class: center, middle, inverse, title-slide # Data Science Clinic ## A capstone experience for Smithies in SDS ### <p>Benjamin S. Baumer<br/> <span style="font-size: 70%;"> <a href="http://www.smith.edu/sds">Statistical & Data Sciences</a>, Smith College<br/> <i class="fas fa-envelope "></i>  <a href="mailto:bbaumer@smith.edu">bbaumer@smith.edu</a> | <i class="fab fa-twitter "></i> @<a href="http://www.twitter.com/BaumerBen">BaumerBen</a> | <i class="fab fa-github "></i> <a href="http://www.github.com/beanumber">beanumber</a> </span></p> ### <p>SDSS, 2020-06-03<br/> <span style="font-size: 70%;"><a href="https://bit.ly/3c6CDOa" class="uri">https://bit.ly/3c6CDOa</a></span> <br/> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAHgCAYAAAB91L6VAAAACXBIWXMAAC4jAAAuIwF4pT92AAAgAElEQVR4nOzdd3gUVdsG8Htma3olCYEAoaTQQ28CIioKKCAERERfxYIoRaSoqCCioiLdBogCH12KiKD0XoUAIQlJgFADpAEp22e+PwIp7KbNzmzL87sur/clmz3nEDJ7TznnPAAhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCKkmGHsPgBBSRQ2f8YbC623wfHsAAMMcgyH3J6Ruu2/nkRFCqoACmBBn0b27GreDfgePgQDPln6R4cBgPYLvvIK9e7X2GSAhpCoogAlxBhEDx4NlvwB4dQXfqQfLfImEtdNsMi5CiGAUwIQ4sgaxj0PBLwNQu4rvzIZJNhwpq7dKMSxCiPUogAlxRM1fDoJeuxZANytbOgPOrTeSl90QY1iEEPFQABPiWFhEDfoRPEaAAVvxt1cKB2AzkjAEWKcXqU1CiJUogAlxFFED3wLDzgLPe0jSPsPkg+fGI2n9z5K0TwipEgpgQuwtalBr8FgLBvVt0yFzG5xsIJJXHbRNf4QQSyiACbGX2oP84YUV4NELtj4WeQAMjkIu74f4Vbdt2jchBABEe8ZECKmKyNjp8MJt8HgG9jgRLuyxA4zGG4ga9DPos4AQm6MrYEJsKeqFF8GzP4KBj72H8og8MOw4JK5ZbO+BEFJdUAATYgvRLzQCz64D0MLeQykXj0tQsc/j7Jp4ew+FEFdHAUyIlBoP8gSHlQD6wHmONx7AX2AxFAnr8uw9GEJcFT33IUQqUbFTwSELQF84T/gChWPtCw5ZiIqdau/BEOKqnOlDgRDnEDX4KfDccjAIkqoLpUKGyW/0g5enGz6ZswZavUGqrgAw2WDwOhLXbpKwE0KqHQpgQsQSM6AuNLLVADpI1QUDBr26tsTqWWPg7ekOANDq9Xhjys9Y+ddBcDwvVdcAg0TwbD8krUmWrhNCqg8KYEKs9pkcUQkLAWaEeZlA8dSvHYwtP05E44ZhFl+/eO02Xhj9Hc5cuFL4FFcaPIBNCMkYSmUPCbEOBTAh1ogcOBYM8yUAN6m68PX2wC9T38KgZyp3Yb117ym8+tFCZObkSjUkANCD56fjwvovpOyEEFdGAUyIEI2HtIfJtFLK7SNlLIvXBz6OHz97Ayxb9QvrT+atwcxFm2AwmiQY3UPMbRj5wUhdt0/CTghxSRTAhFRF6z6ByHdbD+vLBJaDQbe2jbFpwQT4ertb1VJegRbDJy3Apl3HIeXjYVDZQ0KqjAKYkMphETnwOzDMewDkUnVSOyQA6+aMQ4cWEaK2ezohDS9NmIvES1LmI8OB4VYiscn/gGlGCTsixCVQABNSkYhBL4PFQgBeUnXh4abCdxOH4+0hT0rVBQBg+eZ9ePeLX3E/TyNlNwXgmfG4sPYnKTshxNlRABNSlsZDYsCb/g88oqXqgmVZDO3dGUu/HAW53Db74nAchw++WY75K7bBaOKk7Oo6wA9G0vrDUnZCiLOiACbkUYXbRy4D0A8SHiMtoupi608folawv1RdlCvz7n0MHD0b+06cl66TwrKH+6D16Ie03+5K1xEhzocCmJCSImOng8Uk8LxCqi6CA3yx5vsx6NauieA2eH029PGfAQCUTaeBUQoP8WPnUjH0/bm4dF3SssAmAEuQtG4kAEkvuwlxFhTAhABAoyG9ITP9BiBQqi5USjmmvD0QU0YOEN4Ib4Th8q/QnZsCXpcBAGCUflBGTYIyYhzAKgU3PWfZVnw0eyU0Wgm3tWRwFxz7Ji6sWSddJ4Q4BwpgUr01HdwARu4PSFgmkGEY9HuiLVbPGgulUvgEatOd3dDGjQN396zF11mvSKhafg95zWcF92E0chg1fREWr98DjpPwQpXHJZj0fZG6OUG6TghxbBTApHpq/aY7CrJ/Bs8MhYRVwaLr18KmBRMREV5TcBtcXip05z6C8VrlLhplwT2hjpkH1lv43LEr6RkYMnYOjp5NEdxGhXjwYLEdhrwhSN12X7qOCHFMFMCk+omOnQienwZALVUX/t6eWDJjJPr1bCu4Dd6YD8OF76BL+howVXHbZVYBZYN3oGz6ORiFt+Ax/HvoLIZPWoDbWZLOn9ID+BpJ6z6TshNCHA0FMKk+ovs/CV7+K4DaUnWhkMvx7ktP4/vJr1jRCg/DlRXQnZkIXnvLqvEwqkAoG38CZcNRACMT3M43S/7Ep/PWQCdp2UNkg+VfQ8L6zVJ2QoijoAAmrq/pi8EwGtdAwu0jGQBd2zbBnz9MKCoTKIQp+wR0p8fAlHVEvMEBkPm1gqrlHMhqPCa4jQKtHsMmzMOmXSfAS7uv5Rm4mZ7H6Q1XpOyEEHujACYu7EGZQB4jwEj3nLd+7WBs/nEimpZRJrAyeM0N6M59BEPackhZS1Ae2heqmHlgPeoJbiPlSjoGjf3eNmUPkzAEWKeXrBdC7IgCmLimxi+8Bo6dC8BTqi483dWY+/GreG1AD+GNmDTQp8yDPmEGeKOk5QOLMDJ3KBq9B2XjKWDkwn88q/4+iJGfLca9vAIRR/cIHhrImMlIWDtPuk4IsQ8KYOJaIga0BSNbLWmZQBmL118QXibwIePNv6A7PRpc/mURR1d5jFstqJp/BUXdYbDmo+CTeWvw9aJNMEpd9tCEWKSs3S9hJ4TYFAUwcQ02KhPYoXlDbFo4AcGBvoJbMeWchi5uLEwZjpElMv92UMXMhSygg+A2su/mYdik+dh+IE7658OM6RkkbkiXshNCbIECmDg7m5QJDA7wxYb549EpJlJwG7w+C/rz06FPXQDwUl4tCsCwUNQdBlXzb8CogwU3czohDQPHzJJ+W0uGX0VlD4mzowAmzisydhgYfiEA4QtdK+CuVuLbCS/jnaFPC2+EM0B/8Ufo4z8Fb7gn3uAkwMg9oIycAGX0ZIBVCW7n94378N6MJcjNr+L65apgkA+eH4+k9T9L1wkh0qEAJs6ncb+W4BUrbVEmcMkXI63bPvL2TmhPjwV3X8KKQxJgPRtB1WwG5GGDBLfxsOzhvOXbYJJyW0vgOhh2EBLXHJWyE0LERgFMnEfrN92Rn7MC4PsBjEOXCeRyk6GLex/G9K0ijsz2ZMFPQN1yDlifpoLbuJN9H7FjJS57WFj3kMoeEqdCAUycQ2TsdLD8JPCQtEzgqu/G4PEOVpQJNNyFPvFr6JNnA5yLLF9l5FCEvwZVsxlgVMKLRdmk7CEPExgsQdK6t6TrhBBxUAATxxbxwrNg2d8A1JCqC6VSgSlv9ccn7wwU3gjPwXD1/6CL+wC87o54g3MgjNIfyiafQdnwHYARflt+9m9b8dGcVdDqJDxBYZADzvQmLmxYL10nhFiHApg4puYvh0Ov3QhJywQC/Z5oh5WzRkOtFF5H13RnL7RxY8HdPSPi6BwX6xUFVcxsyEN6CW6juOzhbnCchMuWqOwhcWAUwMSxdO+uxu3ARbYoE7hh3geIalBLcBt8wTXo4qfAkLZMxJE5j8JtLeeA9RC+58nlGxkY+r7UZQ95HiyzHQxikbAuT7qOCKkaCmDiOCIGjgfLfAEJywT6+Xhg8fS3MeDJ9oLb4E0FMCR9K6xMoKthlVA2GGl12cPtB+IwfPICZGRLWhZYD5b5Eglrp0nZCSGVRQFM7K/xwCfAMb9B0jKBMrz7Ui+rywQar62H7swH4AquijY2V8Coa0LVdCoU4SMARviNi2+W/IlP566BziBx2UMZ8yrOr90iZSeEVIQCmNhP85eDoNeuhaTbRwLd2jbBpgUT4OttTZnAk9DFjYEp87CII3M9Mr/WhdtaBnYW3IZNyx4aZH1xcfU1KTshpCwUwMQeWEQN+tEWZQI3LpyA5hF1BLfBa25Cd34aDJcXA7ykm0m4EAbysIFQtfgWrHtdwa1Q2UPi6iiAiW01Gvg/yDAPYCQrE+jhrsLsya/gjUE9hTfC6aG/+BP056bYrEygq2Fk7lBGTYQyaiIgcxPczsq/DuKdaRKXPQRfABk/Eef/WChhJ4SUQgFMbCNqUGvwWOs8ZQLHgMu/JOLoqi/GrTZUzb8Up+zhLxthNEl5J4K5DU42EMmrDkrYCSEAKICJ1GoP8ocXVoBHL0j1+8YAHZo1srpMIHc/Ebq4cTDe+kfEwZGHZDW6QR0zB6xvS8FtFJU93H9awrvSAICjkMv7IX6VpGWdSPVGAUykExk7HQw32aptkyoQHOCL9XPHo0tra8oEZkN//nPHLBPoakQqe/hf/CXEjpstfdlDYAmS1o0EQBMAiOgogIn4ooYMBc/9AIb3kaoLN7UK3054CaOGCt+NCZwBhrSl0J37GLwuU7zBkQoxCl8ooydDGTHWqrKHSzfsxegZvyKvQOKyh2DHInHNYuk6IdURBTART/QLjcCz6yDp9pEM+j3RFqtnjbW+TGDcOHD34kUcHakq1isCqhazIA/tI7gNjuMwctoiLF6/B5yUZQ95XIKC64/4P85K1wmpTiiAifWKygSiHyT8nWoRVRdbfpiMsJoBgtvg8lKgO/cxjNfWiTgyYi1ZcM8HZQ+FV6KyadlDY95zSN0m6bZdxPVRABPrRMdOBMd/DgbC7yNWwN/HE799PQp9u7cW3AZvzIPhwizoEr8COJ2IoyOiYRVQNngHyqZTwSiET6bbdfQcXv3wB1y/lSXi4MwYwPMLcGH9+1J2QlwbBTARJnJQL4BfBoaRrkygQoYP3xqAqaMGCW/kYZnAMxPAa2lCqzMoLns4CmBkgtv5bumf+GTuGmh1Em5rySAHPD8CSes3SNcJcVUUwKRqCssErgTQQaouGAbo9VgM1s4eB0934XUZTBn7oD09FtzdOBFHR2yF9Y6GquVsyEOeFtyGVq/HG1N+xsqtB6Ute8ggESZuAJL/SJKuE+JqKIBJJX0mR1TCQoAZAfCSbh+55ceJaNwwTHAbvOY6dOc+hiFtOaTcw5DYRmHZw7lgPcIFt3Hx2m28MPo7nEm6IuLIHsHzPBhmE0IyhmLv3mpeJotUBgUwqVhE7Diw+BLgpSsT6O2BXz5/CwOfFn5hXVwmcCZg0og4OmJ3D8seNpsORu4luJm/953Cqx/9IH3ZQ57/AhfWT5eyE+L8KIBJ2RoPaQ+TaaWk20eyLF4f+Dh+nvaWFa08LBM4AVyBhFc4xO4Yt1ComnxmddnDT+atwczFm2AwSLnxCnMbBryIi2v3SNgJcWIUwMScM5UJzPkPutNjYcqkrXurE5l/G6hazoUssJPgNorLHh6HtFUPcQacW28kL7shaS/E6VAAk5JYRA78DmBGg4Hw6acVqB0SgHVzxqFDiwjBbfDadOjip1KZwGrtYdnD78C6Cy85GZeUhqHj5yLxkpT5yHBguJVIZF6nsofkIQpgUigi9hWw/HwAwh+wVcDDTYVZk4bjrcFPCm+EM0B/8Ufo4z8Bb6B9EAjAyD2gajkbinqvAKxScDsrthzAqM8X436epPMHCsDxE5C8/gcpOyHOgQK4ums8JAa86f/AI1qqLmQsgxd7d8HSL0dBLreyTGDcWHB5F0UcHXFqrBLqNougqDccQGFhDUbpL7g5juPwwTfLMX/FdhhNkhbmuA7wg5G0/rCUnRDHRgFcXTUe5AkOy2CD7SO3/fIhataw4kMxNwm6uPdhTN8m4siIs2PknlB3+gPykKdKfV1/YRbkwU+C9W0uuO3Mu/cxcPRs7Dt5XrqVbDwABvuQhwG4vi5bol6IA6MAro4iY6eD5SeDh6RlAtfOGYeubYRfWBeXCVwI8EYRR0ecHaOqAbfH/obMv43Za9r/3obh0qLCsoctvgWjChLcz4lzqRjy/lwqe0gkQQFcnUQPGgwOP4OBZGUCVUo5Pn1nED56q7/wRngjDJd/he7cFPC6DPEGR1wC6xEOt67bwXqZT+LjcpNRsLMdeMM9AACj9IMyahKUEeOsej48b/nfmDxrJTQ6SedP5YHlxiDhj1+l7IQ4Dgrg6qDp4AYwcn/AKcoE7npQJvCciKMjroL1bgL3btvBuNU2e427F4+C/b3Aa8xnM7NekVC1nAV5zd6C+zYaOYyavgiL1+0GJ+W6JR6XoGKfx9k1VCvTxVEAu7KHZQJ59AMj3b91dP1a2LRgIiLCawpug8tLhe7cR1QmkJRJVqMb3LpsBqMwv4FjurMXmkP9iq58y2wjuCfUMXPBejcWPI4r6RkYMnYOjp5NEdxGJfAA9lPZQ9dGAeyqomMnguc/B6QtE/jrlyPxfI+2gtvgjfkwXPiOygSScslrPQ+3DqsAmZvZa8Ybm6A5+iJgquT2y0VlD6dZDPPK2nH4LF77+EeJyx4yBvAclT10URTAriZq8FMAvwzgg6XqQiGX48M3n8e09wZb0QoPw5UV0J2ZCF57S7SxEdejCP8f1G1+ARjzRxuG1IXQnh4taDMWRhkAZZNPrS57+M2SP/HpvDXQ6SUsewhkg2FeR+LaTVJ2QmyLAthVxAyoC41sNaQsEwgGvbq2xOpZY+DtacX2kdnHoTs9BqasoyKOjrgiZdQkqJp/bfE1fdJM6M5OtroP1i8G6pZzIavxmOA2CrR6vPXpz1j510Fpnw8zSATP9kPSmmTpOiG2QgHs9GxXJnDzjxPR1KoygTegO/cRlQkkFWNkULeaD0WDkeav8SZoT42C4eLPonZZWPZwHliPeoLbKCp7eOGKlL/iPIBNSMIQ2tbSuVEAO7PIgWPBMF8CMH8wJhJfL3f89PmbGNxL+Kb3MGmgT5kHfcIX4I154g2OuCZWBbf2yyAPizV/jdNBc3QYjNfXS9O3zA3KRqOhbDwFjNxTcDNb957Cqx8tRGZOroiDexSvA9jPkbT2Swk7IRKiAHZGEQPagpGtlrRMoIzF6y88jh8/ewMsa+X2kaffA5efJt7giMti5J5Qd94AebD5fuG84S40B5+HKWO/9ONwqwVV86+gqDsM1nxMfjJvDWYu2gSDUeKyh0Z+MFLX7ZOwEyIBCmBn0rpPIPLd1kPSMoEMurVtjA3zxsPfV/gVgCnnFHRxY2HKOCDi2IgrY9QhcO+6Hayv+XJ1XnMTBft72Xx9uMy/LVQxcyEL6Ci4jbwCLYZPWoBNu06Al7bu4RkwpmeQuCFdyk6IeCiAnUNhmUCGeQ+QbvvI2iEBWPP9WHSKiRTcBq/Pgv78dOhTFwC8pJvZExfj3uMgZIGdzb7O5V6AZt/T4Aqu2GFUAMBAUe9lqJrPBKMOEdzK6YQ0vDRB6rKHMIHhVyGxyf+AabR/q4OjAHZ0kbHDwPALAXhL1YW7mwqzJg7H20PEKBP4aYWbIRDyKEbhDc/+5r83puzj0BzoDV6XaYdRlcbIPaCMnABl1CRAphbczvLN+zBq+q/IzZew7CHD5IPnxiNpvbgz1YioKIAdVeN+LcErVkpZJpBlWQzt3dnqMoGm2zuhPT0G3P0EEUdHqhcGHr0vlZqBbLy1HdrDA8Eb8+03LAtYz4ZQNfsS8rBBgtsoLnu4DUaTpPUXroNhByFxDa35c0AUwI6mqEwg3w9gJC0TuPWnD1Er2JoygRcelAn8W8SRkepK5tcaqtY/gXUPg+Hq/xWu8eUk3dzCKrKgHlDHzAHr00xwG0VlD0+cF3Fkj3hY9lDr0Q9pv92VriNSVRTAjiQydjpYTALPK6TqIjjAF2u+H4Nu7ZoIboPX50CfNBP65NkAR8sQSTXGyKEIfw2qZl+AUdUQ3Myxc6kYKnXZQx4mMFiCpHVvSdcJqQoKYEcQ8cKzYNnfAQRK1YVSqcAnb7+AKSMHCG+E5wqvTOLGU5lAQkpglH5QNpkKZcN3LG6ZWVmzf9uKj+euhEYr4ZU/g7vg2DdxYQ1VPrEzCmB7smGZwJWzRkOtFF4P1XRnD7RxY8HdPSvi6AhxLaxXFFQtv4e85jOC2ygqe7h+DzhOwufDPC7BpO+L1M00ecNOKIDtoXt3NW4HLgLPDAUg2faRYpQJ5AuuQRc/BYa0ZSKOjBDXJg/tC1XL2WA9GwhuwyZlD3nwYLEdDGKRsI62qbMxCmBbazzwA3DMdADC1zFUwN/bE0tmjES/niKUCUz6uvJl3gghxYrKHn4ORiF8FeG/h87i5YnzcSdb0uV9eoD5Cklrp0rZCSmNAthWovs/CV7+K4DaUnWhkMvw7ku98P3kV6xohYfx2npoz4wHX3BNtLERUl0x6ppQNZ0KRfjr1pc9nLsGOoPEZQ9Z/jUkrN8sZSekEAWw1Jq+GAyjcQ0k3T4S6Na2Cf78YYKVZQJPPCgTeETEkRFCAEDm16pwW8vALoLbKNDqMWzCPNtsa2mQ9cXF1XQWLiEKYMk8KBPIYwQY6Z7zilMm8CZ05z6kMoFENIx7GFj3MJiyTzj0Wl57kIf2harVfLDudQW3kXIlHYPGfk9lD50cBbAUGr/wGjhmLsAIr2ZQAQ93NeZ8+CpGDOwhvJGiMoEzwBulLJtGqhNl4ylQNZkKMDJw986jYG93h9hK0pEwMncoGr1nddnDVX8fxMjPFuNeXoGIo3sEDw1k7CQkrJkvXSfVEwWwmJyuTOBocPmXRRwdqdYYOdStf4Si/ohSX9admwJ94gw7DcqxMW61oWr+pShlD79etAlGqcsemhCLlLXS14OsJiiAxdC6TyAK3JaBRy9I9jNl0KF5Q2xaOAHBgb6CWzHlnH5QJpCOISIeRu4BdYfVkIf2MXtNn/gldOc+tsOonIcsoD1ULedCFtBecBvZd/MwbNJ8bD8QJ/Xz4aNgTAOo7KH1KICtFRk7HQw32artbyoQHOCL9XPHo0trKhNIHA+jqgG3Llsshgevz0bBjrbg8i/ZYWROhmGhqDsMqubfgFEHC27mv/hLiB03W9ptLQETgCVIWjcSgKTVJFwZBbBQUUOGAqYfIWWZQLUS30wYhlFDewlvhMoEEgmxHuFw67oNrJf5ySGvuYmCA8+Cu3vGDiNzXozcE8rID6CMngywKsHt/L5xH96bsQS5+RKu42eQD54Zh6S1i6TrxHVRAFdV1OAIgFsLG2wfuXrWWCiVwi+sC8sEjgV3X8JKK6Takvm3gVuXvyxerXH3zqPgwDO0ltwKrGcjqJrNsLrs4chpNtrWUsH1R/wftFdtFVAAV1brN92Rn7PCFmUCt/wwGWE1AwS3weUmQ3dmPIw3/xJxZIQUkwX3hFunPyzu8GS6sxeaQ/3BG6jynRhkwU9A3XIOWJ+mgtu4k30fsWMlLntYWPeQyh5WAQVwZUTHTgTPfQ4wwu8HVcDfxxPLvn4Xvbu3EtwGb7gLfeLXVCaQSEoR/j+oW/8MsOZVM43XN0Bz7CXavlRsRWUPZ4BRCS+atuvoObz64Q+4fitLxME9goEBHL8AF9a/L10nroECuDyRg3oB/DIwjPBCnxVQKuT46O0B+OydgcIbKSoT+AF43R3xBkdIKQxUzaZDGW15RrM+eTZ0Zz4AeJqTIxVG6Q9lk8+gbDjKqm0tZ/26BVPmrYFWJ+GJOoMccKY3cWHDeuk6cW4UwJY0fzkceu1GSPqcF+j1WAzWzh4HT3fhdRlMd/Y+KBNIE12IhFgl1G2XPFiv+ige+vOfQ3d+qq1HVW2x3tFQxcyFPPhJwW1o9Xq8MeVnrNx6EBwn4bIlHpfAc72R/EeSdJ04JwrgkmxUJrB+7WBs/WkyohrUEtwGlQkktsIofOHWeQNkQY+bv8jpoDn+KoxXV9t+YNUYI/eAW5e/IAvqbnVbl29koP+73+BM0hXrB1YWnufBMlT28BEUwA9FDBwPlvkCEpYJ9PPxwC/T3sLApzsIboM3FcCQ9C2VCSQ2wbjVgvtjW8H6mt8M4vU50BzqD1PGPjuMrPoSM3xL2n4gDsMnL0BG9n1R232EHizzJRLWTpOyE2dBAdx44BPgmN8gZZlAhQzvDhWnTKDuzAfgCq6KNjZCysL6toB7121g1DXNXuPyL0NzoDe4+4l2GFn1VV74mrJPgLsfD0XdVwBG+A28b5b8iU/nrYZOb7RipBXKhkk2HCmrt0rZiaOrvgHc/OUg6LVrYYMygZsWTICvtzVlAk8Wbh+ZeUjEkRFSDkYOj96pFiv2mLJPQnOwL3jtLTsMrPoqN3wzD0Gz/xnwxlzI/NtA1XIOZIGdBfdVXPbwOKTd1bJ6lz2sjgHMImrQj7YoE7hx4QQ0j6gjuA1ecxO689NguLyYZpYSm2Ld68Cjj/kzQePNLdAefRG8Md8Oo6q+Khu+Jd4BedhAqFp8B9Zd+GdQ8uV0xL5PZQ+lUr0COCL2FbD8fABeUnXh4a7C7Mmv4I1BPYU3wumhv/gT9PGfgDdI+jyGEMsYOTyevQDWo7iwlyH1B2hPj6a9xG2s6uFb4r0ydyijJkIZNQmQCZ/esvKvgxg5bRHu52kEt1ExvgAyfiLO/7FQwk4cSvUI4KhBrcFjrfOUCRxDm9cTu2O9oqBq/jUYVQ0Y0pbCcGmxvYdU7VgTvqXacQ+DqtkMccoe/rIRRpOUd+SY2+BkA5G86qCEnTgE1w7g2oP84YUVkpYJZIAOzRphw4LxqFnDX3Az3P1E6OLGwXjrHxEHRwhxVmKFb0myoO6F21pamNVeWZl372P4pIXYvv+0dHeleQAMjkIu74f4VZKWdbIn1w3gyNjpYPnJ4CFpmcC1c8aha5towW3w+mzoz39OZQIJIUWkCN/ixh+UPWzxLRhVkOAxnjiXiiHvz6Wyh1ZwvQCOeuFF8OyPYOAjVRduahVmfvAS3nvJijKBvBGGy79Cd+5j8LpM8QZHCHFqkoZvyX4UvlBGT4YyYqxVZQ+XbtiL0TN+RV6BxGUPwY5F4hqXeg7iOgEc/UIj8Ow6OEWZwF2F20feixdxdIQQZ2er8C2J9YqAqsUsyEP7CG7DaOQwavoiLF63G5yU65ZcrOyh8wdwUZlA9IOEfx9RygTmpUB37mMYr60TcWSEEFdgj/AtSRbc80HZwyaC27ideReD359rm7KHxrznkLrNqZeJOHcAR8dOBMd/DgaSluyl5joAACAASURBVAn89cuReL5HW8Ft8MY8GC7Mgi7xK4DTiTg6QogrsHf4FmEVUDZ4B8qm08AohD/F23H4LF77+Edpyx4CBvDOXfbQOQM4YvAzYLnfAUhXJlApx8dvDcCnYpQJPDMBvNZlJ/IRQqzgMOFbckzKACibfGp12cOvF23C1AVrpd7WMgs8+zourNksZSdScK4Arj3IH57YAUB41foKMAzQ74l2WPHtaLirlYLbMWUdgy5uDExZx0QcHSFVx8g9Ia87DAyrhOHqaqoZ7UAcMXxLYv1ioG45B7IaXQW3YcNtLU8hD0/i+rpsSXsRkfMEcMyAutDKz4PnPSRpnwEaN6iNjfMmICLcfPP5yuI116E79zEMacsh5d5tjmb42o7YdL64nsWMp8/gvU7JdhwRAQDWoz7cum4F6xUFoLCMZf4/zcEb7tp5ZMTRw7ckeWhfqGLmgvUIF9xG8uV09B/9LRIuXpfuo5Fh8qE2NsHpDRLWVhSPZGtkRaeRHQSkCV8/bw/88rkIZQJT5kOf8AV4I5W7dASpWV44k+6LbI0SWfmqwv8tUCG7QIm2tbPx0eNSThSxP1lgJ7h13gRGVfykhnEPgzy0DwxXVkja95ozdfHGhnYVft9P/U9gaMs0h2nbVpwpfIHCPcCNt3dC2Wg0lI0/BiOv+m6+EeE1cX7L91j/z1G8+enPyLkvwX7iPO9RmBUIE79x8TlHAEfGDgN40csFyuUyjB3eG99OGGZVO8abf0F36l1wBU5x0lVt/JlQC1N3NrP4WqCHa0+Gk9cZAre2Sy3u/2uLW9BBntKtCZWybVtwtvAtYtJAnzQThivLoWr+teBtLQc+3QEDn+6ACd+uwJxlW2E0ir4BUW1Exg7DhbXSnmWKwDkCmOFGinm3nAHQs1MLrJ09zroygTmnoDs9BqZMcbYs1ZtYHLsWgKQMbxTo5AgPyEPLmndRx5cqzwjhyiGrMchwMK0G0u56IF8vR22fArSrnY06vvlQRn8MVbPpsHTMGK+tgfH2TsnHV0PCkJSybak5bfiWwGtuQntsOAwp86GKmQtZQEdB7Xw7YRg+fmsAYsfNxs7DZ8S9K81wIwFQAIuDEV5P6xENwkKwbs77iGlcT3AbvDYduvipMFxeIsr2kSaOwdKT9TFjTxNkFZReUcUyPJ5rfAPf9T4No4lB1KzixfLpH2+Eh1LS2YV20+3nnjh90w8A8Hrbi5jd51SV2wh0d70Avn7PHTP2NMGG+DBoDKVnpzIM8Gy7ICzu8QFCwCCo8whkZBcuk1z9/Vj0b3gSurhxNiltGe6Xj5m94sy+buIZfPSPdXvlSNm2lFwhfEsyZZ9Awa7OkIcNhLrFLDDuVb/r6+vtjn+XfIzTCWkYNPZ7XLwmVo1p8TJDSk4SwFBY24CHmwqzJg3HW4OfFN4IZ4D+4o+ilgmMv+2DEevbI+GO5TV3HM9g0/naOH3TD+O6JJV6zU3hOHtHv98lCS+VeN4WGWj/9fHPRt3E/WnFm570XtodB9IkW7kmuV9P1sfkbS2hNVpeFsLzwNZjdxDTfyJ++2pUUfgCgDp9KXS5ttvFz0NpxMiOKWZfN3GlQ1Ld7jd49etW6nty15Z/t6uybTsSVwvfYjyM19YhP/1vKCMnCC57GNO4HlL/nYcVWw5g1OeLxSh7aHVm2IKzBLBgMpbBi727YOmXoyCXW1kmMG4suLyLoo0tNcsLfX7rjuwC8+VOCpaDiWfA8YUfRldyPDDur9ZFr7srjGAZx5ll3TI0x95DcGmf7GiOuQcjLb6mkvMwcCw4rvD34VbmXTzz5pelvsc9exPgKfkwReEVy1cYws7EdcO3GG/Mh+78VOgvL3lQ9vBlQe0M6/sYhvbujA++WY75K7bDaHKciwwpuHQAt4iqi22/fGhdmcDcJOji3ocxfZuIIyu8Wnnzj3alwjfMtwAfP34e7cKyUM+vcCZ1SpYXlp6sj1+ONSwKYwCQyxwnfIm0lpxoYBa+LUNz8G7HZPRsUxt1ntkIkzwAKWm3sGzzPsxaugWGRya2ONujClcJ4eoQviXxBdcKnw9fXvqg7GHzKrfBsiy+n/wKPnq7PwaOni3xtpb25ZIBLJOx2P3bZ1aWCcyB/vw06FMXArz4H177Lwfh5I3iE4MOdTKxefh+s9vK0TXu45tn4tAuLAuvrSteJpWnK/1Ptys1xKyP2j4FqOuXjzkHI7HmbF3czlOjVWg2pj91FjGhOTByDH462ggr4+rhYrYngjy16FIvAx92Tyh34tfFLE+k5ZR/OdUoMNcpJo8VGORYebouNiXURkqmF3I0StT01uCJhrfxbsdk1Pe375Ky1CwvTPy7ZdGfGQb47IlzGNclCYo6g+DW7ndA5gY5gOgGtfDV+0PxRMdmeOaNGaWKphu5isPs9E0/bE2qhT0Xg3Az1x2Z+Sp4KI0I9tCieWgOnolIxzORN6169OE1yAhMGyL4/bamN7H4K7EW/koKxdlbfriVq4bRxCDES4uIwFz0jr6Bfo2vw0dtMHtvReGbt/dZnLyiRFpOHehNLCJr5CKqxn14qQrb+u+6P45fs7z3vKVb8GKNWwymO3uQvyPmQdnD70othausQF9v7F32GfafTESPV6fBZHK5aoSuGcAqpUJ4+BaVCZwCXpch7sBK+Del9GYfv/Q/Xu4H28Cm17Ayrh52phQGLcczKDDI4a4oPDnov/wxs/f0b3Id1+66lwr6/ZeD0Pu37lgeewQz90Xj6NXAoteu5HjgSo4H/kmuiR2v70aDAMvhs+pMPXyzr/yfr5CNOFbG1cPbG8333F5yogGWnGhQ7ns/6RGPCd0Sq9TftguhGL81BtfvlZ4JfznbE4uPe2L5qXDMf+4khrSw3/KyL3Y3gYErfnQy7cmzGNv5ApSNxkDV8nuAMX+s0r1OKgY3v4r/O128ci9PX/ahfiHDGx/90wI7UsxP4nRGJbILlEjM8MaaM3VRy0eDT3rEO+z6WjFtTQrFh/+0RFq2+fYDl7I9cSnbE9uTa+KzHc0x5fF4jGhX/HiqvPDNubIHX379AZYe72426ZJhgJ4Nb2FStwTsuxSE6bubWhxbeQFszbhFxXMwpC2D8eYWKKMmQRkxDmCrvrtg1zbRUCkVKNC43qRK4Q9FXZDpzm7k/9sK2pNvSRq+AJB+363o/9fy0aCef8VXi6+2vlTqz/e05c8z2Hi+dqnwfShPJ0f/5Y+VCt+SMvNVGL9Vst0+HcKWhFoYvLKzWfiWpDOyeGtjO+y7JLxouTWu3XXHxvPFM0vbh2VhTJfLULf7HaqYORbDV58yD5rDA/F62wulvn5Pa/mDb3tyTTy+6AmL4WvJjXtueHtjW7y3uU2pEwNX8/XexnhxVWeLIfao7AIl3t/aCqM2t4GJY8oN3+MHN6Bp7Gx8t7eBWfgChY+mdqSE4Kklj2NFXD2bjlsqvD4HurOTkf9PcxjT/5asH2fkklfAVcXlpUIXNx7Gm3/arM8aXsVrGXMKFNAaZVDLy7+193j90hso3NMqUNOr4tmC3erfQfuwLKw7F4bL2ea3jjvXzcBj4RnYmhSKc7d8AQC7LwYjI0+FGp6ud9YJFN56LincPw/PRKTDx02PfReDcfjByQnPA+9vbYWT724HY+NHkttTapbaO3fCE9fg0e0fix/s4E3Qnh4DQ+pCAECbWtnwVetx90HwXssxP9E4di0AL63qVCpIGQZoUTMHHepkooa7DvkGOVIyvbD7YjDyS1xF/34qHHIZJ2h5mKP78UgjfLmndEk+N4UJjze4jQb+eXBXGHH9vjt2poTgdl7xjN/lp8IR4m3CV9O+t/hvdHT/H+jx7kpoDBXPEuZ4xuKxKtm4vbT4pIe09cm53AvQHOgNeehzULWcBdazoaT9OYNqHcC84T70iTOgT54DcHqb9t0suHgv3gKDHO/92Rpz+54quqVsiZfKgNfbXoSv2oB6/nkIKRHiD5fbPLGoB05cL35u9HGP85jULQEA8EKzq2i/4OlSbb7W5hJm9/kPDAO81uYiImf1LfrQP3E9AM9G3TQbx5Qe8Zhi4WAN+6pfhVfl5ekWfhvrXirc1GTStpa49OAD6MlGt/Bmu9Ry39soUNhEljq++ZjaMx4vNL1aFLAfdk/A6D9b47f/6gMAUjK9cOxaIDrUyRTUh1C7SzzXd1dw6D3iD8gCzHf24g33oD0SC+Otf0t9/ZnIdNzOUyPcPw+Ng++Veq3AIMfwNR1LhW+bWtmY89x/aB5ivk90vl6Ob/ZFY86hqKLfjyUnGqBHg9voG32j0n+n3HVyAFZUGJNYwh0fTPm39MShpxql46f+J8w2duF54Lf/6mPC3zHQmwp/jt/ta4QhmXXR6pGbJpmXd2PAhN9LhW+Auw4fPp6AznUzEOZTgLh0P/wRH4alJ+ubjSvAXYfLk8q+QLB63Puj8Vz0DbSoKf1qBuPNP2G8tR3KiLFQRn8MRuEteZ+OqtoGsCnzEDSHB4LXirXwu2oGNruG6buaIj238Fb0mjN1cfRqIIY0v4Ku9e8gIjAXwRZ2/KnKFUe/JteLwhconNDlozYUhWSrWtn4tvfpouAJ8dLCR1V81XQm3c9iAEullo8GtXwKr+hLnsnX8c3H0xHpovc3tGUavnv2NDxV5ic9nz4Rj5Vx9Yo+oBLueNs8gK/eLb5qjamvgtpC+HIFV6A50AfcPfMTop8HHC+z7V+ONyj63QOAjnULJwGWdRfGQ2nEtCfPoZ5fPsZsKV4O98WupugTdUP0uwP2mgE9c2/jUiclI9pdxKxnT1n8+zEM8L82l+CuMBXtTc3zPKb/sB4bF0wo+j5T5iF88dUkpN8vLmTQqU4mlg05giCP4mO8a/gddA2/g14R6Xh5Tcei3z3bjBuYuTcaK188XOk+rcLpoU/6Boa0ZXDrtB6ywM626dfBuO5DnApwd+PsFr4AoJabsDT2aKkr3is5Hpi5rzF6L+2ORt/2RcgX/dHph6fw0upO+Gpv46Lbw5XlozKf4VijxAHfLPgeFGzpmYX+7sV3Au7qnGItuyDPRd/AT/1PWAxfoHAby6gaxRtZJGfY/iz9TonbhCF+5ufKpuzjKNjZwWL4VqTkVZaC5TC3738VPgIBCj+4u9Qrnh+RmOGNw1fF3dzEXuGbXaDE5oRaRX+u75+HGU+dqfDkYkjrTHRuXjyp8u/9p5H/YMKQKfMQcnb3waKjxc/yvdUG/DroaKnwLemZyJsY2+WCxdfEHPfgFlfQsW7xSeW/KTXNHs1IjdfeAnfXfFez6qLaBrAj6FQnEztG7EH7sCyLrxcY5Ii/7YMtibXw1Z4m6Pzjkxi6qpPFyRuV5eNW/rIDX7fiANbohRfidnRulVgXG1ziFv+1ciZrSSW/xIchq7kMLq/4Nrzx+npo9jwu6CTyUrZnqeeLL7a8UupkoyLTnjxX6s+7UoOrPAZLctcydl37u+dScKm19qM7X6hwydXDCVf/i32+6Gt6gxEn4y8WrfPdl+JWKtg+6JqIUO/y52580DWx1Mmw2ON+qOTudXoTi1M3/Cr1PiKOansL2lE0C7mLHSN2I+GOD7YmhuLv5FDE3/KFzmj53OivpFqIv+OLPW/sQoCAvY7ZCrY8l5XYXYvnnX8jBGuU/lnYvn8/N33Reu+r2QoU/BsDWdDj4A13Yco4ILjdlMzSpeRa16pa/fKWoTlQsFzRLc8LVtwd0B5/Fbn6NMHvF1PSndJ/j7FbWmNsidvtZfvB7Cs3Lh2F5tpY8MZcxN+qVeq