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MMmhDDURa1uVQOyWXcgeuKsuPSRU8O4qm/vyyKQ4AQQgghhNCo41qw4QKyfxotKwhPqa0xjSjjfi7Xxyjl1NHadz3VsvGxr92+9Nf3fP3A5udB5m+4/RtdfUxQXzFHUT3QtcMm/psvP/Hgg9/3kpsXTtZLz3Iaak2l5dtvPhYIFH7hrp9bkVrmBCeOnz397BuGM+kN2w6YTkHrvq1B2+fS27Dylxdd80ngkUMtW6NBo6h0tlT+6tWv1tSXNs2+IZ/17v/ZD86dFZ5RH5nRENLpNqXcwtKmtjYNioEmQMyM58WNqMuyeU1NQSPRaDBkZ6cEO75a7scYzjKGH0IIIYQQQv9zDRTDq9eT4TLaXFNcVVyoDSW0AkoNZnBCQClKTG6YjuhYPjtw22WVVcXZY4dW+9IYO2ZmPhfKacMFMjRwhDF19tLLQiFeXWHFCgubp1x46Y1f0LSs5cD2V574p7Kaxn+458W/v2fDNZ/+CTFiX7z9Y4VhYtv2kcP7AyYDn+3bs45Qm1Cr83CraZDmaZcKlT+4v3Xy1HrCjXfe+D2I/tpyqiUQnUl0t/zmp589eHBLJiuIBgoKwOKmI1TeUaahfB8oEyLmBIoLC0mYd3yxPFdt4lz/peBWT4QQQgghhEZX9ek1FxKT0aaaKHcsTTzuG5xaed8L2JL6Kis5o3lfgOXyojiVktgqe3Tvioqxy5ddeeuvf3jz5PqwI1RmuC/ZtzdaMvPWv71rxoxzHbtAUKJ8YZpvDQ51v/76Hzas2VTbMCMcDx9pb12zZiOQxLhm+/Xn/9Dd7ZkhJpnq6RtKH1sZrDu35cDukqrKQKjsQMv2lJcsKa7Rkh5s2dpYF9A6KFXe0DSgpHLaMgm/oT6klbZo3uMcisc2zfnEextek+n3YiqrOQhlBCnwkqLe/sFjtxfHVyUK3krjpGP4IYQQQggh9D/IwSa9cy4EbaOhrNCk3JCcMsM188rWsepzjEChnz4k+jtY1gXDE56ShAMoJcRwT+fAsW1FFVPD8QlatROtHdPo62gJFs2YM//qd9e9tmH9a3v37urrS/heprGeBx3uicMbthxIZETQomOqaUmBaRk6m+uMh0gswk1Qmmd++dNvDCdDvX3pc8+ZoGT/qhUPNxeF86kuoZPRkor0YNgiUlLI8nhYpyLcnFYTYtzVHHyjsrL5vKqpNwLAzPOqH/jnO85qsoUARijYhPqqOFLYm+gbPCeiiS58M4NTj+GHEEIIIYTQ/wgtk/SeaRCyeU1hKeUCaI4xkafEiS5umn2hCjV4yohSKMwdbV35Y+32Ua61NoXM2pwpnW7d+cr0c6cuPP+2N5788rg6x83lN2148sc//3Xb0X7bEiUlvLKQjykHrS1QkM5pi6lYgJbGg672HAbSZ3mP2o6yLAXKoFLbhm/E0oWR7JgayCa3fuqm5Ym0t2wabz+0L59PXXPLV599oD2ROVjVMG7ykq8ea1+zZ+1zhWYm45FYfMLEOR8PljVv2bh67Ni5saLgph2H549rVALMIPWkZKCJQUN2kNHc4JKIW8jLn04QjZcAhh9CCCGEEEIfarsn6z1TdHEkUBSl3E5p7ShqJgWpab6oYsKtQ+nBB77/2Xxu+LJrPjFu1lIRnxAYWu37wpecMKJ8BjLb27FdpNtnzp/30uMFKc+jzBe5I2Oq/CkNTAsJ2vKUCwDZHBHSNDghXDHpC+WFbEokcADKtQYI2EqpvABNFDUUUZJQSU1bzp8KklITfICjLz1810U3/uNVd/ycUY8Q6cnwurcPbFy76+qlTbVN59fNuN4Jlb/8+E+ee+Wp+x5au3vHCmZ5jAvbtKTIE2Jzrl3PJcygTNomTU+CTodW/X4I2w/DDyGEEEIIoQ9v9U1SLZOhMGIURA3NOKMElCd0tHHaR2PVyzq7t333ri9PrbYvObuis+XRomInXD5r354VDTHJNFUM8llCuBGg2bUv/uLl1dv6+3rGVhcYYLlCl4aZ8qRPiadyihpSabC0EML3iW2E4kWBoOVYATtoc0okED+Tk6nUsC8SGiRVLEAkYWAaVPiKSe1YjiamKZOG23rf/749VjapecJcL9uzetUbR44cuOL8SbPOvrpwzOWSWffcfee729/+1MevIoSsf+u1sTURA0zla24aoEPay4JSJg8pLQjJCEWzDVb/okDxGnzEH4YfQgghhBBCH0bHyvXuKTpkm/GoLZXBOPHyIcvM+L7LrELFSceRfXMmFZw3pSxEZbyO9e17afIFdz/VaTYWKPA9qaVmBhDTzyZ9sa+hPLtwSoRpz/c44Trne0IaitqCBYqKKisrGmIF9TWNU+PFY6UwOefEoErbSkkCvgYghCrlGdwc6N6eGRjs7dja272nd+CwIjlClCukY6WZskTOqy0VWbX+zRdX5nOkrCi6/GML55z3LSNe1Z9qc4zSiy67fuKEwuYJ52qld+/Yef7cAgZUgqSEcCWYoXzf9/28yCsC2iJEUj2wOAyaFK/F834YfgghhBBCCH249BXptUuUY9LSAgaSMZ6jKkKMBIGww/WOdb+aed5d0xdck+nvdPVRLjQFKAplcsMHqRPrGuqOxAzwfA0u0TpgODntj6kyhfTdHAhGs9oxQ0WTZsyoaz6nuHYJkYRwS0lNOSGE+MrTjEmhfDdjWwZwGzRIpTg3lVDBwhmxIlI97hwgJqhUNjGw/72nOo5s7u477BBiMMWBhjSd1RyhQFylu7qHdr239UjnM7/73X2XLl7ysTv/qWnSDCoDyeGeTGqwqqhCy6wOBl1fBgLeoG8QXqwgS5hmEFJSUqUpzfUvDoHWxetw3Q/DDyGEEEIIoQ+LdECvXCptg8VDFlBNtaaKUfAJcKH8ACXFTmrXO/dNv/ybZ1/1lVfvu2NKfdAwWCadiQqgUviM+0oxIIYhU2mPg82o9nya9R0rBBWVTRNm3hQrm0spUaDykgUMIpXiBvN93zAMyzZdN2uaBuMWIQZoJbQP1FAaCM2D1pQFtaBSS00NGquftvjL0xZmh1L9HTuePrTr5Ww2wRgV2uOaBrgTUsldb/9oZ8vQx5eUFxZ0PPyrO+ZfdHPT+Iu2bVxVVGASIZnDki4Lmo7wcyQyrqx4/Kb1jxfEPD/rS60JZ0IAgOxbHAoc8YKdAi8PDD+EEEIIIYRGPUX0imWSUh2PKpNyrj0g2ufEJIoIYtq+JwNcU647W197ZMpFn11yw5c2Pv/ricW5WKRaBeOH97XOr3UMEhDAlA+BgJXOQ8bjgWjxlHEXljctDdlFVHPC6ebtm1a9+FZyaDCXTxPCNWjCPCpMrZRmXFBKdZ4oTjQDUJJIIIQAk+AzSqgygEjNiPDAsoyK8sjchWfPO/uTUxbd2bH7tQN7nx84ts9S1GZEATQUBxvODnIChikaK1iQJxRlm9esmFQZM+2slJEw9z0aIsXTaqZcp8GOdKcGWx8vMRxPWx47QoWjlKvAbLs60nTfEM/hnV4w/BBCCCGEEBrl3p4rXQuKo4QRg1HqaVBgNI+/mhGv5/CetH80YueZphHGReqd7ZsKZ8z/6NhZ17UeXDt32mXvbtkaiuWdQK3wk4QQzkL9qZQRCc9ZcHFV07XAAYijlSAEnnz08Ucfe8rNuYRpQQzQWmkFXBNBufYoZXkhGeeaaK2Bas00ACECCCNaS8apBqqUAqE1JWTvfv766q03X3/NdbfcXDX+4qrxy/vbN7639bnurl1Fls75SZNaphEUec2MeFXVjLzrtRw8NPeKCteVlmkQEyKVk4vHXwdgvb36qbOWXPpWf1vH0OYIDDNlEwo5k4lcjtlO25WRhkfxAQ8YfgghhBBCCI1mh2tkW42OOoRTrUH5wuVmoH7cWbWzb7Yte8y8fO/hd9oPvO5njrp5PxbS6c613UdqShrn1TbP87O9z//xF9ctqiE6R8FOeDnByPg5F9dPvgXMENC8ljZhAEAPtuxZ9ebapsayBQsbwHA69ycdC5omVpXVh5kOEeL7+VQoHhQpxohgzJdEeECZZMTTZoz396SCQaOzLb9751FPiobGKk8e2bLVW/PmuskzZo2f1CykWVC/+Oy6ce2t7xxY+6h0LTCllNLkhuK9z//uew0TrjfstKXMsKVdUGV11zq1C9JCfu8L14hsb02xM/+iv33ukbvCZhtTIpVP5Ql1aEDkstma4NHzAlVv4GE/DD+EEEIIIYRGp3RAr58nAyZxTKqJxxllQIRUvk9sy+5sPyBpprrxnNKGJUN9+92BnR0H3zSJPLTxmXmXVfcPkO985ZMXzAyGQ5Zwc4NuxipsnDb35lDx1LzIO1Rq7RAKQuQ4d4719JoB44LLpo8fX/jbX2053NnNGM0rd9rcmbbhEeILYTCVEzGLUAKaMzBBUkV9oV0qjOKiYEZazz578EDrUUpp/0Duk1+aFCkafvt1P9FzFCbWG4xrIJTG68ZcUFMyfdfW37UfeDdqKc0zIFlRWG5/594ptbGwldRe2KqeGWlcPJhw7/rCjXUF/kcuGNNz6OWiumnnXPjZx356x9Qmrallaer6HuOuK+TgrHDkkB855OMFg+GHEEIIIYTQKKOIXrXIJ0SHHUUYJdTwPBpzqAfZIwc31o/fXFkx8bN/c0VTbWzK5HMXXfwJVtpcOu58d+Dgsfbdrz37wFPPv3nBvJrxtYUp2ZeTztipF5RPvlzRoNCuwZkQwBgAAUIUAKRSKdfNu17+WHtPd9fg9EljFET27dvRtrutcVwxMRgBB4jBfEJ5XjNPaipZkBFtgK+J4Umxt6XzQFtn45QJ0s917G8/1p4RUqfSKTebJUC1ZJQCIabyMzRSPXXJN8urX2rZ9MdMjkaDlsynJtY7jERAKTcYb5x0+ZH9u39w95dmj4tcMHeC5yWSPJsaaI+Xz+xPKc1Nw7O49pSTyqYVAUFBtF8cGv/LIYbph+GHEEIIIYTQ6HKkSiUiEAloQgG01IJzbroeY4zaPPfW6p8sWnbXt7/74xXP/ChcoHJu/ytPvcz1UFV1/Zsr10d47xc+OjlqsIzvVdRdEqlbZgXioBnVxASmQWkKQkoCClhQSzl/wbxt23c88tu11VWFg8n+Fa/3BKKh+oZI6dhq4KYGQZgxkEu2t6VTnpFwORAoDeSayq2CWFhAFrRRW1NUEFGb121MpJOxcOCxR7e2H0tMGNs8btYcQgkQVymmPE2ZrbSmRBaPWba4ZnHX4XXtLS+BdBkBRrQgJjiVybT+/a++87FLKmtiRVT2SR4qql4SK5905NDW/uEhKSot7eV0RroBoK4WOusmWKDg2OJANW74xPBDCCGEEEJoFMmbet1cYTIgDChIi4JPlDZcT7IAC1DIliR7t7/+g3Nv+tkNn7oPqLz7m3fo9KHrFtX5PdvmNfolsfICiw6kUyWz7wiWLDAooZRq7REgAERJkk4kMumhwoK4awTziY6+wz3jxzTu3rtv/aY9zU1l8xbUzJ0+ZuqMOs/vMYzo0X7v9yu7Nw+XuyVzK0y/1CJ56uzpyAa27qlknV8+P1RY4BYGQ//w7ev27mlds27f5m3H1r6zp6G6smlsZW/nYSp0pDAKRCT6h8IxOxyJS8GBaI/x0qYLKpuWHtv19P7tTzpBFs1La3jrUEf55//poZY1vzZDWRpdWFkyySxoPrBv093f/Lsrzq2ilLJgkJOifM9hG0he5UHksl5azwyVbMpbSYUXD4YfQgghhBBCo8OG6QIAHMOztFYqkoScZQfikXrbNNLJAU+6LtfU7T38zu8aZt+5c8v67vaWj108hhOPMKs8FmNGpjupi+svipSfRQilBJRWrivb29tWv/ra5m3bD3ccJcCU8jjQLCFB0zQ4Mzm59Jxxd375cosMcdNwVZ5ofmhf4sHVvLVskVtkBHUu2ro639+pAcrrzusNNXWbk//lxbc+Os2dNYNolR4/uWJMY+mNt4tf/3DlW5sOPfyHp4V8RintS6FBMwIAUFFZt2DOlIsvvbS8vFJrpSipmHyxtouPbPlp3owSkG7bZt2wZMq5n3c4z/oeZ/7WDc/96AffvXJhSa2o6RQAACAASURBVE1JQWnT3JqJN/Uc2//Yr79SXZJRwIBbIjdgMaf16tD43ybxDp8YfgghhBBCCI0CPYWqrUrZhjBM4Jr7LF1UNue8y+5ywnVAmPAGDu59o23Hk9rPHD6wuXrqVeNmnTV9+liDCqWAM8ZZdjjBwzXziyaew7VQlOVzOcLZnl37/+2+Bzq7O8JhfsE5MwNmcNjzQlRKqhyDR+LO5BnVU8ZHlOpgLJAWLgWdcr3frLPPPmdR4J1317290h0+TEhPPBDwuNPdullHJsxeMH/aOZe+/vbaWOBYcW1pwBowTOoq6/ZPn7fkojnH2vu7uxLJlCcloZQSYEqoPfv3rHh15eYNW267/eY5888xOQMtSusXEpVs3fKsZaQNa2jdH78XLZkaq6jt7Rlcs/qlI53vXXfplPra6Q2zPmJHxwF4ZfXTQ+EGqVoMKnN5y1dZlR6IFxUPjTML9nh4CWH4IYQQQgghNNK9M90nRDtceooQRsAqPPfKrymjcv3aPwbs6NQ5SxonX1deP3P9cz+U3uE9Gx4Zu/iz2VQg0Tdkl1lUyaGUG6+eWzv3Nl8S0FL6adsxd76768EH/k0S9/qbFl18+QyDZIgUksUsNUxBejoCSkuWI0QKHXBlKECSeSkefDo9bf4VTRXWnCsXv/PIPwiPdpXEc/mc0iI15LGed278/jcSWTJxwZInVj/46dqUVqCo7Sifh8PTJ+uJE0NaG4waSktCFIAGULnk4lWrdr6+cvfvHnrCYvbss+b6ghqGWdx8KSO5th2vRWm+qdw7NrBt7c6VaXdgTn3p1csujjQtK6mYaxl8y7pn73/o3r+/+2dX3fy1+398y5gKySmXjOeEZ+UzHec68b0eLvph+CGEEEIIITSi9RSo4ah2mOSECAo+VbOnXkto9Tc+d3Uy0VYcNl9/pnTZ8publ1y54OIvvXDfl01j8/MPfHFvy7uLLmv0dQC8HI9Prph2hRDMNKiQjILc8PbGF5583gnQa66cN3NOtfbT3DApTXFpU4ML3zPooGbcd1MZIQK243lpzbJvvZvYG7lwop31pWMFrOXTmoIf+dQrL7wdhMM87MRKp1kdqwpDBeAAa+1tL1q+av0fzl/SQBXjogdMH7TFNaGUA0gFEkBTQrVmkVDqkssbo0XRN17Z88cnnyBMTp+9kBBlEl3SfG02Q2Xn6zbnVaWivCwm+aTy2nHRhouFtpgCTeRv/+1fJ9ewPRsfXnr53WMnn9d1+NXCcJZIQ0kvk0840cBQs1mwFxf9/l0UhwAhhBBCCKG/urdn+ADa4FoqkJIHQxXjpn9094ZXe7oOLp8dXziFTmxIbHr7/sMbHwmE6534xGw6wfKtlywpcRwlpZ/nJRMX3casCsPwpXSBwN4de199aZVhso9cMm/W7DIqhk1qUcU0CRHqvbV+e1YKHzSViZATdHgEXM+kkPbJ6j2xQcnX7u7f0ZNqS7vJUOmEQrj2lsscmYzk0nPnTS2047uHxZqWvq3t2V7trD5SRkFY/iCxLC0HCSSBpJVKap2mxKUEtAatGWGQS2eWLCq/+sapwZD98ktvtOzapJXSWmlJaqZe5BlRXwmbswDQ+rmfjIz9yFBy+L57PvfJ2y5Kuv6df/fpIJNieHfbvlcvvvmu4XyBIpJqMIAK6Xm+336uowleRxh+CCGEEEIIjVQ9BXI4og2iDK41BQp05pIbnHj8tVXPTp5UQLggoHSeVsaNzpZXKaXlzdP2tSdqSkJlsZDvaynVmPlXUqOSESK1R6gx0NP98muvc+4uOX/8nLNKHSZt02Ys4at+IB5h6uWn33KAZ0VeUS20T7nUhvahB5jcmbBNUEO0YH+Xt73TNaJ16//tJ4ce/m53z5EjHXuPPPLPvKC4pSOzP0ePKq5df5cslS7VPONByNcRTztAAow5hDIF0hNpBXlN8q5vB+wI0dlxTdayiyYyCq+9sPrIwQMAhDLJwArXzZWgLGZroK0tr2jJX3j8odaDO68+P9637YXJ069I8lI/nW3Z9rxyh6PRip4+SbVmoJS0htPDMkAHmw28ljD8EEIIIYQQGqHWT/MJaIuD6xNBSMhmStUJob/+j/ddf8tnzUitS2IKiEMlDQBlbnf30WTOJzpLWSarjOL6+bGyWSCV8iUjjtRq0/p1iVTP8uX18xYUMZIQgknP1NowzbCCgMinx8TNF+55KGJajFnp7LDvJ1KuS6nTd+ioG68LBoJFARbiun33+u533+wZTKcHBqbWVkyrL+3u79u3bfOxXZsLGC3mfrHB7Hhly7YOwnwqugjlUmZ9mXH9pBQZon1GqVJaSqKBMZMAmAaQaVNCixbXC5l/5JHft+zcpXUeOC+tXZD2w8PZDLdIZGhHsmf/lbd/ZUJNfV0w03fojUR/5423/X1rZ95LdXz/q9dv27zFMgwAKUEpqnL5nOv77ec4eC1h+CGEEEIIITQS5Uw9HNWEakoUEKoIeLncEw9+/p67rjq2/3Dj+Bsuu+3+qQs+ycIlLtVVkz5GiPPyS8/VVDpM2NqPGeExDfNuJmBLToACCHp43+71G7csXtg8e04FB2GwgFASTEUZ8URa+MMb3j08ramGdiXefmmL5wrHEJylLSOfl34244cNuzbEl5Ta9Nhqv3VThKZB65IIHOtLtvVkTdMw3aTufgdaXppTVVAX02Ee6UokPU+ZfIArn1GPU9/gklJBqaBEcKI5A86H835OguZGIGAHz1pQOPfsyt7B9EvPvLRj12FPUcaKSuumCJNLlyiW69z7os67kxcu331UUD68e/O9v/7V97fuG9CeO3difulZVlGR4SkJFDQRlEF/YkgGaKqC4RWF4YcQQgghhNCIc7hSAgBn3CeUgQxSW1jOuAJSEj7wi3tvuvfHn8qmvYbJVy3/2G8qZt0ydvKFzz9xL5MDY0sKfSD9xG+efyUhIUII6LwCnXHl0398Pp1Lr9969LkVRwwj7MmEZQZdkQMvQaj31ivvtu5rHXfh5P5IeVFRUAEV2gPfszRYYihYakezPWUREQmSMdHo9KnTRKgowyQPWNwjFjAK2ikYM3HK9KaieFmRU0GplU+Xleo0KE+WEJYA4qS9IQ1MZl3X10N5QrQj5YCv0gw0y9tSSan8TWu7169pCdqktbPjicceHxrqp4YRab44x0oM7lmK2/mOdOfrs865sT1ZoFxN+3ca7p4bllWbXAipTWJQnzFOFEgKxCfEd/NCStztieGHEEIIIYTQSLR1vE9Bg/Y519IgxfXTrvvMH6sXfiwUb55S7jjJLT/5h8uf+cO/KBWaOvM6IvWzzzyyaHYFYb6kudr6s8IFUzUoAJ+xAGX6zRVP7Nq9Xyp98MC+t17dvn9vjxJGWuSV66XA3H+wF46uK84dffHRLRVLJ1ZNK6LkGJGCmHZSZgU3qouLaKKNKzvKeX8OTGJNnD+Hp+XAsG8Xc2Vnh4WaOGuaFbSGqOA6o0IB3tM6aWwoCNmcHPQlGKI7woKezOcs9tQvVj68+Ifb393OWMimsRwI4uQ48/a0eU889W7LoaHhpMuY3Xro4MoXnyOUOE5pVd25vWnuUaa0PnZoo5awePlNOw+nczmxsLmUM86JoTXXmvi+TwmhjGlNqAagMJjK9k63JD644IPgqCCEEEIIIfRXMxhRngkGAyAgJVWCROOldrBh3uLP03M+0XF4x4FtK4PHNqS6/vizv39ryXl37N2/NRZIlUaKKJM56TROvoYQDuADGEp7QMyNG3Z7wsukso21Yw+2Hlq5as/ffGouUZkXnnvb97tVr7s0lH7+cGbeWemuDOeUa+oorhKprGWDpdMJbdaGkjsT8r2eY3Asc3GjccmNnyaZ3OPPvDp/XGXcCMmi+JUf/+T61199p11uVsmkwatiR20HKAAhGjxfEZIg/REVdhySF1YGZCgcyOVSxAiHOfNEPut6u9/uHEhmakqLjvb1MOCEGGvXbbnuppsIMYvHzOnvXM9EW0BzAu2vPPTFJ17aMH+qYzgR3/NMnnNdT/nCMhgBnRcKJDDNBfhC0ZybAQilqnnssMBLC8MPIYQQQgihkWJPnQ8AQmluMCJIyFJr33j+2adX1YyZdcPHP1daPbuifp7vZtpbVh1peW3nhh/ubHUXTi+2KctmVfWkJTxS7fo5k9vKk0Bzmhpt7V2RmDFlesXwsQwz7W07O4ScYcqBSGHxOH/H5h3p/crw8jow0BZI6MHO8nhZwDIzzCEuaKDSdA9eNC/+g+173fCYaEpJMBxuXn3nVza/19ree0DkvGs+e6sURGinJy09302lxMVjDgCUDuQyhRYTpp/V5XHtZOCYyseu+9ysS3e3fqKSOzbNe70AMYOajJrbN7YIixHmVjcWzptZt/KNI4cOtmlFGCcAZknzxQMbHnBABwxSFxq484pyzqRWKqeFkhS4TQzh+p4PiprMywoNwIn2KJVC5D2/a6aJ4ffncKsnQgghhBBCf73wa5CEaMYpSMkNz1MiHoGGmgx113//mzf8y9dvXfPCo5bBm6ZfvvymXzbN+9yEMXbEchTkwSxsnHGV5wml85RSwoDxqAZdW1N68GBnKGh2dvQmhxN79h9ypSRmyO8dIJ3dvuftzpDimDuwr6Y0NbjmxRbbSvueIhos3025ktOi5ibZ5K0ymJ+yCzev3/X8K2/d+8jKwupJmllZ5uzsHHzssed2tRwe0CynQ83pJxfPi2azieKQdrXe/Vbi3s881tqVWvFyn+8ZFkv61fzB3+/QOhGwbKXMpJsL2XTH4d7MQLqvd3haTc2BPR0tLS3lpSWE8lwmI5SKlk5ShQ0pa9iT2tJ2yOBcmUT5DmUMhAHKZMC05IQQqZlUJhFCE5NR3yeJVC5VY+Buzz+HQzIqLf2bN3AQEEIIIYRGu5SjAEBToJpwSlxJo8XVcxdeyZjzyIP3jB/r2eTI7o0Pv/rKg9X106+49taXn3+8KsQYlXkpGyfNkxBmnJo0DtqnhGmtGejLr7zy3R3vPfTASuWL4rLKTDY7PJAmMRjesAuKHFPalQX5mpi7c1cmYhbkBGs/4meCqjAQiBKtfX8gZ0nI3rCIf/fFZ9JlF21igc5siVEcKSmd5numTYzOysW7k6LP7nbKKpyBdZ9Z/h4jDZadUSqc1fKdlQenrRu6/+dvfvTWhQ/+ZNs5V9cV286rnUemri6LJo+8++O1RbfOvvLG83oS6arCwL7DnXta27kynAC/9ZZbNehAyPaFJkwUNy89smkf8/LcgazP7IIJJNdr5ge9vJlOe1J4HjGUIr4g3JJS+cpnoDRjOpV3SwBSVTx2BBf9MPwQQgghhBAaAdrLJAAAEEo0ISRSUHvdnfe4omz/lrf7jnpTpy644IYvBwJjvYFtT/zm27/50ceH+9ns+mJmipwbrWw+l1sBSoj0JDE0ECJl2uDOpBnT73/wly//8cV5S6b85jfPdvcfFbm0WRTOJXP9iZBwodGQds6pKlRP73SmH+nbviVJAqrbDFLTygitc4O+S1Kuv4iot8b3ycV3DOYzUZ06whw5/kKbsq6EnwEzUxCuPvb8ly7fXFJUQNUQ59CVdwsMcf1dEzbPLu/b2fPpx9+eFDTa7tvJokTW6a//8yv3fHFZV05UUlOInJJiQmPtJ+/83suvrQpZoWWXLiktq/B9qajBGVGKhmOlgWAdla3p/ICvnSkzbrBjVYwCoYafT0tI51I9icE+L5fI546+/MpLIdYNvuKMJlwBAMN1DMMPww8hhBBCCKER4XC51FozzbX284qev/hK4PW/+KfPbtn0VtP42GXX3U2d4qF0jxmeseyj3/ndzz9z6YIgM12poKp2qhFscKUkvmuaAUIMrZVhhD03azCzrKTq5jtvZ8wwzOdsbgqRMgkvnDa2Y0Vrt+/W0lBWAdfEol7dsUEPTMYUkdIlRlj7A5TbXBW6LGYSb/neELnnpaGFQ+VzDE05aCVBcCPcsf7CkvW3fTxjgGVyz/ckUKfcFD74EVa67BJ29kWV3/r59pV+rrDE73mjP24XQ5w7JeztidF/umkC4SnKOGFWbePYTzXVeVJYPARaGQb1vbRlGaAMSgsLK+d1DR0KcA4+Obj12axdX1g5q7GhypeUski8uDwUUZwyqXMvPv1uzugJgPZ90BT6Emna7NS96eIFhuGHEEIIIYTQX5kiuqtYARACniHNrOHVzbxq3ZtPbt606sKz7Nln32CE4/f/9DsvvPzkV75wx5wln0rmHMo1VzQpzOmTz6dMOczWHAgQrRQhWmlFuE0oIRpMyghVMud5AOFQ1NPujOtn3L9/OEDUO4x29g8M9qWHreCRSiPaL4KuCSACElwGAWkznaZa+5RZmt28PHm9XLV+y8aNnUaGlUeFKAt3XnGTH3JyNpMa2KAXjZk50ANpEec0BKwvL4lN4F8+3XDZnVsOChWcGs5uSX7+2lm93al0Ne/v8yPFwYhlaeX74BrStg0HAIAwAmDZEQBgJkipiusn7t9nxDyeAbe3/Y3t+7LFZVWNX/jtT777xV0HNjJqjG+a+oW7/rcTKK0YM2bftl2syJdS28rMZD1ZFvQdYuQ0XmYYfgghhBBCCP01DYc0ACjQlHEhZEEoYEGwddfOqkozGCybsPiG5HDy1ZefuvjsINd5wu1ElnqaMyoDTlEoWk4pBwCpKSMEKAEA0EBB+740DAYElCbDqUQ0HC4scSjISJTNmV9xYFeXSS1qhYiR7q8I3j/Xru0S43enJrbxLAvsKo00Hx4Y47FhBkIa+zd5zw0FaTQYceCGAjtleYYPxw4Zz20d7E35M5eKJUvjcdMFIOmcDgRyFNJKWSZAZ5t+8cm2n9591sNP7D+WNefNDRtSDSSHc2OCv31x85duX1QYD3b39Zgs4GswP2hwtFbAY5HYmPTRraYZDdtkwbRY0nU9d2DG/HFGbOiSS2+pbVzGaO5fvv2pVWvfOHsGV5JSoqWWqZwEgHQpjR+ReJlh+CGEEEIIIfTXNBhRAEAJyeZI2NJujmgvd9kVt3qZtrOWXwuk4N4ffKGpnMUsHo9VMCb7BwYNiAkghUUNZrASgGqtlWaMAGjQWmlClJacc1BaK5X3/fZjXeOb6jhzpdABW55/5ZjenqHSUJnj9e/MigBIpdTRMvtAhflOXk33pp9df87Wf/12TZcOKhCmCh0bqNzZpijlUvUwLQlIBQbX4zwes+3+GWMECVExJBTxqGUByUvfZJaXK37pN+sWPZ381ntDi5aVfHTR+Mrq+L/+ZJtVREq8/Guv7P7KJxY2jhvz3qbduWzONE2gH5AkFCgAKyid0tu1gUowuchlkwGDdbcdOu+CWxYvvdoO1bRsefMf7/6qSVMXLTRBa6KAMj7kSSAEABK1HMPv/UOKEEIIIYQQ+m934s4uGgxHCpAa/BXP/2NhSe2nv/HbykkXdrZsWbtxRdOkWGH1pLFzLlq7+qWgo7X0fEXKa6YAcAVKK2AUAAQQkEpRQjjjlBINmnK+d+cO03Qqym2lclpmpcwZQW/irLL3DnXuSdCjQ4arDKaUUCKg9KBN3ms/dKht+7ZJzjuTzG5LcUkDQvngu9xTXKRBUQlgEFOoIa4IFTbLKSKp0g71Q5YSkgrlaM0CVtcVt9asvrl49pKq33f4tz+04vM/fOX8ZfF33jqWFHbfsHrgOyvHVho5w9q4YRuj/gcODmFECL+wfEIelAaPUm2bQQU1ZjgkIWLRwod+8q1vfuPTjTXu2bOCFgibg/ZNpSijRAMZTOUyhVg674MrfgghhBBCCP3XEUK0/q+cJRuIKAAgQAjRlICX97ZsfmXPzo6qmvHHEj3rVq1pbrbPv+JrVWOWDmf6f/Gz7y+YFqCm7SuztHqyEIobRIGkwDQoojSl9Pi/iZSCEuoLcai1VWvS3BSUWlDmmsBcwcbPKHj1+UMWcwkTdtgYMrSfNUUmCxnxybOv/+36PySqrRci3Jkbrz+cK9khXZvE8iAJsQztCwk+eITaElytt+zTodWyPF5hBpxoPAACBEBbws1lhruTOjLGvnhRweyh5F2/SOwuy9z+3J6C4WR0W76assjj77V9Jl5gO0f2boZzzvp3hkdQTuxAuR2oYbm+rJe3zMIlV/+zpKHOA9u+/52vubmepWcFLVMoJblJ8r4WIIWnDEO7We1Lnarhf5WLAcMPIYQQQgghdNpwRAOAVFq42rEoo4pxzWnLnh27ckLOn6rDhc5wd3bTml88/ezvGkuhrjAqfGUG4jxc4WsKoChRAAwACAWiCQD4wjW5qZQmhL733m4K/uz5JQAuIRqU0mAalldbHedDmWP9hkdAgSxal/vtj/6ts/vYi888M6F00s0fuSEzOPy3D93VOtE6YtHOIKnfl517UFl