpefSFpK/TC+zA5qOS1CUhLRGYt4sJDFohJuMMWZesiG/Y6ibIIp00Kq0ri5m7b2AKGVW/oQQx0D3piggRTENdZOGtJJJVZjJ6p3bMhzol4U6W5IV4Csjwko+CUSBCNTzRgMQQzLwkxuuJgfqcQAC8Bs6h7V2SUMh6hPqBgsAAjtIN40kFjRMnFjQIqxXh50AGnPq0Mnh8wxq6UunCHGBNziJGBAa3RmskzKjFUpXk4iHar/BVoyPDv8zEAqmSsmC4CFGmy6E17EOJYqCP1pFFSZnw0ojHv4HgySjNa6k/BmB6DqXVJEwT0ZU6EhNAJTkBh4aEdolRMUiXi71NyVYpQGc0ZEgMwWfgR8DJ/Ij4wa9oLMAESpEQ89HWgRK1sopYI4uJUIQmAMLGIsmKAmLdD97PETxccyuAAAr9vpO3QJD4BEQG1OIoIUYQKKLTXsHGYFlgIIyGLGD8IrOahiJFSSj0yFxKJKPMWsKESBtFhXz0Ewcw3J/skAkMhTtsWqomCbRs1+yxK4yK3MCjJFgnJCl9i5iZwloxABgMcrjbjhtDBNgofbSFa8gKGBOZQNjLCdqT9KRAjPezipQRb5s8arRZebMwQnaalxV+ece67iYERCx40tSgNIzjvDUjhNKgptUeoKlpY9BueBhYxVgFmM1l7HS9sBMfbzGFu2hhUnRUvgqXyti30aas9YtM+c3/5IkBRq3sfHURQeCLcEeGpP845Y6NuBsA0h91yQDktmimINI6Ybha94gaDEORYwn51zwCHigc0AIqRg6x2vkahFNSoIxvBMQCAY8T00SB9jdRuTd6Qbc/czw4vMPoSEUPKOl+g1Q9l/kgOpxHKzkamAuztVB3hXDDqOlJHYaDwaTFIZEvUB5HSBNTomheYKkAtdgeaAOgEVYt3I6C34F5Z/ibSCiCczU+3gMKRIQkNtyszpdXYAqupQ0LBYHG0WzVGy2a7uftYaoFFGoBHALHGrxJB0f2C7cs8qYv/sArUoTf8LIvGOFzm5tIKqQQx+DiQQy/tKlrd1yaCPAAUzkQeBi3fFSjIL99AmMgESRHyKM5/GiujaFsyMxmgxAhmJhDJ/EGohB5Rev8FKIAtAJSkOzT0bgY/MeyK47YxfaiF2YvYL7GC6s/unADZ+GviT7cagre1KqiNr1u6KIH3lm4qGJjCQSM0mMQ89EOEoj0yXNTHCDgWNpIQ5pH4OmK9p9CCJ3WiexKE9KTMSXTCEREUhlBUQvSSSkTNvLJqdyZ7+PdEYhZVLN5AXOicZXGBp/0WYfENiQNAydiTds3A1n3iradqqoSbg4f8uiYatssDHWZEY1xsSoNtzGlAOPgPJ7Lw0gwmLiuWoarfhAiWiHRE7QcUWCwM5m8M28ZdiyW0UEfadiAISByE0XDUBQYvBcIBwIoPSNa8DSUhGpxtpyYqzUPBETEv2sM9cEyiUEHDQaGQuJ1AhgffOJjqIhksSe5OQXOIfMtjIWB7Is2LMUCuKqi0z4wjWfBAgI4s9oCdDqjqx1tM2CefiMlif0SCm4Mh3hDGf+RCyv7voBV256zQyfau9kXU1KLxpD2jL56UkO1V0BFxXrM0PxTbRBCqPPzDSQpR1BuHVncM+DnkFBYCAcDXBy8AzSCUE2lzNd86mEIN2V2tuTgZ966KFz231QVlYbyAlEJq0BzaSHbjrd4vUjW3YZSqVF69j6mMjxVBuUtCndQIStdZ0g8XX3QmN3iBdabClEMXuLnwbpFw9nlEfHuv9kxmXYQROlpzlsBoi9nadve/CI+wt0papA66Z+GVAIsswJwrrqKoIlWhT3pEzAMtEDWzHcYLvYG4efjpqpKoLiiaRRpL+nnH0wg5QGrUObk1GiJTOBYZoq0sOhT/uYHCpGQt84+3lA1+zmgl1BZFF+rNWfzRWiykayWo37wr7KsFBHvIDiQCEiJUvNUvKqGHQTog4c09gUtyj+XW6DiZDJULNCjjEOPIdjUbkyoErIBpByCxOcXFMkbXnqd2k+ThIVq0QlFMqjKvhWXmkI+LjAVCqETvWj1h75VsMMGB3Em/9RUHF+nsl7KuI/RMq8gRGPsQQlwWggDYjcglBlU1wo2SxB5oAKUCupKN5Yf4WKL5HlEJSRY0CzTlmOkEdlzqiOiJqRm1+3ecCWO0NMsIuSEHl3X0MtNioRkf4GlvO9GBGTpCYvRbxqyIU4XGHKyA0QGvqtRFlK8RNpcEZdDfvUOKU/cRaZlcVpIogYBEMDnttBnBi7k7WsGK9qCEuBdImgHmWHQVxhKK+JdLoLR0YKGFRZ1i6uIvzSJPIidCs714JDpJ+YUVcOnv0qwkFk0CUbJwMUOI12oUP0pzRDHygUBy4FzG41KjJHjDNcIV4GmU2zCuhS4tyYB4KdD7pa4OQnzJ5XiQoBQDHlQo5MFzos2VfNC2538mQRHxQL4hRes+kQU2yvB5VoryxlMLDH6OGUUsdMf7aKjLhxORBHIuy9BI+AJDZlVy0BIGZkNsMhwHVn2wSXZrM7G0HGcqLWqBpyFUlLuIo0ivo9k3cVZVpCyhCAU6SASX+S7EGcx+dATRaocUTUS9gGejXQiSAZI6tol2C60udkdUBPrwiixxAIZp2TDIWgW3gVAoBxhBZc6WC+8cTMoAK8CkFLDILGczse2HBV6yykM0FvtaJiHreCCdIMdD7Rz/QwI5eZQ4tHi3cBA7SD/MKeO36qbKYdhYxXWINQBXielLKPgQFLNQ12U+tLOGiCQVSUQkm6s8hEZ7MomhoiiyCfMgH3INgaIlcq1h4hDQlLC7w5xm00SnoSvQ5iEkmVpLfLTJJcTN8VWnIz2JyPyBWuWkLiR4DoGVcFLbrAf+RumFDml89b4IwiLGxEIWiktllHg11Of+9bYEhicsJQFQcKMRxkGrGQ9JrcsiVlKUQ229HjY5C0jWkolzAOhgc0lYCXmYlIH0AMpDa7BgK+ZoiwCWfhWQyJ6BCZA1f1xnDhY2AiEKAV5UyhXJ0vS6JS6qhxrZQo/7KTP3ggdmia4TyQjP8jgtgDfhh6ntJ5x1iEbmnsI5V4NRwlNqN10MuhLp5lyUGvhwNF5tacFTukapHRpWjweC0XU0CwremRZfhqsg2MAfZcEcLzld+9CqmthwMLi/5LZAfHvg47awYlfp9x73u/APrE1162oJF6coKG3rEIT4lrikhzkEkchja9IJgo5NhuBfokseL/5AVJWnUtDAYOZANo4A5tZhTm7RqgKXtOTDphwekFTi4JeaQbvBoC8pQMT9DqTHYMurFksVTEhumuvJYvGyDYK16dKxXFNQjdguA/w2/CJgCnZdtupkpgv1NeEUZXGGhh3CqCMCOZZTe1nffySbZA/PLshR7/tnQ7Q4TrpuqiVy2VkNwdgVp+bpgcATyGq3n5r8ytEIFMBIt9l/66oDB4t5kJhQQCN0SvXegoJCFh8KALExxb8aATZJXro98JtJ6G2RRV8JBOiEHXORfe1RQgdkIDmIsWrhOopu2n6YlXQGYAM0ZgUVF5GtBB+2leI5NCKt4vzeFTQguivaRGvzTW4O5uGO4wCPIiiaQHDFzCNlOw7AsOBQEXH/t4kC39trrB2Q4jLWbkvd26KuUyBRTgKdLnnNmGlGZVv9MC6y6Mx1BGVVA4GdVrbrAFSLZOR+bAs0MbfI5sMhOFYBRG2OmR01k9ChO5VZZ+/0BSybXAeXQ0jur9N82N3AAR+5bIvCAE1Pcpu0MRdzbmgtFRKsHgVZIfGQOBcmmEkPiRgyf9BZOBU3wMpZ2Hp4MEkmd7BZ7ECMwql6BJ2VDcDB9YXFCt77S8F9QDZZ9UqQ+mBH32UkXOYeKRLxDbeaT1HgW2R6CXkHMDYeWixmgRTudbMfLB+W+h0uUc7pHm2AoUFBIvNnI+yF4yCqmMIWOUx4bVackI+i7sB0ApKuRF4IsJKoDms9CAA2M+eMUj8MkrlFbucmRqO38XA4y2VxfysjNFXC8R6GKt2lWoZfRm79MuPNKB6GggG1FQDJbe6gf9OEQ5xUASJvVvYe2Ggahhv/DQOLKp37uLpg5fWCaqGCHifpOJlloSDVU0JsdGd3WY/XbeGqB47+Bb34VR/tIRJwQqFnqUbLYy1IXGf4rUDN0uIzLckcY9gPJGDIHTqxS/qdjS5SqiuBYpkYEtAJ545OlrSSrBuWliFTcS2UNPk+VcU5uUExjoSmQVUlkWNZf2+t1ItIz5Rj0+6Ol67OBnF6yhYUJi8q0weqBP8mF6NV2cQNPM7KkjehoFqA9zYkgu2qR5q+A1TRDC/8oyUcncOLFMMjPcg7ir+JoKJ6FuwY9yg7xTkAGpLKYP6WQ0maU6S5ZAKji+0siq6CSTQN89sCsHrcFMnoap8oZQ4eqWkURSQVSeignFkQSgUAABAASURBVEWtI2KYJ2WuFS7aeIakbGCQenADg0RotMRlwxEtemzqWnN64SjCVR1pdPW1WrDpdutvOAD7/5J0rYFxaDQ/UdCoJC4Ra1QuKl4IG5locEK7dK8ZCXJeFXL4JBLlaNlCBU23L9DidRJ7lsMnXArK6lxm/GWjyhFCEaVD+xjCiYvthq054hTCSRYPeaNZJEzD86vCotWFx8vAo0UVaE0Dk+0l2uW8BaEWIS4aKoRCmKtXRPNAwkOJfr1MS7+jLnqinZZ2KS3wYNSW5EC+6MFQCNY1r0b9Eh2KrRBlMWykUJf8hJwIDhpN6H6REsBHYIKTDfLdtgSSaOazvwJJ65AQdIiGBv8iVV5cDf4Uc1tefPqqowT8wlNCdERaUqMHbIaYhfeA+03bDOSi876CVYneNAZOacqBAY4dohVrOb0gaXIXJSiCvmgwwKjAggKgupU4uyuaUARj6B8h00TrGJ4FDINNLVB1LW4QD32o+GFGMR+AwMRpQICXrmSqaJhxUB2AImYOPGkfKQ+nYdFJHI6TFmLcddyk1pRkJO0GTpNqEG1JEKp42MCoeNZ+ulszQGmj4DFFq2Cq9wZpphZkLZNGOUoJhfLqWGEuDU/3XRO8+U8H8rCpNcoUzDKD7AIJnvuOeNV5t6AyURaSFicJk2A0FGFtCshiQpTNsC222QSpv5WAtDhkHZof360rskFYNHRofoHR9+CnPl2PVX4ZWl5s3NxDKJS5ODpXFl1XMUUbOoY35j0aAokoLJUQw88tL6/2A4x0KY54VXAKTKJeWkikFs4qixSOmZcq6hsCrfmuABDMxSdRjGiVSVCoW4NZNF/fDimiCZAjQDiuOPz6KAXOmj079DDwBGQ9Cm2IdLj5WbPCTvFw8q0ZojAUjDPBF740t047KFvCp6lFiLIjtMladMsJyxAEZkoz44EWGLpgbGr6I3Wtr5AhO4v2pG6EKkFLD5beJNhwaMZqFLCTxVkV31rqnRIaXXSoNR+fBOBurtE1+0kB5NcDYAGJV4Xewli5n8+S7r8hcNgEqLlhKudtGoBB7bs5atTi3eA1apXVlY3Mgn990aiBBerupRvgB+h+D+uEJjREP9Tr9rPfTNfDyzPNG4hK2+KRZKaE9hcw8WPT6u66kdwVlpAGsOh5G9UBRjiBiXwBo1mQi/YooRK2hSU8bJS26J03p1njDOkgKV2cUkX9vMLJubGbQbRY6fumoafN0KbnL6RY6iagpiHmWixUKx4fDvfvKHx4WpkAZEioXqEM1i1fzO259BlFxd5Ktqgnbm0TzK/9jdENAkCLCA/ONJezJ1lcNHGORTQBgnJ3ksVmsbTYp2ZQglQpKVnoqj3I/cpa5WW/DfESqFEBg7VwiNqfaQAqc+PLvBgcS0BsL3BY2urQRiQCTj2wVxW+8oifjGM7MUyY4QPY0FrYixy4vfh8R+EGmVbUrT2QqLZ4cARHahGBGBIRqEikEOJbl92HFiX+FkeqTRxqECOHYN4AAuMCgQN/GrLEAUG/k9iIAVLXEorUCfycwRJpnkiTya8jo2PclfqwKqI9UpRO+4EPHBjRNlS7Lg2I+1MHYPzMOA28PrBNpwurOrOEcs8ek2vp2kcd9xgt2DjbZUnFTcj9kNy5cTZm2ZYQHKIal4CGyMarPkx1EAbA/G04NCNuBR86M8IpMpNiDcHY1VP33m8DPJw7PkuVDI/XlDDvixm/D62H2R82pk6JSAWp2E0mJwQU4awiBhCz7Lg457C3Wl680qPjEYwhESS85MKILjUXz5ZaFl1pRttqUupPXf49qTDzI4iLbF/aA2aUjd3vJzMiPi3SnXl0pS2ATMqKgoe5EkJ1KhrC2cXeGiTqSCeihW1dnA1aIov8FEAlpHRYeBrhJKCS0AUOBdPqKHBcKKmLpw1wxuIgrDZCUZmXtQkoBoiYuLQEu7Q74aPdgDRZImJCFTrB3K8MOrl4SRJG++/3jukK856ClwJQlE3aLxFhWTgbNd5vOaiL7r2oocgRGjProh4Xhza9NR8P2wwpZht0EhrQjJCbjNqkalDOQZG1/cx2vc2EoToq+DrbEMxsIbsH5kl1CsS/d1S3eW0bSylRDpzsEWR7wLKhJEA87Uxjl+NvZ2PdDisQp5F5WavsR3z4JLdJ7fFNuzfuJvp+Kzq48XsJUtqJZJqB4JB0sLKQUgGLYdF26bv7XXMYYgzPNDZQjgkgXUpcDSFEdYrcQgUt+wGEu7Qyf2qCH0JMXFUNBPwIaohMHWIegz2RVRhbkfumlUl4kKjjt3JkSgNYBZQJogrc4j+IpStP2yTao2EBL3GViwgK0vY1DXSPErlmJr1YUogFgO/t4aFg7IAS6h1Wc9fCcY+Skt9IlEVlji9aRU5ukaRSkh2hLPbOIt0vi+8JXFKj49eYRIMJE3x0EUtiOoimijTM0+XBbsWoh4W3okgAsAh0KSAjhB+lMnx4Js4kfjXAX0+fxLb66oqGJb7UKTJOHFydJ+pipWN3hdFq4shZaY0ZTtAT6SG3kvIQSCAVrkPCCfm4xJHK5i+EdVOvzJyRDSIGX/IQFFPUNlwLpQt9NzAqR7p1pyUEDgW1SjSHExANa7hlymGacixlcQy8bjWZhxIHXHaYC2G/xQCL6wIQ/JZIqxJMrP3NRpqGSmCjbksdgUaaaOMo7JQoPtuCyjYpDUqyLcqVmUUd7WoIeh0yuZYQiAcGnlX+Pt3afWMDEl0cM/glUkoJlhI0oXvJuHvGHYPF2yTMau4k9gCJMRCsOrH6t64uNfssCLPYoVpLMw7m1prXEHAJgKm3VB0XCGGXtx6pvtbvg8fqx6/eOsQYu6ePLosz3AT0qdJQkCjbIWii3Z8cFqaS9BUi1z7aMxppFpAGgClY4jHa6DV4cBXSQu1Sk4cTTH8jl/YbrogeQ7SPZEZk/hDh3uyltrJs3GUT44CF1ucHlvjAhHwkpJFqVG5BIlfoPHS3OPBqBjROY30rwKkzHjMnzEiiQRdGvZZf6jgIdJVWMV3oTw7JkpcnrXiFbw4VFI6fZyD0s2GSDBfCPtD9zWzdRyZZEB5hqwKKkBRcYtAn4LSRoOOB8lupJWy6Z9F+yWivLt2ZZ5mO8ICCOKOhI6GDllrsddxUQ+ptM1K52hkWTio1Og04qGjQSeIK6ZK/p5WxD4Wb19IRSFK3rOapow1bUNjALP2WA7pWBEqS6IyQsDxcOEYxGa7Bg8pcSzKDSdtiQbm7NpXxSXNisqUK7AhazS4Rw7ZMNzxYFXcqDT0TkuqwDx04bBWsGRizxsYt+Fyb1me5T9lOkTia4Ja+VdlWie8wSIjjUAexLr+fAXXqo04gqQfFhlqQiYHzMAM1GlK0Rs3EpZuHQoTcQZDEEqJZYrvDfOAVI6z25JBCYu8ep+0DdxH2aggnloGoDEwjOHAL3VV5rIPUCBcPH2IxfKg2Xt4xkCjGYXUEB6u/HRnNuCoEURFysKc4Ku5asU0e0hIsOIkyV4jimpRDAPFtdCE8xiExH7oPnHMalhlC5+eENSNd+2BZVkW5/wU7Y9HEIe+Qe5bVD/XUJNwS88HDahuFJxIKB9OlWs+bh5CErQEeqFCaEmJYOASxmy6+oizZVv9sTYzpGS7UygbLBsWxoCAQeIbu3Oy6YBVUgl4ien3BOWuYzYOwmAetTha6Eh58dczD7loPZryGFEe/mOqYqlPDsmQGgCpi4BG+ijompHr71MPDUeN33S0HmV13nzFqKXbXPkVKmBPdX1aYITYSQpqBgvC1iH8jasr8UZjYSHHjrIKL979ahF6JfkctHfvimnyv4hmDBhlrxl5CTELfop4tqXNuDZlYerQm5JmEC4UzqYYhyQcZ+yXRHrbMGMNm4YFI1gGYEtjqMC6RHTG4M7MQxoPmBhtJy9kG0LOqH939z6ngA5qlQq/mGRVFFjEcZhG7y+agAp5vIVBgl0J47ma2a+a2jTIu9w6MZdmwb+eU2B6cqlaIbWHoPuyaZHQlxY3NFJwY4xezZ0yap29QlrZIKK5utsRKMrMAylU605plMXCPd2pg25YZx1wHjrtwkQ0Qk1Ag5TRsdTDfNarg4MtJ3QB+dWR+lZkU7RlvvqOaXMs4kflQFLV/veK1oBBpxYcdFSKRg4SuJPGTggQzIvMH1wgOTD5qY80EAa6qmdVBN+rIHAIupG5iCUFe4Jpm8LVrdKFK/t7kURQWNl5yNKOKx91JE2WWyEyvwJ6A1S9SMVKHUZD7IsCIRes0ZGyeAtE4FwyoeP9J1aEZlrvi6UoiVjNqofYtHdWyjUPDM1pE1KgIkXvuHYevL/iG97/zHgHTxzJem1a6zWCJbkxYOJH98RSRjdffL9hELXJNWJiILLlDKJykWShRi0BxLHVIMj1rjzbcG59HLSXZUEsLBptJZAdvJPWxLRBG5+sk4lcPPBMDCQjBYZZKIuCaOLMwiEqskvra2mCDzX2UGI1IeCqtM3XHIGbZluq/YyLzR1Lsu4aNEXxiclfCXcgLUUFAawbF2fYcclAf0EThQeVYbLzke6IoKlaM3HvlYyWCWPw9gyghfl+FXnL/eMZoMR5Ief9axeqIVfd8kmUdPJQeQQ0xzSiMIqOLSPu4s+AeGBACuo/EaH10jwrF4o8llh6NCJmJpXMfM6IZvL8ER72v016jliq2kL6uEW1woY4Y5lEMAULEMqnM9QtHU7RH+3RHFUJDsNFQ4ow8maiyKqOZQw4HBYiiQIh0lns2YgTFRgGlrjwcC7NI7EJgliI3zjOKtg7DjcqFSejcnQ0eCREWMQ4eTI1JJ3ADPHAtd6hfWCjUOgZk69AMmhE491FEgGnwhC0hdcs2KbV+n9sxSDHG7Ugo7heN+KszO1fbDpnigyoGGP6jAUolJLB2i3Tb3MJwInTa3AVhncCQQFuHOXakvODgJIZspeWG2fZvJ8rerxlDP1Wpic1MjYKBbRIdNdHdtaenFFYrVODoU51wut8QFoDtw4suRkSfIFMXiZqBQgA1jWpjI6kojvdOpjJrjxCOLHbBWRlNPVIS7P64diSbRyhCuatoHHg/2uY+SIEIHyBEAumaQRHj+0rZH24Vj1f2WKpS1bIY3otg5h40Jj2nhviPZCg42zNgfhTTRvusD5Y5s1mJ9oDQ1ZSmGx84M+rrddA5TuMNU0JVG49slpB5CGU8QrOxpkjYjjpwlE042pU7ad/BLEvNQVV7EFYzxJiVk6dKLZZuprzsCAv8QAjepTVQG7Ot3gKmhKqpa3UhNLn0nx0TA2/uBET/Y18muIW6ls2jPsKmJQkPKUjMkEXUYjCFEmZF1LWn839+xOolarG1/lyx0MSwGoIWYS+WRkwVzQi25BlS2xGDT4d2gCsMGEixtxD3PcplYolfDVk4Z9ktpDtPUMSErx5iaLTBLOOZkLCqHJ6BKaHhJdXqYFcs6D2qCIU3XvwHODTVdMRgnlUyGXwKxPJ3V8FUaSdL9l5F+5o7lSV2xHbf0wV2AAAQAElEQVRZJMo3pR4M2pWZMnUhjrAMCn3m2nVKANNsooKty0ZUcwlR6BanAGIImBgsFgAeW7+7IrKgRoxKGgvXkoDrN0+dqTvs2tpHKYHCeeg+MBGx33Cf9+h41C6orUM2HoQctINlC/QoDQwWvXhN9WpECGDDBQnKMQsKIeCwcRfsGnR1nkJpmLz0FaJ5kxMiIElpbvAYpYUA1NuUVKFdEVZHAKE3V6ouvmC7wr5vaLzA6oQwtUO0zFItwbyVMttFHjhGIcW6a+i4a43D2oMVEZx2Fe0JPTGjKLrqQiWC9kCIIrgNcSzcYsaBIe5Lihm8cPgUfUcJpd/YxtOn/vvRDeHeeAiJb3jdB/2hGRq0BTcWWj9coi/8EtVShRWAZc04UMIj/N8iqli2hHI/TEVNw9efwjUEMz4wCOCDWBdhiuq77UHiMVtFd0nEQBFu7eGtdnE9k1ute/JxwCsI8Bgk5HtrEOK2GKghhObFx20SMO7l7q1ybuEBZzylcbHFWbY0X2UCYsiI4xIjPAb5fRZ1ZztFq4RY+g3GovsDiRigisaJhk1DVfzbYeOFpPP0gDJrA41Je9Z9OIfVoDweWoVxGca7B7clm0mh7d6iLNKkmvWjmMEe1TEu1clEj65jM3PUNWa/jfTBQU1mqCPfS4NHgqnJF1DOmSi+9AtBgHfIEkI0AoXKgsf0h1MyLpojUQzOB9tuOUrgQebAWYW3UZFYvOsYJS1dWML54G6oGf3skIVqgVFHSGfF3dxqqEhgIRXH9jPTmPow6R6S7sp3e8DEiLsjXpzxx6A87jDXgIdQqJKAJYjOfne48/0JIQoSraOW8ZDERxhFkNXJQrVhx7UWrzRR9lG09h7FwFkc+fOzQ4Qtcxchl7+ijY5N+6qOqvtolNyDFJbvAD2jIhw482DhSlHql4bmpC0GE1V+N9ProDJN4hUnAoRFrYsfwdfQNKMZ/HPqNz7Q1RfwnCU/z3WoxaKOg7DJ3BZkB8ZB55SwH2hXOHgK7pMh5I3Zipo/+AbJx2ame6qgIHznKMcDRwCEOqNQphYmywiJiCCEmZaqidUUjAkhtM48zGKYwaKwWXVPYvwdxfgWsrZaZbLoosV3Jl02XB6ewaxGcdbQvqGxiLOOWJM9urYesqYBVt1ZzdorqstpFI/BT8f/2YzYH1kVp4BUHcVGbS7LFt71kfYwAY6UTfXq+r/6VdMw2m9zxbs+dN6DcPjp3MvFfQwDiqAAIEatcJHSwWswDRk3UnB5C6YHqqjg/nwmWpMtf2PvbGKtgOTv3cBIxAaINBubf78lIDIpmCWao51xzXV0q6PUlQNcvzdpMZsAsOXVqMzc6Hfz3MBsQTTuuGEBmr/x0YFoXmDESIMb4VU22LtlQgLTLkatD6ibFhv1P4H9UGCHItIiWIDaLAcEfChEdJo/UkQk9SGXxsDhBCE2pk4FiZckWxlGAnRQlBhEDActxQw8EBo9pGH10ABU0/qeKRk24xxHcywfJvZbkvY/BKGNXYudAEiBodmkluJVQTeOdKD/loQ7JSAaVHzIxecoIPjZKPmqVmLCnLZn6Wm4uD5NACQtt05dOmzAsnzsfUihQsQ+6cOACo5lC2cIa0gSP+hQswGpYdZ0DVB0aa/H4PteNUBp7EP30Y/JViEEP+D+T+motP3MNKPu1wuEjqPEFK6RAwVC9IwfOCaCB71Qte7+OgKtcbVPd2vStsU4Dlzi4V2CQWaDvTt6wTwkRYuw9BCgxHHrzpwJmPbG2eDhZvDgCZv4PlExaBs2ZGgDAifvhGJSTZK0dowA3CEgoTgiLNGcpcO+m7wVEnp3lVGkElgM/gty7k4WHJVGDzLkZRZags1EKCFyQzO8XWaoWUTVVwosUcmWhNM2Skm45QJVG1fas2dyDhxskCoGw9/NpZ4zekTPnA/cCqiuPEbFDE/LduEEEbtgEAAkHwJpHs2wUY+DFFYdD2ILoQeq2nVJfeswNT1JPvTgIek5uDuaAnCMVzZs2b9V+BAAitfJYwYUxg/qkH3jF4bMW5Fg4tWkY6AgAcsiuX8sRjvhjkZX28MnourgHiQ7ZZF6aDKOg0n4pCX6oRiWTWXUoFhMYTok0mayLOSee2sez1pcC1nD4xw2KFLwEs0hfquhvdQWpx+AmkniLS0YXIlJEoOzwgkcYkz0oh1+fMrGdG1+eEEp3goNG/4V27LUnuscBbDjB2qYmCX7OLokjmwOQN/DDPT5OIAhziujQ95/TEwCQypLY+yPTq3DxauUkgCa5FHUEddHp5MJoes9pC2uxZN0Umdpvsrq2VQcS4+PN9IFURxSHYPFUKkI0A2u41CzTMX+H5vhl0PjrqfKgwUS8yDWBxPLWDxotTmzYFU9bA+MA6cnxHNK4Cug6CQxClmS70PTidrcjlqMsrFYVoWXFAX6sAATbYddYCE1VBgPmL5LAmj61wal9Oh8UU5Udg4yw8snVn4/h6AKeAG2XQdnieNwh6TDlIIVOtw4MCmEVCdKdR06gHPgq2g+UHyCQB9Yon5aDzhbkopXN9Kog/sgl4XCu0NsYLA1uPHaDNZ9DEn17eHLDzh26KuPSEXYcp33h130oqCiFD76zC6NgeSArWdFpkCpA30kzO7FaUY/d+wCJ6Z5j0QC78+8e8FhfQ/KThVq98wXqSXbqYC2cpCPodkv8SVIY06bvQRdqPihyt6WgAYvQnJkoxGyjZ5DvQzJWmSToxk4uQbbWOmGFd7ZMQUSb4VLmwXUCPcEM7lYhbkjGBPAkBfziJiP1ESDxT6Y+WaUjSxjITRMaRR8mRbZHUpKicrpmociBMlBghGpXfdpLs0EeqMn48RSzT4qV5XdPKAKtPWhQrhfBe1cXLu9PdMKLeP8jnpqa49AaoZoCY+p2tpjGssd/OiiHH300Auc9zSySVH/jwVZqYMHZQQ8zDiA2HuKxbe1iXvRA78WAKFJd8j9Y0xh8ojH9HxQ18EfdZAioGDuTosDphxB1CobuBaBMSFpOk07OkQbYPeMAhNzu9/pIZ1c5rpD9Uk09wKbNf+tA6jMZPsYmEmjCJ+cJcuWitQMCxvBcKOHGeHB7wliNOhA5g6qCOOgugVMkeYWWMKBH64Tw4pZRrbCARmNJ2GyLCRCB0ufOxcTpA4+NxQJIDFWbMtAcsxdBSdxZvMQlbYi+rGroyGQcYYEmyuRF4KItPjT5o2TjB4TS0XgJaHWeZiBwiwSbSFihMRegjm+A1scs2HzgPtuyLir2NVqjAJqYbSdWUnCPCyisBJGVR+oqCL8BsEx1Qqm8JVZEofNWdAJhxMODrYCgomq7lSqZ0/dNj8kIdo8Ev6y8ytLl5oEt7OsfRRqy/wRY7qi0VIRfcBN2LZE7wtdHcBme2p76rB7OHxewTVqmUPj8BxLZjaraLmJ6IVm8VFS/aQQY7+gAUxd1rDp5fl0tKkA45cDKU2ChJxedBcejoW5QqhcAUkJPDhKl+b1MRsMXeEkCmxy6aRlBIIEMHXwAKZy0Ow9WW4qRxS1vRgyWx3fHR7mvT40mbYVh3C3xgIUIdckYhOdmfomZdjFL1ytEE6pYLWkV1mEvWRmy/fc5lOiTkHKjuxGxS00Jk2U9NQDM4m5AXEHUXahNHf3jAeFNDGsBgjTsxjYYRFeMaoPPU1W50jpOt1H4NHA6KqrO+WwpD6F8q7oONwG1GamrhrtA6IdL1tmaHWNGJbYvkSJpQ5KEMWJARtHV+VIinRhriPiGDmBIZHIrVt9wdI91iO47KbgSa2diWuUhMReB9y011z8xikSJDbI58WghgOqHWYGQIgMx7Zo5jBDSrAyZ4NSGbfR1OeeC/8CxE7D317qtLzGDLgF4U4xNVTOHT1iNkWznlI2KTJNrEDCSeKv1COHEJYsshByZMk8kixbidS6tqVdSKvOpI76eNgWON8HEc67bjK+l8h10hpKQCbSMM99xPN/vg+aXwRpODQnTqAO7ctS+3E3YlmUNEv54B047TUqyN0U4pzeMoUgJR0JQcAw453KoFTd82Fscvr3pxL0bEUlAwCCupTb/DcsdKKBN1olxIHQuc2KhLU63dVS21i30godEnowh9AH8kXqIgrMMO8skAqBbnaqTCdNFOwkrxAChb+1zAAv96yXgkhYKF3YygIZEsWIqRd1VrDBw4oNropMM91dY+jgJQK579dmI2lATMu9C0HeLNKiMoPlgxKi4ff8o072B4wiIyLX1eLdBTXKzNZqE6VnE7SqEJLE/jAVosLdJcE9PVCSgA1rXzCOixrkIocsh2gsEvHItmgP0+g4I14yzhV2ydI9KnYGswpPCxIR4QTFpnKdBx6hzHIIKrRtU8YYREXKqLQ+OjX0eyzYx7HBGyjSsKPuqG2rPZuvVKAwq1RMMDfK+ajM6AhO6WgXnKPFbwv7TID0DdkVLMZMvKW0gAoakkWmZ6hN4BeBLuqRaMbv/5hUq6RAM5h+RKYBqhF0oBQMk+zQlVRTg27QqElJqNzUPtaMrXZu/t3ZiAVT5jJUunAhKKKAo4ULBA5LhyzNIwZpGr6FF0mhrHWa7Gk7AEdMXjO2MafCVBiRHTCxeTrB8p1rdiPX+dtzRwr3+I0ipj6ACrb2GDOlQ8MV2mxr3XLPihb+I0qk5wfumwqVOGwI+t2t3XIdpESa6D5F3iqI7y4K87nhB3htcCKxMFfHR6uTKmjmoRgrshF0Q7wZuLi6zt8PUGI70fAqmIjooJhRmcbc9fZMyjCaK9Uk6vcAj064yhySPRiSJDO3Sh912MZZjlo8RkfQEPM0nB46nDV/p4qIxNuDiL3wSHtiozjoO3hkaGymRlnwS6xiDICk2AemKETTBVOucuBpXDNgxaDgPZ2ojb5pgJLMl1XEFiyTM9dQy8EkUAo4CDYRRHgQ42FpOKhHz5ZVtunb21+OFexKa5GBOtGqoCbazrFN4ZCDD0sQIfws4K3ARuegyJVcXWLFhARzpBP5ogbVCLNF3RuQzCeLKPhuqM+B8368lCZrjEakyRMVBWvXhe87zqERWTuEH9qiWrTZbKCyORUuACgeFL5STVclMokG0y3bcFnCpJZG09+D3BomTKlRJY4FfwwYRrE7WOdAmg9odoqPloLOJ7M4AoBELyRWI8xBTO8KPvW38GEGqqNk1lSpzUMXEgDYJp8fI1hL2jB03FRDkRnFEhVhXFaTWy5pUGmLfehx/xrW3EOlV7EiMzzCiEQS/EQnUcKBVwR5kNTiaQlMtSBB3EGv1WbwUEZ4kGwq4iVXp5ZAqag52k53DckSGitNi6Wy90AivoifaHV2e3KPtBrp6mjBrn0MLKT0qNGbf7ASimSLP4gY2MxmsOCvKOp2wjrONoEyUNI4BMIoQrs7CUs2jxhWU6aB0UqURoumGXHSdCjxxsQiHPXGWxETWzO8X4sIFgGDkRgoChdXH46B4d0ocOMYAH1Y35cCvC3TvOrrp1hTwZwTmkMifCFLDPeZmo2oZkhspnpC4wAAEABJREFUSghVQgZ+fm9TTKz89fMYFtOMxo0yHy7T5941mg2mYTMkKsSkmAFRAaSJp06587TTn4ZE8RzNBiBiBQqF/qY9oBTDIQDAazRAHPadSNfjiotrhlFB2rRmMvuwVPi2K54E89QDCWxFmu8vnJEXHsFmoVSi1r9PNmeFp59Klnp5bCAUbgpNyPxBbBOkG2ZMiY3jMomg+hJgYWiCrl8zSDFKoDSx1Q4lwH0wSP1/pYWwASUc6qbClNnY2n/LJ+h5ecqiGSAQQVlx0CTTiWtTV6kdgSLKT572FP090KmQfhRwktYPqg1+UkUmiea8+v7ULc4K9ihY9Cp6FDTC34Vc9mcTBVMPT9p4ULj6vQCvzIdjK5QSj9VUWRIbgYpFUktSER6jC0yFmmv3QJdtpA8FENzNGbQ6wDfqslTHh37X2IEZKoLpoHXUJlsUqYREdEpzjnUIBFYBpGtGj0/jwYTQ9FCtWydndoQ9YnkJDwaNBNUdwYbPElGJdTC4QUmHVJ+k1I97jc7Luf31jkfBQU4dwYPEckQVsgmL/8hiyhCpEGRrrlrYrH9Hm5b6yhAZyOyWlPHy46Gd3N+6uvocALuCZgmPJRpAJG1dGI30hHnTOHv6ZJZkEbNmHHhRCKTogz3w7uJBAYb/DpydzZSmpGhg+13jjcLmbdagaxaA7z8yqorcihqixOKfC0A2iwUvxVdjgGBXGMbd37PoJbi74AmoUQvrAweH2AZIsHpkPgCOhyAqKcwFLwhhQLCoUTcGWmfOCzdCAjZdjF6LEov/ukTrpJiPIHH8GMzoVcLUHJqlLs4RJql1N5cBkdIr7NJHWb1siTZ4wKFKXBZYBDIxoGXeUlefbTGTOoXI35REjcfUQxoGNbzECYSTGI8a5gFJ8qRtfyiNAN9+FGjQ60TjvoBAhY0XJdyiOJvmg+7CPqfvFFpHwBDjPEmbEA3oG4YO88wlAlzU5DYP/NbZCDbNojSZDP3Hp1kdADRkVaCpz4NHQ0GFP1w6/eCCGRcKc8O8oj2jNMrH3lwiKiKqeQgPtL4VhZMlTcI3OD3S4qoUMrXKN7tPzLad/qfQqmRPv4G0Z0s/vBYLqx6q44SNLWV11UwbJdmug2/BqEpY+qi7X/RFifohQaPFxqmHEGVGoGYGVWVYmCYqwU5A85BKtdDG2o5ugkLcAM5QFlmbSuGAgUWmqHpuDaIHLh4YpP7/0BUGh9GlETaGQ7CZBBI5tDqEKkb1cUFefB+ACAztdgiai9JdFzfRZoqjDy2SZWqwkNVZncjAaQ6qsnp69DHJA9P0WZeYICep51wLwNxoOXDvXAL44UYob56y0VLmWJrsvzdG2CDvgqXGyKgXYjzUrVIHZ8luyr/9rbpjgNRx32LDEBHb/TQM6U6uMu6Us1mFY3SvmrMKVt9DhaZFGkxogV6oYiwUSggYlloBzzCyxzEbLjooB6DwIGB6LDgtdlReCWYU2ai5A2XIi4CE0mLAa9zGROqgaAXV372IbhCwTRQ7Iip+ReQWqtUzJUzm3Gl3uBXi4NncALCAlO+eCuFSv8SdtkGkcTZcm+ZTj+iZPYQOu21IjIsFT2BQOyuyKwlE0w4aAjVvMrolPuSAJdW3NQiqTCrTlMcRulYHRRHxGzvMjSq0AxeJkI4z6OQIe6Q/RdNICVgj6vVwiOJi72EhY+wm41L4JRJ3N98FNpFHZMDb5EjECIGeEOoIOmvZMmtrxjIGaovjxwrO+hbFSjiNiwtY90CDWhwT2wekuoec/NI3nvJGCqsFKnhh2vwkYqKLY9op7Ag0gQGSBwCpRTqhGvCQUY08A5owdqV9r+4dZ3jIYVNqFSyvjZ+IdcxdwQCKBkJ5Fgzw7KeXo5CGh65zjFpPOwzT6HevOX8V6djUS9koR7hIvrDKzRMtR0RB09vkkRuwGgMncaQspRIedLrq3gUjqVjMFoBwEHuV6QA3Qr40+DpxwNJ+52FqD0qLYgwQDzDYEyalTtrEYoaEJicezBSB9S3UBYG1/XvG2QIsOwalTcWJtue2hIM0MFvRZAw93xuNRKET0SV5ETAmAAcMARDiLhMQ6ZseRQwAQCcXFSf04PCVh6V3Uwaw9cOz7ofWYF1EtwDJfFNDh9QZQLgLY8HCicJ9MWMq88bRocYK3EAQbGqR3rYAmxAtqS3yiEEQYpTuiXCRxtN74uuNBQ9SHlBEStoXrfyE6yFAKkclnoLnYSo7PVnzx2YhjeOx5I55/UsBmCWE6J6osExRZIewGwUwNl1kcYqsAvMd3TpWT6MP4KGhP1RknGmKAatQZYWVh5V2gZSZ2BaAVdor3RO1Ncc1FmmBAP37NHh1i09aBY3oPjBSg03yLmcVkQ6BhkIE7qgGUftakhSSPMBBLDoFS5w8cknlb0uY9DWAWfV9WvOp6nVODn0G0IKyaxmgqIVKDU9XHMGYbQC0tfdABiSgqiQ0gkL5LeseIxNNdFl/UOYZm0nNCYSiQ8jhAU4gNEIuYUUceBUTwgdsgrjwMKdt4lpCwVU1mgG1vpm30mzdtwJZ2C3Iah6glNo80FQEaV0OykTT0W/z1ERBIAC8Z0MfeMkoMhwgKt+2WLCJb+Rur8nhFYk68HQhN3VYdBOiKpGZJPGhsjhogQhFVYo+0O98j0WjRHlLMJkp2KMRP1N4YYs4NrmI88AGE+2Xt3fBCsCEyiRRl2i776MykNNGelOtHOwcjhYZ6EDQIVEbVmFuS1UGWwAKGcxNoM8jTTYhSpQ9OMmiHXCVth9aMRG82VA8+DBIxUtFOCfEyUOlcPYqaiaOnxV/oGGh570tZkgmVnUSiC+ezSY2QksUQ+xdbvDqTFKXbzgrfcAIwS2LjZALKTAOxgQIk4CL9CycO2V8VACBQ40UU3Rt8S0PE6ixOOFQYczFFeM0DjImf7osv6hLDCeVWh0UINz14ubwa1QbMupuu4nzWmCiI8Rn7lTu1SSndJjDR2h30VPCQ8pOp3SmFE6UZpEDnDAudOZhChdUfxmCU2wVGitu1g5DJ3KcogogGtL71OXRG4VqdtEIesknMWy09GwC2BJvXnrG9NPIGsIwq/SUniwmkcWbBai83EHCf2OoE4VsSqvfXezW5NYpBvWb3OxaXWEHz/tPMjF2V49IxELYsma4LRS0v+SFSc/klmWumlzetHFqMplpwvwC46pEwtZJKWzSxBZDQdzM7IM8ZNrHB6ZRLeYyYNMYPIKBcuTgavMA2CQ2sxb5W4UeQFPrB0TxvqiLk5sAyKbPLkNFbNBsMxAAHoPu6yGBhfZQOhfbAmDIxzKNTgwPahtsWVwsvJLDB0X7E7dZaZ3VcBk5gG6uuLoa4yFCACeE0tJak9BIm2wxSLtAKN4liWbAi1G+dGPoqs+6d4JCZ4WCTlcBXKPUE/Nph86LvGa36kTBKTSTTIS54VlwsdI8kY3A0+gioazj58hFFwNYVIkowpWwMbYHjIxysL3gDgMsEtLFEUCKL3OQ+KSdo44mlY5bU7IUjhqFFHlqARDdTAwvcWY3JkKI0/c5EER1DStODPJcp7UXSLIHJRpP01bokWP7Pj2wRkfSyEAJlwh9WlxDSKvjbELiVUbhJBiQmMYUE0sr0R5OiZPA2dzmmPxZE2qSyCoNXiqXVagm6H4gFNwSkNWqrZCdh93skKf7ILsF2DcJBAASqTI2cEIpx70nPACQKiG3DUpTCdcuwUea+++F5VjqZTfULqzi6xEjTSOkYtQ4D61rD7OHoAY80b5qWGDlghanXcVgYkaDJcApzoPO2U6jq5MweAMBZTqjbhObEHQt/twNbIRC4Xwaa2o9jcMVeHCHB7rBpNnwLTVHIZkQcxS2jNA0detUraEUrSJ1lpYW65ksJvOQPtJQywWFjTOTRAOIxGehdCjhrEYdRaTyiGdwJKPHnXCALSyC8HtH9A8xzfjeLCAI+4XRbFbCzeWDQQgpOQgEABEU4W4RoDC1Wu8uxPF8C1Y9LFLJNInROEwILmTD2WF1Yn8HCg2pOEmiJIqXKcyNlGDdt8BPrrDpQ/wDWhUd/CCrQsLxYAZR9MrDXAAHv+uSs5XZR1WULRhkMtP4HbbvVbRyowt+lV2eu/HiB+fGfKe0gpVdLWVZnVQKDot0aBF0Nh6uB2O80rH/udqa/4kIJKIOp5fkBklLlLo4TMQSWy81iswfhJa4bA8ts7TKYpMKEedgQGJ4BkcktsDe8E+0XR8+ij9sgMWPM2gGSWtGJWQfwmIbsY0ayd5K0EutDg6tR6OJuhFUCVNiu7CIg7Lh6xXjVKydog7K4mgmCw4oUKBd5DrsER0/FIRIJXfBbNrI9h9iT0RYQaGPMs5qcl1h5kSrAnXoSoaHs4Mm+LQHKr7Fw19tKMLmSVKP4g6Yxa5XcKAYIhCiN+CboawScaHVm+oO8HhfALrr1AprxQz1xMTg1ugfE7RZHJzmK9q0BQWXEKoSGmFSeP/KWH2oFNmI9ydNVnvsXFXfIygGAzxC4VYciToCe0jCqd3YIgC8AZzLc5I2Ns/BAsxZPZ7mA6UpNlilUVbKSE0ZKtJG1ny4lxN7OyQOdu+ezVoHxXozYrhPy7k7QrHdRB4NP/GRyLMyWTYLcVoiJWjCZ27XGOpg7yxEB8sHcQDebokfltYhxAzBkCzxtmLZYt/gJUOXo4sx5IPAmlzMkE2iO2QMbhMYEHQc6CjMrhGBk5buY3dS34GnhVhkIUyJ9vD9FGr/zr2fnj38LNqjIM6PDuAjEyLrIQyxByxmzfsgTSc5jAsktsjUfB3VgCo7OgBOZuIS7zMM1oFChn0cOph5aZf5jgROrhgWf0wUl4zy0J0SUHPFxtq5ZyRgy0suLAUBILQ1q6l91MF/VWKDkkmyLaLMuEK6SMyEUHoUkvkjxiYoCA8ZuMyX6URv//+s/82luIN8Yop9yGZ7kqVZ5VVdwOCPG6mOgv2tsR5zfOpozE2vb7sNAXhFKEwzW4fq5OFoUSvHDkWksB1iTeqzCONkRkxfLAJWiTpoo4tUxTQLnCVmurs4jRwDmJg680LgFqMHwmL+Wdi8A+RwCIRR6KBFHgQZEEx36WN8YhIffGUyRFwiLZabpz3KJe8oc3zXeWf5dIMJn+rBH5rdlyczQHICzN4dsJQJh+Yc+zqphE58j6DAUqTqObBRym8du1EO4yCGPX0ugd7pZnnYDaMNaGcCEcP0wePYWDhZqYCNietgGUGfVaPQXq2jTVfPQ/38UOiCI5HNZ8esyf3TEanVtNRxYMr84bcUZpwYB60SJE2iE+ht3CoDH1Rz3FruIB4gW+V6UNQoqvDTN2B2blelrqQ2aQvBAEwLHk2RqvFM85g4sATKO5RZeLlG7AdChG0zR/Q/6yhz1yu6949CDEGZjxOrLDKZwmqA7UGqwhzF+Jkw1C0Utiy+yWXJHYDEiHGwFVS2yUl1w8KX6dCciG3lOCYwTrAg8JoR16TyrIDukNiAJsa02VC4h71ZXtZlG28wiEAAABAASURBVFcTDKAr5bJ9eHoQGMEpCkjuXhyymMQ4ZC69Clswp2rLOGXjVBMtSwdfwBImO7EO25LtedRRlfq4hDOSXOHtm090Le2xDiKBKqxSP6QhcxxmpAcbslx8pwkLimXUPtpjq6uY7ViSx+JnizNqxpYImGzA7j1RlxWnGDi6ZyxTV+rP60njzjyHwr1y3iKlX5qrgMCMLZjk2GKYcYxe0+DZmU1RZR3BZvMBKLKGoHrkLjwHTy0oYOItNBEEN3II03R42CyEKfx/s/UfgLZW1bk//Dxz7VMAFUGTmKo3+ccIiDHxxiTGbhKNNZqYXDVNsVw1gpXeIQlWlKaIYAHRGCLWxMRgryBYEEWxgoD0KuWcvd/x/Z7xrn0wN9/cY845yjPKLO+79trHojTPBVR4ecSjQ+BQk21NFZ00PBrTQagNcpyVTY+f0UwMohM0YKLmjax5I9w8gWI1DYjdcNNiZXJ+7zHqktPEHKBEfqj4JYNMqmK08tPMzBEE8KBI8cgBQZKIQ1d2s0tel6XKeWCLZl7osrgxBlVLsZUsTeQPyp2CQiBVNKLBDIOim2tqL4bCW6gdFzscEHloIVseQ9GBl4RcZjJNkq1FF1Bw8ijLoo1st+Q0dUM9pGp+ISySHLHwkeA5RDegom4ETqLbw5jgwK0HwZl8RVAPwQ1r4F4VxlZrPfClS3KawtvSWNjDCy/bQrYMKKGMJSJY0+Lj2FJoDiblcYUicr6WbdzmFaPgpYSIzhrqlgUFDQw7RcroJ7rwjVwwAoJYGhZ7rl5IJaFijsvwsIdCiNjMvnH3h9CZnaFDSNkQOZtmYNKYxIMiWgXGs4oxcdFYIiIwmPiY3RDNtiyOcrhgQMOnqggWo80kSlSabbIMZAkGkZiRUkYAbJojS4N12CJkiA8tzIXMFAUgrB4KMzKYvNgLFyb0khI2XbTGMg8ym8WjV8AaKNUuIiRpmbwwS0IMLw0426K8gJOiZLlbMYadLfNYlswPyGYMY9nkKj7gJU7FmlsxLXde+NmykV1lGIySIYSuWmLDiYOyNz3veSGDb1OsnIIVJZpQUiS27AWvnWE5pYgVDTHSs3tJwcmWwowMFJBbW6J+yRJ1M5m+tFvDkgLWHGuQCVG44McqNFtl2fCTeVextlIkSrApxmUVLmEtVHTAskS3bGauAUvTYthN6uisWHMbCWLlJ6EUjqAW0hDbN4F1mkQA18CSzIST2cH58WEFnL7k/uFplcIVjswkHVaaK2P3sHRjnyzZECfNCJxNm5Emx9I3lVfz1QvHuTzhW/FRlHCi8GJ2+fwvXvClT355bWuhC/EkEdctMlDwYEpe90BegoBsyB2mXrg9Fd5zAWbh+KhIBn7IgjKwLQMLMEaoXKZhds0QKQ9FsQSHSQmzAUANrJgysogWSVLI5iyCn6TO4zUM8BW4ZUhShJTLsRu+KDQWfHNOmkEWTHlRrGcgcMJowJumxnqMAYc6BFuo8RK7MMyNd0ktS2qzLXluzJKQRfO2XUWYjNrWoItqtWCcyWmFnR2bXEi9MyIP8cGUGeTCx2UERpUJmPqJDFf27Nt8lXI98FlupLWWQ49zDTypjVJKNsJgwApHnoy9TJvsSEArXSVZQgneuQZSFMVLRUqqwGBEmwBDRm1EkWGeHM8qJg1rpPicLcHBmY4HljBsn7up3ZcswjZqd2ozcNPAlQlgSzWUVopmDNIKLeBh2ZMGuy2TexRrhyxEd5OGYNKHXQiyEoctIbLFUHQJFBngw4nmyZMCiDlw3BS7yEhKW9ynAgQY16nc1mLE0RGztzZAIOQlHIKmIeFqM1lOk6VhxbQULUMgeoZ1DdPEm7wIkMViQsuo/NpimPIwgYg+wNqSyDvkLD6S0qYaDsqyaBiZKRgQIjtZPDpmTZIJVawIieNQGr4SIeVIdPzZG4tZiRwVHaK6qKVEwH8aZlcRenMSJPXaRMN5zWs2yqGkACXCTqgk2fjKMKIVDgiYRvooTdEIXaFQWo2gjcwSiGiaxGAZkcEcT7KIyixldGGKHoZjFvCyrPAdEH6gtIdl1mVFIjkwSRN9GNESy5iMTChPwGcrx5HHATdQsSIBSx3ss61GmhjiLxS57qIZiDoYiHikWImS1jTJVCzCIQaHXQIcrZmVgU83z63KUcp5sVTqEc7tATKFmNlh6IS1LQHvQzP1IeLnNFmZ2OJyUoi2VvgxiwVkMoWiwaUZROYYultWqDyVgGGrSnabXxbV4qxXYCyuFGTB5QA7LCgJc9dCEAixmGzZFi1gKz+oS4jKsaIJCRBZ2yXgRDQNnuyWsxFdF66IjcchdgBMpisD2gpPip5SIXp0xkReBLY9vFojoRHNXRBAtcacbS+TpYqCCFSKR3iSEgE1hRWTMWSGRcMoEy0aC1sGyZLcQ8mJENGy6ZLcxGTD8itQZ9SURJWkFA8EG4S7yDAlTni2ros1/oAqy2fDSmlWRJkiBS8J1q2rcBbhM9DjUfwtk6BhscBlCywjVBKFoSoXDB1VMBGKnJmnhkrzJaLIKu4NA3qwzRggPJoOyj8WRIHY1DwGttMCyiAxVFxaJkihGVHDVCuFGZSYUx5okiMQKYuorqJg8U51sMGqJkLBNQUchjmBw6aT4KdBiapKsspIOvBDoCxGIuMcgCKrJJhmGSKCjIo4GKQMWCClYV1nI4KaI8STY8fmiku1lbuxZOZjVUwM7KrUPGbqzIhYzKIV66ZQOOKjJyojy0HMbcEWFfYqllYUJY4YubdVsk2XOqtoQ7IkKmSEIoibuo2V3E2WuosXoGF7ORkmpVEaWjgiyrDpiIJlojJGz5JhIRbFetmK5pFYQkxgm2Y+8YRRqdkJYNE8c/2GNY5axyzXi90KJh8xYZB6SqjlbrSMM+8rkAEgVMGkMwVnZgm7aDhbrTFSmECkjC5kKqmYBN+VS7AITvlDVjezQNO62ARFhmLDlKWgHERqZRjjiU6EKbqwiZapmDHj2BxDrwGtZDaoKip4ifzEEZs1T+ZC2UatBCUEvCWZheSgTYKwyLaMAV+uy0IrGxcb+NQxygagr+Ydbg0/iZi9QvSh9FgBNJvgolnEZkXFxTMydsvNaH0u0XpgdrQGVjDxRbekIVRLksIIUGUf5H45o8TF2VlCQGJ/zKeyCNg9tRcYiXNlJqbsIJXGfiYkcUPdMRd2MPEAhBADEyQxQEoCEoclpit4BE+Cl0yjFmbRiFQVK3wcwZA5gmWF1C27LzxngbHoce5pmwWJ7Q0VgA7gRpHDoMRAyXlvoI6gVjFmq2KSPZlK8SMOI0BiFWAnqDCDy36KlqM3dlASDNfY6pX0MC8GO4TVxggLImY4Kz/I/P4u+HRAISmXk4AwjqlzIAihSNYBS5oGihx+vEoZKa+LDVTtZy0bXgISKTq6nWFWmJ2KJ2GySuKgxw4CvrCKzL1ZkqLFqLm1tuDTYwIJBKnalABYmZTYk4RvcCCa13ojDbqYgixgS0vimE/wns0BBcY8H81oIG6WRUOs0ZxMQ0M4sx0jbpIneEqhPASUZbZc5ocEtkUDwowMEDHVpwAiAItU/cTNJ63otGwWEQg5VX6VXY+MsWTGkLlqWpdQmt+Z+bxYarquKjZqmTsHja0IasNIyoFZrEvlYg5FdluKFRoV5fPvZe2OHnRC0LERveDyXZ8AACViZyZLwKwWmDo4zKiuWTQkAbY8T3GCgwJGSWDCs4OiYS1t8xWsnfUmoGhFWUy4QQjsLQWhgdAsxyKMnB8bFbiqMIrY+KQrkRdzlEwSysBcaLgsKQMvtIyiCpG8uA/ugALvYJQWSGUAo/LSaZRs3qjWUuFgVYwzx9YrtnjBuIwNE4S41IKvAkW0Ulpbudjh0bCDdu6wyVKF1dRVvTeYmeHBVk+WB0KIgJItZejUQsClgIDu/GiYKzCKK0664UprJUwBgsBBKElPKRA2qke5TlG0FQYv2x0wd0gma1JQwBRfo4WXHC1xcJBQokADJNYihsp9mJxaJ5JkmNmP9RsAtorWWIjB8gqIaFgCEEk1W7GH6EXk4Nhj4rDn1VI8EwdvgYqpJpvFKA0MU5VNQHY9cvpSWUse0XQIBTAixaVQVuGLcxKl+HkGOTCABqKYZy+lrWsFExlIqg5KOVwCZpmljFks7z2CAa1oTKsRvexUQkpmCSNsxYJsFK0h5hBIoFChRiNFZZrmxjkJOFtcmZdK2bmvIhihVRmaZ0CwB8DKrnaXCGjjknBlUMIlyJJpDDCUQaqhmOnoIXDhBcvqcFsSSuFAN0GpL34cYb8TLPONS/k+iT/E4ZZo84ZihQ+ZAXcNw5l49pCstK4zwfHXrIuBVKrqNLKdxatbJyAERw+LRZwaQYgfv7aITcGlZcJiRYNUFhFBElLdNTd3AQypC2wnTgZSgGhXMG2VVTNDgTK21KpoURRNBIpjKcYUoJKCFAK+hQhRCAAY1BiE0BxDIRRzU82uMafP0HBzmUAbpnntAk4xwskGZfNqVYJZFs4xsg1iFciRzDyM1ZJtWQ0TDMthNcqlsDAlh3LiZdFYSaESs1uDhAywCMExQM2AbfcI7RlGgEALRcV7fZYIAEAaRJ7PVzQkLevFk9LQoYAMuo8hmvCZgSa9wSKWshCA8P17BqGXLmSYgsSCPTClLNGQ8YOZqSSi4jnhQ/mT+JWRGRik2RXQHK3D18xrWVVWNgMwREmXcM4GiNblJhCPiKLERsKkxYpT1YiJColDVAgGFASfb7DWFEIB3gQpceLwsCYYgWRjBh9eYQlS5q4UCPQugFMLIOMLP8gqgHECwNRCYSJBi+EtE6HFcMIrMSSkdpBSEGMryAReBIEEAAmKOZKc7Wh1GHa1em57AwqjJlv5kbBmDbUGNFVirsKUQcKs9grTPhH5rQ1IJZCMIgJli1kSERkiWJZkFMxNcdnGiFZYG1GFHk6WTXnRE9pgEipTehEBCsuWu80Ns1hGpYow2KuwMqDCZtZWaDHiN8LRo6zKX6ARuKXrj24FhjvajOkFHy0TrAVfMCRJsHAlkyXvGSoRiEph87xtCVXrCpgybxJMAHFhrLgtu8uBct7JlVD4uiR+ZZg8yTa8bTi0pIZtDasISwfOJSV23GWFapjI5nURAH0IDJYEkWmyGBnUnu0L68pgnGUMFo2SoLCe91lMdKUVqArDjhcwWFSsFwYY1jCCjZUFkEklS7JNh8o0iX3iQe7KBQMQ71gsXnS20jrF6DgoHCZ9iDhCg9fALWwpLSeOIqZCOx8HUqgInGIKYDGkuw9jEhVLOIATQSXSOHUo0WatJMPhIialka4nFZqKNaJkWutgeyeYeRpLFocFFqrkKcElBQChoJxydPAy3DIbyhazcgLOViLiQ/F4qX8XWTpI2xh1w4UIBZ9F866AE6Cia71RhmqKJ3ua6ku9LThr2QhCOpzIWMoeCReMTkOBOxIMSBi04eGUxAXTM9bwZIRQYjWRCIhQZQQKKHxVrWEqRdsIfjEaAAAQAElEQVSoSTXVWnLh4ULsg6iuCjygqkYzQktPValXNEcr+BJYkMsyZk2U6LHgW+hwDMD4F9poUuK2dCgn8QBTBRApxozoJU3Cf9aVyIWKaDMGXp0kDK8BrpwKvoo38hLMlMw4VKCEAzBAWaaJUdkLkR5BtFgBSDhCFMA9ggIVEjZKiJVEBI2J1cQycZEwy5InBCbYBGSigMIICZcoLOrpIEhxohMJPHlLRguRAgzxLEvy1IoYkV3capQipCgBK6PE2RIpMUoT0dB0kMJaNoFQsnDTRCu2uVkAdrsXN7myLahA8KcLMPCdsGKVLAm4iDr3IhBKYCoZBwRqQ61cNRUBy1jagwJwG1EYxjDYwyIBbY6IDUbolTBjDY3K6FKXQDA4YUZv8xZ3fqFZwPEv5+Uhj/BiXlYffMdOidIk7qGxmSCaGxwkZaASa7III1aDDmCVujG1Z4CmtZKcjVSKlKkJdXmJkQ0HSQyWBzXwdKoiDxSyvRjDWMYQo8Zk2kBVGkQKCHe0ySFcy2Ki1mJWUWgzMjyEIaBGB4kg2cLsNBhpHkTDEC0TuqlB5IXHVjxxLEyyJXjOjsySTPQkLXMPUbFHYawJk1ACQQFTIFWWNHJ1LcobdAp1TFGIdQ8DwWhyAC/6kKCysSy75c424Q5YEwUvrVgcPAFxAQajbjwIJCwlXbyVBgBfF27qngFlslU3rooaHpVMQwIh8yMbo+eQPaIoobatycMsXxII2aIV1rAuLjnlmySN4bnDVICAVLG0tpIsajyzUAdKtS0GK+GgMQkcHVM87YBle/20sIltQSMxJIXKlpTjECmEr4jSEwYOANWQ+clfSQNhn5cFkJDKhzDGED9JthUWlRHajTgdkpRYOQG2ZQ5SskiB1a3gPsCX0pYMr58KSnKwKg6rquAlzSMT8mBiFcSpogI0UBRI6oUXeXVHSzwV+Kiy2aYUpTv+JKkpMelsZgn8XAys8nyjlWQRooSLGCGxXmVPqxrhjNGrGJECFWwpvsooic1UNxg3U4qyeViCIaud473kmJYS4StpoxFMLfVFwCyvYGIjFjGNRC0ViS6qAO+wTioG1iUThSukOW1AFsGqHGunJBiwOIIFSLpykNxnZkRIspVTIAlW0djgYSI4sWt+FtARHeOsXLeiECtCGa7IMyVIFcpOnF8DAMcqEXQqxpC6ERZrSSwHK/6IPBiM6Lh1UpsKiIRfJXyvUKTQsuG3DsAzgYDNd6SInCw2RboyAgmJcKaRxXhXsX+zXustKeIMMoip9cRBhkrsH25FwkFNMaAOCKehmBlQEz9Px4AVjaQZSWbw6TXQxYOTEFfYfbQ2MDFYHb5s9B75CY9atliABBM9KofPwCzSglBOkgGWosOUMXma2GuKs5AlnKghE3jOPUnjgrmVFRQgYSYOJje+UIRYhVCGtZwPSEuGM0uSZKk77s16vaEQfHuwivAAID6RGJVOJiZGsgzLJlYh2tYwDZXFj9OlJVs9g2CJ1UrNrUwrJQIKfFDAhDyzWXYqEy9LhylGEy8YYjVxBYis6sMuYzYNRCnIYsJk9C3a2YqyEi8jjMozVzVmRmLrkeKsHmSicGRYqCaqbL2lPJXUwIVT1iIt8WMCVOVZDgM7P/gguDIsnAvIpccbE47o8ZmZ2Q0A1miU58hUob5uwaUDiwEroOUqKAlBnrBUKVqDo0tztBI/WNXlhWlLsdECqcCCtHHiMEpogQEnYCQMTEWAQskkWSglZbaWjfMtNioWV8IOwbO58JpR7Dm7gRUXxvBka2MBdHNitGg1Xwq4dU1YHChvQoVEEECmFVJ0HE4rFQUF5/fLdRNbXBMCayFEVt0oO45SV4Abt8aiuQYjNFzYYFRjMZEwLHUwNTCXYRuTJEWUmjWquCIDFr7tVh3ZZJQFUbQwsB8BLrN6IkwIE5S3O7ii8tSDZkmFz9JFqUTIEosgMLNopre6C1gK+BEPgQoZ1b6NohRWwU5ZrSTgjFy3Gnw01BI2UdMrJ61CVQ1gp1goIs9Ca6KlL4nL0lyKN63rRZPIKYFODcJCCBWlMAcMBjEjB0JgEBoZeF5YlQag7DoBIoJorLo80agbJSj4OWa2a5ZRsXjXWP9tEqTN8rg12MyEhnu0du11V191zRVXXH3FlVf/+MdXX3bjTTeoxDsCytOVZVj5kRMebj7gzuMgCZSQdsaS7co6HDmVa00Vk2powtkA1iZNk2pKy1ajCzwQZYEIVMEbARC8iEMMXFjCpEScSh433nz9tTddc82N11xzw3VXX3/1tTddZ/IDntYo/KdJ80uw5gtoif21BZp0hKryJIhSiwPgsSoVY/xcYp1irCIMKomtA1A0ihTeHXlBvKlmMMFZbJwGs7pNLD1ZI2AnZAUQMd3skJKUsMgljMwiqhI0Mir0pjUnPnWJgWqdZLFpMdJFwkyEoMj4S2RQNyqYE8UU2/KGZ73C0zWAjDLjTBJZ0pkmSZMHUipGECy94omLF+jYwoyJ06Y5N1mJhwKbPQAPpwZzAAlmBjANyJZpmv0wi8NpAb0Lz9wFwpC7gDFFSC9L9pD5KSXW5BlMLmSLULyEKBFKJJzjRCVsIAiY9jV8ynGJeKCQJaKVIsCgcBTMxEI7CmfMsRMjophDpJh3hkWK8jyvFmTiO34Gh5Y4CcGEEVWvW+CDIY9FG8SbdQisKCC8lkcJJzWOKKPzwhA7dwYjNTAmntTFcHtrwPeiiicXJhkxJk5fe8HFHw8TTVQwREwRagAeoNBjA8kz67yEsFWZgEGBFggUsjgDRoJQTPsUWKNvN3j2Mk7kGMEWJXEcaNeyWOEpFk5mERMVlmBMZHFlqvoqGmORCGgfVQ00ShuTowcHM+JN+PVixA1PBoOsUh5+RnaMNwEMJo4McCJI7EIJ6EwSyUCU0A0tm5lJYoeBFyk0bAsU0GSRqdm9WkJgQA8mBKxskqJismCJzQhMai1yzXc4q0xA46NuNla4AJlwmDh0CAXujKwerZLYINKZNOQKqUNN7FWBX7ciitUjFh2Wglgl1zS+sVY7K9Y+gNazkQShwkIssSCNJEIjcxZ2TjDu8WOf8wKnDgHFZicbHXwAI7WrlGLlMQET1s6Ccj2OpJQHrtdtSbzGyRs1fsW89IlNxGmVxKakqjDmzPjugdfgcxYvyyFObVjhs/lj0X8MlEd5iLWNhRYrRmnlv3U3ZBiZ8yLLNBAMlpmLN6VK9ofJ3DzuO8CSWF6u3yjKyYZoMvVXTXzuacJOBDlH1N1oJgKI3SIbAbO4aG3GgTkUHtGyrZwdmWwu4pANYIjZ9h3jQk4wSfaQyWFawYs2YWRqolQkp1M8E7GF+0K1KI0pBRPByoflosehVCHhBE3NAC/hTQwVMwSsqhjhVdNQmqvrKs15UQ6xRYGggW/nJHUR3OLH7LmchrMlSDTACh+xuM4kE23QJQOFi41UCKKxdW5U1KOyomiLIy5RhYqmmsAVEHRFtcakgiMeZ1iYnGXmM8uOMp0rA1BzswGGbQt6LybEIogJlSwC4+iEkhvFbSEtinahhKQoBRINLkVi7CG0EJ4lZXN6uUsDrxe0qZsMsRqDtQySgF2zaBwO1QBlJ4LKimbfwIqSAKns6qpZAtQAMYZHb3GdUl4ioI4LHQmh2FqEbGlcqvLJpS431tRuFQGSQpgLNQWRUMs2a9YFYYmG8NyXBMKzstIgqtAToajfrKZLc9ZbMYtdIAcZ4biRJc/qTPkNWJ6I0PaJfXTaEoSFhAOPqtlJzCFACt9aA4AhSlSJFiku1Gn4JsLg1R+6Ul9JTGyzxMvE4cNkd9BUghkYfBaUibxMQYZjxo5CJEXBdo+W2FEji+Ixcb8s6uN14LQqBAhlkZxJabBMgKf2HSC6KuAifzyBFE8cMPaEkXW68J84SUTScjnkPMaIGHCCwVqixJAUCEphmw9lGKRqwuDZ2nUrkeeBrYKh/vilW+2Kh4xLUYhSnEiFnYDmFlPqwrzUII/Be1PDwIaHPcanP//pe9//Pvf5rV13+e3ddvmt3Xb97d0O/6fDp9oaZ2ssKVihEq8N4qQmwloBLBZzKAMai7HYsFgsDI2VxWLDWNkwxmKsDJrTvTCfRNTNFpd/cuutF19+ySWX//Diyy+GLrn8kiuuuhx8UmnOwAtMxQdIXKa01bW1VX7W1hBquv/v3v/eu//6vXe/92/cD7rPo5/46B/86IfqZg0tzIZYYu+cfYIRzS57wWLWarryuqt+dOWll1x56Y+uuOTSK3/0o6ZLrrwY/tKrf3TZ1T+6/JrLLr/60suaYBAvu+ayy66+/PJrLm/m0suvvuyyqy679KrLr7r+SnKSEiJLjrvyv2GV7FJWkJFymFgekKyOCbwF3H1y1KayUA52CYPBY21lX73CWBxzC7zLsXNLBx4EQ++hrJQgpVI3eGbGNYsfoyaytEDC3XRoqgEndCCBUICVjeslVJEBIjYoc5bUPxW80ss9EoZiGFlwNIk432UJT6KKlgKYxCmDi9I0Mgi+/hs+F5sPCU4yZqqpYhAySeYdSyRbWTclSRZtyMQB0JsQX9vD2IocrEjUWeXOCB6KjQ4VEOHLsQFIPhEZp4k1MM1gRpmfzOJhS6j2aqa1LrtaV8wuqiqtJXoptYgMKBsrz5NmptS+JFwqFg2cIgU5W8UiiSGOsgqeBLh7mvKgcR9FmBLFQ7hiUwpxt8LFUpSSYhZ8ZsJYhkZZxIgxYdBrvbEzsERLRCWXAms3XAIvGxQcQGiyCWDhwMDVLWEOFYOERLcxwnoxzIGxgdtyTFEj2bxgzbUo8PTOWyUTZkjME9JUcCLYlJluTUhiK8RxYVXaZFJEoAhYOy4118iK0BIr5KDNhjI7jbnoYQ2MMEhoAqaLXUg1KMOqt8gmPM8de49LTDVNplykKpecdU38toB3m/EtvKpgOOoxMRQa7iHE2kaJAFgLvPnwnxeOECSTEypGkMW1pwQkk1eyB2aH0dzgm6lhjLBTa0jbM0Oc0YdKNbtLxiJhk6hhTUI2VhsGPTVLol4REKHkbsJcNpNLrCTvKERVw8roGAp72XlJopEKWBVFEUkxlJSlWTDR49/PgNFy2jLRYwJGeSkDhRIrVpE4vISfEyN4NKZziIMpRMIh20NaXVvdsnr7xGo4zsUQDlEzm15CIPKEeuva1mtvvPa6G6+5/obrr7/x+mtvvPbWLbfwuZgdloY9xlgsBp+ZXgjRC1QeXhkefHpmGlqJiaA8FmMMsCuicWNKN91yw4+vvuLqa6685torr7r2iquvvfLmn9xsAhS/3soyrViY2atJi+LTTysFQ33i93PqJ+tQHqqFxL4s5BXxN3m+CUHgvZBWxOfZoJoVjwU1UN1iLNLGymJsGBuoddgbxlhZ2RALRiyLgR4AmjEWY7CAxcqKVoaG+Qi+/ifXX33D1dfccN01119zzfUw16xNXB7KUCqnGouNKkYVTO5wDh8jevEwU1t5Yi3UqV4dy/gPhQAAEABJREFUzFjUYp2PcpTHNDyJ52do4bQta1uvu/m6G6Cbrr/+pmuuu/Ham2+5eVBWjGKobpQgiQwS7qihmjhXUZRKIaWV3D/CKhkr+WAofdKy1QAf2FiQaKlkmorBlvJUMiFNTDY7WpqIBWBa/+wQhRHVvAIDpFNE1Zos05RRio4gOI5UwxYZJWq2C4aYYlWdQFrmJWr00pDKJfMDNlbkcCCYsDZRifAFhVtlmclfuDYvDNPsyO0bJVoACWu3MJsphGwL9WFKDRR4W+hjbbBFYegQogdGnQjZD7MdsJLTqiZMkKnFsghac1zPUhQFlI6R8ogWJhlYAPGx4NJqokiAJcZo0glXRiHGaoXSSIpzODoHIAESrXJpmLGux0XCs4JgVgBFmx1c0syppip2HgUEozQ02ItYkdJZa3aNCT9jFPAYws68W8Sp56QQ9bAZTQwAsLZfrLXMoiJPa8F3KOqU8MXQMo5zZXiYhMsbQEhQFjN1gYdLMAGZe3TVTi0ThNBVUTeGxEpDIxRUVZKckEncDBq2SDQcJWyJAYMzgiRnc0ncdqUaWSYZvOlNiBQCy/uEkfCEsVHD4oODqatq4sJAYKo8EfrWLbdeyb9cXX/NVTdcFbr+qquuv+rK66+88jroqkuvuIzvLqUJWuMDSOI1d8vtt9265Zbbtt522+rtt6/evmX1ti0wa7dvXd2C1cMLj0HGxbjm+mvP/fKXzjn3i2d/+exzvvzFc796zpe+cs65Xz33vK+de95Xzzv3a+ede/55X/76ueee/6Vzv3YudN7XvgTm/Au+dstPbpH8hXO+uNcr9nzeXs/7v3uGnrvnc/c9ZL8NmzZiYjXQGGNl48pi04aVzRs2bFrZuHnjhu02bNxuZcN2KyubVtZq7bYtt1etWmuMLB5iFzCFNi9WNi5mx5VNGzZsXtmwccNihb8oumwPjeGrrr3qVUe/eo8X7PHsFzzn2X//3Ge98LnPfuFz9/j75zznhc99zt8/+9kv2GOP5z/rWf/3Wc96/rP2eD78Hs96PvSsPV6A+KxnPx/a49kvhJ79nBc+5zkv3OPIV/3jlrVVdbOZOPw+HjEWHVWosGGCOCHJWODVqIa1VDR0TW6NgHrgHVA07RlBNOAFn9hMAqtuAYbpmaFxBCEr6oYmc/NhZghi7iSdgBGW0+yNAscqJ84cqF2L3ccFs8MxQ0Xv7RDX0QihOEZJhKUqAZesarhiFS7RJYTSShYGhuRbZs6eeLbiNeE7G6uibD6MuySUbsndFIGerYxa1RzXG/RozbZhYvFYQeDQWrv9m5/M5KQkRZIWNnR4SACJJ1rRm6KS4tUFS2gbyxyynCnjDBU7m3cXcysT0HDU08ApCmTIKFIKGw7XVKjjGQEzVlZTke4YZnvlVQ3by2hAuNSQHoXWzyoGJXAVn5eTuiUeGaJmeb1pUbUtYfFmYjHi/oRTpfLZJTtQNLGqRO8eEAY7GOJUFKIIZChicLKROpYHgsICAw2kGYYgWT02lGRiBCC1Q2TiAhNKOKy8TilGhEZWZmFrElF6IVgSF/ccqH6qZWMigmACUGKfKMAE9TJawtiW6IyEtLzMUF3McquSpFGiURujWCqYjhYX/JoIJZRRJVaQEr+xzCFgG0UMFNUIGAkOyUxZN/VSLSmUOKRRwZghjEDBzoQyAdJFSwSmJu6ApRTEON+ulsiwDFPifOFLhJdTNx7sg2SbLomJXej41ATS1MNBi7aU4EKWcCIcI6RyPwgsRv+tgSNEmYRyEhOmAS3ADTpkzQEc3izAeNx6+y0f/I8Pvu6E173prW86/Yx3/dtHP/yNb12wumVLPosIWUnp6nfTGF+/8Ov7H7L/Pgfuve+Be+9zwN77HrTvez/wXj5hx8JajBr64aUXf+X8r5z39a+cd8FXv3zBl796wVexLhYSn1KWF+OmW2765Gc/+YnPfuLjn/vExz778Y995uNf/NIXzK7xC+XCHznrP/Y7bL99Dz9gvyP22//w/fc7fL9//6+PLPiqkRVRSd18y0/e8vaTlvSOk09++8knv+MtbzmV8eRTGE99y8mnveXkU99yymknn/LOk9962inQKaeecsppb4Vpeuvb3vnWt5321re/85TT3n3qN7/1jZUNfH+ieI+FLrvi0s987pOf+tynPvn5T33m85/69Oc/+anPf+JTX4D51Ge+8OlPf2E5fvoLn/7MF0Of/eKnP/fFz5x73tlTrV19zdVvOvmN+x2y736H7rP/ofvtf9h+h/zDIVded1Vx0FNZYon8ehJRLGa+ATAIZt8+9smzTjmNOk85+bRTqP/kU09+yzvecvI7Ts7STj0Z5uRT0Z98yqlZ2sy/7Z1vO+9r543FYqwsvvaNrx565CEHH3nQIUcedNCRBx94xIHvOP1tg0PRspnNg01Cpqbi8PtmqlruoVJYDFFGT+VK+bEim3XQE86Icj76JwtGuXkMQqrYwqiHrB0Vl7RFNiEadUsYDEbTTigzowZGyDxcMiKEjWdQ2CE8MKMSrtHRo5a47tVWtxWX+GKDzAseh7bEuuwWKRwBaHzDV6Igo06KmSMLNiJJ/YFXYWNqpgVX4DMQ33k7sxqsVotK6YjMmhWzizUQg1UjeO5g8qptMIGjRtXwQDlCYmLFiRETNGuWW4cHaMobWJZUAhIe9ZJzvu7OPO+l2JRiPHO1TF0RGXJkBG7qWOCinjOxdlGcaCgZZ+oYYaOkEyQSS6hIve85h+6zxcGwtBxiazp0uLgwJ28vlCiIZaMJA5CgcMgQTIoF2tqkACHu+7J8Mhk2VtaftLiwHDNla2KAJY0dHevLDAvh2DbwWvJKOolEYQIVDOKSRQJN1CwkIRI5SkpkooD+lMMKoUgk0HCYGEeEdKIgthIWcCuZCQphawqLsnk2lFriks4mKFZmeyzGv//nv7/oFXv+/ctf9PcvnenvX/jSF77gpS98/kte+PwXP/+Nb34j4CHuS4iqP/GZT7zwZS984Ute8PcveeELXvKC58/04ue/4MXPf/5Lnv+O09/B1xvhI/FF6Lyvnse3oz333uvFe++11957vegVe+0FvXzPvV62114Zw+z58r1e/IoX77n3nnu+AgDMS/Y/7ICLLvo2BV573bVEOPu8L5193tlfPPfss889+8vnf2WxYTHMJ8yg8/3qmBOPPfJVRx75yiMOf9URh73qsCNefcThrz7iiFdBhx90+IFbt94+NEwt6XXttVcfd+Kxrz7m1a865jWvfv1Mr37NMa957bGvee1xrz3+pOPPv/DrKxs2EJpPONm3bbntW9+9iBrO/cqXzv3yueee96UvfeVL53353C+dd+45551zzrlnn3PulxjP/tI5Z3/p7NA5Z599ztlfOPuLXzjni184+wvQ58/+4ufO/vznz/n8F875wvlfP3+qyTaRubpiyg3hcJpQU2rOUwyQJM/UB9eslm2buU18g0YPixqCl0ijwp8z45KFQae5oYeiwycTaq7L7JqRPhOGOyhI1ITdNnIJsRdPFgEJFgLWwsRnIMYUoDhIWOaB54+1rtcVI7cUX4knbSnGr8LLbFM4wy0joYem4m0Zi9ZbiR3Odjoai6tLFhQY5lrhTRzyIVvrLSmEEjOBVZMQCE0KUsIHSBBUkbEqj6yyEkztA58ZO5rlCLd0Vk1zus7rbBHBQsHQoUB5IcHhjjCHSw1RoQtJiTObMhJJtLBMLEB4AnHKTTR4tDOsi8ZA4aQmMnwoJ0gEPIESBiOjOxXMOiWIe9PdpTSM8yFlp2v/5JyjGL+W2N7GCwYMGeNPtPZNMSDlwWGhDJ9imKucIJSntqKSWjNnWI+qObAk8yMajrAOjFikyGKrsJIEPgasLaeYuNBZCX8hhKkoWZRA4JZEBj+xes3NQFCZ2AnG5BiMQ9Su1iJFG39mRxeD74CjJqgz4YeeHVJis01Ao28NPBoCcJEInvp0R/TZ2qPmNocgbpRMeLJ0kUAdR62IAQABW0Y3A3qLAKIAAgJznugcBe4lu9osio+NnpKwsYdOkJgTt10sQd17NUtD4igteyw8SjOGWMGjcuVwEYxNaRMZMiupC2T8CmZWSrAkDaFpr+oRCUqoxEodM7ZwkHL9kIP4KXRrkHM2lAZH+KGZtdKmuM9sROy+9obr3nXGu4963SsPOuKgl+3/8hfv8+LjTjzumuuuSd4p9QdOLG6160eX/+j9H37/me9/73vf968Z338mHzFbV7eaNsbWta3vfM87X7LPS/igfPHeL95r7xfvfeDeV1z1Y74M8AlO1WNlXPS977x475e9GEwDXrzPXv/4yn80/3YzyWN86zvfet+H3/evHzzzjA++74wPvPeM97/3K+d/lW9oYhGpRddef91Bhx28/6EH7HfYAfsduj9f/Gbaj683h+y37yEH7Jtx3/0O3m/fg/bb7+BmGOGXtO/+B+17wMEH7E+MIw/+5Gc/NRYLjwWfpPz59d8/+u97vnxP6EUve9Hfv3zPF71szxe9fM+/f/mLXvSKiHu+nM/9Pfd8xZ4v2ntPfkN40Svg90J86b4vveUnP7np5ps+8ZlPvfcDZ773/f96xvvP+Jf3nXHG+/71hptuqIlj4apVicvhfq1pbpXJnMhqTae9+50HHHrgfofsv/+h+x/AeMj+8PsewhIglAegPPBQRujAgw498MBDDzzkHw//+Kc/yb/C8Z3qh5dcfPp7Tj/9n09nfNe/vOv0M9796c99xoPDT45tvcRhMjBC3MmiODMwrYOoBxYdpODVDI8JFvNEizkqJsc3t1pzQwXlzptl46IA1TAlHRsRpDHhxp6ANRrilMPALzG4toIIxSZaFl6VSdgqbd1FYbDHut5Bk0LBLq0KrNMUWEhpmdMrSOHSjMklepCiVZi8lLCSXYjFSwYYLngaDMQ6VKwJdjnGzM2Nonv7Z0Dahgy2UBJ1LoCI2AmaVS45JiATnRTkzohO8+6CRUgQaeYlDTOAs5wW15bEyqaEbk0kMrPJXQcDhanb/KLBB2CfaLTwSpkEIE40mvKdsG8brnZ0sfacQdmCCrqELwE1LxERLiq2jurbqxwk+lY0kHxGoeRZ95lnwCI8VTdAc+yelor2SwFhqnMBIrbgI5fSeAkjQ+TCyEISJFM68WcnBKxtgs2MMy6drDXRwUB4IFAhHog8PFkfAlpsCJxQkRJVEabyiV6BGSU7IvWmzuEncdQgWUrAwOZtKpl4hT8ennUiqVBB6JsKmOedUiWSCr3pZX4xr9kU+eIfXfxfZ/3XWWd99GMfa/r4R//rYxHP+vhHz/rYRy/4+vnD+OOoMPYPf/iDf/vwhz704fd/4EPv/cAH3/f+D5x55gfOfN8H3/e+D70P5ktfOXd161aS2YPibrr5xu98/6Jvf+fCC79z4Te/fSF/7rrgwm9888ILv3HhBRdceEGPXz//wgugb1z4jW98C7rgG9/+xoXf+eZPbr3Zlvs/4GDCJX93lG6GVSeRMpkAABAASURBVGnwMn/rqW879k3HHgedeBzfo44/8Rg+0o5983HHn3jcW99+sthg24KGpZtuvOm0d5726te95jVHvxp67dGvfe3R4Rlf9/pXv/64o88+9wuLjWNlMdjkpGXX+phICZsw4lBgORd0hFQKWaLRhNw4RoR5LOEi+OE0XJjEvhbHUWHWFwlgBuPbB7XMV8hhEyi8lSvRLwjPpoo6vplRtY0Z86yBkbwe5I6XSjvGgjHhG6dlm9SJ0BnXbWZkqbiCc+gGN2uCJCBLRM4KhUbwos0rmqUKTPM+dlHgLC6N7mhE4T0MkjIcUwVPIRVBeITEaSGXhOTkTGWiQFLgLNQx0j1/JrdSNFQ1gwuWLWVELTw0N/dkFFgls2ZyyUSfhNTe27yMnvKUBktQCBhyGHDxl9iI3gUUJROwFJnRxQOKAIsTG8ORJk0EVaBwiQVGuIp5Xo5hm2DmXVNNnlAB70n8yabsFGg5rZzwSgGAVIVepIY0tyVXyxm8pom/tJOTJHJQ8EyJZRRFR9xGSZqYyZ5ih9s0BV9RIDNbnG3KTFgipjzHD56piOop6WEIAIefKTjnwiqAFRIB0TPWmD/1UOLLFi79VB42wtTRqKJAJ6Jg2Ak3PyWkgLEpXZVoAYhQ5EKCin/rL8UDZzJFVR2OEX3xp3WSRWOaCB8UDiY+PiJar5JdUmAMUjTYA8tuSBNsxVmKEzXBUBaglo0djWyYKGdYVEtfsRuIdYehioCetwwtG8EIRKjhSpoSm1lSYIad/xBJZlRKLkpFDcGIKVhRBUVg5sQk52d2AQDJji4hRIsG+MyBSyRCUV8QpcgTRYFxTTOsLcVIQZyG4aClC84hNo0jLl4PVA8WTx5/9o5AxelHNs5o8J0msUfJJbaCgGq9SKyZXY+OxFbgiZ7iEBmLDuGXtxF/4Lvx5pt+fOWPgUzT9JNbf/Ljq664/sbrq9b4rcYLrWzyynYrK9vnP4KxYdOGGrU21RoZ7dSxVlWUX8NUL0q49MeXXvDNr3/zm1//xtfPv+AbF1z47Qv5JkbmsvlKsFhZ3L71Nj7KQ5dcfMklP/zhJT+87IpkT6USf51kAM/6TDwIAzLFTdkODoQvRavTWrfVtQo7ra1W/+fxGae1tVqbprVtqFX4tVhXM87C6pbVtVUKA0RAeRpM1rU3XPu9H37/Bxf/4IcX//CHF3/vBxd///uIP5jb9777g+9+7/vfm+m73/8u9J3vf+c73/vut77zHeJ0cexLWWyIKJn6h9j9EqOcdbhMQ8ERlWqqaapam2pa27q2uiW0dZW2Nk3QlFYT1qlW15qmCWZtraCaxE3oOOIkpN4eQktV1mAnLQtJJc6K1AiGL1rUarOxldLmUVxUKTj8lKiSSFZZVU2tBAmhjuyauK0dUz2a9BW7JxtVcMRoQu4IklM09dmBgomeTcyEuteEJRoOxwSE7cgMwLGtj8kRY1zZE0QCxKEayjInOpQoMkpTcwcQMbojzcUrr/+KKIAxG5cq1jgrgC+p1mtXVxttGWSxSupBJkxGrgGT4g/AeVqWGxukJ2Mt6mtHhojRZV6vCm/YspcGZMxLMiWGLWcUyWGqSFLFvQBbtKmNVMhcdIlgEEBJk9EVGBzmlzzKfDYxuYApcYvdnUPxflCXj5o9w2uNpJBEEGVRCMak/95IgyG6bAZ+YemkwCSxPQWAUiLaZnGUyAEUzwpxESBwsVMP6RYUQWlKRUmNBbzmhhB8BIfHhfcYUVVTrzqWiZca+0X6qWJVUQQFViuJye/4LorBr4gSHxcoeJ6KmZuSf2nFl2DRU9sIHCSbNoxauLSqan1BlMJeYUQ/zUmRJ5xQlICxotlMGVVlTSJJlYrijVWAUVNEUuA2U5wajzhGW3MJyp7deeSTrzKssXotFgt2JpQNXyODi2Vr0b5D4a04qzJGkyRIJC7YaES8STTyzDJrxdZ7iHoEiGCMYNFglApmCCVfbhhJiT86s3HoFx4IuFayBWyaUgbuKJFWV7fevmXLbVu63b71doSwmXi7koJFrrFpxexpWtuy9fbbbr319ltuve22W265jelW2m23IeJy61qt1hhm9ZWFb9yw8Zd/8Zfv8xu73Oc+99l1l112TdvtvrT77b7b7rvvet/doN12222X3Xbdbbfdd9kNJpr77LoL/K/9+q9v3m57qReVbU/JtrzQwrZ6tEdYlsj5s8g1jl7mRzR+ox2UAYemmIgSO7iWZHbLLBHfETOHgMGogGTk6LlUFgeIQXQX1zJYI3CgyjK5MGxmONFyOYkEAKIACO0yojQRjqD4uNhTTPhGglN8B+msSUkENtYpC4y9SFKmbOW544F0oU431085WQTu+jKpkFREsVEqUv4zOCIfhNyaiRYGVQErWyktKqJTMsUgFEqqb1WGVlEsc0cqmLke6kATjHAowjVP8cwFjjTmNERgAkjkM6cgbKyX4q20jJYnAmPl07ZwHGWTBgoE0zQJKwK8yAcnkyQzkZdTpZHAUZGkgkwgsK1qj2J7NB+LJr4IdOASO93u0qT+hSIQnn+KQB9hJDmLRmT05In4mMkOwzhTsReUj8EUgq7dCBupt81dj6i04AoIVPgxhQYlZE7pbhiYIt0dkJhHm5K6sCfSxO+i2fNRjez8lVqxsxlTmZBVpTgpSIyImLkfExM1QVVraCcBjwSIfOzbzLBwxFiZTA/FVxHKVEJpQoIfTNTZGdkSaZrUO66aCJecfC8FCJ4lEgYPgFUMkqi2CiDMnDcBZiVW7BgY8cPAzsPDaOmNRBiLIqasOY58OpSncCr1HJ4KSAw+TKJJosCY4NYSgHURSfiKx8Sosj9YcWGEJuWJhsGWcXBJMhuwWS+1kFPBVwZSFJsRtmBiDlwVDbWtpZDCG+3QMmgmysI3uEZQqIvFTFLLmHOCmUQYNrnIrjl+gay8W7CIEKi5NmibxO8bbIqKkpcXvuCT1AU68VNJ8eTAD1Qqtpb8iMQiJGP4SQMXaZpUfFYmikoiDXixqquuvuqSH12CCoC67bTTTttt2syvWdO0+s/vP2OXB9x3l/99311+Z/ddf/u+L3v5S7fefjsbyk2tmoqneCpCoylaX+yJbx5ra2sTBlTUbQmqTgHrFT5MRGZZYyFtXIzh/KBilmRa1ZCHUukQ7uHoHkaio1wsl8h6XGhFL+v/T2PP0OZgqqbqSqZptStkJ3AmDc5zwiE1UdvIf9XLblELhWzq98JQyiYsZIta6M4OJB49zwFlwQmzaLBFgRRQJDSbJtymEpQBLWupKTXBhJQWPQ5rBY4db8BU07TGV8jcmokALK7TlKjBKMjJXknmB+csAs7K7w0Wmu7TnASvgqvouBfMnYRZmlztiF08J0wlFUrAIpHsEMq2FkXasaMhKDzArNXFao2gkjheBowgC5lbmq3hBhspoKwoMykqT3S2DWRcioSmt1ni1+BwqUOGK/qS6SCdAq71SS4KIZT+ZwOVLaFuwGSkHsZtOLYPHleUnSksDjwspjBWhDkZ8CYHAkABgAuh5s0Vp3inRzsF1F2zk3o3gCEbFBybI9igMgeHQXOjXCXL/K5Axx7asdsOFJUS1DYsVUhcau5Zx1NN5v2vSShNAzPTQCC4s27WlzrIPhJymqIUi01pkqNEYrIUxwh0C6RoVkB0LT3MwQy0Um6OSgNuYssx2EPWGBIBAQ05o1GawaxhjjLwQsAIsKbYEVWe640MPjZRrC00Sklww4QVcItMDOgIJw17qA0wlqhvKhMEtmw4zrTkNGEEClvDk8YYvV6vW20i0cUlrgIxx2BUArraRsrJ7Qh64Ctx8UdXyBJtEg4XhnIcYo2IwuJVJQKUaKRglKVyiO0UFcYX+0QYyoQznxoECFZB25Zpo7xYLIBNogAQXNhcUK4Bk7p1ZDcr9DCY+nMy//slccRXMnkdWBhR2EQ4Ce8M1JCFgZJw4btuj5LiM6ITzgu6aLhLOCwGQoIJmMPLYp/QDyu6eSyZEKUOztha5rjm1scSUbJTUaGAsWgeDqkmEvIPZZwTy+R7Duqfu8fP77nXXke/7uijj37D61/3+te+9rWvee1rjjrqlf901D8dRXvlK//pla886qhXHhXmqKNa+Y//dNSruh2w//7/6173Ym/JJTFwX5O3WFjSRkUKDDJ8lzNGuFhZG2zuYQDR0AkzItpUbjbYbLpo5agl/Fkg5UuYRQsSq8kxBZPVI3CEXBLysjus33gRHIMtDOohWP0/rcosqSHkBB17EhblYKS+TiOsk2N0mVbNc5zhwdtTOIzCC5y1iK8FBkZzK46118iXUEIQpJyqhzVgzLKSLryk1kxlKdZIhhXbUqmn0KjMQquUHxwIxiihzZB6RCstNeWKa8MKJTii2AOGwnJeUXOoBLT4MRlslJ3C8WkPD7kbdknWkGwRaLBenlMkZBwkT2K2HKsomN6apW+qkss8rq4RixjA29lGvGBSnqkDNaxM47SNF1y7wosUHpImMySmYKqsrsq2bILwxFk0WPaCK0BqQEol6HDMOU4KswzFZSzcgRCCGEYCykWRUCIKkQ0gsOdJXQYJ4ic5hRlv9pYrZ6UxGj+WggQgsigWQAFFGTNTDTsKl4cH1USaRkapHITk+QUus0VmhAZrcBBkDc5pQihhhYhBMlAqm7NjgpG5DHTODhzM0GJhNs8EYxKbJk0RQFOc0iwLMnGGaJQptUoBT+SUaZPZcJmkpB5lrCKvzOp46/fEIsVGoMaBTZT7B+igetHJ4skosC7AgkPACl/E4AwHOjgb3xAZDQZvYNWsOPQS9RRnWW2MwY6VyNhnjlLtZgcuJpylwQ8+wwt7yLBQR5Hcs00QK1VkjaMLl4kG3qAIYdoANkSDl2UvWZyaU3GoGjiCtKzs/mS2mDS8AYumNgHXYpiGRWUZKn7ddppEIINhEWJ2wppvFE7Bo7KljC6Xgp+qVqctX//G+ddff318lYbh537257bffKep/0y9dcvWSy+75If8C88Pvvv9H3z3mquvBlR0Jaa1bKuUaJbJNH8ZELdoqnyfmaapqBBLmVbymidZC7PAyYSA22Av1BvARrGPZdlKcxbBeZftwkO0MZsmySKWqqtHXFPyziIjGsamLFkB0lMNvxhQ0TThobmBII3E3B5E4ncNQHnJaL2xd4lKXjRc6C5lki1l+VNNohURmAhFSPSxIc+UlQSvaCf2iZJEbcExwao6ToLQoVXXqlI26EkTX7omBVOakphoydhdVNxBRXiNMcy+iTs5CabR+MyPNYsZpSHnMxGcXBQBFl8PwYAHJBpVmB5f4giXlF1xqIJtGGGJZhRMEt5CyBSzh+V1aivZFIWlichLHZJoCUF4OBLyZwlrdqYuGFIKqzGz5HkiGYx5ewiWaq0hAQNPDJgQGnKZncFUxEAR8lC8Z7fCJcqeUWej8RJxsw2FqjSpUexhmxQl3TAWwTPAw4qomYLvV18ETipqNs2pLqp1p4kEkJKemaFyAAAQAElEQVROabWM0EqKxoO/5dWcNzksykcEMJMkREbxBNkiRZlr05qKxHGsC6MMy3EwpSbwyCJm+vqKnSZLNuS0IBBkUSADNojookUekh2SZIjOKBsGUreAYGxjEIvmSGUYgkrhwtQIV7JNlxhMJjoFokKRJRnWOUyniVYSuvaGg7WHLYlueW6tscUMWeKCDMuSaQwzUwhGOWzGWWeaFEir1JmatYekmO1MGZGHrDRX5h6kLIVRuMOzYKcxF/W3IRbNDVNX0L52dr/wsrxuRxQG94AQxh6k7u8M6nSzEuvg44fuYQ1v2LiRP7Zt3rzdpk2bN23eftMmmE2bN2+/3Xbb7bDDDu6XiiTbSrOGVzZs2LRxE46bNmxaJ+TNG1c2rYwVcCzVHOAkcQdLyiFrvtWRYEVnOUZsyrIDb5DF5SSPabARta3xuTDyebLwWGisjEWDhrQQC+JvY4vhNNmyRgtzfhKpGwaMpF+Ycr0Yxp2hhHrRNU39vNaPLr1k7333ecITH/+Exz/2cY9/7OMf97gnPO5xT3zC45/4+Cc8gfEJT3gS9MQnPOmJT3wS45NoT3wSwhOfiPWZz3rmN7/5TSKTTrLmhizbwwqXbTAm24IisjGyRAdkuZvWm6WmDBRqyzSUg8mSrDCjJzEqYtQwSYkqhFYajE2SLDjRmoGHUiG7BIcSu9IjdWZHmfNqiDiyaHKQhUY093oYMc4iIxQcE8+9sThpEJljQGUqK/jUJ2a6c5AlxTq8MG0WoqHLHvzYCpAJkgkgpzFCjRiWEm3YcDLZLUt0PksKznKaaD1bSwVL1AzohTHEpHngwrAtUkQKzSQxYi0+XIVu6YtGiiXRHYauNAvOlrtJgpUYNcKhVeqVly2mxEYhyVq2WGHtMW/GQJHeE0yWjNEjC5IsDCEJTohCkiU5A5O6IRlfFaPFD2tiUnRsBhjeM4wQFh59mNh76lylxJCsboYZdBsu5DRFoxKtkLN7NkLUZoBMG/YYymgpBAtjR9Bcibu1YGtuPSPZxiBZtJnvA7StITFa7mXZDmcJg2VilyWIKyyaYam37DAZouTZKNmtKjiun5wfS4ToEavDLwUmTGiGxY894JsG3l1VdEKl2JRm8qIJIUbde+0BRGiH0pzaiVmzyCvRvTjR4BhFnCUnXtysraUORpggLGeS3LM9MuOHRiUN9K00CosflNFJhSDTKqnbkcgooVixLH2YEsiWBM4l4QjZcljTCAdLPviQjGmIQU7LGKs0lOYeCvXM2GJLTRgskKhBqUwtYHaaoubRVsGFZ1fgozGfEbDoOWg+u4KIr8X76ebbb/nIRz+CAxIEaIftt7/XPe+1cdOmcta9slhwouiHgKcUqh3MgzutFIEbCCrk7mjZyASHP5G7hiHZZhDr9BjGkLOjzKhR2EQZwhBUT0pbLxckyyYHCmgGsq66853v/PsP/L1HPfxRf/jwRz7qYY961EMf9ciHPeIRD31ExofBPPIRD4Me8fCHPfwRD33kwx/6COgRD3nYwx/y0Ic86CG//Eu/JMpICcm4rWDSTMmAAYLjNhYISLx9uy74SkV05MqSBNK2thFKJKUN28w9SGRCMjuRvVxkGAuZ9aOWWJd2v+/9HvygB0N/8PsPDv3BQ+9xj19gM5cASixw7DQT31Qy4tgExDLUkjT4oWzPmHkkFRDTysWouaReDSJmRkseYWVb+dFgXJKHPdLdbebUPH5h0u0IYsyqFJG6JZkfpc2Mw3bvAhHnJcKgrbJwhVIhq0aaVSPR3K0TxBsJe4/4yoIy8AoLq4EsG1oOplUisxfRyuAsQ3LYXisIRWWaUKs6EGwUMhIEPKMtm54xc7rmFrZ7iy6miPI6w9xEvY52GBGIRiLDQy7bOVlFaRndQCXDmdFpgqFnZ8xsRBsmOQsBD3Hy8rLJ/GDX3IbZXTOwZTEkZzY/dyZPJDrTE16BmYrl2Xc5ltnXpJrlsgkp/lJAWrcJ2e1HZJPI0jJGlbY1Nx5xaUYWj4M6BJ4wIESw2TkqLj0KtQK3CuMeSmIuK/iEIVV0kVOLMM2ERjZ/jRDgmQRLekjbmtGFojADtThymYYshJQkWslmSmqmBGcSVhdMOgwBAohEfUg1+HtExRGrWLb+30YECUCBgrTeeJfFBYvKZmLMH1zhApeHmPFys3rMHz7mLSec9JbjTzrphLeEeePJbznxLSefdPKrjnrVHz3qDwdvqlqmJ9Ak3eMe93jGX/6fIw49/M1vevPJbz75pDee9ObjTzzx2De+6Q3Hv+no4/72aX+9eePmnFVx6vq5n7nHQ373wQ9/0MMf9qCHP/RBD4N+/dfu7cWitK3VhpUV9I988CMe+ZBHPuLBj3rUQx714N978I473jXXjlq3AX+KGbYlm7/tTP/nqX/57L/bY4+/3ePZoWc/+5nPfvaznv2cZz/nOc953i/90i8XjWrUrWrTpk1/8Ad/8IynP/1pf/mXf/nUv/jzP3vqU578lKf86Z81/fkTHvvEX73nr9bWmv/ShR9rmNZW11ZnWpvW0iZi0kNT8cfFqXqc5jGv51biniLFwHIhaugRBUcD5ZxiVtQcej8OxhyKTqxQFQu+CC47Nu5K5ihhhaU40MyIfTHmIyvAEryVIOkCQRcKLwd164BuLJWj8rIzqYspInfEHjqOhRsDGhgJdpSoGiaTLBqmnpfSUmOaZEMW0eahYLVURYldaZY1LDGhJgkc9YiWdG69quFeBsE2q8MsOxul2YzJhIpLcdewt3NbE6FRJVvRF/ZSHPDJjBxyoWvGabIhS1BbiiKNY8UNDaRu/5OJS5s4p4bjUoFV/tImjqboMi86oMjYWfsMIa+WLS4C0YZ1poQvA8sjPBSrnS2NVgQCkUolBH5RavU8uJ9Dti5RxQBEydgdruhO40NSoA0mPsz5YjaYg6B3zfIAIJqDYpaiYK+U1sXAeGY6OkOhohcrIUxFKlwg7kP83UMvUYovphJKDMW2lMlXwhkF00ymqUApJnQsFEfJ0TEga9mCqB4IIgXQ4x0bh1jocWMMEdmy2fJ0pcHICs0pwwOTWqU7GpEqiSrWWreaDaioW2EhzlTqyGhEb17g4FuGb5rljMPdhHuJVuDSzZxe6KR5JzU3WzI/WjYzF3J2oOAj816Go2Yr8KglU4nSQMKWbUFSJovWW2ShNFbBVFwN14y68axiBTG/ploHpOc7hmhwxo/Ti0BU8YdosVTNjRAoc9IWP6A9G3rsYsJZtmGIwwjBQCoQEwwp4GEAmTbEnxw/9flPnXPul4yr5JD5xnPDjTfcPm3J06xaLFZQYWozuZuIVTVV/xMWzDQpv4vIwVWPDAik1pDF53H7GZ6FFBNba+ZibvIYYzFotqUA7DD6b20+sahwxGz5V+75KwcdeNAJx5xw/BtOOOENxx93DHTC8ceecNwxJ5xw7BuPP+744489/oRjTzj+GETG4497w3HHvv74444+/vWvfv2j/+gxRW0imIYXv/KLv/yg3/39B/3ugx/0ew9mfPCDHnbvX7/3xg0bFlqsaEALLzZt3PjIR/zhHz3ij//4kY9+9KOgx/zRI/5ow8rGedlZXIKZEtkkxl6JcpolO/p0WHSWJRKbZQ/D0ocAhfZ9xb7HvOYNb3jVG15/VOjY17zh0X/4xwWoqYgOunn2LwecHEuZyd1mhrddJA2BaS/2MXPCMYc4DNHAScgshF1x2HSjpItUhEggYgGIAq5NlJR4qJrQTVx9i52BlDCKP0PzBUJwpouWlJojWOgoxaNnJN6c6oZJs7L9e+DBb7Vs4SKUc5ww7r/yqTCyxsSxgVEJVsdaQpAMdWdrl2upLHbu+LrzlNKWvrk8zkdH61BCsD0SSzwWM97z1El6oaA0wyKCNRJTlOEaX+WohLBk2FI8W4mDEy9WdJqxiTZr2fmlf5VwLwfFyVfmmkV4TLMiu9DmjhFdv4j6EFsSMm5uoXCNR3drDElt6UFpIEBByh4mahV/+pkMkL2M0h6mg5Rk4pOtZGtuzZQUOf6iIQIKRU1Aptg1lQ0Drgm+lvsfueLH9q0pEnGYoWhZAhMEE9V8qg1rJblcZGlzx+F+RCZbAtGxYy04CE/C4IWcCxe0KA9lTMpc5nKARYBVopU6cTTqhh97JZnNorNV2TLsyVukxEoKwolmmTHlGSZ6RKjy+HM67jwoPKawoJqKBwQHxR2FxvjVe/3akx7/5Cc/4cl/9qd//tQ/e+pjH/vYu9397p/53GfedNKbPvOZT035DwOQhuqKNVLOVVdf/eGP/NvxbzzhjW864Zwvnb1x88of/MGDnvrkP/+Lp/zZnz/5z3/nt/73ysivhjVpWl37vd/+3eNec/wpx59yynEnn3LsyW894ZRnPuOZ223aTgQKUbh3uuvOJ59w8ptff9Kbjz7xxNe96cTXvOnofzx6l3vvAuZ/0ryWmsu3125ffckLX3zkgYcfefDhRxx8BN8AjzzsyMMOPeJPn/TkK6+68sqrriKJAXftJd2+devFF1/MF6aHPvwRBx9y6LHHHXfMG45/w2vf8PrXvOF1r3rdUUcc9dDfe8i0daq1yn+0KF6sfd5LUwwK2c6UQtBI0Wu9kQJ2HmEmsQ1EmAkFVARAv1YTNmR4i/OtBHIuBTWH0KrQkk5kceza1mpbEnAIqcocdQk8BJBYkKjWXDYuhQhDZB57zQ2/mrltYxEkAvp1a1XFpdo7NlGVKhw1Za4ursiU8FGGjQUe1SxxLfBB29GYUyrBwwXEBW94QFWwGDDzAQTDbvWqMiRcHAJMx6w8cVMbGKysIr7sYIXvcluBg9GG7lB21Davx4itXyiEC1GzcVVvwnxy6qS4zgYRMsieGGSatM1eiBWxlLatKl4aOSbck7OwUkiHTDR4KTtD0VBRR1EXEUBWB4kb6kyopVkph6nifgUGoFDR8VMasJklLOWSjBGYCDQVVQFCCZkgCG6gNYmXwgSqjDZBbSMiFKsV6ApPoILhDxdThWlIdeQWuZGeGhwx3QTDs4FhKxkImejpIk4iBoMMSw6UyNx/Sgo+QixLHoTX43ADiYaD+S22GqTylKisN4rKphEhVLgqZTDMNqFBK9MkI9GVhpZDIlBG3rFilwhNqkrGhpikEki2FCQMamqDB+cuA1MgrYqyehWME3D2iqkIXSwXZaFsOIHCFy5amrMQFoWlXyrE6Upyd/AC3WP1ceBGQKAQKMKIOtlhdQTAGELZ4szra4InTMBwwtUiUJWNjhUxYmCNjGXBAK+GsETyEJAnl6UrZYtCJmQCTBgrYDwh2xgxEwMG5/CKki7AE4oKL/Jih4hkOlxhwUaQFiQWYLYCCT7upDIR0McmlsLOGDd1g7EBAIncyYQPcmIUBTAnxVhZXH/LDYceftjtt91OpUErdd78k5tfd+zR+x26782337TYuFjZwOdk/82RKHizNVo2AhEvkdfEk8YKVLa5Vf17Fyhb/CyGYCiXCFqfkrK9l6uw7QAAEABJREFURYuZSeBGu68rbEsyPxBhlBB0CoFYnaTrrr323/793971ntPf9S/vftcZ73r3v7773Wf883v+9T1nvPeMfz3zjPe+773Qv77vvWe+/0zofR983wc+9IEPfPiDH/7Ih8/6xMeuu+56glNH1drKWDzliX92+lvf9c63vvP0t57+rredftrbT/vrv/nbzTvsYFsU0Gu/x8/e4+0nv/2kN5785uPfcuKxJ73pmBOPfc3x223e3rz/BQ6kaMRkiRTJiBhCKKxWfhDEwcIDMGabEYJlgYz/65fv9au/9Kv3+oV73evn73XPe9zzV3/p13biD7ugO/QYAwwSYzw5DPHctg2VOrDlbpIs8UvtMPuv6OadtJYRcIcvrLVUgYLjKhEylHNGByqJKR9g9KUJ59xD4KFZGTgIwhesw1ZWX+ECkxxH6igiUNIcnPjCKR1kU1wqt1yKNb29mmksgRvZAKrpt4EwkcL8AsMqkJDxU+fdxmAlahEhNeKLC0Bb/EIKI1pi994CmxBwppzZwChXlHCZYYugBCxCjWmbtdgHAlLLEOGBY2KsOTEjC8JA8ZYx0M0rSLIhM7c77wN40QeqTklOSYjZyVlAnmqQoSIPBS9ltB2xR6UFQFXUAaFwp4GB1v/1A1VWlGDAXRQhCq1yi6yN1bFuHknzF/zCkJ3qUBgrPVChkTHhFj55Aa+xpWSLMnHoSBA7iwMjlhKVI1H8bCmtTepV4+2yU2QpGoMgrMInGPmpFiWpDUypoXAp4Yg0W5VGSbhQcASwxIGMAiJTq8Tq0RaqmpZ3g4+9uKCeUbPA0kDFicDV+9V5OapRHhVLMbKUOFjNTJiLSzYomGrU2qnWptgJElAFIMcLtniaVM56ioI6sogr22pHYQ1YNd1hpYCBbNoYtoAP37Z629XXX/3FL599wpuPf+rT/+LXd733Y5/0uBNOfNMFF3zjmuuuX6u11SoqmIiUoN6yZcuVV1/9/Ut++Pmzv/iG44/5y7962n3ut8v9f/+39trnpf951n9ee8O1gO1FspYWXrnLne6845133OnOd73rne7K16oNGzZovVExe7p543Y73+Xud9lhx7vusPPddrz73XbceacddtrojfbwWNg5jXUP9gYnWZPN6qXS5s3bbdq4eePGzYuNG66+9tqT3/7WP3nCnzzpyU8888z33X777aXBoawFKJbAv0xdfMnF73rPPz/v+f/3fve/3x8/+g9f/4bXffPbF8retB1thw2LjbVWLrONBDeJC5EJidS+2047v3ivvfiD34EHHsh40IFpBx140MEHHXzIwYccdsihhx162BGHHX74YYcdftjhRx5+xBGHH3H4IUccdshhhx58yHOf89yNGzdxYhx0VVEYIzsgdR6JzJyRusFQRdgUACrY9F6LSxNOVZQFxjBMIbQD2OT8lzJHsU/ZqFGIDhiPGTyPEsWIhsj6IHiopiKSRCL9VBvtbm5ExU4iawAM48HjClNsuqgysYoAlQ0MBqWQNTeQEh4z0kRmQxRtSRGpluzkmmxJ1MkJYsfMKAnr7DyLEhqMAikp1oo4sW7KJpzSsEbCHCN/GMAAjiJzIly3JGvdqLa20ZxR8ZASAbYjatjLYJQ907ZKtHxpEGj+79lTT/Lhz+OesUsnNqtm7bjPFfFRRF7iIkq9D5pb9gqkvQCcuDkBTGNGSsuqRCPu0koaCxO9anKCoEJSGnuDl9nYBMELZZdZMy9b+KQMs3yxClkJYoVXYk01TZIBJAj4juCyG0nNEgvKDqu3hfqNY2D53FLDHA2JCN6GEho2xyKy0oyzQLF2ysshIsxcweHLiJHwUE5zFmJMcpYEyRxjIYMJnojSmCg2nBkmq2uWwBbeQqM0NpBqTFUViGMT+28ZmQJyYfB1wZs1S4O9FTiSDqsbVji2S2KxURX+IA3PcaC0Cx6GCuFiQPYEg6U8wcGnPoKbXQQYKpGvpiriZLrjsmmOk9NMKCRIg/2LKLi4UJWVvSi8ZaHG0SQCFYH02bj4OioFzJLhGati6Lp7QIIUpKey2SuqRJWNYpIwJcK8NIKPQtO+sbEPVTa+VCFc1fs4tStFdb4e8JLWJvWWWjgVdtlSE0fHikoLJYomFppdCnJC5UmeKM/ojadhAlIBL5Ky6LBIkoeAFTiK04Su+FLEh8u0qOtvu/Fpf/20H/7g+2BACiM4sYK69rprT37HKQ98+O9/7rwv3PNX7/nYxzz2QQ/8/d994AN/53ceeK97/qqIV6TQsCFEUkJ8HlE4LxF+PxtarHhgZRDToksZLEIyikUvlUHFjyhSaZbtlcGLI769XZSVXEzUXyJCqe8KU1Ndetllx73x+EOOPPSQIw855MjDDjni0EOPOOTgww8+8LADDzjkgPl/3h1m/4P32//g/fc9aL+9D9p3n4P2ecWB+4D/2te+QnKKZ09Jt93GzXfb6e533+nuO++08912YrrbysqG1bW1rVrdOrRKYk3bbb/d3Xe++053vetdd7zrzjvmV4Wddtx52GNBZzEUlaVs62xVdcG5lCIV2wdMsqSRoyyxanqhELPVLY48wKs1rU6apom/eq7NkJipFqGJAQ2PljnK2ZmAdkItv5JxSSAUJUotXjli3ZXdLN4AvbUli1Z0qoSfmHJRo4DFwOWASI24fmbECWEFh5UxfPUaFZOTR7S24jexHESILA6aeGwLgVvAUPhI03oUAcCxMDc+TyU6gB1TE4FqMKCRBqPpFYYZjIlXpEBqZd0Rmbhi6XnupNm3kBuGouimiw1tK3mdg6MkgmaZ1D2IV2xxsaUSF5ioZeOYDlQas1xUUUHHU2nJ0JGJg4UzbzxVM+f5bz1LbGDxjKPQGkOTRM4OirPSzDDzxaqMW9GoO0q4JTUq1plJFBK2AgRKaHCA+MP14sCQTeWshhGliBv1hKhZHqZFVEVjBle/UcGyDnNRcSOTmUKZ2bGkx9X4FtBYBGPZEkm6rEkxldAN1BGFDd+IMfbuooOnKnDhyYusxkQlUWwSdd6lNRuEgS0WJq0328pPBnak1YWuGdmGodsMMj/IUNEFvhyGblJmokuphOMplCnfCoPCzQk/9mFCW2bBQwLFJhYximeWvRhJwFyWaaDYBARhntjwuKDEz3Qk8E4fmlT4iGYaYeFCBl/TQx72kF3vv/sfPfaP99l/nw//2wevue4a3j7FO0g1xRVUJiUEAUlpVJDW2+ra6re/+92T3n7yU//2//zWHzzgHe96x9a1rTVZDqJyXYlgivQYt225vWqKoXuJL0ubYPn9JXCXebeujNpgryx4z47yirN9YHLWhQcE1iAvvvyS93zgjFcd/9rnvOh5f/CIB9/vd35znwP3Oe8r523ZukWaJpZRaaDjw9S1o3JpdXX1vK985R9ffdQjHv2o33rQA/7uec888W0nnv3Vc2667SfTkDsp2QCTV5L5UW3ctHGHO9+ZD4bN22+3adOmjRs3btgA8RVyw8qGppW0DWkbN2Dmu+CdNt/pzne6y447blndetnll1HXNE3ZkckSzxy1TJQniY9OdM3zIYUJnZSaJVlKzySxmYDdULScilpJqaUJ0cXnjbAXYdqnz6E1vZ1gChdoadVS06LM1SNklEyYGCHK4xBL2SB4YCIdhsD5qCn85oRhhDtYNwwenMT1tGg9TDAVrojGWYfFqyJmBiySCSvkhDYuIUymE0+CAS3BFJU0pHpUt7Y314OJIwaL4tdttntLx/q2MPdOgnJNlD9/ErmMJnsYKxuRkIPZc8NNYphalA0ZDKpSFWx8VRjQamk1ZnsozakqgByZYVBWUYI0Yao1fIHHmqeZMghbCQ4QADsgIU7kiiamzOJNDnhmqxwmYS3bERghOMbFXEsRp4rcMGQnrYCOusMqFOBZmuZWiUzZaNznG3UBKTw1UZUdDr+i1CImvWhoJlzQKoeOwTZLgSlslUAsDJUUg2nSIIiryDgTeUdQnKZa46CrRmYRzmV22uYW2IwigGpymsrsEggJ30hqNTCn406ksj05EIZJJpKwpHimotCJGZXYMzrlwaAGqsrBidCWpmKYlewpBhVHLFWwSythKsmYTaJ4EN1GDjmloMDHsnuZAscfVzg7rOpGhOJqm9vTsckR/U/zwj2kObvZgMoyLcAZRG5I5keYIVKggWZMsVJnqUXx2XAV0ZwsYKqo0yClvgaoSRWFYw1SRMDaotqXpVSLSPB4F0fOFLJHUYXwmki9zKgCSFff0o5NEiguGnHwBM9uzdvCODQtRH2Es7ME7BIcbuCUVvCie+lcUhVl4ca749Ytt5x93hf3ePazvnj2FwpoYY6XKC41hMf5sisuferTn/qhD3/oyEMO/48PfORjHzrrrA+f9fKX7SOeONKBKhziD0smMhSfZKos0NNUvb3TRCFeeGzw4KIbM8C1pDQWyNJk2rAG28Gt7huhNKCZ0oFJyHiSMxp8exKMLfwZlw8MkYailzSUfWGEl6xlK9jFYoVFoJgojNVkshfKGxRg6dZbb11dXZtimqpYVG3X/5u9VdQi7nBQRWsRLbG6zJ7XBwoGPyFOppaCkcxK4aps2dZ6qygRUI0NY7FxsdhuMTb1f8GcPzgkTxKosldmBIrQ+sISESFRxKIk22xNhedoArUXE6LTxUlZ/CCAoUYqtQ1AtsawLcI6bWZ6ZFgSXjMhA6IG4eEebJRsHgSzTtZSH8USHxa1ew7T+lnkgVE4s9zUL3EgAaLkCMjeQnXxsBPF9yoKq9MkYoBmXmcABOZo4QmCOEcm9cRZx2IcQxJ7qjkv5ppy5F2UuqJJRXV0V1wSao5MOmkEmerwAkYwiDAKJl1zZLSKmpmSzAS1naiwUCLjRpo295Cznt3m9ZJliXfuGNgWTaNOUbFNDBiW5kwtVW69OCrTWivcuRc4tJgoy/JL5idaq5lOYliYGd8rABel0uyMIwPqBlEp4mwoJuMUXdsDT6ckQHcQukBtd7pyTD3MjG2FIsmdB9Y2guFaM3u1JPStU0MqMpzWGz6UxVbNoKU6ZUrY6BklGHwBZVyqkMQmSmLjjERnLCOKZplRy3FoqVYSitNEEVJanDj+4joVSg5mRG0Y5uWDaup0WkIU+ia7JwbTEtj4hhXe/dnEuQvBWix89bVX/eTWm/m+tFa8+0LFBe2I3DWi2uNuO93t3r9+71+4x8/zZUJppIDgbFkh0aqmrWurO+2800puVxEDJTsQkJVx4Z/ccsvaRNS29LDdDjsMXj0L8wbURk8bpmllqsU05dsQf/MqmtiHDkA0Fg0VHyRjnPn+M/f4v3v8w1H/cMaZ/3LhRRfyHQ+AO2wzM2vyhbozCH9lD2Yzz/ell1/6/g+9b5+D9t7z5S+68KJvEBxllXj21Q5EQ5J02eWXH3HkEfvtn3bAQQceePBBBx0CHcw/bB14UP6N68ADD9r/gAMw0w/cb/+D9t3/wH3332/ffffZZ+9XvOLl559/fv4CujrlCxsyszMAABAASURBVG1Vv8YIPBdC+CWhCuf1KwITWdmD9OApT8wQkzNJcPLcmqds0ZZLsFm4kUPZFLWQQAGiQWZM9lkpHKQZFhZ7kErLb26Z2xpDlcN3lhjMQDR+GaqaK0BCl0BMMTMlXljHV5N6stKIJDv8ZGfK/dWcBXtU6bDL+KJyXsKBShZGSzI/Cm9JdFgl67KqSkCvF4V7bAACjbZmBm0VQywwsBGqjXCFPl1RWGkd6r8xErkhdSOvZiQivhTfI6tAv7SgVOECgYoeDDabIZpazpj0P3QAsudAvO0qKdLSkPXBQpZDbpYUSo85/oq6LQziyelgKPNikfDU3NopXmrO4sd2jIYP0dkYR9XddlTqKc9DOCxZF7o+pPDqsB42SWV14yAyFyqCJumsYcQ3JpDcmuZQMs9j/OeoqLJEA0SBda6cRYYhCoEjBAQ2SqZOFZ8lL9znDmM4V1zD2C3b1GGHTwwbTjR3U++oeM318mQsTZYhGcE0JshmMygVNSwjOsGFVBjNjRwa0NKivPeVxFiik4bjMqv4yg5DRM82xubYWIOKDZXIqrlFA5xc8qzROmMZktUNnjm7gcJpWGAFKwbRSih6sGwKc3aDwaIZnddny1nAEpyHQ7JllOQYpTBCRtOSZqsoFtYAQi4PQag42yXeWERjKgpgmo9exEIt5jmh2BblqgIpjcX40RU/+vBHP/xPRx/1ghe/4KxPnLW6mvf7lJcZW1477LC9kh5/qYebbr7pDce94SV7v/TfPvKRW2+5bfX2rbV1/rM7EbWtcfdDa9PaGp+Za2vFhwYfixOfTVu3bv3n97z7xJPffOIpJ77plDedcOIJH/jg+2taLeydi31gLkq3O2dYIluyGURbT1brisyzbR4rSyBMVlFZA4uGZpFRXOlZz0jAmSwvVha2lC5awc/fZ+LgSfmuxaIwNbnkHXfcsfjFAM6Fn2kckfBMD5uEDe+1zRnbpSizUhdIEphtEnsEVRet/BEw+4uj9NmzP/fRT330rM9+7GOf//jHP//xsz571vd+8APLbuvUYIJl2dFEXWHm1K7sMKWgQ5vbA2J51SqfieRE4/VnpURJdEaXos20HgAt7GyWmOcOww0MOFZlNUqLktnFFoUni0ARhaBZQeCwEhG0bF7OAqmfapVy4vBTOrdfDBX0HCp2wMRnbVEvFSW8MagogBmAPUfAsQSvWVSzpkk5SidCdzx7luWQzagSktNkdUODlrBKASREPzhhKQiESgGiIuc2wMzELmEMPzIEPM+Nt9cVtqPPApldLQ5GCAXoVADXMLxMObwHEGMwVdGxU4EwY7XCE4nMRmV7+UIWmyC5CbvSKL8EBB/PloSIQ0uWlyh7nYvCxeg2Wl0EfIVNgcveIA1rdl2mAN4aa27xUgSYgmHresQaDbFaUx2EjbKNnWABNAejKIODJ615QDyzLGd5MtU+qBNEBRMFGwBwSUDQMVqGiXbGIc3RPS+WkDzjCK3lwQA9I/FBZ2QTBwmOAyOe49SK5eDJqLE71bi1jFAnMQ07ItdACHAzhprXgxf7a7ZYMXrIju/wCCOEMVYWKyvSxKpLfAtYryqhjMO9fvlee71gz5NOOOktJ5x0yptPOe7oY5/zzOf85m6/uXnjZmmAKs3vJbKGfvHnfxFCn7dPr9m2SAUNGN1w4w18dLQGlWg73mXHsVh4xateO+7Nxz13r+c9Z6/nPmfP5+zxwj3eeNIJt95+G2/JWt8dFksaUSbBEw+25kBIozn3yABkjMWv/9r/98LnvfCle770cY9+/C/9wi+NlDHHwG4LoNI4mCr+wWq7zdvl3VboairerBPsxEE0of2fRF7LCxPb7O5CY2GWtAgjY7LYeEpV6lfxYTBNU/OiUce2ESZgpsKlMBU8qfsawBZ1glDi0mdrKwAVGtGqMpDQwk/tMt9D9Ob+xy5MRiZPT7BtKWMhGO4dh48fN75EyYThxFFYgSGyN6KZBh5I9CiKQCI4ccikbtsYLU+0A83RGSuuDJ2JSESv+I2OwYCdsDwyBGqLWBudYqQeSJqCUJsUJZj4iWYZNgALNqS5NcxoayKV77AA9gzJGLaK20GYHB/FI7E/bAwjYLUr4SQw2CEYJMk00YoumZ1xJnxjGFYmNJZEp1bGvGxBSDKSKiMxE6NASEPrrUWEmM2MialsRuFQJgagkrGmU6MRirlzFCfL+iJqyi7iAoFeEsiZa9S8gka31iKYJM97jihalcPRIWRlIhBacDDRJQiljeVqZi2n77lFJgwIFkJA4LNKaOWOmEEWQlOvRSUTHr9McKrsc9xxrMxAuPUzAgUlQTCAiTMjOiO3STWHKZhi9VXYoyr+zYH3NT5serUfEcMUwbuG2OjrHuw3iEYSLYiKqYiGcjkuKynbjZDTZIlVEIzsTc1SHxEUa4ZER4bcqlkmF9Gww/RopVUZ93CsAh4OR/EFrQokIEdGreVslelFx6poS2jYFZY2V4Xrupm5shrCoVUZHPiCSVB6fHEr0gGyjW7bYYnQFasJ4ph0R4uLq7VxzusaaCeIT8oB0vg+DJSACUJRMj8oSJkRYVbk8guN2205xMvEJXr11KFXNm14z5n/ss/B+5148onf+/73+HSrifvA81OUc/e7/8wxrz/2T5/0pws+DTqORRbddvtt/3HWf+xzyD5vPvnNC6+w+6UM1YENpCi2pmkqvmdNVZCWzaXVrVuPOeb1+/FnvPw9b//9DtrvbW87Rb30ahQRcMkSSmY1RccvFUcZDNUVLaxsJpflzBlnBqnUDvP0UyMR+Q5DzTGDhkAzDnsxeI3iZxldD1V86sVB5svjTTfdzHet2UhMQDvfdacEkhGL0ix7yFiiRiGZJmltmj71uU/9+1n/9uH//NBXv/4VvnYGj6N5YQBkFWIrpqmmtUnFQeC0jerVr3v1S1+x10v3eclL937JS/Z5yV6vePHHPvUxzORdjkVTsor0RDPT0iRMSdHWYCg3Zs/QxIBlYrvBGpyFDQYYnooTdqEUBfeMXJiVBs80I2HwZiyLH3LBh2IulKQgXlzo1VpksIykBEG9caDHGwjcTNgh/FIjMKOeFeGipCQUSjgioZnTJXbwVWYB+bO6A4FHWxSRTEB7YhatcpmZAyxy0gltQsmMzK1kAEQYjOggmNlONBgAtbzlWApN8CmNGQhcadaiUM3Bwy471jZXXqEVZQ8pPtnMnUOZuy0FmK5tUcLYlsHGji/EJZPQkZ/Vi4Yy5cGh7rXC4rTcDSm7Jq5ser6gqxsBmFm+8lhhhq0yOqgIytuZO46ADgYzTIKSNxw6CEehCLGusLMNfVFPKMGEZfZ1VHI2Nk787p5KqgaZGHGCppjAAzN6XAhScKxUyQpLSB63ZVkJzy57RgoM3gRBDjUqf4GZt6+i64QEaVcWDhqYtrWkIZ1RFFtUBJQ4jxJ/iHIyoJnXrLTKgJMpGnb+k2I20SzQE55oxWlrXgv4qTqvMZTNVKwo9czJAE4oLQOgm4vNFMAahrLiI3nKP7tRfMlIlcljkQWyvlKa5SHvsHmHhz7ooce+6pgTj3nThpWVz33+s2ececaH//3DXzv//Pvvfv93v/3d//X+s/7pwH986O8/7E7b3wWXeHbny8zP3u1nzasWak2yGI4qNE1r11977TTlF1qy2GL8mbv/DF9TZK9Oa5/5/Kff+4H3Qmd+4Mwz3//eL513zuraVjBKS4EUHxZPSDiZ7zaiJUXvfnYRJK/7ld99wO8e99pjP/gvHzx074MP2Gu/Nx994lkfPOuMU8/Y46+ffc+f/xXL+EkGLS2Fe/zMz91957tHWCihF2Pjhg2bNmzetGEjtHHj5k3rbfPmzdstaftNzW3ajHXzho0rGzZvWNm4sti48MaVWhm1oMZBQbZZTp8ZJ1o1DxN7DxXXoaqfu8peDf23xv0fSsHcHM57aZuoHUJRTNVrJwg8gFFcy9bXJHLhbSWLy8ae+wGSeswElgmmsxRjahkFMCYmfp/EEcqvYGApWkRW3+DgZBM3XHrMeKUAwBhEb0MPmCQWYwbRygyhbQyKcpZElqHA3APRptSezrJEoiRhDoHJhKbKcNXZMjajPAJEwDKTcYcAQGE6ozXIhcbYpZQ+YuT1U2XYaKTlqLLZBbH1hI5H53JCoFQ39lmowTAqd5W5ogWS089U5A16Yog5HlbHgbU4Pk4DBeABaN0fTeW8RCsLbJj1CR581GRnRUSe5RjoeITgpIR3TTZwdYPJVZ2w9N6k9JRJ6QSCgiJwODoliSiBIlECNasrwkHi8jBgmYk6YEDhIvcakKkmqvYCQQUQzMQrrBJZkmni97pY2AmjV3jRMhd3HgWFoWieBSz3WTjOV8dkwz4RtEhAVjQAYeKDd9YDqIl9AUxUzOFxAa5UknsV24RupkhYyjDRVNZX4I2DlG2pXOTOVpNFw8oIsRUo4lsFshm2owjUUxfmAsbZWNxIeCouTVOUJWAsiCC8b2GiEGGoCJ1lFGwBO9fIzDY+yVCylgJMAZBgsOqOlixucQZI1DlDMPHiiJpo6lYpgfQQGJJjnY0wbStSFOe5hEdHh7IzQMllTTWJBRIihFCZ2XPhLWq2FnMqtTLbFATOopkEkNgrCiHoHA0/WTFQuTpkDzKTZGMsbojpMaOhUPMgUB66y6/48RVXXL62toqobi4D2vGuO/3DYf/wl3/61ONec+wB+xx45zvzWakYRKSkuvKKKx/wgAfw3aOLxZMtnIqIsJUVzPVzglXZBnyxmC6tra5u2XI7tLZly9rWLWtra6ipl9AwYLIelsjyS1ySSrlJjLUJIKhmhQ1XSOandXfb+W6PffTj/vzJf/5nT3zyUx77pD/9kyc+6TGPf+KjH/vERz/u8Y/5kyc9+nFPeszjnvTYxz/psU9c0p884cl/8oQ/feyT/uRRj/mFe/x8VXEpeUexTuJSCBrKUNWWLVtuvPGGWhaMMfl+5md+Nn/rDc7TpLU1Fj1NiGx40YNpUatrq//wyn/Ya58999xvr3f882k/ueUWKe8+EoniWdZiMC+GxxgsBxrSwhC/aIyrr7zyR5deesmPLoZ+9KOLL77kBz+5+WalmYHXk2USkTk0zeUZ08wxRs8yqiySJS3KHI/IY5AyP7IXkjW3Wr4fJsSSi4mqE6FkxKREoXX8bI8mXLYufE29ExPBcGVbLPLyrCmO8aWaKRcnaDr14au0Iqst/NRgngEAVMwoiQJgYi3iBoYj+4ByikRwIiCxchV4UCAiIaLATcSHBFZp0WZOT+QGhilRZwJ0vJhxK2YirjuLMJWq+gjYIrx5tbFegO3LLFoCEqfYHIk44LhnQVS1Tt3YeUIPrEyiAClDcDBY1UGWQeHFPiYQQdpaRdGst7oRR/R2J2k1I0LHSijqZLQ8ub0BV81K9CMPK3O8WltxpRNnwRTCHCpUIfjc8kzxYpbt/EMEVik7JVpJ7BXXWJ0RYdARloS9lgrCLJXeNofMx1XeAAAQAElEQVRLxlbMDClaUmzNVcYekiNLmdiaoHnmg0oFFXzrqhylxANhuCpuFFZYmKLliEFlEiF7X9lptstUP++fi9cCgQsEtqo1LnOsOGZBPAUBogRQQdGRODXzlJCsJlKpPK0VrKmgiNcbR6bw7UYB6zsTB/N4VhphoaXIl7suojy/YtrCC4yZt4DFywY2RxnXLsy+y53ufKcd7nyXO91l5x13vs+v3edpT/7LE1//pi9/5pwPvef9f/XUp0+rW1/7hte97pjXHnPCsce88djj33zCF885e+e77nzf39jlec983gff9f6vfu6rp5902rOe8Xe//r/+vx3vdJdfvec9f+Zn7j5sEnlIMGElOI9bb7vt+huun9gztVHiZfiLv/DzrMZ0sQMUqgV6cWrDGgscleYMvQ0wHl7Yi8E/yy08VsZiw2Jlw6aNO2y//V3vvONv7/6AA192wDmfOOcTH/r4M57yV/e4y88tti58uzZr8922v9vDH/jw1x3+uq9+9quf+ODHX/r8l9x/1/vd9c532bxp86DJO++084473tVjeMW3rt7+C7/48+889fQLLvjmBed/88KvX/itC775rW9eeNG3vnPRt7590be/c9FF38347YvQfPtbF337W9/+9rcv+s53vgdz0UXfgf827aKLLvzWt77xjW9d+I0Lv/3ti/74Tx69tti6soHqzVUosW5ZJcFkiVOGmGCqsKSrG6DWyPxkJwoMrtxXxugK1utYc8iSi8CFkqvI/orm4q6VMIdANCuYfF+YEmhoQm4KpoKWLSt5M2SmIHHG0xpnFwt6EIuZLc3POxoUULIwuYSKyrugKCKLRkpqgAnFmhk0EzBGVokIhe9eXlpa6oEtwHcGJVeU1M9uaKq1SBo4uZw1SvObxLINzwRkiAevUKRmyWLWNHnIExKvBAvebIsLrWS2nrDz/zkb2yFa0ZiwZbyjLxI4InUSOpw0WdSMZXYqTSJTfGcmFbAMLVtYXJAYCzeJkvu1kT8VoXd8mSECM0YGbBJQrMR7RKwiFroBYcGKMBMiRGJGHkOqhe+i3N6FSHGKSjS0sMUlwiEFoiMqYwi0CwhnEBYVknm+wwHDpARkrmwgKil//kswpXj9P41jABRKxxlKPUiZxsS2pIzeWWzh/1sIVkRJphzUVRYOhhVrWOKdhqpkDWkojchMKRLVRPgq5FDQ0YNG5DhSPNaKYs6DvpkkctRkQidcRYrZARfUxZHGRCcUo4pTg4xY7E0VSkvcysqZFhso1oEG1zApzs591oQTA5/XPCJryhbhChyRBSd/VdkhApFfIlfeFU4eMeAw8/MIYEkYmrPc808NpQbnbVBRJwOb1sqWW8tOkiAltshCCASGBXBMygoB84hRp+OOlCpnNK419d0tHuJAEs+CW1giCJ2YxCnWFDkuhW0gT7lKhb2jZRNA1IiPld2TbYkRCkdh8Q2rmuTFIm8WIBjUbfgXfv4Xjzr8n572lL9YaPCxsvfLXnHMG469173ulU8uA9WmlY0H7L3/7z7ggbXKgoiHMwXw/Ba1TKLCpIsNdUflVPEcpqbIeSozp3N2mfDCuzk2M2y6qki5kNijcOo2UXrwLRQ5RnPL4Z73utfhRx5+8ilvfevb3v62d5x66mmnnfbOd552+rtOO/30009716mnv/PUd77ztFPfedo7TqO1+bRT33H6qW877fhjjt91190mCqqapqnYXC7RWk2TePhR3HTTjTfedAOZTT2dzdLP/dw9pmmN06vVtTFVfolcK85mrhFU6mMREuCbb7rp+rTrbr31Fg+ryYY1H+Mwiw38RrCyWCwGZC3E08KLKfkqK+VXJeaamh8SxJFL4m6RSN0sNwIFJAtqB4NHEo01MXJy3FKo2GkWBjxAVsxtRwZCBtyNG4RMesacsabJeaWkgJoINZsSOUGIxVcrsBPBRYzEC1uUR2cNS1gRvTxsx7dhGBWGqKY3zwARgXrnqhBxmuuChypO6rxFGkortJBlC43EHkiGyFjMreSCzinFhmPLLeYeKm2oYR0olxwfyxQRowjVWQqXobVJxCnZVloxlCZCjLIncqEfRM5eFT61hLIV4PDCLmAlWg89uxqgWNBOSgO6jUH2ZMxswCQYeW4x4MGkkZ2sYMKodyn6uWf/uQWON29ZXiMLRBYccHkbqMjQwTEVwSqy8noOhu4ajOojMo4GgXd0YqhlXVbXo7QpQ3BAbQyJ2XzhYaFTWq0zckTqY6rmzfY2gyZW5Ewqo01vhnrRiNBSFyhMIfYOx+IomSRLQg2woputbhfRkK3hfiUO85iKBjAucv9EQslCvBjCYDTcLmfbTQFDaQ6LVUAstdIgoVwl0UrGD4vp6EusgkKH+dEcQLhycrwp4UwPhLAhXFBwgUpYcDRNHLFUhMDm+TYXLDCsa1hky7fdfssPLv7+Pi/b5/WvOvqkE05677vO+OdTT9/3Ffv+zgN+55Zbbvnu977zwx/98NIrLu8Uxl14edx2+62X/vjSS6645OIfX/L9S37AS3O33XZ76V4vPeP0f3nbm0553GMee+3119xw8w1jBZdiAcNpi5UxFrrm+muuv+nGSgEpsVhI+Zvf/satt9/qBdFDKTJ+S3ett2qmWg0mt8rmo+tRj3jEY/74MU996l+8/CUvP+n4N3/qo5/82L9/dJ+XvuJ//co9b7311q2rW7ZOW1e9ujqmtcVardSaV7es3bY6re66y277vWL/j3zgPz76wf88+qjX/u0z/vpRD3sk/2q33fabFhvMn0f/5MmP2fX+u973N3f7zfvv/pu/db/73v++u//mfe97391367brrvfZZZff2GXXXWB23e0+u+62S9N9dtn1N+67+33ve9/ddt/9vrvfb/f7/ebuv/2A3/qdBz7gd373fz/wgf/7fvff/fF/+ji+xXE4LIXHTGLOwAKzU9JSEbmKHWx54mxFm9gzpvnpCJ6OPN8WIeBhy5x/Dd5LzBPPL17ugMLYN7HCjUFYbl6U4lx4up2X3KSFSUHXwMYVIqAmXnVFsopr1EpYc+lL5BFn6nIqBB1ftKEqBwDLVNgKF7EiNEoa1IRLHbOVSrCiTU3gmRoqIUCyLWvZ4Jtzq4jSNUeVaCJXEHQ7Rj7NiEyKpTVAZSGlhdKcQWiET0ov8CgHr3R3UxaHey8Li1n0ICKTaBXTDEQyaM0a4kCTGKKkwxmMKDIJq7ZtC7GRYi8Vu2EBj5UzEs3BW3FEYhsH8OEwyCkwePxJHQ6lAkYjG2mYhlQtFrDIlrHZTJ6bZM5/WOK22KSlO00MosV3WZUwR42FgOpG8cxDprYw2GDhsrC1coT+DJTgkRBgg54qIl0wpa6fD1gpyOVHDGojN4kbKglZkj3P+MKwBqXZrkFsAkYU7tuQ8LxaqviNTxogVYEZFlyBG3S3LlaUshQls3vTCT2sFgvGdvgcnLuhZBaNyTEqI10iQBTh500j00xLUUTnaZ5ke5okHESDm7wow4oLa5OOrSughVBrbBx6mU3oe6qFDdqDI+2COIrIUbKF84sDhYYXtiuBxZgykBFt2XTYpAADcSJRORqRE6NEMaLlDsNnASaSymp/w2BOZGxQ9K20QJSYNCUYlcdLkvk9TJLNzgsX9lnGllAsaWKeCD6kXCWnqdTTgplTlWIa/b8WYVYZY+DMIeFO3j59bgQOSCSqYognBdowSquVFMCXiEBx32mnnf/oYX/05mNO/Ku/eMbQysRJTSxgPP0pf3nq20599B8+Zoftd9hu06a/eMqfPf3Pn6ZV9r4IlsjS1Hev1K3M5AhzYrEKJFbPicPwUV4SfHBA/x/qoNFhZntwENUhyPw0D8RpSisiZaaT+Xvf/e5LX/bSpz/j/zzjr572jL952tP/+mlP/6unP/2vn/6Mv/6rv/rbv/rrv/2bv/m7v/mbZ4b+7ll/+3d7PPPvnvPMZz7375753Gf+3fOe+Q9H/eOll13KwqfV4gtUsca10tZpWgtdd+11V199Nd9OJzY2xLK03fbbF3xNVDGtTnwKReqa1dWK1WcblgKnBUVgMTZGI3AQw2PhRUZ6M1htrDZDcs1RGS18omHliBL7zxBNi6mlmW1Kd2EpDdWauEDMjad6wo0uCoZcEs8SOxmEa3Jm4dpMD+LDSOKp5KNVaQRhGuaGm9LsjPgMC1FpBKQIrj46zFGFixkTGXlOFmqVhlAHxCIKay5oFfcWnqhYqKpEqymLIKrxwDqYRHlMoAqN5FxFF/gyrSyhA6XmkCkfAwUAnWzVAKHUgtOEVQrWBAYRtsppYlsUFgdp0ryNUinNeIL6//H1HmCWVdXa7vetXR2AbqIEJUnOGTwi0axkBFSigkcFREXBLCBRMZKTICKIkQxGgiAgYM7h/EZMRxElNt1Ve437fnNVAfe/z3NHjTXnyGmuvfbeVS0qgSOjSUScRE7YVrAssJGwgqvOAM89O0Fwji950bl6ywA+FlTePakBmjBJhyyM20Iq4Wwmx95HR5wmaXwhKakVT/XTTZVMpVixQxM1NzcOWJrEoYqlkzVg8cSmOgHtqNgpB23UZbOxGjE05RbuoJAHNQOxQA5GAgdCUQFrw6imhWyJhtgYoEAA0zDkdEFCAyJuazTJ+aQ2gooEC2iw1OZVBe2msQKsSWig1JZI1YzlzjIzc0ANYNnNVii4sjqGUjsGSSjBZELZ2IhSs4UnZiUoBDRpoFUVGcZsjTUxMUJrC0i4YSQKidBloyqU2SXzI8hINA2F0PFDaM6R99C77r37zce8+dOfvewzn/3MOeefc9zJxx/1tqOOPPpNbzrmqCOOffMRx7z5iGOPOuO8s8TjT2KkIPQdd93xpmOPOuLtRxx5zBFHHnvEm4458oij3/TGo4446uijPn7OJ8A3vf3NX7z2y6OJCZubyCTyrI6/PXWzR//7j//997//5UyDJRuV3Pat2z73pc91XWaMlPp68e5UvVAWLKgZGKTqi7/N3PS1r/zx/j9uv/1O2z73eRtvvMn8+fP+dP/9N371pvMuvuDsT557/qUXnP/pC8+/7MILL7/owis+ecGVF1145YUXXHHBBZdfCF74majO/dT5F1x60Ve++bV//uuBNZ691nOfu+2DDz144aUXPPTYQ+78rwcfePjRhx59/JHHH3/08QWPLViw4PHHH8/12KOPP/bYY48O+GjgkUcffQofe4QvoA8/9DDw0EMP8Ye8BwP/ItwDD/zjH/+4/69/nZqa5HjSv8VdYEAyPK1yRjSuaUDoaNx4DjF7TOyIGzdQuOZ8CdLui2iETB2WCI0AyjWdz7ZApEHobLEznRsjsSi3vzlFSQZLzqYBniRtSE6q8Je4TVysUIRBZRhLrMOlGSgJdaoMxSUejAIssw7YKN56qoyUpYlj3IiWUoQhrYRJsXDjCEDKKgSDlRrw+DMg2QKYz0AktN1kiZHWpWZcmHFFl9HLhMulSKKrgaJtOBBiKMFAeAbBJpwGcnzH+gAAEABJREFUhIEQfqFCZufSkFb4IR2QwjpNA5HFa2DgUFcotJFr8K3m68wDrZUfFrTI2moBMNkdlSUDkpwfK2BFxArDuRCLerMOIqRyFkRkb+9kg0BD71g3/YwQMTwxcWCAmpa3hxEKzEXpalo9CTNsMXnHzDGCgI8RepAgat1Xosa2xJtpFYaOCK1wBxXgPCIeWCZFf7KCss1VrUKpBWWVsyBtAkNUybYceSu6RDZaZ+eEaggQRtAKoMzGIKZFKBKqCSOKHwHD29NEmKcuPEROywDnzg7SAfOPEGao0N3Ayl1kOFntVwkU6eqkqFNQIuJvKxBtdkUvsXIZEGBeDm52qZrW0omazRCJmfRcaFgHBWOwBicNU07CVMveDK1AIkqhB2HTDvEHMYHAGMDb00Q8oItu01O1FAjElZDwzdLK90CLH4uVIdmGcCC7WkaWqBTAtxUwyJB4+mpDysw6u4twYjQx6kbLLLXMphtt+up9XnXK8SdfePaFOz53x5rS1LimpjQ51U9OjicXTm258ZYXn//Jt731mH323O/wNxy57FLLjVVjV0eArksttqygKm9zfK4ruEhND5BMQblRSjCYpu9++mOoBqi2oVPhqNi5gUo5KT0JFVMuN3E8BhWz443r9jtuv/ErN93wlZtYg1+96aawN9xw043X33j9dTdcf+311117w7VXXwtefdXV13z5mqu+fO2Xr7r2qm/c9o0H//0gMfu+8v2q76emer50jad6MvJF6+//+Ael9FQjDetXv/HVRx9/lFKqr77PJbpUMeGULj9VnJh9ysQYqQHZYOanDsIsGHBXeJVVVl177fXWWmudNddeZ601111zzXXXXnOdNdcY+LXWWXud9dZef7311t94w40223TTrbbcatv/eu6OO+y4wXrriUKpjT+wSJT6JObvc+MsfT6kUAL5ZMk8U7CsHloQHnYouGmMtWR+sgpgzkMi4kt2F6VDTftPu7TNgGhQnT3EtQxIgsjVzBTIwfPmFaFYgpIwbr6ypBQ8ODROgekyeA2E0zBHuf00ieRwHG1VI4ZCiINcFpCe0KOAjRRxsYPRejo4rAWN6RBqOFVkAqrtCSXc7WkledQAtVPeILBNqZYlQauBZckWP8MqIIzSOUQVFDIqhQoxBHHIXKSnOqhB0uWJ0Dg8FV/LUsrgEE0YidAE6UIXS8WlMlXbcmcNgAF3VegqXuIqmw7dxhGpSjCNIvSwEy5igmFaBI24hI+AnktklyGijJHUbkeMaUVlbMkDSjacs+v/Aw5gQSpcy5ipsS2Ewj6ZF4WUuBgLPRvZUStQsRUcBGvrpaCbKAI+2cUORZV4EvDMgy8C9hWCLpqtGCQCEEmCQolK8BJ+A4WNhIKi2YogKT3WCgxqVgM1pCzhKsAW04MN9i0sUiGUWCzeQAiqpLdIw+KKCy1ASERQIVUAoswLsJnbv//j7267/dY77vzWt+++49vf+fa3v3Pnnffefdd9d99939333Ped73z3O3ffe/fPf/EzPGcCmOr/9r9/v+ueu779nbtY+bY22N9931133XvXXfd859t3f/u2O279+S9+bm4rzC1cwOwj/+mv9//zX/9UAEG2Uj81Hp953lm/+d1vuhE3s2m1l3uaiV6NZWmM1LWOxLz6/rLLL3v/B447+bSTPnDyCe0/Bnjc8Sced/zJJxx/8vENTzj+lONOOPX4E0498YRTP/CBU05o/w8hH/jAyR+AOOGUE0489YSTTjvx5A+CJ5102kknnXLihz7yodM++sFTP/zBfz74QHEUPced1AzR8lBB5KgU+SCZWZ8yGCRYDoRmfDUDvKvy3ZI1U5oWDu6lJGN24rAsN2UxDOYCCi0XAhQkyE0FJd4qKSouBZ17TzHjoBEj6RhoM+feELQxZYYlYdYjIVD4FodsMqrcbymgKnMooAVGZLzQIgk2aSVyyQpUFmKgTX4CRsJF2FhYvVGLK0LZkUAqYMloWEKIuq0yQWYwO+kRgYMNRrgghOCFQiiIpFcDeDUBK7krHWFPXPH7Vtx4iWODnAmUeM0zDe5GsXERgwJiVgHyY0YvdIGXplsPiSUsZdkEr3SPOJ6kqwRBhxhlTJ+6bOMIby5hPKSVleiacbFIDpeVjYAIQmQjG3FTYetPaE2Jw2eClBEjImVTa5JGcaJ5kRELGPSNUCMSTAFioYSiiULV1H2kliPmChoRCIk0gURkBRoTITXiAiWVGxCQvWRKxRQCVSNYwBIOMpuA1BSPfJSyBSKRRavRcoGR963OwrGIV5hU21WxJUQ6sgrsWRQDK4AELxVL4dKXokdaysgGIwwhuBOKEoQpRi5E4mVt/KQ8r0TYXJ5esrXLUWAGNl5qgiFCwlZIAg0ooc4zI368QacUxbeyRMkAijKYIvcM04FO8ajM1WwhFKgsImDlKsyIwhZHxCUIiQCm6WihBTT/ghC1WXlQDdp82JeE/klUA/x5y4E0HsXEO8/4R4g3m+KYy8ZdQNuKAiJlg8e551Yt4mBQsJw7KPctCiaR5+VfCJqefLGIsfqeT/twKGKXjSsqzJuEPUiBQ6y0VxpYyoYQrG3Z5gmeq1Nf++693yfPvfiySy676LxPfviDp7/moEOWX/4Zo1ndaPZoYg44MfzPd7uJTp2XXWbZY99+zCmnnrL5lptPLDFr1rxZc+bP3ekFO1900ScvvvCiT55/0YXnXXj+Oee/9uDXLMGfeihPSUd95gqW5NkTs977zneff8b5551x3vlnXXD+2Rcc8/Z3jFMqFQqIkYdJZRa0jfBJpG8mgynynrtbxdSwe9IAwvLTsb3zDhKhQSWJtSHEgDFoqTMdAnL6ooU+f79pOwnrr3//3//9x/8K20SQFbjjzjtO/9jpo1nc+PhFIlJ2zmvJxsZm0XBRP1nA2CHvJBuV2cQzG31P3k5+/aFvuOjsCz95zkUXnXsRp3Px+Z+8+IKLLz7/kovPu+ST515y0TmfvPDci971jvcceeSb/vt1rz/kkNe8cr9Xvfj5L9p5+50oouw2FmlmsGRkUn2DdCJuPXY1SF6TmcTwBcsmJpDKJFRmjYAwPEcE2EYAociyYMYWjggUESQoghaJqJxXIUFBaohqRZAVg7gWO5o+E8g0obFVtcjYhhHxRGb+pMZGuKGOKvamKkvoq7II6cxViv+MgK4QYBWh8AERYGNSkzLJp9WDHAaiwz6liwACELlwyViqaKARIgCXsOQazNIn1oN/6xE5QmzSMHZVKUS0BsGwMB2kEMYsJTULeGwr/ipTUkpuHF1kH1SYyZQU36aIePrCP4ZPXoQPHS17tJD0BRZt8fpHDHYESkIRGZ066ix6xrorikGctGzR0p7qyUllKLhb1gAzezyos5C6GblENFyDSImMTVaiUk/ubqzNbW63KHDFRcJCiIvNHNlnsNQ3Q8n8gJ0wMb1FQo2IDds2CaUCZmkXSwcN4pZMGMOUUFRHGHZbwa5Q9Fwyi+Gyp5WKXSEAB6XKjBQbywFFw8JZY9ebAEpxcbR5/TYBTxj23EQY4IEWvpQhIoHOSjwoXveKQi0RazFK42EjlqYXpOQhMyuvNTc58Ww0oBTDLksuZ6GM6SDcwQ3xH2wTH+NOIzfH5IwLHAbxGnWdDSvAMjnpedHChb/+za8efOjfCKXMsFTEgf3D/X+48FMXzp4960Mnnnbjl2687nNXX/PZa6698ppj3nzsnDlzMAAxbpi4VFD21NR44aJFCycXTY0nx3xjm8rXtvF4qsbjfgw91Y8b1U9VP66+B/sGTxI9Fv24ydgGYyJNcquRZtSNyAvmtBA1hGVyktWglYQebK+WCBmCRsJ51KnZTdu6GtE1WceEQOdSA7S2CcgrvglYEootaKENwWWuIHcjDlCDHb4QpUFNPDDFIrc7cYBGgp5qJazM5wQIy1aDYs2logir0POpDs+CltVed9WCYAnaWara7YK2j21kRClucSrEAM+s7YqFZALiyxrDYWtuCEUMkUONrqwYyXESMRUJNghBRoYJ8XCBLasz46cBzssCqsZYQ0jmB02xCSisyR2tWSBTL9qCU9F9O1S4zII4ULgRjs8OrQrGVAiDvEgs25Ipkhu+k0V1RmCgzBkEB8JyEZWPcAnQ4U1OI3F6LLKH58JqkAgIw4umshu+YRgIJusSGcmNXySYIO2GYKTArynRkQHjqpAshR0q445EFEcIhDOxiazQGBBUbga2AkW/UJgQiDWNI/cQK9OAk5tJMX6RO1fRSVozgIUxcfbG2rAiJehBKsJDRW7yFyznQDArbMcqRcuiIi/DJUzROBJXjyk+5sbgaEWDanSxiSeu+oQJ48KPEJgQtctdAYmHi6XQshOWO6G43ZARE0upk93F2WKzhs0BaNwzFMT4R9Z1kmFNzEZ0FmBKgR0ODklXxrDjgMiTfgr/wmkom7DNiRpdxjFEtKLj0MXbGG+7cBQdIe4WhiYu+alV8DFNfRWRkRAjlmVsYTsYSWg9LMVmSZYBwgugLhibPBrCF9KOIJilP8NGiRPoGa1Ejyrb6BGyOwdCr4mFJF0oNGLJttQzk1yZS1lWg5JptKArMQexO6aNDA8ULYyiqdwYOfo46UloljZ2CcrQ3dtW68jGzOrszuNxbb7Rpvvs8YqVV3rWWeeedfibj3jlwa969Wtevf9r9z/g0AMOOvSgAw89mPXg1x50EMRrDz7oNQcf+rrXvu2Ytx986Gte87pDXvP6Q8H3Hf/+66699sbrb7r+xhtvuukrX/vq1/58/5+TpHInpBQB7KwMrCYmJnZ58S6v3P2V++2637677vPKvfZ78c4vEkPgmkFpRH3xKVU/LqCpEsJmPhBgZ6RYVOfMCg4hGBHbDCYOhpJlKpAEwcQH1NPAMcOc3bIZIEzx+poSjgsXPvE/v/31I48+LM5V6rBoyFvxhZdccPvdd/AF1bxwKasb4YwLliZms5cgVVmxwGAEH4wdRn1JPBQk2Vav1VdZfatNt9hq06223nTrbTbfepstnrP1Fs/ZZvNttt58ayRbbrLlOmut8773v+/4E0848eQTTzzlxJNPO/lTn7n08QULmBYlLb/scltutsWWm225zeZb/9eWz9l2q+eut9a6KcQBAeSjPgiRsZrUhrSqIWRMaN2UE1fkmoGSmx0yIyNpxh4riTCoi82ApAJt5EW0JMUOVHUo0FZeeVEpNgnsQoOLAtCDMimQN1k5VGfuh/DmtSTu9WbbIqAmSs+W8MhBWbwWNNxCCW+ZN39KsATPKgtChq8Q6NQ7a8nmuYKmcQ4RilMrDMhCPiFNmVUUBJYaTG8pRj3NYMVjDVYwAgyLMK6JqSKVBq9Ohml0CRtnwZVaJNxYyI2guDoWhLbAphkSlGFEI23XwFbFumJpOQZZSjY3stx+2lJEjlqkc4gysfJYhygOwUh7U6YwbQbEtnEGsekdoaESabBhOmGiaHvCaKhWDQazRhKWWomZj0RKmEyqCGAB7uwAABAASURBVIss3sQHm23ZjYw2gqIEA7k9eNnGehBTQClK2YJSoO2whXsmHxmsuh4j3M0NR8ftEzaPZVyRD6jiPsbeNtWhUbtYyp2ApuhbcZAIOK2qlpF3TGOImGPF2xJZjXHxLh6umUmIjSb1EhSFGpRi28ioKGXsvCZqEFkjnmMwJXIK6KkIkkphEBKMyaSY6nr4volpkxRguHY9RZtSmohy2Qv3hjzJGk0sdjiUFvWJZFWQMSt1zok7QLlqwn8+8M8f/fiHfAeCHdAzWcZTU7d++1b+JrbOmuvu8F/b7/jcHXd+7k7Pf97OG66/YTcaYUYZ5MOLiDIziqDrHAlXEg/6jtb7li46pSw1iEkjhIwImoGn05IpvZlOjGZ96OTTzvrImR87/WMf/8jHz/jYx0858aStNt9CCZ5mIZZcav7hb3zjhz/4odNOPe3UUz542qkfet3rXrfE4kuM7JE8cteNJnbYcce3veVtb3nLW48CDn/TsW899qg3vGnJeUvi3nWdXW4gUxYyTierZNOGnoTcSlycKqL4tHa5hWCZcONCmtl4mkNbliyEY+4cthSvCtGXxwyRNzVJaG1Kph71VvEJhhsMhYQBLwkZwlL+F8tOjS2FHZED+CCKv5KjjCB2qYG6xSMFxYAYEg+al6GcEJHwKomI1GwN26McVXERQPSJMdGqzCsJOkm496Vx7zavJqO1npoNYBD5KHLDJAaDbgFhsUymaq/tJkQyMz5RGyGaGFtIj3i9EmICjXhaUYoTWUJgx7EwL04OblqjBpiy960Go4mdytSCGOQlawkUATjlFis0LpoBHJHbFhhlbCVu+VgUe6sBCadmKasBYV/qZKHv8qYY5+nDUhRWwNwDrTAho09kNgWQBlKt2NAtpIxAaUE56DAaoBs2NVPCdDHtmjAiAno6C3vRbMk9dmCTl6o3kzIu3IYYwKDsPQRBHOzdOz1DV0erUVbrDsrk9JPDIppEvxZiBWxoFYG5EHR4chf0CCiKFwRrBlVdPLqsOHgaqNBO15HFpySRjVLhVMR0R6gq+kIuqldC2Z2GQvDHLhVAWUoyNbOsRHCE7LAgc0CJOxKiKydFBpssZM4omganopjChg3O+DhGvAJLJnlG1PFiR1lFE+zGn8IMSDGS3SKUFHJYWhQqZscnr1eGxCiwoBWeIR0TBDEpABvxEV8thpT/ZQtkTx0ChlfStHe0IqxEVpTY4B3r8NRCcMlY2BYzrLLDiX4ghCOX2zViLT6i2Y3vjX9BlvKogDP3XCmty71QuTN63DwiKLGQSTTXK4CuyKNo5dTmTiYqCrvrwBrxZHzwwX/f8q1bvvK1r4Bf/dpNN371hhtuuu76G6+97oarr73hmutuuOba66++7vqrr73+quuuv+a6664Gr73u6muuvTr/+O6aCK+/8bobb7yR9dobr/v5r3417tu/LSRHpZpKMWIFIa3OU9IideBUx28UhZWK1uiK10aZL1jjcQ+obz4soNIhVuwS/cA6YrsbdSNwwhO0l77Y/t/IpJ4uYA4DPl0ITZXUESLBTVFMWpSjevSxR+773r0Mt7P4SWIB2R9f8PgHP3rawwse6maNug6hxJSrgQIEpDXW977zvReedcGFZ134ukNeN3+ppdzeSptFc8PCuQ0iYULj8RNTC8EFU08smHz8ickFT0AEG7Hw8b//4+98OHnggQcefOBf/37wwf88/NAjCx/F+LEFj770pS//6g1f++qNX/3KDV+96dqbbrz6hg+d8kGm5Ra6S9U0x3h7PnH2EuU1Dd0jL/MjbM0IusptM61NT8jh2r3GzoCKG5PBSE7b8Q+pZldEIogwE3EQNrECqYJMkE+TERcUhgSK3HIMBZjZs/Xw2FSyQcN1vQFU+KRE7pJqEVpZXUVjiSIQUJGEMwaJELb5VDMjIFo1qOpsuRObTRvYCTfQgMRjKO6WRsjg3XcWKhAJHrKojVW2chGtd4eSbEikJmwpLX5cvSXRUZWleAnTLhSxBZRQqKJC0iFxWWFlCZoyS0BUbBJ9ohmKDIFEatoOlTKuwoNvTwYgewIKyKOnlLnBgB22qQ9Z9YRFZMxBGxWskMKqQbW+lDeJTilM5qephvSNxGo4NzjyUj2E7KzDhVSwiDoRRwrHgoCV8gXQSSINKaeLiQHCAYkwEGRTRYUk3Uhh1Dx5JVQhp+a+0j40ap5LPXpSudTzwzlWUUvhBratwxBRYncZC3LJfan6SgYcsEhATTepBlQu7JER1R1nghgPZ/BICR6MRIw5NAYUkYAiMjdhP+IXqNCtypI7ai8qxrAEHRK+z++uYtMj4wjxLC7OFaUbcNPjRCj1tdzSS2+wznobrrvhButuuOF6G26w3vobrbfRRutvkP/Kw4YbbrjRRvkPPGy86SabbLrZDG66yaabbrLJJhtvsjG6jTbaZKONN9lwo+AGrJtsssHGG2+4ySYbbspv+Hpak3MAzkzc+fd//P33f/iDYjq0KSpKIdOb9Ic//eGaG65+6NH/VDW3HsO01U4E2VPGBC6aS4sI0Q+zwqakSNlA5oAagjWIPhuJiRxxLiSFYpqEkzjOVnuvvXZ/xSv22mf+kks+/sTjCxY8sXBykvnSDMhLPOtoYtGiyUcff3TBggULFwYnJyeJQMiWgy8z/bLLLrvE/CXmzV9i/pLzl1l2mXe87dijj3rLRDdq7w5mLJwIZy+7iIhzW9mrG8phReRw5TRVbPTfaiYTphIWFQE3GoEERFMFD82ARkp4zMJycSjVdfGTa3h2xF+FqBdvsz0W2KElIAxW6alDRlACEwsNKZA0RIAdJMcLDcFLqSsD0DixBpGUSOMQvYCKOTJIV2d0UHIXkaWkkYbMNqxyzE9qIeJU3OYutLapo6TU6+q7XlX00Q8h0EIQBhEvZKw7rmSJmNqHzbFAGmw0MQiZyGQRWvKayaKMjQDnKtkQzL9gJfPDGhkZiVLi/iJU6qOy1rz44hsP1GowLR1CIGkEC73ENZelruNurbGZIg5l970JS4GYzsQqbpYIZfJWwGo1NRtovCUkIcsQIHFk5wgyd7QYE0SETs2tDFtAk4SKhQmfapCDxW0iORYMSo3TAM3X6OIxnbQSIeoq92Qgltx4icQUEymCaoY2vebq2KtaFlUKx4u7QV0ldWzzMBnTZovmHidhw1VqtNRHBUccCaF7loZw1SsQE3bKgkpsG4LKJPZgdXzEQwgtKcRIo7IcxtmkzrbciVdfZ+RZJKIYjhtSYlDuTEW9TAf4c8ugFDNBWjRJDcIlmCtK9+2+6nFHpRqnaWwxZTRgJ6IWAc1tE4UC9EwtRom6JBJgglPBuBUgWYGEng4q4he2MWX6reI4aDDFHQvshYFQTE9QQHG2hAZhQLQGoEQLJn+JKSo5bYvSxIzMcZaIKtqULVmmGzZcqCEi8kIpJMpmYnPXS0UVFvu4et7uBc2OoDdlujAvtLEqlD0SlHYVlmUbYZQQyOmc1WJqCNBBKBbsXSOksM5alJRnU2glB4uq+YUaiTAgfXJLeEL9SNCoKKRSSNeKUAIqUCztosgiOOrqqx/zGaGQgxiIDa5yV1A4kxm7Ei26djHULjHJypvRMksvs/der9h7j73BvfbYc6/d9tpj1z332AXcfY9d9tj95bvP4G57PEXvvtvLd9v1Zbvt2tZdXrrrLi/dZdeX7brrS3fd/rnbLbXkPJLKvZkiDXX2RDcxa/SXv//5+9//vpJZ/xdY3c9+/rPPfv6KqZqyxEHzbCvOR7SpxJFoazQa7bnr7vu/8sADXnnAc7f5L76XYYwcjwG7nHYVebk6X3391Ycdftihb3ztoa8/9Cl8w6GHvjH4+qMOrxrjQhCTRP73vx885t3HHvD6A1/9ugP3PeiV+x2w337777fP/vvuu/+++xyw7yWXfmqopKc9kJSkktn7nnY5ihTpomeElalzAFSOpihz8BHV4WJKzcYxIrHaj4staLxAbEoRSu6J1RcVQIuZgomEpeUqS0IZ5GHUyAiKRRJaW9jDC4LNXIQUYKkXdGGAGZJgq0yFkvMIU5QThbCutIeyJ0pfNlYgwywTX7kiE2VLhB5m1uqcjsI08CWERFq1ctTSCCh0oHggMM9w6CInWDLknhciCyAnKxpCEydfXGEs4iKpPlTk1ExMikSLD9VIHB29404OlOLCDFcjU2+3nQ4IgHX0UTTfRFY/eGAGYk8cmR9chPPICafp/sTJNdqagbg3Oo6pCkc2xBBNocGYgal1NFNDTGLQ9vaKDofWxoPOxSb4Jh4YN2NWVDZLdNwwbupCAg7FOqpWA+bQ8DiXhYXtIXBYdJjNGFUn5RhbXgPCEoFzw0KDxgA10RrDAkZo9uiMvQiNZ0EPOOiaCZ6FCTQYOVfhWDhwmkzKMh8bEJtrBnlvbaSNNCdohcJcEDYhFUCcTbLExVro8n5CAgXakxl5aAZNrBakDa4qN71NtBqPX7jjC8/96DkXfvz8i8644MIzzr/oTH5RdMFF51x0wbkXffT0j7772Hcd/oY3HnTAAa98xX48f/fcfY+9dt9z3z1fsf9+rz7stYe+5ai3nHDCCeeec84lF11y8XkXX3zuRRedfeFFZ130ybMgLjrwVQeOx2OK6ORAx906/vo3v/7Pf/6jlZVaqQ0M265+3H/tG1//3g+/r/bsr1avplc9DQraLSx/3H/RTi98/vY777zdjjs+b4cdnrf99s/bfrus20GAO+2w07wl5pEFxIt1zpw5m2+62c477rxTcEcMdt5hp53529MOO+60407P32nn5++8847b7cDfphhUTdbf//r3iz958fHHH3/cce8/7dRTf/LjH5tAHGVb+R3YpZd+6qSTT+HnpJNPOvGkEy/7zGWPL3icRL16fhfLG+B11157yimnnHrqqaedduoHP/jBf/7rgampvvrWAKNJt+q4oYp1iD2s6ZyDawwtt1uYpUKrSSnBM5TLM0UhblIjARs77LiSKNiEWXLFte2UXQnEK9lyZ03HsTsB8J1t9QNNvirbvWciIlHLIUQhVPhgHYURNjKxoi8ECKsJWWaIVAEr3pm4dxUWMyTNoFhB8hKUMCAqDBFCiJERFy8oQWFI9RbAEm8LmWg0Ios50xCFQiZGyhPgXrCYIRdGGnZpILK5ifQkwLdyUnJNm6UeeKqpaTt2DJXj9rQoW5NBPF0Gm8zxUOK58KJAqgrLBBi+pj2xkoR747NApwcZv9hiYUAB6J7dsWEHmxHpIkGLlwauZE3bGZECFj+GysVWXLKdK+3CNpqdzK0KlmZF0EgHmgOBMO90TCiWam9ajgUObJxePFJdLBmAom1JDFkMo5K4BZDMSJBxlxb2ZUkuA8OLTFIhA9HCiBAKuKA6YwxR2GMIIm4OCRaznKeMGemMoMlDNFmsJRMEV/wswOo6B1jRKZAc7EhLyIwh97ACkNkSgKNWEYxmc2Pl7QtWyoEWn5sLI3RtZKLmfHxARrR/ynDeAAAQAElEQVSKTXyUpRUpRqKEUHHyGMQDtdhlQk6/BZUEW/LwQ3xXs5keferktYm8qucTBq8T1jFMO0a+0vbQ6sccDDpcqQ9aSEucjmwaK5NGQKGgQHIggVfbZtQFIMTBRZGKtmsWjWzLIE+jSrYExD7nDVvxYJdsWZIBSRYtS6wgLgLSD2RpZuaGpAfHH7JCOEuHk6Gm96ZrxiWGi8uAkdNeMFMWrtNYxHKAZjzIOmlk0CODfP1xNwEl2Y6VgGqhICRLQqMuCwwq/V9ADsbHcYwr5zO0JwypC9M48ku/idmzZi8xZ7XVV738ss9c/pkrPnPZ5eAVl19+xWVXXHHZ5Vdc9tkrLrvis5d99rOfaXgZ7Gdhr7zss+DnWD/z2Ss/c+WVn/ns5y5nvfLKT19x5WVXnHrSKauv/uxuRF1UXGanzgnPXmL2l6/98oP/eZD0KqTZuaYLkh9+5OEvXvX5n//6p9woubsyJ5nz4AgazZQGth/TFdjTFkphY4UYzrWr7F1Rwy9+9YubvnLjV75y401fveGmr9xw403Xswa/euNXvnbTrbd+k1saV2rg1JjO5MKF99x7123fuvmOb9925523f/vOO8A777zj9rtuv/2uO/7nD/+nMOKRRX0huHAlNV26QaqAr+lbkvDhaCPINW1kGSyW5tARhVjpI7cSLpLBaitUs3QA+5KwVKBJ0i0G0+KqZg9XhsrFuGFFhmGDQpwSyWYx18iREryhpgEPKphRJtq0Ytpd1WRwwohg4uzYGvLCj5CAbKzNtVIsTmGsODYqRceKhKYetugs3GqQp+OKUEgtA2i5wyQrUJKh6MoyfixtS2WYtTAKELwxxiL8YBDKTy4hmpxABGZVCpCGNaJc4qHanDBgB6dj1rBTDKkpqys+90ct8YsjDVqcFLCEidgEFJdamqppESy2BMOsmh2EngaOEOvCTGLE0OysvSUE3Ie460mw3ExJUThB/7/WZo4xkVgbtqmZs8GTJwtt4QHiGomAlosd76xuWihsWZOQIMIaMpExgJKQxNRKV1Dg9OyR1LRQEFEoZkPNcWzpCSRCgwoMWm4/hI2PyzDReEfE5QA8ZMcrgG1AkqQ4gjmCtpAbGge58TBQIbEuQWQkgigWyqnijbEsu9fS85becpOttthky8033mLLTbfaaqttnrXKyj/75c8v/cynP3bmGWede/b5F1xwEV81PnXxJZ++5JJPfwq8+NOXXPSpT15w0YXnnH/uJ874BHjjTTcsWLSAP3TxHWaTjTbdmL9rrb/xSiusVOOeknjAkqobjf78t7984aovUDtl6P8DFITsr3//2yWXXbJovJC3GuFpG2kuthlEZkKK0bzukNee/dFPnH/meeeddf65Z5937lnnnnv2ueeddd55ZwfPP+eC8885f81nr2liycqBKH9ZOuYd5555zrlnYnku65NeRDjv7PPPP/P8T5z+iZWWfyZnlad4nqd9FVMDeRsdTo5hiueyEjaR9TTAUWK6udkyawUwCnbuupHUyU7L+XRDqFgymUiiQBKXpzIhIHl4y6iwba9VOhrYEGU3xlgPpsK4IhP60G0rdc0E4SCLsbCLH0IqgwJDc0G1jnCejpWtXbxwyQkZG6u3BoJVQiNSCYCPygNJKghhgByLrJLQgm1XA7iSn7QuChBWiKeRR1zxMS6cUbQXsxkMwnzOooDWCw2r+bIiE3VaBK7KCxFqBjuJGFXEanbhEMW4NSac0DUaqyrbja90J6CiM35CU01gG6bCwKN31GGH/E7QaFqnRmmiVCvNeEotOCnMNW1MTA3Qbp0iHCLnpsPCURXWgydKYkRmowLVdIKDGRA1n90luIoDYbJTBhIQDwlthcilAJbobJbGFgII8g4E40RVHJTw5YqlU7OaAfbULCAylFiDGQAbSABsBl+RNjOImBg4Yce8gkWhzWpa6qIB26xIhCq2fMcwNOWRzoACVVmNTUN32SIaLrIKia0GNkQhtHlCiUUOdOZW5uVtWBFiBK9COtJowt1ExzPNo84Qnd1xxStxqN8KOBsSUXWVwgllKhcPm77RKmSyu2yq9pqDQWouyUAjZF4bAso8v/AVkmiSwbLhO6sLwLizHSmBIbqRu1FU3WjUoetYpM50oby4iqgKcBf3PJzA8VTfj4Pjqaoe7FlVpEzGFGB3OBPdsg0JOpG7btRYG41iPhywmh2N0bsAC4EGsErEa0xlJRMIhRUriAlYNhJQsuzRYFS94HBkpUjyYerO1BlCCNRoVoSqdsvEElUQOZESOmb4SIvNnbvmGmuss85666673jrrbrDeeuu3/0uQTTbeaJONN94064ab8v64cdZNN9lwkw033HiDDdq/I9lgo2et/CxG0ZlJZMYjd0nCvDrDw5EPpGDWYG4LXlkdEuqghgjbRbk4g7bFpzssOQ3ly0HIZmogxuQb/evhf733A+89/KjDDz/ijUccefjhR77x8CMPf8MRb4B4I8I3HR7Vmw8/HOJNh7/xqCNg33hUhG886o1vOOrwI958xBFHHX7km4884i1HHPnWI9/01qOOPPrNR7z1TUe+9ahbvnVLknBZ6jQxZ/Sb3//mc1/8PGWoAURDsVqysaqf/+LnV37hysefeMz0jlQB2rRnGPYq7q4gOx3hTwzk4iSqIDC22ui6EfcXpJgFoYhUxQtKzUpk5AZDHqwmJB7Ta0i4YHTtwoB7oCdpLuUu4sIEBQN24s6Eyy0j5EJNyKgambyNiDAEFQmgKju2nfIu5oiysKuQ5ZZ0YYI2Mq6I2JKk4inhwJ1a2XiMoIMb8lCOVXEfKkFauTDFbFrmhAordG2HiNCkcgaInIcOIrQVX65CIuITTiUjQam2Dc93isC/NMiwCYWdE4G+g82cmtmr8YULBtNeFGbcLaBChLJpCU3sIxxILIQimwoDyflxKQUqYUMMJrjKEsJigYgLV7SUXbEUBhAoIZTqBDQ6alJMa5sodC5MlH6c2Q6VIQYFdDFlrxQITSpNq4a9SEomUxhqLJNJCl8DOaw2t4YGiHKgWAtPNpCT4W981D0TCFmwlyIZvFjlsGqLgNRIXSnRRkpepIwRAqGHQtUZQBFHP3lvYo8es+Q1tk1AuEYWHIGEAr1mgIZ5TdMY6uk1IobXiz7plB0HBNVLWCWIArz6IjWysGpEiZcpuSrWMj88YS3xlijn1mwfelpALEVK7MeoChkJJBeBioaFW7H0HkCOIIGzC9di4airWdM7FrQrGqI2kL+x9PzKq+rBR/5z4odO2v6F27/t3cd8+vJLv3nz17/7vft+/otf/O53v/vT/X/6y1/+8re//u2vf/3rn//85z/84Q+/+c2vf/rjn3zn7nuvv/7Gj3zi4/u+ar8DX3Pgn//xN34PRyKSEd+mBsnySLPmzjruxOMIYDGxyCSttNIzd97pBfPmzYd2DcL6+je/dtM3b5w1dzTKULg6SzaLngIGoQxhuaWXW2vNtW/6+lfPOv+cM885+8xzzjrz7LPOOAc884xzzjzj7DPPOPNMkjIGSVZSP/LIo1dfc/V5F55/7gXnnnv++Y04/7wLLoA474LzPn3ZZf/4+z9XW2WNCU0Uf5Zi2vQTf84qFB95BjGEZuSNYMl4K7uwoUaQAE3AYlFCLtMs1ceyxN1T0RhlJFJvDRA5FKyNPQZSahjMbEcZJgS0EowdhdnUWHI5BJ+PJNssCZIjGi4BidqzN60ww6Q4QraknC5EQKmX0x0uLTVfRWl7cOTGClEEyC6xigDZi72HQURJA9E6LVEUUpGFYSRlRc3SFKgsLAdebEJENPEEkexwwxWyVOI11FdeTaG5coM33VA0jx2IuBKltUnhSIKG9HDWVFs2sSJvx23VqGeYNmkVcEsnh+YqORK2dEJ0KaoqAulpUI2eEU5z5SKBAYkFxnIlAXxiYRfWbccUWYkqFeC0MA4K7zibgEX3PPwoQIo4bNyZcmSoswmwNEKj9G5hq8orTy1JFJSEgFWV6JzIQDQLJOxiwzcumIYTHUhiiBHGWQPBJqKaNriUfHgiQR1fAY0bdgIrl2JUJRfH0FQ9PUDwiRMVeZiASkp5cFAJn0mYOWCCczx6TAqxaIKdlWdsGCg2yhJbY8TfZwai8GRe/Ka8m+ynHn3i0SemFi4aL5ocTy6qRZM1OSVwqh+Ne4/7blwTvScqOKs8uxvNGWmWZs0ZzZrDdy9RFx3RCGu7W0xGUTg1S+YHBd0pQOJpCXJar/LY3OGOEm/aZ21V4p4aq3i4C5PqTRJQg5rWmlcWpF3hIMZRITwadTyrR3MnHnvisUcee+jRBY/R5mMLFzy28PFHWZ947LHHH33k8UcfXvDoI4898vBjDz/06EMPP/oQ638e/c/Dj/3n4Uf+85/HHnrosf8gefjxRx557NFHH3/80QWP599gP7FgwcInnph8YlH+Dw8XTWpynN/GVfHdZ9SPu3723FkTs5mMO5siS31KLJWL3qoQIqZeiNSrgqb/KHChvTBs6INQ9NR71PXV7F190ey46xIY40j5vRMpZEyRhOwKb9hC1WEvWFRiL7NQBBKKY81T1YVQYqktNt/imquuue2W2751y2233XrbLXzVuOXWm2+5+Zs3fzNw8y3fvPnmb95yyzduufnrN9/yjVtvvvm2W27+1s03f+uWb956yzHveEdK7QNFdALKLO19kD10ypMiFpC8SGiKNTwCzSjVgNFZ1CmKruppk6k0TWUUFbLTvx/695eu+hJ/pbryyss/e+UVV3zuis9+/oorv/C5z33pc5//YtbPsYJfanRbP/+lz135JdjPYzNor/zilVd+IfjZEJ+FvuILl//kZz8lD8dniW88U55641uOeODfDziVoAE1f/6S66+3fqdWJhOubtHk5OWfu+K7P/zexJwJyfr/gGWA24cuEkLcK+0fimcQnAcOHKiVV4phpoOLfhmEeuwVZiBYUQyrFHtNa5kYxkMG7LFCE92Qt7mgJVdU3FfcL/GnOOJgBBEeL7Z8URF3M72jSmw2qe+p2hFyEVLtdcrLu9TbPcGbpOfuJU6jZ0gsm4NpEAVqM0AVyUV8Q9QgF2WiFikKkw5CEuEx1tOhKPnpPB0RgUglSo8vWhf1Uh3BiYHQ2EitFtQRs3EiipeE2q4haehBoDSuwq1kU5lEmWRhB4srSC7RYCNF58iDpSoxu2q+xtUom1VP0GjDSD0BXBIDQVBwXPDCJwIbiqy9w2EHHaoKuagbJgGzobXddbQCa2JBWYZpSK7CIGayZdGVaVBIexteM5DBtoG5MG93AvugjS5SqT2qIAe5JZ7oAgjlmdJqHLl4f1Pf9/gaA6pnDSLBtBu66krJl8rUNzshaNlZWvCSEoo1MaoMRWUQJcOY524TSXDt6uNbpWamGEEKbaZjm5PpuZFRdH17FVhJVcKnr/QY355uS7IZS66CEYCbcCBHjSulcTcY+VOYQK0qiBaT8Gjx6BRviSNzMShClqCSRckWewAAEABJREFUpKpDUT2WtrNyCYeU6EIyYCFTWgvLGJlbxSvJlHpQDuaGata8L6T6PpFClLgni557jX/x218c8oZDTv/E6X/9+18ffezR8XgKL8ttZXkaMmq5ayqpr6qFTyx48N8PXv+VG/5ru+fc/K2bNT1Oei5j2Knv+nMvOe+a669pUUhNObK7jTfY6KMf+shztt5mBBhAzweWyXe/713/fuQ/3SySdBEpoSAGrL6PfxtYX5a7a6679sKLL/jkpRdd/OmLwUs+ffGnLr3kU5defMmln7zoUxf+68EHBse2+rFHH7vq2qvOueCc8y4899wLzzs367nnXHAeknP4K9jF5//oZz+iKWbJSuLll1/hoAMPftex737XO971rne+652s73jnO45957HHHNvwHe8YiLcfc8zb337M2952zNve/raj3wZkOfptG26wgdwyZwnlvPZKxYFHlO8tPcdtlTgLLqTGp+gNEkGJk1LuDnhUZosIuagQNtg4NB3BxF2ELLc3EsU9e3JIjuVIYraudjN01CQkIhpYTghjqRh1wg+f1GMB+Z8TGEE6KDsy2CCW6MEeCnm7/0WQGNkeDclVGGPFCz9DnmHN0GOs1NMqw0ayB9pDeW4xKMlMqFUhq4+LmoF6LGBN2CYxq1nahS1ssJVYnZX+DBBLRMhEOmHHvUt1WBQaI2h3u2GUq5Pdj7MygwgEmKjuTGmFFKdQyDsusAonkMbhZMlcasAnOziqrsa2sipBGBr25I2pBU1Z06xiIGwFJLfEa6InBK6g7QTld/mylBSMp4pyjAMXlpz4QBA2wgzAfd+7R4kGGQiHHolkI6UqNUDa9izmbJoJRcKjQiKRDk4WqZBxzJSNsAZbm65zajGSyMSiBpG2aQrTPK64LOzFALAoikUvuq7e6U0ykUUmBySELCJAr3g6ZCirxrbMY5jgSASYq5xwEDBgx9gqIyMEFVfn//nDb7fcdos1Nnj2auuttsq6q62+3qqrrrPqKg1XXXvVVdZcZZW1V1mZdc1VVl5j5bBrrLbKs1dd9dmrrbrm6mtvtO5nv/jZboKsHVMifsKSbKZOJCYNUvU57NQsi5sKjVrxvWxxq0kWzfJq6tn6MoCoBrcOGZyND5fcBkVomBE+FjMEGdVYEmw3mhjNmXXP9+99/ktfsM7G66614VprbLDGGusH11p/rbU3WHudDdddd6P119143fU2XnfdTTdYd/MN1ttig/W33GCDrTbYcKsNN9x64w232XCDrTcIbrPBBlutt96W6627xbrrbrbuOpuuu/Zm66y9yTprb7zOmhuu9ez111x9vTVXXX+N1dZdfdV1Vl99nWevsc4aO7xwp+//+Pvi03WX5k0XpdROyRLd5M2GeqtHGoSOIVPsRHO22IRHnqliMhYCvPmNnRAXvPrB2zY6kLtG1ZgWRHkyS8acuK5O04AEKtZsGMkei4PifkbAaIM//elPDzrkoL1esecee++155577Ln3Hnuy77XXHm3da6+99tx7r71fsfd+r9hnX35ese8r9nrFPnvu84q993nFnnufccaZU1NTY/U0zUqZPQ2aV0NRP8VQEpmCWAi7zKOjdkqzUlKrBaUpTo6lyp1H3DvTbJPNLLhU9dX3rGNSj8f8BgFsf5vsq68xv6Tq/2+o/0tQNZ4RVV8gXpiMazw1HiL1bNxvC2vR+08+/r7v3kuFSS1BUMsO2+7w4VNPX3vNtaGrVW358cceffdx71rYL+xmp0VUYA0wQ6UnTlfE5rA10ihfvikHg54RFmX0lDR4dep5WDA2DWmnNxieKU9DMfniZBk+a7Nq1bZMREZod4y0C0VxFWFfJrQhh2y4QIOWidTYGGJllZ+CZkIHJUuIJWGQRUBJPXJ55Oq6CGJqYwNnaVh5CRcikQpnKsDSnZAVFDYyP0INO6CHrRNDG8hMB8oAllDB5mv4J31NBqvvFPuO+MULNYg5rCWLBlG0ylMhD9AcQ++mxCCzVIWPCC8haTOKLwaIiwyW7V6qMTKQoDa/m8Eq1kXwOFbsoLGQZDq3Ah42yIK0Cz5VI4DiZiFecyuOkvsHIYiEtcOIqhrFIpsVRJb52tB5gcZMfQ9HmaIwV9I0M5XUY+CMh/QFH2cFOlyShC2s4isAGxGODSQCTk6zkAkaC7IglVoiBBkgG+w0wpAuJdqtyBYgmYiMknaxHKlNCrG5Io6WrCWqnpahMUGQko5CKNP4iilRAE5Fc+kjwoq2R2hHaSxTq2R7JETGAmSTMeGCoxcsJWeOkXLnorGhZbc12ipmZl4APVch6Yua1MC00pkVvaitiEFFnSWn25xQJQvzJx+TZGhoLCw1DTwFsJ5mRAbhks8ITYQpeWNPDGFos7qQq8hBe5Ii7GucUFXmMRQxdTZFJ37PdOqHT73tjtv6nur1fwFhniYhMBmIreSASygllvTv/zz4jvccc+/37nHnhuo9/tdD//r8l79w2odOw77Fwd3YLz53sX333GeTdTc6YL8Dlpo3nwOiPHJh9vd//O/JHzx1sqY4HyI1r6ctdIN1SQ4wVxFSgWFntdwwQgxJB8LM1Bst7IjCRUK3JhAIKsVV9eqD1mj2xHLPeMYznxV45rNWftbKKz9rlZVXBlddZZVVV11ltVWyrrrqqqsBq6/+7DVWfzawBtfqqz171dVXX3KppZWXN1VIom7eO7sC2qR5AvHVqBNLDAoTyqHWCgsHlltRCNk5UkpDKmERq9w/0FXRltlC0CiUcA2HvcWP8SFCXEIJNapIJFMbQVwICSPxusMIURktrybDKgCt6tzcjVlk7YplI0SLIqBkSTx9qhEaU2nQWGYGllOMYNUyskLTK4RIIYuXhSssl00whStS2EYG8iQeV6RCEv8wZaaKbVcICZK5TdvLtMCInGitAIIUApLBDgQuVGDOyzZ6YttUkni4qzeSjpXEoGOi4iVOThogSLU52tjRLDYxKXSFFzShBzm2Uo8ENqtZhqGFQljVKzmFZVU57zfYaFDH1250j67IQA3R00NKzhZpL6y6kiEgEzFezSTmbeAkluWMSDRQ0NEVNeMZUsQDC5rLdogsKIQkLJcsVOTFFgIJpQuZKQFTA9FSs6YhlbjRQ5gc8kClJ+PLGBBQP2vJLQyLZKL2iZhssAireH2xg3SBbJiepPjRmxE0Gn74JEPztmUgS7t6SxRCBbbkWbMmLrzkwr/8719lzZk1d/E5Syw2Z94Sc5ZYfPbic2cthmTWrLmzJ+bOmVhs9mixOROLzx4tPqubO8tzJzSnpuqBf/3z4ksv+cvf/uLOHtlsamCCN0IQoChQcglwDVqX3MlGbY/UsauT+akqp0+Mg3Y4xglKfQZOr+4MoM9tCwVWM6B5u+tGs7vb7rj1lQe88ue/+sX8JZdaYYVnrrjCM1dYYcVnrrjiiitxrbjiCisuv8LySBquwO+hQqy44vIrrLR8U0GstMJKK8Jit/wKz1h+xeWXW/4Zyy273HLLLrss1zLLLLvM0ssEll5q6SWXXGrekkvOnz9vscUWW7ho0c9/8bO3HPPWm2+/Zey+m6AtiwLNCs3rqmtVWh2SDE7s0ZZUPZc6qbNZLYEsnWgvdwE2mLIiHOVZwWmKi/aRuFfB5KA9UkIhd7UYrOwZHgrFMru4UTifqs4yDrnRSuYvfj/56U++/73vfu979/3g+9/9/ne/+7377v3uvXx75SvGd+655+7gd+66+5677vnOnfd95+7v3vOd++69+97v3HXfd+/50x9+zyFKHb/mJClhqYlcJgUfVjuJDkBNA8YLFy1YVE9MVv6muqifnOonB11REd0NjMRwZAWbsGkFUDRdF8Prubg3ByNWlKJFqTmwhaCc1NU4QWEXrMEw4kRThWLFPF5iTE+MF/7yd7849aOnfOazlyVV5HHFcvE5i7/u4MO23XLbffbYZ7HFlvDwtpvj0K9/8+sTTz2h15hzp3gcsJ9BA6US24DVQFjlyFGIc6dz8k31qz97jR12fP6OO+y8047Pf8EOL3jBDs9/wY4vfP5OL3zRC178/B2fv8QS8wiLJzMGaW2VVVfZcfudn7/zC9DutMMLdtp+p52223Hn7Vh33vF5O621xlqDvbgr2x1BumKE4jMDGg7MbrWxFNA4FO0GIwOpgk4D3ELKBKmaU1YDaESYxJYNYeWrQCNr+lc01aZYlABR5KRu8oGjrsNdFQGpRVpSJQhnwQZC4A+BFWoxN9c0QcFINUCfIERDmOzEIazLrW0ldLOb9iUmiAQjPJTs4Xoo85mg0rFxj7A9Uym3aiYyUgxZmy+RGnYSvthYhiSnK/2GbgQBCWOsOtmWKktTQ4AhuWKHMjZF5J5+jQwaH+UatAikvpqgLRi3ncCMQkDxxGADy1GNcLfNioizr4gbS7O91Oo1OuTZoDIOtgEjK7zZXSySTTNsMkdruZFULABL6lZBSo4qV0prPk1m2BjgDhmEY4syLqKonAZSSEWTK3S7OIKBj7GbCI9GlCKrsBY/UOiLDZQ7GBk5ew2EJbDL4hKOXKARNEOnZ0sGFIBme7JJJgrbEPdmZPEDwgsyGPJJXafMLUVJUeaekQ3NVZSSjREigsoRNS0SqRPQFCTOORE5tTDSQTFYhM6YWhIPXRWvLOSNYbxVyp1SSEnRzeruvO+ur93yDdTYDyh57uy5fIPYcvMtd9xup5e88KW7vmzXPXbZc/eX777rS3Z54U4veu42226w9vpLLjG/laUZ8O/+8PsvX/vlRx9fQBy5+/fD/z7j3DPfd8J7//nAP3n9Fte0qXfYboc9d9lrauHUnrvtSQo0lE0NrHT2pau/dPudt3ti+iU97dQ2dw4mQV/K3Wcm0lQ4srMW4RrSKDRCEIIP5awgLFhKFJJCgzAgMncdBGHBv//1b2ec+Ymj3/7Wo9/21qOPfgv4trdCvPVtRzd4K8w0vuXot77lrW8JHv2WiN/21re97eh77/lO5cst8UqEFtmKqvldn/jym4K4C2r42B2l8ghqDbUFEVgG2GUH5dCSPRCsoHr1TxPk/iWllCMapqqAZTYiogShn8QoGmNAsrm5qEzT4Om93Y+V+c4IWgo6EyYglBvAw4IzhopkOqtpsErtJhYAP1iypviWBhqVsCKongJ8URUXsqTHm2AwEEhZJXYpPXSCtweeQC7E7GqAOIHYbBZss8ZvUA/cQDen5h2pZQ1IF5ACsuWCFDpshRMSw6WnQYKwbxILeSdsuAZMNbFkxNMHR12DcOhxULI6p9siyIDazRPCGZARYkQeNVINUKFsZBNXanfjjSCIkyWbRWIB25YdHaphjQHt2O6EzsVPNLxslYaaDsIQGFi2cpFxaAQeLMsKVBmVBi4xPcgHgRq0UNx9RlgWq7DCrWzYMJhMI2JQjMVKHY46J2tKhbaNnJKNgw0zjc2r2pyaCvU08mwY/h8CV1/x2a984ate87LDDnnpoa952euCEC899LWsLzvsNS8/7KdnUnYAABAASURBVNBdX3fYrv996K6vO3S3w167+2Gv2eO1z9/mBV2NHl+w4N//+Q8PN/OYGXWstimGStpGVrDMuRW10iv1F2/vMYjEEOmm2i6MCYQQ5KNXaEdo1BahO7px1zghoF3QREAkmlSTdn5sweNnnXfOI489ustLXn7aiad+5NSPfPS0j3zstI+yfuTUD3/klA+dHjz99FNO/9DJp3/opNM/fPLpp5/YEAI86cMfPun0D2f98EdO+kiIaD8Umw+c/iHok9p68umnn3T6h0/+0IdZT/zw6Sd/+Jijj501ZzZ//fjFL39x4ikn3nzbzfw1o5twN7JsLlGrywGJdi2xBduVHiIaGJl+Z0gNgNaBrkMBkXhid4YrWZ1mwIaFYWZi+rmGObOi8rRlSBGmqvhcxuGAvJ1GjCGaJ9FYST0v5oZ806PTYP7s0+NMEUE7dUsGqFOE6SkATvl4jXOfZJqG8Xh80aUXn/bx0z545gdPPfO0kz9+6mc+f3kpHyOmSxQuRCEOoyvKGDwhwNBGpXwlGVN8LHvRTYQiccn8BDUDzYGwQq3/H3jSkYJHo9F937/3qGPefP4nz3/kkYfxMhfZREk+aL8Dd9p2pwnPPuBVB2684SaFyk3fslx62ae+ccs3PIooKsmOFk/B99zt3A0UTR54MBUyBKdAVD0jG0+OX7X3vpdffNnlF3/m8ouvuOKSz3724iuvvPSKKy+9/Pj3HffcbZ87e/Ys7Bl+R3hSlJ7xjOW32Hzzvffc613Hvuvi8y783KVXfvbiKz5z0Wcuv+Cyyy/49IH7HpBfXMtqRbYbBXLgq21hqZC39mZSqdoBao0bumaCSNMO1YimVAAe1JPagYk+VHb60wB0rBg2DSNAS2RHpEZklSWu8Ia02oq1GlR7DdiRWygtK5AmkIrLHkSCqZBc7KAaNIJbqE3/yfJcdo/egaFz/CKQ+RFqmfE3Jq6y0Q5ItKqw9AaiMZswgdQA+AphKXaIskU7ODaq6W0LjIWzcDYzoZG3ISKexljEAAubXqoGBTSEZQ0DC+MsiihUlc3QZurEjNAI9f8Cio4FUWPtOJKFjCl1xtLErBJaR2Smw60OK0FnwRoWkwhclgSfMDZMVVu57ULUU8pmFT6mMj9EitpAXgi2ACxS/MDECCkoN5DMn82KupENqAaFXwtMYstqM2iCDn1Fkt3VWQ6bGEjMg8jQkHj2sauwZewyVGJQj4qUFaNcEC1qQYBWQvbNhGEVQQxkE4BIfKg1fLiZq4iMDEOrb2sMOudrPgsJIrQxK7HiJ3ZTlA0BQ2GgBIeIGgsyjrQikXQ0q7vt9lsnJxfiMGDXdc/Z5jnnnXXe5Z/8zEVnXnj2R878xAc//rHTPvbRUz/yMfCDHz/zI2ecf8Z5n7rgU5/79Of2fcV+YpCahqmp/re/+90///UP8lX1Dz/y8J1335UvWmRGFKtMhN99nnL8yfMWn8dXjsXnLP6+d79v3hJLSqY4NXjwPw9+6jOf+vs//z7Fn4+flDZVJ9tyBzOjKBnuaVhMpOEgezoLjZCZQMysNEA8HukQYrww3ajrRjzj7S4C4lsGOxl30IIVKxIQwkiFRAPANmSJcEhnyL7veZdtb7Z99X0BfR+fIaDUdkvDPEIob4KeVrCjgrEtiotZZLa73pL5Ke40oxRCsUCGMjSFyJ3LAN6ssljbgl6CE2CuMkw8uAwPZiuxWjXMuHiBqEmquoFAVYAapJjCVqlUwhJvVhCCFBAyJOHsYce8KWxqZcHL0bAYkEQmskDbcBY/HRe7BFERW6zmHbmzQU9Dsy9NiwqrJvFAKLttPuBqAGMLqnXMqrjEuCAGE6iCwpI1lAyEMAKF427TNOTvDFInN95DFOxlKz/FrlwsFpWzqwUz0PjOUifk7lg0QJRdpsiCgaMxH9TIYDXGT/YAARNxU2RpF3Zdy889JwmD4SI9J8pqxc95yKC2BbRFlTwGRH5hNoinieYq81Mszu+L2kOIQgYV/tReonKJCEgThEulRGXpzOtRWBgmKIIJY6sBYZG6OuzdIQTFBYoggw11TnsNvGIsRDMWlCE8QMms5nhty1E0keUVl1npeRtut/0G22+3PrjjduvvsP36O26/4Y7bbbDD9hvsCG63wU7bbbjDdhtvv/3GWbfbZLtN1960/b5N3FujWaOJ2aOJOd3E3In8j7hmdxNzRqPZI75jjGZ1owmIiW7C3axRN6vrJkajWaMR6wS0u1HnoN1eyJxLCqss4jYDyWDxk6JdcjstS0xKvNOU+IzPAqKy1RHJf/vb3/7wxz9IdciBh7x63/1322XXXV6+y/Bf9N7tZbvskv+i9667vGy3XV+y224vA3fd7SW77vriXXZ9ya67vXTX3V+62+4v2y32L99t15fvtjvrS3eP78t22/Wlu2O/+8t33/1le+z+8j322GWPPXfdc89d99p7t7322m3PV+z+ipe88MWjiQm7mzsx99e//M3xHzj+lttvnbXYLI/kTpQuVhqDNMffjQwFmlJtdx5xDylt9ragaWuYiRsgQouQ+62qtyRbickiABcjahbskjVAJsnZJ3cEhQVI2qzcMOQkphIdCTjtaSRYqUFHJgSeAV5eQfHCRDXqutGom8jRjiZmTeSeCK3RyF1n/JTFHii3iFnG/fiLV33hrAvPBs+58Kyzzj/rmuuuJhM66gAhKGGGmGmhSWeWtCfaGFKI4K0hQblTpwaVXlB1XE0g1CK08rYEgbykhpAgjim3E0dnW3/5219+8OMfLlq0yPJIHlzYnrv1c9/19nd1pKp69qqrH33UWzvl35qgAgnJbyXOPv/s3//pj7KbBNcBjSR1YZTMUhOEy1lylbnNEbYjmzVr9pKLz5vP32qXXGr+0kvyd957vnfvKR8+9ehjjz7znLP+8+//mAA0oAH8gx/+6Jzzzz3ptJOPfc87jjr6qE+ccyb2k+PJ5Z6x7HLLLbf4YotlcPg08yIVD63QKZJnRSIhtLjV2t4ElAjiZRq2rYIuVOVAxmskHkBsTMZWZ4BZqik7AYOvoCtS7hOENN8ZtiAM72pm5RDwQaNHnfLZnAjTT8xoCi0FlRQFa8FRpiFz5VYnGhxUCy7ZQTUoZ8tis1r8gAgNsCUyfk1uyY0utlZM2xHTRVRckSBgpFlxGOw0A44Nt0GPXASvclRQ2YQGsoZuGxcylySTButqLjEjiAagLDNbCf10v2pg7AYiCcloxyR52qjQhecSftnEk94wammgJKtBRyyw0U2WUEQKbWPEzaMYuLiTK1XDlU11vDXDw+YOQ4tP48vI0GMtDf0MWgwYIrlamUV0aNvIlZy4yR5YibSJEGHopwxQcfKRV/HBFbY6tJW8M84wkRNDTUSfFVAqqZIZbUcFo9kTsxefw0tx7uKzuxG5uedoQrwxxb9YRDsmgyCKfvCWKMDpnzYT3wHiy0YHxiit933vBij7co8aqsrucMcwyCllkzq7EX5SAhsRDj25q0RF/GmE/EwSuigAJgpItFlxShJqhGpVN7/YiTeezv944B9S4moAe/XVVn/Ri1687bbbbrTxhmutvcZqq63yrGc+a6VnrfjMVZ65yuorP3vNNdbfcP2tttrqxS9+8cYbb+KnuRJ04aKFU5NTKUFlmyZSmDIquSPD/MXnnfPRs9Zdcz2+aHFik5OTG26wwRGvP9wy2gEZ1F333nXbHbdJRBpkM6sHM6IigfZ6a6+72UabbL7RpptttNmmG222+Sabb7HpFltutsVWm2+1zeZbb7PFNs/Z8jnP2eo5/7XVfw3rf231XHDbbbbdYYcdeHh2oqyaUI1KE6KIRHbHkHoTXmHVoIbxSovNXSL/9mXevMWXWBxYbPHFQiyxxDx+lpg3H5wPYLLkfH6WXGrJJZdcKrD0kksu2XVdPzWemuLqaZ+3TE6H4yNDb240jkQFb7K19JZttNRRONQAyq2LVHIFJVb8VAKaPZFinxuPKTLHShz0hS8ZKmeS+64GdXOFhhtCxBQmwRAQIBYIcz9GyAWKVwM1ySq4UI3Ag8PLGg+0kDFAaCRwGu7wMGStoiRiYGmRIWLVuNICRVQNAtzhQHiswrZQ0RYhYAoXOi2CioAVgoVNiKByttgx7KxPXX6SxBZTB5ARuyGLSMFGENaobAUhzdUabEsKy+RNKPUMHK0UG6Fq+xABjmgIczdAtbzc/80xDoPvEBQ99nQPdvjA1KBpjGiJqHyNkdixriJUZVDh8aqCSPrKIgPNFNWTs1JTMSXLTqSS+RDkgIBiCMgpbCgSk/avQwlUBVNDbMgwXIOWFBFRQbEX0QhLUtamQhgZenL0w6YiEQokrPgFW1YIhLhjyMyKKBSUX82UoKWeZyQ6AdxwRWj0QoU+zh0vt5AqZGpALlEKtAuasLBwYoBxKU6UFwwzjbxqPNX3UzWeLNYau3jnmOrcT2hsj61x9eNqBLRqqudX7P24f+ihh2+7/VvX3XTddV+97vqv33DD166/4Ws33Pj1G2/4+g03ff3GG79x41e+eeNXbrnpq7fc9LVbvva1W7769Vu/9o1vff0bt3/j1jtvve3ub9153533/PCeH/zsBz//n5/9/cG/e1bNWXxCE9wOKS09pkx2iqV2K483qqcl1kgMZBfnWO7prsfceuKJJ6b6KQYwbzF+CzYeT/ZTi8aTixZNLRyzTE2OpyanxosmwX4Rho0dj6empsaTk1MNelwmYacQoO4b3Y+BfjyVtR+P+6kxNAvrgLgy6sVmz9l58xess9K6f/z9H99w+Ou/eds3J+ZMyKWUSY2m5KK10lhumHZ6yq1AUxsK+1g2ed9zyDO+xjHH2iwrgdVjGZZNpMEn8eB61EbTWQyWGqI1EFIyH6F47JlLow6xY6uOVQF82Czvt9+r7rr9zh/96Mc/+eFPfvKDn/z4+z/+0fd+9GMwxI9/9P0f//AHP/kR+MOf/OiHP/nh93/0/e//8Lvf/9F37/v+9+/7wdFvOXrxxZegI7qiMgJCsw44FMKLlM8pJPIgbSvDHNhyl8La1TTTC7626d50Iq268moXfOL8z19y5ZVB/uxz+WUXffrSCy+99LxLLj7noovPvvDicy58/7vfa6AF6JoXHwn4pnTBWRdccPaFF519wUVngRdeePaFF56V/5bv+R8775zTz3n5i15GBbw/Nj9RGKkHevVVVj/5/SctO3/Z6k13Ne5322W3vfbYuwW3M8uQv/39b3/2858akLJM+1ff5yifHAhElTk1UnB0CRlrE+aJqYU3ffMrl3/xyk+cf8Zb33P0i/d46dY7bHPQfx984SUX/uCHP1zw2GPWU9Do4q7jnvzHP//x05//9Ou3fP2M88547RGHbf/iHXZ/5Z7QP/7VT8bqO77hFI6U0csSV2nIya2ElJKIBiKlqtZ8HwcUMxZoXS6kjAAGosI1E0R0GZ6+oolX2TJMsByy3CcsAgJZ6vCDEdqEys0zzdq5u0vGcFAnD3ZasWECAAAQAElEQVR9uxUgMERHyr5pYKWcDiEjaJsCBGFIoZ5+4ZvyPCOb9kkJjaSBoHFNsmp20UZKVlEHhpEXRVb1jcQsLlQiBhkRkrYZgqIsd4q6FWBbDRAmioQATRX3opUfRCqzmnE1Mz31BmdhU10WqdgEONDogsMXK1ZoMCIjCIlwoGDok45yOtTReN4TsnPlmGgd274fps0AEKDirQtJ6FzF23natmaCkELGDm1HnRTZ9LTYhOSb1sKCxO1lXhLQ2CruxK/izmFpvBGIKJRbY2GRJ6z6NFYRCyoEm6rPDUdVERKQ0IQBJSoqjXvl8YggnlhDqU8C2xTuCT8xueD2u7+15757rr7Bmq9943//9Nc/ndJUdV1Ogy7JYgkmnmMoxY2qsnE/uvGZoLAgaEuMlGpQNUNzrALcdRNlhpiC1Ww52pFmrBtB+x7sqyASVBSf2tlJor6w6VgzcJ66zb2xHUnoGJ+i7g5FMUXc6DizFA8496zd1OR4zdXXxLzgMKDacf/lq7605TZb7LLXru878X0XXHLB567+wjVfvfaGr990/c03XvOVay//0hVnnHvmW45981bbbn3CyccXAfEiR1v5+zvfM3oGTvxifqnFA6iWXXrZU48/+fnbv6CfxK8fj1nVL6qjjjhq3bXWtmIsadasWRuut+H6661fluGfhkTq05RQWJ58YpI/wX33ru99707wvu/f9d377rj33tvvuedb99x921133nrnXbfeeect3/72zeDtrHd88447vnH7HV//1re+dtstX7tlh+ft0ClZnXiig2DVuNR3eW/OCEW+IKeMxZw5cz73+Svv+s7dgbvu+fZdd91153e+c9fd99x9773fufe+79x3zz33hbj73nvvue8e2Pwr/XvvvvOeu+/8zl13fHspfq82zieVPic51eU2GRK0ebnjTEVvkXN2giU3FrmPGUehswWXm3pceEnIqlydm0FfxguXdguk6kqL0riKx3Z13L6YG9fCqvoKuLhFaggFL8QqfoQYKQ6aeb2SDklDiddVZ6eergzbEAKUioAdGxiKa1odytVLbnaSHGMS0ocC1FDQ2fpKvw5ZRAoxGKsPNDN6Qy/1BEIMK2zGSnNMA10a6pOuegIioDnINgXqxxo5YhBNK2GswjekqEC9aZb4rdT2wGnaKuFfBsgm8oqmemaOho56REEXAYwKmRKPlAWhBiaAEkd97/wvsoxZ38e5VZSahXdLKXQJXmkAm4Fuq7h5C0gpVWSzQrriYvHUgaLG9B3vcFSBJBT2qSpkk0CYIMSDSs0xrSJamgnTiufZZW5d6EIW7bSHErBDFt9EVrXfYxAzxrFMfEUdZtCSWozC1XPPEoHHKqKEFEAKEMJsIGFhmmUS0W3RmJXRaXo47KGIIhEQ7FtViqSIMFRFQlSw6rNz604T1IvAQOcEkCDpuMwyKgBxRG6jkDvxaYzPwWh6DSWpH/Os7P/8lz+9/7j3H3DQQQcf/JqDDznkkNe85uDXHnLgaw466LUHH3DYgQe97uADX3fIAYcd1PDAAw498IDXHvjq1+z/qkNe/YoD991r/71322/Pl+29ywt3e+H2L9lho202Xn/Ljf77qNd/98f3PlFP1EjpiskxFY/M7wu70VCp2Yoe2TOW3rRWjBVeKQohMgd4y3Oboyh8LG5BJte7b00Yh87qbJZRZ35GnUDJRkec+AqgDMsjx6bDQaRk2gwEpVo0CFsMHdUsT2y02gYHv+zgdZ+1/n/+/cjhhx/5jW9+M7FikRPCsfDq5T43sfue8IWGoAQJFZPqjZltCakQtcrjNZLtETGEiyjB0PGTq4bJjVBJxGc2VUyG+5XCMULabnukyMgdwhRuxkp/XejmLQY3Tdx3772nnHLyce9///ve/773Hv/+959w3HEfOO74Dxx33AnvDx7//uOOf//7j3//cccFTzjh+A984PiTPnDCiSd94OSTT/zgaaf+/W9/bYF6KX3SUmOnF0Rj0StsoYLtRaEgBWRyrThTmzvLjl0CCSrFq5Ntee7EnBfu8MJdXrQrf6jc/SW77f7SPfZ8+Z777LbPvnvt96p9Xs1fOPff74B99t53YtYcehzhofjxa0r+VnnQfgfsv/f+++99wP77HHDgPvsf8ArwwANeccCB+x54wH4Hrbf2BhzHnLlzlbzThdnd6is/+8T3nLT5hpshR0MNqXiyzvjYGSut+KyOci3KXn65FU86/sQ999xTnQPpKZ0KqGrHytr3PBplJQQHaTMryzYRuk7/+vcDb33H0W84+vD3nXTcRZdedNc9d/7l739+9JFHxpNTWBJ4outGGGPedbCdCCJLneyQWjQ59cijj/ztf/9267dvPe7U43d++c5vPuYtCxYtcGcB7oQZzXETsRZeasDbsagFmQtTDpGEUt9TaQx6bj9zatM9pKN+5gA7dGmXYKXQRMG07/sCjEQxZWk1NC2C7MX9mPCqjkdc77xn1XDrxrZzSW3pq+dGh3PTSjRgTQOJDZBTelJIF+pgW2SRXE1fQwoipbkiWk+RM8jHKEwxiW2VPOY5GCX1klGtl47O1VOOwxamWMhmVFyYFdkKQc5ahqoIMO5NMzHGiUKhIEgInSoUbWMzDbQSmgQc6LamEiUeQaFD4St1oXLFHoUxijsklnx6Z4WOmKRVFqgI24IAOr5E64kDUnqCEBovR8ddJ4gmVSYMh04aorEjjAHhmpyq8JvW9skoMZIQbvMiB/YWyREyRIsdG0I6p8MuoLcJ6JgxpdCYsSEpksAoHJZqhZUMjYi1yKCiIWFqAJkQukimkmPKMUKYN4GuG02MJmZPPPjwg9/89s1HHfPmg1570LfuuO3xxx+76rqr9nnVPseffNz3fnzf5Hiym+hwrWrhEp5wA0drzDqhlW45OGPFfZPJ8pghWTNECDIhrDHqNeYOgSasckXJc1N5mTA9WNEdW6scQ0hJ5JXNziQ8qEQ9LrmPTkpYk1xo4RRIBRYukjHoZAAXdvXj8d577s0frSQsCFSKuHvwP/++9Vu3fuKcM459zztff+TrDzns4AMO2X//A/Y/+JCDDz/yje897j2f/NQlP//Fz1saC6Ar1XLLLPeCHZ6/7NLL8SouHgu0gooKY+f11l7/hHcev98er+zK/bivJMxIpqb6JZdY8og3HLnEYotR3KrPWuXww95w6UWf2nLzrRwbtQSaBsPiZYm1xlP9oscnFz668IlHFy58bNHCRxYufAx20cJHFy16dNHCxyefQA792CBZuAhiwMcX1bhG5s2VrolGPJA7KDQDEpctK+VDZA+zaNGifffdZ7PNN998yy223GrzbbbZeuvnbLXl1lvzd7TNt9x88602429qm22x2aZbbrrp5puAm2252aZbINx8iy35e9vmZ5x5RnXtrJh0pYVqR6WWqas+e1QZmabBcgeZtwKLvikJAa8PAUiEg6rri6MntiEksliioWjHhu7C8SGigyEzkhBEQm5CWCayHFAZJkEqt1/jOgE56FhhDyKAqZgKlruwSRSJFbappGwRYh1MqIow3ZeA4gGOYKirS1Eiu22l4T59UPfAhVEALSgSdTJQ4qFt446JLUNCxRFGRCJXb7VJWrLQWkIqkU5mY2mbMFcOC86i+I5RQIgsjrF6hMKcAGbo9ILaEUKK3QQ2KiKIImELSTRiLzkSfCRIRAS0LGyrY+1k9/jblScD9tVzzNSFDSgVrXUxSzJHZFuWHCgqNmRYQcB2jZaovyexiV8QsoMctdGBRWQkZZIKIkiBippbyHYnh6GGyLn6mhEQ0Da+YO9pq/Lg0NIxOkmeQUk2HMH6tsGUe5kfnqaFvFngGxox9wnFygEZZd+ZvTN1ZT7WAGGh3G4JhKCG1ohL2BJTKKlPXqsTPJc56mJxY1WkKcjc/JGWgBAq9TzMLYopqoOYRrYq1IYQx9b3NTXO73Bmj2av+oxV115x7bVWXGed5ddZe4V1INZead21VlpvnZXWGXDdZ6677jPXewqfBb3Ous9clz/7rL0SjmutucJaqz9j9RWWXOGxhx/90jVX77bPHke/4+if/PInZaXVTtwUNFP0M7JG5vaBlNVTtdRVYZn5ssn2yHQbWTzhJYYoBIUn1dNIUGJq1boXWg2WoSQ+TxBYCahAJTmmDUs8raxmSe4eChsigdCjbtR1E7NnzVlnlXUPfvkhG6yywb8eeOC9x7/35m99c8yvWEejIhXohHDhGobNAXjDJ7NDqHNTicYRIpNTF7lov9DSFPdn18kAtsWGlkqIBS/sO7szFhHaEVI9+0DnaFW8ixVnKgeq8MJG0zFw/MOffn/j179y7Q3XXXfj9dffcN11N1x/3Q3XXXvDtdfdcO01wWuuvu5q8MvXfhn80jVf+vI1X/rS1cEvXvVF5P956GHJolRnpxyOp5FinUlTEK2cCCVRsxvZpmwkGLCCMOA0i1+jch5T/XhqzC9Ax5PFOsWHnkXjqSf6qSfG40VjYDQxa+SRmAdN0liVgV6TC3v+7AmOIRb140kQF9apfjzmnmAYc+bMIXVDz5k1Z7vnbP/BEz6424t3m+VZdkcY5V5zP65ll1rmnW9/x+KLLYHL9ttu9/krruSXEK6OxjUNOXxaSI9slh0SZdGL2SXzA9PQHo34vTYzAcsCWBNEFrk7deASi81/zjb/9bKX7LL5Zlvxy2JKYp7xd0Ezfs0A8tmzZ6255hrz5s3nFdPhLSJxmc0CKCSupb64H1yqdg6omZuL24+v9fjyIhSPOMm8NCgFJ1ska4uMgqtiyd581WFnvHpLsYi24pI0hRDM01kAbDMTx9ACo0PcI6cK446UpERWsVNoSIRYgeaKUTZBKBpyqWR6yyocLAJKdntNGS+CGegi5BIFlTTUEjU6WKlE1ZI6Q1v8GI75sBIVQaktPK2igVa06BoKMFMsCmgxiShoNUg7Nj7FquxjvBg1tWPVhALSkahkrIqRxJrLoqrCBTmIGYgscgOYRVsl9bKJED29imlWhTG6cJ1Qu4x3x9UQAr6EHcaI4AYTITNiDZCzcpQsbJL5EYwaoW56R2GpsWxUnBUd22AMIdnOZUAWxYHZBzJZq0kii41iFaIiRzXwamCsjKDkgByp2QbjrE3SaTRr9OCj/77qpqvf84H3HfnmN11/440LFixa6Rkrb7HB1svOX+5fD/7n4k9fcuRbjzz5w6feee9dkzXpkfHMC8c5AZjK+IrThm5loCwJNVwIoQClEMIapou6nFcZH32M2bQ2Q0vE6KXBg3c2xYLAktC4U/6PcLpGS9w6Fsn6dtQ5FjhZsRRJbKO1hzRIUHeDRO7cQXuzjTd719veyV+3bIwx6IvbsXjrrCwIGnoICk1BhQm3rjIIwiGUl5q/9JGvf9Neu+7dKWGxT4JuZHXPXOFZh7z6kI+c+GF++zVn1lyVTHYsJLUQLr9w5xdt99ztX7Tziz72oY+d8oFTV3rGM/lN9QgzonV21wXtLV7SBwAAEABJREFUUTfK06fdz2SmkJCUTNBq0CNu2Fff894KjRwrVx8iKXOZ14i6bizxd56x+Kys8gwWXs0oMzFuCDiMYNXk1AyMxzNU9smpyUWTwcnJtk5NAnw3WzS5aOHkwoWTTyycXPjIo4/aTIi4JFPxowDDMDkgKYLVT9vI7xLm3AbDUcbbsYJlH7Dxkk18DSLoODosBLvb9BQwbKlj9QyLHQaNQw4nuUG1eQhwM25lQ9mWkartrebGRoQMaQ0PWckyUVghc2wRCAMDAhhFYUKbLVcz7DEwlAOSNYAFr6xyVp7A1TSWuojCuabnoEjc1rxeLFK0SiXZsFwKsJu2I0EBeoDoBCsgEhmChc1cLRY7qOJAJAfoBwkPX4uEEqvQGsIstNpQrVs1iVDY7pDlzLPhyrDSTydoLrPFGu+uEwJJyBSZaRBOAxQijBVtn0UICoILeSfbzAskPijAhEVqKqWwgkUoWeGohD3IK4INH1C4CHCM2kLk8ArzdGFoyflxc5TEg7AnjQA7VRXqIALJgU4KoQbFymhZpRbECkTM9J/USO5wompxtWla+QmH6ClE6LIRWGzVolqh1aAJZbFzdwQROxcSXFXQSRYZtzujNnUUT1HxyOEhxLSKrR/3kpdd8hmv2GnfQ3d53Wte/tpDXv7ag1926CEvPfSQlxz62pcceuhL/vuwl/73YVlff9hLXxf6Za8/7GX/Db7uZW847GWvf93LG/tS1tcf+rL/PuQlr3n1C/d//hYvWHqxZa6/4fpj333Mzbd/sx/1Ho0a8sw090hnQamVJ3UCeNqVOE4wEp5rYVMnharcamdUBUF7KHBqPDq4oAnA3pewaGoMmB78NHqQoq7EacnwQDpoGNNAIIzSo84Taz1z7UN3PXSLtbf47f/8n5M/ePItt9/aTcjcjwnDLlk2q5UflqGlQYKobAswqmLhSmFyoIbnX1YGgRZVW6N8ihZ9SFmqlACUKnqQUsU0QZDi9kXF/DQAQxFvLPHCEWN5UAzrtACZZbDLKosjgs0qwVqAbRkQd7I0d87cpeYvteS8+UsuMX/+EvPmL/4kLgE9b/F58xYDl1hi7uKLzV1ssTng3MX4ksNkCQUmiCUwV6utLRItYRWGqjlT03bagJvBbtQBxjaIVLI7cNo3/lyi80jwbkrawmrxOXM7j5aev/Tztt72XUe/6xOnfWyXF718YjRSh9jdiHdDGZCmFk3tusuue+2254H7H3z2medsu/W240VTGfZMcWrAEHMkoh5QXYT4D3uVIxSNYGCbSmLAhR9rEItKl549e+5ztnnue975nnPPOu+SCy85/+zzP3LaR9725re/6PkvXmnFlUaeqJY6PjPXkvOX2mbrbUyfRJFpwhaoFlBmD/fkJQMI2QU4uyGm90bCYmSCgoqILhwCmSV3oQVws0kGJFnsCNhDcYm2py+qKchpdSjMGkI3U2J27gzLZRmCppTMqQIW0TRavACVgBDRGrVYoFkHakjuaZEgosIwlOHbPr3YjkZYsycpGxE6NnKhNTorS2NClFAJoQKDq+HpUmyahmq7y+yhuUC4QQQhrIk6dKQYdkiC3MbYIsIKghWEQNeIKhtCUu/IWMw9ImhJxWa7g2pCjCElZBhKnawGA0EH1VgWFASC4M6NEF6ycZHUGEmm/2naFYLnD8ahVMNTiLLUcgopuoEu2XJTtMIaJZrhPoHWkAaqmbmZakaHWUnTMjY3mlWAETA0qMRwA3LGAdlo1gRfWK772nVvfttR7zvuvdded80jDz268vKrvvaVhx1/9EnHvv7dJxx9yl4v2XfJJZb93R/+eMHF5x/9zqPfdfx7fvLLn2pC7RtXEQgkIokqufImqumPfAhskwdkbxQyzCKoLJyJMioYOgcRslKyNT3NqPCOopCZr3RCKRjyVlRhlRdLhwRl5YwFEAczDhLaHklR2FnbhzHs26uMANXNnZi7/377n3vGea/c91U8pnFMJe0YcCQyVk52NJIFlETDik1GwdvAS1/0sss++ek3vf6IZZZc2qVkcjd/8fm7vniXU95/yqXnXfqBd35gu//aYWI0yzycRiONLIPqxIGa22TllVY+5fiTP/GRT+z60t1Gosy02AUmRp41gjDXaKKbIL4a5N6qceEs9X0+JDRJVYXhM4D5qlWCqD71lsX4qLp5l8hcURYEUx/x3XdUCrCazuJkyxKr/n8Bj/8f/VPajk4IRrrBvAjdk0DDROEao2pGwxHGkqYdmYS+JNC2gh2yogVBCA/DiNuig5GUDTOIgsPRkaeAimUhURlVUzsnbbRIHMPKIiA2ZgElLKiBZMxaJWjFmouZJW4TIp9BCwPN2FGtaZjc/DZsMCVls3jK8KkwTgZ88EedNRsHpOaSqGoVRZzz7SRB4wYKeHJDajOcdGGrbBPYEihmFQKhFAH1ieAFbQiwWlKIIHbTKgxbtVgVmnZHZo8QWUcAWEUXEhFhQ7EREZ5bdVDDxgwRQVFDWK3IpiciLBbRlpywubDI1mxC5PalMXHFBrdpY3ouwqqMMxQWoYdwWIfhsmYgGhXGkjsF8iojBJWGi4ZgmMDhZtniYsGIY2UaFQH27DI/OaM2SqMQ9rz0uB+I4YLDDzkUHDReVA2BZaqxYFkcUXwwRqTmaVlAW8jYOAsVPgSSzOnLzRUGaRgjENBD8BhXZBJrh8BdbowQdtfJ/CjFOQZGhIoBiw3MDKMQbuwtZxauvuer9+yJ2c9c9lmrLv/slZdd7VnLrLoyuNyqKy+3+irLrrrKsqutvEyEz1p61YarrAyxzLCuusoyq6227OrPXn7NNVZYa60V117/WRtuufZzXrjlS179ov2PevWbN1ljs1/+4pcnf+jk7/7wvtHsEckZPRV2VnuY9kWrpgiw3RxFyZkmc++BKr4K5rlZPQBXhaUAy6xwQVXPpqhiABcalvBYCaVlsEhfImekXChYZ7BC9IzKwoZvfjyg22+W7a6bWG2FNfZ/6UGbr73FL3/xq/ce/56bb795Ys4oTwrqJ2IniRRSWwkFQnOkrTERM7SwCekQXVau0ALQpdYUb1gwkmiLqtpciFHoHCH6YFdZFXFMCh/q6aHN20yzpDhjhCEIoekt5HAhAIne2GqvpiZoBVlucnUEF4cjIsybO//Ytxzzpc9/8cuf//JVn7/qqs9dfdXnv3z156666vNXffkL0Fdf/YWrwLCfu+pLV37py1d+kfVjH/p45es9B9VXP04gYrVNaXI6qQBykTbIhRGnVRRWfR9qXOascIRBib3EG9loNGqk1NxtywLcsRmAJfcG627wybMuuPyiy87+8FlvfsOb13722qjT3sjGYnohAWOsZyz7jOPe9/7j3v3+NVZZY5w/qfW00AMZTkqy8KGIyqZpwFNtVCrHMGIMs3XOiWAwOFiw4pPEaquu9upXHXDBuRecc+Y5R77+8LVXX2vuaO56a6y7926vePfb3nXG6WdccfHlZ3z4E/vv+6o1V19j1M10Ki279DKbbbxp9dXJgGTZapDkdmMsd8jY0PZQDV32NJHNKcYU1qnLtDEV+rSpQMEItSJlCcs2cFIRrAhRghYnqrYjD1EEVjPllRPLZgbRhEZjzInBaYESEg1DHEh4LIiWVWpEJWrRmnl5xyD52ZtaQpoF29ilInxtTR9KKlDBKeDpBT0OyKOgaCsSLhAyvpZANRhe4zMe0TZxFprBX8122v7JbFUSCtaExR2DXg2oFTEGhcGMtlDRY2EWCgeOPByCAhQaexRtHOyN0zDC4lziV21YBAMlFhC5eCbH3A0QTHdFcAkZi6bBPB0lFBwj9zapuZkNDxO5beVzbsVGuY2KRMzBAKQCbsqBgkTcF4dO5Wp9RPPUVYQRZgLIJwKBbJRt5b4WUCIMszOFOPVz30LyJC/YbjSamLP4nB/+7Id7vGqvI976pq/f8s0H/vngHC+2zy6vPPPU8w7e67CN1tx01RVW33StLQ7f/6jT3/Px7bbYadTP+t3v/3DF56/Y78B9jzvluAVTT0zM4QsDCcjNW2e5F1RLrGo9pbzIZJqmHjaQO4/uBMQDzRiJ+XDfKS3zGLeJSpnosLQ7flg7GLQEAqHlYRTELNIi7A2w0ylCpwxikwlTqc9JCJ1iEmnZcoDUFFuLzVps++dsf97Hz/3hPT84+fiTnvucbZdYYj6GZRbjxW48EoCUkgXMnj1380224G9it37tls9+6vIX7fjCeXPntTdscpkal15ymTcc+oYjDjti26225QmFk1tHkg0mMBFNx5zSyN36666/+sqr82wthlq0puWWWW69tdddd81111ltnXVWX3vt1dZ65vIr9fl6lbJLHucFQCqJW6DJqsbZjcT5N1QqCcbCUgH4GBC+6K8bifna7PwSKwGxRC4xtT7/yHDOxNy5s+bOnjWHde6sOXNmzZ47azbrNE7MnjMxe/bELD5CNZzTViRzZo8azTqaPaebPXdi9uzR7MXnLCY6tmWpM1gtG5Qicm9JZbtCKMTTLNBJTaFpyE2uQsa9yF2CDoSVuC9jUwqXlhVwOHUSkbkkFtcgwLSc16CkslkVrSRoXFSd3Clg2e1yOKltLhNoKL0JJMMJGk1agzVZ2MQFcvLw2ElMozgVUssRWOhZZGlISpBqMnjrSUMJIRwiCBBBYyGDkiyb1bICLWUI9/mgVOblgoGLGgRd2JWms3RoBCfbalNtDKxwbBUjV4PWnMxP2NhbxAvBHi0bt6IAVz56owKVY+fOQ5zgUgvLVqRACGVh54GW+QFrMFbbseyRYdpZaufEjlTAtKFikCPBimrAPJwx09Asxy+A0oaYVpMTnzlRFG5VndpRYleJzq3lnvjFhYwMNBMhjLk0kk1vXKJPNBjiGF0YC2UnOcAGWoIVgKnhWmw3Gfc5cjnLzEUfIcnLFhcpM4DBOZhu0DJVcpG7acwaLJ4TOE2HzOveMbFMeY6mMyAuj9x1crxkns+dhw0ShREFLfLhaMZZRGkos3ENpqPRaNas2bMmeHJMzJqYNSvXbEQjJDxRUIETs0cTKOZOzJozC4g59nNm8weLxfi1WHDxuUssv9QKm66x2eH7HrnNBs/53W9/9873vnPBose7iREfKLvUyse4rm8DpBZLHc1xhq1G5MVLoK9+qsZTbHzhoWmQDqq1yfsH94jKknrRBUElMUpWkyDGorfqSWI7OpHAQKwSppEC0CayC4nV7kSomEjmRunMHEcerbrc6q968as3XH3j3//+D699w2E3f+vmicVmeaKz8RKL3JlMhraAYtbURyTTg4TQJQcwIycVSwi4DTjiQmhBU4hCFBJkSDC0nJ41DXTokC42GDoloLlgjGNf43HVqBstOW+pJZdYasnFQf7KNG/+4ksuufiS8xZbYv5i8+e1vzst2VZ+Cxl5/ltK/JFq/hL8VWpx/jy1xJJLzFtq3lJLL7Xscks9Y/llVpgYTagfM9ZRdeussQ5/53nec573vAlV9NYAABAASURBVOdut922222/7Y7bP2/77UNAb7/df22/3XO2Y93hudvvtO2OOz9vR9atN91iPDlFlXS0+MScpZZYCpy/xJLzllhq3uJLzR7NSR9ymrLsEQuWYAipY8B2D4ynsDQTqDFLp87WxGg0azSLqdncAwZy1i5uLzHXzrFq/xuZZZZa7hW77bPjtjvyLWv2aLbIKIKZ+UHjoQBBqtq7wYrPeObSSyzd518kTg1v5p0INpInRu4sd/ymnMTx4iKMLbpMfiVy5/wrPSRgzZqYWPWZq6y31npbb77Vbi/d/S2Hv/n8j5/77Vu//Z3b7z77I2fuuesea6y2hvlb8KIiVz/VjxdxjrNWWfFZW2+61UH77X/Wh8+44xu333bTzSe863g+xswZzdlwvQ1XXH7FqupGYkTkBmVTgwLcDpJpcpgrq50aFbCispAoUBBpSTWKLL4GZJS56KuDFLdl2zkcWJJjyQ1fzRAJe7E5O0RHXHMhCjZLoSNcLyUaISyZJ5yQ4GLikxlUAOWQa7oRZC6qIGqTFL5WftCIQYs4huYiBtEgZAflJje7FW8qsw1LTgJJ6jo4S03KLiVkTrQddCtxKFnVOaB4YAbGjC1YWdqFdVeJB8f4s/bF+nR0VXI5ZsQkJ9qyWXNRAltNexnQoMQ+TFMiicFgFYoo1StfjPJONVSJJTHRMkEIkNoYWLwodFqKPgJ5mndz66ttqr5XEsdTPV5wSgxRVaMLvy7jwSwvw2aDFsyIwrb4CnRZVJUkJB44mR+E3DAaV8RlNFAgYVq6xIGIJc69++pkbIMxd7lfOH7iJ7/6yaFHHPaS3V965913PrFg0ZKLL/38573kkjM/86bXHL3cYs/wVBc7Srdne85az1r3pLefduq7PrzhGhvPmVjsgQf/dc5F52y89cbnX3zuvx76V2ncm/CdabzV05uXeP5tacSpBFrcza4sEnrsTds5CGWhTqc1phiVgWJg06rqEYqr8HWPIUFaW+QbXBh8J247oY6+irXIwW2kJA87GCiREJvRVGqOrZDSNGRfE55YdYXVjnnzMbd/4/Y///b+n3z/J1+74WtfuPwLF5938dmfOOuMj37irI+ddeE5F1552We/ev1Xf/TdH/31D3+59457TnzfiZttsNnsbs64V88tMCSzicwyMZo9MRo5A7BHnSkWWq0nCSNzCbkzpCrup77vK413U5PjnXfa6c5bvv2D7/zwB/d8/4f3/OBH3/nhV6/96qLHFmJCycx3pE6SKxF75xXbERFM7AhLGFTZvUk+soutC5in+fve+Z4brr7hpmtuuumqG2+8+obPX/75l7/oZTxwh/jqtc6z177+S9f85Td/+utv7v/z//zxL/9z/19+8+c///rPf/n1/X9h/eVf7v/V/ff/6k8N/3j/r8A//PnXsBB//POvwD/d/+vQf/z1n/74y/v/+Ks/vuvt76E7UwyFemieBih1mEkPBc8kqjSWc4fEShCFKFacbxrunReUOEFxrCjpkfvB6IqjaF7F7QWBF6c80OKTJU4SY253B5G76tUStxW6RRTSQot1idxP7hlps4w2KUUOBKTJirrx2OOG0Gap3o64hcqCI0XLnXEnPLLOjhOllbgVUMdRpEFM+SoCEg2pcBJQtMhGXpRos7LZLVLsm3E1qi1o8emZWV92zFz84DjkU6Xn0O1DWx8q4fnNMKPjAVq4uoViFeEJjoEdP4iqgQiJujhwRmqN8XGvciWpxOMilXfYi4ELaFr2mMQIywqYLIg1feJSeFudiSyAHNgMIyU7dCxypV0MQAKJe7r5ioSFmk9DViT0BIsYNgIbIsIm5WBg1SDCfDLg4EweZBw4a5CQZAHV4tOwGiBpcZ6sPy4tIh1EyZQ5cdxjXoyoGMXQG2op1VT7qMdIUq9SJBdhY51C+i5Jo0DYzpYMLUav3r0JUuqZR9wwwdLVWiCF4dQW9emOUKRxzIxN0wxcyXBd59Go6ya43I2C+QTYLNQZIFFCko7orLl9O6GTkVepxn1xbNhVCmpC/FGkEd40Y4itiye2R5270WhiNBqxjTwykm7UCey6Cc1aYd4zX/GCfdd85lq//NWvTjv9tNEITymVlzp33YgcwQxrrIxBokGK4GHH+2rKwIUKWfGjgxAYQbFibOrQk3OprsMAN4wl9c79QCe0Cgv2XFInO0R8+1KEtmfuAyS4ZBilkuWuw0HySBNrLL/WAS85cN2V13vskUcOf+uRX7v5axwiYbi9BeAkmoHCjxXezbc3nChj+glS0YhJQBS3Vbw4jPjyemG6mEKw4mdZtFgEsXkfLsxK6hiShIK4CtDHGLaqmB2nOO7HteWmW373jnv+9Kvf/+FXv//9L/PYv/9Xf/jTr//w5//50/3/84c//+aPf/7Nn/7E+j/33w/xP7D33/9r8E9/+c2fmupPf/zVH/74y9//4Ze/++Ovfv/tW+9Y89nPTlV99eO+X1T9QvVkG7N6PKV+yv2UxpM1lf+VVN9PlvuqsXlOxaznXqI5Sx4vnHrH2971+5//7vc/+/3vf/773//st7//+W9PPv6UqUl6yNBoVUNn9ItfZxbJ/HTqXF56/lJHvP7II1//piPf8Kaj3vjmt7zhra96xf7LL7c8jsaKcTL6EKPKnRZXoWDnt8lWTpU4ndRV7tsOZeXE0145g1T1o+o799ZUFchopfHU+NkrP/sLn/7C7372f37709/8z09/+39+/ruf/eDn6665HlElSxynRAjiZuewwJ5R0Dwxll1m2W/fdsePvveTO79155c+98UPnXzaIQcevOn6m86fO29CEx7G1fc9prmXJeWxXOI5z604wQebebPnbb7B5se++ZhbbrqZ0X3oxA8yXrL26ii2GFXRAI7qcEtXFisBiYU4sQUHsqECQ6OKmWBFgCqaEFBIuNpLpbDgYwCRodCpc1S2w8QwhXe4MgICFYHQ9M0qviTqCkkEhMhGwVilRsrp3KPFk3TYxjTBpI7g2OCjvBgwKhzNblJZ2AsH4Rob9qRDpMocUQ08CsWAWJDI+FaJoFJJsySixHOAqFKT4AtFNpkqml6pmKSSnKFTZ7JwygrEVmRBLHHuCsQ3tqHjWh1rIg5WpEDTaFyrLLfXO/IiXkWDLJs4glZUdE8jJNtqWjRECaPOZsevN3EgsUg0eqe2gRe31zAC7JQ2HEWGIvWmN6xxaskwaTuNsVMcAcE4UABWMA27cm/KaNjUiOOtnBJpYKFU0blvgrgXeQthq0GlqGtEpNjbYRMhAsxIgZxiWJttX8TCvdSNvHDqie/++HsnffikVx6835ev/fLUeLziss960bYvfe9RJxz7+nctt/gKix7jtyjiRTE1rjFY6knYu57Qluts88F3fuQNrz5yyw22mT93/r8fevD9Jx23/2v3v/Kqz/3l7/d3s62uIy/1dPESOXGVkJWNGIwQRgCc0XG5OgyLBkCRUHnZ9FIxqhK6abJgECEHoftqOtV0Xszc5wERAmPOI3kHI+Jw4ESVgSozFknuiqwcODeGAkVQRjbu+cP9ogWTsz177VXX3um5O+3x8t0PfOWBhx3832947Rtff8gbDn7Va/beZe8d/mvHtVZda7ZmL3x00eSCqZ6nfKnriUNQikzvNElMepEsybbI1dGz7Q5RUYHYlbLtTnjEXfnMor6vcV+TC8cLH1u48PEnFi6YzH8DY8GiyUWTYxRFsiqil6SOXeK0eJfhbS+cJWIZLYJszMf0J5GlyNzLxFlvnQ2ev/1O/AqQXwfusM32/OJqhWVX6Cd785aWFKrieTx79mjurNGcOZ47y3NmeTY44dkTmjXqZs3qZs/q5szp5syOag6PZrRzR4vNGc2dPQo7txFzJ+bOmZiDUGNuYo9GnbsMga2oVIGyobnC2Ayko0U6KTHTshhc04ZCxEn2MZWljsXl1Iw1PYJjqndBFL5EGNhiPIRlcwbHlKIV9xK2Aoow2JiIGJhXFjGMUaFUEgkGP0oQ92DsII2Dzb3Z5UbAtorUko0pDqFm8lqBJsSTBwusXUncMisGXYcUNVGMKb5QwapIUWJVmBYkSB7WaUwwyKhMZMUsRBFJjeCmMU2jKYIiLg1AVOU/FWArJ6ROkZCS14ygC/NgwVCtWvjGEHwwbQOy3MsSl7lUSjgjFICIG7YSgIVXPrKS6TQiMQqV4Bke5zacK4aNoLkYZSLFt79CWJhWQShNRescnPU0IHa4opVgokl9bIfLWJMOuRJNQDGX1IEZSrXEJoD7HkcQm9jGrO1qZm1kmKn54tBLtNaiKRYoWocFV+6iRZQC0qwaOEFLim8TsFAABsJLFetCD1dUlvNMQYR3yzVMQ9BcuZNxNiT5SrhXFd26rw6hkYgxWBa2UJJsLpCwroEr7BBb7njpTnTdqOPrFveLOw+QvoQVJRGbE6ke4HnC2k8Vk+Tq+xpHXuP+8UWP/vZvv3ngkX+M+ZhsTdbCvz38l7889Jep0aS4Pz1+4LF//OU/99eoH02Y037kiYcX9YtGEyNSy5gkLWVJWm3FNXbYcqd5c5a4/PLPPPCvB1AgpEmKVyxot1R9kztz5bZDXlwilOkqO6QGiISrMaYxQw3WJXeMRbLdKWBFgwXnFV4MIBINUNnQtr1VU1QmvDR79pyRedTxzvPEaFY3mgBHExPdrNHsDVbb6HV7vH7DVTf85z/+8f4PHPfVb351qqb4HlZVuMoEBAnNGgYKDeGJXc7RY9mj5EAqm/GhYFDmuVOieBda0HiLU4GUKCyuOBU0ETkLhkf0mCWyqnrFthDmPcv9ZGlsj7tuPBqNJ7p+1OjOUyOwQzIeeTxCqymEnabshppULZIXWZNdTVqL3C9Sv7AvfjtDF5KTVCSjvJoaa6oPMR5XXzVWjrKi7fteKcY1XSBCWR3Y9ZQ4GrkbiftoYqIm8mVedoeS6JyuyBI2l4Rccvuh+3lz5x137PtOO+G000449ZTjTznlhNPecOgbl1pq6ehHIltefm1mXRUB3HwTVOp6wzkRuy5rlQKsoTLVoQPMeY2STVBYWG4N1hJz5y09b9llwCWXWWbeMsvMX3bETWBilZXsxJCKPBDOJYlqpLHGk7XoianJJxZN8uHhiakpPj5Mqab6frKqFx8lchGGasRlMQUuKjN6J45GfW/+3jW5YHL+EvNXWn6lfmqMBzqJEku0hRf3MDhIWN1JsqpQSTC2myBpIKhTAxTQY8aGOUXI5tmBS4jiRV+lFokmy2H6GlzdAvNOohgQGXkrAhIJUiLhCtuSR9AnoABsGXyHYtpUbjRyoxA12EbYSiUxPkp6yoDELCtbbAazQi+uYjFmZZVxr+qJJsSKNAtXQ7QSZtWUIRSAiCVnCpekhINK482wLerwRjkwJILADowpV25LNiI5Y6EMLBAUg05rkCnKch7MKYEgqb8cFVZopAiJEQKveCgwxJLIEpargF7YYxMtV0NLytVnrgJyuCIWCNdWUlYjEDSJbPBLAAAQAElEQVQndjUbAaYGJwS0uLdgG1UzsnBkZUNiKGLgbcNKbUlSpDSvgGW7EQRp8ZoSWZAIKEEVOiTZ2fJ+KeIz+WFmcaqu81jje35wzykfPeWIo4+88FMX/eOfDyw7/xm77rzHW197zFEHvWWLtbeqPNf6qUXjqUW8DsHJ8eTk1NR4PDXVj8f9uHi2L+YlXva83Y4+5JjX7Xf4Futv4+q+96Pvv+cD73n7u9/26SsvfeChBybmzFLHQyaHJDrJbZkCGbyQqVpplm2pkxGqQe6kaRnCiIw9XRiajTZcGLgTXo2AdYOcvTHoBcQeGkpyGLYUwqaBRWt8y0MBlBjk6I0dG3PjzqJiboepGi/qp54YL1wwtQh8fBHfRYf/pt8i6AWTkzyzMJjsM58eHzxdPWvuVuIh4kUxzShAUfQA1c6NnJAYslJeMw+HFaMStSAqIvfVj/vKn8wIrmGQSkeuAEKS0BpEEwsgD5ISwTQssmyukjJeCyDdeDyenEqni/phnVrIBx6yqJSTCdUC41c4MjCGDRZS0y91iq7HFIkEc1NNnPtK8diX+p7cfKmNNjXwaOvsUQe4M1ERigsyyCVZQiGguAQfSUsBAQ4iiDYtTYNjaLOByruR0RhgU5SSwrUzgFSDGBHbqMTFruHiTkEghY1EGqpqp0ccUEAeYphQqtXREoQAT7tAooWxsmcdLIphYcS8WsAKrWmgQuSKg5DjxAMtRIVEm00Sm2VbUi4B2bkaRkEaaDXSrYHiYCyBCrBnjJbNxTnFyC1RlpKnrdTywtksgxAiBmxoEdmW2atYQiSeEMKWyANZtFaSOzkWLCYyAkkRCLBsNomJ5lYJjQQkoAM5nValLYEyILRSOErPJoTTSNcKWBaIL3sI2bLiOdQHCYPElOWoLPF6jhbOXJSFlSXSpJVcoZEYM3RBC8bousYRLftwmXLQVu/qIwmNJfHCNcecQ00LKkNziZBcatbTiUoyhbCyNbQMxLOIYQFhQpQHLz70oUIBC0KjDVHsLVpqjjFv50PhMNzdJnZnj+zOnQzpBsLZLR7eBcFLSuw8Hyg9mEcCXM8jg3TRaez60z/+dNmNl377h7dPjhdW9f957D833nXDdd++ekG/gM9EC6eeuPMHt3/p659f2C9w10/1kz/79U8f+H/Y+g8AK4vr/x9/n3nu3V2qXbGL2GNMj8YYTW+aYqKxCyiCGnvH3o0tlphoYhLFnphiQ0AUe+8FFBUVFFR6h929d87/deYuxM/3/5s9z8zpbeZ5bsNk3sxEqCRiAqaSQLJaqn15q6+su/r6SxYvffSxR1NFSu7OhwpCkorQVGQH0z12FCoeTd6Tq0HHxdKjhiAMC6Nnwik6QA8dhbAxwjtGLKVbuIysWAoTNn4A6zF0oWaGM19zjTVW779aZ3f3xA8mLWosSL2trW+trV9bW7/29j7tn9v8c4fuc9iWm2w5+Z3J51547n3j7ks1Nq+4cTFKCOFOhSdeiOkMDJqM/+hCERBKDMIi4DT3POHZb4Aki5JEZw21/wfcaBimOAQhJIfWYGJHWEtCRq8EO+O76LDG60B2XgKAJq8t7H0WSAYvAJKb7IS5UlaSkkeI6Gn48GSMmLiCKW4XF/uHDbNncggIGQUWiClHPuZWysCTRYItXpgjMVYaYQoJUwSHUM8wU/hhTlxGno3u3Ohq8u1nd2ej0dXN2yQSoHKXGYuFYUSgJWYyhhKTWaIsGLw/IqZJVi5T668sTBQVxYjhXEDyYNN4o0w+UtJbNVETJOIiFCVwFVcuwTPiRzdCACeqVEPe8MzPgE0PP02nHNGc7AIwkscUiVGT97iJxWVGcSqVyFIzR3AaqhhGMLOYglIWghYVvZMQBaxAJDjsVmRIp9BRDC862CEFoFQWVxlWBmjoe6gFzgqQt9SzZpkVCKbLVIaXGaIFsHEBlBwEqdZA3EKYCx5TiglGUfssLjjh5DMRxQiVEhA+WTDDMXcz4xBwDIAoPImZDHpmLOVospohYsWLg8NmDoAn0QGLmUkwQT3WSHPF0Yr2oiaFgBAuBy0AojIKEooqhyS8oRkOQxKXKf5CWi7FsBiBcHFKhEr4DnX1DJcZngpl4KgFhFrhSVTewkBIOXCjCwbiJW0H6zn4YILnMpMFwWxmzMRwrvDrgtMjTKwtW5Ae72CoMKPG00RhDgoDB4QUnAD5Sm4hTWJdyewRuxcupvQFFUDi7Ulbfcq0KedceM4xJx5z/Q3XT502rVdb312+/v2TRpw2ZPdhX916+zbr6O5ucu81M8OVvGmNhcvmLVg6t6HOVBN+ZcZtCVizWmeV9X/8zd2OGXLikYOP3WKjrZcv63zo0QlnX3D2oUeOuPOuf3bl5VVb+l8Gzn1nZiItMzoGlrnCJzw4ZnQDA+ZgEAmOJbPiw1M2A1VcPKVw44ZeFCtHAo5X2CAllGDCYRaKET4kcRUbvCoXAQHJwh1loepwXeX1OM6FOS8LOZ4oVM1XPuIBArgCwWtW8LN70z2eU0Li7pnVnCGRDbyeJbDCdbSDyAgAMgFQxi5mkYnITPgExJ1AMGz0meEoOcbO1GJ7lAvpHt68eBAFBRWKcsmiyYpBc81kDCanTikrlkzOKJhbiBG2VljgqqTKYiQLkqdGEGZpJYBZyGIth91cMCRLCTUxEJc8gqxgJ4NjUIEgD3CRh8OXBcZVlJy3Q2ZGcaaQBF8r1FRGSIuQwI4OJjKLVJBIplgsELHtxZap0EJkRkYq8tLJkqlikKAMQTgFASN6COQgRk4B3G1JlCrBUVRkITViADAVw0FiU8NUnkgktKQoD3WkWqGNmpkpICQycXvGXDgWWOhCiauAE8IkQK3hcAAhDR8tNMRgEQctF3TBTahZYYnMwAxhEcE0GoICHIiChEeuooCyYJIQmIOqDGooa0zuaCINPBaD5IgH2mKBwZL1/AWTCxJ/gZiQqIwVekF4q3fkHmJj4rKeUWJCc6iKbgQFCU5RlFmQJhObyHYEgndv8VvmyEShFgMkVCAdbYstwVBiQswCohjFiIkSSxecKgJxM1k2Y0544YEhRVZuUKAs0FIrirBCVT2Xy/hjc0LskowhsYS5rHwmshwOXCbJYgon0QBwh2HElRcCLmtApKcYjgarewLhoSATT2m47gY/G6Q4H2YGxoWeowHpyJ2uUKZ5Zr8FhwUIjKdMljIa6IWtiURdTfWu995wrY369e4fVpmfG2od9V6V8fITDqqq6tXRq73ehl+Z2urVZgM3XbV/fwlKKWY3E2UZs2ndtdddf631+WVowkMPGXekkR0KLUUiSq1JiqyIAGIWk4wGgvz/g7XUisBbuoEHGlfBycZJkSvIaC1UoCyfMQ9OeFDoixG++/brd+B+BzaajcdffezSUZdcefvl19x51bX/+sN1/7nmuv/+8fr//vmhZx6q6jW033znzdPPPv3fd/+n4ocZCjAZIGbWFYW5G0OxF4bUDEwrBu2wgjMbI9T4+MLCnRQCAw0IJ9DkVw4xLxR0zA0WqxSmBKQ6SGb216HJycWIMCAADjACccQormiNB456UTZUOErJxMsFuwbASlyAFNGsNYLnag1DO0RiAo3kkoEQyAyeqQz4BcNpOQYhc8EyRpL1YLGiT75RK0yFqHAhLBRNFvmxmJJklE45xDST2YqRaFjIogdiZGciJwkN8NgOwxYQl5mxoKy4cIkKvTGP+wFcDJcxk5qBuJj0vxGZmODxITsWtwQhBlyUy9aUtyvclubsNhxuxmg+Yjfi4jrIsElmJAsXAkduykXBK0VhyQSgg5IkM6SGxAwzQeFSMVCmDLcY6jlcQlNMcYWeBQKNooGrNZBQe6GZoCRzzotoDgwV1WBzBe7BRKiQ9DA8VhiRmYodygAqZqGPgjHwjDgYLJKRaRDRj2KVBE+RnwcCz7kKCPMQ0B8UWpRaw6kTaZbxV0Kg6AUPBaRYWKCyKI1eSS26aIkBzyUzjg+1400Mj5VewIHCD4i7CYycQMKvIQooa5laVEGtzDAso9uyxVRhK/yAoAHlRHczCMDjgqHWMOOMqUUjEbQFx2QoxIWMkg2mxXHp0UWIgFn0uSxW5hUVBYUvXn4ECoS0CFeYrSCgyQnd0GgpuzKEW/Qi9g8EGgDpcZXRNK4AwUa4EtiHIhL7ZWbqGeEP1IpYJhDaZc7BEEXUO2rN1Lzkykt2+/Vu14/66ztTpqhhGw/YdORvzzr+4JHbDfxKn6q/N6ScePGL+8/UrDrvf+LuI846ZMhJ+w09af8hJ+x3za1XzVw0QzUv7yiS8/GjmatmbZ3+6/1wh10vOOHiYXsdtnrftZcsXPr4E48fc9Kxe+2/9wuvvNDRt90ii9KKKJg03SQuM+NLGdAWkDueEZG9sViyKMPdTJZCEx/FA2xeBYOPMDzhs4A5qlYGWwCrkKweppEGuHGJCWUXf8azpmQAw3IRZnYHcLoBXXjemtm9zIMJfzAyp59Hq4eXOKcGRlxHJBWCMPJM8EIyOSOCC0eSeAq3ygRJisSjaHmqzBDTEiKB4B3DHhZ0ATh4ztSMN/TI0AkGJjRpEvHi22YqCX10pUo4BmT8ids2uKYgJNJhgoMLpwc0xmDIzWKlOvRKzXJ4IbLWUCzOHDz0WaKQhJ6CjXmCR07mrArPBhMvlhJJiaNqScnEn8WQpSRjpDCQ4HO1CAsnpCDaFKiwRiipOMSImpOMWTJVAlMZCQyuuUFaNgAbfGSTscBlhZBimwtpKFM7c5CUZGVlDk/hAf89GZgFm0s4A5QU20Iu2MCGlbggJByCmpMTpUcqrd4WF6HBbhYtycqfYrg7hIwXOpwXQ2hTZZACTQI3KVN2khXvbjEQuslMMUz8FVcKFVlFjSY5QjCh6VVWeBAtCVoJb25MqCEwCwEzCkC4McXw1iKVw0nGDjdxiSpZQmxGlJhoqOBD0plQjK6GTEksXEgleQQKhkEbjBUQfMT0BUCtBFKkJhcnjQDcSGJgFcmQFTEIFfqwUaDzSMDNjA0DkQkcpon7wosObjJmIVXcICG1QjGFwK2EJRuSQBo8CHduYBETj2YolQMmUITy+AoAxIvUUJNM4gI3lIJwC5oWwzfcRkImhrtbIHEVHCmMZGTixM1WdgETuJEGNkDCHYtQQeRGFpmTGCwuM2OWCC4yk9FHOIY6gWFFG6DgYS14ZuCWUPbQdocnUkAmseIJXuGikAmIsqWwUjJMUEI3qenrrDJg7x/s+42tv1k1a95U3/Z+u3/7V3v/YK+O1I5Gvdb2/e2/P+xXh/St9xOmXg1YY0C/Xv3wrtYt66yZt5JmlpTqtfqqq6yeqjRx8qRlS5dmF4NnOKnQKWagtMVFjrCIEZZGeZKVgmCJAYsZaOkzu3Nw0OFgtGaOGzxHJ1gus+ArVmOIEQyXOGVghXZbgSVoJ/9uP/q3xww94ODFyxa/9M5LDzw//r5nRt/z9L33PHXPPU/effeTd939xN1vTHkjh5P0INDMGQAAEABJREFU4fSPTjvjdEozomAvkzjDFMruEwjaSwEmbqhSVSt21ErJrXzjDIbMGFjAlxxPWrmAhDcYYej0FtRbLzhuObsRz5TDiBqwjrBZcONqFpcI4eIH38xEksy4wZCaTDLcxOpwcQHDGKIgSSjxviNCZGeTTSbxxoBzi7pDEMhEcBd/2SJHaBmVy9zxhP/QUxnO2yAjDUD4Fj4xBEKF90HwAwvdWEkNToFyZOmZBV88jM1yiA0/RYaTMIM0U83AW4mASMnMJIuUJGZjKIZJPZVKMt7kYJQ5FIaATXNlp9HuTpHQnLamZ0gYUjiUs8eRYYuZ6WzoIscLFjxiyYxWsB3h1DL3TFMM5AqRWWBJxggGPInwlp2VSwqnrRJCgJI7mUg5eWvkFl9mwpsxA26CEbOMVuFEZSQJCbMYniwoCSOVEemjT68lE3VjSxY5NFmlTFMcLRJFjoLgJeI4PiMfCaQVzpApFM2wxUq5xTJFoogcSwupSaxVYvYEFnIzqLDEoymZYsBUC8NUKcFDJbgSWVuSxfAk8cJM7axmClKtgTpk1UOo6MsUgyxjMbNkpgA5GAi5SrAkmZmSKYYhhc5y5haTTQkJHM+S0ENdikQovoWrDJcsSkdVDEiCwDGZVFaVYUEkM6SFhuQ2zBaDsiwbZFgbKkLKmQRjSywuMQxuLKbMUiBhwcGEdi83FBk66cADEPYoFGUmtjaOfjYsSr1xBvhJHH4ArIgmiol/3lrioQmNK4CDEjMsNFXExBVyLllMgcMjhxYVZ8iI4mxr4TgegmEMtq+yeYsWjLr1pq/s8OWLL//drDkz61V94PqDjhh83HUX/u1rW21fz7WKfeQbEBLHuQtHi5sLL/zT2Vf8/ZLJH765cPn8xV0LP5734b/H/+PEC4995vUnvZatJsOsHKxKqcq1VTtW3/NH+/7pgut3+86vVu+/dldX95PPPLnb7j8besiQye+91eVdqptXFrcjjxCPG4aO0D6LutiMiA0nWyAmSsqUYVZEch5XhghhNClyTS1apizzLIYbwjB1q+DhzsWdiMQMEZcILFGi5MrwxAhbY8rNJtpo4C2gFa+JCEo8lDAiJ2YFxR7FkwoHwjhiW9kWJ2eRVrmSFUyIMU2uJIYlC+iZepZ4J0tHEZA8SgAOmRWbjF3UY0Fn4kelgeMV0pxKiYEms4cQLqXQKYcpl8ksEZfGYEfyOAld+DI4TrBYRR4ppbpZLcnoO1C5h6khB9wwoCUEdRrB0x5z4y6Hn7BJlGAxJOYkBlmCikzMaVLtfxqk6tQbNthyDiGqZHEqE++Q2KrKUhkGgl3FUikZgC8eXzg2GRJI1BWEiCRZTkxyJnMo18oRKNtPh4TcnE8aMnbamC2szBI5lcCQMok4iYs0WiIjttCpULKQgAuGSSnJ+MM7BooIMlMScwkcE9zIVmTG5dmMzpgZtwciSbjEInBzmVQUFMEglEEiIBaWDA/MxpWwE7RVzCmF2EiUVZYCUTYxjOrx7eLVxUGUYXIqHKmpu9G1rHNZl3dzE4aTKhGL06scOcdBLBcmwgMmsY0rnrBwwyNX4UKGfyoM0tAHMBMJZpmZTBwjMxIzcxMThXOiMwRacc4i23AohROCUzEoEM7gSiZxlfcERRgyiiNlXIVV3AuBysu9LJVDgq6zUWGaigZ8siNEgFlxSOjIoogICKnCx5UHTXqh7TTQUILHLMMmVnGsUxEFw1wmCiQIuq6SJwLaix1uQMSCvLhOqEuYq6RHl5BYtAbzkgZmsCTPxZv4wBIvOtnYLPTMaDP2qBlxhG93a8qjBAsnJGdh2hIRFQRbZvBATOEQCxHDYRI3k7nhXniAFSXhzARejl0iIQkWHAvvMWUx5yIBoyBTsUCOV/J3r6nWu+rbq+pV8S1M4klQ71Pr079j1XqtPVVVrar3qvfp19Gfn6rMKlVJfE3g1BWZ8UBmIURsfATHubXX+ZBmy5YuX7p0mVzNLG9my+Vfb5CKeFGKFGVG3m5GdtYzZGSJH04K6ZGkYliZCIyW2Jli7Yp+S/gwWiAMTYxWtwtCsAzP8BogzM2kJDAW55MliyI1b/gl5/3un6P+sc+v997hK9t/8XNf2Hbrz2+z5TZbb7b1lptttdXmW2+92Taf23LbtddcMxkpeG5kZUrPuTihA1SKhJQDnD54cHI2bybnVRWhWok6lp6NfQ61eOdtObBi6Fm8nydzrJ0hBgLBwRonQZhTRxZBelzCF8owrIebPENhXGbHW+SAISxn+6ILoNhbLPREsHDrTixTSjIzJiXLKVBw56lkDrLCjH2S8yeM0QFjNigxcV8xm+EBG1VKHB5cJUNKGDHoXxYPMnGAojIIg02LjXvHYEWpkIUZk5ky4RVXyOOifYZPM1OMbAzBIDKceMywSLJYcjjlEkTpEv6ieZInMyNNxUhSkpUrlEGpLiAwxUQJjq25zFRGgnRMcNV0J9EmWbKaoeBedNh89J0tcBhsGhBdgJBQY5cd2ktKGWNcGJmYhxOZoQNLYkqBIwtPYqBi8ewL3WSWTCkyzmTiFKfWdhmhMlElXJCHrLXixcFkHG0KaWbPag0kHFE3nHGeyTBcKPNIw9zRCQztDKnMmc+RflTgKqpulo0hy/gQEZ3jb4FYYk7IzCLboND2JDNU5LEhQUjZQy1CmIcoWzblxJmsUhXahoekouT4bsWX5FwB8AycowarCQcGSoXnCTrALdObAshYxR3unimPqcVyDzc4RtnwJYUnelYEwTA38AIWfIV5yzMdCG2Pt2H4aenhAcSMSTBFsSxUwSyYhCZkiGDgtuph5vCWS0WoSBEbLQu2QcD0MAwcvryK2OjRJmZ6xWyZRlKCWSYiPtBxLIkBhkIAmMXlyQo/vHocKEHKDEsLnnmo4QR+zCa1FKwM99Jo8lPPCIUwjEsqiSrKl+ihYjjpuTuKQEpV1VZNn/nxP++6c/Ahg0867eSPP/6kXmvbZtAX9v35kAtOuOQn39rNlpvi2w1eZz1OYvRHVtmy5pKr/v77x196LNXTNltt9Zvd9xh6wNAffOd7a66x2kezP7zib5dO/miSV9mxq8xSpSpZSslqyrZWv7WPPviEc4678Kff+vn6a29sqt1z33177LPn7y6/+KXXXujKXbU6b7Nl0R6TGYkTWvLAU5K4MWVI6ZnhD0FG2tJxpyGGiRTzSoKas7ugHQlNZnG6YWbiVOBHFnstJpxJKlspGYpioIG9u5lBybOyitAVm+1yQAznA2Ot3eptamuztna1dVhbW65B1pGQAHngg/yrlGqpZlXdavWEfr0t1+teb/P2QHKt8jpQy1XN6Ei9rhrqtVSvrI5VMkZlJZsSlibQClARIbJxhsirJYCDskGHCjVnc1WWKo9ANa/qIlytiq3CbTKjxyZTJTMpU2US6lbFJi6au3jO9DmzP5o7f+aiZmezXqsl3tegWkuYYZHE9jifv4yWsfWJG4a3RLW21NYOVG31Wr2qklWWUjLDyIQNFZBiCqOSvWSSIDnutrxr2cczZ3w8++NP5nwc8+wZn8ye8fEs8E9mxIzok0/mAJ9+OvvTT+fMnDkX+HRWzDPL/Omnc0FmzZz76dwFc7sbDW5Nz8YOxt7RIEmk4mKXZER1eaabWT534dzpMz+cPuujGbNmzJg1PWD29OmzgI8+mgX/wxlzps8gmQKfzJnxccDHn8z++NM5M4CZgXw6c+4nn879dM7CeeXgUWqEk/HSEpWThySqdjcRnIlFHgkWvixUuJycJIVCqCsmitDiZYuWLFvc2Vje9G66X9WUcGyyADeGkqV4FZ+7cA65zZw945PSrplzZjaVwz2dx0TCxiwJQy5h6wZPESUQVzM3Rt1244WXXXD9TdffPfbux557/K13Jy1bviR2k+RRNnyRRc+zp6RtMquURDkyZpUZzEyAhD6TTD0gBpHdndAZqQcjXLobCZMyEBo0gRBIWwALJHuLhw4uBRN7WJkzFgxBqgiTp5Y0yFRkpI8aXgJcMIPNdshLrsxWbLmXsJKMPzEK000qiBjgiqaYRe1QUQ5NcOKHZzhiTyMJOUiheUslQVK85UDAAWxcBseRSqQI4ihIEaLEDcRwEsAl45OGIrQYWJgjLVAaFFIEkskYzhy4xM+e5GSS4pLcwrOoAlAMj8mQhIYZmJgsxExmwYitkYw/B5XTfZVu4s5lDKReSnJRPWHirY/Ag8qeM0biAZTphRBXVctBzOEJj26BCAeWOORSkqJSmamUi0SYt6CJT3fj1nLhHGXOLZ7d+XTVxDIJf2ZgxnD8ejjAW/BCyhVSLgAms/7vKMweFqm44YGJGCURJDBKUFCAKCREqBCzRMTIExJwhugEuUbGkYnTj6Z/d+fvXXfFtWP+Pfqhe8c/Mvrhx+5/5LFxjz3+wGNPjHvsifGPP/Hg44cOO6y9vaNWq1FSmIk1SaRnVqaUBIt3gk6aEgSJuWWZATAlVvor5CgTNnJDqtg1C2NTDJOlWOMyCReZRa2BU9GD3ENF9oG6xw1EdZ5xXACESNEPlEOiHAQzCx2TyWKIaA3v6hbQ3fBGt3e7NVONzazMQonkjSBWJUNXyZRqsrZUtaca0Fal9qreXkttlurJ6BDPzLo4XxUvaO0JtdRWS+2pBRZqVtWs9MojGby7mcUlaxHg6kkymQWIuVa3KlxVVXsVsepVrVZZLeXKM49k3izVPF4vK1eFjYcvDkEA3hJdMFgmYqWalEz8JY8ZZGUC4CnxoCTDprq7fHm3dwbkrkazM5urnHe8RrfxSJ8lM5PYG2YvhOPDKiOKMfAXD0MjPTgFVGYLmyQLMDPJeS3LSbxl5OXek1lKViVWEOaCKUoTyj1gxQkucGCeKZTzHbOLP5QzB8Qko/LojGXLS7uWLu1cuqRz8aJlS/hdt4tC2Q1u3PCFLYQkjKCTaIeLEb5hhDxuqNIJCPCMTzDiUYOFtRtZtDzIkoU1lSipMy9f3ly+rLlsWXP50u5lvNqqlloqxkIstN3DSXi0OLQUQS3Ekept6dGnHgFeev2lt99/+5PZny7rXJpjH0OJMOakmJnEGlZ4MkncSIUJKtGKELWY4ZdeoyAF181IHpcy/gCHD1Cdm4JGLDdwWFaex8QiW3NLCQUzZ5bgRgjFcHRZ6SFBMA5zIhuXFw5Cc3yax+wZOkOGIzjoEDVmGBgZB7S4EDxUJXTNYlIMOkBCEdOUih8xElfLAMXA4yooUxiHF7UmidUYrCFlW8AEw7nEBC7jT5Lh2VhkzGoNsgRx8gsm/CgvWhNcLiCYLNIKhFUrtYNtyVJ79cncT2+49cbjRx534mknPfXs081G3mrTbYbuecixB524x4/3Wr3vWsYtYwx5aTiR6A8pWt0ef+7hZ199KtXSd3f59jVXXPOnK/90xSVX/uWPfz3lhJEbb7Th7IWfXnfTNV15eatbFkm7G15chWh25c032nrY3ocfOfjYn377Z6v2WXPunAV//VdTwi4AABAASURBVNtfjz7u2AsvvuDZF59TSnGyI3MssClpi2FJpmCU2XgGBJOrgDGKlHsehaQ4LeacBTBweKYYxgKbWa0LA2iRY2GoZ9aKEVooOHyPV33FLI+/nLmfcO4uea1We+nRV8bc8uADtz40/rYJ4299+IHbAsbdOuHJ+5/pXtrN00Q5Dk9Kqldto28dM+bG8WNHPXj/TQ/efzMw/r6bxgGjb3pg9I3jRo8KuP+Gcfff8MD9N46//wYA/gNPjH6m2dXkmIu2irgSiYn4ZESqhYMI1ES60QKkRR4rd4JZ59LuFx58ZexNDz1w84QHbn103C2PjLv54dGjHnhszFNVPM7xiLHhRtEucVh5vZjyyvujbxz/3z/e95+r7/v3Vff+5w/33nP9mFceeZ3SUsWzUEpUZkmmsBSrMaqUPI37x0N0ZsytD95367jnH3+BlxszBUiyADMjSmKRIp7JWGIWZ+/F11484dQTjxt5wnEjTzzulOMLHMcBPv7U40847YTjTz3hhNNAAuAcfxrkiSecBoCccMLpJ514+oknnX7Ciacff8IZJ17xx99/OOND2sCm0TInjlz0JyAYcXS5stysq9E56vZROD9+JEGJfvyxI4879hTg2ONOAUB64LhTjoMTopOPOxYo0sI8/viRxx038vjjTznuimt+393s8jgHsYGpRMute9hNMlP8gRQQg8yMJXJTERqcsCO7ePgliQ8/zWv/eu3Ic0499bzTz7zgrHMuOveiyy7iE0RVrxjsiZlxyE02b+Hcv/z9z63+0BMQ5umfTA+5DFdCNVaCJJnMCBwTUQNkbNDCxQuv+cu11/zlT6eedeohvz3koBEHnXHeme++P6XctiVO2CU3jBWXBFoQ3JJ30MExixgKSbngqTWI1UIQGiOlFokaFDh71xKJ7hlsxYUAKGQyOBYUV0DgMjMusrAyJBPDmQGw1gwihQKTJOMv2qDCkomBC5BA4xK4kEoyGcDuxlzIMhkOCMMScojAWBQDi56lxTWOBAxDNa7SMRkcJgIn2iaVFgWTwwCFD3pkaGjlQBc8F1VzNGSMIEMvrrDFW6BomgRwmYVSy1ytBY7I1yDdTchjhoIJQADKAgfihDvOuYcAMHgFxJmF7IGQ9XAsTPHOsRXWXtjNZpPo4E3OeGrmKudaVt1Vy16LWeXdarxbiicdyg2UCVSsSC7WVizi8jYeXFwFHJ/lViRy6PWoSzkLbTeYlCOagQjgPUDQOPCoFY7iKQLPvUcXPID+FCn8AHDehYQg2oYuTMUCq2UIIQKhZaiouIeG7SvyiPvJlODKOAGVMZNmd6PZbLg35I3svCw0xWt3huyOTlCD48EMtzRXIiyMVlAowLhE0MSkEBgYehkCcwmZrMUE51mMowJKZqYks5CSJ9ZJDIv8yTcsyxUydxziF7nCwlS3ZmrkFdtaNtRVl9hZtrjuXmZjxyvnOwGrECnxOsRHo8p4RTjjgjNOO+90gOfeqeeedvf9dy/v7jSRliIiwaiVOlwms5QWdy79x3/v+Oddd/7zrn/+864777z7X3fd918ODw+uAEMrWapSslp7/a777rro8osuvPSi8y+54PxLzj//0vMeenxCVScJUe7i5QsXLVtU5sWLOxcvWb548fKlS5bz4+iSpZ1LlvF5oGvpks6li5YvosA335nE261Rt43ipeSmO266+Y6bPpk5o6t7+X/v/c85vzv33IvPP+93551/8fnX3/DXeYvnKZUKzET+dNI8lR4S9PW3Xnvq+SefffHZF1594ZU3Xnn7vclWhQaaih0xypXZssbyW/516+nnn3Hm+Weedf5ZZ5x/5ukXnPn+tPeRAq1TjDpWEaOcdRdo8Fzqbna//uZrr0x8+dU3gVdfe+u1N956beJbr70x+fUCb7wx+Y1Jb0+c9E4L3nzz3TffmvLW5Pff5PMD8O57bzO//f7kd99/+50P3pk6fWp8oK0s+lqram18e1ylekptAVVbpfiUm6xmVVuivbW2qtZeq7VXfC4F6m3gNTy0tdeqenro0QlnnH/Gaeefdsb5vNKdceYFZ459aCzfkTiPDJG7yYyL0sq2M9FE+BwHGiVPuWnNzFw142FSNfkMGSe6kgE1WYCluqVaVZKsarWKHwCqWu3dKe9edsVlp591xmlnn3HqWaeNPPvU6/52LTlbMoZonhFFLbwsTEqkEhAOOX5HHHfkIYcPP/SoEUefdPRJp5941bVX82LKmTNylIWiyKOFtObCo4iorgc3NM1ahFkgrYtEYDocAKyoFdQYwYCDK+OcCBQrYwEtS2uKRNCRZbMkeGY9RZjBkEzQ4CYzxWAJI5NBGTMMoQPVAisLs3OBu3IgqMUCo7X0ODGi8KyAR0tBBIZOy2HQPMJS9CsuMbXkpYm4ANjQqAAsmhZLkOHDzET1shbRsxaihcdchIEE//9eIYpL4gsQ0jO1vLnAHB7qzpUqq7fXu737jn/fcehRh559wVkPTHhg2eKlG6690bB9Dz1xxKm7f3+PjdfdtFIVTio2LuzDMjKNs2ym7u7OZ15+qrOxfM3V1zz1pFO/8bVvtNV7qWFrrbHW0MFD9tj9V+3tbZPfn/TmuxPDKHuOXnC5MHaJPooT6b3aen15m68d+OuDzjj2nG9v/726tb/77hQ+cR15zBEnnXriW+++xf3GzVk2J9LBSAofpnCMJwpLnlqnJsHzsg1C4sICijYQ2cp2MBtKGKPhscQFC6aRFDlJkC0RlkLAhTZzcLniKeXsdADcLF6UlUVr3M2UFs1cdO+NY5++50XgmXteeiaQMt/9wssPv969nJfEiBPvCmQpp6fHvPDM3S8+c/dLz97z0nP3vfTsfS89N/qlZ0e/9PR9L8J56p4Xnrr7xSfvevGpu158+q4XgKf+++IT/33+xQmvNZY1cgySobqY1RrUGwgc2gHQCBllwXQKEKHJNrmmvz3jwTsee+bel5+55+Wn7ybES0/e/eKE/zy5St9VUCi6CmcYuRsnq9vG3THhzqvufv7eV99/fvrHb83+9O2501/99LUH3rrnunH3/m1s58IuJ5ITWsqEBjMjtKlW1V987LWH//nkk3e98MR/n33k7sd7t/eRhFD0NxZzZlPGwNU6eSE3GQM6pRkfT7//gXH3jxt3/9j7R48bPXrs6JhBAu67b9x99469774x993bgvvvvef+e4C7y3zP/XffO/ree0bfe+/99949+p5HHn9kwYL5JEqlcnYElETY9IIIXOTDxiLNnl99/dWxDz0wLmBczA8+MA6AfHB8IODj4YwbO37smPHjxsQMMmbMA2PvHweMIc/7xo6+b8xo5seeeKw78+bIW/+kp7QpEiAwERUtN2LHqY7a+YxqJsn4E4dcQZWrh0eCzhYtXLJo9AP333z7LX8b9bc/XX/tH677wzXX/hG/tXrFTZSigcbEtWz50meef5Yu3TPmvnvupyH33Dv6nvkL5yVT6nGsQKGcZ4dxixFDiAhDY9jNjto9Y+79aMZHimHdje6Zs2fOnjOrT5/erXKYs3tGOUqK9ExRmFiEI7WGRc0hhQSXKJyU9dmBgzDCVdFI6BQHhqAHL/IepuABVlI1sIBoJwLjKpDUM4pWj7TFMucMBGqOZckPs2DIma1H6obUDE4AuoLm8lJNaCoGarFE+4pAaIVRMYAoOKUV6GHCDl1HFTQ0FEG5YUPLzIKMxNQaxmIJZiDgAaAuMQNlZfKgFSMCefQZqcNwvGUv+9PimoiCQIEgJXBhGDzjQRBl4cQIK4aJfRNTDkFcYsowubvcXdjzPGg6U7SCo6HMc5NmgRYd2Jg4UVwuDk6Pa1eIsV+4bNFzbz7z6KsPPfH6hMeA1yY8+vqER1576JFXH3r4lfETXn7w4ZfHA4+/8si7MyZna5KNEVfuZQHFKQGNXjpeEagJTXLkKSefYEMKbistsOLG417EA0JkwY2rOBFPUwgk1mzm8oYPFUhSLjPVSBbV4CRyCXEOEXkREaHoqFoDBlC2WjRYMVniT+RtJm5JcyqAY4z0v2EVaknc59zDvCS2DODh3GUygxmVmiK1YAmWDNrhCFlZSThSBEcCgJBFIMFGkwRFDrhpEbCjNGjHR+xdmATJhR2z8C64qGIjrnCito62f9/z730G77PP0L33PWivfYbsve+QmPcZDLL3PkP33XfovnsP3mfvIfvsNXRfYG900IQ5dJ//3P0vJU16a9Kf//rnP//1uuuu//N111977fXXTnj04eXLl7uixeZkHqg1na1hn6Cnfzpj5BkjTzn9lFNOGznytFNOOfXkM88+o7vRFZlGVtEQMgSssntHj770yssvu/LSy6667PdX/x549PFHU1VJfGM1f/hRh+554J6/PvA3exyw56/322OP/ffcY/9f/zoAEtjjV/vt8ev999hz/988/fyzTz/zzBnnnXH6OaefBpx9GvO7U94l1bEPjPvDn67+wx+vYr7q2qtu//cdC5cstFo8dClQbLZLIjs3s65m18W/v+S3xx9x6HGHjTjm0OFHDT/qhCPiGR0K0dbkcXTR72x0jp0w7i83/OXPN/zluhv+/OcCH378kdOC8mBGJ1bUw04x2J4A+mRz5s4+8bQThx95yCFHDD/kiEOGHTl82BHDhv32kDIPO+S3w1rIwYcPO+jwgw/67UEHH37wwb89KPDDD2YefOjQIYcOGTxiyODhgwePGHz4sYfxoaWqVZxS5lnzZu0/eJ8DD9r/gKH77z9kv32H7LMf89B99zto3/0P3m/wwQcccMgBBwzb74Bh+x9w8H4HHLx/IODDDvj3f+9MKT39zNN/v/nGG24ZdcOto268bRQfXF969cVyj5pRXVTCzlNJYJmG5MzGMjXdFy9ddPW1V+07lNO1z35D99l36L77HhTHbP+D9t3v4P32PXjf/Q7aD4R5f0IP2+/AiLvfgcMPOO+icwk9/aPp//r3v0fdPOrmm0bddPOom24Zdf/4Ma1tEneTmUmJLaOFKnjMIMbKrdnWXt17370zPv1k1rzZ70x55+nnn7ln7L0PPvogHyZDKR7i5GxxkbHcMHPmYPBQQC4HL4BMUa2JEVxqFrruiQWuh8siQwLNNqsskkWKPTcthGMOoEbeHjpQwRQ3dA8phiGjz5LBRCWQllrQ5QoSo1iQKpTcDJEIX5aYDA+wJVOwQ4sVCLueyyxJSZEpAvQCKM1lgUnZLeqHICd2mydx5unTw3Tn2WdYuzMDOQwRoibPvDhFcphhL9kKWhK6KsM9FrOYP3Nh406NpjAKAXqAzNXkD32z1J569e147tXnd//Nr4498dgnnnxi8cIlvao+v/7RXpedftXuP9hzvbU2qqzOU4mb0IwHikgYBOtcSuO5TbULFs2ftyjep2600Ubbf32H3PTccF5oGt3NjraOb37zW2usuUbT89tTJlvi4JllXuay4YXEyFRKfBUJQspu/Xr122rgNkccdPRpR5+x9cbbeMMVfo74AAAQAElEQVTef/+Dm28dtftvdr/w0gv5obbWXvfWG04jL+HLZRLlmlmFdxboXN4TykJAHCmbcs58ywdKHZLzUJLMHBVXGUgzFDiuK+EGlPSYzaEcFu6Te9PcBYUXOb6hPCrPZtFkZaReS7Xx/3rMF9fbvKOmtkptNeuoq72y9pq11VJ7Kg1p+cAkguZ6m9rbVK9bW93bOwzo1aEOoC317jCgV7sF4LMtddRSvWa1WtUmiyGGlwZLOXIImgSlFGdVBg3QbLWk7pmoUvfi5nMPvNI5p0nQSvVabqv4UrHhX9px2y/uuG2j0Y0Tw1JmSuBVTk/c8/QT/3m+czZ67VWqV5YqpZQotqYFemnM6/eNGluv1SXUaY8ZDTWnO1VVLZq99IE7HumlvvXcRtu+vOMXt/ziFk3LsiQ0LEJVqlgSfWeBC5TNYpUxkqUkwzmVeDBB9f8OBJ9lYbbCWYsdVM+Fc7RddKSsKGQncVZykCyHokRMrgis1kC7IDgv6/87wW/BZwU9voJFSAJw8DwzWt4cDo1zV1aAVtBOFniTaKXQLRk6ORmXS0pcMps9f86yzuWBx+XcgG0d9d59+nBbYOoq/kIklImh1jCLlSnq43LcBeVsDMmQiqPsqNH1EFhVT3MWz7vgkgvwKTh4NktmAzcZuNlmm1MS55ESQiLyc5MRIrBY8OkyhkvggaIRuEWahk4BkMIvhCIxIw/08Okh8ehHTriBA2CAlDeUQhtZCMQAtfCMfotFA7MhQBuGow1HRnmgikORWuKiY9G/bLllUpyFIXFd8XBB1ciOBJx6shlEhILCHjVml4w/ecaZiVEmnqYyK2V5tN2D62IGFFKRFkiweO+FbjgPz1iZGMbsLu5tJACsFYDkM2jZVRTJU+HOYvKsbCRbDM2DxaycXaFHPojdzA26TKyKASO0cRBUDzc0FNlEP0X+GNLKsI/7qunOgsIK7zkTH2bMuLHgu8ddHpeSxcB3iTJ30Zx7n773xvE3jnroxpsfuvGmCTfePGFUgZtunXDzLRNuuumhUaPG3/C3sddfcsvF/xh/e5d3WtRFdFwAZiZ8Eo9YUjzOjTl7bmaYzbhjcrPZJMlSfNSXioLEQnI4AQOK35CL4VFxOZpBFB0QEYoCklItVSBm+IrVDbSqmMVlJkObhVkWI5RMBm0xJxPOQ2CGVcpwrYouxsGhg7yEOUqopSqlZFamigUjsjZRkblVqaqlVPIzY3NE4s3MHCD46BIKTYMSOjCAIMgAbTzRNY5wiVchMyOVoh5anCQlq2wFAyRj49DoImVzQ4+kielqVjX74IP3Hn3ysYefePjhxx+e8PhDDz320IOPPfjgIw+Nf2TCQw9PeHDCQw8+/MADBcbH/OC4CQ+MnTB27ENj33zrTbaJrMJ18cp9AR6FcGAyEQKUgx1q2Zux0T5/7rxZs2bNmj17zuxZc2bPnjVz5rz582pVrfiQZ/7k7jkM1czNbkaD0d3d6G40cdHw2HHv6up8+bWXnnn+mWeef7rAM089/9TTLzA//eTzTwU899RTzz4JPPPcM7Pnzu5sdM9fwJi/YP58Is6ZP7/RwL3nyKvRbDYgANKNm06yZFwSZ0/si8RZ0qKli6dMe//dD96b8v6Ud6a8M/ndyR/OmF7n7YPJTGJibzjyZOjFUNEksQvUhNgVRwCcsHSpCBQ7I49dUWuwy3wZ+M77701+953J70x++52333578ttvg02O8fbkN99+863Jb765Et6axIfeSW+9+eZbk958a+Ibb74x6c2JEydNnDRp4huT3nhj4uuTJ79ZEqG4SGV553K+oBwzbsyYsfffz/ekY8cw3z8O/H6+P+Xjx71j7uWrwHv5anLMaPB7xtxz7/3xzemkSW96k02hPDJ1M2p2sJQ4dcaQjCNO/nLRBnPCmvP+hcjuljOb+PqbEx98dAJnLODhBx98+MEHHhn/wMMPjp0wbuxD48Y8NHbMg8AYvrgcPe7++8bed++Y++65ny9nH+NIuHv2+M4oi34FQhglY0RcKdH1eOgTnNiK808KyUnL6ra0e9m5F56Xc5MMyUhlbLzRRquutlqQjgkpM7cAsYd/VvbHZCBxyaUcylrBCi45KIYHIRkxFIOOwzGDE2SI3TljSiQluXvkLxNgXDCCiwEcT3xrZQwxyC0eHCGFioUmBIZJuAUlKnFNSQxv2SE1CZw5jFRGIQrmRTkzW2REvkI5RNToOHHzHKSKWxcaboWBNBpnUJgXFtLW2hMKUSsB6GicF2kKNUTKwYNFgCgPDO3Cc2ppkZZbRlE8UjMMW0LkbHiowydAZcYNtqyxjEfDvoP3/fGuP3z2+WfV7Wv2W+d73/jxdRf/7bD9jly91xrWjA80rvDDbY0thZQtdZhUa7mZXOxxo9HIOTarwnVF1ub0gqTpidTW1lZV/PDvXY0uJxeXpaqsbGtGBWXMOX3uFY+ujMesmrdvt/lXzj3x4hH7H7XB2gPba714DF5yxSU77rzDLf+4ed7iuQ3jp16jEFzRa2O4c9+5EpEjG7FnUYLRJJSiECWqoRMYSNkCJDdEIUgSYB7KwSprUDmqjNcw0cgorekYiZG5jDhENxPFSHHDhRG+0nuvTX33xSltquEOTcDZp8TLE9rGQSqKeBRVy2kINeA72DSR/XOHK1NKVlUKw0pVZZas8NwSZFXV+P29MmFAPRKxRXEGhpsWO3vGBhDScJuMoJl0aaTXp7w69c3n3qlXdTPDzEulfdfq+N6vd2nQV5m81RkcUnw1bfL0Fx98TUtxZgjxToMaKbs3iONWdajX0/e+8O4rH1Q1yk/4NC5ZYk+6/eF/P9bJHsrYsr5r9f7Gj7av96q5CCJjuFNw5t0D9ZlbWIYHKQuOnDVKiOZks8zDM0ThXwplMUwWYGZSkilAtNgUnNYMLQmcfqLjnh2fMJgLhhA0DEKVuCRj5Kn/r9FjsVJkKzG1mtfyA9fsf05SqlqkG4EJgxsiJNQKWJkzMzZsAwjuhK6ZUkj5zsDZL6k1SeKIzPzkk6VLl5jQkxevq6++eq1e4zWcfRecAkJOYK0YVBtosXMMobFGiQSIFzLYlpngu6W0cNniQ484bM6c2Z45AjDpsddq9bXXGTBv4bxmynwYM/Lk/IlbheoU5sWThbqyZznOgbDlqQIbQKU1r0DICpQekJUcn1ClilwYUFnk2eOEpOVlQmoxMnQworfmqAPFZw8eMlgkIC98iCjUMzEJVHAKSOLEhQ1K+DSrYKKb2GYwxxgJjMhECjyu8BBWwUFNeIkzDoqTCAHmKxTUGiVw8RDqhhZ8dFplRlGG1K1ibh0qMzQCMljgTjpBC7NYo/LMbSx65cFbcWGfuNAxUpMTw5U8JaGNM8UqMVuS8JpBKVnKPJkk0hcj3LHIlSK8smRlxz2SVPCMOUUe6Do3Xc4CSnsVw5E7pRPUzHFOAuhjZok/k+r12hprrrbOOmuvHbDW2uustc46a68zYO21B6y19gDGWgMGrLPOgHXWHLDW0uayp15/6tXJr3qiGEULiaimOMNNght1Npu5yWjkzDvn7mZuNHNuNrzhPM7JqilHGVNyIx84JJYtGkOS0UNjIBR5F3Bl7kGrLLI18pUbvhrjHx53/ajrb7jlhptuv+nW22++9Z+33/6vO+741x3//M8/7vzvnf+661//veffd42+i9/e+U3+/nFjxj30wPhHxj/0+IRHn3z0sacff+LZJ5989pknnnn8kScf53PI2IfGjBs/du68OaTAk5zntOWSEDS10kUik7pLcgVTgpOsZEU7DEzUT489ISFJpyw39otnOedZxSqhE04k4Z8ryywYBplQludUaHfPlhUjFDzMU5lhFU1l6+lLVcV3rMYgO4n4yvJmZje8u+HNpjeyNwHFlL3BiwUKVEI5zD3gMbAmPtDyI6oJf8o8GnIoUk4hyJTUm4YR29q0ubPnYEWTmp5zjh3vaO/gK0LPmJEPimKJDJteRZgksQSIAU9qOYP6DDjxaUGSgazkE6uFVxUpRnfgWOi4JXIkKs7UdGrPgUlIpYwrz7Ddjf4iyQjmL5rf1d2lFQNXq6++RuJcyrNnyZuec7NAo+mIJTPDWJJJKZmxOk+zYHrYxISiCw4mnnP0QWaGu2IZ3VRQKsPLbELBQO1/CD2LJODAXwEGggmekDlZAc1md+4GGkGzK7lJWM/ocIUXsBU2oK1EEFF7s5lRhBNuPRtHS2bUZVFA1IrMGHI3KVnoxeUY4prqAHSQh2vngIGSQKGYcN8z04hw4rE7mR1BzzNdBgdwClQSITjx4bLcHFIqTIgQRRbcmyl1NjrPOu/M6R9/ZMWEGX/s3Re+8IVG7k71yg03uKdynEGoDMik8EQGIIHikwojS4QUVTAmfDptECNDsnCKiAIShcALZZpEQoRA4oi4kZEWfbYaBkoxhy0xQwshMeOWB8tRWZijRBrMBdzFu7t4ecAQtcJkIimUg8EFGJ5ggwXITNQscS/ggZabGeLCA3Fsk1kpXGynmSE1c8UV0YQDRwu3ISJdVAB4odXqR0YadoS0KI9CASqBiSIIJKaQBeCxhj8jTjKCQKMGaQqqheDWA0upSqktLe5c/NjTj515/ll77b/3f++9J3u11moDvvONH5502KknDD9lvVXXb3Q2FCNuabEfnrM3xOQMxQPdCZ2M3c8i0769+vRq75BsxowZ7703JdUSB94sp8rc8+TJkxfMn1fJ1lpj7aiTncQxZsJ1zjFxdnNueI7hvGFrEr9palibOn78zV0vPOmSPX+y35abfK5Xvde0Dz88+tij9z1w31v/cct7U6eIdwI1U5XcROEs0W1LJGeRGk8oJD0gEna4psjDDQNX9JO2goi3rLTdQ8OpkLsIgcpIwhirMLVQMIVTrMOeLlBGMZQoS55duXNR54sPv9K5oCGHa8KD0xXiBi3JGKAADkREz5lHBy8DyELqpESFeDSU3A17/GQV5YSKFJXiJ1E6OcmkuEIdlDLAQFqgGDCysEDWcmyqOhd03nfbA21qM5liJLTU7jv86Ktrrb86aRjBUoSPniVvdjXfe/WDudMXJFWou5p91u7Y4hubAn3X691QI1plqU/V5/6bxyXJLKAUQO42ZeIHbz3/rnWLBFTl7XbcZsPN1mXjnZb3NCs+MGPnxFbUJUpOJsqFJSh5ph9ip2vGieM72lrNahWgqrKqSlVqjVCpLEGHToUuKO3Cyf+B8BsXvlmcqJYjGXcKL2mYJaMYV0pprTXW3HjDTQZuPHCTDTfp1y/+j3pwZmbMfCe6/nrrb77pFpsN3HyzgZttzrzJZqv1X52G4xgFAHytNdfaeMONN1h3g7XXXDuxy3Q2R2wpFuVyoiIN1MkjmhBUCSEYBdgSkjEykoTIyI/eixLfn/rBosWLvaiqjPXX29Cbmdcx55WkWexJyAnskXfRaU3QRs9qVapXqQqhK7scPgolhiyZ6tVHMz88+4KzHnr4ISeSQyEkWgAAEABJREFUQlMWM6+Cfx/1t70O2Ovav1/7/KvPL+pcXGuvsS1uDHygY2hiFIuiulYexk0qWXinOJR75AJ1NzEwkvHXWpktKLSRKfhB08Qs4wEExy2c0nNw4/KomTWk5rJQc1IwruiXg8At9Tp6Hi2FZwzkuIAjBsYhKp2xpBA4E4i7hzziYuFWPEvUKLXCwSpMQxi2ycOSiRdYZJLiLSw5SLFVwhbrogNHxbN5HFF3POZgCnHEXSGNxOBzkJlDKFyV1ILlcCxycA8xczhxPPPeC594bfFwI0MnwLCELprY5yIgy4yLsHHhkjTQpxDCSVCeieMcaZFBqLEGHyrAPTcRcsQAV0Ka0RLBAipXJZlKmwhoEIMGbnrtlX+667b//veWu/5z813MwF233nX3rXfDvOuOu++64793/fPu//zzP+sNWHfR0oWz58/MntWK5k4uuemURy3OY6fJw4RuumdA3mCOH3lob26iB8DJ3ASYkEnUxfl3/BmDnODjqkUnVZVZArjMVGYzW7xs8c133Hzaeaedcs7Ik8845YQzTjz21GOPPuWoI08+8oiTjjj8xMMPP+HwEccdNvzoQ4YfdcjwI4YddPjQwcP3P+Dg/fc7aJ994x/L7bXfkL0OPGT/EUcOP37ksedcdPb5l10w4ugR/773XzNmfvTe1HffeufNSW9PeveDdz6Z9cmyzmXcuSQho53OCISHRcUd3VqYjcxlpp5RsFCV8Qewi0bL2HPjMVi0nHI8fIZY1Iy+GdsbUrpgPMuwUZjBZkWpIgcYLmPwbM/BhiGc9ZiihXUuu1I2qqXSMxMnc8pQCkYrrcBWXtgKrw4jLnaq6HKKrLBCDhKQPHOqhDqaPmPGxzCzMjvPQ5Fd79u3b5Vq0AAitL1JfJQtKZVK8BnQuhBIptyzwtT/GT2MnmWFiEMBChMAASx8kAWOyBZv7oHGexg5DwNysKjcCWZcSvpk5qf8KITtSlhrzTWLlYS6Z3oG6ZxwGHhdMaOPC8OfK1yFtrmFuhjFUB7PAWdEGkULER5ihoVTd7Og4hjhIlD8RWTRXsiWNESRSqwwlQzPIOgSUaXPBYcXccIqLkG0VhAx6L9APZhEaTaagbGdijyM2SHcqItjKJy7hYEYFAdeEFZUjLg559KciC7MubCSUqmoUORqSCwI1Jy4SFuZmCULzWCqjGwkIDdXCMyzW6aDAZKlcvHV3LxFc/9w3TW33n5biSZXDCNF95tvufnyq3//4usvdublVksWtYjJjSj4lSzLxEjKsTpCKKEZC1dgJrwBKiZRUGpxssH1wJNJENkLUpplMMiVrHqYcJEaIZzCHQNWmIYTCzWj0UVa4mBbNlplxIcxCTW1BtJi0uLgTGYtnA4YAymahm9RFYGhMnGhiq2EepGqjMQMhxkAMWHLxaq44Co4JIxrMg8vVoaKHDR0IGIpJWgFT2BqDWOJi6UF5O7BiD1REPgmAhuczOLxzzcHDz7y0MizTjviuKP+PuqGWbPn9uu96o+/9dPfDj7m4L0O23bQF7zT1TTDQrFFJIYLPLG3tB4kypajUVkyU7xlNfXu03ezjbaoqtrMWbOu++t18xbObe9Va+tdr7enV19/5T///dfiRYv7dvTfbusvJJklCUucFNeE4LQ7V0DD4yNXCDxuQJcn77b+7av/8nt7Hr7/0Xvvtv+gDbYwt5deevHsc848/sTj/vSXaz+d9WnVVhm3bzIlXOckDI04JErOUjCk2CK0pCjNZByQ0qkUNCZlMaQy2WdA2MMwXIWLUDOpLAQoiDJ9BshcLJnjkdP7b0yb8tpUc+5KbDExYc8Us4ObGdrKFIlRMHLOtCKYUAVyyg11Lc/LlvlSYHmOeVlesnwlmZcsbS7u9k65F8Oe1cOcixgrBMRFWGLKieiIlaxW1R/49yPzP15k4k2NWiNb9/pbrbPdTltbG02iHizYKxobc+fizg/e+shyhXJ2b1+l/qMDv73XUb8Afn3YbmtstGo2WpNqVv9w8vSFcxabUnkwy5q2dMGyFx96bdHMpTBRWm39Vb72/a/UOuJHLSMjkiXPVpJC7vrMgHATzTajrfbFbb907shzzxl57tkjzz77lLPPPPmsgJPOOjPgzLNOPKsFZ5989lknnc2MDnDOyHNOOObEjTfeGG/4piTmAi2GaBlkizBL5OLJGDJZqpjbqvbBew+98ndXXvW7qy8+/+Kdd9pZcKOjYbT6aqsdfdhRV150xZUXXvH7C664/ILfX3nxlT/9wY/1v2GSDd5/yBUXX/H7Cy4/7rBja/yOW7ae6luQORYlMxe9VBk4p/mEgfISED8OIQPhoivMnGfr6uqaNHnS4sWLQ7riGjRo09xo5u6mNzJfbzhvK5TEQS4+tGIYQxozbsw//nv7nXf946nnnly2PDaLGHF8kqwmfoS0jvTwkxNOPuPk2/95R1dXpxkCV1Eqszo7O5959tkzzz5z+BEjULvlzls++vRDvuuxRAAXBRIx9FkKOKkEwhbThMCIBxEYeubUJ3QKwiQXw4jGy5BkYMaiMknltoIZrKIa5tFAtC2UikAoOpR5IISAQdiYlUxusE0r3KiFqQwsYg232VCDMKMLKmZwYAhLMOoBkUIK18LGMEFTrLBkBsTkIWzlaQh6LiTcaa74g0sbmN1NJnAQIHDhtWcFVaDhr6xSLEw4MRkPQ2ZLag0zJVQjJWdFh8WEdynsPHBjBGEQYrQWs7KWiQyBFsNpkSnwaK+UczNnjnYODWRihVmKzdlbjxmYISpWTBZZVVWqKou5llIFVx29em226eZbbLol32Vsvunmm22y2aBNBm260WaDNt5s0EaDBm20+aCNN99s4OZf2Ha71VZbLXuzm6/O+cSURQp8XQhkBuk0S1xvjdxaJOXIJvIAJ8uoBMyiCZLTHzOTAJUB4lbIlKxK4s8qU0IJXQkRL5S9ev/g+98/cP8DD9xv/wP33f/A/Q48cN8DDtxn8IF7H3DAXvu3AHzwXvsfuNcBQ/cbesjgQ0YMHXHEsN8eM/yY4w8/4eSjTznzxDMvOPMCnjkjTxy52092G7D2OsuWL7vxtlEnnH7icSOPP3rkMUefcsxxpx534hknnHbeqb//0+/HThg7c+4nVVuq6hX5pCqlZMlArUpJZCcGT3iT4rGqwoojgKgUa3AMNg2It7ESN4dTqocClOgRchYODEJ5oZgAWMywHC1xkoJiVQyilBfmcGQMxK5mo4ET7JhDKa6WUWArruJtBdGzOon2oCsXLAOoVGwoe1tSYUMs9kcmujD53cklnDx0oro111gDDucEG/HxC4HgA60yRNomrMXAk5XMMQkSTUiwAoWJvUGZQtfAAHih1uMQymQMrHPuYVrLmDnLM68Crc6KrCDZLkymTZ22ZPHiYohTmcTXfI6YW8mgABk7XlXMZkGGXrlwXIB9h0ZUKII7l2gHK5GRQXtooQMVEAmnql/ffv369GXu26cv0Kd3n759+kH269ufuX/f/qv0C+hf5lX7rbpK/1VXXWXV1VZZbfVVV4uDSD4AX2VGtP+VS4BI2eJGT1KKskgngHwMcQGQ7A32NiXQkPJgJzEV/WAZo1hDmAXb3AyOhVMy4P2rU5xMMVBRoLHSC/WMcBl2IYKFFCiEMRssNAowRSVwAnhNIN3McH4/yJ7dstVSvaPtrXfeOu+i86659g/zFyxA03DDwnnAQfZ3p0y56OKLDj/68DPOO/OBRx9Y2r2kqickUWGoya0sKyeSK3joKMpRcWg9M4upNRxc1uqAXILPXUhgxTBuDJjq8R9oYXtRQApQn2EVlnFZEYXW/y54FhR6ZQ38/1xpJYVK4M5ktkK5UMQp0OJGhcYQGaL7P0hsHycTU6MQFvVY04eeMqRgF2cqg63FimeeeiSYfkYscE8qzMBxz5K4EDBjy25YicOMHoEAIioimaU0e97scy8+7+iTjr31n7dOnzGjd73Pd77+/TOPOvegXw3/ylZf71Pvy2OFTHGdOSI8YhoOhyMCE+CouMfxMU5M2VCiWGJSUvXj7/1srVUGdHU1brr5pt8edfjfb/r73aPvuejSi4445ogXX365Utuvd917wBrrinTpCXNmk4ynBtByhnOi8ARBR5GBmSdyT8a3AKnmbZusu/nPvrPHSYeeOuQ3hwxYfb2upV3PPvvc5b+/bMhBQx58eHy9jZ+3MKFo+m8U7gyWZDKJNJlV2kz00ujIIPila6HiGQUQZpRLWkK5BS0S904TYKMhxcRlBSGYokvcU7KuRd3PP/Ry54KuFDLMcIoLQHERm7CAYiAGBZrNJqWLrFpss2aVv/zj7X7+2x/97Lc/+sVvf/zzI34SM8jhP/rZYT/c7fAf/fzwH/3i0J/s/LMdq/aq2OHGPTCQSMxlCiAB1oJHn1TOCa811QeTpr382Ou9ar3YTTFKc1If2/6HX15lnVU4AI5Rds+Zd+cBDe9a2j13xlzYqGc119tsnW2/sXVqE1u18ZYbbP+DL3fnrqxsjEb6dNosQTQ9d2dr2JRXPpj41Fsph3W3urb/0VfW2XjNcF0S9NJt0BDj3cnTWRUriYD3SGS2xaAtDh92+GHDDhsx7NBDhx162LBDDz14xKEHjTiszOAjDhox4uBDDx064tAhI0YMHT58CHDIIUOGDTlgCD8o4cuJpBgeBP7ZHXenN8HkniId+sF54pQTkecz4ZOnbbf+/Hd3+u53dvr2zjvuvOEGG4Z2uai4o73Xdtt+ccevf3OHr3zjG1/e4Rtf+cY3t99pow02ljCVYiaQbbftdt//9ve/v8sPv/bFr6ubuEVAGtEZNPEkY0XXSRMoWTl3joQkoyo39pLWqKQHicR5JzVt+rTX33itET8Qa8WwLbfcshywTIXOFJADwfcKpdYK44/X/TH+k/EzR954y6h5C+aLFiS3Oi8V9dRWPf3C04cffdjxJx334EMPdPJJzEQeMQk9eibyKq682WxMeW/KHf+647RzTj9g2AFnnHf6xHcntfVpq9V5/S+ZkzXxJAs7+pAl8Kgu1vIsQA6oDLOQmpjNYikRg8Q+GGKlLx53nvcIiQGXX2yEGRd7Gm9eINAISXEU1g5PxlAZ8GN1dAJYWzkHM0mIM77dQFQGvS14THHBLNLIH5qtpEThB8wtHKDRoi0wpLFyhYJQCEtJ3J3BBAltZYzBYYUKTzny8vLwCNqRmswUwzOrezEhcLQkhYhUUYPjKipRIKpuhn6AM3kQ4SW8Be0mE8G4QGhpcaAwho+U9AgRiMIW52iEyN3MhIVIBXZro8Xdli2zXc4XMlgmz8m9CuArCONLmJT5FsjqHD+lNuPbH6JVie+I+KXUlAyngFy44UsENbJ359zIPHBygxPYbHpu8pcbzSarNxs5N5ve3cyNDI97IOfs/HZBRuTl7sKZyEUxIN3gIBIylCSOO2zFLdmjTF0mTAwhOXG6k7GGpRhh3NHWa5899jn3tHPOOf2cc8445+4lqTwAABAASURBVNzTzznvzPPOO+u8884477zTzwfOPY1vjs4+e+S5Z51y1mknnH7KsaecfNRJx/32uKNHHH34wYePGDLi4KGH7LjjNydNfvOGW/5+8z9ufuKpx3PT33pz8vjxDz719DMvvvTKKy+/AjJ67NhRt9508RUXH3vKcfsPO+DMC856+4O3ax18ThUpkqEoRzKqABQMDySTpQdF+c2yxoSaKQ57EDJmbh9RKtoowjAGCkEoBi0JrdIekFawEMTF+4eI5bi0ZAVklWRGLUlVzWrsa1JKqgqoNcyKq0IkWWUpWVUllOuVqmRmuChSY0gpSIPBRnnmlLF3ziuRwFkySWp517JXXn8Fnc/CwE0G5mYGOBLOF1Ll9OSYPefsjmXYumiVxZ1DAEWtvC4EKBFapWj0UGMmI1OySClmMYxLTCgEhjeLnuK/kCEqPmIyQgXXowwYHkae87vvvhNfqEGGVAQaOHAgp1rImg4bTjjC3oxYRWvl5AsWL+Qn38XLF3Z2L4sChEVchntywV/YE9tJmrArLUEGbrTJ2HvHjv7vfff+5x7gvn/fAz76rvvu++99o+8aff/d94++539w/71j7r/3/vvvuX/03aNH3zPm1ptvM3asZlYpVVbjZpGZkpfZLKW4EguAgMwBlQxcMgUvybidFcNi4iLtSD8WqMINzUC4LAXTGNinYFhsH2fMVDEnRyNAkskAxbCYxBwcE3MlUvXsOZeMinwFZlCkWPYp084W1LzeUbX1rX/w8dRzLzpn6Iiht91x69x581A2XJEzmOgzjce/Gl3dkyZN+vuovx1z4jGDhw+5/T+3L+1eWtWrSM5IGkCZQ6z/ZwQXBVyhEqmGnFcolthPFrHPmTDEBHqYJXqogTg+WISIOlAHKQBHMYqQKbqMbrBQJB68KEZFMYiClMZAAYrUiK/WwCuG4CGKwwq6Eno8yzGS8+1GKLiHnAkIjHApjMERw7SiXWz5HA3bCM8uEbhAiCWYuLSyYBS4J+sZwSAqC3LmEOBEMVocZVZRh7PLLbwcHXEuhNA05sFxN948avr0D9n3L235tQtOvPTE4ad+fpMv9m9f1bwSH2d4p5xqnA8gvNDLZubVyx1Gdl6c4iFjrhRxlJlFIlUlsw3X2fj0Y89arWONJYuWjb5/zHEnnjD0kIMuufyyiRPf8u70s+/9Yq9d9xYvoWIkXFREpCMuk5nk/Balypq0tLUBCR34klGSzIjDU6y96thgrY13/8Gel5919a9+ulffXv0WL13ywsvP//6qy+cumGdJqeLRlx2XdDrx6ofrVilyVkvZ8GRiEMCt1SgpocunSzOTJUcqmVWSDKAPYrjhAn/w3Hlew4ICDX0vaaMtxKpb7d1X3pvy+ge8bKATPL5HdR5+cTgIGoquMJQgcSLJjGcHrRbOpJZQTctbbr/F9j/+2vY//OrXf/iVr/3oy1+N+Stf++FXt//Rl7f/yVe2/9FXd/zh17b9+lZWlb0ydgfrjLeWj4gVNcHgQOGWaE4wwGTe5Q/f9YR11pKiCSmFeUOdm2634Xbf2CZHzk5qwiUG9CA7bptdeeni5XiEn/mstcm6FdHj9cm7Gs31N1o/J4ptcnDkaem8pWo472m829Nyu//W8Y0lqOaGutfYeJWddt3BIwqp4CzC9PTWyZO8jfCxeVCSAe4pVpmp3qfeZ+0+/dbpz2fCVddeBVh9ndVWX2/11dZdfY1111h93dVXXx9YbdX1V1ttg1VXW68Fq6223mq9+/WqqkQwk4klAogDHTGhRZ0sMJg5M+TmIo+SS0oVf3GMzC0JCAchlvHAKXnixyk+O5TnjLDR3ZQilmKYK1e1KiXsESqbwlYszhFBDLcYeyBhQtlmgbQuax0SQw6XMGFr3I/OUa6nVye99vKr/897CP/nnXdOnf5hW+82q4QvSsB5ABlmrRzEJeP5C+bPmjt75uyZ8xYuQKfhjTnz5zz1wlPnXXz+jt/55i/3/NWd/77zo48+5NWOFCTsAdWiKs4SOeGPIGphOee58+a+8urLf/zzH7/zk+/s+qvdHn7iEe74VFXoUUuKBU90uWwGIQNkZYAWPw6FohRUxFOMFrP00D0kStyOnB3MVFTDJZ5zCFQIuuQqo2dRz7GTs4lFBYGTUVEqEwzB4FnVigiToMySk0yIwXh0YYYiOBD5xN6FFGMyEzss4QJWBGNB2zlktB2MxE0xUMEBZ5HmmGceUHARwUGEGk6ICwfcWCQmVzaGC1suAIpZIoKZjMGzVLJQcJgiXwgJnJVa8OpIKxfKGZ5iEJfFucgyjESbqYBlZfNCYsI+zr7LsXXsjEMVdopSAuGuyPHhZkn3oo8XTZ++cNqHiz74cNHUDxdP/WjRtOmLPpyxeNrHC6fPWDj9k4UzZi765NNFHzPPWvrp7KWzF3YuEncvN0+VOEJk2PKaklWVgZMhkYkIZDWz4nyDU5gaIrKcbsL07PEgyk2SFfVymRsps0uAy0kXplyQIZAxpKgQxNVEZCGlQNigYiAqIBQVA5coOG+C21NH3/Z+AR39+vQK6NvRt1+fVfr17t+Cvr379+3TD+jTp2/vjt4d9d7ttY62eltbrw6v6eKrL97pR9+65A+XPv3cMx9P/6TebN98wOY/+OIP9v3u/of+7PAjfnHEiF0P3ffb+/3w89/fYu0t6l21WR/Peumll//4lz9+b9fvnXr2yOV5OU8d7tlMjyiplZtDyHJJFkEuVXlqinIAb9I46qFBIMwpNEOQjLNBYey3I3I3OYoBsOiyK0WI5DRAWBWK4yCzAphLKo9QaG92N4458rjXXnjt9edefePZV197+uXXnnrljhtv32LTzaTIJoUuX7Ftfs9/75n48sSJL02c+MLrb7z42usvvHrkb48S4TgAJOEeJYlRVo9U4hWYDQeaDp7dzfTGmxOnTf8Qvc/C5z63La7EWwhFrpwgiuOQgHCUsrAPt5SQBdIMW9eAtdd7ZNyEN1+c9OaLb7z5ypuHDjuMXZPockXaHbW2B+5/4JXnX33t2VeAn37/x4nzKsPWRCI4MnDRf1xKJstqjchTyplcHL6i4ZaxmTt3Dj/KdXZ3ektRId188y0ozR01UbaZER0QbVEMOLEglIYeMnTLL2615Ze2OuzYwz6d+am5FVF2LHGhcOIlLub6zECv0ezOylhYSjz1q/Zara1eq9dqbVXVVoHAZK611eod9XpHW1tAe0ev9t59em240UbuK9y5Ntpw45eefvGlp158+emXXnrmxReffWH82Id+8IMf5YhfTpKsSmnk8ac8+/BTLz72wktPvPjS4y+9+NhLJx9zSnd3TvR4hTPW4rl4pwzKLCilmawMZ8YkMSyttfpal59/+cuPvwS89FjMT094aqftd8IPprJYcXPsUce88uTLLz/16stPvvLyky+98PgLo/58o+WQlhwLUibOVwSkKcnqbVVHv169V+29YNnCf9x956/2/tVO3/kmb1bfmvxWo6v1LTz73vKCMf4wjZZCgDWazRmfzHjokYeOPO7I7+/6g9v+fXvVq6q315Qks5UQmCUzk2T8kW6kjgMAGnVTGagUodxkVkEGe8XBSFGJwUGqeI1qyblXFI7ERsTKu0yJGyK0AzEsAEfbC46/QGIbXHBRKt1HqYAzm6EaCHgLgiHUjQw54WYoJEnGXyQjhiNgkZtZrBJPIIVWUODEBEhAvIhnCy5Xy6r1TCgxYyo3SSCRHj3PxA1oGSFAH1+YgygweOjCCHCtVIxPDC1L8kKWc3PO3FnLOpfWrH7cISf+7pRLtxn4+eQ19kiVpYp8e7ac5yKFUBXOLDLGP8njOVWypieSKk8XMzScQAa/yrbFBltfcublO31pl3VXXb9/+yq8DV6lz+qD1t9q+D6HD9lzWMrxv5VEJoq0eMnj2RGeYyebxtY5fiNOcpEM+8rJo+/FInjU4dwhppRybdWONQbvfvDvRl4+cP1BLi1etmTx4kW449WbpMxIMHoJx/ABKseHeyRB3xwlN5Vh4MrNjKi1WRkrniEemZGsQZJQplCh6tCCRXbMThOglHGKwIVGSlVjmY+9Y3yH9Qqex0i9bM0N18y8iik+vhLDzGQYxDmibjFcje4GoUlVIaPbOecmVTcaSJga3c0eaORGw5tNbkfnQ0vms4zzpoLwjm+ZmZRl/LmMHiSG8Vna2OwEGx4hQF5/atKs9+fWjK+YgufCPqc+/sshP2l6g9QFGweoQgQohgk+3VG5yKOsIcZDN8+/3GxmzxxR/DVE3XxkqVt9zL8enD1trlki+c60bN+j9nCqDOOWrbBQDFYzSgBKLFJI9MQJGFe2+J+7vfav122x7VZbbLvlFp/bctA2m2+2zeaDth606Vabbsq8dZm32mzTrQYN2hrRFptvs+Xmn9sS/S233Xqn7+zy7PPPmYxQxkwoMBy3EPKJJiVPZiaOt1lVmSX+mCuzmpbzYbOxZGHXovlLFyztXKYyqIE1e168eOGCJfMXL1+wpHMRsGDxvCXLFhtuEcdMJC1eumj+ovkLly2Yv3R+t3cTKIRRo7k5q6jZBUIWEoczl+6A0NMmjaFHDsqNg9QVPwaYavU0c96nt//ztiVL/88/IJT0wssvfGX7L994642duSuVf5YQHnP24giF/wE8IwKL4qSbXf+3v27++S1++otdL7784jcmvbFs+bIGu55zMzNIQqa02cDNrvn9NU8/8uThww/fZOOB/fr2EyVIVkBsnYR2V3fXI08+9uv99zjzvDMXR5JRESmg0AL05SZqFxUXF4HI6ItHrCIqWh63ZSha4q5xxyx8gIQO+8dxhOhh4w1HkU9I2U1EwUOcs5kpmxPFWyETniJI6LuYCxus5TM8Oc0hrsrAFmfhUkWTGC6L3YGdjQlwRzdzxQrdRABpHvLCw8Kb2PY4QdUwKqLAsbFIoGS2ohkExY8w4RL6qKCInRghFf4pEL9QSImJy3AChixcIgzthJgVCg2JMyJ8SXEYnDyFBJWoEV8QqIQj+B4hWE2xL9lyaQ7K2cwUJ7TEyWo21V5rJ8qLk1488w+nn3T18Sf/4cST/nDSyX848cSrTwi48sTjrzzu+CuOO/b3xx51+dFHXXbkkZcecdTFRx190dF3jr2Tamp8rK/VLGcp84Q0M5F4YpbVaqmCJmvnvJGkO7ia2Zu5yYBJbksbi2ct++SjRVM/WfrxwuaCJl8PxXd9FG1isOJahOIgWLyywMnKpb1S1G2GCAbOqZzD4DKzZDKhZbICoGqpu5OP5+6cm85zvNnVLJAbIHE7NRuN3Gw6wMYC8qQqWd3Uppcmvrjn4D0vu+bypcuWrtZr9a9s9tVhuw278IjfnTb0rAN+OuTHO+z2re2+tcM23/zmdjv/eIddD9ht6ClDTzv/txcN+cnQLw380modqy1bvPTqa6/e5QffHjN+7MJFizz6JqNxtCZKKVWQpthWJ20S5lRkuTv1UEIcycqq4Icugibtapp1AAAQAElEQVTNT+jCcl5wsUw4yJw+50oZArvwX1CYcjOTEm1GO7uSo5TdpGQMnPbt6L3BgA03Wm/jjTbcZJONN9104MD11l8/JeLKJAKgyINl4w03HrjxwE033ARko/U33niDgav0708E4zmdULEU6jinCEpg9zi9LpJrKmdvRp9pc3PMA2NmzZqJHmAyAOSjGR/NWzCHB2lVhauojypwkD1wLrwaimLyyF5mlrINWH3A+muvv8E6G2y0wUb9+vYNpjDJWFRVNWiTTQdtMGjTDQdtssHA3r36VKnCvAXhS1RHR50B6fSCKE62mRGHoRmb1swqWSR+6Z309ptvvPG6ydDvAbP33n9vaddSHu/cbTDxBuRIQysVSUxlLO/qXNK5FFjW3ZnDMcXQI/bHcGrFoAeLJWwsprimfjht5+/svPP3d97l+7vs8r1dvvWdXb713W/t9O2ddvr2t3ba+Zs77rzjN3fe8Rvf+sY3dtphhx132H6Hr23/ja9/7Rtf/coOX/3SV790y803eXcjN4hJybKsLTfbYqvNt9gq5i233HSLzTfdrF5vJ3OKpgc00VJt4w023nrQVpvRwHU32XjAxkD/jlUa3Q0UIqGVF30reJZbaZaUTDKXxUjJLJmsSlWValW1xmprbLL+JptusMnADTfddMNNNx+4Rf8+/ZAHYCKGbbT+RpsN3IzzNpCDt+Emm244aL11NsxsBkJZTOVydtqdsNFLKbWlK/90xcBtNt1sm0EHHzps7PgHuPXYTZNypFNspPb2jt1+sOuxhx3zuS237ejoRdVk3iODcDWazbfemXzY0Ydt++Vtr7r2qrnz5xCT0ngvTlESETmdbgwhkVoTmchMtCNE7iASpOJouDeDo7BmEnyP9EHwLHEMhGOhjEjc0USBMq4VEHgKdiA5zI0zSspGrLBSDhc8UjjNODdEYYsJlGQWhq0wHiY9aoLlnskj1HLsohtDniSTWbYQSEqRGNqgtDyZiSI9/HuMlgRdCFQQkE/oCDsuOQRi9EyfHUFxASpiHKMDbjFi5QoD412Xm0XYomBGakRzU6qs/qXtvmYkjTyZKtF4MzHQMs98KEGVxDkTpX1JmfwDQigso0KpyoY9drDFo5u923CtTY4fcfLJvz1t2N6HDt5j2BGDjzn96LN3+94v2lIHCuGtdAHEDIeunAxwmUEqe6SrzAxpuCYlT8YQFI8mEzGtIunQ2WSDQRsM4AsSjy2KLFxmxm9bNMAc1HkD5rhy0Vom9BSD82ESCtYyBcWf55wUwx11wSSh6AVmLtIyjNQaZknwCoETBMYQ+Ro/G95365hlc7tgFBXr9u4NPr/u53bcMmce+qIi7IgschOmXGU2azQaCoGQAMF1r6qa0zL2o5lByEbFL2lGqzIpFjC4K0FuxTom/AuvZiStYJCmy5Itmr34tScmdS3sNiiPEuW5mbp2PeAHfdfqk9kzhT7e8Y0ckFDxVEvtvdvcuZW88vTRu9M7l3XLGN5Wq099e5oa7p5JjXc2vfqy+55SNX3Kxw/f+2RHrbdZalhj5912XH/QOo1mAz1RjOLeIgQ3UqbbOA+uI8kgzvEgISgIWaSRFyxcMHXqtPenTvtg2rRpH02bNj3gw+kffgj+0YdwPvxoauAffjB12gcfAFPff/+D9957f8q0Dz9Y3rUcty0gBqlGjyiPIuLIOGFK1e4Eg6NYRWKVffTxhxdccsGII0eMOGLEMScc8+ijj2C3EubMnXPFH6848oQjjzjpqCNOPvKIk4/67YlHjnlwLB5X6oD86do/DR0xdOiIIYOH7//sC09XVWUEEqXRg8CIXjhGeiIbtYabkQ0KzlK00ecgAEqV5dQcdcuoCY8+DLdl8Nl5ybIlp5556qVXXvrJnI/5xEgIdinzFi+6vVIR56Ldyri3GK5evXvTK4dFJu6Zv4K4s1ifjr4/+cFP/3DZ1fvvsd+2m2172QWX3feve087ceQPvvP9tdZYS5y3Ht8EbJWTOzraNxs0qE+v3s6DQ/AlXHGFtonazLgdMaVOgwGnPAoMV3EJqZR5OMGQ5xwL6rHIQDye0RK6mBoh4vIIYiaBZGy9yLMrIQCKwHLk0yQZtOCEE2QuhTamEEWIOHt4C4dEkELBzXMiJoSXECGx0AtVNIzsWm4TjyqkeHb4iuH4IhnkRAmue7AUmsFEXNTwLBmUwzXj5mHNYoJwbEGRxhyMXMLADvVYWJFRjKHcwqgpu+eV0hYS8nLFJKShDB4OLPaIesGNK7yRAOCOKASFWxgtU9SA3NX48fd+/IVtvrD1FlttMnDjqs6vKN2r9u+//lrrbbjW+huuvd6G62y4Ie9Z19mAGdhgwPqqrFk11t9k3W232/oLX9zuW9/81hqrre7hnqgep8GiXMJGTuBsgSn+Il8UUXXBN2tY4/057//r8X/97qaLzv7LGRf8/Zwbx/z9jQ9fUy3zJjXxvVPicHmxtbAuV2Y2sa9G8RYlcTcYgVF0rRgIqI9OMoMHmzawOClIxE8VmSkl9r5MlVKAwahq1gJySLXEe7WqIy33rjvuuuPIE4946rmnVuu16rc+v8shPx9+2K+O2PkL312zz1p1a6tQrSer1ao2vvaut/VqY/Tp6D1g9fW++/UfHPab3x6867CdPrcLypMnTz7sqMPuGX1Ps9ngXV0i8Ip6SI+dZ5ZkUarMzTKnrNwMFMjRiBKiKChZEoNWJGOABlCEy8Iybih84wOpcZJoCRulkOKU9qWwDTrBM7oRikIQgSKDMEqp0Wx2dnXBh+UsUkd7e61WoQ1pSiREXs0Mg5xl/CmGE75EJLI3LbfKw2kzK+NMr7/5+riHxi1bvlw9JvgDdO2frzvq+KNfeuOlzOenchh4Q0VPcJBzNpEiLoFQJjQMMxkjXtpLNZaWL19OM7McIGZVVdFtcsJBsMA4PiENSpDhrbgGVxDhmpjuOTcbzcx743gDEJnLtKxz+cOPTuBFzUONFALAz7vwvPMuOn/6rOkcBjIiLzcmEzaKgQ4QWFzwYylX9EvOs4fgOCVrD1soxDgpHloUs7HNaMtWuMjuPBzCiipavuQMKNQD5QLQMFVRYVhko6dAIzez56xmtze7m13LGwsXLITtjoUx1eu19vZ2WpYbOXc7XzA3G97EBg2tSEFlEK2AcRyscCKYeeAJunU/isSTOHeWkkU6hrqb5Zy7m7xPwwW6AWB9ePmjFDA3sYMkFHGFjYXK/y5UWhxU4C5YsODjT2c0mo0IhTrV4IeWgIjdt9VXXWPYAcMuO++y8087746/33bsocd+/ctf79O7D7YA3mLGBKdmUz+a9qe//OmFl54PikzMiOIgCtdCTa1R7FpSajc5O8OsHrVsbmY9b2FBQj3c2ApEMVwm1AgR+YIWJtULnFihbZJWOGZ1qyrDMUEDDDHmziJGhJAgQBwEH4rBg4AFDnMAGLlzEMNeoFxYIcIT/ko6UFKSTIrLLBAsg1CMoGMVHOwgUTGGYqxc3ZD8z6MKCStcxQUDKkxaSsGLyoOzYnVDCwiZwMXEaRL5GajxjGI1Bt2hRcnoFcbsSuZyWRQpd5VhMSOOFsLijs+0ytSkUc49AqHcVM3bBq6/2U5f3+V73/zhV7f9+hr9Vudtd5hhTpcyqmgyZydBnBXzePYh9aJEJM5CaBEcIhFLlUU+pBR5Z3AgpVTn2ydDpHBGvmEFahIQhBgoUDiPdgqEBAiKb8lRMy4pdIIGAzfRDQRAoSRTGfGGx1sYrGBymczKuTXVarX3Xn//1ccmdlQdsNHMyp1p+bd/9c1cz1GWjMqdBnhrLTc+DQpta3R1S2DkCpCTQdbbqhaP72DqVa2WqsoSMpVB21jN0OTgyRiUJdyCRStY4CahEBcLEPZZk1+a8tHbH/P6brC4TE1vbvnlQV/77pfNrKpqVapATPQr4phk5ar3qq+93hotFrvwyZSZz4x5vnNRd8q1d19974WHX6b8KsWP3damtTZYmxferqVdY+58sJbb4LNRG2w24Fu7fqPh3ThxRoSQaC3Hgu0lcWI5igBtk2TKFIWqZ0aj6RlTZR66uZk5eQ6JvYSm/j9HS/r/KRJhSCGKC3mrSmaT0TkjsLH1Joo10/yFCx578vF7R9937+h7x44bO3XqVH1m8JvP0889c9+40aNXwH1j7n1/6nufUTHwV19/dfyE8Q8/8ciTzz09c9anVZ1mp9gXIW2lWmbKisa4kR9ghUkSFtxCWciSpbZq4fJFl155+VV/vLrR4CARBCUARComGC9YtPC6v113+vlnvvfh+6leNd2bpZNioMMc2xBL60qcgRQ3WsQrFx4BpCbraO+10w47XXjWhVf97spvbb9T7s6N7kbXku6NB2x0xCFH/PHya664+Ioh+w1Zf8B6JEh1LTBLgwYO+uqXv4YHOVHL5pU6RI1xb5KpMuGQiMWCxxVs6ABQMwuMK9biKHAkkpnJsAwuKGFkGQaAULDMTMlkYhDbBA2KDQgB5XBAgxEnQG4hNoYsSYCZBSuulUgQkWl4KLgVN0UTVI6/uJCVvTWXgatnbq3BCQcmM1MZvgKBhYvwExwHR8PMCr81RW5g+A+xQE2hl8wApGYthmRuMh5fFkMxGaQk2OViksrETWKmMnwFkiMPWPAJhTcVVd6ylZaJURCExhWNgcU52e0nu/3hkquvufSakceNXGP1NSur7fKlbw/Z9aAhux580E+HHbzrwcN2Gw4cstvw4T8fcfAvhq/aZ1XeZB8+4tBr/nDNH6/8wzFHHt1Rj//xWzPDYQGPwmJXRAWJA1ellCrWgJRSNNQ95Q/mvH/7A7eMf2HsjPkzljaXzV4y++k3nhw1+oZX3n+p6kipnmrcjKFePJuVikppElQ0UozCxyd1MbvBQhT9CJQvnVvtL7xyjHG5ZNniWfNnzVk4Z86COXMXzp0zf86c+WVeMHdOkLNnz58DzJw3c/qnH016Z+K4CePOvODMcy4+57333996o232+9EBB/5o8HabfKlvrV+NR0Z7NWfZrNc+ePWRVx4a/fRddz3+77uf/M/4F8e9MuWlTxd8oppqVVu/jlW/sOXX9v3xgQf+ZOiXB31p4ZwFH300zT3/+Ic/pCUyeiORsMsYKoOKuPnMC6OkHkJE6JlTkDsLSBSbY0UWi8fIhYB0i6Y5mGSKUToCDYUDHMEEZ+ZgAOhi1FLmg0uSWaO7e/nyZSgV2wjY0btXrVbHntzJwzmW4QARWviMHGCgoMIIXGYyEMSxJi3uXHTrnbdOfHMizCR4SEOHxXO+6567jz3xuPvG3cf3pELMq3FYepMfZFUGmZa4BBMHCwcyMlGKCUdLly3LvJcOXVyqxmD7lR3vvH7FMzdk9GIlQOOVdsIBt+KTqpwiob3FhpFTzSa+M+nOu/5FPib0LAar1N3d9cfr/nj6uWdMfHdSrXcNTUtCKvR6HAiygP43uI0JHMfYTaYAKqGklo1ZcLRyGN0o+ZRNAUMNXsgL5hmd6QAAEABJREFUh9PTYq40QyGkPVcJ1MLRy3QFh+TAV838TNX0RnfXokULcAUbNdTb2+odHR2ih5VZJVWyZBZvhipLVehYDCmBYwiYZFwxG5WkBAmjFGiMSInFTEKCNCUza/LVY5MkyKsHJPXu28dJkgzZP49ddIQYmuIPjf8BAjy7iCOrVTUIhNBAD2KsVq+1fXunnS+76PIzTjlj44025mYctMmgkSeMvPriq0YeM/JrX/wqb24lo/ZoAvHCkQ8YMGC7bbcrlMu4R1ABLBQVI8LGGkaKkC6ZxAWiGLjEskcejJbAUEFk5VjDNi5uyZjL5TID6JOKuUkiOYMvBmQLSMChAwzlYLoxYBgGLGKTLFYrc2Bc9I05OJgDEORIBStwYQ2ORlLPSBCgtEMy4wRTsXoGqj1YSRfc40ZCd4XEETgxELX8gPQ4cFKUIUfsrRxIlnLdQslaCxqKC1EsYpAEGmaGrfHRJd5d5czZcaYcFLc+qOM1zlF2/prwLd5kZyHKzBHSPd6cOWQjiwcPIowwhM2jJYPF/jQl3tdkYosJgI8575qjXOrBg+UM8JJkyDN8Kglbb6rFwRTfoqzsKkyTPBujklVeq6d6W92UUjRGdE2RMDoeDlzm6hnUga2ZLONOMoBLKzTITZIxFAO7SNhU/owTjaIJEpSNBi1pxFZ7OHE3Q2rdS7ofuefJWu4wg6bVWp6Xb/+jL2+8xYY4hCUziwRpVM7K4ApSIGbW3RVvkcGTGSw3yayto71er3ct7npv4gevP/76xKcmTZs8rbG0ATMZw4UHyoqVOuXilSH4ZshFS1AgSbgyITChYZ0Lup4Z+4J1GTd5on4rWsk6OvpM+M9jD93x2LPjXvxo8gxrJp4X6OBMsUMyU68+bYM+v4lqIkNMm8vyo/95+vpzb772zFH//tPoxTOX1ayeQrmx+RcG9V+zb5XSy4+/NuPtT9uszczqvWo77brDKmv3aXqWIrAHIgjFoJJoKGdEDs5Eu+K/1Q7KGcpYxndP4AFyFBSqxZwQsYbncB649SBmPYhCyhQkPIshGslltCRILlGEQSqqSULZFA0tQWUor4TQXkEgBv0sB/IzsCLTlSw8VUXdrHhNZiCxm6RkgsfkwaPd7ka7AhEo+1LvqOUqP/T4Q8MOP+TKq69ctHihegaBgBaBgczwo4WLFv3nrv8cfPiw519+pmqLskImITNjEmOjDTb+/DbbfWGb7TbdaGB7W3tbW10hL1dMqb3e/sPv/PBPl//xuiuuPXCvA9dabZ1mV459aXjm9aorNzubA1Yf8Iuf/OK808+987Z/nXLCKQM3GshZqlJVr9W+sO12W22xVeYmUKYaTqDKcOcoB0YeQGC+ogSPDngPVyA99w89KirOwCBwVCNLKITMpUg3BoQISMW00UzGQMpGSya0wYzbRZUSJJDgx6aDSobMVAbu5CpEoGqhFqo95biBmKNirdTkrp4Bs2XgZSGq90hIzQJ34WqlAYijYJEaKwskgI4sGFzWQgyhmcEIpEdqluLr+eByASEmtUhRggYEkZIkYzBJieMVSLKYRZaUYCiAho4kEgglVnCkih4aJM83cAncZcw0gc2NQuJOd/v8577wlS9+bavNtm6rtyfZOqsM2GK9LTcbsMWgdbfYdMCggQMGbTJgs4HrDRq07qDN1t+8vdZRS7VBm272pW2/sN3Wn1+172o5u5RURnHfEyRVZlVaAVYZJaVUNKivMy+d8MKDb340iVefoQcMueXvt5549AnrrLX2x3M/uuWeGxZ1LqxqqcIci/DsMpZy4SFyb5FuvMbQDofsAZRgBBFMNryJeo6OBI11Izev+tNVex24128OKLD/nr85cM89D9xjjwP3BPY8cM89B/9mz8F77jF4z98M3mufg/cZ+tuhx516zE2337hw/uIdttlx8E+Gbr/ljv3q/UmwUXW9+v7Lf/rXH6+47bK/3vPn28bd/K+H//mfR//170fu5GPk3+75y+9vu+zKWy599JWHljQXV/Vqlb6rbb/NjgfuetAPt/9Jn1pfU5o0aWKj2ZXitdOiiRy5SJMTLacMbg6V4SSOADBUYm/FqQoLwXPag4IYYcSNhQY8eXSjTMFADNCOmJF4cZ9MxgXP3PEYTA4/ncOQ530OYnnn8mXLljlKOCKG5d59etXrlYhCOGPlNGEKiCOBjT47nGx7aGMkS3Vr69f299v+/o9//aOrqwsHgk9tOI+0g9FsNF586cXjR55wzfXXWLupaiWsJl/qqWe4F8TI1WmNGW54eEnJsnvk7PCNrNGr1ds4kPC95Fcm2ELMYsbqVktASwQdfLVWFtqDJ0KSf1qal5553llTP5xqSLAF0G4BuPvo+0efcuapL056qepFwa0me9E1tGhwmWPiArLnpuecI2FHpacoiyHsAFD9fw7v4VKZwFsAL2HEQtYqItwWkskzWnAzmQBxJzXN+Nqe144Gd4x1dzcWLFyAA6ObMpO1d/SKz1qgcKpkeK8sbtQqRQSZymhtREqp1lbV2uvcy+AYmaFQNC2BAYmHczAVptAmM1OyZV2d3c0u8gO0wnXfPn2bOQZvTkm4AMViI1lLUQyTTMaQSQkFVRUHNRCUVoIpbT5w8/NPP+8Pl13Tq63j6uuuOvt3Z5950ZlnXXTmBZecv87aA4btf/Cfr/jzRWddxIuvwpdKIrlK1Ze+8KX1198QV7AtjryZQPmMLzMKFAPEYsiQqcyc7bIJihHp02VOGvcd2xA7Dh82cyTbWrAB8WIPUlJwZpxmLjnNdmvVqRCIXjg5eSuuVLYZ+9AWw+PlHmmL9tYiedEvk0IbvrHiCTKANPHPbQ6BhDeKpjISNTh42LonGgJBRsYoMrSMOkz8GUP4kSzuUActEH7drOByQ5xLfSCeBA0SGYSBBYkqNHljIgY8QMYgCQXOk4n3p43Ultp6pXqvWlvvWlufekefenuftrY+tfa+Bfq3d/Rv6+jX1ivmWnv/Wke/gPZ+tbZ+9Xq/Wnu/Ck6vvvXQ751wUutdq/eu1/DZUdV6VXiu96nVe6Va76rqqOpArwqdHlHvqt6XuLW2vlW9X6r3rQjRvkqtoz9IwnmQ/VOvVeq9+teC36/q1b/e0betnYgks0pb71Xbe6/W3mf1Xn1X693eUTdrFWeUl3PsD2em1QSTzJjoiqLhGTZ3WuFo5YCEz5wwhOvhQ9jRUrG62BmJDXZmdGI7FEc0e3hEPyv+wVE91V55/I2ZU+bUOPnYi4ya9X72q2E/42RDYYvP8MJxwDNOZB7bmSTjj89apuC6CGKyqqZq3tSFN15w2wXDfv/XM2694/J7br/0rmtPvvHswRffdMFti2ctqdXaFB7xzZnBrphTLQ5g4E3cgiYiOrVDm5K1tbU/cf8z86YvTIpHAkcLe1cmvdeenPjIHU89+o+n7/3z+GtO+ds5wy559oEXO2q94pmllMiSY1nXFl8etO6gtZr8rCRYVV5qcz9YPGvKvM45zaQakbO8q979m0N3d8+zp8955fHXfSk58XLVPehLG2391c0zt6KTOmAia2/SZ6f5LoeHC9pIfzAChDbymB0xFo6M0JiGqoSSmcxE8VwgzAAInB6psBKcCrMAi6nlD4zKmAEHIw2zxGd64piMgQB7Irlz0qRW3OByOV5YPgP//5yW0FrLZ2ae4zBbEVYihAJXXKgaKcVSaPYLXAVPVRo3/oFvfW+XvQ7Ye+z4MUuXL1UZLTvmz2/z+R99/8eVYvdJyYu0q7vrxVde+Omvf/qXUX9peMM5qqLt5lRh+LW/XPvnp8Y/+cQDj1949gVrr7Fmn169Uniwvr37fvNrO1587u9ef+7Vf9/yrz1/tsdG625UpSpsUqIE8gGsMtE3vDVz/z79tt1y25HHnfLI2Alnn3rm6qus0a93v52/uUtbvZ1kAnhIio6TAFXykUCmJAY+QMzwJGYWdx6hPZ0R58PQAsySLIZ6GOGKWnCuYhX3p6JC54BJqAprtMSJong3VSrDmL3JFOeTSJLxx8whUmjiVpxEUwxmjyBMLAFgkhsCLtI1rDlKbqG+8kKGlnusyV3mK0WKLob2ipI4ZnmFAnotzRBiAmEWypGVHH+5NHKlXvzrGCmTPN+SiQtFXkp67EyhjVyhwKFu0g4eawp26Dgn3Xi6qacETxG07BcslR6SMKpuSLDDUSSLfsmLnBypRN9bmxRqkLSyyblvNHlv4xkV85yrWr1W4zlaxbBalVJlKf4Sjylih06z05t8qo//tDXLm5QWHnHgBDRIL7uDVYVxsqqqVTIADp+15i+b/9wbzzVy94H7HHDx+Rf/7Ee7nXrCqSMOHtHR0evjeZ8889qTVhOaycxUJVFV9NJlBINFQ+RiuJvYFmNx7+GwGIUH3czekJoOjXK0k8t8+vTpkyZOenMiP6i8MfGN119/4/U3Jr7++sRXX5v46qsTX3ll4ivMQU567Y233nh7ytsfz/zEs3bYeoehux48cK1B7VWH1ezjxTP+eOfVV93++6feeOKDT9+bs3DW4s4l3NGem/yqvGz5klkLZ02d+d5zk5/5613XnnvtGc9MeiJXjVq9vt4aG+7+nT2++9Xv19U2ZvzYc8872yjQGbJyY1lUI+pyEDaFmoMy9yglq+xmzhgA0Q1qw1RJ+JES28SMtlrDM20rUkcNA2MkE4QYBGFWj4JEi4otzmljCZcXL1m8rLMTs5XQp09vDknOWWw2SWKCAVSGVmvgGQ9IYHkQxFeqWVuv+jLvHHHUiPMvPn/hovhOymRUJXSorhhjmOXZ84yPZ5xx7hkHHLT/0uYyq6PoDbYV/QBUw8ZM4iLzQMTkrkaj/BZHTBeDqb29XqXokudwbR41I2oB6aMz8qzThowY+vSzT4cTkiEvhQQSCk1ugKqeFi5ftOvuP3vqmSe5Vc2sPA9z6JUa8AzOZ8jHn3j00MNGvPXe5KqtIiZZ4QwnLUCnIGayJGN3nTuJ+9rNBG0MtYYJ3CoLygxCsXvG6Kh1tNc7+HmZuQ18BXTU2gH2qK3e3l5vR9RWa2+vtaEGtFVtbTW+phX5lsTot+dmo0FzMwzS9OWdy+bOm2duKBVQ716MDtEmKbPpHKIQsr0qo1VfuGrm/NAjE04646STzjj+rAvO6MpdEqoJOwmPuDDaz7LC2EPOhuTMNnLelnd2qgwvM1P//qtEi2hz2RS5LCUzJtziHBWVhQlwaCKZqXVHqAyTJaWtB251xfmXT7jnweEHDB+00aajbh110e8vvvQPl13+xysu/9MVV1531fyF89vb2jdZb+Ohvxny1INPnTPynLXXWLs4UK3exvebydkn6xkecUkbBedsKUgXiXo2CBOy6I0YmDBLJXOZ2EezWBWDhFtLD8I+0CdaFuaUidChyh0NDoQALbAVUIJCZDfignhroIWtPtuNlpBZZsxmEQIUA2h3XHggyGQMCQULSsr8FYxXhWTZYGf2RLIsVnAvuQkKzBUPMGUUMvYAABAASURBVIed0SxMDD3MjPsHv/CyjD8XL3Yeb0HCDicAQg9DC4TIHt7AhS0LJugGEgEIL6VUwW1694lnHTXi5KGHnjJ4+MkHHnLyAcNO2n/4yQeMOHnICDgjB484dfDw04YcetrQEacOBTns9KHgw08bOjz4B444Df6Q4SOHHDJyyPBTDjzkFObBw5lPBhky4hSgkCcNHnby4OEnDT7kZJADh5104IiTgcEjTjmwwODhp4bmCJyMxNWBw07Z/5CRBwbzNMIddNhpBx12+kGHn3Hw4acHfijMUw86bOTQw04++PCTDx5+4tDhJxx8yLFDBv923wlPPdiMfTSODwesBYkuRovcoytmoocoiQErMKcToM6LsrOpXvZC0U+kFu1ysbWOXhNM4UAKLQMtexOTwVJiTqpSSvM+XjDxqcnN5Vk9W+wN7/zx3t+raubxeAi/mFfi5ZL3EFWVKt7JG25TBDGJtx0qDk2WgOxVs3b7Ff99/7mPejf69LW+fdSnl/r0S6v0afR59+lpFx16xfhbH+5a2p1QT+a8RzQRQjHAYilX+FcCDSa/LcyZOufp0c+3p3a1bgmJqo2+KdW8XlM70JF69a9WrRa1/efq0deee8OC2YtSzSwVA9daG66xyy+/2X+dvs1mM+PerRJHNIUPU1az1s/2O3LPPmv0aXQ3Xnly4idTZlmYeu/VO778nS+092/LuVTOAXWXk3zIIz+ZcMheWvDppSSUmUIQyhTqlapf/OTnt/z5pluuG3XTn2688U83/P2Pf/v7NX//+x/+/rer/wpc/4fr/3r19ddf9Ze/XvUX5uuv/vP1V//lr1f/5W9/+OvlF16y2cBBxFOkrhKQyMlUUUTwJZJNJOhuysnJEoU4HSx0u2+fPqv0X2XV/qus0q9//379+zH69uvXgn79eFbq/44+6K9SRv9VeHDHxdJ/lVUK1Kqa8O1Rtixh6sxEAhQXBZeFxngkVhQxyfTF/d1335701kReXz1GU9bSZUmbbbr5nbfceeO1fx95wqkD1l7XZMIBkojhy7u7L7nisltuvZlNhCH2jaU4N6/4HA1ALVy68PNf3O6f//jHw+MnPP/087ffevtee+zZVqvPmTdrzsI5cxfNnbdozrwlc4H5y+bNXzpvPvjiOfOWwpk3F+nC+fMWzJk3b457PmCfAx5/6NHLLr78a1/9+ieffNIVr2oUlJ28ZAzii8MQG+MxkRIZIEZgXIJiWwKLK8fEFRvkjLijFTogsMNrq6vBK3YcKgQZN8XWW66xzxxBNBBYiyeo4iAev25ZER/9HHEch6i6MENRbAQoWHgmAw5MlvDQdLkVTa0YUJmAMhwGHlsvVzy6McO7ipMcL++uSIY0EnwnhNMuHIUiduRMGESwIAFOD2Q2mQIyKZScFaN1qkgPxRWQ+cDEyZdshWfklOOk6Aw6mQJVyQrHUpP0ee7ige9HFA83R4qHlh6RXfFnIrQp/iTHkcFJMoPDFQ4dCqBD+e3pb7/2/suvfvDSqx+88srUV1+Z+tLLH7z44vsvvfz+S69MeSX+i/+qSjwxc/ZG9qY5z+Zs7Au+iVYA2swqU9RtxCQpk4QWrRJj/uIFyxrLqlT98Ls/qFfxRVVK1de/tj1fJzeUP/z0w5TwIMcp+67AcWDmBotnaGmhgwg2/nBrLQy5Z/dmZjRzM3rhTo1MUjLxVG07dNjw667+0zW/v/qqy6664pIrrrjw95edf8ml51x88ZkXXXT6hRedev5Fp11w4akXXHrWxXv9aq/evfolr31x068O/cUhq/Veo1bVludlT0x84qK/XfDsW881q7zBhuvv+qNdL73w0gfuGvf6c69Nfu2d1154bfy9D11z2TX77rE/Pxj26dt3xtzpf//Xn2+6+2+zFn1CFn3b+u+60y++8flvmVc33XHLbXfenqMIa5K4l5QpnErU08EQRgGUDRq6LksVxdNd58rRpYypxxATTFQxAodWNCUYknEE3JsgAGoo5HCcRXdUziEqcpWBlNeWmbNmd3d3Kbrf4qfeffrxPl7ht+GcAX4SKRKzxJ9kQoYxi7DzcgX2wUfv86Z2h513oGrPOQ6iDG0yaWtr22KzzdcbsB4eXP8bbOXdo+/ia6xJb0/MZS9RbolXmONAXEnOjAjzrkY3nw+jAxYiJvZOHIHWMYzcuFBUXNgUeP7l5x976vHZc2fDNEpQywELDPeUFyxb8MDjD+z6y11ffPkF9zjqyWKkpF4dvXp19FZEE4O0G43Gm5Pf3HOvPV6d/Ioq/BErZqQtMNk5p579n1v+e9ctd5958lkD1loHTmU0gCtZSuG8CsSYLUmU7mRj6Fn64nZfmvHhjKlTpk59d+rUtz+Y9s4H095+f9rkgKnvfPAB5LvTQvTO1GlTAqa+Mw0dND+cMm3IgUNyjq1j9uzMuTQvewxTmj9/4cJFi7K8BUTt07tv745eIgcpJZodDQrSC0uQ4cJj9VfeeOX6UddfN+ovN9x2U8Mb8TygelFCLMQolWADgFrZ2FyeeYSet3Tpiu8rKZVwllZfdTWPG0KcJXg4NHMQieimMiI0CXO8s3JG3Qm20YYbf+PrO/7oez86ZMghV19y1XOPPvvS088PG3xQvz79klEIB4Lym1y5jCY/nPIeqqpSjV/x+Sm/4+hDj5kwesKxhx2zxaAtBm408Fvf2iXjPEqJUlVGDpT4LJmg4uAoesmDmhUO9x2KFI7IKQRwHmiYoKZQK+J4lslN8HFFiXBbVWaP1RAkLrVKZsYiaPRa0CPFFP+FFXaBhGYkgGMW77ECJRqU07cQocqm4zkqXCFlZ5oIhA4sj00IUkoEgnIxBRqJWUEoFKHMpDKBgLqM0iWZxdtlrOSwob1YmUwxnFSw4IkEG5aHmhv6nlAxdOKCE1gsQZo7MZNV66+7/mr9V8uep378/jvTJr89bTIz8O6H774zDXjnnWlT3g3kXeYp02J+LzjvvDvtnSkfvvPuR++8++HbUz6cDP7eR5OnfPT2ex+9895Hb/cg099+f/q7789494MZUz6Y8d4HH0+Z9vH7Uz9+b9onIO9N/XjK+zOmvAdMf/e9gHfen/4OmszAe9Pfe39GgY+mvP/hlPemvQtMmfr2u1PfAaZMfWfKB+++M/Wddz545+0P3pr0/sRJ77/55ntvvPnepElT3pi/aL4pbbrxJqv27s+JYac5a032Q3SEFsR5om80Po6J6J3KoIOs5mYmNANhtVANEsRjx6202B0lhQkXqLsrJAkTMSwGrzhvvvDOJ1NmVsb75hA1cmP9Ldf93PbbNHjdJYPwxWZh2rJhDtwYoDiUGl2NlAxuJIC+WVLV5m118a1a+IwjIEPDVNXV1qvR5/F/PTvm5geXLlgG03nfl527KzKUi9GacMcR8ywTz6ncle8ZNabWqKd4d5dgSkwg4RmLxArHYlSq+tf7f/jyjHv+NmbRnIW1ekpV8JvKn9thy58d9MMNth2gNlx2dnsX0PDludY9YIs1dxvyo62+Osib3Z98MPPlR15TM+EShc2/OnDzLwxqNps8a+Op4YSmO9nkuWyXk7lBJdpMvViBGJijEEqQYrg2Wm/jXX+wG/CzH/7iFz/6xS9//MuAn/xy95/u/suf/vJXBfnVrrvvvuuvf71bgZ/9+tc/3+PXP//1z3f92brrxAcPi+CxKZScIFLcvQRnFyw2O8cU289t5CVbJ/ImG218zBFHX3D2+eeddd45Z55z9hlnn33a2WeedtaZp555xqlnnHXaWbvsvEutxjFAtweGDj7o/HMvuODc8wPOPu+Cs84//6zzmYELz7pg+69/nbaWoKFPG4gXWLloiBmvLi6DRsISO0pLgpZ49Dcju6a3WlNmvH31S1+54c83bLjOhv06+p5w1PEXnn0hnAprTMxkVq/q+/x6r91/vrvhX/9nGGeJbzqlRYsXXvnHK0887YS//v36iy753VHHHX3QiIMOPnzYsCNHDD/q0EOPPeyw4w479JjDDj360EOPOowvjIHAjx5x6NEwW3DooUcfPuLow4YfNWLYbw856oRj/vHPf5x46onDjzrkuZefSyKVePAZ8Z2a3BMNgJBbjMBCVtbYDxDKRxVkBVhLw3jYCQktS1TAzsauysqflE3yJNggzFCKAWWYWKi1pp4MEBYBQg+BkozRwhHig2RVmBG3YHg1EJZgJRxIgqOyL8zg+MEWXEKUFCOTXoICDBXkKUoBZ5GzGvEFAR4KKMroCJxYxYRHDylBnaTFfSQJJRhA4UG74V0rRtjDEUx0glsos0DJiBWQCqN4NDMonrXMoDKETA4Oij/m8rCFoTIC4QqNxLrSi/u6A9YdsNaA7P7oy49ecvPFl97yu0tv/t0lN13EDFxy80UXjbrwkhsuXLhkwcYbbbzWGmvx3PDs3IzOzDMtGsJN4Y5PPEuRVnQdptAxOsQzUeRHVqnOIwxUmj9/gXinjlnWnLlzlnbyBsv5Gt5Jvyh8ZopuJUlFxoojiwtO0QInjWBhTN8DuBmDsBiRravZyF/8/Jd//cs9f/Prvff5zb7773XAAfsOHrLfQQftf8iwwYcMHzpi+EGHDT/o8MOGHf7jH/54/vz5XcuXbb7uZsN+OWyVtlWJMGfJ7P8+9p/r77p2ztLZm2y88cEHDh31l1E3/f2WYUMP+fpXvrbBehussfpq6627/le+/JX99j3gj3/403/+cddpJ5++4447Vh3p0RcnXPePa97+6E0y69fe/1ff2WO7gV+YP2/+9TdcP/GtidQQjcqRMkhUyWtFplC6gwXBKY9q4EjR29IMzIzOmGWwEGFPtRlFFwiQuJkDlwlwN5NxxmBBQ8hyFsNdoEjELpZY7pa9u9H14YfTcBv7LDbUc84pRfRmo2k5XsBCOyt84aJnDUwxTDI23ywvWbr4ur/9+ewLz5760QfwDG9Ylg10S9/99ndv/tvNl190+de/vIP+zyALf/ypx67841XzF8zn6JIoRiCVWeJPJTKZm9wkU0q2ZOmSZfHvC0I3LvmSZUs7uzpJU4VWGZ9BW3Qw8CHDHUEUeEsizZw787hTjz/kt4e8Nuk1+CajC4bUVKs6hg8dPnT/IWuuvgZmbBiAhL69P/WDvfbZ64EJY7tzt+HWIwQiwGTf+Or23/vmd3bZcZdtt/pce1s7Hh2n1KYSGgO5WTKJopIsgRQRR2DuvNk33TrqlttuDrj9lptvvzXgjltv/kdBbr/1ltth3sLn+YLcessdt9xy+623/eO22/95xw033zDlvSnsC/cyb46YwQO4wcjQ/MOPpnXxAVsxjJICXCaz4LSuQFf0HA4kkMRULjFbXMlaI3zEM8kUmCsFAYoP5ogckuanMz9dWH7wDDWSkWq1KiVVFefOTDTBwBwz+lss0WyBsTgXshAsXLRgl112vumGUX/5019OH3n6z3b72Rqrr/7prJkz582et2TevKXz+Kay0d3FZgHYAiCz5s2eu3j2nMWwfQsNAAAQAElEQVRz5iyaM2vBrFnzZvbu3XHkb4+88tIrTj7hxO5G5+LlCyMJdpMgJVQ88niDIBkCSThSak0Wi3KZmUjbnLumxZaKqpIYFneEIv1MM9SSSAiNubCwbqGhRXAI5yiwBBS14CI1LuGQOABezc16FFZ6lmQGs+iiXLodvNBXGUiFUiILpKFMgJa+GJE4KgGlHSBwnWVlI7AJsuUy9Etj6LNgl6u4CzUYADrMBDRjNfKSWRgZroOFK7CAliUYIkCyOMRu3/7mLueedtbRhx51xPAjjjj0yCMPPZL3WL1695LZRutustu3f7nbLrsDP935l7vu/Iuf7vzz3Xb+xa67/PKnu/zip7v8fMuBW/NYkemH3//+sMFDhhwwZMj+Bxy43/4H7LPfAfvsu/8+e++/7z777ROwz9777LvX3vvtve9+++wN7Lv33vvutde+e/1mn9/sue9vmPfa5zcBe8PZa6/99t7ngH33XX/dddnIvr36fneHH+z67V/s9p3dd/vur4GffXf3n3/3Vz/73q9+/r1f7/79X3//mz9cfdU1eIu/1lqrH3vU0UcfceTRRxxz7BHHnHbiyKMPP6ZXRx/2wuNRHCeFp3J0xEhZYrIYYpjLjDXmWL3gsTmB/O8yC2mLRscd2sIlhLRSFlyTpapaNHvJCxNeVjzQZBYHotY7feW7X+i7Wu/Mi0+wBJfLYvSsoWpoQ0rGZy0+kUCbwwPgWQkowQmMTTcUQQOSWdVde+ORN5974CVf8T8z4SQbwrLgTBZuQCxOEY+MN194+4M3ptcs/qtNZOhGu6SVikqycnRhoQBRz/UPXvroufGvNLq5U614UsOaW++w+V5H/fJnh/zwm7/86ud32XLbnTf/2k+32/WgH+w+YrdtdtxSNUtWf2rs8/M+WWiWsjd7rdH+3d13tvgPm90jChHYfIoMEGVSqJcBAgk78kMnCJaQyZvWXN69fNnyZbyqLVnO69jSpcuWQS7rXMp7piXLYwZZClKAl7olS5cCS5ctAa9V9X333mfkSSNPPunkU0485ZQTTjl48EED1htg9VTFJ1CZBZAgKRmXykQKld6f9v6Exx5e1rW8d58+QB9+zOrfr98q/VcFVl11VX7r6t+/rb3drMckrKX29vZ+aPXr378fv2Sht+rqq6wWv2r1X4VfxV5/4/V7Rt/z0SfTU8WW0hhhba1Jzq3nbIe1PJloqhmLKZlipFSphZmsjI72jt1+vNtlF176ha0+31zenTubqdv2/Pke11x+zX5779+rvSOeNW57/nKP4488fpV+q8qFafgql4nXITeYruXLlr34yovjHhw3bvwD4x8q8PCDDz4yYfzD48dNeGDsg2PHjB/TAw+OGQP54Nj7Hxw79sEienBsi1MUghkmD40d89DYByY88PDjD8+aM0tJEZuby0DMIGWiCq7Yb5iBqQwvc5msNbcWRQE0KXhmoW+Kh6RiiUkMMws0o0xpweDqAYMZqKPhIOZwBCGQZGYJ2sUEwywQM8OopeioWjBDCo6RzIJjQokrAAZLawZBCRxQ6Fo0QoywYMEsFZlCGpdFawpSVBC6wKwMMSCYaVrMQkaEUDFRc2ipNSLnohuTt3hlKVueDMsWkxysCAxeD+LGWCE2FV2LOTTjUgxDzcnXTMiYWgslwDFLyaqKJWDtdQaMPGHk4L0Hf3unXVIVf9tttt03t9sJ+MLmX+rTqw9ndZtttjlo8NATjzlhs4GbCVrh0VszZCmP5AkK2vMikMWDl8eFRPkuIbRkaY2+a6y5ypp8fzzqtlHPvvDM/EXznn7+qZtuHzVz9sxKtW0Gbeu4MFwbhiVZcKzDQ2CsCFYCWgarBXDNLAkmqMoJdPJDyq5EXl1djc5lnZ2dfIzq6lze3dXZ6Opsdnc3G9250ZWbXXy8aDaajfvH3f/Ek0+s1mf1fX6874D+60mavWjWXY/+Z+zTo7vV/Y2v7fC7cy467YTTvrDNF72h3O3K9va77zz65GMvvvT8tOnTuhq8gdOAddc9aOiwyy66fPABg3uv2nvi1DduGX3jO9PfSslWD8/7rb/6+m9MfP0f//7H4iWLI2VSza6SLBGDE3Ub5Zg8PvcXzFTqMvFMcpoqiYrNBIOp2CsQCUXj9QIqnIoB37n+f5z9B6BVxdXAj641+5zbgEuXLiJVowIqdlHELoK919hiBQRRFAv2ghWxICj2EnuLij3GqIndmNgLYqP3e+85e9b7rTkXYvJ93/+9/5u79szqbWbv0yQBgwOiykQUB0L7dsEw0OgdK5VKn3/5OapugBC+2UcffvTLL79YNAqPpRjLYMhwkRTXeMSGZPAlngc5hhBESAZSGOqom+y+y+4Xnj15/V4DRgzffcrFVx16wKHFQhUKCZS5TX2bTQdtUu/PSXY3BM2CEAZwcxTEi4IUXLMsW7p01cpVrpLkTAsXLnzt9deydG8pAgULsmbAIn0RTTOVi4gqFIBLsRjn/zrvmWeeXrR4ESwVRTEaH1I4rOHIw47kDjpz3ISxp45Zq8NaKm4plWH2w48/XnDx5DffepM0KrzKrKohyzSEIIGKoIKCiYqoAhr4S2Jfs+YJZkBo8sOcOaefcfqEiWecMfGM8WefMQE4Z8IE4OwJ4GecDX/ChLPOAM5IM5rjJ54xbuL4sWeePmbC2L++9VdKoC5h6yogMMSrVfvnvz5NhDBIW0W++/7bv/7tbW4XDfAEDlclT3EbQQ1ERAICFrd3nqo6KuYrwVQSgo02a2GgfCegsERl7s8/LVnq/3FpkvpUKpce/OODhZqiKveBmUrMo1TuFGbxKK7nl/oURFSjxT8+8scx48aMOX30yWNOOXnMyaeOO/W0M8eOPmvs2Imnjzn79DETx556xqmf/OsfkoYfbZE8zy+54pLTzhxz2lmjR08cPXbiWObTJow5bfyYm2+75bEnHzv19FNuvOWG+YvmCaHIR5uHJFoqgxQFGg0RX1XTbMziA6RZxSku5XLwVSVosyJ2dEzSUGYu7meXiypORIXDIyzCMBFNw1dTlCs1qY9mkaOacBFfhKHqG6Q+HIEjAktEnKWaGqyiCLkUBJ6kwUPJ+FKYyAgRRE1ssiK+c/2iBBKp7O5qX4nvNfCq4TYmETWkzQJ346hyf+EaFcO9pAstSYNTw2rmDGYx5WYK/EbQsUPHQw485OzxE8+dcM4548+ZNGHS4Qcd1qK2TlT7rjPgoD2POHDXww7Y9dADdz30gF0P23+3Q/ff7bD9dz/8wD2OOmTk0UM23KIqq1LVY4899rJLr7j8ksuvuPTKq4DLr7rqyquuumrKVVdOmXLV1VdddfWUKddcffU1zFOuuga4+qprr77m2qunXAsy5cprrgauYL76mquunXLFVVddMeWqK65cf731MtU2LduO2mmfA/Y49IDdD91314P23eXAfXc+cO+dD9hrpwP33ml/kJ232a1Du7Wou0uXLhPHnzXhtPFnnDJu3Emnn/z7k37XbwOeuXRL+fZBM98cb6MaLRLDRNIgf1MXSprorYIpMg4Xs7mUFQ4KiUhvF1wpMYggBsa9ZDANZ66rWqwq/vW5vy2eu7Sg7orAZSt1HdBp/SH9Xc/MvRrov78EgJMSM8NhInCVN5ZVWdFMGwjfKW7omEu5rKWSlBEYfLIXUCEXadC/PPXWop8WBaqOxulwBb8QundNWiLKUWhc3vS3l97XUqYS0n1CLFGFkjyUGmTlSlveEFdELZMeAUxVRQN/Tfruix8s+nlRVsxUxYda2fL6TvUb77DhTgcNHfH7nfc8ZpddDt1hk+EbdejRTlRCyL76+NsP//yPTIoisrK8cs8jdmnfhZ/j8UqyqkFFkXDOmVNAJqEMSM9ceArTdfIA88JSVSH88dGH9jxwzxEH7DnioJEjDxw58qBRIw8ZtefBIx0OGjny4FEjmWGCHDxqz4NGjjpoFMxRB43cE+UD99z/sANm3DHjueefm/0iHyBeeOGl2Xffd+/RJxx95HGHFaoLQembiIqqRscJauKkQL348uzTJ4wbz1dME8+YcPZZZyWYeM5ZZ02aeNaks84696yzJk186eUXy2UaKGvGjJnTJ0wYf8aEcWeeycvP+AlnTjgjvQLxQgXCK9M5F5799t/fzgoZgXgsaBqiHCXuXeqP4CLq7RGLqrIaVEOWFTgLIuJc1Q5t2084fcKUS6YMHDCo1MjTO89LsdxULq8qrdd7Pd5VnH7q6W1btdljp12vmHxZ+9bt0TDhjJk7EB9gHI6MHeDF0GJulkd2AiCOooGE+b/AEP4X679Jt008FUoT0RBUWcRUWamOOpkTUDs8cnEKTBiWVsKnNYLABFxLuZd4+IqL2Ch37WwuMlNNnkU1qADiToWgKirCyoSaOFsxAYHr4eg/TFeCh8TDCKQYhLBXa8yciVR8kJmTSQeer+jRQQeEIqquIO7ELxi84DdXZKulov59pSdkwlhjkTLS9LB3gecpSUgD8G4QKkpgCEfE81RmQMV9CpRfQYM6Cq4BiZiTzjERZ6abE7zCAkkNEc8gYkE9lU4YxxIugGY6TkbehgsRd0kGKRnBkkslMJhgDtt2O34i/sPxJ1QXivU19fvvdNDRI445as+jR22391ptOqv/7DDs4skX777LbrU11bQSv+4ETHyoeo5QkVPqIFY5suUYeVfkKp4KdQbNWte14VNcUYrvvPfOCWOOH7H/7seNPp6P/TzLNuy10Ya9N+R5I2RNyuaWoika2RPE0iAEJRNPqBQdHhcgNLViABcSvoH5poOSLqYxLdHSx4MII/2whpp54+l+pjwBVjWtuuv+uxobm4ZtOnz9tTckmVVNK1959+XXP3x1Vb5yu222u/bK64Ztu0N1sdbvXDqdx1K5adqtN5427rQTRp942NGHHfX7I2+bcevylUsKhdCvT79xo8+YOH5ioSr78sfPn3z9sV8W/xQ0dGvffY+hI0jgkcce/vLrL8jMnwGRlCnVt8W8CKV6NkjonyKC5xSdoCbPWzVStxsLYmkehl5CmxEqNddBmzVZR2hSt0g0w1RVKi+OqS1MDtLU1Pjpp7ztRkHSMOb3P3z/sccfy2NezvNS+qwVcyi2GptKKLQqoNBCwFxEtVAs0mOvQ3zgq7qq+uTjT7zhiuv6rt2vtLJcWlVev896l0y6ePI5F/D5SkWAoGG7rYcevN/B1YVq0aASMsuSH5eax5Q02GqK4rTY4iVLVq1aha2q66hIOS9ffe01OV8SqmhQ5dsxEZXVw8BVaUViaJrxhUdjEaOEkPlQSWqKBocegRywz/7nn31+y5q6dq3bHXvUcVdcekXLujpXEkFLRRl8t9dz7XVU/ntkIXjMIBJEHbhUVEQVvoWogaE+Z5lo0PQVnG+bcQOk8+L9NfUko0+eESkLnApppJ6YKLIPdCtazm4BwnBdF4Pi0UBVQqHw4ccfirgT/KgEEVm2fNmMWTO+/+n7kLEhKiGIqnKJZawiGVBQSgAAEABJREFUKkRyd+5EVg9zCq4qcpicY1iOm0Uetg4EDRokMJWsPGfu9ytXrkB1NXCEZNqt07785quQKe7Ma4gxdcFwhvekitMgpMFKQyzG+PEn/3jq2aef+tPTT//pqaf/5MhTzz75xDNPPv70448/9dhjTz3+6BOP/TLvF2zwAUgar/35taeffeqZPz0NPP0c8zPMTz/31FN/eoovZJ94+smXX3t1yTK+vFYxJTniYRfM3ZAfOElCUBp4M6BkaMNWLlN6hTWooqCilRHYdRU8qQhgkgZFKgJwGAAbhRJIJQ7ODG08gHlQFvE3zhgoF+aCCcDNDmHwOAnM/watOIShuHINUN93BUcowmYpjtFDErgSBFNagAlJi8a0u64S4Zq7Qit5MKRCCtAqgiekkEoJqqJRMUXuIhGJxlFHA2kKpcbzgxBqCAG8JzQqhAg4SGDlbbrx0hNLeWZZbVVdbbFFdVVtTVVNdcG/vDGJhWKhZcuWdS1atmpV37JVfX196/pWbdvUt23Tqg3febepb9OipkUW/B/ruBCNFq1b1dW3atG6vmXrNi1at6lr3bq2vnVdPUibFvVt4LSob9uiDST8+ppWrWrq65OC67Rs3bpl67Yt+f6/bZuWbdq2bl9dXS0hFLNiq1b1rVq1btmqpf9gUNeyrq5lbV2L2tpaMq2uqStW10h6GgfV2mJttVYDtcUagRtNLLXBRCOd590AmPdM6JDQC1/SqojpIrN6x0TAxA+BiAQumOIsVjrJUU6OOJrKVgZRfCkKKqShkKrFQnHR90veeOrtKq02TSmqFFqGzYYPbtmmBZ1Xdj+lx6qq8u+hos2E4lil1MQbdPOcnc89XY6xvCquyutK6w7uMWTngb037d5U3bgqNuDWzyvZiJBVvtReeewvxWIV7vw40w+CGR4q3iJ8IAT5+tPv5n+/uCApfTEPa5JLvkKW9Rzcee9Tdj36/IP2G7PH2gO7NsiqyKlDB0uiaLbi15Wf/PWfGY8cyqQ1GJOrWh6i1oTqVlVVLasKtYVcY05HA+8Ewz3XPxTKBaorx3KfwetsssOgspR5YvMmoLq6ip9f+I2FuapQcH+Wtsh9ppDeHRVmyqGCIAyqCyHMmfPtux/9/d1P3n3/k/fe++S9dz/+u5MfvfvuR+++93EF3n/vY+A95ooOyLsfv//uR+/9/cN3//bB39798L33Pnzv/Q/e55X7vQ/efeeDv735t7/+5W9vZUUN3htVIR4liPoAJzkwWbp86bz5v85fMH/BwgULFs5L84IFixZUEL6/XLhwAS+05Cm/GXxVNm/+PMx+mT/vl3nzfp7/68/zff5l/i+/LHCYt+DXhoZVWKiwc5kIPRXqVhHVzDMSBjmIqQTWIArCtygqfNTPRDMNnTt1Pem4k//62ltnjT6rc5uOmpv3UtFzqyiWl/K2LduMO+X0e2fcfdM1N7VuUR9zzliesg0oSxoETd6VOYlM2Wsw/MnqS0Tl/4fxH0pum2w4mREJIOqHKYijiJSTkzov3HMmGuCJC5vlUZX++DmhCYBUBkxRcoyoGRdZNqcrUOpTek+INicp+rNUPAyOTBUuAFLB3Im4ieBGeA6LCI8YdAWuS82E4YmkhcAIPaDiRHgGgbutqKUCPASXhsrZwppIZkwivsAQia5tggGC5AA2oMYEEMqQiKEpnAGecp5LJThCgIwwd8RcDZKEzVwNJmA4SzT+3BdagBdHHghRUURcKiQsCFVx4+5UyI07wmCIKLJgvASKMrARRPQKvvoQH2o8Dw1WJQO8oIi7ACsYBpQssEzb1NfX1baIooVCsW192/oWrVvVtm5Z27KQZar+L+Nbt6rPQkamrm5mPLSE9zNG0kZeeOG0l/nB26wc+QhheR55b1vKxWNQkDCiGE/pHTYevknfIRqzb+d8/+E/Pvpuzvd8Vde7Y58xR4ytDjU0IkYzHEogTVaMHThAxBZ4KhFnNABQFMTpqOoiY2cEpWAWRUQZ9EA1IgyiuNTKrBZECgZHVUIIGeUBhfD8S899/sUXa6/VY8sNtiqGapx/Pvdfs996bmXTykEbDr535j29uq0jUfMyESyW8xiJki1buuzHn378/rvv//X5v15+9aVzJ0/adItNH370jyEL9S1aHX/UCZMnXYTqR1988NbHbzbkDfwg9rteG/ZfZ8DP835+4I8PZIWMfTKlULxpJABoFAbNiKnbRmu8KHbZaJDrOYkKAopgdjNloCpiaLiu4lZFAAvIAAhzeVpN8eIbi1TSiLCQi/z408/ffv8NLVZ1c3Up3ziWrr3hmp8X/GoIyIMkc+GDF2+IaEbKzPXSBWUR93izUMwKgiMCq0SxTh3WuvqyayafdWG7Fu1iU4655GpNsWV1qxN/f+L1U67v0qmbSGzTqv7icy9q06otbkg/42ks7LGxwVSIH2bKjRIJFqOJyvwF85ctW04ClXYamOgHn3zA22sNqirKCMHZq6/ozaMgUcGfIKcyZmcLrvMsZAxxoSjxxApZ4YiDj7zyoitb8qmbc162umLtAXsf8MTDT9a3bKU4Ei+zc8eOs269fd2evUhvdbTVa9IR3tngNuFKCgSGFA2i5O+bwqtLwfNGEl2NlWa46mpHoqKe1Bpa4OAFHZWUBgUKDAcY+BZRF9EcRAAIGapoOS/9/YP3nJQ0cCwK9uVXX82cNZM3GKJkERMPtmjIEKPPjB9NghC0qlCoriqoiJJFYooEddIUbbFUt5op94VZzo4uXrrom+++MYshBGkeRl2Lli4+/6LzC1WZKqZuLBFDAQMqiiBAjBFPTBbjmnqxquj87zNmqwVGtNX4/7WiA0TFP+VyQKB8O9A3pT7zWo13BhQOD3AFZRgZmYo/dylPwcR13QuS5ImqHATaQIQJNQxhULp4/VzuRbwH7IQyRLFA31uKHw4s5VOLwrfVrViTTzOSi/s1qyRvDEkcXCWEe4kaEyXccR6DuOI+VzODe8CowlcwklT8G4l7IshV3Au7y0YmvwbzNwDq7lRE+ROGP+k9Cr6S0JQ7AN+I8OksNeRRm3k8Cjx5Ve8sM2CevPrMMynGEl+9o2Lx+x+/ee71J19486lnX3/iuT8/+fwbTz3/xpN/+vPjz77+2DPAq0/885tPo3D+skLIhIzz6OepLP59eWPMG2JsBPK8KQKxbDy2ePXKG2PemOercpc2mTVZbDJXKFkZ/ZI0b4coNaxsXPH2e3957a3Zr/71xdf++tIrf33h5beef+WvDi+/9eKLbz771/deX7xkAb3KtBCJD+QxL0dVLUPjQk3UzHc7ClyDJbzS0h1nE8Q4YM5U8yaZJQ1w7xhiiT7B1IQQCmVI12NPcSkSBdeWUFH/C5o35vdc91Bd1iIoN31QDU2xsft6XTbcYv0Y3ROBQlARMcKy0kARVQcuVc1URchdmhpL0Whqie8pS3nTKjrYwrYcuckZ1516xNkH7nncLkdMPOisaaOH7DEo1uTRYhTS47FQyELx47c+La3KlUGOYooEn6IqRA0SuUGE19fvP5u7cvFKgykMY7Ab0joec8Fhx55/5KbDN+4/qPcmwwYffd7BB4weVdOuaBZzMbMYRKuymo//8i8VIrrbYMow2mMipE9dgApDg2RZeO6h2Q0LGjE0i8VWOuro3cv8eJaplWTBnEVvPvP2A9c+MuP8u++96uHXH39r/neL4Lvr5txEcZWcu9dA+8gD384qRd5Ygf9PwOZ/MiscsgTA8cWMNzoYzUcifSKoiiaMxdXpphpPg0p8M2ycXVFZM/8vrDWyZgQV9ms1xCheAkwgmvifaBoh8wRpuKgomydCDsE31On0DE2EqvIEUpGtt9z6jtvu+Pub7372/qdTLr6yc5u1mlY2uc9Mcysta1y2cMWCeUt+/WHeD9/89O0X33/xxddfdO7UeeHiRT/8/P2vC35mszbbdLOdhg3ffpth22+9/XZbDR265TZtWreRTD1+CC3qWtS3atOmvnXr+vrW9cwVaFNfD7Ntu/p27evb8/tY+9bt2rXm2xOHNq1b48FndFq3SXiFvwZv26Z122KxqJIGizICFyeVkyWi/Em6Z33LaRMsl5lVmqISVdJwjvh+JqUKS8WUyiCQYuZyCEElAUJWODwwHBRfFYYo6n6JwAMwVV8M2iQNNOBCGAdfJDKjEtRcakEloCs+omGqTC7KWV2EAiwPC0PFvWHuGuJlYGdK8uqIuAEIAlATFYIZz6iobicWVTQycbRMSIVJxYeauAZqTq2+0NTIcYuIRdIkDBM8sSbA3lBxPPokzgAzo63mw7ngLEHMbZGkQNHUIvqKSeQFTqhDLBNVzQITbH9FIjCG4oxAr9wV5z5kWorl+ct+XbD81wXL/F8sNPJbu0hddYtIPsQhS24cnBDGrX3xfKiKJfKaYkJ53KXReETmEW3WGBOH1wPLrUPLTkfuccyorffu06l/z/brrNd1/X2G7n/OCee2r23vx4PGeDCu3EwVfx7UTISwXJ6zX04bBmpmSDLxgRYpYcQrD0wRzkTQkAnP6KyYLVy68Pufv/vuR+Db7+d++93c78Hn/PjD93O/+/7H75Lom+m33VIMxUF9N+7arhu9XV5aNvut55c1Lu23br/bb76jqlBNf+GrxDynKinnuYqcdvLo6y6/dtKEsw/ca/+N1t+QzwYLFy4eM2b0xEkT5y9ayEP8lONOOni/g8pSfvXdl+f8+i1ZtqppM2T9zauymkeeenR5w3IV1Ri9CGXPQgURC6SvmiEVURWGIgZTk8CemqgfeJogKjQCFbdVYUsi1St68IQV8MRh4AW7wKWYcC6CIiEnzaI7iaJSrMlmv/Qc1YkomyG+C83TkuVLT58wjg/W5MV2YZdhQPKpNSitAROJZvRJTDRkfMXcsX2n/r0H/OGoPzzzx2cO2+9wKSvvWLD2Z2kwVTII0mR777b3zTfcvNmgzaZcOmVdPqhEsxCzDLmKOvjW4zSaOI11pWqB98svv/Llmhg1BcTiPFabetMNKxpWwOXIhOREka2G/r37Dt5wUJvW/m/zvJtYEcOBi0bzVp9PDhpUCoVCvz79J59z4eXnX96qut5yZX+pgrcO5Yby5htvMevWO9fuvk4IhfX6DPjTI3/q1qlrLJdp8OpQzav6cLauzsN4rgSKDEKWQUhaBKEGdkUs52ail8lCSI9LBFN0SVGcY5gA4FioC3FCI2D8G1Dm4KozlErVBBDjwEgI4Z133lqwcD7CioKggQ9XiTPvvP39j94PxYKi53mJBv6SGAPxeKq6To+ew7fbcecddtp+m2EF9ozErJIOC6GMMyMSRHAaOVuA5x3kl19/+de//qma/IgPUPVVXn/z9Wdf+FNgBzx7WCZoMcm/R5KY8hJNzgBx3Zga/60DpupckP9XgE0mCoC4oQZvqxqFRVgA4VIn1CgNNiIUSUqUOy+lmhCOsjMRe9VSkbKHkoYmT2L0BpRuOTckJZcorkSUPyEDYXVpYFcAABAASURBVHihXBVf0JIsFRV8mohoGqySBoowQKlFEHKJMlWYBA6yepgiiNTFuWRWTJFLdH3XCbg3J1BzgYKTCkcmZWmu43Zp5cZRcQVhNNel5CpG/zwQmmaKMCL1DgnSig/mZo/K8HuecP5wEx8YacCz4zhBZMncEATVoMJvWVmWkdo/vvzo5ntvuPWBqTP+eNPMh26e8eDNtz1wEzD9gWnT7596671T//L3V5vKTYUQOrTvwLl0d2LGjccLSm7C3kXhRuSVDDAywT9HnLRRIJ6J+YsdoaJF4x0/3TJeAXOegdaizv/vPhYtWXjng7dPv3PabXdNm3HfzTPuv3nmfbfMvP+WGQ/c5Gk8MO2+p++dO28uLvv36YctgWiIQktMZSoJWaTaIEJb2GaXBVH+AKTy72FwRFETuikMbb5EwEiXdiExSGhcK4sw0pomCDRUw9sv/H3eVwsKWhT4WIiEKt1t/53UgpY15EFj4FOElCWTgBWtVxa0LYgrqOYh5Gq51bSq7tKnU8d123VYt137Xu26rd9p5NG77nbwTsVWBd5zNOaNTXmpqnXVLgcNG7B5H74TxYeqMocQyg3x639+m4XMU7CUcsI8FIiqijQsb1j480IpY6FcIgrkhfL+J43sO2idxqamnEey8SE856m64VYDNh62IbXwqV0Yhnb45bt5KxevFJ4mzmFrRTVwltx7EAUTI5liofjD5z++99LHVcH/5ZIWbavdhnRapyMKyxasfOnh16ZfMOuJac9+OPvTr9/5/h8vf/7M9BdvPuf25+97ZdHPSzJOjpCYcFxEHREW9oQtdBCOXyyz0yr8VRTgNYMJXPl/Htj+HwpEqUiI7YfJvZkjxBTFjuPLXNH5zay/wf//QpNvLJXsiWEsTikjeJcFjiJUuDRZecypqgSOcLS+6/bdb9R+/Xr1481AqaEsIo35qn9+9c+nZj857Y6bz73svJPHn3L4CYfvd8R+Iw8ctft+I3bfd8Su++wx8sCRBx1z2Mlnnnb7vXf06dPnjLHj751199OPPPnMw089/cjTA/oMMLqtWt+y/shDj7xw0uTJ51544bkXXjTpogsnXQhcBH7e5AvPn3zhBZMvnHzhRRdeeBHjwosvBi665JKLLrnU4dJLLrzkUodLL5t8ySUXXHzxeRdfPOmiiyZdfNG5jg/acKCqiqZB3pJqFVEPLWk4R0UA9sAkDauQojxqnMHNbiLuRFYPNcGJJRI1RxQfhhbgGG1G6u49KsViIgiUnibbgNiBmwlXYgJXkIqAmLoqWBT0SIDjWlExIZ5iJIyoFW9JB2PCuKKfIewFNZTgeAAVFUFdRYVh0Rc80wvBDS4MzykIrUBDYFcusommoiJczG6CIl4tqSZXoBCVk8PBcTVoqVwihBAVbna1kFTFZ/UEJA0MWA2OoCimJqpJDEYpXptqRctfrVzLhKEUxSIxUWBmQYkEX7DHkxgvIJ3W6tSre8/lq5bOfGTG9fddd919V9/19KyfFvxUlRUHDxqcl3OvCheYaSWKiIfFmL00XCQuHqkbx64EB8AojzH3i1ks1w4tOh6842GTjj73rMPPOef35x2++5EdW3YUss41zy2iaUTDA3OCQI3qteNLEgeEFdyIJamLhMJE/IIBmEgkRTg8JJWnK++2Dzz0gAMO2f/AQw4AOeiw/YEDD9/vQJBD99//4P33OXDfj/7xMT8+r9drvdrqOrr05dwvPvnyo7q6upOOO7F75258iYljVY4Dq6GgZnlTvn7/3x2038GjTxw99dpp9955/+RzL9hu620amhrvuv/OW2fcsmzF0nJTPvbU09ft1fvnxT+//clfLYtVWtW7S9/uHXssWLTw2dnPFopFZZCz145zyvHyEsVk0MiZIVycNIVnpkWjSnZZaZPTomipCUK2w09KQitIxFaSBh5dB0U8KiNR3FCgmX/q/uNjj7o7FESShVQG3p957umHHn0oVKX32qKccIKLIAFkzcDUabNMdZONBp963MmXnX/xI/c8dM1lV/PZ1UoxSFDfHGWWoJopr9OKw3Icvu2wO26dedB+B5JdKJCT9lqn10Yb/m7DDTfYYKMNN9hoI5Yunbt4aUIcPw2impfyH+bMWbZ8abQ8WqVESUM//+qLZ59/RrIAV9hAo94kSdMlF1xy36z7tt16aDNX4Xr1+ISjIWRZsUVty402GHj8kcfdduP0U084pbaq1ixGwpj4HDkJVlpV2nbL7S6YeP6oXUdef+UNfdfpF5uMnUh54vPfoLSMi6q9OA2SQRlZGQmqsFGeQ7RohVDgfdcGAzbYcMAGv+u/wQb9f7d+v/XX77veAKDPev36rDcgQf/e/fv37gf09bl/v979+q3bv9+6/XiF6turb99effr06sPcr1cf/+UtiNK2lA4F+idlMc307vvvNY9tMI0D2Kzg5KrGleMnjl+2alllO4J66uJJJiUB1SyE/fc74MmHn3j4vkdmzbizpkiLjPo4fBZRMElEs2MC8OgxSoxm9q/P/vXtt9+qaUDLvUny7dPiJYtn3Tvr1wXziOlcFZP/HnAApCrEWK2oqDmbpQIEqiC/mV3pN6T8hlYVDRIyKRQ0y5SekTT3vehqryqiVEFGzRwWFdW040rxqVhvoKQRkYikSUS8WDRtNW3qmF8iosouyepiWVPy5CDmGuqvSBijIT4qnsHIQARTVgAGYKoqrlnJhOdWEikPDbjg/5ZCCAMVMT7yq2oQURz4LGtGEOXPSQwqAK2yWhU775UwFDGL5+oLEoekrZW3s+ABU4EvvroaEZ0UjM2ZFb5WlsQFTSHoSwICsCIioFGZ4tN0QP8Bw7cbXp1V4TRKGQfFrLq6qraqWFPtUF1TrA40U3hja9wbRx9xdO91euf+AKFZCdwr+2i4Fg6yeatN48OPPzL50ov40i4FIjrA6WUmM6KZ8WDIJfLCVooHHXDQ+v3Xy/iQEKKFWNeiBd+Jt2vdrg1Q37Z1qzZ11TVRcpG8VV3dTtvveOofTi43lcUsOaIBqsps5OCXc73MCq6QCJpnTGAwO736goQpuJA1IzFE8YOxOpLCuVxN4YkRlBtg2cJl773+QTFUSRBxRWatrqp5+7l3H7356cdvefaJW//05C1/euKWZz9/56ssNP83DCKuu+TXZc/d/dKT0597fPozb83+W8OKhn6D+hxw8j77njjC4aQ9Dzh5r422WT/XsvmjR0jUH6gxVres3njoRll14AaTNNimqqw454u5md+MsJrTZYl03Ris0riqqWFpY+DmMmELuD3Llnft3bn/4D7l9L0XekoYi5aLFsKAIX1r21YTWL08P8CxKf7wzVw8iKoGChZVERXmBPB4TdDGlY1vPfdO06KmTINk0qlPx423H1hVU5U3+P8E4l8e/3vTvFgrLaqsOhhfUhVrC3W2ovDmk39/5s7Zi35eHEJQScOTcYRCpJkl4LDptxj3Iqgr/M9LV4//Kfq/OHTFzBtVUcC1x+Ki9BReJWQhU8dVfjPQhFKVBBrQCpWhDET/B6hULFi8FjYETMWrV2RsnYioqOpq1GsGhxYTTqJKtMjPxY2RN2FqmhXDe5+8f8EVF54y4dRTxp16waWTZ91753Mvv/C399/llf6HH+f8Ou/X+Qvn/7rg1+9/nPPRp588//LsW26fPuGcCaecfsq4M09/4eXZ5WjsGTeoiHAH1NXU7Dpsl2MO+/2xhx5z3GHHHnfksSf8/vgTj/vDscccu+suuw4Y0L9V61YN5aZfF877fu4P3/7w/bdzvvt+zvc//fTTwsULS+VSfev6/v0H7LrLLkcf9ftjjjru90ccfdRhR//+0KOPPuSoIw8+cp0e6xDEqEapRoWTCU1YpUZR/1NJw9JcmZpZIqqOsmsqyrGw1UpwJI1mRlKD4WosdA59mCqsUhlOVujkBnK1TMXPmjPEhzpfwdSHE1zqDAExx9g/FRBVZzP5Iqx4IlHXE+FMVdgmKi4TH2YQIJUZxLwTrDwC1BcRXzQag5qbwXmgzcpsGzUSCSRJxIdj6tZoOZ0ulAigRF3NNRITCSkjM8FAucRdKZMIKIiIwFcRUQXSlZwpHHcJ0/sGangXBhJRUQaEEEaFAUkUk7h29x5/OO6Enj16/jj/p39+/6/P5vzzpwVz29S3Oe6oYzcfsjnfAolFLAAv3S1/49hMEADwjevfoC4QTICICDpoCFkmoU1tG347qq9uxZdiMceFW6kykzGrkaNbO0eElgRxDr0VPpY57o1jVR+uGURTE8SH4YXA3KGSR56pKqGpqbR4ydKlS/xvyZLFSxYtWrRw4cIFC+bPnzefsWDeDz/9kFts27r9Ol17G4+iTF5566XGvHHjwZsM3Xoo7qnCDK9GoEBK5KiqQYkS81hqKpeb8vZt2x+w70FXXjZl/733X75i+d0P3PX239/OY+zepcf+++zP29m3P35rVWllloVObTv3WKu7ij7x1ONZdUEyWkOaGogEF0gI7j2EelyBqWCU7iDgIuoA5hwOiUoQqZCsQRBzDkRNfFCWt9A5OHQh8orM/YIFLVQVXnrtpX989qkbJDMKdzxdMOjB9Tdd98k/Pw4FshMMuUIgaNJYM8FQxX8hFHfcdqdJZ0zaYL0NP//s8+eef272K7Nf/stLr7z18mtvvfL626+9Brzz+mvvvP76O46//uZrr7z2ynfffff6G39+/a9vvPHOG3D69e+7315777vX3vuM2nsvYOReQzbZmDo0iKiq8CbHeFP+5ddflkolMkwglQHOXjzxzJOLFi9SJaMKu3mGLmb+yxW/wySWFwRiCFhE61vVn3LCKVddcuXUKTdcetGlQwZvElSyQqbUTDcrHTHBjGNTkMLuO+4x5eKrNhs8hC8pRNOQZl+ShrOCmqp49rCwixwtyiFVc4YIW8U9Y1ZXW3fp5Etuum7azdfddPN1024CrrnppmtvuumaadOuudHh6mnTrp524zXTbrz6xqlXTZ02ZeqNU6ZOu/rGaVcz3zTt6qR59bSbptw4Dbj6xq232oYI4n3z7PlYKpG7W3/85ednX/yTR3fx/3K99fe3733g7lAdfN9VVYJ6/v+28JSj5OWYN8W8MeY5BQiDUmmVgokyVh9GTRxY0lRufP7FF5qaGlNCikeAl2SD5kyb/fWdt5576U9Rc2wQuyEagPv8zUUTVUKWbbrxJvvtuc+o3UfuuduIPXbbY/dddgf22A1stz332GPkiBGj9txz1IiRPoPsCTJy75F77TPKYe9RnDEQ5lF7jxq116iRDntx6vbZduvt+Mhtka3jY4h4Cz1F8Xz8kjTAKpD4sCjB7zYRVRX/Y8KFOB+mMFIpZA+IJBVKrzCFkTSjMiAAl6whBAPxZCqICsPUGaCArBkVE1VRVWeaseLLvKTVTBdULnT8bZ4xyEYgpVIHYq8/1W4qOOHCD3wlVVjoQUMoPANlaQa3ggO4kavjFWBfCZSkSdPvJyh34HTFRzPqXRzxAAAQAElEQVRlhIh+zyMxkwoXHiS4GWlzygyv0rpFK+6fpx55YpNBG6uEIQM3P2/M5IvPuOqS8VdeMv6qS8+YcvnEa9brvb5IGDRw4MwZMyefO7kohZhb+inLHZn4zWlSwZVVC7J42ZI77rrjupuue/Spx0NNQbkXSJg3B83J0ABhYImj2JRvv/V2D973wPF/OJ4PXzU1taNPHHfJxCsuOuuKi8+87OIzr7h04lUHjDhIJXTt3GXK5VNuvuGmAb0HWNm8gUHcefBPHNSVtlVVRJ0hXqFIhAaF14yYCJirkYeBOim+ibgwpCKiNByJS2HQemEoJExhEVZFoqorl69qXMXHVEhnGCy6sMo+fe2zf776+aevf/npa18A/3zty4XfL8noDt7MtVS0cWnT529+/Y/XPv/k1c+++XgOv0hUt6jusHa79j3btV+nfcde7Vt1ahU1N/+qWcmAhHkZ9idinq/dp0exOqM6ngWIEGehMP+XhRqEfouRRIzeYvPGU1/SK5fyUlPu+qrYmvAeoNRjQFcNOFAGhjBRAGKMnXp0rGlZbeoFwwEyDfN/XqBwqFiRoB5VwRQp5qgGzb766Jsv3/0mxEwzvovLBm23Yaee/r+P9PoTb3z6xuehqWCiuYNXw8PRxFRD0ao/f+ebd2a/z8eG5M2YDcdoScKhgdw233jz9Gb98MMPOvywgw894pBDDwcOPuyIQw87/NBDDz/0iCMOO+KwQw4//JDDDjvksCMOOQJkDRyROEcccvgRhxx2eNI5HOTgww8/6Ij99trPT7QRj/74qRYhO+EhIDDN+El2rz1G3Tl91p23zZp12x3AHTNmAbNm3jnrjjvvuOPOWbPuvPPOu2ZVBpzbZ826/Y5Zd8yadceddzrcdeesu+6adfddd95995333DPrnvvuvO+Bux94+L4/3nfHfTsN2ylGL1NNvGhlArwBUmF4E+CIZ6WW8jMIId/oGqEYZtw148gTjpp55+3vvv/ekmVLXLrmSrprqIQ0sxqbmj7/8ouHHv3j2DNPv2nGzSsbG0R9GMcm/eJqpchvs7Ecsfp5/q833jJtz31H7bnvyGNOOGbchPEXXHj+FVdecc21V19//XXXXX/dtddfe9U1Uy69/LJzLzhv7PixRx171Ii9RvCd/ax7Zi1ZtpTDFhnlGMs5DxOaqkKNqrwSilTK4xYRH/BFTNIbWx5qIdGRyl2IxDz/iom4qZOwMUma3AXNHNcxqolOm+ABpHJrCIWaoADbwSqeKirCcFdqriH+bEdTzKXmZyWFMDNcuiqXGGq+cvGp1RWQ4sQk+ZDm4Taeq+IQ9/isCFCDDTORhg0b7REUV1D4R5I+leLCGfTPYIkGZpRdQxUcLp7BAphrSmKjEt0hYSpKggqAfzNVxHgUCUGUx4kL4RpSrJBgaiaQ2JuKz6uTh7LEAoEX3dYv2k4PXNOam4aCoQFLLGLCG63qquoD9j/ggbvvu23arVWFQn2rVqNPPO2x+x85a+yZVaGKW4/9s0gCnAcv0SNVfIiQNJdymTGpaxmO0eNx5HxlSEhECCIhCsO4KIq3YznaEQPvlykKeEHIHJTJUa6YqhZmFQangNlrgFS/EgmSVnHEL4m4jhyGcOpJpz1y/2OPPPjIo/c/+sj9j/zx/kcevv/hB+/748P3PfLI/Y8+/tDj666zLkm1b92+fX07UlqycsknX31SXV219RZbde3cFT/0CudeLwtAqkFxLcxYMtNQwpVs7W49x4+dsNmQzX/89Sc+bsVYri5WbbHZlt27dV+4fMGn3/yD/FrWtOzavmtVofjWO283lhoCrVElZROfBYw1NRmUaEaxTnJGoBwMlij5qESR6ELa49/VmahjIqioQCAlW0HXRVFdqmLiQ1HjftRUXihIY7nhqmuvivhx6f9+ffn1V9Nvn75i5TJVXCkjhAz3v9VWREE1hKCBZzqp3HH3rFMnnHbKmaeemuCUCaeePOGUkyaccvKEk08+AzjlJJ9PPmn8ySeeftJxo0887rQTjht9/HGnHX/sKcddOuWyG2fcctPMW2+aOf2WmbfNmDXzw48/IpyaUIilDvwy75dPP/0U3BAIfFkzeN69+8Hf33nvbQ0SUqVrRCDwVEKaybpiLarwVDPl3drvDz26e5fujz35xJnnnDX6jLGnTRgz5qwxz774rCgtbe6jiYpwaXWxpmPbtQpYijitKoD8x1Ao46xE2gKIsYOw2CT2F9wQwv913i+ff/U5X7+3rG/Vor6Vzy1btKpvWc/nv/pWrerTaF3Pl25wWrVq2Yov5l0LUav6NvWV/+J8zVzfur516zb8lDr357kmdEGFmy/PxSQUskeeeHTBokUk8b+CUqjZXfff/cHHH4SiUlyy/09dMiZv9+n5c+jwbAzhxJmIslMCS3yYi50qFLOvvv2az1o8C3AQXfjvC2sCLVy86M577vzuh+80cN4w5Xb0A/9vPcfSWVBSC6P2GHXNlddOvfaGqdffOPXaqTfeUIFp06beNPWGaVMr843TbrwBuJF5Gswb0Jo69cZpU6fdOPWmaVOnTbvR4SaQG6bdcO0N119/w9Sxp53euWNn9oqshEREGb6CUJ8wKLFSbKrTDAUVlaQkEv0dpSHi+cUSDYm5pYIkpeRZfOAJpmtAqSj3kiDFu5oiBBdRVSYREHEFEADv4gOZOxcBESGsOIYhThKZYov6qKBJQRjmJrwHERWXev64MgnIHALnNAhpQLium6OAVzOeJqBwjdMAB11mQFHGJpq7U+X0cQiCc1FMOYkS0xkghnbzxUIoPIPgwAW0L6+szNgCBo/NEVFDKbJwe8XI92ftNt98y65du4lI25bt+q29Xt9uA/p079e3e/8+3dfr12P9lrWtibl2jx6DBw5qWdPCSiQuwqPdfVAlUGmesQuF6mKxrrrJSstXLm9obPjx57n8YOH/ljELWQjcJhRGIKE0X3gTF3mzxUOnZ7cefXr3keg/6Hft0LVr+7W7tgN6dmvfc+0O667VpouKtmzZql+f/p3ad47RlGA4DJmp0BWKE8WjMqKSjxOm6rjlKqoIqdnSaj4ifUhsTdIgLOoDRERUKkM9kO+ssqkVluDWxHmGfgoWVMgmwwnHMAhvgzSzQmZVBS1mWgg8FaRKyFZ8pKzwICqaCQr+zPAnrGHImzm8pRqiP44teoHRYlSVyPkRi3mMsba2tqq2Wk0wDCZiQoJNK/lKxqsTsyRS+JHu8OGYyBE35icLx2aCYy6LrdrWmQqaWKq6ieBVJPIDWlVNdVWVuDvxdFVUA58JxYdrWlRxZcLhI2BN3BVLVrzz/HuNC0t0KmreunvLzXfYWFQalzQ9c+/srFQQf7BaHssr8mWl0NAQV+TRH7V41HL26Vufz/thPvqCSwJ5qmQLplxg5XK+0w473XDVDTNuvu2OmXfccfudwO2387FmFp927phxx+3TZ86cPvOOW2fOBG6ZOeOW22bePHPmzbfffvPtIDNuds6MW2aAzLx5xsybXcQ846bpN0y5PpYs0i4zblUvnKY4at5G0zxazx69dt9p1wH9+nfr1q1rl67dunXn7miG7j3WhurWo2ePnuus3XOdnj17rbNur1691+3Vu/c66/bu3SeNvqx9ndNn3XV69VqnZ6+1e+603Y47Dt2pa6euFqPXuOaxACHiPWZ7lYyM8hPpgsiWi++N0Si1UMym3zn99Injvvn+m1K5CYn30BX/fdFBVaYKJ1QW1WZONP1uzncXX3Hhg489ECWPMRrxcEQTPIGoxfD8qy8M323H0yeOf+mV2Z99/tmcH36Yv2D+smVLV61a1ZQGX+iyNjY2rly5cunSpXxZP+eHOZ/+659P/enpE049Ybsdh37wjw/8mRAspceZoVoqARInJaNpkB6Rab9SIGlw1g2e67NUICmSvyVvdMPgqwrNAjHcO2rJASpKGOGCYZTLiTO3waVziOHmlA5TsKHX9MDQUW+GVZ6rEaknBhsnLnVK3K8IGxjNJ0FLctcxTbPTKKubJ1yNOx4DmAD2MUUXLJE344ot9YhoksIlfTFRVWEYWbI4UAw7qqocDGjEFQB38KQ8mOAJAUFwYhII5WzPijLUk+W12CRCCTNx1VwJXITITIIFCxGFOzeCwsHAVWJ0BGNNZmYuhTTueDeAkbqWWD6JqPEkDHnOQ7Oqd69+e+y6O+/+a6pqNlpvww0GbNiithW3pKcf1QOgH3M/PpZyxZgQgYYYq4QAigoZ0gpRToAGEV/4AaSgkmlDbPx+/nefzf3npz988sl3Dh9/+9HH33346fef8gsSjjQLorwYqYpw6IKpqoiwMIuK4k28TA+oNMfvldx4exe9IBjouQyMExANHYmWl8tdOnYeuMGGG240cKNBgwcN3HijQZsAG2+0yeCBgwdtOKhf7/6NpXIWsi4duhSzIk6++u5zPnV07Nhpo99tVKziRUSU8IpEHRMmGOIDRqYg5pOvlvNDVtejDj2qulj1/IvPL1y6GBHPpf59+5HXR/98nzLVQsc2a9VU1S1eumTu3DmqGCNkMfNui3AuVCxKjJEZv9TijU5MR0RwG2NMOAc6YCKCGCvDh6CA0EQZtEIMDuB+lHCoc2IFsTBUNYRCdWH6rOkffvwhYhiwKzBk080qCDOiUrn09PNPv/DyC8J+YOcQRJDImoE5O+jPAZeYhrBw6aK5v/z04y8/zgV+/pF3/HN//vGHn+bO/enHH3+a+8NPP8z96ccfEvLDTz/88NOcOT/OmTP3v+GHuT/88OPcH378YdmyFUZzKlvvTbAv/P9Z/tM1CTRXu5qe8+Pcl157ecXKFbSE3FazPWmKAOCwARUrFPyowQ28o/D/YbM33nzzxtum3XLHrdPvum3mPTNn3jvzvQ/fzTjYQTizwTXNrcxoLyEsN2+Hu/MV5/8FykYZL76RKlzL8TwaKYi5D1mxfPmV11656babbrzVxoO32ph546032WTbTYcMHbLJ0CGbbrfZZttXYAjI5sO22GL4VlvtuPWWO269xY5bbb7DlpsN22KzHTYHARBtsaOLNh++xZDtNz/mpGO/m/OtqKoo+8KLy8/zf77/4fsiX6uszlJV1+rYsbauBTpBQiaaafjXZ5/NuufOVY0N1BbEeM5o0leh6FSEGY8YChDh7R/nzymxECnLJWyYCU9JQ9mNtKCFmqqLL79w8eJF7GQZSxWTwGfGDu06JN+wYh7L77z/tzvvv0MyHMaIqneqIv/37KbkFKW6UNuhfYfdRuwxaJOBg4cM2njIxoOHDB686eBBGw8avMmgQRsPhM/MrT9oY5gDB27sMHgw+KDBGw9mbDx4EGPgoI0GDho4cPDgIZttyve4fHpVfwtHbN4uGJmZsVWEZa5Q1MarBOwEIoIuGyymWESh7GgqjoCKRp+xRKAoWx4UKVyzGF3qpwJthxgjKuoWxoS+Z+CLU7kgdwRVdAiLT/TNdZkQEcdnmIHV+YK1kg8sT7wHlwAAEABJREFUSdLEhKKLSYSMFTXSEhYylzQCN7YJti42Zzmi7sQpQ2IVY6UMFexVXYJKUHdD8jwYMKAqQ0wCUcUAeOaqeMUGTpJCuUDcVkV43glD3TPRQCUqCPYKYeKziEZeTYyzKhkfhYS3G66gxMzFaBVgbCkpidPRYi5lw5OwjQqijIwrBPVPE0X7+0fvnjrmlF132eWjjz4JWrjn3nv2HDnirvvuXLh0gRaVG0XQFg1uQO7BSS+DHHh1Zw+pLe1HTqwokejKCKqZuI2nCa0qmQO5qwYBsiCCVspTOCLiWYrgO3BbwAbwrTQ2whVFGx3xYIa+ryJRkDtEp83U12iwEy2CXCjej4ikCAqJM1UhlOHek2BR8QDBexkrtqCW7FUUIyzEhynfMUigULHvvprzzux333nhb2+98N47s99758X3//bS+798Px8pqkaeSnByliiS88bEjKZkuPJAmpsVikWy9QZEcyVmLD0gVoSXwCh6q4MzabtRUqmp7KS6KiQLOUd2Q6RcKpXLZSEEXA/uLSnUFNAF4HHUAvWK8occxWKx+K+3v/ji3a8JRVl8lBq+z9AqfhyL9uHbH0tDKPh/OR9yy/tv0evsm8ZcfOc5J04+utt6nYwfusRlC+YumD93YUgHhPw0JQ4lxk2gaUieR36Kuf/BB7bcZovNt9p8yBabbb7FFpttttnVU6YsW7ysaUVj49LGxuWNjcsagIalzOCNDct8blzW2LA0wbJELm105aWNTcubSitLsYl4mrZKzMCDSGR31VtjvHTB++e/Pjv+pON33n3nXUbsuvNuOw3fZfjwnXfYYccdhu+4w7Dhw4YN3377YUOHbr/ddsO232777YZuDz506LBttxm69dbbbrX1NlsCWw3daqvtttx6+6233G6rLbbb8uvvviEWnsWj+ETg5ohCF8kkd67Scj8twuRo5eKARg36yacf3zT95nJehos35uQsqCjvXFu3ql+r/VrdOnfr3qVH965rd+3cvWP7ji3qWga2MAUWtlCpVFeuWnXd1Gvn/PRDqNyxCPygWSiEZ1589uTRJ331zRcinEEM5P/t+OLrL3beY6cnnn4iFAP23lCypNS0zWvcGqedrEzxr7zNcAWhC5AVQFKxMIbnghfhbGRooUf7RCLWSM3gs2KIG06Umbc0KuIIE0AK0EdUTUWD4Ivz7ED/3Ldgi0TE1J87YqooCd0jDwUP0TVUVQBS4DYTRYVoirIzxdMy9k5BFOc8RQOo/GYoeORSzhymHg+q+U4mhJhLnZU2S1QTTcZCCTjDqOITxFl4MMUQkaDtiz9zHBeGIfLERYisXnlqg6ioO/Z2iXi/VIScUlPFh8HwEHCDgCNUpCqZqApSNVM1FVZREdVQ8JnyzTIhjyA+XCQ8s9COomSTm1oWQqai6U1fpQjBUwIMRf1IIAfEcBiQuD55qsLwSUSBoApUqlBRQV1tzrw5N9x/3eQZ5104Y/KFM4ELJs88/4Lbzr/w1vMWLP0VYw1ZxkuaZgqEoBk+WNR3O2XNw9aoUig0pRdEVUWlMjxFMZepKE9ZOgAIWbBYpKrIVM5jtOiefOMo2nTR4sV8R5lp1rF1R4tGJt/O/doktmvXrkf3HnAq/glkWkFTKBGKdvfNlDAcpaUS+vfp369v/xWNKz/4+N0QrEPbDt268NWqfvfzd4aNaH1d65pCdS7xhx/nUq7gHb7RA0+ekoM6HnzAUUJriBJUgoiKVoa3J7VCoqj4IDoixxQG3TATpST2AFokTSy8gHAeIDVkgTOSZ/HpF56dPnNGQ0ODd0Z8oLzJRoNvu/HWHl17OI2TtMxbMP/2e+745odvK7VwdldLkpiJPDMNWcaZ4t0876oDoeDjkfk/wf6DRAP4D9Z/KtAmP7hUHAnvfdFVTY0PPPpQU960xqxli5ZdO3cpZBz+Zt7Lr7/6xVdfqNfdzBFPyc+Ge/xNTMp3jklGVfCDCMepwhIf5BNoGl/YZuyLQooFEok4E44UlLqeKhG4gCBExijLJCgHIiJH21AgHIsJaGS/lMKAFNHrY3tRZE5Aq2GSF0gFICtQIZkrZJpTh5JhIgkSyxz+KIHDm6kWs8a84ebbb/ri68+leaiqsHUXT774hN8fx/sKCi0Id36QGJ999pnZr7wg9CUEpQrxgWdVeK6jnDTVKBn1GQUBNFx8qHqLJEQ/0UG51S3IjLtmPvvcc94Bi6KeaHV19VGHH33S8SfW1dS5mfnENf32GX9956+81xJVSZf8ZpBO4pGL8G6BIpevWL542ZIly5bydcaSpUsXL1kCcKcv8rGYaeHihQsWLViwaKHDwgUcab6gnJfGL/N+/XX+vPkLfMyfvwB8+fIV6YMP7wc8qqasaDUbRlxmdh+B+Ts1Rz1FToIg9PqNnB1MpaJLnskFN6eAe+HeT0hVnAfFgZiqShBxXNVn9KIwUEEqvruiGATzRXDuWpomQ68CqjAArGEq3UZbOABEZq+EgVRhmrkUNqVB4xBZ7l9dipMeFgY5eWSvxHCYLthIlVzU9xltU3iIK3MzkpgIVNAUUlAmQKGjGPbiqKkISFqw9IxFLDhXKFIYFRwJB8ckdQV3SEkLMQJwBNFl/hSCKfh0EGN25yaggocYMfCiTKO//sUIg80yNpSkQsbb5MgPu4ccdvCMO2Z89c1XfLEtMS5btuy5l14YPX7MxPPOmrdwfkDVXSoe/esGw7sK/THBHS8kpOkQBQWNQU1RFzcLKhgHDex3siJX5UrQPKGRwG2wVORmikNKYXYtowcekYuQyIIof3hEx9AGEx+Jq6bNQ1RFAFHfFzVhqHgyzqRL2Jpib4JrdZGBuDdTBXM5aio8AyUIKJdQKEZUr/Qx2teffPvUHc8/fsvzT97y3JM3P/fETX/649Qn33jmLb5zIaSDW5uJ4HLhvEVNDU0hyzR4o8RdWtv2rXFKWEUlaFYoFEKWBVSEh5KYFqsKVXVFIqbQoiJZyH78+heSdwdCf1gJ4ZFUdMGvixpWNIEACACz2KFze0EFZedmJv4npjA16JJ5S196+PWiVKmGJmsasFmfDYasX/nA9u1n31dlVaKUYq3XajXi8J3r2lc3aVP3AV2332ubrJbGAMJvpwt+Xshzyh1SLYEAEy+DiKoSlEBc8+bNf++D9z/44L0PPvrggw8/eP+j93/66ae0s6q5+o1ZFhCNqqTHAXYQWqRREig4B68ZjAEjOklNXiMKLOwSuQDYo2PKW0UVExGSSavjkjDx0UziyHlQOIGvXBWAldR95WI7qCmJ0ME1G1IxERVFQVibwdPANoldM0LAE+O154cff5D/HC1ra3cdvsspx518/pnnX3HhFddeft3Uq264ccoN111xzZUXXXbOGRMP2e/gdXv24owkNyG5lS+/+frV11/NCllqnPjM98HLFl125WVzf/6xEkHdoIL+XzMqwH9IqWXlqpUTz5v48T8+8aOpbAw9p96k5hQso69YEhd9Oq4mkJXcXE+bmyJ+XmAg0bQ4ohJUNLKYkKMpczOYu3HfMHlVECcFHTbYuUpAIZZJ8muIAHRFVAFlRU7XVR1X11NREfGQgqalSkzxlC5ErD5zua2qOAgL/t2VgAs88sALmL9bIiMwFRHlz1QYymuHKH/golSIA1BUlaSTB3yIOg8G0RIOiUdmFA0TQFyg4ibeBlYlBAJjgZI0NHlLEkSeqkYRuIIKTx2vVx0XH1iaqABIHUCVVyVVdZ6XhoowuHlFGajjFIZxEYt7DoRZDbknZiAuMIEhaXipgplqIkEVtxDMEqgZXTFRH2j4UokHz2AAWldd27tb7/XX+V2C9dbruf56a6+/Xs/f9e85oLpQTcAsSNAQMgfNgmYaMtGAXyIAin8JzEJADUGRiQgM9UEcGpXn6UkiZKzeOEHMjWqRr7Fy5bnkjzg+WOaoU7QhX7ZyOdJMQ32LelThzF86P0psUVPXrm07yECQdMJcaiKwMCVj9ZuIVUSUl08yVb+iWZvWbdbq6P/99o8//girpqq6bZt2WSEsWbaklJejxZqq2mLmX5/xPhBjL0BJ1SLdFxFw/NJdVQ8YnaHC9keB71F4sXAJpKaLZjg7GWIDDkrWxqOZDNBxwDtsXJgvylc5WqgpLmtY/vATD194yYXffsuHTHRcAfXamrozxoxfu2v33x9xdE11DRxARUX0jbfevOehe6zgykHcmfx2kHZQNjHtZqaMEFzenLKj/8eFBoCQKMz/CyDm6VRpFFVnVdlzLz03+5UXK6oqHmi9/gNOPP7Ezp06qyggIl989fnrb/6ZrlEbZAI8qalI0ET+e8I/e42YBxpSTQqQqzUsBK9MkqBirIjdl4qKqMagCGuqqzfdeNM9dtljj11H7L7z7rvttPsuO+7apr6NKCMwCwN9AWXxu09EwNIlzcPUOYlYg0CBAxWE+bdQ4Vc44Cp4UOVMiHDU85iTGzfXnJ/m8GPdgw8/yAdsTdqoqOmgjQYdtN/BRx52ZP9+A1TVhDvJv574+Zdfbrtjxk+//ETxUjFIVmIQQdxpkBA0JK7CjVK5LyoMVQ1BMilUZSuaVj765KOXXHqRNSsYmqqxS6dORxxy2H6j9hm80UBaqCKAiPD6Ne7sCT/8Oicr4iOIwgaQOJChsXImKmCCEoz/FSyN/0WU+EyIPABOTMjKOSTpJ91LgoUCkHToDEqiogmCBF9VRMWVI4YSnIJBPxSmOqkMUUU7iKoDat59WTMUjvioiMGUwUK7lU+6vDDxpBfPKzEFPc/FiCMQXKpMnr8wwJnNjzSroApoklpSF9RVXY2cRINIBQehaAuJFJHApVTCIgLCJSioVhBwAeUCW8NUEXATBivqAq1pCEODHxtFSyRN5KcKRn7Mqj7J6qGeHBoOicfpQRHSZ5pu4g9KYQ88ojIkjSDKH3oSKSAVzyrcFRajWeXFI7oTwzA1UsQ47i+8OPuiiy/68ZefWte3Hjli1FlnnDlp4jlHH3l0n959G5oaH3z4oUuvvET46oWP5HyZwc2Sm7txpzHGnAun0XgVYiU7W7Nv5KU82IW81CdhqKhKUPWmqOcswiI+VIJLVVVEFG4QBgTgSOKLKH+rARyuMkzBEaow1OVSmVhUYVC1H0JVn2EK1VtTuaEhrmjIV63MV6zMV67KV67Ml63MV6xy5sqGsoua/H/5vuT95mMVRl5eNMsbbZVDbGwsNXRbt0sdo1BXm9XVFGqrs9oWxZbffPpdeVVZeFDkNCknAZxkkv3jb//MV8VAekZeSiLlvNxl3U60T4MWC8Wfv5336uNvzH7w5X+8/WneFEMhM9XaFjWt2rbAAwYVKEj46sNvfv7m1ywr4IS+kx0bL0oj9fP3v1q1qEGFekUFsFCla/fqTiqCnqgpTAXnIm6mhSduf3bZTysK/HylVt22atTRe5jmbKyaLFm4jFNsSgus89prVddVx2hURuZd1+mUVQVcqo+wcvlKBDTJ3Xo2YnTci3GoB1AAABAASURBVCcUWqYVknQpWDifeEpiTQMti5YbLL8ET6yujaRCVGbM4DTLXM6xJlNmbJAQ3xHzdwpGSubDd0IqKrBogAPK/w3J+L+Z/0Wv1rHkw5qlwasQZyE38gIHAzwbXyKJkIMb+K2sKxtWfvH1l7wMyG8Gb6EuOPv8qy+6+txx5x5zyDF777rXTtvuuP2W2w/batguw3beb+S+pxx/yhUXXXnWuLN6rdMr2Rl9BSHin//yRihmHJVKFqGgL740+6P0jxNQ8BSEExI6tus4dMuhhx9w2CknnDJh7IRJEyade+a555xxzrjR444/6vi9dh+1wYANq/z9K0bNQM4//fzj408+Jupb64WINsuoW+i1KpxKKs2CtGia10yQ5AupCurgK+4lWYsPDqVAiSpyQZZWSW2E43ttouJchSsqoM2RFQadUGcZkdSQ0RElb3iaBCAOHCe0tfkSEIAov5kFc9wlQE9QUo8tAiYi6m6FodacgOPugAuAEgSa0ISAAQJXxCcXJYbwwBBZHQm2iSQFEV/8RhMGCh5LBA1lBAlSefBTpeAJnrAd4sOcARK1GRFWPKmvsjp3aR5wHSNNEceJYyZpmEWeAGw94QWepeF3IvcsOIkHURWOeHSOn2+DSsb4UoTqhPoQR9llVQHE7xycqjillQFPnMFEmhpkrXZr7bfzAcfsddwxex177Mjjjx153HEjTzhuzxN+P+o4fuQRQdEd8bAKmlV8kCfslJeoAqoqZKrqC7uv8GDA8jr5UgZeZKTE3VrFt1VFeNVSVeYsS2+Tg2RZVigWCtVZudxEhkFDVbE6qYv/h1Im/CpSVcWHQHjqW2O4IhhuAUImYKJ7Zij5xIMVoUldbR03aX1tK37WRi6qVVVVFrRUKuWxbHnkKUE2uFvV0BDITEEBX9yPqGETzLcB3NnOEZiVSCISuFRE+WO21UdGReAYExZgmEMIQ9VJEKFeOsNSqC68/ubro8ePvuDC8z/99B8oAugJMtE9dt5j+22GFaQwcveRmw7eRKUyvA/lvHT73be/9MbLoRBSJhVR84ym0lAKC6Ci4i6Zg2gFwP8L4MPBVyaB18eQNOEAIir/NehpgoZSwy2333ruheeuXLmiosJO8GvMFptufvB+Bw3o218UW6MoXj/uvu+uhYsWahohpUd2UBiiIIKm/GYotIMq82/4jmpQDSCR7voR4NxBiShus0BPQiYhCD+vnXDM8ddfdd21V1x73eXXXnfZNddcdnWPTj04AFg5EBgAYzYhELmyUpz4UEYmGgRnilRFg2ulyxWaLxXnIKqAyL9JFdVEiomQrt/esVBVuGXmzaPPPO26adf+/OvPxNekhkKrVvWnjxlXW6zp3bPXIQccVFNTkwv5Ru4usnrzzTfvf+i+rIo6yUQYGDLjAVAwTp2qy9CG9M6YIoDvTQuahb9/9N45F5133sUX/DJ/HiqeF4uQnB192JHr9Vlv3R7rHnnwkbXVdUnk1iLyz88/veK6K0pWCoUKJwkF1wg9RRLAhQSRTDUEFVdTF4o0L/L/MCru/qfCalO11Zitduc3kbmFS/xChcVUmZ2PIvelq4moOjNdPpnnKgYKSBreNaKoicDzm1QlGUlIa4Uvq4eqgqYJcSUIDIGQ3wz14TxflRhu9Rt5M4pzMN+0f+eEpqrwoc7zdDYaQjJ0mnMqmABOwHcMZvM5aWbyPPQDACXklzwouqtpPHhAOCyuAIbcG5CiiCkkMkD9c0oyhKg8GAWngAYNROHON5rNJaBqnlAyhwwggPglOFWaz8cidFxLhDx5QLDEPDJrLsmhT0RbtnL5XffcNX/+vFatWl10wYVTr77+9JPGnHLcSRedM3nmtNuGb7cDT/Q777/7i2++8gDu0V9CPUcPQEzzj+TceIJ34nAr4TmKCKdUScXNhKThwhSJqiow1Ye4sTDcWdJQUXHE3SrVIKiIYTpON9TQMfUXQmaXuoyVMM0YfFe2ZqYvQry0IggUbhbbdW476rjd9x87ct8xI/YZO2Lv0bvvfdpu+5y6x14n7zrqRGCXkX/YZc8Td9rtmGFrb9CFPig+3CU1Wvu12+07dtQhEw849MwDdjpw+wGb9Kupr6LMFIVJM82W/rri9WferNLqQiiqspOhOque+9mP77/2kTSRA8mmpkluIe/7uz6kVNTi27P/fveUB15/6K2/Pv7uY7f86YFpj8YGyYLyu1aHLu20mk8/9BmIKiGukLuvemDRj0uK1UUtaMhClgVej+f868f3Xvwgb+A7WLIWLp50XdZdq651bc4GwhAfBsItoJplhQ//8sk//vyvqqwK5abYuOP+27Xt3CaPfly4XTGCL77xXp1ABFWhmey1RjMnRHzOjQFqkgZKaU2kdyhG98fWQyRNF5uLcQrEGICcE2BqjrPhQaSy80GFzjkZNTNR8fSDqHJqJJKLMDAgMzOYnDdhv/xocFkUl6Hy/w3MFdLkCNdvcUicNYMvQgIeTMT9R1BDH6BSEYmuAwWTTnlaTqCVxMYvyStXrTKSQ9chiGh9q9ZHH3F017W6xJKVGkqlxjJQbiw53lBuXFUqN5Rb1LTcduuh6/RcR+gOFUvz+OXXn9V9pFp5gS1ks1+avcY/sTWEXYbv8uj9j9x+8+2XnX/ZpHGTxp88fvQJY0YfP3r0H8aeeeqZkydOvuGqqY/c9/BjDz3as3tPbXbsC9l+9fWXjU1NopnTXMZGOVCmCU9JKiGIYMXm++wU+aEDIxHsiSVEkhEtcj9iUEKDKqIKhQCgoIptxQkc1BTnSTVQKrhAAAjF1IcxQIntcRRbS2p4RkIGIC7xK7lvppE4yx25rbGt/L7kUQRUVsvw52JoN3aPoiraLMbX6hOJVkRLTJBWnCPFQLncoy+CHQoVwImQqxkO4WMGAvjhgvDI6IMxY5FmNb7BASMZZmIKtws2ELjzE0GoirISEJ5CAeJ+WNcAtJ9NM8LhAE3nGHKJxkNbcCZeAamZsntm7pGnBAzFlLdVedlyQ6Qa1B24MYGwl+bh3Iq+M5DTo2jkjQFGwhLQURAjYMgk0+qq6s7tOnXr2LV7h+7dO3bv1r5Htw7du/q/E+7GExYH2PszARvxgVcF1yCehJK0MJmzcA0OYCIuFYYZFgJZYWgIBE10+PSzT5989onHnvzjI48DDz3y2EMPPfrQAw/ff9/D99734L1PP/cMH3jQbPYgkmUFPJvFPOe2pyyoilepDGiah0DpghNGcC6zSN94veYnsklnnPPc489tt+0w2hlxxQPZLAS++9QYDX1sg0hgqDdL2B3fVWVQLDPqFQZFub4TBItqUVMrhJkkfKH2aHAdZ1HytGY6pQhdWSs7jRsRZYTwwQfvP/74o7/89LPnRGBBz6++vfv94Zg/1BTqYkl69+x9wN77t2vTTnmIu5xwsmDxgvFnj/910a8how75j6E4hxG5AItx7xF7TZ547nkTHM6fcC5w3oRJ551xzrlnnH3u+LPPHXf2OePOnuTzxHPGTTzn9IkTx545ccyZZ44eP2H0+C5rdcaJcq0GU+9gbnHOTz/ecOuN3//w/WoJq7Vp1frgAw7u1L7TjsN2rKnyT8veJ5F//PPT226focIehKBZ8JEFVXKltRUdSQOeKO1TClPnpMmR5otPU4WaQlVdFVCsLVYBLaqqHIrFFsViXVZsUVWoKxaqq9Zaa60ejO6Mbj186l4oFvHiBXBJdNfmGH013xf1jaDBJpkqwDlOEFQUQ1SS0LcKBE4FlIz9MOADvRCYKoI0YyWJU3EeioWX/vzKa395bemypSIINClIUD1gn/2GbzesXM6LhaoRu47YeOBgIz3h8cHBs3KpdNPN07789gtloJ6CClJCsykSg7m3aPAcoqvhXFTxzfNF6PMbb/7lvgfv+/Hnnwi6WtGVt958m5OPO0lKMTbFfUbss/1W2wnqeJbKsKeff/bRJx8NQSt0mt0BPitJpozchvKViIImQJaq0gwi6tLV5G/4wlCuBOTGqqLMqdcwzCvxGB6UyxhJnhSSqjH7FhhmRlxIB7HoOgkVl5MylqZwzFXx5AoGB1K5nCOuS2AnuZqBExKRiLtHwZS+uhMBgck+kCi4YUlcVB1xDTPiOoJagtW4gRDQt0tpj1RGJUpFRiDPCkHANYviy10nsZALLgQRzUUXU5H0tFARbZYKAy2zCEe1Qq2eY+TxT+JWuSfoF2o4Jx3XxARNxzRiyjnz4ETidFoUWIjFVzO0eLNpeDIxVQ38kQKOMzQibweUPtBGzJ3P4mlV7kLaBy1R8nJuueHl62++/vr7b0tWHjxo8NFHHFPvnxgKVVZsWWi18fobH3HwEZ06rLWqYdU7f30riCflNuohK50yIR/nI3TMJDhH1YmEIRRxMohwupUsvUbuOSMDRVYpUnz4axJJ8cKKgOxpmc++CE7UMNOISz8VAR26Y2iL+HYoXCC1xZIUvimB3adUcjWFGRVHxqNtvSH9Bm6/wcDt1x+43QaDtvvdoGEbDB624abDBw7ZcaPNdh40ZJfBm++6yWa7b9qhd4dyLMdIaDfnc0t166o+Q3r137z3gM179xjQvUW7uvWH9C9bicZ7lepqVVb9yiN/eeiWx5b8vLxOW8iq8OZz79xzzR8XfruELS7HUm5ls7ws5XV/17NVB759sW8/m/P6U39d9WtZG4M2ZbZU/vHnz566509qIbe4zoC1a9tU55bzuFKvS4taXD634eoxU1/74xsNi5qKsbq8XF577C+zLrtv4ZylKhn75cVqbIyNg7bfMLL3kR4ZPRQfKiZZFhqWNs6+/+VqqSH/spXWXr/bwKEblMr+75/QQrtFqzqzGITC4s9zfsljmfiaSaFYWPTrQimjgsi3sqauFj475YZ027j8VAToBCDGKTRMgMRKE0QplssFiwWxolqVWJVJUYWXuWq1GhC1ahM+DFaJz9VwRKtDqNasJiMom0o5lIh7kRh9y1IYnzyGmWUhq6uqqyvW1VYBtbVVQDNSV9WiRXVdXXVtXXVdi2pwwMkW1bWQLWtb1NXUhZDhSLkSgHh5HpXWOBWFN+UioOJZWHAMHaoDJDHVd8Ai2XhixmfjuupardigkQpYsHjhBZdeWA55oUUx1BSymkClWlUIVVlWLGZVhay6aIX44qsvfvDRB3h1O79UROvrW6e7hLS80xqEX63BZPUoZoVNBm88aMNBa7Xr2LJFq+piNR6zUAj4zgrFIo1o0bZt2x7d195u6HbrDRiw2s5XUm4ql/Jy2WJOBf5I4dAAEFRMqeKVBBFRP6dUDYiIUrUi5sgZbVGlk2Trubsi5q7hpGlw24iNRFcXuO6E1vripKZ6mimJpugBZCfYihuAkxZNQCrokx0HsWLi1kpCfIIPwh4ZtkI2qGFW0cGJSHAJLCETEsIPQsCVBd+syhq9InGpK4FEdMw9iw+qyIRwYgSAESMI8akT4xw2TPILvgRLsZTYCCJSdADTKCxCzqKQZB3HAAAQAElEQVT8OWAjUWIUwqmKcKicJUmmvjmQ1IYY8HagaV6T62IgDCRG/oIDk8QzESNnZSNAJEdJMYLUjPTEUBDckhH7Zuks4xg1ztB6fdfr1WPd1q3a+GcMHLlAfbgRLUIrvUw5GVTBTUy5qMJEPQEjmGPB1c0sepFEiVKOpaUNSxasWDBvxbxflv76y7Jffln28y/Lfpm3fF7ZW4WSCQ8qI33Dt6paIKIYf7gmWjTBHQEV2kVcZhZTF1Uy1FVURJUKRYQRlF88rp465fen/P64MccfP/aE48f+4Q+nn3zS+FNOHn/yyeNOAa68bsrSZUtx3dC4irii0qZlm6DZysbG5Sv81xJVfCJnVnFccZw6ybZ4/Uqq4oiRoeWREkw7tu/Ut1e/YqhCOVq+bMXyUp7ze1eBH4LUSnlTjDmO6ur85cO8XUr5akGFUnGPm+jhzELz6r0V4tABS50Q5ComUR08GyG2eEOQJ6a5CnE8AJoiks6WCGvEUmpqqsvkLBAmqwdfGJ103ImbDtqEb3i9u2XZf68DNh64sYrn4O5cU7/9/rvrb7yuUFUMIaMJgLPTpUkpzTHPy7vttOu4U08ff9r4caeOG3fqGeNPHX8G82kTzjhtwoTRZ04Yc+aZYyacOeaMM8ecedbYs84Ye9bEsWefNfrsiWPOnjThnB7dmv+1WHKcpqiKf4u80q1atTKxBIaqBtFDDjh44Hob8Rqyz55717esX12V5TH/5ruvIzeFmfCHIIooNYHJfw3YysiC4hft34hhvPzqK+dfPPnCKy6afMVFF1518UVXXXTJlRddctXFF1950UVXXHTx5RdfcsUll1xx6aVXXXr5lMuvuObKK6+94srrp1xx/VVTpk559c2XQ8ajwBtuZtE8ugqpVMLw7OUEhH69+w3betiwrYYN3XKbbbfYepvNt9l6yNZbbLLF5oM2HzJwyGYDNx30u4GFrFDJi5QqBXXs0GnIwE03HbTpJoM322xjh8032XyzTTbfYuPNNx+82ZCBQwb0HlBTXWOWV9dUY1IxB1HJVHSTjTc5/pgTWrVoHTkTufTr02/vkfu0rm8rZCRinHOVBUsWTTznrMhJSyBpKHMUNRUTDpgfRWdZ8OOKTJ3tMrj+6y5f/EUv3ZABqtq5Y+dbp91aU2yRl4zoxVB99eVX88LdrEF0kYWLF955351ffv2l7xpmq0FFQ/pDyxi5HLb/wUceeMThBxx++L6HHLbvIYfue/AhPh966D6HHLrPwQfvc8gh+xx8qHOYV8M+Bx+yz0GHHXgYv0VTXSUunQGJwvaAqmkQsVSlr6L+qPdihfuOwApXNc2SBjwxPAitE+ebSysINxayaIp7V3FbEbyBNNNmZCIMfJhfoEhV8QBKSq7oEjwRAhWxqDiRClMrTEIkxPgxBzsHTwSpo2lfgiifdSCTTnNKOCGG4JCo7hy5l2zOUhWWdIHJ6oFjVe9TMwMHQDPhCxRF4lodE2NxNheZi58gUPEa1khwmIkJSQg7weeoRKArqq7oFwi2uBXxuwtlVNHzIMptjGYWNGNoFkKmoagUHKgbVXyb0CLlSmTMcx6JzJbH5UuXNTU1mMjaPXqSkkVBmJtGniiluOGAjXr26NmuddsQeFB7TAVTlUz8VlZRCaoq4peJiqrXGQKPepPKPnm7PXNlwIMUhqHL4tqKotI1jFFRl6AnSuFsS6JFkLgTqeiiDWV0IKCKltAemJ5UYBMtRyx48iuCp7RAsG9WBctjLMWc52ypXCqXS6XIUmoqNzkS86a8XOb7l1g2miJcHoYjaxJIwiQCuZVzizHmebm89Z5baJ3mZOGKohoyCcVS1cev/OvK06aeeegF5x192TMzXiwtyquyGtXM8xQ+QYkUbfj+25VKJSr+7vMfVixoyNjTEEQoOtSGurdf+Hv0Tz3WrU+XvoN6WWaq1B0VA5GCFQurap+7/dXJR141Yf8LJh12yZ9mvmIrskLw771Eaa3mYh3WbvO7IQPycom9JXNh0A+6pxbL8Y2n3lr+06qCZPCyFtmWuw2pa1lDhZQdYZmt3bd7yfx/NTyTbMHcxa8+8pflC1eVV+ZL563464t/4xVfSSaEUAxrdenASuONPihhuHwTJaiPIAooTETAGsRuunlqr37rdO7epes6Xbus060z0LNr555duvbs0gVk7a5denbuArlO167rdOvWq1v3Xt279+7RrXe3br27jz1j7LLlS5WIZCtG1RxQ1YxjQRrMlTCU06/3gMcffOyrT7789h9fffdpgn9+8/2/vgO+/dc33/7r2+8++/77z7/7/rNv5/j83fefQ34/53Ngzusvv85XEiRtXAmMWJwGgDAOHL4kkErAmIigEjnNKukYKg9HA1esgKi8EvTp07eurkVS/vd04603Dtxq4Aljjr9u+rUPPPHg86/86eW/zJ79+vOPPPvHabdPO/2c07fbdfuxE05fsHABblab+YfJ7bYdWi6X1zAttx5du69WYNXGUtOUG64evseO51wy6a6H7/7Ta8+9+tarb7zz+htv//m1t159/tXn7n/8vmumTTnh1OM3HLzh8y++sKZejLMs69i+I58PKRcSoKvUR0mocdrgiKjRAQuyekA7ig17JC42y+lEpYEiom6JzEjbIgc2oASNoT8ThZF6qPQwQogofyLecDN23k+rKOrco8GdwDPjBChKhDG/IlPaMsG7uJalJCo8jA0XDsgq9xgWUmG4HyygTBiRWjTZmURk+BcWJIhVVMGS2Fcu1JkJIcjUE8UCVREvQVL7ArOoKLcIbE2Xz0K2SVstnSXxDnh9PJdMVJK+RVKS1cMivlJe2IomUTCk+BFMaZEvYo4EUY2QIl4RhStPUoUKIkG4jbSgPGgkE6GhWRaYFf9B0whZFkKmIUBxuJ985KnnHntu1+E7Z0GyTLOQhaAuzUIIEgqOwhVwnKtICMqf+MtGZqL8EVpMwVTpron44zY3y/PPv/nivOvOO/2yMadfNnrsVaeNufrUMVefNvbq08ZfNWbBsgWRLkcTM00WUJjiAkQVniAiF9VCUkEtMYXa1YdHyn0Sp2CLJMykWFVcp2ev9fut379PvwF9Bgzw//vX/uv17rOe45D9+/bqk4WsHEuLli+SQBKxW8cuYrJkyeIff5pL4AiPOLDEB7F9QcDCmTXSdiKyc2b0n8DmH5fUNVVCIVuxauX8BfPYy26dulW6uLJxeTkviWjHDh3NTwV2ZG7qZZmo/wX21KIwFI6LDCTQ2aAimRLUaIsqn1AlGDRWgCks4W2ucBrUVSou3IkgFx/wsbWYF4tFVKhDxHl4aVXf5sRj/3DoAYewz4iCiZSlRVWL0SeObtumnXDKhKH87rHxoI0PPvgQDgcnRRVT+KvBSCOQoqoSKM/zUlMey7nlkpdjXrIECSnHcjk6syzlspWaypGXcH7cKOcSJfq3ge6TLHxJl+FclLiZd+LfkqCBzySTJkzCG4rdu3bbY5fdM0FJg2qrFi3btmkDP2LPkyqyYXmMhj1lMiMCKEMZdDSouB03HUJFVAGIN99+k89Rl1192eXXXA5cds3ll1x96SVTLrnkqksvueqSi6+85MLLL5x86eQLLp583kXnn3/RBRdcfNEFl1w4+ZKLLrhk8sxZt2cFjrFxa6TYnk3zxWK+5XwcOuHYE554+MknHn7iqUefevrRp4FnH3vmuceef/6JF2Y/Ccye/dTszh06r0mJrMD333u/12a/9tIzL7309Iuzn3rxxadeQu2lp2a/+PRLLz3z8mt/emX61FvX7dnL8ry2plbFdzwZOtqvT98zx565Qb/fWYm2lEkv5vGA/Q8YuOGg4KMgir61b9duQN/18sjtlkyJKqIOypaDJZxnAtq0Ll993/BMszRQkcjjhqOQZEGzXj16TZ1yQ49OPdg4P/GqMeZs3xmjx635PCkidTW1a3fvQffAfwvmflTYymiRM9XYNH70GTdeM/Wm6266+YZbb71++s3XT59+Pcgtt0DecOt0yKnTb73x1lunTp8+bfqMabdNv3H6bdNum3HT7bdPv2NA//4V58ltBQ1pMQ/BnkW/EeEoDYAEhNuNYj133z8/98iBgIlnh4ULeC6gxg2RWk8n3AMNS/4VAl2fsRSkIhUBflWhFSZNpo2OeFwR2OIjWaMgmXMccW7FgSl+RZQhPgIMX8XVKkyiWuSBweoZIjVDAllBhdTBAFLCDAA3nnSSvFiFIZRuMAwEtBKX4CDmPFfDLRoiqqLMCUQcx0LEET8sATk4IegXJavAUGVBDT+AgOEZAEHL6XQps0MKSeoaMFYLLBzljCOn4IUQCKIuwq3gkDDM0VHcpU2L1rK2ZVXRvzP77PPPFy5eFPhqqQoPwpsU9Ht2W/u0E0ZfdPaFu++6e3paefuMTrrbIEF4kpBGyhFWch0y+IRUwgeXqEsc8aTptAbCO4hSGeYBbTB8O8M1YXIexfneWSMk2QQV/4OShDCbuI5gbUpxwtFzQ0lDmRMXBOei/LmmGH9+N5lxgi1GfDcDYoHnd7BzJFkoi18SvPIURgIS8yJczSTG2Gat+l0OHpZnzQ91QxiUv6pQ0zLjg0uLFqFVXdaioAX1LA2nJjEP5UHbb9Cjf9eY+2Nn5bKGvOQiEVFVEeZQWlletnS5qMRg2+25TbsercvmUYwyRCRopv6RrEUgSm1LohRaVGkRZlAvP0rM6nSL3TZp3bEleWIheCZvNzdVnfvFT5+88U9rTHQmfQb36jOwV9QcFTokxLU4YNN+WiOm0VSKWfEvT//t7ssefPjGp+6+6qF/vPmZ8R2SxHLMO/RoB5hSglA8tqokiBEgWhlZEDogleGaFaypVFqxcsWKVSuYV65asQpoWLWqgWXlilXLV65avmIVyMrlq1YsX7V82crlS1csX7p86dLly5YsX7qycRV3qzU7jmLkaRIrzpXAJkZMVXZXilqsCtVFrSpUQAoFKRSN24D3C8VCLGSRF7FiiFlBiv5RlorhaJEPRYVCVsn2tzNucayrh7ksTXC9gzRSiU8OlcZUcLjiV7QYd9p+eN91++LATZsvLG3uzz8++OiDF11+0SljTzny2CMPOeKQw44+7IST/3Du5Ekz75zx0Scflv2dVrNBWnSD9Tbg2182AzLF17yc7zVyr6r0n8HAFMKLNDQ2vPP+O1NvvfG08acdetQh+xy8z94H7bXXQXvtc9A+Bx150AmnnHD+JRfc/eDd38z5hrSTlU+cqPqW9UO3GRqUXnv6SNlan6G4s0X5QzXVTySj7U7SAI0uCpoOBHwxL9j1LXB/mooobjUErTQZVVEMfSVrNXVQIbRioi5UkcqiqxekkrxjlkLiUypSOJzNCg5LcCLiSLoogAjQJj54yeCVL6WvTmuFXcFJK5CNp4KtMnyRij25WkUNO3UsYAsCwBE8izgOt4IwGxwThu+7eGZOYayicIVEOC30SRgVjit454Q3kwKhZKSIAMPIjwkezQAAEABJREFUXFEdUXeHA3/pcQUjPaTKomk1Zi5mbMyUDVDBwEyUQakqyr5wsYLDDhIUUDKg5fhxEB8miB14LeBmR4qm5wafTqgpiGkIruO44kTwhxreRKT5PJk0k3hk42icZFmxY7u1Onfo0qVjt25r9ei+Vneg21rdu3bqyscPb0T0icSxqXhibgYlmBCdMyWE8DgCC7Z7dxJhQDkJ08oEqPAqOfqEU++6+a47p901a9qsWdPuuH3a7TOn3QHcceMds26adduNt3bp1KUUSz8v+Ilb2nLpvXbfgma/zP/l8y8/s+gR2ECcgbl/I5YHhyNBPAfngKg6yQxPEh40hFAIP8//5bvvv88k26DPBoIk0yUrljSVmngf2XOddcxEVdMrcjR/9kU2UCg1gSN+KZmIBK9VsJDo96ykwQ6xmqAmaZgFXMCgWWKK3C2SCP/qSDT8OZCDNRsakm5duo0/7XR+faop1sQ8CvuYCW/fYrShWw899IBDxeCF+lb1B+y773133rvxoMGqoqru9LeXatTmqJb4iivvoKX04Zm4ESQ1KYRjZiRB9m7hPl2DiE7+5iJ5p1RClmnyIiKFQmG7rYdef/V1tVV1IhgHy+24o4+rqarLskKfXn3GnjJm/733F9NIQKERFsWkGRQTSQOWiPIXVBXMJ7RgQ8nqoVLhr6ZZ0aCECkAmsArTI1KYmwS31EprfHENqZBJFzOaYFZuLDWubGpaWWpc1dS4qtS0qlTiLUZDU95QzhvyckMeyxYy9sYLkNXZUBuiMsorm0orS00r8VBuWgWUSquamlY1lfBQjgStq64lnlSGyobrb3DhpAt33XHXcsk/D3MrkgUHoF279if+4UR6KypZlg3cYKOLz7tw8qQLeS8haRgCEKoKmoY/KOiXg7ogULiYbzAHQkjQUHMpQnYtZIM3HHjJeRcPH7qD5bnxDg5+EA4ZmRx+4GH8RgcD6Ni+48nHnTx50uSe3dcmNzhrABJI5wqeclb5xE6xQKmh1NRYKjUyl5say6UKNJXgOzSWm1aVGvgJe2WpcUWpaVUTH/ZUCY8fsTVZiih/wjCpSNXgGAxAA7jfrKqS1GivmROmoqqCH3YYLTAxGAAJYwKBGCRJUlxkIjAxQkoIP1GuAc+EuCZpIFQGaol0qXe5YkovFI6iLxXE47qlujaIr2ZRVRPDiAJS2SwQSLcTAqOZACMEIgFmQnyiLicVXAULBXGorJpslCEI1VMGWZ2yNA9tVhblz3naHMNUKpyEQEhlqDquyblzSF5cUV1PcA8jCZ1Wk8AOYaGMjAeyQsICgwKXAKU8nkQUtTS7ZaWJJj3X7rFOj3VUw4effHjF1Zf/86tPY1b2/2K4thiKWQjZiJ1HHHHAkTWh1o+vWXKiwp+KDzJQmE7QTlHVIIEuZlwKpgEWENAwGh8tqQl8dk1QEbhpK6kKJTFVSEsTLF47BLV0uQRc6YLT6mL0wXnayJqBvIInuStUOGbUYBEZ3pkFX2LCi42nYAy6Ijj3RM2FSAlSgUxCCJkG5OIyEBaDxDteS6XSFrttuvHwDcvBPwjBdFGl+6qFEIIGxcLBSIAHdFnLvQZ235YfxAoCB++1Lap4TVVVYTCBqIRiqK2tNdVosW3n1vscP6K+a4uSlM0VJKmoKohmElQ1CJMSXXyyPCttsO2AgdtuoBm9B7xaQaYqGptWld59+YNFc5dkmd8gNW2qNt1hUF2bOh40qIr7Eh5d7Tq33WzHTZpiE0EppTqrWThn2dcfzFn4/aIsFgMx8Vhl6w/p16FrO/LEUESIIAQR1YCKMliZTdTZovKfw+w/aflv+r/Ea0hSqoQwVZ4UmFFkAi8CNypqgUkILD5V+K4tdMpVjU0ExFxkpJKYHAmYTiLAgapP2DiAizoi4igahrWsGU4gJ51mFi6lQrmihmQVc1uv73pnjB7fvk17FRUHWTNQx4rTEiWWJS8b71xyOGsU1iBY9l6n94QxZ3Rdyz+6owOQf16KQ7cauu/IfbKQrVFejST3dEDIgj3nNSquFqUVp5VV07Cwz55777j98LxEDi5IIURoJB2OeBMfzVzxBrAfFScWECGxilZiQorQcHPvwnCZXzhEAYBXAUUPDGHC2BJQGKqevgoWUKJCIiK0VkWgOA++gBFLJUhFP9kmDQ8tjokEFR/mpOKGS8DVhKGV4bR6TTBV4QsIrh0ThA7iw4XklFTS5BIDU/YdG2V45mIJUVhuJoKK+IADgJmzUFIkphCW7ATML9gwVVUqY/UqEhKD5DwPhaisjuFC8bW6i8qQyiXCfogIWS5fufyvf/vr7JdeeOnVF1/7y6tvvvPGX97686t/fvnF11+a/dqLMF98dbbDKy+88OoLs1+dPfvVF1547fkXX5v9wmuzn3919guvPr+aP3v2K8/PfmX28688/8LLzz/30vN/eum551587k8vPvf8S8CfXnjl+Y//9VHMch6UAM/AkAUlTxIm/XRifDLp3LbT/jsdeOQevz9qj2OOHnHsMXseDxzr83Gtaup5b5fuEO6UyMkXoRbBB2DImlttgufA5SsXnom1mhaBRYM5zElRfBjPtPpWbXr2WKfXOr179Vx3nbV7Ma/bs++6a/fu1b1Xz2491+uzXt91e+ex/NOCn/iGiOZ2ade1W8ceS5cvff/j95ndv7vicpSL5kMQijmSBJhxQSFUZQJNHOVFKtgXX37+9Vdf1RbrBv1uY7HAe875i+etamrozifNTmtFnlP+CMcGS/MiCGDGbipnWRIHp/5TATqiDKJRplNcakwCn0t8eIswbeb4mYdCyfAlfMiQiG9X5KlRLBTVUW3bus1+e+1347U3nnbCKTWFmlgmgIlGSlAcohR1/OhxGwzYgMfU2FPHXHLBpT27rU3yqkHE33OZSWWkBEU1hfPV2eZBSdXIx9RTEOTKhVnadLjI4ZpqML8JIFVUVUT5k9XD8AUjaMbgwIWsTX2bQw489PKLL+uzTp/Ig9bw6YVutMFGQ7faZucddrrq0itPP+303r3WxT2uXNzsTRmgKgRUBWsGjp4yJATX/41AoDmjFuW34z8UmgWJRyp0kqdubsbsz+rKPpADgCq74IilXjC7mVeOJVKht2rqTNCgIfhF4ZljsAGKcg8slUYmRUUvQ0kdcRxEJKhmEgpZdU2Noibavk27ow498qbrpo3YdUQsRb9h8MUZzSOdLDc07brjTkO33Ka6WI3CNVdcfdC+B1FHwJHgQBiUY+BQnqejpGskg4zkAzIIPyFsiVEte572v0Pb9scfffx1V1zLZ7xMskiH0KANVEv7Tdq3a3/kYUe2blm/xSabX3fldeNPHde5fafI/kryKc3DaHBzs4wscE/0JFMQJL44tzlTY5AYNUbD1tDwDUUK10LIku2/J1J3mReBexNyc9x88lSlwoEUhqpC44mFoM7hgmYmkluBSQjIg2OupKpSUREVcADawbGKmqhHgNY05H8M5Gt44MplqSEiqhDiw5FmppO4JCPHFCVW9SGiwjBEqXfsCWQF/ENJkkrSbEZdZr+5JzTxVYPSLYcUk056taIude9uRgq++P1kSBAR0yQdERFITFWSibBPioBnoTAQMFdExsC3wvCLhX6ybaYaQhDNlBE8H/hOZU4jUgFxnVBwhAtbZhe5zFrUtTjmqGP4wn7FiuW33j5930P2G7778AOPPPC8y8/nVXNFeYVmIcYcXTLDEPNA2SwiMAEhb60kh1cvTdADgoYsCwEIFYtUhHGDYRJpUDBUxBTSTUR4QRFNlNDVJEiTQCoCbPAvAimhWeI4nTfRuJrjuCr6klIDccIvtwrORWCEIAvzfbX0/EYAnxlVr8icwhpOEAVUA68ZcNBnlvSfbLMNKHgKFoqy8yHbb7LThnnBPwihgnfC8KoQWVT4M/UqosRGbew5qOvI3+/KxyfjyalCO3r069aiXQ3Silcx4YvSfoP61tRXexDRciyvPaDLoeP27dyvY5P5Jx8iU7uoKjaqIt5sU7aLT2PllfmyjXfeYOdDh+GBZCRpp7qoLmaa/fCvuR+++nFmwVTLUuo9qJf/qGX+nwvijyNJXOZybNr94OFd+q5VWv1xiy8yC6FQVP+gpYEX/ti9f6ctd9401AQVDcLesmoaQUElXUjMEVrvnv8fL3UpefpSuVQTr0LQnWbEFyVL4z7De0AJEAVnpQ7z4D6ltFT9NVgVBVNVeCoSSNkkgAj9QZeHpYgCBtO7yx4KA3fMqwEF8vBIcNQkPeQxS3xl52ERAo7BUlbyxEK4LDVB0SDxPXba45F7Hxmy0aZJh5D4+y2g4ieH6MBvBQnXoNmQwZtNnXL9HjvtpsbNkLSYIETqqqrPn3je0Yce1aKmpXgO8u9B48jl3/R/YiTXrK/1LVpfMPG8yZMuaFHTIsao4mcsuffE1JvHJKudmWuIePHO8vKhzEBwiqbSfy7hUmG4wBGDT+L+NMAZ6eEJL2yBohu40HQJogqw4UgRAJxwmuGaIgEzWJIugTAuFQYr6cVKBWKJ52wuKGPhCngHQ6iGASGNvBCwwBQuNZKVUNGCbVFMhONFneiKuQK5acUVJiAw3TXqKghU3IG6e3FjjwUlzvBVVV0NNgg3GkiFFhWiwxRU/dIAi7BoqCLkfEE5JuQAVwSuCRz1DJzUIEJ8M5LmaBpSw51xhOJTf3rquJOOO3n8KSeeftLxp55wzInHHnPScX8YfeIpY04+5fSTTx0HnHLquFP4afS0cSBOnjLu1FPHn3bqGaedduZpp00Yfeq4U08+/eSTx6J/yimnn8LPsyeNOwWdk8edetL4k/F8Esi4k086/aRDfn/I3Q/d8/Xcb76Z8/VXc7764tvP//XFv1Y2rBTlT7g0jbpibc+O6/Tu0rdP1759Hfr169avX/cBfbv1LWo1vyb5TUXdMVKEt1N8UL2KMMNUMAQQIJwWk5Bmr1oqgz1C0bcwsqHReyLGTorhA0MYMMuWl3P/0gGcbY82dMuhuJy/ZN7cX+cSpaDFoZsMlSh//uufv/7ua1M35sJ1CgMtKZJTEMRDxGyVBbfiUdEJIaxaufLFF2evWLp8wDr912rbWUxWNi7/ZdEvPJCHDRseqIGXIwxFwPErXGwpeShb7YRUhlGAGE5dpKou8kkIi0aglGbUGSjCdHAK/5wLgRkUN2rMgiC3jm07bjZoyLkTznn8wceuuezq7bfcXsshfdAS0QCYR6TXnLHYrnW766645vop15124mn+z1piLqaMgKZlGMjqUUmMQ0xk4iQtP6koO4hxA4hfbEnSElM6Lj5w5lYqKCmOVBW2cTVD5LioZRqqq2vatm6395573z3z7ssnXzag73oSm3WNESVGu+HaG26+btrwbXeoLlbz2ocLJCkkHlFWcfdEV0SaCBAHZbKgqsJ+OM6VAMO0/nb633i/kSPmZPMpoZzH3DicyP6dhKoX661gc4S2gLI4QWKmqiKeWZYphz6B0CJFk4U4x/cAABAASURBVAUUBcBxE7iqSt6+eyBgyhsocWYGX6jGrEfX7oN/N4gvCh+5/5HLLrhs0O82yvkaLpq4HnMU0ovCSShq1YUXXHjJ+Rdfe8U1m/AyFzPSz0KQylDDwghtygREWY2Jc8xrcQR1wzJaXU0t31GeefpZzz327AVnnTfwd4OwiNwxmnyiK0ZlrEGzYVtvP+2aabdeP3237XevCtV8/2juEA33jk8gMTif5jiXijICi+DHM3WcMwwkNeLwvolZUQCCqCQL73iQ/x6kRl2Av7SZVyeClgreBTZx4eIA8MScrdFwKVzqeqwuwbZiiECwVAIixgCJRHG8MiFFjg8QPxwsidAI5pKk6jg+AMc8QroEH7TJzBFhQDBXTFICbC5C1EQUtqpPoOTjmQiDQMoQqYhEWYURKs7AKlDRR6prhrgqFEfB++35W4CppsoSmg2TJ5JM/YVnyIxV6If4MBgcXXbP3VC1M4X3vDHd5qgZnEAxLtO0oik4VDgpGhHF3cDwBZ4KVUpQ5emcSZIno4AAUn0gcshCyHiRkZ2H73j9FdfW1bRobGiYM+f7dz9878lnn5xy/VX7Hb7ftjtt88Lrz2e1mRY1VGeSBQkSjZrxJ6REu1QkqMIicBDVLCN1iXlGZmrQKs7WNETEbwQTRUklp0uCH08DSUSTlrhIzRHBp6gwokRaoRWRYhNholTBVLnvgwgCXJALfi2RIPjPaamZS0UqryXkzksZOiJ8LSFCV6mlmfaOJWvhJ52c0FHyRlnRIMtXyapGQBvKGV/d+L4TWhiKi5jnVtumZtRxu+95/M6htZWzJuF5QpYqhifLcylHzZtCU6mwcof9t/z92Ye16do69466hkjeZ8Nemw4bWCo0xZBHy0vSWLtW1UEn712KJeP5Il4DTjr37vj7cw7edPdBpZqmUihF5czEGBCbqu+PR5FVVR316EmH7POHETWtCv4WhDwdSEggQTPJHpn1ZOOqxpI2NeqqxqpVux48XAq4wA9yGupbE3PL81hokR0yer9O/To0WWMUXn2i4YakxRqtYa2+7Q8fe2Bde37/pNNReO2nJyLKHIzJRIRFJQQV89YVMh+/nZ1OFy9m8EPCfQKrAMergoSQ+V/GDKip5SmKeRzzSKIcCiKKaBBGEHWMRUkgKDZwxXU1EaYKQ0XToLhECWdOLGCiKiHLCoTL+EIPlEd4yOik4sNQEBEv1cgBEAwrZOSwRijRKKaKpluImqIjGAsm4JtsNPi5p567ccrUDfqvX1tdW8wKIQTVoKLyn0PTyEIoFgo11bWDNhh06w23vPj0i9ttsZ1K8JOdEjDxgXOS7N6l2/VXXvfg3Q/ssM0OddW1VYUqagkhU1HV4P5AKuCEhkCFWSHLqorFTh06HXv4MX958c+nn3p6XXWLmLtj3AaalAKpBVM8RY/XfNF9MD8/akLlEADtF1ERCcakfuEkcUTSNghMRS0mRPELJQyjcdxmqsmzmqgEdMVdqYhHEhMJybNjXNigpEjRFrwaWwATCDCVp1QImIqP4JMgwjcHKlGCnQWmynOC4O6MOwRBLuYPFtKiF5YjC4QQIkRpHoo2KD7JnOQAcR3BoiIDEYmpcsIoGPqAIVbWCiS7pFrJzXvmElZEqAopgokIPVEWoRFBfYiSIWZEiSbKn4M7U/SMK0GMkKiSmnBxZPIff/3px19+XLRg0bKFK5YuXLFkwbKl85ctAxauWLlw1fKFq1Ysdli+eOWqxQ3AysUNjQlKixubFjcBkE2LGpsWlRoXNTXCXNJUBhY35oub8sWlfGm5aWnTqsWrFs5f9P0Pc/iQNniLwYO23njjbTcest2QQVsOfufdt4OZp69CakDQLDDUhxjMQM99xy2jIjPx9+2CiaaiTKiavYQBzY3hIpi+5ZnyxATh4KAhcJEz48NogCreuTC1yIayomNJFa0gokC6VIOK6siRe2Wh+OvieV/M/Syq8czebIPNOrZs//U3Xz/x7BONkS/gzL2imsJibioMMhd8UycEGp4HIXAhvmOqxWL2z8/++cRTTxVDcehm24U8kMavS+bNnceHOt1/3/3LjWVYOAicJJIlRPIssMw4kck9QYzhxRkSdcVgxDQmBJ6N8/5NISMF6GZTV4SHblQ6wIpA8lJ5h+2HvfbCa2eOOWvQeoNbVtdbOUY+C6TIIvgk3xD8xlVcxDzffOPNd91hlyopWikKJ898X6sKxZpCobpQrOKpk1WxsyhjEMihUoBZpEBxwhjiBEdbRcmKpnqmNNBJOKaS0QCFxEyUQX8qM4jl4sNs7S7d//bG2/fOvGeHbYe1qG2R+BELNF1BLJbjWh3W4vOYUUcueVOsLtZUFWuqi9XFYlV1sSqPZXIKGgqVl64Co1gIBTFjM/2eFH+KJG6xqlBVXSgCVYVisdD8V8GLhaqqAtJmqCpWVxeqCoUq+EXvSXUxK1Yg04w8vTShbkDprpnAIW0DA1RoFbjxcizouBiNSK6pL6xkGERdManSbcdNAvpBVEIIBbqcwEm3pSZhtXKpdMa4cW//+e0LJ100ZOCQFlV1kbdFUdIwiWqOWYqi5abyhgM2OO7IY9u1bGdlmNFizLKsWCgUC5WiCsUCsSTPI3cxpmQuElJyFkgPC4oyAkCG44854d2//P38M8/tv+6AYlYdeadmXmOKGrCFUqyoMFrXzp1H7ronv6CyJSrp5JsUs0KVx2QXvO2QtNTjiqlq4MU9EAzUgYwRRWVKkHliUM5nEVEFVFOrRTWI/mYESDGRxBTxRUQ0QfKJN1Whza5E8sqAFPygpLJ6JGUIM3aQVVDyitVXrmQuPnAi7IFqhRAxVcdDotloVuIxJ81kiFdtHvBVcahpQDmOEzA4UaOqCDkA3J/g4gMvZtHcD7oEYaeQwSas5xmhXFGCENwQOMWWKo86tqpiHFkikzPMCIEejSYqM4W4DbUZbMIIPoHE5N1ABUXRpQFr7F2LyzmoabLwLA1MRUhFGNgkXQ8r+BcXiQsNKYggiSQrqKWdgQ4uoxmAOMqR4YChIGjhQES8cMQam/JD9j/khSeeO+LAI4ZsvNkG623Qp1efTh06FwtV33z33VHHHfXIk49lNUXsvAwV1Sj0xb26uXh4FXGApu1BTDlwKqoqa4a3xcSbL4YJTkxwg6Yq7UCP92sIKBdV865iDUCJRzZUAEhDCoc0oIFoZpHHsfkAgUULEkQ8Cu4xRsWBVwBRSJTgI0dPhf55YImSRMoC7Toh02zToYMPPG3ffU7bc+/Tdt9n9B77jRk5bO9tqmqqPF5S5WS4nUoeLWblITsPOuvG0SP/sEvfrXp16Numvkddy661rbrVtlm3ZY/BXXY4ZOszp40ZfvB2ZS2Vc57RVkkoqpSlPHz/7Q8bt3//rdbtuUnXrfba9KQLjqnr0MIqzwAVCRqjYFVVX9j7+F1PueKYrfYZ0vl3HVutXVfXpbpF16oW3Wva9GnZb+te+5w6Yty1p/bdvHdDuTH3okV4nWAyCBUBbOXKhu332Hqfk0aNOnGPvU8cccK5R7foUJtbOUnpi5igHNHNY16OpbZdWx1z1qG7HL59l/U71Hdv0bJLXeseLdYe2HnvE3c/9aLjivVZpIFq6oNgvnAJeyVpUsUVqIaw2cabnTfhvAvOPP+8Ceczn38m83lpPv/8CeedN+Hc884497zxk84dN+mc08852//Xe886c8yZE8ZMmDB6wpmnTZhw6oTxp4w74w+njz1xzJgTRu8wdFgWAtuBcw4IVYpw1HxvhOMlmjgCitQ8SYrKDCVSIlNDO4oPE+E5j37wYyyigpHy8YVetKhtuecuI447+rjjjj7+eOCoE4476rg2rdqU8zw333k8Kw5w5qmAxUSK4ofAYppEnhYCp/w+VaSkIVrKYybZUYcc8cbsP7/81IvXXHrNqcefesBeB+w6fNdh2wwbusXQbTffdrsthw7fdoc9dtz9kH0PHn/a+Fuuu+XNF9/48/OvHrT3AVbKS01NFqMHF7aP1Zx0VGMp8o5h2FZDn33kqY/f+vDeGXfxXeDxRx53wKgDRuw8Yrcddtt52M47b7/TLsN23m3HXffeY+/DDzic3l5z6dXPPvz0B399/7rLr127y9pNDaXg1XjGrMYIpC8UThDhuZokTCLCeWY2hFQd2A606QkMU3+uihg9py9wONQoOenNkaSJdDU47VruzwxjCFeiVoF0ljPdF13FkzUPD87OSBQeOBI196RIRVBF5rZumILCM4oSiYJI0ALh7BoYMnfA4iKBhQ6V0w1m0lJYxBT8q4/kCLckCltNEoNFJD1s0IEggHG+0EBPuHt4Bka8i4mm2kxAiOrpig8sRAzH4j5ldVJ4N4XLeULV/XHhwbxCg9Vsp+LlQguJinvHQhRb9TzgUI6DMuFUeL+7zaDtp4y//tpxN1w7duq1Y2+4Zsz114y54erR11/jcAPztaOZp14zZuq1wNip16B5xvXXTrjhmglTrzvjxmvHT712/A3AdfBPv/G6cTddN/6m68+46Tpg/I3Xj5s6+cRLB/UdTHHt27br16dvv959+/bu33fdfgN696upqonsgAapZEhSnqtoUFVRFhOODoXSI6FzVJbAcGeuYZh7wzKURYOIRvgiohaxdBFXoEVm3Diw3FQUBQGrQFCPp5mGgqCN1PgRSSNvd7Uo4qC8q++59jo7Dhu+smnlJ19/smDpAhFtUWg1fLMda7LqO++58403Xy0UM1WVCohGfHkAavD0PX8RkrCkEvlqTnxoMfw6/9dzJp3duKqhf88Bfbv3461qOZa+/uGrn+f91L9v/y0326rs9z1PKYAGifg+G0eSGozVIxo4At9mJSoRU3x/RJnAUYaJYJpAVdwA66AKLqpp9nscJB1UTgdJ00mxpsZyw4qGUmMTb3kVQ5SDqaqoVAZxcegigkXlkVku5bSc15W8qRybSgM32Oii8ydfdvFll19yBXDFJVfsO2qfmuqqyJ54puKh8Oa3s5A9uUYCgUJIiqQM2ARkJnMeH7kQDh2T7bccuu8e++y9xz7M+4zYB1h/vfXpdm7m/xRnZalxOS+VJeOzn2EoISj3iPERPpgEAgtcqstL+agRox6//9EngQcff/qPTz7x0OObDN6kvnX98b8/ju+8brvh1unX3Tz9+lsnTTinY9sObsmuxjhqj5HTr59++4233zFtxu3Tbne4ccbtN952xw0zbr9h+ozrK3DrbdffOv366bdedwvP9luvuXna1dNuunLqjZdfP/Xy62647NprLrnm6ounXHXRlMMOOpyfVcmfLqfqm1HKNaoXAXE+q7JZIulGYLHENcPOaIxItvkmmw/batgO2wzbYesdhm8zHOjfpx8yEXUngq5TdNuEbQyCmSmdZfuaGsoNy1c1rmxkNyMpiLoUBay41SAcUDSLMed0lNg/PCE2NRux6+533jrr7tvuumv6ncAdt8zab68DeAEu5yUrR4tmxktrTrLEWa7qAAAQAElEQVQxRqONlnhRYh7zxrxxRVPjyqZyOScquyNCgoLfoBY4Cx5EWE0s5g4i7GmQjM2VQQMHXnvF1YS+Z8Zd96QEzp0wSfymwyLgitAigmfHfQWNyGgcHMDwawZXDD1WQOADhOO99J477TFi5z322HnEHjvvseuOu/VZt6+YYYSSCNWTMkUJPqEiZgjBTNwRLiRHvQIRS2EQDoYjqLPATnRMs6IGkwPrUvbKvRk2MIGKzpoEKhwjnHpASKnoo2fC8HU1kkhRfDrXD1OMHo1OafQDZq7JBXhp9IRAQZC7nqV9E4s8aXAF8ExHlTyNkSwEF+oGno0SS5iE0bwINDpY4ZkniZqq4ICkYSt8KDF4oIZMkaDqLFw7pq6O1BVFUBGGwQVQYRa/RDWoEAJeBVAjRtojVolJhsijsriAMDiEwD9nUIReibLAEgZsEY3lfNB6g6ZeecOj9zxy/4z7Zk6dceXFlx128KFrrbVWQ8OqsyZN4Jmuwe1QJoqI4NURLjyyxZ4AdVT8IRYweig0MYkSiUJQVTdGILQVe09LscCPGwg0RhwXykhZBqSCKccSLxgbW4sKtnBFkyv1hqGFF0QQKkgsycBMKsO5pt4ppMIhcBCkgGDrDtE0cUWOEickSuy09lqDtttoo6G/G7j9BoO232DwsA17D1wnZBRmbqDm6n7FaDFG402vtpDBOw486PR9jj3/8KMmHXLoWfsfdtb+vz/vsCPPOmi7fbaqbV/dWG6MPFQIhgvP148CDShJU7/Neh88dr+jJx66+xE7tu7cIrcmQy1w0Y9IHF94cOVNHXu02/nQYcefd+Rx5x1x5MQDDzvzgKPOOej4yUcedPre5BlqpVQuRUOdi/s2r1Rq5jzyLFSFTYdvvMlOGw0eviGw9vrdy1ZyqVcWHfHAGBGUIq1sparWhaF7bXHMOYcfdfZBh5+5H+GOOuugTYZvVApNfht52/wiVxZmBzaKPVRVUlfVwJUNHjh47Cljx5489vTKfNLpY08Gxo45aTXzlHHjTh1/xugzJpx2xpljJvCN6cTTJ549buKk8eecc8akSRPOO+/M886beO4FEydPPmfyPiP2rS7WGm0U9YikDJhnD018UeW0wWMlASdFRL2ntB8MQJMZG/RNotEEDABK50xFq29Rf+ofTrnmimuuvmLK1ZdP8fmyKXzfaTzrMcMRPTWierswEjiSQiFVvHIaHYOlKVVCqHpYuOhy5tmZcqkcom4wYIOjDzvq0vMuvn3abQ/e+cBj9z76+H2PPnH/Y0888Nij9z36wKz7p0+99dwJ5+4/ar91e6ybN+Z8oLZIrg5CDoD4MKOSiNsK8PLc1NDUsf1auw7fbexJY6dcOuWOm2c8cMe9D931wMN3P/TwPX98+O4/Pjjrwbun33XztTdNPmfy0Yf9fsjgzeqKdaXGcoxRVSNelVpI2TOHEuoRFVVYVGGeQgUVSOUSo38QFXCOK8MMpCcmKskjPUnGcOiUQrIIsbA2bJULIyByOV9Q8IRcStXig8ojl2CIlACanKLGigs4qOMA0vWccLTZHkEQVbwHTwAuqIiowBOKUSbFMwtm5IoDQRiYxFwJr2SsqiKi/LkyPGydEPXipTKMcAbHEqnMYJEL7DdmFQ3CGSK0fBGXIxCGiZfnhSZ/cMTI3FeY4A7omilWSkX+CHUNc73KhUiQCBriuVZWCQWtalvXvnVNu9Y17etr2tXXtG9V3aZldesWVa1bFlu1KNa3yFrVZS1rQ4uarK5aa6u0rigtilJbtOpCrM5idSgXQqkoTUUtBymFUM60nDFn5UIhL9ZobW2xTkX2GbE3Lz23XXfbbdfeNv26226fdkev7uuktiqDdLx4VWkGYaS2snqVgoRLvCz1NwNgInDQF0pMl08J525B0e2MnkUKh00XBVRUgxsR2+D6HRQlfvDJ+/c/8sAd990x496ZvEjedu8MkJn3zpx57+233zNz5l23TZ9xS01tDQaffvvPz+Z+ZiFWZ7Vb/G6rDXtt2LBy5cRzz3rtzVezYgiFIBm5Ku5VKklSh5EGkeAAZqI+rFidzf1p7pnnnPnBRx+2rm2zzeChrWva8jZs8fLFf//HO1HyIw49QmPGO1Jhb91IKAWnPuMER8K7GhhEEpfhPZVIPzmlYvwBNAKBSLMGuAndwCcocnclglRgiXru4k7VxSDGRT/huScVpYHM0EiC+ZEnFXATjQ5IMOGZkm7Wcilfu+vavz/i9ycce/wfjj3hxOP+cOKxJ2y37XbFQtHIltZY5QGGjYn/Ya9BqAC3znQVEmBBIqrNsyuIsXvx7AkTZ940c9bNt99xyx133HrHrOmz9t/7gHKpjJBKPQuuiJlCCi9mOFZRCT7xXSc+jECBPDp37LzVZltvNWSbrYZstdWmWzK3btWmEIpbDNnqgFH77zty//1G7b/fnvvuOHTH2qoW/iJvbKwN6LfenrvuOWr3USOB3UbuufvIkXvstdceezuM2HfvPffdZ08+Ae67z8h99x0F7LffqP3222u/A/be/4B9Djpov0MO3v9QvhM/4qDDjzz4yKMOPnL4djuUy2XqVNrhIEKy0jxCoDeqRg0iKAmDzquIBlU4yMBNJAvhhik3PHjXgw/d+cAf73qAh/9Ddz545KFH5mV6oa6TfIgPQvFsgnYX+DHhs31wGikLMx0iaMJZoyeGlXj9JrAd0urNjrHX2uuO2GXPETuP2HNn5pG777hH/979rfJxLNm7g7TLIsmPSRR4ODbcoAJIZdPVFB31QV3OFx8gpioSBCk2NAUPJu3bdxi23fARu+6ZYMSIXUZst+32vllI1dA1JbBAcTEbDsTbRh7KMBEFuER9kuaRCL50mHjGxPtn3f/gLFp6/4N33H//HfftN2pfXn9V1DU5dq5JNl4IbRUcgqbFXMfjuGYFp+wKYW7mqPlEpoKCM92VNreCfD15perV6iLKgGtCAoCJDyWMr1zsjeAIEeBtE9dsVoN2p8JIUhHVhLiVh65IVfxPfLghBbEol/gl5OMiv7ydggsAklmhFLRSAoRAVaxAhMzdh8L9DVMEWrAW04QKi1/ENFhEUbekShVPUX2scYCGgwtEXUFM0oKuBhMngmgQ10gCoyTBY1SNwTBm6yKbQ394MhgmznM3hlbFTJVsJATRzP83oLk5eZ60qmm1dueeg343eO899p08afLeo/YuVBV/nj/vtddeCxn6uAJUdDWIurcUHoSQAp5uBEhQ4okPY8KI2cFIR0PSELgJEk8Vf2iwVBBwPAIED8ouOBup3zOabMEEzLR5CGuAgaX5zkJSKS83CpOY4oERYqdwHBNpRgwkSCQxBx63HtE/o8S8XG4qlUplv3Lmcrmc5zmFomjpMrcDI1ceIxajlfNSU94kVVbXrrZt59at12pVbFksW7kpL5W5p03MD4BhLpxVN00csdzyUiw1SakplnmHi2PzyxUFNayCQABIS7HcpKXq1sW2Xevbd2tTv1ZLrZZS3oQHcqBKTCra6EfjZKg51xgEAtAsxaZyXnZpc/FemZIf4RKkVnmXEJBVXsxbdKxr07V1bbuaPMspiieRetvVw9FGFjVW/AmPFUgIzwMH8Izc8lJOL8q4K8VSM57znp6ulRrK5aZyqanM16XMMMulxGksg5caS3xgaGJuzJlLDSWUvY8enExNPJaGTCoZqVZSCyyqorCVYRoEQnw26GZcmlEWgK2RNHAa2dFVpaYVTQ4rm0orS4SOtI1WJkCR8lJ7QanfUU9M0kQnVQTAl4pqwmFCJjm2cEExy3Mr8R1rY7ncWIpN0fi2NQ8hz6QcrGx5U04Hyo3lCN+3FF/+ZJDVQznzeHbSjwtHGZ/efuP5IDwb8nIsl/K8qVxqzHOQUoxlA8rliM9SqdzUVCo15bGco20cP2XX3J0niyMlopCtECWhq1fCqfgfEgHhUmS+sIIpvXa+KTNulFQdlQoiIiquJqoAEzNPJwgQqSxwlSFu6o8wXwUKqQoDmSp0BXyDRVTSaVB2XRkiTBqYHJGko83JI5PmZ42j6WJbxIdWJq0M31g4QEVOIqLCrPQLltIuVUzMIyVMOVLqfLiq6jMGvvqiDHLxBgToCtAqQFTUn/+4FCFTYuPGEfGhPvkzUlwBN6qiDAIHpT5VgcaxcDlhTiamO4cp4pRPoj5wZCLgUt+mvmV9fYvW9a3atG7VtnWrNm3q27Zp3a5Nq7aOtGrXpr5D2zYd2rfu0K5Nx/ZtmTu0bd0+QYd2rV0Ev13bjkD79p3at+vE3KF95w7tu3To0LVju07tijVFE+vUcS1+penfd8B6/ddbf8DvNlh/o5Yt60UleDKqotq8XwKWLp9URQChCPXhhLJ7Tgel2TCUR5BKEIb54mwVBMYlqXRmgVAXswoDDSGtaBbjiuXLb79z5lnnnTnpoknnXXbu+cDl55132XnnXnreeZeee+4lk8695NxJl0x66tknMVyyYvFLb89eXl6eFULntl1333qPHh16/DD3h3POnfj4049F5U4OldQ4IrYmPBjGAGUEzQpZVU3Vl998MfnSC5557pmiVg0ZsNmG6w6SnK9i8rc/fevLHz7fYMPf7bLzLuUm/7VZVdwnGQv5By7lEgkhBaAQREZAUTgq4lJVZSEw3WIWRsLAlbEaF5Q4br6oG7gnYaDGHAQmayW+BH+wakUkiDjsKikHCAHl1kDsCcHm/JJUjJFneNOqkj9Uea4Cq0p5I086i2hgIYYfbLiRkq/IbGrOJXoQdyziKTAjc9p4NAoI0VTymOflnIcegXio8hLDU85wo0lFxBVxJTzsSN4E49xn90IkETH+OA3COyWY5JyXJSfHcowOFkv4jzxOY3qW8iCNZfSpz5uX52QQudwkj4jK5ZgnAElgnl4p58Gbl2IZb015XrKIYYyYOwKeW8Srv1qQk5J2OuRKfyQRPCQ8JPmmwsXooEtUBDlFgKAtDHVRFrJCKBRCMQNAeeF0ExQrZZO8ERB1AJZhhQsx4gY8EgiBMzGpYM4yUNZkaq6GlJ5iVNm15LYcvQ9NFFumb3mZduTuuKJP/hAi+GYSgiqTqhLWMUlDQVWZRKGt+UqGiQPDCfNa1zAkli1vypv8FbDMKynRYx4Zrk3agkNhcpcs4kM1UVQgAgaIa7pzcZEy+yqGHxxy0nivUuJNS1OJIxfLdJEsMBI0BXVRBoTfuRTrZTnXvarCF0GD6//D1l8A2lVc/9/wd80+90ZxdyvFHYIFYjgUSo1S3N0lTnCHYC0axd2LlBa3QnEIEtyCxG/s3nNmvZ8154b29/6fydozy21m733OuZUCTDADJCEtE6SaIzxzNQUWCtEKE5iVIYaJY+IWiwXJBAEmU0HcmyuzWfAMYRMx+x9cTQUro4nL4p/FrBhmJjhEY4070+iccXspRoo72QIzUgokLjRoAs8QL1ScNt5paJnhyoqmyeGXHjlPB0wylymmUHBHZoYIwI+bAZhH9sK/VwAAEABJREFUREQAyuocoQ2ajHOHIShRUJFyQZoMDLinMkQjO6eYDYbmGeENbzQaQWIQAk55uAxbwwoLka/cZs+de9rQgdvusO2/3/53qpm4gfkGgem8+kI9Ftpmy94LL7ywK3/2xecYSA1zUrbwJTNOPFwPb02n8Bu5EQEjthupeWCS8Q9pqMfiJswMvjvq4E4/ZBw5FEMGbTTd0AmSK9AwK/YJdayyowSOVogUwygCdQkDtIxC0QwqohtJ8SwSA2423ltyqkLGih82TM2Ppi52MqMlQgYYhZtHgfGwFacnhFiyeNTqTjRhh8NgEIvyKJHtydmyszGIi4VjJCtphCnJFlzhAlsTXBRDJZFAeIQMKwRsE1HCgzI+SCrSyo1GvdEoWITNWZlqvNMG98UBzssatCEDQPFPqegLr44ZIqBoGqQrBwkqKLKCEX2DkZxOKI4dbElOn5oLeavwKD2skTm8khFhWc0jf88hgcO7LQzAPPzRL9QDLFjou7gjsqOXgyMMMSAJFQ+QVAFubsHggpgPOZglVzjILXIzKal5hOSSmYlzl42qRMmkB9fdA2lizJn0wnfhigEvwEkKiqcDiIc/ySQZLQm5xTT/UvTPEUdxcWEAUC5l4N1iE7ksfLnlysgHHLtSPHzDM+4wsWSYiItV0bwsJMbEhVXDBAcPFIJ+aLLgyOkmeXcCfLFbsXCRTkRpyjDEA+5NpQ4TDsTMSoGKWwkBFRGYuCGCCAWTkTyT8biDFw451abAsZEJn8QNjrlZpxqeZfDYdOSOlhRIYovEcISII0cJZsgythiRA9mDZHehQ39cbKpBYNWcw9AEzp4norpKxJjAYKD5i3nTCXyJVrAhJTrmAuE7LG4cHZpissQFIAplThgmACkBsowb40IZTRWejCXA8GRJzHFZTHKSEbMXMmzMKIcCBGJMWOJAkoVUBlKpDKoKM4ntc8MRk+gSKk7CRmD3sh0KMy8qbBEEWcgrb+lmXXpUXXqklu4trd1bWnrUQGqBgLe0LtDa2rO1dYGWrgt06bpg124Lde22YJduCwCBdHIW6tp9kW49FgZ6dF+oO0jPhbt3D7Jb9wW7xp96pNRSa+na2qVn1y7du3bp1trSpYXfAQWfhLgfzQ0CXKJWUIFbZAgfFCaVBl9oZsjM3UOH3c0SCuICoW0evlwms6JPB2I1s6QEC1CxpwueM3OyxF8z+BK43lrrrb/Wesz85XndNdZZZ82111ljncDXXm+9ddffmH9rrdeje7cPvnjv0RceshavrLbm8uv8ccBei3Rd5JNPJ55x9rC/XnvN3HmzLHEIMs4bjXhn5py9HmS8XrKnKlVdqudefu7E00/6+xN/97qvtcLau2yzW7da90aufzrpk0effVAt+tMf/7jCMss3P8NRgDOiOeRO2UYFMuPUscm0ANLMyz4HQ9RvlkWtViaMvWlt+CoAgpf5qMwcjmT0yxQDn5hgyUzIkARG81VUrXhEyy2MPbBfFNgFWYYfbB5Z4klE+fQjN7zg7nhq5PImc7Rwh0PJTIabwM1LMVDBhAOtWOC4xyMlSoSBlVBRGSiFECcSEyDlcESUrLBnitsFmhwaHimQPDXyCI0TxKOf0FbkghDDXU1jhy8jqCNy/GR3KvGwFScWNkI0PEaEC7vglhyKq5CgFEwUPDJWWDQJd+WopmROCeCOZ8tiuMUAEc2NK+MWFCO5Fx04OOOscw5VoYMj85jwK0Q4U1hFCvO9OUQKbtQiBmWxb5EpmMvNwxotwlA1h42+YUVWmCCNroaATuT4EIWqM3BFT7F1vAfhJclOCc68MJ0EyQl2cVuYGHgoOFRAEIQjF4oJppTi90XyDB9cCS8sgMuMhdzlZCWHEEmzsIFuhW4SFvmRfSxhI6T0MIUDp13oR4PJLpREBsYjyyWlEEVWwYRG5PCMS0LfYg532AdNzoZnTMkTTQmujPs2LEqeYrgZlgRzxF5QEABbZjhuljtjoh8QImQYBVghlY06jXLiJYu0uLJInj67BA2ojE7E0XZEcirnKjJWV45Gisimkp7LEcKFFZg7AjgAu4K1Ioh3vj0jq2iPi6QyM2qhYMEMoWVDhGtz0Qk5aQqf5kRzpJm99HDLdhOp8/YPDtKA5E0/sY+EhoztgeeRQ9wIQoO4iUsePowIQRgDE2/QKD6AeubBVI9vWsQKuaLMnMlMGBtugCLA0KRJP0x6+T+vvD9xwuNPPVa1EAo1C1uqyzlxlBJa6t6tm8Vvy1VYxZWcFHl8eDbUTU59rnrODS6nYBGUZMTv4uSgSFoKV+jLUs4ZLYyoklKIRhXKjZjRo32Rs6FjMkAqutkkELfsZkQ1a950nfru7srNpnEwAyeyGZqwHVokTORw40wIklgVw8rNjxYRjESMrOAnl3uEkWPpWUErMo0rNyVeRkkPBx4SuTeMhysShZW7ERIgFdw63jxc0WB3z1FRkEg9ISeJIpazte7hIcPILvoJT0HkXDeaFjtf2JQOO9wYKyqZ9LJnzIGMJZ5DjBdn5FBxvr80i0II0pybWlnRvHDgij4FFxvzUGrqRqDsFiO4YDh2p7UxicSVZOQTXpom5IostBV33H99JcyyQmZ0S6Ie0UKQpo4pBxINimykRNjoVHCNKUyLX+JlLIlLSAsRUgAhNYAU32pGKQkjCTUyoOEplFwZIGSG6aRvcoIxhX05AmrQWy8DNiuGGITcXShzDBXp+y85EDLiwEwOgk1UGdaSEdHRxFTiNJmFBm4oNHk2usUzFyWLwimOIM4ietYQzw8rhJKSJTGwQdvd8EEk1JwziWciQDOjRAlNDjgaDQ8nIXVOBmW7uSnA0WfFl4lcZSywxEDEn9TRioJpPuzEFRKuAMtRpznWXsmaUnPDR4jjSuRsXjBmJ2jk5VaUWTy4iFMgrLiKufxCFngWCviLlaXpGoeBhyi6Ea1yCKcvok0U70FGzsnCXVydSGGSlHcmn1GN2JC00SJO+AvEybYUKCvSMMFvE8dlIGSnULMoK0LAgB9SVHEMLRVORGIvCo6NIhN51GKVHDL8IIBT7JgMXDEQR1aKpwQ+Ime6zYaaNU+FqB3PpIwJiKnZYZwAmFhKZiZmjCd++dEdj952+99vvvXv42/7+7g7gMduvv3x8bc/Pu72x8be+vfRNz88+uZHgDE3PzzmlofHjntwzC0Pjbv14fG3PXrzbY/ecudjt975+G13P3bb3Y/ffvcTd9zVnP9++51/v+2OR2+/9ZFb73ni7s++/VSyZ5575oq/jrx05EUXXnbeeRefc+Z5Z3z91VeSyFOJZGpKFmQzR+Ycm0ddTaZL0YLSGM+U2IizG430UGygGIQ81NAKX1GrS0nGxYTQhRecS8Y/xYBqbe06fPCIZx59+tnHn3n2ieeee+K5F558/oV/vPDCEy88/+Rzzz/x/HOPPfvso0//69Gn//nIU0ccfCQ3w4PPPfjsm097qtdSbcPVNj3yD0cv3HXR7yf9cPaF5/x2rz1ffO1F1Uwtxmu3qlWpqlJzbkmptfru5+9PHXTyvgfu8/p/XrcOW3uFdY7481ELd1ske/5x5g9/vePqqXOnLbPssmuvtW5S5Q3qozTRKIo08perJA+Hwwan1JsyTA4pSpwgGush50Id1DvbGxTPQA6pGCkxoYsTEEw5EngHlyOzEHEwLRBHhoCFOR6/0FiQAo0GYVNQh0mK3LXoYenZmiHkZIkc3YxySONKxhD7w2KGY/eMpszwmwLDhsUZmBLDuQLCJktZWBmu4gocH9RP0FIHAiB42ARmkVS5eVT8Kfw0k+s08CbFrUPywoxMiO4k5gzLWBSHEcZ8fkxhgDIajhQnzE3IkmcAXbBOHWcHaAR81EkMt25NDTLEMBzhha4ZJ0CgERdlCg2ZRI8sHBrvBpU248C8kAhVhgsdwRQe3K0MD6+KDEJIr8KNPHIAQ8td1EMkFSziOY4SGbsTIkwaxT6Kc1yzioEsKMlcZSBq3pyOXW72sFMX30jJBYQXHDM6YRS21GNkSToWGgrNkAnPeIJJsREjo+mycmq8bKyrlCaCGTmGUw9Emq9G1dwP7jSOGIZvOLjAEqa4MGCBbsoDbzYhHMpzLtV7ziIzlYFyrKiZw0bg5tyQMDO+iQI2nyNImNyJ6CtDZqSp+IjJnYydrECgo1Y4xRukk7EnjApSGCF1zx5Nc5LGlTv6gRMLkoQEKyCb4RoqOybeHJEAOYhshIgQqMVphRnaHD94RRd5MF3kxTMqSSiYpTBQjIQaSmbBx5lESkzkKycdKRhO/8XAbTZlemM0NEOW0jIinIBjgwI47hyuyRVSeuCgZBaBhE6OjGgdSmQjBR8WSIRmKU6yJ8MopJbi0xQOc8Y525obHpDjzoypQQQyBqKVwl6wS5IQBTxpoUUW6tmjB8Knnv7n9z9NSq3JWkxVAmmb2/bCyy9MmTylSlWvXr0kkyWRgDEoDjIQbKMUMaJDNJBT5CQVibib5XK4EaMZZNM0VfiDGVUINNqiGJTEYoInBkhg5oHgQYWSVAyaTCixJVbWSEKEbGABEM09bFJMTZUwdWpp6v+SvZuhY+5O6sLQIkr8aRHE4GW618BbQKdVbBYStDmp2eI/GugQGIRCCgfiHMGLoJG0e8kwl/g4FBdi8vdYZHS40wSabhiezQoeOYHgOrJUjEDc2Fl3gqKunINHODRhSaSu5ohQzrkgBxaKbbI5BzAL6XjxIByENLDFDUklJRSMycTH6eJYZAVicEgJgChmUogwdGQw6RAEOC7oQbnL8Gw4kkRWtAgEHSlVYUQ4S5JReCnfwqEkqyhOpuZwbKMWqGzB5PLoAbmQZXwtQYSfqMatGc6FKkokILoOQf0WwxV2GSYm5CwTbJdMeAvHgZOPpGxMZgJI3ksm9LyUVrJCLLl5dhPJGyoSSABu5LIoXE6JGDqy8AwFimXRzzL+OZO5hYi/TiEOLHfquGn+iIq80BwBxOZC2ZlLKEiYKGcCmSwp/CAuSFFFDm3hKGi5ZbM4gGASqGKg0lSU+PKn4ldEChm1m6EpEx3Ec2ii4eEoW7NXAiH/oo8cA1w6WnhBRbKQmhuhERauoQiiGCH1MoU/2ugytEW4mrHrKYzCEUYKkTrbjw+XOAcGF0l2U4wQ0yayMByxCEFpGhYZiSy+dgo/YYAPSmAmB3cz2IphsGJVPDQCCTqBeCBNKZjBEY1y7AIvR9hk5oYkLmflwnPIuGBCWKYhzpPNS7OCKTleinp2pGD0JJhcivwQWyCKuiMqBpKJAeYCZafwGCyTGd2D65Wl7l278TXgqx+/Gv/g+PEPjR3/8Njxj4wa88hNYx65cdwjo8Y/Mmb8o+Nu+fvNtz0+/ta/j7vl0XE3PzoumI+MHvfw6PEPjx770KhxD40a++BNYx8cNeahUaMeuPGm+2+46b7rbrj32htivu7Ge6696Z6bbn/k9i+++ZK4z730wlkXnH3eZRdccMXFF1996aVXXSUQJHMAABAASURBVPrj5B+TrOJnvpRoTxRLvmToqTIkBgdh8IwBpZwz+1UXHxHoWxYkK2CiP2jSD6EYvcq0yoUTCSN1SsQDIJjYuGKY0TqzeXM75syaNxdoK/Os9sBjbp8zi79UzZvTNm/2zDlWT3vtuVefLbdRaox9eMwrE17u8PZK1VrLrXvi3qdssPJGPVt7/ueNN377pz2233XA+Zec++DjD736xqtvf/DWf979z1PPP/W3m/62z4F/3rLP5uNuG9fRXl+y5xI7brbjMXsf3038RSt/O/XrMQ/f9NPMn1KVJn468ZLLL3tvwgfNDkTBmRJSjpkCSJ6emUSVEigNgBckS0ZQDlym9sBRgS0lGSgzTwk3HBaumgM6xKmTiq6FuDgyS3QqJBbyJo4BjZdxAg1RYYY4WyaRYAkH4OQH0jyGFgQyGOQe+xAEK/EMJg7YYxBRa7gxAgQ0k1egsCxiVEomHhZoU5DQRgrhlgkjCFjOA4BaUTWTqFnzBySsLIu4Ij20kYWDJsUspcxd6Q7XVFQDxQgG5SXHheGBy7wzbpJFOLFISs0rCanQcdhoszALUzcCcxOgB0ZFzLJKLEYvjIFdQhwsd4pWKiSpWHKsOSBoIw4DFGMJhkKKHHszJrFXQk0MdAD3RhYcF89EPnmD01Eqd4TKNI8qxQiuUFQOoXAHRXrMoSnBJnfMYFoh0YQLmpOKo8JW4F4EGAI5GiBkTWYSg2hQMJEzYwITlVKQRw5NmhCOOVGDpmksAZFe8hwWQeJrPoG2wqPIwEvOYOhFW1mIFzP2xRhcZswAevhpIjF78IVaLojTQKzRIlu2JZix5dg3NUNSrugFkRXfhaRwVXqcZVllhL65Ea1TClbUkDo4C/ZoRa8oIuhyNU04rQCM5qymE/13FP58h/PZOAagzDpFv6iBBMuSWaw+PzVXlJLFDqLy30SSONZ4CkA5lEK13ApyE+fEjAWjzCK6hSruk4UUluEiWApHJgWYlbngMREPNT4TOFioEMOcbcV9yMECHJeK0CEKpKwWBjJDFw9UwNn3BhO3Q4O8xMsl5+woi9H0UZIhprAqRTkGEXyRhRbptclmLbWW9ya8P/jMIY/845G3J7z1wcT3nnn52UuuvOye++/raO/otcnmm22yqegVQXEZ4JayLMe5peBEUhGPxcwU0TJaXp6EFpiLxSiGd2SIIzYnQc2y8ZWy4U7CnNqDLZeChEMxcNzDh7tiwRLMYRUJ/gy+iWHzkRAixZ/DFiaKgUNqcW8yI3cJHghe5IEiKsB5iTX4ihsmFMMQpkkUwHOGBQRO+OexhQDXBXKwLIcGXiMV2NgFzMeKoZk5dhL7oxLNBA8KULEvMVBm+8jAccqOwAypEwcmm56Dg2vMYIBgiz8vS0ywIGRNs+CABidQhNhjSw54R4Jj8OAgKI4KHmwzWTJLYjLrnJvSELtMDDqoTsxFDCHLFhxU3aM5GMMFTAx3FQbpFzomcLIoQmcubry0DGl0wo10Q2QGB7kTBk1zpvCIOY0jMDQ4LBGGBXUjCSJ4Dls8yc3NkhUXzuMVJ0UTTnGtElJNHEswySQu54pVzWFBo+FNkrmpRqRA6Gnom80n6HAw0BM8dysaJlOAzJKIWrxSDrjMkIGgKgiVASs8FdxlFEI1CpZjzhopZXCFtcMgjiHCwixuW48Sm5RTrhlS5CzN4CqWcBy3sKDDBS8GkTN8eEZcpMIjKHdG0OEhOOARnwsPDqVSAZbiituq8NkK/MIKwAtK4Zn84wHUyeTQg8FHOyQ4CICCjV9nsXKZjDWXcKCxt2bBYjIYhn+YYKgpmHFJBiRmy6YmRybJjBkA4zaImGqOiCjE5G6BeygGYo66RwgVxGDSMGbKlTqZiAD2heRBNN+zpeCFkpqTPFaHigBWpBCw4amMEIgtgEAc4SMecQ2mlx4Z8iAMCaEcW5elqrb1FlsdsM9+v9tzzz1/99vf/n6P3/3+t79j7BlXn759Ui1169pti3W36r/RgL4b9e+7Yd8+Bfpu0HfbDfpsE3PfbUDW37b3+ttsvf42MW8A0ntr5oDevTfcZpsNe2+7wbZ9NujbZ/1+fTcEBvTfaLvtNtluu023237zHbt36WHG2Y3sJDOBixQBNhoQW+lqklTNey8eguUEy0FRCVBUxjGhfGNgABSEF7fwTmfhyJi4AMlijkseCjDUGaeswi8XjqPtzd0LgXL8N/5XOeHoE3+92q9nzpt52+O3vfjuC3Mas1OqrbzEqvvvdNCeW/9ug5U3WKjrQh988ME1111z1PFH7rX/n/6035/22u+PBx5+wLkXnfP0c//K7Y2lF1pmy7W32nuHfXbr/duufNHyxmc/Trzzqds+/PqDHl179N9sh2UWXfbZF545+4Izv/7+61prxeALGJ9YOV0e9bDH0RrqAEjNrFQT5YCQOBgKySiPytAo4AglJmS40P+ICopETtvNZGaS8Q9w/SItDYGOpnC5zHIiHgcLCAQHjj7uA2ijqwEjpPHkYQ1nZOJmaAQhwwDEWdEpKhLSph0+xICA10QCl7LQFgG5wpbMlSS88LE3vASzxEAHEx4OubAs7g0UqIAP70iwIZxCCNophWNZxSIk4BDyMoWNSgFEIzzsCEx78NE8Pg4vYoQqzIy8sNQc9KoTaXpAtdCFClPcSxY1iYFnQQEkT0DcuZnKAGlibtRPBxKIYqBrmMDqDBelqUgjXpYLJ5Ev2hYPOhQscCxhI0ZFGFtpaWEJU25AtIo4eEZ6rugMXCwoFLKYwHAEJV8cBYmIReEnVoxj4bKQxKWmJpnYfKmRBCKXxRDWSCHAFJjDUaksOFxG64pDFTm3jVNcJ9NdhsOQu7C0mATa9FD4UBwxsowKaRU2OCgIcscTRWEH4hLe4oEjnGHFwURdiKCRNjGFd+LCY6bfnD46F8ExxykbhSMx3BiQLrMA0uA+kzVFAqEx7IKxBFMxDC+uMDELpiF0BHFJUAEgoKQQiDrVCk5MoUG5+u8oZaio4Rk+GubQVphUGBQRzIpPNDiEMTfVoxlIAlCSSAmBgRu4CSMmi192qREWUniCiSxYzQwKMZ+rgoST0O5UwAIOEObKkPplEK40psmYL2pyMwtPdl4pjZzrjQYIJF2wyDUi0VYzAUrGkGBI7D4fimgFDho6aP+D1l597Xnz5t37wL0nDz7lmNOOO+bU404YeOK1N1z7448/rLrSqhefd1HX1i64Lek6dpwm4S7xRynjR7UqpcoqbsIEU0omwriTDrochcIIHpHL10FRI7kbatEnxYDAjkMVhIRl1C0mNEXEWJChJJhgEjaKYaXewi6Yc0L5Ior70ERa/KEOaqZAJIGIQSTEoRgRuOAXQLM8j0JkJGBhAYINBkSDDlmTdu80LYg6vTblxTKKBjGXMSQDDDWzJkr/AoErNRGJ1VQGWopLYvfUyUSCA1kU7RIAByhRQ0Iu4CY6QWeDU/CiigAx2gC4UEJoyMzBoV0qSOwRtjwlkCpGrHERknSMt3twNd/AuLkKIzgwARVPJgZTs1fEgUQXTkFkYHQawmQCUCRy5KQYUahgmFERMpmhJk6zgaJGqoUNSlDDV1EIW1hlMYo1oZ64ChOH0M3ZZGLgBLWmtHAKhYAAKDhenRTIhQW2EYlC1FQzYgPwm4CFsJApZslUhjFAmh6I5WYhMsXMZAaqX0aTClYzcmAIm4Gas4QS/Di3pVcWDLhOfoiYiyL3R8QrZ0lCx5ocEncVG1MZGGBW0JiKMBCUAEKgILHK+AcRqTV7BM3ZYNb/HfZ/SChAbvFGYQnCZMYlUwwHF72FAlwMB0FXECYjuhlcCyVEQbugCs2ETND0QAyPPQoprCbJPB+adwRtCAUrPRIueZgo1EsclWF0zMFQYpZYCazOYQYt5LHAC48FLfwmZYwwE7cPcUvzJIv3vSSEmLMGGOgvYDKRWZkDAykycFJFJGxZzFLziCMwExAXaResJGcSoF+GyTqLYHFfb931zhl+1qXnXwRcdsEll553ySXnXXIxcM7FQwYOXnKJJVpSy+7b7rHvjgfut8NBwP47HLjf9gfsuz3kAfttv/++ASAA/P332/6A/bYLZiA7HLDfTgfsx7zD/vvuuP9+O+y//w4HHLjjwfvveGCBAw7c+eCD9zhk0Z6LcJjYMCcvkzhdBqoY1GywAjVrIsx8dOPUZYuj3XzvJDTc49s7Yo/BSv/wKhyKER+NWKIlsbDi3FW8Gl5cMgXFZYGrMvhxKSXabFXMfNWx8p8DRNB7y94XnnvRSiuuNGna93c9fdejrzw8W7P5drrEQkv23XjA3jvsd8Auh+6x9e82X2PL1Zb81SJdF23Nrd1Tj2UXXGbt5dbus27/vfrtc+DOh/6x314brr5x99bu1pLe/+rd2564+e1P3+SH0b133efP2/9lz35/WGrhpf/13L9OHXrq2xPeefyfj33w8Qcen/bdXOSZIl0nXy5qCtD/DDRUutvkoYQ+uIOxhAcWiKIoL4sF+78TUnSAphQECDdcRudZwiBuQrNU7FCQy4RUxAcK2xwKAZJA5l8kY3DZNrYVJqUZC1rxQgtjSJjoBBtGE6MDTYQKm0/DEPGRJLRI1oWLSAgcD4pEFQMEKBgTIpNJhcWJYYUiG+wVJbiMfwEoESKBOgITgynygAWhaIIYcEmNwgreqWAoOfYuM3BHpvkGKiOKFKKE3BHFEqfakRoXYGZo4AU8kihEc4KjwCzqNQkHMjPFP1pEQpo/jIGPZoKdApcZFxQGgQoHjpagWVWG41xmEqAYiSm2LxhhHzJwxEY5Ydd5ucNGGXAuxVmJNYolCmI3rJCZo4lPqEDYE3bDLEhPJBWYByWzWFA3NwtUxj/ihmMVlHo8/nM0nRWpOThZaoolVjUHkUDwpcIrSoG5FIuaQaxJkLPBNTFQMIdwmJBNMBiKi9LEaCboKivqYBQTFm4xMymqLvLQR0opndaxgzAFU80R+sJCxgBp0ikWHJZFjCJkDfhfHDp0WOQxkcJ/Q9HwcNvkK1BDmQtBPEpdkJo/Ap9vGzg3RxHxTqWAcCylSmZW2GVyDz/IChVfsaLdzggGO2HoU4dDJpeJwplcDKQqojARu6vgGK/VEKJCd2GZ83kWULEz3hu0Vyodkpu5hToPDIJ6JBorb5UGo3xvAneMYWNUS1WlqqZasopCgDBJUmDOzwi4yNlXWnbFW8aM33aLbXIjf//D929/8M4b7775xddf1XNjy823vOG6GzbbeJNGR3beX4qRSEtEsRjhy5qvm5QIaFWVKvx69MmZw4K8S+JY4QQmeWQsrVRXCHe80hyXmzXZFOFZUREWsPEEEsAF36K/4dosGxuHXMUykIydYY1f/CAuvmVGgGAIawtFJ6PYLYOTqvjAhwm4ifNrnpQwAXV4jnH8/CZXxJaE4yCCVgz+kIcSLAyhExfgHtEtmYUTcgx9K7kkODKTjISZBO4ymVkkQOCUJCE1M3kwIUAKa9ctAAAQAElEQVTCY/BDSkFCSk5E6kQyVMjxEn1QOBWPZmcSw13Cm2IUk1DEJvjYwi6eLVvkbSSLQZJhk1B1GLQGiPwsN/9jaQhkCh0zwwVgHoihbiBBmFJ0QlmhCZOsZEJMbM8W7qkbqQSXTpoFUyxOJw2uU4/U5EikLdSACkFTV1JGUzRNcTgCTwYpN0u4Qi5Rk6GpSI+Ndggv3qQs41+Ao+GBqOhbRi2LCRBBLOQW+mpqFaYF7h6sFIoqI8NQ5+Xxa4S8PAQMaSCsjqGrOXk44IJNIXADN2SiKAnEuSRZVVZXydGbydBJaJlFA+iMzIImpFCEYIYRj7KQKk5/2BsTUkToYWsGRxExhZ4bI0y5sC27aZiIieYxR+BoaWWhL4elkLICbG6TI4aDUrjBD3cOYqhmcharOQzFpRjG5EwhtWAbYWRi70DMIgtRPIgEv3DMIHFEVsZTLzbfiYWf2EqEhiYQCw/KqNHEMJRiQUNcjuOMANsiiK10BCaLiuTCY0lA5DNfKsdFU44PKGhaysYCTe04BkZFTgAXTopilkw4UlAid2iP+OHMgpDEytXUKDPeFV4hkKFPFPDw6k6fi1DYiLuOUGoaiMFWiu1zMyzFiyG7NVKPbj0WWXDhxYAFFlt0ocUXXXCxxRZYfNGei6284sqrr/7rWXNmtc1p469PPVt69Gjt2bO1J3OP1h49Wxfo0boA8wJdF+jZbYGeXRAtCNmzlXmhBbssuECXBRZsXXDB1oUWaF2oZ5cFe3ZZoCcmLT17tPTs1tKjWwV0797SM/4vSqlXDItbzsgucLplsY8iV0CsZpG23GRSSkIMZlSEA6MnNBShGFGzFQEE4DCcbVfTBRzULRbDjctSSlVVde3eJf5HO7p3ae0OArR26Q60tPZgbu3So0uXHq1de7R2X6Bb155du3TrMqDvgPGjx6/+61//OOOHh1988IrbLv1m2le1HrVu3bstt+Rym/x60123/M2+Ox1w5O+PPvHPJ5+096kn/eXUE/Y+5Yg9j9lru7/023i7tVZYe5Eei9ZqtY407/7n77nxgWs//HZCe+7os2W/3htt27O155br9t5569/06Lrgv154eq8D/nzcqccdctTBL778fEsVtZC1FMfGPf6LLjIZ59TEyE2E42AwuZLBTXTEJXAUoaOVLMZVwBAG4goWxvQ1cIOODiLjHoTjtBln8oxHuDSTY80M04I2M6KwnyE3cc5CiAhjyeKuhGEWGXB+BdEE3MDMhYF6aIiVK2K6xCFRUYUL8LYgl05Eshg4RVEwM74NuRi8Tg0WGGARx5PRp9CDxMgYTdcuUpR1WoauOG9FDDdnM3hA8Ue+KDpe5Uidm71shxBQiIegSARHdCg4BgJTbpY0f+BVyk2nhEDQlOIIRbRgMgOk4sHleU5IWXEShqb45+EFhD5HMDnZY1VcmylFXxwbkzCPjVbo4VKKTe3cuOApYnbquYgJ7o6aCU8qHXQMTUGHAMTlCM2pICizVABmqAl9xAKXlFVwwjS1YQUDXUfikoEaamKwiRkzI2VHBGBn4hyqGZNFVM3i6CEXSxw/D4TLs2Eigy2ZS+6cIQuGSQqKOVCZ0CI9WQiYY+XJHktQoARFBoETckvhMBji/sSVB04iSMNpGJIsTIvQjp0IESsMcg5JqLMCpjgkIj3JhAO5QJzZjQEeHHLGKUwJTgYBEANiuIetmcxKgztNQsIlmSSkEntkBDGzQuNEkkmCgZMox2HCATop6g9wdFKUpDLmd6F4NGRwM1cBjxhCOQnMQVgLmHL0kDnI8IuCgZcts6JJLjACPKa4sgw9wEulsEJkDOj5qdAkTya2PjjJAyGBeInATihjV3xInJ/svB3LU9WF/2xw+QAmTo9oFPcTLPrZtAtnYIaEGrTKCis/ct9Dj973yN5/+PMCPRZEsuXmWzz28GPA1r229A4vjkULJePbRuLNxB2Xg+HsH2QA3/i8kXNDmeG5+ScsEkAtlKgDcG94oTIeHJ+xvUYbOTVRVWBUDZpYjLqNVbAT7UKJ2bibSNIVjtw5u1mpkptiJMlkzElmgStTuzj8ojXwYArbYApPKohHKnJswNhWdQ6nMgsLhXswFy6ENmWhSnj9d5AmIkW66EmJPLDBr4k0JJmgS0SzCC70nPqlJGFnJoP0mGUYuaXEKgWlMrIJE4tZLoEYi8OLtLhgOTYwVUYTsRiECMoQm4fjjEYosyhwbEsVciMPoQwSQnJpRjRUaIvBpAFsIwliCa5QoC/mBoo8PIYbcsORBB8uaMjDAEqUg8ThShX5JbNkCDBkxl2ITASClIUIXSO75rkMLkWHItJQxp3R3GzooiacKobJzBBmC6RzEpocIQ61ISKOldHUV/AcHw4iMzx15iaZSIPAKqPZNDwXSkiB5MoYYYWugSuGydls4/60pmfDkXOndArnqxfSUHWFiUEbGJepIbdgyuGSRIJCJg8mubg6/YVYxpDc3QyalRCBByP04Jr4ZwwU6IgbKyw0hHK5OM1EK2BqanJ3EEkM88JJBp6QYsQhcRaaYDBSBELZkhk6TQAjG+OtzOJIaZdLlhsmk2QuM5NxvsTANrzlICmUOsUrLDzjHEAlvvZHe6Pa4CSFskvc1BntTBQcCs+eDAPAJSCQkHYSmQAokBOukAU4RZIQaNPWnVTClEewiGAyyUgLQxBH36E5W4oIIZFyeHYXbtGW4r9jZmhZBa9IJdILQp2jUzt5wlaioiItE9EsWBBNqSCFgxIxJIUgthjuSLmSOPPqVBUjsmLBKLP9JrJT9tyR+aGt3lAG6s6xy+5Az+4LrL3OWnWvf/jZR24oujeyN9yzDHNyAfDB24KM3XLGsSJxYnhTZk5O7uYimpmxOW6yGFW4MZ4rWLl7NstJJpEUs5tFeYVE6GyRu2dhJM4ooKLMRK6KUZkRB8zwkUk4SXAwzSrD4YMgDsSIq4hhxLKU0ux5s4edPWzr7bfeYrstttxui80HbL5F/y0277/lFv222Lzf5jH33XyLPlv02rbXJr033WTrTTfecpMNe224/0EHTJ06lfTmdMx6/4t3zrx+BH+bmjzvJ7U0Wlqr7t27LbbgIssssuxyi6204uIrr7D4SksvvMziCy6+QPeerbUWjsWcNOeNz/9z9k1n3f/sPdPnTm9toQo9/9rz30z5OlvuWuvSb/P+Ky27irtP+emnebPmTPx04kFHHPzK669YHATC0rSkKpWimhWBUnmU6J2tyc7uqVkwohz7ASnJUFYMViCwpOIMW3poFlz0uStDSIQEi7YatmaGOxU07llHnCFDn2gmGbGYwYSNjAPpSLizcJ7YGnk4YWfI18gyMEQoc+azglQjq0iZ/wvECq+45MA09RAatgpjNhUy3jWQYOga/mPBFzxPMkc7OFyoRBQEFp7hJDkz/ODhMnORsNOeTr6Mf3gxlDKTU3cYmUHAk1lBkHUilJMROANJJ7OoQSKwGAhBOyHUA0XgKZRg4EWB0kzCkS99y0hDJ9KxpjTqTGZhndw4VxQw37rJLjLKxVbBcVcGCf8YFymrp2AYxZk80RZINJlx3ZwxCugkmjmIRf8dWBTCnJxJ2LnMIgYSOm1W9g438CwWsmq2AlExFVzAxDCk5AYmNtKCx1k0S2B8TlSyTjY0UmKUdNzi9yanCE6NyxMWyAy01CeLNDKF4pxFQhVhxIEs+VgQilot0PkIhwk3IctS1GLRt5DiVGJyoe84VnMkFjhGyOA6KbOSWIKLmguHJu6hIFBzDDxyNiOTzrTglVaGUI4WAA8yGytAPoJ0DwQa3DpFQVnxJrYeSoT3/wqxs6BQsc5BR9RE0UUbMWQxRTugJByMKFAiVzUHnRbqYWeyAAvHPAfKjxNOx36BSAIhAcI2F1Lhy4WOyjAJ0C/DQl6MjGo8E5miLeTGQGoY4CCbCiFUzOCZqpZq0o+Tps+YLmle+9wfp37/w+RvJ03+Bvh+8jff//x125yZrtQ2e/Z3k77n9zDV5GHqVU1KFi92dkuwkvPBppH6bLXtsUccu9wyy6LXt3efvltt06KqMS83eIN6DAKxII05u8PPmjpt2uQpUzznRqP+85Qff5j8/fc/fzdpyveTJn8/6edvJ0//mZrmzZv34w8/ttc7XI1MBRwEOusNemUk4IbPZo9gyzrjyKwThRs63Alw4tDRKfbMLOSxOWGRaZC4oqiMVGUQ3ayoeVlMGT4OVZjgAdjQESsi1ELEErcDmeGTHQgTjm0x8wwjkz0lsHtRDhxownrJhw6BZIIVu3gieTMBvIlCiIqCJVM4iJkcPMmkhAymZGYpoSF4wZTJLFWyStiWq0w5fLoMPSMJKBMOwqEbTGzLSp6R3C94g3MstB2BF8SgFMOwF5RVeAwjS3jh0RI8hABGaJsSqs4MIOSTr+IxbyaZmSorXZXQhcGSyas4DU5JFwbPMln841TRdjIiKE2UCKvi1MyN63+l7qbOwT4LJ9ChBBp81EWaLnhIcgKRwEBiDbnwEXeXmMwUoBKbcCCIYboV1eDHR3n4WeHY4IBAK0lBkR4IMipzpEYzqBg0GEVadt+DQ0ihQyPwD0CEE/yYLHpkZsiTDJUQEoWzFwAGE0EBsssZBZOwMEcKAkUidDHiuEMqLv13QCImK7JBlVjuoZNRKTSuzIzesMusctZkAjUGLvn0j65MsiRRLJNJJMQFgnICk3J2gwbHuUsKQqV57J1bNoZEocgVg8xMDrhn4UcKr+SiJuXomhhlErM5DllpNWBugedIykPX0VVMDuUhQ93dvMkHceqj7kio8LmfceQODxNjKCuYWGTMIqHixwTKMYWHrsf9jgoQzsOe90UIpGAYS2kXgUQOcWFZcjMSI040DbscRrRAJjPUxFliKWisKJOgoA1NxQl3Qrg4n06byFyRrxMlcKk8Z1FWtEXBjilCG27Cn8gK/RDReKGXjEd1o2657jnjLkk9unZbd611u3bt+v6n72bx8G/wZM+N7PxjqyMp0vdYs3vOEouXFiN298hQiAlmWUlWeUpW8cCTmSkZQ1WVFIMOWGZSkRk/vSuTk2I4TmiTDMKSpQLE86b3qIbnHAFDER13syzDxLEJq6xIjhYYDMlQYDZJBq5IwXm7ffHNVxM+/fDjzyd+/NnHH3/+ycdffDLx808++XLip59/9tkXn37+xedffPXFF19/8dW3X379zZdff/vlN5O+/faHb6dNn9qltUtra7fUUpvrcx576e/nX3fO7Y/d8tan//lmyjeTZ02e1dHW4XNy4vtsx7w8Z/rcqT/M+H7ijx8+9dbjl996yVV3XPHZDxMXXXzR3/5mj7OHn7P2GmtPnz39kpsueu+rd6fVpz792j+//P7zllTbfosdTjrwlNWXW71txsy99tvr4b8/3F6fp+iYqwyDkEXViicYNZnYWWSJ4k2yqJNOUD6dCCjKioEPp+ESLHApdkdsUDJmmSTeSjJTXBbOUTPxz6BYUAQKbUoqMwAAEABJREFULgIak2JYBDeUCegy4zS40f9sLvbV3fl2H2hypChF8hkVBMiFGiYZAQz3kDYRxSkTn1CkTqnE+05oShwlgpfvo0bJ5GdBRwQDcxpjKsmadQoKIjSMsGaJGkvwoiUMHCEcLwEUg0SM1VQSoDSRd2EwqehLbpEMqm6UjX44Fvedgwu/oSLDgsthmigT4wDLClF0wAjsZiiVi3YJxBT5MTvqWEYSJClSwtJlkiIWfpTEDkGLTZbibg1pXJKX7BwPbtZkoW1meEgWoxg6dCGDUrDdpbByEFMMcyqE9EheLnP+GTLYpEU3IGBhIJG9GKijF7pc2EicD1DDjOJFm5zYLrTEQCrBEBzI4sXBcS7PpQlkFRBXEn7gRp5oY0krogx5KAcLW9JUXBFL0S/0vMTDGg/ZUYxLZSpSPKupwowzmLKYuAgYipDIik2QYlhBnIQDYDSBmKEcOxtOcMGWw0mISxPAxd6xc3AQi1SLY4MuPjmI4bK4Lu1HQJFFlwkZnmOGj8uwiQvmL9L5SPhAK0g8hBZ2MEuIpq2ZVRLBQypnFywIVsWIQqgg0OBLUXdcwmlwwLHM1twvgQMhdMNPKAVRVlSbOHsIAzzm4BYGU7HAU9MWhsNp+glVMo9c3FABcBCxjOzNaq3Vsy8+e8qgU1/596sIPv9m4vW3XXPNzZcBV998+TU3X3rlmEs++uJ9M73/zntnnXXmFVeP7Gh08IRw46C4syeOtwDnlICzRfW85GJLrL/Oeuv8eu3NNt6s0d7gR03nmcWNRz/nF2uBBG1Vevv9t4ecNez2O28jUX75u/3Bm/96yxV/u+3qv9165bW3Xvm3m6/8+zMPE/G7778befUV11x7TUfmb2SlLpwQXKUYUR2Zdja7sB3CixQhAC5GUXQZaGYqGP4h2V5m2hYNxhh/XhiYyAtTLk4Cxi4z43JxTl3MQUomRgp/YLQEEQy5mXHr8UlKOHZkogedQjx6NIMLC8VAw9FAj7AOJSOODIZUJsSsgMMw4Rzc3CwbM2sk4fCoB8eKCKgGOPuEoOnMQyCqYwuLHq3FAwwkkjGwUVyKAUIqkYys/As1t8ARgyCK0MigzYWIyyA8K0WeZgYHcFPcy6ZsUObwKQRNMxiChzP6JSVSS6YYLoMMPC6RqyjRIeIJDA6wk5TjYFTjxA0NZ5QVXyQdUhSIJIUxIjMQawrMIjZMcpOEgBBmkUTEISwsPDEHF4ExBImKyQJMZcOjw5AOT2WQHkFwERTxLFbqhAnWpJyFLLlvUICraJJggrM5zAUPE/wXnJJhO1Ir+9UMI8FQ0UMRBcnM4gqeQQEWIwlKBDbyFgMHnE2QALqHSBY6YgqEUot+KeW/UoVnbGJxoRgloIOVIOlVigg0Bw65cl7MiG4GLcfrfKS5KthKigEHKuG2NN8CgeGUKSMGOpkLIWSkJCFGGjOXo9mpJ8lMJoTRooKIbcBLp6EVKaxmRXANITpqjugOfTEFIpSNqTOlQItZQZjEXio4RnIoSRgEw4pQHNP5adD4EIhBTGbAQw1NL0olDYHDQdgEcFeoJUI5/iSLf5g6KHFNjDKxKgoTA5Pw5+gC7pyT6CFZGE4gJVTcmOd/5VAMV86xKxijBMB00vNI3i2aYsKoMw7sZtkgKoK02iqrLbPMsl9N+nLarCnCyuPZxIRj563hDB5WoDlnzw7krEwmAfTSnRxE/GQ5WWFml2feTYobtzxvKmIRMnfqYxKAlRLnUM5hqtR8EFlKVo6fsZj4VxisZkaCplicyZoDn4DBsVRVlhKNI5YbygjcQEwGZerWtfsff/u7wScNHHziwMEnDRp88uACg4acMnjwKQMHnzpo8GmnDzrt9CGnDxp8KiTQRAYNPgWkzKcMOuKQw9ddb52ZHTP+9e9/Xnv7X6+94+qbHxl/91N3PvDc/Q+98MD9z91397/uuuXxm6+7/9rLb73s5sfGffD1+wstuuDuu+1xwVnnX33Z1YcdcPjvd/99ty5df5zxww33/O3mv4956Ln7+Zl1p613+fNO+6234oZ/2O5PKy2x0oy2mfwJ7t4H753bPjfKoc9UYs1CWIyC6DNzAcqEUxRRKyxoAJbY/TgkgZolWTIEnEWx4DcHKalsIrNgB5gMZStPgyI1OOUSO53EaTEwY6SwEYOU6L+sefRwDs9gsgCRgUzia3YcAAdHFr91KnAFM9SwwwgswOdPjnrgXAZKWJl5kipWkhGLGbOklIKgcFWOyMBMAspkkTZsFXW4ZKGgHT0PBAqIJJwj3ylmQRh8VJqYQup034N2C3tmdJpAM5pOgjTSdWeSQQZfZgFQAeZBORyTjH8pxc0QOgmG03W4BhqXzDKbWMAY7mJYEZEfmxy4gjs/cfxDAshl/MMAwIVkBsOExB2UQsLUXfDMyqRYgguFomKJS2i5EUSiXpkVJrMVJpNZarY8mNRSvEoEQtXDl0K3XLBhOAMZACFUAHQEw8yEpkmJFUL4kZV/ZCIzcDf8kBQMT+FCokyDbeEJIpnwAuGsag54IFGJsYYmKmAAvpjDtUIGLlkpS2XwcPNAnBCspB8z+iykEjbhK3xDeuh6SBG4jL6BoOpSQSLZ6GvowsE0TJBG0TAlRXqoBL+YiNFEglUScA8GvjAEUPhfmM9Bq6kmkZExWK1cEYncJMV7h5C0oZiVCa5JFv+aMUKdlBTDYLGylERlhqLBwQVzE3BTUhSCZsZUWkRhhFSlYeg08SIKZfgB0Mhibi5FBIk7C9zMuEmULCtfPvKyx574+8y2mZVqs2bN/vizjyZ8OuHDzz78KOCjDz/7aPbsWS2qzZw+84UXX7ziqpETJrxfJSMrfoGMg93MJMorN708N/LSSyw9fOCw666+tm/vbevt9dzwnKM+51WJAsYAbaMX5qmW7n/4/ltuu+XDjz+slPgR6ZNPP3r3w7fnwztvf/T2t5O+SZ465tVfefnliy67cOJnE1OiHvYgRwdoMA7NzcBwWnheZhhChrKoHHnogCEtcosZQs1RXBQUVdb/lYQmLACZWbHEPURI4iZhBYQMJnLaRDbgxYY1pDKhixQkpCVEkA4jAJ9yxcz+BNbZYjglPVcE4BIeSYPdQLsJbmxs8RjagXjTNWIr6iDBxq70BdxRVWxNE2dfgsOFPq0DkeMl1rDCAYKwUSSgwGIz5J1sbIQyIJlZlRKziSme20KfBwR0KCnJ4HABgZjBYCo2TrxwY4Ipg+KGYy5tw9wQKK4iL65CXYQgCdCYWYQiZo4q3YDwwgwpXqgOCwAxlgDnymQgRc0MVEzYyg1HheYBCgrfjCn4ZpXFkBVnsJQSXiAD2MaIWBZiFrxzKiRGkOgrwoZaQWAjBkLY3CbkHK1CIyULZ9Mktl4R2+mPwhYfgggcZfeMF55YKl5UBolJVmYJBMxYZKIJwrXKMHyUpkEVr7IIWZyDFQcQdAhAJ8Dj5+Gyj0GZZGZcpSexcsFAId6CsmammKdoGtqwADc0jDaKYSDYyMCJ7yrnBxvSg0WGUWMhAgdBBe1I2YQFQJp8tC4cC1EENv+lUjQwgyEP1KVsYjBFz+WMTBTE4IpFil41MTSDTXTBCK+ROl5CQOq4ge8EjhCSWXAUw4jXVCYEShbMuMyFnoQcNq5NDJSKBlk1pcT1wgEJvTBDT9y7v6BBx2WyWMQSiMkYkkwiirFCm0Fw4cFEKaYyDJymiRbGUnhMaBsDDDAuoJmP45KsoZsAbZ4qb+kS/9XcxRddfJlllpldn/3WR2/MzrOAtjxzZr1tRvuMto7pfKNo65gJwGlrzJyVZwHozPZZs33OHJ/DH3nm+dy5ec7cxty59Tlz63Nn1+fMacyZ25gzL89t8hted2l2++wZc2e0zZsJzJw3o619JjCzo21mfWZbfRbzzMZMQrTVZ7Q12trqbfVcl/M6yvM65vGSShRLz9khKw1Axhbz/rFCm1nin7jM4JRSE8xkHFKXJRBraWnZbafdTjn6pFOPPgU45ehTTjnm5FOPPeXkY0465diTTzr25JPBjz3lpGNOOjHgxBOOOfGEo09A2hSddNzJJ59w6oihZ1498qoLzr1g11134UvU91O+e/uTN5994+knXvr7o88/9NiLjzz12j9e/uDlj7/9aFZjzrrrrXfCMSf8deTfLj7noj/85g9dqm5J1UILLNRSa6ksTZry3TOvPT2jbcbOvXf5Q/8/d809rKO27sob7r3Lfkv0XOr7Sd9fcsUlDz36UHu93SQaQNEWGFOSxYDNLhtMCY6Mf27N04KBFSZTNhcmomfN2wUMNVjMuMXMuOSWlEyBxuwm5EBwUgqpVRJm4Kb4xyQGmnIFwR3BRsXM7nCrcvacmwAeR3Y+oOlFWUq4N8USbgMJ3KQUEC+wgojhDqupbsK8oOGS6mIJuSTYUrgFa7KwM4+uFBEaSAAcmxjYctc25wwG5JzdGyQNzgwFgirg0VjcUa9FV3GeUSkAL/QyagHhHTGh4BYFkmADPDghpEWdt6ejj7vmbMhMBgE0F1gA/iETykCSGRTphFagbC/ZCWYzHnwQ5tgOltKN0CduKOIkUrXIKlybQEko6kmhH5fFVNQk419xQiQMcB5VxZ8twyQ6iHUogEYAmSmGQwCp0MYgcnMOafEkoRq5NZGmFFZEMmzNBY8r5MZqJslkZux1UhLHM5uxgZx28iVmAAkZtqEarryJgJoYZWIt4AhBTMbcnKgj8HLBbSo0RYXXaSJYRPmFgkYb5i9IkNBlIdNYY1NiJRfFaOL0lJKctFGHTQYAeKcYFlCIMkH8P4DAi9dSuMD/H5VgEEc4RjMSx0iM+cqxsbAAmKg0lYvUi1GwE5NzzQf2KVDDin2QAmHO0B4709SFivLEGvuWWEk0mYEQSf9/A8PghrA4hXDsO2Pxyx+pKhjhUDymmgW7UFQmRfx2NOrf/zBJsmUXW27v3fbbf4+D99n9wD/vtt9eu+6z1y77/GnnvwB77brv3rvvs+l6vVqr1vZ57VOmTBUeaA399wjD1pRQEZlPcdmNV9tKy660wVobVKrxRUsoZ8V3szA0kRQnmtvV3Mo8s62NJBfssfBv+v1ur13232vX/f+8635770oa+/5xl8hkr13223u3/bfZtF/X1m5z2udNmz7dYsiMN5h5DsIUs0wxMitkcjN6ycdiF2mFjPrdQ+xQJGAkFzwJukyspKcyzGXQwtxJHr536nsu/DCnHvErKg5hOS0QDzNQKVmAZGIgByENqUzRFllKtaqqmFJrlVpqATBaKjhW1VSrrAZeM1w4Zix8t2rmIrNkXFWqtdb4E2VLa1W11lpaW1q7VC1daq1dq1bmLq21Li21LqGQamw7mQCkn0tRzuAplblPyYuckBBESkm1lpZUlQ/n7uw0VRGYiFWXFnahvX1ejmKz80rIaDg2Ri3JVP4ZM5fKMMnMZJWxGxFJfDSpGSkRAj5VSUrEIAfkloVCEifEDFPAUmBo4cFDywRXMZpSlOUAABAASURBVMxSaps9s70+t6JjxpApiYGixKNPyfiF0TkRWMY+snPYx6aklGpdWugeCN3AErlieEbZaY1Dcbmw4q0XxRraVTIAN/AlJ4515supqywFG2sUTEkM5ypAvwiVwSm/amF/KyeQIjJ+JA4UwCqrpcQ+tFRVS0uttVa1Vk2odalqXWq1QtYQtdTofQkVVjk2zInnlBC5kV5ABBaRrFZL4a2limYRVwzUraoqUurIHZmfezlx2IvLsXFHwQkhozNMCKIE7hKCpBCiUiILj/x4HIGRhp0YbiYallqqlMxwZDgxvkDTLvqDJnS2XMFTTpV11OfNmD0jq1HVMJCbGKEJYviAgxFENvcEpyVVramiqCqRgRnbgUsEqaWlpda1VtVaklX44gJSLVEsgWLGNsgq1SoyJGJVWa2KrtfYn+KJ7SGYcUw9/ptHDeUYUV65gUAAqSJOF0wjBzpC2rCdHolkyFkuU3NkZ4VAmkOYaZmZhdzMkAFGjSzwUlkwMSMJQ24MHEcIqgLDCeyIwAKEhdREyEVlZGHW5KEJIMFrQUISOISaKiW3ODjk4dzsBt/CD1UZ8QqKmQfuUFweR8dlHGL3nB0f3hzIrbKWri33PHTvLnvs8ru9fv/GG29waG5/8tZh1w8efuPQM24KGDFq+Bk3DR9x07DhNw0746ZhI0YNHTFq2Igbh424YfgZ1w8749phw68dcsbfhg4Drhk87K+Dhl4zcNg1AwcHnD74mtOGXHP6oKtPG3jlaceff9wXP3xV9/qTrzwx+OqBA685bRCiv54+uECoXYPV6UOuGTj0rwMHIf3raYOuOuXUy078x6tP1NX4/KvPf7vXnjeMvmH23NnG4OCXMkSt/JoQZ9BMgmJ2Vln5pxg+n21BcTnb3XCvi9di+S8wZ45RvYPqU6PDueca7bk+r1Gf24TcmJvzPK+3O8pIVRfQJbWs8+u1//z7vUZeeuU/nnjqnrvuOWvEmQcdcOBuv/nNDjvssMvOO+/z578MPvm0MdeOev4fz953692nH39av636Lr7wYvV69kZmKzrq9YbnDdfbsFZrMbN+m/Xfvfdvu6k7H1mVlXJt7RXXO3H/kxbpvtiX33w14vyz/vn0Pyu+HGPJAfPYWSlTkymJY2LcfM4JFMPdqV9cHJZSPnroqMjLhLoUIpNLMk4yswxWipuTc0xSKRjWMESV1bq0tHZp4b6uUmpprXXp1trS2lJVaKbiw8XTx7Iim2BEFnHlHAlTsiumwnJYkXwQ8lottXZt4XUJEg8GAtQSZDBbW2stLa1dW1u7dSEWzgtgR73kpVINvHhFypWSqprRJwoMEMEJxHPJyDzVKqoNY4VmqqhPQo+GRUpuZchNZVQ8P1pqlBgUp05Yy+hKpVRTarGqZlYToCqpkhLOrIwUJrQC59DJjOKjucbrj83LZhmWwiGTZa9aUqqMvrgMWy4Pc5ELxggSTmqJGbUA0FpVValKyXhzY8DaUvEySrVEKApi+2FHZDw6niTLioHv8OrRn+hksydgIWwmYAw2TDLcW6pM8QFWDBwhCwQ3JAkmWWy/vPNfieKIcRwgWWQida4mC5Sy3CpZzaqWKrXWUpcqtVhqSRVkmWstVUWZMafEByHCcf8SxkSRxpBZVSWOTkqKcggqiR7LKuNjEiLjxRE/9cCXCcICo9dlpRzIMBC2jkYhISJzpLzY4OATgBUkCSgONnyPg0G9HlKMYMnoPGtoxUIjXMRiDQUwuMGIRaLtZiQvPAhKoVBokCYEy0DFmL8UE9KTklmFLQoACEqSSTIG+5LAHdSKCYhimMykEieygjLRQEG4ZPzzYqSwsmCL81BqQu7sHUwxEiRiKDMmXMZcqqrizkPF8VaZdXqCgb4sZ5zIDbeFxeQhSBkfIAkLQKiZqFASZPiRAmPCWmoqIEpu7C4M2BZJyKANb84Q78Cc4/gsschSO/fZddc+e+zWZ4/d++25x4Df/Xb73/92xz/9fqe9frvzH/fcea9N1+/FcxkbF8ek1FyQcCdjBJ+8xaBL6OC8lEE/C4QOEsfW3cgARizQUpALLbDIbjvs+ftd//y7nf+0505/3GOHPclhj+1/t3v/PXffDnzPrTfp3b1bD5RdWcYadzm+uA+IDk1G9JAOhxQFDyqL8+kk5MqhA9OQRedpihvdIz84MotZ4qw2EW4gRGIkEmQpYIp/anKoRJ4tBDSnwWoytjHneY2OV1575e9P/H32nNk0AmkThHuFsSX76puvHnzsgbsfvPveh4B77nnonnsfvOe+R+4NePS++x+9/4G/3w/+4GP3fzzxIyOdKCETE1eEKoXp9Tf/c+2oa68bfd11N11//ajrrx0Fct31o68Hv2HMDdePuf6GsTfcOOaGG0ff8OEnE2qtbGPNK2+keq41cs1zi+da9qqRq5xTw1o4ZID9+41X/3Lw3rfeeeu8eXNMmd40G8jX9BNOPX6djde59sZrPVONmaWG8tSZU9778J233n9j0tQf6lZPNerr7F7ZFzQdVVeK7zy1PK1t6hvvv/nKm6989+N3dXXAVE3O5mFXM2vhNVufPmfmrI45ZJUqqyqlAGc2vphU3tFoxynRkyFNhx55yIZbbHjLXeNLnqXL9KjCT6Oh+K+JkGS2XE8Nam+kDq9ySpiaJfvDX35/ypBTvpn0bRwHrADnUnIigPD8Cq+0HeDYyDVj+tQHHnnw+VeeT5RKZa4qdBtu6EtJtZbEN5aGOlKVTMr8k2Sa19E+c/asxDCbO3fOdaOv3XPvPT+Y+AFpuJmMWMnBzDFrb+945LGHbxx7443jb7pp/I03jrtx1PhRo24eNeqW0aNuGTPm1jFjbxs79rZxY28be8e9t3/13Te1Wq1qrbyW2dNOqHKjamQgUXijtUtllVyZ8/Cnff507/1380CIokjNTCn98POPhxx1yGZb9/po4ifzGvPmecc8bwfa89yGNaqqIsVIUjGRZviSIJpOIEH4xAhYEg2WEJoUuKc8dcaUr77/ip31KpOqagmJTIC1VHVvsK1W0Z2AZ55/bu0N19lpj51+mvxjVUvJcJI4i8QNC483MHuEqtVsStvUR5585IYx19/78L1ffv8lsWB6Cse5UT/r3BGHHX3YO++/yb7UaqlqSe999MF7H7339kfvvs384bvvfPjO2xPeDvjgnbcmvP3tD9+0dGl98503hp05dNytY/l4Z1VSZXXrqHtHrrIbr9B6hlS9wztUKaHgllJ68p9P7vSbHe+45072kW64GG60RpateaiQUIGckpSySFJJbEWS0MPCQgwBO+a4OBkwU+hymOLPhk0lNySiD1iiZ0VBzBHSDWdy4qIFj1gSyrDd5aZgy0EU6kg8C6EgxTCrKhlBE5mYZFwSi8WVyhZIWBQXao4ImXGenbiFZfGpGcyzkpHTGeeOOOSIQ154+aXvv/+hUW90rXWdV2+fMmvy1ICpU2dPmQLMmjJl1pSpcGb/PG3WlOmzpk4Pcgo4zOltk6e0/Vxg8uS2KZPbfgamtk2e2jaFuXCmTGmbPHnGz5VV3Wrd6vWOaW1TpyKdNXna7KlTgVmTw8+sKTNmTQNCOisUwnbmlPZ6R0vVmrx69713Tx8+8OIrL/aaUQHgEo96syorZ3oXe+wNOaXJ+BdbiFqASWaWYt9Li41zQ6fwwNZnNgBC1mjgRp49N3JmBtwbDhqze27UG97weqPRqNcbda+Xr2fdWrstsegSW2621eGHHH7BeReNun70LWNvGXfT+CsvvfLUE07bfafdf73SrxbpuUhr1UJqypYbjezu2RuRtbq0duna2mWFZVbot1nfhboumsTvYGTuyp48rbrE6kfudeziPZb48acfjj7xqOdeei7LyBIPQkup7KxTHKRknBDFAImFAo2olC8iJweBTiwh5YKDTiBxJCQT76ZJP37/+tuv/zSFm91QD+2k6TOnP/z3h55+7l+pSlVL7a133x46fMgb77xhZtz/1pKssjr3oNUbqaM82+u5ajSazz0eeuCpUR77uUHWOM3mjrVVKb308st/+POfhp41tLVbqxEgJb5cjRk/eujwoe998G62vO9B++6wyw4TPv7QCKbmoBORu8UUHBAqe/GVF++8984ZM2cmIwY8R05xEz+duN+h+5113pkdHe3mxpuuI3fMmjeraq1UyQxlVbWqbc6sSZN/4Cs9D5BaSws3yC6/3QWHtapCBSZPzo8//3jiVxM//eqzz77+9ItvP//yuy940H016atvf/j2ux+/+fbHbwHep3TJLNWqmlWiM3VReCOnjpwazpmNt2dBat7StTZjzsw9/vjbCy67kD7TFylJMlkCXGa0tYNPDq+9+eq/33jllTdfffk/L7/yn5eZX379xVdff+mzrz5vId2W2h133XHoMYf9/cm/G4+xjCdKF8OlVEvtjXZu8Hm5nUdlu9rbvb2heBfnKv6TTagTyNjyTiNsKq+cG/nN9998+c1XJk2ZlC1bSmRlDOdKqarxEGzv3Pp6Tpk3XT32us7ue2XCwJUkMwzFqZZEZvJiXyW3/Mjjj9xx/x13PHDHnffdccf9d95x35133H/HnQ/cdft9t99+byfcce8dz7/4PHskMyA2ET/ZU6Wvvv7ioUfu/2jih0oWdxW3RzwafMKH7+34mx2v+ttVs+fMMjMxUiYcd40ZpBl9gdkJwZFoXLiXFDSXVEnzCWNUncR/d0eg1CRyMYYkN6lgMZU47k2GkMSFwN1pRDKZhUXMrOiJgRACHgBp4YTkJXRVhmeYpbEu5cKS86+JyZEWXdqBQtMumP/1HJqd0kAlTIq02HVS4MXcCSWGGW1GBhMQoylAjz0NVnFBfMgGVyfJEtDMFOUonVYaPTCKwxCmxPkzJtgychPDgkGvJPSEY3SFOahQl5NQnK2gmxdBwiYMczYaJVSgxHM1jLmcS9kkwXf4kWkW/xx9pNlzPbPiPaWaJR5NXZK1WtUlpdZUdakSPzV1raWuqQlV11TrWhV+lbpUFTjQJVXwWy3xiGwxbkLA5TmiKlnEpwGKEXi5Qu6ZzS7R5TQxtdYsbpXQIz8EVA14tkTOCVSC64rNcFmsoATAGyKEHs4xEEzB8vmjGMPJmak4ycGKO6Ew8OCl8xjJ1ERj5jNyqLs3Gt42c+aNY286ZfBp33z3TWSMQKiyP0Y62fGQXnz1pZMGn3zYCUccfvwRhx97+OHHHnbYcYcddsxhhxxz2KFHH3rI0YcefNShhx5zCJx7HrjXHSNM2enwY5ZoVz03nvjHE2edf/YZ557J03n4OWcAg88ccsrQ004ddvrgEUMGDx8MDBw+eNAZg55+9umUKh7EF1928fa7bN9/5wEDdhrQf6cy7zhgwC7b7fLb3R5/8okqpWTV95Mm/f2pxz6cOKHeqNMk3s/KOXt99Libxt0+brvtBhx2yKFVZamqvvjq88FnDdqy/1Z9du7bf9cBG22x4YGHH/jCK8/zVMWR6DqFuxiKYcQmAAAQAElEQVTsDefhw08/HDxi8ObbbNF3x77b77bDZltvtvcB+zz2jycIxKlILTa3fc6d99+90+67rLfxehtvvvHBRx76yn9ezewpvcYj+17ZyGuu2OMPe7zy2su0I3vOjfrll49cfoXlr7zmytfffC1VSuZVSi+8+Nze++7Vf+f+fXfo12+H/n126LftDn377NCnz459z73w3I6OOjpS4+XXXn5vwvvz5s5NnAVrDolVHCaenYr0zY1zwOY3srK/P+GDgcMHHXficR6chvOvQSKGqsPK6mjv2Lb/Nnv+cc+33nqjuIoCpk6ZOvzs4Vv13eKrb7+qWa3RaHw88ZNnX35h9rw5VWtlldEi3glGWNy65syePWb82LMvOPusc88ccd5ZZ5x31vDzzmRbTxly2mlDTjt96OnMAOTQs8548523UhWfFQYNGbT9Ljtst8t2A9jinQf033lAv53799u5L+TPU6ck8aHKJnzy0T+e+8fEzz6NhDO3gxjc16NvGfPPZ/919JFH/+pXq+2y+86bbbPZZr17bbZNry36bHn6kNNrXVpkhqaSZRBOsZSiS8GjcDfd/cA9f9jnDwceccAnn39itZoZ73bB/+LrL08+7eRNttps0y17bbLlpqcPG/T511+kpGSivamqfffD9wcdcfCBhx6Y6a8sN3zXnXc94rDDP5jw3iVXXjpr3mxPcQ8mNgJ3BCQBEyXPnN3Gbw29t9tm30P2HzRiyKHHHN57wDanDD712+++rSEmhvTPZ56+/5H7vv72m1RVlqr29nq/Hfuj1me7Pn2379tvp359d+wXt8POA/ru2L/f9n3PueD8qlb77Isv7rjnzieefordqar0zPPP7rzHrptu3WvTLTfbdKvNNtka2HTTrXr12maLCy+9uKpVZJQs/fjzD/9+4998cDQziUqojzMB7hYoiOg4qMFmr1UG7TOG6AciJBwBoeHNatGDHb3Clo8JQRQ7+m/YFBzXYRXueXoBETAkcItBU5GTigrKiDz4oeZEVqbJKgFJx1HyRkYPrMR3xYPOnUdByPDm4YILkjmkLIChGV4LikdnmGAme+jRR8bfcnNLrVuvX2++Z+/f/bn/Pvtst+/e2+27z4D9gH2322+f7ffbb7sD9t/uwP23P2D/7Q/af4eD9ws4aL8dDjpgx4P23/FgOOX/QevA/Xc6aL+dD9p/pwMP2PlgYP+dDzoA2OmgA3Y6cL8dD9g3/q+3Dth/h0D23+FAkP0x3+HgAwIOYsbVATsetC+awPYH7Lvdfn8hkwH77t3/L3v123uvvn/53bZ/3Hrd3j27LcCvVx988G7izxaiCudmFg2hHplZMqsqxeGkIYhNJtFxZoHQhuQys9jNJq14ploI6bjT4xzDPTs4M1y5O6+grODgDJwnTKMogOTsDc91b3Q0OtobHfM62mfPmzd77rw57e1zO+odOWcnRm4Qj/cS/tyMgObNIZ89Z07Xbt0m/TTp5bdfnj53miWlikJIVpaT1au1llt3310OXHaR5dpmte1/6H6PPv5I+7wOuXFjenaRWHFVDJyjRjWyQJxQQcSFNMIjEFdohdRVhrlFWzxITy3VqPFjdv/jbx94+EHjHOE8GwZff/P1hZdcPGbs2AYn0fThxI+vHXXDex9OwFaqyPmBhx/Ycbedtu7Xe6t+22zVb+ut+m+9df9teg/ovc2AbbfZrs+22/fddoc+QJ8d+wwePmjy5J/NMBOlplo1ffbMdz567/Ovvkh8oOBhwTebKv3r6acf/PtD30363s0//uzjtz94Z87cOeibTAHCg5mJf8bN51bZzDltI6+96vATj/z6u29CYjlmWlqL//DqRxM/io8Bojk+Zdr0wSOGbrz5pl9/+3VK4dXMqlrtiqtGbtlnS/6CWqUqpeqr774h7vc/TrJkBOXhc/tdd/Tuv81WfXtv2WerrbftvcW2W26+zRa9em++We/NNtlq0w233GSjrTbecMuNNtlqkynTp1ZV1WjUL7rkQp5s2+7YZ5vte28zgJ5sW3oSc+/tth1+5vCZs2a219tfeu3lCZ982N7RnkSs2AwWuZMYHfjmu2+PPfk43tQ77r7Tjr/ZaSfm3Zl33nGPnXf63a6XXnGZWUqpNuGjCQ899vBHH38EKU6JcSt0uqq11I487qg+5c27zXbb9o5Mttlmu967/m7XgSMGP/3Ssx1ep4eSkpVRSz9Pm3zRyIt6b99nwG7b77zHLjxgjz312A8/naAiF4ma1Vqqa2/4a/+d+/N267/zdv13GQDssNsOf9pvr3MuPvfZl56ZNmsqh8pFGs7hkzi1lAVuxKKx8+a1jzjnzONOPu74E4899qTjjj3l+GNPOe7I44868vgjTzj1xBNPP/HkgSefNOiUkwaecuO4m6rWFo4k9uL0u4cHS8+//PwJp5/44CMPSbzmHIkI5z5zVtsr//n3F998wV2SKnSDLRn/4HDuaa4kPtIrRnhDA5HjOS5zNyQxI+Q2gBD3nLgzJKRiazwOFGLoztKKQB5moI4s4acTjR0xWF78uAy3HsqKEeFQlIx/IhZenLWAJ2MNf7E2UShUwDsBuhPDZwAUGyXhFUVAKq7BmrpspthLoQzPxAhB5AQq0iykR6IJZdIpgCZrqPAcDm2uoKQm2yJMaRSeDUm4kVugLHIhJKJIrfAKRw6OJguI6Bby6JfCPYhzgEIihhPLLCj3jAxWcNwYLsc4EC7xcfb5l5695fbxU2dMlTR1xk/PvvbUv177x79ee+qZf//jX//+x9PAq08+/fKT/3rlyadeeuL9ie/x/MYfj6E7773r7gfvvffB++4DHrrv3ofuB7+3cO596N57HryvkPff+/D99zx0HyTzvQ+FPvjdDxbO/ffddd89d99/D/Md99z1ycSJ8jxr9owXX3/2mVeeBJ5+5YlnXv3HM68++cy/gadI5p//fuo/7782e95sanziqSfuuv+Otye81VAH7zc4cjpTymOlTpnJKF2sjlBucDlZcmoIcDiAIfUsdIPJigGAlstiP4TI2BHE7kxBs2DHLASFKfot4kGEwzhbc9vnfvbl58suv2yP7t2R4AwgPLPjie1x56FKWiussMKxRx0bcPRxxxx17DFHHXPs0cceEwBy9DFHHXfUkUf32nxzHg080oRNqixxhqlXLVW1ff/tzxw64qxhZzbnIQOHbL75FilV/fsNGD7kjGEDhw07fejQ04cOPnXwFptv0cwk5zx95rRp06ZOnT51GjBj+oyZ07/44vOPPp4wY/o0ijBKtmZBTsWlEeJp+M7779w0ftSSSy456NRBC/ZcMFn6+tuvjjn52DG3jOnSpctuO+261+//uO666z35zydPHXzq8y+94EmRqJnMLKlqqT794tOTTj/lhlE3UMH2/bbbfZffrLTSys+9+NzJp598y523tHatyfTkv/5x1nlnzZ49e7+/7LfT9ju+/sbrA4cN+m7S98mEtGqpvfLaKzeNumGppZbadJPNhOeKIFp+2eWOO/r4qTOm8Qc9PoEEP1lHvWPq9GnAtBlTEVHmzFkzfvz5J14t3/7wnRlaYZu9AWYphsrwztkYHkMcE7nnDGQzff7lZ3Pmzv716r+mEPYTUQhDioIzaNcPP//0/Y/ft3e0y2i8Rxs9t82eOXna5JxxYvCdB4rlVFnVDG4MfoBLQmbq3r37QfsdeMagM84YcuYZQ84YMfSM4UOGL7/88l1aW3fYbodhg4cNGzgUGHra0FOOO2ntNdcmRDJ1tLdPmTL55yk/N2HKtMk//fzTJ59NfG/Ce/V6I1ybIiGOo5QzF/mKxr7x1n9uGnNj76233n2X3WoJRXXr3rVbj278CvvVd1/9NIU/EVgyS+K2M3zwtQdHQJx4dxrI16fxd9z80msvrf6r1ddea21vNPCOZr3ecd2o6x55/NF+/fqefOKJ2/bZ9t4H7r3qr1dPnzkdJ/ia2zH39rtue/0/rx126OGttdZIzdXoaJx+yunrr7vBY0889tIrL9MhJYlGmjCxCKyO3HHHPXdcesXl89rn7PPnfU478dSjDjtqtVVXu/XO23g9U3viT2fUgraZJc4sFVhLa8shBx58+CFHHHHIEYcfcthiiy7KB4Idd9zpyMOOPOLQIw495PB+ffqymQSTshGy2LW2tnTtyh8DWlriP9TUtQtEt25tc9s4S9PbZlgihsQeRDvFsMIAoTdS80wFhQ4SQGLCQEVKHCzd1bRzCQ4XljDVfOi4HBv0EQcXDIAHrYIVxLBzPDur1ETcxGAC0KSVTZcSDCC+5ZtyeG2aEQsZm1tiR1YWt4EkcBc+mFA3LiihDyOwuECJCwaCarlFpNlzZj/1r6emTJ228eqbHPrbI/fo/budNt1lwMY7br/RDtttvMOAjbbvvyGwXb8NB/TZsH+fDQb02aBfn/X7bbte323WB/pss+6226y37Tbr99l6vT691++zzfrbbrNen5g3COY2G/TddsN+MRekz4b9+m7Qvwl9msj6+OyPt4D1+zJvg3OU1+/TZ4O+6PRZf7u+6w/ot8F222204w6b7Ljb5rv/eYd91l5lnbnt8x569KFUReEWjTSqip5R9C9Q6GbBtKI0DYruoFt2ltWEdUgzrQxm9IX2wMqIoYKgoRBoYl9mZ18Ei6tplMGa0BQ5alyOg1DDSWRjFjNOgLDzIitTe71j773+UlXVky8/8cDT98xptHUmTGLZSa5FLZuu0esP/f+49MJLz2ibOfzc4fc/eh+vYITyeIFZDEVcJZU4TNRHbMKJKO5Ii1sIgZeuwWxqOdzwhraJW5NPz4aLZBaQxGxuHCJTTgq3hoW4DDWT81FLmafT519//vlXX7TNbps1e1bArJkz2mYUmD595jTuzeltM6fNmN42q42MeCDMnD3zjXffAHgftdfbp0+f/t77770/4f2PJ35cb9TndswjKzTF5XylbZAPyZCBLBtDhCcL5NlkZP7Djz9MnTa11tKy3HLLyYyPVe9MePfN9974z7tvTPhkAm8KXgc4Kc86J8Ofp/zU4AuGLHyWi6/M/OUHpzQlKubUGLXLzGRSslqtYnNXW3XVAf36Deg/YED/7Qf03267/gO26zdgQL/+QP8+/fr16bvNNtvyLjYzsuqod8yeO2fuvLlz2+dNmTFt4ueffPbFp7Nmz54Dcy7fyOvRSi7LzoaaZBGfRSY8eKTifOKoqmqBBXoesP8BRx5+xBEFDj/0sD133xOlskUyMcJYgTp+wlZluFJKdP6Tzz758psvf5z84+Spk6dOn/LDzz++9e47o8aOOvTowy6/+nJ2gVcgSSsZx+CKqy+/+rprFlts0YP3P/DYI4/ZeKON7n/4/ouvuGTGrOkkFkHNUmVz5s3hb26ffv7pN999zUeRr77+8tPPJ774ygtX/u3KQ44+hD9XvvPBO7zXIg8vOZKaBeKlxd26dTv6qKOHlnfo8EFDRww548D9D6RSPuGcfNLJQwcPEjL8GwAAEABJREFUGzpwCK/XYQOH7PWHP5V3mZz7jrawEx7oZP4AP3fOUksvVSgm5z4tQZrnlTgSEYlpKQ4sMpcbXjLn2eEZ3aJ1LglUDDOTSFAMk5U5Jnfw0AtCDtZJu7AIWoLTObmEZxEFHnIQbzLkcBWq2Dg88kaqogTiYgRBpgqxYBYIxBnCpSMRFz6QxQxT8we0S3GwECqcKZDO0E28lPA/HLPiAVNUHSOjYAdH/Rc16MCLppRkgAlEFiLJxMBQboEWbiDBbfryUHXr1HQEAFGNpTCpu+CsqAX3f67wampuD7YWIibQANwgI3YQPJ5quv3eO44//cThZ58xecpkcv3+5+9vf+iWm+8fc/MDY29+YMwtD4CMBhn3wJhx940ef9+ol994gWeBmY2/efygoUOGDBvCDAwZOmTwkEGDhg4GHzRs8KAhgwcPGTJ46JBQGDx4EP8KZ9AQvgIMGgw+NHQGNZHBIR40aPBrr7/GY3X6zOl3P3r7uHtvGnfvqLH3jh5/76jx5HM/+QDjbr5/7NOvPDVn7mwqG3Pz2NOHDxo8YvB7H73PI4yCjFOMwBhliUmKB5tHW+VJMsCKHk8x8GiiOxw1N4BlPqDqhdlsKKZFDR6rldE8JkJUAojBEXQ+QntuNHDw3XfffjLxk/XWXnfBBRbiNzOMUBEO3RKOnG2EMpP9apVVzx521lmDzzxr8Iizh5x59uCzzh50JnDO4DPPghwy4szBZ2zfb0AyHllKYRQXlaSkWpW22mKLYw4/+oQjjz3pmBNOPO6ELXptPmPGdBLZZKONDz7w4EGnDRx46ukDTzl94MkDe228qTwrNw7a/4DRN4y++aZx44FR48aPGjdu7Litt9qKnDi53P6JPEWWYoAbsWvGG+ieB+7hO8bxRx675uprePaqpRp769hX3nh1pRVXuvi8Cy8975ILRpz3t8uvPmi/g/hkP/62cfy6Q7WJ3QWqZLU04uwRL7/6MrmNvOjyqy+76oqLL7/+mmsP2Hf/tlkz+cvAhI8+nDlrxjPPPjN39twLzjp/xMBh551xzsH7HzTxs0+f/MeTxmbLfp7887U3XNte7xg6aGj37j0it8qqKqVU6731NltusdUT/3ry36+/Sm6SbbbJZoQYd93o8TeMHX/9mHE3jLt51PhjjjiGtifDFKCjiVeNQcKKuaZUMOxNig+g9IJuWKZBOXvO3Atvv/dO26xZ22+/PduOrQxNZ3J+cm6grEipwjm2nCU3hGVCEzFWYeCeGxlwXIumFzAOrphSqrp267rnb/Y8+vCjjzvi6BOPPv74o49bcYXlZ7TNrLXUNu+1+RGHHjHw1IGnn3Tq6SeeetxRbMrq7vH95KTjThx7A8WOHX8jMG78jeMuu+iydddeT4QwcuTIohghZSqlWoq7KPPXM1fedcddl1l62ZRqV15+5ehrR425YfTuu+7e0tJCGVjiIFxISQKPy2JIoi0PP/bw2x+8vcpKK590/EneoVzPTijzaTOn8VF1++23O/+scwefcvr5Z5y7yw67PPHkE19+9aVMVtm7H7x71313bcfHhj79+IqlHH1zzz279eBU//jTj4889jBnA+VExgRzFktVxTfA2+6+fU77HL6FXnDm+YNPHnTm4DOuuuTKtddc67mXnnuAz8e1miuSQHvS5B8++uLjn6b9zInm5jpv+DnnjTiH89Cta/eWWu3YI4/hTjx76JnnDD3793v8gW0mgQglds7d8kYbbXj5JZeNuXHs2BvH0pbR148afcOo3+3xWzrD/SiSk1FNjtY6uwwh0SeZUFFJAyxIpIEVLbqKLDTQY+NDHsK44CjkxlTciWFcWHgnwwsCs9C/eDaDhZlYzUqCMoHIWcJFtEVCQmYswQ2x5g8jJ46kYKKkTs9IEQCKyxEqgQHhBmknwCiYBztsC4PfeL7/YZLn3Gu9LbrVuqsur7t3AAYS/+E8vp7Xk+rWiTfkWXyCUcMsm3LMiajZ4MTnVfQbpg7xg0mue47/TxDzuqyuohB8b3hAnQPpqjuBUIj/8Yt6aKqp2WHeziE2qydrBFReVZ4W7LLQwt0XIvc4q4k/0kQ50YsoKVqAiB4ACm65wDg6/FEpandHgxLQd49CmAF6Exx5DKyClQNvIqCIgE6WizbknJ26i6khEBeCQuNCMlxGTiQAGDwYAETMZtZUga7Paz/h6OP5eaKRGk+++vi4h8e01WdmPAohTp0utXjL5mtv/eed9unR2uPr7766+IqLHn384QZdRgdPzCWYBSIzopvJsA+GJQWHHArFGikousGEFrGatVIKZDJG9vzz1MlffPvVl99/9cV3X3zx9Rdff/c1f63LOW4qRRs9s2DopRQ37mUCrbDCiuNGjRt7/Zix1wFjx103dtz148o8Ztx1Y8ZdH3DKcacstujitVrt7XffOv70448++ZjrRl/Pz3Bvv/f24UcfeeQJR599wdlTpk3l5ZLL8EbOBCJ9I0IBgZUKQEiAjJNbxV/bPuTj/hq/+vWiiy0ms1dfe43fB489+dhjTjnuwssumvTDj5iRJxaUjoLTI5N4LUaT8EIMlXpE6xUSmoKWSfQlIFXJZLvusuvll4+8kjHyiitHXnHFyJFXXX7FVZdfefVlV159+VXXXH7VVZddsWDPnrivpeqQ/Q8ec+3osTeMpTOnnHDSYosutt56648bNWbM9aPHXD/q6COP6t6zuxnR3Bg8WAEQOCQRRysSgJFSWmShhYeeNuTc4WefO/ycc4efe96Z5x1z1NGIJLStbAjKUtRgUUP0DcSQ05+qla7XfrPrb267+bbbxt5669hbbxt32w3XXv/bPfaYO2f2FVePHH3z6FqXyoxqE9/Kxt9+81prrnXBWecT7sxBI84/89ytttzqH/96isOAjhictcRvkT0k27b3treOueXWUTffetP4W0eNv/Hq6/f+4971euP2u28/YeAJb7//Fl+3LEZiclMZsfLMP+qwI+IFetJpA0867YhDD2+ptbS3t/Nldeuttz7uqONOPenUk4898aRjT9xjt90bDR40URlnAsDJrFmzvvzqi7nz5q25xhqO1MOnRQXEkSzKp5FxhMg2TOGoc3SmIev8B9viamqCFQhWQcqEebPJ2MAgQNXEmr5hAXDFVRSJLlw4+4NEweaSggdigcjNwcWRiQKwMy5INaVCENcvzKZysFQ09P85rHATM/o+3xjyfwBJ03nhxYHDCnB50zN4EcWEOBZDQoIeuMSBhQ4npsTzxCwiKk5haJj+z/iF5JeipPlUycIsSFN5YhEeD+Egs8qYMzEsnLGb7gUru4FSCjbmidhmcAMcRMlU+d333/PZF5/Pbpvb6l1b1DXlqn1eBz+AxK8gc9vnzmufy1++5s6bPYcxlx9COto7LFc1b5nTNm8af6KePH3q5GlTJk//+edpUzvxadN+njZt8oxp8H+eOuWnqVN+njb55+mTf+JH9SCn/TwdDjD1p2lTA5/OPG3ydKA+N1fegv+5c+bNJoPZc0Hmze1o59P93HbmjpjbeRG2eGurus2bU58+bfrrb/znw48/ZANcUaNkss4RuEx8Spa5sR2m6JQzJQM3xRwUmxqohSh0FC1CLC46BomELUQGGBcQ28EnvcDQc09S5isFqWRxy+VGbu3acs+D98yeM2vVX6224MILCTXhhWiK1YyMFXlhirm1Vq0tqlqcDsfbveZ8sK3V1NLitYpfeVJrS2qJnVSKpH7xYSYgriRLM9tmXn7FyIMPO/i99z9w19+u+9tW22x5wKH73//IAzPaZqQat2VyWaPuKyy3Yq8NNu+10ea9Nu612YYx995i64UXWgRPlgynIKJ15MpiViWllurjTz959sXnFltkscMOOjTXG+jh9pkXns3Kf9j997tuv8syiy61SPdFfr3Cr4488NC111jrpVdfmjZjikVcWVJVS+9PeP/RJ/6+zFJLnXD0CbvusOtySy635MJLbbj2hqefdNqmm/T68acfbhx1w8y2ti+//HLtNdbeeL2NW9W6YLcFtuq15VJLLvXSyy9SgqX098cffe6F54856pj11l7HvZFImO8mVeS47LLLbLvttryT/nrdX7t0aWH3KGqj9TfaauPNt9hw88032nyLjTbfarOt1vr1mtRYoZdYqdCNyf5nUHhhSTJxXzKzu0D2TAs18YtP33jnzY5GfZvevTErYvZXfApofpai/yaSrXDAIrN4oLEYbJOLYWbEwWlQGAgUNlRGYqEciQnEudLX3349ePjgk087+eeffprV1nbZFZf12a7vcScd/9yLLzS8TjVo4qPRnn+10uqbb9Rri4DNt9x4iy023mKT9TZaeMGFkthKPiyymmUeTYAY7E6tJfHN5IV/v7D8csv379ufdC3bButssPG6G2664SbLLbVshZLCnpxIlD7EXKriPrNkLa0V78g7771zzpw5Zw0/a8mFl2h01EMtOmY//PTDzFkzN9t40+WWXJYPwUsvtlTf3tv++OOkH3/6yS3NmjPntrtumzNn7mEHH9bKfYCJ6A1HMNXrjc023WzD9TZ4/B9PfPv9d6VMR2h00cRvvZN++H7CRx/03mLr3+y424Jde/IZutVaNll/o332+gtvxJdeeYn+RxqeOzo6zj7v7J1+s9Oom0fP65jbo1u37i3durV2e+aZZ/gzYHt7x5tvvlGl1L21W7eWrjjByox9iEwkk/sCPRZYZ411Nll/k43X3XjjdTfaaJ0NN11/k+WXWpYN5d4O1UgtKNYChrHTJUpR+EqKQesQgJmxUi0zlNwMP2wihKeQBRlrGKtoFQ3kdF1IiSIUiBE8FzrGBAs3kCZCE89dpBK8QOJMB4kUNlA8oQMoTkUJDh8/uekA9bAUzjvRHNYOjbHgcRkFuMkMPIJmCAmKFjj9BG3U2zs65knq0dpdzTwEO/EENUvC1Jg8ysOZYsBgiRl3se9xnzkRyTY7IxqRBZevW5CcmYxn0nLHJZqYh1N6RzFoMzsXvqTcvGXhWuJ4GTPVd4JSVfEIs5pk88r/2ZRKKZAomkVSIk9TLuAG4eFUauSG49swEFlJzj+xkCjB0YKBwAsRSNDI0TZnLVeTDwtGLtbBgUBqzsTFDCOXBQQFkZQRnIhwySDjAT6hCYJU1qjXF194sdOOO+WPe/yhQx3/fOtfYx4ePSu3iTs/JRU/aqiWWzZfY6vj/nJCj5YFvvjmqzPOP+PpF56utdSotOkpcVIJIy43ZjpgFQioIjeC4ywYXKEhUZ3HaYhNFix3z5Fgks2dN/ev11/Tb8d+A3bdbvvddtz+NzseefyR/MAnkzf4Z7Hhccml4ghJbFb3Lt233mzLeO5t3GuLjXv12nCzzTfstfnGZd6w1xaFXGPVX/NhGoO2ObM/+OijDz6c8PU3X3d0NGbMbHvnvRiffvppe0d7vV6P4+Neb+TciLZGLKJFadwdJjOJyZwCTdNmTvvXc0//+NOP/Onsiy+/5CE7Y3Oto0MAABAASURBVOb0iRMnfvjxJx9//PGXX301r6PdzDw7oOYmRmtEm43czcS/ZFKsZsYSoDLMGSn0eH37oosusspKq6y6ysoFVl2VTxir/Wo1YPXVV/tVIL9a7Vc1PkQ0MoFWXm7lTTfgFb/pFpv0gs9LcpXlV+69+Va9Ntps0/U3XXWFVSqrREGyMgReQpIcMXEgHqEQMtjWrbUrP450a+kK8OTs0b1nSsmQoUthxkYam24OC3+8aKAAE8knq6pqpRVWGtCnf5+t+2y75bZ9t9r2j7/53bVX/HXXnXeb1z5v/G3jv5/0vZn4NeOll1+aM3dOr403692rd4+W7q2qrbHqGlv02rKtre3Hn3/i4ytqJqKoqhIBll5iqf7b9O+7Zd++W27bb8u+e+68x8jzLr303IsXWXjRt95+68JLL5oxa4aw8cxEei6MlOs5s7eeqlRTspdeeeUPf/rD6HGj586d+8033+x34P5b99367HPPnvDRBFc27Km1KpbYw5K+/OZLvrQnvvL17GFVov4mSBxWKZqHKocUbTiBczPgS8RDFRXRXc5QwZTdOBxRETbCCRx6iylJo2hicByYhTSU3ayTq4K4CllujggE5YpRpIEQERyfpSgV/XCvXwY24JiBGJlYDIqXAiE+IuKSJ15ATGUgLGuZrMlEk3hlLmwmCmL+v+B4Fj3hHkFgZoVG03GvBOWh4sQzJqpDBU3xAEGiUJD4SAo7aFeMZqaBlcsRSkY+hhnt7NRMKkyogBwEHBfqJiOWnKPcRDBGXZYdPtJKzSBFGqYhTVl8IjWJw2lJ/BVbSnvtvu91F46+6YLx15435rrzR1933ujrzh119VnXXz3i+iuG/23k8L9eccY1lw27+vIhV18WcOUlg0ZePHDkxaePZL7o9MsvDLjs/IGXXTDo8osGXX7hoMsvGnjZhQNHXnj6yAtOu+yigSMvOv2yC0+77ILTgcsvGDgSEcwLB4FcfvHpKI+8aNDIS4ZcCVw85IpLhlx1KbEKEPryiH7tVWdef8WIa68ccd1VZ1539ZnXX33mDVePuG7ECed2b10w5zx37ux4Q3MMUkqVUVd0y0v5sVGNynJySUZLRJ883sV0OTQMhiqLpgkFNJzdCC6mwXZPot+YhUydA3e8FhqmDAMCGZlY5tdX8cBxFx9bP//qs/G338LT7qq/XnHfI/eLL0pVZEkwY5PIQrLKsJXUkRtTZkyZ2jZ16qxp09qmT589bdrsqdPmTJ8xZ8bMebNmz5s9a17bPG9PLZLp/wxcVvb2hHdvu+f2w449fI0N1hp+1hnTps/Ypf9OI8+5tE+vbdtmtt334AN/3n/v9TZe98jjjnzu5eerKuXsjfbcMaceMKujPqu9fXaH1729fZ6ZJUuESOXQRzTqgWuV1Hj3g3f4urXbzrsu0L1HbtCrxJ8i2+bMSrIN192gotMNCjLVtWDPhZZffoXpM2bMiv9iKM7MZKmWXn3tlY6O+oorrNh3637xR4929/ac5+Vlllhmq823bm3p8twLz0WLzPgRTEQgFZFK5MT7j+WzLz+/6767l192+aOPOCrXQ9dxbRaKglSvTXsts8yy/3zmaR7KZM2ONOre0Z7r8xr1ufX6nHm5o9Exr12mWlVLidwct2FvBUmg2SxXwiks61wJU/yblOXPvvDcO+++zX7vtc9er7/9uqcGTpS5BevZiRmZSOhKzDQonCnu8BQMMeKUNpyGeRBcQlNNPSOxlMQ8r2PeW++9ecudt+598D4b9+511bV/nTN77r6/3+fKi67aYO31f/jhh7G3jNlp953W23T94eec8eHEj0gzq5FzbnQEUHX7nI56fHioNxp1s1RLLSaJoy1iOUPQSVVLdefdd2K52Sab8XUrkpLz0cY55tlz5hwoNM1MFvlVxkCFx5AaQosgt91x6yeffvKbXXbbacCO8XFFapZryeqenXuV/Fx8HfKcGw2iuWevrHrnvbfuvOeuP/3+D+ustXa9HX4mgWS4p0228IILb7tt3+8mff/qf15LicAuE8M8FObO4SjXl192ua5Vq9WzOurekTmEKy2/IjvGT4/isOYG8XKjPnv2LG4KIluqRAFJn33x2R333DVz1iwzjTjv7MOPO+LTrz5li3m+kjY67k75OIi/h7Qrz8scJCfJiOLWUMpkmohFW100rAFiMjJ0MC7a47lUE4RHTQgDGp1mhW+yjEw0SSjlsKFGcJl54aCHNJiCh0sxjCgBPJdCwhVqyRhy1FBhRiuUYkcsJQ9meEajoASw0DK3bDh2tlQmIFlmljE8zJo5h50HE6cGIgY9S7lp6446LGylcFMYIQMpHNVzHSfYChfKFAiClYn8LHju3AVG7SZmjo8MtwU3KZupkkxZmdKl4s04XYZJzuwFLPYaxNEvSeJQyTCyJNRS5bgN1JPBTpAJUVUpNFUZxnjBdUDB3AllIhdJJktwzXnYBBgEzODClxluC8J9QomdTmg25WaRuuRQCp8Ch01E5iYHFUUga8qLp1CPC70sySxiQgR4RrOTLj3pFJZmkDhdAeJAQ6CXtehCi541+Mydttspq+PF91648x+3z/Y21TzVInWRScNTR9pklV5H/uHoRbou+tPPPx91wpFvvhu/SrhwQciSJckXMI+lk2XN28zYEOoogNRiO1gdWzGgcRSIUaxZtsrYgVplVku1Fu5rckFMOHrYcPd8ysBTVl5jpRNOPj5VOLcQ5owhL7JG3RsdDUez3uDlqroXZnbuYY6cQHyXHXf58sPPv/74y0svuIS/2Oz3532//exryH8++tQyiy+TMxE850YsPN3YiwhSokgpsZdRZJHKTS++8tJ9D95XVdV3k77ts2Of+x++b88995zwzgffff7NN599/fB9D6664oqJ5FWqw5WieB5JxiEDyik2S7CNK3zLlELRTGZVKiJL2fPIkSPXXW+dNdZcc8211lpr7TXXWXuttdZhWXPNddZYY90111pv7c16bdrePpdILs/17B3cZ9kb3jazjXfHEostHgXxnOTl03xQEc4kcZnAI7XmouTBlZhJjkdcwo/iT8HORxjn65yjnd090sxYQ4e2E7vBuQYPVM7dhTOxEbk98/zsmN1Rn93RmJMXaO15zOFH0bofJ//89rvvGEUna21pxWfGf/bItuH1jo62mTOrlHp06y4cewkq3BqhuI1g5IY3GpYpKte6tXbf90/78Newqqr9+43Xnnz6SauRCYmQqhkFlUynTZvxwMMPDD93xBbbbrXTb3fh/bLyCiufN/zcgccPXGLhJb76+uuLr7h4i75bbbfrjrfefVtHvT22gXgE5yXrjedeev6td95u5Aav4AefeKihhlXGvhGGxMUeKJslGUnCEzG9EPigcfpleMGMuXm0ElhRKIiHI6lzdwxECF2xP7nTKRQAHwAhQDI6TuBCEZ1VaJuX9mEcPhxFLADjUgQiTA4iMkFVEg98506lbcXELMRwSiKhhg7gOJPMQko8MIkpSLOYpSDNOnEVb2VusjqfGcUNDiLhIqDdubSQWhMlIPjFBTXiAYHjmww8KK75K+h8oPImSlM6EYkG/48VbMMXC7kF4tERSGM1VhYvSxAY5lgjJSN8CMJIhrWJ3BObYInTbdWC3RZcbIElFlt4ySUXWXqJhYClllhoqaUXWXaZxZZbfskVV1hypRWWWGXFpVZecdlVVlpm1VWW+dWqy6++2oqrr77yGquvtMavV15zjVXWWHPVtdYAVlnr16ut/WuQVddac5U1Ya652tqrr7rmGqus+evVYkZzjZV//euVf920Zf4VTiBX+vWqy6+26nKrrbzMKsCKS660/BIrLr/ESssuvvyyiy239GLLLLXoMsssusySiyy91ELLLLXw0ksDiy67zmpr9+jeg1MSm1MlJVklZl71ilaVBgg0cULYNNGM3NlpU3N4E0Eheuexlcagfc2ttpAH1VT/ZQ5tZMmcR49HNCbFFqBMSPo6rW3acaed0N7RvsKyK8jt6PhPJpz17Q/fphYz7CRZBcZlRhTj7z8bbr7xRltvtuGWm2y49SbMG229yUZbbrzRVptstOUmG2+xKXD6kNMnT5vK1kV8sZVlNZvTPueo444+4rij7n3ovgUWXKDvtn0vGHHeDVffcNTBR95zyz1P3P/4oBNO4wckS+nm28afc95ZEZmkaYh7buScvcFTymPMmzc3VSkly2WUGMaAlVrSnHlz3373bT4fb9u7T4PHqGi/swvdu3Yjlc++/EymUKb+1tq0mTM+/+LzBXr27Na1K9HCFefbbPLPk6W8cM+FFuixAJti9XDS3KCllliyaklTp03v1tp1heVX5MekCZ98UPcGf1l97Y3Xf/jxx4022Lijvf74k4+/++47xx11bI8uPTN5ON03yXHPHclrdY3VVl9qiaXm1dtffe3f1IJMYrJ4N9Q9U3jOM2fOSKYuLS1VShLiVFlNTh2i2KpKZoVvikXWXE2WUqp1bZnw2YRb7rrFzNZda51vvvt6n4P3HXv7zdPaphuf21ShjqNmYfh05Xqjo6460GH1htd5NEtWIJE2CmLgzpRMlowhBkuVPvh4wpHHHXX0Kcf841//WHLxxXffebfRfx193RXXHrrvQQ/f8/A9t9x91CFHb7ZJL96jI68a+eDDD3bU655FY2IPG84TP0dfeFfV6x31llqttUsrji2Jk0Cois8yNavV0rTp0954+82qqvXbpq8aTkcNJToLSneNhCSTMZJUWWCJ81KZJUZra40/9N1y120rrrjCEYcd0dLaWnWxqksV/ythNNm17JJLs+n/fv21r7/5RpUm/fTjP/711OKLLs67f/acWWedd/aqq66yx267d+vSVVYGvRPDlK1Ll27rrLV2927dXnzxBZLK7DmAUJHcQgsttGDPBT/9/LOZbTMp2MudXs+N/7z1hpmWXHIJymRvaUNVVQfvewifrnbZYefW1ha+jb79wTsXXnrhG2/8Z6P1Nhp66tC1Vl/zgYfu/9P+e9123+2TJv/gyh7t89zIuZ5zwz0HR569jGaq8RQyyWSVVS1VVas8NlYMk4xLcYlB9hLPmrLvYiTOikRHwWEy8yiJuVxNaaAUwF5Qr8USHImzHEgRFQTv9AUNqOI3RJFo0IGzBrhHyoHhkCVH/DDzGDDwIhn/JMEyMi4IJNCZVcgRlsNhOIoA7g2Uhb4ZmuYJXGQq8ol2ouRxE8ba3s5vLZGJmaXEFBB60YjAE4eLNYW0qdCc4eE9JSJIZvpF3qSMPqSmraSEZ3oacagFoFozBF5yolRAZibiWAw3E/9MMgszi1cHeYlB3swKmZxZVAjD6AJLSN1bWvgRpzLxJ9m6Ga2BTaMsAmanfA4RebiDxsrt5tmZjRlddJozeuxUIZtHj/Mousf7reEoYxU+UEOnCbjhrIYOtDMa2ZF7do+P13VvxDnmzyyNnHt275mssoYt1H3hy88buev2u2arP/fmvx5+4aHYBRVLAAAQAElEQVS2jpnRwJq4VUFoDT+NbbZ6r7/svO8SCy41vW3GIUcf+vPUyYlvHbI4D1Tr8dHPaDXB1NkuiQJEGlwF5+aUlAsnugg/o+z0OHFMklLXLl1POf6Ut15+883nX3/zuTfefOE/t4+5bfVVf1Xj8Zo9mhj1RINyBFJMUAqXwqVZ5JBkZkpyMkwWm2S0n6OQRIbZU7ZFei6y2MKLdSkf65dZcpmetR49aj26Vd3YCDyrOCzZh4kZXo2hImgGk2xu++znXnpuxLln8ee4P+75p7/8fm+5ePuff/H5fFLv2aXbQt17LthjwapqkSX+4RUHZobtjBkzp8+aOXNOW9u8NuZ57fHH3pK3UpKFOheAMuriJBVMOQYbmN0pClHpNsWZhZIkaw5WAuYwaOQpU6bOnj176aWWzrTRKhkxzGiLIqPobHiIC4Zkao7wbRDuefbc2bPmzubX1VlzZs+a3dY2q63R6GjkhjeHnAxFRo6NG64jPRZ84cDYqdzIzku/7l7PuXmG63n1lVdrSbWOjvapU6ak2GX17r1Nt+493n6f33Y/5sTww+drb//niaeeWH21Xy2/7PKCxdZa+Gy6poDI28ySpapiNVm9vb7/X/br36f/5Ck/v/rvV+bMnSezyMhj0BfP+e13397vkP0vu/Lyb7//dt111j3ykMPvGn/HycecPHzg8Feefnnc9WP33/vAddZcZ8JHHx53wvHfff+DZyJYVUstXVtfe/v1a2+4doGeC/Tt3beq1Y4+8ajzR57/9Q9fc74SWrLoXxZRmvEsOBZMBRYTfVIM+gaKc543JE8PlakJYMEfPe1UQ4pLUQY26Dk3HwQYPvERalyBBRsUfgB6QYQg1iA9komLCIQKNlcwQopLgsFQucFRwCEQHK5QizRQg/ofoNhOqij/l+zk/r+LMYpuU4TnZpaxpYRAlJQURZBEBgP/xW2arx4H2SBKQkEoRtMTMxD0/3MFP6xCQEMAMJgevoqgIBycIAJHLi+EmjkpuGxRYQoJkJLVWirAqgRI4uwpZU9Zsckxc8tly4B7/KqQefAAgTeyNbKyFwh9NiQyyAoOtXML5ywODHODr/jZ42aC43IPnexF3w0kRB6klzkrgWSZG700FylVmcTc+N3Y46/GLV61WNXKz1xAjXJMlSzVWmu1rrVUS3Ei4DbN8UBQd4VHI4Saw6BdBhF6LDKTsRYmOGgTwraJxewxRaGdiFQQCgDzGCi4VzWb1jb18qtHvvDKi6uutMpFZ1049LQhyy699Mhrrjh50CkvvPpCtgYFRtsNB77oQguvs8Zaa/1qjWWWWgpAk3nppZdaaknGUkssvviSiy+xxOKLL7bYYj169jSOVTNVYhKuzC0trbvtsuvRRx05fMjwkRePHH3djYceeMhCCy7YyI1cr/PZ8bSTBt54zU2Xnnfp0Ycfvesuu+GkVMm2sF+ROIngFZgxva0Fd62t0bmoLxR5oX7y+ScffzZxyrSpEz/7tGfPnqusvLI3EHt2LbLwIttuva3J7nrg7udefaHBL/yttSkzp42+ecxnn3229ea9F1t4CU4B2gDBFlxgQRKfNZu/LsyKKIYQdmZXpk2bWm80+G62yCKL9um9DZsyeMSgi6669KyLzhlz8xi+Pv1mt92//OpL/sS/1ZZb992mn5FDduesuVu8S0Vp7lpowYWWW3ZZS3rn/Xetil220iiPwwIaj6jvv/+uSolarKocu2iszZo954uvv/zsm89nzZtlnKaUzEzGIGVWpcpautZ+nv7TZVde9tGHE3bdYedrLrvqyEOPaGubec6F55x36XlfT/q21qVmCWUzTD3G5CmTx9w89pyLzzvvsvPPu+y8S68Z+c7770nGBwA1h8ficrNAFNZxGaMyzsGev/3t8cccd+6Is/92+dV/u/yanQbswB3ZqDdaUsuWm21x/tnnj772pgvOPv+ow4/aZONNWtk+dpTbDY9AVnPwUWDu3LldunTt2r2rVclqUaHLfpz88/sfT/jymy8//OjDGTOmp1RtuOFGnAx6RjPNEubkxS0L4lySYWrMUjwBoIU3voqfc8E5M9qmc1D5Pnzexef97Ya/vvLGK3V1VC185NEiCy7yu9/s8ewzT59z0blX3XDNmeef+cQ/nhjQb8AqK60y/rab+UVzj132WHet9TJvYlpR4TzKII3s7K+WWnKpxRdf/IMJ78dTVyYEHumQKp8eNt1kk9feeG30LWO//WlSw3zG3JmPPvXYfQ89UKXagD79Ow+JlKq0ff8BB/zlgI3X3+jLL7+84NILjznl+LsfuHej9Te87NyLTz325GtHXrPPXvv8+OOPJ59+0vCzhs2YObORM+fcPXuWZ6taai3dW1q6tbZ0b23t2aW1e2vVWsvlxZjdP/z0oyefefKxfz7O2SNBkmxmWnCDjIsluMYINC7YzWKpHDra5fAwKzWCAwhkcXqRNMmmjRnMwgBR4EziIiFJwRSeuJqASxrnLBENZyZDgrPm04x7URTE2UEFkNDFIpSENwB1wIsmYvAmoILUm0Qxw6vHEcQFXDKC8thP4b/e6EAdfgFjgFjEiFMXKxe0ZJIQw2YGPEIbXPxLQajkUVhMOIcRMWCHMrzSGVTZrcjDQwENFvz4L6SHarxLQkbaQM5xBEQGSjy6uQiLBZqYgcjwW7pHENPiSyzRs+cC8N55792GN1LNeC/w4baqklVmKaUqfFQppcpSxbG0lAyRkFYWM3SVlAxoPrgMCiAkD44k+HAsWXOkyiylcJus4BjKTEqyABODYxXp+aSfJ33w8fv8FPir1X9NdVFnwxdbaJErLh75xz1+36GOf7zy+CMvPDhPc8O8wqMZgZK1pi5br7fNTlvu3LPLAl998+Wjjz9StbYUmVmomkwABF0CFc0P7w4z2ipW6Nj+zmbB8SDZL49LDTottbZ26VLr0pJaWwxo6drSpUoVlvjLjUZzN/6wxx/OHnb27/f4PV8esZWwLR/6Y3OznCdWKc65dd0951w46JWD2ah7fE3oaMycMbNe71hysSVzR6N93ryZs9tmzJrZaNRRtMjXCNoEsGBGeQ5CCH5ou/iKS4464eivvv7yNzvuNvSUwVdddMU5w85abull/nr9dSeffuonn36KGspmdN9N8U8WAxdX/fXqoWcOH3b28GFnnTF4xBA+M6AJIHIZLS/aWEHADmAzfrf7nldecsWVl1x55aXMV4y85PKRl4y84jKQmEEuvPCiqtaKPZY0tZTr8+bO++nnn/glbsmll3JGOHMzY/XS8+nTp0/4eML7H743a84sTjNWVI3cLDUzmTp96gWXX3jmRWeeffHZZ1909pkXnnX9qOvwT/MBCVehLgWmMsxgqkwyoctria1xhKRnhhTQnLlzYRGlqiqCquErLb/Cnr/Z493337n17lu/+uGr2x+4c9g5w6dMmXrw/gfzSYD0TRwxcjSzJBlWzjNLXm5MZ8GhXN7hRx16pGeb+PmnP0/5mUpkKAPYopKWWXrpQw86ZODJp110zgU3XXP9+SPOW32VX+UsjktrS+uO/Xe8/PzLbrj6evb0kP0OQjmaUaumz55xx313nDb09Ek//vCn3/3xuiuvPXf4uauuvMr1o68fOGLI0y8+LZJSJEWqrICRbwkLLpIguMRKwkIRLEBOm5z2U4JgWHHkhiWgIlFgqLE6qEuIQZAqhsORYJQ1EP13wC5Ecw3VolWmTtUmjlYmj+K0ySmZmoxCEBZBrHxxiOV/rvD6XxJ9iF/68AsCcz7gvwlWpE6McF8Cutl8teCJwmH8Twg+g8AMYEsl1JHHalaQaK4CA5nP0f8OPIZIRHL4HJqmGjYBXHBDGotkFpxmbmHncNQ5sA1WUrK59bn3PXTvsLOGM7795pvsjVfeeunm+0fffP+omx8YdfODo4FbHxp960Njbnlo9C0Pj7n1odG3PQg59pbgjLn5wVG3AA+E/rj7bhp7740B99w49p4bx91z4/i7b7z57pvG3VPg3pjH3ztq3L03jgfuGzX+vtHj7h09/t5R49G896bxATfeHPybbr5/zC0PjLn1wTG3PUhEooy5+WECjSaZApEY0lseRBRMlMffPXrW7JlJ9tBDDw8bMfyKv14x6efvU0tFoYAxFB0w9o470GlOCga3IMcHyoUaF9CJwpSYHIWmzFTcKMYvmAXVebHfBu2QFiNVXVq++eHb8y+/4OY7b+1aax126hA+jh/w532vvuyqdddc56mn/3Hq0NPuvP8uHvLGc8WUUuL3m2tGXj32xrFjbuqEsTeNGXfT2HE3jh07KmDMTaNHjxrDfNzRxyyy8MJisKGEJknmbD/+8OMGG2zQr0+/DdbfoGf37p9M/OTFV198+fWXX/rPyy+98coLr7/04r9f/PTziXxh69O7z6qrrDrx04mcBFGmi+yFH8EwHriTfpjUrWv3nj16GunxWIpD6P985l/Hnnr84ccd8Z833/hp8s+LLrJoj+4LZN5nORFf2Y454pheG/Wa8NFHpww+lQLPOP+MA48+JP6LrWusdeShRyzUcyGPL0X4lzd8/fU3lOz7H75/ly9CBgo44fmB78133uQPa2utuRafZnccsP3Ak06fOaPtymuuvOWOW5dddrkLzrngV6v96qprr5w5a+Yff/enJRdfMjcamY/VWR7ZSFRDVuZ0dblllyP9b779xvhRUx55Ijb3ygyoVRM//4xvlYstthj7hhQTkE8+mzjkrKEHH3nwy/9+Rfy6FsfGxD+zVKValxofrN94/40jjjvyiX88vsn6mxx3xPEbrb3hkJOH8JxdsGfP8beNP+bkY15/57Uu3VprVcLOyc196rSpd9979xVXj7zimiuuuPrKG0fd8OFHE4SY67+gMqxzKFa2KNfznLlzaNq2vbddc401qfTd995hQ196/aWXXn/lxX+/9PzLLzz/4vNff/vN8sstv83W29Q7OtpmzcTYw10cFIo2hbu2WbNmtrUtuOACXbp2wTMsgBIfePTBw4476uKRl7311lv8nWHBngssu/SyOTfKuaA3GKvgzMJVWQyEK4o0pZRaWmt333f3S/9+hbh8Hbrm2r9ecsUlZ5w74riTj71u1HUzZ8/k0dRaaz3ysCN/s9tvnvznk+ddfP6jjz+66867nnjsCdOmT73y2qtWW2W1/fbet7Iae0jeMiufOK0MwVlwgQU5/99N+p59N5kKkJ/zMXHhxfbfe//FFln8b6OuO/SEww88+qBDjj100IiBX3z1xW933WOnATvmjqyogexknGo+rTUaEyZMuPyqyz79dOI+f/rLZeddvOl6G/vcxnqrrzPitOEXjjh/uWWW40+FfOYrx4cjRApuVvHTw5V/u/qUIaeeMPDE4045/piTjj3suCMffPShZFbvaDzw4AOnDT7tlEGn3PfQ/QbLFM8dyQTBTNqRA7ngDs8CIyHqAwIRSvBBUVUssSJUc2ANAygkCZVVaDYl2CqkcQlz5RMPnQAAEABJREFU/CMQpDHEAA0lNW0RBjTrg2/c0DTVHDVWzEGksDWFJhzATBZcmcVaBIEoKSzRwNg9hMjwqzKCDtdWRijzyxrHh+YER7GGyyC4QFW8Fny+UDQWbwhkDFkSuJkJxGQJnyWyYphZ4p+JB0KJhJtkYiBRqUmkZEkKhox/AA4gTYxYzVGiKgtOwZP4yuOWzayIQtGN2SVbfPHFB/Trb2Y333Yzt8Cg4QMHnTF4yJlDBp81eOjZQ4eeEzDk3KFDzx027Nxhw88dPuzcM4adNxwYXsgzzhs2HPLcYWecO3z4fDjj3DOGn4vaGcPPO+OM84cNPz/wMwIfAQ4TkyDPGwE+7Nzhw84dNvSc4cPOGTb07GE81gafNWTQWUNOP3PwKWecfvzpJ/zz2X/WquqAffZrNBpOx/jp0rXowosNGzScz47z8rwnX3n89sdu6Ujt5Yti6VyVqKhHa88BW2y/4hIrJk9vvftWrTWlSvDNZFQuVhn/FHecFFgh6aAY4PFEggrF0rBQobVycetjZTFqxs8ZXXp0CejemloidDY0rN7g7s10easttt7nT/tuvvHmuaPR6YMHLgHY7ypVtapGhQG1WgvA875WtSBAQ7wxcsObMHXqtPgGssQS7fWO+x97YN8j9/vLIX/56JMPnYw6oSQeU6TGGmzJ4n+K9vNb7rh1yuQpB/7lwBGDRqy0zIpdq9Z9/7Tv5Rdc3mfrPhMnTuTFwQPK8eWZITJ0RQZmJn/wgQfHjR03ZtzYsePHjhk37r0P3o9GiBEGKmaKWoVNMmYDWWHFFTfZbLNem/XaFOi12aYBmzLD2WSzTTfadJMNNt6Qr42plY1RNI0D6po1ezYf+fDfvUd38cGI8PgXDGW67v7G22+ePmzgUSce9c5771jsDKZIzQhMshJ/xhozbsy1N173txuv/dtN115707X3PXC/OebYoxlhChbtafrG/XwIBu/DzCabFLebnKOQXJU9/dwz9Uad3wH51ax0SLneOPLQw5dbbvmb77jl0OMO4wD/8OOkwScP3OdP+3Rt6Yo10PQcfqUs+f9AtK5JZm2y4cY9e3TnY9L0mdOtSoSOzwAgVVVX/aWXX1xj9TVWXG5FXLz15lt33nvXXffdfc+Dd9/z0D13P3DPnffeed+D9733wXsLLbAAn6+ef/45vrJO+OiD04edPuTMYZ98/PFuO+567OHHLrf4Mvv98S9XXXwFv+v985mnuMenz5ohGeCRlxikR68UzPnXfJrdEMNFm7EBlfGPAiju/8fYf8BZUSwN3HDVnN0lBwFBENM1J5QoUcw5JwxgzgFRJEiUjKiggggoQQkiSckihmsOgDnLVcxZJLO7Z7q+f/WcRX3e7/393qKmu3JVV/fMmXP2+jyWaU1dXHHBgHDG5Zhx0akwoFF1MYRbVFwugjY6xuScX5mTeBZYzoZGiL4upBZ1mzg4ga/EOZPIP0H1nxyfLf9kVf+l/acKWvVvLVT0pQjQtxSJcMqc9EkiJJThehHVaCAOSHBWQCSTMnLe5P+AIvZY7AVbxWmk3XyIJUw0XwjD0hk1RlGJkzhUNJA0WCoKj6WoVLVIn33h2T4D+46fNPHhRyb99tuvyD/64sNFzz/99Mp5C5+bDy5+fsGi5xcsfmHB0heeXpzhiwshlrywcMkLTy95YRG4yOVPRSGSp5e6KtM+vfRFJ1wF8eLTS91lYRRiv2Dxi4yge2EDLnr+qSWOJH2KMha9gPYpzMi12CMsXOLjoiUvPr0YfCHaPLdg4fMLlr20ZHvZ9pwkq956+9Epk+8dfV+/Qf3KQl6SnEliNCrrkiYqfB4Kg3GARBLl0WXQIrE5qomIqIrQYPbQnE0UyALIDlB1M3XAPT4mkCBTTTQpSn754+exEx88v/P502c/HtJ00rhHzjnjnKKkqKSo0pFtOix5askpJ57CS3bPvj0HjxpSVFIs8REz6r57Zs1+Yu68eQvmz3/qqQXg/Kcg5y9YsOCp+fOfXrAAhF/w1ILp0x9fvnx5WWkpVWZoJpyQJYsXX3vjdZddfXmnzp3O63z+eZ0vOK/L+eddev75l11w/mU+drqsU6crLux0+UVX33Rttx63L126TESD8OOR8XwR+iEiSbJx86YffvqhVs0aO9XeSVRzuZwqzdDff//jg4/ef/e9NRs2/MXfRqpXr15UlDPexWN23Hdr1HjenHmHH9b007WfP/bk42MfGffCK8/Xq1tv6KChHdt3UDpFfBHlzOZDy+Yt9tlrn3XfrZsxb+afWzbQN1qRFOeeWrLwpVdfItp5Z51j+bR6lepXdL7sxWdfePPVN998+fV5T8w96cST3l7z1ozZM9q2bnvCsSdSeUr5fIDxkZmnHP6M6odevCn+py32adPmTeRkH5WLAhCpkDFJ9IMPPqxUuQqPcokWmvAIVr6lfPTJx2+vWb1xy2YXJJao5NAlTLbmg3e69b7tossu/u8rL+7VeM9B/e7iIV5SVFKjSo0unTo/NHrcvv/Z57U3X73wsotnL5gtJaKJUouI7NKgYZ+effg6PW3itMcmTRs7emzbI9p4naJKU8QvzDJji/UYaudty+bNk6dOvuFmPneuufjSSy66vPOFV17su3llpwuu6HT+5Z0uuPyiCy+/+OIrOne5qsuNXW/q0afnN999lyRUTAghdhY90WT9hr/41sdXiCSXUwCdAPrLr7+8/9H7X3+z7q+/NnBu69beqXKlEjZCMHBn6vBJBF5E3DOOrE9V+Kea040bN4ybOD4fykqKizq0ac8f2UbffV/b1u2+WLt21OhRy55ZZtia7NZw97uHjHzlxVeeWfrM26+//dAD4w7Yf/+xD4/78cfv77j1dv/PJMoC51JSCYHPZVJ7KhEhTeVKlatWqrp1y5bycv4YwvkFTYV+WSJ6ximnjx55H38ie3P1m8ueW/bCyy9geftNtz78wMPVKlfFSjFSKZKiXFKED93hR8rrrrx22VNL7hl+d/y/0Cj8qTCkgb+/dTr7gqXzl0wcO75a1UpFSVKJA5rQtFySsNKNTy95+tFpjzz22LRp06c8NuuxWXNnfr72i1xSoqpbtmxZD/y5fuumzSIIKi7fEATioGyyiEqsXgqnRFmKy5U3HDdwNSJQBFtRdZJL8UBiLkkgeNb5wTdVFXGhiv9jjWhNhcxRIxmgU2VIsBJRvJUpMWUSv0Tdg9Wq5hJlxahczgXLSMGJiOBJDpWQqCGlocaT14Q701mv0s3gFVsRBChFTOITAWNRnj0kIKGSKKHFSZLkEmdURBJAiaEqohHEU3livlBJzsMpBt4xZrcQFVWRGILIoErCP1ERLkYVRcuRJTASdKYe0WlqUvSqiWgQwNzURYKJUjsBEYOKRBNCK4zEAbVgm7PI3XH77c2aNv3x5x/nLZw3dda0KbOmTpnpOHnmFHBKHCfPnDxlxhRw6szJmXDqzGnglJlTp86c4i6zpkydNRWcMmvK5CemTp41FZepbjx18gx3mYx85uQpM6dMnjGF8dEZCB+dDD1r6hTHKQinzJoybfa0aXOmPz53+oz5M598as5Lr71cuq30jptvP7JtewnGOthqHoz8KNa4/q79e/c77dTTykPpi6ufm7N8VsiVa074zYoWeMdFa1Wv03DnhkmS47ebhDORsKPcsq70y/sgogINOsWRMEmCOHh3OEHKMYDlxZvDG2i3f6BAiibKH9wWLHyqa49bb+19a7c7u3btdevIMaPi/9MqDFK6S2zQT1x5sLyZRyGY/rVp09PLFy5ZsXjxiiVLVixZ+twyHgXLn1++/LnljMueh1366huvbNiwge3lU4a18zD5/c/f8uXl3//8Q1KcfP/T9y++/OKLL73414a/FGB1wlLIKYkok1lcU6RVtV6del0uuGTxvEVD+w/Zc9c9VIXbIUmkXet248eOnz1r9u6N9/DqaHIQ0uEdF84toGI6fuxDS55etPSpxUvmL1729JJjjzmWbGRRoUUCBMvzJAyECFGiwhfNe8bc27xN8yatDju85WGHMbZqdnirZs3AI5q3aN2iZdsWLdu0mjZ9WnFJcS7nt1OSU02SLds2r/3qK7I/OXdOLpco0SXxN27TkHoL+bmTbxEffPzR1m1b4y6pJInm2CltUH+XoXcNfYrvHXOeXjR3Ibh47sLFcxctmrf4qbkLu91yawznQZTKRRhVRJQ1C0A0UBQQzUmucnFRlZKiKkVFlYvLQ/nC5Yv4c1k+TRvU2fmwQw4jCi6ay/3w80+bNm3+86/1b656q1q1qvNnzbumy1V1qteicSGXWrElOSWL8UkhyITzgKO4TLJRWZpZdV5pdqqzZeuW0vLt/IKaK1bNqSSiiWzfvr3/kIEDhg68o0+Pbj1v69brtm49ut3So+vNd9x8U/ebbu5x0829brm5V9dbetxyY/dbegzo1Xtg719/+/mnH396a9XbmzZt6nrDLQ/cff+ejfbg9EtqzQ5pPmbkmEsv6nL6qafXql2TVouon/24eK9P2XNRP0FmwqaiiCdDKUewNVeaKqQ6r9TIvkPTSTNmb6kTJoCpIhIllBib6aYuiULFFylm/0Y3cEmO+1kTBZwT9xFTn1UI5uUmrsHAhCEy9NgyUPcV5CIeBMtIM/8DVWEUELeMsxQARgtal2gGTmaXUgULjRPOlEO9IjxrTE0B0awiF2Uu2FgFRSP/phGqKuMOVHVW1ZOwWlVnc4QSJPSYTloO2h08m7CNTmPGLeMSzYxFVBGSTo1B8KVHaWopb1S//PZLmi+vWlS1TrW6darXq111p5pVataoUqtGldo1q9SOI5KdqlepVYE1q1d2ukblWiB0zUhA16hcu6ZjLSQgbPXKNWs41qpRqVatqKpVZacalWrWrAzWLqgq145mHq1G5VrVKteKLFlqVqvsWL1yjeqVXZuNNSIdI9SKpdamMOqsW31n6q9VtXaRFHPPfP3NuvXr//St4CzQAckJLTEB4ibREHi1AMHbgdAj3uYkgooKHUoYBX1izgtuhILBxnfdMIFEzn4Ik+EUBEj0mx++admh1cARd33zw3f773PAk4/PPuf0s7m9l6xc9t4n75eVl9epVnvC6PFdr++aaDJh4sP33DeSIKveeXvM+PtHPXjv3fePGjFmJE8c8O7Ro+6+/95RD9x77/338seBux+45+4xd9993yj+FMAXr9LSMqUwkZiYFQTeQWtUrVG7+k61a9SpWaN2rZq1a9faaacMa9epU6tO7Zo71apRu2b1WtWrVa9atVqlypX98WSWI44RwWBzOX33/Xe3l26rW6dug/oNhIOTaDzMdtwxxzz60KQpE6YceuihRUmODtMHK4BIfL8cfvfw9z54v0a16gcfcFCbVq3r1anLh1afAX1eevWVEAK28eJdNhRr0fBBw4uKimfOmdnlmi4TH580bda0a266umf/3r+v//M/e+x91uln5cvKLeWvZrkaVWvuu+feezTao1rl6mIIRcwAABAASURBVNu2b+vZt1fNGrVuue6WykWVfvv9t1Xvvf3uJ+/8tXl9CIF1BAcJeeOTwyhLfDdFhG2Li2SVcMLHx1ffrlv3w7pq1artv/8BIdDIgC0r4019yIAhkydObte2HTXjaO4hSU7f+/D9k8485dFpk3n6t252xNyZc44+8uhPv/hswfKF675fx8+mHdseNW3StDYt2v65/s/+QwYsWvI0iYStUqlZvcax7Y8+79Rzzjn1bPD0E07ZfbfdiWwSK9RAIvJEBtIg8ENifha1ckmlGtVqVOevOrXq8DW47k516/H3uHp1d667c/26O9erU6fuTmxx7Ro1a9eqUatmtVpFuSJ35DVR1O98OqC0JHz73Td/bfjr4IMPtmCaiCTKDoulXS685NXnXn5g9AN77f0fZKwlSdhk5QgoRQhnwUxEIkN9sTYLhPVBAAI99+LzP/z0faWSkltv6LpwztO3XHvTdZdds+CJeb1u77l1+3b+ELRl2xa1RNLAAditwa4tDm7WuEHjSkWVXnrlpZUvrOzQruO5Z52/ddu2n//46ctv1v70+09st6WmZmyQOagmSVERX5Pol2nOa48VUYhYEOhTTzzpjRdfe/Plt+Y9Mf+ZRSs+WPXBXf0GcXcESfnlvrhSyRmnnXFxp0t2bdRYUg3ldvghTe8Zfm/D+o3+/HP9T7///NP6X37c8MsP63/6/tfvf/j5RxJv3LJ53XffNm/RYtGChfeOvE8S4ZCw3pDmgaOPPrrTeRdeeMFFF3W6uPMlnS/tfOkJxx03Ysiwn9b98NPXPwwZOERi20xVckUMqtQoQqXmhAq8Cm1MfMyMYZEK6xbUrN4bDwWyHSI+Ywmt7I/FQFEIKxG8VcKWuWUqdDwGR6IFgoS48ZIVH2yYIxDAjLdYNHxkw4WoCK5zGRLSUkyBCUoK9UNkwn5AiIqjOKgxOm9OoPRgeKqGbK0ageDGTiSiKvHtR1VxFM2JJqo5VR6RiSQ5TTiQ0TrrjBtZooKFYKM5xuiZKCASaSmAKrxGgBBVcxSWFiSjEzP16CqKj9Muz+hgCFUT30FFpKqCv9ENMW+SuQveTBJyAhvELJ8P3IlLFy3t0/POE449gePdvnX7di3btmnR5ogWRzg2P6J1i9Zgq+ZHtGzWMsMWTfmrhGPLpq1aNG3ZsmmrlofDtmh1uNOtDm/RsmlzLFs0a9mqaasjmrVqhWNThGhbuBy6WYsW2ICHt2hxeEuELd0My1ZHNG95RIsj2rRs07Ft+wvPuWDm5Bk9bu2Rk2Kh/zQyp8LC/MSFhg12HTlk5FEdjypP0pffe3nRfxduy2/nMUmbWLIf/vLSTVs2S6I1alYX1py4K5sgDpgIx0PYIBV1CRcbIzQ2QPqeIk64Z+mUejNNg//v6o2uBqtSqVJJUfHHn3w8e97sOQvmPPnU3DlPzXv+hefKt5dWKioRwvtpIpBgLyZKMDgYk19+++niKy7pcv1lna+79JJrO1981SUXXeU/TsXfpy666MpLLrmqS88Bvb/431ocqZJIGzdt/GP9H6mlo8eOXr9x/YnHnjDqrhH3DB21R+M9CZxQuC8MUshEgQgkgikHXw8++NChg4bvv+9+m7du/nPT+j+3rPf/61ZbN/216S9+sdpztz03b9uyftNfjRo1mjFtRu+efSpVqqIcO6olvVqrZs3bNW/Trlnb9i3aHtX6yEb1G4qocJzMFCLRIJIGvl5RoFlqxbnimtVrJprwqNy+bftWv0q3wWzdum3r1opr29btWwNrMxFVzSk7pUX654a/vvjyC8KuePYZ/lyj7JqxA7QRU/Joi+YtJ41/ZN6sOc2aNndtkkgiBDALbErLZs2P63jccUced1yHY4878tjjjjq2dasjgqU1alRv1qxZUpyAe+65Z5ODm+yyc30VkUQ5A8yORinCkvJpOm/hguNOOe64044/9rTj253Q/sCWh3S+5tIvv15brUr1rjd2rV2zllkIGqbNeqzz5V02bNpYZ6e6PPZ/+fXXtDzNaS4EK7f8Qc0OOeO8M7eVbhe2JOW4qXk/qdYTUbN6VhEmFU00V1SUp42pW0lqIR8s8HQ0HizNDm/aqhl3WfPmhzdr1qRps8Ob7rPP3vxV0NQOPeTQpocedvghTVhUkwMPPXj/A/feY+/KlSvv1rgxf2H74O33hvQbVLNaDUlEilVyiSY5Pk3G3D36rj4D+RTm7mjd8oi999q7uCjHliamVKkWTCVCopyEDC1hDRLLTZCYYaOCk0W5JOLGapZYghhVhomJetSEyN4AaFzNsNmBGGQ0BCjB3EcJIHzMu8p8QMjkUqYCBlU2EbWLvSh1yJTGQrxAtJmArSCGW2Y8ppHwglHY/6nq376cQowzmwpHnHIIYXcEdYPIxIFDi15oDRMqMtCivwtCugNR76AhMta8ZrjCZEJEd8+iOOUXNyGTcruL+Q2jHA0Wb+wRJUoMpVhEd5YVkHDYeEXAKpFct2vvGNbznmE9Rg29456h3RnvHtT97kE9Rg264+5Bd4wcfPuIQbePuOs2cPhdtw0feNuwu7oNYxxw27ABtw0d0G1of/DWYZEY0u+2of1vjRKE4K1DB3ZDNQybft2G9e06BG2/rkMdb2Uc0r/r4H63DOl7i4/9bhncvyuSIf3iWKBvHtL3psH9bh7c/+Yh/W8ZMqAr8YcN7DZiIPXcPmJw9+FDuo8ccseIwT1HDnG8u13LjiwtDSkQuE+FE0kHYgNjQziRkfENoidM3iYzjGiLox9ANN5277OLXMs2++FWxZ42w8aGY6YEARPhJPleV6lUZa+9/nNMx2P63tFn3vQ5HVt3yG8v/3rdusuvu2LcxHEbN2wI5Wm1kqq9u/Xq273Phed0uuGaG5Ds9599+Bv0aSedetpJp51x0ulnnHza6aecfsapp595qo+nnnb6aaedfvqpZ5xx+plnnH7GGaed2axps+KiYqqjcs4FJaVpuLjTRe+9sebdN9Ywvr/qvXfeWPPaf199/tnnV65Y+cKzL7z+8utI3nvj3ffeeOfd1955/fnXLul0ccjnicBKWUng3mMSmbtgruaSPXbfs0H9BvSGdy5Vlih77bnXqSeddu5Z5zRu1Lh69erbt5WmIYiycDpm2/hlaPCACY9OOOSAAx+4Z8zzS1euXLxi2YKlpx5/8tqv1vbq1/vLr76M7TP2yPJWti1/0jHH33bDrfV3rv/Km6/e0b/nLb26zn56zqYtG3kt7nlbj5wUhTzfyoQx8KvX9nyatxDC4zMe/+iTj7pc1LlJkyYLFi047fzTzr3o7FPPPvW0c0+bs3Du9rJt3pY0YApu2rjRTKtVrW7UyOpMAZ9FWONzzz9bns/v3nj3/ffZFwd2OkmUr5F8aTnx2OMvOqdTg53qB57LphKBDlWrUvXggw4+7eRT7xt+z7JFz+y9+97lpfkZT8y88oarFi1bTJZ8afl+e+43c8qMi8+76MxTzjjhmBOoWdgk4WklxvO9LASQ5pULdy+hXcGtibNgFE+oOLCQDGH4m0z/3gPYwfffWL3mjVXvvrXm7dfeeun5l5575vnnVqz87/MvvvXqW++8ufrdN9e8+9rqNa+veuGZ5/fbc9+QBuFIG4V7dE2STds2r353NStt26ZtyKcipl6BkniXBg2aH9bsgH323blePT6TNm7exG+9wu/YGBHGA+woR+FghK6COJtfqvrW6re3btu89557d+/aPZfm0u35/LbyJE3OO/O8poc1/eTzjz9f+7lJavmQlkv59kD36Maff/45e+7sbdu2jRw84peffx44fOCRJ3bscOyRrTq06nr7LZ988QkroHVgSNPysrLS8nLOf1FJkWdlMcYiE0oKZj/9+svi5UvmL5z/2Wcfb9688edfflr5wnNznpo7d9G8OYvmP7lo7lNLn97/oAOPPrrj5s2bLKUSS8vs++9/bNam+WFtDj+sdbPDWh9+WJumTds2b9quRdP2zQ9v06xZ62ZNWzdrdWTrjicc3bV711wRZ56mkFRNpF+f/o88/OikhyZNGjeRv549eO+YM089s3RrGevSwItHkWEU25ywDBWJjxGJRGT8kS3CfcYAaiKqhHc3aCT4q0URdytth2dDUICwjCEqIP6JeMASJieKGQgLRsKVSiCBiFrxDNmAjUu5XCt0F8k/0BWRTZSOW/DjJaIa5cQ0rwYBRcagREDKjyZukCXFRRN1iOvGQ+hqkfJ3KlBymitWvlxpzrRIrNgUzInkRHMKShGjWIJcLSfxFUewLBgkWiDcWNzY7RUCuSfkiwGYmOVMcm5sbuAs0XiN8W9LOfON0ZQXPkkkyVmSkyQRVRXRxIvgxo2tMy/fjH11D7TmAjUeHXk/4UVWdPsttz/x+BPxDwILF89btGTekmVzly6bt2TJgqVL5i9Z7AixFDl/R10yf+kSJGhB6HmLXT6XcfHSeUuXRHYJ7NzFi+YtXDRv0WLMnF20ZO5Sl8OCc5e45dwlS6MKx6XzoMHFS+YuWjpn4YJZ8x9+YPxxHY9VSYIF9ZWpcPAkqEYiHxo1aDT2gXHHHHXMtrBtxZvPPL/q2a35LWZBVPIh/8Hn73378zc0p1Xzlry2CpusXMQAVVWSyNENwoHiFrhqjsGMwyPkEk6nGJb0T4TYQoJ82q5Nu57de/a+vWefO+7s27Nfv179+TvbgDsHDOw78ILzOiXC9tBljxr8Y0gAYjTYeZf2rdsd3f6oo9p37Ni+I2OTQ5tIotWqVT2y/ZFHdzzq6COPPurIjkd1OLJl85a1atWgEKGGJPn1j99+/fW3JMn9sf73hyaNP/iAg2++9uZbru+6R+M9RBEXJRV7L4kqOy+UScIYgJWY/fHHH63bt2595BE8tVq1b9WybcuWbVq2bNuihRMtWrVt1ar9EW2PanvymacMGNR/e9l289q5QA9leeNjLpSb5VkKSHDze6HQUlIqp8+bpcJaxt77wPj7xz18/7jxD4yb+MD4CY4PPXz/Qw8/MP7h+8ePf2Dc+PsfGjd67HFHHRP44JQgVErXinNr3lnz1/r1uzXarXKlyn0H9P3f12sTbj2lHC4fG9Stf1SbDiccdXzdWnUkkNQo0Szul8nvf/z5+Zeff772s8/Wfvb52s8/++LzxcuXXnH1ZQMGDfj6h2/W/fjN199/fdIpJ0+dNPnUU07V2Cv2WxIRp7nrfE0W0p9//uGNt19/c/Wbq959+8NPPvjl95+NbzUHHTziriEXnX9RyJskuRXPreh2R7fatWvfeXvPOdOfbN+6fXlZGe8S//vuq6RYP1/7xa+//5YUFZWUVKJZfLSyJ7RSCAQvGXjfjJNiVra9dOOGjZWKK/H9J6TB+PQLJoypVK9Sbem8xUvnLlm2YPnyhc8sX7L8meUr7r///l0a7HLQAQctfmrxi8+88MKy555f/Nxzi1c+u2jlnMef3LnOzvvts9+lF3f+9ptvnn1h5fOvvgA+9+oLL7z2Ivhkmk7VAAAQAElEQVTcy8/zs+NKPpyfW/nLL7/0uL37ySeeVLlKJWqKpcUBRthPaDovwgaJF6rCOhAy8SWoQKiJKu8LhtStfMIMxIVPIgN4GGXigEVGud5XD4dddKZD2EbS578vbEB4ES8BuwIRg4hD9OK2xoioIpQkgItJHiBFaLirRdhyAdzQDVzrdCEa9i6NEsWsAl0oBJEIGUcpsXriRilp4d2LiXhRSFnYZaSYm2TOGu1inoKyYqoI5+0ryDADC4xkAbKobhzQGaHF6zMf4iIpwkwiMPGphAaZ+HYF46S5X9D/7LZ3w3qNwEb1GjXaebdG9Xdr3GC3xvUb7+rjbj422H23XXZr3GB3cLc4Nq6/+671Gzeuv9uuGNfffbcGu+0WCSSNd9l9V7dx99122aNxg90aE6r+bgWbBoQCd9u9we7gbg32wGb3hns47rLHHrtEtsEeu0M33HOPhnvt2WivvRr/Z89d96rAPfdotMfuEXFs3CDGz1I0aEyQnXkzpj1mxtroCB+b3EvCwrlUOKneEW5EdoeeiCL2lkgGBo87TPRiLmDh8GCKbzQyU3VCPIZEQOJMvTp1x4y895EHJ3W7/tZGOzcM5ZQiylMmSRRUzh+HTPiDzGWdOg/vP6xqcRUegKefctrUSVOmTJz8yKRHH5kITn7UiUcmTZg0ccLESQ+Dk7LxkYmTpj069YZrr6/E88UKq6CyYKlKUqmoUqWi4h9//GHRkoUPjLt/8PAh/Qf373dXv4FDBgwfNWzCow8/9+Jzf/21vmrlylVLKhcJPw75gv0mYDVqPHP/981XS1csq1G9esd2HSqVlBBZRFRRs0ClsWJSXFRcv179vzZsKI1/W2NNSXGy6p23l6xYUrVKNf5a1enMTlWkUtnGbQfvfeDIQcOPPvKoDz754OklT+dKWD7hHDmCkrdbr+9676BR3a7vevnFl1112ZUNGjQQkWM6HHXy8SflS/OWGh+9gay8tYiQaO1XX86eN3uv3fa85aau73/w3n0P3rNr410H9BrQu1uvSpUrDb9n2Op3VnFrcMipMy0P33/3fRrShg124XZCwsYHbxor1Q2b/1r2zPIQAm/GVapU80UmQC6X5Ngq5RMhTYUXLVrgiBvFhD0a7/7gqPsn3T/x4nMv1DLLl5YHTosqO1GUy1EpNfPtumbVmvcOvvv2G2+tWlLF8sGzSwTjY1lYFIiQoCrua1DoiSJKkT7DOlUgMchpUlJUktOijz/+aMYTM0feO7L/oAG9+/fp079P/0H9R4waMXnq5FdefWXb1m0lSUmxFqUp7SNEDMSsVlSp6Kt1/3v51Vf22n3Ppk0Oz5fH4mNfxD/Wi4zP+7zxp7KiSiXr1//1x59/4hdX78X6So0XUVVhwV4YFzdHMBUkqmk+//PPP+XzaZsWrWtX30nSIGxcEEsDB+aA/Q5ILXzx5ecqyvIthJBymYXw6huvvPDfFy69qDMfbNNmTHti3hOtWra6s2fvC8+/cMXzz45+8L7f//hdvZRAui1bt27evKlWzZolueK0HO/YO9M4yQcffXR7rzuuuv6qK6+76oprrwAhYB1vvObqG6+58sarr7jmysuvvuLBh8bGwvGzSiXFxx59zInHnXTyCSedcuIpfJc+7eTTGE896ZRTTjrl5BNPPuXkU5o2PVwSKS0vpXz2DGTVQlXByjaXlnI3bCwt31xWvrk8vzVvFJYGihN6JKSIDVL65h6JJCyHOBTgiIw40SrOUDF8dPQAcIHZnbAXZt4vo1fFgIgOYOM+5gHwcToGxEqF5CjcBNbMB5TBjK6Kwgqx8XLScDUeDNGaT49sdil2RngQZ3U/hUBEIEbU4kJBSCzCiGRxKE8IAwp5ok0hntjaH75485PX3gA/jeMnr772yauvfvLKa+DHL7/+0SuvffTKqx87vuZjlHz86uufvgr7+sevvvbRq69//Mrrn7z6xievMr728StvfEyEV5z99FWnnX35tU/AV9zLzZx447NXwTc/e+3Nz159nfHz1990fO2tz5GAr77x+etvfZ4J33jjs9ff+PSNn/78kSWwk8oSoEDxVbI8VV+1sF5aZ5xISONlzvIhLUvLS8sZA/dcamkaAg8mWpYGtIFHRIrU3I9bJnWCoD75TUQcR0LG+1DJAFrQJFVNnYUWJwy55EVTtxcfTagwqPHySrpggeB5CxnGUyqGjbEaqgdZRUDka5FQnjaq32jc/Q/ya9/G7RsWv/TUolefXvvzl+t+/erVD16a9/zcPzf9vvcee518wilpWeBIKokIJuSME+EiegZkyM0vg1dyYGOel5QFM5dikS8vb96s5Y3X38gn3a0333rrTbfecsMtN113003X3Hj91dcde9SxalgSgbuCYLTM8LLytF2LNuNGjZ02fupjD099/OFp0yc81uf2O3Oa7L7rnpMfmvz4hMenT3j88QmPPTbh8WEDhu2z594iQVHn9Icff/juhx9atmi18871Fy9b/P5HH4RULLWcaJHmkiQnSaKqoqqUqsqoygBjoo78BNOsebPmzZu3aN68WdPmhx/e9PDDDj/s0MMPO6TJIYc6HN70sL333Xtr6Zat27eKiqoSEX/B32+REDfXjD6aAHRHaBq9ghHRzCVJfvn9l8qVK7Vq1apF8xYtWrRswZ8tW7Ro2oKcTZs2a3bYYYc1bXZ4s2bNqAVd5WpV12/4y0zJkPDDWU6eXrKwarUqN1xzfYe2HX7+5efRD47ZuGWTJknMICSBYO3+aOVMWlZKHEXzabp46aIbbr3huluuA6+95frrbrn+nvvu2bJ9G7+o3tzt5lu6d7359q43Qtx+y8zZM0ViQA9CBBDWkUpaNGvRv1e//j369uvRt9sN3XZrtHsieukll15z5dWcOhbOB/TDj04oy5dd2eWKm66+sV3z1oP73LXvf/Zla8ZOGvfrht8XLl3Ek6nhLrsUlxQTmsbhJawzxNWaWaB9AqhILpf7/Msv/trwV7269fgblKvwQQeacXfw4295abp923b+6LfsmeWPTH501uwn1v+1/seffnx44vjHZz7+4n9f5M2qrKw8LU3Lt5dzNkI+5NNwy+1d+XvpRVdcfPHlF19y+SUXX3bxRZdfdMmVF3e5qnPnK7tcelWXzld25k9zD018aOPGTabk8w4Yg7fFWc6xvxZAmnKUjOJYiWtZjJoT5koztBhD/2t0vnC5nXCexCHmciK7Ml1GEx+0f4sKKtxiTjcIGVVhSDEY7fBCCe322App3Q6J/BuQgBICI/hvpW+RCz2Wz4UURAJjWNbqioKbS2FJWhB4TyKZxFGy+wQnCCQYqjJA/gOjRLUgV0onlYo4+iUZaCZQuHjFQSTz4/6EMJcJoBkQJ6IIChZj3M/mwHM3Vb8Ng7HbyjMrlWzkLYkHdhIkCbx2cpMmuaA8eBJTCB9NctA++q+DbiYS5W4fLSMrCWaJmyGXJAjpEnfUnKFKsMwJoWIQg8BGk6D8GJ4zgch5DRA4Kn2lquzDRPMGrUE1EEeLgkiqAijbhyGtgIk0pPmS+ZkAC/RKI5hcrwwq9IlLJApVHExc6JTzRkTvoUFYtHJOILFQJqOBQXJa3LJp6zo1dkrLU84pfFKsmuPtnVf4ooSHq5PMSZVKVatX53c11UQ3bNp0/9gHulx5+eVXXnH5lZdfeuXlXS6/tMvlXcDOl3XpfFnnzpd27nJply6Xdr7s8kvnz5vLogNPZDKLUBwogZpsy7Ytj818/Nqu193Rp+fwe4dPenTizFkzn3zyiekzHn9o/LjBI4bc1uu2q268etHyJUlCL+IKxEQ9QFKUSzVMnDLxl99+OXC/A48/5oSUNwCjdZLZRStuGCkpKd5tt93Xb9zw088/UbyoJDn94OP3129Yf+hBh3Zs2zG/PZ8vA0N+W75hvYYnHHsCX4RefeM1vpKRSVVxkcQkSLWSqmeeeGafbncO7Tfk/LPP37p1W8MGDa/ocnmt6rVSzqYJqc37KJpIWVq6YPFTX3zxeb/efXeqVfuFl17YvGVLtxu63nD1Dbfd1O32m28vLy9/7r/PpWleWJTIXxvWf//j9xbCQQccGHhlUUnof87YkeLKuaXPLlvzwTt77LbHRRd0Cny2qGouRxNyfGXC34AYRUS9tWKUkVrl4sqHHnBoteKqocwCFaIFsWBNid/slMyj0srTIinauVb9tDy4o++ORzNFL9hyBW5EAWJ0ZnMDZkfa7pNfsQ4Gx99++5XvldfdekOfQX3ue2D01GlTnpz9xOzZT0CMeXBM/yF33dKj6/XdbnztrdfxNA4l6RLTnEpOSyoXF1cqGv/w+N9++/2MU87gFSrkQ5p6eWJeVVLE7/xiITRq1LBa5ap8qfj0009V6AWFUZzbsGWqyLwYVwiEKll8LW4Q7axWrVoonBdRpekJZ6ZylSoiUlq6XRIVhaQ+SRLlT21THpu6a8NG5593Pu+fj82Ydtghhw7qM6DrNTcznnXGWWveW8OftiQRMmmiHLM//vjd/+eXQViCmC/BJDiaHbDfAfzyfe/d9559xlmpBF44Rg4dMXrEffeOuPfqK65W0WaHNe3fu9+wu4Z1OvcCigxcEmrvVGvksOF3Dx0xcshw7IcPHjZ80LARg4aDkR4+fNCwzhd1qVmzJmulHaoiyj+SigPPHlabqtFPxMYFqqviQK8Mt9hnBGy5CDFAEUEggNJHLTAKES9DAeLsrHjLTKjBYJGDkVCROAsAoUoGy2hGQ81UQJc7ycKRq0MUEVVdgLWK/2PwuqOygnALEUa3UigBspkROkPDAkotCmH8acNEWUhYqEDxVzGhCO7M9I0PX39syZTHljs+/swU8LFlUyJOfXzZtOnLM5z6+DPTHltRMToxdfoz0xD6+OxjPq6Y9viz06avmDb92anTMYAojNMeh35m2gzGFT7OfPbxGSseA2c++9j0FY/NePYxiIyFdokLH5+54vGMfeyZKdOWT35s6ZRP133su+ELMF9RooCwJOUgxg2mV3yAmT8GAntlAE8K49cw40QGQAqmQTi22GlAIjiDvsdMSEkjdEs8BrMmEkF9Q+CdMdfhLAJFDciMqsxdUbm7iY/KEFwCKw7KEC/3UlH2A8wcJfJK0MDDtLSsfp36A/r0P++cczeXbV722uJJT42fOP+hJ1bOXPvj2nr1dh59z+j6dXf292NeHwgQA7szNUFnCE84EfJweRGU6KnFNdAYmyVwGp9CNCwNPXv0uPHmG996863y0nzZ1rLyreVl28vKtuXLt+d59tIHOiumIW+wZh6pOCmqUaV6raq1aletXbNKzVrVatWsVlNUc0kOtkZxdbBmpRq1qtSsXrl6IvzNNNFEy/JlH37y0W+//XZJp4uvu+ra777/bsGiBaXl2xOUfFKqJvRemYRB1P/5EsQhEt66mrVq3D/6/jH33z9mjCPUmDFjRt8H3j/m3jGj7x0z5p7RN994c/XqNVI+uwmUqCUJ7sFYCIRLigAAEABJREFUPxESUVPmiqjBAgs0K4hIq6pJUdH9D91/6XVXdL76ss5XX9r5yi6XXNmFMeKlXa66tMs1l3e58tIuFcJLr7ps6bJlieY4XkXFRa+9+cbbq1ftt98Bxx5z3F39B1avXn35Sv6Ks1g8uhDfkwuFYG7UFieVCF6HBb65fcNPmD/+8ONPEX7++ceffwxp+POPP954/fW3335r1apV76x559133/vmm2/FXYmqiSSJ00Zos5BTbdakaY9bune/8fbbrr+t5609u3S6JNFk6bKl+TRVlUT1y7VffP3dumqVq1135dWVikr4htP8kGbjRj9UvWq1BQufGnnfqKcWP50kCV8148kyumoitEyYxAtPxLNBSiL8zjht+tQQ8vv8Z+/6deuLBbKIiHLeKEwNm59++37IqMFX33x1t1639R3Yd8qUKRs2bPzxxx9H3D2iV//eN91x8xU3XTVh6sN5yXOeNIdrIqpbt/O6U96yaYtOZ13Q6azzO53d6cKzLrjwnAs6OXa68NwLjznq2NLysnyaZ5upjWye1q+MdEo0kQxUJTbaIFwSFyPsRXAOoWvF1DmuTJ1x0AWiMAkSkAl7iII4Tj4QjRD/xn/KVN0KvWpGWJyJhAxUwNsLGdFZOimsQP4hz3zFtYgjakEGU6DUARYzH6P734kqWKK7Pe0Q3kVYGDusLsEnwZVLEJlKRUMtgqqKoFdARJwRh4zltCFRUUflsVRITDY3qriiWeJ7IZgm5CJ2tFFBCkNeKJAYAoQQLATeEnjyl48aN/SuMX0GP9B38AOMfQbf7zjkgT5DH+gLDnuw/7AH+w17sP/wseCA4eP6j3iIccCIh+4aMW7ASMbxd40cf9fd4wePfHjQ3Q8PGuU0ksGjxg8eMX7QyPHQd418aBBekR40cnw0e9jtR7oWFThwxEMDR4y7y0cIcOxdI8YNHD6OXAOHjx0wgrzQY50e/uDAYWMHDHtwwNAHBgx7gLHf4Af6DRrdb+A9ff/7+koVP4mcaf/8YTJj0TQOFHWVdwahCYwKowCFpnlLMEKIRtQ9Da0zwv4hUGj1kAJBR32vTZAmLlQScq/z3CGD8CQtEi3RpJIWFefYJokp+SVGVYUdIys2CXSSz6cffPjBiy8+9/yLK/nT0wvPr3zxeYfnnn/2ueeeXfncymefW7HyuRUrVj777Mpnv/jyyxACGysRTAjMo4zM9txLz/cZ3OfNt9/crWHjHrf05Ie9ZXOWPfv0yoWzFj183/gu53cuyhW99PrL13a99m3+/sNpVFFVvvbkKhUVVS6aOWfmkwvmcIYH3DmwTq06IXB7+8JIIRhiJyKpVK5UZb999uW1eNWaVUmRagyyvYwvl2mVypXU1FKUxvGyQN+S6lWrFxUVb966yVeNmiWrqjAlGKR5KymuVLNmrSEjhm7Zsvm0E045sk0HD5mIdzhIQmq8iou++OrLJ+fNPuboY4495tjSsrIPP/xwt8a77dF4D4yTJDn0oEP22Wefzz7/PNAJlSTRr9d9/esfv+WSXKuWRxibKxoSyRVr5RpVVr2/xn9n2rBx1PBRderUZeM0SdQrEkZ6ayGomLmXmEcTFcpJQqqB9wDBLOEHT2Vni9wVbY6v0tDFyp/vkqJcojlJAKQ5zEUEGwVyakkQZJwBMRHhoImDqiizJ6UgK4Cihgwhny+/a8TgR6c/+sX/PueDakDPftMefoydXTh78ewpc+4bet85p539118bFq9YPHDEwA8//ZjcklMvskgrVS0pqVoyZOhQfgtsckiTc888t0qlKsbqAqEdyZv4Gx9/yrO6tevuved/8ml4+bWXlWq9xmB8NUxxMOdE8RH6wv6KJaq5XI50xSVFNDOXy3259ktNRBMV/qkkiZRuL924caOI1G9QX+PqoAlTVCm3ePni1e+u7nT+Rfvvc8Avv/3y62+/7r/vAfvsuQ8/pFQtqXbqSaf+sX79b3/+zkKsKCkP4at1X/+5fn3zw5qF8tSyzYjVEJC5caNGnc7pdM2l13RozylK9t173y4XXnrFJVdc3eXqE48/URI9aP+Drupy5bWXXXv8McdbwIkapTxffuGlFx1/2gnHn3bi8aecePypJx5/2gnHnXbC8aefeNxpJ514xknHn3rSwCGDfv/jD18+O6IcDifdnyvHOs3U+yMSpEiSkiRXKccxUFX0YmShv+oACS9GHxhQu1ATzPxyJs6CnaIlEyQdLxDikIsaKHop9JGVm0VCKsCDIBah/ciiISEhHdUH1IjNlBWJ4B9JVF6auHGCircRcUCOCZRriY6xM+6HClIwjpOgFUncLvLkoUZIDyekM1HuRatapcou9XdpsHOD6jWr5aoUFVfOFVVKkkq0Limq/DfmoCuhypVU1uJKSXE2+iOrOIdLFc1V0aLKIKqkuFKuONoXo6qcsAvFlYuKCV6lqAg2Cosq56Lcx7hTmpQoz+qiSpqrJI7FvoMIkxKIiEXGCUyKkmrVqvFT2oEHHMBDTpQ1Ocb+cSagfa3iBwuC5voJS+mtmQjHw1njySghiHEDutgVrg3iWmX0xrlE3SK4jSGFgIyO+IobBA3B22zmj1IkYipMjB41MVFKJCwoRBMcLSvSp0hFExQSLJIKwBInS5gqP5w13qXx0EHDbu92e42a1b/7/bt1v63bnt927DHHzHtyTtsj2paX8XWHB2aMrqkaQGyJZZDXYLjUScNI4UElH7ZQCFVJih8kjQgp8MaqN197643ffv81SYPy8OFlNTXLkCimfFI8Ou6R9q2P9IYRRrnFaJFYQruEjL7sJPHIvrpAfuVoak6SRFggyXkO5/SPv/5Y9sySenXrdmzXodvNt+5cry6fwh9++pEUJbmiIqE0EA+QWNRJLi+VDKIE9SFJVK++9ppzzjv3rPPOOue8s8859+wzzjnjjHPPOPMc8Mwzzz3rjHPOvrPPnfypJGUPRZQyPJQHCZaXnGiRSjGjIDbW4agwqolLIKES/eLLL9a8s3r1O6v4/F29ZvWq1atWrWZcDQuuXvM2I8K3V7+9KuIvv/7qQfxXrU23db89n8+3b9t+v332O7zJYQMH3vXHn39Mmznts7WfacIiQVMqcgxeAwKcIyJLNHfjNTe89+Y77775zjtvvLPmrdUvvfjSEa3bhJDefMPNH6754IPV77//9nsfvPUeBoP6D2IPEmonSByZiRQsCA8HRVOkxk/uuaqVKp9+yumHHnzoa2++PvepeVqUSKIbNm4oKyuvU7duw10aEQdHy1vbw1sN7T9k85bNkx+f+uVXX9auXeeCc87ngwAt62L0fRbzoyycgcBiaDO3/wsvv/DEk7N3ql2nTavWtWrUUuFf4MKeU5CYlYfSYfcMGzdp7HvvvVu3Vp3zzjh3QI9+Dw6/f8yQ0T1v7nHq8adUKany+ltvDBo56L6x9xRXLqZdSY5BWFTVKtUuu7DLqCF3jxx098i77h41ZFTEu+8ePHzk4BHXX3WdF0b7RDyjCFUxRIFko4i/XQXaIdgkKlLRMM2AjoigAlWdYGBSeKkArSASziSHR1yZCdWclgjQzGyuBxJRdRNVhZICJHCRTQqCQpm0ykRUALegbbDOiGcMxBTuPRFxbTTLSHHaZUJkBcwYXCgO/yQy2s1cI1kBHBg4VLhBoDUSR8YJRGDChldwOFAMNkIedDDZuIOA3YGZUHCOiAupXKs+u9Zn9AQMRGQyP2PRxAcEPon4ne0PFmb39RPCz/NFCX8Jss/XffreF++++8W7jO9/8Q7EO5+/s+YzcM2az9as/nR1hqs+XbXqk9WrP1n19ierkKz69K3Vn0KsQrLqE1RvQbz18dtvf/L2Kh/feuvjN1d98tbbsKAbr1796dsZrvoUM1SrVhHThRCrV39GutVkzHD152uQgLCMqz57Z9Wnq1d9VsDVn1LYmnc+e+fdzyBWr/lkzTufrH7n41U///GzqlYqrlScFCuPbP9I44xA0h40sV+CBMxoPou8RVmnzGWRpOEu/teFvyFXQrmc21REJYtm0VUEm5TX6GJLKplUMq0sVmwhZ+X8kVB4wKRpklqJhJKAnKeqFKsUaUmlop1q7XTL9TdNeODhRx6c+MjYiY+Om/QIOHbS5LGPPDp20qMPTHz0wUcefejR1s1biZAlFhlTx9MdLB6yfJp//sXn/9q04bqrrl3+9JK+t/U++5SzjzyiQ5vmbY498uguF3QZc/eY5U8vb9Wi5cYtG5+cPzspkiRRHvGlofSH378fPGrwgGEDtm/bdtedAzq2OzJfnjfzRjESnqUmQFxoLik6cP+DGjfcdcmyxXm+fBDEbNeGDatUqbrmvdU//vy9COY0Q7nvtpZu++SzT7Zu2bzvf/ahDaXlpb+u/3Vb2VbuTfGGmhNJMn329Nffen2fPfe54JxO1apU54PW15cTHpR+u+WUv9w/NuuxTZs3XX3FNdWqVuc8kyTwqu0toFA+iwMtzuVYleZyOc0l73zw3i8//9y6Was9Gu9mIfCA257fvmHrpsefmH7ZVZd/8eXaqy676pQTTuYHM0mVT+nEa9FEub1NVY0nn+HnE7k0JxY3V4rNSiwtThkFIseLQKCCoGk+l7K/oFRSqWpaIlqi/KKmCQ0R6ttcunlz6aat+S2by7ds2rZpe9k2X6avUEwABlNzcMZbLyEEpGL6zbffvv/x+6Xl5T269Vw8d0nPbj0uOOuc44869pgOR5124inXXH71hPsf/mjVh40b7frhxx9+/OmHuZzkkoQt2Jbf/slXn11x/VX3jRtdr26966+6tsmBTVLfXnbAX4zEE4jyqScSPLmddvKpzC+9+vJfG/5ig7wVkgqLMKPzzJSHFwRL++X339Z8+M6mLRthmx56WLXKVd94+833PnyPlQhtTBSbz/+3dtWa1TWq1jy8yeH0VFVUJFdc9Ptffw4eObhF8xann3IahkhpdwjBWHSilui27dtZRcJJEFdu3LThlddeyeVyHY86Ki3PG8WJeCLq4p7EObW4lZrjn0pSlCvKFZcwJUmOPgcrLioqQpbkclpk+AtuElL57vsffvj5Rz7Ft5Vt2162fVvp9tLy7dvLt5eVO729vDSXS+rVqVu7Zi26JgCNEEoS/pi8rXzrtnTb1vzWLeVbNpRu/OmPn597+flXXn9ViJ8k0QqSEmkqOS1KlEkkBMK5OIg4xQi6wC8XiioaVUbxCzU8YUQUMKEQZnEwVckCCrNLuGilqOLqWi1AJmFEiEq4VMX809OEQqhXgsVHqBhKFxIrIocdFhcvzyks2GgvOOMKBlh4JDEhdOZJKCzh/QucNdi5/qMTHvnq0/99/fnX333+9Tdrv/nmf99++79vdxDfIlm77psvv1nHuHbdui8xAL/F7Jv/rftmLfgN9tEMG3DdurVff/O/b9ZFRP7t2m+/+ZII6779ct23a7/7du2369Yi+Wbdl+u+XosvSEYfv0O+9lsMvmH8H5JvnCYjGGN+8+OrQIcAABAASURBVKV7rfv8q6+//N/tXW8LaeqLYHu9afTMuyHmty9bwMLpGiM91EBr4vp94GYSGuR2rk6lYqeQQBs2mMf9hVQlDDKPC5vi4vZ+aGE1UIKxb9EXM9/rLDhaHmhCKighiJdHVKMalxAIYwQQbqWqvO4RwiR4UMNTDT9lNZaWG38s6n3Hne+/+/4rL7780vP//ej9j+bNnnvIQYdYeeonxWv2FEF4SuImgHHtQBjPtoMXyrOYQGJ56IVCgvlDPVWqIGQwfrZDZGpJjgpVE6CIpzuU7NZw93NOPmuvRrvlDLnmShIrCqEoWI4xteLgbEKHhUOX5zOkKOSL0nxRebmWl0t5yAXewvNJfuzEsWs+eO+0U0/jtZ4/m1x3zXVrv1q7ZPnirVs38+xSZY8pTVQSoUqQOsVBVUWVyxlJeER/+b8vf/7t1782rv9r01/8urRp06aNmzdt3LJp4+aNSLaXldbZqZ6/63trWaSvXyT8sWH9+q1/bSjdtGHrxvWb/9xevl3IpIny9EiUWQQyEZZh4bZbbn1swpTpE6Y5Tpw249Hpk8dOOqr9kZTR+/besx6dPn3iY489PPWx8VOnPTx18kOPnHT8iamF/6376sIuF3/2+Wf77b1fp3PPr1xSEvJ21aVXHn/ciW+tWTVr7qzN2zZbVg6BHEmrEiGI8pwKQGrFWly9pFr1SjWqVa1OQU89tYBvdGkITy16atmKpdtLt1etUnmnGjXr1KjNNyjDTYyqPQwnitZlI3xQSGYzkyCHHngIn8U8m/sO7Ld+4wZR4XtRpUqVfv31l6+/+VoSQWJiHIUTjz3+zNPPLCvdnk/Lb73l1p1q1LaUuJzBgJFhWZzk+LWlSlFxlVxSKSm1ssXPLrvmpmvpavPDm51ywikhDSRVTPEwwUNySuXPrHy2Qb0Gs6bOeu3F18be9+BtN3a78pIrr7rkyu43dx9338Mvr3zlrr4Dc0XFk6ZN9p8khYyULg4qJZVKwMqVK1dl2ZUgSyqXVGYuzpUUFxWTji1wSzFTUY6zamQZMoJHra8CS5OQKSONQzZjWUGjRiZiQqAoR+Kz0CUQpWoWVgDVv2nYDFVVPKHHRMLeQkHgKxIgIhsJZ7IrOlS4ZWaqheAKZFaCK5YgtUQ6mmSRGUH5u3mYgdHMI6OE3ZHXd4qoMbaJxkDwAllgEikIE4QmHkjpsEEKQDzG/zf8P1p8QHJm+emvO9KojFLnnCS4H2psXVIoxEk/TKpKSeiZi5OiDq3bnXXqme3bdGjbpm3bNu3bObZr27Y9P3i0a9suYvt2bdu3adOuoHKibbvWiNq1hW7dvl3rdu1at23bum371sjbtW3dtl2bCqK1s21bt2nfph3GbQtsuzat27Zt3R5s18Z927kcA4/gQdq0a+sGbdu2aR8NGMG2sQAf27dp36GNV0iRYLu27du2a3dk2w4d2rVv1749V7t27Y9s3+HMU8+oU2snNeFBpSyYjzZV2kBX2QwIMDZPggZoEBVj4g2K3VNRd3RaUUTMbDgMtNkFTK4XP+yqKWoz3uie++9zo8beO3LsPaMeuOfu0feMHD1qxH2jpk2fVlZe+tGnH497ZPx9D42+dzw45p6H7rv3ofumzJgiCX5FbVq1u+DcTuefff75Z11wzlnnnXPmuedBn3MBwgvPu+jC8y68+MJL9t9n/5izoigyRhJhROPZRG15S3/+5beyfLkXxcOO28hCaoH3SP5okM/ziNcqVaoYpZu+/sYbXa65tOMJR48ZN6ZWjRo9ut7e9Yau+W1lZt4cD+8nj/BKPznIxOepcOABB7Y+ovUnX3z61OKnc7kiordu0WrPxruTYsDQAR99+fGfm9dv2Lbxm5++fWLBEzPnzKpWtdrZZ5zFM/GeB0Yf0bFN/yEDN2/dEghEkkTXrlv74ISxRUXFZ5xy+hHNWwUehRJfHtgHsuaS4pLit1a9NW/evHPPOo8/6dBujJscdthX33z17ifvlaflpWWlq99ZzQ9+/FZXzFt0Tv7460++vJWXlXW9qWsIQZPk9/W/9R/Uv/0xHa6/5fpNmzZ16XTJHV27l28rT/MWKMOChaDBWDI5hTvKWDUKbl6lUpB9enrZosH3Dht8z9AhEQePGjLo7qFvvP06bwTLVz47dNSwYfcOH+IGQ/gb1MARdy16ZjEJeD1Q1R9+/LF3/z5ndjrrzAvPPuuCsy+9+rKXX3nZ+8ml4v8YCijm2VEIBUFrov78Li5Rl8nPv/xcVl4WTHgPih5mGviw/O7H7ypXrpIDinJUz8f00uVLz73gvJNPO3n+Uwv23Guvnt17XnDeBfk0T4OJZJIEosd9hYihNOTDGaedvs+ee3/51dqVz6/ELFHM1WsiKAWJG5oY0x/r1593yQVHn3TMgCED+RnyxONO5AvzX5s29BvS/+13Vv321++/rf/9tVVvjh47et26r08/9bSd6+xMQpbDrwx5Kx84dEB5WenlF3dp3GhX9r3hLrvs2qDRx59+/PGXnwU1fnOd//T8+vXrN2rQSELgDv3ii89pWsumLQ7a98CUL7mxEoklEZZ1BJN8PgU5RAokvPmlZYEv73n2KBg1axpC3tJyBvZbeOUTYTTbe6//3H/v/QvnLlwwe8G8WfPmTJ8zd/qc+TPnzJ81d/4T8+bPmrfgifkjhowI+UAifBxVBtzV/+LLL7748osuvOyi8y4+/8TTTzziyNbnXnTesmeW5QP3Gk3CkG4ZE2iSPXdi0aIqkqHXJhx71hHUZQJQrxhz3Ghm55kKiCkU+kio02ZKYCfZLgQqZECNEUX/X0JFQBEfnVDMYgnOQBfqkQzMF+FS2CwSY1YehKo7oQKjEdYiUajii8OGeIhon3gP+HHCyrfny7aWlW4u3b6prHQT4/btm8AyRn6L2IZ8cxlj6eay7RG3+Vi6bfO2bZu3b3dt6baN20s34esGpZvLSxFuLN3uoUq3bSrbBoFkU6k7Yra5rAybLeVlW/Jlm8u2b8Y+4qZy2LJNpTFCeemW8lLXlpZtKS/bWl6GMcS28vKt5fltabo95LfnvRsiEtvlraXfcdl0gYMqABY+coF0QOkVTUiQ86UWxnfV/YX+YBJjEUaUAISBzLTsKGokgd8cVApxzMWcd8zQMnpfCSWQpOEgsANOOB8kuNqdMaZQVYWIqNRBHExwxVhCKoqABAHWsBbc07R0y/YSKdlvr/0P2OeAmlVrlG0rTUs5424jQqmCWeYIhVS8huhtQjqvV3ZkFXMjL8pnkYKBQig6JaOFfFr+6x+/fv/rD9/+8t13v3z3wy8//vDrjz/9+hP4yy8//wj78w+//PYz78palLz/yQfZU/eukYN5Mg++d+iQe4fyyxo3/s+//TLivrsH3T144Mi7BgwbOGDYgP5DBsx8cua20m0zZ8x4ZOojhx588EXndqpRuTp39xmnnnHA/vvPe2r+dz98x6NUqEbEtyTui5dtolKASMCrJvx8XVS3br2+d/ZZvGjp4oWLlyxcCrF00dKli5aAy5xYumzhkrtHjqxcqbKIivltEESvvP6qo085tuOJxxx10tEdTzhq2YplIgkNUQbVhG9c6mDiD7IOrTucc/o5Z5969pknn3X6SWeeccIZJx134h677Ylhhzbtzjj5DEfkJ51x5klnnX3a2fv9Z7/ff/tt4OABL778YqNdGtx68y2HH3J4yFsIQVPp0e2O3Xbd7fEnZv5v3VfkMBFRBU3cgJNhwTQEgUIjymN045bN33z/zWtvvjp4+NDho0akadqxQ0c+kW/r0f34007s1b/3088s/Gztp5s2byYITsbGE9fgLKTcCMIDzhm2WD06NnzmnnvWufvvuz87O3bC2HxID9h/v33/s3dZvqz3gD5vv7fq+19/4Mf0T7/6bM7C+W+9/VaSFEmQRQuf/v6H7wkvJuX5fJIoJ2TRiqWLVy5b+MySeUufGj9lwpU3XnXNDdf8/NPPTQ5q0qt7r3p16nkhrMcCT33NiR8ePFWLS0qq1ahuatu2bLW8WUoLBFBlp8KmTSxHi4uLq1atyl0l5mk1AvT2stIt27ds2b558/bNm7ZvATds27Rx68aNWzZyxlgsNo5CeDGCchkXt40QHYGKlwMjQsuFFMQ2FqmKNkAw+QPahMqRZTSEEIRQalgygxIhxocjVOQLAxKoCiEcGNMircCCloAVkjjHZJHaMexIIpRfIVUnPKxf0BiBEH9jNHF2B+HMjqtQQKGu/2PDaaRJIK2gmYUk3KEWDbUgEFGNAvn/DjtciUtb3ZEk7NCOQAXCKrTofG3wbhwvEzLj5hWGZoc1Gz3ivkljJ00c639CmTRu4kTwoUmMjzw0cdJDEyc+NCGOEyeOmzBh3MNxnDDhoQlOj50wcezECeMcJzqNcMLEgg32k7Jok8ZNmjh24iQMxk0suDsxEaFjRo+bgEEWaoJbEmfChLEPO47zEctIE4F0EyiARFHy8AQvDKHjRFyiPeVdc8U1Sst9pcqahfV628RXHztPr9CLFHolIkgEMzqWKfCFRoQQrKAlukexsK/RXxUXP/pqqBN9ZsUzo+65uwAjR909ctSokXc/8siktDz98MOPRo8ePTSDYUOHDR86dPiQhx4ax6kKwdJ8mpbl82X58rJyxnxky8vSPK+E5YxpyAfPQ3rK27GiWAQyllCU5I4/9vi9dv/PrNlP9B7Qa8TokRMemzhj3oyZC2Y/Nnv6g4+Mu2vkXd37dP/o44/2arzneWedZ6mxoHXffP3aG6+Vl5fze8/wu0bccPVN3NQh8DBEKRYhBG9BkkuEPzU4aTvXqXf+WeftXK/+sLuHfffjt2Jhr933vOGq63equRPfvm7qcXOfoX36DOvXrW83vm9s3LSh0zkXtD2ibWr22puv/b7+jzfffnPL1i3EDmKbtmx6ZNojX3+7bp+99r76cv8vakKWXR28qTndtHXToGGDdtlll07nXlCzeg0cc1p0/NHH7VK/4X333zf0nuGD7h5074P37lS79nFHHZNoEkK65r3Vr7/xWvt27Y497rg0Dar614YN5OXbZrtWbQf27t/7tt51a9UN1BSCBQc+M1LnjX56g+kzD0aSWYAMLFx16bKlY+4fDY6+f8zoMWNG3z/6vtH3rVq1GpMXXnwBejSy+++//8EHHnho7IMPj/3vy/9lK8ler3ad6lWr//7b719/ve7rr775+uuvf/rxR37x4k8luaKc8qHKx6onFk/Nw4R0FGK+wZmm4S4NTzvx1GpVqk545OFe/XuNHDOKvs2cO/OJeU9MnTXtgYfHDhh21/Vdb/jq668Ob9L0sEP585GFYF9/9fU7766haRdecOHou0df3uUy8ZWw9SqkEGxCSFMyqyhbjwyvmtVrDe4/aOuWrfMXLfjx5x/5BVASL4wTKKJYJkkOS+if/I3nB07oZ19+zvfnhg0a9ul5Z8Odd3n51Vdu7tG154Bed/TvccNtNz/73IpDDz7kmsuZrGqrAAAQAElEQVSuKs4VK5Borjj3zMpnFix86qTjTzrl5FPZI5qcS4puuO6GL/63dtCIwaPuH9VrQK//vvTfdke0O3j/g0lnKuMnPcyGnHf2efV2qkf22B6FkAxUP//y01EP3sPL1pLlS+nke++/N/ye4YPvHoxkxuyZpFj97pqR9w0fNGLQI489snXrViEoUt/38Of69YuXL338iRkzZs+YNWfWE3NnPzHniZlP+o8Fs2bPdMmcJx6d+ujGjRvJq5r4fxlSvdbnX3yx5t133nnvvfc/eJ+fjf/44w+acOJxJ7Vp1SYnqqJemmZvok7Gi0U4xp5mJbgdhVimFnNeGCBMxI+B/BMIHFlc4uyDapYLeyc0BnED50wyLUJsI50NcF6GCv9AUQBZtFcVASUDVWgw4xgj7UJo0PxylgsViMCRvWPSQig6ThFeHbWh4na3wD/j4q+nxi2JlBcdTmUFIpTU0IJO5xXCj2s0YPcyLSrjL7WZJTdRarzM8kIZI5twslOCBEkzNLfn5kYYgkcLgkQoIK9GZL7uu0TIlUVg9FvAhAJZkSO0wDIpq0JOFwgmvkrX+4XUJwpCqeYqJ1wmEMz4Qph3yEmyEhM5LowYGUmEU2AQzBLBVN06qkz8jFFG5FztDz2f46XYQuBubuC9dgJ7muLpaIOnNICeRTuUYEVSSsEjpCHk0zQfLG+0RUwJ59bGQABYwUwEAgxxVmKIOMmAByiA16S4i1IqvhgYnzCaiKrSwzRNeWhPnTmte78edwzo2WNAzzv63+HYr4fTA3v2vKtnj0G9Bo4aVEY1qp99/vnDj0x4aOJDYx9+8MGHHnxw7ANjHhgzZ+6TFsLvv//+0IRxD45/cNzD4x6aOH78pPETJ0/gd6gtm7f89deGI9sd2afHnU0PPZzV5cvTXRs2uuGaGzqd36lWzdqUma0HglqFy3wQhaJmVm2qlojAJ6Jbt2177bXXn5wzZ868ufMWzJk3f86c+U/OmT9n7oJ5c+fPmT9/LpLHpj/2/Y/fS6K84detVWf3XXfjCV9etr3cP/u5ymvXrrNbo8bVq9UQVcLmNGFUZUo4fvl8KC9P8+XB8hbKQ4AuC35uRUIqHmZ7eb40TctCyKeOadi+fVs+Le/Qtv2o4Xefd+Z5+bIUsGCWBv6gdNVlV55z+ll1d6pL/Z5EyCZiykIZLFuliKhtLd266JlFfQf3ve3O7lfdcM3ERyfu2nDXPnfc+dikaePuG3vrjV3r1qk7c+4T195y3U13dH10xuQt27YKdWsixDPhFgtpCN4zgbNIoApiyA/YZ/9zzzgnl+TmzJ/7/ofv16pZq+sNtzRs0Ihvntd1vb573x53DOx14203Dxg6EOcrOl+2+6678ye1EfeN/HPjes0lpdu20yYkl1912eVXXX7F1eCVvfveuWzpspKi4k7nnH//qDFtWrTOl+U9L4th20QozysRq1q12tmnn/ntN98OHjGk/7CBE6dNnLN43tMrFs5ftuDxeTPGPPxA74G9Jz46Yfu27TdefT1bRwB8Rfkn27ZtnTln5p1D+vUd0r/v4P59hwzoN7g/CNF3WL8JUycaj54QVEQokVHF3ZSJmS4IK1KfqQU6KpiN9jMFEc9mSv8kA7czF+JoXOxVpvjn6OEjH0NH6u9BdYc6Cv/NxhaR2qJux/AP9m/vfwjd0BXGspz+RwTig5nQR/PBrx2EM///LgJmNirmBBdIaBRuHxkI/uhspKhA17IMVSdUfcQoQ9UKdgeRKSrqRg1mMjVIUMSfkVhEmqZnak+PpIDsFQKYgpIdNOP1a5f6DXgr2mXnXXapl2GDhhmxc8NdwHq7NNp5l0b1GzbauVFDxvqNGtWH8LFRg4bcA7CNGjTKiF0bNMYM410bNGTMhI3Q1m+4a4NGuzZouGv9RrvWd1WjBg13aVAgGjVoRORdM7b+Lo3qN+TtmbFR/V2RO8YCKNKx/i5ZnQ123qVBvQYN6jbYpe4u9evWb1Cnfv26DSLWr1e7XiL03BthGmiSAvFMsvwdRw6aVrgmmzJKVTJEKGLQFYSqRvL/DAjpqwuJ7AchDUcfedRtN3btdn23btff2u0GiFtuu6Hr7TfcetuNt3a/sdttN3a7/ebb7ril+x03d7/jlju639z9ykuvsMDDB/RzVAgnQmiN4MfLQ6NxVF8L2QRG5Z/ggrat2t03/L7jjjyWx/2Y8WMG3z2o37D+fQb37Tu0/9B7hj4y9ZEvv1h7ynEn8zX40IMONR7bIk0Pb3rvsHtnT3ti9PB7Tz/hVP7wbcEkPoaMJpDODAldzUmiQTwpN3dqxxx59HlnnPP1uq/4292W7VtZxNmnnzN5/OTWLdvw96W5T897Yt6sl199uUa1Grfe0LVHt57Vq/IdSdq3brdT9drtW7etUa2aJcqvSmveX7N6zeqda9e78/beuzbYlWduXFXWfkoQfi6cNWvmjz/8dOF5nQ4/9DD/8AiBY3/QAQcNvWtI48aNp06fOnXGY3V2qjOwT/8mhzSxoBs2bXp06uSQpjdcd2PlkhKTEDTUr1evd/deTz7+5EOjH+rSqXOd2nV47Ge5GI2QqeXLkPle+GVxR0xQ0QE4S9PTTz61563de956R69uPXrdekfPbj17Q3Tr0bMbbI9M3rOba3t2dfaEY4/nq5SpPTrh0Xkz58ybOXf+zLnzIjFvxty50+fOemxWo10bhux+Zsdjw6XwUGX5pGW7qcSKcgmnZdw9Y/nisXzFM6MfHH3X8Lv63NXnzrvu7D+k//BRwydPnfzdum87X9B5+MChe+/5HwssyY7pePQjD02c9si0of0GtW/VLpSGUG5CPkIqm6lxdfCe08yPmpqk5Sm/lXa+sMsrr7+6hD/NlZepqoAi1atV33WXRvVq17aQWhr4TbRl05a1q9dq26pNtSpVysvLTjz2+InjJh7d/qhv1n0zb+F8vq198+26ozocNXzAkMMObuIHl0+qotyvv/+6aNmS3RrtdmfPvpWKKxunLig/N1xy4cW9u/f89eefH5ny6Guvv3bBued1u6lbrRq1k1wyb9GCZ1949ugOHU878RS6qmybh/NJvE9C89b+b+2kKZPGjR/70n9fTEw/+ejjhx5+6IHxDzww/sGFSxap6EcffTTh0YkPPvwgn+hbt25TEWIYi0nT337/be68JydMHD/xkQmTHp04afKkSVMe8fHRiRMfnYSQVzRe1LZs3WohNNxllxGDR86bPnf+jHnzps+ZnxEz5s9+fPbUiVNGD7/nhGOO19gyRvHzFGi1mqoZGWNaBsGEbZYIKgJKBua0KgJQVH1EY1wgQRgTRcGsqowhiyu0IVohM3aUCRRAHRIp+HjPzCoscRLM3N4wE5on3pooFB8lgmGkgoXCMmHjFIxkMxFBggdxiVIUZhwq58ShglV38Aq4cDELPrpFcCo2CiHvKCSlTpAlgpHFNoTEnFYjFwQj5QSPi62rfFUmyNG6SCONkThBRURzrVAv6HFIHVSwpxADUDmaiWFvTqNxhPYJORM+qNGyKB6fFrcclkAVdlhhQiAIZKDCw/yNpubV/y1wCkOfWIvG2cQKhJcHTbnYmKlm8mjluVkaEuTuC1VQ/NtMzatQTHBBZcSHEiZH2KjS2DEkKm5vlGp8IHjXsEYuTOhc6aTPyqCCo4mHQwxCMyqOTCJkFGw0Vumsih9RM0nzgW8e77///jMrlq9Y+czylSueWbl8xbPLlz+7bNmKpUufXbrs2WXLn13+3IvPlYfyRPWwQw7j0XFn9159ut/Zp3tvPlDuvK1X7249e3Xzsfetd/Cs7hkf1L269uzZ9Y7zzjy3SuWqF3Xq9MCoMcd1OD6RHN9AKLZYS845/ew7bu3OCxIfNzQ58CxlU8UbYX5MDZAIsfwEhUlIQ7p506YlS5bcf/8DfM+7f8wD94+5H+LB+x98wOcHkCMbff99P/z4A4uuVrXadVddN2vqzFlTZsycMnPW1OkzC8TMaY9MPffsc7xriqFnomH0METOVGgSfxzlWww0vTIqNJ7HedqqoppTPjcZFQuR2rVq97q919h7Hjz9hNMlnwa+rvFBlw90uFJxyWUXXTqgV79dGzQyIZgo2XyPjKUROeNYL3RpadlLr7w0fdaMVatW8dvokAGDHn1o4jWXXVWv5k7tWrTucesdj4ybxC96vAO88947/IbrYdzfVAimwmhap3rt3XfZtXb1mpZ61cGUyIEEwS7vfHnblm1rVK/x6uuvlZWVd2x/5GOPTONX4N9+/Z0f5pYuX8YPW8cdfezY0Q8MHTiYrdx7z334jWvx0sVl5aVVq1Q5cN+DDt7voIMPOIjXm8MOObxN8zZnnHBan+53PjZx2sghI1oe3oLjZH6PF+oS76+RHRkfSl15SevafdvmrZOmTBo4fFDvu3r3GNCz1129+w3pN+Le4fyds1b1msMGDrm882Uhz88zSruEK1hZWf6/r7zEV+jHZkybNuPxx6ZPe2z649NnTJ8xc/qMWdOfefYZTDkcnCKlE2QV8d0UBwT0BUo1zn+XJsqRQ6YuMs08YDSjlTMXDRTIbFmJioB/D+acqY8iO1RmBQEiiycEQrwbDI6qBQON4KJ4IQWdpG1E+YeWWlxOR3zyBChFC+ZR5gtRLUhUC4Sr/l8vd8mUGgEaN5CyAxMofiFPMMA8FuYDoh1YMKngURdIw4NbxseC5F/Tv/1YIp7R5V9WGePyGMfXLkEpD9alQYKk7L5w3o2zhpjzgyAfLB+EMQ2WBo6IcRunZhkihw0hBUKwEKKBBbShwKKJkVNxSwspqZRRg1kIIFpGJJbCmhPBCeO2CybBLM1THWiQwSz1IoMbC6N4LmNPDQKLYE7gaO7KulmKn0PjfUFMY7u4nVm0K9AXzhSukfEBjdth45xfePgkPNOkYIk2RtPYc6QEUjeKgygLP/WkU+7sfmffnnf26dG3b4++/Xr06XvHnf169unXq0/f3n3639l3YO9+/Xr16wvbs0/fnn1vvPrGfGneYwglVJwaeOcI71OWPQ1hv/3269CmQ+NGjZGQEh0oqowmCJKS4uKj23V8dNykVS+/PfORx++4qfsFZ553+vEnn3/qWbdee/PkcY+89tzLPByPaN4yzbPZRoKDDzyw83mXtG3Rdue6Dcw0BPpIKQklgARN83ZE81Zj73ngrFPOqFRcKZj5woOVFFXq17tfs0ObLlq0aPK0qZyg4iTXsX3H2Y8/8foLr/Hlber4KYvmLHrtuVd73tqLL8ZpPoSy8l633/HB2+8OHTiEn5GUx1ui7du2XzR34dsvv336iWeEvLeC9oIUJ2ygWVqeduncZdXrb99y3S2J5fjpzjjHqeUkd2TbI2dOm/nBqnc/XPXB4nlLTj3htKJcCT9xTZ89/cWX/nvxRZ3bt25HXgm+mbVr7XTaCace1brjbo12VynyhbIWIZWyUlrK0eIPiXx9uvrSq+rX2zn4saMK4yxhgF1I82ecaxZi4wAAEABJREFUfOqd3fks79379l69uvfy8fbevbo727t7bz7Pet3eu3f3O3t2v7NXj17QJx5zQpFyMPJNDm7S/PBmjk2a89BvcViL5oe3bHZ486aHNi0qKjELlSqV8PPqVV2u3GXn+tRl7E1EtpfUbAnC6lWrn33a2fNmzHvjhVcnj53El9gLzzr/nNPOurRTl749+8ydMWfNG2tGj7zvkAMOwT6YpZbnG+npJ53e5IAm1SvXCOUptxiRhY74qRFWzhPqvLPOu2fQ3Scee6LFpgQLaUrLkpuvv7F1i9YPjB/7+dovqMGUH7LD9dde++p/Xx19z5i0tNxCWq1K1SkTJtN/1q58+LuztWvVbvqj019Z+dKTU5+YPXnWq8++PHPKrDat2rLhZMdKVOvvXP+hB8a+9Nx/99x9d/5mS0WiYkGqVal+7eXXPLvkmXfffgccNeyePXbdI03Tr7/5pnff3jvvVK/7LbfvXK8+j5ZsU0RMWItaIqqSa3tEuxmTZ8x/YsG8mQvm8f3HvwXNmff4kwumz1kwY95TM+cvmDVvPjhz7sjBw2vVrh3wV6tSUmn+zHnPPrVi2fylS+cuWTIHXLxkzqLFsxctesJx4aynn5r59IIZTz352OzaNWtST5EWHbDPAc2bNG9xSPMWTVo0PxRs3uyQww8/8LD999y3Qb0GSZJwz+61517nnnH2Afvu5zVymQCqNJ7ZcQcFASKiz4xgtGVx2SyZNhvROgYjpGomw08B4QZ1HTMcxwe5QAkHiMXSYqhII9QdruZmluTUEiWncLkSfxXAVJlBoRoymHjnzOCQKIAR6PUwCfZMxpYSCEqSxEe/1KOIuIoBwoMkOEJSGmj4eXwMQQIkZohFJPqyaNJmiNiN3dsgfHXc7FHHIPBm4qmYhHKx8SZgAxfMPCAGJg5KKjPMMRH/MIlq19AUOiFizkjBQp03bIhWqMmoUxxUfb2MGl1dFC8C+G+BkXZ3/3gRilAlGlIjLVNUeblOR40r+PjeYSbiYg2ULMZaCFwYRUTVleJQkFOfc/FCp8oQGTKpZEaqNMqX46VHJUaGTBkyOwgWi0gEncAGqQAExDEL7u6NMKoznhlYRRvzxRp9dH+jQf4XR2Koy/1KJEcQFH4MLZ356IwXFj3//MKVKxeueH4R+Oxzi55bufjZlYtXrFz4zMpFzzy36NmVC1fMmzmPp5CqHrT/ATwcenTtcQd4a487bu3Ro1uPnrf17HV7z94+9u7FV6/bevZ2tlevbr3OO/PcKsWV+UK1W8PdNWj2yZLmeaqFkuLKlYoqlZfl+93Zb8K4h1s1b1GkCT8vnnHS6bVr1GZx3naJYCrBH5xpPj/xofELZs+fN2POnOlPPDnjiSenz54z/cknZ8x+4vFZs6bOmDVt5sxpjDMYD9jvgCCWS5LGuzTi4dzkwMMOO6gJxKEHNDlk/4MP5jvDvgfyw3GgmBDatG5z/pnnHbj/gWZG93FUGk1ypXlMFozk/KlXKTgNIpookGPCDg+rWrlKk4Oa7N5o93xZ3hcYDB8RCk9JUatqjZpVa6R5Vl1y/NHHNjn40OKSImODjbOLFXsixBOT6lWr3Xpz1zdfeuPDNe8vmD33+iuvPXifA0u02MosLbOSXMm+e/7nknMvnDPjyTdefP2W62/myyT+9Iq62WCChPIw7r4H3/rvG2xKrCGYBBVWwhpC3dp1np674Nklz1x/9bVJopJqm2atpjw8ec1rq1959qWXVrzw0ZoPpk9+/JiOx9SsVqPLRZ1fffHVFUuXd+58SVFRMb/ZvbDixZXLnluxeMXyhcuXPbVs4dynp02c2v2W2zoc0b52tZ3KywIZzbwiEa+IrRMjtxgQpEHd+hi//Ox/n1mwbPCdd116QeczTzz9nFPOuvbSq+8bPur5Jc88t3TFlV2uqFqpSkip2oiW5tPpk2esfHrFiqeeeWbB8uULli+bv3TZ/CVLFyxaPH/RonmLFs55+unZC+bNmNf1xltqVKtpFenJmxgDf4VngwolVUwYGTTGSomgeLUqvA95tWo+YgAhBCmgInESb5YnboMhEldEFmO2QES4B6UCdqRHgCVJIXYgbIaZxCoiwxLqXyp0aI3zh5JUgtapf187hDuIf+v/D0dFYPZE8YVlXoyUnS2fo5P5uBE5M2bHiCl0cF9m9LFML7RAuNQvWNApUcyhwcBjAduIrmLNPv3j8p0hKkUqF4c8CKVhgILcqiqa+BYycda9jsB9ZxwewZI+WbQUchhArMIoqM1NRZwKsSjDzzIbMwoUanU2DSi8FX7/i3uhxSKEwGiGGWVBZqNFMY6xh5FDIgFJtI+Eilfnl3HeCWwmISAkrxmezJHj4SncxFGJAD+JKxYAApXHQ0N+cycPkrFui5UgdYxa57kijQek+Mp85nJf8yLV+Jgo4jMjQ9Ui4UnE94KQaOBDNgkBZEUqIdsCmsAqWYshJbIjArMQPCDBhWWZ5cvy3W6+bcmCJZddcrnw5dOMMmmcj25EOSzIqVyueOeddz7x+FO6d+t+z/B7x44ZN2bU/byLn3PGubs33D2RIt4U8RKRYEYZIYKwVBEPikKDEBpCBOWuuza89KLOTZs0U0o2fIRDk+b9/wD6c0tXfvzOR9dccZX67cuikpJcpb1224vvGGedenb7Vu3r1qyT8IjAwSzv25WrUbVmjq86HA71jYOuWlKtWkk1oRbSqzAYgwcUZhIVa3GVXGUNmubzfF2gJKMEPofKQ5HlalWtXafWTiVJsdEWDymnnXzaWy+/2atbz+JcieXFyE6DU9ZE8wMrMzFR8Zo1xAVFNpF8WfmlnS+98LyL6tauKyGunxKMYyVuZklIqY995JU0l5OiJOQSS3KWAxPiWU6MukHJhSQnzrJQPmBCGkK5hfIAkeazMTUIr81rqFy5ysUXXHT/qDH/2WvvNJ8Wcnt2Qy2kpWhHKy4q3n3XPc849Sx+Rxw59O77Rt43dMCQm6698aj2R+1UvSZdCinFqkewxFiuozkbr6igBz4jZTvbtGpz1eVXHXZok3xKmwQhOprcuEHjxyY99uySlf/Zay9RKhDJ0wu2uKRIivPlaUplaSiSoppVa4mxOyFQeFBLtaSoZO/d9znh6BNOOvak/ffel90R5JakEiRoGvI0oUiKS6QoX0qgFE8ymndDuLPZuBpValTOVUmCbxmFV65Ued6suUsXLG1yMH/bDMISkZpRqiPlwUqoW7de+yPadWzb4aj2Rx7V4eiOHY5iPKbjccccdcyxHY8+tuNRx3Q46ugOxxx15LEtmrUsKsolcW+J1vywlkc0PaJt8zbtWrXt0Lp9h9bt2h3R3v8b0bbtj2x7ZMd2HY5q1/Ho9kcd1/EYdjxNWbl4tUaxXOyTSAgpitTrtxAsGOxR7TtOnjD51JNOMfNdMc6biMWyqRcCFDqOED6iVwTLqhhd7dIQaA2G0VRooQu5WD8mjuJhIRCG6AsfIs8AIs9GCMcYKZOY+VnncMXUKpaI4Jp6GrNoKBaIitA5ZEZijyIZgSSluoIEzpGg7uAemPnyo17YPAgCGFnQiFjIm7vjIUED9w82JgwuoWmYgOZ1srYgDIQQA0QCFUOqxUwSXOPRUJIE1qvQTElGFyNEhaszQliLz1T34ikhSFCIG7svdKD92d6JmLmQCXOiWkgVcLlzVGF+kUJCCIIXLKYSvcQnfLHBGoZqMQsFJZy4lkFCjMpaWW2GmcZ10Q4iQQGdWUJkSPCM8NGzZ7MnhEILQvyN8BGRMDM6RkqF3ajIS0KPRi9MaBpGflQkOOHr5KISZ6PE80UDCDbRH0ZCUDaKHSMIHwxicGKeBBmbpIloohEO2PfAww9pyudO88NaNGvS3PGwps0ObebYhJ82EDZr3qRF00Ob5fhgopVGQB7IYMJzg/s0sZwGaJ7D3OhgLgk5TVVCorwWmYY0hEAFwVcmQQKE+Pb6jRz4GZS/kLRt2cafb6mMGDJi8sRH995z77ScDxW8fC34B1qRWihLj2je6qg2PCt4UBx9TIdjjulw9DFHHnNMx2OO63js8UefcOLRJ55w7An8pHXScSfVrFaDXpENV6KIp04YEqFizWkOWsxThDS9vPMVE8dNPPXkU9M8X6h4posfKjERUXGoXavmPcPv+eK9z49s1zGX5NRbKDiHGEE56XG7fF2+fe7CReWMxppNeO4Hs7o71Zkz/ck+d9xZp3ZdozIRixDN6JrkinTPxrvvu9fe1StVy4Ucn63leR7lrIMoYqlZPpFUi7R43z335+FJxsDlixEKYntSC/weWlJUKdFcGgJrMMWd/OQK+XzKJ0WlpCSxJM0+K9O0SIr4ia3JgU0OO+iwurV20iCp/3cWqP3bXXFSJGlStq1M8oTng7goxyek8dHM53KilpOQ8Bw2C+y6OKj3gMQaNJCU4igjtZRKBaZqlWqtmrW6+rKr7+pz1z0j7r172N19e/XtcmHnww86vEpxVSkX8054IDPjmDQ56NCWzVq0an5E6xat2rQ4om3LVq1bHQHRrlXrtke06dC6w1FtO/ItvclBh+WSBBdh08hOO9g8Y8OdgTODF1OfFBuJoGhVYKlVAGhGyuauTEQUHoxhfYXUD8tSRTwUgxBaHIIRSizrOQ4RUTBLvKDVk2ccIrd3oZBGkTqKA6HQYeEMOaA8uE9kRwiVjRmR0YwZ7hD+k90hVM1iFJQigaWKeMKsgMySRnGvIg0V5llzsUGYOVeMXpzTeKq6OYTzRIUyU0Wo5n7OC7uCCjRRwrN2QWsFFy8lkm5r5BNR4QgZ9WDmoUQQQWDqXlyUK4HNFqIqSmZXKnKTQJJog9Q8FSrsfDREygUyge5LInTOeM2eFzVnOXWWgpi8Nt8mN4ouXqIHc1+sQSMGN75hwoUcNR/ieAo8k8VSsATN/BGLEGtnKY+IGPjm+CISQ/w3qrFvQk0QqBKJLcYrmuxoE1oEuBIWhN6B5PoHTaZsYQFfEbclMysUB+YQGCzaMLIalpIG4a5O/cynjB7RhGQmbmuGtXt7VRYlKJFKCKF02/btm7fzfSCaI8fQkzKBrCuTe4RAkrS8PF9WlucDI1+e5stDmk9D3JdAb0RU8Y1rpRcSQV1hSqGeETVSUw2puHsIFnN6yeSwlCejpValuEql4soIye4dofLgLiFgDyI28VjGoFiYhRDMLGYTBEJG0PeDDEoSVZUI0cdt8QgO0ctEUoFDYcFSX1Zh9Saa5q1xoz12a7h7kRZZ3jLweoltQeNWEbuQQEQB4VSgUBeyKSAFioNLUEZ/D4VlILX5xeKCWAgRjS6pSwwWDzOpQCNQABBYAZBkXDAD3TKE8rLysu1lwbcJl+jvdrwU+IRNIC6kOWBVVpaWg6U+pnnChNQ/s6KFxrCQIPsbl6GAQO1Aob2exkJIjYNJXNYnsTL80jStVFyya4NGVStXQ4UbKkowbz6kC8gqRjOCsXaqFmaazBEigLDF4vIkSYTMNF/9nVkAABAASURBVD8xdtowIl/IB/KyJ2LK6ixISpdCsAyChRAk0hA716136IGHNmrQMF+eJ6Q4qGiGzsS1UJV7pQRK8+4aA+AeUvGyGSktmKaifGQGX41AIs8bNiQMMW+KxCmLnDkZa8WAsDGt+dNHlaVposJzVIGcEhJaVCKUl6dl28rT8mCW0B58XGwGb6yZesVYI0LYHQirWLsWNZyIIsDSWSaPJQ5ImZAQpJBSeOdAJsqgUmgLdIZKEij2g1Ess1JlVgReUsAJhZARyqVeB5bR0/1VUGBaSI7cxJNCuKkSCMQfMUhpPqqiAN1EPAJEVjhaX1BwDmMwHgj0mCknCAOvSJBwShCSvCBABkVYxceZWEgkFIW5sfigJhFI4oVk1qRFDIpxLhkwscLmRKmx3niMSe17zOlB7gEQQBmVwDEZSQQSOdWYOA3BYrwRZHVRNgkkelSSEFDcTCz6ks7go4SKjWj4iLApIigEQOiuQSJRECJH6BIoL4fCoASjGAyCQJkijijjbJIFijwhQDYCcyEy8fzEZzJjAglMZcSFjncJS0CGKTIPKdwtCIiLhVRAfIHh2MddMfoqbkBvPawKTVL1KVK8JIsYW+KZPArbTugQ6E9E9kKIpDG6MakqAljMQLydJgZyZwqbihC0GNbtOQCuVY8nRjVEJx/1uZiFpGap8UxOedJuKyvbWsqLPvEdVcSXoNSWBktDSPNpmg/+WMsH7PP5NA9Rbtz+RMiXp6E8n5anqNJ8aoa7X0JeHg5qqjw4ciI5VRVNVEWUR6KVbist3bKdx0gIRuXuE5tpdA4TBXLVqlSrU6tuSVExX9MSXJNEEEcUXkIJ5ZbuyhxRHDwOOqOVJiHN50u3l5Vtp8QULdZZABqSsUb/g7FA32JOCdVQvFKIxIdhInQQ9Fip8WFkfrbMDy/BBIgTB0aFlCqMapQLEcwC/9K8xeewpc4hwwiJpfmQoaWwyvNZqDEY3/eQUKFxOAIFmdMWCKqS4EwK0BxEoIQSKDgWVqBF6L9JMCKpBQnB8vlQXpZPwfLAz9z5fDCcRFgK/sppFQCStCGkZgGQNISUVadCeWneLG8hDfiGaGCCn9JCE/HCmAgoFBG4jLqFjRCjgT7QpSgSCDNWpiZOozPlF0gNJo6CwMPhhgEMi8HFfV2s+EaEMbSYG6ZUoEgQsBFeT3AjCS7DRCIYDlHMkAkhzDIj3C2CqjthG318gEfjVMWliowQiA2ZT/GCVpoZnaOgMCDfgVEEFyMwe/WEguW8QXhAxJERIZxfiloKwM0QKdWCUCMQN85/CyV6imRTpqQ9KirxLAmgWkgkmV5gTf2kKVqE3vi4HkFKA52nSt89N2CLY8Em0V5EVRMhi5sKgEHUuBC50B6kIlgJQGhjIiK4Q2d+PjR2xlQhFJukQGDvLBxCkIWLC7wy/FAjjKiiDjyHIChIFXHUc4wEWUJSspgygNn5w4rVGWrDhiPlI48dWqPyf4CFInMPdXsIYYZ2N9ylAlS1ghQoVQaS+xhjQFAMXjiBgt7Ez72vaodnBYHWSeoWHJ0ULQAM1cMS3XY4q0pSYZkRqvAqKgLBKMo/cVCjYZFD4wIulaj1Ej2uVyhovYBMI3ReACRG3YaF39FIQBgTlokr9yUUvWbXTLjj6TkWAu3Tv2cTciDWwiyR8FOSyU2QiKoyKzG5xCEToN2BHtfrig1xaSxXMTZUVGu4w1GQI1pzjsv1LIiQLE3EXeKgcTRBIRkYXhkVRxNRiaAOkTKicYlbohcux4IUEzwQIGd0Q0Q+0SSfhPJDiKdCqMa43MDz4MiZVicFX0VOVtOMYEfj1kUWlahmURQQdsYKy88mIhkS0mXuRPQKMEQEmridOq8SQX3mUmSujUK2OM64Z7OPaEGhMhWMhXCOFbYIERGeiKCrBDNvGDOeoDgwh2CBOt3G8HAptDfTSUQ+IWGpActgPOpVsqia6eKoarCGZYwmxDKnkIhIAGAjwoqY63HATVQIpyb+4msiKhEMoWBVYFUhVLCHyEaYSPMUZBbFOohTEIq7ZxMR1AIQmbQBK2w0AoRwqcv81oZQB6kAjRo4VSgFnBZoEY2jOKgmqpHNRpeJKMVH/KfQVBxMWYJgEqsSCssIOmxsE2p4TLBWrLhUBJ9s0IzECsJFTCjBfzAVMhehUXEgqk/ky6ZIKFWiwAghDCPOhohtEnVWJNOKA3n/JaTPIkhAfAy1ZKAuiSwESDgTFxbUIiqwKg4+mhNcilh99m0UcxLOkDKB2S4KPO4izBxYRqdEJQrNRETFgd0RBSRh4ocHpNyuLlBIQagaCVL5i4HT6nsqIk6LayFMGKBV4iARTEQlgurfhGoFnVQQCiRcGeJRIFQqCKdkR14VcVRPoAopDOogDgobLz8mTogLfC+cyS7JQEUiZr4+qigYBwU4Bqri4JOKikAQWKBEOB+wQvuoRZiVAR9HJ4MTXN7yzMI4xNjAUJDxLos/lpZtE4zEKzNBIViSRfiQ4CHpymiKnqc1Sm8Ck0dySy42EC1EPB08bDH06G4lDCrKtyYIAsHjKTy71OK7tlGeF5apI8UaBPCwMQwq2FiTuKcQT8iRXQIoF1wc4+DFRKJCGi3MxfGyuGb/0EBmknFMvuPRFAk9h1QHNOaRDEL48ImhzVwdqN9VrMhEkAh3BK6UC+OoDL4O1iZYGg+Wwopc6iJ3c1rNmIyynHLSMM5mgjsNE2OYmSLCO6KZN41MUZ+J4khoDL3Tbo6HClYF2ihSuHwhRlj1yygegu4Tyww5JioqERDzHoTYMgEUTq7NBB7ZBbgpgXyhiDJbEUQCrQxuYMwCmCJR5ZEgKo5+b4pL4TKJiCggDh7XZ0FELvXJdYogoqj/Y9C/WSgCYqaFPJFUlZhL3FIVWkQQqijVMDpqBURNgWGXYRVrE4FK8PVdi2p45ZJYnTnpYti/0QX/ujJVJoKG2DFCFFA1EqSEUFHn1Ke4TwWtFEpXZbeiws38UhFVBgEoi1FVXZQotDiVEZFCJRXAJkZZDO2UKypiq7qXRvBtU1g/PG4jAiMUTC+yKfIIIhpleJWYOe9eSMS3OKb0Y5348XVfLPzuimdOdgDxXEF8z1sQIwEzBgO/O5mwsYLYs6DGxZxUQET5J1DMjII5l4/qc+bJJsNQAyxjfA4JesrNVGhBJOJiBg8FywRyu4kIRLQX5DsiCODFKELQOSdFI8BGjBr1kbqpASFdUwBKBAWYSATaaG5CndggQrVjdKEZfhCcZnNX77JCmEUzU4GhAc6KxNpdFS/ErEEEC4IXLFwoAKw7Q7G7RHG54o/QVS5XozzkSCNGGQdRkZkKn1SMGCMPihCM5SHVTOwStBQQA4iqS9CjZgzq9hiwQJdAEbqQlPji58p1XNHSl+GGLC9OvjOuwys+e4PwS5Er/RI+ityAqLA+xiIMGXmNBzJiCoXhtzCjHmwErQlVYgbtOqTRSl0MA8J7PSoFUfRNTDWuiBktZ83EQQN5CWfiHTMXMriaiXSkARHH5oToohIZp1EQzUxh1JQssLhlchdyRS2zVBTsNBYZiuIobuO8CkZGBDEKI3VMZYA7oURuFmkG5XIzjRL3hHBbTCKqYpJpxVNgjxVhMVKiKQIMhSAkFUGUzRh7KLf0ZlAQHuIsehPCwrsnbFSiyhB5RUJR/vnPB6oxq2dxn0IcJlwQ4AJCRwkDMs4KBJtCz8kXT5BRFYFICXowMuPlIvQ7srJSQ+wXIYQaMk4iGHIIQkEoGvrvMtwRiF8IfUapmDFhLyxBGHxSVShxM2YYyArkk080USARFQjJAIF6oXAKMDmqD2YIQKfxqZiQoPZRCYjUWDUSUR+c5xIJym/K/FwsvFmRABnnUDITVSSZM3JRRaw+KYtmXxFCiYowRRRAqRwRDfYRgQgViigSU58hvU9EoCQRWHEwIUYkMINUjGE1AoSIC+JWIxLCckGphgRKIJlMRBOldSIuUWU0xkRURFShnRCBRswKRUQTLhEqVBXdEblAIMHN3BSdCLwAqhknGa8RoJmxjdJE1G2oWTXRJBHAFGAWQQWpcUoUEBJGQsnFBSLBLgrRimZQIH3iymQeRiSOJoigFU78EgetgBgNxlVMIGrGzFIFEhOhWlAEgZg4+BhFglAAyhTB3E0kAkycRX0yH1XFUby7okwCMAtaVQjNjgE6TxBjsmy09I37F2sMAoZQPrqVa93SecSw7oIDU0RubuzM42ckVhm6C+/lxMTQGXWIrpkBYkOuouoCH0wYXWhRZsiDr8cYomdwJyGm32ZOuzREPnsK4REREWo/+0b9WItbCQxiZ6NVNvBY4qMMuSMZxKvQaCqAuVhEHSSjBRmxnUmM2pxg+YXimWAwBc1VhiszchAGeUQ4McrLEAvcoFmTovIE5mqhJuK4C8tC6yPWhtBUMXWVwKlr4M1rYnC5+UD16NEK2uganaEQRwOGbLcwylyQuD5ODO4gwp0dixRXxVhQkhGU7oT54GqBAp1kBW5H7aFiNVETTbxYKiduiJEKcXCAJy3lGDY4RzXxqBQBnGEEFiYoKZC4odZEFJA4qo9ckmgmEBUFGdxMVEQUSJg8iopCiYOq06Kq7usSUR+zQX3i0ghegQqkE6ICwqjEQQDlqsAKmrgemYeXKPlZXKwAmWKigHv4xNMNiXMVF9L/I6nQxNnVWjDQCogaGhmrUhWNArNYgGWCxDKp9wvSC3IrM9WCgh3hl1YXChULgIRtFMsM4LBGjMz4S71T2eUGUWscN9dm4mxEoZwzpgozEW9Kpo1PqACt4lZ+X4uoryUKY5nqAhURjJVFGYFMVIWjRSGBWdGKJIkRGq1QhCL22VmSk9IsRCeXqpAqiFh0FBiPCmsA5boYGyZ4kIDQIDRyRhAWGt8CIfizyQlZ3J7Y5jW7pdPMhgUqpwxRRgol0nmEThEkqojpEiYkQqlOZRLNIJohAV3nFyLCujG3oBHXVNlMU4ljIL/5A1KIiaGPTH4KsRC3oSQeVQijQCL4l1H+6oEQbRBVFVqPikbRV4SoFJ4JFI8TKEAEKohg7VqyuZvBimUrMkGIKcbmhqh4GhhiNYKjJILyjQE7fNT1CLHx/0mHxczKkRBRHKKbiARlEGNjDEsR4xegaAopGBHTR4tm7ulyNzDXKjrqVONrvMeJl7lKeedDCY2xN4UpogcKwghmPSYAZtCENrM08aKIYTRXhHOKH6GU4J7PJECJ0FnDhMWglOgbhDrdzlzEAE1EE2YshOZAafD3OWNv2SgxEY1v80E8H6xh5uFcizrBxbJYbhHi7ewt9bIMEXM0FQfDU1wYZ9pNUIqSDNBmhFCSsTYCGzkwVlE1RcalAsAyGhMhsFELvlnqdijEqzRnCEB5hMBWRAVIFGAWYUZs4sDoaHwRdGtEKuojUlFisBPiRSlCKqMS1oZSMTOKCy7ncm9zGTXwVIkSH6iEEIYapZCaCAqHRNg1EhMvLoVoisZZVSckKIAhCE/ay1uEAAAQAElEQVR2M1H+mXHbpEJ2wdPlzD4FDFyiEObZSSainETzcxA5E0o20+jig6QKYIanFECxRyekSNX/FzvY+zLwoj5OI9ENLfcIHoqKCQ3ihMlRNRE3j5e6v2rBjsjGXYuVqapvjEhQgQYJRBQVorsW9m80NH9zOGRMlCYqKqLKZuEr8V7TUHfXeg322pmf49VMRQUMtALad9dg6Zs4oGOCg1CDpAAfBRppRFVWAC/0JQh9xACWaMihHTH0SSRRzilNAjMByQoEBWIGRhPmiPQj6vUfkQ1vwpMELYwbYAwD5btsGLPdQv8wCubHz/DwZIZEPIU44Q6+X06bckadQBjDqbAj9EjctaCIOoa/MQZEm/WHVUiUYGBQ0K4gHiZRJpkYiZcaYKMZPL6uw8op72TBx8xN5R9lsDpzFsMdaEa5Boi4L2E4T7ARyeOzCCEj4e5ZNiSuZaFGo9wgWjGoCBjLE8CwxIVDAiMxPcdZNRpFkQ+Y44oWa+Hgi8+ZIgi7j54gvjX0l94kbuQ2JtxV0RAzIYuJBOywESh1LU95IsMqV0TKzmjFQ4RR3EIBOBUHNSWXy80NGKhADBXedANt5BCIEwWvyDKocedEa8rHXAgS7dwWwmLfBIBIxPeKuGTENrBcfjFkNBNlNQEzMUY3wwChsb3RSxhdzYWBiHkM7CBMBGcRAgukGT6UidhUneDCmlEMEF8gxj6T2CWQaNkwkURRRbGHgyAkDmaslBoZBWvRxEc3RU9YEVZDC5wTUfU4AribCI4SSxTBlowxolEhAvdS06jxQdxdokQB0bhe93MCZ0zVbShQBQ+vxAlot0JC4CBKDTTIIKQAhVBwrsjyUwq8v7uLqqiAXowHtVi9mYgktN8LFR9U/w4U3f1NGCOQQ8jo0ZVZTbLGBxi/45IYGgYtK7FAKCJDIqN46ICHU/7AMRFllYK1xtcFr0oipJw7EdwpwFtvwj0AIUKtlGeqCp2hCu7EtdgbsjkSmXBQCDMzCFgQVmEqEBahIYoOIhwSUiOWwpQFpuzYrDhTV/TAQhNx8Bj4InBOMqGKZIhTgUBimas4qCInAQYUZJgrn1mc8UiyKqQSITEnszQi9MMQSAF4LIpvA+oYKRNXGGjcancPHsWVqEDSYQ5R8KUWV7pYfKsIZxSLQRSLP5WcQhhc6NuHjXt7HLoSJ9chNkOBGaswY8cpwDBB4jHUkzmLyrxAdUaEbcZaCMR++OT2XFGIlNedmDb6i5caGDAQCdg4EkMiKIuAiDJxXxgwGjNnkkyLL2+5OzTqHcXFi3TLHRftEKGAaGmqhe2Xf4D7GIOvisk1tIBgnsmio8viFUVQLF7cR4iohI9riYSQTQD1UJgTR5yUTIvELKDUwqpjFIsjXhK9NVHlRBqgqsLxym4wAbweBbK4boZQkHoVmDqHjpTIOJu8ABKdvYL2qqNrZpSNIZtwRUVG83QuhM1qxoBdFNYoWDln6K3woNHCzSNmbuWJIQIzVRHAV0Qp8ImogsrNIEQCcRHZcchd6BLzmmFiQvcQ/IRoZGUVaNzKeXUJjaTkLIUZTgwg9aTcPoo5Fj4SwvtsaFwS/MzQkhhDyMGZcj/UBJN/AvkKJXiMqIk8pokIKQiTENsCYj+XrNuIGwikACk9oxdvfmc5LxZwFKE/sKBrcx7fnVgdk1QABSTwTBGxEk8rkZAoMw2pm+DpiFqNEjCJyGIpMmpw4gHu50pjBbiLl8cMpl6WOrifGRT3uEjcXDU8PAuGQgpxsIBNFKa5JAoNzlOR1ND6EvGT4AOXut53GToLQHhT+4evYWKeN5oooykgxFAYXzKeWDlqwBIpaCKqPgcPB+FdRYiDM1GrpCI8dCxIAPMShSW6byCmVy/ZIDhirpJD7igA3WPLECdExk7REo0doGoczfASXM1EmNhYoUg0IrAicAygxWqIK4SJMaHNvZjRZ+gKMhldi5PrghcrVB4dcXch350QgTFCJkRegSKszlEspULl2xX3byINdqvb+D8Nk5wXQwIOjvptmgjhVYMGwmEv4sqM8OVESr049ChFogSBRNCsDXgRB8zKoHlo1ZXx1weywQt6EQlo4/JViUUByEhaiE+8HVLDAUvQCS40bkwAJlIxSnSFVj8IbmDyNyiMu8eqjdjRWhKev1AShHWD4hrBlmhC2TEAMUXURzOEIuLRBchmg4paWMzgJIYhhokRHqXbRDds3CCbqKpAuMyvjHXPeLqiiD65K1Gc5TLvF1sLmSHR0Xr9bhgzCl0otNRtqJyg4o7Oqg87IuDrfMVFPuMgeFBCVawFbQzCDFK5ccACMbAr2MSoIsp5wZSofobF+Ocav38SJ0Sogye/AGacC2MfQViQDmYeiSVxRchEK7rBszELUVCxIM9j1Ox24qEQiPFsDhQhHisIASJj/vkRKByCfqiD1y9ZUEHmdsz/xCSqLWooICM4M94d7ELhoCgFG6sUw96UkHRJQmFllOjozkjQ+P2LRKKxAO7r5ZLHragFFSOMsSGGScSsiW4p2bpwDNTidiL4mBbkZBHhrkdJUXgYl+dVxF6gYOpuGFIUFK1B5TGwjBkZQBdy0UkviEsk7r0HRC7m7y3+6MAN3hIiUoSQ2aOKBP4JKT0WqQSlES1gIMKAHLFirLGdxk6JhzEAAzF02BEDAzfl8ghREW08Dt3GmKokcTMID4wrFqTDBHUgFhRbKVRlXopxDskboAMqrJWVMHl41lbRNAKiFm4uLE3Q+goscSGvNyRSiedfgoli5lV6JTBGs1UEPQQ8WgF8EUYkkJvC3DGynH9fLykESxUvjye1uguh3NCE8PARg1cr5nTBRlCL55II0TbT+xqjzNnYMxGqdE4iUL0YH7ZCOcR1FHM1lMehO2K4GItF4WvwCV/1lhoErnGEdoze5IWmPGM1IrQLVv4ByBW1qJgyCEEF0+iMWewzGkhUZPKxoFS2XDDI1PyaKn8DWSwrWZRmRi+BpAIymaiquC8yFQdzE0ENoaiZJIogKgIpEpD2ZSmhwdggwmFlGgEJmBCl4EGg2DAPj0YMAhXdgIQRGCLBeHEFBmFcKCxLcSsP42bMTB5IhIQhtkVMiSpA9hCOvs4hFhV05r2VCJkvJO6MIMosLPQOuxgZ3+hMAjbGjcwHjFixW8sOX19QlMSBCvDFCMIFJI2WIqqiAhhTRhicU1yZmbIcUgipuSIyeHswNVUMPa8qhIrGU0lZXgEGAhgn2R9ZCu2mEgkoCK+IWIopZlC4YqYxGwUojCN6d2BSjVbRQIUjAEUUkOOFnlrNvdRjuqtHtJiKeDBoXRdbKqqZrcujGg9DVkFTumUil1i8002Uf4FEXFHimQ0zwZNynCpcCAxDChXCFrhMp5nXjjLN/JNV3UwimCiz4iiREsC4xITE5ko4SLQJVCYhSrYYpBDII3L/B2XdLINEGUEg11kmhzRKNRbpU2Dp+JvxWk0NkoVDaREkA88LRVlgsEJNSIQ+FAw1ugugWjComFRVVFUEpEL5JyhCShUmr4f4UFmFyJQlxPpjEkOlUgBUgtYq2FBBCWLOZaHK6OiRBVBqNOxcCJuhSogPYjjkjKL8q3AR8f2KNSiN4vKkHoNgktHGHDOqqmi0dfcYjcGIIfh6ZoXYgYoGhiDR3Ekk7sGUhckUkXX3yEYDBmKxSAh39CBC8nh5MSKR4xCJiGfCP7gLDGRUsvsCUDIKCIoEXevZM627OueX1yHkdNPgiuhmSJSoSNk4RhH1TDEF8cTLia4KB0NN8RhEmQDZ57sTWBC3oCAuDogzRFdQOM+eWcreOMYeKC3gPiWyeRkWkpDg4rZ+EZYpajyKE/CF+Oa17hAhVIoWhJRANPHYPksEyk0CGjFnnRBaKAx4sjj/8IkBNJMhdUsuShRAVTTeUwqBGCSWYqfIK1YjgoTAcaQeZWmYCWZcCNwNJZPHZe1OuZOoEodKonksHBWMCfbMNEahjDhkMyyZYBxNUPkumSo25IkJPQUaBaKVIfXLLRE4yQRCCX4EJbF3HQZ0sWTvABhl6Fpyi0ViRwmkSFSJ71bxTdeDCREixkqMW0GyPO6nir2jKiOucRSjfcJ2xUkAbyGTSGamBHTLeGlcKr4IhQtnsRwE3upMIpi4RgDLdhkfXybVRMMYtlCbOgg+jj4jF4HReO8IgI8gEEC5YJn8RCsznPkcmwYTDbSC8Do0AnJPTxmxGCwgDXCFX04WREZcjEUVRK4ijvFyFrkLPDiJVFEwO0tfxFnZAdijA9UrNPV9oSlkIoMVjE1FxcE8gBPxwpeZ0a3R0GJ38g7Fw2AsRTLPzEI5JyYSNEbDLs4ihlAczN/DXIjARNVJP5tuqkFgVX0wN6ZHQj54RhKYuQ6NuVpV3R4LcSq4zHVcLgvZrE5btpWYkUcQ+RUnugHGFcJTiUfReBZxdJGYBC6iYYUAItaFGoHRByZiUGLBDIsCsiKU4tmIq5TPBQUKYOKSqEWisNBOKd9wPGt0FuQ8NbB3irRMYkFUYu4o58wrAomXocFbiMQVxIEY7hn3C11wVw+C1jgXqN1aUElMSkAz51SI4RETD8NlMEzRjJIlphQHpQtGGJdCIrIKpdFReHciIC9bME4wZehJ8VUXcqmo8mxUVmKSmZso/6jGMg+FFAx8yiQ7RlROqxaIzIQURttYLTy56IWP1JRhSJDgR3ywwjfRLAkKCBQiKgglggociLVm3hol9IzZaRUFIqPioCrqs48ZIYFlUlPETKSqAnJlo8DipALhF+11WuOsdEoAVUqISxJRiWAQBoXKdZEqqDSqfK+yvG6GCBO+fzMql8S9NolpnPc4mVAqhCRU4b1UEIhvc3R0Q7oEDaUmDjBMqoUZWsTvEEYRidI4FGgRYWEEYVZRFUBFxTGWLB6X9Ehc6xekoINUzBRaxJkKymlxA1Hx36gEoDgTFJAiGDrJJIDCxwQWfXx0qYv8Ytv4FDBVCC9G6ZOoCjWriEtEnIfBFYqxcCcTj9f32EqckWMoEVQxdzVCE6e5jEucYQYhDRMXMEEWHlwiLjJBIoDCZSSdUgSOGmNFMZlF1CG6EERFkci/IROpq8jG70WqFQYxDIPRDiblErfDIjaBXDxp8EJIc7ASIFqhEpcKtuKVIFV1wm9HAcgComMERZQQUgB3p2DnYlZFC6PqyZwQBDAiko3elH+kEIBylCMGJQoUPJ2VzIeRgnxxUcgQczETiRHMCB+J4JMIhHhY5/QfJQughGR9rnIupmQpCsBL9GV0dEs/QyYqCgqAKaOjMiD1VQm0QZtAMYgqEpWsdKqPKIIAhYqDwcQZgjaIOsRqXCrwOImDMbiPqhAQxNxHxFD+waqQuGLIMTKDhUSGBwKIDFXRCCtiAmPlEmWZuTi4wmNlfYZjjzUCWtIy4mOKhtlHJKpOqLreHZmp3lzoWZBjVIEmmRwjR4tyF/mV6RDBRNzhu4MQUY0qyQAGFhoiYRLXR8ILIIXzoqxbHAySE8nENQAAEABJREFUJ48CGSuqTggumgF+EILCVEVFoq+JSHaYFIAWAEr9EUqfrWAVgjOGMqK701ARCND7YU5LBCTkhXSCYFAVSCN5C3GtGTLYzA1L0CUaaxZR9TrFWKsf+wqtfxaIA/Vkk6DyWHBaoNleT6GIJKoI4nQUuE0k4sAq1Ik4uI0LslncMmOjvzpfoAirUoDoygC6hTAUdBqTiyuQIlTxf1IBIRIYgZDZKKoKk2FBhIxGuIh1xahuU1ELrXIVXv9C9y2YudxJFxHLgyDCKbg0LsbosqtVVNiCmE5For5gIBUQ9w6h85GmAmydVfdQB3GKwacYzURF/IqEqpMijCYVEAtDA18RssIMEY84UVW2BCo6QXsZkRaNZ1XFPyMUI4tZxSFjJfMVZvXLWRG8OEuEUIlgovwz4QXK3MIvgxWpKClI4PMHkW8Axj5RBgK3wUzEC1RFER8ZEFEioqASBxYPMIsshkKAAgsFqsbahJ0R9/RYWRJRFUKYKikETjUSxFHnRERBhOKgqkTCgSnyHkkBUaVdylIlGmAiiQudUPk3YIufa4Qq4MCChZvyHcx8dgNm9TAFAecctsIWNzqAgFFERQSJRzQtAALEiQAG4Rh8jzAS5R9dMkxhoeBFkcZLlNqQ87bJqAIvKHi9gNRsjQoIgAGjqA8U7TPrq1C61oxPIicIipWa20g2wovHMwdkbpZUBJMI0TpSrhSPrMhU1IU+wCpcVLuMMgw+kspIKtVIwDCDEMIexUOudJCcqgKKRlU2OG38fJIQUcS1Xqu4GFYcIk0Cp/+fF4/QaOCuBIm0W6k6yRVnlxQu9VOKvMCK680ZBZhRqSgEg39UOSWqohDmowLihGQ1M0UiziKu5VLsDU4cDKmIS1zMCjkOilD+CVQvEvWEU8UaFkEkBDCuiDuaYVBuyIwVRwqCOxo62vnsF46gQMak7uG0zwSIcnj3FZeJEKmCECCjPQSMo3sxWxShNR40Yrj50uBVOY8YQLIWKoI2Z9RUVBUWNFw4HmII2BTVghyVQMKqqKpHUFGXinN/EzhSqXFh4yovyKCjCQz3s0hUI0RRGJUyIgdPxQI46/Xg5KQrXOpZubBX8QSiSON6yArJ6RPso9R9og3yAsZont8NsBP3N8MKoaejEndz0nVu5jN3hGBE6GggKnAqgDFCi9/wLsRbCwBpquKRGdXB4/rMhS8qV/IccAZOBIWjCG1QcfAVEUkzDkmBYEJmTK4V869+hj+OEoWYgiYZR2ZfZ8xlCIPbKAQoIoRSoRgkJs64PXOMLUB2fiAkngzk0LEtzEJSFcC4MhWEusgYfSY2ChjGrAi34DK3YEZOchWOCFEwYRSVbHS9eutNRRUOMY7QWFAqBMIMNWNUVQQUAifQZkSGEVWkXO5GGBcJkmwJ6knEqASZS0VZb7TJBvJh47S6Og5iHscfFz7j7VJCGNVmOuQgXqp4gUI60Zgss4BHTHQBoq1pxjkDKRL1AqgWSAPgsXDCHeBAFf0/gDBDFSmgMidc0VXoEpcQyie/VFFmxZlGJ1UV8SuO0AJkvKlDIF52XtVUFG02eAoYS0RVVFirkI/2qMJB/40KJEZjQGxAy2qKhuY7QzQm7EB0boxZxCyOaz0Nq2HP3YTTy5RpszGGg7RoCKHKh6M4RBWnwyLBJhAPq8hhrhWAraqAIioRCpPTqpqwBAoWiWI8qUcAj4tKEbuaTJAW61cYZGhI6+aIJf7gGAmcRTCWCsBeCGd0lil7yGuFhRoVOGcKJOoZGEB3JyAIhVZIC1XhiNwkmuk/RjeQTEyJ5tG43IAXOIEsBOHIxLIQiSgggJv7kiAVFy5GcbVEgOPgBG9L5KnIZ9wElWRDxbOBXPE/0pD/C9HUhVkBRINxIXGYQHhCFwiJYU0lRAGEiKgmDEKFgpSJEYqRICIZKZTAVUBVtE6rana2JSMscxFYZRAGJCZoqYJzjEAIZVyqMH7SEoFwKVeGdAYCKSjidpIBfEyh4v8IyaS+0a52u6glutPYuJhUOyaLC8cJOxMFRIkS9UiZXcQkWW/Mp6igdhFViaCIIc1DKyBBoMWy/mOioq6DAmMQDkkmUTQgcreBI7KZUJiHwMYLQlAwELdicKkoCbTQcGcQGoFVHBQJiIkItKDxSYWYMR7lwXg6ZcbPXBJpTDBDCgre4mBekMYBMehCt1QHJ+LljLoWSxUFSCHqxkjEqchAqQrlGWlhJDZNxYNEQ8S+IIuMlwcn/oxSERUcs5U7qYJXLI1c2LsrBsRHjlkhBla0gRF748kIBRpxlXiCYZxVeZcQwCMS0GPAEUSxxRqKJIidxVoU2tFpYSFkUYmMeVCnCRBUGTMkCksSQaIm2EsEssFFCSQi3QEChYDJe+CUQJsSQeJoovwTwKSCII2hjAofElKZCiODnwhVIwKMiiq3juHrWjVRFclQYAwpK0OO0FXBxCfE3J6Zm/wNBqmKO0k8AyxRzLthEh2V1IikoKVSxVwqoIJR3SF1wi9MCkJCwVBCRlhBG2VIQdJHruAAvYNSxTxzRAw6raLiKOogRBAVdWSAZdMwM3VwVkTdhskl0M6Lg5tJFCLVeMUtdd9E4I2ByW3FP+IsCwRvpoyeyhD67CzqyEba5b4XkcHCUUQB10i0LVAw/09k9xBSUIbQO1z4kwhCJPGGhHRMvJH+v4pGXvjv7cRE+ZqFwnfSjSGFM+Ifh/gElNjg4MW5MQXHhbnIL7Og6AwIbmkuhGCZxu2JOJPgJ6JI/H/wmjmI+OwjBIgLTAHdS7O7BDKqqF+EejEVwhGajBRDfhHh9YgR9M8fKURW3wVM3B4VGCMx/y2B2SHEDTaiZxX2QojsnXZeGTChR0gMJTUg8wSYCatzV68KBaiIcFH6gQLKWxI589C4EscD4mLiVk6o8OzCmzTuBSXeNGaXoEUqYvCRyLYyZmIdYLyXPRORsSCwjx4ZpSeERUUgLDkPXpBHdrF4TRRiCmfk9XPhMi4jpgezDFJSsgraTdjMHiILxlqgMTb+JJeSzGDVdYKlIbQMyMJZZRRPyEBJioMKiSnKW6qqxMPGa+BnHc4kkaUgTFCAqvDMppxHEpEPX4K4NYFQ4V7olVC6h0CIigKMn/jNgsYJreJLK7xWD+Gxk8Ay8BMjiDsH4lnASbAkeSClCC3zzYLwAjVmpyb4qA7i/82MCAFIQXyCGoBe3UHEcymTRIgqIvts4i/DhIEgglZMSDyKFmYTOuACE/OaSeXeKTMhEXrWSEUtYlaEhaNLCA0pAq1KJRCUKpnMeREimJqqc3RD1QkiE5XcWJoE9sUJDayIHERDC0KL8g8SNCeNNkIX0MxUFSaQmVzGKrwDLrEQxAN4FnWCsoKxEwYBb8YQg2eEb55LiIQZiBl9MnjCCVNgRuKksCY4wV+tUICqEybmeVmLCLR4cAuRlQwKZuIJsdGCDuMg/n8fJRZm0BlB07BCC2YBINBCY5BKUAfxg8VTL3g1fvANgafworGjFnGADBmtoaKqzJ9K4+aqE5jhTF58giDyTyxYUqMqODojIR5bcZuAihYQLjCJAyZMzrnOoMG4IuYKLDSgwGr0YYDIRBAeITLQzARjpJ44/j14s1mdT5g4oiMUFD904+sVaBaMQ6fsorECt2cB2Artw9ipf10m0RMZtkZruUjv/uwUYkcclWjInfPr/0fJmUDtdlb1/b/Pd2+CJEAGCASUMDbMIIOAmABBDUMIY1BUdKGrulyrtF1d2rWqVVctqLWiCLUiliIIlhlRpC0UEDOUWQiBJMyEIVLITQIJGe+7+/vv/Zzznu+79yI+d5/9/Pd/D89+nnPe873fvYHIOjeC0yYnu3LCdCdFY21l8CZoSHLLXhieThCAqhQ4OW3uArZM90pu0ZZZ8ZAw49jw+FIHg87KXQqb3jc1NUGs5FXpjSXAueEPuQSipfYSvfHRVLw8iEacllkV6YROk4EbF4IXasOTYzRyeXgzN5CE4U3RLHOtIDTLbDI5jk0EJiDI3vDMiiWSKil/FVHajY/khOZC5BEeCsqQmdw86hJIqr2OiqAIsoHmscQM0RIZBJWgXJgjdbzsZUEwQjkX8lVhBSaKcMlLii1n0oFYB2+Q6lsSIRYlAo5PB+dGNSRis4lNwkrhQI60LIqwspSchDzwKnhvk+oyGzksyCUyvVOqbUiBRmprpLEoIr47JZRzi9yo1sGVWVvHm6ThpO7BDU1hWpzis4LGGVz+ieZOlfarXkVsT177IGFz9CRHBy3iEdFuwGska3vLzMngxMjCnwcJJou0UNAEXBDrZej0ILEIrWcdCicacTDK4EjpzJKiiCKNySchjT2TwEK2PFGRXMKy2jPlAP5BhoTkPPByVzd8thInE4cimk2bdRkZ2G0H+V6Hi0ddsdlwtlKIgSvCbTtHCc60jZN+3RMU/SLh/9orqi5eYjcYEoBSMCk6Y0ZEV74dKa8l1dETKt+1oFYSDAmVwmS2gD0tV3LIi3EoqIWKTkYBam2LDLL2yyoEwCR328iRmMWPFMyNG8REJkdBzYI5xMy8NoHsvhyZkBxBGaWm8JGIgyxz1C68kFvQ/B5NLstBshACQJJ7Esw+eqZ68uwsDuIwQh1YShFnSRQE/U2KSVyJZvbdoQ5LaB7sCQaLnLCjLf+AKcTThMfNYAZDzNzqlGnySijsw86+7YZEJSynJAWGGBEDdGobjfG2UDcrjO10ALxxsJMmrKe0xlU9KyLYrdelrdiWJJGYReYkRVGYNIyWiSjFfXTPAZUUVfj/IcKWtiMYBAUB5dYGIqbsQwuixWtFgkp8CoZEg4ErA6DAxMrCAMysSWxiIimC07NXPA+ZxPdDvcMPo0yiBMeKRoRF7dSKi2B6E5kUYUoCKEumH4NgkAtBnL1MKdH8xBIhglFOdkiGDciNQrxAE9MCjaQmtHh5hESAJisFAzMzTFNZjFg2gkGX6UWpOTFn9av0H/gMOtlIscngbMXu+DYfHIsYDki81MDrnCAi6BZnKFxEeFh3gkGin3/hsyRN040r23QoySyioC4FebOHGKRzDydwoEhxOLyjIUFTEqP01mhZhARdZrY3ygtJJELDUxkAhN05RyzI25ZTIAQiqAKiK2IMqtgGWoVYXCzChZOOgxyjLNxGrQvJsQY8i7KBkc2x4JEgs2oFOoPFEGgeE0nBH98ZouSw8odEdmL3Wr7dGTQQOJDquatF+mcEGCFA1I66Zw5LGBehcrAOlMVLeM5gAHBZIsD8zKEQUoYJgIWTt+XLS1RV8yItGDiCgkyi9SmEw4pZEkgrb242pIQCEQ+1GFElFXiwEGyvBGJTQSx9+6SquUgeGHO4g/0yyesyBzS5YvL2iRQpyXFTIHnwxLt+E4xkbAiTItm43RGSuCJQpsVI3k18E4IhoUqLtextg0SRFMEzypLBEEsqVE1u6kaaCdQGFRHOZl90RRi045nsFWeNn6p4KQldQhmIILKXdToWgtuaqlm1Gc0AABAASURBVJKBVHVEREQRNF6zpIgZ5QxmEnuaxopg0iUFxYJ2SWMKUVWQMGLYZlIxhKiHOwxRLKIivKUIXnxaRn12yklFx9vDHj3JPD2X4C7OKmJ4PAnDEXZw+dbSskvAmmCyBXQN1qjnpzaIkaJIBMoBfRhTT2J3MbUrKzfELEOpeB4I9cA1aqjniJrDg5AuSS/T8MOpfBHiT8Bzs4vtRRQMFEcUAR8ZPSiCmcVJnsTgpYJG7EgRmhFM2tnwQUscFl6hCR8RZaGSHzRUJCDZb22Q+9QMO82UqrfG6WSBRWn27FWDsUnRJ97kQxEUj0ARFwwJkqMKQGRlgZBUsGZlJaYwfO+mNsSYgho8x35nV08pCmbiKqANOxrnRmRGbHhPGilJjUgwgLJel0N2FfITV7UEJpSwDTUnURUJp0R6dSM+cUkCLEVwE02reACcQEApvFCMo1Iw5OH2wIHbEuG3gRJMPL3UErDUV+6IgrSKdqH5HFiihJYJy6hkGujcsYuIou01YCfauBxrIBEmyaY6bYW3ZiaIR9rrE4jUQXLxBYPQ5M5i0S22JbkdYnUY9QjRmV1ttqaQeLQmlXdSZdS6RlPWOcBqmzuxb3kkLTFTsrz0L79+iaSZ5Ed5iH2AXcqBXDwhaB6F9KV0iPAnRdkYwYnlM4GJfkhUIyEjDX2zag6FkECzkhjlp0D3CI9A4y3Q+RIZiHrMZFtDezMDMnXZ5lL8yYgquOlJWRYdErxIx7cHMgKIADN8SFSNUNhOM4ASzqHOjaqhcKTYkkJTxCbUg1tl0GsY/dOvJZeaSBfgtvSBLJoO2vUdNKUI49SpA1hFsknEBDGexF7MdH0JUwwS0YvsLjJiqEB7xEyKjodBlMIMjYeVABhr7jtTJgpxJJMcrHZpxsRkBmbyEnR8xNKg1sO+SloDguXsClyAZF7bQUWWYDOVK95SPrE2iALwgUeDqz0gPSMQPHToyoXI3LBgJhNsHQrBLJd8mJXySRRLHeasARYFxEh2V/tVuCMYpmQqST67aStpsUHxKNgIYllDwltzFcUDY81iZsob4WCtRnuh7Ydf/JwOppdzkfomZmMDqYyIAhgmmTqcMAoiBDgNR20TBpgy15+ZmemPFr0T51LhBhwY3PlQROCQ2IFzFXyoDUjfxIblxAhoyAB6BSA5LmZLESF+FikDR8U4zpeXEZXpQfi0GpFEpkpNGZH4fI2J4pk4MREcCKCFO4wLoUn4Flxm5sYwEfrHC2gBk6JajS/6EhlaBt4Fxyb58rA0HZWCd0lYB8N7h56cwRJIWV6A3MalF09ZKO+c82NPlASgYS14ptliRlgFEt+oYsM0m9YODQ/cx865D9tuUtsawKkUEh0ue3LzG76WbZKeE49F68G6dZfXnLOwk1USpWAT2CXYpBS0wmRqDSB0UynG9dGmq2030oLhpTIrvis0qXldsTDGIhWJtW4gwiXrfKjhiMIVxT68bwdQOWqf61yCENIkx2iMSQoGulyuR5axIZGsQi2AenCnAdzZcBBwyNrautI9jQgmSodLOaAAXPBwJotZKJIbvzkMsj6VnE84hdm/9OAgByOzWawFgJEOgYxAQVggWdxodUG2tQaHCcvFzyl3hnXEtn7bnbtE+/EIhjhjHlxth0NweCqHC/Ur02jEEQBCIwDLjDh/m3VRpNfF8sEyrQTvYi1ZLIKQtXjZIowjQZ72Xl15Xl99+lQYcbFkcx9XGDeZrlkk6yWHwUPEQyUoZCkCJrylSRhA9JDjWZcXO6SPrT50Wg0CbbFcdGpKPOH1uNghbCc2JgzgXqADyLSV9i6phLERRxFI0YHYreiLl8YgxKA9ZAAmXse1Mor4dtGGAfuhLDGiiheTFV3YD7RJGhMENl0Rz3IkV0sOLa9fmItRXj5YeFgRlwG5TF2kwKIi3H2QMMfgohjdARDqkRe1LiZAfTmPzlIAxEGGprqUw8hgDzQy6iWEd5F8QKqy5KXFYEaXEMHXJmK7EFwt4DnZEeWALMiTRJG0QUDyDUB+c1QLkDSQXtc+4mBKiI8aZUnz1iZKExr4LZyxpO4KW6xXAkCaMaAyoc5ipxDWeL3wsERhmxSnNdVwPFFiC1WVKviKEdqh8JmQhcmnT3cDVRUIywlENBopkAcPHrziyis+/bnPfOkrX/r29dfBt+BFqHn9Dddf9pXLPvuFz37zmm/alT4LAGtJtZaImgFY4mfrNw5848qrDpQ11I033nDZly/DoPUbbrjh6mu+SRjmjTff9M1rv0WX3qJEechaWhHBYotJ4reu/eYNN94geTnM4Pd0dizCByOJFETS9TfccM211xDmVrs6rPpro9GEz/P6cqwoRsk1vQcfJnFPxMrsblbE4SFh67KFaWQJNoZETNEnYnTEi0jkMG7YWXx6FeH9UrD4IvA0Z93Md9b0Pz6l4VbJ3xNP7T0Mcdz4JmcvXBO7Nb2tiXSYOyuw9hR29LpyRMV38PwZkj9nrqEeaffcxtK+P0Z+wDpm1sFHK0cuKcjsqXn7tPlZ8tpFL2rE8yKAGmVYpANnTTvlcnBzBJcUXWsUIrNof3oGGFsbbo7CyBmeOybr+1NjNCt4IdCQbSSE3xxMh0gHVf2GlOHoGlc0hC1ftt2DAtKG6lYUKhVhhy+bpHD4XtmN1WlDSfabUVnajiLxVjsrGlhsz5VWC2EfRmqhhd+zxmIuYI40kS6bnD1HMPO1XBlJEwXsXa2S3LfmS2PWLLmaetTWGrogJuI6xQ08Z/J9uEq2vV3JYTiKaB/ZTQIs3J1tl0u7eIwjuB0G2N6jJ66lEvgIQuLwsNph4lmWvkaI99ew07wiLZPZrDW2Jw6Aag4oC4WJLiFhZRXl0s0tOW2290h6CT5SAHwoVBLouWhuD1O1QTsCuBLaLAsXUtCqn2GcBebvr5slBE+dGrFAhQcYwUQALUtGm+i9TGw7wrXkRgRlLeTQ/eKQQtvhn+LpvKZAe0CbaF44eFdl4OoOOt3Ap8UjZnp9kVRmhRk1aG27m3MYF+fV3KK72+CNzf3P9OwMdpHCSDKyiMoYp2qmvGSnUOXco/bsZfFmIyo3OKx2kOsyV6Axp1DTSDDGjUWf6EUqYbEA3Qm9N4CxjDCXsbnrarKrD4ePqFJgwYM98sRahDtY/SJnfUfDexoWP+QIMcHuNI5y/OqueYyU4eVuHKY9YucwYElW2LZ8KoqxMxdl0NfwVkznmi/T4Lu/KM4W0HMu1bAoYDCTh7wlg3PyryqE8qAvYRwMO4Mkfyt8ssxyxFuu0O7A4e9jHkaFoWiGs0xWHctB8Liznp1c/N0oAQZ14Rb/GtGNtTbPgs4COoBSoMWLExM//EIWYFni8WfK39QJE47gYWZj6GVpAuz0hafFh7fw6WisdMi4MEFUQx9R0gviZUKL6KQtQ8lcoCmKaB5zSr102ZQbIYpU1SSPKJXkITz+tp1oGhYxWl1XHDjwyte96t/9x1/51ef/6sv+/E9f9McvOv8D5990003zGeTnvvi5l73qZW/66ze97R1/86rXveqiSz5R58Bj5iqcr6e63InXE4Df3y7+9CWf+tynqUN8+fPKq6/6u/edy/NDwCcv/eTv/Zff+/xln8f7hS994XVvef2NXtSBQZHM//f1r13woQsINlUXkZR96/986ycuuageFeJweKNMLBQBg6if5Zs3mws/+bG/eefbKRIMTRyI3LFjKgWq59hSEcYs5qm98pZgtBpZYStiwA7jt7mlr+FYpkNvwuwiN2IsC64lmPusqZf4IlCVAODxW1WbHeU9nOJcTGfSnoG8L18RncsamOIsKYsAAiJgvivJzClIYE5K7mkvPKiDN5j4WyWWyORZ5qaYgfT9qf2m9UzKIKwc4q7cqbTxCk2jo0lCWAGNOMcez5jUcQxuk6wlRQClwp74W8x0DBgHvS2uCAhohawp4l8CZneEvZWJ8oZsE8iEBdgt0BDo0bXXFSb1qMyHu94HlIIQpp943EQTCSH41OqQ7OQS50kdEjMYwOAqYTMbQJAqZrY58TeqRKoHvyc3GHrxpAx9DQ/NZJeZCWFT0E3ReIXSKl7rjWdfjghuGmGqogRuuLBLE+MQyrPjOoZwXdy1Ff8wYVmEQAUzRUaio2GLpAbsJlBQQxaDHKgRDyqhVs2lXERrZo3HTU8aq+ChqGrGkaxrOFdYReJxAK2whNGIgRhlmOb4NUls+FnfcvQPQ7iFFLxGvlKbDD7r22CzHGKFgTuRmhRhO22al4KHJEls4S7IYfTN/aJCPXCqEUms0Qg15MbNyZ6Lkiu4yOTbV2UqjLVXMQRRRx44PNWVhHpZrmQ9ypj2NBZXRIjNmvZFFClhKPvw1pLNUE6rEdG0asI5t7CKadiOCjMBiEAZ90XTCG0iHKHJIMlBqzuDJ4M/dm8vCiFl1xEZ+SPDDB9hJaqwt3EGtCoYEU5JyVisnCyJYEaQBWUB0RtigysTpmbqONyuNICkJBoxyVRCfARKXAjc8HY0rmZxSJsQD19BboXLRtjtlAWU24wUEVwSik2K2xXysHfuyjYXyzVDIIBEh5NRuZjJ4bI7xxHe4mq4ygjxJ9g2nQVFnCqAwu6oqdaN8lA9HeXZGyHIXqZZcDds9/AmK2TgCCvmMlizowxwECSOCrfkVepHnuSV8QLWMirjreIkUMUBOGg2M8JJtgrYJaJCfDoWL7UzxQGIkVxgUgyqcqhS0CWqAVlzqV0G5SCrTvZX6Wx/RMhd4UUqgLkEumZU89aBhYPe6AaNWVJH5M7KoqSCkyIAKYrwmofy8uXKCAWJyze8ETAOTWmnV4YnwSbICTXVsTQig0VG6KCYfIbUEB16gvGtrDAO3F5TZM5em1w8oG6M9kglEmqWCMeS0gQgagCaQYNrjVLYLuKprplkddoqyjsaNK8Udgq79WE4oKd2OnfjPkyS2bJEmY0QN2GhwhyXZ9oDOSeFXWGbXg+Tv2qxJrPWAhPM+SI5kzAUGa5ld/5AE+KaxfGszCGdsCqIA+EOUhYnP3YMKgDT2NN81bdQx1NXVV8M1kLU/2GTwn4OhimoO5cKRiqEpGqAaxYe7x26nix2dN113/5PL/nd33nR75z/vvOvu+G6d733XfwT02vf/Npz33/ezQf9X+pfceCK17/1DSccd8JTn/DUp531lDNOO+Ok296O1fgnqdf95evf/Pa3HLjyim8c+MYln7nkXee+6y1vf8uXv/qVv/pff4WLf3o6/rjjjj3m2As/+fEvfvmLr3jtKz78sY/s27/v5DucTBu08A9f/9onP33xy1/z8k1urrzqyo9+/O8P3nzzxz554Z+88k/ec+57qH/u+8572Stf9q7z3n39Ddd/9KKPvvJ1r7zw4gu5axddfNEH//6Df/Hmv7jgQ+ezr5sP3nzhJy985WtfecEHL6DUwYObSz9z6atf/+fvfO87b7rpxsv/4fKLL72Y37U+9omPXvrZS7mfpHComeNUJroeq5pcAAAQAElEQVQpipY8Lxd2x3BMkK0BLZh8R2m81dQMn7K95I/V7O+HNwxZvabdinBkN8c5UwnaD5rK2iSml1CNLlvQimhPR7jwTlWEEgA2jhAL388f7TWDRrwME0dORAnBi0AsGNBnRQpf3jE1hcIzBTzN15Jl0DlBHJcf+REFAeLVDQcooeeIdrTdmH+W9CNtiogq6MosH0EEgtmHRgwYAUTg8czVjLpdbll9Q2+SRCTCwTCIvqtBPMKh0hMVj3jHI1avjJw0eoA1H95O33qKuCAVBck/xNdj4PioJeqVDYIOcWr80A4C1QMES/EMvzsIap51MqPwWgu+yLXqgC0T87EXNUX5W9Os/GPHreJlBW8NJJiQ/9iAj6TZzk1TUSogqQSDK7XhIT/05GHC0YTUrGBAlAH0zKNIGCLZ1DySojNRXju40UyLucaQNAMzJJwcYT0YT5jsx4jT17wiu9TuSOLMzGSva1LziGgTvf3OWs4IuEKiRj0bzVibyqkCWHXJ1BhsIRjDGtMegpg8WJXtd/0Uj6WCgmZ8B3u2jpybD1aNQDmXyVKmw+aL2xGBZ7alaW2yBMvbGX5KATxi3KqK4RZALDICZ3vbnuRwX+oRERKiTomaeilgl8VdWBFArQfP3tokrE1A52JGOCvCOt2zOJbE8oUfCwNgSZ9lGq2uIAszCENASHR9zt/AdATn4g2QHpThZiidGRJCGAJo0e5BMjK4IMQwIoQIVRMVk4rBkEwKJlDeEVPzLA9uIXxSRVgbEMONnklh0lULuLMAFEEAMBuulRDcFo8HMcklVy4SbuDOhcRGAJYIIUKF5sENoGbOhAGv0PKGJqkdHLh6hP+mny+IvG593MqK4TtytaLVoCw+GkRGlVpd4QG5xEYZsM0AINCS89iVATeTJSIwqawaC8BqbC8GEs4VWdymqbA0NYkXoZplUhBRC4IIWO8lJ1LwIQDOirwWmAEoUogGqpYWF4XLg+K2o4cQSVCw3CC207zENFNT0J0UMYneAhXyyGBoMgwzrmmjAoopS/Z1BfljQW8bUauooXToIAyyakbIPzQx5WIhsihhDJTsN6l5OCvdtsqnMWg1GJn+S/2uPzw1jRK8mYePn/J8gZmNGP6KtQrubNYhFDBVF3GhKKhgo8vdZN1mc3jLWrABVySFme1kQowkWDFcjVtnM90a4bAIfsfySizam/U5cFYIqKKJm8VHyr2enBeUIyv8n6SHamDWLFwILIGqQQqJmL02QBmQElHM40nDKEaM5DequYFRmY3gcG8EhiLKsuIAPPWV3khBAoLcZBYXQnLdyqoc3IX6ohWKqIRSwBZbHIMnaQOn4A/fNWAi4rwPnv/Gt77x3ve698knn8wvQi/4ted/9OMfPeXOd3nz2978rWu+ReJXLv8K/5T0mEc95q6n3PXrV1xx5TcPfP5Ln//y5V/56V/8mRtvuuGKA9/4g5f+4dve8baf+oXn8FvWBz7ywef+i+def+P17znvPb/1ot/+4Ec+eMEHLvj3L/i1P/6zl55w3Ikv/tOXvOM97/jLt//lwc3BkDgyfnO78uqrXv3G12w42dQb3/bGl7zsxfe5933ffd67f/cl//nA1QeuvOqqq6++in9n+2+vfvlJtzvpBb//2+86993fOHAFv4bd8phj/uC/vujl/+MVf3v+3/3hy1583PHHv/w1//33/uiFH/jI+37rRb9zzDHHnvv+c3/h3/zCJpXavOGv3/DCP/r9k29/shQhBrdhw4Rw0HDBwLCOUAAVEZOMAAjUNE1oBLMxYC24JBPDiyHVndOOfBdZ0+66CJRQ8xJgqRNVo6K2Cq4NANJleeggMRGDCAOukqjhNQqgoGPi5B1mHAYRQYwFSsyh3SNWA89iGWvE04lWY4LmsV0xDckFWE9epfdLIAw4I8gb4qMLghWKCACnh0YiYuKKEH8swSA3QjCapkoN48BybFpFTLYlBd9aCJJH+CNkIJFCyA6dQEpqwMcA3EwDGm4g2BJMyJAJMcIADxAJrhIYBIhGSBE+C5caRyhqMEmoSJgCVvLAz2TNRoKdsOXxpJFQbSv4o/7Mg+b7k5MiOjciwPQQYRCMacLlrxgRgOS4REgsQxqmJLzmQWANnjSTETuehCmJ1yCWfM4Z/HwpwaqOd+yPCNaKVATxojQ+IpIPKg5o81HDAQuoMDNbIIdKwV5ID2ZvygtLCobVjljQgXHIUA18ZALxc54ApwV0QdmShB1jTOGSEAKJM/E2Y1KIjQSEhVhMo0xrjWDz2EwlGQoJuBMTGlGNBuj2AuQyWA6eQqypiMlVd2gbAqlURU0OL7CoPQw1iQxFSFSQ+F13igjiM4LJRniFJKa2lnIX/TEhbJEIwstagConxuC1r3kQWsvZDt6XEgxxktBIewGINEjjiDZUIyKYE4VI46VRZDCmal/BxCFlVFDpqEGpDJQNfl7uyIYiqBlhneGByUMKwkUY2thFgz6NuUrUH4VwrpQs7NwYA4xQEx2uUpesKUSQtCktkRvoFp4eaNZDDxaDNEqZqotQ5r47AExkAWDHe6orXCe4oWUtKsgXgfaqhmPS65RFW47Y8OQREuoDJ8beCGdGgIPKQbBxmXiYLTE4GEMO0CwbVjGzVz0cUigCD2sjBlxyPKZ2j4jQDi8h9WBH4YFVsdhAOZc1c67jkCiyv2C1PcLUY5omQEiIahDlOQRAupqZujilmveq6sMkKT2R37kwDbwWZ0iLwaMxZYQjbfpXw2FgFtsFiVOFJW0amCYyA9oUgIwMBoxwgzDlO6XuFkZskymo5/9nV0NWiUARk1OIxvitoUDMAy88uokFYBZmnSigDpM0RaBjDCoSAzEEeqDV5GMp05miUgD4gsxvNJJNyToCWssIhtgWC0ZoG+B9Rw2OR2NgDzRPg4klFSCu4Bw0gAIC5ccravTxArtngOQA7R7tbY6Yfq8CFmYBgwzFFDMpFeR7gRihsERBY8BeIWI3Ne3Y5oPcZafOCz4GCdzhq2wIrzDIRVS/rxvwOROD9XhkpgjaiFDwkHFJsSMe1gwxUMEAlbRZUIoYhxDQfB8hY6NgYVFJ/BIXyojEQlfMjoIcERNjKJL+MwgSj2gFq32m6movEC+CFxzyH7myxKZhAyYIUE6Swk3QgDwIkz2E2GTbuIPvLW7bjAMUEW99+1/93HN+7k1/9qa3v/ZvTrnTnd/5nnc++lGPVujAlQeuuvoqRUw7+/iXohtvupFH9xOXXPSec9/74j95yate++fXfvvay792OfLtb1/Lb2UPe8jDnnPOT/3w6Y97/A+feeZjz/zZn3zu5V/7Kh0gCv3b5/3yY0977A88+GHf/Jb/B1qs6x6knWnn13/511//ljdcdMlFNx+86cMf/fAvPvcXf+gHHvXcZz+Xo771sbe6x93u/rQnPu1/v/sd11x7zYWf+PjJt78Dv7yddOJJP/a0Hz/7zLN/81f+w+ve/NoLPnj+k898MvLC33zhS1/x0ks+d+njTn/sU5/41N/4pd/46te++vUDX/vb89/76te/5pef90u3OvZWtTTKT0H3MNGiJRMaUGwIgzPKIhZQPhRPP2LQh15hDk0F7G6JHDYupC2nd1bpEVHVFgxgZfRWIjSXm2c7w2q+tXORILmLs1gBGAdmdnxj690X4QuxjTSVWU8VAYgJrnmV3hdEyxIwFm12pemfFASOVQCk+K8WQZxiJolRT7b83DrKXmYk+ZeDDXPvNbNymJLMaojquJNLpQgkyJAiVMZmUYQIEvwQgJQw2a8Rm3JCgbVKTjpEkfJSrxYmgpm6rANWoDpgBqZgEBjE4QTb5s3hSYS4utcd3ggFDRajEPUlCNVwTnJGxYcCstphdoIn3myeqGav1LmNIWsrKKBF88AA8k5Dtyxfi3EhkHgB7oGukjviNTERvOlhRn5k64CTG8mNCXbLhCUGYX3gpCEwJelOI3hVy/mq4VgOI+uMpN4F3auGvQ1ULsLCIc37YLAgJdyQ6x2pBmTNVomqYEjjMsFjri0bcxVO/xsPJR3rS2x2ODILVyTdYhakG88VbOArbRHAxPNtAIPY5wuGCU0AAGGLiGpL6BBfM7LWqwJsW7k9Qf3jI+m6KhokitKbnvBk8MOHTWy0GQ8e22gZpSu3MX02IKBBaSyEIhQzKJIuzSwYsKQDIioyeHAcGWzJPVVKGvkihxZLOw4QlQAooQ6ztS9KIM6zRWTHpg8PFpKnlkeNFJaxrosTxSvifbczJD4IHdCL2gtJfjVDgAySjAIouUj6I9PkxnuC71TXxklir04mPiSzA/AoXINlmwp7UZQjCPGKcNR1Np4uVcD8uDJhBv5Hpm0g5VmHcCg+y+KR40pa8qpsDVdyIckeB8TifPCypCkuhEIIADfZOaM2oyb4XbNjSPLm5UWJMlUPaSbl1QPcAO17xLRLyEOoXnq4eAhcrCwAQoC/YM1MzbNK9ld4KZHZKT55MFsu/1BLWAPruogkYts6hujEk4I7bUBMCEsMYxaKwJ6XCHgLJKyRT4hIQ0rDU7JumFMIj21l2rVEhCC9BWJ4/sXuffH4eKtUC/yQBNKAvBL3lJXQHHLIgzCkEXpgskCV1WQtQ57nwZSXKMwWcERXNTFCDcdFwEICMNtB/w1as4EGkmfCCO7PHQDTLB16d1iE16KlCGjvWgeHWQ6ieRO0y+37qrMsMPNEOZoJZmiJIppHLTUM8xG4h72aYsYUqVc8ZeumivCxae528nqW94MbiQjc7gggYEhoi++dekAi9WoXB8EhiMFCVEC7OpOr2OvQcsjr24rgp8P4sDjQyTxEzvNFOyMXh2XEGPrEMAtagUvArpxeUCxURkwKnhvVaJBgilfLlcgZTHCsCxp7nL2dQo1JrqeI/oWARFJo09onSPZEBALjOkxImMAHpCRGxHj2fRK0kiINUr5EwCbEL1GnfN8p/M6zf/9Rjz3tsV/40hePP+74m2+6eXPw4HU3XEeHd77j9554wglv/z9v//uPfeQh93/IqXc/9YH3e+CDH/D9hD3kQQ997GlnPOnMJ93+pDvs29mhXZaepp3J/xsQHx0mnWDuTP5bbrew4emGw9OStzrmVr/1ay/g39b279t/0u1u/7FPXPiFy7540cUX7ezsnHDcCd/61re++OXL7naXu57yfXd+9KNOP+2Rpz3z7Gdce901l37mkks/fckFH/i/p97j1Dve4Y6f+8LnLv3Mp957wXsfcN8HnHj8iZd95UuXfvpS/jWM39ZucfQt7n6Xu9Pky175p5d/7fL0C4OlU8EBADShgBGcEp2lD5p7xtatcUJAEmKq7JUiBnFI5zomazhhVyBFys7tLSvbigxPXDmHgRF+7uODRFiF49vAgnaFLQax5bZq3BobgHRXgGZW74jRf/NSB467yHPOkiW1fD9l8uhSRke4/rGAVe9jTQqZJBHBmFdXAdFGufm80DN3DcbH7sk+O6POzQwWVRIbyMAXjQAAEABJREFUXwmqGHvr4lCJKjjq4G8Te4DVlDkaYXkil9u5AMfakQAeK3SLbZKR6qFJNDvZc95kw1sIRoy4XMDTwhTo4MBp8SE2M988MobAb9gtqyOVi4MkdAsBDdALBpBFXTR8C2SDraZy1ywdQUY7ic3E2xZtcVJbrzjNrBTOU7znC0ucPWjdHZwlggMbPGsMRGylOKIuXDW3cpSPyDFcTQ7tggMeYariu3yxLd/N7/LuMUIRMbgFlL3kNoh5a91qhXBePorGa923g0SktwRAHBNezl173zhtmv8uLiqsbpYTJvEpczG6ciFDzZwYvQjA0l6jbdvULKIV4RDoNg+nV0Xa7QSTPCMkgkoz+3hqISIqdNs8sX7qiOQESnsewDlOrxx2VemlxNbwimDzNYfH8Jqg9KizkAbEVz8OcRVmKuFxMBM2R4luIXyQ9m8j21uuoAx/vd/M0DHmMdUuKIBQQlFuSIQtlBBZlviR7xjsimJGGtZyWC3NNbZee2N+SotkQ/NpuAMH1zWM8cwU1WoXk9wu/0zJeRADRCNEopHuhmXAfcBzTPL2MCn23VFaBn2CiUQACABpgN4KbxSfCz8Ps0mHeXmvyWXTJ4jX3TrWcZiIkTMdYDyu4RmWpwhebwbLTcFwmC9g9N7wUqq57gHfWvC2CegwTFrELIDaiitQkQb93YszYqIRKAu2VEoemcQVsBpXl8Xwp4mkZMwnUMc/9wA/hOBZYID9sgLskrlyx+BaOoFBYJAFgP+p0rmtl9y5Xy23Y3EZpCLmRrKIuU8b81U1cSODKoTiYfIjM9jVVCm77VVlMttHGMIJo5EmF72EwbASmkhrMVc4EUg9S94GGLrEYbUiFhhdFnARormn1gt1KBjPFEt4ARZmcgoFOzgCpqG7GmhFzkzPzm3UmjpIYxYpwF5pFrG18s65w0MzZqLfUYZsR+tunB9NjByqIebH1V53zm+Ki6t3TUgzVduVAcUw20kHNXWRJsWT9rjTz7jPP7s3LMLvJGeecSbmw77/oU/4kSeecNwJpBx369s846xn8FvQhz76ob9737nX33D9E3/4CWecdsaznvKsy7582Wc//1kp7nbK3U5/5OkU/d47fR+/ie3fv/+2J574uNMfd6973uu+p973ST/6pKOPOnr/zr773/t+973XfYmMYDWd8r2n4N2/f98D7n3/5/388x7zQ4/5sac+a9++nXef+64DVx14wuOe8OAHPPiB93vQee8/j67ueue7feozn7r6m1ff5la3edTDf+j42xz3vg+/j39S+5f//HmPP+PME0848YL3n8evUs//lec/4sEPZyPnf+CCiz918b/6+X/9oPs96JynnPMzz/6Z+9/vgV/66pd0yJjci8RhsYGI6FsbPsOOjZpwittXOHoU7nDnY1IE3bJgg3FP2zOnlIUXKTiKgGEQAC++qRbz8plAN5G28DpmjYWznsgi7dUYYASDgmjyMdkYBQFsHkCysZhdBFLuqN4a9fMFU/WXJekXMjVMLFfWoosJOJRZk/b6gitJfySSnmSgGlNpd5IgOim3WsPgscOoWl3qLaBd7G5hDOZWjSW8+q4HayMOz+6zfouzXeZcuQirXsKorow5e8xiTly+2MN4NnrjbLhpYggZvvUSK7wrkujZRQOLRCyV5r9zIAwhfreQEjzuTLMXCEMUAN0YgMAga6ZJ9CJbbzc6l3VATtl9seGN+DsbqnFrywXlUE9QQHxojqoAxeZUh0f1DIKf/VhbgdwaMzLJVWVn7jAzIVv2kODFuwCC6Y2Wgu7rawrbxIvgqh0Ib+Gh+EYye0XuYFdrLV7AyJ29bJkTOjSlGeLXYJhMlc7cuQZ0VmuDaZgsANq7AFU85jwT7VZZnV1SBIC3QNIhGTaJ2iaYwOVpvjpsrfG0uQb1EUh+bq1I3tjJcjAIKV0ZgNkY8B3Ee62meesZE5reETNbRrMo1RAwW0IfUZJ9DifVqisoM0zdzPYYQAjOzLEuuKTXMsxks/3SttkX7pHhqnKztuduIbUMSASzlwDjRtgUZEvXpz0Xrh0ANL/YskD4mJ3XKVudRc6fO3hyEUGXi3ULonByJANgOEyKORcgsV1oxzBhoqsMTISm8EbFgEeLl+5G21EsyjKzUcNMZkE6mn3bOWk4xB8CzdY/qIsEHLVCbPgHYymJwT/3jEUCQmVoALolw7OZTBCAR6LDbJaX43BJrhHTLH6xM1KSw7c01HrwKxN1S+ixV3OhijFDr9ilaTMChS+ZaATEHWUbgCGsAQq4TMCQFcYF2WFEACxQCGGb7ACsYGH7iMKyLC4b5W3ACRAIRiP9KGK2wCCNF72LwWDp8vViEGUdotpdNO3VrD1dLeS6CHiJ7wDreVH6t1kXKyBsDossMAJe0lkOvlMACN4hVdAMV2HCSCSFG+2YwPK858qmS4P5ukiArfTuKIZ5JGEdAlL+0FUMUL2uzaRezwauaesI10gdOZQljrQGYEtWkJG6Gl8kV1ZBr++wCIcs6YAIMwRFGMCAjyR8ANrVp+eKZWflsse5A3v60MpfitJzPm5S0OXYpdwEBI999dwmeQRb+id+igYw8T758U+5/33uTwZy6t1PfdbZ5/DLyWkPP+2cs5950m1Pigj+IuwOJ93haU986jlPOecZZz39mU9+xv1OvS+/Oz39rKedfeaTz/rRs05/xGkPut8Dn/QjT5oUdz/lbo962A8evf/oO9/xzs886xkPfeBDfuD7H/aTz/gJ/nGJlEc+9JGPePAjnnzmk/mXLpa7x93u8fAHP/yofUexyuMfeyb8Pe5yj3POPodSTz/rGSTe9oTb/vSznvP4Mx5/yp1OedZTzuG3rx97yrP4De3JP3rWs5/+7LPPPPtnf+Jn73m3e97pDnd61lPOwfypZ/7kfU+9D23T7dlPOPvZT//xR//g6fe+533OOP2MY29x7E+f85z73at3yruTu84B0IUmFGdLEwigzQZgjrG0VSYnBnDmEgBFYkyuA8DdwibtkiJ4SU9LvCR4UTddp1Na28YhYSKSQZM2o/NMckmoaK9WI2IbtmvR4iPsjRrkkwdsMDCTFNNmIQ1ix82GcyWIYGj3+G4YMkYYU8u8ASx7y8wYC7ESpDSbmmJ29dYi+LFROQRhxIiMGEDziBhMkCJZJ+sMUkcYhO3xjMW4fRrp65itNxe4qwDttr3cuY7rIuhuaJC0WdFtFtTMySM6vKCVtpGzK+bRLxQsAkM8lMwUA4YRO8qxI8wIk1FjbS4YsEhFOb4ZzAaL7pvV5tpr3gfBtwnx3QIXwh747NRGQnx0JJdONE4g+0ALg0u0LWYsi2QsSEpDgEoWa8XZsTbX2D6NUtIAewIWs0Fr6fDBsBJbFGOOZBeJuRZcyB6mc5vc4zUJFZQiKrgsZvdeEdFU8PwvNzqCo4aH1MyDJzkY4JuDexaYGfqIt1hOiNpfqIZDDT0vRIFW8EhjNHi5R5gtTYIB6JbkzOZWmxGmUMF6ESgxIgYAf2epekE+YIlsHBEwEdYAS/0ENVhdEQ6IsDbtFqlXZheSONLeII+vY7gqPmbAvEeiBoX6HrXX8YKjLiJuQzQFLInY2hGHwVBIxQ4VMYhgSBj+L1MiJ78keCfwHUCMcjJbwC0KwgfjSRDBECPsirCGZfvF8QrszrGg7Y0a2Mx7NMcVFQKP9JtCzjMrxvoZjYCNHrhWsuJcw2U19uXG2GuMVP7mByvt5MGKmHIn6hD8I5HfT6oo34uCXZCiqAFbsxUYsV/2ckmoWP8i0V5YPBKzj4WuxB2t5wfQtVgDYJMFmWbhibJLCv8JSYEKhRhUikJwS1qy82yakIT3BYwIdMmEjmiz9MDQijATDAnEbFENUH0FshE4FathcrUvTJzoRUiAafHtmIObWcIaQHYMJnvg09EmRWDwor+DdHAHLMELwIvs8ba5S0evJvapeUAhWNEDVAdMk81D4MFsgOZ2oJEmGxDTAI0E79XwiYDX0mHjQar8ScQ5pLdgHYMxu7oizEcNaOZFi6feq2WD5pOphJodXNZWuZzICJ5y1SCM3tCkFLFLdUG8u9gy1uSCF0BIF1wzkIsMvheQdvwS4wSHn4/ZQAQgw/BEImIkRYlqpEZce1uXx6rN1tjcAnALJnVgVI/BLY++xf59+yGRffv2fc8tvueo/Ucxbvk9t4xpIpLjwkXMCcedwK8xBIhC0r5p58TjT7zt8Sfi2rezj3jCdnZ2jj7qaPyQRIKPOupoXDDIUplPB8HEHHWUf9EC79u3j9/HiCHr5NuffOtj/T+swrzVsbe63Ym3Jf6Wtzzmdife7thjjoUkhpr8W9YxtzyG3GZOut1Jx5YXhlK3P/F2tz721uCj9u+/xVFH8+xA3uJ7bgkjsS3+gkw9Jr8Bw9vkFlJLE8qC29N8YSJYCvKBzMEwqssYT3DZ5v60sHbUkCYphM0lwUnWbK+XXhjNY800nj1yZgTNqsbaC0agW68BuKVdrNvmogeTtGpuDjsISF4MkREK7WRoGTGPZrD2AEzIRTD74TOoCxczusXeQpCKWin44cZe6Y5Dbbp44Q+GZIBbMtAho2OgATF5dxw7ZgskAN0CbqEgDHitMb0GP3ZzNANDAEJNdMtCAhBINImqxm1yRRl2jCvCTMTQEaHwsDuMDfrCBMQYhCmwLfOs9pman7rG6wAz2BXKfjGB6F0CFbymar8R1MUbEWgkwiDCGnNPkZgHLvWhRUVGjeVJGqBcUt0jKG66mQhumYG0kRTRWIyIgbfrhgOifKgy3HwcMvAu3Bo3SUEAPAJYC0x7IaVeAdhrWuOV/JIG2BEmYSIGEE/0gnFoWyRqqEanF3TAAnjSGsMahMtGoH2PIgCqq5QUYSAZRAysvh1FSooaom38Fi4s855kQIhqDMAU27CoUf6hIBotoE32BViT4D0kDELYWpppPXiMGD00EzHMqLGQZdl1GKCxu7VLMsmBQkrGgLVoHpBA9CKHNSG9xxg92NQoKw0QNTQPPgOkwOGGS1CM9KgByYzXWvXxUFt+5jO2GKQaRCL+baLMRUHO2J+7zE2lQMfMe8ZmytXbD7Mie94V3GEuF4NfHt2YXykAZ4oawBGmGhw+bEN8DeQPVkHh5M0gBl6kAXqPtAsyWRQBKVxcVMC5LMrvVhPfF6FYxF+z+FGIyDsQyVGRxYiR5iOKxKSzPcdSJCpqAI4k+MdZ1Y8nwmDQFlCJ8XxBNFwAOxGb8rY2K3JHjKBDts1rFEBgKGAVNXrdhmbHZWLAmpawspzbYKud4XcKDBDdKQAEBgEgCxg43E3E0LEaBOyRdjbJs8QSa2bBAGJaA7h17hibY8AOr7XOjd2DEKS5NQAfVoiEX+vFBLC0tZgJ8dKSgr/MqEcwakj2siPVKC6g/ITNYXgGDxJOW2J4rs87WObFKBKFjTUkAsDG0S1RY8ELgF4SfXrlMFnArkBBWAjwFIEzagBwo7FaN9iDMY8k6+jazlUAAAhTSURBVPglpkl0i7ygnZhMrRuAEfAQIkNmuAIkG+EhGY4zMREhmQqPHdlSfbRHDIaET5AxvBEN6q+Hc3gJQCLKFR6YiNFyiQ+tEl2MM6Pii4GH2QQqxAgPZmyLka9uzL75MlvXTFT6zDDDt26wYOJgEBgEsEcgW5rnH+66E1pNPv3sJvkLKxXpl5HmwZPMPh02GCAnSO9OY9rwwi1u+P2bwBbaw0WcNXy9amtJoyKDv0+yxz8HIYBbcaIDqTpcMIu78VovLie0Y0ttkT3BoRWzu35RIztijmlWWmxX0N6R7MTHwbR1EdnSFHgN2kS3tGuXrnefvc1m0kQtYo4LGpO7kSBuzdxixEAjJjNiF1PhQ3VMG1TDRNpEN0a3wOwReBh0RC+R3YxJHh+6AqGLxhXhMOKLthq4AoIt2+YitrxWvik1G6QLFEA1u9L2VinvpdfdFquGKthchZW1VWPVTrTGtXCst8U4LOsiYMRZI4xViGkNaFnMBta1I7z0jPYysJQK1ykSsMEFjXcAJgsuRBkOMDFfBCOzJf7qhJJtcs4Gs91haMvcv3FdjpxJMFyno8FIkw3A8GjMtcBsZbtfc7NlXNdegjrw6BYwwo3GNNjdW5PwCLhOjzPzvE1hhdq7D464EoJrtiqnwXKm7fUNIWd2Q7omn0CvgIO74Cwu1rMNmtsjuKyhFnMBw3G4qY908Xw3KazuHuht7pb0JRGAwLSAiQcbEB8c0NgSfJMAAhDKWsMSwu4cK15NqkGYPTOumThocSEcKT8gETCRaH4mAYgclUElTQKJWbBNOpQmlqzXBQyQXMLARA6ht+T+jNX5whURCQkB4icf0RKQXCa1S8PR1VTDBe0lE2EHxcLkiCIAqjUAWXAD4hB4JLhmaa+tZS82xrV4F9COYdZEWWTwPuOC7Nbe4TGcu21cQbuVY72f1LbBDk7njmBunAjYhuhIg1zkUO8ecm2yEPG+Z0yWXJZK94BS1tbspAf3yx3JJQUwCvLk4yHGoXWRCZlVBFfHWRcDqMrlFxSEYuQbV41SWBYwYWjEdmXCgGEQsLVtLrthQJB7ZCEX0AFttoZpgEYwdwmUVxgcltG8X+P5APdih9KX6bFbse8F+qSkXYxWgw8DH5+Rv+IXBm+tbMJLrWNW7eHi3i1OR1caTPMEgFvAlEXb3HY6WoVvwQtAWzicOZJcGFwIYK8cctMJQzqMZox9yYdSZbtb/4T1ErbajzbRG5nG4wXZDWgeMDP0FliiTRdqtFsv8QtY/J0Cb1AbAUe4CwBh8IDWNnntaHhHV/hwVM91c214a/5M+CKMEBg7nFozdTgKQ2/BM8t4qpTyksXW0EWbn8Hg7CWrhQaQqt+EdSfA11ow+DsZDEDsrNpmcFcKmLk1AAEvgrlHFhcAF7qlMXoReDAaAUTvtNpTHSxnyExjvH740YKfDjf8rVVyhNBiTAS51TJdaOSLMJGNwCDycAA12mwNDVvi7yiYqv/ztySzDC/mn7NRFqpih2qzNVSD1phIY3QLTD0EnrmoCw84jNR/7mK+Gl5Ox0xdh0+s4ORxGMChwe/q2cvW74tgklcBZQ3lhDkAinXRLWtXnwYMH00eWwJy47uSLjuODoy3tAyIJo6A1qtVihiKKBZFtw1YBAbMbarNsCzWLukAqAU0xmzZ1Kn6IactU+WnE2Y0vaFnjL/gUJgWr50cMG1gLmWM55cyt7W9HASgT4Z2LcQh/A0AWuIpbS9VlyP1enSCpMvbnC8VOVueYUjMOntszEUDDhUCDitE7uFhkC1JL3SZ/jCyEVysi5e/PccMsVHOFTqJMl/QCjfn5XQ840EwP18d7CinEsM0SuFqmWOpUoRDnFHGUMSA0MgCwItAIm3yJADaRLfALOIOYFmoqTr5zqoW3QkeQlrAizSD9qGQCEKXu6A7xzKmvnx2mFRESDGGZxnxgbXV66oGNrP1uFKb+fbDtMjt51gnxfNGCEJZJ5cXDN/xK42/ZcXRV3Nb3d6tzYpNzXrtatyexuhRlB42PER00/6hCUDaWEDWTjEt5QNAslGAZSbHDsMc3j7V1oTAlKMUdgkGs13JQ+5D4+Npk63x3hjtEgWXXEZ1bbJ8palQhh3GkAgVSMj+ybL4HQPNRCQa8avPFPV5KqB5lzgeRPP2EAThmkzUxWOBngXe6WbpjKkczC7OtBI8bXFOpFGOJcwY4RQfXCZcCKC9BnU5sq6y7ARAgCwYJRQPXoXpuwwRXNTPxFbiMJG7ByFNNNhw/iCk2KU4+7RAUqiE89pow1k1h05tNnkwyUlOrZ42g3QLTWLOMq+Ad/hgFukoO1irzpY5x8NiJ64R7AIFy4vPRqeIOysGIenLJu1VKQLT7ZeDc9nAuihx7EncDk9O7khXtN+bMbO9VC4ilQTAG85h88wyVMaJFhnEsChiavcluQwBCB70ENeA2CvthV0AmGXQCwPATHdKldEoJAKP3gr+TW5WjwEuTMJaMBu0XkwAwk8dqgNaiKmD7S3RFIDdEcIyOM14qssvgU5rvSGGSOWG57ciBMNtZpqZolEcqU+fRE8QFqwWG1xVzLO76Mt+bnST3A7bfUG1LEch9Tm0H42fXADiXGxQ8kFjstib8rIoeocjpgAzVovDGs1h7UWzm8Vb33rMcc3hnjEPldFqO+jAbXCBfHqm3bHX6xLWvjhe1nQY6xJWHDMfiAqu5iH5uy1YwCLjRs823rVAsyBVCPNDgo1QDaGwxqGV1x1K/rRqGRXmtmaGasRheVdVgeXoGTiYvnE56qQ0HrAqRbAcCs28lebbBre02RqmAbpx68Oaw8VvVMnWvRZtm8RMTEM2RdvcXDRFJP1/AAAA//+x+DNsAAAABklEQVQDAKHdzfV1Zxz9AAAAAElFTkSuQmCC" alt="" /></p>
<p>한국은행이 8일 발표한 '2026년 2/4분기 국민소득(잠정)' 통계에 따르면, 올해 2분기 실질 국내총생산(GDP)은 전기 대비 0.6% 성장했다. 지난 속보치와 동일한 수치이지만, 지출 항목별 세부 수치가 상향·하향 조정되며 내실 측면에서 흥미로운 데이터 흐름을 보였다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ GDP 성장 이끈 반도체·IT, 주춤한 건설업</b>
</p>
<p>생산 측면에서는 제조업과 서비스업이 성장을 견인했다. 제조업은 컴퓨터, 전자 및 광학기기(반도체 등)를 중심으로 전기 대비 1.4% 증가하며 강세를 이어갔다. 특히 ICT 제조업은 전기 대비 15.4%라는 가파른 상승세를 기록했다. 서비스업 역시 도소매·숙박음식업(0.5%), 금융·보험업(2.1%), 정보통신업(2.7%) 등이 오르며 1.0% 성장했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>반면 건설업은 토목건설(-9.4%)의 부진 여파로 전기 대비 1.9% 감소(전년 동기 대비 -3.8%)하며 한파를 벗어나지 못했다. 속보치 대비 건설투자(+0.1%p)와 지식재산생산물투자(+0.1%p)는 소폭 상향 수정되었으나, 정부소비(-0.1%p)는 하향 조정됐다.&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ '실질 GNI 3.1%↑'… 벌어들인 소득이 GDP 성장을 뛰어넘다</b>
</p>
<p>이번 2분기 데이터에서 가장 눈에 띄는 대목은 실질 국민총소득(GNI)의 성장률(전기 대비 3.1%, 전년 동기 대비 15.6%)이다. GDP 성장률(0.6%)을 크게 상회하는 수치다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>실질 국외순수취요소소득(11.6조 원 → 7.9조 원)은 줄어들었으나, 교역조건이 대폭 개선되면서 실질무역이익이 1분기 38.7조 원에서 2분기 58.5조 원으로 대폭 늘어난 결과다. 우리 수출 품목의 가격 경쟁력과 수입 단가 안정화 등이 맞물리며 실제 국민과 기업이 체감하는 실질 구매력이 경제성장률 이상으로 늘어났음을 의미한다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 총저축률 45.6% 치솟고 국내투자율은 24.2% 하락</b>
</p>
<p>지출 및 분배 지표에서는 총저축률의 급상승이 도드라진다. 2분기 총저축률은 45.6%로 전분기(41.7%) 대비 3.9%p 상승했다. 국민총처분가능소득 증가율(8.9%)이 최종소비지출 증가율(1.6%)을 대폭 상향했기 때문이다. 가계순저축률 역시 9.7%로 전기 대비 0.9%p 올랐다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>반면 국내총투자율은 24.2%로 전기 대비 1.1%p 하락했다. 이는 국내에서의 자본 형성보다는 외화 자산 및 국외 투자(국외투자율 16.3% → 21.4%)로 자금이 흘러 들어갔음을 시사한다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>[데이터프레스의 눈]</b>
</p>
<p>실질 GDP 성장률: 전기 대비 +0.6% (전년 동기 대비 +3.7%)&nbsp;&nbsp;</p>
<p>실질 GNI 성장률: 전기 대비 +3.1% (전년 동기 대비 +15.6%)&nbsp;</p>
<p>GDP 디플레이터: 전년 동기 대비 +21.9%&nbsp;&nbsp;</p>
<p>총저축률: 45.6% (+3.9%p) / 국내총투자율: 24.2% (-1.1%p)&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그</span><a href="https://blog.naver.com/datapress21/224404811645" target="_blank"><span style="color: #7f00ff;">&nbsp;https://blog.naver.com/datapress21/224404811645</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-08T14:41:32+09:00</atom:updated>
<atom:published>2026-09-08T11:42:49+09:00</atom:published>
</item>
<item>
<guid>2601</guid>
<title><![CDATA[산업대출 2,065조 돌파… ‘설비투자 숨고르기’ 속 부동산·금융이 빚 쏠림 주도]]></title>
<link>https://datapress.kr/news/view.php?no=2601</link>
<mobile>https://datapress.kr/m/view.php?no=2601</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2601" rel="related"/>
<description><![CDATA[
- 2분기 산업대출 30.6조 원 증가… 제조업 증가폭 축소 vs 서비스업 확대
- 시설자금 비중 47.4%로 지속 하락… 기업들 ‘돌려막기·운전자금’ 의존 심화
- 부동산 PF 보증 확대·파생증거금 영향… 부동산업·금융업 대출 각각 6.2조 원 급증

