Best Features of the Sports and Analytics App

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Best Features of the Sports and Analytics App

Discover how the sports and analytics app combines data, live tracking, and smart tools to take the user experience to a new level.

How can you follow sports? It's now easier for new users to follow sports by using one app that has all the info, analysis tools, and real-time data they need. With modern apps, users can combine watching games with analysis apps. Modern apps that combine digital intelligence with fast updates have made it possible for audiences to enjoy and accurately analyze sports.

Digital intelligence applications allow users to determine their position in the analysis, improve predictions, compare, and measure the impact of every moment in the game. The value of these platforms or applications increases in providing sports and betting services, thus increasing the value of sports, topics, and betting services in one place.  In this context, many followers rely on major platforms, and this is clearly evident when users search for rich content within an integrated environment provided by Melbet (Arabic: ميل بيت) amid fierce competition. This value saves users from "moving from place to place" and provides them with a "powerful interactive experience."

The value of these platforms is multiplied by their ability to provide multiple layers of analysis that help users compare team statistics and understand the sequence and progression of "performance" in matches.

Data and Sports Platform: Why Does It Matter Now?

The organization of digital content, particularly in the field of sports, has opened new doors for users, as everyone now has access to analytical tools that were previously exclusive to professionals. In light of this transformation, users have been satisfied with applications that offer them a range of features, such as ease of use, speed of updates, and rich content. Based on this aspect, applications have been developed that provide integrated visuals and information from the Dishboard, predictions based on the G-algorithm, and interactive tools.

There are goals based on creating an integrated platform for a user interface that provides analysis, live viewing, and advanced statistics.  In this context, the user seeks an experience full of accuracy within a system that contains the MelBet game (Arabic: لعبة MelBet) and offers a combination of analysis and entertainment within an integrated sports framework. The data goes beyond numbers to include alert systems, personalized offers, recommendation tools, and number analysis, helping users continuously monitor events with an exclusive monitor. User distraction is reduced through interactive tools that help users make decisions, and information is presented in light-up designs for data.

The sports app development department analyzes live content, speeds up the timing of sporting events, and integrates artificial intelligence, making it easier for fans to monitor events by the minute and enabling them to avoid distraction by providing dozens of locations.

Smart Features That Make Tracking More Powerful

The value of any sports app goes beyond data analysis and display. Organizing and displaying data in an orderly, readable, and understandable manner is an important indicator of an app's effectiveness. A good app earns user loyalty, and its rating depends on the speed and accuracy of its updates. Therefore, the digital environment has become increasingly capable of meeting the needs of different users, from fans to those who closely follow every round.

Most modern apps for different sports allow real-time viewing of performance changes and provide live streaming channels. This content helps fans understand the impact of decisions and tactical changes that are classified as offensive, defensive, or even within the game. Over time, fans gain the ability to analyze and correlate data and results.

Before presenting the rest of the benefits, it must be said that the most successful systems in this field are those that offer a valuable user experience and a simple, easy-to-use design.

Key Features in Sports Analytics Applications

Here is a detailed look at the key features that users of modern apps rely on:

