LibreOffice/6.1.5.2$Linux_X86_64 LibreOffice_project/10$Build-2 0 0 14099 9999 true $(brandbaseurl)/share/palette%3B$(user)/config/standard.sob 0 $(brandbaseurl)/share/palette%3B$(user)/config/standard.soc $(brandbaseurl)/share/palette%3B$(user)/config/standard.sod 1270 false $(brandbaseurl)/share/palette%3B$(user)/config/standard.sog $(brandbaseurl)/share/palette%3B$(user)/config/standard.soh false false true true false false true false false false $(brandbaseurl)/share/palette%3B$(user)/config/standard.soe false 7 4 false 0 low-resolution false false 1 1 true /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMDAwcFBw0HBw0PDQ0MDAwPDw4O DAwMDA8ODgwMDA4OEw4MDAwREREUEQwRERERERERERERERERERERERERERECAwMDBwUHDQcH DQ8NDQwMDA8PDg4MDAwMDw4ODAwMDg4TDgwMDBERERQRDBERERERERERERERERERERERERER Ef/dAAQAUv/AABEIAD0CiwMAEQABEQECEQL/xAGiAAABBAIDAQEAAAAAAAAAAAAHBQYICQAK AQIEAwsBAAICAwACAwAAAAAAAAAAAAQFBgcAAgMBCAkKCxAAAQMCAwIEAwUIgwAAAAAAAQID BAUGABESByEIMUFRExQiFRZhcYEyQlKywtHh8AkKFxgZGiMkJSYnKCkqMzQ1Njc4OTpDREVG R0hJSlNUVVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6goOEhYaHiImKkZKTlJWWl5iZmqGio6Sl pqeoqaqxs7S1tre4ubrBw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6erx8vP09fb3+Pn6EQAB AgIEAwQHCIMAAAAAAAABAAIDEQQSITEFE1EiQWFxBhRCUoKRsRUygaHB0fDxBwgJChYXGBka IyQlJicoKSozNDU2Nzg5OkNERUZHSElKU1RVVldYWVpiY2RlZmdoaWpyc3R1dnd4eXqDhIWG h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl 5ufo6ery8/T19vf4+fr/2gAMAwAAARECEQA/AA05x4u5USF5l8mPBXUL4niGNFuF8FcePBW6 +GPC3XVf2uOLl1hLpjQrquMt2ePC2BXIG/sMeCvM13y3jscarrDXcJ7HGhK6LsEDLfjwsWdC BzOkZY8TWLzuQkr7dyOMWwCT3oDiASnMgYxbAJNUhxG4pIxiwr5dEyGOb1s1YHt+8kDvexxy JXUBfYPdjnjxNbLv0bse1x4W6+qH+fHgleF90Pg8fFjJrzJfcOpz48arJL6haeP7XGLZrV3U ckqIOW7Hia2qr4BGQG7kx5WVF0GY3I41KyBPJljCVuvo8yhlKUEatJy5s1cZ58aFYvFMSWmw hIAO47gRu3cmWWMW4XrhR0pZQdxK+wxqSvMl7+g5A5JBIx4XlfF5lakqCFJRuAJIPHy8uMWL yGG6lBKQXSrIZrOQGWe8Y8LyF2ZhODWpSt5GQUDme035fHYxbJNqbYiw3nE5qXkE6iSpQzOR OZOMXmSRWwtUMyM1KUkpI3nLIbjuzxoSvICXtALDZTlpIzHGSe1yxi2CVHbclQ6PTK2+hHSl ZVKRFyOayqKW0rKk5DIZuDLfv382AodOY+I+EL2BpOxAkbRdjCIaHG4zluBTci9EC3vBNCgk kLUVZc2eQPe9jgqutKq+5Wl1wpUgBpJyRlmST2nFxY1JWy+DraUrOhJz3Z57saVliS31vhR0 oKOQqB4+148ZWWBedKXlo0oJKCrLfnpB3bzyY8LZfYMuRyM1EhXIjiJ7PGLeolGNHWEL4w4k A58/H2eMW6UG4o06lJGsjqlAY8ErF9elsuMHs8ZNYF8lQ0dtdDGfPlv97yx4Wy8rkRoAvK0p KATqJyyyxi8gJEYpi5jYkLeLY6IdKctyk58ZGQ488eCVslBimRo7qltNkniVmdWnu2PBKxIt WdDjBU3klsuaRzqUM9/YAAY8LYJu57+wzxixYrWpLZy6ntkd72uMWwXwzJVkd2Zx4BWL7g9s ni6oA42WFerGy1WYxYsxixZjFizGLFmMWLMYsWYxYsxixZjFizGLFmMWLMYsWYxYsxixZjFi zGLFmMWLMYsWYxYsxixZjFizGLFmMWLMYsWYxYv/0A0vlxdyogJ5WPYNUvmXL6BMiUWh0dLb tXrNQcDcaE06opb6kanHXFkENtNJU44rcE8ZAlKpQgjPJNwF53QaJNgTCh0N0Y2SAF5Nw3c5 ALSpOtUS0YUOS2yxbKqHbrEJiJHrFHguS20PBeiXU5rJMoS5y2HnG460vIZRpQtLaQpzCIxH k21pkmcnOA0gDZJswJ2E3idykjKMwCWZk0CU2tnpki2bpGQtAusvSdOr9ITUulYFUfuGgHJI pNWsG1m2Yigwt3o6UwGGFJDKxlqySlwghQcb1A7tgmUyADlEWLbaBLNE37loFeHObOQMxkMK HZZOdgF256IRDk06z5dCosOTVKNXakp2rUuU1VbKpMLRNhyWCqRJXAS1KabQ07oabjJQla0r Cl5ZaQw54cSAQMyRKK42EGwVpg6JKMMJhaASCc0DOG0Wgi01ZHSA0UPtpWyFq4aBDNPqNvxq lTJXS9EqLUCHb8SpsPBLIgyUsJQyyoymHTCfecWHgpTbj5cDRd7UamVXXOtFomXkZ8xO+wis BdeBKchqTQptsLb7DIMBzpGWiDVJvuJnKcKajTp1IqE6l1KK5CqVMkOxJcd0aXGXmVlDjaxy FKkkHscOg4OExcUkc0tMjeF4xzc2MJWAL6pHPjUryBNfTLiOPC6w7F9EpxoV0X1Sj3rlx4WL uGxx48EyWwXcN82NS5eQvsGQRxDHMlbBfJyA06OqR2uPE1vJJEi30LzLR0nk48YXLKoTel0q VG36SU8hGNSVuBNJClrbVkrk58akrouQ+cu7Y1WwC7pfyxhK3qL6pkZ5A4wlbr7pkHn4+958 akrF6USTu39773jWa3AXqD+vJGe9RHd8YCvFVe3Xkhe8cW7HlZVXph9DU2SR2wQSc9wO/fjw V5AXLjjbyFq8Uw0rj4zxjPdjAvK+U6OFtMEgZZ5E58W4ZZgjHia8heyExqQnWnelR09h2ePC xet5IYbU45vSnjIHIe1x4mtl0S22tIXp18enLfkOTGFeV83WXlFKW07uxByHvfHjWsvIXQxA 02rjW4QTuJGW7szjxNbJg11KGgpSFuaTpTp1EoK8yTnmc88hxZY8zWJbRTy3FYjrBSl2OkkB O8E71cvITzc3HjRzl5C+sfdEX0TSpTJUkniAUOM+9Y5zktwE/wC6w81ZOzBhpSU9MUWoTlkk DT0asVBjVvHKmMCN+I9gg1qRSX9NGN2UGGfaij6TYxg6VJ2bjuyZLsF5MQNtJSt1sE6hkCVH M7swrjw/mggkVhiQ4otqbLCCUFWYy5d+/PMZEdjjVeZL2uMtaFlI1ZcWXL3jGLyF5Vs6xpCA 2nLPizxk1i8ghzEsExlpbWXMuLPPsycxjwt6q90GEt1sKcQgPFWlSmt/Jmcxn9EcYtl724To OekKVnuUAUkI4svo+bGLF72oYbGWW7M5AfR8Q48YvMlnQDlmoAZ/HY8ErYBeR51tpegDWsgk IT20css93YA41JWwCR6s6w9DkpbSl/QRmnMgKAyJyO7iGMBXlJ8Wfql06G0NQSxm+kbwkaSR mewyGMKxeOpTwyWEsLSkyV5PhGWY7ZBGe7lz7HLs8YvITeqclLnUtbwgnNXFrUTx5cmMWyTE klJO/jz4uQbvtcYvMl6COhttayNOsjst/P2Yxi8pOWooc1dvJVnl2RxoV4SlJbCB0QK1B7wU Tz5EZ7/e8eZrF9AcwDzjPHVarnGLFmMWLMYsWYxYsxixTe4P3AZ2l7ZGabc1wr78/wBn0wIe anzG9c+eycyDCiZpOlWQyccKU5EKSHBuwBScINh2C07kiIVHLrTcj1ws7S4PnB02NS9kGz6B EkbSr0kU/rRlyVpm1pNOivNy1PSpGkBlDjkZsJaQG0qJ1BByUcDUJ8SM+u64T0l1jNaxsheV 6aJS+CZwVNmtDe2mW5Stre2y4aPHqUyhyWGqmphcxpL7UctyEuxYjbYWkFxSeirGa0pWnJCc cYsdxq2NBvuWAMhi20qtLaFdVNva7qxc1Js6kWFT6m8Vs0ShpcRDjoG4BKXFqAUR21oCEE5l KEg5BpCYWtkTPRKEc6ZmmXjotVmMWLMYsShJpFWhRY06ZS5cSDMAMeQ8w4hp0EZ+Ca1JCVbu Y48VgvMldZwO9mfBis+wrYvGbdNm3ZtKrMNipT5lTmwnHqS84nWIkaM+vOOpnPSpekOKUFHV oKUpQ06LFc4iRA0jaj4DWgTsmvTw0YvBZu7ZncVcn3XajG0mmRFuUCZQ5MaRVZUtsZtRHm4i lrcZcI0EuApa1awU5HPxQDFa6UjLPnduaykVCNFUdYkCXrMYsWYxYsxixZjFizGLFmMWLMYs WYxYsxixf//RDTmLuVEBE7ZFGNXuKpW1LLzlAr1Dq3Wo0wNbmiHBkS48hlGpOb7EhhtxjeD0 QJTnko5r8IuqsDxeHNlktcARpEG3QTXBgrPLDcWunuDSQdMEWaKk1UdnnfmumBRoESl3Uw+e vFUpbD09mtvNMMOSkR4xDqul4D7zLQVpW4oOKJCujEIRspmrFriS2WZAkC20ymbLXAE5LNBS d1D1XsbIOnmjImtYJyGRpIGW05V6dmzLsB1iXtD231VCanTkm3YMSuXBMS22oymjJW3Mo3S8 ZYcY6GEpZ6galhKVtJQ5rTXTEoUMWHNEshjJZY+Zvy6GfZlDbVtixDaMyA95yidrZC7JuYX1 RLafvEWvK2hsXfTGi3bUOm1ZmsVhuM69NkPPSkRKx0JtUtxSehsnowDLBUkuudDQoeC2UOuG VTt4kFjZ2AATZnZ5stOcJrYOnEqVqw26Aa7s8kmTs/JbYM8yT0vu0oFUp7SqLImyZFsSnrnc p01l3peoy+sGQKBVHBKcfKlKmFpDwzQS6W+iRmuiEpFo1Jcyc5ZoVZgiYFcV22Szpy0JycZI mlUcPAlOw1pGciahqOtnnynoymBNV52ZZ1T2kVO4wK/DhTaXSqhcc2TVlSlqfZhIVIlKC2I8 lSnNIKuqy1HlzxIaTHEECw2kNEpZ9gvIUbo8AxibRYC4znnWm4FL9i7IZ+0CfbtIol10KPVb pFQTT405UxnXIp6A4phTnSam0rcQc2816TxEhRAPCk00QgSQZCU5Sz8+9dqPQjFIDSJmcpzF 2dck+j7MqrNmv0mp1OJblaiXJCtd+m1FuWJLU2cXktqWGozqAhKo6wrqtQI7ZIOePL6WAJgT FUumJXDcRlXiHRCTImRrBsjOczuGgnXUtiNQplHrtYF20aootq7EWbUY0NE5clqetbiEudDV DQCyroK9K881EaQnVuxxbhAOcG1SJtrCcpS2d9qINALQTMGTqplO/ZXWLrJ2OKh0yNW3b9t1 dImXBLtliQ03VXdc6EllTpCEU1Si2UvoKVDeoHiB3Y8CmzNWqZhodrNx2JbGhSFasJViNavG wpetbg+1+7GaUKNdVvSJ9wVGs0mkxA7L8HkyhtCQ+hDwiFkBbSwppalhKs8iUnHOLhJsOdYG wNJusDrBn7NdIODnPlIi0uAvtLRpJou7Nn4NEpFXq1fp9IfrkRipRYMhMgOuQXprkAvNrSyp takLbK1NoUVBvquMKSnqaVMloBMjKdl8prlqtIAkgTE5W3TkntVdhEqhSdocar3pQ2lbM3YT NY6A3UHTqnOtstqaBhICkhbgCjnnuJAIyJEbTw8NIac1OV2duKIfQC0uBcMzKd+fuCSImxm6 pm0KibOYjsOVUrkZZmUucy4swZcKRHMpqU04ptC+hqbST1SAoEFJSCCBuaa0QzENwvGeDOUl q2hOLxDF5uOcRKc18rc2YOVm1rpuybckChw7Pmw4FRiyWZbktpc1a22VlDUZSdJU2sHJZUNJ zT2zqyLSarg0AmsCRdKzcV5hUas0uJAqkA3zt3BIF22VU7MrK6LVFMSFLjx5sWXEWpyLMiS2 kvR5LC1JQoocQsEZpBHEQFAgbwowiCY+yCLwtI0EsMjobiDbNNgwkOdSpAPaY3WgCSJlsxJK fFPQo8oyH2mPE1sCmdPs+UzqVGV0RPNxY1K6tKaUmFMinS8ypPaY8TXQBeLoygcs8eCV5qqx 7YBZ1o27wcqztqhbH4u32/F112lP0aW0JjVKhtBJLhhlqSFEApWohsr0rSc0oCiUNNjOdGxZ cWCWzTaiQmthVw2sZoA39X6Bwgbzsyi7GdhzFiXhUG3otQpNHdSWJcnVmhSGwiMwy2002VLW W0ZZq1qIQFYMgA0dpMR0xnFcIhEZwDGyOeli7uCdtVsq3Kvdbsi3rng2uCbgjW9UkzplHAHV dOMlDZGjt7SVaQCo9SCoeYWFIb3VbRO6YlNeYlAe0TsMr5FLMTgkbaJtNYqzVKgdYsm227m6 0TMCWG4jzSnW21HRqLqkoPUJScuMkZjPw7C0IGVs5yutXgUCIbc6U71J7bVwTaze9asl3ZbR bYsyhP2hThIefdbpzU6qrXIcW2hthpxa3S2Ukkoyyy6rduAoeFAwHGEk1tOxG0nB9YipICWV AjZjsqvez65tjs659llCuSs21aT8uUmuSG0pgsKC1IqFPcDEhLqtO9GkjiyJBBALpNKa9rHN cQC4XbhYUNAo7mlwLQZDPRI2nbI6PXdnnBMotnW/SqbdG0KjLTKkpabjKmyREpq0rkupQSo6 lqOZ5SccKNSy18QvJk07qu0ejgtYGi0jdAo30zY9eFX2oL2TwUQ+vWxPmQClT2mP0aA2848O i5HdpZVkct/a4YvpbWsxmdYUE2juc+pnzRYt3gpbTLrp0yZAXQksRKhOpbqJNQS2oP0+Q5Ge 6koO7W0cjyjA0TCkNptncDcuzaA92TZoTbVNk92bEKvR6NfKaeh6vsuSYYgSemShptQQeijo aNIJPUnlyPNjvRqW2OCWzs0JLSNRnQrHZ6YpSkNhwaVIUOpVnux3LlxXk0pI3hLTQGZWTlv7 tjxXW0k2JtCj1V5bjM5pzoJOpB0qAJ3EqI7DixldYnKKNraSFPK6IkhaVJyISRyJBHEcuLGj itgE2pjgjtuQ3EJDjaiVKTqBJJAzIIGWefPjk50luwWohXtCWum2FDaQFmJakBJGQJAmKemc R9bOeEGo/bjnZY8TcqrPaUbTRKqMjG7qd1XxtCy61fdwUe1qYWIddnl3pdc1wIZUYzDr6ypS Ao5aG1EbuPjAwdhfC8LB8Ax4s6rZTqiZtIAsmFzo1GdHfUbedwCcFybGbmpbNDqZq9v1CgVa pNUoVumVNqRTo8t3PJEh5O9sBPVKUU5ADM8gKWhamVGpLnQwIjXsYXljmEPLRntE7dmiY2C4 kORJaQTKYdMT0cibNf2eVeiUNu43JMCfSlVeXQ2n6fJLyXn4e9TragkJU0ob0LB6ob8sMaHh 6DSI2IaHBwhsiGs2rJryQJzN9ly5RKG6G2uZETIsM7l8Kds7rlWtyTdLT8SPSo9UjUh1cl4t lDspJUhas0lIbSBmpWrdzY2pWG4UCOKO6dYw3PEhMSbfuOReWUVzmF4lIEC3KUk3DQXLdecp HTUKrOxHlMmTTng/FeURnqadTkFDdxjBdDpjY8JsYAtDhOThVcNMTWkWEWOLTeDnWr2UC06p UI9XdpcMT1UON09U3ErShEZjMJK1BbgJ3qyyGZPNjWk4RhUdzWRHAGI6q0ZTKcl5hQHPBLRc JnSXnktpjM6nCjIEDfu1dgBmcGF4z9qFqBnpDelrJS2wD0RQK8+JGkkjMZ5ZgDvTjWuN5JeA keZUzDWG3pIbbCggLIJ3qGZUd54gCcsubHkOnZuqxqcWzzZZd19PVeZSKzTIjEKE5NlSaxKV EYajqUlBc6IlCwDvB36cu0wjw5qQQsGNYYoc7GOqtDG1iTImUpjIj6HQn0gkNlYJmZkL5J4V PYvcdqt0qdKk0ifblReMJmsQZrcinF90gHoshskICUjeVJG4HLiIAmDtS6i0wvayuHsaXGG6 G5sSQGc22d2cV1j4LiQpEykSBWBm3ZhDN+PFolQrcTOA8/EfcjiTBeQ/FkNsr0F2O8k9WggD I7gd3Ph9RaUI0NsQAtrAEBwqutFxBuKDiQywlt8p3WhMlNFdrVIrFbjViktCmTmYyaa9LQ1U JSpTmlCosY71oTu1kZaRvOONIwmyFFbCcHZprnVg2bAG3zM7DkC6w6M57S4SsIEp226C8Nx2 /WrRq0+37jhGnVqluBEqMpaHC2pSUrAKm1LSdygdxOOtCp8KlQhGhODmuuM5C+WfpLWLAfCc WPEiM7eppQodmVe4bfu+5KcY6afZEeK/UA+4UuKTMe6C10FISQTr48yN2BaZhiDRo0KA+daM XBshMZkVjM7ya6waK+IxzxKTJTtttMkgIX030nFWvRvCF59spTnnq7QHfhmUOUn1FLLLi2mi ohtakdUc9wy35jdx48LwvoFKcGstkjQlOeXFkB2nFjxNYvUwSWmyePSPjsdgtSvrjysWYxYs xixZjFiMvB2pdPrW3fZFS6tCaqFNm3ZS25EWQkONPI6ZbJQ4hWYUk5bwdxG4jLHClGTHEZCu kITcNNXO8L++tqMK4tiux/ZfcfXMk7YKjUIlSrjIAlRIkPpMLUy6SC0EtyVuKUgpX1ACVJ35 oqFDbJz3CdXOR8dxmAM9Rn2qXXwR9ldkXLbWznZHA2+XBBbSiv3TLacqUWHKlkNJkz7gAU4H HXVZhEVxCSrUkLaVuwXBZGe4Fxq5BduW7ri9zGiQE95lXnpHBU2I25Q7h23cJu7HLfp12Veo z6RQY8lcZIivyXlsBIQHpcl1xspcSho5pQc1at5TjqY8kMhC4C1YILRmnKt3afK2Zy7wqLuy OlVuk2XuTFauCS1IlrVmrUsBptPQ0EEBKFLcVuzKzq0paQg6WblPQQr5TsQ/x1Wi+seO/LfZ ixWXJMqS4lpllpJWtxxZCUoSlIJJJOQA5ceCV5AV8fBU4FFrbK6RTbw2lUmHc+0+WESUNyUi RDogOSkMsNrBQqQk71vEHSrqWyACpceplPLzJtg2qYwaOG2m9TOv6xbb2l2hXrHu6F0/QLij GNJbBCVoOYU260rI6XG1pC0KyOSgDgGHELDWF4XdzQ4SK1tuERsef2F7WLj2fdNvVKmQ+gzK VOfQEOSIEpsONKWE5AqQSptZAAKkEgAHLEoo0fGsDkqiw6pkglghc16YkKZUHul4EN+dIKSr oUdtTq8hxnSkE5DsseCZLJL7LpNVbipnLpkpEJwZpkKZWGiNQRmFlOntogcfGcZWCyS7potY WsNN0mat1TgZCEx3CouFHRAjIJz1FHVZc2/ixlYLzJeWRDmRCUy4j0YhxbRDzakHW3p1o6oD enUMxyZjGArwvPjysWYxYsxixZjFizGLFmMWL//SDTnLi7lRARg2BS32dptIp8NKVTrgizqT B1nJInSYrog6tx6npkNhXonPCzC7QYJJuaQTpA27lNOcDOlGAGeCBpkWbnJS8211S4IdGmV+ Q8zdtDqEp9ipuKpzcN1FKu6JCnQH2ukykOvx3KOzrbcQFPKXoyOSHhHcGQ2F1UZkgCWanmmF zXC24GubRdfoKVYTiODa+3gSZ2AZl4BBsvIqCzPnuKkTH2f241SJkaU5Tq3CEuUy0JspMtEC OwtEdpEUPqb3NojNtdDQQoqS4pa3HHlkpzS3VpiYMhcJTJttlPLOekAAAnAorQJGREzeZylZ ZPSls5kkobV2k0qg1y4Hqu+9d6ae9TGmhGqzhcpygwpUVycWFodbIMcOuPdACc1p3KLDjijY b3PaKuZmDrN9tsp6cgJ52iAg4jAxxnmpSz7rLJy0pzltCUkXjV2o1V2o3Yt1uUq3KOqk1Vhi KyyyxKo7bdRWhh1p0qUgVBuPHXqQjIOoI1q1kbQWZhjMpmLSSQ7M+izO4Fc6Q+TnvyCRssBb ms7RkNxz1XvsUuS37cuetN3PUDSKTc1sVy3V1DoTryIjlTgusMvONsIcdKAsjVoSVZcQOWJD hCC57RVtIc0yyyIOeo3g+M1jzWMg5rhO0ymCM5KFFctilvU6iqvumBumUy43lVZuPVOlVS6r AMONGZAp/TBUFISpSy0lIBOSiQM+cQOcCaptLLJtnIGZN8tzXSGWtk2sLA62TpTIkBt2aKju 2O0r9iWBX7ylpoe0ujXbQFXJU1MvrjVWkUZuYWZ7iY7DyumUh3oTgA6rNBA0g6AhQXwi5rLW lrqosmC6VlpFmejdXmRQ1z7HBzaxkZFrZ22Z+ck2j7TrZoV7bdnXZqa1bl8uS6zRX4zb7aVV mFUBVKM4pDzLbiUpcKkOBSRuKhnlvOz6G57IecWyBu26RVcshUprHxM8OmRfeDWavXZV60Wj bJLctuNfttUW5mrsqFZlsVqkz5yWocqHDioSl9ujTChwmOoksrCgkjJercnSkQHOilxa4iqB YQLQSdeGXPW9HjtbCDQ5oNYm1pNhAGunJnIjbO9o2zOzrVpVmuXy2aLMrV2Qp81inTE1eFTa tFZiwKjFe6R6hYMQKdbbdzKVhJSvelItKo0SI8vq2yZITFUkGZF+jYiaNSYcNoZWsm+ZkZgE SBu0Ezmr3o8TZk7sun3/AEi7rbUphVHbfptQbk0SpJqgW9LZfMBB6VXG6IsjNbuawgNjq8dT RyYmNDSDn2iRFW6U75y0NFcRHAh4ouBFkrDMGtfddLcdBO+67p2dXNVOEO/G2iUyG1tNfpLl FckQawElMOWzJd6OG6Y4pGSWykZA5q7DfjhBgxGCHNpzAM7W54I15ERY0N5iZoZoiVjs4z11 Jbu0W14FXpVdolSptQlbP7ZolqUZuqs1Rnp52HJbkyamjpNDakISsrCELdSoo7aQT1CttVnE EEHNOc4yLbJiQFu80Vpqy0EFpGZa1onWtkZk2JxXBU9lU+n7dYVF2jUuG1tNrNIq9Kbfg1kJ ZMZ9+TLbfKKWopAXJUG9IVmBvCccobIoMMlpzIINrckhrWgu0R8Ih4DhmiCLHaJOs6KCm1K4 qXc1Zt9ihrXKpNoW5S7bjzHUKaVM6z2tLkjoauqQlbilaAeq05ZgHMA2iwywGd7nE6U85BUq IHkSua0DTkhuGCTlxY7kodfUR8zxdrjxNeQFiooIOaceF0qJNlUaPKGlxsHPGLZokmVU7DYe zVHWW1cY4+748LcOUitg+yLhVWxRlbTNgVXhSkzpy6bPoiJ0PojzcbJQclxZykR9OalBOaw8 AdSQEqCiop0eCXVIoN16Z0OHFq14Rz7pqwJutWXbO27YpXtpkKh2ft12h2XUqVWI0B5Jjpnq XTnI3RnNagFKLL7LKipRWSWwtzSk4SlrnQ3BkywOErE2rNa9pdIOI3BASNRtpmymBtZlUXgl Uaz6c/btTj1yvi7X5seXAS04tS2m5L7ynSoDUkaAvfpVpJIwTWZEq1nk2iQq56Hk9k5MAsvm hVwzrmqzdh8Gq1UTnW6C7Y0GpvRUKIQ9JEeK0lbgG5RQlJ058WpXPgvBUMFz3G+suFOeZNHS qLfCs2JbYNqdb2O1TZ7SlXFSadakGCtlqWxHNPmLUpxUh0PPNFKXUFACk572iDv058MHUqHC Dg+y3Jeu9No74haW5MqOddrUCXfu1ujiexWbgtHYUabXpjJBCpwVLdU2o84DmsjLdry48wA2 sIY0yviWbkiHEFzuuLdzTGprS6naXAavSnOx5Vp2mY9Mq1RTIZS3Gly24MFhtQUtKlEyGVtn SDpI6rIY7OMnRWm83bOa5gTENwuF+yXssrYlftI4WFZ2kV+DHo1ndbVXm06c9MjqNRVUWJSG GGGUuqd16Xyo6kDchQ5s8jUxpgBgvkM66RG7LWFRnCNWN00h7Kdgzta2gbRtstdortfgUO6q 09bNCZcaZVVKhFnyAHXFvLQ2G23U5J1EArBJ6lOS9qRTarGwwZTaJnIJLxAos3F5tkbAoo8I K2NsiLxeuja/RG6bMvFby4LKZUaQ0iPF6GgMNiNIe0JaS4kDVvOeZzVqOGdCiw6lWHnbzPQN La+tN4kgO7RSY/Qop6GpJJSFFQG/j4lJwWXIYBemMxMGluRHSkHMKUlaSE8xyzG448TWwC87 tKgtZvrd6GjV1WR1AHlHx+PBK2Sy1DQ22hCd4Txcu73s48LEz7rhpRpfAIWGygjnGeeOcRy6 Q0VrtYQipU+JmCumW/QIik5gkFilQ2yTy71IOEOovbRq2vRIztnFeRuSNwjxslkDR5CE+tgT Oja/aJ0hStNR96NOl7uffhPvkbj1xNgzul2onAo4Xt3HaIzN0LpW1rJgVO1U7NExdotHmxaQ JRlJqzjjjbThcEhTr/gmg5jq9Jy4uLKunUsRKTFfCimkToUYGIW1cVJpIFlluzTsMkxoc0M4 WtIbMGtabV7Jyr/pttXA9szpjEurtbR7gK1JjsyHmY6pBSQ026khKSrSlagMwMt4G/HGDqk+ ks20HljTQqPLNOaC6rnlpvGdlXRwiiGcSJnGvyGyzKV4rlp9OcaveHbsWL0SnXpbM+tRIKkF mK+4yhMrIZ5BPRVEH0VqHIctsGUyIx8F8cm2jUlsNzrHEVjUtstkF5pENpDgyVj2EytGik27 nLtpr20OobG6bGm7QG7yEOrKbjMSpkOlmK0pkMsPIWA045mFqCSc8+4c064OiworaO3Cj3Ng arzYazmtMSua83Ai0C4W52VeY4c0vNHALq9tgJDZTFk7ktR1u0StX3S7QpVNj3/WLJh1aq0W C1GWwq4WyRKbZDupBOlQKkZlJJCiCok4FfBx0GDGpReYLKS5rXuLwcRLMuJbI33GS7B1Vzmw 6tcwwSBIgvnau9sgRrRsWJSLXqddt6tUlXXkgU2HTJEWVU1pUJrFQfkuNvNKac7ZIKUgAAEg ZDMIxXRaVGMaK2G9r24ovfGDgwEVCwNm10xfMaa3gMDYbajS4SNYANlM3zmQhumZe8K17CZ2 FW3Gr1qV+n51tZjRJBeqetaZkeqKkAdCS0AlIBUnIZjPcMnTH0SLSIxwvEc2K14EMB72jFgC oWBotJ3E6CEIitYwUVoqkZqwG22YNtiX7WtKoLsmLZ1zLdr1pV+zZVQdYiUinMUVp51tbjSV T9XTLk1opJBQBllqy3agjw3hUOpJpEDMPbSGttiRTFIFUTqEVAw6OzmjqHRSIdR9oLCbAA0G 3PnOaiDwcDcFwUXbJQaOw7Uam9YkhqnRWwnUt1yQ0EoAISFKz5z2GLH1PKUyA+hxYljW0kEn OAqu0kiwLDLxFa28w7Bn3osWZTK5s1sVNvbSyzRK/ft3WwmgUR95p+WUw6g25LlrbbUspS4g 9DJVlkcgQMxmgw3hCHhWl4+hzc2BR49eJIhuaYQ1oJAnuCOocB1GhVI1hfEZJtmc4TKedXcu dqn34rYjT6RMvJvaBVot2tSkQFvJpYefMdtxMwhKYas+qI4jqyI6oiPwIsJ7oW2m54haqwzC LS8Avk2tayeayBMXNc0O1XDa2NdWu27nWHOSbtOlMW0/whKzTo8OI/QbqsJ9hZjtONMhMSnq JCFpUkp48xlkebGmAGupLaHCeXGvApYOaMya79Gc15pZEMxXCQIfBlYMlqWLih7Q3dq+0a84 0x6JTqFSaeq3hb9EptYrNSp891rN6nB4hCtC0q6I4sqIQoDLtkgehUiiQ8HwaNe50R+MxkWL Dhse2yTqszaCJAADPXeIyK6O+IDYGirVa1ziJ3ie5pJ2kUBD8bbPHpNPLdduLZ3a9cnsaWG3 3no8+QZkhxEc9C1pbZBc6HmnPizz3kaj9PIfRHRXZiHS6QwOzRABhtqibs1KZsmFrT4AcIoY LXQoZzgbHGdgs01X68/qpcKOlo9LsulL7iUgFSl6i2NQ379R3Ze949hioEm9WIq4q0od0Jc0 AFtJzUnIcasufGpXkBfA6krAaVrbUltY4t+act3vZx4AXkheuIdTCewJHvROOzblyK9ONliz GLFmMWLMYsR04Mfj4bYx6+6l/ThGBqXxrdpFdIO3hpq+PblwcLE26V2xq7tCqU1qg7P2amtd OiuiK3ME0xFL6ZlZ60NJREIUEFKjqz1p0749R6U6ECG58kyiQg+/OQi2j2DQtseyRrYrsMoU e19l6pTEqfdqIoj0ZLEBfR9NOSpTb0911xpGb6AWSNSi+pY0nvCiGG+u+05M/wCwub21hJty gDte4Lm3G+qLE2z0GZL2pQKn0+w7TGipdSpManTpUSPGjRlLUXmUtMp0hkagoqHQ8hrLGDS2 NNQ2XaRQz4Ljmr1AZxtxlxbTqFNOtKKFoWClSVJORBByyIywxQy6Y8rFM7gG7M0bQuEDQZ86 OXqNs+YXc0nPtkyIykIgpz5xIcQvLlCFYBwjFqQ9OxEUds3aSvhvK7ajbSYEWh2ZWL2rtW6K IsOmpaZjthkJ1uTJ8pxmOwgaxkCouK36G16VAR1jA68y3mRMXOkhPX7720WPEXft+USz6bs8 pLrBrVLor9QqtWiQXlhp2f1oPN05kpjFYcdbEVWbaV6V5gZ92Q2OzLZzzpyA0pWrQucLTKSH W1fYbst2xcIG1H9olJ68NKr2zqYmjrYmvxWzIpVSjuqWh2K80Vks1bNIJKSkE5HLMdINIdDh mrnOtsyjR0lo+GHOtybzaqtjhq8HHZdsCqFqmwrqmPTrlL7km26i63Jfix28tElDqENqS0pW aEhwFSiCQs6VBLWg0p0WdYXZ6EpEIMuUW9l+0aVswuCVcMKkxqzIfhGGI83JUcpVIjvL6Kgo XqSpLBQQCkjVmFBQBwXFhVxJcmOqo8I4Qj9bl0KXS9nNXrb9Ablsz4smdFmxJrUh5+XFU+mL QYsgLbldBdJU+ptZaIS22FdSPqtK836BG6ldMbPO3myScvhJVKPTKHS5trVNNVtWZQHS4ar0 BCjRmqU0+Xm005MguyDTMslvqZQHCegKdSHj51VtvvnnZZ6Oisx28nvMiHtx7Sn7t2bUCxVW PpNIqi5cOvoky35cmdKXJdmofSvUwvogfbCQ2hDgS03qW6AMujYVV1ae4WLQumJIWptu4lLW 0mgVJTjaghaBFe1JUU6wCNGYJTv7LfjtWC0kvhHolalvSY8SkTZMiErRIaZjuLWyrMjS4lKS UnNJ3HmPNjC4LJLxvxZUZ15iTGdjvxtzrbqFIWjiHVJUARxjj58eZrwvRIpNViRmZsumS4sO RkWn3mVobXqGpOlakgHMbxlyYwFeZLwY8rwsxixf/9MNLxdyogIsbBUKc2t2aiMsNVXpl40h a0FbKaqI7pp6n0hSVFoSNBcA3lIIwtwseFDp3WTy1ZituMk3wQJx2yvnZpyNXcJot0Ov7Ur9 2P0Cv3jekW0bFFapbQnw5eiRDjx+hQImaw0luK3Ha6K522VLdcU4tQ0oQlfFgwYEcshtLnVX WEWEmbjn2zs3ASCcwI0aPADojg1s22g2gbdGlK3cTMqbtYvm3FVmnVlEuFcDMLrajlEiW9Ej 011+YymOtbTTSIshuQWx1ajrGYSlS0udTF4dFdVLbROrnAk2W6Ilk3KYUniUhtYOsMq2eQBa JaBnLe5oVz2IzZunotWFau2536PLl16nhsMdOIhVGO1nGabSp9iO8820tayFOJdWVoQlKVuH sJzNkmtDgGnJWab52EiZGSVhJuCe2Va2bnVZuEr5OF2eBOWjM514TuG9dsprN02jtZqtMfo9 TsKrz6s7A6M+t1caDEil2Eh6NFLHTElmE4tve30VtwpLaXVJwxbRqPUESADMRGgTkLyTbImc gXCd8iL5JU+k0iuYcYiRY4mUzcALLBKZDTK6YN00C+DAzT522+xqLVqNS69Sa9KXBmQ6tAjV BlbSm1udS3JadSlWpsZLSAoDMA5E5k4YJEBzgSCLRIkbSSGwQAY7WkAg2EEAjc5ooUqDStqS +EFZlTt2hU+r2FT6xdFs1Sk0qDS3oyKLL0vwnekI8YPNutOBI6KFaCMxvwDEcYGLeCZOLWuB JdeL7SZbgjGtEfGMIE2hzmkNDTmTdYBMbRPSs0+sS7B2EV+1LRsKPUbmo9YqVxPTLbtvTKNO fKgQy/B1DwSaUNLCR73vwMxwESI17n2OaBm32TGno56Je0mHDcxrLWuJzLLZaYyZEy7cqlKq uw3hC3LGtC3IrtMrlM6wlO0SmPy6bDrk58Px2pS4ZcOlshKFZ5tgZo0ZDLvFYWx4bSXWgzzT gCWgWynvM9c4Tw6BEcALCJZlpIDibJy3rOUareqMSmVqjVWVT26tFpc6PLfgunQiS2y4lamV HSrILCdJOR4+LDSM0uaQLJi9K4RquBNsiLFLIyodu7C65eN5Wpa67j2pylwLKp7NApkdyBBZ KhOqSHERUvZdWENFSyQdKhmDmEki6OGMLpME3GsbTnC9OZhkAveGzfY0VW2DPNyStpspmFs4 2BVqnUG3YFRrNPmVOe9HoVLaXLkwZa2GS/phgLRo3KbVm2s71JUcjjeiicSICTIEAZp1kxpr WlGUOGQBaCTmW2yOlvM9EK2Xob9c4SS3rVtVbNs0KfUKK25btIUiE7HkNtR1NIVBKdzasiCC FHJSs1b8DRphsO11rgDmnW2TOeiIRBMSxtgJGZbZbZnIf8GmHAn7TodLq1Iplapk6m1RciPU oEWc3qjQpEhpSEyWndBDjaTmnIkbjmCRgjChIhzBItFxIzwM5cMGAGJIgGYN4Bzic8JwcHy1 7dvG6q+9esSO5FuBl6gQdEVpDDNXrLUlTDyGWkobbDaY7mjQkBClIyy3ZcsIxXQ2ipnWm3Ob Ld11wfCbEca+fYLM8g7sgJNpEqlVCfS5zXQZtNkOxZDZ40OsrKFpPZKSRg9rw4TGegHMLTI5 y+aWOw7HGTXkNmvuGMyOpz3Y8LcCS56WG/NBHeceKy8gTXXpUDLcMZWW4C6mICceJrEVbVpD EemwqjSLin2fVFsqblT4ch9Ml1xUpKAlhiOptTiEtEZhK9YVqBTkUErY8S2RExnWWXIqFDkJ gyOflTduLY/alwqVU6ne65M6UYiZTsqMJj63nFNtyVqfZkuo0p1HQVr6tSVJzGWo+G0giwN3 OQ2i3xefPd00K/swqdboyIZ20VuqUOBTpUqJS6wXHGGn40KLLjMJY60pCW0udMlvomnJDiCj eSnPw2KGu26AToaMsi6SrDbx3m4prNbNIdwUWju3TtHk02VGhpdS5Mjuz2kskRQItPZakuvO lsyD0XJtAb6E5uUEEjcxyxxDWrBBrC9fCxHJlXpcKqI2mVqyqglow6pVEzZ0iXMaC5PQocGF FWlTzaEpSpSStKmypRKChaDjWM8NMqoOQSElvDBIvy59q+NMtil9M1HrK2sBpuVEXHnOHOE0 uRNgJmshShMLjkfLooW4pA0rRoUgFxGfl8cgDM6WzlkWrYWR16+1LtuAKbKojd51KkU6VNU0 adLjssKzbRHW1NkxE1R1tuOnUrW+FLKQUkJUDu8mNbOQO8uuXlsKyU07Ka+/OvF+kV/aBW69 S6TSo7lJnSpciMqCmZJhRnHmUuPSFMBDLriuqKRpTrKdHHze4BoIAFpnYugaSZEmwDPT6tyK hpi32W9o1UZE4udMM9OltguuyagVPNOCYpSilEdCnUlAI6IlWrqxnyc+d7dyt2i2DdE7NdnL UZr5idbO0uW68h0NtmW2JDaGwgrkPsgzXHVtOHQhlQALi+oKEni31Yqixuy3paGFO8r5RdmF