   

한국은행이 7일 발표한 ‘2026년 2/4분기 예금취급기관 산업별대출금’ 데이터 분석 결과, 전체 산업대출 잔액이 2,065.3조 원을 기록하며 견조한 증가세를 이어갔다. 전분기 대비 증가폭(+30.6조 원)은 1분기(+30.8조 원)에 비해 소폭 줄었으나, 대출의 ‘질(Quality)’적인 면에서는 실물 투자가 위축되고 자금 운용 및 부동산 부문으로 쏠리는 경향이 한층 뚜렷해진 것으로 나타났다.

   


   ■ [투자 분석] 설비투자 자금 &amp;#039;털썩&amp;#039;… 기업들 "운전자금 벌어 버티기"

이번 데이터에서 가장 눈에 띄는 대목은 자금 용도별 양극화다.

   

2분기 운전자금 대출은 전분기(+21.4조 원)보다 확대된 +23.8조 원을 기록했다. 반면, 건물의 신·증축이나 기계 설비 도입에 쓰이는 시설자금 대출은 전분기 +9.4조 원에서 +6.9조 원으로 대폭 축소되었다.&amp;#038;nbsp;&amp;#038;nbsp;

   

전체 산업대출 중 시설자금이 차지하는 비중은 47.4%로, 2025년 2분기(48.1%) 이후 매 분기 지속적으로 하락하는 추세다. 제조업 부문에서도 시설자금 증가액이 1분기 4.4조 원에서 2분기 1.4조 원으로 급감했다. 이는 기업들이 대외 불확실성 증대로 인해 장기적인 설비투자를 미루고, 원자재 구매 및 이자 지급 등 당장의 경상비용을 충당하기 위해 단기 운전자금에 의존하고 있음을 시사한다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■&amp;#038;nbsp;[업종 분석] 제조업 증가세 주춤, 부동산·금융이 서비스업 대출 견인

산업별로는 제조업의 브레이크와 서비스업의 질주가 대비를 이뤘다.

   

제조업 (+8.4조 원, 전분기 +11.0조 원): 반기말 재무비율 관리를 위한 부채 감축 노력과 일부 기업의 대출 조기 상환 영향으로 증가폭이 축소되었다. 화학·의료용제품(+2.4조→+1.5조), 제1차금속(+2.1조→+0.6조), 전자·컴퓨터·통신(+1.8조→+1.0조) 등 주요 첨단·기반 제조업 전반에서 대출 증가세가 둔화했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

△서비스업 (+19.9조 원, 전분기 +19.1조 원): 서비스업은 금융·보험업과 부동산업을 중심으로 대출 폭을 늘렸다.&amp;#038;nbsp;&amp;#038;nbsp;
△ 부동산업 (+6.2조 원): 전분기(+2.5조 원) 대비 대출 증가폭이 2.5배 이상 확대됐다. 정부의 부동산 PF 대출보증 확대 등으로 부동산 개발 및 관련 자금 조달 여건이 개선된 결과다.&amp;#038;nbsp;&amp;#038;nbsp;
△ 금융·보험업 (+6.2조 원): 파생상품 시장 증거금률 인상 영향으로 증권사 등의 자금 수요가 늘며 전년 동기 대비 21.0%라는 압도적인 대출 증가율을 기록했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

■&amp;#038;nbsp;[양극화] 대기업 중심의 대출 팽창 vs 중소기업·개인사업자 소외
대출 주체의 양극화 현상도 더욱 심화되었다. 예금은행 기준으로 대기업 대출은 16.5조 원 증가해 전분기(+12.7조 원)보다 폭을 넓힌 반면, 중소기업 대출은 +11.4조 원에 그치며 전분기(+11.6조 원)보다 줄었다.

   

특히 중소기업 내 개인사업자(자영업자) 대출은 1분기 +1.5조 원에서 2분기 +1.1조 원으로 축소되며 경기 침체에 따른 자영업 부문의 신용 차단 현상이 가시화되고 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

   

한편 금융업권별로는 시중은행(예금은행) 대출이 +29.3조 원 늘어난 반면, 상호금융·저축은행 등 비은행예금취급기관은 +1.3조 원에 그쳤다. 고금리 장기화 속 부실 채권 관리에 비상이 걸린 2금융권이 기업 대출 문턱을 대폭 높인 영향으로 해석된다.&amp;#038;nbsp;

   


   [데이터프레스의 눈]

"2026년 2분기 산업대출 데이터는 기업들의 투자의욕 저하와 부동산·금융 시장으로의 자금 쏠림 현상을 명확히 보여준다. 제조업과 중소기업의 시설자금 대출이 위축되는 상황에서 부동산 PF 자금 공급과 파생시장 관련 대출만 늘어나는 구조는 향후 경기 회복의 내실을 약화시킬 위험이 있다."
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224404581526

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260908111533_phfbuwmp.jpg" alt="산업별 대출금.JPG" style="width: 790px; height: 1127px;" /></p>
<p>- 2분기 산업대출 30.6조 원 증가… 제조업 증가폭 축소 vs 서비스업 확대</p>
<p>- 시설자금 비중 47.4%로 지속 하락… 기업들 ‘돌려막기·운전자금’ 의존 심화</p>
<p>- 부동산 PF 보증 확대·파생증거금 영향… 부동산업·금융업 대출 각각 6.2조 원 급증</p>
<p>
   <br />
</p>
<p>한국은행이 7일 발표한 ‘2026년 2/4분기 예금취급기관 산업별대출금’ 데이터 분석 결과, 전체 산업대출 잔액이 2,065.3조 원을 기록하며 견조한 증가세를 이어갔다. 전분기 대비 증가폭(+30.6조 원)은 1분기(+30.8조 원)에 비해 소폭 줄었으나, 대출의 ‘질(Quality)’적인 면에서는 실물 투자가 위축되고 자금 운용 및 부동산 부문으로 쏠리는 경향이 한층 뚜렷해진 것으로 나타났다.</p>
<p>
   <br />
</p>
<p>
   <b>■ [투자 분석] 설비투자 자금 '털썩'… 기업들 "운전자금 벌어 버티기"</b>
</p>
<p>이번 데이터에서 가장 눈에 띄는 대목은 자금 용도별 양극화다.</p>
<p>
   <br />
</p>
<p>2분기 운전자금 대출은 전분기(+21.4조 원)보다 확대된 +23.8조 원을 기록했다. 반면, 건물의 신·증축이나 기계 설비 도입에 쓰이는 시설자금 대출은 전분기 +9.4조 원에서 +6.9조 원으로 대폭 축소되었다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>전체 산업대출 중 시설자금이 차지하는 비중은 47.4%로, 2025년 2분기(48.1%) 이후 매 분기 지속적으로 하락하는 추세다. 제조업 부문에서도 시설자금 증가액이 1분기 4.4조 원에서 2분기 1.4조 원으로 급감했다. 이는 기업들이 대외 불확실성 증대로 인해 장기적인 설비투자를 미루고, 원자재 구매 및 이자 지급 등 당장의 경상비용을 충당하기 위해 단기 운전자금에 의존하고 있음을 시사한다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■&nbsp;[업종 분석] 제조업 증가세 주춤, 부동산·금융이 서비스업 대출 견인</b>
</p>
<p>산업별로는 제조업의 브레이크와 서비스업의 질주가 대비를 이뤘다.</p>
<p>
   <br />
</p>
<p>제조업 (+8.4조 원, 전분기 +11.0조 원): 반기말 재무비율 관리를 위한 부채 감축 노력과 일부 기업의 대출 조기 상환 영향으로 증가폭이 축소되었다. 화학·의료용제품(+2.4조→+1.5조), 제1차금속(+2.1조→+0.6조), 전자·컴퓨터·통신(+1.8조→+1.0조) 등 주요 첨단·기반 제조업 전반에서 대출 증가세가 둔화했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>△<b>서비스업 (+19.9조 원, 전분기 +19.1조 원)</b>: 서비스업은 금융·보험업과 부동산업을 중심으로 대출 폭을 늘렸다.&nbsp;&nbsp;</p>
<p>△ <b>부동산업 (+6.2조 원)</b>: 전분기(+2.5조 원) 대비 대출 증가폭이 2.5배 이상 확대됐다. 정부의 부동산 PF 대출보증 확대 등으로 부동산 개발 및 관련 자금 조달 여건이 개선된 결과다.&nbsp;&nbsp;</p>
<p>△ <b>금융·보험업 (+6.2조 원)</b>: 파생상품 시장 증거금률 인상 영향으로 증권사 등의 자금 수요가 늘며 전년 동기 대비 21.0%라는 압도적인 대출 증가율을 기록했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>■<b>&nbsp;[양극화] 대기업 중심의 대출 팽창 vs 중소기업·개인사업자 소외</b></p>
<p>대출 주체의 양극화 현상도 더욱 심화되었다. 예금은행 기준으로 대기업 대출은 16.5조 원 증가해 전분기(+12.7조 원)보다 폭을 넓힌 반면, 중소기업 대출은 +11.4조 원에 그치며 전분기(+11.6조 원)보다 줄었다.</p>
<p>
   <br />
</p>
<p>특히 중소기업 내 개인사업자(자영업자) 대출은 1분기 +1.5조 원에서 2분기 +1.1조 원으로 축소되며 경기 침체에 따른 자영업 부문의 신용 차단 현상이 가시화되고 있음을 보여준다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>한편 금융업권별로는 시중은행(예금은행) 대출이 +29.3조 원 늘어난 반면, 상호금융·저축은행 등 비은행예금취급기관은 +1.3조 원에 그쳤다. 고금리 장기화 속 부실 채권 관리에 비상이 걸린 2금융권이 기업 대출 문턱을 대폭 높인 영향으로 해석된다.&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>[데이터프레스의 눈]</b>
</p>
<p>"2026년 2분기 산업대출 데이터는 기업들의 투자의욕 저하와 부동산·금융 시장으로의 자금 쏠림 현상을 명확히 보여준다. 제조업과 중소기업의 시설자금 대출이 위축되는 상황에서 부동산 PF 자금 공급과 파생시장 관련 대출만 늘어나는 구조는 향후 경기 회복의 내실을 약화시킬 위험이 있다."</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224404581526" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224404581526</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-08T11:17:24+09:00</atom:updated>
<atom:published>2026-09-08T10:59:51+09:00</atom:published>
</item>
<item>
<guid>2600</guid>
<title><![CDATA[웹툰 협업 플랫폼 ‘크레코’ 공식 오픈… ‘경계 없는 창작’ 시대 연다]]></title>
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<description><![CDATA[&amp;#038;nbsp;

   
      레드아이스스튜디오·엑스텐스튜디오·더앤트·스토리숲·북팔 등 주요 스튜디오 클로즈드 베타 거쳐 9월 1일 정식 서비스 오픈
   
   
      ‘Story IP 제작 산업의 깃허브(GitHub)’ 지향… 웹툰 넘어 웹소설·출판만화·애니메이션까지 확장 청사진
   
   
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   2026년 9월 7일 -- 웹툰 제작사 넥스트레벨스튜디오(NEXT LEVEL Studio Inc.)가 3년간 자체 개발한 웹툰 협업 플랫폼 ‘크레코(CRECO)’를 지난 9월 1일 공식 오픈했다고 밝혔다. 클로즈드 베타 기간 국내 주요 제작사들의 검증을 거친 크레코는 모든 웹툰 스튜디오와 창작자가 사용할 수 있는 정식 서비스로 전환됐다.

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   크레코는 ‘경계 없는 창작’을 슬로건으로, 창작의 경계를 허물고 크리에이터들이 하나로 연결되는 새로운 협업 환경을 제공하는 서비스다. 웹툰 제작의 전 과정을 하나의 워크스페이스에서 지원하며, 아이디어의 한계를 뛰어넘는 창작 환경을 목표로 한다.■ 메신저·클라우드·엑셀에 흩어진 제작 과정, 하나의 워크스페이스로 통합웹툰 제작 현장은 그동안 메신저, 클라우드 폴더, 엑셀 파일에 흩어진 채 운영돼 왔다. 콘티, 선화, 채색, 식자 등 여러 공정을 거치며 수많은 작업자가 파일을 주고받는 과정에서 ‘어떤 게 최종본이죠?’라는 질문이 반복되고, 버전 혼선과 커뮤니케이션 비용이 제작 효율을 떨어뜨리는 요인으로 지적돼 왔다.크레코는 프로젝트-에피소드-공정-버전-결과물로 이어지는 데이터 체계 위에서 클릭 한 번으로 버전을 생성하고, 링크 하나로 최신 작업물을 원하는 설정으로 공유할 수 있도록 했다. 여기에 웹툰 제작에 최적화된 뷰어 기반 피드백, 탭 전환 없이 공정별 결과물을 나란히 놓고 보는 비교 모드, 팀원별 세부 권한 관리와 활동 로그 기능을 더해 흩어져 있던 제작 과정을 한곳에서 관리하고 커뮤니케이션 효율을 높였다.이미지 작업뿐 아니라 글콘티 등 텍스트 기반 작업도 같은 작업물 관리 구조 안에서 다룰 수 있도록 확장을 진행하고 있어 웹소설처럼 텍스트가 중심이 되는 콘텐츠로 협업 환경을 넓히는 기반이 될 전망이다.넥스트레벨스튜디오는 크레코를 소스코드 협업의 표준으로 자리 잡은 깃허브(GitHub)처럼 스토리 IP 제작 산업의 모든 과정과 데이터가 모이는 ‘Story IP 프로덕션 허브’로 키운다는 구상이다.
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   ■ 국내 주요 스튜디오 클로즈드 베타 거쳐 완성… ‘웹툰 전용 피그마’ 평가크레코는 넥스트레벨스튜디오가 다수의 흥행 웹툰을 제작하며 축적한 시스템 기반 프로덕션 노하우에서 출발했다. 자사 전 작품의 제작 파이프라인에 실전 적용해 온 도구를 외부에 개방하고, 클로즈드 베타 기간 레드아이스스튜디오, 엑스텐스튜디오, 더앤트, 스토리숲, 북팔 등 국내 주요 스튜디오들이 제시한 피드백을 반영하며 웹툰 협업 환경의 표준을 목표로 완성도를 높였다.베타에 참여한 스튜디오들은 크레코에 대해 ‘웹툰 전용 피그마 같다’, ‘웹툰 제작 스튜디오라면 무조건 추천한다’는 평가를 내놨다. 앞서 넥스트레벨스튜디오의 시리즈 A 투자 유치 과정에서도 크레코는 ‘제작 효율을 극대화하며 산업의 디지털 전환을 이끌고 있다’는 평가와 함께 주요 투자 결정 요인으로 꼽힌 바 있다.■ 무료 플랜부터 제공… 커뮤니케이션·매니지먼트·프로덕션 3개 축으로 기능 확장요금제는 소규모 팀이 부담 없이 시작할 수 있는 무료(Free) 플랜과 본격적인 협업을 위한 프로(Pro) 플랜의 시트 기반 구조로 설계됐다.넥스트레벨스튜디오는 향후 크레코를 커뮤니케이션, 매니지먼트, 프로덕션 세 축으로 순차 확장할 계획이다. 스튜디오에서 가장 많은 개발 요청을 받았던 스토리지 등 라이브러리 기능을 우선 선보이고, 프로덕션 영역의 연구개발을 통해 제작 현장의 작업 효율을 높이는 다양한 생산성 도구도 제공할 예정이다.■ 스토리 IP 제작 전반으로 확장, 일본 시작으로 해외 진출 추진크레코의 미션은 ‘전 세계의 모든 창작자가 경계 없이 연결되고 창작할 수 있는 환경을 구축하는 것’이다. 모든 창작자가 함께 창작할 수 있는 생태계를 만든다는 비전 아래 웹툰에서 검증한 협업 환경을 출판 만화, 웹소설, 애니메이션 등 스토리 IP 제작 전반으로 넓혀 나갈 계획이다.글로벌 확장도 본격화한다. 넥스트레벨스튜디오는 ‘회귀검가의 서자가 사는 법’의 픽코마 AWARD 2026 수상 등 일본 시장에서 검증된 성과와 네트워크를 바탕으로 크레코의 해외 진출을 일본부터 추진하고, 이를 발판으로 전 세계 창작자를 연결하는 플랫폼으로 키워 나간다는 목표다.넥스트레벨스튜디오 박성인 대표이사는 “크레코는 우리 스스로가 가장 절실한 사용자였기에 만들 수 있었던 서비스로, 클로즈드 베타에 함께해 준 스튜디오들의 피드백이 지금의 완성도를 만들었다”며 “웹툰 협업 환경의 표준을 넘어 전 세계 모든 창작자가 경계 없이 연결되는 창작 생태계를 크레코로 완성해 가겠다”고 밝혔다.[넥스트레벨스튜디오 소개]넥스트레벨스튜디오는 창작이 지닌 무한한 가치와 가능성을 믿으며, 독자들에게 콘텐츠의 즐거움을 선사하는 전문가 중심의 프로덕션이다. 넥스트레벨스튜디오는 창작을 통해 세상을 새롭게 바라보고 문화 예술을 발전시키는 사회적 가치를 지향하며, 기술의 고도화와 함께 창작을 다음 단계로 이끌어가는 비전으로 나아가고 있다. 현재 다수의 흥행 웹툰 제작 및 유통과 50종 이상의 웹소설 발행을 통해 독보적인 콘텐츠 경쟁력을 입증하고 있다. 2021년 설립 이후 남성향과 여성향을 아우르는 탄탄한 프로덕션 역량을 바탕으로 혁신적인 기획과 도전을 통해 창작의 지평을 넓히고 새로운 기준을 제시하며, 전 세계 독자들에게 최상의 콘텐츠 경험을 제공하는 회사다.

크레코:https://creco.so/ko
웹사이트:https://nextlevelstudio.net/about
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   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224403313850

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<content:encoded><![CDATA[<p style="background-color: #ffffff; margin-top: 18px;">&nbsp;</p>
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      <b><font color="#222222" face="arial, helvetica, sans-serif">레드아이스스튜디오·엑스텐스튜디오·더앤트·스토리숲·북팔 등 주요 스튜디오 클로즈드 베타 거쳐 9월 1일 정식 서비스 오픈</font></b>
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      <b><font color="#222222" face="arial, helvetica, sans-serif">‘Story IP 제작 산업의 깃허브(GitHub)’ 지향… 웹툰 넘어 웹소설·출판만화·애니메이션까지 확장 청사진</font></b>
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   </ul>
<b><font color="#222222" face="arial, helvetica, sans-serif">&nbsp;</font></b>
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<p style="background-color: #ffffff; margin-top: 18px;">
   <font color="#222222" face="arial, helvetica, sans-serif">2026년 9월 7일 -- 웹툰 제작사 넥스트레벨스튜디오(NEXT LEVEL Studio Inc.)가 3년간 자체 개발한 웹툰 협업 플랫폼 ‘크레코(CRECO)’를 지난 9월 1일 공식 오픈했다고 밝혔다. 클로즈드 베타 기간 국내 주요 제작사들의 검증을 거친 크레코는 모든 웹툰 스튜디오와 창작자가 사용할 수 있는 정식 서비스로 전환됐다.</font>
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<p style="margin-top: 18px; color: #222222; font-size: 13px; background-color: #ffffff; font-family: Tahoma, " sans-serif";="" line-height:="" 18.2px;"="">&nbsp;</p>
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   <img src="https://www.datapress.kr/data/tmp/2609/20260907095117_vztibqzl.png" alt="creco1.png" style="width: 640px; height: 360px;" />
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   크레코는 ‘경계 없는 창작’을 슬로건으로, 창작의 경계를 허물고 크리에이터들이 하나로 연결되는 새로운 협업 환경을 제공하는 서비스다. 웹툰 제작의 전 과정을 하나의 워크스페이스에서 지원하며, 아이디어의 한계를 뛰어넘는 창작 환경을 목표로 한다.<br /><br /><strong>■ </strong><strong>메신저·클라우드·엑셀에 흩어진 제작 과정, 하나의 워크스페이스로 통합</strong><br />웹툰 제작 현장은 그동안 메신저, 클라우드 폴더, 엑셀 파일에 흩어진 채 운영돼 왔다. 콘티, 선화, 채색, 식자 등 여러 공정을 거치며 수많은 작업자가 파일을 주고받는 과정에서 ‘어떤 게 최종본이죠?’라는 질문이 반복되고, 버전 혼선과 커뮤니케이션 비용이 제작 효율을 떨어뜨리는 요인으로 지적돼 왔다.<br /><br />크레코는 프로젝트-에피소드-공정-버전-결과물로 이어지는 데이터 체계 위에서 클릭 한 번으로 버전을 생성하고, 링크 하나로 최신 작업물을 원하는 설정으로 공유할 수 있도록 했다. 여기에 웹툰 제작에 최적화된 뷰어 기반 피드백, 탭 전환 없이 공정별 결과물을 나란히 놓고 보는 비교 모드, 팀원별 세부 권한 관리와 활동 로그 기능을 더해 흩어져 있던 제작 과정을 한곳에서 관리하고 커뮤니케이션 효율을 높였다.<br /><br />이미지 작업뿐 아니라 글콘티 등 텍스트 기반 작업도 같은 작업물 관리 구조 안에서 다룰 수 있도록 확장을 진행하고 있어 웹소설처럼 텍스트가 중심이 되는 콘텐츠로 협업 환경을 넓히는 기반이 될 전망이다.<br /><br />넥스트레벨스튜디오는 크레코를 소스코드 협업의 표준으로 자리 잡은 깃허브(GitHub)처럼 스토리 IP 제작 산업의 모든 과정과 데이터가 모이는 ‘Story IP 프로덕션 허브’로 키운다는 구상이다.<br />
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<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260907094711_wlcmaxoo.png" alt="creco2.png" style="width: 640px; height: 377px;" />
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   <img src="https://www.datapress.kr/data/tmp/2609/20260907094712_qrpwpbtp.png" alt="creco3.png" style="width: 640px; height: 290px;" />
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   <img src="https://www.datapress.kr/data/tmp/2609/20260907094712_popfstxk.png" alt="creco4.png" style="width: 640px; height: 290px;" />
</p>
<p style="margin-top: 18px; color: #222222; font-size: 13px; background-color: #ffffff; font-family: Tahoma, " sans-serif";="" line-height:="" 18.2px;"="">
   <strong><span style="font-size: 16px;">■ </span></strong><strong><span style="font-size: 16px;">국내 주요 스튜디오 클로즈드 베타 거쳐 완성… ‘웹툰 전용 피그마’ 평가</span></strong><br /><span style="font-size: 16px;">크레코는 넥스트레벨스튜디오가 다수의 흥행 웹툰을 제작하며 축적한 시스템 기반 프로덕션 노하우에서 출발했다. 자사 전 작품의 제작 파이프라인에 실전 적용해 온 도구를 외부에 개방하고, 클로즈드 베타 기간 레드아이스스튜디오, 엑스텐스튜디오, 더앤트, 스토리숲, 북팔 등 국내 주요 스튜디오들이 제시한 피드백을 반영하며 웹툰 협업 환경의 표준을 목표로 완성도를 높였다.</span><br /><br /><span style="font-size: 16px;">베타에 참여한 스튜디오들은 크레코에 대해 ‘웹툰 전용 피그마 같다’, ‘웹툰 제작 스튜디오라면 무조건 추천한다’는 평가를 내놨다. 앞서 넥스트레벨스튜디오의 시리즈 A 투자 유치 과정에서도 크레코는 ‘제작 효율을 극대화하며 산업의 디지털 전환을 이끌고 있다’는 평가와 함께 주요 투자 결정 요인으로 꼽힌 바 있다.</span><br /><br /><strong><span style="font-size: 16px;">■ </span></strong><strong><span style="font-size: 16px;">무료 플랜부터 제공… 커뮤니케이션·매니지먼트·프로덕션 3개 축으로 기능 확장</span></strong><br /><span style="font-size: 16px;">요금제는 소규모 팀이 부담 없이 시작할 수 있는 무료(Free) 플랜과 본격적인 협업을 위한 프로(Pro) 플랜의 시트 기반 구조로 설계됐다.</span><br /><br /><span style="font-size: 16px;">넥스트레벨스튜디오는 향후 크레코를 커뮤니케이션, 매니지먼트, 프로덕션 세 축으로 순차 확장할 계획이다. 스튜디오에서 가장 많은 개발 요청을 받았던 스토리지 등 라이브러리 기능을 우선 선보이고, 프로덕션 영역의 연구개발을 통해 제작 현장의 작업 효율을 높이는 다양한 생산성 도구도 제공할 예정이다.</span><br /><br /><strong><span style="font-size: 16px;">■ </span></strong><strong><span style="font-size: 16px;">스토리 IP 제작 전반으로 확장, 일본 시작으로 해외 진출 추진</span></strong><br /><span style="font-size: 16px;">크레코의 미션은 ‘전 세계의 모든 창작자가 경계 없이 연결되고 창작할 수 있는 환경을 구축하는 것’이다. 모든 창작자가 함께 창작할 수 있는 생태계를 만든다는 비전 아래 웹툰에서 검증한 협업 환경을 출판 만화, 웹소설, 애니메이션 등 스토리 IP 제작 전반으로 넓혀 나갈 계획이다.</span><br /><br /><span style="font-size: 16px;">글로벌 확장도 본격화한다. 넥스트레벨스튜디오는 ‘회귀검가의 서자가 사는 법’의 픽코마 AWARD 2026 수상 등 일본 시장에서 검증된 성과와 네트워크를 바탕으로 크레코의 해외 진출을 일본부터 추진하고, 이를 발판으로 전 세계 창작자를 연결하는 플랫폼으로 키워 나간다는 목표다.</span><br /><br /><span style="font-size: 16px;">넥스트레벨스튜디오 박성인 대표이사는 “크레코는 우리 스스로가 가장 절실한 사용자였기에 만들 수 있었던 서비스로, 클로즈드 베타에 함께해 준 스튜디오들의 피드백이 지금의 완성도를 만들었다”며 “웹툰 협업 환경의 표준을 넘어 전 세계 모든 창작자가 경계 없이 연결되는 창작 생태계를 크레코로 완성해 가겠다”고 밝혔다.</span><br /><br /><strong><span style="font-size: 16px;">[넥스트레벨스튜디오 소개]</span></strong><br /><span style="font-size: 16px;">넥스트레벨스튜디오는 창작이 지닌 무한한 가치와 가능성을 믿으며, 독자들에게 콘텐츠의 즐거움을 선사하는 전문가 중심의 프로덕션이다. 넥스트레벨스튜디오는 창작을 통해 세상을 새롭게 바라보고 문화 예술을 발전시키는 사회적 가치를 지향하며, 기술의 고도화와 함께 창작을 다음 단계로 이끌어가는 비전으로 나아가고 있다. 현재 다수의 흥행 웹툰 제작 및 유통과 50종 이상의 웹소설 발행을 통해 독보적인 콘텐츠 경쟁력을 입증하고 있다. 2021년 설립 이후 남성향과 여성향을 아우르는 탄탄한 프로덕션 역량을 바탕으로 혁신적인 기획과 도전을 통해 창작의 지평을 넓히고 새로운 기준을 제시하며, 전 세계 독자들에게 최상의 콘텐츠 경험을 제공하는 회사다.</span>
</p>
<p style="margin-top: 18px; color: #222222; font-size: 13px; background-color: #ffffff; font-family: Tahoma, " sans-serif";="" line-height:="" 18.2px;"="">크레코:<a href="https://creco.so/ko" rel="noreferrer noopener" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://creco.so/ko&amp;source=gmail&amp;ust=1788827612978000&amp;usg=AOvVaw1LKAvbnVdKxYm6cdCe1MHr" style="color: #1155cc;">https://creco.so/ko</a><br /></p>
<p style="margin-top: 18px; color: #222222; font-size: 13px; background-color: #ffffff; font-family: Tahoma, " sans-serif";="" line-height:="" 18.2px;"=""><span style="line-height: 18.2px; font-weight: bold;">웹사이트</span>:<a href="https://nextlevelstudio.net/about" rel="noreferrer noopener" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://nextlevelstudio.net/about&amp;source=gmail&amp;ust=1788827612978000&amp;usg=AOvVaw3X-MACgwhi_jJ6Y7oPIo2I" style="color: #1155cc;">https://nextlevelstudio.net/<wbr />about</a></p>
<p style="margin-top: 18px; color: #222222; font-size: 13px; background-color: #ffffff; font-family: Tahoma, " sans-serif";="" line-height:="" 18.2px;"="">&nbsp;</p>
<p sans-serif";="" line-height:="" 18.2px;"="" style="margin-top: 18px; font-size: 13px; background-color: #ffffff;">
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224403313850" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224403313850</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-07T10:03:25+09:00</atom:updated>
<atom:published>2026-09-07T09:47:47+09:00</atom:published>
</item>
<item>
<guid>2599</guid>
<title><![CDATA[7월 경상수지 420.8억 달러…‘반도체 초대형 붐’에 수출 1,000억 달러 돌파 지속]]></title>
<link>https://datapress.kr/news/view.php?no=2599</link>
<mobile>https://datapress.kr/m/view.php?no=2599</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2599" rel="related"/>
<description><![CDATA[
   상품수지 404.3억 달러 흑자…역대 2위 수준의 대규모 흑자 기조 유지
   반도체 수출 전년 대비 176.3% 폭등, 전체 수출 증가율 65.3% 견인
   여름 휴가철 여파로 여행수지 적자 전환…외국인 국내 주식은 6개월 만에 순매수
   

   


   

한국 경제의 버팀목인 경상수지가 반도체를 중심으로 한 IT 품목의 압도적인 수출 호조에 힘입어 두 달 연속 400억 달러가 넘는 대규모 흑자를 기록했다.

   

4일 한국은행이 발표한 &amp;#039;2026년 7월 국제수지(잠정)&amp;#039;에 따르면 지난 7월 경상수지는 420.8억 달러(약 56조 원) 흑자로 집계됐다. 이는 전월(497.3억 달러)에 이어 역대 2위 수준의 대형 흑자 기록이다. 올해 1월부터 7월까지 누적 경상수지 흑자는 2,330.9억 달러에 달해 전년 동기(598.2억 달러) 대비 약 3.9배로 폭증했다.

   


   [2026년 주요 월별 경상수지 추이]

• 2025년 7월 :&amp;#038;nbsp; 119.5억 달러
• 2026년 5월 :&amp;#038;nbsp; 386.1억 달러
• 2026년 6월 :&amp;#038;nbsp; 497.3억 달러 (역대 최고 수준)
• 2026년 7월 :&amp;#038;nbsp; 420.8억 달러 (역대 2위)
• 2026년 1~7월 누적 : 2,330.9억 달러
&amp;#038;nbsp;

   ■ 반도체가 끌어올린 수출… 2개월 연속 1,000억 달러 상회

경상수지 대폭 흑자의 일등 공신은 단연 상품수지다. 7월 상품수지는 404.3억 달러 흑자를 기록했다.

   

수출은 전년 동월 대비 65.3% 급증한 1,004.5억 달러를 기록하며 6월(1,123.7억 달러)에 이어 2개월 연속 1,000억 달러 고지를 넘어섰다. 통관기준 품목별 수출 데이터를 살펴보면 반도체의 신기록 행진이 눈에 띈다. 7월 반도체 수출액은 411.7억 달러로 전년 동월 대비 무려 176.3% 증가했다. 정보통신기기 역시 146.0% 증가한 76.4억 달러를 기록하는 등 전기·전자제품 전체가 141.7% 폭증하며 전체 수출을 견인했다.

   

지역별로는 중국(216.8억 달러, +96.2%), 동남아(311.4억 달러, +74.7%), 미국(174.7억 달러, +69.1%), EU(93.8억 달러, +55.6%) 등 주요 거점 시장에서 일제히 가파른 상승세를 나타냈다.

   

같은 기간 수입은 600.2억 달러로 21.7% 증가했다. 원유(+54.2%), 가스(+46.8%) 등 에너지류 수입이 39.3% 증가하고 반도체 제조장비(+60.1%) 등 자본재 수입이 36.7% 늘어난 여파다.

   


   ■ 여행수지는 3개월 만에 적자… 외국인 국내 주식 ‘순매수 전환’

서비스수지는 19.7억 달러 적자를 나타내며 전월(-12.9억 달러)보다 적자 폭이 확대됐다. 특히 여름 휴가철을 맞아 내국인의 해외 출국자가 급증하면서 여행수지가 -3.4억 달러로 3개월 만에 적자로 돌아섰다. 지식재산권사용료(-5.4억 달러) 및 기타사업서비스(-7.7억 달러) 등도 적자 흐름을 이어갔다.

   

본원소득수지는 배당소득(38.3억 달러)을 중심으로 43.5억 달러 흑자를 기록해 전월(32.7억 달러)보다 흑자 폭을 키웠다.

   

한편, 금융계정 순자산은 7월 중 403.2억 달러 증가했다. 내국인의 해외 증권투자는 주식(123.3억 달러)을 중심으로 135.7억 달러 증가했다. 눈에 띄는 점은 외국인의 국내 증권투자다. 외국인의 국내 주식투자가 59.8억 달러 순매수로 돌아서며 6개월 만에 반등에 성공했다.

   

경제 전문가는 "AI 및 글로벌 IT 업황 강세로 반도체 중심의 수출 대호조가 한국 경제의 대외 건전성을 비약적으로 높이고 있다"면서도 "여름철 해외여행 증가에 따른 서비스수지 악화와 고유가로 인한 수입 부담 관리에는 유의할 필요가 있다"고 분석했다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224403280707

]]></description>
<content:encoded><![CDATA[<ul>
   <li>상품수지 404.3억 달러 흑자…역대 2위 수준의 대규모 흑자 기조 유지</li>
   <li>반도체 수출 전년 대비 176.3% 폭등, 전체 수출 증가율 65.3% 견인</li>
   <li>여름 휴가철 여파로 여행수지 적자 전환…외국인 국내 주식은 6개월 만에 순매수</li>
   </ul>
<p>
   <br />
</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260907092343_cpnmleod.jpg" alt="7월국제수지.JPG" style="width: 875px; height: 485px;" />
</p>
<p>한국 경제의 버팀목인 경상수지가 반도체를 중심으로 한 IT 품목의 압도적인 수출 호조에 힘입어 두 달 연속 400억 달러가 넘는 대규모 흑자를 기록했다.</p>
<p>
   <br />
</p>
<p>4일 한국은행이 발표한 '2026년 7월 국제수지(잠정)'에 따르면 지난 7월 경상수지는 420.8억 달러(약 56조 원) 흑자로 집계됐다. 이는 전월(497.3억 달러)에 이어 역대 2위 수준의 대형 흑자 기록이다. 올해 1월부터 7월까지 누적 경상수지 흑자는 2,330.9억 달러에 달해 전년 동기(598.2억 달러) 대비 약 3.9배로 폭증했다.</p>
<p>
   <br />
</p>
<p>
   <b>[2026년 주요 월별 경상수지 추이]</b>
</p>
<p>• 2025년 7월 :&nbsp; 119.5억 달러</p>
<p>• 2026년 5월 :&nbsp; 386.1억 달러</p>
<p>• 2026년 6월 :&nbsp; 497.3억 달러 (역대 최고 수준)</p>
<p>• 2026년 7월 :&nbsp; 420.8억 달러 (역대 2위)</p>
<p>• 2026년 1~7월 누적 : 2,330.9억 달러</p>
<p>&nbsp;</p>
<p>
   <b>■ 반도체가 끌어올린 수출… 2개월 연속 1,000억 달러 상회</b>
</p>
<p>경상수지 대폭 흑자의 일등 공신은 단연 상품수지다. 7월 상품수지는 404.3억 달러 흑자를 기록했다.</p>
<p>
   <br />
</p>
<p>수출은 전년 동월 대비 65.3% 급증한 1,004.5억 달러를 기록하며 6월(1,123.7억 달러)에 이어 2개월 연속 1,000억 달러 고지를 넘어섰다. 통관기준 품목별 수출 데이터를 살펴보면 반도체의 신기록 행진이 눈에 띈다. 7월 반도체 수출액은 411.7억 달러로 전년 동월 대비 무려 176.3% 증가했다. 정보통신기기 역시 146.0% 증가한 76.4억 달러를 기록하는 등 전기·전자제품 전체가 141.7% 폭증하며 전체 수출을 견인했다.</p>
<p>
   <br />
</p>
<p>지역별로는 중국(216.8억 달러, +96.2%), 동남아(311.4억 달러, +74.7%), 미국(174.7억 달러, +69.1%), EU(93.8억 달러, +55.6%) 등 주요 거점 시장에서 일제히 가파른 상승세를 나타냈다.</p>
<p>
   <br />
</p>
<p>같은 기간 수입은 600.2억 달러로 21.7% 증가했다. 원유(+54.2%), 가스(+46.8%) 등 에너지류 수입이 39.3% 증가하고 반도체 제조장비(+60.1%) 등 자본재 수입이 36.7% 늘어난 여파다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 여행수지는 3개월 만에 적자… 외국인 국내 주식 ‘순매수 전환’</b>
</p>
<p>서비스수지는 19.7억 달러 적자를 나타내며 전월(-12.9억 달러)보다 적자 폭이 확대됐다. 특히 여름 휴가철을 맞아 내국인의 해외 출국자가 급증하면서 여행수지가 -3.4억 달러로 3개월 만에 적자로 돌아섰다. 지식재산권사용료(-5.4억 달러) 및 기타사업서비스(-7.7억 달러) 등도 적자 흐름을 이어갔다.</p>
<p>
   <br />
</p>
<p>본원소득수지는 배당소득(38.3억 달러)을 중심으로 43.5억 달러 흑자를 기록해 전월(32.7억 달러)보다 흑자 폭을 키웠다.</p>
<p>
   <br />
</p>
<p>한편, 금융계정 순자산은 7월 중 403.2억 달러 증가했다. 내국인의 해외 증권투자는 주식(123.3억 달러)을 중심으로 135.7억 달러 증가했다. 눈에 띄는 점은 외국인의 국내 증권투자다. 외국인의 국내 주식투자가 59.8억 달러 순매수로 돌아서며 6개월 만에 반등에 성공했다.</p>
<p>
   <br />
</p>
<p>경제 전문가는 "AI 및 글로벌 IT 업황 강세로 반도체 중심의 수출 대호조가 한국 경제의 대외 건전성을 비약적으로 높이고 있다"면서도 "여름철 해외여행 증가에 따른 서비스수지 악화와 고유가로 인한 수입 부담 관리에는 유의할 필요가 있다"고 분석했다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224403280707" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224403280707</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-07T09:30:27+09:00</atom:updated>
<atom:published>2026-09-07T09:23:56+09:00</atom:published>
</item>
<item>
<guid>2598</guid>
<title><![CDATA[한국 외환보유액 4,422억 달러 '역대급 급등'… 한 달 만에 143억 달러 폭증이 뜻하는 신호]]></title>
<link>https://datapress.kr/news/view.php?no=2598</link>
<mobile>https://datapress.kr/m/view.php?no=2598</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2598" rel="related"/>
<description><![CDATA[

한국은행이 3일 발표한 &amp;#039;2026년 8월말 외환보유액&amp;#039;에 따르면, 우리나라의 외환보유액이 4,422억 8천만 달러를 기록하며 전월말(4,279억 5천만 달러) 대비 무려 143억 3천만 달러(약 19조 원) 급증한 것으로 집계됐다. 이는 단일 월 증가 폭 기준으로 최근 수년간 찾아보기 힘들었던 대규모 폭증세다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 외환보유액 폭증의 3대 동력: 외화예수금·약세 달러·운용수익
한국은행은 이번 외환보유액 급증의 주요 배경으로 ① 금융기관의 외화예수금 대폭 증가, ② 미 달러화 약세에 따른 기타통화 자산의 달러 환산액 증가, ③ 외화자산 운용수익 확대를 꼽았다.&amp;#038;nbsp;&amp;#038;nbsp;

특히 최근 글로벌 외환시장에서 미 달러화의 강세가 주춤하면서 유로화, 엔화 등 기타 통화 표시 자산의 달러 평가액이 크게 올라간 점이 주요하게 작용했다. 여기에 국내 금융기관들이 외화 유동성 확보 및 수단 다변화를 위해 한국은행 외화예수금을 크게 늘린 것이 결정적인 물량 증가를 이끌었다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;
■ 외환보유액 자산 구조 세부 분석
2026년 8월말 기준 외환보유액의 구성을 살펴보면, 현금성 자산과 채권 자산이 유기적으로 급증했음을 확인할 수 있다.&amp;#038;nbsp;&amp;#038;nbsp;

   
      
         구성 항목
         2026년 7월말
         2026년 8월말
         전월 대비 증감
         비중 (%)
         
      
   
      
         총 외환보유액
         4,279.5억 달러
         4,422.8억 달러
         ▲ 143.3억 달러
         100.0%
         
      
         유가증권 (국채·회사채 등)
         3,800.1억 달러
         3,870.7억 달러
         ▲ 70.7억 달러
         87.5%
         
      
         예치금 (현금성 자산)
         231.3억 달러
         303.0억 달러
         ▲ 71.7억 달러
         6.9%
         
      
         SDR (특별인출권)
         157.0억 달러
         157.7억 달러
         ▲ 0.6억 달러
         3.6%
         
      
         금 (Gold)
         47.9억 달러
         47.9억 달러
         -
         1.1%
         
      
         IMF 포지션
         43.2억 달러
         43.4억 달러
         ▲ 0.3억 달러
         1.0%
         
      
   

   예치금의 급반등 (+71.7억 달러): 현금성 자산인 예치금이 전월 231.3억 달러에서 303.0억 달러로 급증하며 시중 유동성 안전판 역할을 크게 강화했다.&amp;#038;nbsp;&amp;#038;nbsp;
   유가증권 확대 (+70.7억 달러): 국채, 정부기관채, 회사채 등 수익성과 안정성을 갖춘 유가증권 역시 3,870.7억 달러로 늘어나 전체 보유액의 87.5%를 차지했다.&amp;#038;nbsp;&amp;#038;nbsp;
   금 보유량 유지: 금 보유액은 장부가격 기준 47.9억 달러(1.1%)로 변화가 없었다.&amp;#038;nbsp;
   

[데이터프레스의 눈]
이번 8월 외환보유액의 143억 달러 폭증은 외환시장의 안정을 도모할 수 있는 확실한 &amp;#039;방파제&amp;#039;가 구축되었음을 의미한다.&amp;#038;nbsp;
&amp;#038;nbsp;
글로벌 환율 변동성과 미 금리 향방에 대한 불확실성이 큰 상황에서 4,400억 달러선 돌파는 한국 경제의 대외 신인도를 제고하고 외환당국의 환율 미세조정(Smoothing Operation) 여력을 든든하게 받쳐줄 것으로 기대된다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224400553663

]]></description>
<content:encoded><![CDATA[<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260904093704_pdzwthiq.jpg" alt="8월말 외환보유액.JPG" style="width: 875px; height: 472px;" /></p>
<p>한국은행이 3일 발표한 '2026년 8월말 외환보유액'에 따르면, 우리나라의 외환보유액이 4,422억 8천만 달러를 기록하며 전월말(4,279억 5천만 달러) 대비 무려 143억 3천만 달러(약 19조 원) 급증한 것으로 집계됐다. 이는 단일 월 증가 폭 기준으로 최근 수년간 찾아보기 힘들었던 대규모 폭증세다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 외환보유액 폭증의 3대 동력: 외화예수금·약세 달러·운용수익</b></p>
<p>한국은행은 이번 외환보유액 급증의 주요 배경으로 ① 금융기관의 외화예수금 대폭 증가, ② 미 달러화 약세에 따른 기타통화 자산의 달러 환산액 증가, ③ 외화자산 운용수익 확대를 꼽았다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>특히 최근 글로벌 외환시장에서 미 달러화의 강세가 주춤하면서 유로화, 엔화 등 기타 통화 표시 자산의 달러 평가액이 크게 올라간 점이 주요하게 작용했다. 여기에 국내 금융기관들이 외화 유동성 확보 및 수단 다변화를 위해 한국은행 외화예수금을 크게 늘린 것이 결정적인 물량 증가를 이끌었다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<b>■ 외환보유액 자산 구조 세부 분석</b>
<p>2026년 8월말 기준 외환보유액의 구성을 살펴보면, 현금성 자산과 채권 자산이 유기적으로 급증했음을 확인할 수 있다.&nbsp;&nbsp;</p>
<table data-path-to-node="10" style="margin-bottom: 32px; font-family: " google="" sans="" text",="" sans-serif="" !important;="" line-height:="" 1.15="" margin-top:="" 0px="" !important;"="">
   <thead style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">구성 항목</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 7월말</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 8월말</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">전월 대비 증감</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">비중 (%)</strong></td>
         </tr>
      </thead>
   <tbody style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">총 외환보유액</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,1,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,1,1,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">4,279.5억 달러</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,1,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,1,2,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">4,422.8억 달러</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,1,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,1,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 143.3억 달러</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,1,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,1,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">100.0%</b></span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,2,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">유가증권 (국채·회사채 등)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,2,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3,800.1억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,2,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3,870.7억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,2,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 70.7억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,2,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">87.5%</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,3,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">예치금 (현금성 자산)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,3,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">231.3억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,3,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">303.0억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,3,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 71.7억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,3,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">6.9%</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,4,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">SDR (특별인출권)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,4,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">157.0억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,4,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">157.7억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,4,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 0.6억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,4,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.6%</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,5,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">금 (Gold)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,5,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">47.9억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,5,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">47.9억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,5,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,5,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">1.1%</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="10,6,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">IMF 포지션</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,6,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">43.2억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,6,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">43.4억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,6,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 0.3억 달러</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="10,6,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">1.0%</span></td>
         </tr>
      </tbody>
   </table>
<ul>
   <li>예치금의 급반등 (+71.7억 달러): 현금성 자산인 예치금이 전월 231.3억 달러에서 303.0억 달러로 급증하며 시중 유동성 안전판 역할을 크게 강화했다.&nbsp;&nbsp;</li>
   <li>유가증권 확대 (+70.7억 달러): 국채, 정부기관채, 회사채 등 수익성과 안정성을 갖춘 유가증권 역시 3,870.7억 달러로 늘어나 전체 보유액의 87.5%를 차지했다.&nbsp;&nbsp;</li>
   <li>금 보유량 유지: 금 보유액은 장부가격 기준 47.9억 달러(1.1%)로 변화가 없었다.&nbsp;</li>
   </ul>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>이번 8월 외환보유액의 143억 달러 폭증은 외환시장의 안정을 도모할 수 있는 확실한 '방파제'가 구축되었음을 의미한다.&nbsp;</p>
<p>&nbsp;</p>
<p>글로벌 환율 변동성과 미 금리 향방에 대한 불확실성이 큰 상황에서 4,400억 달러선 돌파는 한국 경제의 대외 신인도를 제고하고 외환당국의 환율 미세조정(Smoothing Operation) 여력을 든든하게 받쳐줄 것으로 기대된다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224400553663" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224400553663</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-04T09:53:22+09:00</atom:updated>
<atom:published>2026-09-04T09:40:17+09:00</atom:published>
</item>
<item>
<guid>2597</guid>
<title><![CDATA[8월 물가 3.1% 반등의 착시… 농산물 착한 하락 뒤에 숨은 '근원물가 3.4%'의 경고]]></title>
<link>https://datapress.kr/news/view.php?no=2597</link>
<mobile>https://datapress.kr/m/view.php?no=2597</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2597" rel="related"/>
<description><![CDATA[
국가데이터처가 2일 발표한 &amp;#039;2026년 8월 소비자물가동향&amp;#039;에 따르면, 8월 소비자물가지수는 120.05(2020=100)로 전년 동월 대비 3.1% 상승했다. 지난 7월(2.8%) 2%대로 잠시 숨고르기를 했던 물가상승률이 불과 한 달 만에 다시 3%대로 반등했다. 표면적으로는 석유류 가격 상승과 통신비 기저효과가 주된 원인으로 지목되지만, 지표를 세부 분해해 보면 가계의 실질적 물가 부담을 결정짓는 &amp;#039;기초 체력&amp;#039; 지표에서 보다 심각한 경고 신호가 감지되고 있다.&amp;#038;nbsp;&amp;#038;nbsp;

■ &amp;#039;농산물 착시&amp;#039;에 착시된 착한 물가?… 근원물가 3.4% 폭등의 경고
이번 발표에서 가장 눈에 띄는 대목은 신선식품지수의 급락(-6.7%)과 근원물가(식료품 및 에너지 제외지수)의 급등(+3.4%)이 만드는 강렬한 대비다. 밥상 물가를 좌우하는 신선채소(-9.8%)와 신선과실(-10.0%) 가격은 폭염·폭우 등 기상 여건 악화에도 불구하고 전년 대비 크게 하락하며 농축수산물 전체 물가를 2.6% 끌어내렸다. 배추(-26.2%), 토마토(-24.8%), 돼지고기(-2.2%) 등 주요 장바구니 품목이 하락세를 주도했다.&amp;#038;nbsp;

그러나 계절적·일시적 요인을 제거한 OECD 기준 근원물가는 전년 동월 대비 3.4%나 급등했다. 이는 지난 7월(2.6%) 대비 무려 0.8%p나 껑충 뛴 수치로, 올해 들어 가장 높은 상승 폭이다. 체감 장바구니 물가는 잠시 안정된 것처럼 보이지만, 경제 전반의 밑바탕에 깔린 구조적 인플레이션 압력은 오히려 거세지고 있음을 의미한다.&amp;#038;nbsp;

   
      
         지표 구분
         2026년 6월
         2026년 7월
         2026년 8월
         전월 대비 추이
         
      
   
      
         소비자물가지수(총지수)
         3.2%
         2.8%
         3.1%
         ▲ 0.3%p 반등
         
      
         근원물가 (OECD 기준)
         2.5%
         2.6%
         3.4%
         ▲ 0.8%p 급등
         
      
         신선식품지수
         0.4%
         -2.3%
         -6.7%
         ▼ 4.4%p 하락
         
      
         공업제품 (석유류 포함)
         4.4%
         3.7%
         3.7%
         - (고물가 유지)
         
      
         서비스 물가
         2.6%
         2.6%
         3.7%
         ▲ 1.1%p 급증
         
      
   
■ 석유류·통신비·외식 제외 서비스가 상승 견인
물가 반등을 이끈 핵심 품목은 공업제품 내 석유류(+14.2%)와 서비스 부문(+3.7%)이다.&amp;#038;nbsp;&amp;#038;nbsp;

   석유류 및 교역 품목: 경유(19.6%)와 휘발유(11.5%)의 가파른 상승세로 교통 지수가 7.2% 급등했다. IT 기기인 컴퓨터(23.7%)와 휴대용멀티미디어기기(22.5%) 가격 상승도 공업제품 물가를 자극했다.&amp;#038;nbsp;&amp;#038;nbsp;
   서비스 및 통신 요금: 통신 지수는 전년 대비 16.6% 급등했는데, 이는 지난해 8월 통신비 관련 정책 지원이나 할인에 따른 역기저효과 및 휴대전화료(26.7%) 조정이 주요 원인으로 분석된다.&amp;#038;nbsp;&amp;#038;nbsp;
   개인 서비스: 해외단체여행비(14.9%), 보험서비스료(13.4%), 공동주택관리비(3.3%) 등 소비자의 생활 밀착형 서비스 비용이 줄줄이 오르며 외식 제외 개인서비스 물가가 4.0% 올랐다.&amp;#038;nbsp;&amp;#038;nbsp;
   

[데이터프레스의 눈]
농산물 가격 하락으로 인한 착시 효과에 방심해서는 안 된다. 유가 불안과 서비스 물가 상승, 그리고 근원물가(3.4%)의 가속화는 통화정책 셈법을 더욱 복잡하게 만들고 있다. 내수 소비 위축 상황에서도 서비스 및 유가발 물가 압력이 지속되면서, 실질 구매력 저하에 따른 경기 둔화 속 고물가(스태그플레이션 우려) 리스크에 대한 면밀한 대응이 요구된다.
&amp;#038;nbsp;

   데이커프레스 공식블로그https://blog.naver.com/datapress21/224400515907

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2609/20260904090705_gspgclvx.jpg" alt="8월소비자물가동향.JPG" style="width: 875px; height: 491px;" /></p>
<p>국가데이터처가 2일 발표한 '2026년 8월 소비자물가동향'에 따르면, 8월 소비자물가지수는 120.05(2020=100)로 전년 동월 대비 3.1% 상승했다. 지난 7월(2.8%) 2%대로 잠시 숨고르기를 했던 물가상승률이 불과 한 달 만에 다시 3%대로 반등했다. 표면적으로는 석유류 가격 상승과 통신비 기저효과가 주된 원인으로 지목되지만, 지표를 세부 분해해 보면 가계의 실질적 물가 부담을 결정짓는 '기초 체력' 지표에서 보다 심각한 경고 신호가 감지되고 있다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ '농산물 착시'에 착시된 착한 물가?… 근원물가 3.4% 폭등의 경고</b></p>
<p>이번 발표에서 가장 눈에 띄는 대목은 신선식품지수의 급락(-6.7%)과 근원물가(식료품 및 에너지 제외지수)의 급등(+3.4%)이 만드는 강렬한 대비다. 밥상 물가를 좌우하는 신선채소(-9.8%)와 신선과실(-10.0%) 가격은 폭염·폭우 등 기상 여건 악화에도 불구하고 전년 대비 크게 하락하며 농축수산물 전체 물가를 2.6% 끌어내렸다. 배추(-26.2%), 토마토(-24.8%), 돼지고기(-2.2%) 등 주요 장바구니 품목이 하락세를 주도했다.&nbsp;</p>
<p><br /></p>
<p>그러나 계절적·일시적 요인을 제거한 OECD 기준 근원물가는 전년 동월 대비 3.4%나 급등했다. 이는 지난 7월(2.6%) 대비 무려 0.8%p나 껑충 뛴 수치로, 올해 들어 가장 높은 상승 폭이다. 체감 장바구니 물가는 잠시 안정된 것처럼 보이지만, 경제 전반의 밑바탕에 깔린 구조적 인플레이션 압력은 오히려 거세지고 있음을 의미한다.&nbsp;</p>
<table data-path-to-node="12" style="margin-bottom: 32px; font-family: " google="" sans="" text",="" sans-serif="" !important;="" line-height:="" 1.15="" margin-top:="" 0px="" !important;"="">
   <thead style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">지표 구분</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 6월</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 7월</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 8월</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">전월 대비 추이</strong></td>
         </tr>
      </thead>
   <tbody style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">소비자물가지수(총지수)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.2%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.8%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,1,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.1%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 0.3%p 반등</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,2,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">근원물가 (OECD 기준)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.5%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.6%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,2,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.4%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 0.8%p 급등</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,3,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">신선식품지수</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.4%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-2.3%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,3,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-6.7%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▼ 4.4%p 하락</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,4,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">공업제품 (석유류 포함)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">4.4%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.7%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,4,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.7%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">- (고물가 유지)</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,5,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">서비스 물가</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.6%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.6%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,5,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.7%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">▲ 1.1%p 급증</span></td>
         </tr>
      </tbody>
   </table>
<p><b>■ 석유류·통신비·외식 제외 서비스가 상승 견인</b></p>
<p>물가 반등을 이끈 핵심 품목은 공업제품 내 석유류(+14.2%)와 서비스 부문(+3.7%)이다.&nbsp;&nbsp;</p>
<ul>
   <li>석유류 및 교역 품목: 경유(19.6%)와 휘발유(11.5%)의 가파른 상승세로 교통 지수가 7.2% 급등했다. IT 기기인 컴퓨터(23.7%)와 휴대용멀티미디어기기(22.5%) 가격 상승도 공업제품 물가를 자극했다.&nbsp;&nbsp;</li>
   <li>서비스 및 통신 요금: 통신 지수는 전년 대비 16.6% 급등했는데, 이는 지난해 8월 통신비 관련 정책 지원이나 할인에 따른 역기저효과 및 휴대전화료(26.7%) 조정이 주요 원인으로 분석된다.&nbsp;&nbsp;</li>
   <li>개인 서비스: 해외단체여행비(14.9%), 보험서비스료(13.4%), 공동주택관리비(3.3%) 등 소비자의 생활 밀착형 서비스 비용이 줄줄이 오르며 외식 제외 개인서비스 물가가 4.0% 올랐다.&nbsp;&nbsp;</li>
   </ul>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>농산물 가격 하락으로 인한 착시 효과에 방심해서는 안 된다. 유가 불안과 서비스 물가 상승, 그리고 근원물가(3.4%)의 가속화는 통화정책 셈법을 더욱 복잡하게 만들고 있다. 내수 소비 위축 상황에서도 서비스 및 유가발 물가 압력이 지속되면서, 실질 구매력 저하에 따른 경기 둔화 속 고물가(스태그플레이션 우려) 리스크에 대한 면밀한 대응이 요구된다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이커프레스 공식블로그</span><a href="https://blog.naver.com/datapress21/224400515907" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224400515907</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-04T09:14:42+09:00</atom:updated>
<atom:published>2026-09-04T09:09:21+09:00</atom:published>
</item>
<item>
<guid>2596</guid>
<title><![CDATA[반도체·OLED가 이끈 기계 설비투자, 차가워진 내수 소비 지갑]]></title>
<link>https://datapress.kr/news/view.php?no=2596</link>
<mobile>https://datapress.kr/m/view.php?no=2596</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2596" rel="related"/>
<description><![CDATA[
   

- 국가데이터처, &amp;#039;2026년 7월 산업활동동향&amp;#039; 발표
- 설비투자 전월 대비 7.5% 폭증… 반도체·운송장비 등 IT 기계류 견인
- 소매판매 -2.4% 급감… 승용차·가전 등 내구재 소비 심각한 위축

   

대한민국 경제가 IT 제조·설비투자의 강력한 회복세와 내수 소비 위축이 정면으로 충돌하는 &amp;#039;뚜렷한 비동조화(디커플링)&amp;#039; 국면에 진입했다.

   

국가데이터처가 31일 발표한 &amp;#039;2026년 7월 산업활동동향&amp;#039;에 따르면 전체 산업 생산은 전월과 동일한 보합(0.0%)을 기록했으나, 내부를 들여다보면 제조업과 설비투자의 폭발적 성장이 서비스업과 소비의 침체를 겨우 방어하고 있는 구조다.

   


   ■ IT·OLED &amp;#039;제조업 훈풍&amp;#039; vs 서비스업·건설 &amp;#039;칼바람&amp;#039;

7월 전산업생산지수는 서비스업(-1.3%)과 건설업(-1.1%)의 감소세에도 불구하고 광공업(0.2%)과 공공행정(10.4%)의 반등에 힘입어 전월 수준을 유지했다. 광공업 생산을 이끈 주역은 단연 전자부품(20.7%)과 1차금속(4.2%)이다. OLED 및 인쇄회로기판(PCB) 생산이 가파르게 증가하며 제조업 평균가동률을 74.9%로 전월 대비 0.2%p 끌어올렸다.

   

반면 자영업 및 민간 경기와 직결된 서비스업은 금융·보험(-4.8%), 전문·과학·기술(-2.7%)의 실적 악화로 1.3% 후퇴했다. 특히 건설기성(불변)은 건축 공실적이 급감하며 전월 대비 -1.1%, 전년 동월 대비 -3.2%를 기록해 건설 경기 한파가 지속되고 있음을 보여줬다.

&amp;#038;nbsp;

   
      
         주요 지표
         2026년 5월
         2026년 6월
         2026년 7월 (p)
         증감 요인 및 특이사항
         
      
   
      
         전산업생산 (전월비)
         -0.4%
         2.4%
         0.0%
         서비스업 감소 vs 광공업·공공행정 증가 상쇄
         
      
         광공업 생산
         -3.0%
         6.7%
         0.2%
         전자부품(+20.7%), 1차금속(+4.2%) 견인
         
      
         소매판매 (소비)
         -0.1%
         2.7%
         -2.4%
         승용차·가전 등 내구재(-7.7%) 급감
         
      
         설비투자
         -0.1%
         6.9%
         7.5%
         반도체 장비(+4.2%), 기타운송장비(+15.4%)
         
      
         동행지수 순환변동치
         99.9
         100.4
         101.2 (+0.8p)
         수입액, 내수출하지수 증가 영향
         
      
   

   ■ 설비투자 7.5% &amp;#039;폭발&amp;#039;… 반도체·운송장비가 주도

투동향에서는 매우 긍정적인 신호가 포착됐다. 7월 설비투자는 전월 대비 7.5% 증가하며 두 달 연속 가파른 상승세를 나타냈다. 전년 동월 대비로는 무려 24.9% 증가한 수치다.선박 및 항공기 도입에 따른 기타운송장비(15.4%) 투자 확대와 더불어 반도체 제조용 기계 등 기계류(4.2%) 투자가 대폭 늘어난 결과다. 국내기계수주 역시 민간 제조업(+47.9%)의 발주 폭증으로 전년 동월 대비 25.4% 늘어 향후 제조업 설비 확장 기대감을 높였다.

   


   ■ 고물가·고금리 여파? 소매판매 -2.4% &amp;#039;얼어붙은 소비&amp;#039;

투자 활황과 달리 소비지표인 소매판매액지수는 전월 대비 2.4% 감소하며 급격한 냉각기를 나타냈다. 내구재(-7.7%), 준내구재(-1.4%), 비내구재(-0.1%) 전 품목에서 판매가 축소됐다. 특히 승용차, 가전제품, 통신기기 등 고가 내구재 소비가 큰 폭으로 줄어든 점은 가계의 지출 여력과 소비 심리가 대폭 위축되었음을 반증한다.

   


   ■ 데이터프레스의 눈

현재 한국 경제는 &amp;#039;수출·투자 주도형 온기&amp;#039;가 민간 소비와 건설 현장 등 &amp;#039;바닥 경제&amp;#039;로 전해지지 않는 양극화 심화 상태다. 동행지수 순환변동치(101.2, +0.8p)와 선행지수 순환변동치(104.2, +0.4p)가 동시에 상승하며 전체 경기 국면은 회복세를 가리키고 있으나, 내수 소비 진작을 위한 맞춤형 정책 수립이 병행되지 않는다면 체감 경기와의 갭은 지속될 전망이다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224396933535

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2609/20260901084731_glhmecwi.jpg" alt="7월산업활동동향.JPG" style="width: 875px; height: 490px;" />
</p>
<p>- 국가데이터처, '2026년 7월 산업활동동향' 발표</p>
<p>- 설비투자 전월 대비 7.5% 폭증… 반도체·운송장비 등 IT 기계류 견인</p>
<p>- 소매판매 -2.4% 급감… 승용차·가전 등 내구재 소비 심각한 위축</p>
<p>
   <br />
</p>
<p>대한민국 경제가 IT 제조·설비투자의 강력한 회복세와 내수 소비 위축이 정면으로 충돌하는 '뚜렷한 비동조화(디커플링)' 국면에 진입했다.</p>
<p>
   <br />
</p>
<p>국가데이터처가 31일 발표한 '2026년 7월 산업활동동향'에 따르면 전체 산업 생산은 전월과 동일한 보합(0.0%)을 기록했으나, 내부를 들여다보면 제조업과 설비투자의 폭발적 성장이 서비스업과 소비의 침체를 겨우 방어하고 있는 구조다.</p>
<p>
   <br />
</p>
<p>
   <b>■ IT·OLED '제조업 훈풍' vs 서비스업·건설 '칼바람'</b>
</p>
<p>7월 전산업생산지수는 서비스업(-1.3%)과 건설업(-1.1%)의 감소세에도 불구하고 광공업(0.2%)과 공공행정(10.4%)의 반등에 힘입어 전월 수준을 유지했다. 광공업 생산을 이끈 주역은 단연 전자부품(20.7%)과 1차금속(4.2%)이다. OLED 및 인쇄회로기판(PCB) 생산이 가파르게 증가하며 제조업 평균가동률을 74.9%로 전월 대비 0.2%p 끌어올렸다.</p>
<p>
   <br />
</p>
<p>반면 자영업 및 민간 경기와 직결된 서비스업은 금융·보험(-4.8%), 전문·과학·기술(-2.7%)의 실적 악화로 1.3% 후퇴했다. 특히 건설기성(불변)은 건축 공실적이 급감하며 전월 대비 -1.1%, 전년 동월 대비 -3.2%를 기록해 건설 경기 한파가 지속되고 있음을 보여줬다.</p>
<p><br /></p>
<p>&nbsp;</p>
<table data-path-to-node="12" style="margin-bottom: 32px; font-family: " google="" sans="" text",="" sans-serif="" !important;="" line-height:="" 1.15="" margin-top:="" 0px="" !important;"="">
   <thead style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">주요 지표</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 5월</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 6월</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 7월 (p)</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">증감 요인 및 특이사항</strong></td>
         </tr>
      </thead>
   <tbody style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">전산업생산 (전월비)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.4%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.4%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,1,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.0%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,1,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">서비스업 감소 vs 광공업·공공행정 증가 상쇄</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,2,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">광공업 생산</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-3.0%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">6.7%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,2,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.2%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,2,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">전자부품(+20.7%), 1차금속(+4.2%) 견인</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,3,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">소매판매 (소비)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.1%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.7%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,3,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-2.4%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,3,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">승용차·가전 등 내구재(-7.7%) 급감</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,4,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">설비투자</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.1%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">6.9%</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,4,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">7.5%</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,4,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">반도체 장비(+4.2%), 기타운송장비(+15.4%)</span></td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,5,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">동행지수 순환변동치</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">99.9</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">100.4</span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="12,5,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">101.2 (+0.8p)</b></span></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><span data-path-to-node="12,5,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;">수입액, 내수출하지수 증가 영향</span></td>
         </tr>
      </tbody>
   </table>
<p>
   <b>■ 설비투자 7.5% '폭발'… 반도체·운송장비가 주도</b>
</p>
<p>투동향에서는 매우 긍정적인 신호가 포착됐다. 7월 설비투자는 전월 대비 7.5% 증가하며 두 달 연속 가파른 상승세를 나타냈다. 전년 동월 대비로는 무려 24.9% 증가한 수치다.선박 및 항공기 도입에 따른 기타운송장비(15.4%) 투자 확대와 더불어 반도체 제조용 기계 등 기계류(4.2%) 투자가 대폭 늘어난 결과다. 국내기계수주 역시 민간 제조업(+47.9%)의 발주 폭증으로 전년 동월 대비 25.4% 늘어 향후 제조업 설비 확장 기대감을 높였다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 고물가·고금리 여파? 소매판매 -2.4% '얼어붙은 소비'</b>
</p>
<p>투자 활황과 달리 소비지표인 소매판매액지수는 전월 대비 2.4% 감소하며 급격한 냉각기를 나타냈다. 내구재(-7.7%), 준내구재(-1.4%), 비내구재(-0.1%) 전 품목에서 판매가 축소됐다. 특히 승용차, 가전제품, 통신기기 등 고가 내구재 소비가 큰 폭으로 줄어든 점은 가계의 지출 여력과 소비 심리가 대폭 위축되었음을 반증한다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 데이터프레스의 눈</b>
</p>
<p>현재 한국 경제는 '수출·투자 주도형 온기'가 민간 소비와 건설 현장 등 '바닥 경제'로 전해지지 않는 양극화 심화 상태다. 동행지수 순환변동치(101.2, +0.8p)와 선행지수 순환변동치(104.2, +0.4p)가 동시에 상승하며 전체 경기 국면은 회복세를 가리키고 있으나, 내수 소비 진작을 위한 맞춤형 정책 수립이 병행되지 않는다면 체감 경기와의 갭은 지속될 전망이다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224396933535" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224396933535</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-09-01T08:59:10+09:00</atom:updated>
<atom:published>2026-09-01T08:53:57+09:00</atom:published>
</item>
<item>
<guid>2595</guid>
<title><![CDATA[인터엑스, 울산서 제조AX 전환 본격 드라이브… ‘다시 제조, 다시 대한민국’ 확산 나선다]]></title>
<link>https://datapress.kr/news/view.php?no=2595</link>
<mobile>https://datapress.kr/m/view.php?no=2595</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2595" rel="related"/>
<description><![CDATA[
   

대한민국 대표 제조도시에서 지역 산업과 AX 협력 확대… 제조 경쟁력 재도약 위한 산업 캠페인 확산
WAVE 2026 기점으로 지역 제조기업·기술 파트너와 Enterprise AX 생태계 확장
&amp;#038;nbsp;
2026년 8월 31일 -- AX 자율제조 전문기업 인터엑스(INTERX, 대표 박정윤)가 대한민국 대표 제조도시 울산을 기점으로 제조산업의 AX 전환을 본격 가속한다.

   

인터엑스는 오는 9월 10일부터 12일까지 울산전시컨벤션센터(UECO)에서 열리는 ‘울산세계미래산업박람회 WAVE 2026’을 통해 지역 제조기업 및 기술 파트너와 함께 구축해 온 제조AX 기술과 실증 사례, Enterprise AX(EAX) 생태계를 선보이고 ‘다시 제조, 다시 대한민국’ 캠페인 확산에 본격적인 드라이브를 건다.
WAVE 2026은 AI·디지털 혁신, 미래 모빌리티, 조선·방산·첨단소재, 청정에너지 등 울산의 주력산업과 미래기술을 아우르는 산업 박람회로 약 110개사, 400개 부스 규모로 개최된다.

   


   ■ 대한민국 대표 제조도시 울산에서 제조AX 전환 가속

울산은 자동차·조선·석유화학 등 대한민국 제조산업의 성장을 이끌어 온 대표 산업도시다.
인터엑스는 울산 지역 제조기업 및 산업 파트너와 협력해 제조 현장의 AX 전환을 추진하고, 실제 산업 환경에서 기술을 실증하며 적용 범위를 확대해 왔다. 개별 기업의 AI 도입을 넘어 기업과 기술, 파트너가 함께 성장하는 제조AX 생태계를 구축하는 것이 목표다.

   

이번 WAVE 2026 역시 단순한 전시 참가를 넘어 울산에서 축적한 제조AX 경험과 성과를 다른 산업과 지역으로 확산하고, 대한민국 제조산업 전체의 AX 전환을 가속하기 위한 전략적 기점이다.

   


   ■ 개별 AI 넘어 기업 전체 연결하는 ‘Enterprise AX’

인터엑스가 이번 전시에서 제시하는 핵심은 ‘Enterprise AX(EAX)’다.

   

Enterprise AX는 특정 공정이나 업무에 AI를 부분 적용하는 것을 넘어 제조 현장에서 기업 운영까지 데이터를 연결하고, AI가 이를 학습·판단·실행할 수 있도록 기업 전체의 구조를 전환하는 접근이다.

   

인터엑스는 제조 데이터, 제조 특화 Foundation Model과 기업 특화 AI 모델, AI Agent, Physical AI 등 핵심 기술을 하나의 구조로 연결하는 Enterprise AX 아키텍처를 구축하고 실제 제조 현장에서 적용·실증을 확대하고 있다.
이를 통해 산발적으로 적용되던 제조 AI 기술을 기업 전체의 생산성과 경쟁력 향상으로 연결하는 제조AX의 새로운 기준을 제시한다는 전략이다.

   


   ■ INTERX 중심의 ‘Enterprise AX Ecosystem’

이번 전시의 핵심 콘셉트 역시 ‘Enterprise AX Ecosystem’이다.

   

INTERX Core를 중심으로 기술 협력 브랜드, 지역 파트너, 산업별 솔루션과 적용 사례를 연결해 제조AX가 다양한 산업 주체의 협력을 통해 구현되고 확장되는 구조를 보여준다.
각 협력 브랜드와 파트너 역시 독립된 전시 요소가 아니라 INTERX와 어떤 영역에서 협력하고 제조AX 생태계에서 어떤 역할을 담당하는지 직관적으로 확인할 수 있도록 구성한다.

   

인터엑스는 향후 기술·솔루션·세일즈·컨설팅 등 분야별 전문 파트너와 협력 체계를 확대하며 Enterprise AX 생태계를 지속 확장할 계획이다.

   


   ■ ‘다시 제조, 다시 대한민국’… 제조산업 AX Shift 주도

‘다시 제조, 다시 대한민국’은 대한민국 제조업의 새로운 도약을 제조AX에서 찾자는 인터엑스의 산업 캠페인이다.

   

‘다시 제조’에는 AI를 통해 제조 경쟁력을 다시 설계한다는 의미를, ‘다시 대한민국’에는 제조업의 혁신을 대한민국 산업 경쟁력의 새로운 성장으로 연결하겠다는 의지를 담았다.

   

인터엑스는 울산의 제조기업과 산업 파트너들과 함께 이러한 변화를 실제 현장에서 만들어가고, 그 경험과 성과를 대한민국 제조산업 전체로 확산해 제조산업의 AX Shift를 주도한다는 계획이다.

   

WAVE 2026은 이러한 움직임에 본격적인 속도를 더하는 출발점이다.
행사 기간 박정윤 대표와 김재성 CBO도 주요 산업 컨퍼런스와 포럼에 참여해 제조AX·자율제조·Physical AI를 중심으로 미래 제조산업의 방향과 실행 전략을 공유할 예정이다.

   

박정윤 인터엑스 대표는 “대한민국 제조업은 이제 개별적인 AI 도입을 넘어 기업 전체의 구조를 AX로 전환해야 하는 시점”이라며 “울산의 제조기업 및 산업 파트너들과 함께 이러한 변화를 실제 현장에서 만들고 그 성과를 대한민국 제조산업 전체로 확산시키겠다”고 말했다.

   

이어 “WAVE 2026을 기점으로 ‘다시 제조, 다시 대한민국’ 캠페인에 더욱 강한 드라이브를 걸고, 제조AX가 대한민국 제조 경쟁력의 새로운 성장동력이 될 수 있도록 산업의 전환을 주도해 나가겠다”고 밝혔다.

   

인터엑스는 WAVE 2026을 시작으로 지역 제조기업과 기술 파트너를 연결하는 Enterprise AX 생태계를 확대하고, 제조 현장에서 축적한 기술과 실증 경쟁력을 기반으로 대한민국 제조산업 전반의 AX 전환을 가속해 나갈 계획이다.

   


   [인터엑스 소개]

인터엑스(INTERX)는 AI가 제조 공정을 스스로 판단·제어하는 자율제조 기술을 개발하는 AX 자율제조 솔루션 전문기업이다. 데이터 수집부터 AI 모델 학습, 서비스 운영까지 전 주기를 통합하는 AX 자율제조 플랫폼 기술을 독자적으로 구축하고, 제조 데이터 표준화부터 제품의 기획, 설계, 생산, 공급에 이르는 전 과정을 지능 자율화하며 제조 방식의 전환을 이끌고 제조 AX 시대를 선도하고 있다.