1TpV4lKGWm9CiZg72XKz45Eb4uM3dyqv6NpJEOApgB9E46B4aB93DhG6J4HkgPdcNaXc9cDnLE8evB+DPhFpFV75p2R4Y82drrBhio+c1xC4C3XW49uA5cFqOB3hjHow3t1jdbmZ+6TsokUFV27dbwXKoH5BXFLwZ+cLvyDiSjHzxwseYNBN8dOHEwDuPhFrTkHuW3mKmSfC9SgWwmOOmW6K2RT9vO1lxuh7e29wG721ugz8TS58hMwwQ6q1BpzqZeCkmDXP7/oe4MdtKnTn/lRSKKzkVr/UjziumxP7at/PUyNFUfRMDS9SP3J7MFvBII1tT/B5HKgpiDYVMvJ2WPOUlCmGY/bwr9+/46G53ZRFz3F4W5o0Q6dAVsJ2cuumP308VzorM1ijxXAVLOXzUBkx5Ih7PLu0OoHCd4Kmbfqjr5/jbPQpR8kOFq6a3wjvXzcCvJSZLbTxfG6+1uVTOO8qWp5MXTTir+cjzx/O3fdAnqvJLiTLyVMjIKw7gip5nOotHJ0UtHXQUvo9u1ShTQ9Xkc4t7HHP3z0N3bgpg0qBVidv6oY+s1T93yxe1fQoqHE98JSddVmrcldSqio8jiHUogO3Es8Ts55PX/WHkGMjZ8h80Rj9yq/BWid20XE3JPWoNVViO4UqeikiHu8JYNIFn7qFIvNQyDSp51a54/k2piTf+aIfVLx5Cx7qZiKmZA7XcVFTWcGN8bYx/LLHC37+HVp2pV+rPnetKu2ucrbStU3oypN7E4omGxZPcCidcrSqnsMLb4MPN16M/9sgGOr+fCsczkeUv7zt3yxen0ys3IaqicRPHVT0/2RyAR4nlL+m5bvi/Smw79+jG7CV303I1JZdQpedW7hmX3sSKdpvWEfioDRgaU7wP9eVsT0zdab4WuCwcz2DWgSgMWdkZORolhqzqjOQML7gpTOhZ4gM64Y4PfjgSUak2b+Wq8fW+xkV/Vsk5PNnINT7sO4Zlljrxm76radHJT2WrGl3M8sSozW1KrbGOrnEf0SVmmf+dFIotjzx2KtUex2DC1phKbw9Z3rgry9K4ifQogO3E85FlMF/salru1nNnb/li9J/FMxtlLI/H6rnGlYcl/iV27/nvun+5mxJcyvbEZzuaIWpWH3yxy/Lm9c5qfJdEeJf4cF14JALTdzet8MP59E0/9PmtG6btbFZUCSlHo8TyuMLHHuMfSyr1/TP2NMFfSWWHAlB463nIqs6lnk0ObZlmccMYZ6SSc3i7fXGRg+v33PH2xrYwMF4Vhu+FdOCNDe3QZkEvLD8VjlkHokp93+THS5fUe219B/xy3Hwrxow8FZ5f1rVoK1Rrxl2ZjTySM7zKHTeRFt2CthPPRyY73M5To8tPPfFmu4toUzsLTYLuwcCxSMvxwMbzYfgjPgwaQ/G63P5NrpX64HtYjvCervgK8Pp9t6KvNw/JMdvX+eHrChmHruGlb5OVfD0y6D5qexc+s0rO8MK1e5YnfxlMxaGQnOFtsUQiy/B4vMFtyz+UErqG38Evxwo/oO5qlXhnU1uM7nwBjYPugeMZXMnxwKErNbDhXBj2pQUVLRNafbYOvnj6TNHEoN0Xg4uWU5W8Or6VW/yzCfUpKLpC2XOxeE1lRonJSXfy1UXf76Y0VmopSZkYOVj3OuA01yvcArWWjwaznj1dtGMRAHy7Lxr/XKiJN9unokfD26jpqYHOJENKphcS73jj/+LqWSwgMbJjCj7veRYA0Lp2Nl5ve7GoypTGIMPQVZ3QN/oGXml9Ge0fXFXpjCxSs7ywJbEWFh6JKLXVaE0vTZn7B5f1e2J65Hn++ds+Fn9P5CyHbvXNfyelbvu9TslYc65uUTGDTedr49zPjTHeqMfTXW4jrGYg5DIWmTm5uJywEzv+mIbtSa1x+EpgqbkKv/9XH2O7XCg6bvo3uY5NTa5j4/nCClU6I4sPtsZg0fEG6BCWhVBvDU7d9MORq4G4L2A7V0vjPpPui/c6JqNnw1uo5auBnOGQVaDCtXvuOHA5CNuTa1Y4biIt55jdEjXoFoBKr/Z3d1Mh/9Tycr/HkLoQ2lPvWjsywdbHh5Wq71sVtXw02PvmzlIB7P3ZoHLfs+rFQ+gdddNsr2gACPbUImVC4fIWS6/P6ftf0eSfydta4oejjQSNGyhc33jnkw0Vfp/GIEPr+b3MqhXJWb7C2rY/9DuBYTFpAAD/aQMr/P5XWl3G/OdPAgCCpg8oejZalvr+eYgbs62Cv4FlsoAOUHdcA9a9DnjtLWgO9oUp+2SF75t9MAqf7bB8+1nG8uB4psy1yj5qA+Y/dxL9mlwv9XWdkcWA5V1xIM3yTlYl1/o+yktlwIaXD5S5iYy1vyfl7X0sZdsAcOaWL/os7V7mvuYKuQwGY/kzvzvVycS8504iokbxM+F8vRyx/9elzJ+3NWOu1LjL+fcsb9xSU7daAEXDUeV+j0erl6tajvA2ktZVrsSXHdEtaDsxlbg95KYw4eVWlyv1vogaufjrlb0uc9uvLG4KE37ofwLKR5ZYlBemzUPuYsHzJ/FC02tSD08QRZ2hcO++B6x7HQAAow6Bqvk3lXrvuC5J+KHfCYsF1E2c5fCVsTwGNr2GI+/8axa+QOGty43D9xedrDyqrA/rcP88/PN62Tu4ObsWIXex660jaFTb8izk8sK3XVgW1g87iO2v7zELMQ+lERuH78fIjikVTnh7ouEtDC/xmaBWVDzxrkXIXewcUXYd7/LCt7xxE+nQLWg7KVkgvZ5vPhY8dxL1/fPw/YEo5FrYgznQQ4e32qdidKfKbzPn7LqH38E/r+3BR/+2wJErlp+JBXlo8WTELbzS6rLNiyVUHgNV02lQNp6CR286MarKP+sbFpOGpxul49sD0dgYH1aqpFxJHkojXmqZhvc6JVe4TE0p4/BDvxN4tfUlzNzXGPsuBZX57LBRYC7+1/oS3myfanZi5EoYuQdaDliN+Ne74KfVO7Bw5XYkp5VdDKRRYC6ejkjH8FaXK9zSUynjMLNXHEa0uYiVcfWwIyUEV++6Q2eSIdRbgxY1czC4+VU8E3kTH/3Touh9AW6Vu/qLrHEfx0b9g19PNMAvxxsgNcurzO+tyriJNOgWtJ2cuB6AnQ/20A33y8eQFoWzXQsMcuy7FIRr99yRq5PD302PpiH30Co0G7JKLhNxRTfvu+FChjeSM71g4hmEemnQICAPTYPv2rxOb5XI3ODW7nfIwyw/ItD+9zYMF3+ucrMcz+C/G/5Iy/bArTw1OI4pKiDRIjSn0kuKHpWnk+PI1UDczHVDZr4Knkojgjy1aBp8T3DJR2dS1mzni1dv48TRbbhx8jvcL+AQ4K5DiJcWMaHZpcqCiunpXx8vOvHsHXUTq148VOU2Lmd74vRNP2Tmq3Bfp7DJuKuqOt+CpitgO2lbOwtta5vfwnNXGCtcI1gdhXprEOqtqdQELkfBqGvCrctmyPzbmr/IG6GLe19Q+AKFk9nK+h2yhqfK6DLLiqqqvKVG9dxTESwfDb6NbU5CFh9vUOquT/f6wn7vw/3zEO5v+ZY0sT8KYEIkwPo2h1uXLUXPe0vijbnQHhkCY/rfdhgZsaSy63zFcibdD+m5ahhMLAwmFiaOQYFRhuQMbxxIq4G4m8WbcHgojejf1PwZPnF+FMCEiExe81moO6wCozCvEsTlXYTmYF9w9xPtMDJiia3DFwBm7o2ucN31Q9N6niuzdjBxbhTAhIhI2WgMVC2/BxjziUymzEPQHOoPXue6G6g4G3uEb2W5K4z4/MlzeLN9asXfTJwSBTAhYmCVULf5GYp6r1p82XB5CbT/vVPhxhvEdhwpfOUsjyBPLYI8tQjx1OKx8DsY1Oyqw0yUItKgACbESowyAG6d1lv8IAd46M9/Dt35qTYeFSmPvcN35YtUy5tQABNiFdYronCylZd5MQPemAftsWEw3thsh5GRstg7fAl5iAKYEIHkIU9B3XENGIX5jkm85gY0B5+DKeeUHUZGykLhSxwJBTAhAijqvQp128UAY75vtCnrSOFkK63zrFmuDih8iaOhACakihi5F1StF1oMX8PVldCeeB0w0eQZR0LhSxwRFWMgpKqUvmBk7o98kYcu/lNojw6j8HUwFL7EUVEAE1JFfME1mG7vLP6zqQCaI4OhT5gOoPru1+2IKHyJI6Nb0IQIUHDwOSjrjwCjDIDh6mpwuUn2HhJ5BIUvcXQUwIQIYdJAnzLf3qMgZaDwJc6AApgQF+AVW/rWd+5aR67RKC0KX+Is6BkwIU7MK5Y3C9+HX6+OKHyJM6EAJsRJVRSy1S2EKXyJs6EAJsSFVZcQpvAlzogCmBAnVF2CtTIofImzogAm1RsjA+vTDIzSz94jIQJQ+BJnRgFMqi3WKwIeT8XB4+mz8Ox7A/KwwfYeEqkCCl/i7CiASbUkD3ka7j2PgfVpWvgFmRvUreYDqL7Ld5wJhS9xBRTApNpRRoyD22NbzcoIMgpvgHGOQ4LW+VL4EufnHJ82hIiBVUHd9leoWn5vsZKRPmUBwJvsMDBhKhPCrhbUFL7ElVAAk2qBUQXCvds/UIT/z8KrPPRJM6E7O9Hm47JWeQFL4UuIY6OtKInLY/1i4NZ5E1j3Omav8aYCaI//D8Zra+0wMnG4WtBaQuFLXBEFMHFp8jpDoG67xEL9XoDX3IDmUH+Ysk/YYWSksih8iauiACauiZFB1fwrKCMnWHzZlHkYmsMvgNfesvHASFVQ+BJXRgFMXA6j9Ie6wyrIQ56y+Lrh6ipoT7wOmDQ2HhmpCgpf4uoogIlLYX2aFj7v9Wxg/iJvgu7MROiTv7f9wOzk4ZaVzvacmMKXVAcUwMRlyEP7QN1+BRiFj9lrvD4b2iNDYLy9ww4js71H94ou+WdHD2MKX1JdUAATF8BAGTURqmZfWtxIg7t3DpqD/cDlX7LD2GyvsmUKHTGIKXxJdULrgInTU7f5BarmX1sMX+P19SjY1YnC18rvtQUKX1LdUAATp8a41YKi/uvmL/AcdOemQHM4Frwxz/YDswNHC9SqoPAl1REFMHFuvAngSwcPb7gHzcHnoE+cAcB5Q8kWHCG0KXxJdUXPgAl4Hrh+zx2p2V64mOmJa/fckatXIE8nh9Yog4/KAH93Hfzd9PB316O2TwFa18qGt9pg76GD196CPnk2lJHjAQDc/QRoDg0Al3vBziMj9o+M+QAAIABJREFUleGM4evMxwtxLBTA1VRihjd2pYTg8JVAHLkaiKwCVZXezzI8ooPuo11YFrrUzUCf6BtwU1S9kIHGIMOcQ5FVfl/HupnoHn4HAKA78wEMV5aBUfjAlHUM4PRVbo/YnjOFrysdL8RxUABXI6lZXlhzpg42JoQhOcPLqrY4nsH52z44f9sHS0/Wh5fKgIHNrmFYTBra1s6qdDspWV74ak+TKvc/tee5Uh8o3N2zVW7D1eSuZRzilnJlOEP4uvLxQhwDBbCL43lgZ2oIfjzWCLtSQx59XCqaXJ0CS0/Wx9KT9dE+LAufP3kWHetmVvi+S1megvrzcxPnKvdOvhoNv+krSlu2wjCAnOEgY/mi/+QsDy+VAb6rJsDbwx0+XoX/1akZiPphQQivHYT6tYMRVjMAcllxKUZ7LEVy5PCl44XYEgWwC/snuSam7WyG+NvmG1NI6di1ADz96+N4NuomZjx1Bg0Cyp6FfDGbPlCqiucBA8/CwJX+enaBEldyrpT7XpVSgbbNGuCx1tFoU/A+2ocpbPps0pHDl44XYmsUwC7oTLofJm5riSNXAu06jr+TQrH3YhC+6nUG/2tjeR3uJfpAsSmd3oCD/yXh4H9JAB4Dy/DoEJaF4a0vo3+Ta4KeS1aWo4YvHS/EXiiAXYjGIMNXe5pg/pEImDjH2OWowCDHmC2t8U9KTSwacBxeqtJXWxczhT1b83enDxQxcDyDw1cDcfhqID74OwYDm17Fa20uoWVojqj9OGL40vFC7I3WAbuIM7d80fGHpzDnUKTDfJiU9HdSKHou6oGrdz1Kff1SjsAzevpAEV2eTo7f/quPrj/3xGvrOuD6PfMaykI4YvjS8UIcAQWwC1h+KhxPLuoh+PaUrSRmeKPHLz2QlOENoPBs/1auWlBbnkqjmEMjj1gfH4bW83thxu4mKDAIv1HmiOFLxwtxFBTATozjGXywNQajNreB1iir+A0O4E6+Gn1/64aUTC9cFDijEwBUMumeVZJCGoMMM/c1Rqt5vXD8WkCV3+9o4UvHC3E0FMBOysCxGLG+PX453tDeQ6my23lq9PmtG3akhAhuQyHjKv4mIoqb993w7NLuWH4qvNLvcbTwpeOFjhdHRAHshAwcixdXdsL6+DB7D0Ww9Fw3TN3ZTNB7GQaQs86x4YSr0JtYjNrcBh/8HQNjBc9MHTF86Xih48URUQA7GZ4HRm5si39Tatp7KHZDt9Ps55djDdFvWVdoDJZv4Tpa+NLxQseLI6MAdjKf7GiOtWfr2HsYdqWU0+00e9p/OQjD1nQyuxJ2tPAF6HgB6HhxZBTATuSP+DDME7ARu6tR0vMsu9uREoKRm9oWbdXoiOFLx0shRzleWI96cOv2L7wGmeDx9Dmw3lXf09rV0EYcTuJKjgdG/9la0j7q+uWja/gdtArNQaCHDgHuOgR46BDgroefmx56I4v7OgXuaxW4nadGwoPN5U/d9MO5W76Sjq0kFZ3RO4Q1Z+oi0F2Hr/ukOlz40vFSzBGOF3lYLNRtfgGjKNzmk/VpCnXbRSjY1cnOI7MvCmAnwPEMXlvfHrk6hajtsgyPvtE38ExkOrqG30Ftn4Jyv1+h5OChNKKmlwaRNe6ja4nqKldyPPBnYi0sPxVetG5RKoxUO+STKlt4JAJhLV7BJAcKXzpeSrPn8cLIPaCKmQdF+Gtmr7GeDewwIsdCAewElp+uhxPXq74OsywqOYcXW6RhbJcLqO9f9sbvVVHXLx/vdUrGux2TsSWpFmbubSzZWb5GxDWcQR5a5Hy2vsrv85s2UFB/LUNzsOeNXYLe+xAHBjoDC61RVvSfxiCDzsRCY5ChQC/HtbvuuJzjibQcD5y+6SfarlaWfLzoGLp1T0GHFo2KvmbPvZ3peClNzOOlKli/GLh1WAXWy/JjAMPV1TYekeOhAHZw97QKTBO4/MCS2OZX8cVTZxDipRWtzZIYBngu+gb6tg/E3AuxmL54FwxGcWdhljUDVygZy5dbR1fMkn3Mg/6sIQMPhYqDp6ryuxulZXtgf1oQNiXUFr3MnsnEYfikBYjb9A3c1Sq7hq+zHi+9I29i1oEozNzbGAZO3Kk5Yh8vFWOgjBgDVfOvAVZl4XUe+gvfQ3d2so3H5XhoEpaDm30wCpn5ln6Jq8ZNYcLC509i8QvHJPsweUhR50V4PXkYn4wZgUMrv0BQgLjl3cTexaiiIvbOUuS+PPX88zG81WVsGHYAJ9/djjfbpYo6OSflSjomfLPC7iUFnfF4AQpPyiZ2S8SOEXtQw1Mnatu23PWLUdWAW5c/oWo522L48roMaA70ge7MBwBP22NSADuwfL0cS05Y/5yknn8+9r21Ey+3uizCqMqnavEN1B1WgpEV3vJs26wBDq2cjvDaQaL1wfEM9Cbb/uq6Qgg/1CgwF9/1Po39b+9EjIhVj35Y9Q+2LHnZbuHrjMfLo1rVysaO13ejrl++aG3a6niRBfWAx1NxkIf2sfi66fYu5P/TAsb0vyUfi7OgAHZgK07Xwz2tdRNJAtx12DhsP6Jq3BdpVGWTh/aBMnKC2dcb1gnBti9awc9NvMLvWpFuq7lSsFZV46B72P3GLkzoliham+/80UT0yU+V5WzHS1nq++dh8/D9otbwFet4sYiRQ9VkKty77QDjFmr+Om+E/vw0FOx/Crw2XbpxOCEKYAe22MqzeTeFCeuGHUSDAHEmjlSE9Yo2/yJvhO7MBIReGYEVQw5Z/fzzIXtNLBGbVyxv9p8tyVgen/SIx8xecWBEeNSdnuuGBYcjrG9IAGc7XspT3z8PK4YcdvjjhfWoB/fH90HZ5DOAMY8TLj8NBbu7Qnd+KsDbfzmUo6EAdlDJGV64YOXyhG+ePY02tbJFGlHFjLe2AVzxWTuvy0DBvqehv/AdAB6P1cvAmM4XROlL0jN6GygvbO1xVT6yYwrmPXdSlLbmH4lAdoFSlLYqyxmPl4o4+vEiDxsE96dOQxZoeS2v4cpyFPzTDKasI6L37SoogB3UX0m1rHp/i5C7eDkmTZzBVBJ3Lx4F+56EIW0Z9Cnzkf9vK5ju7C71PR92P4+GAdY/I3SVK+Cy2COEX2l1Ge91Sra6nTydHHMORokwov9n77zDo6rSP/6502fSe4CE0AmEXgQEFRAU166ALir23sta1nVddd2frgXFruha1xVUxIogiDTpvYQAIZAQAult+sz9/RESCTMhk+mTnM/z8Gjm3nvOezN57/eec97zvp4Tif7iCeHoL5IqBt2Id9CPmYukdt06JdtrMa+9BvPamcj20M8mhDNCgMOURXm+JY9/7k9bUEjBf4g7SpdjXnctls33IJuKXI5rVU6/rDn6643en1uMPMVTcQ2FCD81eRtjs0p9bueddb04Wudd8XhviFR/aY1w8xdFVHcM52xC3eMWt8cd5Wsx/jwE28FP/dJfe0cIcBgiy7DtqPeb8od0rvTLQzRQTB1YSJc4k09tGIM8Ag6FUIcClULmw+lrSI7yLQDIZFPycpBGwcJfWsdf/qId/jaKaDc1lWUn1tznMP