ClVVmObu1MudECJy4GhhpKXlMhC+iSUvJczAU4kt+CaTqJ0DUfJpRAnLazXjEDKvPIsq3A2+ It0uyHY8xyGtaIzOhKktJX0ZwKm5IjpUClToClZlOSCSBjDSTk3myWCCMqQnbPpsKs3PS26w t2n0CmpqnWlJYSy1IZKcstBfUpDhdcaQEK3kLKiE6CMbiOZAyvMtxXgwxMoZ1WmxXoSKpFqL kVvQVdEYcybUBkQdWrLPduGWXZYILpWLmm5MhzHYR6N0V4vK1NFwHUUryKQCSScuLA9IfVE8 i7QRMos7RFN0vaBcDbjq3I7k9yElI3pR0qroCT2XU7u15sJtRYSoEHRhtOzt3VE4QE4ztOWy sXu2X06j3JtetK1a3FM6n1FM5b7HRVslzoMGW8hKVsrQsZLbBOR35ZbxmML9TenxaJQHxYTq rgWyMgZTcAb9Nd8FQWxI4Drrdoibc9mUmuWRFr9M2d1TZxc668xRYtLnSpMldRD6c0lrpsIX mFHcQNO47z27FMCYdj0amGjx47I8LEue54Y1uLq3gltkjs5ZyZUyiNfDrsYWOrAAEm3ZpjVb ZHd1Habkx6pSqwtmoxaXUU0yatx2mSpzoYQZeTaSkFxWklGoZ5jEhgamVDjZlzHtBY57K8OQ exgnmZ32WgWIR+DIrLiL5GRtBJF+zTaubYHdlCi3BU11yjVVy3vGSplLm9GnRmivJLzrPQ0H RxKy1asiMwMjl4oWprRKU9jS17RE2498OrDJyB079yWRcFRIYcZtMtvAOmRbevu9spu2g0yU IFUoci/qbT+tJ+1mKkk3AzFCA6o9K5bz0IaigKKiMshnljRuppQXkBzX4ovqiKYRxNacpVtP PlLRW22VGFsxWlOrWzcpTuQ+lWnfttUai3HdNdtFD9wNwKpDtiRWFxa8uDPkJajutMttKGlW rMlK1KSArMZpUAQNS2j0l74EJkQhtdpeIc4Qc0Gy/OlklYtTg18MB7i22RlWk4gkJ73pseRV LR2w1E1iiWNPsusssR6S3cipMRpsoK32Zr8yMh9anE5dL6ggrVuy3YjdE1MJRqNCc10URGOJ eYQDiZyBAmZAa1bYmEXBWYiOBDZESFazS3HOyoK0Dg4bQHoMBl24Lbp1xV6Giox7Hk1pMevT YpSXEeDPSG81ozUELcChkcwCCA9j6m9CrFzmPcxjqpjYouhNdORzeneZISHgqLKQIBInVrSc dwRLsTZFcNTsey63dDlMXb1XfDSadPqTsJ+Ss1BUQxEp6GFpeIBz0ZkJGeerIY5YQ1LqJjYk BgdjGtM3Nh1gBUrh08luedJbQMGRarXmVU3AulO2Uk2avsGnVeu3zLjy6Hsrt+2a6/Qor9Wq qm6R0ZBBbhszHWRJfUCvqlqbG7lJBA1ouphBbAgtcIlIiPhh5qQpvlOVdzZybPT0lu/Bjy9x FVjQ6VrpCcrgZWqPu0G0rr2eXDItq74Yh1hAafS424l5l+Mcy08w4gkKQrjz4wRkQFAgSrA+ F6PhCAI0AzbbMSkQRt4EG4jPS+l0aJAfVffYcs554KmdKtvZ1sy2XSH+/OaRfG0uxGqFUbvT WVyFFhyttLdZOgOEENLLaFtgBJB1K3nM1I2nUzClPAMd8KBFMVsKoBI4stBFozxMg35FKcXC o0GdQPe0NL5323IQXvswvy5n6vf9/XtadIuq5IPXglW5OqSItXEVLYU0G4ehSRkw2AhBc15D IjUDiZYF1IKFRg2h0SHFdDhuxYiNhufDrF1uanO+83aKV0qgxnkxIjmguE6pcA6UrLNK7PTQ lbJLoi2tNvSjXbbdZbpMFiXOpNEqxkVOmw5ZSkKeaQhKABqAcCXFEZnMceR/AU0Z9IFGiQ3s L3ENdEhVWOc3ITpWTAXE4Mi1MY1wdICYa6ZAO8yov2JwdpkCTV5N/wA2hypMC1Z89y3Y9VcT WKa50qXIzsphroRABKcwFqHVJ1Ag4iuHtTtkSG0UQPANIhtxhh8KnycQ8Bxz9wmmlCwI5rnG NI8K3GrWzYsmJhJNubFZSbEqC6jEpk2/bhpQrFu0aTVFx6kzDazcXMZhtDS6pbaToS4sZAKO kkZBnhHUyhmlNbDc8QocQsivEOtDLzY1heTYAbyAck1wo2B3Ys1gC9zQWguzQbfOSajHBsv2 vQqLNjVy2W5F2UhuuUWDKqXQp9SQ6yX1MR2VMhSnG0ZFefgmNQ6vjy70rfItChOeCIhEN9V7 hDJYy0CZcDKVtmfoLSHqPRngEFuabMCsATZdLS3BcUvYLcNFrmz2RVzb16UquXAmhTIdNq7h bYnJT0VcCdKjMrUy4EhQUW9enI9hnypGpvApEGM2GYkJ8OCYgLoVpZaA9oJE7rJymtoWBXw3 sLqrgXVZB9k8hIuOzXwp+xStVNmpViRV7ZsGiPViowaWmv1VUdEpUSQ4243EWtlS3EtKToK1 hOZyz355HN1NYMENhBsWM8Q2OfioRdIFoM3CdhN8hMoc4Fe+byWsFYgVnSnIysyrihbD7mrE FFRmV+2bYiTZr9PpblaqaGBVH4zhadEEtoeDiQsadeYSSRkTnjvTNTqjQH4trIsQhjXvqQy7 FtcARWnKVhnK9c4OA4rxWJa0EkCs4CZFll+zQyuG36xatZqFvV+Cum1elu9Ckx3CCUnIKBBS SClQIKSCQQQQSMSfB2EYVNhNjwTWa4TBS2kUd8F5Y8SIKR8GrgsxixHTgx+PhtjHr7qX9OEY GpfGt2kV0g7eGmtgzaNBbvi5rS2Xykl23JrUi47oZPinLp1OWy1GpzoG8okypCFrHbK22HG1 ApXkY5CNUF24DTypm8TMlHvhObcqnDXW9imzlBiViTT0RK5W2UIdepzU5DYEKmxFux0OylMv oJUt5pDfRGUJUqQ8y2SaJR55t2WwbzebguUWJrIQa2P7cazsLuWt2Xc771e2TyrklPCZOi9Z tRt81Wc6VPhjo8nokLozuo9ELbpClvNoW0hWXePRxFFYXy2chuFq0ZEqGRuQ+75J9itIoc22 ts9vwWoCrlmKotwoZToS9O6Et+LKIG7WttlxKzlv0pPGST0wXHJmw51oWtLhyzSqpw4QSuB7 4tIsbrM2zTuhoMxUqiMFzLqw0ET1BOfICT2uWEuFza3cd0R1Dz9wVpteuGiWvS5FauGqRqNS 4ukOSZTgbRqWoJQhOe9S1qISlIzUpRCQCSBhO1pcZBGEyvUab/vHaxtCeh7Ptn1nx7Ro96B2 NMuC7MutBuhqbWibPj0AoUtKeqQ2gTFNLLjiUmPp1rQXChsZmnGcs4XT0922a5OcTYM/eXIS VykbRba2Vm3dnU9m4NsfBVrLkWnKkBEx6ZblThSGYbi47e/UmnzEHQU5qdikJSsaQrs0tc6b tuvGlaDu43NcyCBIXjaKmTajF2ht3hUKjtOcmTbouAJqS6lKdRJbqDDw8EpMWS0pbLrBSnJt TSi2ANKcgnIPIRbKTbkC+c7Uh2hdD1n1tmuMUelVx1ltxtMWsRzKjHogyKi2FtnUBxHPnxs9 lYSXhpkpF7Prn2T2g9tErs25IFXF92G7FftpVNqMJhNTeqdFnu0xp2MwUpbUIr6ULBSlACQV HPPA0Rr3SErnXzBziJ7mujCBstHQSTs4uPZuzat72nel0R2HdpdvTC7UHoEyT1l1SmvMv0Np 11uO48OrjLSssIWhSH8lnNsJx5itdMFouI3EZ6xpEiDnhNvaheVCuSfbtes2uihwoNmUq3l2 +G5TT0VUWKiLOjIUhnpdbT73RH9XRAVdEUpSQ4SnG0KGRMOE7SZ7RavdO7IjjTNsGzgcK7v1 aRc6YtmVm84d0OSVxJynIUdmHLStmQy3FWsuhcsI8EgtGYUdenIq4GA7FVJWgSvGVdA8V56K FWx+4LPsfarBuKsX9DTQJkG5zKWxFqi2WXplJqlPgJcb6RDinFLmZ5pbKUIVmVglSU9o7S5s gMmTKDui0YQDPTWbGrj2fUxm5qVtEuplEPaVRKhbM+S7BmTl0mPGYbdpUlS0sLXpEyOwpKGg shLQBCRkMZHa4yLRcQbxblWQyM/PRB79T2c0e0bbhquNm5XYGxmtWLNpEWJOT0Wr1KpzpMQq VKiR2uhxy+0+VhWYUgaQVZZcsS4k2SzYN+dIaK3riW4SUK8HodZjFi//1A0vlxdyokJwWTdM qyLwte74bYfkW1U4tRS0rcl3pdxK1Nk8ygCk9gcD0uAI0N0M60CNmjKJHMGIIg1kg7JFtyjy Jt+s7I4tRplMocV5yrWbWXo72tVLqan3IUlttMssSkGO+UvIKUhKwtCgopUQvEQCFjyCSQA8 TF7ZTF0xaLE4bDrRMQCABawyNxnI3yNhtGWYKKL3BU2m2bcFJqlRuFdv7P25aOnak3VZFHe1 OBOp5DbVWrbYQEpJzK28jzJGWABh6DGYWgTfKwVQ7cLWM3VMBgKNCeCXSZO01i0+jP3RM7aT c/CPsCh1KNS6lJ2nbL644411rrcrlWg1SmthSFJS3Lq1QDcTqSlRGjogO8uNKSSTQqPRI7gX Co8Z2YaQdwY23Zy0ChadHpcBpq5thz824Ebi91mynohDePtIuW5bBvK/rug0+BKuuGzYtsR6 dFTDZMVMqNUKvJbbzUVBvpOOyVEnMukA9QoAik0RkKI2DDJMjXdMzM5FrRuZO4IWj0x8Zjos QATFRshISmHOO5AbikTYdelu7OdpVvX1crVSlQ7aWuUzFpjTLjkh8oLaG1qeeZCEZLKioajm AMt+pPHCNHdGhGG2VuXeiu2D6Q2DFER07Mkk+pW1mxrZRtWnbO4NefuDaw1MpsiTW0RmG6VS ag+H5bDCY7z5fccyCOiKLYSBuSTgQUOI+oIkpMkbJmZAkDbKQ0LUUaYxlcw5zfMWysBMyLCZ 7klau7RdlNy21sothNbvOlp2YRJsMz49Jgh+YmdID6ihHWyAyUjNI6peefFyHnDo0Vjnuk01 yDKsZCQlrtq6RKTCc1jZuFQG2qJmZnr1i9sTaLssi2VtTsiBCuGmU7aJWokyJ0KHEcFOhUuW 45EaIVPQXVraKeiHNICswNQ3nw6ixS9jyQaoIvNpIE85dG0mEGOYJgOINwsANmehvXF7Mn6/ ZqKBBrjNqUuJEYrrshEdFTnOCU89MebSh5bQJbdCGgVbglIJPGezBFDXVpTJMr5CyzaId5h1 m1ZyAE7pm23P2SNF7bVdlF73dJuKrQ7jVSaTQlUa1LaTBhx4FPDMZTUNLrqag6pTaHVdEVkg End2yNJXwKLFhMqiUyZuMySbbc4I6PSoUV9YzkGya2QkLJDPypLcu2wry2dWJbV2yq1Q61s3 E+PFdpURiY1U4c18SA2ouyoxYcQrqdWlwZb9JPU43xL4cRzmSIdK8kSIEshnuS1xrIkNrXzB bO4AzBM8oklO1NpttQV7WZdwRKnHmbTYUqmNNU9ll9mDHkOoeSvojsllS1J06dOkbhnq35DS NRXGpVlmSDbedyK3g0lorl083MWSMtzCcdhbQtkWz+o2vVKXCuCZPpMasoqUp+NEbcmOVNhu KylATMUENMIStQB1EqUd+/dxpMCLFBBItLZWmyVuTPXaj0iFCIIBsrTsFsxLKkKi39SbUp1u wbOuy46SqDW3alVH247cYS2lhgNBTTVSIc6GI+5tatJK1nUOI7vgmISXhpmJC2cty0VoyMGA BhItmbL9kV4NqVx2red8Vm67YYl0+LcDvTkiJNQ0lTUlYHRtCmnXAoLUCvMhJBJGRyzO9EY6 GwMdKzItaVEbEeXNz0w0obz8VE+995x3LguQXsQ0ggZKHe9rjWstgu5YGXF3vvePFYLYLjpb sN/e9jjVzlsuOl9+R734/HgumsRDpMSxesRKKm+11qKUw5ktMrXqCpaXkOKbZUkI0Fsp0Ekq yKsxmEhxXRK2ZutyImG2HK3QypNgtWj1jFqegrqQnPpQcnQpMZbB0LKm0DUUuISADxZk6cju 2cXzs0Mi8MDQLV6K8zYEmRNmtJayUqSYkeOmS0SopkhpLiS2Gw2ChojSoLIUdRzKuh6NMUWb styIZM0nyKDsuqTvQ1qTCiR5SlapCZjyXmeizEaVdDSlQPQkR15gblLV1OXUIycUXW7gF5DW aW4ofS7C2YoD70JyGt+M5Dfh9NsS3G3XmmXVupnjpcdQXVhAQ1klWSQrMArxsTEIt3mkvMmi 7ebkhjfNiW9EYnJs1x1+RDeAbfKl6pTKjMDwKFttJHQwiOEZJSo6lk58TfWGX61vN5NeH1c5 BeUp2m1Cm9PsOxOl0FC0uIO8OJICt435k8Yx1WoC+Kpj7bmnMkoLgSN5GR5uw3Y8grynPbwd mKQWnCy9HVkDlxDlGZ4+Pnxq4yXkIv05TwjtdNZJfTmD1W479xz7HHKa2DV71zXGuiHoBU0w 10UnPSFAZggZ8R4uzxk1kkjwa0ipzGm25y2y7HLyWS2lJSclAAkjkUDu5cbLzVToo9Tk1Jl9 hMtyIy2pLdRiEgNSFIRmhZAVlkkqVlx8uOZFs1lUr0MUNDRfix2GWqQ62rKOEpUjoiiDq05Z ZcZy7HHistg1Nun0OsSLztSjyXlvNz6xBYSUhKQtC5Dbe7Ibtx4s8KsORsXRYj9dY4+QlF0F laK0ZXDapx3c29UKrW5ryTKkInypOkE+Kbj6lEZDjyTvHHjbA8PF0aE3JDhjZNC8Uk1ojjlc 7alerZ1X4lqXvbt51OI9JRbhnKdRDCDIWzIgyI6EtpWttJyW8D21uAwu1LMEvwjRHUeGQC4t vuscDnA5F1wdSBAih5nZO7S013sbb1JqFHo1JvJE6sXzYNYYqdDqsh3o65EdZBkxpy33ei5H TmlSdR4hkkJ3xuNqE1Yz9V6rIUeCWRGNEpOlmXtABF94sTBmFZsbXmXMdNp3QzKkFUNolJui TSW6fWLp6YrFYp7q6bPejqp8YJltOLbToQpxxIIyRmRkMieLemgaiMahwnOiMgShwombaH4x xqEA2mQOWU53WI12E2xHANc+1zZg1aotB3RId33vZ1sXHtNbt6NVjfFblSaTLEwtCGwlTqVu usEJ1r1hKVAKGSczvyGR1wHgCmU+jUVtILBBhta8VawiHM5lpnYJTvGyWUumwoESIYc6zjK2 4W3qPlV24bGKVtEqm1+iU2vubXpLL6WYjjzAt5FQXBVBVI15dMKSEqOSFJGaid4TkpLBuohT 3UcYNc+HquHTrgHGlgdXDJbdnPWp7guQwnBr6sBrq5BssqzIlP7Ek3I23PZy1sth2lUmruua pMs05un065EU6RCpcmGtro0qlTmmmpQSUtZIQSlIzKdwOOjtRGmOppjAwobTXm6HjA6I0tID XMJLZ5XTmdFeBhKEIVQ1nGTZVqsmyIuN6Tqtts2cXGrbU3c1PrKbP2w1SLU4CoCoaapT5dMT mwJDC3nUlt1QyUU70pG7MrBTvA1EaVRmUWJCczGQGuY4GtVc19jpEAGeSYkvLsJw3mIHgyeQ RKUwRduC4G3fY9Urso+2y4rbuxza1SY0RS6TCfiIt+bPgsJjMylPqBkNoIbBUhKTkQB1QzKu PAKYQh0d2Dob4eIe52bIdjQxxBc2W3SbLCt2YSgF4juDq4AsmKpIuKSmtuEGvP7G5rsSpdbO z56fOqrDERLzUtyp1QTHelEoeUU+CeeWvQSchvAzw1oWoo+jilNBbKMxrWWmYDYeLts2k0NH wi2JiyQcwSTdr07ERpu1qxL5N8WztGtm7KLbsi5JVzUKpU+M2ifFMsAuMPoc6I0lQKCUrStX Hl2yDmroGorTsGlkaiOhufiWQ4jX1quZMw5pABz7RK1FxsJwaRNsUOArlwIlO28ET0EMb72j 2TfO13Z7VqhR5Uex7LiQKamI08zMkOU6mLcdQw4FKbGtxRyWSvIJVlmciS4wbqM0ihUCLBhv BjRa7i60MD32TEpmQztwQtIwgyNHa9wNRsgBeZDTkn3G4QNSr0q9HdoXQ6hY20RNUpbdMgwK czU4rT6fBmVOdDjqWWQUgKcfPOcyBkodvjlkCFCdRSRGhOhurOiPLDIgvErZTtuCMbh4ve7G jMuBFjRWFlltl2mkS8742P3tOdua76VcsHaZVaPGamQ6dJhdZEl9iKhEd8vrDjyELCElTaU5 5jT3ESVgjAWE8GjVSjuhYkPcQ9wfjQ1zqxbIGRNpE55FypFMo1IONiB1eqAQJVSQJC2+W4aS kBH2l2ncFCuSlUeNXqNCrFFYgxqCpENilUh1oNkdKNMhClpWpKldEWNXJp35Jj9F1A6WI8N8 Ywzi4rnOfN5ixGunfWnKWQWaKYxMNwsW5rKwrNADZNDWkS056d+gm5cd+bL4ldrW05qi16oX XeVEl0eWmKuOuDFcdioja20lSHVBSkJBBO7NRyzCQOzdQ/CIgQ6DWhYqDGa9rs3jHND64abJ CUzbnmWmtThajiI6NJ1d7HAiyQJF9+gm6nhAQ6tbdFXW598WncNPpDcJuDbsiM3SpoazbbmL U+hTjWZ8VBkQABkc9+NeBexYEZ4htgRIb4letED8Y0F0yJNMjoW2LptvtewVi9rg0CTasjIX 22hDyPtgt2nbR9jd5KhVN+mbOLTi2/NjMtsdMSJDLE5lTsdvo4SWyZCSCpSTu4gcs2cfUMjv odKo4cytHi12m2QFdrpHM3yabpoaHhlgjQohBlDYAbBfIzlaN0X12QbSKTadj02NXos12Xb9 /wDXsdU2hogRUwEMFtOtxJLh0KJBGWR3qz3Y74b1Eo9Kjviwy0B1DxABnt6uXTIA27LcdBaU HCzYTGtcDMRa50qssotXkc2j7Lr9oVOpu0On3NBXbc+qSKRJoRia5MKpS1yugSW5BKUOJKgA pOoc+fLrRNRrCODIjolBdCdjWQw8RK2ZcxgZWaW3iy4yWRsJUekNDY4cKrnSLZWgmcjM36K5 bv7ZHc1Ct+h3xRbmgx7FfmIoho70Z5UqnyXy+iNNU8Gslo3J1oAzGZ3HLHV2o/hSixokaiOg uNIDTErhwDYgFUubKcxeZHc1rtoUWKxsOKHjFk1apFrSZyM8/OmhhtNvuVtKvWtXhKhIpxqa 20tRW1awyyy2lppJWQnUrSgFRyGZzyAG4SrUYwC3BNEZRWurVZkuumSZky0ylOE6dq1GdFIl PO0LgmHh+gFmMWI6cGPx8NsY9fdS/pwjA1L41u0iukHbw01fVULsh0nhTW/asx9DLl2bOZS4 QWci7JgVIOlpA5SWVuLPYIxHgycInI7dEyLs3LQVTnDRp+0fZJtvuiZFlOs2jtAmquOlynYk d5l56RGajTo5cdadz0aNCmici2UEpyVvc0EtiMGUWbmgo4LXKO9s3Ftl2y3VTbGplTkXFXLu nPoUDFjrcUZ7K40p950M6g2hhxwqJUEtpK1DSSTgl7WQxWNklyaXOMlcdw8bBuC5ODU/GoAT UTYk6FXKj0UkPOU+BGksyHUb8tSA8HFZnthKsszlhHg6IBEtz5hH0lpLdJa/2JIlitF4FFMo dO2T3/tDtvbRL2QXZbU9ti7H6pFiVKgO05wZ05bsJ8MKK9ZdS2pD6V69SclBQSVNPcS8NLaw N2cdFGUcWTBkpU7P+EHwdqjX6W2Np1d287XClxukuPUGehxUktkKZpMJunRYMPWAQp3qToPg rIKE5gOJRokrg1umNztJ3ly7NityzOkiXSbiqtTvqtbPKLXKfH2q1eMxVb/rDK2H12zT3EL6 zqRTGnB4LuoQtWhSkltBUuS43m8llfItAbWN2do5TvNLOW87ZZ+fobz7K+m1Xg9sKt3r0bFn nbD2x2mh+fSa3CXqk1p06XHYVbefK1TUSVNjNUhSyF5KJKdaVeINJtk+1pzsmlkWPhWTbeon WneeyDhhWd10rktePTtp7Djsip2vEeagS1yl75dWtmTLUlpDqyOiPxnFaXCk9EBIDyjXsfRz MGzLuhkuDXNiCRv3lyh1tY4MsLYRcKatd8msXdssfcXBTUKXHbhVKJUloUpqLPiSXeozCFKQ 4lRbdSApCiM04Ng0vGiQkDsxLebJcHwql9yRoOxiy6tZFOrImS6FKol701m7XZclhyTTrSuR TbcCXJaQShtUYM5uEpGanwDuSANjHcHS6Vs0xevAhgjcbdIpXoOxymVDa5Ip0myoSNnUXa/Q rKebXOqCZiIc6eWmmUKD46KmVEbW4p1J3ZakKQkoSrV0chl9tQm4ZF5EO3QmAnZL2I7MYakB VNTMfY2d3dXqS5DmS+s+4q/TqhIQxTkB1xMgPwIx8F2UFtS1NghJQSt3QR3eRNGkJX7itsWN yO4pnwrN2IUan7O5N90yRAYvq0YQuCRDkS3H7XnTJU9qHWkMJdVrD7EZl5cdwKBQtSmwkKaA 6F7zOrnGzRsFm5rWq0Snk2S+svY9ZtDiUiLDgQ7/ALhRtOpFq1NFPlylxFUtdNhvNOsdLyEL 0VJ119SXSrcGwlvRkrPwIzjoZknRnPSzllQDRtXWpbNNkBpO0SJQHm58vZtdKqnCqzkx7O47 VNTlUoxUJS6lkrS+IoS6ygFQeUreAnLBFfMTzxsjKawsFuhuYnJLO1zYpZ1Jom1BFn2wIFXo +3JFlUd8ypjqY9HXTJkgx1dGfdQUpWylanFgrAzzVpx4g0gkiZ1iedfMLy+GBOWvSQR222BQ rQlWTX7MDrtj35bcOoU95x9ErTPiJ6Sq0dUhtS0KWiWwtagk5JC0gADLHeBELpg3g70ucRsr s8IIYIXNf//VDS+PF3KiWrzr4sYugRMs/aBT4MWl0G86fKq1Eo8lcqi1KnOIZrNAeezEhdPd dSttbToUS7GdBbWeqSW3PBTC6kUUkl0MgEiRBmWuyT0RnEW6YsTOi0sNAbEEwDMEWObO+WUH PBs0japtUnhRNuWXHtaXtAsy8FtR1aand8Ou0CotnqQ0kxqLS6gwhbadQS8zM1g5KGRG+MRM CyiVw17dBhY8bN7mncC1SqHhzhXULmO0XB7HbJrXDcQVD68XNndbm0mqX9ew2gR7cjmJRLOs uFLp9KjsIKdDMqtVZmLMUlWnN1SYynHCSeioUdQkVHfFhgthNq1jMveQXbgxsxpWyGRR2kiF EIdFdWDbmMBDdxe4A6dkzlCFN3XZUrtnx5U1qNBh0+OiFTKZAb6BBp0JsktxYrOatKElRJJJ UpRUtalLUpR6Q4AhiQmSbSTeTlO8szguTo5iGZsAsAFwGQBNhPZ43K1XcJz7IY0K3XUpIOY3 EcRxoV0YlKNNSClD248QVydrjRdgE4mQFAEHdz45OW6UkR0OpyUBjmVuF3bjvxTqa6pvlTyY 5krcBKrc6NpAe6k8oIxoXLo0LstylODxcJb7A45OXQNK+HS1Ld3CoMJPYqyxxK7NJWChsPeK NSYyI5HO7Y0IXVryM5dDaMxeRYnJOfcDxGNCujYgybkvkbQuNPijNf8AaD57vjVdRFbnrxuW 7ebWeiXNyHcLpP2pxk10rsKT1xb8jkkS52Q59/dOPFZbSYvKqrXzGPi8e3eajYP0aceay3xT CvkbwvNlW9xpzn1tfjSMeKy8artXXv0a7Wj1cWI4B6IWPol48ArzqoM5fVO1OslSOmaQ0rSc 80KUOLs88eQVrqropYa2msqa1P0p9CkZkdDKVb8uxKceay1NGOVejv0WjPRugKjyY6V71KW2 Mgc8x2yo4ystTAK+fXttkx32nZSULQdfV6kpzyIG8jjzOPNaa0xZC+LkuiXGZDaulpGlvNtZ UlaklAJy6pR4xyniyGPM15qlMyZbVAfi9Gp0hcSXmoaCtQTlx5pJ3DPLnzz5OfJryvNQoD9L mFt7J5Kk6m30OFadW8nXqAIOW4cmMfctmlKU+qVSPK6E1IiMsZgl15wlzUcgEMp6gFRzy35D MjfvIxzBXUJMqFxuzqRKTHnFEZpSunzVQW1NgKyT0ItIcCwV7skAg7uxx5WSTajVlqdXIr8G I7MZiLSuUyNDK3HE9UVDWobgU7twyA58eV5RipKmKnItmdGWtiXMqTipaeiqzCdCnugkA5q0 6x2HH2WNSskniiuHrSltOoWiElJPRGM1BIHEoZrII488kgg45rzJEu1kwk3NbFVdkpRDp8xu WXFrCUHoPgonMk86Bl2OI9qUsfEoUVkMTLmyG42bqjcGkNjNJzjPZCaZPQFOOKdVmVuKJJVx nVynPD1jaoAyAIU2meikSbEfiPdMNKyW2rU0Mh1I5ju348rCJpmTlxY8piplmPFWkkugtpCw B3AsAkAnfkQeMgHfu1cvCI1LqECpsNuU91C06QVAJIJ5tyuLPm48azBW4TVrkOazXKdOUGUt yWVtu9ETm22qMrUnRvzSoocUDxcm7GpIC8KIJRFkOORIEd1VSlPqjSEAJ1ul98hDbLZSsDIA BRG8E7tWWCQV5Stc79atOoNsTaNTqS+lLaVQ0NpcSpttTamkvEFWY6kEnVvJJ7LzoryF8I0W r1ul0ykQbdh1WZpQ4mcygI6AwtlTaWnpKHE8p1lK8iDu3pOWNSZXrympc9nVm1JEWJUktOuS YzcvKKvouhtxRSkKITlmSOxGMvXhO+3L8qFIY6VgUNiLDUAhAGpKMslAuvKCVLWrUdWfIBkB yY8VVkks0vafXWJDUd+a5UKalZU50dltS9JGR1Kbb3hOeY3A8+MqBbFKlQkWZWVvtUO32oVS jRn1NqJMVLy9BKtDYS5nqJITmQc+bjGtUrF9aTNt6mNvzrwS29V0JKZtPW70wp1oqTm400kt hKypWRCzmMuXeceHTXlJdOqFKqV1SJUW1GGREissxmp76lNJWhI6G4+oHJI6GnLLfvyG8nI7 BYFJKjx6qiBT9aFpqJBVLkLCCFDVqPRCgDJWR4huHIccyF0C80+HSkl9hUhlmPKU2/IUhWSN Lm8ZkFKhq3Eni96yxk15QS2hSLcg5UylFyfPkOFyXLfcU4dDZyQ3rO8k5chGWQxu2eevEkHa m/JacX0Irih1HQy2cwrSQCQTx6T8fjYrJJyVmuNwaLCt+EhKHDGSJpSdwVyp5OqJ1Z9gR2mh XlJ0dOlhlJ3kIT9EMFNuQ6+2PKxZjFizGLFmMWIgbKLzjbO9pVj33MhO1KNaVZi1VyKypKHH kxnA50NKlZgE5ZZni49+OUaHXaW5Qt2OkZoo7YOE/tA2rbWKPtXYcTZ1StPoSLbjU9ZX1nNM urdTqcWkdFWpSz0RSkhKx1OgJ6nHKDRGw2VL53rZ8YuM1PiyO+QPZFtFt1m0+Eds+ZQtRb6Y kJgN1miSHGxn0dcN4LeZUD2ylKHct51DiwuiYNewzhnc5FEtpINjhuqd8nhlcDrY7T6hI2NW bHqtanslJatyhCiIfUnNTaJkuXHiuBvVypQ4U8iTjmKDGibfOzM9otsexu3dooot98hO0O4a dtRt3aHRYFUtm/beq9LpkamMpjuUeRLhvMRglaiS8yVLAd6ISsA6knd0NRm2a0SLbwRuNq4a tEzBz5qvXDNDImWDtLkWTS7utyZbtPu60r6YiM1ik1FyYwla4D3TEV9l6FJiuIdaWVaSSpJC iCg57uUSFWINxE8m6zW7XysRh2EcK6s8H5iuR7R2c2rPVXJq5DtQqLUpdUTGVoCIfTaJCM2U aM0p0DqiVHM44UihiLeTuUl0hxqlwSptM4QOxfanWjeNX2AVG2L8kPplTKza93GAZUhAGTq2 XaNKbSrMZlSUhZO8rJx4hUZ7BIOmNFv2Vj4jXWy3P7CV7C4f/CEsOmdY7lTpd9QmQERXLrjv TJbDYzyBlxpMJ10796nVLPZDGsTBsNxndpWBeW0lwURGrmrcW5k3fAnuUy4WqkasxMhqLTjE vovRg40QepIWcxzYNqCUlwnbNGvbVwj7l27RKWu7bbo9OuSC3HjSqzRzMjLqMaKHiy3LiqlO x1lK31rSoIBSSQnSklOB4FFEK4mWRdIkUvvUd8FLksxixZjFizGLFmMWLMYsWYxYsxixZjFi /9YNL5cXeqIC8y+LGpXYL4Hixotwvirjx4K3Xwx4W66L7tjk9dYS7JGOS7L0oA3bsalbL0dD TzY0K6sXycaSkDdjm5dmL0wprsdxKB1bau3TydkccXLoAn7FAUEni3Y0K2CWGEJPUkZjHNy6 Bd3qewsFWWRA5scXrcJGegtb+wxxcZBFMSa9T46hvQMcSiGJMco0ZWZzKc924Y1Xdhmkx2kN tqOh9aOXqSR9EceEQGgryliU0QGqnLb7FDqxy9grGi3qhdUzq4xn0K4aijL0fcP0asYvOLac 5fVNz3bHILdySyBxBelfcwOPBK21XaV9xf8AeTWRNXbeHM5FZPx+kY8rQ0Zq7jaXcCVaZMWm TB6ORQO5VDGLDRm6OzXU7TG1+Lu0KS/ke3Elv8djwF4MCVxXZN5W5OJQ5Y8dsnLe1LWnLtOh 41msqnKnbS6fbdUGYozsXM9uSirseVvHkrkYjgnEvZnQ5KAWXn45y1DPSvIj2inHhbCKUjVH ZZAZaUvp/W0kFRbUyOMZHMHon2mPIW4iTQhrlsx6JLkKadC8k6FBKOh5gbt2Sjlx8mN2lbVU 2o1DVFdnNt1GShLQb0BC1J0hXV9xdpv5MeQ5cy1N56461RpTvQ5qnXIytAcGbayFZ5jUgg8n PjZeJJ60u6HarVYiJcQO9PIS2oKdV4Jp1L1qbUkJWlZBHVatxGeRzyGpXkBJ1fkRG6hIo8OD 0GNHnKigOPuuJIBRpUWkqbbJBJPVJUCTnx78eJraUk29MWHXIzXSbYaS2JQDKltkqICgkqKl nIE7siMbBeETrLqzkW44b62UuuMF1CSCR1Ck5FBKtZy5uUHly3Y0fcvKMagtUl6Sh1Tb6kpK l7gVage2tISCchkTlvxzWJwsSZaWy0uQpzQ4U58Q4wNwG4Y1XkJQSpXQ9SlFRTlln2GNZraS +NThByntTC6dShnpy4vj8bBYhhWGRIiSYLgSsLfbC1qBJIVkEjtoZaTkcaRbliSUOyLbQlMa Qt1b7CVhRJQEkJC+IHfuVlz8ueBQZLynLSq0/WolQjSGkKdbSl1p50dE6GtYKSQMkni7HHQl eUGL6tZNFuKo1KgVBdMlyqI7UnHFIDy0utqZCywpRBaUrXuUnenflx47sNixDm6KY4uzaPc1 RqcuqVavVJ1h9yQ4peSWmdaSNZWcyVb9/EABkBjo1YpKbKqNHqtn2u08QiO4iS660lICXMnF JyURkeJAGeeOEW0ryEsXxaseK3MmQ3W2pMVlS2C4ylxtlDCEgJQ1mlJPVHqlhRGN2WBeZKPs ueixoVJqESI3UJlcjym5XTAHQVBLyBkGgMhmlZGeee/cRxY6AzWIWQXXpdWl9KluHGDnRDHW joyFalpGlWpQJG/HgrE+LovEqpTFDm0KmLmua22qhCYTCLbTpQSjoSArPLScjqHGe18LYpGj 0uDR24s9DPTD69DaFLO9C3Tp6IMwQSN+QIx5kvAWSqs0XKbDgQ+s+BGQiUlCHNbylZLKyt4p BzUVE9SEjkyyAx4W6lrszrki7Ia6/JW9HXkzHVES4kxyQkjomkNIOrqOPPsMcohksCRNtqad TKZEeTA6JUZrzkNiQl0tpYRk0VamgClwEZgBXFxjfjwwryUCKZMhzlOR3qUw6oyGFLefUp50 pWroWhK1kkJGvMDPkGefL3WBNPW3KqVVq0qM061TNU3pQApacHRUpDWYIKUjX70Mt3GNSvKa okuzJSn31Fbst0rWrPfmtQJ+jxi8FPQYJQ65x5XlZjFizGLFmMWLMYsWYxYsxixZjFizGLFm MWLMYsWYxYsxixZjFizGLFmMWLMYsWYxYsxixZjFizGLFmMWLMYsWYxYsxixf//Z © The Authors, 2023, Published by the Universidad del Zulia iVBORw0KGgoAAAANSUhEUgAAAP4AAABNCAYAAACGyNmKAAAlNUlEQVR42u2dB5gV1RXH7aJR pHdYei8i0qQvHUFREFjpAgqCILKstKUtHaRJ77D0pS27VBuaxFQTY3o0zTRNvhTT+838LszL 7My9U96b9/aB737f+WLY9+bNnbmnn/M/N930/1XRoBEGfWyQSFGKUnTD0PsG9Teowk22NcOg D1MPKEUpuqHpA4M6XaObupt/qF23tmjZ6gHR9qG2ok37NilKUYquc2rbvq1o+eADomy5sibz f3SNbnqHf+jRq4c4e7lAFL56Tv5vilKUohuDzr9xQew6uFs0bNzQqv1vErffcbvYumebyL90 Vhw/m5eiFKXoRqL8PKnQ12/dIHkdkox/Z4k7xe6De8Sp86dTDynJ6eS5U/I9nTh38sbc24XT cn95BSduqL2dKDwp9yXfXWHi3x2/u+fQXsnrUITxdx7YlVSMz734NWXOXMy/IQ7Hsfzj8vCr 9ljwSqHc5/5jB+S7yj1+UJwxLLSzr6ifCddB0ifT/mBm5Ts09oC1uf/oAbFlz1a5P5iDPas+ f/rCmaR8f/J9KPYGHTxxSFrV2/ZtF0eN96zbW7zOMvzEc006xs+3PDTMku37d4iFyxb6onVb 1ov8y2eLPMzrTSOi6c69fl7sPbxX7mnk2JFi8LDBMtDapFkTSfhoVapWEWXLlRNVq1UVjZo0 ivytfceHxBMZT4hR40aLRcsXiX1H98vrFTeTIMw4VwWvFkphtGTVUjHxuYlybx27dIzcf+Om jUXlKlXEfaXuk4GoevXrGf/eVP6tRcsWYuDggSJjZIaYs3CO2Lxriyh87VxSCHxTQHEvqzes EdMyp4khTw4RPfv0jOwNql6juihVupQoXaa0qFWnVmRvUL8B/cTQ4UNF5pxMeZZNQR+m1ZNU jM+hNB/a8pdWiKx5L4qWrVqKps2biTJly/hOU3D/HBwe4riJ4+Xhyj2eK869dl4KhGQ1G02m 4BDvyt0lho8eLipWrBhK6qZylcpi2IhhUssUGIKU3+H3Eq3hET67D+0Ro8ePFvUa1A9lb/fc e49I79ldrNu8Tu7tzKX8YrFeEGbHC/IMZn/eEMqNxC033xzz3u644w7j/DcVM+fMvGr9GdbC DcH4pgnPQ+NQDhuRIR9a2DlLNGLnbp0NIbBEPkB+DwGTLEIATXH+9Qti35H94slRw6Wmi0fu 9p577pEC4IDhIsCEifAvpUn/ylWzFUFcukyZuOzttttuE126dREvbVp7VbglwLphbwgazvDM OVkirVZa3PLutevWEfMWz7uqHC/FdnaLhfHRNGh3tC9BxOyc+TK/ePfddyekcKFeg3piwrMT xMs7Nom8whPyQRYn03NoDp88ImZlzxIVKlZwvfcyBtNUMUzgtLQ00bFjR9G1a9cI8f9r1qwp /17Gg7nKVygvJj8/xfD7j8dt/7xnDihu24KlC0X9hu4a/jOf+YyoWrWq3Fv79u2L7A1q3Lix qFSpkqhcubLrdW699VYxftIEsePAztBNZDvzoEQ27dxsuCmdPIUSe+PdPPjgg469tWzZUv4N uuWWW7TXudmwIrr37iG27N4a+f3rgvFNc4/rD3jsEVGufLliq1y6807DJTDcAQ4lhxNhlEjz l2dB/GLNxjWiZu2a2vts0KCBmD59unjjjTfEj370I/GLX/xC/OY3vxGqxb//8pe/FD/84Q/l 56dNmyaaN2+uvXZazTTxwqwZ4TNIfp50rVasXSlN1Zs1Zm+1atXEqFGjxOuvvy6+853vyHv/ 9a9/rdzbX/7yF/Gzn/1M/PznPxef//znxY4dO0Tr1q21eyt5X0nx7LTJkXhC2G7pkdNHRbsO 7USJEiWUvw8DP/roo+LChQvi3XfflXuDVOvf//63fK/8/Z133hH5+fmiT58+2r3ddVcJ0TW9 q4xdRcOnCWX8k+dPSfPrhRdniJIlS8bEtBUqVBD333+/fPF169bVHiy/1Kd/X1nUIP20BEa0 p86YZrzEu5T3hPTfvXu3+OMf/yhiWf/4xz/E0aNH5XPS7R8XK0zTnyIRYit33a3eG9pv2bJl 4qOPPhKxrkuXLonOnTtr94aCyTt7IjTmP33xKtM3a9Fcq92HDx8uvva1r8W8ty9+8Yti8ODB 2r0R7DVTuknJ+GgUpCTRzSAMWb16dWkKLViwQGow6K233hIffvihlJKs3//+9+KrX/1q5O8n T54UvXv3luZiIGFimNlrN6+TmipsDVGECvLEhTcuyoCNzqzLzMyUGiDMxXPCctBpqEFDB0sL