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kil7ln+1nPelbSznYqu86r/lV9t9VWW+We8Bvf+MYlnByD1J3y15a2rrnIKCYj2Te+8Y30zW9+M9eT4i12Yq6PubroPnlv+wMe8IBcN37gAx/I7JV/jXbSegb6s8XV05WvfOV6FPyGAARaCEgHssVYi06jek16TT859dRTy+UnPOEJ6apXvWr5Lcew+llP4IYfms6jqabaUfO5z33uovpRQbSm3yD621/+8pek6VNf/vKXc73/u9/9Ltd9qoMe+tCH5rqwIQutp1SPqg6VHury0Y9+VLt65J9NOyDZxhZJdZjqwG9/+9vpJje5SZ4OpjrsIQ95SNIOf3XRjoC+Zsszn/nMXP9pLUOlrXZH7Zwtitx3J0BN4/3DH/5Qov7973+fDj744PxbZW+asite0ne1Q5V2Q9VU02233TbrptK1m/LqCXSl307qeZAur2dZDPUtobZDDLRmj9bz2WKLLbwojcdRvmMmcR8bM8NJCCxFwF7ImRPLc171e+YyNiMZirsg3fzmNx8rV3//+98rrZbvzJuOVvFVtsBbYzr2sVPd+9737htecVrDUNmQ+BKHLTbXGsaU+uzPejCKH/sIKWHrjn6r9XvezKBUPe1pTyvxeTlVNpdf/OIXldL2a03H5z3vedXf/vY3D8KxgYBza7jEqRVMoL4L0qBFie+nng3b3nRRUPvIqOxjv/Xd0/vftoObKdp9wypN7S5hiv2idLVD00EHHdSarsKq7jCFsCfsoPWKvwsqW5S4s4UZc/rm/+ijj45Bq0HqTgVoS1vX/vrXvw5UblNO5b1HzEhV4jaDWmXG8vLb0/SjrWdRmXGrJzw/VgcBv8erozSzVQr7sO95p6QLtYn0kVh3xrpqVP1MacV6u74L0j3ucY+SPzPENGZtEP3NOu0q6bD+LDUdzdjQGH/bSTNA9Y3viCOOKEG1i5yNOOrr3zr0KuuIK2HcYcalEu6lL31pcccyLKUrmvGkMZziePWrX52Tim2FGesrM0i0hpGOa2vKeBZ7jl3qt5N4HnSfI7smt+5d066K43zHTOI+9oDmR18Cfl/7epqTizO51zM3qP/TNykDjCpqGUact46q3LUltBqdeF4NhfUy92TMejjyx0n0J4PGk570pMqs91W9cXn2s59dwuujwkaT9CgOUtZ1bv/998/+BmnA5bGfouAfSjGP0a0PP8mvf/3rRfkVA7FQvmKYaLTJgfnXQ8BZ9Zzkx4onMKoBRgpT/ECwnsYeFi972ct63i8ZPKQUyxgaw+m5+tznPtcTVnVSrGfklrHFRm8sCtu0xWfdKKu0d99990VKruKNRuhB6xV/F/oZYNyPjg9/+MMr602ttAVtPB+3Hx2k7hQkD19PW9fq5Vb5VGff7373K+E8/Hvf+14FKRINMO5HR7G75z3vuSi8WCGrj4Df+9VXsumXyEbNVTI6O2MbtduaqbPOOqv4sxEbxd84+pki6adXTeKD+1Of+lTJt8qpekp1vupu1SVedh2j0aQUsMWhD+q6bqn6Tef05wYdGaHrup3qXaUvjjF9uS+55JKeFOOHe92vfts6Pj3+m36oTVKeYnjP52mnnZaDRANM9Cdeqlt1jOcPOeSQRUl1rd+O+zycf/75PWXQd4gMaXFbdS/jSSed1FO+cb9jJnEfezLEj74E/D729TQnFzHArMAbHQ0wephtSPqSf6rg6qJG3V8GVeL1Rl49l9HaHg0oiiuGV4NpU316kpD1XyNGPA0d6z0C8UOmHr4LA4yMJx/84Aer97znPfkjxKYq5DzbVKSSTzXCsRdJHqSMxIZOSg/STMDvd/NVzq5UAqMaYFTeaFDQiA8XvfP+vOj44he/uFJvloveTynE7kcKc+wBk3HAr0lpjmHlz6YVlevyF0fB2HSZnms29LvSR4uLDUfvMe7YFCK/tGjUX1u94nlT3RGlrlTrY8uGvhcvyoctYFzyp/D1kUP96k5F1Ja26j6/pqMU0MjU1p3oMczr48WmFZW81Q0w9bZDeT/YWMY0bH2KEh7H6iDg93d1lGb2SvHyl7+8vEO2gHlrBnXN74VNDSz+xtXPujTAqI6IuqXKoHrHRR/V9TqybaSNh6kf3/GOdxQualfqotEkzk11mE097/FiU9B7jGD1e1D/cNdIHhlNPvaxj1UHHHBApfCDiOpez4f06LrUOSiv0udlpJNIT46jInU91ufy07V+O64BJt4Lm9KmLBexKVfVU5/61MJIaUWJz3m9LZK/pb5jJnUfY55wtxPwZ73dx/xcwQCzAu913QDjD3S/o3p1o8j6H3sZbB2AeLm4ZTlXpeZx6yPMJfZ21nu13Y8a2hje1g/wS/nY7yNi0gYYldfm2/akrx+2/kEpn8pp69Is8qMTNo+4+NMHk8qGLCbgz8riK5xZyQTGMcDEkXY2771giMYVjZxrEinjsa7xHkz5lVHEnzdb36kpeOXKoRT+OIJGvY8eViPdmkTGIvcjQ4QrvbHeaqtXFJ+HVR0Ypa5U27o38XJ2q9yxh1bGpCgxD3Xjtfy1pR3jlIG8SVS3xakBsVe1boCp90gqPuU99uy2tS9NaXNuZRDw52tl5Hbl5VIGB2eso3SxushoEf3YGiLFS6wzR9HPujTA2JohJd8yzksfbZKDgyFXIyKGkX4GGBniIzd1yjWJPt6jPxlXXOof7k11uPvtdxzWAHPhhRcuiu6KK67o0bN/8pOfFD/Lod96GytWbYayfvp8HHHUZKz37xC1o2pX/DmfxHfMpO5jAY6jLwF/n/p6mpOLi1eWMjrI6iegBa6soswFNWNC0mKZTbLhhhumJz7xieWSFv1y0YK2WrjsuOOOS1r8q0m0G4oWJHOxETDuXPajzWNuXFRSi3C5aPvHm93sZv6z53if+9wnLwamk1q80vn1eOIHBCCwiEBcGNA+7st16zEs7he96EXFHR1aANxG35VT8X29xS1uUc6/5CUvSaYgJ/v4L+fk+PjHP57PaWG/u9/97vma8mCjZ4q/F7zgBcUdHVoMXIvk2jSp9PrXv35R3PLbVq/EePq5tdhiXAjc/arctj6N/8yLE5cfIzq04KMWF3fRAppNonpbZXYR1yYxhTgvtFu/pryboaec1qLICAQgMDiBTTfdNNmUnBLARq4Vtzt8cXP91uK72mzAZZb1MzN4eDZzHde2UPe+++5b/GmTiEmJFrB1MeNBXuDVf8ejdGMbiVhOaZHxJjFjeGMd3uR3nHNKR5tj1GWDDTboWbBXCxm7xPZyVvXb+I1g02PzAryefx31HaIdwdR+2eif8pxP4jsmprNc9zGmiXt+Caw9v0VfHSW3Xtlki+guWRg1JFHMsl9+/uMf/8g7gJQTNYdZn8uZGE67A+kvinbzkHFCq5lrZw3rRUlmsS9ezLBZ3MvtaDOsxJ2YtMOHdkNpk6goqJyb2W4lCAQg0J+AFCWXG97whtlpi3L7qXyUoaRN9F66aJcjFylMLjKIaocL1Ym77rpr2mmnnZKt45Q23nhj91KOtiBh3q1HJ2REaKsbZIiwxRBLuCZHW9gmv03nlM820U5ILrEe9XPDHuOHh/WQZ8W2LQ6xc9HOVE2isq+11lpNl3rqRuvlbfTDSQhAoJ2AjCralVHylre8paczTOfe9KY36ZAldpTpxCzrZ9ptyEW7DvXTudyf6ncb8ZCucpWr+KmRjzYSsoRdaoc8tSm27lb2H9uxEoE5tGPecoiNFmpNRgY7l9jRuRL025133jk/38q/9ADxtBGY6UEPelDewVAdJ/WdveQ3fo+M+h2jeFyW6z56ehznmwAGmBV+/7XVs7ZSHlZkIHFRw2ZD8P1n32OszOVRW6yeffbZyRaJTJ/+9KfLR03fSKZ0cfPNN29MOTaqKov+BhFV/vEDcJAw+IHAvBHQx7eMlS7+Hv7YtniPMmgdpO3rXWz6T97m+oEPfKCfyj1l+jDxjxMZEvRxEkf52Xoqxf+4BhQvT4lwSIcbpJqCXfe61y2nbeppHoETRxOViwM6bCHJ4lNbrfaTa13rWuWytpbWVt/xnC7e6EY3Kn7qjiaFue6H3xCAQDsBW1sqG4j1/slooDrT6xtts+yj2fSxalMzFkU0i/qZ2oOoRx566KGL8t12wqZaLur0a/Pb73xsj5bqRIt1nDoVm+SmN71p0+mJn9N9bhN1FjTJStBvH/awh+WRUBrF6qJnRNt0609iC/On/fbbr4xi1blJfccoLsly3cf/psb/eSew5rwDmNfya6TKKBI/XGxOZ9puu+2ylVpGCykJUdQTbYuDNU77if6Wy13/ePB0Y5n83CDHURkOEjd+ILBaCMTRKyqTK7Sjvj+qZ+JIOg3T1/SitrpGQ7A1lcjWfEm2oF/GGnsI47D9UZi31SuDxhVH1dXD1I0t444kWXfddUsS66yzTnG3OTQ6yMUWOHZnOU6iN7pEhgMCEOghcKUrXSnFaThxytGpp55a/GraRl1mVT+r64n1fPf7HafW9PO31LVh6sHoN7YbMY2NNtoo/uzM3a+taEt0Jei3mrIqQ5xGe8no2CR69jVd7DWveU1p/0fVIdqYLNd9bCof5+aPQLPJdP44zF2J/SNIBdcImpe+9KUDMYjDzdVjHYdyquLcfvvt0xZbbJGHD2rakypW9Vh7T019fYaBEjVPGl7YJuM06IpTPcGeP1XybQ1APX0pRwgEINCfQH3tgk022SQHuMENblACami1Le5afi/lUL0SxRbYTbZgbl6nRfFoGLOUOX+v5dcWgk2a0mPbPKc46sQWLIxRLbtbI0vaJCqKMoaMW+dc73rXK0lpTn0/0XD/WLdqHj4CAQgsLwHpWbYjUk5Uo/ps4ewkQ6zqOxfbvt6d5bhc+lmbUbht3adrXvOaZVSPMvuzn/2srOlRMt/imJTBN7Y9S9WDyp/Lda5zHXeumONy67fDPg8RpKYO60+GNo341BIGWqstrreo9eC23Xbb3JZP4jsmpo8bAstJAAPMctKeobTiUDsN9bva1a7WmjstfHXZZZclNVreAKqCtO2vSxgZLmynpfI7OmLlOYwBJvb+9jPAKG/jSFzIU0NT+7FQWuoJ1nzbcT+GxskzYSGwEghorZX999+/ZFUfD27EjetS2c4HST2NbaMy9P7r3dSoujjiRCNhfv7znyeNstl6661zHFLO9HfIIYckDVnX6Bc3FGvxRxlg4tQexatFedvSlsKnxRelyNquHBOf71+filVgmSPOcZ/E/PTIXFMYxK9uzPL0Y9qTMP54vBwhAIHBCei9V8+/6jDpanpvZZh1w4GML/V1rpZDP/MStI0KUd3fJlp01Td0UB3ti6M3+bfd99J6662XZLiPOmGT30HPxemXcU2xpvBxulRsN5r8zuK55dZvR3keZLTRc6B2Xp0xMtJpWrH+Xve61+XOmfvd736lQ0CGGXWmjPsdM4v3izzNDwGmIM3Pve4paay4tLp829xWBbLtYfO8WxkmDjjggBxPXBBS6zC0GV/UyLqioIB167h/jOla3B1Fv6OBQ3HIEFQXfUD4InX1a4P+jvNqjznmmDJNoR5eDcuWW26Z9BGjj8VB14qpx8NvCMwDAb3r//d//9dT1LijhOoTGVRctMhkm6i3V4tKahRGXJhWI1lkDNX6B+oxq4vm9x9xxBHltKYqSVTvaNSMy9vf/nZ39hxVJ5144ol5IXHb1rQnvz0ex/ih3ZXq9aJHJ+XTJe6IonP96k4PUz+qrnaR4SnuRuLn/XjUUUe5c+BRgSUADghAYGIEnvzkJ5e43ve+9/V0ftUX35XHSelnJdGaI3ZSxXWlord+dUtcTPbYY4+NwXrc0kuln6mOV30XRwT2eBzyR1z3S/WvjPhNonrZ1yDR9S7W/IsG8H4djU35G+Tccui34zwPMrCp80P3RO24bam9qFjqXIk7FbrRbNzvmEUJcQICy0gAA8wywp6lpGRE0PanLjKyNM2vlXEjzjvec889c5C4wKJGuMTeUo9TlWR9hfn6OgJxTmt9JIt6O2KPbdNuTy9+8YvTuNsTPuQhDykfViqLjExNH0TaJteNSeoR1rbUCAQg0EtAU1c+9KEP5W05TznllHJRxpc4BUYX4tbTGimjHTHqorolbpf8+Mc/vnjRlEeXGJef01GGBhcNb3bR9tIuqkfq9Y+uaWqmT8NRD1wcfeNhxz2qh9V32YhxnXvuuUlGH5e6kbtf3elh6kct1KhRPC4a3ROH2Pt5pX3SSSf5z9Q0xaFcxAEBCHRKQDqKi3YM8npVBtW4W5n7mZR+5vHVj74QsM6rbq53nqn+OPDAA+vByu+4Zs1pp52WTj/99HLNHVqvS9smu+y2226LRvr4tWGPd7nLXZJ2gXPRqMj6yA117h1++OE97Udc7N3DjnuMo3qkX9Z15HHjXw79dpznQTq+d8SorY2dDrHsMtS4uO497neMx8cRAlMhYJXMzImBqPSHNBOwnt7MR4zMut3saYCzNuSvxKO4rBKsTOmurPekMsW/2muvvXqu25ZwJVazUvdcM8t1dfLJJ1e2Knn1qU99qjrssMNyfH4v/WjGkhKHHDZPucRjykRlDWFlHyPFj62KXq4rDltIs7Idl6rjjz++sh7hnmu6vs8++5SwcliPRfFjH3I91+KPM844o/hTPNY4VzbFqvriF79YWQ9NTzy6HvMY48FtWovx0R+yugiYAlTure7vHe94x54/G1FS6R32+x+PZjyorHdvERBT3CvrDe0JY0pvZVN+KtUVZrSpzNhZrquOUt3jYkORyzWlZ0p6pXNm/K1sLZjKpiH1XLf55B60MiNrzr/nU3G/8Y1vrGyof6U6du+99+4Jq3Mug9YrHrfKEOVVr3pVT9zyZ1vOVrZ2TU7/oIMO6rluxqkYPLuXqjvb0rbFOXvuk/J23HHH5TJ/7GMfq+yDqidtWxOrst1USvri6nGrjWgTG01Y/MmNrC4C/gysrlLNbmnMGFHeJ2dvBuLGDE9CP4t1a12vko7nedDRjEC5DpFupnosXpPbPpQX5dOMMD3+FE51/vnnn1/ZgqxZt43xqN4ZRqTDengzsC8K+pWvfKVclz+1ZzYSMqd/1llnVdJ3PbyOtg5PTxzScf26GcV6rg37Q22Px2XTzSrrHKhsBFGOJrYV4tsmUV+vs+pavx33ebDOk1J+cbCRs7kdVDtui+hnvd/56GiGqoJhnO8YRTLJ+1gyhaOVgN/HVg9zdGEmv5K4Qf2fwEkZYJTKmWee2fOB4+zrRxlYbFG1noyZpbqn0qyH0W81vNFQYmtA9MRhUwsWxaHGyMV6pXs+FprSiJV3XVEY9ENJ6cV4mtLxc/ooRNoJOKd2H1xZiQTqBhi/z0sdbXRdo/HFGdgw80VGmKY4ZSiQQlaXQd9b1T0y+ERR2jJiN6UXz9UNCIPWKx7HIAYY91s/yqgko0ldlqo7PZ562opHHzltxjIPp6MM0VHZVVgMMKKA+HMCieUhYNO5F9VTtvZVa+Lj6mf9DDC2ll+14447LsqPPxM6Su+TUUPuJgOMjbheZOSI4aNbBoRhZSkDjOJTh2NMp80tY5EM9lEm+eFuO/gtyoc6GyWTMMAonkHbyVH023GfB3XOxDa17T7ovO5rXcb5jpnkfazni9+LCfi9XXxl/s5ggFmB93ySBhgV34agV+qh9hcjHqW827ZvjR8AqnT1ERCt9x5W4Wyoe2XDSCt95Pj5pob4+c9/frnu/n7/+9+XO2NbzVV77LHHIj+KSz3W+qjycHUDzC677FKu2fSiEmeb44ILLqjufOc7lzAer47q4VdFH3uD2+KZ5/PObJ4ZrMay225Bje+F328dVRfo/ZHR4BWveEWuWwZhYdOWKtUDqjdifO7WyLi291fvo+1wlJV89x+P+gjQaLY2kXFD8TelrbAajVOXQesVjzMalRVXVKo1+sSmPS4qt8JopF1d8Y956Vd3tqXt4VXHqr50f5GZ6lbV+3WDlcIOaoBRb63HWTdgeR44rlwCfm9XbglWXs7jaEEZOPrJuPpZPwOM0lXdoJEl9fpDv1Wf6qNao+f0nDTpfZ531d1txmCV8aKLLnKvQx012tGf0frolRiROhbajEkajaLRME0S6/Amo0BTmLZz6tyMHZXKt9pRSRxJ2G8ETByxqdE9TdKlfjvu82BrPObRKPXnye+hTQGubAHqpmLlc6N+x0zyPrZmjguFgN/PcmKOHWuo7AZkpsQXpZrBrM0Up0lnxhrspAXVNNdSi8xqizdrGJPWDegnVvHmcDYUMC+UplX7h10tXutGaDcQLbyrdSLiHGZPWwuUaY0ILZh2hzvcIa+K79cmfdQ8XJtOlVSmjTbaKLPQFoT+bE46vdUUnzPi/V1Nd3X5ynL55ZcnrR+ld1B1kHZfa6oPmnKknTe++93vJjMu5HBa7FF12SCi51VbUiu8dt3QooBmBBkk6NB+jjzyyPSc5zwnhzOlOi90rnWntBuU1mTR4sJaPLFtZ6aY4CB1Z/Rfd6vc2kVKzFXXK237YJrYjiP19Pi9OghQz6+M+zgJ/axfSaU3ap0t6Y1aFFV//mz0C1e/pk0WVPdqHRTpnaqHtBvOconqX+l8WnNM6WoB9/qaZV3nReswqv7fYIMNsg69lO49an661G/HfR6sQyV/T+he6NnVLk7DtEejfseMypJwwxHwuoHvg5QwwAz37OAbAhBYggAV7BKAuDz3BJoMMHMPBQArigD1/Iq6XWQWAhCAwNQJ0G4s3AJ2QVpggQsCEIAABCAAAQhAAAIQgAAEIAABCHRCAANMJ1iJFAIQgAAEIAABCEAAAhCAAAQgAAEILBDAALPAAhcEIAABCEAAAhCAAAQgAAEIQAACEOiEQP/VVTtJkkghAAEIQAAC80tAi0zaDksZwIYbbji/ICg5BCAAAQhAAAIQmDMCLMI7Zzec4kKgawIsstU1YeKHAAQgMF0C1PPT5U/qEIAABFYaAdqNhTvGFKQFFrggAAEIQAACEIAABCAAAQhAAAIQgEAnBDDAdIKVSCEAAQhAAAIQgAAEIAABCEAAAhCAwAIBDDALLHBBAAIQgAAEIAABCEAAAhCAAAQgAIFOCGCA6QQrkUIAAhCAAAQgAAEIQAACEIAABCAAgQUCGGAWWOCCAAQgAAEIQAACEIAABCAAAQhAAAKdEMAA0wlWIoUABCAAAQhAAAIQgAAEIAABCEAAAgsEMMAssMAFAQhAAAIQgAAEIAABCEAAAhCAAAQ6IYABphOsRAoBCEAAAhCAAAQgAAEIQAACEIAABBYIYIBZYIELAhCAAAQgAAEIQAACEIAABCAAAQh0QgADTCdYiRQCEIAABCAAAQhAAAIQgAAEIAABCCwQwACzwAIXBCAAAQhAAAIQgAAEIAABCEAAAhDohAAGmE6wEikEIAABCEAAAhCAAAQgAAEIQAACEFgggAFmgQUuCEAAAhCAAAQgAAEIQAACEIAABCDQCQEMMJ1gJVIIQAACEIAABCAAAQhAAAIQgAAEILBAAAPMAgtcEIAABCAAAQhAAAIQgAAEIAABCECgEwIYYDrBSqQQgAAEIAABCEAAAhCAAAQgAAEIQGCBAAaYBRa4IAABCEAAAhCAAAQgAAEIQAACEIBAJwQwwHSClUghAAEIQAACEIAABCAAAQhAAAIQgMACAQwwCyxwQQACEIAABCAAAQhAAAIQgAAEIACBTghggOkEK5FCAAIQgAAEIAABCEAAAhCAAAQgAIEFAhhgFljgggAEIAABCEAAAhCAAAQgAAEIQAACnRDAANMJViKFAAQgAAEIQAACEIAABCAAAQhAAAILBDDALLDABQEIQAACEIAABCAAAQhAAAIQgAAEOiGAAaYTrEQKAQhAAAIQgAAEIAABCEAAAhCAAAQWCGCAWWCBCwIQgAAEIAABCEAAAhCAAAQgAAEIdEIAA0wnWIkUAhCAAAQgAAEIQAACEIAABCAAAQgsEMAAs8ACFwQgAAEIQAACEIAABCAAAQhAAAIQ6IQABphOsBIpBCAAAQhAAAIQgAAEIAABCEAAAhBYIIABZoEFLghAAAIQgAAEIAABCEAAAhCAAAQg0AkBDDCdYCVSCEAAAhCAAAQgAAEIQAACEIAABCCwQAADzAILXBCAAAQgAAEIQAACEIAABCAAAQhAoBMCGGA6wUqkEIAABCAAAQhAAAIQgAAEIAABCEBggQAGmAUWuCAAAQhAAAIQgAAEIAABCEAAAhCAQCcEMMB0gpVIIQABCEAAAhCAAAQgAAEIQAACEIDAAgEMMAsscEEAAhCAAAQgAAEIQAACEIAABCAAgU4IYIDpBCuRQgACEIAABCAAAQhAAAIQgAAEIACBBQIYYBZY4IIABCAAAQhAAAIQgAAEIAABCEAAAp0QwADTCVYihQAEIAABCEAAAhCAAAQgAAEIQAACCwQwwCywwAUBCEAAAhCAAAQgAAEIQAACEIAABDohgAGmE6xECgEIQAACEIAABCAAAQhAAAIQgAAEFghggFlggQsCEIAABCAAAQhAAAIQgAAEIAABCHRCAANMJ1iJFAIQgAAEIAABCEAAAhCAAAQgAAEILBDAALPAAhcEIAABCEAAAhCAAAQgAAEIQAACEOiEAAaYTrASKQQgAAEIQAACEIAABCAAAQhAAAIQWCCAAWaBBS4IQAACEIAABCAAAQhAAAIQgAAEINAJAQwwnWAlUghAAAIQgAAEIAABCEAAAhCAAAQgsEAAA8wCC1wQgAAEIAABCEAAAhCAAAQgAAEIQKATAhhgOsFKpBCAAAQgAAEIQAACEIAABCAAAQhAYIEABpgFFrggAAEIQAACEIAABCAAAQhAAAIQgEAnBDDAdIKVSCEAAQhAAAIQgAAEIAABCEAAAhCAwAKBtRecs+daY401Zi9T5AgCEBiIAO/vQJjwBAEIQGDFEqCeX7G3joxDAAIQgMCUCDACZkrgSRYCEIAABCAAAQhAAAIQgAAEIACB+SEw0yNgqqqanztBSSGwSgh4jyjv7yq5oRQDAhCAQI0A9XwNCD8hAAEIQKAvAW83+nqak4uMgJmTG00xIQABCEAAAhCAAAQgAAEIQAACEJgeAQww02NPyhCAAAQgAAEIQAACEIAABCAAAQjMCQEMMHNyoykmBCAAAQhAAAIQgAAEIAABCEAAAtMjgAFmeuxJGQIQgAAEIAABCEAAAhCAAAQgAIE5IYABZk5uNMWEAAQgAAEIQAACEIAABCAAAQhAYHoEMMBMjz0pQwACEIAABCAAAQhAAAIQgAAEIDAnBDDAzMmNppgQgAAEIAABCEAAAhCAAAQgAAEITI8ABpjpsSdlCEAAAhCAAAQgAAEIQAACEIAABOaEAAaYObnRFBMCEIAABCAAAQhAAAIQgAAEIACB6RHAADM99qQMAQhAAAIQgAAEIAABCEAAAhCAwJwQwAAzJzeaYkIAAhCAAAQgAAEIQAACEIAABCAwPQIYYKbHnpQhAAEIQAACEIAABCAAAQhAAAIQmBMCGGDm5EZTTAhAAAIQgAAEIAABCEAAAhCAAASmRwADzPTYkzIEIAABCEAAAhCAAAQgAAEIQAACc0IAA8yc3GiKCQEIQAACEIAABCAAAQhAAAIQgMD0CGCAmR57UoYABCAAAQhAAAIQgAAEIAABCEBgTghggJmTG00xIQABCEAAAhCAAAQgAAEIQAACEJgeAQww02NPyhCAAAQgAAEIQAACEIAABCAAAQjMCQEMMHNyoykmBCAAAQhAAAIQgAAEIAABCEAAAtMjgAFmeuxJGQIQgAAEIAABCEAAAhCAAAQgAIE5IYABZk5uNMWEAAQgAAEIQAACEIAABCAAAQhAYHoEMMBMjz0pQwACEIAABCAAAQhAAAIQgAAEIDAnBDDAzMmNppgQgAAEIAABCEAAAhCAAAQgAAEITI8ABpjpsSdlCEAAAhCAAAQgAAEIQAACEIAABOaEAAaYObnRFBMCEIAABCAAAQhAAAIQgAAEIACB6RHAADM99qQMAQhAAAIQgAAEIAABCEAAAhCAwJwQwAAzJzeaYkIAAhCAAAQgAAEIQAACEIAABCAwPQIYYKbHnpQhAAEIQAACEIAABCAAAQhAAAIQmBMCGGDm5EZTTAhAAAIQgAAEIAABCEAAAhCAAASmRwADzPTYkzIEIAABCEAAAhCAAAQgAAEIQAACc0IAA8yc3GiKCQEIQAACEIAABCAAAQhAAAIQgMD0CGCAmR57UoYABCAAAQhAAAIQgAAEIAABCEBgTghggJmTG00xIQABCEAAAhCAAAQgAAEIQAACEJgeAQww02NPyhCAAAQgAAEIQAACEIAABCAAAQjMCQEMMHNyoykmBCAAAQhAAAIQgAAEIAABCEAAAtMjgAFmeuxJGQIQgAAEIAABCEAAAhCAAAQgAIE5IYABZk5uNMWEAAQgAAEIQAACEIAABCAAAQhAYHoEMMBMjz0pQwACEIAABCAAAQhAAAIQgAAEIDAnBDDAzMmNppgQgAAEIAABCEAAAhCAAAQgAAEITI8ABpjpsSdlCEAAAhCAAAQgAAEIQAACEIAABOaEAAaYObnRFBMCEIAABCAAAQhAAAIQgAAEIACB6RHAADM99qQMAQhAAAIQgAAEIAABCEAAAhCAwJwQwAAzJzeaYkIAAhCAAAQgAAEIQAACEIAABCAwPQIYYKbHnpQhAAEIQAACEIAABCAAAQhAAAIQmBMCGGDm5EZTTAhAAAIQgAAEIAABCEAAAhCAAASmRwADzPTYkzIEIAABCEAAAhCAAAQgAAEIQAACc0IAA8yc3GiKCQEIQAACEIAABCAAAQhAAAIQgMD0CGCAmR57UoYABCAAAQhAAAIQgAAEIAABCEBgTghggJmTG00xIQABCEAAAhCAAAQgAAEIQAACEJgeAQww02NPyhCAAAQgAAEIQAACEIAABCAAAQjMCQEMMHNyoykmBCAAAQhAAAIQgAAEIAABCEAAAtMjsPb0ku425Ysvvjh985vfzIlssskmaauttuo2QWJfkQQ+97nPpSuuuCKts8466X73u19aY401VmQ5VlumP/rRj6a///3vrcW66lWvmq5+9aunDTbYIG222Wb5/rV6/t+Fc845J/3nP/9Ja621Vtppp52W8s51CEBgBRP4zne+k374wx/mEtzznvdM66+//gouzerMOnpa9/f1ggsuSL/61a94DzpE/e9//zt96EMfyilc5zrXSXe6050mnprqMtVpklvf+tZp8803n3gaRAgBCCwjgWoGxYpf6W8cOeGEE3IcimevvfYaJ6pOwv7sZz+rHvvYx1Y6zqpceOGF1aMf/ehZzd5E8nWPe9yjPCc///nPJxJnjMQ++Kt3vOMd1WGHHRZPr2r3JN7fa1/72uW+eHxtRzPEVK985SurP/zhD325enj5X4kyj8/SSrxPg+Z5JbQBg5ZlFv296EUvKnWI6uC6/OUvf6kOPfTQ6v3vf3/9Er8HIOD16QBeW73Mup7WmvEVdOEBD3hAeQ++/vWvr6Ccr5ys/vnPfy6Mb3zjG4+c8X5t/Gte85qSxvHHHz9yGgSEwDQJTKLdmGb+J5k2U5DsaVhuectb3pI23XTTdPLJJ6d//vOfy538kunZA5b23XffdOc73zl94hOfWNI/HpoJXH755em+971vevjDH54uueSSZk+cHZvAH//4x/Tc5z43v1NvfOMbx45vFiPgWZrFuzJ6nma9DRi9ZCsj5Be+8IW0xRZbJDPSpN///vcrI9PkEgIQWLUEaONX7a2lYBBoJLBqpyA1lnZGTp5yyikzkpPmbGiaxnHHHdd8kbMDE/j+97+fPv7xjw/sH4/NBJ71rGel613veuWihvtaj1MeVn3eeeelr33ta/maDDFPfvKT83Skxz3uccW/O2xUTfrlL3+Zpy35uZVy5FlaKXdqsHzOehswWClWrq+Pfexj6Uc/+tHKLQA5h8CABDRV1+XKV76yOznOGIGl2vj11luv5FhTsBEIQGBlE8AAs7LvH7mHwKonYFP10u1vf/vWcmrutfzIuCJ5/OMfn7bZZpt005vetCeMepgQCEAAAhCAwLwQOPXUU5P+kJVN4ElPelLSHwIBCKwOAkxBWh33kVJAYG4JaEHdT37ykz3lt7Uden7zAwIQgAAEIAABCEAAAhCAwLQJzO0ImBe/+MV5RxTNA999993T5z//+TxdRFMaNBTwDne4Q9456VGPelTP9Id4w/7xj3+ks846K334wx9O3/ve95ItqphucYtbpNve9rb5b8899+zZneXd7353ni4hvy5HHnlkuuY1r5ludrObJaUV5Re/+EWyBQLzyuff/va303e/+9209tprp5vc5Cbpbne7W3rCE57QmDcNb//BD36QNEzxec97Xh5qrR1gVLaLLrooh9cq7Q960IMW7Q5li5kmW8y0ZEPz4w8++OD8+6EPfWi63e1uV661ObSujS06my9rhxqNSGgS5dGH4m+//fbpXve6V/HmZdC0Ea1Hozn7KsNnPvOZdOmll2ZeCiMG17jGNUq4ukPr2XzkIx9Jb3vb2/KuWP/617/Stttum/9UnkFEU1y0Fo74f+Mb38j3WUN59exst912uXxXucpVSlS//e1v02tf+9r04x//uJxT/sVxzTXXTPvtt9+iPOu+6Dn66le/mv+uf/3r55X0t95667Tbbrv13Z3ps5/9bNKzpWdEz67WF9IzqJXy99hjj7TxxhuXfKxWx61udav0+te/Pj3lKU/JRdTzo3ugd8tFRhlNX1p33XXT85//fD+djTe+1tEzn/nM/J5ofSbdi9vc5jZp7733TrvsskvPPRjnfilh7Wjw1re+NT/Xek6udrWrpVve8pb5HXjMYx6T8yh/ozxLCtdPzj333PTFL34xP8+2KGPeBUzvkOqEHXfcccnn7Xe/+116+9vfnhSP8q53SvXelltumfbZZ5+00UYbtSY/aLnrEeg9Vl2oevpLX/pSTlf3/I53vGPaYYcd0l3vetd6kJ7fo74j4q+yqu7UDhR/+tOf8mgsPReqg5X2MDJsG6Dn9Z3vfGdOX3XPZZddlp9JtU9aX+rud7/7MMkXvzJYLuczPwp/reekul471GmNJ723dRm0rfFwenbUZnvZdf6MM87I7bd2R9OaMC7Dtu8ejuPkCLiepl2s9Lxr10JNH9MueZqGqnNqz1VvSTeSqI5Qm6+/3/zmN7mdVv0t/Urtb5Rx9QzVf1rPSfLgBz8458EWSM15vNGNbpTrUo3OjFNGNPVN+ojeZ+3Uqd25VHdqlKdtGJF398sR/u/fiSeemH7605/mXw972MNy2x6vR/fZZ5+dtOuRxP0qLekFEtXP2hVUojgVt8QW6s116Qc+8IFc1+h91ZRerQOoP5Wh3/Slv/3tb+m0005LCq86XvdC9+VeptNJz7RFsLN+orRcD5J7KRmFr8p15plnpq985Su5rVC9obZNjMU3TuVpSn9Yfa8pjmHODdrGqw2SjijZeeedk3RDl67fE09Hx3F1nxgXbgjMNYFJrug7qbjshuTVvseJb6nV9T0Na5SrY445Jqfn5+JRO6ZYQ74oK2aYqEz5bw2nOKzhqkxpL2FtXYpW/1qp3sWU7urVr351q1/Pn/JmCoQHK0dTNnJYXTeFpdLRw9SPZgAq4eTot/uM8jSIDLoivLh6fkwx6Ik6lkFldH/1o8pmRpmesP5D98i2lm4Na8aJygxK5Xp9FyTbnrqyD/pyvZ62/9aq99oxysUMS33DRL+21XL1whe+sK//+9///pV9eHn05agV85fKn+7nBz/4wRJmORzOZZy04nNoitRAUZlhoIejfWj1hPN86ZmJoh2q/NpLX/rS4vZzOpqCmYOMc78UgRkrqoMOOqgxDU/PjG+VGX9yesM8SzlAn3+qi+5973v3TVt5sI+ZyqZrNcZkiu2S4U0RXxR22HLHCMwQXcWdPJxTPJqhudyjGHacd0Q7hvSrO5W+donTczeoDNoGKD4z2i7ZxjztaU+r7ENp0OSLv+V65sfhH3eoM0NMyXt09GtrmnZBMsNq3+fX4x6lffew83L092+c8g6qp+m90Y5Vnmb9qPdf0k+XUzsq3SrKuHrGpz/96ZKnAw88sLG+MINQTvKvf/3rQHW/GUdjFiv7uC5p2BSUnmvxh9416SLOxozs+XKsO+MuSKpf3O+xxx5bSRf23/WjdF0zrMTkits6fiq1WfUw/ts6ySrnrHNqCwaVYfgqTjOWN94Dz4v4mIGqMflR9T1F1q8eakwsnBy0je+3C5KXr6v3RNkdV/cJRcY5xwT8WZ1jBKXo4+31XKKZrGMSN2jQht3T0lHKtvW0NBoh6lvcxkZNYW2UQqWGJjaAOq8PSW9wjj766Mp6ansaCDVsOrf//vsXiG9605t6GjPFqa20rSc+5y/mWe76x3ls7KJfGYRufvOb98St69GAoQ8K5SeG02/9NX1YlUwHx6CN0SAGmJgPsZTBQZzjB7r81D/SpWhFBV5+ZGyR0aV+jzyNugFGLPyajuKnBk6Kio0u6bmmuKUASazXLd+nyFrPlnP81re+lf3Jvz52YxqKx3qbKus56jmv8lpPSQ7n/+pGOn1c2yK0i+6f4o+GQA/f1dHLM0788f7W722/ePUeevqulLt/P9/PAON+4lHPnGTc+6U49MEc45biaiPwegyBuq7y670e9FlS3P3ERgosUpL1QSKF3kaCLXqfnv3sZy+KzkZi9ORdHBVHk5Gz/hExbLk98V//+teL8qZ3Q+9I3QCuvNRl1HdE71p8BuVWfaB6WOWO91DnB5VB24AmpVz1me2otqgOFwfd32EkGmBiWdw9qWd+VP4qS6y/J2WA0Qed6uF4b9Ue6JzafpdR2ncPOy9Hf1bGKe8oeprS1bMR76HO2UiL8l7qWnx+PK82GqQnu026ksIOqmdEA4GnEY96tlwvqNeBSkd1b1P9+d73vrfkU4YPj1N1j7ZPb5Lzzz+/+JMe4RKf5TYDjMevo9okvQvxnNzSL+pio74X1YcKqzLV74/H5/pwPa6m38PwfdnLXtaTZ5VD+p7KX6+z1TFZl1H1PcUzqM5bT1O/B23jBzHAOGM/Tuo9mYTu01R2rLmkqwAAQABJREFUzs0fAX8256/ki0uMAcYaFj0Qhx9+eKUeChcbStlTmb/hDW/wS5Ut9tlzzYY8lmtyqJHzh0zH+gia2At98cUX94RVRRc/7tUjX2+wbIhkT+P2ile8oieOulKhRigaF6Tcx8ZRHxVRlJ7nX43YsDJoYzSMAUYfV+qVdNE9iEqC3K7oyE+9p/Nd73qXB83H173udaWMXtbISAq/n2+6h4pEcUY/UoCiyLDl15t6rmJ4KQj1PErxkiLlcdQ/iuNz8r73vS8mXenDNX6gqjd4ucTzO0568fkcxgBjOyYVXvpIj+L5Euso9Y9RGc5kbLSh7tUBBxxQ2bSF7H3c+2XDukvelBcbit3z4WzD0XveS5smVbK51LNUPLY4Yt71TtfrHY3wkcHKGenoo34UpQwSUYnVx44URxe9O3pHPbyMlS7jlPvpT396iVPPu48M8rhVh8R81Uc9jfqO6AMolkW9fy6qH236WLkuf8OMglE8/doApSV+nr7KoF7mKOrp9es6qj4bRpbrmR+Vv8oSP6AnZYBxRmrvnV/9o3zc9t3TWO1H5zdOOYc1wGg0iPQLieonGa89H36Urua6gHS6aODQx3iUuq40rJ7RZCA46qijKtV5RxxxROm0es973tOTT71/Ua/TMxc7Y9T+xZFtsb6waYyxCMUdDTyxPhjUAFPXQWTUVRvlXHX0ziNPNBotZGyK9bNN4auks8Twcsdyezxtx0H5qj2L6eg5iXW2TR3NxnP3I90o5mNcfW9QnbetnDq/VBs/jAFm0u9J1B/qz4nyvpSuKj8IBETA30FoGItZhDCJGzRMw97WgxmnhsQPaJuHWR4i9Ug2ySGHHJL9qFHS8M4osTGtfwjZ3PQStxqJNolDbb230v1GpULpN/WYxDLUjSxqmPwe1K95Gv2OgzZGgxpgpIy40hXT1Uef51PHOEQ2Mm6bOqWP6xg+GmDisN/6SIqYB/VgeRz6KIrSr0GVYii2Hrb+EeDxyJASPzBtLne+JOXMw+p6k8iAID/ip5E7yyWer3HSG9UAI2Okp18fEeHn67zqH6NNBp9x75dYRGW1bhxyVm9+85tL/sXAh8z3e5Y8bL9jNFbKuNwkUrjjsxYNyyeddFLJl55bKdd10SgrZ6yjP6ujltvWSOiJz9bOqieZf9t6EMWf6jsfDTLOOyLjl5dFbUmTuIFARtKmHtWmMH4u1k/1NkBTBj1tHWO95OF1lJEw+osGseivyb0cz/w4/JVn56syLqcBJraNo7TvTbxX4zl/9sYp2zB6mjqS3LDiadbrCBng62JrrpT3RMb1KFFXGkXPqBsIbP2XGH1xx86QNn1C9VYcNSsd0kX6gfPWKM+6yBgV6+44hXRQA4zq+LqIt0aHedpRT5FRw8/rGI0vMZ6oI8lfNHxEf03uQfmqE9HzEnX1GKfKEtvBOH1/XH1vUJ035qfuXqqNH9QAM+n3ZBK6T72s/J5fAv6ezi+BhZL3rkhmZOZRrNFuLLYp1uW8jb4obi2C66LFxbRYoDWAfiofX/CCFyRrUPOCZE996lN7rvX7oYXCtACaFoezXoxWr1q016Wetp/XUWWLC8T6NS0g6xLL5udm6aiFEeMidp43LSanRVNdtKidxB7vZOusZLcpJemJT3xidtf/PeMZz6ifKr8VRgv96d72u39aCNSl331wP37Ugr72UZF/2kdjeuQjH+mXeo4bbrhhT/61wKBEi7aawpjd9qGT77N9gOXf/s8+8pI1nknbL9uHvZ9e1cc11lijlM8UveIe1CFmTVtej3u/VBfYqIqSDdUPTaKFIvXO2nDqvKiwKY1N3oY+Zx86eYHE4447Li9Y2RSBFk7U4rIu8XmOeddixloYtS5aiNcMw3khU1PU80LT45RbC8W6mJE5L7ztv+PxPve5T15wWue0wKW/V+O8IyqLy0te8pK8qGb9Xnz84x/PC7nbh8fIi+F6GvGo+t/F1gsqi2b6OT+aol3KrXNaPHIU6eqZH4f/KOWYVJgu2/dJ5XEe47EOk56F0MXADBY9KJra+s0337z4MWNmcdcdw+oZ9fD6rU0B6qJNDbT4s4sWlG4S1b+q91202LCLFvh1sdE0eXFh/62jFmeVHiAxg0fRDfKJAf5JT7JOgUU+1Z6a8aic1yLkLq5v6bfqoqgvux8dzbgRf47lbuKrCM0YXeLVfWwSlcVG5JRLsX3pWt8riS6DY9Lvybi6zzIUmSQgsCIJ/HfZ+BWZ9cllWjv1NMkNbnCDctp6ootbCpo+mqXsS2zdjfyn1d6t1z3pg+CmN71p8T+MY4MNNkjW85f/PJw+JK2XNO9sZKM88ir12hHEJebNz/kxKh9+TsfrXOc65ac33OXEjDnEs03iSvA2ciE98IEPzB9gXibtFiLlokmue93rZuUiKkfu73rXu96iHaaslyPfc90D6+1P1juTd2byMDL8DCqKw0W7bWhHnDaxUTDlUgynXQ70QS2xYc/5T8+O9eolG3adV/3vt3NBiXQVOX5su1K4tL3Xfr3pqJ2ImiRyH+V+aUczfyb1PEYDakxPSriN2IqnJuKWoTAaCxWpDHaqw2xKYt6Rw0akFcOlrsfnWbt1uFiPqDsXHbVjWRTtSDFqueNucYqn3zsSn3OVye/9qO+IjBIuMuhotxUZPHfdddekbc+1u0dXu4t96lOf8qRTzEc5+T+Hdu1Re2PTAvIZ7XSifA0rXT3zyseo/IctwyT9d9m+TzKf8xZXNA572euG4Bvd6EZ+qeeoOlf1kNdFPRf/92NYPaMeh3TCen7kx3clkttGYCR1qrRJfH+lz7ho5x4ZobXTn0RGmGhsinVj266THlfTUe2R6pMm8bpU12KnhgzPLttss407Fx1135z/ootDnGjjqw6mKDKMt4naERfpcC5d6Xsy+HmHgKcVj9JBbURpPDW2e9Lvybi6z9gFIgIIrFICGGDsxsatauN9jiNH6r2fNkw8bwXnRhiF0/aW+pOoZ8amfeQth5tGb2RPff5pS2ubupS0reCoPZuKvq1yb2ts+2RpapfaylAvnxtSYs9MVB6aCiADlYdruq5rGomk0TD9GtKmsP3O6aPXRfE29T759XiMH6Uvf/nL83a82p7bRdt06k/bLOuD0YbQ516fNsXUw62WY+QqhW1YaTOcxnhHuV+/+tWvSlbajC/FQ0cOGWpVn9gaCdl42O9jpJ6FWM9JWR1Uxim3et5clG/9DSJSGN1wMeo7ojrH1lXKBl1P09ZpSLZAev7TOX0s6SOobfSahxv2GOv72AnQFE80sEdeTX7bznX1zCu9Ufm35XW5znfdvi9XOVZTOle60pWWLM5SWwz3i2BYPaMeV9OHr/xccsklxWscXVVOBse1rnWt8kv1s7Yo9nPSEdwAo62v3QAjQ7q2t5fI0LHDDjuUOAZ19NMP2vRX22WpRO9bW5cTNYfavH56Vs174882vrHTRQEH1aViPesJTlrfO/XUU1PbiCelqXYqjnTyfIxznPR7Mq7uM05ZCAuB1UxgzdVcuEHKpgZrFNEQdU0H0XA/nwoS49GHsj6C73a3u+XRK/HaUm41plIGNBy1qZHQKAeb17tUNPn6IJXxQBFN0VM/pUojBlykrEjiiJE11+z/iPfrjdJw1a222ipJ2WkyvmjEUxye6/kY5FifLjRIGPmJH7R6dvWRKANRUz70wWi7rqTb3va2qV+v0KBprwR/tlhpyWb8OC0nl3BstNFGjT7GvV9xOs/666/fmEaXJzV6a7vttkt6ZmXIqBtfVIfJYNxUH9ZH2PV7H+tlGKfc8Vmvx9vvd7xX47wjqmPVy9vGRUPYNWXM1rhJts5WvywNdU2jIF1iJ4Cfi8c48scWnYyXBnZ39cwrA+PwH7gAHXjssn3vILurPsqmemnShe5XrzXpGfX020bErbvuusVr0wiZcvF/jljW+E5rtK9PuVInixsezjzzzBKFpksPkkYJ8D/HUvVM3b9+27bN5fRSHXpLXS8R9XG08Y31fZ/giy6pDYyjPLvU9xYl3tGJ+OxMKolR+Y7afk8q38QDgVknsPD1Ous5ncH8qUGQkcR2Kkq281GyBXTzlBTNx3WRAUVrjehDeRBRr4KGbbvow8gWGMvTSTRUXNMIVMlq1EOchuT+Z+2o6RptUv8IbPMng0pb42tb9ZZgm266aXbHDwoZIfpJ25xwjT6yRc9KUM1v1jxsGTOknOtPxi0Z4LxnJzbmJWCLI/Y42U4v+Rlq8dpzuq7ISDG03Q/y309+8pOkj0I9f3o2nK+Oyrsa0lGUs54MzPAPrfsTDWWTHGky7v264Q1vWMjpPi23qFdQSruLpq5sv/32SWtBSanXaCHNkVd95c+zj/rTM6frPgpG06n69RZ7GjqOU271FntebAvsPN0mxt3mrhudx3lH9N5r/ST1PH/hC1/Ihky9W54v5UHr3chQG9ejasvbIOf1rPlzLNb9Rhy5P8XbVkcOkmaTn3GfeY9zHP4eR5z64Od0jGtSxPOTcHfRvk8iX8TRDYFh9YxBcxHf36X0Ea3Z5u224o8dRKqfNd39Oc95Tk5adaIt6Jtsx8eSFRmEl0vcGKT02vQoz0uc7uPnJnWMowRt17VcTw8at5hKutL3NGrHdupqzU7bqJ7WAFO4MKl2YApZJ0kIzDQBDDAj3h7bdjSvnaAKXz0nUtT1t99++yUtams7KOUFKRW9FHb1BMfeyrZkzzjjjHJJI10UtmmKlBRzl3oPtZ+f1jGOOulngInGk3551RDeto8LrXvg4tON3BCj8zKMyTDiDa379WPbsH1NNXCRAU3rctSNH7oeyzDMfYjD/jVaSgtWtokW8VM6UjRiT5V63TXdQkOUVWZ97D7mMY/Jf/pg0YehzweXUicDxd3vfve2ZFb0eRkL4qLKto1v46igUQs57v3SXG8XGTK0OG2bMUw9cVqIVQYI2wY0ta3R4fEtdVRd5UPU5VeKe5tSGD/o3QCjMDL8ugFGBqQ2A8zpp5+etEivjF9aMHHnnXdW8CzDlltGTheF7feO6P1Qb7Heg2iAGfUdUZ2hjwqtGaCeZ/Vib7vttvnvkEMOyaMa9bHjRi1NWZmUAUb32+NV3dA0us25+Pov+h3X9fLr4xzHfeaV9qj86/mOI6nitdgOxvPjurtq38fNF+G7IzCsnjFoTuJU2KX0kbjehjraYl2m9B7xiEf0GGA0xdjrCrV5cXOFQfM3qr/YwREN0vX4VDdHo1L9+ri/I1/Vh6qr29pW6aNqS9Sx6VO7lH5X+p46OvS3kmUS7cBKLj95h0BXBPrPz+gq1RUer+beqvK+y13ukhc+rRdHQ8htO9ye4fzxwyZ+yOtDLEqcKqJF15qML/owioaaehwxvlHc0VjRz4DSFndUGtTjIwNCXfSBI+PSIKKdiJpEH1xxwVItjimREuLTwsRdH0dNct5556W4por7qe9asP/++zcaXzQEN+4OU++ljRzr9yg2ahqxEtet8Xz40bZVzB/A+gDViBuJdslyw5+MLnVRr7OmTuy4447lUlNZy8UV7tAz4jtEqSgHHnjgREs07v3SOy8DrYttWe7OnqOekxNPPDEby7TDmj/H/Z6lnggafviOYLokw0mb8UX8Yg9tfJ6jMaTtfVT8MsBICdZaWDLEjlPu2MOq3ZXapvno41y7x0kRl/Lta8WM847ImCljjhYctu1BVbQekbH3iCOOKOfigpTlZB9HvzYgGtxe+cpX9gyTj1Fqbr6MaS79FsJ0P8Mcx33mx+GvfEaDW1xHI5ahrW6Pfprc/d6ncdv3pvQ4N/sE2uq1Nj1j0BJFY7U+/vs9s1pM36Xpw12jaXz6uYwer3rVq9x7WROmnOjYETtzZMBoe0djHrvIkuoJbycVv6aMt4lGM6ozQSOLNGpRMil9ry3NQc/3q5MGjaMLf+O2A13kiTghsBoIYIAZ4S7GhkeGFvWW1SVa/dUAx8XX4kgY+YsS53BqOkmTyCAQF15t6x1sCjvIuTiCRR9kcR7yoOFjr4RGA9VFWxPGqVr16/G3Fg2NH9e6JgOOpn75B6MYa8SQRPnfZ599slv//u///q/485PqkdH5Jon3R9e121FdNPRdO6LEnp36fYjxXHzxxT1RiI+2i3SRkaXpOZKRKn5k7bnnnjmIjH8uMtrFnVP8vD5YfZ64zqkHfzWJRhzpw1fTq2SsdNGoNO2GNUkZ934pL3G7ez3/9XdffvRM+zOlnay8l67fs6Rw/SQuoiiDZOxl9XAaIl5fvDG+9xr67iIFV8bLumgxQe3O4aIpTpJRy/2QhzykKNbKt4yP0Sjk6WjbUa8HVH/6bibjvCOed6XRtq2pPqZcVBcMI/F+1p8DTRfzdkAfWfGjzNNQ/RNHfOmZn/Rw9nGf+XH4q5xxDSctZFk3Yp977rkjG1rjSMLYOaJ0x23fFQey8ggMq2cMWkJ1hmgko4tGOGqThbroeT7ppJPKaY1uaZK99967nJZh2qXNsO7XJ33Uh3nMixYjr9dlaiviVO5J58Hji3W09OO4Fpz7UbsXF8T10cGxLpbfUfU9T2fUY8xHXV8cNc5JhBu3HZhEHogDAquSgH3IzpwYaO3nO1a+TjjhhByH4rE1VBbF5WmYorvomp+wbQBLHLvttpufrmxxqUrhPA7r2a7sI7my4aWVwlhPSmUW+XLdPkBKWDlMwS7XzHBQ2dD1yhZLzX4OOuigck3x20K+lQ0xrewDqbIexcoa2Z7r8mNDT3vit22Iix/rje65Fn94/nWsS8y/GTYqlcF6bureWn+/5CUvKXlQ/LZQZWUKTnX88cdX1oPTc03XzWDSE1csg+fT1tupzBBTmeGm2mOPPXrisDV2esKbsl7Z6I/iR5xtq8bKPmjyvbLe9XLN47cpByUO6/ku18XCRtrk+6vwpvRk5h7Oj7pXUWx6VIlDfpRncdR5iTWyPdeVjilglY1YqGz0Q35uPW4dbQHVGH2l++LXFVb5sjWEchltZE4Vy2AfaD1hu/zheRonjfj86V7ZNIzyp/fNlIJSdk9PR/k15bYxafdXf+cPO+ywEpeekTYZ936Z8SCXwfOhMqqu0PttoywqU2ZLPuRH51yWepbcX9PRRmr1xKvnwtYNqGwERWWGu0rlj7w9f3rPotiHQ088ZkSqTFmtzj///Orwww/vuWaG6RJ0nHLbSL+eeG0b18qmU+Xn3ObtV7aLRM91r0c98VHfEduSuyde1f86p3rY1oKpbBpSz3W9b8NIvzZA8dj28j3x28dY9YEPfCCztqmF+Tn3+6SjTVkbJvl8zz18l8/8qPxVGD2bnkcdbdepzEXtiE1v67mm66oTothHWfGj+jSK9YSXawprBtxcN6vdGLd9j+msZrffm3HKOAk9zfOhY5tEfS36GVfPUP3n6av+bhNbBL2SDuJ+lR+946rjzXBdmWGgXJMfG/1SWQdDY3TW0dOjf8p/k47rgaO+JR3VRfWY56dfeOkV7k/uKGaELtfkR+WSrqfyxHffw+uod2xQGZSv4pSOE9NRm6R6Ue2YGat7mKm9U7voEnUlXRtW39P99bTr9ZCnsdRxqTbeDFklDenRUTztum7T5Ed+26TtPRlX92lLj/PzR8Cf1fkr+eISt7+Ji/0u25lJ3KBJNOxtBhiBUKXu+ex3lBHAFnfrYVdX/hRelb7ERkH0NNRtcdtq9z3p2wKrJY2oVIxqgLHpKz3xKx9qWAcV6wlZshxRQR7EANPGwkYNNGZLLJsMLTGeqBRFA4yMINFfmzt+NMtIEEUfnjF+j8OG6xZvtoNBj2LgfupHKQjW613CyWHrUzR+ONfDKg82UqQnbJc/PP1x0mgyCHi8bUcpfHru2sTD1ZWUQQ0winec+6XwNtVsyWdS+awruoM8S4q/TWynrCWfZymOUVm3BR57otP7FOsW51k/ykhs0yR7wo5abkUS64l6WvG3lOy6jPOODJquOA3zUaE89msDdF3x1ev4WNboljFtWFmuZ34c/nqGohE9ltndel5V7+p3/cMn3r+6AcZ6yBvfB5ummVGO074Pey9Wqn+/B+PkfxJ6mudDxzZp+7AcpD7z+Jv0jEENBMqXDNVN+oDH70cZmW1EX1tR8nkb5dHz/Mo43CaxTp+0AUZpKs5+5ZLx2sum4zAyDF+1MXUjTEzX3XoWZEiPMq6+NwkDzFJt/DQNMGI1ru4TeeOeXwL+Hs4vgYWSD1cbLoTr1DWJGxQVXBkT6uJp1D/Goj8ZL9xfHAHjftRzrV459xOPUgZtMcpWxVyjJaJ/uW3x3hy1TRtZNMLD/eojUz0XkjgKJCqYscHrZ4BpU0oUtz72Y8Ot9OsjbeSvn8goFPPoZRAb9fzrI8PP9TPAqJdIoz/crx+Vn6VG5di85EUjSRReeVDjrnQ9vmiAUbnUe+LKvfvxo3qMNNJCvVSRow1n70Gihr5uBLKpFD1+FE/TyCalpbjV8KqBbxL1TDT1BiusjBjqabftuZuCdnbOGY2TgO6Px9N0FBcpW1KgbSpZHnm2VHp+n9zY6f5tjnpJK75Hfr1+HOd+KS7dS4168/zE8ul5axvNMMizVM+r/9bHrOrEJsOW8nHwwQdXNmUtG4g8P7oHdVE8+mhqikfnZAxo67kdtdzKwwUXXNA46kx51YgoKYdt6Y76jig+jTZpexZ1rzQaZ1Tp1wZ4nPqwavuoUN06qmF1OZ/5UfmLgdoIjbSqvyv6rXfI1ijLowX0HNSf134GGMWte1ePN7Yn47Tvin+1i9cT45RzEnqa50PHNvH7rGOUaIAZRc+Io0jqOkxMx93S8eTP8xPzrudXbf0gxly99x5W9W6/MFEHcwOj8hPz3m8EjEaceVr1jgEvlzoZNepZOqPKpj/pbAqretTD1/l7+LZjzOMgfG0XqTxqvImv8qA6o66jedrj6HuTMMAoH/3aeI16cY6xE0/h/Hw/vu5HxzZxbm3xjKv7tKXL+fkh4M/h/JS4vaRr6JIBmSnxxahmMGuNnLTrkXbT0Y4MWtxLi8BqId6lRFsOmrElr3SvxdXiWg0Kq22Ddf3yyy/PO9zYh3xeZHKpeCd5XeuSWKWby6OdXDSfeVjRQr6ak6tdRe5whzukTTbZZMkotKaCL6ZpRqS8cJrWNPnyl7+cxM2Ulfy3ZET/82DDypMN8cwLrg2aBwXVM6h5zboPWptD90ALcMZFNAfJgxhq0V7t5qQ/f8ZjWPu4zQvZKZ9aTFTb/1nP0kDMtV6HwmkhPIW1j7a+29fGdCft9rKtlPd31PKPc7+UpvhoRyHVHVpQWbtKmDK9ZHYGeZbaIjFFPT8j9lGcn2Et+Bp3aGoL13Re27bq3dT7rbxrl664flRTGJ0btdwKq+dci88q/9puXu+Idv/xZ05+2mScd0R1u+6T6nqVU++X3rNxZak2wONX3WfKea5DVX+q/mtaoN39d3Uc55kfh7/S1Zo7quO09oT+BrnnS3HweK33ObdL17jGNRYFGbV9XxTRKjvh/FdyPT9pPWPQWyxm2mFN77R0Ki36rXd6kPpz0DSWw5/ak7Ydhzx96ZC+lpn0p7adJ93/pI7Sm8VX9Y7aCdXbdR27npbuyyT0vXq8w/4ep40fNq1R/I/TDoySHmFWD4HV0G5M6m5ggJkUSeKZKIEmxWiiCRBZZwSoYDtDS8QQgAAEZoLAaqjn0TNGf5RkQHLD0c4775xsmmtjZFpE3Bdit9E4eae8Ro+chAAEVj2B1dBuTOomsQvSpEgSDwQgAAEIQAACEIAABFY5AR85qZFpNjUp2ZS9RSXWaEU3vuiirem0yA8nIAABCMwjgeHnk8wjJcoMAQhAAAIQgAAEIAABCOSpU7beYHrPe96TaWyzzTbZwCIji6ZJfu1rX0u2U10hpelHe+65Z/mNAwIQgMA8E8AAM893n7JDAAIQgAAEIAABCEBgSAInnXRSsgWB8/pMCmq7h+W/ejRa30aGGq11hkAAAhCAQEoYYHgKZpKAFrnUor2SSSx2OZOFJFMQgAAEIAABCEyFAHrGeNi1ELhGuthuVnkNGNtlqSdCjXqxXRrTU57ylLT++uv3XOMHBCAAgXkmwCK883z3KTsEOiDAIlsdQCVKCEAAAjNEgHp+hm7GjGRFu4lpx0k9GzLO0Hk2IzeGbEBgRgjQbizcCAwwCyxwQQACEyBABTsBiEQBAQhAYIYJUM/P8M0haxCAAARmkADtxsJNYRekBRa4IAABCEAAAhCAAAQgAAEIQAACEIBAJwQwwHSClUghAAEIQAACEIAABCAAAQhAAAIQgMACAQwwCyxwQQACEIAABCAAAQhAAAIQgAAEIACBTghggOkEK5FCAAIQgAAEIAABCEAAAhCAAAQgAIEFAhhgFljgggAEIAABCEAAAhCAAAQgAAEIQAACnRDAANMJViKFAAQgAAEIQAACEIAABCAAAQhAAAILBDDALLDABQEIQAACEIAABCAAAQhAAAIQgAAEOiGAAaYTrEQKAQhAAAIQgAAEIAABCEAAAhCAAAQWCGCAWWCBCwIQgAAEIAABCEAAAhCAAAQgAAEIdEJg7U5iJVIIQAACq5zAv//97/ShD30ol3KTTTZJW2211Sov8ULxzjnnnPSf//wnrbXWWmmnnXZauNCh64c//GH6zne+k1O49a1vnTbffPMOUyNqCEAAAinNcz0/S/e/332gbfjvnbr00kvT+eefnz772c+mP/3pT+n6179+uu9975vuec97ztKtJC8QgIARWKMymTUSa6yxRs7SDGZt1lCRHwjMHIF5eX//8pe/pPXWWy/zv/nNb56++93vLuu9uOiii9LRRx+d3vrWt3aS7l//+tf0qle9Km255ZZp11137UnD7/HVr3719Ic//KHn2jg/VOe/853vTD/4wQ/SC17wgp6ojjrqqPSsZz0rnzv++OPTU57ylJ7r/IAABJaPgNcBq11Pm3Y9P6k72nV7Mal8tsXT7z7QNqT0uc99Lm2zzTaL8B155JHp2c9+9qLznOgl0E/f6fXJr3EIzEu7MQgjpiANQgk/EIAABGaEgD549t1333TnO985feITn+gkV1/4whfSFltskV70ohel3//+952kUY/08ssvz711D3/4w9Mll1xSv8xvCEAAAhAYksBytBdDZgnvEybwxz/+Md3//vdvjFWjRZH+BKah7/TPEVfngQAGmHm4y5QRAhBYNQQ09ee4447rtDwf+9jH0o9+9KPWNK597WvnaxtssEGrn2EvfP/7308f//jHW4P5aCN5uOpVr9rqjwsQgAAEIPBfAsvRXkyb9by3DRoxKiOMRKNS3/GOd6Sf//zn6ac//Wnafvvtp317Zj79pfSdmS8AGVyRBFgDZkXeNjINAQhAYHoENFplueVJT3pS0h8CAQhAAAIQcALz3jb87Gc/cxTpEY94RNpzzz3LbxwQgMBsEmAEzGzeF3IFAQhAAAIQgAAEIAABCECglcCf//zncu26171uceOAAARmlwAjYGb33pAzCMw9ga997Wt5nRMtcPuNb3wjqafnyle+cl6fZLvttkuPf/zj01WucpVFnF784hfnXXq0jsnuu++ePv/5z+fpLeedd17SVJc73OEOedeiRz3qUel617veovB+QguznXbaaenss8/Oi+xe85rXTEp35513zovTur9Rjxo6fOqpp6avfvWrOX6V7Xa3u13SvG3N6Vb+o7zyla/sWfRW67McfPDB2ctDH/rQHDb6P/fcc9MXv/jFHPfXv/71dMUVV6RrXOMa6U53ulPacccd02677ZZ8UTSF+9KXvpTOOuusnrVlzjjjjPS9730v73ikNWEkhx56aN4dZN11103Pf/7z87n4T7swvPvd707f/va3M+9NN9003fa2t83l2mOPPdLGG29cvP/2t79Nr33ta9OPf/zjck5zslWuNddcM+233345z7p3H/7wh7Mf8d96662Lf3f84x//SB/4wAdy2rrPv/nNb9LNbnaznO4Tn/jEfHS/8ThMfmM43BCAwGgEVPedcsopOfC97nWv1qkSH/3oR9NnPvOZ7O9xj3tcz+5ns1TPa5HY008/PX35y1/O9ejvfve73Mbc/va3T6qbN9tss0WgND1IZZCoTdJuNa973evSe9/73jzNUjvY7LPPPqWNmrX2QvnWNJcTTzxRzvSABzwg3fGOd8x1sOpr1auaGqP1yvT32Mc+Nrff2XPDv1Hb235tw6Sekb/97W9ZF1D7ol2X1l577bTtttsmPbsPetCD8rQftXcSb7saitj3lBa0f/Ob35y+8pWvJOk+SlO7K+oZUlt94xvfuCf8mWeemXUHte0uel98YexRdkDSYs1qZ6WT6E87KUlfUHtb1xeUpu69ngHJwx72sNzO5x8N/6RHXXDBBflKk99h01ZEesY+8pGP5Dif9rSnpXXWWSe9//3vz7tBaWFiTcm6y13ukvU23acog+o7CiM95e1vf3vSs6bdGLXLlO7LbW5zm3S3u90t7bDDDjFq3BBYmoC9qDMnlmvtzDRz+SJDEIDA0gQm8f6aoaCyXW5yPeDxNR1NIakuvPDCRZlyv2ZgqY455pjWeKxxrqzxXhReJ0yZqkz5aA1ril25ZrsgNcbR76R9fJTwnt/68Ygjjqj+9a9/lWhs7ZXWMK9+9auLP1MQqnvf+96tfj0dM8JUNp2ohDv55JP7hnGPHl78otgHxZL3TWX44Ac/WILZR0XfNP3+vuY1ryn+bBekEt4dZqCr9Dx43pqOtotSpTy6jJJfD8sRAvNMwN+vURmo3vU4zMjQGo0ZfYs/W9uix5+Hn3Y9b0buSm2A56fpqPq+Lv/85z9LmL322qsy40X57XGY0T0Hm8X2QhkzY3nJ87HHHlvpXnje60eVz4wXdQz59zjtbb+2wfPQ5TPyhCc8odpll11KuWOb3VjYhpO6v/3ad5VD7Z5tx11CK10vX9NR+sOg8ve//7164Qtf2Dc+6xSqLrvssp4oox5kU8F6rsUfamtj+6x3xmXUtBXedmosebY15CrrwCq/60we/ehHV2Y48WSrQfUdM3BV0nXq8cXfituMriVuHM0EnFnz1fk6O5NWDm7QfD2ElHZ1EZjE+6vGzOPR0XrPKuv9zMqdjQ7puaYGN35Ui2YM6241oNbD2KjkWM9Tz02wkTaLGlzr6aqsB2jRecU/rAHm/PPP78mjylBX4jzfJ510UsmbuNz1rnftCavf+rOROtmflPq64UiKk5Qj64ldVH7borLE/+lPfzrHFRVBKU2KX+xcPG91A4yMQH5NRxmBnvzkJy/Ks67JSCSxUSo57vgBo3i9XN/61reyv35Kto126UlX8d/jHvfI5Y35kfulL31pjk//RslvCYwDAnNMwN+rURFM0gDjedFxuev5T33qUz11j9K3kSCVDCr1erj+QRwNMLEM0W07wlWz2l7o3kcDTMy3yq42I56TW21CXcZtb/u1DfX09XvcZ0Tlut/97reoLfW0hjXA2CjTHk7Kn9ps6RuxLVb86kRwOeyww3I7Kf+etvx729lk9POw8Sj9SZ0xHoeO0klsxFIlvSeeV/w2GqQEl0HNrysfNhKsXIuO+Awrbpdx0lYc0QDj+dBReqI4xHNyH3744Z50NYi+o7LGeyC39DC935G74tZ5pD8Bvx/9fc3HVQww83GfKSUElo3AuBXspZde2tNoNo1Qede73tXjR417FM+DH9Xo2vDm4sWGEfeEf8Mb3lCuySFjj4eVAUI9IC5SMKSY+HUdhzXASIny8M997nM96nxU/E996lPLdRkSoki587BScusS2ej6xRdf3OPFhjVXz3ve80ocikvnooiXp/G2t70tXspuvyYFJEo0jr3vfe+Ll6pf//rXPT286tmOYtMMSppNPWn9lGwpw54n3Qsbvl2itvnx1UEHHVSuy58rkOPktySAAwJzSMDft1GL3oUBZrnreRlQ9DHpLPTB/Mtf/rIg0cdl/QNR7ZtLkwHmmc98Zv4wlOFdowsks9xe1A0wahPUBrmojAcffHBhJFZuVHc/47a3/doGvzd+HPYZiZ1B0gVsWo5nu7Ipr5U6MDxuPw5jgLHdBns+5G3KdM9ICqVRb6/j6BFlRiPDPG1/ZkomB3BEnaF+/xRcRpb4nMdOG12Po21t6rFOLRKbHlTyaNPsyvVx066/X8qnTS0q8atzLRqXZEDRMxmln75j0wFLvtURqNE6LrrPb33rW8t13QNGwTid5qM/p81X5+ssBpj5ut+UFgKdExi3go1DWqV4tIlGc3haNje3x5uf17GtVyIOt40f/GpgY3ifAhMTkGKtxtj9DWuAiWHryqjSkbFCipD+1Itja72U5JcywMReRxmamkQKiOL2/Nsc7h5v/RQSefRwisPF5vo3nvfrOtp2j9mPlCAp3VFGNcBoJI3nR0cfWRPjloEpDn+2efbVuPmN8eOGwLwR8Hdu1HJP2gAzjXr+jW98Y6l7ZMyNRv7IJRogNNLRpW6AsfWx/FLPcZbbi7oBJo7Y9EKovYyjEaJRfxLt7aAGmGGfEU1X8edcx2h88bLpGHUR+RvGABONK7rPYtUkGknqeal3yoxjgNEzG0dqxXsT8+E6iedBo05dFMbPywhZF7W/Ud/wac+TSLtugGnSp2QU8fzpWO+U6qfv2Bp3JewJJ5xQL1r+rfuheGX8sXVnGv1w8r8E/D7Ao6rYBcmeBgQCEJgdAlosVQvJmXKbbCRIa8ZudatblWvWwBd33WG9h/VT+bc1luW8FrN10YK/LjayIi9A57/9qIVrbVSF/xz6qIXbXLRwXExT5zfccMNkPal5wV0b3ZPWX399977k0ZSEvAjicccdlxfabQqgBQRjHvrxawrfdO5qV7taMsNKvqSFF8Vdi+BGsZ6yZEpX0jbWZgSJl0Z2n3POOSWsKdjpFre4RfntDi0WLC422ig/V1o0b1r59TxxhAAEJkdgGvW8rWVVCqD2QIuoN8m+++5bTvtC4uVEcDz96U8Pvxacsa6e5fbCPrLzQrsLOf+vS+2lFud10QKmLrHt66q99bSGfUa08L+LFo+POoOf19E6jeLPody2bknxb9NjexbFLxfMEfUNLS47iTZb8Yu/jcrKSVknRXrkIx+Z3fV/0kmkm7loYwOXBz/4we5M73nPexa1+3rmpRNItCC16wmTSLskbA4z/qSoF/o1bTygsrnE58/PtR2jPvGSl7wkWSdS3uAh+tc9NMNZXrT47ne/e7yEGwKtBNgFqRUNFyAAgWkQ0K5E9Z2JtM2iDdXNuw/YCIdkc3dT/PA2a3prVpt2n5DnG9zgBiWMLWxX3N/85jeLe5tttinuukM7IIwq2sXnLW95Sw6uxvuWt7xlslE0eTcFraavRvyqV73qSNFLAakrITKEiJ920ZBSab3PyUb2lPj78SueBnBoZwMZfiRHHXVU/rPeoWQLFCYp11tuuWXrR8oA0Td6iQq8jf5p9KOT2hFCf1Gmkd+YPm4IQGAyBKZRz8e2Qjvg2HSEJQujj10ZoZt274sfiTGildJeaMe5tdZaK2a9uOP9sREi5Xxk2FV764nFPPg5Hdt0Ae0C5NIvbzKQyfjkRgYPs9RRhoDYDvdrv2yUSjYAaXckyY9t18B6O79Uek3XtaOTi3YR7PcM2ygY95p1Mf+x3nrrJds0Ib3+9a/Pp2SEicaaGKd2rnSZRNoel456/tpEhhTpQJKo77X59/PqNHLRuysdQgakXXfdNe200055F6y4q6P75QiBpQhggFmKENchAIGpENAWgdqSU6NhvIdmlIxo6+gmiQqwei9cotIlpadNNthgg7ZLS57Xh796tNSj4qKtnrXNtP4k6nHTFsyj9KhIwdCWj7a2TTZWDasYep6GPb785S/PimE0jqm3Tn/arlqKy8Mf/vBkc8jTjW50o2Gjb/T/85//vJzvd7+Kp+CYRn5D8jghAIEJEVjuel5GBNXZLoceeqg7lzzaFIjGj+dNNtmkMexKaS/61eltHQrL0d461GGfEVtrxYOmtnvjHvTxL51lGLHFh4t3tY0aqdlPlIYbYNSZMgkDjOJxkZ5l69v5z77H+OzLo8K5AUadS26AUeePrQuT45KRKm7XPKm0PaM3vOEN3bnoGEenDdPhJJ3C1rNLD3zgA0ucGp38pje9Kf/ppC1UnMvbNnqoBMQBgUBgzeDGCQEIQGAmCOgDfauttsqjRJqMLw960IN6hjS3ZVoN/rCixtVlzTX7V5HDfvB7vBqSLYX9/e9/f7LdDvx0z/Gd73xn0ugRm9+utbp6rvX7odFC2223XR5NIyNM3fgiRc/WX8k9dv3iGeWaeEtZkeEsDjn3uMT26KOPTre97W1THHrt10c5xqHYbUp+W7zTyG9bXjgPAQgsJjBI3TeNer5ery7OefsZW5Ni0UXVy23tzUppL2KnxqICtpxYjvZWSY/yjFxxxRUl120je9zDUtfdXzxGg8uVrnSleKnRHfna2jmNfoY9WZ8mPGj4X/3qVz1et9566zyKVyfV4aIROpIzzzwzH/VPU8rXWWed8ntSaXuEgzB0v8McbVezPL2oTW/65Cc/mWyb86Qp0LaJwjBR43eOCfT/uphjMBQdAhCYDoFjjz02Gx08dc27th1zkm3VmHt/pHjYyvR5Sov7GURJd79LHaUIu9SVDD+vo9JsMg5FP0u5NYxV6wjYrjzprLPOSprfXzfqyBg1TM+aeqKkALnIwGPbn+Z01OP0i1/8Iq+/EofrxhFAHm7Uo9aXUTnUe2hbqKaTTz452ZaNPQqwPl40b9wWoRw1mRJu8803L+44GqacXMKx3PldIjtchsDcEYhTUuqFH8fQUY8r/h63ntdoivhRr9EMyusgf/pYHUVWY3sx7n0YheOgYTQt2GWptkVTo4eV61znOiWIdIml9Bg3aijQRhttVMKO44ijlrQG0SDPr/xIX4kiI6EtFFxOqQNJovbfRUaKKJNKO8bZlVt6qNatk05oW88nW1h7USeTLUacRx13lQfiXV0EMMCsrvtJaSCw4gloaKfLM57xjGx80CJ3GoatkRPey3HZZZe5t6Hm9JZALY44HzyuL1L3roVkRxV9cMgYYiv25yikzGuIq0aO2I5ESQvcReVea7YMIupZ9eG+8i8lSAYeLT4rQ8xNbnKTsshfNB5NygCj3h/bsjv50GoNCX7MYx6TTj311GxkigvvSomL898HKV+Tn5ve9KbltIb2t4nupebqa972K17xiuxtGvltyx/nITBPBOJojziKrc5A9WEXMol6Pi6Oq7pHC3u3/ekD3rbEzWt7DTtaYrW2F7qvk7gPXTwfijN2UvTrBJEuovZsWNGIltjh4u1mUzx6Bnz6ka5Pat2R2H5qWlHb86vz0hOkN8jYEkfjeH4f8YhHuDPrHuqA8c4g2+EpbbHFFuW6HJNMuyfiCf6QUUz313b7yrFq1JLW/zvkkENyJ5OMYhqp7BIX5vZzHCHQRAADTBMVzkEAAlMhIAU1Kjr7779/46J+GhqsUTAu/XpQ3c+gx/vc5z7Fq22pmUeMlBPBEXt2wuklnbZ9Yx6GK+XOtuZMcZizB1YP6Qte8AL/mWLvmpQfFy2aFyUaNKTY7b777vFyccvAE4d+1/nFNAYdpXLKKackLcanniIZXeqikSYawrvjjjuWS3Ee+ShpKqKoJGvnrHpZPDEZsWTw0o4MMlSNm1+PlyMEIDA8gbgmQ6zfYkzane7cc8+NpybmnkQ9b1tPl/xo5GabaOFzjabYdNNNc3vWb2RlPY6V0F7U8zzM70nch2HSG8ZvXH9NHUMyKDSJbYXcdHqgc+pUclEHTJvYVtPFyKPOmbg7T1uYQc5HI4jaxrjzUz38k570pLzujIwxBxxwQP1y3jxB03Uk0uMiF18TJgaaZNox3mHd/XQPdSLpvZWu9pnPfGZR1JtttlkeYewX4ppGfo4jBJoIYIBposI5CEBgKgSiUq4MaLejumjnAA3Fjj1O/XpQ6+GX+i3FJvZoaPRI3Qih0SuHH374UlE1XtdOFz7sWmVoU7qkeLtEJTX2HMuIEueCxzVQ1FMVdxnwuPSxExfC0/kYh37H3q04UkbX2uQud7lLuaT1XTRMty4acRKHUcedpOK97zeSpR6nDDq+e4h2OdCaOXXRtCstAuyi0Ubj5tfj4ggBCAxPII58kOE4jtxTbKqTZECO9fzwqbSHmEQ9r6mWLqeddlo6/fTT/Wc5qs7TDjEu2ip3mNELK6G98LKNcpzEfRgl3UHCyECw9957F69aZDWOvNUFLTjb1OaUQEs41MnkoqnC5513nv8sR7VrBx54YPn9hCc8IalDYxKi50tbQ7vIyNK0RpHWq/NpRfK75557epCeY+R1zDHHlGtNnUGTTrskNqSjn76z/fbbl9g0Fb5JfHclXZNuikBgIAI2vGrmxDL+/9k7E7iLivGPTzuVUkQLLZRKpVJSKSkSRdqIJJQSSUVKadGqTfpbClEheyoqRIuIFlGyRKGyFSVCInT+z2945s457zn33ve99773vvd+5/N53zP3nFm/c84zM89s2nFy5NJFgiAAgc4Eev1+baQhfv8KxxQVxamnnlrYspbCRlQKq9ALm8qanntc1rkuJczv20hR6X7+46abbkrhWKM4f1TYVOAYt4dju9wXtua5uOGGGwob6SwUrj/T1UY3S/47/bCKvOT/oIMOKmyqbmHKkcI2dCtsM7fSc1O0lIIUF4/flEXFAQccUNjU18Jm06T7ei6WNlOnMIVRYQqR4thjjy3ly8Owka9S+LZUqBSOdSBiHKaIiu7cX5Wv0uLPlEaVl+0FE8vOZizF9PhzGz0uxWkKp+RXbuwUqBin7stYIzc9P+OMM0p+VTYerq7iZycxFTZtuLAjMEt5tiOxCzslKvrvJb2lBPADAhNGwL+3XrItuerhSJZIjtnMtOL4448vbBPv9Mzd2CyAUnR+vyqHckeDlvOmhCml0zrHheTpNddcU9hG67Fu8HTqKpnkRvLUn0leNplRri+UH8+D7fXVlIVYF7g71Qu56bW+bVc3eJwzfUesc53yp7AUjuoXG5gp8vrD49HV68k8j+3sppwoxWEnJBZXXnllrLNt0/pSe0Pvic2gKgWn78Ljt+XapWfd/LABj+Rf4SgOm/1bmGK0UNgqVw9fVzsEoTFYGwwrpVfu270XvcZts2xS2uzUx8Z0qY3neZBMyE279o7NnE3+5F/h6J7aanr3bSlS6bnaOZhmAl4GzS4m58lIajkooMl5Acnp+BHo9ftVpe9htLvaSEtyp8Z6btzfTBtdCksKHw+n7mqjN+n5dBUwtnSo2GKLLZL/uvD9XrXTobTZUp4pftUolLEZNVOeeVh+VdptqnByd/DBB0e//u+WW25Jz9yPrrZkKDrxe1W+tl9DSdnh7qpXWx5V2FRdjy5ebelQoftVtzb1Oz5v18iWAynhqn6rv5VvO3khhqd/vaQ3BYIFAhNIwL+tXrJ++eWXd/xm1dH1uKqy0O9X5VCepnYKGLnrVc7bbIHYIfW0tLvaRvJ50mJH3d23U8CMcn3RDwVMr+XQrm5wvr28IxoAqqubPOy8c6970zU2q6bIlZEebvWqd0Tto6rpVQGj8Oy0oimKk2r8+q1BHZuFXE1C6bfN6knfrPxIYdHO9BJ3PxQwndo7VQVoHRfdUztqusq3dlzG8ZmzG8e8TTdP05cU041hBu4poBlAwwsERoRAP77fq6++unYEVGFrNEUjZprFoEaVx2dLZRIBv9eu0WX7gSS/1RkwHpDSUTfKtemmm8Y0uBJmugoYhW/73cQZKXkePN26brnllnHmj6clv6oBlCtQ5F4zg2Rso7xCIzpqrOXhya64bPf+wqbFF7bWOz1XPqrGlgSU+Mq/ZtnIeJrrOg0a0dIocDVu/ZZ7O6WpsFOfqtHF3xpVEsvcr601j88068Xvu1KmGogtWStsD5rkzt3rethhhxW2nKHqpeglvVMC4wYEJoSAf1u9Zled27pZjbqnWST687hmooCZLTlvJ6A0dtIlqzV7smpUh3ne6mRw7n5U64tuFTCaneB5rc6A8XzOtL5tVzd4nL22Be69997imGOOifWuwtKfZoIoX3k5tovH81l31QCEBk+a6m07DXHKzBcPR7MuPJ8nnHCC3572Ve2q6mwcD1f5kqLrgQce6BiuBlfcn/LTjVJipnHrXfK42s2AyWfxVGfAKEPt2jsqX33f3t7z+PyqAUD5x3Qm4Mw6uxx/F/MoiwZkpIxviDSCSRspTiQGAqNIoF/fr75/rbfWniHaB8A65kEbnk33BIl+MLJOetA6X627tso2nhTQj3AVhlXucXM/7StjDZW4uZ5V9CHf66UpLq3VtoZLWHzxxcMyyyxTWheusLRpoNIuZquttlp00xRW3X2deqB8a2PbpZdeOjz60Y+uc1Z7T3s4aB8bpUEnB2jDymWXXbbWbfWm8qTNibVXgv78naq6a/ptjcRgo1rxyEgdUy2efnpWk59e0tsUJvchMK4E/JvsVztNMl6nvEjWrLfeen2Vsd2WQT/kvDaS14lr2p9LG6FrE0+dctcvM8r1Rb/y2I9y6FdaVI8usMACbYNTPbzkkktGN2qntDs9sW1A/3toszTjhvGqx/QOaS+afI+0bsLoxY3qfdXbqr9Vd+u4aKWjX/vOtEvbsOPu1N7RfnIqX20Qrn2s1K4RI0x3BPpdb3QX62i6QgEzmuVCqiAwZwkgYOds0ZFwCEAAAl0RQM53hQlHc5iAjkCXAk0K/K233rpxw/zTTjst2P5FMae2d1ntZsxzGANJh0DfCFBvtFCigGmxwAYBCPSBAAK2DxAJAgIQgMAIE0DOj3DhkLS+ENBsrHz2iy2RKp2QqEg0c3WVVVZJ8dnmtaWTk9IDLBCAQJrN3K+Zk3MZKQqYuVx6pB0CI0iAhvkIFgpJggAEINBHAsj5PsIkqJElsMMOO4QLLrggpW+rrbYK+tOSXC2Zs1MR01HpWn5kmzqHRRZZJLnHAgEItAhQb2QsTAvFHjAtHtggAIEeCSBgewSIdwhAAAIjTgA5P+IFRPL6QkD7u6y//vpxL7R2AWqZ0kUXXRT3BGnnjmcQmGQC1But0p+3ZcUGAQhAAAIQgAAEIAABCEAAAtpAWTNd7ISieBBAlYhmvZx44onhxhtvRPlShcNvCECgkQBLkBrR8AACEJgJATTcM6GGHwhAAAJzhwByfu6UFSntHwHtC3PPPffEvSyknOEEnP6xJaTxJ0C90SpjFDAtFtggAIE+EEDA9gEiQUAAAhAYYQLI+REuHJIGAQhAYAQJUG+0CoUlSC0W2CAAAQhAAAIQgAAEIAABCEAAAhCAwEAIoIAZCFYChQAEIAABCEAAAhCAAAQgAAEIQAACLQIoYFossEEAAhCAAAQgAAEIQAACEIAABCAAgYEQQAEzEKwECgEIQAACEIAABCAAAQhAAAIQgAAEWgRQwLRYYIMABCAAAQhAAAIQgAAEIAABCEAAAgMhgAJmIFgJFAIQgAAEIAABCEAAAhCAAAQgAAEItAiggGmxwAYBCEAAAhCAAAQgAAEIQAACEIAABAZCAAXMQLASKAQgAAEIQAACEIAABCAAAQhAAAIQaBFAAdNigQ0CEIAABCAAAQhAAAIQgAAEIAABCAyEAAqYgWAlUAhAAAIQgAAEIAABCEAAAhCAAAQg0CKAAqbFAhsEIAABCEAAAhCAAAQgAAEIQAACEBgIARQwA8FKoBCAAAQgAAEIQAACEIAABCAAAQhAoEUABUyLBTYIQAACEIAABCAAAQhAAAIQgAAEIDAQAihgBoKVQCEAAQhAAAIQgAAEIAABCEAAAhCAQIsACpgWC2wQgAAEIAABCEAAAhCAAAQgAAEIQGAgBFDADAQrgUIAAhCAAAQgAAEIQAACEIAABCAAgRYBFDAtFtggAAEIQA/yzlsAAEAASURBVAACEIAABCAAAQhAAAIQgMBACKCAGQhWAoUABCAAAQhAAAIQgAAEIAABCEAAAi0CKGBaLLBBAAIQgAAEIAABCEAAAhCAAAQgAIGBEEABMxCsBAoBCEAAAhCAAAQgAAEIQAACEIAABFoEUMC0WGCDAAQgAAEIQAACEIAABCAAAQhAAAIDIYACZiBYCRQCEIAABCAAAQhAAAIQgAAEIAABCLQIoIBpscAGAQhAAAIQgAAEIAABCEAAAhCAAAQGQgAFzECwEigEIAABCEAAAhCAAAQgAAEIQAACEGgRQAHTYoENAhCAAAQgAAEIQAACEIAABCAAAQgMhAAKmIFgJVAIQAACEIAABCAAAQhAAAIQgAAEINAigAKmxQIbBCAAAQhAAAIQgAAEIAABCEAAAhAYCAEUMAPBSqAQgAAEIAABCEAAAhCAAAQgAAEIQKBFAAVMiwU2CEAAAhCAAAQgAAEIQAACEIAABCAwEAIoYAaClUAhAAEIQAACEIAABCAAAQhAAAIQgECLAAqYFgtsEIAABCAAAQhAAAIQgAAEIAABCEBgIARQwAwEK4FCAAIQgAAEIAABCEAAAhCAAAQgAIEWARQwLRbYIAABCEAAAhCAAAQgAAEIQAACEIDAQAiggBkIVgKFAAQgAAEIQAACEIAABCAAAQhAAAItAihgWiywQQACEIAABCAAAQhAAAIQgAAEIACBgRBAATMQrAQKAQhAAAIQgAAEIAABCEAAAhCAAARaBFDAtFhggwAEIAABCEAAAhCAAAQgAAEIQAACAyGAAmYgWAkUAhCAAAQgAAEIQAACEIAABCAAAQi0CKCAabHABgEIQAACEIAABCAAAQhAAAIQgAAEBkIABcxAsBIoBCAAAQhAAAIQgAAEIAABCEAAAhBoEUAB02KBDQIQgAAEIAABCEAAAhCAAAQgAAEIDIQACpiBYCVQCEAAAhCAAAQgAAEIQAACEIAABCDQIoACpsUCGwQgAAEIQAACEIAABCAAAQhAAAIQGAgBFDADwUqgEIAABCAAAQhAAAIQgAAEIAABCECgRQAFTIsFNghAAAIQgAAEIAABCEAAAhCAAAQgMBACKGAGgpVAIQABCEAAAhCAAAQgAAEIQAACEIBAiwAKmBYLbBCAAAQgAAEIQAACEIAABCAAAQhAYCAEUMAMBCuBQgACEIAABCAAAQhAAAIQgAAEIACBFoH5W9bRs80zzzyjlyhSBAEIdEWA77crTDiCAAQgMGcJIOfnbNGRcAhAAAIQGBIBZsAMCTzRQgACEIAABCAAAQhAAAIQgAAEIDA5BEZ6BkxRFJNTEuQUAmNCwEdE+X7HpEDJBgQgAIEKAeR8BQg/IQABCECgLQGvN9o6mpCHzICZkIImmxCAAAQgAAEIQAACEIAABCAAAQgMjwAKmOGxJ2YIQAACEIAABCAAAQhAAAIQgAAEJoQACpgJKWiyCQEIQAACEIAABCAAAQhAAAIQgMDwCKCAGR57YoYABCAAAQhAAAIQgAAEIAABCEBgQgiggJmQgiabEIAABCAAAQhAAAIQgAAEIAABCAyPAAqY4bEnZghAAAIQgAAEIAABCEAAAhCAAAQmhAAKmAkpaLIJAQhAAAIQgAAEIAABCEAAAhCAwPAIoIAZHntihgAEIAABCEAAAhCAAAQgAAEIQGBCCKCAmZCCJpsQgAAEIAABCEAAAhCAAAQgAAEIDI8ACpjhsSdmCEAAAhCAAAQgAAEIQAACEIAABCaEAAqYCSlosgkBCEAAAhCAAAQgAAEIQAACEIDA8AiggBkee2KGAAQgAAEIQAACEIAABCAAAQhAYEIIoICZkIImmxCAAAQgAAEIQAACEIAABCAAAQgMjwAKmOGxJ2YIQAACEIAABCAAAQhAAAIQgAAEJoQACpgJKWiyCQEIQAACEIAABCAAAQhAAAIQgMDwCKCAGR57YoYABCAAAQhAAAIQgAAEIAABCEBgQgiggJmQgiabEIAABCAAAQhAAAIQgAAEIAABCAyPAAqY4bEnZghAAAIQgAAEIAABCEAAAhCAAAQmhAAKmAkpaLIJAQhAAAIQgAAEIAABCEAAAhCAwPAIoIAZHntihgAEIAABCEAAAhCAAAQgAAEIQGBCCKCAmZCCJpsQgAAEIAABCEAAAhCAAAQgAAEIDI8ACpjhsSdmCEAAAhCAAAQgAAEIQAACEIAABCaEAAqYCSlosgkBCEAAAhCAAAQgAAEIQAACEIDA8AiggBkee2KGAAQgAAEIQAACEIAABCAAAQhAYEIIoICZkIImmxCAAAQgAAEIQAACEIAABCAAAQgMjwAKmOGxJ2YIQAACEIAABCAAAQhAAAIQgAAEJoQACpgJKWiyCQEIQAACEIAABCAAAQhAAAIQgMDwCKCAGR57YoYABCAAAQhAAAIQgAAEIAABCEBgQgiggJmQgiabEIAABCAAAQhAAAIQgAAEIAABCAyPAAqY4bEnZghAAAIQgAAEIAABCEAAAhCAAAQmhAAKmAkpaLIJAQhAAAIQgAAEIAABCEAAAhCAwPAIoIAZHntihgAEIAABCEAAAhCAAAQgAAEIQGBCCKCAmZCCJpsQgAAEIAABCEAAAhCAAAQgAAEIDI8ACpjhsSdmCEAAAhCAAAQgAAEIQAACEIAABCaEAAqYCSlosgkBCEAAAhCAAAQgAAEIQAACEIDA8AiggBkee2KGAAQgAAEIQAACEIAABCAAAQhAYEIIoICZkIImmxCAAAQgAAEIQAACEIAABCAAAQgMjwAKmOGxJ2YIQAACEIAABCAAAQhAAAIQgAAEJoQACpgJKWiyCQEIQAACEIAABCAAAQhAAAIQgMDwCKCAGR57YoYABCAAAQhAAAIQgAAEIAABCEBgQgiggJmQgiabEIAABCAAAQhAAAIQgAAEIAABCAyPAAqY4bEnZghAAAIQgAAEIAABCEAAAhCAAAQmhAAKmAkpaLIJAQhAAAIQgAAEIAABCEAAAhCAwPAIoIAZHntihgAEIAABCEAAAhCAAAQgAAEIQGBCCKCAmZCCJpsQgAAEIAABCEAAAhCAAAQgAAEIDI8ACpjhsSdmCEAAAhCAAAQgAAEIQAACEIAABCaEAAqYCSlosgkBCEAAAhCAAAQgAAEIQAACEIDA8AiggBkee2KGAAQgAAEIQAACEIAABCAAAQhAYEIIoICZkIImmxCAAAQgAAEIQAACEIAABCAAAQgMjwAKmOGxJ2YIQAACEIAABCAAAQhAAAIQgAAEJoQACpgJKWiyCQEIQAACEIAABCAAAQhAAAIQgMDwCKCAGR57YoYABCAAAQhAAAIQgAAEIAABCEBgQgjMPyH5jNn885//HL797W+nLG+88cZhiSWWSL97sfznP/8JX/3qV2MQSy+9dFhvvfV6CQ6/0yDw05/+NPziF7+IPp797GeHRz3qUdPwjdNRJ6Bv6/bbbw8/+tGPws033xx+/vOfhyc/+clhrbXWCmussUa0zz//RImyWS+yP/3pT+E73/lOjPcpT3lKWGWVVWY9DUTYPwLIzP6xJKT+EEDO94djP0JRe0oyQuapT31qWGmllfoR7EiFgQxsFYf6ReofLbDAAmHLLbcM88wzT+thF7ZJeF+6wIATCEyPQDGCxnJQ6K/f5j3veU8M18M/9thj+xbFAw88kMK2DkrfwiWgzgSOOOKIxP68887r7AEXAyXg31c/Irn66quLJzzhCal8PezqVd/y3//+935EOfJh/Pa3vy1e/epXF7rOlrnuuutSGeyyyy6zFe2M43n44YeLz3zmM0U/ZfyMEzOCHpGZI1gocyxJLoP7kWzkfD8oTi+MdjIybyufccYZ0wt4jrgetAxsx3fUED3rWc9K9ftdd9017eRNwvsybSh4qCXQz3qjNoI5dHOiliBZRWJl3zLvfe97w7///e/WDWwQgMDIEDjuuOPCJptsEn7zm990TNNhhx0Wttpqq2BKmI5u57KDc845Jyy33HLhYx/7WPjXv/41l7MysLT//ve/D8973vPCy1/+8nDnnXcOLB4ChgAEeieAnO+d4XRDQEZOl9j03MN3erxwDYFJJDAxChgbwQ233nprqYz/8Ic/hC9/+cule/yAAASGT+CSSy4JUqq40TTos88+O1x77bVxCdJ3v/vd8OlPfzo84xnPcCfhW9/6VjjwwAPT73G0fOITnxjHbPU1T7fddlu44oor+homgUEAAv0ngJzvP9NuQuwkIxdZZJEUzMILL5zsWLoj0Ilvd6HMHVe8L3OnrEjp6BCYGAWMRozdHHzwwW4Np59+erJjgQAERoPAqaeemhKy4447xr1fXvOa14RnPvOZcc+X9ddfP85wkGJ1//33T241y82W5qTfWCAAAQhAYDQJIOdHs1z23HNP7QEQ/3bbbbfRTCSpGhkCvC8jUxQkZA4RmAgFjO3PEnz5kTZofcc73pE2ar300kvjiPocKjOSCoGxJqCGXz6D4eSTTw7zzTdfbZ61WdxJJ50UbJ+Y9FwzYTAQgAAEIDC6BJDzo1s2pAwCEIAABAZLYCKODrngggsSxRe+8IVR+fKqV70qzX756Ec/Gt71rnclN02WBx98MHzqU58Kmjb7s5/9LJ6gtNlmm4Wtt946rLvuulO8aX+ZY445Jt3X8oh2J/S8//3vD/fcc0/cgfyAAw4Iiy++ePL7j3/8I1x44YXhJz/5Sdyd/sc//nHcv2appZYKOs3ppS99aWk5hnu0ze3C17/+9fjzTW96U9zl/KKLLgrXXHNNPBFK6dlggw2C8vGSl7zEvdVeH3rooXDxxReHL3zhC0FTLP/4xz/G01C0POR1r3td3C2/1qPd/PWvfx3OP//8cNNNN4Xvf//7YaGFFgqaxSButqlnyKcw1oWhE3A+/OEPR/9aX6s0a3+QnXfeuc459+Ywgeq+TPl3UJct7dy//fbbh/e9733x8R133FFypmU7OjlJe6fstdde8dv92te+Fi6//PJwyy23xHd/8803Dy94wQvSqWi//OUv4/LEyy67LLrRqT8bbbRRnG3T7l3VKU1XXnlljEPvrGbjPOIRjwhrrrlmjOe1r31teOQjH1lKn23WF4466qh4b5111gmbbrppzIu+d03/1n4myy+/fNwLJ19G+e53vzumV2nbddddS2F2+tHLt+xhS65+85vfjHJEJ5joBLINN9wwSMYutthi7mzK9e677w6SQTqFQvwlS3WKlU62EuM99tgjLLvsslP8aQmaylZh77fffuFDH/pQsE23w3333Rdln0ZqVaY6McuNZkgdeeSRYd55541+Hv3oR8dHyv8Xv/jFIAW8mKqcVl111Xiylk7XklzRezVTM9M89lNeIzNnWnr4mw0C/ZbzZ555ZpSR+m7f9ra3xTZGNR/aN8s25o63V1xxxSB57Ma/PSn71f5S+0ZtFt3/wQ9+EORep1vuvffe4UlPepJ7K10lxyXP1T5Ru1AyXAMCV111VWyvScbssMMOYaeddooyr+S58kP+1N5SW09yUvJR7SUtu1UYkmlV841vfCPWP7qvmaE6uU6zv5V+nRiodqLkbicZKX+SjTLKh2aeuvE8qk5TeFoWrAET+VG7UHWYOKlOqpPjHo7atGpPK486RUd1gOqQ5zznObEtapuox3zLvctw99vttVcZOF05rrro//7v/zryzdOvtsj3vve9WA/+8Ic/jKcRqZ5S+1j72qltM91TifLwZZeyU/2Ac889N75P+vbEWn+aYdxk9J6cY/vOyWy33XaxjDSYrXp2hRVWiGmzAwFiu7z6vqhMP/7xj0e/j33sY8O+++4b7XX//va3vwUNtMksueSSsa7O3Wlvv89+9rPhxhtvjP0Hncqod2zttdeO6de3WWf69a7Whc09CPRMwD7MkTOWqbgjd78SZgI97fBt+0bEYO3YtXTPlBCFKVfaRmcVYNvTWOxDT+HlpyBZZyrdN+HXGId1LJI7pccqp+T2K1/5SmEVfnrufKrXt7zlLYUJ1uRPllNOOSX5s0qyeNrTnpZ+V/2bUqowQVjy7z+sIuuYBmu0FNr5vWrEXHmqxue/lbfrr7++6i3+Vnhvf/vbG/2a8qfQqSweFqcg1WKc1ZteFr1Eag2PVKbWkJzyXlfD/utf/1pY46fW3TbbbBPDetzjHlfoW/L0Va86CeCf//xnIdnQ9L7qRKa6UwLsCMfCGuaNYXtcetdt/5pS8q1TkPzpXX7605+efrs/a4xNuefPXvziF5fC6/RjJt9yfgqSKVgK2+C2MT2mhCnuv//+KckwJU1hSw4a/Xl+xN6UZlP8b7HFFtGvysCUyVPCMSXylHsepq7OXWmrY5y7tU5OYR2VKWnodKPXPPZDXiMzO5USz/tBwL+XXsLqp5zPT3Kxjdtrk5WfVilZnJv82zNlb2MdoHzbAQ6512R3JjaYVbzxjW9slEdqhzWdYqf7L3vZyxr9Kg61aa1znOJ1i0598zQcf/zxye73Ol1dRrY71cbDMAVLYYOGjXFIjlun35NWunZqT5sSvvB6W/FV27WlwGp+9CoDZyrHbaCnkYfy4XyVZNUvXqc507qrvhEbdKzJZXe3VN/Z0dKN6dK7lvcL8vaNDbAkf4ccckjtN2EKuKLufVG8eX7Ux2kypohLbvXt5MaUU4X6VHlYVXtde0FhuLte3tU8Ldh7J+Bl0ntIcz8EaUZHzvSzgEwjnz5ChesKBgnoXKkhAdBkVCFWO2SqAE0zPeW+4sgVMKYBTvGr49JkTjzxxOROigw3EtLOQ1elwzTWha25LFVQ7sZGdd1rvOaNCnejqxQX6ijl92S3EwlK/vWjylDu1NhROqr+VennxmYWldyo8ySBr05jlak6vlVz+OGH1/pXB6kat36jgKkSnP3fXi69xHzaaaeVylfvq81UK9pV4k3x5Q05T5uu6oQr3Pxe3lDR+6n3XIqb3I2+vaqR8jJ3o/fT9qwpVPFX41BjR/LHTa6AycPI7VLw6nvNvxmlX/fe+ta3elAdrzP9lnMFTJ4u2SULc1mqe1I853lUws4666wSI/mRwmn33XeP7qvh/u53vyvlp1Nj1UbAYzh5Y028xEh/NnswhifZk8clOa4GfzUPKvfpNvx7zWM/5DUys/Ta8GNABPwb6iX4fsr5fipgPG+6StmsQYCqHLcZuVOynvtzu+S92nQ2W6QkdyRvvD3qAWkgsKocVrySk3VtHjvlzb3Ga66A8fjzq8346UpG1nWoPaI8PLdLzkrmV+tKPf/LX/7iXuO1rj0tv6p76/wrjOnK4V5l4EzluM2a6oqv6ny1hZ2fruofqG2hdnWVgwZXZ2KkSMq/C8Wj91Ft8Gp952lpUsD48/yqMFTPN70vqtvdvS0Vb8xCroi1WWPJnc0cS/4Vjt4z1d/6Hqr86sL3uPPrdN7VlBAsfSPgZdG3AOdwQGOvgDniiCPSB2zLD0pFlSsHJKSajDpS/tJI4Ng0weTUpsYVNgUvPZe7XAGjkXn3q2u1U+EB5Z0GW6Ljtwubtpf8SzNcrbClGc87jRJkuak26CV88/BVOebCT4JflUNu8vCVTltmkR5rRKla2Wkmgkw+q0d5VydSMwzcKC8SpM5HDY+8oq0qn6SBz59LOEuYun9dUcA43eFdvTx6SYHeSzVIPKz8qnfwzW9+cyzrbkaGqgoYVeC5v7pZGZrN4t+aGhj5DDelJVcuaLQ1T1/dqJ/ey9yNLQFMeOoUMGrwa/RJSifF7SZXQsxEGTXTb7lOAWNT29PMQfGwqcmlPOZyQs/zDowUtfm3rPzJfd7wlFI6N3nexVLvh51iV9hSqDgjxsvLpu6ndFSVZXbyXXqmMGxpZB5FlO15OdWVZclD9qMfeexVXiMzswLBOlAC/p30Ekk/5Xze0ex1BozypraeZmq4kZxWveP5VtvDloz743j1Z35V+1OdYDdqe+Uy7p3vfKc/ilcpatyvwrelmqXn8p93nKU8zk1VAaO6UoOLtmQkziT2tl87GanwmjrUeubp86sG7fIZ5LakqOSmqqjKByuUF1sepWCjsaWhhZQNHrZfq3WFu6+79ioD+yHHO/HN2wNSJFTrcs2At8NCShzyWfF1+a67pzraGepabR/bsu3Sc7nppICR0tSW5RVSePjAddP7ks+g0btYZ6SQ8zTqnfc+gr439Vf8md511d9uVE7V+rL63btfv073XfW4uPaPgJdF/0KcuyGNtQJGH3Be2Uko5kajB/4y6JpXBO5OwiB3k08hdDcSBPnoRFXQqBPgYUjgVc0NN9yQnkvguNGyBvena7Wyd3dKt7tThZabqoDyUeDcja2nTP4VTl4ZVCsz/a4aVQx5o0DTd2Vy5Uq1IxQd2D+xy5dp5VMJJSw9X+o01xl1wNyNrtUKps4P9wZLwMuj11j0/XazrEcNbykq5L7O5AoYvad633NTlRP6BqsNPr2n+YhL3kjJlTNqNDWZfMaYL4WUW8XvzHTV6FSTyZUQ+Xfa5D6/38u3XFXAfOADH8iDTvY8fXkebV+clEcpWptMPqVdZZ+bPGyVRXVk1d22a/zaOvWUDo1s1xl1ilQOelea8lnnrx957FVeIzPrSoZ7gyDgMqvXsPsl5/utgLH96qZkTfVAPkNFM5xz40x0lbyvM1KquDu1T91U22Fq29QZ21sj+Vc4Uq64qSpg6vIgt+1kpJ43daj1zNOuq5Qpdeawww5L7vK2n5Tkuf+6NrfCy+tKua/Wx3Vx+r1eZWA/5HgnvnmbVwqrOqPvIh9grA4W1Pmp3svrTA001ZnqEv+8bZMrUFQOGmSpM03vi5SPed/AFYB5GLnffDavZrT6u6LBm1zJl/s/8sgjkzvNZM2N+9d1uu9qHg72/hHwMulfiHM3pKm7eBmdcTHaQNM0pjE7JgSCVdClrGljS5v9ke5pE7eq0QaRbmz0OG6M5b/9qg2ybBaI/5xy1SZVbrSRZNWYFjnd0iahbrQBpylnwuc///nwuc99LmgjqzqjzdncWAXn1ilX0yCH1Vdffcp9bfglPm7yMGzPDL8dTIDFjSrTjf9ZtKGuNsTUxndiqI00ZfJ82UjQ/1yXL2JnIx7ppjaRc6MNe93kR4f7PV21cap1mPNb2MeEgDbl04Zvtj9QsPX0wRqrtTmzpWtx41ZtyqZN99oZG2EMvhGru1M82lDQzT777DPl1CW9p9qc1Y3LFf3WBtSSNXr3lc4mk397prRsctZ2s7pGT1086OVbrgZvjerqrfjbGpbpvjYkdKPNI7WZpTZE9s2S/Vl+1YbCbtoxesMb3tB2Q3MPo3rNZaU2eVSZVePRKXnW+I0bQ7Yrz2rY/c7jTOQ1MrNaKvwedQKDkPO95tkUAHGDz2o41bZe/r1V3Ta1eWxAIB1YoHpEm/3KqJ5zo7aqzfDzn6Wr2mo2Eyfdk1ytM9b5rs1DnduZ3lN9WmfyNpntBZKc5PWzDTQ0tt1sUCP5ma4lL5OZtBv7Lcfr0q/2sjYfPv3000t9kNytvgttnOymWk/5/aardUuDDRjHx6bIie2UOrf5u1T3PL+nDfKnY7RRtNpHbrSRbtXkfaL8yHNTQCan6l/pMIM6o/aaG98I2H/n1+m+q7lf7BAYBIGxPgUp/7AlOFR5Vo12wfePVqcQ2dT4UsNeO9C70ak7TUa7iTcZnVKkSlMnq5gGOO5Cv9pqq0Xnaujnip/8VB/t5q9Opf7c2AhMMA117BzoZBftCp4LKndXd807N9Xn2p1f6ZMxrXV6nCug8s5VcvA/i05q0Z8bW+Lh1njNjxUuPbAfOiHJjY3SuzXuDO8/tCN8nVGZqqGi02cw40nAZpfFkx/0feo0CJ0oYaNU4atf/WqwJX4p03oH9K2pAZYrFJMDs+SKlvz+EksskX42+ZVCtM7opIfqaQ+2NC9+TzoJQO+0jSSFXAGixlGTaYq/yX2392f6LVfDtxl+jScELbPMMsm5jVglu06yUqciV4LbqGawWTzxhCpx0ikaOh3JTS6H/J5f28kyd1N3lQLGZbGeS+GtP50AJzny3Oc+N6y88sp1Xjvem808NslrnabhBpnpJLjOBQL9lPO95lcDO00mb495B7fqVh3eXAmRP1ebRe1FnWgpo5NvbB+teJqcu3v+85/v1tqr2lq2EXB8lsv13LG3MfN7/bav2HD6zBOf+MQUVS7HbcZLut+uPS3Fgxjm9Xvy2MHSqwzstxyvS64GY/IBGbmRIk5tcLXrpajSqUX5++VtBg2Qqh3UZBZddNEYti3HSfx0MpV41hnV2TarK/ZN6p77PdWbMzkZ8JWvfGU49NBDYzDqk9ksrXQCmNps3nZXGvJvJu97Kb9+opKnp+6qPKvdUT1pUm6n+67Whc89CPSTwNgqYHScs2aNuNGopv46GWloc41tXmHYtPdG7+2OylWF+/rXvz64Nl5x2LS5GJZGzr2S0ZF+dbNc1JnTUYKaUaLR/pkazfhpMrl22QW93ErZ46Zd/t2NX2/PjoLVvXwWkLupu7owtuUFSSGkmQ+aZdNk8sq+yQ335z4BfUc2FTX+aQaEOvBSbGhkw98bfUv6tjTTos60+07d/WMe8xi3lq51x37mDqRc1ewOfdNqCMzULL300jP12tbfTL/laqDVhmP+vBMjW+8dbFlPuOSSS1KZ5f67ta+00krdOp3iTgprHa3qCmc50JHU+pORgsn2/YpHYTYp3aLDhn/9yuN05TUys6FAuD2nCPRDzvea4XbfXq5ktqUm8djpqtzrpPzI2yyugMnlUVNn0fOlI4Dd5LNK/J6uM1Uk52F0sucDF7nbvAOsQUM3uXKkUz0nJbvq1OmYfsrAfsnxpvRLMaV60PbIie0Y7wc0uff7UkzYpvL+s/aqgd38vej0Pqk+7cQ6n41TG2nDTV9poIFuzfhSm02zs2TyWfJ5v0ttu1tvvTWFePTRRyd7J4sGderaKNN9VzvFw3MI9Epg3l4DGFX/dVPduklrdXp8vtSgWslWw2unoJAW2M1HPvKRWGnrtx1N7bdrlRQa3VCFr2l2dcoXdRbsSNYURjvLggsu2O5x7bN82uN0OiM+rbY20DY3VQlJAXTvvfe2cVV+tOSSS5Zv8GtOE9A3J4WKZk3ZJteNedEUXVXkWqaXTy/VN2V7N9X6yxWNtQ5meFPL6DQyes4559QqXzTDQiM8nYyUjZ3kTKcwmp7P9FuuhrfIIotUb3X1+wtf+EKQjLTNz2uVL5odY3s9dRVWL9+8Zo/Y0ZnB1r7XLmtTw08jdlpKqcbcdEw/8zhdeY3MnE5J4XbYBAYp53vNW7t6oiqf1Vmsmk4yMp9JYHu/RO/5IFP+vBq2fuduc7meu60bzMuf92pvmlHRLlzb1zA9nm+++ZK9ztLpeZ2ffsnAfsrxunRqUHWzzTaLMy+lhKkqX9QO0CDATBh7fDmL6jvrbvzaNOjkz3Vdaqml8p/TsudLl1zpou8mX6WgJWluqjz8fjdX/55yt71wzMPBDoF+EhjbGTDaO8KN9m5pN6IhYaj9AGTU8VPj3DXM+b4TmlXTZKQ0aDfqvdxyywWt/ZWwlTvFodF8F0aKJ9+PRvFIm6+pprkw0j4sSpv8apRFowhaY6vlGYMw+UhzPoLeKa58hEdptU08O3lJzzUCljce1FDTaEFThVxd7pQCwjInCey0005BI4sytpFrsM1S2+ZDjVV1pm0zt+ROy9pmYwRQEWpGRx63ptFut912cc8Ydfb1p8600uijTPkss5ToAVtm+i33I1ka+VS5upG8s026g9bbS45pxEqNJC3Typchuft+X9WYlCJIS041Aq0lbYrbl6MqPtUFWh//pS99qavoh51HZGZXxYSjESEwSDlfpxRRtvP97dphyPevqrrL24GSWXWK0nzgrupfv/O2os8EydtMnfxrdoabxz/+8W4d+asGDN10ak/my9HdT6drP2TgbMhxzQjPB1S1/HXzzTePS6TFSMt91A5WHeRtBp9JpD3sNFu+nalrQ7dz36ks2vnt5tmLXvSitKTMDkyIy+e05NjfcylfciWQZqvo2/K+j973xRZbrJuoapcfdeURRxCYZQJjqYDRiLivrxVPdeLyj7uOsQSd+9EGWa6AySvFprW2Cq8bJYD2m5ECRkbT3e0UpmjXv9133z2ti/Sb6oR6RS1hZEfXljblcncuxPQ733fBn/dyzTux7UaDxWaHHXYI4qWKJN8YS1w1YtM0qmNHD8blAOqU+ci2hG0ugNWhbppGmU/d7SWv+B0NAtqnwxUwWkbYSQGjVOtdyU0+QpjfH4T9rLPOSsGqw26nDdQqC+0I+uQuXxefbg7YMtNv2ZdO9pI8bSTuRjNdpGSpmxJ89913u7PSXlTpZh8sGiHTOnsphjVSLYWZ/vbbb7+ozLYTPJJCW+nUCHO7EXFP0rDziMz0kuA6FwgMUs43zQrJ5Us7RtUl1Llb7Vflpmmpkdo8UgJplmadyduS3sbMNwjvpHzIl2fkS6Lq4hqle/neXa5YqEuf6krvfNc9b7rXDxk4aDmu+kczbNyojdOkUPH2v9y6AkYDOvn2Ch5O9apBXzcaZNCgjxQzdSZ/H+ue93pPS9I0o8dXGGjAIx/Y0LOq0ZInDVTLqO+h/f2azG233RbrcikzO832aQqD+xCYbQJjuQRJ+6W40UkSnZQvcmtHnrqXuIzAl9BoU0Y30tw2VeB5nO6+etUMGO8oauZLvkxKM1uqRhpiN9IQN63BvOCCC9xZ3695hanNgptGlrRhmBodGkFWBaONwPLZQ1qa0WQ0DVEj4CqnfIM7zSJwk89o8nu6apZQu7Bzt9jnBgFNzXWjd9uVln6v7lp1kzc+6tz3657ev7whacco1ipfNPX6wgsvTNE2fUfJQYMlnwWmdd7TMTP9lqcTR5PbfBNuydo65YsamHnjd7r587jzRmY1DK0zl5J3gw02CKeddpp7SVftEXTiiScmOa0HeSM4OayxzGYea6KPt5CZTWS4P2oE+i3n1eZwkw9u+T1duz2w4IMf/GBjW8c7kQqv3ZLJXJbJrRvt4ZHPtPMDHHL5rPibZiWo7jj55JM9uLSfRrrRhaWdjOzC+4yd5J1oDVw0ldMpp5wy4zh6lYH9kOPt+OYb62pJbpPyRcqHfHB1um0GHTjgbXDVYU3vvvoZuUJvxuA7eMz3gVTfRwPjMkqjVilUjQZI3GiWcZPRXjeaNaQ2n9pH+Qy1Jj/ch8AoEBg7BYz2jMiVIfmxZu2A56cPyZ1v4iltc35yh45arjbqNZp63HHHtQs+PtMoqm80JYHomz5q9/9c2HhA+TpiaYzrBPB5552XNveVv5mMGnh8dVcti/JTWTTTJF9q4e6llPJdznVv2223jY/yYxjVMa3buV2jSWLqRrOE3OQC+6STTop7ffgzXdVhe+c739n3POdxYJ99Aprx4g0Hxa7pq3qX6vZ10TugBnHeiNH7NFujINWZEdpgrmo07V15yL/NphHaqt/q7zy+fEZN1V3d716+5brwpnPPFc/ykx81n4chGZGfFNUPRtVZe3kHQIqWuvXi+eirGsj5yHSe3qp9NvNYjdt/IzOdBNdRJ9BvOZ8vsaxrp33ta18LhxxySFdY1CH1U4ZyDwrDl6vrfl7v5O5k10y66oCd2qeSc2408ObtPCmF85Mm999//zj7zt3qqlkMamvms369vZW762TP65GqjOzkt5fnmoWp2d5utDditR7TgFpdO9P9dLr2KgP7Icfb8c33UlQ/IJ9R5XnTDKjqSVh17R93X3dVG0iHFbg56KCDSgod3VebRPdnw2hw1fs56l95e0h9orqZYvneltUBa0+vvqd88FwD7r3sVePhcoXArBAwgT5yxjKuM1pnlC7Tqka/8m+CtLAlOV2HY5Vp8mtKh8KWCUS/tv6wsA5hemZHBhamPClsqVNhmtkYj6dZV9PGNsZpo+UpHPdjM0tq3duskpJb2zOhsCnxhU2PLWz6XmEbf5aee3gm2FJ4NpKQ3Nhu6+l+1WKCK7mzY3xLj5VXD1tXazQU1lEqbF+Xwo6GK7GxWT6JmymqChO4Jb/WeCiuvvrqwkaACluuUWInxjZToBT3McccU/JvnaYYr+K3jU1Lz5Q2U0iV/PNj9gn4u9JLzNV338O0jWwLq3ALWxZT6F3Lv0u5sQ5zYcsBS1HLnfu3WVqlZ/5jxx13TG70jdaZXD7Y6WjJiS1XTH6VHluCVNiU30Lh2N5MhSlY03NPhyksk399J35f/tsZa1wmt8qrNdIL6yi081J6NtNvWd+6p1FyqMlIxrg7yR43hx9+eLqv58q/rYEvrKFZWGOsyNm6f3HLjW24nMKwRmv+qGS36cjJncKy2YOFbdJc6L6NjpVkji09Kmw6dywvyT3J4vydkr9uTT/y2A95jczstsRw1wsB/057CaOfcv6qq64qffdqp51++umFZJJtAlp6prSrjZeb/NvzvMmfzYiIsqr6fZsiJfce7e7Pr5IlNsM31gU2I6aQvPFnuloHvBSGZFD+XPWd2rS2/Dy2OattnhNOOKHk3474Tf7VNmsy7WSk/JgCJIVjs49LwXj61L5uMnk+1LbMjSmPUtgKS+GoTWlKs8IGO0vPPC7VkdMxvcjAajnPpK5qx1dtXM+Xrmo/2KBxYQO5hd5hlWFeB7lbtZmna8TNBl5SfGoz6L1Q20T1nvoqHr5fbeZVisYGlNJzU5yl+1VLu/cld6u2isfjVxuYzZ2U7KaEKbnX9ygO+h7sZKQp6Vc7JTcex0zf1Tws7P0h4GXSn9Dmdigz03IMOM+9FFDeSH/jG984rZTaFL3Sx67GgZs6xYmnU1dV5v67nQJG4VUrYdvwzaMpXW10v8gVIx5+9WrT90qKDuXDTd6omKkCRmGpEqrGW/0tBrZ0y6OOV5seWEpb1Y//loBUZ6xqxGDXXXdtG3fOHgVMleDs//Yy7TXm888/v9RZ9nCbrvru6t6hQStgbEpx2/fT06sGjNvVsHYzHQWMGvMehl87KW08Hr/O5FvuVQFjM02icszT3HSVzM6f5fIkl+3tFDA2U7A2LpvyHhGoAZfH0WRXw9VOknBsHa/9yGM/5DUys2NR4aAPBPy76TWofsl5vfd5Z9PTl19tyVAh2at73Shgcr+5Xe0yO7xhStZzN53sTR1qW+relXxS51SyLjfdKmA6ych2HWrPVy+dWg1QSBngYVWv1XZvnsdu7L3IwH7I8U58bdZuY96dhd5Pva/+W4NOMzHKT52ixcPVNS+LQSpgNDiWxyvlUzujtFeVjrn/3C4FZ9X4817e1WqY/O6NgJdJb6GMh++xWoKkjXDz9Zs6ZWM6RusQrTOTvPgaRd3QaR02c6O0HMkdatqoNg01gem32l732muv9FxTUOv2Q5ADrSM1bXUwjXxyn1sUn6bmWUUeT+vwZ/kpIvlUSH9ed9UmWe2Mpr1qeYU2q6wzmm5rswLSJrruRvvWaFd56/SV9lXw57pqqq2WJ2m5V9WIgSmOaqcOm1CNy090kglm/AhYIyxOtdbpQe2+LU1rtY5rfP/q3qG6Uyp6pZVv8rv++utH2WAN+9pgJYe0i7/2UNI7K2MK3XhP9ny5VL6PgZ5VjTar07eUG60T11403ZqZfsvdhJ/Lm9yukxskI/OjJvPwtMzTlDzxRKncjSnBk7NcRuX8k4P/WbQO/LLLLovrwvNnvs5dU7t1AoWNkOePk13vmo2uhYsvvrir/cPcYz/ymDPzcOuuOYvqc2RmlQi/R5lAv+S83nt9s0cddVSSs55vyV21M7T5aTenBtnMmXhqnfv3q9qHWpqk/V3ypST+3K+KT+2huvaSzbYM2gemusTE/WqJjs2gmHIqpj+XrNTydS29zfcE0/NcfrSr9zrJyDycdrLW01S9totbbrU/ic2SCTZTJe6jI176s852bO9pab0b3Z+u6UUG9kOOd+KrQypsMKXU3/A8Kr9HHnlk0N4mOqnPTdOeQv686ar8qB6t6w+prlO7vmkvo7zsc3s1rm7fF30/ev/d7Lnnnm6tvSrt2jvv3HPPDaYkqnWjtOvglfyUxVqHDTc7vasN3rgNgZ4JzCM9Us+h9DkACU+ZEUxaTJfWzGoNrtYtqtPVqdMUPfX4T0dl29KjoNOApLDRprXaMHIYRmmRwkSbXWndtYR4t0JMSjKtb9V61hVWWCGemtSuIZPnT/GqE6U1w+poa28Gf1dyd9iHS8DLpN/fr9ZLa2NCbZCt90drfbXxmt6jUTDKr95Nfada32yjTmHFFVec0kjuR1p12pni0Xe37LLLtu0MtIuvl2+5Xbjtnqn8lHbJguWXXz5yate4axdWp2dSfGkDZL0r+vN30/3df//9QSdAaK8GbQKujkE/5Ops5tHzUndFZtZR4V4/CPi3NIpy3mZAxDaaFBnad0R/nt6mvL/73e8OBx54YHysQR91Dm0mQzxcQHLEZVXTaY7y6HGoE+1KcZtFFxXu2utFG+3mg3xNafH7il97DGqfELX7VJ9I3vfTdJKR/YxLYdmMz8YTMT0um/mQBvNUj/ZySk8vMrAfcrwdX7HQRsTqU0hpo1O1Bnmqldrs+ib0bq6zzjrBj0B37qN+Vbr1LmjQSQoZfZNNA9ijnpdJTZ/LyH7XG3ORJwqYuVhqpBkCI0wAATvChUPSIAABCPSBwLjJ+ToFzHQxOZNcATPdMMbZvQYQ1WnWoN3WW2+djiWu5lkn1Nn+W/G2ZkTmJ4ZW3fIbAhCYOwRcRqKAsdnvc6fYSCkEIAABCEAAAhCAAAQgMNcI+OwOzSC3DerjUtBqHjTjx5UveqbT+zAQgAAExo3A/OOWIfIDAQhAAAIQgAAEIAABCIwOAS3b154/F1xwQUzUJptsEhUsUrJoOczNN98c9wHzFGv50c477+w/uUIAAhAYGwIoYMamKMkIBCAAAQhAAAIQgAAERpOAnfIUNyjWLBgZHSKhv6rRMiUparR3DgYCEIDAuBFAATNuJUp+IAABCEAAAhCAAAS6JqBNPf0kO23IPROjE4q0QbpOb8HUE9CmqZrpolOAdJKTn07nrjXrZY899gh77713WGyxxfw2VwhAAAJjRYBNeMeqOMkMBIZPgE22hl8GpAACEIDAIAkg5wdJd3LC1klPOp1H75OUM4M6EW9yiJJTCIwuAeqNVtmggGmxwAYBCPSBAAK2DxAJAgIQgMAIE0DOj3DhkDQIQAACI0iAeqNVKJyC1GKBDQIQgAAEIAABCEAAAhCAAAQgAAEIDIQACpiBYCVQCEAAAhCAAAQgAAEIQAACEIAABCDQIoACpsUCGwQgAAEIQAACEIAABCAAAQhAAAIQGAgBFDADwUqgEIAABCAAAQhAAAIQgAAEIAABCECgRQAFTIsFNghAAAIQgAAEIAABCEAAAhCAAAQgMBACKGAGgpVAIQABCEAAAhCAAAQgAAEIQAACEIBAiwAKmBYLbBCAAAQgAAEIQAACEIAABCAAAQhAYCAEUMAMBCuBQgACEIAABCAAAQhAAAIQgAAEIACBFoH5W1Zso0TgnnvuCddff31M0lOf+tSw0korzUryvvKVr4SHH344zDfffOEFL3jBrMRJJBCoI1AURfjJT34SrrnmmnDttdeGBRdcMCy33HLhFa94RXjSk55U54V7EIAABCAwRgR++tOfhl/84hcxR89+9rPDox71qJHI3SDaSmrzqe0ns+mmm4bFFltsJPJKIiAAAQhAoL8E5rFOTtHfIHsPbZ555omBjGDSes9clyFcdtllYcstt4yu3/CGN4TTTz+9S5+dnf3ud78Lhx56aDj++OPDsssuW/Lg7NXI+ctf/lJ6xg8IdEPA36Fev9+TTz45HHTQQVOiVCP1Gc94xpT73OgvgQcffDCccsopYd111w0vetGL+hs4oUEAAnOaQL/kfCcIRx55ZDj66KOjs/POOy/suOOOnbzMynPPfz/bSttuu2246KKLYvp/+MMfhjXXXHNW8kIkEIAABGaDgMvNXvsHs5HWQcfBEqRBEx6x8M8555w4i+BjH/tY+Ne//jViqSM5EPgvgeuuu65W+aKnq622GpgGTED81fg/4ogjwv333z/g2AgeAhCAAAQgAAEIQAACk0EABcxklHPK5Sc+8Ylkr7M87nGPi7cXX3zxusfcg8CsEPjud7+b4nn6058evv71r4c//vGP4c477xyZKegpgWNoufzyy8Mvf/nLMcwZWYIABCDQO4FBtJXy5VWPeMQjek8kIUAAAhCAwEgSYA+YkSyW4SXq97///fAiJ2YI/I/Ar371q8TiwAMPDM973vPi7yWXXDLdxwIBCEAAAhAYBoFBtJU++clPBv1hIAABCEBgvAkwA2a8y5fcQWBOEvjb3/6W0u0jjekGFghAAAIQgAAEIAABCEAAAnOQwNjPgLn55pvDlVdeGX72s5+FH/3oR+G3v/1t0NRO7W+w2Wabhde+9rXhkY985JSiO+qoo+JpQHL30pe+NJ7CcsUVV4TvfOc74bbbbgvrrLNOWG+99cKuu+46ZSPbPLB//OMf4cILL4ynuWg3/x//+Mfh3//+d1hqqaXCxhtvHMPudkPRP/zhD+EDH/hADH7eeecN73jHO8L88zcX4bve9a6g+JXfVVZZJWhTt1tvvTUl793vfndYYokl4jPlQ0ab3f3nP/8JCy20UNyoNznOLDqR4OMf/3jQPhG33357WHTRReO+HM95znPCbrvtFv1mzqP1oYceCl/84hfDpZdeGtOgclh11VXDWmutFf923nnnsMACC1S98XvCCGjT17/+9a/x3fKsa9+ib37zm/HnHnvsEZZffnl/FN/Vz33uc/G71PetDabXWGON+H1q1oy+sTpz9tlnhzvuuCOeMrHffvuFD33oQ0EbPN53331xg9999903rL322smrNgzT5og6jen73/9+fO9XX331oOVRz3/+88OGG26Y3DZZJDs0uqmTnTTDRyc6PeUpTwk77bRT2xPH7r777hi35Mctt9wSZZm++yc/+clho402CmJS3Uzb0zDd705503cqmenm85//fPxmdTKa9oRxI1af/vSnI3ulTUozMRN/pUtcMBCAAAQ6EZDs/vCHPxxuuummoJklG2ywQdhkk02C2gXdmGHI505tpauvvjp84QtfiDJbbUbJe7V3dKrly172stgGrObt3HPPje1L3dfhC0svvXTVSTwcQfWXWKl9qzae2qKSvdtvv33jCYH9aNNOtz6ZknhuQAACEIDAfwlYxTVyxlKmk5l6Stef//znYu+9947heHh1VzvOtrD9JqbE5W5NMVG8//3vbwzH1uwWtj/FFP+6YccUFgrfw2q6vuUtbylMKVMKQ2G6e6uI4zPbNLew2QDpflO8cqw8uX9T8BSvec1r0m+/79cXv/jFKW6/p3xVjdJ4+OGHN4Yjv094whOKH/zgByWvtolnYR3Vtv6URuvElfzxY24S8HdoJqnX++P+6652JHUK1hSAHd+rN73pTYUpdJIft2yxxRYxHsUnN9W4XvjCF7rTwhQghb6Rqpv898EHH1xYQzj5yS2mqCi22Wabtv5NeVlIZuXGFKHFqaee2taf0qBv1fZ2yr1G+0y+O9ucu218Hokpc2O8OYOq/VWvelXxpz/9yb1whQAExoiAf++9ZOnhhx8u3v72tzfKHFNWFLvsskt6bkryKdENSz57/qttJeWpU9tT7bgvf/nLU/KS1zOSsVUjOZ+3AT0N+fWMM84oVHdUjbuZaZt2JvVJNQ38hgAEJpuAy6HJpvDf3Pem5RgQwX4UkBr/Ho6uroRQ5aNKPX/2tKc9rVClmZv8udtV0W666aa1FaAd2Zx7j8oE96er/NrxicWee+5Z2xmzUeeS/zoFjBwcdthhKe1SqjSZAw44ILmz0f3ive99b2Gj9KVOk5QiuvfWt741BeNprjYq5KDaUVXn1WYHFeLn/nRVA8FmIqQw80aFntsoTWGj9lOUU/JXVUSlQLDMGQL+Lswkwa9+9avjO+lh6GqzROI9vas24heD/fnPf1565+TuWc96VvHyl788us/96z2X8jI3roDJ3eV2m9kRnd97771TvncpS5TOqlIxV9p4XP/85z+nfB/6XpTOakNa/vN0nnXWWaU8Spmrzsjuu+8e5VCeXtnzb07xz+S7s5lGkXWeNsUr9pJ9MlIo5c9ll7xV2iQ38nTpPgYCEBg/Av6d95Kz6oCO2hQ2OyS21zz8/FpVwAxTPnu6qm2lqtJcdc1ee+01pV6T/+qgUy6zqwoYm4lYkq2KV3WG2lO5PFa4av9Vjac3vyqMbtu0edoUBu24KmF+QwACnQi4/OnkbhKej6UC5je/+U2poqqbKaKK3F8EXfORdRV8/kz24447rnjwwQfTO3HxxReX3Nj02fRMFlvCkJ6/5CUvKWx6fum5TbMtttxyy+Rmq622Kj1vUsCows7TVg1XgajTl3eE1GFyk3c8bQmG305XD7vaqLDptKV4jzzyyFJn0ZZWlRoBhx56aAzTlk2V/P36179OccmiRobHqWtdWZU88GPkCXh59pJQzfrycGw5TCkovd9SqPpzKVRtaU7JjRQo/lzX973vfaXn+Xeg52rIakTyggsuiIpG/67y71jxVGd36X3Nv7WqIvX4449P6ZA7m5Ke0iFlo9zn6bQlevG5FMK5oljhVJWTUkblDe8TTzwxhd3rdyd55+myafEpXFlsSWV6pnJQebhRGm15YnquMJgF43S4QmB8CLh8mGmOqm2ZQw45pCTjrrrqqpJsVXxVBcyw5LPy7PmvtpVyuf2lL32phEcKo1xxb0s6S89zJUeugLET6UosNPCVy1VbGlRoFqanSdfvfe97pbDzZ7JPp03ba31SSgg/IACBiSXgcmhiAWQZH0sFjK11TRWRKqUmoxkp/jL4iLe79fu6No3i5rNRNLPFjZYS5P7vuecef1S6qjPn7jTKnJsmBYzcaKTf/X3mM5/JvUV7rhzSSHtu8o7ndBQw+Ywijf7XmbPPPjulSx1DTYNVh9LTWk2Lh/HOd74zuhED2+PGb3OdowS8vHtJfjsFjBQlHoeud911V21Un/rUp0ru7Bjr5C7/DjTqWp3BJoe2L0HJv+2flPznlssuuyy50zvss1j0/ucKEn0fdUbfk+fHvy0pnfyeGuxNJl8eqWnvbnr97topYKRc9bRpdl2dcRml2T7f/va365xwDwIQmMMEXAbMNAu5jJHioc5UZX2ugBmmfFZaPf+5AkbLXevu53m7/PLLoxvVDdVZzE0KmFy5IqV3dca2h6+ZNh6/ZHBu/L6u023T9lqf5OnADgEITC4Bl0OTS6CV87FUwNgGr4U6RWeeeWZx5513tnJbseUKlGrnyF8SXW1jyorP//60zT9TZadps240GnHDDTcUmjIqN01Go+wejyrj3LRTwORLE7S3RNUoLR5udZ1x3vHsVgGj/OSj/E0dUXU8NfXVNv8tzj///NgRrS4V0UyhfCaR0i5/3mmt5oXfc4+Av3u9pLydAiZXAGgKe5PRbIx8NDKfSZN/B+oI1Jkm5Uad2zye22+/PTqRDHAWUvLoO6ozklFa3qdlgloCJCMlrmadac1/OwVG3jDOG/O9fnd556g6AybfJ0b5kqyt7jmgWTFNnYQ6BtyDAATmFgGXbTNNtWZxeBiSdXVGMiRf4pwrYIYpn5VWT3uugNH9XOm+//77F5r1UjXVNpA/b1LA5DM+280S1gxjT5eueTz5/em2aXutTzx/XCEAgckm4HJosin8N/fNR+gYpblqdCJI9VSQBx54INg0zqATfGzqazxVxTbJTVk0HMletay44orVW/H3E5/4xHTfOiDJrtN8tCu9/txYQyLYSH2M3yqzcOONNwZTjvjjaV132GGHYPtARD+XXHJJPDXg8Y9/fPxt01KDToWRsYZAsGVO0d7LP53CopNpZKyxEU+s4HmTAABAAElEQVRNqgtPJ7PY+ufSI53UYrMCIns9sBGa+GfLsoIt+wjPfe5zw8orr1zyww8ItCNgU9PTY1OkJHvVolN79I7p1CEZnUShk7qqRieE1Zn8xDBr2MaTv+rc6Z5OGnMjOSOZofjcPPvZz2485UunOtkSKXcar4svvniwEcz45w9MoRRMaRokPyTHdKqSTmZyk8ugQX53OXNb7hl02pRkzYte9KJ4mpMY65Q3DAQgAIEmArZEJj1af/31kz23zDPPPFGG67SfqhmmfK6mJf+tU+1OP/30eOu0004L+pMst8Gy2B5bd911S/VF7rfObgN1wQ5VSI9sz5Zkr1pMIR5MYRVPR9IzGwwIOq2vaqbbph1kfVJNG78hAAEITAKBsVTAeMHpSFV1bGyENqijMFOjo5rrTH58tRQsVSOlj40WB1sKEWwUu/p4xr/VObPR7qDjeWV01OEb3/jGZI8W+yclTbtjqt1dp6stoUpOmjqryUGNRYqmrbfeOilh5ERH3epPRkfxKj86DnjhhReO9/gHgSYCeWM8V4LWuV9ppZXSbR1FX2dyN/nz3L0Unfrrxkg5IiWFjlN10ymd7q561XHtOnpecef5rrqr+z2o706NfNvbIGy77bYpWtsjINjMvPinm1LCvO51rwuvfOUrkxssEIAABETAlnym9oCUtwsttFAjmCbZOQryuS7RJ5xwQlR85AN8av/pz2ZvRmW1LccOdvplWGGFFeqCKN1THeCmEyu5UxvN6wop6+sUMDNp0w6qPvG8cYUABCAwSQTmHdfMqnLTDBQpKeqUL5qBYXsrdMy+ZnzMxKhxsMwyy4R99tmnVvkipYMtO5hJ0NGP7RWR/LoiRjdyu534lNz0YrHjdZP3xRZbLNm7tay66qrh2muvDXbcZGx8VP1pJEsNk4022iiO8Fef8xsCOQEpIN3kSlC/l1/zmSm2LCZ/lOxLLrlksueWXPGY3+9kt71mopP8u1lkkUU6eZvyXIpVKTtsSV9qUOeONKpqU9bzWyX7IL87xWt7WEXFaZ2M/MY3vhEkf2yvgfD3v/+9lC5+QAACk03AluV0DWBU5XNTBiQPpaDW4F9dG1PKaltuGtZaa61wxRVXNAWT7ufKqQUXXDDdb7LkdWJdnVcnr5vCyu8Psj7J48EOAQhAYBIIjKUCRiPG73nPe1L5aUqm7TYfbE+W2JFRpWQneZSW57RbgpQC6tKi0R1Ny/dlO/KmjojSZftQxKVIUtAce+yxXYY41ZmWNKhzJqPpqRrp0HRTn2lja4bDGmusMdXjDO5oiYSbX/3qV26d1lVLEtSR1HImddw0LddOfiqFoVGbN7/5zaV7/IBAlUA+aqj3qZ3Jla/TXRajaddutKxP33M3f1L+yuTptCOiPaiurpqer6nsbjTyafsJxBl11113XRxBtn0Tgu2V405qr4P87iRXbe+sIEWVloXZyWhTOhy2f0ywfZ9q08ZNCEBgMgk89rGPTRmXQiJfPpke/M+SzyTMnw1TPufpqLNr5rEG2CTHbY+vKLd32WWXuITb3asu2W677YLtf+e3aq++vFwPVZ91aquqHegm5+z3erkOsj7pJV34hQAEIDDXCIylAkZT4d2oQ6+lSHYyUuzQaNTBRxHyTlG7BoCH1e31W9/6Vpp1o9EG260/7h+hZUKamr/00kvHoNTwcGObpbm1q+u8884bXv/61ye3WqKQ7ynje8QkBz1YNJPHjfa3aNdgUOdzgw02CK94xSviXjvyp31ppCTSkiyt6VbHTcuNvvrVrwbbbLQ0E0h7WuQzBzxerhBwAquttppbQ74PQLqZWXz/F93KG7KZk0arRvzc6L1fdNFFG/+kdJUiQrLF5Yv2PnKjZUlNRg1qzf6SUnWPPfaI35eUxW4000X7VkmpvNtuu8Xvy0cxcwVUVYYN6rtTeiU7pQiS0Qit0m6nmcUOhzoASrObXC75Pa4QgMDkEtBMWpdhoqA9tpqMZG+dGaZ8rkuP39OMPztCOvjSIQ1gSW5/8pOfDPfdd19UWrtbKWHy/V38fn7VjBYfbNN9Dzd343btE+bLj3RvuoMOHk7ddVD1SV1c3IMABCAw7gTGTgGjjpAULm7e+ta3Bm3GWTXq+GsWjBtVXP0y2hzTjZ1I1DgT5YILLnBnM7rm+ytouYKdPJTCsRMGkj235CzaKVKqfqQ0cWNHdru1dFV4H/nIR2KDwo7HjsuNtA+EphBLKaNZL1Wj5SQnnnhiqTGWz1qouuc3BHIFzMknn9w4IqhZYb4htahtsskm04KnZYJu7MSNxqU0UhhqY0UpXKSM8L1icgWMnVwRZ6l5ePn1pptuikv0pLiVXZt451PT7XjpULdmX/tO5Yqa/Hvu9buTotRNHq7uqUOx3HLLhQ033DAozVWjDR5POumkdFsz3jAQgAAEcgKa/eHmjDPOcGvpqvZcvqw6fzhM+ZynI7fbqXVBy03VXpLSpWo0M0b73eWzfzsNIigMDRy6qW7Y7vd1VbtLSh0ZKbhyJVW8OcN/vdYnM4wWbxCAAATGlsDYKWDyPR9Uanas65TC067yOrHDKyo56Oesi3y/By05qlPu2HGK4eCDD05py9OSbnawaPNQP5FEHSHvtEnp85jHPKbWd84nnwFU6zi7acdLp1+aTVTn9/jjj09MdfqSFC8bb7xx8idFi0ZRqkZhef410pNPLa665TcEtP+Rj55K2Vqn2NM3ni9ns2OiGxWhTUR12piW/shIKag9jOq+ZS1v9NlsSpdO9pLR9O98r6aDDjooVNfka9aKL1mSH1ecev50T/up1Bkpl/ONHnMZ1ut3l+8jUFWIbr755ik5ynudyUetJWsxEIAABHICuWyUwvaGG27IHwcpmDWrztsGpYf2Y5jyuZoW/62BJjdqj+Un9vl9zZDJlwlp9mAnI1nvRqzyQT6/L5l7yCGH+M84m7IfhzAowF7rk5QoLBCAAAQg8F8CNp185IylTGdCzzhdNjIb/SsM60AVdjRyYVNCC+usFTaSXdj+KOm5x2WbwJbi8/vWESrdz3/YaHUKZ/vtt0+PbLQ73Vc4tva3sKU1hVW6hW3OVliHq/Tc47KGRm0Yts9Dul+12AlLU8K6+OKLq87Sb2v0JPem7ChsX4nCNoRLzz0t1Xxbx7OwDeWSX3E988wzC9tzpjDlT2FLntIzhaF7MrYso1BYHq6NDBU2KyGWh/gpDIXlz03Rk9KCZW4S8LLsJfV65z0cU2JOCcqO+UzP5c5OlSj03l9zzTWF7TtS2Oho6bntl1IKwxSX6bktDyo9y3/YDJPkTvHYEaCFzTYrbG1/YXs6FXk4ep5/SwrHlBcl/5I9CvP6668vbGlOYUt10nN9B6bIidEffvjh6b7ClXzSt2ZLkQobZS1MUVN6LjcK202v353t7VIK32bhFPo2bTZMUZVvkn26p7TZsqTCOk0lvzbT0JPFFQIQGBMCkjn668Ucc8wxJVlhgzRRhphiubCDEkrPFJcNXJWiG5Z8ViI8/9W2UlWmq82p+kLtT8nCvH1qAwOl/Njm5ilctVlzU5X5qiNUN5qSJ9Y7eTtLdYnqgNw0pTd309Sm7bU+yePADgEITC4Bl0OTS6CV895qz1Y4fbX1WkC2pjZVYh5W3TVXGki5kBt3X61cczdNlZWN3BTqlHgYTVebJVKoAvbn6pC5yTs57RQwNtKf/Cscpfehhx7yYKZcqx0r+VFl7cbTUpdv28tmSsfW3edXNThyc+mll5bSmLvN7TYtt7DTEXKv2OcgAS/TXpLeSQEjRYDtqdTVe2VHwU9JSq44aaeAkUeb5dFVPDbjZko8uiGFTd44dj7Vq5QXbmymWCEFadVN9XeVgZ3A5EEUvXx3t9xyS23cNl0+ht8tE5vlF5U2KVFYIACBsSDgsqiXzKitZKel1coaD9+WcqbnVQWM4u5WFvVTPiteT1+1rWT72ZQGldxd9Sr5bsszFVQy7RQwNlO4sD0EU7zV8Py32nNqA1eNP6+mN3fX1KaVm17qkzwO7BCAwOQScDk0uQRaOR9LBYyypxHvfMaGF7qumpFiG5kVNv2/1DHSaLUbd9+usrINPlNlmM+AURiazVIdxfYw1aDQzBU1Pj74wQ+mMHJFS7cKGMVlG3emMNTh6WQ0mu5p8ev9998fvXlHMVfK5OHZRrpx1oy7c/+6ind1poH71eh9U+NBPI4++mg6ag5rjl/9neglG5pt4eHo3Wky+k5yJab70dWW4k1p4Ho422yzTQo//+79efWqGSt1M+cUj2Z12f5LUZ5U/flvOwmjyOPM06mRzdttdlzV6J7ykLt1u0ZZXWGTu7E9AErB9PLd1SmOXEks2amZRnnnyNOmq2SB/GMgAIHxJODfe6+5syU5hS2dmSLn1Maw/U4KyTSPq04Bo/iHIZ+9DVTXVrrjjjtK7TJPv65yr5nItiHvFHS5LHdld+5IM5HFRGHkYcqu9Gh2dXXmi/t393LXZNq1aeWnl/qkKU7uQwACk0PA5dDk5Lg5p/PokQEZKeMbQPaaNPnX/iLWkYnriLVpmzaIzDeiHXTGdfKP4tcu/9pIc/XVVw/aeLafZttttw06PUhGu++vueaaHYPXqUtKl05sWXbZZcPCCy/c0U/uQGx1JLWO09aeN6usskraLyN3V7Wboif60ekt2qdGae03j2qc/J5dAv36fqeTaq2r10lBd911VzxlzBQDtRvXTifMOrfaw0Wb+1oDO+7xoqOmdbqS57nOT35Pe8jcdtttQev1dbqYvhtrEOdOpthtVkv8VnUcqzbAlRzTZr/TMTP97rQPg9KqdOv0tkc/+tFTotW3LDmgOJ74xCcG7bcz3fRNCZQbEIDASBNwmddrO80zqbaSNqRVm02bx2ovOI/D3XS6DkM+t0uT0iN5r6OoJRMlG9Xe6odRvaBT/sRNe+etvPLKId/jrx9xNIUx0/qkKTzuQwACk0HAZXq/6o25TG2sFTBzuWC6TbuOJFTlK6NTSWwPjG694g4CAyGAgB0IVgKFAAQgMDIEkPMjUxQkBAIQgMCcIEC90SqmsTsFqZW18bfZXi9h3333TRndZ599kh0LBCAAAQhAAAIQgAAEIAABCEAAAqNDgBkwo1MWXaVEUz91bKGWPdgGbun4W82C0dIIpv53hRFHAySAhnuAcAkaAhCAwAgQQM6PQCGQBAhAAAJziAD1RquwUMC0WMwJm/ZiWGCBBaak1XavD2uvvfaU+9yAwGwTQMDONnHigwAEIDC7BJDzs8ub2CAAAQjMdQLUG60SZAlSi8WcsM0///xxIzdPrJ2GEux4QJQvDoQrBCAAAQhAAAIQgAAEIAABCEBgBAkwA2YEC6WbJOnkES030slKGAiMEgE03KNUGqQFAhCAQP8JIOf7z5QQIQABCIwzAeqNVumigGmxwAYBCPSBAAK2DxAJAgIQgMAIE0DOj3DhkDQIQAACI0iAeqNVKCxBarHABgEIQAACEIAABCAAAQhAAAIQgAAEBkIABcxAsBIoBCAAAQhAAAIQgAAEIAABCEAAAhBoEUAB02KBDQIQgAAEIAABCEAAAhCAAAQgAAEIDIQACpiBYCVQCEAAAhCAAAQgAAEIQAACEIAABCDQIoACpsUCGwQgAAEIQAACEIAABCAAAQhAAAIQGAgBFDADwUqgEIAABCAAAQhAAAIQgAAEIAABCECgRQAFTIsFNghAAAIQgAAEIAABCEAAAhCAAAQgMBACKGAGgpVAIQABCEAAAhCAAAQgAAEIQAACEIBAiwAKmBYLbBCAAAQgAAEIQAACEIAABCAAAQhAYCAEUMAMBCuBQgACEIAABCAAAQhAAAIQgAAEIACBFgEUMC0W2CAAAQhAAAIQgAAEIAABCEAAAhCAwEAIoIAZCFYChQAEIAABCEAAAhCAAAQgAAEIQAACLQIoYFossEEAAhCAAAQgAAEIQAACEIAABCAAgYEQQAEzEKwECgEIQAACEIAABCAAAQhAAAIQgAAEWgRQwLRYYIMABCAAAQhAAAIQgAAEIAABCEAAAgMhgAJmIFgJFAIQgAAEIAABCEAAAhCAAAQgAAEItAiggGmxwAYBCEAAAhCAAAQgAAEIQAACEIAABAZCAAXMQLASKAQgAAEIQAACEIAABCAAAQhAAAIQaBFAAdNigQ0CEIAABCAAAQhAAAIQgAAEIAABCAyEAAqYgWAlUAhAAAIQgAAEIAABCEAAAhCAAAQg0CKAAqbFAhsEIAABCEAAAhCAAAQgAAEIQAACEBgIARQwA8FKoBCAAAQgAAEIQAACEIAABCAAAQhAoEUABUyLBTYIQAACEIAABCAAAQhAAAIQgAAEIDAQAihgBoKVQCEAAQhAAAIQgAAEIAABCEAAAhCAQIsACpgWC2wQgAAEIAABCEAAAhCAAAQgAAEIQGAgBFDADAQrgUIAAhCAAAQgAAEIQAACEIAABCAAgRYBFDAtFtggAAEIQAACEIAABCAAAQhAAAIQgMBACKCAGQhWAoUABCAAAQhAAAIQgAAEIAABCEAAAi0CKGBaLLBBAAIQgAAEIAABCEAAAhCAAAQgAIGBEEABMxCsBAoBCEAAAhCAAAQgAAEIQAACEIAABFoEUMC0WGCDAAQgAAEIQAACEIAABCAAAQhAAAIDIYACZiBYCRQCEIAABCAAAQhAAAIQgAAEIAABCLQIoIBpscAGAQhAAAIQgAAEIAABCEAAAhCAAAQGQgAFzECwEigEIAABCEAAAhCAAAQgAAEIQAACEGgRQAHTYoENAhCAAAQgAAEIQAACEIAABCAAAQgMhAAKmIFgJVAIQAACEIAABCAAAQhAAAIQgAAEINAigAKmxQIbBCAAAQhAAAIQgAAEIAABCEAAAhAYCAEUMAPBSqAQgAAEIAABCEAAAhCAAAQgAAEIQKBFAAVMiwU2CEAAAhCAAAQgAAEIQAACEIAABCAwEAIoYAaClUAhAAEIQAACEIAABCAAAQhAAAIQgECLAAqYFgtsEIAABCAAAQhAAAIQgAAEIAABCEBgIARQwAwEK4FCAAIQgAAEIAABCEAAAhCAAAQgAIEWARQwLRbYIAABCEAAAhCAAAQgAAEIQAACEIDAQAiggBkIVgKFAAQgAAEIQAACEIAABCAAAQhAAAItAihgWiywQQACEIAABCAAAQhAAAIQgAAEIACBgRBAATMQrAQKAQhAAAIQgAAEIAABCEAAAhCAAARaBFDAtFhggwAEIAABCEAAAhCAAAQgAAEIQAACAyGAAmYgWAkUAhCAAAQgAAEIQAACEIAABCAAAQi0CKCAabHABgEIQAACEIAABCAAAQhAAAIQgAAEBkJg/oGE2qdA55lnnj6FRDAQgMBsE+D7nW3ixAcBCEBgdgkg52eXN7FBAAIQgMDcJ8AMmLlfhuQAAhCAAAQgAAEIQAACEIAABCAAgREnMNIzYIqiGHF8JA8CEKgS8BFRvt8qGX5DAAIQGA8CyPnxKEdyAQEIQGC2CHi9MVvxjXI8zIAZ5dIhbRCAAAQgAAEIQAACEIAABCAAAQiMBQEUMGNRjGQCAhCAAAQgAAEIQAACEIAABCAAgVEmgAJmlEuHtEEAAhCAAAQgAAEIQAACEIAABCAwFgRQwIxFMZIJCEAAAhCAAAQgAAEIQAACEIAABEaZAAqYUS4d0gYBCEAAAhCAAAQgAAEIQAACEIDAWBBAATMWxUgmIAABCEAAAhCAAAQgAAEIQAACEBhlAihgRrl0SBsEIAABCEAAAhCAAAQgAAEIQAACY0EABcxYFCOZgAAEIAABCEAAAhCAAAQgAAEIQGCUCaCAGeXSIW0QgAAEIAABCEAAAhCAAAQgAAEIjAUBFDBjUYxkAgIQgAAEIAABCEAAAhCAAAQgAIFRJoACZpRLh7RBAAIQgAAEIAABCEAAAhCAAAQgMBYEUMCMRTGSCQhAAAIQgAAEIAABCEAAAhCAAARGmQAKmFEuHdIGAQhAAAIQgAAEIAABCEAAAhCAwFgQQAEzFsVIJiAAAQhAAAIQgAAEIAABCEAAAhAYZQIoYEa5dEgbBCAAAQhAAAIQgAAEIAABCEAAAmNBAAXMWBQjmYAABCAAAQhAAAIQgAAEIAABCEBglAmggBnl0iFtEIAABCAAAQhAAAIQgAAEIAABCIwFARQwY1GMZAICEIAABCAAAQhAAAIQgAAEIACBUSaAAmaUS4e0QQACEIAABCAAAQhAAAIQgAAEIDAWBFDAjEUxkgkIQAACEIAABCAAAQhAAAIQgAAERpkACphRLh3SBgEIQAACEIAABCAAAQhAAAIQgMBYEEABMxbFSCYgAAEIQAACEIAABCAAAQhAAAIQGGUCKGBGuXRIGwQgAAEIQAACEIAABCAAAQhAAAJjQQAFzFgUI5mAAAQgAAEIQAACEIAABCAAAQhAYJQJoIAZ5dIhbRCAAAQgAAEIQAACEIAABCAAAQiMBQEUMGNRjGQCAhCAAAQgAAEIQAACEIAABCAAgVEmgAJmlEuHtEEAAhCAAAQgAAEIQAACEIAABCAwFgRQwIxFMZIJCEAAAhCAAAQgAAEIQAACEIAABEaZAAqYUS4d0gYBCEAAAhCAAAQgAAEIQAACEIDAWBBAATMWxUgmIAABCEAAAhCAAAQgAAEIQAACEBhlAihgRrl0SBsEIAABCEAAAhCAAAQgAAEIQAACY0EABcxYFCOZgAAEIAABCEAAAhCAAAQgAAEIQGCUCaCAGeXSIW0QgAAEIAABCEAAAhCAAAQgAAEIjAUBFDBjUYxkAgIQgAAEIAABCEAAAhCAAAQgAIFRJoACZpRLh7RBAAIQgAAEIAABCEAAAhCAAAQgMBYEUMCMRTGSCQhAAAIQgAAEIAABCEAAAhCAAARGmQAKmFEuHdIGAQhAAAIQgAAEIAABCEAAAhCAwFgQQAEzFsVIJiAAAQhAAAIQgAAEIAABCEAAAhAYZQIoYEa5dEgbBCAAAQhAAAIQgAAEIAABCEAAAmNBAAXMWBQjmYAABCAAAQhAAAIQgAAEIAABCEBglAmggBnl0iFtEIAABCAAAQhAAAIQgAAEIAABCIwFARQwY1GMZAICEIAABCAAAQhAAAIQgAAEIACBUSaAAmaUS4e0QQACEIAABCAAAQhAAAIQgAAEIDAWBFDAjEUxkgkIQAACEIAABCAAAQhAAAIQgAAERpkACphRLh3SBgEIQAACEIAABCAAAQhAAAIQgMBYEEABMxbFSCYgAAEIQAACEIAABCAAAQhAAAIQGGUCKGBGuXRIGwQgAAEIQAACEIAABCAAAQhAAAJjQQAFzFgUI5mAAAQgAAEIQAACEIAABCAAAQhAYJQJoIAZ5dIhbRCAAAQgAAEIQAACEIAABCAAAQiMBQEUMGNRjGQCAhCAAAQgAAEIQAACEIAABCAAgVEmgAJmlEuHtEEAAhCAAAQgAAEIQAACEIAABCAwFgTmH4tcdJmJf/7zn+Gyyy4LP/vZz8Kdd94Z/vSnP4UVVlghPOlJTwprr712ePrTn95lSDibLoE///nP4dvf/nb09vjHPz6sv/760w0C9xNK4D//+U+4/fbbw49+9KNw8803h5///OfhyU9+clhrrbXCGmusEe3zzz84UfbTn/40/OIXv4j0N91007DYYovNiZK4/vrrwz333DPn0j0n4M5iIouiCD/5yU/CNddcE6699tqw4IILhuWWWy684hWviHXXLCZlKFF95StfCQ8//HCYb775wgte8IKhpIFIZ49A3lZQrBtvvHFYYoklZi8BczimSZAVt912W7j11ltjKc3k3VCdqLpR5qlPfWpYaaWVop1/o0OAtsvolAUpGSABE9gjZyy7hf76Ze67777i4IMPLh71qEfFcD386nWrrbYqrJHbr2j7Hs7f//734uijjy4uuuiivoc96ABvuOGGxP5lL3vZoKMj/CES8O+qH0m4+uqriyc84Qnp3fGwq9djjz220PcxCHPEEUek+D/zmc8MIooZh9lOJrz4xS9O6f7hD3844zjwOFwCJ510UirH/L23RupwEzZLsXueVX/Xme9+97vFq171qrpH3BsgAS+Xfkfxnve8p/S+S7ZjuiMwKrKiXb3UXU6aXZ1wwgnp/TjrrLOaHTY8+frXv578v+ENb2hwxe1hEqDtMkz6g417UPXGYFM9mNDHfgnSjTfeGGdbnHjiieGvf/2rlX2zufTSS8NGG20UPvnJTzY7GtKT6667Lqy55prBOoPh/vvvH1IqiBYCs0fguOOOC5tsskn4zW9+0zHSww47LJgCNVjDr6PbcXGATBiXkmzOh8r4oIMOqnWw2mqr1d6flJvWJAr77LNPeMYznhGuvPLKScn22OfzjDPOKOXxve99b/j3v/9dusePqQRGRVZQL00tG+5AAAIQqBIYawWMlC9aVvTLX/4y5XuXXXYJUrRoGuMf/vCH8P3vfz8cf/zxwUbXkptdd9012CyT9HsULJdffnkpH6OQpumk4RGPeERyvuiiiyY7FgjUEbjkkkuClCpuNFX47LPPjkswtATJRr3Dpz/96dj5cjff+ta3woEHHug/x/7aSSbkMi3//sYezBhlUO+5G9VlNnob/vjHP8YltHn5uptxvD7ucY+L2Vp88cVL2dOypNNPP710jx9zm4A67768xHOidtqXv/xl/8m1gcCoyIpO9VJD8rkNgUQgr9touyQsWMaMwNgqYDQS/vKXvzwVlz5oKVs0u+X5z39+WHnllcNSSy0V1l133XDIIYfESl97wbh53eteF/7xj3/4T649EtBeHRqx1N9HP/rRHkPD+7gTOPXUU1MWd9xxx7j3y2te85rwzGc+M+75oj2E9H2rwb7//vsntxo9/e1vf5t+T7JFss6/Ock7zNwj8Ktf/SolWsrF5z3veWHJJZcMyy+/fLo/7pbf//738T3+9a9/Pe5Znfj8fexjH0sMbNl4sqNoSygaLciKRjQ8mGMEaLvMsQIjuTMiMLYKGFtHXBpJ0eaFUrY0maWXXro0yqJRl8997nNNzrkPAQgMiICUBldccUUK/eSTT44bcKYbmWWeeeYJtu492D4x6a5mwmAgMA4E/va3v6Vs+EyQdAMLBMaIwAMPPBB8+ZEGzN7xjnekmcmatayZj5hmAsiKZjY8gQAEIDBqBAZ3dMgQc6oOnG3OlVLw9re/Pe52nm40WFZdddXw6le/OvgojKZ777bbbtH1v/71r2CbwUX7iiuuGF772tfWhqJGwic+8Yn4bPPNNw/Pec5zSu4eeuih8MUvfjEug9JUW43WK16d6KK/nXfeOSywwALJj2btyH2+xv3zn/98VC7pVAjtCZMbnRgjxdF3vvOdeGrM7373u3hSzDrrrBNHT7VrfJ1RmpV2na6x1157xZOivva1rwVNJ73lllvCZpttFpQfnULhJxJoaZemButkKblZZZVV4h46mpGwyCKLlKJRPj/84Q/He6uvvnqanaSO9lVXXVVy2+6HOtz77bdfSoO7VZlr2ZgUbWKmU3MUj6bta8bThhtu6E65jjiB6nr/6tKDavL1vWy//fbhfe97X3x0xx13VJ2k37YZdPz2fvCDHwT9SXGj2TSaWaMw9H7N1PQatk5a+vjHPx5n9ej91VI97fMhGSI5tNBCC8WkdSsTzj333LjUUp5ss8EgJbOMZhJ85CMfiXbb7C5+IxdffHGUGbbpcdwrS/tq6E/ysN0UYCmq9V1L3ij94ql9exSuuGofH8m8djIzJiT79653vSvNPtSsp3anVNimyFH2yPvee+8dlllmmSykEKSMU95+/OMfR3c6PUuKeOVthx12CPPOO3UMQvLMlXjt4j/zzDPj/kR6/972trel8lHZnXPOOTEd2223XdAJXepYSpbq1D29Z+K68MILl9Ka/zjllFNiOWiGlxuF+c1vfjP+3GOPPUqzYHQ6mOoInfCn08Ikb1Vu2jdMslv11SMf+UgPKpaV3jWZxz72sWHfffdNz6oWdeykBJXR7BvJ39z85S9/icsDb7rppjhTTTNH11tvvXiyoPKazyx1f1o+dNRRR8Wfqpt0upi+3wsvvDBy0UwfvbPLLrtssI3ng+o1vf+HHnpo9KP0KF432hftyCOPjD81Y+5pT3uaP4pXvfPnn39+UBr1/SgsvZ96F7QsuVpflTzzY1YIXHDBBSmeF77whVH5Ypsrp2Vmmjkr2dAP062srcY10/aV5Krak2qzaSabZmir7aRvVrJTp3BKzqt95d+LTumU7FIbSW70Lei9fstb3hLliKdturJipnnQEuA7rG7VKYCSAR/60IfCeeedF+yQiyhP9c2qHdhtW1VyQt+7TnjTSYOS0ar7NTNd7dSXvvSlpSXGnt/q9a677or1pk7ZlPyTPFF77yUveUliWfXTze9e6/NOcegd+OxnPxu0VYJkksrb5aZkmOrM3Ii9ysCNvpG6dq3KQ/smqU0so5nCagvn9b4dhBHfIdWf4qb3S7JdS71333338KxnPcujqb3OtL3d6R1SPaRvoantkidmuvzcr+od1T+qG/WOqc/g35i2ptD7o3LQVhT65toZcdNsHb3DmoGm/tNTnvKUsNNOO7U9sW+m/NqlhWdzkIC9CCNnDKMkx4zTZR9U9O/h2JHTXYdljefCKsbC1tmX/NjoTArTKsjSs/xHux3WrZFYmEIghePpy6/WMSisMkpBmjKorfvk0CzWWO8Y/pve9KbCNiPOvUX7NttsE+OxUdbCjv1sjNMEc2HHeRcmtBtPldKpNVYpluJoOgVJpzrl+e/GrvLNzd13313ku6bXhaFTsKzCz71hHxAB599L8DqRzMMxhV5hDbO2wemd1mlnTe70ztqeMilMDzu/WoOmMIXllHg6nYLUS9iKTGk+/PDD26ZN35QpjGLaupUJ+TeRn4IkOeH5/sAHPlBYQyP99vt+lbyyzsoUJrphHaZGf/JvSockI7bYYovaMOpuWoc4hSv2TebBBx9M4Ss+lb8bU0AUOm3N81F3tQ5PIXlfNZ3K291LFnq4tlG03y5MSZLu2/LWUhrdfVWGJc//s6i83W3d1U/rsyN7C1M8tXUr/6qzdFqQG9VFebjWuPdHU66f+tSnklvr1JSem+K+UJ2Rh1W16z2wTl/Jnw1oJD8q77p60ZQs0Y+HZ7MiUhjt4rTli8mdLLZXVG0ZeLhiMyknSpXA9PjD+fUYTPKu79HDVJnJqJ3h91T++uZ7MdOVtXlcvbSvTEmS8mGzeeL36PnKr8qj2qtqP1lnOPnJ3chuHcaUtG5lhTz0kgfJcMWt+NSOrKbJlENT7uVuUoLNojamvrv8eZ3dlE1T6vT8FKQ999yzrfwxpWsebbS3a6PLQa/1+ZQIa25873vfK6yj3jb/kq250btriurkR+VgSujcSbSbUiG5EWPVETJ5vW9KiMKUN8ldlb1ksjjUmV7a253eIbXBZJraLp6emfBzv55XtXve//73NzLQt6h3pc6oreF9Jg+vepU8c/Z5GL3wy8OZq3bnNFfT3890z1zL0c9UVMLqtYDyj0ofkWk7KzFM/2c/FDC5UFEebXSwsJHMKRWRGpfekVRjXoIyb3BKqOqehLEbm70yRZCog2Da7ymCXo1dNYBz0yRM5LbaENhyyy1TXOKrePL0KW+qGHPTpIAxjXis0FWZVP+Uz2rcClt5dXPvvfdOiVuCz0aYpzTqXbi7X66DIdDr96tUnXbaaekdU3h6D2wEtGjXUWzKjb7/XKGj8NRY1DuSN/p1X+9x3pFXmO065L2GrfCrjVl9B2pEVRu0SpsURN3KhFzeNClgvKx0Vbx5A8+f1SlP1Inw57pKDkiG6BvL77u9Lgzlvc7kYStN1c67+8kVQJJzbtRJq3bo9f6oUSkFt6fJr1UFfbvy9jh07UYB43HkV8m1TnWS3s1qA1kNdt3Tn814iUnR8ct52MqfzdqJSrWq7NT7lMdrI53Jr46vbTL5t2Mj1smZzcRM/pUGvQMqf9Vr1frggAMOSP5kyRUwefpzu5eL31P4bpTvKh9nI4WRG5sxUUqj3icp5vRtKDwPW1d19jHdE3B23ftodmkjz6WysFlX0bHeV30vHldets2hNT+Zrqz1kHptX+UKGM+Lrnofq++xvts8z/qmq511/baZhTF53cqKXvPgnec8/bndZqDFvOTfvvKh/OVtVQ0w5v70HdqMj9hmrGuH2gxwL4Z4zRUweTiqy1Vv5vHreVWR0U4B04/6vJTYmh8243tK/iWPVD/pfcjzVJXLav/kcstmjJRiUHs6958r3XMFTO5G8t1mcBbV8lV6qqbX9nY1jjwdsrvitantovT0wk/+q3Hqt5jqHa2+O3pWVXJJMVVtm+m32iBV/6oP875Wr/yU/rlunP9cz0c/0j+WChibppw+MjWS+2F6VcDYVP2UJr2ANh2wlCx1kPzF1LWqebWp/Om5Tc8r+ZVAyDsWqsBtKmjJjQRbHr5N9y49r1Z8EoC2+WFyo1HF3L/sGnnNG0rSqudu8sZ+kwImRdBg+dKXvlQKs5p3VUAep/LtswQ8OHHMK6xqZe7uuPaPgJdHLyGq0mvqzKvx+eY3v7mw6c+ld7QpPrnzNOld0O/caIZHXqH+f3tnAr9RNebxG6GVMEQlFRWSCm2WQsbWviBtQ8ygmKSaZIZqGjPa6DNo1GRElIZoRokmKaZFE8palhJKUyaKYbK983wvz3mfe/733ne57/tf3v/v+Xz+/3vfe889y/eee5bnnPMcRt2itHXIu/ptU9NT3IgjjdhYYdu07EqlTtnm0lYm4KapEZM3xHImhE88nBlHm2LrwZaj0LGDwHuKMwYpN/KGFr+HFcKPDRlbDlT7KB19jyMjqi509v06abOliX6rPNp070oHB3+itL3v6G4UBQwKRd41DepROpG2DCelxab2x+B7zLrxdHLM6wwcx/yJG585w704U4dvqk6YSeRhwNJHRW35aaVcpeNjU+iTF3QOmXXoz3Jk1NKFdxzvcc5MN+KEopW6xMXdEX4UBin8Hh2XXOis+H2O+Onxxy11F50Md4PSzgc+cr/0ey4B5zb3zuhX4jdnS6ArHkQlWpf23Lhl7STaV7kChvxK2e7Cd+k8/Uha44BDVEzjhjZVlLayYhJpyMt0yn1mi6MIR7HlbcFB9VJsszGjzp/ztFB/xEE+FARRcgUMLGO7j7Z6/K65H2c/tylgYnmZ14vEYVBbIcaz7pxyL7Y1qHvoG7jQZs7zSpxdiTvawJ5HOFJmIrkSM58JmNf7PJu3h1FWRb9t2Wzpt/+L726c9vaweaip7TIJfjF9nJNf48w6W/ZXYWBLrD355dF2zU33ySPnnXdeuk/9AdMYBt+tS1d+7s9SPjqbpZyGScV9JhUwjAD6S0ZJMAnpqoCJlWccrY1xO+aYY8p407lhaUCUtkqNStDTyzFf/uP+xKnkuIudpqiAIfzYmOb5vFNEJZI3Vqk8qOw8LjEe4yhg0N67XxzhE8VsHVTum02deDudm02H5I60kRbJ9Aj4O+saAu9pmOUVNFTptNW9VyrWmCdzBZ7HkZEJKlOPO40Zl9g5sDXTfrmstLv6HWcwMJJZJ3FUC8WEzwhpKxPwp6kRkzfEYJcL33IcmY3cYgOW+Nha7PzxHuVlVKKMooDBs8icjkUud955Z3pXhOPvnnLL3yFHysY6oSEd3cWGZgw7vu/cn2EVMCzBGVfaOlVR4Y2yo0kYXfa0+ggjbslHUZGGYioXM2afnj3ssMPS7ahcQfkfle3JkZ3QmfawY+eZ9+XXOTIrpUnc3agKmNgJy2dkeljEO876ykfL3Z2Ocwn4e5l7Z7Qr5IVYVuQKV2ZCeVgcY2d7lJDGLWsn0b7KO9V131q+ZDIfpCOtzJh2FvlAQltZMYk0xM4z9V4+M8DfRVu9xJIMjz9HyvE64R27O8qoKLkCxmcDRjfkqThrKHaiY/0V65ZJtBViHOrOzW5YShcKjNjxj+6PDgMgvPNcYtlGOnkXcRCW9ry3E/zZvN5npUCdMBvG2TNL0mUS7e1h81BT22US/DxtHCkT6iQuV491B0xjWUXbrE5oy3k43q6bBL+6sJbaNeey1OI9jfjOtUBodJa6YJzJpc3QobuZjyPGH10wfIUBR4yQRcHqv1UcpYHEgw46KN5qPcfAm4vZkkjGNv2aH62CrxgjxnBjndgIcrHGGmtUbmFIEqNVLgcffPCcnWkwYIohYRcMdI4rN5shSyus0+MYxLKOUfrNyWWXXZZ+W0e9NAKcLoSTHXbYIaUbw8E2ohDu6nSxEnDjpWafoeB7sIqvNqoYkcMoKYbTMEAaBaN8/r6tIVfsu+++8XY6f+hDH1qw9bwLhtkGSVe/+dYxQujC918n5H2+SQxQvve97y0NyNW5G+eadWpLg7D5s3zLNiMgXbZRynSOIVMXUwJUjLv6dcpdjKeOK6TZxZQ/c8pK63z47dJoIHkFIa+4WIe/sFFa/1k5khdsFlW6FsvQdHFCJ+TNaQj5FYPB1CVt9QUGGF1inYMB4pjnMQiZizUw0yU3SM8FjBa62Ihgo/Fq6iMXvtMYvl/naCOD8edEzm3AIfmT1x1+g3yOUVOXWKf4NR2nS4A87G0Fvku+2yhsuW6zINIl8vuo0qWsjWXDJNpXNuuhdkdOG9RKybJBusrOfn6DDRtc2J59WJl0GkxxkXaoGjYOuKNesMG4go0k2CwCA+B1EtvLse7J3cIptjn9PvWBdaL9Z6WtmC5mJ13r88y72p+mCEvXyUtNBu5pX7vY4K2fpqMpT1J7iM08HvvYxxY2YFnep53EJiR1BubdA9xgbLdOaGu48K5cYtk4ifb2OHloUvw8TTGtfo1j/BYx8O6CwWQvq0wJ2diepO1js8JKY8he/0+an8dJx6VL4A+t1qUb/9qYR8vVWGVfDEKFQuMCBQDCTkP8YamdTgJKAgrRcSTuIhSVFrlfWOAnLCx2I1j8tnWz5Xn8FxUt8brvfsQ10lInk1B4YQ2e3QDMsGoZBA0yGl35DjVUPC5YePddPfxaPMaKjnewXmZhPrrV+eIiYCM75W4INDr4nsnvthyj+PSnP53yCDFGocjuCSgIPH/aTIeUGHbjacsjNgsmuY3PpYvZSXQzjt9mjC3FH0UIu4jVCY1Jm05cd6vzNcKkXKiT+I3YbLfkxJaSpHN2j2qSph3XmtzH68SL755OO+UAjVDKSpe4y11U1uDehd3P2oRdO9gtAqHxPQ0hH8Zd7SYZBvVcrOvw22YelXUMeZOdRWx6emHLs1KwNoqTzjlBIek7C6FsYac/V2bxPbmSHmWcN0rpEHljHz9sBgmHWqGRynPuD4r1qBDyh/x79d9dj3nnNCqMcr+pO1xgJplfAlHJR2clr+eJDbt4eUeUegClH2XmsNKlrJ10+4pdVuokDno11QVxt678W67z069NOg1N8fPwmo6UhQyU8Odis9AKmy1dDjyanZpyV6DY0XZ3dUfK8CaxGZzp1jDfddf6PAXWcsJOTy60ZdraI+6OASSbKVMZ6KAtjsKcnUkRVwpwzgBv02AV9xG4xV3x/nD1D//ZSZDymHYy5baHPen29jh5aFL8PL2xjePXOD7qUY9KP23WSzqnz+Sy3XbbNdbtKI19V053P2l+7q+OS5fATCpg1lxzzfRGYmchXVygEyqVF73oRUkJQzRsvWD5x7lNJSxs+VS5xd8oigxv3OJHLDj4nUvc0rWp0zFo21/8ZMZAnbRp3evc59dsrXK5PawXVlQEbE8ZFSj+TIz/hRdeWPA3jFDRtimqhvFDbuafAA1zm7Zb/jF6glKADiajGP4N0Fm36btpK3gadC40ZGw6qP9sPXr+a3PU1W+bfp28H6cxkh7ucMK2yE3SVAbF0VQ62E0yqCxqes6vMzvDFSps9egKGBrTrgBAObfJJpv4I5Wytalx5Y5j2vOZU+6m6zHGratfTc+zhSmNPWYS+GyvJrf5dZ9dQOeWRjzfk5eNcQZJnCnDFtcuNPR9e3S/lh/J2/598s3UKWB8i/T82XF/o+iJMux37/GMz+p8egQoA5kJ4cIswKaZgO6GI53PmCfjvbrzLmVtzBODyrRh2lds9ztI2Iq5TuqUU3Xu8muTTkNMZx7WML9RFNtufgVljJfxwzyXu2l7H1E5TRmJwqqNX9f6PI9b/pv2SmxXjDJD1GwBzSk3GTyl7WPLRFNQZkcrKWXSxZqTQXUj932wmPp2iy22qAxSTKK9PWoemjQ/sMRB5YgpKqdQELpExX5b3nP38aj+SqShcwjcZxYxoMhwoVHJjIphheVLTP8zuwhlgTPKKMOgMJg+ytKGN73pTbUaagpnRiO33XbbggJ3WIkKk1hw1D0fFRkoO+okuqm7P61rFHQ0qnyqHiNcFPRNjZHYqBolTmb7ZhTncjvPBPhmaTAyah2XE+bRYKSeziLTZONUUpaseN4e910Pk7e6+h2XYzzwgQ/MkzcvvweVF3WRiFNy28pHn0lR58cw1/bYY4/kjCnrXo6bHZN03af3+oWoDBg08yS6je/C/Rp0jCNjTW6byq4m96NeZ/kMo8lnnnlmrfIFpVVcSlbnf2ToShcau3FmAstXXSK3+9///n658RjzmH+X0TFKnK6K++gf5+N+myhw2/J0Ho5+dyNQt+xtGB/z0eVBz8Tve9SydtLtq/j9NMW7TVHQ9Ezb9UmnYRglUlN86Igyy4J2dp3yhfY7yzeGkTaWbffq/B63zBimrUB4PqO7LuxB17zuy91FhQD34Mlyu0ESy+Q6t5Gd1/fDpjP3r4nrqHlo0vxGmUHnaYrlSJyN5vfbjpPm1xaW7i0NAjM5A4blPFEY3WybJh3d0uE/9dRT0yWmrsYZNdxguUGTDCokaJBjy4EptLbzUbmUginiPr0Wf+l8Yp/AdgBqCqZynZFcH/kkvlHzX3FoP9wd16fdOcjDHvSbmQt0nl2YHfS4xz3Of845sqyLkQ2EUbQmew/5g8N0GvJn9Hv+COy1116FGWIsA6SzzTrvNqGjjVIzjgSxrIAlfXGWA3Ym+O6GkaZlOfHZrn4z+8DlBz/4gZ8u+iOzOtxGDlPHm6Y7x5kS4ySKjhLr1H25EeUBMxn8N37a7jsVr+OoVJyWXXH0xx8xfnkZ7+5RRDSJGT5sujUv181QeyXPs9Rnt912K20ioOznj7KOb8PLyTrlwk477VQu56DuYuCBZVlXXnllmtaO8iXOeIysqE/ws63DGGejNNl8mDSwmA+YNWcGKIcOoi0tQ3sih0MRMAPVyZ3tfFPEMjHd+OMJsyZYXoHQRqIMistM/uis9hD9HbWsnYX21WJJA2Umy19iO9kMoZbvke+U9h6z4ej0s9RskLTZh6Et7ELZOOi77lqfe1hNR2Zb0On3tFP/DKsMrFOY8C24wtzDZGYobRza0m1y1113td0ul4O5A6/fF7q9PWl+nr5RjjGP3HbbbaM8Wiw0v5EiK8fzQmAmZ8Cg7Y9G28wq+9AwaYC6MHrojc04QtemgGn7KNFiU0DSkKAyoFI45JBDSlsWZh2+ovW3rVMbDRZ6/PwYlRRxiqPfj0e3/8I1T1u8v1DncMf+gAudLF/f6tfyYzRIx3TJ1VZbrfGPih8NNB0SKWBykovrNxWVS5ye7tfqjvloho/gRLtKfBtteYQZWHQo+TbrGjx5uF39ZhTQhfzbNnLFTIetttqqeNnLXlba9vDnFuIYy5s4tT2PCwrmrhKXjmCwGD9diYxiIB9Fi3ln0Lr/WFbGdxHL+roZG6SJvBJth3RN5zjPR0UUCnuULBhFRoGJYUov52KdVDdrh7zO0lcX7Csx48gl3uMa7uPSs6jI8mf8iAIr5pH5UvpHmzLUeZQHTd8+nMhT1Ou4kcwPAWYuxvYIyvYzzjij8Y/7dNJdTjvtND8deIzf96hlbSzvYplRF2hMz2JqXy2WNDCw4uU3dTaDo9hBwYg4S2p8KWJUnmODpEnisqHcTbwX24q5O//dtT53f9qOcUkqs9ybyiSuM7hBu5WlwPmAEHUPNiRd4iDVMccckwZI/H5+jGzye9R5MZ/7gG5kuFDt7Unxy9M87O9Yr0SbQfnzDEqwkgE7McwwpW23GPjl8dTvhSUwkwoYkNpWaokss0tiYzXdyE4YQY8zUbD07eKNWX5TOdSNfvLRoTipE5bW0FmgE3XKKafMcYLS6Pjjj68YlvOKCsdRe5931GLleuKJJzZOoabQjR3aZzzjGXPisRAXLr744sp6bkZsMbo3SOJSM0ZLmparMG2QNawUnjTEh7UVMyh83Z8Oge233z55jP2fYd5X7mbttdcu/YiNKr7tNlsftt1guc6axg95cJB09ZtGFUpYl7i0xq9x5HunY4LyNhrYaysT4vOTPo+KUZSmdbNEUFAcd9xxnYOmjPLOPjNg4ohfrhggsGhLhx2jaMTWCXGmrHRxuyf8jkswmxpZjL77SKb7MZ9H6h+f1UK4tkX0nEY611Hsx5226t4V7qKii2UhnhcZ/WRmQi5x55G25SDkV+dEhys2QnM/R/0d838+KMI37CO3+MsSrSZhqRV2aZjlE42DNrnX9ckQwAaICzsDxVlWfj0/xjYZ77RpeUP+XJeydqm3r2Axn2mI32XeVmVmnQsK9Nih9uscqfeHEWyDNUlsZzdtLBGf7VqfR7+azqMCkRmMTUI7hfYt7Rjybly+ghKdus/LVQabqRfjsi2Mq/v9ujDop8SZidFN/C5Rirlx6MXQ3p4Ev5jWUc+jAsa2My+aFFlsBEEbAYUj58zSXgz8Rk2v3E+ZgCkNFp1Yknv8dRWbnl764/7ZtLyeTVmc46113Hum/Ki4tR04etZYrbi1jy+5seUMlXv8wH8Pi6MZCk1ubIZHumcN0Z5NAUz3/MQsbCc31unoWSfGb/VMOZTuWccmXefEFEI9/PSwbceUyn1+WGHcsyU6yY0VZBU3O+64Y7pnoziVe/5jzz33TG6s8e+XK8fI/Prrr0/3bLQrPWsVb7puhVO6Tvz32WefnlUw6X7bCe/SGtnped6JVfhzHjFlXHIDJxtRmeNGFyZHwPPhuD7yfuJ7xT/bsrFnirQ5XpJXbMlEer+45X1HifnWpqzXfnu23K/iR8zftoVtumcdyuh1r6vf1vlLflO+2GyCiv/8sBGt5MY6w+l+W5mAo5133jk9ZzNH0nO2HCNd53trElNqJnecu1hntxfLQusUVb4p3hPfoucDjqbg8MdHPtoMxopf+Ef+qPvWKTNtuWlyT1mTf++4iUzxz2aJpHiZ8iE9z72bb7453ePklltumZM/TVme3Jgh2/S8LaFK18c5oQ4hDvzZzJTkhY1SpuvcO+uss9I9P6HMpx7z5znW1Q3unjohuuXcbJL57crRDP5W3Jrtgcp9fpjyqkc95n6agcjkhnfn13mXbeLuKLtz8Xsc8/Ih5l+eravXrAFdqTtNmZQHod8NBJx9w+3WyzYLuMLdOtyt7v2m2bxI+YbwKQOHlXHL2km0r0466aQU79NPP702yjG/NuVDWx6f/IllMh42lRXcm0QaKMP9nfNtN0lbvRTLcuqQujLcZt+lcDy8GNbb3/72yn0zZhtvl+fkJ3+WI/nGxTrO6V5so3O/a33uYTQdaVfEeOXtCZ7j24jltiknK97FvIRftqSuvG9K+Up5azMvKs/Fep/nSCv1SBSb2VKp2+i3uEyivT1sHmpqu0yCn/Ovq088rbFfkvO3wYr0DrmX1zv0G01xldyYyYnS20nw8/gt5aPzX8ppmFTcu2s5JhWT4M+kXhCdGdM6pg8Bf/nobLpjjwqOCsymblcKLdxQMZjGOcToD6coPjxuHG3tao/K1NYxVzo77iYW7vhH2H7PRr57NhulR8eIj922Wa4UfGZUtBJ+bDzgB50e3HgFFitm7tuUxN4FF1zQu+qqq3pmV2UONSONMQAAQABJREFUB9vJpOL/QihgqGjyjraNqPeoUGn4H3XUUbV/dJZd8sqaztd5553Xs92vejbCUHb8nDlHOuuS6RJw3l1CiY0k94+jGRQt8/6RRx7ZI8/m+YcOX2xsEQeb6pu+O/zgGRoWNqOkRwMIJUQMw5YeVqLepoDp6jeVNWny8IkbZQEdWhs96dGB93scueYyqExoasTEhtg4ChjC/9jHPlaJF2Um5aqNws0pa4h3FwUMCpDIgHPef5PExhNu4YtShbLQZtH0eL/RPxr0Ucz+QOU+aaNcsqnypXIvz3P4Nd8KGOKLMtHTQZxQrlCf0EilbrMdotJ9d9ekUMG/XJHJM7ZVKrdqJSrbcYuSFCWRbXlb+hXrO+IX69RJKWDiu6DTQp1ouw2W8SWMXKlEB5C6z2bDlXV/HkebMVSbVl2cS8Dz1Nw7g69EJSfvIFeStvkQ8x3f5rADNl3K2q7tq9hpXggFDDy7pmHYznNbvZTX69Q/NhujVHLTrrOltnPKLPIZymSXXAHDfVuOU3731I/UDZ43OdpMR3+0PMY4xDY6N7vW55WAGn5QR8b4oSihPKJ+ou2b91mor10Y1IzPRgUJbnLFeFRsxnrf/aDMtBmSPQZIbUlfpY9C/eH9Cw+/a3t72DzU1HYhHl348bynnXKnSWIbIlfAUNe7HxzhBJdrrrmmzINReUb9hPLTpSs/92cpH53dUk7DpOI+0woYINHoiw1Vf/lNRxQjzESpE0ZJ44henR+xs5YX7hSydc/k12xKYe8nP/lJJQo0hHN3/La1mqU7Cko6QHVu8ms2xbDiNz8WQgFDwZTHbZjfNMCiROZtz6Nsk0yfgL+DriF9/OMfrzQI3N+mIw0Xs/tRG+ywflFW5LPkYv6qG7Hq4jeRtenGcxpddWnMRzwHlQlNjZjYEBtXAUO888ZEHucYPuVLF2HmT/Tf7Iq0ehdnHMbn8nMac/lMRzxm1Cp3G3/T8UMB79cWQgGDAtHDbztGJR7KqCbJZxfwLbQJ9WEc6WuKA41Q4hplUgoYm4o/hwHvxYVvK1fC1MWTxnhT2eF+6Vgl4ByrV4f7FTtitFtGERRsHjZHOtTDyrhlbdf21WJQwHRNQ3xnbTNg2uolZh/SoY3vr+6c8j5+t65U5T1HBQzlcN3zfo3yIZ+h0KaAwf+u9Tl+tInZgpwzCODxzY/UsS7M1I9M6CfEWfLujsFZ94dyzWfVxnrf7zcdaUsxG6ZOYnuo6Xmu17W3h81Dse0QZ+8Sn3H5eVo8zuMqYPCHQV6ed7+ajlF55uF34ed+LOWjs1rKaZhU3GdeAQMoKh60vPHj90zgRwpyW0dZ2xiPsG3NcY9p7f6cH3mekevYsMwVMPjDyHZToxU/0IDjR53UffSxYuIZKpdYSHv8OBLvuCwohhErxbqp2riN0zPjEo3oTxydig1aClGPizeQKUj92ijHXAFD+Gif60Z88RelGpXqsCNlMT06H52Av8vRn5z7BApUs8dSWfLi/vuR/E4Dd9AoKg2RmD/9eY5UpkydZlZWLrHCrFPA4H5cvz0swmWJRl2lTqc5n7Hmz7WVCbGcckUtz8WGWJsChpFaZ5Qrfzx8yhNGHL1Mowxjii4jcXyT/vx+++3nj4x1ZImN+9WmRIieo0inkerPxSOjVMyGaRPKjDqFO41Dsy3TO+GEE5LfUQET+dbVAW1h5veY0eHxrlvmQ76Ah7uJR94t+ZJyL+arGNc8vFjG56OruVt+o7xiNmmcieJxIExGtOPMF/eDOLk78kybeNwJIxeUpbGxjp/UA1EoF5j54/54uH7ku2tjEv3SeZ+A8+tfGe7MdqdJ7x4/msq2Jt9oH8X8Nuoyv3HLWuIzbvuK8tN5TWoGjNkFqyAaVFa443HTEAfpBn0vbfUSs1mYLec84pGygHY4igWz4ZXcxHI0KmCYuVH3bZM/mIlTJ4MUMDzTtT6vCze/xsz0uvoFHpRppC0KfYPIiqWwdcIsvvh9eB0f6yWu0ZaJ7txv8hH9nDYZt709bB5qarvEOI3Kz5/1dFIfNAl9IHeXz4DxZ+Af0+PuOdLOvDlbuuzPcRyXX/RjqZ47p6Ua/0nGewU8MyCLStyI1zSiZoV/wa4Q/HHOtmJW6FeM3w4DA6N/pukvjTxuvvnmyXr7MM/ihm32brzxxoKt8jA+h5EwDPEOEquYCiyQW8O3DNMNZOXPYZCWXUAwQolledLINm6zLlhwxzCWTSUt2PKU98tuBJ6nZj39iyF9znrS3681+sr8jOFF3jM7qmCkjnc8ivANWeVZWAe9NMrM89YQKlZcccVRvKl129VvmLFNKmXDqquuWhqVtUZSbVh+cdgywd13PVrnufQi35kh9xfDyGxxjNhMk8I66rmToX+bcqxgJyiErWujMc5BnlBWUiZgUJcycL311it8Z4dBz3KfMhqjiDyL0WQM6i0mIc9Qn1mDr6zTbPSyTOOg9zPpNPBdWsO13OWP7wmjltGg8aTDi/6xw6B1mso6lB1vmr5lm+VT1ouUH3z3bFfNLiOS0QlMq5wfPSbjPTFOWeshzUL7atppGFQvmSKsLLPY0YeyFUPYw7SB/R3EI3XSN77xjbIcxEC4G+GPbsY571qfDxMmBtWp721GeNkOYcv0abTVrdNfbL311mWUTAFTuAFj6g3KbfoJ1B2mmBgm2qWbxdDeni9+TVBoX9CWpF9G3cNGAMMyXAz8mtI1retLvd6YJJdlp4CZJDz5JQIiMJeACti5TGbpCjvKsbWizTwqDj/88MYdy3bZZZe0Kxw7Er361a8eCwMdJXbx8K0xzYD5VBqoY0VOD4nAMiWgcn6Zvngle0kSaFLALMnEKNJLloDqjf6rm9ltqPtJ1JkIiIAIiMCkCKB4QRg1O+SQQ8qtjnO/2caYrS5dbImSn458PPnkk5PyBcXPNEYHR46UHhABERABERABERABERCBMQh0n3M/RqB6RAREQAREYGkSYIo3y6KYMs0yTqZM25r1Yocddijuc5/7FLYLTnHmmWemxJnNp2LjjTdOv4c52WuvvQqmFrNUzGe+8JwvQxrGD7kRAREQAREQAREQAREQgcVGQAqYxfZGFB8REAERWMQEsE3D7BZfT44Sxgwnln95tF/4wheOZfsFmx6XXnppxTszOlkue6pc1A8REAEREAEREAEREAERWEIEtARpCb0sRVUEREAEFgOBrbbaqsB44mGHHVbOhsnjxJIj27mouOCCC8YyrLjZZpslLzEMiBFelh9JREAEREAEREAERiOw8sorF7ZjXvk36sYFo4Uk1yIgAsMQkBHeYSjJjQiIwNAEZGRraFQz49C2+i13diNB7D7WtAvNKAlmpzh2yhhlx6JR/JdbERCB8QmonB+fnZ4UAREQgeVIQPVG/61LAdNnoTMREIEJEFABOwGI8kIEREAEFjEBlfOL+OUoaiIgAiKwCAmo3ui/FC1B6rPQmQiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMhYAUMFPBKk9FQAREQAREQAREQAREQAREQAREQAREoE9ACpg+C52JgAiIgAiIgAiIgAiIgAiIgAiIgAiIwFQISAEzFazyVAREQAREQAREQAREQAREQAREQAREQAT6BKSA6bPQmQiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMhYAUMFPBKk9FQAREQAREQAREQAREQAREQAREQAREoE9ACpg+C52JgAiIgAiIgAiIgAiIgAiIgAiIgAiIwFQISAEzFazyVAREQAREQAREQAREQAREQAREQAREQAT6BKSA6bPQmQiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMhcCKU/FVno5M4Gc/+1lx9dVXF1dddVVx8803F2uttVbxxCc+sdhvv/1G9ksPiIAIiMBSJ/C73/2u+PSnP10m4xGPeETxlKc8Zegk3XnnncU111xTun/CE55QrL/++kM/K4ciIAKzQYAygLIAeeYzn1k88IEPLM+XU/lwxRVXFLQv73e/+xV/+qd/Wqywwgolg1n499Of/rS48sory6RstNFGxYYbbjgLyVpSafjlL39ZfO5zn0txfvazn12sssoq6bdOREAE6gms0DOpv7VwV72CWIRRmwqUO+64o+xc/OhHP6r4v+OOOxYXXHBB5Zp+iMBiJzCp7/e2224r3vzmNxd///d/XyokF3u6Fb/JEqBht+qqq5ae0ri+8cYbhw7gkksuKTsbPPDa1762OPXUU4d+Vg5FQAQGE1gK5fwuu+xSfPKTnywT87Wvfa0c1OLHciofnvGMZxQoYZAf//jHBcrsUeRXv/pVcdJJJxVbbLFFsdNOO43y6MTcNrUFULBtvfXWZTj77LNP8eEPf3hiYcqj4Qj88Ic/LNZdd93kmAHk9dZbL/3WiQhEApOqN6KfS/VcS5AWwZs78MADi1z5QrSe9KQnLYLYKQoiMP8EzjzzzGLttdcuPvCBDxS/+c1v5j8CClEEREAERGCqBFTOTxVvZ8+/+MUvlkqrt771rcXdd9/d2b9xPFAeGYeanhEBEVjsBLQEaRG8oQsvvDDF4h/+4R+KF7/4xcVqq61WPOABD0jXdSICy4nAWWedtZySq7SKgAiIwLIjMO1yfvXVV09MV1pppXSuk+EIfPazny1uuumm4RxPydW088iUoi1vRUAERKCVgBQwrXimf5M1rC7rrLNO8aY3vcl/6igCIiACIiACIiACIjAGAZakaFnKGOD0iAgMSWDFFavdSGwNSURABAYT0BKkwYym6gI7By6PfvSj/VRHERABERABERABERABERABEViUBNZcc81KvB75yEdWfuuHCIhAPYGq6rLezZK7ilGoM844o4z3S17ykgLFxkc+8pHSEBkW0x/ykIcU7IyB7ZWnP/3pc9L3+9//vjj22GPL65tvvnlpPf9d73pXcf7555fWvZ/73OeWhh3ZqcgFRcq5555