mgonzalezAnonymous212019-09-22T01:14:00Z2019-09-22T01:15:00Z2019-09-22T01:15:00Z143808209491744924708150M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAABAAAAAQAAAAAAAAAA EAAAAgAAAAEAAAD+////AAAAAAAAAAD///////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////9 /////v////7///8VAAAABQAAAAYAAAAHAAAACAAAAAkAAAAKAAAACwAAAAwAAAANAAAADgAAAA8A AAAQAAAAEQAAABIAAAATAAAAFAAAAAMAAAAWAAAAFwAAABgAAAAZAAAAGgAAABsAAAAcAAAA/v// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////1IA bwBvAHQAIABFAG4AdAByAHkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAWAAUA//////////8BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGBNayrjcNUB /v///wAAAAAAAAAAXwAxADYAMwAwADUAOQA4ADQANQA4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAABgAAgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAEAAAABzMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP///////////////wAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//////// ////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////vOL63 Ulm5OvT8VOFJfo6w3Yahm8Zv/W5zQP0LyvvLls4JPeu641Twi0WirVsfBL1pPXDDlCPz1hy9+9sU 22IXuf/ZYqV8pXeVfx/nSfvfxO/32/+mofJ6KOsMI+fnH7x2wFkTDvU9DebYRc02DIdfevaxR7w3 TNL28Ti15FXeqZGSGY12fnl8pvQlr82m3PG5TuUBrx5fWmq15/qDDfnZ92616vJgoqzXY356orXt wlf7f4mv3rn9wbfVaT2OrjzYwnnDgHFJedEv7fxn3208NcovyXku/5tmk+vcTp4Wsyb977JvF1w+ 0EtRPvRq/N3J7tMfH35WfT2ad+Prg719pVt/4J4NHluuriq90mfqwPWLI3557ztu4L2Jn1XUXxvP XRMzwGVD88+sugtChuyqCIjVOoDDDUamJ6b6iWWaaijAcJamS5EcvTmbIaPhrEeXPLnm50CGkgyn ILp0gU2S3oTEUJZhSOjSHOtaB0hqRyuy8rCCPwUImksWkUIUie4IDVcGF0e/4z7BbuDgChBxWVwu XcLnBlSy3AT4N/1/lb6Yvrvzr7DqGe532fvZ1xXOggmpp+r/HeH987US1P/eVsccp9+uFZWOOnl5 o3TAlEz1+1JVVbPOnT0CNtr127flx/jp0d9XjT7+ZNeodY/iCpKufG+zKLLm1w05oaEVlwC0AAB4 nOx9B1xT19vwySAJYQVEQAQMQ0FkBRBwAiIoKoqI1lU1QFA0DAMialHcba1VcVVc1FFXnaitdaG2 WhX3qlpX3Xtrnfmec+5NcpPcRNL3/77f9/6+Hn7Pzb3PedZ5znPWvedejh9zvPr9RvdryCC1Rjz0 UW2NBAwchwaSJAhx6euParVag1b/m/5XpQ8AfLoOe9K/uM6FACIAawAxgA2ALYAdgD2AAxUCyBHA CaAOgDNAXQAXAFcAN4B6AO4A9QE8ADwBvAAaAEgBvAF8AHwB/AAaAjQC8AcIAGgMEAjQBCAIIBgg BCAUIAxABhAOEAEQCdAUIAogGiAGoBlAc4AWAC0BWpHYRigWIA4gHqANQAJAW4BEgCSAdgDtAZIB OgB0BOgEkALQGaALQCpAV4A0gG4A6QDdAXoAfEb78uP/3er9ZEpD+fBXBHWRiPLgV4VGGHYFZpML stK2edwfeIu4BF9NZScxaQt4OYHXC85weNj3PArHAU8qkcIincwkRlwOszy15XNGGv0JUP5cVAB2 ZKDBFut3Av24D8RtqLb6Mf1A+pxH600G72eDJf9Ev6Xlx67X9Osf6XrTxKoVnSekcYbt///1eP43 WZY41DD+jxMHIoInpmLfsO3jPr+d6lp2Tma+NEshTcnJVOUX5mcXSRNLMhVKEmZtcrKzY8iAQnAh CYPkqqKQGPSi2aahtTOAyyNj0j9NH6HFCLjGLsBt9OrExc/edBkkWTNDhJr4V50PA9x3iGobOD8O Ue0ejxN4rMT9Px4LByCqrZQgarycgKjxcTqinH2DT42BfFqX4bkEwNBZWBeq/sLO9/x+Djn3uNFY 05f+V9Jn0Oeo0BDog/A4MMRifuh/SH+C+w0cA7XhwbTlyzXn3dAw6H9zkZyMPZp+UEUwRSgHzvPM yAqg+z+BBfqxr3/X2tIWNGQSGxRkBLTMnhgoP7M91UY/jhUp55NktU6W6mcma5EEGoAVSo85ItxT zUECCO5rUKYN/D0kVv8C6AujI5xL/ydTG2KDnINtALNQK44I6o1Dom0BHB1hZonznMixDjmuJ9Q7 yLEVaYlgtIdb3WbkjIN6cuMI3VRy9CFHezhy0E+E5wLByKAN/olwLU3HdQQoIScB6l4JdZ8BcZDz P0bhjiqZFGOsOPEkB1NpcsUmcrF0DvDu4JqSHoL4HC0FyHDgpAMet4JCmA12ht/h8JtGZkdyiHmK Q2tPrTks0+HO5AAwLPOncpkeNczV9wgbr9gEr+Ul9zKw5Z9FyCAO7mH0KXLpfDmhCAJ/xJipZS/i MfMU2C+fosArvU+VxfmTFC0/SdH6ExQcWLl9qiyRnyxL5Ce1WH9ShvgTMriwBv5Uaa3NUvyuiw+E xrBTaCPaDIXYJIUXPwJGQFfE8YXFtS/8hUFnL4Wu8UepDyyZ+8Jymy3Hi98KZm8eptj6QEtQoCz0 uRkBsTCL8mQKCAEwp90w34ufDEX3MS/ClCXGwoaiQBSFOP2BLBDQbEbjPMoq8xQaGT7w68OaG0eO XvwhqDGKMKW0PzCZU6nLN1aon6dRNxb4W7OpM3SHKbXsdPrqY+HPXJlHoSaAMWuEuZKzUbEbwO4D EVqG56thIWFX6XsAL9VSxnyoWvov/r8Hz0EMPJfCO2noN9N4/mIT+LUm8KtN4NeZwM83gV9vAv+j CfxCE/gpFtpjSn4VwXsb4ReZwC80gZ9iAr/MBH6jCfxmgnc14X8PDX6Wo+Ncm7k2iD+H4L20+Ozs 3Q12N0D8nwjeU4M/TRbL7po4cdbhUxG5SUzhXTT4F7ReGm9s5y4T+K9N4Lf9h/yzheDdjfxAxZWb Eb0mnptQ+L/1y+UEAwM7PsgEPpAVX89I7xr9eFvg6Ohi4wJ2VtB4a1Y59RnlouqRqt8GJupFagJf xwS+LtKrdxujej9NRDpo8EIdXg5zRm2c4JU1B5cuBjnGSeOkErqfsSZ4R4znmMBTyRgvYdIjgvfG jx44JvB6chh4PTliRPeHAfp22hC8xMh+oUaOAR5p5EgdDfDLKLyfIZ5L4fn6dtqa0Gtjwj92Oj/r 4e1NlMue2OODFwCm5Ov5kyGfY4JeYoJeD+9gQo6DCfsdTMih/Az2hxn605HCRzqyxBv2JxveyQRe YiIOje1k0LPEs3F5GfQSE/R6eImmvAZyJLr6ZcH74Fue7PSD2PDeRuVi6GXBe5uzk6VcdY3i2VFj j4hNvtRIr1iHZy+XaXtY2qlx/DDk6+FFJuyn5Dj1Zsr5QuSMvtCUh6RCFCvZuL9UFIxK9fCkYNBW nMkdW7KspCfJ9rAK5BozcCxl4FrKwLOUgW8pg5WlDAJLGYSWMogsZbC2lEFsKYONpQy2ljLYWcpg bymDw6cYAgwYWhMyzEA//1FrGIxpYy2gjbOANt4MrWEB21jqkQRLGdpa6sJErfmGDMa0SWZoDQ1p Z6nl7S1lSLaUoYOlvumIah8GnSzwY4oFtJ0toO1iAW2qBbRdLaBNs4C2mwW06Xp1oTZbF90toO1h htYwgPCWIIsiruenGAyt6YVqH3G9LaDtYwFtXwtoP7eAtp8FtP0toB1gAa0c1T7iMiygzbSANssC WoUFtNkW0A60gHaQBbQ5ZurCsHHgrVoWNY4hFhiitIA21wLaPDO0hgXMt7SABRYYMtQCT6s+ZYgh Q5ilDDJLGcItZYiwlCHKUobmegw8AwZOqSjegKERITPFwBXRGXjBo3nwYSykRW2EqGPNC2lZGyHh EfpCDMvvb7b8XGOtPlqtJATluhAkDHw6Y//jo2rTpofqCVmABOxC1AfMCYnUF6IwYYn6/gKGkBkG QvCmZKFWSGxssQkhNfO0QoQ0bsyYMWrNcyoRA6d5jmXNwFHPseJghafDaUwwNirawKhYdqOePXtm ZBQmNjQK4wyNwjhDo4gik0b56hn1ttSEu9mM+s95yjAGGurFgJFRGmXqMo6ZGPDTlky7LY+tZMuX L/9vdLdhw8S3tLisU1S6YRqWoqleKYy6Pm0kq2uMSrFp0yajUmCcYSkwzrAUGGe6FM30SkHqUr8U 3Q0Y8EZ/vulSCFm6V2aXqymFcaQEIGZvyVrJn+63JXpCWH3MQ4ps80JcaiOkppN5IR61KY5h528o pHHtfGJlVohj7XxiXohr7XxiXohn7XxiXkhg7XwiMCvEqXY+MS/ErXY+MS/Eq3Y+MS+kSe18IjQr pE7tfGJeSL3a+cS8kAa184l5IUG184nIrBDn2vnEvBD32vnEvBBp7XxiXkhw7XxibVZI3dr5xLyQ +rXziXkh3rXzCVPITG4dGCTsYakT1lAaLD2Yly0vzCmUlYu6oHKGbA7fS20Py6EwmMBIwW1SdJBs WJejQlhNF5KVFQ/MtkVCviL7z1tP1Vb4nJQDqRti7ViTo5GmcGNNPmY1hes0WSmyn/15kV2Tk5Gm CGNNjcxqitBpEiiy7z+9zK6pjpGmSGNNgWY1Reo0CRXZN648YNfkbKSpqbGmELOamuo0iRTZFx49 Z9dU10hTlLGmcLOaonSarBXZH+6eZ9fkgjVFfiL2GoCmyFrFXk2nn2tusGtyNdLEEnu+ZjUxY6+m 062ff2LX5GakiSX2/M1qYsZeTac/buxg11TPSBNL7DUxq4kZezWdaqovsGtyN9LEEnuhZjUxY6+m 00+X77Brqm+kiSX2IsxqYsZeTaf3Zzaza/LAmqI+EXtS0BRVq9gLj5hddY7ShKiXZbSaPI00scSe n1lNzNgLj7gwZxa7Ji8jTSyxF2BWEzP2wiN+PTefXVMDI00ssRdkVhMz9sIjNlYeYNckNdLEEnth ZjUxYy88ovzIn+yavI00scRepFlNzNgLj3i7exqbJjHywYuUNsMUefJyUSt9BRx3YGmDhpH3xORa cVZq6iaVFX2O72TR4mxhOAcNCdeUmcOU+eWiEfoCuS5qIUpA15CSvICmJLd8hVqh+AaIRii+IUGE CsATGIFXwBwgZl6J9K6s9a5mct2RH54SJSiUWXL8OmZmfm6BKj9DnpnzPK9cNNvANFd1XTBNAUZl QYGkcFTAMZN+V1oFvxmAzwTXPid3tXVm47sbRq7VmI1vVQi0ZlNXIr0ra72rmVxnqE8HjdnFOXng SXkWVE43A4Pd1A56BheDaXm0X+UEhyvMyJ8aU/CNHazOETXCexsS8zLlGYqR8qx8KfQ9Kfq6eBK1 LXldPhOkZoDOkURDPmiVabUIYarXILlUp0UIS+guY3eCb7AWfwMt0EZjDbTUMakFt0+usZaZXDsU gBcKul4zwaCNeKpFZnpKjYFG7cIOVvg6ueHGcr2N5DL7RYSqU1PY5QYy5EYYy21oJJfZCyI0f3sv drlNGHIjjeU2NpLL7PMQKstawi43iCG3qbHcYCO5zB4OoY4/7meXG8yQG2UsV2Ykl9mfIfR6ThKb XFtYSwhxnBWpSKMx7ICcoQPSfPdB00h0LRnfq9Y0GHxD+7/YATmgULwxKTkvM1+lUmQWQYfYzqCH ra8WkzduM8kbtyoI+kywLV+vr8X38jVW4Rv+dFH5KKyMpy4XNdIXacUDz6WAx5SkH1CRV/Zwwhyy MgFwhBhwCKDdGXJIUR8YWT7XcoaX8YHTx4CTD11ICnlBWEE7k6KOKBMCdaABtRAKy6TW12ELEQlV 11kxDOpOWQ5rSn1XeUDV4RcPh9GVp9R30v0FOicpkM5JqAyBKREGwhAY3ln7ljMWRXcv+lMzMUQz NObO+UXywnJRlkEwiUFjZ/IxETnxsZXOGnWNWhM3+DavLm6oK5HelbXeFTY6qsyKxX9W4L9UYnQm /eq2HA2mPyUyk2uDovG9tW5yZQ6O/OEGxtYFg7rR78IZxj1z4MXDkNEIxtEbwTh6IxhHbwTD9tdD Mfj+TLqipIh8B0GeVaxQFSnyMnPkRpMYro3aGaVDIUpI3GvGXdw2i+FMBVgFaR85xGaudkBT62rJ BTXD91IpfYqSAmVOprwopxiaW7KBsqZqRz1l+KyAuASPOfhl92L6MbRGDW7LtBob1Bw7OP1hEZnb GIQUzwEcnI4eghTNzMZ4xOLgnq8F7vkoKVIYWRIN5DhC+2XKkdIji4kxVh27YvdlMsbaoZYMyRHG kp2MJEeYk0wtI7gIN4NWuBmkQzNQGk8O6oH2dLoZ4JbEN25JAsZ0gIolzZUAfSvqCaATOB3hO+O4 nvAsAH8qpxuIHkHOUkjPkUM+WBAObYGqryITFM3QAPKa+0QkQTbtcYWINJ/nkE1Edug5+fqMFWqf P1hOEJum6xDhGNG8XIeIqBC5oQpmyRm/S0USAKSXvgFP+MDfOg4fv8nPd4Xa4RB6DtrDEQFQdPeh EcOE70kGuRI8wc9bOLbUAxU+Qtr7cPTrueRcg4tANk/wLfPdIFuExnLiERJVc+LgGIe8nkoQ2YYq AmEiV4DXCEneo0zBRERtJoNxNF45LDcvv1AqBSnSxMKiHAidApV8YO61InCTgw4pz8RNSuoGgytB FJKWXaBS5GXljJQPVkil0ASlJERIDiXXTkNO80u01ypFtlJRAih7LapI8VwFSh21CJ0hAo1sfJKi yMqROyERR2ucVlilI9SWhJlFC610gAxPrWQD22kiHmaURVVyoZ27mCooWBBPygLeS9PoFeLuh8iA AT9Va7Y1tnbYCGkb+WA5thz/SgkyP0uBZyh8XANFcg0dPoeK6pxTrFAqiGLQm61Qkb6zEIjDgqMq 4Sc6OKYSGmSzYFl4JciVRQTLIslJ0+DwMJwTFiwLIwhZsCyCnEQGy6LJSUywrFklD99VoyQ1w9hK GXBE0HRNCV1UMEURptVFJIcHRQc1gypqGhQVFBMkCwuShQfJIoJkTSGAZEGRQTJZkAyOUQQfbQMh CshmhCSyLiYJB8ZozCojJEAYLcTisKimAkqwrKkLJS0Gs1KElNBofD8wKAIkYHoQGiXElCRXTGUR ddG2WFK0xsCmcBlFK8XGQlPVVIGHqaCgI95Uti7oTJLo4hc6WmmaPG8gFU0Fw/KKhsE6ND8PKrkg XyXNY69wZxxL2ktpLh1JEn00RhlQaspmQInDy5CSjrpwk1FHDGQ0hXhdAYuhVBYkcwrkmn6oUDHw bZ6+h/IzYPIAk5pCqSJPmtA+PjHe1WQv5MrshKSKwqJh0FfkFYEUaGOawkqt6LZI40izbE0PcJiR yWe6+NIRUoYrC710naUhIdVhNGDGCTNb2414mqKgOxdWCZCt63HEONA04nz13MSUhw3PylHiRUlh Qx2VIVmAtIdcRfwgjW9sSyJHwyUVavpB3PEn5OcWKBW5irwioIdMmRr1hgHJNp56cWIJ/C6B3/g2 ADBuzYbf2fB7H37vw29IAgCMbYvgdxH8OrYFwGNcIjUG1ksCgEpr3g4A+ohMkQuAbqh1QZoXZebA QDyHkdPmJgd9A7hvDAZu/MII9Skgqd6ngFJhkE8FWnt7Pvz2Fsnhb7BoiGih6AeR5nOP48kwPIEc G0Eps0m6FevPOA/QvnF1J7Yx4/x7sg2MmgRw6LcSI0g6Fav5xcM6fm1xAaztFhhMKpipZYTmjPoo 0AOYETkg7hM81ZEi0RMRXVas3gHxnoQh/MunJhjI+omERSYXiQkf5sGP+zkSMu2Q6GjDPgzknPxg x4kAVCX5RBEHZUk0ujgoXELVBM4XSmxRWVkZwisivFVBDHI032zC1NYwX0uD6UmaCGk/aqa5FtI7 NZdBjSwz8ELyoYjR+Lcb0HYTUc/PcYoEnTzQySO+5VNTJMB1xfbR062ukjoITwuXIRu8m9ATXCWE P4ymPoumRQvgD3PyaE4BnGs+OIWl9ie+wWXMzp5HlyiKlFGXOFDCFGRDKK0lOILKaMB1JCW7m20l uLY15bY18IM97T0WP3iu6lv3KT5ZJPIC0GWIybEO2O9Ddp/pPGXP8FQisUqTY8vIaQt1iJ/1+wEF FzWUSME1lBOuv1arN73WfXYLbyJ6Ekv5o4sEb1biIsPUCKT46NWBpmyYGstaDm1rOcP+PU6Ly5lW a2Ri27BNPLM2bfxHNmHZSaQm4iV4St0AwvgiMPaC4LpsrS/NC/LOQZ4C8i5BnifhMEyYQyoR0W2d gzJoKg7SLR7ytb7QJM215o3lHnDdQ4T3wXPRhq8Q8pJ4wRmPw/7lMzFdNj/krY1OTQvkQwv0JiU0 bJfGsbW4fNjdM3inhlEeh5G3XNSCw6y3Tn9fPuYPRWsZW5KrlMKqvxBG8FY+spAwHxi7M/OzcvIG tvLpnp4UHOMjLSyS52XJlTDEt/IZoSj0iW1tJ24pb15UkqqSAnteYXN5K59BRUUFzUNDCzMHKXLl hSH5BYo8yMvOV+XKi+BSNTA0SyUfDmJzlaHhYWFRobnynDyf1iAnIz9rRKoqFJ8qC4u6FY1QKshF ATmkqvBPliI7DbRlgImEpzBfmZOVlKNUkgvVwIwEpUpaLFe28klKCoPkAxJC9chCNULIKS0Wxs9U uUqORSvluMSKwuDEbjRzATniUrZmb7Z8qN4QGrNIFKBH4UxT8FFXEkL8jmnaUNI0Fk3g4IDGgclB hgkHZgNJIGsAsaUGHBx0PG1HqJ+kZHijGpQlQccMdCzYOAgvHzMdhLo8w84j2O+IXufB9EdTAGqA 4mkHKJzwN33xbVNzA5SQ9qSxnUfK8z7/kcfUyRyQnCXOrF7F+ltLqEHKRyLW4h0Il0aSJmHcClFb AKYXcPLin+MqhLgbqm1idp7thdQLD48QIvds8LvYYqTf3b0Hl3T9qFbjrZN4vyGua1+9ztNfIqD9 rOvarcj1QlFLAJ3uHzmU5bTtyj0uyj2Tdg/oFbZwxYvju41tXS76oFe7t4bVX3UX/e/sYkL/SSfB NgYyK3AgrLFnW5mvQLz5r5u6NhXI0atADksFdiTtQ1OB/TZY9dlgtSZ2ZX/Xfn/It/9bgZZXYCq0 wAH25isQp2McavOy+Qrk6lUgl6UCj+q1QE1K+C3a7lr4ydh/K9DiCnQFv08Wma/AWdBq8JLl0xXI 06tAHksF3tdrgaNP+pee9D+ye+ssn7Zup6v+rUDLK9BwAeFML9g/tYBgr0C1mlmB1PLm3wowqgBT 0zb2STHuyvBb2fjDHRppdgxpiEutbKlJCK4RBVm78rmJNJUX4uD/+VBIHvNRj780TxvjyQ4f/JwR PzoaST9WxfhM7UNBPrcdXdENEEdfjHkh+IOc2eTZVIlWVALtCU/LROFHl8/Jd0wzaYt4llhECUkl T88Holx0jXBgUQoyQedxNXcHQkcfW+zjFhiHMVShOx39Ke2VbwjBULavO/+taxtrioYyoya39V/T AwPjFGSF3porRjyBBr9IFKhXqy7kiBtIMZko4j0HwVA93RAVA1I9aluamo8XITRukcjHmUlj70zR CFEEcsL3Kjvy+M5IQJqyN2o807obXr4Ecan3Kfok5OcVKfKK+qePKFAUfh4CreXHGYc77wuTJL5u /3580z6zYhRjJYNPWk3znJb4pmxGRHJQ+UbF9u7vXnc62bbNSqmLMuh84e3LEddf3gp7MbiLd+8D DX98xnXeOHTLza0TXj/sVmwT2OiG+6gD6Xtn+ChXH57y8tWdxoF3b/VsM7d896nmFd8Kvtn2/Ne0 nL5uYQebbr6w9E31nBfDuv456HqM44qgqV6paxus3PP54tPX4xd18Rv7VnTvo59HVYe4x6OGhFmv ulz4Ibjh/DqquwsiN1a17mctuFNlnXnzdtm2x9171FGm3LNLGLknPqyo3Pvu/TffBC2d+H74gYjf 1+X8+P2FeZek93/3v35eyVHXqfbp/cFhb8ZPYXfurl/ThXRbPAOfLT+74nY1nEVxqO/l9FcplIWh Ifg4YdqxwfvCbCc/nrhz/InSrif3uTUsDl0+PSF0aSm6FjBmkE/9i/XvX+xyQCDeLpqw7PHrVa0+ rpvy5tqs21KXitWCfX8lxB4edK241e4x4w5OXLaioahPScGkpaMubum/I/XE0pZHZPWXt98aNtvJ 4cvzXXakrWuTdeKg5GSHxIuRGX5jVswY2v9cg+8W1bsa1enUS5e0c9ED1k1beVBdtS+sZlGXPWPW B91M5OdFz+qUcyPj+5Wh17vtnL5Ssfq01/EtP785+4HDVtAhI+a4jIezrxE1QBdBL6oIZRxT5Hny gQoVjhLbmhTxPqkk7lrp98Onn4/O3B6QmLHp8Lrtr1DCAvf4A5UnF188d/P6+OijV5zPzO9o1yto gdDua8WRkC9/evJF0Ir6Ky+09/gtSHntQN1bd0vcDm6eWudK8u+FXUt9z0yfuHbLJenZLU3OeD8O utRvm9/gVlPafXbn1OvGfyXeb9JIzI1hN95XaeVfhvcl1KfeWTIyvgsMMKqcLIUMm/+gV0p+/US3 Xb5PGySNys/0L3ZvN2z1Hxvrtz+VtLHP6eslw3e0OPLg6ODsBaejT3vNmC6xGlrpFG0vWnm6Q99D 662d42e8dS0ZmD18Z531ySeTUuNL2++oOrbjyuOIBrtGPhxdc9zbsfzZsodnQs+1bOu0WBhpffHy Q7n6ZMXkZXuTy+p1aX9xvtPdzy+WqHeuKfk80a/RTwPWVXLipf4z7v/8MLHD8vsdO56cfK5nv1uN k69e+m6KW5MS52tp0ieOv087f1K1dusvzpkVJfWlxwdmVA50nHXVreiS+7RVXWrWXK1c56gK3N6p MqHmgteXor9PTP/zM6+MnoElJ14NvnU9OLfv53vvn/f7waUm+Mj9+V2iQudLPILqL/TxqNvh/oek +4d6eF9B31UceDlyZ976fr9HoAfv/A4qGx9Wvjh3b2HfbOus3UcPPzpbsWXSlNCD/edVbTtzt6hi bY1Lk9NlD87t9xi9duuFP/oWPxFkPT3S7IulVecfrmtewtv095lmX6g7DNly7S+7gIzIZt8l3J/w 6t28F9zwW8rtTrsET7b0Fiz+vtL963snA/e37DplcPD+1z/f4cXx6vWIjB9cUS579X2j7TFe1l9v 4e7oXHB3quezm39OPztxWeig1RcuT27ceYfTjTPPH/dvNebrbxu0bDH6yamn+yYfcBi9edyCXhdj rA9X9Rv97vziabFJY1p+uHVzaejqp5u+Ub+c3GX0mzfPB0s3H6vZ6dq/9ZuH52e69i99+274tMCr 87nTDj3xnvpV2+iDjhduy2Kyl/zVu3PSX19ETHL84Wa9+ckBQ8dtmSN+06puszvzu9VsehBTXPRl /T0tuHeWiktKVcdkJZKvvlpSt2L4kj84j1RHm/dNT5K3ux84cURM8t7BNzPS9j/M/KLn8u1T6vjv 3pks3jFv7vLrJdE+384bZesvnuznLb47/H3ZdPHjR2n3fh029+24jq173AlJ9OzUJCF8me+KiuyZ W3NsR8zr8cb2TXFG1SjhsJg1z0ZO8fil/R1xTeA3DZxuTXjafFGAx2dfefz13WzeaN6alYd+35P+ t6Jvl8Dfi9q7tdtZ1r5X09tz0JiOyVf2VPecnXNFceqPRHGiw+qsy9UL5s7o876y/rWYtXvtBznN 3tjgd15A129e/bx63GPVTwkvIm5w/G1OlU528r+0ompPrnvzRkfEbXfP+/Lrvv38/1x1Zc+sqTJZ Om/Zo4JhnWbu9s1LGrtt7aQpvnmVh1z7x67b8C53+YOUnjtXj8x+x+8aunfhstshrpzSd+dH2HQp b8W1k+1uu9P39vAbDz7cPjiia2z/lg2P9XQT9X6c+CDponL79YnbH8kUysofvvlzevb1YPlD67dh K2/P2+fXuLM8h99/mP94rtBVrLwl3XOmXXrieNGKDTnrR/VuHxBx4vu2jecW9IzcN3tTU6+oj4e8 ms5/K8mYl5Cx5TCvxY4lk59XJXnv71m3w5oTgb1PcI+uVt7s0Mj5i1GeimG5p+dtOTM1Z5KzZ+7E w81/vZVq7x3ad/wen4oNq+I31B0XsH7v0H5rJu2zz/Y7PvSnZodOZWSoZjQud5y0Rljoefz06GO3 V+aVzzp3aIHvBYf5vqUFLRsObpgbHPzKbvPChsmKYVOt7j17sDN5zjPxIoX1soXKdnNmzZ/Z8M7K h1sqDqc4vInJHZUZ47/vXMzEHzvunPZr0IR3fv2t+7xaEVUVMnXTvm2ZeXVOX7u3b3/pUflkYZr3 GZc5M4Ltngc24cwZlHL2481GE14u8Vg5YGlVr42bBL89Wd+LM7SoW8f9mX+tUW3q6Nu8+JVsaVrr rm1tl1wVTf2j7YPM9rtDuj/xr3Ra18LW947w5/mnTkSt76s6WrHuC9/sgmKPqsi99S7dcznS4vxe O++6Ud+tKB9xtc/yh/u3Pd+e0fvjuL6N5z5V19Tduaj64b4OlRFX9yWur24/vMPF620SPXoGTF15 xXXD0LA/OWe4r7c/cf9a/KjyyJh4+5djLhb2mJQzJKbt6lJ3n3h5q7QZ0iyHQQfTrzTee+/8BUXi pk7TV60s3xa+JXva797yhCNj14zMfZ3KX573h99SzvgWvcY8KjwbvzQ1X3Xow62wXhtfXfD6e8Xw 1lvn7Wk8d/KRSY2mjZFnbGz13drVxbvmLVq/U9HuxZTzUWtmDJ+43Xnzpq1jUuoc3Xa69/6K5yXb 5tUX9lrw2k0wxa6reHj79uqxL6eJF5/vH/ZiXPMb76rXikY8vkpMHnU27JbH49kZEScnBCX49W9e 2r7OrbQf4hMjG8RM/2XV/T6KccduFM6e63k8atrp6ysO/3W3564ujb7yGF8SYxcSZOe2tEpQKOsu vPKhMn3guKCDwya1q/9m9aCyt7M3FH0ULCjMvxl5sNhv63fPmnROTJi3cUf/QXER+a+fqZtOuf1r 9zujhrRfl/xTo+sf+6SsnavEd/GNO2sf+eH31XDmSToaEZfRtfzbQP5NOCmP7cG3BQRX3w14PKCo /6xHqfu/PHWxcsO+gEu8Qd/+9d1vczbWDLq8q3VIZrvk94uXXSuasubNtSXx5RMTzo2/diNLfLDP 3zt2tdpZdqJDzpLuTn3+6HktsnVrW9d+q7ZOD/Fek9Mhzabj2jd1u17aO2PzzJpVKdmNZwxuMuVA p0fzW14vvNJg4/uoAX/Ou9WyV8Dtu+jWLze3vpnmOb7JkvBzR5Pbzrt99WO3E8Hp91qMUl088FnV ypJ1LsUP13lax9j/PGrwDh5bwJ86stj9OJy15lDfasnE/6uxk2KgPHNEagYeF1oeS8mDeYjV1dLl l/dUlA51kq72sW3x6w8Z3ewHKG+3G7p/Ri5nZ6s6J+Q3b+cvSqq4dE02YmihzI5Td9Ya7oSEOg/K Fo47/Pjp/fptD7mvfcVZOC527tUN6vd/zNv/999Lbz8PFl8Yu0omfrvgdtKhrJHRdzeLqxIqtnh3 bn4quvhkUumKSzPndu96+uSL5tmSc+vSrxZa+8QGnJ9xcssalzUuS7PadbjgNnmeu3rsxFuhI4af DRrySNkzKqjPnOCOR9LG3/lQ5rtwc0vphatdQq/yVfgfIrPNTfSHRsNUi7mJfpfBTI15Zucmhq7X JXcBS0Voxnt8d3Ab/NbTPH9n7POT6O3zsyM77GzhmIX3zCH8kX3cfUnAgPernp5MyUiN7U/wgQTf hBzHEUwZ0t12bIhfMUJBnLGQs4f/n9ghmIIuW9LkTCQOHwnwP9zihZK9fqjCJlKUBWcOqCcXl6En