Desenvolvimento de novas redes interpenetrantes condutoras de polímero-hidrogel para interface neural
Lu Yi, do Instituto de Tecnologia Avançada de Shenzhen (SIAT) da Academia Chinesa de Ciências (CAS), propôs redes interpenetrantes tridimensionais (3D) condutoras de polímero-hidrogel para eletrodos crônicos/neurais de alto desempenho. interface.
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD//gA7Q1JFQVRPUjogZ2QtanBlZyB2MS4wICh1c2luZyBJSkcgSlBFRyB2NjIpLCBxdWFsaXR5ID0gNjAK/9sAQwANCQoLCggNCwoLDg4NDxMgFRMSEhMnHB4XIC4pMTAuKS0sMzpKPjM2RjcsLUBXQUZMTlJTUjI+WmFaUGBKUVJP/9sAQwEODg4TERMmFRUmTzUtNU9PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09P/8IAEQgCEgMgAwEiAAIRAQMRAf/EABsAAQADAQEBAQAAAAAAAAAAAAACAwQBBQYH/8QAGQEBAQEBAQEAAAAAAAAAAAAAAAECAwQF/9oADAMBAAIQAxAAAAH6cAAAACE4BMQ7IR5MQ7IQ7IQTEExHkxBMRSEExBMR5MQTEOyEExBMR5MQTEOyEExDshHkxHkxDshBMQTEeTEExDshHkxBMRSEExDshBMQTEeTEJwmAAAAAAAAAAITgTAAAAAAAAOHWC80MUjWpqNajOb1FRsU5zcqpNarKb1Myam4AAAAAAAAAAAAAAAAAAArsrsAAAAAAAAAAEJwJgAAAAAAAU3QPEq9qkVzrIytqOcvkRxelExx9bziHLeFmH1Onla/T84xejLhtAAAAAOHQAAAAAAAAAAAAV2QmAAAAAAAAAAITgTwb/OPPthMtotmavO0CdM+FN0YGfdm0nqgAAAVz+ePonnUHqWeKPaeRYenHxB7U8uoAAAAAFZOqHbnlVtNlko8q2dHI19xJdrNNblc46FAAAAAAArsrsAAAAAAAAAAEJwJ+f6HnGGcLCcoyO9505zvCMJwIacuo9UAAAHPP9EePbutPMs3jyYezQePs9LpTcAAAADkK7O8LFdnIhTbAtVV6zLq6WHLIE0Kzl1N9z2cDVtmbsupzudAAAAAV2V2AAAAAAAAAACE4E/O9GlPGs0tSmVggmIcsFMNIxap6pdAlAAAAZ74ku5dJ0AAAAAgTrsqSrsW8zpn0gjjN0ams20Rr1nZyq2XnVmN1rVlNkLETjnXTUJssqt59AUAAACE4TAAAAAAAAAAEZQJgpr1LMjWMVGvx8X0rK9+pk7qVReQCgDh2EZrDtgh2RMl8LCK0c7VImAABV3pOuyCZ+d50yV4rm7J3liM46zOVHE13eVcvpd83Tz1qnTZNLfJ5rPpY4q285KXVdTdy6AoAAAFdldgAAAAAAAAAAhOBMAAGbx/Y8fjfS34N/SBoAAOCtbKFgADLqymoCMhVbGMWCke5Sdtc7J86ly5OZu3JztGlsYzuIWdrqdUZkbq+xb2npdPN3O5Rj3UrtjYzycb5r0dOPZ5+oKAAABXZCYAAAAAAAAAAhOJIAAGbxvZ8bjfT34N/SBoAAqnyWXSwzZMX1Hm7KuGors4V2+XzF9V522rITakVNJ3sZazZZVZLZ2MpfPz+pm1nzo76t5yNMdShbGymUoazJCZ3jsqyu2KareVyc9GNQ0XauXSEyUAAAACE67AAAAAAAAAABCcCYAAM3jez43G+nvwb+kDQACucLI54V/gJOuXfV5oWx5L9D6nxf1Hl9GjwLPIs53r1+fl1fc36WzyN/n9Eu8akuxkTsqslslCcdCudFVekYavTJ5HPXqry4+lVrODmyGplau1lv2sWnbPuNgAAAAAAV2V2AAAAAAAAAACE4EwAAZvG93zeOtG/Jr6ZDQACudc5flc1tXXhLrvp485KJD0/N0+P0VVzj159rtdsHYpX7/g+x5vR71dleOkoWiheKLJwJqhajIAAAARkKlo50AAAAAAAAIThMAAAAAAAAAAQnAmAACGD0PP4a1aM+jrkNAAKra7Jflsf0fzuuXew76/PLnOHPY876fxer5in3PD3iXYd9XCUXDn0PkfUeP1WVy5NzFgAAEI2jnQAAAAAAAAAAAAAArshMAAAAAAAAAARlEkAACGDfg4a06c+jrBVqWYbrZuqd2QusjFmzyvWR8hT9hRcfL6vf0S5tgsfG9svx1f11Nx8zr97TLn0lsJV2gUAAAAAAAAAAAAAAAAAABXZCYAAAAAAAAAAhOBMAAEMG/Bw3p05nWLILbKreJGXLhVauedpuAAAAAAFfUvZFgzFlmLLXqSw0nq4d3nnK9uGrZ1wjV3NabyiS9ijqb2ezNs870fMtR1+bZqnTNXY2pX6WPZKEAAAAQnCYAAAAAAAAAAhOBMAAEMO7Bx3fXX6G9csN8gAAOVXDnauy2CwAAcOwjKXlhYAAAAIE1NhJCR0ADnRReIZrlmAQJgICYACEwACE67AAAAAAAAAABCcCYAAEJoqtKAAAAAc6KlqK+yLHk+lXbFAgADna4sjn5GpmkaPN9LPtgs9PEYNWnlmoZoHMG/yM9PYzaea55cWm3UwNqMPd3LaI6EmHXK+3FDZBMtumBV6WXVKEAQnCYAAAAAAAAAAhOBMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEJ12AAAAAAAAAACExFIR5MR5MRSEOyEUhGUeEwAAADh2PJHEhFIRSEUhFIRSEUuHEhHk+HEhFIRSEUhFIRSEUhFIRSEUhF3pFIRSEOyEUhHkxCYAAAAAAAAAAAAAAAAAOdEJqyxzoAcid52QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQpNLFM1K7ACHZRJRjI5MCnpaAAAAAAAcOgAHDoAAAAAAAM2mvEei87aWAAAAAAAAAAAAAAAAAAAAc7Aw3VXcuvI2y1nJZdRrGufn7686WWwujXWevi7MjyYvtz6AAAAAD5a+209f5b6n5Q9OyNJLT5Np6Xj6s56teWg320cNHcfD3wV/Pex8px930nqfM/Sb88hviAc6cx7R512ukuecPRU3AAAAAAAAAAAAAAAAACExgtpv5dey52zvOy1nz9OXXrNcdmSScIcLjtp2su0c6AAAAAAAITFNwAAAAAYfl/ts3P0+F9HyzXINcwMsNqbx91xKrIQL2YRruFWqq5LRcgAAAAAAAAAAAAAAAYrO041f2MprsJw1ii2uU1ZRZDLurNPUjHQ3muHLy4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFUpRKJWoU3cM/O959eRsjHLY9s7ZDm8WVXR1LWfQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAITgAAQruoxuXedzrvedshLsElZXPeKrlFagAAAAAAAAAAAAAAAAAQnm5NalMTQz9L1BJcnWt4uQAAAAAAAAAAAAAAAAEZROBAVVaimXYZ3LrHG3nznpWb5c5FtdjpiNuXUoAAAFHm8+UP0XzvQ8IvavMPQxZ95st8TSeuAAABkfK49P2NnyP1V52DXIDPo862a1SyLnWyjUzDTRDk1rFyAAAAAAAAAAAAAAAAAjLhEIAACw8P6DNHhz5sN84y567OE+mYJ0VqAM5oV2ADnQpuGRrFObeK6NYAAAAq+Q+0+c5evN9P4vv3mHTgOFN+e2amz9L2fpdCEyq6ZAsAAAAAAAAAAAAAAAAAQmKZ0XHXCdACgd4CEwArsJGNGpatFUTQpuAAAAAAAAAAAAAHOjJZOyaC5AAAAAAAAAAAAAAAAAAAAAAZtIrVWEggAKCAAAUx0+WvpMlhZbTYWAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUXjLfLOXKJlhnNEK5kI9GjneDqo5fVeAchYAAAAAAAAAAAAABwr75Mj03lSPUeX09N5nD0++XYeoAAAAAAAAAAAAAAAAAAAAABXZWYNV8SnNotMsrtB52jmozW2AAAAB4fufAH2tnlemePb5mo3VeTtNnsfO/RAAAADDZ8pz9P02/4j6qto35gCuRJATVyJI8JqxYAAAAAAAAAAAAAAAAAAAAAAQOU81FcIaxm05DTIAAAAAHOgDJdaKe2im4AAAAOfK/V+Xj0eF9b5PsnRvzudieHZh75/qabvPnW1jM74ZYpq7j6v0g7/ADQAAAAAAAAAAAAAAAAAAAAFdgZtOU09CuEdIAAAAAAAAAAAAAAAAAABmlems87SU9tFcLxQvAWAAAAAAAAAAAAAAAAAAAAAAKQuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB//xAAvEAACAgECBQMEAgIDAQEAAAABAgADEQQSEBMgMDIhMUAUIjNQI2AFFSQ0QkFD/9oACAEBAAEFAu202zE2zExNs2zExMTE2iYmJj1xNs2zExNsxNsxMTaJtm2bZibZtmJtmJibZiYmPXExNsxMTbMTbMTE2zbMTbMTE2zE2zHribRNsxMTExNsxMTE2zbNsxMQenxz/TR5fGP9NHl8Y+/wT6D6zTx7q61GqoJfU01tXYlgt1FVRW1HT6zTwXVmttTShrtS0HV0BmdVSvU02szqp+s085iEswRWtRR+nHl8Y+/wbfxae8DTFXprWxy1P/bcCvXaFQ1RAr194H1up9VFvK1iIbb1301msPpmsRnP36jS3gaXlOmlvIuOpNdt+jt5un/TDy+Mff4LjKaes1Uamp7IPq88u9b6qX5oqupNVLcyypm1BQnUJWV1DrvQLqkX6UrU1d90qRlXTVmqgjI0+napqKdiVVGu/wDTDy+MeFjvln1Bap7g9tlrTOpjW/bnUyl3UWtcXVtQHutdl3amVWWbeyjq44F1D9BIUKwZe7mbuA9R6zc03zeJn4w8vjH3j+Hbr/D2aOeNILm5jaizcRautquu+nLaimsNdc/1T8nn5Gl/63cLQ8V9uj0MBOdxm+bxM/BHl8Y+8fw7df4eylDLpNT/AB6T6Yijl3PclH/DNV9iZKW0Us+n5VzCpdlXaJxCc8fuE3CVMG4mwE+k+6KfXhT7HEBM3Gb4CD3R5fGPvH8O3X+HtFFLdD01ue4W6j6zasxGlahRwHqvqJYx5dYO3GOg+kHqO2PL4x94/h26/wAPbu8B6jvP7cbPZSMe7cfc7pujWBRk7funqIp2jdNwg9YWxwTx7Y8vjH3jjuVjt5mRKSNvcz90f26Nojlls3z7590z6jEEPE+1fqm1YUURG41+HbHl8Y8TWDOWZyzOWYy7ZuSKN05ZnLM5ZgrHZLAT7jNuZtEwIwC27BMNN2O0vq0fx6GsjGes9RBY85sFlbEBZtaZM3CAgytcQnHBPW3hX49seXxj79V3sPHT9v2nq0AA6bQWrRty8CsB63MHoI3jwZwsZy3WfLM3MCtjQWLGYILGLFbHhv2rUyiZB4V+3bHl8Y+/Vd7Dx03bA3dir7W4kAwHHSTgDi3sY9vQWAnMXjmIuOl/GEAxsk44LuzU27uDy+Mffqu9h46b27Pl2bPts6CMgcfaE7jxPs+XHAuc7IABw2zJM3rN8y0w02zaZh9uWm9YvEKZT79seXxj79V3sPHTdk+p7Ni70qbdX0MIDkEgAkt1OuIfWY6sYIOer/8AON9xX0AGYFxFQtFUKO2PL4x67vYeOm9usnAX24Peiw6wRdWDEsV+kXpXZ9YIurUxXV+JbY3uepl3Q1GFGHDAm2bZjgRM46R+KYgWARa+8PL4x9+q72Hjpuw3AnA1GpzCxPFbGWafU7uDsEW/UloxJ4paymi/mBrO6a1hpENTTYw4YE2zbMTHHGYFxFUtFUL3x5fGPv1Xew8dN7df/uay2e56FO1tPZvTV25PAe02kyqsVwevwcCGtYaYamm0jhgQKJj7Vr+CPL4xznqu9h46b26195e2T0maZ9ot8uG4B+BmhbgswJy1myYYTMHewDOWs2L8MeXxj79TjKogxpx/H1rG8bffpMq/HZ+Thjo0PvB5dJUGYYTdiAg/oB5fGPv1N4pKPw9a+81KbT1aWvIuGG6tEuBF7JUGZK/PHl8Y+/U3iko/F1/+5qqsgjaeitNxpTYmrpnseimssyLsU+gX2/UDy+MetvFJR+LifasPt3uILFMbjfpo1REwYFYyukk007OBGRfpoa2EwYFYyqgsaqhWI36oeXxj1t4pKPxcGcLMO0VQoln3FRhU4tWrT6dINPXFUKOhqkafTJBRWIBjiPVv1I8vjH36m8UlH4oWLFUCwuqzmR2xETaI3p8BjAMdAsQmK6vCQBNQz791lVyu9hstdUrNgfT2b6tO5deu02HU77EtrFj1ubDqFd67U514Vntmn5rdwe/xj79TeKSj8LkscrWMO0VAssXdWi46PE91jgAdF6u6HSU7GW9kbTLG514mpTmWrSiFsGAW10ogN+n06crSLsrljOJsuMFrVlrq1CNvWWV8zWcpUrr5AqZtupAN19TmhKEbOmBCdseXxj79TeKSo7dOm4xUC9g+o8e4TiAfFIzFqrU/FHl8Y9beKmDJ06qFHa24gbs5zAuO4zKoWxGgII3LAQR2DfUG3Lu4swVeBYAswUdAYN1Dy+MewVzFX17mJtImWm8TcJuE3T7jNvaBB4Z4a3GG/kdGFBbCUaR16hq6+ZNQSKKq6/p2X+c3PWqWWCZu2O1la/yW2XO0V2ea38BZ6LM2LX/K03vc2kznpHl8Y+/6VkDjY+OSAprZzygDLa+Zwuo5rcrNxq/m6RpALuH02AKVDnTqYKTOSNj0B4+n3MdP6rpwsuqFqLRhhpgIKQFOn9KaRV1D3+Mff+mDy+Mff+mDy+MZkTImRNwmRNwmRMibhMibhMiZHdyJmZEyJkTImZkTImRMiZEzMibhMiZEyJuEyJuEyJkTImRNwmRMibhMiZEyJmZEyJkTImRMibhMiZEyJkTIm4TImRMiZE3CDy/R4mcdv3/rXt2MwD+uePV6mAY/r2IDngTMfqufXzP1rMqw31CDVUmfUVxXRukiepmOJtrEWxH/AE7orjkMk+oauI6uP1S/dw2qZsIhwxDMkVgwnOfeLXwbX28597MFBBeAAQjMrbcnb/yGssW7/Hat7Wmmv+no+tZbE1ZM+ubl2anDJqlNWs1D26Wy+xW+s/4n1p3W6lud9WPp6tSxs4OcJ9bbNLqGt7LaZC2dRVE1Fbn9O3jX+PiQGHqhP2GHz4Dz8jxo8O3rdBz30Wi+nM+nu+ktrY6562Fqc5tDbpSrppi2muGot0l9dh1C0W/Q6it2oK26fVX1X36bT0/z8Lrqws0bqhUhh2XrSwciyufUOkSxLB+kbxr/AB9DLvUHfQtybC9RjFNlY3qfPoo/F8BlDrVWtVfb1FAuV1KNp9OSVGB0NUd2b1nOIn1FcFtZm5ZkTIj6epzy7km/UCVszL+ir9B00eFX4pqAOVSH5Y+wcbPAeg+dZSthVQo7GBDUhnIqn09U+nqn09c+nrn09cRAg/RP9tnRYCa8Baw4A3S9gaqCOXDXAfWeVv8AVL/xfdXB6jhZ7f8A3MMcfx1jCe0BzGAYE8uVrgf1R13cDX6ru4WccRh9qZ2g54n1AOw/1kjIII4v4p4kQes9jCARWSD/AFlvHp9j6ELwsXIVty/pCwXsF1ERi36s+w6vEniPss/SH7rc8ucxJzMz+Qza02TlLAqiJ5/q2HWIPeOu5a23L2bbVpSn/I1W2TU6g1MmouW59Rc91OoLKNTqbBRcLaVsR+1fetIRg69K/mmB11+f6U9ZXjqLuUBZc7ae9i7T1B4eFvZ/ylbWaemp7bJceX/lG1CC50ou1CPY9ejurGi1V3N0QTSpf2NRcKVd2sbT3mlkYOvQrW7t9033TfdN10zfP5p/NP55p92P0p7OJrs87TWiqwtztWp3oIvB13LW25ezgcLK0tWrT1Uy3T1XGupKlbR6d3KKUq01NR7DorR/PSjNiIE6avbqLqIXLRV2r+vvpFyfS3SrTOkXaqmD34eFvHnJFcN8d9I+6ihks6afxswWb2M/lm2ycucpIEUfqGztVty9zaOh13LW25GsAOwvPb56sFqVf17fY3wWU81VVA1irOaItgY/NCKD+wI5fwbRlBvtVVVBvSc6uKQw/pxBSAhh36+TP4YGrE5tcDKf6g1frvx1syrOYTAzb+izMChRx2Ln5hsQDes5lc5iTeuN6zes3rOYk3rn9URmcsrN7LFdG4czM2O0WtFm42TxPFnCxF9f0B9Qf8bRP9dp5/rdPP8AW6ef67T4/wBdp5/rtPP9dp8f67TyvQ012frWRWgpWxuUYwZRsutDm1YldqA81rf5ZtsMVAvav/yKVWae9b67X5VS36xq9Xq3pTUakih7tS2rp1F31Pa1OoFK6bUC5f3jgsoGA7BFVS5sfYK028KfUdzU0WVXf4yl6qr220sNMKbGNk1CtQ5q5v8AktFivU9m+w1pYWZ13BtPdzV6NwEyJuE3CbhnMzCwA3DIP692CKiFmdwgRDmXn7AMDv8A01O5q0YvWjwVoHatGbtav/s0/lQAL0PehUahN5uGFvTBvTnfUpBqK419ePqEMS8Pb+tZgqopdpUN54D77/n3aQWOuj2sPbifZtOQPpjuNGINKSPpfvOlxBpCY2lIH0pzRSy3frSoLS/w4O2xKV21/puVAgyawQEnLGdsCgQoNuz12ev6+3z4WDc39gbz/on/xAAqEQABAwMCBQQDAQEAAAAAAAABAAIRAxASMUAEICFQUSIwMkETcHFCYf/aAAgBAwEBPwH9bSpU9u6WkfVgJQtO0lSpUqVOxAsZhBdIUBfxdRtYULFQo5p9uefIBEdJ242RKa0uUKFoiXOMqCgOlpQG2HPBUXgqOYhYrFRzBu3HM52ARcTqg8jRA5CU92H9RJKa8jRTPswsVgsUG7gcpVb5XoawqvyN6P32VqPIVWbPqvSGIlVW/wCr024jsrUbTiEIdaUabCgxotKNNhQa1vZmqJNhiifrZzu2r4jvM3n3KeHXP9ykbbhaQcDkFXbi8xvDaFGyo8QafQ6KpULzJvn5Ut8L0KGeVDPKOP1sgb4rFEdw1ue3t5DtMViVH/VAXSNvNpR2FDh/ydToqtI0zd2vIND2rharWE5LiHhz5F3fJYqB5XpRPbi7x+kuHofkMlcRRwPS8KFFo7Vw1RtN0uXEVG1HSL4UY1RZRjVYUPKwoTqiyjBg9uzKyKyKkrI97//EACsRAAEDAwMDAwQDAQAAAAAAAAEAAhEQEjEDIUAgQVAEE2EwUXBxIiMzYP/aAAgBAgEBPwH8bQoUeLiu9INJpCjiWq1Wq1WqOCaRTup48lXFO1CEHEhXHggL9KAv2tq2lCh4uplNxwWhEwhUABbI/ahCJhHi6mU3HVeEHg1vCDgeoOV6vCkdTnwiZ42plNx0tb7hjsmsDcJ2m12UQWOtKYz3D8INAwn6bXZQbGfoyryvcXuBF88jUym46fTf519Xs0FaA/rFfUdj4XUym46dB1v8DXWN7rfsvTv2sPauo69+3bwuplNx0ubKGpqt+UX6jvhAAYTmyhqao+UXajsoCPC6mU3HBHTaoQ6DxdTKb/wMlSUFKmpntSaTSd1IUo/lwcZ7vsmmRziSAgSRwnMlARWFut6b8MityJ2TTt5CIRwhhA+Pd0A+PihCHAc6E101HPH13iUwVH5Ee6E10+ReJTBFZcrnK5ylyl3joUVjzf8A/8QAOxAAAQMBBAgFAQgBBQADAAAAAQACESEDEBIxICIwMkFRYXETQFCBkUIEIzNSYHKhsWIUgpKiwUPh8P/aAAgBAQAGPwLZhDRHS89dA9Ueuget