5AGJt5mquRxiRaUqdV7pzL3d0aJbXLMQI0cIEnRQkQKivvUQwsFmFzr9qwfTeHRt3Dqed4cVn1c+fUt3RkVl7NPW1K8esf/Po7tYuQjTAB8SSVCCVNCQpKJ4+3Pa6YamMm8z62Zd+f98Tf3x0ciMdPzNCtFKaZXM+gCmItIMql9W+AM5pOuuXRB28vwuGH0IIIYQQQn9NPjsRJJRp0yRCgQBKWcQKWoU6YTk5pixfqN8/+r10RsyYEBhTbprSZMQLFdQCWIwCIQxAAyGguQYCWgMAJcf3N0qpSMv+AzOn18VDihBQknJCQGcClgnSFTlq2xazDO66RaF4UW1tvKpu/769H73+xrxP9EQSe9gYptpQtKMu3FZtbZspp7Z4xkD45nvvXX3j7a8MHD1XGREToom8ArA1VQR6TRL0/EJNM1xFfCNm5f2iJtc/XNyWPCsW/eKjF0Qi1i9/teeg11s8JlIeCU6ZWr1t1/7Wo/8fe/cdX1d15Qt8rb33Kbdf9WI1S7Zsy71jGxsMxpAAgUBocUiYSSblkUCSSZlJeUMKaS+FBJJMCKmEhIQSejXFgG0MLti4ypZlW5as3m495+y91/tDtiyKNZk35E2Y7C8fhK50z7U5++rz0e+z9l6rq6Gq4o33h6PQCGAhhisD7XMMKMjf8u3Pb9my7R3nTEiElYU8UBgLuyENlghX2pGtW7eGbN/zSFjg+RIAlADrL1gLIkLA//FvORP8DMMwDMMwDOP/t7x9ohKlQAVcWLy8uvyda26MJ5uY3/u72z4dt4KJDactCgsvsPu7Og7ue6iu0CGBhcXVoAC4lJJzjkTEGCciZOh7eS64VJIx1t3Rzhmrn5SMhK20n3aFq4KshoH0cDgasgMLLGGn/Lzem1k4e9WdP71tQmOji9CXHnzm8Wc7M8NlMulDKh/4SiJD6EtaL7vO0/ffrzi//7wzhn9/V4linaAlMSl0TAU5sA7Fwu5wLhFISzLFYFjo2pxWgJfdtewrPz943U9f/t6HpykpDxBlevsoImbUJ3buGWzfubWh6vw3uUGaAJTGXLS4qscSKhOKMv2u85d9+ov/zlAwtJARAM9k/HDEUirNIPjlb1fMbbIcW2Y8DaAAIFfE3JTp72KCn2EYhmEYhmH8NwlO/BqugQmmtKXe9Z6bQomJLbt3VDcUr373zfHCuOs4hOj52Ttv/UZ/v6hISk4sVDqbeI6zuFQaEREUgCANgAqAaRDI8kCir7+PCaeuTGfyZFsAkNXAwrxI2irgkgghJl1QXfvkH7f/KeIW9WVSucF++3s3h6LhCYn4oa4hz+ElDqa5bXugHRruSP/8t7/60JqP7Gs+WFlpt0mUUgquhdKo7U5Xn/a5jz7/w9tY+5AGZKBiQbiPZR1IVlZaX1gz8QMPHP7cz3dcOr22f8OhXq6OHugLwoIj9vZ0A4DWGgCINOdCKsUYAvNsdLR2CktqdwZ2UuQ87cVzqfZDLYP9A/l8Jp8dHBjoTg1nauumLl5+rhNOaLQsR+Y9YChIEwBI5z9XxxvvhB6+7UuCJvgZhmEYhmEYxv9vI7McAAAYCcY4OLGK2h9/76v333dnXU345l89k8m0fePLX5aBDIdDe3ftWzzLdoWlpIolChk6AMAYAiKQBtIAyJAJDpI0QwSliMjzcxOnJAhzUqEjGLIAMMsEYxYw7To6xUCF54eskF2TnVipBnZlGYVFuJq3DuUKIe6ofO9gzAq8nKMdycMRa+0jTz3+8GN2OGbPm/5UUfeEnUEooae0ybxkrZOrdjy7dUJVjep8RWoWIqUs5OQpK9O2G5+5q20iuruLROJgnwU43G/f8ImHFrX15CbVHu3Jj94TxvjxkAUI6B4viQqX8SipHEBm956Xn/75b4AJy46UldXW1c9cfcGlZRMmpTPph39zk5ZBJkPhEPOUzvvavMdM8DMMwzAMwzCMvxXIgAUYiUWHM96Bg7uXz7MKCgI/l3vi/j+3tr6ydHZYKXnmIqc4LpQiX/FoogSAaUUjp/kINAIDBE2EyEArAoYEA/0DiahdUoaMZRAsrSXpPGBA5CDYnptykXNKwMSMgnyDLNnY2qFmhxzSJMByeA58DcwayErXxjwjoFy1PbQvw3JBSbKwpblTniF217A9K3hRF1W/nD/3Xef/6qafZJqmwIIZ/XtbVg8BSWVbjiNDz9zXuuju9L7lbG9L36YS4Q9TNJ3rsqxUdUHJhIq9+16RSgnOtVKAqLVmY2prI6fvorEE9fYAsFDYed+HP1pePb24ci5B/NjRfQ/ee8fGTeuPHO0oLaBJNXbEwXRWc348QqbLeck++R8vAeLfwzvNTLcwDMMwDMMwjP82JIGRSiSi4bCby6bCNoAUbjieSw3UlEKBlZsQpeKQdpjtKw0uc5wEAB8dIEHEAIAxVFoBIucCANAW3d3dU6ZMIAoxDNnMUlIiIoEiUMJGkm6Ih4u7/Pr9A9zHtPLKwq5gwBTz9+ZhEDQL92WjgjuO8iQFaAeiSnd2tk2aPMMXFmc67Tsx0iBZNFVUs+LcIaB/+9nvnHjBodRglS/TjJgmpbUnc+/4wLx70/XBBgAAIABJREFUzw8fK8ILF1RNTZTOF85HLl6QmuD8w+/fPX/elOH+odTQIBGNpL6R/yUAQJAAwDhqlXcjAnkA2q2tmTpjwUcralbed8ftH7t61eevu3TPtrtmVXZddbo9f5ZdWYI2g1jY0YTAMJAqCKF5g40yFT/DMAzDMAzDeMsgIiEC0V9YR2IIGQ4USiDYH77283EnpSmkmTNz4bnT5zSGLVsqf/3Tvy5mQcQVgseI+EgiAgCpNCIDQK0lIAciIoUMtVJ9Pb2TGwsF87XO+AQMGWOu1nngkrl5DSoasWPDA5duDlLW4K7a7dUr5ua6Wiu9iuI55X770D3tGxNFEQx8X4mIkDoQw0/2lRVN2Hx468S6GrFQCtsbREyiLgicjo62B48885nC4h2pg3UNyQ1NfH+XI3qsCinQwaKywc9/dd5Hf7JrB6a/uabp8Ye7Hzt6KFIeS0TD1cUDW6Jua/PemQsWC84BgDFGREQEwIg0IGPcAoprjYjYfvTAvvbvgQjHku6aaz7oWNy1IRZ3GFE627Puod/7QW+gfa0ERzWc8cv+4rCDiP/j634m+BmGYRiGYRjGfxsNIDh2dbR/4zNXhcKRaDweixcf3Lc7migORUuLGuqTBeU33/yTcxfbDIALF08MbCBARMYQABEIEBloAiKGPNDAEGwrqyjBIEBQmnJSZoWlU1nIe27Akhm7Iqr2uCqjtZp3oHuHu2daOFG+7emWZLhnYnXhdMrbPrMZMTlAljgmh3b3Fl5c409VHcGxLIId6LDGDLA23f/5K6/lTz6wY90zRYURN5d4sToRrZGh4dhc7YWg8gcXPqxqixedVnZP18Cn79oV25c5fFYB3X34plW/cpbOBisyNDhAgACgtRoZQw8AQIgMAhlYggseUQoAAUW6uhSYYATcU17f4HCOh/JBeXXNjNkz6x+86ykZ9IXDnCkVeEBmgJ8JfoZhGIZhGIbx14CIdHynIrI50+GRp/+CS8jWqIa7wOvtS6uebuCMZbOKAAlFWvpB1imL6Ch3PYUeIAAQSAQGAOxEjYoh0wSaNOcoFTHOtKZQiAueBsoBEAMPEL0g1n8sYcMU3183Y8KMJ+igZkozZKAX7TjkcdajsSuNK7ccePdmsaVxaF1pNZeqmLyhZ4YlqKGGVJgzj7TAsJcNHE6My9SM4DMP3HRFySKRrJjYG+TIdrq0XweYzUbD0WG/j4oSuzvza6bGf//k0XSB1dafD+3MUJ+yEFJeJs6dwA+INAA7kWlH+AiWJSyAwA8ywlbScwVGZqy4nogEF4HvC8tBFIHvWbY15A1J5FlPhEISGTKukf2lS/YXftEEP8MwDMMwDMMw3hAeEvG/5GkESCzsqZQbZklbMdJcIFngWkqTW9e4dPGq62/9/ufzetBiQDJDJBGJ4HgDTNBEDDShYEjEAEkwj7TNkNs2yynuYtiiQSl5WtO+3WXTZq25eGr0zlv1WWuu2fjH+3NguToIOHlcWEoniP9DJptlYIGc2+xkjvXOezXz2/r4lVdevfmVLS8928zPiXmEEUgBs7kWOUWa6Xh9cFfmJXeDf/miCzr7B4pUqB+1b2udyYVd7/pfzLvx9q6bnjp0/Qdmtx86ss+JFyTZM03yoq9f2tvdf9ftw8Q554KIGGNaE2NISiOzpSbOACFgKhdACCgf5Id/8LUPHevqD3I6l0kr8tKeIkVapbUmrmHGNAdRBFLbgglmupmY4GcYhmEYhmEYf+3g95cVjRiCH2QrKysWn3bp40/cA7pzWt2c6Qsu+c0vvlVXaZHP3Ej9UMpKO1RSgAEpRAZwfBcjAhFqRMGAgDQgAhCN9HgRDABs9DiGAgUa7ecfCTfNX3bsYK8lDi9dcW7/oRYpUXLfQgu0tBXXiGEETyBjnHyVAxmhkDMUqmpDCCePHUsP7+0sObM0beXTJMIQApZGQoFAgWAhHUyQvKxwXmFssCMt5S4POQiWVVMDq+Oi5dEHHunfvK/txmsX3vqzvS/0DU+fES8tyfcdyaIQFheIgHD8fmmtAQEQ+Mi5O3J8LwOaNCjLKphS4VUVeuTnkJQmLTVXnmLEByR3UHi+zkliyHKBSkQdgOA/v2o49nNEhDce/3t71gNN8DMMwzAMwzCM/z6EDBUxe8qSa+556DkLuq1womzau3oGv19TnsulOzlj8WRJ1j+mZSClL2VGiNjYDKK1RkQADcgB2PG2MkiMI2gPOWcspNCvn15aPXGeZRH6sP7B3y++6IKhWPJwVT1PJkotESuPhbT2tdc1lAl88NO5TlSpnsGkzJzXLf94y60yPfg5p5geOPrCosgr1dEk5r1mzRLMiWniVsCUU+0wyb689o5S5cjTLItElsIJ3d7cG9/zxFF7V3rLHLlh2/DO7V3dp8Um5aNcZjwNzOYAAJpG960SjWw+Jc2QkwQUvpdhjMBmybLGJVd+wc90DXQe8ryunq5Xe3paM8ODvX3dlPb8IK9JgRbsxOiCgtbxZjkMz5zyd/VGM8HPMAzDMAzDMN56WFE2znejuRNVIwIhYCDVC4Ii8fJ0987hoS4hULglnj6cyQwho5r6hoOvvNxQYUmPskPHIgUxxkCT5ogABMcP/mkADgCINhAwBqSRYQiYVBKVzibLtncc2VTbsGAoNdT7u28N9//puiuXsUnLKquqQiUTKTMgImEtBXBGSNIPcqmBH6x6jwAdQfmRlPaFq7Rmbbr6aGZmU+rViYXMrmqihvXbXxycJUOKUjHR0bd9UmVRT8Mg81ROY4mVHciGX/hN87Q7ungZDZbY37qzOU2ay3SujdAtDbFum4OwBACQUsgYACIyQEQcqWqSlloFaUGkAOLF06SmIMCy6jnEQ7VN7wYpAbXUUuZ2f/Vz1xYXZIATKAjx//eYM1Lf+593zM/sfDUMwzAMwzCMv8Lv2WUl43w3Mhr8kCgQ2bRWyquuqh9OyVSqk4EoKo0PZnxFmnSusmricJakQs4oNdA2OuJcj40rIEgRATHGAIALoRRXzPIDYCg5WUWxWDb9WD5DoSQW1tR37jqye8NLe79w3YYPvWfrHV/37LhP4JEPqLnMWbaVR1CkfMEQUDIKBwyUlZAspMVpO6xz16a9/fs7nttSFy5TkvksFAvksXxfU7SaKTfjcC6cHI/HQ7DyqqqfzbHOvaA+3oYDWw9lmTf8VLZm7eGffuHprIjFULuOyxjCib447PjZvOP/c0G2H7VHSgWSQgX1Q4Pt77v8nGs/tOK3v/y3bJC//48/e/bxP6QDRaLxlb19fgCIWhFJ+o9jmwq7f19vSPMzaRiGYRiGYRj/WW+sCOGYbyEChP6iXEEA3FKg8v3tu6ZMmeJpGEh5ALnJU6aXlU+vmXhakMcpTYv7B8mXwrHUYH8rACAQQxgZeM7YyD5PhhwRCABIkxCcY8RCHUifQDo8LkBOnuq17Ludc6vxUzf3Fi63MFZ3XnXNMuq955GjT97f8+rmkBB+gFo7TIELXMbs9pDrubF8QSgTBafQGYqF81F7KORIkaxUEOnunjfjjEnrhkqHUllknQPd4XiZj8pCkiqX7YXADhdWBBPPqt1D+Ohvlq65ZPp3r2haNqlSCAqzgGdUmjPOudaEiMjY8cH0Ix8IAHB4oMXmJDgybkcLq47u3NVQBmfMc+fPaERv8Ne/+uFD9/5o75Ynjh3e7QgKcU6KE2eKEwCEe/U4dz5fXvq6RRx99OatPo8f+htTDzz19L+/wYKh2eppGIZhGIZhGH+FZFiYHOe7sRwbTQiBorAL2YG+aXMu/NC1357WVE/KvuzKzypIM1DIoxGVBkQRsmVusK/nCGgFHAA4ntjniTA6tE4DcK2UsJ18NqspsC2hlVZMEqX8HJTXNjdvfahx5vnhT33zlR98xTlrtf/yA+XTRdvWpwrS8zbd9cCFX/4GgOdrHitMzv2H9xYXFdilk2Ix3lBUoMgdzgwNDWZSw309u7a23vPoVZes2v7A3Wv2SDyQbqkI1iYTTac3PrLjUVbmZJk11F/Tnu6aEMEEyn2yr717gg3xo0NiD+v9zq2Xz2viz22LCshGYnGtFOMcEOhEcAWGiEDAB/sPCCRCBHREONp8cHtJsaUlKy6f3Nq8Ox5RU+tx/sLFj957T3GhRVJZxBTTtuUCAPfHm+WnHfvv6g1pgp9hGIZhGIZh/BcCHo4csTtRohod5YfIGifq5tbxLyciYsQZG+w5VDcrqJ1xLrnuodaX2/buPdjWduTowf7udi+XT+fTeU/GuD082AskiRggH9nzSUQACogDgCbFgXNbOG5ooPewUFHiAXDbC/otVmnbgzb3qWLHjp1sxsx3xKc39d79fJ6i1Ltz2ora7lDrtInRJ2/5StDdVT51zuI1/7T6fR8ssImUBp3uO7bFK6mrrJhcDTrjpZIlZY88/PQzv7lnbl65BDqvp7eyIpZzLh6s2kl92uc8XNu0YKhlW/287m29A5Fo6P4newaODT+jcFoi1jC92LLygz3WQM9gSWWVZVtaSiSOgETEBCMlAQEIhgY7LKURRiZYYOPcM7pa1pWUFcTLKvY1v1RSEImFS5io2H2gJRxjGhQQkcKIawGAmxov+MlYeDR8v241Tz440dRznAre2+U0oAl+hmEYhmEYhvGWhcDjmxURgQgb6uDUwa/hKG+pUgigtZAa1j3755/devfAcCqv0hHbCkd1MhFKRER9qS5PCqBiwWROoB5so3w/ixYQWQBaASdSHGxkqJTm3CWlNfmT6utuu23tey6bnKfiQB5gSjjUjzb3JRQkfOZs+e6X1l3/1a+lFy58/lvfnpTrCx9JW0XZwbZQpOVYdrj34LOburs7sTdNUbXsvZ+Qyf0u77z1mXWfOu/rHDOOHY8zOX1w6PS0J0gDWsjAI0giX//LuxZ1+jXNwatlEheIopILO3t+66bVUCb7TIfOFEGomDdhSSEqz4++snln3dSZRYUFAMCEAAB+YsOsBBCgQUscOOoLoLxjy86+1p1NUxfM+Nc/MgcD4MvOXsX14MRJjcIS7S07C5N2wCRHbTMWchnPjrfPMzWt/nULd6ptn/9jmOBnGIZhGIZhGP+1mDeaFYhGIsTI18WZS9Wjz5zq8rJ+1lKlAACZkj5Y4f76iVo4GHVsKSnGhWDcFhxIC9K24CHGpJ8LhNvd8Wpp45laa8FRKylOzHLnnGmtGWeoRDgSC4XCL27onbVUWxgDyHIn5vkZGYDlEqRlouK5H//gs5de9NmqhtL2px2lVLYgnUN/wpkV2DrQ28nat734jm9889iW5/f/7pb6tieGaty2RGHXrPZ8V3fttEmpWDHMnZ0tKOMFdjIajYdLnCiH4a4gpyjN/IHmcA6jhdHKyhk3/7i3ubmDkX2wZ2jyaWUHH+1bcN2sPHTu3Z4IMtg4ecIp7i0DpYPMUZDpmGYpyvsivvm57ySLzpq3+kNHju36zg1f+uyn/2XxWWuYFbzw9KNH29sqSkPhEKSHUWodD9vJ/WqctRs54DdSzBu7oCPL+OZn/PA1DT9fc6EJfoZhGIZhGIbxdxoLAVlj/ThPiGXYSJwQAkmTkryyolJrx7EYQA4UcswxpgnjAVJe5kgFFsVs9DsOby6afBYyBogWVwCgSZFGxjmRBmCIGA5HOeBApgxhyMIoWI4vFefMsZOpfPe9Tw9cdGk64az7w519lTWXNn3u3B0P/YYNB8WlET3vtELHHki3lnudfRu/melXtXaj05FHnb+4IU3rn0lWyI69LRznfu2WW4CyzHYhH5AIPGUJaTeFhSQiP2c54V2vvPDLW65858UtdrxyauX02361qfmevnfMrD5r4ZRhFIe7j2SZU1yeeNObwwmA8WOtm7iVsbKgWahh8Ydfee4Xrc333PGnX/an8hWl/A+//NdsLprNy937Ds6dbkdsHfjALaYCbQle0OqNc/OzE6vekOiOh7rR/Z2vM7qs8PYc9mCCn2EYhmEYhmG81akPkYB4deU4zykZZABABIyEZkHOty6+4iux8sVSpYWQiKQCi3FXao9xFyn3q+9+ojjeGgfW27lXoA4IpNKCgdaAjLTUwDkyBgBaUUFxcUGyYOOmo/NOqyiNBsCtfKBRKcVzyCKUO5wMswiwNe978YVXd92/dfWa67851NZy8OG7GmvP7e60OjP3NbDh0gObNS/uW/OFF6ljsjd0Wun2wY47Q6XaQefRbW7D3HrEmOf7wnERw0IFVoRL6QMEAO7tP/mMjq+/4oMDUZF6zi+oqdHf+fbcworJLvM91Z7Nhra/MpyIxedMXXDKO4gq1deKpHPInERhonbJGZc2PnnPl8477bAIBj3QaZ3xvUwu5c2ssSQyzyOlgTN0HQf+o5aemfqa0T9n7J85/pqOv+Qm+BmGYRiGYRjG36WQC0UF0Dfw5t/0MZHCwZj2AyDO7HDwxKO/Lq7YMZTKCh5JD6WjEbu7v0OEIhdc8elYKBaKVA4OtRUWQjrbN9C5L1o6DZkgqVHYmjRy0FqP7kC0bWvG9On3PfbY1o3Fq8+VQSAApOVwLy/RTu7Y2lVZFlt9Tg6ywerZcvGUdX/680s6uGT5mZe88OMfoZdP5ezOHHmdkMwNPrv+VnpP00AHa/AaDxYmDsv756f/Mc6j+ZR0wszh5MkUaccVTiBzQtDjf35434HbLrmos7A0FxHczyhfDVc0OIBFSEdzWGLb8f3bMh3H/EvOn06n2CYpgzSITL6vPcqjOeGl+jp2rPvZ7DM+tOp9391417ey3RvywaDSLkcVi2EqDb7UnCFjkA8oGbUBINQ/XvDzkzEcM6t9TKjD17Z0wddNcRi7ERRPPc7hbxC/4YYbzI+kYRiGYRiGYfzXHT8idrzTJhGRPtalX917qud7NnSWaMuGcAh1ILs6D2/atGH/ni2HD2461vHSkcPbBcIll/6vZLL8iT/ffNc9d5SXYGHEZoJ5eVU9aT6BhcCOd58kYpxrIq0V55wIQtH49u3bh3py02YlnRDnTAIpxhRAfN2mjpfWy5LCWOUEjzEA7c2aySZN33Tf868mS2ctXHP9/CuuipdP6Nqf3t+Vc4YcOXvWwaCZHzqnKrJovX+0smJpQ6K+pDwQTlxrLoTFAAj5Yw/e88Sj35o7586zzj5WFJZ2oDIyvftgwcbnI9PrysrLmS+LHJEjGfnj7waUxa658j0qknT4m40W53brroes4QMOQjbwbJI9R1trpp4eipRWTpnbP5Tt6+4M26l8XgfkEpIlgDTzAiSgysJkQbsu3R2c6rYPT504sHQeY2xkeCAiMsYYY5yzE5+OPOSMjXk8YvTZJ7aAMsZOhkJ4zTnAvymm4mcYhmEYhmEYf50ciMiXLZR3/PlUT6jsYVungZSKE3CCZIgla4FzYKAxXHbWqqvrp12ugL72mffu3rd91dJkVZnyJYU49LdvDzLdGK5GLlSggDNQBByICGEkkugJVRMWL5i/9omnnnkqdMHF5TZTyDDn0e7t+6J8uH5Jdt8Bu7M3fuH5MmKl/KAnaiU/edWx3vwtax+9v2/wrKbFK1d+97asl7vvS//7AzVnHcmuiOTSQdj+VNO34m4MbFSB9mUuL5XX7z12962D+WdWnXVo9WmKW9oLkMLhrOx5YePku+7Px0MylbO9vMttyXXy6SeHurpTy85abEUKgL15QCJFqmcHkC9JMiU1Z5MapoSjpQ/95paZK5YsPe9T5cX1G5/+EbP7pEeCezmPAyBHjchDjijdmRlnXYZmTXvjSo0ZyT7mUN/JGt/J4e5v03ejCX6GYRiGYRiG8f8e7YgIT1b5xnwdEYjEwjnj9BgpGmIAgMRsrpUmJJswUAATq6esvOxmyWPNra9+6V+vK4pn3nVmoiTk2J4duJoCJezB9v07qmaXS8W4YIio+fFAQkBKBYwxADjz7HO279jx8ua+mbOtxrqQ5o7j8KaZ1rrn21efP7Dh+XxF1cW//O36f1jjRty0VBmJnIXKLr2wS7I7X3z+zzffNtu1mhZ+4GqWrGosQK8AQA/akWgAnOn+vgxsfOzu9o7NyfD2iy8eRCflsJBEDdpnwu73vSfvrmttlZddlmvbL+5+sPl/zzsr0LnUsH5iUz+GrWWrV4MjbHrzUXtdh1+0823aiuRy/SGXHfODsrp5irO7H759x97HLrrk6ukLr7BjBWvv+xrCUdCMmCYNnKOFFgDEjo3X0jPTWAcnpvQBvGbr5msX902W++TT3vA5/A2X+0zwMwzDMAzDMIy/Sho8/iDkjjPG3VKYHMahOOQ0IGNc+Jyz5WdeP2X55UyzP/30Ww88dPfCJqehIunYtufGShtmt7a0CegNkbf/1bsnTF9JzBYAI/s8lZKCj/x6z0lrAlVYGFt82oI/3/vE88/mK99fICDrcNux1Mc/seh7N+ny0tSyJQV33zPzAzfAP1+2YdEs7VM4qtpydiRKcNrp2dPlC2ht3rjtT3/4eSXnJYyVaHIZaoRupXqSsY55i73zirNcESJmg0gA4PKcl6cde8seXxe74srJPj+8ar536y73iitnSekBRu556NhA19B73n1hZaKUlMqTLyQT3CbtA1iAwDCrlZs+/LiNhVwPWG5dUe0sO8vL6lb29fbPaJy0cEHd3m3PahWZuvDcS/7ppu/dcHVDMQnwJUcdQGFBhGe1Mzze6Pb8hPIxYW900U7OckA8mevedIb727G3pwl+hmEYhmEYhvHXSYCAAMBWLdenHuO+aJf95BJfSXQc4fuBa+O0pqX9XcNf/syH+vr3X7A87DA3nCwrq5s3Z/n77VBtX/+Pju2/p7406tq9LdvvqZ/9fsUQSTHOEJnWeqTWh4whgVS06rzzO492vrTp5bIJ/Lzz7HxeRcMO+HL5ysa1D3d4auBAuiyfXPbx3y9c+tATH7vi1aYpyQBcHeiMzDvhEKPswln+knn9GiyNDBiQYkwDZ9JjSueB+7aUkhySOgg7yX371A/vXtTcu2hR7a7qmviGbPLeBzOr3jmvdmIEQL/4XG79c0dmTp99xjnnIJKvtWsLACE9TzgOEWkChk5X63pLdqCCLIlY7ayCGWsSGhhCaUh/8iu321wD5JQMaeQH9x99tTldnoyFLcjmQCCLR9zyDflxFqX7zMVjIzq8tsXLSMKDN+75PFEhPFVDl7/9Ri8m+BmGYRiGYRjGWxHzEAlgpNh3fIw7ECKKs5fLn/z2VFdV9DIA4IxIa4aAmu76/Xf++PgrNYngvBXRSLxgxuxLG+Zf5oZKtZLbnnv0kaeeKAqna0uLhUq37XuuYfalDGMABAAjkQ8AtCbGUBMgZzaxc847Y+++lueeGZg0uWpKg+fJMOPRhikYg/zRFq8r57jFITfWuA0mf+DmzfNLN11+bvOZC4ZjQqMECW5ahOPQQ+ShZqhtAgWoNTFb2sxmvmJW1PV8//kNofvWTdnXPz9WsHC42NK5A0LDinNLf/Sz3nMuL2EYad6XeezRw5FI2XnnvzNkuwTKsgKgkEZgAoEAICCwyc8NHt2YVPGAhhhar+7Yevdjz0rFYiLOMIsWd3iUWzFmOcT8Dc89W18jXDsrfcYYuFYEAIp3++Ms0+CCGYCvn9c30qpltMLHGHtdS8/ReuDrQiO8Taa3m+BnGIZhGIZhGG9R6juxvXP0c0QAAtZYP85QB0vhlFbeXE+OrVBbiPmjnS831otFjROa5lzauPRKYjZnoU1rH/ztr27q6T+24uwltRUN+aAr4rsRN9ey9faG+R/W5FuCjwY/xpCIGGO+LxljNXWN512w4te/uO/Bu3tLP14RdmTEppgVLprf8NLzPerIflE6B0IFnrJCxYv26Flf/uOh0jv2TKs9sGjuoTOWUFT1ByFLcEIQ2reRa+RBoASiHO5JrF1nbdg3YWdPrR+Z7UTrWRF2gRdR2HogE8gJZbXeqvPmFdqJgeGBxx9JHzs2uOb9a6ZMn8I0kzIQAoGQCDi3QZFmwuLYt38T8zuIaQk2tzJJ0V9jEVkylWvWhIO9YHHI5INckA0CGeMwqSYEUgFIW1BRIuz2qvH3eWbrql63cPhmJb43nekw5mmvyX4m+BmGYRiGYRjG32kOHOnvMkJcceE4Rb/Jbby5XkmpXREgYkEEF8477YzLblaSe9mBh37/w4cfeYDY8Jy5k/5lzfcralf6udRP/s9lyyYVOCoYOPySmnKeSNQDKK1HUh8bzSSMCLgXKGvB4tPbDnY8sXb9H36lP/ixRi0HQiErnffXv9TGqxo7dz0cmnROWbRcokiJiCqY2qMbu4eDtc/kvn3/vkqrp9DNOW7ecTOMB1rxbDbq50OH07EBKMHCSbYVDhVbQpH0fGbZhdrt2XZ7LJmyLO7lS85dOehl5YN/Sm/b3v6Oc1euXL2SAFEwoW0A8KS0LQKygCNq8AZaOg8/nxA+IQ/sgtK6i/N791i4FYN+KSO+9nKlQkM2M0whYQceyyvlgZ8DEsS0RtcSlS+N18+z+8zFwPnJPZ3HT+69/oDfa7MenNzhiTh2gd9e70kT/AzDMAzDMAzjrxb/ABFRXP6ucYJfWT93PfCRk1CgkAKr/UhrX6rnNz/4+osvPF+UDBYtLF6w5P0zFl8TjpaAtHK59J79/TOrQqVhzoNgxwu/W3j+/0ZkAKAJRo75jfQaFTbkPMYtjEcLrv7QB7t7+156eUckRFf+40QH+sNW+FCHILemdvoS1vUH7tX4BStsCHNkHkMHQDDXj84eCLndhERaZAGQkVYSCBxmh7UlGWPcUuDJQAlhMTff357rfcWyrO5M+Stb+xcv1ooSv7rn8ENPty+e03TZ1e9DzVFwP8hYPKzygeVoBoIQiIgBde1/lusuTsKTfrJ6cbjmnCk1K9MdG/a/fLfMtAg/asNQyhOTZ5y+/8DeQHVoSFOATFo+qWQ4CgDJA8E4KzKyzxPecCRv7AG/127wfP3ZPRw72uHNin5/s4HQDHA3DMMwDMOjvbO9AAAgAElEQVQwjLfeyG5PIiIgch217VU42nmqJ4dzeHgCCY4InMAPYPiOX9zZ39u8cG7B3Dlz3nHZ/6qecr5tFb349ENVkypvu+lfQjA8uabQtnxSgOhDEISK6zljx88ZIgKA1kqrLOchBM05R2BzFsza++ruLduPDA7A7LklGu1FKwv2Pr6zNzx3Vf2uG79YPrx/Y8v+FmIh7UYcDQqZ4pZPxBgQMQ1MA2hkgBw5ZknbyG1NgfYk1zDUXOWtv+bMrg0torjxwrjad+nlRdxNPHDP0J8f2jetcfpHr70mESumAJSSQpCSXNgCyAdwkGGgdTC4v3vfQwlXciUY8J37Xtm44YWqiXVFFbMmTDkvH8junkMW93lo0qILvprx+dpnXyor4iA1J+UhqywsqdiQSxw55SCHIB7tuPx8QBgd3T46n31kdDvnx8e285Hh7Ywzhsc/Pfnc0cntyE4cDYTX7RE1wc8wDMMwDMMw/qd63TG/E9nvePyDCeX6vsdPdW0yhXsbVMDItVBYGoDVl6jqmuKFy89d+a5/i4SaXnz63i994ZPnXfCOQMd++ZPvXbSiOCQcRdJhcY40PHAwWrFU2DZngkATwUhEkeBYXAUBSZIWI1Ri4uQpu5oP7NjSPDDgzGoKFQi24KzE/X/YfMU5sbpGWLq4oOj5bdOfebyy/SXqb817x/xgGJAhRw6cMwQIkAhIKpm1Btqcrm2xzpcLhze8a0brtZdlP/jeZNMM9vSTKp1tu+urpWWFkfseaHvg/v2Ta6dc++Ery8snAmPC5ioYFsIlLrwgsIgBoaIcMrvzwLMss50rLpjLtJeIYVzkXnrmocMHmwuqZ09oWFRbv3woE9TOXB4pqLnhX66rKPAKw6AI80JG3XjYcifdm2b6lAvUftHZuYnVyEYT34kkx/B4zjsR/BjjJ/7h7