JFbNz/NbvGKx9ncefvhhqbnDXP/85z/F/v37pbug+s3e/XpL1zLW94plePjUERk4Vv0OZ47z GfZ67bXXpKJT/Wbrtq2lwA4S1Iw743NDPPDFK3NkuslPgAbT9LHHHhMXL16MWSMgMZcuXSo6 dOggypXzditKGCbUkCeHiqNnjsmXHA/Tn+vyPIhG23+fvRcWFvra209/+tOIsIP8CorPfvaz omHDhsr9TzB8Y4QSsY+omN6wGgiuqeI1pUqVEi+//LLvd/evf/1Lmvd//etf5X/7Wd/+9rfF kCFDlHsjSwLjR5XaNVwXgpN7D+9TnmP2O2zYMHmv8Vp/+MMfpPa/9957Hb/fqk0rsffIPt/p 2rgyPt83tbyXKY5Zu3DhQvH1r39dmqbxWD/5yU/E6dOnRbt27bwtjbTqMoeK9gqL+Y+dPS4u vnlJjB4/Rgag7L85d+5cedD9rEOHDkl3x/4Mz5w54+v7n3zyiXj++eeVgnfQkEFSOAXV/Fh1 2Uvmy/y0/bpt2rQR77//fqD3dfjwYRnQa9Kkidi1a1eg7+IjqxiE9DA1EkFdGtzUA8dzRa3a tRzXfOCBB0Ix6/2u7373u+Khhx5y3EedunXEoROHfVk1cWN8fhym79S1kyeTDRgwQDJlItfe vXtF+fLlXe+LAxwm8+PTr1q/WqbU7L+Vk5MT6P51Grtt27aBrjNz5kzldVasWxEoZ2wyUrUa 1ZTmL25G0LV+/fqonw/rzTfflFaG/X4oagqSySA+wLujcEiVZSEoGXR973vfi1hqumCm2+I7 9erVc9xPuw7tpbtWLIxv5uY7d+3sylgEtV566SVRXOuDDz4Qjz/+uOs9EhnGdMWEjYX5YQye SbMWTR2/MXTo0MD3rmN8gp1BF/EElcWDxvd7Bi69eVn06tvLcZ2ePXuKP//5z1G9n507d0au E+05OXbsmNOdK1FCbNuzzZdZjJVWaAj+rHlZDisN8/7y5cu+7oN4FFYIsScCkVZrhPQlcaz+ /fvLDIDf58Vnb7/99qKpTMNiezF7lqdgC53xpQ9lHHIiqW4MNWnSJPGtb31LJMPigLnlhimm Wbl+VUzMz4sYO2Gs49r9+vUTv/rVrwLfM1Fj1b0+++yzUT0DUmqOINwjD0vm8DL5sQxmL5hj HqAitG7dukB+L88CBiEu07dv38h1unfvLl3B3NzcQMEzYgOLFy9WBMTa+CrgIoJPSTB1D0UU QsmSvpgezc59k6f3G2Ru1KiReO6558Q3v/lNz+ufPXvWkRWiypUeAFyahDC+mZfukt7VdWOb Nm0SybbwP2vXru1a8UbtNVo7mpwvz5PAofWapNeiDV4S6LEGsdBGo0ePjlq7EhXHn3YwruHq uNXAI+SJctMz4FaHgNn+8ccfu97D8uXLZV7fD3NQBHPq1CnfQb8nnnjCUQhDWpnyaK8y3O69 ejh+HwHktT73uc/FlLbmzJHy9FrUMzgUiiG03Uz+UBkfXzhr7ouulUfbtm0TyboojnHLdZPC IUMRNCpMTpuAmf16+/btCyXQ85WvfCVw4Ey1Dh48qEjxDZJRfr22L5QFUH4Oco0aNaQm437t C60YDXP4fYb44QQui2jWJo2lharT+ghsNOe9JYsGCQkO//3vf/cUpEG0vBvl5eW5/hbC3i60 sVD2HT2gDfSFxvjkECldpNtIt4G1a9eKZF8EGdEmuj30HzjAV/DEqhE5WPVtDSloQa/Do2Jy a/ruypUr4ktf+pJkJP7X+jcoqDBQaX26yNDougOERqQHIuhhJpdPbhrTnkCrrvQWCwCya040 Nu7in/70J9/7e+qppxy+/sbtL2t9fawBUoD2+8LScFv//e9/xbhx4/QKpEkT6dNPnjxZ1h6M HTtWdOnSxZGlMals2bLiy1/+sutvkvWwf2/y85O1ZzUUxudw4/vqarEJQGzfvl1cL4tKuRYt WmjLMOflZPuOCuMaqDRiUHfnxz/+ceBOvVq1agV2JdCgds04b1G2tHQcwp7W041rxB133lHk 8zBYVlaWqF/fu/tOxdSyknDYMJkiQzBAP/jBD6Qwo76DtGVBQUHg9/ree+85fmfkU6OUFs2J gqsCm5Jm6+fph/ByL2BSVfoaQbZlyxZtzIO6DISA6jmVLl3aNRbENe0FPliouhhNKIxf+Pp5 8cyUZ7Qv9+mnnxbX26KyTJUKkl1SdWrLh+knF4z70yW9S5Hvw8D46EEWGp0WzaA+IgUtQRZm IxrGeh1iNnQOOt67oU3mLprn+F1KaM1aAUqF3SwoXSsqvQa6pat391O6TJDQ+lvNWjQrko60 5u135e52CKVZs2Z5/s7IkSOV+6JOw2shqHWxplWrVrl+l+xQkbqOqlWUewuF8WVw57Q+uEPJ bTQ53GRYGzZs0B7OmXOzfJn8aJMOnTs4gnqYg0EW5ryupl9bh2AILtyDIAv3w37wevbpIS5e uaS0ZsbYMhV0B9JEoyqo6dWrly/hhbZMT08X586dC/2dTpw40ZGSA6TE7sqQwXn62acd9+bn eXbr1k3Zeei3yGfRokXK50KWwyxTVy0Err0YC8Gssk5jZnw02gTFAzLNYj/Rz2Reuu4vQCS8 8NJMF8he4knfQdCVKMZncX/W6wBqcuzMccdeMfVBxrF+ltJot/WNb3xD1g00a9bMkYPWFSRh NZD6DaMcdt68ohbKfffdJw7k5SoZ/6mnn3Lcj5sFRXSdYiWVcMPMp9yWnhKvRZm5quSZ637/ +993zSLYv0MTmEpBxcT4PCxw0SpVrqR8aS+88IK43hdmpa63fXrWC67VbZS94gPbvxe0/DTR jE/u3X6tDds2OtJ6KsYn4u3XsqBVlRoKP81U7J2gGAGxaCrlrEVb1hgG1wWXwR7gg/HHPTPO UYHoJnzYE8E6VXMS7g7l6H5rD4hjqJ6Dm+Chndcen3l+5vTwGZ8Lzpo/W93sYmzeTwGCfdFA QhDn1VdflQUSZoTaKwesWm+//bb8LtFjrmdei86+IGvMmDHqXHLrVkrf14vxo0lpJpLx16xZ 4zC9dYxvz1ZQQx7N4v3gCvjZF2YzFZfnz593NX1Vi3dvtTRuvvkmMWfhXEd9hkrjU+TkZ73y yitFyrKDliwjXHQFZW5FQ/AIrlbcGR/fAVBH1Q0+8sgjgTa6ZMkSada5tefinxHd9Qrg4F64 XYvgGveHaeRn4WuqzFLyu1t360s/U4wffBHEnDJliu9CHnLlaFm/bgCRc/u7pMTVbrnB+GNt jE+BlN8FsAjKj3MYNJDrxvhYSLr129/+1lGHEjrjm1HPsopWVx4sG/ezSPOpKsa05bOGT4YG VlkTpHjwMYMwx4QJE3yVzOqKMeip15n7kvE3OBkfX/B6YnyI4Qt+GN+vqe+1eCf49uPHjxet WrXy3CtnCMbcvHmzq0lNWtRqDsOcCDU/pj5C7W9/+5vvPXBGYcagi3oKnamPRaxbuE6gSsWV 8QteKxQzZmcqb458opcJRlSbGEC01UwUwFjNJ6qbor0W+WYvS0IX4X+wzYNa1B5iILRy2nPB QXrSrZow6L4QwEHTeSofH6BSIt/28wDjk9oMU+PrzgrFSrT2+gXdJLX1hS98wXEtBINdkeTm HVQG9+yMDyWiv4SsiD2l6uf36Ua0fx7E33AZ3zjswF+rbo5cqZ/Ipe7FUTxDlR/+OGacDnnE jI4j6XRpIgQEDR8mMo/u8OBGuK09e/Yov9fK8PM5JEHSedxD0HQeggn8Nrq7dM/DGkjCXyaK HDSegcCmo856vfQe6cpYBhbNgIEDiny2adOmgarpgizwBP26AFYLhGCqqSSeeeYZR7xAl84b M94Z23GLqrMIPNJ4RaGRSbSd4774XRT56IBWsViCKAfwFENlfKS9vTDFpCNHjngeLloQVd8F HAJTx+63z549OwKQiemHBjar0lSIK6QS+Q0VXh0AlKZGxIQnvuCFB8ADV5VU1q1fV+Kv6dJ6 pDs7254T1wnq91kXYBtuhx3JH0vVor1wKb1nur6AZ7GzgIdgajS/y77cAsKqGgPzTHgJAHxf GMrerENJ8qGTTvAKStBXrlvliNB7ZWQoPNKhRftJ5SE0dSlkL+U0Z86coqW+5cpKoabqLYmK 8c0+7RppNZQ3SITWK3Kv+h71y7pyyP/85z+y/5iDYdWWmHOqF4/57qZVQWnFUggSFcZ6UN33 ktVLtV17qpJdgmUg6ES78H3dDjmQZdGuAwcOOPrOFy1frBygyhmgicUyclkSgjjIIg5hlkij gbEYideYqMJoUf67UycnqAv1AJwJkJXQtH5qA4rc6/ChsolKdcYR5jVr1XTUFXghRKHdldah obC8ovu6kl2EsZvbhuC0x8qoStR1VsbE+Iz+Ud0kDOq2CKipvuenBVFVERbWtbz8TBXiiRfj EzQiCGqHoyLFk4yMjythByIBfViXucDl44AVmdpTubJvVBnMUxB3dXvB19UBaEIrV650BLg4 XyrYLVUsYNma5dqp0DTpjBgzIvDzRevr7hltjtKxL5gaV053r/Pnz3f9TQSf/TtTpk8Jt0nH i/GRzm6L2n3V92jNDLrQDEHznYlkfOnnX7koevbu6dD65KGTifGJI9gzB7hzbjEM2nKnTH9O CcDhZ9GnHy00OpaFLsoOAAalr24zBTDzdbXsZgwDAJZrY6Qj1KNHD88YDe3HbvcOCo91oIZb 3z7WqxfOgh2DH+wHNyyF0BkfKerly9gDLLEwvo4J/CLVJoLx8RdXrFspbrn1FkcQM5pAWDwY H/N1xIgRjjLTnJU5ys48a+aCya92t4+6C78Q2gR6CSj6DdxhIaDV/YBwsC9iByrGYpwXMRg3 IA4sHfr27ULbq48AgeSG9R8k4+TFTyg/u7vbul1r16rSuGh8rxy+ztSPhvGBHkp2jW8WOz38 qDOgmZGRkRSMr0Lc7dGnpy+cfcz9uQvnOgBYEGx06AXJ3ROzwWLMzs4u8rzJZPCuKboK2p2H GWxn/Bo100Ru3iFPRFrOOa4OLk+R4i3DlfCKZZHD50xHg8IDECyQYV5BYHjN7taUM77L+HS3 vRWLj0+9tep7pN3C8vGnTp2aVIyP5iCnX0YBVBI0HhE24wNk6UQYLi3PgB9ASglRZQi2Tor5 cWi9aOHSwwDbRFDYsxRo7NnZs11dmKK+/nk5aFSVKfBT0EPxlapjT8fwuAl+UKeBYgfa234N Kg7dLJmYGR8kVtXNe6VzACrQIZMQvXer8sNaoNHCaiaqmiJI+7j5RUTV6Y8Ooj10Uf2cVUt8 YfGhPecvWRAzOlGYjE+Vmwp3gBw2sYkgQ0I279yirKeIRqDbC4nw14MuzplK24IGHARFCc1J yk811nvQoEG+BRvWDPuwD8yEqLvAJfELM8/ZJtbg6BqtX881vRxKHr9rdzWoJvPe3Bb5WJWk gvAz7UUnmEwwqpkfBY2Ez5mWhQ5xFiQYorz2tXHjxshUHfxFrgXyjJvPSFpJhYCTJk3Gg76G GCAw+RwS2e6T4U+Dce9HEKmw8azkp4+denAqCFW1CY889khUI8QRfotX5DgChLgAuBJBR4Jh opuMEST9yXvEQlBNTnqoUwdlFaKnYLt8VqYu7ek9E5VHFamP16LvXlVCDtMDJXbm0tn44erj 1wGprDp4PAg/0titicYqDYGQchMwRHB1RRzkda3X0hVHgKzixvgqTDM/lXuqHv1Lb10WGSMz tHBZXtVh+HUqrWGSFz4bPfE6wTtw8ECZxop2eCY58YVLFyrfB/XnVGLGc1H8pRuhVbtubakN z0QzGu3aCC00f8PGDZVFRGGAp3q5mzR4qcBsq1SrKg6eOGwIqIL4jtCC8TPnzNSa7H5GQemm uPghtLTVxEI7BIWmClJivHr1anVJaIf2gSfsmpNy+w/srxV8bl1Ysazjx49r68BBAg5jYi5V fm5DM1esWKEd8x3Loh1W10xFhSUBLzeocL+gsvuO7HP0X5hEiW600GBuiwyJvcbCKnSkuxlg 8lH03XmAcBgPsoIGANIvGCJlhm7DLFQFHaQDVbEAor72fmQvTDqaOby685C0DDlQXWPOwjmB HrhV8yMwHh/yuLbaDIFEdiLWqbnsj0i5bt46Bwc0WQJCYY7Jzlm5xHAlymvTVKDV0iYby6IS jjgPHZs6QcPoK85qWENQZTxj1xbR1Fa4ZLVs0MxUHLrFrPxYL1QlEv/RAa1Si0BlqFcwL/R+ /B691WOvqZP3u+hGopgFiaZqR8RnxITFt8XXdltoEoJbADXUqVNHiecGlDHAhX5bVhFiKuYE u5yqvGhHjZma/6WX14qOXTq6DhTFfSL6DwN7pXh+97vfyc9hpfA9t/x47bp1xNpN60ShIYRi HY9tN43ZGzn+nn30ABvEGHC/6J/gnq2BW53/Ti8CFhFnwm0OAlmnuYvmysm/MjsR4uRjrofy e27GVHHbbbdqAUNwqWiWYm9+EHgQYgh7+Id0qE6YwaNZc7Ok65Lvw6cPnfHnLc7WQiV5+Zqq hXaz48NH01pqZQArAU8UdAHaoZtL7obAE0SD4FdnjHzSV889aUU3H18l8FQC8MlRw6UGjGY6 kO8DZjAI+8vOme8YTKGDkXbbm1dnork3OiIP5h2SmjBUgWYV3IZA4for1q6UuIR+SoRROrq9 qSbgqqjZ/c0lzgNWVbQWWkyMz48i0XWYe0GbNZJxoYF0dd8zZmWGxjTm+DEGdKqmsoZJLR98 QB5WXBQ/2YhQ9mYINs4UMxX9dNNFS9UM0zdz9kzJFInYm1m2jDVBtiYoWEoQQnACbMu+Yj13 MaPscliHjx6h9R29inmSeeGfgeqi2pusjjp6IKZR4ro0KRpywbKFkkFxJ6KtZbdqwAoVK8gM BJqXAJVbGW48CMuCAZQFCDfDtQGrH/80aDedrk+dVNaz0yaLo2eOBQ62hkEoQbT/5l2bRa++ vUWNmjWU49CDEhWDterUFo8OGih27N8pg69YGjFbYmHg6vNSq1WvpjVLowHKTIalmrJqxWkL UgQSWIsYEh3mJIawav1q6aviWjRt3sxRPqpiBDrm2nVoJ+YbjE6jye5DeyLXjJfpG0S4wZxY i1g4ZAD69u8r77lq9WreaLvNmojm97cwLK4Zsmd++74dkWBpWMHJqH3/a8KNsWOg9y5dvVQM HT7UeG9NRZ267i4YabpGjRsZ+2tqaPYJYsmqpTKICH9xTeIKx0KKU4QzSccw46bOmKrdEOWK QRFninsx/EA3/LNB4wbyJSTikIFtiAUA00IIGw7DQsMi0BGMwDsxv8P3E2X2BtWSCIHI3ox7 phjKbW8btm6QsSXcFHNvnNPiFmaqvXFGzL0VXFMSS1Yt0e4NAS2FIvu79j05Aqsw/L2Fwvjc GBtt2Uo/HTQanLniWlQOugGAAsccT23vJ6JsHgwVhe1+JJph3PaGRr1e94ZwwuLS7Q0XLFH3 Et60XENS7crdpTX50Z7Tp09XQmEl0wLMkAIkHdM/PmSQOHUh+TRMilJULIxvpveu4pTpo7YU kQSBKE7koliCPnLdvXft3k2WRCaj2ZyiFIXC+LSQkhIJalKS12a0lNds9GQbpElvtVsFIakU ovj2kk8v0zRFKUpGgrfh8SKMD9QQdfigr7gFWjDt7cxvtuyCzOrG/FQ0RVuYE+YCAQeYbrfc MnUKqzasduROr9YxHHZ9RilKUTISvA2Pw+vXoMX85xjrNah3FZr4fFHTFzhfghh07+lKDk0U E2rlY61Fj3bR763rsY8gvzzQQkpG3Bh7KgXrxo6Zn6IUXacU7AuAGlx885IyggmQA7lIr2om asmjmScX7aLtFQAFr72RL959cI+y2IV0EsMKbrv9ttShSdGnj/ExkanXV3YH5V/VikvXLNMO GbDj6oeNlWdd77//vsws6MZe2/HmqAJTtXGSUjpkmPjlNZ1nKUrRDc/4slKsbBmxefdWZW4b 85hAwrKXlovKVfy134I5z9QTGmpwA4KOQrZ26gEZTbceHVIqiCk70dM/eNgTsgrMEbzMz4vk kRs1aZQ6LCn6dDO+7KoymH+uprAF5icNRrfUnAVzfXVpmbl/WlIBV8AaoOkH2CF7x52VQDXl s7Sj0pvPUES/e2AOHGWWBPEcefr8qyAMVJZRfpk6KClKMb6ljnr9lvXaziHy35j+2/ZuF916 pCfNpsuVLycyZ2fKAJ6utxmmJ8hXXwG4GBYhpNzaNiGGUtqtI/NvjJPygh9LT08XaWlpCX/G DRs29IRS4774O8i8OjQlxlCRhTEFPRgNlITHs+PPL3HP3Av3ZN4fk378jG4H+1H3jpOe8SWy SoN6UisWavqg0f74zZSdUvpKh1ZxvSgE1bCRGRJ8UcYoCvTwyjSUNGjUMK73w2w4r0Xx06ZN myKMAXyZFUBTNVSSuIb1+0FQisIikIHNxQBSVc2EFUnXDsiCm8YodF3Px3vvvSfrQ4rrLAEm wjgw3cLd1MWWyHxZQWEAWvEzAiypGB8CiZRedfLclLe69WjDUDMMbdunf1+DsRrEfYMVK1UU nbt2ln3NG7dtjPjyqq4niRdv/H3W/NkiLQHMAhCDCfjJ/wJNBbosTEOBkRWdxoSeJmjKCG9z gWRkbQdFe5rFUmAU6kBF4k12IEru084IwJ2bAswqGBCIwFiZi9gPKLq4dSAKg9ps7m/YsGEJ 31uNGjUiEGLUhYDiPG/ePLkf65g0JuKoEKb69u3rEBReI7iSkvEjk0Ufaivz/G4AhyaoAAyG FUAbI0IARNSw7oNe9Dbt2kgG3ndkv+xpdm34yL9a0shs+7ETxibs4VsZn54Gu9QfOHBgRONZ JwhhuVg1BiPEZS93yZJygKO5OIzFpRFVCLRW3Hwd4+OmWPcGSq+9a5LR1+ZiWKcKMjyehKVh LtLSdiyEt956K/J3c0S7NY7F9GgVHF2Q+FRSMT5E9BugQ8xlrxp3s3vJbGFcunqZmJo5TUIN 0YeuwjRXMTkgiOTgAZCkDXL3ob3SlD97rc7eracZK4UAJYHIIRlDEnqAvBif+XIm4zMb0I5x aKIOY86DRZeTk+M5XKI4GZ+9WlFxVYxPNsbcM+a8zpffvHmz9KlhMj8+dbwY/+2333Z0dlKn QrAZ/92u8cHVA1TTHBgDTqK53KbnJj3jm6CUz0yZKJmJwhedaa0CorT2oQMsyMAGt1JEACf4 rPW7foddYHWQu1+xdoWcrZZo5rAyPocfwFBrYI9DZTKACp+N2fZW7HwGkZgMxveLM/BlZXz+ 20Q2ZiaCmWZVMX5mZmbke8xRSMaIOOXnVkhtoOURQsRWzGAmA1NU392xY0fkewg56/h0xsPF ir5UrIz//5r3imLUuNEy+Cfx2wN2uflpiAnaOWfOfUMgTXnhOZFWK63YDpCV8d0WjN+mTRtl kMg+RYfr2afgFjfjA2fWrl27yP8Hns0camIyfqVKlRxTgfh7sqbDiMojmFRj2/g36knsU6JB pwIQ1vT/TeFgjQsQ37juGd9qjjOiGA2OCe7HAogHKAIMT/yBykPgjor78HhpfIqaTLMQV0AV ncfMNDW9qTWSgTGsjD9p0iTHv1FCDWPYGZ94hbm2bt2a9Plwej8IoALJzrBM+yJOY34WaDdz TZw4MfLvBChN98ZrXNp1xfgRKVmtqhg/abycTEJ+34Qaike/u8wwGAKGPL2JX0YTUTJV4Hn5 +BCRfnO9+OKLnrPzBgwYkHSMb05LBvvAnJNIAM90VaymPgzhZ2bgmjVrIj4+/nQi92YWmKm0 M3UTCF/rkFJzmIs18Er/CPP3IHAhrBDxqhmA1zXjR6bjlCsrYZeZvLJl9xZx4FhuEVy1oCa8 DBJacOoKrsUHtu3dJttrwZMHlTXZtIUfxicyby6mq3pNy/XTjFRcjC+n8o4Z45g2a2V863gz SrBVsQpMZus0pEQzPq6Xm6Al3WcuYgH8G4Va1toKshGffPKJJPZpHUFHrOCGZPwicMIlS4oq 1arIqHzf/v2uYQIsksLACiCpIwJ0CAkyAkT0R40bJUtsyQiUKl0qqc1EN1OfyDHmo5VJVGOS rzfGh7KysrSMD5kugPm33NzcyHPJzs4uElhLEJNoC49IwzHK3fremPxjLj7Ld8wUJTUI1Fow IouIP8R/EwOhJsAUeAlIUSYnUyAMml1L00EwM3UC9MM3b9m8yL/Xi2NZbTzJz5Rha2Rch0l/ 5cqVyOd0k2MTTUeOHNHmsiF71Zs97WVlft3CxQkDyz4oMSqLugqvRQCP2Y+kG62BWh2aM583 F5bRp5LxPw3UvHlzmbKDCaxEDp6ZajA0fixpH7c0DwExvgPhYybD3ubPnx+5J+7f/nfGfrE/ /o6frvJr+/XrJ5u07IMo3333XSkY3EBf4k3UF1BJqBrRRtUh+XnGg5numvksMjIy9MCuhsVn fm758uXxTu2lGDBFyU3kza3ZDmbSJcu9ob3tjVZYBLFeF6ZPMX6KUpSiFOOnKEUpSjF+ilKU ooD0P6+Z7MyYYwj9AAAAAElFTkSuQmCC *Corresponding author: rrazz@fa.edu.luz.ve Keywords: Use of trees Anthropogenic activity Greenhouse effect gases Carbon capture Agroforestry and its vital role in climate change mitigation in the tropics Agroforestería y su rol vital en la mitigación del cambio climático en zonas tropicales A agrossilvicultura e o seu papel vital naatenuação das alterações climáticas nos trópicos Rosa Razz García* iVBORw0KGgoAAAANSUhEUgAAACEAAAAcCAIAAABgYkFLAAADwUlEQVR4nK2WbUhTYRTH5/bs veXm5ubLNHWpNQsrLbFXFvSpjEiIIIikL1F9KKpFZfWhLCoiifoSRG8E0ZeiCAorKZdlZirV pES37qbuqpt70827t47eul63XWe1P5fL9pznOb97nnPOcy+KRCIsZgVCowPuD4Pe9uHRry6/ KRwJUCaZsEgmKs6UVGSnruKw+TM4QUyGMWLwG3631/6U7peuEd8PuGACO4WXK9VpVTtThfmz ZYTChBG/Z8TvMnmPUjhCmEdeYM7XhYrq0qw9HDYvAcPjtxjMtU5f92y8TycFvg896HMZKvNO K8QljAzc8/mduXY86PxbACUvYX3VvXdtwcXMuRVxGC6f6T8BpCCgt736DUU30kTF0xiQA0My ADTM0Y0L73M54ilGm7Xe7TclBUDKFxhswc6vzj/7mwG71GN/nEQAKYvzNSRYJVk2wfhiu0m3 lWUdkYtKGBYmkJfoa8ZOUH+hByYYRNDd52qizwPAXEE+ZKjb/nCWLQIqlG+D3YeF9EGbp8Xj tyKT43msI3/ALuDKRVzlp74L4UgwIUCbvgsAwdAY4oiiTP3u9wi6JnZN78gTqLGlWQd5HCnE Dp3M5J2dwl2uPpGTquuxPxoPObXKmqgJNk8rcvi+x13c43gMd8DoCq4ZzHpYHxewMvdchmQF ANoH6rXKXbFzIEMoEPIwPSOFWZdf/8Z0IApDAb7ht7qGbjM5gZZgPHcpjJfoX5N3SVdw3fBT Dw9FjvM4kpW5dQpx6UfLGcz1cmYnCRggPkcK9zl8NWAgGve4GUYgMrKE+EiW0EMChiZtC+yV zfOxx/GoPFsPrjsHri9I3yHmZX+yXlCn6koz9yO2eIa9EnKVSCFaPDz2ZQaAxdXYaq2D+oYg gLEipxZapxk7jntbMVcDpKREVSNAUsh5XCdz+NlIKVkWy0BsIZS8VlVjxG8Z/zwj7FJj7775 8mrM2eDwdbEmz75m7Nhi1V54O0F/jAXwWAbEgDTyTUb8TpShSLEd7u39V8jSogQ57xi4Sh+B Du20XfUSGEQcNw54DSOIJUNSAU0fa04XL4Er7spYwdcFeZLTBXWRJi6eyLlGXkVnDI12/J7B z5slgDV5mPsC8CEx7SVdqNjKIusqV7a+e7hs0NtGGpiy97eSCgs18s0sqnYr55181rUjGB5N infW5CmwOq+Ow+ZOMUQ8ZeW8U02mo8lilKsPSwRq8vdUD6qla8rUh9qsl/8fsChjt0ZRRf2d 1udF6dUCJGu1XCRC7n/zzk5B5Tl66Af64C9MJ7S7N+vhvgAAAABJRU5ErkJggg== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAQAIQMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAABAgMEBQYHCAkKCxAAAAADAQIjeQAAAAAAAAAAAQID BAARBQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjEyMzQ1Njc4OTpBQkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AQADASZ3AAAAAAAAAAABAgMRAAQFBgcICQoSExQVFhcYGRohIiMkJSYnKCkqMTIzNDU2Nzg5 OkFRQkNERUZHSElKUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF9y5AiaSJUzmkiIaDOXFCIUJlBQDCDijAPB FGFCfAEAQHILikrLSAkCYAICBggIGgIQwgcBA07FFFYROELaFsgpqgOIaDIMaAjDBMyeAGIC BBIoBhQjgpCapB46jaGYgBPqPqK03POBIiaavTTSIUg0DcKc5npKCJEDQOp1EqQiICIcDWVC gwMaQkzMKEdOiJQUQUc8EADwwUwEY9SAgDNToWhaoDD7z+y4U8CSMBdMAQABXXAVw24CByTz FJEmK6dmOgagaYECDEQQOQMMhMxGIzCpkmRJAPCgBrQhcwhCvhCvhOrmeA+88x4igiUlBACJ AHAAcDn0iRAiBgHRxzwcZ3//2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAACBQEDBAYHCAkKCxAAAAACBAQXgQAAAAAAAAAAAQID BAYRAAUSMQcICQoTFBUWFxgZGiEiIyQlJicoKSpBMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECByttAAAAAAAAAAABAgUAAwQGERIhBwgJChMUFRYXGBkaIiMkJSYnKCkqMTIzNDU2Nzg5 OkFCQ0RFRkdISUpRwVJTVFVWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGS k5SVlpeYmZqhoqOkpaanqKmqsbKztLW2t7i5usLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF0zaGhJTLGZRoj0gKwpbJikIKkEQ4wRRQjD jCiACMEAAhOAEY859THgToI5do+CxnGkmlUJEmwRIAGABCYAdCAEiQQmizQQEJGDBoDZmmNO TkhMjdGxOTkY4QhFK4gwRCuICQCkQoQC104+QhChb0Phdo7DuTAiioJwQgkkATAkFKEgOSJE ALJosWzhIlKLUcI1ROTilhFSMSyi4mFCelFckGIz6SkhAeCaBQghvHUrChJgBZIJgoQGcQhB miCiRQRLMEjMNQhN6jU2RQRgV0ckZGOXEULEAJaI2qEmFJEo5LEAAAADASWkIGgMgA+1xPLS 9CsH0piYIKkADYlmFUA4ZMmWcDMZOPVyIjSlJwRYDpF40J5Ifkf/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAAEBwECAwUGCAkKCxAAAAACBAcOhwAAAAAAAAAAAQMC BQYSAAQHERMhQQgJChQVFhcYGRoiIyRyJSYnKCkqMTIzNDU2Nzg5OkJDREVGR0hJSlFSU1RV VldYWVphYmNkZWZnaGlqcXN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEDBidxAAAAAAAAAAABAwQRAAIFByFRBggJChITFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4 OTpBQkNERXGBRkdISUpSU1RVVldYWVphYmNkZWZnaGlqcnN0dXZ3eHl6goOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFP0vJoywRo0QszZ8IorCrFCxyjIhVDRw0ie Pk3aAKYAFisK1BEjdJnhyLGTAMiSBMsAAJB8IQEkhigHARp8okPBQIS4gq3ZqimKwrCmMWja IiBgpGC4KwkjKNkiYwJMBMYAYEinAAIAHX4/ATZanCGmUE5iBmMxgMRQSLQgLhQTSRcSEkkJ JEZ6RYYYqWAAWlpB4qiEKdKhlVUYs0ZYGXNEVxZleTCnUpEUPFBCmIjhJMkABMWSfr9WBWBT BWITlAiZ4cmIMoJiwkGBAAIIAIAhOgD6HAnSnxIUCWFxIClDkLnCpkV//9k= /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABBAUjdQAAAAAAAAAAAgEE BREAAwYSIQcICQoTFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4OTpBQmFxQ0RFRkdISUpRUlNU VVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEDBSpvAAAAAAAAAAABAgMEAAUGETEHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdIgZFJSlFSU1RVVldYWVphYmNkZWZnaGlqcXJzdHV2d3h5eoKDhIWGh4iJipKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFznXkiOCWOoJ8kByEWbRwPjcgLLPQQQxQAA RIYEEEQQSIMS+ZSTxwmF4JA6LOhFio4ATQARgAGiiwdFBCLCEqvRocqQRtJNEtGxsGYoRpOk GohsJAFNTYvoSaBCFiCn5YKASElGVMRTGS2iyYWoQEQrDwk2LVxSuE2Gcq0YaKigGxJsTOSp 2RxGIn5OE6Kc4azjTcRoZsN4Y3EHhqJQ3mwME9CFBPhDWbAAgYJuFMMC3ltMYLiXJIQkhBEB CKCJRYB4WEIDQTRs0EAQFPCRI0KFGkThSrSHUkKAc6dCSxCms3hDo1kcbxTUCbQgRAQghChB RCxBBRUKEyiDJi0CS1l0HiKJFIoAgUaAE0anJUAcEIkUEBSpCBRRSTBIMhgTaNTWODaCMRuI GbQwhT4MIQ1AlhCoG8UVCZd8spnZLAW8ZRQgAQogSbCEITYViBXKmxA+FEgK/9k= /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAACAAUwawAAAAAAAAAAAQIA AxESQQQFBgcICQoTFBUWFxgZGiEiIyQlJicoKSoxMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAACAklVAAAAAAAAAAABAgAxAwQFBgcICQoREhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFjDjjEwccmDhLhxxgjDBCZCEJUJCTA4cEOG BBBFgiFQigDQN9HSNOQM6jkXNGkrgOFQNeBEmQqiCCWRN4GGFN6N1GFCEUYU1pPCAIFIIAgJ gxQIAkW8HWDAhR0BlBAeYbNgRJcOogRK6OxRxjXmjOEG+GoCXm4m7GyCANWTTJNHJA4xLATB o0YIGcipB/4cEbIwDRG0HUYyDCAVgXcEKCUFIMWJEGc9ACgxQlACG5muJYghLENQMKIIAAoo CrMACkAimQg6Q2QoUAAAMeACQysCJ//Z /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABAgUxaQAAAAAAAAAAAgEE AAMFEUEGBwgJChITFBUWFxgZGiEiIyQlJicoKSoxMjM0NTY3ODk6QkNERUZHSElKUVJTVFWx VldYWVphYmNkZWZnaGlqcXJzdHV2d3h5eoGCg4SFhoeIiYqRkpOUlZaXmJmaoaKjpKWmp6ip qrKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECBTFpAAAAAAAAAAABAgMABAURMQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVZFWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFolSG4I0KiPxoAKXAGo5JpKBFFMiABigiSh CUioDABgmhwbAYEihQJQIQEFYoBYJF9Rg20bI1BCZ1DIuOSTWBQqY14JEwJZQgiyZVgT+Vwq YBcsfx8TgS9LJoRFvSqCT8VEdBOYrNgkQBTKCRXhuqSxCmlUKIaaJKmGppwpA2G4BMFZxNDJ ggpMDJgohguKKyEVKbnDYCUJwYJISyRkaECQBiwhUQhmxciITKgEAmKAQ8KcaKKeOynjEdBk 4IQMcjclE0IQ+mQwBAhTM3IeJA0eSw8So2OBFKIRIAmIsAAkASMgCAj/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABBQUcewAAAAAAAAAAAQIE BRESAAMGByMICQoTFBUWFxgZGiEiJCUmJygpKjEyMzQ1NmFxNzg5OkFCQ0RFRkdISUpRUlNU VVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECByttAAAAAAAAAAACAQMABAUGBxExCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpxoVFSU1RVVldYWVphYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGS k5SVlpeYmZqio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFDUbZEDch0PCaPQ2Ckh6KEj0yUUZFjgBsWA EAaCEIIMo5Opk8pY0SJcY8CAcCNBxwoQhsWRILyZBEBHBSJUeUNyRPI7QTHYkaDcItBA9KSN gBALKPoDQRRZ8ZUDECjpQaLyJobHiTHBAATZLiGgTqqqm1VVzBDBB4U2JOCJ8FGgfD0fRY7G CBqDgwJIIoIsSPD2MzR+ECwhLCLEhFCwsouInGQpkkMAMUcGSSGABw6hxBs2EILJRDYp0h5H EkEEIoA+jkeE6SqqCQHYscD0khwJU0/nxlCgihYQCSymJ0iAGIBTExHUyOkwPlRJ1DjwYooY YQhsIVVFVRTREIUUUIJVIUPI8hCNI0YDEjjyNT2KPIwG56Gx7CLECQigiT0IAIAEISnUoByn SRKSSpKksAMggiGgQRARFQQ2aEENCZggyBAEEENEf//Z /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAADBwECBAUGCAkKCxAAAAACBAUUgwAAAAAAAAAAAQID BQYhAAQHERMICQoSFBUWFxgZGiIjJCUmJygxQSkqMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECCiJzAAAAAAAAAAABAwQAAgUGBxExMlGBCAkKEhMUFRYXGBkaISIjJCUmJygpKjM0NTY3 ODk6QUJDREVGR0hJSlJTVFVWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6goOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFjUtxkivLQzxKaUIQouWZREYAAHFFTqYhGH ABRDngeAjJwBejzj0E/MvlsDYeFMCPTgoJAOoQBCehRhNgRoSCB2JACSm0BGGyCFEQJAQBAI vwkMMkV5dlujZeo+EJKEz45EMi6LhFagSYdbBFJBgp4cWqcAEzymCnOTIKMYaLYGw/HpOOhV