46aI6XnrcOl566J6qUNEdLz1uHS89bxcet46aA6aPa89b+nlx+jTTy4/RpofLinkpK/ECDnOAByQAtBVYXPAKljgVD3wVja4Fq/ECNoHao4qHPgqbNwKwm0CxucA3msLHiUAeK/ECbDhrZdUXOMAIFzoDsvSDXy4z8k/smN8C0dT8q+zgtk491AH7M4dZC+0eyYWUxtMrxTVzzJKZh/+RpxBfZ/dMsh9bo9lbAsc6Y3RKdaBhsm4MPdeHafZ8TBxZxVl4BxBtQHcVZ+PZOsnA0PD5TuVm2PcpjfBtHU4NzXiRDmOxhvIclZWQydrHsnMe9rQxsCeaaeIofRzX28uPJEcwmMOYCszZkSwzVCfCj3Vo+zwQ/mvFtnAuyEZBHwMJYTOF3BeLbEF+QjIKyfwZKDzutbRWtocnRCLTxWBps3Dg4pgs3RaMrPNBtrgaya4eKfO84kprDmFCJcZphb2WvBcTJTyIwPrHX0c5eXFbnRuiiOF8BAvtJbyQ8Mhq/FCMZ8F+KEfFOJTZvhqBc8EcV92cJX4iBdWM9lLTIvDSanLRJOQQcMj5GVndl5g08uLrX920d32Rex4AbNIzViTuWjf5TsEaz8Df/VZY3h1DBhf6i1c3DG6AvGe4OH1NjJPNm8Na0xlMpmJzWvcSMRyCfZeI21lhOIKz/aNrRSb/fRpCNbsvJmnlxS61/dtHd9k6ykSZTRP3jYw91Zhp12Vk8020tMADQaBCwfyiiFlaYMHEjirXwrSzA4h30pj2kYmuJE8U7FgbLSAAmtPAbfmq07p0c78LStwnqVuj5R4aeW2Oflxnda/u2ju+zDi0EjI6MvY0nqPJ9FlHZbxUSa9VQRoc0YaVy0eu1Nfby4rda/u2h77TEPpr5QHkVBXbQPe6sBTX4QgFcflVmFhOf8AayvpcNocvLivm8E7pjagadKIVBC4e6yHyqt2EFboXJOb+U/N42hp5cadVmqHQrsjwRnislkmmKGi/lGCjiy2RPtp0uzVCs1rNBUEEFUcuaqLs1VUuceu3NPLimmLvbaUp10jGeYQcON5w0KrTTgZlRpV023UVTKq1ThWIKjp7qrbs9sc/LjTF3ts5PxsHM5GRoVUHRkqTo6uhmFnfqiVXPRbfGcXwCnbQ19vLiumO93tspMRw2LH/wC06MKD7aHTRxD4v1AtYqgu1dVawoOS/wDpUB+Fu/JW8Phb7lR7kNYHuqs+FUwpOZv6I7Q1HlxXTHe722MA99kWoHR68LqquXLSxChVQNORp+92H3OjTaGg8uNMd7vbYVVb4mT0W7/K3fgqh0XgVBrRbo+VULVN/BSdhmslXS5FV0T30KLW2xp5cU0x3u9tgBN0lQMtDmocfe6Sv/FJ0K5qG/O1yVDdl5s5+XGmO9w7bDhdh4DNTo9FXMLoMtGgWs6qpVZHyOSobsr8lQLW8ia+XEaYuH7dgaXd66c9NCOehFxoslkqFcCq02+Sy8oa+XGwb1amnpsDTiih20/dHTFzs9Oh+VrBU9AOXlxplM/Ym7B13Y6cdFOnPtcazsq1HnzT38uK6ZTP2IbDjW7EPfSldeKxcD/Cg6I/hAXV9JOflxplM/Yho0flzWsz4WanlfqCRyVFkVkufQKTn/V0FUqP6VKrIrJc11upHpRr5caZTP2IX9eSrqhUuwASf6UKOV+sFxXEqgjRq1cVlKpfNOnpRr5cU0ymfsQuw2fuV15qpQ1TB4qG7xXW7FWnDyEDNU0IDgT3u1XA9lJyusmsdhxFWbS/GH9MkYtgx07kJmKGF2buSGuLRh48lLjWSnEmdYjYCzbaYRhnJGzc7FqYpjJNd/qcxyCbZC0wjBMwvDtHYgRIK8Rtpgad0QizHgew1jisTrWYcREbQ5eXGemUz9iCwN9ysI+AtY4RyCoEQM1Lt46HQ8eW3roYWGJzPRYQyOozXgOEyfxOixWP3bxyQsn2eATrnndYiDE1UtGtzKj7RYYnjiG5pmJuMfU3imusWFgG9SJX3lmMUnNOERrGl0WbJVbWOwWG39nBSXhB0ETzuEgxgzCfgbUhNx2DsUV1E20wOw4Io1B+EtY0QJ4oWT2OOHItEyn2jxBecuSdI+s7Q09/LiumUz9iBUNzO8VTYVXTadVJz8rVS1gB7eWOflxplM/amsGZUDZ6vuq02Orz2suIC1XtPupCNRTNSNjh8RsoNmp0JOV4BOeSlxjRMHLPSNfLjYydtQqo43GuVwgGqGQVa7Kh0LOROuKKz8KyLSHSXFsK2ad1uuE1toYNs6XJ9k0ghhp20sP83PLc4TWgDCQrFtk6BhNU9hdiIeGgwnfiEYTVzYhWT/F34BEK1bjmG4gSnhtpgDP5KAFo6YysxKsceYtCFTPEE0OeXhwKZbOtJmJbwVs7xSMBMUTGh2HUxGFbSZOPPSNfLino2siBafKGCjhxX3hpyClur2uZWMLpuaZiM+oXiGtIATbRtIEHrpYuE5X4W2rwz8qa4UwiAE+SdYz2RxWr3SIqrNs7hT5J1hCJD3NnejipY9zKRRMhx1TKwGfZYnOLzEVQ13Frcmq0E75lNwuLXNESE6pOIzXSOXlxn+jTT38uP0aaeXCPTRPS8dbj0256aPbZdtE9L+9x6Xjro99l3u7XjrefRa/Oz6fqOTn+nKZctLkqfp6Rf1VfSsBdDuvp2sQFV4VHyqkj2Wq4HS5aFXt+VquB9Hh7QQvuLQj/ABdUL7+zLf8AJtQpY4Eel4zmbqtBWo72Kh7Yd/8AuK/MP5Ui7hCMwvplDdhSVr/CoIXXmgdp4VmcMZo2doZ4g3PfGL7yFgfYOGLd6q1D7PC+zExKFr4B8PiZTW2LPEcRPsnucMJs95ql1kWNJ1TKDLOxL6Z8E62w1aYITC6xIs30BRsrGzxuGfReKWEGYw9ULO2s/Dc7Kud5I5L6UcWxxNljubaKoFq3pQqJh3J1D6QU3toQUAajgVjHvcbx3WI+w0Pc7TxLNwDuMoucZfc5vhmfFmFYuDdVoqV9qfGqWUKFiLInFk4ZJhwOtG4cOqaq2Hh+GX5CU2y/07hhzWtZvtLONUAq1Z4ZBL6BWDWtMgtlWlo2zNo205cEDaDXDpwjkmu/07mBvFxvc0urFxxOAUjZQ9oK+4taflfUL7+yLf8AJtQpY4H0UpvbRLTxVc4IPdCXCYWZ+FLTKlYRwz0R1r5EtORQY3IbTk5YXCqk/GliY8grJrlr2bgs4W+FmFndMQ7mKLUt5H+YVbJjuzlrMwn0PDyppOPAucU3tdMKWu9itcR10D1p6AHEawyVNluBbgW6sv5WX8rj8rj8qG+h4uDtEhpgnisDDwhANBW6jzQulmr/AEocINzRyqf0q5V1hzUjThQqXQVrVHAqTmc/0qOhm6W6pWsLgbqXZm+RdBWE7vA/pv8A90aZ3dDdBWB2Yy6/qCRdBulu8MlI9FqdhmjIiPUumhHB39+igHgFB3efJbwWq0lfSF+IVvuVZPcqgT+/pkjThEXQp48dkXvNFggtnKbm2dm3FaOyCFn9osoxZFqfZ/Z2NODMuT/GZ4bmZo2llYjw+uZQtIw91qOB7HZa3wsTTTSddlpv7+m0VboGZWqTPReFa7ynkpv6P/vZDBXCZKDWCt1m99GlsSmWYqXcuCtIc+ytW/yvtNhj8TC2jk3WAwiqDm4g1zoPZWeAw/hh47HrwCxOzXNpzCxNNNF8WU1/Mvwf+y/B/wCy/CH/ACX4Y/5LdZ8r6F9Czs04viSeHp9E2eSlwQc2nJAqFFxCrnx2mG0aCF92yFNoySsNm2AsRsxKwFow8lNmwA7GoTu6hauie+nVwUMHugPUIyPArdB91icfhYQpCm/o/wDvQoZ7CVSfceXKk6dStVnyvpC3/gKr3LKe6o0ekHDmp2uWhCnjxUCruQX3mX5QqefCxO3v69PxDdOfkoDoa/lzUNCia8gt1/8AxUQ73HnpAr6jI3f68jTMVCBJwtPAKlFvD5W+FIy/R8tq3kpHkHSZ1ivw/wDovwyP9qzjutVwP6QxNOEqLQYf609YgLUYT3oodB6N4aIaDVygCmhOET52rx8reHyt9vyt4fKnEFvBbw+VvD5W+35UYh6Z926OnBa7D3FVquF33bcXXgtZ8dGqQPdRZ0b+ZBlmK8dCMzyWJ28f49C+r5Q3vlfV8r6vlRB+Vkflbp+Vk75WR+U17cUjr6drNBR3hZjhOapavUm2+QqvAZ+3NBrXMLjkMK32ddVASzVqvoVXAdlTZYGtxRmsbE55+kLxQLNzfyjNWTmt3swVZ2llGu4J9lY4NXmvAt2tkiQW7P8AyOS5O4j10gGFAUuWK09mrmTkOaxOq853F/5jtXAtNTQpxfTFwTnYMdMkbawtTZv/ACyvsReKk1TbD6MeJpVsMbmUzanMtvxuDicxstVpJRL80CzNawhwz0c7s7ovlR6hJWO0z4Dkv6HNY3739XYRm6igeQxeE2eyaS0S3JDG0GMkXhuscyg4tEjI7NyCGjR31LOkrMUTdYLepzQ1k3WUYuBRJKaBz9OkrxLT/aOV3iu/29BeTwZT39AxSaqZ0t4ZwoxLPgm1zWHF7reQ181IdwlRiCY48/TgTwuw/mMXl3JCc8z6TCHRAr3ujopQ6H1Cy/dexvCZP6hZ3/Qv/8QAKxABAAICAQIFAwQDAQAAAAAAAQARITFBUWEQIDBxgUCRoVCxwfBg0eHx/9oACAEBAAE/IfT2yrMpycd5Xq7vcQiN53K2tuSoEreCoA5dEpVW7vcS3vMS8sKlbHOCoEreJgDO73K9XyiXlFaPQqBK3jvKY3huU6urMS3vJUrd9qgDl0ZlfzcpneW9yqrbkrcpd5gHLozKVzu4hHeW5TqwqVs3gqAOXRKY3u5XO8txDywplbvOqgSt4lKDOG5XO8txLyivcqoE5Ylcbw3KUmctxLe8yt32qAOXRK43huUpM5bleT8pXvqpS9uiUoy4b3KvXdxDu9WZW7zqoERzgqAAW4b3K53lvcQm3VK5Z1UCVlx3ncciUpy5b3Et7z3lbXNpUCcsK3Klbx3lKrO73Et7z3iW95K3K2bwrcABvGdynfd7