KQxyW/0v6/tAvq3HPzMVk/DMAzDMAzD+OvkvzFf47OmBadu8cIIF79iPb84UBBwIKY5gp535gcb51850D301RuuOnKkZc2731nfdOaXP3/V4imhMLNUclJF7fSWF++siAthx1o2/mDmOV/Qwg5yWcuNSZnR4NqCA1iOCyPhU7hQVVXxlS9+9qs3/p+n1+4NUv4Hr59YEhULy9uXrlppiUGO0d6WnncHSvb0UrpDH4xkudoLukMwj7EcEz7jXOlY4DlaTUbdgMqSzmPVkcs+epEHERcoAK+ptLlqgnbKV/3yF1sfWdsyqaHxmo9eXVVX5SO3EUhp2ynQCEBB2BakABgi2DrIeh3POz4H21aYC0CBDgpdNrM+MRDsveeH7589/9zF7/r4rLM+LpDd8bMvKTlYU5kgygLzhMLiRKJ4S57L8VZmYOm8sfs8Ecd08hxp7MnY6Im/0S2f7HW7QOH149rfLkzFzzAMwzAMwzD+S0FvnABAx/8FQiTLovUvn+qZyRRun6ZIc86JcWK2am9vO7Sv/6tfub4kml6+tPjCy2/s697+h9/+8uwV9U2Lr2lc/hG7YNqL69YVl9t+ICIse6ytrWLy6QoYcs6AQAETXGsaLT8ijpS2+Nx585r37Xh525HuTjapKb54YWU05iGEvJy492eblg4ThJXMsQjzQlqVWGwaBU1KzgmC+Z4/V3ozUE5jqkICksWF3ufnGq6aWRLSHpe2jsQTOhQvuff+lrVP759SM/m6T3yqftJEZIIjIkhAAmSggaRinCNnvvQ04N4Xf8kzbVpkAyshojVZVpT30WIZLVOBEpUlkaOHm59+8r65S96Tz7Z94+tfWTgzWhAFKZUmCjtx13InPpgR3in7eXafuTg1e9rYfZ4n6nYnNnseL/dxPubjyHZP9prq4Mma35s0+vwbToPM/KwahmEYhmEYxlucBt8sH4qLzx3v93LCObuF1MiRI1cBWpjv3PTCHauW2stns0nVs91E3c3fvemsRQvPe+8Pime8s7+/87tf/NDzL29MD/iFdmArGaNdBzb8u+CCiBAtbgEAMPb6v4tl2+VlxZ/61xtmzJy19tldP/rOVl8XAnKtWPN+P8jkf2zRoRwjzvLSBXRcXzqecAPOAcAi4MCAWVpISwSc2hW8oFQylFAkHCjIscyEmimbNnQ/+2zLzKY5H//UtTU1pQCQDRQEPgD4WvpSIgNu2aQh0MTBPrrjkaB3u1bAkkuq5l9fseDjU1Z8vGHpx2RipieiNkMWDE0o4eesXG47/Oc/vLG4QE8oY4HvWZwL5iYjyeQezxnW49zenrOXvqY758kGLjD22N4bW7y85prXjvJ7m70n31CINgzDMAzDMAzjP+dkK5eR366JCEBrrbUmrTWRUkprHfz0t+rfbz/Vi2iku873gxBFY4ENwrJczjKMhQsq5q+85NvpnO7uaC6pqH127b37XnlWeV0zpjXNnLMsGuW5VF9f374C32eWVIm6wuoL4lUzGLMYIp2InaN/SRhp/in9QGde2bL7kQcfP3zk4OzZpaefXp4shE0/eHnSk7tePG/iqktm5Ab73DTlPOBKoSYkYgBoobYFMS7C9mNPtc544uDBArvpC2cvWT1l397hJ55pe+XVvpqyCRdfeMHs+TOckIvMBUQEhaQJbQ2glc85Q+So/cHulp6dd+cGml0RhKpPj0y8/PFH79LpY8WJeEHttMZZS/z+jv0v362HNzOrqHj6Nc3Nux6879dnnxbjyift+4EKu8mQE5px84CVO2Wu6V8w48gHLx8p9x2v2nHGOUdkQvDjhBCcM84tIbgQnDEuBGecCz7a3uVkn5c3DP37Gz/gZ4KfYRiGYRiGYbxlwe9k9hvp60KklCIifYLKZP0l7xrndbqL9GMrg7ArC13IcRG3Qrm8nLP6w3XTrwxx/9Yff/WJJ59cNqdw5tT43EUfLZm0mttWe3t3WWVlanBw31M3Flp9Idv2RKhg6gcKq+cgnEx6o+PdAYCkBgYESAAqCNY9+cgf/vTAke6OJY2V7/7o1Ns+9fDnv/PuwloRiySk302s0OJ5AlSa6eNFL80AtM5uX59b+4k7zvrF1WWVBb++vWXd83vqiiOXXH7Z6gsvQECOltSkAt+2BAMdILcYUzlPhGxFyCho3XLn0QNPxYXnojWUD6ad+28//P6NEwsyy2dUc0sOy9Sx7uKzrvgOuPpn33z/5Ane8HBu/bbu0+cVy3xOMMr6OW6xRKi45oFU4R5/nLu682uflMWFo21dkDHOx27uHEl8Qgg++pFzNjb+sbFNXka3egLA2yf4mTN+hmEYhmEYhvFWGxMAiAhOVAFRcAKgzTtOdV0kh4Nx6oswxwFAAgpcJ9TZfig3nL3hy58f6m05/8yC6qrKOYs+Ujb5nYEcvOGT//jkgz/t2rN+0bKLo8XVGzY+UVZoRywx2NeSLJmpmOCcA8CYGQ/Hj/zJgDQC6IwlQlW1NYtOm9dztHfLjv0vbjgcqSladWl9xIoiDaZl1LEYktIAiCSQMRw5tYigRXxC6V07WiOR6ptuWb+/uX3pvEmf+OQXFi1ZIrjlS62JGAWOQ4ioSQjOZOBZjg2gMOja8cxtA+2bXDZE5DLI2hE7Ub3subWPrFpYl3Qo8CjkSMfyh1LZxITZ217awP2e4miupiYKnrS5ltr3NEtGCtxeXb02O07e6l8wo3/ZfDzZk/P4ub2RI36c85GunqNVvdf08zz+1ZPXvh0HOZjgZxiGYRiGYRh/tegHQCcrgaMz/QCbJqv7Hodc/lQXlnez3VN1QJCwEUAg6ihLbX1lb3klLZtWFrES85ZdU9Z0Zu9g1xc+fXXMHnz36rqqMoVaJ+tPW//8jqoyGRE57WUOH92VKJs/UtIaaVY5Gk4CLS2eR8WFxQKQnDuRUOzsVSsTseTOXfuOtA1u3jhUEOOllZFoqBC1BGZrEgQAgASc0OIYygHbu6ll82b/6Q27oxH3qndddO2nP5UsKUHUWmlLCAx8yxYAlM0rbllMay6YIkj3H9mx7jfpng0hHLYgQgwsAEu4oaJZBdHyoaHNbgwdwXI+SZQ6FC2qWrB94/M6216YsGWQd9FWKq9YYIuoY9kNdw5bmfH2MB782BodCY0t943t5YLHB/Wd7OcyGgL568c4vGaQw/GWoIyN3lUT/AzDMAzDMAzj7zP8HU8Cx3t7IhARcAFFBfT0+lNdJBQ6PhwtA+ASbAHAwsIpjvKiAku67syVH6mcekFPT8+XP/Xeynhu9cKSBOc2QHLyGaFE/XNr76mM5xNuOE/MyfUePrQxLJxwYQMBSpIccORvwpAxtBjXSkqLW4hcakDOpzROWr7ijJ7Owzv27H/uhbZjbWrWvArGc4xZQDZpxXkCtBsoL5vR3//+9ttu35jOyFUrln3mXz+35IzTAx1wZjPQjAGCRGFp4ETCsQTDIEfCYth/4PFdz/2UMntdtJVyQJACzlBbHHmiZtKSy/ra+4QecCBEMBxot7B8aby07k9/+Hl5MUVtiUz6SnuSEXMjTrhoc65o53ibPDvOPzM1p2ns6b6R6Dem3Df6kZ2Y3M7HHufjo8EPR2Pj26yfpwl+hmEYhmEYhvHXiHuvCQAnTv3B6I5PmFSnn3oB+gdP9QrF/ayrRA/YPOxoizEGNloBCt7U+M6qWVf1dR383HVXVhfhykVVlkvDBJWNF5dOvWB4qOd3v/rJytPKOCilAtAkSLa1bRroaykqm2nZ4UBmBAMCjhgozRA4ogAgRMkZMgXM4o5rr1y1elJt6aHmfVu2Htz0wtHp86eWFHBQyEWM8lmy1JE2dsMX79+27UjdhIrrrvvwFR+4siBelBvOhl2bgdbMCjwlLAcAKdCMIxFK4o7q3vrsLQf3PKK9QYscQrJtTUxGUHCylNKZfLZ80pKKulkeuPmgw2PxSOnsCTPP2/PKhoceuPf0uYUh0J4kwZmv/LAVdXvVxHtT44StIB5t/ciVOFrne8PpvpFy38gXGeeM4ckUiAwZe+PBvjdp6mKCn2EYhmEYhmH8/YS9sfv9jn8EGLMH8WT3FwCAOdPp7ofHecHaNnagQecUK4zYknzhKK2srs723oHM9775panVcOb8BPdj6DrVM95ZNevqgcHMN77wsckTaOqkAodZWkskTcGAyxOp4e7W/U9xyheWTlNgESIDzgCAISIQkNKcIQcE5Q9ZNtMBlFXUM57O57y9LR0vvXhwxVkz3EiMJAmL5TV8+csP7GgemDW9/p0Xnb9o+XmWsAUny3WlDBizNQRc2CMZiHGNkNdq4Oj+V1594qbBru02DodtiyECeiCQsRBXhMgtV0gv3bJzT3nDdKd4emntGUXVKwurF7bu3X7jDV88fV68NA5cI3GeDzxbxBhjjT8f4MF4i9L6wfcEFaUny30nqndjy33seINPfqLYx0ej34kDfifLfaOj/0bbuoy2zPnbH+ZuunoahmEYhmEYxlvjTXt7aq1HGnuSJj3S4FMppbX89k/ojw+M82oDCXrsPBWysaxEE8U5WI6T7k5FhgdSsxuTXEWVxRpnv7d01vkZKb/+uQ85fsd7VtXGInGLW8rLpHNphJDnpfyAUNCwl7cikxsXXl4ycTqjCDLmS59xBxGAgIECkKDtQGb7BjLXffS69p5jhBRyXM8L/vmjy9991TLQeT+glpaef/rILyKRklQ2jaAqyyb86N9vLS2JIUI2PRyNxoEAMAhIA1k2w97D67e/+PvU0N44BBzDQBwZ2Q4CIJDj2C4BcksKhi4L5YjvPOhHiqfXNZ4W6PyWzc8+8/STy+cVzp4URenlsr7koBUKZtX8cSjeMt4mz+GpEw9e/w8js/vG9nR5YzPPkQaeow9G23iOiYBj94ie7Of5Nir3gan4GYZhGIZhGMZbZWwMGFtfGdviZfQhLpqr/vwInrrLS8hDx4O2ciLNLO66rsdUIhlhJUkBFA8ce8r8i8tmrJZ59m+fWQNex5rzJ4aJk3aZkNpXkkNee0GghQhASqEgn287dHBD+4F9TiQcisYsK6YIGEiGHiKDAEj4wEO/+OlP12/eOH/B9MHBVDaTB1CZIWpt7dm65cjOHb0vPHfw4KEeAB1y+GkLml7duTsE2Rnzm2zu2LYbyIADA2AcWe/R9Rsf//7uLfdaqtsOFAAAulwIYYEmAcq1OLesfD5wtPYcwWwesp183YQQZoc3b3p8z/bnZe7YO1ZMqC9ztSeVCjCklRIWWgUvZ4s358dfi+bPfZgce0yZ7nj3zpHtnSdrfCf6urDR7i4nyn2c8ZOXn9jnOfI5wNupn+cIYX4+DcMwDMMwDOMtzH7Hcx0iASARnIgHhIjHHyFDJEuwW26kq64d59UaD7D2Kt1dAY6TchTaTMmACysEIb+8dkXJlPP7+4OvfP6yglBwyTsm26TDTthTUqsMMNQaUGs3wjIpWykPeVYoK6Z5rnfD+oc2JxJVdZOW1s88l8XrAsUZQ22B1gEiG+rLosZpjaWv7tgVixYMDPe29WWGt3USATDL9/J5JWPhokyma/rshnUvbOnuHLatpO9pYWkGOe2n9m57+MDeZ7PDR0Ncx5jlpyESCikgxkjqPCnBAW0bGPMD6UWsuM3DqLS2VODbDLG6hE0oq0zlyA8ASebTw2HHyirKeyhAuIfzFWsz469C6zWXqFh0tNyHgIjw2mN67ORchhPtWkaeyJCdCHUnL4fXTmyHt0PSe/0702z1NAzDMAzDMIy30Mgv2K+b5H58tyfRiZ2ex8l/vx1+/vtxXk0jrVupe8phQmE4HmN5yeJhR2k+5CWaFr3/llt+UJbMrl5SF7eZxcESESa40llGqj8tbeC5QCqez/u5IC8EgJRZP1CkZV7mPSCJoXhhQ8P0FTVTzo4maklpwmDTCy999vNf9PwscktJXVZa+Jl/vj4Ujlgosrkct+D73/veoSPHhJMI1LAA/qPvfXfJiqXkp5t3PLR3z1P9XQccS5PvOQAhyyYUXHDkSMRcm2n1f9m78yBJz/qw48/zvG93z7W72tWiCyF0YGEkKxIEsGMIJgZcIdjGJoZU2Q6O+YNcdpyyU7ltYif5I6n4SuLYFRJSsRMnvvDtGBufcYwBBzCRhcQhIQFC7K6k1e7sTB/v+zz5o2d63u7pnV1kI7TS51Ol2Z7Znt7Z2VXVfuv3HHHQG9R1KXkcU72+eqhMQjW9Nq/Xq3tr7bg5vNFr2q3xKNe93unT53IZjcvk7GabqtQ7MbnxPz4SDyyYR174Rfe/6fXTuFs40yXGtHthw3S4V+1c1z67sH13Aehsc19VVd1x38LBLrPaF34AAPA0Dr/d96fVV0rJbc4lt21bcm5zbkfj9u98Z3zvH12g/V5RTl0RnnXF2tpGSqPB+qAOvfKRE1uf+czolV9y43obSy9Uq9Wk7feq1fVeHA/PDichT0aTMBqOx00OOZfxZDxsJ7lMJpOmmZSc86RtcpkMJzHElSNHjl5z3Rcdu/KFz7jpRb/7v9/1oz/29pMnT952803/4B9/z41f8OzxcFT3QmpDTvWJhx/65//0X9x5913rG/kvvvzFX/SFh0889O7Nhx9pR5ND600qMYZU1VUdU4xVqlNMsapiVep+rx9z7PdSTKWq6hAHJfT6dYl1TlUcpPV+nKxtrDeTqg0hhPHWua3ROMfYbI42J5MqbbY3/MjD9dZB/TI5vHHX93xbGQy6izxjDNVs+ebeg1nt7ezxW9jdF3eq7wK7+4QfAAA8fcOv237did/0h+7crzn5cPmGb4kPnz7gNZuq/Mpry3g13PDMI2v9XoqhHvSrmFZK7vfXRmWwNshVVdV13avqEOO4mYxH4zBuTuccyzAM2+1YbbXn6lzCMG4150YxhyaPx+O2atpxaUZxEsuoKW2uhiX0q2OHNvpr61cduXy97j2z3+/1+6spnatSs3VmeObc/Y+efqQ9c27YPFqVPIi5Tm2qVqte1eamqkOvWk0xl9KPVej3ch71LzuUc+mnVKXdLXYpxJRiXfXqqgox1qka9FbqqpeqkHolNXnS5qY02+P23FYZjs/Gc80N/+HUwdUXQrjzn//d5vix2UmeMcSFM112qm/ae9XeuK97xMv+cV/30vZLbnef8AMAgCci/GYLPqelt3C8Z9u27fvvjG/+Bwe/7GhQfu0ry3g13njN0SP9lRKbuNJL1dpKjKvVKNRr+8OvTNrH2ibkcZo050oYtqNebptRM7j8hsuvueXT99//mRMfGI1P103dNuMzbRjEuDUKw0mKKea2TMZx1LQxxl4dqhTqKsUQ65j7vVJVOafUq0uvrpu2iXVJdb8qqyv97V7qTUZtr84hrA4GG23eWh9UKdepTkvDr4p1rGKvqga9ukq9qg6xDlWbNtvtSRMnW+2Z7TPhXL7+h05csPru+2uve+yL7wiz7Xy7izxnETfNv7quZ0O/6fLOnUWf5x/3XaKXtncl/2cCAMCfon2TobjwU3F2Dfj0moGUqjtuLd/x5oNfdjCKr/65+IwT4b5PP3p6eG7Q74dSJqU0qQ3t8iMbS4wxlpJDDiWWSVWqWGIbJ5c/60u+8CXf+vLX/b3f+INTKfTappRUSlwrsZ9jXF+LJZfS1jHm1MRBqEMTSgm5hFCFUuVQSp5UK1UokzAet5ddfuMr/9K//Kt//ade9uXf/omTZTxu+3Ua9HopNJPxuIpVW5qcVw5KkhJDyCXkENscSwhhmMug7k2G5cz22bTZXv9DJy9YfQ++5uX7q69zcV/3IJeFh7M63PmMsLedb24v36V4psuMUz0BAOBzGIFlerBnKWHubve9KkwplVLSG74qnzkb3/o/Dvq3extf+uvl914V7o9nR03zzGPH1vqj0q6OYhgse35bSpVKCLGEXEJblX7OsQ3pGde9KKfV3/7N36mqlNt60NveHKfXvu5vhHjFH7775+7+yPtj1QybSahiWO9th3CkPjrM24eProZY96vcbg1zPjvOqQqlCuHqa591/e1fkeqNG19w4+Hf+qVxc3dVTcqwv7oaxs1mVa2HUoV0ULbFFEIIpYRSYix1yWGwGh89OTq7dWbl46OrfvLReisf/H0+84U3nHj1l82+rfPVF2fVt3ste9y5rX33KbMLG6aXNezO9+YO84yX+F9F4QcAAJ/79tt9vBN+Kca8O/TLuaRUSgl/7Q3lA3cdfNBLKvGlv17+3wvDx28ZTiYP33z1kV5vlOOhENr9Ty6lTMdXOZZYQh3LsLTVyrErrn3eqG0/+P7fv/aqXr+eDIdtNbjsultfV+qjv/DL77zv/uGNz+qtra3+w7f8fFq7pi0P1+2h2Bs1OZfcS6n807/9dauHhqu5HElV26SV3pUxDja3H1qrr3jjt37vj/yzb7zq6lNVyuNx7A9iDGU8CWurzfm/QbmUEGLMJZbQi6EKJZ4+9djprc2Ve4fX/NjD8QLRF8584Q33fssbQ13N7mqPu/3WNZvqTddwzoZ+aWdJZ0rzFz7E7ra+zp/mpbjOM1jqCQAAT1D/dX6cDpSmoRF27x2oer3w/W8pL/wzF/gXfIm3vzfc9u5yenP0/vseHk0mdemd/5/7MU7HbbEKoZRYLjt+c2hyL+X7PnrP8SMh1VupLkePPjv2DqXUfOQjH7r68lRGucoxpPXJdnPu3PjRrYdHTb+Ewd13f+DuD7zvkceG26NUYpiUploZra6vpdh759vf/n/f9RMraytf+41//5MnqlHZDqlqxr0UUl1VIU7O9xWW0oYQSogpVamKbZ6cfPTkY1ubh//g7MVU3+Twxsf/5jfMqq87R521XbW7zy/uVF7qDv06I8HuIHbfCS6X+MxP+AEAwOcu9OYez7Vf2mm/3RlViimlXq98/z+7YPuFEG68O7z850vayu//2IlTmyfO86wcc4zTzX6hLmFSUrz6+hfG/qCuysmTpy7f6DdNyrF/7bNuCzHmSbz/gQeOHU4rdT0cbr3+q1/0mlfd/DWv+pIf/5F/1U+90akH/tY3f/13/cM3bT32iWODSZm0KaRxif0jR0vYPnPqE7/40z9ah/5znv/Kq5/5oqY9lGMbQhViDKWU5vzVFKsQYggplDIcbZ545OHmseEVP3bq+K88djHVd893/u086M+qb/44lvmtfQub+nZ/pko7N7Z37nSPMcUD/hzDpTbuE34AAPBEtN/0/RDmdo11J0x7mdLr5e97y8W03+HT4RU/lS//dPnIp07c88Bnxs3icsqYQimh5GkCplzaVIXj19w6yfF33vn2yw5X7aQOpdfk3s3P++LJON9757sG/bg9qsaxmYTw3C/o3/HcQ19669pV162EtpS4ftmR+vm3D267ZTXGsNYLIddtqeLgGTmsjM5ulfbBd7/zh0ft9jf9nR86cepQGyeDlTIaTnr1IJT+Qd+nkEoOW6PtM+e2B/cNr/mBh9Y+PLzgb39afc2h9QOqb3Z/w+zN7tGes/1+aS6+d16nc/jO7tSv+2d6Ke74E34AAPA5bL+5w0FijCF0xkqzIyb3FnymFFP/YtuvbsKf+9Vyx2/nU49tvvuP733w1KlJadpShRCrEnKpxqVqUiml1KHpVVVpj28cvzWU9N7f/7Wrj8eYx704rlbWj930wpXB4B2/+jPHj8WVuk0x9XsxN6Wu2iZVvaYNvSrXdQmxakoVSshh0sS8Mq5LOLr6rKpMzjYP93vxrg/8XH32TGgnr3vjP7r/xOHtMqrqJkxSFce5lBRTnVLIbczjlNoqpRJCP+dS2uFkNG6ay37xkSvedqK60FEu3epLu9+zheqbFt5OTXfSb/buzuXuafYCezEeFqqv80d5iVZfcLgLAAA8YRHYvUN72g8lxlhCSimEkENOs8FMv5e/7y3p2787/uEHL/jKz7y3HH+w+dBL0kfiyQc+ffq2m591qL+2HbcG9aAtuWnHscpnt1O/PnTsymtKGPZS+PDdD9x+c391Y/vMZv8Zx69v2n5dtu+8886jh+qcSykh51BXsRmXVMecR+1ktLqxUkqJMcZYcniqbI4AACAASURBVA6h7o0nTZXS+mWrJYRbbv+K66993XNve9m5cVoP1c23veQFz/+qe+/+2Wsvq9q0mavBIFe5CZMq1r1+TjHn1JbQ78dhiKHk/se2j/7Uqfp0ezHfydlpLt2bG7r7+qYzvVn+pc5Sz9kmv+5Jnmn3x2k9Lp7i+ZQ419PEDwAAnojq23m7O/TbO+Ulxf0LPquUUr/X/uB3N2/6Kxfz+oNhuOM38ot/oQlnm/fddd+HPv7AZLLRjsZVaWKOKfaqfhiXrUnThLAW03o9GK0fbc+eCyEMnn3DrXVYnTT5k5/+1NHDqW1LDDG3oY6p5BBinIyHda+qqtTmHEJpcqyrVMqkX4VYqtWNQ1U9eOVr3/jcO15d6ssefPCud//u24fD8srXf1voP2e7zTGkUgZNHdo65zQpoY0lpJJW+nWdqrTVHHvbQ89462cusvrOPu/G+771m2Kv7qTakuqbHekyu8WhSntb+7pDv7mTPOdvcJgt8rz0b3Mw8QMAgM9TCqaUcs4hhGm4lFLC7u0ObSkpxpJS+81vaA6t1z/4tot5zaOfKS/7b+NP3pI+/qLNU2c2L9/YOHJo0IvVaDhJdW7L1rnNh8dnT6SNQ2/85m/70Pt/LPQ/dezwTbe88LVNFX/+7f9pbdD06no4DFUV42R6AWEpuTRNDqGq0iDFFEIqoYRYVkKObezXVT3YGI+2f+ln/vN7fu+XP3rvp2Laft4NV912262h/7zXvemf/NS/ffONV+ZQzo6blUEd6pR6Ma2urFR1VUpZ+9VH1n/z0Zgv9pv20Fd9+UOveXl3U1/YPZOzu69vb9bXeZOqvY9Nc7HafbDzgudf5PkU+Psm/AAA4AkqvemDEsJs0efCgs+cc5n2TBXaaWNVVf6614zvuLX+ju9Jjzx2wV8llXDdH+dr7xqduCl99GXnTm9tDfrV0Y1BbmIvrm2de+QPfv1ff+lf+ld/9ku/4vlf/JI0DGGtH+v1yXjzf/63H7/+mb3YhrqOuZSUQp6UGEPOYdBfaUfN9mSrX1fTQzrbNralqus82FiZ5CrVvV97xy9eeejBv/jn81p/rcqjd/zkd73/o/0Pf/Sey6vR9ccvq1fSah7369W1tSP9fr+Usvq/Tq39zuk4Lhf/Dbz3W77x7G3PTbMr2mOcv35v78a+7rEuO+PT3Vv89tZ0dhZ2Tqtv6SLPpX+Cwg8AAFiSfN3dfbMPzZ0VmULa3eKXQ045lVRCKSWkEEJ+zvWTt31v/T0/UL3vzov5FVMJV300X/Gx4cnnVB/7870TTU4prvf7vTQ59dB7fvC7X/vil3zdF7/iL9dH1sdNOPPIqe/8u19fN49ce8WgbUqVqnFTYhXLpEy/vnOb51K/3hgcyrk0bR70YwylrUIu1UpciXGjimk8HF757LRSDdvh6tqgmZz72KAdvfql60f7x+veysbq6tH11ZSqvDlZ/4lP9+/c/KySb3J4457v/Jb28PruLC4uLO9Me/v2qu5Sz+nlgNPq2xn6zdZ8prlr2w9Y5PnUmPjt+ysIAAB8Dsz+4V1K2XlcSgmhlJJznn6w5JJLntO27ezBZJJ+9h39f/dfPrtfN4YzV6aTN9efuaMfY4ixxDT51KOje+4LuaxN2uahh09efTTdfkM1CaGZlPGkN8w551ImpWnDpMTbb/8zb3jzD/d68fWvefELbq5WVmNuS9UPVUhXXnnFyrFXveddf3jXR+78ypcMBr1c9wZ5MtpYOdKGzaNHrzh+5PKV/qCUku7ZXPnlU9X92xe/sHPq5F/4kk+//tXTK9ofR/XNLfWsqumev+mDvSlhZ5tfSp0r/C7xkzyFHwAAfN7Cb6/9SgkhzLXfbgK2bTt9vNh+bS4fvW/w9//lxSz73F+Ap59dPfiC/tnrejGGFOOkHQ7Ho7PjYdM0gzada9vQps1Rnes83C6xDbmEcRuPPuPyyeTmHMt7/+87v+z5ayHGQR1TyinHQdXe9an68EZ7/Bnh2EpMeePQkfrooWNHN44M+r0YQ3hw2H/HyfqDZz+rEd/U5PDGJ7/pa8980c0Lg775wzjnrnCY7t+bO82lM+ubBl7VPdmls8hz+m4IYTbpC5fyxX3CDwAAPv/ht/P2PO03Db1u++Vc2txO2y9PJunn37Hy7//r4/tK2jpsXVGdua468fyVvF5NI3BrPJyMm83R+NywHY7areFk0oSmCTnEFEsIIaVQ13F1UPpViCFUVVhfqft1Wl9dOby+Mej3jh89tjM122wH7ztTf+hc9cB23Gwf3xd56sv/3ENf86qyOpgtwwy7Y7n9ybdzpsvsXr7OaS47VzjsXOG3V307pde5v2H6WiEsWeQp/AAAgM86/MKyBZ87iz1zDqUsbb825+kksG1zLrl86qGV7/o31b2f+JN8VZPVuHVVtX11PTxen7llJcaYOrvdUoxntkZbw0mMYZpLh9YGR9ZXd8ZunafV9271Pz3p371VPTBM59o/yZe0/cwrH3jT142vu6abfNO1ndM8CyHuLunsFuDemS67FzbM7vDbq77uPe8L1TfXefNb+4QfAADwOCNw/4LPWfuVXEpY3n4LA8D4rvetfv9bH8fKz6VyLzRrqTlUTY5UIYbmWD0+Xu8dfBJCiLHeyoNPjEKMaTvXJyZpnNO5/Kfyq08Obzz0hleffuFtsa67yddZh7kz9Jve2bCTfHO381WzW9p3Vn7u9uJs29/CrC+l+dM8n3KLPIUfAAA8CcKv86GLab9p8k3nfjsPJpP6t941+I//vXr0zKX7PXnoq19x6lUvDauD/cnXncktHfTN8m+2za/bgfPPW9zXt1B9obPI8ylTfcIPAAA+z+03e9ttv939fp32K3vHfZac250IzLMZYGma9FvvWn3rj19y+Xe+5Fuovu7Qb27QN8u6zlEuO3f1VXPndi5U39wKz31TvqdS9Qk/AAB40rTf7j/NFy54OKj9Ous/pzPA0kzq3/6DlZ/+lfq+TzzJf/vThZ1n7rg1rAx2QmtxyjfdP7h4c8N05Wbazb7ZWK97lMvFVN8Bt/Y9xapP+AEAwOe//UJnv1/Z/eAB7Te772GWfN31n9O7ANOd9wx+6TdWfufdT8Lf9ebzbjrx1a/Yvum6kKqFEV+n92In+faGfvv/27uofa/6Yvcol70FovOzvp3SexpUn/ADAIAnS/iFfXO/hXM+d3qve8972+adDYG5u+xzGn8l57y1XX/w7o0f/Zn645/8vP9mh9de9ejLXvzYi27Lhw/tJlfYN3ubXaW+c23D9HL182XfbKHnwvRv4fiWpSs8w+6VfeEpd3mD8AMAgCdp+4UDz/mctd807vaufJjN+OaTr22n48GdoWB49HTvA3et/sb/GfzRh57g3+Dm827afMGtZ158e3NoYxZ707ezsdusvLr7+rrJF0NcMunbl3+zJZ1p596/1Ln8ffnNDU+H6hN+AADw5Aq/sOyslzJ35Mt5r3qfrv+cdeDscZleAFhCLrlMmvqej9X3PrDynj9a+eDdn6Pf1LlbvmDr5uvP3fKc0XXXlJVBt6nmV1Tu9V5nBWa8QPLt/y+lKqUQY3d556zx0u4vMNs6GOZnfeEpeqCL8AMAgCd1/h3Qfjv9trvCc/ru7LiXMj8GLKV0x4DTF5g9Lk2bTj1SfeLB+qFT/Xs+tvLHH65On30cX3xz5NDW824aX33F+IrLt5/z7Obyo6FK+2tq98HegG3pOs/ZvQ1Lky/s3sI3HfrFGJcO+nYyb3pkTEqLR7mEp+x9fcIPAAAujfxbOvcL+457WbLss3PjX9k5DCZMD33Js2LcOx20lFDK7DV3D5dJj52Jw1Eppf7kQ/Hcufkvby9Qh19wfQihDPrt4Y0DcqNTViHMD/1msRcX72/YWeS5/0iXGGN3bWfajbuqqmLn0/Yv75w7vzM8jVZ4Cj8AAHiSht/scbf9wvw1D90tf7ManI3+SintbDnobMHnzrt7zy2z7gtlfrDYPWG0LC/S+a92SWnMN1VcbK24V3ez8jv/xO98ybf/QvbZoC/EZUe5hMVZ39Oh+oQfAAA8ecMv7J7zGUJYaL+dMty96aF7AMzeGHA+BfPsybv5N5v47Y7/Fgtwtz/n8vOCybev/eaCa27oNz3cpRuBu403vcthIfl20m638GbPPN+gL4Swv/rC02zWN1X7vwsAAJ4kphEyzapZkEwbK05bK8aU0t4wMIVYQkhpFmmplBhiSinnHGJOJeaYcso55+nnTd+NOU+TLsdUSokph33jvhJ2g2+vABcunzj497Jk6DftslnszV3ftzvi644Cu1O+2e1+e7c1xBA6R7bMPrJkfWd4eh3lsuSPw8QPAACebJbc77dbWt0tf7Me647+lp4Bk+eOhyl7iz93xn57E7/dN92h3+6XEcrs6wsXs9Rz1lxhFn4hdNKsW39747p9BZj22m7v3YWDOvcP+sLsfvawZHmn8AMAAJ5E7XdA/i0M6fL81Q/dj8yOAN3rw73lnnup143AEEIuOYTOcs8l2/yWJl9YiKu9t7uRFjorP2M33uL+od/elK8beHPJN7+jby/55rovLklT4QcAADx58q+70nL/6G9+gebctX8L+Rd2B4TzV0TsvHZ3DBj22rKTfGH+ZJcLld/u/rr50psf/KW9m/Y6c7zOTQznv4Q9Ll3bGfbt6FuaecIPAAB40uXf0rlfWDb6m+XfQhPmTvHtL8AQwsIYcOkvGhb3+x3QffPRNRdmccnEb3a4Z+c6vu4N7HE+C7svuH9t59Lke1rFnvADAIBLuP3CRez6C0tvadhd7bkvFEueG/GV7pkus7rbO/Fl2aUOB4zUYmfp5eKyz329d76B3tIPhu6OwQMHfU/b5BN+AABw6bXfkg6cz7/zTf8u+PHQPc1l2Q1++zf7HVQaC8U1f7zKzphuaQTuG/Et3csXF15Q8gk/AAB4ioVfuNDKz7A4vguzpZvdmwAXCjAsXBzf6cCl5bnwwYXEWrzOodOAsxScG9ydZ8/eRU35VJ/wAwCAp2H+hYXFnyHsH/SFztLQcJ5Z3/5zXOYLcF9jxLAk/5bdnN6NurCv+PZa8SIWdko+4QcAAE/Z8Jt9cPH8lc7HF48GnT03LE75Fl5n/6zvgAeLpReWXOAe9k747MbffPXNnjD/U93XOTj5VJ/wAwCAp2b+LZz+sn/6t9CB3RlgCHuBt/iEZTc3dD/lvKWxMJBb1mYL6zz3997C08KyvXzBlE/4AQDA0yf/lkzhOvkX5id7YcnBLbtPC+d5znm2+S0vjf23+S2rtW7vLcTe4ifOdaQpn/ADAICnZfhdZAHuvxR++S0R82O9gyPz4OvRu/c6dD64fHC3UH3hIm5jl3zCDwAAnnbhdzH51/2p8431Fj4xLDvKpbvgs9t182HW/WGv1pZvAlzovXDehZ3CT/gBAIAUPE8BLszuztOB4UILOy8mJQ5Yirl/src/9vZnoeQTfgAAwAUibcm//7t1t+w5F5N/BwfY8mWf+yd7+5Iv2Msn/AAAgM82Ai88uNu3HPRiPvHiw28x9i60blPyCT8AAODx5N/Sj88953zPf3zVcZ4cvPjAk3zCDwAA+BPl39KfvXApHPyEC6XaRZ7MKfmEHwAA8DlJwcd3lMufSumJPeEHAAA8cfn3OQ0/ySf8AACAJ28Enu+zHl+2iT3hBwAAXMJxKOqEHwAA8JTNP8kn/AAAAHjiJN8CAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCz7cAAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDw8y0AAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPAD/n97d/MieX7Qcfz78Huq6uqansed2ZhVMIdEN+RgjBAxhxwUclAjBA8eguQ/8JCDB0FQWC9CPAmCKBIxxGXJ5kkJISYYQcWExAgh5nE3y052erqrunuqq6qrfz8PNTvbOzu7zkaTdP/69YLdnameh50PQ02/5/f9VQEAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+JkAAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AF/8pQgAAGF5JREFUAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAAwg8AAADhBwAAgPADAADgJ6swwcPrui6ELoQQo2AGAADODAHzsA4PZ0fLZdeFEGLXdQYBAACEX990bRdCaNvjEEKM0SAAAIDw6134hS7EGILkAwAAhF8fTSa7MaYYY0oWAwAAhF8vZ4rp3ulO5zwBAADh19OlUooxqj4AAED49dD29gsppxic8wQAAIRfT+WU04tv3OeKHwAAIPx6aG9/b7FYpJxVHwAAIPx66NlnvzfeHIcQQuhC8L7tAADA2RO/893vWeE13N6+1TRNVdW5yF0Xcs42gfPpmS/+wfLg+yGEXI0vPfbLVx97x6VHH2+GFy0DAJyB8PvSl79ihdewvzcpy6osy5SL+7dz8hPOk9v/9nuvfLDeevPb3/OHg9Fl+wAAp5mjnq9lZ/sHIYQQQwih67qua09+tOuc/ITzbjH5+hf/9re/9ZWPmwIAOM0KE7xqE6eUci7vqmJMXdvm4v6XeInBdT84777zrx+6+c3PvPO3PuQgAABwOjnq+ap+/ufe8u1v/ff4wnhjY6OuB+3xqqqbe014sg9tBedE27Z39m698P2vPvdfTy2n37jvo2942+++5Zd+x0oAgPA7M4qiOLwzGY/H4wtbm6NxWVXrB1+t9OQfnDdf+5e/vvm1v7nvwV98759fuPom4wAAp41cebAb1x+JMeaU10W3Wh2tVqtXHVH1wfnz+Dvf//iv/sl9D37pkx/s2mPjAADC72y4eHErxBhTiiHFFFdHR1VVrj/Utq19gBDC9Z/5hfva73i5d/OZL1sGABB+Z0BRFF/4/GdzTCHGlFPXdiGEtvUansAD2u/Sz/7myUee//onzAIACL8zYH3OM6aYUwoh3JkdrM95utYHvNLb3vWBk1/deeafbQIACL8z4OLFrRRTzjmllEI8Xh0Ph8OXJnv5HX1u8INzLpeD629538lHlvOpWQAA4XeqFUXxD596OqYUY0o5310optC53Ac82E+/9WWnPVeLmU0AgNOVOSa4z43rjzz3zDdzTjnn0IbJzm4zGHRtGwpbAQ+2Mb56+R1/+tIT6+CyTQCAU8UVv/tdvLgVYyzLqiiKmGMIYXM8jifOc7rTD7j/mTQlp74BAOF3ZhRF8fTH/j7nHEKIIaSUYg4hhPU5z1d+YudTPWCtdCgAABB+Z8WN64+kmFK+a+f29t2JYhJ7AACA8OuDixe3cs5lURZlGVJKKW9duJhSSlHvAQAAwu/sq6vqqSc/knIuyiLFlGKKMaz/FWJyzhMAABB+Z96jj97IORdFEWMqinIyuZ1yIfYAAADh1x/j8WbOuarqsixzijkVly5dzjlHr9cHAAAIvx4YDJqPfuTDRVGURVEURc45pphSXt/g94DhpCAAACD8zpZHb9xYv5JnUZYp593pbs75bvO9eIOf2AMAAITfGfbxj310uVwUZVkWZc5FTunK1Ws55/VFP/sAAABnl3ccDiGEwaCp62a5XEwnk+PV8XA43BxfSCnFEJ3zBF6vL/zVe4wAAJwS19/07sff/fsCJoS75zzTI49cv/HoG37qjY/t7O4czu4c7O8fHs6c8wQAAM66osjZCp/+5FMbGxsxpqqqiqJ47LHHHn30jXXTLObz1eoohBBDSFVlKODVpJzvPZ3+yvs/VdeeMQCA0xR+165eOfftW3zj60VRVs2gKYsyxhRjzkWZUhqPx0VZpZSOlsu2be99e79vgPtcvrTVHt97lvAXagDAKaseE4w2R0VRVlUVYyqq6mB/b7gxLIqcYgrx7vHOumkMBQAAnFHuWwtPPfl3ZVmWZbWxsVGVZQjh0uUr4e6bONgHAAAQfmdcURR13ZRVtb7it7+3V1V1SkXOOcWQtB8AACD8zrrR5ijGWFd1VVVNM0g5X7v+yPq6371zntoPAAAQfmfYJ55+cjAcllVd102MIeWUUhFTLLL3bQcAAITf2VdVVVXVMca6qqq6PpzNqrLM6aULfdoPAAAQfmfbaHNUFMXm5riu67qsQwhXrl5LOaWUUy7u5Z/fJQAAgPA7qz79qY81g0EIoW6amGMzGKaU7x3ylHzAw+vazggAgPA7ddbnPHMuRpubZVXNZrMQQs5333ZZ9QGvL/y6l8IvxmgQAED4nQqjzVFd1xsbG009KMsyhHDtkWsppZSLlLyeJ/A6HB8fv+yJ1VMHACD8TonPffYfQwg5F2VZlmU5aAYpOucJ/DCWi+W9L1dVZRAAQPidClVVVXUzHl8YjUbNoJnduXMy9oqi8DsDeHiH80PhBwCcZue0cEabo7puBoNhXTVlWR+vjre2LsYT5zxd8QMe0mKxOFoevfSsWvqbIwDg1DmnefP5z32mqeuyKOqmLoq8vsfPG/cBr1fXdZPdyUtPqSm54gcACL9Toaqq8XhrMBwMhsMQwnKxyEWRC9f6gNddfbu7uycfGV8Ye0lPAOAUOo9Hkkabo7qp67qpqnowHB4dHQ2HG+lF2g94GEdHRzs7O+HEu/dVVVXXtWUAAOF3CsTw5f/49wtbW3Xd1E2dc9F1bUrROU/gIbVtu7+3P5/P73v8wtYF4wAAwu+0KKsqhLBcLMqyPDo6DiHEsAwhxBRTTG3XpqgAgVf0XtceHh62x+0rP1RV1YWtC/7yCAAQfqdGF2JM7XF33Hbz+bxtQ1EUi/nCIU/gh7M53hwOh3YAAITfKfLss98dNMOiKIuiSKlo25XYA16v9at31k1dVZXnEADgDITflatXztUv+PDwTlmWG6NRVdUpxhhjynn9Knxeiw94yOrzdAEAnLHwyzmfq1/wYDAYDIdVVRdFbtuuKIqUUtd1Po0DAAD66nydUHruuWerqi7LMuecUs45r89oqT4AAED49cT88HB1vMope/MGAABA+PXTpUuXY4yr4+OUYgjhvB1zBQAAzqdz9Kqe29svNM1gUBR1XYfgbCcAAHBenKMrfk09yDmv35zdTX0AAIDw66GYYk455eRyHwAAIPx6aDqdrO/oi9FrugAAAOfLebnHb31fX1GWwTlPAABA+PVSSrksi65TfQAAwLkTu67r/S+ybduUUte1znkCAADCDwAAgL5xBQwAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAEH4mAAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAgPADAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAAD/J8UPbv7ACgCc1T/GiqIoivseyUUOIcQY1x/KORsKgPP+J6YJADi7VqvVarV6mG9ZVVVKqazKlFJZlimlGKMBARB+ANAfy+UyhDCfz08+2DRNWZU553UKWgkA4QcAfTOfz0+m4LoDq6q67/goAAg/AOhhB1ZVVTe1CARA+AFAby2Xy/Xp0BBC0zTNoKmqym2BAAg/AOine1cCi6IYDAdN07ghEICzJd58/qYVAOB1WRfgYDBwDRAA4QcAPVdV1XBjWNe1KQA4zRz1BIAf3r1bAUejUTNovFk8AMIPAHrr4ODg4OCgKIrR5sgFQACEHwD01mq1muxOUkrD4XC4MXQHIACnhHv8AOBHZTQaDYYDLwEKwE+cK34A8KOyPv/ZNM1oc+T2PwCEHwD01vptAOUfAMKPH5WuPY7JJxkApyj/xhfG7v0DQPjx/+Y/n/6dEMJbf/3DpgA4Vfk3Go289AsAP05uNweAH7eDg4PtW9vz+dwUAAg/AOittm2nk+mtF24dLY+sAYDwA4A+59/Ozs50Mm3b1hoACD8A6K35fH7rhVtOfgIg/ACg56aT6e3t28fHx6YAQPgBQG+tVqvtW9uz2cwUAAg/AOiz/b19l/4AEH4A0HPrS3/u+gNA+AFAz00n092d3a7rTAGA8AOA3loul9u3tlerlSkAEH4A0Ftt297evu0VXwAQfgDQc/t7+459AiD8AKDn1sc+27Y1BQDCDwB6q23bWy/cOloemQIA4QcAfbazs3Pn4I4dABB+ANBnBwcH+3v7dgBA+AFAn81ms92dXTsAIPwAoM+Wy+Xuzq6XewFA+AFAz9vv9vZt7QeA8AOAPlu/w7v2A0D4AYD2A0D4AQDaDwDhBwBoPwCEHwCg/QAQfgCA9gNA+AEA2g8A4QcA/O/tZwcAhB8A9Lz9dnd27QCA8AOAPlsul9oPAOEHAP1vvzsHd+wAIPwAgD47ODiYz+d2ABB+AECfTSfTo+WRHQCEHwDQZ5PJxBs8AAg/AKDPvMgngPADAPpvtVrNZjM7AAg/AKDP9vf2V6uVHQCEHwDQZw58Agg/AKDn2rbd39u3A4DwAwD6bDabLRYLOwAIPwCgz/ame13X2QFA+AEAvdW27WR3YgcA4QcA9NlyuZzP53YAEH4AQJ9NJ9O2be0AIPwAgJ63nxEAhB8A0GfL5XI2m9kBQPgBAH22v7d/fHxsBwDhBwD02c7tHSMACD8AoM/att3f27cDgPADAPpsNpsdLY/sACD8AIA+m0wmXdfZAUD4AQC91bbt3nTPDgDCDwDos/l8vlgs7AAg/ACAPpvsTtq2tQOA8AMA+mw6mRoBQPgBAH22XC5ns5kdAHoj3nz+phUAgFe6cvVKztkOAD3gih8A8GCT3YkRAIQfANBnq9XqzsEdOwAIPwCgzw4ODlarlR0AhB8A0Ge7O7tGABB+AECftW3r3R0AhB8A0HPz+XyxWNgBQPgBAH22N91r29YOAMIPAOgtBz4BhB8A0H/L5XI+n9sBQPgBAH02nUwd+AQQfgBAz3l3BwDhBwD03Gq1ms1mdgAQfgBAn+3v7a9WKzsACD8AoM8c+AQQfgBAz7Vtu7+3bwcA4QcA9NlsNlssFnYAEH4AQJ/tTfe6rrMDgPADAHqrbdu96Z4dAIQfANBn8/l8Pp/bAUD4AQB9Np1M27a1A4DwAwB63n5GADjN4vOPvd0KAAAAvdT8xq9t/dkfueIHAADQc8IPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAAAAAADAKZa2ihBCCN0J1+LLv/5qPpjW3y7HEPKJ73MthvDHMYQXf5zHUwgv/vOgH+fFx1/r530ihfBkCuGrKYR/SiF84O73Obz7WNd1XZ1C+IsH/BxPnHjsiRTCu+5+/QMphL/M6y8/kV7713wjhfDeFMLJ/745rn+sx1MI3w4v/T98O4Twvrx+/H8Abotgw1031cwAAAAASUVORK5CYII=)
99 REVISTA INVESTIGACIÓN Y DESARROLLO I+D
Artículo recibido: 23/02/2023| Artículo aceptado: 28/05/2023
Mónica Jisela Lascano Pérez
Sonnia Paulina Altamirano Carvajal
VOLUMEN 17 | ENERO - JUNIO 2023 | P. 97 - 105
