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Delfian Masrura
Universitas Teuku Umar
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A Feasibility Study of The Bubon Port to Improve Maritime Affairs in West Aceh District Zakia Zakia; Meylis Safriani; Delfian Masrura; Dian Febrianti; Inseun Yuri Salena
International Journal of Engineering, Science and Information Technology Vol 3, No 1 (2023)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i1.412

Abstract

Kuala Bubon Port, a maritime axis in the west-south Aceh region is one of the crossing facilities that connects shipping activities by the surrounding community. The need for passenger departures and logistics transportation is increasing every year. Therefore, to facilitate inter-island crossing activities, it is planned to develop buildings and facilities at Kuala Bubon Port. It is necessary to carry out a feasibility study for these infrastructure development activities to determine the feasibility of the development project. Besides that, the feasibility study also avoids the risk of loss. Research This feasibility study uses data analysis, including the Budget Plan analysis and the cash flow (cash flow) analysis. The method for analyzing cash flow uses 4 methods, namely Net Present Value (NPV), Benefit Cost Ratio (BCR), Internal Rate of Return (IRR), and Break Event Point (BEP). The four methods refer to the calculation of direct, indirect, and annual costs. This calculation is obtained from processing primary and secondary data and assuming an interest rate of 3.50%, and the project's economic life is set at 25 years. For NPV analysis, the investment is feasible if the results are positive. Conversely, if the NPV is negative, the investment is not feasible. Furthermore, if the BCR value ≥ 1, the IRR value ≥ the interest rate, and the BEP are obtained when the NPV = 0, then the project can be feasible. After calculating, the NPV value obtained is IDR 1,730,821,838,222, the BCR value is 162.93%, the IRR value is 5.25%, and the BEP was obtained in year 4, day 39. Based on the results of these calculations, the project can be said to be feasible to implement. The results of this study are expected to be one of the references and information for the Department of Transportation, Water Resources Public Works, and the Government to plan the right design for development projects at ports. The long-term target is that the results obtained can be used as data in other water construction projects so that they are effective from a financial perspective.
EVALUASI SIMPANGAN ANTAR LANTAI (INTER STORY DRIFT) PADA GEDUNG BERTINGKAT DENGAN METODE RIWAYAT WAKTU Fitry Hasdanita; Delfian Masrura; Fachruddin Fachruddin
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7239