hUIIE6SwhsJs0TBpRpgm7CREDMSATBNhhCMwEFvIjSP/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAQAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAABAgMEBQYHCAkKCxAAAAADAAMndQAAAAAAAAAAAQID ABEhBAUGBwgJChITFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4OTpBQkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEBAz5fAAAAAAAAAAACAQARMQMEBQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF+ShMmWJjkiogpUkVFCIOIOAAwowoQGggCA JwIAgMSGACGCKCEIPEFIiCkBgNiyhsoXCBk+E8qjJ9BEseEoegYZLHmEHAE84AnAmxRRhQjA b24AxqQAAZR8tNKglElHEickm4goIordEFSNcEFEHiXEcM5k5JAAEQeINb9CyQHH1ILz9k6n 6lD0iEBDYwRTzjiiJZKgNmghCIME0GaGjJaLPCqhMymyemglxQhwkFFEE1gozMm5JCBhI42a p858p9Z8B4SR9p854iZ4DxEXCTJgbwhbxhhgmwjBDBhCEITK+FFFEkzKNJuISJNwBAQRGwTM itoosqKM/ggCAiDhBpoY9jGN/9k= Larry León-Medina iVBORw0KGgoAAAANSUhEUgAAACEAAAAcCAIAAABgYkFLAAADwUlEQVR4nK2WbUhTYRTH5/bs veXm5ubLNHWpNQsrLbFXFvSpjEiIIIikL1F9KKpFZfWhLCoiifoSRG8E0ZeiCAorKZdlZirV pES37qbuqpt70827t47eul63XWe1P5fL9pznOb97nnPOcy+KRCIsZgVCowPuD4Pe9uHRry6/ KRwJUCaZsEgmKs6UVGSnruKw+TM4QUyGMWLwG3631/6U7peuEd8PuGACO4WXK9VpVTtThfmz ZYTChBG/Z8TvMnmPUjhCmEdeYM7XhYrq0qw9HDYvAcPjtxjMtU5f92y8TycFvg896HMZKvNO K8QljAzc8/mduXY86PxbACUvYX3VvXdtwcXMuRVxGC6f6T8BpCCgt736DUU30kTF0xiQA0My ADTM0Y0L73M54ilGm7Xe7TclBUDKFxhswc6vzj/7mwG71GN/nEQAKYvzNSRYJVk2wfhiu0m3 lWUdkYtKGBYmkJfoa8ZOUH+hByYYRNDd52qizwPAXEE+ZKjb/nCWLQIqlG+D3YeF9EGbp8Xj tyKT43msI3/ALuDKRVzlp74L4UgwIUCbvgsAwdAY4oiiTP3u9wi6JnZN78gTqLGlWQd5HCnE Dp3M5J2dwl2uPpGTquuxPxoPObXKmqgJNk8rcvi+x13c43gMd8DoCq4ZzHpYHxewMvdchmQF ANoH6rXKXbFzIEMoEPIwPSOFWZdf/8Z0IApDAb7ht7qGbjM5gZZgPHcpjJfoX5N3SVdw3fBT Dw9FjvM4kpW5dQpx6UfLGcz1cmYnCRggPkcK9zl8NWAgGve4GUYgMrKE+EiW0EMChiZtC+yV zfOxx/GoPFsPrjsHri9I3yHmZX+yXlCn6koz9yO2eIa9EnKVSCFaPDz2ZQaAxdXYaq2D+oYg gLEipxZapxk7jntbMVcDpKREVSNAUsh5XCdz+NlIKVkWy0BsIZS8VlVjxG8Z/zwj7FJj7775 8mrM2eDwdbEmz75m7Nhi1V54O0F/jAXwWAbEgDTyTUb8TpShSLEd7u39V8jSogQ57xi4Sh+B Du20XfUSGEQcNw54DSOIJUNSAU0fa04XL4Er7spYwdcFeZLTBXWRJi6eyLlGXkVnDI12/J7B z5slgDV5mPsC8CEx7SVdqNjKIusqV7a+e7hs0NtGGpiy97eSCgs18s0sqnYr55181rUjGB5N infW5CmwOq+Ow+ZOMUQ8ZeW8U02mo8lilKsPSwRq8vdUD6qla8rUh9qsl/8fsChjt0ZRRf2d 1udF6dUCJGu1XCRC7n/zzk5B5Tl66Af64C9MJ7S7N+vhvgAAAABJRU5ErkJggg== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAQAIQMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAABAgMEBQYHCAkKCxAAAAADAQIjeQAAAAAAAAAAAQID BAARBQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjEyMzQ1Njc4OTpBQkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AQADASZ3AAAAAAAAAAABAgMRAAQFBgcICQoSExQVFhcYGRohIiMkJSYnKCkqMTIzNDU2Nzg5 OkFRQkNERUZHSElKUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF9y5AiaSJUzmkiIaDOXFCIUJlBQDCDijAPB FGFCfAEAQHILikrLSAkCYAICBggIGgIQwgcBA07FFFYROELaFsgpqgOIaDIMaAjDBMyeAGIC BBIoBhQjgpCapB46jaGYgBPqPqK03POBIiaavTTSIUg0DcKc5npKCJEDQOp1EqQiICIcDWVC gwMaQkzMKEdOiJQUQUc8EADwwUwEY9SAgDNToWhaoDD7z+y4U8CSMBdMAQABXXAVw24CByTz FJEmK6dmOgagaYECDEQQOQMMhMxGIzCpkmRJAPCgBrQhcwhCvhCvhOrmeA+88x4igiUlBACJ AHAAcDn0iRAiBgHRxzwcZ3//2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAACBQEDBAYHCAkKCxAAAAACBAQXgQAAAAAAAAAAAQID BAYRAAUSMQcICQoTFBUWFxgZGiEiIyQlJicoKSpBMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECByttAAAAAAAAAAABAgUAAwQGERIhBwgJChMUFRYXGBkaIiMkJSYnKCkqMTIzNDU2Nzg5 OkFCQ0RFRkdISUpRwVJTVFVWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGS k5SVlpeYmZqhoqOkpaanqKmqsbKztLW2t7i5usLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF0zaGhJTLGZRoj0gKwpbJikIKkEQ4wRRQjD jCiACMEAAhOAEY859THgToI5do+CxnGkmlUJEmwRIAGABCYAdCAEiQQmizQQEJGDBoDZmmNO TkhMjdGxOTkY4QhFK4gwRCuICQCkQoQC104+QhChb0Phdo7DuTAiioJwQgkkATAkFKEgOSJE ALJosWzhIlKLUcI1ROTilhFSMSyi4mFCelFckGIz6SkhAeCaBQghvHUrChJgBZIJgoQGcQhB miCiRQRLMEjMNQhN6jU2RQRgV0ckZGOXEULEAJaI2qEmFJEo5LEAAAADASWkIGgMgA+1xPLS 9CsH0piYIKkADYlmFUA4ZMmWcDMZOPVyIjSlJwRYDpF40J5Ifkf/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAAEBwECAwUGCAkKCxAAAAACBAcOhwAAAAAAAAAAAQMC BQYSAAQHERMhQQgJChQVFhcYGRoiIyRyJSYnKCkqMTIzNDU2Nzg5OkJDREVGR0hJSlFSU1RV VldYWVphYmNkZWZnaGlqcXN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEDBidxAAAAAAAAAAABAwQRAAIFByFRBggJChITFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4 OTpBQkNERXGBRkdISUpSU1RVVldYWVphYmNkZWZnaGlqcnN0dXZ3eHl6goOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFP0vJoywRo0QszZ8IorCrFCxyjIhVDRw0ie Pk3aAKYAFisK1BEjdJnhyLGTAMiSBMsAAJB8IQEkhigHARp8okPBQIS4gq3ZqimKwrCmMWja IiBgpGC4KwkjKNkiYwJMBMYAYEinAAIAHX4/ATZanCGmUE5iBmMxgMRQSLQgLhQTSRcSEkkJ JEZ6RYYYqWAAWlpB4qiEKdKhlVUYs0ZYGXNEVxZleTCnUpEUPFBCmIjhJMkABMWSfr9WBWBT BWITlAiZ4cmIMoJiwkGBAAIIAIAhOgD6HAnSnxIUCWFxIClDkLnCpkV//9k= /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABBAUjdQAAAAAAAAAAAgEE BREAAwYSIQcICQoTFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4OTpBQmFxQ0RFRkdISUpRUlNU VVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEDBSpvAAAAAAAAAAABAgMEAAUGETEHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdIgZFJSlFSU1RVVldYWVphYmNkZWZnaGlqcXJzdHV2d3h5eoKDhIWGh4iJipKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFznXkiOCWOoJ8kByEWbRwPjcgLLPQQQxQAA RIYEEEQQSIMS+ZSTxwmF4JA6LOhFio4ATQARgAGiiwdFBCLCEqvRocqQRtJNEtGxsGYoRpOk GohsJAFNTYvoSaBCFiCn5YKASElGVMRTGS2iyYWoQEQrDwk2LVxSuE2Gcq0YaKigGxJsTOSp 2RxGIn5OE6Kc4azjTcRoZsN4Y3EHhqJQ3mwME9CFBPhDWbAAgYJuFMMC3ltMYLiXJIQkhBEB CKCJRYB4WEIDQTRs0EAQFPCRI0KFGkThSrSHUkKAc6dCSxCms3hDo1kcbxTUCbQgRAQghChB RCxBBRUKEyiDJi0CS1l0HiKJFIoAgUaAE0anJUAcEIkUEBSpCBRRSTBIMhgTaNTWODaCMRuI GbQwhT4MIQ1AlhCoG8UVCZd8spnZLAW8ZRQgAQogSbCEITYViBXKmxA+FEgK/9k= /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAACAAUwawAAAAAAAAAAAQIA AxESQQQFBgcICQoTFBUWFxgZGiEiIyQlJicoKSoxMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAACAklVAAAAAAAAAAABAgAxAwQFBgcICQoREhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFjDjjEwccmDhLhxxgjDBCZCEJUJCTA4cEOG BBBFgiFQigDQN9HSNOQM6jkXNGkrgOFQNeBEmQqiCCWRN4GGFN6N1GFCEUYU1pPCAIFIIAgJ gxQIAkW8HWDAhR0BlBAeYbNgRJcOogRK6OxRxjXmjOEG+GoCXm4m7GyCANWTTJNHJA4xLATB o0YIGcipB/4cEbIwDRG0HUYyDCAVgXcEKCUFIMWJEGc9ACgxQlACG5muJYghLENQMKIIAAoo CrMACkAimQg6Q2QoUAAAMeACQysCJ//Z /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABAgUxaQAAAAAAAAAAAgEE AAMFEUEGBwgJChITFBUWFxgZGiEiIyQlJicoKSoxMjM0NTY3ODk6QkNERUZHSElKUVJTVFWx VldYWVphYmNkZWZnaGlqcXJzdHV2d3h5eoGCg4SFhoeIiYqRkpOUlZaXmJmaoaKjpKWmp6ip qrKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECBTFpAAAAAAAAAAABAgMABAURMQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVZFWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFolSG4I0KiPxoAKXAGo5JpKBFFMiABigiSh CUioDABgmhwbAYEihQJQIQEFYoBYJF9Rg20bI1BCZ1DIuOSTWBQqY14JEwJZQgiyZVgT+Vwq YBcsfx8TgS9LJoRFvSqCT8VEdBOYrNgkQBTKCRXhuqSxCmlUKIaaJKmGppwpA2G4BMFZxNDJ ggpMDJgohguKKyEVKbnDYCUJwYJISyRkaECQBiwhUQhmxciITKgEAmKAQ8KcaKKeOynjEdBk 4IQMcjclE0IQ+mQwBAhTM3IeJA0eSw8So2OBFKIRIAmIsAAkASMgCAj/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABBQUcewAAAAAAAAAAAQIE BRESAAMGByMICQoTFBUWFxgZGiEiJCUmJygpKjEyMzQ1NmFxNzg5OkFCQ0RFRkdISUpRUlNU VVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECByttAAAAAAAAAAACAQMABAUGBxExCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpxoVFSU1RVVldYWVphYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGS k5SVlpeYmZqio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFDUbZEDch0PCaPQ2Ckh6KEj0yUUZFjgBsWA EAaCEIIMo5Opk8pY0SJcY8CAcCNBxwoQhsWRILyZBEBHBSJUeUNyRPI7QTHYkaDcItBA9KSN gBALKPoDQRRZ8ZUDECjpQaLyJobHiTHBAATZLiGgTqqqm1VVzBDBB4U2JOCJ8FGgfD0fRY7G CBqDgwJIIoIsSPD2MzR+ECwhLCLEhFCwsouInGQpkkMAMUcGSSGABw6hxBs2EILJRDYp0h5H EkEEIoA+jkeE6SqqCQHYscD0khwJU0/nxlCgihYQCSymJ0iAGIBTExHUyOkwPlRJ1DjwYooY YQhsIVVFVRTREIUUUIJVIUPI8hCNI0YDEjjyNT2KPIwG56Gx7CLECQigiT0IAIAEISnUoByn SRKSSpKksAMggiGgQRARFQQ2aEENCZggyBAEEENEf//Z /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAADBwECBAUGCAkKCxAAAAACBAUUgwAAAAAAAAAAAQID BQYhAAQHERMICQoSFBUWFxgZGiIjJCUmJygxQSkqMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECCiJzAAAAAAAAAAABAwQAAgUGBxExMlGBCAkKEhMUFRYXGBkaISIjJCUmJygpKjM0NTY3 ODk6QUJDREVGR0hJSlJTVFVWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6goOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFjUtxkivLQzxKaUIQouWZREYAAHFFTqYhGH ABRDngeAjJwBejzj0E/MvlsDYeFMCPTgoJAOoQBCehRhNgRoSCB2JACSm0BGGyCFEQJAQBAI vwkMMkV5dlujZeo+EJKEz45EMi6LhFagSYdbBFJBgp4cWqcAEzymCnOTIKMYaLYGw/HpOOhV hUIIE6SwhsJs0TBpRpgm7CREDMSATBNhhCMwEFvIjSP/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAQAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAABAgMEBQYHCAkKCxAAAAADAAMndQAAAAAAAAAAAQID ABEhBAUGBwgJChITFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4OTpBQkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEBAz5fAAAAAAAAAAACAQARMQMEBQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF+ShMmWJjkiogpUkVFCIOIOAAwowoQGggCA JwIAgMSGACGCKCEIPEFIiCkBgNiyhsoXCBk+E8qjJ9BEseEoegYZLHmEHAE84AnAmxRRhQjA b24AxqQAAZR8tNKglElHEickm4goIordEFSNcEFEHiXEcM5k5JAAEQeINb9CyQHH1ILz9k6n 6lD0iEBDYwRTzjiiJZKgNmghCIME0GaGjJaLPCqhMymyemglxQhwkFFEE1gozMm5JCBhI42a p858p9Z8B4SR9p854iZ4DxEXCTJgbwhbxhhgmwjBDBhCEITK+FFFEkzKNJuISJNwBAQRGwTM itoosqKM/ggCAiDhBpoY9jGN/9k= iVBORw0KGgoAAAANSUhEUgAAACEAAAAcCAIAAABgYkFLAAADwUlEQVR4nK2WbUhTYRTH5/bs veXm5ubLNHWpNQsrLbFXFvSpjEiIIIikL1F9KKpFZfWhLCoiifoSRG8E0ZeiCAorKZdlZirV pES37qbuqpt70827t47eul63XWe1P5fL9pznOb97nnPOcy+KRCIsZgVCowPuD4Pe9uHRry6/ KRwJUCaZsEgmKs6UVGSnruKw+TM4QUyGMWLwG3631/6U7peuEd8PuGACO4WXK9VpVTtThfmz ZYTChBG/Z8TvMnmPUjhCmEdeYM7XhYrq0qw9HDYvAcPjtxjMtU5f92y8TycFvg896HMZKvNO K8QljAzc8/mduXY86PxbACUvYX3VvXdtwcXMuRVxGC6f6T8BpCCgt736DUU30kTF0xiQA0My ADTM0Y0L73M54ilGm7Xe7TclBUDKFxhswc6vzj/7mwG71GN/nEQAKYvzNSRYJVk2wfhiu0m3 lWUdkYtKGBYmkJfoa8ZOUH+hByYYRNDd52qizwPAXEE+ZKjb/nCWLQIqlG+D3YeF9EGbp8Xj tyKT43msI3/ALuDKRVzlp74L4UgwIUCbvgsAwdAY4oiiTP3u9wi6JnZN78gTqLGlWQd5HCnE Dp3M5J2dwl2uPpGTquuxPxoPObXKmqgJNk8rcvi+x13c43gMd8DoCq4ZzHpYHxewMvdchmQF ANoH6rXKXbFzIEMoEPIwPSOFWZdf/8Z0IApDAb7ht7qGbjM5gZZgPHcpjJfoX5N3SVdw3fBT Dw9FjvM4kpW5dQpx6UfLGcz1cmYnCRggPkcK9zl8NWAgGve4GUYgMrKE+EiW0EMChiZtC+yV zfOxx/GoPFsPrjsHri9I3yHmZX+yXlCn6koz9yO2eIa9EnKVSCFaPDz2ZQaAxdXYaq2D+oYg gLEipxZapxk7jntbMVcDpKREVSNAUsh5XCdz+NlIKVkWy0BsIZS8VlVjxG8Z/zwj7FJj7775 8mrM2eDwdbEmz75m7Nhi1V54O0F/jAXwWAbEgDTyTUb8TpShSLEd7u39V8jSogQ57xi4Sh+B Du20XfUSGEQcNw54DSOIJUNSAU0fa04XL4Er7spYwdcFeZLTBXWRJi6eyLlGXkVnDI12/J7B z5slgDV5mPsC8CEx7SVdqNjKIusqV7a+e7hs0NtGGpiy97eSCgs18s0sqnYr55181rUjGB5N infW5CmwOq+Ow+ZOMUQ8ZeW8U02mo8lilKsPSwRq8vdUD6qla8rUh9qsl/8fsChjt0ZRRf2d 1udF6dUCJGu1XCRC7n/zzk5B5Tl66Af64C9MJ7S7N+vhvgAAAABJRU5ErkJggg== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAQAIQMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAABAgMEBQYHCAkKCxAAAAADAQIjeQAAAAAAAAAAAQID BAARBQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjEyMzQ1Njc4OTpBQkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AQADASZ3AAAAAAAAAAABAgMRAAQFBgcICQoSExQVFhcYGRohIiMkJSYnKCkqMTIzNDU2Nzg5 OkFRQkNERUZHSElKUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF9y5AiaSJUzmkiIaDOXFCIUJlBQDCDijAPB FGFCfAEAQHILikrLSAkCYAICBggIGgIQwgcBA07FFFYROELaFsgpqgOIaDIMaAjDBMyeAGIC BBIoBhQjgpCapB46jaGYgBPqPqK03POBIiaavTTSIUg0DcKc5npKCJEDQOp1EqQiICIcDWVC gwMaQkzMKEdOiJQUQUc8EADwwUwEY9SAgDNToWhaoDD7z+y4U8CSMBdMAQABXXAVw24CByTz FJEmK6dmOgagaYECDEQQOQMMhMxGIzCpkmRJAPCgBrQhcwhCvhCvhOrmeA+88x4igiUlBACJ AHAAcDn0iRAiBgHRxzwcZ3//2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAACBQEDBAYHCAkKCxAAAAACBAQXgQAAAAAAAAAAAQID BAYRAAUSMQcICQoTFBUWFxgZGiEiIyQlJicoKSpBMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECByttAAAAAAAAAAABAgUAAwQGERIhBwgJChMUFRYXGBkaIiMkJSYnKCkqMTIzNDU2Nzg5 OkFCQ0RFRkdISUpRwVJTVFVWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGS k5SVlpeYmZqhoqOkpaanqKmqsbKztLW2t7i5usLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF0zaGhJTLGZRoj0gKwpbJikIKkEQ4wRRQjD jCiACMEAAhOAEY859THgToI5do+CxnGkmlUJEmwRIAGABCYAdCAEiQQmizQQEJGDBoDZmmNO TkhMjdGxOTkY4QhFK4gwRCuICQCkQoQC104+QhChb0Phdo7DuTAiioJwQgkkATAkFKEgOSJE ALJosWzhIlKLUcI1ROTilhFSMSyi4mFCelFckGIz6SkhAeCaBQghvHUrChJgBZIJgoQGcQhB miCiRQRLMEjMNQhN6jU2RQRgV0ckZGOXEULEAJaI2qEmFJEo5LEAAAADASWkIGgMgA+1xPLS 9CsH0piYIKkADYlmFUA4ZMmWcDMZOPVyIjSlJwRYDpF40J5Ifkf/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAAEBwECAwUGCAkKCxAAAAACBAcOhwAAAAAAAAAAAQMC BQYSAAQHERMhQQgJChQVFhcYGRoiIyRyJSYnKCkqMTIzNDU2Nzg5OkJDREVGR0hJSlFSU1RV VldYWVphYmNkZWZnaGlqcXN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEDBidxAAAAAAAAAAABAwQRAAIFByFRBggJChITFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4 OTpBQkNERXGBRkdISUpSU1RVVldYWVphYmNkZWZnaGlqcnN0dXZ3eHl6goOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFP0vJoywRo0QszZ8IorCrFCxyjIhVDRw0ie Pk3aAKYAFisK1BEjdJnhyLGTAMiSBMsAAJB8IQEkhigHARp8okPBQIS4gq3ZqimKwrCmMWja IiBgpGC4KwkjKNkiYwJMBMYAYEinAAIAHX4/ATZanCGmUE5iBmMxgMRQSLQgLhQTSRcSEkkJ JEZ6RYYYqWAAWlpB4qiEKdKhlVUYs0ZYGXNEVxZleTCnUpEUPFBCmIjhJMkABMWSfr9WBWBT BWITlAiZ4cmIMoJiwkGBAAIIAIAhOgD6HAnSnxIUCWFxIClDkLnCpkV//9k= /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABBAUjdQAAAAAAAAAAAgEE BREAAwYSIQcICQoTFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4OTpBQmFxQ0RFRkdISUpRUlNU VVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEDBSpvAAAAAAAAAAABAgMEAAUGETEHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdIgZFJSlFSU1RVVldYWVphYmNkZWZnaGlqcXJzdHV2d3h5eoKDhIWGh4iJipKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFznXkiOCWOoJ8kByEWbRwPjcgLLPQQQxQAA RIYEEEQQSIMS+ZSTxwmF4JA6LOhFio4ATQARgAGiiwdFBCLCEqvRocqQRtJNEtGxsGYoRpOk GohsJAFNTYvoSaBCFiCn5YKASElGVMRTGS2iyYWoQEQrDwk2LVxSuE2Gcq0YaKigGxJsTOSp 2RxGIn5OE6Kc4azjTcRoZsN4Y3EHhqJQ3mwME9CFBPhDWbAAgYJuFMMC3ltMYLiXJIQkhBEB CKCJRYB4WEIDQTRs0EAQFPCRI0KFGkThSrSHUkKAc6dCSxCms3hDo1kcbxTUCbQgRAQghChB RCxBBRUKEyiDJi0CS1l0HiKJFIoAgUaAE0anJUAcEIkUEBSpCBRRSTBIMhgTaNTWODaCMRuI GbQwhT4MIQ1AlhCoG8UVCZd8spnZLAW8ZRQgAQogSbCEITYViBXKmxA+FEgK/9k= /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAACAAUwawAAAAAAAAAAAQIA AxESQQQFBgcICQoTFBUWFxgZGiEiIyQlJicoKSoxMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAACAklVAAAAAAAAAAABAgAxAwQFBgcICQoREhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFjDjjEwccmDhLhxxgjDBCZCEJUJCTA4cEOG BBBFgiFQigDQN9HSNOQM6jkXNGkrgOFQNeBEmQqiCCWRN4GGFN6N1GFCEUYU1pPCAIFIIAgJ gxQIAkW8HWDAhR0BlBAeYbNgRJcOogRK6OxRxjXmjOEG+GoCXm4m7GyCANWTTJNHJA4xLATB o0YIGcipB/4cEbIwDRG0HUYyDCAVgXcEKCUFIMWJEGc9ACgxQlACG5muJYghLENQMKIIAAoo CrMACkAimQg6Q2QoUAAAMeACQysCJ//Z /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQgCAwQF BgcJCgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABAgUxaQAAAAAAAAAAAgEE AAMFEUEGBwgJChITFBUWFxgZGiEiIyQlJicoKSoxMjM0NTY3ODk6QkNERUZHSElKUVJTVFWx VldYWVphYmNkZWZnaGlqcXJzdHV2d3h5eoGCg4SFhoeIiYqRkpOUlZaXmJmaoaKjpKWmp6ip qrKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECBTFpAAAAAAAAAAABAgMABAURMQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVZFWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFolSG4I0KiPxoAKXAGo5JpKBFFMiABigiSh CUioDABgmhwbAYEihQJQIQEFYoBYJF9Rg20bI1BCZ1DIuOSTWBQqY14JEwJZQgiyZVgT+Vwq YBcsfx8TgS9LJoRFvSqCT8VEdBOYrNgkQBTKCRXhuqSxCmlUKIaaJKmGppwpA2G4BMFZxNDJ ggpMDJgohguKKyEVKbnDYCUJwYJISyRkaECQBiwhUQhmxciITKgEAmKAQ8KcaKKeOynjEdBk 4IQMcjclE0IQ+mQwBAhTM3IeJA0eSw8So2OBFKIRIAmIsAAkASMgCAj/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAAFCAECAwQGBwkKCxAAAAABBQUcewAAAAAAAAAAAQIE BRESAAMGByMICQoTFBUWFxgZGiEiJCUmJygpKjEyMzQ1NmFxNzg5OkFCQ0RFRkdISUpRUlNU VVZXWFlaYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECByttAAAAAAAAAAACAQMABAUGBxExCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpxoVFSU1RVVldYWVphYmNkZWZnaGlqcnN0dXZ3eHl6gYKDhIWGh4iJipGS k5SVlpeYmZqio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFDUbZEDch0PCaPQ2Ckh6KEj0yUUZFjgBsWA EAaCEIIMo5Opk8pY0SJcY8CAcCNBxwoQhsWRILyZBEBHBSJUeUNyRPI7QTHYkaDcItBA9KSN gBALKPoDQRRZ8ZUDECjpQaLyJobHiTHBAATZLiGgTqqqm1VVzBDBB4U2JOCJ8FGgfD0fRY7G CBqDgwJIIoIsSPD2MzR+ECwhLCLEhFCwsouInGQpkkMAMUcGSSGABw6hxBs2EILJRDYp0h5H EkEEIoA+jkeE6SqqCQHYscD0khwJU0/nxlCgihYQCSymJ0iAGIBTExHUyOkwPlRJ1DjwYooY YQhsIVVFVRTREIUUUIJVIUPI8hCNI0YDEjjyNT2KPIwG56Gx7CLECQigiT0IAIAEISnUoByn SRKSSpKksAMggiGgQRARFQQ2aEENCZggyBAEEENEf//Z /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAUAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAADBwECBAUGCAkKCxAAAAACBAUUgwAAAAAAAAAAAQID BQYhAAQHERMICQoSFBUWFxgZGiIjJCUmJygxQSkqMjM0NTY3ODk6QkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAECCiJzAAAAAAAAAAABAwQAAgUGBxExMlGBCAkKEhMUFRYXGBkaISIjJCUmJygpKjM0NTY3 ODk6QUJDREVGR0hJSlJTVFVWV1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6goOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AFjUtxkivLQzxKaUIQouWZREYAAHFFTqYhGH ABRDngeAjJwBejzj0E/MvlsDYeFMCPTgoJAOoQBCehRhNgRoSCB2JACSm0BGGyCFEQJAQBAI vwkMMkV5dlujZeo+EJKEz45EMi6LhFagSYdbBFJBgp4cWqcAEzymCnOTIKMYaLYGw/HpOOhV hUIIE6SwhsJs0TBpRpgm7CREDMSATBNhhCMwEFvIjSP/2Q== /9j/7gAOQWRvYmUAZAAAAAAB/9sAxQACAgICAgICAgICAwICAgMEAwMDAwQFBAQEBAQFBQUF BQUFBQUFBwgICAcFCQoKCgoJDAwMDAwMDA8MDAwMDAwMAQMCAgMDAwcFBQcNCwkLDAwNDQ0N DAwMDA8ODgwMDAwMDw4MDAwODg4TDgwRERERERERERERERERERERERERERECAwICAwMDBwUF Bw0LCQsMDA0NDQ0MDAwMDw4ODAwMDAwPDgwMDA4ODhMODBERERERERERERERERERERERERER Ef/dAAQABf/AABEIAAQAIgMAEQABEQECEQL/xAGiAAAAAwkAAAAAAAAAAAAAAAAAAQkCAwQF BgcICgsBAAADCQAAAAAAAAAAAAAAAAABAgMEBQYHCAkKCxAAAAADAAMndQAAAAAAAAAAAQID ABEhBAUGBwgJChITFBUWFxgZGiIjJCUmJygpKjEyMzQ1Njc4OTpBQkNERUZHSElKUVJTVFVW V1hZWmFiY2RlZmdoaWpxcnN0dXZ3eHl6gYKDhIWGh4iJipGSk5SVlpeYmZqhoqOkpaanqKmq sbKztLW2t7i5usHCw8TFxsfIycrR0tPU1dbX2Nna4eLj5OXm5+jp6vDx8vP09fb3+Pn6EQAA AAEBAz5fAAAAAAAAAAACAQARMQMEBQYHCAkKEhMUFRYXGBkaISIjJCUmJygpKjIzNDU2Nzg5 OkFCQ0RFRkdISUpRUlNUVVZXWFlaYWJjZGVmZ2hpanFyc3R1dnd4eXqBgoOEhYaHiImKkZKT lJWWl5iZmqGio6SlpqeoqaqxsrO0tba3uLm6wcLDxMXGx8jJytHS09TV1tfY2drh4uPk5ebn 6Onq8PHy8/T19vf4+fr/2gAMAwAAARECEQA/AF+ShMmWJjkiogpUkVFCIOIOAAwowoQGggCA JwIAgMSGACGCKCEIPEFIiCkBgNiyhsoXCBk+E8qjJ9BEseEoegYZLHmEHAE84AnAmxRRhQjA b24AxqQAAZR8tNKglElHEickm4goIordEFSNcEFEHiXEcM5k5JAAEQeINb9CyQHH1ILz9k6n 6lD0iEBDYwRTzjiiJZKgNmghCIME0GaGjJaLPCqhMymyemglxQhwkFFEE1gozMm5JCBhI42a p858p9Z8B4SR9p854iZ4DxEXCTJgbwhbxhhgmwjBDBhCEITK+FFFEkzKNJuISJNwBAQRGwTM itoosqKM/ggCAiDhBpoY9jGN/9k= Department of Animal Science, Faculty of Agronomy, University of Zulia. Abstract The activities developed by human society cause transformations on the Earth’s surface and have the capacity to affect the functioning of the planet. One of the main effects has been climate change, which affects the entirety of the planet, its ecosystems, and society. The objective of this work was to carry out a bibliographic review through the compilation of scientific articles, book chapters, and reviews from reliable documentary sources. The review focused on the factors that influence climate change and its consequences. Additionally, this work presents an alternative: the implementation