56Bs76fL/01REQAhyGFFRGU2fxPkfKxf1dR57hhFrh5M7Rvk111vgY7XoirYlrRxHfRtLjlfzzjnN8buezzd2CkgRC+Evr+MtfFDG9XT6TTcUYl5+DZdtj4PTfToeOgBDgMGTHUd8SV1zU77CfLAkc1w3PJ07nvbNWGH1PtnAitXMlF6F191l7p7Gq0c3X3c6gvlk+tVVjVvP9bt/WZj1B+Evr+Mtf7IXzmv9c/D31i4bgOOpbetWOihDgMMSXTD5alZPeyaFJhNAWorV2zs/2/sEXqCjbRtHtaMILzUsKKhQSrzx2nc9tfrKpu++GtYLwl9bxl79Ytj+OedNd2PLfxbz2GkwrL0K2hO/0fbgjBDgM8WW6qFOsb2tFweSc3iVeX1vu5xFwMPFU3IP5EuCunu+EUTlccvZIn9r9rSCVQ1VRPlp3aoS/tI7f/EW2Y9v3BuYNtx4PtAq/wLVIQghwGFLtQyah1Cg/5K1VaFFlTkeddTWSOnCl0ib1KkHlZaKBClNw95k2EqxkGaEW30aeuc63QCpZhs+3+jaV3Roh95cgEYn+Ijg1QoDDEKUP2yGMVt8KXCmiexE1aR36MV+gG/UJhknrkFTRPrXZErE6G6O7lnl1bbkfEu63FX8K76mmucNFfB1lq+h26CpGZpT71MeivHSfrm+NUPpLMIk0fxG0jhDgMCTeh5zJx+q8dzRVl4sxTN6AIn5Q02eKmL4oW0iu7g/G9zjq1XXBfqMP1Kj3xDXnYK89tya+jVWNZgw56FM/m4oTqTIH7vsKlb+EgkjxF4FnCAEOQ3xJwn6sXtf24uuSEu2g59CPnY+kdhNRagtckMqQzlVeXRfsVIftDU/FF+DygYVoVd7n8XU4JX7L9181rJMJur+EEOEv7QshwGFIvM63JAhL9qd5fK6kTcVw1mI02Y/QUC6+Ofbi77CXLPTJnlMxMN27B4o/ar56SnurmNQW8YWGv8c/9S32qc+lbfibbCvB9JdQEwn+IvAcIcBhSKqPBcDfW+smU40blIkjMExehzJ1gpujMta9szGtugxkh0/2nIpOMSaSo9pegLzcpEVuX7oYFNoqvo3MGFLgU7+BHAEHy1/CAX/4iyKmL/ozvifqT3loB78IUuSsg7c3hACHIQPSqtEovZ/y21YSz9c7Mk95jrrHLRgmrkJhcI1QlW01mFZPw7L5XpDtXtvhKQPT2v5W73BKAV1XbI94K74AZ/U4hlrh/d/kAR+zVZ2KYPhLOOGLv6i7zcQweQOqTuejiO6Npu+DaPrcGwArBZ4gBDgM0akcDPJyqqmRB34YRnGN3uVzSRWNfvTn6Ea8AwpXAXNWbcG4eBj2oq986r8t9Ez2rmJKaZACaNpDUg5fxBca/ib7p3pfpF6WYYcP+ZpPRSD9JRzx1l9qesxCd9pHLrsaFAnD/WGWwAuEAIcpp2X6tvWjwqjhko/PbLb2o4jpg+Hs31F1vdLtNbaDn2JcMhZn3X6f+m4rPRI8e6CkRFsYlVnOlYMP8tcJO30KvulI+Cq+jQz1sVbudh9TRp6KQPhLuNJWf/nziFr+cctEUvtf5fa8k0uGCoKHmPwPU87sfow317gmPm8LuaWxnPP+BD7782oGDpuCbuQcJFWM64kOM+bN92DLf8+n/ryle2LDA0WSoHOsiR4JdXRPrKNH47+kOnok1BGtDfx0eEvUzpUiMhjLX+ILMLRzJR9u9N6WHSWBGQGD//2lX4r3o/1A0xZ/Ufe6E93gF0HppjSk7MCy82ls+XOCfAeCRoQAhynn9DlCWrTZ55qq+8pjmPDueTx621QeGKIh6qRvXDYWYvp9Go7ytT714wtndi9l7V0/0y2+Hr06cAFfHQ1/ii/AsC6VPtlzoDwwCV3Av/4y/p1JPHBGLnefnodBHbqXvpbwxF8kVQy6ke+hyrzC7XHZfBTzupnYSxYF0lRBK4gp6DBFpZC5emiBX9oyWp38ffZcek6+izf++zM2e4PT2o/8RP2ioSEVX4AYrY1+KTVCfP2Iv8UXoH9atU/7gQtrArff1p/+YrIpeXZpDoNmnce763phc4bXY7I1f1EmDMNwzuYWxdd+5Cfqfx4oxDcMCK+/LEEzrh2Wj+TH+J+j5dXc9cz7dD7zFm6971Z++ex6HBbf1vUE4UcgxBca6tL2T6322q7D1YENcvK3vxyr1/HQD0Pp88IFPPDDMFYdTMEph3dAnrrbTAwTV6KI7ul6ULZj3fkUppUXiApGYYKYgg5juiXWc/XQA34v6VZWWcu7P8O7nEmnGBPjexxjVNcyRmWW0y+1BoUPuXUFoSVQ4ttI1/h6NhcneHWt2a6k3KglydD2fayeECh/KTdqmbOuJ3PW9Qxbf5HUsehGzEGVOc3tcWd9Aebfr8BRsS7IlglOhRDgMOfpydv5fncXKgOUy/VIrZ7Pt2Y1VayJ0tjplVRLj8T6pqCOxgCPTjEmv44wBP4l0OILkBbtW9KLSpMmYAIMHdNfFAlD0Y+ZiyLafUIRe/G3mNddj2wVs13hhhDgMCfJYOHJSdu577vg7NWrt6rYeiSBrUdcRzlalZOMOCNd4+rJjDeSGW+ka3w9mXFGMuOMZMQZUXpZLk3gG8EQX/BdgI02pc82nIqO5i/qbjPRDX8blG6m92U7lu1/w5r7b0Td3vBECHAEcP3wfH7Zm873uV1CaofFrmB/eTT7W4hm1aqc9E6qJTu1muyUGrJTa8hOrqFHUp3XdUwFreOJ+EZf9se2Gl8Si3iTBvFETB4I8InbvbyxtSP4i6SKQjfyA1SZ090eF1POkYEQ4AhAkmDO1HWcO2cCWwO4l9JXLHYFO47GseOkhAsGtZ2JPY9ybt8jnNO7hE4xphBZ6BvhuBe4NfFVJo9tJr7wh8B5I24GHyPVTfaWBdjd79YbWzuCv+hO+xBVxlS37doPL8C8/npkq2/bxgSBRwhwhGBQ2/nfjJVMev/sgEeT+hujTcX3uV2aRiSDO1Uypc8Rrhx8kJ5J3qXVCxV/CIH7YJdg4on4noqY6XKbRVir8lGAre4fOa292LTV1vbtLxKqLpe4Xui0Ydn2CNa8VxBTzpGB2IYUQXSJM7H4xqVkh3GWHk/YeiSB53/rz/DXpjDj89NZW5gUtL5jpstN/yIZX8W3kbb+Hnzdq+1uDThQ30X79ZdEnDV7mp3jNB7E+OsZWPNmIcQ3chACHGFkxBlZdNOvjM2K/H18Tlni+9wuTJ4zkWvnjqGwKnCJGtyJbqQKsSdrvoFC7UPVIQC7w/tHjjffVXv1l6m3/4UDucvBacF28DOMi4aFPKGOoO0IAY5A4nVWFly7nPvH5YbFHkR/MH9nBiNen8KrK/v6vc6vJ9ObkUKwop1bwuxjFLNBE/zUju3SXzZHkzP9Vf5532BMa64WW4wiFCHAEYpG6eSpydtZeMOypuTskY7JpuSJxYO4+KOzOFIb3HW7SBDhUIsvnDqIyhOiQiDAIPxFEJ4IAQ5jJFUUmuxH0Q1/E1X6OW7PGd21jDV3LOLpc7YRp7MF2cLAsOxAKuPfOZvtfohgjQRh9YRwEF/wwwg4xPm+hb8IwgkhwGGKIrY/hknr0Q76P9Q9b0d/xk+o0ia7PVevdnDf2D1sv/9H7h+XS2w7eLAcqdUz5YPxLDuQGmpTQo434utpxHBbo6CNEToCPhHhL4JwQQhwGKLOuhrDpHUoYvv98aGkQJXpft9fI/E6K09N3s6eB7/npQs20Scl8COiQFJrUXPFZ+NYcyg51KaEjHAZ+TbS0jYiT3EnwG15CfDnjIbwF0GoEQIcTij16Ea8h27UJ0iqKJfDztp9HjUTpbFz88j9bLhrIUtuXsodo/fSOTYyk1+YbEqmfzaW3NLYUJsSdHwV39aEzZtEHCU+1tttqb6uL9m5fEX4iyBUiEQcYYIith/6MV+giBvo9rj9yA9Y973W5nZHZpQzMqOc/5uyhS1HElhVkMLKgymsLkimyhyYhPX+psqsYdpn41h9+2JitG2bLgzH7FWe4K+Rr7+FrbjGt2CfaD9MQXuTQMRTOrq/CIKLEOAwQJ11DdrhbyKp3OWMlbHm/hvL9r+C7P0eTEmCoZ0rGdq5krtOz0OWYdexOFYVpLD6UDI7j8aRXx4ddsXHGzlYGcVDPwzlncsCk9s2lCOwkwm3aecTKar2fq92tNZOtDb0a8CeIPxFEAyEAIcQSWlAO/wN1N2uc3tcNh/FtGYGjmNL/d+3BDlp1eSkVXPLqIapbbtToqAymj2lMeSVxZJXFkNhlYHDNQaKa/QeJdIPJJ9vzeK8vsVcklPUputaGwW3N/E9+V79eX+Ha7wX4B4Jkbv9pyP5iyB4CAEOEYqYbPSnz21xytlxbBmmtVchm4qDZpNKIdMrqZZeSbWcj2u/VWYNh6v1FFRGsb88hv0VDZVe9lfEUFyj93sCDXc8vmgwf8ouRtPGjEwnipAvxQgCia/i29JLhr+mbK0OBSW13q8Bt5f9t4144y/5dVnsr0zm8LEq5CA4jLf+IggOQoBDgLrbTLTD3nQbaPXHlPPjIId2z+TJxOusxOus5KRVuxwz2ZTkV0STWxrL8gOpLN2fxsFKd/fnG4VVBj7c2INbTvMsIM0d4Sa8EDjxPfG4r/e9+1gcDqf3bXRPqPep/0bC8ftzRzN/kZRoBzyDpt+jgITJbGXfoRJ27S9i6ZodLF61mQOHy/1ugz/8RRA4hAAHE6Ue3dDZqHvc5PawbDmGee012EsWBdkw39GrHU1TdJcPKATgQEU0/92SxX829OBYvW/Rsyfywm/9mDnsADofK/OEC8Fa8/VVhLcc8S3RQ2sj4EgNmGsNSZuCbvRnzfbx63UaBvbpysA+XZk6So155L/YX1Qu/KWDEZ4RBO0QRWw/oiata1F8Hcd+pf7nIREpvi3RPbGOxyfuZNeDP/D+5WvpEuefrR1H63T8tKeTX9oKNYFY8w0UW48k+HR9dw9KT57qBaF2rhQxo99GlClnEHXOlhaS6MhY987GuHQsTuNB4S8dECHAQUDdbSaGyRtQxA1wPSg7sO58CuNvk5DNR4JvXBDQKJ1MG3SItXf8zIwhBX5p84ttWX5pJ5SEc7SzO7Yc9k2Ae3oYhNUotCf/iywkNL3vxXDWEiR9Z5ejsq0G0+9XYNl8LzibbxUS/tJxEAIcYDT9/47utI+QlK7Ro7LpMMZlE7Hs/IdPW4wihVidjbcvXc9LF2zyua3FeemUG7V+sCo0RJr41lrUbPVhCjot2kxmvNGPFoUvkjoW/elz0Q59BRRql+POqi0YFw/HXjjvlO0If2n/iDXgQCIp0fZ71O0he8lCzGtnIltc65Qu3Z/GU7+4j44+FS9dsIkRXcK/LNnNI/dzqCqKV1f29boNm1PB8gMpXBqBWyxCKb7ergP/mp/q057X07PKvL62NcLJXxQJQ9GPmYciuqfb47aDn2DZcBuyw/OXkY7uL+0ZIcABRUZ2WpGUJ2QPku1Ytj+BNfd5wP3andMpsbm47dN9O0riI0KAAZ6etI0txQn8lu998vhNxYkR90CRJIXfxbetwUveiPDiPN/WEMd0DZwAh4u/qLvNRDv8LbezXTjMmDffgy3/Pa/a7qj+0t4RU9CBRHZi2fowyA3Zf5zGQxh/HY819zlaEl+ARIPVq+4OVPh/20+gkCR4YFyuT21sLEr0kzXBQ4rpHZCRb6DXSH/Zn+7T9WO6uc70+IuQ+4tSh27knBaXmpx1e6lfMspr8YWO6y/tHTECDjC2/HdxlCxEiuqGo2IdOMytXpOot3jVV36Fu1SW4cv4Hkfpm1LDHi8Tx3sz6gk1kirG5bNwXPM9kVUHUzhc7X0O6GitnQGprnvH/UUo/UXSd8Fw5kL3AZaAvehLzOtvRLbV+NxXR/SX9o4YAQcBp/EQjtLlHokveP9GH2kCLEkwfeAhr6+vt6pCnu7PV8JdfAE+2tjdp+tHdy1DqQjcVqlQ+otu2Bvuxddpw7Llfkyrp/lFfEH4S3tECHAYEquzofLigbWnNDbiHKyHB3tDT0WlKTIq1LgjEsS32qxmwa4Mn9q4MPuwn6xxTyj9RRGb7fKZbCrC+OtZWPNe8altd3Rkf2mPCAEOU+L1bX+rtzoUEVeMu6uPW1Mi9YESCPENxDrwfzd380mkVAqZi/sHPvAnVP5iP7yg+c8li6hfNAxH+e8+tdsSHdVf2itCgMMUb6fVlh/wPkoyFGTG+ZYfuNbius8y3An1yNdToTbZlMxa5TrCawsTeh71+m+5LYTKXyzbH8ey5QHshV9g3ng7phXnud1a6C86or+0Z0QQVpjSEFjiGrDTGr5sUwgFSsm3tUG9Hwq8BxPZXhdQ8fVn6cX31vXyqfoRwFQf1izbQsj8RbZjzZvlWxttoKP5S3tHjIA9RNJ3RhE/CKTgrLF6+0a/+UgCpXWRk/HG1ymxOI2t9ZPCCLl2b8BHvi2lbmyL+NaY1czyIfEDgFbl5ILs4JTTFP7iGZHmL+0dIcCtoVCjHfQ80RccIuqcrRgmrUNS+1YVxhMSvVjTAnA4JT7a1MPP1gSOgirfIlFjdZH1QJGDWGLSl1zKj/082OfUhZfkFBKjDc73I/zFMyLNX9o7QoBPgSKqB4aJK9FkP9w08lUmDGuxopE/SfDygQLwwfoePtVtDSa+JAeI0dqCsr7Y0Vi8N51PNvm29QjgvrF7/GCNZwh/aR3hL+GHEOAWUGVegeGcTSgTT3M5JqkCv9/Wl5FDUY2Bn/JcK7CEIwt9SHHYP9U/+ysFf3CsXsfd347wuZ1zeh9pKEQfJIS/tI7wl/BDCPBJSEoDuhHvoR/zPyR1nMtx2VKKreDDgNuhU/s2Vfnqyr7IYV7bfHdprE/ZefoFMLtSR8RkUzL9s7EU13if9aqR+8YFb/QLwl88QfhL+CEE+AQUsf0wTFrT4hSzo2IDxiWn46wvCLgtepVvD5S1hUm8v959RZZw4blfc3y6PpAVdjoadqfEDV+OZtNh3/MFD8+oYFwAcz+7wx/+8tGhW1F1+pOfLPI/wl/aH0KAj6PuNhPD5A0o4tyVNZOx7p2NcelYnHX7gmKPVuV7feAnFg/iUFV4Fmj4NT+N+Tu9z7AkSXB2zxI/WtRxqTGrmfrpGfyQ659p2H+es80v7bQFf/jLX/9n5GiPD9EOeMYPFvkX4S/tkw4vwJI6Fv3oz1usZCJbSjGtuADL5nvBGbwABp2Pb/TQkPv1rm9GhN3U2p7SWGZ+McanNoZ0qiQl2rsk/L4iqcLzpcYbDlZGMWnORJbuT/NLe9MGHWJsVnBHv+Aff6kzmrnpb2+j6nWXHyzyH5HuL4KW6dACrEw8DcM5m1F1vdLtccexX6lfNAT7kR+DbBlo/fBAAVh2IJUnFw/yS1v+oKxey9TPxlFt9i0jz5Wad5z0AAAgAElEQVSDDvrJorYhqaLQj/s+JH37E6cs8Z8NPTjznUnkelld52SiNPaQjH7Bf/6yZM12Hn3pv35pyx9Eur8ITk2HFWBF/GAME1eiiHKzB1C2Y935FMbfJiGbgpNI4GR0fphSa+SVVX3592/9/Naet+wti+Gij87iYKVvI0i92sGMoQX+MaoNNIqvu3q+kcTawiTGv3s293433K+5gR8Zv4tOMSa/tdcW/OkvL3y8TPiLICh02FSUyuRxbj93Gg9hXjMDR9mqIFvUHH9MqZ3IP5cOoLAqipcv3IRa4b+Hlad8tKk7D/841C/VmqYNPERckBMKRLr4mu1KvtmZwZz1PVlXmOT39kdllnPXmDy/t+spwl9aJhT+IvCMDivA7rAfno95/U3I1opQm4LWx20V7vhoU3c2FSfw1qXrGZRe5ff23bG9JJ5nf83hRz8F+KgVTh48I9cvbXlKOIvviXmfT852VVRjYNn+VJbsS2fJvjSqzIGphBOvs/KfaWu8KgnoL4S/uCcU/iLwHCHAAA4T5i0PYNv/dqgtaUKnDMxb9/aSeMa/M4mrhhTw0Jm7yUrwrbpKS6w6mMLLK7JZvDfdr+3eNGo/3RN9q4l6InanxO5jrvu9G5GUenRDX0NR0R0qfF9HM9mUbC/xPpWpDDidEqrxa7Da7Nh+347RZKGwpJz8wo/ILzzKvh2/cKAyinprcNz7zUs3kBHnW5k8XxH+4h5/+4vAv3R4AXbW7ML0+xU4q3eE2pRm+CuoxB12p8RHm7rz2ZZuTOlTzBWDD3FunyM+TePZnAp+P5jMwrxOLNzTiX3lba9M0xrxOisPn7nbr21WmLSMfWtyK2d9cfyf7+SWxnrQnwe887dTHGz5hcLf3DN2DxdkHw5afy0h/MWVQPiLwL90aAG25c/BsvleZEdo397doQ/AlNrJ2J0S3+d24fvcLmhVToZ1qWB0Zhl9U2rpnlBHRpyRaK0dvdqBWuHEaFNRY1ZRZ1VztE7HnrIY9hyLJfd4hp5A1xqddeEmkgxiK0W4MG3QIZ6ZHJqo55MR/uKK8Jfwp8MKsKNkEeYNN4fajBbRKoNXNQfAYm94I//9YHJQ+/WUaYMOcfmAwlCbITjOpN4lvH3peqQwqWEg/KU5wl8igw67DclZtzfUJpwSnTr4kZfhSt+UGmadvynUZgiOc1aPY3x2xeqQRAe3hPCXPxD+Ejl02BFwuOPvbRWRSnKUhS+vWinqmIYJUwcU8vZl69AEKOjJW4S/NCD8JbIQAhymqMPsARcKojR2vpixKmCRpwLPUUgyj5y1m0fH7wybaecT0SUPDrUJIUf4S+QhBDhMiZQC4YEiTmfj62tWMDKjPNSmdHjSos3MuXwtZ/U4FmpTWkSOGQJ03Hq3wl8ikw67Bhzu2J3efzU3j9zPkM6VfrQmuKREW/jh+mVBeZi4K8AhaECtcHL36XlsvHthWIsvgOXY715fK/xFECqEAIcpNof3I+ChXSr49trlDO4UeQ+VEV0qWH7L4qBkHpJUUehGfRrwfiKRKX2OsO6un3n23K0RsZ5oqfa+TKjwF0GoEAIcpth8GAF3S6gnXmdteKhEkGPedNp+Ft74K13iAp/Qvym9ZPLpAe8rkhjXrZRvZi5n7lUr6ZkUORmUhL8IIhGxBhym+PJA6Z7Q8OBM0Fv59rrf+PN/x7L6UHjuVwTISqhn9kUbmdDjaFD6a5bbubw6KH2GM4kGKzOGFHD98Hx6J9eG2hyvEP4iiESEAIcpdrt3U9BalZPOsX+8ESforXx3/W889tNg3l3Xy1/m+QW92sGtp+3jsQk7g5LJCMK7sEIwSYm2ML7HUc7rW8yF2YfR+rGcXygQ/iKIRIQAhyn1Nu++mqyEepdtImqFkxfP38w5fUp44PuhHKryrb6or6gVTmYOP8DDZ+0Oav3Yjiy+GXFGctKqGZdVysReRxmQVhWW24m8RfiLIBIRAhymlBu1Xl3XOJ3mjnN6H2H9Xcd4ZWU2b6/t5ddi7J7QKcbEtcMPcO2w/KCvW7Un8VUpZDRKBxqlE63Kifr4f6M1NtKizaTHmEmLMZMZZ6RfajX9U2uI0YZ/IJUvCH8RRCJCgMOUcqN3zt5a6TG92sFjE3Zy77g9fLqpG++u70Veqf8rsTQSr7Mype8RLup/mCl9ikNSM/ZU4pss76D22YXI9shc+xQ0IPxFEIkIAQ5Tyuu9fKOP9ywLjkFt55ZR+7hl1D72l0ezMK8zi/LS2Vyc4FPh9nidleEZFYzMqGBsVilju5WG9CFyKvF1lK3CtPw8Ib5hhqRNRdKl4qzZBbJna9PCXwSRiBDgMKXc5OUDxYutIz2T6rhzTB53jskD4Gidjtxjsewpi6WsXkudVUWdRUWdRY3RrkSrdGLQ2IlS24nX2+gaX09WfD3dE+vJjHNdUwsVQnwjDQlNv8fQ5vwDFGoclRsxLZuEbGt9a5DwF0EkEhlfffa0EiDN09MNei31mz455Tm2fW9g3nSXr5YJwhRJFUX0Ze4frkJ8ww9JFY3utI9QZVzW7HPLtkex5j4fIqsEwUA37HXUve485TlRw67BaGpTbeOj5M5L98mwICBGwIJ2x6nEF0CZPFaIbxihiOqBftwCFHEDXI5J6rgQWCQQBAeRCUvQrmhNfBuJmS7W2cIBZdrZGCavcyu+sq0K24H/hMAqgSA4CAEWtBs8FV9BeKDpfS+GMxciaZJcjjnr9mJcMg5n3d4QWCYQBAcxBS1oFzQGXAkiAIUW3fA3UXe/we1he8nPmNf8GdkaecURBIK2IARYEPG0pyQb7R1J3xn96V+hTBrt9rh172wsWx4AWaRaFLR/hAALIhohvpGDMmEYurHzURi6uh50mDFvvA1bwUfBN0wgCBFCgAURS3sQ35aCwWrnRsYOQU9Rd52BbuQcUOpdjsmmw5hWXYqjYn0ILBMIQocIwhJEJL6KbzgI3KkisdtNlLakRDvoOXSjP3Mrvo6y1dQvHiHEV9AhEQIsiDhay3BV93XsKa8Pd/FtyznhjKRJxHDmQjTZj7g9bst/D+OyCcjmkiBbJhCEB2IKWhBReJpeslFkTxaxcBDfjoAipm9Dco2Yvq4HZTuW7X8TGa4EHR4hwIKIwZvczuEouG0Z2cZMl8PyHk6FIjYHw9mrkdSuMxGypRTT6mk4Sn8LgWUCQXghBFgQEYjCCpGDptcdbsXXWbUF08pLcBoPhsAqgSD8EAIsCHs6svhG2ugXQHaaXT6zF87FvO56ZIcxBBYJBOGJCMIShDXtUXwjUVTbgjXvFZz1BQ0/yHYs2/+K6fcrhfgKBCchRsCCsKU9im9HQDYWUr+wP8rEkTjr8pFNRaE2SSAIS4QAC8KSUInviQFSgRyp1s6VWg3GiuiRssOEo3R5qK0QCMIaIcCCsCMU4utODBs/C5QQiq1SAkHHRgiwIKwIF/E9+XigR8MCgaDjIYKwBGFDOIqvQCAQBAohwIKwINwDroRQCwQCfyMEWBBywl18BQKBIBCINWBBSBHiG8YoNKizrkJSJ2A/PB9n/YFQWyQQtCuEAAtChhDf8EXSd0Y/9huUiSMB0OT8HeOioUKEBQI/IqagBSEh0sS3I0UqKxNHEDVpXZP4AkjqOFRd/xxCqwSC9ocQYEHQCSfx7UjC6gmqzCswTFiOpO/icky2HAuBRQJB+0UIsCCohJP4NnIqEa6dK3UQkZbQDnga/ZjPQal3Oeo4thTbwU9DYJdA0H4Ra8CCoBGO4ttIxxDZFlDq0I18H3XXGW4P2/LnYN50JzitQTZMIGjfCAEWBIVwFt+OjKTvcjzYaoTrQdmBZfvjWHOfD75hAkEHQAiwIOAI8Q1PlEmj0Y+dj6RLdzkm22sxr5mBvfj7EFgmEHQMhAALAooQ3/BE1fVK9CM/cLve66zbj2nlRThrdoXAMoGg4yAEWBAwhPiGIxLanCfR5PwdcF33dpSuwLT6cmRLafBNEwg6GEKABQFBiG/4Iami0Y36BFWXS9wet+W/i3nTXeC0BdkygaBjIgRY4HeE+IYfkj4D/bgFKBOGuR6U7Vi2PIh17+zgGyYQdGCEAAv8ihDf8EOZfDr6079G0qW5HJOtFZh+n47j6JIQWCYQdGyEAAv8hhDf8EMRPxjDWb+4D7aq2d0QbFW3LwSWCQQCIcACvyDENzxRZ13lVnztJQsx/34lsq06BFYJBAIQqSgFfkCIb/gim4pdPrPmzcK04gIhvgJBiBECLPAJIb7hjW3/u9hLfgZAttVgXn8Dli0PgOwIsWUCgUBMQQu8RogvWOwKUp65HICrhhbw1iXrQ2xRc2SHEdPyKUi6Tsi2SnCYw95mgaCjIARY4BVCfCML2Xwk1Ca0mevnjearHZkun98yah8v/mlzCCwSCPyLEGBBm2lJfHPzD/PP2e+wZsMmSmon0TelhrtOz6NPci3j3ppMr6RaNt2z0KW9E0dkG+9eSO/k4Ah3qPr1hUi02VtSY8yhNgEAq0NBnUVFokFUgxL4FyHAgjbRkvi+9fki7nn2A+wOJ2AAYNPhRG6YN5oxWWUARKnb37qjWinzn2lrAOgWXx9iazwjUmx+YFwuVw8paPr5heX9+GZnRtD6L6iI4oEfh7Fsfxp2p0RGnJFz+xxhUq8S+iTXtuuXH0FwEAIs8JiWxHfZup3c/ez7OBwyY7LKuGF4PlkJ9eSVxTB3W1eWH0htuF4hh8DqwKKQZC4fUBhqM9pEpNicFm0mLfqPUXCSwRK0vk02JZd9egb7ymOaPiuqNvD++p7M3daVtXctCpotgvaLEGCBR5xqzfeDz+ficMic1eMY3878Del4jv/RXcv485CDTP1kHL/mp1FnCcyfW4VRQ15ZLPvKoymv15KVUM/wLhVkxhsD0p8/qDGr+WVfOoVVBqI0dsZklZGTVs3LK7KpMGm4cUQ+3RPrQm2mC3vLYlh9KJkKo5bMOCOju5aREWdkwa4M6iwqzul9hJRoV6GMtO9ozaHkJvH9aPrvjO9xjIV5nXjmlwE8PH43GbHhabcgshACLGiV1gKuNm5eB8Qwpc+RJvFtRK1wcu+4PQ0CbFW7XD9z7phm04rDX5vick6flFo23OW6dvzljkw+3dSdZfmpOOXmHasVTm4dvY9/nbvV7T350m9hlYGcWee7fO5pRPFzy/oza2U2Jpuy2eeX5hSxtjCJ4ho9F/U77CLAobS53Kjlvu+GsWBX8ylgrcrJg2fs5usdmeSWxvLj9ctIif6jkpIv31EoUUh/zNbIskSC3sqfBx/k0pwidKr2t5QiCA1CgAWnxJNo56z4Qew6GsPXOzKYOewAMdrm1XRGZZZzSU4RvZL8u2a24kAqS/enoVU5yYirp1OMiSiNncIqA7uOxfH66j4MSKtmxgnriKHmnbW9+NevOQB0jjXRK6kWrcrJ4Wo9808Q13Q3AUiSJjFodp5IUY2BCe+czdE6HQAxWhuD0qsA2FMW23Q/ALG65t99JH5HAKdllpMcZaGsXssTiwcxuXcJMVqbEF+BXxECLGgRT7ca3T9uD7/sTWd9URKDXjmPsVllDO1SQe/kWnok1pGTWs3H039328ebF6/nuSlbyH7pAgCW3LyUnonNhVrZwtrxExN3MGNIAUM7V6JROqm3qlAqZHQqBy8u78fTSwYwf2eG24e7L/12iTNR8MiCpp+fXTqA99b3dHvuyXx7fAR59dAC3rh4fbMZg41FiZz/4VkYbSoOV+vp2hggJSnQDnyWj86/h9fqzGSMvy2oNj/w3TCO1umI0dp469L1XJh9uMlum1PBwz8O4f3jbZ04cgTfvqNQolc7eHT8Lh76YSiFVQYe+WkIb4r90gI/IwRY4Ja27PMd3bWMBdcu5/GfB7O5OIFvd3fh291dms7vlljPX8fv5MrBB13aitbaUSudTT/H66web/dIjrKw/Wg8l396BusKk5qmdA1qO1pVQ5snBtH4q1+FJDc7V6+xe3QdQFZCPSsKUiiojGJPWSydYkzEam1IEgzPqODD6WtwOCX6pdUAICkNDTV8My5DA2jUf0zjB8PmbSXxLMzrBMC7l63j/OzmqS3VCifPTN7GJ5u6Y3UoqDJpmh335TsKJWsLk3hpeXbTz59u7saF/Q5zXt9iJs2ZyLrCJAAem7CTx8bvCpWZgginwwqwIn4Iki4d2VwSalPCDm+SbIzrVspvt/5CUY2BlQcaBGZ7STxrDyVRUBHFrfNPw+JQcO2wA36z84EfhjFnnesozmhTYTw+E2pzSC7HQ8lto/fyQ25nVhakcNrr5wIgSaBTOdAqHWSn1nDd8APE66xI+s7ox32LMmF4yOzdUpwAQKcYk4v4NhKttfPmJesxaBwMSG+eXzoSv6PiGj2XfnImdRYV6TFmzDYFVWYNdy8YzryrTawvSgq1ie0GSZeOIn5IqM0IGR1WgJXJY4k6bw/W3c9izXsFnGKTPXgnvnd8M5KDlVG8eMEm+qXUuIx0/7ZoELNX9eUfiwcyc+gBl0Atb5i/M6PpwT5jSAHXDT9Az8RaDBoHRdUGvtvdhaeXDPC9Iz8zKL2KxTcuZfbqviwvSKXKqKbWqsZkU2KyKVlzKJk1h5JRRHXlpgc+Q9IHb9+rO8rqtQDEnbS2ezLTBx1y+SxSv6PXf+9DnaVhqvz7a5ex4XASt80fybF6HRd/dCayDCO6VPDOZeuCujWqXaHQoOlzH5p+jyOpY0NtTcjosAIMIKlj0Q56HnWPm7FseRB78behNimkeJtecndpLBuLElmRn0q/lBqX49MGFjJ7VV/KjVoqTFqXh5ZaKSNJIMvgkD1T5y+3dwXg8gGFvH1p87W5vik17DrWulN706+vfLypO2sOJXPrqH28fvGGps/rLCqqLBqe+7U/H2/qzlsbRnKzG/FVmguCanNjsNX+8mjK6rUkR7UsOGX1WmJ1NjTHp/b98R2FgsZRf/eEOvqk1NInpZavdmSyeG86VeaGKfY7xuwViTi8RNX5IrRDXkIR3SvUpoQcUQ0JUET3Qj9uAYbxS1DEDQy1OSHBl9zO0cfXE1/7vQ+1FtetRo3rwalRZrcjBoUkE6dtmIE4Uutau9ZiV7BgV0aztq2Ohj/dTrEml/M3FiVy//etT9t606+vLN2fxqebu/HKyr7NPo/W2smINTIgp2E6rsbo+ntylK3E/OvpQbV5eEYFURr78WCrodidrqJvd0q8uaY3Q2afx+M/D2763B/fUSiQj8eR5VdEN80AvHrRRvQnZHIb3bUsFKZFNIqYvujP+AH9uAVCfI/ToUfAJ6NMnUjUOZuwHfgAy/a/IVtKW7+oHeBrYYWo4wJ8sDKKcW9P4tZR++idVEulScO3uzKaBPiKwa7TlI1kp9aw5lAyTy4eiHWCgiiNnf0V0awrTGLBrgxqzGqeO28Ld4zeC8DEHkf5Oa8Tc9b1pF9KDeN7HOVQdRQLdnXhg/U9mx7+TqdEhbFh1OIuYKmt/UJDEo0ThchkbXAji03Z1BeASiG7bMtJP57Z6asdmdidElcNLaBLrIlaq5YV9dfy0vwiACafPqjZdbb89zBvuhOctqDanKC38vx5W7hrwQi+3JFJfmUUVw8poH96NfUWFRuKkvhsSxaHqqIA2F8RjcWuQKty+vwdudh8PIDL7MHv2RfO6F7KqoMpOGWJW+afxvXD8/lpT+dm+7Yf/GEod5+eR5TGztDOlX7ruz0iaRLQZD+Cps/9oNC0fkEHIryiH1oie1oJkObp6UqlgqUfPsmZI/p53aVsrcS68yms+94A2fMo10jDH1WNGhNEZKfUkFvqflpxYs+jzLt6JWqF0+3xJfvSufzTcS7JGhpJjTLz8Fm7uWXUPqBh1HXBf8az+lCy2/OjNHbqrc3fL0uf+Kop8tbbfgHOemcSm49PU56KoZ0r+e3WX5p9dtv8kfx3SzdidTZqzO5HqQP7dGXlZ88QG60H2Yll28NY97wUMpsBnl2aw8srsrE53U+axeusPHfe1mbbiXz9jjy1eWRGOUtuXtrqeZ5Sa1Ez5s3JTS8VJ5IZb6SwytD0c//UatbcKdJSukVSoM66Gu3gF5G0KV43s3zDbiZe9xQOh/tnRwscJXdeutedBol2OQJ2OJycdc2TDM7O4oe3H6NLWtsTGEiaBLRDX0Hd63YsW+7HfuSnAFgaWvxVUtB8fGTw4Bm5qJROZq3IZm95DPE6K9kpNVwz/ABTW8k9fHavElbc9gvPL+vPpuIEyuq1pMWYGZlRzvnZxVzU/3Az8VYpZL67/jdeXdmXb3d3Ia80hox4Ezmp1fypbzHRWht//nxsq7a3tV9faZw2fv/ytRyu0fPBxmz2lcej1+vo060TV5x3OrddORmtRo1sr8e89irshxc0ayPYNgM8PnEnlw0s5PXVfdheEk9eaQyJBiu9k2q5OKeI6QMPEa1t/qLqr+8o2MRobSy/9RceXzSYlQUplNZp6Z9aw0Nn7mZgehUjXp/iksVM0Bxl6gR0Q15BET+o9ZNboKyqhqn3zOK39Tv9aFl40S5HwCeiVEj8+fxx/Odfd6JSeb/kbS/+HsuW+3DW7fe6jXBC1PMNPcqEYejHfYek7+xyTDYVYVxxIc6qLSGwTCDwDoWhK5qB/0SddY3XbTidTh769ye89ulPx6ureUVEjIDbfRCWwynz6XcriD/tWt7+32Kv21F1voCoKbvRDn014sPmhfiGHlX6uejH/+pWfJ3V26lfcroQX0HEIKmi0Ob8g6jz9vgkvp8s+I2EUdcz66MffBHfiCFSRsCFgF82RPbMTGfeKw8wtH83r9uQLWVYd/0T677XQY6s3LBCfEOPusct6Ia/AZLrCpC9ZBHm36ch21y3cwkE4YeEuts1aAc9j6TzfsC5eVcB0+57mf2FfkuMVETuvEx/NRYoIkSAp64C6XR/NScBk04fzNxZ9xMfa2j1/JZwVG7CsvleHGUr/WVaQBHiG3o0OU+izfmH22O2fW9i3nxPxL3UCTomysSRaIe+ijJpjNdtVNUYmX7/LH5ZvRX/VguXV5P7ZfgFGJxEZExBy4q3/NocsHj1VlLG3shfXvjU63aUCcMwTFyBftx3KAxZ/jMwAAjxDT2SJgFt/7+5HpCdWLY82LDNSIivIMyR9J3RjfoYw6S1PonvX174lJSxN7LY7+KL3zUjUETGCBj8Og19MgmxUbz79K1MPXe0123IDiO2va9h3fVPZHt4FVIX4hseSLo0oi86woluJzuMmNdcjf3w/NAZJhB4glKPpvc9aPo/jqTyvoDGlz+v4Za/v0NlTb0fjWtGREw/QyQJ8NDLsjCrdiLLrpvz/IEE/XtmMH/2X+jTvZPXzcimIizbH8dW8An4/72uzQjxDS90Iz9A3f16AGRzCaaVF+OoWBdiqwSCU6PqfCHaoa+iiOrudRt5B45w6T0vsGt/UeAejZJUj86ew+avXUuvhSGRI8AAGdMSiWYxMCxQXUgSXHL2aXz6wj0YdN5nbXGUr8Wy5T4c5Wv8aF3bEOIbjkioOk1B0iRjP/IDsrUi1AYJBC2iSBiKbsgrKFPO9LoNo9nK1X+ZzTdL1jWl+QwQm6hjMkXzIsapIkuAG8m+4hxk5ydIpAaqC41ayaM3X8JTd1/hfSOyE9uhz7Bs/Quy+aj/jPMAIb4CgcBbJE0Smpy/o+l1J0jeJx158T/f8sQrX2C2+i9VqCtSBRI3snvuNwHsJCBEpgA30m/6w8jy04A2UF0kxkXzwb9u5+KJI71uQ7bXYdvzEpbd/wfOwJcvE+IrEAi8QqFG0/MONAOeQlLHed3M4tXbuOHxtygqKfejcScj2ZCdr7PnywcC2ElAiWwBBhh+i4H6yk+BSwjg/QzOzuK7Nx8ls5P3xbiddXuxbH8ce+E8P1rWHCG+AoHAG5RpkxrSR8bleN3G0bIqrnjg1QCnj5QB6TfsdRex76eI3jAf+QLcSL/LeyMr5gGDWz3XSyRJ4pKzR/K/l+5Do/E+jbbj6BLMW+7DWb3Dj9YJ8RV4hsWuIOWZywG4amgBb12yvpUrBO0ZRUwftENeRtXpfK/bsNud3PnMe8yZtxRnIBd6ZfLRKi5m2xf+fXiGiMjYB+wJu7/aS+