Abstract

Aceh salah satu provinsi paling barat yang berada pada zona tektonik yang sangat aktif karena ada sembilan lempeng kecil lainnya yang membentuk jalur komplek selain tiga lempeng besar dunia. Peristiwa gempa yang terjadi di Aceh secara horizontal dan vertikal terjadi pada 26 Desember 2004 sebesar 9,2 Mw, 11 April 2012 dengan 8,6 Mw, 23 januari 2013 dengan 6,1 Mw dan Desember 2016 yang menyebabkan kerusakan serius pada bangunan dengan berbagai tipe pola keruntuhan. Ini merupakan faktor terpenting untuk evaluasi kerusakan bangunan dan desain seismik jika terjadi gempa. Simpangan antar lantai (inter story drift) menjadi faktor utama kerusakan bangunan akibat gempa. Nilai simpangan pada bangunan juga sebagai acuan untuk menentukan tingkat kerusakan pada suatu bangunan akibat gempa berdasarkan perencanaan berbasis kinerja. Penelitian ini bertujuan untuk menganalisis simpangan antar lantai (inter story drift) pada bangunan bertingkat untuk mengetahu tingkat kerusakan bangunan akibat gempa. Hal ini bertujuan untuk mengantisipasi atau melakukan upaya mitigasi pada saat terjadi gempa sehingga menguruangi kerugian materian dan korban jiwa. Hasil penelitian menunjukkan simpangan antar lantai maksimum sebesar 0.086 m akibat riwayat gempa Irpinia pada lantai 2 dalam arah X. Simpangan antar lantai maksimum arah Y sebesar 0,056 akibat gempa Irpinia. Nilai simpangan antar lantai maksimum memenuhi persyaratan SNI-1726-2019 tentang Tata Cara Perencaan Ketahanan Gempa Untuk Struktur Banguanan Geudng dan Non Gedung yaitu 0,548 m. Sehingga Gedung DPRA Kota Banda Aceh aman terhadap kegagalan simpangan antar lantai.<img 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Kanp8CPfvxj/PB/9qPsuOehdT3WxY9FqVTic5/7LLt27QK6I4rK5fKykOiRdRtV1d+Tpb8ny95dqx8BtF5m5n1OTrboX2yDXq45hNGNWY9mpedzknSDAC+ICIJuSBQvhkRJnJDAUqc41+kuFB2E3X3jJO6+9U4S4rh7G9u2MM1usLTSoOhcDX4Yk8Rx9/6j7srD4eKxwiDEMIwLOpq1OgH1ZgfLMnFdhzhOul879lKIvtqwqtpOmGsZjI3mibF4+0zAa8c7WDhs3pxiuMdmvp7w/eMBLx/x2brBZt9ulw/fZXN2vsPrb/j0Fy1GByx2bs5w+kyFSvPKUynnq22abZ8NA3lcx8IPIqbnGuQyLvmsy/RcAz84vxpzXzFDIZdmthIQhJcOQHrzFrmMzUIjJu1eXbe9jaUcD9w9jG2CF0Cjk7DQTGj5Cf7iGkDnpqB1AoMwSqg2AiarlVUfy056KNrb2TwyyP5Tf8zJs/8nAMPF+8iaH6Gvfw8zjX/i4NmjPDwyjNEI8WoxH9paJKDGZK3Mibf/I541ysDmj+C1YqxbaLqfiMilKCQSEblNbR3pJ+3a/NP+o/ihTcaM+M7+EySGgZXfwPT0NCMjKe4Y6sF11m+thYG8RTFjEccGpuESR73kc1mmajad0GD3JoNcKkeSZEiwCSOYr5l8+3Wf596u4rUW+PTDeXbdkV/xJ+ZB5DBVH8IpxGxa3Da2bZChYRcvgMrJ16idOnPJ2xpGd+SAawcs1GMmF+pUWp2regz60hFpK7lgFMX7wYE3T/LUN16mUm0BkM0V+eBHPs6WbVrke7394P1F7t2eW7ru2AaDvWtfXP5qrOR8PtcdrOOHhGGI4zjknO4oHADPD2i1fVodHz+ISLkWSQK2bZPNpnEdE9MwiOOEVtujubgvQD7jkklf+We/uAbXdcnnMtiL7ePnFmq0WyF9vd2F8y/oaNbuMFTqIeU6JAm02h6tjk+t2SEMI3IrrGG5SitkruGxr8/i1IzJsbMBnp+QGHByPuKbr8acnvF541RAq5NAkGIkb7L3DgfXccDwOXB0ip5snp2bC3zv0JtsbDvAxvc87t9/9xgvHjjDr/7Lh9k83MP0XIM/+LMXeXjvZh7Zu5k/+LMXOT15vtPYT39yDz/0oR38X1+bYnLu0lMYf+zhAT68p5f/8HyH3Vvsq+62Z5swWIAwSWgHCcP9cKYMZ+e63w8iAz80iBPwvZBWwyOKVv98Otg7Ry18lW+++G3OVl5c2j63UMcJ57h/Z4pSNkUxV+LjD/7XjD9zkqMnzvJf/sgv8uzCM3xv5s8ZG/Sw/DKvv/UmmWyGkZGNbNgwdFU/v4jIjaSQSETkNpV2bXpyLhmzQ2TbRIZNfWGGdNohm7YI7e4nyMODRRx7/UKihUbCTDUGw6TtdWi2O3SChCDOkE1DxoV82mL5IqBhaOJ7Brlcnmwq4btvNWh5CR/cAb3F9BVHFCUYeKFLGIckBMTM4GQCejIBMRZWHeL5FLPJQ/gUl27nBxG+H0EIftNjbsEnLro4ueGregxGChF5N1oaRfF+cfTIm7zw7a/TqFcZ3nQnuz/wUQaHt5DO5K5841vIfLXFzFyDSqND2rXp78kwXCqua5h6JdNVODLePX+K6TZDxYD+Yj/ODfjXbiXnc5wkeEFIkiSYpkkQhrTabeIoxLZtTNMkwVgcjZQQRQmmaRDHMZ7nU611MA0Dy7JIMDCIsYyEZrONYxkrCmgursEPApqt1lINcQyFQo5cxsWxraWOZo1mm8D3mVuo4jrOUg0kMSYxjWYbe4U1LNfqxFTqEbZp0GgbnC5DrWUQxiEdH2p1WGiEVBox+azDthGb3VsNap2Qybk6k9PzTCd1PrQ9Q95NsTDnUy9dud3WfLXN6cnq0mghP4g4PVll11iJXMbl4b2baTQ9jp1d4D//yHa2b+ojCBMm5zx6cjZbhlM891qNOzaklr6uNEKCKGG2GlFvX91ImjCClgdzQDuEhtc9r5odlqaYtTsR7U53RGez7VNr+8RrGOGZIcMGZ4TdIw8QhgtMtgLuuWsns8fnmT30FgejCKMxxd1VmPze6yzUp0lG5nin8o8MZfv56T2/TMqfw6qWOHnqJLZtAwn5fJ5MJr2ua1iJiFwvColERG5jjgUjfTZnY5dKKyFttrGCFlhpSqU+hjYM0Ntz9W/wkyRZWn+k2oo5NRuRGAaVhk+1VieOEzKZhI0DDkli0/K6LYct28AxEzw/otmKKeTS2LbBt787T73RJGV1+ODdGynkVvOptU/MBAlNIMaI2xiJj0+RieRHiFPblt7stdohTSMgiqHZqVNNKmQGG4RWP+X5Or3F7NL6JDdSuVzm0KFDS1+fUyqV2LZtDNddn45ilxOGEZVai6OH3+DQwRcAuHPHPez74U+SL/Rc02PfCDNzDQ4cnuLMbIeUbbBlQ5aPPZTGdTJ4nnfJzmqXs9aOa5PzMfuP+LT9kIK9wNhgh6G+AmnXXnUN51zLbnhJkuD7AbZt49g289UajWYT3/Nx3RT5XJZcLr30t2cAlmkRxTEdz2N6dh7TMMlkMqRSLinHxLUN6o3OisOZy9bg+2RSaXp7ivQW8zg2GAaEUbejWRJHmJZJpVbHMi1cJ4W7xhqW8/yERjshiqHWTpiqxDQ73dCm3oyYASzLoJC12bElzQM7Xe7abHLgRIO3T5QZn5jFMA3a7YiUAc35BK+5suA5WAyGAE5PVgkWA6P+ngw//Yk9zFfbzNc6/PQn97B9cz+nprrn0r3bc/zg/T28fqx5wdfr6VxI5IfdqWb1xYGbcQIpxyDBwDISbLqBWBCFNP2AKOlOWYzilU91s8IifcYO9u3YgRE7uNN9PLLzYxxrvsQ/v/qfePWb36Y3lWJ7scBk+R2i0YTs/SZHG//ER0r/HT+27ac4fvI475SPcnZ2HIBsNktvby8jIxvXrZujiMj1pJBIROQ2ls1muf/++6i8dJjDx0+wZ9sgswstKtWEj3zkPjZtXJ83jJ0gpNH2iOOEzSWLgYJFMwDPz+N5Lq1Wh4m5kHajhpH0cfhszGsnAvp7XYaLAXHQoVxrc+RMnflqncT3eXlugumpNltHe1cZEp1nxG0c/02scBroBWD7liH23LUZ6HZeC8KYejvBDyNmZxf4+j88z4E3T1KtNXn84w9S6l+/xZjX6qmnnub557vhzPKQ6PHHH+OXfumX1tQ9azUqtRZPffNlDrx5cmnb3nu28vjHH6S3eGsuovteKo0OZ2Y7TLU2MjF+moOHJ9h79yi9hQzj4xOX7Kx2OWvtuPbBOx1G+2MOnajwyiGfV485fPQBg35YdQ3nXMtueEmSEMYRrmljWVCr10m5DgO9g0RxQj6bJp9LX7C/F8RYcQIYpFNp0imXXC6DH4RYtoNpGPhBhTAMrqqGoYENZNIOrt3dfm4N6nOdzpKku0hyksSEYYwfRHhBtKYaLscPAlrtztJ6S+fksw47tqT5+X+RIp2yeOHtDl/91jhvnijT8ttk3bX9fU3NNfhf/+xFHMciCCKm5hpXVf96sy0o9SQM9kC4ODjKCw280CROII4c4qT7NubgiZiJxW71fmjQDrrT0Fbr/q0fYefofRTNAr1372LQeoi//dIfU52YIjOyiU/+y39N3+aNsPhyY8c55hcWeOfYUWaXPe9OTk4C0Nvbi+umWMOa5iIiN5RCIhGR29TUXJ2J2RqeF/LGiSqHTjfIpGym5jvMNSOGj01xR8OjlM8vrV+0VnEcd0cSATMLMcenfRp+o9sEJoZmp02tEZNyXKI4plQ02DFqk8saFNMWRC4/sNtgY3/M3EKE34p447DP9FyTMIyudPglCRXiZB4rPAJJg9j3qE7N0Kq0ORcSZVIuuYzL2al5PC8gTqATQDqdIZfNYJkm+VwWy3H4u2df4v7dY9x/9/Y1Pzbr4VynL7iwu9mhQ4d55plnePzxx67pJ9qNepXnn/06R4+8STqTZ+td93Pnzj03RYB2LaRdm5RtMDF+Gr9TY8vI+SmP5zqr3Xdf+Qr30lUqldbUcS3w21SqNd450yFJEsaGLVzHWFMN55xb9PtaMAwD0+h2ooqTbgc2c7GDGUCt2WGhfn6tr+4C0zEGUXdal2lhmhZJkmCbCUkc48cJ1uL2tdZAAp4XYJoGzVYHz+uOmCkWchTz2aXuZkEY0Wx5i1PqutPi4rgbOq2mhgskTvcHxSDvWpRyDq12gOfFS8FIbgC2DBhsLpm8/E6D//jcPK+fbFNpmlhOhqGSQyZj0YnAdhOsFT5N57PdaWV9PRkWqm3+/rvHVl//NdIJYL4Z48dgGUn38Y8MWu2YdqcbxnlRjLf43D8526bT9EhimziBKDFW3GBs1nuZ07V/umDbVK172SxV6H+kgr8/pjbd4fB3X2M4fIf8Dh9ik+ZsL/NnspTnZul0vKU1uVqtFtPT07z99iHuuusuRkY2EobB+24NOhF5/1JIJCJymwmjmEqzzcFjs7x6aJZGM+CtYzXGZxP6Ci0mFiLOVmL8/WfZMlBj+2AfWAabBovk01cfNEwtRBw83qYTVDGNCNMw6AQBCQ6DPQ5hnDBQtEi7ECcBcWzgGw53bbYZGTBpNk2qlYDKvMXxsys7ZpIkEPvEcZk4OYUbHiH2avi1mPkzPn47hiQhjBLiJCEIIsanqzRa3UUwojiht1ggirpts3t6cjiOyd/8w0tUq/MM9aQoDQ7hOFe3WOta3cjuZo1mhzPjk7zx6j8xdfYopaFRHvnYJ7lzx/t3ser+ngxbNmQ5eHiCLSNpPnzvKLlMd7rRuS5r19rZmRYvvbHAS29H3DFkcseQQWrxv7rrVcNqGIBj20uj8/LZDEEYE4Qxtm1QbXhUam2SJMEwjKWW8pYZkrKhUChiWiZRHGOREAQ+fpjgOA6OvbJ/Zw3AtqylGnLZLF6nuwB2DNQbDWr1Bq5jY9s2xXx2qbtZsxNQbbQxzW53M9MwCIKQYHER7pXWsJxjmaQsGz+EQtZmcynN5HyEH4R4XjcAsTHIuhbVpsn3j1T41iuz3RsnLtkUjI245LPQ7PikMwYpd2XDVvqKmaWpZMfOzPPymxOrrv9y6u2Eiflu/YWMuepOZ50godJMaHfXJV/qYtZqxXTa3fSs4YXUvW5gtDDXDYniePVB3XjzJfZP/9G7ttuRhRWZOPeE5OfyzJ+d56V//CoDNCkVPYwgR/vMLtqndxJ7aZL4/NpDURRRr9d5++23yWazlEolDEMBkYjcOhQSiYjcZirNNn/90kGee83jyEmXlJ2j3jJxcgVGtjjU7ZhaNeb42QInxmP2p+scrx7kUx8a4wd3b7vq44/0xTx0p0GS9OB5bTyvQ5LYTNayhBQxMDl0JuTlIy064Rz1hkmjlSKKuyOSUk7MXRtzxGb6ygc7Jw6ImpPE/vmOPbXZkPmzIYHXHcoQxQn1pk/HC3FTLtu2bsYPuiOgWq0Ovtdhdm6eOI45+NYRas0K1XqdF557luqZ7/PZf/U/sXFk0+UquMBE3aLhW5jvg3kIF3c06+3J8vgnHmTvPVtvcGXXznCpyMceSrP37lFsyySXcSjmru/aI0fHY557I6LRhncmYjBj9t4NPTdg8NZKzmfDNEm5Lm3Px2+3sYyYVMbFdtzF+V0mBglh4OM4Nq7bDVwtE1zHIpPOYFkWURxRb7TodALiOCKVcnGcFf47axjYloXnhwSRj2lAoZDtBkdJTKfTxnVsNm7YQE8hc0F3s2arTU+xgGUahFFEq+3jef7qa1imlG8z2tNgslLEdLOMbXJ46VBCq9PGC7vr/Mw1LN4Zt0nI8PaZ9vkbxx1SVsiuTRvpsTu05j2G8ml6sqt4XrxGvn804J3xbpjz0XtTa+p0lnJg+xCY5qWnmHW8hLbfDV4OHI4oz62t4+T8vMc7x+vv2j5Y66Ewn2JioU0m9Nhwt8XEQoVy0Kb6Top0YwS7NojRchdHg124aLbv+1QqFY4dO4bjOGzbNkYmc+N/NyIiK6GQSETkNnkICLIAACAASURBVNJoNDk1Ps933/CZrnTo6fHAb9O0s6SzQ9y3q4dGXMM8uUBvT4sk9PG8iFfeyXJHv8/dG+bp7SkudnBZnYVqnf/v756l3QlotrufAIdhQBB0vzbyYwyN7iQmTalocvcWlyAqMl+NmKtCkFj4YYCR+DimT2ymCJx+EmMltcQkkQ9xSBQkLEwE1Gej7giiRUkCURTT8RPqrZC5heridLOEwA9otFrUmy22bxshk7OZns8xCsyffIXJibNLP8eKHouORSc6P1riVnZxR7M9H/ghNo9uvGB9meuh0ezw3PcOY6d7GR7s5cCbJzl6cuqaHMt1LFwnQ28hc03ufyXu3Jzjxx4532a7N29TyNyYRdRXcj53RxKZhJFJGJoEQYQf+tDxCcKQMOx2K0tlU+QyKdJplyCMCBaD2marTRxHBGFEGMZgQCrlUMxnSKdWtmi0aUDK7U5Zi5KYMIgIw+5wlSSOcWyXwYEUPYUMKce+qLtZQKvVxjAMoijCC7ohyGprWK4/ZzJUhOMTFQb7De7alGbPWEQ7CDg1073/rGsx0pdi52iOo2fbJFF37aBNJZu9d/axd0c/RlDl9OQcm0ppBnuvHFY+eM8I/T0Z+ord83dpVNGmvsvu05u3+LGHB9gynLrs14WMyUfvTVFf9ry6sX9t3b2CCKarBkFw6SlmnVZIe/F1pDy/toAIYLZl8uaMSez5GLaFYVnEnk8h8Mh6JvPtDpkMZPIx80kDJ8zQM7OBoeYIKT+PGV2+o1oYhkxOTmIYBoVCgaGhEum0giIRufkpJBIRuY1Uak1OnJnnnVMOpf6Q3Xd0mJmuE+GQyRW4e2yY49MhrjnBcJ9H0YlpNFxeOdPDsTMR42Nz5LK5VYdE6ZSDaSS8/Oqb1BuXXiC1sDFDvjRKkvTRl7cwTRvoYaHgMVfwaSc2bS/E6wTYfpMEk8gqkLDyNyGR79Gp1Jk/4xG0LlrLKEkIg5COF1FrhsyWF2i22iSLbZXbvk8YJ2zbOsLgYD/lSp04jnmzdYbGzMKqHo9tfQG9qWjVLZvL5TLHj594V9eq693drFwuLx3njQP/vNTRrLd/AwPDY5wZnySfS1+zKW7nuG6KbdvGKJfLVOsNvv4P3Wl2u+4c4alvvMwbbx0llep2D1vPWvwgouMFdDo+tm2RTjndc9y8fqHf2EiWUl/3DWccxZhGQjZ9Y0KilZzPhtFdjDjlWMSxQxDG+L5PEAR4fgfbskmn0uRzGfLZFCnXpuOHNBMfvx0SBgF+4BFGISk3TdpNkc2mKObPrwd1JYZh4DrdxygBGos1RIsLABUL+ct2N7Ntc2m9IgATcF131TUs11dw2dCb5ujxKpmUxbZRiw/fA53Qou1bdPyYXMqikHIZ7skwkDcopj3SrsneO3v46AcH2TjgcupEi5n5Ch/YMcRQ35WDywf3jPLgntGl6+c6mr3XPj15mx97pH/p+uW+XsuooYvFcbfr21wNWq2QdisgSmIaXkDT7/6uWvU2rXqHOOk+7jEmJt2/g9UwnQ3YmXuJojaGa2O6DlHUpp218VyHuHeQlmvTcWz8fB+Jl8WrDBH7A8SxS7zYYe1y5ufnCYKAwcFBHMdheDj1vvhwQETe3xQSiYjcRiqtkIkFnyBM2D44wA/ucHiOk9T8hJwdYpsJdljFbU8Tz2/gzrsL9I65HJ5uU2mYTC7A1ihmteMnto70M9iX46MPbCe6zCev3z1icWo+TZJYvHy4xd+/0p0CEEVxd60gDGLaZJ0Wu4di7LBKyq9jJCtfbLc5dZp5/zBhp/2u70VRSG1hgXarhePYbBgapNFo4C3uW0yyhFFEp+OTxDH5TIpGe3Utxs/J2IuL767ydk899TRPPvkk4+MT79p+PbubPfXU03zxi1961/FOvvMa5amTfOfr/55f/O//9TVfF2d0dIQnnniCJ598kj/903/Py889zZED/0g67VCptmjUq0v7PPTQg+t23KlyjbePTXHoyGlKAz3cfdcmdo0Nkc1cvzWpvn804Duvd8+/eq1B3g34V58eZqR0/dfFWs357NgmluWSTdvEcXaxc1i8uA6RiWWamKaBaRqkXRvXsejJp5f2665ZdG6f7v6rdXEN51Y5tkzrst3NLsUw1l4DQCGfYXgQNkw1mJ6p0vJM9mzroT/vMDZkcOhsm5m5Fn/1bJO//ecZXDfhw3tK3L0pw94dA2wccDnw2mE6tUmG8zFbRgfp7SmuqZabSbMVYcx53SlmcXfUV7Xj44cXvnbEiUkrThMl3YAoY/m45nuHNhf71N2P8eEtj0AUd4eaGcYlv46iiMrCAq/uP8Abr72FGVmEycqOVa/XeeWVV7Bti4GBAdyraAIhInI96FlKROQ2YhsxrhlhGMnSmhHHZtNAyNZSBdveyHC/y7aRPDMNhwOnHHoKDi3P697WilYxbue8tGuTdm0GenKX3eeNiQ7hTEwcg2O0ydsVYjONkYSY8eIKpkaIbfkEgU8QeBixj7GCt6apdI4dex6kcrbBkTNNapUqYRgSRQmVVocwivGNNBUiPM+j0WwzM7dAo9kkXDaNLE5iOl5AHMfESbLmbjXt0CCMDVb7efKuXbv4zGc+s+L99+3bt+rW6iut4/HHH7viPtdaKtUdSfT4449fdqRQqVTioYceXNeRRJPTC7x+eIqJSpHj5Q7jcycYGeolm3Epl8s89dTTF4Rn76VUKvH444+tur6N/SZ3jdp8/2hAkoSUigG21T0fV1vDOfv27VvqkrcaqzmfDcPAMrqBzJWYpoGJAes8QOpyNTRbHh0vIJ/L4AchQRBQLGTxvADP7369lhFDl2NZJvmsy5bBLKfLPguVBQ4ejSi4Cffd4bB9NEezDe12d9RjJmORy0DO9jH8KqdOtOjUJtnQl+aurRvoKebXNBX4ZpFN23xw1wCdwMaxLZKExU50Fu3AJE4S4sQgiAz8ThrPj/BjmzgxMI0E1wwZ25gBVhbedzodcmaeXCH/nvuZpkGz2WJyagZvLsT0LKIkWvHzfxiG+L7PkSPvkCTw8MM/sKLbiYjcKLfuK4mIiKxaxjXpy5nkUhFHJlocGTexDZN7d8TceUdA2oWx0V4euHeErx/o8P0zMQYJMRG9OYverMU6vke6QBTFtNo+Z6ZaeJ0GpWwdHw8jamNEHRLDwSAmjnym5zyqjZWvQ5HO5Nhxz0McAc7OOEy3JvE9Hz+ImFio44cRhp3H7E2xMF/m6JG3OHb6LO3Old9seO1LT597L8cXHO72LMxVjkDYt++RNb2JX283Qx3Lp7yVSgPvGVqd29d1u1PPUqmrm37XbLaZmWtQTTYyMzvJfGWW9mKnpVqtzjPPPMPx4ydWdF/bto3x6KOPrjok2jFqU8zC6ek2ZhRf0N1stTWcUyqV1vR7Xev5fLNIkmSpxX2r4+Om0jSaHs1Wi1w2RccLqDc6uI5NOu2ua1Dk2hZbNhSAOuFUi0Mn5hjtM7l71GV0KEs+43JuFmEngkbbZ2GuzvhkmYXKAsP5mLu2buDO7dvXrabryTQNchmHdrvFzOwMA7mYOAGSBnGcvKuVfRQbtAODKH8ukrz4OdqjsjDP4EAPvcX3Dn88790jSi8lCEKmpqZ55ZVXOHv2LL7vr+h2Fzt58iTlclkhkYjc9BQSiYjcRpxUnp6eXrYPlnGNDHGYZjA1wyf23MHHP7yL3lyG7JhLKuMwH7/OwaMelZrNHaMNtm3up6fQh2Vdm5eOVrPF4WPz/OHMHFEc0mw2qCycJApaxNj4qY1YUQPHnyNKYlrtgI2Dq5tasWXbPQwN30EQBCTxYrv7qDuFZa7S4m+efYtXv/csL/3DUTw/WNGaQV67wYahwVXV0ZeOSFtrH4kkF055W6lt28Z44oknrnp01YYN/YxtqfPG829QzFk8sHsD2XR34eJz09suXjfqcs4FV2vhWiFb+2c58I7PcwuZpe5mq63hnLWOtrrVz+cgjJiaqeA4LgP9vWRSFu3W+e/ncxkM06Y836BYSNPf+97hw2pYlkF/T5Z8LsWmDQGbJhqcmZzjpYNnmW206bQTQr8biNhuQjpjMJjPsGkgzQd2DLFldJCeK4QhN7NMyuae7SW+/u3v8Y3vfK8bEC263OnUDZEuf5+DAz381Kf2cdfY+kyzPXnyJAcOvMb4+DiNRmPVa8mdU6vVaFxmTT4RkZuJQiIRkdtIMZ9mx9ZBftyEasshiVLk7Ry7tg1QKnangtmWyR3DPfzog2Ps3WrSaqco9efZWsoxMNCDbV+bxXHvGcsQRb1L1+M4T7tpEUUBiWET2j2YcQcr2rC0z/LuOyuRzuRIZy495a2/1OFRz2J2W5527Y5V1d7b00dPb++Vd1w0UojIuxHxLfqm+mawkilvFyuVShSLV98jfuNgDx/Zu4VcNkMuazM22ksh1x2ddG4K3LV28FiTl9+qcnIiwAC2DBmcW+rketVwzq18PjdbHs2Wh+O4ZDMpMim7O1py2dw5x7bIpiEI0/hBzHylsW5TzwzDwLYNbNvEdSxsE3qzMNyfotrq4PkJ0eLSN5YNKdegJ9vtYjbUl1lzt8mbxbmRRHdtHabVumdd7rO3mOeusZErjiS6ku7vxqZQKDAyMkI6nSYIAqIoolatsrCwQKVSod5oEIYXrk9k2zbFYpHenh7y+Vs3xBOR29Ot+6oiIiKrls+65LMu20b7lm1996et+XSKH9y9bdmWjde8tvu257hv+8UBzugl970W8rk0+x7aBVz7tXTk6t3IKW/9PVn6e7Ls3bW+C4Kvxukpj5cPNYEU946ZfGR3inxaXZNWy/MD2h2fgf5e0imbcxm4bZm4jr24ODWkXIu+Yp5KrUGj2SGfS7Pec29ty6TUl6XUlwWG1vW+b3b3372d++++uabMGYaBZdkMDg6RyWSXtvu+z9TkJCdOnODYsWOXDIkc22ZocJCxbWNsHL72r58iIutJIZGIiIjILeYH7y9y72KomklBPm2QTjk3uKpbT7GQJZ9NY9kWpnHR9lwaZzE1Mgxw7G5AGBfPb5f3rziO8X0P0zTI58+HREmSIZ/PYlkWzVaLk6dOvWudomw2y6bNm9mxYwebNl2/DztERNaDQiIREZHrrL9UIpPNXnlHkcvoydv05G+Of+Nu5fPZtsxLjgi61HbDANs2YU09HuVWFMcxhgGWdWEoaNs2qXQK27aJoohgWRdMgCiKcByHTCZD9hb92xCR29fN8d+FiIjIbeQTjz1GKr3ytZREbmY6n+V2lCQJcRwTRRFRFF3wvSiKiOP4ll3MXURubwqJRERErrNsPk9Cgu93bnQpIldN57Pcju68czt33rmdn/qpn7zRpYiIrCuFRCIiIteZ57VvdAki60bns4iIyPuHJlWLiIiIiIiIiIhCIhERERERERERUUgkIiIiIiIiIiIoJBIRERERERERERQSiYiIiIiIiIgIColERERERERERASFRCIiIiIiIiIigkIiEREREREREREB7BtdgIjc3I4ePX6jSxAREREREZHrQCGRiFzWAw88cKNLEBERERERketE081EREREREREREQhkYiIiIiIiIiIKCQSEREREREREREUEomIiIiIiIiICAqJREREREREREQEhUQiIiIiIiIiIoJCIhERERERERERQSGRiIiIiIiIiIigkEhERERERERERFBIJCIiIiIiIiIiKCQSEREREREREREUEomIiIiIiIiICAqJRERERERERESEmyQk2r59uy51qUtd6lKXutSlLnWpS13qUpe61KUub+Cl8frrrycs2rNnDyIiIiIiIiIicvu5KUYSiYiIiIiIiIjIjaWQSEREREREREREFBKJiIiIiIiIiIhCIhERERERERERQSGRiIiIiIiIiIigkEhERERERERERFBIJCIiIiIiIiIiKCQSEREREREREREUEomIiIiIiIiICAqJREREREREREQEhUQiIiIiIiIiIoJCIhERERERERERQSGRiIiIiIiIiIigkEhERERERERERFBIJCIiIiIiIiIiKCQSEREREREREREUEomIiIiIiIiICAqJREREREREREQEhUQiIiIiIiIiIoJCIhERERERERERQSGRiIiIiIiIiIigkEhERERERERERFBIJCIiIiIiIiIiKCQSEREREREREREUEomIiIiIiIiICAqJREREREREREQEhUQiIiIiIiIiIoJCIhERERERERERQSGRiIiIiIiIiIigkEhERERERERERFBIJCIiIiIiIiIiKCQSEREREREREREUEomIiIiIiIiICGDf6AKWzD3Dv/mfv8ShpQ2f5Nf//Ge573at41Iin3rdO3/dSlEouDeuHhERERERERF537h5QqKoTvmtwxxe2vDg7V3Hpbz+JD/8uS+fv/7wb/PNP3qMgRtXkYiIiIiIiIi8T2i6mYiIiIiIiIiIKCQSERERERERERGFRCIiIiIiIiIiws20JpFc2d7Ps3//5290FSIiIiIiIiLyPvS+CIn8yhzjJ49T9oqM7hxjpHflHb/8+hzjx45TdkfZtXWEwlqOX69TPnOI8XqR0Z0jlAoFXGsNd3QNXc1j1O2qVmbi8Dg1gMIou0YKpG7Cn1NERERERERE1uaWConmvvYrfPx3XwDA/ak/5G8eK/Pk//L7PH3Ev3DH3vv4zK8+wa99fOSy91U/8jRfeNdtXXZ+eBeNldaz/0/43d/5Ii/MXHT87E4+8cu/zq//+H0UloUo/ov/lo/98ldY2vtHnuDZ3/vEBcHUxH/4BT79ewfPV/QTf8i3f+MRXIADX+BDV+hutp6PETMv8+X/7Y/50t8dpH7JHVwG9j7Kf/sLv8RnHh5hFbGTiIiIiIiIiNxkbtk1ify/+hU+/t/8m3eHHwCVg3zlN3+CX/m7uUvf9sAX+IVL3tbn8EsHGV/B8Se+9iv8F7/45PmAKDvA2NBiTNI6zDd+7xf49G9+g4no/G3cDz/G55ZnMt/6Cl8/uex6dJhv/PnBZRvu4/M//ciaw5ere4ye5Gd+4n/gC5cNiAB85g58gy/8vy+/xz4iIiIiIiIiciu4ZUMiAB7+PH/xzRfZv38/L37zL/jtT48t+6bPC//uaQ5ffBv/IE/+zpc5sbTB5ZFf/Qu++eJ+9r/0Il/7g88weqXjzjzN7//uC0sjgtxPPcE3n/0mX/27F/nab54Pderf+l2efHZZfGLt5Cf/x0eX3dFBvvDVl5fux9//NF+cWPbtH/kMn9x6pWKuYC2PUesFvvDLf8Lh1rkNYzz2O4uP0f797P/iz15lUSIiIiIiIiJys7m1Q6I772PnQDeScQd28thv/BqfyS77/sRrHJq58Cb1Z7/Ml5cFMe5P/AF/8FM7GXABy2Xknp1cKZc5/Ld/wgtL13by+V/4BAOL08pGfvzzfH73ue/5fOPPv74skILCD/8sP7tsNJH/V1/lmQpAnWf+etlUNEb5pZ/7xJrWSLrAGh6jib/7El9pnb8++otP8NufXnyMREREREREROR96dYOiS7mbmPn3uUbXuDE8pE5+Bx89ZkLbvL4Dz24yulcJ3jt2WUT0rKPsOuCVGmMXR9advWtp3l5+ZQy9z4+83P3LdvwDF/51gSc+Tpf+dayzQ//Ao/tZv1d8TE6wfNfWz7lbSc/8yM7r0EhIiIiIiIiInIzeX+FRFd0gsMvLr/+CPftXOXwmPoJDr617Pre0XdNTxvd+siya4c5OXHhmkAjn/rsBaN5Dv75V/iTr/4Fy5ar5jM/88kLFqS+bi7++XjwohBMRERERERERN6Pbq+QKKpRu2DUzBgjq01i6nUuvdTz5Y2XL1rWOfsIj/38srWBJr7Mk//PstFJ936en/zQDZrbdfHP9/DYlddoEhEREREREZFbnn2jC7iu5iYuWB9oTWZO8PLy6wee5Jd/7isX7lO+8CgvT4zDReOCdv74Z3n0f/8tLpz8BuDyiZ/5JGPW1Ra6Rhf/fCIiIiIiIiJyW7i9QqJroTXH4bfee2yRf4kO9PTu5EO74Zm3Lv7GPvZ94KqXqxYRERERERERWRWFRFdr5BE+86md5N9rn52ld29761n+4l0BEcAzfOlrh/nEz2uxaBERERERERG5fm6vkGhghDFY1r5+DYbGeBDOT8na+iif/cXHVrnIdJ1n/uKLnF+FyMXN+viLbedP/OnTvPwzv8aDN2JZoot/PhERERERERG5LdxeC1dbRYojyzecYGK1q1AXChcGQhWP2mrrOPl1vvzNZXPQfuR3+He/fN/5662v8Mdfm3j37a6Hi3++A+PLwiwREREREREReb+6vUIiRth67/LrL3Dw8KUWDHoPhTHu273s+lv7OVxZzR34vPzVL1zY7v7HH+W+T32Wz2TP73Xwz7/CwVWWti4u/vlaL3Do5A2oQ0Tk/2fv/sOiuu+8/z/3azN22R3LXhDtDmvDJN4Zyh3RXjJx4xgTCXdBs4HkjpLcAcmKJlXSIE0jpiu4vUF3o6YJkBVto2SLkI1gNoFsFFojiQk2ZuhGx12XyW0ypCmzK4WrxtmSOqkX3z8AmRkGYfhtfD2uiwvnnDPnfM7nfM44583n8/6IiIiIiMiEusaCREasSxL8lrz2xrt4Btk6ODOLU3x6/XCUfQedw397+2EqD/hEf0xrSY03QJiN1EyfyebdlVQ2hlaysWFm3hLfSe+d1DSGcH4iIiIiIiIiclW6xoJEYFy60q/Hjrchnw177Li9wCUPziY7Q3WcMQX0+nHtWU3Ws/U42z14L135vc66cr+cSHGZyVh6p7u3JKXjF37aVYNziP2NB0tKFjaf165d+RTVOfFcArxuHM2uiS+UiIiIiIiIiIyraytxNYDBSm5pBva1lfSEOrw49q4nZW8I+wizkVuaxamccpxdvft4KZ/0l4Jsu6iAhtLexNbn69m3xyfDT1ga61N8kiTNXkZa4g4cR3pfu/dSeyKDvEUTnMF6ZiqbthxlRWETPX2eXNQWplNbOLHFEBEREREREZGJc831JAIwzM9lz55srOGBa4xY1+2m4UCeX4+e4PvIpurgbnKXx2EcbKOwCCyzI+kL8Thf3cdRn9VRmakBM5gZSbgvjf5FXqpfeA3XJPQmMqWU8PquQepoYUDtfGX6RBVLRERERERERMbJH50+fbq778Utt9wymWWZFN52Fy2uDph1I2ZTBMaRdNq55MXj8dDR+jEdF2H6rBsxRxgxjmhnU4/3vBuXs42LfXV0ppj4tZX9G2SW05wzVFhNRERERERERKaya2+4WQDDTDNxM82j28k0A8bwCIzzIxjlnqYkQ7gJy8L+YXGejg6/9ZZZg/alEhEREREREZGrxDU53ExGw0vLB76D5gxYLV/G0JiIiIiIiIjItUVBIgnNp69RecDb/zrsXmyxk1ccERERERERERkb1/xwMwnOe97DRd8FHjeOE9WUldbivLzQgO2pNQHJt0VERERERETkaqQgkQThoCwxi8orbmPAsnYPO5dHTFCZRERERERERGQ8abiZBBGFNSeNhJsjGNBJKCwCy9IMtr7UQNW6uIHrRUREREREROSq9EenT5/u7ntxyy23TGZZZKrq8uDxAmFGjIoKiYiIiIiIiHwpabiZDC3MiDFssgshIiIiIiIiIuNJw81ERERERERERERBIhERERERERERUZBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEhERERERERERICvTHYBRGTqqqmpmewiXPNWrlw52UUQEREREZFrhIJEInJFSUlJk12Ea1ZDQ8NkF0FERERERK4hGm4mIiIiIiIiIiIKEomIiIiIiIiIiIJEIiIiIiIiIiKCgkQiIiIiIiIiIsJUCxK117IhPp4NdZ2TXRIRERERERERkWvK1AoSiYiIiIiIiIjIpFCQSEREREREREREFCQSERERERERERH4ymQXYEQueXA11bLvQC1NJ1x4AMPMOO5dV0BuihnD5Q0dFMcXMOOlWlIvVPLcnv0cPdmJNywCy8IHyH0qC2uE/647m322w0DEzWYiL9fSMjZVZBDXXsuG5UWY9zaTOz+gbMHWDbu8QKedypLd7H/LQWcXGGZaMEf2r162sYqMuT3/9n5UT9mefdQ2uvBgIGL+vWTnrSf1ZuMoK1hERERERERErjVXaU8iN40v2olMymXPq400Hqqh5MFIDheuZOOApNdttNTuIOdZF3GZW3mxoordm1cR5Spj/XfKcHj7t/SeLGbdujI8tp0cPNJI46EqvvctL84zHcQ8uJXS0jTixrO8XQ6Kv7Oesv9ezM6qRhqPNFC1YR7eM046LKvY+swe0mL7y5r+wHacljWUHGyg4eAevhffwvaHsig+6Q1eDBERERERERGRQVydPYmmWch6scRngRFrZgGbzhwl/y07nSnJ+HYQOvqOgd0v52EN610Qa8E620tq5l7edWYTNxfAw7s1lbjm5lGyOg5T736TN+TiOLCBpnNeIsL9+vyMeXk9x6upbI0j77ks4mb3bpmUS+4H1Ww47sa72djT6+iSk8qtlfBYFbtXW3r3GUHyuj0Yz9/JhmdfI7UiDfPISisiIiIiIiIi16CrtCdRMEZMJuAPFwesMSxP6A8Q9YmMIBovTldfT54O3E7gWzG9AaK+N8dgWQRtnoH7HevydridQBwxs/0KQEysDdwXuLzlR03UtppZ9i0TnvMen5+LRJrnwZkmnIEdqkREREREREREruDq7EkEdJ6s5cA/19PUeoGOViedXb0rFg3c1mqKGsYeZxD5DeCsi07i+nsiXWrDdRKivjV93Ms7I9IEuHC1Q9zM/uVtrXYwzaOvBJ5ffUwbLsrWLqUs6NFsXLw0quKKDF/7v/LSvp9Sf+rX/O4LuG7GX/CXK3N5JMnMBBvPywAAIABJREFUn0y7vBGHf7CevR8u44fV/4c/bXiB4pr3+PWFL7huhoUla7LJXvwXk3kWIiIiIiIi17yrMEjkxVGaTtZBA6k5uWz9bgyRBmDadFpeXMT6syPdbwQJK9Iw5Gyn8EAMW5JMGPDgeKGISmxsvdsy9C5GWd6IO9NIC9vA9qeriXlqGSYDeBy7KaoAW2Eq/iWwUXCohNSZiEya353ay5N/f5j2L/qXfXHh17yz70lO//qHlD46lz/xe8cvKPvuEdp93vDFBSdvPvc3GIz7WDvvuokquoiIiIiIiAS4+oJEra+xvcJFwrZGCpJ8Z/Hy4u0a9F3DYliUx8FtF1i9OZ2knQBGzEtXsftgFtYgwRhvlxcIyFP0KxdN0J8PKJTyhtnIe3krF1bnk758BwDG6ARW7XqdrIX9WZaM37iRKMpwnvXCzBHmSRIZrd+f5p92HaZ9xl+y9slHSLwpnOumAb//Ne/85G8pbtjJwdsrePibvm86z2/5Sx7e8jDLbpnJdXxB+7u7eLL0HQ7/y3v8n3m3BwSVREREREREZKJcfTmJPB24AFNEwDTvXXaaDo1y3+ePUrbNybK9x2lubqa5uZGanUECROGRRAFNZ1wBK7zYjzWOorweju4qxHl3Ocebm2lubqbx4A6/ABEAN9lINUH1y4dxa1iZTJIv/vVNDnfO5P5NG1l2c2+ACOCrf8Htjz7C7fyO9/7t1wHvuou8f9hIyryZPdtPu46ZdyzjrhnA2Y8J3FpEREREREQmzpTsSdRx1o79RMSA5dNnzyPOspg0UzmVT+/AXJhBggncJ46y76d2IpdbwD2KA7c6qO8ykRcxRO8cg5WlDxio3pNPUXguaQtjMHS2YH+jjFqPhTja+rcNqbwuHA1eTE9FBvZP8jfNQkZhBofXFrFilYPcdcmYpwN4cX9wmNrpaZSvjhtpLYgMy8dn/xX4Ha/k3c8rg230298CvrmGDP3BpMv+jJlfBz78Au/YF1NERERERESGaUoGiZwv5bP+pYHLbVsaKEmJI3dXCZQWU5xZTRFGzEtTyd1egu1cMdUVozhwbCp5i1ay4754dvgsNsyMI+HB9Xwv3UrENAAD1icOUjK9mOI9G6h9um+bXErTp3Pg+NH+h11DKOWNIXWjjZVPpxD/tM/isAji7lzF+g0ZWHtjZ4b5udQcslH5D7vZl7++JxF2WASWuVaWPWJGZLx5f/+7yS6CiIiIiIiIjKE/On36dHffi1tuuWUyyzK5ulxUb1vH7nOLWb8yGXN434pOXI217D5oJzKnhprM8QrAeHEdLGTdHjeL16WRPLu/J1Xnp43U7qnGHp5LzcEMFAKSiVJTU0NSUlLQdaf3PcgPD93I2t1/x7IhE6j7zG72ylrmDnvdta2hoYGVK1dOdjFEREREROQaMSV7Ek0G18E8dpx+gKpXs7AEDIexLrQy3Z1EUbODzkwzAwfCjYGPqsl7+jQPVNSSFRuwbqEVq6GNpEI7jvYMzJrRTKaAG+fMBf6Vd5rbWbZcjVJERERERORqd/Ulrh4nnvMuMEVgHJAvBbh0Ac95MMwZpwAR9Ca4NhERHnz1hf/ugDAz5nErgEho/mThXdx+HTj3/YCdtaf59e/7133R7uKdl7dR/PP2ySugiIiIiIiIhEQ9iXrFxKdhqNhO/p7pbLrbhskI4MHtsHO4YjuVrTYKnh7HZNA3W0kLq2T7ljKmP3Evtp4C4HE7sNfvY/tLLmxbdhIXLIglMhm++pc88oNlOP/+MO9V/JD3guQDs6yZ+GKJiIiIiIjIyChI1MuwKI/XX7Swv2I/Oen5PYmgMRBx8zysyTupec6G2TjUXkYhzEbeq+VYqirZ/+QK8tt7Ul8bZlqYF7+MnQdLsEWPZwFEQvcn89ayu3Qhh//5FepOtNB+4QvgOsJvmsuSO1NY9r80DE1ERERERORqocTVIjKoKyWulvGnxNUiIiIiIjKRlJNIREREREREREQUJBIREREREREREQWJREREREREREQEBYlERERERERERAQFiUREREREREREBAWJREREREREREQEBYlERERERERERAQFiUREREREREREBAWJREREREREREQE+MpkF0BEpraGhobJLoKIiIiIiIhMAAWJRGRQK1eunOwiiIiIiIiIyATRcDMREREREREREVGQSEREREREREREFCQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEpEprrNuA/HxxThGvydqc+KJLx39nmSsjfe18eKq20FWYjzx8fEsXbGDo53jdKgvqbG7D79szrDz1ofJeP03w9u8/QgZtz7MzpPjW6qJ9xtqch9mxvNnJrsgPkK8NiIiIgLAVya7ACIytTlK48mqGGTlogIaSlOJmNASgeuldNLLY9j5agE24wQffCpqr2XD8iKaBlmdsbeZ3PkTWqIpxXu8mPRCO8ueKmfrEiMdLV6ixrLRttup/Idyao/bcZ0HMGJeaGNpUhoP3B1HxLQxPNYoeY4VkZLfwpoXq8i4abJLM0V4myn69vPsXPY47Zvi+eoEH9750pP81T/ewK5XHufbQ32eeZrZfP8eHH9dwOsP3TAh5RMREZFri4JEIjIMCeTuWoklcHFYFJMXozFimD5pB5+SLA9tJdc2MPoRGT0JhZkyPLz7RjXeRQVkr4gjAjDNHMPdu2vZ8GAR9r9IJiOnhLxZBjjvoqmpntpXW1iWEjfhQdShzcBomOwyTB2fvXOMnV3AK2/ys+/EkxI+GaX4E8JD+Dz7Wth141cUERERuaYpSCQiw2AibqGVuMkuRi/zQ1Ucf2iySzH1RM6xYl049UISk8uDpxOINY9DsMaLvWo7TeEZ7N6bizWsb7kVa1IauWN+vNEzLimg8dhkl2Iq+Yy3j5xiXvb9pL36CtXv/IaUe66f0BJYHnqG/xf4efYfL3P7jyM5WJzILN/lxni2/WzvBJZORERErjXKSSQiIl9iHbiax2vfHtyfeiHazI1hQ28tU9Cnx6l48zpS5qewMPE66l5t5pPJLhPgOP42pya7ECIiInJNUpBIRMbGyWLiU8pxXurEXpFP1vJFxMfHs2h5Onl77XReCti+y0V9aR4re5MJxyeuJD0z/fJP0ZHBMwsHS6Lr+bCe4o0rWRoff/m467dUYm/3Dni/9yPfbZey8rEd1H7kv533vAfPlX48AfsNOJ9Fy7PYUefE43fePQma8494hlUGT2MRS+OXUnTMM3i9h6CzbgPxT9TTecmDo6KvrCup/Mhnm+ZK8tcmsaivXBvLsbcH7CjUaw09eXu2ZJG0pP/65O1swh2w2XDqha4hrs15D95L4G7IJ2v5OioBKrJ62ln8BmrbARwUxy+i7DTwaT07+s658Cgehlv3RiJNQGsnHcHO2U//8TqbK8lfvbSnPEuS2FBaj6tr4Ds6T9ZSvDH9cp3FJ64MUr+htSlOFvvUQS+P0/9eXJJE+mP5VJ7oZMDdE9DOl65Yz446l/92w7w+fmcxnHYXSjmH6ZP3j/GzsHhujYVbb7+DWf/2Jm+3Bt/2s1++wpOPrud/3PowM+5cz5rn38YZ5Lr1VgLOn5Xz3bS1zLj1YWZ8+wc8uf8UnwVpJ+deL2LGrft5H8Bzip1Za1n84y44vr/nWLc+zIzcI5wDBk3GfOkz3t//LBl9x7tzPSt++ApvB9Zhb4LpJ9/s4vcfvc3OvBzm3vowM25dS+Lje6j5aOAJnTt5hJ15T2K9s7cs387hu/uCn8twffah77EfZm7aFp6sPsPvfbf55Ss8+Xh/+ayPPstPTgRPQh3atQnY/ta1JOa9PLCuPJ9Q9/x2Er/98OU6vefxwcsgIiLyZaHhZiIyDG4cJ+xcDFg6ffY84kw+yU3cLdQ++yanvKlk/+0qIo0XcDXXsK90Pev+UE7VujgMAJfc1OanU/Sre9m6twFbuAFPaw3bc8pomptF+VOrMM8KIdvRh+VkPbQX49otlDxmxRx2AVeLg3ePuPAYApKvnN3HxoLpWB8uoHyjmekdTbz2bCFFq9uYfrCE5JkADsoSs3qCC4PxTdrd5aA4M4vaWdlsemY9VhO0fXCY4m3pZLWWU5XTe969XM272fisi3kb8ihZPQM6WjhasT2gDOBubcaDh47zI30EDuIPHby7K4tip5X1G3dj/mMvM/qOV7eBFc90sCxnCy/+bRxGj4N3DxazfsUpCl4uIdXks5/hXmvAe7KY9LWVdCzMIHfrekzTwXvOTpM3Et9dDu/agGPv0sGTqQNgo+BQCam3b6Jk4TJ2J26g+oESGh/pGTA5/XLT8uI9W8uGXdUYV2Sz8xETnuk9ebacw6p7A9a7szAfLGP1d35PSeFarKYrJfvx0lq/gxyngbTVO1gVOYMLnzZRvjOflcc+pvylbOIuv92Dva6Wjrmr2PmYFXP4RdzHqil8Zj1ZXeXUjLBNDXDJSfnqdPaGZ7HlmRqs0TO40NqC473DuLoM+J+Ni335+Uyfv4qCvZswT+ug6Y3tFBam0/aV1ylZ3jOgb9jXJ5R2F1I5h+nSWeoq3Mz6q/tZaADmLuDRsCO88OZZMtfM8dv03KEiFv/wE2LuvZ9d35vHvD8+z4l3XufJAi9fG7DjL3D8+CkW7+si5TurOHJXLLM+P8v7Da+Q8cwQuYTCYnn02QJm/c0Wvsv92P8uka8DTLsuyHH6zuM31OT9gDWnTRQ8voacOdfDhTZOVO7nnrRfUFBcyMb5/l3dnM0VPPacm/k5a9i3+k+go5WG/S+zZs1vmF5dQMrl9vIZJ15/k3Nz72FXdiyW8C/45J16Nv/oWf6qaxM/fzw25ETfn7xeRGLRJ8QkLWPb83P4GvDZr3/BJxFRl/fVt83CVQ/yozXRfJ3f0frLV9j8+A94fc0T1Hyn/7ihXZveff/oM9Iez+SVgnl87b9P8fbBf+KetP/Hvn8qYOWfA5fO8vyaIkrDE/nRjgdZGB3G+dazOE78gtbPldBLRES+5E6fPt3d9yMiEuhUyYLuBQuC/+TUdvRv+MFz3QsWLOhO+dH73RcD9tHyQkr3gtt3dZ/qW+Dc152y4Lbu7e/5b/nxyw91L1iwufvNC/3LOmpzuhcseK7/vUGWBdtmoI7u1x5f0L1gQU73a20Bq357uHtj4PmEoKV8RfeC+/d1t/zBf/nFpu3dty14qPuAK4QyvOFTht+1dZ96r6W7I2C/A5x7rTtnwYLuh350uPv9994P+Pm4u686e+ppQfdtf/9u94XAff72ze7Nt9/WvfnnF/yX/+Hj7gN/vaB7wd+/239dQ7nWf2jp3nfPgu7bvvdad9ug5zF+16a7+1T3cwsWdC8oCWwdvcsXrO7efzbI24Zb993d3Rcc+7vX3dVzT9z515u797/98cD67TvePc91v/+7gFWuA92rh3mOA+o31Db1wXM9257rfd3bdp774MrH7Ws7Of8ceJAL3Yc3Lehe8Phr3SO6QsNtd8MsZ0jO/FP3Yuua7h0++zxRuqbbeEdF9wnf63fR3l14R2b3nKft3Z8H7KL1wFPdRmtmd3pde//CXx3qvt+a2X3/gcC6+l33W0+v6TZaM/2O+V91hd1Ga0X3ictL2rurN2R2Gzf8vPu/BhT637t3BBzvfMPT3UbrU90/dQVs+of27uon1nQbVx/qbg3ct7Wwu9odsP1v3+p+zJrZnfXG+QFHDXRq77pu4x0VPu2wd7+l/37lN/Ye467Sfx9Ql4HbDKy/7u7WusLuOdanun/6q94FoV6b3x7v/v4da7q/fyTgHP/Q1v3T1Zndxr79nPt5d3rAdRIREblWaLiZiAxDBuXNzTQH/JSkBKYCNpD0v6wD/qofOTMaupy4ervze9raaMOKxey/pdliBTx4Pg+tdMZvmImimn0vOnAP1ekmKZUEU8CycBMmoKm1LbQDA+Ck6VUX5rvjMXn8h9RcjIxmHk6azgQMnVuyjMWDleGsTxnCTMQttAx7CnXnS/msf2x9wE8tLr+tLOQ+aMMYsE9P81HquxJYHEvAsLpIomKBQ6do8XvH8K41HzVR6zaQlpmKaajzGPNrMwwr1pAWbCr4EOreODeD3Q2N1OwqIPXP7JQ9sZKlSXlUBw71AgzLE3wSXPeKXkxqPDSdOMVQAwt76jdIIx9umwoUbsZsguqKchxD3jzJpCYGHsSIyQQcdzGSKzTsdhdSOYfjC95+4winwu7gjrn9S2+9/Q5mdb1NQ/MX/Qs//A8quq7j0aT4Ab1mbrh9CSkBy86dbuZnzOGBOwPrKow7EheNQdl9dXHinTOw6C6SAmcxnHY999wfD8GG0N1+G0v+PGBZ+PXcANR8NPSVnDXTBF34DQ8bjs9++UsqmMN3Hhi8B1LfNgPrD25IWkYabmp+0TtQNcRr89kvf8FPumJZEnsdn53v6v/xhPP1WODwf/AhQLiJeX8OP9n/Cu//5xeIiIhcSzTcTETGkJWoWUNvZYyMwMBhXG7AZxhM569cgBHjH4d2VMP8XMr3zCD/qSxSdhmJW76StAdXkRwbZMjarEhCGMg2NE8bH7vBtSuLpbuCb2L7Q8CCaNO4TItu29IQJHAXyEpM4MMk4P70NNBGfkr9IO8LfDAf3rX2/Opj2rBiHvi8N9BYX5thsMXGjGyoUqBpRswLU8ldmEq2u4myJzeyY3UhkXVbSfCZUt1qigryZhPmWOCsx6+WPa1NHH65ltozbXjdTlzn+9aYB+5ipG3KEEfui7uZsSWPrJQyjHOTWfngKlYlWgYEEiGSyDG+QMNudyGVcxi8p/hZ9RdwZxifN5/i7b7ll8JI4gt2/kszOQtv6xkKde43nOMGooO14T+/gXngl2T6XLsbWMQNwYb4zf7GgMDF6LhxOoBEE8Fux6+abyCFX3DufMCK6ODbB/NZ6y+oPXCMmjO/4fP//A3vX95XkA+SIXzy6f9j0LoZzjaGG5gfD8+fOw+YQr42PfvuIiN1/aDH/z2AIZaN5U/w1R8+T2JqHTfcMo9HH0wh8645fG0k7U1EROQqoiCRiEy82GXkzi1nx9YdWJ9bT5wRvO7DFD7ThHltOYtH8CAaEZ/F7oYM3M6jHH25mu2Z5WxfmMuenRlYQp55ykFxfAg5iRhugGaqy6C8OZe4yS7GEByl8SHlvJloBpON3L/Lxb5iB7XHv0fC8tDbhbtuAysKHcxbt4kt22yYjADT8RzbSErhGBc4wkrWrkYy3E6OHtlP9c50yndayS0tISM29BBa6NdnmO1uDMv52Vtv8jzAW3Xc81aQDRqO8fb3byMlPMi6a8jl3EDfWcW2rVZuMAJcx/l3nmZu0WSXbqQSOfL+Km4darOIeTz+/F4e+c+z/OxIHRXPFLH5mRt4puQpHv2mpjMUEZEvLwWJRGTiTTOTVlrOf38viw33VQNgmBnHvU9WsfVuy8h7dkwzYIpNJqMwmYxHatmQXkTeASu1qy0h7iiO7CONrLnisab39HoxRnGjCcrOtOBNsY1Nr5RJYJo9F7DT0gpxoXcQGJRxlgkDlQN6jY1G3NpGGjOvvM30ie6SFMgUxTygLaAXmd3dBgP6/LhoaQZmG3vaj7eJysImrl9Xxe61/m234/MOgvYkGgMGk4XkzK0kp2dTu3EFRU9VYq3LIuS7J4TrM5J2N/py/oafHToDtzzI6fJl3BC4+j9e5vaHD1PxppuU+018bdb1zOIMre0MbMOd7oBhmL1DsWjlvzoZeKnb/5MTwLxhl3UoJixxwEduzhE7oHfQ712fUMf1fHskwS5vMz8pOsvXv1NAZUAi7/Offzai0vbVzSftcOsgnwc3zP4fg2/j/YSTzXDHnT0nFOq16dn3KVpaV3HrMNvbV/98DimrniDlITc1eVtY81Qdf1n74JQPpouIiIyUchKJyKRwHixi74wC6k705Dc6fqicvJQRDh0JZraVhFho8wTOyTY8hnAjxiv9GPvCQRZsKVFwsJrDgfO5X0WM8YtJwEnVP9tHPJ14UJbFpJm8VNfUB0zdPgphQ1ybcCOGSR4S4m1u4jWimDfHP0rgPXQUe+DU3B82UnMGEpZYewKPHg9tgCkiINJ1yYW93jmOpe41zYT19nngvjBgRsNhCeH6jKrdBSunx4XjpAvPldrap80cOA6ZDy4aGCAC+OYSHrkFfvbGKT4BuPmbZIZ9Qd2RUwNy8Hzyzi+oCVg2a2483+Ys1e8ETpXexftHjvdOZX8l13PDTYD3i2Hk/Alj4Z3zmHX8TRoC8w5d+g2vV/8CbrmLO0YS+PWc57+AGyIC5gi75Obt+pFNAz8r/jZSOMuPXz876DZfW3Abj4ad5cBbAz9QPzl0mOcxsfK23vFlIV6bry1YQCa/4YXXBm4/pGkmbr3dBP/pc12G095ERESuMupJJCLD4MZxwj7wgTEsinlzTSPoPdNJywcuro82jUkOms5D+RQ64liWbMUaHQnnXdiP7Ka42UzWYzFjcIQrszxUREZ9FkUPpuPIySZ5dk+NeM/ZOVz3VdL2Zo3or86ddRtIKmwl+6Vasm4e2zIPEJ5M7pbDrChcT9JH2WzKnNvbCaITV+NRHN/axNakEQynM8SRXZhB09p8VpxvIfcBG6bpwHkXjWcjWfNYwrjkZxqt4dW9g+LEItyJqdgWWXrOi05cjbXsPmgnKrOcjFj/d1giHOTlFJObuQxrjIGODw5TvK0cV3Q2WxN774YIKwmLoOi57ZSbckm1zOCC811qX6jGG5sAp8fwRNvryX/aQVxSMtZvmYmkA9cHjezeZce8dj3jfvcMt90Nq5wejj69krwGSCs9Tt6i4J9Mjjfr+FnYbbx+52CTyptIfTCW7+bXUfcfy3j8m/Fkfn8OFUXPk8GDPJoUe3ma9RdOGlgZhv9n4+w7yFt1mMS/K+K7nvvJvD2WWZ+f5f2Gw1Sci+bbnBmyWm6IngP7X6HwH29gy73hfPbr67j5luuDJnv+2p2r+Lvbf8Cav97CJ99fRur8OUzvPMPP9u1n8+nr2fYPicGDYUOJmEfyov2sKd7DT/48k1RLGOedp6jeVw+xsfBvI9jnzES2FfyCxKKnuad1GY/81Ry+Blxs/w9+9nk8z6TNgfDbePz7R0gs2sIKt099v/kym3/s5o7vPEHa7N79GUK8NuF3sLHgGIlFz2L9aBnbMr5JTys4zydvvYfjW1k88+3rof0I391+lluTlrBwfjRf5zc4T/6C0rJPuHVNXy+i4bU3ERGRq42CRCIyDEcpfuzowMUBeXmGL4KEB9Moz1nP0pd8lxsxL01lzbpskm8a/hdu45zFRDXu57mcHXR29e5noY01e7aSMXcCvriHxZF7oAFb1XPsLt/I+nYvYCDi5nlYk9ePeHBQm9sOYWnEB5t9axyYUkpoiKln3wv72P5YWc9MW+FmLN+yscYy8nCeYX4u5S/FsO+FfRQ/UYmHnuGFCVmbJjxR9XANr+7NJGRa2H2kluKDrt6ZyXrb3rN1pC0ZGECNvG8rpaZ6tj+9jqJWD4SbSVixlZq1yZgv936KIHVbORd3FrNv40rKugxEzE9gzYY9pEUcxXXAxZgJN7N45lH2l6xjR3tPXx5jtBVb5m62psdNyPDJYbW7YZXTSJTFguEdMM0apOSXzvL2q13MW5XIHVc4ua/deRcbw56n+vhZHv/mHG64p4B3Z75M0Y9eZsVLX0BYGCvvf5BnimJx/M2T1Pq9O4xbs5/GHl3B5h/vJ/H5LyDcxKOrHqTy8ev4yZtDB4lmLc/hSHspj/3jduaWXYdl+Sr+5ZY7gs8INu16Vu4oJe7Nl3l+7z4WF/WU79t3LuP16vu5Y8TDPK9nZdEmPv/Rfp7ftIUnu67DMj+Wx3MKyYx4G2d1x4j22lOXr7Bz3xG+/3gd54AbomPJzL3Lb5tmy9v8ZO8rfP/h/XxC77Gff5xHF14fZH/DvTb++978+OGe3mLhX+OO+fN5/ObecXnh0dwx85dUlD7Ld9t7Zje7IfoGklY9wa6H+mZmG0Z7ExERuQr90enTp7v7Xtxyyy2TWRYRuUZ0Hi9m45YmIldkkPqt/gdp7zk7h1+upP7Xy9jxRgEJUzWCMCHc1K5LYftNu3lr48Cp5mU8jUfd9yRDd30pEpyLiIiIyJeVehKJyMTyHKXsqUoiNzeyIykwCmTF9g0v9WsrcXxUQML8SSnh1OB14Ww2cO/qeQoQTTTVvYiIiIhco5S4WkQm1uceOrqCJOXt5b3gAWyYTRNbrCmn1UmTaS2p8QpTTDjVvYiIiIhco9STSEQmVkQctrmw4+kiTBszuMsSiQHwnndhP1bJvtKjmDPLWTZG06VftW7OorZusgtxjVLdi4iIiMg1SkEiEZlY08yk7aoj6mAZlTuz2NHak+63L1Ftxt4GUucrZ4uIiIiIiMhEU+JqERERERERERFRTiIREREREREREVGQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREUJBIRERERERERERQkEhERERERERERFCQSEREREREREREmCJBoptuukm/9Vu/9Vu/9Vu/9Vu/9Vu/9Vu/9Vu/9Vu/J/H3H50+fbqbXrfccgsiIiIiIiIiInLtmRI9iUREREREREREZHIpSCQiIiIiIiIiIgoSiYiIiIiIiIiIgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoJWemtqAAAgAElEQVSCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIigoJEIiIiIiIiIiKCgkQiIiIiIiIiIoKCRCIiIiIiIiIiAnxlsgswpEtePJ6LPf8OM2I0TG5xRGQIvveswYgxbHKLIyIiIiIiIsMzNYNEHhdNr+5j38tHcbR7B6w2Rluwxq9izRPJWK6xoJHX4+Hipf7X041GDNN8t+jk6LYc9jn7lyzbWEXG3IkqoVw1TleSvvNw/2vLGko3JxAxkn21O6h9uZLKuqO4zg9cbZhpYV68jYzvZmObOdICy6h1efD4fqR+mQLvniZ2PFbGKb+FZlY9s5VktbngfAO6AEzHGP5laRAiIiIiMhJTLkjk/aiajat30NQ1+DaeVidHWw9jy0rGck19+e/k8OYkio73L8nY20zufP+tPOecOM/0v7ZeQmSgSx04z/hEE8M9I9pN5/Ficp6qxHmFe9bb7sR+yInlfytINJkce5eSVdH/2ralgZKUEYUFpx6nnWrf9tyzEMfZLSTPVOAjqM7D5C8vounyggzKm3OJm8QiiYiIiMjkmlpBoq4migcEiIzELV9D2t2WgB4O04kKn9DSiUig1mo25lTi+2huuDmZjAeXYZ018ME8MnriiibXFufpxqDLX2tuIW+Rwh4iIiIiIsMxpYJEzpd2UO0bIAqzUVBVQursSStSaDqPUvS9fbRcXrCMTRUZ1+xfZR0V6Ww/0v86JrOUgsQvSa8FAbzYa4px+CwxLCng4M5UTNMGfZOMGQeVmdvpHzAYw5rnCki4Jm8xF6ca24Ku8R5pxpkTh2WCSyQiIiIicjWaOkEir53aCt8v+QaSt2y9egJEAJc8dJxx+vSqsE5iYaaA8/7D