and use of agroforestry systems to mitigate climate change. This is not only because of their potential to capture and store carbon but also to reduce the amount of CO 2 in the atmosphere through the growth of trees and shrubs. Agroforestry systems also have significant implications for sustainable development due iVBORw0KGgoAAAANSUhEUgAAANcAAACvCAYAAABuDEsZAABqVElEQVR42uxdB1yV1fu/833v BNyKKzVzZqlpaa40y5GjrNQsKy1Lc5RlmqlplpaVCtwJCIgiirJRGYKCuMUtCO4Jbtyz//M/ zznnvVz5gTlw39PnfkCCO973POdZ3+f7lclcy7Vcy7Vc69EvQS7IAMBz96WdPVKOL/l06fGY TxJPLv1k6emlHwZlBf4zff20NZPWT0gdv35M6rg1Y1L/2jB1VfAevx83XFjbl/xdbY1Sg3+v c11J13ItstAYTsPpFuadPlO/SRy644uUL6+8Nq85vBBSC+qE1oRGc+tAw5A6UNmvPGh9lKC2 yECwyEHjowKdjwg1girBi/PrwUeJva4PThy42XuT+di60+lfk+ctTx7l5DK56yK71jNpWOVS T6R+O2nDhKTeCe+fbzi3IVSbXY0YjhpUJhmoyUPjrQDBRwFqMzEoqwq0FjV5CKCzaOgDDU5J fq9yYGloGFwXOoS/Bd8t/2bv5G2Tp8UfXPLngQsH2qvlatfFdq1nwqCeX3lm5Td/b/kj4f3F Xc83DK0FepMaBJMSdFYF6K1KMFhFMBLD0ds0oLEL5Kua/tvNogM3s55+r7MryIN4L5uW/L4W jGYNiDYBVFY5NcpSswxQyb8CdAh7Ayat/yVn5tqZ3tsgs61SpnTdBNd6epaoEmVH4Wi/OXtm Zb0f3hMaklDPQIxBMCtBayVeiBgRGpTBSr5amLGg0eDP9fT/sZ/pye/oiQFJxqfF/0e+Or4n f2+0kechDz35XmslRkuMTTSpwNOvArRe8Dr8vHrMxhUnkj8gRl7BdWdc60n1UAr0UluvrPty +ua/dr0V2R6MXiLZ6HLioQRmSNRgNPx7ZmR6akiSsUkP9jMdMRr2KDA4IzUukRthwc/xez19 Pv5z8jtas4p4PxFeCq0LQ1IHX4w+GBtC3mN1191yrSdiKch/ZMO2CszyS/sm+QtoMLc2aCxK kjuRsM/OjMPgMISH+0DPh15NQwxM4SUj+V0lGJ469ERibuLnSrkrXHStx9tbeYTumTv7k+Uf QRm7B8jNMlp0QGPS+SqIhyH5k8VINrnukRgXekcaWlr09D2JNhWovRTQOqIlzNjiFSAoXYUP 13o8DUuTcmrZzx8v6X2lrK8brfBpqZcSaJimtWPYp2TewxH6PXzjMpKv7mYDMXQD8aQkLyNe FQslH0Z/eGnlqeVvuu6kaz1ORiVfcWLFhK9WfH60VnBV0BCj0llV5KHlHkoLHmYNuJm1LJ+y qQuKFw/5gQautauIcZEQET2qVU2MDY2eHADEq7ac3+Jf3yzfIDwoXHfWtR7pyoPDg2LzIva9 Nq8p7TVpaMlcT4yooKKHxQes5Omkap5V84i8FhY+mIGjR8WqI3pRIxZFrKwoojQroMacavD3 +ik7iIGVcd1h13oU3spg3mKe3D2uO7j5aEBjUvANrOMhn+hU8WOGRQsZjirho3pond6jVOSQ jF6koaJgVUKVWZVgXNrPGbmQ28B1t13rYRpWLWvW9Oyqsz1p49doeXRhXomFi8TwRfIwmnQk XBRAsMnB3dsAH8f3gfRz6SNdECrXeuBLKVfJlpxaMq1X4jugMmMYqKR5y5NsWJJn1dgxNNTR prTWV01CRDk8N7sqTN0wJYccKFVdd9+1HqTHUi3LWxLcIfZNkHspoZSJl9Nt4hNvXFIIS/Mw G0Kp9DR31JgE8JxVEX5d92uSC23vWg/KsIyrzi5b3HpRc1B6yUBvV9PcBauBepvqiQ8LC/Ix kVcQ1eRzMQiVQDx0vYV1IWxfmAUro67d4FolthBxseLk0rCOca1BjSgLCpRV0VwLv9c/LV4L ixsWA60m6mzEuIiBuZl11DMjIn/cmp9ziXGJrh3hWiXlsRTbLm0K7BbXGVTeMopqMNp0joZs wYn/dBiYMy7RkY/ZBRDNangjvO3N9eczerl2hWvdv8eSK2RRBxeN7BHXBbQzVLeWry1PS571 Hw+LSEv0GnKolLYbYUbGH5tcDWbXuu8lKkXZbxkT0suSTaWzqJ6S8O9um86s/6W1CeBh18PI 5CFpWNhx7Q7Xuq+Vc37H+x1j2t/AsXo3O46J6J6iEPAOUfTY/LZoaQNcP0sFH8f0CZeTHNS1 XOueFzZNvbf9lVDFrywYfRhkyGgVnz3PReFRSlCbBOiY0BXm7A71cu0O17rfQkblIcmDT+Bg I6IXNLSIIT4lJfe78Fwk59KY1PBeXE9YeWbjCCzwuHaHa92vcVX6KfWH4xgS6mh4pOezUAzs iqP4iGbA72nIJPW8+GSwYzCR/wxR57S8LY2fYLglDU4WwiFKY/usqXtriHY3D4Zn1HF0vpa9 d5vgeA8GCioW2Punf8M+E+XusKpA9JZDed9y8MXyr/M3X8z4WeGCQLlWCRmXzmvLX7tL+ZHN aRIZLIgbFfa2tLy/pXeM5jOjkAyj4Hd0HCjrZDy08Szy0ROBh17MyJihFoz36+9n4hhbBQ5D 5cbmILthhsQQ+4yrQ2snPzcbQEv+n9IsgzI2D+gS3e1q8P6508j1KO3aFa5VYjnXOch9Z+zq n65V968GglUGavJAwhcdPuxq6onQKNz4BsYNa+B8FpIx6ainEPlm1nJGJ6dNb9E5kB7oZRye R0Kv48QwPui/hbt6GG/h39CR91ngVel7pe8PqdpUIBAvpfKRUW6PWnNrQJ/4vhB6dH7cRbj4 kms3uNYDWQevH3tlYW7k5EFxA7Z1nN8uv1FIPag8qyK4kc2Kk8aCRQ0Cn9fSoqexawq8kZkN IbKZKV5ptBWEYjgFrHd4Gbbp3Syik3EIjBaAGDENI60sxCt46Ggo5/wzaqTcW+otDO3OckY1 5TtEFihE8iMjlN5PAM+AstA8pBkMSPgMhi356sIvq8atWHpq8YircLWO6+4/W6Ga2yN8bTlS kc3eNLtt8K65v09cPzHhq5SvTnaM6HDh1flNoGFIbagZXBVK4fg88UBGkqMZbQbwsBrAjXxF o9PSh5Z+pYbAZ7xEkwLUxGsIPowEFHk35GY5+XsNeCBPoQWfQw/u5G/Q+3iQ7/GrOzEg/L6U r4H+2416J/4gRufuT35uN0DFWWWhPnl/LcOawXtJ3aHX4g8ufJM6fMuE9F9jbBn+42J2L21B PltzLOK4dtlTbkAAl6sdh6NvJx1dOjwsJzx+0d4FUYFZ9pWTM/7Im5j+a/z8rLnfT0+f/lZa 7vJ3zsDJbiR0aUz+zl2j1jyC9wqVs85kdVt7IrWrf45/v6Cs4LiA7MDYgGz/2KBsP/Lwj52x 9Z/Yr2K/jP1+5Xex/cP6xU5cOyF2yNLBsQNiP439aFGfZYOWfLn7+xUjz323YkT+yOXDyeO7 c98mjTwxLH7o4qDdfrH+5DkCsgNiA/Gx2599JT8LzAlYYtnuE2ja5mX33Wldij8P4o/ZOYFL vLd72322mwNn7ZnzV9yJ5A/2XjzwDnm/XbFY46r6Pf2GpD0Pp+ptvrTx3bjD0aHfJ4xYOjR5 8Mn2C9pebB3dAurOr0WT6rK+HuQE14MwU0lOawNUn10FaoXUhJcjXoQ20S2h47w3oP/ifqd+ ShmzKe3s8pDtZ7PeIM8tPEHXQSSPsjhWzx/4vYdrh7jWXRcKkIQy48yaRivOJI6YvvG30LGr xuz6IuFzaBLYEGrOqQZl/EuBxkvF+NFNcvoQLUpaQNCQ5BtBpJjrqCwsCXe36qFaYBVoOrcJ jFg1DCasHJe2NC8RhQhcRHyu9fQuFfmPbPLn1p5a+9rfB7y++Tp5cOK7kd1uvjqvKdQNfQHc SU6gJDmHijz0lNNPxyto4i2JvuNhcy4AMIJLWhxAcKlVDQokiSHPUze0Dny2uP/+9efWd1O4 4Dqu9ZSFfGWjD0Z8+H3KiIxucZ3+bRz6IlSeU4GWsQWzgvKjI+sr6xHxqhetbEl9l+KRENh8 1dr5xCzvIbFGqEiTeeTk05uJp/NRQ7uw9uCTad50Ak40dt0V13qSDUp5Hs638dkyfcUHMT3O 1SZ5kYjKG95q0CFHuZk3WO0qyp2H/R4cJUc+PzcLlp5VlECTUn1ZdLdpkBYwFtHeDS11C7zJ y3pLoi9DQ+i8Sdho18HYtDGZrjF113rilkallZ2BM5/+smLsgc4xHaCMzQgaYlCIS2MklGon 1IDEnVfAPaHn6h0GzqFn4HAhfTE0ZHoH34PIIT6aAnpoOkErwXu0zCOa1FBzdhXwy7GvVCtc dM2u9WR4qtZRByO+/i5+xPZPUvqBm7ceFBY5zX8k7FrB0J32LngcNPcM+zEW8XwYKiJTU4tF r8HKMyunue6caz3WK+ta1ouzMmct/2bZ14ebzHkRyvm7g8YsUNagxwnRzfSqdBTig8iKv7ZM 2+Eqc7vWY7dUcpXs1I28jrZM25K3It4CN5OOYtK0CKWxK2jO5G4WHruxCczp8KtokUFlP0+Y leWL+VcN1x11rcclBKwWlGVLbx/RAtyIJ1CbsSgh0pxGz0caGLGk+JiOwwsUy6cxKaF+SF2w bTYvcQ1QuNYjX4dg3/jv0oafr2itCFofidOOAVAl1LXR0Z/SPX4Df473qCeeVQsKkn+1i2zz b/zx+NHk0HBVOFzrkXirUgtzQkb3Cu9xU4MTuRY2B6TzVbMCBR0W1PAhPDWndRYeQ6+lowcB HgrsPWspAuS1uU1h/p7gQzfh4gCN0kVo5FoPz7CE2IPhEz+O7XOisrk8V/EQuMaTVFrXOUYm 9I45IvGxZJJl07eCQ+FDj8UXLxH6JvSC2KPhOzNOrO9DPrOn68671gNbSvLf5lPb35q0/rd9 jea/yGBJUn/Kpn3qmI1UPipwt7lDowUNoV9c7yvT0qcGHICc+q6d4Fol7a3KhR4M9n0nvhMo fWRUJPvp5uoTHRrBol0FanKQlLd6QPfFb8O8g3PCXYgO1yqRdRpOt5i0ZuLp5wKrEm8lozKj +DA+BfI4xcvmCAyjKFE423SU5UlBvFmN2VVg8oZxO2/AjY6u3eFa97wO/pv9xzfJX15z89KD xqoEjS/q+RpBazPyXOVppWom+ZfZwP+tAjfixdwsLEfTWNTgQcLG/sv6wqK9YYNdu8S17jYM VAZnBg/tEtnppsZHTit+2Kdy5xTGOpv6qebpk+jL6MgK9uu48JuE7NCSz6/yUcBrc5tB3PEI 1Keq6No1rvWfCymJt5/NeG9gfP+95e1lKBe6gfPXMaS55jGu/pV03sXL9VbOQ4ghIw0bEc2v oTwVw9cPhoxz60a6do5r3XahwMDiQ5Fh7cNaE6NSg2hTc80pjevBwb9uVua13UwGCu1Seclg SMIQuAFX3nDtINcqLhT0XHg4NP2V4AagNis4B7qe0m8ZbC7DKpAvVVM4F6rbe5i1oCW5aHm/ UvDPxj/3uCR0XOt/1lW4WnfSxgmHqvpVBsFHRZvBFLlAw0DBZVRO82JaTifA8k4GnVKbZdA8 tDGkHF1hce0m13L2WHWmbvz9jLuJhH/eomPgEMMeZHR1s+hdhmUtYKMtmI4mYTPlGdSDnlwj pUkGg1OHXCfX83XXrnItNKzyliyf9ZUDyoJoVVEOCtS6NVIku4rznbtyLuecCz26hl4nLUen IFhZBxqLBp6bXRn8Mm3+rp3lMix5zuWcMf0T+lJWVz3fOG4WidhFxVAKrnyrEDSKkeUY+QQ1 pZbm5Xo38v9+Tv9xi0th8RlfhyG365C0waDyloMGixYWnct47nMuTOOjhNaLWsPWi5lfuHbY M1wZ/DLp890Y9mkp8b/6Vl4L1+MuCx0C40kk37v7ucEva35f7SIefTYNq8HEjeMPec4qAzqT hlGYUT0mtctQ7svAWJio8ZJB18iusDf/UHPXbnu2DOt1750++eVtZSlGTlIXdIi0uR73bFh6 G9O10vgKUCGgHATkzFnryr2eobXp2sbJ76e8B5oZAm0Ma30LeAP1z6Bo9v1XD7V8lo1Jn2pt Aqj81SAEamH8psmbXKHhs+O1So9LHnsYx9glgk06gu+ks+symDsF9bIDCdUkBYsK1GYlqMxq UKC6vV0Amb8Mei7udYlc8+ddO+/pNyxlyI451rrmGqD3dhnRfSnYWwQQUE3FpAKFjwzkPnJQ mBUgJwYmM8lAbVOC3FcOVeZUAZ8NZl+F3CX28FSvdWfW/fxObGfQIJeg3QVnuluD0pkFZlgm JlOEBqbB/IoKP+BXRGug/ClOLivIg3gvXxl8lfYN3ABwDVU+rWvP+QOvf5rS7zJKfxosBroZ XEZzjw+bhofU/1uKx4KQh9lIv8dpAplNBk1imkPsoSV9XLvw6QwHy/+y6pc9eisD4iIOrqjN 4XrcXc5lLNwTtIkcscGUVTAfk1lkUDu6NsSeWDrCtROfwnUCjrX9JLEfJZUxSqruNpfnKinj cpYsMlpYeIgHmdGsBZldBp6hnrDkaGKsi2D0KVwhu0J9q8yuQnIBJdXAYvhBl+d6UByIVN4I sYckNFTa5aCwyuHj+I+uAFxr4NqNT9E6eP3gK70W97yuNYkUhaG1K9mJ6xoheXAEo+SrYFKC 0kwMi4SF6L1aRLa8dOjaoYauHfmULFElyqatnpLp7utGTlIlBebqrGzw0Whxea4H9dBaiMfy VoDchF5LATI/Gbwe9/rFI1dP1nHtyqdk7by4a2DPJT3+T+3FJE9xRAIrhUaq6OHCED6YSiKO /IvUuFTYVCahuNwmh+YLm/6btD95wJ32IzPP7m6y/vKWPsfgdBfy7zL4OH/0fFnUksaHa3c/ 2gph1V9XTbio8+Li3LSSpeGCA+JtBbtdj/sodKAMLAJ3iffSckpspGDztJeH4JzgNEElFHvP rsLV+uZtNt/BqYN3vzG/FTRb1AjaRbWC9+J65Pde/EF+25A25z5Y2uvc8NSvz41Z+UNqwFbf uCWHlvRbfmT5O7sv7e5O7nkP8qjlEu97wOssnOz5cVJvUM6UsfK7TcN5MARa0XIBdB8czhAN SnqwBrQAHlYj+O3x24fDqUUfhldf8N/vt6BLeJcbdeY+D+52PWBPEotQFYPKQ+WAylAm0B0q zC4NzwdXg1fmvgzvRnSDgQmf7h2U9GXmrxsnZc07FLzLutNiX5W/anxiTuJre68eeYG8Xj0X trFkvVaVPzf+ftjNkVdJxvR4ozKkKtv/Nmd1rPRNw1mRPgzI9MtJSd1oWVzgAuOMclrPy+IG m5ZzDSoogYzaIgcN+ar1EWiYrLWraMhskPJQm+DQXTbQKeySIbQRyfN/lTjwMLk32qLCQP8c y9qqsytRbWZGOqqj9NnO+mGMbkFNPotAHyIJO9VmOQk9ZSCYFKD1UkN539KAxtkouAG0CW8B 7y7tAR/GfHDgu2XfbffZ5PXnHtj1Onm9yi4ruTfDUiw/vGLuywteIjdKUbBRnhBu9qKMS8s5 25kBaKiQHpUnsjFEBDbFNXaG7jdalaD3UYLoQ4zJm2w6svHcA0pBk3nN4LPkT4GEV9A9uufB DhHtQGeS80kARFQYeItCSQXwPEw6rilWQmop5LW6LHoLsi9kf1/4nl25cuW53uHvXRDNciYa yMUfigo5/0vfWZpsoAZoUoPWG/GPMmq0FQM9oE3YazAidejVP7f+Gb7pwoa+Lhq4uzOussNS hp3SeqsoTOdpaBa7m0U6K6Xl+YyB9+l0vJckktAJ+T/cyc/KW8pAy4Ut4PPET6/9vGrM/olp 43f4bbfY1x5Pe59cm5f5Q3UOzvT/df1P/7rNJM9Nnh+5B9Fw1X5IPCPw/LQkK4hKeJ54lKhj sfML37MNJzYNbLvwdZKnKdjnst87TTg7IDRcLldDRQilyjA1OgQbe8uhNDlMms9/Gb5OGHh0 XmbQb+SavOiynv9YEVlh45rOfemGhngtd7PuKRkhER3jMHoS3mlMMopGd7cb4IU5NaBj+Bsw ILH/se/Tv5/nvzNgdsapLQMwNEYvXlyOg+s0nOg8Mu3by3pfLQkl5cRb6akHY3yN6hKTmDVa WdhaJqgUTFw3Mbzwe1p7dvXAtlEtaJiHHpkZxL3Sbhd4Sx0Ne3nxihsZDZVpQQtBxyoQyD7x DK4IvaK7XzFvm+4LcONNlxUVs7w3/rMS426Rn1pPqgqJIywim0yDG8HMZqZQvshoEqFBSD1o G9YWPo3/5Mgfa6amLz4aO2L71e2YvNe40wQef29JXuz81yKaUb5BpDlwN+lZbmdTMx3nkhqm RAEHErpOWjdpe2Fdrw2nVg98I+J1EE0qFsaXgHEZuAfTcX5/JB5in0fgbMEqGm6L5P8rSDha wbcUMbBu12Nzo1aieLzLkgr3ta7t/rBHfLdrGkfsLj5hnovlCxozOVFJziSS0LaUrxtUn1MF 2oS2hA8j39s1csX3W62Z9mVpp9O+PHH1HFbDxPsMo/UL94UuejX0VYqmoF7SrOchYcleOwxd hyUMuYEErM7vYfupDQO7hLcjXkTJvaZ418alp0bEKsHOuEej0xAszVFtkpyu1jEga+SeDlEl FX3LweDUr87FHo79VumaQWNLLVfLZm6emewR4EaTW+Qwp0n+Qxgt0TmVnZ09Dz01aZVL56TS yEYzjLyaJyXfgo8SDCYBKvpXgPYRbeDzZX1PD0sbtn3quqnBEfvDfsq5nNlWkAt3fV0UMjkV lgC4Wu8UHKu/Im9ZR/sWeytsyjoZmHFm5t/byviTa4dkqBYjfV9GS8lBovAheiugXUxr2Hx1 87fO7zErf+1XXWLagIjXgG509QPIlQu3X7ROHk90/Awb4Cgq0Sm6PSQdTPjUZVlkZV7MfOut RR1BRW+QSEMbpFt2szwc4yoKNe5mFrjskOg4JVGGB5urOMUrM8lB56uDBsH1oP/Sj65N2jxx lXWn79TDN3K73msjFMvMm05sapucmzRx0urxv05eP2nDsNTBu/sufR86hLWGxiEvQp3ZL8DY DeNO7IXc5k5/12TC2rFXjCYsc5Pcxy6WWEgtEa3qiGeqGVwN5mXO95c7eYXrcOnVjxe/e1Zr UlF42qOONuj9NGvgy8SB+09duvRsl+1xhDx6X8TC6kGeoLMwDyH6qqg3MT4qHkI0KsqDyPtH mDth2EP+XT2oMrwZ2Q6Gpny9J3hnYMTS3Us/wQKEXCa/c09N/kM0wsrTqz8MyQkdY1nnHTN5 zc/b+yf2udpswUtQI7gylA8sTTa0SDyGmnoFtR0HRcn7MhFP6qOBMWk/IL9Fdek5z8CZVj+t /uEkVidRj8zNoSpZEtdDoOqUFXzLwNzdoevUioLpExX5LBPXjEwo428AwS44ZsIexX3DniEi SpS+CnguoApMWT0xXCF7hnvQF+Bs+8/DPgbtX2Qz25mX0NGqk+6hFzT0Tp6SlpVNxKhMCqgx tzJ0C+8K41eOTZ63I+SvS3DpNY1Sc6feSLgM51/ffnHrqIC99qG/rZ+4YPjyr3a9F9UdXpzT EDznelJPo/EiBuQtgJacunjIUKJTGy9Hc6E+o9lAQ1Lsf71CjHD1yY2/Fnqt5r9vmnwJCxui TVmCErCsUFHGtxR4ZZo3F57tWnI0NKD2nMog2OTk9x4d7hONy42GkDoSBcng8+S+N4lnfTa5 F+VyuWzFsZQpr1heAu10sql4jwY3kRtJzPWPgOTTyI1MJGGhbqYaXgqrD1+kfnrautkcm3Uh qx1ORt/WKykE3OQi8SSNQrOCWyblJQ3y3+6X/PPq0cffje16tHVoC3gxrA6Us3uA1kROWURe WOWU44KWz8nnxpEanV3DNbR0dHBRz5uzqG2sIV6sRmAVWLQ7YqFCprjFkJNPJge1CWtBK4gl RzWHwhYkJPbRwtjU8acLoyTSDsb71Z9TEzQW+SNF0tBwHqMdcg0V3jLol/w+5N048myW5/H0 n7xyUpZ+pkBLvXpeODBICIaHYFyFcYqCl5xsfHd4O6YDjE8fu2/54eTvbpdDYTiImzr3Wm7D rAubJ9qzrBlDUr850nNhJ2ga2hDqzH0BPKxujFXJLCeeifVosFhDjcXC4EEsXxEcOsYIbaIU 0xzvJxULmASrAUTyd33i38vPh/zmtxZBFLKE3PjoFiGvgGhS3hYZced5jEirtzIvGYxIxcsB Lzm/ZvrB9O7tItsS41M8Ytwnv5YkpMfJ9d7xH8Ch68faPpPGtfnk1m/6JfS5jqFXwSkrFpRn S+jk1XNGXgnPh4OXUt9EUlhERiR3ixv0S+pzxXvr9Fnn4GQ3bOTeJtyrlXRsyZAZm/9O+jZt xOH2Ee2g/pznwejDytYUA4iSRvQ1GDSKeiEH4qB4MYTCes16fipTnkGbnnp1tVUJNWfXgrnZ gTGFG7tYmVx4IGxF/Tm1iUGruA60yD2iePcbFgsa5PWVxDO9Gt4cVp1M93HOMZG3f/jqocfR c7FKofYBFy2wca51hKyIfmH3VsUQIuR7rZ8RBiQMyCDvzfAsQp309o3WPRpv1h954FTN9Hs1 37gSwyyeyMSLEGNoOrcRTN88LYe8r9eKe8+5kNswIjfi98kbJ8b0i+kDL86tS3MMbA5jiKe3 SN5XLLY5en9Twiw09DAzeSSljxLej3sf0k+u+biI6/ucT7bXsYqzPJiR08rnvW56HEHRU90z kXivocnDsd/VTHotUSHK/l7/Z3opu46NBz3wgoaWHVRWJuBHK7kWRKiQ90geKhISvrqgOYTl LHo2iXUuQv7bI1d8c1UkXuvhqZMIfISFaSRjNa6CvSwMSR10JfFE4oeCUijqEHBfmbfyK69d M+N6RHam4nC4eVBzWaQbVuc4qXW2ovtmJddvwtdTsT4bzl2R0FFFjHtQ/NeIWPcs4r1X/Sl9 +LayNg/iSVkV1HBP7Q0tV0FBNLsCWix6Hdad3TDF+bUS8xK/brqwEQgWxUPJi/H+ib4ix1IK lF8FDU5NXr/5wlfAvtUeezv42NPstZSW7V4by5jdQLDzKeOHxRFBw02WdBtn6mDyhkmnsMpW +D2egnOvTtkyxTQk/atTDYJfoMUW0Uegm5Ph3PTcI3K8m1XgjecHlayLjsMBwyA3k5HiL7VW BVQjBu+73R5XFOIDw6KJGRO3e/pWAINJc9eDpmwUhnl7I6IoyCYuE1AW/lo/LdL5da7A2Rrv RXalIyQPXGyQNqrVbDKdezCtr4oWcWrNeQ4WHo1YXBim9SwZ13Pfp404JXrJ2ZzPQ0t4dcwY LDjSIEDdoDoQeXBRqFKucn5vio3nt7SamvH3go4Rb16ttaA67TMJFiUtOlB9ZR7+YZjFCHMK jOvBndZqXuzQcIiRATxQ85n8HAslI9O+O0fee+OirveqSyv/7BTVAZBj/27R8pQJitKtYQUX daY1JJ/RwNgVY1dhIcfpulX4PK7fcRGb2A94moECk4mh4+fHERsjeT2cOUOEyofRvS5svpj5 1rNqWIrkY8mmV8MakxBDRU/CB9/V53kQLWLoSFxOQooZKuizoi+ch6s9+PsqE3EsdvDEtROy 2ka3ZEJwPmpHnsO8nsBxcFJ4JfKTvSDPugUPV5JlaRvSTWspdtDNouLQMDYgiWIKnr6eELI/ ZCeCfwtfc61SI5udPSu9UkB5ckiIheBD/x2CuVl4EYE21kneRXKar1K+unEGzrdyfp3f1/4e X8rPrYhClPY+q7liEagaLS3U0NCYhKrVTJXh5zVjDh6Fo02e2aYxuuvRK0YfYRuXzTg9in4W 9rJKWdzhh7U/5PtkeC3us7hXfu0FNcA4A5vHSkcD21gU2v2Roe2dcq9bmrx6EGfK4Y241pB0 PPm3Yq579b+2/3FSj/1Dp5yN3gO7cPv+FG3oSwOhWtCSe9c4/GWIy0v8xfk1wvcvDK4/9wXQ WNgUtMgrd9i3vBcwsZ7Pven45DYVSOeHmxtiCUm+ie2GNyJag327ZekzT36TD/lv9k3qfRMn bdnM0aOb20LPIphVFA0hWmRUhEBrc6c9JsMTMqgpbXrKf+GlhkEJg/KLG4XfcyP7vY+X9wHB C6+9nm5e3LA0d7utuIVkXCwU1hOPUdZeCsauHI0jKEYnAy4zKHHgKZyzcjMZmOKnVXAYyd3e Z/reEO6FLQTs70kGjgBdHznUCqgO49b+fHT75Z29n3mALk7Req35J7LKrAoMYOowLu0j8wR4 090sapoUs9khzUMBDJesgalpkUNjFuD50Bowa4fdWpTsD/amkk4khDef34QObeopBQGTvWU5 3X9fL4q4J/dL5a2EVgtbw/4r+99wur+lfl038Swd+cewDeFaiMv0Vd8TUp8ORfoKLDTnXlOD eZ+PEYauGgJRB6PNzsb9rBtXqemr/8zVmxhqW0c5JLQOLd6Hj6AW6cZ0t7Cbj/mLOy3r6p4g 42LIDq2NXUujrxZGJg09WBxM6ySc7fnlsoG0X6XxVVGyVT2tuN35gYKoD5yfeiWiKay+sLqf 0/11C9jtn+lBvKKA7Mhc1AFfx+g0sn/H9AKO+TCyR+y4X0gY6C3A29FvQVxuXBKyQ7msiq9r cK3JgKT+N1QmdrHpyflIp421LJ/gTWaptP4kcXcUjL9rKeMSIjIazqsDy/KWzSoKqY8ebfmJ 5D+6xL0Fah85R45o7qmKWIocQtO2TM1xZoU6cuPIm+9EvA1y6hlZT04ykLv1XHR4kv+9ykcB dQNrw/i0n45uzF/3gTOm0rXIijkc9WfdkFogWASGtKbIgUdJTy06EnbWXJbe15NjXIjUMHLk PCXxJCc8cnR8uvSTS+fgXMtiIghNUE7Q/LpBtSnsi/WlhLsKp9G41CY59Ip799/DV491cXpu 48QN47e7WbFqqKRQLdYCEW5tAheB7yxsfHjYYe/K0688DE75+mzC0aS/EdnjsqQi0AIj0oZf Ms7g06qcaozxIjy6zWwsVCo2PoEEOEVxeJSyGGHS2gl7igMdY2Vt7JrRp5B7A6uGFOFwV+E5 y/HqzK0BC0+Ej3d+7uTcpGEvL3oJRBJuYz6LhxcNWzmXodEBUGZGquHVSnfyHrSOMX6B5led ozr9X3D2rGDn6WvXKrQyz+4Y2W5hG3LaKVgJ2Kbhp5pLVOFBPHBjewZVhnl7520uDq2w/8b+ dztHdKRjL/eGB9RCaT8jTF37R3qh0Zdq/WM/Oav15iSoVjUv/wuO/BAByLSaSEJLNuSopVKx WjtyNiqhvLU8fLdy5LnjcOp9l/X8x1p6YolPg/kvgMoqYzG4VUKmiy4xuweUi6lJSDVgxceQ dSlrWFH3RKVQy3wyfZIQPqU1ae+pIGSwq+GH1KGbsBIsPa9SrpRZM00xHgFG0FoKGsGMHVjk HkxHcyppnAV/JnqJUCPQEwYs63c1bO/CEJdowx0svNjmnd7RVfzLEbevLEA1Y1HDqnYZ14OY yiUeQW9SQ/3ZtcG+yTe8uHuTfi79u7dj2lO2qrttktNSuVkOH8V9eP4CXLiFmHP+kZCFZee4 08lqHF40ctAxa+DruDSsklI64ANHaNxNbvB5Yr+LcbnhVmJYL7gs587yrTpfLP7sotZLQSEr tNRt4SLXNpccUEmiTpypCjQ4kOkrwuCEocuL4/hAEPX3yd8mlvH3uGvjwjAPqeRqzasNiw6E TXB+3tm7Aj9pGFqbTli7WQzUY2k5fIq1OtR03EfjzfCKzec3hj+3/LG+KPiWa91m7Ti347N3 4jrR2F5iU9UVYlN1Gcet/IeGYitqWgdW0ij9vs3pb7G9gbAgbxaCtYltCRF7wwNvd3+W565s 91Z4+yvImntrgUT8j0KKGjQ4bEru4w/JozY5o/IBrr3YP6HvVRWdhlazvqZNev864qlUdDi1 Q2hbmLh+Ysr289uHPJMjIvez8MQMzLGEewaUp+xJLuO5E+Niib+bROlGK2oSYY1kRGpOAcf5 FbEiRw4vN38Rms97BaZsn5I3bd20mKRD8R/hTNp/3Sd7ljmx8qyKFDmjkwZJ7Ure4NcWOx+H IT0a8juL34b9sL+zMxon5tiCHeVtZclzqKhii5EDbRUkF3wxuAHM3D5jx+4bu992Wck9LpVc JfPP8llaflYZTp3mMqDbCzfgGIWeJ/4qPkslMTBpKEqBsRHrQLAqKBOU4K0AT/+K0Gdx70vT t073TzyR0vZuYUHk95t+mTLgquAjZwbMFVluyznPWar0JKyraC8Llu2Wxc503NvOrfu+Q1wb kHnLaGED+2IVfMvDZ1EfnVuRl+DtXARxrXvLt2qMXD7sIqpTuIznTiA/Ah3tkEZZKCYPmXQp lIgZGSo/akxqeHFePWi/qA0MWTn4zJzskD/Jta5U3H3grFTE6K63LS7CCN0XMq/2vJrEAyo4 Car+P0vxeq4npiQG9FH8h9fJazR09l5RRyOD3l/cA+rNrwc9orpfmb17Tij5eTmXZZTA2nMj u0uP6C6UtMWlCPnfD4r3s6t5NVViwZImkNUgkNAPBzObhzeFcWvG5vts9l6ceCbxFxxAvd19 OAWn3orcH5ketjs0fR/sq17U76zOX9evw+J2/4ooGEF7T/81ZqN1kP/geH3byJb/t/HS9iGF DteaAbt944YsH77Hst1qd+EBS3AtO5o4tkn4S1S/ydUwvlNySz14mIw0NENyTw0J+/ReAtQK qgrvxr4Do1eOil91bm3XO0EtoDezZ5oXdo15EzzsRvCwuMHAhM/PZp7L7FrE7xonrB+f4+7D Zr5Ys1+8LXU0kyvSUgCwOwkhf1n9y2qN6n8JUwWF2mUMJb123dz149tJHekGKSlZmyfrob1N 9e3WBnrB1K1AaQVwfL9GQFXoE/cBTMuYtj3lZMqMi3DxpTuhzkZW3MxrW/r/vH705bL2MqDE w41yvquhol8ZCNobuK0ouaK0k2kzW0W+Dph7UXYlS/EjQWyQUU0F/gwWd/Ke5TA8deh+l2j4 Q1qxh2J/fDmsIdWoMtieRaSEzlEyZ1QDWt5EFzkPIdugdCaLa3iVm1Ua2i1oA6PX/LgzYv8i L7JZGxTFTHU7w8q6kjHpi9TPSC6k5IBkHa04Yp8RQ/SO0R0hI3/b10X8rfu0bVO2ofyR7j9w n4xDhPE/4vMLWDWM7QI7r+yc6Nr5D2H9sez3H2sHVeeVQvGZLFBIlAESuQxlcaKzSgxThwoh pUgo1mxhYxiS+vUV7yzvcSRse0Gr0t5LAUlcsGdeyuvzW4Aa6QqsSijto6Wj9phD4dQxNnFR WOLT+E8u5ZzP+R/s3kE42KB/4sdXDT635+uXelZarqqiscsBy/kB232jXSMhD2FNXf7bqOeD q9+CHHiWHhT5bS3oTSGFgFaqBpJrgqJxyCeCusJj143dE5e3xHQ/mLrzcPqL4SmDr2M1EUv1 6CGxtE+N2K7mgnEiDeHqB9eBsJz5yYLiVkY2QamWzdz2z+YK9gq3vW+MBVjHCx8MdIufddL6 8fuKoxpwrRJaOJhnzvD6vXpw5QdKO/Z4963UbDzdxuaaPDjvIcqclrG6QbfoTvDnpimpmy5u 6FJUIcBRSpfdPixEg1h+LNHro8QPOdWbios4GKj31NGNr+aj/WqKSBdJXtUqrAUk5iV6F1Yu WXN8zeetF7WgJKDG29EL2JmBsYa2BuTeMng7sQscvJn7gcsCHmyPSwjdGbKttK+BcRNankHP ZVfxz66nw6FIS1baTw/tQlteDdztl5YP+c3+4xrWWnhktm3ytgnZpm1e86/A6beLyrH89lgX tVjUFNReSp7XCRRpwXjUleCB3BNmI5uXwnEfnvsJM+XwfnIv2Hp5+6hCz1lv/Jpxx6mQOeqU FUGFjaxRep5Xoif2IM+vJodG1YDqsCgnytUkfsDGpQreFrC8jL+RJu5PRyle/B+8n7OIhP5/ ekBaqsqIhDBVZ1eC3kv6QkBOQFwe5DW6zXWrujZ/5aD5+4I39o5699/Ks8qDzEz+Prga+G7z W1K4fD7vQPCK+nPrg9ws46McbMrbUTyhhoYFDUmwQOfgY0SvhtyR49aOPUSe6xZkez5catpv cd+ryJdR1ECmjhspwrREX5LfWfRMfI4cIIOTv/g/54ZyUXsDCzWuhvJ9GNecnXOSy/p7cON6 OrB/lBLAKjpIVxysSLzVIMkfaZEHn3iMZouawDepg7NC94RMIdekbjHXSr8xf93gvzZO2fR+ 1LvX6wY/T7GYyBGIuEHkACxldwPLNtNGp7+p/M/WqTtq+1ajYabWV808kuXu9KSxPF/eVgos 2015hXOltSfXftUmqhWovRW3EHLqbcUzDCNEq6K9FHhlzMgpqheHPxuzckxy96i3YGDClycW 58b+RH5W32UxdxkWLtgRuqM02RRPS86FuYqOFgcYuY6eV81oXkM3KpN4LUc2V7uo1jB5/cSN u2DXyKJCJNzI229u72Pd5hP2ecqneU0WNAI3b+IFTGpaBscCAfU0qKTiTcK3hL6w8fzWIfxv G/66ceKxir6VKHMxgmzRW7nxvtTdSgUhIr5uSG2YtzckRaW4hd5bM3vP3DXPza5CDwvUBnMW +S6uiIOtl+r+lcCeaY0p/NnXnVjxc4M5deiUhMZHCXXm1ILPEvvf9No0PXrztc39nknZn3vx XAEZfgll/UqRWP/pQMQzlDjLMUTiKTScTBMHATUWJYg+KqgfWg/ei3zv2oT0CVuzr2X3KQyi RU73zPOZbf0yzKax60dldo3sCM/Prk69j8akofNPEu0b5k4os/RCUE34e8PfO68C1Mbmb8rx BOvb0W+AHHnsMSQjeZXRwgoVBodAxN1xOKJBfJc+/KJzeIgN6z2wb8QHye+CeiZOkes53762 WGoAvY0VOUSLAnov7XVted6yL5xL81tPr/uiZdgrVKAODyM1+QyevuWgY8QbMGb96JyofVGj rsLVOnJXOb/4hTdmxroZv1cJqliA7n7Sx0HIJnajoSBTOcHvRR8sbxug2dymMCb1+00puQnD UYS8sBfPgxN9Tdss4aPSv4U2US2gkl9Z8rcyimzXcuYprL7RIgjOPuEGJf+/duALEH5s/i4J +bDq0tqQNxe/CaqZMt6HEnlZHHMeHYdQ3UOkYNJCZf9yMDr9h1tE4/CQXLRnvu/LoQ2odJJE x1YcIgVZcinPIHlvaEBtwlpCzMGYWchryJ9PvnD/vPnvRne/4ulbEdT4+UnYqzGRHNBLBTXm VIHei9+DSWsmJK05sbKz8lkWDS/WuORymX2zdSozrqclLJT4DVFdhGwKEsZ1i3kb/t40dc2e q3tGFeG95cdu7O/y6+oJ+9vHtoVy/u6g8FKAQAcNmREhUQ+OmrDGssAreTry3EpoPO9lCNgd kE6epzQ+396bOwd3X9L5X3GGgs5yoV4ym+zVOSifmbGJt2EZLkrogTHb6iwqqBJYEQL3Bm1z 5iOksk+7vLMrEg+jt6j4QaO9LaEnfi5E9CPqpMn8l8Ge5bvJGbmPmmL29T6/doh6A5Qk7NWQ a6KlRRYlCRnlxPMJ0C2+G0QcjvB3VR6LWIE7/UfVmvecw3MZH7uSvFgIiMqGAI2OMFbHCVTY 72HjF8k0y/mXgZ5xXSBol39mLuS+oSiE98PxjhX5adMmZIzf3DamNeUO0ZLwxx3L4RJqwywN IupoGKWzSaopJEQjJ36j4BdhwaHwcKkHRV6n/ZfLBl7U+6g4NZ3WMZail4yKv+//YjG+VRiB jbRoKYekHgSTHJqFNIKU3KRg5+lg8n2LPovfvyLhRBmxK3ttZ9LPguvIQkdE+oskZC5lN8Dn 8Z8dzDyd2eKWntqZNYN/SP/uRO2QWiQEVnPlG1YswmtdJ6g2+GRbdu++svttF/LDaS3aE/1j g7A6JLZWMaV1bHCa1I8FP6DEFc8Aqnyi18FdzwhV3CwMIS7Y5KDyUpKQpRr0jOh+zi/baj0H pzs7o73xxm/L39ZvTPr3Ee8u7n6j5pwaxBgFWiwonANRfgsuNiCN6lODsLGCSMPARhCxJyZF