   

웹사이트: http://interxlab.com/
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224395994655

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260831134540_xtxmyqka.jpg" alt="인터엑스.JPG" style="width: 454px; height: 640px;" />
</p>
<p>대한민국 대표 제조도시에서 지역 산업과 AX 협력 확대… 제조 경쟁력 재도약 위한 산업 캠페인 확산</p>
<p>WAVE 2026 기점으로 지역 제조기업·기술 파트너와 Enterprise AX 생태계 확장</p>
<p>&nbsp;</p>
<p>2026년 8월 31일 -- AX 자율제조 전문기업 인터엑스(INTERX, 대표 박정윤)가 대한민국 대표 제조도시 울산을 기점으로 제조산업의 AX 전환을 본격 가속한다.</p>
<p>
   <br />
</p>
<p>인터엑스는 오는 9월 10일부터 12일까지 울산전시컨벤션센터(UECO)에서 열리는 ‘울산세계미래산업박람회 WAVE 2026’을 통해 지역 제조기업 및 기술 파트너와 함께 구축해 온 제조AX 기술과 실증 사례, Enterprise AX(EAX) 생태계를 선보이고 ‘다시 제조, 다시 대한민국’ 캠페인 확산에 본격적인 드라이브를 건다.</p>
<p>WAVE 2026은 AI·디지털 혁신, 미래 모빌리티, 조선·방산·첨단소재, 청정에너지 등 울산의 주력산업과 미래기술을 아우르는 산업 박람회로 약 110개사, 400개 부스 규모로 개최된다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 대한민국 대표 제조도시 울산에서 제조AX 전환 가속</b>
</p>
<p>울산은 자동차·조선·석유화학 등 대한민국 제조산업의 성장을 이끌어 온 대표 산업도시다.</p>
<p>인터엑스는 울산 지역 제조기업 및 산업 파트너와 협력해 제조 현장의 AX 전환을 추진하고, 실제 산업 환경에서 기술을 실증하며 적용 범위를 확대해 왔다. 개별 기업의 AI 도입을 넘어 기업과 기술, 파트너가 함께 성장하는 제조AX 생태계를 구축하는 것이 목표다.</p>
<p>
   <br />
</p>
<p>이번 WAVE 2026 역시 단순한 전시 참가를 넘어 울산에서 축적한 제조AX 경험과 성과를 다른 산업과 지역으로 확산하고, 대한민국 제조산업 전체의 AX 전환을 가속하기 위한 전략적 기점이다.</p>
<p>
   <br />
</p>
<p>
   <b>■ 개별 AI 넘어 기업 전체 연결하는 ‘Enterprise AX’</b>
</p>
<p>인터엑스가 이번 전시에서 제시하는 핵심은 ‘Enterprise AX(EAX)’다.</p>
<p>
   <br />
</p>
<p>Enterprise AX는 특정 공정이나 업무에 AI를 부분 적용하는 것을 넘어 제조 현장에서 기업 운영까지 데이터를 연결하고, AI가 이를 학습·판단·실행할 수 있도록 기업 전체의 구조를 전환하는 접근이다.</p>
<p>
   <br />
</p>
<p>인터엑스는 제조 데이터, 제조 특화 Foundation Model과 기업 특화 AI 모델, AI Agent, Physical AI 등 핵심 기술을 하나의 구조로 연결하는 Enterprise AX 아키텍처를 구축하고 실제 제조 현장에서 적용·실증을 확대하고 있다.</p>
<p>이를 통해 산발적으로 적용되던 제조 AI 기술을 기업 전체의 생산성과 경쟁력 향상으로 연결하는 제조AX의 새로운 기준을 제시한다는 전략이다.</p>
<p>
   <b><br /></b>
</p>
<p>
   <b>■ INTERX 중심의 ‘Enterprise AX Ecosystem’</b>
</p>
<p>이번 전시의 핵심 콘셉트 역시 ‘Enterprise AX Ecosystem’이다.</p>
<p>
   <br />
</p>
<p>INTERX Core를 중심으로 기술 협력 브랜드, 지역 파트너, 산업별 솔루션과 적용 사례를 연결해 제조AX가 다양한 산업 주체의 협력을 통해 구현되고 확장되는 구조를 보여준다.</p>
<p>각 협력 브랜드와 파트너 역시 독립된 전시 요소가 아니라 INTERX와 어떤 영역에서 협력하고 제조AX 생태계에서 어떤 역할을 담당하는지 직관적으로 확인할 수 있도록 구성한다.</p>
<p>
   <br />
</p>
<p>인터엑스는 향후 기술·솔루션·세일즈·컨설팅 등 분야별 전문 파트너와 협력 체계를 확대하며 Enterprise AX 생태계를 지속 확장할 계획이다.</p>
<p>
   <br />
</p>
<p>
   <b>■ ‘다시 제조, 다시 대한민국’… 제조산업 AX Shift 주도</b>
</p>
<p>‘다시 제조, 다시 대한민국’은 대한민국 제조업의 새로운 도약을 제조AX에서 찾자는 인터엑스의 산업 캠페인이다.</p>
<p>
   <br />
</p>
<p>‘다시 제조’에는 AI를 통해 제조 경쟁력을 다시 설계한다는 의미를, ‘다시 대한민국’에는 제조업의 혁신을 대한민국 산업 경쟁력의 새로운 성장으로 연결하겠다는 의지를 담았다.</p>
<p>
   <br />
</p>
<p>인터엑스는 울산의 제조기업과 산업 파트너들과 함께 이러한 변화를 실제 현장에서 만들어가고, 그 경험과 성과를 대한민국 제조산업 전체로 확산해 제조산업의 AX Shift를 주도한다는 계획이다.</p>
<p>
   <br />
</p>
<p>WAVE 2026은 이러한 움직임에 본격적인 속도를 더하는 출발점이다.</p>
<p>행사 기간 박정윤 대표와 김재성 CBO도 주요 산업 컨퍼런스와 포럼에 참여해 제조AX·자율제조·Physical AI를 중심으로 미래 제조산업의 방향과 실행 전략을 공유할 예정이다.</p>
<p>
   <br />
</p>
<p>박정윤 인터엑스 대표는 “대한민국 제조업은 이제 개별적인 AI 도입을 넘어 기업 전체의 구조를 AX로 전환해야 하는 시점”이라며 “울산의 제조기업 및 산업 파트너들과 함께 이러한 변화를 실제 현장에서 만들고 그 성과를 대한민국 제조산업 전체로 확산시키겠다”고 말했다.</p>
<p>
   <br />
</p>
<p>이어 “WAVE 2026을 기점으로 ‘다시 제조, 다시 대한민국’ 캠페인에 더욱 강한 드라이브를 걸고, 제조AX가 대한민국 제조 경쟁력의 새로운 성장동력이 될 수 있도록 산업의 전환을 주도해 나가겠다”고 밝혔다.</p>
<p>
   <br />
</p>
<p>인터엑스는 WAVE 2026을 시작으로 지역 제조기업과 기술 파트너를 연결하는 Enterprise AX 생태계를 확대하고, 제조 현장에서 축적한 기술과 실증 경쟁력을 기반으로 대한민국 제조산업 전반의 AX 전환을 가속해 나갈 계획이다.</p>
<p>
   <br />
</p>
<p>
   <b>[인터엑스 소개]</b>
</p>
<p>인터엑스(INTERX)는 AI가 제조 공정을 스스로 판단·제어하는 자율제조 기술을 개발하는 AX 자율제조 솔루션 전문기업이다. 데이터 수집부터 AI 모델 학습, 서비스 운영까지 전 주기를 통합하는 AX 자율제조 플랫폼 기술을 독자적으로 구축하고, 제조 데이터 표준화부터 제품의 기획, 설계, 생산, 공급에 이르는 전 과정을 지능 자율화하며 제조 방식의 전환을 이끌고 제조 AX 시대를 선도하고 있다.</p>
<p>
   <br />
</p>
<p>웹사이트: <a href="http://interxlab.com/" target="_blank">http://interxlab.com/</a></p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224395994655" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224395994655</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-31T13:50:51+09:00</atom:updated>
<atom:published>2026-08-31T13:46:02+09:00</atom:published>
</item>
<item>
<guid>2594</guid>
<title><![CDATA[월소득 529만 원의 착시… 벌어도 번 게 아닌 가계 '지갑을 닫다']]></title>
<link>https://datapress.kr/news/view.php?no=2594</link>
<mobile>https://datapress.kr/m/view.php?no=2594</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2594" rel="related"/>
<description><![CDATA[
   


   2026년 2분기 가계동향 분석… 명목소득 4.5% 늘었지만 실질소득은 1.5% 증대에 그쳐
   공적이전소득 27.6% 급증이 소득 견인, 근로소득은 0.8% 제자리걸음
   평균소비성향 69.2%로 1.2%p 하락… 불확실성에 흑자액만 늘렸다
   
&amp;#038;nbsp;
대한민국 가구의 명목소득이 500만 원을 넘어 530만 원 선에 다가섰지만, 물가 상승과 고금리 여파로 가계의 실제 살림살이는 여전히 팍팍한 것으로 나타났다. 벌어들인 돈에 비해 소비를 줄이면서 가계 흑자율은 올랐지만, 이는 소비 심리 위축에 따른 ‘소극적 흑자’라는 지적이 나온다.&amp;#038;nbsp;&amp;#038;nbsp;

   

국가데이터처가 27일 발표한 &amp;#039;2026년 2/4분기 가계동향조사 결과&amp;#039;에 따르면, 올해 2분기 가구당 월평균 소득은 529만 5천 원으로 전년 동기 대비 4.5% 증가했다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 소득 증가의 &amp;#039;착시&amp;#039;… 근로소득 0.8% 증가 그쳐

소득 항목을 살펴보면 가계의 주력 수입원인 근로소득은 321만 8천 원으로 전년 대비 0.8% 증가하는 데 그쳤다. 반면 공적이전소득이 27.6% 늘어나면서 전체 이전소득(93만 1천 원, +20.4%)의 급증을 견인했다. 정부의 복지 지출 확대 등이 소득 착시 효과를 만들었을 뿐, 주 소득원의 성장 동력은 약화된 셈이다.&amp;#038;nbsp;&amp;#038;nbsp;

   

물가 효과를 제거한 실질소득 증가율은 1.5%에 머물렀다. 명목소득 상승률(4.5%)과의 격차는 고물가가 가계의 실질 구매력을 침식하고 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

   

■지출 동향: 필수재 지출 늘고, 교통·유흥 줄여
가구당 월평균 가계지출은 399만 3천 원으로 3.0% 증가했다. 이 중 소비지출은 293만 2천 원으로 3.4% 늘었다.&amp;#038;nbsp;&amp;#038;nbsp;

   

소비 지출에서는 가전·가사서비스(17.9%), 오락·문화(7.6%), 음식·숙박(3.5%) 등이 증가한 반면, 교통·운송(-0.5%), 주류·담배(-2.2%) 지출은 감소했다. 특히 비소비지출(106만 원) 항목 중 고금리 영향으로 인한 이자비용이 12.1% 증가하며 가계의 금융 부담이 가중된 것으로 파악됐다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ &amp;#039;지갑 닫는 가계&amp;#039;… 평균소비성향 69.2%로 떨어져

처분가능소득(소득에서 비소비지출을 뺀 금액)은 423만 5천 원으로 5.2% 늘었고, 이에 따라 흑자액은 130만 2천 원으로 9.6% 증가했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

그러나 처분가능소득 중 소비로 쓰인 비율을 뜻하는 평균소비성향은 69.2%로 전년 동기 대비 1.2%p 하락했다. 가계가 소득이 생겨도 소비로 연결하기보다 미래 불확실성과 이자 부담 등으로 인해 흑자액을 쌓아두는 &amp;#039;방어적 소비&amp;#039; 성향을 강화하고 있음을 시사한다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 양극화 심화: 1분위 붉은불 vs 5분위 여유

소득 분위별 격차도 뚜렷하다. 소득 하위 20%(1분위) 가구의 월평균 소득은 128만 3천 원(+7.5%)이었으나 소비지출은 137만 2천 원으로 여전히 적자 살림(평균소비성향 125.3%)을 벗어나지 못했다. 반면 상위 20%(5분위) 가구는 월 1,115만 원을 벌어 519만 9천 원을 소비하며 평균소비성향 60.3%의 여유를 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

   

전문가들은 "이전소득에 의존한 명목소득 증가는 가계의 실질적 소비 여력을 늘리는 데 한계가 있다"며 "고금리·고물가 장기화에 대응해 가계부채 부담을 완화하고 실질소득을 높일 수 있는 정책적 지원이 시급하다"고 지언했다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224392912628

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260828101730_oeuswuza.jpg" alt="가계동향.JPG" style="width: 875px; height: 486px;" />
</p>
<ul>
   <li><b>2026년 2분기 가계동향 분석… 명목소득 4.5% 늘었지만 실질소득은 1.5% 증대에 그쳐</b></li>
   <li><b>공적이전소득 27.6% 급증이 소득 견인, 근로소득은 0.8% 제자리걸음</b></li>
   <li><b>평균소비성향 69.2%로 1.2%p 하락… 불확실성에 흑자액만 늘렸다</b></li>
   </ul>
<p>&nbsp;</p>
<p>대한민국 가구의 명목소득이 500만 원을 넘어 530만 원 선에 다가섰지만, 물가 상승과 고금리 여파로 가계의 실제 살림살이는 여전히 팍팍한 것으로 나타났다. 벌어들인 돈에 비해 소비를 줄이면서 가계 흑자율은 올랐지만, 이는 소비 심리 위축에 따른 ‘소극적 흑자’라는 지적이 나온다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>국가데이터처가 27일 발표한 '2026년 2/4분기 가계동향조사 결과'에 따르면, 올해 2분기 가구당 월평균 소득은 529만 5천 원으로 전년 동기 대비 4.5% 증가했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 소득 증가의 '착시'… 근로소득 0.8% 증가 그쳐</b>
</p>
<p>소득 항목을 살펴보면 가계의 주력 수입원인 근로소득은 321만 8천 원으로 전년 대비 0.8% 증가하는 데 그쳤다. 반면 공적이전소득이 27.6% 늘어나면서 전체 이전소득(93만 1천 원, +20.4%)의 급증을 견인했다. 정부의 복지 지출 확대 등이 소득 착시 효과를 만들었을 뿐, 주 소득원의 성장 동력은 약화된 셈이다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>물가 효과를 제거한 실질소득 증가율은 1.5%에 머물렀다. 명목소득 상승률(4.5%)과의 격차는 고물가가 가계의 실질 구매력을 침식하고 있음을 보여준다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>■<b>지출 동향: 필수재 지출 늘고, 교통·유흥 줄여</b></p>
<p>가구당 월평균 가계지출은 399만 3천 원으로 3.0% 증가했다. 이 중 소비지출은 293만 2천 원으로 3.4% 늘었다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>소비 지출에서는 가전·가사서비스(17.9%), 오락·문화(7.6%), 음식·숙박(3.5%) 등이 증가한 반면, 교통·운송(-0.5%), 주류·담배(-2.2%) 지출은 감소했다. 특히 비소비지출(106만 원) 항목 중 고금리 영향으로 인한 이자비용이 12.1% 증가하며 가계의 금융 부담이 가중된 것으로 파악됐다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ '지갑 닫는 가계'… 평균소비성향 69.2%로 떨어져</b>
</p>
<p>처분가능소득(소득에서 비소비지출을 뺀 금액)은 423만 5천 원으로 5.2% 늘었고, 이에 따라 흑자액은 130만 2천 원으로 9.6% 증가했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>그러나 처분가능소득 중 소비로 쓰인 비율을 뜻하는 평균소비성향은 69.2%로 전년 동기 대비 1.2%p 하락했다. 가계가 소득이 생겨도 소비로 연결하기보다 미래 불확실성과 이자 부담 등으로 인해 흑자액을 쌓아두는 '방어적 소비' 성향을 강화하고 있음을 시사한다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 양극화 심화: 1분위 붉은불 vs 5분위 여유</b>
</p>
<p>소득 분위별 격차도 뚜렷하다. 소득 하위 20%(1분위) 가구의 월평균 소득은 128만 3천 원(+7.5%)이었으나 소비지출은 137만 2천 원으로 여전히 적자 살림(평균소비성향 125.3%)을 벗어나지 못했다. 반면 상위 20%(5분위) 가구는 월 1,115만 원을 벌어 519만 9천 원을 소비하며 평균소비성향 60.3%의 여유를 보였다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>전문가들은 "이전소득에 의존한 명목소득 증가는 가계의 실질적 소비 여력을 늘리는 데 한계가 있다"며 "고금리·고물가 장기화에 대응해 가계부채 부담을 완화하고 실질소득을 높일 수 있는 정책적 지원이 시급하다"고 지언했다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224392912628" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224392912628</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-28T10:28:55+09:00</atom:updated>
<atom:published>2026-08-28T10:21:59+09:00</atom:published>
</item>
<item>
<guid>2593</guid>
<title><![CDATA[한은, 올해 성장률 3.3% 상향… 경상수지 4,500억 달러 ‘역대 최대’ 전망]]></title>
<link>https://datapress.kr/news/view.php?no=2593</link>
<mobile>https://datapress.kr/m/view.php?no=2593</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2593" rel="related"/>
<description><![CDATA[
한국은행이 2026년 우리나라 실질 국내총생산(GDP) 성장률 전망치를 기존 2.6%에서 3.3%로 0.7%포인트 대폭 상향 조정했다. 글로벌 AI 투자 광풍에 따른 반도체 경기 초호황과 그에 따른 수출·설비투자 확대, 내수 회복세가 우리 경제의 성장을 강력하게 견인한 결과다.&amp;#038;nbsp;&amp;#038;nbsp;

특히 반도체 수출 급증에 힘입어 올해 경상수지 흑자 규모는 4,500억 달러에 달할 것으로 전망됐다. 이는 종전 최대치였던 지난해(1,231억 달러) 기록을 대대적으로 갈아치우는 사상 최대 규모다.&amp;#038;nbsp;&amp;#038;nbsp;

■ AI 반도체 붐이 이끈 ‘3%대 성장’… 수출·투자 동반 호조
한국은행이 발표한 &amp;#039;2026년 8월 경제전망&amp;#039;에 따르면, 이번 성장률 상향 폭(+0.7%p) 중 반도체 경기 호조의 기여도가 +0.35%포인트로 절반을 차지했다.&amp;#038;nbsp;&amp;#038;nbsp;

지출 항목별로는 재화수출 증가율 전망치가 기존 4.9%에서 9.7%로 두 배 가깝게 뛰었고, 기업들의 설비투자 증가율 역시 종전 4.4%에서 6.8%로 대폭 상향됐다. 한은은 내년(2027년) GDP 성장률 전망치도 기존 2.1%에서 2.9%로 0.8%포인트 높쳐 잡으며 경제 회복세가 장기화될 것으로 내다봤다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 근원물가 상방 압력 지속… 중동 긴장·AI 투자 속도가 최대 변수
성장세는 가파르지만 물가 경계감은 여전하다. 올해 소비자물가 상승률 전망치는 기존과 같은 2.7%로 유지됐으나, 식료품과 에너지를 제외한 근원물가 상승률은 수요 측 압력이 더해지며 올해 2.5%, 내년 2.5%로 기존보다 각각 0.1%포인트, 0.2%포인트 상향 조정됐다.&amp;#038;nbsp;&amp;#038;nbsp;

한은은 향후 성장 경로를 좌우할 핵심 변수로 &amp;#039;AI 빅테크의 투자 속도&amp;#039;와 &amp;#039;중동 정세&amp;#039;를 제시했다.&amp;#038;nbsp;&amp;#038;nbsp;

에이전틱 AI 확산 등으로 반도체 수요가 폭발하는 낙관 시나리오가 현실화될 경우 올해 성장률은 3.5%까지 치솟을 수 있다. 반면, 중동 지역의 교착상태가 장기화되어 국제유가가 배럴당 95달러까지 급등할 경우, 올해 성장률은 3.2%로 낮아지고 물가상승률은 2.8%까지 오를 것으로 분석됐다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224392871434

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260828094544_dygowkqr.jpg" alt="8월경제전망.JPG" style="width: 875px; height: 492px;" /></p>
<p>한국은행이 2026년 우리나라 실질 국내총생산(GDP) 성장률 전망치를 기존 2.6%에서 3.3%로 0.7%포인트 대폭 상향 조정했다. 글로벌 AI 투자 광풍에 따른 반도체 경기 초호황과 그에 따른 수출·설비투자 확대, 내수 회복세가 우리 경제의 성장을 강력하게 견인한 결과다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>특히 반도체 수출 급증에 힘입어 올해 경상수지 흑자 규모는 4,500억 달러에 달할 것으로 전망됐다. 이는 종전 최대치였던 지난해(1,231억 달러) 기록을 대대적으로 갈아치우는 사상 최대 규모다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ AI 반도체 붐이 이끈 ‘3%대 성장’… 수출·투자 동반 호조</b></p>
<p>한국은행이 발표한 '2026년 8월 경제전망'에 따르면, 이번 성장률 상향 폭(+0.7%p) 중 반도체 경기 호조의 기여도가 +0.35%포인트로 절반을 차지했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>지출 항목별로는 재화수출 증가율 전망치가 기존 4.9%에서 9.7%로 두 배 가깝게 뛰었고, 기업들의 설비투자 증가율 역시 종전 4.4%에서 6.8%로 대폭 상향됐다. 한은은 내년(2027년) GDP 성장률 전망치도 기존 2.1%에서 2.9%로 0.8%포인트 높쳐 잡으며 경제 회복세가 장기화될 것으로 내다봤다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 근원물가 상방 압력 지속… 중동 긴장·AI 투자 속도가 최대 변수</b></p>
<p>성장세는 가파르지만 물가 경계감은 여전하다. 올해 소비자물가 상승률 전망치는 기존과 같은 2.7%로 유지됐으나, 식료품과 에너지를 제외한 근원물가 상승률은 수요 측 압력이 더해지며 올해 2.5%, 내년 2.5%로 기존보다 각각 0.1%포인트, 0.2%포인트 상향 조정됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>한은은 향후 성장 경로를 좌우할 핵심 변수로 'AI 빅테크의 투자 속도'와 '중동 정세'를 제시했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>에이전틱 AI 확산 등으로 반도체 수요가 폭발하는 낙관 시나리오가 현실화될 경우 올해 성장률은 3.5%까지 치솟을 수 있다. 반면, 중동 지역의 교착상태가 장기화되어 국제유가가 배럴당 95달러까지 급등할 경우, 올해 성장률은 3.2%로 낮아지고 물가상승률은 2.8%까지 오를 것으로 분석됐다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224392871434" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224392871434</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-28T09:51:28+09:00</atom:updated>
<atom:published>2026-08-28T09:45:51+09:00</atom:published>
</item>
<item>
<guid>2592</guid>
<title><![CDATA[한은, 기준금리 3.00% 전격 인상… ‘성장률 3.3% 상향’ 속 선제적 물가 잡기 총력]]></title>
<link>https://datapress.kr/news/view.php?no=2592</link>
<mobile>https://datapress.kr/m/view.php?no=2592</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2592" rel="related"/>
<description><![CDATA[한국은행 금융통화위원회가 기준금리를 기존 2.75%에서 3.00%로 0.25%p 전격 인상했다. 반도체 중심의 수출 호조와 내수 회복세에 힘입어 올해 성장률 전망치가 기존 2.6%에서 3.3%로 크게 상향 조정된 반면, 누적된 비용 압력 전이로 물가 불안이 지속되자 선제적 금리 인상 카드를 꺼내 든 것으로 풀이된다.&amp;#038;nbsp;

   

&amp;#038;nbsp;[표 1] 한국은행 주요 경제지표 전망 수정 (2026년 8월 발표)

   
      
         
            
               &amp;#038;nbsp; 구분
               &amp;#038;nbsp; 기존(5월)&amp;#038;nbsp;
               &amp;#038;nbsp; &amp;#038;nbsp;변경(8월)
               &amp;#038;nbsp; 변동폭&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; 2026년 성장률
               &amp;#038;nbsp; 2.6%&amp;#038;nbsp;
               &amp;#038;nbsp; 3.3%&amp;#038;nbsp;
               &amp;#038;nbsp; +0.7%p 상향&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; 2027년 성장률
               &amp;#038;nbsp; 2.1%&amp;#038;nbsp;
               &amp;#038;nbsp; 2.9%&amp;#038;nbsp;
               &amp;#038;nbsp; +0.8%p 상향&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; 2026년 근원물가&amp;#038;nbsp;
               &amp;#038;nbsp; 2.4%&amp;#038;nbsp;
               &amp;#038;nbsp; 2.5%&amp;#038;nbsp;
               &amp;#038;nbsp; +0.1%p 상향&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; 2027년 근원물가&amp;#038;nbsp;
               &amp;#038;nbsp; 2.3%&amp;#038;nbsp;
               &amp;#038;nbsp; 2.5%&amp;#038;nbsp;
               &amp;#038;nbsp; +0.2%p 상향&amp;#038;nbsp;
               
            
         
      


   

■ 성장률 대폭 상향… 경기 과열 속 ‘물가·가계부채’ 동시 압박
한국은행은 이번 인상의 주된 배경으로 견조한 성장세와 상방 리스크가 확대된 근원물가를 꼽았다. 반도체 경기 확장으로 수출과 투자의 높은 증가세가 이어지는 가운데 소득 여건 개선에 따른 소비 회복세도 확대되고 있다. 이에 따라 2026년 실질 GDP 성장률 전망치를 3.3%, 2027년 전망치를 2.9%로 각각 0.7%p, 0.8%p 대폭 올렸다.&amp;#038;nbsp;&amp;#038;nbsp;

하지만 경기의 강한 회복세는 수요 측면의 물가 상승 압력으로 작용하고 있다. 7월 소비자물가 상승률은 2.8%로 낮아졌으나, 근원물가 상승률은 개인서비스 및 내구재 가격 상승으로 2.6%로 높아졌다. 금통위는 금년 및 내년 근원물가 상승률을 기존 전망치(각각 2.4%, 2.3%)를 모두 상회하는 2.5%로 상향 조정했다. 여기에 수도권 주택가격 상승세 지속과 가계대출 증가세 확대 등 금융안정 리스크도 인상 결정의 주요 원인이 됐다.&amp;#038;nbsp;

[표 2] 금통위원 6개월 후 조건부 기준금리 전망 점도표 분포 변화

      
         
            
               &amp;#038;nbsp; &amp;#038;nbsp;금리 수준
               &amp;#038;nbsp; &amp;#038;nbsp;직전 (2026년 5월)
               &amp;#038;nbsp; 금번 (2026년 8월)&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; &amp;#038;nbsp;3.50%
               &amp;#038;nbsp; 0개
               &amp;#038;nbsp; 6개&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; &amp;#038;nbsp;3.25%
               &amp;#038;nbsp; 2개&amp;#038;nbsp;
               &amp;#038;nbsp; 10개&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; &amp;#038;nbsp;3.00%
               &amp;#038;nbsp; 10개&amp;#038;nbsp;
               &amp;#038;nbsp; 5개&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; &amp;#038;nbsp;2.75%
               &amp;#038;nbsp; 7개&amp;#038;nbsp;
               &amp;#038;nbsp; 0개&amp;#038;nbsp;
               
            
               &amp;#038;nbsp; &amp;#038;nbsp;2.50%
               &amp;#038;nbsp; 2개&amp;#038;nbsp;
               &amp;#038;nbsp; 0개&amp;#038;nbsp;
               
            
         
      

■ 금통위원 점도표 ‘매파적’ 이동… 추가 인상 가능성 열어둬
한국은행이 공개한 ‘6개월 후 조건부 금리전망(점도표)’ 분석 결과, 금통위원들의 스탠스가 더욱 매파적(통화기축 선호)으로 변화한 것으로 나타났다. 지난 5월 전망에서는 3.00% 이하를 지지하는 점이 전체 21개 중 19개에 달했으나, 8월 전망에서는 3.25% 이상을 전망한 점이 16개(3.25% 10개, 3.50% 6개)로 급증했다.&amp;#038;nbsp;&amp;#038;nbsp;

이번 금리 인상 결정에는 위원 6명이 찬성표를 던졌으며, 황건일 위원만 2.75% 동결을 주장하는 소수의견을 냈다. 향후 국내외 금융시장 환경과 물가·경기 흐름에 따라 3.25%~3.50% 수준까지 추가 금리 인상이 이뤄질 가능성이 높다는 관측이 나온다.&amp;#038;nbsp;
&amp;#038;nbsp;
데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224392855545
]]></description>
<content:encoded><![CDATA[<p>한국은행 금융통화위원회가 기준금리를 기존 2.75%에서 3.00%로 0.25%p 전격 인상했다. 반도체 중심의 수출 호조와 내수 회복세에 힘입어 올해 성장률 전망치가 기존 2.6%에서 3.3%로 크게 상향 조정된 반면, 누적된 비용 압력 전이로 물가 불안이 지속되자 선제적 금리 인상 카드를 꺼내 든 것으로 풀이된다.&nbsp;</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260828092519_etumwsol.jpg" alt="기준금리.JPG" style="width: 875px; height: 489px;" />
</p>
<p><b>&nbsp;[표 1] 한국은행 주요 경제지표 전망 수정 (2026년 8월 발표)</b></p>
<p>
   <b>
      <table cellpadding="1" cellspacing="0" style="border-color: #000000; border-style: solid; border-width: 1px; border-collapse: collapse; width: 100%;">
         <tbody>
            <tr>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; 구분</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; 기존(5월)&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; &nbsp;변경(8월)</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; 변동폭&nbsp;</td>
               </tr>
            <tr>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2026년 성장률</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.6%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 3.3%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; +0.7%p 상향&nbsp;</td>
               </tr>
            <tr>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2027년 성장률</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.1%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.9%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; +0.8%p 상향&nbsp;</td>
               </tr>
            <tr>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2026년 근원물가&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.4%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.5%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; +0.1%p 상향&nbsp;</td>
               </tr>
            <tr>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2027년 근원물가&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.3%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2.5%&nbsp;</td>
               <td style="border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; +0.2%p 상향&nbsp;</td>
               </tr>
            </tbody>
         </table>
      </b>
</p>
<p>
   <br />
</p>
<p><b>■ 성장률 대폭 상향… 경기 과열 속 ‘물가·가계부채’ 동시 압박</b></p>
<p>한국은행은 이번 인상의 주된 배경으로 견조한 성장세와 상방 리스크가 확대된 근원물가를 꼽았다. 반도체 경기 확장으로 수출과 투자의 높은 증가세가 이어지는 가운데 소득 여건 개선에 따른 소비 회복세도 확대되고 있다. 이에 따라 2026년 실질 GDP 성장률 전망치를 3.3%, 2027년 전망치를 2.9%로 각각 0.7%p, 0.8%p 대폭 올렸다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>하지만 경기의 강한 회복세는 수요 측면의 물가 상승 압력으로 작용하고 있다. 7월 소비자물가 상승률은 2.8%로 낮아졌으나, 근원물가 상승률은 개인서비스 및 내구재 가격 상승으로 2.6%로 높아졌다. 금통위는 금년 및 내년 근원물가 상승률을 기존 전망치(각각 2.4%, 2.3%)를 모두 상회하는 2.5%로 상향 조정했다. 여기에 수도권 주택가격 상승세 지속과 가계대출 증가세 확대 등 금융안정 리스크도 인상 결정의 주요 원인이 됐다.&nbsp;</p>
<p><br /></p>
<p><b>[표 2] 금통위원 6개월 후 조건부 기준금리 전망 점도표 분포 변화</b></p>
<p><b>
      <table cellpadding="1" cellspacing="0" style="border-color: #000000; border-style: solid; border-width: 1px; border-collapse: collapse; width: 100%;">
         <tbody>
            <tr>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; &nbsp;금리 수준</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; &nbsp;직전 (2026년 5월)</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;" bgcolor="#cccccc">&nbsp; 금번 (2026년 8월)&nbsp;</td>
               </tr>
            <tr>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; &nbsp;3.50%</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 0개</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 6개&nbsp;</td>
               </tr>
            <tr>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; &nbsp;3.25%</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2개&nbsp;</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 10개&nbsp;</td>
               </tr>
            <tr>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; &nbsp;3.00%</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 10개&nbsp;</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 5개&nbsp;</td>
               </tr>
            <tr>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; &nbsp;2.75%</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 7개&nbsp;</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 0개&nbsp;</td>
               </tr>
            <tr>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; &nbsp;2.50%</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 2개&nbsp;</td>
               <td style="text-align: left; border-style: solid; border-width: 1px; border-color: #000000;">&nbsp; 0개&nbsp;</td>
               </tr>
            </tbody>
         </table>
      </b></p>
<p><br /></p>
<p><b>■ 금통위원 점도표 ‘매파적’ 이동… 추가 인상 가능성 열어둬</b></p>
<p>한국은행이 공개한 ‘6개월 후 조건부 금리전망(점도표)’ 분석 결과, 금통위원들의 스탠스가 더욱 매파적(통화기축 선호)으로 변화한 것으로 나타났다. 지난 5월 전망에서는 3.00% 이하를 지지하는 점이 전체 21개 중 19개에 달했으나, 8월 전망에서는 3.25% 이상을 전망한 점이 16개(3.25% 10개, 3.50% 6개)로 급증했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>이번 금리 인상 결정에는 위원 6명이 찬성표를 던졌으며, 황건일 위원만 2.75% 동결을 주장하는 소수의견을 냈다. 향후 국내외 금융시장 환경과 물가·경기 흐름에 따라 3.25%~3.50% 수준까지 추가 금리 인상이 이뤄질 가능성이 높다는 관측이 나온다.&nbsp;</p>
<p>&nbsp;</p>
<p><span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224392855545" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224392855545</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-28T09:36:24+09:00</atom:updated>
<atom:published>2026-08-28T09:25:24+09:00</atom:published>
</item>
<item>
<guid>2591</guid>
<title><![CDATA[8년 만의 반등, 0.80선 회복… 출생아 25만 4천 명 '저출생 터널' 탈출 신호탄인가]]></title>
<link>https://datapress.kr/news/view.php?no=2591</link>
<mobile>https://datapress.kr/m/view.php?no=2591</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2591" rel="related"/>
<description><![CDATA[
   결혼·출산 미뤘던 3040의 &amp;#039;더블 펌핑&amp;#039;과 육아 환경 고도화의 역설



대한민국 합계출산율이 8년 만에 의미 있는 반등에 성공하며 0.80명을 기록했다. 국가데이터처가 26일 발표한 &amp;#039;2025년 출생 통계(확정치)&amp;#039;에 따르면, 지난해 총 출생아 수는 25만 4,300명으로 전년(23만 8,300명) 대비 1만 6,000명(6.7%) 증가했다.

2015년(1.24명) 이후 9년 연속 하락하거나 정체했던 합계출산율이 반등함에 따라 인구 지표 비상등에 일단 숨통이 트였다는 평가다. 그러나 수치 이면의 지표들을 세부 분석해 보면 단순한 경사를 넘어선 대한민국 인구 구조의 거대한 체질 변화와 위험 요인이 공존함을 확인할 수 있다.
&amp;#038;nbsp;
&amp;#038;nbsp;
■ 반등의 주역: 30대 후반 산모와 &amp;#039;늦깎이 첫째아&amp;#039;의 급증
이번 반등을 견인한 핵심 동력은 30대 후반(35~39세) 여성의 출산율 급증과 첫째아 출생 회복이다.

30대 후반 출산율 급상승: 35~39세 여성 인구 1,000명당 출생아 수는 52.1명으로, 전년(46.0명) 대비 무려 13.1%(6.0명) 늘어났다. 30대 초반(30~34세) 출산율 역시 73.1명으로 전년 대비 4.0% 증가하며 견조한 상승세를 보였다.

첫째아 출생 비중 62.4% 사상 최고: 첫째아 출생은 15만 8,700명으로 전년 대비 8.6%(1만 2,600명) 증가했다. 둘째아는 4.4% 증가한 7만 9,200명에 그쳐, 이번 출생아 수 반등의 78.8%가 첫째아 출산에서 비롯된 것으로 분석된다.

이는 코로나19 팬데믹 기간 미뤄졌던 혼인 건수가 2022~2023년에 걸쳐 회복되면서, 30대 신혼부부들의 &amp;#039;지연된 첫째 출산&amp;#039;이 한꺼번에 몰린 &amp;#039;이월 효과(Postponement Effect)&amp;#039;가 주요했던 것으로 풀이된다. 첫째아 출산 시 평균 결혼생활 기간은 2.4년이며, 결혼 2년 이내 첫째아를 낳는 비중이 53.2%에 달해 출산 결심 및 실행 속도가 빨라졌음을 보여준다.

■ 고령 산모 37.3% 돌파와 &amp;#039;쌍둥이·조산아&amp;#039; 급증의 의료적 리스크
반등의 그늘에는 산모의 고령화와 그에 따른 신생아 및 산모의 건강 리스크 심화라는 엄중한 과제가 놓여 있다.

△ 출산연령 역대 최고: 모(母)의 평균 출산연령은 33.8세로 전년보다 0.2세 상승했으며, 첫째아 기준 33.2세, 셋째아는 35.8세에 달했다. 35세 이상 고령 산모 비중은 37.3%로 10년 전(2015년 23.9%) 대비 13.4%p나 급증했다.

△ 다태아(쌍둥이 이상) 및 조산아 비율 급증: 고령 출산 및 난임 시술 증가의 영향으로 총 출생아 중 다태아 비중은 6.1%로 역대 최고치를 기록했다. 35~39세 산모의 다태아 비중은 9.5%에 육박한다.

△ 조산아(10.8%) 및 저체중아(8.1%) 위험: 다태아의 73.7%가 임신 37주 미만에 출생하면서, 전체 37주 미만 조산아 비중은 10.8%로 10년 전(6.9%) 대비 1.56배 증가했다. 출생 체중 2.5kg 미만 저체중아 비중 역시 8.1%로 10년 전(5.7%) 대비 1.4배 늘었다.


■ 지방의 선전과 수도권의 한계… 구조적 정책 제언
시도별 합계출산율을 살펴보면 전남(1.09명)과 세종(1.06명)이 1.0명 선을 상회하며 선전한 반면, 서울(0.63명)과 부산(0.74명)은 여전히 극심한 저출생에 시달리고 있다. 시군구 단위에서는 전남 영광군(1.79명), 장성군(1.69명)이 최고치를 기록한 반면, 부산 중구(0.36명), 서울 관악구(0.43명)는 최하위 수준에 머물렀다.

[데이터프레스의 눈]
2025년 합계출산율 0.80명 반등은 매우 반가운 단비지만, 유배우 가구의 &amp;#039;혼인 지연분 이월&amp;#039;에 기댄 측면이 크다. 20대 유배우율 자체가 급감한 상황에서 기혼 가구의 출산만으로는 지속 가능한 인구 반등에 한계가 있다.&amp;#038;nbsp;
&amp;#038;nbsp;
따라서 정부와 지자체는 단순한 단기 출산장려금 지급을 넘어 ① 청년층의 주거 비용 및 진입 장벽 완화, ② 고위험 산모 및 신생아 집중치료실(NICU) 등 의료 인프라의 획기적 확충, ③ 대도시 인프라 과밀화 해소라는 구조적 수술을 병행해야 한다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식 블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224391662160

]]></description>
<content:encoded><![CDATA[<p>
   <b>결혼·출산 미뤘던 3040의 '더블 펌핑'과 육아 환경 고도화의 역설</b>
</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260827085506_grssxwbi.jpg" alt="출생통계.JPG" style="width: 875px; height: 489px;" /></p>
<p>대한민국 합계출산율이 8년 만에 의미 있는 반등에 성공하며 0.80명을 기록했다. 국가데이터처가 26일 발표한 '2025년 출생 통계(확정치)'에 따르면, 지난해 총 출생아 수는 25만 4,300명으로 전년(23만 8,300명) 대비 1만 6,000명(6.7%) 증가했다.</p>
<p><br /></p>
<p>2015년(1.24명) 이후 9년 연속 하락하거나 정체했던 합계출산율이 반등함에 따라 인구 지표 비상등에 일단 숨통이 트였다는 평가다. 그러나 수치 이면의 지표들을 세부 분석해 보면 단순한 경사를 넘어선 대한민국 인구 구조의 거대한 체질 변화와 위험 요인이 공존함을 확인할 수 있다.</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<b>■ 반등의 주역: 30대 후반 산모와 '늦깎이 첫째아'의 급증</b>
<p>이번 반등을 견인한 핵심 동력은 30대 후반(35~39세) 여성의 출산율 급증과 첫째아 출생 회복이다.</p>
<p><br /></p>
<p>30대 후반 출산율 급상승: 35~39세 여성 인구 1,000명당 출생아 수는 52.1명으로, 전년(46.0명) 대비 무려 13.1%(6.0명) 늘어났다. 30대 초반(30~34세) 출산율 역시 73.1명으로 전년 대비 4.0% 증가하며 견조한 상승세를 보였다.</p>
<p><br /></p>
<p>첫째아 출생 비중 62.4% 사상 최고: 첫째아 출생은 15만 8,700명으로 전년 대비 8.6%(1만 2,600명) 증가했다. 둘째아는 4.4% 증가한 7만 9,200명에 그쳐, 이번 출생아 수 반등의 78.8%가 첫째아 출산에서 비롯된 것으로 분석된다.</p>
<p><br /></p>
<p>이는 코로나19 팬데믹 기간 미뤄졌던 혼인 건수가 2022~2023년에 걸쳐 회복되면서, 30대 신혼부부들의 '지연된 첫째 출산'이 한꺼번에 몰린 '이월 효과(Postponement Effect)'가 주요했던 것으로 풀이된다. 첫째아 출산 시 평균 결혼생활 기간은 2.4년이며, 결혼 2년 이내 첫째아를 낳는 비중이 53.2%에 달해 출산 결심 및 실행 속도가 빨라졌음을 보여준다.</p>
<p><br /></p>
<p><b>■ 고령 산모 37.3% 돌파와 '쌍둥이·조산아' 급증의 의료적 리스크</b></p>
<p>반등의 그늘에는 산모의 고령화와 그에 따른 신생아 및 산모의 건강 리스크 심화라는 엄중한 과제가 놓여 있다.</p>
<p><br /></p>
<p><b>△ 출산연령 역대 최고</b>: 모(母)의 평균 출산연령은 33.8세로 전년보다 0.2세 상승했으며, 첫째아 기준 33.2세, 셋째아는 35.8세에 달했다. 35세 이상 고령 산모 비중은 37.3%로 10년 전(2015년 23.9%) 대비 13.4%p나 급증했다.
</p>
<p><b>△ 다태아(쌍둥이 이상) 및 조산아 비율 급증</b>: 고령 출산 및 난임 시술 증가의 영향으로 총 출생아 중 다태아 비중은 6.1%로 역대 최고치를 기록했다. 35~39세 산모의 다태아 비중은 9.5%에 육박한다.
</p>
<p><b>△ 조산아(10.8%) 및 저체중아(8.1%) 위험</b>: 다태아의 73.7%가 임신 37주 미만에 출생하면서, 전체 37주 미만 조산아 비중은 10.8%로 10년 전(6.9%) 대비 1.56배 증가했다. 출생 체중 2.5kg 미만 저체중아 비중 역시 8.1%로 10년 전(5.7%) 대비 1.4배 늘었다.
</p>
<p><br /></p>
<p><b>■ 지방의 선전과 수도권의 한계… 구조적 정책 제언</b></p>
<p>시도별 합계출산율을 살펴보면 전남(1.09명)과 세종(1.06명)이 1.0명 선을 상회하며 선전한 반면, 서울(0.63명)과 부산(0.74명)은 여전히 극심한 저출생에 시달리고 있다. 시군구 단위에서는 전남 영광군(1.79명), 장성군(1.69명)이 최고치를 기록한 반면, 부산 중구(0.36명), 서울 관악구(0.43명)는 최하위 수준에 머물렀다.</p>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>2025년 합계출산율 0.80명 반등은 매우 반가운 단비지만, 유배우 가구의 '혼인 지연분 이월'에 기댄 측면이 크다. 20대 유배우율 자체가 급감한 상황에서 기혼 가구의 출산만으로는 지속 가능한 인구 반등에 한계가 있다.&nbsp;</p>
<p>&nbsp;</p>
<p>따라서 정부와 지자체는 단순한 단기 출산장려금 지급을 넘어 ① 청년층의 주거 비용 및 진입 장벽 완화, ② 고위험 산모 및 신생아 집중치료실(NICU) 등 의료 인프라의 획기적 확충, ③ 대도시 인프라 과밀화 해소라는 구조적 수술을 병행해야 한다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식 블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224391662160" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224391662160</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-27T09:11:40+09:00</atom:updated>
<atom:published>2026-08-27T08:55:17+09:00</atom:published>
</item>
<item>
<guid>2590</guid>
<title><![CDATA[8월 기업심리 99.6, '기준선 100' 턱밑 추격… 제조업 견인 속 '내수 부진' 경고등]]></title>
<link>https://datapress.kr/news/view.php?no=2590</link>
<mobile>https://datapress.kr/m/view.php?no=2590</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2590" rel="related"/>
<description><![CDATA[
   지수 반등: 8월 전산업 기업심리지수(CBSI)가 99.6을 기록하며 전월 대비 1.1p 상승, 장기평균치(100) 회복에 바짝 다가섰습니다.&amp;#038;nbsp;&amp;#038;nbsp;
   양극화 심화: 제조업(103.8)과 수출기업(108.5)이 체감 경기 회복을 주도한 반면, 비제조업(96.7) 및 내수기업(99.4)은 상대적으로 완만한 회복세를 보였습니다.&amp;#038;nbsp;&amp;#038;nbsp;
   경영 애로: 제조업과 비제조업 모두 ‘내수부진’ 응답 비중이 전월 대비 늘어나며 내수 침체가 경기 회복의 최대 걸림돌로 부상했습니다.&amp;#038;nbsp;&amp;#038;nbsp;
   

한국은행이 26일 발표한 &amp;#039;2026년 8월 기업경기조사 결과 및 경제심리지수(ESI)&amp;#039;에 따르면, 8월 전산업 기업심리지수(CBSI) 실적치는 99.6으로 전월 대비 1.1p 상승했습니다.&amp;#038;nbsp;&amp;#038;nbsp;

CBSI는 장기평균치(2003년 1월~2025년 12월)를 기준값 100으로 하여, 100보다 크면 낙관적, 작으면 비관적임을 나타내는 종합 심리지표입니다. 지수가 100 턱밑까지 바짝 다가서며 경기 회복에 대한 기대감이 커지고 있지만, 세부 지수를 들여다보면 제조업과 비제조업, 수출과 내수 간의 격차가 극명히 갈리는 모습입니다.&amp;#038;nbsp;

&amp;#038;nbsp;[전산업 CBSI 실적 추이]
2026.05월: 98.9&amp;#038;nbsp; ───────┐
2026.06월: 97.7&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; │ 8월 실적 99.6
2026.07월: 98.5&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; ├──────► (전월 대비 +1.1p)
2026.08월: 99.6&amp;#038;nbsp; ───────┘

■ 제조업·수출기업이 이끈 상승세… 비제조업은 상대적 부진
8월 제조업 CBSI는 103.8로 전월 대비 0.6p 상승하며 기준선 100을 뛰어넘어 낙관적 흐름을 유지했습니다. 제품재고(+0.6p)와 자금사정(+0.4p) 개선이 지수 상승을 이끌었습니다.&amp;#038;nbsp;

기업 규모 및 체질별 차이도 뚜렷했습니다.
△ 수출 vs 내수: 8월 수출기업 CBSI는 108.5로 전월 대비 1.0p 오르며 고공행진을 이어간 반면, 내수기업 CBSI는 99.4로 전월(100.0) 대비 0.6p 하락했습니다.&amp;#038;nbsp;&amp;#038;nbsp;

△ 대기업 vs 중소기업: 대기업 CBSI는 103.7, 중소기업 CBSI는 99.8을 기록했습니다.&amp;#038;nbsp;&amp;#038;nbsp;


비제조업 CBSI는 96.7로 전월 대비 1.5p 상승했으나, 여전히 기준선 100을 하회하며 경기 비관론이 우세한 상황입니다. 매출(+0.6p)과 자금사정(+0.5p)의 기여도가 상승을 뒷받침했습니다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 9월 전망 지수 99.6… 제조업 중심의 회복세 지속 기대
다음 달(9월) 전산업 전망 CBSI는 99.6으로 전월 대비 3.1p 큰 폭으로 상승했습니다. 제조업 전망 CBSI가 102.5(+2.0p), 비제조업 전망 CBSI가 97.6(+3.9p)을 기록하며 전반적인 심리 개선이 이어질 것으로 조사되었습니다.&amp;#038;nbsp;&amp;#038;nbsp;

민간 경제주체(기업+소비자)의 심리를 종합한 8월 경제심리지수(ESI) 역시 전월 대비 1.5p 상승한 99.4를 기록했으며, 계절성을 제거한 순환변동치도 96.9로 0.4p 올라 상승 흐름을 나타냈습니다.&amp;#038;nbsp;

[2026년 8월 주요 지표 요약]
- 전산업 CBSI: 99.6 (+1.1p)
- 제조업 CBSI: 103.8 (+0.6p)
- 비제조업 CBSI: 96.7 (+1.5p)
- 경제심리지수(ESI): 99.4 (+1.5p)

■ 최대 애로사항은 ‘내수 부진’… 원자재 가격 부담도 여전
지수는 회복세를 보이고 있지만 기업 현장의 목소리는 여전히 신중합니다.

[경영 애로사항 조사 결과]
△ 제조업: 원자재 가격상승(20.7%)이 가장 큰 어려움으로 꼽혔으나, 내수부진(19.0%) 응답 비중이 전월 대비 2.6%p 급증하며 두 번째로 높은 비중을 차지했습니다.&amp;#038;nbsp;&amp;#038;nbsp;

△ 비제조업: 내수부진(19.4%)이 1위를 기록(전월 대비 +1.0%p)했으며, 불확실한 경제상황(18.0%), 인력난·인건비상승(14.3%)이 뒤를 이었습니다.&amp;#038;nbsp;&amp;#038;nbsp;


[데이터프레스의 눈]
8월 기업경기조사 결과는 수출·제조업 호조에 힘입어 전반적인 기업 심리가 뚜렷한 회복 궤도에 진입했음을 보여줍니다.&amp;#038;nbsp;
그러나 내수 부진에 대한 우려가 제조업과 비제조업 전반에서 동시에 확대되고 있어, 향후 경제 회복세의 지속성은 가계 소비 심리 회복 및 내수 활성화 여부에 달려있을 것으로 전망됩니다.&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224390652966

]]></description>
<content:encoded><![CDATA[<ul>
   <li>지수 반등: 8월 전산업 기업심리지수(CBSI)가 99.6을 기록하며 전월 대비 1.1p 상승, 장기평균치(100) 회복에 바짝 다가섰습니다.&nbsp;&nbsp;</li>
   <li>양극화 심화: 제조업(103.8)과 수출기업(108.5)이 체감 경기 회복을 주도한 반면, 비제조업(96.7) 및 내수기업(99.4)은 상대적으로 완만한 회복세를 보였습니다.&nbsp;&nbsp;</li>
   <li>경영 애로: 제조업과 비제조업 모두 ‘내수부진’ 응답 비중이 전월 대비 늘어나며 내수 침체가 경기 회복의 최대 걸림돌로 부상했습니다.&nbsp;&nbsp;</li>
   </ul>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260826111356_ugrcahtb.jpg" alt="8월 기업경제심리지수.JPG" style="width: 875px; height: 490px;" /></p>
<p>한국은행이 26일 발표한 '2026년 8월 기업경기조사 결과 및 경제심리지수(ESI)'에 따르면, 8월 전산업 기업심리지수(CBSI) 실적치는 99.6으로 전월 대비 1.1p 상승했습니다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>CBSI는 장기평균치(2003년 1월~2025년 12월)를 기준값 100으로 하여, 100보다 크면 낙관적, 작으면 비관적임을 나타내는 종합 심리지표입니다. 지수가 100 턱밑까지 바짝 다가서며 경기 회복에 대한 기대감이 커지고 있지만, 세부 지수를 들여다보면 제조업과 비제조업, 수출과 내수 간의 격차가 극명히 갈리는 모습입니다.&nbsp;</p>
<p><br /></p>
<p>&nbsp;[전산업 CBSI 실적 추이]</p>
<p>2026.05월: 98.9&nbsp; ───────┐</p>
<p>2026.06월: 97.7&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; │ 8월 실적 99.6</p>
<p>2026.07월: 98.5&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; ├──────► (전월 대비 +1.1p)</p>
<p>2026.08월: 99.6&nbsp; ───────┘</p>
<p><br /></p>
<p><b>■ 제조업·수출기업이 이끈 상승세… 비제조업은 상대적 부진</b></p>
<p>8월 제조업 CBSI는 103.8로 전월 대비 0.6p 상승하며 기준선 100을 뛰어넘어 낙관적 흐름을 유지했습니다. 제품재고(+0.6p)와 자금사정(+0.4p) 개선이 지수 상승을 이끌었습니다.&nbsp;</p>
<p><br /></p>
<p>기업 규모 및 체질별 차이도 뚜렷했습니다.</p>
<p><b>△ 수출 vs 내수</b>: 8월 수출기업 CBSI는 108.5로 전월 대비 1.0p 오르며 고공행진을 이어간 반면, 내수기업 CBSI는 99.4로 전월(100.0) 대비 0.6p 하락했습니다.&nbsp;&nbsp;
</p>
<p><b>△ 대기업 vs 중소기업</b>: 대기업 CBSI는 103.7, 중소기업 CBSI는 99.8을 기록했습니다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p>비제조업 CBSI는 96.7로 전월 대비 1.5p 상승했으나, 여전히 기준선 100을 하회하며 경기 비관론이 우세한 상황입니다. 매출(+0.6p)과 자금사정(+0.5p)의 기여도가 상승을 뒷받침했습니다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 9월 전망 지수 99.6… 제조업 중심의 회복세 지속 기대</b></p>
<p>다음 달(9월) 전산업 전망 CBSI는 99.6으로 전월 대비 3.1p 큰 폭으로 상승했습니다. 제조업 전망 CBSI가 102.5(+2.0p), 비제조업 전망 CBSI가 97.6(+3.9p)을 기록하며 전반적인 심리 개선이 이어질 것으로 조사되었습니다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>민간 경제주체(기업+소비자)의 심리를 종합한 8월 경제심리지수(ESI) 역시 전월 대비 1.5p 상승한 99.4를 기록했으며, 계절성을 제거한 순환변동치도 96.9로 0.4p 올라 상승 흐름을 나타냈습니다.&nbsp;</p>
<p><br /></p>
<p><b>[2026년 8월 주요 지표 요약]</b></p>
<p>- 전산업 CBSI: 99.6 (+1.1p)</p>
<p>- 제조업 CBSI: 103.8 (+0.6p)</p>
<p>- 비제조업 CBSI: 96.7 (+1.5p)</p>
<p>- 경제심리지수(ESI): 99.4 (+1.5p)</p>
<p><br /></p>
<p><b>■ 최대 애로사항은 ‘내수 부진’… 원자재 가격 부담도 여전</b></p>
<p>지수는 회복세를 보이고 있지만 기업 현장의 목소리는 여전히 신중합니다.</p>
<p><br /></p>
<p>[경영 애로사항 조사 결과]</p>
<p><b>△ 제조업</b>: 원자재 가격상승(20.7%)이 가장 큰 어려움으로 꼽혔으나, 내수부진(19.0%) 응답 비중이 전월 대비 2.6%p 급증하며 두 번째로 높은 비중을 차지했습니다.&nbsp;&nbsp;
</p>
<p><b>△ 비제조업</b>: 내수부진(19.4%)이 1위를 기록(전월 대비 +1.0%p)했으며, 불확실한 경제상황(18.0%), 인력난·인건비상승(14.3%)이 뒤를 이었습니다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>8월 기업경기조사 결과는 수출·제조업 호조에 힘입어 전반적인 기업 심리가 뚜렷한 회복 궤도에 진입했음을 보여줍니다.&nbsp;</p>
<p>그러나 내수 부진에 대한 우려가 제조업과 비제조업 전반에서 동시에 확대되고 있어, 향후 경제 회복세의 지속성은 가계 소비 심리 회복 및 내수 활성화 여부에 달려있을 것으로 전망됩니다.&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #ff00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224390652966" target="_blank"><span style="color: #ff00ff;">https://blog.naver.com/datapress21/224390652966</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-26T11:26:52+09:00</atom:updated>
<atom:published>2026-08-26T11:16:06+09:00</atom:published>
</item>
<item>
<guid>2589</guid>
<title><![CDATA[3040 영끌족의 멈춰선 집사기… 2분기 차주당 주담대 신규취급액 2,110만 원 급감]]></title>
<link>https://datapress.kr/news/view.php?no=2589</link>
<mobile>https://datapress.kr/m/view.php?no=2589</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2589" rel="related"/>
<description><![CDATA[
   2026년 2분기 한국은행 차주별 가계부채 통계 분석
   신규 가계대출 3,414만 원으로 축소… 40대(-3,537만 원)·수도권(-4,397만 원) 주담대 급감 주도
   기존 대출 잔액은 9,790만 원으로 소폭 증가… 이자 부담 등 기존 차주 짓누르는 대출 잔액
   


부동산 시장의 핵심 구매층인 3040세대의 신규 주택담보대출 실행액이 뚜렷한 감소세를 나타냈다. 고금리 지속과 금융당국의 가계부채 관리 강화 기조 속에서 신규 대출을 통한 부동산 매수 심리가 크게 위축된 것으로 풀이된다.&amp;#038;nbsp;&amp;#038;nbsp;

한국은행이 25일 발표한 ‘2026년 2/4분기 차주별 가계부채 통계(잠정)’에 따르면, 올해 2분기 중 차주당 가계대출 신규취급액은 3,414만 원으로 전분기 대비 128만 원 감소했다.&amp;#038;nbsp;

특히 주택담보대출(주담대)의 감소폭이 두드러졌다. 2분기 차주당 주담대 신규취급액은 2억 829만 원으로, 전분기(2억 2,939만 원) 대비 2,110만 원(-9.2%)이나 급감했다.&amp;#038;nbsp;&amp;#038;nbsp;

[2026년 2분기 차주별 가계부채 주요 지표 Summary]
--------------------------------------------------------------
△ 차주당 가계대출 신규취급액: 3,414만 원 (전분기 대비 -128만 원)
&amp;#038;nbsp; - 주택담보대출 신규: 2억 829만 원 (전분기 대비 -2,110만 원)
&amp;#038;nbsp; - 주담대 감소 주도 계층: 40대(-3,537만 원), 수도권(-4,397만 원), 비은행(-6,122만 원)

△ 차주당 가계대출 잔액: 9,790만 원 (전분기 대비 +50만 원)
&amp;#038;nbsp; - 주택담보대출 잔액: 1억 6,193만 원 (전분기 대비 +187만 원)
&amp;#038;nbsp; - 잔액 증가 주도 계층: 20대(+575만 원), 30대(+409만 원)
--------------------------------------------------------------

■ 40대·수도권·비은행권 중심 주담대 급감… &amp;#039;몸 사리는 매수자들&amp;#039;
이번 통계에서 가장 눈에 띄는 변화는 실수요층인 3040세대와 수도권 지역의 주담대 신규 취급액 절벽 현상이다.&amp;#038;nbsp;&amp;#038;nbsp;

연령대별 차주당 주담대 신규취급액을 살펴보면, 40대가 전분기 대비 3,537만 원 감소한 2억 977만 원을 기록하며 가장 큰 폭의 감소세를 보였다. 30대 역시 2,632만 원 감소한 2억 6,358만 원으로 뒤를 이었다. 다만 전체 주담대 신규취급액 중 30대(43.7%)와 40대(24.5%)가 차지하는 비중은 여전히 68.2%에 달해 주요 차주층임이 확인됐다.&amp;#038;nbsp;&amp;#038;nbsp;

지역별로는 수도권 차주의 주담대 신규취급액이 2억 3,059만 원으로 전분기 대비 4,397만 원이나 급감하며 전국에서 가장 큰 폭으로 하락했다. 강원·제주권(-2,108만 원), 동남권(-942만 원) 등 대부분의 지역에서 감소세가 이어졌다.&amp;#038;nbsp;&amp;#038;nbsp;

금융권역별로는 2금융권 등 비은행권 주담대 신규취급액이 1억 6,682만 원으로 전분기 대비 6,122만 원 폭락했다. 은행권 주담대 신규취급액(2억 1,697만 원, -1,240만 원) 감소폭과 비교했을 때 비은행권 대출 문턱이 상대적으로 대폭 강화되었거나 차주들이 이자 부담으로 인해 비은행권 대출 이용을 자제한 것으로 해석된다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 신규는 줄었지만 기존 짐은 무거워… 잔액은 9,790만 원으로 최고치 경신
신규 대출 취급은 축소됐으나, 기존 대출 차주들의 빚 부담을 나타내는 대출 잔액은 오히려 늘었다.&amp;#038;nbsp;&amp;#038;nbsp;

2026년 2분기 말 차주당 가계대출 잔액은 9,790만 원으로 전분기 대비 50만 원 증가했다. 상품별로는 주담대 잔액이 1억 6,193만 원으로 전분기 대비 187만 원 증가하며 잔액 증가세를 이끌었다.&amp;#038;nbsp;&amp;#038;nbsp;

특히 주담대 잔액은 20대(+575만 원, 2억 394만 원)와 30대(+409만 원, 2억 3,419만 원) 등 청년층을 중심으로 증가폭이 확대됐다. 과거 실행했던 주담대 상환이 원활히 이루어지지 않거나 원리금 상환 부담이 누적되면서 잔액 규모가 커진 것으로 관측된다.&amp;#038;nbsp;&amp;#038;nbsp;

[데이터프레스의 눈] 대출 한파의 그늘… 내집 마련 잔혹사와 리스크 관리 요구
이번 2026년 2분기 가계부채 데이터는 금융시장에 두 가지 중요한 시사점을 던진다.&amp;#038;nbsp;&amp;#038;nbsp;

첫째, &amp;#039;대출 관망세&amp;#039;의 심화다. 3040세대와 수도권을 중심으로 주담대 신규취급액이 대폭 감소했다는 것은, 높은 금리와 가계대출 규제 속에서 무리한 &amp;#039;영끌&amp;#039; 매수가 일단 멈춤 상태에 들어섰음을 뜻한다.&amp;#038;nbsp;&amp;#038;nbsp;


둘째, &amp;#039;기존 차주의 원리금 체증&amp;#039; 문제다. 신규 진입은 줄었지만 주담대 잔액이 1억 6,193만 원까지 늘어난 것은 기존에 빚을 낸 차주들이 고금리 환경에서 원금 상환에 어려움을 겪고 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;


금융 전문가들은 "신규 대출 축소로 가계부채 증가 속도가 조절되는 긍정적 효과가 있는 반면, 기존 차주들의 이자 상환 부담으로 인한 소비 위축 현상이 장기화될 수 있다"며 "향후 금리 향방과 금융당국의 규제 스탠스에 따라 차주들의 빚 상환 여력이 금융시스템 안정성의 핵심 변수가 될 것"이라고 진단했다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224390593284

]]></description>
<content:encoded><![CDATA[<ul>
   <li>2026년 2분기 한국은행 차주별 가계부채 통계 분석</li>
   <li>신규 가계대출 3,414만 원으로 축소… 40대(-3,537만 원)·수도권(-4,397만 원) 주담대 급감 주도</li>
   <li>기존 대출 잔액은 9,790만 원으로 소폭 증가… 이자 부담 등 기존 차주 짓누르는 대출 잔액</li>
   </ul>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260826102932_hurbbnai.jpg" alt="가계부채통계.JPG" style="width: 875px; height: 487px;" /></p>
<p>부동산 시장의 핵심 구매층인 3040세대의 신규 주택담보대출 실행액이 뚜렷한 감소세를 나타냈다. 고금리 지속과 금융당국의 가계부채 관리 강화 기조 속에서 신규 대출을 통한 부동산 매수 심리가 크게 위축된 것으로 풀이된다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>한국은행이 25일 발표한 ‘2026년 2/4분기 차주별 가계부채 통계(잠정)’에 따르면, 올해 2분기 중 차주당 가계대출 신규취급액은 3,414만 원으로 전분기 대비 128만 원 감소했다.&nbsp;</p>
<p><br /></p>
<p>특히 주택담보대출(주담대)의 감소폭이 두드러졌다. 2분기 차주당 주담대 신규취급액은 2억 829만 원으로, 전분기(2억 2,939만 원) 대비 2,110만 원(-9.2%)이나 급감했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>[2026년 2분기 차주별 가계부채 주요 지표 Summary]</b></p>
<p>--------------------------------------------------------------</p>
<p>△ 차주당 가계대출 신규취급액: 3,414만 원 (전분기 대비 -128만 원)</p>
<p>&nbsp; - 주택담보대출 신규: 2억 829만 원 (전분기 대비 -2,110만 원)</p>
<p>&nbsp; - 주담대 감소 주도 계층: 40대(-3,537만 원), 수도권(-4,397만 원), 비은행(-6,122만 원)</p>
<p><br /></p>
<p>△ 차주당 가계대출 잔액: 9,790만 원 (전분기 대비 +50만 원)</p>
<p>&nbsp; - 주택담보대출 잔액: 1억 6,193만 원 (전분기 대비 +187만 원)</p>
<p>&nbsp; - 잔액 증가 주도 계층: 20대(+575만 원), 30대(+409만 원)</p>
<p>--------------------------------------------------------------</p>
<p><br /></p>
<p><b>■ 40대·수도권·비은행권 중심 주담대 급감… '몸 사리는 매수자들'</b></p>
<p>이번 통계에서 가장 눈에 띄는 변화는 실수요층인 3040세대와 수도권 지역의 주담대 신규 취급액 절벽 현상이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>연령대별 차주당 주담대 신규취급액을 살펴보면, 40대가 전분기 대비 3,537만 원 감소한 2억 977만 원을 기록하며 가장 큰 폭의 감소세를 보였다. 30대 역시 2,632만 원 감소한 2억 6,358만 원으로 뒤를 이었다. 다만 전체 주담대 신규취급액 중 30대(43.7%)와 40대(24.5%)가 차지하는 비중은 여전히 68.2%에 달해 주요 차주층임이 확인됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>지역별로는 수도권 차주의 주담대 신규취급액이 2억 3,059만 원으로 전분기 대비 4,397만 원이나 급감하며 전국에서 가장 큰 폭으로 하락했다. 강원·제주권(-2,108만 원), 동남권(-942만 원) 등 대부분의 지역에서 감소세가 이어졌다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>금융권역별로는 2금융권 등 비은행권 주담대 신규취급액이 1억 6,682만 원으로 전분기 대비 6,122만 원 폭락했다. 은행권 주담대 신규취급액(2억 1,697만 원, -1,240만 원) 감소폭과 비교했을 때 비은행권 대출 문턱이 상대적으로 대폭 강화되었거나 차주들이 이자 부담으로 인해 비은행권 대출 이용을 자제한 것으로 해석된다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 신규는 줄었지만 기존 짐은 무거워… 잔액은 9,790만 원으로 최고치 경신</b></p>
<p>신규 대출 취급은 축소됐으나, 기존 대출 차주들의 빚 부담을 나타내는 대출 잔액은 오히려 늘었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>2026년 2분기 말 차주당 가계대출 잔액은 9,790만 원으로 전분기 대비 50만 원 증가했다. 상품별로는 주담대 잔액이 1억 6,193만 원으로 전분기 대비 187만 원 증가하며 잔액 증가세를 이끌었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>특히 주담대 잔액은 20대(+575만 원, 2억 394만 원)와 30대(+409만 원, 2억 3,419만 원) 등 청년층을 중심으로 증가폭이 확대됐다. 과거 실행했던 주담대 상환이 원활히 이루어지지 않거나 원리금 상환 부담이 누적되면서 잔액 규모가 커진 것으로 관측된다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>[데이터프레스의 눈] 대출 한파의 그늘… 내집 마련 잔혹사와 리스크 관리 요구</b></p>
<p>이번 2026년 2분기 가계부채 데이터는 금융시장에 두 가지 중요한 시사점을 던진다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>첫째, '대출 관망세'의 심화다.</b> 3040세대와 수도권을 중심으로 주담대 신규취급액이 대폭 감소했다는 것은, 높은 금리와 가계대출 규제 속에서 무리한 '영끌' 매수가 일단 멈춤 상태에 들어섰음을 뜻한다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p><b>둘째, '기존 차주의 원리금 체증' 문제다.</b> 신규 진입은 줄었지만 주담대 잔액이 1억 6,193만 원까지 늘어난 것은 기존에 빚을 낸 차주들이 고금리 환경에서 원금 상환에 어려움을 겪고 있음을 보여준다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p>금융 전문가들은 "신규 대출 축소로 가계부채 증가 속도가 조절되는 긍정적 효과가 있는 반면, 기존 차주들의 이자 상환 부담으로 인한 소비 위축 현상이 장기화될 수 있다"며 "향후 금리 향방과 금융당국의 규제 스탠스에 따라 차주들의 빚 상환 여력이 금융시스템 안정성의 핵심 변수가 될 것"이라고 진단했다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #ff00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224390593284" target="_blank"><span style="color: #ff00ff;">https://blog.naver.com/datapress21/224390593284</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-26T10:38:25+09:00</atom:updated>
<atom:published>2026-08-26T10:31:26+09:00</atom:published>
</item>
<item>
<guid>2588</guid>
<title><![CDATA[상위 10%만 수령액 100만 원 돌파… 연금 시장의 '부의 양극화' 심화]]></title>
<link>https://datapress.kr/news/view.php?no=2588</link>
<mobile>https://datapress.kr/m/view.php?no=2588</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2588" rel="related"/>
<description><![CDATA[국가데이터처가 발표한 &amp;#039;2024년 연금통계&amp;#039; 결과에 따르면, 대한민국 노년층의 연금 수급률은 91.2%로 고령자 대다수가 연금을 받고 있는 것으로 나타났다. 하지만 수령액의 내실을 들여다보면 성별, 자산, 일자리 유무에 따라 양극화 현상이 뚜렷하게 관측된다.&amp;#038;nbsp;&amp;#038;nbsp;

[2024년 연금통계 핵심 지표]
* 65세 이상 수급률: 91.2% (전년대비 +0.3%p)
* 월평균 수급금액: 73.7만 원 (전년대비 +6.0%)
* 월 수급액 25~50만 원 비중: 46.7% (최다)
* 월 수급액 100만 원 이상 비중: 15.8% (상위권)

   


   ■ 수급액 25~50만 원 구간이 절반… 양적 확대 속 질적 불균형&amp;#038;nbsp;

2024년 기준 65세 이상 연금 수급자는 총 912만 2천 명으로, 월평균 수급금액은 전년 대비 6.0% 증가한 73만 7천 원을 기록했다. 그러나 수급금액 분포를 살펴보면 25만~50만 원 미만 구간이 46.7%로 가장 큰 비중을 차지하고 있으며, 50만 원 미만을 받는 수급자가 전체의 절반을 넘어섰다. 반면 월 100만 원 이상을 수령하는 인원은 15.8%(100~200만 원 9.5%, 200만 원 이상 6.3%)에 불과해 수령 금액의 격차가 확연히 드러났다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 소득·자산 격차가 노후 소득으로 직결

연금 수령액의 격차를 결정짓는 핵심 요인은 성별, 경제활동, 주택 소유 여부로 분석된다.&amp;#038;nbsp;

   


   △ 성별 격차: 남성의 월평균 수급금액은 95만 7천 원인 반면, 여성은 54만 6천 원에 그쳐 남성이 여성보다 약 1.75배 더 많은 연금을 받는 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;


   △ 경제활동 유무: 등록취업자의 월평균 수급액은 82만 7천 원으로, 미등록자(69만 4천 원)보다 높았다.&amp;#038;nbsp;&amp;#038;nbsp;


   △ 부동산 자산: 주택소유자의 월평균 수급액은 91만 4천 원에 달했으나, 주택미소유자는 58만 1천 원에 머물러 자산 보유 여부가 노후 연금 소득에도 영향을 미쳤다. 특히 주택자산가액이 6억~12억 원인 구간의 월평균 수급액은 139만 3천 원에 달했다.&amp;#038;nbsp;&amp;#038;nbsp;


   


   ■ 직역연금 vs 국민연금, 제도별 불균형도 지속

연금 종류별 월평균 수급액을 보면 공무원·군인·사학 연금 등 직역연금이 278만 3천 원으로 가장 높았고, 주택연금(130만 6천 원)과 농지연금(143만 7천 원)이 뒤를 이었다. 반면 가장 많은 대중이 가입한 국민연금의 월평균 수급액은 49만 1천 원, 기초연금은 30만 원 수준에 그쳐 제도 간 수령액 격차 역시 노후 소득 불평등을 가공하는 요인으로 작용하고 있다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224390570451

]]></description>
<content:encoded><![CDATA[<p>국가데이터처가 발표한 '2024년 연금통계' 결과에 따르면, 대한민국 노년층의 연금 수급률은 91.2%로 고령자 대다수가 연금을 받고 있는 것으로 나타났다. 하지만 수령액의 내실을 들여다보면 성별, 자산, 일자리 유무에 따라 양극화 현상이 뚜렷하게 관측된다.&nbsp;&nbsp;</p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260826101728_arrwfwpm.jpg" alt="연금통계.JPG" style="width: 875px; height: 474px;" /></p>
<p style="text-align: left;">[2024년 연금통계 핵심 지표]</p>
<p>* 65세 이상 수급률: 91.2% (전년대비 +0.3%p)</p>
<p>* 월평균 수급금액: 73.7만 원 (전년대비 +6.0%)</p>
<p>* 월 수급액 25~50만 원 비중: 46.7% (최다)</p>
<p>* 월 수급액 100만 원 이상 비중: 15.8% (상위권)</p>
<p>
   <br />
</p>
<p>
   <b>■ 수급액 25~50만 원 구간이 절반… 양적 확대 속 질적 불균형&nbsp;</b>
</p>
<p>2024년 기준 65세 이상 연금 수급자는 총 912만 2천 명으로, 월평균 수급금액은 전년 대비 6.0% 증가한 73만 7천 원을 기록했다. 그러나 수급금액 분포를 살펴보면 25만~50만 원 미만 구간이 46.7%로 가장 큰 비중을 차지하고 있으며, 50만 원 미만을 받는 수급자가 전체의 절반을 넘어섰다. 반면 월 100만 원 이상을 수령하는 인원은 15.8%(100~200만 원 9.5%, 200만 원 이상 6.3%)에 불과해 수령 금액의 격차가 확연히 드러났다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 소득·자산 격차가 노후 소득으로 직결</b>
</p>
<p>연금 수령액의 격차를 결정짓는 핵심 요인은 성별, 경제활동, 주택 소유 여부로 분석된다.&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>△ 성별 격차</b>: 남성의 월평균 수급금액은 95만 7천 원인 반면, 여성은 54만 6천 원에 그쳐 남성이 여성보다 약 1.75배 더 많은 연금을 받는 것으로 나타났다.&nbsp;&nbsp;
</p>
<p>
   <b>△ 경제활동 유무</b>: 등록취업자의 월평균 수급액은 82만 7천 원으로, 미등록자(69만 4천 원)보다 높았다.&nbsp;&nbsp;
</p>
<p>
   <b>△ 부동산 자산</b>: 주택소유자의 월평균 수급액은 91만 4천 원에 달했으나, 주택미소유자는 58만 1천 원에 머물러 자산 보유 여부가 노후 연금 소득에도 영향을 미쳤다. 특히 주택자산가액이 6억~12억 원인 구간의 월평균 수급액은 139만 3천 원에 달했다.&nbsp;&nbsp;
</p>
<p>
   <br />
</p>
<p>
   <b>■ 직역연금 vs 국민연금, 제도별 불균형도 지속</b>
</p>
<p>연금 종류별 월평균 수급액을 보면 공무원·군인·사학 연금 등 직역연금이 278만 3천 원으로 가장 높았고, 주택연금(130만 6천 원)과 농지연금(143만 7천 원)이 뒤를 이었다. 반면 가장 많은 대중이 가입한 국민연금의 월평균 수급액은 49만 1천 원, 기초연금은 30만 원 수준에 그쳐 제도 간 수령액 격차 역시 노후 소득 불평등을 가공하는 요인으로 작용하고 있다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #ff00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224390570451" target="_blank"><span style="color: #ff00ff;">https://blog.naver.com/datapress21/224390570451</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-26T10:19:20+09:00</atom:updated>
<atom:published>2026-08-26T10:13:25+09:00</atom:published>
</item>
<item>
<guid>2587</guid>
<title><![CDATA[Patenty.ai, PATINEX 2026 참가… ‘전문가가 더 전문가다워지는’ 특허 AI 워크스페이스 선보인다]]></title>
<link>https://datapress.kr/news/view.php?no=2587</link>
<mobile>https://datapress.kr/m/view.php?no=2587</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2587" rel="related"/>
<description><![CDATA[
   조사·비교·초안은 AI가, 권리범위와 대응전략은 변리사가 담당하는 사건의 맥락이 끊기지 않는 특허 업무환경 제시

&amp;#038;nbsp;
2026년 8월 24일 --AI 특허 워크스페이스 Patenty.ai가 오는 9월 2일부터 3일까지 롯데호텔 월드 3층에서 열리는 국제특허정보박람회 ‘PATINEX 2026’에 참가한다.

   


   

PATINEX 2026은 ‘AI시대, IP로 완성하다’를 주제로 열리는 특허정보 전문 행사로, 국내외 지식재산 전문가 900여 명이 참여할 예정이다.

   

Patenty.ai는 이번 전시에서 AI가 더 많은 업무를 수행하면서도 변리사의 통제와 검증 가능성을 강화하는 특허 업무 방식을 소개한다.

   

범용 AI는 몇 분 만에 그럴듯한 특허 문서를 만들 수 있다. 그러나 사건의 맥락이 빠진 문장, 확인하기 어려운 판단, 선행기술 조사와 단절된 청구항은 결국 변리사가 다시 검토하고 수정해야 한다. 초안이 빨라진 만큼 검토 부담이 늘어나는 것이 현장의 현실이다. 전문가가 판단의 근거를 확인하고, 권리범위를 수정하고, 최종 결과를 책임질 수 있어야 실무에 사용할 수 있다.

   

Patenty.ai는 이를 문서 생성 속도가 아니라 ‘검증 가능한 업무 과정’의 문제로 보고, 사건의 첫 메모부터 OA 대응까지를 하나의 흐름으로 연결했다.

   

업무는 발명자 상담 메모와 기술자료에서 시작한다. Patenty.ai가 자료를 분석해 발명의 구성과 핵심 요소를 정리하고, 발명 전체와 요소별 선행기술 조사 및 비교 작업을 지원한다. 사용자는 조사 결과와 근거를 검토하면서 보호하고자 하는 권리의 방향과 범위를 직접 결정한다.

   

Patenty.ai는 사용자가 정한 방향을 바탕으로 청구항 설계와 명세서 초안 작성을 지원한다. 이후 출원 전 문서 검수와 수정, 출원 후 OA 분석 및 대응전략 검토까지 하나의 사건 안에서 이어갈 수 있도록 설계됐다.

   

AI는 자료를 정리하고, 조사하고, 비교하고, 초안을 만든다. 변리사는 발명의 본질과 권리범위를 판단하고, 결과를 검증하며, 최종 전략을 확정한다. Patenty.ai가 지향하는 것은 전문가를 대신해 결론을 내리는 자동화가 아니라 전문가가 더 많은 근거를 바탕으로 더 나은 결정을 내릴 수 있도록 돕는 업무 역량의 증강이다.

   

이상민 대표는 “AI가 더 많은 일을 수행할수록 전문가의 역할이 줄어드는 것이 아니라 더욱 분명해진다”며 “방향을 정하고, 결과를 검증하고, 최종 판단을 책임지는 일은 특허 업무에서 누구에게도 넘길 수 없다”고 말했다.

   

이어 “Patenty.ai는 빠른 초안을 만드는 데서 멈추지 않는다”며 “발명의 정리와 선행기술 조사부터 권리범위 설정, 청구항과 명세서 작성, 검수와 OA 대응까지 사건의 맥락이 끊기지 않는 워크스페이스를 만들고 있다”고 설명했다.

   

이상민 대표는 Patenty.ai의 제품 철학을 “AI는 일하고, 변리사는 결정한다”는 말로 요약했다.

   

Patenty.ai는 PATINEX 2026 전시 현장에서 주요 특허 업무 흐름과 제품 기능을 시연하고, 변리사와 기업 IP 담당자를 대상으로 AI 시대의 전문가 중심 특허 업무 방식을 소개할 예정이다.
&amp;#038;nbsp;

   [페이턴티 소개]

페이턴티(Patenty.ai)는 변리사와 기업 IP 전문가를 위한 AI 특허 워크스페이스다. 발명자료 정리, 선행기술 조사, 권리범위 검토, 청구항 설계, 명세서 초안 작성, 출원 전 검수와 출원 후 OA 대응을 하나의 사건 안에서 연결한다. 반복적인 조사와 초안 작업은 AI가 맡고, 중요한 판단은 전문가가 직접 검토·수정·확정한다.

   

페이턴티: https://patenty.ai
웹사이트: https://www.patenty.ai
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224388556156

]]></description>
<content:encoded><![CDATA[<p>
   <b>조사·비교·초안은 AI가, 권리범위와 대응전략은 변리사가 담당하는 사건의 맥락이 끊기지 않는 특허 업무환경 제시</b>
</p>
<p>&nbsp;</p>
<p>2026년 8월 24일 --AI 특허 워크스페이스 Patenty.ai가 오는 9월 2일부터 3일까지 롯데호텔 월드 3층에서 열리는 국제특허정보박람회 ‘PATINEX 2026’에 참가한다.</p>
<p>
   <br />
</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260824151348_gkliocfe.png" alt="3076729528_20260820151114_5343989039.png" style="width: 640px; height: 344px;" />
</p>
<p>PATINEX 2026은 ‘AI시대, IP로 완성하다’를 주제로 열리는 특허정보 전문 행사로, 국내외 지식재산 전문가 900여 명이 참여할 예정이다.</p>
<p>
   <br />
</p>
<p>Patenty.ai는 이번 전시에서 AI가 더 많은 업무를 수행하면서도 변리사의 통제와 검증 가능성을 강화하는 특허 업무 방식을 소개한다.</p>
<p>
   <br />
</p>
<p>범용 AI는 몇 분 만에 그럴듯한 특허 문서를 만들 수 있다. 그러나 사건의 맥락이 빠진 문장, 확인하기 어려운 판단, 선행기술 조사와 단절된 청구항은 결국 변리사가 다시 검토하고 수정해야 한다. 초안이 빨라진 만큼 검토 부담이 늘어나는 것이 현장의 현실이다. 전문가가 판단의 근거를 확인하고, 권리범위를 수정하고, 최종 결과를 책임질 수 있어야 실무에 사용할 수 있다.</p>
<p>
   <br />
</p>
<p>Patenty.ai는 이를 문서 생성 속도가 아니라 ‘검증 가능한 업무 과정’의 문제로 보고, 사건의 첫 메모부터 OA 대응까지를 하나의 흐름으로 연결했다.</p>
<p>
   <br />
</p>
<p>업무는 발명자 상담 메모와 기술자료에서 시작한다. Patenty.ai가 자료를 분석해 발명의 구성과 핵심 요소를 정리하고, 발명 전체와 요소별 선행기술 조사 및 비교 작업을 지원한다. 사용자는 조사 결과와 근거를 검토하면서 보호하고자 하는 권리의 방향과 범위를 직접 결정한다.</p>
<p>
   <br />
</p>
<p>Patenty.ai는 사용자가 정한 방향을 바탕으로 청구항 설계와 명세서 초안 작성을 지원한다. 이후 출원 전 문서 검수와 수정, 출원 후 OA 분석 및 대응전략 검토까지 하나의 사건 안에서 이어갈 수 있도록 설계됐다.</p>
<p>
   <br />
</p>
<p>AI는 자료를 정리하고, 조사하고, 비교하고, 초안을 만든다. 변리사는 발명의 본질과 권리범위를 판단하고, 결과를 검증하며, 최종 전략을 확정한다. Patenty.ai가 지향하는 것은 전문가를 대신해 결론을 내리는 자동화가 아니라 전문가가 더 많은 근거를 바탕으로 더 나은 결정을 내릴 수 있도록 돕는 업무 역량의 증강이다.</p>
<p>
   <br />
</p>
<p>이상민 대표는 “AI가 더 많은 일을 수행할수록 전문가의 역할이 줄어드는 것이 아니라 더욱 분명해진다”며 “방향을 정하고, 결과를 검증하고, 최종 판단을 책임지는 일은 특허 업무에서 누구에게도 넘길 수 없다”고 말했다.</p>
<p>
   <br />
</p>
<p>이어 “Patenty.ai는 빠른 초안을 만드는 데서 멈추지 않는다”며 “발명의 정리와 선행기술 조사부터 권리범위 설정, 청구항과 명세서 작성, 검수와 OA 대응까지 사건의 맥락이 끊기지 않는 워크스페이스를 만들고 있다”고 설명했다.</p>
<p>
   <br />
</p>
<p>이상민 대표는 Patenty.ai의 제품 철학을 “AI는 일하고, 변리사는 결정한다”는 말로 요약했다.</p>
<p>
   <br />
</p>
<p>Patenty.ai는 PATINEX 2026 전시 현장에서 주요 특허 업무 흐름과 제품 기능을 시연하고, 변리사와 기업 IP 담당자를 대상으로 AI 시대의 전문가 중심 특허 업무 방식을 소개할 예정이다.</p>
<p>&nbsp;</p>
<p>
   <b>[페이턴티 소개]</b>
</p>
<p>페이턴티(Patenty.ai)는 변리사와 기업 IP 전문가를 위한 AI 특허 워크스페이스다. 발명자료 정리, 선행기술 조사, 권리범위 검토, 청구항 설계, 명세서 초안 작성, 출원 전 검수와 출원 후 OA 대응을 하나의 사건 안에서 연결한다. 반복적인 조사와 초안 작업은 AI가 맡고, 중요한 판단은 전문가가 직접 검토·수정·확정한다.</p>
<p>
   <br />
</p>
<p>페이턴티: <a href="https://patenty.ai" target="_blank">https://patenty.ai</a></p>
<p>웹사이트: <a href="https://www.patenty.ai" target="_blank">https://www.patenty.ai</a></p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224388556156" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224388556156</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-24T15:23:16+09:00</atom:updated>
<atom:published>2026-08-24T15:18:18+09:00</atom:published>
</item>
<item>
<guid>2586</guid>
<title><![CDATA[100세 시대의 그늘과 과제: 초고령자 8,600명 돌파, ‘집’에서 늙어가고 싶은 그들의 데이터]]></title>
<link>https://datapress.kr/news/view.php?no=2586</link>
<mobile>https://datapress.kr/m/view.php?no=2586</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2586" rel="related"/>
<description><![CDATA[국가데이터처가 발표한 ‘2025 인구주택총조사 100세 이상 고령자조사’ 결과에 따르면, 대한민국 100세 이상 인구는 8,604명으로 10년 전(3,159명) 대비 약 2.7배(172.4%) 급증했다. 인구 10만 명당 100세 이상 고령자 수도 2015년 6.4명에서 2025년 17.3명으로 대폭 늘었다.&amp;#038;nbsp;&amp;#038;nbsp;

이번 조사는 시설이 아닌 가정에서 거주하는 ‘재가(在家) 고령자’ 4,280명의 상세 생활실태 데이터를 포함하고 있어, 초고령화 사회에 진입한 대한민국 정책에 중요한 시사점을 던져준다.&amp;#038;nbsp;&amp;#038;nbsp;


■&amp;#038;nbsp;성비 불균형과 지형의 변화: 여초(女超) 현상과 수도권 집중
100세 이상 인구의 가장 눈에 띄는 특성은 성비 불균형이다. 전체 고령자 중 여성이 83.4%(7,176명)로 절대 다수를 차지했으며, 남성은 16.6%(1,428명)에 불과해 성비는 19.9를 기록했다.&amp;#038;nbsp;&amp;#038;nbsp;

지역별 규모로는 경기도가 2,052명으로 가장 많고, 서울(1,268명), 경북(559명)이 뒤를 이었다. 기초지자체 단위에서는 경기 고양시(188명), 용인시(169명), 수원시(152명) 등 수도권 대도시 상위 10개 지역 중 7곳이 경기도에 집중되어 나타났다. 반면 인구 10만 명당 고령자 비율은 전남(31.8명), 제주(30.4명), 강원(28.6명) 순으로 높아, 인구 고령화 수치는 농어촌 중심 지역에서 훨씬 높게 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;

■&amp;#038;nbsp;70.7%가 "요양시설 거부"... ‘집’에서 늙고 싶지만 환경은 악화
데이터는 대한민국 초고령자들이 지닌 주거와 돌봄에 대한 강한 열망을 보여준다. 향후 건강이 악화되더라도 노인 요양시설에 입소할 의향이 &amp;#039;없다&amp;#039;고 응답한 비율이 70.7%에 달했다. 주요 거부 사유로는 &amp;#039;가족의 직접 돌봄(28.6%)&amp;#039;, &amp;#039;익숙한 집과 환경 선호(23.3%)&amp;#039;, &amp;#039;시설에 대한 거부감(23.0%)&amp;#039;이 꼽혔다.&amp;#038;nbsp;&amp;#038;nbsp;

그러나 현실의 벽은 높다. 재가 고령자 중 47.9%가 집안의 문턱, 계단, 화장실 등 &amp;#039;구조나 설비&amp;#039; 때문에 생활에 불편을 느낀다고 답했다. 주거 편의 시설(안전손잡이, 미끄럼방지 등)을 1개 이상 갖춘 가구가 83.9%에 달함에도 불구하고, 인프라의 절대적 수준은 여전히 부족하다.&amp;#038;nbsp;&amp;#038;nbsp;

돌봄의 주체 역시 가족에게 과중하게 집중되어 있다. 고령자를 돌보는 주체는 자녀 및 그 배우자가 73.5%로 가장 높았으며, 요양보호사 등 유료 수발자는 35.6%였다. 특히 가족 수발자 중에서는 아들(52.4%), 딸(34.9%), 며느리(34.5%) 순으로 여전히 사적 돌봄 부담이 크게 나타나고 있다.&amp;#038;nbsp;&amp;#038;nbsp;

■&amp;#038;nbsp;100세 장수 비결: &amp;#039;소식(小食)&amp;#039;과 &amp;#039;절제&amp;#039;, 그리고 사회적 관계
고령자들이 직접 꼽은 최고 장수 비결은 ‘절제된 식생활(소식 등)’이 59.7%로 1위, ‘규칙적인 생활’이 44.5%로 2위를 차지했다. 유전적 요인(32.1%)이나 정기적 운동(12.0%)보다 평소의 생활 습관이 훨씬 큰 영향을 미친다는 것을 시사한다. 실제 고령자의 75.8%는 평생 음주와 흡연을 모두 하지 않은 것으로 조사됐다.&amp;#038;nbsp;&amp;#038;nbsp;

또한 정신적 건강 유지를 위한 &amp;#039;관계&amp;#039;도 입증됐다. 100세 이상 고령자의 50.8%가 평소 따로 사는 자녀나 이웃, 지인과 월 10회 이상 직접 만나고 있었으며, 평균 만남 횟수는 월 12.7회에 달했다. 87.8%가 가족을 알아보고, 87.4%가 본인의 이름을 정확히 인지하는 높은 인지 상태 수준과도 밀접하게 연결되어 있다.&amp;#038;nbsp;

[데이터프레스의 눈]
이번 인구주택총조사 결과는 단순한 ‘수명 연장’을 넘어 초고령자의 &amp;#039;어디서 어떻게 늙어갈 것인가(Aging in Place)&amp;#039;에 대한 정책적 전환을 촉구한다. 고령자 10명 중 7명은 요양원 대신 집에서 노후를 보내길 희망하지만, 돌봄의 70% 이상을 자녀 세대가 떠안고 있으며 주거 환경 역시 고령 친화적이지 않다.&amp;#038;nbsp;&amp;#038;nbsp;

증가하는 초고령 인구를 감당하기 위해서는 주택 리모델링 지원, 지역사회 통합 돌봄(커뮤니티 케어) 및 유료 요양 인프라의 확충이 시급하다. 개인의 소식·규칙적 습관과 더불어 사회가 돌봄을 함께 나누는 인프라 구축이 병행되어야 &amp;#039;100세 축복&amp;#039;이 완성될 수 있다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224388527300

]]></description>
<content:encoded><![CDATA[<p>국가데이터처가 발표한 ‘2025 인구주택총조사 100세 이상 고령자조사’ 결과에 따르면, 대한민국 100세 이상 인구는 8,604명으로 10년 전(3,159명) 대비 약 2.7배(172.4%) 급증했다. 인구 10만 명당 100세 이상 고령자 수도 2015년 6.4명에서 2025년 17.3명으로 대폭 늘었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>이번 조사는 시설이 아닌 가정에서 거주하는 ‘재가(在家) 고령자’ 4,280명의 상세 생활실태 데이터를 포함하고 있어, 초고령화 사회에 진입한 대한민국 정책에 중요한 시사점을 던져준다.&nbsp;&nbsp;</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260824145141_ruzpgraz.jpg" alt="100세이상 고령자 리포트.JPG" style="width: 875px; height: 486px;" /></p>
<p><b>■&nbsp;성비 불균형과 지형의 변화: 여초(女超) 현상과 수도권 집중</b></p>
<p>100세 이상 인구의 가장 눈에 띄는 특성은 성비 불균형이다. 전체 고령자 중 여성이 83.4%(7,176명)로 절대 다수를 차지했으며, 남성은 16.6%(1,428명)에 불과해 성비는 19.9를 기록했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>지역별 규모로는 경기도가 2,052명으로 가장 많고, 서울(1,268명), 경북(559명)이 뒤를 이었다. 기초지자체 단위에서는 경기 고양시(188명), 용인시(169명), 수원시(152명) 등 수도권 대도시 상위 10개 지역 중 7곳이 경기도에 집중되어 나타났다. 반면 인구 10만 명당 고령자 비율은 전남(31.8명), 제주(30.4명), 강원(28.6명) 순으로 높아, 인구 고령화 수치는 농어촌 중심 지역에서 훨씬 높게 나타났다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■&nbsp;70.7%가 "요양시설 거부"... ‘집’에서 늙고 싶지만 환경은 악화</b></p>
<p>데이터는 대한민국 초고령자들이 지닌 주거와 돌봄에 대한 강한 열망을 보여준다. 향후 건강이 악화되더라도 노인 요양시설에 입소할 의향이 '없다'고 응답한 비율이 70.7%에 달했다. 주요 거부 사유로는 '가족의 직접 돌봄(28.6%)', '익숙한 집과 환경 선호(23.3%)', '시설에 대한 거부감(23.0%)'이 꼽혔다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>그러나 현실의 벽은 높다. 재가 고령자 중 47.9%가 집안의 문턱, 계단, 화장실 등 '구조나 설비' 때문에 생활에 불편을 느낀다고 답했다. 주거 편의 시설(안전손잡이, 미끄럼방지 등)을 1개 이상 갖춘 가구가 83.9%에 달함에도 불구하고, 인프라의 절대적 수준은 여전히 부족하다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>돌봄의 주체 역시 가족에게 과중하게 집중되어 있다. 고령자를 돌보는 주체는 자녀 및 그 배우자가 73.5%로 가장 높았으며, 요양보호사 등 유료 수발자는 35.6%였다. 특히 가족 수발자 중에서는 아들(52.4%), 딸(34.9%), 며느리(34.5%) 순으로 여전히 사적 돌봄 부담이 크게 나타나고 있다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■&nbsp;100세 장수 비결: '소식(小食)'과 '절제', 그리고 사회적 관계</b></p>
<p>고령자들이 직접 꼽은 최고 장수 비결은 ‘절제된 식생활(소식 등)’이 59.7%로 1위, ‘규칙적인 생활’이 44.5%로 2위를 차지했다. 유전적 요인(32.1%)이나 정기적 운동(12.0%)보다 평소의 생활 습관이 훨씬 큰 영향을 미친다는 것을 시사한다. 실제 고령자의 75.8%는 평생 음주와 흡연을 모두 하지 않은 것으로 조사됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>또한 정신적 건강 유지를 위한 '관계'도 입증됐다. 100세 이상 고령자의 50.8%가 평소 따로 사는 자녀나 이웃, 지인과 월 10회 이상 직접 만나고 있었으며, 평균 만남 횟수는 월 12.7회에 달했다. 87.8%가 가족을 알아보고, 87.4%가 본인의 이름을 정확히 인지하는 높은 인지 상태 수준과도 밀접하게 연결되어 있다.&nbsp;</p>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>이번 인구주택총조사 결과는 단순한 ‘수명 연장’을 넘어 초고령자의 '어디서 어떻게 늙어갈 것인가(Aging in Place)'에 대한 정책적 전환을 촉구한다. 고령자 10명 중 7명은 요양원 대신 집에서 노후를 보내길 희망하지만, 돌봄의 70% 이상을 자녀 세대가 떠안고 있으며 주거 환경 역시 고령 친화적이지 않다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>증가하는 초고령 인구를 감당하기 위해서는 주택 리모델링 지원, 지역사회 통합 돌봄(커뮤니티 케어) 및 유료 요양 인프라의 확충이 시급하다. 개인의 소식·규칙적 습관과 더불어 사회가 돌봄을 함께 나누는 인프라 구축이 병행되어야 '100세 축복'이 완성될 수 있다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224388527300" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224388527300</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-24T15:00:15+09:00</atom:updated>
<atom:published>2026-08-24T14:54:46+09:00</atom:published>
</item>
<item>
<guid>2585</guid>
<title><![CDATA[2026년 1분기 고용시장 양극화 심화… 돌봄·서비스 ‘급증’ vs 건설·제조업 ‘차가운 한파’]]></title>
<link>https://datapress.kr/news/view.php?no=2585</link>
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<atom:link href="https://datapress.kr/news/view.php?no=2585" rel="related"/>
<description><![CDATA[
   

국가데이터처가 24일 발표한 『2026년 1/4분기 임금근로 일자리동향』(2월 기준)에 따르면, 전체 임금근로 일자리는 2,082.8만 개로 전년 동기 대비 29.2만 개(+1.4%) 증가했다. 표면상으로는 고용 시장이 완만한 증가세를 이어가는 것처럼 보이지만, 데이터를 세부적으로 들여다보면 ‘고령층·복지 중심의 양적 성장’과 ‘청년층·주력 산업의 질적 위축’이라는 심각한 고용 양극화 현상이 드러난다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 총량의 착시: 일자리 29.2만 개 증가의 실체

올해 1분기 전체 임금근로 일자리 2,082.8만 개 중, 전년 동기와 동일한 근로자가 일자리를 유지한 ‘지속 일자리’는 1,541.6만 개(74.0%)로 집계됐다.&amp;#038;nbsp;&amp;#038;nbsp;

   

반면, 신규채용 일자리(541.2만 개, 26.0%) 중 퇴직·이직에 따라 근로자가 교체된 ‘대체 일자리’는 318.6만 개(15.3%), 기업 신설이나 사업 확장으로 생긴 ‘신규 일자리’는 222.6만 개(10.7%)였다. 한편 기업 소멸이나 사업 축소로 사라진 ‘소멸 일자리’는 193.4만 개로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 산업별 명암: 돌봄·서비스업 ‘방어’ vs 건설업 ‘빙하기’

산업별 고용 동향은 대한민국 경제의 구조 변화를 극명하게 보여준다.&amp;#038;nbsp;

   


   △ 뚜렷한 증가세 (보건·복지 &amp;#038;amp; 숙박·음식): 고령화 가속으로 보건·사회복지 일자리가 12.7만 개(+4.8%) 늘어나며 전체 일자리 증가분의 43.5%를 담당했다. 사회복지 서비스업(+8.8만 개)과 보건업(+4.0만 개)이 동반 상승했다. 대면 서비스 회복에 힘입어 숙박·음식업도 5.9만 개(+6.2%) 증가했다.&amp;#038;nbsp;


   △ 건설업 급락 &amp;#038;amp; 제조업 정체: 부동산 경기 침체의 직격탄을 맞은 건설업은 5.2만 개(-3.1%) 감소했다. 특히 전문직별 공사업(-3.5만 개)과 종합 건설업(-1.7만 개)의 위축이 두드러졌다. 건설업은 전체 일자리 중 소멸 일자리 비중(20.3%)이 가장 높아 고용 불안정이 극에 달했다.&amp;#038;nbsp;&amp;#038;nbsp;


   △ 제조업의 제자리걸음: 전체 일자리 비중 1위(20.6%, 429.4만 개)인 제조업은 전년과 유사한 수준(-0.1만 개)을 유지했다. 반도체(+0.5만 개), 자동차 부품(+0.4만 개), 식료품(+0.9만 개)이 늘어난 반면, 섬유제품 염색(-0.3만 개), 기타 금속가공(-0.2만 개), 통신·방송장비(-0.2만 개)는 줄었다.&amp;#038;nbsp;&amp;#038;nbsp;


   


   ■ 세대·성별 격차: 60대 실버 파워 vs 20대 청년 고용절벽

연령대별 데이터는 고용 시장의 가장 아픈 고리를 드러낸다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   △ 60대 이상(+23.3만 개): 전체 일자리 증가분(29.2만 개)의 79.8%가 60대 이상 고령층 일자리였다. 보건·사회복지(+9.3만 개), 제조업(+2.7만 개), 사업·임대(+2.3만 개) 등 재정 지원 및 일용·간병 직군 중심의 확대가 두드러졌다.&amp;#038;nbsp;


   △ 20대 이하(-7.6만 개) &amp;#038;amp; 40대(-1.9만 개): 청년층이 주로 선호하는 제조업(-2.6만 개), 공공행정(-1.4만 개), 정보통신(-1.4만 개)에서 일자리가 대폭 줄어들며 청년 진입 장벽이 더욱 높아졌다. 30대는 +11.5만 개, 50대는 +4.0만 개 증가했다.&amp;#038;nbsp;


   △ 성별 격차: 여성 일자리가 21.7만 개(+2.4%) 증가하여 남성(+7.5만 개, +0.7%)보다 약 3배 높은 증가세를 보였다. 보건·복지 및 숙박·음식 등 여성 종사자 비중이 높은 서비스업 확장의 결과다.&amp;#038;nbsp;&amp;#038;nbsp;


   


   [2026년 1분기 연령대별 일자리 증감]

60대 이상&amp;#038;nbsp; ■■■■■■■■■■■■■■■■■■■■ +23.3만 개
30대&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;■■■■■■■■&amp;#038;nbsp; +11.5만 개
50대&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;■■■&amp;#038;nbsp; +4.0만 개
40대&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;■ -1.9만 개
20대 이하&amp;#038;nbsp; ■■■■ -7.6만 개

   


   [데이터프레스의 눈]&amp;#038;nbsp;

숫자 뒤에 숨은 경제 체력 저하 경계해야이번 2026년 1분기 임금근로 일자리 동향은 단순한 &amp;#039;29만 개 증가&amp;#039;라는 수치 이상의 경고를 던지고 있다.&amp;#038;nbsp;&amp;#038;nbsp;

   

△ 고용의 양적 착시 극복: 복지·재정 일자리 중심의 고령층 증가가 전체 수치를 견인하는 구조는 장기적인 생산성 향상으로 이어지기 어렵다.&amp;#038;nbsp;&amp;#038;nbsp;
△ 청년층 신규 채용 가뭄 해소: 제조업과 IT·정보통신 분야에서 20대 일자리가 줄어드는 현상은 미래 성장 동력 약화를 의미한다.&amp;#038;nbsp;&amp;#038;nbsp;
△ 건설업 구조조정 충격 완화: 연속 하락세를 보이는 건설업 고용 불안은 하도급업체와 지역 실물 경제로 연쇄 파급될 위험이 크므로 정책적 연착륙 지원이 시급하다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224388496230

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260824142731_apmclaqm.jpg" alt="임금근로 일자리 동향.JPG" style="width: 875px; height: 491px;" />
</p>
<p>국가데이터처가 24일 발표한 『2026년 1/4분기 임금근로 일자리동향』(2월 기준)에 따르면, 전체 임금근로 일자리는 2,082.8만 개로 전년 동기 대비 29.2만 개(+1.4%) 증가했다. 표면상으로는 고용 시장이 완만한 증가세를 이어가는 것처럼 보이지만, 데이터를 세부적으로 들여다보면 ‘고령층·복지 중심의 양적 성장’과 ‘청년층·주력 산업의 질적 위축’이라는 심각한 고용 양극화 현상이 드러난다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 총량의 착시: 일자리 29.2만 개 증가의 실체</b>
</p>
<p>올해 1분기 전체 임금근로 일자리 2,082.8만 개 중, 전년 동기와 동일한 근로자가 일자리를 유지한 ‘지속 일자리’는 1,541.6만 개(74.0%)로 집계됐다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>반면, 신규채용 일자리(541.2만 개, 26.0%) 중 퇴직·이직에 따라 근로자가 교체된 ‘대체 일자리’는 318.6만 개(15.3%), 기업 신설이나 사업 확장으로 생긴 ‘신규 일자리’는 222.6만 개(10.7%)였다. 한편 기업 소멸이나 사업 축소로 사라진 ‘소멸 일자리’는 193.4만 개로 나타났다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 산업별 명암: 돌봄·서비스업 ‘방어’ vs 건설업 ‘빙하기’</b>
</p>
<p>산업별 고용 동향은 대한민국 경제의 구조 변화를 극명하게 보여준다.&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>△ 뚜렷한 증가세 (보건·복지 &amp; 숙박·음식)</b>: 고령화 가속으로 보건·사회복지 일자리가 12.7만 개(+4.8%) 늘어나며 전체 일자리 증가분의 43.5%를 담당했다. 사회복지 서비스업(+8.8만 개)과 보건업(+4.0만 개)이 동반 상승했다. 대면 서비스 회복에 힘입어 숙박·음식업도 5.9만 개(+6.2%) 증가했다.&nbsp;
</p>
<p>
   <b>△ 건설업 급락 &amp; 제조업 정체</b>: 부동산 경기 침체의 직격탄을 맞은 건설업은 5.2만 개(-3.1%) 감소했다. 특히 전문직별 공사업(-3.5만 개)과 종합 건설업(-1.7만 개)의 위축이 두드러졌다. 건설업은 전체 일자리 중 소멸 일자리 비중(20.3%)이 가장 높아 고용 불안정이 극에 달했다.&nbsp;&nbsp;
</p>
<p>
   <b>△ 제조업의 제자리걸음</b>: 전체 일자리 비중 1위(20.6%, 429.4만 개)인 제조업은 전년과 유사한 수준(-0.1만 개)을 유지했다. 반도체(+0.5만 개), 자동차 부품(+0.4만 개), 식료품(+0.9만 개)이 늘어난 반면, 섬유제품 염색(-0.3만 개), 기타 금속가공(-0.2만 개), 통신·방송장비(-0.2만 개)는 줄었다.&nbsp;&nbsp;
</p>
<p>
   <br />
</p>
<p>
   <b>■ 세대·성별 격차: 60대 실버 파워 vs 20대 청년 고용절벽</b>
</p>
<p>연령대별 데이터는 고용 시장의 가장 아픈 고리를 드러낸다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>△ 60대 이상(+23.3만 개):</b> 전체 일자리 증가분(29.2만 개)의 79.8%가 60대 이상 고령층 일자리였다. 보건·사회복지(+9.3만 개), 제조업(+2.7만 개), 사업·임대(+2.3만 개) 등 재정 지원 및 일용·간병 직군 중심의 확대가 두드러졌다.&nbsp;
</p>
<p>
   <b>△ 20대 이하(-7.6만 개) &amp; 40대(-1.9만 개)</b>: 청년층이 주로 선호하는 제조업(-2.6만 개), 공공행정(-1.4만 개), 정보통신(-1.4만 개)에서 일자리가 대폭 줄어들며 청년 진입 장벽이 더욱 높아졌다. 30대는 +11.5만 개, 50대는 +4.0만 개 증가했다.&nbsp;
</p>
<p>
   <b>△ 성별 격차</b>: 여성 일자리가 21.7만 개(+2.4%) 증가하여 남성(+7.5만 개, +0.7%)보다 약 3배 높은 증가세를 보였다. 보건·복지 및 숙박·음식 등 여성 종사자 비중이 높은 서비스업 확장의 결과다.&nbsp;&nbsp;
</p>
<p>
   <br />
</p>
<p>
   <b>[2026년 1분기 연령대별 일자리 증감]</b>
</p>
<p>60대 이상&nbsp; ■■■■■■■■■■■■■■■■■■■■ +23.3만 개</p>
<p>30대&nbsp; &nbsp; &nbsp; &nbsp;■■■■■■■■&nbsp; +11.5만 개</p>
<p>50대&nbsp; &nbsp; &nbsp; &nbsp;■■■&nbsp; +4.0만 개</p>
<p>40대&nbsp; &nbsp; &nbsp; &nbsp;■ -1.9만 개</p>
<p>20대 이하&nbsp; ■■■■ -7.6만 개</p>
<p>
   <br />
</p>
<p>
   <b>[데이터프레스의 눈]&nbsp;</b>
</p>
<p>숫자 뒤에 숨은 경제 체력 저하 경계해야이번 2026년 1분기 임금근로 일자리 동향은 단순한 '29만 개 증가'라는 수치 이상의 경고를 던지고 있다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>△ 고용의 양적 착시 극복: 복지·재정 일자리 중심의 고령층 증가가 전체 수치를 견인하는 구조는 장기적인 생산성 향상으로 이어지기 어렵다.&nbsp;&nbsp;</p>
<p>△ 청년층 신규 채용 가뭄 해소: 제조업과 IT·정보통신 분야에서 20대 일자리가 줄어드는 현상은 미래 성장 동력 약화를 의미한다.&nbsp;&nbsp;</p>
<p>△ 건설업 구조조정 충격 완화: 연속 하락세를 보이는 건설업 고용 불안은 하도급업체와 지역 실물 경제로 연쇄 파급될 위험이 크므로 정책적 연착륙 지원이 시급하다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224388496230" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224388496230</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-24T14:35:54+09:00</atom:updated>
<atom:published>2026-08-24T14:27:37+09:00</atom:published>
</item>
<item>
<guid>2584</guid>
<title><![CDATA[‘반도체의 힘’ 충북·경기 주도 vs 내수 침체·지방 위기… 2026년 2분기 대한민국 경제 지형도]]></title>
<link>https://datapress.kr/news/view.php?no=2584</link>
<mobile>https://datapress.kr/m/view.php?no=2584</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2584" rel="related"/>
<description><![CDATA[
2026년 2분기 대한민국 지역경제는 &amp;#039;반도체·제조업 특수&amp;#039;를 누린 일부 산업·수도권 지역과 &amp;#039;내수 침체 및 인구 유출&amp;#039;에 시달리는 지방 고용·소비 시장 간의 양극화 현상이 가파르게 심화된 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;

19일 국가데이터처가 발표한 &amp;#039;2026년 2/4분기 지역경제동향&amp;#039; 분석 결과, 전국 광공업생산은 전년 동분기 대비 2.0% 증가했으나 지역별 온도 차가 극명했다. 반도체와 전자부품 호조에 힘입은 충북이 무려 27.8%의 폭발적인 성장세를 기록했고, 완성차 및 관련 산업이 호조를 보인 광주(9.1%)와 대구(5.7%)가 뒤를 이었다. 반면, 화학제품과 의복·의료 등 전통 제조업 기반 지역인 전남(-9.2%), 서울(-5.7%), 대전(-5.3%) 등 9개 시도는 마이너스 성장에 머물렀다.&amp;#038;nbsp;&amp;#038;nbsp;

수출 부문에서는 반도체가 전체 실적을 압도했다. 전국 수출액(2,755.1억 달러)이 1,006.4억 달러 대폭 증가한 가운데, 메모리 반도체 기지인 경기(507.5억 달러 증가)와 충남(344.9억 달러 증가) 두 지역이 전체 수출 증가 폭의 대부분을 견인했다.&amp;#038;nbsp;&amp;#038;nbsp;

[2026년 2분기 주요 지역경제 지표 요약]
(단위: 전년 동분기 대비 % / 수출: 억 달러 / 고용률: %p)

   
      
         구분
         광공업생산
         서비스업생산
         소매판매(소비)
         소비자물가
         수출액
         고용률
         
      
   
      
         
            전국
            
            
         
            2.0
            
            
         
            4.5
            
            
         
            2.4
            
            
         
            3.0
            
            
         
            1,006.4
            
            
         
            -0.3
            
            
         
      
         
            서울
            
            
         
            -5.7
            
         
            7.5
            
            
         
            3.8
            
            
         
            2.5
            
         
            21.5
            
         
            0.0
            
         
      
         
            경기
            
            
         
            -2.8
            
         
            4.6
            
         
            1.8
            
         
            3.1
            
         
            507.5
            
            
         
            -1.1
            
         
      
         
            충북
            
            
         
            27.8
            
            
         
            0.4
            
         
            -0.2
            
         
            3.2
            
         
            25.3
            
         
            -0.6
            
         
      
         
            충남
            
            
         
            -0.1
            
         
            1.3
            
         
            -1.4
            
         
            3.0
            
         
            344.9
            
            
         
            0.8
            
         
      
         
            대전
            
            
         
            -5.3
            
         
            1.2
            
         
            -5.1
            
            
         
            2.8
            
         
            0.4
            
         
            -0.3
            
         
      
         
            경북
            
            
         
            3.7
            
         
            0.5
            
         
            -1.0
            
         
            3.4
            
            
         
            16.0
            
         
            -1.1
            
         
      
         
            경남
            
            
         
            3.2
            
         
            2.4
            
         
            -2.7
            
         
            3.4
            
            
         
            -5.2
            
            
         
            0.4
            
         
      
   
■ 지표 속 3대 핵심 인사이트
△ 소비 양극화와 체감물가 부담: 전국 소매판매는 무점포 소매(6.8%)와 백화점(14.8%) 중심의 2.4% 증가세를 보였으나, 서울(3.8%), 대구(3.5%), 부산(3.4%)을 제외한 대전(-5.1%), 경남(-2.7%), 전북(-2.4%) 등 8개 시도는 소매판매가 오히려 감소했다. 특히 석유류(23.6% 상승) 폭등으로 소비자물가가 전국 평균 3.0% 급등하며 경북·경남·전북(각 3.4%) 등 지방 거주민의 체감물가 압박이 크게 가중됐다.&amp;#038;nbsp;&amp;#038;nbsp;


△ 20대 고용 한파 및 전국 고용률 후퇴: 전국 고용률은 전년 동분기 대비 0.3%p 하락한 63.2%를 기록했다. 특히 청년층(20대) 고용률이 전국적으로 1.6%p 급감하면서 고용시장의 약고리가 드러났다. 경기(-1.1%p), 경북(-1.1%p)의 고용률 감소 폭이 컸던 반면, 제주(1.7%p)와 광주(0.8%p) 등 일부 지역은 청년 및 장년층 고용 확대로 선전했다.&amp;#038;nbsp;&amp;#038;nbsp;


△ ‘30대 서울 탈출, 경기·인천 쏠림’ 인구 이동 본격화: 인구 이동 측면에서는 주거비와 생활물가 부담 등으로 서울에서만 16,259명이 순유출됐다. 서울 순유출의 중심은 경제 허리층인 30대(30~34세 -3,375명, 35~39세 -2,757명)였다. 이들 유출 인구는 경기(11,391명 순유입)와 인천(4,442명 순유입)으로 흡수되어 수도권 외곽으로의 생활권 이동이 심화되고 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;


전문가들은 "수출 지표의 화려한 착시 뒤에 지방 내수 위축, 청년 고용 악화, 고물가 부담이라는 삼중고가 숨어있다"며 "지역 맞춤형 내수 활성화 정책 및 고용 안전망 재정비가 시급하다"고 지적했다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224385357145

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260821102445_gecxurbv.jpg" alt="2분기지역경제동향.JPG" style="width: 875px; height: 492px;" /></p>
<p>2026년 2분기 대한민국 지역경제는 '반도체·제조업 특수'를 누린 일부 산업·수도권 지역과 '내수 침체 및 인구 유출'에 시달리는 지방 고용·소비 시장 간의 양극화 현상이 가파르게 심화된 것으로 나타났다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>19일 국가데이터처가 발표한 '2026년 2/4분기 지역경제동향' 분석 결과, 전국 광공업생산은 전년 동분기 대비 2.0% 증가했으나 지역별 온도 차가 극명했다. 반도체와 전자부품 호조에 힘입은 충북이 무려 27.8%의 폭발적인 성장세를 기록했고, 완성차 및 관련 산업이 호조를 보인 광주(9.1%)와 대구(5.7%)가 뒤를 이었다. 반면, 화학제품과 의복·의료 등 전통 제조업 기반 지역인 전남(-9.2%), 서울(-5.7%), 대전(-5.3%) 등 9개 시도는 마이너스 성장에 머물렀다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>수출 부문에서는 반도체가 전체 실적을 압도했다. 전국 수출액(2,755.1억 달러)이 1,006.4억 달러 대폭 증가한 가운데, 메모리 반도체 기지인 경기(507.5억 달러 증가)와 충남(344.9억 달러 증가) 두 지역이 전체 수출 증가 폭의 대부분을 견인했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>[2026년 2분기 주요 지역경제 지표 요약]</b></p>
<p>(단위: 전년 동분기 대비 % / 수출: 억 달러 / 고용률: %p)</p>
<table data-path-to-node="7" style="margin-bottom: 32px; font-family: " google="" sans="" text",="" sans-serif="" !important;="" line-height:="" 1.15="" margin-top:="" 0px="" !important;"="">
   <thead style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">구분</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">광공업생산</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">서비스업생산</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">소매판매(소비)</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">소비자물가</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">수출액</strong></td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">고용률</strong></td>
         </tr>
      </thead>
   <tbody style="line-height: 1.15 !important; margin-top: 0px !important;">
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">전국</b></p>
            <p data-path-to-node="7,1,0,1" id="p-rc_d760d6b3ad2c3c40-281" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,1,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,1,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.0</b></p>
            <p data-path-to-node="7,1,1,1" id="p-rc_d760d6b3ad2c3c40-282" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,2,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,2,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">4.5</b></p>
            <p data-path-to-node="7,1,2,1" id="p-rc_d760d6b3ad2c3c40-283" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,3,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.4</b></p>
            <p data-path-to-node="7,1,3,1" id="p-rc_d760d6b3ad2c3c40-284" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,4,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.0</b></p>
            <p data-path-to-node="7,1,4,1" id="p-rc_d760d6b3ad2c3c40-285" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,5,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,5,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">1,006.4</b></p>
            <p data-path-to-node="7,1,5,1" id="p-rc_d760d6b3ad2c3c40-286" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,1,6,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,1,6,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.3</b></p>
            <p data-path-to-node="7,1,6,1" id="p-rc_d760d6b3ad2c3c40-287" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,2,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">서울</b></p>
            <p data-path-to-node="7,2,0,1" id="p-rc_d760d6b3ad2c3c40-288" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,1,0" id="p-rc_d760d6b3ad2c3c40-289" style="line-height: 1.15 !important;"><span data-path-to-node="7,2,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-5.7</span><span data-path-to-node="7,2,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,2,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,2,2,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">7.5</b></p>
            <p data-path-to-node="7,2,2,1" id="p-rc_d760d6b3ad2c3c40-290" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,3,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,2,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.8</b></p>
            <p data-path-to-node="7,2,3,1" id="p-rc_d760d6b3ad2c3c40-291" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,4,0" id="p-rc_d760d6b3ad2c3c40-292" style="line-height: 1.15 !important;"><span data-path-to-node="7,2,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.5</span><span data-path-to-node="7,2,4,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,5,0" id="p-rc_d760d6b3ad2c3c40-293" style="line-height: 1.15 !important;"><span data-path-to-node="7,2,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">21.5</span><span data-path-to-node="7,2,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,2,6,0" id="p-rc_d760d6b3ad2c3c40-294" style="line-height: 1.15 !important;"><span data-path-to-node="7,2,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.0</span><span data-path-to-node="7,2,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,3,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">경기</b></p>
            <p data-path-to-node="7,3,0,1" id="p-rc_d760d6b3ad2c3c40-295" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,1,0" id="p-rc_d760d6b3ad2c3c40-296" style="line-height: 1.15 !important;"><span data-path-to-node="7,3,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-2.8</span><span data-path-to-node="7,3,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,2,0" id="p-rc_d760d6b3ad2c3c40-297" style="line-height: 1.15 !important;"><span data-path-to-node="7,3,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">4.6</span><span data-path-to-node="7,3,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,3,0" id="p-rc_d760d6b3ad2c3c40-298" style="line-height: 1.15 !important;"><span data-path-to-node="7,3,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">1.8</span><span data-path-to-node="7,3,3,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,4,0" id="p-rc_d760d6b3ad2c3c40-299" style="line-height: 1.15 !important;"><span data-path-to-node="7,3,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.1</span><span data-path-to-node="7,3,4,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,5,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,3,5,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">507.5</b></p>
            <p data-path-to-node="7,3,5,1" id="p-rc_d760d6b3ad2c3c40-300" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,3,6,0" id="p-rc_d760d6b3ad2c3c40-301" style="line-height: 1.15 !important;"><span data-path-to-node="7,3,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-1.1</span><span data-path-to-node="7,3,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,4,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">충북</b></p>
            <p data-path-to-node="7,4,0,1" id="p-rc_d760d6b3ad2c3c40-302" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,1,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,4,1,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">27.8</b></p>
            <p data-path-to-node="7,4,1,1" id="p-rc_d760d6b3ad2c3c40-303" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,2,0" id="p-rc_d760d6b3ad2c3c40-304" style="line-height: 1.15 !important;"><span data-path-to-node="7,4,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.4</span><span data-path-to-node="7,4,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,3,0" id="p-rc_d760d6b3ad2c3c40-305" style="line-height: 1.15 !important;"><span data-path-to-node="7,4,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.2</span><span data-path-to-node="7,4,3,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,4,0" id="p-rc_d760d6b3ad2c3c40-306" style="line-height: 1.15 !important;"><span data-path-to-node="7,4,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.2</span><span data-path-to-node="7,4,4,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,5,0" id="p-rc_d760d6b3ad2c3c40-307" style="line-height: 1.15 !important;"><span data-path-to-node="7,4,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">25.3</span><span data-path-to-node="7,4,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,4,6,0" id="p-rc_d760d6b3ad2c3c40-308" style="line-height: 1.15 !important;"><span data-path-to-node="7,4,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.6</span><span data-path-to-node="7,4,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,5,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">충남</b></p>
            <p data-path-to-node="7,5,0,1" id="p-rc_d760d6b3ad2c3c40-309" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,1,0" id="p-rc_d760d6b3ad2c3c40-310" style="line-height: 1.15 !important;"><span data-path-to-node="7,5,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.1</span><span data-path-to-node="7,5,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,2,0" id="p-rc_d760d6b3ad2c3c40-311" style="line-height: 1.15 !important;"><span data-path-to-node="7,5,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">1.3</span><span data-path-to-node="7,5,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,3,0" id="p-rc_d760d6b3ad2c3c40-312" style="line-height: 1.15 !important;"><span data-path-to-node="7,5,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-1.4</span><span data-path-to-node="7,5,3,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,4,0" id="p-rc_d760d6b3ad2c3c40-313" style="line-height: 1.15 !important;"><span data-path-to-node="7,5,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.0</span><span data-path-to-node="7,5,4,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,5,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,5,5,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">344.9</b></p>
            <p data-path-to-node="7,5,5,1" id="p-rc_d760d6b3ad2c3c40-314" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,5,6,0" id="p-rc_d760d6b3ad2c3c40-315" style="line-height: 1.15 !important;"><span data-path-to-node="7,5,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.8</span><span data-path-to-node="7,5,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,6,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">대전</b></p>
            <p data-path-to-node="7,6,0,1" id="p-rc_d760d6b3ad2c3c40-316" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,1,0" id="p-rc_d760d6b3ad2c3c40-317" style="line-height: 1.15 !important;"><span data-path-to-node="7,6,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-5.3</span><span data-path-to-node="7,6,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,2,0" id="p-rc_d760d6b3ad2c3c40-318" style="line-height: 1.15 !important;"><span data-path-to-node="7,6,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">1.2</span><span data-path-to-node="7,6,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,3,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,6,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-5.1</b></p>
            <p data-path-to-node="7,6,3,1" id="p-rc_d760d6b3ad2c3c40-319" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,4,0" id="p-rc_d760d6b3ad2c3c40-320" style="line-height: 1.15 !important;"><span data-path-to-node="7,6,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.8</span><span data-path-to-node="7,6,4,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,5,0" id="p-rc_d760d6b3ad2c3c40-321" style="line-height: 1.15 !important;"><span data-path-to-node="7,6,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.4</span><span data-path-to-node="7,6,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,6,6,0" id="p-rc_d760d6b3ad2c3c40-322" style="line-height: 1.15 !important;"><span data-path-to-node="7,6,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.3</span><span data-path-to-node="7,6,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,7,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">경북</b></p>
            <p data-path-to-node="7,7,0,1" id="p-rc_d760d6b3ad2c3c40-323" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,1,0" id="p-rc_d760d6b3ad2c3c40-324" style="line-height: 1.15 !important;"><span data-path-to-node="7,7,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.7</span><span data-path-to-node="7,7,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,2,0" id="p-rc_d760d6b3ad2c3c40-325" style="line-height: 1.15 !important;"><span data-path-to-node="7,7,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.5</span><span data-path-to-node="7,7,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,3,0" id="p-rc_d760d6b3ad2c3c40-326" style="line-height: 1.15 !important;"><span data-path-to-node="7,7,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-1.0</span><span data-path-to-node="7,7,3,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,4,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,7,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.4</b></p>
            <p data-path-to-node="7,7,4,1" id="p-rc_d760d6b3ad2c3c40-327" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,5,0" id="p-rc_d760d6b3ad2c3c40-328" style="line-height: 1.15 !important;"><span data-path-to-node="7,7,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">16.0</span><span data-path-to-node="7,7,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,7,6,0" id="p-rc_d760d6b3ad2c3c40-329" style="line-height: 1.15 !important;"><span data-path-to-node="7,7,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-1.1</span><span data-path-to-node="7,7,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,0,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,8,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">경남</b></p>
            <p data-path-to-node="7,8,0,1" id="p-rc_d760d6b3ad2c3c40-330" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,1,0" id="p-rc_d760d6b3ad2c3c40-331" style="line-height: 1.15 !important;"><span data-path-to-node="7,8,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.2</span><span data-path-to-node="7,8,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,2,0" id="p-rc_d760d6b3ad2c3c40-332" style="line-height: 1.15 !important;"><span data-path-to-node="7,8,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2.4</span><span data-path-to-node="7,8,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,3,0" id="p-rc_d760d6b3ad2c3c40-333" style="line-height: 1.15 !important;"><span data-path-to-node="7,8,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">-2.7</span><span data-path-to-node="7,8,3,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,4,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,8,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">3.4</b></p>
            <p data-path-to-node="7,8,4,1" id="p-rc_d760d6b3ad2c3c40-334" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,5,0" style="line-height: 1.15 !important;"><b data-path-to-node="7,8,5,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-5.2</b></p>
            <p data-path-to-node="7,8,5,1" id="p-rc_d760d6b3ad2c3c40-335" style="line-height: 1.15 !important;"><span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
            <p data-path-to-node="7,8,6,0" id="p-rc_d760d6b3ad2c3c40-336" style="line-height: 1.15 !important;"><span data-path-to-node="7,8,6,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">0.4</span><span data-path-to-node="7,8,6,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c3078088456="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c3078088456="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c2134169817="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c2134169817="" _nghost-ng-c1759097629="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
            </td>
         </tr>
      </tbody>
   </table>
<p><b>■ 지표 속 3대 핵심 인사이트</b></p>
<p><b>△ 소비 양극화와 체감물가 부담</b>: 전국 소매판매는 무점포 소매(6.8%)와 백화점(14.8%) 중심의 2.4% 증가세를 보였으나, 서울(3.8%), 대구(3.5%), 부산(3.4%)을 제외한 대전(-5.1%), 경남(-2.7%), 전북(-2.4%) 등 8개 시도는 소매판매가 오히려 감소했다. 특히 석유류(23.6% 상승) 폭등으로 소비자물가가 전국 평균 3.0% 급등하며 경북·경남·전북(각 3.4%) 등 지방 거주민의 체감물가 압박이 크게 가중됐다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p><b>△ 20대 고용 한파 및 전국 고용률 후퇴</b>: 전국 고용률은 전년 동분기 대비 0.3%p 하락한 63.2%를 기록했다. 특히 청년층(20대) 고용률이 전국적으로 1.6%p 급감하면서 고용시장의 약고리가 드러났다. 경기(-1.1%p), 경북(-1.1%p)의 고용률 감소 폭이 컸던 반면, 제주(1.7%p)와 광주(0.8%p) 등 일부 지역은 청년 및 장년층 고용 확대로 선전했다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p><b>△ ‘30대 서울 탈출, 경기·인천 쏠림’ 인구 이동 본격화</b>: 인구 이동 측면에서는 주거비와 생활물가 부담 등으로 서울에서만 16,259명이 순유출됐다. 서울 순유출의 중심은 경제 허리층인 30대(30~34세 -3,375명, 35~39세 -2,757명)였다. 이들 유출 인구는 경기(11,391명 순유입)와 인천(4,442명 순유입)으로 흡수되어 수도권 외곽으로의 생활권 이동이 심화되고 있음을 보여준다.&nbsp;&nbsp;
</p>
<p><br /></p>
<p>전문가들은 "수출 지표의 화려한 착시 뒤에 지방 내수 위축, 청년 고용 악화, 고물가 부담이라는 삼중고가 숨어있다"며 "지역 맞춤형 내수 활성화 정책 및 고용 안전망 재정비가 시급하다"고 지적했다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224385357145" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224385357145</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-21T10:32:16+09:00</atom:updated>
<atom:published>2026-08-21T10:24:53+09:00</atom:published>
</item>
<item>
<guid>2583</guid>
<title><![CDATA[‘낮에는 강남·중구, 밤에는 관악’… 2026 상반기 고용지표로 본 대한민국 ‘직주분리’ 극단화]]></title>
<link>https://datapress.kr/news/view.php?no=2583</link>
<mobile>https://datapress.kr/m/view.php?no=2583</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2583" rel="related"/>
<description><![CDATA[2026년 상반기 대한민국 고용 지표는 거주지 중심의 생활권과 실제 경제활동이 이루어지는 노동권의 불일치, 즉 ‘직주분리(職住分離)’ 현상이 극단으로 치닫고 있음을 극명하게 보여준다. 국가데이터처가 2026년 8월 20일 발표한 「2026년 상반기 지역별고용조사 시군구 주요고용지표」를 데이터로 분석한 결과, 서울 중심부의 폭발적인 유동 노동인구와 외곽 배후지의 ‘침상도시(Bed Town)’화가 심화된 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;


■ 서울 중구·강남, 거주인구 뛰어넘는 ‘지역활동인구’ 기현상
가장 눈에 띄는 지표는 ‘지역활동인구(지역 내 사업체 근무 취업자+실업자+비경제활동인구)’다. 서울특별시 중구의 지역활동인구 비중은 15세 이상 거주인구 대비 363.8%라는 압도적인 수치를 기록했다. 거주인구는 11만 7천 명 수준에 불과하지만, 해당 지역에서 일하거나 활동하는 인구는 42만 6천 명에 달한다는 의미다. 부산 중구(217.0%)와 인천 중구(143.6%) 역시 거주인구 대비 지역활동인구 비율이 매우 높게 형성되었다.&amp;#038;nbsp;&amp;#038;nbsp;

단일 자치구 기준 가장 많은 일자리가 집중된 곳은 서울 강남구로, 지역활동인구가 무려 109만 3천 명을 기록하며 전국 최대 노동 거점의 위상을 유지했다.&amp;#038;nbsp;&amp;#038;nbsp;

■ ‘관악·의왕’ 거주자의 70~80%는 타 지역으로 출근
반면, 주거 기능에 치중된 지역의 ‘거주지 내 통근 취업자 비중’은 충격적인 수준이다. 서울 관악구의 경우 거주 취업자 중 구 내부로 통근하는 비율이 25.2%에 불과했다. 거주 취업자의 약 75%가 매일 타 지역으로 장거리 출퇴근을 감수하고 있는 셈이다.&amp;#038;nbsp;&amp;#038;nbsp;

수도권 시 지역 중에서는 경기도 의왕시의 거주지 내 통근 비중이 21.7%로 전국 최저 수준을 기록했다. 반면 산업단지 및 도서 지역 기반의 경북 울릉군(100.0%), 전남 여수시(98.1%), 충남 보령시(97.6%) 등은 거주민 대부분이 지역 내에서 직장을 다니는 ‘직주근접’ 형태를 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 고용률 격차와 양극화… 경북 울릉 84.3% vs 부산 영도 48.6%
전국 228개 시군구 간 고용률 격차도 크게 벌어졌다. 전국에서 고용률이 가장 높은 곳은 경북 울릉군(84.3%)과 전남 신안군(80.4%)인 반면, 가장 낮은 곳은 부산 영도구(48.6%)와 대구 서구(50.7%)로 집계되어 두 배 가까운 격차를 보였다. 도시 지역(시·구)은 경기 침체와 비경제활동인구 증가의 여파로 전년 동기 대비 고용률이 각각 0.1%p, 0.2%p 하락한 반면, 농어촌 중심의 군 지역은 고용률 69.4%(+0.2%p)를 기록하며 상대적인 착시 상승을 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

국가데이터처 관계자는 "지자체별 산업 구조 차이와 교통망 발달에 따른 거주지 이동이 지역별 고용 지표의 차이를 더욱 벌리고 있다"며, "향후 지역 맞춤형 일자리 창출과 교통 대책 수립 시 이러한 공간적 불균형을 다각도로 고려해야 한다"고 지적했다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224385317252

]]></description>
<content:encoded><![CDATA[<p>2026년 상반기 대한민국 고용 지표는 거주지 중심의 생활권과 실제 경제활동이 이루어지는 노동권의 불일치, 즉 ‘직주분리(職住分離)’ 현상이 극단으로 치닫고 있음을 극명하게 보여준다. 국가데이터처가 2026년 8월 20일 발표한 「2026년 상반기 지역별고용조사 시군구 주요고용지표」를 데이터로 분석한 결과, 서울 중심부의 폭발적인 유동 노동인구와 외곽 배후지의 ‘침상도시(Bed Town)’화가 심화된 것으로 나타났다.&nbsp;&nbsp;</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260821094710_aezcywvs.jpg" alt="상반기 지역별고용지표.JPG" style="width: 875px; height: 488px;" /></p>
<p><b>■ 서울 중구·강남, 거주인구 뛰어넘는 ‘지역활동인구’ 기현상</b></p>
<p>가장 눈에 띄는 지표는 ‘지역활동인구(지역 내 사업체 근무 취업자+실업자+비경제활동인구)’다. 서울특별시 중구의 지역활동인구 비중은 15세 이상 거주인구 대비 363.8%라는 압도적인 수치를 기록했다. 거주인구는 11만 7천 명 수준에 불과하지만, 해당 지역에서 일하거나 활동하는 인구는 42만 6천 명에 달한다는 의미다. 부산 중구(217.0%)와 인천 중구(143.6%) 역시 거주인구 대비 지역활동인구 비율이 매우 높게 형성되었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>단일 자치구 기준 가장 많은 일자리가 집중된 곳은 서울 강남구로, 지역활동인구가 무려 109만 3천 명을 기록하며 전국 최대 노동 거점의 위상을 유지했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ ‘관악·의왕’ 거주자의 70~80%는 타 지역으로 출근</b></p>
<p>반면, 주거 기능에 치중된 지역의 ‘거주지 내 통근 취업자 비중’은 충격적인 수준이다. 서울 관악구의 경우 거주 취업자 중 구 내부로 통근하는 비율이 25.2%에 불과했다. 거주 취업자의 약 75%가 매일 타 지역으로 장거리 출퇴근을 감수하고 있는 셈이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>수도권 시 지역 중에서는 경기도 의왕시의 거주지 내 통근 비중이 21.7%로 전국 최저 수준을 기록했다. 반면 산업단지 및 도서 지역 기반의 경북 울릉군(100.0%), 전남 여수시(98.1%), 충남 보령시(97.6%) 등은 거주민 대부분이 지역 내에서 직장을 다니는 ‘직주근접’ 형태를 보였다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 고용률 격차와 양극화… 경북 울릉 84.3% vs 부산 영도 48.6%</b></p>
<p>전국 228개 시군구 간 고용률 격차도 크게 벌어졌다. 전국에서 고용률이 가장 높은 곳은 경북 울릉군(84.3%)과 전남 신안군(80.4%)인 반면, 가장 낮은 곳은 부산 영도구(48.6%)와 대구 서구(50.7%)로 집계되어 두 배 가까운 격차를 보였다. 도시 지역(시·구)은 경기 침체와 비경제활동인구 증가의 여파로 전년 동기 대비 고용률이 각각 0.1%p, 0.2%p 하락한 반면, 농어촌 중심의 군 지역은 고용률 69.4%(+0.2%p)를 기록하며 상대적인 착시 상승을 보였다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>국가데이터처 관계자는 "지자체별 산업 구조 차이와 교통망 발달에 따른 거주지 이동이 지역별 고용 지표의 차이를 더욱 벌리고 있다"며, "향후 지역 맞춤형 일자리 창출과 교통 대책 수립 시 이러한 공간적 불균형을 다각도로 고려해야 한다"고 지적했다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224385317252" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224385317252</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-21T09:53:23+09:00</atom:updated>
<atom:published>2026-08-21T09:47:20+09:00</atom:published>
</item>
<item>
<guid>2582</guid>
<title><![CDATA[7월 생산자물가 0.4%↓, 숨고르기 들어갔지만… ‘DRAM 474% 폭등’ 착시 주의보]]></title>
<link>https://datapress.kr/news/view.php?no=2582</link>
<mobile>https://datapress.kr/m/view.php?no=2582</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2582" rel="related"/>
<description><![CDATA[
   

- 유가·증시 냉각에 석유제품(-5.1%)·위탁매매수수료(-16.8%) 급락하며 전월 대비 하락 전환
- 전년 동월 대비 상승률은 7.7%… 반도체 호황에 착시 현상, 식탁 물가는 폭염에 ‘시금치 115%’ 들썩

   

한국은행이 21일 발표한 ‘2026년 7월 생산자물가지수(잠정)’에 따르면, 지난달 생산자물가지수는 129.39(2020=100)로 전월 대비 0.4% 하락했다. 올해 상반기 원자재 가격 상승 등으로 이어지던 가파른 상승세가 일단 꺾인 모습이다.&amp;#038;nbsp;&amp;#038;nbsp;

그러나 전년 동월 대비로는 여전히 7.7%의 높은 상승률을 기록하고 있어, 소비자물가로 이어지는 시차 압력과 산업군별 둔화·인플레이션의 양극화 현상에 유의해야 한다는 분석이 나온다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 유가·증시 기두에 꺾인 생산자물가… 공산품·금융서비스가 하락 주도
7월 생산자물가 하락을 이끈 주된 요인은 국제 유가 안정에 따른 석유화학제품 가격 하락과 증시 거래대금 감소에 따른 금융 서비스 수수료 급감이다.&amp;#038;nbsp;&amp;#038;nbsp;

공산품(-0.5%): 경유(-9.8%), 휘발유(-11.3%) 등 석탄 및 석유제품이 전월 대비 5.1% 급락했다. 기초 화학제품인 폴리에틸렌수지(-10.2%) 등 화학제품도 1.3% 내렸다. 서비스(-0.4%): 금융 및 보험서비스가 전월 대비 -7.1%로 가장 큰 폭의 하락세를 보였다. 특히 증시 거래 위축으로 주식 위탁매매수수료가 전월 대비 -16.8% 급락한 점이 결정적이었다.&amp;#038;nbsp;&amp;#038;nbsp;

전력·가스·수도및폐기물(-0.6%): 계절적 누진세 완화 및 요금 조정 영향으로 주택용 전력이 전월 대비 11.8% 하락하며 지수를 끌어내렸다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
[2026년 7월 주요 전월 대비 등락 품목]
- 시금치: +115.8% (폭염 및 수해 여파)
- 휴양콘도: +31.1% (여름 휴가철 수요)
- DRAM: +8.4% (반도체 가격 강세 지속)
- 경유: -9.8% / 휘발유: -11.3% (국제유가 안정)
- 주식 위탁매매수수료: -16.8% (증시 거래량 둔화)

■&amp;#038;nbsp;착시 효과의 범인 &amp;#039;DRAM&amp;#039;… 1년 전보다 무려 474% 폭등
생산자물가 총지수(전월비 -0.4%)만 보면 인플레이션 압력이 완화된 것처럼 보이지만, 내막을 들여다보면 특정 IT 품목의 압도적인 착시 현상이 작용하고 있다.

컴퓨터·전자 및 광학기기 카테고리는 전월 대비 0.2%, 전년 동월 대비로는 무려 24.2% 상승했다. 이 중에서도 글로벌 인공지능(AI) 열풍과 반도체 수급 불균형의 중심에 있는 DRAM은 전년 동월 대비 474.4%라는 기록적인 폭등세를 나타냈다. 컴퓨터기억장치 또한 전년 대비 290.7% 상승하며 전체 공산품 지수를 받치고 있다.&amp;#038;nbsp;&amp;#038;nbsp;

IT 착시를 제외한 실물 경기를 보기 위해 ‘식료품 및 에너지 이외 지수(근원 생산자물가)’를 살펴보면, 전월 대비 0.2% 하락했으나 전년 동월 대비로는 8.0% 상승해 여전히 기업들의 원가 부담이 가중되어 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 밥상 물가는 비상… &amp;#039;시금치 115%·호텔 11%·콘도 31%&amp;#039; 급등
국제 원자재와 금융 지표가 하락한 반면, 서민들이 체감하는 농림수산품(전월비 +1.5%)과 바캉스 관련 서비스 물가는 폭등했다. 7월 폭염과 집중호우 등 기상 악화 영향으로 농산물이 전월 대비 2.4% 올랐다. 대표적으로 시금치가 한 달 만에 15.8%나 폭등했으며, 수산물에서는 기타어류가 15.5% 올랐다.&amp;#038;nbsp;&amp;#038;nbsp;
여름 휴가철 피서객 몰림 현상으로 서비스업 내에서도 휴양콘도(31.1%), 호텔(11.4%) 등 숙박업 가격이 크게 튀어 올랐다.

[데이터로 보는 물가 파급 단계 (전월 대비)]
&amp;#038;nbsp; 원재료 (-7.7%) ──&amp;#038;gt; 중간재 (-1.7%) ──&amp;#038;gt; 최종재 (-0.2%)
&amp;#038;nbsp; * 수입 원재료(-9.6%)의 급락이 물가 하락세를 견인

■ 데이터 기반 분석: "향후 소비자물가 안정세로 이어질까?"
생산자물가는 보통 1~3개월의 시차를 두고 소비자물가(CPI)에 반영된다. 국내 공급물가지수(국내 출하 + 수입)가 전월 대비 1.8% 하락했고, 특히 수입 원재료(-9.6%)와 중간재(-1.7%)의 하락 폭이 컸다는 점은 향후 3/4분기 소비자물가 부담을 낮추는 긍정적 신호다.

다만, 생산자물가의 전년 동월 대비 상승률(7.7%)과 총산출물가지수 전년비(16.6%)가 여전히 높은 수준을 유지하고 있어, 기업들의 원가 누적 압력이 단기간에 해소되기는 어려울 것으로 전망된다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224385288031
]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260821091153_mxrfvhdo.jpg" alt="7월 생산자물가지수.JPG" style="width: 875px; height: 490px;" />
</p>
<p>- 유가·증시 냉각에 석유제품(-5.1%)·위탁매매수수료(-16.8%) 급락하며 전월 대비 하락 전환</p>
<p>- 전년 동월 대비 상승률은 7.7%… 반도체 호황에 착시 현상, 식탁 물가는 폭염에 ‘시금치 115%’ 들썩</p>
<p>
   <br />
</p>
<p>한국은행이 21일 발표한 ‘2026년 7월 생산자물가지수(잠정)’에 따르면, 지난달 생산자물가지수는 129.39(2020=100)로 전월 대비 0.4% 하락했다. 올해 상반기 원자재 가격 상승 등으로 이어지던 가파른 상승세가 일단 꺾인 모습이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>그러나 전년 동월 대비로는 여전히 7.7%의 높은 상승률을 기록하고 있어, 소비자물가로 이어지는 시차 압력과 산업군별 둔화·인플레이션의 양극화 현상에 유의해야 한다는 분석이 나온다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 유가·증시 기두에 꺾인 생산자물가… 공산품·금융서비스가 하락 주도</b></p>
<p>7월 생산자물가 하락을 이끈 주된 요인은 국제 유가 안정에 따른 석유화학제품 가격 하락과 증시 거래대금 감소에 따른 금융 서비스 수수료 급감이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>공산품(-0.5%): 경유(-9.8%), 휘발유(-11.3%) 등 석탄 및 석유제품이 전월 대비 5.1% 급락했다. 기초 화학제품인 폴리에틸렌수지(-10.2%) 등 화학제품도 1.3% 내렸다. 서비스(-0.4%): 금융 및 보험서비스가 전월 대비 -7.1%로 가장 큰 폭의 하락세를 보였다. 특히 증시 거래 위축으로 주식 위탁매매수수료가 전월 대비 -16.8% 급락한 점이 결정적이었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>전력·가스·수도및폐기물(-0.6%): 계절적 누진세 완화 및 요금 조정 영향으로 주택용 전력이 전월 대비 11.8% 하락하며 지수를 끌어내렸다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p><span style="font-size: 14px;"><b>[2026년 7월 주요 전월 대비 등락 품목]</b></span></p>
<p><span style="font-size: 14px;">- 시금치: +115.8% (폭염 및 수해 여파)</span></p>
<p><span style="font-size: 14px;">- 휴양콘도: +31.1% (여름 휴가철 수요)</span></p>
<p><span style="font-size: 14px;">- DRAM: +8.4% (반도체 가격 강세 지속)</span></p>
<p><span style="font-size: 14px;">- 경유: -9.8% / 휘발유: -11.3% (국제유가 안정)</span></p>
<p><span style="font-size: 14px;">- 주식 위탁매매수수료: -16.8% (증시 거래량 둔화)</span></p>
<p><br /></p>
<p><b>■&nbsp;착시 효과의 범인 'DRAM'… 1년 전보다 무려 474% 폭등</b></p>
<p>생산자물가 총지수(전월비 -0.4%)만 보면 인플레이션 압력이 완화된 것처럼 보이지만, 내막을 들여다보면 특정 IT 품목의 압도적인 착시 현상이 작용하고 있다.</p>
<p><br /></p>
<p>컴퓨터·전자 및 광학기기 카테고리는 전월 대비 0.2%, 전년 동월 대비로는 무려 24.2% 상승했다. 이 중에서도 글로벌 인공지능(AI) 열풍과 반도체 수급 불균형의 중심에 있는 DRAM은 전년 동월 대비 474.4%라는 기록적인 폭등세를 나타냈다. 컴퓨터기억장치 또한 전년 대비 290.7% 상승하며 전체 공산품 지수를 받치고 있다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>IT 착시를 제외한 실물 경기를 보기 위해 ‘식료품 및 에너지 이외 지수(근원 생산자물가)’를 살펴보면, 전월 대비 0.2% 하락했으나 전년 동월 대비로는 8.0% 상승해 여전히 기업들의 원가 부담이 가중되어 있음을 보여준다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 밥상 물가는 비상… '시금치 115%·호텔 11%·콘도 31%' 급등</b></p>
<p>국제 원자재와 금융 지표가 하락한 반면, 서민들이 체감하는 농림수산품(전월비 +1.5%)과 바캉스 관련 서비스 물가는 폭등했다. 7월 폭염과 집중호우 등 기상 악화 영향으로 농산물이 전월 대비 2.4% 올랐다. 대표적으로 시금치가 한 달 만에 15.8%나 폭등했으며, 수산물에서는 기타어류가 15.5% 올랐다.&nbsp;&nbsp;</p>
<p>여름 휴가철 피서객 몰림 현상으로 서비스업 내에서도 휴양콘도(31.1%), 호텔(11.4%) 등 숙박업 가격이 크게 튀어 올랐다.</p>
<p><br /></p>
<p><b><span style="font-size: 14px;">[데이터로 보는 물가 파급 단계 (전월 대비)]</span></b></p>
<p><span style="font-size: 14px;">&nbsp; 원재료 (-7.7%) ──&gt; 중간재 (-1.7%) ──&gt; 최종재 (-0.2%)</span></p>
<p><span style="font-size: 14px;">&nbsp; * 수입 원재료(-9.6%)의 급락이 물가 하락세를 견인</span></p>
<p><br /></p>
<p><b>■ 데이터 기반 분석: "향후 소비자물가 안정세로 이어질까?"</b></p>
<p>생산자물가는 보통 1~3개월의 시차를 두고 소비자물가(CPI)에 반영된다. 국내 공급물가지수(국내 출하 + 수입)가 전월 대비 1.8% 하락했고, 특히 수입 원재료(-9.6%)와 중간재(-1.7%)의 하락 폭이 컸다는 점은 향후 3/4분기 소비자물가 부담을 낮추는 긍정적 신호다.</p>
<p><br /></p>
<p>다만, 생산자물가의 전년 동월 대비 상승률(7.7%)과 총산출물가지수 전년비(16.6%)가 여전히 높은 수준을 유지하고 있어, 기업들의 원가 누적 압력이 단기간에 해소되기는 어려울 것으로 전망된다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p><span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224385288031" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224385288031</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-21T10:01:27+09:00</atom:updated>
<atom:published>2026-08-21T09:14:34+09:00</atom:published>
</item>
<item>
<guid>2581</guid>
<title><![CDATA["걷는 만큼 성경 속 길 열린다"… ㈜스텝투지오, 신앙 라이프스타일 앱 '말씀대로' 공식 런칭]]></title>
<link>https://datapress.kr/news/view.php?no=2581</link>
<mobile>https://datapress.kr/m/view.php?no=2581</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2581" rel="related"/>
<description><![CDATA[
   


   


   
      출퇴근·운동 등 일상적 &amp;#039;걸음&amp;#039;과 &amp;#039;성경적 묵상&amp;#039; 결합한 헬스케어-스피리추얼(Spiritual) 테크
   
   텀블벅 목표 대비 152% 달성하며 시장성 입증… 향후 AI 기술 접목 예정
   구글 플레이, 애플 앱 스토어에 동시 출시, 20일부터 누구나 만나볼 수 있어
   

&amp;#038;nbsp;
디지털 기술 발전과 함께 현대인의 생활 방식이 급변하면서 신앙생활의 패러다임 역시 &amp;#039;일상 속 지속성&amp;#039;을 중심으로 전환되고 있다. 이러한 흐름 속에서 일상의 물리적 이동(걷기)을 성경 속 인물들의 역사적 여정과 1:1로 매핑한 혁신적인 신앙 라이프스타일 앱이 등장해 눈길을 끌고 있다.

