□ 개념
▶ 지방대학 특성화 사업이란
CK-1(University for Creative Korea, 지방대학 대상 사업)라고 불린다. 대학이 자체 발전 계획에 따라 비교 우위가 있는 분야를 설정하고 구조개혁 등 특성화 여건을 조성하여 자원을 재분배함으로써, 현장 선호도가 높은 산업 분야별 우수 전문 인력을 양성하고 궁극적으로 대학 경쟁력 제고를 목적으로 하는 방안이다. 2014년 한 해 동안 지방 대학에 지원될 예산은 2,031억 원이며, 이후 5년간 지속될 예정인 대규모 사업이다.
▶ 지방대학 특성화 사업의 등장배경
● 세계 고등고육의 양적 팽창에 대응하여 질적 수준을 제고하기 위함이다. OECD 국가들의 고등교육 입학률이 점진적으로 증가하고 있으며, 그러므로 대학의 대규모화에서 벗어나 특성화 전략을 통해 국가 경쟁력을 높여야 한다는 취지에 따라 등장하였다.
● 저출산 추세의 영향으로 학령인구가 감소하고 있다. 2013년 기준으로 입학자원은 63만 명이다. 그러나 대입정원이 유지된다고 가정하면 2018년이 되었을 때 입학정원이 고교졸업자 수를 초과하게 된다. 이후 2023년에는 학령인구가 39만 명으로 급격히 줄어 입학정원보다 16만 명 가까이 부족할 것으로 예상되고 있다. 한편 2013학년도 미충원 인원의 96.0%가 전문대 포함 지방대학이다. 따라서 이는 지방 대학교에 있어 큰 위기라 할 수 있다.
□통계
▶ OECD 고등교육 입학률 추이
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7J9btOXWyUiTe+8Y2t/Nf1DiLjFoB2O+qoo9o0AuAyVVmdccYZrQUpjCBTN9lkk27//fefUAglAjAMC4y+8GMJPkklTPTx+IWFC3tHBBKDKgD9hIhAfQVVGDOFG264oTviiCOaGCwPsopOY4MgNAikwmAlGsLkI189U7feemv3ne98p4kr4UUCy6Ak9mDVVVdtA5MILSKtV8RZViJS7F9LQkYfvRpsQdRY+uweu98l4krkORc2R53N88iJ49kWnvad/Wtf/zlIuB765fLLL2+iW37B9RLo8uywww5rfWPdH+XdPRhEJhwC9h69T3ziE9073/nO7pOf/GSrvIyeOeCAA7odd9yxW2211Ub2HD8RgGGQYWCEGBldLX5GSEVA8Gn5Mzxh+kGoCw+rZDVseQSF6arimK6ovEVmDAJx/j6rzDx7vFH77LNPt9VWW7XnkQg0NUeYWm666abumGOOaZNAr7zyyu2ZuvDCC9v6oYce2mxETZFS2Eci9ix57CT3s9YJFSLO74i/Wo4lXGqydPbH8QhD91/kTuRhGHDNZ555ZhuRrTywvQSx/ODA0jBS7nWfoG3Y6UHkXm/k5+wTD9tHP/rRbo011mgtFhNaGsGkU+hpp53WWh7LLrvsyN7jh5EyHJ57PIRBgZfP3FimS9C/T/kRWlhhhRW6ZzzjGa3VrcUfpicqUiJdh3eVZoXq3Uv3bSLRjqlGZab/n/n/VGpsskrP+avwnv/857eGOkHCB0A85Bmceup58exwdBBo7s/LX/7y5nVjJ3wm0CrxStnffbOPY7if7AYvosaIZb3tx/NK0JTnzvGENU3KLHl2HcvAIKFOE6Q7F78bFjzzrpeI1nVNuZAMwtl2222bQCfE5dFM8vj3y4Q8gB6gAw88sHvzm9/cHpw999yzZZq5cw455JA20Srj0i8nnXRSawHN1I7XYbjRSpSq1a1oMSq8fqYd0bDh6TMZsX2q5R5mBu6typf3TNiOEHQ/VcAVJnI/yzuzoFHhlxdP+FqUpp4xz6JKnxAgBLfccst2zq5BaJvNJUxc46CF/BYm8rLy033w7EiEHHtA2PHILbfcci0c6blRB7pXvudl5oEqj5512M897U2ev7I/PsN/EpGOTUg6njpbcl6+r+djGHCd8o4o1kiSLxxP5mL0HY+4pX7ZVS7ch5lQLpy3hhxv8nidaBMSgJ/61Kdaxu27777NiEymAJTRmZIgzATKuJfRZWBVvEIHWuM1L5Z9yij3VshhZuJeluCryoR3l/fG/RYVUVm71+7zgrjXnjHnZKAe4VeVlcbGMsss085RX6/rr7++2WcQH86Xl4Mw8HvPcpgYledV3qvMy+cSehqExB8hR+gR4z6r8zQkPDcSD57fO9ZYYq/+yz51zxzfc0jwuZ9CukTM6GMNm+gbjTyQ7yXGiW0iUDlxT2xTLoi/mVQu3E/PjujreLsT9S0AZdDBBx/cBnvULPKvec1ruq233rq9Xmj33Xfv1llnnTaEul/0AVx33XUjAMOMQgd7oRVlQwHUCjNoQIgmFepwwGNA+POoVQVCaC3IsKr5zbzTlJeP+NS94AUveEETAs5Po10DhSggOoQRNVQ8q57bMDkQF/K7ugkQEDyzKmXPhleP1T0izECoqzcNxFD/jdduVONDlIHAcx+JS+LFcaZj94Tpgj6VGu3KLfvtHshPDaIqF+VxHVT67gOoX8nVV1/dvfSlL53zcOlHQinLQJOP8gR6kPuFCtc3yrFCmK5oM+k3wttiEmFGXWXq2dVXzLPPEJdxD4OPyl2FofJQeav4jfYU+vfdVNo0nr2vfOUrrb8f7w/Rueaaa7b+TLzQPB7EhqVzUfEJEXlmNVZsK69V6A+2gNDTCPSOX6PGeeLYBHlaQkxjUP3oGam+ZZJ196HCstbLu1xevtEQLDy5RrESf+6r/2B/3G/2pzxXYWzKCyr1lguCr8qFe+M+DHK56NsDWFO8vOUtbxnZ8u/+Jq9+9avbw+hVNjyC1RelHzIKOExneFBM46C1zUjw8jDsDLnPIRS8wYSAxNvjs9CwaX4ms0Jhc0899dTWCFeRERwGeHipffUDIv54pYS6CFPrxAGRoKKbKX2cpgPyrgYB8R4RDRp7knqRgJAICp9H32vVrf5m7IjfsiXqSl5ajUeep7G8dvZTz1r6nt0h+txD9me8fb7C/6Fc8IQrFzy2veVCcg8XpAd/YdC3APQQetg9qL1o7SoYSy211H98N14iAMN0QoXKMDDWPH6MgWdTS17FSfQNcuswzD/MKw8dzxxvIAHGS2P0pYp8fkSXkK+pLIgCeDY333zzZoN7j+sceDpUcESHio/gIxqqkov4uyvyTJJf6jWJmJePyn6JZ2Kv8lGaF+yJY+qjqb5kO3gK/U53AbNoEPBEiHtUok/D038J3Wt01v9PxMkS/o8qF0Sg0G+VC+XSPRmGRtGEBoFMFRGAYWHDCDAGKmtTAag0dc72TDLOGj+D3ioMUwNPAzGovxEvkJAdIciD088z5fk899xzW18yDRS/NYp0ww03bMcci6rsPN+ECPHhd/H8/Ttv5InkHvHsGSEq1Oo75Z7gqj51BBrx1W+I1bHYE4Lu4osvbv8j/zUoeYYd3yAR4WT/7X/ZHQ4VdofYjO2ZXIa9XEQAhoGiHmeF17plFey5ITynFcgwG8mptc/omvdNqEULv19jH8Lc8Lzx/BCCppMhLoSHPXOetXlVPEKP+vtde+21rdIiSAy+e97znne3YUDloRKUiWEUfyr8SgQf7yzBV4KsQqv668lfgqBEwfzg/9x3ot0bWkQWCEn/554Q9jx8wsFEof92T+dlu8L8o37AMJaLCMAwUGhhM+SMt6XCLDGsvaiEhXfKI6Oflha3MIznTwggoi9MJSoezyuPj0794Akyqe9oTzMzTTCccsoprd8fMUEwGuVr3q9+REKZ/GGp5Ahl+azMlxdWIsQIMI08ZZ8QI7gIvbIb40WeSuVJsvTZf1r3v+xN9R0UYZD/zout8doxEzI7D3ZnGIX5wmbYygUiAMPAwPBK+tiUwFNRLr300q2yZIirBc7bp+JV2FW6vH1a3PPbyg9hIng29THjGeKBNiCAJ0h42DN95ZVXdmeddVYTEIShhsrGG2/cpnoJ/4e8UvYJKx415Z34kqfCq8p4DaCoUbjjCfeVuJPYFP9RS8l/WPo/S7bHUp9P94uwI/QITB5H/fsIzBLy3qSlj1/sT1iQRACGgcBjzPgzvKYpMiWDSoChN8Enw6vy1LdGxaBfn8pTJZDWdphOaKCYTsSzaqARwXDZZZe1Z9tz7BWCxJ8w5bBDQCnP1ZFfKJfQI8gk+ScaIAJgObeyznaUl7CEXn127BKUveu+8x/uCYFHTPo/Qq+W/rMX99DAjmqkEoxPe9rTuuWXX36O9y+EBUUEYBgIPMYqA4ZbeEUnaxWp1rXO0yoF/WrqvZchTHeEfL/2ta+1hksJEYM9tttuu6EVCvJBWSakiLDedd9p8BFdlkbLFuyCfUow2rdX4NX3td3nEpWEtpB8DcTgRSTwCL/e/7g72CjHJO71NXYubBTP33Oe85wmUnvD/iFMNRGAYWBguKtjPQ8gY85I61+j4mTAQ5juMMkmGCf+dFOAhgtPEfFBdBAL7CQv0yBDMBF4PGXWlXHJunwqIUak8cARbva35A0szx6x5TeW7EItJWJRPsrXyt865mQK7RKf7qkuKNadm/+vUcDp/xcWJBGAYcbDC6BjvFAZw2rOPn1ptKYZ8hVXXLFNt8G49tOxO4QFjZDiN77xjfZGJf3HiBoNGJM7GxzCGyh86JnXoCEazCtICA0C5c0rwSfJE4M2fFfz7hFpyjhRRUQRfMQcwWebas125b3CsSUSJ+K9mwycV4lZfRIJVOenG0p5LJ1fBGBYUEQAhhmLudQkBpWxZ9QZU0LQNgaX4dehnvfEegRgmK7o8+d1bvr7eXZ5owwOMMXLaLHi+ebl9hsNG+JGv9a5zQM4XSGEhEFdD6FHFFnXkLPk6VSmiTbXWQJPIvo08nxvWQKvPHfE4nTCuRO3xLtrLS+m83R97nc8gGFBEgEYZhRa0PpGGTHJoBJ0+vYZFcmAmmLBd9VvSsdqlYgWNoGYUXZhOqJfmFG+Jh/3XOsXtsEGG3SrrrrqPBst9lUeNIQ87wSE0cPKQwkJJp7w0AAinGy3zW9tm0r8n8YZwUP48GpalhDy2brzUX6JN4LIdbhuS9sJu1qWwJNmEvLbPZIfkryxzXWwTe7FeEYkhzBZRACGGYF+MzpOqzQqjOOl570eDy1qXgPhIp4EHgKVCQ8BIRgBGKYbzO9FF13UnX/++c2bR/SYFNr8fv1O8aKMSMqAZ1/ZcCzCQsOoQo7VR47HUDlyDhMVHcojUePYyp/Pjs2rVyFZYsf3lsofIac8CmFbd341wIIY8llZHUTKeylV1SvveTDlzbzEfgiTTQRgmLaoUHhE9OlTMQiDmcNLX6jR4R2PsYpHBSSpbGxjWFUyKhjCMQY2TBcINV6/Sy65pD2znnGTOuvvx2s9UYRVeQSJPh42ZYZNVY54xpUNImu11VZrnsZ5Qbjx0BF0ypfjKZc+K1+Oo0wpW7bbl7dPCNd3vPM1KtdnZVgiPIcRedabQABKsU1hQRMBGKYdJkkVElPZqDwkFZUpXeaGx1irWiUlVQubUVWxal0TgzGyCxbChjAgAML/QaCdfvrpbUCHZ1UDRV8/osz6ZCDvlSVvuSHICENeOeViySWXbAOjlAeCkGjjGbQk4uyrvBBtlsqQJc+cJcFHHPpNiUTCTll1/rzufmt/DTC/Cf9mblVuQr9hQRMBGKYFKhIhXlO4EGvCVzwX0ngrROEmj3Mty6CW6LOMkV2wGNFKyG+yySYjW8Lll1/enXPOOU0EelaFYuUPUTYVXRQINHNj6itYr5HzP0SaskWkSUSdJbFHtNmnBKDkOASi+0k0lrjjja9Qbh3HMUII05sIwLDQUPnp98TbJzQl7CW8y1ukcpqot270Ix3Rt3AgEk444YQmOsq7Nczwvp133nndhRde2PqpElVLLbVUt9lmm02ZzVPG/K/yRYxrYNnGU+ftE6aQIdqIN+XNORF+ygwvoMR7yJtI5FUI17rf9f42hDCziAAMCxTeB5WJCZt5JFQcRizy+PFGqFjCYOC9tuazE5InOl74whc2gT+MEHynnnpqd9VVV7X88Jyzdfr7je7POtkQ4sqa/oYV2jU1kv6GJiAm+ITpTZ+kb58lT5+BGkbcWhJ9PHvl3UujKoSZTwRgmHJU/ioYlY+KSJ8kncPNzcfbpzKMB2GwYFZOO+20JvR1+Ccqll566W7ttdduz8Mw4JkmrozMPfPMM9uzT4wRfDyiXv/Fg6ZRNFWUB9D7Z3kfdbUQwiX8VlpppSZGhXYteQUJPd5396xCv1IIYfCIAAxTBtHHk6ACrNCTqS0WW2yxVvGln9Dgos8ZjxdhQYAQEZ4Hwl+/zkEWgbxjhJ+BEUb6ltebICSu5IWwqX2mUvyBeXcPCEBL58QbSYSuv/76cwZXEXzOR0pjLAwy7JGGkKWywAmhTJYUstQ1SZckjaJBJgIwTCoeJx4GBYsI0H9IhW/EoQKlgkn4aLDxDOhvdu655zYjy+sldMjICie+/OUvb6HFaWR6Jg3PtutUBgz0uPjii1seaOx4H7X+fvKAAF5QIthI4E9/+tOtTBLh8l2lJyRv4ElCumGYMAjr5JNPbvWShplGWA12sq6hpKwopwcffPDIrwaTCMAwKShIKj1v4SD8FCKePh6/qe7jFKYXjOg111zT+rvxONWAAYKHkdX3zLMxqBBc+tu5fnmhIjEAZr311mv5sKC5/vrr2+vllFHl0n0g+tha7xnm8YvXLwwLF1xwQXfUUUe1LhAaQrqnaBiVR15jSNcV5fYd73jHyK8GkwjAMF8QfL2vXxNK4lWYae8kDZOL50HYn9dXA0DjgKlhVD0jRCGDO0i4vmuvvbb1fSQCYdCLt3oYcbswcE4qNV5IAzyUUeEvQlTl535YH7R7EUIvyoEyoKFjYNqRRx7ZBkJ5U44GEXulgaRMKB8aTL5797vf3X47qB7yCMDQN/r11cSyKhQFy3QSOpbH2zfcMCdaz54P76Q1qEB/Gs8KI0pwEIVCwLyBgwJP57e+9a3m+SN2CSrdHszvp2wsTAhAHg4NNd6OEoBCYPo4KbPxAIaZhG4l4NHWz5bdIeSqz22t+x7Kp3VdUW688cbu0ksvbWXUzBOef7bJd/bRUCr7xQPou0EtHxGAYdwoFEbwquCIQAVHiHdYp/YId4XxvOWWW9rzofVM7BEdEqMKwo/wqFGmg9CyJqq8y1d/PxWTSsUIX1O8GPSxsFEZqgCJcPfCusqO+OPxGERvbJg5kCCeSSJLvVIDpmxjN6xrwJQN8TyXALTOAVEyxnbrknU2iZ1hc8rTbUAUL6BuEMpqTWDuPzRWbXdMg6MOO+yw9nlQbNVoIgDDPOEt4NHhIlcotK6e8IQntClcVBwhwHNy0003NYOsCwCDygDbbpoRRh0aDUQgw8sYz3SjamqXr33ta20yc9duVG1Nej1dvAbKrHuhcnUvlGMVmnvgXtSI5BAmA2W9ZIUGh+dPObfu2bOuMUJwWVduJOvlvavt9dtaB9ui8WJ7iTtlTbLuWS5xNxbCuzx7jmM/KAPOu+yU8xTResMb3jBHJPq/QSMCMIwJT583OKgwoOLWZ4L4C6EXLXMCiKHk+WOAmRVGmyFl6C3B4DKmlgz2TDaqwkjm91NWXItG0UYbbdRCv9MJ90FyHyTrzpcXsMSfzyGMRjlWB3g+iCPefevlUbbumeIFx92V597vPYc+85KrX3zWIJGIPdt8ZztnA7HXD87XuTtX4eBqAH3nO9/pvvnNb845nnMo++R6eQ39ZokllugOPPDAdg7lPRw0IgDDHBRkHg3z9ikUKgf9tfRhmltrKgw3NdhDy1t3gF5KBFaCCqPS3VUW0xUVi5DvRRdd1CoUYtYULwZ7TFfbVfegvCgo4SeFBQcxIhkox0POM2Z+zH4FzkSofnHKpv9l85VD0554rj0TttsPzqkadJ6T0evw+9quLJR3DtbrO+t1jcTd/OIcnT9RWuLUUoO0RJ/P1i0r+V4e9Nqf8jQ6T2LQbxZffPFu//33b7bN+db1DhIRgKF5MG6++eZWmem0r++WUFbuQ5gXpvvRWHjSk540z36gY5mYXuM7k3C9BnqY5kZYVV/Gddddt9ktnovpDhFYFV2E34JFnst7z84ll1zSrb766t0dd9zRBNdWW23VtyhyL3nhQLBY9x+eS8f0PTHDO2fpflcoUyLWStTUut/zDNe6+qC8c7xwPlu3j2ffPn47FeKVOC6BTLgRqT67zhJ4rotnjxCspX1R11lYlwf2kaosVDlwLfCd/+EB3G+//ZoA5ACJAJxiIgAXHIyEDvu33XZbK7xaZ5KWqEIewrzw7KhYeP14iYcBFfcZZ5zRKm1mU1nZdNNN58ylF8K8qKpW15rTTz99TghVA2KVVVZpHizigyghdggc6zxWkn3tIzkWESY0CTa8xB2hYnuJmxKW1jVSfO87ooZ4cyzrjmfdcRYExJvrcj11jURceSCJPPsQdOoroqw+89hVmXMtlZy/6xO2dU3qNEuDneSJLkxXXnlld8opp7T97VvHgW3ugfNg217zmtfEA7igiACceoxyMjEs46Pi5ulTOKz3FoQQxkKr+brrrmuGmIHkBRh0mEiTxwr7mvZIJcE74K0e+sWGMB6UGY0Hsyl4G4XBdWwu20t8ESq8bMSNJSHm2SNcJOu217rvrYOQ8x0IFYJlLIGzoNFFpERdr7hT/xBahJ1kXZJHJfyct2uoZSXXzklB3FXEqhLhZ5u8kSfyx9JnItnvL7zwwu69731v2+4zagnHd65PfepTuwMOOKD9TwTgCG6WTDHlwQorrNB9+MMfbhn7qle9qvv2t7/dFPOOO+44snd/RABOPm6vAsXYCPN60M1vZIi7AsPohDAeGGjij+HUP6Yqn0GGd4K3htdAOXLNRvh6j67yE0LB1kr6l/GOaywQQESPbjY8WMRdCR77+qxRVULGd/qSstHKmX2Iw/LOTUWodX5wjTx3rtH1cTAQT7aXqJMfrsuy9zOIu7GEnutVR8kXDgoCjLPCkiCrPJEf8qlSr5CbG15T6U0g9i9RV7+Tx9adpwYuLRMP4Ahu3LHHHttulNeoMIYyyZw6+sV4xZPRNbvvvntTz/0SATg5uKXulUJp0kvGyEPMW6Ew8dq4hyGMF/1Db7jhhtbCVrYZz0HHfGGnnnpqGxilPLl2o3zZOZVPGD6ItUrEG6HDzrKxlj4rK+xseaQIFl0HeP7YYOKCh0sZchwixr4aG541U48QgAsDdUcl5ybc6rqEpCViz5IHz7o8KEFnf9dmm+tzjPJAWhJWtW5ZdVH1sbOsz+XBs6/8sZyMMufcXI+BawTlvBqx9iVqdfVwfs5h0OhLAOoDc/TRRzcPoBtVLWAPrLmvvOtyl112af1idGrtFwJwzTXXbMo/9I8HVgHUOZ8h8dlcRjrpCw9Mt9ZjmBkw+KZ5MRp8GBpnyg1bR/yp2FVE+g6xa0K/YfApgVeJ2CHuCB+pRFGvyLOU1I2emUrEDo8T54gJwoV8qx8bUUSEWPcmGf/h9WNT8faYEnWV/CfxVqKVl5KXuz7zXo7Oh97kO3WK67N0LfWZWCpvnTwi6njzKq/kUQnB+s2Coq5Rcl+J114Z5FzcN/0liVR6pMLrg0ZfAlDs/J3vfGdT4jxLPH177bVXS9ttt123zjrrdAcddFDrFD2RMDABaA4tyjzMGw9pFRq3UL8K4TmhXoWtOue7Vx5m+1QK4e6o54uR5Pkzx51yycgP4jNUlZdKTUUtTKQSdK2LLbZYe6UbT4D97BNmDu6ZZ9myEtxHyT2udXbUM0/4C2daEkLEC3tKEEhsrKVnRiJmelPZ2kqf+cxn2rRBpn5Zeumlm6DgJbMvTKKu0Y7Xve517Znrpffce6+hlv6jqPVaEqslYD3TPrtO11UeO9dODPqNpc+2j/7P3qRekSeVN67JknBiK8qGVPKb3s+jz9Oy0lThmkoAErxEvPvgegvnpt4kVt0vgpVIr3s1nXGOxLVrGA99CcDPf/7z3Yknnth94hOfaC87f9e73tW99rWv7T7ykY90W2yxRfMAHnLIId1SSy3V7bDDDiO/Gj8nnXRS8155oMJ/ogCVcdHPQiFWCN1wD6yWTBkVRsn+U12gwuDBeKgYPDeMn+dskKkKTcVYndMl5UqFxpPR24gK05O6j57fWkfdT/ZRsk7ksJP2rWX91ufeY9Vn66MTep+LuT0fJh8mKNllz5RQcD1TP/7xj9vgEOdFnOhjWhPu+29UiNWSiGHna1nizbKEm1Trvdv9X+/SNTgP5zXW0v9X/kj1ubZVPo2VCv/Vmy+96wsa/y3PhHbZNfktH0bj+og+WoSwlRe91zQdcR0aJRtvvPG4+/b3JQC/8IUvtA7RxxxzTMtII2m89kkfQC1kHkDhYYNDXvKSl4z8avzwABoOnz6Ad6UMjRusgtJXhNHQp0QF7e0LWipVIN2bPm5rCHPwDAlP8UYwkssss0wzgIP6PLlelSMPjKkhNEAh7ONdvquuumr7bJ8wPRgtMArPqArdc2vpObbk9ZJU+Ja8Pu6nuStVmARZJX3PMK//6F2OFyHgc889tzXUiSv/y6PsfMwtWcKU0Nhzzz3bICv2nrAjWHjrXE958Szrc3nuRqd6Zl1TCRr/XZ8tCQV1SIVnhWt7P48X/9fL6M/TBedVAlA+ej7k32jkE7s3kwRgUXphPPQlAI385QU8/PDDWybq+7fHHnt0xx13XBN/a6yxRusDuM022zQV2i8EoNYPMRP+Dw+pUITCTvQxFEIEwzISMyw4eJaJIRUVT/5MMXoTRVkywtcr3ZQvFaN+sxtuuGHrRhGmJyX0JM9sLSsRRyp4IqrEHWEjCU+W0FtQ6DvvGasuOZ4zHmbiQ6PeeapTCUEDIYkO18Er7dqqmi5RZ2mb5JiSusCxXZulY9jumn3XO6rWd/JkGJFn8ro8wWM17twfIlD+WfYjqmYSfQlAD+PHPvaxloEyzcN66KGHtjmyvBDdA62Vte+++7bWTb9kFPBd0eoTNqiOx/pW6ISe9/GGqcAzRvypIIZhsAN7xiujYatCUEka4WsajhrgFhYuhJ46hRgqD16JvwqZWrfUL08qsUfwLMgGcnmWiIo6P0k9efLJJ7c+2iUqQPRVA8tv/U50h0Al0HyvniVGeOr8rkSdpWsj9tQL6l7l1n7WCT15Ef4T+kWq/J0bRF+lQW0I9yUA4RU2Ril5+CyJEQ/uG9/4xtZZ3HyAQicTIQLw36+/ERLg8WP0GAahCp3wxxvXD6Ffqh+SsjcVIxCnG97G8NWvfrXZLPaLYPBGBpEMFW5YsBBwxF0lQqjEFAHFDlpK7KAoEcEjEXwE0VRCLDgXItQ58DA6J58thZVts/S9xlSJVkuJiFDd8s4RHpJtkmP4D9es8WUaGHUsIUfkuUZ9UYk7S+FZwo+gDBNjPNJnUIVf0bcAnEqGWQDy9qmAGT7GgEEz35opXEKYSsyJxdPseZuI534mwdxdddVVLRynv5/Wve4UprEye0GYWogjIsmoVLauQpzEUHlkJDaw+qdJJfamqhHsvHjrStA5N4KPGC1BZ7slser87V+CDyXwevFZg8JvXJdjlgewd3/HcnzfvfCFL2z1oOsm8kKYKiIAJwEGrFp1CrV1BkLrbV59BxR6la9+fYwfQ8FtH29fWBB45oR8eSf0Jx30sCcPzXnnndemeVGxK28GrIlYDHqjk/BYkN4ito2IIphK6MnzsTwqzku4tubUk9jOyYSNlpwDMeaZ9zyw04SXZXkhS6SWEFROSqyNPn/b2HueOUsitT7z4LkW1+eZM5emOoLIG30c/+V8/G633Xbrll9++eYEiIcvTCURgPNBGQThWoaiCr5Cq0M5791Y4STeFqMsGZ0aiSWksbBmfw/DhwraO6E1UIScpjqEtrDRyOL1M+BDBU9grLXWWi3kO9liY7rABglxu8dln9gaIoSni0DxHRu1+uqrj/yqP4gj/0PoSYSe5Jijk/8vkcdOWp+MvHcOBF2JO3bV9RFUliX+fOezZ993JfgwWpCV4EMJOUseOUtCj5Cz3bLCsa7J0me2vQTckUce2frJ+zyWU8B/lQdw1113bRNGC/X6HMJUEQE4H1TWMS4mYDaxJCFnOwOg714VdoXbu3iFeRkX33PxE4nx9oUFiUqPMPAMGumqYh5kTFpP/PG2Ez+8TQZ6eJ0lYTKoCHV/+tOfbg1LNofoIUoIJvlAYFT04e1vf/vIr8bGPoRdib0anAbHJFQkz5JliTtCz3M2P0KPuCPa/X957Yg3/1/CrkSe/Wqd0LNECbzRSzg/NtjSeRN4lrZZlnB2XRpKlq7H9t7jzIsTTjihPYN+I78w+rfymKDcbLPNmkfe+fivEKaKCMD5QNaVMSXueBcUWKJPATbjO4MpzCakwJgI8RJ++lqN1RIMYSpRcRNCGioGewzyM6hcmqHAG4z0sYWpbUzxMpF3lc80Lr300u6DH/xgCydqjFZok/BghzRK5Q9x8/73v3/kV//2lhJbIhuWnhm2jmAkjiTrxJBlCShpIkKvhJz/co71hgrbS9yxs4Sgc7atQqaWrqcSRq+zt86NGHXOvHfO03lLJWDr2og0y/LezS/yjnPgtttua9fEC+kaPJ9FnbNzNUm0wZXONwIwTCURgPOBrNO3RmE2ipIAZDQJPUP5GS7GRGXL66Bwz09LOIT5wehynmqDHgZ9KiFiwShfIkg5VMnXFC8EwDDw7W9/u72tyb02wIWoIe4s2SiNVt5RI0z1g/SdvOKFIuxK1En1uYSf9fFA0JXAYxvZSp+JN0KP/ST2StgRevYtu+pzeWmrsVJiSWJfiVlCic11be6v87TdfS9RZ52os/R5QTV+1BPEHs97TeDv+l1j4Vxcp/rB/eAgIACdZwhTRQTgfCDrGC6VjdCuF8jz+CnMvCtacq6FIRrkUFOY/vBC87B417YKfpBRyZ566qmt0z0BwstD4LAtg97XsZfLLruse8973tMEUDVAiauyW0KphAjB4VWehFMJPr+RV8TSvHCMGtVL4Fh6zvyPJZHjHpTQI+jqM4FHxLGXYy0lws65E3TO33nVRM62l7DzG99Z+s1kee8mg8pv+VNeVddOFFb161rVESVcJWJwOl1HGDwiAOcDWcegce9fe+21zbvCoDJCXs/mzSgqnxAWFipaXh6VL/E3Xs/NTER55IU/44wzWplUqQp9ek2lax/0RhhBIbFJhJhXdHp1J0Hk2mspn2pwhKXGqgn9NQzYrsKxeOnso2FbIk8iYiz9l2eMwKl1As9vLR3Pf5bAsbRNss4++t/yfBFxhJ7tPtuPyPNbYsjSZ7+dScgX+V35J29GV72ulZh17bx/1l1vCFNFBOB8IOsYPR4H3gYhNgWWEdOCM5KLYUshDgsDFY7nUsVppC8BMKioUL3VQ38/gkVlqg8uzxaP0SDC9pTo4lm68847W389fc0IfaJfGNg+bBDR5FmwP+QZUUdwmXvO947juRGmFdnwW2KuBF7vf9ruuPLacS0l2+r/eBUJPIKGLbRegs//1u/rN7U+aMgreeaeSNZHV73yqzyaJf7kRwhTRQTgfCDrGEZTLDC8EuNYrVeJIY4bPyxoVOymeVHZGpA0iJVqwRulv19N8aLMrbrqqq2/n5DaIMCusDUSMaEf2e233948nSIPGp1mFNDwtO66vXqMB9C9Jy6ICTbL72vpeASJ9x/bVsLO//lMkPjd6CWbJrFxxAqRLd89b+wfceezfSvVOVgOG/JSKgEtj8dC/rhfEX9hQRABOB/IOgaUx0ElRAgyoIyvlq9Wr/UIwLAg0RC55ZZbmiCoKUAWFMoCQTEvs6JiU04MRCAeJor/cJ2nnXZaE0M+EyLrrbdet9pqq01boeE8nZs8kGqdLbFOIBCy1nnjiDy2RYRBkseEWAkFsD+O2yu0NAL8rlcAlrCDdf/pv3RZ8X15nhxfkp/6Apaw9NmywrWO25vC3Kl8r+XcqHxMfoapJgJwPpB11YJmbBlr2xhOwk8LmEGNAAwLAs+ed9zqkmB+P53kFzTmOzPgRONnLC+HSo3QEJrefffdu2WXXXbkm/4gWoQ39ferqU28QWfzzTdf4FO8yHeJHahrtk5gOS/rJfSEWIVWiSxh1hJorsFntoPA0/fO9jqe4/d6jnyGY9b/+66Em9/qj8wu2aeS86jflegUjt12222bqGN7efA8O+5TCGFwiQCcD2RdtaIZ+WrBM75EX41G8zmEqcSzxwvGE8SbIxS3MDjiiCPa9CImWSZEiBJlolAeCNSLLrqoDTxYbrnlRr4ZP0SNV7o5htGUGlnmujPYQ+hxfiiBpVw7dpXxWve9ddskgyOIUdut+w617trdE6KvNx8cq0yv39Y66hzA+1b2Q6PSun171+0jX62778S37zQGDASx3WeCrv7H0nmzW2YrOOCAA9rUI47Ve54hhMElAnA+YawllYEl4ykxtpYMbwxqmEp4noVCVejLLLPMfIVV55cPfOADTZiZc8/AE5SJIVJ4vC655JImEs1R168H8Ic//GF7o4IplxyXp2rNNddsr3Qbi/K8ETryybp8qnXCmacMtvHCwf5EnDJtf9uVcccj6PwOzsFxekUbbCvRVd/bV3KcihK4V0SXdfvZX+Sg1muqE78TftWo9Hvb/c668Kx9RyOf3/ve97Z1eT96H9fl2o0C3n///dvxS1iGEAafCMD5pLJvrGwcyyiHMJmYUkLIlZAw6pVwWJh86EMfat45njhTr/AqVcOIaBL65akU5vT6sX4EoEEe3qfKg+h6ebv09SM0S9DJD+LNOk+h/yFobBdmtc4bZ1355KUj7pRfqfKvzhm9ZbvWfacPXHnMhFEJt2rwEYrEbvXNc65Em3yp39nmN/pC1ohYQs2xJgNCnAB0XNda11M4LwLQRNGve93rIgBDGDIiAEOYoegn5rVuxIORvtMBAlDYkcAhZOpd1wSVwQymKuF5Ishe//rXt1AxEUaUMUWEE+Fmf8k6L5clQUPo8YiBuDTYynEdg3Ah5ogaYsfxCB/L0eslhvxHNdSETh3bd/rBlefNOtFm3TW5NkLN/sQbkSm5LuLU8Yg7S+fkt8SfNwI5Z79dEPAACsnPC6LcXIl77713BGAIQ0YEYAgzkBrswXsjhDdd8O7Z888/f443jKAgoAgN4oxIIvJ44IRu9T8j6gg8pqg8ZyUA7WebY1Vo23b7VkgWJfgKoVIiDAQXoQiiTMjU/tZtL8Fj/xKAxJ1jOKbthJ/9SzgKDxttbVRueR+dFwhEgo/YW1i2zLl4PrwNhBeSKJZfdY6o63Geps0xCCQCMIThIQIwhBnGrbfe2kaTGu3KazOd+MhHPtKdffbZTQTVxNMlOnpFGzHIc0lY+VzCyj6ECSFGiJRIISAtiUleN79zXILFZ7+rsKp1vyfi4Di1vUSfY9X/3B3Oz6seCSqJiCVGHbc8gbx7jjtd7od8lmc8qzykhLTzHi0A3SN56twrPB0BGMJwEAEYwgzC5L48Tvq9lcBZ2BAVBmeYkPjkk09uS8KKOPKdRHBJJQCFTEvAEnCEB3jniDrXSbj4jT59rterFQk/3kX7O66l/ZmxEpzzC7Hkv11HnYP/8F+SfOc1Iyqd+3REfhB88pnYJgTle6+5d13ukWtzLYQgYWt7CGHwiQAMYQagMve+aRW2Of5U2gsTYUWDObx2jEgiMggnHjIir8TFaIgQ10LUbb/99q0PIPHBe8cjRdR5nZs5/mrqlBVWWKG91UNYdSpw/vomCucSss6F0CSILAk+3jFeMt/NBJh196FGP8vzXk8r7MPbRzh7nizdswjAEIaDCMAQpjn6x914441NKC222GKT5unqB2KC4DPoRNIHzkAO/fWIDOKNeHCuhIbPY4USmRsDNqS99tqrW3fddeeIKq8381YPI4WJFuLr+c9/frfKKqs0r99kUN7KCun6T0JP3hJ6PJAl/mwbT4h4ulIiUCjYdY9l6om9unful/UQwnAQARjCNEZfP9O81GCPBVlBE0fmF+TlI5YIPiFFS5RoIEgN5jANDe8dT6VtxMVojxOIEd693Xbbrc3fR9wJ+ZrihTjzG33qNt100zav4USv2f8Qms7doBmij5eSJ483sfq9VVhZGstrOZOR55K8GIu6R6PvVQhh8IkADGEaolgKSeqHZoqXqR5cUH3zTNAs1VtFeOKMIOXlI46qbx9PmVevCUfzSgohSscff3x37rnn3qUPoGNUeBGujajz+jHzAF511VXdBRdc0LyJtrveLbbYok0hMx5K4Dh/AlU4VyJcnbvRrQRliT5Cz7nqzxfRE0IYViIAQ5hmEGPCrLx/Sy211JQMNCCWJP9B8Pk/XjKeOWKP5wyEmyRMywP59Kc/vQk0AtCAAd/1wsNmehRJmJj3kueN6PJ7YVYiz1KIVbi3Qr5EmfL/vOc9r4Vg50aFNSXeSF5DcyISy/q6sR8E86KLLtr+w3mOda4hhDDMRACGMI0gaogmQsabNCZr0AHRVMKOd4/o4yEjAP2n/7PkuavRrsSTkbpG4PL0lRdvbiFZpsT/EGUGVvDseXuHY/HQ+V0JWp4510m4+c5/6e/nzR6jj1+DRiR9DEvwCe2CsOTdK8FX3sfyOIYQQvhPIgBDmCbwghnsUUJpfgcgEHuOaYQuwac/H/FHSPH+EXzgeSM0eem8FUJol5fPVCf6+PUTJiXW/Ke5Cr/yla+0dSFY/+k8KhzrPCrkS7htueWW7X/hvAlEv+VR1BdR4lWUJ0QpG6FfJDHpHPs9zxBCGHYiAEOYBhBDQqEEzTOf+cyRrf1B0OkDJ4zLS1aCj3iqPn68bUSUECvBx2MmrMvDR1gJlU4UpsTxibfTTz+9u/zyy1ufO//nv4lAgs6yBKfBI94IYj/ePSJR4uETQq7QMZFI8BmwkQELIYQw/0QAhrCQES7VB4/IkfqB4CMeiSZeN2Fdffl4z2pgBLFE8Ol3R2Dy7BF9PG5TMbjk0ksvbdO5+N8SlASoz+UJZHaElpdccskmXAlDgk/fQkKPMDQIZH69oCGEEMYmAjCEhYSiR6wZsWokrdDo3VECimAyStgAi5qMGUQfsaW/nilOJKKKsOTh402bSlHlnI488sjWD1BoWYhXIkRRolSY13muv/767ZyU+X7FbwghhInTlwA0LYR+PTqOQ4dtr2fCKaec0kJOG220UWvVT4QIwDAsEEHKC++dwR7zGumr3ClzUs1nR2jx/kER5l3j4dPHjuDj2eNF4+UT5p0qeO+EmIVveR3PO++8Ng+gEK9BGPrmwTkSfSX+CEGDPnbaaad27iGEEBYsfQlAc3Xtuuuu7fVNjLaO2+by0t9o7733bh3Afffa17629dXplwjAMAzw4unvRwxpLI0e6Usg1VQqvIMEnzJGABJO4D0TXhXOJfak8qIJnZbwmkycd4lR4tNn4s/0K7bpe8jbx6QQgzyNBKLrca7OyXXoI7jZZpt1u+yySxO+EYAhhLDg6UsAnnPOOS297W1vG9nybz74wQ+2fjvbbLNNt8cee3QvfvGLu7XXXnvk2/FDAHo1lA7hIQwiRJKBGQY3CPsWhJQwrlSvKLMktAgpwoqAIpiM1CX2Kil7kxnWJdp4Jnn1CD7rRFwNziBMnZcGn3Oq8yPkeBt5IP3mmmuuaaHg+q7E4QYbbNBtuOGGTayaIiaEEMKCZ0IewJVXXrkZ+sMOO6z1MeL9I/qEg60LDe+4444jvxo/J510UvMOzCscFsJMhFAi+ggnIo/44cUjoohCgq8mT+YZJJjKM0ZgCadaKhv6ChJ+vOyOYX/LsYpyHadXhFXyu97fSj47H8JN0tfQ0nb/X+cE+zuOa6vj1wTPrvM73/lOux7eP+Xacb0uzts/7G8/g1NcW+9xQwgh9IfoEPsrijre+WP7EoCMuT6AvABa9yqit771rd3+++/fvH/rrbded8ghh7Sw1kQEIA+gyoKoDGEmQ9BIxJGlMCmPGiFl0AbPGuElKbgloKzzgPMO6sNngmPCy3GkEmlShYNLPNV/1rFq3f8K0fLgVSLs/A8PnOMSaLbz/tV/1e/hf50rwSbEXKHn3oEeUglIxydor7766iYEGSQ2wnF85/c8hSUA639CCCH0D9vKzppDdrxvPepLAPaiEttnn326o446qnvHO97R+gMSgG94wxvaCUxUACYEHAYFgslAD4JHeTFNi35zBBnPn6JHxBFAwroEn0RYEUcaQkRYP/gvDTTLEn3EHG8h40Cg2UacWToH/0/46bdX3kDnZel3RukKMxNtvHbKJ+FWU7yMhWMLYevreMYZZ3QrrLBCt9Zaa7U8cF1EZAnIEEIIC54JC0Cd0w32eM973tMdccQR3cYbb9wM/G677dbe5bnddtuN7Dl+MggkzGSIJoMc6lVrPOYEjhAqMUT0gagjpMzFx9NHDBFVwrvjcd0TkSXgiDzeRCFknkKCTfK/ljx71Z/Pbwg8/0/w2WYJZoAXzjk4n+pnWGLPsRz/7nAcItP/EqHOzSAWYtF3/lvkgGfTf5UHMoQQwoJl3AKQUT/33HPbGwN4BAwG+djHPtZ97nOf64499tjWqtc38H//93/b1A7PfvazR345fiIAw0yDCCvvnilaiCr933jTeMxABCk/yo1XrClDvF+ElX6Bo1EkJUKPiCTuyqMnVZiYKNPnwzEsiSnhV/v4naXBG45T/fpKABJ7hJffEXw18XKJUAKSZ3AiOL/yKMoPST7Z7vi8m/U/6f8XQggLh3ELQLtddNFF3QEHHNA8GaZ7OfDAA1tlplM7zx+vh6kdhIYn0qqPAAwTQf+6U089dU440bNaosI6sUMESXvttdeE+5sRMIQcL99NN93UwrvCrYQOjxex5diEDbHH60XoEFfKCbFlW68nzfGcV3nyCDdiibdOOfN7c/sRi0RfHUMfD+KJqOON9xvn5RjOo87JOdtPUiY11IRzy/NYx5tsT5x8LxHoHAlQuEf+Ux6NHlQSQghhwdFXCFhlpbJl2FVG5eFAze+lcuGZmAgRgGEiGGRw+OGHN68zwcTLVZS36/rrr28i5EMf+tC4BaDjeOarDx/B55VtPHxEG6FFYBFQEpGlTBB/Jnc20tf/1yAO5YbAIxoJNusEG4FE5FX/OolQ6x0g4TiS/1YGTQTN4+g4JW6l+r9KjiPkWoNKiC/bCUj7TiUlmMsLiRKbdV0hhBAWDhPuAzgVRACGieDNE295y1vaq85WXHHFJjCIDwKHyND/7vzzz2/i0JyVc/N0KQolpDRoiD1ebR5u3jgCTiKgeLL8j/ArTxrRZxtvnDAvgSP0SeCV2CPeiDwh0FoSe9YJMsd1zjUQw9LviM+aDFp/PudAWDkn+5dHUKoBFhLRR0S6Xucz1YJvLFxDJTgP5xPxF0IIC5cIwDDjIQBNTk4I1Uha64QG7xoPIW+ZgQ3ve9/7mtAqiCiea/uVl4/oq/Ap4UI4EXsl0EpkOR7xZl8DP3gKwdNYoVv7Ennl4XNOdZxehEoJT4KR8OThkwi+ElCEn987l/KkEZF1LkQoDx9xNV0EFvNSJsbSdVcKIYSw8IgADDOeEoCEFVEk5ElwEXA8ckKuhJXn6s1vfnMTHwQXz16N2LVfeaksCShiqz4TWUK6ujf4zLtH+NlHESLEhH39B9E3L6HDe+e3EtHoHHj4nIPjlvCUHJ9nsTyOrsu5CDXzePLwzRRKAIYQQlj4RACGGQ8B+Pa3v72JNiFGYokI4zEjsHj3CD7h2s0337wNsCC6CDAQXJUco4SWYziWPmw8bkbu8uYRewSY/3IcosYbLubmdePZE/7lGRTSFcol+ISmbVMES/Q5Zg2S8N/Og/Akai1tCyGEEOaXCMAw4ykPICHGYyYRezyCNSrWY06IGaRkndiyJOwILkKLN434E6ol8GpAhjnrRiM0a5JjYtB8fr0Qmzx5xCfBV+/35eEjBP1vnQPB5//8N++i8xDKtXSuhGAIIYQw2UQAhhnPDTfc0L3pTW9q6xW65SkjAIkxnkDbCS5iS+JRI+4IL5494dSxhN5YmJePmBOKJdR48Yg9YlPiYdR/j+jz/1DMePkIPqKxRF/1J3QOzslAjhBCCGGqiQAMM55vf/vb3bvf/e62XiFcYotHkMiq/nbEldcV6qvndYU8f/1C1Jn02X8QmMSgPoZEH1HYK/hA8BGJhF4NDPF88zASfXMLG4cQQghTSQRgmLEYtasP3qWXXtpdfvnlTfBJvH+8ckb4EnlEmdArD9t+++3XRgnbhzgbD8K4JmquEcW9U8UQlv4TihJRSOQReDx9EqHHu0gE8k6GEEIIC5sIwDCj0Leu3sLBEyfUSpjVnHiwFPb1aBN5vIFEICHmTSA1Xcrcwq28ekQfr57+e47vmDx9tlefQuhDSPARlxVWJvRK8IUQQgjTkQjAMCPg7fM2D8JPGJYQ8+gSccKoPHSwTV8/og++K0FInHlNof5++uCVYHQ8vxfCJfpM3Exo1n/w5vm9zwQlcWeAhueU+HMsx7YMIYQQZgIRgGHaImwr5HrjjTe2cCvPHO8b4cbzZvTtaqut1rx7xx9/fNu/PH/26X20CULv491hhx2aiBO6dTyCj4fPb43sdawK0/ISCuHqR1hv/OBFtK4/30T6EIYQQgjTgQjAMO3g7bvqqqtaqJfXjUcOvHkE2QorrNAGcvDC+ewRPuGEE7rLLrus9e0zdYpt+ukRhBUC1j/Ps2UbIUn02YfgIxglv6/3WRN5yy+/fBvwUdO0hBBCCINABGCYFvDCEX1XX31163dX3jiiTXra057WrbLKKs3rp2+dbYUBH0cffXSbl094logj+oi7eocvwVchXKIRBB9vnudN8u5c4V4hYb9ddtll4+ULIYQwkEQAhoUGYeaNGEbwmsuP6CPmePoINf3qnv3sZ3fLLbdc62vHC8dbV1OvEHTm3bM0GTTh6LcEoP082v6DCHRsr2Az/cviiy/ewrkEn2et3qvrN14LR/wJFztOCCGEMIhEAIYFChFWffvM30e0laeO6CPgjNL1ajX97XgBee8IvRJ9Bnk4jkTg+cybZ199+gi5CgPbh3dRn7/NNtuszQPo+SIuCb/CfkSkc1hiiSUyIXMIIYSBJgIwTDkeMZ49U7bop2dQR++ADaKP4BKaJdyINYLQ9grhEmiEnmRfQq03CQnrs+c/eBNrdLBjEYDeAWzAiBCvMLHQL9EII379higUYiYgQwghhEEmAjBMOh4pXj0eOUuDOS6++OI2zQohp38ecSYRYbUsQWYfxyDsSuzVkteOiCPWpJqGhfgj9oRwTzrppCboHFfod8UVV+w23HDDFkI2Vx+haUCH/+NVdH5CwjyPdQ4hhBDCIBMBGCYMoVYeOkuJN42o4okzZ5+QbQk6wq8EVgk+njviTqp1S/3viDtijcCzTvARcXOD4BQqvuaaa7pTTz21iUGDODbZZJM295/f8/45pv8w2MP0MgaYCDeHEEIIw0IEYLhbePFGJ1OzEHeWvGzWJWKQ0CvBVx4/gkvYVTLgQqiXN4+gI8xK6JVXj7evH+q/hJadxxVXXNGdcsopbcDHmmuu2Tx+xB+h59g/+MEPut/85jdtOpmM9A0hhDBsRACGBgFlsIXEk1aJR43II5YIPUufe0OlHiFJ/zzLEoEVcjVtCwEmdGtduLbE3mThf+saiEAjhfU3JPgIP/9nXf8+I4+J2CWXXDIjfUMIIQwlEYBDBi+ZARnEnT5zte5VaASeEG4JPeuEXj0iPGcElL51KO+eRPwJAfPsPfGJT2xJvzrTrhB+C4I6F9fjui644II2qTMBSHi6ju9///vNA2mUcV1HCCGEMGxEAE4ivGWExnSAh4uAK5FnJKxliTufS+zZPtqjBwKJ50x4lmjyG+FVQg88feXts48RtPrTPfOZz2zib0FT5+189O/zdhADOzbeeON2nba5P8LCIYQQwjATAThJmEPu7LPP7rbaaqs2wfCCQriTkLOUiLsSfERPbbdewq3EXt16nj1CT5hW2FafOOFZyW+EU8tDaMnDZrs+fAZXEH6W+tMRigsb13XOOee0CaZ5/9ZZZ502MIU3kCAMIYQQhp0IwEnA5MNHHXVUCy/ygO2yyy7NIzZZ8Gjpd0fo9XruStxJRJ/kO+FYjPbqEWw8YAReCT2J8NMvz7qlMC7R53qM5P3e977XJmyuPn4GadQbNYhdwmo6wUt52mmntbwiVp3rSiutlJG+IYQQwggRgPMJwXXccce1KUeIJx4y/cte/vKXNyHVDwYw1Khax62BFyXuhHMr+UwYlsjr9eoRdDXIokSddQMeCD9L52ZErtG5Ba/e9ddf3xLxZ7AEASUUTDx6PdoyyyzTLbroot1TnvKUaTmAQkj6G9/4Rrsf8sc1GAW80UYbjewRQgghhAjA+YTYIAB5l4gqwowHaq211upe/OIXj+x1V4g7/QVL4JXoI7aIO8ve0bgg8EaLPcKOR4/Yk+pzCTzLmnJlXgMeiL2rrrqqu/XWW5s3k4iF/+HtI/qMmNWvb7p70eTlscce2/JNP0hL7xPedtttm4gNIYQQQgTgfCEs+sEPfrB5nQgwyM4Kya677rrdsssu2wRhCT6JMKkpV2qd961EnlSCzahbxybESuBV/zzirhJx04/AcY7ex6vvosER1bfP//EK6te3wgortKV+dP16MxcWl156aeuLWZNPy0v59sIXvnChDEwJIYQQpiMRgBNEtn3uc5/rLrnkkibKSrDZLlWoVgiWCCH0iDxi0b6VSvB5AwZRR+gRfI5ZYs93xF29MaPfSZJ74e0jkvTtI0p5Hp0v4affIm8Zj5974P9nGgQ2cUvMEuHyW54Rf/LVdYYQQgjDzoQEoJ+oWHmKiBcQOLYJO5YY6peZJABNMnzMMce0a3XN+ptVkj+WNQhB2FR/OxByPGrEFnFHZFnnpZKfEoFnOdF87MW5EERCvN6OIcRL9PE6lpg0gtcgiXorxkwPlbpm10jguk73R/5Wn8d6ZkMIIYRhZUIC0Cu2Dj/88O5jH/tYGxhA+O20007dlVde2e27777dzjvvPKFKdiYJQCFT4V/CyqALwgJCj/KD6CICV1lllW611VZrb8Qg9AzCqAmVLefHmzcvCHLv4yVUb7jhhiaIeMTcFwKPIOLtW3HFFdu5EUmDIIzkuWt3vULv1l2bvCduid4IwBBCCMNO3wLQfGrvfOc721sWPvOZz3RLLLFEd/rpp3dXX311t95663Vf/OIXmwA0GXC/EIBGbPKQzQRuv/327v3vf3932223zRloIczL80do7L777k38yWLevqnGfws7X3PNNU343Xnnnc0DRpQSfYSqN3To26dvYnklBw3T1dQ8iPJEH0nhX9c7GV7VEEIIYabTtwA8+eSTm0eJ6OHtMzr0oIMO6jbZZJNu7bXXbnPgmXJDp/t+IQANOpgp87XxNn3zm99sfQGJLN68mqdv66237jbffPM2UKQ3xDsZ3ifH4EGU3D7nwSPJA3vddde1fnCEj+32IUYJcmFefeHKA+m3lQYF1+JeEL5S5QGBTgRPlcc1hBBCWJio3zib1HnjoS8BqE/Vqaee2q288srdEUcc0e2zzz5NAO65557di170ojbq9fWvf30bRLDjjjuO/Gr8nHTSSS1syVM13ekVGryiplAxBYntyy+/fAurGl3L++SG8D65OfMjAHmvHMN/8G4RmjVtTA0wkYgdfQuFPGuEcIWo/T9R1Mdtn1G4Lmn0Ncq78v4lBBxCCGGQUOfRGhtuuOG4o3vjFoB2O/fcc5vQ2XXXXVt4k9gzKfAee+zRBKAQ8CGHHNJE4UQEIA9g9ZebCRBd+voZWEEYe/3YZptt1r3iFa9oI22FIvVnFNLmAZyM/mf6tQnt8vbxxBKdhKjjCnPynnobyXOe85w2WfOw4nkdLQBDCCGE8G/GXSvyLHm91g9+8IPu6KOPbvPHCQcTQIRNVbA+j1NTzngqvGpgxxprrNFtuummLcx64403Nq8cNc6byQtn34mKP14+r2M766yz2iTHH/3oR7uLLrqoCU/H9X7b1VdfvYXdeWO32WaboRZ/kNfl9Yv4CyGEEO7KuGtGFSq3oteECdWaT+7iiy9u4oSXq2LOPs9PH76ZJB5dM4En3GoqlQ022KAJZXmgrx1P5iKLLDLhqXF4+gzmOPHEE5voO+GEE1ofP2Fn4tIIXu7el73sZc3ruOqqq86YCZtDCCGEsPCY0DQweOlLX9q96U1vauFGr0MzIpjIEYbcf//9JzSJ8EyaBgbEcE02bLqR6o8HXj+eQd95N/B4r8kxDLAxUbP32fL8ObbbRNwRlsTm4osv3o7rf0IIIYQQ+mFCAlDfN+FgYU/ePocwHQrBQhjqxzcRZpoAfMtb3jLH41n98ApiWL7oC7j33nu3vJoXP/zhD1v/SsJP+ulPf9qO5xj6EJpuh/Az76KQbwghhBDCRJmwB3AqmGkC8A1veEObcoXgFR436APV/0xfQH31DIwRnh2NUC4vIuHM66d/pW3g2eNd5ekrj1/CuyGEEEKYDNI7fj4g8ozK5bnjAfSZ+NM30Px/PHm2j9bYhJ7Jsz/xiU+0/n1nnnlmE4FCvd4FvM4667R+fS95yUu6Lbfcsr2xI+IvhBBCCJNFPIATRLb9z//8T3fTTTe1gSBG3XrLBhFofr7vfve7bd5E64ceemh7+4a3pRjEYa5DcwTqL2h/c/Tx8Hk7x2KLLdY94QlPGPc8PiGEEEII/RIBOEGEewlA3r+abNl5WyfuzM9nYkYTNrsm8wDecccdTRSCp9BAGZNmS8TjTHkFXgghhBBmNhGAE8To3sMOO6yFboVnhX2JQMJOPz7fE4mEoClbjAiW1bx9+vSZwsXr2YyaNk1MCCGEEMKCIn0AJ0jvq8asw+hoo4IJP9sqEYW8e2uttVZ7g8rOO+/cXpsn1BvxF0IIIYQFTQTgfEIEltDj9TPooz4Tgr7X/++Vr3xlt9VWW7W5+4SDicIQQgghhIVBBOB8QuAResRfhX17ReC9733vNkDE6N5M2hxCCCGE6UAE4HxSQg9G9Fbi4avt1onC8giGEEIIISxMIgDng14xV0JwtCDs/RxCCCGEMB2IAJwPCLua6Jl3rzf5zshgo34JwRBCCCGE6UKmgZkg3trx5S9/uU0EjbHe+AEC0OhfkzybMPq+971vBoCEEEIIYaESATgBZJkpX7zJwyvf7rzzzu4Pf/jDXfr4EXk8gETfox71qO5xj3tcG/0bARhCCCGEhU1ikxOEiCvBZ6QvYWci6N5km+94AYnBCL8QQgghTAciACcAIadfH2Hnnb3e5uG1bhJvn1SffWef6gsYERhCCCGEhU0E4AQh5nj4KsT72Mc+tltkkUXukmzzXfX9y2CQEEIIIUwHokgmCE9eeQD17fO+3/L6VbLNd+UBjPcvhBBCCNOBCMAJ0hsG1t/PO33HSr5L+DeEEEII04kIwPmgRKCBHvNKEX8hhBBCmE5EAIYQQgghDBkRgCGEEEIIQ0YEYAghhBDCkBEBGEIIIYQwZEQAhhBCCCEMGRGAIYQQQghDRgRgCCGEEMKQEQEYQgghhDBkRACGEEIIIQwZEYAhhBBCCENG3wLwwgsv7F796ld3b33rW7s///nPI1u77phjjun222+/7tJLLx3ZEkIIIYQQpiN9CcCf//zn3WWXXdY94AEPaELvlFNOadtvvvnm7qyzzup+97vfdV/5yle6X//61217CCGEEEKYfvQlAO9zn/t022+/ffeOd7yje93rXtd96UtfatsJwZe85CXdxz/+8e4Xv/hFd/nll7ftE+F+97vfyFoIIYQQQpgK7jFrNiPrfXHcccd1V199dfeud72r23vvvZswXHPNNbt99923W3nllZsg7JcTTzyx+81vftM99KEPHdkSQgghhBDmxb/+9a/uYQ97WLfuuut2D3zgA0e2zpu+BeBnP/vZ7sgjj+wWXXTR7t3vfnf3+Mc/vttzzz27bbfdtltvvfW6Qw45pFtyySW7HXfcceQX4+dnP/tZCzPf4x73GNkSQgghhBDmBSkngvqUpzylRWvHQ98C8LbbbutuvPHG7o477uhuueWW7o1vfGN30EEHdVtvvXUTgP/93//dLb300hMSgCGEEEIIYerpqw8gF+NTn/rUbuONN+422mij7rrrrmsjgYVsS3Hy4t33vvdt6yGEEEIIYfrRlwD83ve+133ta19rIu+GG27o7n//+3cPetCDuqWWWqq7/fbbW59AYnCZZZYZ+UUIIYQQQphu9BUC/tWvftVG/5oCRmfDj3zkI03smfZl5513bqJwn3326Xbbbbf04wshhBBCmKb03Qfwj3/8Y/fXv/61u9e97tVEYPGHP/yh+/vf/9495CEP6e5973uPbA0hhBBCCNONCU8DE0IIIYQQZiZ9vwouhBBCCCHMbCIAQwghhBCGjAjAEEIIIYQhIwIwhBBCCGHIiAAMIYQQQhgyIgBDCCGEEIaMCMAQQgghhCEjAjCEEEIIYciIAAwhhBBCGDIiAEMIIYQQhowIwBBCCCGEISPvAu6DP/zhD53sevCDH9zd4x73aNv+8Y9/dL/61a+6e97znt2jH/3otg2/+c1vur/97W/dQx/60O7+979/989//rP7/e9/37bhgQ98YDtOmBh//etfu9/+9rfdve51r+5Rj3rUyNau+93vfte+e/jDH97d5z73advco1//+tfts+2F37sfj3jEI7p73/veI1tDv8jbv//9792DHvSgluB5t125eOQjH9m2QRn4y1/+0j3sYQ/r7nvf+/5Hueg9RuiPskVskzIh7/HHP/6x+9Of/tTszQMe8IC27V//+tdd9i3Kbj3kIQ+Zs2+YGPLXPZHv7D0877azN+xOMZbdKhvnc+++oT/YJrZodLlQn//5z39udfT97ne/tk25UAY8/3UfMNpuDQwEYJg3sx+KWT/5yU9mveIVr5i14YYbzpr9MLTtsw3lrCOPPHLW0ksvPWullVaadfHFF7ftd9xxx6znPe95s5ZddtlZBx988KzZxnfWtddeO2u55Zabtcwyy7Tthx9+eNs39M/sQjvrLW95S8vH5ZdfftZXv/rVtt192WqrrWY961nPmvXxj3+83Td8+tOfnrXEEku0ezfboLZtv/zlL2dtvPHGbd/Pfvazc/YN/XHbbbfN2mCDDdq9eOlLXzrrF7/4Rdvuniy++OKzVltttVk/+tGP2rbZFdqsHXbYoeX5Bz7wgZbnl112WSs/fi999KMfbfuG/phdyc365Cc/2fJwySWXbM//bLExa7