F++RiydvAf6nEvOFCM2LCmz/ohHvgbRGWfSuKC7Y0pNruAfSkt2P3fGuRVRK7hLzkJ+1A8Hia7xR Bl9z6Ws8H/Sz1V3jHX7JHg7km0Sl5G1CIfKrq7vGL1VcdNJdW8MfM18MccTUZw9/W5FOvgP8bXXT XUvwd7CcdfwQ2hwNv+YJhjfC81Yc9CKuhD4PolzLcSA4DguOR3Ad9HB8FpwVC07AghOy4EQsOGsW nJgFZ8OCs2XB2bHg7FlwDiw4XDqxAc6RBefEgqvDgnNmwdVlwbmw4FxZcG4Ep19vniw4LxZcAwPc LtKzWZEIE6Cd5LtZQvJFeFkcPvaKEwENfspiTWiYfxLCzdFyj+biK4obxQlg2YXf8OuAvpyMk38c FZ6OqC0QVbfFbxhZwVFYLcAKOCYUuJOQNMzBf/boA6jnwVlr8jCHupKgRPLwDl/hwO1IlFJXArji aq+EcGWjvRLBla32yhqusI92IRz+YiOtfDiLJQ+ccKH5QNWGFHonCQor8pnvJ7Fd4dgIHPGBhLIQ pZNtsxSNiHzeOyAOH/3irIkrrWhNNkSqFWn4nIxNcVSeHUM/9kgcaf4UpYR8sl4K+v1IM+xErMEf PA+Mw5/lDiHnjegjpU2gp01AaXv7QxyVx9QmINqEtDYBrc2ZaBPS2kREthtDZ5CeNqGeNiGlbUB5 HJXH1IYDKJ4MZBSlhHxdHxFtIlqbhMj2Y5TKj+gMoLWJ9LSJ9LSJ9LSJ4CyJfBBLgHzhSkI+oY9I A6B+7VBDHCySakl1PQmuPj/SW3UiLkghzsWqI8m5jBzDiBn436kwQ4cKacwvpvndaH6KB0sJJ+dB NL/YBL8Nze9BU3fXag5i6BcDncYNuHA2xA3T974M6KvuqSscjjrbaltSuF3gFRvaPzp1trQ6KUMR M6I05tqaMNeO5vdhmBhAH7uTeKH47Uzw29P8fgx3RxgVF39Nip3fgebXxL+uRQTq2e9ggl9C8wcw qkjGKL8M+DGdI01HxX+YngbKcorOiaYLomOWGcUpxE8UXR2ajrI1gnEMp0OOonOm6cIY5Qtj6NXI w4NOGrG3G9Hbg9BR5920bZUaiDqRFw7wH4VzNcDhtoMHos5kAMHh5QbHLtpH/ozwqosE1YLqNpxY DkUmBDLNPgA9MmG1kEEmAjLN5gA9MlG1iEFmDWSaHQN6ZNbV1oTs/7R3dbFRVFH4zP7Mbne7fy1t 94+2QFtKu2C7FcQfYDVVGkT8iVGgRYokUkUKojFq/MHw4INPVhJD4oMxPqHhwQc0PJSKJiYYfUMe 8MUEEh986KsxiOece+bOzO5sgWVFfnZvup3vzpk753z3zt07d86Za/hM/nlMsM6LUcsxXsTChByi EG67dQ7CKJoyN8vCYW4GTUCFdOpCOrmQTVJIJxfitogLCXEhna5CunQhXVzIo1JIFxfitpcLCXMh XbqQc3Af/NJEo7r1sAu3X8f7iGlMH2AXXYL9/E2p35FogcBj+MP4MI8Buvn2yB4DkDLdrMxmUaab lXGzyso0zZ1DgQc54084AxQmdBr4dofDfXi4HlBhQsfgGsKEAipMiOTJi3imWeVTWdTAdkN0fi1u vgcB46JhRSlvQRZOGTRgO/Q93TKd8lOJw6j+RjgIv8ML4pZCn+S8CppIwGW8Tk8iId3GMn5zY2qe 8nfgdhtfmXgLVyrX8/8K8VIhHpRKVW5vKMTLf10hXkPOEK/mGkK8mquFeMHclAFz8UaI160T4pWr JcSL3vVZGeL1K1bfj5dvrhCvcp3qE+L1N/Y7X+GBR7FxFSPu0i7hvuO47wjuK0RuYIjXa40Qrzsm xGv/+IUrh3hBI8TrTg/xuuQ/7jsSKtgFXPHj7DxHQ2r9MopPMKvEJ1CI1846hXh97gow6WiEeF1v fMLhKMBHwYUrkEK8ttYpxKvkCjAZlxCvzxohXrVWIL1W/3B84QqkD96h1CXE6zvXFWh97m+EeNVa gTRSfD+8cAV+jFfNW1CfEK8/XFfgOxLi9U0jxKvWCiy/gWiEeN28IV5wbSFeKnhJBR1dfZiRAT+9 eXVhRmmXTEBkLL3X+1r4kW8YSiJBNn4YTuKfszGdmVlMMzQdbJKBHQRuxY5iQT1Ne8IdsMchjObQ Y3P/6K3ovqBecFQwrBcckTHls1/T62p7uF/5sNz+qHqgT8mRW1kPPuB6UMD6fbwN66HhRlJfN5KZ drcbyYmk241kX8LtRnK+3e1GciLhdiOBVqcbSdR1PkozS+z9MXIzido4ju3LKU+vSz0fsfe3YOtx 7m/H5NSHOh9neWlMM802zmDqSds4i8mpf45mDh3656HHdb5eTOcdbi59mPY58HLod8mvoPXUHPoP YHLuH8Tk1LcAQ679w5h6Yvb+Ir0yN2PXz0hZz0EtipY8C/ALcJVLDW273TV8Hnl+j7yAR17QI8/0 yAt55IU98iIeeVGPvGbO21bmUlMpF/fIS3jkpdnfArqdeRmPvKxHXs4jL1+WNwtjzL2Xn8i1pR5+ HGZgy5sGejoyiycxsN1NO5L7iCI7yPg8zh7lsnzI5jQvODsLa4DWYqxW0sI6+VCnXex5oVAfolGN lsPz/JZDhfphN987KLQC992j0QDue0SjQez5NrJuNHgtVNimvGoCsJ9nBmZ5xa0gIivZdvrRznFI gOWJE0O0SKM4ojaNEojawfbZGdfa+rEPGueV98gXwY99kKVLm+xvR94e4v1LEXUsyGaPHNOLI7Yk kPPGAKI+XrR7UYm+8/wdLtk5aknv+Q2D/Nzb7+JkSMobhldgCzU9n0krkCFSXkEBbDMWA+R9NKYZ CPAD1jawvY/GNAPkfTSmGSDvozFhIKK9j6KyjzheqyVjMMHPMBWKI8pplECU1yiJaLFGKUSdwnGg guMAarbDYUcHPOewI43ItiODyLYji8i2I4dI2UHXf75q/QS4flJSPwGpn25Hbaj6WeqqpUHxzqqs nwDWz4tc3woVET0mKMh1lJS2TL/Az+pk8xxknu/VxxDPXRrFeVVWCxHPSzQinpdqRDwvE56DFTwH kblx1kV5cXWgNNlKrSqInE2IVAa3CrrMLKIBjXKIBoXj4AIcB5njFuE4KByDo/WnHRwr1hXHxJJ3 v2Aylynh0mQut2Jyc2kylzHR2HS1WZO57NGIuOzViLjs04i4XC5cmhVcmsxlSq5Jk7lU+cTjSl0K cblKI+LyLi4zy44PE1X5M1GvPey9TvyZqNcU8zfFLbL8O8zfFn9mFf5CzF+L8Beq0hbJV24nL5N+ SXzlJnktXYXiiFZolEDUrVESUZ9GKUQWf6EK/kLMX4v0OiHmbwK5U/uItWFdErFW1IhYG+LjaOEN rxa4UCqKFx4x0cql9LOXn5sJr9QmR7YjO61S72HUe1Ly07g1IlqG0YJJvrtQKItojUY5RKvFgnAN Fszi8ZG6jD6qJdWvRbAODsDjYmsEz3yAzx29AeeO4rlf5sc/ChURPSWIRovbdD9G9zXbdT9GdzXb RSqEWwV9TBjRgEZNiFQ/9rSHH2Et6aUKG2iEv1f/LtD4fi/3GIRibIPVf8TYBpVP+q/UUmTDKo3I BtV/PIOIbPgvuI+x3rampHeLoDjrbV23cdZ7O5iyj7Qd1pKkbVEj0nZIGK/0nKyP5nHW3NaVNG8V lGDNrSs3oRlPMOMjWopsuFsjsmGNRmTDarGh0nuzPjYk0IZ9Dq2LiJ4UROOag+wPZ/lDjsEDch2k ecRHvwhkX4YlSSrDUutEKiNSSZbKaqksS60XqaxIzW8gqZyWyrHUBpHKiRRwWXktlWepkkjltdQ5 vP6+jgNMGe/Cb9BvfGFsNkpGxDgNb8Mh+AG+hZP4PcD33X16ZqxXz4xRKZUzY5vUzFiEG56hCCyq mbGL+DMWQmLyPFT282A+x9MuvXjx+/lGo0k6uiJj+u/jW6gUXGFe7cZ+/rkMYPoqJ/t5tunsz2c/ XZVLfvxJGAYLfx0fwrx5UEtR037ijUbJT4AKZ9sKamH7SVDxcTR2oDH1AVAz12+AmlP+EtRM1oUA yMxjQofDVfvfmVRzzTSnwQvU6K2i3hph/3drSRtolkPoBiElIvzm/91qPUY+t18EHEe+ai/1fPt/ /gWTCDj1 Alternativa didáctica para la dinámica semipresencial de los estilos de aprendizaje en la asignatura Fitotecnia GeneralDidactic alternative for the blended dynamics of the learning styles in the General Plant Technology subjectAriel López - DuanyYamilka Milanés- ÁvilaMisael Leyva - RíosCentro Universitario Municipal San Luis, Santiago de CubaCorreo(s) electrónico(s):dlopez@uo.edu.cuyamilka@uo.edu.cu leyva@uo.edu.cuRecibido: 8 de marzo de 2018Aceptado: 5 de octubre de 2018Resumen: El proceso de enseñanza en la asignatura Fitotecnia General no considera la diversidad cognitiva existente en el tercer año de la carrera Ingeniería en Procesos Agroindustriales del Centro Universitario Municipal San Luis, lo que limita la apropiación de contenidos profesionales por los alumnos. Se propone una alternativa didáctica centrada en las tareas docentes para la dinámica semipresencial de los estilos de aprendizaje. Se emplearon los métodos análisis-síntesis, revisión documental, histórico-lógico, sistémico - estructural y estadístico. Palabras clave: Estilos de aprendizaje; Tareas docentes; Clase encuentro; Dinámica semipresencialEduSolVol. 19. Núm.67ISSN: 1729-8091Publicada en línea: abril de 2019 (http://edusol.cug.co.cu)iVBORw0KGgoAAAANSUhEUgAAAboAAACOCAYAAABHa82KAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAAAlwSFlz AAAh1QAAIdUBBJy0nQAAQr9JREFUeF7tfQmYXEXVdieZnpksoIBASHqSsGg0CuqHy4eKfKgooiDw IyibIPALIhi2DwRlEdmVRWRHUDYBk8lkAREEBGRHCWHf9zUQErbsk+99q6t7qm/Xvbfq9r29zZnn 6ad7uuvW8tby1jl1zqnc9Hz+6OtyuVVz8heKwFW53PBp+fwxN+dyowQmQUAQEAQEgRZDoC+ffwKL +Mt9nZ3brMjlhrRY9TOv7syOjo2Bz8PAZ/G1udzKmRcoBQgCgoAgIAikiwCJDov4Crz6saBPndLd PT7dElozN5Da6sDkQryWaXyE6FqzK6XWgoAgMNgRMIiOZLdiWmfnO72dnb+gum4wYnNfLpfv7ej4 GXCYqwlO4SIS3WAcDdJmQUAQaAsEgkRXWtwh3T2N1w6DRZ3JdqLtW2k1ZYnczHeR6NpixEsjBAFB YNAhEEZ0hjRzz/Surs3blfDYrmldXV9He28PSHBBshOiG3SzQxosCAgCbYGAA9GVFnwSwXeuzuWG tUPD2Q6oJ7fA67YYghPVZTt0uLRBEBAEBi8CHkRXOsN7AM/sPiOXG9GKqP09lxsJ9eSeILgHHAlO iK4VO1rqLAgIAoJACQFfojPO8N7As6fAcOUTrYAmyG393nz+NLwHjUxs53FyRtcKnSp1FAQEAUHA BYGkRGdIQ8vx+U6cc+3XN3z4GJcy65WGrhKQ3A5C/e7De7+nBCdndPXqKClHEBAEBIEsEQABHErT +RpJoKTWJOndTvcEEOhnEUmkI8u6B/PGuVtnX0fHF1GHo9Cue1MgtxLZLUde59e7PfXETsoSBAQB QaCtESApUepJg+wCebyOvKfhu0NmDhv2PzNGjfpIWtabyGforBEjRkOS/BaI9Zco5xqQ0bzU25DP PwWr083aegBI4wQBQUAQGAwI0FEaRHEwiGJB6mRRdLimM/pSENILeP2DEhK++yVibe4BovrejI6O TSCNfY5nafjuk3htgO8+39fVtSl+33ZaR8dP8NvReO4ivG5BHq/gnRKk6xmbb7qFKO94Gq8Mhv6X NgoCgoAgMGgQmNbd3QPyuDJFtZ8vwTQ+PaTDVjGyGTQDUxoqCAgCgkDaCECC2hiEd3eGElPjCa1a GpxNVSiwlODWaQ8oyU8QEAQEgWZE4Cicg8Ekf/uIsFjNSFb+dcrnH4cqdKd2cYZvxrEkdRIEBAFB oKkRoLUhiQDqzAfbScJDex5Cu3bl+WRTd4BUThAQBAQBQaA+CCjCQ+BjkMPNeM/SEMRfKnM3SlkO CfUmtgMSa13dH+rTS1KKICAICAKCQBoIDJmZz38aEtE5IIy3W0TKewsEdyatOuUMLo0hIHkIAoKA IDBIENCxI3fUfmypOJ6nSJwf0I9vemfn9wfr/XqDZBhKMwUBQUAQCEeAztBpOXGDTFaF/9vOIKqr aogpWYvakrekv4ryL6ERDW4JXzmtvsdlrJtAddudVn6SjyAgCAgCgkCdEAAxPIlX39ThwwtpFkkD j6l0+O7sPBBS1RSU8Rw+L0tRWqMD+hLG6sT7FSDsn9HJPG3LyWm53IdR53NRxsJLUyTONLGWvAQB QUAQEAQiECDR6agl8xCZZO+0iaJUNKXGqSNHroEyvgpy2gukdALKvRwEcpOy5mTElM7ON/SZ33y8 M5wXQ4g9h99no543wIn7Ejx3LD7vBglrI0qQWXUu64uytkf5L2pyXixElxXakq8gIAgIAhkiUCK6 kqQFUrmLobcyLDIs6yEkWUqCDM6s3xtyyStDkAGX6wPS5+K+XG6lBuAiRQoCgoAgIAjUggAW9Kcs 6kSqGC9OW51ZSz3r8aySOPP5s5RKtNpdQYiuHp0gZQgCgoAgkDYCWNhtRFcyCHmPgY17c7nV0i63 mfLjOZwOGB0V0FqIrpk6TeoiCAgCgoArAjFEV7p1YB6JYEYu9xHXfFshHQkcktuReL3pYCQjRNcK nSp1FAQEAUEgiIAL0RkkMB+EdyosHNduZSRndXWtg3O436FdNHpxdWcQomvlTpe6CwKCwOBFAMT1 tMdiX5LwluC5Xu2DN7QV0KOhC6w2vw1i70N7bWdwcYQnRNcKHS11FAQEAUHAItF5E51JjCC8Z/A6 Bt9NTMvxPK1eYn0QquxTPGcEwT3vS+hBq0s4jI9Kq26SjyAgCAgCgkCdEAAB1ER0hltCv/Z3OxrE siEDQNepCRXF0DUBd+l9Ce06LuXrhRYjbyG6RnSqlCkIeCDQ09Nz9Pienj+MKxROGz9mzEYej7ZE 0vFjx/4P2nY624jXL1Dppr0/E3X99vhC4Qxd18kNA5gSWY2Sjl3ll8+/AuL7y/SOjn1QxmeyCp91 SS43kn5/KGsy1al4n5tJezo7G0J0HCjjenqm4XUNBsxV66yzzofSGCyYKMchv5l4zcAgPDyNPLPI A/X8Gdrey/bjcx/qe1AW5Uie6SGA8XREacyq90Jhj/Ryj81pCMp8B3VYoV+NW1xjq5osAfA80mjf S81MdKjrqeW6FgoPJ2txCk9lRnTVRh403b8bRHQRXofi83aIkvLFGd3d4yApfSgsIst5cCC/PJdb hQYwWlL7AZ49Aq9L8bofeb2fEbFVEDjKWdQIiQ4D5WBjUPePGzdurRS6PQfC+LeR741p5JlFHli0 /mbUcwX+/2cW5Uie6SGAMfsfs8+4QUsv99ichOhiIapfgsFIdFbJDwTSD6JaTMLC6y2oHF8B+b6k 3othwD7QxiNMF2cwktnvQnT1mxxmSVgkbwwQ3R2NqYmU6ooA+uyhQJ/BVbVuf0J0dYM6viAhugaS VhLCFKKLH9RZpMCi+feAdHBbFuVInukhAKl7dqDP/ppe7rE5CdHFQlS/BE1DdJCcnk2y8A+2Z0h0 vHuvfkOkWNJgV12C6K7EorlML5zLeaZY7z6Q8vwQANHdjP5aXu6znp4L/HKoKbUQXU3wpfuwEF0L SnRCdOlOApfcCoXCcBjgrAFLujFrr732mmuttdYIl+ckTeMQYB+V+ozv48ePr+c9jkJ0jev6qpKF 6ITonIbjYJfonECSRILAAAJCdE00GoToWpDo6MpQ7zEkRFdvxKW8FkdAiK6JOlCITojOaTgK0TnB JIkEgRICQnRNNBaahuhgyv/cYDMsSdJeGqOIRNdEM0iqIgjYERCia6KR0TREB6tLIToH6ZJEB3O/ uhtCiETXRLNWqtIKCAjRNVEvCdE5kEsSySurZ4TocjlYPn4OkVm+gdeXJ02a1BmcT+uNHr06TMr3 hnn5X/C6C6/78boFrz/CLWDHNddc0/mMk5Z7KGeS7TVmzBjrRcCo37oImbZpqY4+5dnWhk022aQD FoMbMb8JhcImYeVanh2CZzbEJP8l8JiC9t9J3zK+A4er8f0hE8aMmZhkPVpvvfVWhiXqV3UbJ9ny oJXj2mPGfGztQuELiPX42bhyVl999VHAbVu1KBUKs1Dnu5UvXKFwL76jH+N5KhQb2rRJRAxb1i2s z2oNXYc2j2UoMdTlArxuZPQVHYGF4+tyYo0++paqQ7IQYENQxnpo8w+Q12+QxxUsB//fp/0C79Fh +E7HONu+1vYE+4TzCdh9TZWNUHd6/nDM3K375Ay8785+xe9HNTIEGDDuItaoxwk6hKAaL6wz/+c4 Qlt2wWudtIiO6wHHKONmopzrVL8UClxf6MpyHtcX9n3oWIfqstao/plFI8mKtJLkK0SnfPoGYgiO H19eQEkoGGgnYsC9V+EoPBBvUMUdxPOvcpGIW3j5O9JtFZpXSLxLpJ8ceOZAl7LC0mCiftcMvzZh 7NhPx+WHem+sJnxPT38UFso3sFCYPnbs2I/G5Wn+jvy3LOULPB8J/PYVLpL4/V0jzaLVVlttpZAy OrB4HIa0b8XUtRQ3cgXq/AoI4fO2/MaNHbtXWD6o104+7SylXXvs2A2A51Q8v8Sxju8bPnys92SX cpH/dIc+K+OA9Auw2B9fq7sLNyVaa/OiY/s4rsx5VrdYl9wQoa6/wus1x7rSl5L9UcQtQazLDTfc ME98MAbeiC2zUJjH+pGIq/pciM4trJgQXYDoIDlxMIEM1sYAfDB2EA6QHifqPnGLD/L9vi/R0c8O A31ReZHHbjiunKjf9a6+NEnvQ9qoKPFDUe6vA4vsAEEESN9o23to63au9TSJjqSjnxuKdh8XUnY/ Je0q6RuLAdp3rUe/ldrST8nHSnSQ+tIiOkqOxBPtWpqgjibubkSHwOGJykHMWBu+Lv2ppP6enscS lTswnupCdBh33EQ9W1NdPYmOvrNKCxI+d+zzC9IeNpCFij4QonMjOkiBCwf7GZ0p0WGSfoeDCQPx +cBAnIvvuGicgtdJ+DwtsAOlZLcoTjpC/l/nQl5+mRJSxA0GWqIpTYDlYYty3EI0EVIQ6l2WYCGt 7B/xzBCUe1rVhCwUnsF3vEplH0o0+v1stOllMy0wWorvtomrk5Z0TYluAb4jyVWXrRcHSkI2NZuu lymhLKFKSO/Y92B98dpT/38lfnsOz3CTwoV1mK2uE3p6dij1F6V3nb4kzTtLdNyR49kplgXufV3H 49kfKOunSHMYyjpHqfoKhYWWZ5yIDs8dwWcpOegyGHX/AKoLFRZFafUkvOZY+vkG9oNL/5XSIN/N g/OCeCniKxSoKv5ftg+Y/hyfT1DjmvOhWlOQOdFxI2ZuIHX7ORYexPdna4l0H/xPjcpJqOdMtON1 C07OtxesvcYaa1o2Acvw3T/VNUzsF6pHgRNeVJcuDsypxyBtf6TcJylcSDooVJckOkQTHu4zmNNI qwdReTfdyNsLTKLjWQZet5cGl1rYCoUfM5JJsN3cmfUUCjdUDETPUF7If0H5+QiiI2EEJhjv6/L+ Qz4/NNq2OGrXzgkXWNTnEwsUmrcVrM4bitJfWVpB++ZPGD16fFxFA6rLRZpAB9SkJNdx407Ewvz/ lBoV56lBSRTqsk+YZaOuT+M8b/2YsoeOX2utj/PaqLg68nd1VmYsPqyny3NMg8Xsj4GxwnYeHyc5 oa2rKFLq6TEXPSei47wCLlTHx92jOZSEXjEeuakYP35b1/bxrBvtK6uXNcHezXvmYghzmD77NeO/ Zkp0+u67spZE1/WfPLsOjqtA+6kW/2+MrduMeetKdEPx3PUB4roranPMs0s8c2vgmd5yHUF0LyQ5 sxqEzyzEXSNCdCVJoafnDmMA30cyi5ro+hzvYWMgLoNxR4/r4uBMdMUzj/JukofkMRPSWgUeqpeJ DhJqWD1poIJ0cw1SnM+FzKVdWDB/hOdKMSEpTVwR91wF0eGcD21V5yUkFW6KbEZCwTw1yZY2T8u4 eMaV6/t7UqKjUUFgsXod9fuSR/l1sbpUF4pW9t11LnXkPEA/Px7YjP2BZ1Euz6uNQJ3uo+PGAfU0 zw77ueFAFawSva3+SO99Hx3GOOeFeS58vctZqDrv5L2dxrM0mlH1EqJzV10K0RnGKAMHzE/H7bRL EyB47oaF/icek9tJomN+GOi80diUgq3WiWFlfwwqD1MNhnp+Lywtyjk2IH04Sy66rrQiLNV1KS3V ojCpOKMznsP3oXUM5meezeFzTeeYYXVNQnTK+rNSrftBmOFLBEZ1ITpFOJVnnO/btBlV2MNYIjBe /oQ0XjeE143oCoXfBQj5DNf5Wp7znkSHHVeeGgZjE/1KhQoypgLog1VLmz+dR/GuTSE6IToMCKeL VytUl8VFtp/m/K6DnwuBmQc+X+z6rKtEpxagceP+KzBBj3EtRz9fth6kStZqxYWE/N6cVPh8p085 TKsO3CvPFyJve7cRHb47yadckpshgV7p86xr2iREx/OoAAn8r2t5Rrq6ER3quptZX4zvSPWvInLD whX9/uwkfOfbxnoQ3eiiq5BpMflQ2DyIqr+vRAeS2zowd/f2xQd5HGRuHkGU44ToHP35YHUpqkvT vaCoLsOFDn5/eGZAj44zPtenfYhOkVVPzwOG6vFRfOVsLIBnbzKI4LSwOmJh+1ZAxbKja3vMdMiD vmtFo42YG9QtRPceJVCfclHGLa7l+eRrpk1AdEOwQJkXtr6U8NaDuhEdXR8C/b95FF5BYsSY3iMJ vvUgOtS10lUHPmwJ6+qlusTY/Isx9952UVkG66XOW3t6BtxRYLiSg9Xli4PwvM3bgEaILuBeUPSL 2dp38GMAXmioJZ52fd6X6FDGgcYi1K8NDWKLo2Mynivdf7cCDtefCXsIdSqrdpSqc/z4D8cWYElg 7kDZzqjzmiDR0arVt0y073wDmyVRbfTNu5Tel+joaK40BAPWor9JWHbdiE5dQWTWGQZAkUQHa0Sj ffNdVJ22/OpCdJVGJHRjiTPSsTbdU6IbZlpr4tnE2gbgXHZ5Qj5nU6ITonOQ6kh0N+dy9bxXSw0c GhiYC3azWF1iQL6bJPII2kN/r5LJ+WtootP5hC/REacKlSAsEV0WTtTtAKN+90fVDwT1L4O073XJ 35aGB+ZmH68bYaRjkegm+5YbKI9S5PNYdL/gm09Uem+iKxT2NaWjBGdzperUjei4sakgOvh+hmFC IyGMl3nGeLk6Kd5ZEx1da8wzatT7/Brq6izRMXhCYLOzb+JyDckQ9b9BiM6B5CjxCtEFJDqoIJMM Qgzkww212RvIw0ml6Et0rBv9eYyF5RkHUh2C9PeUngGpRJEIVW3lhcvnvDGIW1AFxjPGMGyDRIf/ N0vQD0NBbn+rULvB1QHfXW5zR0iQv7d7gelSgM8LkpwH6XqmRnRKBYYzaO1Kszuw3pUGVcrHEy4a 3JC4Ep1yzTCtAXEemQRXvfk90sgrdfcC5RZQWdcf1VBXZ6Kj0VdFuQi7l0a5GE9zhOiE6Chd+Ruj FArnJhmEGMyH1ovo6EtWsZhjAkfVmfEnkV6Z+4O4FjHSSlh6OmGbeWtH379iUfR+0UHZzItRKFyJ jiq/JP2g3CIQQSJAdqVzQjqHnwyp6lMOmwNr8b4SXYUPFKKNJGlTGkSnIv1A+kf7n7RhE/UdSTCs 3vjNDCe3Av9/I2kbs5botF9o2bzf1V3G1h4f1eWEceP2r5hTjLOaYD7xGZT7qJHXkzyje0nO6OIt LynRwUSw4arLOH8118mDgfAfYyB4Ex2eP8q1LDNdPYlO+9WYPm6hhiXBnTLa1xfVProB+C6Erumj /MaCEl1VqCOPTlE+XQzAa48oUrSqhcGQXsCdfadYBW+i6+l5orwBQtxJj2YEkyaS6HguivIZcswW XcUllBvJK5zoAnFAkwb1rodEBwwOMcZqfy3HJT5ER/xd54hPOmwknxCi85DoGkF06NDymRE7dx2a yqbwV2HhhigELlli0A4EdY6IThIpNdVRomM9gNmZxqR4gTcShNSPYbweKaeNCclFacdnsnmlNQJm B+saJLooqdOlT5lGq+B+jQUhKpYho2FMcM3Tk+gYCYPhrUpxRXH1Y+I/b6LjhsgMEBCQKhbzDBOv +5HmXjVvUFcbIUYRHfI0jaNIimslbWHWEh3qWvYN5Tl35K0AMY3wJDqGDXTaVPikowU2VZci0TmQ XaMkOjpVV0y8hKqq4HjEAKR6qrSwOO2gK4gOBJxkotZTomP9aNSgJBPdVl63Y6u39r1T6dDO1+NM 20E4n6zol56ei/Dd9mm8aAwQhm0WRGeUxbBNm2JhuAgYzK9aTLDAu0oivkQXsLZz9q+04ORNdCj7 rEBbGZrtMhrt6DihQYOpoTR7p9+cObYiJTrGrjQW8XXWXHONJPOnThLd8YZ0vYj+fzXU1fmMDmWa RLccGwqei9Y8p3im2gpE9wFUq7OhYu3F60x8PgqvA/u6uvad3tGxz7Surv1AQof25vMn4ftL8Plf eL2TgTr2g2tzuerrH5KOAMfnVKBcY4JgciU+oDWKpBnvQMDiQuFPLtVpRaJDu2hgUmlqbGks0pxs 4BwbAUKd5VSGKTrIBcNa02RMdOXqcXFTDtympWDRz+8BF0MRT6KjYU850DV9qWrAyYvo9EbIDMP2 Iu/xcynfx+oyqJnxCX9n2aRma4zS03OMQXSM1rOKCx7WDaRHZBSUebQxp/p9IqLE1g/k8XIGpODt p1aqA6/DgZR5Hf7fH++fxd0ozjHgSo2F3W7n9K6uzZDHxchvQUrtawzR4ZJNc0Gl5Vdsp8Yk0FEP zMj1J7jk2aJEV+GiQWnN4qdG4i9LuFFWjyWcdJQLE0PGAMz8r15EV2oI1ZUYfxWGGS6h2zyJjn1k qo15G0DSPy+io6WpMb8YcowGOE5/XkQH6aRiYxShno4rvA6qy4rjEm7q4uoU9ruP6hJpK1xMGKg5 ablVzzUL0aEez03v7Dxo6siRiUV6GyggvQ8h7z1Bdnfj1V8D6TWE6GhsYKpH8Nkr3JMNE0Ykr1C7 4aDcZUC1KtHp26nLEe3LgV51oxnlv7yDpT7f7Y8Lqhk8uhYpxK1EpKo30bFivKUc+AzctBATvYXP +BIdfZ0MVfpTyMLJv9ICnDPRaQOUNw3p5WznjiAuHn506LdvBuZcpHN5VD2yJjqqCyvqStVfwj8v osPVX2a5wXmasArFx5qA6N6G1DU5a2fsFZg4aOsuILq3E5JdQ4gOXdShzowGztNuq6nDOUF7en5R MaDGjv2iS56tSnRsG+pejmrOMyizvfjtbAMP51vJsTj/wyDIx2pYnF3gV2kaQXSK7My2Fgpvx1XY m+gqjYaWMupIXBkhvzsT3YQJE8YHtCVb+pTpQ3S6LDPyi5MWxVafrIku6NfZM3bsoT64BOaW8xmd xqisRuY6lbTcquew+L+ScOFPrJ4sqynz+eundXc7X9WCWEcfRn0/A2LcAmdyOyOfbfCaBDt3J6dj Nr63q2tdPHNfXJtRzmso53yoT3eans9vAGsN+lQl3WXW1F+m4zMG+ZJaLe1oMm5M8Pddzlw0WQxY XbaIMUoJeBoKGG1+q2RsogIz9/SUr7rxcd9AfuWzDHxejmfXramjHR5uFNFh3JmXuy6Lu1bGl+iQ Py+mNVXBXrdAGNA5E502QBooM8JR39Y1PkSH53kD/QvGxmi2Q3dbk2RNdOriWzMYgoMEH9YWH4mO 66tpJBcX99ULPyzkjSC6fhiTnAKCcoqfhvO2tVHPKSCeJRaC6sdvT/XCMAVqSidfH94UjnyuNPNC 3svx/xzk9VvUbdPzEpwNegHvkRiDjjcpm2a3kRHuo7Lm5YVclI38ZrpWpZUlOmVCbkSOB2FspSSV 4r1iJetTZyz4bNCiE/gkjc/o2gUNk+jMBYsm51y4oyrtS3RIvzryLV/wycDTzqBUJnQmOj0XTKLz uffOS3WpxhpuDq+YxzEBDCLII1NjFF3Xq4y6Lh8/evQnkvSHJ9FR2/QHo1zeWZnOOV29iQ6EwnOy w1xBm9bR8SU881acBKZ+pxFLLhdqmm2WSSkQzxyJZ05C/lvDonJ11zrVOx0ce9cwFwEu2An9cBj6 qSIKBybfD13b08pExzaaZuT4rC45RfsvKe+yY4LyWnAaCkwGbklAQOZaHLhd+qFREh1wKt8UDewe j6urL9Gpvhg37mpjkaOz+jZx5Vh+dyY6bH5GB86inM6qS2V6SnQ5WnOiPPM2eIbRc9rsm+3MWqJj WQwtV0HKhcKsuM2Nra98iW6d4u3rJkZTkG/tmrR6Ex3Kc7ZOm9LZ+VGQ0ZtOJFfyhcvnr/FRZSaY SA15hOdKFZOyp+dmzyssqBYoB1RmXrQ0dFVbKqKovKanJfzozM7CDv6LpUmEtiygL5PhZjE3znfO 1vEqDmKlm8FtCOCb2O8obnA1gugYrsrUAgC7c+LqmYTotCpx4OYIbOgodcWVFfjdmejw3LAKt4ZC 4Q5+51qeL9FxwQ5uNGFwwWg9zkcveh5mLtGxTqjrnQEJ9Ghf0vElOo1RRRxWurm49kloOpxFvepF JA7O1WH54VxtBoxCnDoVxikdkLTuTFS3fH73moFpsgxo5m36vmmiuttlIaCUQd+kgPqT0Rl29mlm qxMdJ29FRJienr8amJzpg4WRlnkOWAwWNxB34WB9ok9+mmRjd65pEB0cMZ2lCIYjA0blMGr4vMzF /SIJ0alFPOi8zbMibCY8FlgfoqOqrEKdyM2gK/EkIDqqOz+BMgcuNC0GKLhyPVx06jpe6iHRsS6Q QD9PNXWFlI1rtnz86hIQnQ2j5SjzRN9rjSrS14voaN15lYd6EKS4VyKSKxLxQ+0o1WHC/7hCrC9K Ekvx/Y0gvEPVIjh+/EaUXLAL+iYG2X5YOKbivTp+X6GA7nDbdJQmYBsQHVUy5aDS5gTmpHZdaILp 9B12z1dI3MAceF1sRNcIPjYMz62HwNM7a/Xpmy535qVBdCp+Je6x49kvA/YGI7GoGKHjxn0Z7bmA xk+BDdIFLjglJTp1C71xA3pZrQzpAnXZk5Z5NtLjNTjrAk+0Z4eAmn9yVH0Z6SWQnvcs3oDX5hEL 61A6fAOnbc35GBUZxawD5uaPTAlZtRGETlIg7mHl0oGarjBIN8Pok9RvLzDrivow0PKAKrG4kXsD 9T2RqtgQjdAQakuUGxPWpnJdC4WHXcYO0wCjXYMYaV/Xw2kVatusMXYr1z7gcwgNWfD8PeWxUi+i g49caMDTYONJUqjXkzUQ3QpaZ7qC2krp0HlHWMjOLz4cooJ7qj0VRO1AdNqnruwTpifhgx4Sg3W4 rIO7tDC5yoGJA+SwDNi9ikn/ML5/EJ8ZU/IDSz/uEzcWayU6fUNDxcJFKQ2vt1D/53UcR3MXP2Cs gcXDddwkJTq2H320ql6obOO6H/jN5zkh6jwHnx816hxsF5+PJDqWhzR7VxFPUdJajLyfUsTLuwcZ 67LoPE+JrKosV6LTc2mPgLRkWpwyviYtNB9UGohC4RmtzTGNyErpMyU6jQ9vGzdVymZdF6EdDLag 6sqxjbq+a8OT4z9ufAdIdi/LRqtU9gfERc+nRzi/UG7FvMZ3SydOnFi02cCZWeaqS5DOP+nH5tpI hPb6ci0kx2eh9qxLSCbXNqWZDjsl7iRfCiymsWSnJbtj40zDw+raDkSnFpnAXWxo18Fp9I9WZV0Y nHAe/XRyXD1qJTqLBW/suOEiB4zO9lEd1UJ0xEA7cx+Ochd44GdrSyzRsTxIENsrSaWGoMI+RMcy KU1TzV1LmVwHat2kxY05XdeNUdf7a6qrJ9EpkoVlag3l9jMmrWof/cVqJRWH572sp+C3dqxDnpF+ fL1wH3DpwFIauhzQX64R8Sx96llKOwmxCLEI7IvXHVWql8rJulxJGrxjyyP6vK1OKOdWtZOmZFI8 N/H+w51Tu/B5vSP/BzJwOrNF+luMsnf0Lth4AAsS7wZ7UklZ2In6+M65lMvJhXzPVBKSZedvLBaU CuYCj+l4380leC7y/oraxaJPuQD4nJew7jiv3QDlnUdJBfkEJdsgUcyl+tVFpRrEZYMNNhhJSUiN Pez0k0a54NkV6nkA8rgV7+/FLbTczFHKw+vPeGZ33rvn0mdMQyyV2gtXWEVIEiWMKF29qYnqQqTf L7ElNIx98PyfkB+lOJvUZvYL5/PrVK9iLBztGpfTFYOYdMPQxu+g/MtRPmOT2iToyroWJa2/oX2/ ZISdhPXo4N2SyOcaLdlGbc54gfDjeJ1FNW95E1AHonv/77ncSJ8GQsq8vlaig0TnGspJVY2RWVDm PLzewrN/ge/e5q5+eT5tyyKtkiS48+HtxzjHwPv/x/tOGBxfo6qu3NlZFC55RiEwjJsLhn9Cn+yi +2VPbhLYN/wtqXSdAuxDGPNUWaIWCluTaFHPn3D8UGPAyPw+Frkp1Cc2C57B8HyGPpAV9QWeyhwe hh5RNz/EFmAkIDZqU8G+GjduL/Yd/t+VZQObL9A1AcmdjXocyx6mQv4VbzX/Yalcnlfx9m11/lS8 3sfZMtSx3CTJhk0YPRr7Z9y2XijsqMZ2JUaf14EtUq0rVefK/5FjFjYLHLPc0OC1DUlfB4Ku1h5m TXQgDa8ArVRxguheSIHo5vuoS9nTKHdGRbn5/KOMk8kg0UlGgjwjCAgCgoAg0AQIZE50+fwxPs2E KeBwkA2v5qkpxBgIdikDOvuUzet+bOUCoxfx2zlZx+P0qaukFQQEAUFAEHBEAAv767WSStTzsLbc 1rEqKhnI5MMp1affJ44my57R1fXNiLIX4/xuZZ+2SFpBQBAQBASBJkAga6Kbms97RTaYPnLkmikR HSXCST4Qq5iaIZIk42z6Sog+ZUtaQUAQEAQEgYwQyJrorh4xgoe2zn+wfvxIakSHi1udCy5KkzRI sd5ZJ0Tng6SkFQQEAUGgiRDImOiW8Wodn+ZCahqFOi1Lg+xmdHR4RbtgeDIQ2kLrOZ1IdD7dKGkF AUFAEGgeBLCwv5EGqYSQQ79P2C+i8hAsHFGnd1KpU0fH53yQJtFFGMIsgfmol3GLT9mSVhAQBAQB QSAjBLIkOhWhJJ9f36fq2r0glTvyZubzn/IpG6HLh+trhGwWn0t8pVOfsiWtICAICAKCQEYIgIwy k+iUVIYbun2rDnJ8OAWJztvqksYrEeUK0fl2pKQXBAQBQaAZEIAEMzcFUgn1eUP+f/RtJ+pza611 QrmL6JPnUzYsRHcVovNBTNIKAoKAINACCNSB6Ob6xo8E2VxZK9FBknzKF35gcZkQnS9qkl4QEAQE gSZHIGuiI3EgWLLXBZ945ohaiQ6O6jDgdP+jMzjKnB/hR7cUd8mv4p6jpBQEBAFBQBBoCgTqQXQo 46Hzcrm8a4Onwi2gVqLr7eiIvdvLrA+cxX8WVSZDignRufagpBMEBAFBoIkQwOL+Zq2k4vJ8b1eX D/EMQZ6zXfINSbP4quHDGbXf6Y+3K0DV+aIQnRNckkgQEAQEgdZCoF5Eh3LmTenqWscVHVhe7piU 6HjNjms5TIeyTogrixIdjFtW9clX0goCgoAgIAg0AQJ1JLoVuAz1ftfAyEfhrifU7c44Agr+DkJ6 H2rI9VyhhYrzK8hjSVw5QnSuiEo6QUAQEASaDIF6Ep0mk9tcHa9BjB+DtPVWHAkZvy/vzed/5Arx tK6uCSAwJ+d0Et11ItG5QivpBAFBQBBoHgSwgPsQSU13xJUICWXOntLdPd4FBfi2/RfI7uk4smPQ 5ekeBiizUD7yfTIuX6POQnQuHSZpBAFBQBBoNgQaQXQkD174CgOVb7rgcWnR9P9IPPOSRVXZD0OS 2xHAeSOXvJiGaeOMTyzlLO3N5VZzLUPSCQKCgCAgCDQJAljQ6y7RGSSyFIRzimsEk/vgosAbCfDM j0HQk/G+K9Sbn2B8TBc4eQ0P0h+F8he5SnJGumXNTnS84mhGZ+e3gc3BwOY01P1C+BP+kbejQ6V7 Ev4/EJ+3xgZjXZyBDnXBTNK0HwJU2eNseiO8fwvjYYupXV2b9SEAuuuRQvshIi1qewQaTHRFVWg+ /9ssgeaijjJ+4KOqtBBhUxKdIm8QPwjtFqpvXQicgauBxctIezGJMUvsJe/mQgDBG/ZAvy+v0ljk 80+4Hic0V4ukNoKAAwJY9Oa5LI5ZpMFi+zwkrG0dqpkoCW8En9bR8ROU80gK9W8qoiN5Y9HazabO 9WzrApHuEg2vlnsIEtzXMTYWW8bHnKm53Fot1yCpsCDgikAjiE5JHpDi+nK5lYL1hITSATXK3kjz H7wuIlFRraLTRqooqdqkawEJgCHAMKHf9Vz0o4xtllE16Iprlummjxy5JvD7WxptA8a4nUj+2h2B WVDxh5zH39Ms47rd+0Da10AE6k10KO8uWlLamozvP4XF+3bbAo7nFmFxf5bP4/0feF2D1wy+INXc gGcYSSXL88amILopnZ0fR3ufSYPkdB4Q6OSvnRHg5cchavtb5VyunXte2lZGoF5Eh3LegZry55TY gvDzZm/8diAW3g9SXMBTcYUwjVFmjBrVUIluFiLLxKoq8/kXgPX5SmULQ4O+rq5N8foGJNxtobra D+05F68H9TkNz2omyXRoLgQu5rkrtBpp1IpnuBgHt1SdyXV2Xg/V/qg0ypA8BIGmRwAT4O2syQWL 8/VQKa5tA4ORUvD79KzrkEL+y64aNWr1RnUoVbeaoMIIfA42C9+zbSQsG4sh1w4fXoAE/YNGtUfK tSNAC2IQ05+ppagVI+aFMXOJxfCkz9XSudY6yPOCQFMgkCXRYcK+C2li7zDz/96VVlqNZ3EpkFDa 0pstv8YSXWfnBSEqXfoRnsLzyaYYUFKJmhBAH6srqtIgOuTzc7xoiUvJfRk1JiRRGSs1dZE83IoI ZEh0c3ieFIUJyr64RUiOxLfs2gZJdIzHSZcAi/qpHyrJg1px3EmdqxFAX35fE1IqRKekw1zuw1NH jFiL2gioKjsFd0FgUCKQCdHl84+7RPrH4v16KxFdI1SXWv10qw0nWJeeg0Hr5Cw/KAd3CzWadzBi PrxX6uc0JLoWar5UVRDIFoEsjFFcz35QNo0i6qF2TKOMhoQA6+3utkpzUFc+w3v0sh0dkns9EJjW 3d0TDEknRFcP5KWMQYMAyGZuymSzxNVkGeVuhfKXplx+GqRmy2Nxn8XvL+uBYjMmIF6IhrJz1mU3 Y/5Qvw2b0d09DgG8v6zGTz6/A1V+MHbaDP9P5PVOWdf7PJyHgpg+i/K2gVS9PUNp8a5F11B0Zv3U pb+dnfdZDEZqNkah9SYx6Rs2bFMGZuAGlO/wS/2qvpg4c20A49TCAnhjrZbdDiH8NknLepljgZsE 5P8lcywwhi7b7WKY5TBWIjFi+cD02xyHiDK0Jd7XZ70c8s3NxOXQGLeb81kaktHtCsZ5XS7P+qRR lrf5/Gew1rJ+OzAMIOP9uq7TPmU1bVpM2BfSJBoA+arPhJ+CBQvPzDLVNmnWJ628UL/3U5o4zmMB C+oIlLugqg35/HP1Pm/BQvVd1GM2x4sKH4ZoM3g/xrkxSIjJ/Ev93Mt49kW0bTbiLG4elYeKAAMS Q/rf0YeS/RDVpwqvfH4Kyccn4gvJi2b4jNbD9uHzAyCIb5h1mwpLVeR7Bsq3+2uiX9hGjBMns321 UOfzU23twfdvoB191ldn53Y2zGjBjPQ7qbPvYjSg6E0k2op0v2e8WJ9+VPFmcbekcnUprh93BBdN tZCy/pZILDxvVn2JRdenj5QaH64yDDaB5+90WDMWoIxeEpFPOcQC9b4V5Tynxnpn5xwSUgkjfZyw Hb6/x9p3nZ2v4fujSDA2XFUbkH/Iuft7+P4y3z4JlsOxxY2YDiyxMGTOLEdZ9+K3/dve1URPiNSk IA4MgO69U6S5M3bHG3CHjB3ZPuiA/+VgQX4nQHr5Ld5Pxet0Whji/Wj8fhA+74Xffqh2i9yt4i46 DMh98NxhejJchnS34TPvnKPVWfJ2Ig+fxSCNtFysrXXO549LI3+fPDSuFfhxkfbJA31xhUVy2SMq D31zRaJ+Q/2u567ZpY7cSQcXZQYALz1LCRq/z3cZQyj3Md6lGFcux7ZLfsE0qMtZtrxJHEnywzNL MO9Odt08oR+3qKpTR8cXWCfmgfr9Hr9XxdMMGctTEJllRBxW/J3pbOTg0mZgcyOlL5dymCaoacLz v+H3l0ACx2+MuuQyJm/tM7RAemPDDVuVYZklvw9Q5i6u9TXT/RXrKDcSjnUsxRt+MctwjEnakeoz AMMaicQLpMpO/8B14KbakIjMuJubNWLEaO7KQHrHoW1UFfkS3/31qm+pHNT1eFs/wApTLSr1/GsU 0TGYACZt8lBuiKZDVWccVjai480PfA59wGAGbgu3ngtYpJ6Juu0Cv+/mm2dpLJTqFWwTznM3qWHe 0tKzz0VrYSM6lLsdMUQeM33rgPz+4qIFoloaeb/pm385PbURuLkhbixYiQ5SFt0ykNd1nuVfgfyG aP/Isz2fXULpz6W+pTQqMIRh1ORZ3nJuvlz6wqdOTZEWi+k0TzBidzJQR361KRoXXokhjInJXRra /4ZT+xFqrN5tokRiqdvbjfCDahTRaaKxWp069VvRJ+2WuHMTG9HhuWu5cCTYFKk5ggWHVrFVf0pd n+yqqGK++fwZtnxp6YzfbUGbY+esgeURcePcRnRG1B2fskppKeFsFVeuHgs3uvZ7SLrb48aCjehU 2EHcielbtlLTIpg2+mxPPOsiyVXih1slqFZ3wUb3S639z/GlpNe2+gM4vrsMl4GMc/DW+OuDagEd eyxwiBwgUO2cXs8WqXMA+/nprfWsR3mnWFQJ1111yfIZOg79w0Dg/+K9euivHWmAwHOMmZ2dH8X/ G+qzqauCKidDCvpeFG42okOejyK/CmMt1gPl3USywe+sy1R8Zz03xPcLqUkIlsuwbPjtz8brpqoF FKryQJpyerT7u2Ft4ZkMnpuP9xl4P5xGDrOAD1WpKGMifTLxvj9ed9oWbTzzTty9iyES3b+CCznS zSM++rjhVNSBG5YwyZjBxWOPPEAaP0UeS5D3Hcj7ZPZ7aSzAb1eNBRh17EQpkelCiMl6xmliWjWO eHaL/izlh8+UfmZxbPLIhOSAF8/zbOvjHUhfedZeDNV3Eep/Ip65EO9Vl0obecXXl0Y5ITfR4Pt7 ULc9sIZ98mqMR95Hibx5fjeFRGypM8/utmzEOpNZmdix8izMhbx80iwJC9ycWUNqzFgvls+GYQEr v31qLMLrcZ5ZhizaF3pllFLiRkp0xMLFL5NN1RfzVvtnxkjkVqKrnBc0oLjUduanLP9CIvwQt7gu oDRj2UQksrpkAGfns7YiaVSp8HlGHlXnEKIz1wdGYDnYFmZMSTcWAysuuGFhAs260MDjOkiucZjy d85pvF61YPu3uOfDNkwqL2xCaPUbzIO3QOD3OTHr6WLkPTmoIiZWeO5PIc/i5+g/fVtL5Ua0SGJH Uf0f9rTuy+qjARjitFWYOK2a8SExt7Sw+pqVy60S10HN9DsXsTDjnHqrYxmL0rrj9rR0TAvfRhKd bxu0KXtwnL4bdf7kQHQ0TAmVOOhegP6yBSWPXaTSJDpfrJRUUS2pQ6gL/4siOvz2Pt0Zop7HHPtx yNjezbf+celRn62r2oc6xpnxRxDde9jEfzqsXGy0KDFb10iSeZSBCTco1CJY+uOlKLKiEZ91wwJJ MQ4f/k63E2t/YCPk8nxLpKH6JwOJrnRGcVdfLjemJYDQlbwahgsYbC+amHDQ15u0qWaw9QsW8cm1 4skzCmWcgzJmYtJS5UPT9Kh8W4noSGjAzma0MDGsjVFEx7M6lwN6lHm5ZZF6NK6/Gkp0RR+0oEr6 6aREh7z2j2svF3TMKZrgB8s9Ne5Z39+1pWNVWbwSLKaNVtcM1PtXcXXA+vG4dU11OOcnfpZnl0fd GYjyaOUaJNf5lO7j6srf9TGJ7exztsu4dymj4WmUpRT08pmRXT7/GvXovn4sjQRGOyOX9ftY6B5G fWLPD9Ks8ww4j1r7BEGyay2H5zY8YzDzB+k93i5Ex3bwHK0KvwgLtjCiI07cMbtgjj7bxdJn78U9 20iio/9UUHqhVBYl/YZKdPn8U66GUsiDZ2hBw4spcVgl+R3rT5WlJH3rEhDduy4qdLTrQtvchc/o ZnH1h9P5x/Fs1blZ2BhU1pyBjTnLRvtgw+L+Z5N8WQ8a7bnn0uQp0UgeJLupJBOmU2cYEJFdzw8a DRkP0EuYoO7n17s+POO09Unc+YlLPVV0jOpF5pl2Ijq076pgG6P8hCIkuttcMGUajBlGSwmekyyP O+toJNGR0DC+55n1xv9LoiT8CNVlrMVmCUvkcbhForvRFWufdNCCXGYpawdfogOhRKp0jbYdapm7 JMnhcfXW0m455mk5n+5uqyW7NjKqIsY4Ig/Wgy5hKKuqXBja7BVX55b5XVkvJSQw7+d4OJzPnwap 6b9dfHYaBeI0RH0vLQB0Sq93PYDrpBBsD6i1Lu1AdDDrZXirSfSNRP9sjzFMZ+lt6HeEz+vb3GZ4 dheGXRjRAatfuOJNizZLny2HVcmHovLImuhYPoNGsxziRLxUmXADwvtEC9Et5fgPq3MY0SHvz7hi hf7Z3YKV86bCLEf3XehYQL3+aiG6HX2JDharP3dpHy0cLW1z9sPF888Hn58BIx5b2RQeLJur/iRH LTaBB99ZXWRccGi6NFGHy95E5keYc3h423SA6AphwJ2K9i9F+I816l1HZRhjwZKuELXWpVWJjhZ3 kHR3BQY0ofdWtychOiww33TFm2rAZiE6nsFqqek+Smg+85iqzAREt9BVbUk8bQZDXGhdsSa5qWg1 +fw1aFt1mLyYdYguKr5E5+q8rV1dguePsZaeZYkQRyVV/RWidke6at8+WIUmOVtDXtV3XsJ/0LVP mj5dX/H2apvFWBbqzGUY0DdSSmI4nWYGBzveL6KudzaijlzU0SdVCxQWiItqrU8rEh36YUssIE/7 LNjBtImILuZORbMvtIl4cM7UVaKjczHjbQKvxNFkkhAdiCNS9R0cszZrb1ei48Yc5T1Zy1hIQnSz HGOCMu+quiEwh+u8xbPVLgohREeJyyLR/du1LDMd6n2MRfJ9JEleTfsMFpFraxk4cc+iQ6j/PSsu WCmtpHhhq54IBypnU4RiwrNXoSMY5HYG1VJaHcHYiZfo38/F92cpCyQdDxO/7a/UNB0dn2OUeF/w lb68o+Mnvs+lkV4fMlepMNAmOtbW9NdqRKd3rV4huGzjMQnR8dJSV7AbTXRKoszn/x43F+N+T0J0 yNNZNacluqpzYheiQx/+AulqHgtJiM41VmY9iQ64V1n64jvsk/3/eImzhehe8s+piZ8I0SunIdEx OOnJU0eODFX/0UdEq0+vxDsjw/uHyolTVTDkEkJqcZH3sQCN87fJskuporPs1t7j+VQt5bYS0WGj QafmqHG4GDjxNoVn8U4zcjrkWsdPIqLzUFs3kug4ptH+6WFYaUzeA068seA5pOM8owm97eb6JKpL aC7d/5JIdKj3XjFrA8fCKy5jIQnR6auNYhtZT6JDv1YbXSVUNyKvyRZJ9NXYBrdSAprNoqHpqi9h 1hsX7UDFnAwJRxS380z6OwbiTa5R7RvZh5iwv7a2ESGkaqlXqxAdxw7GRlV4LXy3EH14BoNbBzci 1AhQCrNpKNqZ6IAHg0RXbwiK1yEdxHkW3OBxw6TDQVXcypBQosuU6BiYG+2rUseirovQ9jN5zGAb CzyrVFqgap897zO6ZiQ6arSCbWOotSTrA7CsjpKFjVGSvJr6GQBWdY1KUjLB4DoxLngq8p4EcKuc OROX6WEIQ8umZvcRYUxEGxa+PjLBQZeE6KjCtez2+nwGNPra65oepP+Dpf1vUhUdVy6erfLTalei 007RtjOr2+P8vvS9ZRXO9c1IdLTUtoyFeSS4uLFgI4O2kegYc7V63ZsTh4ntd2Bsuy1ldpK8mvoZ hrlKg2QwUS6Ks/rhoTnKuj+N8mrIY04jVZNxg0GbTVdF+AC+C3pXWmm1uOfDfk9CdAxcayE6L78n H6LTqjhb9Iw9Xdo9mIgOi/aGFhX34jhtCnFsFaJDG6uCHkOij40jyja2M9GhbYdY1r+34tZf2xzC nLH5G8JToc3+1OIScmuuK5nwnCTOb4iwaV+eNM4Aa8oD9U10uWG9uh64nxuikjoxaR2SEB3GxZYW oosNb2XW0YfopnR3j7ectS12vQm5DYjuJtf+DZG2nczCW4HolCq6WmpZFhe2roRfOxOddV4Cq6mI les6fgycZlepQXHptW8+LZG+1iDPIA6nu4xsh6iuZJpmurBLLJulsxiLMsTKbDHDhCWpZxKiC4n6 scQl2kOpjj5ER5WUhVifdW1vqxMd2u5sXYs5d7RFonNy9G0JorNFCYKE5zoW2pno9Cagygo1TjUb xO6qUaNWB05V7kwUSFxxbql0Wqr7d2Iycbx0FR1R7RTpccaWuH7VZVzZ7B0EkumztZe+S0mMapIQ nXaGrrrShZFJXPHzITqopTaqWrxhLehRVquf0T3m2lYsRlVGS8C6bYiOZ7KWsfCyKz7tTHTEAH39 gGVT6Oy3p/KwncGD+BoRLMO1X2tOp8IoJTTxdzkXQAUZiNTmI1aTGjIh+R1SM2AZZ8BAr7QuC1Fh Ps7ffaqQhOiYv/VM1cMR1ofoUNZES3sXw0FolEtbW0miwx1t37JIZO+4nh+jrVVm4ZhfTuenrSDR zSpegRRcG5ah7pGh1QaD6pJtxHw+wjJ+lsT5LJfwYUQbbKYfsZAl3I/b/A+7xCkJiSP0KhQTMuSd eSDpuPpjMXgj6vqLZupiLGa2QLGlyc8QSAcwMKtLnZMSnU1FhnIZ3d9JveFDdDqWZZW7CyS9n7m0 saWIDjEibWOVUq1TWy1EifwWu2yAWoHodODp6lvcOzqc4r62u0QHqYtnmNWBoOE47hKWLWRer8D4 aa9bxm2TiSoxLBYVUc3jiIO/R5lwB4juQJf8skpDE2rk/R2XhaQZ0mgT8t4YPF7FoD0dbduib/jw MabfFK1cZ8HAA/3zXRsJYEcXG8JJG4hUSZbIj07ah8YRLTZPtuC6e4ThizpVXa+CcjihY/utlYiO UiraVEXq6MsbXKS6PoTw07gE4ys+HKdhaQWiU9qEfH6mRWoh+W0VNz/bneiU6jGfPyFE4zMt7EZ2 vYH4lc0GAN/9yyewRlwfNPXvKmiqpwoTgDtdZcGQXBi8T2VFZDH5ftCKh6wkEi5+Lphp1fNipH0b nxkAmedr4RFnHIhOTyib307pot0FdNSmMzdex9DhncSL96k8T7SVj+9DiQ6S53dtbWXbqJrD++F0 lNa3F+wIFeBPUdZxKkScJdBvs/rRaVzt/YpzSbTlz2gnA4yfq9qdz1eZfOM7m8/hCjz7Pl6XUb3J +ayx2kWpO+mbls/fHFzouAlMENQ5U4dxqndtxynqO7QB2ByB991LYwG3o+xDwziuR0hT4RDPMRVn rKE3whUbh2Z0GC8RiFobOjsfClkbGAXnLGhedub1Pfi8Hdp/LPB6IiQ9HfMnNTU5pV05NPhil4XV SLMMB5tfcqkHwKb/T9Ug9CzP71wPV9XzyhKX+jVjGqr0MKAvsk36mnBzJLpLcRO5VZ+f0JAoiuh0 vM+pNbXLqFczE91USKmu7eTGJaiSogoe/fKCax5R6ZqR6DAXh6DOV6bRvnYkOq5VMzs7P4ox8Eot GKHvl+C1dTOufZnWiZIXGn6PD3hYvJ50PfviBaNI/5hP/gnTvs2o7nHqtUzBTClzTQA7YFC/mBAL W6ioWNVlqfrYXU9Iy2o2iuiUyqqolqu+LTwBsTYz0am2hvlMWtp63corrxocTsoVhXE/E2BjPtOk REfndqp4r6+1fe1KdBwPvIg16dxEv8/j0UZKy1TrZXM9znsYKNVzgN0dF36ohAQchoYj7wMSlBEv zRWtiQ5xrUsr9Q4nPlVQNW4UqNK8Hdjv6tN2OutS9YXyF3qOi5Kak2d9t7kYXPAWCaSlZdnbScrC M8uB0dPQNGwc1sawi1d9zKuTBnUu1Umflx2G+sZescPzUltbtF/V5TbVmyN27Jd7om77QN5bWPLK VHVZaislWV6Gi/Kpjouf/9U3vlPt/UzfsGGR8WJbTXVpjgX2HdSUJ6ANNgOVKsyousbrap7h+6wB bZkWg4o3EXuJxdQZc4fhCog6HMVNuuqMB88Gzw4cB/a7lADw+hWdnAfDgSpvf6CvEdrMM6vpaPfj wUFOQsJvL+H9XrxPZVw7Sjg+19DY+hGL82j64CBfngP9B6+5gX7j/YNz0XcM90bV02FTu7q+5hrV wiyT5uQ8Z0AeVKffzx0oXua54xK07TV892+0jX50R3BR5s3fceNAGft0dh6M/E/Hc+cBn98TTx+H eJTRwfbp8Xs+3/k/idp1DjAdsFmdtzag/CvwuhOvB9gm1OkfyO9CzJH94jQTlLqRltdcTeN4wOfg osdbRZ5HvrfhtwtQ3n693d1foQQdV1dllAQndX0ueB7ef8d+iXvO/J0uA3iO57i8uot4n4LXD1zz YD2RfifUn2r8/5D4zLGAz0s5FvA9fYKvpDYH79/heI8bC6wDxwKep2HX+aWx4Hp/Jtc8fT59NtuG fE5G2bFGM6W2A8sfEVOOQ43xUUkinXCThnVhf9TlGq39UX6wxEnPyVvpg+nqhuDaNy2fTpGdv//b AoC9NxcBXwC4sGHH/xUeMqPsI1H2mXqR4x1MvIfuHHx3Aha1yfi8NesXF0jatw6tmp7qTS6wnJx8 17HvhmTdHl3uMC7EJAmScJK4ey71ZL7cHLEsvHdzAcuqLJf6NHOa0nggVsZ4aOYqe9VNxkIsXFwP 1LykBbbMkxi8eF0Gd5iO0pUpJt9P/y0uTLFdklECfba1fpzJdUbFS7aCgCAgCAgCrYIA1U6Qoq5O QHY0632aKguI5xtwt591m0msSq2HMkHQd0E6/HHWZUr+goAgIAgIAm2AANVECBW2b/AsyJX8lJ64 qAa9FES0L40S0jAYuTyXWwU+NF9GvvujjKtRxqtaL/0ArdLaAHppgiAgCAgCgkA9EdAHrze6ElxU Oh4g0w8E73dQYsT7H3ioi2cOUaTKwKP5/F4888NvPJf7FYiMjrSX4/tbtbEFI56YKlMaYRxD/7N6 4iJlCQKCgCAgCLQXAnTmpLd9PfzhXE2Kl9Hyrrera932glpaIwgIAoKAINAwBNSt4TD5pUlvwOzb lZxqTodyF4LgGDJp/YYBIQULAoKAICAItDcCPL9jGDDtB/JGGmrNmDx48eD9iLZ9cK1+Ye3dM9I6 QUAQEAQEgdQRUBEnuro2haR3orJ6tERpT0SEuGIHec6gQyTPCcUvJPWukwwFAUFAEBAEkiBAh8UZ iG/JkFMqekBRzcj4dYz88CRejN7xGj358f0T+HwPPftVhAJEmcBrG567NdIfL0m75RlBQBAQBASB xiDwf9+dSnQsuKM/AAAAAElFTkSuQmCC 1Abstract: The teaching process in the General Plant Technology subject does not consider the existing cognitive diversity in the third year of the Agroindustrial Processes Engineering career of San Luis Municipal University Center, which limits the appropriation of professional contents by the students. A didactic alternative focused on teaching tasks for the blended dynamics of learning styles is proposed. The methods analysis-synthesis, documentary review, historical-logical, systemic-structural and statistical were used.Keywords: Learning styles; Teaching tasks; Class meeting; Blended dynamicsRevista EduSolVolumen 16. Número 57.ISSN: 1729-8091Publicada en línea:11 de enero de 2017 (http://edusol.cug.co.cu)PAGE \* MERGEFORMAT10 EduSol Vol. 19. Núm.67IntroductionThe process of professional training in Cuba has been characterized by transformations of high impact and social significance, for this reason "the fundamental thread of this set of transformations is the idea of the universalization of higher education" (Horruitinier, 2008, p.25). Consequently, the above validates the conception of a blended educational system that responds to changes and socioeconomic transformations that are materialized in current Cuban society, hence it remains a necessity "(...) achieve revolutionary , educated, competent, independent and creator professionals, so that they can perform successfully in the various sectors of the economy and society in general "(Ministry of Justice, 2018, p.648).On the other hand, in order to achieve this goal, blended learning also assumes the process of training professionals from the Municipal University Centers (CUM), therefore, the presence of students with their teachers is reduced in the planned teaching activities, being this pedagogical conception is reaffirmed as:An educational system or process in which the student does not attend the class daily, only once a week or a month at the study center (...) with the singularity that he / she will not "receive classes", but rather receive guidance from the teacher on those topics or contents that have given rise to doubts or concerns or require a more extensive explanation. (Valenzuela, 2006, p.4)This form of management, and especially the one developed by the Agroindustrial Processes Engineering course at the Municipal University Center (CUM) San Luis of the Eastern University, was not accepted by the pedagogical group due to the fact that most of its members were formed in a traditional educational model where the content of education was the main thing, and therefore were not prepared to assume a different way of directing and invigorating the teaching process.An educational model that stops Valenzuela (2006):It has its pedagogical basis in the so-called constructivist tendency, that is, where the student or apprentice is the one who is building his own knowledge, based on his previous knowledge. Hence the importance that the teacher knows the different strategies both teaching and learning whose purpose is to activate the prior knowledge of their students and, at the same time, provide tools to facilitate learning with meaning. (p.12)On the other hand:The class meeting is the type of class whose objectives are to clarify the doubts corresponding to the contents and activities previously studied by the students; discuss and exercise those contents and evaluate their compliance; as well as explain the essential aspects of the new content and clearly and precisely guide the independent work that students must do to achieve an adequate mastery of these. (Ministry of Justice, 2018, page 687).Unlike the ones expressed by Ortiz (2006), the pedagogical practice of the different blended encounters developed in the General Plant Technology subject does not take as a focus the learning activity that these develop, so that teachers do not structure it from the personal experience of each of them, nor do they take into account the real situations of the social environment in which they learn for their subsequent personalization; hence, this complex process occurs spontaneously and automatically, which means that didactic alternatives are not used to design teaching tasks that consider the individual modes and preferences used by the subjects involved in the learning process.On the other hand, the insufficient didactic - methodological training of the pedagogical group sharpens the efficient management of the modes and preferences that students use to learn through the encounter class because all the planned cognitive activities are conceived in the same way for the learning of the individuals based on the criterion that all students learn in the same way.This leads to the self-preparation developed by the students to face the different moments of the class meeting in the blended learning model is not effective because of the inability to self-manage and appropriate the knowledge system through individual study to respond to the demands and requirements of independent work as an activity and work method, which affects academic failure and desertion.Due to this, there is an urgent need to transform the blended pedagogical practice in the General Plant Technology subject for the Agroindustrial Engineer. It is necessary to enhance learning and its styles through the different phases through which the class encounters within this educational model.In the present article a didactic alternative is proposed through the teaching task for the blended dynamics of the learning styles of third year students of the Agroindustrial Processes Engineering career of the CUM San Luis from the essential contents of the General Plant Technology subject that favors the process of direction, appropriation and fixation of professional knowledge.DevelopmentThe Learning Styles as an attention center of blended learning in General Plant Science at the CUM San LuisThe theory about learning styles has great theoretical and practical significance for those who have the responsibility to direct the process of appropriation of professional content in different spaces and scenarios and, given their importance, dissimilar meanings that in the field of pedagogical and psychological sciences have granted various researchers.Cabrera (2004) argues that, in order to overcome the predominantly cognitive vision prevailing in different theories of learning styles, he proposes conceptualizing it as people's preferred ways of perceiving and processing information, but also of orienting oneself in the fulfillment of their goals and interpersonal communication.On the other hand, for Gallego and Alonso (2008) "it is the way people can think, learn, teach or talk" (p.24). While for Bertel, Torres and Iriarte (2010) the term learning style refers to the fact that "each person uses its own method or preferences to learn and although preferences vary according to what it is wanted to learn, each one is inclined to develop certain global trends that define a learning style "(p.285).As evidenced, current trends around the concept of learning styles coincide in that it is a process of personalized character where the individual assumes a particular and an interacting with the object of learning way for the appropriation and internalization of knowledge, skills and values as essential elements of the content.There are many ways and preferences for learning that the General Plant Technology teacher should take into account when planning the teaching tasks for each blended encounter. In the Alonso, Gallego and Honey (2005) consideration these styles are classified as active, reflective, theoretical and pragmatic.It is worth mentioning that a student with an active learning style learns better the phytotechnical content when the teacher is able to offer teaching tasks that are a challenge to solve, giving him the possibility to make mistakes and try something new as an alternative to obtain this knowledge.On the other hand, in order to satisfy the cognitive needs of a student with a reflective learning style, the teaching tasks should not lead to a process of improvised appropriation in which the student does not have enough time to gather the requested information; there should not be any pressure for the student to analyze, assimilate and prepare the oriented phytotechnic situations with the expected quality.The student with a theoretical learning style has preference for teaching tasks that guide him during the self-management of phytotechnical knowledge to search for solid and valuable knowledge, and the method they will use to obtain it.While a student with a pragmatic learning style could better learn the phytotechnical contents when faced with teaching tasks that offer sufficient practical and concrete indications based on real problems that give them the possibility of practicing and experimenting.It must be keeping in mind that it cannot be achieved optimal learning of the professional content of General Plant Technology if the designed teaching tasks respond to a single way of learning and other forms of cognitive complementation are not offered to the student. It is necessary that in its conception greater importance be given to the cognitive diversity that converges in the different learning scenarios, because as the student masters more styles, the fixed learning of the phytotechnical contents and therefore higher academic results will be higher.Learning styles diagnosis of the third year group of the Agroindustrial Processes Engineering career of the San Luis CUMFor Alonso (2008) "The theories of learning styles have offered a good number of diagnostic tools" (p.10), therefore, the proposal of the Honey and Alonso Questionnaire on Learning Styles (CHAEA) (Alonso, Gallego and Honey, 2005), allows through 80 questions (20 for each style) to identify the preferred styles to learn.We proceeded to evaluate the behavior of the learning styles in a sample of 17 students involved in blended management of the phytotechnical contents in the Agroindustrial Processes Engineering course at the San Luis CUM . The scores and trends obtained by each of them in the different learning styles are shown in Table 1.Tabla 1: Scores obtained by students in each Learning Style as a result of CHAEA diagnosisStudentsActive StyleReflexive styleTheoretical stylePragmatic style11116121021315111136131411410111012515201716615161814714171416817151114914121313101519141611111513141218171117131613141514121110915191918201611161491712161211Source: self madeiVBORw0KGgoAAAANSUhEUgAAAvAAAAI1CAYAAAHHhP7rAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AAI8GSURBVHhe7b1/8CVlfec7VcgYmFTibO1PN87W vVXutdzKTXb+2q2l1rvFVuKqY+ZGLbKabOlNgi6rd8k3oWJ2lJHhR2BULkHwCoYQUDOsosgCgpko yJhZBtEsRsMlOMMSQAiZKCqTKWsq1Xfe53s+3/M5zzxPn+5zuvv00+f1qnq+33O6n366++lPv8+7 n3766U2XXXbZb59MBanbpIovoHuo+CWRXcXv3r27OHHiRLFp06bRd/ufG1lG/JEjR0YV7g9AbiA1 S4KKXxJ5VbxkxdL27dKc9c/Gtm1FsWXL+Eu/IeKXBBW/JPpb8ZKMnTuLYseOiZxs3VoUzz23Pk1J rK0VxaFD65/9/5OO56T3XM/XQ/npd8QfOzb+UIIqPkOQmiWRTcUfOHBg9N9fMOUcNNlG/LPPPjuq +GuvvXY8JS+yqXiL9OdO/riq0oVte46Vn03Fq31G6R3veMd4yrTU5Fb5WUmNRbqhbX/++efH3/Kq /N5X/NrYLsZaIW3bjx8/Pvovcqn8LCJekW4Vn3I1uVV+7ys+lBdPuO1qnzf6Xvm9rnhV+ja1OJ5E ka6K3WFNBSeJbXsuld/big8j3SRmu5qDT3LLLbeMKt5LTIy+Vn4vK75MXoQqXdi251j5vav4VKVv 3rx59N8qXfhtz63ye1XxVSNdaLuVfIXmVPm9qfi6le7/51j5vaj4KpWuH1c1GZx11lnjqUXxugs/ X7zmwv2jz1deeeXov8ih8pde8fNEuvgP7//SlNToALz7so+MPos2Kn/fvn3jT5Nm6nlZasXXqfRf +IVfGP2XnfzNGx4YfbZt95WoA2BnQVuRv6WBW4lLq/h5I/3MH/2x8afp6b4SNf2T9z8+OgB9lZ2l VPw8lf7C8RPF/kOPjT4bmpe6UvX7pQPw7Hf/ZvztVJZR+Z1XfN1KV+ukKu0f/qOXjqZtVU+DMbFt T1W+It/LUEhp5VvDnHov6Aa8vuuzTb/hhvX/NZiu+HAFKdRtIoVFoJXlmCfSH/rzo8WRJ54efRaz Kl6UVb648rZvRg9Al5F/asTr1zp1ZA19V5uJKnnciDVCB0TTND9Ypk6l7927d/T/4188XLpcquLF rMo3dAB+eOJvx9+6q/xOpGaeSn/vx742Ws5aJ3WvNWTWtletfOFlaGM55VNrqAJKTsYCSsGpzlY6 +6y1VHkVpBUpr/gq2hXZiTLqVoZxxRVXjP7vPLnDtlz4X8xzkLWed137x6PPp+CaoUeVbhKsitd3 bXeVjlcB5RXve2nZ0baVa4P0X9KiiNB0d4FRxryV75dTpWnZeSv9sis+uFH2rOXaoJ7UqHIboonK n6fSVZYvb2ala5/1e2ZBJyR76iL+ve+tB+Ac9dKJxqdYtPJtmSqVruWvueORWgdrhCrV9N3cnD7r t0dnfMx8VKB2xcduOi/CIpWv/GWVd/iZ708tU7vSW2TuiG+q4sW8lZ/aduVRmtL0HlW6WKrUeOap /HDbNX3/19Yvtvpc6aI3FS/qVr7yqKLtQBh9r3TRq4oX88qOkUOli95VvPCVbxc5Iqz8cNtzqXTR y4oXVSrfb3tOlS56W/HCV37snqpte26VLnpd8aKs8rXtOVa66H3FC1/5/rPf9pwqXWRR8SJW+bbt uVW66H3Fp+6p3nDDDaMKz7HSRRYRX+WGdk6VLrKRmljl27bnVukim4oX3sOr8rXtOVa6yKriReoC Kjeyq3gRXkDlSJYVL/R8KxUPtaHil0R+Fa9bjko2GJy6lFgHowZvR7ZNXhVvlW4V76HioQr9rHhJ h3WdU58WJXv0xfospvB9HH3qGf2NeFW8dQlUxanzkPpymqRYhyLpvKYZvrJ96hlIzZKg4pcEFb8k sq54dSNUu02T3Qm7IsuKtwq3502beO60a5CaJTGqeFL3KT9xHAhU/JLIruL9CBqHajze2DeyrXj1 q6HioTZU/JLIq+L94BX+iWu1UGZ29UrELwkqfkn0s+LlVmz4FWGfw2l239Wmqc1Gy2pwUN0k6bH8 9HfLXCfVIdLfih84va/4VJOv77adI9lEvD8AuVe6yCLi7Q6T/g+h0kVWUuMrXY9Z+r7yuZGN1ISV bvjXEeVEFhGfqnQjx8rPSmrUFGzoKW/dQjNyq/xeV7yP9LDSDV/5WT3nOv7fO6zSFfF79uwZfRa+ 0o0cK7+XFe8j3V7KorclXH755aPPhpcXX/mHDx8ef+ovvat4X+k+umORLnKt/F5VfKzSJTX2OdVV L8fK703Fz4r0We/kSFX+ww8/PP7UL3pR8b7S/TBYKXlJkVPlL73iZ1W69/EejcCn9Ja9XxpPWSdV +ffff//4Uz9YasX7SveVFIt0fwDCYQ9V+X5am5XfVJfwpVV81UpXhfvWydhYkx6bn6r8e++9d/xp uSyl4puIdLXZ+MoNUd7f+Oj6+6KEX8+dd945/rQ8Oq/4OpXu8ZXumw9mXalqOVu2T5XfacXPU+mK eF/psbyPPvro+FMcnRl6AYvK8euNtXSegmROHaaEtt8/Ua7vvpNVDSYV7380YiswfA+uEM1Tt4oI 80b6aaf/yIbGh67HlzPrh9PLkg6AXkkkKlV+C1SveP+2ABG+P0QV7ivevaaoCXlJLeenz5KP8AdX 5St56eoKV9vtsGilS2rsBYsitpwvd1YlxtyO3qzmD/II224FlSVN89/DVIPy3GWFWURH3s8UMk9l vPPDD4xkwFyNWidnMc9B1ku+omeWznhfqTqbYxWv7bPPNZid2xdqlWzTrKtcBWZpaazyVSlV3Ufd SjeZSS3XNrMrvkHmqfxHnny+uOMPp5sFQupUuir7Oz/44ehzrUrXWauot6DTshXO9hSdVryYp/L1 StHfu31yMeTxlZdqYLt438OnaHitSrdhWsKK13S1ms7xSFDlit+hlTZEXfdhvPfG/z7+tI6vPF/R 9tnkJKRWpbdE5Yq39nB/Cb8I81a+3tUd4scbVqXHKtvoQ6WLzqXGM2/l+4o1x/S2K79cWuGiL5Uu llrxos4VZ1j5+r3Qf1V67IfU06dKF0uveDFv5Rt1Kt3/AC+TXlS8+OpXvzr+FCdV+TlWuuhNxYtZ 90bDys+10kWvKl7UqfwyfKXPOkDLoHcVL2b1h5lV+X2vdNHLihfzVn4OlS56W/Gibk8wX+n+oqqP 9LriRdXevzlVuuh9xYtZlZ9bpYssKl6kKt9X+jJu4c1LNhUvwh/UXCtdZFXxIuZmZrXx95HsKl74 ys+x0kWWFS/0cHGulS6yrfjcoeKXRD4Vbz3Xwi4m9tn1XMuBfCpedtGNsnpKxTtrmQP5VPzA6G/F q8+KIlkSo2hWp1mL8jAJnQ2+I21DvSHaYrzVPULdAsOKVcWH03wSqnh99h2M9HnODkdtM95q6Boq fklQ8Usiy4r3g/fnSpYVr2eilNZOuhh7Pio3kJolwXugYKUg4GGlIOBhpSDgO8Cu9nTBsX08ToE9 UJbrRUiuEPBLgCBfHgQ8rBQEfFuEQ0t4VZ81MAG/AK1BwLeFBbz+K4AtiOXhbbQhm2foLTM2zU6K nTvX/0MjEPCwUhDwdZjXanjFDvGd3jyxdamPl34ZKg7/BqdCwFdFgakgVLKg84HsA1S2RfltoEaf T02U4ybJjXzhC/P8uvxgjz7gNU/L2yhp41fXQDkEPKwUBPyCbNu2bWM0wt1zDmMO3UHAN4AfflM3 lfyY0zuDVhY9+a+hGFTvuYxxMSQI+I6wQDd8vRP43UHAN0DM0pjKn3/++dHBdWL1TuC3DwG/IPLw 1jdG/9VRTMEuRY/1mbERRlTvGu5Fo46EEPjtQcA3TGhdjHAoHV/vCvrYQFMEfvMQ8A0gS6NA/8mf /MlTVP3FL37x+NM0sXon8NuHgF+QmKLL5qTGXrTBja3eU4Ef+5Ug8BeHgJ+TlHWZFehGWO+x45Ba B4E/PwR8TWJBKEujIDx06NCGpbFWmle96lWj/x75edV77IKVwG8XAr4idYJOJ0DsvQz+wtXqPdVS kzousdcWEPjVIeBnkAp0H9DWDn/s2LHSpkhPWO8EfjcQ8AmqBLrhFd13K1Cgb7XejA7VuVLM79cN /Nj7sQj8NAR8QCrQU2+mm2VdPL6u/edYgBL47UDAj5k30H1vSQW6vUhb5Ql9j9Wx3ja7/2tPj7+t Ezt5CPxmWfmAb0LR/c0lWRizNRdddNHGODSGAv2Nl35xFLAWiJpmSTQR+LE3EHcZ+DYWj65rPDYe z7JY2YBPBXqqPua1LoaC+R1Xf3n8bTpPGIhSfjsBzr364HjqOjkEvi7clbSd+q+TXiPf+nnLYuUC vo1AN0ujMmRxPAraS//gofG3CbH1pQJReXfu+cLGSfDIk8/XDvw777xz/GlCl4rfF1Ym4NtS9LC3 pNKjj31rFJgxJbOWGa1XAavADSkLfI+dAEohBH6cwQd8l9blOz/44Sj4HvzG4+MpE8Kg8stqG+u0 q8e2XSfOR+9+ZOMEuOJTfzqantrPW2+9dfxpwtyBH7Mo/o03wXXMBif3u2sGG/BdBvqZZ545CrJv PPYXG/bGLlz/9b/+16P/IantqNPKEisjtDp2AijphAyJ7WPtwLeA1z7bfQhdtCqgddGqgFcezbOL WH0f+/qN0Rg6IB7w2hjbQENnbLgDqlgbYSvcAT8Oi75rvtB/+VyVpec9bRl99utU4Oi7rdP++/VE RuXqMtDt4vLJp58ZT1lHNmfW+mx+Kl8d6xErI+Xx33fp+6dOAqORwM+A7hU+9fNWFTtxAtoM9LCJ 8srbvjkKlkXWF+ZLLVcnEGNlVLm4vXjfwxsnwK998NPjqROi60sch5mYsMWYt8waDMbSxG7TNx0Y 4m1XfnkUGH59ZmO0vufsF2+MLlxj64tNi7X9d3kiCwt8Jc/U+hSYSv6X3Kb5z/5X2eb5gFddaXl9 t3z2ytJxnTbN/AFvtkIbZxton/30MNkOWh5fKapA2+E56Srw3/uxr42CIhZMm7UfEXwZqc9GF4Hu g/t/Pvu9WuvbwFvXRYlY1KZZPOCFD2ALYgtgm2dBrWDSyWHfLeAV6HrqX/NtmQXowgoI8/Gfuf2u 8ZQJqfVpusqJrbetQL/mjlNbcETd9VVGxzB1MtgxXwKDsTQpugr8Z7/7N6Ng+tRd942nTIitL1w+ FXh1ujjYvlrzqKXYfjUW6ApsEyj7rAYOiZcCXo0QNl2fJXYW8CaISrZ8yww+4I22Wj1ieRVkH9w3 3SVA+PXZcqnAiwW0iE33wf3DE387nhrfttYUPRNaCXjfQUjt0f5CLnb3sUu6Dvxzr4r3ZVH+WOCl tsUC/Z0ffmAjuN9zze2jaSGxbVn1QDdaCXi7xa5KtgDXfwW//oc9CJdB14H/cxf90fjbOmG+2LoP /tlfbgT3my67dzw1fTEaWzeBPs3KWJoUdXoTxuqqbuArCZvvW5VsvlLVi1ERWxeBHmflA95YRuBb eujPj47nVG91EQR6fQj4gK4CP/zeVqCnWnlWFQI+QZ1OXLGgmhX49p9A7xYCfgZtB76niUCPnUAw gYCvSJ3AjwVdGPi+3gn07iDga1LnQY2ywFe9E+jdQ8DPSZ3Aj02P1XudQE+tC8oh4Bdk3sD39U6g dwcB3wB1g1M3m1TvBHr3EPANUidYw3pPLRvr3w/zQ8C3gIJXF6chMUtDoHcLAd8iao1JBb7qnUDv HgK+A2KBH9Z7qokSmoWA7xB/88nqnUDvFgJ+CSjwqfflQMDDSkHAt4EuPPWklx9f0bDhTFJ0MFTF KkPAt0E4hIkC38aqsWEKLejD/zZQkVIwqBMsDgEPKwUB3zZNjaXouhaPqLMsbEDAV8He6qHgtdG0 zHb4zyfcsIE2zwe8+XN9t3w2tKAfnm/8fqTRdEv+u33WsvbZ/4ckBHxdmhxLkQDtHAIeVgoCHlYK Ah5WCgK+Q+xlvcKGILRxOO07tAsBv0TszSHQHQr4/66gJ5FWIY0UnkRalYRxhJWBgIeVgoCHlYKA h5WCgIeVgoBvGd1UshtKO3fuLHa4jmf2zqtjS3pf6SpCwHeABbyC3d9Ntc/+7iu0CwHfAT6w18aP /ukOqyk8dAcBDysFAQ8rBQEPKwUBDysFAd8WrjVmAz8oU9mr9/UgOLQCAd8WCngl3wqjgLd2eBuM SfgTQdMs4HfvXh/BDBqDgG8LC2YFvAW92tvDgNc8f+NJ02zUMg3bgdo3CgEPKwUBDysFAQ8rBQFf B/lp8+Z1MB+eapmJPcgdW9d4dIO5tgFGEPB18BeU+qzBTTWctQWgWlv02S5MbUxJW8YCXv81z8ar tAtYf4Hql9NnrcsHvI0pacNwW1lQCgFfBwWakpoL9V8o4BS8fmTfsCXGK7wtp//+RLDphr4r+XX5 gFeZb3/7+neaLytDwM9LGKCLoICHTiDgYaUg4GGlIOAbQK+OF+HDHFvtwhJ6AwHfABbwxm5dRM5A Fc8r5ruHgG8AC3h7fE9sP3khqsC3kYE9qnSDoO8WAr5jfLAbBH13EPAdEgt2g6DvBgK+AexiVf81 EoEfZ8ZGLCgLdoOgbx8CvgFSrTQaeEmcd955o/9VIOjbhYBvgLCVxgJd/1XBz0VeH3/llVcmVZ+g bw8CvgFkW2xQJbMwaqXZs2fPxnePgt0g6LuFgG+JVCD7YDcI+u4g4FugTrAbBH03EPANsGvXrvEn dU3fPP403bWgLNgNgr59CPgGsIvWSy65ZPTfozut11577fjbhFtuuaU47vvQjyHo24WAbwAFfCpQ U8Eunn/+eYK+Ywj4Bpgn2A2CvlsI+AVZJNgNgr47CPgFaCLYDYK+Gwj4OfGB6O+0vv71rx9/Wr/5 JK6//vrR/1kQ9O1DwM9BGIAW8G9729tG/w11LZCyH/KDpY5JdS0g6NuFgK9JLPAU8GHgSd31HqdY 8M7qWkDQtwcBX4M6AZfy7FW7FhD07UDAV6StYDcI+m4g4CuQCjALbOsRqYDzwd5E1wKCvlkI+BnM CnZhF62a5oNTAa+TIRbsvmXHQ9C3CwFfQpVgFwpeP80eABGpYH/22Wej7fWCoG8PAj5B1WAXsWl6 63ZZsBupwCTo24GAj5AKoFtvvXX8aUIs2EUs2BWsPtgNgr47CPiAVODceeed408T6ga7gjUFQd8N BLxj3mD3F6AKdnto27oWPPnkk6cE+3s/9rXiNRfuH39bJ3UCEfTNQcCPmTfYhQW8KbuNS6OLVwVm ONzeOz/8wCjYffrOD344mkfQtwsBf5JFgl0o4BXs28avnVHAS91f8pKXFN/97ndH04y3XfnlKWVX EF552zc3Av+aOx4ZRNDbvYnYqA2xaV2x8gGfCox77713/GlCKhBjnj0WiG+67N6pYDcsCKXyFvix fCKXoPdBrfXFRmNbBisd8KmAuP/++8efJtQJdrXEeF8vdu75QjKIRRiEPvB/eOJvx1PX6XvQ2/g8 +pXTfwtwdaazm3H+BOiSlQ34JoPdD7Gng2nBbgfXAncWsSB81+9MAv/G/Y+Np/Y/6ENCAVgWKxnw TQa7sINpym7qpYCvGuxGLAi1XU/+1QsbZVl5dYJ+796940/TdBn0fWDlAr7pYBcK8sOHD48+28+3 KAt2lZHallTQGz7wCfp6rFTApwLs4YcfHn+aUMezK8iV9AYQ/debP378H728OP1HfnTqBDB8H5o6 QR9u59r1D24E/m0HnxhPXYegj7MyAd9WsMeWtyCMEeswtkjQi0eefH5jnWoJMgj6U1mJgO9LsJcF 1KJBL1SGrd+2obOgD4cE979s9mbyGJFfwDYZfMB3Eew2tqQFml20+nEmU2V76gS9XTOEWBl2g0vp v/3xt6JBH9svMVfQK3D9a/L9fwW8tWTZdP99fMOu2LJl/X+LDDrg2wr28AJXF60WXL75zV5fefnl l4/+e7S+WBA2GfTi4J/95ca2vfmK+8ZTJzQW9Kbw+q8gDgNe9WLzhPbdvtsvgHuOoC3SAa8NcQp1 yg6ksHwhqemzUCWEy4Y/nxFSgRMLkkWCXfy799wzCijhb6hI4cu6J6TsRt2g9yeZESvDAt+21WhU 6XtOecDbT9QrXzkJOv23M1bjrdh0fwbb+0rtjLXOU5pvJ4t+vmxZnVhWpgW4P+stn/1XUNkyEboM 9lgAGVWaOpsI+tidXRErQ+uT0tt26xdArErQpwPeq6gCzQedAq2KJzNseVtWKGBt2fFP/yjgFcya bg9AW8D7HofKY8sEtBXsMaUuC/Y6tqmJC8u6Qa/17f/a0xv7cO7VB1ci6NMB3xYJVa6Fsw2eHIPd SAV9nSBU0Ff9tQjXZ/uT2qdT1qfvkRHVZqLjr/XGbKlO2HnKrEH3Ad8Sywx2U1YF0Nlnnz36LGyY jlnBbqSCPvWwdyzoU2VUCXphPTqVwk5rU+uzX2z/WfWg/ypT/83yKoX57Jd8377pPDbdvjfMYAK+ y6BQMLx+9z3jb5OAFz/1Uz81/jTh6NGjU3lSxLokiy5P5nff+NBGwOuGlmdqfT4o9WSX6tn2USe6 5vnrNAWyglsK7wNe+LJ6HfCLbJh23mho57oO+tdd+PnRZx/MO04eUK1PXWPVLGlPO8WC0xOzQaKr YLcgV4oxtT5vS3UtpYDXMfQntR1T+2+BbCeGfbeGEZ9P5dv3hlks4HUG2w5oA/2G+p2wz7HvlnTR q/9+/hzUCfp5LvQ8ZQESW18qqFMnQyrYF72PYMH+9ce/s7EP6q9f5+SaQgHfBHMe8zosHvDCgsYC PvxZsu/+zFaylhd9tlYZP21O6l7odRn0obKqzKrrF00Eu1pkbLvvevDJ0fS5gz0zmg14BYOmVQ14 EX62/8q3AH0OegtQlfPCCy+MPntSwVelXd+I7b9tZ7itrQS76lPKn1J/O9Yds1jAl+EDeUn0Oehl vbTOkKaD/b6vP7OxbW/Z+6Xx1AmNBLtaY+zei4653YDUPRQLeH33v96WhPLIHfg7+y3RXsD3hDpB /8QT033KjbaCPiQVfPv3n1rmrGBXcNv2fOST9Vp/UtcaSRS4uvi06zAlOwEUzDbN35nXf9WJ1aEa MfzNxZYYfMCLOkFf5wKyyaBPBV+s6bAs2G39tg2xXwbRWLCLUOGVfMBbM6XVlW+u9P/tc4usRMCL Orfpuw76RYNdTzvZOnVBaqSCt9Fgz4zWAt4ebdN/G3JOyCdrZN1l0MegTwVfLLDDaTb0h1J4k4hg j9N6wIvwuc5lBbzoMujLxqLR+uYJdt3utyBXitk1gj1NJwFvQ9AZywx4USfo6wRPLOhTo42liG2D gv36ux/dCHINxCqaCPaUxx8qrQS8H11K/3ePu/La91Dxl0GXQW+Dp84itm4LcqVnv/s346nxYK/z iyRWLdhFKwGfC10GfWx4bI/vEjFrjEmCfX5WOuBFKiDaCHobJTjEgt2PIvyuK09toREE+2KsfMCL OkFfp107FvT2lJH1NVcAW5ArvXB8+gVpHoJ9cQj4MV0G/UN/fnQqyJUMgr1dCHhHl0F/+JnvT40G LOoEe52+PyJ2E2sVIeADugx6D8HeDQR8hDpBnwqmOkFPsHcHAZ+gq6An2LuFgC+h7aCvE+ypXweC vR4E/AzaDPoYBHu7EPAVqBP0KdVOleFpIthT64d1CPiKtB30BHs3EPA1aCvoY8GuQK/zgDfBXg0C viZNB30q2GMen2BfHAJ+DuoE/U033TT+NI3KINi7h4CfkzpBH5sWo26wVy0XJhDwC9Bk0OuGEsHe PgT8gjQR9Ar2OoMyEezzQ8A3wCJBT7B3CwHfEHUC1J5wIti7h4BvkLpBT7B3DwHfMIsEbGpZ/4A3 LAYB3wLzBD3B3g0EfEvUCXqCvTsI+BapEvQEe7cQ8C1TFvQEe/cQ8B2QCuwYsf410BwEfEdUCXqC vX0I+A4pC3qCvRsI+I6JBT3B3h0E/BLwQU+wdwsBvyRU8QR79xDwsFIQ8LBSEPCwUhDwbaH3WMXe ZaUXvGl8yGPHxhMC9Ap2aA0Cvi30tmmhALbgV9J3C/jwpPDf9X/z5vXP0BgEfFtYwAsF74ED6599 wOv1nTZd6LvmHzkyHfzQGAR8W1jAqmekBb+++4CXvXFvKd/Ib5+X/D7bIULAw0pBwMNKQcC3jbcw MZ57bvyhArI5RlmZkISAr4qCzQJOr9LXZwXd2tr6NJvn8+l/2CojX67/49fxj6arjPAi17DPKket NrZOK1PTVZbNh1II+KooqHSRKXShqYtLBZ3YunU9MBVwFqAKRmt1seC05ZXH5/PfhX325VqLjq3T yrQTx+ZDKQR8FdwzqMWhQ5MAteCzZsSdOyfB6gPZglOf7dchls+wz2G5SmHA23RLUAoBPw++KXER CNDOIeBhpSDgYaUg4GGlIOBhpSDgYaUg4GGlIOA7ZJNrhvTjS9r0Q2rjh1Yh4DvEB/wO3YEdY9P3 0R24dQj4jjhy5MgosLdv3z76b0G+ZcuWqe/QLgT8EtE7nqBbCHhYKUYBrz8k0qqkUcADAMCwQOAB AAYKAg8AMFAQeACAgYLAAwAMFAQeskf979TR1Pes1qMG1gH1mIbuCbBllJ6rM9IhQEYg8DAIQoE3 tm7dOnrawGNPJRipZQFyB4GHQZAS6ePHj5/i0g8cOHCKwPMgMQwRBB6yxty4JT0rLPRwvE0z1tbW Nuab8CvFmnAAhgACDwAwUBB4AICBgsADAAwUBB7yQm3qlqq8i1avB7VeNBq0dt6X0GkoRK0TICMQ eMgLiazvt27CqyQh14vJ7bteaetF3X+29zxbSuHzWL7jx6en0QMHegoCD3khQQ0fTNJL9jXdHL0X 3ZjAW35Dn2P94H0+7+DDH4egnz1AX0DgIS+8sCr5aSb8Jsy7d6cdvHfhZd0k9fIt5dEPgP4bKsuW B+gpCDwAwEBB4AEABgoCD8PAt5H7ppgq6MZsm+3otm08MQsdg8BDO6jtWr1YJGx2A9OE7siR9f9q IxcSZGvjtnZ0ffbflUf5bbph7e033zyZbgJv6/HLWJu6fRcSeP+DYPPDm7kitl/C9+YR9lnJ5n3v e+v//T75+wOaV6XrJ0BFEHhoHruBGX4Onaw+SyQlbhJNEYqyknrEeDE0QU71cvF5/fqF70YZlpda t5HaL1vOo20zsfb7rR8ITffL67/9WPh9AlgQBB6aRwLlhVECKlHzLteS8AIvYn3UYwIvfL4wr4ml JRNVS7HyyvrH63tsv4RfRmLt1xX+sNk6rKxwO/06ABYAgYfuCIWuD1iTjTUXAQwIBB4AYKAg8NAL NC67f/OSxnnfXeKq9aYmACgHgYdeoHekhgJvL+TY6dvnx0jgbX4dtJ4nnnhi/A1g2CDw0AtCgfdI 7GMib1Rx8ypfcf7ss8+O/l977bWFXswNMGQQeMgGvUu17suxvbAbPt4RehgyCDwMkpiwG7F4R+hh iCDwMCjKhN0oi3eEHoYEAg9LZ21trdi1a1etXjSb3SP9aoOvIuxGlXhH6GEIIPDQCyTQqZus6inz nBsXxou/ljvrrLOKu+++e/R9Frfccsso6I/rSdMKIPSQMwg89IIygZfAhjdX5eAVt3LsVXrRSNiv vPLK0Wct9/zzzyP0MHgQeMiGbdu21WqKEV7YDR/vCD0MGQQesqAJYTdi8S6B13QJfhUQesgBBB56 gdrVY000991336gNPhR2/yTrdhsJ8iRlwm6UxTtCD0MCgYdeELbB283Txx9/PDocQdjuLpGV2Fah Srwj9DAEEHjoBSbw1hTzj//xPx7PWe9Fk0KieuaZZ46/lWPuXuUrVWl3R+ghZxS7CDwsFd08teaW mJjbNDXjWHOMRD2VPyRstrF4r3OD1YT+6NGj4ynlIPTQBxB4WCp1b57WaYpJtceH8V5H6OtuL0IP y0SxisBD5yxD2I1UvCP0MDQUowg8dEZKGNXUEutF83f+zt+JNsOoWUdPt6o8G7agSg8aMSveEXoY CopNBB5aZ5YQar4XeAmhCXso8OH48K997WuL888/f/ytHP0IVBVvhB5yRzGJwENrVBU+E3gTPol6 mAwJrm62mmPfsWNHcWzGi7y9u9f21BHveYT+8OHD4ynlIPTQJopFBB4apw1Hay/8qNoUI2J5fby3 JfRCeRF6WCaKQQQeGqPNpopFhd2IxTtCD0NEsYfAw8LUFXaJr0S4Ck0Ju1EW7wg9DAnFHAIPc9OE sNsokWEvGhNrtbH78eBFOFRBnR+BKvGO0MMQUKwh8FCbph27F/hQrHWDNXUTVXn9DdgybJuVqopm 20L/8MMPj7+Vg9DDPCjGEHioTNPCbqjcF7/4xRvCLldvyK1L4P1QBW984xtHeXXj1XeZjBFus8W7 RFOpCgg95IhiC4GHmbQl7CJ07Cnk8KvmFaltDuNdgonQwxBRTCHwkKSusO/du7e48847x9/KqSPW dfJKULXNEtgYqXhH6GFoKJYQeDiFroVd7ej+JqtES80yyhtrY48NVTBL2I1Z8f6JT3yi8o8JQg99 RjGEwMMGy3LsWq8XeMsrMTQBN8KhCt71rncV55133kxhf+eHHyhec+H+U9KVt31znGOaOlcNbQv9 /fffP/5WDkIPHsUOAg9Lb4oxgY/lDQVdwqibrSaUGoumbKiCc68+uCHmb7z0i6NlJIQf+eiNxVv2 fmlK7C3d9/Vnxksj9H1A8aErOSU9zWzYNKXQCAh1sbX5q4hiBoFfYZYt7EaVvDZUQVVhfNuVX94Q 7P/w/i+Np64HvREK4f6vPT0l9JZU1mduv2u0/1VA6NtBQp0S+PBZCUNxg8DDSlFX2OuIStPCbmhb tR2zhPBNl927IczvuPrL46kTYvFeJoRXfOpPp8Te0vV3PzrOkQahb5ZQ4A3VmebFruQQ+EjAwzDJ Wdi17WXs3POFDfFdu+7geOqplMV7FSF89rt/M/Uj4tPXH//OONc0CH136AZ87EdgFVFsIPArQJ+F fW1trdi1a9fUTVZhwq4TNnRmfqgCL7Dv+f0Hx1PTVIn3OkKoenrXno9ObYcl3dj1tCn0dZrPVkHo AYEfPLk4dm2nCbzGadF2aJqfHiIB/Zdv/X+K007/keLSP3hoPLUcbYfKriqadYXen0vv/djXThF8 pU/e/zhCD52guEHgB0guwm5oe88888zRdhipNlUvltfd8fVK7at+O7QOiaX+SzyrsIjQG4ef+f5U M5Kl1134+eJbT/31OFcahB7qonhB4AfEPMJe9WGaNoRdmGMv44cn/rY448f//oYofvq+R8ZzypFo Sbw8fl0m9FXrq44Qql5n7dfHv3h4Suwtyf2nQOihKooTBH4A5CjsVQTwheMnpoRv/6HHxnPKKROq 2Drr1l/TQm88d/Q7xRt23zG1z5buevDJca51Bif0uhKzFOnTfgrab+VV98gdO4piPBBdZU4e89Hy A0bxgcBnzFCEXQ8z+bZ29VRR04vST7/hvxQPfuPx8ZwJNt/3f9Y2zBKmWfGu+W2M115H6L14P/Tn R6OCr5483/nBD2sLvepIx6sKnQq9xNb3ZTcBVlJsrK1NvuvBN5uvZjwv8LoBb/mUQvw8m28/FpYO HVqfnjmKCwQ+Q4bm2LU/Eni1U3sR+8Zjf3FKL5rwyVb1wjn//PMri1bVeK9TZ3WEsEqTlJES72vu eGSqniy99aJ9+Qq9hDV8WOnAgfXp5ui9+MYE3vIb+uy7TPr5trwIfxQSN/ZzQ7HTnsCnfmGr4g9A H9E+hU4ihuYlnrKrS47Cnrrp6Dn0yLOj3jAmVEeeeHo0PXYD1Qu8mh30OfUUo8e2WduiVFUIlffg wXS/ek/XQm+oKcs/ueuTH3YhRm+EXsfaJz/Njq8J9O7daX3xbjx2Tmr7NU/Cr/+GyrDlBoJiprrA a8fDE8kqRZVV9RLKpivFLoXsIN588/p/w8pP/bpqXvgLrvUqGOwXWtj6VZ6VFZZteXxAGfqupLLD /fROwJyDzROz9iHBPMJetZlhmcKuoQF089SaW0zQ5cr9tN0n61/Cbi/82LNnz1T+MsJttm2q27Sh vFV7GtURwqeeempUto7xLOps8+ceiN/A1Q+BfhBCeiP00BiKlcUEXtP8dH3u4hIqvAmjNwCZCOvz 2OFN/bDYL7cvV8TK9tsu7LP+2/bGBF749QubN2sfIuQo7Pfcc89oO8oIe4/U2b9Fu3OG21ZX6Nu6 Wak60HY0LfQ+b2rYBTX5GAj9cNBxryfwPp10VBufzZFK3PS9zMHbMkoxkfPzlYRfl5IXUAVYWI7y 6IdG6/XLSZxtu4xY2aFo22f7kUjl9fPsB8fmle1DQI7CLtGT+JWh8Vu8sNTZv6aamlLxXlfo2xLC LoTeKBt24eKrbqy8zQh9P9HxHvZNVv/DsgxMzCsyVGHXmOtePML9U1NL+MSqBEPTv/KVr4ynTPBD FRhVt3lWvPdF6BcV7xSz8qo7pj9WljTsgp5HKGPm/um4vfnNtZso58auslcUHedhC3xG2E23oSUv ErH5SpdccsnJi7DNp0x/xSteMRqnJpx+xhlnjMRfKZxHaj7tuPDuqeOop29j+Xw6Bd1/8lfxvqnT N6P6JlJr+vVNsMqjHwh/5Szss35ELK8JfJhXZeh7SKy82LozQccBge8ZdVxeDo5Q+B4er999zymO V1cusTFnfvInf7K46qqrxt/imJu3po1ZzMpT5eawMcQrrtSQCkqPPDn7dYjR/VNseEG17xJQa0YV OpYSexNkQ3msGVbzyppRJcgWS5oW5tV8f1Wv6fqxsSbUsLzYujNBx6N7gfe9V1TZYft5F+hm7jLW W4O2hb6LNt6QcACuOk0b7373u0+eh+6GfIKy/vYiNc+uoKowFGFXk0vqVYbn7bmxlf07Be/g+0L4 45EpOi7LEXhVniVd/liFhr10hFW0fmFNlBUU4U1Mf1BSB8imeYH3efWD43+h7Vfd0OeOn3Jrq43X HO8yhD5sk//sZz87nlNOnf1LOfFwWlXnL+YR9mU/h+CFPbzJbcnGvmnzhwu6R8dnuQ7eMJE19Dm8 bJIox9q/bL7/7EU7VZY+C5/XX47ps83TD094CdcxQxT62w4+MSU0n/1vzXc/1I+HF0OL9xdeeKHy vuQo7Nd/Mt7Mol4z6j3jQdiHiY5TPm3w/iaNTm4T6BVjiEIfjrdy+533jOeUU2f/lE/5tS1K2q5Z zCN8i/bTjzErr8akST3JqofJUvRC2HUe+1R2heyvsOs27SiuVf6SDNoy0PHiJmumtC30VWha6MOx aD51133jOeXU2b8q+9Z3YQ+buCxpLJoqzLN/Va9IauNFXZ/tPotNN2EWEnjfQ8YEPpZX/5U3nCeB 9z1tbL6/etd6Yq0FmaHjhsBnTltCL6dWNTaaFvpwmODf/0xzQl+2T3WFT23bauOuwrzCLgfu68KS DTnQdq+f1oTdCAVYzaGKDX0OiQl8Wd5XvGJ9nkTdC7x9fvvbJz8SXvQVQz3vhFEFHT8EfiAMUejV y8OL2u/dPv2O0xRl+xfbl74I++9+7JOjbqR+ny2pGcuTvbBD6+g4IvADo4745CL0wovde3/vy+Op 5cT2z+9DXeGr8yNaRdjffeNDU/tl6cb96RebSHirHgeEfbXR8cxC4PXE4oEDB0b/jR26RDuJgljT wz7Syr/75CVXbN4qsApC/+vX1Rd6rWMZwp56Pd+/v+j2cY5yEHaoi45rNg4+FHgTdkuxFzSLVRV4 oy2hryM4bQi9f9rybR/80nhqOdo/lV1V+OrUhxf2rz/+nSkRt6RtfvKvXqjk7g2EHeZFxzdbgfcD Tmm6vQRCn/0LIFZd4I2hCr3vHvjGS784npqmyrbW2f+bP/Ffize+784pIbcUvke1T8JetdcP5IuO 86Da4HVS+te5wakMVej9I/c/d9EfjaeeStk2al+1z2WkXpensdZT1BH2Ok1gCDuUoePNTdYVRUJf 9WTPSejDPuIhsW1LCbted+fLsrRz9+dGDxfNAmGHZaLjjsCvOHVO/jpCrzKrxlYbQh/e1DT8NnkB lmC/Ze+XppaxJKGvI9YIO/QBHX8EHkbUEYOchD58UOjiy/aOBPitl3xmarol//o6gbBDrigOEHiY oo445CT04TAISudefTD5lqK2hF0iXbUe6gq7mt327z+1WQpWE8UOAg9RFBdDFPpZ625b2CXas5hH 2KveOIfVQTGEwEMpio82hP7ee+8dCVMVmhT6VLwj7DA0FEsIPFRCcVL1oZg6Qi+B6lLow3hH2GGo KKYQeKiF4iVnobd4b0vYbX0IOywbxRYCD3OhuMlR6JXaFPYq24KwQxcoxhB4WAjFT05CXyXe+yLs 2gZtC8A8KNYQeGgExVEbQt+02JbFO8IOQ0Ixh8BDoyievvnNb46/lbMMoY/Fe52y23xZN8IOTaLY Q+ChFRRXelqzCl0KvY/3OmWpDC2rMmeBsEMfUAwi8NAqiq8+Cb3+I+ywCigWEXjoBMVZG0KvfMpf BRP6KrQp7NpehB3aRjGJwEOnKN6WKfSz4r1tYa+6PwCLothE4GEpKO6WIfSpeK8j1gg75IBiFIGH pdKWUKaEPox3hB2GimIVgYel06Zwhnkt3hF2GDqKWQQeekMXQq/yq64DYYecUewi8NA72hTWKvFe d/1at7YBoE8g8NBr2hD6snhH2GFIIPCQBU0KfSzeEXYYIgg8ZEWdPuoiJvQ+3hF2GDIIPGTJIkKv 5RB2WAUQeMiaeYQeYYdVAYGHQVBH6KvEe53ByAD6CgIPg6KK0JfFO8IOQwKBh0FiQq//IbF4R9hh iCDwMGjk5EOh9/GOsMOQQeBhJfBCr/8IO6wCCDysFBL6/fv3j78BDBsEHgBgoCDwAAADBYEHABgo CDzkw9paUWzZMv6S4MCBoti8efzFceJEUWzaVBTHjo0nVGTHjqLYuXP8BSAvEHjIBwm8RNqS2Lp1 WoBDgZdAb98+LfBaZvfu9fkanyb8QfDzTeDVzdLWKfT5uefGXwD6CQIP+RBz8C972fp/ifK+fesC 74U4JvCaZuVoOc33bNs2ma9lJPC2/KFD69NVBkDPQeABAAYKAg8AMFAQeACAgYLAQ7OobVpt1XaT sm3sJug8vWSUf9aNUrXHK59Ps5ZRntR2zNubB2AOEHhoDt+DxQuhib6wG5gmdNYDRjdQbdlQtPX5 yJFJGZqfuglqwum/K7+wnjCWxz7H1h2ivLqJa8SW0X+bltpPv12+jJe/PL48wAIg8NAcEq4wCQmX 9VQxUTOhMyRooesPRds+x7ox+rxhTxp9NnGOlRdbd4gvQ8SWiXW/DPfTb6fy+x+T2PIAC4DAQ/t4 ge8TXuwBBggCDwAwUBB4AICBgsADAAwUBB4AYKAg8AAAAwWBBwAYKAg8DIoTJ04UmzZtGqV9437r fprSlsgDRNu2bduYv5n+5zAQEHgYJBJqE3ixY8eODQE/FvR9P3DgwGi6ES4LkCsIPAySlEgfP358 NO85N57MkSNHThF4Px8gVxB4WFnULINThyGDwAMADBQEHgBgoGwIPIlEIpEGl27EwQMADBBpOwIP ADBAEHgAgIGCwAMADBQEHgBgoCDwAAADBYEHABgoCDwAwEBB4AEABgoCDwAwUBB4yB4b692j70rb t28fT5nGlom9/ANgKCDwkDUS6fCFHRJvYW9yCocEXltb23hr09atW5M/AgC5g8BD9oQCb9iLPMKX d0jUTfRvuOGG6LIAQwCBh+wJBT58B2v4ij5NM4FP/TgADAEEHrKnTKT11qawnV15d+/ePfosB89L tmGoIPCQPaHAqwnG0PSdO3dufFZzjdrofRu8zQcYGgg8ZI0EWsJtSc0xvonGnLqw+ULOXt+5wQpD BoGHlUBNMTh1WDUQeACAgYLAAwAMFAQeAGCgIPAAAAMFgQcAGCgIPADAQEHgIR9uuEGd2Sfp0KHx jATHj6/n01g0J06sfw6GLaiMBjCjmyVkBgIP+bC2VhSzhvc9cKAoYkMPIPCwgiDwkA8xgZfwmqOX U7fPSl7U/ecjR6bzBcMJb6AfC5/PBH7btsk0xrGBHoPAQz5I4L3gCo074521d/ApgdcyNoSBmn1S Iu3zmYO3Zh9Dn4PhiAH6AgIP+ZBqopHIKqlNvorA67+5dnPpMXw+E/jQ/Ssh8NBTEHjIh5jAv+xl 6//ltiXGXrBTAi+xtnK0XGrAMTXFWD4tK4G3cuwGr8oC6CkIPORD2ItGgm7TvPDb/JTAC2tHnzWa pJWl9VhTkJWllGq/B+gBCDwAwEBB4AEABgoCDwAwUBB4AICBgsADAAwUBB6GgfVTD3vLVEH52+zL rm3j3a+wBBB4aAeJmoTTvfS6VboS+Kr7pTy+rzwCD0sAgYd2kMCFT4lK6CSMerjIppsg+4eYbEgC +255rDwvrvquFBN4W4+S9Ve372EZ9oMQrjtE82JPv3rhtzKUtE0m8Pof7pPWa5+VZo2QCVADBB6a RwJowwVItMwdmwgKe0rUxM0eIpI42rKhaOuzDRVg800wbb4XTuG/K7+w8WQsj32OrduT2i+/3Mtf vv5f80MH77fdxsCx7VNeP7wxQAMg8NA8Em9zyPpsQmlCJ+wJVBM4w7tuJS+CoSDrfzhWTJjXr19o nqWwvNi6Pan90nL+ikBo+VgTjU23ssKrAX3m6VhoCAQemkciFSbhhc5cbyjwXkSNlMB7YY0JfJl4 xsqLrdujfGES2g7/IyI0Lybw9lnztU7v6oVfDmBBEHhoFmt68JhoSdz02ZLENhT4cLTGmCu3z3YV kMrr50m4JeB+WlhebN1G2X7ZD4klYetSGV7gbR2+LL9suA6ABUDgoTu80PUJCauJPcCAQOChO/oo 8OacAQYIAg8AMFAQeACAgYLAAwAMFAQels4NN9xQbNq0qXjOPeCzVV0PExw5cqTYXdadEQBGIPCw VI4fP17s27ev2LFjBwIP0DAIPPSCmMDL1SuFSOBt3s7wAaMZHD58ePSjArAKIPDQC0KB98RE3jhw 4EBlN3/LLbeMAl4JkYdVAIGHXlAm8LOaa6q4eIn7lVdeOQr4559/HpGHlQCBh14QCry5cjl0E3AJ /bFjx4o1jWMzpszdGybuwmIdkYdVAIGHbKgi5iFe3IWPdUQehg4CD1mgrpSpJpwUobiLMNYReRgy CDwMkpi4i1isI/IwVBB4GBwpcRepWEfkYYgg8DAoysRdlMU6Ig9DA4GHXqAeMqkHnbZHhhhWTxrN 2+Jejj1L3MWsWEfkYUgg8LB0JNR1hirQDddD49faWT/4KuIuqsQ6Ig9DAYGHXlBH4MN5L3rRiyqJ u6ga64g8DAEEHnpB6klWPejkm2GEF3g599NOO238rZwTJ06MAl5XAFVA5CF3EHjoBXWGKrDv1iwT /gDEMHFXuvbaaxF5WAkQeOgFZQIfPsGqG6yXXHLJSNyrDB1s4v7ss8+O/gtEHlYBBB6WikTTesso +XFnbJqhaRqLRs7d5s8aaMyLu/CxjsjD0EHgIQskrHV6y4hQ3EUY64g8DBkEHrJhUXEXsVi/7rrr RkJfBUQecgKBhyxoQtxFKtbl4hF5GBoIPPSepsRdlMU6Ig9DA4GHXqCbprFeNLqR+ku/9Evjb+v4 d7Iq6carmCXuYlasI/IwJBB4WDoS6Vg3ybe//e3FW9/61mLfvn3jKevEukZWEXdRJdYReRgKCDz0 glDg1SzzEz/xE6MnWWcJvMRVMXz06NHxlDRVYx2RhyGAwEMv8AIvcf9n/+yfjZpeYgLvkfvftWvX SGRnYS5f4l0FRB5yB4GHXmACL3Hfu3fvxgNMZQIvMb3ggguK1772teMpaUzclSTaiDysAgg89AIJ /PXXX39Kb5mUwFuzzDXXXFPq8IVvn7dYR+RhFVAsIvCwNCSEvkdMOPSAF3gbquCRRx7ZyF9H3IWP dUQehg4CD0unSj93iaXE35x7nTZ337MmjPU6Il+nPz4iD31AMYjAw9KoI5qLiruIxToiD0NF8YfA w1LoWtxFKtYReRgiij0EHjpnGeIuymIdkYehobhD4KFT5hHHJsRdzIp1RB6GhGIOgYfOiImiBFU9 YsKhCiTUmn7zzTePp6wjkbTX9Kl75aFDhyqJu6gS64g8DAUEHjojJoYSO3V1DIcqkBieccYZxRe+ 8IVTukIqrx9gTGJfRdxF1VhH5GEIIPDQCbNE0Au8RPDcc88dOffYg07qD29I4E877bRK4m4uv6pw I/KQOwg8tE4V8TOBN/HbvHnzaHqZwJtgn3766aPvZVhepTrCjchDzijGEHhojaqiJ4H/1re+NQpI NcvYk6qWvMhv27at+N73vjfK+9RTTxXbt28fz4lj4i6Xb7GOyMMqoPhC4KEV6ojdq1/96tGokKHY xYYqeOyxx4qXvvSlI8GW2Ft7fAwv7sLHelsif+edd44GTKsCIg9tgsBDK7ThZOXkQ8EuI5Y3jHVE HoaM4gqBh0ZpQ9wlrN/+9rdPEewUqR+CWKwj8jBUFFMIPDRGW23Qizp3IxXriDwMEcUTAg+NUEfc Jb5VxawpcRdlsY7Iw9BQLCHwsDDziLvEeBZNiruYFeuIPAwJxRECDwuxqLhLJHUD1T/Jqq6PyvOG N7yh+I3f+I3x1HXCl26Lqj8EVWIdkYehoBhC4GFuFhV3CZi6QYZDFZhgq5+7jTtjhAJfVdxF1VhH 5GEIKH4QeJiLJptlvMB7wVY/dw0m5pHA2wNQP/dzP7eRtwrKW1UwEXnIHcUOAg+1abrN3QQ+dON6 0Cn1pKryasyasAknhbZZZSv1QeSrnneIPMyL4gaBh1o0Le5CAp/q5+4HFzPsh+DBBx885UXdMWyb tUxdwWxL5O+///7RdlQBkYd5UMwg8FCZNsRdvO51rxsNVaBlJGLWxq7mGHPwNlTB+eefPypXedVM Mwu/zRbrJpj6XwVEHnJE8YLAQyXaEndz46FzD6k7VIEIt9nHuoRS3xF5GCqKFQQeZrJscZdY1hmq QMS2OYx1RB6GjOIEgYdS6oj74cOHR0HVpLiLus5dwhrb5lisI/IwVBQjCDwkmUfcq9C2uEtYY6S2 D5GHIaL4QOAhytDEXZRtIyIPQ0OxgcDDKXQp7hK+OkMVSMzs6VZ1r7QHoWaJu5i1nSbyVX9QEHno M4oLBB6m6FLcJUp1hypQXnuLk/JpfhVx/+GJvy1ec+H+UVq7/sHx1FOJbWcZiDz0FcUEAg8bLKtZ xgu8zxsbqiB88OlFL3rRTHF/4fiJDXEP0+Fnvj/ONaEvIn/w4MHKdYzIQ4jiAYGHEctsczeBD/PG hirwAi+xlMCXEYr7Obtvm/pu6ZP3Pz5eYp2+iPzDDz9cua4RefAoFhB4WPoNVQl81aEK7EXbEsmP fvSjybFqxLPf/ZspEd916VUbIvgHX3xsap6ld9/40HhpRL4vKD5sgDlDdWfTlMIrPR07m2cvbl81 FAcI/IqzbHEXdYYq0LSXvexloxPcxD5GKO5qirFt9yKo6Tv3fGEqr5KmPflXL2zsh/a9Coh8O+hq TmJtqN7KftwNBL5i0MDw6IO4V81rJ3cVUZQwe7GW2Au//TER1M1Xv5yl2w4+McqLyC+PmMDru1J4 I96DwFcMGBgWdcS9jrC0Ie46mdVGX0UM5ci9OJu4i3AfUiL48S8enirD0lsuuhWRXxKhwHs0PeXm EfiKwQLDISdxN7S9dcX9Oz/44XjOOrH9KBPBR558fqo8S2+45AtTPxwpEPnmKBN4NdUh8Kei447A rxi5iru2u4yH/vzolAir90xIal9miaD60J979cGp8i3t/9rT41xxEPnF0f0XCbUl3XeRqIfThD7r as+/+UupSnv90NAxR+BXiFUWd1G2P1VF8Pq7H51al6UrPvWn4xyngsh3g/ZNYg7r6Hgj8CtCn8Vd Ds0/ySqBM+cVinvozO48+K0poZXbTjFrn+qIYPijYukte790StOQQOTbxz8wBwj8ytBncZdIx05M be/HPvaxUy6tJfDWjVLNI15cy8RdVNmvuiJ48WV7i7dc/sWp7bAUNt+0JfKPPvpo5WO2Ck4e1tFx RuAHTg7NMqHAW7OMRCgl8GFPlypU3be6Iqi8qrtr7nhkapssXXnbN8c52xP5Ot1YEfnVQMcYgR8w OYi78AK/d+/e4s477xx9Tl1ym7jL/f/b37h1PLUc246qgjmvyIuDf/aXp4i8kjXfIPLQBTq+CPxA yUXchQm5F3eJmjXFeOSGTTD/j//7Y8XOnTvHc9LYdihJMK+77rrxnHIWEXmhm71vu/LLUyJvadcH b0bkoVV0bBH4AVJH3B988MHKgtCGuAsJvMTcxD02yJjw4q4k0ZvVx9lvh+2nlpNoVmEekVedhoTb buk/7v3sOEc5iDzURccVgR8YdcS9zpjjbYi7RMX3iDE37qcpiTO2/Fjxs79158i12/RZ4q7ytR1H jx4dfff72rbIq25j3Pf1Z6JCL6ef6t5pIPJQBx1TBH5A5CTuhm+WSfFbv/dA8Q9e8a82xLAKJu4S LyPcX4ll1fpqUuSF2uLVJu9F3pK6YKZA5KEqOp4I/EDIUdyVd5a4a/heE77XXfj58dRyTKy8uIvY Ptept6ZF3tBDUl7gLalXTgxEHqqgY4nAD4BcxX2W+L3zww9siF1dcY+JVGq/+yDy4rc+8LEpgbek YRLCPv6DEnnth5riLAVju0fZtq0oNIrkybgbLZMYNjrJjh1FUeEGfc7oOCLwmbMK4v763feMp5Yz S5zK9v3WW28dNRdVoU2Rl3Bffd3vF2+67N4pkbf09ce/M845n8jrWM2ic5FfW1sX6zIOHCiKzZvH XxwIfBIdQwQ+Y4Yi7uFQBWed81snz9n1G6kxcV87KQia58cB1/pVdpkozdp/NRe1KfKzmqMML9wX 73s4KvQ37n9sNL+OyFsd9U7kYwIvAZZwKyk27LOSzVdPKy/wR45M5wtvwutHws83gdfVgE2L/Yhk io4fAp8pQxF3CbV/oMn3G9/5ns+e0l1SYmavZ9NTrep5U1W4qtRBmyJf5YayEQr3XQ8+OSXwlnSl c/U1H85b5CXwJrBKQq9q9A47dPAxgdcy9uyE6iMUaz/fHLz2zdYp9DnycF2O6Ngh8BkytGYZE3jf LPGG931uJCyhwIfvaD399NNHZVcRrKr1cO+991bO26XIC41Dn2q+ef//+/FxrnJ6J/KpJhoTfP2g VxF4/TfXbm7d4+ebwIeuXwmBh2WRq7jHHv4xJPCv33XbhlC98X3rAuidveEFXu3Kp512WiWhsm2u 6nTr1F3XIm+892NfmxJ4S5+8//FxjjS9EvmYwL/sZev/dbwlyqFgxwRe06wcLReYg40bs0LLSOBt ebuxqzIGgo5ZewIfOwB10PL+Eq1P2D4J288YKWcyJ3XEXQJS9di2Le7+8f0Y//B/+5ejMWUkTudc dMdomkRtd2SoAhN4u2lY9j5Ow7ZZqU6bdQ4iLyToocgr6R2zZfRG5LVvOp8sSdBtmj++Nl+k9MXa 01PnpJWh8k1frAylsN0+Y3S8qgl82EYW68ZU5RKqDnUE3h+gLrD1iY4Evq64V21HXra479zzheLv /9N/MRJ4E/fUUAVCN1g/85nPjMr2Qwen8Nus/6KOyNcZp2eZIi/0snHVZyj0mqZ5MXoj8tA4OlbV BT4UKhM5Ezr7HAqf5TOB13R9T92ttjJCgbfpsfYx+zXWfPsFtvVaG5u/uaI8vix99t+VR/ltumGX iTffPJlu+xm25QnVmxcqm1ezjW+o4v7q/3LXyeqYDElQNlSBnLtey6YyX/KSl0zlTxFus4/1voi8 jquObxXqbPNbLr7jFKFXuu3gE+McExD5YaLjNJ+DF9Y2pgMtwari4DXN8vj2MEPzbZqWsRNYn3XV YGWF2Hz/Q2R5VYa2UZ+1nVqHL8OW9WX7PNpPlWHzVYbVh7D9NPx3L/Cx9VRgqOLuReeXLv7MeGoc iYnEvI7QxrY5XHboIq+8v/7B9aavMKn93oPIDw8do/kdvImcTa8i8PpvDtvcsMfP1/IS1thdbt9E ZOIdfvbrFfqssq1ckSo7JtJ+e61s4fP69QtbdtY+JFgFcf/lSz45nlpOE6NexpavI5htPhHapsgr 7yNPPj9V75bUI0c9cwQiPyx0fOYXeENipeaMKgIvN2xNJQrQsJnGzzchDkUzxH5ofFIZfr1Cn028 TeBTZccE3kRaWNnC59U0+4EStuysfYiQq7hLBMvw4lJV3JvqDZQqY1VEXmjIA/+UsE/qa28iX2Wb Efl+o2MzXxONRExibN/VbGEipiRiAm8u2FLoYhWEfr4JsV+XkkfffTnaVv1w2HrD5bzAi1jZMYEX Pl+YN9w34Zct24eAVRD3d172ifHUcprs6llWzjwir/XNoo8ib+hpWH9MLF1480OVtxmR7y86LtUE PkdM4M3BLwMv8BVB3Cdo/6rGZ5VtnlVWHcHUelReWyK/iHCnSOXV+Db++FjaceHdxRPPfnecK03l /dP5GF61t4Wd/yJ2v68MmbautrNFdEwQ+LbQiaT1W5NTBYYo7moS8KJxweU3juesI8FRj5jwgSZN 2xw5yWJdI6tuc5VYn0fk23C6TQh3jLK8OlYaudIfL0v7v/b0OFecmfunJk6JrM6J4Fi3ghf4FUXH Y7gCnxmrKO4SA72VKXxi9e/9vb9XXH755Sf14FTXFQp8nW2uGut1BFNvi1K5QxF5Q2PR+2NnKTVG vSjdP7liNe3KTVsTqYmwT0J57bviwh5eUrIffZ9Hye59+WlKQnl1JR12dgjXb3Hlr7xj684EHQsE vifoOAwtvWH3pC/2u/Z8NJpH6RWveEWxa9euqWmXXHLJyMH7aUoXXHDByXNtvX/8K1/5ylPmk5pN 5198/ZTAK8Xy+fTVr351HNUOCaS/DydMYGMdIezHXT8Wll/os0TfRFuYIFfpCCE03XeGEF7U7XNq 3ZmgY4HA94Q67i4XJ6inJ70w7Lr0qug2hw5e+yeBnzUMgZ54lZuvemOyaqwr36x7CsZQ75mk3h2r 1wymSO5f2AFBSUIeE3gJrwTZXH7oupVSAh/78RBhXosry2MpLC+17kzQcUbge8QQRV59rL1A/OYl HxoJkic2qJiaPuTgy/bPhgsWElkJTBlVYl15ZvXjN4Yo7lfe9s2p42VJrxUso3T/1Mzh75vouwTU BFbH0MRUYu8F3vJYTznNs/+hICtWTIQ1TZ+F5bX59oPifxDUyy0sL7XuTNCx7l7gVWGWwsuktrAD G0PBNsMpdskQRf6F4yemxOKCi68dCZMRE3jNP/PMMzf2z4Yq0Fg0hpppPBKY/fvTL+WeFeuaH21e iDAkcS97Afism6uidP9MJE1UhQmrzbvnnvX/pgcSUhN4YfnCPKEgC8Wh5dN/YXnDKwlhbeyf/nS8 vNi6M0HHezkCr5PZRNf3Ye+KZa23Im2LfJXmDNGkyIc3XNW260U+he1fKOYplFd952OUxboEKrVc SB1xV5l9FXeJtz8mlt6w5/PF5R/80DhXOXV+vE7BxNOLfx/wPx4Zo2O+PIG3z/pVVIXqs9LTJx2D fVaySzv7ZfbT7TIsllSu//VVCpeRS/AH0z+MpB+AsA2uw19wE7Y6IlhV5CVOfRD58/bcWGn/rrnm mtFN2Kr7p7qINbOkYl0CJaGqQl1xr3p+dSnuam7xx8GSmmfaujKJYudnnwTedGYA6Lgvt4nGKlIi G2sm8ZdKEl+JrgWF8PO9UMd+gX1eLe/b1TTdrig8Wqf/gem4m5ROYB2fIYm88KLyjj03jaeWU3f/ lDd0rLFYVz3ohdtVyFncy94EpRuqolNxh9bRsV+ugzcksuFNFUsmyvbLqmQ/Bl60Y2KfKkufQ4E3 t+7Rd3Pt/oZMh6yCyL/1ompXRouKfBjr2s6q+5+ruN/0uT+ZqmtLevet7o0YiPvw0PHvn8Cn7mzH lpsl8GVlmXCHPwZ2lWBNR/Zj4pfvmFUQ+bdcVM1FzyPyJog+1uvsSx3xa2LUyxh1xV316evXUuxB JcR9mChe+ifwInZnW3k0zZKEeJbAi1hZJvxqfvF5fZu7YctbniWByE+os38mjLaM0DZp26pQR/wW Ha8+RdW8qTc6KT3050fHuabJStxNA773vfX/ddru/Xm+Iihmuhf4efEHVJ87vOHZF4Yq8l6U3rT7 9vHUcursn/Ior5L2cWjinnonq8aV0Y3tFEsXd8WFzmVLZfe4dJyVRyj+9RmBL0Vxk4/A+z6sKyju xlBF3t8A/Pndd42nljOPyFcVtBzEXS/V9oJuScMAz6LO/tXp6lkLxYSJugm4ibauyPXdmkjt3FcK BT6W1zpHqGnVmlsl8Ppv+Xw59lnJ7s9ljmInH4GHDRD5CXX2r2qs91ncU29mUrrj3ofGucqpK+5V 9682XuBNpO2zTZcgq/nWfgCEF+ZYXjODvnwTeN+ZwuZbeRJ2W0/YjJwhOm4IfKa0KfJya7okr0LT Iq/eHSZYGo+8ClX3r0qs1xE/9dCpev4sKu6pl3PIxStvrN9/jN6Iu1AsSEwtGXLdfrpEOCXwsbzC pptQm8ALTZeY6/6anL7vjCH0eQCtBDp2CHzGDFXk/SvlXnfh58dTy6myf7NivW/iXjY+u9rdhfJm Ke5CceAdtjWdmPB6UgJfltf3fPMCb5+tjLCLtD4PoJlGxw+Bz5yhinzYvlyFWftXFut9Evf9h+Ju XTej1VPGUN5sxV14gTdRluMOnyAva6KJ5ZXo+2VUphd4W8bWLXwZfnrG6Bgi8ANgqCL/3o99bUrg qlC2f6lY74u4//KeP5jaX0uqhxCVm7W4Q+voOCLwA+Gpp56qfGLmJPLh8LVVSO1frH7qiJ/9kFah qrjradK3fvDA1D5auuvBJ8e5plG5bYx6ibgPCx1LBH5A1HGXOYn89Xc/OiV8VYjtX1g384h7lauk KuKeeqGGehJp3JgUKldCXAXEfbXR8cxC4HXCaLhYvb/TkCjYq9s0TngMjTNedZjZoTBUkf/4Fw9P CWHZAzxGuH++XpYl7vO+UEOoXMQdqqJj2nuBt9eyeYHXSWRv8kmJuKZp2VUTeDFUkQ/HL68r8lYn XYt72Qs1Pn1f+iXWHpWLuEMddFyzaaLxAu/Rm35S7+5cVYEXbYt8VbFpWuQ1pooXSD8iYgrbP6U6 4mfLzSvuqRdqSOzfd+n7ky4/ROUi7lAXHdtsBd6cu9J26/4UsMoCL9oUeeXti8iXtVkbtn91xb1K fYTiXvZCjZTLT1GnnuuIe51RLyFPdHyzd/A6ATUvfKenWHWBF0MV+cPPfH9KPKuIfBv1YIL9jcf+ YuYLNfoi7nWGV4B80THOUuD1Nn37rJcwm4hLFHxzDQK/zlBFXqLuhVSiX0aVOqgr7u/a89GpbbAU vlADcYeu0XHuvcBLzCXSlqw5xjfRGBJ7m6+2eb9cqqfNqrAqIp8a91zM2n/tb9X9fs/NX51ar6XY CzXqinudexyIO6TQsc7GwVfBiz2cylBFXk7Zi+zBP/vL8ZxpyvbdxF37nWKeF2rMI+5Veykh7lCG jvegBB5mM1SRV5dJL7jqwRKS2u9Z4j7vCzUQd1gmOuYI/AqyKiKvh6M8sX0uE/fUCzWu+ez/GOdI g7jDstFxR+BXlDon/jwir254VWha5IUXYw1zYIT7GxP3shdq/NalV1cSbMQd+oCOPQK/wrQt8iq/ Cm2LvPqfC7+vJsIm7mUv1Kgj2Ig79AUdfwR+xVkVkdeQu7afJsJPPv3MzBdqIO6QK4oBBB4GLfK+ 18ubdt8+EuELLr52SswthS/UQNwhZxQHCDyMWBWRj6XYCzUQd8gdxQICDxsMWeRjwwikXqjRprhL rG+99dbxt3LqiHudnlGwGigeEHiYYsgif87u22a+UKNtcZdoVwFxh0VRTCDwcApDFflZ+4S4w5BQ XCDwEGWIIl+2P4g7DA3FBgIPSdoWeQlUFZoS+dS+IO4wRBQfCDyUMiSRj+0H4g5DRTGCwMNMNLZM 1Tjps8iH+4C4w5BRnCDwUIkhiLzffsQdho5iBYGHyuQu8rbtbYq71oe4Qx9QvCDwUIucRV7lty3u VbcJcYe2Ucwg8FCbXEVeZSsh7rAKKG4QeJiLHEVe5eYk7lp/1ToGCFHsIPAwN22LfNMCW2Vb+ybu 2h6AeVD8IPCwEG2JfBtCO2s7EXcYEoohBB4WJheRL9tGxB2GhuIIgYdGyEHkU9uHuMMQUSwh8NAY fRf52LYh7jBUFE8IPDSK3lSkNxZVoWuRD2O9bpkqT+VWAXGHZaOYQuChcfoq8j7WEXcYOoorBB5a oY8ib7GOuMMqoNhC4KE1+ibyJqZ1lkXcIVcUXwg8tErbIq9lqiCRVn4lxB1WAcUYAg+t05bIK4/y VhV55V22uNv+Ie7QNoozBB46oQ8iXzXW2xb3KvsFsCiKNQQeOmPZIl8l1hF3GAqKNwQeOmWZIj8r 1iXYiDsMBcUcAg+dsyyRL4v1OoKNuEMOKO4QeFgKyxD5VKwj7jBEFHsIPCyNW2+9tRWxTIl8LNYR dxgqij8EHpZKW6JpIu/zhrGOuMOQUQwi8LB02hLPMK+PdcQdho7iEIGHXtCFyFusI+6wCigWEXjo DW2LvBLiDquC4hGBh17Rtsi3Ie52dYC4Q59A4KGXtCXyVWN9HnHXdgD0CQQeeksbIl8l1hF3GAoI PPSapkV+Vqwj7jAkEHjoPU2KfFmsI+4wNBB4yIKmRD4V64g7DBEEHrJBIlx1pMeUyMdiHXGHoYLA Q1bUGas9JvJhrCPuMGQQeMiORUTexzriDkMHgYcsmVfkLdYRd1gFEHjIlnlEXglxh1UBgYesmUfk EXdYFRB4yJ46Il811k+cOIG4Q/Yg8DAIqop8lVg3cX/22WfHUwDyBIGHwVBF5GfFOuIOQwKBh0Ex S+TLYh1xh6GBwMPgKBP5VKwj7jBEEHgYJBL56667bvxtQizWEXcYKgg8DBa5eAm9J4x1xB2GDAIP gyYUeR/riDsMHQQeBo8XeYt1xB1WAQQeVgITecU64g6rAgIPK4NEXrGOuMOqgMDDSnHPPfcg7rAy IPAAAAMFgQcAGCgIPADAQEHgAQAGCgIPADBQEHgAgIGCwEM+bNo0SZs3jyeWcPz4et7nniuKHTuK Yvv28YyKnDixvjxApiDwkA8m1mUoz6FD4y8OBB5WEAQe8iEUeBNgpS1bimJtbfJ9587J/GPHpgV+ 69ZJPqUQP8/m29WApdiPCEDPQOAhH7zA7t5dFEeOrH/2ePGNCXy4jM8v/Hzv4LdtW1+n0MBl+kEB 6DkIPOSDxDZsojlwYH26tcl7wY4JvOU39HnfvvGXk/j5XuBD14/AQwYg8JAPElYv8HLb+u5dt/6b YMcE3qb55TTf8DdmrclHaHn7EVEZagIC6DkIPOSDxNYnP82E3xy4mlNiAi98e7oXd0NNMJqnHwr9 N1SGLQeQAQg8AMBAQeABAAYKAg8AMFAQeACAgYLAAwAMFAQe8sX3U/e9ZKqgLpBt9WXXQ1GpbpR1 txNgARB4aA4T3K66EbYt8OHwBEqzllE3zbLtQOChQxB4aA71H5dzlRCGDxvZQ0X2uL+EzvqZWx92 ffbflUf5bbphfd1vvnky3YTT1uOXsX7t9l1I4L3Q2nxbtyd8+tUIl/E/cPY0bbifXuDDH8TY8gAL gMBDc5gweXdsoiXhD4fv1WfDlrX8wufRUAF+ADGVET5p6gXbviu/NZeo6cTyeIGPrdsTE/hwGfuv aWX76bfT5//jP44vD7AACDw0g4lS+NmEz54Y1Wc5WgmdCW/oupUkdF4MTZC92HpB9nn9+oX9ECiF 5aXW7QkFPrbM+98/nUefw/0Utp1WhhGuw5YHWAAEHprBi6ilcLgAoc8m3iZ8oSAbMYH3wpgSeE0z cfTCaWX4z6l1e0LxjS0TCrY+h/spUgKfWh5gARB4aIZQkCSgGpzLRNgnEQpfbIz2mMALny/Ma2Js ycTYUqy8WePDhwIvYsv47zYwWUrghc9v7fSWqryxCmAGCDy0S+jg+4IXeICBgsBDu/RR4K1XjfXo ARgoCDwAwEBB4AEABgoCDwAwUBB4AICBgsADAAwUBB4AYKAg8AAAAwWBBwAYKAg8AMBAQeABAAYK Ag8AMFAQeACAgYLAw6DYsWNHsWnTplEy/DSl54I3JR0/fnxq/iHGYYeBgMDD4Dhw4MBIqGNo+r7g TUnbtm0rdo7HbF9bWys2MxY7DAQEHgZHKPAnTpzYcOfbI2PAe9Ev+3EAyA0EHgZHSqRN6M2tGwg8 DBUEHgZHmUirOWbLli3jb+ts3bp1qokmnA+QKwg8DAqJtcTd0rFjx0ai7qfZTVb7bD8I4XyA3EHg YSWxnjMAQwaBh5VEXSdx6jB0EHgAgIGCwAMADBQEHgBgoGwIPIlEIpGGlS699NLHEXgSiUQikUgk EimjtGHgAQAAAACgv2DgAQAAAAAyAgMPAAAAAJARGHgAAAAAgIzAwAMAAAAAZAQGHgAAAAAgIzDw AAAAAAAZgYEHAAAAAMgIDDwAAAAAQEZg4AEAAAAAMgIDDwCwJE6cOFHs2LGj2LRp01Tat2/fOMc6 qXyWtmzZUjz33HPj3HGOHz9ebNu2Lbr85s2bi0OHDo1zAgBA38HAAwD0gAMHDmwY6tDAp7jhhhsq LePN+86dO8dT11lbWxtNx8QDAOQDBh4AoAfMMvCpVvjt27cXx44dG+eKU1b2PBcOAACwXDDwAAA9 oK6RDg192LLuwcADAAwLDDwAQA+Yx0j7rjFl/eCPHDlSbN26dZQv1YWmSj96AADoBxh4AIAl4Y11 LFn3mLIHUJVC8x0z5f4CIUyYdwCAvMDAAwAMCG/26RIDADBMMPAAAAPB+sXTog4AMGww8AAAAAAA GYGBBwAAAADICAw8AAAAAEBGYOABAAAAADICAw8AAAAAkBEYeACAHDlxoih27CiKTZuKYvv2ojh2 rHx6F/h1l7wZFgAAFgMDDwDQBmtr60Y2ljZvLopDh8YZZ3DgQHwZDDwAwMqCgQcAaAMz8Fu2FEXZ mOze9FqyFzClLgJkjucx8LF11bmYCLGLC0s331xu4MP9mVU3AAAQBQMPANAGZS3wu3ev5zlypCi2 bl2fZqb9+PGieOUrJ8a2iRZ4P82Xo3Vt27Y+vY6Z9uX55fw+ewNv0/26fRm01gMA1AIDDwDQBmZa ZxnjWa3STRh431JuFwpG2bwUqWViptxfpKTSIncBAABWEAw8AEAbVDXwHm+MrZW+CQPvTbSVa9xw Q7z8MlLlxQy8b+UP1w0AAHOBgQcAaIOwZT1MarlOtU570+8NsCWZ4zoGXviLgzDN0wJuxj+VfLeY Wa3wdKEBAKgFBh4AAAAAICMw8AAAAAAAGYGBBwAAAADICAw8AAAAAEBGYOABAAAAADICAw8AAAAA kBEYeADICz984dBeADRrHPU6Y8pXxa+zjfrs4ni1XUcAAD0DAw8A+WDjicukvfnNwzNsMQOfM00f r9RLrQAAVgwMPADkgTe3egmSb3UNza7Pm0r2VtBUXjOasRcpWfJGsso6td1G2YuVlGyffLmxN6uG SeuYtS3hG1HtpVP+xU9V9zuF34ZZx0uk9snWlXoxlsqK1VHqDbN+PVYPZfWp5I8bAEAPwMADQB7E TKY3wd5kxQydERo7nzdsHfamMzS9Vo4tU7bOcNtjJlL4MsoMvMd3UZllNGN1KMLpdfY7RZ3jNcvc G6kW+FgdVZ2WOhYidREAALBkMPAA0H9mtVYreZNVZnpDw+vzhuZxVsus0jwGvsqFRxUDb+WGZtov E0uztq/Ofseoe7zKTLSnjoEXYbmx5VPHQpTNAwBYIhh4AOg3Za3Bws838xYaWDPD3tDF8oYG3s9L mcY6Rtum+232RtjyKZWVG9tnT8x4xvbdCLevzn6HLHq8/Ppsuu1DylDH6sjwF2yW/Hb5Zf2xKKsv AIAlg4EHgP5SZsw83tjJnIXL3XPPZL5SyvylTKnPU6WccFtDg2yE5lLl2bQyA+/3N0xmTr1RVpI5 /fSn1z9X3b4q++0pqwNPeLwMb5pj80W477HjXbYPqe0K66ssLwDAksHAA8DwqGokgboCAMgQDDwA DA9MaTX8HYDU3QcAAOgdGHgAAAAAgIzAwAMAAAAAZAQGHgBgzJEjR4qtW7cWW7ZsKZ6LDJFo8zdt 2nRK2r59e3GspKvOIssCAAB4MPAAsPKsra2NjPSuXbuKHTt2zDTwu8ORUSqwyLIAAAAeDDwAwJgT J05g4AEAoPdg4AEAxswy8DEOHDgwar2vs4yxyLKz0L7ccsstGyJ/ww03FMc11jkAAGSPaTsGHgBW nnkMvLDW9Z1zDMW4yLIxvHG/8sorN0T+2muvHf3HyAMA5I9pOwYeAFaeeQ28TLFa0vel3lBawiLL ekLj/uyzz46me21//vnnMfIAAAPAtB0DDwAriUzstm3bRiY6lnzLuLWWh3lC8235/OgyVZetS8q4 GzFtx8gDAOSNaTsGHgCgAeyCoKkuMSlmGXejTNsx8gAAeWLajoEHAMiAqsbdqKLtGHkAgLwwbcfA AwD0mLrG3aij7Rh5AIA8MG3HwAMA9JB5jbsxj7Zj5AEA+o1pOwYeAKBHLGrcjUW0HSMPANBPTNsx 8ACw0sig2sgwqWEkbSSZed6mKvOrh1t92TLpGrZy8+bNxaFDhzamNWHcjSa0HSMPANAvTNsx8ACw kpix1nCOZqibNvBWrh9W0vDrvP7660c63IRxN5rUdow8AEA/MG3HwAPAylPVwPtx3JVmDRlpy8Xy aZ2vfe1ri9NOO604//zzGzPuQmWbtjdptjHyAADLxbQdAw8AK88sA5/iwIEDIyOfapmPGXity7rK vOpVrypOP/30jW40i+LL9qlps42RBwBYDqbrGHgAWHnmNfBlLexCxlbddNSF5nvf+95UH/ennnoq 2b2mLt64Wzcc0/Y2zTZGHgCgW0zbMfAAsPLMMvBra2untLJb67s372bovSl/7LHHRuW+9KUvLS6/ /PKRufbGfhHzHjPuRqjtGHkAgPwxbcfAAwA0hJl6ezA2Za4XpUrZKW3HyAMA5ItpOwYeAKABZFjV 0v7tb397qcbdmKXt3mxfd911o+9NgZEHAGgH03YMPABAAyy7xT2kqrbLXMtkK69MN0YeAKC/mLZj 4AEAFqBvxt2oq+0YeQCA/mPajoEHAJiDvhp3Y15tx8gDAPQX03YMPACsNDKS9mKmKsNI/uAHPyj+ 7t/9uxvLfOQjHxnPiWMj01R5i2uTFwWLajtGHgCgf5i2Y+ABYCWRadRQjjZizKxx4JXn6quvLs44 44ziZ3/2Z4vbb799Y8SZMqoYeG+Wm2rNb0rbMfIAAP3BtB0DDwArT5mBt1bxc889d6rF3Q8ZWYYZ eGuxt6Tx49syx9pm0/amTDFGHgBg+Zi2Y+ABYOWJGXgz7tLHc845pzj99NOLQ4cOjeaJqgY+hgzq u9/97tHyr3nNaxo17rbNPjVpijHyAADLw3QdAw8AK4838OE47tZVZlaqYuS9+d2zZ0/xkpe8ZOpN rvPijbt1wTFtb8sUY+QBALrHtB0DDwArjwzw6173uuLFL35xsWvXrkr90GMt8NZdZvv27cWxY8dG 09bW1kZlerN7zz33jJZd1LzHjLsRajtGHgAgf0zbMfAAsNKUmeC6hKa+LXNbZZtT2t6FkV+0HkMw 8gAA65i2Y+ABYCVp0rgLGUvrQ79M427M0va2THHT9erByAPAqmPajoEHgJWiTYPZB+NuVNV2jDwA QD6YtmPgAWAlWBXjbtTVdow8AED/MW3HwAPAoFk1427Mq+0YeQCA/mLajoEHgEFSxzDa6DFlb2L1 2CgySr/yK79SybhrNBpbRqnspVFVtnkWi2o7Rh4AoH+YtmPgAWBQ1DGIZqo1zGPqTaweGcRf/MVf LDZv3lz8p//0n0bLzhr/XUZS+f1LoIRdNGgoyTZMbVPajpEHAOgPpu0YeAAYBIsYQi1bZuDNEJ51 1lnFP/kn/6T467/+60pvYvUmPcb5559fvOhFLyrOO++8Rk2s9se0vSnzipEHAFg+pu0YeADImiYM YMrAmwG85JJLip/6qZ8qfvqnf3rjBU11DPzu3bvHU9axbdYFwWmnnVbcfffd4zmL4evCpybNK0Ye AGB5mK5j4AEgS5o0fKGB94bvIx/5SPGyl73slFb0eVrgw21+xzveMbPbThVidaHPSm2ZV4w8AED3 SL+UMPAAkBVtGDwz8GeeeWZxxRVXVDJ4VQy8UD979YFXK77f5lTrfB3K6kLTlIwcjfytt946Knfv 3r3F4cOHx3MWByMPALki3VLCwANAFjRt3GXatm3bNjLhsZTqt27EDLyZ8u3bt4+62tg279mzZzS9 TvllVKmLlLbnZuTFnXfeOSoXIw8Aq470SgkDDwC9pmnj7mnSwNkFgYx5W9tcp1zlUUqBkZ+AkQeA XJBOKWHgAaCX5GLcPX0w7obyKs0CIz8BIw8AfUf6pISBB4BegXGfsEi5WkapKhj5CRh5AOgr0iUl DDwA9II2jbvKUpkqW+sYsnE3tKxSXTDyEzDyANA3pEdKGHgAWCpdGnetK4Y9fFo2pKO9tdWns88+ e+Y2W9nhskr2sKvRZF0squ0Y+QkYeQDoC9IhJQw8ACyFPhh3M+W7du0qfROr4bf5Ax/4QPEzP/Mz M5epMlxkG3WhspQWBSM/ASMPAMtG+qOEgQeATumDcQ9RvjIDH9tmmTeNOhO2ooeUGfg260JlKjUF Rn4CRh4AloV0RwkDDwCd0EfjbqQMvN/mc845Z6r7i17OdOjQoXHOetx3330bZWiM+Cbrwm+zUtMG M3cj/+ijj46nLg5GHgC6RnqjhIEHgFbps3E3QgNfdZvtZU5V36bqy33Pe95T/PiP//hCL3TyhNus /0ptGcwcjfy99967US8PP/zweOriYOQBoCtMwzDwANAKVU3wPDRl3A0tbwb++uuvr7zNVQ18rC5k 9LSsf5PrPKTqWd+VRJsGM0cjf//992/UD0YeAHLCtAsDDwCNkotxl7lSH3aZ6FjyLeOpkWRC4275 rF+8tu/qq68uzjjjjFOWbcu4GzFtl8GUsdR0GU19bwqM/ASMPAC0hWkWBh4AGiEX4+5pcpvtgkDG v826qFq25ivF0LZi5Cdg5AEgF0yrMPAAsBBtmtUnnnii98bd02ZdyPx94hOfqFy28imVgZGfBiMP AH3HNAoDDwBz0aZZ1ZB/GjFEZWsEkabI1bjPY7KVX6kKGPlpMPIA0FdMmzDwAFALjPuEPhp3Q8sp 1QEjPw1GHgD6hmkSBh4AKjFk424Pn5a9VdXe2urT2WefXbkuwuVT62rKRGt5pXnw2/A7v/M7jR5r jPwEjDwA1MW0CAMPAKUM2bibqd61a1fpm1gNX+4HPvCB4md+5mdmLiNjFnvpk1002Gg3TRl38cMT f1uct+fG4s0Xfaa48rZvFo88OV9ZbR57jPwEjDwAVMU0CAMPAFGGbNxDtFyZgY+VK5OlUWdsyMgY oUkP0QWEzL1e6qSymzDu7/3Y14rXXLg/md6y90vFx794uPjOD344Xmo2GPlpvJE/ePDgeOriYOQB YBamPRh4AJhilYy7kTLwvtxzzjlnqgtMrFU9xAx87EVPMmvqgnPaaacVF1xwwULG/YXjJ4p3fviB qGGvktauf7C47+vPjEtLg5GfRq3wKldJpr4pMPIAkMI0BwMPACNW0bgboYGvWu6sN7HGWuC9OavS BaeMMuO+48K7i9+85EOjdb330iuL/7j3s8XOPV+I5g2T8qnrzZN/9cJ4TdNg5KfByIMwHbGL/NjL 2nQcbX6YqjQKGFXWBcPEtAYDD7DitGnG+m7cDfsxlJm+/vrrK5c7y8AL6ybzhS98YcqMPfLII8nW +Vk8+92/Kd525Zej5vuNl36xOPzM90frURIxI6gWd7W8x8qIJa3vk/c/PrpoMNqMHYz8BIx8v/E6 YJ9TplrHT/PKut6VUWddMExMYzDwACvKqht3mSD1YbcfwDD5VnNrSQ/zhObb8vkfZ5mvq666qnjJ S14ytWyqX3wZVYy7EdP2MiOoPvEy6OojHys/ltTf/uCf/eXouNx6662jcnXcdfybAiM/ASPff9o2 8B4M/Gpi2oKBB1gx2jTu3rj0ucXdaOOCwIx5k2ZLxvxNl90bNdH/4f1fGhn7EDsOMapum0avUVea 2HpjSdt4wTX3FBde+gGM/Ekw8qtHVQOfSnWMOAZ+NTFNwcADrAhdGfcmjUoOxj3k6NGjSzXuhh2P MuoaQY1ys/9rT9d6YPbnd99V3PS5Pxkt2wQY+QkY+f4xj6nWcbO7gXWeicHAryamJRh4gIGDcZ/Q Zl2oLJWpsrWORczUQ39+NPnA6Tuu/vJUP/QUdlyqsIgRVNebG/c/lrzQiKWL9z082sdFwMhPwMj3 hzJTreMiox5O9y95813rdCw1LWXqMfCriWkIBh5goGDcJ3Rp3LWueWnCuBt2fOrQlBH8+uPfKa74 1J9G9yOWZP51EVB2RyEFRn4CRn45pJ6RseT7u0sf/OgxlmIG3Iy9X77OumCYmHZg4AEGBsZ9Qi7G Xd1SUsb9N294YK7uJ3ac5qFpI6jtv+vBJ4tzrz4Y3cdYUl7VS9V9x8hPwMjnj46bDPk8D7vDsDHN wMADDASM+4Q65doPpVLqVrXyWMuWGfezzjprtMx73/veca441mIWGy5SBjVmXpXmNe6GHa9FaNMI 3vGHXyp+ec8fjMarj+1/LKlVXw/WlpG7kW/y4W+MPMDwMK3AwANkDsZ9Qp1yZWasP6qW8y9yimHG XWVrHVp+1jIiZuBvO/hE1KAqXfoHD41zLYYdtyZo0wgqrmxbP/X5r4yGpozVSyxpyMuPf/HwqB9+ SI5Gvq3hVzHyAMNB57ESBh4gUzDuExYtt8zAe1OldSivsAfIYi3rnlSf1X/win81ZUabMu5C22jH r0mz1pWRV/wJ9fnXxU5q7PtY0sup9JIqAyM/ASMPkD86f5Uw8ACZ0ZYJFqtm3A2VExr4MhNlD5dV HflBrcSh0fyXb/1/RmW85hfeMc61OL4+fGrarHVt5D1P/tULo7HpU88MhEn5lP/hx76NkR+DkQfI F523Shh4gEzAuE9oulxv4L/yla8kTZPMjkx31QfLyl6CdOnv3j1qmW/iIbVYfeizkszaddddN/os 06bvTbFMI+9Ri/u7b3woWs+x9MaL7i7O23Nj8ZGP3oiRx8gDZIXpIgYeoOe0ady9STp48OB46uLk YtwNlXv22WcXmzdvLnbt2nWKSbJuMLOGaLN8P/G/vrL42d+6c2QW/5d/8cbi5a/6pQ3zePPnv7HR /WZR8y7DJeMVqw87robPm6uRr3pxqT7xn7z/8VEfeav3WWnXTQ8VB//sL8clzA9GHgDaxPQQAw/Q U7oy7rNaN+uQm3EXTZkijRjz1vf+3siY//Qb/sspBvHT9z0yzrk4Vcy45imFhMvqzbFN0aYRXPQu kUavKbsjEiZ1vbnmjkfmGpteYOQBoA1MBzHwAD0D4z4hF+OukVP+99f/enHa6T9S/NvfuHXDBL7u ws93btwN5VFKobLaqts+G3mPhvF854cfmDLuZUkP02o8+zov1MLIA0CTmP5h4AF6AsZ9Qpt14Q3g /v37x1PrIxOXMn8y7vsPPTbOuTjeUKk/e5lxN2wfZ9FmXedi5A11vfnInd8o/s/3VR+b/uJ9D4/e oDsLjDycPNmKYseOoti0qSi2by8KdceLTWsLvy5eEJUtpnsYeIAlg3Gf0JVxX8TwLcu41zVQtq9V CeteprApcjPywrb5Ny/5UPH2K26PHu9YetNl9xbX3/1osusNRr6nrK2tG9tY2ry5KA4dGmecwYED 6WW8gcbAw5yY3mHgAZYExn1CDsZdhiw1Hvnrd99TPPiNx8c5F6cJw2T7PA8yf1pWZjBHI3/vvfeO py5OuM3f+8GxUTeac68+GI2FWFJeddfxb9Zt28jrPFLZOq90fjXBoI28GfgtW4qi5MVsUybYkg0n m7oIMLPsl61i4GPrmudiwtLNN5cb+HD7Z9UFLAWdf0oYeICOwbhP6INxlxHRg6dKsRc5ybifdc5v FT/+j16+MbKMkkaX0TK/et5/HueMI5OjN776srXfGrZSo94ccj/G2n9vvBYxSLbvi5CjkV9GK7Ri RK3uan33xr0sXfGpPx09WNtmXYTxhJEvoawF3l7WduRIUWzduj7NTLv2/ZWvnBjdJlrg/TRfjtZ1 UktG08vMtV/e5/P76A28Tffr8mXQWt8rdN4pYeABOgLjPqEPxl2mQ8ZaL2MyQz31Iqdnvp8chvAN 7/tc8fD/d+SUZUKs3Njwk36d3/zmNxs3WlYHTWBGXqnJ+BqakfeoX7webo7FTyy9+Yr7iv98xS3F +y59P0Z+GZiJLTPGYlYrdRMG3rechy+LK5tnpPL4dZkp9xclqRTbF1gaOt+UMPAALaMfS4z7Om3W hcaxt7ooM+4xtF1mpr/yjSPJllQZ92889hejZWws993WOhfBxoVPjff+q7/6q8Vpp51WnHfeeY0a K5VjddGkqWor3oZs5A09O3HbwSeS3bBi6RcvubP43KH/OS5hcTDyJVQ18B5vlE0HbNoiBt6b6lBf TtZvsnwjtbxfl2mSjpW16pdoGfQHnWdKGHiAlmjTrGLcJzRRF9q+V5396uJFm6eHgbR0zkV3FEee eHqcW7/1ayd/7zaNWu/LSBl4M5VnnXVW8aIXvejk73AzrVu+nn1q2lRh5Ccsss1P/tULo7HmNeZ8 GHOxpHway153hxYBIx8hbFkPk871VGu1N/3eEFuy81/1XMXAC39xEKYqLeJm9FPJa1JqvywlGiBg Oej8UmrWwJcFTFO3YPzJYSdN6gRoA7+uNoLa1+HQblvF6i52PKvgy+pZPbVpVq0rg4zIo48+Op66 OG1tc5t10ZSJVFeHn3vfHxZ//5/+i1PGcQ+Nu0yJjHvVN6jKwKibjnWh8Sby9ttvPxnC8e41dYnV s9VNm6ZqkbseZayakffc9/Vninff+NCUcS9LatHXW2frjE1vYOQB8kPnlVKzBn6eW1Axym5BxZDo DMHA21Ww6u/Nb26mLvtEm3XXA7oy7jIgTbHKxl2vzbeWz3/3nnumDPwvXfyZ4smnnxnnnLSkzzLb sXya9mM/9mPFS1/60uKiiy4aHcvQ2M9LWT1bHRltmiodB1tfjka+z+ZVY9PLoKuPfGjeU0kXALoQ qApGHiAfdD4pdW/gJQxm4nyyZVK3sczw+eXNrMemiVm3hWbc/i69haXkTaiEKbxtZqnKhYjfB22X Ly80u6k69Mn6ss2q76rbXWWdvj6r1l3s2JUdN78OixV/zBc9DnPQplnFuE9oyrhrOL+Y6VEKjXtd rF+8da1py9hWqWdbb0hXRr7NoRyb3ObczKvK/e3f+d3irRfti8ZwLOlCVV111GWnjNzqAmAV0Xmk 1I6BjyUzlN6cpVphy1rgJSih4YtN8+tZ5kMgtq5ZLekxM+pNsDeusf01wn3zecNtqLPdZesMt71O 3ZWVK2w7lHwdiHC9TRyHGrRpVjHuE7ow7r98yScXMu5CxsRGpFmmcTds/SnaNFXq3tXnbioxcjOv Ybl62HXt+gej8R1L6nqj8exjXW9yqwuAVULnj9LyutCELbTeTDdh4FPmV5TNM6qYZzOhZS3Glsrq JKyLWPJ1Edtf46Qobiyj7Y5tr1Fnu8vWGRrpOnVXpdxU3ZVdOKRSldicQZtmFeM+wdfFIsb94188 HDUwSjLuTW6zv9hQ//CmmKeebTtm0aap8t1UMPLdGHkrV11vbtz/WHIo1FjSsJd6JsQI66LtbQaA 2ei8UerewMtkvexlk/nedJnZKzPYEtPQ8M2a5rfHry80jB4JirXm+uVtH5ViJjS86LB5oXk2/HrC VmPh58f2zW9HbN983nAb6my3zxvWW2ik56272PLhujzheuvszxxg3CfkUBdlxv3cS/9ro9vc1F2C kEXq2banKl0Z+VtvvXW0X02AkZ9QpVy9OEovkIqdE7Gk4VT1gqpHjjy9tG0GgGl0vig1a+BPnoAj 85RKZsbDfDHDH7ZKm7mViIaGLzbNkCCYGbRUZgpDwm3VPti0MkMcLhOjbLs9vi5UD+Fy99wzma/k 1+fzpsxrle0u29bQSBtV6i5WbtkdCX+Rk1pvlf2pQQ5mNaStbc6hLjTMXsyMKL3zsk80us19NO6G bVddMMXT5LbNdcr94Ym/HXUtO/fqg9HzJZbedNFdxfkXX19c/7u/t5RtXnkUf+Fvup8W/h42hf3e ljXQQifoPFFq1sBDN3RxsvadDuogB7Ma0tY251AXixh3Gz2m7K2qhvL+6I/+aLF58+aT15O7Zw7n aWXr4dYwhaPQNFnPKkNpXjDF0xw9enTphrsO85b77Hf/ZtTqnnqZWSxddsv/GLXuL0ojdaFYChtw Yne3c8XvHwZ+JdH5oYSBz5EuTtY+c1LYR/vuBaxBMO4T+l4XakEse139BZffWLrN9kKmXbt2nTyl 1t/EmjLwlvff/Jt/U7zyla8szjzzzJlmX5iBl9lP0UY9qyylRenKyOdgikXfDPcsmihX/eLLzrMw qd+9+t+rH/48LLTNJ/Nv/DZU7Y6rc9N3QbVphs+rclJm1qZbCueH60z1NPCEeW6+eVJGmYEP98cn XxdWXz7FtsP2LeY5Zu03NIrOCyUMPIDjwQcf3Dg5SP1Ov7rn41HzoKRb/LFlUumSSy4pXvGKV4xa 1WXmY3ks1cmrdMEFFxRnnHFGcfbZZ0fnk0i5pYsv21u8a89Hi5/ffVf0/AvTWy66NVpOnbR///6x SpdgZtc/A5Uy2970KpkZ1sVC+AxXKq9h6/Dr9cvEjLaf7s12LK/fdm+WY3ljBjs236b5ffH7HpYT M/BV9xsaxc4JDDyAI7fWNZHbNjdV7sX7Ho6ahTdedHfx3kuvrFW2WsDLWuD9Nn/0ox8tXvva1ybz VsHGi1cZ3/rWtzbKbrI7icpTaorc7h4J7nhNaLouNKa8xpa3l6GVJfWxn4da26xz3cynb0H2072h 1HmWMr0ntWM0XUmt1T5vaErLWrotmcEtW2dokFN3D2LbUlZuav8Nf0Hg06ztq7Pf0Cg6J5Qw8AAR cjPFIrdtbqJc9dfVeNYx0/D63fcUuy69alT2LFOs+bO60Aht84c+9KFRC/yLX/zi4sknnxzPqY91 rdk5/lH13Ulk4hZF5Sgtin9QF+O+msbd3gabOtdiSaZdD8iqm1td5trmlBENk5l7acIsMx0z3qEJ lm7FLhxiVFlnzCD7cmPbkio3dREgUvPC7TDC6XX2GxpF54YSBn5olJ2wMcoEBbIzxSK3bW6iXBmM d374gaiReN2Fny8uuPjakUFKGfmqBl4o76tf/eqTv+3rXWjm3WYtp1Z4e2ur8cQTT4yMi+pDRmZe tLzSvHz1q1/dKKNvI+ykwLhPWKQu7vv6M7VeCrVon3dj7m0+eS6NfsPKWnzLTHkq2bnp88ZasWe1 Rs8y2iJmnG2/UqmsXO8FwiTDLc0yAx5LVbav6n5Do+gcURq+gbegS6UhBZjta+xq2E7mUODKBAU2 GIKRl1logj7Xhd4qWWbkf+3ij2wYeZW/7eQPmEx0LFnLuJiVVw+1apsfeeSRUau6H10mNQpNaNxD ZGDMyM/zNlctp1SXPrxFti4Y9wl160Kjx5SN4BRLegHaHz980rw1RFvHrxTpIb991YkZeFgKOleU VsfAbwkeYDn5YzuarqQfUn8y63tsOb+MpdSto1heS7aMN9zh1bLlSU33zNouW0+YZFDKRMzPsxSu P5anrBUkc3I08hr+TiZBZZt5bYI+18Ws0Wn0kGvTdXHVVVcVL3nJS4p//s//eaPHzxtqPWRdFVum Kv6CodIDgxVp06z67j2zhvOsw1CN+zxvZ/216w4Vv33dZ5a2za2hcx8DP5vQX8Q8CHSKzhml1TTw /raPTfcns5Jvmbd5fpp+oO32kz/5/XQLdL8+3+rmjbWVHd6Sik23aXW2q24LvG2bz6+yX/7yU28/ hnls/eFF04DwJjMHUyz0w7tqRl6UtS6+Y89N2Ry/ui+Nsryz8HEhQ9UUbZrVunVRlba2uc26SJng eV7SpD7u6uuuO1nL2GYAmI3OHaXV7UITmkv9gJsh9YbYkyprUQMfXv3HpvvtS+UPk89Xx8D77U1d bfs7A2FXgLJ5A8Obn1yMYG7b3FS5GjEjZlqU3nrRvkbNa5vH79577x2VO8v8KI9SirbuzLRp/DDu E0ITrLHaUyMzxZJGj9E5odFkPF1uMwDUR+eQ0up2oQnRj1fKwKcMacxoewPvU2i6xaIGvs52zWvg UxczZSb/pGGJrmvA5GaKRW7b3FS5H//i4aihUcrJyHszFDNZmqcUEm5TU8e9TeOHcZ+g437hpR8o fuXifcUbLpk9hKMldSmTyU/R9jarXIw7wOLoXFLCwBv6EUsZ+JQpt+SNsje2YQq3YVEDX2e7Ynm1 n7Fyhb84CJNdLJTlWSHz7tGPXk6mWOS2zU2Vq+4FMaOjpBfPfPa/9d/Il5kuTVMytE6tu8ttWBTf /39Vjbu6s9x28Ini31/2R9FYjSV1m7nrwScrDeHY5vHDuAM0j84ppeEb+K45+cM4MrChWU+1lsMg 0Y+gfgx1bunHUT+STYCRn9BUuRoyL/Uymjftvr34zO13jXMuTptG/qabbhqVq/K1Hn1Wis1rgjaN nzfuan1vira2uclyFY/vvvGhaDzG0psuu3f0YKreiVCHNo9fFsbdfqtjKWxUq4s1wlmSH3j66Xhj WZNIT6yhblajJWSLzi0lDHzTlImCUlsnLvSS3EyxyG2bmypX3QvKjPwdf/ilcc7FaasuVI7KU7k+ 9dWshqyacT/8zPdHD1lXeZuppSs+9aejoR/npc3jl1WL+8nzZPSbHN4ttulKqS6kZehcNhPtu5dK R9s28LAS6BxTwsADdIB+JPVjqXNNP559N8Uit21uqlyZKrVqxszTz+++Kwsjr3JVplJfzGoZq2Dc NYSjnr+oM4TjO666b9TVqwnaPH7+GYUmh/NsFTPqoYH3BtwbeD89TFaGlRkmGXnpZ8zAVynXL2st 67HyYtNS+xl7jq2sC7ASvQd6gZ1rGHiADtGPZk6mWPhtVgtbU/TdyKtLQurV8TsuvLv41F33jXMu Tht1obKUFqVN46dWWrXWquwhGXcbwjH1UrFYetMl+4vz9txYvO/S92fR3194497kNneCGdtU8q3n 3mSnBm0wY53KK60PzXWdcv3yPvmLjNg6qk5jYIpssHMOAw+wBLwpzsXIe7OFkV9PMvK//5l+GnmV oTQvXRn3JmNpWcb9649/Z9S1JRYjsaQuM+o6oyEc2zLBGPcZxEypTQtN7KyWaaV5DHydckVs4Ajf Kh5bhwjNeWxUurLn9HiGr1fYuYeBB1giGPkJfTfyGg0k1aL6ugs/X9zyuQfGOReniW3Wskp1wbhP iJWrC7rr73402c0qljSEox5O9WDcl4yZ9bBV2ZtVM+DSZTPGYX6bZy3hdQx8nXLD7fUPysa20xt4 Ycv7lNo+f9HgzX9YJiwFOwcx8AA9ACM/oe9GXt0jZMhiRk3p927vh5HXMkpVwbhPsHIvvmxvsfbb v1/8X1feHz3WsaS7NRrCURd8MTDuPcEMbWichc0rM7k++VbpOgbemFVualv9xYaMfp11pMy43/5Z eWEp2LmIgQfoEd7If/aznx1PXRyM/IQmjXxZt4kP7js4zrk482yz8irNok3j99RTT2Vl3A/86beL X9l7V/R4xpJa4fU20ypDOH71q1/dOCYYdwCYFzsnMfAAPSQ3UyxW1cgL9WeOGTylKz7xx+Nci1Nn m5VHKUWbxs9fiGodWlcTNLnN6n8u8113CMeyt5nGkPG1YyFD3BQYd4DVxM5NDDxAj8HIT8jByGuY wJjxU7rwxm6NvOYphayicdcQjp+8//Hkw8ixpLeZaiSZKm8zjYFxB4A2sHMUA98AEtQdO3YUmzZt mkr7gqe1U/ksbdmypXjOHhxJUHVdMCww8hNyMPLqAx0zhUq/ft2X5zaFIWXbrGlKRpvGr2/GXQ+M rl3/YLT+Y+nfX77+NlMZ/UXBuANAm9i5ioFvmAMHDtQ21frhnceIz7MuyJvcjfz+/fvHUxcnByOv FtyYYVT6zx8+kHzQsS6xbdZnpaEbd72VtKwLUyy99aJ9xe73f6TRusC4A0AX2DmLgW+YWaZaYhxr Qd++fXtxrOZT3hj41SVHI9+WwcnByKvfdKqv9blX3d+KkfepaePn13PTTTd1ZtzVQq6W8jpvM1VL /Bf+5KnWTDDGHQC6xM5dDHzD1DXVoaHf6d+qNgMMPGDkJ+Rg5A8/8/3k+OG/tPe+SqOZVEHbbHXc lnFvso5jZtXeZqq+6LH6iiX1cVdfd7sgatME52jc/TZj3AHyxM5hDHzDzGOq9SO4bdu20TJV+sEb GHgwMPITcjHyqVbkN176xdH8RbG6bYIujPuuKz5avOf3q/db1x0NjSKj0WRCMO7TtLXNANA9di5j 4BvgyJEjxdatWzfMdJise4w36rEUmve1tbVTplddF6wmGPkJORh5tbinRkZZ1MhbnS5CW3X49NEf FL921Z3Fjgvvju57LOnlWbOGcMS4T4NxBxgedk5j4HuKN/u0rkNdMPITcjDy6vLxzg8/EDWuP3fR H9Uee1xYXc6D9kX71NS+3XbwidpDOGokn6qj9bRpgv251ORD2Bh3AJgHO7cx8D1Ewq5+8XW60wDE wMhPyMXIv/vGh6KmVkl9wqtidVgHb9y1T9q3umgIx7J9CJOeCdCDqfP0/+/KuDd57mDcAWAR7BzH wAOsAN6M3HPPPeOpi4ORn9BkuWp5VpeRmOFVUov2LKzuqjCvcVcXHw3hWPdtphr6cREw7tNg3AFW BzvXMfAAK0RuplisspEXZWOc682vKazOyqhj3DWEo9ZXZwjHc3bfVlxw+Y2NmVWM+zQYd4DVw855 DDzACpK7kdfnpsjFyMs8x0yykkx+iNVVDG8qY8bdhnBM9cuPJRn7W+47XNz48U+Oym3SrGLcp8G4 A6wudu5j4AFWmByNvLbTthkjP50u3vfwxoOfVkeelKn8+uPfGXVtiZUZS+oyo4sGG8KxLbOKcZ8G 4w4ApgEYeADAyDtyMfJqIY+ZayX1n7/ksstH6xLeVF76gQ8VV336T5IvlIollaeHU0Mw7hMw7gDQ BaYFGHgA2AAjPyEXI68hJlMPkb5p9+3FRR++rXjD7jui82NJwz1qCEd7m2kMjPsEjDsAdIlpAgYe AE4BIz8hFyOvbjB1WtWVlF9vM606hGOOxl1lqUyVnYtx9xcbGHcA8EgXlDDwAJAEIz8hFyOvoR1T Rl793Od5KVTuxl3r0LqaoCvj3uTFBgAMB+mDEgYeAGaCkZ+Qi5G3fV8EjPsEjDsA9AHphBIGHgAq g5Gf0Hcjb/s8Dxj3CRh3AOgT0gslDDwA1CZ3Iy/j1BR9NfK2r3XAuE/AuANAH5FuKGHgAWBucjTy MkwqVwZqyEZe+ZWqgHGfgHEHgD4j/VDCwAPAwjz44IMbopJDNxUxdCOvfEplYNwnYNwBIAekI0oY eABojNz6m4uhGnnNV4qBcZ+AcQeAnJCeKGHgAaBxMPITlmXkNV3Jk6NxP3r0KMYdAGCMdEUJAw8A rYGRn9C1kdd3JZGjcQ/3C+MOAICBB4AOwchP6MrI679S7sa9qfrBuAPAEJDOKGHgAaAzMPITujDy Shj39rb5qaeewrgDQKdIb5Qw8ADQORj5CW1ts9VvE2Dcp1FZKlNlax1aFwBAF0h3lDDwALA0cjTy n/3sZ0fl9t3IWr0uAsZ9Gow7ACwb6Y8SBh4Alk5uRj4HY2v1OQ8Y92kw7gDQF6RDShh4AOgNGPkJ i26z1WMdMO7TYNwBoG9Ij5Qw8ADQOzDyE+bdZqu/KmDcp8G4A0BfkS4pYeABoLeYkc/lwdE+GWHl Uyqjze3V9mk7q25vVTDuALDKSJ+UMPAA0HtyGwGmD0Ze85VidGXctZ3a3ibAuAMAYOABIEMw8hNm bbOmK3kw7tNg3AEgN6RXShh4AMgOjPyE1Dbru5LAuE+DcQeAXJFuKWHgASBbcjbyTZpdEW6z/iu1 ZYIx7gAA3SP9UsLAA0D25Gbk2zK/wm+zEsYd4w4Aw8G0HQMPAIMBIz+haW3P0bj743bTTTdh3AEg e0zbMfAAMDgw8s0Z+NyNe5PHCQBg2Zi2Y+ABYLCsspFfVNtlsNVq3cS2eDDuAADzY9qOgQeAwbOK Rn5ebW/LYGPcAQAWx7QdAw8AK8MqGfm62o5xBwDoP6btGHgAWDm8kc/BUM5j5KtqO8YdACAfTNsx 8ACwkuRoMOsY+VnajnEHAMgP03YMPACsNLka+VnlprQd4w4AkC+m7Rh4AICT5GhAy8oNtR3jDgCQ P6btGHgAAMdQjLxpO8YdAGA4mLZj4AEAIuRu5H3CuAMADAPTdQw8AEAJuRp50/YcjLv2W/vfdD0A AAwN03YMPABABXIz8k1pe1fGXfuvegAAgDSm7Rh4AIAa5GLkF9V2jDsAQP8wbcfAAwDMQd+N/Lza jnEHAOgvpu0YeACABeirka+r7Rh3AID+Y9qOgQcAaIDQAB89enQ8Z3HmMfJVtR3jDgCQD6btGHgA gAZp07TWMfKztB3jDgCQH6btGHgAgBZYtpFPaTvGHQAgX0zbMfAAAC2yLCMfajvGHQAgf0zbMfAA AB3QtZE3bce4AwAMB9N2DDwAQId0ZeR9wrgDAAwD03UMPADAEmjbyJu2N2ncfWs+xh0AoHtM2zHw AABLpC0j36S2t9kNBwAAqmPajoEHAOgBTRv5JrQd4w4A0C9M2zHwAAA9oikjv4i2Y9wBAPqJaTsG HgCghyxq5OfRdow7AEC/MW3HwAMA9Jh5jXwdbce4AwDkgWk7Bh4AIANk5GXgpdcy9PpeRhVtx7gD AOSFaTsGHgAgI9QCX8XIl2k7xh0AIE9M2zHwAAAZMsvIx7Qd4w4AkDem7Rh4AICMSRl5r+0YdwCA YWDajoEHABgAoZE3bce4AwAMB9N2DDwAwIDwRl4J4w4AMBxM2zHwAAAAAAAZgIEHAAAAAMgIDDwA AAAAQEZg4AEAAAAAMgIDDwAAAACQERh4AAAAAICMwMADAOTIiRNFsWNHUWzaVBTbtxfFsWPxaW3h 17Vz53giAAB0AQYeAKBp1tbWjW0sbd5cFIcOjTPO4MCB9DIYeACAlQUDDwDQNGbgt2wpiueeG0+M 4E2wpX371uelLgLMLNc18LF1zXMxYenmm8sNfLj9s+oCAAAqg4EHAGiashb43bvX8xw5UhRbt65P M9N+/HhRvPKVE6PbRAu8n+bL0bq2bVufXmau/fI+n99Hb+Btul+XL4PWegCAhcHAAwA0jZnYWa3O s1qpmzDwvuXcLhSMsnlGKk/MlPuLklSq0+oPAABRMPAAAE1T1cB7vFG2VvomDLw31VauccMN6fKN 1PIxA+9b9cN1AQBAY2DgAQCaJmxZD5NaslOt1d70e0NsycxyVQMv/MVBmKq0iJvRTyXfLWZWKzxd aAAAFgYDDwAAAACQERh4AAAAAICMwMADAAAAAGQEBh4AAAAAICMw8AAAAAAAGYGBBwAAAADICAw8 APQXP3zh0F4ANGsc9TpjyFfFr3PR+owNcRlLTRw3G5bTD41ZhbbrEwBgSWDgAaCf2HjiMl5vfvPw TFjMwOdMlbe6AgBAI2DgAaB/eHMrM+hbUkOz6/Omkr0VNJXXLgzKWpV9S3KVdXoTW/YiJSXbJ19u 7E2qYdI6Zm1L+EbUWGt21f0uo4qBr7qeWS+DsvJnHc9YfYpU+bYNVdcPALAkMPAA0D9iJjNlEFMm TVgXHDNmPm/Ymu/NZWh6rZxZxlCE2+7NoC/Xl1Fm4D2+S9EsE5nqdhJOr7PfZcwy8FXX88AD8foS dY6niNWn347YnY/U8RLh+gEAlgQGHgD6xazWaiVvoMpMb2h4Y6bZmNXqqjSPga9y4VHFwFu5oVH1 y8TSrO2rs99lzDLwVdfz6U9PvoflhOsoO54iVp9lBl2U7cesfQQA6AgMPAD0h7JWWuHnmyELDawZ OW/UYnlDw+fnhS2sNq+O0bbpfpu9EbZ8SmXlxvbZEzOVsX03wu2rs99lzDK3Vdfj8/n6qns8hZ8/ a39t+s03V18/AMCSwMADQD+Ima0Y3ijK5IfL3XPPZL6SN5M+b8qU+jxVygm3NTTIhr8bYOXZtDID 7/c3THaR402+km/Jrrp9Vfa7jKqt01XXE+6TUtk2VzXwhjfklvxFY5X1AwAsCQw8AORNmUmDaagr AIBBgIEHgLzBlFbD3wFI3X0AAIAswMADAAAAAGQEBh4AAAAAICMw8AAAAAAAGYGBBwAAAADICAw8 AAAAAEBGYOABAAAAADICAw8AAAAAkBEYeAAAAACAjMDAAwAAAABkBAYeAAAAACAjMPAAAAAAABmB gQcA6DknTpwoduzYUWzatGmU9u3bN54zzQ033LCRx9L27duLY8eOjXOUE65HacuWLcVzzz03zgEA AH0AAw8A0FMOHDgwMtG7d+/e+KwUGngz3jt37hxPqW76jbW1tVG+zZs3F4cOHRpNO3LkSLF169bR 9DoXAgAA0C4YeACADCgz8DG8+Z7Viu7zhmX7Vv0q6wUAgPbBwAMAZMAsAx/r/mJpVut5Wdl1LxwA AKB9MPAAABkwj5E+fvx4sW3bttEyZa3wvmx11/FYC7zvWgMAAMsFAw8AkAFlBt66wITTrV+7ku8f b6bcTL1vvU/1gffLAwDAcsHAAwD0FG+gY8l3jUl1oQlb1IUZ+7BrjW+xt8TDqwAA/QMDDwCwQljr Oy3qAAD5goEHAAAAAMgIDDwAAAAAQEZg4AEAAAAAMuIUA08ikUgkEolEIpH6ni4r/n+fV/OCX5vm IwAAAABJRU5ErkJggk== \sFigure 1: Average score and group tendency obtained in each Learning Style as a result of CHAEA diagnosisSource: self-madeAs shown in Figure 1, in the group of the third year of the Agroindustrial Processes Engineering career, the reflective learning style predominates with an average score of 15.4 points in eight students, which represents 47.06%; then the active learning style appears with an average score of 13.0 points in five students, representing the 29.41%; then there is the theoretical learning style with an average score of 13.1 points in two students, which represents 11.76%; and finally the pragmatic learning style with an average score of 13.1 points in two students, which represents 11.76%.The interpretation of the scores obtained by the 17 students is relative, since it does not have the same meaning in one style as in another; so that we assume the Scheme of Abbreviated General Scale of Preference of Learning Styles proposed by Alonso, Gallego and Honey (2005) where the ranges and values for each form of learning and the levels of preferences that correspond to them are indicated.Table 2: General Preference in Learning StyleLevels of preferences and rating ranges by learning stylesLearning stylesVery lowLowModerateHighVery highActive Learning Style0-6 7-8 9-12 13-14 15-20 Reflective Learning Style0-10 11-13 14-17 18-19 20 Theoretical Learning Style0-6 7-9  10-1314-15 16-20 Learning Pragmatic Style0-8 9-10 11-13 14-15 16-20 Source: Adapted from Alonso, Gallego and Honey (2005)As can be seen, Table 3 also constitutes a General Scale of Learning Styles where the students of the 3rd year of the Agroindustrial Processes Engineering career were located in the CUM San Luis attending to the levels of preferences and ranges of scores that it offers, and the results obtained in the individual order for each of these were taken into account in the CHAEA Diagnosis initially applied.The aforementioned corroborates that of a total of 17 students diagnosed through the CHAEA, eight assume a reflective learning style for the appropriation of the phytotechnical contents, of them two with high preference and five with moderate); followed by active learning style with five students, three with very high preference, one with high preference and one with moderate preference); then the theoretical learning style with two students, one with very high preference and one with high preference; and finally two students with pragmatic learning style, one with very high preference and one with moderate preference.Table 3: Location of the students in the General Babel of Learning Styles Preference according to scores obtained in the CHAEA diagnosisLevels of preferences by students according to scores obtained in CHAEALearning stylesVery low Low ModerateHighVery highActive1498,12,13Reflexive1,2,7,11,16,175,10Theoretical36Pragmatic 415Source: Self madeDidactic alternative for the blended dynamics of Learning Styles through the teaching task in the General Plant Technology subjectTo achieve an effective dynamic in the learning styles through the meeting classes in General Phytotechnics subject and the correct self-management, appropriation and production of professional knowledge by the student, the teacher must consider the results of diagnosed mode and preference, and thus give answers to the individual cognitive needs of these from the teaching tasks conceived and planned.For Álvarez (1999) the teaching task is an essential aspect of the educational process because in its essence it is individualized and personified, therefore the center of attention of this is the student that on track towards the fulfillment of the objective is satisfying their needs and elementary cognitive motivations.From our perspective we define a special type of teaching task called teaching tasks for the development of learning styles that constitute a set of learning situations and didactic actions that the teacher designs to favor self-management and independent cognitive appropriation of professional contents by students to starting from modes and preferences diagnosed in these, which as a whole contributes to the achievement of the proposed objectives.Figure 2. Didactic alternative for blended dynamics of Learning StylesCHAEA diagnosisBlended Dynamics of Learning Styles through the Teaching TasOrientationGeneralizationExerciseLearning contentLearning objectiveLearning situationsReflective learning styleActive learning styleLearning methodActive learning stylePragmatic learning styleLearning outcomesSource: Self madeAs evidenced in figure 2, the didactic alternative has as a primary element the results of the CHAEA diagnosis applied to students, then it goes through three fundamental moments:I. Blended learning dynamics through the class meeting orientation.II. Blended learning dynamics of the learning styles through the exercise meeting class.III. Blended dynamics of learning styles through the generalization class encounter.These moments constitute essential levels of appropriation of the phytotechnical contents in which the students will need new forms of appropriation that accompany their favorite one since in gradual way the levels of complexity of the phytotechnical contents are increasing.To be effective this dynamic, three fundamental types of teaching tasks are proposed:Type I teaching tasks: those that the teacher designs to satisfy the cognitive needs of the preferred learning styles in the students through blended learning orientation. As shown below, table 4 reflects four types of favorite styles that must be worked on and the number of students that represent each one of them based on the diagnosis made.Table 4: Preferred learning styles for teacher task conception type IFavorite learning stylesActiveReflexiveTheoreticalPragmaticSource: Self madeTeaching tasks type II: those that combine two or three learning styles in the student with the intention that this assumes and dominates other forms of appropriation of the phytotechnical content. As shown below, tables 5 and 6 reflect the possible combinations that can be worked through the teaching tasks in the case of exercise meeting.Table 5: Combination of learning styles for the conception of teaching tasks type IICombinations of learning styles (Variant A)FavoritesComplementary 1ActiveReflexiveReflexiveTheoreticalTheoreticalPragmaticPragmaticActiveSource: Self madeTable 6: Combination of learning styles for the conception of teaching tasks type IICombinations of learning styles (Variant B)FavoritesComplementary 1Complementary 2ActiveReflexiveTheoreticalReflexiveTheoreticalPragmaticTheoreticalPragmaticActivePragmaticActiveReflexive Source: Self madeType III teaching tasks: those that combine four learning styles with the intention that the student assumes and dominates other forms of appropriation of the phytotechnical contents. As shown below, table 7 also reflects the possible combinations that can be worked in the order of preference through the teaching tasks in the generalization meeting class.Table 7: Combination of learning styles for the conception of teaching tasks type IIICombinations of learning styles.FavoritesComplementary 1Complementary 2Complementary 3ActiveReflexiveTheoreticalPragmaticReflexiveTheoreticalPragmaticActiveTheoreticalPragmaticActiveReflexivePragmaticActiveReflexiveTheoretical Source: Self madeProposal of teaching tasks for students with reflective learning styles (eight students)• Observe how the preparation process is carried out in a base of production unit for a determined crop of agricultural interest.• Reflect on the final result of soil preparation in a productive unit of San Luis locality.• Exchange opinions with other students regarding the final result of a soil preparation process carried out in a local production unit• Gather information regarding the soil preparation process that takes place in a specific base unit.• Gather information about how the soil preparation process develops for the same crop in different productive units of the locality.• Visualize a video related to the soil preparation process.• Carry out a detailed analysis of the main causes that negatively affected the soil preparation process of a local production unit.Proposal of teaching tasks for students with active learning styles (five students).• Finding difficulties in the soil preparation process that a productive unit of the town is carried out.• Participate in various forms of soil preparation.• Participate in the correction of a soil preparation process.• Risk to perform soil preparation work.• Make a presentation about the results of soil preparation in a productive unit in a given period.• Lead a debate on the technological processes of soil preparation.• Propose solutions to transform the soil preparation process into a productive unit.Proposal of teaching tasks for students with pragmatic learning styles (two students).• Evaluate the implementation of technical standards in the development of the soil preparation process of a base unit.• Watch a video of how the soil preparation process for a given crop is carried out.• Simulate how a soil preparation process is carried out.• Check how the steps in the soil preparation process in a production unit are fulfilled.• Give examples related to the preparation of soils for a specific crop.• Participate in a soil preparation process under the advice of an experienced operator.Proposal of teaching tasks for students with theoretical learning styles (two students).• Read a text related to soil preparation processes.• Make summaries about soil preparation processes.• Questioning a soil preparation process carried out in a productive unit.• Register all the actions of a specific soil preparation system.• Listen to an expert's conference related to soil preparation processes.• Propose interesting ideas that contribute to improving the soil preparation process in a productive unit.• Analyze the development of a soil preparation process.• Methodically explore the steps to follow for a soil preparation system.ConclusionsThe literature review shows that learning styles are of great importance for the blended pedagogical practice that is developed in the course General Plant Science.The CHAEA diagnosis applied to the students of the third year of the Agroindustrial Process Engineering career showed a marked preference towards the reflective learning style during the appropriation of the essential phytotechnical contents.The elaborated didactic alternative improves the management and direction of the teaching process in the General Plant Technology subject because it proposes a set of teaching tasks that consider different modes and preferences to learn, which allows the personalization of the cognitive activities carried out by the students.Bibliographic referencesAlonso, C., Gallego,. D., y Honey, P. (2005). Los Estilos de Aprendizaje. Procedimientos de Diagnóstico y mejora. Bilbao, España: Mensajero. Alonso, C. (2008). Estilos de aprendizaje. Presente y Futuro. Estilos de Aprendizaje, Recuperado de http://www2.uned.es/revistaestilosdeaprendizaje/numero_1/lsr_1_abril_2008.pdfÁlvarez, C. (1999). La Escuela en la Vida. Recuperado de http://www.conectadel.org/wp-content/uploads/downloads/2013/03/La_escuela_en_la_vida_C_Alvarez.pdfBertel, P.,Torres, P., y Iriarte, F. (2010). Estilos y Estrategias de Aprendizaje en Estudiantes de Fonoaudiología. En F. González, A. Peña, C. M Alonso, D. Gallego, y J. Varga (Presidencia), Estilos de Aprendizaje. Simposio llevado a cabo en IV Congreso Mundial de Estilos de Aprendizaje, Estado México, México.Cabrera, J. (2004). Fundamentos de un Sistema Didáctico del Inglés con fines específicos centrado en los Estilos de Aprendizaje. (Tesis de doctorado). Universidad de Pinar del Río, Cuba.Gallego, D. J., Alonso, C. M. (2008). Estilos de aprender en el Siglo XXI. Revista Estilos de Aprendizaje, Recuperado de www.uned.es/revistaestilosdeaprendizaje/numero_2/artigos/lsr2_baldomero.pdfHorrutinier, P. (Ed.). (2008). La Universidad en la época actual. La Habana: Información Científico Técnica de la Universidad de La Habana.Ministerio de Justicia. (2018). Resolución No. 2/2018(No. 25). Recuperado de https://instituciones.sld.cu/faenflidiadoce/files/2018/08/Resoluci%c3%b3n-2-del-2018.pdfOrtiz, E. (2006). Fundamentos Psicológicos del Proceso Educativo Universitario. Recuperado de http://cvi.mes.edu.cu/redees/wp-content/uploads/2012/12/Fundamento-psicologicos.pdfValenzuela, E. (2006). Apuntes para una Educación Semipresencial. Recuperado de http://biblio3.url.edu.gt/PROFASR/Modulo-Formacion/07.pdfAriel López, Yamilka Milanés, Misael Leyva: Alternativa didáctica para la dinámica semipresencial de los estilos de aprendizaje...