3iKvMBxJrkYtNB3wTXATR+73FCCaSP6fN5F4rtWhpZ1Oms4Mss59ipZ2rrGhySIiIiIiIzN1gkRnmnjNN4hgWsuqpcZJK87UFEFqaTOpk10MEYB2Fy6/BXHEXE1B3WtQXE4zzTmTXYqx53U6fPLqgDnajKu1r3U2YXd4SE3U/ycDzEylpFn/o4iIiIhIvykTJHK7nPj2STAkxmMZaY+ES148ng7czjYuMIMoi4nIAbOADXM/nW24XB1cNEYRE226eqfz9nrodLv4+Nx0oixmTFN9BpuxuobD5PV4uHjeTYv7AjCdSLOZyD8dg+nb/c4DZphiMBlHOIPQKNuj97wbl7ONi7NuxGyK4Ev/yHy5zUOkOQbzCJIX99XZBWMUMXNMIc0E5j3fSVvrx3Rc7GlPURHj137HndeD51zP/TG9r/2EUp1dHjydffdX730QPh3jGE2t1tL8ms8rCysfSaV2847LvazqHS1sTRxmz85LXjweDx2tH9NxEZgeyY3RkRhD+Pzxejx0fNpCm2cUn12jrPP+9je29T3ic+udSc3jbqHNw4jqVURERETG35QJErW57H6vE2LNoe/kUif2FwvJr2iiM3BoU1gEtsytbFltJWLAF9JOanP6Zg0zkFb6OqkdZRQ+Uztgxibj3DQ2FeaR7Ndjws3RPa/R4nHS6re1g+o9ZbzrsyTyL1eRNr/38fxkMfFrK3v+nbiVxm023Ef2se+nh3n3w87LQbP+Gcx8yxm4bnCOF9az9IQdv7mrwq1kb9tK1sIgCUx8ywWwqICG0lS/xOGO0vhBZ0nynKxm/3sduD/w323rW/soc/+pz5IY7l2XgMl3ozG5hlFkV9SSFWmn8h/KqT1u75+W3fdcLnVir3qO3RX1OIJM2w5AuJnc52rImDvI+sF4mtixOp/q1kFmDAuLwLbie+SuTcY8INAz2vYYsLcT5eRvLsPud45GrAtHcI/5ijBhBp8eHA5aPoW4UHoTjbKt9R23OD6Lnr3EkXdgJ+bGfPL2BGnzT28lK35gm++s20BSYc+ZGB4o4fXUDsp+uJ3aD/1C11ju28TW76UGuWa9LnlwvrGb7aXVQdqUkbgVuWx6LBVLkAidbxmi1lVRuzoSe9VzlNc1Yb/cjmwUHNqK+dh+3u1w++WDglaO/rSMNt99W+4le2n/HTZmdYmBiCXZ7Py/GcRdIdrYeaKS5/bso/704PdB3J2rWLMuDZtppAEMFy3NPtcpzEpMYgwd2+i/X946jfMJ65XzEnmc1L9YxnMHg3z29DJGJ5CauYY1KZagQdbO5nIKt+ylqd3rvyLMQnLOJjbdF4dxwGfXGNb5FdsfPfX92B7KH+i999tr2TDM2c1Gdm5Au53Kf9jNvkMOBps/0RidS8nBazd/n4iIiMhUMkWCRJ24/aIrBkyzQuzn4HVSmb2a4pM+X2DDzZhx9QQIujpp2rOee97L5cWyDCyDPo94qc5JonqQtZ7T1eSnt8HBEpIv57jowLG3nMoBWzuo3+v/GGczPUBasKDOkX2s+1Uhzg+9QVaOjuOEfeDC83bKHruHU1sOUpJiGrh+FLy/aqJ8b9OA5W3Hqik/5rskg8W+QaIxu4Zt7N2azuEPnQHDoXxcclO7cQVFx4ao7/MuOkaS5+XzDtoGCxBBz7lU5NN07GPKX8ombkzbYz933QZWFDYx8Cw92E84Br4hFNNuxLwIuBy0dFD8Qj13/W1ykCDeRHGw44Gk4KvO2ylbt4KOXQ3kLRw8IOE9sIGkA0HX4Hy1iPRPL1K1Kw1zkEDl0W3ryKvzaXVhEZj/1IOr3Qt4cBwsIr3ZwY6yAhKukCOnraKQ9HonztZga724jpVTfnzAu2g6UO437IrMxX5BotBcoS7x0nmsmKzVFwZpv14ce1azbq8zSNvz0dWJ41Ax1fHLsKWMMON2u8M/H9HtcZinxeBZDhzsXeZ+k1OtWVgGm13PXU9eZj5HBwsW9/K0HqWy0ERCimVAQGPAveZ77buc1D+dRVPzVqq2JV8hb9do6jxI+wvU1Ynj3BU+lwYx4nNz17LhwaKAGUsH8rR2hFwmERERERkf/99kFyA4K1GzQnuHsyrfJ7hgwLaxhuNHaqg50kzdZht936e9J4vJr3IOtpvLbE9U0XC8meYTx2moKCDV9+Giq4ndb/jvIzLWguXmCPy/txsxx1qwxFpIWJFF3rZycpcO9iDk6g0QGYi4uec9fT+Ro3zg9j2XumfT6O8/4qWpMJ/qT0e3/wHCIrHEWjCH+y82zOw9p4XJZOQUUFKxyu9BayyvobcvQBRu9qtLS2/w0dtcyXbfAFGYhdQtVTQca6a52f9nqJ5aQc1MpSRgP83HGqjakorFtxdKaznFde4hdxdqewSgvZbtfgEiM2nP1nH8RDPNxxuoesI2ghPzFUFCSrJfm/ceymfdtlqcoT+HjqEokjdX0XiimeYTjVRttPmU0UP1xmLsQ8Vi52awu+44zc3NHK8rIc2nvr3NOyh6deA18xx5jnyfB3TzAyU0NDZQc+g4jXsy+u+71lryS44O2qsCgK6+AFH/Z0jPTyTGaWCcZcESaw7ozdL/2WFdnkHulhKqHhxt34wo0nb2tpkTx6nblUVcQPutPjbwTLzHi/0DRNGpFFQ09OynuZnyzFEWy4fHYfcLjFnjYzBiICbWt307cZwdpMYvuaje7BsgMhC3djd1fZ8FhwoY8k4JuNcMy7devva+n12eI4WUNQ51c4yszgPbX2CdX/7JCbFNjPjcvNirtvsFiAw3D1KmQXoviYiIiMjEmyJBojZcA/4qHgLPUfbv8vlybFpL9grz5S+vppRs1vr8Md21az9Hh/iebo61EGEAphmIiE1l08Y0v4fhtg9a6Lz8Ko6MiiqqirMD5jNLpaCiiqqKKnY8lU1aUhzmK3WQis2ivPE4DS/1vKfvJ+ShTlc4F9OSPHZs9P067qCqYeigWSgiEguoqqiiIMV/uXVdac857dpKbmYqtlifgNk4XMOEwgaaj9T41WXV5gQiANcZ/941lse2UpBiIWI8c06FRWBJKWDP5gS/xY7jDp+2FFxo7bGHs86/V0ncxh3kLTH15P8wRGAZyZDOAMal2Wxa4h8addUVkX53Ehv2NuGalGBRNFabpWfoyzQjlgd2snOFTxm7qqkZ6kH9WwlYe4c/GUw28p7J83uIdVTU4/TrYeakprTep00lsOYR2+UeVcb4NaxJ7N/a21BCzYdDnEbiVhpONFLj234rCkiIiCBhc8+//VMOW8ku7tlud2EuGSm2MZjRKxrL/+xtM9MMmBZmszUgyFB/JrDnipvXXqj2qYsosgsLSI2NGJfcM64zR31eRWH9nz0fFBEx84jyLWezI2ivJm9zDcWnfRYkbqFknRVTCJ8Fzjd87zULuVn9velM9+WSG3v5aNRXHB68hyMwsjoPbH9jV+cjPzcXp9/x+5Ql9+/Grx2IiIiIyNiYIkGi0fGebqbe53XUfTb/pNfTLNju83tcoPl0aMO6DGaLfwDouIu20It6ZeFRRE1ANmHzwmS/3BxtdU2MbZgodONxDU2mwYevXPT4X70ZhunDL+woGefa/NvSWTehDrYYuj26OHXMd4mF5NHmIApmmonUnQcpCJw5qquTpj0bWLl0Kev3NuEeYrjJ+DJgXXqvX1Dt6LHAfC9DiF5Msm+w1l1L00c+r1tP8aZv56KkZGx+PemM2BKTfV638eYHVw4VYDJN4rC9wZnmBPT5OOvyD1C2vkutb9AlNp2lsYwTJ81HfD8HbP1Dym6ay1LfTQ+domXA+73YG6v9gkdpKQkhJnV3carR514LsxHjN6zNTEy8z8sztdiDDiMc3NB1HtD+xqzOR3NuF7ng1+FuBtOn+HwJIiIiIvIlCRK5nP75b+bOHpiDwzTbvztOk3OIB7Qvs+gYbL5/JXefwjVUV5ZxNtHX0DjLP4Wtvaoa+0T1evkK/sMS3Re4ONbH8Lhw+OZpGfBwN4ammUh9upGGXdlYwwNXerDv2UBKynoqz4x9vq3hMsyJ8w+qvdMyRG+OQCZi/PIYtXHqbP9N4znr8Au0Rs2JGhBoMH7jRr+eLU6HK7RA1VUisC6Ij2EcwpM93C3YfQMRS+KI6btM024kZonPuq4mWgYEZ1w4/Xqx2rDMCTGSEXivzY/yu84AUdH+Q99a3WN7L4xbnY/q3IyY/AJVdioP2vGMJMebiIiIiEyYL0WQ6MJv/ftQREYO/DuwMTLS73WbZ8wfy68iUUT55dnp4MIkP61O9DU0L0r1z4HRWsn6u9MpOuhgLJ/fvJ0uHCfqqd5TRtmeaupP2HH+6uKVk/mOBY/Hv6dBkIe7sRaxMIvdDY3UPJuNLXC6+fN2ijPTKQuxB9/YFc7k/9Dc5eViiA+rUSb/waTei/3tz+Pxj7JGR/i3VQDCI/CL03k8498OJkFgXdiix6/lec7Y8U3Lb1lo8ZkZLwLLQt9gsJMmR0A0/NKFgN4uZsyhDtELvNeGoa1jbD9wx63OR3VuZhan+PeAclWsJ2lVEdUn3XgVLBIRERGZkqbI7GaRmOOB5pG8N3BmtGE666KTOEY4n86XjBP3ELP6jK9JuIaz09i6pcl/xp4uJ7VPZ1FbGoFtRTZrHkwlbqQ5XTwOKp/aQPGJSYq+tbsIMqfd+JtmxLwkixLbSpxvFFP4TG3/NOS4KP+/ldx1IMt/KOGkcOHuBEaRs8f+aQf0zs3X8ekIart3iOCX7TNoRHUxIl4czb6DVA1YLf79Z8wWKwb6E2g3nWnBm+KTyLzTHWKPsiAC77WTZeRkBsxH2OF/FLt7bK/8uNX5KM/NdN9WCo77zyLp/bCWHWtrKZ5pI23dGlbdHTclh1WKiIiIXKumSJBoesD4Gztt5xjVA5zIUEwpJbxuKqdwy16a2n36dHR10lRRRFNFMdacPZRkWghpAMolF9U5Wf7JcAFjtKUnGe4fOnB92Pml7EVy2TQjlpQCXvyGkfS1lf0P4q17OXw6C8tIZowT8RM4VOx6XD8vo+w9n0UeF9dDf76uQ3ZaNtqIG8+gRFcnzjNX7n/jvVpv/lDPbZqJ1J2vY3qxkPyKJjp9cpN525uoLGyistRKbmkJGbFKWCQiIiIyFUyRIFEEpmjg8hd+L//t6ZkOXmQ8RcRnUfJ6Bu7Th6l+oZhKv54/Huyl6aRfqqJmtWXQfQxwutY/QBRmI2/vVtJu7h1C117LhuVFNAV985eLYX4uBZnVZFX0PTl6cbrcMH9gzimRkAQma6aNpgPlV76vuhpp/iiXuJvHsVwmG2nLLfzplbaxBBmOeDUYyblNi8C6toSGTDeO+mp2l1Zi9+252jsU1ftSDVnjeV1EREREZFimSJAIIqMs4JN6s8npgkXDeTAPDDAN0xzzl26Yx8hZQ8/DMaYm+RpOM2Can0rurlSy3Xb2btlA+cn+P4e7du2j/r4dJA9Iyhyc2+X06yUUlZndHyCaKDPNWGFyhpwFiIq2gs+ju+8wrclj5gqT3w2LdXb/w3Dk7BHU9iLzuOeJmgwjqosR6DwzklkZ27D/u5usm3vbX2+uqlEFbAPvtegE1qxLndD/X8atzsfy3Awm4lJy2X13Nu7mveRvLMfhMxS1rLyelU8nhziznIiIiIiMtSmTuNp8k39S2LZXh/8AMOPP/B+1OoIkBfV0+E8yHmWcuCnPp542XH4BmQiMk/zNfKpcQ4PJSvaPXyTbL8PwUVrODn8fgflBomdOQq8Bo9H/Qe5kG22DbTvBDJPRQTAw94xpBjNCHHLU5va/rhE+N43R6P/Y3Nrp31YBON+JX+oto/FL2VcysC56ctSMNS8tDv/Qjm1LA83NzQN+Gp9O9i9Pc0v/rHLTZjDDL17Zm6sqFIH32vmLXAhxF6MVWOdNrWNU5+NxbtMMmBZmU74n2z+Z/JEWWpTMWkRERGTSTZkgEZY4/L7Ku/dSe3x4iRvMFpvf69Ofugds4/7UP0GMzTIOkzL/sfHq+Ctoa4v/35xj4zD7FnyaYUweXqcbh99PYspcQ4BpFuKX+C/qOH+VTVZujOJG34ffoNN/TwQvLWf8H+at3/BpF2PU1oYshdPh31tkbnSIfZlctPh9HkVx4zd8gkRz4vDt99h2tm3A9PaeX33sF6izxJlH+XkxPSDAMTUE1oX3eMvok0MHutSC/ZDvAgu2uOD9W4yxVvz+BNHQjOPypTRjWeS7sgmHM8SEQUYzcb5TvZ9pxjnBEwEE1jnNY1Tn43lusfH4f+p34OkaZFsRERERmTBTJ0hkXEzqA76Pi16qny2maRh/1TXMjfcLMLW92oTT9y+Sl5w0ver7eJZM/NxxeDQ1RvYkJr7MjuOjsT/MaDmPVPn10opLWez/F91ZUf4PVccdtIzgy3vkLL/uODSdbBk0WfOUuYYAdOIK6DkUGTn8x/moaP9HH/uZwc97/FiwpfgG6ZzUNIY+OGe0vCfLKD7ouyQO21yfh/kxamtX5uHdN17zW5KwxBpagObDRmrO+Lw2pWK7yed19Dzu8g3YNNTT5Pcw7aHpiO9MXFHc9a3RBjkjMc3xfd2Eo2UKZESeHVAXZ2po/HCMj/FRM42+7STMRkz0INuaYrD6BdOacF4OmBqI+1aC3+avvfHugADflQVO9X6UfQcn+F6LXkzqXJ/XZ6qobR6LtjCO59buCghkRRLCx6yIiIiIjJOpEyTCgPXhLdh8gyyt1Wy4L538inocrZ14znv8f/q+AxsTWPWYzwOXey9lB514LgF4cR0sY69PxxTzY6tIGJcvozFY7/ENXDgp21U94X9VHpS3E+fBPNbt8Qm2hCWTkRjQHWFmDPP8FtWyMacM+6c9Fe51O2gexvCriLk2fB8vqCum+Jgbb7AhBVPhGno9eD51UL0th+1+w/GSibtpsDcNFBEzzy/XjPdgMdvrnHR6gUsenE12JqJTjyUp3a/+XbvyKarrrVOvG/sxx6iP4Q28J8978JzvxHWyidrS9ST5zmwGmDNzuXe2z4Ixamv+WrE3+Zznng3kN/g8MJsyyFg6ROP54Ch2d897PGdqKfqbMr/zsK1NxeI3XM3Cypxkn15RR9n3QhOdvW298/hu9h3p39qQtIGVo07SG0HcIr87jNrSYprckxwommYhda1voNRF2d8UUXumJ/Qysmvqr7PllP/wyeXziBl0awtz7/R93cabH/RfTePSDDJ82qC3IZ8Ne+y4e+9X1wfOIe9X0/I1pPn83+Xas5qsZ+txtnuCf96NORPL0n3bXxuVT6yj7IS7///Jke55jM/N6/HgPllNUe52/959SXGMU99QEREREQnBlElcDcDMZHaWtvhPmd3lpL40n/rSgZvbtjRQktLTK8GSvpXcptUUn/QCXpp2prP0BTNmXLh8gjSG+blsTQ9hpqqQGLCmb8L2ehFNvX/l9h7bQXriDt9SU3CohNQJTBRduTaeymArwixklW4hYUBC5p4H3r1P1V/uAeM9Wc76+8pDO/Dse8nNrCGrou9quqh+IoVq320yy2nO6XnQndBreLKY+LVBayWAAduW7NACUjevZEPSXvIuByZc1BamU1s4gnKOxuw0tm5pYkVhU+91HOtyOChLzAretoIwJhZQ8lhcwPCyMWprftqo35ZO/bZg68xkFGYTN1QntNOVrE8JfmaGJQVsunvg0CZj4vfYmuIkr66nvbsObCDp9QjMf+rB1e7zpB6dytYNCWMyNNW0PJeMl7Oo7ItitFazIcXvDiNjbzO588fgYCGIuHsTBW+toOhY73m31lKUWUvRmOzdw6kTAfmI4mKuOGwxJi4ZXurvyeU84aTzgd7E94Y4sgszaLr8/44Xx971pOwNoUhhNnJLsziVU46zq3cfL+WT/lKQbRcV0FA69omtjYlb2JPp7P+87XJQ/lgKA++kDMqbc/0D+FcyinNzlMaTVTG8YxQ8Njb3hIiIiPz/7L1/TNRZmuj9uXFTZsgt4xtYO2+xPaG6J1vEjOikquKVss3AcF/QTlP2u0hPGmRXpLOi7wJtBjQR2LyAdwT6toX3Cm5Gy8QG05Zm26LTDWRs2NelzDpF3tYya6hOt0XGl8ptFzLGuuNeKm3q/aMKqN9UFcUPneeT8AffOt/vec5znvOc55zvOecrCMtjHa0k8qPY0cD1L/to2JcXN2BUbNGQvTloWKDQUPkPn9N3xEDm/FvPp0GTCxmZGI708fk/VKJZyUNQVEa6L7dg/MvomSi2KFEmeWBucijR/7KJ8oJ4550oydvXQN+NAY7uiC6nsqiDG6fLyYvyRS/FXxppuTpCX9VSZw4pyDt2gb4jsbb2KFEHP38161CpQp8Tf0ii3FZCw/nP6SlN9uAXJYVtN+goi2bDSvRH+hi50ZT4IG0ZqEq7GWg1oskI+yFDg7F1gJFz5cs4E0iJaufS5+oot5XQ8PF1Bk8bUUWx/fTYWjDZ5O3URJTL/ywzDTFsPoRtevQR8vjr7vPu6OWATApPmRloDSrL89mgCSIleWUtDFxuoTBdk8QZeTT8Qx9Hd8aohc1qslbU38Rggwpj9+fR2/5mPfptYdeSeV3xYhLHSPAFDYat8adclHn60PNvbjsI3pmn2NGA+Wo0v61AszMv9Ct0GTF8+46jDNxYou/KyETzetYKncOlIK9ugOunKzFsiZWDEvVOVdKTMamWTfmaPtTHR5HH3xf1YFyH52sJgiAIgiD8KfIfHjx44Jv/56c//elayhLJCy8ezwxu5zTPgI2vvYF6s4KNSiWKeAOfkPs2ka1RkbXUPSuA1+Nh5vEk0x6/DMoMJcrV/JzRCy8ezxzepy4efT8HKerC+3SW6alHzJDFGznZZG5OoRAvvHhmp3G5ZuC1N1BvVqKM95zVqsMwG0OZTa5KubSNJfP84HKrMlfXBoLlcLuYdD9jkyoXtSq9uvR6PMy98Cxbj6nZmgOTLnhFU2C13n/04J6aZNqbxRtvZpMZR/Gzg/UUtwWtTqkyM3Esd6HuNqags4WyzG0kS60mO3OFfdBzD7NPXDz6HrLUarL+oxJl+OTgWrBge3MLepg8H7rCZC1WO8XC65ll+rtHzCiyyc1RofyfVur3tS9ujUpkJdALLx6Ph5mpR8zMBfquTCXKVWz8Xo8Hz2zA9yuzyVVlxfe5iZJK2Z578My6mXT7v422SZWLSrkxPfIIgiAIgiAIaWV9TxIJgiAsSYxJoiRW60SdJKpbjbVef4p4GD1VQNPCaiANTTcGKI918PRa840Z4/u9i2cglfVw56RhVb7KJwiCIAiCIAirzbrbbiYIgiC8wngnmfjnoP8z9OS+HjP1muN2jIcckm3YGv/8I0EQBEEQBEF4mZFJIkEQBGHVcA/2Ywn6fL3iHQO5a3FuUiJ47FiuBH8FMA/Dz9J95LQgCIIgCIIgrB/W19fNBEEQhJefwHlowXjcDsY/68X0mXPxYoaB1r/Wr/nKHP+ZWsEXZnB9PUZfdy/2oC8rqmsa2L+OVz0JgiAIgiAIwnKRSSJBEAQhvTzopaCmP36aDA3V57opSdeX3lJmlqFTxbTfiZ9KWdRBzwd5az6hJQiCIAiCIAgriUwSCYLw0pO1VYNm8T+UyW5fyshCs3XxCcT9bLewJCo9DWVuhm6P43ziDflJsUXD7pKDHD5UgibZb7GvCEpySyopeWHDdteFJ+w39U4DxqoPqdwp28wEQRAEQRCEVx/5upkgCIKwonifepgDNiqVKNbr+UPzeD14ngMKJcqMtRZGEARBEARBEFYXWUkkCIIgrCiKzcqXZ5uWQonypRFWEARBEARBENKLfN1MEARBEARBEARBEARBkEkiQRAEQRAEQRAEQRAEQSaJBEEQBEEQBEEQBEEQBGSSSBAEQRAEQRAEQRAEQUAmiQRBEARBEARBEMXGhiAAACAASURBVARBEARkkkgQBEEQBEEQBEEQBEFAJokEQRAEQRAEQRAEQRAEZJJIEARBEARBEARBEARBQCaJBEEQBEEQBEEQBEEQBGSSSBAEQRAEQRAEQRAEQUAmiQRBEARBEARBEARBEARkkkgQBEEQBEEQBEEQBEFAJokEQRAEQRAEQRAEQRAEZJJIEARBEARBEARBEARBQCaJBEEQBEEQBEEQBEEQBGSSSBAEQRAEQRAEQRAEQUAmiQRBEARBEARBEARBEARkkkgQBEEQBEEQBEEQBEFAJokEQRAEQRAEQRAEQRAEZJJIEARBEARBEARBEARBQCaJBEEQBEEQBEEQBEEQBGSSSBAEQRAEQRAEQRAEQUAmiQRBEARBEARBEARBEARkkkgQBEEQBEEQBEEQBEHgJZ4kcpzToauzMrvWgkTFi2uwi+oiHTqdjoKyLkbXp6CCIAiCsAbMYq3ToTvnWGtB1g9PrNTrdJjurbUg6xGxl/XI7GA9Op0JqRXh5cOBSaejfjDdA7RknruexosrpQ/hZWXdTBI5zulevo7GY6O9KJ+Kq66Qy947Jira7KiPmBn88jo9dUa2Z66RjOsQ19UK8ovasXlWOeMXbqzH8zF+bMe7ylkLQsLE8CurkvXtdgr2VND/3apnLaSRlfWxXmxn8sk/Ncpqu3DhT4c1ixMiJaH//XwKTtvE3gVhnbN+/EZirPvx4hrGo8La82drLcCrwKYfbQz6z8P4Fxa8+S0cLcsjE1BtWSvJ1jNKFBuXTpVOZkc66ZzYT3eHHsXqZi0ISRPqV1Y1Z5TSQF4BVsrHKjAcaWV3UTN9b/8TTfliLMJKsfpxQkx+pGC9iCIIQjzWkd+Iy8szXly7eFRYS9bNSqJ1zUMzxmhb25QGWm7doe9dVdBFD55Z4Cdq1tNk8HpC/f4Ad241oF/NsYXXwScXbOQeO4AhYxXzFYRkiepX0otnpCnqtg3lnhbGbvdhfH3FshZWgRX3sZtLOHzkz7F83I/zxRJpXzgxl9ZjfbJCskQjVp8trDqxfM1SrHqcENNO1VRevcPY8fX+csnD8MmV2qq4ks9+mVgLPYjuk2FNxhcp8xKMF1chHhXWiATiJJkkSgDnHSvTCaeewTWxgsIIKeGdGKbfbcBYoF5rUQRhjfFgGxtdayGElxxNUQWaqYsMPVgiodOG1b0qIi1mmVSfLawcL5GvWQM7TStPbYzeegmf/TKxFnoQ3b/CyHhRWDsSiZPW/yTRrJ3+1mqK9+jQ6fIpPm5i+LvYJ8rMTvTTXFNMvk6HTlfAgUYz9vA3Q/dM6ErNOF/MYr/STPW+fHQ6Hfn7Kmi6aGd2/s2ox07voQIqLkzDnXaKdf6DxRYPzA495Ms90kz1viP0A1yp9qfV1WO1mTHq8um6G01u/1uCuIdwv/Dgut1P87EDFARkyN9XTdegK/JsnRB9+ctUUbX41x8U0Hu/G8bUOP/MfIprurB+E76R14FJZ8T8TZhu9xRT0WjGHk3oML3603ZhexwQMcZBh4nJA7N3g+tYR0FZBU3nhnHG3IPsxX7bAlsN5IUv5UxGt+HcM6Hb04tjvrxF8/fXYxqJcf9zF8PnmjhQFJyXE0/I23gHJl0+vQ+Ax8N0zZe1LXAGSLh+dQUcqGrC9KUz9MyEQLrasoKFeqhu7Y9sD6nUcSIkrNs05R/QbcW8XooOxLCLJfSLF9eIiaZ5vekKOBDUhipOjy601dl7VkyNFQvtTVd0INSHzKcbrEd3ahRPWP0XlNXG0Efw4YGBA1t10f6C2lEi+n5spX5fMc23CPJRQYfB3jP5fVa4jSSl2xWwJeb9w6KuC8qaMI2Etx0W2yXgHulaaCftY3EOKfC4sAW3lXn/E6evWSDJ9lgdrMNYtnJ8mNkXHhxX5m3lAP2/9fcj0d8oB2zk5DAe4hwm+ySyf2jqthEyNk7IRwE52/mFyovldqxVIh7s56spqOplGhvt++ZtNtK+Qn1/AQeORdf9ku1tyT47GsE2a15o9/n7qmm+4fCX+4kdc7B8jaaF/myBpPqSMB9TVE3zFTuzP8QQMdE6iYHnm2D9+v1O8zVHiH3OTgTLnk9xTTP9dyO1lrAvS8TXxGmn8Q5E9n5nXfTb8/1amKjx7g/9bSk7jX1gdmI689/ffMuTuJ0nGeO4B+spLm1mFOivWewfQnxFwj48hWcHPT9+3+Yn0VgvKi88OMP752PNWB4E3b8CsU8yOl46vktjnjH1uxJ9pd+W67+c9edxfHGsFa0NJvT8BOzSM9IUPS4BeOHAtEeH8aLTL2GMdh+u6/pzw7iexyhmgn110s8NIuZ48QnEP0A6ym+JjmlTkjsN+YW1C13RgZBxafutJQLDRH1XSrGfM1S2PcVUHPP78XnfFe9DWZG/LY4vZif6aT606IOi6jiFcWSi7TtmLOlIPE5a32cSPRmmvqwZ+18Yaeg4we5cBTNf2+hvaWQuKzK5e7Ceso9m2FvXyuW/z0PpcTB+w0Rt2X1aPu3BGLxazj2J9eOvuO81cvTvD5KlfIZr4jqXztVy5AczA0fyUGRs5+DZC2SdrKCLJgbO7EUFsGEjyijiqt46Qc/OvfQV1WN5r4exD/IA2Kj0MLetl64xOw07DaFLlp+MMnQLCk8Xxllu6Gbssp2sdxu4cDIP1cYZJof7aGo7wDQj9JQG7nzuwPS3tVh+fJQLAz2olV5m7l6i6ZSFZ+92cOEDA9mBpN57JipqrGQdOUHPMT3ZTGMfNtH2fjWuiwM07AiWcppJaxdffT2H8UgHB49v4tljO9d/Y6L2b/8X5qtHyZtP/tyBqaqa/qd6Kuu6qX1NAXNu7HfmyIqzWjFReTy3mnnnpJO9J/11rMLN5MP7jNlmIOY2MhfOO6DYl0vkOqIEdRuL51MMf1zH5IZyDp8O2NEdM52nDmBzBexoIa1fN9bXjnLio1r0Kpj+egjT6Qqqp8wM1AWlxYv3Wyv15y0oy47S/YEKz8ZslHgYbX2HJudemk5epiNPBe5JHA/HGH/Kol2+cGNtLKPdsZ3Kug5qf5IFHhcTVzqpLRui+txljqZaxwmTjG6XmX9AtxZFCUfre2h9fRPPZu4zfKGNisFROq50URJif7H0C+7BRira3Ow/bWZkZxYKj4vrZ4/Qe3s71RdbOPhmVkDPHuyDVma2HaT7mB715jncty20fVRL9XMz10PqE3g8QV9zJ66tH9L00WE2McPk6CU62yqY/rPP6dkXy9Yy2Xt6jMLgDuCFi0+OVtOfnUt2MvpW7aXjalaEj0IRzaOlqtv025LfP1hQFB/lw+5W1MpnzDwcpvd0BdaxDgZOl6DaECyzF9dgPfWfKjlwpJva1zxsVMUp4+MxLt3Lwlh3gZY8FRufTjJ0oYn296bhyx6MMc8JSK49dv6PvTScvExHnhKPYxzLuVreedjCjW5jqPw/zDB+vhqTU09tYx/qH3nZ9LMsvKpeLv7WztEdYVtfHn+F9Q6UnytECVGDGb8O+5nZWUlDRy2qjeD93o7Nm8VC9SXlozRs+zl4JyZxkRfFtyrZXtXDhawmKrqh6WoXewN63BhcFd9eorFlI/q/bsHcqGbjjI2bH7fRfmiajTd6KFnQfQLtLck+e5FpJvubuTb7Bh829nBYCa7bJtrOVONxV8PgBOq6BnoOZcHMfaznuqg/tomBz6rRLNRbov7Oi+NCBdUXZ9AfOYG5SE/W80nsw33UfeSXMkSXSdVJJO7Besra7KiLj3LivIZMYPbxGI8y1Qs68adxsL2qgY4PcsniGa4JM53H3mGo5gKXj6TgyxLxNcm2UyDzaxMVt7MwftDNwH/Jwjs5juWCidp37XSE2EuiJGinYSSrM9dEH40fu9he30TPoU0wM8nolc4IO08lxlEVdXBjcx8Fxy2UfzxGbV6Y/En78CSe7S8dl5qb2bjjIC0XT6DeMIPti07aovRtycWeYczHNRNqSmpO0KfJBGZxjT0i63VlaJo0xz6J6jixdpqmPKOw4n0lMOO4RGP/DPq/7uBCzSa/T4zVBuM9P0G7VOaXUEIT1ttujGWhhuqdGMbyXENDkSamvLNf1vNOqx31uw10H99NbsYM9tv9NDfPETGUTKKvTuq5YcQeLy5xYywSGdOmoo/l5vfCjbW5gvbf76fj4giGzQo8U9fprOvFtq0a88mDqF9LY/yZjD2/cGI+VMHFzdW0fnQdfc4mnk1N4viXIVzPFcvYXuxlariLOqeC8kNdHMzaxLPHNszdzRy4/SgyBk5iHJl0+44WS/54O6pE46QHDx745v/Wkvs9Wp9We9Z3f+HKnO93Xbt82rc6feN/DEvsuuY7pNX6tH930zczf+0PX/lOvbXLd+q3z0LT/vDId+1vtD7tr8d9c/PXvj7r02q1vtL/+rvFawEmf1Pq0751PkiOGd/NvwvLa1Fq31mt1ldnnYm4pu25H5Jyxlrn02obfUN/CH3C9PVDPq32lO+rMLGX5plv6ITWp/1waEGuZ7895dNqD/mu/T443Zxv/Ndan/adS77J+Us/TPou/ZXWV2ae9IUy5xv/9S6f9uA136Pw8rxz1ve78Hr410u+Uu0u33nH4iW//up8N6djS+7XRVBdJyHP/Z5YdRGHZ1/5Tmm1vrovEr0rUrdRiWNHjz495NNq63w3v1+8Nmku82n/6pJv8ofQtHO2Tt8u7fu+a675KwGdaw/5Pvk2PNNoNhelBMONfltwhf3ww7Tv5oe7fNq/ueZbrKLk6nh5RNPt8vP3210UX/HH+76zf6X17eoKrqN4+p30XXonPL3P53Nd872v1Ub6l5iyBPuQeZvX+ur+MbxhxNZH7Dqe893vK4uurwji6DvMR/l8voBNh9ltKrpNpy39EKiTYB8eYO7rs74y7S5f578E/RJol9q/+cT3KKytJcUfhnyNS/qNBNvjb0/5dr11yvdVmP+f78s6bYvyz9vKrl+P+56Fye/vLzp942GKePTp+z7tW52+380FPyPMx76j9e368KZvOo5OEvdRofn8Ls4z/WlCbSrwi79v1UbpL+Z1v4Refb5k++xozNtseLkDbUe7K6R+fD5fErYcpf393l/nhz59FJY20N9ptb6zXweVL8k6CSGgx7Ke+xFtJzxNpDw+37S1zrcrLKZIxZfF9jWx22mEDS/YS2Qc5fvjuK/zLa1vV1A+kffHe3YCdhpchqR0loCdB/mYlGIcn29Bn8G2M09yPjy5Zy9pD8FlSSr2jMQf15T5zn4dW9oVjX3i6TjZ+C4NeUaw4n1lHFuO0gaXen7idhkYD0bYR2B8E1SnEW177nd+uaLoxB+nh/YzCffVST43OrH8Y7y4IspvyYxpk5Z7mfk5/TYdYne+QMySwNg3Kd+VrD1/f9NXl0DbiueTI3+L074DNpSoLiPGkUm273ixZKJx0jrebjaJ/XMvirKSyIOGc3Zj1IVe8kyMMvy8kN1bwfPUs/jnySJ7K/DlfSZD7lBQ/J8jDyLM2pIDz5240nzIZuaevRQyyujd4GVvbsa/cKB4z8jupGePlahUwA9zC1dm3E4gj9yQQ2cV5G41gPsZCym/s2GdUrP3Z6pQXT2dI0u9HR7acIa9ilbsK0QfXg9ZmeTgxemaT+zENjiNouxw6KqtpUhCnuwcA9zp59KIK+Gl9vy7Bw+gViV6NFykbmMT3Y7UbxnRY8PumK9vJ7bPXKjf1qHyeELKOZeVw3ac2B6GKb3sMOVvhueXjTofbFcuMTwVawmlB/vtUcg38oucsJ82qNhbth8eWBmfCitJQnW8XGLrNvX85+0uiq/IyMN4QIP32hj28HWb0fTrmWbaDXrNG6F1mpOLHvA8X3r7kd+HREtnYO+e8IYR0MftyYTPUPHe66X9IlS2HY3UVwTJ2HI0UtNtWm3pOxtWt4LyEkNEO1PsMHJgqxfLmD1iWW75B+WoN5A6m1X+tyuxtgABCbfHsWG8P99NLqFt37M5m1zgpmMy7B4NDb80oAyTX1VUTiEWrMHLp184GRtwkl1ljH1Y57wOq8JWLIWQvI9SZCgBF+7luIdiI4XhzSKge9vU0q0idntLjux3DUGrgmCh7VBOwc4wxQZs2btkHxTZ/mYf2HAQ7Xw8BYai8rBrKfQbQXgmxhnFQOUvY682mk8T7bw+VUk5+3FgvRP++eP0+DJIoZ0Wl2DYHHYtw0DBfvDemsCZxKNSJSWd7dnL7lh2/u2ixlKKceKSYv+YFCUYi2LYwx3Xoj2kEHsuMh/XVHIw5mqjtYp9UvCdKxFvrVZfGc2W47TB6M9Pxi4V6N+uIfvhAGMPg9I9HcV6Awp/uZeYQw6nnZvPo+vEH6cHk0RfndRzV4MEx7Rpkzux/DzT00yjR6MOTanW6AEPnn+Pl0dqvithe96sRq0CyxUzDvfyY4hgorbvwNyF7e790KMIEh1HptS+o8eSibJ+t5t5ZnA/B31OdpQfVai3At8uXnE/fgBM01w6HOOB4QagJ/u1tEiaGJsLOfCegtpPh3AXl/sd2tQ41gcKyuuX/mrG7D0r1/5xGNvUM2amnMzO72vMX0yzKUsFuHA9IeTsnekpO6i2L3y+1fP7R0zjoremgN6ouRmYCwtO9Kpo9RCGZ5pH7lh1Fue2JOTJLO3mOp00nz5AwelMDPsOU1m1H70q9YWBieg2NjHsSKVGA7jmBy8B3bjOV1NwPvqTDGGDUcPW3Ch2kYnxzHU420xbWQFtWwzsr66kslTPogrcTD0AiqJ/MUGRo0GPBffTsJIkUsdJkoxuU85/CbtTv6kHXMw8BYLaRVT9KrPIzIChqWkI1t4TFy5AmRF6h2fKxtCnVqwPp/G6nbgWdBrtgHQ1Cc9TxuK5nd7Wfqgxhy2Z97M8W45CirpNpy35/YMeddQoUI16BzA1g4fgGjOg+UkSPuHFLI4vrmEZseH6wwyubxb3oxvi3phEe3Q3U/pljMdExCd6csMHOQCbDRQWQfOYDU9xiX9psNOG1a2hIs5y+/g6nE+UvI9SZmUBCZ4lEovXspbYCrZIcu0tOXIyYy+035hggJVI+5v5fgooQB1tW9SP1aH2lkKdBOOPi2LklUgahRqNDizfh9dxGnwZkHQ7hZj28sZPDHA16GXYCpKSznJUCX3BKO0xToo+PDmyyEqgEacSey4SP65JJM2KxT4ptNOViLdWpa+EmLYcvQ3GeH6ydqkxYFT1Yr3jpHqrv6/z3B1llHJ6CmIbn+d7N95YOpmP0xcuJN5XJ/fc1SCxMW365E4sP2VWJgqGcLkJ8S+zv3cBSpQ/iidsKr4rCXtW5NFwuY9NrU1Ul/ai3FbCgV8e5GCRJuVJlXmit+/5uQtPWMiX2DgytfYdI5ZMkPU7SZQSlZgnGshbazGiEpgJv2ZlfKqc8hxwjg3gVNXQui3efV4c5yqovqHAWNdAx/+VS5YC2LCRycv51AZNlGX+vJzyjHo6z1jIPbkXlQI8jj7ar4ChzUjoEMJAS9yzNlabROVRoC5tYeDtBlwTo1iv9VJfakL9bgfdJwvjvCWPRuK6TReG1gTOOVqKDDXGUwMYj7mw37bSf6Ge0nNqjK3dtES8zVsrVl+36SGPvcfyMHe307Wjh9o8JXjdDJ3pxJZTjXnPYjCycCbFkRO0njbg3/a8Ec/tRkrbVkI2D6On6+nPbOL6B+ErA15Wfa8DFva8G2mo7+BDTZZftxmTXMqvXTpgSrQ9VpmZqFtu76Sk8N1yFMcsDD0uofx1L/YvLjK9rYHdywgEgknGR3nTsIInUVa/vSXDyra/tPQbrzhzL1bPFleWdMY465H1FnumD2mnK8gGDSVVefSes2KvakKvcDP06SiK9/rS/7n7tPTVAgBb99KwzUxXRxf6s7X4Q+oh2j6yoa4xp7CLJs1k6qk+P0al28norU+wdFdg7tbTcK6Hyq3pNqyXj/W73UyZhSoD7O5oC5dncYctF1W9vg2wMzkVJfl6YasBo8rJwJgT//LU6ShL3MOYuknnFReFpy7QUqZHvUWJcrMSpRK84aekZxho+rSDwn/tomJfAQVFBVScm2Hv+dCDA5U/foNsbDi/TXNQNV9nCWwRCLktFXk2KFHvNNLw8QgjF8rxftZEb6wT7Df411C5wvdEJKPbmNiZ/j7K5alJ7AStPFFm84YKbA8nl/5qWqJsVqMvbaDn8xH6yrxYT/Yy6gFQkbMN+NYV/QDbKSd2NKjCl+ynk7ToNkECuo1ld67v7EA2WQmWV13Wg/mYEsvxUgqKCigoq2N4ywkGLgcdNue10d9m48+PXKCvpgTN64HybVYw9+8zaSlWOO7BZpr/WU/L6ShLaVdK32nWbUoi/PgNsrH730RFSoDrHqBKfDVKxBM+76R/qpDW3hbKd6rJ3BzQHd7k2upS7XFiMi1vFhU6IzUqB8N33eC9z9jn3vjL7QHlayoUMXU4nyh5H+WZmSZ9q0risAbtLSmSaH9Zr+UQc4ve99PYg/9fZr8xn1e87fP+2ClGGq8L5wRo4h0sutpMuaP2a9MuO6g2LayY9uPFE0Vxj761LUuEVdFZMjFOPNaBD18QZVmxZxaqnxAzrvGzRrHPSsR3qYixwn3lAlHboJfJh7YobTAGKdilqqicwuc3GfvaC4/HGX6QTc3b8XdizPd9UeP0WXdYn5x4X53cc1Nj5t+fRV50u5a1pXY15A5hg5ryc2aObrZQ/65/XPrOr4bJ/tUA5oiXneHCrp7vUqg0lFR1YB4ZpCXvPqaT/aF6fjpHZG24cT2MuAjEmrtwMTkBKJVh5U5sHLlq7TuI9TtJRC76dxR4vxzFHj7IcY8zdDv0klK3m0KcDPxj5H7b5ZGJ+ieAlzQsY/bPhE9/ZsP5jQ2rOy/uFgEAPDO4AFVmWLU/t2OLWA7pYfR8G863zdyZmGBiYoKxG11U7wyL4N80YFSB5dMh3GnZ8z5PLrvLsvHesDCczJbqZcqj/JkBA3HOi8lUocmAqe/DBhNJ6TYWXkZ+G2lzzrHrOClkt27+2RoMpdlww8JQvIFaKmxQos83sLi/V4m+oATFHStfhU+avnAz9KkFthnTtvIgKmnRbaJoMLyrxntjGFu4r3huxzrgRPFeQeJvm767TvtlJS2D/jY0cXsE80kjmuCieDxME6V8L1zYh1fgVAy3lc6P7Oh/dSL6eV9J6dt/jk5i5xSlWbep8KYBY44Xy7Atop15J6wMPFRQXrD0lt1YeP7gAlSEq847YeNmKg+M1h73FMLDAawTaeidNvh9iWNwHOfEGJbnJZTkLxEWaHZTrvJiuT4c9XO4gURJ+6hH39pgq4qsOC86Mn+sBrxLnO20BEm1t3T22QmSRPvL3GYgDxtDt8OV7MX+25GI8wSW029k6goxYKN/MLZPUuoKKcmwYR2LHB64v7BgIQ9jfqrb+ZLxNQlyexR72HYhntsYuwnZpYaFFdPKrGzAhjN8FddzO7Z/inxsMna6sjqLkt9SMQ6AKrBVMUL+NPjwmM9OkmXFepnof+4/r8kaY2C24rFPPB2vVHyXjO5XuK9c4PYQ4+HlfDrO0JehbTA+KdjlZgOFRf5zV5x3rDhURgxbl8pGz/6M6HG6+/YQodPFSfTVST03WZSotoLza2fEZm733dHQFwnJsqJyR8d5o52Lm1oYvOuPqe98aaapNJEtXWsQf25QoX9re8g5vsrXNPBwAmd4v+O2MzoR/TFR5y6+GeP6Qyjcow+byElwHJnW9p1YnLSOJ4kU6CtOYHjaT32dCettJ+4nLhwj/TT9apSNe8LUsLmEhlYD/3a1luJjZobv2rHftWO/O4zlTBPNI6mfrJmdY4CJTjovO3A/deN84E55IkpVVE6h+ysumb9ielsJu19f4gbNbspV0H+mC+tDN56nbpwj/TTVWGBfuCt24RjxolJlxTeSDRoq2ypR32mn7GA7ltvzurJhvdBM9WVHiqVTkFfTTuWWYZrfq8U0aAuqg15GY1VBEvI4LlbTfMGK7aEbz1MP7oc2LGdMWDIM7P1PsV5n57J9H0zfnSSkX0tKt7HQkPmgiSMf+2WanXIwfKGaQ+ddqI8dpiRohlvzfjuVOTbaf1lB+4153dixDfbSXGMmMa07MB9qpnfQhvOxxy/zbQvtH1tQ7NnL7sASbmXBUU7smaSrqhrToA3n41lc94Yx11XQfk/D0eP74648iMs9EzqdjuZbcd5qpkW3iaN5r4XKLRbqq5roH3HgehLQS009/c8Laf3rxAOj2cn7uDarifsV2Ew9hflgP9uJ+a6L2aezuO5aMf1tM1NbC9NRpEVeuLCcasf2Visn9ijDDvz0+A/PTUrfmah/ooCrXXSNuJh94sLxXey6TKduw5kdrEenM2L+Jk6iDRoqmyvJvlFPRWM/w/dczD52YrvRzqHj/TwrauVw+MHCSZD7n8rJpp+uj63+NvXYyfCVJg7dgP1LBaCJtseiBlr2/Bv9R4qpvTi80PbtIxa6GpsZTvJDCZriCvIeDtP5G0tiHz5Q5HG0rZLskWbK6kxYbwflf3504a1wcj7K/+ZKocuNfyKQSo0BO50fmXE89uB+6CDpMyKTbG/p7LMTIpn29/p+GqrU2E7X03RlGMfULO6HNqwfH8H0RBOxXX5Z/cYWIydaDUxfOETFqf6FuMg22EvztcCdmws5+isDk90VVAf3YxdrqThtR3Okgf1LxSkxSc7XJIJmzxyfHG3HcjvYFzVioYT6skVdK3QFlGdM09vajmU+frxtob3GhHtrlK0kydjpCuostRgHyFSjzvDb4PDULLNTjoUzu5btw+M8OymWGXtmvn2Clj3T9B6poPnKcMi9lgf+NCsa+8TTcVriu+TyjGCF+8oFkbZ56K8Lt6UmhsPa4FIkb5eB7dZfXqLzCyd5VSVLT0gp9FT+ysC/Xa0PjdOvNNH4zxsjDkROuK9O8rnJoWZ3aR7caqP+wnwfYWf4Yi2HlvvsFZU7GrNMfu3iz/9CZHwS8gAAIABJREFUldIKl5WMP3kyTPPxLiwjDlxPPHieuHCMmGk/b0ddU0huIJk630geo7T9qnehTdlHzNTWRJmLmJc700FTyNxFL9U1vbhyjnK4KFwTCY4j09y+E4mT1veZRCojPTdUmLu7MB3vx4OCzD3lfNjejf5fGxm9FZa8tIeR3GEu/eYSncd6/TOwm9VofmbgsCb1BViZb7fS96SN5svVlJ5XkLmvg6vbEjuEMILNhRjLmqm/AYWn428RAPwHa53vgXMmTFUW2lGiLjDS0NmD4XsTlivBiXMxNho4cKYU3ZmgyxmZ5P38ILX1legDQit2NHD9SwP9/72PS821/gM2MzLRbNOz94NlvAHLyKPh8gC5ly9x6Vw9/U/n8z/MiThVkKg82Vt1MNBP88V2f/1mZKLZuZfWy0cpibnHXUGergRujGJ/YlzcC5+UbmORhfH0OVRfdtJV147rKShzCik/fZ2jxWF6zMij4doIhoGz9JkbqX3iBRRk/uV29CW1CR69mo1mJ/Rfacbc5g+2FVs07C5pZaCmZNEmN6gwdo+Qe+sSl37TTEWbZ6Ee+m5Uol/GeQD+A+cM6PPiVWg6dJsEwbrtOYLpiRc2qyksbWXgUAnJNP/MPeWUX6yntqA/5LoypxDjB7UcLVajIBPjaTNz3SYuNR6g97mCzB2FHK6/QHnmKK5raVy0+8BK1wPgQTOlI+E/zp/vkJy+82oGaHnejunUASwoUdf1cP3NGHvw06jbcKanbJBRiS7iK36hBPuHs3UmZp8H6uPUAIeLNMtaXqvY0UDfx2A6Z6LiWnugbA10dxuY7rHQH/fuVNpjJ7UX/GmVORr0ew6jSXa59Ou/wJjfRfudbI42JhYkKXY0YL6ay6XfXAr0p6DYkkdh9YlF/SXjo6bsWB8q2H8sNzyrULYYab0wS1vrRarf7UWxpYSOT/KS3KKWXHtLa5+dCEn5OwV5x8wM5PTReaGN6nNe2JxHSVUt5+o38smt0dBnL7PfUJX28Plr/Zz9zSe0HfMfyK7MKcR4/L2QNPOxU3NVuz/W2lHI4fOfUxm+EjlJkvI1CaCv6uFwhpW+rkZM92bxZmSS9/Oj9P23SvTB7Uihp2mgB8U5E33HrXQFynTw+DkqN14j/1ZYOJykna6UzlKLcYANeRy93IK3w0RzmQU2q2k4ex31Zpbvw+M9O0mWFXtuUGHs/hzVwFn6Pm0LtIVAW/s/g9OsTOyTsI5Tju+SzDMKK9lXzjP7swY+f9uF6deNVJyab4MN9P1DWBtcihTsUqEroRwL/Q8L6TiX2HSf3wea6ew2UX/Vbw+Gsg/p6NDjODlKiMdNoq9O6rlJonq3BzOdmMxtVF+c18thLnTocTaPMrScZ6+g3JFkUvjLcsx1tRRcDb7ub7eHjxyl5M04EcwKxp9sVrN7yyif9Byh64m/P1Dm6DFU9dFREbQV7vVyei5DZ88l2mrMeOdl/2/d6J2NjEb5XlbWux2cUw3TeeYI7VMev8xlHVyvKYny5bXEx5HpbN+JxEn/4cGDB775f376058m8XghVdyf1VJ6OpOusQ4K07Z50IvrRhtHLrjZfaScktcXq3n28RjWCxbsmxu4fqMyDd+BeQnx2ukqqmXy2HXM76VJA/dM6Gpcr+whjLGwf6yjdqqFkXPGlRt0rRWzNky/asaWdYDKd/So5jfXz7mxj1joH3Gxt3uEljhf0xASxY31SCmdW83ckUMiXzqcF41UDBoZ+Kw6/rl6giAIwivALNa6Ytp/Igc7C4kxe8dEY6uNrLJKjD9TLUy8eL+3M/RpP8P/3166vmhJ41h4rXFg0lXjSvQQ+3U+jlzfK4leSdyMD9pRvNeX3lPdv7PQdOYB712xUh2+RWKnHr1imuI2O44nlXE/h/vKotBz+FcGij+6ju2dphVYUvmngn+LiaFs96s3QYSH0fON9L/WytiZkogZef0eNd6RavofuGgpkABp2XhdOCcUlB8RXb50PB3lkyv/RknrAZkgEgRBEAQhFM8ovSf7yTo1RldxRESN4cdehmv6cXzXQuGONZFQWIJ1fCbRK8rDYQYSOJE/aTwzuFCRGWOp57P/OQMZatSv3sg+YTLfPkGL7iami441/QLFS43HheNhIXv3vIqG5MUz44UtmdGXbD734AEMOdmrLNcrypQTm6qGvdvWWhAhObzYLjQzqmvlw4i99YIgCIIg/Mnz7x5mnkf5oEMA7zMPYECd8iFhwkojK4lWg6cunJ5NKNxD9J3q5d+Kuziw5IGoSfKXesoz+uls7WXj8f0YAqfuetwO7MOX6LzqwtDaTd6f8lvfDSqMH9/BuNZyvMwoC+mYSPPBzOuGTPIMedDdRfuPm6jck0uWAvDO4PraRv9vTIzmVGIuehUnyNaAv6zGOrjWQgjJo8Bw8g531loMQRAEQRDWJ5l5GLZB15l2VI2V/ELj/6iS96kL++1+Lp0bRV1lZu+f4u6WlwSZJFoNHo9x5FAvnoxM8va1MFBXmJbD40LIMND0mRnNQD+f/KqM5sAhXIotGrbr9tJ9owdDjrz1FYR4qN+7wOD/bqH3WhfVZ1yBz48qUW/VY6gyM/J2Hpl/yhOtgiAIgiAIghCPDWrKzw+SfaOX/u5quqYCX7YMfFCq8uIIxh3y0nU9IwdXC4IgCIIgCIIgCIIgCHImkSAIgiAIgiAIgiAIgiCTRIIgCIIgCIIgCIIgCAIySSQIgiAIgiAIgiAIgiAgk0SCIAiCIAiCIAiCIAgCMkkkCIIgCIIgCIIgCIIgsN4miWbtmI8Xk6/TodtTTMVV51oKg7VOh+6cYw1lWG3+FMu8vnGc06GrszK71oKE4MCk01E/uL6kSol7JnS6eqxP1loQQVg+s4P16HQmxIOHI33bukN87yrxCvXXgiAIwqqxfiaJXriw/KqWi8+MdN8YYfBCKw356rWWShDWPx4b7UX5VFx1rbUkUXFdrSC/qB2bZ60lWSesYH15brdTsKeC/u/S/ujl8cKDc8RE0/uBlwA6Hfn7Kmg6Y8H22LvW0gkvIevW1l8aXPS/n0/BaRt/yq7Ze8/EAV09VvdaSxKDl24yLTAhqwv7KzpARaMJ6711Oll1zxSQtRrL4/hJPbeaA2lfxgl5/6Rh3AnzJ1bqlzWx+JL4lrWMnQM61uny6bq7RAz0jRmjTveS+YFECfiLuC/DE7DZJXg5xiHrr9382VoLsMB3Yww8UFB+8SiGHAADqrWWSRBeIjb9aONaixAHJYr1LN4asHL1tQmlYoUenRJeHOerqb4yg76sltZ6NZl4cTtt2Ab7sO3Zj+H1tZZReDlZb7b+EvIjBX+yrtnr4GJHP8rG6xgl4EwvWyvpOGYgc/7/py7GRi7RWdOPqagJc2s56oy1FDAa2WSrHFjvuCh/L9ZLag+2W8Nkq7KZXq8Ti+uFl8S3rF3snE22ahrLmJ2GnQZidWXO21amVdlki70tk5dkHLKO2s36WUn07BnT6FGvdkf9wom59FWcnRVWhYdmjGu9HUxpoOXWHfreTXPjSVPZ1O8PcOdWA3oZzPlZqfoClHtaGLvdh3E9Tbo8vonpigvDqQH6TpZTslOPfqcBY1UTXTfGaMp/RQ1jxfoWD8MndZjupfu5LxdRbV368yRQU3n1DmPH9TEHJ686s8OXMD8p5/A7smo97WxWo9+pX/wrLqfp4xFGLh9FfaeLiubhdbaNHmAbBUUanANjOF/ESPJ4CMutPIr3bVteVushdlwxXhLfEjUWW93+taCoHG5YGX0aI4HXjvXKv1G+r2DlhXmFbfLlGIdEbzeekaY12yq/biaJZt1rtFXGaVu/y4yFdY/zjpXptRZihXiVyyasIrNuHIB61d8ArDEr1bc8tTF6awWe+yog/bmQMC6+umFDUVaCYd2taHl1UW6rpudUId7bbVxaapvNquNBvdNIntuKLcaRqO67wzi2laBXLW9DiMRX65RV7V+nQVdAecYoo3ej25P36zFusp+CPFbcXsQm1yMebGOja5b72k8SeRyYGw9Q1mYDbLTvC+xfDp41e+5i+FwTFfvyF/Y2N50bxhnRphyYdPn0PgAeD9NVEzj/om00yv4+D/bz1RRU9TIdnG+UPZ/e74YxNR6gQKdDpyvgwLEurN9F79xmJ/ppns9XV8CBRjP2uG81A/sxT4XL6GH0lA6drgLLVJg8d7oi5Jyd6Kf52LyM+RTXNNN/N3I+eHawHt3xYWZfeHBcaeJAkQ6d7kDccx2831mo35NP/Wfxou9F3c9O9NN8qMCvzz3F1J8bxvU8eTlC9Z5PcU0X1m8ia3L2brDOdRSUVUS1j0TqZnaw3l8XAZvzy6WjoKyWrkEXC7XusdN7qICKC9Nwp53i+X33YbPwCdvDrJ3+1mqK9wTKetzEcAwbi677sP3j90zoSs04X8xiv9JMdaDt5O+roOmindlYb8mSKBvMhZZvTzEVjWbsYWYX7TBdzzfBdeuXq7a1H/uT+GVe+r54h3TG+e2HWewXg+u7CdNIUH0HlyVgH9Yz8/VVwIFGE7bH+M/eGewK0nc1zTcceEL0HUWOsHrS6Qo4UNWE6Uvnol9IJE2s8ysS9aHLsZtYbFahAdzfJxhUh5ez6ECUvP1+s/7LWb+fOL7Yxqpb+yNsEGD2nhVTY0WgzpZ+Lh4H/fO2VtbPwmuMJw6swbqcb9cLeSbWtyTq34JxD9ZTXNrMKNBfs3jeR8Rbz6X8VxAJyRFsFwvtxN/PWB74087eNdNUVhBkXzbc8ewlcCZD862wvDyjNOt06KoshL468mI7E+SHQmx9ZfrzcBKzoegk6vNWrz5SOMz7SXA/FfAL3TaCIwO//Is68vtSZ5gPjMNq+aopO9aHsF+XG/lbQj4oFl5cI6ZF3esKOFBVQcX83+nR9LypD8hYW7YYa1W39seJN5PorxOJgZaBsuAA5Rlebt6dXFaZUvGhS6L+Bcb8aS5+YY8s6wsnw1ccFP5yL2/Euj9Mb/n7qukaDLL/JeOrBMYxSdd9GkiqvYX6Fs9IU+zzdF44MO3RYbwYNCu3lA6D8ojXVy89NgiNxWL2r/+vE3OpjvzuKDYRVj7PWDsFugLabydohxl6SsoUjH46ROQIy8PoZxb+vMqIPsZEdqJ9Utz+J43jmVTGmKnhwKQzYv6G5MchD80YdfkxVosFbPfkcOzYO4aOlyr70jFAWJ/82Er9vmKabwFXqhfPdzv3Lwyf1KE7ZIliM0uVLznW/kyijFwOnDJj0DVR0Q1NV7vYuwVQKP2/P3dgqqrGoijhaH0Pra9v4tnMfYYvtFExOErHlS5KQl5Qe/F+a6X+vAVl2VG6P1Dh2ZiNMiJjJdureriQFZYvsDE48beXaGzZiP6vWzA3qtk4Y+Pmx220H5pm440eSrYsJnUP1lP20Qx761q5/Pd5KD0Oxm+YqC27T8unPTH2vGeyu8gAbRM4/r4Qw/waM4+d0REFigwnwxNuynMWb3Y5bbC1grwtQfm2Odhe1UDHB7lk8QzXhJnOY+8wVHOBy0fyQpd8/jDD+PlqTE49tY19qH/kZdMWouO20njIhOfQZS4suT3Gy9RwF3VOBeWHujiYtYlnj22Yu5s5cPsR5qtHyQsWJI4c3nsmKmqsZB05Qc8xPdlMYx820fZ+Na6LAzTs8D/Ic6uZd0462XvSr3MVbiYf3mfMNgNBTjWpunk8QV9zJ66tH9L00WE2McPk6CU62yqY/rPP6dmXCRnbOXj2AlknK+iiiYEze/1naG3YuGBrCef5ZJj6smbsf2GkoeMEu3MVzHxto7+lkbmsJVQeD/ck1o+/4r7XyNG/P0iW8hmuietcOlfLkR/MDITbxTwJlA1g5p86qXumprzqHEc/ymLO+RX93V3U/u3/iqzrYL4xU/3+RZQ1rfQc06POeIZr0sH4LRceRZy1oKnetyQzWE+VwbYGGs41kJsxg/1WH52nDmBzRdHT41E6j7vYWHSUjgtZbJq5j+VcF/XHvFS/ZWfsiZHDf3+ZE8pnuG730XamGq9yjK7iSC/kx8No6zs0OffSdPIyHXkqcE/ieDjG+FMCOk8kTQyS9aGp2k0scn7BwT0mmk9V0z7XQcPbGpQbYqR94cbaWEbn/9hLw8nLdOQp8TjGsZyr5Z2HLdzoNqIKunfGcYnG/hn0f93BhZpNMHMf6wUTte/a6Qjxzx7sg1Zmth2k+5ge9eY53LcttH1US/VzM9frwsr0dBzTIRNOXS0nzqtRvtjEfFP0fG3FOpPHwf9Siz4nizn3KJaOTmoPPcN8o4E8xdJ9S6L+LRxVUQc3NvdRcNxC+cdj1OaFPtePi0vNzWzccZCWiydQb5jB9kUnbcH+ixTkcE/yyf99jdkfz/tFF1/99za6Dnlw14B1Qk1DXQ+Hs2DmoRXTmXpqMwaw1mii1/WW3RTmQ/uEg9aixfMYPHdHGc5QoHg4jP1xOeqF7WQunHdAU5G3eM7JAunvzyNJ0oaCSdB3rWl9LIFftn5mdlbS0FGLaiN4v7dj82YtnB/pT2NBUXyUD7tbUSufMfNwmN7TFVjHOhg4XRLSfiNYRV/l+daBEwMHNWEpkvRB4bgHG6loc7P/tJmRnVkoPC6unz1C7+3tVF9s4eCbWfH9dSIEZGx3bKeyroPan2SBx8XElU5qy4aoPneZo2E+JKn+OpEYaDko3iBPB5aHLtzk+e0nyTKl6kOXJpPCtwtpPz3G/Xp96PYUpw2ru5DanUq4HeXWgP1aXzvKiY9q0atg+ushTKcrqJ4yM1CXhyKh+CrOOCaFuk8bKbY3ZX4JJTRhve3GWBY6jvBODGN5rqGhSJO4DoMfEKOvTnRsEEzs/lXJTFUevWfGsNfrF8dpAMwy+sUoFHVQuAXcX0zgwcPM08SnU/OKasi+Msz443LKg7dPP7UxeisbY5UGvENR7kywT1qq/0nneAaSG2Mui2kmrV189fUcxiMdHDy+iWeP7Vz/jSn+OGSrAaOql4u/tXN0R9iWyMdfYb0D5ecKQ9pbwv1BrLKnMn5R7aXjahZ9RfVY3uth7IOAQSqUbHxQjuKYlfGpcspzQm9z3LrItKqGvcvcEQvAgwcPfPN/a8mMtc6n1db5bn4fen3yN6U+7VudvvE/ht3wx/u+s3+l9e3q+p1vbuHifd9Zrdan1R7yffLt8vL1+WZ8N/9O6/9tOuynPwz5GrVaX511JujaV75Tb+3ynfrts9C0PzzyXfsbrU/76/EgOcNwXfO9r93lO/v14qU5W6dP+9Z537VP3/dp/+6mbzGnR75rB7W+UvNkiCyHPn0U8dhpa51vl/aQ79rvw8ur9e369bjv2Q8xytxzP/CAm766t7S+sp77sWVfIKD7d876fhdeV65rvkNh+oorxw+Tvkt/pfWVzZdxgTnf+K93+bQHr/nmS3u/RxumnygkUTfzctX9Y3ilP/MNndD6tB8OBeUV0Fe0/BPOc873u65d0W08oLclyxfQfYg9fn3Wp9VqfaX/9XcRdedvU+d99+M+M07Z4tX1v17ylWq1Ibbs1+nZhfzC/0+UxO6Loot4v83r6TfhtubzPfr0UIRvmLePxuGweg2UW/s313yPQuw5mt2EyxFP5kTKFcTXZyNkTsqHLttuYvDDtG+o433fLq3Wp33r//DV9dz03Y/wuT7fs9+e8u1665Tvqz+E/RBoC522hZYa2z//cdzX+ZbWt6tnaUkjyzT/3F2+zv/nWZw7w/jXS75S7S7fecfipZh9SxL+LSqBOgpuY6F5xvFfwe05GTlitZNA/xPNvhKxl0efvu/TvnXWd3+hzcz5xn+t9e3qu+a7djDM3l3XfO9rS32XnMEyRWufaejPkyCRcibku1a9PsL6+6Vke0fr2/XhTd90RNwQliZKrDP39VlfmXaXr/Nfgn5ZY181aY6eJnEfFPWpfh10hcnkuuZ7X6uNjAcSIYqeng03+rTaQ75rrrC0P0z7bn64y6f9m2u+RTNPpb9ONAaKRrzYYZH7PdqQNpFUmZbrQ6MRrOdnX/lORdRXIFYL2He0Nj1pLvNp/+qSbzKsjczZOn27tO8HlS2B+CrGOCa5uo9G4Pnx2v33N311y4opw31LQHcR9eL398EyJ63DGH11QmODODFhRP8a0ElE7Pd7v19YsJU/Tvvu/8ukbyaWnwx7nj8fv98oDbPn6euHFnUWxQ/EIrw+Eoud0zGeWWqMmWS+C0Sz2aX8WrR4bFEH09cP+bTaTt94mDH7Y5JO3+8C15PpD+KVPak6iFbO8Pb6w33f2beixABzv/N1vhVpS6my9tvN4uLENjgdfc94Rh7GAxq818awh0/Ylh2m/M00iVBspDB8Ac1mFSrANrW4e9MzMcrw80J2bwXPU8/inyeL7K3Al/cJW1i7SM52fqHyYnfOL5L0Yr9tgX3b2f+zX5B9Z5Tx+SV9TxzYHioo+JkmkO84oxgwFkQevKgqKWc//i81hKKh4ZeG2G/zAdzDNFW14y6LMnMfB8W+wshlkTm7MerAdvd+2Ja6GHJ8Z8M6pWbvz1Shunw6R5Z6Ozy04QwsJczOMcCdfi6NuGIuZ0++bgzs3RNe6UpUKuD2ZEJ7dhPPcxL7597oNh7QW+ooKP7PkQcHZm3JgedOXMtcmpz97t7Ius7KJAdw/T72gnrlj9VkY+HSZQfuJNaup3rf0mRj3BP5dl39lhE9NuyO8GXDJZTkh70LDpRbX7obdYg9B+zmh7m4+avzwXblEsNTsZYoJ5ImGqn40BWwmw0qSk4NcOfLATpq9HgG26nel0/Fx7agJbse7GPDeH++m1w8oe1mcza5wE1HmBfds5fd4U01w0DBfvDemiDGsRJhZYpiTFsbOLAniff9WZnk4MWbyHaUJPxbapRgLIrhv+64Fv1X0nJEaSeBvpD9BRH2FVO3Qah/9guyn9uZnP/ktNeO7Qbsz9vP9oJsbLfGF5a7zzpsODMK0C2nb0+wP0+GRMqZkO9aB/URk+9sWN0KyqvirKKZT1MS+ZUexQ4jB7Z6sYxF367hZ3V91ZxnGnZkkx1yNQUfFHL7NNNu0GveCJUpJxc94ElV/+Ey3h6
Perlakuan Joint Balok Kolom Standar PBI 1971 Setelah Perkuatan Awal Dengan Ferrocement Delfian Masrura; Fitry Hasdanita; Muhammad Ikhsan; Aulia Rahman
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 9, No 1 (2023): Jurnal Teknik Sipil dan Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jts-utu.v9i1.7145