68IeCcgUx1ILqQZZn5v6wjftT1vPbZQq/bUaadTdQ5m9GNeAdJ675STFsR4isQCNqCpI5HO+g5os7d7pP4fvD1UhJGXce7c5cETnwl6pEUN7NnXs/2Ir7QnkbAJ9N3+jMo5EeRA1fxKS0pnrmv3O9j2cMKrDuf9qnsYajE9911vXjoh6Fuj6kUMlEaO31Targ0p4gbRuxvVtDcX5w4mtt490J6J0fGS0ZeaQwvrOjHhqIkSmp19E2p4a7T8+iTXMu4tybTK6mWTfd4/5J3KsQIuIPTVCbwBSSt93Gs67fv48oHXiW/KKABpg7gfXLn3Q60u+TQ7VeAoWHbUgyfIjOFQN2rBKMH9ubr1x+kU0rbyx424qzNxbL5fuwlbXvohnLkeyoBPpmhnSv5ZuZyEvTW1k9uA5EowHPW9eThn4Y2KzbfyJisMn4/mMzg9CpW3O598ZBT4ZQl5u9syGnTLb6e4RkRs2tD4CPK1PHHywR6v1JXVlXDzEfeYOHyzYHLdCADEmtQqS5hx+fB3UISRNq3ADeSPW04MnOR6BGoLpQKiRunTuStJ29GofCx7OHme3HW57d6bqinnc12JUarkldWZvPKqr6c17e4aTRltKkortGztjCJZ5fmYLSpOKf3Eb682r95s0MlwJo+D6Dp/zggY9n2V2z573p03YqCFC766CwcTokxWWXcMDyfrIR68spimLutK8sPNIxIhnSuZPmtvwTwDgQdCcmQiXbgsz5VKgJ4YvYXPPfuN9gdgUyZKh3FqZxK3ueRkWTfBwI2PRtW5M7bCPSkz/RrUcivAd7nUWsBh1Pm3blL+Oz7lcx69FpunjbJq3ZUnS9AlX4O1v1vY93xRItVcb6CBt0AACAASURBVEItvgA6lQOdyoFe0zB1rlU5STQ0jHATsZIRZ+S0zHK6xhu55osxLNrbiaX705jY0/WFtsKoIa8sln3l0ZTXa8lKqGd4lwoy440BvYc29yup0A1/A3WPW5o+0g1/C0fpMpy1ea329+mm7jicEmf1OMa3M39DOv4KPLprGX8ecpCpn4zj1/w06iynds29ZTGsPpRMhVFLZpyR0V3LyIgzsmBXBnWWhpedlGj/b3krrDKwoiCVklodBrWDvik1nJ5Vilbl2exgaZ2Wxfs6UVavpX9qNWO7lXq0NOHL/Xprc41ZzS/70imsMhClsTMmq4yctGpeXpFNhUnDjSPy6Z4YXmlnT0ZSGtBkP4wm+xFQ6rxu57/fr+T2p96jps7kR+tORjailB9m51dvBLCTsKJjCHAjeXM/Aj4he9pbyNyE5P8gtHqjhVv+/i5Pv/kVX85+kFEDe7W9EYUGTe97UGdOw7LjH9gOzAH5j4dFOIhvW7i4fxED06vYXhLPf7d0aybAX+7I5NNN3VmWn4pTbj4ho1Y4uXX0Pv517la37c6cO4Zvdv6RHnz4a1NczumTUsuGu1yn9b3pV1JFoRvzhWvAiqRAEd3bIwHeeiQegCl9jjSJ74n93jtuT4MAW9Vury83arnvu2Es2NU8LbpW5eTBM3bz9Y5Mcktj+fH6ZaRElzYdL6wykDPLNdDG0zXgWouaJxYN4j8be7hkM8qINTLrwk2c2+dI02cnL08M7lTJhf0O88Ly/ljsf7hd7+RaPrnid/qnuo+b9PZ+vbH5RJ5b1p9ZK7Mx2Zonobg0p4i1hUkU1+i5qN/hMBZgCVXmVLSDX0Rh6Op1K1tyC5jx4KvsPnA4kJl1ncACcqUr4Uv/rlGFOR1LgBtwkjvvVgZd8wRW81zgrEB0UlRSzujpf+WskTl88/pfvCp7KOk6oRvxDuqetxwve7gq4sS3kQuyi9leEs/Gw83XyVccSGXp/jS0KicZcfV0ijERpbFTWGVg17E4Xl/dhwFp1cwYUuBXe9rar6RLRz/uO5SJI1zaki3HPC5JmZVQz65jcXy9I4OZww4Qo22eIWhUZjmX5BTRK8n1OyyqMTDhnbM5WtcwkonR2hiUXgXAnrJY/vXrH/s3Y3X+yzxUZdZwxtuTOFjZkIY9LdpMr6Raaixq9pXHUFRjYNpn43h+yhZuH7PXbRtbjySw9UgCAD2T6siKr2ddURJ7y2K46ctRrLhtMUpF8ye8L/fri83vrO3V1HbnWBO9kmrRqpwcrtY3rZ0DpMeY2/aLDBLKxBFoh7yKMtn7Cq5BTB+5Faf+fPI+PhzQXsKUjijADWz75Bgwnp7TJ6CWPyZAlZZ+W7+T5DE3cOPUCbzz1K1etaFMGI5h4grsRd8g6TuhTHKt2hTO4gvQNb6h8smRmubTYE9M3MGMIQUM7VyJRumk3qpCqZDRqRy8uLwfTy8ZwPydGW4F+M2L1/PclC1kv3QBAEtuXkrPxOb3f/JD3Zt+FTHZ6M/80W0ietl0GOOKPyHbPNv5dv+4PfyyN531RUkMeuU8xmaVMbRLBb2Ta+mRWEdOajUfT//d7bUPfDeMo3U6YrQ23rp0PRdmH24aRducCh7+cQjvr+8JgEJqft9d4kwUPLKg6ednlw7gvePntsbDPw7hYGUUnWJMvHnJBs7u9UfRdKNNxWMLB/OfDT148peBTOpdQu/kWmYOO8DUAYf4bEs3Hv+5IeAnI9bI7Is2Mql3w/V7SmM5/c3J7Dgax4qDKYzvfsxv9+uNzY18e3y0ffXQAt64eH2zmYqNRYmc/+FZGG0qDlfrm/6uwwFJ3xltzpOou98EkveTe0/M/oLn53yDzRbQ0pgVOJQz2fu/HwLZSbjTcQW4kf1zfwUy6TP1QRSKf4Ls/UJJCzicTt6du4R5C9f4UPZQQpVxqfv2w1x8AaK1DevEZrsSpyw1PTCToyxsPxrP5Z+ewbrCpKYpP4Pa3rRGt6/c/ZJ9tNaOWvnH1Hy8ztq0Bt0anvarTBqNfty3SNoUlzac1TsxrfgTTuMhj/qEhrXeBdcu5/GfB7O5OIFvd3fh291dmo53S6znr+N3cuXg5sVctpXEszCvoUrXu5et4/zs4mbH1Qonz0zexiebumN1KKgyNS8kopDkZr+bxnX71iiqMfC/rQ21rl+7eCNDO1dQYWze9l8n7GRZfioHKqJZsCuDh87c3RQfEHW8n26J9ay4dTFxJ4xU+6bUMKprOSsLUsg9GtdMgH25X29tbiQroZ4VBSkUVEaxpyyWTjEmYrU2JAmGZ1Tw4fQ1OJwS/dLCJAmTQoOm5+1oBjyNpI71upkff9vEdX99k9KKgN6XFYX0L3bNfSqQnUQKQoAbyfvyJXjyVbJ3vQHcRACSlFTW1DPtvpfpkZHGD28/SnbPLq1f1AqRIL4AB45PBSYarM1GKw/8MIw561xHYkabCuPxZ7XN4f9gfU/6tUtRGMZ/BUq9y3mOY0sxrbrM45HviYzrVspvt/5CUY2BlQcaHvTbS+JZeyiJgooobp1/GhaHgmuHHWi6Zktxw/RtpxiTixg1Eq218+Yl6zFoHAxI908umq3F8U3/P/XTca2ev70k3u3nKQZzM/FtJMnQEDhVaW6+5u3L/fpq822j9/JDbmdWFqRw2uvnAg1V0nQqB1qlg+zUGq4bfoB4XeiXKxvKBL6CIsr7DR4HDpdy6V3/ZmtuACv4ybKMJH1DeukMli0Lz7n7ECAEuBlP2cnlVgZd8xxW838Bb4aqrZJfdJT+F97PlDOGMnfW/UQbfBh0y06k6B7IVe4DlcKF/WUNo9jMuD+ii+fvzGgSwRlDCrhu+AF6JtZi0Dgoqjbw3e4uPL1kgN9t8bRfSZvqVnzthfMwrZsJjrY/R+74ZiQHK6N48YJN9EupcRnp/m3RIGav6ss/Fg9k5tADTdOfZfUN9UbcidiJTB/k+WjcE4prXe//VCgVbcuVcHIgWiO+3K+vNg9Kr2LxjUuZvbovywtSqTKqqbWqMdmUmGxK1hxKZs2hZCRJ5s+DQ1N2VhHbD+2QWajSz/W6DbPVys1/e4f//rASpzOAC70Su3HKl7Hny1xyA9dNJCIE2B3bPjkAjKHvtCkgf4wkuc4/+ogsw0/LN5M0+gb+ettlPHnHVK/aUaacQdTkTQ1lD7c8hGw51vpFQcZoU7FobzoAE06MgN7eEJ15+YBC3r60eSRu35Qadh1rfTpNrZSRpIbfp0P2bKR86n5r2au7CJa434dt3Tsby5b7m0Wlt4XdpbFsLEpkRX4q/VJcp/qmDSxk9qq+lBu1VJi0TSPExuCj/eXRlNVrSY5qeYtRWb2WWJ0NjdL3xEH9UxtsNKjt5D/yHQa1d9na2oov9+urzR9v6s6aQ8ncOmofr1+8oenzOouKKouG537tz8ebuvPm6j5BF2BJk4gm50mfywS+9MF3/G32/zBbAlgmUKISp+MWcr/+MnCdRDbtJxd0INgzbyF7vkxFkh4BOSB1BK02O/94bS5Jo2/gu2UbvWtEUqDOuoaoP+1p2O+nCFh1Rq94aUU2R2r1KCSZK054YFkdDX9+nWJd9xZuLErk/u+Ht9q2QpKJ0zZMBR5xM/Kx2BUs2JVBreWPKc4W+1Vo2ZHwBnfPab6dBQDZgXnjHVg23+u1+AJEH18Tfe33Ps1saqRxPTg1ytwkvtCw9hilsR8PPnKfRcvulHhzTW+GzD6vKfDJVwanVxKns2G0qfjrwsEtRsQeqdXz2MLB3P6N92U7T8SX+/XV5qX70/h0czdeWdm32efRWjsZsUb6HRf4GmsQxy+SCnWPW4g6bw+a3vd4Lb5L1mwnc8LtPPTCJ4EUXxuyPIvd8xLZI8T3VIgRsCfsnvtvht/yekPZQ/mSlifOvKeiuo6Lbn/ep7KHjcnV1d1vwLL1QezF3/vbzGYYbSqqTOomITFalRTXNIigyaakuFbPF1uz+HhTQ/TwzGEHmo36JvY4ys95nZizrif9UmoY3+Moh6qjWLCrCx+s79kklE6n1BRE4y7IKju1hjWHknly8UCsExREaezsr4hmXWESC3ZlUGNW89x5W7hj9N4W+y2s78QPFdfzzoIVWG0NIulwOCmvqkW2G4nKvckvv8/GoKSDlVGMe3sSt47aR++kWipNGr7dldEkwFcMbj61mqC38vx5W7hrwQi+3JFJfmUUVw8poH96NfUWFRuKkvhsSxaHqhrW2vdXRGOxK5oCymrM6mYiZjouHhabslmAkkohN9vSE62189yULdz+zUg+2NCD3aWxTB94iL4pNchAfkU0v+xNZ2FeZyx2BZIEd47Jo2diHSabkvrj/dicCiqMGjRKJ9Fae5M9jXuCTVYVFUYNerUDvdrh0/16a/OAtIZ15PTohqWFr3ZkYndKXDW0gC6xJmqtKn7dl8arqxqE2V1CmUDQUCZwFoo475djjlXUMP2+WcEpE2iOuoSCD6sC2FG7oWOkovQn2Vf0AedcIqLs4S+YN9+HsyYwTteWXNDnZxfzn2lr0Kn+2Npgd0pc8J/xrD7kviJUlMbe9ABvpPSJr1wyGC3Zl87ln45zSajRSGqUmYfP2s0to/Z51G+0QUedsfn6rrt+vaExeUh2Sg25pe6n2Cf2PMq8q1eidrOe+uzSHF5ekY3N6X7yKl5n5bnztrps2zrrnUlsPh7YdCqGdq7kNzcpMJ9b1p8Xl/dreilyx+D0Ku4Zu4dLBxTy2uq+PLl4oMs5l+QU8fH03zn7vYmsL3J9yXzgjFz+MWl708/e3q83NquOb1m7bf5I/rulG7E6GzVm9wlRctKqWXTjry77uP2JIro32oHPosqc5nUbTqeT2596jzlf/orTGcBaBjL5qJ2XsuOrbYHrpP0hRsBtJfeLPGAI2VfOQHa+iSTH+buLxrKHCaOu499/uZo7Z7hmePIEZdokos7ZjHX/W1h3PIlsC95LqV7tIDXaTP/Uaq4cfJBLc4pczlEpZL67/jdeXdmXb3d3Ia80hox4Ezmp1fypbzHRWht//nxsq32d3auEFbf9wvPL+rOpOIGyei1pMWZGZpRzfnYxF/U/3EzMTuz3u7w+5JVFk9kphYF9unLRhBHEROm45K4X/Pr7aMR8fLvTg2fkolI6mbUim73lMcTrrGSn1HDN8ANMHVDY4vWPT9zJZQMLeX11H7aXxJNXGkOiwUrvpFouzili+sBDTVu+/Mmj43dxWU4hL6/MZtXBFI7W6ojT2eifWk12Wg3n9S122cfrD3y5X29tblzKeP/ytRyu0fPB+p7sLY9Br3bQK6mWy3MKuWHkfr+8kLlDUkWj6fsQmn6P+rSc9NH837j72feprQ9g0LFEPbJ0P3vmvhe4TtovYgTsK32nP4PkfBSkgJY9/PLVBxk3vG/rJ7fAH2UPXwc5oBvsIwZJ34WoKTuR1K7vUI6yVZhWXoxsLQ+BZYIOSWOZwEH/RtKled3Mxh35TL9/ligTGAEIAfYHwy9Ixqj/OBhlD7954y+kJbvfa+kJzqotmDffi6N0uR+NiwxipjePxjFvuBndCNcXd3vRl5jWXuPVNiOBwBuUSaMa0kcmjfK6jYqqOq5+5LXAlglsYA2S4zJ2f+0+kbbAY4QA+5NglD1UKrjx8gl+Knt4D876A62fHOGcLLynwpr3CpatD/oU6SwQeIqkz0A76F+os67Gl8dxQ5nA+dgdgfy7lY7iYDp753a8t/cAIQQ4EPSeej1KZoMUHaguogw6XnnsOm6aOtH7RhwmrHtnY931bNhn0vIWj8TXYUZ2mrFsfxzbvjcDb5SgwyMpDah7342m/9+QVN4/Jj7/cSW3PzmH6roAlu2UMaFUPMKuL14LXCcdEyHAAeNJFdm73ghU2cNGemSkMf+NvzCoj/clx2RTMZadT7mUPWwPeDr6rZ2nBjk4SSYEHZnGMoEvoDBked3K3oNHmHbfy2zdczCQZQJl4BtyuRLmhT7vZjtECHCgGXRNaiDLHjZy1sgcvn3zL8RGt73sYSOOivVYttyHo2y1Hy0LHW2Zeq6dK1xBEFiUCcPRDn0FZXLr+alb4o8ygeuRA1sncCs25YXs/1/LIfkCnxFPnWDRf+rZOKUPCVDZQwC1SsldV03h5Uev9aEVGXvhl5i3PohsjGzfEwIsCAckXSe0A/6BuvuNPqWP/Pf73/L3V7/AYgtg+kioQCldx8653wWyE0ED4qkTbPpPfQin9Azg97KHjSTGRvPeP2/lssneR1TK9npse17EkvtcxEYDCwEWhBSFGk3PO3wuE7ho1Tauefg1jlX4p8JVC1hB+j9y5/4jkJ0ImiOeOqFg/HgdR5PfQ5ZmEMB83P16dOHr2Q/5VPZQNhZi2fE3bAUf+9Gy4CAEWBAqVJ0vRDtkFopo15KXnnLgcCkzHniFNdv2+tGyk5CRUbAQiensmlcXuI4E7hBPnVAy4Iqe2J1fEYS0lv996R50Gk3rF7SA49iv/9/encdHVZ97HP/8zkxmkrDIJkjVUiskISCLXNSXbRWrrVj0ipCEiKDWDQGFIBCWigJR6sIuiBuISAMhEbGK0ntvK6i1UFsBWRIQFIsWkVVMSGY7v/tHAJeEJpyZ32Qmed5/ksnz/F4s8zA55zxfKjblYB+Nr01ztb4JSwawiACrSRrebjNxt73OcY1g0GZ4XpTWR4b8N7Drte3mmoj/RN51YkFK/99gWS8B1S8njgCPJ4EHh9zEJIexhwBoO6ZjD0+npiEsw1eES3ma4+k0GU/7YWEtxZu1eDUTZy+jwmfwpmPFEWxrCDsKCs01EbUh7zyxJDUrD4txaF39BvgIaNOyGcumj+Sqyzo5rqH9R/CXPI5/5yywY+fpBJXYFmwf2n+4ytdON4Rl+IqwKDcJF9yB96JHUF7nseEbtuxi4ANzzK6P1IRQLKSkcIi5JuJMyLtPrEnPbIzNElOxhyd1TWvH6mcmcG6bFo5r2N/swLfpAYL73ozgyc6ccjcm8dIluM+9CXQI39ZJ+It/X6dnEvWfq/UvSew+G+usqqlPtRWVmEANKCQmMAbJAI5V6X27oRPy0XQ01cKyLAb2+RkvThuO2+38XrDK2MOR2MeifylJeVuT9Is3cLX4Tqi6til9ox26vGoCkxDhshq3x3vRtLBjAsc88TJPLX3L8PpIPkdZmRQXrDfZRDgjAzjWpWYNQun5gPPnGGqQnOTlyTGDGDbwWudF7MCJ2MOH0AGjj0ucYjW+kKQr1mA1bl/la2V/6oL99ZZqvksIZ5S7EZ7UsWHHBL782jqG5y3im7LyCJ7uB5QqQ9ujKSl61lwTES4ZwPHBIjVjOkrdj8EM5/POaUnBzBwu7x5O7OEh/NvyjMceupr3IOkXq6uNbQsdeJfjb1+JyR19oiFRJPxkMN4uj6MSz3FcZeP2Pdwydg7Fn3wRwbNVEULpZRR3+i1Mkd2qMU4GcDzpcX0rypKKMLrWUnFlz3RWzh1Ni2bOl8SHjnxYudbywLsRPFslV5urSbp8ZbXLDUJfvU35X2+K2qdwUb+5WlyCt/scXC0vc1yj9HgFt46bF531kSp0ncQExg8ZwPEopV9PlGt5/MQe3o9dtici50poN4jEnovAqnqjePDzVyjfMChuN3eJ2KGSzsXb5feRiQl8fhXBoLmfBoHaT1APYFfhOoNNhAEygONZetYIQvoxFEmmWjRrkswzU+9hQO/LnRc5FXv4CDrofNmOp8NIvN1mgqr6HwL/x3PxbRpV79KcRJS5kvB0GBF2TODqtR9y+8T5HDxiMuZT+8CaSsmKaQabCINkAMe96MUevrYgl87tz3dcQ5d/gW/LRAJ7XubMrs8qvF2fwJM6prqq+LdNxbdtsuNzCQEn1kd2n4vV6CeOa+zeu5/+I