lHl8pXv95WxzjvCpPh1+n3yN/wCGjPhYZ6/T74G/8N6MwZ4fp+8Z+30SEwBBJ74ZusdAVQRCc7JT29mU7dDbGoxtOJo5oDJuuK76LqJApunUywzHb7z38AxLgXTqK/TevjwIIIrdY31ksD4gE8/pHVnWOn0/3jj6L87+0xUVMXGUmtoHW8Q8CuVghG45/bB0KAnNRDnZHvqVFooGmuZrJ/5hMArQfJ/aBlveFiNcuwpXWo8Pyt3yIqkng+1nyBT3Sks/+kftMRJTaRXqx/eH2RWb+35lpHFZ/wCpZrf3g/R1jq69n0/Wpn7/AESF7QlBbSaiQ3teDIZs1C+3Ri/BLCs6NSA/PwL9oVtJRownpufJKOLB7ncegpHwg2YDWIfICrAh3mTEIek7sl+QBFlr+0wl/wCM/EV8RzUBFkcMAYj2JliF89cs/Duj1F/V2yYYrr9Pa6A9+fC8YrkPMdh4z+kopGxzGqYb7+AIljXLvP6n/INWlwkdhqwMNSXDrAhlPuR6X7zoSDP0qHuoeIDC9HWvK5dBaxEbCx9ZBuKdYjMTqljSgXRh1/ZDq17wDpPphnqXWev09tA+/h/c7EIQ8zGM/Bei6llssfE8swgPstowsQOmq2hKS6y6mSi9N35hjDqNKdmUk/BzYVz3OAl2qiDVY0z+s6esFh8Bn41+/kaC1qDvL2Zg7oqB9GHX9sOrUA6R+h6sYM9fpzexn7eH9zsQhDzMYz8N6TFos+M3Dgv3IShYeuh5Qr6oKu5kDrMN0MLzZO3EqlgvFtW+8WwqTgrD5PV7ysevWY16YbRfZ49DHvuJc4ArW/jsCNtXUDYTG+EFoJZefDWZk3rmId3obgTLXa4H0YdUaR9Wm+2N6+nr7rjw/qdiEIeVjGM/Cenv7GGvKHKubIFFHqUYJvfgoba8FAti546Oso1+BP6WE5r1aEwADx4kGy7zA1Y/mFy3uamKv4bgNDyYbuFQ9fUWPPXs+nfRZ+/h/c7EIQ8rGMZ+G9SxkWoQCafXVe6D4nsrGGKUn5jrvAuPhcG080+CU4Fm+XyTfT5Qar47T+9Ipc3emDiK9WvdO9y3lPiDYcdYGH3xzPwvUtspj3+ndYBbzz4NVnzK9KolW69OhyS/FjZDKjQ7nH4l+o4Tpb4avfwuXLj1nsjKaB4ZkY+5F4fFFiByu9S3a/LAcVMwOr45M7R0ZKCf8wg2bXZiq+EC+71wM9DWev09rpXz4sWYneJ3id4lIVuDF6+0L21zvE7xO8QjeXok2/iOIV0O4nIU4TItLSmBVQxglLlPxdn8z4c6PMS6tvPEc4UOesv0fwN8eYUC1ol+NesuEMvaZ7p7E6jBc4tKAjgKieP3lNI0lMTmxMGCOS9WVBwPzNswjS37Y9fGexrPX6c9Rn7ef8n+J+1NT2+moLWiLcYMV1RRQy78vGH9wzA1gX47Cs5m2mDWefOgHQCEAaPDd4k5y9Ixax0mXsTnGjwYke8qKbupXrftmBDc7rB/xol/JK6HaZKewylo9BmXi11j3hJbxDWHhs9/Ur12N6+Pp+lXPHn/ADf4n7U0Pb6S0REWhW/of+DB/wC35KCl03ERnW26x5QbQS6u546EPDb7TDLOD7p7+D0m3D5nZwpLJUbY/gTKaqhMQrwV+14KXz1IS4jJuFArHaVLCqHg0OO/qKzzqvZ9P1gz9/P/AGu0/amj2+itFsC2QG2ej2Bf3Nfnygi0xo6q2vfioLWiZJ00QhCZKPgnPR4ppb3TEE7XsYJpg+J7yt3k7Qu3qV0zvJ8pR2Yt1SFuw9ovz+D/AFP9qp/iUpyNJVs+dysdDhKYWnYW+NTOOjrMQ7eovgMGz6d1gGfv5/7XbwtD2+iscxpAoo9HusSy91n358thYFeU5g71L0ozeHCCEIeAoV5qhdg9TEWcSnyqQ7vZAFj5q26eAh7hANK3EVELJyztB1lA9QHgMZ5fp7XSvnz/ANLtN3tNHt9AEdCByVrz4p/AQBx95m2+wZ1f6O/ItblkTK8L5iDDsE9m4ZYvjcAIS6N3FbG39vAhCHgY6Thhn+mROidqJi4slS1se5ODHvx4nhl2R4AFrnLHcuCUYE5/s9YZ8dZ6/TnqM/bz/wBrtN3tND2+gsiBeHk8ARKCLsnENs37R0JUqIF4H3IFbl6/28Fj0EYrjj/aL2alSoKbccm4VS93WXRHkIQ8qDsif9JyAgtIx2HE6nhJi4slvC8VBaEPJyxTGusMxvr69Pjb19P0rvjz/wBLtN/tPwPoFq4B8+FGPU7ngitjbK8KiTPctzEK/wA8twclDvyzbbKxM+4x4CaZe0NsrcXgjr+1Kf8AhLOcQR0ngQh6SmwYvo9oH+2A1THaUoeItsluE4fYl+fsgAUfQLnusdPp9y5z5/zf4n7c/AegM6TO+sdTN9TB5j5XM+04ehDwRsr8NoYaglo9Rfhg5jPMW2GPYe2J3vzmdJ+CY6vuIh0j6zuBjEFxKrX0Sw0arHT6fpVzxx5za+MkeKbVzzBOZh6BpzHdPwPBjyPgHhghENWa1GMYX4nwr7jnzZas9TE6x7RfZO5kgFof0C2Qpik39P1jvjz/AIU/feiLZr3z4MvsfEPKxLnXfuxQXs+8PIxlt0B4HdjZ9vRUvT1J+6hsgiWa+uBfjde76d9Bn7+f8CfvvRetcHx4YqvFHtHqfhly5cuMKLBwdWYZ3zGRHe7ojzEuX4LH6rzhDF4iEXAS9bC9v0n8FvX09rpXz5/wJr73lYtEZd7SILnJnvnG6KPRwzGrvs58bBf2D7RJ27cxHf2poHKUloGSnprXgBgsdkpLDx1uOiHaU7+xNApp38J1A9vhaqyPWGCv0lldnWOn0+2A58/4U/deR45ytDc5btG5Qh4Vqy7YEzdBUW2q7KeOrV6x46/MFv5GUQh28rdlfUxOg/fNovcwBQA8chCDb9KToPbp9P3jP28/40/dePe8Hsk1OVtbZ1g6RY4TVbEeubQQustvXwvT4DmGT1+RL8MAUKPJ2H4QtFsKsnuuIlAbWDZZCZrhaHibR4UgcN4j6MQIY95nslNkkgq2tCo1DaX5mDkJ7D6CuuODbcCtzDA+6NVCSmqJjyIFrcIiap042MXQjBbOrLKVNWJ0OZlrDFOafUtq+G/p/vHHn/Gn7rwth6/ESsG3jZP90D7z9yI27DHvH52x8h3rlU+sG5/Ebat4x5N7/XMcqiQBmsQ+ZZMKEO/94ZEoUOj7nMKIyLLB294FFEtBC1HGJx2Kut/My2aFo9rxCmgvkBx71LoVXa+yoy1pZTO49rOPsvwSAN5Wgm+T6THiU9k+/SYGvvuVJ0AU+Gs2siZvrOWAt2sItMDLubMe4abjJU6NKe0TnYVIQufN2DUuELXPv6gz46930/aM/fz/AI8/dQ0dBKHcuj2hPU7Xb6AEBYxVq2pKA16hquWiNfMNdPpQFATvO6BD6Z0PDevp7XRD38/48qH1cpiiV8XAIY9OyLUXfdBapZwD6C1L6tUbhdze31KU3qsXpDoRYkTqT+bWoCQR0no2wGm4kg7A6+RE9DfjVgXXdKOB1fK8CV12PmRXbjHT6ffAc8+hV6JpiFi31ULaahQHq7bzco+FjpKBWwGtRPLudpnq+LhbIHKYsMmTeIH2Gy+PQUNu/C2oa3TFAtYB0j4IPTLqXcBU9YBOZ/GeD/2UE3y9Nv4xLmfZG8vMim6uujw0e2kuBBvvL2o4+WsR/G0FSXqVEb5vB0gZ2rQFF9JfOyELMxcWiFHBeYp3hbL3vpE7ltCU4GX6WD73EBoZDCFweS3CMHpLMq2IKxBFTRtlYQdQ76sHmWGrrHT6fvGft9VR0lemUBda7SuwDpGSNw8Xr94D0fmZndXPB8LHAPf4HvZj81StqUxGplguBWnmrRa2PAllMLDFwTHa5hdOTVTcwdzaNVDGYGjE3fRJ3qPoSb7BCqT1bBVpBeOQh4SPnysRqCxuC0uHSRIqK2cEIrzLtcDSz8xCaNsvV5rZsOPp/vHH+GjLU17vp+srP3/w3qxrPD9PjtzEsnumar4uDVTssmAb3gne5qIZPdMlXmrg1U7LJbt2TFd81EBL3TNV5q4NVOyz1UsnulLq+Ll1Z3kmIb3qd7molee6UtLyFy6s7LmrO9TFd81Ert1uJXnRbKWF7zBqp3qYLvmolee6VXnRbLkL2WQSqd6mK75qUbd0zJesy5C9lwYEeyd7mohk90zJei5mM7Lgm3ZO9zUSu3W5mS9ZZS6vi4NWeyYrvmpuzrcSvOsszBey4NVO9Tubam7OtxK7dZZmq81cGrPZO9zUwue6JXbotmar4uDYPZO9zUQFvWGU2rrH6I2OkNH3ufSWi5m/CMdf8ZQdzKzbb9vQcqpzNHBq/wDHK9iaTfkWtzJjAeeYAoV/jyh5XdwNPCjBnombeXbp+lUIxcYX7fpwtid2AWM94nRrtMle4Mn42Hy2I8k4kMMowB44kjDFPdn6AR15rr6Hs+JJvi/0Ok0jP6HSdzxD+l1x7z28Hglr3onLzv2Sk6YvfxHNPf0/3LO2eFTHG6rM5Q8Y1Kau6piXkUWKn92MyDx0uD/cFovYQ+wa5Eu3bv1GyxuNrL62oHUdZhxX2iAgGN5gvKUyXBSUsfxo6Li40EP/AN62QKGTyojIoqaHzKoNwXm5Sq0S5+0EjLedEV81XvsiEQXuPEm6CZ2/slQrd4r0fe2/+mfdG/Y6nx6r9IHT9BmHsIQ8Kw2MbLVwmzsx/i/UnEDpdwGIyxFbx58Xfyf1u/qJaBpoyqdisaCOobA9Dio2xR2Inme7MRVXecYXzH6SUUBOYM8BdZx1hRRSyma6TVsMODzcFn2bcYimSw6UTILDLKgxcG1ey+ssFZFvt9vEDJcV4PRN3mCXsdelXm9ycoP6B3NWMVcb2f0U2fUZl7CEPE9IEdn9mGIHTjHMUtD5QaLXgYA63OZxt/jyaLgq/wD9M/Q6j2mWB8V+pjFBpiSgITPOxce8w129fK1J3GycovZqftGLgu/mJpPuwbX3p2n3ncJdp63aH21Wfkn8cL946WJqlH9DyeTYPITLik9rhCs4+DkheM1K2n2LI2pktu4sMlmvHSN4PnEAAaPryscqVr5PX0VNgzZfZi0P7Fne/dO6+6dj7k7EM2K3l/QzX2T2eIeQtRKtxHVgo7EQiAqX/wDUENYYhiWs+Fbbbpy+J9lPh9mVE6L/AKx/iqrFalB3ZQA0/me8QCCPJ4E0+86OkBFoNsG0AI1Kf4eIQ78kpDZFO/8AUGM+3v8AxVUyqj7PALPb00+5NwRXI4fAfsQKltx734Zm/uSkaYH+kbHm/eDZZzAIFjxGJbWzjs/4q68oUMxLnsgVjw2zTE3oiBZBx/8AB8GQWO4oa9jo/wAa3eZGgvqT3QxPcPz4IHWf9IRan9FIsg9Dei+huMbhX6M78otHUmR5uTlvtA7NkGwTnw+7Z2/RRBVitQW68f2Jjlb7s0Tvflmf9gIO8v8AMy38gZrc+J/S7fozvzUv3CCOTy1MW/xMfkeF3anh6Mo0VoOj6VVIwIlYLR8Pti+Q9XcROSlJzL2Mm+q6kftGrQsQts4S4w+8npDnJdDcH2F5sl6AeHaef+n2/TVjeDLpoU+FbCpF/ojQHi9YMU3lNjp/Hjydp7ekWA4AdIxzLfSGoeggWrzHy+d+UuRDKNe6JynBc9ouOBFdQyw22KHmKC0rn0ba5cGK2vD6B9heUyAGX9pnafb4F/tv9QTi+c/vmf3zK/4GWNJPZ+nEszLm/wAMFgVcomIlY4lbWzUPqB3MF48RbXHgDuL56SrcDgd/SA0B4e/Ao+oJ52yuAOdMqw7UuHLL3luClYYiNo536Ol161BQd0G8bh9Cjy7XV+ayaYfMAtN8zBCJ4/RnXpXA0Z6ETa90SzQH5pCJaDh3C1yEC21rx0vafIbKSvW/ZLmhrqH09ysbbh7V5tb1X94PdU5TXVVMuPySzZIWdj5qdT5FzQD4/SPxBCI/J09TDuLxo8bu1PD0ZTLGg6MrUyt5/gfPWAChR9fzs8BzHvev08FivR6d4IljY/QhvN7lT/n7TGB/MWtboLZ/7iUAXun11Np1fqNmjvIwlmvoFd/nhMQsvl+8oxP5RLZwj/CwS9r/AA9WjqdPtLw2fQWAZAVa89IHG/y/1NBBOUexU/Hg/wCIfIT0fchfkOvL584t+6M/JLB+Zn5uh9y+VLHJvocwiYHHkw8Rpr623BIp3F/5SbOOBwK3Tc/9XwdhuLJUAtCvS/0sBSWM/eFmOJPhf7m1D0vMcFsu6T7H3ToJ7H5mBN9WX7y3Z1P9YJem1nR1fJzBdHbFFnwdh0/QRYPMW4piDcFW+qZnh04TZjL7J1pvcf8Ar5/6ua2SquV6jpRPef05+XIjYaADpdZTofZ/iLaAbRh2aA5e+dTQAfO5hiK2lZfvDdyl8PsfzK6fuZw/7c/mF45dvL6TxLwV0QP7COxhhrLKhTfHSSkYZhz7RVKAz0mEaBxgPTJAxPOpKc4f10tKHF9IRlQFEWNQfmDzoM9Pu94J40g2o9l5L+Dt4Z31j249VwQRA3DLbbFOLjLrlIOWDn0qdLbOuokS6ey6RCGBRK4IR57w9KtSPQEshvu41lDqo9PBnlvUwMXcF4QSs7jRtDCMIOguZnQXLF/T1j4/eBC/r/eXtyuA2pqVf2HQ8E6pr/P4gBoCj6C35FCFiW+k2od24gNDD1Iv5xmT0wFPb9vD0gceRwSo5uziFd71NTDGIfMBeTn4lbhnf2ThYZ4l4J5t6QW5eolrEoBiOtvL7fpyJ6CBQqv+r3igW6J3O0/pvx7Eae7f4/QFpJ2ladIKB5BaJbrHRBaA0pFyzMrqagt+NTSMUvCKtXjXMMwXbiUAVZX2hlCZRpV/069J4nF+GVbVX+8CijwJDhFJv+6/o6Uy83BJ6tzphVQCCnSRKj0tKSuLl73iJsN2M3Tkf1DS/rD4tSv7B/3/ACH+x2/wX//aAAwDAQACAAMAAAAQAAAAAEwAQgggwQgAQQAwggwQwgwAQAgwgQQAQwAggwAQAAAAAAAAAAAUAAAAAAAAAMIMMEEIMIAAAAAAAAAAAAAAAAAAAAoAAAAAAAAAAAAAAAAAAAQEAkYUcUQ0QAAAAAEAAAAAAAAAAAAAoAAAAAAAAAAUEkoEAwQAAAAcAgAQgAAAAAEbuEnHIBAAAAAAAAoAAAAAAAAAAQEQAooUMAAAAwoQgoAAAAAJgWWdDEfFooAAAAAAoAAAAAAAAAAETLDzjDyAAAAAVEAAAAAAHyZI0EyoEjUzrAAAAAAAAAAAAAAAAEAByIaijAAAQghJxpAAAEDUrkezK/rWYSrAAAAAoAAAAAAAAAAQAAABLAAAECAAAUAQrAW9oKQ0gVyKoiRoDAAAAAgAAAAAAAAAAQAAAZDAAAKgGAAEOAAC5qCXn8yd9ahr+xAAAAAAoAAAAAAAAAAQAAAdBAAATUf+nzhZ6LXqbAQgTmHDUHoAAAAAAAoAAAAAAAAAAQAAAcpAAAYG0sS/AC8BgiSMIAAAAAQgAAAAAAAAIAAAAAAAAAAUAAA3DAAAir/DSz/ZQKAAAAAgAAAAAAAAAAAAAAgAAAAAAAAAAAAAA/iBd02gTmDg/wA4WwAAAAAAAAAAAAAAAAAAAKAAAAAAAAAAAAAAPrKUYEaQAAAAACoANeKCMlgwD1szFQAAAAAIAAAAAAAAAAFAAAINAQAAEagAABAgQAAAADgAAAIygBADAAAAACAAAAAAAAAAFAAAAwQAAAAAMyioAAAEgIABpQAL1hW/M6MxyAACAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAAAAAEEEEIIECAAAABBMAEIAEBAFAMAEIAMAEACEAIIEAAAAAAAAAAAAAAAAAAEACACOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABCAAEDIBAAAAAAABAABAAAAAAAAJDAAAAAAAAAAAAAAAAAAAAFGaS7KBEPAAAAAAMLMEOHIPAPygACMJACAAAAAAAAAAAAAAAAAAGYojNx+AIAAAAAAAAIAAAAAM2gAEFKGOZgAAAAAAAAAAAAAAAAK3jxAjCKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOMw1HtHQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAPNviGIYAAAAAAAAAAAAAAAAAALxig9QAAAAAAAAAAAAAAAAAAAfP5c0IlaAAAAMCAEOAAAAFLQALgQCCgAAAAAAAAAAAAAAAAAEAUfbJ6jgvABAAAEMEEAAAAB6wBCQirowAAAAAAAAAAAAAAAAAECDQdPHHAFVCCAAAAAAAAAAAAAEIQAAAAAAAAAAAAAAAAAAAAAAAMAQUIcQQZABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIBDFAHJCAMAAAAAAAAAAAAAAGGHPOAAAAAAAAAAAAAAAAAAAAAABLGOCMAAAAEIGIIAAAAD7AAATSSTQAAAAAAAAAAAAAAAAAAAAABLCFIAAAAAEAIIIAAAAISAFL1Fg7wAAAAAAAAAAAAAAAAAAAAAABIKAAAAAAAAAAAAAAAAAAAEA044wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/EACsRAQACAQEHAgcAAwAAAAAAAAEAETEhECBAQVBRYTCRcHGBobHh8MHR8f/aAAgBAwEBPxD4ZrGWy085SX0pYsuWRHM07xbxlxEBB3lsFz4Na3vlt6pW+4ly47pZsuQTVqsVUrWF2JQ6qdyLcMcGiUgGJuUgVuUGZblLZbL7yu267Gku3WK8pbyZbeIMI/Ixq8i/jYY4Y53cb+d1MRCiKecKc4nZbL0NYcxhqbgPKFnTBEXSGOGOdw012GaKNpJRBqKG4LHtiooiXBcOzLLqXZgBjhsY53HkQwebELUbtQ6/1lKjL7TVFieqaVh6FRDExi8EzxGMc7mUWuMJrfcRK3mCGYMTo8Qw7K6FhMncyuaAfWVAlq8uJr0wxJURVy/iGOiYTJgK0QCHP3gSqqONOUKTUNSanV/OKrbCmnKdwJrwW+YqtsdNOiYTUETSjQ/MVqlBSDUSt8K1fRWi55lQRxxWojSLlYqtu4NSu27QZi36YBjihrEVc7/lLJZPD1C8mNPjJQECJXCvHyrhiFHFXZHaBcQPBHZtwcFVAZfn2P8Au59X2nke37nke37gBqfb98Fp0xY6tQEpekW+nCwabg8kojmDn097GMFcJqCszxypkTyyrK4YagWLUL8CZf8ARK245bf8EteLF7X17g0Rktm0KgljKe8735T6pYUGnTg17vgkVjofeDctPxtt2lu0tKZbpSvFUM462Etr5/2I4X/amIXj+5Q57/X4l6sQ09unK84oVc8kCbueTrf/xAAnEQEAAgIBAwQCAwEBAAAAAAABABEhMRAgQEFQUWFxMHCRoeGx0f/aAAgBAgEBPxD9ZgTzKJWMWlelFoESU0Zme4xGyo0irqUiOzC2ffp9qfmNypUygQG4leJnKKmtkw6gVHfZhcD9EvHAq7666zfFuYjqCqpQRVNyy2PwSzcZae0SbdsaPzBfIpbCFs90uDcHoiLxHkBGuABmbdromjoeEWriVDyi1cww8BfLEIe8gkG8w4WiBRbuVA0iK3tzX0qtqG/n4gVGiE0ZYC/ZiNen9/5MSKgmETBX0PNy2DISPccDYHcmvo0QYPvcIzBdjAKfaI+IwA+a6/k5tl+g6vqaek0/cfUGLBMayfv2gHkf2JcWEBp/1/nour6mnhLbjjgDncwGPthmLUHxv+YbUBnpPMFpr+kxKo+P/YBo9F1/UVHhuB5fyUOpQyt5gjMVEM1AtqZabijLK3mFJiOj2jNu11fUFh1X+RE6VXcp7lLgV11M9TdYlniCZrEdNyjhiErnVA0zBu5ZKQSUo8FI7cftu1YmDfFMz2TCWlRfdeYQ4c1DF9kGRuGcc/CV7uGeBfnsvOQmi5aPeY1+nURLKitpumqVYfTxDm47S5ZLlsz2yXGsC4oXHnsNc3APOkrl2dxRw7lqz+d6URAzzpLlszA8vdV2ge/6SpUSpnm5fN+lKaIpp5qdQs1PhmPULiz06kpKJRKet//EACsQAQACAQMCBAcBAQEBAAAAAAEAESExQVFhcRCBkaEgMECxwdHwUGDx4f/aAAgBAQABPxD5dKV2pRvAOTU5d+YEV5u1/XSL5Rjl2/UUzzcadvWIIdAt2/iYI9QwDSfXXfpBAuQXPH/kUS2sU6GdPWAEbUM42/Uw1woZmsKHnruL5OQXs440mWOCnO3SAhW6GcVBiPDdr7zCLpRzv/MXBea/Q/UQa6oXt/MAN2yjO0DI05nG/MKwzjc3/mLhWhLqK/UWLVnAzpxrN4tVawSrhqy4rPMBBarXd7gQuAs7lfqKquwLOhnTjWAIOgF7RKjgrKBgGhv6v8xcDahZ3K/UyR5Bt09YAS4UF4qCVVWi2aqpVzq519Y1ZYCz2/UHC0FOZuD1GKggGhozr35nPyhnfP7i9rCWd8fqZC4ac6dpk3bdzaVcaGsvvAgXkDO7f7itylvO8WVlFNaO3EUVvLc2gKDgrKAAeqD19YmRcjr3/iDWGtI0YrHE3LgXgIMnKGdsfqDSmpyc686y8s6nlr+ukGVpzdKxxFFezuaEwHBotZ78wABgtTf+ZhN15a/rpByvLS/iKXeQaEwx0C178wJVy2ftzF1arflr+ukpq8uXtxFmuqVs/mBqOgFqr+IE27oVLef3FSrrytbuOUealjFY4i6t5FYUDA4qMqmO6Ata7rv2+nTiDq37f8bTQ7h6vt+fpwtaBle3b/jSXWMieTTtv5fTi9l1Xw1+iVACquwSvoh3bD7RD4VqmF4qB3oAcroaSuEKg2Xk2io3aW6u/EHqpdRo5oh5FVWwtviDordAj+oTXkV0VrMJlJDYJZtHoZWV5jaNwGs5Q9aVF4gDbQdJgCVjFJ0HWXHWDV3S3tiD1pu6NfaPNEsWA1phYAW9AmPXAlnT/IYmKCyMatMb/T0y9DKvPp9FbB/ajlT9lNvSPbFUsIgrjEG1wQHXhuVjPITQtS9FQinPWFQDwtqwdgGkFiKApMinO02HdMESAoVh+OnnAMQBwOFPEaXIpPt4uOstkwvKuVydYJa7lgWPAlvaoHCVYHoth4ahDZSfUfQHrEopr4kujCqrSzc/kQxTTqZC+7REKhocPCdgSgIGNvYXz18/8c24AWGb3nzr2+nQA3MAL0afRO6AC9LSo0NiFhekqoZZWwlY7yxYpitW9dZfiqrcaNooFWci9avKvMXxgERNbG3SUTEmmpovKu7BTcOuXAVN24Dm4tXYPWOAgg5KI36xKErVSCViXdFbsRGikxtijinA+0WYsy0WFui4q5So2ZwPIEb9EWlVX8wGQKDuMIXpDkIPXOe0pyGdha9+CjyiuiijCWHHD8tQ1YB0R+r1Uq0Hdd/j6dgglyDPQeGQBSALQb9yLXjr2hW8DjuIM4Y25lLuNVVXpL9nsf8AyFfcxWwphZ/4MHpvcSitNIkAClkd9maYFDo32gMTuupRppKn2l+paKmKwb37/KAvamxY0+IJSR1Gr7/CRBBGwZYXM4246fOJtTEYPeJdVYrgp1Q0387+81R7xUXf81xeq7FTU92fpq8FMLmt69vz9OVQYcqydvD2n4HEPBj8D/scnydTtGD+moEXcvXSURolVt0z1LPKJlkShBV5zg7TEgLhOSIY2JdhFElaF2xmHX+oITuVe+syUrYACq3gzWIYxjlC0Wt3QImeHzaZAY6jNz/Q+aRjJ52lKDQWvhs7zWOD7vgSBDlal01uqTXpCAGgF3WFde5NSe4RN7zD96iS1bMlQO+2P0JprzkuNWheK/J9PYb1td1o18PY/gcQ8GPwP+hyfJcjG5DgXRaPvCr1aTK4KDfeIDpMtFtujbCMQCCirVCOA1vpw8lwoYQoY0KZNZzBSyb10hHBAinqOt9dm16kZTmFpRsOmlRr0xaLCvlgWpgNOHggiJY4SVSV4VQ894fdkzQr30iwKEvo58AuIQ828k3Zf7Ct++nkSowen/iAtYQ3UBh308LArQLZZzd61uM0iumo/XeFFVwsHrNU8wg7x2bitZuHD810xQWLU10/Pl9OFcJLFmjG/Tw9r+BxDwfhH+ZyfLw6aAXt4+HDB4KveAAABQG3zCtlediKq1bz4A2QustQRBER0SOkANViHHqNe79TM1jeT9sHsPr+5LQCSqnWa06EeukANtr6+AXBYhoPVuYG3VcPPf8AtZmLClppuyxpN0mVO+0KSq9XVe7v4grQWwlwgyBK12D8y6kqLDOv7/j6cAFtoAejwVWcYvxiHg+I/Ds7b+8Q+WbvTENw1PS4odgI8nz1IN1M6EslkuSXpm6ES/K7hvgUO3UMZhElOV09K948xZhlYa+i5flHm2+c2uwFSoQbcbMtwJwJR5tQtJpnHbqynt5i/EeVIU1AHfGZSfRbBsHe4CsXqIw++H6SlQetiAbm8JyW2O/mZI1AUDRrd+1ef06BMcoZw0PBzzmyI4PSUcEo+GpRKOJTglYVbDn5VxtWFFudCNHOSF6nPvLzCyX1PsejAOj8x9qV7Aff28Bm8FuZ1BCclsuu30cR/Y0Ci+agyHfqj9ootn8cRtNDyqxRXBsGjxBrB4aoAxB0IBQug95cGAS0Ue0episJe0GcXPAfaZg2gr7NkA0QBoBY1zUY6RX0L+/zEEGShc69e35+nOMZedwdPFgt30jtN4pFIYKiu1/iUnpXdoOJNjITD45hvFBSY7bQKKPkIVWkKFtukVApSzUb42mE+ApwHSZYlgrU4mHCmA0OCUUHLGBtPSnmRQoEbwXBKsQAcDcmZNWtZbtAOnyemV8jV7r6eGt0T4GYg1WNe89RhW5cdD3iFj6S/MLhK724YrRYbOfvLd9q1TKpY6ZEdEidmnZVGsINiIzenlN2e6KL6lVcKSqou8kEa3K1iti2xCi/Ig/TxWJwvzCAMSzcatO35+nsWtdV+r4/ffumr3/M85MGVdpkMSgRpviCLFtcvwmQ0e7U9yvOaHnHn4Vccpni0sa6doilcA6Oz41Ky9jl8poolHgb9WOvhnjhP5mDIaDQnKvAasoRo2TdjBLuRNE2iradYlrJM5E/CEBaCuP0Q3FbMCvImzHigSlGXuLItuXAALmIV3rL1OsygBrhOjuQQxdYbOEYmyS6vO76zXN0uVMC4/D5iw9Kxbl/68vpwNlbBWDG/T4/dfump3fLcCLLIjSgruwK+PM3FF332o+A2hQF7JoxOWoGmrTv8LQUFrKd1o+w/cUGC++iLIAarNTHz+sVVUq6rKFFNIi8s71tMF0lixqnvj7xWgTkfApbHm6Pn+o5FglNK4IAKACHKmAaVFjleYev68LQK5lPrAO6d6XgxjrpCANGeEYriruOA5YzTiC4VV+p8wwhRoHP7/j6dAKpwAx0Px/ydU1O75RgZAAtWV4AEM6a/JIbheQ1PQevwkjYUx0NFSWTWvi5EGVYohTW27yxx+AUORhZWuC1Zz4mnF3xaA3e6/8AqPrBa7dDkoCcMTsdU4e5oxBLmuSR1TXyiOHokvxLFdjZ96hocckexcPvjvdfxD8LpDsJ6ChHrSGzS+jib2HI+xpl4RBVydh1hiKoXHB5FHiyru1GHuhADFPmMioBQOTX6fcJpScND4/5OqanZ+U7XZouW0wAAA0D5IINXA8Oz6xSFOh4GB6j8Of+1Q0YANiYsuncjowe70IJChv8j18Lj8TGjZyPUmV7gXppN+RspMyk2+D3mB9Tr94ZtEuX46FbsbHkHt4MYKYvsf3EtVYtLrWx5SgNz10InYdVKkd3d+YBUEUPU17fn6fgm87q6fH/AGdU98+SZkqC1lUHMoVjbwYhVbUrT8SpAdoxMGrmBjid2IeXwAFQBqsUu0OgsC3GpfnHAeYbj9HckZi6dTRO54nTwHrDtU6OBx2Q8Dj8BpKYqjNkFnvWJqDeuUcapepFOHaI0fWbKbMxZMpuBv3N5dAWcA1frz8cG3yirrrMW7jwZRl2cunhqHTMdjeV1/frAAAKDb5pFo0tfGv7fT2YdbWvq+P+TqnunyXXMSui6NSBRAwCtXQJcorUV1XgmD8sj/74ee/MZkost9B1hOeKfGeOrw+42TwRPeti4OvJhJbbQwBOMsZFHkajcbZiH7h0GFgwfozKTGj+nMGq5XKurCEI444fAJQJ1JqJPRE+4ZmiX6T3ohcG69Ui21doooccJNhnszZn0guhcRMIneWEFpynMapnwgKsaGq0Jhy9y1+fpAWrZW10/Pl9OBuXYrBjfp8f9nVPcPkisFqoBofDPbAU7n/pES3qQio+AUFwHpzF28F4bP8AcR8pLaI/8JlEVcq7zNDolTQOrbylQmxbC4q1x0/2MNEIGmq1KS0/PKt3cJNeXZhFHHB+T7zhOROqorUOy5sx6M07nNRRkek3UlTY1hFS6CLTEcISAA2PoCREBZmNenf8fThYALdZX/nx+5/dNbu+SBL4tANpDVipLtEvOXPWiCBKiRILi85efRZEoatR56sECI29GAwMSWggdadZdlu4zzg/MNPgQQLO1dvSF+tFxOnm37Is0fQAnCHRV6f/AGB/Fj1IPZnI38736iI4dli4mZ1YAUA+iRQLADPd9ORs5xe740g2lyb0xMyZGzYz95VXOxvj43SHQtpyu+p0lkDW1ek9p+74CCG0fER0O8risz3/AOPETQK7ts+JpiFNB3tfhpCml7DG3xLWJ3D1JwPw37n/ANhhfzhjPtKUTkb/AMAXQUsMtbv6dBaN0wse/wAfvf2mn+GSe0fv8gghWiKw42jkqASa3mZI4MGLFjlZMDdGhCIRTsCODLixS7gLXBLWPvmr+PAGyF7ej5NEjz9MV4dO9Q38oCQUWJv9cYVgtbr+35+nAFz6Ps+P3/7TT/DJPbv3+RjEjldlfnws8V1Dl5R7nNeQh4DDDoRADO0Er61bDnjsS4TLaDzez/ax8NCHgL4BBuaJu8vQmSumXl3YoYC1dpayDN6H5YAUFH11cRerZctPz9OxcNueXb4/f/tP4HJPbv3+DJCWVZtDqVRZY86wwRTfp6aw0Vf/ADGMNeK0N8NINxBETDDuRyjXq/SBWlqsDuMXonmiNN8qgtHfPV0IOSJQ0HB+/AoQqTRIjDuVl+4l005ln0jhC80VrunB7wTqjoYPdl+KBVGhwcHg0LiVT1N4AAUBR/koE4LMxq0a3+nK1ELN7Y1Pj97+00/wyT2r9/FEZ0RteUMnt2vu6HlHlYW1W1efB1DGUuvPeKuqRW2UmF+ivfz8U72dSk84ptdA/eIWe/17ToLwV8Ki465D5kbbF0/8RgUDmT00gUg0Ao8RpKA5ev8AlIFMVQM9304FVVwTo1+P3P7TT/DJPZv38KUrwQvonLDltmNtOrHAMWgyvkRTTHar0a1hgDH4uV6EodrLfVeFwVhbG/TFQm/z3E1kOC8sPk4Ar4GwZqRfSAiABau0QAjSjT0hlVtFAQAQRLE3i5QNsoti4pG5qJWpw2zLeSh1Gqtlvk5huVwF4PztcsgXgBaaajKr6hsMDD2hjrdANAafIQIk1DA3ILlVYQNUDCNzF8QkkuoTYWWwm5iUfzjJpQMOG7lYjFUdhHnWiFBIUQSw2CQ4RouFAyFnzBbQGqdTv9PTKjuV59Pj9z+0/o6k9i/eX0urD0jqxa0TCtdX9s1Vhu+79IG1C6rK+crAEXdtnvLRAxVodDp4sDWCwGejtBEsbPm06XIALWBUSLbCjj4KLKtn9g284JbTWg33XKsSCAtzZqVx5x4pA+A0NIe8LMAEi5B729IQhQFAR0nEUppyaZjJtshq4tOIgsoHibIexSoxCkxMrheoUPMyJUIGsXVbebrEC3DbEuvaogLqYqtCuleF0gb8+d3ygJTDBEHu6wEFqE9obvaVSEYor2BrBEUWUDueAr0fBNmlbbR3hcKumrXLGClhdoZzUNta5QzKQLMRN8ZgqLbIAbwo2XYPRxo8jK3GC9oqD13YBMjAqxdPzKqG5gev7fn6dBarUqr0afH7j9p/R1JqAt92NLUl8u6aOWvSJQLkVadX5AhAUjokWEYuHZ6QR+WILYvWqKLoAbY7PpU7VhBYzoewCfDUr6AlwDqbW10/P07GZnINe3x4t1/aE8aMOtkRSbkdxlSYe7y/LuxMwS/JxCLz3Bqkv4w1IQcaFiawa1AcrcdRL4+YSSWgQXFplmksMJeiWM/ANtvPGIYNrRYnyUIi2HS8LpAATbeQap8FU42quoNl+AqqCd1XXoTPuQsxa0fDVcTHBde58TAKhZGNWmPpwtdbLh1PkEFNywNIrPTRRQHzQAF0KaQEgGGQN46QJqrQPTkxAtyKsvTmLACo9KWAFWmuOYLoApSg7wWFOqfQ6zFWtW3unyFAAdAussiofVAGnrEAAN2F2RyN+CNqQWYOK3h1QBAejlvSpcSW09dQ8j6x2U5tUsF9KRkxDVtQL6NnwuMwGF1eNm69Ovhq/OmzUuQUsDmZXrAPVhQiihb3xGwWMNFoaoX7RYcUXRY6hzhlRn4cN3Q1KhrvmcKEcUmPeLgRTWwJttkKgiDAVlUbMGGIxIXCmFYYHtAwMylLCmmUpTxnSlGiWS273CFCsLEs3zUM3ijQBBst1qJb5ubAZHGsqbyoDsD4magDCZ169/pwNuHVfDX6mopqM6yhoEr5WaKWtFcjF9hJYebvMcGoteXVcQArMjXMv4lZa9h13DTwdBUzi8Lx7yo0kAAMWFvSwjS4u+Gdr3cQBeA+CZPMfhSyoARxJgzevEIDAIlI7zIhWgB1FLDzl3+5qEfxLsO1VAAl0qCDItgB1QAzAgWrUXQgPrKisBWQuPWL3SAAIVmzDWLJh5RWFqtRyW5l+AO7SJl843N2CkRsr0lW/S0ptaAMtZYZi5S80zVobCylZaNWhTUsp4oLHZEp5gM8aa1a6fFo7Qwc+f09crwbPPp/xrFQJgc69e35+nQWu1KDhp/xpBBSWTyafTpSoGDZrePvUGVFb6YhZkehzEAK94OfeCiKOzl/iJ3Zx6vEDQh6MSbFLDpzECC94P5gBBpV1szqaLe/EownoRBvBYdOYiBWo5Ofm4YnsxNIWWHSCABT3CDiKOly/wARAWtFnfiCNAehE2DIHBBALYHUgwwZ11TOpo9W6qYSHtRAIHtB/EHALFOpBmCY9U2TWr1uqmWn7EUBA9oP4YABuo5OfeBMUv3VNs1791URJIKumIIyFuhAAF1Dk594MlFXV/VMd6Pd4gSEPQiCDdg4OYIBlQ7QJB+7Md1r3eIM6DW4iChZ7BBwMmjtMJ/Ig4Bp9XiJidWuhiBQV7BBAC6HU595qErfVMI1qh34iY0510P8zAQr2CCEi2DpzBmFPUmMa009+IgqaVdDECA9oP4lmBbg6cwai6uuDghpp78e0SWD0NH+Y6Q4LLQ10+n18aOJRxKlHErwo4MSjglHEo4hIDaqE1IisoKBAu/KJloFtZlVFpLCnVADbxo4lSpRxKJRxKOJRxKOJRxKOJRwSjglHEo4lHBKOCUcEolHEo40lSjiUcSjiUcSjiUcSpUolHEolHEo4lHEo4JRxKOJRKJRxKOJRKOJRwYlHEo4/wAYCgJwkGvRakNNQbLPjoJRDmsHeZaqLBg6/wDOXNjKwW3e0EFnwALQHWWLLIU0dOJXgLXHL/zzigYpak/cAeDSJVPgKTqLq5hYXNERj/KK2kdcNzh8oIlj/miFpoSL9YtLN2BiNsVfSpTcnSvVJa4fUNTy+EQVNCnD35mIuGoKemITjV1XV7+C1rFaK2RfpEgEWhqeX0AFoez8SBah3+hbIHKi+ntLn6F58jLFA4zd9rPmIJQtBJ/lLQrtCFFCAvgDjFQLxWJVAdFlOwjceWuT1rpFvzdJdqvSx6TBo+p/4/u7wgd9zbo8MWhYmxoKK3Gb/EWAa1iDuzn2lAIGoW7F49ZTdISFfW4hfGgGq2DrEVytKnerV3xKILgCCjyi1eRin6KhwjT7nzBdOboF67FJKiy1mcajzrNTtDOjeChsp1xL7XACl1SbRBeBoCrMnl6xYhigsbpRuXvDh2qWNFXmKmhECpxze0KGFAgzqamIc7VdnFt5YObWtA5O8Bkafk6Lwmzkf5sXzLkBwFPaP3Ev0tFTUs0fGs6sXpYSrVPP+42XFKaoq/kIMaWDWwe5p5ibTHRj3PKpUb32B5Ovl/kdbF7Q0z+g8Qi0uuGWQjbWnJv0fJ6omCk4Lsvc1vymvcRbFV9usoaMoaPpAmiAFa0IDglgmzl1fY8/Egphp+T8yjxAtYMDZo1BqcWvVVerNTtGYAysnFfaY/uJho1cKmETRGdekqbiIg7XwTJKiiaqUDkYdJeisFW5UfWAUE6aKKXm5oD8FWH5cxFUJ01NLvVPpBwPA05LgdfBUA2b2lOGtrlfcXHNCQ3pQC9M+IvJYXd1pFg8wBywmJQIdqtT4b+HjI2sdnUmpGaE9o0PeGA419RayeZBfQ6U7m3+LVuovaO3/VHiEJsWCzU4TqQvcqDaxe4ygSkQ3oNjMR3DdM9UihumDesp63JWsBewd9R0/J8uY+FRpFoZY69QV5n8voTIbNTTSVBcA1ZbrfjUolfG8anp69HpG/PpGXm9IYHP6Svs3Fv8ObarqfJhgcuv+896dP1JjlXDE1CeSao/LBdPRSz90WbEVnzJsDaF+0Yuorm96D8xs6cqnNn+EllQWmrOw49q8BCE0TCvuqf/AGUqF6J0PB5MtKLM8y09Z659T18okaC3bat7eYRAIKyI4YECNNie8j8oIVAAfXvB6qad+eZmcrlNVy/IonuuFzUr5ZqHkWRXj2/dP6j8yrQ/45nEP9cz/wBlF5BNrHPn/h7cUvsOrzMeR4CEJ0KoBdXvWkroLt0qXvC6aDVFGN5fu9MIrQ2epmCfVqvF55jkgsPVa33NncqLVz6Jv7p216QhQjX71I+6+X/KgKllt0o90ge1VU9Ia9z03mnjZLHwFwGpoMcxBwWC05eIisJeMlRNC6Dx1j1DSiu69YEm7EG2qOer9RUmA0moxeV9n79GNLbZM3t1OH1j4jjWhjAdAx/ytPaFCtbWHrLlweYov2R74esSUTRe7G5CMIZ1Bwu/tKlXfXmWMA1hXT/7A3bf2D0JWgmmGxLGU8aMsKsTVFJCMLGE4cfqATWCyDAFSixI7pNO1bfgfLv/AMpqfCyvp42gVFFA6nJtAACggQOMVxpCloj1jKYNB56PSC8HI7PEzTWx/G/37+Ath0HeOCBa68vc0fJ3/wCaz6dPv4EIeDKsdPfqdZs0FMpr33Zz4UYD3u7uuiY/8l/1N06juPU0/wAUohNCu8Gyz4lN2Yt23MvKDOmRdtUOfX/G1Ph63BFS77nDCEPFyHVw5czG5869Iemhfg7Vh3sGTzM9x5/xToKC0ta/cb7Trep06xILk0puUXvY95la4egv8Ra6BwKZbpFD7EGoL/BmewnSO+gfs/zJEO787qdYQJYwhAlMQiJY8xrNdFp3P/k6QEHn/wDR8KT3PEZH1mFAvgGE9flepUquwG7HoJgLNjGngcTXrQOX39Gbwx9s4dYYQqUtrYI1BFIbUWzcxHZ21cE1TP8AdYyjB01jXO51jYX2qnevlXUP0Njd7QZx7E+Lov7+/mJesBbBealfF7F9n+NqPjJG5+HvB9BV6PZhCyEmjg5hXegKxQdNjlY7Jz94tQtKdeT0g4C1iG3Z9/Al16E7AYfMK7hz8rDNMrWiXXS4lOjYGs9V2qCgLaGsTa20Rg17p6xaj3ZRWvAmFgmNjFOTTjaNwepZdbt9IU/QAKNcdfzH+tApybezRGNkYdY27dX5K+g+pr1ekY63Lx0Okq5aNT3OsGUWxPhU+EGppgxXSdN/HSHD/wAcQfa8n6gm33ktkfVPxGxgHnNc/TKhgPP/ADBmREEQY37f42g+QCAEdma3B3D11IBiajNii6esy4X9eVwkEJHWw1aiLE+O9mE7WMBTZljpuf3MQtW6Xk2/ung7DRgaoyJ1EGKIEJtjh/fZPlXOc1oq/DKyrAaPI7Qo3U3aOLbYMHlF2jixJnp1pueV1YhcVgoLqDTGajkjDipgQNmoOlrXycuUKsLrvDMMAHrFwkBr3iG4NoaX8OfPPv8AEhqh3mvtwmOn2GB1M6zSJNXz1/z4YHvOkXb8kfgPEB9czFL0oUnWl38oU0OE/LMYMuc4ekMJRoB+fAi7D5ADD5mPI8VAtlkrVNAPcJEApq/Kn0zNftCuFh0Xo06/C6TJW490qODg5XobzW22gvbrBHPmn9J7Sh/LPsvH2Euy65T7p7GAlV/jhkgrq0uAZV6mqNR7Pybly4gUBOpNSB2x9oAAYDB46vjJbGR8kJV6i+A4T1gdj0yJ1dg6sF1+De9r9nSHSBgAoPrnSM/IapW4mmuk4HB/nu4yyLXxPv6wGYFiNifQEBgVasg0Hax/8SskrburldV7y5rVsekWzi/v6Swiq7A9U+uRtmoM/wChrERC2z9505IIEFFib/QHZpeuB56ecNLgDZib7PL1iAO5XdcrvPeaBEqvei/abOOPP/Hplq2WvX+npApX3PnkrJjVwCwDAQ7m67PvGgpyM+xAe6v3hPbS3/kLHadQX9074espbi0Xvs7OzXnNcnw1KI10oLgXE7F7+T5DC3gNa15b7UfDpjajUco8sd0hYloBp4oJSDPICOzz+sWp15oiNaleliJNNv8AW8RF12GImAd0aYhr6WD3SV0TjLmkwsh0KQ0s6Aq+X+WlMCkSxjkMOP2tTyZoBtPw5h6RBB2owdzUlEQALV2mCdz+818hg63TZ9yy+VRVE35DusxcoDVV30O/fTvBys36lqmquxv2I9fCogA5e/oOrH4BaPIPy7/4I6CFMAYthq2dmCLprX27/wDyLNiijdXrMYpVY+1KCKQbu0vTjpF1xlJXuQM1dIVK0lkXfPeKKugGlnrCjoRsHCZ9f84rz01JbitLjc0vQ0POGhDh/NCvD3SQ8giBtl445IlHTffiC4mgABqqwCMRXXQ27/MTJbVBCtg5eqfwv4mg3Bn9Wj0iYpyK2nKuX5TvtokHcMNxMkL9GTHqMVatbRC/ytR5HX+qFHQrKAD2OYz9aTeQqd8VChy610huPLDZtkGt9fR+W1GG7PV6THwfc6nT/dYmXCWjeutSv0wcBPVSJWwG7LMutZOPJ7CNF2enDty7EqpqJ6HHAP8A7FAV0JcVS13HHsL8/mOSJSAAhXFPMaqiNSAaptdy2kGp27npByPUQ9RXXSDii1DGQuupnzjgls2iw+S/65eOvCvQeSPP0bQYNL7X/wCfKeYLsIdWKYmuD1Kta4yWMFMPU6fDYGE5eZQArMAEoesxIaq61BVNuK66w2ymrAKBLWj8xTNi48EEYogl4YalDQPT/PrbDAGVbAbrKEw6oPz1Qia7cBoEMmHoD+Ru7+FCtHfi9XkF8oTwGA2D5qDqeGsbWt7wa9paiUDX0j7UwW7ckMRQAyDQYoN7T0D8pLlQgB0dkODmz2YggNc10+BCLoZmBBWS1+aaqALGBD8y8pFgbzWMbzIy5u/rM3UWjJVipRhiFSrM6MCqcZ1aSkTRKzl0IOjRArxrEiFaE45eX+cUsdrHCLU6Hl1e2kZsAWrsRKBso55nfU9KPHlnvQ9FDzf8BhxWVK8sRG63oojOgAHwUBuJHToNA6rFzpVpMhb94cjBHBdtVE22SHUNvaKb1XLo0h0qLkcF1LdEEFsVrLQBYFZVIR2nsSlyi16Ey0oFOcXn/OV3IbfMrnwaVhYdF/AYABQFB4aN6NcuxMkF6c5n/GqJh1qGtKbguqqJWjVMFNb2Z2NJg61ar3uZqFcG0rt+TVRBDg822KJdUezGgF7DtUAUw+UN/sh/n1W7p9PGsRZqsVkD6PT/AKEiiGFXq/4X/9k=)
Resumo gráfico. Crédito: Materiais e Interfaces Aplicados ACS (2023). DOI: 10.1021/acsami.3c07189
Lu Yi, do Instituto de Tecnologia Avançada de Shenzhen (SIAT) da Academia Chinesa de Ciências (CAS), propôs redes interpenetrantes tridimensionais (3D) condutoras de polímero-hidrogel para eletrodos crônicos/neurais de alto desempenho. interface. O estudo foi publicado na ACS Applied Materials & Interfaces .
A detecção confiável e de longo prazo de sinais eletrofisiológicos é fundamental para a compreensão dos mecanismos subjacentes aos distúrbios cerebrais e para o avanço de tratamentos eficazes. No entanto, manter a estabilidade e a biocompatibilidade da interface do eletrodo neural por longos períodos necessários continua sendo um desafio.
O poli (3,4-etilenodioxitiofeno), ou PEDOT, é conhecido por sua excelente biocompatibilidade e baixa impedância eletroquímica, tornando-o um material polimérico condutor modificado comumente usado em interfaces de eletrodos neurais. No entanto, os filmes PEDOT frequentemente apresentam rachaduras ou delaminações devido à sua limitada estabilidade eletroquímica e mecânica , representando um desafio significativo para a viabilidade a longo prazo dos eletrodos neurais.
Para resolver esse problema, os pesquisadores propuseram uma nova estratégia de modificação de interface em seu trabalho. Eles prepararam um filme de hidrogel de poliestireno sulfonato / álcool polivinílico (PSS / PVA) e aplicaram-no como pré-revestimento nas superfícies de um conjunto de microeletrodos, formando uma estrutura 3D rica em contra-íons.
Posteriormente, eles eletropolimerizaram o monômero 3, 4-etileno dioxitiofeno dentro da estrutura PSS/PVA para criar uma rede de polímero condutor interpenetrante (ICPN). O ICPN resultante exibiu microestrutura 3D altamente porosa, com tamanhos de poros variando de 0,1 a 1,0 ?m.
Esta estrutura porosa 3D desempenha um papel significativo na dissipação de energia mecânica , melhorando a adesão e garantindo a estabilidade a longo prazo dos revestimentos condutores de hidrogel. Além disso, o filme ICPN possui baixo módulo de Young (191 kPa) e notável extensibilidade (72%).
A equipe de pesquisa também descobriu que este filme ICPN apresentava baixa impedância eletroquímica, alta capacitância e excelente biocompatibilidade, atendendo aos requisitos para interfaces neurais em uma ampla gama de aplicações in vivo.
Além disso, os pesquisadores conduziram uma análise comparativa da qualidade do sinal eletrofisiológico entre arranjos de eletrodos neurais modificados por filme ICPN e PEDOT/PSS após 12 semanas de implantação no hipocampo do camundongo.
Suas descobertas indicaram que as interfaces modificadas pela ICPN melhoraram significativamente a qualidade dos sinais durante registros eletrofisiológicos crônicos.
O estudo tem potencial para expandir as aplicações de implantes neurais e fornecer novos insights sobre o diagnóstico e tratamento de distúrbios neuropsiquiátricos no futuro.
Mais informações: Mengying Yan et al, Conduzindo redes interpenetrantes de polímero-hidrogel para melhorar a interface eletrodo-neural, ACS Applied Materials & Interfaces (2023). DOI: 10.1021/acsami.3c07189
Informações do periódico: Materiais e Interfaces Aplicados ACS