مشاهدة النسخة كاملة : استفسار عام طلبتكم لاتردوني كيف طلعتوا النتيجه
جوودالسعوديه
2014- 12- 25, 12:26 AM
صباح الخير ...........
اولأً كل الشكر للجميع على الملخصات ومساعده الطلاب
انا عندي استفسار عجزت القى له جواب بادارة ماليه 2 وهو
اللحين لما هو قعد يحسب مثال
√(𝟎 𝟓
𝟐
∗(𝟎. 𝟎𝟎)^𝟐 +(𝟎. 𝟓)^𝟐 ∗(𝟎. 𝟎𝟓)^𝟐 + 𝟐 ∗ 𝟎. 𝟓 ∗ 𝟎. 𝟓 ∗ 𝟎. 𝟕 ∗ 𝟎. 𝟎𝟎 ∗ 𝟎. 𝟎𝟓 =
𝟎,𝟎𝟎𝟕
كيف طلعتوا الناتج بالأله لاني عجزت تطلع معاي نفس الرقم الا يطلع بالاخير كسر او رقم غير ابي الطريقه بالتفصيل الله يجزاه الجنه من غير سابق عذاب اللي يجاوبني لان كل مارحت احل مساله امشي صح بالطريقه بس الارقام تطلع غير حاولت اشوف كل الملخصات وشرح الدكتور بس هم ماعرفت
هوى الجنوب
2014- 12- 25, 12:41 AM
الحل سهل جدا
في اي مسأله كانت يطلع لك الناتج كذا في الاله مثلا >> 5.1 10 اس -4 او -5 او -3
طبعا الحل صح ولكن نحرك الرقم اللي قبل النقطه الى جهة اليمين بعدد الاس مثلا >> 5.1 10 اس -4
راح يكون الناتج كذا >>>>> 0.00051
انا حطيت 3 اصفار بعد الفاصله واذا كان الاس 5 بحط 4 اصفار وكذا
ان شاء الله تكون وضحت لك :mh12:
زوز سعد
2014- 12- 25, 12:44 AM
انا يطلع الناتج كسر وانا ابيه عدد طبيعي عشري كيف بالحاسبه
Radiawade
2014- 12- 25, 12:56 AM
Shift
Mode
8
1
al qaisar
2014- 12- 25, 12:59 AM
http://www.voidware.com/calcs/images/fx991es-1.png
اذا الحاسبة اللي عندك مثل هذي او زيها اكبسي على S<->D
اللي فوق الDEL وراح يتحول معك من كسري لعشري
فالنا التوفيق
2014- 12- 25, 01:04 AM
اي سؤال يطلب فيه المخاطر او الانحراف المعياري او الانحراف المعياري المشترك المتغاير يكون جذر
جربوا على نفس الارقام -----/_
فالنا التوفيق
2014- 12- 25, 01:21 AM
اذا طلع الرقم مثال 4-7.3 معناه 4- اربعة اصفار 0.00073 تكون بالشكل هذا سهل جدآ
بنت بدوي
2014- 12- 25, 01:25 AM
مالقيتها في الاله
جوودالسعوديه
2014- 12- 25, 01:30 AM
يعطيكم العافيه بس يا انا ماعرفت اشرح لكم وش العله يالعله فيني بعطيكم مثال وقولولي كيف يطلع الناتج بالتفصيل
الانحراف المعياري للمشروع a ( = a = )σ 0.03
الانحراف المعياري للمشروع b ( = b = )σ 0.05
معامل الارتباط بين المشروعين a و b ( = P(a,b = 0.70
وزن المشروع a ( Wa = ) 50 % = 5.5
وزن المشروع b ( Wb = ) 50 5.5 =%
هو طلب درجة مخاطر المحفظة الاستثماريه كيف طلع الناتج كذا ابي اعرف كيف الحسبه بالتفصيل :(269): هذا السوال في ملخص ام جهاد النتيجخ طلعت037ـ0
فوق السحايب
2014- 12- 25, 02:23 AM
قانون حساب العائد المتوقع من المحفظة:
E(R)p= Σ Wi(ERi)
الوزن = الكلي / الجزئي
حصة المشروع الكلي = حصة المشروع الأول + حصة المشروع الثاني
= 5000 + 5000
إذا المشروع الكلي = 10000
وزن المشروع الأول = حصة المشروع الأول / حصة المشروع الكليه
5000 / 10000 = 0.5
وزن المشروع الثاني = حصة المشروع الثاني / حصة المشروع الكليه
5000 / 10000 = 0.5
حساب العائد المتوقع من المحفظه =( وزن المشروع الأول * العائد المتوقع من المشرروع الأول ) + ( وزن المشروع الثاني * العائد المتوقع من المشروع الثاني )
العائد المتوقع بالمشروع الأول معطى بالسؤال 5% نقسمها ع 100 >> 5 / 100=0.05
العائد المتوقع من المشروع الثاني بالسؤال معطى 8% نقسمها ع 100 >> 8 / 100 =0.08
حساب المتوقع من المحفظه = ( 0.5 * 0.05) + (0.5 * 0.08) = 0.065
نحولها لمئوي بضربها ب 100 >>>> 0.065 *100=650%
فوق السحايب
2014- 12- 25, 02:25 AM
الوزن = الجزئي / الكلي
الصغير / الكبير
جوودالسعوديه
2014- 12- 25, 02:38 AM
الف شكر للجميع والله يوفقكم وفالكم a
واخيرا عرفت
مشكورفوق السحايب
انا بعد رحت اكمل مع دكتور نور الدين خبابه شرحه ممتاز باليوتيوب فهمت بعد اكثر منه
فوق السحايب
2014- 12- 25, 03:13 AM
درجة مخاطر المحفظة الاستثمارية؟
http://www.ckfu.org/vb/data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAxwAAABkCAIAAAC D/KFuAAAgAElEQVR4nOydeZycVZX3b1X13km600lISGSRRUGUCGp EhRFHBRXHbVwZR3TcHXeUwXHcRxnBHRARRQWXcUVEUFlEAUXZA iFkX3qv6lqe9e7b7/3jVnc6QOclgRgmPt/P/Wil6ap+6j73ufd3zzn3HIKCgoKCgoKCgoKHDdnXF1BQUFBQUFB QsD9QiKqCgoKCgoKCgkeAQlQVFBQUFBQUFDwCFKKqoKCgoKCgo OARoBBVBQUFBQUFBQWPAIWoKigoKCgoKCh4BChEVUFBQUFBQUH BI0AhqvZ/oihyzgFIkiT8xBhjCwoKCgoKCh7A7OUyTVNjzENfcAtRtZ/TarUAaK2DrtJaa63jON7X11VQUFBQUPBoRCkFICyagSzLHuJ7C 1H1d0GaplJKzrn3njEGwBcUFBQUFBQ8ACEEACllWC6ttZTS2Rp rFxSiaj/HOcc5D69rtRqAarVar9f39aAtKCgoKCh4NBL8fcYYY8zExMRDl FOBQlTt5wShDSCKotn/LCgoKCgoKHhQhBCU0pl/TkxMSCkfyhsLUbWfE3zDQogQnN7X10cKCgoKCgoK5qavr69UKs 3888ADD3yIa24hqvZzlFJZljUaDQDXXHNNGB8DAwMdBQUFBQUF BQ9gwYIF3d3dYbk86KCDFi5cSAiZCaTZNYWo2v8JxxaazSYhZP 78+QsWLPibi/6CgoKCgoL/SyxZsqSjo4MQEgTWQ1xwC1G1n5PnOYB6vX733Xd3dHQ84QlP8N 7vywuygIV38A7ew3vroXduzsP59i8CBjCA83AaEIDwEB7awbvp X/XQHsIj8Uj+Nl/Cz9GmcYCDN/C7kd3k7xMNr9s91W7TQwP7cJgW97egoGDPKETV/k8Iq7r22msXLFjw6U9/2nv/EM2Ye4VCVBXMohBVBQUF+xOFqNr/Cef+LrroIkLIj3/8Y2PMPjRWtdfM9sppZ0RVUE8e5v7LmAMc4C288mAeLIgq7/2sz/Ee2iP3yP+m3+VBltuAm9UKdsWjU1QFivtbUFCwuxSiaj/HWssY01qfffbZhJCrrrpq315PIaoKZlOIqoKCgv2JQlT9XaC1P u200/r6+rZv347dybj/iDOdXM3ez/E34+eb/r1229nBl3vkHsxD7SSq2rpKeah99b0K9oxHs6gqKCgo2F0KUfX 3Qk9PDyEkWK32pfuvEFUFsyhEVUFBwf5EIar2c0KUeq1WI4Qce uihrVYrVDXaVzwgLD2sqno6+BfwO3lXNILgsgbKIXfTogrOY1p RtSPWYR3s3/bbzA5Y3uEMCl+iHWhfsEse3aKquL8FBQW7RyGq9nOstQB+97vf zZ8//yMf+UgoU7MPdVUhqgpmU4iqgoKC/YlCVO3/WGuvu+46QshnPvMZAKFU5L7CQTmonUWVhbfwjiYxtNaUwlo4x1 sRrOPASINKwMApUK4i4zJ4Bmvay5qDB5yHgdd+rwcOK6WUUoCT gsEbIyiMgNeAbk3VAMeFYsoqYLSRPaRKUX8fMMZCyrSZCt9SSu 99cPpaQHunvRNGa2uEkvtKVCmlpJSAS+IWvNE8j+uT8NobbgQH nNLWAqNTsQRGG/ssNrGgoODRSSGq9nMYY4yx888/P+RTCD/RWu+r65lLVDUbdXh33913n/me95QI6evped6zTrz9L3+lzgmgFsdxnhpwD+7B9qGoCiRJBDhr ZNqqf/viCwkhpRJ57EGPueSSi7OcWYBqLYFCVN2PUINy3bp1L3/5y7u6ujo6Op73ghdcefXV0hgD30oTC0itlNH71lLFWF6dHIc3X ovhzevf9tY3dZbJAUMLX/ziF1173Q1UCGaxfXKyuL8FBQX3oxBV+znWWu/9GWecUSqVwtG/fYuDdtDBVTcdtO7hvMizq37y0y5CugjpL5NuQnoJOXCw+2Nf/FZVIDLggAL3kB4M4LAKzs8WVRpWYa8b4aq1ugek5IpRnkdHHrS 8i5DHLl/cQcj8ns6OSukV//yqraOTsURLo7XPtOujkSRJnHO//OUvCSHLly/v7OwslUqkTI485ujPfv5/oiwNIjlndI5EBn8LPDA6NgE4eFebGP7Db68OY7K3g3QQ0t3V0d s37wtfvXAy5qkH2xdXWFBQ8GimEFX7OVprpdTBBx9MCImiSAix b8vUzCWqvFZHH/rYm2+4AQCUSKamXv1P/7Sgk1QWHfa9K3/HAAlkMjaWAdx7tq9EldLWA4ATefayf3rB1790nuVcpo240fjON y+aP6+PkPInP/t5DjCgLoqomx1477dv375ixYrbb789y7JmszkxMXHmh88kZbJg aOG1v7/BAkxKqdU+FFVZnof722o2JEuOPGj5Lb//PbR2kmZRdNaHzySlSlf/wE23r8mAkUZjX1xjQUHBo5dCVO3nOOfiOCaEzJs3j1IaQtT3oa 5qB5fPFKMJ4b8W//3JT9164w2QDJabtAoXwbde9Jwnk56DX/X2j7UcqlRTJy00IOE4rIS1QVQBMPAaSu19h1sQcNVqdf29d3/7G1+DZjBURFWoFE5/8hMfI6S8ctWJd28au3PzJN3bV/N/hxDJd/75569evXp2mrSxqepr3/D6SnfXO97979VGPWXUA9qafWipsg61Ws0p/rUvnvOn638Dx1lzAioVcXPjhnWnnPrC7gWLX3b6mykQF7k/CwoKdqYQVfs/GzduJIScdtpp+/pCgLlF1bcv/iac4XETlsNmo8P3wLe23HtT78LHr3zOa0YzWmNGwTGZK5UBcl+ JKutckmYArvnVFbWxrV5Rr3NYBs9ZnjCavfjFLyGl7j/fvZEC+b6tXf1owlo7NjZ22WWXAUiSJGT6cM5Jb6+/6Q/d/X0nnvzsqVZTWuO834eWKqW1CbZIb7554ZdtHsFx6NyJGE4D7rb b7yRd857x3BdvGBv7m+bvLygo+L9AIar2c4wxP/3pT8PRv2CmopSGJW3fXM9MfeSZssmunfVzfNNGR1vweVrbCN+E HL3x15eSjkNe+uaPJ0BkoACqci7iHaLKeXgAxkBrCIW9XijaAz nlgIPX8BJOssYoHIXj8Jrm8VFHP2nxQYet2VaPPBpFvd1ZSCkB RFHkXNvCwxjLlbhjzd2kRN75nndbQDmrjN6HKRWcR5YzeAvN4S U0U/EkHIWhmqWA+d21vyedfae/7YMth6jQzAUFBTtTiKr9nwsuuKCrq+sXv/hFWNXCyfZ9xVyiyhnnaQ7LRobvg48FHzd028a7fjtv8JgL/vfmDBiJskxKCwNIIZJ9KKqE1N5bzlKtck5jOMryepZMwWvBs5V Pfuqb3vW+pkSCQlTtIOh4pVRQVFNTU8EhqOH/fMdt5Ur5qt9cQ4VIaO6BNM/2oagKMVXQPM+acBIyzpKqUxm81prftfreSs/87//y+kJUFRQUPBCyU9XQWTNZiCCeXQgktN3+C+F9O5UgDaVz758EM oQwP7Jfr8Cq7GP/eWalZ8XV196pKQVyZkZyTEwBVUBnAANqDcTZfTqfBCC2wY45Bp O3024CCZBmNlVAK3WwgAasg4ssIuaQmyBsGGwDpg5Rg4oBxxgU oICpRAoNC5NmrZ1Hwo6mlDBGAc5arZRgLAfcf/7n2Suf+Q91phigACoFYLK8Ba/gBbwABHwYOT6kCd1tdnN8WgculAcYlyH+BtMxapzzv9z6p57uz j/ceIMUzDvj3W6rqpncl346nWlIQmHaTZvpZKmhCXgB7aAABpfD5 fAM1gppQ9WeTLVzVDrNYBVYCis9oIyGiYG8BowDMFtc7a9B8no tkuYUU9ChorU1TmlY1w44Cof0PIyySZIAcPBMcA9Hea6cVc7Oz CXG2SCenHNCCKuNlkpyQbMcHnmccKE+d87nTzn1hfVGK2SmRch Y62c1p3e03WU678b9W5sdPwo63wC5tMLCOiij4Ty8gVXwJm3V4 fQ5n/nkscc+cfPmrdM2y91DeTAgAWIACZCgATQB6BZkYwJsAhbSQ83k HPX3a+2zHUCe55Sz2TO3tsYC2oXvxeFbWkxaF3toDrS4a4lwih bcZlyPwddhJB2bqgJVIL4vQRUWI2OtvyCB3KwpqhRVpDG2TaVA C6AwddoEAxi8hweorHufIeJoGNpUBmgAVcD79hYqnmiFDo+ynD orAAEwOA4fNkaAg7OwGkZ5xBJNbqA80Ez9VJQACdDw0kCC1hCN GgHtwZHmSOvAltxAAZIBE8IMS4dqE8BmYDPNID3qwIjmMBKCAt ppFp4eyRKn2fRGb6ZM1k7jYXfv7/S7dswk00/qdBrj6b+yZ5+/97l/b7Qf5FnfRM5q8Op+rT1heut9mL7s7NS+u389M/0G4AFaZYdiaV/dzv0/iwfOAHste28hqvZ75DNWrSRk6O77anAuiCqKyXGtpwCdIRqPEK UQegy4bWwMdmz7lpthAAEaUxg0m1ulrDd5QwEGUFxBg+cUPnaI m5RLYHxiApaPj9wN38obW6BiSjPv0crz8XpdeFjAeC0VnUtUCc E4p4CLomb4yZYtm575zBO+f8VVDIik1ADXCjAeSsl8X4mqOMk8 QBlL0tw654GpqSkAIaHlWR8+8z/O+pA1CnBGyzSJ9uxyHr6o8uG/OqcA430URVFjEk6Dpa36ZL3R8ABcWq9vm7B2EoDZArau2mg04j hMgAbIhQSc4kwxrrjwzsO6LM54zvMsD5OBtdYD1jtjtVA8pPFU WgspldazZ4woisIMwymDR5ZmTmkPPO7xR1973Q2tKMF0rn+l1L 4SVdVGwwDNlAbRDA94EzenpKDwZqo6vur4latX3wkgiuM9WCJm RFWC9v815xBVsLsSVcHg5wHnvZCScS6VMs7WW62MCcAx1oRvAR GQM54KQAIC4ECuVCYjiymgCSOhcHettjFNQcG2slrjTosROkFR g0JToZmMDiNz41lWt7YlqYQGg6c+y3IPKBc7lyJVoIBBQumGZn O7EJSyLMp4xmHAKddaW0ABEefVON6FqBpvbIipVB52KgLTVc43 TU0lcJP1sXh8A9IJSS2VSiBLXVy1NgIMMzDS+3HlRptpLh2ArV qvUwIj1VoE/GVkK5y2NB0f3w5o5ySlMayAk9bK8JQUogpAIaoePuSBcqp98bN 4WKJqp5u0o7VL6rbbDh6h71XQRitaIqRr3mNaOeAcfKb9BMVEB AxLqyILBrDcbtuyUeZ1wNk6ECeRyRIHBx4Llm0HWg6xh4CDtzA CVoLJWIErIG3XvJHwsYi2W1qFo/Dg3MtpY0mUcuXl/aatnaYwbwHXaEzNSKuLLrrwfe97jwCYR3hnlOVS8vYQCtLCW3g bRqbZ8eTtFrs9PrMsCy5UIUS9XgcQEoDdeeedJ510UrVaDaWBg hVnd5ktqqYnJu2gzY52P1EFAbjw0jE4BqdgbZxQbiCBoGgBB08 hI3gJi1g6AcCl3iYtYG0rs7U7YUeUs9o7WA6Reg/tIQHqYQDKhJQc3lmawRkeNeEMvEmimAluginRejM9l0itQnIET CdLE0LAQwkJjySKYSw8zvvy1z509kctoFw7Xi2Yw3bq89kCa3e Z09Lz4OPQAgbg2gDI83Rs+zYYCW+c4vDmK18+78wPfNAD1Vpzz +ZkBXAgA1IAqUfqIyACoClUPglehWnfWgtvduqH2QQRD8AY45z z3odR5z2UgjFK8RaQGlUHaEZjoVGN+GiDSmB7tW7hLPK4NezjO rSrA1uNQxN2XHuMRPyeYIuKfXUs20w33AeGKYcEaOoWIF2TQyH LmQIoDIMFAxraMRig/Y1Cj0rAIppqeQ8LTGXpnJYqp2HVtsl7LGLjEaXQo8MQbGuWJ0A KtBQDa4K3RA4DSPDxZFQAmQOSBHnD2LpBTIEGB/yIyNfBQnlsiZIMEFPDsLkHhJLNqBFGg1A8TDtzjYfdvb8PJqoe 2P5vi6rZ0irMRjvtP3eaOXe0PS0jNnMxAB7cADR3b89eX9q5e3 a6P3un+wtRtZ8zvH1TiZDnveh0bkGzzNnEosowGSY+m8KkJp+q olkfgxsVQslJYxqSAw7OOJ0boDU5udYjSbN6GqdwUMzBImNNA0 m1VoAxplYbkaLm2SR8mqc1zrj3SLhopKkClEVMo12IKiEY4Din wfF34403nH76awEngXoeytSgmaSM5ftcVAUhBSBNUwDDw8MAxs fHTz755JGREQBxHAef1x7UWHykRBXjOggd4ZHkuRAMnhpar04O O+0kUM8yZ2KAjnM+CSC5L4vX5oJbQLIYIlVKxzkdqdVaQhogza j3Ft7F1YnqxBicmapO0DyB8w5eex9Ryhwm63VtjAccvPUuPM+U Umutcw4e1YlJHwKXPK679ro3vuXtNpgOrPdAlk/7s/aRqGJSau8tIITQWsI7xbJadRzebNq47vX/8hrBeJplHhibnNyDJULPFlUZkCEKrkDDdktUhaIIxpigpQBorZ 1zSZJGEZWSAzxNx5xpBlUsg4sMWLt5swImapONaBTIYbiiYpix OgAG5IiTNR4jYxvH0moqEGeoQ1BapzEwnucC0lrGxiPLrfPIpO RwEoAEOPIGC6Jqe5IooWhGmxPNYCnMc5pzrgABjExNzSWqLOJq fVOc5cYDNMvqtUljtzabI3Gcw8hoQkQTsKhH0UhtuwTPtK7lDF rD5Fk+Ml7bQIFaboFxKzfXJmpMmxhoSAmb50l1slr1QM6yVtT0 cOOTY6E6QiGqpilE1cNlzkD1uR7m3f8TofMfYPycmTBnWvDDFD yi3HTz7zs6yVkf/3yLQbMYSLgcM2hNOf8f532hj5DHViqPK5MjS4R095GhJX2PXUG 6yqQ0b3DgoP/94ZWtWvzCU57SXSKDnWRhFxnqnt9dPoCQpaTrYNLVTSodpGf+q S9+hXMG0Flt+1APGewmvR2EEEIqPUMHPpaU+3oGllx62Q8ANzy 8bc7FjOV5nobX99yz+k1vOkMpoZTIFHINCcSZCrVLrLWU0p2XS cw8L7vP7o1PJ2koAZy26vAmj5uAmarW3v/BD4yOVbl2udAGyIWmavcjqtDujweKqlnSqh1sE9q0qPLwGk7BK TgN5y0QpZwbb4BvX/qNRYPdPYSsGCoNze/t6OwjSw4nAwctWTK/VCJk0dLv/fq3oJtf+bxjSImQcmmAkEFCuitD/YsOJgcsJwceRPrnke7ud773HdXxrTAZLD1y2WAfIX0VsqCvl5T KpGtBx8IDSd/Q3evWNlrNoKhCuilMR6nHcQwPllN4CMajeuOdb33b+i3DBpAOC VMGiKnUHsrtJIQezvzjoWa1WcWR5hiHeZYAjqURTVrBQCWyCF5 v3LD2BaecGmbyTGjpIIF899cIDSjfLrcEClAwMAYWlqkmVBMK1 s14KB5YcDoILQBw3koVQuuNkDKj0DYsNtu2bbnkW19f/piFlU5CSoSUyPve/6FrrrkpyWA9qg0aBk+umEvqNp6KgIt/dcV80r2IzO/qIqVOMtBz9OKFTybzCOkh8wk5sHPBl37w823MDSztWzRQOaSLL C+RRQPzSFcPWbCEdC8okXkL+g8gpOONb3zjpqlRBr3urzcff+Q hvaS7k3TN65tf6ejqmTefVMq9iwd/ed1vOJyYFlU+GMCdhlWNfJtFfNEll5Jy5yGdZEWJ9B9yKJm/qHv5oaSzf+XQvCWEkPLADTfekUl65BOPKHeSbkIWEnIAIStWDJ DeDlI5jAyurJRJpUzOeP3bvYcEhhsTK5f3HlAiXQOLSaWnf9EB/YsOIOWOrgWD3778cmNnTps+cHneXXahzx4B0bb3eXDxN3vjuvN v3D9AaLaQmt76zmp7eD277qvZd00/oP2tjTiFqNrPufz73+nsKn35osuqsYKXQJpkWw1aE0qnAK3X/3j55a95ynGHElLpm09655WWDX3sM59wHs4iiRQcBB2Bkn+4+pc nHndMNyl3lZYsW7ayf+HRX/vGxQCohQFarYZzEqwJnf3s8m91EHLkkUcS0rl4xeHf+OZlzMIC lGa7nl+CEX7bti3vetc7JifHAZdlSSKcApi1TMIC8O36cftKVI WpgeYJjPRO06QFmHP/5/M3/+kWpb0FtgyPBcdQJvaocvUjJKomajULSAeuw1fjt95441OPWd5 ByODCA0jnItK56OMfP8sYvS1lKeDzTbZ5L4BLv/udk449dnFHx6KBg0lpHukf+Oyll8XacOeUl4B0KjEygaUXffGL Bw4NVAjp65/3+Cc97cvf+n6sMDZV5VKEKCuplZm2owRnaJqkYdXP0+xVL39Fo 1ozQJRloeuFMQZQznNt95WoApz3tj45Bm8YTceHtwZF9ZGzP5T GSW1qKuzat46OS4Dt/nibsS9yj+Bia4sqAyg0oVrQOzbTuxRVRunQmTSnPMvDW7I0O/ODZ5bLpLOLkDJZtnzJvPnzSIksXfYYQvqPf+pzxierXMMAcZ4b OFgOFleljADk+rbf3PKEJxyx5MDFFXIQISu6hrouufySiQ0b3F QWAZMOBrw6tv7a711y2vHHVQgh5Y6OoQOPOOb4H3z/l3lilHIAcpiRxiQszyeHr/jhzztIZ4mUCSkvXfGYn13xiwbPqlm0C1GV0nELREl+33XXnHbc k8mCAdLZT3oWdPYNnvfed0AI69GKLTPCQGcsWbd69amrVi0kpL +flPo6B4aO+8K3rhOchqdp8+YtwnsKBVO/8luXkO55pNxNyp39iw745rcujbg007WnClEFoBBVDx8yR5w6dj aXzWq7iYW0kBbaQnsYDzN9k6ybtVbNtIJHlrPOOqtSqVzx2xsj 4YHc60iqhkc+yWTLAirC1IabLv7scT2k0rGMLD7khDe9dR3Ap8 P4tm4Zty6GHzHjN934v5972uGHl8ggqRx5+ru+sL6WjKWZakeW