6ZLTKCoFRnA9UX3fu0ody0HnF+sqoFC0fuKbiyfMTLM2MO/49s4ktChWjwZYXlIuuQl3D/Orvo120/F339L4F/5js8ihKv5xXi7zcZ19i8c1zhe4WfIQ8+S/8Z72Cav8yqK0VZfSgp2mmsiokUGcH2TNuDXoJeArnp7cIQkuN3cd8u1YcceBj5bim9zLrriy2pfodxNSLy8CPc5v6763cFSKt7PJPjlmjDOIBoy5WmJp9NDeNoPDz8mcG4BPr/hmECl7qR4xSqTTUR0yQCurzpm5aL1VMD5A4s1aHFWYxZNG8qNv+xZ84tP41TsYfHvwfad+nWV2JbkK97Eatat6vdUfEn5u30IHfnQcV/RgJ2KCZyCSjjLcZn/ff8jBufOY/8hk8ulVABtz2NH0QMGm4g6IgO4PutxTzJlR5ai6Ysy92fd8afnsmpeLikXtHVcwy7dhW/LRIJ7C7GadqxcsJH842pet5vyd3pjl+4K58iigXK1uYbE7nOwmqY7rvHZvgNk5xiOCay8zvsOwdL/Ztdbx0w2EnVHBnBDEMXYw+UzcvB4nO8KsY/8E9W4fbWfTEKHNlD+3g1o34FwjioaIKtJ6omYwN84rnEqJrDwL2av82o+wWvdyEcFW801EbFABnBD0iG7D67QYgzGHno9bh4alsnEITdFtG5w32oq/jYAHSyLaF1RvylPczxp4/CkjALLeR723JffZPyMfMpNxgRqjmJxL8WFBeaaiFgiA7ghSs3Kw9Lj0ebWWrZp2YyCmSO58hLnsYcnBT5dTMU/7gYtm/VELSmLhHaD8HZ9EuVt7bjMB1t2kW06JhBCwEJKCocC8iB7AyIDuKE6FXtIXwz+Peia1o63nptA27PDiT0sORF7+FYETybqK1frq0jsNhurWRfHNQ4ePUbGiFms+8c2c8/znowJLKUfnxdWDbEW9Z4M4IYuPbs7OvQHk7GHLktxc5+fhx17GPz3G/g25WCX7o7g6UR9oZLPx3vRoyS0G+y4xrcxgWsIhkyuj+Rz0AMoKXrfZBMR22QAi0opmYOxmA80MdWiUZKXGeNuZciAXzkvcir2cBI6IDeHiu/EBKaNA1ei4zpLX3+X4VNf4FipwZhAOI6tx7Kz6GmTTUR8kAEsvitqsYeFs0dxWdcUxzV0xT58WycT+HSh0dhDEcsU7vMzSOw6A5XsfEXqppI9DBxtOiZQ2Sg7X2ICxXfJABZVdRncGn/FCqIQe7hq3liaNQ1jreWRf+LbmEPo4HsRPJuIda4WPSvXR7ZyHhLybUzg3zGbEshm7KQ+7FxiNAhYxB8ZwOL00rMvJRTKNxp7aFncmXEVz04ZEkYVTXBvEb7NY7GPfxaxs4nYo5J+hLfTwyRccFe1qVi1NWluAY8/v4qA6ZjAADeze8XbBpuIOCYDWNQsJWsUFtNAO7/AVoPmTRvx7OQhZF7nPEtCh44TKHkSX8njEDJ6HU9Em+XBc+FQPBflodzOb1N4c92H3DbxaQ4eNnr/gB+tH2FHUZ7JJiL+yQAWtXQi9hB1F2ijsYevL8glPazYw8/xbfmdg9hDEYsqYwLnYDW6wHGNUzGBJUZ/QlIZE3jOgYGsXVthspGoH2QAizPTZfAF+CvyiULs4YpZo2ic7PxDd+jQBnybRhI6tCGCpxPRYjXrRmL3ObjOvsJxjQq/n7sfjFJMYMjux85XSsw1EfWNDGDhTGpmb+AlFM7XDNXAk+BiwpB+TB6e6byItgn86w/4No9FVxjdZiQiRHla4On0cNgxgdNf/COTZhdQYTQmUB0G+25KilYabCLqKRnAIjwds3Kx9VSU2djDxY8N54ZePRzX0MFSAjtmVIk9FDHkVEzgZFRCM8dl/rx+C7dPeJrPvzwUwcNVEUBriQkUYZEBLMJ3MvYwCmstX396POe3bem4hl36Mb4tvyO4tzCCJxPhcrW5pnJ95FnOd4d/dfgYWTmzWPfBtgie7Ic0oNZJTKCIBBnAInI69u+AtgqJg9jD0P7/o2LTKOyvJfGtLllNUvB2nYH7R9c7rhHVmMAE+ya2vvKRuSaiIZEBLCIvrf/NaNcClK4a6hshSYleHh9zC/ff0tt5ER0k8OkifFt+h/YdjNzhRI1UQjM8HcfjSckBy/nVixdXrmXEo4soPW7wpmNFGVg5FBe8YK6JaIhkAAtzUrPyUPZ4UEZjD1fMHsUV/+U8S0L7D+PfNhX/rnmy1tK0CMUE/nPrJ2SNmiUxgSKuyQAWZp2X2YImLEXTG1N/3xRcdlEHVs4bHV7s4bFifJtGEfzyTxE8nDjJ1brXiZhA51coDh49xq3j5rPmnY2mn/Bej9vdl63L5NZ5YYwMYBEdaZk90KwwutbSZXFn/6tY8PDdWFaYsYcbR2KXfRLB0zVcKuk8vF2mkdBuEOG85UyaW8Bjz71KMGTyw6jaj+3KYOcyWS4ujJMBLKIrJes2LP0UJmMPk73MGn8bd2de47yI7ce/+xmJPQyDciXjScsNOyYw/433GDblBb4uPR7B0/2QPo5L57LtlfkGmwjxPTKARV2wSMtcgOYuFEbXWr46fyxdUn7suIYu/ze+bVMIfPoCaLkMWDuVMYHertOxkp3/3n/82T4yc2ayecdnJjeKVq6PLCEbCv3GughRDRnAou5EJfYQruzZKfzYw8P/qFxrefD9CJ6s/nE174G3+xxcrX7muMbxCj+Dxs5l1Z8/QJvNCdxMwHUDu5fvNdlEiNORASzqXnrG1dhqMXCeqRYJbhf33dKbmeNvC6PKydjDMdjH/xWxs9UHKrEt3s6Tw44JfGLhH3lo7nJ8fqOZ9YdxqdvZtuJ1k02EqIkMYBE7UjJGY6lHAHOxh2c14rkpQ8i4NhKxh49BqIGH3pyMCew8FZXQ1HGZNe9u4tbx8zhgOibQUtPYvmKKySZC1JYMYBFbevVKZH+r59FqIJi7Ptzxp+eycu4Y0i4813ENfXwvvq0PEtizJIInix+VMYGzsRo5v7H90y8OMPCB2az/6OMInuwHtNZYag2KLLYXlpprJMSZkQEsYlNl7OGrGF1rCX2vvoT8GSNI9Hgc1wl9tZaKTTnY4rd7UQAACDpJREFURzdH8HSxy2qShrf7LNznON9Cdmp9ZNFfsG3D6yO13UdiAkUskgEsYltK/99gWYuBs0218CS4mXhvPx4eluG8yMnYw01j0L6vIne4GPJtTOCwsJabzVj0Og/OLaDCZ/CmY8UR7NA97FhZZK6JEOGRASziQ2pWHpYehybBVIsWZzVmyWP30afXxY5r6MBR/MWP4d85C+x68lSLcpNwwR14L3oU5W3luMzb67dx64R5ZmMCNSEUCykpHGKuiRCRIQNYxI9TsYe6b+UPkM3omtaO1c9M4Nw2Yay1/GYnvk0PENy3OoIniz5Xm6tPxAR2dlwjqjGBFY36smfxUYONhIgYGcAi/qT37YZOyEfjPIGhBpZS3Bip2MONOdjHTA6fyLMad8B70aO4z890XMO2bYZOeZ4Xit7Gto0uMfkcy5XB9uUbTDYRItJkAIv4lZY9EEILAOfPv9QgOdHDk2MHM2zgtc6L2AH8uxfg3/oQOvB15A5ngHI3xpM6Bk/H8WHFBL706jruf3Qh35QZjgnUahQlK54310QIc2QAi/iXmpWH0uMBo7GHRXNG8/MeqY5raP8h/NvyYjP28GRMYJcnUIltHJeRmEAhak8GsKgfelzfiuNJS4zGHqK4rEt7Vs0fS5tWzRxXCR3ZiG9TDqED70TwbM65Wl6Kt9tsXC2dLyc5fLSUQeOeYs27m0yvj1yPCvWjeOU+k02EiAYZwKJ+SenXE+VaHj+xhyOwyz6N4OlqL6Ixgc+vIhg0+ale7SdEFh+viI3/tQgRATKARf2U3v8ObGsO0NhUi0bJicyecDt3ZfzSeZFQOf6P5+Lf/ig6+E3kDvcfKFcyCR3ux5P+IMrt/Ldn2ZvvMfRhwzGBmnJc1ji2FzxlrokQdUMGsKjHHnaTtn1+NGIPX1uQS+f25zuuocv/jW/LBAJ7XsZk9p77RzfgvfgprOR2jmtITKAQkSEDWNR/nW9uQzBYgMHYQwVc0bMTf3x6LE0bhxN7+AG+jSMJHfpb5A4HuJpffCIm8OeOa0hMoBCRJQNYNBwdb/oV2r0Io7GHbu675dqwYw8Dny3FtzkXXfFlWOdR3lZ40ifhaT8clMtxncqYwAJ8/kBY56nBYSx9B9uLXjPZRIhYIQNYNDzpGWOwVR4GYw9bNG3MwkeH0veano5r6GAZgR3TncUeWgl4LhwWdkzg//z1IwbnPsVXh40+v+wHHqOk8GGTTYSINTKARcMUxdjDVfNySbmgreMadulufFsmENxbWKvXu9pcQ2L3uVhNnS8K+2zfAbJzTMcEorFYQ6A0m11vGQ0CFiIWyQAWDVvnARcStF/BaOyhou/VPSMQe/j2idjDj6r9utUkFW+3WbjbXue4x7cxgYbXR2o+IeS/gV2vbTfXRIjYJgNYCIAO2X1whRYDzuN+auDxJDDp3v48OLSf8yKnYg9Ho30HAFCe5ng6TQ47JnD2ktVMnJVPeYXB67yKo9jWPewoqN3HeSHqMRnAQnxXalYeFuPQ2ljsYZuWzSiYOZIrL+nkuIb2H8a/tfKSqafzFJTHeXLThi27GPjAHLPrIyUmUIgqZAAL8UPpmY2xWRIPsYfhOHj0GBkjDMcEakAhMYFCVEMGsBCnk57dHR36g9HYQ8tiYJ+f8eK04bjdxu4F+x7bthnzxMs8tfQtgiHDMYHKyqS4YL3JJkLEKxnAQtQkJXMwFvMwGXuY5GVG7q3cm/0rUy0AePm1dQzPW8Q3ZeXmmihVhs0Ydqx4xlwTIeKfDGAhasciNWM6St2PwdjD885pScHMHC7v7jz2sDobt+/hlrFzKP7ki4jW/YEQSi+juNNvYUrQZCMh6gMZwEKciR7Xt6IsqQiDay1BcWXPdFbNG0uzps7XWgKUHq/g1nHzorM+0k7qw84lRie8EPWJDGAhnEjPvpRQKD+WYw8nzS3g8edXETAdExjUA9hVuM5gEyHqJRnAQoQjNSMHpaYBSaZaNGuSzHNT7iXzustq9frVaz/k9onzOXjEZLyh9qF5hB1FjxhsIkS9JgNYiLCdiD1E3QXaaOzh6wtyST9N7OHuvfvpP2K6xAQKESdkAAsRKd37taPctRyo3UdVBxSK3ld0Y/mMkadiD49X+Bny0LPkv/EetsnrvIpitNWXkoKd5poI0XDIABYi0qK41hIg75lX8JuNCTxIyHU7Hy9fbbKJEA2NDGAhTOmYlYvWUwFvXR/FGRVA2/PYUfRAXZ9EiPpIBrAQJlWutcwHrid+/r1p4A0sBrK9sLSuDyNEfRUvbwhCxLeO/TugrUIMxh5GhOYTvNaNfFSwta6PIkR9JwNYiGhK638z2lqA4qy6PsoPlGLZI9n+yqK6PogQDYUMYCHqQmpWHpYejza31rKWQsBCSgqHAkaTGYQQ3ycDWIi6cl5mC5qwFE1vov1vsTImcD1ud1+2LjMYBCyEOB0ZwELUtfTs7oRCRSbXWn6f2g92P0qK3o9OPyFEdWQACxEr0jKGoKwZaN3ISH2lytD2aEqKnjVSXwhxRmQACxFbKmMPUSNQuCJTUtkoO59idaesjxQidsgAFiIWdRncGn/FCsKPPZSYQCFilAxgIWKZ49hDtZ8AN7N7xdtmDiaECJcMYCHiQUrWKCymgU6s4ZV+tH6EHUV5UTmXEMIxGcBCxItevRLZ3/olNBlVYw+VjaKINl/dxtq1FXVzQCHEmZABLES8aX9dUxKa3IvWlwKg1AYC3zzDrreO1fHJhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEJU9f+n2RNOayDNJgAAAABJRU5ErkJggg==" width="64"/></p> --- class: center, middle, inverse # The course --- class: center, middle ## SDS 410 .footnote[https://smithcollege-sds.github.io/capstone/index.html] A one-semester capstone course -- for Statistical & Data Sciences majors -- at Smith College -- focused on using data -- in ethical ways -- to collaboratively solve real-world problems. --- ## Instructors .pull-left[  [Ben Baumer](https://www.smith.edu/academics/faculty/ben-baumer) ] .pull-right[  [Miles Ott](https://www.smith.edu/academics/faculty/miles-ott) ] --- ## Content .footnote[http://www.science.smith.edu/designclinic/] .pull-left[ **Ethics (25%)** - What the ethical implications to society of our statistics and data science work? - How can we reason scientifically about data science ethics? ] -- .pull-right[ **Project (75%)** - Sponsored by external "client" - Teams of 3-4 students - [Scrum](https://en.wikipedia.org/wiki/Scrum_&#40;software_development&#41;) workflow - GitHub (collaborative version control) - [USRESP](https://www.causeweb.org/usproc/usresp)-style final paper ] --- class: center, middle, inverse # Projects --- ## HuffPost .pull-left[ - Which are articles have greater "social impact"? - open-ended problem with no solution - definitions, metrics, tests - field trip ] -- .pull-right[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Tfw you present to your client and then hit up <a href="https://twitter.com/momofuku?ref_src=twsrc%5Etfw">@momofuku</a> for lunch. <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> <a href="https://twitter.com/hashtag/smithieslead?src=hash&amp;ref_src=twsrc%5Etfw">#smithieslead</a> <a href="https://t.co/xVhNGdp6PG">pic.twitter.com/xVhNGdp6PG</a></p>&mdash; Ben Baumer (@BaumerBen) <a href="https://twitter.com/BaumerBen/status/993555071916019712?ref_src=twsrc%5Etfw">May 7, 2018</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] --- ## OpenElections .pull-left[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">This fall we had the great fortune of having data science students from <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> spend a semester working on OpenElections.