UOP staff
ΝΟΚΑΣ ΓΕΩΡΓΙΟΣ
ΕΡΓΑΣΤΗΡΙΑΚΟ ΔΙΔΑΚΤΙΚΟ ΠΡΟΣΩΠΙΚΟ
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8p8+gqP/AISdjlvJk5rcbRYixytJ/ZEartAwKV4hdIwP+EjkPIgkxQ3iOVVyIJD+P/1q3xpEXdSaa2jpu4zj0pe6PnRz48SSMMmBwfT/ACKbJ4ibj9035/8A1q3m0dB2NPXS4/LX5AfqKm6QcyZzv9vyjpC5FNPiCb/n2kP4/wD1q6JtMiZs42+wo/s1FXjOKOZFXOc/4SC4/wCfZ/8AP4Uh124P/LDH1610Js0HHNH2BW5Cgj3FJyQm7HNt4guVbHkCntrl0ACIVOa35LBGwMKCPak+wR8ZAP4UuZC5+xg/2xetkiBaYuq3sgP7lRXSGzTnAAH0qL7Esee/4U+ZBznO/wBqXg/5YrTW1K96+SvNb/2MHoP0o+xqcdvwp8y7C5zDXUr1RjyvyNP/ALRvCmduPatz7Mvt+VNa3HTj8qTkuxUZu5g/bL1uaT7VfNkbc+9bn2ZVX/61OSMKOP5VDkiud9jAS51A9FGKGl1Hd0Fbv2cbs5/SnfZ1PU1PONS8jnjcaivH9KTztRbnFdIIVHGf0pjQruNLmK5jnTJqXY4pG/tAgEtz9K6LyVpWhj29Kakg5jm2OoMvHB9aYkeornc+78MV0giXHA4qN4l3HtTbQczOekW/24XgVTkh1FmPzV1LxLjrUDQjrms3Ow+ZnNfZtQ/vVHJaagc/vGFdNsFNaMHvio9p5D5mc1Db3/QytkVYW1vGUEzNmttYUUknmpFjTbUup2RUXIw0sbotzK/51aTT7kqP3rfnWqkaZqcItJSZfMzGGnz93Y/jTG0+fd94/nW5tXNO8tfr+NF2HMzBOm3DLjzGH400abOqgGRiR3rolVAOlNZMtweKOZhdmC+mzMv+scfSmR6ZMq/61zXQFe2KaAelHMO8jCGlyYOXkJ+tN/sV9n+tbj1Ga6Hyz60jqVU1UWwuzmv7NdmwGIxUn9klm+YsTWpDGWmY1YZfnJpyYm2Yh0Y9i2KeukkKBk1tbsUm4ev6VF2LUxG0j5jnJpV0VepDfnWyf979KUY9f0ouxNsxm0tfu5bH1pn9kR/7X51tNjPTNG1NuT1ouJNmI+lADjOKgbSF6nOa3ZDxwOKjOCMEc0Dcu5hPpMeOpqnPpiLu5zXQzbcms+8Kqp/wqoyd9BX7Hnfia2EcygHANd/+zipX4paUeu2OVv8Ax3FcJ4rkDXigDivQP2a+fifZcZ228zfkP/r161FdWZ1HofX8Y2xoPYfyobrT0TKjmkZfm61uK+hEyZOc05RgYp22koA1PBfjzw34f8SandeIPDlxrej30Y8uGKJJDbuGznaWGfTt613OofG7wZZTCTw34CJd8l/7UgWONfoAWzXztZXkyEllACt6rk+x9atLqUsbFREpVjkgkkfhXVFXepzSs9Dv/G3xKTxjaLGvh2z0O9jk3LNYKNpGemMCp9R+Imk6pY2kK6TeW0tqyyAxSpsZwADkEDIJ5x715leyTM6tsyh6gGq7XMsBDBd2exAx/KtNFsZ2R9F6D8fPBVvZxvrPgm6udVUHFxb2kboxycZO8dsDp2rG8VftDXWuW0llbeHNMtdPk4ImgKzY+qvgfhXiqahPuyIkA9gBmrSyS3SjZGsY9F6flT5Y7mTudd4U8d2XhnXpr260t9SsJYPKeBXDFHzkMNxyeOMV3MPx+sLGazEPhyb+yhL+/sXijLODzkHPHXP414hdbo42TGCOxAx+eKpQ3F3wBs29txBH4cU7R7Fxk11Pq63/AGsPC+n2jxaL4N1O1ly2N0EUQBye+TmvCPih8RtZ+IhKarIn2ZJN8cQhRGUehK9a5FbqeEkGNGP97v8AyqnftcyQllXce46VjKnC2iNudy0Zm3GxGPAHsKj3enSsa/a/eRmRSF7Cqyzant4HFebOnruNLmOkX5u+KZv+bFc41xqSk8VF5mp5DZ61nyWL5bHWA0eYBxmuWM+orwW5+lRtNqjNkHIqeVjsjrfNHrR9oUcYzXI+ZqtB/tUjOaOXzDRHX+evpSecGb0rkd2rKopd2qK3Lc/SjlYXR2AnVeCeacJlPeuP3am3NNZtUDfex+FVGJDsdg10F96d9sRVAI5rimXVWAIb9KMaqy8nmr5PMjQ7Vb4bRjGPrR9u9ifoK4pYtSxy5zRt1VeFdsUKmHMjtG1AL/8AXqje6gryRngkds1zDR6o3Vzmo2hvtyhhlj/FTdNFRkrnapfFlAxn3qRb4KMHOfpXEpb6ozcM2PrTntNU3f6xs/Wo9n5luzO0/tAehxSNf7umfyrjPsepRt80zn/Zp62uoyE4kZR9aFAXunX/ANpKnBP50xtQ3dM49q5M6fqLclyaabHURwJWA9qrkD3Tr1vPlAyfypv21F4JOfpXI/YdS/57sPxpraXqLHPmsfxpOn5h7p1rXydeaQagvriuRbSb5uszg/Wk/se+Vf8AXOanktuykonXf2h+NRtf/MeSK5QabfDgyyfnTW0u/Y5Ej4/3qVl3HaJ1f9pIOGJzUcmoIOQRz6muXbSbzq0j5+tJ/ZNyygF2/Gmop9RPlOo+3I3OR+dMkuV+9u/CuWfRblmJ81x9DQNDucczSfnQ426k6HSfbR60v25VHWuYOgXBP+ukH40v9gzbcGaTP1pJLuLQ6T7crDqB+NMa9VV68etcy/h2XOfNlOf9rFL/AGDMF2+bJj60+VMR0S30OOX5oa+j6Bxiuabw7LwfMk596d/wjb95ZM/WocIlRNx72MMQXX86Vb6Pb/rVH41hf8I2/aRj9TTT4ZyeXbNLliVdG819DnmVSfrTf7Qh/vr+dYg8N4/jaj+wNvG5qTjHuLQ2/wC0IAM+Yv51G2pQN/y0X86xm8Oo3VmzQvhtFUDLGpsu49GarX0K9JVpn9pQ/wB9T+NUP+EfQJ/FTP8AhH4/9qj3e47I0/7St+8ig/WkbVrVesgz9azP+EdiP9786X/hHotuMNS90eiLzatbsuQ4xTBq1uP41/Oqv9gxKmOaZ/YEB67s1Puj0Lv9sW398fnTH1q1U/65R+NV/wDhH4uwOKd/YEO0AqM+4pe6LQm/ti27Sg0w69aqxUvmo/7DiLYC4HtR/wAI7DuyUyafuj0HnW7T/nrj8KRtctAP9Zx64pp0SBeNlNbRYDwU4p+6AxvEFqv3ZSR9KY2v22N24/lU6aBbYzs/DFRyaTb4wIwBUuwaFc+ILZh94ikOvWoT7xJHtUi6NDt+4PypraPCuflH5VDsUmio3iW1Xs5+gqKbxJbKc/Nz7Vc/sOF8HbTJtHg6FBx6iobSLTXQgXXoXUEA4pf+EghXjDVYj0qHaP3Y/Knf2XF/cH5VLaZVyGPXoyAQpP41KNej/uNUsenxYA2D8qmWwjVcbB+VJWQ7oq/2/FjGxs09dXBQEA4qyunR7t20fTFS/Y49uNgFVdDujPOrjqUc/Sozr4U48qT8q02sY9vT8qRbFAo4qW0O5l/26W5CMPrT49WZ+djn8K1Vs49v3R+VL9iQHI49hQrBe5ltrTIceVIfwpJNcbbjym59Tj+lajWaseuKZJZoFOQD+FVzJAZI1Yx8hCxPvSrqkjc+UR+P/wBapIoUa6KEDj2rUNkuMDA/Cr0Ym7dDIbVJl6RMRSDV5j/yzOfQ1qfZwr46/Tinm3T05qZJdCVLyMn+1Lj/AJ5fr/8AWpf7Tn/55/rWp9mQ9Rk/Sl+zR/3agq9zJN9M3OzH401r6foF/Wtf7NH/AHaa1qg5xTTQmYct9djgLxTTcXeM4raaFTjimyQinoTexhvcXLDkc1QupbmTcMYxXRyQjbnP6VRuIwFaqVrj5r9DzXxHvF0m4ZNemfsxqD8Srdv+nS4/kK878Wf8fwXHQZzXov7MK5+Jlqn960myfTI/+tXrUnoZz1R9fr8qCmMcnNPX5olPqM1HWxmgpNtPVMjOaXy/egor+Kta8L6zYfZtK8JxaNdLJvW/W4LkgdQU2jr9a5NmRuc/nWA/iKKRuZhx+tQf29bAbfP5rR1F0MlRd73OmMysuD0FV2ki281zza9AvHndaj/tm3Df67P4VPPcboyOmgZZH27gBW/pGlm4vIoEkjHmfxMwAFeeNrltgZlwKcniK128SZHqSc0c1iHRb3PZtQ8HS6Lam5naxuExnak4ZvyrhtSvra4c+XbrBz0rlf8AhILRV+Vj+LE1A2vW7Z/eU+cx9hJPc6UTJjkjNDSLtOHwD7VzH9uW3Tzuaa3iC3XjfS5my1TaNa6jj7EflVI28f1qk+uWxwTLUb69annzKykro0jGxeMSnpx+FMa1Vsc/pVEa5anpLzR/bdt3kxXK4yRdi/8AZU9f0pRaJjr+lZ39uW2TmTj1pv8Abtq3Ik4pcsuxDSNT7In979Kctui9s1kf29adPO59KX+3rcdJafK+xJs/Z0YD5cUv2aFicrzWL/wkduvHnUi+JLXcf3hPvTtLsBtrZxMMjgU8WMGOetYX/CSWqYG/P40HxLa5x5hz6UWl2A2zaQq3Ximtbx7uKxD4ktv+ehFH/CS2v95j+FOzFy82huCwhbknmnCxiA+9+lYf/CS223O8/lTf+Entv7zfgKaiw9n5m9/Z8B75NOtdBn1K5MdjYzXskQy6wJu2g/dJ9MnI/CsFfFFsmWJcj6VueG/G1pY+ILET6xf6Jpd0SlzcWKN5pwMpwAc4JP51oqbk7JDUEupr6L4Tu9aBOnaPqWp7X8t/sdlLLtb0OF4q5q/ga90pVe80XU7Ed2urR4wPzrZsfG3h3wt4qsbfQfGfiCz8NX2ZtUvYIZI7hWHCn/VnPAHpXoGseKvgzrFiyal8SfHOpKTxDcGZlz2OPIH866Pq80r2MnLW1zxCHTIZrqKBYpJZJSVRUTcWYDOAK3rf4aa5NGJY/C+uOGGRs02Vh+YUiud1DxLpul69dX3hq/uRaWbZtLuRSJFbaByGA755xXs/w7+NPhPU9HtpPEXxJ8aQasUxcQ2gfylYEgbSIz1AB/Gj6vNborS12eZXXw51+FSZfDGtwDqfM06UY+vy1zz6dHHIUbKMpwVkRlb8iK+jdS+JHwxvLdxN8SPH86EY+Ukg/nDXifj7VPh9EFk8Ia54g1G9L5ePVICAV7tkKP5U3h5tbHO5xfUzLPwvLexmSGxupox1eOFm/kDUx8JXSBs6bert65t3A/UCr/g34zXvhq+itRrl7pul/wDLV7KzjlkTPP8AEhPOc8+teyt8ZvA2rWYi1X4heOHGOfJsVi/URYrH2EzojGFr3Pna40/yXYNE0RH8Mo2n9aSCxWZvkQuf9nB/ka9A8Z698Jp5mnsfE3izUL5h8o1GEYc4x12D+VcBpvjibRZDPYXNxHJuONsKlsZ442mr+rT6k6JllNDlf/lxuj/uwMR/Kq9xpKQ5aWOSEd/MQqR+Yr1nwr8YreewjGt+LvEEL4O+O3022AHJxgsm7pjrVPxH48+HGpiRNQ8VeMbuPbu2C1hRQfqqgVX1SdtBOpGO55LNbxrjK7VPRm6H8aqSQJkkA49+Kf4t8SeHEvLdfDz6neWzDM7agg3D06cdK5p/EwbJKyHk44/KuSVKcXZouPvao6FY0x0oaFOuM/jXM/8ACUIvBjkz9KePE4ZeIZMVHs31Ks+p0Yhj25PFNMadulcz/wAJUMYNvJn/AD7U0+J+M/Z5KTpt7BY6SSFGPT9aXaOw4rl/+Eoc9LeTH+fam/8ACUv/AM8JP8/hU+zfUZ1LRq2OKayDr0rlm8VS/wANuzH0LY/pSL4mmkHzWrq3s2f6UvZt7MaOjdRuPWk6d+K57/hIpV48hvxP/wBamSeIJW/5YMP+Bf8A1qn2T6l2R0vy/wB79KY5Ud8/hXNjXLgLkQsR9f8A61NbXrnb/qD+f/1qPZ+YrI6QBGGflz6E0jYU4zj6c1zH/CQXQ+7B/n8qUa1dyZJhOfb/APVR7N9xqx0ucr1FRt8vdfzrnhrF32iA+tI2rXjdIlJFS6bWxSOjwO7rTTj+8v51zLa1f5/1Cil/tS+Zd3lKPwqeSRVkdLuTGCRmhduOCuPrXNDVL/H3F/Kl/tDUG58pT+FLlcdxWR0TOAeq/nR8rck/lXNNfahu/wBStKt1fsMkbfala4aHSghT1pGlG7rXNG6vwaa1xfk9P1p8o9DpGkTrjNM+V+elc60uolcgfrUXnamOnFK3mJnUBgq4qCRQSQOa5xpNUYYzimp/amMdfehrzBeZ0q4VQNpNQXDAE8YrB8zU+/BqOYak38VRyvuXobqyjb/9ao5pFzyD+Vc75OoHq7Z9jiopba/PPmsPbNS4eY7o6dWCqBgml8xc46Vyy2eoycidgKlSyv14aYk/T/69Ry+ZSaZ0yyLu6H8Km8xfQ1zC2d9u/wBc34VYXTrplyZnz9aOXzHdI6JZE2jrS+Yvoa5z+z7of8tX/OpF0+62j98w/Gmo+Y+ZG+ZkxjpTfOjXgmsFtKuGbJlfP1pP7JuP+ez/AJ0+TzHdHQech6E/lS+Ym3OT+VYK6ZOqgGZ/zp66bOM/vXOfejlXcLmybhMZyfyqJ51ZTyB9TWOukzr1nel+wyruBZj71PKu4cxoQLEsm8kbvrVo3SbsZX865+OzkdigZhjvUg0eQ8l2zVrTcLpm2Zowcl1z6ZprXUWeXA/GspdHbqSx/GlbSju4yKHZiNL7VH/eFNN5GD1H51njTWAxzR/ZRbnmkkurGaK3cTdXAprXkLfxiqS6XtzkEmo30U9QzD2qrR6ArF77RH2cGopruJcZcVVXTQgwck02XSldQcGiyH7pLNeQhPvis+4vIih+anTaau3BBBqlNYhU2gcVSSMuZXON8TyLJegrzkYr0j9l9f8Ai5gyMFbRyP5V5l4gjCXS44wa9T/ZfiLfEqRs9LJu3ua9KkZ1HpofXMP/AB7oMdFAqIruOelPi/1S/Sjb710AlpcRRgYop22jbQNeZ4evh+IdjUbaDGrHCn61ubj7fnRu9Tg1ye08zH3uhh/2GpAyuTT/AOwY2521rmTB605ZOKPaPuO8u5ht4fjbgkgemKF0GNRgLkVu+Yvfbn60jOvUN+VLnfcd29zHXQY2UcYpp8OxjH+FbAmpGmLYo55dQ16GO3h2JT7+uKY3h9M9M/hWy02Tzx+FKsox1p8zJ1MU+H4yPuU0+HItuNlbplGM5pPPGAaXMw1MIeG4R/BzSf8ACOxd15roN/pmmswzycfhRzMNTBHhuM5O3IPtSr4ahVceXW6ZlTAzQZvTmnzPoJ3MP/hGrcDPl80L4chb/lnW55/GMU6O4jQDPX6Uc8iTBbwtCT/qs1JH4XiUD5MfhW6btex4+lH2ofWjnkIwJPCscjZEdKvhONskJg/St77dt4xS/bDy3rT5pDOfHhlM4KZPrikbwxGGPyn8K3Fuju6083Q780m5CMH/AIRePYPk/OhfDcYUDYfwrca67A4FN+0H+9SUpEu5kL4bjA4Q5+taOl2cmkaxZ6jCGSe2JdG5K+nI/wDrVZF0VUfNVmyufMcAsVP+ycZ+tdFKclLUzkpWPYU1TXbbQn1a38S6XeXUcAYWcSA3D57bSMHH9K6Sxm1vxHokD3XxE8NwB4wxtblgjpkcqRgcg15dY3LSWiOWVth3HoDx06Cu18N6J4v+KWlDUobi1urSF2gjDsIXUr2wBz0617sZtxPL5akp6M8u8aeCY9L1JY11ey1ozMWZ7M7lTnOAec8+9dx8OfE3iy8MsCeONP8ADkduBHH9tjhUMoHHJH9K5fWopLe5lRi0csbFWUcYYcHqMkZzVazmaT5G2lQc7TnaPoM1zc0ubU6+V8tr6nvrNr8keLr4v+F545B/y1MIP8hXk3xO8Bo8b6nL4w0XW7kfK0emk7iP+AnFavh+31v4gSNpFhDpzzQRebumURfIO+8tyfbFc34r0e58K6tJpmpJDFfRorL9ndXDAqGGWHXgj6dK2c3y2uc8Kc4K8jG8K32teE5mOl6kmlxTFQ8j26TbeBzhhn9a93sNS1q6tVF78ZNDtY9gP720hUjI6dRXgkN2FkVw2G9QP5+tdboOsXOpQ23h+OCymhu5PKja4hwfMJzgvuGBz1xWdO99TS8/sHQ+N/AOl+IFW6vfivpupzxDMcUNtGCfbh68p02C88O6mbrTJI/PifEUjRqwPqcZIrufH3g/VfAKW/8Aa4tY1mbZH9iuPM2445weK4d7wtJ8sm9gfvbif51rUsrak8tW/vI9s8F/EDxVex7bvxxpOlxqQAtxYIBzyf4vWtfxMNE8V2Fxa618WvD4Ei7XEOloTn/e3V45pfjBdFsGjfTtL1GMHcTfWxlaNSeSpyOc129x8DfEWqaLHqlvY6RBZyqJg3nKW2tyONvoenahuPLq7BCNbm91XPLviD4D0DRJrMeHvFUHiszOyTfZLbyjAFQEFhuOc15+2ho6hum4A4A6V6J4s8N3nhlytysRUrjMJXAPqMYPT1rjJtQRmOWLe+K8WvLX3Tvp32luZX9gxdxk0LokSMflJq+L5T2NNa7BOa425G5S/saH+5SNpMargLxV77UKY94nQnBqfeHvsZ50mPqVJoXS4tv3KttdL0ByPpSfalVetL3gsVW0qPb9wflTV0tOoXFXBeKwIqP7SD/Fij3hELaWnXaPyqP+z4+6j8qstdDpmomuUzyeaXvCImtUVcALj6VH9lQjG0flU7XEbfxU03UaDHWj3hajFs4wv3R+VPW1jA+6Pypv2yNj95V+poe9ijx86n/gVP3hjXsY2YnA/KkWxRSSMflS/bomb76/99UjX0Stjep/Gp1GH2FO+PypfsSbccflTG1KJcfMv/fVO+3whcl1A/3qLMLDfsqLxgH8KcIVAxgflUTalb7j+8X86b/aUPZ1P40mmWlYmNupP/1qT7MtQnVIBxvX86P7Th253Lj61PKytx7WseelH2OPGai/tOBud6/nTJNUh5+dfzpcrFykrRJ0pv2daqf2pb7sGQA0v9sWqceav51Li0UkWfJWjygvNVv7YtzyHU/jTW1u0HBkwaixRMYVJzTJIBVZtctFbHmZqKbxFZRgbpMfhSs+gtyfyV9aa8C46ZrOk8RWgb79RyeIrXtIfypcsn0Kilc047f04FSfZwG6ZrHj8R23981N/wAJBA3Ic0uRmyt0NaOBCcnipvJQcVjR+ILf1JqT/hILYtjJ/KpsNq+5rrDHt6UFEHGKyxr1tj77flSHXLc/xMfwosKyRqbU9KNqelZTa5bqByx/Cj+3IPf8qaTY9DVK8ZA4pNqnr1rM/tyIrgZxTf7ZULwhanysdjXEfp0qOZMIeKzBrBbkKQPSmSayFyCGNFmJxZLaq5un44rTCjFYkOqf3UY59BU/9rCNcGN2PrinZiUWa3PbpSbT6VlDWiRxC+KT+2myR5L0WKsa20d/5UjIc8Hisoa07c+WR9aX+2W7xnP1oEzSYbcZP6UjMBxn9KypNYkZuIzimtq0zLgR4/GhE6mhJtznrTN4xx0rNbUJjwVppvptv3atCcWy9NtZc1nXGzd+FRyXtwy8JxWbcahPHISUz7VRHJbqch4m5vm7c/0Fep/sstn4jT8fdsm/nXlPiCRnugxHLGvVv2V1z8RLo/8ATk3869KiupjJn1mn+rU+wpaIV3Qpz2o27eK6DS+gUUUUAeBf2hqP/PMH3xT1ur5lBK4NdH5KrxtFNMK+mPwriuuhPN5HOtc3o5xURvNRzwvFdM1urf8A6qQQqox/SjmE5N9DmvtWod4wT7ilN3fYxtxXR+Sv+RTlt0I/+tVcxF2c0t5fAY201rrUWOQOK6YwxjtR5aUcy7DizmTc6muMfyoabUc8jJrpjGpx/hSlFNHP5FnMfaL7bgq2fYU37TqXAUcD1rpzbq3PP4UxrdQ2KOZdiWzmzcamxzimtd6muOP0rqVjUKKVrdWwcgfhT5kTzM5N7jUGPI5oM2p9V6V1bW8efX8KRbePd1/SjmFds5QTan34NHmaqenSuxFrDjkZNL9lj7LxT5hHGeZq3+RR5mqd25+ldiYIx1FKLeE9V5o5gOL3aqzcHinNJqirjPNdl9miDZHSka0hZiTS5ybnEbtW3ZHSnZ1RuS+D6YrtfssWcDgU77LCOoyaFUA4of2r2bNIX1Qcbq7b7PF2GBTTaQscmn7Rdh6nFD+1Cc7/AMMVc0/+0PPUM/JrqvssCr0qoyxR3YK9B2rSnUV9iZOy1LNkuoMcefwB92mNoV1cXCOy7tpJHOBkjGRjvWpY+SPmJwW9607fylYfvK9OGI0sebKnJyuZ1zaXy2MYBwyrjOR2rLhi1XzV2Pjnmutulh2EeZms1TCGBVsHPrRKsmVGEl1I5NDvLxU84twckRuUJ9iQelR3Hh+/WImMgAAgDJOOfc1u288eATJUk91b7CDIfzpe1voJwlvc4230/UhKFZlwPet+38P3lwpaRgYiuNuTx7gg8Go2uIo7g7SCM9TWrZ30SHJlxntniqjUNEmkc9qHheQqFhDgA7vmkZjx9TWN/Z+oRznccHPNd7cXUH3hJk1iXU0XmE780TqNkxU72KdrpN/cAkAtHjlGOV/KqV/4WkkVzmVZT/GJCf0NdBaX/l8LNtU9qstMkkf3wfxqI1mjT3keY3nhO8sx5i3jfR3Ofy6VjNpN9g/6Qzc9Qc16bqTIy4LZHpWO8cSjGK5Ks762Nad7nBvpd+D/AK1z+NP/ALHvdoJnkB+tdhJCjcjpQY4yMEc1w+0d7HRzOJxraTfDGJZCPrQ2jXfUyyZ+tdc0SdB0pSqEY25980+a4/aN9DkV0e62j984/Go5NFumY/vpPzrrzGqj7v61E0aHnb+tLma2FzNnKx6HcKvM8n503+xZ1485z+NdV5K4zjH40zy19P1pczfQRy50Sc/8t5Pzpp0GY8mZ/wA66rylxnFMwP7v61EpMaOY/sGX/ntJ+dI3h+U/8tpPzrqM/wCz+tDY4+X9aUZjOUHh1lPMjk0kvh3cPvN+ddUy/NxwKjZVPB61fNcDll8ODPLsKn/4R30kb8v/AK9b4jUHhv0pSwBxn9KmUrArnNv4bDtyzfWlbw4uNpLkfWujV1Hv+FIzBmyM/TFRzlWZzn/CNxjpu/Oj/hHV7Fq6Lae5A+tMZirYyp/Glzdg1Oebw4meS2aF0BF4O4it85POV/Ooy3PVfzo5mHMY50GHGfmHtmom8PwvzlhW20g6HH50+MrtA+X86XMyoyuYA8PRKejN707+wYe8OTW7JgHhlx9aZv8Af8qzlJ21LMhfD8G37pX2preH7fPQ1uLtI5NMYDcfSs+YZhtoFvn7uahuNBtyvMWQOlbzbd3/ANaopmG3ihSYHONosHQx8/Sk/sG3Zs7PwxW0zDqRmo2kRQCe9PnDczE0O2z9ypf7Fh7Jx9KvLhvmB4p6v2yBQ5voNRKUWkwDgx81ZXR4RyIxj6VZjxuySKsCQDjn8BWVzRIo/wBmRf8APMflR/ZsX9wflV/cp5OfypN6DqGx9Keo2iidNiwDsX8qX+z4m58sflV1pU28AkU1ZBjlTii7EtCp/Z8f9wflSixQfwjH0q150fqPzpRLH6r+dHMyvUrfY0/uD8qjktV5+UD8KutNGuO/0pksiYODVKTF6GZaxo106nj2q81ijdSc1FAI1lLHG4+9W/MH1HrT5hNMiWzRVAyab9jXcepqx5ke3O8A+lKskZX7y/nRzMm0iutmgXp+Ypfsaeg/KpGnRWI3D86YbuIcFhUtsXKw+zovGF/Ko2s0ZieB+FPa6ixneKb9si/vChXKSK0lqFcgdPpSGMKoG0Gpnu4epcZphuoWH31/OrSZVkVmjBHTFUrq2DKTgflV2a4hBP7wVRubyIKwEgNWtxWPPvFS7dQ+7gAZ/SvVP2VVD/ES6weP7PZ8/wDAiMV5X4obzrwtnjG2vWP2U4v+K81HBxjTeP8Avo161P4Tntd6n1dCNsaj0GKa33jUkfzRqenFI0fzda0LGqmRnNL5fvTlGBiikI8X/ti3bkvx60h1q0H/AC0qOPw/Gy4zx6YpjeH4B2/Sua0e5F0SNr9oDgPk0xtatmOfMx7U1fD8DchOfWom0CLd900WiJvsTf2xbf8APX9KVdctxwX49artoMS4+U0//hHodgz+WKWglruSNrVqW4lzR/bFt3kxUa+G4MZA/SkPh6Ie9LQb02HNrlsrY8ylXXLZv+WuKj/4R2Duuacvh+Bf4M09BJ9x7a3bqcCTIpja5a95eaVtBhJzsxUUnh2Fj92jQbZJ/btsvHmZpDrlsf8AlpTf+Edg/uUv/COwf3Kq0e5mL/b1qvHmH8qT+3rTdnzT+VOXw3Dj7v6UN4dhXHy/pRaPcLgfEVqv/LQn8KYfE1uB/rCPapP+EbhXnbn8Ka3h+Bv4MUe70C6I/wDhI7VuTIc0v/CS2qr98mnL4bixwlH/AAjsAPKUvdFzIavie2b+IinN4ltR/HSt4dhbpGBSf8I7DtwU5+lO0e4uZDV8TWmcmQ07/hJrU8h6QeGYP+eeaX/hG4v+edP3EHMMbxTbK2Mk0q+KLQrkuQfpTv8AhGo/+eYpw8LxMMmMflRzQDmIJfE1pz87fgtU216CSXcrMR7itNvC6beE4qr/AMI+i3GwjH4UKUVsgvfoKPE8C/xkGpV8WW+0fvmB+lPXwzGy52A+9L/wjaLx5a1aqIWiI5fGUA/5aSNn/Zog8UwKucu34YqQeF0k52Yobw5Hu+6R+NV7VC5kugHxjbrxmQH6VBJ4shYlt0h/4DVhfDsfTbSt4bXbwOKpVUHOuxRbxVA2PmYfUVIviyHaPmk/AVYXw3Ht5QE+tI3hyPPC4FDqxFzJ9Cu/i6PH3pMf7tQt4qhcD/WflWgPDqbQNtMPh2JeCDU+0RSkuxUXxZCo/wCWn5Uf8JfCM5838qtHQIR2NJ/YMPpR7RDcl2KjeK45BgLIQO+KqzeJo2z8kn5VqjRY1yAKQ6LFt+7SdVCVjG/4SVP7rj8KUeJI+6sa1v7HiH/LMH8KT+yYv+ea/lWTkn0L0Mh/EkP9yQn2FNHiZe0UmK2G0eI/wYNN/smNeCuam67BoZDeIi3SJse5/wDrVG3iI9PKf8K3P7LhAztH5VGdNi+n4UXXYNDF/wCEiO3HlSflTG8REH/VSflW5/Zsf+RTG02Pcf8ACpcoiMU+JDjHkyVG3iJl/wCWEhre/s+NVqJrFG9qnmiBjL4glZiBbSYqOTXp2bi3YfU//WroFtVTPP6U1rVSx4H5Uc6Awv7en/593/P/AOtUba9c7uLd8Vv/AGNfXH0pRaJ35pOaC5z/APb1z/zwI/H/AOtSHWrlukJJ+v8A9aug+xx+g/Kk+zKvQAfhSU12GpWOfbWLsf8ALsx/H/61N/tq97Wi/wDAuTXQNaq3U8+1M+yqvHX6ihyT6Fc5iDWr0jm3XPtTW1S8Y58pRW59lX/IpPsif5FQ2hqZhnUrw/8ALJaaby+6iIVvfZEoaEKuB/KpTXUtVF2Oc/tC/wB2Nir+FOa+vgvKKT9K3Vt1Lcj9KSaBfShtFcyexz32+/bgRKR64p63GoFfuVtRxj0/SpvJDc1HMgOfM2o/3cfjTZJtS8viuj+zr6/pUcluMnmolJNAc2s2qbeo/Kobg6mxPzY/Cum8lajmhHWlF2Gcmy6meN/6UySPUdi5OTXUiEelRzRr06YpuQK5zQt9RYZ8wj2xUkdnf95P0reVQ1PWIbutTzlamKtrfhseZUvk3w48xvzrbW3J5FTLANvI5+tLmHdnP/Zb5ufOYfjTha3mOZWP410Kwrj7v60NCvXpS5h8zRzrWNy3/LRx+NKul3RUZmfHpmt/y0pPLX1pXHzsxV0mfH+sanDT5143mtoKo70vlhuaLtFRlcwZNMuG581h+NC2M/QsT9TW60Y29P1pnljyz8v601JjfkYAs5JJiofBqU6RL3mcj24rQtbfbcu5GQfer64xwOKHK4tTCXSZF/5aMR781J/ZZ7yMD9K2Sp+lKOnIzSTY2Yn9mHtIfypraTuOS5/Kt0xr1PBpuxe1XzMh3MM6OSPvGk/sgrxk1uH5TimHk9f0o5mTqYbaUvQk5pP7FTbk7j+NbRVcnJ5+lRsRt4OB9KaYamFNpaLnr+dU5tNjZG4INdDMV2881SmQbCwNWtwu+p5r4jgFvNtByM/0r1z9lNf+K61Q56ab/wCzGvKfFnN7j1x/KvV/2U13+MtWYcbbDbj/AIEa9al8JhN8rPqmFv3a/SnU1fur9KWtC+gUUUUhHkqzbWIzSkgr6mucT+0d3zZB+lWIWvlkyckfSsPZmHNFmysnl5GKaHBPWsm8kvW+ZO/tVFmvz2OaPZlRszpGkXpu6U/zEZRzXItJfqxGT+VHn36gcmp9mXojqzJt4XkUhk4zXL+ZqPGDx9Kcx1ML1zS9n5hdHSiUntR5h9DXLebqS8Gk+0aluxil7PzFodX5nGab54rmPO1MrjFRsdUz1qlTt1E7HV+eKXz19a5P/ia/3v0pP+Jp9arkIujrftA7GhrjoK5P/iaeuKVl1VlHzfpRydxXR1zXC9N6iojcAHgg1ybf2sDjzGH0FJt1U9XJ+oo5EDszrhcH1pDce9cqq6rt+9+lI0erbvvfpT5ETZI6v7UfWk+1Dua5Pbqg6vg/Sk26ozYD/pRyIl2Ot+2Y4zT1ugy534/CuQaPU04Zsn6U0Jqzn5ZnX/ZB4o5EJWOwNwv9/wDSnLebRgFiPpXH+Tqy8M5J9T1pNmq/89GHtRyItWOwkvMj+L8qoi8zeHhuK5xrfUmXJlbP1qs0N+rcO+71zS5UVodx9qC8ZxR9pBycmuPhs9RdeZST6kVILPUcH9634U+RCdmdXHfDkfNQ17tOBk/hXHHT9SDH/SD+JoNlqX/Pcn8aPZruTodiLonncR7YpGu+xLGuRWz1HH+tag2Won/ls9HIu41ynW/bCq9W/KkGoe/51yf2HUcY89h+NKtjf45lJ96ORD91nVNf991N+2buc1ycun3vXziM/wC1im/2bej/AJaufoaXKgtE6trobjzTWvAvrXK/2ZfHnzm/FqcdNuxGMzvu9uaOVBaJ032rdzkinG8VVwTk1yq6beFcieQCm/2PdM5JmkP40cqFojqhdKe9RPdjcfm/SuZ/sm4/56yfnR/Z1wvHmyfnS5UCkjpPtg/vU03QbndXONply44kf86i/sW47zSZ+tL3e5XMjp2u06E8/Wozcr2wR9a5ptAmY5M0mfrTT4emz/x8Sj8aXuhdM6b7UncgfjTGuF3dR+dc4vht2zm4lz9aQ6A6j/XS/nU2iwdkdC95EowXUH60z7VFtz5i/nXOvor4/wBY5+tRNoJKZ8xs0uWJPMjpftkX98H8aY95Gv8AEv51zUWgnOTLJ9M1bGg7lHzv+PNHLEd7myt9EwzuX86X7ZF/fX86wW0FlbHmN+VPHhwNnMjE0uWIza+3Q/8APRfzpjX8IP8ArF/Osf8AsADjc1Mbw8jHktn61LSRSsbX9oQ7sb1/76qOTUIAxzIv51lDw/FnPz/nTj4bjYbssPap0K900f7Sg/56L+dJ/adv/wA9F/Oss+H4gcZaj+wYe4Y/jS0DQ021W3X/AJap/wB9Uz+1bd8/Ov4HNZzeH4Sv3M/WmLoca5ABApaD0L41i2VsFxSTaza/89AKojQYepzmlPh2CQ/dNKVrArdCxHq9tniQEVL/AG1arwZVB+tVY/DcCgcGpv7BgVf9UD9RWbsWhz63aqM+bn6VH/b1qy/fpp0O3/554+lIdBttp+TrSVupQn/CQWf9/wDSoLjxBajpIfyp40GDsnH0pk2h2+3BT9KHygV/7ftv+ev6VBN4gttxy5x61M2i24/gqJtHgLH5Bip91iTtuMj8R2i8bmP4VMviS13fxUkekW69I1/Kp49Jgb+BR+FFolcyHR+IoCBjdj6VJ/bsR7n8qdHpkS8BVx9KnXT4umwflS90FIrjXogOrUv9vwNkHdVr+zIv7g/KlXTYlz8q/lR7paa7Gf8A27F2DYpf7ci9Gq+NOjUY2KfwpTp8WM7V/KiyG5LsZx11P7jn6Cnrrw2jEbY9zV1bGE/w/lStpsW7p+lO0SVJdjOfXtrZ8tz9KVtaBXhGGfWr62MaZGMiopLBME4z+FL3SufyKUOsEdELD60/+12H/LJ/wp1pGr3DJtA21o/Ylbnp7Ue6TzmZ/bDf883oGrsf+WbCtFrRVOOTSrarnoPxFHuhzGZJq8q5CoSKWPVJWjBMZz9a02tBuzgY+lOFqvsPwp6ApXMptSmzxHn8aVdQnPWPB+tapt41GdvPrUflLknFK6LRjyahPvb5Kha9uAuNtbL26dcVG0KN2qk0NtGJJd3DL92qVxdz7WBXp3zXSPboq/8A1qzryNNrfLVcy6EnnHiKTNwpY/NXsX7JcY/4S3X2zkLYKfzbFeP+JlX7ft2+n8hXsv7JK7vE/iNhxiyRcf8AAs16dF+7qZzinqfUKptXrnHFNZtvan7sr096Yy7u9bkArblzS0zds460vme1AzhTawSIvyDPr60s9vA0IUIAfWs99atoflLkVJFqUE/Ik4+laezkeZFx6DPsyplcZqKTT/l3jp6Yqw13Hk4O4DvVaTVoGygkwfSpdNs0T7FOW3VWJKc1C0KNjjFWbi+gWHLNzWVJq1upPz4FcsoSRcddy95a8YP6U5ow3asv+2rfGRJmga5B/fqOVmlkjR8laURKP/1VmHXrcHmTmlGuWxH+to5WM0miRjmlEKemay21y2X/AJaE0z/hIrYf8tCPwosxM1jCn0oFvGayv+EgtsZLnFR/8JFatyHYiizJ3NdrdM9akWGMKKxR4jtR/GaP+EgtW6Sc0WfYWiN5Y49v/wBamNDGWJrFHiS1XKl8EUw+JLVjneaajJ9B8yN1YY1bPWnNHExziuf/AOEjtv7xxTh4itD/AMtDT5JCujaa2hZs4pVgjXjtWGfEVr/fNJ/wklr/AHzRySF7p0C20HUil+zQ7sjisD/hJLYL980g8UW5zy/4Cj2cg0OgaGLPPNNMMGeRXPjxJbSZO5h9RSf8JFbH+M01CXUTS6G+yQBT8v61QMcUlwTjArPbxJahfvE1U/4SG2SQnLkewp8rJ5fM6qOOFecU7y4PSucj8SW0n3fM/Knf8JBAOu4Glyhy22ZvNHBu+6v40m2D+4tc83iK23ck01vEtqv98n2FPkDludHsh/uilxCP4a5tfElswz8w+tL/AMJNAOBnFS4sFDzOj/cf3FP1prLD1Cgewrnv+EmhxnDH6CmN4mhb+F/yqeVlqn5nQNHC4HyrTWSEHp+VYA8SQjs/5VG3iS33HIfP0pcrH7NnRhYTn5V/GmHy88YA9MVz3/CTQDOFYimN4jg6kSflRysh0+7Oj2xmjES5OM/jXOjxNCFGEkI+lIPE0cmf3bAe5p8rJ5UjeKxk+lMZFzwOKwD4gTPCt+dMbxB3CnH1p8jGkb7CNeo5+tNxG3PT8awP+EgVl5jcmmt4iCLxCzEds4pODKUToDsH/wCukZlXGBkVyV144it1/eW0i/jzWbJ8RrfICRuR7nH9KlxsXax3pZVY1G23b1/SuHX4jwFtpt3z67v/AK1Obx8jNhYioPTLf/WpKLZXI2dbIyj/APVVcyDcR2+lc5/wlTSKW8s59Ac/0pH8QzLgeV+Of/rU+SRnZLc6ZVDNkNx9KsqAqD5v0rmIfEU6qB5G73z/APWqSXxHPtz5B+m7/wCtRySW41bob7Dc2cj8aeJAM5PPtXLr4kuW/wCXfH1Of6UjeILrd/x75/H/AOtRyt7DOlPsRimseeq/nXPL4guv+eAH15/pQ2vXG4/uFJpOnLqC1Oh6/wAS/nUgbEYGV/Oua/tu528RKD/dpra5e4H7hfzqfZ+ZVjomwTzj86ayjrtzXONrF718kfnSf25f7cCBMe4zSdN9GOzOi38Y4H1NN4xneK58arftz5K/gKU6tfhf9Uv5VDgxpdzcyvqDSbwuPmH0rnW1TUCxwij/AIDSrf6jIPuLx/s1HI+5eiOnVgwB3rQzfL1z9K5oX2otz5a/lUq3d8UGVwalw8ykbfmL360GRdvQ1hfar4dv0qKS61PnbjH0qeTzLN0yenSoppV6Hr9KwC2pvzuxVe4k1VScHI+lLk8xaG60g6YqIkelYC/2o4yWwfpUEy6mGJ8x/wADgUnDzJbXU6lSDxipExu61ycR1Tj5z+PJqysWptg+fIuewPFLlEmuh1SuqAdWP0qXzFXB9e1cstlqLNkzufrUv2a/kx85oUfM0VmdT5i+hP0prMN3AP5Vzv2W+/56sKcLW9/57N+dPk8ytEdErDb0qOSQZxg1gGzvD/y2ak+w3XeV/wA6ORLqF0bqsF7j8ad5w/8A1VgfYLr/AJ6NSf2fdf8APVh9DScezHodB5y+hpkkyEMDkViLp1y3WeQUraXO2AZpPrU8oXRo25SOVmzgn1q8sybeXU/jXNW9m8zlPNYMPbNWl0uQKMsxPrTt3DQ2mmReSy4+tC3EfUFT+NY/9ksw5dh7U0aOc4DsBVaC0Nz7QjE/d/76phuk9VH41lLpLJkb2NN/skd2bNGjHoarXKN/Ev51E1wi/wAS/nWc2lAc5Y0f2YpX+IfjS5ezHdFxryPpuH503z49uQ6/nVM6SAM7jUUmlrjq1Pl7juizNdR/3xWfcXEbRsN4pX01duMmqk2lrt+8eaairiujiPEihtRyDkcfyr2b9kMbvEXic/3bVf514z4gjEN1tHIWvZ/2Q/l17xU3/Tsg/lXq01oZyasfTq/dFNZ8HGKA2FHFJt389K2M7iMcnNKqZGc0vl+9OUYGKLjPKn0tbhvuc08aR5HO3ANOW6KtkGibUJG6txWrrN7HD7O2w5bMcqOKj/sJCxcJmmrfEt/9erMerPGm0HipVV9R8rMi+0vc7Z4H938Kzm0eE8Mua3bi7MrEk8+tVGkUMc8muecm9h2aMltFt+mzFC6HBjpWmWQnrTSw7dKy5pIepnHw/A3O3NL/AMI/AFHyVqLJhRzSmXOOaXNLqFm9zN/sKJV2hePpTf7Ah7oD+Favnij7QPWjmKtYzf8AhHoWXBXj6U3+wYI/lEdbCyhlB3VHJMqsfm/SnzPoJmQ2gQM2dmKP+Eft/wDnnz61qrNuGQRSNPtp3kZtsyv+EfgySUzTo/DsHTZ+laaz7lzTluAvVqfNIWplN4fgVsFAR9KP+EchPIjwK1Wn3HINIbspgc/lRzSAzP8AhHYB1QUn/CPQf3B+VapueMmk+1CjmkMzf+EciKf6ulj8ORKv3K0jdNtGM4+lMa6ZWxu/SjmkLUz/APhHYlJ/d5oHhuDuoH4VoLfHoTStdd8k/QUryFqZreGotvCAj6VU/wCEeHnsuPl9K2jcMyk4YCqX2hvtDfez6U1cLDYfDy5xs4+tTL4VhbqjZ/3qsQ3gXqWz9KtLdbiCC35U7voGxmt4TgGflH41GvhmLd9zArdaQr1BJNVpJ1hkAcnB6da35ZWuYOd3Ypf8IzbKvKZ/ClTw7aHjyx+Vb8KpJGAM/lTCoRjmlaTFzW6mP/wjVqRjbiom8LwdVHFdDGokzzj86WSEbclsD8apU29yfaeZzg8Lwbcng+lRt4Ztc8rk1v7VbCr8x/GpGs2jUEir9iL2j7nPr4VsmXJU5+tJ/wAI5aYwFwK6Ax7Vx/Sofs7YyAfyqXSfQFUfcwm8M223PP5VW/sWCNSAgI966KRCsZyrflWXOxjUnOB71hKMomsJ3Zmf2LF6AfhQ2kwKMEDP0qV7zuDu9h1rN1zxTp/h+xkub+fyio4jGCzH0AzWXvG65uhY/siKQ4VQo6Fy2AD715v4w+IOjaLJJa2//EzuY22lVP7tT7HvXH+NPi1qvicfZrdH0zTACBGD+8Y/3if6elcRGTjbCpC9c4ySTyT+ea3jGyu2dcIPeR1GoeNLvVVIOy2TtHGuMVhyai46TMT65qn5Mn3m4z6mq02E4zmnobRijZh8QSxqB5pP1q7D4geTaW5PrmuTK5PHSpIyyfxY9qWhqd9Z+KZoduHUZPzZ5ru9F1KDVnKI4MiAZTHXivDI7ht2CeK6XRPED6bcxXMDbZo+CPWolZoylTUj3SCOMAAqAfpT5o4+xU+2K4Wx8bwzof32JDyV9/rT4/FH7w73/WsbM5vZuLOuVlVvuj8ql+VumM+mK5SPxVEzf6wCrlv4it2b5pAD6560WYezbNxoznG3H4VZtdJ86QcjpkkjFZH9pPIQyOuztT21aXbjzMehBqdSXTaNNbRGZsLgg4pWt04BGD9KzI9V8gB5JA2e+cVaj1SCYBvMA+ppO5PIy61vH0wKb9nQfwim/wBowf31/OmtqEOfvr+dRqNQZMsSAfdH5UjQo3aoTeQ4z5yD2Jpn9qW6tt8xT75qWmXytE32Vf8AIpywBe/6VD/aVv8A89F/OmNqVuP+Wy/TNTZjsWVQL8vH5U7y19Ko/wBrW64PmA/jUn9r2veSk13BFgwrTXiXFQHWrQceb+lQya5Z5I8z9Knl7FWZbWFdvXFMlhTGMZqi3iCzVsecBUUniSyHHmip5WUi00SrUbQq/tVNvEVmy5D5HtVZ/ElorEZf8Fo5WXoaa26q2M1KIQSOax18RWh53sPqKlj8TWo6Bz7gUuUFbobixjJ5p6whf4s/hWMviK1ZsgsD6EVMviC26ZYfhRyj3NbYnfmjy0rK/t637FiPpS/25B/tflTStsHKaflDsP1o8pe9Zn9uw+rflR/bkPo598UO41E0/KSjyh2H61lHXov7kn5UDXVJ4Rse9QyuXuayoFokcDPHQVlNrSjrE5+lN/tdZFP7thnsaWocvYs2UIW4duua0gpIrATU/KbhCTVj+2mjUfunb6Uw5WarKd1N6Hn+VZX9tux/1ElO/tiXtA+KdgUe5q7S3NG0d+v0rK/tSVufKcUv9pyhc+Wfxp8rK5UaTAdM4/Co/lXjrWcdUnPIj/Wo31Ofr5Wfx/8ArUcrJcUa/wAmwVXkKCsxtUn2/wCrx+NQtf3LDIj4+tUosXLc0JGSqdyy4J9KqyXlxt+5+tZ91qE4VtyYHrmnbuHKcl4oIOoMB0JH8hXtH7Iq7dS8WSdcRRrj8q8Q1iU3F1vPr/Svc/2RY9194sGf4IR+f/6q9Wl8JhW912PpXbuTOcUzds4609W/drx1GajY5atWEbWHeZ7UeZ7UyipKPAVuNR24LHP0pHk1Qgc10rRoD059aQwhsUvao5byOZ/4min72fwoaTVOu6unMa96a0AK5FHtEGpzHmaj3cg/Sms2ok9SfwrpfIWlEagY/pUyqaDTfU5jdqHdv0pfM1Lsxx9K6pYVZc4FIYUBx0/Cs+co5XOqHkNx9KMapjO79K6jy0prRp0xRzkt2OZX+1W/i/SnKupsuc10axoue9OVE6Yo5/Im7ZzLf2oDgNikJ1PGCa6k26Yzmm+QnrTUxO5y4TUv7xpGGqdA3FdWI41GMZpjRpu4FP2hOpzCLqgUfN+lBOpDrJID/snArqo40I9Ka8aKxA5H0pe0DU5f/iadmJH+11prR6m+CWbPsa6tVj28jml2x+lHOw1OTZNVPAfA9+ab5erDjd+ldcFjzjFSCOPHSnzvsJ3ONMOqtjMjD6Ggw6qf+W0g/GuvZY93SjbFT532IbaOQ8nVMf6+QH600Wup5yZXb6muy2Q+lJsio532FztHHyR6iFA8xxioNt6zkeY+/wCtdrIsYXoDVJVj+0EhRRzPsHM2c7HbaoefManpb6kzZ851NdYrR7iCv605UhByRzS5/IrUzdNg1SSEgXTZHYnFNvNH1VmUvfqD6Fun6V0dj5LbhgDdVqZU8vAANepTqJxsefJSvcwrTStUeIA6m3/ATxStp2ow/L9tkfHfNbdlsz8wBP0qeYR9ccVvGaT2M5KTWphW9jf7cm9YZ9TTpLHUMY+3MR9a2E2KcAA1YxGyZwo/Cr57mTizmlsNQXJW7bPruqjPZ6vM5DalJs/ug11DyKM4C/lUI291U/hS5l2IcZPqc7Ho+oO3F9L/AN91M+jakqn/AE08f3jzW95qRrwqg/Sqt5fRrGQdpc9AKan2Qoxkt2ctf21/DGxN1IW7BW4NZFzpt80fzTOznnbv529ya3tU1ex0WMXeqTC2tV7t1P0HevB/iJ8U73xtHJaafM2maSpKq0YxNIM9d3YE545rkqu61R2UIycxvjLxo0F41po9+bmXO2SWGT5QR1AOOcfzBrjMy3cxnvZ3uJezTMWA/Cs77RBYwqkSIoXoEGOe5PuTz+NUbrUpZ+Fyo+ua42z6JJWNu6aJVDbsj1Jzms+bXhCxEagj1rJZpm/iNM8ln4br61lIrQuTeJZtuMJj6VRl1YzHLDn2qC4twmec/hVMr7VnccbJmpHqAbjOKuxN5iblORXO7fTirFrcND91setBbfY2xcLnAOTViO4aFwR+PvWMsm4h84NW0nMiYIwfWhsEzf028DHGcEVel1Zoflz+tcpDM0b/AC9fWrRuDLgEZb61PMVp1NuO/MkmS/JrRtbxlYZyw7c1zlqu5hng1uQqI7bO4ZxS5kK66Gr/AMJBJCyr5hCD3ro9I16yu1RZLjbIf4a8ym3uxy3AqOO6MTccEd80/iIcVI9v+xQ3Clo23Ee/FSLo6H5iD+BryrRvGGo6VykwZfRxmu90H4hWmpDF7KtvN0wPun/Cs7NbnPKElsdDDo8bADDfnVhdDj6fNViO4T5WVlKMMhgRtP0NXY2Dc7sfWockR73Uy20GPpj9KRPDkLHJBz7Vr+Zubj+VO37T1qObsUmzKPh+3XjDfnSf2HbqfuZ+ta/mK3J601mXd0qeZjuZLaLbu33cfSnnRYFHQ1oqRu6VI23pmpbYIx/7FgbnbSNokA/hrW+VeKRsFeMYqbssyP7Ftj1iU/UU2TQbfbkJj6dK1dyjg1HJMAMYbHsKafcNTGbQ4Nv+rqFtGgXHyVsNINv3sfUVC7JxySfYUSlZaBG/UzxosGPuD8RT00mFTgLj6VeWZT/Cwp4ZQejH8KhSY5IqppEWchB9cVYXTIl6opP0qdJvQEVKJlPBBz9KrmZKKv8AZ8XZFH4U5dPix9xfyq15g9Dj1pyyJipfmWrlYadF/dX8qQ6fGOg49qtGRfWgSrnFRoUQLp8ZUUf2bHuzx+VWPNVeKTzx6j86YDfsabcVDNZoFJA5+lWROnc01548H5hQBQs4VeVgygn6VeazXoeKihlgjcneA1TNdJnl1I9c0vQpPuR/ZAp4Y1KsK7e9Rm7i/vinC8i/vr+dOzIV2xxt19SKDbrt9fqKYb6L++v50fbosY3L+dPUrUQ269f6VG1uG6cfhTmv7dVwZBmovt9v/wA9BRqLcf8AZ12cjJ+lRtGqrjFI2pQdN4qJr+A5/eCizKV0QXUYCkj8qx79BJCynitGa/iYn5sis28uIirHfiqjFplnCavH5N1tznmvef2RV23PiuT/AK91x+deD60wkvhtOR6179+yXHtt/Fcn+3brj869inscdW8j6FV/lQY/hH8qKYvyov0H8qUNntWoR0Q6k3UuRTGb5qRTkeIt4ks93+sI/Ck/4SS27SHH0qI6HD/dH5U5dEhx/qwax/dnNzMcfElvn7xNH/CTW23G5h+FL/YETLkLj2xTP7Bh7oc+xpfuxqXcQ+JLXP3mP/AaQeJLZs7Q5x7UjaDBnoRQugxDJXIzS9wbkPXxJbleGYD6UjeIoCc7jSLoMSjAX8xTv7HiXjywaPcI5mOTXrZhyxpp1+29WP0FOTRosn5KRtChB7ihcnUVxv8Ab0BPAb8qd/blup6mnx6DB6Mfxp0mhxKThMj3qv3YXsJ/wkEBXo34Com8RW8fGH/KnDRoyehX6U5vD8bY4Y0WgHNcj/tyBstlwP8Adpn/AAkNt/tn8KvR+HYnU5z9KjPhuFegNUowYrlX/hJbblfnGP8AZpq+JLYjjeT/ALtWl8OIWOBxR/wi6D6+tPkgS5WK3/CQQH+8Pwpj+JLZDgs2fpV1fDcfRic04eG4QxBAb3Io5YLYXOih/wAJFBuyNzD1xT/+Ekt/R/yq43heJVz/ACFQN4diHrS90amiE+IrfGfn/Ko28T2qnB8zP+7VlfD8XXJp3/CNxtyF4pXgVzoqr4jt2GQHI+lMbxNbq2Cr/lV8eG0H8P601vD8SnBGKXNATmii3iq224CyZ+lVD4gj83f8yqexrZPh2ErnofpVF9FT7V5WAR64qrwexPOuoi+I4V/vt7gU7/hJ4PSQfhVpdBi2j5PyNB8PoTkJx9aPdXQXtIkMfiqCMggSflVpvHVugGYJWpY/D8e0ZGDUc2gQ8AoK0hVjB7GcmpdCWPx9aRHcbWU0S/ECGZfltJQPr/8AWqL+wYduNqj8P/r0q6BCB91T+H/162WJj2M+VAnjqMH/AI9JvzqRvHiYIW0lJ+uKj/4R+Ec7V/L/AOvTJNIh6eWtX9Yj2FyrqMPjhUYh7SQN6Z/+tS/8J5GBn7FKR9f/AK1KNDhEYOxTUUmirJ8giVeCd2flA9z2pqvEhxXRFe7+IkUZy1pMAffp+lcxrHxk+xBmtbHzJcYG9wNvv0rjPiB46tbG8k07T9kxKkyTo2VQjsPX868rvNUlnycjJ5J5NW523OinheZXZ0ni7xjf6/c+bqF0ZnHSHoi+mB9K5K41CWYlc89KrSSFj70qsOuOa5ak79T0IUow6DGgeRsk0NiPimy320Y71SkujIxNcbbNi2bnbkDoKrSXxYnA/WmLcbVxUDOCxpAOe63MQw5pw2SqADg1CwVvrQqbeQaQxzwMpwOaj2svJ/KpVkIb5jT2IekwGwueDWhbtkVQVCtWLdjuAqLsaZoRL+8xV1YR1HWqMR2tnrWhDMOCRSG2yaGF1/edqJnllYbCQO/NSi4wnt6VH820lOAaCSG4m8iMKrbz+VVPMK8sealmt35Yis2d2ye9MFLlLbXx6dvrT4Lzy23ADP8Atc1jGU7qekxXvTT7m0Weh+G/Gt5p7KgMco/uyDIH054rvtL8W3VxCcGNT6Yrwm1uyrgjr9a6zQ/EAhmRZCV3H73ah2JnFPY9cg1LU5PmBAX2FW1vtSZQflPvtqlot+GtY5Qyyw45ZGziuhhdJVBQgg1jK6OLm1sjM+1ao3Ixj6U3ztUZjXQx26svJ5pywqueKhy8h3fY5zztTZeuKQf2mf4q6FolWm+Wp7VPOUrnPlNUJ4amSR6njl66Py/Q014xjmjnv0K1RzQj1P8A56fpUclvqh584106wrtFNkjUU+byDmZyptdUK/8AHzIPYVWaz1IyHM7n6musaNT3qvJEqvnOaXN3QXZz62eoD/ls351MlnqDY/et+dbqxqeKniiUd6XOi02YMem35/5btVhbC7X70zE1vLGBzupSqd6XN2HexgtZ3JPMsn50g024Y8TOB9a6ARjsMinLB3xSuLmuc/8A2XOOs0hNKukzdfOk/Ot9lCnFSIyqoGKLsaZz39jzHnzpPzpw0mUf8tGNb/3m44FO2470XZRzp0eU8+ZJ+BpP7KkXOZGIHrXR7T61HNGdho5mBz8OnGVz8xBqf+xS3VmIq5Zwv5zEn5a0M44zn8KXMBif2KVXhmA9KQaKGPJbNbm7jH9KRfl//VS5hmI2grnq350xtDVf7351vlh64/CmOQ3f9KFITbZiLo8ZUA5zTG0eNfWtravc/pSNs6f0qrk6owv7Hibnmj+x4lU9a12VN3X9KY4GOMY+tF2UpPqYraciLtHNULrS4pFOeMnH6VuzMFzkVnXTDGffNNN3G2zzvVIhHeBV6A4r6E/ZM40zxU2Mgzwj8hn+tfP2rL/xMHOepr6E/ZLULoPifuftCf8AoIr1qN7GM9FdnvjfdH0H8qjDU/7yimdK3ZAHPrRRRUiZ5SFTHNRu21iB0rmfM1T1o8zUv73P0rHkRn7p1SktGOaidirEda5vdqO3LOQfTFN8zUuzZFLkXcUrdDpM7udpP4UobHt7GuYabUM8swPtTl+2suSzZp+zRJ0jTBe9M87dyK52T+0FUYPH0pn/ABMh0NL2aEzqFk7lsUplU9a5T/Ty3Oc1IraiowOlCgmSdQsncHipBcKw255rl40v5TycUxodVWQ7OnY1apX6ik7HXx7c8nmptny5B/CuQhbU0b52OfpWhFcXf8TH8q0jh79TJz5TfjYo5yakZtw4rFV5pEzls/SohLc7iNzAfStI4fXczlVNoEKef51Iux+d3PpWFI87L1bP0qKD7SkhbcxB7YrT2HmR7S50DfdOOKijk7lsVmvNOFPDVQ8y5848tt9MUew8w5u51Am3R4ALY7gVn3MjbjwRn2qp/pAiO13WsO+a+Y4WRyaiVHTcqM1c6HzCOOaPtW3gtiuRaHU8/wCscUoj1AdZJM/WuZ0+7N0dW17t/vGk+2FgDhua5RoNQb/lo/50xrXUuAJXAFT7NA7HWyXhXjBrO+1Br4khsjH8qwvs2o7iTLJUDw3u/O9w/wBacYLuQ7dTtFuWX5QSB9KlFz6ls/SuJ+yalwwuJOfan/ZdSH/LZzV8nmJOK2O0+1L/ALVMa4DHqR+Fcd9n1L/nq9L9m1H/AJ6OaXImPmR1zXGT1P5UfbNvHNcc1nqm7iWQClWy1Jus0maXs0gujsPty7cEkfhUL3Y3j0PeuV+w6htLGVsDqScVk6zcT6XZteXNy0NvHy0hPygfX19qXLfZlb6I7e81eCxtXurl/Jtkba0jdB9PWvB/iN8YbjxItxpukyfZtORtssyk75Pxrl/Fnja48RnykubgacpO2NztL+5HauRln6AEKB2A/nVJcurO2nRs/eJZGCrtQBF7981XkkAGAcCoZLj3zVSa45NOU+Y6Lcq0LjXAVc5zTBecH5f1rO83c33qkxhAd2fwrJsSv1JZXDdqrM3PFDMWqFgd3WpZQ5weuaYHNSqu5QM0xoSvfNSAqkkZzUkcnaolz0xU8cOec/pSuhDsqw6c0sSnd7U1VxJ1q3t24GKTYD1j3U6GM+ZmpYI9nvVjyhtz0qBoRRtNTQtlsVBkjjGamtdrSHcdmKCiaQleAas2sMjqOCfTFQblaXrkVr2U+Y9kCgPj52boKCZMo3MbW6/vmEYPbrWDfTRxsQDuFaWrYkZi7Fmz61hXEIbktk/SmRZvchaYbicVGbj2/WmTLtJI6VAAzcjpSOiNrGjb3GCP8a0re6Gc569ia57cy8dDTo5mVutBZ3/hvxHdaDMz28p8iQ/vIycg/wCFepeH/GlncklZCp7p6fjXz5bX0kecHg9q3tL8Qm1YHAUHrSlqrGfs4yPpGz162Yk781bXWrRhnzMe1eVeD/EVvqt0YQQknZWbrXfQaXHJliAcfeAPT6etZONjlmuQ1m1a1b/lp+lRtrFonHm/pVX+x4nbgEClbQoDjIyamyM1MsHW7QH/AFlMbXbPp5n6VH/Ytt/cpjaPDu4j4p6F81x51y0Uf6z9Khk1+zx/rDn6VJ/Y8O3HlUyTRoNn3APwo0Arf8JBa9nOPpUM2v2u77z/AILVj+y4V42L+VRyaXExPy4+lLQaIU8RWuerflU3/CUWkeMls/ShNLhT+AH6ipU0uBiCY1/Kpdik2hV8TWzdN2KkXXoG6bqlGlwHny1H4VKmmwj+BfypaDcn1K/9uRDgE4p669Ht/iqx/ZcDclR+VO+wRxrgKMfSjQSkVv7ajbnBpP7cjXjY5+gq2mnxOuSoB+lL9hiHGKWhXMkUP7czJ8qNin/8JAF4MLk+1XlsY+uB+VO+yJ24oZSkikuvbukbD6mmvrZYlRGfzq99jjznAP4UTWiLGWCjP0pJdyuZGbHqzRMRsJ9s07+2pB0iOPr/APWqe3iEjZIGatLDHj7g/KqUUS5JGb/bcxOBCfz/APrU8axKTjyj+daHkqGyAPypwiXrgflVcqJ9ouxlSarOG4j4+tH9qXIGfKz+P/1q1JLdJDnAFK0K7elPRdBxmn0MZtTujz5P6/8A1qZ/aVy3Pl4/GtfyVxjFN+zLSckW32RjtfXRb/V5/Gke/ugo+QfiK2PIUVHLCD/+qp5kxJvqjnri8uixGz8qoXU1w2fl7V1E0K7e2fpWZdRgZ78UaXG5XPObwM91luDuxX0T+yaP+Ke8TH/p4Qf+Oivn3VGBvCOmX/pX0H+yXz4V8RH+9eBc/RQa9Wlsc9XY96X7oFNb71IrbUU+1G7dz0roEnoFFFJuoYHkfkr2FHl46AA1lf8ACQW/Zzj6Uf8ACQW/I8w8e1cvJM5uXua/khl+YjP0qM26jjP6VmL4mtQOWY/hQ3iK065f/vmlyS7Dskan2dfTNL5I/u1kf8JHan+Mj6ij/hI7b++34LVKEuw1Y12gRlGRzTPKSs5PENrIMbzn6U065bg/eNVyy7AzUWEdRgilMAPOKyf+Eitl4LkD6Uf8JHanpKcfSlyy7EmusShh2xVxQrKAFx+Nc8PEVqOdzH6LQvii33fLvx9KajK+gn5nSx26luRmrDW6cgADHtXOReLLZAMls/Sp08ZWK8sJifZOK6owlY5pI2IUEbZOCD2xU0iIeijP0rn5PGGntwDIp9ClKvjGwVRuMuf9yrUZGTVjawqdVFTxLG38IrmrjxjYSLkeYP8AgNFr4ytV+by5WX1xVJS6knTSxIwztAqtsj3Y2DIrHbx1YbeY5wfZM/1qq3jSwLk7Z/8Av3/9em1LoB1asmzHlisq8gRJN20Vnx+ONN2gETg/9c//AK9V77xdp83EZlz7pj+tZyjKxS1NIqjc4FMZYweQKxF16EjgOR9Ka2vQ7uj/AJVyOnK9zpS0NzbF/dpMR9hgVh/8JBB/t/lTT4igH9/8qnkfYHFnQjy1XlQaz5I42umOABx/Ks3/AISa3OVAfI9qqt4giExYq+D7UKDJ5Wzp9seB0FO/d+35Vzn/AAkNue7/APfNH/CSQLxhz+FPlYuQ6L937U+Ix56CuXbxJD1w/wCVNXxXbhsYfP0o5JdBch2jCJoxwBVZ1ijVm3D0xiucXxZCw2+XJgd6y9Z+IWm6HslvPO7yRxqv3yOMVSpSluHK1sa3jPxZp/grSRqF/hUwdkLffmP+yvevmjx38RtR8eMqXLeTp6SeYlrGNoJHTd6/SpPHPia58Wau17fSO6xtm3iY/wCpB7D+f41xV7dAE/xH61pGCidlOCtdhdXe7JyST6ms2SdmycYq3b25nUuePaopIwe232rKTudak+pTaY7aqySMWNWpo9p61AU56ZrJlcxArMGq1FIzDGKZHCWf0rRt7NsdM59qhyGmU9x/u0hUtzitF9PYH/61PWxKr9KjmGUI1PFS+XuyKnFuQelWPsu0ZHP4UriMxUw3SpMlcjFXPsLfex+lL9jYgHHX2oEU44yzZ6VcXqBjpSrbeW3XNK0ZDZ9aBlqHDY4qcrniordOAc1aX73SkNERh2j1qCQbegwa0GHy9Oaia3LrnFA7XKULHdV5tS8q1MXQ/wB4HFV2tylVZ4y2SaB8oy4uDI3X8aayxquWbJ9KgkG1QO9QyKx5oFYgvZF3HHSq6s6qMdKtfZ/MxninsqRrt9KAvYo/M3JHNKPlNPkYbjgcUw0h8xIrd6lWZt2Owqt5m3jFKsnzdKdylI3tJ1qXTbpJ4fllQ/Kxr1HQ/jBeXDQxXWnwy7ePPU4/MV4rvPUcVcs7poTlQMt1z3pqz3JlFT0Pqmw1gXCxl18rzBldvIP+FaySK2Oc+9fPPhfxreWtxDbmfZbkZO75tvPTFep22oajOqtvDFgCCBgY7Vm49jklT5NTtCwBpNw+lcsJtTJ607dqf979KXKSrHTM23v+lRPJu4x+Oa55v7UK/f8A0qCRdSZeX5o5Sro6Bio70wlcZwTXPCPU9oHnSD6HioJLfUyx/fP+dTKHmXG1zpxgj7p/KpY2Udj+VcktrqR/5bsKnis9RHWZz+NZuFupd4nXLIuPumnrJ8vCHFcxHb32ADK2frVhbO8KjMz0uUnQ6Hd7EU7cNuCDXO/2feNz9ocUos7leDM5NPlBW7m+sqqSM/nS705O79Kw1s52UfOxPqaadPuOf3jfnRyj0NxZ0Pc/lT/MX1rnV02df+WslO/s2ZufNk/OiwXRv+YvrSSTIExuX86wV0uY5/eyfnR/ZjbctI1Ow9DVjZFOdy8+9WVZMffX865+LSmmbh2AFWRpbDgyMDT9Bs12kjXrIv5037VEP4xWS+kg8F2zSrpO1R85o1J0NX7VD/fFI15F03j86yP7ILchz+VH9jjvuJ9c4pjTRpNeRK2N6/nTft0P98fnWb/Y8ffdn60LpqRt3IpWRakupoNfQj+MVE2oRH+IfnVWTTVfkKcfWoG0levNFkDcSae+i5+cVm3WoQ8jfzip5NMTHQ/nVC602NccYJ4ppK4ro4jU5A+oHacjf/Svo39kv5vBWtnof7Qx/wCO1823w2XxX/bxX0r+yXHt8D6uc/e1H/2WvUppWOWpdnuLfcX6Cmr90U5vuj6VGr4GMVsKJJTGb5qPM9qaxyc0yjxdfDkTE44/ClHh+GMHKgn6VrpLtycE/hTJJ8dj+VYLmOOzMY+HojztI+lI3h+Lpg1trJ8oqKSbDHr+VVeY7MyP+Ech25xn8KF0CDHcVqi6Vvl+YH6Uecq8EMfwpc0luFmZa6HFGxIXPuaP7Fj7qCfpWk03cA4+lM+0/hS55BqZ/wDYkR/gGPpTToMOeEA/CtP7R05FOMwH8Qo55BqZf9gw7cbT+FNHh+JTkbq1hMM45P0FDTYPQn8KOaTJaZnro8SrjbmmtosTHO2tLzvr+VJ9oGcZ5+lUpTJM8aPEOic0jaNG3UH860fO9s/hSfaPY/lT55itczP7HReMZFKuixnJ2jB9q0GmBP3gPrSeb6Nx7CmqkyXEo/2HFtxsFM/sGH+7Wj5p9T+VKJvr+VP2kluTymaNAiznbT/7Bj256D0xV3ziWIGfyqUSEqBk/lSdRvqPlMxdBQL1an/2HCq8gk1e80rxn9Ka056UuaRXoZ/9hQtztb86Q+G4W5yRV5Zz0yfyp/2jbxyfwo5pE6mevhuFVJyc1Sk0JPtBXOQK3jdfL3/Ks6Wb/SnJ3dv5UnKT3FZjF8PQlRwad/wj8PoatpdgKBk077Uam7CzKLeH4NvcVBJoUEa8Lz61ozXW1ck1Sm1AMv8AKld9CZJmdNZxW6u8jCOFFLPIeigV4V4z8QJq19JdnaIY8pBk5wBxn8Tz+Ndj8aPFwtUTQreb55V3Tsh6DGQv5EV4fqWoNIuDwqjA57Ct4yaVztoU9bsbe6j5mT1/Gsj5ppd2eKjaYysec1ND+7UZrmlN3PT5VYuLN5cXpWZPdM0jY4FSXtwXUKox+NV4bZ5Tgc1FyLIVWMm0dTV+0015m/8ArVd0fQ3kYEjJB713mleFySjGPO70rKVRD5DjbXQi2CRz9K2rPQX2H5eF9q9CsvBLybSsX6V0mn+BWWPa0Zwf9msZT0KUH0PJP+EXac52/jipF8JswPy/pXtcfgwRnAjyPpQ/hHy937vg+1Z+0sUqcjwWTw46yFdnT2qxHoBwMj9K9jk8Ho2SEy30qt/wh+WGYsUvaFeyZ5S/h88jGAPaoF0V9jZT8cV7LL4Pj2gbcEe1ZupeGzbwuEQbcccU1UH7Ox4vdaW8bE/0qs9m3ftXe6hoTFSxHOaxJtPK5BXFXGd9w5UjCihbir9vp0jEN2q7baezNu28ZrprPQ/MVSBzRKXKtA5b7GBb6O0gywwKmbSyseccV2NvoJZQp42+1Wf7DRm2lSB9Ky9r3N1SPM7jTmdjtH6Vn3GnyR8FK9RvNBSAnYufwrPm0MzAkpj8KXtuw/ZM80/sd3O5hgVWuNPI5A/CvQ5tE3NgrjHtUbeHN/IXC/Sp9sxexkzzwabIyjAxVefTXXORk/SvRpNAVWOV5qpcaKMEbcfhQqxLoSPNZLF9xPT2xUDQOvau7ufD7liwHH0rPuNFcAjbz9Kv2vcydNo5ExnGaEj75rauNLkiXOM1QmtZI+cVrGVzMgp0cm1qesLN7Gka1ZWzn8MVomF+xbt7raxAOD2PpXrvw/8AFcutFLJ5h58Sjj1Ud68ajVV68Gt3w1qTaPqMV3EeQdjdsr3FUTNOSsfSulslxCSDkI21mrQWEMM471xHh/xJbxRsYZt0BId/bjpXQr4mt2UNuY554FZNSZxuLiaxh7YqGS2H97FZ3/CSWx53kfhTZPElr/eJ/ClyskvGFVHWoJI1yTmqT+IrXbnL/wDfNVz4htW/iYfUVMosuK7mpHGDzmp0jAPrWIuv2qjOXP0Wp4fEls2OJPyrPlZoklsbscKHr1qfykrDHiGDdwshH0qZfEEDdmH1FOMWPVmr5S0ojHpmsz/hILccYYmo28QR7uFfH0qxcr7Gt5XtR5Pt+tZa60GGQhx70h1wA42OT7CgXKzV8o09Y/lrH/twd0cH6Uf24e0cmPpTsxqLNjaVJ4pkseYjxzWT/bnrHJ+VDa0Sv+rbB9aTTNIpl2zUqelXRGAc4zWCurOv3YWYeoqRdalP/LFh+P8A9akhyTNvb7UjBdvIrFbWpQceSfz/APrUh1qbGPJP5/8A1qqzIt3NfcB0/lRgNzux+FZK6nMy58v9aa2pT5+5+tFmUop7GuwQdTn8KiZkzWU2oXLdI+PrTDfXQH+r/Wpd0VyGu0q7arSSE9OlZr6hdY/1X61C19dlfu49qlNicPM0XcY5bH4VQvGXbnP3eenWoDcXMgJIwazry4uWyMY4q09dSOWxxepSbtRPGP3ma+m/2Uht+HmovjrqEn/jqg/1r5hvMtebm67/AOlfUf7Lfy/DC5PdtRn/APQRXrU7WM6mh7Ju+UDFMpW60lakxCl20lLuoK06nhn2fUFUfO5/GoZoL+Rf9Y6mupaTC4HSo1fucH8KhTONSZyn2XUGXG+Qe+aPseoqoXzHPvmurba3OMGmfIvFPnK5jlWg1JFwGbPrmov+JkGwzOT65rsdqFM4qCRV7UucXMcv/p+3G5/zpPL1LGRLIB6ZrpVQH0/KhlXpmpchczOWKamT/r5PzqRTqJ4M0mf97/61dD5KetKtvGWzQp9yXKXQ5/ytR3Z8xz+NKY7/ALu+frXR+Qo6dKUKF4quZdETzS6nLst8Gx5jj8akVb8xjEsgPrmuk8lG5J5+lL5Kjo36U+fugdzl9t/nDSOx9SacbTUGG4St+ddE1um8k8mpY40HA6UnNCVzlfs+pjjzJPzpjJqCnBkkz9a651QMeKYY0P8ACKnn7FanLLDqLDId8fWjydQ7yP8AnXVqkeOmKRlTP/1qFO4m2cskF91Mr5pj29+zEiST8661fLXqM0fJ6VfMRzM45rXUc/fk/OnLZ6gV5eT867JdmOgqNlTcf8KfOK7OSFpqAP8ArHpy2t+zHMzg11W1fX9KcnlrkkZo5x8zOQa3vkY/vnNQSW92z53OSfeuzkWM84FZ8m0XQAIwfak5X2RLm0c+LO8UY3SfnTHs7/kiSQD0zXXrsZc5H5U1pEEZ+UGpu1uhRqNnENb30hYNJJnsuetcp401aXSdPkkM8gCccNg5r1G6uoLe0nnlIQJ/Geg4r5v+IXjqPxJJJbwJ5VpG5G7OTJjqenHNXHU6IRcnqchqWoy3V1JcTytLKwx5j9fb9K5+6uzIcdRS6hc75CqkhB0yc1SX5nHpWEpWZ6sFyouafAZZFUdzipb0GGRk7g4qzYDyY94HKnNQtC08xJOSTnpXO3rclydyG3s2uCOf0rqtB8NzTYcJuH0pdA0ZpJFJHH0r1Hwvow8s54A9q5KlXlOuFNzKWh+DfM2iSPBb0FelaD4RjWOJFThe5+tW9LtEWOPCc12mhWAbaxGK4OfmZ3KhZF/w74OtI7dZHX95zkY96vXWlww/djB/Ctmxh8j5QMjFF7GJF5GDXQkrDVI506fGy524NVbiySNQMZHpitx1VRiqV1CZcY4odkdMaKsZH9kxEk+XnPeobjR49nC81rMrL/Fj8Kidj3Oa523cuNFHPyaXHjJHNZGqaWPLY4+U9q7DYHY5FUryNWUrtyKE2twnRVjyvUNHRlYBeK5TUtFJmEarj/axXr97YI27C4H0rCu9IUzB8fpVcxyOi7nA6XopDBSuRn0rrbfR40wQuDitay0lImzjI+laS2a7v/rVLkdFOguqMe3s1Vvu1YazVecfpWp9lVRx1qOSP2rNs6o0jIlsVl6/yqncaeI84GR9K3vLHpTHhBH3azcjT2PNuclJpoySRz9KY2nrsxjFdNNCBn5agNurLkis3Ir6ucrJpqdxk1Wl0xdvAwPpXWSWatz/AEqtLaqq4xSUh+wONm0rOcLVC40VsHjH4V2rwjJAFVbiDrxVKWplLDJa2POdS0jb1T8awL7SV6gcV6heWQmXkfpXP6ppihTj8sV106tmeRXw7Wp580Cov3cH1qJlTb83WtnU7Yw5IWsZ492c8V6VNp6nkyi07ETQRsuRT7VAvy9BSLC3bkUrK3AAwa1FG6Ot+HeoJZ649tdPutLiIquezdhXsFrpUDKq4YYAGK+fLGYxzq4OxlIKt6H1r3vwr4gi1uziYf6+NQJceo4zSle2hjUuai6HBt5Tn3ofR4VXhBj6Vq7lwDnIpHkTbjiseZ7GOpjf2XCyY24qv/Y8P90flWzuDbsA/gKhLIvXOfpRdi1M+PSYem38qsR6PAGztNWI5Vz0P5VYSReuDRcdmQx6VH2U4qddNjX+AH6ipknAxzj2qfzF75J9hSuVZoq/2dC3OxQfpSfYYx2q5uU9M/lSeYnIJH4mgNSBbCPaOP0pfsMa9F5qYTJ6j86kWRCoo3LVyp9jWnLZjHXH4VO06K2MU0zp6gfjRYrUZ9jX1qK5tVWInAx9Ksecu3OailuUZWBYfSmMpWUQl9QKu/ZQGzn8xUVrJHGgIK/TNTfaY+7AGkAfZ19vyo+zr6D8qPtUf99fzppvIx/EPzp2Ad9nX2/Ko2t03HinfbI/7w/OmNdRlvvD86B2fQXyV9KZJCP8ikN5GDjI/OmSX0fqPzpByyFEK7cEj8qgmhVcgfyprX0eeGH50yS+jAGWGfrQHLLqI0IVSc/pWXfRgK5z0HpVya9jx94VmX10hhYhskjpT6i5WcBeNuvHPT5s19Tfsww7PhUz7s79QnOMdPlFfKd02Zn/ABr6u/Zh+X4RQ991/cfyr1Ka0Majvueut600c0pbdSDiti4vQKTdS01utIe54m3ii2K8iQH6U1PE1q3A35/3aX+yYCvAIFNGjwDnnNO0DhTSH/8ACR24/hk/75pjeIoCeFf8RTm0eA8lcmmf2TD2yB6Ck+UrmQ//AISa2C7TvB+lMbxFbt0EmP8Adpf7Lh9M04aXFjjio90XMiP+3oNgwr/lUD+I4FPKv+VW202Hoc/nUcmj28igYOfXNHuiuiu3iS3BwFc/hUn/AAkduv8ADIfwpy6Jbrn5S340o0iNegOPSl7ovQaPFVtxmOQfhUg8QW0mSN4H+7SNpMTAfLTo9NRcjBqvd6Cb8gj8QQNkYf8AKkbxHArY2yflThpSKxOCfxpf7Lj+lUlF7i5hi69byc/MPqKc2vQR8neR7Cnf2TH97Gfwp39nIygbeKrlgHMVm8SW7NkJKR/u03/hJLcdVkH/AAGpv7Hj7LS/2PH/AHaOWIc5W/4SS39JP++aafEkGekn/fNXRo0XpSHR4fSp91dCXIp/8JFB6Sf980o8Qwekn/fNW/7Ii7U9NJi6ZpaCuil/wkkC8bZPypp8SQekn/fNaDaLFu6/pTf7Dh70XQXRR/4SKD0k/wC+aa3iSJeiOfwq8+kRIcCnf2JCy85zRdBzLsZv/CSRMPuOKqTa4gmEmxse9bf9i268Emq82lQGYR5G3bnkU00JyiuhRXxFHt/1bVFN4mit0OYZW3DA47+lan9i26r+Hbiua8ZS2ei6Dqd9LhY7WEuM93I+X9eKHYqEoydjy/4sfEmfVIIdEsFmt41BkuZSBjOfu9fSvINQvi0YCsPqKS+upLgtcS/62b5n5Oee34Vj3ErcZOTScrI9OnBLUWZyzHuaW3BLgEYpIxuOSK1tJs/tV3GgXILYPtXI3d6m8m0i5ZRlkMYGc963dH0MyTLkZP0rSsNHSNgNg44zXYaFpabkYDLfSuSpU5Qpx53cl0PQ1VY8L8x6jHTmu80fRY7eMHblz1NR6TYiIb2T610WmhZ1ynIFeVUnzaHv4eBd0y13yL2A9q6zTx5Q+U8Vj2Nv5eCeK1rdwnHWs43uejy6am/a6geMr+tTTXHmKRjFY8Mu1qtG4HNdaloRKmuiI7iQbuuKryMRwDkU6baeepqLO5emKUmaqKsRO3FQscrUsq7RUBPy1FxqI1e/NVZsbyMZqY/lUEn3ic0iuUrzQqy9KzbizDH2+lasjZXFVmXjkVLFyFFY1UYxQFAOalePvTQhNQHKNVNzZplxCOasLHjnNMnGc0mXFFRYQy5z+lPMI2ilX5VxTuCoqJIvVGfcW4JPNUpBsGOtac461SePcM1k0dMUQf8ALMcVWmj3e1W2UBetV5KkpooSW/Oc/pVeWMYxitFh8tVpVHNBm0rGXNbArn+lY99aZ3f4V0cijbis+8jG01SbucVWCtqcHrVqrRn5a4y/h8skivSNXt8qwxXGalb8kY6V7FGpofNV4O+hzfnOjbccCpY5N3Uc064hw3SmJGVrsTucb0LMMJk4xxXUaDrlzpLH7M/lOCFPGQa5m3Zlwc1p29w3yLxjNWiXqey297dyWkbh8qy5DevrUT/2jJyLhlHYA4rl/D9w1wyRyTOIxwADXXx2AbDRyMcdzzmoaS1OSteL0KezUlJzM5P1qFrfUd5Pmufxrfgw/wArnDj9alMK/WouYxm7nPR2+oFvvt+dXYbG8OC0j5+tbEMSirSRrmlfyNVUZkraXQUYY/jU32e7bnzGHsK2EjXpmpRCPTP41I+dswfsl13kf86fHYznqzE+5rb8ken60ojAPT9aBczMT+z5l43tR/Z8v/PRx9DW5t9qTaadwUmYn9mTH/lq9L/Zc3/PRj+FbY3AYp4BxQUpXMH+ypCOXkz7GmtprQqSZGP1rocADrVW5UMjY5JposwrfTmmYsHYCrS6WzD7xq5p0Jhj2seRnt71eXCrnd+lDC5hNpJY5y1KNL2jGTW1tDc7v0pGVB1OT9KQamP/AGYexNL/AGaO5Oa1dygcHH4UgwwzjNId2jJbTV680xtMRlzzWw4GOlR7htxtoHzPqY/9lxhc4OaZJpsbKM5zW0xXb0qtJt5oBSMmTTYvL6GsvULKOONsA9PWuhlA29ayNQ/1cgPHy8GnqHMzzW6wLiQDoN38s19Zfsxrj4OW8n/T7MwH1Ar5MmX98/OcsR+YP+FfXH7Nce34L6Zz96eVjXq09jlraSseqsu3PfBxTd1Obqw/2j/M03bhc5rUqOiDdSUm75sUtIpM8c8wKOhpPPTvwfSuUWx1Af8ALWQ/jUctlfbiTI/51Lj5nLZPqdebhcYFAbdyAa5OK1u9vLvn609Ybvb/AK1x+NTyvuUorudVxtzz+VAcY71zH2W9ZeJnx9aiaxv9xxO/50uTzG4x7nUtMoYik+0JnHNcm1peq2DJIT9aja3vOm+T86OXzIaS6nXNcYbjkUn2quRFlfsMiV8fWl+wX3eRyf8Aep8vmSdb9qHrSrdDd1rj20++H/LST/vqnLpd71Msn50cvmHKup2DXXoetOE645PNcc2l3jdZZPzoNneJx5kn51SVuouWK6nZNcgLweKjF5jvXHtp92/WWT86atjdL8vnSfnV6C93oztFui2eab9sP+TXHf2feZJE0hz70n9lXf8Az1k/Ok/IVkzsvtRY9cU2S5Kk85rj/wCzbxTxJIf+BUNp94xxvkH/AAKlbuwaXc64XZP/AOuk+2FW61yY0q7x/rJP++qX+yLo/wDLST/vqnyom3mdYdQ/21H1NKt6W/jrkv7Huv77fjSNo952eQfQ0cqJtY617znG7PvR9v8A9rFcl/Y92qjMkmfrUb6ReP0eT/vqlyruGnU7KS6XZ9/Jqg14BcA9eMda5v8Asa9/vyf99U06Pc71UvID/vUaLqUuWWx011qXkrjPG3OcjpXjfx68QH+z7HQ43/e3DfabhQf+WQ+6D+NdjqmmvbwyXFxIfKhRnkZs/dAzjr3NfOmt69Lq91Ley/MZBsAJziP+Fc+3Wq0N6cFfUwb65LMeO/P171Rx50ox19KfPMZG55Pc+tWLWEJ83Vj2rllI9OOiH/ZzEuep9K6rw5p08iq0MZG5txduAKoaLpomnW5uhiBOg9a6qO9MrIsY2r2VTwKzdrEXbdjoLGxAZAz7ieuK7nw/YLFtAGcVxuj27ySoScfhXo+hRABeM15VaR7WHppI37WENGOMZ61p6bbJbqVRcDrVe1UYFaluoC4rz9bntQiki0km7HarMMm3HOaobdp65qRSeuauLszaOpp+ZxkGlWYlf/r1ThbIGTU/mAVomXyk/me9SK42iqTSc8VIr/KKYcpNIwbjpVdsKuM0kkm0moGk3e1AWsJK3BAqq5OKnY/L1qB+lBVhi/eokUHvikGR2qOZzk8VMiuUAoPFL5QXjNMjb2qXOeazDlGNF3zVaZevNW2bA6VWk9aLhYrbfmxmh4f9r9Kft/izTXkGKTY1EqTDC461TdsLVuZg2aozMF4rN6m0SCWTjNVjNnt+tTP8y+lVmGDiosUBkHSq8zdaey5Y/NioJm25HWkyJbETtx0qncHcuKsO/HSq8nzKTSMJK6MTUwPLIxk1yGoIrbux9K6zUm+9XM6lEH5U4NdlNs8PER7HNXUXzAbaotJ8x+XH41s3JPGVyRWe1uzkkKfpXqU3pqeHPRkKvtXJGBU0F6u4YGR9apXKScqRt9qghzGRzWyZJ22h6mY5UPJweRXpVjrtvGUTcSGHXHf0ryDR5xHcQ7mwpbB9/evSNGZWj8pwpCyKw47E4pvzM6kYy3NafXIre+jcqxUAlsCrX9uQNz8y55xilk0yGTUI8qSiq25P73Jq3/Z8Q6IMe9ZytbQxtGJUXxBCrY2ufcCrEfiCJv4Gp62EW77lWI7KIfwD8qhWW4Xi+gkeuxlvuP8AgKsf2wvZWx71JDZR8HbirBsEbkD9Kd0yfdKf9sf7J/Oj+2P9k1dXT4+mB+VP/s+MdgfwpqxN0Zra5tP3CaP7aPP7tjWg9hHx8o/KpI4ECYCqPwqvdQtDIGvMR/qXp39tP/zzYe2av/Y08wn+VTfZU9B+VF49h3sZf9tyYwIz+dQyas+7JiP1z/8AWra+zKBkY/Kqt5b4jY7R+VNWKUijHqUoYlVyDTn1ScD/AFZqTTYd6AsPX+daXlJtxtFOyZXMjHXVLnbxHx9aZJql1nHlceuf/rVteQn92mtaqzE9B6YqXFBd9DF/tC5KgeX+tO+3Xa8Ba1Gthu6/pStDk9cfhUWNYytujJa+u27Ypn2q7rXaFR1GTUbQBvmzj2xSG5p9DHkvLzcRVeSa8bnP6Vtuu33/AApjKCuaaJ5l2OdkmvB/F+lZuoSXLZ3dCK6edQCaytTQfZ5Wz0QnpVdRXR51MNs23P8AFn9Gr65/Ztb/AIsvo/u8x/WvkObLXGc57/o1fXv7N8fl/BnQRnO9pf1Y/wCFerS2Oas7yPUm+831P86O2Kbu3c4680bq3shrYbtwxNLRRRZAeJrtNK3oBketc43iYY/1J/76/wDrUxfE52/6h/wP/wBauX2bRios6RY16kc0n2dew4rATxSOhgbPu3/1qH8UlTxbOR7H/wCtScWWos3/AC9vApGTvWC3ibv5Lj2/yKjbxP8AL/qnFTyspxbN0uFOKafmOQK5qTxQFY/uHP4//WqL/hLD0Fu/5/8A1qOUjkZ1iqNvPWg7RXMJ4oyoLW7g/X/61L/wlA5/0eT8/wD61HKxOm+h0+5cAYpwZW7Vyn/CVD/n2k/P/wCtTl8XBf8Al0kP/Av/AK1HKyfZyR1mEAzUbbeoNcyfGG7/AJdJAP8Ae/8ArUn/AAlQxj7O/wCf/wBanysOVs6dSMdRTdi7skiuWPisKcfZpD+P/wBaj/hKielpJ/31/wDWosxOFjrVxjgUFlXvz6VyR8VPjIt2A9N3/wBao/8AhKn3ZNs5/wCBf/WosyHE6tpE3HI/WnxuvGOlcifFTf8APo//AH1/9anL4sZf+XR/++v/AK1OzJUe51zBGbOcU5ZFVcDBrjm8XOWJ+xyf99f/AFqT/hLn/wCfKT/vr/61KzK5Udp5q+1HmjsQK4tfFsjuR9ikA/3v/rUv/CVv/wA+kn/fX/1qOVsOW+x2fmqVwSKiaYKxGRXJL4qZv+XWQf8AAv8A61MbxQ7HP2V/++v/AK1OMGhOmdf5qkE5qBrhRMCcAdveuVbxTIucWjfi/wD9aqc3iKYsrm3bGQAobuT06VTiEY2Zk/G/xQLLRTo8B23d6BvYH7sYOTx3zXztqUix7lQYTPy89u1d58UdcbWfE09xu2iEeQFPOMAA/qDXm14xaTaOlaP4Ttpx6kdvH5kyjt3PpW/puni4+bpGnVsVmWNuzMgA+8eTXXLCIVRI1xGR8wz1rilub89tBsMclxtVBtjX7veui0nT1i2ZG5v/AK9VbG3LMionNdhpPh+d8ORhR7VnLYcJLmNHR7PLKen4V3WkW3lopzn8PesPT9PMLLmumsxjaOleNWTufQYeSexqW/DYrQjNUYF5zmraSANXM7nrw8yyKbI+2ljbdxSMvmcA80K/U2VhY5TVhZjiqyxsrYxU+zCA559K0i9TRWJo5N3FTFdq5zVKMndmpZJjtxitLjdugkkmWIqI565ozu5pGY9MUxLzGsxam5zxT/LO3NNEZ60FaBwvGM0yTHpUvlk014zipkVcq5w1SqcqDUZjO4ip44TtHNZjIpO9QSdKuSQnHX9Ki8njFFhXsUWUhOtV2BI61fmhPIqrJCVXr+lRLYadzPmU5PNU54yc81fmUjNUZmOTxWRZW8s7cZqCQFGI61a7ZqGRgaYn5FJ2bceKikz1NWiFJqtce1Jmbv1KkjVXd8KeKmkqrK3y4xSM5bGNqiblPOK5m4yspyciun1JxtNcvfSDdwM11Utzxq25VvI12lh+VZ5uDGpA4q7IxkU8VW+zh2YHiu+D6Hj1IrczpX81Sx5Y1nzod2RxWpLamOQgHI+lV7m35rqicLk0yO1k+Q5bBXpXoOh6orrG7HG5FTr3B6154q4ZTt6frWxotx92MtgiUMo/pVse+57jZXCzXDykcBQPzFXWmT1rlbHS75bXcWYbxng4xT002dvvSybvrUOxhK3c6VZkLmrEMyNXKrpE24nzZPzq1b6LPkfvn/OoaRGnRnVxzIvFTrcR47fia5tdKmjwPOkP41P/AGS/d2J9aIxj3JehvCZGYkEfnTvtUaqOVz/vVgLp8q5AZsUn9jySNkyNXRGmu5m5WOhadCucr/31ULXUa/xr+dZD6W6r95jUK6OZGyWbmqdNISmups/aot2S6/nUi3UTfxr+dYTaSwcqGbFSLop6lmzUOBpFpm011EOPMX86hmvIthUuCPrWeNDDc5ao5dJEe7LHA7VPLbc0Vi/a3UMa4BA/GpvtsK8Fxmse1sROu4Eip/7JDc5NGhWhf+3w/wB4U5b2IjO8VnjSV9CaVdMHTaaLocXG5bkvIgT84pn9oQ/3qrSaQG55pn9lqq0aF3j0LMmpW4/jqvJqkAwN9M/syNhyOaY2iowB/pSdhXTHNqEPTdn3qCTUoRwG5p7aYi9qgk01DyF5qVYNCtcahHzk1mahqELWsg34JUrWlNp0e3kc1l6lp0K20h28hc1atcWhwrr+9OT04/Rq+w/2eYvL+DvhwE9d7f8AjzV8dSZPmc+h/wDQq+0PgbGIfhD4YA5zCX/NmFerTXunPU+I7xfuj6UtNHygDrgUtajTVhaKKaz4OMUwbPC20mDp5Y/KmjSYB/Dj6VeN1D/eX86imuo15BBH1rkakcyfYq/2PBuzt/ShtLh6bcfSrKXEb4+YZ+op7TRr1dQfrWclKxerKTaXA38J/OoJdHh54NaX2hPVT/wIVHJcRd3UH0zWXvBZoy/7JgxjafzqNtJgTopzWibiPPVSPXcKjkuI/wC8v03Cj3g1KiabCVGVJP1qaPSLcrnaealSaPpkfmKk+0BeBgj/AHhR7y3FqVv7Et/emnRYPQ1c+1J3IB/3hTluoj/EPzH+NGoXKq6Pb7ANpz9aYdJtwcbT+dWjeRZ+8PzFNa6iJz5ij6mn7w7lb+ybb+6akXSYNowCKk+0xf8APVP++qct5EBjep+hFHvCuRHSYcY2A+5pn9jwf3cVY+2J/fH5ik+1p6g/8CFL3guQf2PBSf2RD2XNT/aY/wC+B+IpjX0anHmL+LUe8S7jV0iDHKUq6RbHgjBo/tBP+ei/99U37Ym7PmL/AN9Uakaky6XapxtyaT+zbb+7moW1CLPMqj8aet4jLkOpHrkU9Rq4/wDsu25OMU3+yrb+7mj7QrdHX8xSPeLHjLKf+BCj3hsf/Y9qyZKjP0rIvNPtFvF2goETceeAwyQf0rRbUUVTl0A/3xXI+NNci03Rru6SQM5jKqqnrwR/Wqje46cXzaHzZqd81/NcXLNzLNI/XPVzWVt3y5zVm4/dwpHjoOtRWcZluB7H86t3PVUeVam/otqFUMy5z0FdPptiJ2DOOAaqWVju8tU5IHPFdLaxrbx7cZPrWdjle5q2dvBbqpWPn61t2N8VGM4B7elYEEgYj5sVqWuwkfNk+lRJKxvGK0OktLsMwGa6KxO5VbOa5zS4Y5ApI+aultU8tQAMCvHrNH0OGjZXNGFqnUEt1qvCNq1ahXdzXKz1kWrfjirSxgc96qxLtNWfMCj3qTSO4rselIuTxTN5dvu1NHlQPlzTRog8vBzmn7d3FIWJ/hqSNGbBxVooheHaetTxQ/L/APWqcWrOPTFOX92DxV3ApyKFWqjM27gcVemG7PaoQAuBjNMAVDtGeTTWXtirXy0jIOuaQ0Vo7cE5zUphCil4BpWYGpa7Fq/UgcDpTPLHNPkYK3WkLBe9KzBq5DJGu3NULrCirk0gweazrpgw+9ipku4kmincEc8VQkXdk1cmYdM1WZgFxWTRav1M+ZTk1WkU1flYc8VA2G7VJRQbK1XkfccVduI85Aqm8O0Zzn8KREmVZhiqki5XNXJs8iqrg7cUGUtUYuoRhtwxXL6lCVkYDoK7G6hyDWDqNuCpNa05NM82tC6OcZmVaiabcoGMH1q1KgXKk1X+zlj8pyK9Omup4tRdCZbdbiMc4b6VWuLQjII5FTbZI8EcVZjlEsfK5Y11RZ5k0c80e1iMVY02P/ToDjGHGTVi8tgshI5z2xUdvG5mVF4Z+B7c9aq4bqyPf7c77ePd02L/ACFNwqtxWFaeI1Njbx+U2URVLA9cDFSNr0arny5M/Ss+V3OWUWba7S2cVZiZOBj9a5qPxFH/AM82H1p//CSKsnEMhHtVcrZKi0ddGqsBz0qXOVBFcsvibZwLaQ/j/wDWp9v4jd3wLdgPdv8A61aRpSYSi7HTKu48jFSbgoxj8awW1xz/AMsG/P8A+tQmtSdPKP4mumNORySvfU3Gb5cYqJev/wBaseXWJcf6on8f/rUtvrUxXHknI9//AK1OUJJaiSNrjzD/AIU7Hv8ApWGdanaY/uCPx/8ArVN/a8veIg1i4s64WehsA4HX9Kr3ymSEqo5Pes86tPxiHP4//WqOXU59xBiKn6//AFqzlF2NUki9pcIgt1Vz8wznj3NWtw7fyrDj1C53HEeR65qRLy5b/lnj8ahR7jaT2Njdxkc0L93d/SsiS9ul4CUgv7raBjFPlRKiazz9ttJuDL92sb7ZdljxSfarxuQKOVFqJrMoz0pjttGBWWZr0jNMaa828n9KOXsWomizArk1XkPvVJpLgrzyaqzNd4JDYHpijl7jcUXJiPWsXWZAtrNjn5DTpHuW65JrJ1ZJ/s0jNwNuKaVmZaXOO3bvMJG35Af/AEKvtb4Lrs+EvhVf71rn/wAfavii7XbbzkHJ2fyB/wAa+3vhDHt+FfhVP7toBn/gRr1afwmFS9zsD96ikxtGc5pVORmtbBEU8DNRMcnNSnkYpnl+9NaDZ84f8I9cD/lq1RTeHZW6yyZ9jXa+SO6jP1pkluuAflH41i6hkcSvhuYcgsfck5/nTzoFyRjcw/Guw8hV4zSmFMZ3gfWspVHbYo4o+HZ88kk/j/jQfD823q3512DKmeuaayr0yBWXtGJtnETeG52zgkfn/jVb/hFX3biW3/U/413MkfoQR9aBbjaPlz7g0+dk3OKHhy4Zs8/r/jSt4an3clvzP+NdxHbj0x+VK0I3f/Xp+0fYy5nc4mPwzIQMsQfx/wAaG8NyxsQMn8T/AI12y269cZpfJQt1A+pp+08g5jhv+EXmbnB/X/Gnf8IvOF+8w9q7nyQvA2kfWl8rK42/rQp36BzHB/8ACNz/AN5vzpD4Zl7kk/j/AI13LQ7f4M0LbqwyUINNy8g5mcL/AMIzL7/r/jR/wisrc8/mf8a7v7MOynH4U1rfnp+tSpsXMzhT4Tn7MR+f+NIPCk+cb2FdwY9pxg0nljdnmndsfMcZ/wAIrOvG5j+NPXwnO38TfnXaqBt+6f0oyFbrj2qb2DmZxEnhGZTyzE/Wmf8ACHzNz835n/Gu6Zt38OffNN59CKXM+iDmZw6+DZlbPzH8T/jTpPB8kmPlP5n/ABrtjwO9IrbvWhSkHMcJJ4NlVXYL09cn+tedfEaF9L0+FN+0yv8AdxxjpXud/cMsZVd3PFeA/GK88/xNDbqf3VvbEPz0Y8/1q029zoo35jym8f8AeMMdzV7w7Gs18M8Y7etZty3zDPJ/+tXT+CbFZJmkYZKnFTLQ9So9LnZ6bCLeEMRhz1/OpZbgdF5NQ3Uuweh6YqtC3zZ6k1KOOKb1ZoQyHcAWwa6HSY13KxfOfaudtVDMN3X1rotN2b1XNZVHZHoUYq52OlqCQV4HrXSWa7gM1h6PGPJTH+ea3rL5cDrXg1JLmPoqMdC4Iz2qeEYAFLGBtHc1IsfesrnYiWPlqsrEOp5qK3HtVleVz0pFx3FVVFSbVPNVyTjOaVZPlFUkaE+wU9JPL4FVjJio2uQvU81aXcaRrR3G6PHSq7ygZyc1RW8AXOevvUT3QI61SRVmW3mHIqJpBurPluwpzmo2usnP9aqw0u5qmalMw29ayPtX+c02S7wP/r1Vi0kaTXABxmo3mHJ3VlNdHrmopLw46/rRy2NEkazXAwOagkvgWI/rWO90W71C0x65pWL5Uas1znPNUppS2earNcfu8k1XN4Dx/WoktAsidpO2aiYZHWolk8xjjpT4mDMQTjFZSiQ2hhjJFRsu2rLyItVLi5i5JbHtWduxnIaV3gnFUp1LUTapFDn94oHuaybjxBAshXzAT9aXK2ZS0RdaLcKrTJtHNRQamkznD8VJNKr55zUtMhNso3A3KaxNQh+Q1uTDg1mXy/IaFdHPU2OK1KMqzEGstbmReA3FdBqUO5mHSuZnkEbkda9ih7yPBqrXUtx3zKx3fNn3q5byDIPrWJvywINXoSdobOPauqx50o3Zs3VuskO8dazoN/2qNhwwOBWjaSCSHbnJ9KVLcLMjf7XSnynNK6PTtHsIJNJtyUO4g559zVz+z414xkVFoUo+xRgjjbV7zk9f1pO5yu9ysunREk7R+VPSxjLA4x9Km8xOTnrSRzoDgsoP1qLMNR/2NGbgYq1bWMat0B/Co47qNSMsv51aW6hVx+8X866Y81jNtkrWcZYnGKcljH14/Kla5hz/AKwUxryJf+WgrWPMRyoVrNCxxjH0p62qKpwAD9KYL2Hyw3mLn0zTBfRtnDLj60S5mhqPYdHCN3IBP0qc26nsPyqrDdxbiC65+tT/AGyL+8v51hLmLUWOa2U4xgH6VBfRlYcjBP0qX7dCOrjNRzXkLJ99SPrWfvG0I66kGnL5kILL83P86trCo7VXtr6Bc84qX7fB/fAo1NrIdJErGmiBR/8AqprX0Q53Aj1zTP7Tt/79GonEe0IUk0zyx6U1tRtyud9Rf2jB/fqlcnlLBhQryKiaFdvHSoZNTgA+/TP7VgCfeqrFKPcmMI29f0qGSMbcZqu+s2/I3VBJrFv/AHz+VJ3C3YdLEBnvWJr3/IPlHQCr8us23I3H8qyNZ1CGazkCNktQr3FFa3Zwtxg29xn+438q+5PhXD5fw18MjP8Ay6L/ADNfC9yx8q49o2NfePw3Xb8PPDI/6c0P6V61PYzqW5rnQMny9aavAxUjelN2+9akK3QSiims+DjFLcbPAf8AhIrnB/0YCqs3iq66fZhx/n0r0c+FSc/ulH4Vkap4bW0YFlGW7babj5HFGtFnHR+Kp24Ntg/73/1qWTxJMSR9nH5//Wrb/suMH7oH4Uv9mR91B/CueUo7WN1K5g/8JFN/zw/X/wCtTW8STL/y7Z/H/wCtXQf2bF/dH5UGwixjYPyqOaPYbOXm8TXG4Yth9P8AIp3/AAkVyRk2iZ9810LaXC3OwA/Sl/s6HugJ+lPmhtYk5mbxXLaxSSy20ccUaszSNnaoAB5P5/lUsfiySbBiiVkPQ7SB/KvXfgb4X0rxB8XvDml6naR3djOl0JLWUZSULA7fMO/X/wAdrN8ZR2s3jTxXFY28dtZQatNHBHEgChFcqAPyr1IYeM6fMkeRLHQjW9jbU82fxTdQqM2qN74NEfiiaTn7MufTp/Su1XRVuJAu0HJ7rWovgWBsNsBc/wCziuaNJS0S1OmVRR1bPO/+EkuP+fZR+P8A9amv4ouVxizDV6HJ4GUEnyh+VOh8CxSbQyba0WHl2M/rUO55s3iy83bfsQA+hpy+KbkICbZAfcGvVW8AWarg53fSqdx4Bt8kqFI9+tP6vJ9BSxUO55ofFl12s4yPXmmHxVc55s0r0hfA8SjAiUj1xT08EwNwYVB+lT9XfWIfWY7s8wbxXdbiBZx/rTW8TXe4/wCiJXpV54Lt4clYlz9KyW0WFODGAfpWMoKO6No1Yz1Rxy+JLsqP9Gj/ACNSf8JJdqv/AB7L+Fei6T4RtbyHeyAEHH3avnwbacgRDjjpVRo82yFKvCLszyj/AISC5f5jaqT9DT18QXargWiY+hr07/hEoB0hUD6UDwnCTjyVq/q77EfWYPqeWv4jvNxH2VB+Bpv/AAkV3GD/AKMh/A162vg22ZBmBc+tVrjwdGuQsClR7Uvq77B7eB49eeJbqRo0Nsgw+cbTzxXhPju8a61e+nOAZHwQPYAY/SvsGbwxDbtJNLbqFWORvptXNfFviGY3Eks5/wCWsrtt9BuOBXPKPL0PVw8k2clJu8wnqVGf/rV6X4ZsxY6WjH77gOeMY9q4PT7Nr7UYYVHzSShfwr0+dRCojUYCjb+XFcktXY7akuhnTSNNJjPOasRRlcDNMk2QKXPU1R+3kycHP41SGvh0N63b5gMV1Oh2e9gx/h9q5PR99xIMMMD2r0XQ7fagU8k9683ETaVj1sLC+50mnRhEUj06VqW7BWFZ9v8AIoHWpy3cHkdq8d6s96CsjdiK5+9mraSLt5GK4q81qW1BI4ArFuPH08LBA+AParVNy2LuenLqFvb/AOtbZmrK3UTr+7bcD07V5HL42SdVefLAf3etbNj41tpNojEoHuMVt7F2No8p6Hu+XHcVD5nviuZh8ZRRj5o2b33YoPi61diSdnsWo9m4l6HUiVSuM81SmcMxOcVz114wtYkO2ZcnpzWLN4zAlKtj2YP1/Sq5GyotXOvmuBHxuxURuCRwcj1zXKnXEuOd2D9afDrW47OR+NTytM1RvXEx45oWQlRzWct0JVXn8amjnByM9KdgLZmx3prSFqrNKOu6lWYbR3pAiR32r96q7zcdaiuJC2T0qjJcbeKdzSJoJJu4zTJJgOM1RWbbk5zUEt0M9cZpDlJInuroKp+bFZ51FFyS2KydQ1oCZowa57VNeEFu2Gyx7elWoORn7Sx17eJ4Ldsbt340v/CWRIpbdgfWvIG1iVvmL55pkmtzOp5wPTNV7F9TkdZX0PTb7xnuBKOMfWsO48XSMD8361wX25ieX/CmNfvuIB4qlRUTmlWfU6+bxA8/Xn8apS3fmNuztP1rEindlFTbyF61XIkR7VHSaTqBWQAvxXTW9x5nCtux1rzaOZg2Q5H4Vr6ZqMkMgG/g9a5KlMuNXU7aS4G3pn8aqXUgZOlMhkWaIYamTKdvWuJrWxUtVcxtQjDdPSuC1ZvJnbJ4zXotxFuX6Vwfii3Cbh1bNd+Hlb3UeTWiULe4VyvzZPpWlFPu+XFcpHM0MmMc/WtvTJvMblua9VbHlyjqdBYzFWzWzD0DnnvWLZp8wrbt13KFzjtmi5zSO8stNkks42WRxuUHg4pn9hyE/NLJn61saHhtMt36jbj8jir6hS3p7U9baHn3fNoc8mguB/rZT+NOXQ3L8O2Pc10e0f3gKVEXdknP0qG5Fc0jBk0OVVXEjUsOiuZvmdq6CTbwMGnxhR7GuiEn1MpXKK6Odo+c0jaXjjca2FYN/F+lBUFjxn3rXm7GV2jCbQ95zuYip4NF2x4+atoLtXt+JqaJl8vkrn60nNoqMnfQ55NDG8k7uasLosaqAS2a01bdIccj2qyuNvSudy1NVKRi/wBjL2zioLjS0gVn+bcK6Bm5qrfKJISvc96OZmkZSvqZdrYrIm/PX2qX+yYm5Oc1cs4fLgUE5/D3qwqrjrSuzSUtdDOGjoVA5xTDo6KcAVq+YEHBpnmbuc0ieZmY2lx9MVH/AGXGvG3Na3ynqeajb73DACh36FKTM1tJjZc7ahbS4guNtazMVGOtQMxbqP1qbyHzMy/7Ni/u1DLpsXPy/pWswA7Z/GopMNz0/Gmrku7MSTS48ZwPyrH1yzit7F3C/MK6eeRUyP61geJGVtNc5xVxu2ETzq6b9xMf7ystfe3gFfs/gTw3H97bYRnP4V8D3S7beY5yAM/mcV+gHhGHy/COgLnpp8Q6f7Ir1ofCYPc1jzj86Wg8YHtSVY47ibaY0fzdafuoxnmkORTbylxlhz71yXjS5hhuoY/NQZXdkmukudHeRVDFsVxnjrw+JLi1H8IjPUc9a+hrUoKDPk8PW99XMF9Qt+plj/76pv8Aadmf+W8efTdWPN4d5IA+X0qH/hGl67ADXy04xvc+qg4m22o2u4/v4x/wKj+0LX/nvGf+BVgt4ZGeVzSL4b2twOPSs7Q6scnG2hv/AG+2/wCe0f8A31ThdW7YPnR/99Vjf8I6PT9Kf/wjS7QT39qqKhzKzM9D1b9n24j/AOF+eDdrq2VviNpzwLVx/wCzfpWRpaw6pd3twdqme6lmbJzkmRjV39mvwvJD8efCt1CGIWO93kDIQG3YAn0yQRWL4T0SdkjEhZZSW3r6NuORX3GEpQdNryX6n59iOf6430Opt7OGNt2FzWxZrEyjOM+uaz49LMexDwfrVuPS2jbjJ9q3o4WO9h1sU27FySONuarmOMSKN2M1YWwkACg4/Cq9xpMiyLITkV0/V4I5I1m5Cysm7G4UNHGIxnafwqs2luZt273xViTT2K4HP40vYwLdaRCI0bPzBRTf3Q4zz61IulOUORg1B/ZkirjOaw9hHmNfbtxsylqXkhD83UVyck0LN94Dmus1PSmaHcRziuLl0VmmODxmvJxVGKkevgq3u6nTaDdIIJArZw4z+Va1rcLJuIIIyf51ieH9HdI2QHBJyTitu30N442YNwD0xXRh6cHDU58TVl7TQkUo7HIxTQ0Qbk81LDpskYHvUn9iszZJ/Suv2MDk9rLqR74uxpWkj2kE4HrUsmklFYhs47YoXQmuIyWO3imqMTN1jjtdvEuLPULdHAJtZin/AHzivg3WsGTyh/yz4+p7197654Xa1tZpQ/zskirx22/418Fa9GYNXuYyNu2Qg89K8PHUYKF0fT5ZVcnZi+E7RW1QOV+ZOQ3pXX3TLtLk49axfDkQt43fqG6NTdcvyfkjbjvXy8UfVW5mQarqSyNtVvlFUI7oNIoHFVJgM8nFSWskYmTvV7I64pHe+Frffhsnk16npcPlxr9K888G7ZmRAMD1r1Gzh2qPpXz9eTcrHuYeLWpPDJtAzUOoXHkwu+7aMcVJMCseRXK+KNSaOLYBkD3rnjHmZ6DdkZep+I7jcwDZTstYdxq7SnlADUE10biQ/Lt/HNC2vmc4rvp6HNKoyKW8aTIDbT7UPqEioP3hB+vNLcadJtygqi1lcMmCpzW6aJjVaepPH4ikiba07cdt1WG177QvyyHP1rnLrTZtxJQ5NQJaTwkkA09DX2xuya1PCxw4x3Lc1WbXnkYc5P1rIdpWO1lJqJo2UggYpOwe1Ox0zXpo8b34rqNM1rzNuGBNedWUzLGobmtWzvvJk44/Gs3FbnTGt0PTotQJxn+dWo7zvnrXGafqwkVQTz9a1o77KgKc/jXLI7YO6uzfW5LN1q1FcYUZrGtGJxuOD6Vckbb0NZmhYursbjWZdXWeg49c06aRcZNZ15cKFwO1Ayz9s2Ljr+NZ99fbF3Z4+tUJr7k/41kalfMwYZ4+tUldkS2KWp6kfOcrzjv61zF5dSTyMWOa0LljuJ9apyW+4Zz+ldcWkebUlIypJCCQKQLJIAB1NakNiHOSOfpWnZaarMo2498VfOjgm2Ylnos9w3Tmtm38NsqguuW78V09jp6R4OMtWpHa7gMDisZVLkcrfU49dI8vHyY9sVL/AGMWXOMD6V2X2FNg3dfpVe4hC5CisnIOR9DjptJ+z/MTx9KrlljYfL071091b+Ypz0+lZVzpqsOOPwqOYuMZJ6lnR7hWYDfj2rbZAy1zdnbiF155roVlBjArjnvc7FK6sVZ4vlbmuG8YRhIyc81306/KTXC+NIC0LHOB9KqjJqRhVjeJwTH161e0+Q7lYcGst2O7FX9NbovpXvxaseHNu52Wlyb0Qnr/APXrcjnEa7ccmuX0mbbIAeldLGqybCOaXU55bHbaHrMkOlQIIS2M87v9o+1XP7emVuIH/CrHh+x3aTB8uBg9vc1ofYR/kVV0jglZO5lr4guGOPszfiKlXWrrcMW3H1x/StWG0ReuasLaIzZ/pTUovoZuS7GV/al2xA+z/wDj3/1qm+2Xec+V+tbK2qkjgflVpYUPG2t4SV7EcyMBNQu/+eP6/wD1qsR6hef888fjW4lqmen6VMtmmf8A61bXXYy59TAkvrzbny1/EUxdQu9pzCtdJLZrt6ZqBbcKp+WlK1tio1LM56G8vHkPy7ati8u8dK0YYVWQkipmgVjnp+Fcjkr2OuM00ZDXN31xUE15dcCt4242/wD1qoahBtTcO3tSbK5rFH7Vd9ulHn3bclsfhWpawFoUyOan+z47CpDmMJnvm+7yPWoW/tDdXSeUqjnrTPLRuc4oJbOe/wBO7tg1Gy35YkHIro2hTr1qFo16indoRg7b3GCeaa0d9swPzrf8tD1X9aa0a9BxT532GjnGW9VcFuahkivGGd+K6KW3H1qBolC4xRz36DOamt7phy/NY+tW8y2L+Y/H0rsp4RzjpXOeJgE09xVKWoK555eEC3cLyPlH/j1foT4bT/imdDHT/QIv/QBX58XQCw8DIZ1H61+iPh2P/iQ6MmOlhF/6AK9mGsTmnpOxNJGVwevFMPFXbhNoX6Cqkn3zQ0EXroR7aM44paa3Wo3NNTr5NA3RgAYOcdK868bWvl3cf3eFKYNet+dN9qwU+7g/nxXivxM1C6huyqICUkYdOvJr7nGYdKm2fnmBr887SOQmh253Lk+xqt5Wf4WrIu9Y1DcSYY+vcVUOtXq8GGPP+6a/PqkHdo+7guZI6Aqq8Ec+5pUjVjnj8657+2r48iNB7baVdY1DdxGv5Vhy9DXl8zqFUdMDH1pZFG0cgCsKPVr9ox8ij8Kf/at8i5eNSO3HWtaUPfRlVVovU+mv2KrWG48ReOLt1V2tY7NEYjJXcJS2PTO0VwdjAs2u3TBVQNczYAPQeY1df+wreS3erfEgTJ5TN9gGz/gEvP61y3gnzZdb1gTQhvseoT25B9nY5r7vLaLlVqQv0R8Dja8aVr9TWh0prrVrS3BXdIW5z6Vux+Gv3xYnr/CB0pNPSRtctBHGqzOWMZx0G2tq3afzvmHPQ8V76w6hoeDUrdYmd/YLIcBcilbw+LhlVyFrd2O2TUEnmrL8oB+ooUInJ9Zmmc83hmKPX5IPNyI7TzNu3rliPWrs3hRf4XAxx+XFOZZ5PE1xIBybNUIHb5s5q/PdTKSAASCeopqkjo+sSaMFdDG05KmoBoILE5/StmNp1QgqCee1ETSY5XBrV0IsqNeXU5LXNLWKJsAk+mK4S4swtwRg9a9O8QedyVH8Jry+aa7805XJ3H+dfPY7Da3ufQYKsnE6nwrpS3EcshONjBcY611MOjK0TKBnNc94JaeS3vQyYIZW+vArsNP+0EOSmFFa4HD3W5njK3K7lJtAJjBAqJtLKkKU/Gt5Vlk/h4oaGZmAVOa9n6vHqeNLGN7GLJ4ec2srLtLKM4Jxmo/7CuFso5cL8wyV3V0bRzorFkx8uDxUUEc01vwuSPakqENzP6y3qzhPEGgtPompSlMvHbM6DP8Ad5I/HNfmv44tms/G2tWx6CYuPbIBx+tfqdcQTys1s8ZPnq0Rx0G7AzX5p/HTRZPDvxi8V2Mo+eC4KemRgYP5V4WaYZRhdH1+S4j2k7MzbCQR6ao6fLWDfXQVT8uTnrmtq3IbTYTtxla5vV8rKygcf/Wr890SZ+h09XcoXFwzZ9afprFpkzzg1UkY+lWNMY+cny9TWNSXu6HXTS5j2vwHbfPHzxj0r1O3UKorz3wFan7PG/t6V6FGdqjvXg1Piuz3qXwoZdyLGCp9K4LxA3nOyqdxzXbanINpbHOPWuTa3Elxuz39KIaO5rJuxh2mktJ1X5vpWnb6ScAFcfhW7BbqrZxirkKovXk1tzNHI07mAujgN8y8Usmkq3CLhfpXSsIyvtVeQovQ8elHOOK7nM3WiqR9zn6VkX2koM/Jj8K7WVxItZV/GMHp+JxScmbcnWxwtzpYXLAfpWXc2w6Ywa6zUMRoeR+HT86566ZNzZYZpKTDlZQjjwo5xUiyCPAIyfXNMaVVOAc1DJIN27NXF3Hy6m7YTBWH+NdFYTKMEHJrhYbz956fjXQ6RMdwJbiomerTeljsbWViQavNJ8vXmodMtTcBdnP4Vu2/h95uS20+m3/69YcyN0cxeSHkA1kzyMq8nNdbq2jmDPG78MVzeqWvlLjpx6UcyKVjnbydssw/nWXNcbs5/nS6ncNHu54zWM152J/WtYu5hUkXZGD0IBux1rPN6iLyeahk1hU5Uc/WuhRZ5023sdFDCBtyK2LKBVx0rgW1yfnD7QKjXxVcLyshDU3Bs5XG+56rGyqwAyfwq8swj4xXksXjq/jxufeo9sVq2vxGXAWaJl9WBz/SodNnRHlij0g3isOR+tQSSB+i/rXMWfie11FQ0U2WPUN8taUd98o5OPXtWMom3KnsXZgAv3eapTKCv3cVKLkNjkN7g0jyBjjGKwYnTMuRSJCRwKuWjl8Uk8QpLUGNvWs5GfLysuuvmKR0rkfGVv8A6A7dxXZw/MpGKwfFNn5ljIM9falHcmfws8WkyJDkVc084kzml1CDZM4A6VDakgjivbpvQ8FnS2OfMGDXXaLmZ1TOSDXHaUGwpYYHrXaeE4xf6pFCDjPWtkc9RLlPWdLu4LXT4ovMU7R6++amW+t2GTNGD6FqzV8MpEm3LGoG8LRFjyfypu3U8xyjc2Vv7beR58f/AH1VqO8t+0yn6Gudj8NojYHT6f8A16v2/h9OPvUk4ktxZvRX0C4HmL+dSrewM5/eCshfD6Fv4hV630NEGME10QUW9CHyWLq6hCD98VYTUYOu8fnWd/Yig/dNSLosW0ZBBroikc7smXJtWt1XmXHtVX+2LbaSZePpUc2ixbelVv7Ej2EYyKckrArNk8OsWrMT5ufwqQ61a/36pWuhxf3akbQ4RzjFcErJnarJFhtctum6optWtpk2hsnvTF0aHb93NV7vTYrddyjBJwaV0xpotprdsuBvxjtTpNYh+95nH0qvDpMOBxn8KlfSU24A+X6U9CtBja5bNx5hJ+lN/tqEcZJpV0eHH3Oaf/ZMSr93P4U1bqGhC2uQ9Oab/bVvtxmpG0qIn7o/KmHS4s/d/ShuIaDG1q3Rf4j9BULa9Axz8w/CpzpMR7Gj+zol42g/UVPMilYqNrkLEjcw/CoG1aJlzkmrzWMaknYp/Cq7WMbZ+UD8KLorQoTatHg8mue8RXyXNm6gnNdNLYxEfdH5Vz/iS3SCxYqACfamtxaHESR7ljXPWRP1bFfov4fX/iV6WuMBbOJP/HBzX53KT+7J+YiWMfXDA/1r9HdJi26bZcfdgjH/AI6K96lH3Tza0rVBt5w1UWXc2c1dvD89VKqUTWmyJhg4pu2nt9402s7GzZ681qi3G487sdvTmvGfiPao107eX1kY/rXstxdIxGD36/hXj/xPvIrdsl8L5m0n0yM195iIuVJn5bhX+9Vjy+9s0LnjH4VUNhGeoH5VNea5ZxsyvMoIPeqja5ZsciUEeor86rRkpM/R6KvFEo0+L0/SkFmgbgDH0qL+27T/AJ6Un9tWm7PmVycj7G/KXRaqBj+lSfZkkVVI+77VR/tyz/57IPYmpo9asvL3ecD9K2pRfOnYwqaRPob9jeFbfxN40I4823tmP/ASwz+tZXh62VfGvjJEOFbXLxwMdVMrgfpUf7KXiG3Hi7xVbxycvozT7vTYyj/2b9Kp/D3Vkv8AxZqMpzsupJJi56cuTX32WX9pOp5I/Ps0pxbsd7p9uE1q3AHMYLbvXjGK1VjVZDkZasKz1BZPFUtshyYrbzC3Y84rWS8j+0MGcZ9q92d3K54UUuU0o4VfGRjNRXFltYMp6+1OivY+uaiutRRnVQa5kp8xi+Uzo18vWpn7tEFP4c1Yljjxnbyec1TjvIzrVxGT8yRBvrmrk0o25ros7nTGMUrkMca5PFII1yTtqIX0a5z1psd9Gyk5xWlpdDWPKihrSrsLHjjpXm00S+ceP4j/ADrvPEmowxwjL4OcdK85m1WDzmw2RuNeXjEz08Idv4LjXdP2H86623X92VHANcB4R1u38+WPdzXbWepQOrHd0rTBpqJni9ZWNSDavGKkbarcDmqCXke7IbIpZNQRfeu/kbZ5ijBaGkZd0ZyAaitXXaVAweaqx30bLhiVz7VT0vWre4SRgdrKzKR9CalU3Z6D5YWLDb/MBTAYtg8ehFfm5+1rb7f2h/GZxjdPCcf70Sf4V+isWvWcaeZPKYh5wjztz1I5/Svzu/azZm/aE8Ru3KTNFIvuAi152YRfs9T6HJnGNS8TzPT9Sims1hxtdRgc9c1cuvDUrRNNIgXIzXOwxmG62/wo+AfWvSmB1K3VEf5Qg/lX5biJcjdj9XoUuaN0eWXtkIZGBOPwpLGMJMmPmA5/Wun13SVjZsc++Kz9KsUVjv8A4mCrxXJz80TSMXGR7t4Fsx/Yds/QuuenTk11Cx8Yz0qr4fsBa6fbRg8LGvb2rSkUKh9a8mprLU9+lH3TF1VSVwO9ZMdm27nt3xWpqDNu4ORUTP8AueuDQpFuJFIyxxjnmq4ulU9f1qleXW0sC1ZFzqSQbmY5Ud81qbRgdLJefLkdPrVS4vgq5J2j1JwK4LWPHqQI0Vtukbpx0FchqGtXWoRsGkc/icVSg2W6aSu2eo6p4nstMjMk19EPSONtzflXHat8To3BW0ikd+7ScCvPWJjySql+56mqkl0zMEwx/wCBV0xpW3MpVoQR1N940urpSTIpX0UYFU5NSnk+YEkH3rIMJWMZGea6/TdMWTTUdlwSD/Om4qOyOOWJT2MH+0JF6tUi30jAAHPvTL+1CyECo7eMqwBqDSNS6NKznfjP510uh3TNcIh6E+tYdtZs0akDg962tEt2W8j781hUtY6qVX3rHtHhmMJbRsOT/wDXrurG1LQ78ZJHTFcT4VUtGgNemWqiO2GBjivOk9T1LHJa1bn5gVwa8+15QI+eozXqmpRGcknrivLvFkfks4/pSuXZWPKddvMM6heQfWuf3SSMSARXQajb7rhiwyCaia3RY2CrlsV2U32PKrTaOZupSrEHrUdnbvdTKB3rU/stnYsxyT7VYs9M8mZXHH4V2xmkcTk7MWfSfIsXcrlgOlc190lgOPSvQllVoCjrnjHWuPvrBopJNoyueK6ItPY81ynfUx5LppGKquKWNG2gsSW7in+UI2OR81W7C1eeThcrnrV7bke0knoTw2UoUOAw7jBxVu3167sWC+YcdCrcitOQCO3CpzxWLdWjOS54b6VyySZ6NGtI6rSvEkU21SNr9xnit6O7SRiQf1rzG382KT5TgemK6LS75lVdxOa4pU+x6UailoztPMVoxzzT4FDN1rEtpzKRtOa2bKMtjJwawkZvc1beMY61R1i1863dfXjp7VoQjauOtNufmGMdOay16EyV0zw3UI/9ImUjDBiKr2FqWmxjH4V1XiXTVt9Rm+Xg/NuqnDCkOHxk4zXqU5ux4FRcsrDZoJLeOMKeO/tXWfCaZbrxlBD/AHUZievQZrgNc1KT7R8j7VGOPwrqfgrdSf8ACbR7BubyJWx9AP8AGu2HvGNWL5T6HfG3JYDPOPrVZpBuPzCsRdZvWUosakrxyPSmrqV83WJQfpVygzxlT03NxWG77wq5byDj5l/OuaXUr0Njyl/Kp1vbzzM7F/Ko9mx+zsdXG2W61ZRwDXLxXl7n7tWY7u8bkjFdUFYiUE1udJuz3pRt9f0rCW4vGp6z327b29cV0xj5mMqem5tOy7cVC2PLO059qybh77bw36VVZtRWI4P40TjpuTGCTNiJiuaf94VzkLamyj5v0qb/AImX96uBw11Z09Db+7xn9KqX0PnKPmxWcy6j1J5qtNJeKwDtg0uS2w1odDbgeWM9RUjNleDxWDCb1ujcfSlMN+w+9S5WWmmbi7dvJGaGden9a58wXy8F8Gj7Netz5uPwo5X1ZWhtllz2/Omtjrgn6VhNa3u4/vf0/wDr0vk3m0DzW/CjlXcasbPmL/dP5Ux5EHPSsf7Pd/8APVvzprWt03Vz+NLlXcrQ1JJEK5yPzquzgKTx+dUDY3GMliahktJsfeIpxhruOyLEzqAcsAa5jxW4azIBzmtWW0m2/fP5VgeIIXjtcs2cdsVvCKvuKy7nM2a+ZcWyn+KeNfzcD+lfpJp+EtIExnESjP8AwEV+b1n82oWQA63MA/8AIlfpHZr/AKPEf+ma/wAhX0NFe6ePXd6hS1D5ZCap5zzVzUOZCKpkbRWc7m9Iay980zbUmdyim4xxWTOi56q1ugIHvmvKPifpcN02w9N+9h68V6nNN+9PYV5p48wuoOGbKlcjj2HFffYhtUmfmWDpWqo8Z1DQbdt2d2ck8VR/sG39Ca6bUNm9uf0NZ+5PX9DX51iJPmdj9EotpJGT/YNv6UjaHAONtapkUH1pyyJwSQK4+aZ0XZmr4eh2/d/SpV0C2Ee0pkmtH7QvY8VPDIjLuJ6exrajKXMYVFdHpH7Mvhtl8SeNJIPkdvD0kMXGeWYc/mv61H8I7Awu1xOpH+iKAp7MeCfzzXYfspXUf/CwNWtiQfO0okJ64lHH86yPB7p/aV9axNvVAygjjgSHFfc5XO7mn5Hw2Pw757mtp9m0PjS7u1OQ9sIdnbjHNa9uscl9JkYOAePpWfpdxt16637iApAwM1PDMP7RkI6MAOfoK+kUrngTotbG4sKZ46VHPbICG70scgwMHPFEknOcVir3Of2LuZ62iHVpZc4Z4gp49Dmrs2NvFUfMLapIeg2evtVhWLLnPatfM6uT3bFaSAKpPrUMNuGB+XNTTSb9wzio7eQruA5q+dJE+xbMXWraOZdrJ0Oa4O70uDzWwuPmNeh6ovXJ7Vw90w848968bFz5z1cLTcdy94Z0+G3lZgMk+1dpp8MaxlTyTXJaH/rODmukt5vLbFLCzcFZs0xNK70NVYY+cU5Y1YA4x7VUin2sST+FT/aB9K9iNRS6nkSpO5b8tCqnHQ9KytLtYIRccc7yf1qz54z1461l28n+kTKDwTmnzWW4lT7k7WVu0ZjZAweQOePQ5r4a/bSsobb43W0qLhbmzUn6gV9xTXKx5wckLnFfGn7bFuknjLwzeAfvJIWU/h714uNqc0Gj6DLKbp1L2Pm++UR3JfGFznbXS6DqbRW+8cjoRmuY8QSfLEQMbxnNa3g0C6hukY/MoBVfWvy7GJ62P17L5XijoddhSSwE64O4ZxWB4fsZL/W7KJRlWlAI/u+9dpqWkBdLt4uWZlyeOmad4J0aODXIyeBH1bHevLpyfKdFSNqh7DaW/lqF/uqF/IYqK+jdVZtvy9qv2Ee6MZ4NWfIVoyCM1wVG+Y9enFqJw810rM25cCsHUtT8qRwrfL/9au41jT4hC7YANeca1a/OwyAD0pxszeMddTH1LV1CsS/NcPrutzTKVQlV+vWt++0+SdiuO/XrVOfwyzICf5V0xtYbnGJx8CSSODlselb9nbo1vtZOCO/Wpm0hrVvu5H0q5bqkagMuBW8aiOKrJzVkcpq2jvZsZE+eI8jistYQ3zBDu+leiyLbyLycj0xVB4bSOQkAfTFbKr0PMnSkc3pumS3TqX+VQc4xXVzTBLURouwAY61Gs0YUeWuSaVYWk68U3NMUacrmNNal2yeefSrEGnq2CeD9K1TZBUHOfwqPiNwMcVhc7YqyJ7WHaoQdBW9omnl7kEDofSqem2pkkGBkfSu80HTVEK8fPnrj3rjqSuddCDk7nceFbECOP5csa7y8s3ghXAxx0rmPDsZt0ibqc9K9H1CJXsUY8naOa5+W5692lqcPd4SEkjkDpXlvjSQHoOhr1HWm8tZMV5V4sUsx+tc8r30OmMeaJ55qdr5wJAwfpWX5flqcrz611kluGWsvUNPLKdvH4V0U5M8utS7nPqu9uuD6YqXyWXHPP0qRrcwsc9as26iRQSefSu1bXPNcNbGe29f4c1DIQ3Lx8fWuiWyV1HY/SoJNNBYjGR9K0UmHJpY58Q2zn/VL+IzUypBCo2KFPsK1v7IUHO39KX+y13fdolIlUY3vYyeJPurgetM+xF+v8q21sNvRcCnLbYbkVm6hpyfymRDo6Hk9fpTpNP8AJfK9PpW9Hb9MCpWtQwUEc1DqaDjFp6mRZW7q6kHH4V0llG64JG41FDYlXX5eK37WACNflrnlK5qrkManaDjFLIuVY4rR8sKucVWmxgn1rMqzOD8X2+7a3qMVhyRJ9nQhf9WvPvXVeLowbUNnpXMLn7LOQMgJmuyg7q55FaC5rs4LUpvOkbtzXX/A+9S2+KGjwu22O6WW3L+jMuR9en61w90dzE575q94b1NtH8Q6PfA4FreQy/X5iDz24NerSOXE+9HQ+so4UWQts2luSPQnqKmFumc4B/CoLzWrKa5k8qXI4bOMcEZ/rVVfElhGNpuFBHrkGtZXPn1dGp5KNjjFSLCof/61ZS6/ZNhlmyD6CrMeuWZbAlyfpS2FK9jWjjU9qtxQD0rKj1i1VR+8/SrMeu2/Z+K0jFsxafU1VjC9qfhf7vNZy69anq/P0qT+17bbkPkV1xjIhlqWJHHNV2jUKQKrzazbdd/6VWk1+1jjyST+FKcXYcdy7bwqV61L5IPb9ayLbxBasCQzflUn9uQYyGOPpXA46nYotovSQjOM4rN1GEqybeRmnf23bkZLHP0qC41eGQAqSRQo2BxZp20a7QSOSKm2KvFY8euQqBnOac2vwE9GphGLuapiVjnGfxpjQoOorMOux4yA+PpUbeIIzx5cn5UWZdmabRJ1pm1P8ms5tcj8vIjkP4VGusBhkRsPqaNRqLZqGJTyBn8aY0YBxt/Ws1taC/wmozrW45CH86LMrkZpuox939aryL7VRk1pgOImPuKqS6w7ZPlOKdmHK0Xpl4rlPFzBbXGOWbFakuqMVzsYfWuZ8TXxuIVQqQQ2c1pC/MhamJpS7tW05epa9hX8nzmv0miXbFGP9hf5Cvzd8OqW8R6GCOt/Fn/vqv0k3YA46KB+gr6Kk7QPHrJ+0uZeocSE1U+8vpVy+HmMT0qpt28VlUudFPYZt28Ujdac3WjZnnNY69TY9Gmt5ftADnjPpXmfxktbu3uoGtJXXdg8dOg4r2W4SI3CqWArz34tLGWtiB90V9/WqXpu6Py/C3VRHzhfJrO5i11JuJNURDq3e4kP413d9CGZj05qj5Sha/O8RP3mfo1H4Uce0Oq7j++k/OlVdUX5fNf8a6sxq3IWlWEDnp+FcftDpOXEOqsM+fIKtwQ6qsOPtEn510axptGaesabTVwqe8iJN2O0/Zbvr3Svi6Lu7LPG2mzKMn+7j+p/SofhqupNeMwPzSAxknv8xOar/DXXIvC/iIahIrbPJkhyB/ex/h+tdh4HhW3ZWBwUbHT73v7V9hgqygrrqfMYqk23KSLPh2O+HibVdwZXVATnkHPFW2tblLxyzHOcVs6L/wAhbUDuGWTnj3zUkmGkdgOhzXvwqOSPn5R10ILZLgYBYmrZguXHHSpbeZAoycGra3SdA36VrzszcWjljb3UeuT4ycRBv6VprbXXIxmrTSj+0pCTy0W38jmtCCYNx60+eRVk1qYAsbli3y5/Gmx6fdqSdtdJtXc3OTSW+PMwelS5dyovlOM1bTbxhhV68H2rza8sbz7Q+D/ER+te762Y4o48cMz4P5V5ZqSiO8lAHG8/zrgrLS500ql3oV/CtldtcOG6V0sen3Imye59Kp+HpgLnaByVyea6dZtrKaypNvc6qr5tUUjp1znIXNPWwuePlraW6JUdqPtJyOf0r0IvQ8yV7mQ2mXSkHaTnpWSun3a6hcwEFZEAbH1ANdxHdFmUZz6VjXl0y+J50zki3Dtx17AflQ5NbFU99TC/sm5ljck4+TG6vk39sLQ7r+x9M1dmytlcCItjs3FfZ7SBLSVhyBxj6nFfMn7TFqNY+HXiO2zlreWOdVxngEAmvIxV3E9bCtKdz471nSZZ7eHAxs3DPrgZz+NQfDqYv4s0+3P3bhjFjP8AFjNdFfMFt7ZR8zTcKM9QVAzWX8LdN874oaVF0itFmnbjPKgYP418HjrJM/R8um3ZHs2q2axwklfuDFZXhFRJqwOPlzz71uatcBo5UIzuJJ/Gs/wzGtveIBz1/nXz9K/K2e7Uj76uelWJB71oRwjGM1jafIeB1rZik6VyT3PVh8JXutLjmQhhuzXP33hVJs4hUqvTIrt7NVkbmrclnGwPHWs15Dlex4lqfg8Rsz9G9Av/ANesWfRW2kentXuGoaHHLG3y/jXIalpUVuzDy8/jW6dkYch5Ld6aVOCuRVSTSwxPycV6XdaDDcKSCFNY15o6wrjvVxkw5DhJdIXnHHtiqraKu4kjP4V2slgFH/1qqNbhWI2/jWikTKFkc5b6WkefkqT7KFXPT8K3ZI0WPpWZcKOcGq5mQoszpBxjGakstKe6ZWIwKu2OlyXsvHAHt1rqdP0kRIoZfmFZSqWNI07sh0vSxDtIXOO2K7jS7EJCvG0nnpVHSbESPtxiumWHZgYxXHKTuevRpxitDU0cfMqnnmuzvbhmslA44xXJaLbFpl54+ldTcriLb2A61rHa5c4o4zXJOCpPJrznxEvmBvavSdehDMCOa8916MKHHf0rmludUfh0ORVctSSw7s9qtLD3NSeUMZouZygpbmFdaaJAxxz9Ky2tTC3H8q7KO38zIx+NRXGkrzxk/SuiM2nuebUpNO6Ofs2zhTya1I7cSY4xQuiSKNyH9KetvcQjlc11Rmmc7j0Hppof/wDVTJNP8vJ25FWre4dVORUkchm759qyk2Lk7matru/hqUaeGUZTn6Vs21qC3IxVxbUNjC1m2WonOxaa3QLxVuLSvmG4fpXRQ6aFxlatC0RVHasZTK5Tnzpw4wuB9KlWHb2rUmjCrgVUY/LjHPrUcxXIV5FG3rWddcbuauzN8tULhuDRzD5LHM+KELae57Vy+ktutbmNhuzEcV1viD5rN1J4rmrOEQyKQcjuK7aOmiPLxEVfQ831C32zOBxg9KpYPlybfvbWx7HHBrd1238m8nHX5s/nzWTbsFkUkZHOR9RivXpPU8mp2Ppzwjbx654G0TUNu+WS2RCR/EyfIf8A0HNaZ0KFhuIH/fNcx8BtT+0/Dz7MWJaxvXTH91WXI/U13sePJjUnkKASe/HWrqN30PHmuVmQNFg+X5f0q9BodvkHbz9KsbRuGMGrkLKGAyKyTaMHchj0W3bgpk+tSx6NDuwBgfSr0JG48ZqaPAwcHn2rthKRnJNorx6JDx8mfepH0mBVxsq8sm04w35U6R0YZO7P0rti5WOV81zJk0mDy/uVXfSotmMDb6YrYkkXyzgZqm1wrJ0xUTk7WLgnfUpW2mwAECNfyp7aXE38AH4VbgZcd/yqXcg4rhcnc6lGRn/2VGqDgflWffWaQzRKq/ePNb7TIFxiqV0FkeNwM47VN2XFMi/s2LjCAfhT10yLH3F/KrSyJtGcg1IsyYqXcuzKLabGF6Y+lR/2fH6VfkuEFR+dHtzkD6mod0KzKv8AZ6beuB6Un2GMDpn8KstOh6H8qY0yYxupxbuGpVa0Q9h+VMawQc4H5VN5y+o/OlN1Go2krn/erTUepUazTb6VBJZp6mrUl1HuI3r+dV5bhAPvKfxosws2UprdBkY/OuR8YAQxx7QMnvXXT3CYJ3D8647xpKDDCy8+1awT5h8rW5leGf3nijQh3+3w/wDoQr9HpcDOD2H8q/ObwPH5/jTw6DwDfxr+oNfolKx3OK+gptch5tb3plK4bcxFVic1PIvU5qLy/elJ6GsI6DCvehelK3pSDisWa2OzvNeDXUbANiuN+KGvRJb2bsjnccV6ZdaFaNeITApFcL8YNDg+yadsj2Lv+6O3Nfe15RdM/MsOl7RHiOpeKLaN3DJIDnpisxvE1uy5CSY+lbuqaVC0jjbjmsxtKi6Yr86xHxM/R6HLyozW8UwqxG2T8qQeLIs4EEre4FXjosR525pv9iwq3+rB+tcDkkdPu9iuviyLp9nm/KrMXiWCSM/u5AfTFSx6LbtyY1B+lXItLgjjIVMfStozj2M58tirYeKI1YfJIMdq9B8J+JvNtG8uNhtf7zN1/SuJtNLiMgyOa9J8E6TbpayI65Vju6V9DhZp6I8TF25NDc0bxQLC4uZZYmk8wbcqalk8UhVK+U3ze9SafpdtG12ohV1mIxu/h4qT+w7cbV2EfQ19LTlyxPmWlbQqx+IAzfdI/GrUfiLy2U7cgds1cg0G3xkr+dLJpMIJwnFbRqXMZLQpL4iF3qznymQeX657fStez1UKytgkH14rLg0u2/tFmk3EAYCg4xW5FZwnCg/d74q1MyJf7YHnuRGSOO/tRDrkfnDepQnt1rR0+ztWgl3LlieDWpDpdhuVmiViBSlNdhdDktZ1YzopWPasbBt2evavKdW1otqFx8vSRh196+hNQ0iyl0y4OwKuM7sdMHNeE6lpcP8AaFwwGVZyR+JrnqTjJbFUFrYj8O+IPIv8tbyOGXbkHiunm8RFMFY2x6Gs3w7o1rdXoVkwwXP1rtY/DFi0Yyp49654TW6PRqR01MGPxU7KP3X/AI9/9anr4heRslNv411Vv4XsEwTHke5qaXw5prKT5YUjtXfGemx57jFvc5qz8RN56loGYDncG6/pVTW9c8jxXq86xttXR9wX0bOQa7OPw3pseyTyVJbjJNY/ibSbNfGF2mNqSaMVKqeM5wKUqmtkg5UtjF/tSS38NxSmIzPLDHI3O3BPPofWvn3xtfSeJLrWdLMOEut8IbOfvA8dPUZ/GvqptNtW8JsNuGWGNeefuqB/SvAdQs7RdeXEQUPdxlmz0JYfyA/WvLxEny7HqYda3PijWh9n0/T2VWDWsogfP8LL8pH5g1r/AAtsQni7X7tP3iiw2o3TBZhk/pW38Y9L/sf4geNtLSFY4Bfm6gGeivhsAfjUXwZtReXevSBeFtURvb94a+FzCOjZ+jZT70k0b+oyHzJM/wB4/wA6XRV23SNn8Km1axdLiVdpVQxxUWloVnXmvBpv3bH1laPvJo7qwbbjvWn52GFYtm3I5q953ANcFTc6qe1joNPfkc1rJIoOM5rmrW5PHGPxrSilLc5qIs6/Z8yNWRY5kIxzWBqGjRyK5HLemK0oLraOaJJ1LNz1qnIl07HAX2jSRqSGKfhWDe2eMlmya9LvIhKCCMisHUNGjmQ4TLURkyHHueeXahVyOazLjcBnY2K7mTw40jbSNgHtmmSeE0bqxYe3FbRlqZXS2PO5I5ZDtQEn6Vb07w3LOwaR8f7O3/69eg2vhuGJeIvm9TzU0elLE2SuSfanKStow1lpY5+y0eK1j+583rVy1tyWA2VryWB7DA+lT28CxqoI5rkk22dlKlbUk021WNQ2PmrQjjM0qgdTUUK4YAV1HhrSo5ZlaQZPaiOrOq/KtS1pemNZwguPm+lW2XzIz81al4qxqQOfas1VPpx6V2cuhgqilKxgalY7VZjyo9q4DxBp+5dyjO7vXqepAeSQfyridYhiKkDk1xzjZnZHXQ8vuEMUhGKjZtqitfVtPMLMe2fSsOdTipRF3ct20h3DHStWGDzlyetYtjMCwTHNdNp8eVPtTY+W+5Xjsh6VKbJGABXitJYe+KGj74oi9TnlR10KEejwsTlePpUi6Dbx8gc1owfNg7cVPJGSuRWil3OaVKSMyOxii5xmp44YlAOMGiRWHaovm+gptmtOn3J5GG444qtJ9aR5CvOarSXGc8frWEom/swlbjFVZAFUnPWkmnqCWb5MVCQ+QpXUm0kVRkbcvXFTXjdTmqbN8vWqtYwdluY3iA7YGXPWufs2/eZ/CtfxBNuQisWx4fH5e9d1N2PKqJNnM+KIQt/NzkkBv0Fcu3y8Z+9z9K6vxXIq60qZz8mD+VchMSJCPQ16dFtrU8erFJs9P+Dt1cST6zYWszRNJAk2wdDhsE/kK9TWDU+cXEm3Jxg9s8V4v8G9SGn/ABG0bzGxDc+Zav2zlcgfma+jPIEf7srgp8uM+nFdMnoeBWbjI5poNV3D/SJMfWr1vDqnGbiQ/jWwIQxHarkEa8VnzGPPcyYrXUicmd8n3qdbPUeP9Ifit2GIN0OKmSNc8muqEm+gpS0MiOG+UAGVifrUpgvGHMjfnW0ipnpmpvJTbnH613Ko7Wsccr3ucvPZ3m0/vW/OqP8AZ91t5mfP1rsJkUr939apyQhVzt6+9Yzk7bF027nPw2N0FH75/wA6kawu8/61/wA63Y4QFBxUgQY+7+tcT3OtTkc82m3ZX/XP+dQG1njkVGmck+9dQyDb939azL6N/OjKJnHXmkaRmyh9gnPWSTP1o/sudufNk/OtxEJAyealCIoweTSdy+ZnPf2XPjHnSU3+yZtuN7H3NdCxVTgU0hGOeaFcXMznf7Hk7ySfgaRtFfBPnSc+9dD8o7mo5Mev6VVwu2cz/YrbiPNkP40p0F/+er/jXQDb1zn8KJJF246UXYjm20M7j87Gmvo5243NW7tLcgj8ajlbaPWmmCbRzk2ksEIEhGPauW8UWpghiDPuz7e9d9M+7dzj8K4nxo3yw4Oa2pt3LUm9yr4AXd448NgdTqMf8hX6GyfNI46V+fHwwUSfErwpH1DX6mv0Hb5ricY6Ow/WvZhflPNly8xTkGMioegzU03DGou2KbNYkTHJzTd1OZdtN+9zUMu57PPIv2xRhfzrgPjFcJFHpsZcAyElQT711lxaNHeABmxXnPx0017ix0eXc24SMgx275r7qpCPLufk2GquUlY8u1GQCR+N3zHkEYrPkkQE9f0/xrH1TRZdxw78nPU1ktoMzfxt+Z/xr4DFOKm1c/T8LZ01c6n7QvYgfUijzg3O7+X+NckfDs2fvE/if8ajbw9Lu5ZwfZj/AI15r5DstHodnHMN2Mj8SKtxyJ5bHI+X3FcNb+GnbBLt+Z/xq8vhuVYWAYkH6/41VOMXIymlY6yzmTzVyygdfvV6l4FtxfWMEiMpV2ZevoTXgdn4fuFySzYAxjNe9/CeH7B4P0mN8F1efdnry7H+tfS4OEbo+fxTbTSOq0+GF5JAsqDb94Z6Uk00KKX3AgHtVXw74ZS+TVJpJGUJhk29+PrU0nh97fTnmbI3fdXrmvqIKLPmWpdSxBfwScBvzqfzYuQWGB3rCt7Az9Wx9BWlpuifabhIN5UMcbm7VqoxOfmdxsMUV3fzbJkBXH3jjsK1rO3XGdyn3zWKnhmX+27yLepjiIAZR1+Ue9dDpvh1WkCu5/CqtFa3FKTsTWsatcLEHUc+vWuiXT1VgC6MfY1hR+HUae8RiwRSvlvn/ZGf1zV7TdF8u6VfMcJjqTmsanK1dMyk5It6hHizeE7Qj4XLNjrXh+s7LfUrqHcC0cpjP+Ne0eItNF1BbQFmZPPRnC8EKD1rxHXtHkXxFqrAkr9oYr9BwP0rJKMoO5rh5S5ze8CxxXPia2t2cK0isvr05rvlsR5joxA59a86+HOmP/wmlhLIx8qJZCePUV6Jc6ayySOjMRJzj04pUacb7nZiKsrbE09mUiHzrj2cGqARtzL5g/Oqh8MluTIy5/vMTT18OGNVCz5Pr/k16CjBLWR5TqyT2L5jG0B2BwezdK5PxncCHxPHbb9t1JZbhu4+UN0rpV8JnPzXDNuPODiua8TeAhqfj6wt5LqRgdMdzNnkYZjjr7VnN011NIznJ7F+21GG78M3zicAxxudvrtxx+fFfPutavbx3zyeYpeGXc8eec4/pXuGi+Dx/wAITFcC4ZPPhY+WVzn96e+fQY6V8++JfCMc3inWZ1bYJLkgRk9MgH9K8rE8rie7hZNuzPEf2krqOTxhputQ/Muo2pjdgerpgfyH6VR+A8i/8JNrlkrbluLUMhx/rMOe305rp/jT8P5R4E1CdJPPl02eO4jIX7iZIcde4P6V518L9bg0Dxdo9w7fKW8vdnAKFcDP86+Hxq5oux+kZNJI9v17SvMjkYLg5NcfZ27Q3Lqw6HrXrOq2iGyLfeBGQ3r71wF1bgTNhdvNfKKTR9nMfazGPjGauJMS44qhH941bh+Zs9KyqbDpPU17WTcw7VoxThflrGikVB1qxHJubINYHpp6Gi8hzgGovtG3gtTG3MnvTEs3mPHU0GqtbUkkvBtxnJpsLSTHgY96u2+jBQpk6ntit2y0+GKMHbmqRnKcTn4dLa55YfjirEfh7c3A4ro0jSPO1cCpoUTjnLelaJdjjkk3oYEegNHkbePWq8mjJuwf5V2n2cMhyKyrpY4gS3yiiV2ghF3OU1GzjtY89vpWHvEkuIxux1rU8U3yq2wHOeBzWbZwfZ13Z+Y9ayaZ6sYcqLtqq7wSa2rW+a3kGx8CuWmulhbO7n0pI9YRZAC3P1qoJ3Hy3PRotQMi5b5vxqpdaoI5OmB6ZrmoteVI+G4x61lalrySNjdhq7ovSxzOk73Otv75JIc7utchql0is3PNZ9xrrxx4VtwrndS8SdQww3fmsK0U1odUYuKuP1q635O7g9qxGUPxUN5qqzY5/WlhuFbHNc1rEMT/AI9Zgw+bP4V12iyia3JPU1yVw461o6DfFWKk4FFrlRd9DuFiVVAJ5p3kK/eqlvciSNTnmr0LfKKzs0zXlEW3CDAP6UxlKsRu4+lWGIzUMn3iaNQ5UMMQZck8/Sqs8agEZqaSbbxiqsj7h6UXYnFdCjc/Lnms+R+M1o3C7l61l3CckZpXElYqzNu74qJ5vlxSTZHeq7HPehClaxXvJMg1TMhZTVm47iqbfKtM8+sZOqR+Z2qpHClrC8zjiP8Aefl2rVmUNzWD4suvs2h3eOpQDGemTiumD6HmSTuea6tfG61CSctncxI9vas+4k3SbgOtV5mKsQTypxTlbzFHPSvZpKyPHxD9419FvfsWqWd0vBgljkGOx38n8q+mrnxZA947qJHV8PkDjkA/1r5Sjm2Hg4JPJ69sf/Xr6Z8C3Ntr3hezu0+bykWGYgZIYfKPzxn8a2Z5dZRSu0ai+KImbOyT/vmrlr4ogLYMcmR/s09NPiDYK1etdOhVs7c1G7tY4uaDWiI4/E8e4lY5MH2qePxFHnmOT8qnXS0ZsjgVOulxr1P6V207I5ZSWxHF4iiOP3cn5VP/AMJAhXhWA96lhsE6Bc1bWwjCgFRn3FbqSM7oy5NeAj4jc/hWZP4r6L9mk+v+RXSTWa7CAvHtWbJp8eQCOamclYcZJMoxeIvMTPlSD8KUeIm7QyGtOOzjVelL9kQdP5VwOSudScbGZ/wkj4x9nb8W/wDrVG2uPKwHlmP8c/0rWNjG3JA/KqOoQLFNAFQYPWjmTKVuhBFrkh/5YuT7GmyeIJ1biA49z/8AWrXhs41OfWnyWMfp+lF7FGG2uXJOfI/8e/8ArUf25cd4T+f/ANatlrOPrgU37MnYD8qXOuwr9jGbW7jqIf1/+tTP7YupBkW7fga2mtY8cgflUTW6r0JA9qOddhXfYyf7Uue8ePYmopNVutxAhz75/wDrVr+SDzs3e5NBhUD7oHtRzIOYxf7Uux/yyH41FNqF2/OzFbMkS5JxTGiUr0qlJMakc9JfXSqcx5/GuY8TO8ixNIME9q9AmhTaa4jxmR5kKAY966aTXMWmncPg/GZPi34SjJ+9e5z9Bmv0JWP99M3q7H9TXwB8FU8z4x+Dl6ZvD/Kv0H2jfMP9pv5170V7h5E375j3P3z2qE8DNTXvyyGoPvKKyZ1xs0Rs26hV4oYYOKTfjjFQaWR7RebPtSjcua4T4yRrHpOktnd+/bA/CtG+8Qzi8j/cg59TXDfGLxJcTadogjiBZJnLLux/SvvatGUYK5+UYSK5krHnGpKjckYNZm2P+6fzrH1bxNO0jYtFb3JPpWS/ia5j6WygenNfnuMp++7H6Th0+VWOrYJnoRUT7Nx+UmuZ/wCEmum58hPypjeJLvd/x7p+Vec6Z2JSOth2jGEP51dRRz1A/CuCHii+EgAt48VoR+JrzaxNtGSPY1VOleRlNu1jroP9ZgKcV6V4PuAmjxpkqVkOB9a8Lt/Ed6HyLeP8jXo/hXxFM2iRExhZN5yF6dTX0WFjyvc8bEwSjc9f0bUGsdPu0UgbxtLE1Pcat52miDPAHyt6etefW/iy5jt3j2Lhj37c1KviCVoxkAfSvpISVj55xOtt5VXkHFX7XUPszbxyQc81w8OvOMf41O2uSGM4/nWqml1MnBdEdfpuqefq927dXIOF4HQV0tjepHIpb5R7mvGrPxHcx3zBYkPI+YjJ6V1Fv4iuZVAKqPoK1vzKxDgerW80c3KEMucGp7dgZ8bsVxHhvXhDbziY5beMflW7HqilhMvKntWLpSZjKnob2qbRasygbhyTn+EEcfrXifiSZf7e1FFb5fNIBAr03XtYl/4RnV5IlG+O0kdT6Ywa+fLjXp55pJcby7Fi2ccnnFZwi4xdyqWsrI77whqUWna1C8jbo9rB2xjqMV282qJJEWibKrwD61414f1Ke61CKAjCyE579Bmu3hvG8spnPA74q6bXQ6asUtDqodWL4BwTUtxeCGMsdoPYYrm7Vi+G3quPU1HrVxO1sZUlQCJc7c/e5/Su1WaPMnGNzbbWp2kjCkdeaj8Qah5PiQ3n3Xi0qQlc9hnnP41nWaqI7eYzq7MAzL0x7Vi/ErWfsesXbom9JtCkgTa3/LRnIHasJ2ubxUTsrJvK+HVkAPmWyWRG9csT/Wvm69uBda1O+Axa4yeOpzjH6V7y2teR8PZLYSoZYNLhiXnkMsa7uPrmvlax1a/bVLJWGU+2qZGz/CXJrzKyTVj1cOle5t+MNPW40/xRZSrlDZTbx9I8gV8VWMwh0mIBvmEa4PcEdD+VfYvxg1xtL17x0LchrRbMbJM4BLQoCPzzXxfeXoWxtEiYAiNQxA5PAzXy+KpJRdj7XKJuMtT6n+DPjH/hPfDcNs7s9/Zr5cyMOoBOD+WK6TxBpqQq7JFgf3q8B/Zz8QSaP44ubaNiGvrVtmTxuUenevfJfEkl5ZtFdhQ23AxxzivjatPllofo3xQTRzEMfzMGOKcrfNgVDJJ5MeWOCSf50tr+8O79K5ZxdhQ3NCFcrzVm2Yq2ccVFBIMY24/GrUKjIrnsd8W7Gnar53bFaVpAFINULNljAzWnDINowKaNfe3LzKrKvrViGM7cY49azvO2sO9Xbe73ew9K0SRHKT7fembWWTcKY12oPT9ahmvAMAHGaouMddi5PqqW8btIWBx2FchrniSJoXwx56e1Q+INSLFk8xgPauA1bUGwVViRnvVaWPTpUFH3mXVumvL0h5PMAOQa2bi+jhjAJ5xXLaTdJ5ZLHElZ+ra0yF/m6e9ZdS5LUtaprKGUkPjnoTVRb7cwffn6c153r/i8ae5Iy0mecjIqTw74+hv3aK4dYp2+4gHDf4VtGLOac1E9IbVGVRtYkH3qrcX52g7uaxmvBIow+KrT3Rk/ixVbMz5mzZuNWfyyAeR3rndQvGkbLNyad5xKkg5rA8Qa9b6Tauzq0szfcjX/ABpNXK53Y0WlXKqzYJqeK45VQ2AteX/8JRdSXQbJVQfu5rrtN1I3CqxOCazlF9TNSUtkdhJcBowc1JY3BVlxxWHHdFlHPH1q/YyZbA61FjSOh3ej3Rk25OPauiimB6GuD0+6MDAkfhmujs7zcw/xpNHVFqSOh2F+c02RdvFQR3fygD+dSeaH4JrOSQ3EgmXvmqUrdcVbu/l6c1SkI25zzUWM+pUuZCo9ao3DfKTVu6bIFULiTquKEiZbFKZ++KpM53Hirc3PFViNtXZHLKTK8vNVJBhatTN1OKpySbuMUHPN6FTkyGuS+JEnk6W6L96QAfkc12ccfzZrifikAsdlj+IP/wCOgH+tXT+NHBPRNnk00jeY2RznNSQudtWJLN3Z37ZquF29Bn1r6BWPnpy5ndjlYxOcdzXpXwr+IkfhHVfKvZGTSrsbZeMhX6BvyrzZsOBjrU1uzLkEbgf4W5FXddTGSUlY+wY9QtZtslvOk8TAMrqw5GKv215GcfMv/fQr5Z8M64dPnU3DyGP/AGSePwr1DR9X0zU4g0dw3md0bIP86Spq97nnzo8qPY1ulXo6/mKl+2JtyWUf8Crzuz0+K4+47/Qhq1bfQ2kQFZDt/ukkV2wiu55s7J7HZw38eeJFx9atrfx9C6k/WuQt9CboJDx6HNXE0U4yXbNbKMVuZ6HQTX0eD+9UD61mTapbqwzNHn/erPuNFDIQS2fXNZcnhocfOT9R/wDXrKVuhUOVvU6uO+gZRiaP/vqla/t1bHnx/wDfVc9D4eRVGefwobQVLnA4+lcklFHQnHZHQf2hb/8APaP/AL6qreXUEjI3mx/L/tVlf8I6mMnOfpVWfTxDKsI49OKnToWmlsdLDqVuq4Mq5FPOrW7dHXH1rBj0VSOW59hSnw+vqxodupaae5tNqcG376/nUX9q2/8AfX86y/7BTbjDfnUbeH488hvzpWiyvdNSTVbb/nso/Gof7Xt8Y8xT75qg3h9DwB+YqNvDsa+tKyQvd7l86xApwJRTX1u3AALgn61nHQI/Q0x/D6E9DQrB7poSavb/AN+q8mtWyr9/n0qA6GoUYqM6HHjJGTVaB7osmtQbTgsc+1cj4quFuDE8fzbex4rqJNHiCkfMMe9cp4mhW32Khx9ea2p25i1bWxtfAuIt8aPCB9Lhn/TpX6BL/wAtW9WY/qa+CP2fVE3xq8LDpiST9FzX3osn7tjjqSf1r6SL/dniS/iMyb07nP1qFegqS8f5zxUanK1yvc6obDG+8abgeuKc33jSeSX53Y/CkzZNndX0aLdQZrividDDNZ6aWAUpK/48Va1nX9T+1WvkWEkyD77/AGZzt/Eda4/4oa7rT6bp72Gj3l5PFKfMjis3xg9+npX32JqJ02uY/OsNT99XRxeoWUbHI2447e1ZstnFjBCnHesDVPEXjN5HSPwxqx2nGRpsp/pWW2teOen/AAjOrD/uFS/4V+eYiEnJ6n3lGLcVY6/7HC3PlrTGsoh/CB+I/wAa5D+0/HLc/wDCOawPppUv+FRyah47PI0PXEH91dKbH6jNcjpzN+Vrqdj9hhYA4AP1X/GrEdnHsYYXn/aX/GuCW8+IDfd0LXiPX+yW/wDianjvfHyLzoGuk++kN/8AE1VOlUvuZyjbU7qG2jGPlX866zRZI4bMRDAIO6vG4dS8fpJgeHNZYeraRJ/QV0Ola143OftHhzVkXt/xLXH6GvUoxlF3uclWn7SNj05rkM3UdamW4+XOcCvP4NU8Ub/m8P6sB/2D3q+2q+J/J+Tw9qzZ/wCoe1epGb7nkyw/Sx2Md1vY8n8BmrCXHBHzEfSuBtb7xaTn/hHNa5/u6bIR+gq403i/yyV0DW/p/Zkv+FWpOXUydDl6HdaeFabOD+VdDCyKQC2K8es73xrFNz4f1pR/2DZf8K3rXU/FrsN+h6qB6tp0uf5V2U5d2c9SnpsetaTdRLdRKxV03ZPPWu5aS124iQtgZwCB745NfPceoeJYpty2GpRMP4fsbjH4EVu2njDxVbwNI9nqDyLwo+xZP6iuyNRdWcU6btoj1iW6mutFu/OtVtVkjeIp5wYkHjP6frXjGo2kNveSomFXOQD2zzRrHijxlcKDbQa4DjmOPTSR/wCg1xt5J47upS8mha/NuP3v7McZ/IUpSg01czpU3CV7Ho/g2OJfElkGKvucoF9cg/4V6PYaPbMW8yCNmwCc54yM14B4b/4TbTde06/k8PeIPs9tL5jKNNkOeCMdPeu4uPE3iuSNynh/xIsrdT/Z0gHt29MVzU7bOR1zjJu6R2uoTWmnyMiIpHoucCsi4vEk+UKpT0rgJJPGszEnRNf5/vWT5/UVGsPjLzCT4f12Q9ybBq1dRbKRg4S/lO5fVFs2VSuFz6cVjeLtaivriGQJ5YWMRkdc85z0rktaXxzPalIND1aGL+LzrYpk/wCz615/qFx4/gcJeWGpxseF3w7QfQe3GOaylUaXxHXRw7k9Ynrc2ttaWVxJCfM8xCrK2ea82ukQJIBH5ZK5DdAMEnOayLyz+I8lm0kGga4VCEl1tSR/LGPxrxrxhF4209Wn8Sw6np1oW2LJKPLVnPIX8iK8uvUbWjPUo4f3rND/AI1fEpNXsG0bS5GdXf8A0y5U5DY/hHr6V4isZYqNvy9BWyIn1LUCB+6hQnKqfl9/rzmq8zxecFjTCKfXrXg1qreh9Xh4Rpx0Oq+Fe6z+IWhTgf8ALTy/T72Rj9K+iLyxaQuejZJ6V84eGtWi0/XtJu3/AHccF1G7HPYdv1r6sghW7haToroHU47EZr52vvc+pwsm46nG3CiSHawyV703TAd2M1JfPtkkUDjNMs28vtmuKWqO1N3NLbtk4NaFuvA5rNWTdg4q7bycjiuV6ux3R2NWFR9avRMFwOlULdhsGaWS4AXPT8aLHUpXVjSeRQM7qiW98tunB96yftmerU1rrdtC8n61RrGLWprzXwQ9ap3mpLtB34x71n3MwC/MeRWFqd5uz/CD05pXOuMVuJrWrbS2GDAVyTzNdTsfU03VLxtxXOST61LpMDNtyM0HQ5qER/2cgMQdpxk1yuqXW4Sdz0r0NrIsM4wMc8da4rxhpf2WFpo+Iz146U7XPPlWd2eV+Irf7VKSSy8+tZC2PkyRuhIdP4u9dLdq1wfuHPrVdLEs/Ix+FdUdjyq02ne5qaHrMs0KrMfnHVvXmtGS8wOuaxobPyWyDVqQllHGKJI3hVVi814Y4CQeTXH6rEbq5aRyzH68dK6DduTGao3EIUHIyPWpQ51NDkmsxG5AB655rpdLmWONMjnHrVVrMTSZBx+FXILHaw+b9KJXa1OeEuVmxb3SsVUda6bSbfMatnmud0+wXzFz19cV2em24WMDP6Vyy0O6MlJCtuXnPNaWm3mdoPH41Xmh+WqoJhbIqU+51UZWdjsIbgYGDmrMcxYnmubsbw4UH+dasN2N3T9absdl9DSaUbDnms9n+dh1Aps1x1Aqus23OetZtGbSEuTv9qpyLuzzViWQVXLDmg5ZMrsM8VVmj+Y81ZdtrEdarzHcTxTOaSKU6nbWdI21ua0LhXYHHArJm3buTzQc0yzGoPOa8/8AilMsk1hEp5RXJ/4EAP6frXcwyEkqMZCljz0Ud68m8Vaj/aWsSzjOz7iqfYYz+lb0Y3nsclZrkYabp5vICMcZx0zWcllGmqTW0i7GJwN30rsfh74Z1XxZeDT9GSKS7X52Er7QF9eldZ4y/Z1+IHh7RrzxFe6bDc2dlGJ5fsrBzsJxnNe2090fJyqe81c8fvfD9zZ7iqb167hVCPK8kAnvzivX/CXw78Q/EHQhqWjW8dzpwby5CrjdE2eAw7Vdm/Zl8W38bPZJZsyZ3Rh8tkdRTjGT3RPtop6s8gt7hHVRux9K1rNrliPs8zxt2KtzUviD4deIPC9w0eo6VLbTA4woyPrWVbyy2zcMoYdeT/hWqujpTUlud9pXiXxXZsqx3s3lr32g5rtND8ealHg3xuJB3KqK8r03xTPa7VaQsnoDzXbeF74eIryO1imiilk6eewQfia1jJp6nnThd6rQ9EsfH1s7Dba3UhPd1C10Nv4mhkUFo/Kz2ZskVj2PwH8X6ptk059LuEbpi5LH9BW5H+zt8Rtoj26Wg7Dzz/UV0qLlqcslSlvoTrqkNwDtYFfXNRNdR8fOv5ipo/2a/iSnLNo6/wC9dEH+VRyfsx/EWZ9xn0VR/wBfZ/wpSptrQ51GCejJ45kZAQwx9R/jTxMi9x+Y/wAabD+y/wDEFlwbjRCfX7Wf8KG/Zh8fBsG60MH/AK+2/wAKx9g3uX7sR0lxHtzuH5j/ABrKu4xNdwzBlAT+HcOf1rS/4Zf8dtyb3QR7fa2/wpzfsseOZIx/p2gD/t6b/Cl9XHzIrw3ESqMtHn/fFSfao2ziSMf8CFTJ+y146RQPt2gn6XTf4U4fsv8Ajdc5vtDz/wBfLf4UfV2xqSK32yIDPmx/99CopNQt15a4iHtuFXD+yr41kGTqmhr7ee1IP2UfGmMHVdCI/wCuppfV2th80e5n/wBr2fe6hH/Aqjl1qyUf8fUJ/wCBVrD9lHxjj/kKaEP+2jH+lQyfsoeMzJ/yFtBx7yP/APE0fV5Pqa89O2rMo6xa9ftEOP8Afpv9r2jN/wAfMP8A33W437K3jBYVH9seH93cea/H/jtIv7KHjFeuteH8/wDXR/8A4mhYdoFOk+phNrNoCV+0Rcd91QNq9s33Z4z+NdTH+yr4w6f2xoJ9wzn/ANlqRf2U/F6j/kOaCp/3n/8Aiar2DHzUu5xkmoQFWzLHn/erifFkyTXEQR1IPcGvaf8AhlLxU5PmeIdCUn3c/wBKik/ZA8STcHxVoYx0+Vz/AEq4UWndkyqU4rRnB/s5ru+NHhjBy2+Qgf8AAcV91t8qsPQkV8/fDP8AZpv/AIf+K9P1+617Tb6W0LERW+4E5479Pyr3xZlaPI4JycfjXswa5bHk6ynco3C7iTmmr92pJF+YimY28Vk9HqdtOI1kyc5p6jCgUlG72qWza1j1aHUHiOxZnVe43Gpv7SmhyYriRSep3Gsc28n93mmssi8HIr0W5dWeV7kdkbK6xdKOLyYf9tG/xqaPVbmRSW1CcH08xv8AGuc3MON1G5t33qxlBSNoyfc3m1i86i+nx/10b/GmNrd50+2zf99msN5mApnmN61HskhuUjcGqXbMSb6f/v43+NObVZ9uPts+fXzW/wAa59pG6Zpu9u5zT5Ikc0kbTaldbuL24Pv5z/40n9pXEnyveTf9/GP9ayo90jBRkt2AGanl0+4hUM8bLn+9wapU49CXJ9TTjmzzJfzj/gZ/xqK5uApPl3szD/fb/GstlkAx1FRtC56cU/Z9jPmRc+1Tbs+fIT7tn+dRTXs3aeQH6j/Cq4gf1oNvIw6Zo9m+4nJD/t07f8vEv5j/AApftMrDmVifU4zUQt3AxSeS+7GKOVon3S1HfTRgATSY9nIokvZX5Mj+/wA7Z/nUH2aSl+yyFelV7xNoPoAupFbIlcN67sn8zTmvrg4/0mX/AL6qJrN1XJP6VE0ZXv8ApR7wuSBp2+rXMC/Jcyc8nLZrTT4ga7b4WHUGjUdMRof5g1zCq7dOlSLbyNQlfctcp1K/EzxNj/kMSf8AfiH/AOIok+JvifHGsOB/17w//EVyrWcu40G2mCj5c0vZR7DvEXxV4k1HVoUnvL6SaWNsDnaPrhcAflXKalcXF3a3ED3DHz4jGXmJIXuCp61u3mmyXkZhPytJgBv7uTjNeReMPi9ovw51C7sPEsN9YtC2xbxU3Ry8cEfh+tU4u1kPnS2L918QL/w000XijWZrnRlhW3ja3UbRxgFiRnivkr9oD4vR/EPWo9Ct3U+GtLPmK8Q5dx/F+db3xw/aE0z4g2CaLoPnLZsQ81wyks+D0wFrwm+spNoZInt0JJ2ygpkE579a45y5dzuw1N1NWN1DVLe4mK2vyxYBDZ56DOR9c1QkkBY5wCPSnXuo29nZtBBaATt1uGbr/wABx/WsO4vGSPJ5J/CvIqS5mexBaWRPrF85tnSF9sm3cPcg9a+w/hn4qh8SfDzT7zzMzRxLBN3ww4H6AV8RNcFplJPIr1D4N/EgeFb+XTLst/Zt0N3y/wAD9jXn4iPu6H0WCtblkfQF1GGZzu53H+dMt/vYqvDOZo93QHleQc55qxEnzbg1eXJ9D0HHWxfjG0461bt2+bFU42qTzvLaufzOqFzYWQKDzVS4utq/X3qrJeCNM9T6VnSXhkfpx9aXMdtOK3NNJAw5PNM+3LCzZXke9UJbtY1IHX1zWXcXR+Y7utLmOla6M0NQ1Zm3YbAFc3qOqlvmY8DpzVfUL4Q5BfOa5a+1TzWVd3BOKpdza9jZtd19cFy2QD+ddhpduNw+WuY8PwhYge/pXa6dhG5XtTOaU+bQ0PJDQn5cVy2vWaXEbIeR3WulvLsQwsc4GOlcZf6oHZ9oyfrWkE7nDU0RxV9YrCCSozms37Oj8g8/Stu73TF9+R+FYsn7liF5966lHQ82T5nZjGjEfBGTUEjr6VI0hbqOveqMk4ZyOho5QjoPEm5iAKinyV+YYFT2qhiex9ar3rtH1G6nGNi3KxWjUBuOlXLfDMO1U0YZParNu4focGm4qxHNc6GxK4Sun05htFcZZ7o2XJzXVafMFjBzz6VwVIu56dFpmuw3KeKz7g/L0xTjeFenQ+9NkkDrzwazSZ083LsR290Ubp+talvceYc5xWFNiLnPFSWl5jgcj60bHUp3Wp0HnjdkmmtNliRWaLgk0/z/AFo0YcxZlmPpUSybvamGQMtM/izmqsjnk9dSdkyc5prRgLnNKrfKKZM3BqWjHUz7old2DxWRNlWy3K4yTWrctwRWLqk3kwuQcYQkmktzkqHF+KfFm4GxtW8vcD5ko6lf7tcY2JJABkAepzU2oSNNcSngscgcVSjk8uZRjPQV61Fdjx8RUbjyntn7PV4NN8VeYEDGWIxtxyFzX2DoWs2+tQvaW6zT2oAWaNlISQDsfUV8MfDPxQvhvxJazuQtvKuyQnsc9a++PCNqsmm2t5bOrxtGrKY8Y5HpXvUoprU+MxEpRlc8D8TaPq/7OHi9vENlp0l18PtYkb7dbQpuFqxPUYPrk17HotxpfijS4dX0a7jubWfG24iPzR8YAkx0PGK7+5jtL7T7ixv4Y7vT7pCs0MmQG9+lfP118JfEXwd1C/1f4eXhvNEvSol0eQ5RHDbjhT6j+db+69DmdpbPU7/XfDNt4itTFrNj9rKjC3EJ2P8Aj1z/APWrw3xx+zj4evTK8El3Zy5yJAMjp3HGK9r8J/Frw94pkELs+kaoSRLY3HGyTJBAJ7Z5Hsa7lrZZbdvNQEH6FW/HFZunfYunXnTWp+fuvfs/67poabTby11eFeSqttkA/XNcTNa/2fL9n1G1ktHzg+arKwP1r9FdQ8EaPezoxtzby9d8B2j8qxdV+G9lqQaK4t7bULY8D7TCC351i6bR2rGbXPj74f8Ai6/8P6isumapOkMYz9n89sEeg54r60+F/wAZrPxXcW+nXtpdWV4y/LNLIWjc/wC8VrifEP7KOkaoGm0q5h0ufBxEoIAP51R0LQ/HfwQjKXNtF4i0BUMjxqu8hAcsVOMqRycVvDsyqyhNcyPqyFH2ASZz7kGnMi9B0+lcp8OPFGneMPDsOpaTctNp7MqfMMNGWJwCM+orqkztXPBxk10cqPNbV7CxqseeM1Jj5QRwPTAplO3fKBipcUA3P0/IUfl+QoopcqAXd7/y/wAKN3v/AC/wpKTdRyoB276/p/hR2zk/p/hTaXtilZFITrz/AFP9KXj+6D+J/wAaSlpWKsgGBzt/U/407bu5/qf8abTlfAxigLIcq7f/ANZ/xpf89TTPM9qPM9qYWQ5lDdc/maXgLgZH4mkU5GaWncdkC5XqxP5USZxkcUU7d8uMU7hyor7ip55p5X3ps3sKSNsjB4NBovIdtpN23jGafUbL81BXqerNMhOd2Kr3EiNnv71AeO1NZd3avUdRM8j2SImXLEg8Uxm2nGM1N5Zo8qo5kV8JWbLdqTaasGPFG32pcxSfcqtnPSmliO1WjHntUbx/MeKTfYGxkUhjYMMhvUGrb6nPNGFdy/uxyaq+WaNjUlJozZK1wT2pPtA7nFMEbetL5I7jJrRVO5HKh3nntzTTdFTjOKQpjgDimNHz0p+0QcqJPtXrzT0uF6mofJG3OKBFmj2iDlRZN4o7frSrqCqMbf1qm0fNJ5dHtBcqL/21JFwV/WqktwnPy0iR4HSmNEOmKPaJhyIVZ169KkW7UZNVvI9Kd5O1elJVEg9mmWF1FW/h/WntfgLVBYdtOaLd7VXtSHTSHy3Qckn0GPbBzWfrOk+H9ew+p+HNJ1Rs53X1okzfmRVv7P8ALimm2wvrR7UnlRzFx4b8O2ihLTwxotpHg7jb2SoR9McD8q+M/wBof4f65Y+JpdTTTZrrT5EOJNuVQYx2Havu82SSA7hkdxWL4lsodQ0uWxnTzIJvlcEfdX1FclRcx2Uarps/Jq/zvKEMGVdx3rg9cdKzdQjfacDgV7l+014DHg34lRW8MHlW9za5TjG7GCDXicyyb2Vu/b0rxaqsz6KjUU43RhMzbsheKsxMZVZSDtYYKk8fhWl/ZbR24IXduzjjAqhCpjbBXvXLJ30Z3U6jUj3n4Fay17od/pruTJasrxkkk7T1HNepWsgZioGACefxrwH4K6h9g8aRwbtiX1u8H0dfmH1z0r3y1baqk/fKgsPQ45H4GvKrRUZ6H0VOfPFMu5285pPv/NnFVpZiuABk/Wn+ZsUZ61ySO2nYZdzNGSByKr+dtXcRkmrEi+Z83WqFw5ZsbcCs7HVGViG6mPY5PpWXd3RRSCcYq5eMI1JHzGuV1y+MduT1Y+9NRuzdNvYztd1hY2xvyewqno9q15L5sv3eo4rPtbU6hc75Rxniuqs/Ltowo546V0pWWpy1sQkrGxp1wijaOD610lnq/lxj5hXBSXbxTbUIAq3HcSSMpZ8CtFTucntOrO0vrw3FuSTndXL3UghwoGeetTSXDsmFkyKpySEcHk1pGPK7kymmtCrfziMHjJNZRjSQnI5rXktvtWOOaeuik4bp7YrTmRyPe5zN1DtxhccVjeR8xOPmzXdajpPyqwOCP4cVktpe19xXr7UuZD5ZdDFs0+cDPPfirt1p6yZJH6VojShuDquKtG0PlHPWhy7ENPqcdJarGzf4VUiYLKccV09xYb1b5eayV0oqxJ/lU8xm7oIZH3D5uK2LW+MeM/zqhHa7P/1Uk6tkEHFQ7M6Kcn0N9r9Aq85NOa8DLkcfjXNr5nmbjytXFm6c/hS5UzsUy9cXG9cbvwplrPhsdBUTYZRgZPrVaVjGwwelc7irm8Kr6nT20m5QKmOW5BrO0uQTRg5wavqTt6Vhs9Do5ri+YQdtSB8dqh53ninscU7sTZMuW9qSZtq460kMnHSmTS5XOKV2Rcz7pssa5rxTN5OkzPn5m+QD6966S4+YE1xHjybbDbwqep3Grirs4K0tNThUhJuFclcbhGdxwOe9a3j34d6j4CS0uboPPb3KCTzI4ztXIyBnJzxWY0AuPlPdsn2xzX3F4e0XTfiH4P0eK8VbmyNssbxqRkEIPavfo09Lnydas4zu9j4Ssr4Ig3tmJx26A/WvRvBnxt8UeDfKW01ImFSFGcnA/Or3xW/Zq1zwLNdaho1nPqGjMTK0Sjc0Y69jXkS3LRSBWHlNxlJBtI9sV6UJuJj+7rRZ+g/wn+IF940giuL/AF+C7dl5hO2NlPTGM16tJY3rE4ilBxgbcMMevFfmHpurSwyBkla3c4y0Lsre3Irs9N+JfjCzAWy8V6pDGBjb5hIAreUle6OD6lK3un254s+C+g+OmIvrKTTb5Rlby3QqcgcE4/xrzS6s/HnwdNw2nazF4h0qFdxiuHDbV9ME5FeH6X448S6tu/tLxhqPlA8L57Lu+vNejeD7e1u5d17cNqCyEeWsrtLu/AH19anmZi6U4x947fw/+0hpXiCaG31C0+wXLDCvvCRFu+M89a9X0OY30PmrJFdIeQ0LBh+hrlofh3ZeJ7Uwal4btILJlGHMaicYGM9OPb8Kgt/2fNK0qUz6Frup6Uw5WOWUuh9sDHH4U1a+phpuj0lLVZvlJwB2GMU6OM2p2qFcA7m3jK4xggjuCK5SCPxH4fEf2u2OoWo4M9q2ePXGK6TT9QttYjHkMwA+8sg2sv8AjVpK5Nznvhv4dXw/qXiia0hMWm6hJG0caR7USRST8oz74/Cu62kdRz1NPtrcQRoqZVV5VQeN2etTCPPJ69T9a1buIrbTRtNWCmKUR5qRlfaduaZk+lXPL4xUTR7WxjNIZEMntSbTVhV+XpS7faldAV9ppwTPepxHmkaPmi5SIfL96PL96l2GjYam5dyBhg4oxUjRncacqfKKLoCMJnvR5fvUuyjYaLoBijAxS07Y3pSrESPSi6GiJnwcYo3e1PaE7jzTlh+UUXKIi2R0/WoWUqxIq75NL5fy4xRzFRdikkm47cc05vlbBqSS3IJKio9n95ufpRzFcyPVf7NnbkQyH/gNRy2c0P34XH/ATXm5sY16STZ9TPJ/8VUscYjULvlOPWaT/wCKpfXIPoR9Ul3O84/uMPqMUuBtzj8yK4M+zMB/vk/zNO80qgG4/maaxUSZYSVtzt8KecgfiKNq/wB4fmK4NpO+T+Zpu/dzk/maf1qJn9Vmd/5YPTkfUf4077OduccfQn+VedNGGYnP6n/GoJLaNmO5Fb3Kgn9aFio9RfVZnpgt2IyBkf7p/wAKX7LJtyImI/3TXlosYFcsIx+Qx/Kle1hb/lin5Cq+swMpUZR3PTPs7biCu0+hB/wpWtyoHGfwP+FeZx2cCgfuY/8Avkf4UptYSR+6jx/uD/Cj6xAj2cj0sR44xz9D/hSeVyclAf8AeFeay2NpIvzWsJPqUGagXSLDqbSD/v0p/pR9Yj3D2UmeoeRuXqv/AH0P8aFtT0yv/fS/415f/Yth/wA+sI/7ZJ/hQNLsYzj7LAf+2Sf4UfWI9w9jI9MmhSMnMsQb0MqD/wBmpqQiRQRJH/32D+oNeex2tqqAC3hC9gEA/pSSWVpIMG3h/wC/SH+YpfWI9A9jI9IS17GSP/vsUya3EbHMkZ+jCvN002zTgW8P/flP/iamSGKP7iqg7KowPyHFH1hB7Fnfxqj8b0z/ALwpWVemU/76FcDtTcWwMn3P+NOW4MY2gKR+P+NHt0NUWzuvs6tzvQf8CFNeJEH+sUn61xP2nPUDP4/40v2wrwM49jS+sF/V2zslVCM+ZGPq1OPl7ceZHn/eriWumJ6n86b9pbOc0e3B4VnZs0a5+dfwNUrmGCSNslSWGD9K5lrxum4j8aia6f8AvH86TxGgvqrPEf22vAr+IPDukeIrJRJLpqGOYKOQMnH6Yr4faH7pI3FuRj+tfp7rFrBrOnXFjeKJLW4Uq6n8s18U/HT4BX3wznfVdFhkv/D8wYsVX54z1PGTnnNcdSUZLQ7qH7v3TzK1sDfaa1uqsRJyML/WueutBltpTuH3eMCvZ/CHh3TdU8N6Vf2V4v2+VQJrdjyo3EZPpwBXNa9pq2N3cwMm6SORlJIxnng1wNO51qbbOD028fR9UsLtAVNvMkm7OOC2Cfyr6etZhPJ5qnKSfOp9Qec/rXzZrEAfBIxkkED0xjH5817R8ONYGoeGLUM26e3URPz2BwD+WK468dLn0ODn7tmds7IrEHr60hZZFH8RqCV/lGV+b60QHbg4rzz24PQtx4C8jHtUNxCu1iKc0m7nP6UkjExkYqZGqOcvj5SPk7q4nXN0jbQc81319AJIz61yupWflsTtqqe5bqOKM7ToVjhGRg026uAjEL+dLPMYIfu596xLi+Y5INdEkea/elc0FkMjhieT71rW+8hR2FccdY8lvm7VpWPiqHC54/Gto7FcreiOwjt5JDkdPrV2OzCgb8CuSk8axxxhY3GR/s5rMn8YTyuT5mF/KnqaKjJno3mWtsvLjIqKXXLVD98V5lJ4geViTJuH1qNtYDKBvx+NRJN7HTGhH7TPTf7Qt7pshgRTLpYnXcCBXndvrgXAEvP1rTi17MYDS8j3qOVo6FRg9DqEmjjVsuBVCbVI4wSWyPrXLahr2dwVvxzWPJrAbhn/AFqkmDw8bHYtrMXJ4IPvUf22GZMggE9q4ttSj6BqibU9p+Vj9arlMJUobHcJIhOCRTLiNTkhuPpXGpq7qAS5NWbfxIRlWOR6UuVnNKk+htSXDdvu0xZSxA6VkTa4jZI/KmQ6oXYEDr70WaMeRx3OqgmG0Bm5qO4YHA6n1rIW4eRl7VpQ5k25qHHqLVGzoKtv68V0DJ5ajjNUNBhBi3dxWxcR/uxXJJI7KcypkLzTHk3E8UrqG/ixULEJ3zUG97kqv5a+tQzNlCaa0g29aieYeXigCvIx4FcB4yuo5LnG7DR/4V3NxOI1JPT1ryLX9QNxqVy4+6WwB9Bj+ldFFXkebiWrEdnMv2gc7gWJ/TFfRHwO+IlxoMcNgkP2phuKrL9w8dK+Zbe42zKfevSvh3ri2WsW1w+3ETZ2nuCMYr6CEuWNj5mvTUj6/wBP+Ii3kPlGE20uzEiRjdGc84x+NUNW+GfgTx8pGr+H40kcc3NqvlSE4xnPNN8Px2V1ZwGFoleRQwjzg12tnbRrAoU9BTdSJ5ns1F2ieUt+xl8OLpmMGvaxYeimXdj+VSWn7FPgqNlY+MdVdM/d8v8Aru/pXq/3ejMKk+0MqgZz9RTjVXQOarHZnL+Hf2Zfhr4fJ82W91Zuu25f5fyr0PS/D/hLw9EE0vTYdPPTdCvP61lLMSgyR+VNac52joK1jVJ5Zy1bOp+3WMZwszY+lTR6raoo2P8A8CI5rlFkYjt+VIZGzVe2tuYexd7s6l9Ut5JGAkZR3Oev1pkN7YwTb8IrdmVMVzazFe1MZi2Mmp+sJbB7I7ZtcsVXiTJ9AMUz+37TGSW/Ba5BWO0Y4/ClZm29fyprE9yfYs61fEenY+afY390o39BSN4k0/dxOCPoR/MVx/mH3P8AwI/40xssxO4j9ar6yhOkzs/+EjscZDsfotRnxNYDJYyge0TH+VctGxVRzmpVIPOG5/2z/jS+sLqaxo3N4+ONGj+VppgR2+zv/hSjxto7DIlnI/64NXO7R7/99H/GmMoz0/8AHm/xpfWIsh0J9GdK3jbSVGTLMF/64P8A4Uz/AIT7Qu9xcZ9rV657Zx95h/wI4/nT1VlUDcfzP+NNV4k+wn3N7/hP9Cz/AK66x6/ZXpsnxC0CPkz3W31+yvWHjdwefxb/ABpdu0YBwPqf8abrIpUJ9zXX4h6DO37p7x/+3N8VMfHWkRj5heD/ALdWrEjjIwQ2D7E/405lZ+rsf+BN/jUOskX7Cfc1f+FhaNuIBuj/ANuz1NH430mTobnd6GAj+ZrCW2A5B59y3+NP8nuWP4UlWTGqMurOg/4S7TO8kyn08hjQ3jLSo1BLzt/u27E1geSvfJP+8f8AGgR7cbTj/gTf41XtkV7Fm0/jrRlbBa8XPraPinnxzosfys90T/s2rEViSbm6MffcWP8AWhbcberD6M3+NJ14roP2Muhsn4gaEpwXvM/9ejUxviHoK9XvCPa0bNZP2Uf3m/76b/GgWoXoefXLf41P1iPYXsZmqPiJocnCm+A9WsnFSf8ACYaPJ82+c59YCP61keTkYLsf+BN/jUZsx/ex+Gaf1iJp7F2O0L89aTd70xl3HOcUm0+tch2XJlk4pkjE0inaMdaG+amiWRknbTVJxSt6Ug4qrkC5NB6ZpKC3ai4rsb1pdtJS7qLk2QhQ/wB7FN2n+9T91NZuaLhZBg4xmm4xx1p1I3WmmS7dBKTbS0VV2SFNZ8HGKGfBximMcnNF2A7zPajzDTaKLisO8w01pDmimn60rhZBuPrS7jTaKfMxjt5o3mm0v40+ZgIzd80xpMr1ps3fms77eq3SwtwW6c0m2wLrDcvNZ95tClHRZ4WDK8Uo3KQRjpWixG3rWRqysELq3OMbcdalmckfO/xO+C9uniSzbwlcNpsVzbMbkl8IjhjgivM9Z8F+ItMkmF1Lb6jtHzSxzgk8e+K+oL7wbNNFK8U26ScEsp4PsOteN+MdF8S6LO7XenymzYHEwCshxxj7uaJbaFRk72PA9UDF1UxNGc9GIJ/Sun+G+rf2bqQic7Yphg89/WodYW2kujGsfky43CN12g/pWPcSCyCSRt8ysDx2rmqJtHt4aokz3+OTzNpY1M0owMCuX8L67Hq+kwzq2Sv7t+c4bsPyrcEgMmN3ArzJxsfS0mmi4s5ixnmpmmRo89z2rNu5N3INQwyMy9cCsXY6CaTHmEdRVDWLMTW5KrirqruzzRcSBrcjP4U46MznqjzrUY3BMZHFZ39jvI3A4+ldbfQCSU5FW7KzVoxx+la8xya3ON/4RXzl3Ov6Vm3nhPaxMY49MV6c1mOcjj0qu2nxkD5cGh1GtRq55YPC0u/JDZ9qk/4Rp921kdvwr0v7Iqt0/SrNuYoSAyKfwpKqzoXPbQ8wHhNtoIjbFMk8IsyE7SK9gkW2mXhFBqlc2MG0j7p+laRqXY7zW543N4bkiyVBqu2n3MI6nFettpVuU2nk+tUbzw7BIuQM+9ac6H7Ro8t+w3DYB/OpY/D8kzHK5/2q7ifRIocDuKj+yrE5AOKXtEP2smcedCWFcMOR7Un9moq9K6u5tRk85/CqUloMZz+lNzM+Z7nPmxUjG2mtpqKM7Mk1v/ZwuB1p/wBnG4DGannE5MwrXRRIwJHBq7No/k42L+lb9vZqpDFeK0YbeOTPy8VLqJGEkzlre1dSMitOCJspWq1inUfyp9vahXz1/ColUT2JXN1NjQ7fZCRu/Sr1y+2OoNNHlpmm30vBrCTOynHuZ1xdbWPH61A02/viorg7mJziogxJxmszp6ErSHpmjd8nJqNvl6mq8shw2PXGPwoJZmeKNSWz0mdycMy7E56tXkM1w3IYZbvz3rqfH2rrLeQ2isT5fLem7qD+Vcc77iecnua9DD03ueLi562QLIdw7Vu6Lqf2dtu7Y7cK3WufUjdVmFmVgVNeqtjzHrsfTXw7+IIWK2ivbKR7mEYjmjfIkGfTHHp+Fe66B48j1hCFsZonAxt4r4f8J+IZ9LMi5JB6EnkV3ejfETUwwK3BRV6Nux+frU8qOaVG+qPsD+1bcrkzRqe4ZqVtShKqRIDnpivnfSvik92yLcWqOV6lGwB79K7rQfFkerTpKX220Y5ArLlaZhKjJLU9UW8WTAU5q1Cu/kNXF6XqkuqXi21hEVjX/WSsenfpjmu0sYTCoDPvI74xTRm+xbjj3KDml8v3p4O0YpdvGaGSQlcUm01OBScelSLlQ1fuinbdy0baWncOVEfl+9Hle9SbaKLhyoaq9s1J93jrTe+aU0rlJBTWznpTqUMPSjmKsNXpUir8tJt3c9KcMLxmmpdgsJt+bOaXbS0m75sU+ZgOU4GKTf8ANjFLtpu3DE0rsCXdSqcmmUq8Gi7GrdSXy/ejy/ehW+XpS7qfMy7pCeX705RgYpN1LScn1He4tFFFK40FLtpKXdQM6eimeZ7UeZ7V0GA88DNM8z2oMmRjFMoEKxyc03dS01utAh1NbrS7qSgQHgZpFORmlPIxSKMDFAC01utDPg4xTd3tQJjt1JSbqTzPamQOprPg4xSeZ7U1jk5ouIGOTmiik3UAG6k3UlFAhd1NZdxznFLTWfBxigBw4opnme1Hme1ACs+DjFNZu9Ixyc0jN8v0o1BkUzfK1cP4l1JtL1ayuG4jBwcnA/Ouxa4G5hXOeNNDXxBo8tqVKuVJjdeTu9KauLqb8dys1hFcxsssMn3WU5G7PSoZP311GhHC/er568LfEy/+HmoT6VqCPPpoz+7Z8MjZ69K908N69p+s2YuLS9huTIobarfMPbFN6DnF9DZaJeSEHt7Vl6ppEGpw+Vdq0kJOSqtitZpvkB2Mo/2hiq0twjZAIcj+FeTU3Od3Wx8+/E/whZ29x5s8Ze2jRvLlGAy+x45r5t8QANdfJkLn7pr7E+MEEMfh2VpXVBndgkflXxj4lvDPdOyH5M4AFTJXR24bmWrOk+GuvjTb17Jz+6kbfjPRuxr1OO4MibjwTk/rXzvZ3jabG9wD84bIr2Pwj4gTWNFt7ljhzlXUHO3BIz+lcFWnpc+sw1VuJ0yzFwc1E955YIBxTN3ykdDVSRg0e3HzVwtdT0oyLMN6WYgNzUzTMqEHk1jRsY5CMYNX45tyfMefWpLvcjkwzc9ans93mcHj0qo7bpDWjYRYC85/Ck2yHFGjDF5iAE8+tQzQ7X9atKfLIpXjDHOahyYKKM+S2yp5x+FUZIcc5ralUKprOuk/dnFJPU1jdGfJdeUSAcVWk1QNkE8+uaW6jOzOOawL5jG1dkbG3MluW7jV/LY4/nTodeRl2s+3HvWLcr5n3aoTQtu64NU43IdSG1jXvdYSWYgNTVvE4zyfrXPzQ+W4+bmrUKnjJzSUWieaDNea8Rlzt/WoWIkUY4qFY/MOOmKsRwnd7VLMnYZ5G9s+lTRQ+Zg4xircMfy9KnhhC1k5E2RHDGWx2HpV+3iVBimRxheaVpNshrNyEokrIOlJGgVutLn5Q1QecfMPHFK5XKaMcwj96rXlxuz/AI1Wkl5zn9aglm+WkXHchmbk80xHxzUcjbiecU0cfxUGjY+abk1QvLxbe3mkJwUXfj1qxKByd1c54gk8y1lUcfIRmrgrsylKyPMdY1CS6mkkJ+ZmJzVGOXgCnXh+YrjGDiqxBXkHPtXuUlZaHz1d80i4vLdau2xG4Z5rKViuM1dgk2sMc1scieuh09jIrFQO/aul0uximyjnhj2OMVxtmWBRgP1rorG4Mbq8h2g9GzSCV7HqPh7QbE3ESAOqsPmIOa9Q8O6PYpMLGyXLtyVJ5NeU/DfTbnxRrRt7VpAsab3kwdv0HFfSPhW0ttNjQfZ0+0quPN6n86iUkkedUqST5TX0XTRYgKi7OMNgda248K2KpRyiK0lnZtqoCSTTtOkNyqynjdzWaZmr3uadLu+XGKTg96KZQ5elG2k3UbqQ0LRuopG60DFo3Um6koBjqO+KAaTPzZoBDjxRSFvaj+HNKyKHK/bFDKWbOcUwNzmn7vai3Ya8xy/KuOtKBzmo/M9qerfL0oDToP3UYzzTd3GaFk46UAl3H07bTVORmnbqRVkOU4GKXdTaKaDlRIoyM0tMV8DGKPN9qY7WJKKZ5ntR5ntQUh9LtpqnIzR5m3jFBS8zo6KKK6DkCik3UbqBBuprNzS01utAmG6mtJg4xSM22mbt3NBF2Sed7U5WyM4qGnK+BjFAXY5hk5prHBxR5ntTWOTmgLsXdSUUUBcTdRRtpM44oELuptFNZ8HGKBMdRTPM9qPM9qCRWfBximMcnNO27uelG0etAxtFIxwcdaTdQArNtqF23An1qRvmqNvSmhGJqFyLC5BkPyP0NTw3yTYaJ1OOhHIB9as3mnxX0bxOMsynB9K8W8Sah4j8B3sgsoJWgGX3sm5COvXNWvILc+iNb4lfDODxjqTT2uyO7EeDtON5x1NeD30erfDm6bbPJp9yjYLEHZ7Y7HjFepaH+0JbzA/2rpcwZjgywjuOPStjxB488P8AibTkjuoZrqyxzHLbg/kc8VaTe5UZSp7rQ8rsf2kPG1nGo+2Wt2vTbInOP1p91+0T451SIojWdp2E0cWT7+lUfEOneE5ZT/ZiyWSdcMen4YrjrjU4IUMdqhmAJG803FI3i4T05R/iLXNS1rdLqmozXO/nbvwufpXA3z+aWJXYq9Oc5rc1WYyZklf5R/COK4/Ur7dlYz8tQ7HVGKWxVvrszfKPlUdq6H4e+IpNL1EQg7opzsKE9PeuTlX93u3c+lT+H5vK1a0OM5kXv6nFZTScWejQly6I+jIbkbQAdwx608sGUkcGsWxmMbMDzyR+taCy4XGc14b2sexTl3B5O/U00TFsAcVDOxX3otzuxWdjpi+pfTLEGtew+YDtWdbqNoGea1LOPbg1Mi1ZlxhvHpilWQKuDyaRsxrnGQaauG7VmzSKVx0nzrVOZOPWrjKVXgcVCUMnygUkW7GRdbdpBGKw72GEqxJ/SuubRZLpiCcD6UDweJF2ld59elaxm4mUtjzG8nEIynzVkXV827cxA/GvUtQ+HtuWIdHB9jWHeeAbZGyplUfWumNSLONp3OKS4WcKcfjVuGVd2MYrpE8IxR8AM2PUUjeHYVOShB9K050L1My3UM2R0NaEMY4HWpV0hE4GRVmGx8tRg/pWD30LVhix4p6x981Ky7O2abu9sVjJdTSIhbb71H945pZG5IoRc1BeqFZyy4qNhhamMeB979KhkwBSDVleRj61Wlm4xUlw/wApHSqDMelAWY/cW5zTXcqM5pN+1R3qCaYN7VcVdilexHcXB5/xrC1NiY3HXitK4esq8BZW9xWqST0OebdjzLUPlmb/AHqqq/zdKvawu25ce9UVXLda9ilseFU3NS1ubbywskfzeuav6fZJcSBlwFPSsNFJIwcY9q1bNjGUbOBWkjj5ddDv9B8Nw3a7piAi9B616T4b8P6Fp9pDefYEe4zjcx3Z5IHFePWeuNtWKNiPXmu10rxYtnawnzwPK+9u7ck/jWepjKjOelz6Q0fU/wCx9GLhoo5JsKI0UKAD9BW5o1y/leYY/LjTl2HQV4Jo/wARLfKm1hn1S7yCI1U4B7V3Wh6L4x8eOJNReTRtIU7m+XYW9sZ5rNxW7MvZez3Z3l5qFz4imWztDixP+vZT1rtbNRDDGirgKoUfgMVl6LosOlwLDEmEAA9z71uLzgmmrdBXHLnFSL90VHTlfAximIduHrS1AzEsaer4UUAS7qQsM0zzPamNlmznFA0SGT8aTzPamUbqBscWzSh8dqZS0CJFORmhsnvimq+BjFHme1ADlG0Y607dUfme1Hme1Ax9OV8DGKi8z2pynIzQNMl8z5cUitxUZXPenKdox1pWHdkqyYGMU7zPaoN1OVuKGUmWFb5elLuqNWG0U8YPekWLupKazbTik8z2oAk3Ubqj8z2pynIzTBEiyYGMUjNk5xTaKCjqd1LTaXdXScojdaTdS01utBLGtJg4xSeZ7U1vvGkoIuKzbqbS0U0IKKKTdTsAbqKTGeaXpSsAtJuo3U2iwC7qSiinYAqOT1pzPg4xTWbdRYTG0tNzjijdRYkf5m3jFMZizZ6UlFKwAemaRTkZpGbtilX7oosAp4GaiY5OaezdsUyjUBki7s9j2rj/ABxZm9sJYmy0brjBNdi3Q1mX1oty2HXIKnHNNXRL0PmfVvB8qxyfYrfb7jn9K5WbSdbs2YeVMfVQOPwGa9R8Sald+EtZkt2VmRsshxgeuK5bWPihcHCppoEyjAnJyPyxWidzWnKTOBvHlVAJlaNvTpiuc1DXBbsVjQZP8Wf/AK1W/FHiWa7nklZVTd1C9OlcPdXTTnOckU2d0It6yQ3WNVaWR2J5b3rAkZm56irs0DTHpzSLasvDdPSspNG3MtihJ86/0p2mt5d9ADxtkVs/Qjj9anvNkS8DBrN88xyL3Od2fptrN6plweuh9CMu1mI/vH+dSQz/ADc0xT5sasP4gG/MZqqdyyE9q8dqzPZhLSzNOaQMvApLeTvjHtVaOUbck0vnYbipZ1qWhs28o3A569q3rXDRrg4rkLW43sBnGK6LTrlcquaylsbwNlYtygFuPpSTRiJsryPSkWQbuDxUvDY5rJmw63j8xQT09Kux2igAhajgULgVc88RgCkh6jobYLhj1NW9qxrkDJqo1020Be1T28yyoN74b0rSO4crloRysJG+YdapX9tE/wAoXGO9XbmRF53YH0qg91Gzk7s1aQnSZnPp48s7Rz9Kyri08v733u/FdC11GxKg4PrWBqF0N5zzz1zTJ9m0Zs1uNxOf0qNVA4qWa4XOexqJZk3Um30D2YSQg9/0qtJH8uBVtpgeAv60yTAqJX6gocupnGMg9aeq7VBqdlHXNRSMAvWoKsMkkyPSqdxMF4pbi4CZrKuroSMecUAoks0oOearM4X3qtJcZY81E1xtXFNIbsixJNVOWQsxppuN3FJ1NUroylJWEblRVKdfvd8Cr7LharTL+7Y+tWpa6nLO1jzLxCm3UJh0GR/IVlq21sYrc8VR7bw+43Vh7SzZx1Ar2qXwnh1dyxF1rQt5D9zrVSxtxNMEZvLH97Ga6SHw/u2rayNdTkEhFjxnH41qzllJRG6dHFbsjzN5Y6kn0z2r3z4U/A9fFG3WNejWDSDH+6hBy0nPXtipvg/8IrO30y21jUNPku7u5wpW6j+RBnsK+iYLRP3cYSONIVCoka4UAD0qXJrY4KmIeyKeh+FdG8OwJHpWnw24UACRkBY1vbWk2M7GQjs33fypka81cjj+QVytuT1MoyctwjPyjPWpkb5RTPL96Xb7015FbEm6k3Ug4oq1fqNSCl3UlFMq9x1GaTdTWXcc5xQMfuptN3beOtKpyM0AO3UbqPxpKBC7qWm0u6gBd1FNpd1A0Op6t8tRbqcGoLViZRkZpKasnHSl3Z5xSHp0Fpy9KZup6/doY0g59aepO3rTaXdUlDqbuo3UlMB1OV8DGKZuo3U7DRJ5ntR5ntUe6losWddTWfBxilU5GaY33jXScYvme1Ju9qbSbqBO3UVhk5ptLuprNzQS7dBaTdSbqSgkXdSUUUwF3U1l3HOcUtNZttFwHDiikVty5paYBTWfBxihnwcYpjHJzTAGOTmk3UM22m7t3NAmDetIpyM0jN2xSK+BjFBI+k3D1pvme1RsxLGgB7fepVfAximL0paABjk5pQB64pu6m5NAnfoLJ+dVLgjy24ye3PSrTfdqBo9wJz1oIdzyj4t6A2saWs8YKTQHdv7Y9K+bNV8UxW+6JI1lkUkEM2cc19oa1YRXmn3FpKu6Gb73Y14L8UvhNpFnpZvdItTHcq2JVznd7007F0qnI7M+Z9U1L7XI7NhMn7q9Kzrc7pDwdtdPrWl20Tny4CrA85Pes1dqqVwAwolI9KNS60KkhjXkHBrPvJjyQav3Fq0rE9PWsfUcW4Kht1ZAldmfdyFmJLVUU7n984/P/wDZ/WnzPuGaZaqWkQ+4/r/jS6HVBI+iNEl+1aTZy9PMhR8emVBxUs0IGeaoeC5PN8PWK55SIJ9dvGf0rVuE+XOa8up8R6kNVcy5WMffNRrdfLk8VLdL8uaxrlyue1Z7m12jV+2eWdw5B961NL1HdIPm/WuQW6/dqGbpU8OpC3cFRn8alxudMJ8p6lbzho1O7mr8Mw2ruODXnmnaxJM0eGwv1rppr4xxqxPX3qOSx2KasdINQWOTB6djmpZrrox4H1rkYdTjkYB3xjpzVxtUV8LuyBS5TSPmdPFeR7eWqObUI/4ePfNYMd8NpIOBUbXaMud3NXGGprFpM1brWCvGcis+bVvLyQetZd9coOQ2azpr1ivy9K05S3JG62pb8uDhqxZLyRpCG559aptenGc81GbxdvqfrRynPKRbubgMgwdtV47rp81ULq4Lcg1Ua4MQB3bqTiQ5dzoBdnIw1Tm7DLyea52O9wgY/wA6SbUsjjj8azcbk8yOi85WXhqo3FxgkZrIh1Xy8gnP41WutUVssD17ZqfZj5kWby45PzVj3F0VY4Oahub7exH9aqNJk9c0+QmUrFkXBbk8H601pieKr7snrT4x+865qlFIxlO6LEAO7JNW9vzZquileRVhW3LnGKGkZtjiNwqOaP8AdEZqVelMmPykVPKiHsefeMLfZMr5zkYrBhUNjt2rp/GS7TH3rlo2xJivWw93A8WstS5GoVx6V1nhHxHD4f1CK8ZC8sOXVd3B7Y6Vy+39371XWV43znB6dO1dVu5zWUlZn358OPF1t488J2d/BcqhB8pocgAMK7SzVc7S4EmPu9a+APA/i658O3kZW7uIbAPvkjh5+bGAQM19i/C7xEPFmkwX9skkcEJ8ktMSS7Yznp3rOVN7nnVKKi+Y9IjXbxVlW2jGKrxq2wMx5IyRUm6sbIzWhJ5ntR5ntTKWgY7zPajzPam9s0lMQ/zPajzPam0UFR3HeZ7UeZ7U2kzQWKx706NwQKib5u9Iqle9AEzfeNAfHao91LQA/wAz2pynIzUdOV8DGKAH01nwcYpVORmmN940DQ9TkZoK5701XwMYpynIzQUOU7RjrTlbimUu6gY/dT1k+XpUO6nK3FKw0+5L5ntR5ntUe6jdSsVck8z2o8z2qPdS00O5KpyM0tRq+BjFPU5GaY0LS7qSms+DjFBZ1yvgYxSMcnNJRXQcYm6ms3NK3Wk207CYm6jGeaNtLRYlLuJtpKfUbPhiMUWBqwtNZ8HGKTzPamscnNOxI7zPakZt1JRRYBVbauMUvme1NopagDHJzSbqN1NpiYN81NzsHrQz4OMUY3j0piGbt3NFG3bxRQIKa3WnU1uOaADdS7qYpyM0Fc96BMcaSgcUUEXY12wKj3cYxTpPSmbaAuypeR7ozzXN6lo4viInXzA5wFx1z3rq5odydf0rMmBjuYcNyh3Djr7UbmTXU+IfFsaprerRKuWhuXj24x0OM1wl9MsDkjrmvc/i18MfEFn4gv8AV9Nsjd2l1IzuicFCTn3z+leG69pOo2DFtR0+4s1/56SJgH6UNHo0WmtDLvdVkaMorbVrAu7gnjP61Zum+9huKy584B7VB3xQ7cSQAM1pWNv0yMZqpptu00uSPlrcVArDAxWsYX3Jc+Vnqnw/k8zR0XOPLcx/+zZ/WuluI/kPPbNcT8M7sSLdwZwUdZfwOVP5Yz+NdyR+4Hc4rx8RHlqWR7lFpxMaZuDxWfcRK65xzWjcrjNZ8lc6uaySsZFxF5bZHT0qLjnIq9dKGqmy960jqyAtrp7WQHd8o7Vr/wBvPcr97CjjGawZFzVOZmhztOAe1XyplKpynUXN95ewh60LPWNyZDjjtXFfbt0IVlyfXNOtbtljIDYJo9n2No4jod+2sbgV3ENUUWoOEOTn8a5O31orhGINWW1ZI04Oc+9PkZ0xqm810XjBL81F9vEa8jdn3rB/tIt05H1qOfUgFGev1p8rL9r2NWa6255quLwlv/r1mtdecuQcCoPtQTnNHKRzXNz7QHzzVRiWYgt0qi2oKtuXHLfWqDaky5JPXtmnyGcpaG01yPu7sVXmuirY6/jWH/aBaQtn9aSS+3SY6UuQy9pY2jONh55+tZ0kzNJjOBUSTluexpOjZzUuJPtSfcfWk5ZutMVs1Iq/NU2IdTmHxqd2OtWEUhqbEvNW40B5qWhKRLDgqMipttRqMNipqzZogxhahkNSs2F6VH99Sc4pDOP8ZJxEa5HZ+8DV2fi5g3lL3Fcm0WGzmvXwq9y542KlaRct13LUc0I3Y29O9OtZPlAxVrj0rstc4XIq258qQEIP8a9j+FPx4v8A4c6f9gfTItQsHlMrFt27P4GvJCoznpTlJj5U4NVZbMm6loz7S8K/tMeCvEBSG6M2jXJGNsgLLn6mvUtP1C21a1E+n3Md9ERndCwP5ivzfjuixKyAP6Z7V1nhH4ha14Pukm0y/ltwDzFuJU+2KTw6lrFmXs7vQ+/VkVmUKyn15wRS7s9K8G8FftU6ffeVa+JLX7PPJ8v2mIfL7Hp6V7VpOt2GvWv2jTLuPUIQMnyj84+orllBx0MeVp6o0N3GMUm6iPEi5zikrIfKhd1G6mM+DjFKpyM0Ct2Hbqay7jnOKWigav1AcUU1nwcYpPM9qBj6XdTVORmloAdS03dRuoAkV8DGKaxyc03dRuoGOp6sNvWot1HJ70ASmT8aTzPamUtAD1bd2p+ccVErbak3buaBoXdTlGRmmU9W+Wky0LtozjijdRjPNIuwtOV8DGKbRQMf5ntTWOTmkooA7DNFRNncacr4XGK6zmvYVutJuo3e1NpkuXYduo3Uxl75pofHamLmY5pMHGKYzbmzSMcnNJuoJuLRSUtABSbqN1NoAXdRupKKACiiigTI2+8aVXwMYpG+8aSgkdw3OcU0/nTWzmlXpQAbqa3zUrdaSgBm7bx1o8z2pG+8aSgmQ7zPajzPam05UyM5oIGscnNJupWGDimtxzSARvWoJIftOEClpCcKFHQepNSq/nOkaDc7duw+voK8O+PH7SFj4Fsn0Pw3IbnX5cpLMv3U9gcGtacHUegcvNodF8UPjVoHwnXyjOuo6vICEtYsMI/dutfG/wARviJrHxI1AXOpT7YI2JitoxhQK5bUL66vr2e6vLiSe9mctJKW5we1C5MeTXpLDK1pHRSj7NXMS+3Lnjv2qpBC88irjitWaEzSYxxWlpmmiN9xGfwridBqR1uuooLGxW3t14yfpSzJtXIrRlULwBxVG5Hyk11xp2Wp57quU9Dd+GkxTxJLGWws1qyZ9Dng/p+teqE/ePZiTj0ya8V8LXo0/VI7hvur94/j0r2WKZZo0YcBlBH4jNeBjadp3R9dhZJwK9xFu3VkzR9a3pFG0jNZl1Hs968ps62Ylwp3HiqbqcVtSQ/LmqNxFwa2jYzkZcneqVwN9Xprc7j836VTl/d5XGfetLmUtioynGKZl4yQOasbu+2gYYZxindkFJ92c0ee7MAQcD3q2+OmKhaP5iRVqTQ+Z9yaOU7QM4qO5kP1NMVW3damCgjnmq579ClNlQXMijA4FQtNJ061oMiDHFIYVzS5i/aMpRM7KVLcGnSweZ3qz5I3YAp4iCijmJc2zPW38vjrTxCCc1YkwrHvUatu7YqXIi7BPlOAKkbOelIp2tjGanVN/PSobHdkSZz0q3D0FNEO0+tSxqc1nJlxu9yVV561Zj4xUEYO7FWkWs22aJEirlutSsNtNUbaVmzxipNI7jG+aon+QNzT2bbVeZsqxzjii19Cm7HJ+JH8y5UelYUkZ25rV1WbzrosOxxVGT7pGK+hw8LQseBiZLnIrftVvd82KpQyfN0q2rbmzXTynE2SbaCvyiloPIxUtCiQkc5pUkKt1p233qCYlSaE2VdGhDebT13ezHIH0rrvA/xE1zwVqCXmlXzQ7DzbNykg715/Hng5q1DcmPA/iHQ10qKktQunufZ3gX9ozRfEHlwawF0q8bgmP5o2b9MV6zbXCXVv5tvIlxFjIkjbINfnbY6htQqwBB6eorsfCfxQ8QeC5o202/k8kHmGVty9elc1TC31iYu19D7i3CQnac+1PU4Xng+9eJeDf2n9J1qWO38RQf2fOePPjOVJ9egr13TNWstct/P0y9i1CPr+6cFse4rz5QlF6iNAyfjSeZ7VF5nYqwP+0MU8/KOetSMGOTmnKmRnNMByM09XwMYpCHKMDFIz4OMUnme1NY5OaAJFORmlpivgYxR5ntQA+ikU5GaWgaCl3UlFA7DqWkXpT1UEdcUDsNpyvgYxSbfekoC1iRTkZp27atNT7o5pT6UAKrZGcU5W4qNRgYp69KTLTHbqN1JRUlC7qN1JRQB2IFMb7xqRelRt94122OWQlFFFLUgDyMVEwwcVLUbfeNMBKTbS0UxMSloooEhNtNp9NbrQUJRRRQA1nwcYpPM9qRvvGkoEwY5OaKKKCRrdaN1DdaSgAooooAayZOc0xhg4p7Pg4xTeG5zikTISl8zYvSmM4VwuRk+pqjqmtWOhwPcaneQ2MAGQJmAY/QVSvfYgveZvOcbf944z9KbJlUZnUxovVm4A968U8XftN6Vp/mQ6DpzahODgTzD5fqBXj3jD4xeJ/FW77bqL2tvjm3tzt7V108JOexLZ7V8dvjxZeA9F/svRLqG41a9iZGljOQFyeM9j718R6pfTTzTTzyGW5lO5nY5xV3WLpPOkkDM7MCMyNkj6VgTyF2HNetToKjG3U6qdlqPhBkYVpLHlMVTtF5HrW3aW2/BJx7Yq7GVSoo7lW3s+RkfjWssKpCOOanS2VVHrUczbVxihU03scbqc2hSkj681Quk+UjNaL9KoXi/ITmqlDQIvUrWalYZVzkN7V6f4W1L7fp0QZvnjGx/b0/SvMbQ7oX7V0vhG9FrdFGbaki4P1rwsZT5o3PqcHV6HoZY7eeKgkXzABUZmLKM9aWOTKgGvlbanvIimULxVKaPK1oTLkk5qq5CsQapaCaVjKmiJBGMVmTQ9Sa6F1Vi2Kzrm15PP6VaZyyTMVlPTbSLGT2xWj9k9/wBKctrt/wD1VZNjLa3O48/pTltcr1/StX7Pxn+lM8n2p3DlMySHaMVCzFMDFastv8uf6Vn3ERbgcU7jUSB13HrS7gvBPNAVgOmad5W7kigbQ6PDc1JIuV4pkaleAKn3fLjb+tBBnyRncRUaxlWxWjj2oWEM2elJgVo46mVSrYqfydpp4j5zSLSGD6U5OvSn4GcVIqAVMjSI+GPPNTbcNUattqTcDz0rM0Q4tgUzzPamyc9DTFOBjrSsWiRvmHpWfqEnl28jZ6DGKu78Ka5/X7rbCygfe96umveIqP3TniDJKee9Omj60yBtxzVmTla+ooR9w+arSvIysbXqzG1QzrtkJp0b+1U73MS4pyM05UyM5qKNuMVOp7UtxEUilT61Gyblz0q0yjpUbx8Ucoiiz+WcYzQrlvm6e1SyRVD93itY3AnikIbOfwrUtbjKAGsNX+arMMpFaoTNpZSvHDD/AGuRWlonijVPDlws2lX81hIDkiNzg/hWHBNuXmmvIVYkU7J7iPoXwn+1JrGnwomvWEep26/KZkG1z79/8ivYvCvxf8LeMAqWd8tlMw4guvk59M18OQ3BU5H481biunQhw22TOQw6isKmHhNaaDP0LGY1H3XHUNG2RSrJuOP5HNfHPgn41eJPCcsSrevfWg4aCc7hivefB/x+8MeI1WK8lGj3XQqy/Jn9MV5tTDzp6gen/WjdVe1mi1C38+yuI76LrvgYMKesg47/AE6/lXNZrcV+hLS0gP1H1o3Uhj1fAxinKcjNQ7qesny9KBokopnme1Hme1AyTdRuNNU5GaWgFccJPxpc55plLuoKuOzTg+O1R7qcvzUCJFORml344xTfu8UUiood5ntR5ntTKO+KLFj/ADPajzPam0lDA7imMvzU7dSV2HON20lPpNtBLXYbTGX5qcxwcUlAku43bSU6mM3zUBJIXtmkpc5WkoIsG6mt60rdaQ8jFACKcjNLSKMDFIz4OMUANb7xpKGOTmk3UAxaTdSbqKBDWbHam+Z7USdcUiqTtADMT6DNAC+Z7U7cNuec/Sqt9fWmkw+df3ttZRDktNIF/Id64DXf2gvA2is6R3tzqc68bbWPIP45rSNOUtkS3bc9EkkA5OVz3bgGmTTJbwtNNKkEKjLPKdo/D1r5/wBe/aonVZRovh8RE9Jrs7j069K8g8ZfFjxL4zyNS1FhD/zxhOAPx/8ArV108HOb1IlJM93+JH7RthobNYaCyXt4ykGbHCn2NfOniDxnqXiy6M2q3cl3zkI5wF9q5mSbGUUY3Nljnk1LHk5JB+ua9ylhoUlqtSLrqXWmG04OFrC1jUBEpCHke9WNQvBHCQOD9a5K+umkLc10NqKJs2yreXjTNz1qOHLbc1D96TFX7WHcQK86Um3odK0WpoWNuWkBrorOL8Koafb4Ck1sRx7UzXRTj3PNqzu7CuQoqlMd2amkY4xVdvu1skZx3IH6Vn3zfIRitCTpWdeLuU1M9tDaL1IrFf3DmrUEhjZMHBz1qvZjbA4qRflOa4atNSjZnq06jhJWPQtNujc2sbk5OOfw4q4j7m4riNA1RoZyjt8vYV2Vq4OM8V8diKTpysfWUqnPFMvbdy9agmgG33qwGHrSMwYYx+NcRte5n+Xt71XmXrV6VfeqU67feqjuSyuqA1J5A9f0pv8Aq/epI5AwHatCQWML70jKNxwKfu+bFSKmalhYozR78qOtVJLMqOf5VsvEq896ryHdxtpJhYxTb+1J5FapiA5/pUDR7mJobEo33KccNPaD5qsrHt7U8xjGaV2VyIpfZ/ekNvt53fpVsx/hUUgxxRdhyIYqgqM0x/lYgUZprdaLsrlFHrUitnjFRr6U9eGpXHZEtI2c0uaQ0ikNaXAxigMPpTJPWo2bAzmlqPQWWbburl9bl8xiOlbVxcbQ3FczqEhkmJ6V20Yps5a0vdI4V245qw33ahj7VY8v5etfSUU+U+aqy94zbrg5psQ+UGp7qHI6/pUMf3cUpbkpolVvmqxG1V1G01JG3PSoRRaznmhvu9KZ5ntTs7lFVuIjYArVKZcMTV9o/l61XlXjFVZklNeWp+7a1RSSCGTBpfNB5qlcC9b3G1en61PuDCsxJeatI2VBzVCsWA22n+ceKreZjjGaN27npVReojQS5LbeSMf3TitK1vsqFdVcf7QyawY26VOshHQ1qmgO80XxdqGhzLJpl7NYuOf3Uh2/lXrHhj9o7UrPYmuW0Oow9DOo2yfU8H/Ir50t5zkfNWlb3jLld/FZSoU6m6BWufa/hf4keHPFihbDUY4Zuvk3J2H6D1rqGbyiqt8277pTkGvhBLkMwcHZIOQ6nBFdr4b+MvirwqyLb6i11a9DBcjePwPavPqYOS1iXofXn1+X60qsCODkV4n4d/aWsbp4117SntHbrcW33PrXqWh+MdD8UIr6Xq0NyW/5ZyMFk9ORXFKjUjug0NvcM4paiaN42ywYfhTlkDNtByRWVmMlV8DGKXd7Uz9PqKcKTLQ/IpcZqIg+uKerbVx1qSrIdtpy/LTPM9qevzDNA7Ds55opN1G6gYtH8WaKTdQOw6kpN1LQB2zdaTd82KWk2/Nmu05haaz4OMU6o2+8aAEY5OaSiigBypkZzUbr8x5qRXwMYpjHLE0bkSG0tFFUo9yBrdaSlbrSVVkTqFRt9405m20xm6HGAaLILCM22m7t3NK5XkbhUYkVV5P075osgFZ8HGKTlsleSOo9Kqalq1jotr9r1K6S0tR1kPJH4cZr55+KH7SbXEb6Z4ZCopJV7pl5Yeta06EqjtFAe0+MPiPoHgm1aTUb5BOP+WEZDNXhniz9qHVNR8yDw5AthCePtDHLkY69K8KvtYuNUmea6ka4kY5LM2ahjkaQgsePTtXs0cDGnrPVkuSOj1TxBqWvzebquozai2c/vXyv5Vny3IjyFVVHooxVN5sKAMD6VUlmLEivQjCMdkc0pNlie6JyVCqe+3I/rVGbcy5BPPrzTgxxzzThhgK0Rk2yC1jMjcnp7VPfTeRCcHn0qTckcWQPmrA1S7LFuetJ6IS1dilfXhbdk/rWNcSfLnrU11JubGap8ltvX3rgqVL6HdBWRNaw7mHNbdjbgEd/wrPs4+hrbslzJiojG7uYzkzStVCgVeZsL0qrEu01Ox+Wu+K0PPe5DJUDelTvjFRbd3Oadio7leT0rPvOFNac0eMnNZl50NRLY1W5HY/NE46VPt2r61Fp8f7iRvQ1bK/uwaycUzp5tChuMUgYdQa7LQ9S+0W6lj869ea5C4XdntirHh+88i4dWPDHj2r57HUbq6PoMvrc0eU9Hhm3KBmpt233rGtpvlX5q0oZAygZr5px1ue+lYdJVWb6VckTPTmqssZ57UJDKchzzUanHepZFKiq7KeuasVkWEkGasRyDNZglKtjFWI5qlhZF523VDtH1oWQGlZhnrUWHYikWo9oVfWpZGFQs3y0h2BQCM4pkjbeMUok2rUUkoPagLDTJgZqGSTcelNd81HnFAWF3UmM80YzzS0BYAMVIo70ipkZzTlGBigBrt8xpy/dFIy980m8KtMQkhqrM3HWnzTcmqc03FOwmVbyTCtXP3DbpMVr3b7lNY8i/vM5rvobnn1XoTRr0qypytRRr05qZF7Zr6KnsfP1viKt0NqmqUdaN5H8rc1mRttOKU09yI7ljvinr96o19aljXcc1CNSXFSL90Uit2xTjV2sK4HkYqJ14qbbSNHlc5pi5kZd3bhuap4K8ZrYmi+Wsy4j8ts9aB3uRoTnrVqOQ4Aqovymp42oAtK3y804NVVpCrYxxU0bDAFAEobBqVWLLmoOKljYbQKpMTJFkKtU8czbs1W/jNSq2GrSLJNKG5OBzU63LF/vcVlBjnOamjm2mrE9DcjvSv8ACue5NT2940M4lheS3kHIkhfa1Y8cu7nOKl83HQ099BKR6d4e+NHizw35Sx6o19bDpBcjd39a9N0L9pqwk8uPXdGmtyes9pyg98Yr5nW7K96sQXzdQcHuQev1rnlh4T6GkZH2zoPxA8O+KFB0zWbWSQ/8sp38t/pzXSlXiVQyE5/u8j86+C1mWTBPyuDkMh24/Kux8OfFLxP4XaP7FqsssC/8u9yfMTHoK8+WDlfRl3PsRc+YFO1R3YtSbh2IYeorxbwr+0dYX7JBr9iljIxx9otwSAfpivXdN1O21azS5srgXkLDO5SC34iuGdKUOhcXcu09VyOtRqwwOePWpFYbRWJog3beOtOU5Gabt3c5o3beOtIseG5xihutR7vmzin7t3NAWYtLupKKAszuKKXbSV3o5WNLe1Jt3c9Kf+FFVoSM8v3o8v3p9FOyAiYYOKY3WpmTJzmopF20LQmQ3dSFsDNI3rTPNDfL0Pv3p3tuQDTY5xQsm5c4x9elJJCY498rJbR4yZJ2CCuJ8WfGDwr4PtyJ9QW+uOdsds24ZpxjKWyJuduuZmwqs3qVGQPrWRrnirRPDcG/VNWtbbb/AMs94Zvyr5q8bftGa34hV4NMLaVadBsOHYe/FeWXWpS383nXTtdSE5LTMWrvp4KctWxcyW59Oa5+0x4fs2dNL0y61eVeFaT5Y/w4Ncfq37UHiSSMm00nTdNwMbtmXrxBr/yoxhVz3rMv9UaRcDAHp1rvp4KC3MXN3Oi8X/EjX/GMzNq9+Z0HAjT5VH+NcTcTszYDEY9OlNmuS2TjFQB9wzXdGEYaIvnVixG3Iq2JBtAxWcrYOamWbirOaT1J2ftmozUe8s3Wnr6U0Q2FO8zatNbC1DJIMZzVEDbq4wjH+tc1qExfPata8ulVWFc7eSZBrCpKy0N6UddStJJlqWEjdVctzTomO/FeTJ6nbyuxr28irjmtbTZPMkZgOBWHbruIyOtdDpsPkx467q7qOpz1LJGqlSM2B0pka/KDmlk711xOC2pA5LUittGKlUcUx075pyKsQzScdKy7o5zWjNVG4jypOazlsXHcdpuPsso65qdstGOMVDpsZ2Sc1dZQsYqEacyM+ZcKTiqUUjQzqR61pzcrWZdLs5HNcGIjzRsdmFqck1Y6+xuhJGvzc4rUt5+nNcXot0c7WbpW/b3XQ/1r5OrDllY+xjO9mdNbzbuM06RgxPFZFrdZrRhYMAM1ytWNYu4yZeKpyLWm6jpmq8lv7/pUjZmuvHvTUyverU1ueuf0quYyopXCPmPSbmpDJmqbZVs0nnn+7+tGhZcZs96azALjNVxMfSmtITUu3QpEjNxUDMWp275aYOakuyG9KbjLU453YxRtIagl6DhHx1pNvzYzT16U3+M8UEkirgYzSN8tP/hzTGPy0CIpPmGc4qu8m0Y60+RuvNU5Wqo7idgkbdzVWX7vWpd3yCq07cVZDehUnb5SKzm5kq7O21c1SU+Y2a76EXc82s9CzH93NWI1yarxqQuKtwr0NfRU1ofPVpO42eHcCPasMjErD3rpHHB47Vg3EOyZuepqprQzpt31BfuipoqYkfGM1Mse3vWSR0Eir81Pb71NTrT2X5qqxLuC9KC3aik20WJ1GsPlrPuo60iuRiqtxH1HpUj2Ml/WiNuadMvWo0bDUFIs7dyjtSqSvvSRnIFOZeaCg8w1LG3yg5qHbRuK8UwZaWYCpVmDHNUNxpVY9c07k7GqsgPFO2jdndWbHIc1N5hq4y7k6F9JMNjNTrMelZaXBU4xn8amWbc2armQtC82Sc7v0pySFO+arLJuqQMMU7lWLkd0d2f61chuicYODWQOuc1NGxz1oGb0NyRgE7l/iB6H6eldJ4Z8Zap4bvo7iwvJYQp/1e7Kn2IriI5j61dhuPlHNRKKkrMqMrM+qvAXxs07xQTY6rImnaiRkSMf3bntjpjtXpwPyq2791gfvByp47V8IRzBm5+YgcZPT6V6Z4H+M2s+F2VJZzfWAwrwS84Hsa82thdLxNottn1Msm1QMZpd27mub8KePNE8Y2aSaddAXB+/bS8Mv4966LlTtOA3ZWOCa8uUZRdmjeOm4vfFSr92ol65p/me1Iu4+imeZ7UhlP8Ad/WkM73dSUdKK715nAwooPAzSKcjNUrIkWms+DjFOqJ/vGndDHb+M4qKWQbdx4FOVi5CBSWY4HpmvNfiH8btH8EySWdk39pauPl2J9yNvfirhF1PhIcl1PQriaOztZrm6kW2toUMkkjnA2+o9a8P8YftJW1v5lt4Zh+1Sk4+1TD5fqBj+teV+Lvihr/jKQjUb0i2+79mh+VdvpXD3l2VIC4VVGAqcDFevRwXWRzSlY6fxP481vxMzPqmrTzA/wDLFHKoPwrjJJxG+5VH41HJcFl5H61Vml+WvVjTjBaIydS4+S4LZJJJPqcmmi42xg1SaY7en61DJcHbjH61ZnKV0T3V4Wzjj8az2kL96JJNy9ahEm3jGaRN2OZu1Kv3RTPvc4qRQQoOKlsLsQrnvSjI70gbJxT9tJPuK5JCucc1Y27T1qCMhFBJplxehRwP1rRMTHXD7c45rOlnLE8YFS7jNz0FQXGFB5zTvYko3TDJJ5rIvGH0FaF02c81k3Hzd68+tI7qUerIDw2Kmt1+aoxHk9f0q5bRdOa857nU9EXrWLLJXS2cWI15rDs1+ZRXQ24woFejRXU86o7llfuikZd3elXpSM+DjFdsdzAZt28Ux+lPb1qJpO2KpgQSLnvVO44Q1dfpVK6Pynis5IaJNKb93KMdKtPll6YqtoY3GYYrSaEdKUUKRlzKdtUp1Hlk9a17uMLH61jy98muaokdFN8rTM+3maO49BmuiguOAM5rmrj5ZAQcVftZjgDNfLYmnaR9bQrKUEdNa3RUita2ugcc1y0crKo5q9a3DcHNcMo6anXGpqdUsm7vU6fMoFY9ncZAya1IZgzYxXJI6FqSSRjbjGaozR/MeK1OGWoZIx6VmMyWi+WoWixWlJHknjFVZoTk0DVym3y1CznPSrTQFqZ9nKj1oKTId2VxinKvy0piNKqkDGKCuYRVx709RuPSlWIsM9KljTaBQJu5AylWIoVe9WHXviom9aCBrN8vSq8jZqZvu1XkbApoCtKx5qu7cVJK/tUDNuq1YmWw3dxjFV7huDUzfKPWq0zbqZg5WM68b5KjtFyMUt9JtwtLa8V7WEjfU8vES0LUZ5xircMZNV41w1XoeO1e5CJ4NTck+zkxk1galEYpx/tV06yHYQBWHrS/dbHIpyi7GcZa2KMTZqeoYY+nNWFTIzmsuVnZ6iovenbssRQowMUm35s0rDH7aNtG6k8z2oEFQy96k3e1MkXdzSYXRmXSbfeqnl/xZ/CtO4j3L9KoN0qSlboOhYVK3rVWM81ZU5UUDAc0m2lHFFACbaM44paTbQJjkbnpU6nIzVUNtYirCt8ooIsO/izUi+tRbqesmABTCxKspDYxU6ybqrt0xSKSg65ppj1L6yY4605W+aqKzd6njuB6frWiYy8jc9asRyYOM1niQE5zUit33VQGokmOd1WYpyCG3ED0HFY6zds1PHNwBmgDp9N1qeznSa2ma3lXoyHnPvX0J8IvjRDr9wuha7Jtv9mYLpl4b6n9K+W4ZCG+9WnbzNlCJWR1OVZTgrzWFWjGpGxcZO594bgzEL8xH4Z+lLXnnwd+Itv420tLG5mWLWLRRGis3Eg9SfpXom3bkEFWB5B9a8CpFwdmdsbAq7qfsAoVcc06sijudtJTqCveuw5JJDTyMUijAxS0mRtJzjHrTIsIzBOWIVfU1U1TUbTR7M3l/cJa2399jyfoKyPiF440v4c6GNQ1CWN7qT5bezDZZ/f2/KvlPxp8QNY8cam95qN0wgxiK1T5UQYwPr/9euzD4eVfVbGcpJHq3jb9pJbFprXw1CryqSDdn6dRxXz/AKhqEl1NJdXEzT3Mzs8so+UuSc//AFvwqleXBThTtX0XgVTklLIOa+ipYeFL4UcE566D5Lgsx7VUmk+Y5NMkl5zULPurrSMnJsJJcDpVaTLZPT2qUrg5Jz7VG7A55xTsjO5WkO1aqvJ8uasXDYyOtUJn460mhoa8m72pE+bvVZpOfvVNDKMDnNYyaL5WXbeHLdanuF2LgDPvVaO6WNRxzTZroyLkcCo0Jkn0I/M2scinNeKoHr6ZqpISo3Fqr7jI9O6KSdi80xkY44FPEG5Rk5NMhXGKskhVzTi9SSKTEa8Vm3Vx1GP1q1dTdaybh9xNOUtCoxuyC4k3A1mzSbSBjNWJpOoqoy729K8yrJno01oSoc1etV3YqlGvPWtC1Tkc1zrVjnsaNmv70D0roIPuisewjzJ1raRdtetT2POmTL0pGXvmk8z2p2coDW8dzIj7YqJo/m61JSba0AgkT3qrcR/J1q7IvWqs/wBw1Ehok0TG6VMfw7s1o+WW5rP8PndeyJjgp1roNqqoHtRTV2RN9DFv4yI81zlyxDEV1epsMEYrmbpPmJrnqxN6Zj3r7VHrU+nz7lXNU9VO2orKYRgZbFfO4lXdz6LC6Kx1lud6DFWYWKAVl6bdDavcfWtTg9DXlSvsdxoWtyeDj9a2LO43YNc1HIY+1aFndE44x+Nc0oHXCb2OpjmDADFTHDCsi2uhgZ/nWhHcBsCua2p0K4SR7T0zUZjDDpirRKkVC+F70rFFdoQtRtEDU7sCKi3D1pAQPCF7ZpojB7VOzDpilVRt6UDK2NvG2jbu56VYMYJpjrt96AsRE4G3GahkXNTsueelQyNgUCK0h2rVSST2qzI3y5qnJQDK8lQbqnbJ7VC0ZzVR3MpSaRHIflqs33attETmq05EcJzW0dzmkYOqS7ZBiprOUbVFZt9Numap9NJZgM17+FS2PKxXwm9D82DV6KM8VXtk+UGtK3jDCvcitDw29R8Uf7v3rM1m23W5fPQ9MVt26fMar6xbbrWUZxtG7pVyjoYKVpI5dO1TL90VCflxx2qRGO0fLXI97HfJu9xzNtxxS0x1LAGlVyeMUvUSkwZ9pxjNGd3PSlOc/dpP0qXboO4UHkYooqAIpF+Uisy4j2MRnNaj9xVC+Tb83Wky47lNRtYirEfpVfd82cVLG/tSNCWkpaSgTCl7ZpKU/doJUu5H/ETU0bZGKhqRG20F3uS0xmO76UeZ7U1jk5oGWY5N3tT2Xiqsf3qtD5lHNAiLmlXPXNDDacdaXOFqkxWJlY7RzThIagSbtipVORmq5hEizFamiuctjp+NVaTac5BxTTA2oZgMc5q7DMeDXOQ3BjfBOa0re8U4BOKd0HodPpeuXWjTG5sXZLpfmXYcE496+r/hN8XLD4kafHaTv9n1uGMBo5Dgykcfhxj1r40W4G4AMRhgcqcH6Vs6Zq9zp99b31lK1veQtlJVPOM9D61z1qUaq8zppytufeQkOdpUhhwQakC1538J/ipB8Q7I2tyRDrsK4eMnIk9CDgdsV6DG52AHk9DXgSjKDszqWp3lL2xSU1pNu49hxXUrnMNZtvTk7tpHTr6Vg+OvHel/Dnw/Lqmpyo0qgrFZqd0kjdiBTPH3j6x+G+hvq17Inn5228LdScdcd+a+MfF3jTU/GWtT6nqk3nTM5aMLwI17AfhivRwuGdV83Q4qk7bFvxr411Dx54gOr6m4Y4/dQj7sYxgfjgCsGS43g9fxOaqNN8uai+0Yzx+tfTxhGKskedKbbG3Um6q+73pk026o1YMM5xWiVjMS4bB4qIyiNeeakn2iPJasu6ut2VA/WhgWZr5R9frVWa6PUDj61TVS7c1JN8q4rNt9AsupHNdM2ecVSuJfl5OTSzP1NVHJkPpWLmzWKF3ntUlurM2ScUscPzZz+lWo1C8AVnuat6WFT5m6VPt+XHTFEMPfP6U24fappklS5Py8GktY+lQtlmAzWhax7VFAm7EyRbe9JMdq9alY7VzVG8uOvH600ZdStcPuzzWbccZ5qxJNuqlO26s6krI66cUVJm+Y1Ev3qe9Ii/N1rzZyuzrjcmiTLVoW67WFVoVxV+GPc2c4rWCRE9jT0/7+a1VftisyyXY3rWki7jmvRp2POmTKmRnNPx8oFN3beMUu/pW+iMhPL96ay7albCjIOR78VXkuF5yR+dJyGKzfL0qnON24dKla6i6FgDVaS4jLHDA1HN5hs0WtBQLqAGeWUitySJkHWuc0u6WPUoT1G7bXW3ThoS23HWuina10ZVV79zBvm3ZFYd0oC+prauSJMkGsi6jYbjWFZNo3pM5jWD81UR8qjir+rjdJnpVT7sYGM183iNz6TDvQW3vHhYYPHpXRadqSyKqsfm781ykzdOMUsNwyvuBwa4HFHbzI9A3BhkGpreXa2MVyFhqzIyq7Z/GugtrxZCGBzn3rmnGxpFu90dHby5wc1oQyHg5rBt7tVwDV+G7BxiueUUdkZrqbiS5Uc02Rs96oxyBsc4pzSY+XOaycTbmRI03bNM3e9V5JME01ZNwzWbXYaaZcVuOtSK4C1R84jtR53vipaLNDcPWmswxVNbntTmmG3rSSAe8gxVaRhtoZxt61WmmAXGaqzEyGeTqKgHzKKWR91QtcJCMMcGixDJMBetNbbye1Z91rcEeRnJHvWHqOuPMu2I7F+vWtYU22c8nfQ1dQ1mK3LKh3n8qwLrVJLjjO1fSs6SZpDndzSBixrtjSRg5LYkl+Y5q5pS/vdxOBVPZ8o5qezYrJtzxXoUW4s8+uro6q1lWQ4WtO3fbwRXPae3k3HLbga6FW3dBxXv03ofP1LKRct+XxUmoQl4JB/eXGaitV2kHrU13I7K4A7D9eK7HFOJy7yONkwvB4xxQJEVRyPzrJ1W8kiuJUPBVyvX0NZrXLt1J/OvHqTUZHr06TmjpmvIuhIB+tEdzFn7wrlTcspx1/Gm/aJN2Q2B6Vn7VGv1dnZCSN/wCICkZcudpyPWuQW8cHOT+dWodSlVR8360KaYOg+h0vle9RyZQkYzWVb60y4Dcn61eTUo5uvH4079iHSlHVku3dz0qC6h3R9elWVZGUbWzRIv7s5pER3MJl5NOjpZ18s560yN+elBoWlTIzmkYYOKdG25RxSunfNAEdL2xSUvbNBLXYZ0py9Kb1py9KASCil7Zpu6gocrfNU6tkVWX71TK3bFAElHbFHbNN3UACrtqdW+UVBuqRW+UUwJN1NaTBxilUZGajf7xo1FoSAhucc05W54qNfuinr96kMsxzlCB1rXsrgrjmsA/fHNaNuehzTXmM7Lw/4ivfD+rW2qWEpju7Y5GDwwzyDX1x4d+M3h7WtFtL26uY4bmVP3iZ6MDg/wAq+LdPmCsu7kg5/wDrVqLb20g3M7oSc7VPArGtTU0dUJ9GfpVuqtqGoW+k2c9/eMsdrbKZWZjgEgcCrccZmlWNOXbnHoPWvm79oz4jJq1wvhmwut1nDlrpozjceu2uXD0nWkkjCcuVHmvxK8dzfEHxC+pTMzW8bMtvGWyqjp079K4SaT5jjmrU0wK4H3ccAelUZcdulfXQpxhFJHmVJX1Gs3yA1XaX71Okb5cVVb+I5qzmIpJutRGbauc1DPJt96qtKWOOlDlYIruLeXx6D+dQwZdQSaXyQzc/nT+IuB0qJSdtCmkiTaBxUM57Uedub0pJR8uaz5mQ1cz7lto6VWX5qnuvmOPSoYly1ZS7m0dEWoeeKuxR5qrDH83Wr8a7VFTHcJMU/u896oXUmauXD7VqgymWTPQVoSmJBCTICTWmoCqDUMMfTtUsjCNcZzTHIZPINuelZN1JuJqxdTbs84rMmk6jNDdgjFsikaq8kny9KlLfLUMi1xTdzsjoiBjmnRryDmmHqBU0K5wK4nubK/UtQrzV+37VWhTGKuRr8wrqgZTehpWiZ5zV6OT5gAMmqlqu1ameZLeJpH4rvjojzpN3sWpmEKl3IArEvvE8VrkRL5j9+en6Vh6zrstwzBGwnbmsSSZtx557msKmIUUdlPCt6yNu88TTzZIkxms86vcPyZDWeTk80fTgVwyxUjvVGKVrF7+0JTyXNC38o531Q59aXk96j6w2UqcextWWtSQurE52sG616ksjXlkk8fzxsoP6V4qp25zzxiu+8AeKhGx028OYXX9yScbW9Pxr0MJiL6SOHE4dyjzI3bq0aKMvjA61im8jlcxHhvWusvJRLG6n5sDBHSuVmsYvP8xRg+ld9R6Hm0uzOZ1qPFztHT1qssG5cZrT15QtwnGKp2/zA8V83idHqfRYT3ombcW+Oc/pVPBDda2LqM88cVkyZBziuG9zulZaEisNo7GrlrqDwkYOR9azeacueuamS5kJTa2OptNczjPB+tbFnqqSNgnHvmuBEhWpo7t4+Q1Yyp9jojO56bDqMfADgn61aF0GrzGHUpU5D81ft/EU0KjL5/GsJ0nY6oy0tc72WTjPaoPtiovrXI/8JRK3U8emaP8AhIiy+n41j7KRrGST3Ou/tONVGRzTWvUZsg4rj21wt3FMfxA+44bil7KTNOdHaLcA8hqVrwKOTgeua4n/AISSVeAeKr3GuTTE/N+tONFkuokdu+owqMeZVC61iBM/vMmuMa+kb+I/nUL3THIPNV7Fke2R0N5r25SIzj3zWPNqU0hOXLVS8zPak3e1bxorqYSrkrXDN1qNmNMo3dsVvGCRyupdhnLYxVhF2+9RRjdg4q6q7gO1a2Ob2mpF17UiMVlqfywuaik4bNXF2ZVRNwNe1VnXzAeBXSabMJIlB6isTw3/AKSrw9TWov8Aol0FPAJxXvUdUfO1rXNeF+emKvDb5eSMnjj1wc1VjhHXd+lWYZEjV2foh3nn+ECvQ2jqcvVWPL/FyhdaugOAW3Y9MgH+tYqycdKv61c/ar+4lzuDOSD7dqoKmRnNfNVn77sfR0dIiMcnNJT/AC/ejy/eue7N7oZT1XI60eX709V+XrRzMV0N21IrFR1pNtKo7VUZtMUmmixDcSRgENV231KTox3Cs9RtGKcnDVqptmDii3dSecc4xUEfWpFXeg7U3btbrmtVIw6liJqn++vpVaOrKfdq7gR+X701vSpT1prJk5zQBC3y0qnKg0SDHFJH90CgY/tim7adSUCE+61PQ5OajbrTo25oAs9sUzpTlORmmt1oAKcrdqbSr96gCXzNvGKYW3Me1DetMDc5oFoTr92nL61EsnbFSj7oNNDYkn3gc1cgYqBVJTukq2rfN0piuzQt5iGzWxDdDy1yuT9a51ZNhFXo5MqOaTBM/Qz4xfEmL4f+HZ4YJP8Aid3i7IowcFEI5b/61fHeoSGSR2kYyOx3M5PLE8n+ddB4y8XXfjLxBdaveOS7kiJG58tOmK5CaQ8jrXqYSgqMPM5qs3JkU0hyaiaT5aVm+Wqsr9a7TllsPLBgapTSBcnNTKxKk1m3jFc80mZ69CtcSbjjNNVfm61Xkzu61PE3y1g27miRK+FX3qrIxJNSyvuHpUHbNIYIpz1qZvuYqKM7mqSU7FPegl6bGdNy55pI49rdc0yYkyZqaFdzDmokapaF23j4zVlTuzximQfIuOtSPhI6EjFvWxTupOcCm26Himspkk61bRQqiqEvIczBUxVC6uOvNTXc4VcVjXE+7PNF7FpOQk1x1FU2YsxGabI3J5zTUbmuWc+h1RVkShdvGc1HK1S/w5qvI2WNczZZHtywNWIVw1Qr96rcPXpUWuHMyzDnpir0cfQ1WhXkcVoQiuunEzk1YtRSCOPe3ArmfEGqNMxRGwnpWjrUzR24Cnr2rnWhLdRn3p1JNRHRpL4pMqN82MdKay96tGHaKgl715MndnpKxDRS7aXbUFibadRTlTIzmmAzdUluxV8gkdxg9G9aYy/N1pB1AqoyadyXqrHp2l62uoaOvaeMbXOclvelht2mb9cVwmk6k2nXCyHla9I0W+tbq1SSNlLtnKZ5HJr26dX2iSZ5FSl7O8kjlPE1q8Vwhbj8KzbceX8vWuv8XRiS0jm24w23muQh5avLxkVzHfgal0WPL8xtpHFU9U0SRIRKg+Q+3StSHG5OO9dO+kxXVmArEMw7jg1w0KXtNDsxdT2dpHlTR7QOcj6UYxxXS674XurON5lVDGp5wa5vaNvJ59KqpTdN2ZNOqpq6G7qN1G2jbWRrzBuo3UlJSLUmiRX+XpS7vao91LupWRXO+4/d7U0sM9KTdSUWQ+d9x4kH939aazEnjgU2iiyFzMXcfWl3U2iiyFdjt1G6m0UWE2O3U3dlsYpdtPjTc9Mh7Fm3j+UVbVahjUrxVlV71oonJf3hm3ORUNxGVANX448k0y5i+WsLtS1PUS5qZP4dvTY30bjoeCK6u+tTfAMow3XNcJB8sw+bbk16Rpt1HNp8UoHP3f8A69fS4bWJ8zio8ruMsYZo7dRIct3P41keKNQNnYeUGxJMdvH93uK3r7UobO1aaV9idvU/hXm+vas+oXTP0UDCLnOPeta1TliZ0KfPK5kzYdjt6Z4pijAxS/eXPSjb718/UlzSPbtbYNtGDUix/L1p20VmMjWPcuc4p3l+9P6Uhb2otcBPL96ei7aFG4Z6U6nyiYhGaF+9T1TIzmk2nfVxWpLJoW+UCnNH83WkjXaop7etbR1OfqIh2tjrVhH7Yqqpy2anTrWiVgJdtJTqa3WqAikXOaZHxxUkneo0+9QBLszzmmsMHFSL0pj9zQBG3HNEZzzQ3zUiHa2OtAFhW7Yp22o1+9UtAnfoNpyqOuaa3HNIuW74oId+pI3pTOlK3y+9N3buaBx3HL61L5nygYqLdRuoLHpJh+lWY5N3PSqan5qnVT1zTuTLyLO7c3WrccnyCs3nOc1OsuFFMjU9YvJPM5BwDz61nSy7eOtT3EgGQOBWbM/Jr3jllcWSWq7Sbu1NZs0wnaPWgyZIH2oazLuTexGKttJ8pqhN371MhJFWT1qSFsrUMkmOMVLD90VkWOk4qE/dqeT61XZu1IBI22tUszblqFPvVJJytAtykw+fHpViGPLZzUTR/vM561ahj245oHexaVcDOaimmLAjGKm+6pqnIwOaZOjFhYA064n2rwKgAx82fwqK4lG3rQ2NR7FW8uC2azGctUt1NliKrKSe1cdSTsdUI21YoQsetOEJU+tTQpwKm8sVymjKrKdmc1Ulk29s1oXC7VrOk/eNjpSCKux0bbmrQt8cVRhjx3q3HkGnHccoo0oWAarsbY5rNhUtg5rQjHyDJr0KZxy7DbiFZh8wrPuLZVyAK02I29aqzfNmiUU0JS5TFuI9uazplySelbV1H8pNY9xwa8qrHlPQou7IFHalKkVJGvSpNornOm9iARk0vK8YzVhVGKPLFOxLkVWz1xTR61YkUDNRbM85pNAmKsm3tV3T9QmtZQ8bbD3I71S8v3pQMDGa0pzcXcbXMrHWXmvnUrBYpGwwOS2c5rLiZd+QeKzIn29eamjbHOcVpXqe0FSpRptWN+Bdy4H510umTPJCqGTkDhfSuKt9QEWATXS+HZxdSBgyrjruYClgvdnqdWOipUrI3JrSWSEbgrEAj7vFcJr2j+TMwjiIxydo4Fen/bLfy/nniU4+7urOmuLWTP72E/rXs4jDxqI+Yo1pUXseQshbJwR7YpvlnvxXVeItJDM8kG3b1+Wub2HvXzlWm6cuVnvU6nOr2K7L83Wk21JIuCT1plYmyfcbRtpdtLQXcbSU7bRtoGNpdtLtpaAG0lO20lABtpdtC9KWgBu7bgYzVm3X5qgX5mAxV+GPac1SV2YzlbYnhG7tipitMjXbzUjN8u6utR0OfqSQjLGpJofl/wDrVFbNuOcVPLMoTnrXJOOp6tGXNEzWjAl56Ct2z1pbKx2ofmznbnpXP3VwAxIH61V80nJ9a7aNZw0POrU02XdV1ebUJN0h6H5RngVmO29iaVn7UypqVHIqEVGNkFOVMjOaFTIzmnqMDFcpQKMDFFLtpdtAhNtLtpaXbVR3JbEo/Cl21KkeVHNakuQ1PuinoOaNvOKese3vVJXIbuKaXbuWjbS1rFWIIwu09alRuelN20L96qAsbvajGeaavSnr0oAjkT3qIDbVhl3VE67fwoAev3aZJ3pY23CiTvQBD0Gaapy2ad1GKZ9xvWgL3LCdamqvG/tU6tuoC9hG54oX5fenMvfNN7ZoJk7gx3U1eOKVTkZpm794aBR3JKKM55o/GgsF+9Vlfu1CkffNTL92gmQ7tmm9ad2xTN23imJI9NuJN2TVCVutTTSdqrE5r3zhlLoN3U12GKVvlqGUnGalsi5FM2O9U5puOn61LIxNUJ2OSKzkylqNzvk3fpVuMjrVCOTbxVhZM+1RzFEsrdarl+elSt6VE0ffNJvsKw6M55qRvu1BG+3AxU7fdqbsRABuerca4waiiXnNTnAFUmIJXwpNUC3zHmpribgiqLN3zTYJInklAWs66m3ZwadNIW71RmY49awlPQ2jFjW+anQjoKhWTccYqxGvzZrhcrs7NEi5DGOKkkh2ruzTYfug1JJJmPGK0ir7kSM+6kwuMVTWPc2c1auvmOPSoo196h7k7EsMeMd6tRx5qOIYwMZq7DzjinFailJ2JbeGnySbSakXCpVSTJY813x0Ryvcf5u/jpTW9OtRqhXvTq0uidytdfdIxWLdr3rbulyp5rIu07ZrgrJM7aLsysjc1LUaL83WptvvXn21Oq4q9KKKcqZGc1SRJFIue9RDirEie9QHg4ocQTEpdtJUiplQc1FrGkWxq/eqTaeuaZt2tT1bPFIsZKCF96SKYqozg4+oNTSD5cVTkUhjzTjJxd0ac3NuaK3jso5x+NW47pvLwOD61iRyFcCr1nLk9K7FXfcycI22LUEk0kxUybV/SmzwiTdtPzDqKWdAi+YOoo2iG1EqvuJ+8PSuOrLnd2EUlsZ8i7eDUTx471emt/OXIPPUjFVHTao5zXMWRbflBzTalx8oFRlcUikJRS7TSUFXQUUUUDuHfFIy80vfNFABSZ5xS0n8QpO4nsTW67nrQjWq1snl89as+YI8k9K6IR6s45bkjMIxz0qCa+RVwOfxqpdXhlzgYX61S3e1dHNYqMLmkupEdBx9aY14z/8A66oD5jxxUq/Lgda5pnfTkoKyJnzJznFFC9KKhXMpau5G33jSU9kyc5o8v3p3MxV+6KWkXjipVjyM5oExq9KWneX70bfeqUSRFXdT9uOM0irjmnZy1WlYiT0Gc7sYqdOFFIq96k21aMxAvOc06inKmRnNXHcQKmRnNIwwcVIowMUxvvGtAE7Zpq8tTj92mJ96gCdelPXpUat2qSgApki570+hlytBLl2Io1wM0Sd6cvAxSMuR1oEtdyELTWjy3Wn/AHeKSgqwR8GrEdVlbDVPG3PSgGSt6U3bxinUlBFmM27V9aj/AIialfpUDNtxxQUkTL92mMfmNCvhelIxyc0FE8MnygYqyq/LVOLtV1fuimhMSo2X5qkbrTG602CPQmXPeoGXa2Kn+6OtQSMMk17V+55Ul1I5Gx2qBzuWnyP1qP7y1Lt0JKk3y571Rm7mtSSP5etZt0m3NZy2LjuUj94mp4ctjtUBqaFsYrI2sWtu1fWonfjpT2fK9KiY5WgLAnJFWG9Kpr94VazmmIcmF70k0lMbI5zUEr/LTJGTSbs1VZvl60sh96gZu2aUpOxrGFxkrVWZt3FTv93rVUt8xFcMpO51RVhI4/m61ciXOKgRfm61ajXbg5rLzKdupYT5cLRKdqGlRd3zZxTJz8pFdMTJ26FGVtzGiJfelZMnOafDHzUW1EWoV4HerUSc5pLeP5RVgR7ec1cY9TOUhkmagY45qaRuKqSNkmupbGO48SZPSpNvy5qvHVn+CmXFFa4+7WRdda1blsLism4+Y1yTt1N6ejIkTvmn98Ui+lSLF3z+lcnLrc6Bu2nrnb0p4XFPXHTFULYhZcj0qu0ffNXZE681WdeOtKQXIVTIzmpF+VcUi8DFLWbKTEYZOaF+WnbaNtTYq7FJ3CoJo+pzU9JJ93GKQ+axSAxVu1k2kVAVyTT4xtYc0jTc2Somt3GcGqFqVjuVSblGzuGaJLpljG3g/WquWY5Y81Mtio+ZeWURytt5UnFJeW4YeYp4/u1WVgSFHGK0LdfMix1NZJXKktLoy+wNLwPem3kLwSbSOKj3fNihqxnHVE2BTGTLHmnK3yiipKGeX701hg4qSmsmTnNAxlFKwwcUlA0+4VJCu5hUfpV61hwoYmgJPTQft8vk9KpXkxdjg/LU15N78VRdu1dCloYKOt2N38YxTaKByaTkbx0JI1z3qVV+brTY06c1MI8HOai42xdvvS7aWl20LUzchu2jbQxwcUbqfKyeYTZ82c1IrdsUijIzSqvzdaqMbPUTkPo25p/l+9PX5RjrWhm2yNY+OtAT5jzUlAXnOaCRdvvS0UU0IKcr4GMU2itI7hcf5ntTWOTmkoqwF7YpqrtpaXtmgBy/eqTdUCNz0qXdubpQJj6XtikpypkZzQQM20jfdqXy/emSJ70AvIrbaNtOPBxSUFq/UZtwxNSI3PSkK96RPvUDLG72py4I61Erdqcc+tAO/QWSqsnarPUYqGSP3oEr9QpN1KOlJtouhkkbVbSXtiqcdWE60JomRMzY5qLzPanSNjtUQ5p3JVz0CSaoGk3VFJLUPnV65xuJYb7tNX7oqNJPmqTzAW9KCOVCS/dqhc421embC1m3PzZ7VMtgSRRb7xp0bbTimt8vPWmrJ83SsmbRLo+ZRTGGFxTk+6KbJwKRQyMfN1qzVKNv3hq4DhQaZLQkhwtU5jletTTSZz2qhPMVyMZouJK5HI/UVWduSaVmJYmonbArlnUZ1xjoIzlh6VFyGI609TkUqrlqwci9iWJd3PSrUY7VBHViOqirmcmSqvHWmS9MU/fjjFMf5vatjMgWPIzmp7dOcUwZBx1q1bp0NJq4rlmKM8VMy7Up0fTpTZ5Bt6V0xjocrepRuG61WVt1OuXyTUUbbeOtKTXQ0iixGvPWpicLio46kb7tJSZpYp3X3TWXLWpc/dNZcn3iKyqWsaw3GxrnmrKL2zUEfFWE61zGrFMZpVUr2qdVBWneWKpIzbZWdSwz0qCSM1oMoC1A6jHSiURJlDbRtqV05zmo6yaNIthRRRUF3ChlytFP27l60WD1KrLtzSr606WPbnvUanC1LRpFj/8AWNipJI8R5zimQt+8xirklq8iEr0qGrormM+Nfmznjoa0bWQx49TVewVIb6Dz/wDVeZlx7VcumX7TJJEMxZyO3BbFYRbUjqi1KNmJqMPnQM3Vl/WsXOGrqIVEu4HtkYrnr21a3umQ9M5zitprS6OWOjsxisNtHme1Q805elYmtiTzPajzPamUUgsKxyc0lFLtzQA+FdzA1fkkEcXTmq9nH+lF5JnI6Vdupg27lSZ/M9qgbrUgprJk5zQbLYaq7qlVdppFjxzmpVTvmgBV+9UmT6UxR81TqoK07XIckMpy9KGXHNC/dq4ppktiMmTnNIY8DOafQeRitCBiN2qVRtNMWPHOalVMjOaBMev3aWhV+XrS7aaEIvzGnYxxQo2mlqkhCUUUVSj3AKcqZGc02pF+6KqxNuwnl+9NYYOKlprJk5zTFqR0vbFDDBxSUBdiKu2pF+9SKmRnNOVdvegpXJKkX7oqNTk1Ko+Uc0CkLUcnepKjk70CjuVm+8aVUyM5pWXvmlX7ooNBrDC4pi+tSsu7vTNu3ii6EPUd6dUaydsU4Nk4ouhjqjk9KkqN/vVMmA3GKKWkqBjk61ZRe9VVb5qsrJ8o4pohiyd6jXpT2OVzUW/HGKcmKK1OtkbcxqIkqcZp26msMnNew5HLoxVbHenrN81QNle9MViWqeYTiXZJflxVOUhgeacxO2q8udpOaL3EolWaTaxGM1HG+TnFJKc5NNirBydzRJF9JflHFMkYv7UkfK0xpPm6UKRVhYlw3Wp5G28VBHJ83SnySbucVdxNEMrd6qSHdUk79aqM3y1EpaDjFXGO21qjY7qCc0u2uGT1OnpYaowMU+NcnNJtp8dZkSJo0561Oow2KiTrU38Wa6obGQ/ZnnNNYYOKd5ntTWOTmtUIci96uQjacYqpGe2K0Ldc81aSIlsSE7VziqVzN8pq3PIAtZl02VJzWqdjLluV3k3cUL9/FQDJ5zU0K8g5rnb1N7WRcjqRvu1HH1qRvu1St1EUrg9RWZL8rmtK6O3JrNkO5s1lMuG4qdanTrUCdasxrnvWBq2WY/mAqVY+OtRxDoKnrpitDFkMgxxUDLlasyLnNQNwuKUloJFV1461F5fvU796irF2NojfL96awwcU8t7UxutTZFiVIv3RTVTIzmpFXtSaAZIMjpVRsqxGK0vLyvWqs8W1j3qGhoih+8DXRaeBJFjpxXOo3zdK3dIbc3X8KqEU3ZkVNjP1a3K3Uqp99o8itXV7q11BrN7KN1RLZYZcqAGcck9ew9qj1y32rFLjq20mi1ubMaHd20kH/ExaQPbXKrhVxwwY59K56lPlbOzDSi1diWbjsc7iSG9s8fpVfXLc+WkgGT3p0GI5hjO3oAa1Zo1mtCMZJHFVD34WFiLRqJnFFaWnyqY2ORg56UyuZ72NIy0CiiikVdBTl7D1ptT2sZkkX0FFrk6FyGPy4sk9az7j5ieav6hII4wg7VmM+6tuhilqNAwMUu2jbTqg0Cno3amqu6pFj560DHLGd1TAbRinRL8oND/eNaxVjmbVxjLupFXAxmnUVYhtLto209Y/l60ACx/L1qRV+XrSKMDFPXpQDCiinKmRnNNEjacqZGc0jDBxT1+6K0juAxhg4pKc33jTasAqRfuimqmRnNPUYGKAFooooDcayZOc0nl+9PooC1hMbVFCnIzSnkYpFGBigYq8Gn7s0yl3UCJA+O1NZt1JRSYrDW4Wmr90U5+lRq+BjFRcZJTWXvmlU5GaU8jFICBfvVIv3qbt2saeo7015gObjmoWb5ulTN81QsmO9N26DQm6jdSUu2oKBfvVajTKA5qui/N1qyrbVA60XENkO3ios5qSXpmq/mY4xSEdhtox70bhUUj4Y17Bx2sOkUetQbth9aDJuHpSY3KOaQyVjlarzH5TUxb5arytkGgClJ3pIm5xRK20VDG3zZrCT1Gi+rbc96Y33qasnbFDttzxSTQxy/ep8nypmoY5M84qSVv3dUgKNw2cmqvmfLjFTTv1GKql8HpXNOTLiLu+bFOzjimLzzT8Z5rE1FpydaavXFSRrz1oJkSq3zVOpyM1CsfOc1KvpXTFmTAsfSlGT2p6rk4xVmOEcCtkhXQ23jzg1fVQkfXmmRRBcHNJcTbQa0SZzykytdSbQR1rMlkJ+lWLibd7ZqnI20levvUykbRXURWzxViHtVVOtXIV3Yrlu7lFlfWlkbC5oxjikk+5XStiSlctuBrOb71X5vu1Rb7xrnk3saRQJ1q3DVaNc96tR1BbRZj6ipqgjqwq/LXTFuxixrLu71DJFjPNWG+WopDlc1QIoyL1qMLVlh8tRbPeuaW5ohm2onX5jUzDBxSYqS0xi/dFOX1o20tBRKv3ahm5zT1fAximyDdzUy2C9ir5fOc1p6SdkgOc57VR8v3qxZv5cyD3p0/iJk01Y6DVlE+mGML8wO7dWR4dvbex1aCW9h861UyeZHt3DlMKSM+tdJb2oubfbu4bjOOlcXfKYriRCu1lDYI/iHYH8eadeOoUJKziyyzCNl2/dA57YrYsZhKoB7CqmrXVpqC2QtI/LZbdUmyoUO2OXUZ5Gevvmm6WxWTaTnjGR0PvXFRfK7HZWj7SmpLoZmuW/l3bEfdb/Cs2um8QQ+Zbq4HK9a5nbt46060bS0MaMlKIUUU5UyM5rA3G+laVigjjLNVKGPc4q5dOIY9orSBnKXYqXchlcnpVanltwpNtVItbAvSlopVXdUDFjFWEbtikiTGB1qdU71cdyJPQcv3RSMmTnNOprPg4xWyMNBjDBxSqmRnNIxyc05G7UMQeX705RgYpaXbSANtLRRTQBUi/dFNVMjOaeowMVa8wGN940K+BjFOZMnOaTy/er0ANu7npR5fvTlGBilp3QDN23jrTlORmkZMnOaVRgYougFoopdtF0AlFFFK6AKKKKTYBRRRSTFdDl6UUL0oobDmQyRsdqhVt1TSLnvUKrtqR3Jl+7S0i/dpTwM0ARt9405fuimMcnNPX7ooAdUUjYzUtQzdaTGMU5FPXpUa/dFSL0qRjk61NUKdamoDQZI3y4xVY1YkGc1XYYNA7dTqFnJ4xQ0nHSq6yYPSn+ZuXpivUuzkEyT3qRXwoHWo+goVhtqkxWJTJkYxUEpxUlRzD5c02BRnftioo2p9xVdc7utcjepVi8jDNErDmoo1/2qSbgnmnHcLEsJBomk+WoYG602YnFXewivK3Wq5OTUrfNUTDBxXLJ3ZrEev3RTg3OMVGr4GMUqnLZqCyRfvVYj9ahVctmrCL2zRexMh6tnipUjOajWP5utWofTFdEUtzCTJYYehzVpYwvvTI1wM09nCrmuyOxhJuwSNt5zj2qjdTZzRdT5YkdKoySblp3sOKuNkO6oWOWzTvM4xjNNA3GuScrnXFIdGue9XIBjFV448d6tRjHFZhJJInqOVsLjFPqKauqOxiVJvu1TZMnOatTNgYxVauaW5cRYxjirEdQL61NGai5dy3Euean+7xUMVSt1rpiZMG+aomHapTwM1C7d8VQiF12jFRVOR5nPSomXZ71jJFRYxkyc5pPL96cpyM0tZlkTDBxSU5vvGm0FJ9w74p+3K9ajX71TL0oG2Qsuz3psTZmQ9OakkXOaZH8pX2pJK6IO10eX/RgpGTnOa5vxNamG/EuNm/ocZrd0OUNCgxz/8AXqLxZGs0Mb7f9X29a6q0bxuYU5WqalHTtQ09fB95YS2qnUpLhJIrzy8lE3Kpj3Z4U53YxVSPMdwC3y5PT27fhjFWvBepabpeuCXVbT7ZYtC6NCFLEscFWxnnGKy2j+yhUDBlUEqRxkZ4+nFeO1yyufRwXNBp9jduI1uLWRfUcVxssZVjn1rq9Nl85cH0rC1u38m6OPutXRVXMro8en7k3EzaejdqYx60+MdDmuM7S5ZKBkmoL6TzJG9P/rVMn7uHPc1Tc7ias57e8No74oo75oNUO8v3pyr81KnzYqWNeaqKuxSehJG21Rxmpd27nGKZsz3pyjAxWyijFu4tRt941JUbfeNUSCpkZzSqMNilX7opdvzZoAdtpaKKAHKmRnNL5fvSr90U6mAijAxS0UUAFFFFNeYBTWfBxinU1kyc5puwCqcjNLSKMDFLUgFLupKKACl20lLuoASiiikJhRRRTIsxd1LTacvSkNLuNfpUNTP0qGmVYkX7opx5GKav3RQz4OMUDGMMHFPX7opjHJzSq+BjFAEh4GagkOeakMmRjFRP0pMaET7o5py+lRquR1p8fBqRslX71SM22mKveiR/agVhGbIJxUW3dzmkabHGKcv3RQVdmyDk4qVfu1VWTa2MZqdZeOleicg5mwOlRgmlZg1NzimnYCRZNq4xmiSTcvSo91DNlcU+YCpNVYNtPSrNwMcVTdttc8t7lK5YWTvTZJsseKgR93tT9u40kxu5Yt/u5psvzD0p0f7tPWoJGzmjmCK11IXbbnvUe7dzSuc5po4rORpawVJGue9R98VLGSvbNRuMnjXnrU6/eqOFc81MqfN1quUmWxLHHuOc1dhhwoOf0qtGtW422qBiuiJzS2JCQoqncyHJ5xU0rd6ozNnPNdKehla5DJJx1qszdqWQ9aj3Vzzk9jpjEWnJ1pm6nx1iXsWo1yasonPWq8XarKnvVxjcmTdh9QzVN97NQTNjNdWljMpzLnvVfGOKsyHdzVZutccty0KvpU0YqFfvVPHUWsUXIh8oNSVHC3ygVJXVEzY1mwOlQO3Sp2XI61A69KpiADaMVFN1qUHcM1FN1rKWxSI1+6Kftpi/dFP3VnYoY0fzdaTy/en0UWAi27WNO8z2pWXvmmqmRnNIYMcrmo17VLs4xmmbdp60AdFoLfpWjrFt9os5cHnbuHH6ViaHNmYrj8a6xYdyL/FjqPWu5JzgclRqM0easxhkBZ2jwR9w/N9B6Vp6peQX00b26hNkIzFjDNzg4Hf1pmuWn2W+kUgDb83Trnmr1nqGn/8ACLvYzQkai12s0dzt5MWFUxq3rkk149Xex7lKfMkVtLk8uRhnIzgGjXovMt1cDletVoZCkqnbgccdD+PvWxNGLm0kXHUVpTfNDlZjio2mpo4v1FPh+/jtSSKY5GB9cVNbx8FvWuVr7zW943HXEmBgVWpZQScZ6Uqp8o5pEDaVV3UMMHFC53dKpagTxpjvUijDYpsfNShcsTWkVqRJ6D16UtGMcUVojIKjb7xqQ8DNRMcnNNgORu1SbajRe9S0gCiiimkBIv3RTqav3RTqvlYBRRRSsAUUUUgCiig8DNABRSKcjNLQAUu2kpy9KAG0u2kbrS7qAEooooGFFFLtoANtLRSbqAEfpUNTN81RMMHFAhVfAxikY5OaSikAUUUUrgFNfpTqRuQaQ0RK+BjFSRnPNQg5OKmjoKJ16UyTvT16UySpk7ArlZvmbFTJ90VGqbmJzUu3bxUqQ7F6NssakznvVOOQqxqUNx1r0Ls4yZm296FmHTFQM2aauR3ppgW/M9qPM9qhWTtin0NgR3BzzVGdto9avyLuFZ90O3pUNmkNxsUlTeZhh3qkueuanh+ZhU3KkXj/AKsGq8jVYkb5RxVRzkZoFHciJyaSiiplsaCquWzViNcVFGue9Tr96lHcUttCeOplHzVAp+bpVuEbsGtEYyehYgX5QaezhaRW2rUMnIznFdUY6Gb1GzzcGqMjlqkmfqKrM3y1LlYIqw0nIpnSl3Ulc73N4gvzGpo096iX71Tx0ipFiOrC/NVeOrMfrXREwY7G0etV5vmBqdm7YqvKeoqySq33art1qw/Sq7cc1zS3NEKv3qnj61XjOeasR9akGWo228VNnPNQxru5qbGOK3iQw6jrUEg5xUj8VFnPNWIRRgYqORc5qWo5O9TLYaIV9Kftph+U59akrIYm2kp/bNM60AB5GKRRgYpaKQwqN+5qSo5O9GgF7RJAl0Peu2hYlCwOOK8+sZNlwh9DXfWbiSH04rtoS92xz146XOX8WR7po5e+3afejwLqWnaXqk0mq2pvLWa2e2VFTeUl3IVfGRt9N3b0q34mh3RqQc7a53S5IoNStnlj8yFZo3mT+/EHBZfp8vT3rzcVG09D0MLK8NQ5jiiYrj5RkenH15+vfrW5pcqyw++CMVU8UJpza5qL6LE0WjySj7MpGAq4Ge5I+bNM0uQBiB9Otc9J2kdtePPT5jG1a1MN9IvbIxx7U04hhAzmtrWbMtslzyOvHWsCYkjFFSNnc5ac3JWIW+8e9PXhAaaF3c5p+PlArM0G7d3PSnxrikVe1SonPWritSZbDwMGpFHek8v3pyjAxWqM2LRRRVEjWbtimqmRnNOZMnOaVRgYpMAUYGKevSk20tIApypkZzTakX7oqkwFUYGKWiinzMOZBRRR+NF2HMgooopBcKDyMUUu2gBqjAxS0Uu2gBKXdSUu2gAxnmjbS0UANoobrRQAUoNJTSue9AElJtpFO0Y60u6gA20x075p+6kb7tICGiiikMKKKKQCbqRvu0N1prNgdKAREv36sxr71VXl6to22kUPZtnvUMkvtT5Hz2qux3UtGO9h0bZ7VY27uc1Wj+9ira/do5UDbHNHhic0nXvip5F681WdSvNdsjmirsfu/Gl3VAsnHIo3Z5qSmkWUIzU1UkJzVpG+UUiLBI2O1Ubhd2TVqZuvFVpTlaNyo6FTOOKmtvvVWkXnOasWfUClY0sXZPu4qs33ankf2qs78dKGKxHR3xQOaVVy2ai4yaFfeplT5utMjGOKmUfNSJkTQx7jVtItveoIE6HNWsgLXVGJi2K2AvWqsz7Vp00nU1Smm3D0rfmsiUMkO7nOKh3cYprMelN344xXNJ6lpD6KRTkZpag0Wg+OPvmpY+tRRydsVLH1phJ6FqJc81P93ioImqbOea1iYsKhm61MeBmoJDnmtRFZ+lV254qeRsdqrNJ83SuSbNIodGMcVYjqvGc81ZhXcahMqxah6VK3WmRrtHWn11xMmRyd6iqWTvUVUxCM+DjFNY5XNOZe+aYfu1EthojI3Yp46Uynr0rMYFu1NpdtJQAUUUUAFNZd3enUVL1AjjXbIOe9dvo7+bboc99p9q4tuNprqfC9xmCUHk7gQK66Fk7GdTWJLrVqzWkrdSvT3riAHjYnncoZ1A45xj9K9J1YfKcdCOlec6hvjuDg4Ibg+3pWOKj71zXCvSx0PieHRv7J0STTgrXslsxv9pJKupwCx6DIwax7FjDdMGJbBxk8dKvWVlZXPhPUbl7tory3kVY7ZW/1gcoCduPmxn1rLV9szMB3zwfXnFeSk4yue9ZTp2NLW7jFuFFcyznoefetLUbgz8dKzSu7nNdNR8yPMhHlFX7opaVV+XrS7axSsaAv3qmjXJzUSrz1qwi7e9aImWw/GOKKKK0itTNhRQeBmkU5GatokWiiiswHL0ooXpRRYAp6N2plKrbaBMlopN27mloIswppXPenUUtQsxBxS0UUykhN3zYp2ccU3b82aWmUFOXpTacvSgBrdaXdRto20ALRRRSATbRtpaKLgNoobrRRcAopdtJRcAob7tFB5GKQEXbNIOaVvSm/d4pDQtFFFA2NbrUcnepG61FI2M0gQ2Ndzdas4xxVeA5NWHbbRoxjZCKhBycUSMWY9qSNfeiyQyWOPvmp/M9qYi9BSsMHFMTRa37uOlJIo2461F/FnNP3buK62znjoypIh3H0pVbHFWmjBQ881QfKNUGmjLar3zU6sNoqpHMMAVLknvQHKh0tV5Pu4qVn7VC/SkxWRUkqzZDkmoJF71PZd6i7NdLEzncCarv3qw3Cmq7dxRcgYvSnp1po4qSNc96EBYjXPerMa1DCvvVmNOetXZES2JoxgZokb3xS/dXrVeZ+prritDDcZK3HWqb896fJNwaqls81nOStY2jFD9vvSeX70iydsU+si0kgUYGKWiikPcVfvVPHUMa5OasRpz1qlqZyWhPH61Mv3aiUYGKkX7orWKszJjjyMVBIMcVPUM3rVPYRSl71Vb7xqxM3Xiodu7nNcstWbxHQ1ch9aqRjHFW4elOEddRy2Li/dpGfBximq+BjFIxyc10bGDBm3UzpT+2aZ1oENZu2KYfu0r9zTN3GMVMhobT16U2l3VAxaTbRuo3UAJRRRQAUUUUAIw3YrY8OzGO6x1U9qxmfBxirml3XkzA4zk+tXB2kiZao7m6j8yEtnoK4LW4dsmfU16FCqtZAls5Fch4gtwcEHp7V04mN4pmWGk4zsQ+C9HtfEGqPZ3l8unJ5LvHcNjO9MOFH1xj8axY2Mke5gQ3fd1pbXY13FG4wjOg3MPukttJH0Fa3i7SIvDWr3VjHerqEUbfLdIu0OCAemT0zjr2ryJpNaHvxny6HO3DFiaiX7opzelCr8vWs1cxfkKvpTttCx980ufmIqiGKg5qdelRKNpqVfu1aM22O20lLupKokDyMUijAxS0U7iCiiikA5elFC9KKAHKmRnNIwwcU9fuihkyc5oGC/dFOpFGBiloAKKKKACiiigAooooEFLupKXbQAtFFL2zQAlFA5opAJuo3UjdaKLAFFFFFgF3UlFFJgFFFFICN+5qNvWpmXI61Ft4xQNApyoNOwPWmfcUDrSbi3OcUFDm+9UMi7mNS1G33jUyASFdpqZ8EZzTP+WYpnOMZqdikIV560KcNikB7U5V+brT5hvTYnjapPL3c5xUcac9atJH8o5/SiJDbGtHt701TjmpJO9RdBmu1nPHcfu61XuId65Bx+FOLZpyt2NSXbsU1BVsGrSsFUDrTbiP5siq7SlcZFBoti195qbInvTYpOlPkYVDYFSX5eKntl2LnrUUi7uc1NAcripAcz5zxUZTJzmn7aazbTjGaa8yRm35sZqaOPHemKu5s9KnjXnrVaITdieFPerKrtXOahjG0U9m+WtI+Zg5NhLJVGa46jH61JNJ1FU2bOa15rIuC1EbLjrikVe2aci7qf5eG61g3qb2Q1Yec5/Sn7felopXQhrfLTVbd2pz9KjTrTuIsR1YTrVdOtWE61cNyJ7E1SL90VHTlk7YrYwJDwM1Xmk46VMz/AC9KqzNxSbAqS1Er4GMVIx3Uzy/esHubxHxnPNW4elVIxjircPSnF2YS2J6XtmkpT92tjFjd3GMUlJSM+DjFAhr9xUfSnscnNMbrUyGgoooqBhQeBmig8jFACKcjNLSKMDFLQAu2kb5aXdSN81AETHJzToshgc45o8v3pMYwM96OozvdLla4tQvoKy9ThMm9TUvh682REH6Vav4xtZvvEivRk+enqcf8OocCwxJtKqwBOQw6+lR3U25FQjhferl9A0V4wI4PNZdy25j2rxGuXQ9pPm1FpV9KjjbIqVV561Ax6HjpSKu5ielTRrtX1pg65pmLk7i09fuik27uc05RgYqkIWiiiqEFFFJu+bFAC0u2jbS0DCiiigCRfuinU1fuinUCCiiigAooooAKKKKACiiigApd1JRSAdS9sU3dS0rgA4oopN1ACN1ooooAKKKKLgFFFFABRRTWbb2pAOPIxUTLtpwkz2oZdy5oGRN81IowMUvSigaGs+DjFJtDc5xSP3NNBNJuxaJCQq4qOmOx6U5Puis5O5dhVXLdalWP5qSOPdzmrKrs96lEy2BY++acZNpxQzd8VEzZOcVaMydjuXPSo2+7Vhovl61C6lRjrXe0cyZD2zSI3PSnEHbTFGOag0i7k2A3JNV7qAMuQf0qTdlsU/blaTVzQoRsVODU27cOuKWeEc4P6VX+ZR61FrDHSSbOMZqa0bcPSqcjbhk1ZsW4pAyw3U0mKVvvGjFNEiKPmqxGhpka9Ktx/KBxVcqIlsOWPCZzVaWTrUs023PFUJHyK30sZDJpN1QiTtinZzxTFT5utc7ep0xWhPHwM1JnPNRqe1SVI2FFFIzbacUSI3PFIic9aN27mnL96rsBIv3qnTrUC/eqdOtaR3InsTd8U5Y+c5pv8WalX7tamIx+lVZvu1ZkbGaqyHctDBFak3fNilb5aavPNYM2iSKNpqzD90VXUbqsRLt4pDkWKD6UL1obrXSkrGDGdKayZOc05uOaZ5ntQxDWXbTOtPZt1M6VEhoKKKXbWZQlFDfLSKcjNMQtFB4GaRTkZoAWiiigAph+9Ss+DjFM3fNmpkUtzd0OUNIARjmunu/Lkj4+U4ritLlKzDAroPMdifSu+m1y2ZyV43aaMXW1WNt3U1y833iPeui199p21zbfMc15mIaTPUo/CLHxVmPrVf7uDViOuWLuzWWiJvux1GKSZsLSR9AK1MWTL90U6kX7tG75sVRItB4GaXbSN6UwEU5GaNvzZoUYGKWgBd1LTOfSnr0oAKVV3UlPRe9ADtu3iloooAKKKKACiiigAooooAKKKKACiiikwF20tJupakAprdadTW60AFFLtpKACiiigAooooAKjk705nwcYqOR/agaGbwvFTK4ZBVRssxOcU+MnGM0h2JG+9SUN8vvSKcjNF0MZJ3qPdtWpZOlV2btiok9Co7hu3NUkfPFNjhLYOcVajh2nr+lQipOw+KPao5qRvWjpTWbA6VVjO9wLDaKYBmmFi3tTkO1QOtDuOKNHtimFARThzS9s16cjiRXkQLxUOz3qxJzk1FggZrNmkdGRbdrGneZ7U1utJUmt7jZOTmmeWJFz0p7c8UD5VHekxopTR7cjrTrVitSS/N2qKP5SKxe5WhdVt1TxjjFQRDNWI196tX6GctNiaNAADTmYLTdwXjrUUzdxW6RldsjuJeTVGSXkjFSzN71Vb71RKTRcY9x6tTtx3nio061ZVe9ZGoqjvUlJtpaNxC9s0xvmp/bFM6VaVhCKMDFOX71IvzGpFj75qgHouT1qZfvVFH1qdFyetXHczm9CVUyM5p6jAxQv3aWtjAhm61UkbHarc3WqUveplexUdWRN81IowMUUbvmxWBtEljqyi96rR1ZRu1VFXY5bEqnvQzc0YwtN61uYsG+aomXbUtRyd6GybDRzTW60q9KRutZy1Ggpd1JRUFA3zUijAxS0UxAeRimrxxTqTb82aAFprPg4xTqjb7xpMaEY5OaSijvikM0NK/1orpDjys+1c3pf+uAro7hdtoTntXbTtbU55N3scjr9x5k57Y/wrHhwGwTV3U8yTOM45/pWYylW4NeRXfNI9Kmnylu4UbgQcinxkgA4qBVLEAnpVxAOmKzgtSpMjk+ZfSiOnypjvTI62RmydelKF5zmkXpTt1MkWk20tFMBNtG2looAVcAdKKVUyM5pGGDigBKkX7opqpkZzT1GBijcA3fNilpNvzZpafKwvYKKKKOVhzIKKKDwM0WC4UUinIzS0gCiiigAPAzSKcjNKeRikUYGKTAWl3UlFSA6mt1pd1JQAu6koooAKKKKACik3Cm+Z7UAI/c1G3K09m3UxuFoAhpVb5qTGCaQfeNT6m1tCx95fSm7dq+tKrDbStgr1osibMhkfK9KijGWzT5O1LHHg9aTS6BqidQF7VIvLUynovehRDcc7bc8Uz749KJDkmheFolpsEUM2470tK3WkrO7NLF/wC7xS5ytRtJ83SnK3y9K9c80VsBajYjb0okbrTAcrUNIpXI2XPNM7ZqbbxikxtUDrWbNI7kGN3PSkb7tPPrTG+aokbELLlai24I5qdhhcVWf71ZjL8I6VLghutQW8nyjirFXEmSuK3ruqN5PlpJGxVZ2z3rTmsJRQyY7mNRhcnFKxw3rQv3qzk7ljlj+brVhfu0xY++akVeKkTHL0pypkZzTacr4GMVUdyRGGDim7acxyc03dVhe4qjaakVs8VGpyaev3qCZEi/eqeOolXLZqxHH3zWkVqZSJF6UjPg4xS0x+5rVGTIppOvFVZOc1Yk5zVZu4pS21HBakVJ/Gad0pv8Zrm1udEdyZOtWE61DGue9Tr96tI7hLYm7Ypu2lorW5kNqN+4qRuOaib1qZAIOKa3Wl3UYzzWYBtpKdSbaYBtpKdjC03rQAHgZpFORmlb7tMRu1AD6jb7xqRvlqJjk5pDEpF+9S0i/eoGjQ007Zga3bqYm1bjHHrWHpq7pRW1fqE09jntXVHYwlpI4u6kLTOcd6rBdzdKtso3Hv71GMK2MV5VWN5aHpwdojo4+c1Pt5zUYODUinIzUxTuJ2CRdy1Cow2KnPK1Av3jWiIJl6U7bTV6U9elUSFFFFG4BRRRVKPcByvgYxR95vShUyM5pyrt71VkAu3bxS0UUAFFFFMTt1CiiigWgUHkYoooHYRRgYpaKKloYUUUVNgCiiikAu2jbRupaQDaKG60UmAUUUUgCiiigCGQHcecUD86kZMnOaYwwcUDQlNbnin9s0gXdzmpk7FWIH+Wo93zZxU0y7ar1ldm62sTBt3OcUjN8vWo80jAletNPuA4fNgVMv3qgh9KnH3jWiZnLYlp6t8tM74p2ccVRK8wYZOaM44o3UYzzUSuWrdBPvGneX70KvPWnt8rYqOUGG8VMhG0c1R3d81MsvyivR5tTm5Cd8HvUf3eOtMMmaNwpcxLiSU1+lJ5goZw1IcVqR9sUzpT6Y3HNRI0RHJ3qrM22rLNuqvOnHWs2UtSzZtvAHSrnbNZdpJtatFWGwCnF6g0QTN1NVjknrU87YJFQU5PQIrUAm7vUiw/N1/Smp1qZfvVCLaHquBjNOooq0ZS2CiiirsZXCk20tFMcdxF+9UyLk9ag3HeeKsR00EtiaNeetWV+7UMfrUqtnitY7mLHU1lyOtOprNgdK13EVpOM1Wbuasyc5qs/esp7FR3I+tIq5brRTl+9WJrHcnjqdFyetQR1YXiqjuEth9HbNJnPNL2xWtjFjG5Wou2KlbhahpiE20tJupaVkPUKKRm20K272qWgQ4/dqOpG+7UdSMU8jFR/db1qSo2+8aAHNJlelRjmlP3aYGpMpai7qF+9SU6NcnNSWol/TWxN0rW1ST/AEF1rL09MyAd6vayvk2JJOSegrojLQ55fEjl5G8tiOtNUbmz0pWXe3WiNdpxXDL4jv6Evl+9OUYGKOig0KcjNJEsU/dqBfvGpzyMVDjEhFUSSr0p69KjVu1SUAFFFOVMjOaqO4AqZGc0vl+9OxtUUKcjNWAKMDFLRRQAUUu2jbQAlFLtpKACil20baBWEopdtJQMKKKKACiiilLYAooorMApd1JRQAUUUUmAU1nwcYp1Rt941I0PU5GaWmr90UM+DjFA7Az4OMUxjk5oY5OaSgEBbtSqcLTG605elRLYuO5FcdDVZelWpV3CqrfJx1rFmiDdRu4xim7t3NJu+bFCGSxdc1OPvGoY1qZfvVpHczkS/wAWaWkorUgbu+YjFTKmVBzUO3Lnmp0bHGKRSHKu3vQy7mzmlozQEmUtpPOcUvK8Zp7rt96jyfSukzUrj1UkZzS7T60it8opd1Aw2n+9TWJBxmhpMHGKbu3c0rhYkX7tI/SkV8DGKGbd2phYiqOZcrU22o5PSsprQqO5Wj+RvWru8hapldpBqyG3KKziVLYSRt3NRr0pzttGKap3VUthR3JY1z3qQfeNNj7VKF5zmlHccth1FKBmhhg4rZIzYlFFFURyoKKKKA0Q5BzViOPJznFQxrnvVqOqjuRJ6Eix/L1pyrt705V+Wit4x7GIN61GxyuakPIxUbDC4rVJoV7Fd+9V371PI20Gq5bcK5pmkfMjpy/eo20+OPnrWRqrEsfrUy/dqNV7ZqRRgYq47ilsOX0pxGKao70rNnjFamLGtytRds1K33ai7YoBDfvc0tA4ooBiMu6hV2+9LRQIGbtioy204xTm45pm3dz0qGihynIzSMmTnNJu28daPM9qgYjDC4qAvjjFSs+e1RlMnOaRcdwVt3ap41wM1Aq7e9WI/mWkaGlo6lrgHGRVvxVt8uEK3GKp6Kx+0dcCpPFEgaRFUYUCt1sc1ryOdHDYoX71L3zSL96uF3vqdivYm6qBQowMUL0o3fNihCYtQtxIan21DIuHqiR6r3qSmqMqDTqNwCpF+6KaqZGc09RgYq0rAKeRikUYGKWiqAKKXbRtoAN1LSbeM5oDUAG6jGeaMZ5ozjigBaKKKACmt1p1NbrQAUUUUAFFFFTLYAoPAzRQeRioAarbu1Opqrt706gAooopMAqNvvGpDwM1Exyc1I0Kr4GMUjHJzSUUFBRRSbqAEbrRvxxiimt1qZbFR3Bjlc1Umb5jVrtiq80eSeaxaZoQLJgYxT1HmYPSomXBxmpoegpILssRrUqp3zUadjUy/drSO5DQtJup22kZea1JsIv3qlVe9NWPvmpFXigQu6msu45zj8KVvlqMnPOcUAPZfl6VGU4zVwqNvSomA210s5kytto205uppKiWxpFsjaM7qQgqKsKoK02RRUbGhACT2pakVRtpjfeNWmMazbajYblz0zT36U0f6sUS2KjuV5OMVKq7lBziope1Tx/6sVypu5YxlwOtMVtrYqWTvUH8ZqrhYsxv7VN5gFV060sjHceaqO5MtiwsnzdKk+83pVaKrK/erZMgNvvSU9utMbrVCYlKq7qSnJ1oM5Esa7TjrU8fWmxjpUn8Zqo7mUidfuikbrSr90Ujda7I7EDWfBxio5H9qc33jUb9KoTVyCQ7lqCpn6VDXLPcpBT42plOTrWZaLC8tUu2ok61NTjuDBeKa3FOpr9K1IYmdyio2GDinr90U1vvGgECpkZzSMMHFPX7oprfeNAxtFFFACMu6m7dvFPprdamQEbfeNNpzfeNNrNjQFe9Rl8HpUp+7VdvvGpNI7kinIzU0R4qBfuipo6CzQ0v5ZiByaXXWLugIwafpqjfuxzTNcOZkrXoYL4jFC0KvzUooH3q5JbnatiRV+Wk24YmnL90UjdaDJ7i7qik+9UlRSfepiJY/ugU+mR09utVHcB6/dFOpq/dFOqwCiiigBy9KKF6UUAL2xTdtLRQAUm2looAcsfy9aa2VbGM1Iv3RS7QaAIhSbac3DUlACbaNtLRQA2ihutFABRRRUtAFFFFQAUUUUAB5GKiYYOKlqNvvGkxoZuo3UjdaKkoUtgZpF+YZ6UN92iP7gpMpCMcHFNpW+8aSobZdgqORc5NSUuPkNRcDPb7xqSLtTH+8afF2pAWU7CpVOBioo+1S1cdxMUSHOMVJt3c9KbGKlNakXEUYGKdupKKBDZH9qhxu5zipJO9MXpSZUdz/9k=
Ε-mail: g.nokas (at) uop (dot) gr
Τηλέφωνο: 27210-45-153
Γραφείο: Εργαστήριο 94-Β (είσοδος απο το πάρκινγκ)
Ώρες Γραφείου: Δευτέρα 10.00-12.00 - Τρίτη 10:00 - 12:00
Σύντομο Βιογραφικό Σημείωμα

ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑ ΝΟΚΑ ΓΕΩΡΓΙΟΥ

Τόπος γέννησης: Αθήνα
Ημερομηνία γέννησης: 12-06-1971
Επαγγελματική κατάσταση: Μέλος Ε.ΔΙ.Π Παν/μίου Πελοποννήσου.
Εκπαίδευση:

1990-1996: Δίπλωμα Ηλεκτρολόγου Μηχανικού και Τεχνολογίας Υπολογιστών
Παν/μίου Πατρών.

1997-2004: Διδάκτορας τμήματος Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών
Παν/μίου Πατρών.

Διδακτική εμπειρία:
1. Εργαστηριακός συνεργάτης στα ΤΕΙ Πατρών (2001-2003).
2.Εργαστηριακός συνεργάτης στο τμήμα ΔΜΥΠ του ΤΕΙ Καλαμάτας2004-2011
3. Επιστημονικός συνεργάτης στο ΤΕΙ Πελοποννήσου 2014-2018.
4. Καθηγητής Πληροφορικής ΠΕ19 μέσης εκπαίδευσης 2004- 2021.
5. Μέλος Ε.ΔΙ.Π Πανεπιστημίου Πελοποννήσου 2021-σήμερα.


Επαγγελματική Εμπειρία:

1. Συμμετοχή σε ερευνητικά προγράμματα
1995 - 1996: Συμμετοχή στο πρόγραμμα "Developing of an Isolated Speech Recognition System,
Speaker Independent for the Digits and a Restricted Number of Commands in PCs and through
Telephone Lines" General Secretariat Of Research And Technology, Siemens S.A.,University Of
Patras. R&D Project.
1997: Συμμετοχή στο πρόγραμμα: «ACCeSS, Automated Call Center Through Speech
Understanding System (LEI-1802 10347/0», E/E. Το πρόγραμμα υλοποιήθηκε στο εργαστήριο
Ενσύρματης Τηλεπικοινωνίας.
2000: Συμμετοχή στο πρόγραμμα: "Automatic Speech Recognition in Very Noisy
Environments", R&D project in corporation with Snt Petersburg University, Russia. Το
πρόγραμμα υλοποιήθηκε στο εργαστήριο Ενσύρματης Τηλεπικοινωνίας.
2001: Συμμετοχή στο πρόγραμμα ”Development of advanced hybrid methods in critical
decisions: applications in medicine”, ΠΕΝΕΔ’ 99 Δεκέμβριος 1999-Ιούλιος 2001. Το πρόγραμμα
υλοποιήθηκε στο εργαστήριο Αυτοματισμού και Ρομποτικής Παν/μίου Πατρών.
2002-2004: Συμμετοχή στο πρόγραμμα: “Telecare EOK/IN-13, ΕΙΧΗΜΥΘ. Στα πλαίσια του
προγράμματος σχεδιάστηκαν και υλοποιήθηκαν: α) ένα σφυγμοξύμετρο και β) ένας
καρδιογράφος πολύ μικρών διαστάσεων με χρήση του μικροεπεξεργαστή MSP430 της Texas
Instr.
2004-2005: Συμμετοχή στo πρόγραμμα HEACE ( www.heace.org ).
2005–2007: Συμμετοχή στο πρόγραμμα ΠΥΘΑΓΟΡΑΣ ΙΙ (ΕΠΕΑΕΚ
http://epeaek.upatras.gr/index/sub_project/103 ) στο υποέργο: «Έλεγχος θορύβου σε οικίες,
γραφεία και εργοστάσια για την προστασία του ατόμου/εργαζομένου: με την Αυτοματοποιημένη
Μεθοδολογία της Μείωσης του Θορύβου με Ενεργά Μέσα και συνδυασμένη χρήση Τεχνητών
Νευρωνικών Δικτύων και Γενετικών Αλγορίθμων» ως μεταδιδακτορικός ερευνητής.
2004-2006: Συμμετοχή στο πρόγραμμα MESEMA http://ec.europa.eu/
research/transport/projects/items/mesema_en.htm .
2006 2010: Συμμετοχή στο πρόγραμμα SENSE (ftp://ftp.cordis.europa.eu/
pub/ist/docs/dir_c/ems/sense-v2_en.pdf). Η συμμετοχή περιλαμβάνει την υλοποίηση ενός
ακουστικού συστήματος εντοπισμού και ταξινόμησης ηχητικών πηγών.


Ξένες Γλώσσες:
Αγγλικά: Άριστα (Proficiency Michigan 2003).
Γαλλικά: Καλή γνώση (Β2 επίπεδο).

Συμμετοχή σε επιστημονικές επιτροπές
Κριτής στο περιοδικό IEEE Signal Processing Letters
Κριτής σε επιστημονικά συνέδριαΜέλος επιστημονικής επιτροπής στα συνέδρια:
1st IC-SCCE, Athens, Greece, September 2004.
1st Eps-Mso , Athens, Greece, July 2005.
2nd Eps-Mso , Athens, Greece, July 2007.
3rd Eps-Mso, Athens, Greece, July 2009

Επιστημονικές εργασίες:
A. Περιοδικά
[1]Nokas G., Dermatas E. ''Speaker Tracking for Hands-Free Continuous Speech Recognition in Noise
based on a Spectrum-Entropy beamforming method'', IEICE Trans. Inf. & SYST., Vol. E86-D No4. pp.
755-758, April 2003.
[2]Nokas G., Dermatas E. ''Maximum Likelihood Adaptation for Distant Speech recognition of Stationary
and Moving Speakers in Reverberant Environments'', Signal Processing and Pattern Recognition AMSE
periodicals, Vol. 47 nº 2, pp. 33-46,2004, ISSN: 1240-4543.
[3]Nokas G., Dermatas E. ''Continuous Speech Recognition in noise using a Spectrum Entropy beam-
former'', International Journal of Robotics and Automation, Acta Press, Vol. 22 nº 2, pp. 103-111, 2007.
[4]Nokas, G., & Kotsilieris, T. (2023). Preventing keratoconus through eye rubbing activity detection: A machine learning approach. Electronics (Switzerland), 12(4) doi:10.3390/electronics12041028


Β. Συνέδρια με κρίση σε όλο το κείμενο
[2]G. Nokas E.Dermatas, G. Kokkinakis: ``Maximum Likelihood Adaptation for Distant Speech
recognition of Stationary and Moving Speakers in Reverberant Environments'', in proc. Eurospeech 2001,
pp. 2631-2634, Aalborg Denmark.
[2] G. Nokas E.Dermatas: ``Hands-Free Continuous Speech Recognition In Noise Using A Speaker Beam-
Former Based On Spectrum-Entropy'' in proc. IEEE ICASSP 2002, pp. 889-892, Orlando Florida.
[3]G. Nokas E.Dermatas: ``Spectrum-Entropy Based Beam-Former With Speaker Tracking For Hands-Free
Continuous Speech Recognition In Noise'', in proc. IEEE DSP2002, pp. 251-254, Greece Sandorini.
[4] George G. Georgoulas, George N. Nokas, Chrysostomos D. Stylios, and Peter P. Groumpos:
“Classification of Fetal Heart Rate during labour using Hidden Markov Models” , IJNN IEEE conference,
Budapest 2004.

Γ. Συνέδρια με κρίση σε εκτεταμένη περίληψη
[1]G.Nokas E.Dermatas G.Kokkinakis , ''On The Robustness Of The Critical-Band Adaptive Filtering
Method For Multi-Source Noisy Speech Recognition'' Eurospeech'97 pp. 1587-1590 Vol. 3.
[2] G.Nokas, E. Dermatas And G. Kokkinakis, ''Robust Speech Recognition In An Environment Of Moving
Noise Sources '', in proc. SPECOM, pp 105-108, Oct. 1997.[10]G.Nokas E.Dermatas G.Kokkinakis , ''Speech Recognition In Noisy Reverberant Rooms Using
Frequency Domain Adaptive Filtering '' in proc. Text Speech Dialogue pp. 281-284, Brno 1998.
[3]G.Nokas E.Dermatas G.Kokkinakis , ''Robust Speech Recognition In Noisy Reverberant Rooms '', in
proc. SPECOM , pp. 257-260, Moscow 1998.
[4]G.Nokas E.Dermatas ''Speech Recognition In Noisy Reverberant Rooms Using A Frequency Domain
Blind Deconvolution Method'' , in proc. Eurospeech, vol. 6, pp. 2853-2856, Budapest 1999.
[5]G. Nokas E.Dermatas, G. Kokkinakis, Feature Compensation For Reverberant Speech Recognition
Using Moments, ''100 years phonetics in Russia'', St. Petersburg University, 2001.
[6]G. Nokas E.Dermatas, G. Kokkinakis: ``Feature Adaptation using A Probabilistic Neural Network for
Speech recognition of Moving Speakers in Reverberant Environments'', in proc. Specom 2001 Moscow
Russia.
[7]G. Nokas E.Dermatas:'' Spectrum-Entropy Beam-Former For Hands-Free Continuous Speech
Recognition In Real Environments'', DOGS 2002, pp. 45-48, Becej Serbia.
[8]Koutras, I. Chtistoyanni, G. Nokas, G. Georgoulas, Ch. Stylios, P. Groumpos: “Linear and nonlinear
approaches for cardiogram data prediction”, 5th International Workshop on Mathematical methods in
scattering theory and Biomedical Technology, Corfu, Greece, 2001.
[9]G. Nokas, A. Koutras, I. Chtistoyanni, G. Georgoulas, Ch. Stylios, P. Groumpos: “Prediction of
missing data in cardiotocograms using the expectation maximization algorithm”, 5th International
Workshop on Mathematical methods in scattering theory and Biomedical Technology, Corfu, Greece,
2001.
[10] G.Nokas, P. Vlachopoulos: “Reliable Tele-Education: Requirements, Scenarios and Concepts”, in
proc. “New Horizons in Industry and Education”, Milos, Greece, 2001.
[11] G. Nokas, E. Dermatas and G. Kokkinakis: Distant Speech Recognition using Stochastic Estimation
of a Speaker’s DOA in Microphone Arrays” , in proc. SPECOM, Moscow Russia Oct. 2003.
[12] I.E. Lamprinos, A. Prentza, G. Nokas, E. Dermatas, A Tsoukalis, D.Koutsouris: “Design of wireless
network of sensors for continuous monitoring of vital biosignals”, in proc. IEE Eurowearable 2003, Univ.
of Birmingham, UK.
[13] Nokas G., Diamantis Z. and Tsahalis D. “Alternative neural network topologies for comfort index
estimation in aircraft environments”. In proc. 1st IC-SCCE, pp. 160-163, Vol. 1, Athens, Greece, September
2004.
[14] Nokas G., Photeinos D., and Tsahalis D. “Optimized feature extraction for comfort index estimation in
aircraft environments”. In proc. 1st IC-SCCE, pp. 1002-1005, Vol. 3, Athens, Greece, September 2004.
[15] Diamantis Z., Photeinos D., Nokas G. and Tsahalis D. “Selection of the optimal patterns for the
training of an artificial neural network based virtual passenger using a genetic algorithm”. In proc. 1st IC-
SCCE, pp. 1097-1102, Vol. 3, Athens, Greece, September 2004.
[16] George Nokas, Dionysios Photeinos, Konstantinos Tsokas and Demos T. Tsahalis, ”Α human response
model for aircraft environment based on neural networks“,In proceedings of 1st EpsMso International
Conference, Athens 2005.
[17] Tsahalis D.T., Tsokas K. Nokas G. “"A Neural Network based Human Response Model for Real
Aircraft environment". In proceedings of 2nd IC-SCCE, Athens 2006.

Short CV

General Information
Surname: Nokas

First Name: George

Father’s name: Nikolaos

Date of birth: 12th June 1971

Nationality: Greek

Marital status: Married

Military Service: Fulfilled

Address: Antikalamos Messinias. P.C. 24100 Messinia, Greece

Email: g.nokas@uop.gr Telephone: 27210 - 45153


Studies
1997-2004: Received his PhD degree on Computer Engineering: "Speech recognition in noise using multiple microphones", at Patras University, Department of Electrical and Computer Engineering.


1990-1996 Patras University, Department of Electrical and Computer Engineering, Division of Telecommunications & Information Technology Diploma Thesis: “Speech recognition system based on psychoacoustic hearing models”, University of Patras, 1996 Grade: Excellent (10).

Teaching Experience
2001-2018 Adjunct Scientific Staff of the Technological Institute of Patras and of
Peloponnese.

2004-2021 Teacher of Informatics in secondary schools.

2021- today Laboratory Teaching Staff of the University of Peloponnese
Work Experience

During his collaboration with Electrical Engineering Department of the University of Patras he
participated in the following projects:


1995-1996: "Developing of an Isolated Speech Recognition System, Speaker Independent for
the Digits and a Restricted Number of Commands in PCs and through Telephone
Lines" General Secretariat Of Research And Technology of Greece, Siemens
S.A.,University Of Patras. R&D Project.

1997: «ACCeSS, Automated Call Center Through Speech Understanding System (LEI-
1802 10347/0», EU.

1999: «KORAIS-Novel Greek-English electronic dictionary 100000 lemas». Secretariat Of
Research And Technology of Greece, R&D Project.

2000: "Automatic Speech Recognition in Very Noisy Environments", R&D project in
corporation with Snt Petersburg University, Russia.

2001: ” Development of advanced hybrid methods in critical decisions: applications in
medicine”, PENED.

2002-2004: “Telecare” EU/IN-13.


From 2004 since 2010 he was with the Laboratory of fluid mechanics and energy, Chemical Engineering
Department of the University of Patras, as a post-doc researcher. During this time, he participated in
the following projects:


2004-2005: HEACE (Health Effects in Aircraft Cabin Environment). His contribution was in the
modeling of a virtual airplane passenger. More specific, an comfort index
estimation system has been designed. The estimated index calculates how
comfortable the passenger is feeling. The estimation system has been developed
in Matlab.

20052007 PYTHAGORAS ΙΙ (EPEAEK
http://epeaek.upatras.gr/index/sub_project/103 ) in the
subtask “Noise control in home/office/industry environment for the protection of
the employes using automated active methods with Neural Networks and genetic
algorithms as post-doc researcher.
2004-2006: MESEMA. His contribution consist of a) Find the optimal position of actuators for noise reduction in an airplane fuselage. b) Parameter optimization of an electric generator based on smart materials (Τerfenol-Β) which uses the airplane's vibrations for the production of elctrical power.
2006 2010: SENSE. His contribution consists of the development of a sound source identification/classification system for use in airport environment. The system was based on Analog Devices Blackfin Processors.


Scientific Publications

Journals (4)

Nokas, G., & Kotsilieris, T. (2023). Preventing keratoconus through eye rubbing activity detection: A machine learning approach. Electronics (Switzerland), 12(4) doi:10.3390/electronics12041028

Nokas, G., & Dermatas, E. (2007). Continuous speech recognition in noise using a spectrum-entropy beam-former.International Journal of Robotics and Automation, 22(2), 103-110. doi:10.2316/journal.206.2007.2.206-2735

Nokas, G., & Dermatas, E. (2004). Maximum likelihood adaptation for distant speech recognition of stationary and moving speakers in a noisy reverberant environment. Advances in Modelling and Analysis B, 47(1-2), 33-45.

Nokas, G., & Dermatas, E. (2003). Speaker tracking for hands-free continuous speech recognition in noise based on a spectrum-entropy beamforming method. IEICE Transactions on Information and Systems, E86-D(4), 755-758.

Conference full paper review (4)


Nokas, G., & Dermatas, E., & George, K. (2001). Maximum likelihood adaptation for distant speech recognition of stationary and moving speakers in reverberant environments. Paper presented at the EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology, 2631-2634.


Nokas, G., & Dermatas, E. (2002). Hands-free continuous speech recognition in noise using a speaker beam-
former based on spectrum-entropy. Paper presented at the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, , 1 I/889-I/892. doi:10.1109/icassp.2002.5743882


Nokas, G., & Dermatas, E. (2002). Spectrum-entropy based beam-former with speaker tracking for hands-free
continuous speech recognition in noise. Paper presented at the International Conference on Digital Signal
Processing, DSP, , 1 251-254. doi:10.1109/ICDSP.2002.1027881


Georgoulas, G. G., Stylios, C. D., Nokas, G., & Groumpos, P. P. (2004). Classification of fetal heart rate during
labour using hidden markov models. Paper presented at the IEEE International Conference on Neural Networks -Conference Proceedings, , 3 2471-2475. doi:10.1109/IJCNN.2004.1381017
Conference paper


abstract review (29)

Nokas, G., Dermatas, E., & Kokkinakis, G. (1997). ON THE ROBUSTNESS OF THE CRITICAL-BAND ADAPTIVE
FILTERING METHOD FOR MULTI-SOURCE NOISY SPEECH RECOGNITION. Paper presented at the 5th European
Conference on Speech Communication and Technology, EUROSPEECH 1997, 1587-1590.

G.Nokas, E. Dermatas And G. Kokkinakis, ''Robust Speech Recognition In An Environment Of Moving Noise
Sources'', in proc. SPECOM, pp 105-108, Oct. 1997.


G.Nokas E.Dermatas G.Kokkinakis , ''Speech Recognition In Noisy Reverberant Rooms Using Frequency Domain Adaptive Filtering '' in proc. Text Speech Dialogue pp. 281-284, Brno 1998.

G.Nokas E.Dermatas G.Kokkinakis , ''Robust Speech Recognition In Noisy Reverberant Rooms '', in proc. SPECOM, pp. 257-260, Moscow 1998.

G.Nokas E.Dermatas ''Speech Recognition In Noisy Reverberant Rooms Using A Frequency Domain Blind
Deconvolution Method'' , in proc. Eurospeech, vol. 6, pp. 2853-2856, Budapest 1999.

G. Nokas E.Dermatas, G. Kokkinakis, Feature Compensation For Reverberant Speech Recognition Using Moments, - 100 years phonetics in Russia'', St. Petersburg University, 2001.

G. Nokas E.Dermatas, G. Kokkinakis: ``Feature Adaptation using A Probabilistic Neural Network for Speech
recognition of Moving Speakers in Reverberant Environments'', in proc. Specom 2001 Moscow Russia.


G. Nokas E.Dermatas:'' Spectrum-Entropy Beam-Former For Hands-Free Continuous Speech Recognition In Real Environments'', DOGS 2002, pp. 45-48, Becej Serbia.

Koutras, I. Chtistoyanni, G. Nokas, G. Georgoulas, Ch. Stylios, P. Groumpos: “Linear and nonlinear approaches for cardiogram data prediction”, 5th International Workshop on Mathematical methods in scattering theory and Biomedical Technology, Corfu, Greece, 2001.

G. Nokas, A. Koutras, I. Chtistoyanni, G. Georgoulas, Ch. Stylios, P. Groumpos: “Prediction of missing data in
cardiotocograms using the expectation maximization algorithm”, 5th International Workshop on Mathematical methods in scattering theory and Biomedical Technology, Corfu, Greece, 2001.

G.Nokas, P. Vlachopoulos: “Reliable Tele-Education: Requirements, Scenarios and Concepts”, in proc. “New
Horizons in Industry and Education”, Milos, Greece, 2001.

G. Nokas, E. Dermatas and G. Kokkinakis: Distant Speech Recognition using Stochastic Estimation of a Speaker’s DOA in Microphone Arrays” , in proc. SPECOM, Moscow Russia Oct. 2003.

I.E. Lamprinos, A. Prentza, G. Nokas, E. Dermatas, A Tsoukalis, D.Koutsouris: “Design of wireless network of sensors for continuous monitoring of vital biosignals”, in proc. IEE Eurowearable 2003, Univ. of Birmingham, UK.

Nokas G., Diamantis Z. and Tsahalis D. “Alternative neural network topologies for comfort index estimation in
aircraft environments”. In proc. 1st IC-SCCE, pp. 160-163, Vol. 1, Athens, Greece, September 2004.

Nokas G., Photeinos D., and Tsahalis D. “Optimized feature extraction for comfort index estimation in aircraft
environments”. In proc. 1st IC-SCCE, pp. 1002-1005, Vol. 3, Athens, Greece, September 2004.

Diamantis Z., Photeinos D., Nokas G. and Tsahalis D. “Selection of the optimal patterns for the training of an
artificial neural network based virtual passenger using a genetic algorithm”. In proc. 1st IC-SCCE, pp. 1097-1102, Vol. 3, Athens, Greece, September 2004.

George Nokas, Dionysios Photeinos, Konstantinos Tsokas and Demos T. Tsahalis, ”Α human response model for aircraft environment based on neural networks“,In proceedings of 1st EpsMso International Conference, Athens 2005.

Tsahalis D.T., Tsokas K. Nokas G. “"A Neural Network based Human Response Model for Real Aircraft
environment". In proceedings of 2nd IC-SCCE, Athens 2006.

Nokas G., Tsahalis D.T “"Optimal Positioning of an Active Vibration Control System inside an Aircraft, with the use of a Genetic Algorithm". In proceedings of 2nd IC-SCCE, Athens 2006.

Tsahalis D., Nokas G., Photeinos D. “Οptimization of a terfenol based magnetostrictive electrical generator’s
parameters
with the use of a genetic algorithm“,In proceedings of 2nd EpsMso International Conference, Athens 2007.

Επιστημονικά Ενδιαφέροντα: Αναγνώριση ομιλίας, Αναγνώριση προτύπων, Τεχνητή νοημοσύνη, Επεξεργασία σήματος.
Science Interest:

Speech recognition, Pattern recognition, Artificial inteligence, Signal processing