YAmbX77ru3bYccckj7jPPPP3/WM5/5zFkrrrjirFtuuaVt++EPfzjnXr7qVa+aNVs4tu2hf2688cZZa6+9dsvLnXfeedZsUdG2f+ELX2i2aL311pv185//vG2bLURmbb311nPsFmaLjVmHHnpo+/3zn//8WTfffHPbHvqDzfnwhz88p1yUrVcO1Ofy/O1vf3srK+qPE088cdYznvGMWaeccsrIEe5qt973vve1fQeFhIDHgRbxe97znm72Q9Q98YlPbC0KXHHFFd2ZZ57Zza7sug996EPd+9///rbvu9/97u5FL3pRN9vItlbGqaee2loPz3nOc7pLL720+/a3v93NNsrtGKF/ZhvX1kKTv29+85u72SK8tbTPOuusbt111+1OOOGE7rrrrutmC/FuttBr+8+uHLttttmmO/7449sx3LPNNtusfXY/fvCDH7TtoT88/7OFRbsXvByf//zn27PuOZ8t5rp99tmnm2105+y7wgortH1uv/327tZbb23eqbXWWqu7/PLL232YbZTbvqE/fvazn3WzG6ntPsjv2RVZN1tgdN/61re6xz/+8e0zuyWPZ1eA3YUXXtjs1Rve8IZWXqAcveQlL+m+8Y1vNI9UlZXQP2effXb3rne9q90P+f6Vr3yleZG+853vdEcffXT3spe9rDvuuOPavmzROuusM8duzRbi7fdskt+rK2aLlLZv6A95ycbIx9niuvv0pz/dvKpf//rXu9lCvJULHtlrr722u+CCC7qrrrqq22KLLdpvijPOOGOO3VKnuEeDQgTgOOAeftvb3tYEw2zRPLL130aXS3/RRRftVlllleZKts1DMru10EJfSy+9dCv4jACDzABfc801c1zOoX+e/exnd3vvvfec/BWqUmFdcskl3eqrr94tt9xyrVDfcsst3Q033NDu2WqrrdY99alPbZWbe3bZZZc14bH88st3d955Z9s39M8rX/nKbu211273YvHFF28NoJtuuqmFUdZff/1WDtwXeX7xxRd3K6+8cmtIaRhdf/31LRRGuLgfDGvKxcQg8l772te2+yDPhQyFtzzvSy21VCsnQmBXXnll9+Mf/7j76U9/2m244YbtXsh7olCjylJ5YsukMDFe9apXdauuumq7H0972tNaONfzrnHE7igryoP8JtLZp7JbGqxsktCx36+00kqtq4v7GfqDzX/Na17T8lE58EzrDqFcsP3LLLNMs1nKgPJw2GGHtS5b1cUL9nUPlBXCkFgcFCIAx4n+AB6KXgH42Mc+thXsL3/5y631ppIj9BZbbLHutNNO604++eTuu9/9bivk9sWBBx7Y7bTTTq31Z//QP/pwVAFVmel7qdASgfIaj3nMY9q9IUR4B6HwM6oKMSNQ+9Z9DP2jYoJyQdQ9+clPbpWcBP359JuR59LoPLe07wEHHNDKxUknnXSXMhbGh/JQfZsI6sp33o7eMiFviQx5bzuxV/ttvfXWzYvOa/uEJzyhRTHCxKhyIY/ZGk4Cy7IzxLZU5aLqgrJbBP2PfvSjVoecfvrp7d5GAPZPb7kgqj3r6oDeuoINkv/umTS6XmbXestQRQAHgQjAPhhdMWnhMZpHHHFEc+sTiTqI8k4JcQmxEIBCY1qBwgDf/OY3275CkjqmhomjoMrPTTbZpOWxQlr3qAq9z7WtjEF9Hr1vmDi8d/KfJ8N9qbzFWHnuXhB+PCFCYO7j4Ycf3h111FHNYx4mzjnnnNO8TLyAvffCfZDvo++FSs+9s+TNve2225pnVoUZ5g/dhDROeb7HWy4IjE033bRbccUVWx3yhS98od3L3t+G/jnvvPO69dZbrzkCxioX86KffWcSqfnmk1122aU799xzWz8/YRWGlNtZfwHb9e3QD6EXYvBxj3tcKrr5RJ8lBfMFL3hB+6wCU0ChhaegCinWNi1rrW0i3Tb7o/YNE4NQ+NjHPtbug+e6xAR4Xz3n8rz3/tg2ukIjBnlzUy4mDg/qzTff3PoxQX5XnvNkuB8ESd0LFaHttunnzCNIkOs6wYaFiaMP37HHHtsaqEKQnve6F0SefK9y0WuLKmKhf6Y6RP9yXVTSPWLi6M8qWrT55pu3z6NtkXIwN3rvj33Zt0Hh3zkQxoVCzFCONST/c5/7XGs1C50UHhYdS5dccsnue9/73pwKTwhGf8D0sZkYDKROvEJde+2115yCzJVf6/p1LLLIIm1bTWchzGWaBZ+58kv0Mcb2C/3jOSY69IFdc8012zZTLQizQIUm1CXPe+8PMe4eGAhS6D+rbNg/9M/VV1/dBtPsuuuuc6Y7EkrsrbwIdPkujz3/trlXohff//73W+MVohsESpgYbJNywQGgbEDjpqaDYYuEI9Un7kev3XKPetG9SNmpMhXGjzpXv3v99vTLrCmm5HHlOadAb567R711s++qrhC1GH1/ZjKZB3CcfOYzn2mjgQgPLbqddtqpdQoVtlIJ6rirH9MGG2zQWtD21QJkULXkdIT/4he/2Aoxg0wU7rzzziNHD/2gMG+55ZZtZBZvqsJpVJ0+Nh/5yEeaoHvGM57ROsVbF0YRklfZHXzwwS20Ihygdc7g1qCSzD/XP0YnGu27/fbbt7zmxdthhx3aaDuGl4jQp8zobOLkwx/+cBPw+kS9+tWvbqFfXSMIEgbZPf2v//qvkaOH8UI8826wL8KNnuutttqqVVZslM8qtkMPPbSJQx5bgxBUfrvttlu30UYbNU+T0ZJmOnDfbHes0D9svtHY2223XWvsGICw7bbbtu4/ukvI3/333791mTDIwAjVslv77bdfE4juh/0I8ze96U2tbIT+EH0zeFM5MOhDHuvbSnwrFz5rsB500EGt8ck+ma2AI0d54mDQsHIveAltV68MyryM93rjbEbWwzwwgksn3Oc+97lNwBlVx8OkklPAPVSMKPShqdb0vvvu2x4wDww3vsrPdDAvf/nL276hf9wH4ZDqy2GdGFfAdZyG+/GkJz2ptbBViu6H7ys0ppJjHHhtX/ziF9/FcxvGDwGhHDCkBBwvxxprrNG8Gp53Uy3IX9/JY40lZcCUPMQiMWK/6j9o39A/BB7YGveiGplEAxGh8aNfmVGPvuNREipmowh25UDDSDhf+dKQNYo7TAx5TnS4L559ZcTzrR7g9VZ/EIRgp+Q7Xwy7ZSCV+2VKEr/lKCgvYugPHjt5WOWCp5sYVxfog+9Z50wwct5nea4csFVEotG/6gp2y+/Zrac//ekjR5/5xAMYQgghhDBk/DsIHkIIIYQQhoYIwBBCCCGEISMCMIQQQghhyIgADCGEEEIYMiIAQwghhBCGjAjAEEIIIYQhIwIwhBBCCGHIiAAMIYQQQhgyIgBDCCGEEIaMCMAQQgghhCEjAjCEEEIIYciIAAwhhBBCGDIiAEMIIYQQhowIwBBCCCGEISMCMIQQQghhyIgADCGEEEIYMiIAQwghhBCGjAjAEEIIIYQhIwIwhBBCCGHIiAAMIYQQQhgyIgBDCCGEEIaMCMAQQgghhCEjAjCEEEIIYci4x6zZjKyHMF/84Q9/6B784AePfArzwz/+8Y/uxz/+8cin/+Qe97hH989//rN7zGMe0z3oQQ8a2RpCCCGMjwjAMCl8//vf77761a92G2ywQfeMZzxjZGuYKD//+c+7d7zjHd2jH/3okS135V73uld34403drvssku32mqrjWwNUwGhLb9DCGGQSAg4zDc/+clPui996Uvd5Zdf3n3qU5/qvve97418EyYK0fGrX/2qe+ADH9gttthi3ZOf/OQ56WlPe1r38Ic/vPvBD37Q/fGPfxz5RZgqeGI902krhxAGiQjAMF/89Kc/7T772c92d955Z/eEJzyhLT/3uc91t95668geYSII8f7pT3/q7rjjjrb+0Ic+tHvIQx7Slve+972bx1XIPZ6pqeXvf/97d/3113enn35699e//nVk6+Dzu9/9rj1/vfzsZz9rXRMGHdfo+kH0K2ewzfMQwqAQARgmDPFH7PEAEn/3uc99Wh9AIvDLX/5yROB8QPTd8573bHl83XXXdb/+9a9bRfT73/++u+GGG7rbb7894m8BoNL3HHumCaBhgQji9SwRqEvCj370o6Hxgipv7Jp8uO2221qDi0f+X//618geIcx8IgDDhBB6POWUU1ql8PjHP76JP5XDfe973xae/OUvf9nCwirOhQWjPV4R+sMf/rD7yle+MvLp7rnsssu6b3zjGyOfJh+hX8hTeagy/s1vftOEn0Qg+u7+979/228mc9VVV7VKdrqhstfPEho23/rWt9r6ZOI/vvvd785zwM/C4JGPfGQbXKSbgUaIcv6UpzyllfPJhpdb95HpAg/7Yx/72NbYUvYIQfZskUUW6e53v/uN7LVgYW95opV9duruPLHshX2vvfba7txzzx3ZGsJdySCQME+IjksvvbR5QnikCgbxkksuaZUEwecx4i0QJiNOGCz7rLzyyt3SSy/9H56D+qw/27LLLtuMbi8XXHBB98EPfnDkU9cGlvzP//zPfxhgAyWuuOKKkU9dM9Kvfe1rW185x/jzn//cbbjhhu07lSzhtuWWW7bPvbiWo446qvv4xz8+sqXrvv71r3cf+tCHRj517b933333bvXVV2/bVRAHHXTQyLcT46abbmoCSJ+/3vyVf1/72teaoJY3/ls+//a3v22eQPmnUn7e857XPetZz/oPz4TPxOGKK67YKu6FCQ+m+zQ6hPriF7+422abbbpjjz22e9KTntSupTjvvPPa/Rhd0cmPffbZp1tllVVGtkwdhA9Ptv/8xS9+0Z71PfbYY+Tb8aPsvO1tb7tL39hFF12023///bvHPe5xrSHFg66sFFdffXV3xBFHtGesF+ey4447dptsssnIlqmFgNA4es5zntNGnM8P559/fvfhD3+4rbt/BxxwQFv/zne+033zm9/sXvWqV7XPIDz/93//9z8akMrCC17wgu4Vr3jFyJapQ5m88sor23Ow1lprte4Xk4HBcsrsU5/61JEtd4XNOvjgg5u9Ymv23XffZofPOuusNijsM5/5TLM/1fg7/vjju5NPPrmVeXbi1a9+dStrwtWO4R56/kIYTQRgmCennnpqd8YZZzRj0itQhB8ZGYZJxcgzwGDaxoDVdhWbfcd6zGwjahj+XpGiQrzwwgubiCtKXL785S+/y3bnp6ULBpDB3nnnnbs11liju/jii9u5rL/++u17QutTn/pU9973vrd97uXb3/529+lPf7p7//vfP7Kla96fs88+e+RT1wywymfPPffsjjnmmFY5M7YTxe8Zcv9DNEuwJHxccwlAeej65Jl8loTlVEoqhdFCyX6Os8IKK3R77bXXnGMvDAhVfeicv+fINWHVVVftlltuue6kk07qHvWoR3XrrLNO2w5hboLBdfZCwG+33XbdpptuOrJlYsg7wtTxx8ob+U18uEcqVSHBv/zlL60xwxvoWsbC9kc84hHd8ssvPydEf8stt7TnZOONN26f/SeP16677tqtueaaTRAQgu5VQQCdeeaZ7T97US4WX3zx7i1vecvIlonh+t0Tz1hvue7FdSvHQp8Euv1G34/R+J730P3RZ7XghfrEJz7R7jlch2fB9WnQ7LTTTi0VGo/yxf/3wgumcaTRMFGUDd5c4mhu1257CX/XpIxZzu2+F47td8997nPbMz0WBJ1noRqmvcgTwld5Zhs1GjwjbJg882ydeOKJ3bve9a52f9y/D3zgA93f/va39p3/dlzPrvPlvVSW3vCGN4z8Qwj/RwRgmCdED5GF0cZSxclQM8jEHuPIoPN4eKye/vSnt1Dm3IxmGbnddtutVTCw72te85pWyWv99sJjQtjxGs2NL37xiy0k7bejBaCW8AknnDBm5TmWAByNlrfrIzAnQwDKt49+9KOtUitRBPmqIiA6bJfvtlVRlUfyTt6rmISrxhKAtvEqERolcoTEnbNKl3jkZS1Bzft53HHHteMT9IcddljLRxXJfvvt1zw19lX5qOR5ZHlO/ZeRyu95z3vmOm2NayE6llhiiSbEVVyO+8Y3vrF977e9AmhuEOQEmAp2fpD3zse1jiUACTBeOP9lX/eDEOK522ijjeb6TMuLBzzgAU3Q1XGFeOXrm970pvYZBAwP0Nprrz2mAJwbF110UfPI8Z7OD67p5ptvbtc1NxGkYaJ8asTxVHvO7s4LJl9cv/tczzRx8slPfrJd7/Of//y2jWf17W9/e/Pmuh7H7hWAc8M58w57pucH/6n8jnXvIX+IP/fFvvLIs90rasfC/Sf8PSfyYTTyYvPNN28C2bWPRgOWzeUd9Z/y/X3ve1/3ute9rjVYHvawh91FAIoIaKBvttlmc7qNgEcVhGAEYJgbEYBhnhBQOr+P9ZgwnipyLXuVXBkkhk+o7JnPfGbbb26PmO32FVoqb4ltb37zm9u23pCQ/nxvfetbu5e97GUtHDMavyN4VLQqn4kIQAKPsR1Nnb/wFWGk8iEAVRJ77713+26iEHG8HKMrYWKDkYe8qfwB4aQi4cFQiRBDo/O4PvMKSOBNULGofFRs8tR1E3oqrEMPPbTdj2c/+9ntfISP3QeVj9D6Ukst1e6vbUL3hx9+eNvHdzxzngFC7olPfGL7v178D0/ttttu24SmZ+q//uu/mhjUxYBHZDzzGer/5P/KkzRVEFqEBq+zJD/kuWf6la98ZV994VTinhdhcDiOz7yJnuV+BKB+p547nuipxDNJPChLnj1iSV89z0C/aBB6LoiQEoVEiS4OGhbyh2AZT1hXY0nyHE0lrpX4J4CdqwYPsayczA9mTCCsPQM889XwLXhKNUy233779pkdeP3rX98av/JptACUtxro6623Xmv4asAKCbtfBDYbrSETARjGYuymXwgjEATCszw8o5PtSy65ZLfVVls1Q8kYgUhTQfl+br+VeARUfL3ihsEiHlVy+h1VEjbheRtd8TOiRIh9fCekyjBOBAKSoC1vGrGhUq5zePe7332Xip830P5z8waNB2EinlJ50ZtqMu06tmUleSQsTAiqQCovexOBJpX4A28jjyABQwTKZ7+vcJp7yJPgO4KM0DLK238Smrbrf+YYBKbfuve267PEQyJsOxaeI0IKrtc9UxEKdxFb1Z/Jf8nTSvKYiK91g0X0ybI+VfCO8li6N7xf8lMeuyeerakcDSxf63orybd61pQxItw+o0X/ZOJ+eH6qbPJ88f66P/3iWfUsETYFAcQrKFT+whe+8C7HrWut5LM8sE7YuH7rEzmX8eC4GjnKg7LmvvNQ2jY//6mRdM0117RGmPL1sY99rOVDL/pDa7jazzXyeGsYOZe5/XfZAxDGGrHKtns2OjIQQi8RgGG+IbwMrOAl0Y9riy22GPlmYhASwpTERyXeN//TGyplPFUIPFhEjKT1y4j2ixA2jw9jq4UNXgD9aerYPBbleSBoGFohPKHRyUaFR+Ax+q7T595kO8M/ugKZGyoCFXDvQAvog6dCdTyJV9B+PA8EBq+dfXpFtcqIMHBM+Q/fG5jAozn6nIgVok1/JOE0/8fDRFTJQyEx+0BeOkf3gWeT8DZgwDrRqP8mb8hLX/rSKROB7i2vsYaMPqeSdR6qF73oRU3MTDbuJXjdtt5663b9lYgk125dQ4hHSBjavlMFATi6IcUjNtpTPR7kJ88VD6hnS59Q/SINcuF113goMes50NDrvX7XLg+suwcGNPDw8x5PBa7R9dc9qW4Ytk3k+on2c845p/vIRz7S7JowOs8vT/shhxzS7IwyjYp8yBNePSFvz57/HkvwO0flQDRA3hJ9ygpb6f7NTTSGgAjAMN8QA/r2MFSMV7VG+0WLl4dHIhYYSl6YaokTI76rio9BtI/KgeiTtNZ7RWIv9p/bual4VCq8frxg8J9CYHVsI/eqD1BVVPoc8oJONs5TZ3/esrklwqzXwzcvVAQq4tF9uFTqtrtWwkwFRYDtsMMOczxhJc7uDl4S/ZAI117kKU8tD6TGAcFODBByQoq8xCUa5SXBLywqb4XY9VP8/Oc/3yp/AxeEyYiH0QJlsvA8axDIG8veZFu/z7fnrtfL7fnkSe6t0GtdHh599NHt+nl/JKLTK/+sCwEb3U442Xcm4Nni5fPMelWkZ0u50lhcZpllupVWWqnlKwgdnvbTTjttzvXzPiuT1g2EkAdGvU4kHL0w0OVEiFvYVsQDhCShv9NOO7VZC3jBQcQpj//93//dwuaum2DWIJOPo/FMEpA888qtASNCvyGMh/QBDJOGR2ksIzVeTLuiT1CvgCBAGLleUafC0I9MnxwiwlQsQnWjYXS1jnv7AOojQ4z0otXNyPIe9o4QFk4maBjp0aiktdqNCJ4K5KXrmxf2ISTG45XgrTPYRmiIV60gsnQ8N0DBtRNgPAiOSXgbkENUj75OQlx/S/34CDgQLTwWGgG996tCeip3HkDeioI3Td9EFWPveekC4FnyTBAJ+hXqvynk3NvZfSYgT1TKNWDIfSVgdJOYWx9AHlJeUwgVuhcGRrnf8rtXUM4UPK+uS1/R8qbZxhPMQ9iL54WwgQaExh8h6Lp1PfD7mQIvuUYDYTcWGl6+U2b0tzX6G54T1ylvTD8lMuI4X/jCF+b0AUSFyOUl2+k3ws3yV2PZ4JHeAUghFBGAYdrAeI0OH/IWCS/z8hUMG+Nn3//3//5fC4eVCIFKkpBR0fBilQAkPHjtqmItXvKSl7SWM4HRKwBNr6Dy5oHpxX/xRjDsVanPBHgaeF54kwreCZ5NHhqDOnhye0PoPE0qE96I6v+oEuepIB4NiNFBnsAk3olH+TkW+s6Z2880PwUPpnssHNZbqeu0vu666zbvo/MjAHWgNwLc/80k5JXnjvgtdNj3rPHy6lowWgAKF2pkoML9EnNt5PT8drNYGHhGNMKcv7yoqodnlwerd9oUArlEi/0k5V6Z14ghiAYR18cOGvBh8Ib7rK8sm6V7Ba+nhmqvAESFkGubaYaIZSOZNdZ6y3wIRQRgmNYQB0IlBMJYaDELn/Q+xrwlRgyrMIROSgDOi7GmgVExG5E8uh9NTatCAM7vKOAFiT5T8kWlIo94WIhkFa3QtopZBVKjgHlaeV+JXAMA9MXSn0nosUYBC0MTL4Sy0Znu11ijgFVqBx54YPPyCQEWxJHKjDespgiBfW3z/0Ze8n4I/RLqFYYfBIgi036MFoBzQz9VjRr9Jmca7p8QvoZIbz/KI488sj2LnkPP3bwgiojIuTUyphueb6Pc764vnvJoiqu6fn0k9YdVBtg49kkXFWLZrAujBaBnyG9H9/ENYV6kD2CY1jCcvSHh0TCEQr1GzlUSUiNWxtt3bW7wLOpv1HtsSUjYOd2dUZ9u8KIKl6tAeJ/0JSP6hJhUHkJxBIbvCGFzBuqbRTQKI9kuPMVDSJTpT1hhcwJQyHws8QfhLPnlP3oRfhf+0uezFwKbSOBRdEyVnZGTgyT+JgKvjryZiQhHOv/Rg2hMraOhRgzfHTPt+s0nqSwpI/NKylGvPaloCK+4AXDEs/6TxP/cGPayEfonHsAwreEt0Pep9zVZ42X0q+DmxVivgpsXxA4P4Py+Cm6Y+NSnPtVEQG9fKJU+8SnMb7qVgpdVn6jeuSSr4jc6Ur/AQcD1G/Aw+lVwc4Onx3M3r8nQpyvCvhof6O3zp2uAax/rFY2j8dpHXkCNsEGGN13XC55O/f6EfzXOhMl1y2B/ertMmAxaGt3AgjI0HhsYho97vZELIIRpilawQQijO4mPB61oXirhw7vDvoSJyXnHg4pb2K5XtIR5I1wsn7/0pS+1kJ/E60FE8wT2wtNhLjTT0tS+lVRoQtCDgjxQsY/nGZd/9puKqWimGmWRR5eHnke57ieR0xv+nxfySjmdm6d5UHCdvN4aBho+GkAaSsqJbhHsVIWLC9EKXTp6y4pk0JSplGaq5zhMHfEAhhBCCCEMGekDGEIIIYQwZEQAhhBCCCEMGRGAIYQQQghDRgRgCCGEEMKQEQEYQgghhDBkRACGEEIIIQwZEYAhhBBCCENGBGAIIYQQwpARARhCCCGEMGREAIYQQgghDBVd9/8Ba7pwVzIn7XAAAAAASUVORK5CYII=)
▶ 향후 입학자원 규모 전망
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)
▶ 지방대학 육성 5대 중점 과제
➀ 지방대학 특성화 및 구조조정
대학의 양적 규모를 줄이고 질을 높이기 위해 대학의 자체적인 구조개혁을 통해 입학정원을 감축시키는 것이다. 새로운 대학 평가 체제를 도입하여 모든 대학을 주기적으로 평가하며 5등급으로 분류한다. 등급별로 분류된 대학들은 차등적으로 입학정원 감축, 정부재정 지원 사업 참여 제한, 국가장학금 미지급, 학자금 대출 제한, 자발적 퇴출 유도 등의 조치가 취해진다. 또한 2회 연속으로 매우미흡 등급을 받는 대학은 퇴출되게 된다.
② 지방대학에 대한 재정지원 확대
대학재정 지원사업의 지방대 예산을 확대한다. BK21 플러스 사업 지방대학 지원 비중은 2012년 24%에서 2013년 35%로 확대되었고, 학술연구 지원 사업 또한 2013년 44%에서 2017년 50%로 대폭 확대될 예정이다.
③ 우수인재 유치를 위한 제도 개선
지역인재 전형, 지역인재 채용목표제, 지역인재 채용할당제를 확대하고 개선하여 대학원, 공무원, 공공기관에서 지역소재 고교(대학)졸업자 중 일정비율을 선발할 수 있도록 하는 법적근거를 마련한다.
④ 지방대학의 발전적 기능 전환
지방대학과 지역사회가 연계되어 서로의 발전을 도모할 수 있도록 한다. 직업교육 프로그램, 인문·예술 강좌, 노인층 사회적응 프로그램 등 지역주민을 위한 평생교육 프로그램을 확대 개설한다. 또한 지역사회의 문화·체육 공간으로 활용할 수 있도록 복합적 시설을 제공한다.
