ÁLGEBRA MODERNA I
A estrutura Matemática usada para descrever este tipo de organização de conjuntos é a teoria das relações.
Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Na Matemática, uma relação de equivalência é uma relação binária que é reflexiva, simétrica e transitiva.
Sendo E= {5, 6, 7} e considerando as relações em E:
R1= {(5, 5); (5, 6); (5, 7); (6, 5); (6, 7); (7, 5); (7, 6)}.
R2= {(5, 6); (7, 5); (6, 6); (7, 7)}.
R3={(5, 5); (5, 6); (5, 7); (6, 5); (6, 6); (6, 7); (7, 5); (7, 6); (7, 7)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam uma relação de equivalência?
R2, R3 e R5.
R1, R2 e R3.
R1, R3 e R5.
R1, R2 e R5.
R3, R4 e R5.
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)
Relacionar argumentos.
Traduzir e generalizar.
Manipular e justificar.
Atuar apenas como incógnitas.
Exigir métodos informações de resolução.
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PHmOFsQe5XWmqT96x/kTv5oqzzsRr6nGa8yJ0U1c4VR8r32dNgTLbpVbnbEmeR0ua36ouOjf3ht5uTIvMGarRk7vNUEj5xjt/ATtfDN0K+Njlb+unYeIg1h1f28z2UvOl87kcdJ+ljzDnJXxPRlsRZH53aIRZW+//NvvdAq4z1ZCz0yB/rhvPRirWnWycNnkGgL3F+hkXogAAEPAJLouRd5uQsBOZFuCm3yto8vRFLJdphk1PFwy6+hx6+4rydf9G6t+Txzb6nenMnHinRXPsIAiTOH9GNOPHJBE6VKH0y6NW+zTuvGzLnabc93gVNmXSueNjue8rHZ1/r4V+27f14fLPvqb7cj0dKOtc+gQCJ8yf0Ij58NIFzJUofjXq9c+NOY/oxqLrQvh2u08XDJt/rdI6v0ce/as9b8fhm31M9uTOPlAquvT0BEue370Ic+HQCp0uUPh34Sv/Gnarg+dYWUb3tzhgPvT60cHlWnSNsP0LmETyOsPMImUf4npL5zran/OHaMQRInI/hilQIQAACEIAABCAAgQ8jQOL8YR2KOxCAAAQgAAEIQAACxxAgcT6GK1IhAAEIQAACEIAABD6MAInzh3Uo7kAAAhCAAAQgAAEIHEOAxPkYrkiFAAQgAAEIQAACEPgwAiTOH9ahuAMBCEAAAhCAAAQgcAwBEudjuCIVAhCAAAQgAAEIQODDCJA4f1iH4g4EIAABCEAAAhCAwDEESJyP4YpUCEAAAhCAAAQgAIEPI0Di/GEdijsQgAAEIAABCEAAAscQIHE+hitSIQABCEAAAhCAAAQ+jACJ84d1KO5AAAIQgAAEIAABCBxDgMT5GK5IhQAEIAABCEAAAhD4MAIkzh/WobgDAQhAAAIQgAAEIHAMARLnY7giFQIQgAAEIAABCEDgwwiQOH9Yh+IOBCAAAQhAAAIQgMAxBEicj+GKVAhAAAIQgAAEIACBDyNA4vxhHYo7EIAABCAAAQhAAALHECBxPoYrUiEAAQhAAAIQgAAEPowAifOHdSjuQAACEIAABCAAAQgcQ4DE+RiuSIUABCAAAQhAAAIQ+DACJM4f1qG4AwEIQAACEIAABCBwDAES52O4IhUCEIAABCAAAQhA4MMIkDh/WIfiDgQgAAEIQAACEIDAMQRInI/hilQIQAACEIAABCAAgQ8jQOL8YR2KOxCAAAQgAAEIQAACxxAgcV7D9fEzXC+X4TL+uw4/jzVCaAMBCEAAAhCAAAQg8E4E6onz/TYniJoohsfrcL39DPdC8vj4uQ6X689QqJJkdr9dhsvtnrz3uov34Xa5DM6skc9tOMTKx324Xa+Gv7C+d3N8DqvHcL/5tt72eEdRjT+Nxw198LgP91QA32/zG6TrcBvvP4af6xlj8jk97GnJMfMq7XUyjbk1c8g6C2J941x06X+TvLbdaPcp4i9msY6paVUZ09frbfhJjcdZxGetJ4ZLQ3Gt7w2i96sy9+81mP/PuZ5X3NZYXZG/VCRz+40J7JA4VxKXcXe2f8GZmE6TdjgAX8pbBpI3iMTGtf4VPPF2tZWxHjckiQWV62/NCaXbhVc7d0gydeJKyfaurWRynz49iGNsThg8HZNfcd315N6yZZbZUd4ckLwVTY31rU2A17YbhrPEX8yiiK7lZuOYTo6zT1tPWnhpnU2+q5Cjj0vcxv033YuvH23Tevnrx+96nbQ8P4HmxDkb7I/7tAt3uQxxne07dOM77MvKpOgp/GUy2DtxXhLR64/ZYS6yfoqzSSVTH01JsvtUQXbLx6RzI5t5kY1jK2lK/8Wc/PmNy/jJgnDX3fTrzzGfLvRb/roWOWaHWTTHkveG9TBlg0tan6Yv4ctp4u8A9pX4ecz3L9G8/w3rSSIWxkvbfc9J3vO6WwuS+cAwnH89NzTsGDSXKUJge+I8MsxMruMEuDFxmndeDkucNsbA+I509wV25umeBzFGzoPZ3/U29zcVM/1YlKlJfvzmRifRTX1XWWSLprXcPFp+iw3vVufpzNbE5Raoz9a3xdaj2x7AoiF+pp0+80icuDm2++z1JNubu/ielb7Pm0VNNG/T453peX+Kp/S9kn3cg8B5COyTOCeTuTmhCpPKedKME795gk7s3k6TaJyY7YpxhV1TYrh1Iu/1IljIVtid1xjIzldsuqOJcyr/bxIglWb/eiba5eO1x7JTLLvf16v37KQuztOXPOUxjKAvo2fMJxnT886hB9Mz3suXRi/js/9uBz6sHp2vb+/Gx+NnuMkz2OKr9yx8KDv3rHxYb/LBPm5aZTakZTRzCJhPz/Rn4jKoO/p91efRI8DpC4GMnL4lpnTXLEjqVLrOhXPQ23ZTlTQfy1hFDYFtZf/Scpu5i9JAX45F2o9cTDlvlkLDmI7njuevJ25cjdOQ+f7G9Zb5Tk9bHzi52fG6oFLW43crdlhLQ8nLeWaMLRUqJbMjXulf539F4nQ7zTQ5XqK5Jx2TTn+OfzAOsuMuGOtN7lDpIwhsTpwfY5Alnv2cgyqV8EyB6z/akbrmCM8DMZ+A6a7nnDQknkuV4E/Z4nSMk2PsR86u1yTNsrhNz+TaL02mbExds76my1snz0XqY34ONv64danTVKpMwikZ6vs44SViQeMormcS51lvTcakX77EmYu9ljd829pPflyHq7FhifWC7GAhjnmoT4sPcR3DTD4dMjb47BYZqT4br2lsh312u02P/Vh7u/ono7FDnzIev++k7TSQjPgw4fPamTnGZyOcAz5d/m3kLvarTy3sS/1s+8hw8YoNY1rjzCGe7VviepGode291DXXYtbvZLsbfmGScRt+5MvtIZfwTXaJSdC3k9zcePVtGM/29D0hfrq0be731sNa/zbyF7u0H2P+wXgp8Q9issh/ti3WN82FXszomPEuZgFz44MINCfOuUBy1+VduAETLiDmlgyH+fnXuY0GaxDgrk01QPdJnFvt8iYJZ+RzCjqR+GO1k2fW1G2Tp4jVfh/jQp4H7tryShimsREtXJrUTcfUojnuIDsDZOdibmPhzfJt+2HQePJ3qOV6Soa7Zv01z6PbNzkJDxeZW9vLAh3wVtv8X2OZdnGkjxa/te+tjMVfiyz3KYDqkk+TnB0rOFhblzdgstuvv8zT1z8p5nJN7a3r07r6JkH1+3PeEjfL9UmHtmtlrPKfE3/rWMinEeb7F/Nunx9TGfLJMad1H8PdJaoLR51XvDjUJruvJ5NgjQ+ZR5ZPmZaxs8SjxscUo7XYX+TaseaciQq7+h5J1wsamzrG9HrDMUzsi/1r3qSlO9MoVJssp/ScpExbYlLrjm9Wvfmyb9wZQyl+GYEdEufSxyG6YCSoakKku0nRO3jbRgfQikFtxbSUa3aNk0TBrxYdK+u4n3tLTTg1u5M6daLwk1D3ZkiT1ZS+pLwpcb5er8vvXAdvqDLN8pfVL7Ulc1wSwGURs9dGBak3YLP8qG7OokjGHJvBrtLUXPmW4mVr+4K/mlAk+2+2TZNR9SuRfEcoksy2+lEY4xoDamtkkLmgfiR9NvWUTUpmQt+02C79mExmErq9dnq/hbE11ZZVhvNvK3cR3sN+ruv0e8ZNXxRPMbXVlG9mLOv8Y1V4HK0sLavMHdcTTbDiuSEc1319kJerzvjHfX1X2erD1rk/mEdE/NwXMTfVXYg3rSJHjfXqeOmLyV7+o0lqiw1KayvlryLQnDj7g2B51+2/w1vYVQe72fGp71IkBueiaveSDqyUXfaeTvByPHY8LbztLkfouLXN76+wpp7vNXmqPP+oyUXJZr9F4qw6Ccdt8rGXmLBr8h+P4XG/D/efn+F2s28I5jdxlQlVGWTjY2t7N46WpM4RUdnFBEV39eJYmH6f3duSmUSnmKmujKNVDimZ6ojKTiVktf5RGeGxU18UU2qT8Tflo9+ug7HaW/MvYYc2lWPKJnt/LPewUH1NMRVpmi7M+uz8uZTlEQbZYfTjzueYljvViT+Bimu3rSclnR5XZWJiwer06pbGq21kyiU7tFq779oijsWlD0wynfHJSRk/HQjmnlI8jQ3b+C+f4Cz2JOck5d8Yky08h9q4UwAcv5LAysR5YuUGa2JwTfd0Uc6wdRNoMPCi6jrIc/L0/jLAUpNAWzK5vGOOviwW2dV4wflp7av5rLKNb95Ho3rfHJ2eVtmm7VhMJJZhla5ztX2tPUtfNPddcWFK+Jeb5M2z+6lYcm8GdNJOjAFBFS6aEb6t7Uv+quzigmL7JvgypbaTP0hh85gUM9W1lkNKpoOV6LfW/nEygkKnvnix1djWOWk+D5L7ZDv9aUPlK8eQcat/W7kLlh4Wqs/aHpVtTAXcq/oS9V2MK+t0HfWjPm+HfZeWV1rDvHGtTBpjP46JtH69WrJD67T77loEhcQYC2pEp7Pf0dxcjCeR0sZ/0tcwJyn/KA7T622Rf+u4i2Bw4ZsIbEqc3Ud8iR3XYnCOhHXwzMEdLDh+J6QXpaVOICszgKIBvggwpUBW0S7TrFScJxI/AassLqO85Us/ddv3sHvF5Fny2y14Lb5mBFUn4bhdPvYS/iXlG5bX23CTv4wpu86yC6GTtMaFnmcWzcmWwicSW9uXGFdkx+T0ijxnKr/QYb4Upf5KlRSziq4qh5RMNSd6lKCjf5yMoNClTx+H8eM4lTyF4zQfiyXGHf5t5Z7rT4crGDMVfa5ZqVBkn26Y56j1DTOZ/228ahV3nOsW62ifp5P1VN/nvssQxn7dF2foWKjX7/Hdl72cBf283MiWlIG/rtlkVcr+mJmEtfH3FRfGS2dM5nkajrV53zeOsy8jsDFxXhbRcKLKB+dEWAedLDS2nObfP6jTcupXrS22XG+5d43Z5/FNid3uS+uxttpyunbu6hrOamdqgdGJKHUvZ0NwfddFNuFfSn5pIp7rL/He4n9q8VA/t7bXBT6loyRb9deO+ubN9GGKmSa3W5/1TiUzIfOu/sn5l4gFrRrqy705MXZMYy7ug9o8OKkMGBu5apI7RraV+ljHX2yXkzcWeliU9PlSs2fJ+MnWniwcv9ib98POebacllrw1zSY+i71pjfkWmIS1i2NV6PcFGsxZP21ZSOiodjGxApSXf2Jc78uq3fcsBt/vUfnpBJ/v6WcZXl2jbtYLle+h8D2xNl97GK/ob8k1MmNOA1Qt0hq4GcmRq2fFLZjZ6meVrt2VB2Kyk/aYU3zJYrNdq+b0NRW77eDO35NIeHRcmnXRTbhX0q+xoH3pRT7bX9/R8v5n/s1Cdcvi1u2tE/79NhJypaQud+mL3CqbSYhc78KMNb78euJ4SlmbkEq/LKA6rLOm7Kz1TySlPxVjc7+MSq8YrM+51vIeEmKxp8CTPg36ZjbtTLu9M/5sTL+BIqTUWNv61p9qZjyaJuTTPyYGnFxbpNcApSX47/PeuKYyK6pGxTm+ybGGFfXMrFzoLNNWYexFLvsruzpuxMaFhJzY1il9bzWv9pfhl9S9CxHNikc/syclOSficmpboK/2tU47ydt5uJXENghcZbonBdXu9uk16LBsSw2qecml508w780cZhq24or7NqmMN9a2WUeOZne4eu77TPYrQtV+DHd9Oym/ZlCFytRXGRw6ORZZDHpVZHZiVF3Rc0ipkngxFQnU2Wa8EftsDJEbvb3i1Vmxr/x8rb2eX9FeKFvxp/ZUrvKPivbydzpL4P5zGZdWzkoX3vUX0pwzMu2jna5uupf6phhE+nLJzt21y18TGMk4u2Ulu1eGJfrxf5ti5+JTDuL9phKMR8z7/F3kVO8Mi2WNWaBNFdVVsE403kjFQeN64mOK/v76FPMy7yg869a3N4HKtdb/1RM6qjrwR6+p+TvfW3mm+3fRv7Ls9DpedjHkYnfcR6RnxNcnMzz11hK64vGXbZfFl2UPpPAPomz3YVwEToHYTBx6UKTGlRTQAc71052OFHt2yFr7NrXAiNNJ32bPETlicd57A6/xJH+mcLTJc7m92dlYnThK5+keF/iEn9k5+M+/eRW9OzetBO1/OVArW/6tVhc3/g6yw0AACAASURBVD6/EKjCUPZl/uUCva/HuN74pTW73TNWneppErEwk5uhjE4Owtdwn361Z14Uvbmkt3/Ux+DYqC/PWBfsIHGb1cTtQj7Tm8tlR1Pt6/UvlNvJXdQ2spgsDPXlYkr9McdaYmWqLsXnrydL302+arxP88Bi2VIKmaT7YJG7tCyX9vO9rGenu5X+nfxvXc9DprnxIrbHdadfaPH9KvPvGHckzj7YLzqrJ85bYDS/sywpmRamVKJdasU9CEAAAhD4IAJPXk/KCdaTue7i+5NtTqpjPU9i4eJbETg2cdbnn/0tqS5A045q67vTLtFUhgAEIACBtyEw77w+aT05VeK8w1p6hm5mPT9DL2DDVgIHJ876PFv6Y8y68bw7rTOiBgQgAIEvITDuvD5nPTlX4rx1LT1DfLCen6EXsGE7geMT5/G7g9fK72qmHRnfnXrPNabrcRUCEIAABL6DwNp1obfd6RLnDWvpGSKjl/8ZbMYGCKQIPCVxTinmGgQgAAEIQAACEIAABN6JAInzO/UWtkIAAhCAAAQgAAEIvIwAifPL0KMYAhCAAAQgAAEIQOCdCJA4v1NvYSsEIAABCEAAAhCAwMsIkDi/DD2KIQABCEAAAhCAAATeiQCJ8zv1FrZCAAIQgAAEIAABCLyMAInzy9CjGAIQgAAEIAABCEDgnQiQOL9Tb2ErBCAAAQhAAAIQgMDLCJA4vww9iiEAAQhAAAIQgAAE3okAifM79Ra2QgACEIAABCAAAQi8jACJ88vQoxgCEIAABCAAAQhA4J0IkDi/U29hKwQgAAEIQAACEIDAywiQOL8MPYohAAEIQAACEIAABN6JAInzO/UWtkIAAhCAAAQgAAEIvIwAifPL0KMYAhCAAAQgAAEIQOCdCJA4v1NvYSsEIAABCEAAAhCAwMsIkDi/DD2KIQABCEAAAhCAAATeiQCJ8zv1FrZCAAIQgAAEIAABCLyMAInzy9CjGAIQgAAEIAABCEDgnQiQOL9Tb2ErBCAAAQhAAAIQgMDLCJA4vww9iiEAAQhAAAIQgAAE3okAifM79Ra2QgACEIAABCAAAQi8jACJ88vQoxgCEIAABCAAAQhA4J0IkDi/U29hKwQgAAEIQAACEIDAywiQOL8MPYohAAEIQAACEIAABN6JAInzO/UWtkIAAm9D4P5zHa6Xy3AZ/12H2/3xNrZjKAQgAAEIpAlUE+dp0tfJ3z/+8ssvw++//z7873//S0r/559/xkXj119/Td6vXZR2ol/kPPO11e4jbRXWwvxf//rXyEaOqT5Yy+5Mvn+Tr2tjRsagjlErY23/Wxkt5f/85z9j/Fk7dF6Qe6XX1lh7lo8lH7L37rexX64/U7L8mM9v92yLVTdax8gq4Qc1ekebD0KBWAhA4A0JbEqcdcGW5E0mw/Cli+lff/0V3mo6l3aiQ+Q887XV7qNs/e9//+sSZmWvx7AP1rI7i+/f5OvaePnjjz9c0ixxYF9r+9/KqJVD/RqL9ihv6nKvrbH2DB9ztndff/xMu887Zs49Y6Tb3oMayDqhb/ptnEhZrotPvCAAAQicmYC/2iYsDSe33Hm4QP79999uUU8l1QlV0SVpp/pE3jNee9jdYqf6JcfW17///W/H488//xybafIgcmwfrGH3LN9b/P1kX9f0fchMEgwrJ4yjNf0f6iidtyTNap/UDV97xNrRPoY2bzl//Fyn/toxce4ZI1tsz7XV/g1jL1dfrtdslvu8IAABCJyZQDVrK02ONmmT3QL70t0k+Th1y0s/jhV5z3jtZXfN1hLXXNvffvtt3H0PFyqVFfZBL7tn+Z7zz17/ZF+1v8J+tP7Xytq3JVlaZ++xYxNW0S99ZR+nkqRerlnbwp3EvWLtKB9r/Lvu627z5TLsmDePjJWjtUe5h/OBrbNHWfXIsfUlb+4lNkLb1shq1Uk9CEAAAnsSqM54tQktdd/uhtndJntdFjz70gVQ5NlF1u5s2eu2rZStHaVy2M6eW/u22m3lpsrWxtT9nms5Wa3sRNczfe/xLax7pK+hrpBLa8ym5NhrOR9snVJZPm0QGWFyGrbp6f+wbencyg2Z2HbWPvtpyJ6xZm0pzQ/WrlrZ2hf6l5unsjJN0ny5/gzP+HpgGF+7+mMcDfWYW91FlRUm1N2CaAABCEDgYAKbEufcjrMu7DIZho9Y2HvSXl72mpTty36kG96z9XTirR1tm7Bs7dhqdyg7PLd2hvd6zi2fcJG390rsRN8zfe/xz9a1/hzlq9WnZcumJWa1Xe64pe91t1cSDC2rvFCf5VXr/7Bt6dwmj3anOWyjX/4T+2x/WZ5io33Zey2sj/Kx1w7rw1K+Dzfzqxrz9wSX2weULI8c8xauLaZp3Mlx7Uti2L7B2jNO19pEOwhAAAIlAtUZz06OpbLdUbITYeqb9frxoiz+cl/lpj5StvdFbu6lMmrHXHu5vqfdoZ6aXfZ+2LZ0riylfZiEtLI72veS/T33nuVryibV3RKzYXvbt7Vy2DY81xjV5MfKC+v29H/YtnRe0hm2S9VVH+Se2Bi+elgf5aPY1GNH6MMwPIafq/4K0XV4RtJsbRa24XywzZ/2T/VEd8vLxoG0IWluoUYdCEDg1QSqM5xMaLV/dmdDHNIJOjeB2sXOyk4toiJP64jcI197221tVR9ajrZdqWwXnhwb1Ze7r/KP9F11bDk+09eUnb0xa2VoH7QcbbuwLMmyyBAW+rIy9Zo96v1a/9s2tbLKlGPtlaq7d6ypjj19FL+29Pkw//yc2Lbnc80l3rUxsskfMw8r79KxZKfes3EgsvhioJLhCAEInJlAdeUrTY6SMNudZnXUttFr4dE+myj15Tz3apGXa9tzvUVPj91Wt5VdK9t2ubJwt3JyH5nbOjlZcr2l3lrfQ/ktuqytr/DV6tfyWv+tv7Wy6kodZbdbH9HQ+1aeXrPH2n1bt7XcIzNVN3Ut1N3DukWerWPLod7wvMcO2/Z+y2w4FLJoa5ctW7m5cusYWeuP6LU21co5O1PXre1iHy8IQAACZybQlTi3OmIn1VybcPdDnnXLvVrk2Tqlck6HXLftcvV67M7JaNWVa687j2pv+JGsbad15Fh6tdTb4ruVb8slm+Teq3xN2bXFfyuvx39tpz/jpY9o6PWarNp9ldNzlDfMKte+YZM4lF1P4SQvOdd69lMpvSbH3KuHdYs8W8eWc/r1eo8d2mbt0dplyzV5PWNkT396bCz5YJ/VlzeGvCAAAQicmUB+5ZqtXjM5trSxHytKfdl1yL1a5Nk6pXJOh1y37XL1euzOyWjVlWpvvyEv9oaJVNimxadWe7b4bu2w5dBee/5KX60dWt7iv8qQY6v/uTa2faqca2evbynbXUthoi/LR55XtR/F2/Ftbda24dHKkvq2fVi3RZ6tY8uhrPC8x46wbe+5tcuWS3J6x8ie/rTaWLJf7+0pS2VyhAAEIHAEgUMSZ7tgpoy2O1Gyw6CTpu5UhW30vt21ytXRurlj2M6e7223lR2WrX3hvdK5tbGUTKgM1VNiJ3WtXG1rj719ZtuuLVubnulryt49/dc+kWPry7apla1MrVvrf9umVrY7hCJfkjFJ4OS69JPqtEc7tm2/pnT1slY9e/oodvXakfLl6GuWZW2M7O2Pcpdj60tiRfopbKOyxB9eEIAABM5MoDrj6YQWTnQlp/RjZWljF0xto8myTJKy2NpzraNH+9Hi0V8e2dNutT93XMPVLny1RVL09rB7pu85Jvb6K321dmjZxmgtZrVN7rim79fI6un/XpvsrrNtmyqH43bPWOvxMccwd33PPs/p2HK9d4zs7Y/t61Y/bN/rp2X2URN+WaOVJPUgAIFXETgkcbYToUzu9mUXXL1n64cTp10cdKK18vYsWzvUNpXfa7e22/NoFx27aNmy1dfD7my+v8pXy0/LZ+h7tSU85vpe6vX0f0lOqFPPLRfbPlWWN3qyKy2vPWOtx0e1u+VofdO5wNodzlMtMveu0zNGzuKPfdMZxsnenxjszRt5EIAABITAIYmzTI46KcqErS/7PJ58ZGdf+vGdtNMFVu7bCV/kHvna0+4j7NQdI2WbOlq9PezO5vsrfLXstLwmZrXtM442BkJ9Pf1fkhPKteey4ytJsX1kQPpOkjrRb/tRx/yesdbjo7W7VD57n6vtlq3tP1uWumfzR/pfYkbtl9g5wxsR5coRAhCAQIlANXEuNS7d00R46y7CXnJKttp7z9Znde9d7vWlt/7e9m6R12t7b/0ttr2q7Vl81CRJEiZ97WXbXnLULo4QgAAEIACBEoHDEmf7EapdMEvGpO7p7ol+XJqqs+e1veze06a1snrZvbPv3+Rrazz0MmmVu0e9vWLtzD7uwQkZEIAABCBwLgKHJc7ipn58K88GrnnpM4Ui55mvrXY/09acrrXs3tH3Hl8v/7eE/Ojr//k/6Wfv59i+w/UeJq/yZ2usvYOPr2KLXghAAAIQOIbAkkUcIF/+OILsCMnHqWte+jGs/SMLa+T0ttlqd6++I+qvZfeOvvf6qsmxHMcdyzmZttelT/T8iP45WmYvk6PtScnfGmvv4GPKb65BAAIQgMD7Ejg0cX5fLFj+6QTCpLh2/uk88A8CEIAABCAAgToBEuc6I2pAAAIQgAAEIAABCECg/nN0MIIABCAAAQhAAAIQgAAEGn7HGUgQgAAEIAABCEAAAhCAAIkzMQABCEAAAhCAAAQgAIEmAjzj3ISJShCAAAQgAAEIQAAC306AxPnbIwD/IQABCEAAAhCAAASaCJA4N2GiEgQgAAEIQAACEIDAtxMgcf72CMB/CEAAAhCAAAQgAIEmAiTOTZioBAEIQAACEIAABCDw7QRInL89AvAfAhCAAAQgAAEIQKCJAIlzEyYqQQACEIAABCAAAQh8OwES52+PAPyHAAQgAAEIQAACEGgiQOLchIlKEIAABCAAAQhAAALfToDE+dsjAP8hAAEIQAACEIAABJoIkDg3YaISBCAAAQhAAAIQgMC3EyBx/vYIwH8IQAACEIAABCAAgSYCJM5NmKgEAQhAAAIQgAAEIPDtBEicvz0C8B8CEIAABCAAAQhAoIkAiXMTJipBAAIQgAAEIAABCHw7ARLnb48A/IcABCAAAQhAAAIQaCJA4tyEiUoQgAAEIAABCEAAAt9OgMT52yMA/yEAAQhAAAIQgAAEmgiQODdhohIEIAABCEAAAhCAwLcTIHH+9gjAfwhAAAIQgAAEIACBJgIkzk2YqAQBCEAAAhCAAAQg8O0ESJy/PQLwHwIQgAAEIAABCECgiUA1cb5cLkPu37/+9a/h3//+9/Df//63SdkelXK2yPVffvll+P3334f//e9/SVX//PPP6Muvv/6avN9yUXSoDba+yJTrooMXBCAAAQhAAAIQgMDnEdiUOGsCKQn0s5Jn1Vk6ij2p5FmT3r/++mtVT/7xxx8uaRb99iUy5Zro4AUBCEAAAhCAAAQg8HkE/Owv4V8pQbX3ZOf5GS+rs1SWnWf7+vvvv13Sm0qqbd1UWd4YhPpsPZGp90UXLwhAAAIQgAAEIACBzyLQlTiHrusuqyaM4f0jzlWXHMOXtUd2ne1Ld5vXPqahj2KU9Gsddp0tecoQgAAEIAABCEDgMwjE2WfgVylRlKq1+1acrVsq2zZh2bYL78l56r7dLZbHLXpff/755yj3t99+S8pXefZRjmc9uqK6OUIAAhCAAAQgAAEIHEtgU+Jsd3hbdlltUlsql1y27cJ61h6746yJr7TtfYxCH8HQ56ZL+u3jIKKTFwQgAAEIQAACEIDA5xDoSpxt0hiWWxLFsE3uvIQ31ya8bp9xtjvF//nPf0rio3vaVpJyeVk9YWWRrfelHS8IQAACEIAABCAAgc8hsEvivPa54TUYNTEtHUN79PlmadPz0h1smwRbvSlZer9lBz7VnmsQgAAEIAABCEAAAuckUM0kNRFMHeXxhWf/bnHKDr0mCbPdaVbkel+O4cves2WpJ/7pIxraLqyj1/VYu6/1OEIAAhCAAAQgAAEIvBeBOJMM7E8lgpKc6vVwdzdo7p1qm9rRaxSc2LbBrexpqY29Z8vy83pyro9oqHBbR6/ZY+2+rUsZAhCAAAQgAAEIQOB9CKxKnMU9TSwlUWx5vlna2KSyVC7hs+1K9ey9Uht7b225VZetRxkCEIAABCAAAQhA4L0IrE6cxU15jEGSzfBxhhyC1sQ0116uWxmlevbemmecrZ5a2erSuj078bY9ZQhAAAIQgAAEIACBcxLYlDjbn3lLPVt8hMuamMqx9WV3x3t/VSPUUdJvf1XjWX9JMbSPcwhAAAIQgAAEIACBYwhUs89Soigm6a6z1HvGH/2o2ZPCpL+OIW17f8c5lFfSb3/HOXw2OpTDOQQgAAEIQAACEIDAexHYnDjbXWf7s21HYSglrjmd+kdMpO2avxxo5Zb0278cKDp5QQACEIAABCAAAQh8DoFq4vwprsozx5L0Hvns8TN0fEp/4AcEIAABCEAAAhB4NwJfkzjbxyiO2g3W3eitj4O8WxBhLwQgAAEIQAACEPgGAl+TOEtn6q9rHPH8sT5HzV8M/IZhg48QgAAEIAABCHwjga9KnOWvHB71uIY+pvHsv6T4jUGLzxCAAAQgAAEIQOAVBL4qcX4FYHRCAAIQgAAEIAABCHwGARLnz+hHvIAABCAAAQhAAAIQOJgAifPBgBEPAQhAAAIQgAAEIPAZBEicP6Mf8QICEIAABCAAAQhA4GACJM4HA0Y8BCAAAQhAAAIQgMBnECBx/ox+xAsIQAACEIAABCAAgYMJkDgfDBjxEIAABCAAAQhAAAKfQYDE+TP6ES8gAAEIQAACEIAABA4mQOJ8MGDEQwACEIAABCAAAQh8BgES58/oR7yAAAQgAAEIQAACEDiYAInzwYARDwEIQAACEIAABCDwGQRInD+jH/ECAhCAAAQgAAEIQOBgAiTOBwNGPAQgAAEIQAACEIDAZxAgcf6MfsQLCEAAAhCAAAQgAIGDCZA4HwwY8RCAAAQgAAEIQAACn0GAxPkz+hEvIAABCEAAAhCAAAQOJkDifDBgxEMAAhCAAAQgAAEIfAYBEufP6Ee8gAAEIAABCEAAAhA4mACJ88GAEQ8BCEAAAhCAAAQg8BkESJw/ox/xAgIQgAAEIAABCEDgYAIkzgcDRjwEIAABCEAAAhCAwGcQIHH+jH7ECwhAAAIQgAAEIACBgwmQOB8MGPEQgAAEIAABCEAAAp9BgMT5M/oRLyAAAQhAAAIQgAAEDiZA4nwwYMRDAAIQgAAEIAABCHwGARLnz+hHvIAABCAAAQhAAAIQOJgAifPBgBEPAQhsI3D/uQ7Xy2W4jP+uw+3+2CaQ1hCAAAQgAIGVBKqJ87RY6aLlH3/55Zfh999/H/73v/8l1f/zzz/jYvfrr78m77dcFB1qg60vMuW66Hjma41Pwkc4/etf/xptlmOK29E+rbFd2P7999+D2ibMpRxy1/vh9b365s8//xw0FuQo50e//vOf/4z9pHrFdylL38m90mstayvT6rXXj2ZtddnyS3y638Yxc/2ZkuXHfH67W8vay61jUSW+xGdVftCxl8FBZiAWAhCAwFsS2JQ4a0IriWAqedaF/6+//loF548//nBJs+iyL5GpiYy9fnS516f//ve/LmFWXnoMuR3tU6/twlKSRLU3PNok+UjbczbI9aNeYeyFvst5Sf8a1taXUL+9dyRrqycsn8Knx8+0+7wic+4Zi+r7KXxWY3Y4yjytb+DDmJbrwogXBCAAAQjkCfjZaKJeOLnmzsMkQnYptW4qqU6o8i7JBK7t9WgriEy9Lrqe8Vrj07///W9np+6SauIj9ltuR/q0xnbZVVXG4oe8rD+SVOjrKNttHKRsOGKhD5NWZZA6St3wtYa1lWF9Vp32/hbWKk+OPa+z+PT4uU4xuSJxtrFbG4vC5iw+p/ppbT/WGOgYS+nkGgQgAAEIDEN19SxN0DYBlN0K+9KdGvlYec1LP44u6dc6NoFbo6u1zRqffvvtN/eIgdWjfoXcjvJpje2S1KudkqzJS5I6kSUJo91xlntH2G6TWH08wib0qcTVcu4t26RUfJf+s36K/3JNucgxTN7XsLZ2Kkerw96XstYRXT2vksySnFP4pLvNl8uwIm8e+039sL4qk3Asal1hvealfaTy5Ri+tM6z+lHGtMRv6GvJxtBmziEAAQh8M4F4Jg9o1CbU1H27Y7YmsZHdIJEbJiiBaWPypvrD5MXW1Tq1o20Tlrf6FMqztth7NlEs+WTb1Mprbbf8azrk/hG252xQfnJ/z5f1oZQwWbvspwZrWasPe8e+ytWjcpNj6+sUPpmk+XL9Gfb8emCKySl8LnRQyuZC9eotlRcm1NWGVIAABCDwZQSqq6dOqHIMX7kdZ138pY183Nnz0h0/mcC1rDaEcuxHqfrRa1hHzrV97Zhqq9e2+KQy9GjtDpMze6/kk8pqOa61XXlJkigypE/kmnycqzvQVv8RtqtO0WtfatveC73uAIp8u9NsdUtZ7qkNtg/XshaZGu97xn5ot9osx9bX6326Dzfzqxrz9wRbzS/WszH76f2YAiExZ98ESl/zggAEIACBPIHq6mkX2lLZ7rrZiVg/Xs+b4N/RtpKUy8vq9GsO4y8b6H1pl3tpndox116uq10io9enUK5+BCyyZOG2L/sYQskn26ZWXmt7iVfqo+UjbLc2WD9z122dNeUeuam6a1mLrdr2FbEvvuReapfU6Y19bbvep8fwc9Vf87kOeybN4m9uLKrdr/E57gkba7Vy3Dp9xfooMkma05y4CgEIQMASyK+Wc63aJC337U6NNLOLkVVWK+sOtkzo+rL69Zo96v1UImfrbS2v9SnUaxernM17+7TWdrVDjvrGSI56PbXQ6r2cbyGP2rnKk6N95a7bOmvKPXJTddeyPir2rY21co7XS32af35ObF/zXHPOJ7leGosv9TlhdK3v7P1E8+Ql66O054uBSUxchAAEIOAR8LMR79Z0YifksCwJsyZUtqmtZ69L2d6zZbknH1Hrx9TaLqyj1/VYu6/1th5Leuw9Ww512qRT6uUeBSjJCGW2nJfk2Xu2LHLtuT6aoY8TyD1ZeMOXbRPeW3Oek5e7vkaHbdMjN1U3dU3l23u2LPePin2rp1ZWO8OjbVe6F9bbw6f7TXebg2Mmi7Y22HJod20sltrae7YsOvbwObRVzq2eWjnVvnTNsljznZSSbO5BAAIQ+DQCXYlzq/N2Yg/b2Hu2rD+TpB/pajtbR6/ZY+2+1LV1SmUrNyzbdqV7uXq6o6j3w0c0rEytI8c9XiV59p4ti97wXG3JXS+10ba9x5wuvS6Jyp4veTOosu0bG+kv2aHURxVyz8ZqWzmGL3vPlo+M/ZIN4b3cubU1rGPv2fIzfbI2WRts2dZpGYu5tiLH3rPlZ/ps9Vrf1pTtm+G9x9Mae2gDAQhA4MwE4tU9sHbNBF1qY++tLVsTrQx73ZZtnVLZtgnLtl3pXqqe/Ya+3A/fHJTkhffWnKdsUjn2ni3LfftRttaXY1iv9Z6t11qu2SD393zZX9Wwsq0d8oiK/ZjbfurSysbW6ylbX207e71U3ruNlbe2bO21Muz11rJtb8vavnUsptqqDHtvbVllydHKsNdL5TVtnimvpIt7EIAABN6ZwCGJs00qWuHYhaBWtjK1bvicdaqO1s0dbZuwvMYnlWHb2iRL74dHta/kU9imdG71l+qF92wSKQmHvOzuVMq+vW23Nuhur/0S4t4fLVv/xBdJmMV3uW4/0lY/5ah2CZ81rK2sWtn2kdZN9YOtZ8vaRo6tr7P71OqH1LO+lMairdcq37Ktla1MrXt0P4pOiWfRE/a/2iB+84IABCAAgTyB6uqpE2o40eZF+n9dziYVpTa5eyX9NoGSj0mPfOnHsGJPj0/2I/3SQq22t/pU4qKy9LjW9pQtNpENvxyYqq822GOP7SmZ1h9N6K38sNyjT9paH23bVDmMO2ub2L7lZfWFclJcwjqp85LMVH25dnafcnaH13vG4tl9XtOPYV/qJ1/20ZVwTIcMOYcABCDw7QQOSZztRCyL1ZZXaYGwC6EuAlt0ldqu9ckuwNYXW7Z6W33KtbeytLzWdmmf22W1jzGoniNsF9k5hi1vRKR9Dyv1pSd5Fjs0gd/CWnXrsWR3K2uVteX4KT7l4ijF+VN8DvtdPjmR55itz1ru2fEO5XIOAQhA4FsIHJI424+7t36UrpO6HMOXTW5E55GvtT7lFqmcX60+5dqnGKy1XWVJEqEfXcviKuep1xG2qx6RrSzFlp6dsR5Wqk+OsqsrSbH6LnLEBknArD1yXd9IbGVt9ZfsbmVt5a0tf4pPGj+Wa1hWRp/is/pjj+KbxLXy6B1PVhZlCEAAAt9GIM5GdyKgz9EduYvxDB0WxzP0HaXjKLnP5mP1naGsCYgkI/r6RNaf6JP2V+74jT7nWHAdAhCAAAQmAoclzvajZJtU7Aled4tE1zNe7+zTO9v+jL7dU8cnsv5En2p9/o0+15hwHwIQgMC3EzgscRaw+hF37qP9LfD1GUTR8czXO/v0zrY/s4/30PWJrD/Rp1pff6PPNSbchwAEIPDNBA5NnOUPSMiusHzkufdLP0a1f6Ribx0pee/s0zvbnuqLM1/7RNaf6FMthr7R5xoT7kMAAhD4ZgKHJs7fDBbfIQABCEAAAhCAAAQ+iwCJ82f1J95AAAIQgAAEIAABCBxEgMT5ILCIhQAEIAABCEAAAhD4LAIkzp/Vn3gDAQhAAAIQgAAEIHAQARLng8AiFgIQgAAEIAABCEDgswiQOH9Wf+INBCAAAQhAAAIQgMBBBEicDwKLWAhAAAIQgAAEIACBzyJA4vxZ/Yk3EIAABCAAAQhAAAIHESBxPggsYiEAAQhAAAIQgAAEPosAifNn9SfeQAACEIAA6qRtQwAAIABJREFUBCAAAQgcRIDE+SCwiIUABCAAAQhAAAIQ+CwCJM6f1Z94AwEIQAACEIAABCBwEAES54PAIhYCEIAABCAAAQhA4LMIkDh/Vn/iDQQgAAEIQAACEIDAQQRInA8Ci1gIQAACEIAABCAAgc8iQOL8Wf2JNxCAAAQgAAEIQAACBxEgcT4ILGIhAAEIQAACEIAABD6LAInzZ/Un3kAAAhCAAAQgAAEIHESAxPkgsIiFAAQgAAEIQAACEPgsAiTOn9WfeAMBCEAAAhCAAAQgcBABEueDwCIWAhCAAAQgAAEIQOCzCJA4f1Z/4g0EIAABCEAAAhCAwEEESJwPAotYCEAAAhCAAAQgAIHPIkDi/Fn9iTcQgAAEIAABCEAAAgcRIHE+CCxiIQABCEAAAhCAAAQ+iwCJ82f1J95AAAIQgAAEIAABCBxEgMT5ILCIhQAEIAABCEAAAhD4LALVxPlyuQy5f7/88svw+++/D//73/+SVP7555+x7a+//pq833JRdKh+W19kynXR8ayX+Cn+/utf/xp1yzHlv9pbOj7LZvRAAAIQgAAEIAABCOxDYFPirImhJJCp5FmT3r/++muVtX/88YdLmkWXfYlMuSY6nvH673//6xJm9VuPof96vXR8hs3ogAAEIAABCEAAAhDYj4CfjSbklpI/e092Xu3r77//dklvKqm2dVNlSVStfCnbl8jU+6Lr6Ne///1vp+/PP/8c1WnyLnaE/qfs0V3ylrqp9lyDAAQgAAEIQAACEHgdAT8bTdihyWmYuEpVmzjKrqt96W7z2sc0NMks6dc6z9h1/u2338bd7ZCD2hf6b1lIWW0VObwgAAEIQAACEIAABN6PwKbEWdzVxNEmlHa3WB636H3Jjq7IkyQzJV/l2Uc5RGfuZWWUyrn2petWXq6e7DBrvTW77zm5XIcABCAAAQhAAAIQeB6BTYlzbsdZE19JFnsfo9BHMPS5YU045Ri+7OMg+vhEWEfOrYxSOdW2dM3qz+2s6xckRW/JxpIe7kEAAhCAAAQgAAEIvJ5AnI0GNpUSTXvPPrdrd4r/85//BBLLp9pWknJ5WR1hS5Gt90uPQGid2jGUXzvXx1FEbu4NgtapPcpR08V9CEAAAhCAAAQgAIHXEtglcQ53WzVZlISy56U72DYJtsluSpbef8Zzzla/JviiP6fb7kjbNxZWDmUIQAACEIAABCAAgfcgUM1sNTFNHSVhTiWEtm6Iwd6zZaknu7L6iIa2C+vodT3W7mu9PY/2mWXRn/staf1CoNQpPYO9p23IggAEIAABCEAAAhA4hkBX4txqQimZtfdsWX/uTR/RUF22jl6zx9p9qWvrlMpWbq6su+IqJ/eIhj6rLfVyO9I5HVyHAAQgAAEIQAACEDgfgdMkzpqIthwtRlvfXrdlW6dUtm1SZftrISInTPJtGx7TsDQoQwACEIAABCAAgfcncEjivOYZ51JCG96z2PVe+Jx1qo7WzR1tm1TZ+pV6RMW2sT+Vl9uVtvUpQwACEIAABCAAAQicm8AhibM+diEJau+vaoS4bJIb3rO/qiE6j3z17iDbLw9uZXCkX8iGAAQgAAEIQAACEGgjcEjibJ8D3rrbWkqcbTJbemyiDUW5ln0zYG2yZStBvuSo9+x1yhCAAAQgAAEIQAAC70ngkMTZfjFuzV8OtCg1+ZRj+LKPQxz9F/lsImxtsmVrX+66rUMZAhCAAAQgAAEIQOB9CMTZ6E6260+xlZ493qrqGTq22kh7CEAAAhCAAAQgAIHPIHBY4mwfozhqN1h3dbc+DvIZXYkXEIAABCAAAQhAAAJHEjgscRaj9Vcojnj+WJ+j5jeSjwwPZEMAAhCAAAQgAAEIKIFDE2f5i3qyK3zE4xr6mEbur/apgxwhAAEIQAACEIAABCCwB4FDE+c9DEQGBCAAAQhAAAIQgAAEzkCAxPkMvYANEIAABCAAAQhAAAKnJ0DifPouwkAIQAACEIAABCAAgTMQIHE+Qy9gAwQgAAEIQAACEIDA6QmQOJ++izAQAhCAAAQgAAEIQOAMBEicz9AL2AABCEAAAhCAAAQgcHoCJM6n7yIMhAAEIAABCEAAAhA4AwES5zP0AjZAAAIQgAAEIAABCJyeAInz6bsIAyEAAQhAAAIQgAAEzkCAxPkMvYANEIAABCAAAQhAAAKnJ0DifPouwkAIQAACEIAABCAAgTMQIHE+Qy9gAwQgAAEIQAACEIDA6QmQOJ++izAQAhCAAAQgAAEIQOAMBEicz9AL2AABCEAAAhCAAAQgcHoCJM6n7yIMhAAEIAABCEAAAhA4AwES5zP0AjZAAAIQgAAEIAABCJyeAInz6bsIAyEAAQhAAAIQgAAEzkCAxPkMvYANEIAABCAAAQhAAAKnJ0DifPouwkAIQAACEIAABCAAgTMQIHE+Qy9gAwQgAAEIQAACEIDA6QmQOJ++izAQAhCAAAQgAAEIQOAMBEicz9AL2AABCEAAAhCAAAQgcHoCJM6n7yIMhAAEIAABCEAAAhA4AwES5zP0AjZAAAIQgAAEIAABCJyeAInz6bsIAyEAAQhAAAIQgAAEzkCAxPkMvYANEIAABCAAAQhAAAKnJ0DifPouwkAIQAACEIAABCAAgTMQ6EycH8PP9TJcLpfhdj+D+djQTeBxH+73R3ezZzS43yS2rsPPgeY9Q8d+rO7D7XIZLtef4RgkXz6eDxwLp4uz+224SixdrsNtHP9z3z9tIj86lvcbdWlJ725/2qu3uvryGH4rWocZe7q57TBP84L7EufHzzz5HrmY543lzkYC96n/rkdmphtMfMaAfIaODQiCpk9YrHVMPy2BClx81enBY+FccTbH0Zg4Txsfsvkh/543Fzwhlg+NpXe3/1A4TxB+hhh+gptvoOJcc9trgHUlzo+f67RjcZuOJ82/XkPyHbTeb09eLPugMCBDXk9arMe4OHanP/Ts5ecnHwu78pnfHI3vjR734Wecv6fNj+d9cPikWN4VnBX27vZbX96wfIoYfkNuB5jMOj0MHYnz/NGefGw8B/HzdisO6P1vFHnyZIEBGQYli3VIZLfzk4+F3fw8jaB3j+V3t/80gYAhb06AdboncfYWGn028ja071g8hvvtujzqIR8T3n6G8HHbfKdkJq7HfbhdZQfcfAR51ef4yhE66boN98fPcJuf3b7c7uZ50tDm63D17qv8sF7Jt4mZsHA2X8UGlWWPablx1XQ9K3Py1TAKnyU+Acdk3/fYFdSV+ApZJXUMaX75to9l107i7nodfixs7cLAnrG/c7EZ1J3ibP+YV9OGQF/RNtfIFIL2KdZj7aBeTk91LDbKSekMbauOhSge0uO+ZLMXZ/o4jJ2jvHKw27+jr67HemRG/k/zWTgenOywEOgqxnKkK806VOHOI13xmB/rBvVycZiqW7S/R64zOigEMsJ4XWo/Z55q15/uKzcuhmFc80fW4zyZWeda/Q/qFfswiqttMXykrq28crZ1y42Ylfo3mLOWIP2KUvOOs7cQDMMwPbbR/iXBqb1N3LTsJ9+hnqUXEknEnMy7gektRnXbVNdVk2bvmT9JyNXG4Bh8WavPt9vwMz7yEsgME9mhoP+SYhbKk/OlXmyjCfxTcVxpVy45SfaV0bEL54m995hwD9Oc7bdb/OXAHrnL4PFLW2Xk7A1YDx16imOxQ87QYFtxLJTiIfCvZLPeGx9ny9nk5isTjzv7OnZ8j8yS/2Y+8QPKnOV8TcVySVfA2mhYijldYdse/3MyU/b3yF2s9ks5faEPJVZBv8Tx7a8N3jy1h/7A1kl/4zrXqr+Ldfva6XfGfPZMXeObi2mtbsoLOmzr6odSfCX718xZSYiffbExcU4krRrw3ijMwdL29h2nvHuOE47pWqpTVIbuKOiud7jbt8iV3ePSS/WPCWawnaL3/B3m6R2/JOrLYypqV6tv4rPdEV9k2l9PUP1yzW1myvOJmsw739r1ayKz2C50zsJRdicmNtOz8312KS/XX4aVQ+UmqSW+tF2ds9o327h0iovjJd422i69Mn95bdpN2C/m9+zvMut1DOKxuE5O2bYxEJLP+2s8uPbjBLKMUTt2tG5ss8bKEmfxPLTMU4vMI3xdJ7NlPMQ+qd+yu7d8cpeO5XRdiU/9NG7hktKUaJ8c8+v8r9vfJzftQasPS72Wflni0q6NS7wt89Qi1/mbZJioNzqU7iurf/oFF6m81BUfdLnVumX9faxVZguruF+eqWvS7uyt5gUrbavKXdO/pbktpvppV9oS5/ldjj+RmU7UUZCjo0m2vDOu1J2CKNUpmiAugy6nzu062YwpUVkD1vdLKs66ku1nv3Xwd/tmk241KmQ56w92EqbaQd0O/enEWW1IHFV2ksNSfxeOiaR20RCUIrsysZGIWz++Ojg7+xL9F9kT2GtPo7oZ26WN7i5orFk5YTmSG1ZoOG+SkbE3wTqrMaEnH0NZKfKx1/Tol4vPDtuS9s7tnTyrOxj3pXhw91Lz2CSz298tvlo3bDkns2XesXJcOcNf7kex3MfaqXCFjK5kv7pGfiHnf2q8Rfb7oryzSK5315y0+jDXa+yXbGxFdnXq3zwugrVL19mQ9x592MjKdEa9mOO3UVe2v+ymViVviudCkwxHv+KQ6Yeu/s3PbXWQ71+jIXEOIS9O6+MaceK51JlKKmPaYR53bMfnm+NomIIo1SmZQS4KHo/hcb8P95+f4Wafow4HZGBWVpcOEPdR6mL38liIPgaxh2/Boy+qPxnIQV03uBYb5Rm1+yNmq4tXtr9eylEHeqLva3ZVeNlu9/q80k7jW7vBa2uF5haAltgsLRJqXyqOa0w8+zIna2SoTQolI9q73KAnz9ZIqsnpsS3FXds3jftCvFYSZ40ru/NnvJyKe/qqwjfKVLuzXZ9i6nTPb3I0ljtZqxh31PZZY1zNpVDzv8f+Rerq9SeV7FixrlzxNeyX/FgK1tCK3Ej/DuPCs7VVvzOkYa2vyPT0W7mpci1edtKV769wrTdG1mxrnIPG4aN+7NC/xsKPLtYT506oeVrBF6q0k6437w9e5IMoGPSiaPyywJIwLkntfE0n6YxRWV1NPtsEr8c3Tbh9o7wBrfozi4JXdxTTpj+bOJ+EY9QfrXZVeFnSno5Ku5Cz19YKTSXOrbaXFustcj37gpNW24Jm42mFmdekQ0+ebcc477EtxV3b69yUPC7jvmRz7p7GlP24ehUztTUzRxwhU23PqkwxdYYE87fan2Ssc/rC2onRgrbPGqMVO+Knx34R3xHfxpql2OpDpV7YL7nYc5+k6rpYkesM1XqNfTXp377OOf1SaGWttmbiImTl6dCTZ+pyCW4Drx4OPXKVWVf/FsamcvzgYzVx1kCLktIAciZOE+ge086w/SUMHciusxOdop3r6pqd3uttuMkuq+w6yzuxqG7CjBZd7U7NClp8axggan9G/zQxpb78WNafTpzPw9Gf8DvsqvCyve/pqLQLOXttrdAowe2wvWux7pDr2WdPNsqoMFs09enJs+2Q02zbOPjjZ5x72pfmj9y9ua+zSbP99Kg2pzXbuh+/cDwsfT2XemK52f5Iy3ShuX2H/z329/RVxoW9dpzDfsmPpcybl8w648xuZj21mPRvX+ec/h7WFVtDVosOLXXEy2Zdnbx6OLg5aM9+sPYmcjRF+AXHSuKsQZSGP/LRxaA2+JIw9duvi/xsYKseTZxLQRvWTeoufdQ6TzDJZ5cywqLLHb65AaHBWNKvfaJ1I8XzhVh/MnE+EUdvwu+yK1gQHJL4uqdDE95kP8ec/bZOiUxR/q9f7GL7OPNNP1m4Y8wXF+umcRP46jAE17sYFMZil5zAhpxtcn321X9saW6fjAcnzBXy8ZDwR/0oydY6qbk06ptGX9fITNoYjwcHwhVyNi28lzcNfaydClfI6Qqur/Ffx5vTlbC/S64VZMuBre5WeH0+b+yXfFxm5Eb+Zuol9TujXWHSn97Ymb7crmtXqEdFBNe7WM9tk7Y2xPAzdc3uNvPqsk3noI5+SDLTPlmO+fha6nx6qZw462SdmsgdmYZgVDn2FyLGT1+C597kmv5Um6mb/Fa2BpF0tnucV3Zc7e8jl79IWAoADWaZ6Bf58onRbfpCkk42Hb45mfLTc06o+bax4ezqWv3mG89uAerQn0wWzsJxXJvkI9p5Uu20S3m5b2eP3+KePvK1ydFUTyfuZXLx+jnFObTPxb8UMhN9Y2yq7fLMq4byUTHvEudG2zw35xO1t8h6Vf8t/eL0rpJjf9Vh+TUBGwfJseD6eP6retoZ41wVjHtXN2FzeM/5kK57qK9Od9s8qX3bMh6c3abg2tdi2TFqY21UuKLq2j8OL8NTxqJhUPTB1Gvpl4lLKtaCecrIXaW/OC7mubxxnSvqf2YMP1PXHMkax+PaV+K11ra1+Uaxf1Px5YbmxxeKibN2qMnnkkA02fUWJq+mJtf67Jp/9OS74PDrXOWLf/J4iCasbpfWr+c9UuLqesa4k/wEI1X0nWtKvvycnIpp90312d+NXuxddt0nybpjnNa/fFG2Xb8mC5NODfxy+7HuUzhqErvSrkzc2N+yHnvV+8m7uZ/1J/6Cx49cEj93tfbfwn6+obHiOPUyzcRa9NuxvXLVPnvcQUYT6z49ebZ9cpY3BuG4CcaXvuEc+1xjTjhl+mKut4z7MF4tY//e5Ftoj38+yT3C106Z4n/jePA91rMMvyiW+1irdO94QBxm+z+yv5erZ/ly0uSDVG/vl/xYmvvGzVPjTpX3R8mK61E0P2oM2/Vwif2mda7J/17W7ayWjtDSM3VNOrW/6rz6bGuXO8dXZ//G66Ay/PxjIXHWCTBYcFJMXPCX6k47q1fbOfLFQPcOywi2f8lPfoNw7KHEoJfk2f4Fvov8pRvZIdbfO7YLopE/FzWw8gEQ23xN/pW/uN4l4duib6qvk9Rkc2yf/vblwkz9C+u26Vd5qndJAs7BceGj/nXaNX6pY/nEIfUXsGIdoivkl+acbivtd4hNiVkTy9MOzA5yFaV37OTqtZ1PGlgLV+uTvBHJjc88W9HXLme0rtE2/b1gGQ/LWJj0RX/lNDHuSzbbe1NZk4z0cdF/jK+t/TD1btt4mOom/m+O5XbWCS3Tpca+7vK/2f7Ovso50eRDipWOJ1+wjb3gTrD5NN9drf8ypNbDRX/jOtekv5f1lhh+pq7ljcbPo4VXu23d/RCtg7X+9aPrm84KifM3YXiOr0sgP0cfWiAAgS8hMG5elDYuvoQDbr6cwOp17ktjeDWvSk8fJbei9itukzg/sZsJ5CfCRhUEvomAe/Sk/CnbNyHB19cQWL3OfWkMr+ZV6d6j5FbUfsVtEucndjOB/ETYqILAtxGQR9wuib9s+W0c8PelBDatc18Yw5t4FXr6KLkFlV9zi8T5iV1NID8RNqog8CUE9MvZ8qx26rn+L8GAmychsGad++YYXsOrpauPktui+9PrkDh/eg/jHwQgAAEIQAACEIDALgRInHfBiBAIQAACEIAABCAAgU8nQOL86T2MfxCAAAQgAAEIQAACuxAgcd4FI0IgAAEIQAACEIAABD6dAInz0T38uA/31B952aw39ccxNgvdXcCrvqCwWe9h/bY74o8VmOxD748jTX+4JFnvY6lkHCNeM2DOefmVMZvUfVj8vMc6dc4osX8c5QkWJubWJ2itq7jf5r9uKX+h8jH9QSz566bLX42qy9i5BonzzkA9cfefscPzf4rcq9158h4TUnKS7vR0TfVNeg/ttzXefGebuA/nmDd/fVTmzrjel/EiXt+uw18Zs5HuQ+PnPdapswZQ1FeHGZqeWw9T1yw4tkv/8vExeVWbYSTObZzW1Zp/0P2YDn6PCel5A9/vok16D+03307OOgiMf1nsMlyuP4PsO/CaCRCvbxcKm+anvb09NH7eY53aG+nbyTvr3DrbNW4uP+7Dz+06jInz9We4vxAyifOR8JmQXrYbuGlhOrTfjgy4D5etk/sLP6I7JWHi9ZTdUjJq0/xUErzm3qHxQ+K8pkue3oa5tQt5NXGeBvhtuNvnX253s+PzGO636/wMymW4XK7D1bs/2ePkDPLR6vyuQT5yvYps32ZXd6POYQhtm/5AQKhv0h7WLfkhf9b2sbz7Gf24Dj9G8OSD8NB/wZ/CfdyH29VwmGVMz/D4PIag7sQ3NyGFfrT9UQTHvKF/1vEyPgX+TO8g9fklU6+r/2y73Mf3IZu4j0v95hjl4vIJfvlehmd1/6YWYb30uHD+7hwTow0Bq9Qf7pj0T+Mm7pflGTdbzxFpkJ+yIxeLlsXjR5+588eWvS7z2k8wr6XZxzEo9RafNs4z0RhK63PcTKHVhqVJOq6SGJZGphS2T9g6J3nxpw7zfHgJ5tlG//foXyujbY2r2erHlwGVLzbE/dKvGme6Rk3rtxe3gbzc+BgNCuoesU7lHVdfbuNOZI3/JCeMtxzvdD2z3M9mtdWz/H1/4jU9X9dvGeYIxX4Kmk46bAxU5taxfcnW8pzl1EfxkvkkMahX9i3dB+1zkLOuWGhMnK/DVR7GnpPA5dEDSf6W63p/csyHMHXObfj5CZLFUaY/gWiw7KMzZd80uBYyvX6kZE7XdDMsDkbjo07+Lqn25amM0T59JxjWvd3GP6/rLyAFPy6hz4v3Uurpn2Eo6Ak+Rte+dJNxh+8xQ+VU9mXxxzBvtDnWuchQX5Jx+SS//F6zZ719oizt0ec6+ds2ZntiYsjFdCF24n4pTO6N8ofuPsuwkI2Chnmth1HSXzMH6BwR11vitUefjSQtx7JtrExfzNS6RV2VuWeS0R+/yzqk81f458Z7ZW7r34lXRkaQ0E91G/uqiZ98Z2r6To23DkvMdI0rY1PH+Mjq3nmdWuItLvXw74nX/DhIzZf+GJn6IlXPcHaulJJRVyku9PRT3Hpe+wO75wkmjlMVkLM1kJOYs0YJjbHaM0f39Kl6sfbYmDgLjNzOsLxLi3egJWBSE5vsSC+7qtO7gzDRXgJ1i07tWCtD9E0dqwuPgNNrvX4sO8yLXO+bnnNAWw6yC/4zvtnwd6in3fE56IxxKdse85c5stzk+R99iyXPBembGyM3DBjV09M/7bx0kujxvb3/Ql+WPlW9fX2sg9Xvt0VGPBae51fK18XflrHYzvXYmDC2mhi1ITrpX/rQLc62khu/Sz2128VnUn5Pn9m+N+NWdkLcwuDPazrmrKmRXWNnLnOgjTetK+Nx3Tyz2Ow4FPSl4qrHBld3xdzTF79j7Zn7nJBo4pBMEE2cFfx39lveK/u3fQ6NY1aS3N65W/tOfXD9nYx7jYtFd3q+Wzc+nG7J4w9Yp9TX1FH9b+c/vako826dL1vrJfg7Z1TGsuk4+WT6ytXVQl8/aavoqImsnbASc+vSLmer5DD1OUv7ysVLMlb7fFOZW8bQ4l+51Jw420l9EjmDC0BP92aHzUSmTsVyDJw52cvX7dCpgZBI+H0kHTJdIPlvCkZ5qs/ySCbOvnbvLJIRB6erHy0Wc93k7kTM2MmZC3nmYds1vEoDfzYg9F3Pq/0XejKdT/6o3j6b0wuJTniJvk+bMF1VPzQu9HylX2lVHf516D8mJmZbzdww+pQYK34fmh01ZTnD8Ou1y0+zTOtRFoFqt9MczWuRPx19tMs806cvxUJ9jnzTGHIwZl0r555xp0jegDh51pp4LRnv6vynO5rBjm6vTPU1NEE/SYgYRP1bmh/COVTrBvPTan5CpD3u/fEyBtv4aXLko+0GW871fzimR7Nu7stc0/K+NVasIX5Z+zD2I+TfYYP6WpuvW+u5sa19b32I+zDqK1u9VlabwqBOtcvUzevP2ZpYHyPZcdvRpMSYSpk6XsvJ3DSGstqiG42Jc6KT1XC34zLvlnrny0cU+Q6QT5imxze0f7N1u3TqYFnskuco7w/dip1ZdMkMJzzLMxEMtUB4PIbH/T7cf36Gm31OXCegUnu1W+vquUK0po25gM84uD3vuif6OWyrerx+XhiHH03l+7Liu9uZX2Qn+y90ZD739HbaXE6c04ycGbU+3eiX02MLXf41joviBB+M2R79WjcTp9Ytrw/lRqatVy9Tx8qNytU+y4/7cO5yssOxq3ZtHTepBCnUZVk16nN2m4LH1VyPkjT1LdOnWUYqU9t32jrZN80PUbLUKTPna9b2BPOcDHEzlOPVVVvX8psUTN8zyshQ1HL0dE8XyolzbXwkWDh96ttO65STmyhEfpk6Hn+1KcPKq9s8X+8xr8Y5RMkn495UrPVT1MBcyDDJ6++xNaib0WWsiYs13yoy/T6NxfdeOThxXpKMqQOWRNoaGjqV7SyFU5xgF53jYxH2i4jazn5xp1Nm1rbWBU0cHx92XxLCKdk05zrJlCakUJ/60TQZWPpTubl/VI+yTB6XPoh4tfo+mhV8yUB12f6LXRmveHo7bV6VOD/Jr6S7vf7JYlAbF26BbRizPfq1biZOrX9eH8qNTFuvXqaOlevKHX3m6XAC4oTI3QrHrtqlMZw8FsbNIjj+bkOoS+p26nPiTSHn82sS54WNM3H2e/xoONgP6fU/52u4NoW6bcI+yWgYL25szT5pX2XGRNYGZ4zp74wMWzXyNRU/0qB1fOTaj0r7kqYmX60zptzMv5t323zZlG+EfW/sj8ZVsa5p2NpPpklUzDCJYsU1DPq1aGtQN6PLibaFVt8qMrfElTVHy9sT54aBKsqag9rVTUyUFTjqVHx8TLu69lcsNDntlNkTSOkEzLwzvd6Gm+yCy66zvKNSW9S2HSekye7wCz0Lqeb+URu7+l37ssP3xTSZwfP959VbTrx+6rQ53W8aw+rLomucMPU58lqf2mYr/PKa60mvf9quov+QmOiw1etDsTnT1quXqeNcdoW+WPR0OBkrEudV48YoDN8wy63UPNHMwcr2yzmfowW+omuSk597cv3qWxOemf457t3eAAAJyElEQVSTNyE6Z2q1ik1aTY85X7MLboL5JGP/xLnKT5zo8DfyNeFL15yWbO/I+m/0KnY2+aqig2Mz/9U2tK5D5XoRf/VD7TKxnK2rbeyOeNfa4wRMBdUdzE9Z/Vq/yda1ibMZ4zXf1J7AfvVy8qMwB2nFxuP6xFkn8OQzJbH2vOEKZ0lIsp3VqTO2Qq7oN611gps7tcuPxdZFRxAco6rp+S67K1Gc4OYJaFkEEjJVYa5u0o+YsYrRY3v/bOBVCu7IH7UsPIb9F96fzv0Y6rM5mYisfUO3s18Zb/0vS6UrVa7GXI+JiVxMx9f9PswnB369WM4cEe0LeKLPfB0LyvbEqi8Gc/qipFVMme315pkd5sp2G0q+1ece51Ny7lpY25JyF59tealTsmmppaWcryo7Wo8TzCcZqcU5ZuDrK9kat1Wb/eMswyQy0/34uq87Ez9dc3Wsw9kWjaU9fHXSvUI7/z1siOdLzxh3EtfL2hmxKm3WzAq6+skZFRcycvaxNYyP8FzNCa5nbBprR6z26FO1o37ckDhrpwbfTJX1Tf+2uBnE2gHxNy7nn6czM9NUN5Wcdug0YN23ZkfbfqZnwVK22W80F/1I2RZ0urCfbfAWNA0GWSTcx4vyDtX8TF/KNvPLJau/rWzkhqHR3z89/T7z6vG9o/9CXyb08ujL0k/Ov4Y+TvZbS+Lc0qcb/Ur5uvjb0Ccd+h2z6FvSuTHboN9xtL92sPwqjR0r0Tyg8WPmisX3uK/dN7bH3/INnoVVWS195mxedGg/rEmsvG99HzXPOJvb+kT9sceIv7sZz3UuVuz4Mt+UXzYDnBCvkGyfYeM2H9x8poum3z89MnO+rurf5vGy2Ju0tYOfwFQZxbh39Rbdyflu1fiYvuCpy9oR65QXNMGJ+t+eYwRjI8W7db5srScxrWu9GStlVqavAp/dWGicx8Lm7lz7O5hb97E1P18UY1VtavTN9b/hKo8b6S8c1eYgx6KhsClxXnYKzPO57tk9+XmmxYLJKf/3oJdne3X3d6qvdd1v/y5iZNjPu2s1nfpOPVUv3BVolamTUyqQ4+DQCWnyU9uU7RrrugVBHM/Ypt8mD+vqIwOuH9R/1e/BdCfK3P5Gca5/sjaNOtP9PvVlj+/luja2nBOmoP4sMZThmLA53W+lvi/b6vdpua7nl04c3kXjpFds9a9dvzLcOyaWyV5jU4+VeSDDQ+10fa31ojFg5Zc5+H2W73tdWKIumhdS+0Zg/bixHd06z0ib1piw8pdyxNXdStggulbOPZPYVlu134L5zCQumrj1+J/ztad/VUbLeNG6LmY38xszMvOHyHRMydHGfSKWld08F/bP1dKDmf7buk7pWI4GmAtGV1CmLfxHe5viVePN8lzKi1mt9fL9dJUfCZA+MGu6+rTEiXN3LpT1hvNY2Nqd5zjr9WAu7bM1MV9k5Pqx2uvb1jnI0agWNibOIn/6HdKrAXvN/jVAmeyW3y2VTp1+KcG3syVY/L9WeBlSOlO2jX/Ra9nqNYp7/TBNx2IiOGY2Y/BebLIeftlA/kKW/OKHvjsKFgW5br7MNb1LS+kTQ0I/VHZor3++MK/3z9Qy1JPug0Wu6uvxPdaR7z+VPx1jvXI9lleKm7Df0jJV7wF+6eSyzM6qLHPs88+O2RTXxd9JrvJIjdnJoFb90hUyyS2fsojMJeGZpC36Z3czPKJ6Ur1BvsSDHVeyU5Ubh0kdoib4RaDZUslOMr9U0MYop88lKGZx1bjW/vHDpU2fs9sU+mwYoSf+iqz5XWIjO12s26q8/Tckk7TJ3vDnsOoypXXOV9XnMx0bRP27yJh0an+kxstS15IIbdV4tHUq5Ya4j3X79i6+to+P0aoj1qnMmE9RWPzy/Unxn9q38g7rSXJ7M7+vrta01hsnDvNG8zrcxsw4XtMXn1RH6tjZT0kRP/lfZbF/KVf+Dke3rbFfowkNsdozR09uhX2wYgyl+ATXqolzUH/1aVsArBZPw40E6J+NAI9qLgnYspIdpSUpl5hIYuEiBJIEGC9JLNsvNs6B8N+O+iUSxjdH/qciL7GjQymJcwesT67KpHPO3pV+Se2uPcNaYuIZlNHxKQQYL8f0ZOscCP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Atuar apenas como incógnita.
Relacionar e traduzir.
Manipular e justificar.
Relacionar argumentos.
Traduzir e generalizar.
Seja E= {M, N, O}.
Considerem a relação em E: R1={(M, M); (N, N); (O, O)}.
Com base no que estudamos podemos dizer que ela é:
Apenas uma relação que possui a propriedade reflexiva.
Apenas uma relação que possui as propriedades transitiva e simétrica.
Apenas uma relação que possui a propriedade simétrica.
Apenas uma relação que possui as propriedades reflexiva e simétrica.
Uma relação de equivalência.
Seja E={1, 2, 3}. Considerem as relações em E:
R1={(1, 1); (2,2); (3, 3)}.
R2= {(1, 1); (1, 2); (1, 3); (2, 1); (2, 3); (3, 1); (3, 2)}.
R3= {(1, 2); (1, 3); (2, 2); (2, 3); (3, 1); (3, 3)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade simétrica?
Somente R1 e R3.
Somente R3 e R4.
Somente R1, R3 e R5.
Somente R1, R2, R4 e R5.
Somente R2, R3, R4 e R5.
O aluno precisa ter habilidades em manejar matematicamente essas equações até obter a solução. A letra aparece não como algo que varia, mas como uma incógnita, isto é, um valor a ser encontrado.
O problema é traduzido para a linguagem da álgebra da seguinte maneira:
De acordo com o preço cobrado por 1 pastel, em uma lanchonete, verifiquei que com R$ 3,60 posso comprar 3 desses pastéis. Qual o preço a ser pago na compra de 5 pastéis? E qual a concepção utilizada para resolver a situação?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+
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+
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
R2, R3 e R5.
R1, R2 e R3.
R1, R3 e R5.
R1, R2 e R5.
R3, R4 e R5.
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qI6LZVclmhXFboOswDKfN4Pcadc5a/kiiwdPjyOT5XAO86NT60e98nz2vHY0hsv+YUt4h9Ce1wOmvjlLRZj/O52Kn9tbrZOeeKvRAu6WwPcdz2eFXqyWGavQNNSlPxVfbaZuG5I6uLOe1yTWHnZOv9+3by/Ow6uZVy/d5Hx51dSlKGwNxyUeZOfa4kdTgvSlcy8/IqrBJjbWHst9y++LcTby7QOHHtFQf3VbMNT6os+e+2hMHLBaN60CHg3WOnUh/Zoz7YIWJs9ds2vj89sbH/TTbuKwITtnvbK5XcTpxI/ddi/FdlJOGTusUXkKTdAU6cEI0+s/tOv/jqX/orXTK24ouTlHsaJxaeWTqdwdcwqbGMWYoj+2DnwPeYyjtyXv65nQGm0t5KfJ3O4IteCfsq5UqTeD1rs+Ad8cbBlIpRA5cDmSUcZYPd5GYx26eMRZ5wE4ffmd3bWL+PI6JtjrMsXy+dviheu2wxC6jGuwobf9FKqLTm7jFqHS+sED95uQP7Iyw0xjx+S97k4pSTyzJOsbkhr8h+1kcF+fqWX0KlVyf4hE/jkJio745rH862GS/WeeqjzO8C3iYnmJU4WR/2P3ezG5yMYaVc9l0ui3VJHMQYQLJqzkUp3Hnf9opEME5xHom41/qcyGey2fld4IvmFOPHdp9y6Fab/TmafTic79TqZuf2JeuIv0CoxuxKPTlMXf5cmGNp2Xrbu6gLL8+LQ0xv4o+7UCA5f8hXH3vrA+dH5hx/V0w8YH7t6lwmM25wTp2evyr0e6PL1m4v0Fygk8938hUQV0VtVuZIywCdDjpuAmjlR++fkS2SeBE2fBUi1Z8+w80dmISpdqrSdoTUbcUAb733fyA5wixMghCnY1viEwz7oJcZ31N/54av8kR2ko8SJ61Db2d0Crn+0+e2r/V9NSv/2QTRNv4U65H80M4QU2lnHb7l9tXJlRbxet5malHq+7EdnvO7zP1PRMS5dcRRtlhOfBNfsNqaldq9zaL9n4EQPFjow0C0fZjr1ibGUP7tG+9bmKPcNvpoJtt9EzYh5tuZN3zEsVKf9fRe7I+xYI37MjMGpuKUkzvuHOBtZ52eD2oMl+81+G4DH3HcJ0GC+9bWkLdughkQ6zjvNzlB/mTyMjo/1MoVwLnVUl3UIdN2wyQc4514tcJxDuF5u7FFXhjxj7tJjCt95oncbqMfT8p9GZ4nGZsjOzK5Hl7IqMRLxYt1no/ZdXpYro8HK66Tw73kUsvW277tzgGZe0WYkoTr/HEypP7S2O9OcD7RGBLmDjWowzKPk0fMrx3LDvK7Ais3fqpxNj5/1ej3VpesdSjQSC3dCVnt1XLh3BLdMbEm5oLBAQ8Bzk1c9Et69NfB6S4C//2xcCIZg2P/FoL7+19EsqS9cTv6u2j3/xX48A4I2RvjdNXnHQXCSLzgaK/YJAaMrXnsfxqnGOFwTwtH6ORo9fPkycY4lGy3yuyMMZWyyvG1ckrtK5crreH1Y5upVZnvqXZZLkcyOb/YKrvM28YnkaM8LLXbFmmrK4zobgdd9MlxNrSRtryd53zybWM5do+2uw6bunGONJbp89beh/05Fl7rtvZ9iwtQ+Tjl5NZhcy2vAsv3MVGeD14LTfy/7u8tBu0DTtkj2ie9zf1rfPQyznnrJhjRCbQSp+LzQ6VcBkAui3VRJ50HuXO2VODX07jzZEuPU7xfFmjWBnnupAuV+XlHGLMwLGW++Ph7PzYr9qeTQpkbKRMXeWrilLY5acd2h5mfkrJf0gsvxdfiFfrodYY2pecA5T56uaE+u1UuJ9Vby9bbvk/m3FWEKUm5xp/0uTPEmbl16kP2EfFyLPM6PGLhWux/+VzmYNwoPH+l8M/rDy0/2upUoB2pxDEgAASAwFwE6k8Ac+2FdiBACIC34MGvIgDu/2rkf9dvFGi/G3t4DgR+FgGc7H829H/acfD2T4cPxl9AANy/AB66/kkEUKD9ybDBaCAABK4ggJP9FfTQdxYC4O0s5KF3NgLg/uwIQP9oBFCgjUYc+oAAEJiOAE7200MAAxoQAG8bQEOXfwIBcP+fCCOcqEAABVoFWGgKBIAAEAACQAAIAAEgAASAABDoiQAKtJ7oQjYQAAJAAAgAASAABIAAEAACQKACARRoFWChKRAAAkAACAABIAAEgAAQAAJAoCcCKNB6ogvZQAAIAAEgAASAABAAAkAACACBCgSmFWh44bMiSleafj/m84n/XOQVkbZv5g8rXhf8kxKG5MNn3f5o6Wt5Z//YbvoPVv5kSOivTpn19TLHeDViE/wBzJehPwI6hAN3/C2thO01KIzys8amx7TtNl4/xsPuhlzmF2JgTA6Dz2rsH2+3f7Sd/kDve3mZF/8V4+7RhQIgMBCBXB4MMgEF2iCgp6j5vLfBdHmjQJuCf4XSy5OKEl1coL1eJs+JjkVJiY2PatMLi10uFX/7v79ToKVtrwnbEK7XGPSUtl3H66c42d+OS/xCDIzJYhDnPo9f+fNJ/3hDAxDogkA2D7poSwpFgZaE5R/ZuU/I+wyevSav/wj2T3RDFGiv12LSdTvi6kPXCYuvvXDS5c6cNz67dmkCO9n2rFP/woGu4/W/ANAAHxADupW/XTiK5g177m83y74f814X90TGZ0BooAIIDEUglwcDjUCBNhDs4aq6EqzT5HU4SD+kkPmw+BNrfG8VcfWM6IQFFzmTHgu6pUCbZLuPzT+4xvmZvnLyDzr8QJcQg3yB9sBwwSQg0A2BB4wF9xdo349ZeQLIj/As/Lyyh1JPEvS2aBm9B+Lbfv1VnO1dkcW8k+9bfc1nXfZnp+1jRcuaeg8n3S4p0hvo1wp99x30mta/mGX9JN4X0u1ehvyRdlqM/CNU8o6Jx0/rz0xIlV/WprK22yMQ2fiv5iPfZwl81T6msbC+rIau4H3f/Hy8xYOLD7n/tayZO0chFrfJVdgd4yHvamn/4xiHFhdsiQGH+RHPs6/FNWvFhoPnY8AhYYTDPceLajwLxwglN7AvemdPxybNzRQWjDs/GrQtd//tMc8Bv93mQznXUpbG+45st601LmEeskTvF++Jl7aNzWsaux1eC40ZYXvXNscZU2NXmU5rQZlcek8ndf6RfsTYeh5suhQ/c7ENkRFbV/sX+OC1aX8P8mOzq3RcUJhsCuPxSvPLbx/n0WkMIgwO/PJg+DUVg9wY4+31Xe1a7KvdX4q3bhefU04xUD4c8zCtT6WvdnLbtnZU5GKhXU5ubqwolJM0ettZ6nO6nRwT8jr2I8rW9JyW2qZ16Th43h3nibOri/70nPA0bpGP6dws9dG28+OSnD9b/zWmaX057KM4Zy7a3lug7RNAdzLlAk28Z8HB9UDZPXqb26Ve1I/Bk0DaF+6D/vQSq7LFbtsBgNvm5YbtuH2wrPA96Oc2qLDN2KkmiCV2xm38yc0e89vOhNRHEZg4Gr91jQpnfjQijXUYF7ZhET77RypqsVjN+y0mcWwrFXyp/dnH+wQSK8XiotwKTjAefPE8jh9zo4CL3o1wTRRoxsVVy0tMAir8CBXuW04X+7AvmUNRgbaYJC8q7MjjZ3ULlVTZBxdvHH/ZviD/yrmZwiJp12GBpjBjbr/CfGrJPeZays7UviPbt3Fa5LLDcLM35JiVkxp/vFbbJpN/Kn9ZXpIzNKZV2VWms97fVBw9LjG2Ap8K3nsExdrV/u7DMsc+WI0HeAd5tF1RO847kaQc45iz8Xil28bYhn6wmridiMERj7RfAnq3WjHGaPudjNT5ucKu2D/GoQcPD3jw8vq8b+GatbUwFyv4zdgmx4oKOaG1vFXuc0ksWGpymeNTxMU7bLI84TzZ7OmmP33uP4zbLTkQ+hjHp20siOXEORfgGYBszI0F2v41Hzp5BuUhVZq7UUI5A84Drt72pMwNwCRT6jrSY7/E5syi56f5pO1sYj3yCq2X6Zp5w8Rane+io1tljOxVNd5tq3Sa7ATFC016givJGTv3Acf3tXJbsJZ2ffeXJ7dJmBsQ6jBgf6kIcnHZ3eZjUidfiQix4C/fKS7QlR03kZV3b9lGNblluMWSbQg4ViWXdUmOkgIfK/nlqzAmV7gonNCrig+ueA3Izbr5DnOdH1ol+cu5JuP5dV8DC78A5nHXvGA5NXgqXhxiT1eT/d3qNMc932TbHDdjLPY9fHILcGfZ/kTgsZA+p/jTgo3Xk7UzdeDQ9pJxNvYzpUb6vroBwo+H8v0931ZzhnXV2GU5U6xzEU8uXD2vqPy0uNTFNsbyan+SyGOCxNfzUNKYY3GeH2yXzjv/FER+fJResm08XnHMPb/ZpmAsz4wFfKEjfc4MbS3P+wJf3Xk0tt97m/O1xC7uex7DNAbsgxyLyDLPgzheZXnn/fNrMmbHudhoVzTvqJPjLfVrzuY7xwQvPlhjXS7PxNiTykcaL/0wmpr/Mu8az5m36pcctW6zv13mixkOp/PA4+Sw30z05yY/dlTkXBBdv3FjgeaFRmuJk7oFXA+iftvLYCf1ACyLlr11pGfvm7xiIxKS7vVy3yhxvSVNayxXZk0kaLcz2Wa3kwdwlldiZ/KEzwQrwTrG3pm+y5YTJXdMr7DNwj9OOE9m7lSBhbiyK0Rvgrj4iORnMGHtvGT77pa7G2evHAvhQT4wXiUxZoNLlpHvnAOyYD2IudbBdgo/dBOXV8xf0YBjlDqxR3ET/aLVhB0cv0hO1PbA34jjddyM7OQdkQ32QMABwe1zH1hwYpnQpfUkeuV3JeS5CXzJOOv8So0/Xm02fq7g9/3zbfd4VdmVOK9EOivkMl4luRzlp8cjucayj/Iv2XHfWdqf2536UJEfLLNqXPAx927tOoUcze8sP9gGiV8yBhV+ecP8GusRNvJBNwaKY9p+buvyzLWtsIttOI3hlqDpj4R4Q8I1lu1w3O0qzLtQmN3KxizKxVTvfV9kF899UjleJyduXeEz21USi1gRBSh+eonaRdytsMmNywls2F4dX8fD3che+o9sYyycbRIwNXc+khP5mMJzA9liX6KPZTbH+dY7aAKY79d8Px/zeb/NKt/9EgHVg5De9tJiMha3ZYCSYFJNZh+Ls4f9ZJUfz7Hvdekndb1lybUC36N+bKe760NXMfQ/fiygws4oYazmYvwy/TcpbLOIqfOrAIOsDSw38l/iwVjwgBufuMPYOssSg5g4JlZz9jXJrcajIsbC5tPVVDwZbxfHON+c3AI/XFteSenkY6xb5GcOd+6yLQvsyMtR/pXYx9iwvYXcDGyWGyxH+E2Htc1624tQPvgDxlzCRgrKrKdsT+0T3XXO5P3ynY7aFMu70a5AZ5Xcilw+4iJBUxBbj2Birbl/oQ+MS0l+HPnKckR+5PkQ54Juq7c9MnHfeJIrL97Kc5Be9+ckL39fK/GVx5jEOODlKXsZpxK8XWHj7c7Ob47sJWPOeMR2ifh5H/S8Sx7x6/mYHfQ/s+sQW6/71D/R1K1W+VyYT064WjnR5VqftAvGtENsMrzLxPd+/fG5MdJRlAMHcrjQE3l4fSy4GGdzd4G2vTToB4CoyBDO6wTU2y4ACeCK21YSdHscS76QzkEv+bBEhe/et32N7WR9yaUsQtRLnNxe25kZaIvxy/S3VqukpZ0VGGRtqMQiJ0cPPg7zQ59cq2iyzEeq5F7CozDGbFjJMuO7xZCvnF2La2RGRqdtt+sSA30unlv7S3iyZcq/Evt43KrkJmuMlixH+E1ttO9628tRPtCBW7DxGrJrKdtT+4QAnTN5v3wn2yY96S2W12RXgc5KucXnlRwXK2LrERRrV/tvogrGI8aFz0fJ5X4ey/m66aoZF+Jc0PzS2x6ZuG/7pEyen70G607ms/XSVx5jEuOAl6bsrcF7E1IQQ2qXi00pj9guNb6xHzp/eb9c1uT/bWNfqX/SUF6v9rkwFixfLk90uaYn7XQcivPkRO79+uNzY6QjOdZwLeJzs9hHUpDKA/a9UF/x2O8cCldufMRRVIvLalb6qiDdRaOrGuzUwSCUBa6gr25EvAAAACAASURBVHcpM4BlBgqrUz7exZK+9u6f/BqlsJ1b+WWd777fvsY+ZuyM2rsdJ3amCHZ0AmA72NdMf6teYS2v0DXE37u0f7ChEIscb/Tg4+Qf+uRaRZNlPlIut44TOT+2Z/zpTnQxF9nSxDLr+x7L7eML1+Iaac3qFFemRayPcOB32ej9y9rxxdul/DuyT18c4vwQ9nq5FWsZOdp3ve01KB/uyj2vIL+Wsj21T0iwfvhxNu+X72TbFBRLJeNZJl5puwp0VvrrvWoZr+vGEa+L1672Zzm8PPDhBBeWsC2P8i4hJ8sZbsvnrAQfsn11fpNhKbtYR4ZHgV+pjb1/9KiyBSJ6XC1rL9vBvvJ2tV0HMcxhUDPGnNil8y4FmW1TkIs1diW44XVfzJNmn09i4Q30aye6XMOTdjoOWd7pPDmRe7/+ggKtMAeKfSQnbh0LGuJ86x20o6Dtjsr3lTRQmiwuyAV9XVtNJN6+8Cz09rzv9kGR9GCx6a703dvLazxBPtDBTbNL/lqPkJEimBuk/ITJiYyw1hNB19KR18W0EgMdfy+5DoucnPJCymuWa5fl3oZHYNX+RToRY3n4bD3Dh62bi/3+5yhKJgGuj38/NDKBcWB5ogHHKH4HzV/xcs1ZTmogTtiRi1/8/H4Fxw/HE2fp+UrGF22z3vaClc0ZeVv7Kmy8huxaUtdRzvLEx8c075fXatskxig3ISuR12JXic46ud4ruVY4Xifx3uUkYis1bOtX+0cC5Q7twxEusp+4OFM1LiRik8BA80tve0t2e6UNu7ywmKrwywsXawk9fDRrf4mvV+0iI3QMGyamkQ9HdsXjAUMhl8X5X8nvLBcq5Uhb7fp1n5OxiBXZmNEdHMnbrZ3mWZ1NWWz4vOf0aT1spN5/l/6DAo1tS87x2S6/LPcxkweV+rxmuZbIOXlYrN93B40JHrwQR1Wj+Py5C3AMuJusia/NHH9JzZ+gvT+aIKzn4GtCbJMYZNzXbrYnh/Y7OtzOK/Nrlb77jn6NByRKulD//lUr1l9j5942PNn4Z7ilrmOs7Zf2+G28ZNtKDPKJkonZFguFxZZDdBs75gLzKZrPZzDxkbBrOfuK5V7BoybG2vCj7RPfHQfl4F/pR6yeT8jhl8YCDokg5XB3HxtpHF+8XQdjRMVXHGXukGz3VUrOU68wXmNMhd/USPuut70g5QPLu4yN15BdY11J2wvG2YSfKV2ei/Krcf5LWUVFvdNVY9c+nrhB+EhngdyaXE7lJ+NdGNsIy6v9SWCFDy5uZ+cxV2iXjQs87sq8C8YQkXc6b/S2x0jlkfBVnzPL/fLS5Zrsf3ge3WrXfc4kMDz2VfEwNR5VxJDjHWBQySPpr08l8fVAES+JE6+7/tGXundsePxpsiueL9SeX9hOuXQ2i7jR45f+yY/9QmZNLKQCsc66/JcE/dc0Zdy4ncybpE1urExgw0WJiBnLHaM/PjcKKPbzZkEOVPqYzAMno0DfDXG+r0ATA2707hk/rxkFWJDBJRo/N2qXCz3eJSeMDiDR10UrMeASufiT+myHW0oZfiKZsp/HA6cqWDnuu8kTvgdd3cZuu7NN4kCfiueGx7p8uw0o8bER4WsF1u6Og7Yr+htRx3ZpDGyCC5vYvW1ZikU+cfmEHuBBsvekkYNYoHrfyNlXLvcKHsd9A584lsHOlEclvgvcHV+PbdFxTWpmGzWHeFvYnsN9e5Y7m8d7rjib87xwfBZt3T62h5cRx8k7gRG3c0uZp0kk7E7GQ/i9Sd7+HInPiTwWuw3Oh7oYRXIz9iQ9yLYtHWePYuM1so3y7xX5cTm8g8xt+U+2eCkbqoXjv7erROfGgywffQzPeBtQgE/oG59YRl1sQ99p62r/cxmBDzX5wVxy+SPPeeGf3/AT6LBNyfwgzw+dR36MtFzjGOw8ytn5Ksn7zLiRGmMyuKR8LR+PjnkQxPAWHpaPBzFna3Lx2C99fspzoU5OyuYuY0JaEV1lT/8NQbqQE/Qpj0Mem0SeDNXv+ZAd4wtzs8rHZB4QuJlc3sdtn0vHnPLttqsy0Ze9SdONBRqJ0y8+0l/XpjtCfBXBD3hJoORfd6dBb4tGTI5k342Ucdtt9/Z3DvZHt3YQrV32qP/fXi1dZLDpwxvuEpBvGa+V+x735T2x/iX4e2f5dvReTmynuPqr/7BtIdabRoqf+HiKvWqSwrocg3wM8z6msMjJKS+kWF+4vEfuFTxiLiRjzANlkO2hL26roDhl3OiKG1/prclrp0uv6Bewia/v/Y6osD2HuxV3BU82KMXb7ZJzIcdJThybFDdZY7TMxEz7rre9nJQPF7DJ2OP1ibXDthoXHv9F/20OTJNsfy4Ij9ot73s4hqXGbd82JYn21dp1rtNqKpMb66errzXjdXls0whc7Z/CMOdDum02PwrHhc2vwnOW5oPe9hil8+gjznViaErw6GWyfnklYi2MA3H5y5O9YLwlVfTeMRej+bmQFa55mLMrbteXh1pfejwQALlVHzMrgy/OpPK/5vzk5TpVYiWMD41RVl88fxWd1Gqpz7rdUT4pFby55Y5/Qs3yiQ/KpdbFfsk2R0VQKk+Io1T8jdB/ZBv7oH1M50A+/ikfrUzmXttYENuVzLnMefXmAo3BwhIIAAEgcILAPiid3c08kYLDdyBAxXt4BrpDarOM/Im0WeRpxxk6T436xQY/NS6kJoa/GPTQZ+RiiAe2fhMBFGi/GXd4DQTGIMBXhoJ3aOzVN342/0F1wRhMHqiFJkRPKpRnTNBm6HwgFcaYhHFhxxkFWopwyMUUKtj3awigQPu1iMNfIDAUgePnsJ9012YoLI9SRo+qyEda5xs3Y4I2Q+d8pGdZgHHBIo8CLcVA5GIKFez7NQRQoP1axOEvEBiOAH3NdX/fjN/vXOi9io94z224UVD4YARmTNBm6HxwCAaYhnHBfXDgYRdIBgT/UAVy8RAeHPwRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrzYwQLgQAQAAJAAAgAASAABIAAEPgRBFCg/Uig4SYQAAJAAAgAASAABIAAEAACz0cABdrgGH2/H7Mui3m9Xu7fsqzm8/0OtuRc3WclGxfzPjXtY1byZ3mb06bnatFCI/B9m3XxfFk/xpTHRgv7A9uf1Sxbfixm/RCjvuZN/pPjQ35/mM+f1Y4ryMUTpsQx/tM59f2Yz5YrJ27jcDMCf5ofzV6fd9S46O1zCb7Flb5eyty1Xj70kjsXLWg/QgAF2hE6tx77ms8aFmaySKP15bwSutWiM2HlA0I82TmTjeOlCOzYioL+3y7QYn85T8blx9/lc3nOlvLvX20Xx/jPYvd5bxc0xuXHv8qJY7/+LD+O3bp8VOOit2sUXOlbo6dn214+9JLbEwvIvoYACrRr+BX3tsm135EKrnR+zffNdwxeZthNgmLLSxrGk52SXmhTgMDXTr5+5u7k7u+WB9+PefNFjeVtRt0/M+aP8lliV0Ct327yR2OcCtp+1xQFWgqc+/ZhgpzG8k5c7pSVtrb/3n/Bh/4oQUMJAijQSlC62oYn2a81P8n8048m/UOTnauxvrs/c+dvVu53ozFIHvg8COiJav6hGKNAG8IjTLzTMN+Jy52y0tb23/sv+NAfJWgoQQAFWglKF9vYhD27O/bd7hasq36Pyz4aad/Jse8hLVEb+U6SlcOPhb2WxbyDO3bkTFqmbpYcaNQ7dMv6IWmZd9C0nsXY9iGgVg+9hyfetdrkcrsyOdw6WiqbN2wWfr8pah3vUP1T+NtO2s6XSbX1uB7HinnjYkmPOe6FmpchzN3s9O+qBbERBV6y7yYmjqNtexAbhc0htqptCpvNDNXuUGaGy8XvQipdAWbRe1xl8S3NLxG5YNXH55gf1Mm3DUTQkSgnXSxpBBB37WUc5P7XsmbeP9U43JXX6Xy5iqcpjHGMpfbT2pceJ+3Ft+Ax9u3dYh0X2k7LjTmbbif1W5t9zsfvDKdltOhKeUL7PG7nfN1kqHjk8zttu/Q/Z1NKj+R52C+tR2Pk/bS99baXmcs9ep/7YRhZoLbXL/wcI53P3r9wTeOQ3z73XfaNxqJU4EdxiVwu1OV9sLzi87f91kCI3bZVLXdLusy7xjv3om8HlHE8YR12TUQABVp38PcPHBzdPcvaQB8UkSdfuR7ejbODgjwerov5+X5CDY/bQSQlU3wkhO/miPehtn7rGk0GtwliznY18eUBbRHt/eM6BxgoOUkY+c6ktnnflrgk++d8jnQf2KliXxqrZLtcgZazk2MjHGW841ce8xOLZGxqsM3Zp3GskUlFiOAMnwhTXK6KLWMW2FauKxm3jW9hfiVtchPeVH7afSKUYnKspeViuZr3O/EuLF0QSe2PTvQHOAR4+Yl7kjsVsbuEZ453iRjrvCjVa9tlcK3Br3ic8DyKbRTj9SCMYxtC7kq+mor8zsv1/mvWu+1c3BVHD89TyXh4fK19ftvpzl4cCXGR49UUjDaDy/PZ+xeuaRzS22W+c9+VH21X5+1pOFXzdjFy3POxVnxpkMvnbYtV+O2C1L4ajoeRxdZsBFCgdY9APFEqVcnJRu8fuYtH9F4OT0rFaOXa0oTAN/bFmGvL9tBdEbaErq6cT/64jbwL9t1fUN8GIHHyS7XlK8fU1hdgPJEj/dIma1uNHPbGL7k4lpjQUe8v35HyfcK1SL/A30EqJ9W3xmq71WG/aCiVOX082LOfdIWf7mja39d9DdHfeaMj1ifuK/1lbvi7uOx/HBvWWYYty3H2JXFsk1mSH9JLXo9s2i6S7u/80cQgwedzXYyh5LLnmwojmxIs2a7tbohLUi9Dcta2rY2liBldvXWTIHlXmWMR3vln21wcN8vJNlv01eZ1bzxT9h6PWYxleRxZB8XLfnWUQPGYdOfRPsmT2JMFzq7TManc14Co+4bTc3ruYU4J/m0yUty+xybH0+R4U4MRt2V+xNseG7Y9NY5K31N+j8OI7OXYOZxcPOJ89v6Fa1ZGHhfWUT6e0VxA59Je4LkBdCRONbo8prEP+4Uxd15pketxdk9J8IUELvacfBsnh//pOBDGFVvzEUCB1j0G8WBdpnLvx8kXdBKJvc/GOQn1SdrwlUQe2Hg7UQwFKtzgzQPCgR/RwLC3ZZ2B4N12MYhkbecrkYVyAjVnG4xDUjZ3zvgcTYg6xYrMyNhpMdtjw20EpuyBuysi/Az6csNtGfubj03QMdxge5zOWK5VZz8JH3E2lGa3cjIL8yMWmbGJGub4XKKL7SzIr9gmuyeLOct2uPJkgHNUSoz9Y7mi+9aBORLFIcdzLcBKsReOBAdZXySX87o7njEGDqEoxgpLxrogjnk/9Ti923O331GcyMtOuhyAfiXrP2OY5Ivvv63ptrxdgL+S5H0XXNzaRDhVYBSdDxVfAiNi3j0PIzJ4tzMZn/g8HbgoNqxvfgxKb4cXZbfuHGOh/5k4CWf16oEPwq29lx4PtDCxnZXrcd5a8zjGTwSk7thnn96osEeYhtVxCKBA6451PFgXqUwkqOzHkyoeBPSg6Ntq/ZyU+xUpupu10h06vu8iesq/gxad3Hw7V0TwCZFtd1fmvS5/q98/ppK1vVKOsChe/X7N9/Mxn/fb0OMT7nl7tjnukS2OoqZsJwdDNWiPVWGBVhIbYVsWbz5hC0zybYWTZ9ie4CMk+dWLMjXmXvC+VoIZ43Bif6irPL8im5xp9goyP8ri2+lcbpkkqhP8RjF7ZVdQxKrUGDEOd+V1pNCqvQ1Pbb8H0uc2xziagJfH8ShHAl8Yv7v9TvnZS5fEcF/P+x/z1XU/y2/+24eCa7nzlJPJKye+czN33iqKR5xrNX7XtPX2nZ2zyjnqZMoVxklg7M/PfM7252nZVa5r3862fd+YH7rvUVt3rCeXnJJ95VQX8ySNWzAeSNnFcuPx22Jm4xVdDOMYF3JcmoT1+QigQOseAx5E0wkbqKc/NsqFUmVi1Q1s6mVdHqDVRwECmalJgDNeDbRsO8tNLv1AE+hxMkVxkuzPJxAvR3Z169sLuNw2sRQTNNeHV9iPzODGza6e6J2cRIGUkx1gVhIb4UPQ1yv3V1QFJvm2FJ+D9xcoZiynFEey5SaZ2RMh+1uCWaH9sa6y/GJT9DKPucqzqKiQksrbxvbvcjRGHMfCfMz6wXIEJ6XlsT2NeGr7pZJErsX2lum1/dLje+BLL79TfvbSFWBoN2LcuFHMweL83kSU4c/a3PLE99J2QewSuVbjd03bIRgRCIxTYT473NSK9u1s23eP+aH7HrUdhhMZUXpecjwpGA+a5CbmO3v+b4+Q6uvsHOPisdYjjrX5CKBAGxADPdDnVNrBaX/n4ySxgrZuUEgkb2Ii4vV/7R2lZX82Wk6qtczUJMAJUgPtie2u276SHZQr5Wi59B6Ie19vWQ19IfNDd9HoahXL5kl43NmfwDKDm+vCsjLtLsUqIzvA7Cg2if5BX+eEOGELTLJta7BN2CDV+vWKeJ3I1Jh7HfvaEWY6Z5p1HedXZJMzjS4klOVyNj5sc0Ess+OTxohlZniu/Tm1LSMnH7tKPLX9gYFqzNLjXdD2WK+1t2BCdoJfs98pP3vpCnCxG9k46zyqGTMCPcf4B01p48R31/6knY6H9lNvR3ILcs89ZujaVoyBTuHm9OG5PGjKGyf+c7OzpcbhbNvLq8lB3XYgTpW8tf4XjAdNcvV5QeCg5m8bzicxtraG7xn7+GBtNgIo0EZEgJMk+e7BbsB+kt0+xrDt2gekZB9OSp+selD0bumBzR8J1/huiB9YQpkHcth2d5I5sj3USluhHnm8To7sua0z7qmJYGRz1JssS3ydktrp/Ud2XoxVxocAM27j8Pe+8OQ7/rBEYlBOYBLo8WKPJ0GRHI0XC1L72Y+ieNVhzhr9Uun2B4iQ6hPGV3WR8Di/pEq5nsU84h3nzrVYMkci2Hcc/GMzRzhID+z6qR+FY1ssmfaU4FkTY8bSj6mleq2fiRi4CRjLPMIvHidK9TNffZx2fLY7I3489/Iu6PJC3NppnHlcqspvJ16tXIm75kNdPLSf2bhH48cRt5RNwzAiWI/8V7AfbKZxYc5X+E4WydcqAp0TcaqMSZYXejxokutxJXh47Kbcl+seuqMYl44DXhrWxiKAAm0Q3py0/GUffyearg6u7p0oOUlyfXJf3+ETX83AJk4e7gNx2x38t7XhQKazJ/hS4N5PXb1xbaXtm57d1wM9MiQ1cmS/bZ0HwOBFc8I7fccw6u9wlV9H9F/ekhOipJ3iy2HucT8nMxxorW51EqKd7IMkRiSDB1ppJz2VIWIj+vNATjYxB4K2JbFhuwqxZXz818ISODbKlH7Qoyj+rqn/itpRbKl45Xw8xsE+tsmYJXVV5FfKJtpnsSrjxx2xZBmCIta0qEBj2xQOd+V1KnYX8WTelcd4x71Cr9MRfcVwH2cEsK6tyL3LPErEyfNIxaobxgV8rcnvCvxTecQ4H443LtcKMHJtvZ+cN3L8OR4/fF9vsxrzB2KU5Ugmn73N4ZrF2vt2tu17K98TGGfbjsSpRpfzYX8Kwp8s3Bcz3cXSJrkeZzc3cOdrLsZEG2nP2ZjjwcbaQxBAgTYsEH4SHb+Ia9+NkhN+axZfLUy8O6UegdKDondLD4LHdoi5RGKiyAOAsoe/IOQGCtKeabtd1aVP6AoLs1fN6uR4ibx27OsWh8Bm7ieWbhBVPkdX/3vEqrRAE+02fLWt4Wf23cCu2i70AZVkoR0O+BadSmyLcKyU6e6iJPxV+SEiKlYzHM3xmf+8hcItfBzx2AfJe2FIsFqey/m418SSJ5qRbcmJfwazDZPKvB6CZ8beRIxD3MvjyP3Sf/dI38EqHSfK9fMdNHtekbnaQVfAVLvB/p9/1ObYp3A8Pm4bcVXbVTTeUKdSjPjihMA3o6Mm99x50p2Hjv2+FaMNs0x+JPJZQ8zbOv5n29wv9j2BsWu82zkFp5qYsA/0SkXqvBT++RV3MTE6p+x9nb8sl/nHNvH2DpS4sMEXHWs47uYGpwnmAoOVjgigQOsIbko0XWFb5Ttf9BVF+jiHu9Kie9GdBvHVwdeyf3UxbKcHRX9UD2x0RMukK4ixDUmZdAVW/BFJe4UypSOth3zVrib1eAeS9qbkBF3chn7RnPHjOy1qgHP9xMr2grC/60ZfE/ODn2gX4cq6ZBs90MpjCRx5EqAGzCRm+kVmiinfnVX9aSD2f+R5Mes2u4r1J/U4kyuxLcKxUmYh5s5kvXKJz+n4luaXNoW385jH8dn6XIxlXYFGGuPxI5WPeT/YUy2nD57bHaqCMSu2V9t3Nk7a9rZQ4q/jsq9yqeVe9TvUG6b63bqkH3Y9xo3bpPhak9/a9jT+rC1aFo031EvrSccj6efF3EsVKWSPPMfSBSD7BcvUOUvbXonRBlosI5XPEb77Do3L2baXE/ND9z1qOxan8phYH+jCjMX1eDyolWvnKzxmxxf1eX6h/6yBjjFzyiO8rWXmG6oVNgchgAJtENBQAwSmILAPuKmBfIo9pHSzSd9ZmGYNFAOBSwjkJ5WXxKIzEAACQAAI/DACKNB+OPhw/R9BgK96Be+DUSHEV1xTHzCY6Ds/hlH0GOJEO6EaCBQggAKtACQ0AQJAAAgAgSoEUKBVwYXGQOCJCPDz6Kln3tX7Z08xnx4Nosd74xdXnmIh7AACRQigQCuCCY2AABAAAkCgAgEUaBVgoSkQeC4C4ddA7cvk9G6Z/0LhE2znZ+fJvvy7fE+wFDYAgTIEUKCV4YRWQAAIAAEgUI4ACrRyrNASCAABIAAEgAAQAAJAAAgAASDQFQEUaF3hhXAgAASAABAAAkAACAABIAAEgEA5AijQyrFCSyAABIAAEAACQAAIAAEgAASAQFcEUKB1hRfCgQAQAAJAAAgAASAABIAAEAAC5QigQCvHCi2BABAAAkAACAABIAAEgAAQAAJdEUCB1hVeCAcCQAAIAAEgAASAABAAAkAACJQjgAKtHCu0BAJAAAgAASAABIAAEAACQAAIdEUABVpXeCEcCAABIAAEgAAQAAJAAAgAASBQjgAKtHKs0BIIAAEgAASAABAAAkAACAABINAVARRoXeGFcCAABIAAEAACQAAIAAEgAASAQDkCKNDKsUJLIAAEgAAQAAJAAAgAASAABIBAVwRQoHWFF8KBABAAAkAACAABIAAEgAAQAALlCKBAK8cKLYEAEAACQAAIAAEgAASAABAAAl0RQIHWFV4IBwJAAAgAASAABIAAEAACQAAIlCOAAq0cK7QEAkAACAABIAAEgAAQAAJAAAh0RQAFWld4IRwIAAEgAASAABAAAkAACAABIFCOAAq0cqzQEggAASAABIAAEAACQAAIAAEg0BUBFGhd4YVwIAAEgAAQAAJAAAgAASAABIBAOQIo0MqxQksgAASAABAAAkAACAABIAAEgEBXBFCgdYUXwoEAEAACQAAIAAEgAASAABAAAuUIoEArxwotgQAQAAJAAAgAASAABIAAEAACXRFAgdYVXggHAkAACAABIAAEgAAQAAJAAAiUI4ACrRwrtAQCQAAIAAEgAASAABAAAkAACHRFAAVaJ3j/++8/g3/AABwAB8ABcAAcAAfAAXCAOIAfEChFAAVaKVKV7SgR//e//+EfMBjCAaIn+IZ8Iw6AC8AAY4EfC5APHgvwYj4W2wCN/4BAAQIo0ApAamnCBVpLX/QpRwA4m+1OLSHGk/Ny9P6tluACuECMJh7QD/lgLxL+W1le5w24YPHC2GjHhZljAmJQl7tobQwKtE4sQDJ2AlaJBc6YkDIlwAVwgbhAPKDfzMkYc3LmEvkALjD/wAXLhZljAmLAbMSyFAEUaKVIVbZDMlYC1tgcOGMSwtQBF8AF4gLxgH4zJ2PMyZlL5AO4wPwDFywXZo4JiAGzEctSBFCglSJV2Q7JWAlYY3PgjEkIUwdcABeIC8QD+s2cjDEnZy6RD+AC8w9csFyYOSYgBsxGLEsRQIFWilRlOyRjJWCNzXM4f78fsy6Leb1e7t+yrObz/TZqst0+K8lbzPuamEs26M6EAf1SJ59fwwEYgAvIBztCYGw8LtAwNhoDDPTZtN92Lh/7aYTkv44ACrROEUQydgJWiY1x/prPGhZm//WC6AAAIABJREFUskij9eVCdfV3CrTfxCEs0H4TA0qRX8aBxoRfx4D8x9iYK9B+c1z45TEhnQ/bMDHsvzgfh6mGoj+KAAq0ToFDMnYCVonVONsCar/L9ZG3ub7m+17Nst9RWz9KUOHmXynQfhUHOQn5VQyIyr+MA40Jv44B+Y+xMV2g/eq48MtjQioftkFi4H86Hweqhqo/igAKtE6BQzJ2AlaJDXD+vvcCbDXZ+uuz2kcel7eR5ZsSm938EwXaD+PgJiE/jAGR95dxoDHh1zEg/zE2Jgq0Hx4XfnlMiPJhGyHG/hfk41jV0PZHEUCB1ilwSMZOwCqxEme+Mnp8d+xr3uti1lUXaPaxF77Dtj0KGbUxRhdoetub9zEr3a0ThaBva21wj14ui3kHd/t2KYn36F7LYlbVljCgH5+AfxkHYAAuIB/s+IGxMS7QMDbyOexlfvE8yeeH/Qw7dCHzcahiKPuzCKBA6xQ6JGMnYJVYj/PXvBd6tPHg7pnq6zfpgyL+YyKucNoehwzl+SLL9tbbgcxkgZbTo06YfKdvfyQztClsSxjQz558fhsHYAAuIB/sKISxURdoGBuNAQb+HD12zefjWL3Q9ncRQIHWKXZIxk7AKrEe5/iOlWqa3eSrqnS3y92c+n72gu9lXuJSoy7I9LZXEtvj9NBXIL2i/a6c1MMnUdmOJNNdvr3AEzYRBvSzxUms19t0vOZk/2EcgAG4gHyweY6xURdoGBuNAQbHZ8F+R30+9tMByf8WAijQOsUTydgJWCXW49x64tn7Je+8iUJpf2FNF2R625sX28MFUPQVSX4vQhRdXo5aS7QlDOh3rTj5N3AABuAC8sGOGRgb7yrQMDa6wu6Pnyft+UGdUwdt+nwcpBBq/jwCKNA6hRDJ2AlYJdbjHBdEqml6M1HwyIbft/1kP9dOuiDT275vbE9NWyfn+zXfz8d83m+zrov7CqV8t40woN+l4uQfwQEYgAvIBzt6YGy8qUDD2GjMP4WBO7sOXfH5OFQtlP1hBFCgdQoekrETsEqsx5nvdoXvjKnmdvP78X+w+qknnu0DIfn31fIF2m/jYAu038aASP7LONCY8OsYkP8YG3WB9tvjwi+PCWE+bMPD8P98Pg5XDYV/FAEUaJ0Ch2TsBKwSK3HWd7tUU7fJjxpud8VOCrSgreEvYC2G/9Z19q4Yy01+xdGZsq/ou208kaCvQK7bFyc/dBeN7qYl5BIG9LMnYLrYGd7109p4O/CN5fKtQm60L4O2D8YBGIALyAebtBgbdYGGsZGYgfODOrkN2pT5OEgl1PxxBFCgdQogkrETsEpsgDMXGcnn5PeO7uuIfKftjvcLwq8qbppYT0uBxn6kiqWEXMKAflycuMdRfhAHYAAuIB/sWIexMS7QMDZuFVr53wt155B/4zzpzg82RYb+H+TjUM1Q9lcRQIHWKXJIxk7AKrEaZ77T83rZvxfm/xj113zeq3uHS9Y+rk/u64UHRRZfjZRfgPx+3k6PfBTR6vF337wr6g4aF2h0cnQOkP32ztj2yX1hE2FAP3nycT79GA7AAFxAPtiRBWNjokBzd//p8fHfOkdgbPwvOEf68++YNZ2PY7RCy19GAAVap+ghGTsBq8TGOIvHAzN/Qyz6iiJ9ejj7d9DCgioqslwxFb4vttBHPZJ/By2UZ91RBZr7WzWhzOBvoZ0UaP7v3eRl/Is4yEnIr2JAnPplHGhM+HUMyH+MjekC7VfHhV8eE9L5sA0Tw/6L83GYaij6owigQOsUOCRjJ2CV2BzOdBdrXcQdp9fLLMsq/v6YErT9jTHxlcTXYpZV/F20vXlUoNH+L+niQmgx6/aCmi664vfXvAVx220SsUr72R7++2y+0CMM6BeegK30X8MBGIALyAeb+xgbcwUaxkaLgDE4PzAS/Ze5fOyvGRr+KgIo0DpFDsnYCVglFjgfT0IUXP/0JrgALhDBiQf0SxXr/3QCKOeQD+ACUwJcsFyYOSYgBsxGLEsRQIFWilRlOyRjJWCNzYEzJiFMHXABXCAuEA/oN3MyxpycuUQ+gAvMP3DBcmHmmIAYMBuxLEUABVopUpXtkIyVgDU2B86YhDB1wAVwgbhAPKDfzMkYc3LmEvkALjD/wAXLhZljAmLAbMSyFAEUaKVIVbZDMlYC1tgcOGMSwtQBF8AF4gLxgH4zJ2PMyZlL5AO4wPwDFywXZo4JiAGzEctSBFCglSJV2Q7JWAlYY3PgjEkIUwdcABeIC8QD+s2cjDEnZy6RD+AC8w9csFyYOSYgBsxGLEsRQIFWilRlOyRjJWCNzYEzJiFMHXABXCAuEA/oN3MyxpycuUQ+gAvMP3DBcmHmmIAYMBuxLEUABVopUpXtkIyVgDU2B86YhDB1wAVwgbhAPKDfzMkYc3LmEvkALjD/wAXLhZljAmLAbMSyFAEUaKVIVbZDMlYC1tgcOGMSwtQBF8AF4gLxgH4zJ2PMyZlL5AO4wPwDFywXZo4JiAGzEctSBFCglSJV2Q7JWAlYY/OZOH/fq1le/g9UL+vHfBv9uNKNMKDfzJOPtd/+we1l+0PdVzxq6zuNC9+P+qPo9EfFf5ELX/NRf1zd/tH2tni29npOPhj66/Tm9XqZGTkxLR92n8lv/W80DrO58P2sZlk8Dsv6Np8JJ4nxXLDnAh3/cHsxI08V4zEIR7DZ+kNrsPUXEECB1ilKSMZOwCqxs3D+rP6kG5x01o+ysP8mYUC/uQXa17z3icjoSRgjPIUL37co0jUnVjOaDfO44OMf5ANN0gfnxDwMmIm89JPUGTkxJR+2mlTngd8ejcNMLmTPEa8548LY84PnfjQeuML9gQUaj+d6zKrdz0OAWM7KR2ECVv8YAijQOgUMydgJWCV2Cs48WNOJlq+G0l2U/cSjx3Zl8u2bMych1plwcj56EsaAjueC93t5iztm38+0YnUWF77vxd4tkXcOXU6Mn4gRJ8ZOSJmFfukw+ak7aHtOLO8pTxN49O3arHzgO6cveY4wdIfZFqujx8jxY6OOhN/mvHgkBnxu1yfx2v3eXbf2pBg4o7DyaARQoHUKD5KxE7BK7Ayc+SSrx3CTG8SVzXdvEgb0mzEh3R7h2QvTZbGT9NEnXsZzPBf2ojwigjGOC4MnqnO4wIVqfGdgxmRsDgbMwn25jwXr+muPOB7khIJoxOYcLnA+pC5M7PhMGBdmnB+iGPM5crD/ZMf480Po/Wz9oTXY+gsIoEDrFCUkYydgldjxOPPJN56MGnN0TBl+4yZhQL/xJ+Dd32W17xJMfN+G/B/PhaMgzpuIzeFCGgsu0FI1bLrH9b3z8oFt3/OCnJ6YE1PyYZ+Az7pIwxHg5RwuPKtIJSymcIGDIJb24maqcBWNOq3OxmC2/k6wQmxHBFCgdQIXydgJWCV2PM7HE+8ZJyDCgH7jCzRjvl9+xnPuBxHI//FcUGSUm3yleGRlsmMwiwvSfVr/fvj9vNTFDN36vu2Z+bD5vT3uuU9Cf61A2/1d3+GHc2Z+HINiMnRslEXq9gEh8Q7ez3wkJJHPOzdGv5PKlsw+P8zWzzhg+XcQQIHWKVZIxk7AKrHjcUaBpkLgNydORsmI8Vzwruu17GOwuuHN24QB/YZOSJUPfNds+zjAMv6rdVMxkJNzwmViTszIhyD27mMQXKCMLdQJ/ilc4JgvS+YDQnNwmDkm+KdL5tw9Yy7MxGBGPqqhGZt/DAEUaJ0ChmTsBKwSOx5nFGgqBH6TJyYjv53stT+mQHOfmh9894ygmDIhFTGgVZqk0/uI7k9QLGMnpPMw4Ed+xQcyJubE+LGR6tH9IxjqYzH8hdfRd0+mcGGPeXSBQnw8aAYOM4uTWe/kyqFpRj48Sb+0Bet/AwEUaJ3iNHsw6OTW48SOxxkFWpYEEyejZNN4LmgkxN8Bm/ASPGNAy6mTMQGLu6MyEA/iwQwMrK/qDsHEnJifD4IIv/R+rivQUhcm5r2nPHNM4HFgwjUrR8LZ+TBbvwMCK38GARRonUKFZOwErBI7HmcUaCoEfnPiZJSMGM8F77p/hMf+3S/xZp5s1H2dMKDfzMlY6CRPSFXhEja6dWsKBvrRRvZoYk7MzQcGwC9/5v1cLtAy1cgsHOaNCTwGpApWz4/ea7PzYbb+3vhC/v0IoEC7H9NNIpKxE7BK7Hicj042R8eU4TduEgb0m3cC3p2ZOBklC8ZzYffb0AcR5vx9I7aAl4/hAhvk/nDxv12g8R2C/B/lJX6Mw4Dgn5cPIvhidVZhQiYMHRv5A0GZu8azcBiKgYi7e7wxU7DKpj3XZ+fDbP09sYXsPgigQOuD6+NOjp3cnC52xqBnT7AvE51v+MQcHegLE2FAv2knYHbvJwu0/Y7qi/gw674ZB8BOysdzgTFIXSEff9FiRj6gQCPWHT1dcMQRz9+712ZwweGQLMjn4TDt/DD5vMCcmjFXYN20nK1f2oL1v4EACrROcUIydgJWiZ2CMxdidALmSTl9Tnn/atng+mwb+AmWaSdgjsnkE/EMLmSLdcZk8JIwoN9oLjAO9PEDV6ZO+ijCLAySoZ6YEzPzYcnwYPTfR5vFBVew0wdyOCEm5QPxcgYXOB9m3DFk3XI5E4PZMZA4YP3vIIACrVOsZg8Gndx6nNhZOLsJqf6U9OjqbD/5UmBGT8ojMkycjJItw7ngCnX+jHhqmbqrFCF32w7CgH7jueAvUESP+f3MVxwTYZyYE8PzYXP/iAfi65YJqHrsmpcPfOc4MSYMzgfCdQ4XSDPjMHYcTHFpHgbWmtn6U5hg37MRQIHWKT5Ixk7AKrEzcf6+V/8p8ddigqvGys6em4QB/cZPypVXEyejZMlwLuz+RgVJULSPnZjM5cLXvNfFeDzm5MRcDJ6TE8PzgV2nO0UP4AGPCbScMzZ+zSc4R7ymniNmYWD/xMLYcZCpKJfT8mE3YrZ+iQXW/wYCKNA6xQnJ2AlYJRY428KEYJlzAlYBmbgJLoALRD/iAf2QD/8BA3BhywWMjRMu4G3I+/8QA48F1soQQIFWhlN1KyRjNWRNHUbj/Pq/MGXOtpucquxEGNBv5IT0zG99vNKlpubgwpziRMf6bLspuBWdkA8WLOQD8oHTBlxAgcZcwPLvIBDONv+O3Y+3dPSA+HhAOhk4A2eegJYuO7nuxBIG9BtZoJG+Uv+5nTO40wq4MGdC+jQuIB9sgiEfkA881IILKNCYC1j+HQRQoHWK1YwBsZMrjxY7C2dddJxt9wSRMKDf6AKNdJ75rY/3xgEYgAvIB5tlGBvnFWgYGy0H9fh/tv0vnh/Yp1n5yPqx/HsIoEDrFDNKRvwDBqM4QDQepQt6ns1rcMEWqeDps3k6Kj7IB/BgFNfO9My4gNhpiguxAxBAgdYJZEpUSkb8AwYjOEA0HqEHOp7PZ3Dhf9uoDq4+n6sjYoR8AA9G8KxUxzY44T8gUIAACrQCkFqacIHW0hd9yhEAznMf4ymPVP+W4AK4QCwjHtCPJky//EM+gAvMf3DBcmHmmIAYMBuxLEUABVopUpXtkIyVgDU2B86YhDB1wAVwgbhAPKDfzMkYc3LmEvkALjD/wAXLhZljAmLAbMSyFAEUaKVIVbZDMlYC1tgcOGMSwtQBF8AF4gLxgH4zJ2PMyZlL5AO4wPwDFywXZo4JiAGzEctSBFCglSJV2Q7JWAlYY3PgjEkIUwdcABeIC8QD+s2cjDEnZy6RD+AC8w9csFyYOSYgBsxGLEsRQIFWilRlu+Zk/Kzm9XqZ5f091fhZX+b1WkxB00jWlb6RsIod3/dqlhfZbW1f1o859zSvoBnnvMiGIx+zFsasQfhpF8KAfjNPPqdGDmjwDC4McPRABbiASTnTA/kALoALjAAKNI8E1v4KAijQOkWq+eT4Dxdotijk4kws109zFJpxbtaoO37Ne7G+lBTVuvcd25iUWxTnc+GOaF6TAS5gUs4MQj6AC+ACI4ACzSOBtb+CAAq0TpFqPjlWFGhXTB9+B+373u+crebDt8y+9s4T3U1rrdGacb4Cnuvri7PSu56u640rmJRbMOdy4caAXhAFLmBSzvRBPoAL4AIjgALNI4G1v4IACrROkWo+Of6jBRrfPYsKMS7cogNlgWnGuUx8ttX34x/VXJal+LHUrMALBzApt+DN4sKF0N3eFVzApJxJhXwAF8AFRgAFmkcCa38FARRonSLVfHKsKND0XTC//TXv1RYN27tey2Le7raVddi3NSZ4L2xZo7ZbD7rbtRci9v2xl3kti1mV3DScfKdpNfHDjEfH0tLk3macpZDq9d1mworuBlbErFpVQQdMyi1Ic7hQEKCBTcAFTMqZbsgHcAFcYARQoHkksPZXEECB1ilSzSfHism+LLLIDbst3u1yH+Ow++RNKu67ykJOtJdtuQBxhZloR/uCtkk890cZl3fygyBsS8vHTppxTtpZvvP75ec0UaCVo9a35Swu9PWqTjphQL9f/mAMMLCcQT6gQOPRA1xAgcZcwPLvIIACrVOsmgfEWwo0ecfs6ws3UUn5Yk7eBUu15TtcUiaBlmqbA/PfK9ACTytiFvS7aQMTUgtkc87dFIcniAEXMClnHiIfwAVwgRFAgeaRwNpfQQAFWqdINZ8cKyb7+s4TF13R1wQT73nVtM1ClJCbbosCLY3LPXsxKbc4NufcPWF4hBRwAZNyJiLyAVwAFxgBFGgeCaz9FQRQoHWKVPPJ8XKBlvq7aHGBpIs7D0Pc1h37fs338zGf99vQo5Hu75llHl10/cyBTPdoZspuLyG31oxzTmDL/oqYtYg/64NJuUXoEVw4C1bn4+ACJuVMMeQDuAAuMAIo0DwSWPsrCKBA6xSp5pNjxWRfF1l627sWF0g1bc32gZD8u20vFGj4iqMn27S15pybZvH9ilGgYVLOrEI+gAvgAiOAAs0jgbW/ggAKtE6Raj45Pq5A43fQ6KuNq1nXt/nQXTS6m8aPOJ4WaCzjX/mKoyJNRcxUz1s2MSm3MDbn3C1ReIYQcAGTcmYi8gFcABcYARRoHgms/RUEUKB1ilTzybFisq/vgult79qFO2hchIkPjDi5u63nd9D8FyYjMUfynaL8SjPOeZH1RypiVi/8vAcm5RajR3DhPFxdW4ALmJQzwZAP4AK4wAigQPNIYO2vIIACrVOkmk+OFZN9XZDpbe/aDQXaazX+T559zect/85a+vP5Xj999PG9v7MmvgZJj07un+yPCregc36jGee8yPojFTGrF37eA5Nyi9EjuHAerq4twAVMyplgyAdwAVxgBFCgeSSw9lcQQIHWKVLNJ0e+K6X+1pj8G2T8lUZdkOlt79qFAs3w44lX3kGzllj7EnJaqzMzf9DdPEOB5qk2ca055ybafLdqFGiYlDOnkA/gArjACMyfKyAffSywVoYACrQynKpbNSfj4wo0cv1r3sEftF7MQu+ifT/mvVDBVf4Fxu979V9/fJGcT/KPV5cC3oxzqYKSdijQSlDq3uYRXOju5bECwoB++EPVv40BcQD5gAKNRwtwYX4+IAbMRixLEUCBVopUZTskYyVgjc2BMyYhTB1wAVwgLhAP6PfLRSrjAAzABXBhGw6mX7DA+cnGAf+XI4ACrRyrqpZIRg/X6/9Cmp1t+57na6NxPrNdHz/34HoLTEgthqO5cD1y90sAF1CgMauQD+ACuMAIWC7MvGCBfPSxwFoZAuHMuawPWhUggGQMQeLCpXQZ9s5vzcC51Adul7f+niOEAf1mnnzu8eSalBlcuGbx/b3BBUzKmVXIB3ABXGAEUKB5JLD2VxBAgdYpUjg5xsDqguVsO5YQ75mF85nt+nhs+X17MCm3WM7iwn2RvC4JXMCknFmEfAAXwAVGAAWaRwJrfwUBFGidIoWTYydglVjgjEkIUwJcABeIC8QD+uGO8n/AAFzYcgFjIwq0jQj4708hgAKtU7hoQMQ/YDCKA0TjUbqg59m8BhdsgQaePpuno+KDfAAPRnHtTM+vXzTqNN3+Z8WiQOsUWkpUSkb8AwYjOEA0HqEHOp7PZ3Dhf9uoDq4+n6sjYoR8AA9G8KxUxzY44T8gUIAACrQCkFqacIHW0hd9yhEAzniki9kCLoALxAXiAf1owvTLP+QDuMD8BxcsF2aOCYgBsxHLUgRQoJUiVdkOyVgJWGNz4IxJCFMHXAAXiAvEA/rNnIwxJ2cukQ/gAvMPXLBcmDkmIAbMRixLEUCBVopUZTskYyVgjc2BMyYhTB1wAVwgLhAP6DdzMsacnLlEPoALzD9wwXJh5piAGDAbsSxFAAVaKVKV7ZCMlYA1NgfOmIQwdcAFcIG4QDyg38zJGHNy5hL5AC4w/8AFy4WZYwJiwGzEshQBFGilSFW2a07Gz2per5dZ3t9TjZ/1ZV6vxRQ0jWRd6RsJa9rxMWuhn0fim3E+Elp97B5fqtXuHQgD+s08+VhT5uMwH4M9KJMWz+HCJABQoDngnzE2OnOmrCAfLOzgAgq0KQkIpZcQQIF2Cb585+YB8ScKtK95L1RclhWieZTnD7rG3OfLkZ9Hx54xCXkGDijQnlKsHzG277Fn5ENfH0ukN5+DSoT/kTbggg0UuDB/roAY/JFB40FmokDrFIzmZKwo0K6YPu8Omp/I//0C7V5fWuM5fxLyHBxQoKFAm58PrZl8b7/mc9C9ZkyVBi5Y+MEFFGhTExHKmxBAgdYE23mn5gHxHy7Qvp/VLK/9ztmy/Ok7aD18OWdVusXMScjTcECBhgJtZj6kM3TO3uZz0Bxzu2gFFyys4AIKtC4JBqFdEUCB1gne5gGxokDTd8H89te8V1sA0V2q17KY9yd8p823Neb79oXTa1mjthtE349Z96Jqk7nLXZXcPJz7XRaST6ZU+JmXOWvQ7ePLkZ9Hx+ZNQp6HAwo0FGjz8uEoS8cfaz4HjTe1m0ZwwUILLsyaK3hqIwYeC6yVIYACrQyn6lbNyVhRuMgiiwy02/YOlSui9jtWtL1+vBvcd5WFXKYtF1MpmVqu1xCvfb+iSKzwM5bk9zTj7EU0rfXwpcmQyR9FeBoOKNBQoNGYQD9w4T9gAC5suTDrPNl6TuvRbzYGs/X3wBQy+yKAAq0Tvs3JWFG4cJHFX3H0BZq8Y/b1hZuo0GRbfxcs1ZbfL5IyCbRU2wowK/w8ktqM85HQ2mM3+VKrltsTBvSbPiF9AA7TMeCgTFo+hguT/Ce1wMCC/4ixcSIPwAUPPriAO2ieDVj7KwigQOsUqeYBsWKSmyvQok/0f9/23a9EgVbSNgtRQm62rT5Q4afuKrebcZZCrq7f5EurGYQB/aYXJw/AYToGrUG8qd9juHCTPy1igIFF7RFjY0sAb+wDLoALTKfZ+TBbP+OA5d9BAAVap1g1J2PFJDddoKX+Lpr9+1Sv5W34IUPd18MQt3XHvl/z/XzM5/029Ggkf/BDynVtz1Yq/DwS1YzzkdDaYzf5UquW2xMG9JtenDwAh+kYcFAmLR/DhUn+k1pgYMF/xNg4kQfgggcfXMAdNM8GrP0VBFCgdYpU84BYMcnVRZbe9q7FRVdNW7N9ICT/bhsKtPI/Lu5jct/aYyakFdy9z3svqTnnvIg/v/YYLkxEEhhY8JEPKNY5DcEFFGjMBSz/DgIo0DrFqnlArJjk6iJLb3vXrhRo/A4afQ1yNev6Nh+6i0Z30/gRR3Fnzus8Wavw80hSM85HQmuP3eRLrVpuTxjQb/rdowfgMB0DDsqk5WO4MMl/UgsMLPiPGBsn8gBc8OCDCyjQPBuw9lcQQIHWKVLNA2LFJFcXZHrbu3ahQOMiTLy/5uTutuIOGu6gbZyo4K7j0I0rzTl3ow2zRREG9PvlQhUYWBYiH1Cs83gELqBAYy5g+XcQQIHWKVbNA2LFJFcXZHrbu3ZDgfZajf+TZ1/zecu/s+bfbfM6T9Yq/DyS1IzzkdDaYzf5UquW2xMG9Js+KX8ADtMx4KBMWj6GC5P8J7XAwIL/iLFxIg/ABQ8+uIACzbMBa38FARRonSLVPCDuk9zc3xyj/fzlRV2Q6W3v2oUCzYhHHMXfSQvswyOORsbF4z5m7TETUhRoYwJ+oOUxXDiwsfchYGARbj4H9Q7QQPngArjAdJudD7P1Mw5Y/h0EUKB1ilVzMj6uQCOAvuYd/EHrxSz0Ltr3Y94LfTwk9eXIE2Bvmsw343xiXtXhm3yp0ikaEwb0m3736AE4TMdAxGXG6mO4MMP5XScwsEA8YmycyANSDS6AC0zB2fkwWz/jgOXfQQAFWqdYIRk7AavEAmdMQpgS4AK4QFwgHtAPxfp/wABc2HIBY6MdF2aOCYjBRkX8V4EACrQKsGqaIhk9Wq//C2l2tu17nq+NxvnMdn383IPrLQgD+o08+Wg/z7ave3kuYTQXzi0a32IGF8Z7eawRGFh8kA8o1jlTwAUUaMwFLP8OAuHM+e/Y/XhLMSCGIeIJfOky7J3fmoFzqQ/cLm/9PUcIA/qNLNBIH/tXurzH27yUGVzIWzPnyCwuzPE2rRUYWFyQDyjQOEPABRRozAUs/w4CKNA6xQoDYgwsT+T5yNk2tztazsL5zHZ9/MiHq8cIA/qNLtBIp/bzbPuqr0f9Z3HhyKbRx2ZyYbSvOX3AwCKDfECBxjkCLqBAYy5g+XcQQIHWKVY0IOIfMBjFAaLxKF3Q82xegwv2ggV4+myejooP8gE8GMW1Mz0zLqJ2muJC7AAEUKB1ApkSlZIR/4DBCA4QjUfogY7n8xlc+N82qoOrz+fqiBghH8CDETwr1bENTvgPCBQggAKtAKSWJlygtfRFn3IEgDMe42G2gAvgAnGBeEA/mjD98g/5AC4w/8EFy4WZYwJiwGzEshQBFGilSFW2QzJWAtbYHDhjEsLUARfABeIC8YB+MydjzMmZS+QDuMD8AxcsF2aOCYgBsxHLUgRQoJUiVdkOyVgJWGNz4IxJCFMHXAAXiAvEA/rNnIwxJ2cukQ/gAvMPXLBcmDmUahSSAAAgAElEQVQmIAbMRixLEUCBVopUZTskYyVgjc2BMyYhTB1wAVwgLhAP6DdzMsacnLlEPoALzD9wwXJh5piAGDAbsSxFAAVaKVKV7ZqT8bOa1+tllvf3VONnfZnXazEFTSNZV/pGwkp3fD9mXZbNP/KRbF/Wjzn3NK+gGee8yIYjH7MWxqxB+GkXwoB+U04+HWJ66nCmAbiACSlRY2o+ZLg5Y/cz8mGG514nuGCxABdQoPmswNpfQQAFWqdINQ+I/2qB9n2bZSvKqDDT/1bzaYxDM86N+uJuX/NerD8lRXXc//qeaZOQTjFtRQRcQHFC3JmWD63E7dRvfj50cqxCLLhgwQIXUKBVpA2aPgQBFGidAtE8IFYUaFdMH3sHTRYx4o7Z93O5uGnG+Qp4rq/3q/Sup+t648qcSYj3fXnfG9NWaMAFFCfEnTn50Mrafv3m5kM/v2okgwsWLXABBVpN3qDtMxBAgdYpDs0D4j9ZoNlHAF9r4j4Z34VZ3k2POjbjfDHu38/q7ggu+2Obv3UHrV9MW0MDLqA4Ie4QD+g35ZHfVvJ26DcrHzq40iwSXLDQgQso0JqTCB2nIYACrRP0zQNiRYGm74L57a95r+Jdr2Ux70/4ppdva8z37YuN17JGbTeIoneNXua1LGZVcuvh3Cf6f6pA2+8eEVYEa0XM6vE57/G8Sci1mJ57nG7RnHNpcYV7wYVCoIY1e14+DHM9UDQnHwITpm+ACzYE4AIKtOnJCAOqEUCBVg1ZWYfmAbFisi+LLLLKbuv3u/y2vIHFfVdZyIl3w2RbLkDid8es7KBtGTy+Fd9BaxTSjLO3oGnt+xUFb0XMmpSddHrcJORiTE/czR4GF3D3iMjxuHzIMrbvgVn50NerOunggsULXECBVpc5aP0EBFCgdYpC84BYMdnnIou/4ugLNHnH7OsLN1EEybb+LliqLb9rJGUSaKm29WCyHcK0KiHNOFdpOWlcEbMTSU2HnzYJuRrTJhD2ifn0x9rAhdbw3dbvaflwm2OVgh4xNlbafHdzcMEiCi6gQLs7tyCvPwIo0Dph3DwgVkzw7ETYf2afJ8bRu1CJOxo1bbMQJeRm2yYOfPjuXWt1hkn5huqTJiF3xDRBlaJdzTlXJL2wUUX+FkqsavYkLlQZfmNjYGDBfEQ+3BjXFlHgArjAvJmdD7P1Mw5Y/h0EUKB1ilVzMlZM8NIFmi/YvGvxO0G671Fbd+z7Nd/Px3zeb0OPRrrP5le/P0Z33/Z35Kr7Omu2lWacQzHXtipidk1RujdhQL+5d4/ui2nay/O94AIe7yOWPCMfzvnau8Uj8qG3kyfywQULELiAO2gnqYLDD0QABVqnoDQPiBWTfV1k6W3v2sUCbftAiH+XLXoXrarI4kcmX4a+6ije5PLmVqw141yh47RpRcxOZTU0mD8JuTemDRBsXcAFFCdEhPn50Mrge/s9Ih/udalaGrhgIQMXUKBVJw86TEcABVqnEDQPiBWTfV2Q6W3v2pUCTUy+l9Ws69t86C4a3U3jRxyLC7SPWW/+o87NOHtwrq9VxOy6sljC3EnI/TGNPSzbAy6gOCGmzM2HMq6OaPWIfBjh6IEOcMGCAy6gQDtIExx6KAIo0DoFpnlArJjs64JMb3vXLhRoXISl3hPbbX0VFWi7Da/XDZ/m95414+xFXF+riNl1ZbGEeZOQPjGNPSzbAy6gOCGmzMuHMp6OavWIfBjlbEYPuGCBARdQoGVSBLsfjAAKtE7BaR4QKyb7uiDT2961Gwq012r8nzz7ms9b/p218z8ybW2j4sxbdcdaM853KGcZFTHjLncuZ01CesW0FRtwAcUJcWdWPrTytle/R+RDL+cK5YILFihwAQVaYcqg2YMQQIHWKRjNAyLflRJ/k0y/88VfadQFmd72rl0o0Ix4xDFn09kdNL4Ll+u/7V9NS+3WjLMH5/raLxZoHWPaGhBwAcUJcYd4QL+5H81pZfF9/R6RD/e50yQJXLCwgQso0JoSCJ2mIoACrRP8zQPi4wo0Auhr3vzVxa2YWsxC76J9P+a9vVOW+nKkALbApxfdoRNdSlebcS5VUNLuFwu0jjEtgTzVBlxAcUK8IB7QDwXaf8AAXNhy4RFj42bJvP9mYzBb/zzkobkVARRorcid9EMyngB002HgjAkpUwlcABeIC8QD+qFAQ4EGLtjREWOjHRdmjgmIgeUi/i9HAAVaOVZVLZGMHq7X/4U0O9v2Pc/XRuN8Zrs+fu7B9RaEAf1Gnny0n2fb1708lwAuoDghlszIh3N2jm8xOh/Ge3iuEVywGIELKNDOswUtnoZAOHN+mnV/2B4MiGHweAJfugx757dm4FzqA7fLW3/PkVmTEPavdHmPt3kp4AKKE2LHrHzIM3POkRn5MMfTvFZwwWIDLqBAy2cJjjwVARRonSKDATEGlifyfORsm9sdLWfhfGa7Pn7kw9VjMych2s+z7au+HvUHF1CcED9m5sMRP0cfm5UPo/080gcuWHTABRRoR3mCY89EAAVap7jQgIh/wGAUB4jGo3RBz7N5DS7YR37B02fzdFR8kA/gwSiunekZ+RpCp6ktxA5EAAVaJ7ApUSkZ8Q8YjOAA0XiEHuh4Pp/Bhf9tozq4+nyujogR8gE8GMGzUh3b4IT/gEABAijQCkBqacIFWktf9ClHADjjkS5mC7gALhAXiAf0ownTL/+QD+AC8x9csFyYOSYgBsxGLEsRQIFWilRlOyRjJWCNzYEzJiFMHXABXCAuEA/oN3MyxpycuUQ+gAvMP3DBcmHmmIAYMBuxLEUABVopUpXtkIyVgDU2B86YhDB1wAVwgbhAPKDfzMkYc3LmEvkALjD/wAXLhZljAmLAbMSyFAEUaKVIVbZDMlYC1tgcOGMSwtQBF8AF4gLxgH4zJ2PMyZlL5AO4wPwDFywXZo4JiAGzEctSBFCglSJV2a45GT+reb1eZnl/TzV+1pd5vRZT0DSSdaVvJKx4x9d81mXzj3wk29cW44W+ZpyFjOurH7MWxuy6rlgCYUC/OSef+2Mae1i2Zx4XnoXBPC7IOM3Libn5IDGYuz4vH+b6LbWDCxYNcAEFmswLrP8NBFCgdYpT84D4zxZoX/NeqChL/Fs/zVFoxrlZo+7o/SopqnXvO7bnTUK871FcL8S0FZM5XHgeBoTfnGKdI+cxmZET8/KB/X/Gck4+PMN3tgJcsEiACyjQOCew/DsIoEDrFKvmAbGiQLti+ug7aN/3fuds/Rh3b/Brr7K33gUk/5txvgKe6+snoqV3PV3XG1dmTUJ6xbQVmhlceCIGhN+8Am1+TszKh1be9uo3Ix96+dIqF1ywyIELs+cK8/W35hD6zUMABVon7JsHxH+yQONJ22r0vTKe4LZeaW/G+WLcv5/VLPvdwGWxxWerDxdNmfTOTb+YtuIxngvPxIDwm1GgPSUniAezMGjlbo9+4/OhhxfXZIILFj9wYX6BhBhcy+Vf7I0CrVPUm5OxokDTd8H89te85btey2LeH3ffavPYtzXm+/bFxmtZo7ZbB7rbtRci7nG2ZTGrklsLJxdorU/ENeNca2jQfp+YE1YEa0XMAjE3bRAG9JsxKU+5cDWmKZkl++ZwIW3ZTAzIovFceE5OPC0f0gzpv/dJ+dDf27QGcMHiAi6gQEtnCPY+GQEUaJ2i0zwgVkz2ZZFFbtjtxDte+50eWQRx31UWcuL9MNmWCxBXmIl2tC9oW4Hn9/Pe70LFd9ZKxTTjXKog0+77FQVvRcwy4i7tftIk5I6YtoIxiwva3tkYkD3jCzRjnpITT8oHzY2R20/Jh5E+a13ggkUEXECBpnMD289HAAVapxg1D4gVk30usvhDiL5Ak3fM6Atze9EmKim3j76k6O6CpdryY1xSJoGWalsGJt9d2Aq+5W2c+rLuQatmnAMpFzcqYnZRU7L7EyYhd8Y06WTBztlceAoGBNWMAi0I0cSceEI+BFhM2pidD5PcDtSCCxYOcAEFWpAY2PgTCKBA6xSm5gGxYmKTK9Cid6G++52qRIFW0jYLUUJutq04QBNZem+L3+Gixyr1u2mi+eFqM86HUisPVsSsUnJR8ydMQu6MaZHTiUazufAUDAgaFGgPwCDB0ZG7ZufDSF9zup4wNuZsG7kfXECBNpJv0HUPAijQ7sExktI8IFZM9tMFWurvou1fS1ze7guKuq93IG7rjn2/5vv5mM/7bejRSF9gebmubeGKu+sgbCvsujVrxrlGyVnbipidiWo5/rRJyNWYtmBAfR7Bhd34mRiQCSjQHoBBK5Fv6vekfLjJpWoxTxsbqx24qQO4MP/8gBjcROYfEoMCrVOwm5OxYrKviyy97V2Li66atmb7QEj+3bZXY3Fl7ROPUIrXurztx2vNOB+LrTtaEbM6wWWtCQP6TZ+UO3OvxdSJqVx5BBeczfMwIBOmc2FiTjwvHxwphq48Kx+Guu6UgQsWCnABBZpLCqz8GQRQoHUKVfOAWDGx0UWW3vauXSnQeKL5MvQo4rq+zYfuotHdNH7E8VKBxh83Sd358x7k1ppxzgls2V8RsxbxZ32eOAnJc/HMm/bjj+CCMH8WBmQCCrQHYCC4MGP1afkwC4NH5MMM54VOcAEFmqADVv8IAijQOgWqeUCsmOzrCaDe9q5dKNC4CBPvrzm5u63nd9B2/a/Uu2ZcAKaOOU3ZlWacsxIbDlTErEH6aRfCgH5jJ+X9YnrqcKbBeC48E4PxXEgEZGJOzMmHBAaTd43Ph8kOJ9SDCxYUcAEFWiI9sOvhCKBA6xSg5gGxYmKjCzK97V27oUCj4so9gvg1n7f948z8JUZ3yCsN1qxtL/NaP+49OHp08r3EX5gMOp5sNON8IrfqcEXMquQWNp41CekV00K3o2YzuPBEDAiYscV6FIqpfxtwVj4kUJi6a0Y+THU4oRxcsKCACyjQEumBXQ9HAAVapwA1D4j7ZD/3N8doP395URdketu7dqFAM3yH6+o7aHy3ISEHX3H0oWpYmzcJ6RPTBgi2Ls0516pw6/c8DMgsFGgPwOASr653npMP1+2+U8K8sfFOL67LAhdQoF1nESSMRgAFWifEmwfExxVoBNDXvIM/aL2Yhd5Fc3fASt8fS8kRd9QaYtGMc4OubJcfvYNm8bg/plmcTw7M48KzMCCYUKA9AIMTvvY+PC8fentWLp8woN/0fCg3uUtLcAEFWhdiQWhXBFCgdYIXA2InYJVY4GxPPAQLJiH/AQNMSLc/t4B8mD8hVUP1lE0UaBZ2nCfn5wNiMGUI+NNKUaB1Ch+S0QP7+r+QZmfbvuf52micz2zXx889uN6CMKDfyAJN+3m2fd3Lcwngwpxi/Sz2+vh5JK+1mJEP1yzu03t0PvTx4ppUcMHiBy6gQLuWSeg9A4Fw5jzDgn9UJwbEMLA8SStdhr3zWzNwLvWB2+Wtv+fIrEkI+1e6vMfbvBRwYU6BRhEp5QC3y0fx+pFZ+XDd8nslzMiHez24Lg1csBiCCyjQrmcTJIxGAAVaJ8QxIMbA6snZ2XYsId4zC+cz2/Xx2PL79sychGg/z7bv8zqWBC7MK9AoGmex18fjCN6zZ2Y+3OPBPVJm5cM91t8jBVywOIILKNDuyShIGYkACrROaNOAiH/AYBQHiMajdEHPs3kNLthHfsHTZ/N0VHyQD+DBKK6d6Rn5GkKnqS3EDkQABVonsClRKRnxDxiM4ADReIQe6Hg+n8GF/22jOrj6fK6OiBHyATwYwbNSHdvghP+AQAECKNAKQGppwgVaS1/0KUcAOM99rK08Uv1bggvgArGMeEA/mjD98g/5AC4w/8EFy4WZYwJiwGzEshQBFGilSFW2QzJWAtbYHDhjEsLUARfABeIC8YB+MydjzMmZS+QDuMD8AxcsF2aOCYgBsxHLUgRQoJUiVdkOyVgJWGNz4IxJCFMHXAAXiAvEA/rNnIwxJ2cukQ/gAvMPXLBcmDkmIAbMRixLEUCBVopUZTskYyVgjc2BMyYhTB1wAVwgLhAP6DdzMsacnLlEPoALzD9wwXJh5piAGDAbsSxFAAVaKVKV7ZqT8bOa1+tllvf3VONnfZnXazEFTSNZV/pGwlp3VPiaU9GMc05g0/6PWQtj1iT+pBNhQL+ZJx9n4g0xdbIqV2Zy4ftZzbJQPtp/y/o2n/MUrvTwvDm48KRJ+fxx4RFjwjltu7V4VD508/Jc8Myx8dy6MS1mYzBb/xiUoeVOBFCg3YmmkNWcjBUT3CtF1pW+ws0Lq3byUlqM5hQ145wTWL3/a977xLykqK4WX9CBMKDf/MnYPTEtcDnZZBYXbC754oyLtNdrNZ+kpf12ggtPKdCeMS7MHxP6cb1E8nPyocTafm1mjY39PKqXPBuD2frrEUOP2QigQOsUgeZkrCjQrpg+u0D7vhd/t6HlFuDufDPOV8Bzff0k7Gqh6UQ2rBAG9Js9Gbsrpg0QbF2mcGHP160Yc3fMvoaLttFFO7jwhALtOePC7DGhNZfv6veUfLjLn1Y5U8bGVmM79ZuNwWz9nWCF2I4IoEDrBG5zMv5CgfZ9m+X1Muta/jhnLkzNOOcEFu7fHmnjx9kWW2yOnoyzqYQB/aZOxm6MKftVuxzPBZ6Ipx4z3u8mLm/j6rZahxragwtzC7SnjQtTx4QG/t7d5RH5cLdTDfLGj40NRnbuMhuD2fo7wwvxHRBAgdYBVBLZnIwVBZq+C+a3v+a9+jtUr2Uxb/VCjG9rzPe9bgXT9mjWskZtN4i+H7PuhYh7hGtZzKrknsO5T2rXjzEVvubkNuOcE1i0f/eBsKLZ9w1+FKnNNCIM6DdvMnZvTDNunu4ez4W9CCMuP+QHLsws0J43LswbE56REPPz4Tk4gAv/TTxHXpgTPoNCsGICAijQOoHePFmsmOzLIovcsNupd2HsPjmP5L6rLOT2O0JUgMm2XIC4wky0i9qe4Gkfg9vvOFT4mhPbjHNOYOH+71fcF7nBj0K1yWazJyF3xzTpZMHO4VzY7xpud063Cxg+9371IyFP4MLMfHjauIBJ+eyLVwUD14Amw8fGAT7VqpiNwWz9tXih/XwEUKB1ikFzMlZM9rnI4le4fIEm75j592FeouqSbf1dsFTb/aowfS0yuFuWansCppzQUtMKX3OSm3HOCWzZf4MfLWq5D2FAvymTsQ4xZb9ql8O5wHFfFn8HOrh48WMfCXkIF6bmgyQt84MHaHlswPrwfBjgU62Kx3Ch1vCb24ML8+9gIQY3k/oHxKFA6xTk5mSsOKnnCrToXah94pQq0EraZiFKyM22Nfz4j3gnp8LXnNxmnHMCW/bf4EeLWu5DGNBvfIHWJ6bsV+1yOBf2uG93lhfxWf3vx33ZU+ZcrT8t7cGFmY84qog9YFwYPyYoDCZvzsuHyY4r9cPHRqX/CZuzMZit/wkxgA11CKBAq8OruHVzMlac1NMFWtkHC3Rf79jBxw2+X/P9fMzn/Tb0aCR96IMnp+KBPy9KrAWPPvH+Cl+5i14246wFXdm+wY8r6gkD+o2ejPWKaSsWw7mwxz39OX2+8zz2Lhq4gAKN82d4PrDiBy1n5cODINhMARdwB+1pnIQ95wigQDvHqKlF84BYMdnXRZbe9obHRVdNW6Per4neRTv7Up1+9IkNq/CVu+hlM85a0JXtG/y4on7KJKRjTFuxGM4FLtDEo8PS9nyOyVb3roMLKNCYUcPzgRU/aDklHx7kP5sCLqBAYy5g+XcQQIHWKVbNA2LFZF9PAPW2d+1KgcZ3Al7mtaxmXd/mQ3fR6G4aP+J4UqDZOy3+AwpRgbfdiUvd+fMe5Naacc4JbNlfEbMW8Wd9ZkxCesb0zN/c8eFcOOF/Ph9zHlzfDy6gQGMWDc8HVvyg5Yx8eJD7zhRwAQWaIwNW/gwCKNA6hap5QKyY7OsJoN72rl0o0HgSmrpLwHcQUKBtj3pG7/P5AHRdmzEJQYFGId3zij6gEz3jy8f+/Uccn8aFGfmQTPCKsTzZ/+LO5nPQRb1P6v4YLkwGBVxAgTaZglDfgAAKtAbQSro0D4gVJ3VdkOltb+cNBdprNf4jjl/zecu/syY+/OGVnq9V+JoT1oxzTmDL/hv8aFHLfR41CZmIxQwuuOJkEfnxkx8JYTaK5SQuPCYfJvnPEZiRD6z7KcvHcGEyIOACCrTJFIT6BgRQoDWAVtKleUDcT+rpxwDtY4J8p0YXZHrb23mhQOOvL/IHQVLLkzto3g61dsMEphlnZcqlzRv8uKL/UZOQiVjM4YJ4BFjnBhVtVwLb0BdcwCOOTJs5+cDan7F8VD5MhARcQIE2kX5Q3YgACrRG4M66NQ+IjyvQyNOveQd/0Hox9g/x8ufEU494nSGEv4NWgFBRk0dNQn6uQLP58Xmv/qumr5dZ1o+Jnnosiua1RuACCjRmUPM5iAX8A8tH5cNEPMEFFGgT6QfVjQigQGsE7qwbBsQzhO45DpwfNCG9J6TNUsAFcIHIQzyg3+g/O9FM3E4dkQ/gAlMLXLBcmDkmIAbMRixLEUCBVopUZTskowfs9X8hzc62fc/ztdE4n9muj597cL0FYUC/kScf7efZ9nUvzyWAC3MmpGex18fPI3mtBfLB4jc6H65FrU/vGVzo48k1qeACCrRrDELvGQiEM+cZFvyjOjEghoHlSVrpMuyd35qBc6kP3C5v/T1HZk1C2L/S5T3e5qWAC3MKNIpIKQe4XT6K148gHyyGM/LhevTulTCLC/d6cV0auIAC7TqLIGE0AijQOiGOATEGVk/OzrZjCfGeWTif2a6Px5bft2fmJET7ebZ9n9exJHBhXoFG0TiLvT4eR/CePcgHi+OsfLgnivdImcmFezy4Rwq4gALtHiZBykgEUKB1QhsDYidglVjgPHdSrsIxdRNcABeIgMQD+o185Hcq8TPKkQ/gAlMDXLBcmDkmIAbMRixLEUCBVopUZTtKRvwDBqM4QPQcpQt6ns1rcMEWaODps3k6Kj7IB/BgFNfO9MwsECunsGj+AARQoHUKAiUqJSP+AYMRHCAaj9ADHc/nM7jwv21UB1efz9URMUI+gAcjeFaqYxuc8B8QKEAABVoBSC1NuEBr6Ys+5QgAZzzGw2wBF8AF4gLxgH40YfrlH/IBXGD+gwuWCzPHBMSA2YhlKQIo0EqRqmyHZKwErLE5cMYkhKkDLoALxAXiAf1mTsaYkzOXyAdwgfkHLlguzBwTEANmI5alCKBAK0Wqsh2SsRKwxubAGZMQpg64AC4QF4gH9Js5GWNOzlwiH8AF5h+4YLkwc0xADJiNWJYigAKtFKnKdkjGSsAamwNnTEKYOuACuEBcIB7Qb+ZkjDk5c4l8ABeYf+CC5cLMMQExYDZiWYoACrRSpCrbNSfjZzWv18ss7++pxs/6Mq/XYgqaRrKu9I2Ele7YfSP/9L8Sf1NqmnFOCWve9zFrYcyaVRx0JAzoN+Xk0yGmB64eHhrLhfOYf9+rWRzXF7OsH3Oe1Ycunh4cz4Xn4TAeAxGWn80HgUGwes6PoPnNG1O5cLMvV8SNHRuvWNqv72wMZuvvhywk90IABVonZJuT8R8u0GxRGBdnpQVpKlTNOKeENe37mvdifWotMpvUik6EAf1mFGg9Yipcq1odx4XzmGdxWT9VPtU2HsuFZ+IwFoMwQtm4T7iAMy4fQgz81jk/fNs+azO50MejNqnzudBm9529ZmMwW/+dWELWGARQoHXCuTkZKwq0K6bbiUTb3bc2vfvJennfehehGec2J1QvPwG5UmQqodWbhAH9xhdofWJaDcDeYQwXCmL+fe93zlbz4VtmX3sngXjSs0Ybx4Xn4jAOA83UX8wHjQFvF/CDm3ZczuNCR6caRI8ZGxsMG9hlNgaz9Q+EGqpuQgAF2k1AajHNyfjPFmj7BPXm2Wkzzjpgldvfj398bVmW4sdSK9UUNScM6De+QOsT0yKnE416c6E05nwXJaI6F27RgYQzjbtGcOHpOIzAIB2e38qHNAbGlPIj1//O/fO4cKcX12X1HhuvW9hfwmwMZuvvjzA03I0ACrS7Ed3lNSdjRYGm74L57a95r7Zo2N71WhbzdpfyrYG+rTHBuzLLGrXdetAdgL0Q2WTSuzXLYlYlNwvnPjm9+zHAZpyzhpYc4Cvlq33/ryJmJdJr2xAG9BteoHWKaa3/3L4vF0pjzncOVhM/zHh0jL24tuzPhefj0B+DTIx+Kh8yGJhSfuT637t/GhfudeOytL5j42XzhgiYjcFs/UNAhpJbEUCBdiucXlhzMlZM9mWRRZrtdvodL/1oFfddZSHnPmigHsPabXKFmWin5XoE1NouY32Hhd6yvv1jYKpLyWYzziXCD9p8v/zs2gb8b95B6xTTA9gPD/XmQlnM97somUd5Oe9aPuxz6Px+kDCgX89i/ek4jMAgGYsfy4ckBsaYMn7ket+7fxoX7nXjsrTeY+NlAwcImI3BbP0DIIaKmxFAgXYzoCyuORn3k3zJnSY92fMFmrxj9vWFm3i0Srb1d8FSbfmqv5RJXqbasvfx8vsWd/RUgfd6pe42xDJSe5pxTglr3VcRs1YVR/0IA/r1nJSn9PeKaUpXyb6hXMjG/N8v0IJYPBAH5ION0NB8CEghNrL8EG06rs7iQkeXmkQ/ggtNlt/XaTYGs/XfhyQkjUIABVonpJuTseKElivQouIu8e4LF2glbbMQJeTm2jp98lPj34/7AuJLFI85Gan9zTinhLXuq4hZq4qjfoQB/UYXaL1ieuTr0bGhXMjGHAWajdE8HJAPNgJD8yGXmNk8yXW4d/8sLtzrxXVpj+DCdTcuSZiNwWz9l8BD5ykIoEDrBHtzMlac0NIFWurLjPFkSff1MMRt3bHv13w/H/N5vw09Gun+xlPmcS7X73CF79C13UVrxvnQpsqDFTGrlFzUnDCg3+gCLW/ctZjm5R4fGcqFbMwP8sc9hpzK0WPfSo8O58IDcRiOwUlBB4oAACAASURBVGlwfiAfchhk+ZHrcO/+53HhXv9KpQ0dG0uNGtxuNgaz9Q+GG+puQAAF2g0gpkQ0J2PFCU0XWXrb2xVPGmvamu0DIfl3216XCjR+d65t0tqMswfn+lpFzK4riyUQBvR7ToF2Laaxh2V7hnIhG/M416T1+byTrdrXh3PhgTgMx6AgXL3jnjJhaD6kDKB9WX7kOty7/4lcuNfDMmmP4EKZqd1azcZgtv5uwEJwNwRQoHWCtjkZK05o+qSvt71r8aSxvC1f/aWvNq5mpY960F00upvGjziiQPvNj4R4gkVreX5FTW/b0ZxzLRZk85TzJXVH+OhYixFxH8KAfsOK9QfiMByDOAzRnn8+HyKP9x1ZfuQ63Lv/iVy418MyaUPHxjKThreajcFs/cMBh8LLCKBAuwxhWkBzMlac0PRJX297yy4UaFyEpd4R2209v4MW649sa/xQSDPO3oDraxUxu64slkAY0G/YpHzT1i+msYdle4Zy4SDmNg/Vl1DJhaNcKnPxtNVwLjwQh+EYbFH58XzIMfOAH7kud+6fw4U7PbhH1tCx8R6Tb5cyG4PZ+m8HFAK7I4ACrRPEzclYcULTBZne9q7Fk4fitjyppALKfVn+az7yq4wFd9B40rpkPhISfazEG3+41ozzodTKgxUxq5Rc1JwwoN/YAo0fY3yZu2Na5HSi0VAuHMXc5Yz48ik9Jrx/vTR1rSPhTtOu4Vx4IA7DMdgj1WuMayKCMWZoPuSMPOJHrs+N+2dx4UYXbhH1CC7c4km7kNkYzNbfjhx6zkIABVon5JuTcT+h5f7mGO3nYkYXWXrbu3ahQOM/PBp9Gl+8k1ZQoBnjJ6iRb0X9vTdyrRlnKeTq+s9OQvrEtDUcQ7lwEnOerEdc71md7ZNywm9Ysf5AHIgHQzFwhP3hfHAYqJUTfqjWt2/O48LtrlwSOHRsvGRpv86zMZitvx+ykNwLARRonZBtTsb9hBZN7ESBNLZAI4C+5h38QevF2D8wzZ/JL/zAB31WP5LzMe7GXEMsmnFu0JXt8suTkA4xzeJ8cmAoFwpi/n2v/kunL8qZa1w/cX87TBjQ7ykFGtkyGofhGGyI7//9aj5IDOR6QZ7I5nevT+XC3c5ckDd0bLxgZ8+uszGYrb8ntpDdBwEUaH1wfcbjJZ18e5JYDHr2USaKyf+3dyXWrqs6NHW5oNRxS0gJr4o0kyZ+B/5LxgIxWmADTs7OWvd6whq2tgR4OsMG5XcigLAFXAAXiA7EA/ohH/4HDMCFLRdQG+c/8osYbFTEfxUIYIJWAVZNUySjQ+vxz6fZ0bY783htNM5HtofHjz0434IwoN/IAWno59H2eS+PJYzmwrFF41vM4MJ4L8saZ2BwxP/weNmDa46OzofQx6Pta7wsS5nBhbJFc46O5sIcL8taZ2MwW38ZHRy9IwL+yPmOFn6pTUhGP3DcWWuX/tn5rRk4a33gdnnrrzlCGNBv5ASN9LF/2uU13ualzOBC3po5R2ZxYY63aa2zMNDmAbdLW3/d3hn5wL5pl9d5m5Y0iwtpa+btncGFed6mNc/GYLb+NCrYe2cEMEHrFB0kYwwsd9p85Gib25WWs3A+sj08XvLh7DHCgH6jJ2ikM/TzaPusr6XzZ3GhZNPoYzO5MNrXnL6ZGBzxPzye8+GK/bPyIfTxaPsKX3MyZnIhZ9OM/bO4MMPXnM7ZGMzWn8MF+++LACZonWJDyYh/wGAUB4jGo3RBz715DS6YCxbg6b15Oio+yAfwYBTXjvTMuIjaaYgLsQMQwAStE8iUqJSM+AcMRnCAaDxCD3Tcn8/gwn9bVQdX78/VETFCPoAHI3im1bEVJ/wHBBQIYIKmAKmlCU/QWs7FOXoEgDO+WsdsARfABeIC8YB+NGD6yz/kA7jA/AcXDBdm1gTEgNmIpRYBTNC0SFW2QzJWAtbYHDhjEMLUARfABeIC8YB+MwdjzMmZS+QDuMD8AxcMF2bWBMSA2YilFgFM0LRIVbZDMlYC1tgcOGMQwtQBF8AF4gLxgH4zB2PMyZlL5AO4wPwDFwwXZtYExIDZiKUWAUzQtEhVtkMyVgLW2Bw4YxDC1AEXwAXiAvGAfjMHY8zJmUvkA7jA/AMXDBdm1gTEgNmIpRYBTNC0SFW2a07G93N9PB7r8vocanw/H+vjsayKppGsM+dGwip2fN7PdVnIbvNveb7W97GrWQ3NOGclthx4r09lzFqkH51DGNBvVudzdUyP/M0dH8uFg5jvecw8l0tNbud8PNo/hAuf9/pcFpvDVIOW53vNpfHn9VyXPd+P2h75pzk+BAPPkPtyATVhbm10NDngiGvYZW1sbeziwmmhszGYrf80gBAwHAFM0DpB3pyMPzxBM5NCNzlzg9bn+m6MQzPOjfri0z7ra59w9hx4x3rdHsKAfjMGYz1i6jyrWxvHheOY53HRXXyp89y17s6Fz0tMtsJcjvM4i8OzNeOdr7m17hh4iu/NBdSEebXR0eSYI65tn7VxtbGP/VdInY3BbP1XYAgZYxHABK0T3s3JWDFBO2O6GTi13X1r0mvvKDzFHbPPygO41slNM85NToQnuY6XJputPoRSa7cJA/oNH4x1immt/9x+DBc0Md/bLK/sXSW2+eplXy4435eXuGP2eacvUtjJnMh5uvu2303rNUfri4GMmMMjn/9zuYCaMKk2WppoOGIbd1sZUxu7mX+J4NkYzNZ/CYgQMhQBTNA6wd2cjD85QeNOKjUh3AdsjYPZZpxPxn17rI8f09wf9/pbE7R+MW0NTW8u6GO+c7rXDKQAEGFAvz4D84JfPBkTecwXXyIYuG10oOBYxaG+GBhDvoULfXiQC8Y9awJZOxaHWo7k8Lxuf+/aeJ2l/STNxmC2/n7IQnIvBDBB64RsczJWTNDCu2Bu+7O+nuIdkWVZX8GLXq7tunrviCzPqO0GUfTeyWN9LMv6DOSm4SwM7NInqPc246zWkGq4D0QIK3rxpiJmKWln9xEG9Bs7COkX01Y8+nKhIub7BGTGhH0OFyhiOx/sBI0H6/Fjj+taOtYafXdefwy+hwuoCTNqI3GxgiOOut3W+tbGbmZfKng2BrP1XwomhA1BABO0TjA3J2PFYF9OssgNsx2+F+K25QVrPvcpJ3L2Rf7HKtvyBMS9M+Zk0j6vbQpPOWDdJnru/G/9SMjnIz6JUBGzFDxn9xHX6Dd0MNYxpq14NOecUqE65jsfni//Yxpnua4xcwoXyLDorlg4YfOt5/rT8oEjX1K8NQKDb+ECasKE2rhTUs2RmMKX7+ldGy83uIPA2RjM1t8BUojsjAAmaJ0Abk7GisF+OMhxEzR5x8y95/UQMynZ1t0FS7Xlq91SJoGWapsBk31alswHBlJX2TOygt3NOAdyTm2yfz1GmwrDCAP6DR2Msc8dYqpwOdlkKBfY/0TMPy9x91pc9DAXONq5nnQ62DmFC+LikCsxvz1B82C/MRdQEybURo8c+0aBI6nmV+8bWhuvNv4iebMxmK3/IhghZiACmKB1Ars5GSsKeW6CFj1aFV3ddnfbNG2zECXkJtvuPm0D1EV8Vl98XEBOHpMyMjubcc7Ia9pdEbMm+QcnEQb0mzEY6xHTA3ezh4dyoRBzvvjhfXr+Aq5nHRcHZnDhzXfh3ews8cijMNJO6FLvpPrtWraGY3BjLqAmTKiNKdIWOJJqfvW+obXxauMvkjcbg9n6L4IRYgYigAlaJ7Cbk7GikKcnaKlBT3w1OzzXwRC3tcc+n/Xzfq/v12ulRyPt3zay753Ylv7K7tPjkbp7wHfoUsd8MamtZpxTwlr3VcSsVUXpPMKAfnMGY6m4nYtpydfSsaFcaIp5f1zGcoHuou93C6MaUKgjf2iClufrGC6gJkyojamgN9WLlKC2fUNrY5uJ3c+ajcFs/d0BhoLLEcAE7XJIjcDmZKwo5OEkK9x2rsWDpZq2a/DemHlUy71H9ogGZ07ztrb7lLtLlrclkJPYbMY5Iat5V0XMmnUUTiQM6DdlMObdNXFGnompk1K3NpQLjTHvjcs4LvAE47FSXos3MvegxTVHRrMnDuMwYFef2x/tjp5GkA4n1ntiQOqG5gMp7FjnE/Cpdg3nQs6qxnqRE1e7fzgXag0c0H42BrP1D4AYKi5GABO0iwFlcc3JWFHIww4+3GZb4i+s8SOOmrttYiC2PNfn87W+6S4a3U3jRxyPJmgH7fJ2Ow9ya8045wS27K+IWYv4o3MIA/oNnaB1jOmRv7njQ7nQGPMzXM/5LfeP4QJ9/MRcoMlPSrhujL/DOgYDgfqNuYCaMKE2CmrY1UaO2PNPrgytjSdt7XX6bAxm6++FK+T2QwATtE7YNidjRSEPB3vhtnMtvpqtbssD8dSdkt3Wwzto/AnuR2FCmHz80XmQW2vGOSewZX9FzFrEH51DGNBv6GCsY0yP/M0dH8qFbMzjXHP27scaue7k5Nf6c4F9oK+3xvfNpGWmxiS+8lqqKVJA43p/DALDbswF1IQZtTHgB21mOZJo22HX0NrYwf4rRM7GYLb+KzCEjLEIYILWCe/mZKwo5OEkK9x2rsWDRnVbHkzRoNKOxz7rW36p7ugO2vYVbn5XRci54MMJzTg7cM6vVcTsvLJYAmFAv7GDMfqyep+Yxh7q9gzlQiHmPDHJfSQkf9dJ52epVW8usG+p6zWRXbZ2iC/A0uPS+5ctVTIiocc7emMQWXBjLqAmzKmNNRyJ2nbYMbQ2drD/CpGzMZit/woMIWMsApigdcK7ORn3zj56z0t8rpsHeOEkK9x2rp2YoPEf3BT6I9sUEzT7hztTcpbUY1DO+tJaM84lobXHCgO0WlEt7QkD+o0ejPWKaQsGdM5QLhRj7iYhbbnSioDBoBsX7IRLvH8a5bOfyzyhi3DoNTvbedANg1RobswF1IRZtTEgSpEjQdsOm0NrYwf7rxA5G4PZ+q/AEDLGIoAJWie8m5NxL+TRgEYMhMZO0Aigz/rir7Vtdiyr+aO77/W1vYuSenQxBSzdeXu6rz8+Hqt3lyF1ysG+ZpwP5FYdvkHnS/aOH4yR1utjWoW9aDyUC0cxp7vDUc6kPqYhHLhglTCgXxcuKGpT6kutHy/nqXb0xaErBqkY3ZgLXXiQwsDbd6+a0C0fPJ8PNo44cnD62cNDa+NZYzudPxuD2fo7wQqxHRHABK0TuEjGTsAGYoFz57smAd533gQXwAXiJ/GAfnMmJ/fJEOQDuMBsBBcMF2bWBMSA2YilFgFM0LRIVbZDMjrAHv98mh1tuzOP10bjfGR7ePzYg/MtCAP6jex8Qj+Pts97eSxhNBeOLRrfYgYXxntZ1ggMDD6j8+GoBoTHy1G85ugMLoR+Hm1f42lZymgulK2Zc3Q2BrP1z0EdWs8g4I+cz0jCuR4CSEYPjpU7Ke3SPzu/NQNnrQ/cLm/9NUcIA/qNnKCRPvZPu7zG27yUGVzIWzPnyCwuzPE2rRUYGFxm5IO2FnC7dASv2zuLC+yfdnmdx2lJM7iQtmTe3tkYzNY/D3lobkUAE7RW5A7OQzLGAHFnxUeOtrldaTkL5yPbw+MlH84eIwzoN3qCRjpDP4+2z/paOn8WF0o2jT42kwujfc3pAwYGmVn5cFQDwuO5OF6xfyYXQj+Ptq/wNydjFhdy9szYPxuD2fpnYA6d5xDABO0cftmzKRnxDxiM4gARcZQu6Lk3r8EFc8ECPL03T0fFB/kAHozi2pGeGRdRs4NUHLg9ApigdQoRJSolI/4BgxEcIBqP0AMd9+czuPDfVtXB1ftzdUSMkA/gwQieaXVsxQn/AQEFApigKUBqacITtJZzcY4eAeCML5UxW8AFcIG4QDygHw2Y/vIP+QAuMP/BBcOFmTUBMWA2YqlFABM0LVKV7ZCMlYA1NgfOGIQwdcAFcIG4QDyg38zBGHNy5hL5AC4w/8AFw4WZNQExYDZiqUUAEzQtUpXtkIyVgDU2B84YhDB1wAVwgbhAPKDfzMEYc3LmEvkALjD/wAXDhZk1ATFgNmKpRQATNC1Sle2QjJWANTYHzhiEMHXABXCBuEA8oN/MwRhzcuYS+QAuMP/ABcOFmTUBMWA2YqlFABM0LVKV7ZqT8f1cH4/Hurw+hxrfz8f6eCyromkk68y5kbDDHe/1+SBbS//a/GjG+dDmmgbGP03MaqRq2xIG9Bvb+fSLqdbvsF13Lnze63NZBI+XdXm+V0WmbvwfwY8xXPis76ePwzNXhPZ6lsr9XngAA5MZyIdZE7Q/WBvDYpzcnt9Pju0jfRC656OvDls/gAAmaJ2C2JyMmKBVRaQZ5yotpcaf9bWYiWevAWdJOx0jDOg3tvP5Y4OQz2tdshcYnus7G6Sx/OjPBedPNOl6xiiYC0HpCzO98gUYGDJ2rY3Ih2zGr+sfq40FJNwhVzd65b3TlV7rmg9pld7e2fo9Y7DxFQhggtYpTM3JWDFBO2P62DtoeUs/L3MlvrVoN+OcN6niiOt0tHc9K4SrmxIG9Bs7QcubdzamecnlI/244OK8vMQds8/7YHLuzhvFj95c4Ng+5J1DurO4TV7Du+C7/8tLcZexHNuao8DAoIV8mHXxKs9Wzp/W/i4vuXykHxfKes3R8XUwZdVcDOY/YpnCBPvujQAmaJ3i01wM/tIEja/CnhjANeN8Mu6f99PeUVn2x95Gd7rsAmFAv1tM0C6IKftVu+zHhX0CkrhDtGb8ncWPvlzggVZ8xzA98CzgVhvcivbAwICFfLjZBC1TKyqo3dy0HxfKJs2qgymrZmHAtszWz3Zg+T0IYILWKVbNyVgxQQvvgrntz/qS74gsy/p6+2/KuLbr+nm5ycZjeUZtN4ii928e62NZ1mcgtwZOaUPNebJtM85SSPU63xl4mvf/KmJWrUpxAmFAvztM0K6IqcLlZJM5XNgnId5Fhnn8mMUFnqB5c9h9QDr6wgUwMOmBfLjXBO3v1cZ5dTDVQczJB2fJbP3OEqx9CwKYoHWKVHMyVgz2w4JvttPve9AjVnLwxOc+5UROvGMj2667TdE7J3t7r60WT5bZdLJT0oyzE9G09vmICW9FzJqUHZxEGNBv+gTtopgeuJs9PIULfFU84PEsfszgwufN7+cFd9Z2Pjxf/sdVludrPXFdJxt/PgAMDBLIhxtN0P5ibVzXdVYd5Fogl1PyQRgwW78wBatfggAmaJ0C1ZyMFYN9nmTxB9TcBE3eMaMvru2TNjGItPse8i5Yqi0/1iRlEmiptlowhUwxz9GeLds14yyFnF2viNlZVanzCQP6zZ2gXRfTlI+afTO4wHkkUis2dSA/RnKB75ptF26WeNLlHRcXf8yFnmAyF6PWvAcYGOiQD3eZoP3N2hgl8MA6GOneP6Y1s4+ckY8pHLDvexDABK1TrJqTsaKImcGhezGfB4vRI0WJq/w1bbMQJeRm28oDfJ73WJhsoF9vxlmv4rhlRcyOhdW3IAzoN7Pzyb2LVe9N+xmjuWA/NV+cna0r34GO8rLd1eyZI7lAEzB6/9J+3XLxJ122xgQfFOGvntKHRnr8gIFBFflwkwnahf1da76M5kLSzhv0kzP7yFvEIBkY7LwrApigdYpMczJWFLH0BM1N2Jxr8Xsy4bmltvbY57N+3u/1/Xqt9GikG5jVfaWNr6xfMT5rxtk6dcFKRcwu0BaJIAzoN7PzuTKmkYPKHeO4IP4OmOYiw0B+zOICx/+hwWPlOwr+hE4Z5sNmwMBAhHy4xwSNc+OK/u6Q/JkG47iQMYB2D6yDKStmYzBbfwoT7Ls3ApigdYpPczJWFLFwkhVuO9dOTtC2D4Tk323TDcrYmmsHZ804szlXLCtidoW6UAZhQL95E7RrYxr6p90ewwX29bF6n5ovGTmQH/O4wLikLhDF4ORrVdy2dg8wMIghH+4wQeO86HMxQpsbY7hwYM3AOpiyZDYGs/WnMMG+eyOACVqn+DQnY0URCwc54bZz7cwEjTsY+mrjc33SC/50F43uprU8usHnXHQ5sRlnB875tYqYnVcWSyAM6DdtgnZxTGMPdXv6c4E+dmEuVFQ9rjiQHzO5kK8/cfxq2sZnl/cAA4MP8uEGE7Q/UxvLObkdHVgHU9b0z4eUVrdvtn5nCda+BQFM0DpFqjkZK4pYOMgJt51rJyZopQ5mt7XqDlqFf87+/FozznmR9Ucu9qnWAMKAftMmaJP9Z7z6cmHPoe1rqJVfthmIT18uMAapuwF8IYePxTWH47SuJTmuVesaMDDIIR9uMEEbmPulfOnLhZJmcWwyFrMxmK1fRAKrX4IAJmidAtWcjBVFLJyQhdvOtXiwpG7LE7THU3wa+7O+X8tqP7uveu/EWJPX66ytWWvGuUbJUduKmB2JajlOGNBv1gTt6pi2YEDn9OSC8dH/UxVqOwfyozcXGAfv8c7Pe019+IPbLpmPhFTdhVSD3X9Qzn7dGQPkgyFM73w4oqXhiu6x3yNZZ473rI1quwbWwZRNszGYrT+FCfbdGwFM0DrFpzkZ9yJmJz/R56kfKw9swuIfbjvXTkzQ7Av9V7yDFl5ldxa2rjXj3Kowdd4NOh4ya84E7fqYpiDW7OvGBXuRopADdAEjZ+RAfhAG9OvHBb77lcAi+Iqju1OWalv3YaEctKn9wMCggnzoP1lP8c/t+wO10Tl7vDawDqaM6ZYPKWWJfbP1J0zCrpsjgAlapwA1J+PtJmgE0Gd9eX/QelnNH5vlK+faK4TXd1jNOF8Z9xt0POROv0F5CazrY1rSVjrWjQuKnHz8mQkaRSBVD95r8sFPursW1Y5M21JwK44RD+jXNx/ujQH5j3zABI3TphsXWIFmeYN+sm9NKINwixiUTcTRmyGACVqngCAZOwEbiAXOswchQUAmboIL4ALRj3hAv5mDsYlpYFUjH8AFJgO4YLgwsyYgBsxGLLUIYIKmRaqyHZLRAfb459PsaNudebw2Gucj28Pjxx6cb0EY0G9k5xP6ebR93stjCaO5cGzR+BYzuDDey7JGYGDwQT7MmaAd1cLweJnN1xwdzYXQx6Pta7wsSxmNQWjNbP2hPdi+PwL+yPn+9n6NhUhGP1RcoLVL/+z81gyctT5wu7z11xwhDOg3coJG+tg/7fIab/NSZnAhb82cI7O4MMfbtFZgYHBBPsyZoBH62prI7dJMvm7vDC6wb9rldd6mJc3AQFoyW7+0BevfgQAmaJ3ihGSMgeVCzUeOtrldaTkL5yPbw+MlH84eIwzoN3qCRjpDP4+2z/paOn8WF0o2jT42kwujfc3pAwYGGeTDvAkaReCoFobHc3y+Yv8sLoQ+Hm1f4WtOxiwM2J7Z+tkOLL8HAUzQOsUKydgJ2EAscJ47CAnCMXUTXAAXiIDEA/rNuGAxNQEC5cgHcIEpAS4YLsysCYgBsxFLLQKYoGmRqmxHyYh/wGAUB4ieo3RBz715DS6YCRp4em+ejooP8gE8GMW1Iz0zJ4iVQ1g0vwECmKB1CgIlKiUj/gGDERwgGo/QAx335zO48N9W1cHV+3N1RIyQD+DBCJ5pdWzFCf8BAQUCmKApQGppwhO0lnNxjh4B4IzHeJgt4AK4QFwgHtCPBkx/+Yd8ABeY/+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapynZIxkrAGpsDZwxCmDrgArhAXCAe0G/mYIw5OXOJfAAXmH/gguHCzJqAGDAbsdQigAmaFqnKdkjGSsAamwNnDEKYOuACuEBcIB7Qb+ZgjDk5c4l8ABeYf+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapynZIxkrAGpsDZwxCmDrgArhAXCAe0G/mYIw5OXOJfAAXmH/gguHCzJqAGDAbsdQigAmaFqnKdkjGSsAamwNnDEKYOuACuEBcIB7Qb+ZgjDk5c4l8ABeYf+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapynZIxkrAGpsDZwxCmDrgArhAXCAe0G/mYIw5OXOJfAAXmH/gguHCzJqAGDAbsdQigAmaFqnKdkjGSsAamwNnDEKYOuACuEBcIB7Qb+ZgjDk5c4l8ABeYf+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapynZIxkrAGpsDZwxCmDrgArhAXCAe0G/mYIw5OXOJfAAXmH/gguHCzJqAGDAbsdQigAmaFqnKdkjGSsAamwNnDEKYOuACuEBcIB7Qb+ZgjDk5c4l8ABeYf+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapynZIxkrAGpsDZwxCmDrgArhAXCAe0G/mYIw5OXOJfAAXmH/gguHCzJqAGDAbsdQigAmaFqnKdkjGSsAamwNnDEKYOuACuEBcIB7Qb+ZgjDk5c4l8ABeYf+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapyna3TcbPa10ej/XxfPse1e73z562NQTnWmxy7TuhRBjQr3vnk/Ordn9HHIABuIB8MAmG2jhwglZbA3PtURs7IYAJWjdgIbgbApigdYJ2SOfYYnuuY6jd36K7wzlDcK7FJte+g/8kEgNSAyy4AC4gH1yRQT4gH5gN4AImaMwFLL8HAUzQOsVqSEHsZPs3iQXOAwchNycGuAAuEEWJB/TrYWV4QAAAIABJREFUfjcV+XBzBMAFDhBqo+HCzJqAGDAbsdQigAmaFqnKdkjGSsAamwNnDEKYOuACuEBcIB7Qb+ZgjDk5c4l8ABeYf+CC4cLMmoAYMBux1CKACZoWqcp2SMZKwBqbA2cMQpg64AK4QFwgHtBv5mCMOTlziXwAF5h/4ILhwsyagBgwG7HUIoAJmhapynZIxkrAGpsDZwxCmDrgArhAXCAe0G/mYIw5OXOJfAAXmH/gguHCzJqAGDAbsdQigAmaFqnKdpSM+AcMRnGA6DlKF/Tcm9fggpmggaf35umo+CAfwINRXDvSM3OCWDmERfMbIIAJWqcgUCLiHzAAB8ABcAAcAAfAAXAAHCAO4AcEtAhggqZFCu2AABAAAkAACAABIAAEgAAQAAKdEcAErTPAEA8EgAAQAAJAAAgAASAABIAAENAigAmaFim0AwJAAAgAASAABIAAEAACQAAIdEYAE7TOAEM8EAACQAAIAAEgAASAABAAAkBAiwAmaFqk0A4IAAEgAASAABAAAkAACAABINAZAUzQOgMM8UAACAABIAAEgAAQAAJAAAgAAS0CmKBpkUI7IAAEgAAQAAJAAAgAASAABIBAZwQwQesMMMQDASAABIAAEAACQAAIAAEgAAS0CGCCpkUK7YAAEAACQAAIAAEgAASAABAAAp0RwAStM8AQDwSAABAAAkAACAABIAAEgAAQ0CKACZoWKbQDAkAACAABIAAEgAAQAAJAAAh0RgATtM4AQzwQAAJAAAgAASAABIAAEAACQECLACZoWqTQDggAASAABIAAEAACQAAIAAEg0BkBTNA6AwzxQAAIAAEgAASAABAAAkAACAABLQKYoGmRQjsgAASAABAAAkAACAABIAAEgEBnBDBB6wwwxAMBIAAEgAAQAAJAAAgAASAABLQIYIKmRQrtgAAQAAJAAAgAASAABIAAEAACnRHABK0zwBAPBIAAEAACQAAIAAEgAASAABDQIoAJmhYptAMCQAAIAAEgAASAABAAAkAACHRGABO0zgBDPBAAAkAACAABIAAEgAAQAAJAQIsAJmhapNAOCAABIAAEgAAQAAJAAAgAASDQGQFM0DoDDPFAAAgAASAABIAAEAACQAAIAAEtApigaZFCOyAABIAAEAACQAAIAAEgAASAQGcEMEHrDDDEAwEgAASAABAAAkAACAABIAAEtAhggqZFCu2AABAAAkAACAABIAAEgAAQAAKdEcAErTPAEA8EgAAQAAJAAAgAASAABIAAENAigAmaFim0AwJAAAgAASAABIAAEAACQAAIdEbgvhO0z3t9PZd1eTzWB/9blvX5eq+fzqBs4t9Po3d5jdE3wqeEjveT8F3W1xBQEwYEu0J7wu2geefN9/ok7n05B0IMw+0aEM+cW6On3NbEZcmRlnOX64ZYZs8pK/xTR+8R41bID7ixftb3c3F9yoP6lBPFj7l2qkZca/Pn/VyXxfWby/O1vk+4mI9Er/rYS27ek587UuBlmN/h9s9h0ehQDS41bRvNcad93uv7KKEL8XeC4rWhfsTqsSdA4JYTtM9LdqCuo3ETtWf3CcVfIerd/AztCbcD/nbe/I2BQohhuF0D4plza/Tk237W1z74zE22jI2JuvF4rLlz8vr+3pH5MW7F/Igb7rjtS3jy/nw3KT2PlbMpzU13XGNznvvPtc3DEiy96mMvuSVffutYiZfhsXD7t5Bo96YGl5q27Rat6/p+bTct0rXCSW61p/U8pxlrVyJwuwmam5zFd8s+n/f6tFcGe3Q4O7QfkwSNffaV8eku624JeS97fmOgcCWmV8qqJ7c/WE13UnubU3c06i37pTPmxrgVyWNu2L7lKZ7CoD5lm6Q1PEVwup+42Ga+av54ijtmdMfQXKxI50sr3nRer/rYS+4ZX7/o3ANefmd+j8f/ljjtOV7M5YP4j0cSGlsRuNcEbSfW0SN33OE8/sIMqjWyyvPuVoTuZc9vDBSuxPRKWUqKbs22x7b2ux3LYu6wpzupPWaoDTXwem1nxdgzomJDxw2eDMUX9njiluZThSEVTa+3mf1LTTR71bFvk1sRoB9u+m35PSsUt8RJM0GbBRj0Xo7ArSZo3FEej61KnZHDyCXYZ3ufzT4isizrK3iG17V155u1uBMybU1H/3k97Xty9Kw/P+ov9z+W3COZ5n0I957dsi7y6u5uitX3ebk7iF67UM5jlbaEHsnttN8V8ra7mu6R1KzeoN0WC3qn8CAOnn12Ap9+fC2a2Ct1bngEbU0c4tgb7CrwkWCLdefXMTdT9uXwEyrsqtNlduW3j22R50YcD2J51m7rwLrnO+dRqZPaOXJusB3GN52Xzj5/zWF0jOclGEXcdXXItyz0K10nnP3m7HDbyYzzw7Ud5HsNN5zh3pq+3+HTQhzr+LF2sXmPxXHnyU7ULSOO0V3IOP6b0KBtsVYFbXvVXcNL02d77yAu8m6jhCSMcSlXSEaub5Yy9/XA5xw+vXLJyTX2hNvET8LIjUuM76nyHretzYU0JtlxRMY2Hncx2jLesp+ScuX+1BjN4WLw2OJEj8knOOPahpheVweNDjn2CS/GpOOWxSbB2dCPzRslXxl7LK9D4EYTNJ50xVc4U+5qOtWY0JLcj1X2ZUliborjTsi0fa6v1LtyNHFK7Y8+xCEf1/TtCj9KwbZ5L37bF9sLcuhRlxR4Yh/LtuKo07WPkQZ2hfJyE6bw8TL76E0oz2yX4uDZl9PH75FIjCt0rjm5z2fiIyEV+Aicw1XjVxoP6ggkJmuNL6EiehAp+BBMeltnC5/79D604M690m7pyucjupnSBG0/Rh8Teu532ghP6pjTAwyphdYL8Q15HZ66b4+MbZa7ka0Fv4K85hhzTQi3ndu52uj4wIMaXvbgh5obznC79tnf6XgEGNgG0UoBxwjz6GS743Kb5YWJbUDlYqDnvjXPX6mpjzW1qkZuKS8VsTMczvTZst/YPC/EONDFuZHum30Yjej942O2z3JxCuu+ke0f5zwK29b0EWxzLr/zesPxRAGnilzoV8My8VaO0RgnGVuHvz854rY+ptfGLo6LtKEQiwrOhn7U8CrBduw6icCNJmhxZ1/0rTRI2090hJZ3zOgqw544YrQQEdMqj+2y51Nh51EfdYq26Mo7Qzzx9AfdLMO/Y+au1Mg7ANx2G0SIcSqZaI8tYgBKX8DkSZbw0bokVsz5LtFr5HFb64PQ69Sy/wKrTb8uDqF9wvR91clxmLXopEG8ezfFDdz8rziyzzSJ5tCvwm/tY7dWjuTQdnUw5GadLzE+zJEwxuE26ZUxcrhKn6Td7u5nqu15u1O+bPsKuZ++OMIdZTjAiDWwf5ILfJWYOmfHsfhc3sMyjvE8jxHrsvYKLrocZA4YLh/x1sgM+eG22c/UO0hszwjfnR1ircAN0cq/iCZzWTZKrLN/Fu+tDfG/9NhtQpDcdYXNLGPx73y4AeUx96VJcj3lc7o+1vFZL7eOv9J2XmddxEu/bu1Pf4gJhW0reSHyKl0Pc3fi2AJatuFzdS4Z/1w++9s83pH+uPqeqilnc4HxtnIE1il9mr6XZXrYNY7R9JwJMdX0qXWc4AlT2A9Zf09y1udCpW2S6li/BIE/MUELyWyv2Ijs94kpseWC5R4b4mQQp28n8OAw0sedJ19e4UdDQgFGiplcJTqMSC7LCa6QGOtFcgWTOs877+4KTzJTnXkoL8Zlkxv5KrUF63wFVeAQxiHcDiTYCWqMTdhy3450Zvyg5rsv7o5mDT4Z/ftu5lBkd2RfQY6ybYhhejsx+UjIH2l31vMCx6x9YrKtn0Dv8RV8dDbs/Bd56Y75a9YGm+/78QSe/pliS9U2w90InzrepvnhBh/Oylj/ON+dFd5a5Lt31G5QraZ3Ge1jXPTYkj2aW7mGH5H0K2zeZWwTMsUgLbIhuyOOsW3KOhU5Efe5NXL3tqf7uUSNk5OmrZ+s05XluwVJuZLI96zsRNuslkTbYn5ze8K6MG6wF2dO1korJ+RQlBNtcQnN04/R3EWBUIY30d4xSmOa4BvjGwuNQ5hqG+FCp7VhE4097AX/VK0PzEvZFjTB5nkE/sAELUW2ndCiKIQJ5qDVt+Xkj3IvTComt73jxlf45dINGLK2sZxIobE+a49zzn/8rUbeQVuhwq1+Puvn/V7fr9dKj8i5wVE4+XUxy/pO1yP5UdKM/5viI51hbJy1pMDYyDzh7Yw+tidzWEr2cfePJB6r3Bsc+eLJcRshhkfb4szIlvDcUlt7rNFue364UopZ2NZu8wUGl1f2EK9wfJV5yaeFy2EYsb1HhDtoF/I2tD/cdv7qa6MdRHAuOSHreiU/GrjB/rsLMdI4sc44nuSHkGhWr7B5l5F+VFPB/ciofUfJNsajJaY1cllPhuccv8zhzZE8h10/sp1fqaskNwfptl/B+bzsOO+srga5vh7mihuLmEdkg9ka43Q2F1hOKXjk3EG7kAO+TxYdO2aI1CX4aGSk+4sjfTn9p+tgws6rsCGUsnYreOVQxtpVCNxogsaFIZ0QocNhgoTHaTtLNr7iIDqWK9pmbQqTiotNsbgpJiksJ6o2Bo2sPQIsz+8aeQdthYqV7mDk32tLPUJ47Dv7lh1UaXWGsfEMDzrCA5/Zpkw4fMnenUt5KNBJh7S+SDFi3YtxIi/C4+7U2JaatmftdnYEa8WYBW3FZt72vRHHV5mXQrS3mtcT43kKI7b3iHAH7ULehvaH287Z2J+atqd8d0b4a03c4L7H1R1f6L7FOJ7kRyT7Cpt3GfLxO6knHxfZKrFetC2OvzqmNXIZ9wzPQ/4mvNjHAumxhXd+pa5qXCtqeV72CdxV9T/4sAXznT/SRAAzTnwsuTzIJyknE1sbS9aXaefFMOEjywnb8X5+WkbeVTL4KziT0Ncrdik7bSxOYkNYRHZX8NViiZXLELjRBM1dyZJJkvZU16FGZLPC4gKXbcuFQTGZUyc/y8wklDVzXzm0LSPHnOe/+1aUfWCXJ++grdPDsaKJ2HN90sca6C4aXZFhGQVsk77zYESc5/TRWoXOCwcKHj6+QdFW0q+tVcjNCl8iLWZHqOto24kJbUkUcNs4bHvebis6XCnGLGzstkO/3ZF9jfmYyaeofWZHXs/FGGntPWhn7HV1IrQ/3LZus1yRh9m20UWxTvzoxQ1ymv09yQ+LH69cYTPbJmLB4mmZj4tslVgv2naCzzVy2bcM7sY3x9+EF5dN0EJddbjWcT4v+wTuCS7k9XzM0y7iY0v2guhBTFIxSO7Tyjlop42Leoxmceo9QavjRMsETYsNxcfnQqVtyQBj5xkEbjVBsx1g9FUl30V+ITt3tZBb+2TjvbQMCxwTM1Hk947EFqaIxE6uPvl3/cln6p08Xjv0IymHk6t8FcuXXbIrlBdjaOwN9pcKqwJb3z4xSEr6vCNWpTOwl0GnZWRfDT5SULwe+WWbBPZU+WKFeCuhrqNtd3JgS4H7UU5dYLezI1jLDu5ie92ZpdhxK00bbptfhvi6loF9pzEK5FlF4f6SX2Fecy10dcP4c642DuPHETeSdYMxSA/GLKzcbyRluFbVa5fYzDF2cXN28LEj/9wZbi3kkjsS1ccqPlfILeLOsUv57WzNcthezOPzS1jFuvK57nTbtSp84jy0chgPnoyflKvzgZ+CYQ6VcHKWHq/leBDuL+nTx0U/RmP8E3Uv4gy3ZQ7F2w6HwK/K2HHO+TcxrsGGbPS4UGubcxJrFyFwrwnaNv7mv6m1rPSpbPnk88e73cqFIo+ERzavWZAkUq94wTr9paqAxEJuS/LTxE++jGv/gCkX3zBphD5aNT4Wvs4m5ASnbpshRjXyuK39+pL4CqEtIJzkNKixwaQrcxznikccrSxXCFM+uYl+jc7HShN+NrEc+3a82d4Qd96fHcgq8XNy3Fqo62hbnNn+DpqNlS4GTqdiLTugdfngOEnJ7b5qanmZUcOc1uRlRoTfyXmNgrpzAUZsr/PXfXFN+srtPL8ELqULUFzX5Lnl/Ejl5/W+e9DyhoIbMs8lN44u+JGKJI4bxfa/h3lQb9lMb3mRzS5OIudkjDN3oDxbEhvW56P6WMlntdwc7tK3A9ytruhLtXs/JLCxbWXfnNFl2qb4ngCyCZ+U7HO5FNrsbe9clLlOnth8FzgncWrIBZbTs4ZxNDhHRLjNoUQOsl3elyDFGEfWCw9Dy9frY5eeoGXqUgNnPT8q+coYY3kdAreboJFrnETuE8HuhVXzlarcH372gfHI5h0KCpxR6j5aIZ6nXuiDFrQdFaY4+dhuTfLbgbjQ5fylTwE7g/N+UBu+shVgtMmNbXRSzVosu0KeTeBQt5w889WtsI3YLmAr7TPr4rwEdga3Op3ZWFT/HbRjvBl/6Rfv2yMS8K3WF18abYW6jradhDhPwnPzbc/b7WQHa4nO1LXYbU5wQ+awax+uFc7fPtEdto+3h2KkykGyUZ/Xkf0ZHTW10eaYzfVO/GjmhqxZcUzdnvP8cLL2tctsLmAafqWSYyo7msgw3pHxOaqPBf2cjzb+JFsrd2/LfzqGZdnlcd1lTqf/plUY+xO5wpAll3X4sM3hx2AtbhbLc3J9PWVZPl0y8dvi4o9hknDwTuaijSf38dfHpWaMZnCh1zLYHrkUF0EUfSy7ejZ2PEEzY0XJ+2s4W8MFMxZ3H3izF8Z9kjjXsVaNwC0naJsXNPuXX/qj5F3M3zDhuxxH3vpkk633wmIL3H5M/mV1GoxtlTFum5Nbk/xGo/n7OfZrhsq/Ui89SctZ1H+YN+1LaFdB3nZX090Noy8+xfEJXzpmeXxnwxWa0B65bdZlkYzXXW3Q69ww3PnGk2RzNS+O/Vm8OXbSL95nlimdlb74AidN0MiIc3YHbrjN4oB2u4S71Q6OJV0BdVdnnZj8Wsj/x7rQADcmdlLEyNhuBqhykFqGfnEe+m4k7T9ZG+OBibGHarwfJ3qiIK4LvoWFrSNuJDnp7pwXJItDIY51/BCCzOqlNtPTCfvdvH3Am+Q+D4pdwYzM8nao62NlzqvlkjUh7mn+enbvG47TRgZzLv9HvHW6nNyU1tQ+PT552ef6iFBuuB3jTGOvp/ubr55bIU6NuTCihhGD9id3ItonctDgQpPEY86EGIbbDrJzsePYMH99P8JYpPMjb1t8MZf0qWt0bU1xoGAtg8B9J2gZg7EbCAABIAAEgAAQOIkADUr9Ed5Jgfc9vTQova/VsAwIAIG/jAAmaH85+vAdCAABIAAE/iQCNGmR7yn+MgiYoP1ydOEbEPhNBDBB+824wisgAASAABAAAhkE6J2V1OPomeZfvhsTtC8PIMwHAn8QAUzQ/mDQ4TIQAAJAAAgAgb+CACZofyXS8BMI/A4CmKD9TizhCRAAAkAACAABIAAEgAAQAAJfjgAmaF8eQJgPBIAAEAACQAAIAAEgAASAwO8ggAna78QSngABIAAEgAAQAAJAAAgAASDw5QhggvblAYT5QAAIAAEgAASAABAAAkAACPwOApig/U4s4QkQAAJAAAgAASAABIAAEAACX44AJmhfHkCYDwSAABAAAkAACAABIAAEgMDvIIAJ2u/EEp4AASAABIAAEAACQAAIAAEg8OUIYIL25QGE+UAACAABIAAEgAAQAAJAAAj8DgKYoP1OLOEJEAACQAAIAAEgAASAABAAAl+OACZoXx5AmA8EgAAQAAJAAAgAASAABIDA7yCACdrvxBKeAAEgAASAABAAAkAACAABIPDlCGCC9uUBhPlAAAgAASAABIAAEAACQAAI/A4CmKD9TizhCRAAAkAACAABIAAEgAAQAAJfjgAmaF8eQJgPBIAAEAACQAAIAAEgAASAwO8ggAna78QSngABIAAEgAAQAAJAAAgAASDw5QhggvblAYT5QAAIAAEgAASAABAAAkAACPwOApig/U4s4QkQAAJAAAgAASAABIAAEAACX44AJmhfHkCYDwSAABAAAkAACAABIAAEgMDvIIAJ2u/EEp4AASAABIAAEAACQAAIAAEg8OUIYIL25QGE+UAACAABIAAEgAAQAAJAAAj8DgKYoP1OLOEJEAACQAAIAAEgAASAABAAAl+OACZoXx5AmA8EgAAQAAJAAAgAASAABIDA7yCACdrvxBKeAAEgAASAABAAAkAACAABIPDlCGCC9uUBhPlAAAgAASAABIAAEAACQAAI/A4CmKD9TizhCRAAAkAACAABIAAEgAAQAAJfjgAmaF8eQJgPBIAAEAACQAAIAAEgAASAwO8ggAna78QSngABIAAEgAAQAAJAAAgAASDw5Qh86QTts76Wx/p4PNbn+8sj8FfN/7zX9/tzS+/fT+LWsr46mjdCx3Xgvtfn47E+ltfaB5I/ns8dc+F2PHs/14W49FjW55b/e+yHFfLeXL4u69KSvt3+tFdftXc6hzui1bEWRVaP1BUp/3s7btcX/L0QVHv8nRO0z2vv5HsOGquxxAlaBN4mfkvPGZDWlkS7EYVshI6Ea427BgwKOaeHDdQbobj6tM65cC+e7TzaJmjmAhtdZKN/42rBAC5fzRFP3rfb7znzhRt34HAn2DrXIs/qkbo8xX934159wd+NQ43nXzlB+7wWcwX2aZY3HefXxOFvtX0/Bw/K6uBFIQvxGjQo3HjR985l6Nn07ZvnwqX47JPwbQ7+ea+vrX6bi2zjHoQYxOVLgZPCvt1+6csXrt+Cw51wG1mLRurqBNe3icW45tsitq5fOEHbH4mhx632Yjnu6uv3BfiWFt+8OKOQhazBoDBE5LLtm+fCZX7eRtC3c/nb7b8NEWBIiMDIWjRSV+jnH93GuOb7Av99EzQvsfndleeqvwL7Wd/PxT0iSY/XPF9r+DpUnsyZDvLzXp8L3dETj+4s/J5FmRhG13N9f17rc3+37vF8i/d9QpuXdfGOs/ywXck3gxlhYW1eyAaWJZdpuXHTdDsp0/gqMArf9boBjsnY19gVtCV+hVgldaxp/PLnftxdCOLdsqwvCTaHMLBni3eOm0Fbw7PrOc+mrYG+om32JLESnJ/CemsdtMvpOcxFpZyUztC2w1yI+JDO+5LNHs/4MVJZo7z14O7lhb7aiNXIjPw39SzMBys7XAl0Fbkc6UpjHaqw25GuOOe3tkG7HA9TbYv218i1RgcrgYyQr671mDql15+Olc2Ldd36/A3rrU5m+jmt/0G7YgwjXuk57HJXWedP6yr0y5HsBOb72Cx+V3nvP/a+3vhVo0uPWV1/ouOx472/dpZfOd5Uy9XEZssBwjyo8b5L2LoZAl83QXNFyyBpHnfUfywkLg5cKPxJXqjHxS0xWOXC5A12WO6xbaxr4cmZ904GTfycLNvJbB2NPwio8+25vrZHRUPZYQIX9D9SmIXyaNu1i20U+m6FY6NduUFw8IENjrl7PPcKnA323mtcNZjmbH8+44+E1Mh1yeOvnZWRszfAeq3Qw3FJ5mKFnFVhWzEX1gIfAv9KNvOxjWc5m2zd6sv5mjisJf9FPfEJJbZyvqa4XNIVYC00uNWcrvDcK/iTsr9GrrPaX9P6UMIqiEvMb79v8OrUFfoDvI1+ZT+n1V+FdSGHA6z8YJitKvwq4qLTJWpBSXYSc/+dUvaDn3TibTeWUeo6wmxgbAjDKn5V2FYltzo2EusUE7DvTgh82QQtMTniwupV+xzEfL68gkZXUeKBrdmXIjPL4MkR38UL7144uXQ3rPRj/dtEJrg8zMf8O2bmyg8VOC5624AmujrobJAmsEz3JTWyzsmUV8Bs20XcZaT3R3jSaAUzLsfY8kDN2W70G5mzceTCy7Gviy/jZeMlsLJQ2eLOOljn/j4Oc0CcKznEOrarYfaOmYu1a3vSdmLF/jK3udp3HeeJb1fFu4x1nR6HreRxPT9ZTtm2jQjJ9zGj87cC4nJU5g63zdcPx7NNjPef442T2YZZ2dc2mVSLHMVTdcdzxm4wJtamLJdd7sm2sh46XKx4byXSJfLW5Xyb/9KmfrmYwCDpg2uniQvjclynnFzr74F+226LxFFeyCdZXNtUP2flJvW3xVCDlUeofaMFv1Zdm8p9EhHyne2w2BQwt+MQnkzxxCSYyKXHAI4H9X6MjQ1BwLgcj6MabbNfuiVtSt4WYmPsLfUF28n470YIfNcELVlABPl5YJsDmCdzVDwO2ubJzBMRHqzmlFFOvcyjlK6XTjbmRA8Loy12yfN3v7nwsS61b3Jyx2aFWO6+crHlZtsyaFuhP1ecPfFyg2UncXANL8HRFl5FIYvsynAjwVufXxU4W/sS8YvscdhEa1HbjO10Yq6TjYTqOZ861e6LbLNHxErG3gTW4iR/NaEnzyH/VG8rklNhW9Le/fwk34O8L/HBHstzudrfM756oImNnExN3RFi3GoGf2oQcbkOa6eD1zK6knHlc4Jlzn+u7bJ5ZL88GKxHcoPjdlPrw95OGZcstyK7KvWfzoug76K7EIknUpgrcb9sgXMrOZ+UWDlBbq0avxO6Nq1Jzu7YKDGXch58tzf1WF1J11k/HIRmrUNsSHA2PvLi48E4MzVG1Muti42Rm+8LQtiwPR+BL5qghUXVgcePOR4XUpbhHrWg59zfnziL8mTOFHMy5/NZP+/3+n691qd8zy3V0Trz90RPJA4XFvsIkrPbPR7Ajw9e4RvNKc07aVs9Zv3J4hy0tUXJ2ZjD9rDjm4ojF95UPA7ie4CXCLkf84PzvJjYjiFhX26goeFmssPcLWb7UjxujJXEoilv2KYMNz35vKGwNZ/3LESR5zW2pXDn81V5X+BrkSsuf90dV+Ejrx5hxrZeGYcDmWE+sKl2mcKUD7Js5jJvK7FmMXbJ51/pf4391hAFL2Vbua714aBdGJd8LgV96IFcayq3U8Yqr99xfwsby70yhgcyQ6ysj2Ilb38dfhpdm9oU79gPJeZsvrHdjAWS47KSrkwc1H6crFlaPflfyLUvAAAY5ElEQVT4BPxiUGh5ZJuyZnu8VcamZK80Eev3QeB7JmiNhSKGOnjhlsm9PL0/TJwnc1AcScH20rCbmLjJ076PBwOxMduerC6Vz3KgXuMbT+x8o7zixPrVBVOnPztBuwmOUTy0dh3gJZH2dByc58WkWMBPcDPVYVqDT8i1MhIrWlwTp6auPKaabfsq9HhxCQVq5RzE0xObwp3P59qUXLq8L9mcO8acokeJ4stTFTWNbc3UCM/Xi/Bj27MqU5haQwIus/1JjLmmO6ytGF7h87PGcMMKTGvsJ/FaXIUp3qrWh4N2YVxy3LNPhjD3DuRaW7mdMlZG//l+zuqnFS3WbGuGFyFWno594yr8NLo2lSnesR9KzK0fu6zt8dZUgSnpasVsYGzITzW/qLHWthq5lbHJ88lGDSs3Q+BrJmhcZKLJT1A4MrmdgP1j7nTJLy9yh2GTJNExc1LYtuLO1fJcn3RHju6i0ZWSqG3CDI0uvVO7Ao1v5zsuk/Cpj6CU9acnaPfB0S9kFXZxvBXx8nQcnBfi7J3rUSoYfMq7mkfcTHWYVvYJuVZGuFKBa3gqbR9g5k6p05PHtkKO2rYt+eN30GrOL9WP3DEePNka5tAyaz18vU5mmA+h9en6wq0CLldizVLsUn1+hf+jc1Hrw0G7MC75XGqMwYF+G5N9xeg/3885uRUxPLA1xMrpcGtX4afRtWlN8e7AD2etXBM40fgsVWcadJX9EDqP+roDn8p6nJ+mnYJfNf2wrdkKuQd+OEvNmrE3MaYNG2L7Ngh8yQSNky9N2g1NHnQoBscx+vy1JSc/m6Ssh4tOKUnCtrHi3XS6UptKnL0jSz6TnREW7a7wzRYStqWkn2PCbSPF+45Yf3IAdSMcvUJWZVcw8LCQxPs9HfxoYjLOMc7+uVYJlXb/XYpLbN96DPOnGC7kfHGCpcqbwFcLQ7C/CgO+KprgdJWcwIacbbR/99V/DGg/P8kHK8yu5PmQ8If9KMnmNqlaGsVG6WuLzKSNcT5YIOxKziaHtxs01mFtVdiVnK5gf4v/nG9WV8L+KrlSkFwPbLWHwv37tjIueV5m5Eb+Ztol9Vuj7YrRn76AaD9QtN3dCfWwiGB/Fdb7uUlbNRxO5C6bFdZ53j6haxN9QS0iOXwxnWqaXLfm00q1rgPMBsfGuGDusMdlMrC1yjaOewVvk3H30N428vkYt8WeeyDwHRM0HhTEmSBQDJJCHLGrLEd+GWy7+7x/zEN0EFxYqCPnD4okv6LFyUdJYm/l0x0k+ffFMo8R7YaVEoc7GWkHnfZ5P80HSNjmCt+sTJoUWqPFV4IEzratwIFu19uvODboTxbnu+C49R1iwlxpF+PlvnhFuJpCLgfhZp+bCHAbL84pnEP7LLlpJTOgUHLT2iD+xl4vztsJmtI2z819g+0tYt0UPxcXq7dJDv39Hv57hmkeJHPBxjj4qmcq723bhM3hMetDum1XX61uXZ3k2GrywdotVuz5Fn+qmS/39y+5blmMdFgLFXaVdRVj3er/kf2Vcq3RwYrKhxxWZ+uUkFvEULTzeFHMi72WK/u5ov5KrBlTz9YMVkE4tk1zfipXgzqfw6VC164wvpufk53B3NZ1m188UQ38SE7Q3OSkGrPBsSG8bHyPxlGtth3JlTbI8VkmNnk+pdiHfXdA4CsmaJwIYt6QxI4nVXIg7DfkSZwZMIePS3rybVL5bRf6AIh3274sc9Nhi5VvDW+VE4cLnG+HsZ0+H8xSyna4dlxYllX+rSeHhbuLaCTzHbC0fvd3vPT6eVDKPhgZ5fPH4ejwabIrwxv5t+AI1zjmWpxT5zIHwo67FtMM1/hrXJbHtXLZPrm8QIYK6zo9cVzY5jo5dqASPIId8iCdC6QzE4tNnsz7Eh/8Y1xHXa7HOW3qRA9fK2WS//ynPCIMg8Eeh8hbZvCLuFyHtaeCNzrwMBv/yP5aXNnoYKnygc7RxyWfS2GdohGlmDx78U70R95xyeF0Xqj6OZX+Wqz1WAXR2Dar8KuIS0rXrtA8KbHXGNe3Z3Jpb+fGFoxPkJ/i4rG9hs37Urqa8p51Sz4E67b/Im/PxWaTsF141Yyj6mzjuKt4S35U5oOLa5YJOHATBL5ggsYEDAt1AkFbZEttzZ2iRZKaPhBir7AJuZ+XGCQs63NjdqJzoUcDn+KO2WNZzRcM+U5TULCEClrlhMwnTmzzssgr0SwwbvdI+Ob0mfY8YDM2syy5DOWyf7INrYft6Kp0Cltfr1fgb4Cjw4f9q4zv9kKw4wPhajumXWSsI4VfGuf0uXT+Bdykq64iBuaK8gVyGUpvWYmrd+6+ocB6+5trwid6nDiXn3lsSV+lvUrb3sI2lwtGHx2TtSqV9yWb5TGzHgxaZB18yMdq+vgquVWKg4luWE84bnvsjxZqLuuxzqpUxrrKf7X9lbHKOaHyIYVVOi6Se77KVD3ZLvuvT/FOeKpuGjkhLx5rOS/8/ibbz6n8r8U6tDWNlY+P2arGL+p/9bokrjweqK1FpQvkXHvcxXM/JmVdWj/GxYbwcvHxfUnzS29bnVyyJOTYUT6YaOP/+yPwBRO0+4P4bRa6AvBtlsNeIAAEbo3AdpGsdIHs1tbDuB9CoLmfA4d/iAX9XGnm14FJveQeqMXhGyKACdoNg9LbJBSA3ghDPhD4owjYR5fKTw38UXTg9kAEmvs5cHhglL5XVTO/DlzuJfdALQ7fEAFM0G4YlN4moQD0RhjygcAfRoAeDX88Vvc40x/GAq5PQ+BUPwcOT4vbtyg+xa+Ck73kFlTi0E0RwATtpoHpaRYKQE90IRsI/E0E+B0Ueocl//7Q38QGXo9HoKWfA4fHx+lbNbbwS+NrL7ka3WhzLwQwQbtXPGANEAACQAAIAAEgAASAABAAAn8YAUzQ/nDw4ToQAAJAAAgAASAABIAAEAAC90Fg+5rqfcyBJUAACAABIAAEgAAQAAJAAAgAgb+LACZofzf28BwIAAEgAASAABAAAkAACACBmyGACdrNAtLVnM97faf+GPdppZk/Onpa7rUCZr14e1pvt7hdi+8vS0vG0Psj9uYPPCfb/TIwKd/A1xQq2JdAAPmSAEW5609hl6gpev9Hj09G61MSBs2+DgFM0L4uZI0Gv1/r0u2z199RkPQFvRHjzGmn9HaNW8Zg7I4QiGO4c/7xWLci+sAEbQMNfI24gx15BOK8yrfFER+BP4Ndpqbo/R89Phmtz+cFtn4HAUzQfieWZU/2P7zZ5+8SfUdB0hf0MpS1R0/p7Rq3Wk/Q3iLwMRc8Hstr/didWFnBV5CgAoFTtbFCD5p+MQKna8ro8clofV8cW5heRAATtCI8P3TwdJErYfEdBWnWYOCU3q5xK8UUx4oI8ATt+S42+3MHwdc/F/IzDp+qjWcU49zvQeB0TRk9Phmt73tCCUvrEPiqCZop5s/1Ld/9eL7FFezP+n4u26N85rGjZV284wYcK2ddt/am7WN9LCTbB9C2PalzXUPbzB9yDfUZ7WHbkh/L+vp81tdzsY9aPZZlfQnBxgf3KNbjQecIPz/v9bmI8+mxrWVZn0KGbR20NfjmClLoh+6P11rMFfFpw8t6s66BPxsXkr6nfUlBJKRvq8afAPOID3GMS3GzGOV4OcCv0E9/O8Qr9s+0D9ul88L6ezEnNhsCrFJ/YFnGMI7LY33sEzXZzuKhkJ+yI8dFicXn9bT1Ttot91Nd8/LdGVZRLy+oMwrOW9OCFYdruda500JeneNfj/rtbA3XFLbvg9b4Du5ei8Mar8T+Cm5JGdQfH/evR7VR12+EKMrtGpvMeWEMcjak28X9gq6d47m0ntbjPjbfNjyXttP65TAgdZbZlz439jGlJ513zvZyPpt26bGLkyEsj2otjQ9j7Ep+6TDZdZ7Sl8ZmxcU/EdC/vbrVzm+BgBNyWVzCukf2aJLh9ttOYZts+I8hGTnP9fUSnYd9l8TvLK7VmbLvufrX4Gv9SMk0+/jivvFBthM+ckdv/ZftzHs1lh9cOMK2z+f6jHAu+PEIfbYatpWa+GwdV1Xc23yPMWScyr6QQ8whN0guYCMemYt1OttZZjIXKmIa69D75UdNbun8c9iwTrn0cTV26nK2hhO2Mww5LeLg7DT4JzHLTdByORPI50cDvbolbOJcdrZksKALUoq6VoNR0t+EbXE7x9cafZJJvB7LllwJ6hQNyKpqgi/LxCDFv+N2Z/2sOZ8xcX0g15rHKvfVyzzHLWNXRkYwcTRtlTw56DeYK6lljU1FvAIbOAZx3rbxJ8aDvYknGfm2fA4vC/kQ+MNnyKXWxyJuQb3LyzQ5xvUubue4Evmfq7UXj08sNlfpC7CxfRKDYBVi5a8hsNWVb3HaJWvuThdd5YrvqJGTssNycuRdInOVaANEJIxre0YnF1cpg/T5xYjiwPtq/XB3zJxcvqq/xTf5mMBnfW0DGf+Om7natg9GRJFI2fbZX+DN4ra83F3Jz3vX5+44pLjHeuhOn7uLV46PHi8u8DW+6+OX94f11sWYB+6Sv5InD+pgvUt+4/xK+SptO46JHte+nBB1Q3BUUD+eZHPnLBvZ/C3EOim/JmaOP9udcA4+Xcm1kyY/b0yO+5MYxvM4Rhl92xX5uEYc8VWjL8UrttfzOWMDtz3WpeWftp3D6lh3ysva8znm+2SAL8yI/qsuH51+D+dGbunrd5wvdGeQqU1POTCHvT4tDWFyL3NCbxM9RXJkg5YX2naMv8PDOcMy3MVm41OqrTuL1qzvh/7455kt1iv7GTfGkOWP9Wi4z209nmXyuVxTnP8sU+rvMT5hlFr0Sdv4rmY4PmX5WAKBbVz9LTDYhHC3InbT9yIiq4V1ah/8iE4rL0cMlPZBb75thU4ezEWDaWvktX6wPolHcoIW6hfbkQwu1K6DsK2jgcHeNnl1LsbYytlX8piH51bEwHZUrqCHeu126DtvH8bPSvBWjD+st87mcufkX3jwlKY22A/mBW83+pVSsV1FpYkC6/AaBblYob8PJzKcTuSKH0N6YuhlHi0M/PTb6eV7MMmNhB7GIlBt75yFk/mYQ3UcZH2R3IRtsS5ypk6fdJ/X9TZU6GL7j/ivbXfazwrbHTDmEUK+SxDcoarFnnFu55abEER8WcP6zW2D2tjYbzAkqSX7dWzTHgONDVpeaNsV+6jdrmgcw9ilvKZ9Ff6kRKhtr+NuNh6sTxIwUY83z7YL3Ox/jI915+LxiZHboE/6ZI0L+kS7HytAYDW1/VuAMEnNCSms5qS2V5D3K7vetnvkICtnG3eZxx45l7Jtq3Ryx+TsovdF3h/v1ocb9Hl2u3O22bToOLK2cVEWxTw9cJIYftbP+72+X6/1Kd/jYxmZIrlJYCy4LW8ziEINrfIjWJnD8d0Kcb53Lus5i9fnwHc7sHCxSMZP2ClXvThV2pyLmydTKpPrnf2Squx6lX/KvCgOXAI+1ejntjkiWqfCgaRyglYh36o6jFnClv1kLzeswA28rdDbwSnbdTZvtHWmUp80ndfzfA8GSlW6tPxTtqvSzZ6JZeP5BhtTm2yMWWylzBzOam7V5GrYlm3N5GPWBva1sMz5Rad4cqtsUPKiov/I2xnwPMQu53uVPykhSh9Zz6iaEvo/cHyyodSiT4lNKgrY9zcR+MI7aK0TNHeeKYJuwiZD7xXrsAj4De3L+Wbi5AbvbtvppNvZ3oc8OFnlC/yqIudk1hTz3EDffCQjZfu+jyddpYIUDtTYj8aOVh0f1sNYJpcFvLYXfBW+b3FXxE/yQ6x7caq0ORc3T6bQZUwtvXNgHt1xlwba/QrVGt37naVkLBhrFxNVXtg8VORsDb7cNsNT6V+Ed+Zcr12mjZRr1yu46OmwAoKBptgfcYjtUsYop89enecaQTpTdaJSnzSd19U2VOvS8l/Rrlo3e7cvW8/fMd8eF3OJbYRWyszhHPaL1vJEvI0MRa7avN7rAduaycesDdaY/IrapmobFLzYzNK1y+GfyrV8W4FDtT/iXLuqsJ31jKopIXcSPLTmXzw+2eS26FNi4+zG2l9H4LcmaJnCHgZZXazDIiAFcUFS6nSnfsxdKvnVRB7gVMrMF+j4alty4CSv7C3P9Ul39eguGl3FZ1vYtpaClMHG2O2/E+Pw4TsEig6ebczokTJp3cdLXBk88t0TVIif185teHorbU7HLfTF6domPPyBhM5+Sa12vdY/d2I+L2zsLuZEha1eDMnmzLleu0wb67JdqeOip8PKaJigNeWNUBgOfOhQqk6ocZCy/fWcz9HAtVmXNq8L7Zp17742nS+4QwNArtcMX6XMHM7ZyVEi3kaGIldtXusmaEZuvt9gl1NLtU0HeOVtKPDCM6jczsiXF7D2k9kuEd9sW6mPz8vket4fKYTXC7Yf6GEJvMzbrh27BH1ggoesq7ZGqDC5UJ+zE2tAwEfgNyZoPFAQj//5bvpb+QTkzs4VyMNCotTpW8BbfKeDO7O9OCllHtominn1wGkvQK7DTxRO68bTPCtr9ZX8iDFmMbzUx6ekh6W5pYdXqUOJfHcy/LUwfv5R3vL0VnI1GbdwYMOKaDnQL6nWrdfFxJ0n12Jc+3Aix+l4vx/DPM5+u1iO8TLYXxkzX4fDTT+I3vWPqjO1nHcu2bWcz9Hg6wJdm8ztIgfXZWtGsBLytA7XQBhl9f6hlyO97kyOOT3aKNddizqZOZxZdjTOTwxUjYzURCqu/b6+kq3xuc7H4zW9TVfYEPIiZ1/cLmtnok/ysSvo2O7cpDh1BtPQ9hJusW1523c5diyRuegT9YGJ81hthF3JVi0mV+ljI7EEAjECPzJB46spwZeXaBz13v9OkEh4LoLxF4T2z+6LXihfSCp0igJhv0y12bY/DpayTX5xqeiHm0y68CaKR6IjtYN5GqjZR2PoKpn48wMp28SXMpu/kiTkOrvNWn18auIeXK3V+F4Rv9AX2g45ZP1TxLh5gjbAr5Svzl9FTCpwtZjRRxAsWcWXPaOcVei3sRFfcRRfEpPv84QxtLkj9DrfXU6y3e7rXe4LaFY+T9A0MbM2Ox0ch5ZBNF2AsXD2qjPWZl1M2B+5jPC3B+Nax5gf+qbln7bdZX4qcWLe2FrKA0+fG2o8rP3++QR1E7fUuer0JW2VX3G0vloCqFasXLVNQQxSNmh5oW0ncJbcLfexDrscENZ3mespf1ICKmxP6uleU5z/Vn/n8QnDdFpfBhuWjyUQ+JkJmrv6yO+5yCV9dtoF2yTWssq/IbUBkbjSxG2jD0du4rhDlLp4XerkqzJ8zF9K21r8iG2LBy080Dd+clEr27W19TrEjL/8BbGwLT9qFz17zfpdTOQaY66JTzteNb6X2/rxk56YdfbHxSmD44aT5M02YjJ3J/djLCOWyXrLtvoxLbf1/OLBoLeTdYZLrX96/ezv1ZywE62Io/4VZ9bP+NvzAjyy7Yryyzj4MYsn/Ix+zSC6PW9YGy21dUa0jXCgWhhwXqrY1yNcbZuEDWzXoa4y7i602nbn/bSYqm0PaqkYUNtrbmo8ruEWx0qTq9zW5hXZqu03KmoS69HYtMVAZYOWF9p22wwt+W77Qh/vIk6IPpZ9ctjZpAhWKjANzvQemU9w0uVIHffztifymTm96Xd8j2Vk+p2LxycOokp9Cfx4PObhWMFrZwvWfhGBjR/f4lickKHl5or6IhJhWeTdIdPeyRFX4OlvpW1fVvRlurb+frel00mF7i2/jkg20gdC5OVrKzRuW/bDnrivJIrcrt8UBPn4SfgCMP11e7qqzn97xhXETTjtf7o7bObOQEoftQ79YNmhvf62w9yczzan4mPODPU8Vh1eNb7HOvLxy/kj98fyUjYzhowBF3KHkZTJ6x38qu406vyTOZvC1flr5DIeZzmxIbZ9oENyOv5TEk7/jnEGj6gdNVfI3wZCIq9o0pLLw6SObWxnfGCOMBv44oy9Y2cP6GKU02cnE2LQmOOrUanTZ80TK3U20IlaXXG7FP9S8tLtanQLB73V2KawNvBkPI4pT7LCP8FxLJNMyOHM+jTccjKMzlKuurYSgNBWzgXZZiN88k9dBK22Tafn2CZzvtKGBM/SvAjlFfr/z0tMUpf1uc3A4j7W+ZTyONwX6s9gGp62bYfnFmxP4BFyl0TmbY/95NxjHjEHkzIGjE88iE7pS49Tchf/PL3Y+BMIbJz/E54KJ5OJLY5jdS4CiM9c/LPa6Uom947ZRn0OgBN9cIVUIHA1AkNzVVmThtp0NaCQBwSAwJ9EABO0Pxn2ezuNzvSe8aG4pK7Yj7AWnBiBMnQAgfMIjMxVbU0aadN5BCEBCAABIPBlf6j6qoChWF+FZB85iE8fXM9JpfcY4kf/zsnUnw1O6LFCSyAwE4FxuaqvSeNsmok8dAMBIPBLCOAO2i9F80d8QWf6I4G80A1w4kIwIQoIdETgjrl6R5s6hgCigQAQ+AEE/uQE7QfiBheAABAAAkAACAABIAAEgAAQ+FEEHj/qF9wCAkAACAABIAAEgAAQAAJAAAh8HQL/B3JbBJrWvjdpAAAAAElFTkSuQmCC)
Relacionar argumentos.
Traduzir e generalizar.
Manipular e justificar.
Atuar apenas como incógnitas.
Exigir métodos informações de resolução.
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Atuar apenas como incógnita.
Relacionar e traduzir.
Manipular e justificar.
Relacionar argumentos.
Traduzir e generalizar.
Seja E= {M, N, O}.
Considerem a relação em E: R1={(M, M); (N, N); (O, O)}.
Com base no que estudamos podemos dizer que ela é:
Apenas uma relação que possui a propriedade reflexiva.
Apenas uma relação que possui as propriedades transitiva e simétrica.
Apenas uma relação que possui a propriedade simétrica.
Apenas uma relação que possui as propriedades reflexiva e simétrica.
Uma relação de equivalência.
Seja E={1, 2, 3}. Considerem as relações em E:
R1={(1, 1); (2,2); (3, 3)}.
R2= {(1, 1); (1, 2); (1, 3); (2, 1); (2, 3); (3, 1); (3, 2)}.
R3= {(1, 2); (1, 3); (2, 2); (2, 3); (3, 1); (3, 3)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade simétrica?
Somente R1 e R3.
Somente R3 e R4.
Somente R1, R3 e R5.
Somente R1, R2, R4 e R5.
Somente R2, R3, R4 e R5.
O aluno precisa ter habilidades em manejar matematicamente essas equações até obter a solução. A letra aparece não como algo que varia, mas como uma incógnita, isto é, um valor a ser encontrado.
O problema é traduzido para a linguagem da álgebra da seguinte maneira:
De acordo com o preço cobrado por 1 pastel, em uma lanchonete, verifiquei que com R$ 3,60 posso comprar 3 desses pastéis. Qual o preço a ser pago na compra de 5 pastéis? E qual a concepção utilizada para resolver a situação?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
Relacionar argumentos.
Traduzir e generalizar.
Manipular e justificar.
Atuar apenas como incógnitas.
Exigir métodos informações de resolução.
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Atuar apenas como incógnita.
Relacionar e traduzir.
Manipular e justificar.
Relacionar argumentos.
Traduzir e generalizar.
Seja E= {M, N, O}.
Considerem a relação em E: R1={(M, M); (N, N); (O, O)}.
Com base no que estudamos podemos dizer que ela é:
Apenas uma relação que possui a propriedade reflexiva.
Apenas uma relação que possui as propriedades transitiva e simétrica.
Apenas uma relação que possui a propriedade simétrica.
Apenas uma relação que possui as propriedades reflexiva e simétrica.
Uma relação de equivalência.
Seja E={1, 2, 3}. Considerem as relações em E:
R1={(1, 1); (2,2); (3, 3)}.
R2= {(1, 1); (1, 2); (1, 3); (2, 1); (2, 3); (3, 1); (3, 2)}.
R3= {(1, 2); (1, 3); (2, 2); (2, 3); (3, 1); (3, 3)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade simétrica?
Somente R1 e R3.
Somente R3 e R4.
Somente R1, R3 e R5.
Somente R1, R2, R4 e R5.
Somente R2, R3, R4 e R5.
O aluno precisa ter habilidades em manejar matematicamente essas equações até obter a solução. A letra aparece não como algo que varia, mas como uma incógnita, isto é, um valor a ser encontrado.
O problema é traduzido para a linguagem da álgebra da seguinte maneira:
De acordo com o preço cobrado por 1 pastel, em uma lanchonete, verifiquei que com R$ 3,60 posso comprar 3 desses pastéis. Qual o preço a ser pago na compra de 5 pastéis? E qual a concepção utilizada para resolver a situação?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
Atuar apenas como incógnita.
Relacionar e traduzir.
Manipular e justificar.
Relacionar argumentos.
Traduzir e generalizar.
Seja E= {M, N, O}.
Considerem a relação em E: R1={(M, M); (N, N); (O, O)}.
Com base no que estudamos podemos dizer que ela é:
Apenas uma relação que possui a propriedade reflexiva.
Apenas uma relação que possui as propriedades transitiva e simétrica.
Apenas uma relação que possui a propriedade simétrica.
Apenas uma relação que possui as propriedades reflexiva e simétrica.
Uma relação de equivalência.
Seja E={1, 2, 3}. Considerem as relações em E:
R1={(1, 1); (2,2); (3, 3)}.
R2= {(1, 1); (1, 2); (1, 3); (2, 1); (2, 3); (3, 1); (3, 2)}.
R3= {(1, 2); (1, 3); (2, 2); (2, 3); (3, 1); (3, 3)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade simétrica?
Somente R1 e R3.
Somente R3 e R4.
Somente R1, R3 e R5.
Somente R1, R2, R4 e R5.
Somente R2, R3, R4 e R5.
O aluno precisa ter habilidades em manejar matematicamente essas equações até obter a solução. A letra aparece não como algo que varia, mas como uma incógnita, isto é, um valor a ser encontrado.
O problema é traduzido para a linguagem da álgebra da seguinte maneira:
De acordo com o preço cobrado por 1 pastel, em uma lanchonete, verifiquei que com R$ 3,60 posso comprar 3 desses pastéis. Qual o preço a ser pago na compra de 5 pastéis? E qual a concepção utilizada para resolver a situação?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
Apenas uma relação que possui a propriedade reflexiva.
Apenas uma relação que possui as propriedades transitiva e simétrica.
Apenas uma relação que possui a propriedade simétrica.
Apenas uma relação que possui as propriedades reflexiva e simétrica.
Uma relação de equivalência.
Seja E={1, 2, 3}. Considerem as relações em E:
R1={(1, 1); (2,2); (3, 3)}.
R2= {(1, 1); (1, 2); (1, 3); (2, 1); (2, 3); (3, 1); (3, 2)}.
R3= {(1, 2); (1, 3); (2, 2); (2, 3); (3, 1); (3, 3)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade simétrica?
Somente R1 e R3.
Somente R3 e R4.
Somente R1, R3 e R5.
Somente R1, R2, R4 e R5.
Somente R2, R3, R4 e R5.
O aluno precisa ter habilidades em manejar matematicamente essas equações até obter a solução. A letra aparece não como algo que varia, mas como uma incógnita, isto é, um valor a ser encontrado.
O problema é traduzido para a linguagem da álgebra da seguinte maneira:
De acordo com o preço cobrado por 1 pastel, em uma lanchonete, verifiquei que com R$ 3,60 posso comprar 3 desses pastéis. Qual o preço a ser pago na compra de 5 pastéis? E qual a concepção utilizada para resolver a situação?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
Somente R1 e R3.
Somente R3 e R4.
Somente R1, R3 e R5.
Somente R1, R2, R4 e R5.
Somente R2, R3, R4 e R5.
O aluno precisa ter habilidades em manejar matematicamente essas equações até obter a solução. A letra aparece não como algo que varia, mas como uma incógnita, isto é, um valor a ser encontrado.
O problema é traduzido para a linguagem da álgebra da seguinte maneira:
De acordo com o preço cobrado por 1 pastel, em uma lanchonete, verifiquei que com R$ 3,60 posso comprar 3 desses pastéis. Qual o preço a ser pago na compra de 5 pastéis? E qual a concepção utilizada para resolver a situação?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
R$ 8, 00 e utilizamos a álgebra como relação entre grandezas.
R$ 8, 00 e utilizamos a álgebra como aritmética generalizada
R$ 6, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
R$ 6, 00 e utilizamos a álgebra como relação entre as grandezas.
R$ 4, 00 e utilizamos a álgebra como estudo de procedimentos para resolver certos tipos de problemas.
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa o resultado de (3/5) + (1/3), definidos na classe de equivalência é:
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![MathML (base64):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](data:image/png;base64,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)
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
Para responder à questão observe as definições a seguir:
![](http://sga.uniube.br/images/uploads/14348/alg%20racionais.JPG)
Então, de acordo com as definições dadas, a alternativa que representa a justificativa da propriedade comutativa da adição, definidos na classe de equivalência é:
+
=
+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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+![(bar(x,y))](/tinyMCE3.4.4/cgi-bin/mimetex.cgi?%5Cdisplaystyle%7B%5Cleft(%7B%5Coverline%7B%7B%7Bx%7D%2C%7By%7D%7D%7D%7D%5Cright)%7D)
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Chama-se "relação de E em E" a todo subconjunto do produto cartesiano EXE. Em particular, uma relação de um conjunto E no mesmo conjunto E é chamada "relação em E".
Consideremos uma relação R num conjunto E, então:
- R Reflexiva significa que todo elemento de E está relacionado consigo mesmo.
- R Simétrica significa que se x está relacionado com y então y está relacionado com x.
- R Anti-Simétrica significa que se x está relacionado com y e y está relacionado com x, então x=y.
R Transitiva significa que se x está relacionado com y e y está relacionado com z, então x está relacionado com z.
Sendo E= {o, p, q} e considerando as relações em E:
R1 = {(p, p); (o, o); (o, p)}.
R2 = {(o, o); (o, p); (o, q); (p, p); (p, q); (q, q)}.
R3 = {(o, o); (o, q); (p, o); (p, q); (q, o); (q, p); (q, q)}.
R4= E x E
R5= ø (vazio)
Quais são as relações que apresentam a propriedade transitiva?
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