uLzVcnkKq1mr/qynryIlcsZb3n77feskIB2EtFY7q+ecXEIo1dq1az70oQ+2Wg3 A1WqTgMu5y5hdc98WCxgLyjRnGnN6b3a7f3Z7fFoGx1XWhJejW 9fDm//66H9c8+urg5K4Z93G4HTbODy5YaQW70EuUjd7KguScYfxfHpqm 2ltSeh8eEuI5rYhfsUCzSS1cLC5zEZ9tun6X36jixDSsaBy5Mn v/tKPQ8aviTxnAExdNjaFGWDNry5fQUiJDJH+5a//xGdva+WTQMtZBeNMDNcy8QhEHbT6slNOqhDykle86tpb7syApo WZNZMEe1UAAOc8arbgMTk+8fa3vi380tbxeoi6a+bqrnvXGyBY +NpT6cOdfmAgZloI+Z8u6W38/Z3RAGBF7hWD116xYJVsTI5+/CMfHt22GUArSpj2mYEE7t40luxR3LwJZ2cNIDykthhxGIWBU8i gM2gNOzPCBbyAl9PNzHIJSsrgAQveSsLnVrcMf/C97xsaGiIl0j+/p9xNSJlUesqdnZ2dla7FC5f1dQ+VyLzrbrgt4RDARKzguM2bky IdZzGognQ/++Gn53cT0nkk6Tv6DR/+93GTwjjYdkC98AI+RWPNr772kWWDneV5C0j/oc8440N1DyohaAxoCx3TFvgUbNxqJM/7x1MXLlz0utf9y1/vvMsCLZ4rQMBJeA3rZ0SV194pg9wgz1WcxTWwzVee/xHS2U8WHUZ6V7z/nIv15HawqJkYpmABr0U0uhZs8ooL//voAVLp7CCdC/7xjf81CmiTV8e3OqXhw4MQ+7G70dz4ote9kXT0v/6dH/jTmk0MmMpUZttawQP2QZbn3R9xOzvOHmyFnf1XHm3MudO43yz0 QJm18xYoiKqHfdDkgRezU1c+8FJnh9GH0PUdx4ymA+d3tEe8+1 CIqv2el7zkJd3d3Wu3jkvA2kSxKSDXJqbAtlYCHSMbif505bGd hJSWkO6hz/7iVyNAi3MqhAXyTAO5d8Owmzbd/L35hCxZfASpHPntn68O2Rio1q0kARycg2A0jUc2rlux9ICTn3P y+i3bJTA6NaWD0yTJ4TDXQ6uUWLt2zTve8bZg0ArpFbSWyuKWW +/6yvnfZFJ6QGko6Tjj+0pUOZ3naT2scWlz8swPvu8vt94MDw8ka RrsLuu3bn3XB/6jHXOwuzxCokpobYFcSAvnTeZlDX7ynj/9fNnQECn1kwVHf/r7NxpL47gWDlfGjU1wzThJ6o1G844bDuvuHlp4OKkMfenK30wC o8Y0rVEwWTIOxFANx2oj6/56xPKFzzrhhEacCWAsSWJAWksZyyk1djqxgvfW2nZ2NI/169a//a1vU0IabYw2Csik5A7X3HDzty/7oTAmysU+FFXwGprD65EtG+D1PXff8cZ/eY2TFEYKIZS2BmhQ+ZMrr7zg0h/tdsTcIyeqAPAsh4c3njVjWNCEfu/r36wQsnLlyl9d9auRsW0WOs3T8amxCy64oLe7r6vSVyK9gwMrH nfU03597c3c+0iCZg2ojAJNJ2zKaSurj/9hoLfcPe+JpHTol35wybhJ4eC0m7I2AXKdWxOBbt72+x8M9RHS 3ds5eOTXr78nBuoRAzSlMZO5hRbRiFXN6kR9fv/gypXHjY1NGCBKUwXkSu1CVLXSCRvGNdvcWn11R+8A6V3Ws/Dwz3/3VxAJdG4A7UGFgFVwsc3Gqndev5QQUi4tWvbYy/+4dV2eO88BKXKqpLLh4LCarK79Y2lw6dOecfKGiVbikFmbakhA OVeIqmkKUfVwIdq70Ew7QHb6q4Qju9YJxoPzXuR0dpx6qNQb4k +11nYOFIyCMTAammqe8Kx9xjncgJ1sAHvriOPfA1rrdjZFrUOS zxDEWi6XCSEtwSWgRc3phlItDxN7ZADkFiTrt//m248lpEKOIH1Hfu6aW7YAANI0t4A0iGjdYwrJrX/+4ccWEtJZXkIWP/u7101GAPNGeI7gozAO3EK4L55z3hGHHbltdKSeJwyWwwnnbJhD FGaez9mPq9Zy9eo7TzzxmYSQwcEFXV0dhJBymRBCOjr7Dlj6mP UbttYbiQeEdB6QyjsLeHgLweTfZny2h9rxWooAACAASURBVKjj aW0EXhoafeDdb+sqkRIhXR2dpES6uvtJqYNUekmp+6JLv59bZL s/Z6atJrxLmq0wa3jr4GGUNcYBoJzNqjfsHGyY+F07QNbCtd0pBk i5NoBxGi6FmQLb+OerL55XIaQyjyxe9Z07Y21yLmILI50Acica lCkP/P4bnz2YkMWLjieVFd/43R+qQAMYZbmCcZ470YCKIaILzvn44w9dNrJ1C1O6kWkKpICCs 95Z79zO80lIPDGyffjoxx9VImR+/7wKIUsWDpW7+ys980ipc8GipXfftzHKhbSwAOMyJMZS2lLaLqI 4c+Qt3FAAzrkw2ue6vxwiNZmGNjARiwyMhUl58oCA1TBfO3jNk ia8VjQZ2bLhWauO7yBkoK+rQki5XB4YHCKlTtLZ1zWw7I5126d 2P6iqlSYWsJkGc7CAM/C3A6u5Qs5h4AxcboWEhQNP5VyiSkoJDysVLGzOwdW2e9cfvGjp J876j4mRYQ/ELA8LS5Ml1ur199zzlKOf0E+6+kjP0OBB//rmD2xLfArACCdpcBuLLAYTt/7mwsUdhPQdQ/qO+fmtf24oFUZbyMigw+4ou/26C9+7gBDS00+Wn3ThH8drwEicADl0BKskTWFbJhv70Q9/Ojiw+N616zxgAe0hjLbA9K7AmvY6bcPiJzw30B655dsQ//XeK88jHX2k+xCy6MkX/Wo1HIWjzVwpgDIFaZFV0dr8iws/8ZgK6Vl4GOk88Ds3rdsQVI3i8DlkS0iX5RJs/GcXfW7p455085qNDMgBBkTCS4Cb3bZUheFnjDHGMMbCIEzT1Ek Gb9KkKbnwgLEwQJQLpr3Zsb45GB1+c3fHz95nrt2qcb6deILRR CsGGHhtbPvYiXXQ2mptg+IPBynai9G0ALpf3j5r7cyyNReCU+8 M4IyWjCbhAgTPwgtrhLMScM5qKRjgvJPeSed3NOuV9crCxTShm hu4THIFp4DM7JWyZnOKqjAlzbjtYZ0REr6dEznsPh+KS7KZRQp mrDpmYAxcwjPjfZLnhajaS/jpk0Fpmo6MjJTL5WXLlqVGM2udbsDHWkceJgUywPFNLrrv3p9+ 9fByubP8uL7FK68cibcAExMTAKgQQnsLmeVbN99x+aGELK5Uer sOJAtP/MsY6sZwWAOtQwI94yAchDv2qCd+59vfjbKUeTOzX3AeXnsnnPf WWm2MslZbq7WWnNMsSw46aAUhhBDS19cTXsyf31+pVAjpPO74p 09Wm2EYtqI8HC6zxltjjbJ/s/EZhqgSCSzbuGHNO//t9R2E9Hd1Hn7YYSVCKh2VJQcs7+2b39E9f3Dh0h/+/Ko9i7mhSQzvgtvCaAMPrTQ8tLYI2R19MEt5D2e92YWoCkFdbVF l62Abb/jZVxZ0litdA70HPfsXW7zz3FhqYZSXWTYJ5Er7tffdd1w/OaKrq1w6dOHiJ944XJ30fs3kZAY0s0iqFMh5Mpk3Rk845rDvff Nr8E45r4AG53Up5xJVANatWzc0uLBEyODAQEe5sqC/v0IIKXeRUmep3HX0scdvH68ZgClbazQ8YKynjAmpZ8raAGg0Gu G2SinDOA9jfq7+VNASysBkPDMwwggLY6ftkQ8qqpJGFV7H9cme Cukg5LCDD+4gZH5fHyGEkDIpdc4fWvqkVc++b3ttzyxVbVHFfR Znk+OjnN1k7R2TU3GtQROaGTgFV08jJdSuLVU0p/CoV+tprQGLcz/xmTe+6nXb162Hdx6othrUGAmkmgVD8l23/OnQJSvmlfsI6SelgY0NtbXRgJVBVElvFU3B5Q0/P29JZ6ljwcqFK068ZdvWyFrOuLMu1zocwlVCb7j9+0+ZTxYQUu 6b33v4KVePYCulDDAmTpvD8MYICh9HE+uOe/LTLjj/Gx6wzuWcC2MtkDE2l6iSEEFUObEdyW23//gzpc5+0nVw30HP/O29ieQtODqV8IhSDziuTTQ2tf5Ph3SRxYSQjiULFj3+9yNso4U SygkqRZO2RsMM0Ri5+/lPPuRL3/5+04ABqXMMCJaqsP3YXUuVEGKm3lc43wrAKy5FOMuCYD7mWrc/y3uhNWNMKRGsPH5PLDd7mzlFFeNplkWA8U4pSbMskiKfPsjb3s 86134Yw5a+LZg8pJBKCa1EkKEzR1YxLa12cT3OasZyJbnfkU7M NJu18EJJqlQIK7XhvNT9WrBJcyUsnIFrJpGZ3uCLPXBtPASI2h Hd6g38TsLGAx4ip1kz8lJD26TenJngvPfGGKUUpTSKorkC26l3 EsisCZl8mXfMO6a0wY4Q4IfjvikISCnzPDfGzCwwzrl169Z1dn a/8IWnSbjYpPANoCVFboAk5JKR9yC567pvfvSxhBDyjK5DX36nxN 3e27gKS42CApqSx77xgZcedlQXWUQIIQvIYS/9awMC1oEpF1kXAxrcQOITH/7kO9/8njji0lsJI6AFtA33VcFTzDYme2+dM0qJkElhxnyV52l4naYxP CQXAIRQzrfTeku1Y6CInKatOiSHFlm9urfHp1fM8CysCJrnPIu N5kpIB28dWim1QK0ZBy+P2oM4SG/gDc/iqN7IohgOUTOFRxrTYJsK99Za7WGsV9OiaraZ3buQWUrBAsYKm Ah2CnTDlRd/bLCDkMoC8sRX/SYCHAW4twl8BvA8SxJmTn3xK55EyJMrhJQeP/+Q52/P6VieNY2UQCpy47TgqZP0zPe+6wPvfocRVHPhgZgK7sHcnJaqe r0uhBgdHmnPKoxrLuDbien9dDIF69rmqDzPndvR7zRP40ZN0jQ MbKVUGOph74e5D9ZIINEmVjp3nnmXKJkoHufZDpvBrGUDMM6G7 lQwUvMc3sBrnraUpKZ9/BQGqMdMYk8skQ6eSwHqocJCJIEbTPqTJkNmwGiWpXEGHtvcC7/rQPU8TuABY0O++9Oef+rW9RvhDJyRWkVSMYACuVWAAU/A0/e/6fX9hHRWeki5/6o7N9UAhNpBsMZpqygUverrZx9SJmTwOPK4U9dMxbnxlHJ4p0U G6Ewj0zj7ZYccQchhPaTS0UOWn/qnFJsMMkiYGuQENNJqrDQ980Pv/bc3v12btrwQUittHby2ZnqfYmc17aCnneYxxEakN/3+G+8klQHScTg58OR7UihWh0lSKyUAD9tIETfe9soXhPOqpPto svRp91JsAZB6aOOijXC1KIXx+PC73/r+t7+xnksJNHKeaaeARGoDaOMezDH3/3HPJUlCKZ0xU2mt4ziG0zJpwRvJhTbOAI1Mh2QW3EEDxnotFby B054/6kpyP9hmwwCmbZpyElZEjcmZpApWChg9k3DJW2etD2Z1O32mMl go24UYwq5a77RT2oWo4lm+w98IzfMobk5IFgESXjidw0g4DWN9 GGez0q9MuyzbbkrhDHU2liKSIrMms24ySfdGH84pqqy1jDJnHT xUztrdq3YMsnbimWnmmtRyZyPGJLBhZCRmTAEcPiw5hah6ZJkt/5VSQogrrriiu7v3k5/8tISr8xBp2mI0kdamITuOvhfZ3Zd96t8OK5UIWbXs+DffKXGnM bDUyIRTrYBqnp5/2Zf/6Rjy1fe9c4CQzs5FB5zw1psnlIA1Ls9FDci1ZrC45IJLVj3x6V mTc+YUHLMyNzw33IT0QiFFz5w7obaciuNWe+cBZ61Ok1Qwnue5 mZ74rHOMa2stYyykPpI0hTNwGorP7o29Mj69hhFZGmnFd5zD8/CANi6IKgsoa6uNhtz9IKA0aSVxs5182KNeq5/8D88dWDAwvG3MaGOM894DTmvpYRz0LkSVsG1R5XULru6ydd/45FsWlAkpzRt41lv+KKFlDHDJ60AOcMCd++ULj3rSU845/fTjOkql8lGHPfX0EcZH0oQBEohZ6uHyrPXdSy569jNXpc0avGl Uax6YitJQkmgXlqrJyUl4TE5MJnECj7jRlEIqbT2gtE7SPM2yL