⑤ 지방대학 육성 인프라 구축 제시
지방대 및 지역인재 육성을 위한 핵심제도를 담은 ‘지방대학 및 지역균형인재 육성에 관한 법률’의 제정으로 5년 단위의 계속적이고 안정적인 제도적 추진기반을 마련한다.
□ 찬성입장
● 대규모화 경쟁으로 인해 ‘백화점식’으로 생겨났던 신설학과들이 정리되고 경쟁력 있는 학과들에 지원이 집중되면서 장기적으로 대학 특성화에 기여할 것이다.
● 우후죽순으로 생겨난 대학이 많기 때문에 고등교육의 질 향상과 효과적인 재정지원을 위해서 대학 구조개혁은 불가피하다.
● 5년 단위의 장기적인 사업이므로 점진적으로 개선해간다면 특성화에 기여할 수 있다.
● 대학의 자율적인 구조조정은 한계가 있다. 대학은 몸집을 부풀리려는 속성을 가지고 있기 때문에 어떠한 규제 없이는 획기적인 변화가 일어나기 어렵기 때문이다.
● 수도권 대학으로 입학자원이 몰리고 있는 상황에서 지방대학이 살아남기 위해서는 특성화를 통해 비교우위가 있는 분야를 확보하는 것이 중요하다.
□ 반대입장
● 대학 평가에 정원감축 규모를 반영하여 감축률이 높을수록 가산점을 부여하는 방식은 지역과 대학의 특색에 맞춘 구조개혁을 유도할 수 없다. 인문학이나 기초학문, 예체능과 같은 취업률이 낮은 학과에 정원감축·폐지 대상이 대부분 집중되면서 교육이 위축될 수 있다.
● 대학 구조조정은 자율적으로 진행되어 온 구조조정을 도리어 지연시키고, 일부 부실 대학을 온존시키거나 지방 대학의 황폐화를 초래하는 등, 대학 경쟁력을 도리어 약화시킬 것이다.
● 대학등급제는 문제시되고 있는 서·연·고 중심의 대학 서열화를 가속시키는 것이며, 대학에 대한 차별을 강화시키고 양극화를 초래하는 것이다.
● 교육의 질을 높이려 제정한 정책이 정원감축 여부에 초점을 맞춘 차등적 행정, 재정 지원 사업으로 자리 잡으면서 사실상 대학규제 정책이 되었다.
● 정원이 미달된 학과는 대학이 자율적으로 폐지할 수 있도록 정부의 규제가 완화되어야한다. 강제적인 제한과 규제는 부작용을 불러오기 때문에 학생들이 찾지 않는 학과는 자연스럽게 폐지될 수 있도록 해야 하며 취업률을 잣대로 폐지대상을 선정해서는 안 된다.
□ 관련이슈
▶ 신라대 정부 지원 특성화사업 유치
신라대가 올해부터 새롭게 추진되는 교육부, 한국연구재단 주관 지방대학특성화사업과 관련, 2개 사업단이 선정됐다. 이번에 선정된 것은 국가지원 분야의 <글로컬 일자리 창출을 위한 창의ㆍ융합형 교육인재 양성사업단>과 대학자율 분야의 <동남권 현장밀착형 바이오헬스산업 전문인력 양성사업단> 등 2개 사업단이다.
대학의 창조경제 견인 및 창의적 인재양성을 위해 시행된 금번 사업은 대학 교육의 질적 수준을 가늠하는 잣대로 인식되면서 전국 각 대학의 비상한 관심속에서 치열한 경쟁양상을 보였다. 이번 사업은 지난 2월 시행계획 발표 후 4월말까지 두달간의 공모기간에 전국 195개 4년제 대학 중 모두 160개 대학에서 989개 사업단이 신청서를 냈다.
신라대학은 모두 7개 사업단이 응모해 이중 5개가 1단계 평가를 통과한 후 지난 6월 2단계 발표평가를 거쳐 2개 사업단이 최종으로 뽑혔다.
이들 사업단은 부산권 유일의 사범대학을 운영하면서 우수한 교육인재를 배출해오고, HACCP 교육원과 / 건강기능식품 GMP 등 관련 인프라를 토대로 바이오헬스 관련 정부지원사업을 활발하게 추진해온 신라대의 주요 경쟁력 분야들이 한 단계 도약할 수 있는 디딤돌이 될 것으로 보인다.
▶ 정원 줄이지 않은 연세대·고려대 특성화사업 모두 탈락
대학특성화 사업 신청 시 정원감축을 전혀 하지 않기로 한 대학들 상당수가 정부의 '수도권-지방대 특성화 사업(CK 사업)' 선정에 대거 떨어진 것으로 나타났다.
앞서 대학특성화 신청 시 건국대·고려대·동국대·서울대·연세대·이화여대·한국외국어대 등 수도권 7곳과 송원대·영동대·을지대·전주교대·포항공대·한국교원대 6곳등 13곳이 정원 감축 계획을 제출하지 않았다. 이들 대학들은 대부분 정원감축을 하지 않더라도 특성화사업에 선정될 가능성이 높거나 정원감축으로 인한 재정지원 보다는 등록금 수입 감소 등 불이익이 크다고 판단해 정원 감축을 하지 않았다.
하지만 대학특성화 사업 최종 선정 결과 이들 대학들이 제출한 사업단이 대거 탈락한 것으로 나타났다.
특히 고려대는 9개 사업단을 신청했으나 모두 탈락했다. 연세대도 1개 사업단을, 포항공대도 2개 사업단을 신청했지만 모두 탈락했다. 또 서울대도 8개 사업단을 신청했지만 2개만 선정돼 13억원을 지원받는다. 건국대도 9개 중 1개, 동국대 9개 중 1개, 이화여대도 9개 사업 중 1개, 한국외대도 8개 사업단 중 1개로 대부분이 탈락했다.
이처럼 국내 유명 대학들이 특성화 사업에 대거 탈락한 것은 대학재정지원 사업의 경우 1점 차이로도 당락이 결정되는 상황에서 정원감축에 따라 최대 5점의 가산점을 주고 있기 때문인 것으로 분석된다.
교육부는 대학특성화사업 선정 시 정원감축의 규모 등에 따라 가산점을 최대 5점 차등 부여하고 있다. 2014학년도 입학정원 대비 2015~2017학년도 입학정원을 10% 이상 감축할 경우 5점, 7% 이상∼10% 미만은 4점, 3.5%이상∼7% 미만은 3점의 가산점을 준다.
《 입학정원 감축 규모에 따른 가산점 기준 》
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□ 외국 사례
▶ 미국
미국은 대학에 대한 연방 정부의 개입이 제한적이다. 즉 대학에 대한 통제권이 있음에도 불구하고 기본적인 대학의 자율성을 보장해왔다. 따라서 미국의 대학들은 비교적 독립적인 운영을 바탕으로 자체적인 생존 전략을 수립하여 개별성과 전문성을 키워 현재의 위치에 이른 것이다.
미국 대학이 특성화를 기반으로 하여 성장할 수 있었던 요인 중의 하나는 대학들이 설립 초기부터 저마다 각자의 설립이념과 사명을 갖고 이것에 충실한 대학운영을 하고 있기 때문에 다른 대학들과 구분될 수 있는 특징이 있다는 점이다. 예를 들면, 교양교육중심대학(Liberal Arts Colleges)들은 대학의 규모도 작으며, 교육과정도 주로 인문학에 초점을 맞추고 있으면서 우수한 학생들을 확보하여 교육시키고, 훌륭한 인재로 졸업시키고 있다. 햄프셔 대학에는 학과·학년·학점이 없으며 전공 계획을 학생들이 주도적으로 설계하게 하였다. 또한 세인트존스 대학은 4년의 교육과정이 고전 100권을 읽고 토론하는 것으로 이루어져 있다. 이들은 몸집을 부풀리지 않으면서도 우수한 대학들에 뒤지지 않는 경쟁력을 보여주고 있다.
또한 지역사회의 여건이나 특성을 고려하여 이를 적극적으로 활용하였다. 지역 사회의 특성을 고려한 지역 연계 프로그램의 전문화를 바탕으로 특성화를 이룬 전통적인 경우는 농업 및 축산업과 관련된 분야에서 특성화를 이루어온 중서부 지역 대학들을 들 수 있다.
미국의 대학특성화는 정부의 정책적 지원에 따라 이루어진 것이 아니라 각 대학 스스로의 발전 전략에 따라 이루어져 왔다. 많은 대학들은 설립이념과 사명을 바탕으로 개별성과 전문성을 강화해 나가는 과정에서 스스로 특성화를 이루어 왔으며, 이 과정에서 자연스럽게 대학 간 기능과 역할 분화가 발생하기도 하였다. 또한, 대학 자체의 발전 노력은 대학구성원의 의지에 따라 중점 분야에 집중 투자를 하거나 지역사회와의 밀접한 연계를 통하여 특성화를 이루어 왔음을 알 수 있다.
▶ 독일
독일 대학의 졸업학위는 우리나라나 미국에서 학사학위 이후 과정인 석사(Diplom 혹은 Magister)학위이고, 학사과정이 없다. 석사학위가 전제가 되는 박사학위 과정(Promo-tion)과 박사학위 이후 과정으로 아주 까다로운 연구와 시험이 요구되는 ‘대학교수 자격시험(Habilitation)과정’이 있다. 이 과정은 원칙적으로 6년 과정이다.
독일에서는 기본적으로 김나지움(Gymnasium)이라는 고등학교 과정을 졸업하고 아비투어(Abitur)라는 졸업시험을 마치면 원칙적으로 본인이 원하는 학교나 학과를 자유롭게 선택할 수 있는 권리를 갖는다. 독일의 대학에 입학하기 전까지 보통 13년을 공부하는데 이는 우리 나라나 미국의 12년보다 1년이 길다. 따라서 대학에서 교양과정이라는 수업은 없고 입학과 더불어 예외 없이 세분화된 전공에 대한 전격적인 수업이 이루어진다. 또 어떤 한 전공을 택하여 공부하면서 하나나 두 개의 부전공을 택하게 한다. 연구라는 것은 언제나 특화적이기에 석사과정은 시사적인 연구 분야와 관련되도록 요구하고 있다. 그러기에 연구방향 소개에만 머무르는 학사과정이 없고 이론의 실천과 적용 그리고 장래 직업교육과 관련된 교육이 강조되는 것이다. 그러나 최근에는 초 특화된 연구능력 배양을 강조하는 경향과, 전공의 일반적이고 전반적인 기본지식 교육을 강조하는 경향 사이에 이 두 경향의 조화라는 제3의 시도가 이루어지는 중이다.
약 260개에 달하는 독일 대학들은 모두 국립대학으로서 국가로부터 재정지원을 받는다. 또한 교수들은 종신 공무원으로 정년 때까지 그 임기를 보장받으며, 학생들은 등록금이 없다. 이것은 졸업 후 다른 전공을 다시 공부하는 것에도 적용된다. 여기에는 어느 누구도 재정적인 이유로 자신의 학문적 재능이나 관심이 방해받아서는 안 된다는 정신이 숨어있다. 대학이 국립대학이기에 대학의 행정은 원칙적으로 국가의 통제 하에 있다는 것인데, 실제로 중앙정부는 기본 틀의 제시에 머무르고, 주정부가 대학정책에 상당한 자율권을 행사하고 있다. 또 주정부는 자치법과 대학법규가 허용하는 한 대학 나름의 자율권을 부여한다. 그러나 중앙정부와 지방정부가 정파를 달리하는 경우가 많아서 전 독일의 일치된 교육정책의 설립이 쉽지 않고 독일 대학의 개혁에 장애가 되고 있다.
▶ 중국
21세기에 대비해 100개 대학을 집중 지원한다는 뜻에서 이름이 붙여진 ‘211 공정’에 따라 지난 1996년부터 5년간 대학 구조개혁을 추진했다. 또 지난 98년 5 월 베이징대 100주년 기념행사에서 주창된 ‘985공정’에 따라 칭화대, 베이징대 등 10개 최우수 대학을 집중 육성하고 있다. 강력한 정부 주도를 특징으로 하는 ‘중국식 구조조정’으로 지난 92년부터 2002년까지 733개 대학을 288개 대학으로 합병하는 대수술이 감행됐고, 중복 투자와 학과 세분화를 막아 종합대학화를 이뤄냈다.
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