bfOUrXym+/OUvF8xsYdeOzTbbrNhzzz3nGKXCHf7dc8897kXxne98pzj66KPL3495zGOKAw44IN3j5Nprry0+85nPFNdff335x4yZpz71qaURst13373Wuv1ll12WLJS/4Q1vKC3GY1cDPzbZZJOSAcZ+3TDSuOFE5jvvvHPx5Cc/uTQgDO///M//LH7+858XW265Zfn3Z3/2Z0XbdOBf//rX5bPnnXdeyeR//ud/Suv2vLNXvepV5burgAk/iMfHP/7x4rrrrivfA8u4YIQBOYy0uVHP8Eg6veuuu4pzzjmnZHTDDTcUv/jFL8r3B6dtt922eN7znpfc6mQ6BHjnX/3qV4tvf/vbKYCTTz65ePCDH1zmgXxXMAx1Y2SRHcT47jAA9/jHP77Mf7yvbbbZJvlTd/J///d/5Xf4zW9+s+Cdf+Mb3yh++9vfFg972MOKpz3taeVyQPJtLuTp//iP/yjue9/7FocffnjB9/+pT32q/NbI83z3z3rWs4oXvOAFxQYbbFA+TpmAUe1LL720zGOUH9h5euMb31iWUXkY/J52noQ1Oxhg4PbrX/96ceutt5bfJjuwbb/99sUrXvGKYuWVV54TNcpHykncsWQS/p4uyjHKTco/3lcsJ3OPMPB49tlnFyzDJA68Z8J90YteVH6zuftJ/x6nTI1xuPjii4svfelLZdwx8sluI2ussUZZ5jz/+c8vmspl9wMD7KeffnqZH773ve8VlOkYzaQMpdx629veVlAeYtSQd+Hyz//8z6XdMEYbjzjiiNrlqthO+ru/+7vykfx594djlzLzu9/9bjnDgPqE90e5Tp6mrH7hC1+YjJ7G8HQuAqOW87fffntZzlNGf+tb3yrzGiPvtJOom1/5ylfWljMf+tCHyjYExDHGPaoB2i984QtlmU29QLiER1uCOmGPPfYo7nOfuWOY89Xm8lxEHUhdRFq9/tpuu+0K/mh7jiPUpf/2b/+W2o748dGPfrSsl6nzsAmTyziscj/i71HziD/7iU98ovj85z9ftvfZSQ8OtAMoj3wXLHcbj13bEtGveI7BZ9ggL3/5yxt35BtUpncta8cp52lPYYMH2W233Qq+uX/6p38qWJpGv4r6jfY8fGkD0J/KvwnqL/ISfRfadbQxNt5442LTTTct/1760peWO3SVgeifCCwnAlboLDox/uzMNHa8zHBY+Tx+WEehZ4VD+u1++9E65b177723EpY1XJN77psyIf3250488cT0jDXAe7ZLxxw37pajrWNN7jnhd7yfn1tlkdwTv7/5m78Z6N4sxadn/MQa4Ok5200mncfwrBNaOu8STmT+nve8p2cdr9qwCBee1tnwKFaO1gnsWYe18VmeP/TQQ3vW+as8xw9TnvRszXfjs/hrVvPnPMcF6zy1Pku4+++/f8860bXP62KfgOet/pXhz6yB0vj+rFNa8cga5T2ueXh1xyOPPLLn+bvysP246KKLBuY1/DQFSc+UMpXHbVeIFK41LBr9IT/ecsstPdt9omed0vRMHldTXlT858c086QpCnqvec1rGuPj8eOb+a//+q85cfP7fOfvfve7G/0h/dY5mPM8F6xD0zOFQ+OzlN0eDuXrKEKY/qx1vOY82qWswzPrCPae85znpDA8rPxoSpjef//3f88JnwvWUWh93hq6qUwirCjW0E3PmgH3eCud/+///m9yw3usky5l5qA6DBYnnHDCnG+nLh66tvQIeF4fJ+bDlvPWge694x3vSPnYw8yPlDN5G4t4xfqB8tRlUPlgncSeDd61hmsK9p51UN3LdJyvNhcBmmHcnm0t3RhP0mAK0XSfemgYsUG69EzOmt9RurCK/uTnw+SR2O6kzbz33ns3xpt+ALzqpGtbos5Pv2bKqhQnGwj2y3OObWV617J23HLeFFkp7kcddVSqj2KeMMVLakvkdS286/pP8XlTZpb16RwgujCTBPzdz2TiRkxUtSQd8eFpOe/6gmKh7H5xpDFso4VzGs4oWaJEBUx8Pp7TqUIuv/zyVEBxn4YAlT5+5p0LGqMuNlpeKoZyxQ2VBH8oGRAUDcQ7hk2FalrnHg2AeP3hD394z0bMPYjyGBsD0a2f0wlDuobTxBwGz3zmMyvxJOy8Q0EcbOR8jjsqJRvFmXMdZVIUM15ccUO4ND54F7wTTy9H25IxPloyg5274RxlC+8wf5brknYCzrHdVf3df/zHfyzzf+ROBc43cdhhh6WHfvKTn/TiOyNMvge+i7zCj8pM94AOtMeTI+GRz/78z/+8ZzPCKve4byM4/mh5jAqY6A/5jrjGayheolKRBkf+3fPbRopSGHzHMX2TzpPk4xhH4kSDF4VKriiivMkVnvFZP4ch33qMt9+zmX4pbZzQaI/vGHe8PxtRm3Ode5NUwHQt66gf8rKdPEbeIQ/l6UeBlwtKO2fDERbkO/yJ1/08Ly/bGuse1iAFTJcy86qrrqrEkzxisxBqv533ve99HiUdZ4iA581xkjRsOf8v//IvlXxGOUq9bLOXa9sV+SDUOAoYm5U3pw6hTCRcyklPtx+9Legc5qvNhXIqlgPEh++Qdk+sbzyeHIdVwNDxph6LZRl+co0y3qUrK/en7jhMHmlqd5JW6pOcA3HP67KubYm6uMdrXRUwXcvaLuV8VMDEfOTn8IWnzSTtMWDAYHSU+P3xDPU79UT+Xshn+SBX9Efns0PA887spGj8lCwbBUzegco1yjalLlGsU8DY8p0ehRGNSUZmEdxR4XmGonCxKeXJHwqmvKOWj1by25+PFZt78rGPfSzdp5HO7yjMJIlxyBv7eWOAjoxN+e+RXjP427OppqV3XcPJK8I8rrA6+uijU1pIsy37iEmpjOQQT1seke7TmXjLW95Sed6VTd///vcr13k/cVaTLSUqG0/OmQ56LOxtKVh6ngZWfBZ3H/zgB9N9/NAsmPRaak+cc+3NIS/G2QW831xe//rXp3dC49iWQFScMMIZO/j59x+f33XXXXvkkSjMWogjiyhBo+TfNR1ym/6dnOSNJpjQWI5pyTvhNGJcppknY5lDvOpmqMTyADekJ4q/Yz/aUpkejXEXW2qV3g9ubJmN3yqPcXSTxlgcnbblXKUizf3mOEkFTExbXk4RuUFlanye9x7fKc8z44qZVzH+cRYWnGIDFKWLLbPk0VLIezH/48+kFTBdy0wGCDx9DGpE4f0ddNBB6T75XjJ7BPz9d0lZzOf5d0T7KSqDGXSJ9Tbh0kaISoLjjz++Ep3YAYxlTNsMmJi3KR9siWvFT9pM8ful3Rdlvtpc+SwVyqUotmw+fYP+roZVwLg/lOv+rC1x8svp2JVV8qjlpC2P5O1O4goXr4vIQygGPA0cY7uSYGNbYJy2REvUy1tdFTCR8ahlbddyvk4Bc8opp/RsCXY5u5G+RJPQF4rcbQlUxSnfY7xf1w6pPKAfM0HA3/lMJKZjIpaFAoYp8nVCYeaZgREVl1wBw4hCndiazfQ8BbcX+rnbqHhA+xsldoZyBQz+xZHWugoQv9Dgx84mM0lc8saA2UbxW+k4iXDyirBu1JPKMM4OiOnJZyTwOxc6MbHh8/73v790wsiUv0dGoeuEsOHr7uJ05Te/+c3p+mmnnVb3eBppQtmVz6CpfWAZX3TGXRC0NbpYpuZhcLR1xbVB2drr5I58w3eNsPwmPn/nnXfWPo9Sx93xfJRcAeOKzOiGcsOf55g3QHBLeeBuYgN6mnkyLu1BUdAkceYZU5ijeJw5Ns0Ki8sm43eJgjM+X7fEie81jjZPSgEzibIuliMomuqEvBbL5PjuY+ePziMKi1xQOMeO5aQVMF3LzPhuckU6afE6CQaU+U1T//N06/fSIeDfcJcYt5XzZpsqlRMMmjRJXALpM3rd7agKGAZXPF0cmalcJyhpo7s4gDdfba7IjmVadcIgW4znJBUwk2BVF+f8WkxnrqTL250sf6+T6Eesy7q2JerCyq91VcB0KWu7lvO5AgZl1rASB5hYGlYnxxxzTJk/aV81vbu653Rt6RLw8mjppmByMZ9rQczozJJYI7Y0NFuXJtMsp8sYY2wS05DX3sLopovNzmg0LHvwwQe7s9IQVfox4ASjhqagKV1ZAVXsu+++tU889KEPLY3T+k2MYdWJVUKlcdD83qTDsUZ3aZgrDwdDv9aQSpcxcuti9jj8tLAOXWmkK1344wkGdU1BUhqdxGAZxvcQjHi6WGXnp5UjYWPs1AVDeS4YBHM57rjjSgNj1gH0S+URA6Ncw9gkxlklC0cgvjtrcJfGeetis8MOOySDzTfddFP6llZZZZXSoDVGBf/1X/+1+JM/+ZO6x0uDi34j5lW/5kcbAa01GGvKOndSWAOkNLCaLvzxJOY9m/mQbsfrk86TGLLGMCDfkM1USGHmJxgzdjHlp5/OOcZyNN6M6bcOeLpFeeNis4xKY7P+2498r5Spk5ZJlHWUQRhTPvXUUwubGVUbRYwVYrzbJfLDQLiLKcNqjRyTR//2b//WnU382LXMjGl73eteVxpFjZGkTsLAMEbmbfZUq/HL+JzORcAJYOwWY+c2WFKwCUKTbLjhhulW/M7SxRFOzEZccm0zt0rDrelCOKE99pd/+ZfpCvGsk2m1uawLUJjiugyS9hZlep3EONbd73Jt0qy6xMWfNUW/n1aOpjRPvzFs79K1LeH+TPPYpaztWs7n6bIBo/xS428MVruwCQrtjfz7/Ou//uvCBisKU2i2tkXcHx1FYJYIrDhLialLCzsW1e3igVu2S6MipXPGbiA2OlrrFjd1gsV5Fyzk21IV/9l4RKHSFE7+EIWSC5bE2/y3EUd3WhZm6Uc4edzjHhd+9U8nHQ4NIizl1wm7cbjYdGI/rTTgY2WZHPzxhPfJn0vstHINRUmTYAXexWbY+GlBI8mF94P/KO522mmnchcbW0tc7orjbnRcWAJxhyTeadt3EXfb4jsn/7FzDDv08OeCcs1GB8tvh90G2KUsKljdXd2RHX/qhN1wXGInwa9xjLty0ah2mWaeZFeifGcim3FRloOUBXwbNvJVRKVojJvH0Y/xm/ZrHB/1qEeln+xG4RLLTXb8aRJ2r5i0TKKsQzEVlVPEkZ3ayF/kHXaTslkuqYPE/ciPXZNctt56az+dc5yWoncSZSa7VPnuGJS51C02S6mw5XzlbnHEHSWSRATGJfCgBz2o3FUFRYgLbQabBVF+Z3zL7DjHLngusZzxa6McbXZrcj5o10PaCWanpHQflcrJAzuZVpuLdgo7SyLUPyhh6oQ2LoNe7Go0aZk0q67xo/yhbq+TuDUy7W+Xrm0J92eax3HL2kmU8zFd9IOa+EZ3fo4CxvtXXPuLv/iL8o86wpbdFgyQPfaxj3XnOorAsiMw8wqYps6Bv2nu03BG6Hgw6pJL3daFNARi4T3KaCUNiLwBn4fJbxrzLlS4ZmDUf7YeY7yiw6bCbtLhsD1dkzQ1yun8utiyKz8deLzZtsmLMiwjFG4uhPfv//7vxS677OKXytFbMwBY8IeghGGUqWkWUnpQJ1MnEBu7bF/M3zBCgz0qNlA6sCU7o0SxMTmMX9EN29oPEra1rpO4/Xu8Px95kkY5I8vMhqF8GVfYOrpOouI7zihjFplL27dOB2zSMqmyjo4e+Y4tpFFWeWdomPjG0fK29EcF1jD+DutmEmXmXnvtVc5QYnaWC/WO7Q5Y/nHNluAVhxxyiGYMOiAdxyLAtrW2PKH83mK9PZZnAx7ytiDOBrUdYzsHpWudTKvNFcMbFM/1119/KgqYSbOq4zfKtbY2db41svs7qbaE+zeN47hl7STK+ZieOBMnXm87ZxALBVLMK2xJzR+C0szswZX1RFPfoM1/3ROBpUzgPks58sPEPXYC6tyzrMUlTpP3a8yEqCu8R2lwu19+tLWzftp6ZFR1HDGbFrWPNS21mHQ4g5jXRS5OTRylIB437ry/OCpta8XL5UVUBnWjSUxVtR1iyuVRZrOhLgm6Nk8EmvL3oOBjXqHhxagYywPrlC80DFhaMYzEMqTJfZOipck916eZJ1mOxwwgZjHUKV8YpYrLBZviWfetNLn16yxNcakrW/0exzYFRXQ37HnMA8M+g7uY51Dcbb/99uVsD5QweV1AndFUjuBXrGdiGcS9KCxjmoaMyyCWmeRnBh2YfcBoZp2wvI/ZC+985zsrZW2dW10TgToC5513XlkG2E4u5Szl3A35i3JyUhLL8kGj/dFtbL/EuEyrzRVnPA8qQ1kOOA2J6Z8Eq65xjLNJh/UrluvDPoO7ccvQtjCaZm+NW9aOG8dYzsf4Ng0iRTf5OUupMYlgtojKWeX5fZT2Zu+uNCfAwLREBJYTgem08BYRwbjesy5acUo6DedhhVFfOh/e+GaU5oEPfOBQjw+roIgjLNihsV0AhvK/aflP08PzFU5T+FxnlMYlzobxa03HOEpshpALM8rW5HTO9bxTjM0KM+xbvPe97y39YWo9HYw4fdcMB5cdV9sVa45/ujA/BJja6u+ETl5TBzCPzf3vf//yEnYpmD7u3y4XsTtkxkJLmzFMG2fWGx1lM/CYezOvv6eRJxlNplPsQhi77bZbsemmm5a2l2g0wYpGk3NuUxS4P8MeYznb1gAmzDrl0LDh1LmbRFnHLLuotCP/PfvZzy6e+MQnliN6TLumbGG03vnFGUCMJLqdLsq6yCPGmTplGIlLOaP7JrtFkywzWabJH4MKX/jCF8qlV7aDV+W9oexjOVlc8hfjqXMRqCPAUj1G/134TsyoaDlLmTKaGQ+0wVgqGZchuftxjvHbiIriOr/i97nmmmvWOWm81rUcioqdQfEcpT3VGOGaG/PFqiboiV3q2pYYNSJNZTX+0C5pk1HL2vh+uraN2+I16B6KGxSo9F9s56PCjGuX36wZ6U2PUldir4iZ6BIRWC4EZl4BE6ec5y/VduOoLCPK7SLk7vPfsSGN9rZtzb7tTFTae6BjN2jEwsOJ01fRFK+22mp+a86Rwvu2224r7S4Mq+BxT+YrHA+v7hjj0KYJZ+bCHnvsUaaTTk80cGy7cRSMyjSNxmBHh6mQNOTishE6ejRSsCeCTQb8oMPAn1lpL4gPs1+808W0Silg6t7i/FyLBmp5n23fBd8E3/naa69dKhWIIR1F79jTgMdIaN302tiwjevG5yOV08yTvqyOdNDosR00am02wc6laXTO749yjA3DOAU89yNfw57fH+d3LGfGKVNRNDAq74IC8MUvfrH/rBw9j3ExKmDoPLoChobnZpttVnnOf9BYHUaaRt9vv/322sejTbNxy0y3xUGZSuOeAQmWcPLHsjYU4RhYdiUnNnGkgKl9HbrYQAAj6S7MdEHJUrfcMebzruVUNBwa7cR5POKR8sMl2hjxa23HruUQ9ZkL5QT1RT6g5Pfbylh3M85xvliNE7dhn+nalhgmnNjepy1SJ9QP0UZhdDNuWTuJcj7GY5xz6kv6YNQRzFBisIc/lqYywGU7JaZBLr5v6rJot2+cMPWMCCwVAjO/BImPOl8L6S8H+w8u2PiIRjP9etuRQsWFUeUmYb0uSxqoNJmd0jbqG/2IlTTa4rjuN7rjHOvvjAjRGWXkehSZr3Da4hSNlGItvWmkgIY8nQZ4ULiT3jiC7IYh68JidguMmJIbOwPrrrtu+W6YAUHnPBfWWJ9wwgnpcrRhkS7qZKIE4iwurORH4VtyYYZK05IwKnNsOtEQQanmtmIw3OiCnYo65Qv3P/GJT7izeT9OK0+iqPVZGSTqsMMOq1W+2FbdBTMZXJq+R78/yhHjey62XX0RO1B+nWMsn+P1LuddyzrfeYQ4sDyqSfmCgiUq8CI/FMcutmVtbVlHgzzaV3H3foxKx1tuucUvV45NRqS7lpkMJqDkpsymzCSv5IIimx0uXAZ1Zt2djsuLQFs5Hw3qs9tdnfKF7yQqavK6YlSasR3CTNim2SN8z9g7com2xfxa27FrOcRsO2/3oOht+tap66KiqC1OdfeiUidnO1+s2vJIXZxHuda1LTFMWFGhEGfcx2epL1xZHa93KWu7lvMxHuOcYzORgc6tttqqOOWUU+Z4gY23448/vrLkPw5azHlAF0RgxgjMvAKG93XEEUcUjNRFQSkTtzllCcKoEm1EYMjz3HPPneMFnUMaDy5sWTvsWko6jnvuuac/WipZUDrkgpKJkViXl770pX461HG+wmmLDNu5usaeWQ1xiYQ/R0eN9aIubjQ3bj1Nh5IdqXKh4iMfuLziFa/w03L5gP+Ifvk1jtGIGFNBJdMlEBstcSYGoTIDKjY+UTjGDq7HjHfpnWBmunjHP64VZzps3bMf+9jHiiOPPNK9qm0cpZtTOImd9EnmyciVaGNANheWrpDHY4OwaZZF/uwwvxl1jDub8F3mjXtGzd72trcN491IbrqWddE+FY3FugY1yoZ8B5U48vmyl70slXV0jlheGvnilhl2bQZH45LNOn4XX3xxcdRRRzWyiXlq1DIThv79kUeatgim8+Di357/1lEEIBDLo7ycp8x2idsF+zWO5N24W1v8jqK7Yc/pLMZdGPkOcz+ZbULZFNsE3hYZNpyu5RCzKl772tem4P7qr/4q1XV+kW+T610kzqbOO8fzxaotj3RJG892bUsME35cbsYyHGZUR/nBD35Q0C+ok65lbZdyvi4+o1yLKwJQtNT1XfjmvZ3BgEacVTVKWHIrAkuSgFUmi04MJPuxjh0vm/5cPu/+cLQGf89GdHvXXntt77TTTutZ5Z7cbLnllj3rAKTwOPdnraGZrtedmBImueWZV77ylT2bndGzZQ09M1LYMw175T5xi2KVWrpvFX+8VZ5bYZ3u4z/xsVHjno3E9j7ykY/0bE105b4Zz6z4YSOs6b5t11u5F390DScyJ05NYjMWUnw4j2KW0dM90mpKsZ41rnr4TdxJu7+XHXfcsWfTjcvHeV82Gyndw401kHq220j5LmyZReV944+N2qagbVZN5VmrDHtcs45UGbYtQ6rcJx9Jmgn4O2p2MfiO2dlIzK1i7llDuGdbfqYHbdQz3Sc8vh1bGtIzuwE9m43WsxHJyv34bP6+ya+mxOyZUrZna5B7ZrOi8qynxxoKKfyTTjopubGdcNL1eBLzunVS4610fuqppyZ/4veQx3GSedJmLaQw+RZsCVLPprH3bGZMjzhQHnqa/WiKzxRnTvw65WiTXHfddckd8Y9i9hMq37PNQOzx/VM+8/5i+UxYlKOjSORnHZXKo13KOsoNTztHWNpMnZ4pjHqXX355j/I2llPuljohiin4Kv5YQ7t30EEH9ahP8joDP8jPUQjL/eYIP/ISeZE6KN7jHP+jdC0zrWFfCcM6ej1bolmWmdZZLsvuGAdThMbgdT4DBPz9dklKWzlvA2SVPEYZ5HnsrLPO6tnss8p94kPZFcUM9CY3lHEubeVDLLfw04yR984555yyTUcZRRvL087x7W9/u3tbHuerzcU3bANXKS7Uk7STKMdtQK62HLEZPZW4Dvphs4aT/6TVBhN7hx56aGovd2U1KHzut+WRYdudlIv+zqi7o3RpS0R/ms5tqU0KmzhQFpNHeFemPK+tL+gXuHQpa7uW8zZAk+J+4IEHepSGOtpM/0o9bkuPynzJd0i+sZnulbSTrySzT8C/w9lP6eAUjq/lGOz32C66vqBYKLtfTUcauzaSUYkrhZa7pzHdJqbVnVMh+7P5kYI+l0EKGNx//OMfrxRkub/+m86AjV5Xghi2MdA1nMh8XAUMcaCR5elpOlKBmYX3SjptedYcJUzd83TsUKzkkldydc9yzWZFpMZH7od+/4GAs+vCI2/44Wf+LQ77zlDARbFp6z0UAh7PpqPZsKjkKZvmnbyZtgKGgIZN36h5EuVtU5rjdRpc/ptOSBS/Pq4CBr/oKLg/dUe+c78+SQUMYXcpU1GmebyajsQ9dv54R7nkDf/cr/g8Cuco5OHY+cqf5TfP8944Jz65dCkzbUbpHCVnXRy4xkCBZPYI+PvukrK2cp62FUoFD6fpiOIy3ottg/gNDauAIT0MckU/m85RmNoMygqC+WpzESiM6hS2Mb6R4agKGJtNXMvBZu6lNHdhlTxpOWnLI8O2O9sUMAQ9bF2btyVaol25ZUZoazn6e6J8ZsDRf0cFTNeytks530UBAwAGHjxNbUfqMtvZq8JMP2aTgOeD2UzdaKmaeQUMygAagHWjkmhcY2Xt6JhZ4ZmkruHq7uLRdsdpbCzQCGBkt04YGfSwKISahBHjuhEfnqUTZEt2erY96pzHY0dxmIbwuOGMUxHGEf8YcQp9tOXOJR7NaFcvzkSIz5mh1FKBk4+e+/PMoogVW3yWd8475H27+3ikI8MMC8lgAs5tsMt2F3XKOEaTolxzzTW1MzaIA3mIjrbPlIrPkYfyEVaPN3nAlhT26OSaHYCUH+JMiji7ZVIzYM4444wYxTLe08qTzA7zzrmn24+UmZQDcIvfUvx23G2bAsZsNSV2+QwYTyjxYHai++dHZjQRB/8eJ62AIfxxyzryBZ2CujoFHkcffXTPlp72aPh6eprqEbMnVSp1mcGCW9wx4nvJJZf0yNv+vBkBd2TpyEDBscceW3lHuCcOlHU03G2HpuRvejCcdCkzzZ5QOZIb84jHlyMKzNjpDcHqdAYI+LvumpS2cv5mm5VodrrSd+BhcqTcoN2BRDexnROvR6VB2wwYT48toWtUchI2s2HqZL7aXB622YCaMxMaPpQltKWot5zbqAoYwqDdk3/jcTACN+Oy4tlhpCmPDNvuZLaJM2hqd47blhgm/rihLRKVYR4f+ge8F7MzmOIY61qe7VrWjlvOR76x/UOchhVmrXn95mn2I3mUlQLUZZLlQcDf/fJIbXsqV+C2AVlU4oa/xo2aFaTlbjYkyjoTxYc//OEyfVaZlwZc2YnIGvQV40+TAoCRS6zOY3vCCtsCY5p1xuPGDc8a/wVGF1lfj2FR1pcSzoorTnZDq/kKp42DKZRKey4YLcbmgRXWaSebtue4xw4q2GLAngKM2Hkl2m9oex5bM7xDrLTzHMaWYS0ZjkDX7zeGwu5DfLdsi8wuZU3vkPeM3RBbXlKwRSfvnK1BPS7Rz3hOHsN/diDgO8VIM8bhFptMI09SvrIGm/SzDpsyEYPT0ejhfHHgvWFTgXLMFEOtO1tNOk7jlnXWaCzLYuIOM3Y3GmY3FFNslUkYxBmj0W5vCntjTbZWiD/sqBMw7snfoHxfx3DcMpP0UCfx/cEEGz+U1XH3j7rwdG1pE/A8Nm47LaZ+UDlvA2VlOUUepU1FWTVfdTI2wsjb2HuijqCMHHXHzJjWpvNxyyH3j3YSZQBt0M0337ygnTsp8TIGFvjbtGHFNFkNyiOTSuu4bYlhw6cuN+V8mZfYEahp1846/yZR1o5bztfFZ5RrtKdpV5N+NsLAkPRibGuNkia5HZ3AJOuN0UNfXE8sKwXM4kKv2IjAbBJQATub71WpmgwBtgE3Oy2lYvfwww8vokHwGAKGPTGwjrAjy6tf/ep4W+cisKAEVM4vKH4FLgIiIAJLjoDqjf4rWxa7IPWTqzMREAEREAERWDgCzKhDbIlWccghh9Ru42xGP5PyBbc2hZuDRAREQAREQAREQAREYIkTmOy6lSUOQ9EXAREQAREQgWkS2HTTTcttnFmmytIvllSYHYBym3SW7dgOR8WZZ56ZomDGGctlPemCTkRABERABERABERABJYsASlgluyrU8RFQAREQASWGoFVV121nN2y9dZbl1FHCWNGn8u/PC1mRLfR9kvuVr9FQAREQAREQAREQAQWP4GZXIK08sorl4YcMeaIMU6JCIiACIiACCwWAltttVVp+Pmwww4rZ8Pk8WLJ0VlnnVVccMEFMlSYw9FvERABERABERABEVjCBGbSCO8Sfh+KuggseQIysrXkX6ESMM8E2OGDXSIQdvGa9K5285wcBbcMCKicXwYvWUkUAREQgQkSUL3RhykFTJ+FzkRABCZAQAXsBCDKCxEQARFYxARUzi/il6OoiYAIiMAiJKB6o/9SZnIJUj95OhMBERABERABERABERABERABERABERCBhScgBczCvwPFQAREQAREQAREQAREQAREQAREQAREYMYJSAEz4y9YyRMBERABERABERABERABERABERABEVh4AlLALPw7UAxEQAREQAREQAREQAREQAREQAREQARmnIAUMDP+gpU8ERABERABERABERABERABERABERCBhScgBczCvwPFQAREQAREQAREQAREQAREQAREQAREYMYJSAEz4y9YyRMBERABERABERABERABERABERABEVh4AlLALPw7UAxEQAREQAREQAREQAREQAREQAREQARmnIAUMDP+gpU8ERABERABERABERABERABERABERCBhSew4sJHQTEQAREQAREQAREQARFYLgR+9rOfFVdccUWZ3DXXXLN46lOfulySrnSKgAiIgAgscwKaAbPMM4CSLwIiIAIiIAIiIALzSeB73/tesdNOO5V/J5544lSCvvbaa4sDDjhgKn4vFU9vu+224uUvf3nBUSICIiACIrA4CEgBszjeg2IhAiIgAiIgAiIgAiLQkUCv1ysOPvjgYssttyw+97nPdfRt6T5+5plnFmuvvXbxgQ98oPjNb36zdBOimIuACIjAjBGQAmbGXqiSIwIiIAIiIAIiIAKLmcBKK62Uorfaaqul80mc/P73vy9OPfXUSXi1pP0466yzlnT8FXkREAERmFUCsgEzq29W6RIBERABERABERCBRUhgk002KZipIhEBERABERCB5UZAM2CW2xtXekVABERABERABERABERABERABERABOadgGbAzDtyBSgCIiACIiACIiACy5fArbfeWpx++uklgMc//vHF3nvvnWCwdOa73/1uscoqqxRHHnlkcdNNNxUXXXRRceWVVxYY1n3MYx5T7pq06667Fk95ylPSc5xg0Peee+5J1+6+++7i6KOPLn/vueeexZOe9KR0j5Nf/vKXxbnnnlt85StfKb785S8XP/3pT0s/N9tsswL36623XsU9P1jidOyxx5bXN9988+KZz3xm8a53vas4//zzyzg/97nPLV772tcWa621Vnp2nHD84bvuuqs455xzyvTfcMMNxS9+8YuC+DGLaNttty2e97znudPyeN555xVf/epXi29/+9vp+sknn1w8+MEPLjbccMNiv/32S9dH9Ts9qBMREAEREIHxCdgU0EUnlhrmpS66eClCIiACgwno+x3MSC5EQAREYCkT6FrOmyKlbOfhz0te8pIKih133LG8t/rqq/dsq+oeRw8vP5piofLswx/+8Ea373jHOypuv/SlL/U22mijRveEZcqgyjP8MIO26Zl99tmn9+QnPzn99viZIig9N244ePC1r32tNf2Et//++/dMcZTCs12P5sTH47Xzzjsnd+P4nR7WiQiIgAiMSMDLoREfm0nnmgFjuUEiAiIgAiIgAiIgAiKweAj8/Oc/L57+9KenCLGrETNa4syOww47rNhqq62KZzzjGaW75z//+cV3vvOd4uqrr07PbbPNNuX5Ix7xiHTt85//fLH99tun36bkKZ71rGcVHLn3ox/9qLxnyo3ixz/+cXHEEUckt/Hk7LPPjj/TuSmVyvMu4TAbZ4cddijggJhyqSB9v/vd74pPfvKT6bob2/3gBz9YujOFUMFMmW984xvJDdfuf//7F6ZwKt2M63f5sP6JgAiIgAh0I7AY1UqWolJ7vxjjpjiJgAi0E9D3285Hd0VABERgqRPoWs4PMwPGw2CGjClBEjJbntSLM12YhRLlt7/9bZoBss4668Rb5TkzWGwpUnKz++679+64447kzpYY9U466aR0n3iYQibdjzNgPI5veMMbeqZs6b3vfe/r2fKkiYRjS5pSHEz51Lv33ntTHEijKVzSfeIRZ8Hg8DnPeU66//3vfz89y0lXvyue6YcIiIAIDEHAy8shnM68ExnhtdwgEQEREAEREAEREAERWFwENthgg+LMM88s4uwVbMD4rA9iyyyTUQT/sJGCPOEJTyiYxfKwhz0sebHCCisUzKxx2zHciOfJ4R9PmO3yzne+s7QFc+CBBxZvfetbyztdw7nmmmtSUK961avKGSx+4b73vW/B7ByfIYRtm29+85t+e+Bxmn4PDFwOREAERGCZE5ACZplnACVfBERABERABERABBYjgUMPPbRYeeWV50TtiU98YrrGsqRR5FOf+lRy/pa3vKVYaaWV0u94cvDBB6efn/nMZ9J5fvL6178+v1T+7hrOxhtvnPw97rjjis9+9rOlAeB00U4uvfTS8tr1119fPO1pT4u3Ws+n6XdrwLopAiIgAiJQyAaMMoEIiIAIiIAIiIAIiMCiI7D++uvXxmnNNddM191GSrow4ATbKC7f+ta3Cred4tfqjtiE+dWvflWrDGKWTp10DceWECVvCZ/dlbADs9NOOxUveMELSps1ceZOcjzEyTT9HiJ4OREBERCBZU1gBRZZLTYCTP9EFmHUFhsqxUcEFh0Bfb+L7pUoQiIgAiIwUQJdy3nbGajcSppIsYSHraBdUDBceOGF5c/rrruu3HLZ78Wjx4Frsb2IkdoVV/zD+KLZgCl++MMfpsfMdkpxv/vdL/0e5YQlPmyZnftBePe5T3VCee5mnHB4BmO7u+yyS+PjGA5medK+++47xw0GfJkhg5gNmOLRj350xU0Xvyse6YcIiIAIDEHAy+xYXg/x2Ew6qdYYM5lEJUoEREAEREAEREAERGCpEWDnnknKqLNlYtjsHJQLM1Jy5QtuJhWObRtdsLzItpYud2jKw7/sssuK/fbbr7QH88tf/jK/3fp7mn63BqybIiACIrDMCUgBs8wzgJIvAiIgAiIgAiIgAsuBwIMf/OCKIuPWW28tlSUoTAb9bb311kMjmmQ4GNh9//vfX9x5553F5ZdfXhoEZlvpKB/60IeK008/PV4a6nyafg8VATkSAREQgWVIQAqYZfjSlWQREAEREAEREAERWI4ENtlkk5RsluasttpqjX+2/XVxzz33FKusskrBzkOjSNdwmKZ/2223FV/84hfLYB/wgAcU2223XXHMMccULOG6+eab0y5IOIhGfwfFc5p+Dwpb90VABERguROQAma55wClXwREQAREQAREQARmhIDbGSA5v/71r+ekiq2nXd7znvf46Zzj17/+9WKjjTYq1l577VL5wgyUUaRrOOuuu24Z9jbbbFN84QtfmBP0euutV5xwwgnpOkuVokSF0W9+85t4q+jqd8Uz/RABERABERiJgBQwI+GSYxEQAREQAREQAREQgcVKINpkueOOO4p77723EtXXve516ffZZ59dMQDsN7Cn8prXvMZ/Frvvvnsx6o5DXcN59rOfncJ/61vfms7jyU033ZR+Yrw4Stxem5k0Ubr6Hf3SuQiIgAiIwGgEpIAZjZdci4AIiIAIiIAIiIAILGICGMd1YTegN77xjcVFF11UXtpiiy2KqBzZe++9y52ELr744uLqq68ujjvuuAI3V1xxhXtRvOlNb0rnw550DeeAAw5IQWFsd4899iguueSS4sYbbyyuueaa4thjjy2N77qjfLekhzzkIX6r3CXp0EMPLd71rneV17r6nTzWiQiIgAiIwOgEbB3oohNLBVtjL7p4KUIiIAKDCej7HcxILkRABERgKRPoWs5fe+21ZTsPf2wb6gqKHXfcMd2zrZ8r9+IPjwPHXGzXoOSHu9t///2TM9vRqLfrrrvOceNu4/GjH/1oeo4TW86TnjNFT+Ve/qNLOPhlM19SWDFO+fmRRx5ZxiuGb4Z75zwb49vF7xiOzkVABERgGAJebg3jdtbdaAaM5QaJCIiACIiACIiACIjA/BDAoKxLPOfasFtPr7766u7FnOO73/3ugm2Wo9xwww3p5xprrFGcf/75BbsHrbPOOul6POF5UxQVe+21V7xc2XYaA75t0iUc/D366KPLOG6wwQa1wbAb0nnnnVe8/e1vL1ZcccWKG7aufvOb31y5xpIsjAojXfyueKofIiACIiACIxFYAQ3TSE/Mg2M3oLYIozYPqVcQIrC0Cej7XdrvT7EXAREQgUEElko5bzNQCraaftCDHlQ88pGPnKOk8HSilGBpDwoKFDIYqWUr6UlLl3Buv/32Mo5333138ahHParAyG+uvKqL769+9atyxyQUW2uttVa5o1Publy/c3/0WwREQASaCCyVeqMp/pO8LgXMJGnKLxEQgUIFrDKBCIiACMw2AZXzs/1+lToREAERmDQB1Rt9olqC1GehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgNyZqTAAAAdiSURBVAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ+AFDB9FjoTAREQAREQAREQAREQAREQAREQAREQgakQkAJmKljlqQiIgAiIgAiIgAiIgAiIgAiIgAiIgAj0CUgB02ehMxEQAREQAREQAREQAREQAREQAREQARGYCgEpYKaCVZ6KgAiIgAiIgAiIgAiIgAiIgAiIgAiIQJ/Aiv3TxXe2wgorLL5IKUYiIAJDEdD3OxQmORIBERCBJUtA5fySfXWKuAiIgAiIwAIR0AyYBQKvYEVABERABERABERABERABERABERABJYPgUU5A6bX6y2fN6CUioAIiIAIiIAIiIAIiIAIiIAIiIAIzDwBzYCZ+VesBIqACIiACIiACIiACIiACIiACIiACCw0ASlgFvoNKHwREAEREAEREAEREAEREAEREAEREIGZJyAFzMy/YiVQBERABERABERABERABERABERABERgoQlIAbPQb0Dhi4AIiIAIiIAIiIAIiIAIiIAIiIAIzDwBKWBm/hUrgSIgAiIgAiIgAiIgAiIgAiIgAiIgAgtNQAqYhX4DCl8EREAEREAEREAEREAEREAEREAERGDmCUgBM/OvWAkUAREQAREQAREQAREQAREQAREQARFYaAJSwCz0G1D4IiACIiACIiACIiACIiACIiACIiACM09ACpiZf8VKoAiIgAiIgAiIgAiIgAiIgAiIgAiIwEITkAJmod+AwhcBERABERABERABERABERABERABEZh5AlLAzPwrVgJFQAREQAREQAREQAREQAREQAREQAQWmoAUMAv9BhS+CIiACIiACIiACIiACIiACIiACIjAzBOQAmbmX7ESKAIiIAIiIAIiIAIiIAIiIAIiIAIisNAEpIBZ6Deg8EVABERABERABERABERABERABERABGaegBQwM/+KlUAREAEREAEREAEREAEREAEREAEREIGFJiAFzEK/AYUvAiIgAiIgAiIgAiIgAiIgAiIgAiIw8wSkgJn5V6wEioAIiIAIiIAIiIAIiIAIiIAIiIAILDQBKWAW+g0ofBEQAREQAREQAREQAREQAREQAREQgZknIAXMzL9iJVAEREAEREAEREAEREAEREAEREAERGChCfw/v9zQGS/8l5kAAAAASUVORK5CYII=