Gdhhp2uUOmEYFpL79qKQkoZ1rAwyCmlwWQ11/3lzsVKc0AC1SQOF2lnO2J2Xjw4Czm9TKM6Dm9GR7ZlaQteA8Zb x4VI0pRKqYFgudldPGC9g0DWzGrVWrM5sWbNV177km5Cen929e/ClTCo1DOda2/8XKIqyzKapBPjE0FXbVy3/kPvfT8cWJ7SLDHOSiB3LlKKeeO9hkjz+sTt1/+mn5CFA4sXLnrM/1x2xeh0QUZtlTISTnqZX/xfb3hsR7k89JTelS9b18qphdYW3gkaG8O5xzlfvuCfjyFfeMc7 juyvENIx9MTX3ZpjEthaH4OpwdVFJiDxuXM+9Y/PPSlJmXWIk8SjXd8pSmI/bRV8oKhSAHcOiCE3Ib3pB594WaljkFQOGzjqpWsp4HOWTgbhFb UiKFz6pXOfdfRB73nDGxaWSv1DT11w5HM3KGxyLogq29oAV6MC X/7a+Sc99Um8NSkB7lyTCgVwa+sZnX204qGLKq31jBSYKa8EwFvl eQ5vvHUhAo8apEKkUiZCtf+WdVpxbxUE3f0RtHeZS1QxmiRJsz oxDGh4BegkmQIkjIazO7JYznrgs4waa421KaXCWGmMnrXj/f86/gIhcBDeCc60ZnDteCkpUyVTQMIbLZnIqRFSK+3sjhacIcZZ46w BmlmSGa2AOs0Z/B7GvD4EiIATc1iqpiYmWZqFkMm8FeuUQlkpZTvcyrc3TDNhDQ+ KAHKPiYSGs98SmGjF9SgNLqH2YvCwjlwWALNuR3hNKTXGnHvuu R3lzp//9BcKspaPAS2gxZlhBlEojoF7we/65DtOeUyJEHLKyueeu1ljEh71LaCTSV1y4I/r1i990hNu/+l/feKMJw8QMrj40Me//KN3Chg9afSkMpNAC1bce9vqow9e+csfXAMLpcCBzNPItlIkOox eBQiEgX6/vHCA45wGt+DMw+ycAVwo1OWs8M5wydKMziSVmahOZnkEb+Alb9 VMNgWd7u3xmWVZmBFmZlLOeZZlYYLw3idJ0mw2ATyUKePBbqTR LINVTig4D4OTn/WcRQsWb1i3WYkZl6YLrhg/nRHUt91EAk57344eVR4mXIaMYJuI7v3Yv506SAghvUtf+ck/OHAewaeOjsG3UtraPDx+xBNW/fraP//P655/XJmQ3hOe9erPSpV7KC4yTC+Ha+/bdPgRR//mtzcoPXPe2gCO0RjQIZbgQUVVnuczy9dUtTYTaaEkz7PEWR2CJ +CNYlmouGd4Np0YTENTaOqnU4fjfp889/0NbaRBKZAp5MZzNZP5/f7uHgsI43MhOZf1ei3schvV8VD+b0ZAeyDKmNz9cAVKszSNkQM 0LGAc+gevfB7pXfKvqzcDFlm9NsrrGTQsHHd+DsKnZVk265Opt RZaQUkLCGBCqLr1AnCew8ZIJ6buu22IkHn9XaTS+e3r/rTVQAJKe2OcERzegLc+ffrJR5cIWX7SQS98dzWHD0NIU9A6VHz zetvzmOfc+5MPfe/sfzyQkF7Sefzrv7RaoQq0dA1sG9g2NLFtfXX5kcf85OrfGKAVZ cGZm2bUA1wK4+wDRVUYyQrIFYAYai2av/vCm47tLC8ilaOOf+Wn70rgkQG5BB9pjYHS4TVrjjr4oOt/deV73/rPPYSQwWc+8bnvHge2WIUpASZA70W+Zt2wWn7ESZf99JdheFnf HrbaKsrzsHmbe6c3J5xzpdTMvVBKRVFkaQrJYBU8pHIT9YQ75B oKyDWEbQcXWUGhxR4Fbu9dZuI175fCtF0w0Ut4qWjkZMaiSZgc hkNRz3PHMsMzy7nR0up25KsBhEGmghMAAqCUhvk5hLrO3vfOeU HWac6sFG13nsm8yeAZbB5E1cwWdFqB7XTmzk6fDjFA7jARpwJo cNkUhu3yL+8xuxJVsM4pzRnnlMMBFnkrYYzddtttn/rUp1atWtXV1RXCX0I09Fz0Ll5CeubdtmbNWKORKRV2ioWoemTJ 8zzEZftZcYJvetObSqR8+1/vYIbW2QTQcq7hLIRDy/smAKx19I43vfDxKwgpl19w2hk/HAXGrBGja8GqsNg0Nva8153+1o+eDXXb6c/sHyCk0r3o1A9ccjtzQMuaKtCytp7F9de+9JXve8uHoZEnuTGQA INIkVDkFto554SDwIyPb9oMLEN8VUikHiY4a7WUPEmiJInCg5R nLWdDXSdo45I0DTt+bThnGWcxnISjeTTxNxifzrkZRZWmaRRFC IXtHhG88cEGZpwz1im36rinD81ftGXT9lnpxMPpSGOsmEtU6en/tdZ60fKmoafuOuN5Rw+Vy4T0Pu2Dl94MCBHDpxCTRk8lefPFL3/VB8/+b+nxr8cuX9XdSXpPeOm7Lga0sTxOGgA8MD4x8ZrX/uv73v9hD2S5nNnfKyW0orsWVQDWr1vvnac5DQWVvfPGKEwPCUa zLEuUZF4LeEPTKBzEg9c0j6EpvASwbt2666+//oILLnj6058e7uDixYt3cX9Lvb2ks5P0Ldo4Pt6imtr2JPugomp 4bMwCynkAnFN456yCN0Yya6QxguY0p1Qqle6JpgLgKM1CmLTzl ouIp9969SllQp57670ihK6P8vp42mQZg53TwuqcC498nuczmrJ Wq8EaGG2BTOuGQxa2DbQpWU1MbW1tvOuAjo5yifTNH/j9lslqCHk0MMZpzuCNSqpvOfGwJ5RLZNGqZ7393MS2RZUVKUwa T20/+ZUfecXbzoO6+V+OJwcSsqCz7wUf/P5qhe1CSORg26DHEOMlp77m/R/9lADGa7UQAkiZmFnsHtT9F0ay9D4VLogqNXnV+563sKM0VO58w gv//eJ1EpTVgDzmLQ4Jxl79ghd84O1vgzUves7K/kqF9D31uad/ZgoYhkNTgwmoDRDrTjzljLe89xwJTNbrwUjm4Zy32qowAEI5h9 0SVWEGMMbkeT5zkGJkZOSqn/7vG1/36kp76HUceuQxF37r0jUbt4UqnBrgQsBPP+b/d0SVN1zKvFYdmaqNwkuRNf/yx9/96PJLli5asGSgb7Cnc15HqbeD9HV09HR39nT1EkII6Zw3OEhIB +no6+zvJ+VK39DQyMjITHf5WZEqu7ggmmZeq+D+ozT2JgM4wDf cd8d11/36gvO/csLTnxq6e+miXc0DPfPmlectIF09a7dsiZRhwB7ERD4U2qJq+o Cr99OiijEWepdGCaSBxciGzVf88Mc9PT29vb1dXV2lUqlUKnV1 dfX19fX29nbMAelZ2Lf00ONPfH4wA+QWkbBRzoPPwrVjBkItxl Ait+BhMZMTKEmSFStWVAgZHx7JfZLaBtBwZtJ75Bp1YAoA7vXp rc9duWApIaTrdW/7r9XjQB0RWhvQWAeNT3zpwqNOecEYgNFfv/YZ/YOEEDLvDedeeWsOYAQYBSZb0bbzv/L5lz7/n9IJhRywEDyU95IUqQA10FY7BB/SrAkrxFTNyCznjJRcCDazcVRKeJ1aGQNSSSo141Jo7yyQiSDCT J5MwWTw+djGO6/80SV7e3ymGZ0dmxlmhTiOQ58zmjmrrVF5lghO98CfzdMWNIc3c IB1XuGEpzzzgIXLtmwcht1xkNhaDWhtWEgW4MHgQ1NBVCkHA+g wJbIWVANjt7/gCUOLS6RU7njZl6/7I2BkDB+Djqnm5st+dPkxxz+zRbFxOHnZYwdWdRPS86w3f+Ya8 BbyOgyFtfA455yvnvAPL4ooapFW0xnIACOyJpAD+VyiKo5j79s dF5KqK8ad0nBa0tQIqlgGI2bpV6nzFiyH5aw5Acfh+NTwxvPOO +/QQw8lhAwODi5ZsqSjo6NUKpXL5bnub+/ix5HuA0lp6JCjniE8JFBLdT1mZsftmwlulYA0wFSUceO1QUbzx lQ92Mx2TmThZuJF9uABNUaBApGVTjWzSdBvnPFiQgbfcP0dSCa mYE0KmUKqTIlEPDCrxIylKk3TmUG441holoFSYXw4jJkCFDanT dgpV99Yv++m5Z2ko0xOe80//3G8tk65HLAaMLA5h9PZ1PDLDus7lhAytOrVn/tJrqClAxx0itbwj774ycNOfM/qKaD+65MWk2P6yELS8fpPXb2aYgxgfgp8K5L1v7joquOf9Nxxi UkN5WBD1U7rPKC0nW1I3vmIuzbQ3CBhAGLI1Rj+8WuPIR2lA0j Pca/56M+3AM18RCNu2SkB/t2vfuF5T31qGrFtm0efetyhg/MJ6V71b2f/aByowSN1YMrW/vT7n5yz9Mh/HImRhSLWTsIKWKF46g0PySGdlTsnmXSY7u657mKoQDWzlbrlll vOOussQsjS+f3dhPRWKsuXrejqnkdIb7l/ManM+8KFl26vpQbgwVrlnKcZJJ/r8/cVO89s999ywMuxbRt+cOnXly3s7SJk+aL+RV1kQYn0ENJDSDch HYRUCCGkTEgHId298w8gpXmkbzHpPoCUB0964Wuq1epM8a4ZLb WrQHUHmVEYA2Oy1hTAATo5uv5L537i8EMWdxCyeKD/wMULeyudXYR0lzq7yz3d5Z7OSk9npaej0ttR6S119JY6ensGll T6BkmlZ/nhR6UWAqgxs72Zzfl3HwZziirvPaMsS7Ngo7r8u5c//djjwsa/VCpVKpWwaIUXu5CHlf7FpGvg8+d/q5HnwnsJxLIdo1+IqkeQMC6FEDOurjzPCSG9XV15nFCkEhnQkH zEezRzWQdq3lt7t2re9JRDyAGEdPa/4aNfHR91LgM3U2vVxN333nXvsscfe8Wdq0e9V1t+sWopWdrdPW/esn/9/C+3AKOjtwBjxoyOjK5ZMtT/1xtvdSlc6hRX3oF7n1mWuZj7XHulpfHUQ8EYNVtFzc6tQGkWoq m8t4zlbVegZzybAqQ1wkHbEFzjvYFlLM+yKMSAXn7ZRc9YeXjP 3h+fHpBKcyGU1iEVE3baaTnvpoOd4eK4tbv3MXi7OMuMMk4baD xr1UlLBpeuX7tZC22NtcZO+0Z3Jaqk9W1RZQHW8rJuh//yzMd0LCSElCpv/M7tNzpnZGx0wyTbG9vuXHbQgVdffwt3GKvr5y4uP5EQ0nnCZ3+ wQUQT/4+6846yqyr//p5eMyWT3iEB0qghdCnSwQBiAUGaiICCICAgFqRIF0VBBCmCdAg 9EEghkEASAukhbfrcueXce3rb/fv+cWaGQQw/JwZ5fdZeK0PWzIS7zz57f/ZTvg+kDxHwOF61ctXo0bvMf2+lFSAUcOM45FIqeJ4FTR0nFUXG F3iqpJTQsC27p6RRSM2FlizpWAxBoXkYOFLEjAaCBzK0oaniAX cNqOjFF54cUlOaeB/LyspKS0sJITU1NUOHDv2C50vKR5CipvET9r7lD39P5QtJdrn41 FOFf4Iqy/OS/w4jnqS/2FY+YSkpKGcRZxGgPC/QQBgN+FB0XVspgRBxOpBQEhHwxKmHETLozA8+gXRDSJHy8tnIT loRbwuqkvc9iuN8oZB4bU3b0kBPO2UFT6kC5+kgsFgEUM9uRph 647G7BxPS1Fh/+333pIHNEp7WSgASwgu1ZFZ389eHkD2Liup3Ovpnj73vxsp3I0 BB+puXvj1zdN0jc3ObPPitz3xz8pBJJWQQITc907yewQCsuFMF Wzcue2li7eT3F32SorABCRimyZSWgJEUdQqRONT/JVSFXNuBBmwdrxTNT544jpSQocXVM659aOUWpZy4myrThbl2y5 qh5UUrFy6ERHtLavSIitoqQor2uuvxNW2cZ7SCq5y0kVo9e49R ZMGKrK3Qms97AFRv+wQZQ8ZSxmHo9tdaGihUCSHuvPPOYcOG/fa3vy0UCogCcA6lHn3475On7FFXN5xUNJDiGlJc88jTLwsgpiq BKuW7Ov6SAlDbb9uCKs5DIaJXXn5u+ODa6hJSTsiwhoZyQuqKk lZGpKqoqLasrLq8vLKsrKSkrKKipqiosqSigRTVFtUMJSWDawa Nvuame/pi94yxvqPqCzxVggkeRElxSuxZQPTii/9oHFRcVUZKCaksLU1KdOurakYNGVJKiktJWSkpKyZlxaSsiJQX kXJSVE6Kyour6klRxcgxO93x57+m3SDS2ojVlxX+68baFNagG0 