rWTPn3Uz56OhKYNvaBGjaWHeTn9PobbI5Wo5P7yNfy9JIuEIvkUODYLrwpxtcyYXHr1POBoz u35oHTrl4GYRHQgU5Bx0HBDW4qqI5P0ST989ojOsuJAc5Ey5jXnp8pPLvx65ejilDdBQpRkt C5UtCGRWwdvhncBvh28k+d3aLssiK5IYV8MF9QA3BdV5whtifjzyL6zu0SarFQGtfKyebnY9 pfrS21n1TW/S0inaxnNehi+Tvzg/e3fgdMypFE65gFaplZ2FCx3+WPfHtmZzG4OHnwGEmQpq XEW/tqTTLHCtZg0n7iH/9tHDiOWjbubeONeNb7yKAXsD19YjJzjmJ+68akl7VHcNxxJoEQbF 7BhLrzTtrGJeBqFRJgUMXjEItp3Y1qXw/TwOR4e1j2kPcvI+3LiXorTTCOXyleSgxGJVZQw+ ApS3ucPwNd9cW5+/caxzuIdhaFxeVEzb+S1vYntAsKgdUwKoWInFj48TPvo3at+iGS7kPVkr z6SOeTXmFcphjhg0lOzR3VbN/uGy7bpxNXjqSZCXgnProUyOQMIZOQnPng+oDhPXjtufcynn r8JNz0twvXnQ7lnT3ot+b0v7qPZQingUrJKhIJ2EISy+pM/yCwfhDApCEMP6JHbA1X2XD/aX cp2QPUFJiANUW2XU4FEAT0NleXhf6y49F2v8cjE//Dcl5tRSXa0KgWXhx1U/Hzl189inRVFH Y5Fq0trfllf2L0/L6IyOnH8eSTu5OOPiipBYOVaS0LLJ3CZgzTLtOXr5QD/n18iFU81/3/T7 3kZzXiTRgowcOCqqx0V7hz4KqGwtB0PTvz694cq6Sc90Ezrnyt4B7yX1ABnZGIJdAyqziocS j0OBQ6DGpKc5j97RABbIpinvWxoaz20IXy0beD7qACWodGI2Ah3mP5GHFy34dEU/KB9UhmwY GeXwQ0NlYZaWhk3FFRaMtBel5lwVxMv5qknir4BeSz66tvfmfsc078aLa0M7LukAgpeCAnDZ +9TRiiIjqblb42IeE7kCmcyPG30O9AyVAirBHxnT0qSq3m1aLA18Nk3f3GbRq2DwNZIDU04O IzUtqKBOsaG494Q5IiXT0fP8VQ66mQJ0m98FInIj5zpzFeI1Xn06dea3q4dBKUtp8rsarsTC SERFbyXUC60JQ1O+Pr/qfNqQZ1JKCGVa/9k7M0MfrAM5OYXUZvUtXktve3ReTM9DQ6qyaGOs REbiOTrHdgbvHTOjDt843NUZoY58IOvPrPD9Mf2HAy3DW0HlWZVAM0PJn0tHvZ2RgmNV1Kv8 F8EL/R0zy/Ow19MhtAMsPrh0pMOwrmwd8t7i7v+qacldz2e/BK4eouYQJO1dVzsN1KuSMNjE vKeCGMcrkY1h4soJsYUBvMUtnC/bfXnXh2NXjo1+J6bzzZqzPUGgFT8mCGG0FX29mdQRl7e1 MvlZgeTgzwVVgQ+iep5euHvuNGfKAvJ9S9NOr6MoOStDqggbk9/VYcvCLNIe4Mvz68N3qcOP LzuV8sszJzSecSnD7+WFjUBGNi+qajhXqrS2kp/z0nOjlU5qqZLlrDJPjZpXtNTeGI4ZoWdc T5i2+p8leZDXwbm3Qm7Y8yvOrLB8u2Lohedn1wL9TBXZRDKuEaznCikaR2nayDF9xZa9+e8w Y9RRhEXj+Y0g+mj0IpWMpSDr81f/0ntFzyu4YSVVEayiuZk1XO5W5+AO/O/wV3T0vSRPqrEh FRs2nlXQZX6n60nHkxGCVKqow/EODtA6K8+ssg5OGXqlnN0NUPyuKO+FUQEWcCg/h13gwoMi 5TWkiBREdQR5woCln1+LPxLfWzJ0LHyE7J47q1d8L1D/I+fqKTpeGGKoGLwndYNrwc8bfspd f3712LsZLn3SvZeRuPczcl8Zm0g26xx5l7FEJXv4ZCzn+mPxv6RfJdBwzc3MelQiCngTb6E1 idAmrAPM3hOyBuCGg1dCSTb5ZTjTdtHRhXEfxfeDqv6eJBSR3zX3YkFZuhARDXoOLHuTcKzW 7BoQejh0nhTaIM7u6xWDzymIp2cNa+09VAZ1PNwVaSUPrzHLK5mhojLky/OawNT1UzJPQl7P wsiaLWe2vDNv35yQsemjsiatm2RbdXLlb4ev5TW6HXHnBbjWYObOv9e0jX6dvq5olfO8kFVc WZVT6xiy1Es5mkVgsCoMF8n1wL5Yi9BX4feNv+5Zf27VCKnfdvB6zphfN4z/v/K28rQCi4bJ +BxJeGvSkQOD3FMvFbQKfQX89lo3XCGH4lNvXHiKkA+bUmquGx1J0Ju1fAyD6fEaSoxxVzIu LmJnZVJFeINZhQybtVjaVYLSB6dmK0DPhB4wY9vMnSfhQgfkWOSby+0iXO0amO2/sk/8B1DJ vwKt/OnvgdS0OOPC94ahnYxspi7RXSEPTr0meYo1+aumtSFhp9pHwSFGursWjpOMUsOb1Bqq IsJCKkS5l/crA+PXTzqTdWlvr0L5ZPW43MiBP6aO2tQzuuvNxvMaQuvQVle/SR589o91fyZv OL/ptqoj2TezBv22cdKBpnNfpAeHxqooMvxHgzNSXTQVp7bWUYCyu1mgPUEML5suaIyFpGN7 rmX25e+t7JbLG8Pej/2AQaewd2hnIa7RB/uH5FqRwxInr99Z2gkCDwSZi/LGT6P3qjF87cjT ShICKTncBRNy5mFKShtY5M+rdaLJZg1gLW40H/J6Xmp4aV4jGBD/2cmQA8GzkMdPKgdjdSzi UITXj+u/P9k5piN42EpRI8TQieVlJZcfIqkLcll0WtoN4o8v/0EinTkGhz/pm/AhqL04aBe9 OyId7laVkYaLaofoAcKijCZyTbxFaLWoLQTu809zRqIjAmTHzc2jx6z54VLdOc+RA1BJe01Y 2VPblFTZUUcOpVcjmkPInuAEnDO7HaZ048m1PUekDDuDTMuUxpz38pgxqJ1gWwU9RTaljagO I/1dDepmewvwXuy712OPxXpJ6I6ci3s+77+sP/GM5MCkDW01b02ouWdmonk1g5+DYSlDTqUd Xz7sqafKvggXX56wefRFwywdnU8SOdTHzaIt4aIGv5HYwCXJsmgSoGqwJ7wT2x7+2TI1b+vV 7T86V8SwZ3UM9vWfsGb80QZBtYmXktExeAOXv9HZpSLF/R8ERt5XQ5BuPRK+hGbHRjrlFp1/ 3zzxptZHoPmY3ioVMLR3rwSDv48e02yglTwMtTBfnLx58pb1+ev7OBtVxpV1M75PH3q23rxa lHdDzdVIJMo0NE53E4ZsRkBOw1qzq4Ftl21dcbrLTs9d1nuLKaBz9NtQ1pf8LeqAoRCDychH dVjYrrUaaEThYdIWNPV5Tw6vFfYYKwaUg8+WfnI1YFfA3PNXz9fDg+G3TVNSW0Y1pQOo7PDR 0RCRFUtILku8pobkYu0Wtga/XdZdh27u76OUq55qD1Y76EDA2i7hHaHO/Jr0wok4jFcCzFDI 94CnLd7EMn56aBXZDHqGd78+ImX4lsijCydehHOdCxlV+eS85MDpO/661Cq8GfFsiGxXc5wd C6HcLFoudyM6EOf321vTmBTwQmAdsGTNXivNO5Gvr/6RMfVYWZsbS9AdE76sV3Y3ouxU7QR7 QuTkF8jB0nhRUxi6fPiBiP3RXjLuIZGsM/Ho0tnfrxi2q3Hoi7Scjo1bBmvSMK+Jhx/ljFdR r83muLBXKUCNwGrgvc1r/Z2UwMnvNDNt84ruFt7xRqWAsrQBreF8Hvi5tLytQPuNvkzHi3kj 9rlxyBMLOXh/3ImB91v8ASw9Foves17ymRX9P43vf6kSMT6FVUarj8y4WJGERi0460Ye7yb2 gORTy5Y+1b0xbIyegTMvpp5K/fb3jb/seSuqHUVki5xQxcBnkqRyrpR3GJzwd/TEs6gZv59J Tg3guXlVSKzdGQYnDNo9NzskIedmzgDcRCqnyh9WAS/BpaZ/b5qW8m5MzwvV/TxpPiVyMKrB UlAMkJQQHRPFNuEeii86/v7ZAyt0lf0rgc9OC578Ffj1KOe95Z+jpRDVbmaQJJYr8l6chYnD 3fr6t/Ihskau1nGtBLIRPS2eMCRpyNENF9eMQ1Q+f602SacWr/pwca/LlQM9KdQKZYAoTZpV x6uPggMIzHqBIi02UIQN9+AIZ6swi+Rtq8dvuVMyGgwlrbusAW/GvMkkXc0FVVWs/hktEj6S TR0YJfYsnnNSAlI0bh8lVLSXg2+Wf3UuJm9RTxyRse60Tn0rugP1Yqx4xeFkjvybeDKyT57z rQRDEgedXX1x5cCnXl8ZE/h8ONls/KoJu9pFvg71QqqRi2ggF4LcUJxVIicq5mgI4NR5q6jB eczSgye5sa8ubArdIrrCiBXDTv6xeWr0jB0zPrsO0LQoskv+Ws/57w1Ifzvq7Rvl7aXITWLU 0AabpkiOiLs1oqJ6WjSXoLmghs5qVbV5wpy9c3OknAWFAZccWxJdJ6AW+azFE6fqpeqqQ09Y 6xAKl3gPKegW0SHEQN9b8i4Ebg0KlypteJ2zLm4Z8NfmSTcaBNShXBtqO6MCYDjFu/y8NjbB XMlWHn5YOfLEkZtHvr7Te54P+W/+vuG3HbVmVWX5mFmqoDKPxfSTGX1AcQ149M5YHKsfUhf+ yphyGNsl2Zd39x+UPIB6N0TUS3NlqLCCz0k5+MnfKYgBNife/J/Nf+UevJn985329p7YlX52 9Rczs/5K+iZt4JGuS7rBW9HtoV34q1A1oCK4BxhIzF0aWoe/Am/MaQWdwzte+zC2Z/6kjRMP zMr2D1uRt2LsSThZ93Y9GfRg07bO9OqZ1BNK2Y3EUNW0+ichRUrGuLT/k/sZbUp6Y7FSJ3qp 4f2YD2DHpR3f8fckB7jScdzqn85qvQR649lpXjRcys2hfsILQTy/YHhBkSqJoKJIs/mNYc6B oLUkx23s9Pk72bLNBxoFNwDtDC0tW2up0LiWq6rcC+029gjl8FJoPZiVbc/Ga3wn91olV8vW nV337qCEgReqB1ehA6bYxBd9WeSCYSBD/RdTnaWlfR0dT0GER7uwluC1bfpspFBYeDAs4o2w dpRWTiR5sxu/LwUQN1SHIdfLR4T2EW3BZ8vfeRlnMwY4j9c8zp5In3A47e9vl/2wceKGX1fF HUlBaIrnXYQOmutw/ZXj14+22npp7Wtxh5b8s+DIotnxeYuDtl/d0uvc1RMvYOURQ6o7mfHB MnPkwci5vZa8e638rFJUJ1gaIdE/YMIcPQ9N8KQVvRXw0ZI+l3dc29FXem8Hb+7r/9vm8eDu zVALEki1+OcTqZGymS+GCdTzsRP0RJ5+VWDsxnFXNp/PGO1cHbsA+R1Hrx59A2FWiJAR6ciL kuMoGSTp7uftRJ4P6mjPqTR5L2NW/ngcc8e72CuexGtPG5jY7/9KW92JZ1c55baa2/b2GEBY TefgsLXgOasCkNz6xN78Q82O3DjwzncrR+TUD32BDpvSURqrhBrBQ4x7ShIpaEg09FpYcwje OxuHUZ9/bMO7dec3jx6a8k1eldmVaf9GTT5E1cCa8Gpouyufxn199c+Mvzcn5Cb9JMX/D7pw EnY01Dpo+WcHsSQrYM8IT0J+4jOec9WDZ9xF72IS4KOkfrDj4q7RTu+v6R+bfjuvm8G9J4dM GYodnWf/X08MxCjJnvqqQUlOaHfys36JfSHyaEyc8zgGHnRJJ5N//zp10FWDNw5nyhiCnQ5Y 8hzQpuNIibvv4WGRgQny6Sj6383mBr0j+1xed2bd4DtBdkjrGlx7yWurKa7rwk6U2AaBz9hY Lo5GwI1Tx2koH6PIDUZLw+E3F7WH2TlzsGxffu3FjT/0T+oPWh9yH8wqp5BbpMUaJt6npZXU SrPc4bOlffMT8uL+uBOxwIe6LsHVngPSvqJhCSLJEYSqxGatVU5jXKWXjFbx6s15AXov7LMv 8nCkaf+V/W+UZP8BG4arz697NzDbP6Z/bK+bnkHlKaOtVuI1d4IL0eT9gQpDsJsuzlRA2/lt YdP5bRMK3uf1Nj+mjrxWxb8SOT05DIsS0Wj/k3ceQzg0BsFOcqYZCmg8txGMXfVz+gk440CX qEnYdQJODPg94/djdULrgsxHTsMsN14I0TmmlrVcwVKkhnL3LFhqXvrWUoIcbK0gkU6PxPdg RW580N3cO3zP5Lo09d7yV3STuY1Jzq0o1oszciAtb0KzPiDNzzA8Jt6vemBl+CJl4JFcONA+ 78bJHv9k/nOw8YKX6L7U8IIY1WfGPWBmBSCR/ExpkkOT+Y1g8sZJx7dd3TKmOKauh+21VH7b /eIqBlcgJwSnGEPsGmV31VAySjojRU5anYUJDpQLLEVyqjYwce3ErMS8ZXjStL4XZDNi8ZDn L+pQ1O+j0kacbBL2MhhJTiWQiyxSQkxySiMaAk9mkugazIxDkSLSSxTTKBbig9eAcqYMei7t Cann1s2TDhE8ACaum3jYYMYBTMaB4WYy8PETtUNVxPl5DFyYnWl0aUBBTvaaQTVg5JqRF5ec XuKldhrYvAL5b83Y8ueWznFvgcEHG7Fy+nxuZj0vrKgciAkjn7jW21iec28KLqyS526SckwN PUzbzW/z76b89T/dy+GJVeReS3sRY5Czqh/v2TE9bcGpuMPAyzRHo8ABNRtNwcY3ybd6LuoO q8+sQzYp7eKjsT/1WfrBZb2PyJE2OoYLlVou6BEx1DWR/TldBa3Cm8MPqd9et2f7/bPl4pZO uMceCWEO9o7Gp03I1HCaZCNlR5JCLx5D40MSIbAyNQ+jjxZeW9QMvk786vK8/SHpMUfiRuVC bkNBIdzp65Y5Ake6RR2LtA+I/zy/wby6FC+otij5TdE5gKsGLnVq4Kfd7eaO7sfA2I0WGRB1 phomrZl0mrzP16X3nHVlx7BOEZ3+D+E7BgdKQccbxqzFIOVRWifjwmFGNEQ1bihvIwyM/+xq +sW0vwuNaWiij4Yt7hrbkYaOIhX7Zu0FIzdY/S3eQLw9r8Zdoe25cVpYLlPeXga8t8w48F+N 5mLua+mZO73XVAuuQSuC2Gcz2LQOSjtJekniTtTapHBRzdsRGlBZZeBpLg9/bPxz30E48iYS 7szZFxzWbEET6l1p1GJhHPr41Z0aGIPM4TCvloTRtQKeg+5R71wckzZ6x6JDi7yybmzGSKva wzauMiOWfXtY8JPzyV6dA44kIQsK5o74RucQJdTTFchJhyiCGkHV4b2objAycXjGjG1eo7dc yRqQD1dqYdmaP2pmXdrzSsLh+HnTN/+99auEz/LbR7QmyWwlisPDpumjoltjI+68CevN0N+T N0+BS3Bdwgy6bb2U8Vf3mLcoNKd4ZUklNTqjWQK7FpywopccXgquB3+snnrI+SZj6+E4HPn0 n13TjlYJ8KQcGAaeQ2Hyfv+V0LvFU6opZ4ZnQGUYs/aXJbeTk71dYSv6WERM9yWdyf5Q0jyR 5oqU/15PsYn0e97YpgzCNt5WwWoi5edXUdHAnvHvQPzxpXPQg6WcSJw2ILEflLMYqUon4w3R co8o8H4bC5mxoopzbipyECLrccuFTXBC+0bogbkRF+BCO8XDYKXCjfNT6k975CTMEYski5Sq YKIjJJEArQxvxtHaZCNgnwYT2qpBFaHhvAbw6vxXoVVoKxJmtIbXyfcvhb4Ilf0qUAV5OTmd 1FYlJzQReKj3iAYvbayvoiKes8asqjAl47dN1zidM4aCMUcWL28f1YYeJIbbVOYY7KeAuAaj ASwp68gh9NHy3rDuwip/qfksra3nNwR8nf4F6GZqaDmeNV4fFZUChqBIIaAEDXnfHr4eMHj5 N3vvRbkFiyLr89f0/jJp0BWtt5ZKw2JuZ+TleCOn0mbtCGlOjFcxeTUVYVU4WFkzpBZM3TJl mUGtp+Dk2TnBGa9HtaBQN4Sb4XwYBXdzmgJmcDwv5ZA1nC7HiKu83QN6RHYFr03T1m67sGHY AycxXXMlfXCXlLdp0ohvRl+EiuL/EEfyGJomlzbBoQPs4CLHjYKK8VYVzR1EG3kguFMSlbNo HCgKhqB4dMqVGLMLxLO0jHgFwo6FxUtDe/g1OCcoqU7g89RjUQ9uKZ60k85sWRmHIUWwk8/c eEFjmL55xsGTcLKbs6okXIRKKy+s/q1nbLf/Qw5Dx2gHHd03PDr6BJLXMqE9xDYSbxCgh36L ++45cPFAk3thb8qH/Ff+3vT3vsahjelICVIjoAiE1pcZA51Vo9fUQKe6NbTvp+HckjpqNHhA VfOvBCPSRhzbcGXbUKxYZ17bNvPXDZPONQqtT5U0DVR0Aiuo0pQ30zNjYbvWkVqgESOXic6q gKbksP8oqvdh312+AWfhbOMHZmDJeUvHd054C+Q4FGlniGo0NCks0RcBH9LzkqjBonGEVlh2 pqh2swR7YXM7Wk5GyUTjuAiAY2RFuG2P6MGGhQKthnZb0hW2XtoQ7ISyLxW6P2xOg3kv0Jth 5DAlHS0hC8We/PhZsQmKBJkfL+57dfW5lf0xTCp0qr8wdc0fp54LrAlak8A3nJIaJPNcj4pG gXkOzD1xRovdH5HCywYtH3T1EBxqe4/RkRh/OH5yv7iPrlWylwWdl4qS6bA2AqcUtzEcpIHz ghh5Q16iocOCh0DuU7/4D2HrlYxJ/Hndt1za9tvQ1UNO1giqSjyZkg6vYniOUYOOc0BKUwla Xvo3croBDTn4BbLfS/u7w0cJfWBpXvRfD2QaGk+D+Nx4c9OFTXmfS8lkQ80cL2YTHTg7o0Xj wJJJ0JsC3ju+MSiWjCepdOxCz4oTNk4ig81Zu4bSSjP8mY5PBfOEV+KM4B7RKOWC3BAdhQ5b AU21lJTjCLwkOEDfg5UBSXXcqxitUn8F54dKw8CYzy+sOb2+t3QyX4fLr/+5cfLu2kG1qLax wSbh/0SnSWX+PixOVNk2VohAeNdPa0adybye85rzNUbPdQj29x2/etSpMsQ7iRKhjlVHvZUk AqF/hIoyWNaXGtTsM6lpDogY0C8SPr2AgNt73WOX4VzLsNzQhR/GvHfa0+4JSh8l74mJjuFb RicgOAEFdKyfZ2cNc2GmGlouaAb2HGsKVqkl4120N+zXH1Z+e6r1opbEiyFcjZGU0mKPrcBI mScroF0wcPIc9H4vBNeEn9f+lHMS8nrcTa/vTg2s/pDUoYfVxGUrbQpQzFCAmuRHOoxrLQWa wHeWGLNmH55MbpyPQs/JbYzcQNHlC34qvrkkYG9BPmeQuC0k46JeT0WNxLGpebwubUh8bjQu CtjlcTibjxKpggczcmLUFta/a7+wPUTui5yFvRo6HCoXZRH7I+a3C3uNxvuFvcgtxmUTOFhZ Qw2LamaRv+kZ2wnSzqX4qJzK7Bjbb7uyreOM7f/sfG0+hkgyp1EUSZ/40cvjsusq3EoERH5G J4zJ+15yMG70ve4vHGhFWoH5B+ZaBqV9AVVIfqvyZiEaPbzMPNWwCfx+Sm0Nlj/R4hP+3gwN vBvfDaJzI5KcJhP0my+vHzV1w5RDr89/DdytRvKe5ZQVS/o8RksBCFsvjcXwwxYb6ciF8tqC 18Av277pwM0DnzgPopbIugCnOg5K+jIPu+ciyQWUPiqSb6gom6rgpSySvKR4yVN2QRg2TMM6 8hw1buTVHTprRL2Iksb42EvDkip25TU+CkpgiVUfLCYI3gra4FaTDYzvBfMklPkpF+gBZWYZ KUwJq0Mqs4wSUerMLPfBE0/0FSiqA2nixBkCvBnbAUiYsn/pgSizVq2hvHs7r2wfODPz76UN AutR3F1xGx2N1h3nmky874ZlZnJjKvuWh+/ShufGZcW94XxNc2BHv0mrfzr+Gsm/cBoAkexG q+aRhcL3GjKKxGu8Gf0WZN7MHHO/kxXk8fK8nFC/zxM/u1B/Xh16TyUYmdHMWjAS0NnNwQjM abgR5Oylhop+lZAL8bQ1a2ZW6O65QWvyNnQkz9voBJxoPCXjd79PFvc523J+M/AguZwKh20t IqfNY/1Cd5PBIW5IG9t4SJsU9EBuE/46TN4wecuOczu6l+iwJnmy5uM2jqbDagbuTWheRQlJ tHeMzWMjCKKD/JLOAGEDloQdCs63gNAmZGGqSEKpmiHV4Pk5NaBuUG1oE/k6YDP1ncjO8EHU +2eGpgzN/C7x2+zRyT9mT0gdlz1+xdjsSWsnZYfsC0kJ2Ok/znenfeqU9Mk7f0wdlT06fUxm 57BOF1EnC0HDyPGu99ZAaWsp6BDeEfx2Wk6egNzeOrVO+ryVgw/M3toq/DUojWP1dNq6+DI4 ehktrZSSh59AhzNfDKwP84+E4oxXdedrmXF+3ejeyb2pF8TCDoZ+KHZAr+cTJHChtTIsIhZ2 ui7qeiUP8muW0F4rv/nS5qCvl39B9aUpRtGJTluq/hl5ji9FN+w9ccLRGSrw9CsLDYPrw9CU IWDaMsOefXPfsDw48d1BODpmwe6Fc/vEf7SrflB9KO3rQSfUdVZpzEfkFW8VI1elOtQiPQC1 JLzsHNMB5uT4R91LS6LIhXrIqadSxzda0IA2FaXO+u242v+XlZbBdNBLIdmJmnieUnY9vDD7 Oega1Qk+X/H5/s8TP909LmPMnsD9gXuCs+b4rjqRNmVLfsa09IOpn2Vfym5+AS40uABnkFil FM5yCXKB6gurHf8J/4P4wJ/h72LJe/G+xb3tWy3/fJv27RRTtinDf5t94YGLR5s4KXaIu2/s fmP0qu+PVfQvzxq3FsFpPKSYzcZHInQoVEBuVN05z8OCnPlb9YLhlhAo9XKq94dJPUGYLnMM cBp4H4bqEds0T4xx6XgFzsOkodfoty1/YIm+YonsN/LfCTjc1b7LlNl2QWsqdaSgBLTaW7hM tFIobhUchRDKASkBDBDgQCKaMjYDNAytA41DGkGPyG7X/8qYsnLX5S0Tjt889sOMrH/sH8Z9 ANUDqpN9qaZoIMMthTfG38gQMSKJguT04B8Q/9mlRfvDUKutxn1/4PNwvtW7ye9QOAzCn4rG 8t1aQZTU4/HEpzzrJEzzsBmhRUQL+Cph8A3f7b6Ry08mf3IBTqPkp0Kj0MhEhUiN5kEvifbM mR5g+q6Z29osagEGHxEEKi/EQkedxY2yLhVnYCg5hH2bWv7V4M/1v5+zrPP5dOOBTGcFEPcF h+avahCKs1cynpOJFBsnciEHieP+ifFctMKroWgIHHKtF/wCLD0cN0suk5foPcq+ml3Pe4cp pfvirlAKm8UY2VgFB5JD2m+ScVEAsE3H83rGq4mVRhFn8VDdE/NmErLXCqxGcuEeV2btmhVI 7s/AVWdSRkzZOmVVlyXdWT5uUjMtBFrt1tEyvjtNKwxUGQZTjVpzasGENeP+7/DNgz/dr7v2 8Mn02VzGV1+A1HAK8SRRgIIKHvlwdpYk4iBjrdnPw6dxfW/O2xsYsunE+rYPHXpS/Od6JfJY +LRPFvc+XZp4UoGyELFeFxqUlp9eeh7S6q0FlUsGB2MHRwV/D/g++ducoiRLt17Y8N2bMW9Q fWFWumfEO9LErpSn6R38hRpHom1wUmV5vDwXLy7w94g58Ki1o66Qz/9SSd8jJfFkx68fbzn3 QHAESQn+LWvzANGHc0ByWjfmwUQOXtbxOTH2bwqzsnGqBYrAVzMKcZKnoVJqp0WdYOaGGUgZ 8A7C235eOyH61UWvUFkpHc/1aAhKBedZxRv7l3RujTxH13ldryXlJg2/r4pi5KFwa81QTwol 0TvG0QsVLWwa/gbQuAQ6c/VcYBUS+w67QJLMgMcCnewEUl6Zlxo2IOmzC9UDGcuszq7lQFge 1ztVHhEGxTSUOV8El9tBParucZ1gWV7iz0W9TtLxpFGNFjYiN0vJ5q3sLI9ws7ATVn8LSFj8 H4zf4xgu6ul7YzRqeF1wwvztyE6Qtj+t5wO8Xy8F7QiK6resN5S1uxPvoeQUDoyyQCrh63kb xqH2YhNv6WPqeCEEPRoKAOJXzOXtu+zr8iCv+wXI7/vrhomHGsyrQwtiGjovxxRItRwcbeRt Hyrray4Dk9dMOnwejr9+78iNk6vGtF78KoUq0Z6BRfJWokNpRGfn9FqIciBvrHVkS4jPXRJ9 L6DPB7muwbUGCw4tCG8R1pxScxvMmttqAztLmNKGJi25i3Ty9s2oNyH1ROrfxVWRsi9nt+m7 9IObcm923bAByqiyC2jJ3LjwndEhAK7kSfXjGSrSIg6CC8gB6uFjpO0Qd7sBvo0fbnuQ9w3z MXKd3/DLsachggZ5NrRSL5Dnr+z6CYyCzqK/TZFN5+h5qTDX8tHDK6EN4fuVI06ehtN9V+Su GP7lki8uVguqxmYIJU+Ixmoy0tfT25WUz7GU2Q18t1l23/MUNMCNdoNWDjyHTWXBRw1K8oJK LzmoZsipuABWwLCpJ5CcRUb+X5WA58Cywy/qceOZW3Fs5aAvl30G5QM8KP+hNNavpyGEijWt i8h/9I6WApfZIYdH99husOr0mu//8zUPJU4YlDwgt9mCxiRPcSd/i6MUKsoWrJGa2RaWy0qw MUkfy2h5DI3LzNEjFPvHyuFY8e0b89GF2/EglqAXU248sy7g4+RPrpa1lwKtD4sGPMxqSkaq 50xXepv6tuIdbOqBGSHmVAI50BAs0TW2KyQeiUdOjsqL9i0I6xHTleXJ1Mj4wcgb0NhSwqZ6 +8gOsOZ0+sh7Dw3PRkQ/F1IZ5N4K+lDMlNHTW4uq9eThTjYNwkgMvgYYlTZmX0lVkEoCcbL/ 5q7vRq0aFtR8blNQmOTUO9BmNZVYVXHlkeJ5F418Fgt7IEqLHLCSteb0yol3msRTRZUbB9r7 Zls29F/y8a7u4V3JSfkSVAuuDOXnlAOdP5ukRfIebFFoedP0llDRpn08DMyi5SGZSOWZaOjq o4WGcxv839KjS/s+vAjkQiPLTp+NbcPakINexQoR/9/edUA1de5xJGQDRQVxj6odVBFxFbQW qfaor8PRittqHW1frVZsi1p7HOCT1ooIZACGkQCCsgyCyNICgsoSJwoFg7EPEaxVFET7f/f/ 3XsTHKVUA+h5fJ57TjTnmNzcb/zHb8jonJ9YzTaj8sUCg00ZUSCBnAYAWPjxidjO0HBbkBf4 H6C5dbecvc/45jnHTyQeCahuRhsqsnw0ESForji0orqlMhiPjQu3TrtMip/QiCxl5OcIHxGF IfwbaoLMSXG5Tx2ts9t7UfGNBUb5t05uXpAyWzN6nz1YyqhTg+ieC5p4aYkYcweuDgnQHIkS NfKHBg8B9RW199Naj2Lj4C78Pii3LnNERnXapsgr+zZ+m/Kt0i1r7cX5B2fBsL02BLSKqAKR L4eEXaSY8txUFIU60U4SKpGeEPX85eawIeeHs23pe4ybWymUzvEs8KyyCXgDuJ5UBOVlQqID oTf1m/kx/dhHfjv99+czftY0O5wgeKh/xwXmFD0WjlxNm8Fu0OfunF749ZGVl/sr+1Dz35hh g9PVU3RucUl0gZp7Nx2e9gToPTN1Ri26nAiY/g67qMwYGS1jKkl0zV5949EGajucVr2O1xz/ +Ifs9drBe/sB5jwiXxoGpcM+yhmbHAmt+d58ZY5GwSPubNnhpQ+w+2+g79kZq7EV16/anPqj 4KO95arItb+suTIhxhn6KHqACNEnPsaM5Y5e4EbPP2tasdXnjeJWXly0aKdQZ4iBvS8uGotH T69ta113BEP/er/0G7dfvntgscucpClIkkTNRxHRjxQ+tjE9bO2rrwCzCl3YIMeaQUZl2rKm 4WhGVYrbivSlDRbUpoxcN+JVJhOSxfZJ0ie3EdL1tDfBXXdyQxHPn6aPmDLikkS9iFlcZv5C 2HR8fUGrc2OaIXyeqM5Rr/7lq7ohYa+TTr9Qyn1o4ukBtoIWykvzSWwt9hXBEOXrcKQ2LQh1 ClvxHoQ3oW7M/ov7PWRnJWcXHV7w4OU9faiQhJo0Ply9NDeKhvrr7wthZaxmu5DR+GtqXm5o RazHFK2ocNk+1P7PwlvFH7fHs6+HuvcXps29LWA8AcRMZVuo4xpyGUaDWIcpfPQezPxMieAr gol9inzKn6QkhVVvjwKPM4NUA6iUiD7B+AEcWJW9KuuZagyXoNj1zeTRpFtt+pBMs4C4Mg4M HQD+vwb5tMOi4ufezN26NnvN5QGyvo0otSWWmDzW1H76iyY7jg4fBelVR2casmHafJ+HIExe jqmI8dh0YkPuh3FTbveWdwPBLnSBNKJVbhkqhTmDUhDp/IxZGr2+RN3aTG6roK7wVc7Xse0V saRqk5ZOinOiQmoOnXdJRDpWslgmfCJd6mFLKFqS/cfzuyqbq3IjOMA3zzv6dcWrYOSNLae+ IDstjf8rIdsWJpEwxOWgC6GisN1wEeuUKOHCy8p+EFIeImvDRWVZWHdi9c9FnhWjw+0JBAkR FiJmlzLIwpLRkmj4gNB44a0Ix0blJSV29/u0wybSZ395VPyXWV80ICWoi6wzAVIThSpymolp /pWE1mqne3PNl6UNyeI23cODcaqRh59pkj3jSKg48JVT5NskZ6XN3GllLCJAKmOdY5oxM9zN g+mJ0xvybuQ5/91nyQsCFm3J33p3d4FU/cyCpJjYqasOpluHWVJJH7U7eCNKQUSQ53gNChoE YSVh0tb+AbGYUHn/8nLPom033wizIQh5kS9PJ55jZvCJQ+MB8eEgQNTavwvMiZ99T3VBiQqx dm11kjXNfzUN2jlBZaFxMxI/vt8/pDd0CRDRalmkWcrV5Q90wYbTBn0zKhQNMAHnyPE5baFp 2dxIr04LcogdTTh4SD4VEcVkfgtOcDFJdbACvvDgwruVUDm1Bc+ip8E4X1isWJi2+C4xH9/Z iUr+uMDx4pKKSbeAHuB12i9MwBG05sSy8jstPzw2yoEk/CyTlfg6MU1OU511jeEmjpjN12T0 a6LDENgVPkiYBjvyvY5crC97rz36ejXw2xvqy7GrVZcU++eq51bZhtsQmg72nsQSeqMRyLlt 4lndI7AbrElzi2jPk4uZI+KE/yYU2SmHEjVeXPSmjB6HniP4ZDVkolAlpRHxTvvHw/rMdUkF 13Km/p2Bu8ES7q3FHmWcQBPCozKm4luTn7nA9UTOlQA+jPuoJP/30y60Rpzh51o5XPh8Qeoi 4HhTn+drpCNYkkYwIb0xrpQGxOWx1TpzCduApMNNFCu1kJsTvXLPPM+Ckjuls9tj18Y+GjKD Iy5FrF139JvKibHOhLRJZL8l3Mck11iHSLMWsBpaDOilFrR9pC3EaQ8uex76m1rQLp2bOPuB YCeX5FIYGiLFRyhrDlbGI3QasgARuREgBgfVCHDP2niq6GaRa5tsGqElwV6D9g2mFhYSEk3A ZBcVlnmJaOQBtdhG7hsF85MX3NmWvS2j+H7xx7fh7ruGKNHWQ/1rXx/5sk7kYwwm2DjUQbCE jHITtwmj15Bh4eM9LzOd2ImQcI/w9cio4TAvbu6vkjO+gfn1+e+31NTA0KVpzf3yuSGliuT5 CXPrR+4bDl39zclzwSY/ASRL6RPYrKlMgk7Vi5WY4zU5/fU6FmIpq2WpV1jCi+eLxEIHqIfb U42ek5FZmzl3efqnNOGW4F5N9eYaTCWVvk8uU1WlJQQIEVPG6B9KOGDmKwB7lR18lrr0Yrwm StqqzxULCd+f+qGKQ0htYl1OohPE9BUC1wfhKGbgGDcaJh94F1ak/7taUihPOnPz3CLkwph0 +ueOLydqM7ePIbE0h3EL4TFqsUKmzMrXwYeEbSDRJvSnq6XmBL5EqwlhTmYRYAojY6iHkbHs TvB5RWj53XKn9tAuR835Y79lvu992kvx/fHvKsarHOp7BlhR+Sm9CXLlHEa0VK+JYspONlZW gVEPptstXIYNzIqT6u1lUS5hTtysK4+K8LTnwNxcc0fz9ubjm7XdpVaknWHGlOfFMkaTRaI3 sRDJWJSHvgIqYiQl0H4Wn23PECtwSZh5N1qzzx17lK3yxSvqK95bmD6byD0TjByCTWVMbM/2 EuSYYHMIskFI5UcvUQnj8ChbmBY37d53uetz95ZFBKdXHP0X9qf+LoTEzv/uwp80GALy/FnB Eg5J3sUsFs9PyCTxYsMXNZ4o4mLKbCp0xU4vRskniq886nTtqniJOtGGwRepK6q3HN+aGFqq 8rjRcG34owTPtmhX1MH13uqyGAV1+p+cmTgdRkXa0ToieKr50ipJIp3NLCubx9fpL7IbKOuF TSBh1H2aeJnA7OTZcB7Of2D0HA5U/w0olqQjZw/vEyUjaPEbAYPtFDRB0dOy4ebMHCaa9nIe o68oJlw8wW4+vBE8EJalLK5J1qZsNrhSlHEnjtGZOwWuG3PW3u5HfRCWPrk+dLWKL+/EKCzR 4vrmjDoUseDEyqIvveis/S3ALmwETNw38ca6Y9+pNaDp0swP1GlD1kZ1z6DupPuOEs89VZZg 4fcSAROj7JeAQWvT/Qxum+hJ0ObbHEbzQUQ4YTT6g35YhEFAwL7UffvzAL//giQX8DzrnrU1 f1OQ94ldIVnXs8Jz/5u73T9T8uYRbepbqdqktwKzZA7p2tRPM6pSVmbXZLhT+VS4+mpieNmt sknIEDfAhBtT3FC0xCvPK2Fx7KILU+MmwyvhA6GboisVBokB9diJrDj6Xks7kZ0bG/J8mTGx pBXuou6dCs9Hhg2F74+s++3ivYurOcYco+d5HKs9Nm9dpptmXJQjWEktiSgO3p+QiJ+iJr+A QM9Y5TFEHplL+U2gcXoDEAyxjb2NwOmgE2TV5u9orV3BOv/GcQ+vM9trFx6ed98hcgwMUvaH wcEDoFdwdwLLR20JLpVYI8ARk2x8aCgnhmKZaFqOjTjHveMgrSqrWVR1Jfw6LPS8IuFT9ZL8 zZkbkyX5Pst3n9p1clbijMbRYcOgf0gPcnKiZh06bOCOLCSmEfoLfah4zHvYzX/0feE/suFh YElMAYUwiyWMfamfmEFMcBl5BNqZREgoOQjNMQYLKep5WECfoN7EANxGORhGRQ8D+31D4TXV IHg1dCC8ouwLvcO7g2WAJXQLsIAFqfPgxLUcg2I3RTwR4Uwd0hxaLD/l/x/FGUXBkrjl2UuS V5ybf3D+nxMinBrHRTo2OkSNaXSOfqvxnejxjfOT5v8ZdD6k9kwdEW4RGb0gA9FDJY2XJ8qK QuK/OLq6+oPE9/8cEzXqnm3EcHhV+Sr0C+1FDgFkHCNYAk9mAZV34eaNCmg4f5DD1ol639jH CKYmToaC2+d2t+YX7lb24OwmtfZAkGfe9uSVKZ9fXXJowZUp8e9enXjQGcarx8JgxUDo4W8N 1gpLsA7sAhZyEUHV87150D3YGpamLb9fAppmUcUmxiZGtQ21tvtL948tulY0HCFZ5VA6JeKy KmBT5veFsw7M0E6McQbH+Dehb0AvsAqgPkdmSia5hdyUvLakPtt6TxdqsnaGLlSibyE3o9+j LnSrRFNrYpsqoxebXlKN/5jkmVhHHmUgYHKuXthUwuqds20CHuOfxUByCOGQXuD4kIzxhEBF KAxb/GiddgRIC6gNCc29udRDxnbHqPhREHMxZlUrPUdUY7KuhdpxUedjRxyqSpkZr4kN8c73 DvQq3Bn4Y75noG+xT6DknE9g7JWYEC1UbXreaEUtRb5UQ/1rGb/nuKnKw0O2ntwi35i9JWdV +pqrMw9M174TM4FaaIOp+dEZzOWmBCDRWdYZMEKz2WsD/YP7QDe5FYyIsgfqN7lyA25NaLMk Esv1GOPjjlYDNWMv3TzvGF0UvTBZkxgZWxWtVFxWKL/OWBn8Y7FnSVCpoiy5KkVaBVV2zzgx OmEy3QANdieunXj7UPkhX3mZPGzDsQ0R2wrc01yzXEPWH12vlF6SKFUahVJa4qPcdPwHpVuu m9I121X5TfY3yg3ZbiFrslednRz1DtgH2YJdpC10kVtQuSOfVqhCF0MJbRVryugUsrJxIqZP Qi4GZiNu0j8RN1mcYqZXZiZ9UhWSbiXgCYqfhyc9hi8oCf5K2MuwOn3VWS1o+xp1DIMOPofP zlsBSnYnXU5YEVSyJ2o9NT/cT3mkueduV6Vfz5IHFKrGqssOu8ZVqOOO3chb+twanmNPyOCC i3+x4P/J7k0tUNsLlcW2xfeKl+8s3Bm9OGZRvPvJzb/Nip9xbexeR7CJeg16BFuRBUCcS3bT XX08cQToB8z03MhFXnMZ1iy9KNkSL5pVYMiM/TI+dTJxdxuTkLlXqDWMiLWDqQemwMqMVVUe +T/VbC/0zE2uTvr2afzPOsazn3Qdo3U3AjO8Ku5cGJtZc2TKgcqE4NXHvoqfHDMxDQUpJ0U4 w7sJzvDm/hGAak+DVFTe2eR6JWwA9A3uBT33dIeBof3IqYiajO/Evg2TYpxgSoxzw2eZy2qo 0zOHynnWnPu9GIUtx2COgCVf444H3DH+H3c1nPx37tU4/gHXp+fWZU8L0gRO23F2xzTPYk/d 5X5q85Toq5HbEqvU4cEXgz+PuRLz3qX68mnVjdXTbsAfM9CUAf+fdnE+7Bgd40VYaPo/Jg/9 Dft42HxnDAB5GKo2fb9jdIyO0TE6Rsd4sUd5eblFXl4et+OXeHHH/wDsjQGeY2KJAQAAAABJ RU5ErkJggg== to the social, economic, and environmental benefits they provide. Associate editor: Professor Juan Vergara-Lopez University of Zulia, Faculty of Agronomy Bolivarian Republic of Venezuela Received: 07-09-2023 Accepted: 19-10-2023 Published: 08-11-2023 Rev. Fac. Agron. (LUZ). 