<br><br>These four young women wrote parsers for tricky electronic PDFs, wrote a paper describing their methods &amp; built a site:<a href="https://t.co/5qN8g0Mji4">https://t.co/5qN8g0Mji4</a></p>&mdash; OpenElections (@openelex) <a href="https://twitter.com/openelex/status/1208400228581302273?ref_src=twsrc%5Etfw">December 21, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] -- .pull-right[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Congrats to <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> students Tiffany Xiao <a href="https://twitter.com/_mxwang?ref_src=twsrc%5Etfw">@_mxwang</a> <a href="https://twitter.com/karavan_allen?ref_src=twsrc%5Etfw">@karavan_allen</a> Karen Santamaria on winning 3rd 🏆 in the fall <a href="https://twitter.com/hashtag/USRESP?src=hash&amp;ref_src=twsrc%5Etfw">#USRESP</a> competition!! Project sponsored by <a href="https://twitter.com/openelex?ref_src=twsrc%5Etfw">@openelex</a> <a href="https://twitter.com/derekwillis?ref_src=twsrc%5Etfw">@derekwillis</a> <a href="https://t.co/TOPOODo0Lx">https://t.co/TOPOODo0Lx</a></p>&mdash; Ben Baumer (@BaumerBen) <a href="https://twitter.com/BaumerBen/status/1235363781754138626?ref_src=twsrc%5Etfw">March 5, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] --- background-image: url(gfx/sdss_openelections.png) background-size: contain background-position: center ## More on this later!! .footnote[https://ww2.amstat.org/meetings/sdss/2020/onlineprogram/AbstractDetails.cfm?AbstractID=308077] --- ## *ProPublica* .center[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">So proud of the work that <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> students did in helping to collect data for this <a href="https://twitter.com/propublica?ref_src=twsrc%5Etfw">@propublica</a> story. Thanks for working with us <a href="https://twitter.com/ryanngro?ref_src=twsrc%5Etfw">@ryanngro</a> <a href="https://twitter.com/mpetitchou?ref_src=twsrc%5Etfw">@mpetitchou</a>! Despite Audit, Doctors With Checkered Records Can Still Decide Fate of Green Card Seekers <a href="https://t.co/JJoaHiiozs">https://t.co/JJoaHiiozs</a></p>&mdash; Ben Baumer (@BaumerBen) <a href="https://twitter.com/BaumerBen/status/1224746812424294401?ref_src=twsrc%5Etfw">February 4, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] --- class: center, middle, inverse # Professional development --- ## Ethics .footnote[[SDS Learning goals](https://www.smith.edu/academics/statistics#offices-institutional-research-statistical-data-sciences)] > Assess the ethical implications to society of data-based research, analyses, and technology in an informed manner. -- > Use resources, such as professional guidelines, institutional review boards, and published research, to inform ethical responsibilities. --- ## NAS report .footnote[National Academies of Sciences, Engineering, and Medicine (2018), [Data science for undergraduates: opportunities and options](http://sites.nationalacademies.org/cstb/currentprojects/cstb 175246)] > Ethics is a topic that, given the nature of data science, students should learn and practice **throughout their education**. Academic institutions should ensure that **ethics is woven into the data science curriculum** from the beginning and throughout. -- > The data science community should adopt a **code of ethics**; such a code should be affirmed by members of professional societies, included in professional development programs and curricula, and conveyed through educational programs. The code should be reevaluated often in light of new developments. --- background-image: url(gfx/ethics_arxiv.png) background-position: top background-size: cover .pull-right[.footnote[https://arxiv.org/abs/2001.07649]] --- ## Concepts in data science ethics .pull-left[ Old ethical notions: - *How to Lie with Statistics* - The Belmont Report (human subjects research) - reproducibility and replicability - p-hacking - conflicts of interest ] -- .pull-right[ Newer ethical notions: - **algorithmic bias** - web scraping (ToS) - doxxing - de-identifying personal data - re-identifying personal data ] -- > "These ethical areas are obviously informed by longstanding ethical principles, but are distinct in the way that computers, the Internet, and databases have transformed the way we live." .footnote[Baumer, Garcia, Kim, Kinnaird, Ott (under review), *Integrating data science ethics into an undergraduate major*] --- ## *Weapons of Math Destruction* .pull-left[  ] .pull-right[ Statistical topics: - modeling - validation - optimization - Bayesian statistics - A/B testing - Type I/II errors - sensitivity and specificity - reliability and accuracy - Simpson’s paradox - multicollinearity - confounding - decision trees ] --- background-image: url(https://pbs.twimg.com/media/ESIC2YrX0AAxteU?format=jpg&name=large) background-size: contain ## *Data Feminism* --- ## GitHub .pull-left[  ] -- .pull-right[ Shopping metaphor: - <i class="fas fa-shopping-cart "></i> `git add`: put an item in your shopping cart - <i class="fas fa-credit-card "></i> `git commit`: pay at the register - <i class="fas fa-sign-out-alt "></i> `git push`: leave the store and send updates to collaborators - <i class="fas fa-sync-alt "></i> `git pull`: sync your shopping list with your collaborators (doesn't happen automatically) ] --- ## Scrum  .footnote[https://www.romanpichler.com/blog/product-leadership-in-scrum/] --- ## Professional development .pull-left[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Thank you so much <a href="https://twitter.com/gdequeiroz?ref_src=twsrc%5Etfw">@gdequeiroz</a> for joining our <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> capstone class today to share your experiences, and talk about data science, <a href="https://twitter.com/RLadiesGlobal?ref_src=twsrc%5Etfw">@RLadiesGlobal</a> , applying for jobs, and the importance of negotiating! <a href="https://t.co/aai3NKIvSa">pic.twitter.com/aai3NKIvSa</a></p>&mdash; Miles Ott 🏳️ ⚧️ (@Miles_Ott) <a href="https://twitter.com/Miles_Ott/status/1255211283017801728?ref_src=twsrc%5Etfw">April 28, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] -- .pull-right[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Thanks <a href="https://twitter.com/heatherklus?ref_src=twsrc%5Etfw">@heatherklus</a> for talking career paths, data science roles, interviewing, and twitter with our <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> capstone class today! It was awesome!!! <a href="https://t.co/KVvEr4l9FP">pic.twitter.com/KVvEr4l9FP</a></p>&mdash; Miles Ott 🏳️ ⚧️ (@Miles_Ott) <a href="https://twitter.com/Miles_Ott/status/1253399091029184519?ref_src=twsrc%5Etfw">April 23, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] --- class: center, middle, inverse # What have we learned? --- ## Alumnae engagement .pull-left[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Thanks to <a href="https://twitter.com/smithcollege?ref_src=twsrc%5Etfw">@smithcollege</a> alum Portia Exum for joining our <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> capstone class today! Learn more about Portia here:<a href="https://t.co/U62QTeBfSz">https://t.co/U62QTeBfSz</a></p>&mdash; Miles Ott 🏳️ ⚧️ (@Miles_Ott) <a href="https://twitter.com/Miles_Ott/status/1245793688879616005?ref_src=twsrc%5Etfw">April 2, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] -- .pull-right[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">New blog post about what I learned during my capstone with <a href="https://twitter.com/Miles_Ott?ref_src=twsrc%5Etfw">@Miles_Ott</a> this semester is live! <a href="https://t.co/EuZYzxe6IT">https://t.co/EuZYzxe6IT</a></p>&mdash; Emma Livingston (@livin_emma) <a href="https://twitter.com/livin_emma/status/1264604872319647745?ref_src=twsrc%5Etfw">May 24, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] --- ## Recruitment .footnote[https://smithcollege-sds.github.io/capstone/sponsors.html] .pull-left[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">You should Sponsor a project for a data science capstone class in the fall <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a>. details here: <a href="https://t.co/RYOWzaTqBw">https://t.co/RYOWzaTqBw</a> <a href="https://twitter.com/hashtag/statstwitter?src=hash&amp;ref_src=twsrc%5Etfw">#statstwitter</a></p>&mdash; Julia Claire Lee (@JuJu_FTW) <a href="https://twitter.com/JuJu_FTW/status/1149431386845020160?ref_src=twsrc%5Etfw">July 11, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] .pull-right[ <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Does your organization use data for good? Want to connect with excellent <a href="https://twitter.com/SmithCollegeSDS?ref_src=twsrc%5Etfw">@SmithCollegeSDS</a> majors? Consider becoming a SDS capstone sponsor! My DMs are open!<br><br>More information here: <a href="https://t.co/gXXY6VHchs">https://t.co/gXXY6VHchs</a></p>&mdash; Miles Ott 🏳️ ⚧️ (@Miles_Ott) <a href="https://twitter.com/Miles_Ott/status/1205568686226116608?ref_src=twsrc%5Etfw">December 13, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> ] --- ## Final thoughts .pull-left[ - Most of your prep comes up front or on-the-fly - Need 2-3 irons in the fire for every project - Don't try to run more than 5 projects - Teams of 3-4 students - Don't assume they know how to write a scientific paper in R Markdown! ] -- .pull-right[  ] --- class: center, middle, inverse # THANK YOU!!!