jBpHBE4hPjCGKY2YJa7WLDI0/8trSCNDadRMjMmrLxP734+qfeWrou4zDZAqRkuHXJvOdGTpn12 CsbwhAIAW4izHaLlPdlpYL1M82gmYLua/HYU2GuOVQM5UP5UDE070k77Ek3Rl9uhOytRJdQn6l87PedPeUr mmvFEiUMzoIk3mGZeRqH0HBtj1PxmQod1c+NqhGHVANSIWBSAB RwxQ7LzO8r7k2+4Jxv3LixrKzs2986XUnY3Ivgaa8ZOusAloIr AF5A+KK57IaRQ0nJ4OGk7pT7ns7BB4RJU4vBNu1x/vdOv+0hywBctHXeM7iWjCRTp1YffP3sBRsASFtbHUpg1omnX/mzX0HBsWNosGTX6LHP3XUGaP/z63PblgRx+qdecc6TtCKqckwbVKShjW9POmgfMnFxR6EbyeJOE v4jCQRUIKKg3GZJQlhgx9nEOwFlcOSbeWcW0goBF2L5zYdUkzp yRFnV8X99+/48DDfj6AJVRuqS733rh79/disAuiS16K7xw+oJGU7qj77n1awWEWRMAxca3zhh1q+vu8EPGG M9MqnJG5ckLUXQUZKtqvRnRf+SW1sEHUMz9Gqrcsik3zMFoBkQ aXgcbgZIA600dAA4m5HZAD+14pnHS8gYUrMbGVdZNnnwj4+7eO mTH3SEMAAfecD9ZO4bkyubXpy7JAYKeVYoRAzCog76ZMc0T/rCaMQaPDnSe19QrcATLe8d9XA5577vJy6lROajL+tOCOF4bsJz rpVB+uMfHLQTGXLgB+3J/qUheORbDKEETSog40BoCWhIEQNci6g32hv3TLLUEBocHmBpxIg FLMkMhB3wN4A3I4JOR98/6czGmpHT9jxuU4qnJXIABEcYOEnZSvdG+/03R1QSUkrI6Jl3zF2LKKG0NtDmQ447/Zqb/ow4RpDqhfhjrQAAIABJREFU3PzyyAZSTA4rLjr20bcXd8N0kXK jT5Cj5+x/6qzbbvkE4Pk0xMA9MR5HBEPBULBWPrlzMZlMLqwgZ/x2/oPrYaHAkGKBJb93/iXnXn9dJ8JIZFq2LG+oJA3lFWTIAbe9sQWeRJQH7zRal8w65yc/u+kPjBcAP8ns+VcR238d7OsBi4BCgGsVQbdFjgNEtBM8C+mCB4 XVH9180YVkv8tvWw5Y6yA7tA8JtMl0JzpZ80c3nHbiZEL2IYPI uNFkzC4fW8gByAIR8qo7hD3Q6ekF0F6HpdKQyUjWOZT+bMNjKS FlP7EV3e8nVa8Ebr+fUIDEKt/tBEIBxEDmDbTOBtt4zx/vIoNmktp9SR0pG1o563sXP//qkpTlcCA5XOc9dMdejeSFZetaObQLRAjRyZAWaROxziM2wQb6e bdonQa41Yn2jch3fPj4X0sIIfXDyLDJZOLMr5/10+feWOIWHBmagnYD5ta3X9tzUN3r8xbngJUi+ogFLmyHdoFmQ bOIAAouwWWSaBhCcojeOVSfSitzSA4perRDe5Mr/j2nD8liQwbrkQHSsDk8lZwznFkuQifApqtvPqOoglTWlBIy8wc/uH/F+22BDSdxpaKL8zboVL5zzddPvXrQ2CP++McHQSGinJfd6sHdk mkf6CQO2L4iqIpCZ9rUXQghQ5oaE09IESmuH9RAiouSUVRUVEy SUVxMiouLiotIcXFJSUlp+eDhowghVQ0N895fuqOmQSmVlJf3B arnzZtXUlLys8t/Dg1fRxQBwjYl06aUBaFiAMJU/gvdi35RW0lIaRUpOvKld4EATqEVYsszj9/QcPTBL7cHksJLectWXDdp3OChZNdGsvPrnd6LmzZB2hDWbbfcc djXTnAsRiPq2DGjDBpS9E3kfwpV//PrcxumlEoq19AXGktOYjeEQsC6FSzAZDR1wcwTdyfj+qBKsIhz N44tCTAFCGWmsw6HFUWGmxYIQEFNChQkzDbVnYOyQmhHOwt/cWAFqSNHEHLI08ufyoh0Uo/5jz/eceIB+7zVqbcChe5XOhbcPqK+kpDhZUNOeHhhAHDfySsWPfDXB 2bsvW9bc5cG4ljtQKiKtf48VJlAp+tCpEDTt/3q0nGEVFdMJNW7HnvByY+8+zwcwEWawwYY3DDMyNbmS2edXjN0 p3seeIDG0Brd+QyD+KqgCkCS42jbdp8wT1/pIhPcyOejyAMo71h21swxpHG/OassGUooQAqAS1DDTAfBp80DCvkCIOLYUzzcFlQl/phus5upAuBCGxAtvrXayTj+1vyU0ZPLSd0Tz7zbZcMCuhPV2yh 0AUtrdG9Mvf3C8CSKM3zvB5d1ggNC0GDTn+687LATz9zQ4aowV F7nmmWPDq8j1ZXHlpYc//wHq9p5Nhc3h3zLE3c/fPZ+33wr8JZ7HjxTsQFXt3Ez1KG2AQdIf/DwBEJ2IudWkDMe3frWErtVGTF83Hv3Q5P3ObhNs3blU5VbueLt 2lJSSUjpiEMeXx3ERhAWOmTc9uLjt02ceURngCDM+H6GAVYQbB 9UMSVjoFtGPVClC1a+vW3L+tMO3n9afd3t77AlAGRH5G9CBK5U h84WUECh+ZMX/n7K5MmTSQlpaiget9vji9enpUQeOtT/f0JV6IdxEKeBdqVCAc/wotbZCBb/+fc/KS0hpHyPqqFfO/j4gx9/9ckkmyPQ4EAQMiNtwG27ZNYhZPSudzz1vHI0IhjBRoY0nJh7LK dCd+DpEF3ABssCMxGZv//FZZMIGVRdXdo06sTzrvzbwtUGEAIsoNARYMZxt2recPlJJ9cPG 3fzgw9uAtqBLdlNEjZoFiyHGGAQCkJB6Qgq+lKgiiFLkQGPEfc oPiRV6hBdsD554/n7SDkho4aQ6sbbfnO/3a1jjWT/Y0Co4AQxlASnzzxwbw0hw4aMXPDuR+1mFAJchPzLyq/vZz1QJfsWU2+FeY9KMFQMzZBI7OsdBlWbN60bPWpoESGjR40oI qSIFFdVVJcWlyU94UlRglnJKO4bpWVVhJQ2DB1BikpJSdnzc97 cgTORbOLorTu7/fbbS0pK7v/L36DhqZgiAu0E7cwLmAohAG7Bnb129sXlRYRUN5Kqoz5sATSVr plr3TRl3Ih757y9mYMB1NTvv/SbCdVkGNm9qWLm4ysWdwFRIVi3fM3u0/Z74bk5UOAUUoDGatueqv9D9+Vff6j/9fW5DeuvgNf34ICeCRMoaNhUpH2v9bTdvrYHGb+oNdeNZN/kUIGgds8u6gcQMtlAA3gCERjiXATYGna3zpmQbgQ42PTCZXuXk SIyY/DIk+et31xAyOLOrk0fzBz7tdn3zWkDNsNG17quOU9WEkLKSfGY 7yzchESquKWlZeiQkW/NXQANIRDHPZ6qXljuKc/j6NP36t9OlUEzKArNerQJIJLNi2tEic6GdqAdgTiEMoECoBFA2 oiyC55/uL6svJRUVZAhP7rwF21B3oWCRFBgjkGhQMELvAtRat5zf60mxX WlY+evzaU4KI2g1UCgKhTYYetBCBEEQV/6CGMsUYFP6DmMI8oZZQFA4Wz84SETG6edsqQV0ge4TnJyOaJIe lrDcbjWkApCKECZhazozd/vf1hCaUhQIAIML4SG4y/Lds2DK8CAqPOxv9xYSsac+e2rTd+lgAdkYwltgeVCwJNAYf6a2 b9uLCeENJFRR87vgmOsBbLprV2j6ka9tfRDRwNxBn7Xyy/9raaKjCyZOoxMe64jXA7AnivSLw1vOuDVec0uRLewAdXT1Xggx m2FGBqRgvfWG0/XEzKe7LMbOeg1gae8LIx2vuLdxjEHvTBvUxbaQgTasfDF+0vKC aksJ9X7L92AvJYcvvXBwoObav6+ev3SWEAECC1XSLodnqowhBC 20iHgI4gQOsIXEHA33PmDY0jN7vueeGmOIQaMQofrZz1EOe7IR JnK3gqevvzs42qLSTGZWF6/1033v5oHbNgRXBH5kAPOyusfCekXDOkLDUPrz15hPxc47s3J+/x1lwMcijsF0wKygJZAYMJYsfy5OyurSVnDMFIy/JJf35O3ujWowxEADtBFBShoZwqq+Z0X7iwlFVOnH/nsgg1dMcI4B/iKggWCImQYsOfSV/AkoFrnv3LfyBoyiJCq8ok/vPTuTQXkAQ8i7beZ7ibAgESUZ7A2L3niD6SIkMYRr2xs36SRk5 FGAF4AL0AyqB5QUuBasf7Qmexa4rN9bLSWGgNrs0M4chw5SAYK ySCZllIrHYu4LUx9NLqBlFaXlo0fedRJ33EzAIMZhKbvW1EcK0 UBP+ZR4Meek9uyYbcxY0qKyqfsfkAuQtpxKPO3wzMxYPuKoArg NE7S3JTs1Y3l9IugIY6oBqKIJ5qQBdvdgcGn/oGkJG/67LPPHjRo0Nw350OjELsUEViXitpNBRdwOIdy4c5++75vVhQXN Y7euX7Et1a0AppCxGecfPxPzj0jA2SAjkwGHLPv/9H4KlJHdpky9sS3u7auMU0InHz0rCsu/yUUjKyhe9Oos5nCDoSq//n1uQ1L3Iqu67a3twNgjHmeF4ah5NK1XaYMDduPOgBz1tgZexXv NH9LdxtjgiaJ0pFkjtA65txJZyBVKp83XJciMt1sohaVQFUWBQ sqgap37zt9r1JSXnZAw/BZm724KypEQdu3j9//+gtvRYDVjrMZNqzW1Y//qZKQooqiip3OWNoBGodK8jPPPPP8H1yYPN8tW1q13sFQpZWtlc 11FEJZgAloBJGfzratGVNN6svKRw4d992Tz29pdVwog0a+44MD EqEfOrFHYUfmVq9j1e4TdyklTXsfe/a6nCUl/wqhKqkOSyKASblTQlRCCM551shpIKa+YXTB23z4CEJKpyxpBTh sw1JSSBkX3KwE1RquK6RUfhABYCzueY+2AVWhlC7nDAj8QGI9s AUh7Jyd2rp05+ElB+//rU9WuXbox1rnKTUloC2IfAi4QsNc8NZ9F9SXkqKiIUP2OO3VzS FUt+83f+eEU2/71W2dTtJ4Ow9uPPDXmyvLyVCy6+iyvd5j+BhAuPD7xzb86tqH0 zYMGjjgnFPof8UwX2wUoGDcjVnhoQfuaCgqGk322HfQsc84wYd AZu2yq4/92uW/fMBSMIF2N6uitifv+01pRVHtkMGkar+VzfAAw+664oSv33bu6S 3AGoAGpnANh4vtgSpKIUSBi0DrGDTUga8jKumj9/x8AiF1Iw9+fYXZZoce56adAiJXh4ZwoQAKr3MlePr+3102uLK8 snwKKZ54y4NzLMCBEygbkvF4wOGwLx2qtIg8Px3HFkAjBhF4LQ uPnFRGiklR7eCjjj1zU05p0DCyM26Uj6KCEAlUwfWtworC5rnT J+9JyNBDTrnogy2dgK+1xwLBQylA3XjAJdIxYFGRz304ppGMqC aThg//1imXbmyHCXRGUYdl+CgARhR1RH4Ejji9RjYvnbTLJFJRN/mk05bbjgOlEUCYkBYUR+/89OTLfhlQBUZBYwN+Dl6Pi4sLrXLIvPPQTWfWEVJfP4007XXfW htWBwptMfwITILHHJaCC0gKeDm0vHZ4I6muIKSi5t730ks8gIP nnYFO4kDtnxSP/s/RPxOvF6o+M3p/7+fGZ6Eqm+nUikoRWWY+iTcmDYOpFMkQQkieDCW5gobvBlEsNO CE1PKjEGjJ5HbUPMRx3AdVySZ+0EEHVVdXb9q0SSmVjxwKBdGN qD2pCYoAKBvWnGdvPL68iJCaYXU7f3tVFyQNH7jvT3vse1S60O P/MOM2oOvpay+aRkgJ2W36zLNTsDdHqXsffPXQg7/rOtS2Imh4bqwVoBFFtF/e4X8KVWAMNPzfXZ9fbD1+i37igcmEMW0oWEHcmc2sO2/vY/cmO6+xeQ4AQwJVUEGiqAShfcMMJRhAwQLmUZdxXyjlagQ2nAAy pICPx64/dbcyQsoOqx160prcZgf093f8eeaUmZCUWUazRAZAeuHzv/xWTQkpqhs2ePI3V3VDAnf98c8HHnJEruCaThhz+AHTvXt17w7d 4yTX6OuF3PP3UP8EVb3hvyTqoBFChWCQWcisB3iAn5Q6O+uQXX HL5ecTUkrqppGmvVa8vxQKGYd5AhQ+hZ/clAvgFlyOlVbXGzNGjhlNxpC6A+94pRlCgvFeIWcJzbYJVRoKc sdCVaILH8dx8kX/dpwAensNMcgQxporTti7dtcTF7f03ghpDHCBWIJ6oZaAYfaIyn oR04DtOj11AD0n66dU0OsnLhSsTVAIXAqkgNRPLrihlIx6860X KDe5hGlLgUjAh7YgC1IhpoA575HrjqspIaRkbMluJ67yAWTv+8 M1B+x9ZFuHY8tkdgzAuPfaS0YTQipnDNntVBvIR9aDD/52zz2Huq4fMXgC+UDJ7WtILIBIFrRnIvvItedPLiaEHDhm8g82 FFKp2H3g4YcO3/+gKKNBsTmkaWiE6x648dwmQsZXDSPTjvsIQAEP3Hjb7oftWdBW wQcFOvxMKjKguRx4YUFylPo0CJAUVGolrM41705vJKMJqTvwR6 s4YLXC6/SALNc+LB85MMCFzG3R5ppnH76msY7UlB5AyPTZ81pdwMTmAFsg IAeu/dm/b9bnoao/PPV8W897mozE+rdeFf80tI6UCnt2ancTnI1333hVKSkmI/Yg5WNWdrbbgcXzWTgmAwwgDXQB6PThZqGW5lqf2WfE8PFkAhky 7dY3Vyb/QigRCEC53EkN+APLrfDWXHP1zwhpIOUTSM0u7yxdKwDXM7jwBV S/EgMNEcJbTJtn7zRpJKkbS2qn/umlj0MACpAOpAMEAiLJWEiqz5PLSf+my5+Fqs/lRv8bRlQc6TjKaS+rXRVpFWnFuJJZ1b1gXBmZOmYMISMvvO7+1 QBYATRvRYYZOUzGlhtlY+YiuQEW2MbZJ0+oLy0ig0eO/dYNT64FPNNDtF36hwOxrwqqAK4VVbJH+7vnF0r9md/T78eTRl1hxLkQHPCp2LGKrsl+naBVYrW1tYSQIAi01p6K+0OVr VQMsDinCq89fPXXqstKSUnd9MOv6Ioxf+6cfffa/Y35H+VdUKDLMATMKNpy9zknTyGksmz6gV//SQ7B8vT6+qG7z52zWitEoUqgqudjon/R138KVSqOdRz8767PbX4upSilURSl0+n6+vqkVjGpV6urrSuuI KSIjB5XVVpCZpSM3JUMJ5VNpK6uhJQQQoqLSXHyR1Hp4LrGckJ emTsvFGJj6yYJriINCSkdjcCFF0BGDPBx58WH7FpKSMnX9jzgZ y1h9wcbVo4bPWnR64sgKTVzXUAGiFrm3Hb6XnXlJaRs0PSv/yQHvL9s2YRJu81/Z4kXcipguZEGjHx+x0KVFhktMq7WHhAAFPC6PqAdSyYPLhszZg Ipn3jGpXeAy8ALKBAoZO2ujmyzl/EQwIbKUANYp7z3pw8e2kSGVI84ctZVj0Kq2PW+KqgCYJomgCiK UqnUsGHDCCFVVVWJZFrD4EZCSHlFcVU5qSVkj3JCyqaS0l0JIS OHj0xUjkoqkuVQVT94MCmpXrBoUVc6LYGk9+W2oAoavucHQQdQ iMN4y8ZWIPXss3ePGLzH3Xc8AQSW0yU1hIIT5JlyoS0osweqrP m/O2/PqiJSVDpuxCHnrouxfv2CSePKX31+gdRoMcwQUCoLGNedfeq4k pLi6pkHnHi1wfk7H743bVrj8uUvpVJpCVixsGJsH1TxiAuPWgg 8mHdecMqeVRWEHDj9gCsMsPmrlo8eP+7Dd5fAQ2RHnRo5QPlrb vjxcY2ENJHqad+9chOwaPaiw6fs+Y85TwaIKJA2zQC8oD1oDjZ gzxAUlzyORJz0/PGA0E8/dOcvRxEyqarqvLveWsUBbiDsLjDW5oY+rBD52I3hAqKgCqufev CqmkpSTmaMG3fC2nZYUubVxgSq9HYw3pcMVUAsZSCATD4PlTK2 vjemobipvpFUT7j4st+5gE89CAoaZi0rI2Ua2Oj7SIXayQAfxY U3dqooH08mFA2dfs4fnjLzpmKKJS16aAFxfqCf1zE/CrNLhw1tGDFiMikafcYF14cKXhQBVKqw4Fhpw3CCHll8HjkIP0 Du7eGj6klpU0XT3qde9vsQ8F1fCxvS0drnmsdaR1orIZWQXwpU wQ8QhDnAAEwg1ApqI+jGT1748wRCysnkkmGH37vKXgGgazG8tU C3ry0rubAk/ePyrch8iA2zTxxO6hsbSMXEH963cJEL7XnYPlHpgVhv5XaycSf BvhiKJ2GS5LX+7BafdBFKima3BVX9l+6/hirfM10nrxUFFI1DJTQ0Ai/cFlRZBRsalKmC6fJEPAiw6A4LPyVdhOM4TkIMmzZtIoSMHz8eE EqzpE0HaDeCDhcwJGIAzEZmwY2n71FTSkjx4G9edMcHLTjnrIu u+flvTWBrwBABPqhYrbDhkhk7H1ZSQqqmHXvaLzJhePJZZ13+y 3tMiq7ODDQs05MCwD+5qfBZ1/p2ear+x9fntqzPrZhKpcaOHVtcXFxUVFRRUVFEausHjaocREgp qawhJcVkNzJoKhlNKpvI0AnlpLy8iFSWkRJCisurisurqkrKmg bVL1m8TALpgiGAmHKlwUFlr7dDMYowvvS0w0YUE1J+4HGn39kt s0edesTPLroVDAVzJZDqYjABtL905RENpJiQosGnXXD91hzOOO/Ciy77OQMKfo8sqhPEnhv1JqT3T0UPoULamyErgMR53rNtKdYbD ex5mRKo8iF8uBDt4G0mYCWXSAF0vv3Rnefv0lhNihvIHt9/cD0AP3JSHkMooZEG0uDQnrQhA3BK5wJLhlSQsdW7EnL4hb9dJK NIU9oLVTxRwQR8jVCD9UBVMjQUdCJOsaOebxzH2Ww28UQahtHU 1EQIGTRoUEVFBSGktm4QKSKVVaUlhOxGyMxBpHjMEaRhZimpHV rfVFlaUkIIKSZlg4qLKutIcSUpqli4eLlPpQBsP+pTiP6n8xQK zMlwNwslNI9dPy0RvL98fcOQ8T+6/KIQsQA8T3LtAIFptWtu9cRxYSqRQm7rFccdRIoJqWrY6+TzUsD RBxx/669+6+kgARQrBEUnj7b+8Gv77UqqyfBDj73qb63rP7zm0vPPve zHPhSHT2lBBgBH1suw7bg2xlQFoYO8g9Svjp25fzEh9Yftde4f ZT71veOO+OFvb25hCqkQPtZaXh5A+t0fHzqytpiQoopzL/vjqlZ858Kfn33FlSKOoNUK08okucwxhY4g/P470ucvzp+VEkhGzJirwSRUsj6x+Y1zZw4mQ/Yk1bss+cQIKCBdSNdKPHlxHsLu1EgDkAG81F+uPHcsIaRmt29f +YdOAYcDQReCroLQ26GS1B+me5C6pyik3+gnVtx7Avb4chT6oK qfd6p3+WgACJSwNYXd4QDr33rm10WElDXtQSac8PAyb31+DWAj 04VsgWptAp3AqkDB0wjTMOege/aMUU0VZDCZ8LWTf/nXTKQCAaqhOOCnIQaukJx/YdG93xkyeCwpmU52+f6TH8EF3KAN0TrwjdARFChgRwi5AgzkXw JbUFFDyobuQoqmX/ybZy0fLASUC+VyeDHCECqA1Fwoxj8vP5uMnibfWvbwqPonp8sX WQ9U9Z1AETSwGWzTFcftuVdDQ3Xp9IpRR82P8aHWSH8AthlIF+ KMBWSVymltASi0IdiYWXDfnoRU19ZUNUw/6+43VwJgLN52+4gdZV8VVCW/m7OAcyoF47RHKV9onQyttVafDmi4jpv0A+YAlTIfhjvQU5U0wt O9HcIXL15cWVl5ySWXACKmfqg1BUTQof12F8gwGUgJHSC78AcH 1JUTUlk96qyr/nL9X+but+9hqU6z3fNMABTc4kKvi9mq702o35uQ2qH7X3fHCzf dc8+0Aw9Mu3AEoJFJZ6DBmXIcBwClvF9bmB0DVf+763NbloSBO Of9c5mFENDIpv1IWADcIMdZfO6Bx8ys2bU96xcATXuzmOOYKXC N0HahEPiUCiGAOHFjaMiewmEqQSWNlR+ed+KMoYQQss8Pr3r6l odv323mJDMF6lEg5fubckBBa9U6+5zdCSkmw4ZPvuS6e+95dM7 0GQd2FzyP0kiBASGlphtAYwdClaedfwFV+cU3HD6inpDhI3cjU 09/3QJjJuD7HBQQssv3t8ReDI4AyPoW8M78+TeMqCmtJUOHDPn2lX d9pCmFUl8VVLmuCyCfzycJjglDc84TxZMgCgGEkSsoRRSdMnk0 GbTP0o0SgJ0zaeADMG1TgCZtmyjreXkCSgXApNwWVEF4UAGU8O 2CUE4q0zx1jwMvv+p6BpEPTSplFEEjCMOk4aP/T1B10aF7kSJCqhpOu/q2Gx9++Kj9jxNOUKBWBJq0BKbodM21p0zZeRdSVTTisNNufv6t l56cttPwVjMbAnaQBYLQpIEdMNCslRnwxEkFylwUcrTlgr3G7U 1IxbBjTvzl84/98fajZkzf4IadGrDhpJxuICNE1DL3uDFkSHVlSWn15df//a9PLxuzxyHtQQjBBWdtQJcQISAYt8xu6GigUKVUGMc2wCVUXik L8D9+biohpGzCkbMuarZg+1wyK/KzPlCIIuqkoNws0CmE72QRZq79ztd3Ki0tqZv64Fsb8oBFFVgW UXe77f1/CFWUmkAAATCY5ntX/mD/xoYGUjSmeuq3l/nwYOdym+HbCFnKMEyghfMU4KYc6XXBmbv13dv3GFpXVTyEjNxv 1i/+EgCBQM52tADC7PZAVTDn6hNqCKkaOeZoMunMd9LIxTFgIl4PN ENHURC5lCYbThx3Inzrnbd+XTe4gpQNbRpy2NV3vuFGgISWDpT LtBvpINDS10Ix/qVBFVxoRwcIfLRAtyKj2FtIv3zqmIa9SB2pP/Tknz60RWGd4KCt4O2Iu2AZLcBaoBlUw0D2NaRfWfPMn+oIIY2H k0GH/O2VTzJAR26LRoDeFJ+kl0Ii8yWlTHaZvhNFCPEFDdq+wEwvFID gIVQE6SDMQfu+ZeRdlwJdDs1FmgJ+EMnYhaaSedAiCt3kYKBMJ V6/vsTbJM0WSvZKPn41OlVSyqhfBkAURckxnMlkki+y2aTHPBKUQW 8aR6IK+PzzzxcXFz/44INJUCZCUu6XA8smfZVjQIYmWhcfPoSUk1JS0jR2vxMqd5q5/P32QhZdcDvhwABcgH8S5pceWEumE0LKxn3nstsGN+29cNEGV39 xAbraxhiofenr8ysxvQ1LdEOZNjRsCUPJ7Fm7HzmdjF3UmksB4 IBk0KHirgT4Z8PTSoP1BNQUBZQGDz2oQIWtmbZl44fX1lc2kEF TRu1z0vBxe82duyT0AxrF0OAaAYJu1opVHx5EyKCdykk5OeabF 44Yt9/CpSs7DDdx4PtC9TTSEkLIWNIwKRcSnkltA4pCUQqkLDvJpnYij wmqIbRin27iSWi4N/geQPpwITrA2y3ABiINMOCDR7/TSOoJqWjaaerF970HaGlraTsaBgVYCrn13WEYACEgoSAWznvlq trRlYQ0lZWd+MgjqVhHErTnzQUHIiFsIACimHoAolAIAUqhAS/wBVjAdpjC8raer9ZaqZ4DjPEQoEh/fPZ+Y0nTAYu2AMk8aQUZCx0K0D6ZmL6R7FR+zPsE9hOpVY3kl5 pQLrU9aDS3bDr+pON+dMl1WUuGiC3u5P1IAkAA7QER833opDwn JQvr0L1h30HlpKyK1A6fcsSsul33eeflN+GxnKRe0rozBNTq0F 0yZfShJWR0cUPTYd/8VuOkGS++uxqsE7SjBWgGkPOQDwqQ5sDf90AgUoB+XxReG1s9b vjQiaSybJdDD64Zts+ixZ0cBqNdCKFdhIClA6x9cdZ4UlpTSoq HnPStyweP2f+tVc3tVCZXFBPaAtykckO64LZnZpIejlEQaiCKh QDsgPbBx6f7v+JQsWAG4OY1sgLUzYEX/njleRPLCRl22JVPfCy8HFQ4fCKjAAAgAElEQVQQMmr7nky24iB CELUh3BDlAW5u3DyKkAmkes9vnpIC8kDBjhAotGUDCAdxcjhal tVD2/0qRv9tU4DSigW+nawRzUJoDhlB0wDIR5wCVMEKAp1cbiUDODRL Ii1cMg14Ucw1NFwaZEEBG07b6/vvSsrKK0nxuOOv/vvyCHkYgubgmii4hdBzgTYKE6BehFwzwmXrnr6OlBNSO5aQiS8 ubE9Bt8gYMeABKgAdOFQtf+KEwaS8lJCRY2ZeeOMGIM3g+4Bpw 9oCtETBSjNuExAs6SIWvTf/hWsHDa8lxUOLGg588Nm1PIakkMyB9H0EIbgP4YgQItS+6VCevF 95102eulHI9BYI8v5Q1eON+TeMKGVrZUtP+Z5u1qpFpxV7C5lX Di4ju5GyksFHXHDzq61JMprqguiAzPJc94K2tg1ABrDsLd7Wp5 B97bwDdh49aBAp3rtpwsnrckhrLRBksi0ADMMAkLSpSnT9u7q6 +qrVDMPQvSI929GDNukaqxV1rAwNc1CukWtNCN3nPAQ8wGOMCw VNlYx6+lqzsJAv9LC5UEHMBgpV/wWdqoSWPM9Lvojj+IknnigtLX3kkUccxwnDsK+JUp/1ZcJec801hJAnn3xyW1DlUAoZOKteP2JoUTkpbWiaSAbtdNEN9 1kGIJCC1yoKKquoQam/qnvrm4c3VexMyNidDyZl46686k9CIROEX5iBsmOg6r+wPr8S27 FQlaRO9IcqjzGZ9G1VAWhH19YlY4ZUVZDK2pEzSemEX910X6FA oWHmC0oqCWS8jI2s8facY2prSRWpHVxLKsZecsUdhs8pkECVx2 UCVZwn/l/hOHnPMSEiiEiJKNPdntwaHUrThkF10q5R0NgfMFS1vHFKLaknh FQO+8adb84NQ2gX8B0ND9C0C1FHALhSdhYKVLDYf+OqH+9OKsj 06YcNG/b9devAQDU4NATjWrMEqig1OXfDyHEcBxrNze1J7xzX97imcsdV g37ZUNVb1KiFlEJJqZWQkjMOYWe6N0PCLJjX/fLqM875Xns6YEDKSlNwBrhB4PtZaK+t7RMwBo04YkAKtI22rty nprS8pr562E6kfPDPf/8APAYOF+hynLzrQkHyjz9Z++T4xn1LyOjaUWNJWcVVt/6lzQNkN3hXG9ACIB+gEG4fVHlMMcB13vRTzx+028GE1O48dTdS XXHNjY8YJiQKWmURITaor1RBetj0+n6VSW+UwTUNu99w51Mfdd pWwv1CGFIYQlhSRlImQTpoKgWNYx8ajutK9Zn6t89DlZamUnaa cReA8JcveWP/UZWjCCkddeSjq5kK8p6TSZ4FkxJAaBTARBqyFYFS9K1/PDmSkEmldfe+MaddiIwQVMBN2whUPvLy3EsOR/TjqmjA2fQ9cQBGA4BbVg480or5jhFHTgyEgB1FVEEAGoqxMPR6 8Evw0HEsx7M14MdJ7brPwhw4EIDnFo6tJcUlZQ2D9/jeLS+vBwydA1x4FkIeQxmUGoAhZb47B1aICu9cfcLYmsaakvoJ Bx101ntrgyzQCSkDKSwBFYANWJcLHfOPqiUlRYQMajjt9ic+DI KsAOeAH0JmgRagRcCMRdydztOAhYW5V56/JyklU6YdOmjM0Su2gCc3PESKuyGirGe2GmkKZRkpRE4MMKDbMA QgtExlunsrm/8DqKLIU+SRB3LYirgFKaEWovDm8cNHTSXDG/b8xs/vfaVDIRtaQgagLrraEPtbgDagG4bCBvDFqQW31BBSXT2dFM385 V2LXB951/aRj2EDcN1kp+0JeaTT6eTffuedd2699daEDCil4Ref0dswBvhC pzqaoXxIAzTtptYvfPOVJ1+cfcrZFz722jtJ/hCVSgSF2MlCBY8/+uDcN1+NQp8LpYGIQfZuVUL3vlR9bXO2AVVftk5VFEX936433n jjhBNOSHJdZ8yYcfTRR8+ZMweAECJBLq11EmhIpvqcc84hhHR2 dmqEGmEEhBrgBliuAFmAjKEQB857cyYTUk2GkLLBk4867uOcmR Tkt6OtFS0iSPhreWrZY4MJGdVQT2p3Hn/ASZ984kkJlxUEom3D046Bqv/C+vxKbEdBlUZS28IhuRZgCjaEDVFIGsC7EWgBfPXW9c80NE4kx U2kdvTomUd5WRcCOkTsg8E2onYG7klfv/fmgYSQQUWkoXHvA4/pSvfUAVGFgMlI8p4Qt2KprlZoDkWhOFjctXnj8ncWzP7HE4d+Y 9bq1ra4VyrMdB0ndD+zAD4LVREQgkJkwTOhRgTEibN9zZvHjCC NhDQNH3XDs4u3AJHkduhbWtiQSLcj1docBNnEUyWizR/+o56QYXvvTMoa/nj7fB0j43VGcHuVUigQKO0APhBYtvHSSy89/tizxxxzyrvvrrCdUAMB8w17h1Xj/udQlSiqC8h/SiTuST0GpALnyWNOaJUpGXPfhKbtrWsuOP+7Rx52hlOA4bVI2F Khsyv2ZZtEVvAeoUgr78WAl5CFE5qrn5pSS0jpBFK206QDTmnP UegORJsLEt0hpGBQGaiP1n/4ACETSdk0Ut64y777b23rlACDiiECxB5C2IANF8L7N+Ml/SwATAEYr3cu/v3QqrGkoonUVE466oi2Fk9LBLAZAnAIiyaKXNn3nx1DSEPZRFI 0fK9vnP5Rzk2aSGcRp+EiMhEWmoFWANQB98A86tuaha5jLVi46 NkXXz3rhz9+8oVXPxWO1oCWUAySQYWALWA3B+jkQG7J+gd/TuqmlAzfZ8ph300JUIBLFkSu4JFnmUm6SCGbS2LgebMwZcrepK T2wYef0lAFKx/HIYDuzpyg6JPnvOqqq+bNmwegUCgkp+EXcVVvhLKfJaFMFnomQ HXsQkfZlo0r35234OXnTr/48jeXrdqcLpgxE0BEQ6kotMilO67/1TWeWwBUZ6pLA7GEHVAoF9zSGr6v4G/dZWRRJSGEVFx2z+wU0OpTAQE7C9fwlXa48GIeJ43FRdzy9iOTi ggZPYpUDb3n7tlGBg5cExZsIMsEQLdDYmP9S0cOJxWEVA0bc8u T76aBDoluF1pEkAbiZoRbAreTs1ArcIYNK16tJmTM5MmkePBNf 37OBRyTaiXy+S6AmkoGSZQGIkqtbl/59uy337v817+79NrfbGhpdxiVUBIinenUYD1DS60/LWr5d6wXqkzAQDNoG9LAe3Dn//SQw6aQYaR84u+eeHdzGMdQnp+HCBD7npFez9hmxjZ5LcCW9q1P XHZc48i6OkLGHXzI5Wu7EDMIwGTdvujJ9u8PTK7rRlH08MMPX3 LJJd3d3QCiKEp8nkm9zIAsVipUADiLTcfcunTRi7uNqi4npLKx YczUGUs+6SxomGEoAegIOtLSB/hdd94y6xsnFExbA0zCct2BQtWXrVOVOO0opUuXLp01a1ZSCHT8 8ccTQpL2Z9/97nf7f3Nyy3FdlzHGGCsvLy8pKdm8efMXQJWO/C0vPDqlqKicNIwYO/WxBe/mAeYz6tGtfEs72iAAC/BWrJlz92BCRtQNKq6b9OqKDilhmg5HGAvvvwRVX/L6/O/bjoIqlRR/Sa4FS6DK0tzS3NHQGsoOYicFsWbponurqseQ4qaGMdOeWrQKHD zivhFAgMHO+C0MvCPfGcydPY2Qorrihgk7PffqO0KDSunHsRez WCY3XUjFtErCBzwK7NB37vzdTQ3lpRWEDK2pPfF7Z2zOZH0hXM YZ4AQ+T9I5BgpV2ZXn7jNqdHU1KSq99aXli7NZAUSS5wUNgKhl I7KdFrDJtjd1dkoRXXr2/vWEkOGVRx3/7Uw7AjNkCAy/G0pKzoQItPYBP5PZ+utfX1FWXkQIKS6quuCCy3Tf/4kI5Xbk/A3w+e5YqBJCaK37oArgsWNk0u0XnP/d8845NXAQ+6DIc2VKhSiGL9scv1krtDW3QaF5c3vOdSmgmAq6j a0L792tmpDSCQ1D937q7bURYJmrwZo7vdAGAGUVPhFs2aaVDxM ykRRPrhsy/vm3F0ggpDQULFTMU6GHMNG796GCz53//6cFQIftg7639JkrykldbdN4Ul3x9NIlgoHF3Ai7E6iCJ5PC+A+ fvnOXqqqGsokjR+313AdrUwAiOFkno6M+qGrphSrNXKgImi99b 2HT4AZCihuGjhy98+Tmrty2oCoIUgJ2otgXtL517xkzSck4UjL u0pse7KAylFJDFawcID7NwRUyimzLyjz0yMOEVPzutnssN3HZK s6pZVlJBp9lZT744J3jjjvuo48+Qr8sjnQ6/QW98LYFVQDPpNo496Hpq688O65pUDUh1YTUjp20aM2mpDuXAMI 4SHzMvpNfueKDXXeZsHTp+xpIdXf7NDnGfOpntEYUAVHrSV+fW kFIaWnNL/72Zgr4JO8ICIgA1A10T+qkBoIgyHV3nHPIhD1ra0htzazv/mDThoBFMKVlw9GWVul4O6HKeP/7e40cVl9PSqruen7p6lzOACyOOLChC0FhDeJmwC3kM6mubq3wk/OOqyakpL7+yKO/szUPg1IohIEH0Hw+5QImpQ6lecs4+WtTGgkpqhtGSmpeXbCYAT aNhZbpXLeQ8X8EVSHiGAwh4OlARzE8hoxmXff/4pqRhNTVDPnxtb80gXZKQ6oQA15OOxkB4cSOy3Nc23/58831tYQUlR1w8AkfrOnOR6CAz5iAb7qdfSGqhL7z+TyAn/3sZ2eddRZ6fVeJbQdRAfAlPIHANaBMGBuQ/wQ0++HieaS47NwrfmMCeSAdKAmA29A+EAnqA3zO669OnbZ7dzr v+Hw7PFVftk6VEEIpFYbh/PnzCSEzZsx4+umnc7lcQkvV1dXDhw/P5XLJ9CYvYTK3juN0dHSUlJTU1tbatq3haXiRRqj6oCoqIDK5A 8Xn33XH/hVl1WTk1Tf9pRu6VQbJ5SuNQhqFGBCmhv3qew+eVTFqAike+cO f39PhgQGUueAW4H92w+9NiNxxUPVlr8/tWHI7xHYUVCVHMHgEHoEhkjBADVA7EbawKMxO4INn/3EhIRNJ9bQf/fpOE/DaNiNy4MM3kMO7IT52YwgfGx76zSElhDSMv/iOB3JBVLCD5PDubY0spKJC+FpHjpkGKDSFFlACEg/fe/+gkpo3ly4NgDxjidZiJKWE8n33U6LqC1kCuqe/DSBscAsyVEpFSa669P508y/qCRldQ84956xCKHMCFmDBkMpEEMOHYQQUCCHuffLPjZWkkpADD zly9ZZ0VqDVhYatYeYzaREnxa9B0gMOCILQuf3226urGl9++W0 pYZphTCWHcKP/j3Kqenr/gfWOnrTZvhxNaEALzWPFfagICJJxxVUXHvP1b2VTIRDx2AKDlw PQoXQzFKwCcwJfAitWuCeccPnmAncAeApGbtlLt44pIcU7HX7G L/6ajeAHDME6qOZWF3kNiEhZH8N9b+HLN5Q37k1KJ1547Z86Q0Cm 4G5eD6wHEGxBuFVHUAwCfDsgtZsir4H4o3f+eunopkZSUnf6rf dsAMAi+E5GKgdAmIHbJQAv5gsfvnt6DSHVu51546O0W4BicxQY 0PAtBBmKThddJmACUC6Em081B4UcNGc02rhpy/AxEw464ljWv8VZH1SpGCrOAx2IBTPA0+67zx9aR0jTwWTE4cvW bo2BdVnTAeLYBCLEIfccwNe0AIl5by8bPHL8T6++dmPHZgbBJV KdNhQAXjC2Au6iBUu+edJ3Nm7cSCnN5XJ9ccD/a2F9ClW9b5LQEGHkABw6BPPAXQRmx+rlU0Y0nn7JlYaGB2SjmA EcAuCC+jL2oflHy96fMGbsU089IwGq4IQCMggybT1ahiG/+dprx5STPUaQsy6+wAU2FdAeIFlmIVVcgdpphCYYHv/TQ0MaSkkZ2fXoM+ZtsR1ACICthdwI34PB7aR2cqCm1t134+lDi sjgkmHf/961Dke7RAYqjVwECzwA51F3HgwA//tjf6utqCshtVMPOnbpxlSGot03ARswXbcbGgaHB0QADS2YH8JY utPeRzRM2GtrLsh6Iu14AnAjD+C9zbfiHsEFrQcAVREoBU+aXA Q6ovAFclAZf8O6Y3bfvaJ00JCdd1m+desWz5MA9zioDe5SSSMV Cfivz3127Kia0iJy6GFHLnx3dQhYDBToyuUEfK7tPicKernq9t tvP/bYY7XWSap1Eg3UWg88lgwANhW+BEBduw1BG0Q607767deeHz12 wn1Pv9bmuu1BEAASMLMtUWgAUbqrlVIfUI89/sQ3Zp0aUji+vx2eqi9Vp8rzPMZYMidPPPFEUkwURdEtt9xCeu3 