2023, 40(Supplement): e2340Spl02 ISSN 2477-9407 DOI: https://doi.org/10.47280/RevFacAgron(LUZ).v40.supl.02 Crop Production This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818. Rev. Fac. Agron. (LUZ). 2023, 40 (Supplement): e2340Spl03. October-December. ISSN 2477-9407. 2-6 | Resumen Las actividades desarrolladas por la sociedad humana ocasionan transformaciones sobre la superficie terrestre y tienen la capacidad de afectar el funcionamiento del planeta, uno de los efectos principales ha sido el cambio climático, que afecta la globalidad del planeta, a sus ecosistemas y a la sociedad. El objetivo del presente trabajo fue realizar una revisión bibliográfica a través de la recopilación de artículos científicos, capítulos de libros y revisiones de fuentes documentales confiables, sobre los factores que inciden en el cambio climático y sus consecuencias, además de presentar como alternativa la implementación y uso de los sistemas agroforestales para mitigar el cambio climático, no solo por el potencial que poseen para capturar y almacenar el carbono si no para disminuir las cantidades de CO 2 de la atmósfera, a través del crecimiento de los árboles y arbustos, también tienen fuertes implicaciones para el desarrollo sostenible debido a los beneficios sociales, económicos y ambientales que prestan. Palabras clave: uso de árboles, actividad antropogénica, gases de efecto invernadero, captura de carbono Resumo As atividadesdes envolvidas pela sociedade humana provocam transformações na superfície terrestre e têm a capacidade de afetar o funcionamento do planeta, um dos principais efeitos tem sido as mudanças climáticas, que afetam a globalidade do planeta, seus ecossistemas e a sociedade. O objetivo deste trabalho foi realizar uma revisão de literatura através da compilação de artigos científicos, capítulos de livros e revisões de fontes documentais confiáveis, sobre os fatores que afetam as mudanças climáticas e suas conseqüências, além de apresentar como alternativa a implantação e utilização de sistemas agroflorestais para mitigar as mudanças climáticas, nãosó pelo potencial que possuem de capturar e armazenar carbono, mas de reduzir as quantidades de CO 2 na atmosfera através do crescimento de árvores e arbustos, também possuem forte simplicações para o desenvolvimento sus sustentável devido à benefícios sociais, econômicos e ambientais que proporcionam. Palavras-chave: utilização de árvores, atividade antropogénica, gases comefeito de estufa, sequestro de carbono Introduction In recent years, the issue of climate change has become increasingly important due to the diversity of phenomena that have occurred, one of the most significant being the global temperature increase. Additionally, the effect of greenhouse gases induced by human activities is causing ocean warming and acidification, melting of sea ice and glaciers, rising sea levels and an increase in extreme weather conditions. There is currently worldwide evidence indicating that climate change is affecting agricultural production due to droughts, rains, floods, hurricanes and other climatic phenomena that affect yields, infrastructure and, in general, productive capacities in agricultural areas (Herrero et al ., 2015; Babatunde et al ., 2023). Several factors have a greater or lesser impact on climate change, including the use of fossil fuels, deforestation and agricultural activity. According to Zaar (2021), the increased concentration of CO 2 and other atmospheric gases (CH 4 , NO 2 , among others) contributing to the greenhouse effect has altered the balance of ecosystems maintained over the past millennia. The Intergovernmental Panel on Climate Change (IPCC), in its March 2023 report, estimates that the trajectory of global warming from now to 2100 is around 3.5 °C. These temperature increases have consequences for the climate and ecosystems, including humidity and precipitation levels. The report also highlights that despite warnings about the effects of climate change on the earth, efforts to reduce greenhouse gas emissions have not been sufficient. There are several ways to mitigate greenhouse gas emissions globally, one of which is carbon sequestration through the implementation of agroforestry and/or silvopastoral systems, these systems represent an immediately available and relatively low-cost strategy. These well-designed and managed systems can have high carbon (C) accumulation rates, and are presented as an effective tool to mitigate climate change. FAO (2018) has mentioned that with good agricultural practices in silvopastoral systems, their benefits have been demonstrated to not only produce food, but also to generate employment, contribute to food security, and mitigate the effects of climate change. The objective of this work is to identify the factors that cause climate change and to assess the impact of agroforestry systems on carbon sequestration as a climate change mitigation tool. Methodology The article is based on a literature review; the search was mainly focused on information generated in the last 17 years (2006-2023), which were consulted between July and August 2023. The compilation of scientific articles, book sections and review articles related to the use of agroforestry systems and their effect on climate change in tropical areas was done through reliable documentary sources such as Google Scholar, Redalyc, Scielo and digital repositories such as CATIE (Tropical Agricultural Research and Higher Education Center), FAO (Food and Agriculture Organization of the United Nations), WRI (World Resources Institute) and IPCC (Intergovernmental Panel on Climate Change). The search fields were first the combination of the keywords agroforestry systems and climate change, and then selected those articles related to the factors that promote climate change, use of agroforestry systems, greenhouse gas production, and carbon sequestration or capture were selected. Climate change: causes and consequences Climate change has been defined as “an identifiable and persistent modification of the state of the climate due to natural variability or the effect of human activity” (Hernández, 2020). However, it has been established that climate change is mainly attributed directly or indirectly to human activity, which in some way alters the composition of the atmosphere in addition to the natural climate variability observed over comparable time periods (Gutman, 2009). Numerous factors have been reported that influence climate change in some way, with the most important ones being the burning of fossil fuels, deforestation and animal production systems. Fossil fuels According to McKinsey’s Global Energy Perspective (2019) report, fossil fuels are responsible for 83 % of total CO 2 emissions and coal-fired power generation alone accounts for 36 % of the total. They also note that global energy-related emissions will peak in 2024 and decline by around 20 % by 2050, driven primarily by a decline in coal use in the power sector. This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818. Razz and León. Rev. Fac. Agron. (LUZ). 2023, 40 (Supplement): e2340Spl03 3-6 | flow. Effects similar are the case with soil, nutrients, is directly related to anthropogenic forest cover. In the tropics, the deforestation caused by agricultural activities not only has effects on soil degradation and loss of productivity, but also contributes a quarter of the CO 2 emissions and other gases into the atmosphere. This process causes global climatic changes that favor the loss of biodiversity in natural forests and the imbalance of other terrestrial ecosystems. Animal production systems Agriculture worldwide accounts for 25 % of greenhouse gas emissions, including animal production systems whose source of gas emissions is methane (CH 4 ), which is a by-product of the digestive process of ruminants, where methanogenicarchaea bacteria present in the rumen use CO 2 and H 2 , which originate from the microbial fermentation of plant fiber, to form methane and reduce the accumulation of H 2 in the rumen; and their contribution is considered to be about 5 % of the total gases emitted by agricultural activity (Benaouda et al ., 2017, Soriano-Robles et al ., 2018). In this sense, Buitriago-Guillén et al . (2018), pointed out that anthropogenic practices such as fuel burning and deforestation to increase grazing areas, that is, replacing forests with pastures, have resulted in an increase of greenhouse gases such as carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 0), therefore they consider that livestock activities are highly polluting and thatemissions represent one of the factors contributing to current climate events. In Latin America, the contribution to methane production is 14 %, with Brazil, Mexico, Argentina and Colombia being the countries that contribute most to the emission of this gas, with 44.7, 22.8, 13.7 and 7 %, respectively (Stevens et al ., 2014). Research conducted by Zambrano (2022), has shown that animal production systems have a great influence on environmental conditions, through the production of liquid and solid waste (feces, slurry, biological material and by-products), in addition to the release of gases into the atmosphere, the demand for water, the expansion of the agricultural frontier and the reduction of biodiversity. Another of the agronomic practices in animal production systems that affect climate change is the use of inorganic fertilizers, mainly nitrogenous fertilizers, since they emit nitrous oxide (NO 2 ) as a result of natural processes, volatilization and runoff, as well as the decomposition of agricultural and animal waste. According to González-Estrada and Camacho (2017), the use of nitrogen in the world in agricultural and livestock activities has grown very rapidly, so it is predicted that the corresponding emissions will increase 50 % by 2030. Agroforestry systems as a climate change mitigation alternative Mitigation is nothing more than implementing actions to reduce the emission of greenhouse gases in order to avoid an increase in global temperature. The use of agroforestry systems in its various modalities emerges as an essential strategy in climate change mitigation by capturing and storing atmospheric carbon (León, 2014). Agroforestry is considered as “a form of land use that includes the use or exploitation of trees of different kinds (timber, fruit, ornamental and plantation) combined with crops and sometimes animals” (Soriano-Robles et al ., 2018). It is interdisciplinary and the productive land use modality can be a spatial and/or temporal interaction of woody and non-woody plant species, or woody, non- woody and animals. When all are woody species, at least one is managed for permanent agricultural and/or livestock production (Ospina-Ante, 2006). According to Mondragón (2021), the burning and use of energy stored in fossil resources, especially those related to oil, gas and coal, have a drastic impact on the environment, resulting in gaseous emissions during the entire energy production process, gases such as CO 2 , CO, SOx, NOx, H 2 S, CH 4 , among others. However, he mentions that the gas that has the greatest environmental impact is CO 2 , due to the large amount produced and its physical properties of radiating the infrared frequency back to Earth, which results in the warming of the oceans and the air near the Earth’s surface. t has been established that one of the effects of climate change due to greenhouse gases is the increase in the Earth’s temperature, in recent decades it has increased about 1 °C. In addition, the production of greenhouse gases causes atmospheric pollution, which brings negative consequences on human health (Roca et al ., 2019). Deforestation Forests play a fundamental role in the flow of carbon dioxide from vegetation and soil to the atmosphere (Schlesinger and Bernhardt, 2013), representing a carbon store in both biomass and soil, larger than that of the atmosphere. Deforestation is a constant loss of vegetation cover due to tree felling, a practice used by man for many years, with the purpose of changing the use of land for other activities such as agriculture, establishment of pastures for livestock, human settlements due to population increase, infrastructure, among others (FAO, 2022). According to data provided by Statista Reseach Department (2023), between 2010 and 2019 in Latin America and the Caribbean, around 53.8 million ha covered by trees and forests have been lost. Table 1 shows the four Latin American countries with the greatest losses of cover. In the tropics, deforestation caused by agricultural activities not only has effects on soil degradation and loss of productivity, but also contributes a quarter of CO 2 emissions and other gases into the atmosphere. This process causes climatic changes that favor the loss of biodiversity in natural forests and the imbalance of other terrestrial ecosystems (Alonso, 2011). Table 1. Latin American countries with the highest forest cover losses. Country Coverage loss million ha (Period 2010-2019) Coverage loss million ha (2021) Brasil 2.50 (only in 2019) 2.90 Bolivia 3.80 0.55 Paraguay 3.60 0.28 Argentina 3.00 0.20 Source: Statista Reseach Deparment (2023). This practice of deforestation, whether by human action or natural causes (fires, parasites or other factors unrelated to human activity), has consequences on climate change, desertification, atmospheric contamination, soil degradation, food deficit and habitat loss (Cañete et al ., 2023). According to Salgado (2014), deforestation can lead to environmental damage; the most severe negative effect is the disappearance of the habitat of millions of species and is a contributing factor to climate change. He also points out that as forests disappear, the emission of greenhouse gases into the atmosphere will increase and the speed and severity of climate change will increase. Similarly, Echeverría et al ., (2006) report that deforestation affects the hydrological cycle, reducing evapotranspiration and increasing water This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818. Rev. Fac. Agron. (LUZ). 2023, 40 (Supplement): e2340Spl03. October-December. ISSN 2477-9407. 4-6 | Mombasa) with different dispersed tree species (silvopastoral systems, SSP1 and SSP2, respectively), contained greater accumulated carbon in the aerial biomass (2.18 ± 1.13 and 4.51 ± 3.76 t C.ha -1 , respectively) than the native grass ( Bothriochloa pertusa (L.) A. Camus) (0.19 ± 0.09 t C.ha -1 ). The results showed that the silvopastoral systems were able to accumulate atmospheric carbon in aboveground biomass seventeen times more than a traditional production system. Subterranean carbon sequestration by agroforestry systems Soil has been considered as one of the resources with the highest susceptibility to climate change, degradation and biodiversity loss (FAO, 2017). Despite this, it has been considered that after the oceans, soils are the largest carbon sinks, significantly offsetting CO 2 emissions (Lefevre et al ., 2017). Soil also harbors a significant pool of organic carbon. Roots exude organic compounds, promoting the formation of aggregates that retain carbon in the soil. Although it is difficult to quantify soil carbon due to heterogeneity, its long-term stability is essential. Soil is a large carbon sink with a capacity to sequester between 20 - 26 t C.ha -1 at a depth of 20 cm (Benbi and Nisar, 2019, De Stefano and Jacobson, 2017, DíazLezcano et al ., 2020) with these being higher in tropical and subtropical climates (Hübner et al ., 2021) with 1/5 of all living soil biomass represented by roots. Hassán et al . (2017) reported in single and multiple living fence systems soil organic carbon contents of 39.35 and 37.76 t C.ha -1 , respectively. In Research conducted in Colombia by Contreras Santos et al . (2020), who compared soil carbon sequestration in different silvopastoral arrangements (pasture + forage shrubs (SSP1), pasture + forage trees (SSP2), pasture + forage shrubs + forage trees (SSP3) and pasture + forage shrubs + forage trees + timber trees (SSP4)) with pasture growing in monoculture. The results indicated that in the silvopastoral systems, soil carbon accumulation ranged from 60.6 (SSP2) to 65.1 (SSP1) t.ha -1 , while in the monoculture pasture it was 38.3 t.ha -1 . This indicates that the accumulation of C in silvopastoral systems in the soil increased between 58.2 and 69.9 % with respect to pasture alone. They concluded that the presence of forage trees in livestock systems increases the carbon storage capacity of the soil. Other research conducted by Contreras Santos et al . (2023), comparing two silvopastoral systems with naturalized grass pastures without trees, obtained values of 33.20 and 33.70 t C.ha -1 and 24 t C.ha -1 , respectively, demonstrating that these systems have a high potential to fix atmospheric carbon. Measurement and quantification of carbon sequestration in agroforestry systems: Advances and challenges Accurate measurement of carbon stored in agroforestry systems is fundamental to understand their contribution to carbon sequestration. However, this task faces methodological challenges due to the complexity of these systems. Traditional measurement techniques in agricultural soils often underestimate the carbon stored in agroforestry systems, given the greater organic matter at greater depths. To overcome this, comprehensive approaches combining direct measurements with remote sensing and modeling have been adopted that allow accurate estimation of soil carbon concentration, scaling up data collection to a larger and less invasive scale (Chen et al ., 2019). Remote sensing technologies, such as satellite imagery and drones, enable the assessment of spatial and temporal patterns of tree biomass and vegetation, which are fundamental to understanding carbon dynamics in agroforestry systems. These tools not only provide a panoramic view of vegetation distribution, but also generate biomass Cifuentes Jara (2010) has pointed out that climate alterations cause negative effects on agricultural systems, including the length and seasonality of crop cycles, physiological alterations due to exceeding the temperatures to which crops are adapted, water deficiencies and increased erosion due to soil drying and increased surface runoff, and indirectly affect the incidence of pests and diseases, soil cycling and nutrient availability, and increase the propensity to fires. In this context, agroforestry systems are an alternative within animal production systems, since they can prevent soil degradation, recover soil fertility through the use of leguminous plants and recycle nutrients. Additionally, at a global level, their benefits are centered on carbon sequestration, biodiversity and cultural landscaping. According to Dolliger and Jose (2019), silvopastoral systems are the key to the transformation from traditional agriculture to climate- smart agriculture that increases productivity in a sustainable and resilient way while reducing or avoiding greenhouse gases. A large part of the carbon in the atmosphere can be naturally stored by plants in aerial biomass, through photosynthesis processes, and another part in the soil, through the accumulation of organic matter (Contreras-Santos et al ., 2021), as it is considered the largest carbon reservoir (López-Santiago et al ., 2019). Trees convert carbon dioxide into plant biomass, storing carbon in tissues such as trunks, branches, leaves and roots (Yirefu Tefera, 2019). Species diversity in agroforestry systems increases photosynthetic efficiency by exploiting complementary ecological niches. Both scattered trees in paddocks, live fences, silvopastoral systems have the potential to sequester carbon far exceeding >19% of what can be fixed by conventional agricultural systems or treeless grasslands (Shi et al ., 2018). Carbon sequestration in agroforestry systems It has been reported that the importance of agroforestry systems in carbon sequestration is centered on two reasons. The first is that the tree component captures atmospheric carbon through photosynthesis, since these trees are perennial plants and store it, behaving as active carbon sinks for long periods of time. The second reason is because agroforestry systems reduce the need to deforest new tropical and temperate forests for migratory agriculture (Clemente-Arenas, 2021). In this variable, the density of trees in the various production systems directly affects the calculations of carbon sequestered in the form of biomass, both live and in the form of litter on the soil, as well as by the tree species used, the most common being Leucaena leucocephala, Gliricidia sepium, Sesbania sp. , Erithrina sp ., Acacia sp., Guazuma ulmifolia , Prosopis juliflora , Albizia saman , Tabebuia rosea , Enterolobium cyclocarpum (Soriano-Robles et al ., 2018, León et al ., 2020). In live fence systems depending on the species, it can be located between 1.7 - 8.9 t.km -1 .yr -1 and scattered trees in paddocks 1-5 t C.ha -1 (Villanueva et al ., 2018), while, paddocks without trees 4.38 t C.ha -1 , with low density of trees 7.49 t C.ha -1 and with a high density of trees 27.54 t C.ha -1 (Melgar-Ramirez et al ., 2018). Hassán et al . (2017) recorded differences between simple (one or two species) and multiple (more than two species) fence types, obtaining values of 3.76 and 5.77 t C.ha -1 aerial, respectively. In a silvopastoral system with 19 years of established Hyparrehnia rufa and Guazuma ulmifolia , Jiménez et al . (2019) reported values in the fractions of tree biomass with 16.46 t C.ha -1 , forage contribution 1.4 t C.ha -1 and 1.9 t C.ha -1 in dead material or litter. Authors such as Contreras-Santos et al . (2023), demonstrated in their research that the associations between grasses ( Megathyrsus maximus cv Sabanera Agrosavia and Megathyrsus maximus cv This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818. Razz and León. Rev. Fac. Agron. (LUZ). 2023, 40 (Supplement): e2340Spl03 5-6 | maps and thus indirect estimates of carbon in aboveground vegetation (Zhang et al ., 2021). Simulation models also play a key role in quantifying carbon in agroforestry systems. These models simulate various management, plant composition and land use scenarios, facilitating the assessment of long-term effects on carbon sequestration (Mandal et al ., 2020). However, these models require accurate and up-to-date empirical data to generate reliable results. Despite methodological advances, challenges persist in accurately measuring carbon in agroforestry systems (Dold et al ., 2019). The heterogeneity of these systems makes it difficult to obtain representative samples and extrapolations to larger scales. The lack of methodological standards can lead to inconsistent results across studies, complicating the comparison and synthesis of findings. Conclusion There is sufficient scientific evidence that has shown that climate change in recent years has become one of the main problems that society is facing, not only from the environmental point of view, but also the impact on human health, demographics and the economic base of society. The challenge today is to control or reduce greenhouse gas emissions caused by anthropogenic activities, through agreements between governments of developed countries and environmental and social policies. An important point for this problem is mitigation, and in this sense, the use of agroforestry systems is a viable option, the contribution of these systems can be important when considering their benefits, among which we can mention the sequestration and storage of carbon from the aerial part, soil and roots, and that when well managed can be considered as important carbon sinks and thus reduce the negative impact of gas emissions that affect the environment. Literature cited Alonso, J. (2011). Los sistemas silvopastoriles y su contribución al medio ambiente. Revista Cubana de Ciencia Agrícola , 45 (2), 107-115. https:// www.redalyc.org/pdf/1930/193022245001.pdf Babatunde O., A., Olusayi O., K., Seleke, T., C., & Olusola O., A. (2023).Climate change and variability in sub-Saharan Africa: A systematic review of trends and impacts on agriculture. Journal of Cleaner Production , 414 , 137487. https://doi.org/10.1016/j.jclepro.2023.137487 Benaouda, M., González Ronquillo, M., Molina, L., y Castelán Ortega, O. (2017). Estado de la investigación sobre emisiones de metano entérico y estrategias de mitigación en América Latina. Revista Mexicana de Ciencias Agrícola , 8 (4), 965-974.https://doi.org/10.29312/remexca.v8i4.20 Benbi, D. K., & Nisar, S. (2019). Developments in measurement and modelling of soil organic carbon. In: Carbon Management in Tropical and Sub- Tropical Terrestrial Systems . pp. 379-402. https://doi.org/10.1007/978- 981-13-9628-1_23 Buitriago-Guillén, M.A., Ospina-Daza, L.A. y Narváez-Solarte, W. (2018). Sistemas silvopastoriles: alternativa en la mitigación y adaptación de la producción bovina al cambio climático. Boletín Científico Museo Histórico Museo de Historia Natural de Caldas , 22 (1), 31-42. https://doi. org/10.17151/bccm.2018.22.1.2 Cañete, R., N. Villalba, Y. Aguilera, A. Ferreira, M. Ibarra, C. Kwan y M. Ruiz Díaz. (2023). El impacto de la deforestación y la necesidad del análisis ambiental. Revista Científica OMNES , V (1), 61–69. https://www. columbia.edu.py/investigacion/ojs/index.php/OMNESUCPY/article/ view/88/73 Chen, Y., Guerschman, J. P., Cheng, Z., & Guo, L. (2019). Remote sensing for vegetation monitoring in carbon capture storage regions: A review. Applied Energy , 240 , 312–326.https://doi.org/10.1016/J. APENERGY.2019.02.027 Cifuentes Jara, M. (2010).ABC del cambio climático en Mesoamérica. Serie Técnica. Informe Técnico del CATIE No. 383. Turrialba, Costa Rica, CATIE. 71 p. https://repositorio.catie.ac.cr/handle/11554/8371 Contreras-Santos, .J. L., Martínez-Atencia, J., Cadena-Torres, J. y Falla-Guzmán, C.K. (2020). Evaluación del carbono acumulado en suelo en sistemas silvopastoriles del caribe colombiano. Agronomía Costarricense , 44 (1), 29-41. www.mag.go.cr/rev agr/index.html Contreras-Santos, J.L., Martínez-Atencia, J., Raghavan, B., López-Rebolledo, L. y Garrido-Pineda, J. (2021). Sistemas silvopastoriles: mitigación de gases de efecto invernadero, bosque seco tropical - Colombia. Agronomía Mesoamericana , 32 (2), 901–919. https://doi.org/10.15517/ am.v32i3.43313 Contreras-Santos, J.L., Falla-Guzmán C.K., Rodríguez, J.L., Fernando-Garrido, J., Martínez-Atencia, J., y Aguayo-Ulloa, L. (2023). Reserva de carbono en sistemas silvopastoriles: Un estudio en el Medio Sinú, Colombia. Agronomía Mesoamericana , 34 (1), Artículo 49138. https://revistas.ucr. ac.cr/index.php/agromeso/article/view/49138 Clemente-Arenas, E. (2021). Captura de carbono en sistemas agroforestales en el Perú. Revista Forestal del Perú , 36 (2), 180 – 196. http://dx.doi. org/10.21704/rfp.v36i2.1797 De Stefano, A., & Jacobson, M. G. (2017). Soil carbon sequestration in agroforestry systems: a meta-analysis. Agroforestry Systems , 92 (2), 285–299. https:// doi.org/10.1007/s10457-017-0147-9 Díaz Lezcano, M. I., Ríos Robles, J. R., Moreno Resquín, H., y Vera de Ortiz, M. L. (2020). Contenido de carbono en un sistema silvopastoril del Chaco central paraguayo. Revista Cubana de Ciencias Forestales , 8 (2), 344– 357. https://cfores.upr.edu.cu/index.php/cfores/article/view/608 Dold, C., Thomas, A. L., Ashworth, A. J., Philipp, D., Brauer, D. K., & Sauer, T. J. (2019).Carbon sequestration and nitrogen uptake in a temperate silvopasture system. Nutrient Cycling in Agroecosystems , 114 (1), 85–98. https://doi.org/10.1007/s10705-019-09987-y Dollinger, J., & Jose, S. (2019). Agroforestry for soil health. Agroforestry Systems, 93 (3), 1205–1205. https://doi.org/10.1007/s10457-018-0223-9 Echeverría, C., Coomes, D., Salas, J., Rey-Benayas, J., Lara, L. & A. Newton. (2006). Rapid deforestation and fragmentation of Chilean temperate forests. Biological Conservation , 130 (4): 481-494. https://doi. org/10.1016/j.biocon.2006.01.017 FAO. (2017). Liberación del potencial del carbono orgánico del suelo. En: Organización de las Naciones Unidas para la Alimentación y la Agricultura (ed.), Documento de resultados del Simposio internacional sobre el carbono orgánico del suelo . 40 pp. FAO, Roma, Italia. Disponible en: http://www.fao.org/3/i7268s/i7268s.pdf FAO. (2018).Cambio climático y seguridad alimentaria y nutricional América Latina y el Caribe. Santiago: FAO. https://www.fao.org FAO. (2022). Organización de las Naciones Unidas para la Alimentación y la Agricultura. https://www.fao.org/sustainable-forest-manage-ment/ toolbox/modules-alternative/reducing-de-forestation/basic-knowledge/ es/ Global Energy Perspective.(2019). McKinsey and Company.https://www. mckinsey.com/industries/oil-and-gas/our-insights/global-energy- perspective-2019 González-Estrada, A. y Camacho Amador, M. (2017). Emisión de gases de efecto invernadero de la fertilización nitrogenada en México. Revista Mexicana de Ciencias Agrícola , 8 (8), 1733-1745. https://doi.org/10.29312/remexca. v8i8.698 Gutman, V. (2009). Cambio climático e incentivos a la innovación en tecnologías limpias: ¿Puede más el mercado corregir la mayor falla de mercado de la historia?. Economía , 27, 11-35. http://www.redalyc.org/articulo. oa?id=195614958002 Hassán, J., Espinosa-Tasón, J., y Ríos, L. (2017). Fijación de carbono en cercas vivas de fincas ganaderas de la cuenca del río La Villa. Ciencia Agropecuaria , 27, 14-27. http://www.revistacienciaagropecuaria.ac.pa/ index.php/ciencia-agropecuaria/article/view/19/12 Hernández, Y. (2020). Cambio climático: Causas y Consecuencias. RenovaT: Revista De Estudios Interdisciplinarios En Ciencias Sociales, Tecnología E Innovación,4 (1), 38-53. https://revistas.sena.edu.co/index.php/rnt/ article/view/3517 Herrero, M., Wirsenius, S., Henderson, B., Rigolot, C., Thornton, P., Havlík, P. & P.J Gerber. (2015). Livestock and the environment: what have we learned in the past decade? Annual Review of Environment and Resources , 40 , 177-202. https://doi.org/10.1146/annurev-environ-031113-093503 Hübner, R., Kühnel, A., Lu, J., Dettmann, H., Wang, W., &Wiesmeier, M. (2021). Soil carbon sequestration by agroforestry systems in China: A meta- analysis. Agriculture, Ecosystems and Environment , 315 (June 2019), 107437.https://doi.org/10.1016/j.agee.2021.107437 IPCC.(2023). AR6 Synthesis Report. Climate Change 2023 .https://www.ipcc.ch/ report/ar6/syr/ Jiménez R., E.R., Fonseca G., W., & Pazmiño P., L. (2019). Silvopasture systems and climate change: Estimate and prediction of arboreal biomass. Granja , 29 (1), 44–45. https://doi.org/10.17163/lgr.n29.2019.04 Lefevre, C., Rekik, F., Alcantara, V., & L. Wiese. (2017). What are the global SOC stocks? En Wiese, L., Alcantara, V., Baritz, R., Vargas, R. (eds.), Soil Organic Carbon The Hidden Potential , 90 pp. Food and Agricultural Organization of the United Nations, Roma, Italia. https://www.fao.org/3/ i6937e/i6937e.pdf León, L. (2014). Árboles en potreros y sus beneficios para los sistemas ganaderos de doble propósito. In Y. Villasmil (Ed.), Buenas Prácticas en Ganadería Doble Propósito (pp. 289–296). Fundación GIRARZ Ediciones Astro Data S.A. This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818. Razz and León. Rev. Fac. Agron. (LUZ). 2023, 40 (Supplement): e2340Spl03 6-6 | León, C. E., Coronado, R. A., Forero, C. A., y Roa, M. (2020). Modelo productivo. In Modelo productivo para el cultivo de cacao (Theobroma cacao) para el departamento de Santander . http://editorial.agrosavia.co/index.php/ publicaciones/catalog/download/29/20/361-1?inline=1 López-Santiago, J.G., Casanova-Lugo, F., Villanueva-López, G., Díaz-Echeverría V.F., Solorio-Sánchez, F.J., Martínez-Zurimendi, P., Aryal, D.R. & Chay- Canul, A.J. (2019). Carbon storage in a silvopastoral system compared to that in a deciduous dry forest in Michoacán, Mexico. Agroforestry Systems , 93 , 199–211. https://doi.org/10.1007/s10457-018-0259-x Mandal, A., Majumder, A., Dhaliwal, S. S., Toor, A. S., Mani, P. K., Naresh, R. K., Gupta, R. K., & Mitran, T. (2020). Impact of agricultural management practices on soil carbon sequestration and its monitoring through simulation models and remote sensing techniques: A review, 52 (1), 1–49. https://doi.org/10.1080/10643389.2020.1811590 Melgar-Ramirez, K., Nieto Marroquín, M.J., Castaneda-Romero, L., García Inestroza, E.D., y Siles-Gutierrez, P. (2018). Almacenamiento de carbono en sistemas con diferentes usos de suelo en el municipio de Comalapa, Chalatenango, El Salvador. AGROCIENCIA , 2 (8), 15–28. https:// www.agronomia.ues.edu.sv/agrociencia/index.php/agrociencia/article/ view/114 Mondragón, F. (2021). Ciclos del dióxido de carbono en la formación y utilización de combustibles fósiles y su efecto en el cambio climático. Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales, 45 (176), 833-849. https://doi.org/10.18257/raccefyn.1364 Ospina-Ante A. (2006). Agroforestería. Aportes conceptuales, metodológicos y prácticos para el estudio agroforestal . Asociación del Colectivo de Agroecología del Suroccidente Colombiano. Cali, Colombia. 207 p. http:// ecuadorforestal.org/wp-content/uploads/2010/08/libro_agroforesteria.pdf Roca Villanueva, B., Beltrán Salvador, M. y Gómez Huelgas, R. (2019). Cambio climático y salud. Revista Clínica Española, 219, 260-265. https://doi. org/10.1016/j.rce.2019.01.004 Salgado, R. (2014). Deforestación. Saber más , 14, 31-32. https://dialnet.unirioja. es/descarga/articulo/4761345.pdf Schlesinger W.H., & Bernhardt, E.S. (2013). Biogeochemistry:An Analysis of Global Change . Academic Press. San Diego, California, USA. 672 p. https://books.google.co.ve/books?id=533UOWBU3_ AC&lpg=PP1&hl=es&pg=PA117#v=onepage&q&f=false Shi, L., Feng, W., Xu, J., & Kuzyakov, Y. (2018). Agroforestry systems: Meta- analysis of soil carbon stocks, sequestration processes, and future potentials. Land Degradation and Development , 29 (11), 3886–3897. https://doi.org/10.1002/ldr.3136 Soriano-Robles, R., Arias-Margarito, L., Carbajal de Nova, M., Almaraz-Buendía, I., y Torres-Cardona, M.G. (2018). Cambio climático y ganadería: el papel de la agroforestería. Agroproductividad , 11 (2), 70-74. https:// revista-agroproductividad.org/index.php/agroproductividad/article/ view/122/105 Statista Research Department.(2023). Los países con mayor pérdida de bosques en América Latina . https://es.statista.com/estadíaticas/1222951/perdida- bosques-america-latina-pais/ Stevens, C., Winterbottom, R., Springer, J., & Reytar, K. (2014). Securing rights, combating climate change: how strengthening community forest rights mitigates climate change . 16p. https://www.wri.org/publication/securing- rights-combating-climate-change Villanueva, Cristóbal, Casasola, F., y Detlefsen, G. (2018). Potencial de los sistemas silvopastoriles en la mitigación al cambio climático y en la generación de múltiples beneficios en fincas ganaderas de Costa Rica. In Cristobal Villanueva, F. Casasola Soto, & G. Detlefsen (eds.), Catie (Issue March). CATIE. http://repositorio.bibliotecaorton.catie.ac.cr/ handle/11554/8729 YirefuTefera, Y. H., Hailu, Y., & Siraj, Z. (2019). Potential of Agroforestry for Climate change Mitigation through Carbon Sequestration: Review Paper. Agricultural Research & Technology: Open Access J , 22 (3), 63–68. https://juniperpublishers.com/artoaj/pdf/ARTOAJ.MS.ID.556196.pdf Zaar, M.H. (2021). Cambio climático antropogénico y decrecimiento. Revista Electrónica de Recursos en Internet sobre Geografía y Ciencias Sociales , XXV (250), 1-30.https://doi.org/10.1344/ara2021.250.33232 Zambrano-Navarrete, J.A. (2022). Relación e interacción entre los sistemas de producción animal (SPA) y el ambiente. Working Papers ECAPMA , 6 (1), 75 - 90. https://doi.org/10.22490/ECAPMA.5817 Zhang, T., Zhang, W., Yang, R., Liu, Y. & Jafari, M. (2021). CO2 capture and storage monitoring based on remote sensing techniques: A review. Journal of Cleaner Production , 281 , 124409. https://doi.org/10.1016/j. jclepro.2020.124409