Abstract

Sebuah konstruksi bangunan terdiri dari beberapa elemen, balok dan kolom adalah diantaranya. Elemen tersebut berfungsi sebagai penyangga beban konstruksi lainnya dan merupakan  salah satu komponen struktur utama pada sebuah bangunan. Untuk merencanakan bangunan yang tahan gempa, maka daerah yang perlu diperhatikan adalah pada titik pertemuan antara balok dan kolom agar energinya dapat terdisipasi dengan baik. Jika terjadi kegagalan pada daerah joint tersebut, maka  komponen lainnya akan merasakan dampaknya secara langsung. Maka, tujuan penelitian ini dilakukan adalah menganalisa kemampuan elemen joint balok kolom sebuah struktur bangunan yang dirancang sesuai dengan PBI 1971 yang sudah diberikan perkuatan sejak awal menggunakan ferrocement dalam menahan beban siklik yang diterima. Benda uji dirancang dengan menggunakan mutu beton sebesar 24,80 MPa dengan panjang balok 120 cm, lebar 30 cm dan tinggi 40 cm, serta kolom persegi bersisi 30 cm dengan tinggi 200 cm. Dimensi tulangan utama yang digunakan adalah 8Ø14 mm dan tulangan sengkang Ø10-100 mm. Terhadap benda uji diberikan pembebanan siklik, yang diberikan pada ujung balok dengan displacement masing-masing sebesar 0,75 mm; 1,5 mm; 3 mm; 6 mm; 12 mm; 24 mm dan pada akhirnya diberikan beban monotonik, yaitu pada benda uji diberikan beban sampai hancur. Diperoleh hasil setelah pengujian yaitu benda uji PBI 1971 dengan perkuatan menggunakan ferrocement sejak awal mampu menahan beban tekan sampai menghasilkan beban siklus yang terbesar adalah 7,71 tf, sedangkan untuk beban tarik yang paling besar diperoleh adalah 7,48 tf. Untuk displacement maksimum yang diperoleh adalah sebesar 48 mm. Hasil ini didapatkan pada saat dilakukan pembebanan secara monotonik terhadap benda uji tersebut.
PELAKSANAAN KESELAMATAN DAN KESEHATAN KERJA PADA PROYEK GEDUNG RUSUNAWA YAYASAN ALMUSLIM KABUPATEN BIREUEN Sakura, Royanna; Putra, Reza; Masrura, Delfian; Sazali, Munawir
Malikussaleh Journal of Mechanical Science and Technology Vol. 7 No. 2 (2023): Malikussaleh Journal of Mechanical Science and Technology
Publisher : E-Journal Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mjmst.v7i2.14629

Abstract

Employment agency such as construction companies must maintain and provide the health of employees, this health comprehensively includes the physical and mental health of workers. Poor worker health can have unfavorable effects for both the worker and the company. Occupational health programs can be carried out by creating a healthy work environment. In the implementation, the occupational health program is always followed by an occupational safety program because the two programs are interrelated in the maintenance of workers. Occupational safety is safety related to the use of the latest technology such as machines, work equipments, materials and processing, the foundation of the place and the environment and steps of the work. Occupational safety and health can help make workers feel comfortable, safe and secure in carrying out the obligations to the company. The purpose of this research was to determine the application of Occupational Safety and Health (OSH) and the comfort level of workers at PT. Wandra Cipta Engineering Consultant in the tenement (Rusunawa) building project of the Almuslim foundation, Bireuen Regency. The research method used in this research was a quantitative method including surveys, questionnaires and interviews while data processing was done by using SPSS software version 25. The results of the research indicated that Occupational Safety and Health (OSH) and the comfort level of workers at PT. Wandra Cipta Engineering Consultant in the tenement (Rusunawa) building project of the Almuslim foundation, Bireuen Regency was very comfortable. This can be seen from the results of data processing on occupational safety and health, it was found that 58.57% of the respondents agreed and the reliability test was 0.724 and 0.843. respectively
Edukasi Pembibitan Propagule Mangrove Berbasis Konservasi sebagai Peluang Usaha Masyarakat Peunaga Cut Ujong, Aceh Barat Lisdayanti, Eka; Najmi, Nurul; Rahmawati, Rahmawati; Wahyuni, Sri; Hasdanita, Fitry; Masrura, Delfian
Jurnal Pengabdian Pada Masyarakat Vol 9 No 2 (2024): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/jppm.v9i2.762

Abstract

Penanaman dan penyulaman bibit mangrove untuk perluasan ekosistem pesisir telah dilakukan sejak tahun 2022 di Gampong Peunaga Cut Ujong Aceh Barat. Partisipasi masyarakat pada kegiatan tersebut mendorong dilakukannya edukasi pembibitan mangrove agar mengetahui potensi peluang usaha berbasis konservasi bagi masyarakat pesisir. Juga untuk memaksimalkan fungsi ekosistem mangrove utamanya untuk peningkatan ekonomi. Kegiatan pengabdian ini bertujuan untuk memberikan edukasi berupa sosialisasi dan demonstrasi secara langsung penanaman propagule mangrove dari jenis Rhizophora apiculata, R. mucronata dan Bruguiera gymnorrhiza. Tahapan pelaksanaan kegiatan melibatkan masyarakat mulai dari tahap persiapan, penanaman dan evaluasi. Hasil evaluasi menunjukkan bahwa peluang usaha penanaman propagule mangrove dapat dilakukan dengan persentase tingkat kematian bibit mangrove 0% sampai 39 hari pasca penanaman. Keikutsertaan dan keaktifan masyarakat secara langsung dalam pengabdian ini menentukan tingkat keberhasilan penanaman mangrove. Planting and transplanting mangrove seedlings for the expansion of coastal ecosystems has been carried out since 2022 in Gampong Peunaga Cut Ujong, West Aceh. Community participation in these activities encourages mangrove nursery education to find conservation-based business opportunities in coastal communities. Also, to maximize the potential of the mangrove ecosystem, especially for economic improvement. This service activity aims to provide education in the form of socialization and direct demonstration of mangrove propagule planting of Rhizophora apiculata, R. mucronata, and Bruguiera gymnorrhiza species. The stages of activity implementation involve the community starting from the preparation, planting, and evaluation stages. The evaluation results show that the business opportunity of planting mangrove propagules can be done with a percentage of mangrove seedling mortality rate of 0% until 39 days after planting. The participation and activeness of the community directly in this service determines the success rate of mangrove planting.
Bimbingan Program Magang Industri Bersertifikat Studi Kasus GIS Implementation Intern Fachruddin, Fachruddin; Yusra, Andi; Hasdanita, Fitry; Ikhsan, Muhammad; Masrura, Delfian; Sanusi; Alimuddin; Fadhilah, Nurul
Inovasi Teknologi Masyarakat (INTEKMAS) Vol. 2 No. 1 (2024): June 2024
Publisher : Wadah Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53622/intekmas.v2i1.263

Abstract

Infrastructure memberikan pengalaman berharga dalam membimbing dan mendukung mahasiswa MSIB (Magang Studi Independen Bersertifikat) selama penempatan magang. Program magang ini bertujuan untuk menjembatani kesenjangan antara pengetahuan akademis dan praktik industri, sehingga memungkinkan mahasiswa untuk mendapatkan pengalaman praktis di bidang pengembangan infrastruktur. Tanggung Jawab Utama: Memberi saran dan bimbingan kepada mahasiswa MSIB selama program magang. Memberikan panduan tentang aspek teknis yang terkait dengan proyek infrastruktur. Memfasilitasi komunikasi antara mahasiswa, mentor magang, dan universitas peserta mahasiswa. Memantau kemajuan mahasiswa dan memastikan keberhasilan penyelesaian tujuan magang. Mengevaluasi kinerja mahasiswa dan memberikan umpan balik kepada universitas. Pembelajaran Utama: Memperoleh wawasan tentang industri pembangunan infrastruktur khususnya terkait GIS Implementation Intern di Indonesia. Mengembangkan keterampilan dalam koordinasi program, bimbingan, dan komunikasi. Meningkatkan pemahaman tentang tantangan dan peluang yang dihadapi oleh mahasiswa MSIB yang sedang bertransisi dari dunia akademis ke dunia kerja. Secara keseluruhan, peran sebagai pembimbing program magang di PT. Nusantara Infrastructure terbukti menjadi pengalaman berharga yang mendorong pengembangan profesional dan berkontribusi pada keberhasilan integrasi pengetahuan dan skil mahasiswa ke dalam dunia kerja.
ANALISIS KARAKTERISTIK KEBUTUHAN DAN PENATAAN RUANG PARKIR KENDARAAN DI SWALAYAN SEJAHTERA BLANGPIDIE Tripoli, Bambang; Idris, Fadli; Masrura, Delfian; Malia, Rezqi; Dinda, Raina Parmitalia; Samsunan, Samsunan; Fazlina, Rita; Rinaldy, Rinaldy; Salena, Inseun Yuri; Zulyaden, Zulyaden; Mawardi, Edi; TH, T. Hardianto.
DINAMIS Vol 21 No 2 Desember (2024): Dinamis
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Sains dan Teknologi Jayapura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58839/jd.v21i2.1450

Abstract

Studi ini berfokus pada masalah pengelolaan parkir di Swalayan Sejahtera Blangpidie, yang mengalami peningkatan jumlah kendaraan, terutama di waktu siang dan akhir pekan. Penelitian ini berfokus pada bagaimana perubahan volume parkir, akumulasi parkir, dan durasi parkir mempengaruhi efisiensi pengelolaan parkir. Tujuan dari penelitian ini adalah untuk mengevaluasi pola parkir, kapasitas parkir, dan indeks parkir untuk menghasilkan saran pengelolaan yang lebih efisien. Metode yang digunakan adalah pengamatan langsung dan penghitungan statistik untuk volume, akumulasi, durasi, dan pergantian parkir pada waktu tertentu. Hasil penelitian menunjukkan bahwa jumlah parkir meningkat secara signifikan selama jam sibuk, dengan tingkat tertinggi pada hari Minggu sore. Akumulasi parkir yang tinggi dan indeks parkir menunjukkan bahwa ada kebutuhan akan peningkatan kapasitas atau manajemen yang lebih efisien selama jam sibuk. Salah satu keuntungan dari penelitian ini adalah memberikan pengetahuan tentang metode pengelolaan parkir yang lebih efisien dan efektif untuk mengatasi kepadatan kendaraan yang tinggi, terutama saat jam puncak. Dengan bantuan penelitian ini, ilmu yang berkaitan dengan pengelolaan ruang parkir dan teknologi yang digunakan untuk meningkatkan kapasitas parkir telah dikembangkan. Kedua ilmu ini dapat diterapkan pada manajemen fasilitas umum lainnya.
Study of Groin Structure Planning On a River Bend In Padang Mancang Village Muhammad Arrie Rafshanjani amin; SAFRIANI, MEYLIS; Cut Suciatinas Silvia; Delfian Masrura; Safrizal
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Vol 10 No 1 (2025): MARET
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/cvl.v10i1.1352

Abstract

The river flows naturally from its source (upstream) to its mouth (downstream). Due to its velocity, riverbank erosion often occurs, especially in curved sections. In meandering rivers, unstable soil can lead to landslides on the outer banks. One affected area is Padang Mancang Village, Kaway XVI Subdistrict, West Aceh Regency. This study aims to design a suitable groin structure to mitigate erosion. The design process considers a 50-year return period flood (Q50), soil properties, and river cross-section data. The proposed groin structure has a length of 30 meters, a foundation width of 10 meters, a top width of 3 meters, and a height of 12 meters. The flood discharge is 2885.307 m³/s. Stability analysis confirms the structure is safe, with safety factors of 3.06 for overturning and 1.89 for sliding, both exceeding the minimum 1.5. The foundation is stable, with a maximum stress of 2.076 kg/cm², below the allowable 7.71675 kg/cm². These results indicate the groin structure effectively prevents riverbank erosion while ensuring structural stability.
Co-Authors Alimuddin Aulia Rahman Bambang Tripoli Cut Suciatinas Silvia dian febrianti Eka Lisdayanti Fachruddin Fachruddin Fadli Idris Fazlina, Rita Fitry Hasdanita Inseun Yuri Salena Malia, Rezqi Mawardi, Edi Meylis Safriani Muhammad Arrie Rafshanjani amin Muhammad Ikhsan Muhammad Ikhsan Munawir Sazali Nurul Fadhilah Nurul Najmi Putra, Reza Rahmawati Rahmawati Rahmawati, Rahmawati Raina Parmitalia Dinda Rinaldy Rinaldy Safrizal Sakura, Royanna Samsunan, Samsunan Sanusi Sri Wahyuni TH, T. Hardianto. Yusra, Andi Zakia Zakia Zulyaden, Zulyaden