   

㈜스텝투지오는 신앙 라이프스타일 애플리케이션 &amp;#039;말씀대로(Walk the Word)&amp;#039;를 구글 플레이스토어와 애플 앱스토어에 동시 공식 런칭했다고 20일 밝혔다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 일상 &amp;#039;걸음&amp;#039;의 재해석: 걷기 운동과 묵상의 라이프스타일 융합

&amp;#039;말씀대로&amp;#039;는 사용자의 실제 걸음 수를 기반으로 성경 속 주요 인물들의 이동 경로를 단계를 거쳐 체험하도록 설계된 헬스케어 기반 신앙 앱이다.&amp;#038;nbsp;&amp;#038;nbsp;

   

주요 여정으로는 ▲예수님의 길 ▲사도 바울의 길 ▲모세의 길 등이 포함되어 있다. 예를 들어 &amp;#039;모세의 길&amp;#039;의 경우 출애굽부터 약속의 땅을 향해 나아가는 거대한 여정을 세부 구간으로 분할하여, 출퇴근길이나 산책 등 사용자의 평범한 걸음이 성경 속 인물의 역사적·신앙적 여정을 체감하는 시간으로 변산되도록 돕는다.

   

이는 바쁜 현대인들에게 "별도의 시간을 내지 않고도 일상 속에서 신앙의 연속성을 유지한다"는 차별화된 가치를 제공한다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 텀블벅 펀딩 152% 달성… &amp;#039;스피리추얼 테크&amp;#039;의 초기 수요 확인

&amp;#039;말씀대로&amp;#039;는 정식 출시에 앞서 진행된 텀블벅 크라우드 펀딩에서 목표 금액의 152%를 달성하며 초기 시장의 강한 니즈를 입증했다. 펀딩을 통해 확보된 자금은 서비스 시스템 안정화, 여정 콘텐츠의 고도화, 그리고 향후 지속 가능한 서비스 운영 기반을 마련하는 데 투입된다.&amp;#038;nbsp;&amp;#038;nbsp;

   

전문가들은 이러한 신앙 라이프스타일 앱의 인기가 단순한 걸음 수 측정(M2E, Move-to-Earn) 모델을 넘어, 개인의 정신적·영적 충족감을 결합한 &amp;#039;스피리추얼 웰니스(Spiritual Wellness)&amp;#039; 시장의 성장 가능성을 보여주는 사례라고 분석한다.

   


   ■ AI 기술 접목 및 콘텐츠 지속 확장 계획

㈜스텝투지오 관계자는 "말씀대로는 특별한 장소나 시간을 요하는 프로그램이 아닌, 우리가 매일 반복하는 &amp;#039;걷기&amp;#039;라는 행위에 말씀의 의미를 입히기 위해 기획됐다"며 "한 걸음씩 성경의 길을 따라가며 일상 속에서 말씀을 가까이하는 묵상 경험을 지속 확대해 나갈 것"이라고 전했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

관계자는 향후 사용자 피드백을 바탕으로 성경 속 인물과 사건 중심의 다양한 테마 여정을 지속해서 추가할 예정이며, 인공지능(AI) 기술을 접목해 사용자가 걷는 과정에서 한층 자연스럽고 개인화된 말씀 묵상 경험을 할 수 있도록 서비스를 확장할 방침이다.&amp;#038;nbsp;&amp;#038;nbsp;

   

&amp;#038;nbsp;
데이터프레스 공식 블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224384121414
]]></description>
<content:encoded><![CDATA[<p>
   <br />
</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260820090512_porxczzw.jpg" alt="말씀대로.JPG" style="width: 875px; height: 578px;" />
</p>
<ul>
   <li>
      <b>출퇴근·운동 등 일상적 '걸음'과 '성경적 묵상' 결합한 헬스케어-스피리추얼(Spiritual) 테크</b>
   </li>
   <li><b>텀블벅 목표 대비 152% 달성하며 시장성 입증… 향후 AI 기술 접목 예정</b></li>
   <li><b>구글 플레이, 애플 앱 스토어에 동시 출시, 20일부터 누구나 만나볼 수 있어</b></li>
   </ul>
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<p><b>&nbsp;</b></p>
<p>디지털 기술 발전과 함께 현대인의 생활 방식이 급변하면서 신앙생활의 패러다임 역시 '일상 속 지속성'을 중심으로 전환되고 있다. 이러한 흐름 속에서 일상의 물리적 이동(걷기)을 성경 속 인물들의 역사적 여정과 1:1로 매핑한 혁신적인 신앙 라이프스타일 앱이 등장해 눈길을 끌고 있다.</p>
<p>
   <br />
</p>
<p>㈜스텝투지오는 신앙 라이프스타일 애플리케이션 '말씀대로(Walk the Word)'를 구글 플레이스토어와 애플 앱스토어에 동시 공식 런칭했다고 20일 밝혔다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 일상 '걸음'의 재해석: 걷기 운동과 묵상의 라이프스타일 융합</b>
</p>
<p>'말씀대로'는 사용자의 실제 걸음 수를 기반으로 성경 속 주요 인물들의 이동 경로를 단계를 거쳐 체험하도록 설계된 헬스케어 기반 신앙 앱이다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>주요 여정으로는 ▲예수님의 길 ▲사도 바울의 길 ▲모세의 길 등이 포함되어 있다. 예를 들어 '모세의 길'의 경우 출애굽부터 약속의 땅을 향해 나아가는 거대한 여정을 세부 구간으로 분할하여, 출퇴근길이나 산책 등 사용자의 평범한 걸음이 성경 속 인물의 역사적·신앙적 여정을 체감하는 시간으로 변산되도록 돕는다.</p>
<p>
   <br />
</p>
<p>이는 바쁜 현대인들에게 "별도의 시간을 내지 않고도 일상 속에서 신앙의 연속성을 유지한다"는 차별화된 가치를 제공한다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 텀블벅 펀딩 152% 달성… '스피리추얼 테크'의 초기 수요 확인</b>
</p>
<p>'말씀대로'는 정식 출시에 앞서 진행된 텀블벅 크라우드 펀딩에서 목표 금액의 152%를 달성하며 초기 시장의 강한 니즈를 입증했다. 펀딩을 통해 확보된 자금은 서비스 시스템 안정화, 여정 콘텐츠의 고도화, 그리고 향후 지속 가능한 서비스 운영 기반을 마련하는 데 투입된다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>전문가들은 이러한 신앙 라이프스타일 앱의 인기가 단순한 걸음 수 측정(M2E, Move-to-Earn) 모델을 넘어, 개인의 정신적·영적 충족감을 결합한 '스피리추얼 웰니스(Spiritual Wellness)' 시장의 성장 가능성을 보여주는 사례라고 분석한다.</p>
<p>
   <br />
</p>
<p>
   <b>■ AI 기술 접목 및 콘텐츠 지속 확장 계획</b>
</p>
<p>㈜스텝투지오 관계자는 "말씀대로는 특별한 장소나 시간을 요하는 프로그램이 아닌, 우리가 매일 반복하는 '걷기'라는 행위에 말씀의 의미를 입히기 위해 기획됐다"며 "한 걸음씩 성경의 길을 따라가며 일상 속에서 말씀을 가까이하는 묵상 경험을 지속 확대해 나갈 것"이라고 전했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>관계자는 향후 사용자 피드백을 바탕으로 성경 속 인물과 사건 중심의 다양한 테마 여정을 지속해서 추가할 예정이며, 인공지능(AI) 기술을 접목해 사용자가 걷는 과정에서 한층 자연스럽고 개인화된 말씀 묵상 경험을 할 수 있도록 서비스를 확장할 방침이다.&nbsp;&nbsp;</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260820090609_dndpsqlr.jpg" alt="말씀대로2.JPG" style="width: 498px; height: 498px;" />
</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;"><span style="color: #7f00ff;">데이터프레스 공식 블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224384121414" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224384121414</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-20T11:16:32+09:00</atom:updated>
<atom:published>2026-08-20T09:06:31+09:00</atom:published>
</item>
<item>
<guid>2580</guid>
<title><![CDATA[원화 강세에도 반도체 솟구쳤다…7월 수출물가 폭등, 교역조건 49.7% '급개선']]></title>
<link>https://datapress.kr/news/view.php?no=2580</link>
<mobile>https://datapress.kr/m/view.php?no=2580</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2580" rel="related"/>
<description><![CDATA[한국 경제의 수출 전선에 다시 한번 강력한 반도체 동력이 가동됐다. 원/달러 환율 하락이라는 악재에도 불구하고, DRAM 등 메모리 반도체 가격의 압도적인 폭등세가 수출물가를 끌어올리며 한국의 교역조건을 크게 개선시킨 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;

   

14일 한국은행이 발표한 &amp;#039;2026년 7월 수출입물가지수 및 무역지수(잠정)&amp;#039;에 따르면, 7월 원화 기준 수출물가지수는 전월 대비 1.0%, 전년 동월 대비로는 무려 49.1% 폭등한 190.65를 기록했다.&amp;#038;nbsp;&amp;#038;nbsp;


   [2026년 7월 수출입 핵심 지표 등락률 (전년 동월 대비)]

────────────────────────────────────────────────────

   원화기준 수출물가지수&amp;#038;nbsp; :&amp;#038;nbsp; ▲ 49.1%
   원화기준 수입물가지수&amp;#038;nbsp; :&amp;#038;nbsp; ▲ 18.7% (전월비 ▼ 1.0%)
   수출물량지수&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;:&amp;#038;nbsp; ▲ 20.0%
   수출금액지수(달러)&amp;#038;nbsp; &amp;#038;nbsp; :&amp;#038;nbsp; ▲ 64.2%
   순상품교역조건지수&amp;#038;nbsp; &amp;#038;nbsp; :&amp;#038;nbsp; ▲ 24.7%
   소득교역조건지수&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;:&amp;#038;nbsp; ▲ 49.7%
   
────────────────────────────────────────────────────
* 자료: 한국은행

   


   ■ 환율 내렸는데 수출물가 오른 이유… 답은 &amp;#039;DRAM 270% 폭등&amp;#039;

7월 원/달러 평균 환율은 1,497.43원으로 전월(1,527.30원) 대비 2.0% 하락했다. 일반적으로 환율 하락은 원화 표시 수출물가를 낮추는 요인이지만, 컴퓨터·전자 및 광학기기 품목의 가파른 상승세가 이를 완전히 상쇄했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

공산품 중 컴퓨터·전자 및 광학기기 수출물가는 전월 대비 4.8%, 전년 동월 대비 122.3% 올랐다. 세부 품목별로 보면 DRAM의 원화 기준 수출물가가 전년 동월 대비 270.3%, 플래시메모리가 248.1%, 컴퓨터기억장치가 전월 대비 17.6% 상승하며 전체 지수를 끌어올렸다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 유가 하락에 수입물가는 내림세… 기업 수익성 &amp;#039;숨통&amp;#039;

반면 원화 기준 수입물가지수는 전월 대비 1.0% 하락했다.(전년 동월 대비 18.7% 상승)&amp;#038;nbsp;&amp;#038;nbsp;

   

두바이유가가 6월 배럴당 79.45달러에서 7월 76.75달러로 3.4% 하락하면서 석탄 및 석유제품(-3.9%), 1차 금속제품(-3.8%) 등 중간재를 중심으로 수입 가격이 낮아졌다. 천연가스(24.8%) 등 일부 원재료 가격 상승에도 불구하고 원유(-4.8%) 및 석유제품 하락세가 전체 수입물가를 하방 압력했다.&amp;#038;nbsp;&amp;#038;nbsp;

   

이로 인해 팔 때 받는 가격(수출)은 오르고, 사 올 때 주는 가격(수입)은 내리면서 한국의 벌어들이는 체력인 순상품교역조건지수는 전년 동월 대비 24.7% 상승했다. 수출 물량까지 20.0% 늘어나며 소득교역조건지수는 전년 동월 대비 49.7% 폭증했다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   [데이터프레스의 눈] 데이터로 본 한국 경제의 그늘

데이터는 표면적으로 화려한 부활을 가리키고 있지만, 세부 데이터를 뜯어보면 &amp;#039;반도체 외롭이 독주&amp;#039;라는 구조적 리스크가 드러난다.&amp;#038;nbsp;&amp;#038;nbsp;

   

■ 주요 수출 품목별 전월 대비 등락률 착시
&amp;#038;nbsp;
────────────────────────────────────────────────────&amp;#038;nbsp; &amp;#038;nbsp;●&amp;#038;nbsp;DRAM&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;: ▲&amp;#038;nbsp; 6.6% (전년비 ▲ 270.3%)
&amp;#038;nbsp;● 컴퓨터기억장치&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;: ▲ 17.6%
&amp;#038;nbsp;○ 화학제품&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; : ▼&amp;#038;nbsp; 3.8% (폴리프로필렌수지 -5.9%)
&amp;#038;nbsp;○ 1차금속제품&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; : ▼&amp;#038;nbsp; 3.9% (은괴 -14.0%)
&amp;#038;nbsp;○ 운송장비(RV자동차 등) : ▼&amp;#038;nbsp; 1.9%
&amp;#038;nbsp;

   ────────────────────────────────────────────────────
&amp;#038;nbsp;
컴퓨터·전자·광학기기를 제외한 화학제품(-3.8%), 1차금속(-3.9%), 운송장비(-1.9%), 섬유·가죽(-1.9%) 등 다수의 전통 제조업 분야는 전월 대비 약세를 보였다. 즉, IT와 반도체 착시를 제외하면 내수 및 여타 수출 제조업의 온기는 여전히 불균형하다는 점을 유의해야 한다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224381854569

]]></description>
<content:encoded><![CDATA[<p>한국 경제의 수출 전선에 다시 한번 강력한 반도체 동력이 가동됐다. 원/달러 환율 하락이라는 악재에도 불구하고, DRAM 등 메모리 반도체 가격의 압도적인 폭등세가 수출물가를 끌어올리며 한국의 교역조건을 크게 개선시킨 것으로 나타났다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>14일 한국은행이 발표한 '2026년 7월 수출입물가지수 및 무역지수(잠정)'에 따르면, 7월 원화 기준 수출물가지수는 전월 대비 1.0%, 전년 동월 대비로는 무려 49.1% 폭등한 190.65를 기록했다.&nbsp;&nbsp;</p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260818091457_yukbwhet.jpg" alt="수출입물가.JPG" style="width: 875px; height: 470px;" /></p>
<p>
   <b>[2026년 7월 수출입 핵심 지표 등락률 (전년 동월 대비)]</b>
</p>
<p>────────────────────────────────────────────────────</p>
<ul>
   <li>원화기준 수출물가지수&nbsp; :&nbsp; ▲ 49.1%</li>
   <li>원화기준 수입물가지수&nbsp; :&nbsp; ▲ 18.7% (전월비 ▼ 1.0%)</li>
   <li>수출물량지수&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;:&nbsp; ▲ 20.0%</li>
   <li>수출금액지수(달러)&nbsp; &nbsp; :&nbsp; ▲ 64.2%</li>
   <li>순상품교역조건지수&nbsp; &nbsp; :&nbsp; ▲ 24.7%</li>
   <li>소득교역조건지수&nbsp; &nbsp; &nbsp;:&nbsp; ▲ 49.7%</li>
   </ul>
<p>────────────────────────────────────────────────────</p>
<p>* 자료: 한국은행</p>
<p>
   <br />
</p>
<p>
   <b>■ 환율 내렸는데 수출물가 오른 이유… 답은 'DRAM 270% 폭등'</b>
</p>
<p>7월 원/달러 평균 환율은 1,497.43원으로 전월(1,527.30원) 대비 2.0% 하락했다. 일반적으로 환율 하락은 원화 표시 수출물가를 낮추는 요인이지만, 컴퓨터·전자 및 광학기기 품목의 가파른 상승세가 이를 완전히 상쇄했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>공산품 중 컴퓨터·전자 및 광학기기 수출물가는 전월 대비 4.8%, 전년 동월 대비 122.3% 올랐다. 세부 품목별로 보면 DRAM의 원화 기준 수출물가가 전년 동월 대비 270.3%, 플래시메모리가 248.1%, 컴퓨터기억장치가 전월 대비 17.6% 상승하며 전체 지수를 끌어올렸다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 유가 하락에 수입물가는 내림세… 기업 수익성 '숨통'</b>
</p>
<p>반면 원화 기준 수입물가지수는 전월 대비 1.0% 하락했다.(전년 동월 대비 18.7% 상승)&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>두바이유가가 6월 배럴당 79.45달러에서 7월 76.75달러로 3.4% 하락하면서 석탄 및 석유제품(-3.9%), 1차 금속제품(-3.8%) 등 중간재를 중심으로 수입 가격이 낮아졌다. 천연가스(24.8%) 등 일부 원재료 가격 상승에도 불구하고 원유(-4.8%) 및 석유제품 하락세가 전체 수입물가를 하방 압력했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>이로 인해 팔 때 받는 가격(수출)은 오르고, 사 올 때 주는 가격(수입)은 내리면서 한국의 벌어들이는 체력인 <b>순상품교역조건지수</b>는 전년 동월 대비 24.7% 상승했다. 수출 물량까지 20.0% 늘어나며 <b>소득교역조건지수</b>는 전년 동월 대비 49.7% 폭증했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>[데이터프레스의 눈] 데이터로 본 한국 경제의 그늘</b>
</p>
<p>데이터는 표면적으로 화려한 부활을 가리키고 있지만, 세부 데이터를 뜯어보면 '반도체 외롭이 독주'라는 구조적 리스크가 드러난다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>■ 주요 수출 품목별 전월 대비 등락률 착시</p>
<p>&nbsp;</p>
<p>────────────────────────────────────────────────────&nbsp; &nbsp;●&nbsp;DRAM&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: ▲&nbsp; 6.6% (전년비 ▲ 270.3%)</p>
<p>&nbsp;● 컴퓨터기억장치&nbsp; &nbsp; &nbsp; &nbsp;: ▲ 17.6%</p>
<p>&nbsp;○ 화학제품&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : ▼&nbsp; 3.8% (폴리프로필렌수지 -5.9%)</p>
<p>&nbsp;○ 1차금속제품&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : ▼&nbsp; 3.9% (은괴 -14.0%)</p>
<p>&nbsp;○ 운송장비(RV자동차 등) : ▼&nbsp; 1.9%</p>
<p>&nbsp;</p>
<p>
   ────────────────────────────────────────────────────</p>
<p>&nbsp;</p>
<p>컴퓨터·전자·광학기기를 제외한 화학제품(-3.8%), 1차금속(-3.9%), 운송장비(-1.9%), 섬유·가죽(-1.9%) 등 다수의 전통 제조업 분야는 전월 대비 약세를 보였다. 즉, IT와 반도체 착시를 제외하면 내수 및 여타 수출 제조업의 온기는 여전히 불균형하다는 점을 유의해야 한다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224381854569" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224381854569</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-18T09:28:32+09:00</atom:updated>
<atom:published>2026-08-18T09:11:38+09:00</atom:published>
</item>
<item>
<guid>2579</guid>
<title><![CDATA[‘조정받는 코스피, 곳간 잠근 가계’…7월 금융시장에 드러난 3가지 자금 흐름]]></title>
<link>https://datapress.kr/news/view.php?no=2579</link>
<mobile>https://datapress.kr/m/view.php?no=2579</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2579" rel="related"/>
<description><![CDATA[
- 국고채 금리 급등 후 일시 소강… 코스피는 AI·지정학 리스크에 큰 폭 조정
- 가계대출 증가세는 주춤한 반면, 부가세·운전자금 급증에 기업대출 확대
- 자산운용사 주식형 펀드 56조 증발… 시중 자금, 정기예금 등 안전자산으로 유턴

한국은행이 14일 발표한 ‘2026년 7월 금융시장 동향’에 따르면, 지난달 국내 금융시장은 금리 상승 압력과 증시 조정 속에서 시중 자금의 이동 속도가 가팔라진 것으로 나타났다. 시장 참가가들의 불안 심리와 기업의 긴급 자금 수요, 그리고 가계의 대출 숨고르기가 복합적으로 작용한 결과다. 이번 지표 분석을 통해 읽어낼 수 있는 핵심 경제 인사이트는 세 가지다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 증시 변동성 확대와 ‘위험자산 회피(Risk-off)’의 가속화
7월 증시는 AI 산업 성장세에 대한 우려와 중동 지역의 지정학적 불확실성, 외국인의 지속적인 순매도세가 맞물리며 큰 폭의 조정을 받았다. 코스피는 전월 대비 약 19.6%, 코스닥은 6.0% 하락했다.&amp;#038;nbsp;&amp;#038;nbsp;

이로 인해 금융기관 수신 지표에서도 뚜렷한 &amp;#039;머니무브&amp;#039;가 포착됐다. 자산운용사의 주식형펀드 수신 잔액은 주가 하락 여파로 7월 중 무려 56조 2천억 원 급감했다. 투자 심리가 얼어붙으면서 시중 유동성이 주식시장과 위험 자산에서 빠르게 이탈하고 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 가계는 ‘대출 숨고르기’, 기업은 ‘자금 확보 총력’
대출 시장에서는 가계와 기업의 확연한 온도 차가 드러났다.&amp;#038;nbsp;&amp;#038;nbsp;

△ 가계대출: 7월 은행 가계대출은 5조 4천억 원 증가해 전월(+7조 6천억 원) 대비 증가 규모가 축소됐다. 수도권 주택거래 영향은 유지됐으나 전세자금대출 감소세 지속과 개인 주식투자 둔화(+52조 원 → +3조 4천억 원)가 가계 대출 세를 누른 원인이다.&amp;#038;nbsp;&amp;#038;nbsp;

△ 기업대출: 반면 기업대출은 7조 7천억 원 늘어나며 전월(+5조 1천억 원)보다 증가 폭을 크게 넓혔다. 대기업은 회사채 발행 부담에 따른 운전자금 확보 수요가 이어졌고, 중소기업은 부가가치세 납부(7월 27일) 및 일부 은행의 대출 영업 확대로 자금 수요가 대폭 늘어났다.&amp;#038;nbsp;&amp;#038;nbsp;


■ 정기예금으로 유턴한 시중 자금… 은행권의 대출 재원 확보 전략
수신 시장에서는 수시입출식 예금이 80조 8천억 원이나 빠져나간 반면, 정기예금에는 42조 3천억 원이 몰렸다.&amp;#038;nbsp;&amp;#038;nbsp;

이는 기업의 부가가치세 납부 등 계절적 자금 유출과 함께, 은행들이 대출 재원을 확보하고 규제 비율을 관리하기 위해 정기예금 유치에 적극적으로 나섰기 때문이다. 금리 추가 인상 기대감과 증시 불확실성이 겹치면서 자금의 고금리 정기예금 쏠림 현상은 당분간 계속될 전망이다.
&amp;#038;nbsp;
데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224378651991
]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260814163526_gbrqlyge.jpg" alt="7월 금융시장 동향.JPG" style="width: 875px; height: 489px;" /></p>
<p>- 국고채 금리 급등 후 일시 소강… 코스피는 AI·지정학 리스크에 큰 폭 조정</p>
<p>- 가계대출 증가세는 주춤한 반면, 부가세·운전자금 급증에 기업대출 확대</p>
<p>- 자산운용사 주식형 펀드 56조 증발… 시중 자금, 정기예금 등 안전자산으로 유턴</p>
<p><br /></p>
<p>한국은행이 14일 발표한 <b>‘2026년 7월 금융시장 동향’</b>에 따르면, 지난달 국내 금융시장은 금리 상승 압력과 증시 조정 속에서 시중 자금의 이동 속도가 가팔라진 것으로 나타났다. 시장 참가가들의 불안 심리와 기업의 긴급 자금 수요, 그리고 가계의 대출 숨고르기가 복합적으로 작용한 결과다. 이번 지표 분석을 통해 읽어낼 수 있는 핵심 경제 인사이트는 세 가지다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 증시 변동성 확대와 ‘위험자산 회피(Risk-off)’의 가속화</b></p>
<p>7월 증시는 AI 산업 성장세에 대한 우려와 중동 지역의 지정학적 불확실성, 외국인의 지속적인 순매도세가 맞물리며 큰 폭의 조정을 받았다. 코스피는 전월 대비 약 19.6%, 코스닥은 6.0% 하락했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>이로 인해 금융기관 수신 지표에서도 뚜렷한 '머니무브'가 포착됐다. 자산운용사의 주식형펀드 수신 잔액은 주가 하락 여파로 7월 중 무려 56조 2천억 원 급감했다. 투자 심리가 얼어붙으면서 시중 유동성이 주식시장과 위험 자산에서 빠르게 이탈하고 있음을 보여준다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 가계는 ‘대출 숨고르기’, 기업은 ‘자금 확보 총력’</b></p>
<p>대출 시장에서는 가계와 기업의 확연한 온도 차가 드러났다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>△ 가계대출</b>: 7월 은행 가계대출은 5조 4천억 원 증가해 전월(+7조 6천억 원) 대비 증가 규모가 축소됐다. 수도권 주택거래 영향은 유지됐으나 전세자금대출 감소세 지속과 개인 주식투자 둔화(+52조 원 → +3조 4천억 원)가 가계 대출 세를 누른 원인이다.&nbsp;&nbsp;
</p>
<p><b>△ 기업대출</b>: 반면 기업대출은 7조 7천억 원 늘어나며 전월(+5조 1천억 원)보다 증가 폭을 크게 넓혔다. 대기업은 회사채 발행 부담에 따른 운전자금 확보 수요가 이어졌고, 중소기업은 부가가치세 납부(7월 27일) 및 일부 은행의 대출 영업 확대로 자금 수요가 대폭 늘어났다.&nbsp;&nbsp;
</p>
<p><b><br /></b></p>
<p><b>■ 정기예금으로 유턴한 시중 자금… 은행권의 대출 재원 확보 전략</b></p>
<p>수신 시장에서는 수시입출식 예금이 80조 8천억 원이나 빠져나간 반면, 정기예금에는 42조 3천억 원이 몰렸다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>이는 기업의 부가가치세 납부 등 계절적 자금 유출과 함께, 은행들이 대출 재원을 확보하고 규제 비율을 관리하기 위해 정기예금 유치에 적극적으로 나섰기 때문이다. 금리 추가 인상 기대감과 증시 불확실성이 겹치면서 자금의 고금리 정기예금 쏠림 현상은 당분간 계속될 전망이다.</p>
<p>&nbsp;</p>
<p><span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224378651991" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224378651991</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-14T16:42:27+09:00</atom:updated>
<atom:published>2026-08-14T16:36:39+09:00</atom:published>
</item>
<item>
<guid>2578</guid>
<title><![CDATA[4,200조 돌파한 시중 유동성… 돈 쥐어짠 기업 vs 지갑 닫은 가계]]></title>
<link>https://datapress.kr/news/view.php?no=2578</link>
<mobile>https://datapress.kr/m/view.php?no=2578</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2578" rel="related"/>
<description><![CDATA[
시중 통화량이 4,200조 원을 돌파하며 가파른 증가세를 이어가고 있는 가운데, 경제 주체별 &amp;#039;돈의 흐름&amp;#039;이 가계와 기업 간 확연히 엇갈리고 있는 것으로 나타났다. 기업들은 단기 여유 자금과 예적금을 끌어모으며 대규모 유동성을 확보한 반면, 가계는 통화 보유량이 크게 줄어들며 지갑을 닫거나 자금을 다른 자산으로 이동시키는 모습을 보였다.&amp;#038;nbsp;&amp;#038;nbsp;


&amp;#038;nbsp;■ M2 평잔 4,213.0조 원… 전년 대비 6.0% 증가
14일 한국은행이 발표한 &amp;#039;2026년 6월 통화 및 유동성&amp;#039; 동향에 따르면, 6월 광의통화(M2, 계절조정계열 평잔 기준)는 4,213.0조 원으로 전월 대비 0.7%(+29.4조 원) 증가했다. 전년 동월 대비(원계열 기준) 증가율은 6.0%로, 5월(5.8%)보다 상승폭을 키웠다.&amp;#038;nbsp;&amp;#038;nbsp;

M2는 현금과 요구불예금(M1) 외에도 MMF(머니마켓펀드), 2년 미만 정기예적금, 금전신탁 등 즉각 현금화가 가능한 단기 금융상품을 포함하는 대표적인 통화 지표다.&amp;#038;nbsp;&amp;#038;nbsp;

■비금융기업 ‘+45.7조 원’ 폭증 vs 가계 ‘-19.8조 원’ 축소
이번 통계에서 가장 눈에 띄는 대목은 주체별 통화량의 극단적 양극화다.&amp;#038;nbsp;&amp;#038;nbsp;

6월 한 달 동안 비금융기업의 M2 보유량은 전월 대비 45.7조 원 급증했다. 반도체 등 주요 수출 기업의 매출 대금 유입 및 자금 확보 노력이 이어진 결과다. 금융기관 중에서는 기타금융기관이 5.4조 원 증가하며 뒤를 이었다.&amp;#038;nbsp;&amp;#038;nbsp;

반면, 가계 및 비영리단체의 M2 보유량은 19.8조 원 감소했다. 고금리와 물가 부담 속에서 가계의 예금 인출 및 자금 이탈이 이어진 것으로 분석된다. 사회보장기구 및 지방정부 등 기타부문도 1.1조 원 감소했다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 단기 여유자금 MMF·금전신탁으로… 정기예적금도 기업 유입에 ‘증가 전환’
상품별로는 기업들의 단기 여유자금 운용 수단이 M2 증가를 견인했다.&amp;#038;nbsp;&amp;#038;nbsp;

△&amp;#038;nbsp;MMF(머니마켓펀드): 비금융기업의 단기 여유자금 운용 확대 등으로 전월 대비 7.3조 원 증가&amp;#038;nbsp;&amp;#038;nbsp;
△ 2년 미만 정기예적금: 기업 보유분이 늘어나면서 전월 대비 7.1조 원 증가(증가 전환)&amp;#038;nbsp;&amp;#038;nbsp;
△ 2년 미만 금전신탁: 반도체 기업 등의 예치자금 유입에 힘입어 6.3조 원 증가

한편 협의통화(M1, 평잔)는 1,402.9조 원으로 전월 대비 0.4%, 전년 동월 대비 10.0% 증가했다. 금융기관유동성(Lf)과 광의유동성(L) 역시 전월 대비 각각 1.0%, 0.8% 늘어나며 전체적인 유동성 확장 기조를 유지했다.&amp;#038;nbsp;&amp;#038;nbsp;

[데이터프레스의 눈] 기업의 &amp;#039;실렛&amp;#039; 장전과 가계의 &amp;#039;긴축&amp;#039;… 경기 불확실성 대비?
이번 데이터는 경제 현장에 대한 중요한 시사점을 제공한다.

첫째, 기업들의 강한 현금 확보 욕구다.&amp;#038;nbsp;
반도체 업황 회복 등에 힘입어 유입된 자금을 장기 투자로 직행시키기보다, MMF나 금전신탁, 정기예적금 등 유동성이 높은 자산으로 쌓아두고 있다. 이는 향후 설비투자나 M&amp;#038;amp;A를 위한 실탄 확보 목적이거나, 하반기 경기 불확실성에 대비한 defensive(방어적) 전략으로 풀이된다.&amp;#038;nbsp;&amp;#038;nbsp;

둘째, 가계 자금의 구조적 변화다.&amp;#038;nbsp;

가계 M2가 20조 원 가깝게 빠져나간 것은 가계 부채 상환, 소비 지출 확대, 혹은 주식·부동산 등 통화지표(M2) 범주 밖의 다른 자산시장으로의 자금 이동 가능성을 복합적으로 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

기업으로 들어간 돈이 실제 투자와 고용 창출로 이어져 가계 소득으로 순환될 수 있을지가 향후 경기 회복의 핵심 열쇠가 될 전망이다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224378637395

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260814162114_gxddtoho.jpg" alt="6월 통화 및 유동성2.JPG" style="width: 875px; height: 488px;" /></p>
<p>시중 통화량이 4,200조 원을 돌파하며 가파른 증가세를 이어가고 있는 가운데, 경제 주체별 '돈의 흐름'이 가계와 기업 간 확연히 엇갈리고 있는 것으로 나타났다. 기업들은 단기 여유 자금과 예적금을 끌어모으며 대규모 유동성을 확보한 반면, 가계는 통화 보유량이 크게 줄어들며 지갑을 닫거나 자금을 다른 자산으로 이동시키는 모습을 보였다.&nbsp;&nbsp;</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260814161845_kxlevmaz.jpg" alt="6월 통화 및 유동성.JPG" style="width: 788px; height: 1117px;" /></p>
<p><b>&nbsp;■ M2 평잔 4,213.0조 원… 전년 대비 6.0% 증가</b></p>
<p>14일 한국은행이 발표한 '2026년 6월 통화 및 유동성' 동향에 따르면, 6월 광의통화(M2, 계절조정계열 평잔 기준)는 4,213.0조 원으로 전월 대비 0.7%(+29.4조 원) 증가했다. 전년 동월 대비(원계열 기준) 증가율은 6.0%로, 5월(5.8%)보다 상승폭을 키웠다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>M2는 현금과 요구불예금(M1) 외에도 MMF(머니마켓펀드), 2년 미만 정기예적금, 금전신탁 등 즉각 현금화가 가능한 단기 금융상품을 포함하는 대표적인 통화 지표다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■비금융기업 ‘+45.7조 원’ 폭증 vs 가계 ‘-19.8조 원’ 축소</b></p>
<p>이번 통계에서 가장 눈에 띄는 대목은 주체별 통화량의 극단적 양극화다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>6월 한 달 동안 비금융기업의 M2 보유량은 전월 대비 45.7조 원 급증했다. 반도체 등 주요 수출 기업의 매출 대금 유입 및 자금 확보 노력이 이어진 결과다. 금융기관 중에서는 기타금융기관이 5.4조 원 증가하며 뒤를 이었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>반면, 가계 및 비영리단체의 M2 보유량은 19.8조 원 감소했다. 고금리와 물가 부담 속에서 가계의 예금 인출 및 자금 이탈이 이어진 것으로 분석된다. 사회보장기구 및 지방정부 등 기타부문도 1.1조 원 감소했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 단기 여유자금 MMF·금전신탁으로… 정기예적금도 기업 유입에 ‘증가 전환’</b></p>
<p>상품별로는 기업들의 단기 여유자금 운용 수단이 M2 증가를 견인했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>△&nbsp;MMF(머니마켓펀드): 비금융기업의 단기 여유자금 운용 확대 등으로 전월 대비 7.3조 원 증가&nbsp;&nbsp;</p>
<p>△ 2년 미만 정기예적금: 기업 보유분이 늘어나면서 전월 대비 7.1조 원 증가(증가 전환)&nbsp;&nbsp;</p>
<p>△ 2년 미만 금전신탁: 반도체 기업 등의 예치자금 유입에 힘입어 6.3조 원 증가</p>
<p><br /></p>
<p>한편 협의통화(M1, 평잔)는 1,402.9조 원으로 전월 대비 0.4%, 전년 동월 대비 10.0% 증가했다. 금융기관유동성(Lf)과 광의유동성(L) 역시 전월 대비 각각 1.0%, 0.8% 늘어나며 전체적인 유동성 확장 기조를 유지했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>[데이터프레스의 눈] 기업의 '실렛' 장전과 가계의 '긴축'… 경기 불확실성 대비?</b></p>
<p>이번 데이터는 경제 현장에 대한 중요한 시사점을 제공한다.</p>
<p><br /></p>
<p><b>첫째, 기업들의 강한 현금 확보 욕구다.&nbsp;</b></p>
<p>반도체 업황 회복 등에 힘입어 유입된 자금을 장기 투자로 직행시키기보다, MMF나 금전신탁, 정기예적금 등 유동성이 높은 자산으로 쌓아두고 있다. 이는 향후 설비투자나 M&amp;A를 위한 실탄 확보 목적이거나, 하반기 경기 불확실성에 대비한 defensive(방어적) 전략으로 풀이된다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>둘째, 가계 자금의 구조적 변화다.</b>&nbsp;
</p>
<p>가계 M2가 20조 원 가깝게 빠져나간 것은 가계 부채 상환, 소비 지출 확대, 혹은 주식·부동산 등 통화지표(M2) 범주 밖의 다른 자산시장으로의 자금 이동 가능성을 복합적으로 보여준다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>기업으로 들어간 돈이 실제 투자와 고용 창출로 이어져 가계 소득으로 순환될 수 있을지가 향후 경기 회복의 핵심 열쇠가 될 전망이다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224378637395" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224378637395</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-14T16:28:45+09:00</atom:updated>
<atom:published>2026-08-14T16:21:58+09:00</atom:published>
</item>
<item>
<guid>2577</guid>
<title><![CDATA[웹케시, 국내 최초 B2B 바이브 코딩 플랫폼 ‘AXPort’ 9월 출시… 출시 전 얼리버드 모집]]></title>
<link>https://datapress.kr/news/view.php?no=2577</link>
<mobile>https://datapress.kr/m/view.php?no=2577</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2577" rel="related"/>
<description><![CDATA[
   

&amp;#038;nbsp;
B2B 금융 AI 기업 웹케시(대표이사 강원주)가 현업 실무자를 위한 국내 최초 B2B 바이브 코딩 통합 플랫폼 ‘AXPort(에이엑스포트)’의 얼리버드 참여 기업·직원을 오는 31일까지 모집한다고 12일 밝혔다.

   

오는 9월 정식 출시를 앞둔 AXPort는 코딩 경험이 없는 현업 실무자도 자연어 대화를 통해 필요한 업무용 웹·앱을 직접 만들 수 있는 B2B 바이브 코딩 통합 플랫폼이다. 직원은 회사가 승인한 환경에서 필요한 앱을 자유롭게 만들고, 기업은 제작된 앱과 코드, 데이터를 안전하게 관리해 조직의 자산으로 축적할 수 있다.

   


   AXPort의 핵심 기능은 네 가지다.&amp;#038;nbsp;

① 설치 없이 브라우저 접속만으로 시작하는 클로드코드(Claude Code) 기반 웹 IDE&amp;#038;nbsp;
② 데이터 분리·암호화와 관리자 통제로 코드 레벨까지 지키는 보안·거버넌스&amp;#038;nbsp;
③ &amp;#039;배포해’ 한마디로 빌드·배포·보안점검을 자동 실행하는 배포 자동화
④ 스킬·플러그인·MCP·API로 조직 내 앱을 연결하고 공유 카탈로그로 자산화하는 공유 기반이다.

   

여기에 프라이빗 쇼룸과 감사(audit) 로그를 더해 누가 무엇을 만들어 쓰는지 회사가 투명하게 파악할 수 있다. 비용 역시 개인이 아닌 회사가 라이선스를 부담하는 승인된 환경에서 개발이 이뤄진다.

   

AXPort는 웹케시그룹이 자체적으로 검증을 마친 방식이다.&amp;#038;nbsp;
그룹 내부에서만 재무, 회계, 영업, 마케팅, 인사, 총무, 구매 등 다양한 직군에서 29명의 현업 실무자가 40개의 AX 시스템을 직접 개발·운영 중이다. 거래 데이터를 엑셀로 취합하던 자금 관리는 ‘실시간 자금 대시보드’에서, 결재 내역을 내려받아 수작업으로 체크하던 법인카드 감사는 그룹웨어와 연동된 ‘법인카드 규정위반 자동 감지’에서 자동 처리 중이다. 이밖에 계약서를 템플릿 기반으로 자동 작성해주는 ‘계약서 자동 작성’ 등 실제 사내에서 쓰이는 앱 모두 비개발자인 현업 실무자가 직접 만든 결과물이다.

   

또한 웹케시는 AXPort 정식 출시를 앞두고 서비스를 미리 경험할 수 있도록 일부 기업과 직원을 대상으로 얼리버드 프로그램을 마련했다. 이번 얼리버드 프로그램은 총 4000만원의 혜택을 제공하며 기업 5개사와 직원 20명을 대상으로 진행된다.

   


   선정된 기업에는 3개월간 400만원 상당의 △AXPort 전 기능 무료 이용 △AX 전문가의 현장 컨설팅 및 교육 △부서별 핵심 과제를 정의하는 현장 워크숍 △전담 담당자의 주 1회 점검 △프로그램 종료 후 AX 진단 리포트 △정식 도입 시 별도 혜택 등을 제공한다.


   

직원 참여자에게는 1개월간 100만원 상당의 주요 기능 무료 이용과 온라인 컨설팅, 앱·데이터 내보내기 등을 지원한다.

   

강원주 웹케시 대표는 “기업 내부 시스템이 담지 못한 세부 업무는 외부 개발만으론 효율적으로 해결하기 어렵다”며 “AXPort는 업무를 가장 잘 아는 현업이 필요한 앱을 직접 만들고, 기업은 그 결과물을 보안 정책 안에서 안전하게 관리·자산화하도록 설계했다”고 말했다.

   

이어 “웹케시그룹이 실제 업무 현장에서 먼저 검증한 경험을 바탕으로 참여 기업과 직원이 구체적인 성과를 만들 수 있도록 지원하고, AXPort를 기업 AX의 표준 플랫폼으로 성장시키겠다”고 덧붙였다.

   

AXPort 얼리버드 프로그램은 오는 31일까지 신청할 수 있다. 모집 종료 후 선정 결과와 향후 일정은 대상자에게 개별 안내할 예정이다. 자세한 내용 확인과 참여 신청은 웹케시 홈페이지의 AXPort 얼리버드 이벤트 페이지에서 가능하다.

   


   **웹케시 소개


   

웹케시(대표 강원주)는 IMF 이전 부산, 경남 지역을 연고로 전자 금융을 선도하던 동남은행 출신들이 설립한 핀테크 전문 기업으로, 1999년 설립 이후 27년간 국내 최고 기술 및 전문 인력을 바탕으로 비즈니스 소프트웨어(SW) 분야의 혁신을 이뤄오고 있다. 웹케시는 설립 후 지금까지 다양한 혁신 기술과 서비스를 선보여 왔다. 2000년 편의점 ATM 및 가상계좌 서비스, 2001년 국내 최초 기업 전용 인터넷 뱅킹, 2004년 자금관리서비스(CMS) 등은 현재 보편화한 기업 금융 서비스로 자리 잡았다. 뿐만 아니라 업계 최초로 B2B 핀테크 연구 센터를 설립해 사례 조사, 비즈니스 상품 개발 및 확산, 금융 기관 대상 핀테크 전략 수립 컨설팅 등 분야 전반에 걸친 연구 및 컨설팅 업무를 수행하며 B2B 핀테크 사업에 박차를 가하고 있다.

   

-웹사이트: http://www.webcash.co.kr
&amp;#038;nbsp;
-공식블로그 :&amp;#038;nbsp;코딩 몰라도 자연어로 업무 앱을 만든다? 웹케.. : 네이버블로그
&amp;#038;nbsp;
]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260812115957_vptmoppw.png" alt="AXPort.png" style="width: 640px; height: 226px;" />
</p>
<p style="text-align: center;">&nbsp;</p>
<p style="text-align: left;">B2B 금융 AI 기업 웹케시(대표이사 강원주)가 현업 실무자를 위한 국내 최초 B2B 바이브 코딩 통합 플랫폼 ‘AXPort(에이엑스포트)’의 얼리버드 참여 기업·직원을 오는 31일까지 모집한다고 12일 밝혔다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">오는 9월 정식 출시를 앞둔 AXPort는 코딩 경험이 없는 현업 실무자도 자연어 대화를 통해 필요한 업무용 웹·앱을 직접 만들 수 있는 B2B 바이브 코딩 통합 플랫폼이다. 직원은 회사가 승인한 환경에서 필요한 앱을 자유롭게 만들고, 기업은 제작된 앱과 코드, 데이터를 안전하게 관리해 조직의 자산으로 축적할 수 있다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">
   <b>AXPort의 핵심 기능은 네 가지다.&nbsp;</b>
</p>
<p style="text-align: left;">① 설치 없이 브라우저 접속만으로 시작하는 클로드코드(Claude Code) 기반 웹 IDE&nbsp;</p>
<p style="text-align: left;">② 데이터 분리·암호화와 관리자 통제로 코드 레벨까지 지키는 보안·거버넌스&nbsp;</p>
<p style="text-align: left;">③ '배포해’ 한마디로 빌드·배포·보안점검을 자동 실행하는 배포 자동화</p>
<p style="text-align: left;">④ 스킬·플러그인·MCP·API로 조직 내 앱을 연결하고 공유 카탈로그로 자산화하는 공유 기반이다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">여기에 프라이빗 쇼룸과 감사(audit) 로그를 더해 누가 무엇을 만들어 쓰는지 회사가 투명하게 파악할 수 있다. 비용 역시 개인이 아닌 회사가 라이선스를 부담하는 승인된 환경에서 개발이 이뤄진다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">AXPort는 웹케시그룹이 자체적으로 검증을 마친 방식이다.&nbsp;</p>
<p style="text-align: left;">그룹 내부에서만 재무, 회계, 영업, 마케팅, 인사, 총무, 구매 등 다양한 직군에서 29명의 현업 실무자가 40개의 AX 시스템을 직접 개발·운영 중이다. 거래 데이터를 엑셀로 취합하던 자금 관리는 ‘실시간 자금 대시보드’에서, 결재 내역을 내려받아 수작업으로 체크하던 법인카드 감사는 그룹웨어와 연동된 ‘법인카드 규정위반 자동 감지’에서 자동 처리 중이다. 이밖에 계약서를 템플릿 기반으로 자동 작성해주는 ‘계약서 자동 작성’ 등 실제 사내에서 쓰이는 앱 모두 비개발자인 현업 실무자가 직접 만든 결과물이다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">또한 웹케시는 AXPort 정식 출시를 앞두고 서비스를 미리 경험할 수 있도록 일부 기업과 직원을 대상으로 얼리버드 프로그램을 마련했다. 이번 얼리버드 프로그램은 총 4000만원의 혜택을 제공하며 기업 5개사와 직원 20명을 대상으로 진행된다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">
   <b>선정된 기업에는 3개월간 400만원 상당의 △AXPort 전 기능 무료 이용 △AX 전문가의 현장 컨설팅 및 교육 △부서별 핵심 과제를 정의하는 현장 워크숍 △전담 담당자의 주 1회 점검 △프로그램 종료 후 AX 진단 리포트 △정식 도입 시 별도 혜택 등을 제공한다.</b>
</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">직원 참여자에게는 1개월간 100만원 상당의 주요 기능 무료 이용과 온라인 컨설팅, 앱·데이터 내보내기 등을 지원한다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">강원주 웹케시 대표는 “기업 내부 시스템이 담지 못한 세부 업무는 외부 개발만으론 효율적으로 해결하기 어렵다”며 “AXPort는 업무를 가장 잘 아는 현업이 필요한 앱을 직접 만들고, 기업은 그 결과물을 보안 정책 안에서 안전하게 관리·자산화하도록 설계했다”고 말했다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">이어 “웹케시그룹이 실제 업무 현장에서 먼저 검증한 경험을 바탕으로 참여 기업과 직원이 구체적인 성과를 만들 수 있도록 지원하고, AXPort를 기업 AX의 표준 플랫폼으로 성장시키겠다”고 덧붙였다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">AXPort 얼리버드 프로그램은 오는 31일까지 신청할 수 있다. 모집 종료 후 선정 결과와 향후 일정은 대상자에게 개별 안내할 예정이다. 자세한 내용 확인과 참여 신청은 웹케시 홈페이지의 AXPort 얼리버드 이벤트 페이지에서 가능하다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">
   <b>**웹케시 소개</b>
</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">웹케시(대표 강원주)는 IMF 이전 부산, 경남 지역을 연고로 전자 금융을 선도하던 동남은행 출신들이 설립한 핀테크 전문 기업으로, 1999년 설립 이후 27년간 국내 최고 기술 및 전문 인력을 바탕으로 비즈니스 소프트웨어(SW) 분야의 혁신을 이뤄오고 있다. 웹케시는 설립 후 지금까지 다양한 혁신 기술과 서비스를 선보여 왔다. 2000년 편의점 ATM 및 가상계좌 서비스, 2001년 국내 최초 기업 전용 인터넷 뱅킹, 2004년 자금관리서비스(CMS) 등은 현재 보편화한 기업 금융 서비스로 자리 잡았다. 뿐만 아니라 업계 최초로 B2B 핀테크 연구 센터를 설립해 사례 조사, 비즈니스 상품 개발 및 확산, 금융 기관 대상 핀테크 전략 수립 컨설팅 등 분야 전반에 걸친 연구 및 컨설팅 업무를 수행하며 B2B 핀테크 사업에 박차를 가하고 있다.</p>
<p style="text-align: left;">
   <br />
</p>
<p style="text-align: left;">-웹사이트: http://www.webcash.co.kr</p>
<p style="text-align: left;">&nbsp;</p>
<p style="text-align: left;">-공식블로그 :&nbsp;<a href="https://blog.naver.com/datapress21/224376151737" target="_blank">코딩 몰라도 자연어로 업무 앱을 만든다? 웹케.. : 네이버블로그</a></p>
<p style="text-align: left;">&nbsp;</p>
]]></content:encoded>

<atom:category label="산업경제" term="20140925141517_2597"/>
<author>datapress21@gmail.com 김선희</author>
<atom:updated>2026-08-12T12:41:54+09:00</atom:updated>
<atom:published>2026-08-12T12:05:07+09:00</atom:published>
</item>
<item>
<guid>2576</guid>
<title><![CDATA[7월 취업자 10만8천명↑… 늘었지만 웃을 수만은 없다. 청년 고용 불안 여전...]]></title>
<link>https://datapress.kr/news/view.php?no=2576</link>
<mobile>https://datapress.kr/m/view.php?no=2576</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2576" rel="related"/>
<description><![CDATA[
&amp;#038;nbsp;
국가데이터처가 12일 발표한 ‘2026년 7월 고용동향’에 따르면 지난달 15세 이상 취업자 수는 2,913만 6천 명으로 전년 동월 대비 10만 8천 명(0.4%) 증가한 것으로 나타났다.&amp;#038;nbsp; 15세 이상 고용률은 63.3%로 전년 동월 대비 0.1%p 하락했으나, OECD 비교 기준인 15~64세 고용률은 70.3%로 0.1%p 상승했다. 같은 기간 실업자는 77만 6천 명으로 5만 명(6.9%) 늘었으며, 실업률은 2.6%로 0.2%p 상승했다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
■ 보건·복지업 증가세 지속… 제조업·건설업·농림어업은 감소
&amp;#038;nbsp;산업별로는 보건업 및 사회복지 서비스업(17만 3천 명, 5.3%), 예술·스포츠 및 여가 관련 서비스업(4만 8천 명, 8.4%), 공공행정·국방 및 사회보장 행정(4만 6천 명, 3.5%) 등에서 취업자 수가 꾸준히 증가했다.&amp;#038;nbsp; 반면 농림어업(-8만 명, -5.4%), 제조업(-6만 8천 명, -1.6%), 건설업(-5만 7천 명, -3.0%) 등 주요 양질의 일자리 부문에서는 취업자 감소세가 이어졌다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
■ 청년층 고용 지표 약세… 60세 이상·30대 주도
연령대별로는 고용 격차가 뚜렷하게 나타났다. 60세 이상 취업자가 23만 1천 명 증가하고 30대(6만 5천 명), 50대(3만 3천 명)가 뒤를 이은 반면, 20대 취업자는 20만 4천 명, 40대는 3만 1천 명 각각 감소했다.&amp;#038;nbsp; 청년층(15~29세) 고용 지표는 다소 악화되었다. 청년층 취업자 수는 전년 동월 대비 19만 1천 명 감소하였으며, 고용률은 44.2%로 1.6%p 하락했다. 실업률 역시 6.8%로 전년 동월 대비 1.3%p 상승한 것으로 조사됐다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
■&amp;#038;nbsp;자영업자 늘고 임시·일용직 줄어… 주당 평균 취업시간 감소
종사상 지위별로는 상용근로자가 7만 1천 명(0.4%) 증가한 반면, 임시근로자(-4만 명, -0.8%)와 일용근로자(-4만 1천 명, -4.8%)는 감소세를 보였다. 자영업 부문에서는 고용원 있는 자영업자와 고용원 없는 자영업자가 각각 7만 5천 명씩 증가했으나, 무급가족종사자는 3만 2천 명 감소했다.&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;한편, 취업시간대별로는 36시간 미만 취업자가 1,474만 2천 명으로 크게 늘어난 반면, 36시간 이상 취업자는 1,388만 8천 명으로 줄어들었다. 이에 따라 전체 주당 평균 취업시간은 35.2시간으로 전년 동월 대비 3시간 감소했다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
비경제활동인구는 1,610만 3천 명으로 전년 대비 9만 9천 명(0.6%) 증가했으며, 이 중 ‘쉬었음’ 인구는 251만 8천 명으로 20대와 50대를 중심으로 전년 대비 6만 2천 명 감소한 것으로 나타났다.&amp;#038;nbsp;
&amp;#038;nbsp;
[데이터프레스의 눈]
제조업과 건설업 등 주요 산업의 고용 침체 속에서 보건·복지업 중심의 고용 증가와 60세 이상 장년층 주도의 취업자 수 확대는 고용 시장의 체질 변화와 인구 구조적 한계를 동시에 드러내고 있습니다. 특히 청년층 고용률 감소와 청년 실업률 상승, 주당 평균 취업시간의 급감은 양질의 청년 일자리 부족과 단기·파트타임 중심의 고용 구조 고착화라는 과제를 던져주고 있어, 지속 가능한 성장과 미래 세대 고용 안정을 위한 정책적 대책 마련이 시급해 보입니다.
&amp;#038;nbsp;
공식블로그 :&amp;#038;nbsp;취업자 수 증가의 착시? 왜 청년들은 취업 시.. : 네이버블로그
]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260812114301_dtwkcsci.png" alt="고용동향.png" style="width: 669px; height: 983px;" /></p>
<p>&nbsp;</p>
<p>국가데이터처가 12일 발표한 ‘2026년 7월 고용동향’에 따르면 지난달 15세 이상 취업자 수는 2,913만 6천 명으로 전년 동월 대비 10만 8천 명(0.4%) 증가한 것으로 나타났다.&nbsp; 15세 이상 고용률은 63.3%로 전년 동월 대비 0.1%p 하락했으나, OECD 비교 기준인 15~64세 고용률은 70.3%로 0.1%p 상승했다. 같은 기간 실업자는 77만 6천 명으로 5만 명(6.9%) 늘었으며, 실업률은 2.6%로 0.2%p 상승했다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p><b>■ 보건·복지업 증가세 지속… 제조업·건설업·농림어업은 감소</b></p>
<p>&nbsp;산업별로는 보건업 및 사회복지 서비스업(17만 3천 명, 5.3%), 예술·스포츠 및 여가 관련 서비스업(4만 8천 명, 8.4%), 공공행정·국방 및 사회보장 행정(4만 6천 명, 3.5%) 등에서 취업자 수가 꾸준히 증가했다.&nbsp; 반면 농림어업(-8만 명, -5.4%), 제조업(-6만 8천 명, -1.6%), 건설업(-5만 7천 명, -3.0%) 등 주요 양질의 일자리 부문에서는 취업자 감소세가 이어졌다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p><b>■ 청년층 고용 지표 약세… 60세 이상·30대 주도</b></p>
<p>연령대별로는 고용 격차가 뚜렷하게 나타났다. 60세 이상 취업자가 23만 1천 명 증가하고 30대(6만 5천 명), 50대(3만 3천 명)가 뒤를 이은 반면, 20대 취업자는 20만 4천 명, 40대는 3만 1천 명 각각 감소했다.&nbsp; 청년층(15~29세) 고용 지표는 다소 악화되었다. 청년층 취업자 수는 전년 동월 대비 19만 1천 명 감소하였으며, 고용률은 44.2%로 1.6%p 하락했다. 실업률 역시 6.8%로 전년 동월 대비 1.3%p 상승한 것으로 조사됐다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p><b>■&nbsp;자영업자 늘고 임시·일용직 줄어… 주당 평균 취업시간 감소</b></p>
<p>종사상 지위별로는 상용근로자가 7만 1천 명(0.4%) 증가한 반면, 임시근로자(-4만 명, -0.8%)와 일용근로자(-4만 1천 명, -4.8%)는 감소세를 보였다. 자영업 부문에서는 고용원 있는 자영업자와 고용원 없는 자영업자가 각각 7만 5천 명씩 증가했으나, 무급가족종사자는 3만 2천 명 감소했다.&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;한편, 취업시간대별로는 36시간 미만 취업자가 1,474만 2천 명으로 크게 늘어난 반면, 36시간 이상 취업자는 1,388만 8천 명으로 줄어들었다. 이에 따라 전체 주당 평균 취업시간은 35.2시간으로 전년 동월 대비 3시간 감소했다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>비경제활동인구는 1,610만 3천 명으로 전년 대비 9만 9천 명(0.6%) 증가했으며, 이 중 ‘쉬었음’ 인구는 251만 8천 명으로 20대와 50대를 중심으로 전년 대비 6만 2천 명 감소한 것으로 나타났다.&nbsp;</p>
<p>&nbsp;</p>
<p><b>[데이터프레스의 눈]</b></p>
<p>제조업과 건설업 등 주요 산업의 고용 침체 속에서 보건·복지업 중심의 고용 증가와 60세 이상 장년층 주도의 취업자 수 확대는 고용 시장의 체질 변화와 인구 구조적 한계를 동시에 드러내고 있습니다. 특히 청년층 고용률 감소와 청년 실업률 상승, 주당 평균 취업시간의 급감은 양질의 청년 일자리 부족과 단기·파트타임 중심의 고용 구조 고착화라는 과제를 던져주고 있어, 지속 가능한 성장과 미래 세대 고용 안정을 위한 정책적 대책 마련이 시급해 보입니다.</p>
<p>&nbsp;</p>
<p>공식블로그 :&nbsp;<a href="https://blog.naver.com/datapress21/224376099459" target="_blank">취업자 수 증가의 착시? 왜 청년들은 취업 시.. : 네이버블로그</a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>datapress21@gmail.com 김선희</author>
<atom:updated>2026-08-12T11:54:38+09:00</atom:updated>
<atom:published>2026-08-12T11:47:27+09:00</atom:published>
</item>
<item>
<guid>2575</guid>
<title><![CDATA[1,000억 달러의 착시와 역대 최대 흑자 뒤에 숨은 '자본의 경고']]></title>
<link>https://datapress.kr/news/view.php?no=2575</link>
<mobile>https://datapress.kr/m/view.php?no=2575</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2575" rel="related"/>
<description><![CDATA[
   

&amp;#038;nbsp;
&amp;#038;nbsp;국가 경제의 건강진단서라 불리는 경상수지 표면에 사상 최대의 경사스러운 숫자가 찍혔습니다. 한국은행이 발표한 &amp;#039;2026년 6월 국제수지(잠정)&amp;#039;에 따르면, 올해 6월 경상수지는 497.3억 달러 흑자를 기록하며 2개월 연속 최대 흑자 기록을 경신했습니다.&amp;#038;nbsp; 그러나 데이터 프레스의 시선으로 겉면의 화려한 흑자 수치 뒤편을 들여다보면, 한국 경제가 직면한 지극히 쏠린 구조적 현실과 거센 외풍의 흔적이 뚜렷이 드러납니다.
&amp;#038;nbsp;

   ■&amp;#038;nbsp;Data Insight 1: &amp;#039;사상 최초 1,000억 달러&amp;#039; 수출을 견인한 반도체 쏠림

&amp;#038;nbsp;국제수지 상품수출이 사상 최초로 1,000억 달러를 돌파(1,123.7억 달러, 전년 동월 대비 +84.5%)하며 엄청난 수치를 보였습니다. 하지만 통관기준 품목별 데이터는 특정 산업으로의 극심한 쏠림 현상을 고스란히 보여줍니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;- 반도체의 압도적 폭발: 반도체 수출액은 449.5억 달러로, 전년 동월 대비 무려 196.9% 증가했습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;-정보통신기기의 호조: 정보통신기기 역시 166.0% 증가하며 79.6억 달러를 기록했습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;-주력 제조업의 보침: 반면 승용차(63.6억 달러, +6.1%), 화학공품(78.9억 달러, +18.6%) 등 전통적인 주력 품목들의 성장세는 정보기술(IT) 분야의 폭발적 수치에 비하면 한참 미치지 못합니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
결국 &amp;#039;수출 1,000억 달러 돌파&amp;#039;라는 대기록의 실상은 글로벌 AI 및 반도체 슈퍼 사이클에 의존한 착시 효과일 수 있으며, 반도체 업황의 기복에 따라 국가 경제 전체가 흔들릴 수 있는 &amp;#039;외외성 리스크&amp;#039;가 가중되었음을 뜻합니다.
&amp;#038;nbsp;

   ■&amp;#038;nbsp;Data Insight 2: 외국인은 떠나고, 개미는 해외로… 증권투자 부채의 대폭락

&amp;#038;nbsp;가장 눈여겨봐야 할 데이터의 경고음은 경상수지가 아닌 금융계정(순자산 467.1억 달러 증가)의 증권투자 항목에서 울리고 있습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;- 외국인 국내 주식 대규모 순매도: 외국인의 국내 증권투자(부채)는 주식을 중심으로 263.2억 달러나 감소했습니다. 특히 주식 시장에서만 316.1억 달러 순매도가 발생하며 전월에 이어 역대 최대 탈출 기록을 찍었습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;- 서학개미의 해외 주식 열풍 지속: 반면 내국인의 해외 증권투자(자산)는 주식을 중심으로 35.6억 달러 증가했으며, 주식 매수세만 75.3억 달러에 달했습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;실제 산업 영역(상품수지)에서는 막대한 달러를 벌어들이고 있지만, 자본 시장에서는 외국인 투자자들의 한국 증시 이탈(셀 코리아)과 국내 투자자들의 해외 자산 이탈이 동시 다발적으로 일어나고 있는 셈입니다.
&amp;#038;nbsp;
■ Data Insight 3: 여행수지 흑자 반전, 외국인이 돌아왔다
&amp;#038;nbsp;서비스수지는 12.9억 달러 적자를 기록했으나, 내면의 변화는 긍정적입니다. 만성 적자 구조였던 여행수지가 4.4억 달러 흑자로 돌아섰습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;
&amp;#038;nbsp;- 외국인 관광객 유입 확대: 한국을 찾은 외국인 여행객이 대폭 늘어나면서 여행 수입(收入)이 역대 최대치를 기록, 여행수지 역시 역대 2위의 흑자 폭을 나타냈습니다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;- K-컬처 및 관광 인프라 확대로 인한 서비스 산업 경쟁력 강화가 상품 수지에만 의존하던 한국 경제의 체질을 일부 개선하고 있음을 데이터로 확인할 수 있습니다.

   

데이터프레스 팩트 체크 요약

   
      
         
            
               구분
            
            
               2026년 6월 실적
            
            
               주요 핵심 요인 분석
            
         
      
      
         
            
               경상수지
            
            
               
                  497.3억 달러 흑자
               
               
                  
               
            
            
               
                  2개월 연속 역대 최대 흑자 경신
               
            
         
         
            
               상품수출
            
            
               
                  1,123.7억 달러 (+84.5%)
               
            
            
               
                  반도체(+196.9%) 중심의 강력한 독주
               
            
         
         
            
               외국인 국내주식
            
            
               
                  -316.1억 달러
               
               
                  
               
            
            
               
                  외국인의 국내 주식 순매도 역대 최대 폭 기록
               
            
         
         
            
               여행수지
            
            
               
                  4.4억 달러 흑자
               
               
                  
               
            
            
               
                  외국인 방한 관광객 급증에 따른 여행수입 역대 최대
               
            
         
      
   


   [데이터프레스의 눈]


   2026년 6월의 국제수지는 "실물 경제의 사상 최대 호황과 자본 시장의 이상 징후가 공존하는 외나무다리"로 요약됩니다. 단기적인 반도체 착시에 안주하기보다, 자본 유출 방지와 산업 다변화를 위한 데이터 기반의 정교한 정책 수립이 시급한 시점입니다.

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260811112020_ppukfpvo.png" alt="국제수지.png" style="width: 875px; height: 1246px;" />
</p>
<p>&nbsp;</p>
<p>&nbsp;국가 경제의 건강진단서라 불리는 경상수지 표면에 사상 최대의 경사스러운 숫자가 찍혔습니다. 한국은행이 발표한 '2026년 6월 국제수지(잠정)'에 따르면, 올해 6월 경상수지는 497.3억 달러 흑자를 기록하며 2개월 연속 최대 흑자 기록을 경신했습니다.&nbsp; 그러나 데이터 프레스의 시선으로 겉면의 화려한 흑자 수치 뒤편을 들여다보면, 한국 경제가 직면한 지극히 쏠린 구조적 현실과 거센 외풍의 흔적이 뚜렷이 드러납니다.</p>
<p>&nbsp;</p>
<p>
   <b>■&nbsp;Data Insight 1: '사상 최초 1,000억 달러' 수출을 견인한 반도체 쏠림</b>
</p>
<p>&nbsp;국제수지 상품수출이 사상 최초로 1,000억 달러를 돌파(1,123.7억 달러, 전년 동월 대비 +84.5%)하며 엄청난 수치를 보였습니다. 하지만 통관기준 품목별 데이터는 특정 산업으로의 극심한 쏠림 현상을 고스란히 보여줍니다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;- 반도체의 압도적 폭발: 반도체 수출액은 449.5억 달러로, 전년 동월 대비 무려 196.9% 증가했습니다.&nbsp;&nbsp;</p>
<p>&nbsp;-정보통신기기의 호조: 정보통신기기 역시 166.0% 증가하며 79.6억 달러를 기록했습니다.&nbsp;&nbsp;</p>
<p>&nbsp;-주력 제조업의 보침: 반면 승용차(63.6억 달러, +6.1%), 화학공품(78.9억 달러, +18.6%) 등 전통적인 주력 품목들의 성장세는 정보기술(IT) 분야의 폭발적 수치에 비하면 한참 미치지 못합니다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>결국 '수출 1,000억 달러 돌파'라는 대기록의 실상은 글로벌 AI 및 반도체 슈퍼 사이클에 의존한 착시 효과일 수 있으며, 반도체 업황의 기복에 따라 국가 경제 전체가 흔들릴 수 있는 '외외성 리스크'가 가중되었음을 뜻합니다.</p>
<p>&nbsp;</p>
<p>
   <b>■&nbsp;Data Insight 2: 외국인은 떠나고, 개미는 해외로… 증권투자 부채의 대폭락</b>
</p>
<p>&nbsp;가장 눈여겨봐야 할 데이터의 경고음은 경상수지가 아닌 금융계정(순자산 467.1억 달러 증가)의 증권투자 항목에서 울리고 있습니다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;- 외국인 국내 주식 대규모 순매도: 외국인의 국내 증권투자(부채)는 주식을 중심으로 263.2억 달러나 감소했습니다. 특히 주식 시장에서만 316.1억 달러 순매도가 발생하며 전월에 이어 역대 최대 탈출 기록을 찍었습니다.&nbsp;&nbsp;</p>
<p>&nbsp;- 서학개미의 해외 주식 열풍 지속: 반면 내국인의 해외 증권투자(자산)는 주식을 중심으로 35.6억 달러 증가했으며, 주식 매수세만 75.3억 달러에 달했습니다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;실제 산업 영역(상품수지)에서는 막대한 달러를 벌어들이고 있지만, 자본 시장에서는 외국인 투자자들의 한국 증시 이탈(셀 코리아)과 국내 투자자들의 해외 자산 이탈이 동시 다발적으로 일어나고 있는 셈입니다.</p>
<p>&nbsp;</p>
<p>■ Data Insight 3: 여행수지 흑자 반전, 외국인이 돌아왔다</p>
<p>&nbsp;서비스수지는 12.9억 달러 적자를 기록했으나, 내면의 변화는 긍정적입니다. 만성 적자 구조였던 여행수지가 4.4억 달러 흑자로 돌아섰습니다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;- 외국인 관광객 유입 확대: 한국을 찾은 외국인 여행객이 대폭 늘어나면서 여행 수입(收入)이 역대 최대치를 기록, 여행수지 역시 역대 2위의 흑자 폭을 나타냈습니다.&nbsp;&nbsp;</p>
<p>&nbsp;- K-컬처 및 관광 인프라 확대로 인한 서비스 산업 경쟁력 강화가 상품 수지에만 의존하던 한국 경제의 체질을 일부 개선하고 있음을 데이터로 확인할 수 있습니다.</p>
<p>
   <br />
</p>
<h3 data-path-to-node="19" style="font-family: &quot;Google Sans&quot;, sans-serif !important; line-height: 1.15 !important; margin-top: 0px !important;">데이터프레스 팩트 체크 요약</h3>
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               <strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">구분</strong>
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            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">2026년 6월 실적</strong>
            </td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">주요 핵심 요인 분석</strong>
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         </tr>
      </thead>
      <tbody style="line-height: 1.15 !important; margin-top: 0px !important;">
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <span data-path-to-node="20,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="20,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">경상수지</b></span>
            </td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,1,1,0" style="line-height: 1.15 !important;">
                  <b data-path-to-node="20,1,1,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">497.3억 달러 흑자</b>
               </p>
               <p data-path-to-node="20,1,1,1" id="p-rc_cfa34b351be7dd15-29" style="line-height: 1.15 !important;">
                  <span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
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            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,1,2,0" id="p-rc_cfa34b351be7dd15-30" style="line-height: 1.15 !important;">
                  <span data-path-to-node="20,1,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">2개월 연속 역대 최대 흑자 경신</span><span data-path-to-node="20,1,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
               </p>
            </td>
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         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <span data-path-to-node="20,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="20,2,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">상품수출</b></span>
            </td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,2,1,0" id="p-rc_cfa34b351be7dd15-31" style="line-height: 1.15 !important;">
                  <span data-path-to-node="20,2,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="20,2,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">1,123.7억 달러</b> (+84.5%)</span><span data-path-to-node="20,2,1,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
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            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,2,2,0" id="p-rc_cfa34b351be7dd15-32" style="line-height: 1.15 !important;">
                  <span data-path-to-node="20,2,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">반도체(+196.9%) 중심의 강력한 독주</span><span data-path-to-node="20,2,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
               </p>
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         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <span data-path-to-node="20,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="20,3,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">외국인 국내주식</b></span>
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            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,3,1,0" style="line-height: 1.15 !important;">
                  <b data-path-to-node="20,3,1,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-316.1억 달러</b>
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               <p data-path-to-node="20,3,1,1" id="p-rc_cfa34b351be7dd15-33" style="line-height: 1.15 !important;">
                  <span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
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            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
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                  <span data-path-to-node="20,3,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">외국인의 국내 주식 순매도 역대 최대 폭 기록</span><span data-path-to-node="20,3,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
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               <span data-path-to-node="20,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="20,4,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">여행수지</b></span>
            </td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,4,1,0" style="line-height: 1.15 !important;">
                  <b data-path-to-node="20,4,1,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">4.4억 달러 흑자</b>
               </p>
               <p data-path-to-node="20,4,1,1" id="p-rc_cfa34b351be7dd15-35" style="line-height: 1.15 !important;">
                  <span style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline>
               </p>
            </td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.15 !important; margin-top: 0px !important;">
               <p data-path-to-node="20,4,2,0" id="p-rc_cfa34b351be7dd15-36" style="line-height: 1.15 !important;">
                  <span data-path-to-node="20,4,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">외국인 방한 관광객 급증에 따른 여행수입 역대 최대</span><span data-path-to-node="20,4,2,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><source-footnote _nghost-ng-c4269475352="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4269475352="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"><!----></sup></source-footnote><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1448221565="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1448221565="" _nghost-ng-c3751034175="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"></source-inline-chip></sources-carousel-inline>
               </p>
            </td>
         </tr>
      </tbody>
   </table>
</div>
<p>
   <b>[데이터프레스의 눈]</b>
</p>
<p>
   <b>2026년 6월의 국제수지는 "실물 경제의 사상 최대 호황과 자본 시장의 이상 징후가 공존하는 외나무다리"로 요약됩니다. 단기적인 반도체 착시에 안주하기보다, 자본 유출 방지와 산업 다변화를 위한 데이터 기반의 정교한 정책 수립이 시급한 시점입니다</b>.
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>datapress21@gmail.com 김선희</author>
<atom:updated>2026-08-11T11:30:49+09:00</atom:updated>
<atom:published>2026-08-11T11:30:49+09:00</atom:published>
</item>
<item>
<guid>2574</guid>
<title><![CDATA["53세 퇴직, 74세까지 일한다"…고령층 1,000만 시대의 그늘과 생존 법칙]]></title>
<link>https://datapress.kr/news/view.php?no=2574</link>
<mobile>https://datapress.kr/m/view.php?no=2574</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2574" rel="related"/>
<description><![CDATA[국가데이터처가 5일 발표한 &amp;#039;2026년 5월 경제활동인구조사 고령층 부가조사 결과&amp;#039;에 따르면, 대한민국 55~79세 고령층 인구는 1,701만 7천 명으로 전체 15세 이상 인구의 37.0%를 차지했다. 고령층 취업자 수가 1,012만 5천 명을 기록하며 &amp;#039;고령 취업자 1,000만 명 시대&amp;#039;가 본격화되었으나, 데이터 속에는 주된 일자리에서의 조기 퇴직과 노후 소득 불안이라는 거친 현실이 그대로 담겨 있다.

   


   ■ 17년 일한 주된 직장, 53세에 그만둔다

고령층이 생애 가장 오래 근무한 일자리에서의 평균 근속기간은 17년 7.1개월로 집계된다. 하지만 이 오랜 일자리를 계속 지키고 있는 비율은 30.5%에 불과하며, 나머지 69.5%는 이미 주된 일자리를 그만둔 상태다.&amp;#038;nbsp;&amp;#038;nbsp;

   

그만둘 당시의 평균 연령은 53.0세로 조사되었다. 법정 정년(60세)이 무색하게, 50대 초반에 일터에서 떠나야 하는 구조적 조기 퇴직이 고착화되어 있다.

   


   [가장 오래 근무한 일자리를 그만둔 이유]


   1. 사업부진·조업중단·휴폐업 : 24.9%


   2. 건강 악화 : 22.1%


   3. 가족 돌봄 : 15.2%


   4. 정년퇴직 : 13.2%


   

주된 일자리를 그만둔 이유 중 정년퇴직은 13.2%에 불과했으며, 사업부진·휴폐업(24.9%)이나 건강 악화(22.1%) 등 비자발적 사유가 과반을 차지했다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 평균 연금 88만 원… "73.6세까지 일하겠다"

조기 퇴직 후 재취업 시장으로 내몰리는 핵심 원인은 턱없이 부족한 노후 소득. 지난 1년간 연금을 받아본 고령층 비중은 52.7%(896만 9천 명)이며, 월평균 수령액은 88만 원에 그쳤다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   △&amp;#038;nbsp;성별 연금 격차: 남자 월평균 113만 원, 여자 월평균 61만 원&amp;#038;nbsp;&amp;#038;nbsp;


   △ 구간별 비중: 25만~50만 원 미만이 37.7%로 가장 높고, 50만~100만 원 미만이 33.2%를 차지&amp;#038;nbsp;&amp;#038;nbsp;


   

1인 가구 최저생계비에도 미치지 못하는 연금 수령액으로 인해 고령층의 장래 근로 희망 의사는 69.2%(1,178만 2천 명)에 달했다. 이들이 일을 계속하고 싶어 하는 이유 1위는 단연 &amp;#039;생활비에 보탬&amp;#039;(53.4%)이었습니다. 장래에 근로를 희망하는 연령은 평균 73.6세까지 상승했다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   ■ 일자리 양극화: 보건·복지와 단순노무 집중

고령층이 재취업 시장에서 얻는 일자리의 질은 생애 주된 일자리와 격차가 존재한다. 고령층 취업자의 산업 및 직업 분포를 분석한 결과, 특정 분야 쏠림 현상이 뚜렷하게 나타났다.

   

구분주요 비중 분야15세 이상 전체 취업자 대비 특성산업별&amp;#038;nbsp; 보건·사회복지(14.8%), 제조업(12.0%), 도소매업(10.0%)농림어업(+5.1%p), 보건·사회복지(+2.9%p) 비중 높음직업별&amp;#038;nbsp; 단순노무(22.3%), 서비스(15.3%), 장치·기계조작(12.1%)단순노무(+8.5%p), 전문가/사무직 비중은 현저히 낮음

   

고령층 취업자 5명 중 1명 이상이 단순노무 종사자(22.3%)로 일하고 있으며, 이는 주된 일자리에서의 경력이 재취업 시장에서 제대로 연결되지 못하고 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

   


   [데이터프레스의 눈: 노동 시장 재편과 주된 일자리 연장의 필요성]

이번 데이터는 대한민국 고령층이 &amp;#039;은퇴 후 여가&amp;#039;가 아닌 &amp;#039;생계형 주선&amp;#039;에 들어서 있음을 증명합니다. 53세 퇴직 후 73세까지 약 20년간 이어지는 &amp;#039;다차적 노동 기간&amp;#039;을 안정화하기 위해서는 다음과 같은 정책적·사회적 전환이 시급하다.

   


   1. 주된 일자리 근속 연장: 50대 초반 비자발적 퇴직을 줄이기 위한 임금체계 개편 및 주된 일자리 지속 지원 정책


   2. 맞춤형 직업훈련 강화: 현재 12.8%에 불과한 직업능력개발훈련 참여율을 끌어올려 단순노무 중심의 일자리 재취업 구조 개선&amp;#038;nbsp;&amp;#038;nbsp;


   3. 유연한 근로 형태 제공: 장래 근로 희망자의 일자리 선택 기준 1위가 &amp;#039;일의 양과 시간대(30.8%)&amp;#039;인 점을 고려하여, 양질의 시간제 및 단시간 일자리 창출 확대

&amp;#038;nbsp;
데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224369782433
]]></description>
<content:encoded><![CDATA[<p>국가데이터처가 5일 발표한 '2026년 5월 경제활동인구조사 고령층 부가조사 결과'에 따르면, 대한민국 55~79세 고령층 인구는 1,701만 7천 명으로 전체 15세 이상 인구의 37.0%를 차지했다. 고령층 취업자 수가 1,012만 5천 명을 기록하며 '고령 취업자 1,000만 명 시대'가 본격화되었으나, 데이터 속에는 주된 일자리에서의 조기 퇴직과 노후 소득 불안이라는 거친 현실이 그대로 담겨 있다.</p>
<p style="text-align: center;">
   <img src="https://www.datapress.kr/data/tmp/2608/20260806104224_efsdxsok.jpg" alt="고령층경제활동.JPG" style="width: 875px; height: 489px;" />
</p>
<p>
   <b>■ 17년 일한 주된 직장, 53세에 그만둔다</b>
</p>
<p>고령층이 생애 가장 오래 근무한 일자리에서의 평균 근속기간은 17년 7.1개월로 집계된다. 하지만 이 오랜 일자리를 계속 지키고 있는 비율은 30.5%에 불과하며, 나머지 69.5%는 이미 주된 일자리를 그만둔 상태다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>그만둘 당시의 평균 연령은 53.0세로 조사되었다. 법정 정년(60세)이 무색하게, 50대 초반에 일터에서 떠나야 하는 구조적 조기 퇴직이 고착화되어 있다.</p>
<p>
   <br />
</p>
<p>
   <b>[가장 오래 근무한 일자리를 그만둔 이유]</b>
</p>
<p>
   <b>1. 사업부진·조업중단·휴폐업 : 24.9%</b>
</p>
<p>
   <b>2. 건강 악화 : 22.1%</b>
</p>
<p>
   <b>3. 가족 돌봄 : 15.2%</b>
</p>
<p>
   <b>4. 정년퇴직 : 13.2%</b>
</p>
<p>
   <br />
</p>
<p>주된 일자리를 그만둔 이유 중 정년퇴직은 13.2%에 불과했으며, 사업부진·휴폐업(24.9%)이나 건강 악화(22.1%) 등 비자발적 사유가 과반을 차지했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 평균 연금 88만 원… "73.6세까지 일하겠다"</b>
</p>
<p>조기 퇴직 후 재취업 시장으로 내몰리는 핵심 원인은 턱없이 부족한 노후 소득. 지난 1년간 연금을 받아본 고령층 비중은 52.7%(896만 9천 명)이며, 월평균 수령액은 88만 원에 그쳤다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>△&nbsp;성별 연금 격차</b>: 남자 월평균 113만 원, 여자 월평균 61만 원&nbsp;&nbsp;
</p>
<p>
   <b>△ 구간별 비중</b>: 25만~50만 원 미만이 37.7%로 가장 높고, 50만~100만 원 미만이 33.2%를 차지&nbsp;&nbsp;
</p>
<p>
   <br />
</p>
<p>1인 가구 최저생계비에도 미치지 못하는 연금 수령액으로 인해 고령층의 장래 근로 희망 의사는 69.2%(1,178만 2천 명)에 달했다. 이들이 일을 계속하고 싶어 하는 이유 1위는 단연 '생활비에 보탬'(53.4%)이었습니다. 장래에 근로를 희망하는 연령은 평균 73.6세까지 상승했다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>■ 일자리 양극화: 보건·복지와 단순노무 집중</b>
</p>
<p>고령층이 재취업 시장에서 얻는 일자리의 질은 생애 주된 일자리와 격차가 존재한다. 고령층 취업자의 산업 및 직업 분포를 분석한 결과, 특정 분야 쏠림 현상이 뚜렷하게 나타났다.</p>
<p>
   <br />
</p>
<p>구분주요 비중 분야15세 이상 전체 취업자 대비 특성산업별&nbsp; 보건·사회복지(14.8%), 제조업(12.0%), 도소매업(10.0%)농림어업(+5.1%p), 보건·사회복지(+2.9%p) 비중 높음직업별&nbsp; 단순노무(22.3%), 서비스(15.3%), 장치·기계조작(12.1%)단순노무(+8.5%p), 전문가/사무직 비중은 현저히 낮음</p>
<p>
   <br />
</p>
<p>고령층 취업자 5명 중 1명 이상이 단순노무 종사자(22.3%)로 일하고 있으며, 이는 주된 일자리에서의 경력이 재취업 시장에서 제대로 연결되지 못하고 있음을 보여준다.&nbsp;&nbsp;</p>
<p>
   <br />
</p>
<p>
   <b>[데이터프레스의 눈: 노동 시장 재편과 주된 일자리 연장의 필요성]</b>
</p>
<p>이번 데이터는 대한민국 고령층이 '은퇴 후 여가'가 아닌 '생계형 주선'에 들어서 있음을 증명합니다. 53세 퇴직 후 73세까지 약 20년간 이어지는 '다차적 노동 기간'을 안정화하기 위해서는 다음과 같은 정책적·사회적 전환이 시급하다.</p>
<p>
   <br />
</p>
<p>
   <b>1. 주된 일자리 근속 연장</b>: 50대 초반 비자발적 퇴직을 줄이기 위한 임금체계 개편 및 주된 일자리 지속 지원 정책
</p>
<p>
   <b>2. 맞춤형 직업훈련 강화</b>: 현재 12.8%에 불과한 직업능력개발훈련 참여율을 끌어올려 단순노무 중심의 일자리 재취업 구조 개선&nbsp;&nbsp;
</p>
<p>
   <b>3. 유연한 근로 형태 제공</b>: 장래 근로 희망자의 일자리 선택 기준 1위가 '일의 양과 시간대(30.8%)'인 점을 고려하여, 양질의 시간제 및 단시간 일자리 창출 확대
</p>
<p>&nbsp;</p>
<p><span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224369782433" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224369782433</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-06T11:13:55+09:00</atom:updated>
<atom:published>2026-08-06T10:45:54+09:00</atom:published>
</item>
<item>
<guid>2573</guid>
<title><![CDATA[반도체·자동차 훈풍에 6월 전산업 생산 2.3%↑… 설비투자 21.7% 껑충]]></title>
<link>https://datapress.kr/news/view.php?no=2573</link>
<mobile>https://datapress.kr/m/view.php?no=2573</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2573" rel="related"/>
<description><![CDATA[
- 국가데이터처 &amp;#039;2026년 6월 산업활동동향&amp;#039; 발표
- 광공업 생산 6.4%·소매판매 2.7% 증가하며 주요 지표 반등
- 동행·선행지수 순환변동치 동반 상승… 경기 개선 시그널 확연

대한민국 산업 현장에 훈풍이 불고 있다. 지난 6월 광공업 생산과 소비, 투자가 일제히 상승하며 경기 회복 흐름을 선명히 나타냈다. 자동차와 반도체의 강력한 수출 견인과 더불어 설비투자가 전년 대비 폭발적으로 늘면서 전산업 생산 증가를 주도했다.&amp;#038;nbsp;&amp;#038;nbsp;

31일 국가데이터처가 발표한 &amp;#039;2026년 6월 산업활동동향&amp;#039;에 따르면, 전산업 생산지수는 계절조정 기준 전월 대비 2.3% 증가했다. 전년 동월 대비로는 4.2% 상승하며 뚜렷한 실적 개선을 증명했다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 자동차·반도체 이쌍포 활약… 광공업 생산 전월비 6.4% 급증
생산 부문의 반등을 이끈 것은 단연 광공업이었다. 광공업 생산은 전월 대비 6.4%, 전년 동월 대비 5.8% 증가했다.&amp;#038;nbsp;&amp;#038;nbsp;

특히 제조업 분야에서 자동차(전월비 15.4%↑)와 반도체(전월비 4.5%↑)의 활약이 두드러졌다. 하이브리드 및 RV 승용차 등 완성차 생산이 크게 늘었고, D램과 플래시메모리 등 메모리반도체의 견조한 수요가 실적을 뒷받침했다. 제조업 평균가동률 역시 74.9%로 전월 대비 4.0%p 상승하며 공장 가동에 한층 속도가 붙은 모습을 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

서비스업 생산도 금융·보험(2.8%↑), 운수·창고(2.0%↑) 등의 호조에 힘입어 전월 대비 0.7%, 전년 동월 대비 5.3% 증가하며 성장세를 이어갔다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 내구재 소비 늘며 소매판매 2.7%↑… 설비투자는 전년비 21.7% 폭증
소비 동향을 나타내는 소매판매액지수도 전월 대비 2.7% 늘어났다. 의복 등 준내구재(-1.7%)는 다소 주춤했으나, 승용차와 통신기기·컴퓨터 등 내구재 판매가 12.6% 폭증하고 음식료품 등 비내구재(0.2%)가 소폭 늘며 전체 소비지표를 끌어올렸다.&amp;#038;nbsp;&amp;#038;nbsp;

투동향 부문에서는 대규모 설비투자의 확대가 눈에 띈다. 정밀기기 등 기계류(6.9%↑)와 자동차 중심의 운송장비(3.4%↑) 투자가 모두 증가해 설비투자는 전월 대비 5.8% 증가했다. 전년 동월 대비로는 무려 21.7% 증가했는데, 반도체 제조용 기계(22.2%↑) 및 운송장비(20.5%↑)의 대대적인 투자가 이 같은 수치를 견인했다.&amp;#038;nbsp;&amp;#038;nbsp;

건설기성(불변) 역시 건축 공사 실적이 늘면서 전월 대비 4.1% 증가했으나, 전년 동월 대비로는 4.0% 감소하며 과제를 남겼다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 동행·선행지수 동반 상승… 경기 국면 전환 기대감
현재의 경기 상황을 보여주는 동행종합지수 순환변동치는 수입액과 건설기성액 증가 등에 힘입어 전월 대비 0.5p 상승한 100.3을 기록했다. 향후 경기 국면을 예측하는 선행종합지수 순환변동치 역시 코스피 및 수출입물가비율 상승 영향으로 전월 대비 0.9p 오른 105.7로 집계됐다.&amp;#038;nbsp;&amp;#038;nbsp;

국가데이터처 관계자는 "반도체와 자동차 등 주력 산업의 생산 및 수출 호조가 설비투자로 이어지며 산업활동 주요 지표가 대폭 개선되었다"며 "경기 종합지수가 동반 상승세를 보인 점은 향후 경기 회복 흐름에 긍정적인 신호"라고 분석했다.&amp;#038;nbsp;


   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224369745060

]]></description>
<content:encoded><![CDATA[<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260806101425_czrzuvob.jpg" alt="6월 산업활동동향.JPG" style="width: 875px; height: 485px;" /></p>
<p>- 국가데이터처 '2026년 6월 산업활동동향' 발표</p>
<p>- 광공업 생산 6.4%·소매판매 2.7% 증가하며 주요 지표 반등</p>
<p>- 동행·선행지수 순환변동치 동반 상승… 경기 개선 시그널 확연</p>
<p><br /></p>
<p>대한민국 산업 현장에 훈풍이 불고 있다. 지난 6월 광공업 생산과 소비, 투자가 일제히 상승하며 경기 회복 흐름을 선명히 나타냈다. 자동차와 반도체의 강력한 수출 견인과 더불어 설비투자가 전년 대비 폭발적으로 늘면서 전산업 생산 증가를 주도했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>31일 국가데이터처가 발표한 '2026년 6월 산업활동동향'에 따르면, 전산업 생산지수는 계절조정 기준 전월 대비 2.3% 증가했다. 전년 동월 대비로는 4.2% 상승하며 뚜렷한 실적 개선을 증명했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 자동차·반도체 이쌍포 활약… 광공업 생산 전월비 6.4% 급증</b></p>
<p>생산 부문의 반등을 이끈 것은 단연 광공업이었다. 광공업 생산은 전월 대비 6.4%, 전년 동월 대비 5.8% 증가했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>특히 제조업 분야에서 자동차(전월비 15.4%↑)와 반도체(전월비 4.5%↑)의 활약이 두드러졌다. 하이브리드 및 RV 승용차 등 완성차 생산이 크게 늘었고, D램과 플래시메모리 등 메모리반도체의 견조한 수요가 실적을 뒷받침했다. 제조업 평균가동률 역시 74.9%로 전월 대비 4.0%p 상승하며 공장 가동에 한층 속도가 붙은 모습을 보였다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>서비스업 생산도 금융·보험(2.8%↑), 운수·창고(2.0%↑) 등의 호조에 힘입어 전월 대비 0.7%, 전년 동월 대비 5.3% 증가하며 성장세를 이어갔다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ </b><b>내구재 소비 늘며 소매판매 2.7%↑… 설비투자는 전년비 21.7% 폭증</b></p>
<p>소비 동향을 나타내는 소매판매액지수도 전월 대비 2.7% 늘어났다. 의복 등 준내구재(-1.7%)는 다소 주춤했으나, 승용차와 통신기기·컴퓨터 등 내구재 판매가 12.6% 폭증하고 음식료품 등 비내구재(0.2%)가 소폭 늘며 전체 소비지표를 끌어올렸다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>투동향 부문에서는 대규모 설비투자의 확대가 눈에 띈다. 정밀기기 등 기계류(6.9%↑)와 자동차 중심의 운송장비(3.4%↑) 투자가 모두 증가해 설비투자는 전월 대비 5.8% 증가했다. 전년 동월 대비로는 무려 21.7% 증가했는데, 반도체 제조용 기계(22.2%↑) 및 운송장비(20.5%↑)의 대대적인 투자가 이 같은 수치를 견인했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>건설기성(불변) 역시 건축 공사 실적이 늘면서 전월 대비 4.1% 증가했으나, 전년 동월 대비로는 4.0% 감소하며 과제를 남겼다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ </b><b>동행·선행지수 동반 상승… 경기 국면 전환 기대감</b></p>
<p>현재의 경기 상황을 보여주는 동행종합지수 순환변동치는 수입액과 건설기성액 증가 등에 힘입어 전월 대비 0.5p 상승한 100.3을 기록했다. 향후 경기 국면을 예측하는 선행종합지수 순환변동치 역시 코스피 및 수출입물가비율 상승 영향으로 전월 대비 0.9p 오른 105.7로 집계됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>국가데이터처 관계자는 "반도체와 자동차 등 주력 산업의 생산 및 수출 호조가 설비투자로 이어지며 산업활동 주요 지표가 대폭 개선되었다"며 "경기 종합지수가 동반 상승세를 보인 점은 향후 경기 회복 흐름에 긍정적인 신호"라고 분석했다.&nbsp;</p>
<p><br /></p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224369745060" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224369745060</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-06T10:23:40+09:00</atom:updated>
<atom:published>2026-08-06T10:16:21+09:00</atom:published>
</item>
<item>
<guid>2572</guid>
<title><![CDATA[7월 물가 2.8% 둔화의 착시… ‘밥상’ 잡히자 ‘유류·서비스’가 찔렀다]]></title>
<link>https://datapress.kr/news/view.php?no=2572</link>
<mobile>https://datapress.kr/m/view.php?no=2572</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2572" rel="related"/>
<description><![CDATA[2026년 7월 소비자물가 상승률이 3개월 만에 2%대로 내려앉으며 표면적인 물가 안정세를 보였다. 하지만 지표를 구성하는 세부 항목을 분해해보면, 신선식품 가격 하락에 따른 &amp;#039;지표 착시&amp;#039;일 뿐 석유류와 외식 외 개인서비스, 근원물가의 상승 압력은 여전히 강고한 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;


1. Headline vs Core: 헤드라인은 내렸지만, 근원물가는 오르는 ‘스틱키(Sticky) 물가’
국가데이터처가 4일 발표한 ‘2026년 7월 소비자물가동향’에 따르면 지난달 소비자물가지수는 119.77(2020=100)로 전년 동월 대비 2.8% 상승했다. 지난 5월(3.1%), 6월(3.2%) 연이어 3%대를 기록했던 헤드라인 물가가 0.4%p 하락하며 일단 2%대로 복귀한 것이다.&amp;#038;nbsp;&amp;#038;nbsp;

그러나 계절적 요인과 일시적 충격을 제외한 OECD 방식 근원물가(식료품 및 에너지 제외지수)는 전년 동월 대비 2.6% 상승해 오히려 전월(2.5%)보다 0.1%p 확대됐다.
체감 물가의 기초 체력을 나타내는 근원물가가 꺾이지 않고 있다는 점은, 물가 상방 압력이 기초 서비스와 비에너지 품목 전반으로 확산되었음을 시사한다.&amp;#038;nbsp;&amp;#038;nbsp;

2. 신선식품 ‘착시 효과’: 채소·과일 내렸지만, 수입·국산 육류·수산물 고공행진
이번 7월 물가 둔화의 일등 공신은 신선식품지수였다. 신선식품지수는 전년 동월 대비 2.3% 하락하며 전체 물가를 끌어내렸다.&amp;#038;nbsp;&amp;#038;nbsp;

- 신선과실(-4.7%) &amp;#038;amp; 신선채소(-4.3%): 사과(-2.2% MoM), 수박(-11.1% YoY), 배추(-18.4% YoY) 등 주요 과일과 채소류 가격이 안정세를 되찾았다.&amp;#038;nbsp;&amp;#038;nbsp;
- 축·수산물 훔쳐보기: 반면, 농축수산물 전체 상승률은 0.9%로 낮아졌지만 축산물(+4.4% YoY)과 수산물(+3.9% YoY)의 기저 상승 압력은 유효하다. 국산쇠고기(+5.7%), 쌀(+7.9%), 수입쇠고기(+8.7%), 고등어(+7.0%) 등 밥상 필수재 항목은 높은 가격대를 유지 중이다.&amp;#038;nbsp;&amp;#038;nbsp;

3. 에너지·서비스 ‘쌍끌이’ 압력: 경유 21.5%·휘발유 12.6% 급등
지수 안정에도 불구하고 소비자가 체감하는 물가 지옥의 원인은 석유류와 개인서비스다.
공업제품은 전년 동월 대비 3.7% 올랐는데, 이 중 석유류가 15.5% 급등하며 상승세를 견인했다. 세부적으로 경유(21.5%), 휘발유(12.6%), 등유(20.5%) 등 에너지가 유가 상승세를 타고 가계 기름값 부담을 가중시키고 있다.&amp;#038;nbsp;&amp;#038;nbsp;

서비스 물가(2.6% 상승) 내부에서는 개인서비스가 3.5% 상승하며 지수 기여도 1.19%p를 차지했다. 특히 외식 제외 개인서비스가 4.1% 상승했는데, 보험서비스료(13.4%), 해외단체여행비(20.0%), 자동차수리비(6.1%) 등 서비스 전반의 인건비 및 경비 인상이 누적되어 가계 부담을 가중시키는 양상이다.&amp;#038;nbsp;&amp;#038;nbsp;

4. 인사이트 및 전망: 통화정책 셈법 복잡해진다
7월 물가 지표는 한국은행과 정책 당국에 다소 복잡한 방정식을 던져준다. 헤드라인 상승률(2.8%)만 보면 물가 목표치(2.0%)에 근접하는 것으로 보이지만, 에너지를 제외한 근원물가 상승 지속세(2.6%)와 고유가·고환율에 따른 석유류 여파를 감안하면 금리 인하 등 기조 전환을 서두르기 어렵다.&amp;#038;nbsp;&amp;#038;nbsp;

데이터프레스 분석 결과, 신선식품의 계절적 유입이 끝나는 8~9월 추석 명절 시즌에 유가 상방 압력이 지속될 경우 물가는 다시 3%대로 재반등할 가능성이 높다. 단순 지수 하락에 안도하기보다 서비스 및 석유류 중심의 구조적 물가 고착화에 대비한 가계와 기업의 재무 리스크 관리가 필요한 시점이다.
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224369712704

]]></description>
<content:encoded><![CDATA[<p>2026년 7월 소비자물가 상승률이 3개월 만에 2%대로 내려앉으며 표면적인 물가 안정세를 보였다. 하지만 지표를 구성하는 세부 항목을 분해해보면, 신선식품 가격 하락에 따른 '지표 착시'일 뿐 석유류와 외식 외 개인서비스, 근원물가의 상승 압력은 여전히 강고한 것으로 나타났다.&nbsp;&nbsp;</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2608/20260806094332_buohbbsq.jpg" alt="7월 소비자물가동향.JPG" style="width: 875px; height: 480px;" /></p>
<p><b>1. Headline vs Core: 헤드라인은 내렸지만, 근원물가는 오르는 ‘스틱키(Sticky) 물가’</b></p>
<p>국가데이터처가 4일 발표한 ‘2026년 7월 소비자물가동향’에 따르면 지난달 소비자물가지수는 119.77(2020=100)로 전년 동월 대비 2.8% 상승했다. 지난 5월(3.1%), 6월(3.2%) 연이어 3%대를 기록했던 헤드라인 물가가 0.4%p 하락하며 일단 2%대로 복귀한 것이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>그러나 계절적 요인과 일시적 충격을 제외한 OECD 방식 근원물가(식료품 및 에너지 제외지수)는 전년 동월 대비 2.6% 상승해 오히려 전월(2.5%)보다 0.1%p 확대됐다.</p>
<p>체감 물가의 기초 체력을 나타내는 근원물가가 꺾이지 않고 있다는 점은, 물가 상방 압력이 기초 서비스와 비에너지 품목 전반으로 확산되었음을 시사한다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>2. 신선식품 ‘착시 효과’: 채소·과일 내렸지만, 수입·국산 육류·수산물 고공행진</b></p>
<p>이번 7월 물가 둔화의 일등 공신은 신선식품지수였다. 신선식품지수는 전년 동월 대비 2.3% 하락하며 전체 물가를 끌어내렸다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>- 신선과실(-4.7%) &amp; 신선채소(-4.3%): 사과(-2.2% MoM), 수박(-11.1% YoY), 배추(-18.4% YoY) 등 주요 과일과 채소류 가격이 안정세를 되찾았다.&nbsp;&nbsp;</p>
<p>- 축·수산물 훔쳐보기: 반면, 농축수산물 전체 상승률은 0.9%로 낮아졌지만 축산물(+4.4% YoY)과 수산물(+3.9% YoY)의 기저 상승 압력은 유효하다. 국산쇠고기(+5.7%), 쌀(+7.9%), 수입쇠고기(+8.7%), 고등어(+7.0%) 등 밥상 필수재 항목은 높은 가격대를 유지 중이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>3. 에너지·서비스 ‘쌍끌이’ 압력: 경유 21.5%·휘발유 12.6% 급등</b></p>
<p>지수 안정에도 불구하고 소비자가 체감하는 물가 지옥의 원인은 석유류와 개인서비스다.</p>
<p>공업제품은 전년 동월 대비 3.7% 올랐는데, 이 중 석유류가 15.5% 급등하며 상승세를 견인했다. 세부적으로 경유(21.5%), 휘발유(12.6%), 등유(20.5%) 등 에너지가 유가 상승세를 타고 가계 기름값 부담을 가중시키고 있다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>서비스 물가(2.6% 상승) 내부에서는 개인서비스가 3.5% 상승하며 지수 기여도 1.19%p를 차지했다. 특히 외식 제외 개인서비스가 4.1% 상승했는데, 보험서비스료(13.4%), 해외단체여행비(20.0%), 자동차수리비(6.1%) 등 서비스 전반의 인건비 및 경비 인상이 누적되어 가계 부담을 가중시키는 양상이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>4. 인사이트 및 전망: 통화정책 셈법 복잡해진다</b></p>
<p>7월 물가 지표는 한국은행과 정책 당국에 다소 복잡한 방정식을 던져준다. 헤드라인 상승률(2.8%)만 보면 물가 목표치(2.0%)에 근접하는 것으로 보이지만, 에너지를 제외한 근원물가 상승 지속세(2.6%)와 고유가·고환율에 따른 석유류 여파를 감안하면 금리 인하 등 기조 전환을 서두르기 어렵다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>데이터프레스 분석 결과, 신선식품의 계절적 유입이 끝나는 8~9월 추석 명절 시즌에 유가 상방 압력이 지속될 경우 물가는 다시 3%대로 재반등할 가능성이 높다. 단순 지수 하락에 안도하기보다 서비스 및 석유류 중심의 구조적 물가 고착화에 대비한 가계와 기업의 재무 리스크 관리가 필요한 시점이다.</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224369712704" target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224369712704</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-08-06T09:53:21+09:00</atom:updated>
<atom:published>2026-08-06T09:48:06+09:00</atom:published>
</item>
<item>
<guid>2571</guid>
<title><![CDATA[제조업 ‘103.2’ 뛰는데 비제조업은 머뭇… 7월 기업심리 'K자형 양극화' 심화]]></title>
<link>https://datapress.kr/news/view.php?no=2571</link>
<mobile>https://datapress.kr/m/view.php?no=2571</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2571" rel="related"/>
<description><![CDATA[- 한국은행 &amp;#039;2026년 7월 기업경기조사&amp;#039; 발표
- 전산업 CBSI 98.5로 소폭 반등했으나 기준치 100 여전히 하회
- 반도체·수출 대기업 견인 vs 고금리·내수 침체에 자금난 겪는 비제조업·소상공인


한국은행이 30일 발표한 &amp;#039;2026년 7월 기업경기조사 결과 및 경제심리지수(ESI)&amp;#039;에 따르면, 7월 전산업 기업심리지수(CBSI)는 98.5로 전월 대비 0.8포인트(p) 상승했다. 하지만 지수의 표면적 상승 뒤에는 &amp;#039;수출·제조업 vs 내수·비제조업&amp;#039; 간의 극심한 K자형 양극화가 자리 잡고 있는 것으로 나타났다.&amp;#038;nbsp;&amp;#038;nbsp;

[2026년 7월 기업심리지수(CBSI) 주요 지표 요약]
• 전산업 CBSI&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;:&amp;#038;nbsp; 98.5 (+0.8p)&amp;#038;nbsp; [장기평균 100 하회]
• 제조업 CBSI&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;: 103.2 (+2.0p)&amp;#038;nbsp; [낙관 전환 및 확대]
&amp;#038;nbsp; - 대기업&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; : 105.3 (+0.8p)&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp; - 수출기업&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; : 107.5 (+1.1p)&amp;#038;nbsp; [최고조]
&amp;#038;nbsp; - 중소기업&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; :&amp;#038;nbsp; 97.6 (+1.9p)&amp;#038;nbsp; [개선 중이나 비관]
&amp;#038;nbsp; - 내수기업&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; : 100.0 (+2.0p)&amp;#038;nbsp; [기준선 턱걸이]
• 비제조업 CBSI&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;:&amp;#038;nbsp; 95.2 (-0.2p)&amp;#038;nbsp; [하락세 유지]
• 경제심리지수(ESI) :&amp;#038;nbsp; 97.9 (+1.1p)&amp;#038;nbsp; [순환변동치 95.9]
(자료: 한국은행, 기준값 100 상회 시 낙관 / 하회 시 비관)

■ 제조업의 독주: 수출·대기업이 이끄는 온기
제조업 CBSI는 전월 101.2에서 7월 103.2로 2.0p 상승하며 3개월 연속 기준선(100)을 상회했다. 제조업의 온기를 견인한 것은 단연 &amp;#039;수출기업(107.5)&amp;#039;과 &amp;#039;대기업(105.3)&amp;#039;이다.&amp;#038;nbsp;&amp;#038;nbsp;

세부 업종별 BSI 실적을 살펴보면 전자·영상·통신장비(103), 자동차(90), 조선·기타운수(100) 등 주요 수출 효자 업종이 견조한 실적을 유지했다. 신규수주 기여도(+0.8p)와 업황 기여도(+0.7p)가 지수 상승을 이끌었으며, 제조업의 매출BSI는 전월 대비 5p나 급등한 96을 기록했다. 특히 원자재 가격 상승 압력이 전월 대비 다소 완화(-5.9%p)되면서 채산성BSI(79)가 6p 상승하는 등 제조업체의 수익성 지표도 개선되는 흐름을 보였다.&amp;#038;nbsp;

■ 비제조업의 그늘: 내수 부진과 자금난의 이중고
반면 비제조업 CBSI는 95.2로 전월 대비 0.2p 하락하며 비관적 전망을 벗어나지 못했다. 서비스업을 포함한 비제조업체들이 체감하는 가장 큰 병목은 &amp;#039;자금사정(기여도 -0.5p)&amp;#039;과 &amp;#039;내수부진&amp;#039;이었다.&amp;#038;nbsp;&amp;#038;nbsp;

비제조업 경영애로사항 조사에서 기업들은 &amp;#039;내수부진(18.4%)&amp;#039;과 &amp;#039;불확실한 경제상황(17.8%)&amp;#039;, &amp;#039;인력난·인건비상승(13.5%)&amp;#039;을 주요 원인으로 꼽았다. 계절적 비수기 요인까지 더해지면서 운수창고업(86→77), 도소매업(73→70), 예술·스포츠·여가업(73→56) 등의 체감 경기 BSI가 큰 폭으로 떨어졌다. 숙박업(71→90)이 휴가철 특수로 일시 반등했을 뿐, 내수 전반의 온기는 여전히 차갑게 식어있다.

■ 데이터가 말하는 인사이트: &amp;#039;온기 전도 현상&amp;#039;의 단절
이번 7월 데이터 분석에서 가장 주목할 점은 &amp;#039;수출 활력이 내수 및 중소기업으로 전이되지 않는 구조적 격차&amp;#039;다.

제조업 내에서도 수출기업(107.5)과 내수기업(100.0), 대기업(105.3)과 중소기업(97.6) 간의 심리 격차는 뚜렷하다. 중소기업과 비제조업 현장에서는 여전히 자금부족과 고정비 부담을 호소하고 있어, 8월 전망 CBSI 역시 전산업(96.5)과 비제조업(93.7)은 여전히 기준선 100을 하회할 것으로 조사됐다.&amp;#038;nbsp;&amp;#038;nbsp;

가계와 기업을 합산한 경제심리지수(ESI) 역시 97.9로 1.1p 상승했으나, 장기평균치(100)에는 미달하여 경제 주체 전반이 느끼는 체감경기는 여전히 살얼음판을 걷고 있음을 보여준다.&amp;#038;nbsp;

[데이터프레스의 눈]
하반기 한국 경제는 반도체·자동차 등 수출 제조업의 실적개선이라는 &amp;#039;훈풍&amp;#039;과 고금리·내수 둔화에 따른 서비스·중소기업의 &amp;#039;한파&amp;#039;가 공존하는 국면이다. 정부와 금융당국의 정책 지원이 보편적 경기부양보다는 자금난을 겪는 중소·비제조업 부문에 pin-point로 집중되어야 하는 이유다.


   데이터프레스 공식 블로그 https://blog.naver.com/datapress21/224362647270

]]></description>
<content:encoded><![CDATA[<p>- 한국은행 '2026년 7월 기업경기조사' 발표</p>
<p>- 전산업 CBSI 98.5로 소폭 반등했으나 기준치 100 여전히 하회</p>
<p>- 반도체·수출 대기업 견인 vs 고금리·내수 침체에 자금난 겪는 비제조업·소상공인</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2607/20260730114516_akypucyp.jpg" alt="7월 기업경기.JPG" style="width: 875px; height: 467px;" /></p>
<p>한국은행이 30일 발표한 '2026년 7월 기업경기조사 결과 및 경제심리지수(ESI)'에 따르면, 7월 전산업 기업심리지수(CBSI)는 98.5로 전월 대비 0.8포인트(p) 상승했다. 하지만 지수의 표면적 상승 뒤에는 '수출·제조업 vs 내수·비제조업' 간의 극심한 K자형 양극화가 자리 잡고 있는 것으로 나타났다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>[2026년 7월 기업심리지수(CBSI) 주요 지표 요약]</b></p>
<p>• 전산업 CBSI&nbsp; &nbsp; &nbsp; &nbsp;:&nbsp; 98.5 (+0.8p)&nbsp; [장기평균 100 하회]</p>
<p>• 제조업 CBSI&nbsp; &nbsp; &nbsp; &nbsp;: 103.2 (+2.0p)&nbsp; [낙관 전환 및 확대]</p>
<p>&nbsp; - 대기업&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : 105.3 (+0.8p)&nbsp;&nbsp;</p>
<p>&nbsp; - 수출기업&nbsp; &nbsp; &nbsp; &nbsp; : 107.5 (+1.1p)&nbsp; [최고조]</p>
<p>&nbsp; - 중소기업&nbsp; &nbsp; &nbsp; &nbsp; :&nbsp; 97.6 (+1.9p)&nbsp; [개선 중이나 비관]</p>
<p>&nbsp; - 내수기업&nbsp; &nbsp; &nbsp; &nbsp; : 100.0 (+2.0p)&nbsp; [기준선 턱걸이]</p>
<p>• 비제조업 CBSI&nbsp; &nbsp; &nbsp;:&nbsp; 95.2 (-0.2p)&nbsp; [하락세 유지]</p>
<p>• 경제심리지수(ESI) :&nbsp; 97.9 (+1.1p)&nbsp; [순환변동치 95.9]</p>
<p>(자료: 한국은행, 기준값 100 상회 시 낙관 / 하회 시 비관)</p>
<p><br /></p>
<p><b>■ 제조업의 독주: 수출·대기업이 이끄는 온기</b></p>
<p>제조업 CBSI는 전월 101.2에서 7월 103.2로 2.0p 상승하며 3개월 연속 기준선(100)을 상회했다. 제조업의 온기를 견인한 것은 단연 '수출기업(107.5)'과 '대기업(105.3)'이다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>세부 업종별 BSI 실적을 살펴보면 전자·영상·통신장비(103), 자동차(90), 조선·기타운수(100) 등 주요 수출 효자 업종이 견조한 실적을 유지했다. 신규수주 기여도(+0.8p)와 업황 기여도(+0.7p)가 지수 상승을 이끌었으며, 제조업의 매출BSI는 전월 대비 5p나 급등한 96을 기록했다. 특히 원자재 가격 상승 압력이 전월 대비 다소 완화(-5.9%p)되면서 채산성BSI(79)가 6p 상승하는 등 제조업체의 수익성 지표도 개선되는 흐름을 보였다.&nbsp;</p>
<p><br /></p>
<p><b>■ 비제조업의 그늘: 내수 부진과 자금난의 이중고</b></p>
<p>반면 비제조업 CBSI는 95.2로 전월 대비 0.2p 하락하며 비관적 전망을 벗어나지 못했다. 서비스업을 포함한 비제조업체들이 체감하는 가장 큰 병목은 '자금사정(기여도 -0.5p)'과 '내수부진'이었다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>비제조업 경영애로사항 조사에서 기업들은 '내수부진(18.4%)'과 '불확실한 경제상황(17.8%)', '인력난·인건비상승(13.5%)'을 주요 원인으로 꼽았다. 계절적 비수기 요인까지 더해지면서 운수창고업(86→77), 도소매업(73→70), 예술·스포츠·여가업(73→56) 등의 체감 경기 BSI가 큰 폭으로 떨어졌다. 숙박업(71→90)이 휴가철 특수로 일시 반등했을 뿐, 내수 전반의 온기는 여전히 차갑게 식어있다.</p>
<p><br /></p>
<p><b>■ 데이터가 말하는 인사이트: '온기 전도 현상'의 단절</b></p>
<p>이번 7월 데이터 분석에서 가장 주목할 점은 '수출 활력이 내수 및 중소기업으로 전이되지 않는 구조적 격차'다.</p>
<p><br /></p>
<p>제조업 내에서도 수출기업(107.5)과 내수기업(100.0), 대기업(105.3)과 중소기업(97.6) 간의 심리 격차는 뚜렷하다. 중소기업과 비제조업 현장에서는 여전히 자금부족과 고정비 부담을 호소하고 있어, 8월 전망 CBSI 역시 전산업(96.5)과 비제조업(93.7)은 여전히 기준선 100을 하회할 것으로 조사됐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>가계와 기업을 합산한 경제심리지수(ESI) 역시 97.9로 1.1p 상승했으나, 장기평균치(100)에는 미달하여 경제 주체 전반이 느끼는 체감경기는 여전히 살얼음판을 걷고 있음을 보여준다.&nbsp;</p>
<p><br /></p>
<p><b>[데이터프레스의 눈]</b></p>
<p>하반기 한국 경제는 반도체·자동차 등 수출 제조업의 실적개선이라는 '훈풍'과 고금리·내수 둔화에 따른 서비스·중소기업의 '한파'가 공존하는 국면이다. 정부와 금융당국의 정책 지원이 보편적 경기부양보다는 자금난을 겪는 중소·비제조업 부문에 pin-point로 집중되어야 하는 이유다.</p>
<p><br /></p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식 블로그 </span><span style="color: #7f00ff;"><a href="https://blog.naver.com/datapress21/224362647270" target="_blank">https://blog.naver.com/datapress21/224362647270</a></span>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-07-30T11:57:52+09:00</atom:updated>
<atom:published>2026-07-30T11:48:00+09:00</atom:published>
</item>
<item>
<guid>2570</guid>
<title><![CDATA["탈서울 엑소더스 고착화 vs 충청권 인구 블랙홀"… 2026년 6월 인구이동이 보낸 부동산·산업 경고등]]></title>
<link>https://datapress.kr/news/view.php?no=2570</link>
<mobile>https://datapress.kr/m/view.php?no=2570</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2570" rel="related"/>
<description><![CDATA[
고물가·고금리와 주거비 부담이 가중되면서 서울을 이탈하는 ‘탈서울’ 행렬이 2026년 여름에도 이어지고 있다. 국가데이터처가 29일 발표한 2026년 6월 국내인구이동통계에 따르면, 지난 6월 한 달 동안 서울에서 총 5,697명의 인구가 순유출된 것으로 집계된다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;

&amp;#038;nbsp;
■ 서울 엑소더스 vs 경기·인천·충청권 팽창
서울의 인구 순유출(-5,697명, 순이동률 -0.8%)은 전국 17개 시도 중 가장 거센 수준이다. 서울을 빠져나간 인구의 대다수는 교통 여건이 양호하고 신규 주택 공급이 풍부한 경기(+5,161명)와 인천(+2,229명)으로 흡수되었다.&amp;#038;nbsp;&amp;#038;nbsp;

특히 주목할 점은 충북(+863명, 순이동률 0.7%) 및 충남(+786명) 중심의 충청권 순유입세이다. 반도체·이차전지·바이오 등 첨단 산업 인프라 확충과 일자리 창출이 충청권을 수도권 이외의 새로운 인구 흡수축으로 만들고 있다는 평가가 나온다. 반면 부산(-1,149명), 대구(-822명), 광주(-792명) 등 지방 대도시는 연일 인구 유출 경고등이 켜지며 지역 양극화가 심화되고 있다.&amp;#038;nbsp;&amp;#038;nbsp;


   
      
         
            구 분
            총 전입 (명)
            총 전출 (명)
            순이동 (명)
            순이동률 (%)
            인구 이동 성향
            
         
      
         
            경기
            136,112
            130,951
            +5,161
            +0.5%
            
               전국 최대 순유입
               
            
         
            인천
            31,626
            29,397
            +2,229
            +0.9%
            
               순이동률 전국 1위
               
            
         
            충북
            15,675
            14,812
            +863
            +0.7%
            
               산업단지 중심 유입
               
            
         
            부산
            26,523
            27,672
            -1,149
            -0.4%
            
               지방 대도시 유출 심화
               
            
         
            서울
            95,545
            101,242
            -5,697
            -0.8%
            
               전국 최대 순유출
               
            
         
      
   
■ 이동 주도하는 2030 청년층과 60대 이상 은퇴층
2026년 2분기 연령별 이동 현황에 따르면, 이동률이 가장 높은 계층은 20대(23.4%)와 30대(20.6%)였다. 취업, 이직, 결혼에 따른 주거지 이동이 청년층에 집약되어 있음을 보여준다.&amp;#038;nbsp;&amp;#038;nbsp;

또한 60대 이상 장년·노년층 이동자 역시 전년 동기 대비 1만 4천 명 증가한 24만 1천 명을 기록하며, 은퇴 후 수도권 외곽 및 지방 귀촌, 산단 인근 재취업 등 구조적 이동 변화가 가시화되고 있다.&amp;#038;nbsp;
&amp;#038;nbsp;


&amp;#038;nbsp;데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224361822028&amp;#038;nbsp;
]]></description>
<content:encoded><![CDATA[<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="font-family: " google="" sans="" text",="" sans-serif="" !important;="" line-height:="" 1.5;"=""><span data-path-to-node="7,0" style="line-height: 1.15 !important; margin-top: 0px !important;"></span><span data-path-to-node="7,2" style="line-height: 1.15 !important; margin-top: 0px !important;"></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1129086745="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1129086745="" _nghost-ng-c3839020="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"><!----><!----><!----><!----><!----></source-inline-chip><!----><!----><!----></sources-carousel-inline></p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">고물가·고금리와 주거비 부담이 가중되면서 서울을 이탈하는 ‘탈서울’ 행렬이 2026년 여름에도 이어지고 있다. 국가데이터처가 29일 발표한 2026년 6월 국내인구이동통계에 따르면, 지난 6월 한 달 동안 서울에서 총 5,697명의 인구가 순유출된 것으로 집계된다.&nbsp;&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">&nbsp;</p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2607/20260729155827_uomslten.jpg" alt="6월 국내인구이동.JPG" style="width: 875px; height: 489px;" /></p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;"><b>■ 서울 엑소더스 vs 경기·인천·충청권 팽창</b></p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">서울의 인구 순유출(-5,697명, 순이동률 -0.8%)은 전국 17개 시도 중 가장 거센 수준이다. 서울을 빠져나간 인구의 대다수는 교통 여건이 양호하고 신규 주택 공급이 풍부한 경기(+5,161명)와 인천(+2,229명)으로 흡수되었다.&nbsp;&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;"><br /></p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">특히 주목할 점은 충북(+863명, 순이동률 0.7%) 및 충남(+786명) 중심의 충청권 순유입세이다. 반도체·이차전지·바이오 등 첨단 산업 인프라 확충과 일자리 창출이 충청권을 수도권 이외의 새로운 인구 흡수축으로 만들고 있다는 평가가 나온다. 반면 부산(-1,149명), 대구(-822명), 광주(-792명) 등 지방 대도시는 연일 인구 유출 경고등이 켜지며 지역 양극화가 심화되고 있다.&nbsp;&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;"><br /></p>
<h4 data-path-to-node="8" style="line-height: 1.5; margin-top: 0px !important;">
   <table data-path-to-node="11" style="margin-bottom: 32px; line-height: 1.15 !important; margin-top: 0px !important;">
      <thead style="line-height: 1.15 !important; margin-top: 0px !important;">
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">구 분</strong></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">총 전입 (명)</strong></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">총 전출 (명)</strong></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">순이동 (명)</strong></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">순이동률 (%)</strong></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><strong style="line-height: 1.15 !important; margin-top: 0px !important; margin-bottom: 0px !important;">인구 이동 성향</strong></td>
            </tr>
         </thead>
      <tbody style="line-height: 1.15 !important; margin-top: 0px !important;">
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,1,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,1,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">경기</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,1,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">136,112</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,1,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">130,951</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,1,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,1,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">+5,161</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,1,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,1,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">+0.5%</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;">
               <p data-path-to-node="11,1,5,0" id="p-rc_54684f369df00ede-57" style="line-height: 1.5;"><span data-path-to-node="11,1,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">전국 최대 순유입</span><span data-path-to-node="11,1,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4199221027="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"></sup></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1129086745="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1129086745="" _nghost-ng-c3839020="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"></source-inline-chip></sources-carousel-inline></p>
               </td>
            </tr>
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,2,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,2,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">인천</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,2,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">31,626</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,2,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">29,397</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,2,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,2,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">+2,229</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,2,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,2,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">+0.9%</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;">
               <p data-path-to-node="11,2,5,0" id="p-rc_54684f369df00ede-58" style="line-height: 1.5;"><span data-path-to-node="11,2,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">순이동률 전국 1위</span><span data-path-to-node="11,2,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4199221027="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"></sup></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1129086745="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1129086745="" _nghost-ng-c3839020="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"></source-inline-chip></sources-carousel-inline></p>
               </td>
            </tr>
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,3,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,3,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">충북</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,3,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">15,675</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,3,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">14,812</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,3,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,3,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">+863</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,3,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,3,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">+0.7%</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;">
               <p data-path-to-node="11,3,5,0" id="p-rc_54684f369df00ede-59" style="line-height: 1.5;"><span data-path-to-node="11,3,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">산업단지 중심 유입</span><span data-path-to-node="11,3,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4199221027="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"></sup></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1129086745="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1129086745="" _nghost-ng-c3839020="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"></source-inline-chip></sources-carousel-inline></p>
               </td>
            </tr>
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,4,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,4,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">부산</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,4,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">26,523</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,4,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">27,672</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,4,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,4,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-1,149</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,4,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,4,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.4%</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;">
               <p data-path-to-node="11,4,5,0" id="p-rc_54684f369df00ede-60" style="line-height: 1.5;"><span data-path-to-node="11,4,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">지방 대도시 유출 심화</span><span data-path-to-node="11,4,5,0,1" style="line-height: 1.15 !important; margin-top: 0px !important;"><sup _ngcontent-ng-c4199221027="" class="superscript" style="line-height: 1.15 !important; margin-top: 0px !important; font-size: 16px !important;"></sup></span><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1129086745="" style="line-height: 1.15 !important; margin-top: 0px !important;"><source-inline-chip _ngcontent-ng-c1129086745="" _nghost-ng-c3839020="" class="ng-star-inserted" style="line-height: 1.15 !important; margin-top: 0px !important;"></source-inline-chip></sources-carousel-inline></p>
               </td>
            </tr>
         <tr style="line-height: 1.15 !important; margin-top: 0px !important;">
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,5,0,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">서울</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,5,1,0" style="line-height: 1.15 !important; margin-top: 0px !important;">95,545</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,5,2,0" style="line-height: 1.15 !important; margin-top: 0px !important;">101,242</span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,5,3,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,5,3,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-5,697</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;"><span data-path-to-node="11,5,4,0" style="line-height: 1.15 !important; margin-top: 0px !important;"><b data-path-to-node="11,5,4,0" data-index-in-node="0" style="line-height: 1.15 !important; margin-top: 0px !important;">-0.8%</b></span></td>
            <td style="border-style: solid; border-color: #c4c7c5; padding: 8px 12px; line-height: 1.5; margin-top: 0px !important;">
               <p data-path-to-node="11,5,5,0" id="p-rc_54684f369df00ede-61" style="line-height: 1.5;"><span data-path-to-node="11,5,5,0,0" style="line-height: 1.15 !important; margin-top: 0px !important;">전국 최대 순유출</span></p>
               </td>
            </tr>
         </tbody>
      </table>
   </h4>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;"><b>■ 이동 주도하는 2030 청년층과 60대 이상 은퇴층</b></p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">2026년 2분기 연령별 이동 현황에 따르면, 이동률이 가장 높은 계층은 20대(23.4%)와 30대(20.6%)였다. 취업, 이직, 결혼에 따른 주거지 이동이 청년층에 집약되어 있음을 보여준다.&nbsp;&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;"><br /></p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">또한 60대 이상 장년·노년층 이동자 역시 전년 동기 대비 1만 4천 명 증가한 24만 1천 명을 기록하며, 은퇴 후 수도권 외곽 및 지방 귀촌, 산단 인근 재취업 등 구조적 이동 변화가 가시화되고 있다.&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;">&nbsp;</p>
<p data-path-to-node="7" id="p-rc_54684f369df00ede-53" style="line-height: 1.5;"><br /></p>
<h4 data-path-to-node="8" style="line-height: 1.5; margin-top: 0px !important;"></h4>
<p><span style="font-weight: 400; color: #7f00ff;">&nbsp;데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224361822028 " target="_blank"><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224361822028&nbsp;</span></a></p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-07-29T16:16:17+09:00</atom:updated>
<atom:published>2026-07-29T16:03:03+09:00</atom:published>
</item>
<item>
<guid>2569</guid>
<title><![CDATA["이자 줄어든다더니?"…6월 예대금리 동반 상승 속 주담대 고정금리 비중 '급락']]></title>
<link>https://datapress.kr/news/view.php?no=2569</link>
<mobile>https://datapress.kr/m/view.php?no=2569</mobile>
<atom:link href="https://datapress.kr/news/view.php?no=2569" rel="related"/>
<description><![CDATA[한국은행이 발표한 「2026년 6월 금융기관 가중평균금리」에 따르면, 지난달 예금은행의 수신금리와 대출금리가 모두 일제히 상승 전환했다. 시장금리 상승세가 지속되면서 은행권의 조달 비용과 차주들의 이자 부담이 동시에 늘어난 영향이다. 특히 가계대출 중 주택담보대출 고정금리 선택 비중이 한 달 새 급격히 쪼그라들면서 차주들의 금리 리스크 관리 전략에 지각변동이 감지되고 있다.&amp;#038;nbsp;&amp;#038;nbsp;


&amp;#038;nbsp;
[2026년 6월 예금은행 주요 금리 지표]
- 저축성수신금리 (신규) : 3.08% (▲0.15%p)
- 전체 대출금리&amp;#038;nbsp; &amp;#038;nbsp;(신규) : 4.31% (▲0.12%p)
&amp;#038;nbsp; ├ 기업대출금리&amp;#038;nbsp; &amp;#038;nbsp;(신규) : 4.27% (▲0.14%p)
&amp;#038;nbsp; └ 가계대출금리&amp;#038;nbsp; &amp;#038;nbsp;(신규) : 4.50% (▲0.04%p)
- 주택담보대출&amp;#038;nbsp; &amp;#038;nbsp;(신규) : 4.36% (▲0.04%p)
- 신규 예대금리차&amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp; &amp;#038;nbsp;: 1.23%p (▼0.03%p)

■ 수신·대출 금리 동반 상승…시장금리 오름세 반영
6월 중 예금은행의 신규취급액 기준 저축성수신금리는 연 3.08%로 전월 대비 0.15%p 상승했다. 순수저축성예금이 0.14%p(3.02%), CD 및 금융채 등 시장형금융상품이 0.23%p(3.36%) 오르며 수신금리 상승을 견인했다.&amp;#038;nbsp;&amp;#038;nbsp;

대출금리 역시 연 4.31%로 전월 대비 0.12%p 올랐다. 기업대출 금리는 4.27%로 0.14%p 상승했으며, 이 가운데 중소기업 대출금리(4.38%)가 전월 대비 0.23%p 뛰며 대기업(4.17%, ▲0.07%p) 대비 상대적으로 큰 오름세를 보였다.&amp;#038;nbsp;&amp;#038;nbsp;

가계대출 금리는 연 4.50%로 전월 대비 0.04%p 오르며 상승세를 이어갔다. 주택담보대출(4.36%, ▲0.04%p)과 일반신용대출(5.72%, ▲0.23%p) 모두 일제히 올랐다.&amp;#038;nbsp;&amp;#038;nbsp;

■ 주담대 고정금리 비중, 50%대에서 37.7%로 &amp;#039;급락&amp;#039;
이번 데이터에서 가장 눈에 띄는 변화는 주택담보대출의 금리 조건별 비중이다.

신규취급액 기준 주택담보대출 중 고정금리 비중은 5월 43.0%에서 6월 37.7%로 5.3%p나 급감했다. 올해 초(1월 75.6%)와 비교하면 불과 반년 만에 반토막 수준으로 떨어졌다. 반면 변동금리 비중은 50.9%를 기록하며 다시 과반을 점유했다.

[주택담보대출 신규 취급 중 고정 vs 변동 비중 추이]
· 2026.01 : 고정 75.6%&amp;#038;nbsp; |&amp;#038;nbsp; 변동 16.9%
· 2026.04 : 고정 47.8%&amp;#038;nbsp; |&amp;#038;nbsp; 변동 34.6%
· 2026.05 : 고정 43.0%&amp;#038;nbsp; |&amp;#038;nbsp; 변동 41.6%
· 2026.06 : 고정 37.7%&amp;#038;nbsp; |&amp;#038;nbsp; 변동 50.9%

이는 지표금리인 은행채 금리 등이 오르면서 고정금리 상품의 금리 메리트가 약화되자, 향후 금리 하향 이탈을 기대하는 차주들이 변동금리로 다시 돌아서고 있는 신호로 해석된다.&amp;#038;nbsp;

■ 2금융권 예금금리 &amp;#039;껑충&amp;#039;, 대출은 저축은행·새마을금고 하락
비은행금융기관(2금융권)에서는 예금 고객을 잡기 위한 금리 인상 경쟁이 확연히 나타났다.
1년 만기 정기예금 기준 상호저축은행 금리는 연 3.74%로 한 달 새 0.35%p 급등했고, 새마을금고(3.53%, ▲0.32%p), 신협(3.43%, ▲0.18%p) 등도 예금금리를 대폭 올렸다.&amp;#038;nbsp;&amp;#038;nbsp;

반면 일반대출 금리는 기관별로 엇갈렸다. 상호저축은행(-0.38%p, 9.48%)과 새마을금고(-0.21%p, 4.67%)의 대출금리는 내린 반면, 신협(5.02%, ▲0.20%p)과 상호금융(4.76%, ▲0.09%p)은 상승했다.&amp;#038;nbsp;&amp;#038;nbsp;
&amp;#038;nbsp;

   데이터프레스 공식블로그&amp;#038;nbsp;https://blog.naver.com/datapress21/224361463483

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<content:encoded><![CDATA[<p>한국은행이 발표한 「2026년 6월 금융기관 가중평균금리」에 따르면, 지난달 예금은행의 수신금리와 대출금리가 모두 일제히 상승 전환했다. 시장금리 상승세가 지속되면서 은행권의 조달 비용과 차주들의 이자 부담이 동시에 늘어난 영향이다. 특히 가계대출 중 주택담보대출 고정금리 선택 비중이 한 달 새 급격히 쪼그라들면서 차주들의 금리 리스크 관리 전략에 지각변동이 감지되고 있다.&nbsp;&nbsp;</p>
<p><br /></p>
<p style="text-align: center;"><img src="https://www.datapress.kr/data/tmp/2607/20260729104222_gfdfzhzh.jpg" alt="6월 금융기관 금리동향.JPG" style="width: 875px; height: 481px;" /></p>
<p><span style="font-size: 14px;"><b>&nbsp;</b></span></p>
<p><span style="font-size: 14px;"><b>[2026년 6월 예금은행 주요 금리 지표]</b></span></p>
<p><span style="font-size: 14px;"><b>- 저축성수신금리 (신규) : 3.08% (▲0.15%p)</b></span></p>
<p><span style="font-size: 14px;"><b>- 전체 대출금리&nbsp; &nbsp;(신규) : 4.31% (▲0.12%p)</b></span></p>
<p><span style="font-size: 14px;"><b>&nbsp; ├ 기업대출금리&nbsp; &nbsp;(신규) : 4.27% (▲0.14%p)</b></span></p>
<p><span style="font-size: 14px;"><b>&nbsp; └ 가계대출금리&nbsp; &nbsp;(신규) : 4.50% (▲0.04%p)</b></span></p>
<p><span style="font-size: 14px;"><b>- 주택담보대출&nbsp; &nbsp;(신규) : 4.36% (▲0.04%p)</b></span></p>
<p><span style="font-size: 14px;"><b>- 신규 예대금리차&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: 1.23%p (▼0.03%p)</b></span></p>
<p><br /></p>
<p><b>■ 수신·대출 금리 동반 상승…시장금리 오름세 반영</b></p>
<p>6월 중 예금은행의 신규취급액 기준 저축성수신금리는 연 3.08%로 전월 대비 0.15%p 상승했다. 순수저축성예금이 0.14%p(3.02%), CD 및 금융채 등 시장형금융상품이 0.23%p(3.36%) 오르며 수신금리 상승을 견인했다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>대출금리 역시 연 4.31%로 전월 대비 0.12%p 올랐다. 기업대출 금리는 4.27%로 0.14%p 상승했으며, 이 가운데 중소기업 대출금리(4.38%)가 전월 대비 0.23%p 뛰며 대기업(4.17%, ▲0.07%p) 대비 상대적으로 큰 오름세를 보였다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>가계대출 금리는 연 4.50%로 전월 대비 0.04%p 오르며 상승세를 이어갔다. 주택담보대출(4.36%, ▲0.04%p)과 일반신용대출(5.72%, ▲0.23%p) 모두 일제히 올랐다.&nbsp;&nbsp;</p>
<p><br /></p>
<p><b>■ 주담대 고정금리 비중, 50%대에서 37.7%로 '급락'</b></p>
<p>이번 데이터에서 가장 눈에 띄는 변화는 주택담보대출의 금리 조건별 비중이다.</p>
<p><br /></p>
<p>신규취급액 기준 주택담보대출 중 고정금리 비중은 5월 43.0%에서 6월 37.7%로 5.3%p나 급감했다. 올해 초(1월 75.6%)와 비교하면 불과 반년 만에 반토막 수준으로 떨어졌다. 반면 변동금리 비중은 50.9%를 기록하며 다시 과반을 점유했다.</p>
<p><br /></p>
<p><span style="font-size: 14px;"><b>[주택담보대출 신규 취급 중 고정 vs 변동 비중 추이]</b></span></p>
<p><span style="font-size: 14px;"><b>· 2026.01 : 고정 75.6%&nbsp; |&nbsp; 변동 16.9%</b></span></p>
<p><span style="font-size: 14px;"><b>· 2026.04 : 고정 47.8%&nbsp; |&nbsp; 변동 34.6%</b></span></p>
<p><span style="font-size: 14px;"><b>· 2026.05 : 고정 43.0%&nbsp; |&nbsp; 변동 41.6%</b></span></p>
<p><span style="font-size: 14px;"><b>· 2026.06 : 고정 37.7%&nbsp; |&nbsp; 변동 50.9%</b></span></p>
<p><br /></p>
<p>이는 지표금리인 은행채 금리 등이 오르면서 고정금리 상품의 금리 메리트가 약화되자, 향후 금리 하향 이탈을 기대하는 차주들이 변동금리로 다시 돌아서고 있는 신호로 해석된다.&nbsp;</p>
<p><br /></p>
<p><b>■ 2금융권 예금금리 '껑충', 대출은 저축은행·새마을금고 하락</b></p>
<p>비은행금융기관(2금융권)에서는 예금 고객을 잡기 위한 금리 인상 경쟁이 확연히 나타났다.</p>
<p>1년 만기 정기예금 기준 상호저축은행 금리는 연 3.74%로 한 달 새 0.35%p 급등했고, 새마을금고(3.53%, ▲0.32%p), 신협(3.43%, ▲0.18%p) 등도 예금금리를 대폭 올렸다.&nbsp;&nbsp;</p>
<p><br /></p>
<p>반면 일반대출 금리는 기관별로 엇갈렸다. 상호저축은행(-0.38%p, 9.48%)과 새마을금고(-0.21%p, 4.67%)의 대출금리는 내린 반면, 신협(5.02%, ▲0.20%p)과 상호금융(4.76%, ▲0.09%p)은 상승했다.&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>
   <span style="color: #7f00ff;">데이터프레스 공식블로그&nbsp;</span><a href="https://blog.naver.com/datapress21/224361463483" target="_blank" style=""><span style="color: #7f00ff;">https://blog.naver.com/datapress21/224361463483</span></a>
</p>
]]></content:encoded>

<atom:category label="데이터인사이트" term="20210630135603_1953"/>
<author>hchm622@gmail.com 홍혜민</author>
<atom:updated>2026-07-29T10:49:08+09:00</atom:updated>
<atom:published>2026-07-29T10:44:10+09:00</atom:published>
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