These applications are considered a first step for those interested in sports and following them professionally, as their excitement and features increase with the speed of competitions and the speed of play. Real-time analysis has also become very valuable. These apps allow users to understand the paths that teams move in during play. They also help users follow sudden disruptions that can change the course of a game in seconds. This clear view helps build a viewing experience that includes greater awareness of all the details of the sporting event.

The Role of Artificial Intelligence in Improving the Quality of Sports Analysis

Modern technologies have become an influential factor in how sports are followed, and artificial intelligence has emerged as one of these technologies. The engineering applications used employ algorithms capable of reading, processing, and simplifying thousands of data points so that users can understand them in seconds. The applications do not just display statistics, but interpret the data and provide predictions in many scenarios based on past performance and changing factors. This technology gives viewers the pleasure of understanding what is happening in complex matches or competitions in real time.

Artificial intelligence interacts with the user according to their preferences in following up. In the case of statistical tracking, the program or application provides a number of graphs that track the movement of players during the match. Performance indicators and the efficiency of goal sequence, time, and accuracy are designed to measure a number of factors and show the results in accuracy. These options help tailor the tracking experience to different goals and patterns of users.

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As we become more reliant on digital data, it is becoming possible for users to use artificial intelligence to predict the general trends of a competition even before it begins. Intelligent systems analyze historical match data, player data, and other factors that may affect player performance. As this technology advances, some predict that applications will win by providing more accurate recommendations, taking us to a new level of emotion, where fans have direct and meaningful data analysis.

How Do These Tools Change the Way Users Make Decisions?

Thanks to digital tools, following different sports has become infinitely flexible and unprecedentedly advanced. Sports fans can now rely on multiple data centers for a more comfortable life compared to the usual analysis strategy based on the opinions of analysts who are present and suggested in traditional ways, and thus make more informed choices. The study available through apps and programs designed specifically for fans goes beyond team comparisons, cluster analyses, and live substitutions, enabling fans to monitor the live impact on the game. This analysis and technical understanding deepens the relationship between the follower and the data fan.

For example, the user is aware that a certain team weakens its opponent's performance and does not score goals in the second half. The level of complexity and quality of the data analyzed and presented increases the appeal of the competition for fans, their engagement, and the quality of predictions. Data analysis and presentation applications.

The value of these tools is enhanced by integrating them with a user-friendly interface that allows for quick understanding of variables. Instead of being distracted by multiple sources, users can read all the data in one place, saving time and increasing focus. This provides a scientific basis for decision-making rather than an emotional reaction. With digital progress, it is no longer expected that modern technologies will allow users to participate in an integrated analytical experience; rather, participation in an integrated analytical experience is one of the fundamentals of these technologies. The value of sports tracking, which in turn integrates knowledge with intuition, has increased. This represents an increase in the value of interaction and allows the audience new dimensions of understanding.

How Are These Platforms Changing the Behavior of Sports Fans?

Modern technological advances have upgraded the viewing of sporting events from simple interactivity to complex interactivity based on a comprehensive analysis of available data. Watching sports is no longer limited to entertainment, but now includes high-level analysis, with most sports fans wanting to analyze digital performance records. They compare player levels and want to understand changes in performance over short periods of time. Modern software has become more diverse, allowing each user to delve deeply into every factor that influences the outcome.

The knowledge gap widened due to interaction with modern software, prompting most enthusiasts to seek digital knowledge. Digital programming tools have led to qualitative leaps in terms of comparability and added value through advanced presentation methods. The digital knowledge gained from modern software has prompted audiences to focus on information rather than general sentiment.

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