Methodology and Materials
Some strategies are commonly used to improve students' vocabulary learning, including role
play (Formadon & Sidabalok, 2017), which is a strategy for dramatizing real-life situations that are
represented in the classroom. The tasks framed in the role play strategy should be close to daily life
so that the participants can be effectively involved with the role they are going to play (Cuitiño et al.,
2019). According to Alabsi (2016) role play is considered a useful strategy to enhance vocabulary;
learners feel engaged when they are immersed in typical situations (Arciniegas Paspuel, O. G.,
Álvarez Hernández, S. R., Castro Morales, L. G., & Maldonado Gudiño, 2021).
It is important that students who are learning the English language have a vocabulary according
to the level at which they are, in this way they will be able to have the required basis for the
development of the four language skills (reading, writing, and speaking) (Rahmanullah et al., 2022).
Vocabulary is necessary for reading words, constructing written texts, and establishing interactive
conversation (Babayiğit et al., 2022). Speaking is considered essential in the teaching-learning
process, as it allows sharing and constructing meanings through both verbal and non-verbal
symbols. The oral component is currently considered to improve students' communicative skills as
it relates vocabulary and fluency in a speech to the acquisition of English as a second language
(Neupane, 2019) (Fatwa Mohd Razali & Ismail, 2017).
Within the paradigm of constructivism, where the learner is the protagonist of the training.
Role-play is an active learning strategy in which a real-life situation is simulated (Alshraideh &
Alahmdi, 2020). Students can learn difficult concepts by simulating a scenario where they must
apply those concepts. Active learning is an approach to teaching in which students participate in
the learning process by developing knowledge and understanding (Cambridge Assessment
International Education, 2019).
This study aimed to measure the effect of the application of teaching strategies based on
role-play for building up vocabulary in young adult learners of EFL at the A2 level of the CEFR.
Based on the above background, the present study originates from the following research question:
How does the role play strategy contribute to build up vocabulary in young adult learners of EFL?
At the same time the alternative hypothesis is “the application of the role-play strategy builds up the
vocabulary skills of young-adult learners of EFL”. To contribute to vocabulary development a
proposal was implemented focused on enabling students to work on speaking skills, especially in
vocabulary criterion.
A sample of 48 students at A2 level were made up of two courses enrolled in the regular
modality at the Language Center of Universidad Técnica de Ambato. The sample was divided into
two groups of 24 students each, one experimental and the other control. A quasi-experimental
research design was applied because an educational intervention was made in a group of young
adult learners, who were part of an experimental group. This intervention was performed using the
role play strategy to build-up vocabulary. But simultaneously, traditional didactic strategies were
applied in the control group. At the same time, a quantitative approach and a relational scope were
applied.
In the beginning, an evaluation (pre-test) of the vocabulary development of the students in the
experimental and control groups was conducted using the speaking section of the Cambridge A2
Key English Test (KET). The test is composed of three criteria which are: grammar and vocabulary,
pronunciation, and interactive communication. Subsequently, a proposal through classroom
lessons based on the use of the role play strategy was implemented in the experimental group.
Finally, another model (post-test) of the same speaking section of the Cambridge A2 Key exam was
applied to measure the improvement of speaking skills after the application of the proposal,
especially in vocabulary to analyze the effectiveness of the role-playing strategy in A2 learners.
The proposal was applied in three weeks, students worked in pairs or groups of three
depending on the activity; first, they read the vocabulary related to each activity and after they
performed a role-play. Learners were approached to three activities per week according to the
Cambridge Empower A2 Student Book (Doff et al., 2015). The development of the role-play was
semi-scripted and based on the vocabulary of the activities in the student's book.
The proposal consisted of nine activities as follows: Activity 1: Daily routines, (p. 30 - 31),
Activity 2: Talking about technology (p. 32 - 33), and Activity 3: Making arrangement plans (pp.
34-35). Activity 4: Buying food (p. 41). Activity 5: Cooking (p. 43) Activity 6: Ordering a meal in a
restaurant (p.45), Activity 7: Describing family´s picture (p. 60), Activity 8: Learn to leave a voicemail
message and ask for someone on the phone (p. 64). and Activity 9: Talk about past journeys (p. 70).
In the mentioned five activities the students worked in pairs, and in the last four activities students
worked in group of three. A grading rubric was developed for the evaluation of the role-play
activities directed to measure: accuracy and believability of the role, clarity of speech, expression,
body language, and overall impression. Reinforcement vocabulary activities were also applied
using a free website (e.g., https://learningapps.org/watch?v=pij1qgis321).
The Cambridge A2 Key test assesses the ability to communicate in English in common and
simple situations. The vocabulary assessment measures the degree of control of simple
grammatical forms, it is expected that students use a range of appropriate vocabulary when talking
about everyday situations (Cambridge Assessment English, 2020). The Cambridge test score for
the Speaking section was out of 15 points, with each of the criteria (grammar and vocabulary,
pronunciation, and interactive communication) being evaluated out of 5 points according to the
rubrics.
Initially, the speaking section of the Cambridge A2 Key English test was applied to verify that
there were no significant differences in the means of the control and experimental groups, for which
the Wilcoxon-Mann-Whitney test was used for two independent samples at two tails and with a
significance level of 0,05. When the test was applied, a W-value equal to 300 was obtained, which
represented a p-value of 0,808, which is greater than 0,05. This result showed that both groups had
similar averages during the initial evaluation (pre-test). In that sense, the control and experimental
groups had similar performance in vocabulary assessment.
The application of the proposed use of role-play strategy in the experimental group was well
received by the young adult learners in the sample. At the same time, the KET test was applied
again at the end of the educational intervention to assess the effect that the incorporation of the
strategy based on the use of role-play had on the building up vocabulary ability, and the results of
which are shown in the following table: