O manãtodo revela detalhes denívelata´mico em proteanas e outras estruturas biológicas em condia§aµes fisiola³gicas normais, abrindo uma nova janela na biologia celular, virologia e outros processos microsca³picos.
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD//gA7Q1JFQVRPUjogZ2QtanBlZyB2MS4wICh1c2luZyBJSkcgSlBFRyB2NjIpLCBxdWFsaXR5ID0gNjAK/9sAQwANCQoLCggNCwoLDg4NDxMgFRMSEhMnHB4XIC4pMTAuKS0sMzpKPjM2RjcsLUBXQUZMTlJTUjI+WmFaUGBKUVJP/9sAQwEODg4TERMmFRUmTzUtNU9PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09P/8IAEQgCGQMgAwEiAAIRAQMRAf/EABsAAAIDAQEBAAAAAAAAAAAAAAABAgMEBQYH/8QAGQEBAAMBAQAAAAAAAAAAAAAAAAECAwQF/9oADAMBAAIQAxAAAAHy4AABbVYB1eMWGqBQa6ik6SOcdGoxmu055q3HHNV8ucWazBKrpJwrskOMdW5HEN/VPNkVKZAhMgSmVkLCsLCsLCsLCsLCsPbeN9j48R2azlFe4ymqwwkwgV9Q551KTCbcQFm05x2eYUk7zKabDESle1ZFUrMvU7UkYxjYVhYVhYVhYVhYVhYVhODQAAAAAABZXYdbjdVFxRE00SRr0YazRjjrKdmO4uryWHU4k9JtwZYmbv8AA2xbsZeVtHLjbJrs6PGiYoyaYMENxNAgzAAAAAAAAHtfF+08kd7k0aC63h7TZv5OorFkMvofO9k10Y7SFOfqHR89frJ01zmZOOSI6dnJ3TPMB7bpWKLE4Kto55105gCKAAAAAAAADTQAAAAAABZXYVgAAAAMdoSagARLacSgYDa07paMd8dHTgc1aK9cqxqc5SjJeCnIpd0CsanMACcfTHmL9Oo43Uh1zy60Zz2viva+KAAAAANGcAGyI0NNkbCelnOuy9yPcj59+ZPZCvXznYdmVEycIU3zrGOF0NeWBNRWAysKS7hxLNHQOF0brziV9LmjTQAAAAAABZXYVgAADCQIGggNMZd0s9OZPracdPNz6ee8x3VXZ36OV3c9+Jn6vJ6650S35HYyvRZO2+nXjq1UzXCratPOAJqdnjaDXXi6MuhXyssO7wtOY9r4r2vigAAAAAAGwtKTKw727dCS0Ivt3y8zY05K8Ztx39KcvO0dbi92kiEeiejLFr4+nGtfSv5/m12uR2Z1jVohtxWZV1aOXuNt3FznoPO6c4JoAAAAAAAsrsKwAAGgAAAkKyF9dNPZ4mzm26phqzmOJ496XRqNa3a+Y4bc0RKiK+M7aZxrsKIV6b6lFVQZbmgNWzPU+WZ7E8cS9ieNIew8jEPa+K9r4oAAAJSjPSayZAtjbprTbH0XLHK09Tfz15N21cM4qNHG2vNcrZ19enRzlnPS41mTfnk4Lp5rOtx93Nvu9B5zqcNOj4zRj670qa7savQcFZU9geOUPZHjQ9l5XODTQAAAAAABZXYVgxDQAxOUovCyDi0p1Wxpsjec++TPPPvzuKL4DTmEAAAADcSJtjGS0lY67U2JKxhZG2URqagAAAAe18V7XxQAADCanpKVt1bUSI31e6mzj6913Ityy9F5jo8JjGUX6WJGUIKyp5RJRlJxsjYtVGvPpk6549kadMLUqEdXNGqypgk1lQAAAaaAAAAAAALK7CucJWCaHbVrz3cdEKdmWF9NuZ3VSi1qogiUGrYJNWzGgAAAAAAAsrnFrbc2nPqmttOWlFWnXOPEXR522MRu1IgTAAe18V7XxQAxMJS2ZehF+1ulzPHtwoaYel3klZnvXopvrjo5mvl7YxYu7jcJKEIzhjQYoScZ2m2+N2Hp06aNWd3TONadXn9Hbl5/j8/Xxd98qkpwQAADTQAAAAAABZXYVsQ0MerLdTo3umdO7LRqoty1hG/NZWJDBonXaRrS5k0gNKocytsEBMIGO6orrvWO3PbrdDn9Lnjm8T0fC1plA6MRBMA0e18V7XxRZdXpt043ZCcnvo18vZ0Kc0ee7oKOqt6hJrbAhM0139C3Byo9TJMZTdXGmWGmOmNT1Qm9E3bVOUXXrhfl6OONdPdwc8aevi04c/E5vofO+jtTRtydWMAMswAaaAAAAAAALK7CCCTsrks5QKXuFGNnCKtgIJzGgcozi2jdX2uPs4ODv8XXOkT35p2V6KdE32L+TbzVXf5+1OcrIb4wcXbEnW4nrdLzuvm6Onwt3Psgmt8UmTRAz2niva+KLNmDVboshKFtbNNS5emFE6ejjIxHPdbmk10SzSrrf3eF1+OdOHqUctuRj14PUraV9Rjkr7tXPpy+lbt55w8b0PA2Zra16fPpzxM5v9d432fnVo876TLjv56vdh9mtUdNFcoAUo00AAAAAAAWV2FYANAwcSyLSlKKACYACU67a6dzqcjb53bDj6sW9Micevjloy2RfvdDgaeHr6fKoy3pVXZX2cqBzRAE9WW2m27L0KcdcNXSy6UzDWmMWya+z8V7Xxg9UJbdEq5KL2OKy2jRdTryRBUxkREuyqyZuvo0Y9PU1cvTwTj5bq9TDX6jy3q/OrPm8aVtey8+HPp2crVHe+AS7/NlKLtJ1uQYvSnD7fm9HOw+hzb58SmUOzIArVpoAAAAAAAsrsKwAAJ2Rvp0FPWqy05td1W2EQLZAA7qZV00yzxprZUo3xaHaiaC90OuoBNATItE1ACVtOqmvZ0Q0ef1cbLs5vVnWJb4WQcLPaeL9p4pnfLPPW9rjfl0VWT63NXEupiw149GvJ6HOgGJdTKba7M9zp7/AEvMbvMwr872+H1UGjogsrcrR33vXbXHPprQteWUUqxPRn3Y9dfZ53ouGs8F3Lxtx6t2P2MIDUZNNAAAAAAAFldhCTcXgK2E+rh63N03Va+LhfnUyj6PGgJoNMBkSIYRnFKaJq0A2pxaLtK6UEoWyAJgAJ9Hnzy6PSYM0cNoZLKennBF8WJntPFe18UDTLdvN7mPQu5KHmTj5cqezrz5b6+7hg5O+UJFsXk3GnVVXabclKksaIaDscfpZvU25q/K14nL21e1rkUoxyjTLNuO7Pq6XSx5+HTXioW+5juO7myxvpcgmqQAAAAAABbVYDrFpXUOtt+nDLDfrc22qrBGyrp500WoxBMV9datG/Vz7cmjucybc9SOjjjNXRezTZ1OXq5eP0nCi3PrkuzhQE1ACUoOLSdYmcBKg1MDQe18V7XxQAB0+dat6iXm+z5/XRzOvz9b4Ca9DiRJWQshLOdMqtfN1Qt3R5rcLpx9Hrxef4npvObVNWbvTfdn1YfM6+VFQ9iKI2QniRJRCY02uuydrpwWXYoTe+NVGjNXmE1TMAAAAAACyuwggG0RMp1uNNd1PRw15WbqYtM84zXFMaXszTz6O70PNbuLbq8fVzlsNV9PdyRsgrZ9fteb7PD2X8HbzLxnQdfGgJgBg3KLyrtjGtamTlBThNQYj2niva+KAAuszz2vb1uLPHbrxx+n8+vH5PqvO6VwuOvuZjpLLZdXl9nhPPHkzp1tPnJ75V0aauytfT5+rnt3o4d3na4+Z3uR1Tghrj155loqvjU24zdkb69Epyrz7YxdfXy1V6I15aozhnQAAAAAACyuwgmhiB2VSi3X7HB7HH0LkdrNMefNEemldWnPbOY0hW59CylQ4m7PdRNZuQLZgure7OEXjXfRpzzJMpvo6MWyWXSp2Ux6GSuuROvThcQtkxB7XxXtfFAADQWW0W6aaPWeR6fDf0GG+jirz7Mz6PQVUaehbGBtW6imOvLou58YrZfjmpvnznn09G7kuculDnSi1+jLZl2W5bJWrBaLnJONuXk6IZ41dolWunitnGOlq67K+XEAgAAAAAWV2FYANBJBE6u95rfjt1OarKXKrq43wVaIdHLUpRvg0AAA0DEANEkES1JrKbnXauN00VXU640tzzhXqzUX06+cBLTKKao9r4r2vigAAAc4CdfS4+yu3r1w5+bFOSdXR6k6px1Qqup156YtbefADOpOEpWJT2uSUbTd0q+h5XXjo1Zq9Nasq0vHsc6qeD0nM3Qy5vN1Sr9YiJhRiINNAAAAAAAFldhWAAANA9EKom/VzrK6znSRpdU0VKRfmiNTAAAANA0ANMnpz7cuqdWzHlvnspW/KtGYmuip0pcQtixAAHtfFe18UAAAA1oE6r9dL6JRtrfLPZx9dhGNpjRPPtwzISnGKlOiptwcovaRDhd16u35V+I+h0KW8tRdX6PU6JU9HNdXG2cqoOFKoDOAAaaAAAAAAALK7CsAAAYS24hQevHriaYjjRxvI1rNFcTnU4X5kyaIq2UaZ3ImkSycTVpOplpkOuY340NOTSc2jLo3wzJFs7NGMAaAAAD2viva+KAAAA25IkpVytPQx3U62st63Y8u/k497G25OftcfrpBs1wNF+jl6sy0Rp1c6Omvp4d3Utv8umnHHJSelHk5OyaVS/R02YL8lsJumVK68U4VhAVgAGmgAAAAAACyuwrAAAtuzxkhqA1oKb899d7rlKndZj1ZYimFkdOOqcJzlf2cG/k68+buLNwpasu9LOnwr6u5VzssV38aVW9Ii0a45wYmmb+fOAAAAe18V7XxQABbVI05ACSnaWasl53+g8ldy29dyOPo5+rRg1K/XkV77eRb+f0OGm7FvnyOLvnO95Rx4tFEU/WzuylWVRxbCUNmJABU+jzZkAAAGmgAAAAAACyuwrADTm0mdAAAbMbFODidUsqr0aYUtDhONslZW0aNOCee/oauXLn0sx6sW1IiWuMoomoNIWzG5gAtAgrJryMFozgAe18V7XxQAGqi3OAAxBfUkWKJebZ0Tm+p0W59lsIq4tpjnXoSozc+/Z2+WccEoxl6UxrK88mIzqAF1LQAAAas6uKABpoAAAAAAAsrsKwsCvZjAAAAvo0GcsZWbMciVyiYVvWYiySKXryFljK6V1vWjEWE1rNmOYFpDNfTrMYAAAAOde0xAHtfFe18UF9WgygAAABtopCzTiCWjNdNtdcoa9WqmotWdueuauWZY46sqKV3VZiZs0YyIldnDVmQdHnAAAAA0F1OvINNAAAAAAAFldhW9NJWAAAAAADQSSJAOCGgABpk5VzjWCcZzAEA0AMQAAAAAAADW3Iez8X7TyhnjbUAAAAAAAABKIaZ43fWZWVz154q0tBSoAAAAAAAAAAAAAADcdpjVlYAAAAAAB3eFrifYx8pGm3rV5GuY9keKVs/bHiIzX3J4YPcnhg9yeGD3J4hRPuDwxMe5PDh7g8Mz3B4gifbniGn2x4hI9weHJj3J4mddPZrxlUx7g8MTT3J4YPcniHE+2PEKY9w/DkT9IjVXzzecZ007B5yd9/QHnMtq+tPIV6x7I8WWe0PHET7E8XVNPcnhS1PdPw85t7Q8JVXP6AeAcx748MU090ePM9/YHh43w90eMso9eeNpu9u/FStp7I8TKj2h48rp7A8hVentDxVc038S2qcABAAAAABqy662vuhp5e7Nn257Tjrvq35YJl8UNIGgABoAAAAABiBiBoAAJSrcWlFNCJiYMJrOUZU3irGmEbYI97Tbi486MGnn17dJQ7dVme3NeqEdeYJk655pqCj0cU4JREylZRJIrSwjLSzac2kQaZCNYkm0wTWcO/NZlpZOLy6rEiu5KtzS2CLRloupt5gBNQAAAADZj11vtvxS5e2/LZTe1VdkdcYDU5wjKNsACYAAAAAAAAAAAAGgABpgwiZCcXTlZGlcpkaIkq3hCdd8ff12S4McXC9L5zPqjVZV1d9tdkJmpWR2zqcrIrnpvo6OOKC/MoyjSqAqAAlGUpyg9rgiIk1O8gi0qcuhxa06btfDvyqvQc7ScEOvhv0ZTr0K81dzmznzKdGffzgCagAAAAGjPdFplbp0WSrcaTgxNcLK780Uy2KAAAAAAAAAAABoJJAAA0DcZRLnG2u07y/DqpjrriccJ1bZquUL8/v8GrxuMd/mZ9mfo0q6q29lc6pNM2yhONUUdNle/HAatgoyjSEBWAAYmScZaSThZpYJQvLiLON3Q5HR8zs225buba/kdHldNenXVRpMrdXMW28rXj1yzU3U34ABUAAAAAupvi0VZXGpKtq2EHF5QIzUZJWskprEamoAAAAANAAAAAAAASE5OLq0tz2uuzPLbZSoVnNVdTvkgnbP2vi/aeM2qX0dTHqxnQ52e1leuMXolsp6McdXQ5l8CEU5rCErCM4wgMzqhgmA5RlpLaL2aRENAPXj6XNbTbpj5znw3b7uLR6jkt8OdR6utpru5qKbaseQAioAAAABdTZEyUHGg1ICbjSksU0JSddqo2V2yimTlECag2IlKLwJqJgpK2aY4kUhMCYK2N9dCy+7C9L1SrbAujmRmUS8rPoy6VUq1fL3njPZeK2Wd3zvfi1WLZzsdexztdlZfO6WXauvz3f4N8qVKOeTlGVpAUia110zV3ypfK9UjI9FWucXEvUCVUJX9LFh9BLX5diifPzl7sm7orfzNXKzvyRP2emyucOjLNVdTzcwBWAAAAACyuwi1Kt1MlGspxlXoiWTmYO6uts9dsLYVKcb88RpRyjJZtOurlZ0M9OTDr4lchetM6pSaSRZS0LlppOjXRs5rJThpUzaa6uVRv52yOeVe+ZFq2XvPE+28TqU4dfO+WPpzzreXu3Ua2or1ydPPp7GHWmGFsOrjTTQJs092vRjpwe9i0ZdGPXh3R0Uld+vP50ma813c53ofOnPbpq42mdbzU8/dzuqOns4uzSI8SXO6dxROy9jidOeaq2rl5wCsAAAAAFldhXODib7Kb69spudNy2q6NCm6hGeqyvTkBk1rrtrYKUXNbLI7M+izqYdfJrbk210nBDq12pzDXVtWhTpTPRisR1NHJ05tVEMyNscNelbOfKraIJrTFATHvPE+28RpJ6Hz2zGfY2cvX4l2p2VcWnRi7Oq7Dpo06eYr6/Q4IuZtSuZGjsxy6fO6raTVGOC7ZhS6ao76VrZrpkdB18TTnuz0jNXz+t6MUYunzNbSr61OmvMq7Ga3Pzjqci2VxS7WUJwyzAIAAAAAFldhW0E781td9U89lOyUqhNtcYKSrcJzagrYSgKcm1NNuzDZl1bLufdnbsX4NfNbRRHPWKKJUddHQVaVair0tvxzq1VURROMVfNuJJoSACY954f3HhrTKUZa26W7z93FbtvhRpPYjhln6VkY2zrnq106Y0Fx089NkyEd+DZyZ6t/P28cactzynBT08m1oXIaaM8s6dOXPi6KXSxdX1OeXN6XKh1Vjjm0TqqjHbweryZhuJaXCUaQAAAAAABZXYVgDlCUTbOgja5UhbCIrMQlKSVipKaOUBNjg40uszumnRu5l2VtJmcTdBCM9NlO9EBbJNEwhE0bUotFSigAmAA934f3HhZTcJaWGkWxjO9jVlnzdGqWd8/bcUyvVqyvaopV2zjZWs8ek6LePotsxWVjUs9tcdc75c9eLzNsfZjJHoc/qoi3PMWJRziCvz5Zg0AiDEEotAAAAAAAFldhWAAADQNA3FxMwnOlanBVIFAAYgbiRNllM40vnnsz1nCNU1cA0yBCGIQgJhyiRZxCagAAHu/Ce78IOUHKSSJSg5mxJ6Wd+e+u00E7NMpKTjekoONE9GTTy9V8I5lpzyx6vL9LDzkeVo6vD7vbHO3UWTO7hdDi0z7tcZUiXD7nCGgAAABpoAAAAAAAsr1mQ6Ic59AOedEvHOXRKTzjohgltJnDHoEOedARzjohzjohzn0AwPeRbA9rMMeik859BK4F0A566JMc46Ic9dEOcdEOcdEOcdEPVeE935o5J1g5J1g5L6ocuXTLzzdOuyd8C6UdLY4dBHOlucRz49NHLfSKRzY9JTTnV9WM05K6xjXlbr3MxxdKGl+fT1TLPnHRDDn6wck6wck6wck6wcpacwAAAf/8QAMRAAAgIBAwMCBQQDAQEAAwAAAQIAAxEEEBITICEwMRQyNUBCBSJBRSMzNFAVJCVE/9oACAEBAAEFAu0EhOTTk05NObTk05NOTTk05NObTm05NOTTk05NOTTm05tObTk05NOTTk05NOTTk05NOTTk05NOTTm05tObTm05tObTm05tObTm05tObTm0r+l8mnJpyacmnNpyacmnNpzac2nNpyacmnNpzac2nJpyac2nNpzacmnJpyacmnJpyacmnJpyac2nNpzac2nNpzac2nNpzac2nNpzac2hOfT/AAwP/lSnS23C7T2USnSXXLbRZS4/T7yNJWU146kr0d9iW6S6pE0N7qNNYNRq6Gq1NqW2aptBeFrpstjaG9Umir6l+tC2V/p/7R/9CyaKzqanXKBd+nKq1n3+xq+lVua31FPXXUlaKpVpbbQNLabrNFdWjVOta1O1cTQ3suk0rHV2aW34k6K4AoQ70ulv/wA/UcdJpS9BosCJU9i1aW20fDWm63R3VoohG6iMv3X4f1M1hK6eolv039QJErOpsjpQLX+sU/JpantOovNz3V189b82qJ/+mPGp0ruNUn7L/wBNY/FN82nFdWipGnsp/Tzwnx0/T/NuOvoKj/8Ann3+xq+lTSkaKrWUmm4UaXDkj9K0qu1OlWhZT/m0eo/xaQe7tptQyLYn6loyf/paZi2vt/7f7VbLetQz9Ffpei/5yxH6To+A0VFmlRv5mJie094/3P4U6qtNO1+mK1asCq/VdRE1a9N9axsOsqy2szq01HEJrKhp31FHFtZU81Gq68t1S2P8Uw1XxtayrUcBpruhafLai7rSlzVb8Uoeaa/oNpNT8O1Go6V/ucfY1fSqWVLL7mvt+JzpY1+dJp9T0kXXKk0CWfEaqzq6ifGVvDq2OpGqRdSrlLG1qE2apjqvjawaNSVavUCqfGKEN2dJp72oPxaKsHYfEP3P4fZKuYBCIR9gqljOlZxlNKtRtV9K7xdYK/QEEPmCpjODCIkZPHHt/nvAySMFarHE0tQslgAf1Pw+yrmMwVmPXiEd2JxnGEd2jakHRVizVHX3fE65AmqrYaeXVmq6VfSvWxMbr5ZPYoZjEbyIYNuJM6cIx36E0JZcOWt1epspv1/7hp2+F0uur6eo9T8PWCzhMQCKsqWcBLVyCnlxjfEEAmJiMIe39N/2/p7cdYaLPibEF36pbraWs12LqpV9K9YbAciNNFp4xRFxLUnRaOsIg2TEbxGBhqfHbov+uw8ddr62+K1KEjU6mlHuK6vRep+HqIMlaYK/Jr8PXiYgxA4E6uYPIt/bHOdhukOxjdtVrVGfHajil717C5xTKvpXqjYyn5hMZnKEyt8t442+xOdjFaExPLcSQ2jJjAqd63Nbuxdq9bfWq6ixbiSxquer1fw9MCV+ChyMQ+1jTMJnKczEvxLH5doimFpmHu02r0qaf47Rz47Rz47Rz47Rw67R4PvV9K9ETExFrZpVp2eHRkRdN+0aZcdGWnpr1cz5pk5Fph8izw+ZmfyB+2hOTqnglQNQwa+HbRanT1UfHaOfHaOfHaOfHaOfHaOXsrX+n+HpptW+J1I1ksbM5TPoiZhMzD6tX0r0Rt/NKg06fAlmOIbwbAo+Krzq7xZAcEWjHOc4bWHYIlhlFvTZtWONljND9t+HoiGLFEIhbELwn7I+lV9K9EbCVWOkW9Z1v3cxx1Nxssg7A0znsESZimEzO5H2f4d2JjcQRPZiI8PrDbG+PSq+ld6ozlqGQbIJ7bCZ/wAbDie8bgRYYohSFdz9n+HaBAsMxsIJyhaH1xsJwnHEwIyzHoVfSu5FmnqAlqrwImIu2IgmJf7wQ+gPO6+IfMVebfDoFany4wfsvw7BBBGEOwmds/YZmYkX2Y+eJJWrxbVj0KvpXaJpv3Oi4Gqcmfy0U4hbOyNiW3eCc9p7knifyvsZW/G3nyPQHHULiwp9l+HasQRxCIds9uPXUwPPeVT+Low891X0qKMzjMbYlK4nxDgfNGGCd/Gze/fxmNgIN6jGBmPKocqSV1alWJzCPsfw7VitiFoTDD2jbEx249HMQ+azP4sSWDz3VfSomxExFg8QmCzjHszOU5Rd/cppxiykCdMQJ4xCsxtiYg3JmmA44WPZXA68K28av/TGh9/X/DuzMzPeIogTIdMQ7iAQV5hphTExMQjsWVtFslr+GPnuq+lRff8AjZJy8MduUzBAcTnM5n5V+zrkFMR24jlM7CtociJXzK0CNSMN4MRyka9mhMqcqafbVfuQ0sIcxh9h+G+dxD6CypcxE8XCWDzsIvvUowUzLKoyQwntDRWjN4PfV9K2G6iHY9mZmAzMosGOUcZl6Y2X3qq6hbTcBiAeR7O/i75uyv56R+2z38Gaj5piN7+r+Hdn0V96RP4tlsO6HzU85xnEtMbuWAzHhlnGY7avpUEA2/mMc+iJScWcvPIY1NgO1A5WVJxltg48ti3gyz5u2vWsq16hLQZeM7FvX/D11lL4jWeHfMYw7rFadTw1sZ894g919mWY8OO2r6UIBtmDYnY9w2qiK9hIesZhmmsFdnWQJqLzZZVaROqoU3QNmOPHcpxF+Xp85bTxh9/W/DsEAnT9ETM6kLzPaGnKZ9FfelfD1jD+IYYN6vpU5bg7CsmV0iX1Djx8dibIZoyOLAPNZpgK+wHdTD57R5gXakftQcBqn5Aj1/w7BAIgyLKYfEPcJmZ+yqXJRcAnxbiMe2r6VsDPecJxxK6PGOEtOVPjuE9ot6iJrq5q9YLE7QrToWYUQnbMzsvuJWubK0GLn8WHMdYfW/DfERZXVmKoWXMArnz9yJQQDz8PYY7Zh7avpW6HznxVWXdf2zUWCE5lm+NxG9DRVBj0ROAxqQBc3aoimIIr4lreWeO2YRMer+A3EWUmN7XmH7ECYh7xMxLI5me6r6V2aSvkFXhGaWfOSIzZ7V2K7nt0lprYXcpbYQvloVh7EM5DKMMPd5LZhGx9YfJM7LFgbjOpmXejxi1zhGHYBAkWqGmMMQ+hmZ76vpXZpdR058QGnLItXy3cu6JktWDGQ5p0hIup/bMTTrm0LLjhITD3KYYJn9uNjD6n4biK85RTLYe4RRmJVFqj1ywQ7rK1zESN7X/Y1fStwIBFPFleMcyxe4QeZXXmcIwi15NJHH9QsGNtNWOJ/bLf3KfEMPcO5z6v4dyGNG76pWwmRCMy8Yh3BlTSv2tMuPo4h76vpW67fypGCRAvKdFDLU4Pv7ytcxK8TEcqpodc2MirYSzbae4rOXIcczUVjBEPcNhDjYxvV/DuqE4eGrjL2DYHEV4ts60tbPbUYlni18xj6GNjueyr6V2Z2BMrJZ6qxixMTVA9TESuGoT9qis8XFoAfUDDksRviAeVWI/GI0v8g4ywnCYhmNuJgWcfEOxnGH0/w7RKFg9rV8OjGMpBCkzpvsFYwhhMzjZCSIMtCr7BWMKsIsHMR2MwTOm+wRjCrDbpuABMTjDueyr6V2jar/ZU0+aaiscfhwCKjHaBGaGtxP4NVkYMsQci1VkzEVngrdYWAHFzORqjXG2dKyH3RWYNUwUrOjZioTAwR4zGMzM7t6f4dolLRDLPa1hXWwLH9yHq2bCx1DWOwnWtjMWKuyTrW7LY6g2O0zOtbCxY8is61uy2WKGd2Ep1BQWKFZZjwwjd1X0rtEHmYmnd2mDWtjZQsefKMfOzHEzMzlCxO/nbO4J3zMxLemwp5lqmrBbwW7AZmN6f4d1J8ofDW4jHkVEdYw+yG2NgTxWZhjd1X0ruU4nKaNwrcgQUGLQFujCYmI2x7B2ohaJUI1YnHxicYVmkYAH/ACTUUFE+x/DuEqZmawgsoHSDRzDsfsMTG1agoIVBqBhMbuq+ld9al3JXnTeeJ1ow2WMJn8ZxG9ADenGFlp85ghMq+YMRNLYpr1t6dP7H8O9LOCBoLB0MzOx+wRZwjDEMrYBJVZxPKFu+r6V31uUAiNxWB5nyTMiMYT6dbYKsQG5Ws2nfGRsjcDyldhrbMP2P4dyVlxsNszMPriJ4AbxZtjdEaz0KvpXdVX1DB2D3mYe3jtjsAJml05yQAFI5+ON3+zEO6IbG+x/DutISvZAOj2AQ+mBAkWucDPaGGVgMmyOUfUcOXdV9K7ndVpmZR8kQFpwZZx5Qo0IIh3HvgmcJxh8GVaXkKtOEITEuBxQg43fsje/8VfNsCQb+LfY/h6KEfDbCYgWEd3GY34wL5rTM6c4DFqeT7GVECv0qvpXbg43rfiJoUBRqlIbSiccSwDjMTEpUYxMwxoq5ag4DOBPi0Et1KmJqmQXXtYcwGLZxP2n4dlaF3vcMewQCAQLOMbbGwiLk11Di9Hk0zpThiKJXiM2JzlzDDHvb/NR21fSuytDY97gnt01prZbxjrpxbzC3hhvXlSFzBSMPRBT5rrCknDWN+3bPhz6H++j1/wAOxWK9qpmmKYDOULxtidliYAreYzHAAZozTqRbo12Yboz53rTkvYGK91X0rsBI7aPk26rTmwIflBGmIJmK8FwxzXG1uoANlxYbFuzT/N2KxX7D8N6UDHtT/lggMzC0zDuIGlbYItwGszGjb57af9fbSi2T27KvpW9FYdmOW7Es4DsBxOWZmZ8bI2JmZxKCCbeITMzCZy7a34HtpCuSMH1fw3Ljo+hmZ78zlA8BnKMfWHg2v1H3q+lb9T/D6a9o9w3hjmB2Qvc7wQw+ra/Ub1fw24Hh3BM1do9DlCfRROSd7oUbar6Vt0z0u7TlZYoUoAzdFNq0DDpqgnTXDKFK+T0ljeIgDR0UCLWsswsUcm6KQ+6IrBq1CysV1jvtrNb+p+ERS76hwW7q7TWHbm1bcCbvES3ir28xmdeO3JkfgevstvEPZzE68duZR+B6+yW8Ve3mI17FO/Iso2q+lQeTc4Y+mnYDsfteQej1Pw/8yr6VPb1ROU5eCYDM+CftsePT/ChAzO3J/tc/Z0EMCMGr6VSgZrHNj/8AkUMDHUq3pfphqB62jx1dFOrop1dDOroZ1dDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1dDOroZ1tDOtoZ1tDOroZ1dFOrop1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoZ1tDOtoYbtEYvAp06sdKmdOmdOmdOmdOmdOmdOidOidOidOidOidOidOidOidOidOidOidOidOidOidOidOidOidOidOidOmdOidOidOmdKmdKmdOidOidOidOidOidOidOidOidOidOidOifquPivSq+XE4wiH/wAmj/lPsRm2wDJgjGEk7HMzvmEzkZyMzMzlGacpmBjMxWgaFobDOZgedXEN7TkYDCZnYZnmNv5j+/pVfKJiERhD93nvHdT/AMhmf388nOxme4mZ7OU5d/IzPeDiZ3B3E9y0s9/Sp9gIBGhhh/8ABHdV/wAeTizIP8+05RjnuY75mZn1j2CY9Cz39Kj2GzRof/Bx30f8vCOnhxxdtgMwjtb2+xEOwUmJXOE4Qrg7YmJiYMf39Kr5czlOUP8A4QEx2Haj/lEeXHNrbCGD3O2PDfaIuYqwCIFnGkpcajE03+Ous2WCvTMwWtHrr01hfjyt+b0k+XMzM9h+9EAmJiYh7KzjRC9cPqVJPk7A4Gx2zG+yO1XsIIBB/wA3nlQxI0X+2r59Z/02f4dNLPf0l+TvP3giiATEaNsdv67MWDEIG2PEE9yfH2mdq2xEaAzzGbjpsyixVWizp2j4ZWduduqsFl0s9/SX5P8Aw1ggaZjRuz+ugMzMzMzsDBiNtn7QStvK24nWllhaLUxhoaAYmY27+/pJ8sP3+JiBYBsNjDDv/X7VaZDR0NPDgM9DJTTS10bS/sqoa0XaYpWftqKsxahDVOmAUWcJqa/Gex/f0l+XP34EAgWBYVnGYmdjDtmf1+1aK/6f8PVKn6b2uX0IsYV0f4U5kgqo0h9ACcfUqqJlVeBGM55ZDtqj/j2xDH9/SHyduPt8TExFirAsCzjOEdYYIYd/66ZlVfW/T/gnjKVdvp+ipDC2i6w0rVbUoXSVw9whRkEFZM4TgROmzQqVO4UmCqVUxK8bEywyuucMQnE1R/aYIZiP7+l+G4g7AIYfT4wjvxMRREECzjOMxHEddmh3/rtl8zoMYUZIJgGdMQ1zpww92mr6uosb4qtF8oa/hqumJrfMS5lr1fL4TapOTJUMdICIsAmIyxh+6v2lsvbLHYz+H9/S/DfG+IFmIYfSQZi1x6oUnGcZiYgExBAIgg2zs0sjGE9n9dtpq4tcarMfT+TU4gmJiWr3CaNRTTVdWj319O2j/RNV8vScVfubQ420sSET2IacoxljSq4Q3qBdqORzMzMzGj+n+EEG2JiCATEaHfEPaBK1iCMsZJ04a5wnCcd1izMYzlOULSxo3b/XbaU/tXbjCksTD/KSZb7bYmJiL78yUju1kFjKsaxniXPVLb3t2AzKqiqo2JyjMY1/CfFRtVmcixhh2zMzMzG9P8NhBBuDMxjD2HsWKIviKdsTjGEOxhMzOUDxXjNC05w2Rm7v67ai0oa7sgPAYT4vb92zw9v8o+dsZi1w1R0IhEwTFqiVz2APnlHbx5sdzVpYr06mV1tY9tSV6emtOBWnUV6euroOlF2m3Pp/hsIIDM7ZmYT6KQGcojRTANnjGZhMJmZmBoHnOFoWme/+t2EraC2dfEOozMxmEzsRMbYnGKomMMvso8qIVhWOk4QDb3EBlpwumx8Rq8jVV1aWxn/Za/0/P/67Qf7qCNPpOa6rTbn0/wANxB2Zmdj6GZmKZWZynOM0aGHtzM+l/W7gkTqtObTmQepncCMOwe5929q2yAYrQtFlhGw2DR7VEN6yywvt16blW3TUlzyZ7l+E0+oFYbUU11UahBU2opSrc+n+HYJmZmZmZ9MQGI05znM7ERvsP63vBg2zMzGdx7mGVHYMZzMFs5wGAQiX2cdsduYfs/w7czPr5gactszMzG+w/rfQDTlvmAiGCHb2iGZ2MzKoseajHUq09tynR6hRAjNMwq4REe1rKLavs/w+3B7CYT9h/W+iOzPaYsEx454BslduGS0Yt1CqGbkyfTK7bK21yjrU2I1VRqV9a/U0dbGn9O0rtdT9l+H3GZmE/Zf1vojuPYpgMJjHfMztUC36ZXprXbXuGt0XyGaj6fUpv/TtLW1FP2X4enmZ9XP2f9b6KwQ7DcdmTOW57KtRZWram5gTFsZNjYzIjtW1l1lv2dXy/wDmf/x+iP8Awrvm7f/EACcRAAICAQMEAQUBAQAAAAAAAAABAhEDEBIhEyAwMUEEFDJAYSJR/9oACAEDAQE/AfIhr9jbxp0XV/sNPWv0qeiQkbUbqJu3+mtKFEcLHjooRsbHja86QjYiMYbDavgUOLHjlP0ONfp7RRNohEqPbIxSIwJpElT8qx0jgUYkl/zROvZv4FkVEpbn+lFauRvI5aHKxshIeSkSnaHz4qIoaot6JmHPF+yUIe0ZsiapFmJmx3Q8VFeZQbFwyPLNpN0N322XZsFwSXhSsqiGBbeR/Tq+DJCUfeqbWuCHIvyMmOTKJe/JhimOPBNJEOCWWhvvjRjlZJIaJKiu+Kt0bFQqomqZmyKtvajFBbbIezPL/IpNeh49yteTC6Zu4MkRtjlYhxv0ba0UbK1i9pvvSS7cUU0OHJjwJihHGzqKyLt8EyUOeDpNj+maHjdjwkIL5N3HA5XLgybtpRCXFE14osUqN3FjnrH2JcGWPGkBwQ4EktExMkPswz+D2R/yjLkbZbIZXEjnbfI+JCRlzSHkIPdwbP8Ao+NN7EY4WTXNEo147Y9YcsrgkP2QlyWORPWB7JRRWsFR8l8E9YlnWROdsRimkyUkTxqUONURdcF2xu/FCI4E1rB0OY5vXe67cfLEiXBfJN6KRji3yiTd0QipKjNFRekXTPyWj1sU9sRln08U1ZJ3IxYtzMuNwfgUeCKsiN0TdvWtGtUrOmNVrDgsyPtx5pRVISbMKUVZme6doojG2bXXA1qhIlj41xyqPA4Ih/hGZ72Nd6kJ0JjJ6xW4jjRKPBRCPIoolVEveqkb2N32xTMXJkVIrSHs6nwhRW3kfvSCtnwSfA9Y20c0NcmT34UxeiUdYKi0P0TQnRF2ifovVRJR4No+xSMeTaSk2x1RGDkfbtC4PaOkSx/8MeKT50guaH9O74J46KMUGytqJscb8KYmM6Y0WzezqMcr06lDk2tKEY0miUEkS4fdAmtpZCNJUSs9K2Syjy8CmyP1O1UdRsjl5IP/AINbvZL/ADIx5ombPxSLLH4Y6fBOHI+7k2kYMnFIx1Eb4MvvuTo3dTg2P0Qi1FIlRmrb3Y8aqzGlQ0qMkb9aN+SxSsU6JOyu/GhslciyWVvwQEyGV/JKZllzootlPVSlRHJJfJPI2iUno/KnR7OnwPHSJCVnTNpsIx0scq8imzHU3TM+PaUY4UrZBwZkx7WUUxY38kppkmX58L5pkUidUSSI+yKocSixscvKj6dRsyY1JHSGvgX8FtG4m4yZbVfpJ0dc6rZIi6FM3EnwWXY/LZGbXKI5WxzE1ZncYxtG89jf6qY3eqkSf6MVbNtaSY5Xpf7SaH+ksrLY5X+ilbOkPFRt8NFaqFko1rt0oUbIYtzo+0/o/pa+T7b+n239Ptf6SwpfJ0zo/wBJRoSFi/p9oq9jxx+GdL+ixX8n2/8ARfTf0+z/AKP6X+j+naHx2w/IihonEryKVF2bdImwlEiz6V8tFcko6IyT2jlZZ1HrZvlrZjyUQd6tk/y7YfkJ6SWj80YWbCiZE+m/MYxoUDP+Xihj3GxJGJ/6qjfF3/BSiziXBP8ALtj7NwpDJ+VEEJaSZNkI2fT40lZQxsc9pklfetcMlRJmGrZJfkkbre4j+JP8u2PskqFI3EpCQ141EjwKRuJCVkCGXYRzWPIqs6i9k536HLuXYmcibRiytS5MmQbJe+1cG6xGw2CgSQ9VE26Io2sihLskzdRFjZGV8G/ajd89sIp+x479C+nZKO10+xD0hyyekvfciMSJsKJoaKIiFElA2FaJaPWTGIToUmhZP+ihGS4J4qQ1qoS9nG0ddRMzwT5ibRDWktMUadslJaS99yMfJQhkiiYhISGUV2Mssei7Pp00SjaJ46NpwhTVcDbfCIzafJLJH2ipSOmzYzakQr5NyqyeQ3G7wYpUKRuN5KRvG7EiLL1sZZY5DZY9FpwKvkxVWk8Z0zYj0xaJCaPQ5ob5IjnSG78SYslHVHNl6MTExSLL0m+xD7rMOWuGdVfBvsYxrmyOJTJYthN6Nllm/wA9iH2WRejY3ZZfjxss3G6xswS4M80ojkdQu9H+jZfbZuG/ND0biyxyFJolNv2N6Ib8X//EACgRAAICAQMEAgIDAQEAAAAAAAABAhEDEBIhBCAwMRNAQVEUImEyI//aAAgBAgEBPwHx32rSvp7ONK+7u+htelaUUP6CiPtlIWQT0ssvzxj+xySQuqdnyNuyL4s3nypM4lyiivNesp0PLyfJZJto9ckG3q2Lsfii6ZlyccDzSZtbN8ocHTtzJQdDVM+dw4MeWOT19Fsmr5GmyEOCh40xRrR+RG0ijPl2EsjslOW6kYcc5zpksO30fHZhxuDLozRb5RljJs6XFs5H6K8t6MvkivBfiiiWRJ0b6ROW72OJ0mOKk2Ilq0MlRDJtPkRJ+KJIZYhm3wMkbmb6IyvuRmtQOZSL40ldHTYpXuejHohydkz8cEHKPLZF2vJLRPssvufJsofsxS57rSMk7Nn6McJJWyRGmTzKAupTFktj5KJSEkzNwiGRv0hzl+jpHvhyZI14X3sy5KMUr0kfPyRy32TxmNdqVkuEPHbIw2otjin7HCvR1K4shJo6eCcdxkybBdS0ZM0mdLKTfJKCapkccY+jrqTMOWUFwQlvhZKNedk09xjjWklwSxmPDQtZITpkZ9ijRLk9Dem4TMqqI4EEscKR1bluF00ttixSkYv6MsRmxxmuTJjUPRh6rb/Uk78TYsn7FqzaJa7e2XobdmPnRPRZDJkpmTLt5I5JOVidrRE1uRlxTu0jp1NQ/vonQ8kfybE+ThDkZJHUTrgxQt7mWpK14GMyyZBbmLw32TW5URx0yKrtzVFbmTn8jMWNJEY8CiM3clbh6Zb28ElJuiEWo1rONkoObMeIxY6RJV3saHH9kUkxavglmITvRsnkMWRy99tdzxfIqZm6f4nSMEq9iGiROVHyu+CeV0YE2rOpnsgQ5ZGVko8lCPweiPol4pOmQktZconiMcXYtM0TDGvHGXBnxb+UZf8AyOlyty9ksqiPqNypIzbrMOCUnyfxP7XZ/wAmZqSpkouJ08nR8n7E7WkpkXbI/olDxTi7MfBu1o2laONiVdjLF3KXB1ePe7Pj2VRzXJij+T2RhQ2e0fBbH0qYsSxrgkkIyS/qR59GPFyJ0cEvfhyQb9CjQrsT8LYtUJd2RblRkwz/AARXBAx3uHohcj4M2WTZFsVk4NqjHFxmkiTL8lFC8E2RbsWlaX3Qin7JQVEoUY0ei9UNnUZY7qRLJKP4MOO+TYrOESfjrssvW9LJ5KN7FyV4k9MvU7ZbSOa/RinvXJRPLzQpM+TgyZpylRjxz3XQsEpMxqhypm6yXjvV6LRmVtiytFtkoNkYshDb40izP0vyStH8b4mQe03MypoUpxZLI2Y+mnKnRs4rVv6NFauJ8RDtXis3HElyLEhQZljaI4nN0S6R7/YvXBOT+pXa0L6KI8aVwbq9aW/q3219PeWSnf0X6N5u81i7s3UfE6o/lf4fP/gs1kXu19m02FDjQ+D5Dn9Dm/0Ld+dGz5C++XokyLF9K9OrjdGOJtIoQ2JWJKJJpl6Lk2iilo4pmxE+DdpuLF2y9DiRVC+g2Xojrnyjpm3oiyzD60eq1RZlz1whzbenJQ7QvXayitF5mSkKQhGbCsgsah60QlZsZGNaPsREZJmaLsYvSF+CvwJdz1rzWNjiJC0grRPGONCQiJuE7H2R0vTNSXJug2PKorghm3OmQg2KFKh91aWWX22X2WSY5limURKIeiTJH5FL9i0WjNxvIyvRtInnjEz53MxQ3MnGPoxY/wC6MfBRL39CU6I5EzcWNkmP2JDVEeRLTGZpbFZ/K55PkT9G9ox5eaGr5EMc0buaE+CDNx1OR2b29Onf4HF2YsTTtkFzpL34Gxi1WkpUZOSIpsUtGhojZtshGtYHU43OPBKLRbRHlckPZGRSJrgldjnRGaYmSypEnu9kUQ6ZM+CMfQopFikbh97KGLtkrHHgaYo8iQkUOIoFdkT2jJ0tvgl0dcnx170i9JK0ZE6MlitEZsYot+jFglfJTQ4t6rR+Ciiu5ocDackfAhMs/wCjJjNpGGiMkeBocUONI3cnSxUYWJobHkL89FdrGhR8SZYmXZFDjZsY40S9EkQx73Q8EaoXRxT5P8K54H5V9myOlliJQTI1H0SlpFjkN+H/xAA6EAABAgIHBgUDAwQCAwEAAAABAAIDERASITEycZEgIjBAQVAEE1FhgjNyg0JSokNigaEjNBQkwXP/2gAIAQEABj8C2TI9ViKxFYisRWIrEViKxFYisRWIrEViKxFYisRWIrEViKxFYisRV5WIrEViKxFYisR1WIrEViKxFYisRWIrEViKxFYisRWIrEViKn/YsRWIrEViKxFYisRWIrEViKxFYisRWIrEViKxFYisRWIrEViKxFYisRWIrEViKxFYisRWIrEViKxFYisRWIrEViKxFYisRVvDOan/AH0TaN31K3xYeqrNEm+pVV7bTd7q5o9iUxkQWzuXiKjWlvX2Qe1th91Xe2zNTkGz9ShCc20prmMFWYqotqb56BTkD7Ap1QTq3qtIWdAaBPC20pniGCQNhUd0gZN6r6cPRRIjmjDOSrtwvFYIVhMxJ6cn8EHC8Jsfw4xWOaOhX/jMkXfrNAc0WHqjCAmReq0gQL5FNeRuuuTogG62+icgJ9CVUiMsbiCLA20zICbYN7pNVDfOS8ojf9FOQn6TUVxZbKTU55FjTIpzmixt6Dmiw9UYQE3BViAR1kewHNfko8OxuCpNRg65psUJgwVLFBA6HcJU43iXOfP9IUPJeMVry2G28psKFYwWNHqv/a8Sa/o0LwxbO7qgPcLxjm4g2xMIJmXWrxhZ0CvvBmjmiYri3zbLE/w8KIXF1omo5IubcV/14Wii/YUz90N0kIYuhsq8n8KA6KTOL+n0V82utBQn4q37UwA3vUQmL5cLqVFEKI95qHJRIPVm81QoPV2+6gGK58KKodeJXrXFO+SaSf1J33p56hlmirNJrzXi68w6Sif/AKLxP2psur1Fc8uvtq3o+X5pmLuwHNeTEhVxOd6Ib4aR9Zryo0MRGC72Qhw2CHD9AhDjwhEDbkwsaGth3NVdvhm+Z6pkephFqjCr9T/SbCdAmB73r/i8PUd0M1Xf4Zpieqhktk5qY/ypPBtM706OwSn0VaF4drX+qi1hWMQKvKdlDZNqtaJAJrx0UZwh/VHrQ4ynMSTt2sD0RikTnyfwQc9tYDoi9y8mI2tLCfShsGVzpzTob2B7D0REOAGsItTXgbnU+yc7p0oBjeHa946psaQ3bgvOZClZaJqu28Garjw7RE/cvPZYVXb4ZoieqiGI2uImJPb5QMJ36U+GyEGscJSCbBq3Gc0bA5rrwUfIgiGT17Ac+zSaJ0VqjpesqK1Wd9Z37afhwPLDzV9OLdyEgpG9TaxxHsKHblc+k04NunxTn2Z8OCJmpa8pjXXKdbdnhTqtxtUHw7v1jf8A8pzD0NHw5WYU+PDkK0V38U9vq9eVBNVrFCjSkYjbUIv6ojv9KbcL94cU59mifYUyeS8uqZzQb+lgE0SfDtd7qH4lovsNHw5GWxarODdtQ804+kRFwaSH2heG8P8AqlavJMAPEOxV2NqmEbvbinPsxLOolRVrp9U476DC/QaPhyMzTYsVqk6g7UzRPqpHYD23hFxvKqtfYvNnN/qUSbynVP1WHinPszGvG8Bbuq7+Ku/irv4q7+Ku/jR8OLMCm5XUWmxWU28JxF2xVii2forv4q7+Ku/irv4q7+Ke5uEmziHPtvw4o2LViCk3hSVty3VaeXOfbfhxbLl6Fb06D+0dmOfbfhwN0KZG2RJS7Mc+2/DgmfMSVy3eUOfbfhtgUVduy/kqvKnPtvw2/dS5oOonyZz7b8OFZtS5C1CVJnyZz7b8OT9lLZtCtV1BFFlN9lFUdaJHkTn234cpOn2U2q7gimfJHPtvw5GymqNiXDkWqThI0THInPtvw5GsrFvaq2iZuU5hGqbFJyv4Qpt5A59t+HBnwC2iSLheORAokOQOfAn2X4cCXBmprqqjNdq4qdXhy5E59t+HAlyMzSZcCfJnPtvw2Zmk8lcrFPgyB5I59t+GzIqyixHgzlTNEOG8Nk84c+2/Dasomp8C2mdEhfsy5w59t+HCuUtmVNqkpzUzTI8hZxjn234bd6kaJhTotosGxM7cjwruTOfCsBKkRJWCawnSixpKtaRRhdopGasE1hdpRY0lWtIowu0VokrBNYHaUWNKtaRRMtOnD+HAFEqLFcpKwTUy2jCVJwkpBYDRuiam5sqMBW9YqrAsJo3QpkUTqGSmeUOfCdDFj7LQpkzU2khfUdrRJr3AZqTnk/5o+o7VTcSSt0kZL6jtaJNe4f5W84nM0fUdqpuJKm0kZL6jtaJNe4DNSc8n/NDqzifSam3A60cL4cGSPWg8sXe1iDmWNd/peqt5I59jqzs4Xw4MjSQOXqqQRPJHPgBoRq3Jx6gjmIhPQUB7cncH4cANF5W5cP8Aaf7NVgM1W5KWwftKmvcXqqLSeSOfAcAN53X2oeOsxzESZvbRbaDYRwfhwHSvcJTof/cJcngVjZKdJPtKieo5M57biLmiZ541egnwPhtm2QAmTylimaLKDLZk2/kjntiCwz6uPqaXu6gjmIhP6RSHNvCD4cpOtl6bfw2xDZ1tcaY32f8A2ixbwpt4UzwHfYaZi9CI292Ieh5E58KIOsxzEWfVvD+G1OVmw8fuEqJ0TCt4UgpGiU1ZarlbST6iXKnPZDQg1mBtg7DW/XDsPuNr4bIaOqDGYGWDasV6vVbZlTYraTxJ/wBSHf7jkDnsmXWzZe/9pHMPP7RPZsMtr4bNmzG+z/7Ter9uezK8qW277Ds7plyBz2CX4G2nai5jmI327RYcRw7Pw2JvwNtKJAl7bLxLEJcOWxPgk+oltFhvOE+6keMc9gMbm7slirSkeux8NjywJWzPvyk2lbx5CtKR68Y5015WXbbnzwy5h7p4RwKpp+FJidJyz24gc6rWbJbrw7JSLgPcr67KLYjW5qYiNNH1WqxwdkpEyX1mUWxGtzUxFafYUfWYrHh2SkXAe5X12UWxGtzUxFafahzvNBm02cCqeKc6A0dUGMwMsG2QACD6hTkBkp1Qc19KHpRLy2HMKVRgyFH0oeinIDJYQc19KHpRKow5hYGjIUfSh6KcgMlOqDmvpQ9KJeWw5hSqMGQoLarBP0HAtO+y73FPwo9EGtwNsHZ6rsTMPFOfbfhRb2mfEOam7A21yLpSn2kwXXOuPoVI3r4Ks7A20ouPaTBfhf8A6Kqm8cOJ51WVl6lOHov6Wi/paL+lor4WivhaK+For4WivhaK+For4WivhaK+For4WivhaK+For4WivhaK+For4WivhaK+For4WivhaK+For4WivhaK+For4WivhaK+Fov6Wi/paK+For4WivhaK+For4WivhaK+For4WivhaK+ForTC0W7KqVKozRfTZosEPRYIeiwQ9Fgh6LBD0WCHosEPRYIeiwQ9Fgh6LBD0WCHosEPRYIeiwQ9Fgh6LBD0WCHosEPRYIeiwQ9Fgh6LBD0WCHosEPRYIeiwQ9Fgh6LBD0X02aLBD0WCHosEPRYIeiwQ9Fgh6LBD0WCHosEPRYIeiwQ9EKssPDPbWfbwL+Ner1fTfsX0X8sc+2s+2hyt7SOGe2t+yisj3R3bWfbTLuh7az7ex7wmnPqGz3W40gpzn2WWBBgVRr3VvVERp2eisr2Xo1MPTiHPtrT/Yr1IFT7DFojFxmaqP2oZpyawYolruKc+2/jpt7DEBvN1ESsb22IOXmAuP9qrO6lTbh6cU59t/H2K6iVF6t5A59t/HT5r4tW2Vy/wCz/pEAzCER1k+iMrALyUXQ3tfK+SJmGtHUrzGvD2+o5e3anyBz7b+OkBzwzevK/wCyxVgAc01zjM1kWA2FOjRLJiTR6qoXbk08eHdX/dy1u2eQOfbfx0hoc0Gt1Kxw9UWnomD+5GI6VmEFVnxGaosmGxZ2E9U8ve0vcJADgguaRO6i66i0XrdBOSk4EH32LtqWwOQOfbfx7No4rWaqMwXwzNuSE7lGbCFgF56omJOy4eqhm7dQhwRJ5N6aPEfVnZlxpcgc+2/j2rOI6MROdgQlBDZ9UW9OijZUQvsQitOnRRPOu/TPh3q9bvInPtv46Rs5qXBDOgoFbonNFzr6BW6CS3Ct88C5WBWnlDn238dPts2crbT7lVAwPidSUWPY2G7o4Ko29NqmsSbSnRYuFvT1T/KYWRGCcvVO8RGBcAZBoTosFhYWXjjnPtv49iymxTPMMn6qJP1QaIj6xTmg3GShfcUfvTz0qFea7eEQyDOiexjfLLN6QuPHOfbfx7FlF/L30e1AHiGmsP1BVoTXPd7ouPVMhW1mlOZEbWhuvCczwzCC69xXkx2VmXiXROh+GYRWvceOc+2/j5a/akL+bOfbfx8a3jzhixTqUGqJytNAeRum5VWAkr/kYRyZz7b+Pl7aLaSSn/eqzXFNf0eJlRmQmSaGf5KnGBcPQKA6QHsEXssc90pqNCiGtuzE+TOfbfx868NBO/0UqjhmEGtuYJLxH2UeH/yjDZa5jpyUaLEFXdkJ8mc+2/j52THkBSMQ0GqZVr6AwndbcpscQV/yPJ5N3bfh2wZbX//EACoQAAIBAwIFBAMBAQEAAAAAAAABERAhMSBBMFFhofFxkbHBQIHw0eFQ/9oACAEBAAE/IdMwisx+zzp5086eVPOnnTzp5086eVPKnnTzp5086edPInlTyp50f/VPOnnzzp5086edPO015086eVPKnlTyp5U8qeVPKnlTyp5U8qeVP3pXPOnnTzp508qedPOnlTyp5U8qedPOnlTyp5U86edPKnlTyp5086edPOnnTzp5U86edPKnlTyp5U8qeVPKnlTyp5U8qeVPKjoNm7b8Ndp9ljBTvpH+k3oQ+XTEcpkJmw2JFzpBcTRsPqSDqjS3ozqcTeydhLJ4rBvQS7hYisLTZu3KJyhbKyE5sYNJr4xutuZDNsZKDbOhLkNUXsp+tCUVjLZodSAnUKXuM5wKwtohIIWZZSsIZ/X8L5RAfJNxM2zAEeUX6/Kibc7udkJ15ZOy/Y+PzYoOemSZsEJpol2tKgNnNSWMiMsI9hmuRoWSR3RbY6nIhWXGi58m4Twb3LwxSC9p3JxSZuE25mpOyFvriHZDUo8pooWhoSuLOmNRxnhcNdp9m2h0DTJZux2ral+zJktIjTYaymrItI45tLeO2fDOx+x6dxp8CRW2uYc2XlpVfEHSYxjDygvE4x+xI1j7RBdSHxS6o2GYtvfBPfE6ZwaXgScixwxyKW74QM8qIkG0S/tLF7309dzP66FR8T5VFVjFCbOY0d16HnQMrrYWUTU+uRddlopbETMSSoDy39Uls/6GBmkazIkIkk+SLKlJ5qGGNtxZIy025iOKL/7El1w9UBZXXzEma4NYhk253/4Ql8qVmkyRorGqfYIczCcJTISaMTYyNRKhCdwqS4zwuGu0+z9BZBbFytsiluUZECgc843mUtw0YLiWCdQted1PoId3QJObCbsjzG6G2MhjAWndwNOox2f6HLuBawyPNE0bB1sF90SWz/b6D5pBNyKXvyiRpHzclvzGDJ28xzJukoY2OimN/wAySOB92zL2dHKnmZGPRni/KM/eXZN4LC5ISc6E96Ees6FtN5bcx20gkTu/2TKq6ZW5iG90egTaaayhqogi+JIYWCcJCbkyRk3uJtqAp3FA7Fb9C9Rl2kUwxDZfoszeBxMpM35s5ku4LVIUYzICi4c5YxCdiCZY2wdvPGeFw12n3xorFRDRYQRVEj4MmLZhKk3uUiknx7jbivyuA3oH2PgoWFgSykNiGOaLoXRNzIxsO5BGliENt4SGOQ0lmmRBreQahwxVgWtq27GcSrJOjwuGu0+/wIokQSOUMMiEI0NUnSYNTMEx7zohDEylokEsx5IFskJSrlIixHP4DlLX6p8rhxoTMVO5YITlHXBcao8GsqiwRhQJLGhBaQPYaoyCKJBjl28Dq4ruWYekklkRL0wDmiXsGF05FswXu0eFw12n3xEQJMexslgkSMYiZqRIQqxUNsSoQlGcKKQ9QkuNCbC7/puxkR7JGFROzvIsBox8nT5XCWhIWjYRMssSwtI2Qt3zIVMjVDaIJobEaBROxkQmYGqujzruPuW+Calk2bbHKSBjItshJho0PC4a7T74iLMWELQSwgJUx0HhBIIC6EodFhZFW4igbSHkS+l/CTkW2Jhyjt2YuKshIdq9F/allpqnyuKkKkhwMKB7WLg9o50AzelSROIlCojhSIiXdjy5NjHoWtWGlcNZo6WPHyjIeyxFtGJUwfomEjypZLI8yhIGpmjwuGu0++JMxVeFAkHSETuMtnJLmJW45IZPGOiYxBTchoG5Ho9VMDS7/wCyyV8G5muZ8rUkNEUWWYjQUYAz5Ivs2nApIomwCRYEJiC3+wk2HAe63MUMso8iQmoWIsz72QhKNMtGYM7ddC/lM9+r/wD98ipdkWHhcNdp98JKSBbjV7EOGXjaJtopkjY3RDCN0RaaRw/lakTSDM2MiGuQsieRlNuhtlBcLvDtX0ssfMjeCDeRssXFEWG23Lo3TExJGFxzsxzdjkJLIgaZBGt4XDXaffBis0MkQyRpYyXhyTYyyKIURw3ytSrNLZJuRLF3UOOXIJGi9wV9KFInsJVMZI1DkvTapIcjNhzokFqj1PC4a7T71qRaMmxcLcZKgNL4yRhXGGiGMRwflaUJEEYkMEVHcQ4Jw2H0J5EjcSYhMbKohj1IoJRKcxCILol8h7cB4XDXafdENUVGwLQxCyi2NPHQRcXoRMORQ9fytKotpTuQcIQtMF2wwlhpiYY/QtRGEaBoa0SIVhWRlm8WxnJiuCCpSXoNYnwHhcNdp91mmVOJuGA81GxhD4yCuogEBWoluRtRiGtPytKEElMITKhjBuNzBSigIkS1xSuhrS9E6iwYEzxQiFhEN4MMTYEyi0O2p4XDXafelZoQWBwhMGRNqowGqJEcJEIuCZWFW5CQuRBROn5VJA1gyIE7LBpi5kvU3Obn70kRYTHbvIubwTm4yTzGyaQx0kIQkNYqSItKGyziWOOYgTtLCqmyMNPlMflr3hcNdp96Io1BOKesyo6TtVUNC0rGhlNoiRYpHq+VVNi8SkWSd6F7vIpsjn2EpuYCSNQ4GOwm45crinFh7Uidg1TiglTElA5jgxiS24qLZHA0qQi5Lp8h6xowUOrITW5chY0nhcNdp91RFqJxUYkepMxOCmWHSBKjZFE9UNciYk2pOwx6flUcJoOIpYx4jkjYxePzGiSciQJQj6jyhYhL3yoB3EWhJvCGFZokwxMfZWExtsE2m1LuLE3YaxJUpbDqIqeB3BA8FCNDwuGu0+9TerJOrIlCVeXoIKnL6NTsLOCFFj0icDh6HMZUen5VFkxG5NywWoegqkTIDi4lEG7itg5VsGJJfA7dAy/22LkpCkkDHAHkzViSvqKSFj9LjSJZYijAxWCRU8LhrtPvTNEG54CShbExBtiISitTQ2EkDaEjX1ZFwchASHCkV+VRZdLahNo3Q8DzVDdEYDLzOTnCYFssubjcEehjyL81i9GIFzEqA8ttm8STXDL7DXUaWGjJYQ1oMEc7EA3Lq8LhrtPvVFIGta3E5CcBtE1yaPDIKEDzQO+qykslkkEJCKQQfKEl0Ex2USSDYkPVey8C2bE2tRaGehDve4aWIOUKdRRmRxdCOEy3McjAW5ifUauRelIsjHDqDEzWUIwEs9M8LhrtPvUksYSNQxoelDCdDaBzHPQnFBvA6EPTJehMLgXoGHogZ8oThiEjLQ3JuUG4uJQWaGT0NS1zCLThNHTgiKKk1JMjkNC41cgwSJIUhr3JIFyEkTRR2q8LhrtPvSpE6NCgso1mMRh6kPhMSOUJzL0l0Yhunyq3BXQhWl7qTJMjj5CUHgPOhDyJyW5DnJPcQs2n6Ha4nnSWRj/I6MOZY2huhyo5WUITJgIHJg5UtlsbhlV4XDXafYiCKJGIoBoRKz/AVLjWtC8BrgThgyJpNPlaIrhK8hecOEc0nQyOal0QgSkWBrJUa1ZlEaTgjoxyT0zOTYdMywRdOpCeFw12n2ING4slhikVDMuEVyBrWIINayZYGbsUMPT8rQhJUFQhN4QzbnuxR2JhBFGYjUjIpBY9LykpT2HJEkMja8DkbXbLV0JDjQlZEhPUZzFoBmZApN7jJoY8jwuH2D7JqdFxOEy5JyMelECZjnlDjsQ6JiYmwh6Uwb4fUmSWl43q+VpwW3MSF0jTEZ+R73Apqbl4BZiGJxLlX9CzBIlPnRWEc9kWZRJIF6johmc6m4l0NYeDeiBTIeFw12n3RUaBSQ5stlwltWVJIhi2LWCFCXrnRLSFQSGx5/A+VokIR6JWkckmiQ4F2I1c3JsQQPDJCYEqQnAyNhMjhNGqRFIBoVpAsm4k0NQNRGlbjVxKw04NhLcSPI8LhrsPvSmJjC5GI9KRCRRiYhSCJC3HSNlkeStKxIydaFYIJD0/K0ONoTtboMroIaYcCVgSftExsREoRMgQCauzf0lpIxYH7xVQbJbClL5F0WRNmQQNRWwkuLUISU3HWKjwuGu0+9SJmPlD8kWjKsbOTqjSCWOB5rCyCwYJtSVFQhAkLo+VoTiiZFcMKL8nIyeHTbQmbGu4gYEu+BeezM9QrlLJUXMht7tscMaySiC1ISuRJZHYoYkgssJRHJCaxfwWSJvcdbUuoWI4a7T70yRFCKgSv6xEiTcmOIc3RDDYEUouaQnlV1Qn2PJBvCj6mIxuiP8Aqg2J5RdELJ9YRYP/ALQlQxupJhzdEeUURyyuaQllV1QlJaDXN0CMxIGyRp0fK4FovxcVF2NqwrmVQ02TawIrMdgIpenQWyEuZfdYYVnES23UYlMt7GQgbJtC9tsMiFsJzOWRQnbe5aRuLpJYoiRqDyhtbWiYNUI9vTMC2wmkTSQ9hExsYCUmEZr04a7T71mbDi4NIbGz+AkqbmxOQXmnA8bh9YzpwBCDD5OQnDlC/wC3OpyGxxL3qgbv9dIMDkoCmF/KQsweZkmJzbkTcl5tB5vToABCOD5OQsktm0oNKdxCvo/4kGNaJNXytTQXjMtR/s56NX9TEJzk3w5Ek5HygknqQIkbbsc9ySwzINiYnyZPMyXuJuY8S6LPLEJuLEuYsZHSLyXqObFQt26JTMBE9m1BuRsTIRzMl6cNdp96ERSELvM1O6wTDJ0IIOMnA3JFcTQ0NozRcpFjMTPX+VrlCRjbDctyGRyQDcRsOyRDMedRNEibHoguogSmFQU2O+DBca22uP0AsMtbjiBskkmjwuGu0+9M0eGZ22SMfLJO6sC/ci0iSmPwCUiKDEKS51707Vtjk+ZapNOr5XAyRgv6bPyJS0s3dFlYDOcxeScYRtNx5HoVTDGyxIcxM5ZHBNJ2Iq5cL57/AOYwSZJZj+LJ1isoQx6XhcNdp965F7MHSGomN3NS9yYnHQ+MkSGFKwqYHEutySShD6gsJBus1+VwEgq9QJCkMifZXRhyOWBFMxcguUZI0oTgbo5KRKG5GKw3ErhAoJlySopl/cSggq6xzEZNjXG9LwuGu0+9cEFwOkiSOwqDEDXEgQbIIYeWMQZI4WDdhz4HytbLBJDYWRqpjibjkqXkRJkxIJaGEJJaMvcfsDYQ5aRWTJ01eHJQlJ79B6nhcNdp961yEwv4tVp3CL9yNyQQNUEHogisUmZKJjAwnAvRkZaJV7jdHZQyUI7KDLn7rX8rWwef2T2X6JELv44DLMjbHcvQorOBLcXWCXFWW0sJIwNBQV6Wc2i0sSsMjsDLdYvZ83RCL+YJsSIb4RymM+AtQjwuGu0++Eg01KNe4hZEGbFJqqQkTawOLEhISOmWglSGCKSHgZChZJ2Ot1paayo1fK1b2k4mqLGT7e6f0M50F4pDc2H0Jt6oJ1K9hrZkyRdWNVggRiRE8jFXBC0XHEwO4QZbpsyDJGSZ/wBIdLYyZfcNkiY2NNO6jS8LhrtPvTkSfYwEPq9dLE1FbHBCwxqRwqYgZuQrBDVsTECpIqCG7JyBrZOqz2nwr1fK05a+w+ZGObqhTSCNZ7DFwaMZfbPfApwRdpd7DKNhjHQ5iOl7SQFxpQMuXHp3Q6skUosuQq5HoatcUfL/AFpeFw12n3puzEJemlEg5Qj1msqBQZYLiamRAMS3Ap5ohCdJQY9PIlMjluNLoh+2rL30zU0lDjlq+VpYyzTxaqp/H0CJFhF4DEuQ3EU2ICK44r0ZaQt8m5iWSm7GMEEKAs5CJoxWQ3Lr/J5aWcsaItpeFw12n3oew0iVfA9LWP7vR4psWKWGIsGECKGPAjGZInAzOiP9d1qxUVfO/IabNNQ1o+VoYHQiX6EIBG7JtokzI9vdP6JpInNOtqho7sidncakmSwOasbk2GOWOz0D5Ny7JAS02MmX3arIKfQDGIhrNXhcNdp96FE7UuTm9uEkSKjomIKDJVRxJHoQ+CzQ2hoXmxfu+ej5WhtBRLjUhvFJomTXFh+pgaLxCDWhOxaAYlSlSLxIQ9tSTeNScOUXcrErN3zq8LhrtPuvqzd118+xI5zrPShWFR54GGF71vrWRzyrvX5VVJGkkHVrXS6xN85QjJDzCQgh/CzclzDlIuJ+Skd8GA1+4seoBEtDqew/KFyE5F7fQZDyx9SkFOKdriwKa9gpCC/QP4X/AIIkyTmN0PT6bIfmdbJo4DSUE5lrWskiE901hqjwuGu0+6RhS0XMEB6nN649EypsEp6UkI9lNZJWUE8qfdhkZ7ysQoNOn+zesImHdqIWRyVH72sjLJ6uI3oftrpCPaTWa/7tMjPeViYnDEpVzt8Bx6luva/VflUVJTd272MZL6vXiZEJrNzA+bZyR2GG/wAS8MZHNcqPC4a7T7pjhzwUQQP8T5VGnga4rQxCAe2XqEz/ABpYHHMeFw12n2PdtMnTkWqSYW34qdD/AAmmx9MDnqhHDPlDhhfV6fszlvbl+FL/AB1DkYH7TGJMWHw+jgRnmQtBTyoHV9k6vsnW9s8TPEzwM8LPCzws8LPCzws8LPAzwM8LPCzwM8DPCzws8LPAzwM8TPEzwM8DPAzxM6vsnV9k8DPCzws8LPCzws8LPCzws8DG0tN7tBEYOqyStByie0Tws8dPHTx08dPHTxQ8UPBDwQ8EPBDwQ8EPBDwQ8EPFDwQ8APADwA8EPBDxU8dPFDxQ8dPDTws8UPBDxQ8EPBDxQ8EPBDwQ8APABbVCOPV8PvV9jnWpV8BD4c6EIY9KRA6KnZ/gURCF8jKw63OqOMs2hBktLJc2S+bFL3ZJbsbzZ1GdR+5Pm/cTc2Noyxq3Yme79yXN7iDy9yXN7jE8sZzY/diRaS+L50TVlYkctvcbzY3ZslzYm+b9yTDYrssfZNl+bHPNj6mNKenD7F90KyuoP8lOhvgGiCBo7f8AA1iS50WJShyEzEsG71RMKk5UYxQGo3NEQJkiQSedEVawkamsA2SQm5YEScI7ThpPrr7o2BKVEII/Lga0oIozs3xQRMPUzFzL5GREHZ1kRYG5Y6jDehMnQqIWhkVpXTFZKpA6yZZj9OH3S+xxO2gMgaH+StCECRBAxl3p/ggJE6NtIFKBjQpGobo9aEToQ0VNCEjA4ssBA1Qy2orCTy4fer7LRFyLxjVGx/mJVUEDoZ2f4GUDqCZGTSpOKIZEZsI3hbaHrQqqiVZkkNO9bk5IwokqSmm7GOShLcNxjfkckQTYbORdFzSxSWeENHldkYvThvHpvsdRIx0N/mJTVFmwbGMmLZPg2j7nvKIZs5i9JwbFd0IxiRpHoetVSIFQ6SiHUH95EXFlDvG4Z+3IS70EbPT4G/zREmD04fYPsmskjH+WQtMKW0iw/mB0XZQFFZ0ncMyGC7h0edD4KENokYZMgSzkl6wKttqCCHgcQs3KWV0HtyXUNzbZSvoh3fKJIMwenD7B9kUkkkkbHSB/joRkPCoYDmQ6QbP5gixFkVNCcQTcShshhsYkmr1oVJJqxoZBQmInjcXXcESwa0LA0gbauL04fZvseo3REDRA/wANKhBjISRridhxakfx+qQK8K+YoqQQHZ8zIQQg8lXQBD1sFskb4Z4jYi72aG6SImw9a4SQsC+QsQJgaQRR5Q2qzF6cNo9J96UUZAkQPgwQRogjQtEq6iyiZMa0Nv8AMVQ7KTmzgWIDMTHuQKL7Qreoc0FLXU0muRdtd9ml6aS0SjDUUgVXoSbwhpKEY4ISQtDSBFsmwpAxKaG2MXpw+wfZJNEJUNCQkQND1QQRVrTFRBajAXURFjoe1Uix/mCaGJ4O6HWuJtolDZimdiW+7GoTfUe38YStRH7pMWQlGruRiXqq5C6Rme47iFtM8nG1DUTYlhKyJyHnJJOlikjRhg6bi7WE7BWREh7sN8UA2wtnWhrjlyMXpw12H3rGhKglDHoQqwJmQjRBBAhKpeJqUIIDobhga2gsf5ijFeCkWzOQHQaWLMHsJUWywI1nXftTc+gQk/4EJcyGyyQXIzBHS2xDWySOcLYcVuCZY9ge79VFQNkEtgQi2REEZVQIUDpMUqWFQqHY4vThrtPuiIEELQK0MaI0KiopUWCNk9TCXrSWJGJkQSCJkg3VY/zFUwm0KjAlMCbrPQuiuYCGJEpo1oSXBM/WXM2a80ZDy5vQJBnAvshyWJ/sFlTRqecjjtROYigRBILga1KHAmLD3bOY+cchC53GWxkvThrtPvQJCCKUGErihB0QlXkQIaETpFBECodCEA6Fmm0sehY/zFUP0CMDVho2JjAhK2sLNyglWBJDUECq1hRP5rbSQy/KcYTgYDsWHuiEusS2w2dlPZ4Iq6lhbDfQa0IQOZCuNmrHID7HnkLnYake8XCYl7DN5Yw3UQYaY9OGu0+6IfQJ3LA9YHRCS9GU2HJitEogNoeiiq9skLHTSjY9Cx/mKwMItMsE7EC0WRD3EPsxCIeiYsLQTkk0CowIawNXCGcn7EzBJkSsIlpUHoQ0VkhadpGKrshDNIpcqi2GdqiIqfqsPNTRJL5XbSbh95gEpBCdJjcesdSOU9G304a7T7qw9RInHSMZJI3VGRaLBskyobGNJ6LJjBw3osGxOrZ/MVaGmbzDEhTXQ9IFzlubMnzHekxFF1AsISgKIkTssiEYlAmLyWBbGx0fgV5kn+jlzJAk1Qz9BoYFzeVw87ZMPiW43Dqy01JaN2+nDXafdUMMSSSOhNDZNUITgRUqirRidDUMN6TE8HZ/MUVMqgXNQ2BXxiZYJkRMQEEEULA2Qgb4qDqjIYwhu9hB2ImO7oJKzbGnIJxdEUdUc8gxuHakNzhpY8kpFvkbcumULuzDN4G1yeRrsY2NdvGjZw12n3oQ2huhNYqqpjUIB2DuLx3rHoknhbP5iidU6MiY9FAchA0OlmNaCGzJtYV3IHdWWIRJq5PgexqHJuCG6WorIw0vgPC4a7T70Jk1JqtDrJJJNEYpIkVB2j3G+C9Wz+4otCdYsl2CWyYEIFBZMiJOYS0XKEb3Ei6oeWKhEkPYnCGVVo4yODSXRyPNy8qH0EMOQqy3M6AKREwL3fAeFw12n3xI4EkkidBMmw3Rk4Co9X9/qiJJJonRjwxaEkk6U0uZCANmysdODSNMyiXyG5Ex2nptdP6EmTXXIquoTgL97peQeEQrbjMo1uMCHPYWzA/6k5kw1wHhcNdp98NUY+ChCCpG/wAH+/1rQqZCrBBDarqEpM6Ms3oTHwTak8hOjN3BAymbnTcjuwiTC2Whl9G67Jb4DwuGu0++GnQ+ERJNEj/B/r9cBEmQijIkUeEN0hvWBIGzJGxtE2ycwWU/rTTK9EjqVHW3gcjrzJEfYefAeFw+8X3/AObt/mDbg4CwPGpY0Or0Kjz+HH//2gAMAwEAAgADAAAAEPPOBBCABCDOHEOcgEAiDDDDDDCBCBCCADBACBER/BTDDDDDHPPPPKJCAHPMFALZRtJHoFHvPPPPKDDAKGBNMDlrxig7vPPPPPPPPPPKPPPK/wDxNIVhgAoGCTTy6RBTzzzzzLRvoHFCml56L6RyjzzzzzyjzyAx711O130R6IK/byoCTzzzzzzxcip0Uy/ZrxgLCixjzzzzyjzxzzkwVrepwt+J1YrSrDyzzzy39SlvoRW7Amd0DtdQwzzzzzyjrTiQoQDy6jzzx4k39XTzzzzz6NYAmR1ESu5M+wpL3bzzzzzzyiqIk/gAhrXzzzzyo+yejrzzzjXws3opQdBWREYA1kNLzzzzzzyiZ05m6AYJjjvucHizS0fpzbxn8gs93xZ1seSWkysQEDzzzzzzyjxDuY32wJnIPEPHAl830hnjy0mCP66NBn6uost0M8eSrzzzzzyjyyeF7zxbGuUDZ+HjyD102PsLH/qFCDOooJ1WveI1F3TzzzzzyrzwRR7zyatdj0iKqzwJo2/7zPMgp3zhmK+z9Bv3vyJxPTzzzzyg9+UIDyivv71y0M7zz6UU2ryihLPFWg79rSkx9Wj/AHN4188888qHp/TL8MEiwb6R4S88xpP0s885B7SqqBoWpDR4tNwS2QP88888ocmuNUwgIbCPlhpi89AYXey88RpAjp3a4ULvS5duuoQcjX8888oWMsOPqw24pJmxugJu4uO9O88sGAe72sXQlIvjKz1fsMg38888o897orZjdc8sN0WIoG3ywIU888yD9U5YK8rYu9DejPRNu88888o88syqyD7088sc9Mm3tCde8888++GpfetZiv2b0zlYB8888888o88ukP3YHnjQ6nlT9/Ns888888sIQ3VNOmcEqWYGDqG8888888o88q0okRa1oc8keN4p4oc888888o4YISAn0AodyK18I8888888o84c8oqnO1hTW22GK4Ves0888k8euYCSdPS9WEe8088A888888o4088s+Kcj49RrmRYo888Y88o888sMStN27Oe8MM888s088888os8888sO6085qm80488888Uoc88888/Yffc888888888M888885Ea1188828x42661Dc883x3pyKhG0zw+o+41BPdko7+/8AnvPPPL4w23NLPHPPPPXXPCiuqdul6iH2qzQE2NTduWlCnze+D0XfPPPOJxifnvPPPPPPPPfLRw1KX9euB7RE17gfPO7PycSMQ0e2FfPPPOAtGIUfPPPPPPLDfLO/zm6XGKEdqLWwvvPGszOaRzxTlidfPPPLqbkjK7vfPPNPPPPORNoMXgz+kev/ABsDbrCJ0w90B1L1pVzzzzy6n0CUAyrzFkJHcXxTcANOW/4//tRV8CXX6Xs2SSosA/pPXzzzyje4M+OuA8E5iZE34w8VdPR5NxokQVYhEEu7/GzuK0peebXzzzyi5xamJUVuIm+iEcsfnFiivwX2IYprwEjBC1ifbPNFE5k/XzzzyizhuPlZwcoAv2YMQUu6OK7xbojHpuwNNpYsfQo7+18a897zzzyjxsn1rXboUwP0TYiKi2L7zy1y7iOg8vd9jrKXJ3XQ+E75zzzzyjzzay5O9zx35mpKBoLy53zzysdJ5QgMJv1BWVg4ESz7zzzzzzyjCal7QyITjCDElT95nBDDDDDDDaDyAVnJ0dhAYKODDDDDzzz/xAAlEQEBAQEAAgMAAgMBAAMAAAABABEhEDEgMEFAUWFxsYGR4fD/2gAIAQMBAT8Q+1gb/IG6sdyeFJnH+LkC+oHvyJN8H8DlvhW/KdNLhr6j3P4Gx4xkGsbjPXkRw4x/C/AQWv2Z4zZf2XMkwZnFwjdITiZY2WfwD3G+xZEwMh9WQweyQgTSUI24fZmxaLPWNj5J+I66Qjf1J4I93F8J94L6u/bMjCIkfkij6umkgw8mHg9t/SMzwLO2zSU9tnO2BsBnDJo4dsj/AH9vxuzDr2VJ9vQs7W9pOTcknt8RF3BuzkH/ADk3foC0ZbGEvXcpajDHI9zekbdeyW2mK4LsFv8AbP2Paw8hcwkG9C2Nn5MPb0CEbAwTWb8SDmzkLTUeJEPZ2V6mfHtA6e7h5NuV1TfXQbcCxyxPYTk1GuWbi30zhJ6Q9x8+8T67H8tyVPh1JIYCC2/3qRR+WYQ/3aMgrCB1biNgctXcD2clwUuG7YnK7b9QHu9iVDPufB0Re1+CP82UM8EcgiMOWTtuWshPnIYupN7CWvQWAcfT6bTv7IcZEm9nY6/tHCluOkqYsO3atgpg36gWEMgj53hHDLCZZmWLo7GHLt3zwSYnHJX7YwbEe3sZNbttunJOAls4l2rLdvAw0uxSxe0h/Ewdd+rlrFnCy8moQ4zfA46R7kr7bdPOo4S/UruD88K8b+jPCEYO2APfjrSdC4ONneeByI2KyNmJEdnb8ky/CzT9G2oeI4ZYpfAT/S9uExDnhuI4kWeWHbs239WsvwjOb+3R/caQQspJgtZM8e0j6JkhJj4Lu7cqfsel1Gy+aHLdcNmpDPIDIXYOMlbA9RIDRJdPnIyxt3x0aRd5BkM4cklhWUkgWIDo9SbYkZ1D2Q7ZE8HgJmTB9A8mOXU28BrkDhLBM+kj54B+kp8BsywPBemQxz4ZGWx54A1/nNYEq6x133bpCf3lm7AEXsyJS/Z8JRyeErpCTLSTPoyYMnpyVm2B3xH9sGz0GPSWz8a93PbWHhDcGXXfj04SoWNy/wBqXT/MAkovPVjgt2zYjtu1nI6ao5x2tQ5kD+i3vWAXt8xyUfUudjPcBNuIY58NfGoyw8LNjA5IBt+rLs+SLSEN+7F4mZ7L+6xye58Edb1Doii9RNx0hx22t+sWzcEqxjOyvfyN/IvbAFs5cPYbCVffz4dumys1Eu7KwdvQF/gi24A5ehgiE8l/ZfXvh1pbvWW8eBGPjdHLQ42ntiWZKJU5Kr9IsLExJegNoMtSinIPAtnPVnNhjCH3guEXS6n7gYC923Fh1n6eAC7YPdg9RFscl+oIZBO7e+Av9mw3cOwB77g/7umLJDLv8DZsZMlF1+wKP9bqA1L9y1cfZvgjp2D18RCsE9lkO2o2fefxcHzCUcCRbYc+/KLjmx76ybOp7DDP5JYtl3+COOwDLtswz+DkEF/fGwSY/DDN8c8EBIEZF+ovXyJkyP7eJ75f/rIv/o8BrwPazD6Y0QFm2riwqE9j/mM5p/5JDSBBs2aOT13/AJsfU/ZhrPiNHgFLK19G2+Uilayy6Lp2wLDSPg7K4skZh2zZMtbm/ElXsOw8lDFhtyVI8fVg0lchuV7vj6rKXbeQC9/pTPAQdh3nhGLASy/Vsyf1e0BIb9op1Ls+TxsHhemPVRKCgWHntEPHTuZ2VkaJ/cMR8XhY78SGL9S75VrEEljy6RBdv7OZ6uS/CxW3WZ+BCeW2AQH7PX/mVze8z/4tYhAM7/d+j7e3u+J0l+SQh2lqbdZM+kFlg+A6n+364Ysoxts/pwtx1D1EWHZ+RfChkq9s1xyPb0tTJV2et+K1t/dDWEytsCyhvgNtZqZDZ368WPgyz+reXCNrLbXLR1sBBOawcU9Z7smR47kKP0z+Yxjk8IWGJaZb2fLLJt6ZaXZyWk5Mx4AxxiMWeA5KGWP15VXJLS782yneLtF7Zwg9ToP+v+w/9L/l/uj/AN22PYDYeBHitzy29nyeMwQYAWWLth9xx5PG3NsLrxe7C0h2wXE7vf4TwQv5M4SqxAmw8Rz0ECe5rh2262fS2NSR96yLxL5ki5Ct5Pv56rYmOORJOJ1bsQZHUSzEyofgXxW+RDO8D2QbyLbEH2AUsDlm+4w1vWLTVmwvcJu6+ocP87ItYtn55NilshjRIMMsb9YLuJpAT21LWGwx8jDbGo34Q/pcE8JIG2Njd8LIs62H1OJ45br9xOrZ51hSQ2c048hwl34DbDbNmRiZpXCLi7KR6ysycJDefwgyU/EQQrS3LZ+oZ5NeJ3M3rboryPGxOT9P/8QAIBEBAQEAAwADAQEBAQAAAAAAAQARECExIDBBUUBhcf/aAAgBAgEBPxD6ustQ/wBlt4R+zn5KP8YnUmf6C2nOcHSXX7+jYFjvjKYBIsHl7/wfoxx4eNl2LctbbRYscv0hvAL5ZOxmwVuT2C3wlbrHcThD1tfbmd2pd4DrOeIAmGRvdM7+XhPlgy1h05GfQdHLZudUvUp7ns+ex43gjnXcmT9+RJ0QPEM+xfZEcIIQdwMdc9fIicTzuQGHsvpLSQwepn0l9UlCzlEQbA6k9e2/CfqhvKCe7oZaIebBnxyzOCjD8w2W7J7sToSHmDKz38ljw2HXOL+Yi62RYb1P053Wx+Ty9Yy27QHuD6Aw2Gcke2A6W/HWy0DBr2GxHb8kjxFmO2GOPCWRGnsLp9X9QWOyfS9cayxHZICDJjHt28iXLeR+p9CwaYFBznXBmWDZukPOndiCyT6WFNYnbroQA7adHl3Eu1LoIzd+JvyYwYT6VsZJtkHPi0dTjvhJKMRwV4TS3djNj4P4hTaEej7P6QsE7FcLoPy7MvIyG+k71ZH9Xpi8Vlnde8Y57sm/V5YRz1JmMmUeWk2eiRbeedLqLRy2yDXJzMGWCy8glvHGSH9jOt7jz7POGjdS9/l3mdXR4rq6d3JDfLERyr5nOVg4pbyNsvpCc434sNTNDDEHV0ZDk3jB0QjtGg3YcPG3iDoX9g4daQukdwzEeDfykGEEyYP3z5lollg0gOOHO8DyuXuHfggck5Bxs6D+HUQCyzf1gHRZMSR0wxzgJwluB68PhMJliZDq/sfY+RLbQtXp1dblvK9QeHG2yJze5jIecpYgz4jgdRyAsh026OodRdmO6sndO21ryDA/bqr5DgLCOYSg3ITpeUzz5HKRSro5LhPukfv5OTSc8n7NnKw5HbJlnJmJmJLw+2YejAdweivIFouhKcMkAAPOJHgeTsNkgaWZ7GGF10OsSL1Jjnyc4TqQ4igPUNhIsQDgfUfQ42ZO5Bb+uN6z4Y4/ZS1k6JdwL9WIiCsWr3Y9QeE9pY/26QkTAwtezkNatL3PkD6tBen0oby16I+XVsElnVgxvMOdz8N4FvASAH2CHUMG78PG0upZnxsw1tHq3aCKzOi1b9WSTudwy35oHUzDdLIuWvicA64jvVKmNnckZss8v1ZOTbFDpe/NA7Q+z3wm3kdo7RLlk9tJJxX2mdiPqLt7u27joh7O1iCDy7AtHcL1JNdRAlbB8v22xZ6MM+s6ZyZVerfrDeIDqwjedzzEsnf17dx+Y/7EvC0dQxOaFvLq2Q8EEynqG2/wJvEzEm25lgdgr3ZBkcMDuX6BS1welM2lo74DILNfF1H4tXTb/iDZZEu8i+wD/D/xJGX77PpOn4lV1gjN/wAq0xieTUmf4Ry1DHZTn+F5qKat+nbeVEt53jbI7NgKH64v5rJs9WwKwLR7f+r3myRs1uZbnYNyNeMmU/Lt1kL9Idnr4+lhPO37E2DLeHgMSUCbMPxsHkM7w4nvGX+cIGXee3LR6YjvgB5kPkPe3Sxm3j4+8rfolwfdjdreCgSiMEXeoYZMRqXb3y8Yere4fs9J0x3pgQ1dgGH9lD7YNno+I04MD7jLLst+oQnBfy6ul1eEI5Z8/ZPhGWxF7sHABwz27MfyWaYAdoVgz4+IkOASw/Vsw/LT2zZ25AgyjvAXcsBkP2cPXCJknwHUpvbvo+ZZA8YO9RSGOfFuk8j2iOXkbbFgXZL3bZxmG7TxWpnE1DAvSx4SY5xWUgs/kQ6tvUYTTuQvclExKyssXv8AJlkYTLO4YbZmOmWGw2F02psWiaLKJdMcO2PEdtZf0TunIEHbacWFpW7lHuw9xskB7sf3gfmQr853U3v8mTu/K0W2AOTwP0tlqyTLtZZzucUbBHHhtj+JFGOhbFgzVv0xJ7CI7Qd1ulGwPbw59s78CDBIfgyJ6IGSQ29fMTPHA9ggyXnYjMw84wRMBALI4dhgy/usOsuydEsOyYXYQi7JhJWZwbLKMIbuXcHljyHLs/NOQFnBJJa3dJIBDrjOGOVl0XR2UGM52Wph15gzFzJXpAjKhF9bI8hCDOrs9zba/TnJqQfDIDygZZZ88JbON0Qfy/JCWPq7YLukh4y0q6tMB5IjoPO/V6nyeBl+OWQfYQyfcoeTxY9y7PI9AmzjBywOiR+n/8QAKRABAAICAAQGAwEBAQEAAAAAAQARITEQQVHwIDBhcaHBgZHxsdFA4f/aAAgBAQABPxDwuzLlVcox3g98/tZ/az+ln9rP7Wf2sG1+zP7mf0s/pZ/az+1n9rMv2Z/az+tn9LP6WCH2YP8A6YPr9mf18/u5/awXX7M/tZ/az+0n9rP7Wf0s/pZ/Sz+ln9LP6Wf0s/pZ/Sz+ln9LP6Wf0sa2K3cs8+cGwfsz+1mG/kz+1n9LP7Wf2s/pZ/Sz+ln9LP7Wf2s/pZ/Sz+ln9rP7Wf0s/pZ/Sz+1n9rLtfux/wDsZ/az+1g+k/OIuf2Z/az+ln9LP6Wf0s/pZ/Sz+ln9LP6Wf0s/pZ/Sz+lllLzK+b5fdekPMNmGarrwQOSnKvR5yuc+zlLQZil+zrEPGxg9ibg0DWEP1lVmhbPulSSDSl2MwSLbSV/hYoPgQHL7RTgLJg9pTvaiAbFH2GW23OUIYT36zFqUODXL0hcUbGH8QBKwA5y1g5xhDoQL1JziYS8zr1PzUuGjpENfEoLgdhYs7X/2M3esUVo/EGPTgxkz8xDWMmo1f7ufJS5fCriJ5urv3MEZAFj6J0mLGBPyehK8SBlrtV5HBKIgCUbvpK4JoNSWL+UE41oEOqQHmakbrY9GCUsEgy6Dq8B3hCxe0zZoULDr3IQPcI1Vx+OUIHPUURYJygbC8t1VuDVqQLZUs17xhQC0L+sU75CEWnHJ94blhzjp+YRCz0FERkMBKN30ggc6sh1XQTTkkvzwKtg6EoYjSIAotgXTRjunzvg/b5fdekPzv84OKEGAoXccMq8rNh3zjxgowlMsY+qWoDnLuvqD0ek1bQ5lbS87Ny+T/wBQyl50B0PVjoDk22Ys6sADiOh9D/8AJbTbtTsVb1qIUxUTgh9QpNlmU/RMhsUW5zfXFwHI/UDMZplMt6XmEAcv9Iu+ayU9Pn9xDcTrp5mPaXKFAwouGY6+f/2YzWdGiOOJvry/moNvVHQCv3/k+S8JQJS8eZq79w3BTkM085+YsqUqbuzl65j9iHKt03HYDgYoC+iIAUfZ9Dn8xijWOFdOsLLP1Rp+v9iG9E/AHx8QjLAQ6y2FkXYGE9P1LY6V4xtWRwZsLrcYmpW3bmIElPEqqCYWBKlwcqrlX1E58ayRzjlGsKqq5gmI1Qv9wL4tWrLcQHVasKFF9MsZU0OkTKkaDSyjyIZ1KWSaAlsIYh+kc5GnfnfB+3y+69IIUdZ0WxrJC626xHk2XXoDG9cZB1WOxCqR9L6Rs3WfDrfuXGJsyaOo6omAJzPYsxjcsRtA+ov53MHUtaOo1LAA7q0RuvxDIAF5h1eaDCCiOZZRynL2d45K5RNC1G2JVj+oDcbtYnmOUCrC2iNrfruMVAo6bKlpiCU92XVhs1XV/wAhvWNWqnM/JDQMjes6zHcRThhSr5xAkcU0Ab/BmOsFcDPNcTkFtygiU8BjbzdHfuNYTTEI1fpEhpwNxygiN6ei9H1OFw4t1ViVX5lmUR1XUMywPDaUKukpbt+TTRdf/ZzRKRoOCO2iWJyYFkHQOrOcbwCYYPIlNC80E25bjH7QzTcsUramweodfWA0nsbugI+jErhnkOoOsJubhLb/APsEW2/wr+v1EBCyAXM5wQUPJZvlUqogKx7ZyNRIHp0it3ax3RG5blMMy2SHQVsdy874P2+X3Xp5Aj4AtmBwC+Cm4uXKUKqX3RCNMXLHAlyZEFsSvIwAdyTRleBS3rdMT3rhZRzFGiwGm/W/xHeOGjv35DR/tqD5OCK1RWOI8qnrzihOOfKC5NsNYKQljbGK3CC8kAEzIYUMtErwNjagWr6Rr6oFInJiHcBA+IjAiYR5RWx6JEbyeZ3cVu0W0HHD4P2+X3Xp4wcHwGGLZKYKoXLnMVBIDRNIxM4gPCZJVBpgIFyywbNJ0Ed+ArnKIM5pQGDpmFgtM0hmoWjVNDbVfqHGGDoWn7uV/UO9RQZvDQPXkfyVw1d+/LMI4eBNBF2woKgkHAWXmHryTW0/TGBTIs2F1oiuDs2S9AazDsSVGMRi3Ay3xmUJ1EMyoOC055lKneCWddWWh/2ZxCotSq1ZZ0ARQ4l+ZRShOYp/rMGYoIaTb54fB+3y+69PGuXF4i4wrQzk8/5dKHIxwxALODgdojmn6iqE59IcWMsYSctYIhyhfSbsSw8PevSB6St6piXklUyptu+lS/BcPKjaP5xKP5U7BphfDUs1av54au/flCXRFt4MuCAGY1BG12wRW+BKFb5wTipjUC8QF3OZLGhPaMcwpntF1KBKKLwsIs0QTWG5jr2sHOMGqN1NqgVKlYm0+Oha8h+JbYoGS4YKlY66lWjcDAnp+Cw/MW5aBdI/z/nD4P2+X3Xp4RHxbRSpDGQ/UAUH6mvn6i+j9Tk2A01C1SgDX5muTUvnF3LaCmPOYNJ0o4jB4ljBtMxPCm81wctwQJSNicoHyFZTj7w6MSUUO6eW+ChQAijhseWuGrv35RgiLyiJEWZrEHGJQYzDOp1CpUSucUqgVmepvpAqw6V84vxLn1iB9auVQNdIiLj0izuJjoISV6kIXaxDiQ/ESeJuqxEMLoPJlXDRwWEsFLLi8i1wq1bZcwOiS9ixgNzA2xzjEkEeawUlTQB7PvHc+D9vl916eWJXBAbSANahXlFRZqXooitM1S/cb9v3HCl+5eh/cVstcUai3LpUu4t0MY7jxzUHgs21lzrefPhvfM7ZnbMzGCDHpGaYpJq79+K6YdRQwOCU5ITcspqXfWMLwdI0C+xEYHvhNCSHSVG2iM14ssQ6itsME3tWaxMdNygZz3qOvjNRTnB85647ocLDXrNS3kcJ7wUo1AYlHNqEoFBHRi4S1RKjDcZy2uc7ZnbM7ZnbM75hJ11QDjHKfB+3y+69PKLFxln4xKMPaELWkgrFJu3AMU7l2Rcxx4RlnBSpjBwGGUpVxcSvBfi1d+/E4YVKGBuCouoQodSsMpCAMeWkoqaI4EDq1KwWDThREeFqPN9J+xh1hqFGsxbSn5mAUVVtiKEVebDVzJENXGpiAw85Zk6oXTC5eXgxM9KdGia6LUqR6iMOHxfB+3y+69PIBcwhDcReI8EJDlA1pIShuNZYm0d8L8Y0wklTCwREiRi2St48rV378YhqbQUWykgrjEX1ps5JQz0vONigcckz6iru5nZ1Bw+sdx8oS4qlrwwGtxrOCoZYbjWZmaGuQwyhcu/EyYAxCwiF8b4P2+X3XpwBcSuNMfkhRkm0wwllmYcHWmorSQFSbebpM2YQT0YJDkROkaGvJ1d+/CLmSGEsM6nkS9ttlOUAIbBABg9ZRNL6OsORwYkAy6zLpKrGC/SLA1Fl56oceE1UcpmFhJnUZkI4KysqLQnL8xMFQDKpfNx34vg/b5fdenBicBhtl/KblTlx54axM0oLgzF4itBiw+sTipXlc2Opy4uwGKskrZJhssaOSCvHq79+F1BzGXaQrGc5lCAWWyAqmOUUKCPSVskUnVjKBBYvBUHXsxDpAG5S8cCp4jUFM22KCGJaio2BNWycolaopvcM3y3W5VWY5zGAXhQd0R1ER8fwft8vuvTgGNuDitERgE6aIIQxhGG3EWIjOXnVFS6AKR030lkEIUWdUqmSiYtQSjw6u/fGpUEKswP2thbYEq5a05+kULFhuZFKpyRUPMhGDI5lRLv8R+MOj1iwFWMconW1lU3HOY1NvDIavKhsiyyCpdCJ25SgYR7LGIIVy/5BVQPWO2LRVvOA3qnlBZGPh+D9vl916eEahWEYZg3qEu4gwYhaEwuZcFtSsVPE2iY8AWeEpmIzMBVYi9XMamajZBygHjJjnLrgfBq798DyTkMWIgCZswRXXlu5XiOovNsvmJqxyS+rMGo0KwribT0BgxZg6YeXFZUEOFQJpFXUKrpgsgK0S0udQjyERFMRmJyxENzJslURostTTHz6QOGW0Li50E6nnKYAxLpFFzHUUNt1Eprw/B+3y+69I5cRQG4hWZSLgjcIlZThfgMpETJCuyUwixYLYWIowIRG/AiBpxB1KzeSABiUEM4hqWoAw6wU+A4au/fBVFNeURsQSkphCNBfWo/NlMnIZTHR5QW4Dm84FksjaL5ncduaXGF3BVDrcjbKXkufMgKUj1iFykRCCqmOGEQORAFdQKwEwDVekEOVFR9YAF3zl7Squc6JK4bgawJymYFyyjdYXrLpRiLglh4fg/b5fd+kPDaAIKhxZMRQZZWbjabeE2wwsmtv1HLg1NxMJCDZY1G0IexiLsSrlK3KSyZl0RVlRhlbKQXOYMX30yZpK8Grv3wMAzD1nrBlpt5xCJZ5QqqqIbZsxzKwaxayyzLSlMaZIYlMhCJNBlmOkvEYlXHIfSMzqrw9ZYlHMqw5ROmWMVT0gZrDJuFLDprcHGjjnGtqqw1MUbwxzlNR63F6YeCOg5xnLAvYELZHXOGtnDWohGaeeIFko2MC+sR0iU8fg/b5fdenETSDiDGZHWp6o9Hi0QQmMiDYHKK+JkYsrhqjgoXUwlJXgJcYIbyWFcL4WJcAWAFrMhuHOJngrHg1d++GqLG4wzo1OmGrNUQtDVw85ZUiQI0giZOZi3TKC9iZhMOBZ0iZUpl6GDHm2Gv3FK8dcyWkSMGEcJitTYwwheyyKm3OAWolbXKGechnEBVIMMvpGrizZBc0jnLC6SithsS1nMYatSjA3mCtrUBA4/B+3y+69PCKS83HCLD4hJQPWGh5kqrAh6RCwLlRWhAGWD0QIVjshhCJZ8adCU6S5FDBGWZvEcOOrv3wpXlEaCLaHlqVYqVuYoOaKodpiy4oEsZoQYQfYB0lKWczfMkq05Ca9IO0QaqMtwgQpMxzhqpjoOhRXSUTkiq8vooS16tPWNOEyxCjOekRJGkyMoANVlLma/JeR/MUq8h/P2CXLqo6wDRGZePwft8vuvTwgtjjKYLyFgPrCaR+5txddYw5+YaOc8QW5kJjJG+SY9ZYV8o7jBEp4Bx5kdiV/tGZkMkZgJojViMvw6O/cxMELIg4iYYhtuNDPKApcVESPC2XLgZYRTaWYI8TPQ1cvFOkKVe5GMjLN7uezRiKwLV1EpRtYRmAWq4v1lgDkTqJkZV7mmC6RqVjIeku7RxHgTXA+SMwpTFNzZziNL2Jn2sd1qGkbBrwfB+3y+69PCGJdOqKJYzgGnwnMqMQyyB2+Ys5jQ8bkcIykZdzLFXFfEjAesCl6E9VRWQZbM1xDEVHTNHfuZghpUCx4lEO6CEjQwGbtMqRaZle8PIww014CMMaSMdAsg9USM5IeaV8zd3s42qra4YaY2zLpUbocR8iGuusM4ssoAQW5iK2aJlQ03LIcc49s3l5HpLWmC1cfg/b5fdenhXRwQjuIxEA/qIi5TbwjUpY6pZMuNeAmBccQYmPCFsoQWJAJiMoi6lDCSyhqZw0yki2zV374CjiVZagZhGECIbIEJzSxUWxhqKJd4DrLoY7T4LjZFpKw6kHPoQbh+k23/xCDaNhWOh4QtAt9JShkgBFI5DmUXsN3FtDiCQHCXEBKS+cNjYPOAKBWYOVoM0xiXsKYJSJwzNROHwft8vuvSBbE1AXwMfSCDmYVKhwrUIyLfgNxITZNM5cRxHfEkCFqVUt8OSHsZRXNQyBNwbLGxaWxScNXfviMHOiLArrzmaJDdRhA66xWWvNHKZw3jXSDA+sEplkxjKglAuCkA+46jX4n5WGjEK066S/KNQnxMKBpljFvfgQIHGzlK0pttekGvkrcMkMwFoAP9hiirekwrFcPg/b5fdekHUxTJwK+pHQKOteajBZLr4SblRagVF1EN+EFiPKVOSBoJW+JYjtqpUqayxl0dvgJq79+BUwcN3q5pER1rH1JdZkxM6v5hVGhjaEhRcUrlKGJkLzN45yvOEwwL1ETZxQr1qsw+AHVjO8iBmXpWWrLILPo8CNQg2Y+EOoEqJrT1IvazEF89QpdqIAAyQUzdPg/b5ffekFI2KlC3BCMNtRwprhkk3lDmV4BGDMou5oxmWhzkZ2IlNcbEHYgYwzZllpUyY8iC0YPFZVFt8Orv34Q2jcdEOodFOpgAt5k2LqYlOTmhwBqMWWuoIBM5SjrAbAdXGtYGEmsG2rg3An1Qbzo+AG5WYW0QKjKrLvsy/NCj3jaarCBLhy6uFSoQWGNT3ixZCr7Qmxu2IpFllimZtnwft8vuvTg2jFUyrcoswjaY7JTaO/CqgXUO8IpFTeiWuJkSpUMAi4Uah0VyhUIWHxDZKmmKvi1d+/Ak8xENLCzrAoPzNwDnUa4peyoZjEqKYVmOF8Gy1Br1ANyrrCQH4lS2LxEhORB3INZuI3CmDk7gTMOkLUW03PWqWMpyXGm46RmrIcykAqJKnKXWloJSK4Ra0lRYwSg4C+RFdp8H7fL7704hj6RCLYxSZlspBkQI+ALlbmHIyuNS7lRuYjwAgWqbVLSUDAQjylcsZ2zUfdHOLfhC4M1ByhjLII+DV378AVTGBUMEoHMpG8Qjp/CZEotAj8xm9GfZKGWQdYIQVgFUQdNyvRDqgVadIvHrxbyiBnDFMYq7wHRKVhQQ2inA1G6ORK+yYUBsYgLEzHGietlejLkuCsVbgVJiJQcrWWYjEhMjULh4fB+3y+69OIhuXiaTlfOO2jMRiZOI4YRJTaUVHWGAKKOIKr3g3TLZuWDDDkhYwwFgGLlL6mZ9x34bIEzXBoqMwpLGAHg0d+/Bch6pg3BaIe83qG+spcadJgX3qGRLIYNV1mDEcAx0mScYkBtx1S0IedWpYj3mKs0uitxReXLoQbGHqRVfmGU22pqNR6gxGQMCZlASwxcABWJa1svE6XKBTrLas9Iq1ZlbKZ05QzhR2MICges5yldZgAo6wpIiqxLtzqMSBiUTUtj0+3y+69IrHG+CyhjEcbiwNMAaHKZlJsZr9ReC8imYMJdMsoKmG1X/Iipd8OZSZ3BVqEuBZXQQs7z9T04EEYnRQtEf8AIIXFC5nKGFqkDAlq3D5iUVdzon2coTCzRRltQl0yx7C/zhYeuZScuwWoREBlYrD+0AS2L0iGalLMqYV4ojNXfvxZwQgpfUQRLMRVs7RbqF1iG++52kaKVcsZiLDJj2lDyxdNxeb7XKHMUGECsa1GUEWHNEoaw5y+0/TEWmEaTow6IqRyhs67VDgBTnzlHJkwKrruDbdFg7YkLD+X2lotn4iEqSk6TVQSkr1za1iWlxftjA5Osa0ekKUHWY8JSLcQsWWJcsLUirUFQrc7z1fL7r0i8eFUkxBc5QLzLYLfQ5xU5CJnN2OhX5uLGTmqxsolKlX4ixURSOT5jth8qyKD9QQKt2hf5iAiI2JynMdp6xpUVWl/bErYUqJPxAEa3f8ASGWZTndofEIljYgX+ZdWqTTDvz/ZhydWlX5j5ZKsKvxO1PvgZOsig/Uy9W7Qv8ywEwkp3OUwCjfJLl8lkvI5r1HEShEaEC2UsfDq79+K3DIqEUTSRJdY5gHZtefYo9gv9x3aCqfUc4gubyjKKzAVMPOCOaSy1Z/MMxa5btf3A2t7yzJK/wBqVOYg2h7M/tQbZZY2/cK2L95kbLJW7B9Ynbz5w2ZPzFMKfzAKAQhctxmaRjDyiEqyexR16RtcJkTJB1MC16zDhYitcy6UudQDZAW4xp7W+X3Xp4CjhHEoxazAiwwK0mtXpjWqq2vViZSZlywym/JuXxWFgaXESKowKzPF+FJ0LuJKXxJZSw8ajw1d+/HttQczKzCrFYhsK7jlomAwbYYfrGm2ucYPIx1sha3GsYHgU0qDmJuN6PKIi4jCFlIo5/mKE1gmODMsYaYY2b6RUaXgvzGth6peKKR09YLKZXcb8Knh8H7fL7r08K0MsQkm8J26DmvoGZYEDSWUOf5hLomdDJ/kqllwhYwWsCQF48quAXKzBxUtSnNcIhKMRvemh/jHUsDt2m+h7E+SazDtgw7gRAI8NXfvyDdukenr7EpVQQ86Nr3YRS2x9L7gwxYrQStrlygjKMyyqKqFq3t1Ey1LMbJp4FTLxLoQqjddXUZzQqUAilka5FFYrs1UueY69KIWXm0p9oZgq4ug8xcfSAx+SXXqxpjxfg/b5fdeniDUtELYHb3A98Z6QQOkqDOfJDL/AEhdYxG2VSXIrfJNxeI5lzLd1LOkpS0hLgBearXxLkbPVtVR5nRHJ7SgqXorwuKSuOrv346m1SDtOa9zHtKy4Taw+eov4mRHKAUkl1ncy6fqWhUUfuWtl7mAY4XEp4m5pFhVjmLM70c5eBK25gBbxaUyjg1sqKawm42erUFBwodUq44BCGcFDhsIxsy8vNthKfEfB+3y+69PGCEWCoDl+WDUMogluFLQEhZikqvLF0jdIIcDNJqPlF3MWpiYlqJkmkG66sd+PV378Z/Zg1hP+uJQMAII3FBhDcGrdSo0pekJCgVu5rNlxZlqlWo3LZXFjVQDKNQilesWEkJ5EaWj6mpTQaqK28Nsb7yJ9c7hNgCMfRE4XJLQ3OT1hTDuO/D8H7fL7r08QLagg5TdlGC+YPleN123MVk/yFJlLRrjSmCPAFg4s4BcaSpQTp2GTtMpBqO1uARYwcuAoVvOhn9y5lyhXyQVasXP+ZevTx6O/fj0m0xX1GX5ZlGOeJsc0k9Ir1lx6NEVzDnyhA2JprHtL4odZudYIwtKFjplAbMUkqXxyllRKt1XIQCIW9IR0n+VJaqskYdKK5jBXmQXH1hwBhM++IioVRHUlA2JF9NscdRPR3Hfh+D9vl916eFUTwGFKo5Qzr9wLC7QUgLOkhGJUxywJglhULYVRkEikt3CMSoUQLiaZBLBLYMS1LitQwIQrtqPCrTLoleLV378SIQVFcL0vwPWeV1zCKHrAiLTm47FCVVQwLuGGiqFvyIyINkIJqPRmMrXrEISxWpZVh5kf6oN6l0Ep4DGZWCx6RXCDJWoBeFlMEYAbxmqjQ4ctUvcs051yg8uzGqpVyglpdAqOhl0SvD8H7fL7r08Kr23K6HNfQIdFaVnqXqtvg5TJUDKKuDE2BDwkLJBitLpiuASYWAAbqXXVmgmgyQBmGkDhIB3ChgG4XUYZxFPiwHJup/oGn0rxau/fhqVs26HNfQI9SB7vm+q/FcTGLQWjMu4lsZm3+S8kXsWPrR1Q2xNMCkTqN7F9Z0E1io6BSgHkMBl3uZaXHSZ8oaI2QpfKFgQ7lhIDlUPlXaq5RVVLVtY0YSJrJGLku2DARjOIs8b6zFV0w2Gvdo+leH4P2+X3Xp4WRd+jmtku48V6BHkdn+QaYenhBenCdorrKDCSMzNy8KshwLKBVUvNEWEE0xOdDBaVHaAIKL5WK+C2QgObQz+/C62HuVa2Pi1d+/C8WhSqw7OO0Arco38oVmFMjTGmOutZgZmLyVLEszMWxH0zI2ajkVylW87CFWuquEXN2QdFmi5a4BGwcnrLF8BTUoS25zl4MVGLI1i5gy4xxn/ANPhUtiSqscJ4fg/b5fdengL0XsE5D1XEpbRRyPCVhLaS8vDYmCD1mhcyIi4iYLZTIlQLaiItgHPKYcsRbAKLGLVxnmxTGyW8EAUFAW7kSsTXHM60wivN7nzUcsikeT4NXfvwNYrluuj1dRtblFg6cRqXiDDPN1zCCBshRsnNS3dWRheMGN3frEz+WELg1j1lWoaOvJOYQ5hNOxkb1DEFGM5MJYdr6lsVjpCvUVwS1cx1xcI4ndVSr8RzlNbo0Po6/UZAtA8nj8H7fL7r08DKEB+0PYPlfFbVcBplzUW5xSbl6ixHCmARgRY1asQttiLjDWpYxjNoMcbYS8eBYiLE5MqkH4OK8jpe/Bq79+DKUQnL5X6By8QBQoFtGuApbGJkRtS4NsalAxZmRMpgRVVZNx8n03L2fiYtXQAoikybMks8TQFovHiQERGxOUxsKXJFPuePwft8vuvTipCQ6uul143pgYx1P8AnGuFxHOEqO/BtGqVGYrqNxklvAairxQAUK1zA+/GLBdW7gQGBEyB0npx1d++LAaBd8yvY8Yppz1C1y9Bi1IWggemYgZbso/U/jf8xAQIg1ZzisCaAs+uCKIVy7P7IrlKfSFBMgolz01CA9LbKPTJAb7jPX6Re/1/8xDUQ0JpiWgaMp9qIPVaCz+zgJqhai58RgnFrf8AawlvJLspj0n8aRPSkND6kUpDQNn1wTQkwbP7OBB6uqANV4wIFoXfSIQNG2RYnD4P2+X3XpwIqDBVB7xE7tfX9rn2rx3zdGFbU/LGUagYZXpLDJlYD3gYBEvIfMYBYpvPPzcoBRbyH+xKQabp0yvb+5dZQD/IT094I9YKFVlWZHzBzK/fX/vLlHj28g/Mug0NN0yod35nRdr/ABEsc2VgP1EImzvzi5uAWCV/3lzqO3/oLlA1dN0wRTAwSDe/IwAOJbX5LXo+nHV374CNCB1eplkZ0w9T9Vz5YxDlNeD1RFWRlbEosW8S1H9TOvOXu4/+PHVFpz3P4uT88Pg/b5fdenAKrGnyhqeuL5AzAMqExYt/+GmrprV8NHfvg8CiDSVjzX2VDrLE2KRXTRyilFlcVvp6SwDX/m6pWsMX0ufB+3yz2vKF5fVIOT1XBAMOiHQOh574blbmISZ+C/OAAoU5O3s6feLqSB5JNHfuYqbF0Gj6rEq+FwNDkHoHn3xwVf8A5x5UreT8HJ9GX5ih62+Wg5QK4vov0mid6JrqVO/PqPfn+Tuj6neH1O4PqU77D0nZH1O6Pqd0fU7o+p3R9Tuj6ndH1O0PqdofU7I+p2R9TtD6naH1OyPqdgfU7A+p2x9TtD6neH1O8PqdofU7Y+p2h9TuD6nfn1O/PqI9h8Tuj6ndH1O6Pqd0fU7o+p2B9TsD6ndH1MuO49Ij3GSX4hPaUC69NVA0Ca3AX2qUOe19IlvufSd8/U75+p3T9Tvn6nYf1Ow/qdz/AFO5/qdz/U7j+p3P9Tuf6nc/1O5/qdz/AFOw/qdz/U7/APqdv/U7/wDqdz/U7n+p2D9TtH6nYf1Ow/qdo/Us7n4nYv1EGns/Sdz/AFOx/qdz/U7n+p2H9Tuf6nc/1O5/qd//AFO//qAYCdqUtHL0Dy3Xb4kuFTKYlS4vIUXEYvEOFy4wt8BqPgeJv4bZjBXARamff4QBZ5QyFxDmd86ZUqmveVGz+4haL9xwFHvKW0H3Y5TF6z+sw/8AvRt90f8AqoY+6ZMfuY//AFkHfuT/AO+jQavVheLveJZ/eiv/AFSoP7UvPsSifMwlJd7za/Ym0quqy+zf4WI2xOqxovPOrgul1VjdgvqjEtj3jGqXvH/63Dx/eokR/dKaAT1lv/tDX7mIf9WMlVep9Xy+y9OGbpClFpwcf/CMWXLj4KIRfOfgNzSJiWQnE4TpHvE0jpGha7Jne3pAyGWkdNWok9Yim8y7cxOAcqbWM/SDFEjZAwcSti2O7YOYrI80cxc64JQx3Vy4RLI23NaZnkssl2ShoNsGKWncW9xS7jAciWUDEa6CACNf9vl0PvqLmCTXCUzI8C0V/wCoLYcAkCYQzxUh3ApG8EAi71EMSar0j0QtRM9WBgtNQQDpCp0m5qMOCmiqIjLMI8AZY34KoWhKicF1FDbKmiAuo4ZSsFwAfrTA0dIWsFMJmDiDGxityygJ2t8vsfSAlMKyLcyhzDgDn/z1xDFlXwDhCHDheIKXX/NLi6jEUfqCc87IWkuyG46I6m4eARFxACJhLqXNcMDxvlwYEW4OYwS1cPM5y28QljELYP1DlIVdYZbIjjwSzMEFqYmtRhbf9Pluu3xB1p68ARZQZ4DjgZ/+KvCcA4BfDsI1hJQj4HHT9tIoZlr7QUjYUSs5zlypxGZJgckz+WAWDWTBCvHUdwQmfj2i4LMmBmEnrHDLmSQKUQDNQmGOEpuC5cgmzf5mxUzZZ0l549yl6p0i00vK5ObKjKaL2kEamDmuFOITAPVgFFYLZJTD3t8u4dtQiwRzg3nDrmRBxS3/AOE4O/CMGBcslzDrUbcpScYccJ5QpYoVrq4yj2Z0EYnNFgWUity5uDBBTTFUucp0mmTGJngzbwkIpc28LCKmbaqKUQwKIWpQI0JR6P1RRrksektwjaX1it+SuMmaT/SIflPek1MKzn0nfrFGo1v72+Wq7XHAGDDgK4YOFf8AoXCBYVQ2IC4Ao8xYozd6CWouVGyUuD1l6BgZnsM3mJeksz1iuoSu8RoI7ioxm3iuDCbRxgARoxHcVzKdcoMZiXsyxI4urVlLeotWLncs3Viu3MclYBc1uWJi6fFstF7p/wAlpmVVYCKdv6vlm+1xCiLUJJOOIlW8A/8ANUHDfgAhq5V2h01EsKOZnDR6JbRfqBrcbSyOyxG0Aol3DWiuktVXcpjPOJgGNOokPlAiLl8BZKyEy0m4FEr61EuDUVjRw4mZAgrIvqSzBHWYCXtOc9Izu/V8vvPSCVBmUwgweAtsN+AB/wCO2C6RV1OWRd5cxEheaImZfmCobhKnL7J5SjmJvfBgv9w6Pv7y4EBTVLwznfsGa6spou1VA5oLwA9pzhM+Hp7xACvUPqRbjrLhSK5TCuBJUrjUEPGxqOzTBGh+o9010gG4rMEXpMcv0wpVzO1tgcHd+r5fc3UNiOYkDgqCFnh6QRjE8IcVh4kMJxNsslvKBeoQ1OkRfSKcaYjAVCzLpmCDaeiVIJUN728hc4hV9f8A9lJxpkA9ZddOX5l0NFLaR8iTdjzrpDgL5LLLAV2i7A9ETK/aO+BwLLm3EXJg1HVSpbpBDghJeYuYRGkXoQ27qFS5Ke8IVv6S4GCEi4mbRrOCPMuVAm4FU1Oy9Xy13vKLQi4ZbHgcvDeGPBPAQQCJE4FQhwy4maWwUMTTiUNQ5hKVqUWiXUieEWYvAsvplVSw5iLyIRjP/ZXAlUSWx9oCCq2WecQ1+hgc/RHuQcAPQIscSH6DpHUMwUPN4avdwOBiw3lD0tYKB6RKohesWiwdXpAnKG5S3RTqTA+7sL4jQw2hfPC+GzkjwXXoQon4SgSC1JGWmZYcuYSDLWNYHKZhLsC202lAYgY5yyJDXb2+X33pAQJWeASjgZZighBDBUZUqCCBAhaARdiZeAUIEJ5QKQNymBBBolXACEJGVNiEUwo8Ph55QXFKRQKwHvD+U5wenLNOFjhoSyxqoPmy0BSQWXKgQjwMXOnQZfgl/Cj1sFg/T+4fXgoLo6xJEPmN/wAIAOF1L1eRCZIhqDyj3xNZ9E6Q94d3WPNYiwKyuEwTGdEYILYhXrAjAlRClwwXrwg/qy52QKWOV14yGusWh3M+3t8vuvSBiuFuAKgWDZmhQiAwQ8BlK4EUODopUYlVgjpREoo5QdyxFvMEHDa6JUkoMa4YYwMAkIMJI+0si8PhZNRirgpbOT9RsJTpC0V3Do9do4ZYu3us7GWMTyQqJqejMuJTB4IY5wJCR7Xq79IlWTegZg6b+ZCX6YKL1Jehy/xI6tKXez1YGufTewue2WMqa0QLG1rK3HLgFNxUBsQV0kuFGOU2NfuZhROsZDA6sEigUFz9ZlVWstShsmMwihR33tvl916cCzM+FZKjUHpBgVDpiBi2zKMUcBw2RVIVZJgKmlxyxEPKV8oEdRBynQRJCXKDmGqHW5SuWtXChuDzQ2wZex+D4eVsJcXbMiPoQl1NYis4XQGVjnyZWKc5h1UJdDpjKkzMp1YjpGDFOnacfvrEVkhq5IA169ZiTFGVnp0ilU/kgiyqmlCGj5CQr8RoPqJQ/ExU5MDjatRFL+0UAUzHzAjdma4UYG47/kZcTd7WJcLXvRGjHHWKZH3ZTDu1lXUMoFQessPtl8vuvTgUzR3CMwEEgIOXCQ2xMwZZw7cHmVEHFwg5Qesb8BlkkEWj9QjkcJTqVSllfP5jiZ+Zab+ZfvOaSs38xKc/MRuZZnw/hZ5cDLbXxCDbLdmADc59Lm8W76ShXJcsygNlDcJDEhRLIpLg7EBC4p1C9aZSRqrUEGTlWyB3bBUDDqwcjbKf0JhhqGmhBdlgsLpu40Qow9XUNbhBapoJcJGgoTkyvgWq0Abb6TXpChTYegkeO4JUpy/z9yiEiqhv8zGxMC6Da8jMwGGNL0esNQXh2vd8vuvTizcGqZEXcJzidZYx3HngeHXgcxUIYIvR+ZzD5lFcDdQopiIFFHDHlxNkXyZVzYJ2wJt/cYZYzziucVzeC4x4nwZHEJ6GMpCucyesD1jWJKSopt5QuXVtYTFXG4g4Ubm5ZzSJmLloLmgBHcpXRlwYSLiglC4gM1AL1mZbqDQTM3SWQ7IaVwB3uIIGGUv4Lgje0F9WviVrLWELrOajkWw3ShrMpJz9jGlNofEl9f4DEd8kawehvDKIsUVB1xdnEZ2vd8vuvTiVMrmOGMYxmKPBUyRUW+AuAlzEeosMMxkAiu4yRFl45HYsuDmFCJG0eFy5fgPgya4LiFqvSLK/JUKy/wAQtakuDXCylmpZSJzKysOBMiNTpzBKMqDcrMwUphDaYgVUdZZSLXLUaqyzZYjAM7oyxB+AJQqobDnFQiJkTlKihDaPUh7eL2e/SUiD6tWty3sGTIV1+4oYJYpDSTUC0pzBGZzEDt1GFIyJdBL4XFZ7ft8vuvTiNxymEsPAqYWjEjCVwUGXwqYIkwsxTaLbMucsopgsIaajiy5fAqXCVE8R8WbxwLizNBKhuJWywg1OSal7Lc0BLijVRUTIRi8xvQhHpMq2vcwAj3I1CHQiNhHncGBz3qZ5hN7gBQ+El1VVdrLPMjqnhZAwg3MrweFy5cWfB+3y+69PAohK5aDYsIpcuXwMuEEEEi6xkFzYMbu4wQrLovVSzjWY8SBB4v8AJIxQjwXUG4k04Dsuc4wXqjXYxipmMtqZntMFGC6MIw2ryiWwMsTaIjQw9WYL+8ZQzDGyOL6iKEa1Jmh+4/EC0JfqWUXEwjymMqqGuoyqKdRTzG6hRbLpvHVlw14GF9+L4fg/b5fdenkDgQMcCVFqLfguWg4SsfSy0hBSKG4ytiwZcuL4F1F4uT2cKhDwLmKXKMagis4XTLRSyxzm0JrGnOJxDcxLiijTEKvLmzpVcyFxROsZ4U4DljdWt+0ckAyqdQBwtotB0SVYoQ580/EtlZv5Ra/UvK3dWcoXpuNWiuKAwB+I+4tagFw/j5goanYzsLLl+L4P2+X3Xp5QcxwLgPLsIxMVcO9i3KmvERfHyezjuXxUUeHrL4FjBNbcQCrXKuKkayppmpuMMswQ4lYlCX1R7MbOVfeZdx1DGQtchCI05QDrbCinANi84u91Yo7B1Ypo/mgJg/PxCo8TbGwOfI+D9vl916eAeOiFOAt+QRcUhtwEuKcHwX5F4e3xyKUgu0ZkCdSUwTrBS6l7cWMrKDdJGo5WOYLyZgFqUvcFJSR4DTFlwgVvr8RagthS/wBQK3K3wc/RGLNRX1bcp0ZVtYmOPoLB+PI+D9vl9z6eAf8AjI8Dg+F8vlP8kGnjPAGic5yjOfEYR1NuDNvBvOXnXeer4v/Z)
Localização AFM e estrutura de raios-X. Crédito: Weill Cornell Medicine, University of Leeds e Washington University
Cientistas da Weill Cornell Medicine desenvolveram uma técnica computacional que aumenta muito a resolução da microscopia de força atômica, um tipo especializado de microsca³pio que "sente" os a¡tomos em umasuperfÍcie. O manãtodo revela detalhes denívelata´mico em proteanas e outras estruturas biológicas em condições fisiola³gicas normais, abrindo uma nova janela na biologia celular, virologia e outros processos microsca³picos.
Em um estudo, publicado em 16 de junho na Nature , os pesquisadores descrevem a nova técnica, que se baseia em uma estratanãgia usada para melhorar a resolução em microscopia de luz .
Para proteanas de estudo e outras biomoléculas em alta resolução, pesquisadores tem confiado por muito tempo em duas técnicas: cristalografia de raios-X e crio-electron microscopy . Embora ambos os manãtodos possam determinar estruturas moleculares atéa resolução de a¡tomos individuais, eles o fazem em moléculas que são estruturadas em cristais ou congeladas em temperaturas ultra-frias, possivelmente alterando suas formas fisiola³gicas normais. A microscopia de força atômica (AFM) pode analisar moléculas biológicas em condições fisiola³gicas normais, mas as imagens resultantes ficaram borradas e de baixa resolução.
"A microscopia de força atômica pode facilmente resolver a¡tomos na física, emsuperfÍcies sãolidas de silicatos e em semicondutores, então isso significa que, em princapio, a ma¡quina tem a precisão para fazer isso", disse o autor saªnior Dr. Simon Scheuring, professor de fisiologia e biofasica em anestesiologia pela Weill Cornell Medicine. "A técnica éum pouco como se vocêpegasse uma caneta e fizesse uma varredura nas Montanhas Rochosas, para obter um mapa topogra¡fico do objeto. Na realidade, nossa caneta éuma agulha afiada atéalguns a¡tomos e a objetos são moléculas de proteana única. "
No entanto, as moléculas biológicas tem muitas partes pequenas que se mexem, borrando suas imagens de AFM. Para resolver esse problema, o Dr. Scheuring e seus colegas adaptaram um conceito da microscopia de luz chamado microscopia de super-resolução. "Teoricamente, não era possível por microscopia a³ptica resolver duas moléculas fluorescentes que estavam mais próximas do que a metade do comprimento de onda da luz", disse ele. No entanto, ao estimular as moléculas adjacentes a fluorescaªncia em momentos diferentes, os microscopistas podem analisar a propagação de cada molanãcula e localizar suas localizações com alta precisão.
Em vez de estimular a fluorescaªncia, a equipe do Dr. Scheuring observou que as flutuações naturais das moléculas biológicas registradas ao longo das varreduras de AFM produzem propagações semelhantes de dados posicionais. O primeiro autor, Dr. George Heath, que era pa³s-doutorado na Weill Cornell Medicine na anãpoca do estudo e agora émembro do corpo docente da University of Leeds, envolvido em ciclos de experimentos e simulações computacionais para compreender o processo de imagem AFM em maior detalhar e extrair o ma¡ximo de informações das interações atômicas entre a ponta e a amostra.
Â
Usando um manãtodo como a análise de super-resolução, eles foram capazes de extrair imagens de resolução muito mais alta das moléculas em movimento. Continuando a analogia topogra¡fica, o Dr. Scheuring explicou que "se as rochas (isto anã, a¡tomos) se mexem um pouco para cima e para baixo, vocêpode detectar este, depois aquele, e então vocêcalcula a média de todas as detecções ao longo do tempo e recebe alta informações de resolução. "
Como estudos anteriores de AFM coletaram rotineiramente os dados necessa¡rios, a nova técnica pode ser aplicada retroativamente a s imagens borradas que o campo gerou por décadas. Como exemplo, o novo artigo inclui uma análise de uma varredura AFM de uma proteana de membrana de aquaporina, originalmente adquirida durante a tese de doutorado do Dr. Scheuring. A reanálise gerou uma imagem muito mais natida que se assemelha a s estruturas de cristalografia de raios-X da molanãcula. "Vocaª basicamente consegue uma resolução quase atômica nessassuperfÍcies agora", disse o Dr. Scheuring. Para mostrar o poder do manãtodo, os autores fornecem novos dados de alta resolução sobre a anexina, uma proteana envolvida no reparo da membrana celular, e em um antiporter de cloreto de pra³ton, do qual eles também relatammudanças estruturais relacionadas ao seu funcionamento.
Além de permitir aos pesquisadores estudar moléculas biológicas em condições fisiologicamente relevantes, o novo manãtodo tem outras vantagens. Por exemplo, a cristalografia de raios-X e a microscopia crioeletra´nica dependem de dados de média de um grande número de molanãculas, mas o AFM pode gerar imagens de moléculas únicas. "Em vez de ter observações de centenas de molanãculas, observamos uma molanãcula cem vezes e calculamos um mapa de alta resolução", disse o Dr. Scheuring.
A obtenção de imagens de moléculas individuais durante o desempenho de suas funções pode abrir tipos inteiramente novos de análise. "Digamos que vocêtenha uma proteana de pico [viral] que estãoem uma conformação e então éativada e entra em outra conformação", disse o Dr. Scheuring. "Vocaª seria, em princapio, capaz de calcular um mapa de alta resolução da mesma molanãcula enquanto ela transita de uma conformação para a outra, não de milhares de moléculas em uma ou outra conformação." Esses dados de molanãcula única de alta resolução podem fornecer informações mais detalhadas e evitar os resultados potencialmente enganosos que podem ocorrer ao calcular a média de dados de muitas molanãculas. Além disso, o mapa pode revelar novas estratanãgias para redirecionar ou interromper precisamente esses processos.