DDz/0fT9x8iVRv+TbWlpaCCGXXHIJgG1BlasDLdlrN92wMyGzjvz+i k35PNAFBg4IZcDpFNkY4AWF4M2XbzuRlNUcefT3V3eoDIXhOAA VkfFfgKove30OeMHtINtRUMW1VlInUKWpTqAqp2NLa84FHA4vA yy94+bjysomz/ja2cvbrSznKKSlbyJEZKKAJZ78MJIAx9zrz5tByIHHn77aRQwI 3X8JQ0rKeKh1wihU69hz8zQO4tDPpXPnn3HWhGHjlqxfn/V9v/eUsoJAQlEaDRSqHLMrs3nlkfvuO7SMVJSXdluhC2QoDeFmc5sR xAhhWZQCbyyaTypJfTk56pBDWtozRgAHMBQctwOwoVXse4VCdx gaXJhKuUAgZHzRRRdVlNd1d9taw3GoBmTChl/y891RUCWFhIZWXPXopVApXcNou+CCMw45dO9kD7KsbrvQlQT0K d3iB2s9x4OCGwZ3/eEPhOz8zjvd3RSWUvA1Av+ZP1w4jJADTrt6UZs2BSjTUM2cbuy KYAJOIQPdAr7ivltPJ2TC4Uedv7pD5P4fe+8dp1Vxvg8PvUuzi 2Lvxq5YYk2isRs10SRqjKKxR6OxxRJr1BijxsSusYBGglhAAQE FEZQOC9vL0+vpZc7U6/1j2CcblaUoxs/7+15/PeweZs8zc88919xVgtN2xG0rtF6hNcImxC1fh1RZgAfY+ekT7v v5gB7k6ONOnePLVYCIfES+A1hScjeNMG+80pMevWsrQo4/9Yr324SuwJCqCtCVVNnmOFcehAcdQ3HPrXJGn37mOdKjz9sfzA wY64ZUpZFEQTb2Wmc8ctP3CBmy/Ylk8EEffb6CAplE2UoBMaW2W8xDCd/PQ7qfffrZkMFb3/XAI7FGNbZjmdhuAAXXdj2vCngLFsw4cL9DX3lpvNHbJrsInWq8 Wq2uWbC+mlQlLGAs9NwCVAwZMLvw5jNPDCHk5SkzcoxnPS8fRg yIeKxUAnCVhK5TgRb1K+r22Wfft955x6dMAFoECKumliFnunXZ sjOPOHgEIcO33erjJUtsoCDg+wUhXJPdBRVamebx/xy/ae9Nttli0DE/POatxZkM4AOMKRkv4XQ5wgAuKkJYet1YSRc41pxKw8QTDz5oMB nWi4wuBUkFSDHqwM9Umw2pSgqWTvSMGR+QHmRQ3yFHH3ni0g4r E8AHbIggyAAOEJaKJR+oJEkMAIkofWo3TiGbbHfWxb8LOxURFS LicaGQ/lqkigIJIJGHSsP3EcAzHctRHP/UPVsRsm0P8uNrbsoCPIaWcP0cUAZrR+azfzz2BCGbkz473vDoh KXLFgBxe6bOSQqmnS0PLBk5AKSUNdFpaWkZPnz4yy+/bGxUhgSY6koATBj7eoECvoJvFRAX4DfBbYAs/vTUHw0YsUVdIaoAHRwpU0RJBaAWjUpAIkXMknjlqoZDDj3yxpv/6Abyq0hVBB2tiVRt7DpVZn6M29TzPK21seRNmTKFENK/f/9evXqNHTu268OGgTHGJkyYQAj5wx/+QCn9L1LFqkgqVURVRBQ8ca2Xr7thTL+BH7z5WTFEGSghRpyBK ntAPkoiwKcK0SsvXrst2faEf37qliWoQkmskGhD4sGx/pM+v3ZqtSH4FuTzf4JvjlSBa4CHYAEoEoE84jxiB6AhYEs4Wci pN1+31xZ7/+yRlxeVobMiQgQUBDxogQhWPmkLUeBR6omfnffDfiPumfhqE+A oSA3OpZRcqoTxiDFPyhCIgTiJqiaBCFpBoWFZw14773Xemb/0AB+oSuEIQf8jCp25abUjYfWeQgJQDcjEJOVAegFgcvpcjbmTn t1xCNmmL7n+l2c2+UhzABkg75ZDFgAUz9z3FBlJeo4edOGlFxT TeUO+G6Dq4ADV2Glhkc8iczsNAA9wg6jYkWoZPXr0T88532TNK QUNJFK44TdWYuObI1XGdUM7+9KszimWCYVWEIlmARBDOPNnv/fAH3/Xe2Df/ptsQnoQQnr3IsNG9B3Vj5ChfcngnqQ/IUMGmZjuoX367zVk2PcbsqgAaQGgHbzlj5ede/ioXR9+a247EAGcRQh8mU6VjKXHccCySD6+/8qDyA5nPji1BBqDxmUpq1pXoKrgYDEYRSKQrHafrC8KQApA00u v/GIHssP3n/ykIxFlDTelkFIAyyJOBSqipoaO5Pdff+W+22z6zPupDBABccgg wF1b6ApHO+J6RKuagGYAPIKIIUIVWoFdBtSvLrp4lz2/l7OjaiTNEfrf7r8IMvocWAqgPBGt//z5T8cO6L81IcMI2fSksbfO7Yic1Q3FhTSdramPqOPfj99ORh/574Wloi+ABKoMv70ElICCS6FitMz87an7Hn/WxT4QRZGxO8Rx7DiObdvd+f6wRlKldAwZQYWIHagQIrz8p6ePH tyn3o7zCr4p1gX4NKCJD81MLrxbLUHjyiuvPub4E4vViGvAqYD HBaBFKKqBBLNeuPHY7ckWw8mVN960KI8S4MDh8AVAHY4o994Lf 92SDNuh71YHn3/24tjygQ4LRaAEH9YcFGeCliSQlsivtzgAWiGIFr775A79yWZ9y FWX/3qVh5REHqgAnrcEYT1U+zMPXN6n17ARQ/Yae9G9uRRcmLg+YaMEZKJ4VcIqSqOUwFZIALfQAbHok9duIkN2 fvGtT4sRXAab6ohrCQWsbmnVWS6Yab267MK6vDKJtTaHlpYp7X na167WttaVSh1UsWPevIO32pLssOcJv/71vDkLocGEDZT/Pf6RMw/eZpP+A3/2s6vrGuOVLriIKLU1gkBWbKUyvo/Eh06Mf4pSavjTFVdccdxxxxUKBXSSAKVUZ7gl1iJPXwWHUk9q6 ARxASKj7FW59OJtNx1y7kWXusDyfL4COIAXRYI5YA6UJ2WUUB9 aen742OP/GDV695UNqfUlVd9CnSqz2cycaK1rRSgGDBjQq5epukyCIKjFqy mlTH+x5557jhAyceJErfWaSJXPo6BSvP2U05+/6lr4CIGOKGpyC9xrgyqHQJlJQ6qiytO3n0rG3j1hJUc2ZlU/pEh54QqIUFRKG5tUbWz53LC3+vrYSKSKcm1IlQfEgRblhJXaaP j2dVfsfMw5d5WBvOA24OZd2ECIyI8DVXFRZKhCle7+0YnjL7+h CaJRaw+wHNfsS0AozYyNinPP90tADHDPrYSBD4WXn325N+k9Z/qnxTg2VdErlBrJqLru6oNgfUiVw5gPoLyy8ZP3Tx1zwAhCTrnk unnt2SRpAfKQePvN948Zc8xOm+xw3DnHTVzwPkMCAepSUCwK/WWyClSR5GjgmsY+jpPxvAzg2W5m0tsTevToMX3abCFUkrAgiJT WXhR+Y3aqjU+qIExnQ6YSX6mwrWnx766+sC8h/YYMID179uzVc5NNRvQiw0b227Z/jx79CBlAyKBevfr3JaQX2WyznQnZ/sprnm2vIMdYgxcB7Umw8rc/PeH2Cy9PAU2ch1qXSzlEIWhsA6kgAGNOqc4uTLr1wt0vfeD9ZU BQKYfVig9UtXYAFxqSQTAwiQSJ0lSu965fZdsZAMWJDx8/4NIHXlkBCG0BXhZIKcg4hTjFIBJw36tyGl3z87Puvuay5Q7ygJ 0kVsWFAHMsiSpHuwzqhLd8lRCNSoFHkJRFtgmrWr586aDBm4y9 4ppMNUg67RJfJlWLgYVChO2vuIsf32aLXQkZttVWe7z55qytDz 7pL2/MLHOeAHm7bGqLvPD3xw7Ze4tXH7whA9QFpuhZYlcbkeQ64rjdK HwVr5j0+C49yawl7RnXxZfiXoIgWMdA9a6kCkhY7ACxDKq+W2i oW7TLiEHX/OJsC+igzJHSThJTNcAk/Smj/bQI/GD+/M8J6fPyuLe8KAaLwONVtp0DqEY5U0a0sGX6swfuM4r06vPz3/15Zl2dCzdRru37096ZccpxB4zqS87/4TnL3/+8A1ilI4tzWyCVJFVE8ObJ3HQkZQl0cLUBpIolFGEMa0nDrPdP OPSAwQN6/viS6z9NZZvDsAIAqfcnPPr9I7bdZQQ5+cc/nT2j2cRBFOLYBdK+XWQZIMN4E+DThPlAKeEJwNySU5lx83l7jR h9yPI08zQoYFMtAMu149j7WqSqm98Z61EQBJMnTz733HNHjBhh DvLtt9/+wgsvfOWVV5qamthaC//LAIjzDA7APnzpmF5kzHV/nquRRABECdUCylChCp28WzC+7XQ5gkyBt6MK+IjopxRLsy48BT 9cBDSbir0U5QjFMncjCFOjViUIHbz20s1bjCB/fXN+CdClVag2SoFiiCJoBVwmDBocXCCEU79k6j8Hbnnwzfe/AskRBRnICpCEzUBR0w2pVfkt4M477xw+fHjPnj179eo1adIkAN Vq1RirTPOTe++9lxDy0UcfdT9OpVK55JJLkiSpGQjNihuzolLK 7O1sNnvppZc6jhNFUS0GrlZoNETZQS5kPrgG7TQyMAghJESCJO flIvCS7QsNKSBXP8GNM4j6CST8StCFiWkFrkA5It5t25BvRD4j rSggdLtGOh0br3+ooyxYXjstkYYVQxUXQLYXBQrfSv/lrtEVjuOcfPLJgwcPbm1tNdcSAIyxmr9gTahVJwmCQEo5duzYU qmkuzW/f7U8CApBTYxFAph2NNCurK6AyjZLtCjAmnvHqbuQ7QpWkQwAAC AASURBVA5f4gEyC5FBDK1gSytCWAgQGragARSAPJjpX2Lo0xrB OY/jmDHmed6MGTPOP//8wYMHDxgwgBAycuTICy64YOLEia2trUH3FVyjViQdbTrIA74Gt 4DcS3/6cW+y8zFLGRhzomrO9B9pAduQm/T6o1ZNxqTrWpZ1/PHHb7vtth9++CG6pNYLIbopWWSeMVu1VCpddtllZG0YNmyYSXP p2bPntttua9wFxtMUhmGSJFdddVUqlaoN+5WIomjs2LHZbBadc Z/dCxXA48jNQpUBFNLIdTTSqGwqvFAgW0Fr9lNgBjQo4Gozmuu6V 111leu6ZnH9NZfJ/NWvftXS0oJOOcfaShJUQrgMCO6vf/MosvWld7weQjYgXFqgoQfYwLI8gx8i4a2edIEqYIEj/179s5f3I4QM/d6g0+57O8TbE58dPZxs2oOMHkzI0J3IwO3+dOsDH70zy1jQVgI rAFh5uKW4897pVjOIZ8L9YJuj7iY7XdZR7aAIQ6ol4KqAgtsxm IZEOhEtSQhIaDgSllaII2jqQdEVQCsg/XpqLS8BOQCF5YhTEFEMZIEWChQnNz7xK9L/0L995CBpBm9FKESEehcFIEYSIvaBfIxYUCTt6Bh38WFk6OHXLe vCGbqurBDCcZxp06adf/75ptVSr169hgwZcskll7zzzjt1dXVGULXW5lbfzfznZNqHg3KC PCsmSQDESaCRCDhFrwUWEGCxzQqA9F1IjvXWAy7gajCB1ceR0V 0hEEgBcHAfTgFe1V204MChw8+47OoSgISBi7KLkMOx2gCvA+gA 4JUQVJAAanU55W5FfTW6I1U13V07X78MIUQYhkY7rAExpXZZwQ U+eeDKwwn5+RMTPwO0AGORi8BFEAVlqMTlnhNFLqUJ0NE6+0/3/KYv6UsImT7jzxPeu48M3GritA+BZqCV+4pH3Io67CTlICoFTlC sR1LwrdCryt9d86Nhg8j7y53n3333wpMO3bofGTF8szcmf7Sym rU7ozqCJGDKB0tVVs4YuOXBBxxzvmdXkcQZyIIQgrYBRRmp7ya peuedd4ylauDAgVdeeaVRi1prSmkmkwHQu3dvQkh9ff1ahzLKU UpZM3dxzmurWS6XjXr1fT+O464HuVLK7LpAlzwUEhVDmWhgqEA pqpRSEsIKrQqtrGxvuuyq3xJCdtxhl6bW5eedd/phhx3U2toMDc0QeiEkNoBUfSPyWfRcBgRxPZC1gVWFgpSeX2p4 6vE7hxBCCHl+3Fsfjn+oJyHvzP0s8630CjRfyrKsUqkEIJfLKa WCIKjZcaWUNfvlmgYxv6qdyibNdq2W4C/Lw5pIFWSGRi0dQAMT6aWvHzmIbHnIT+pijH/1z5sMJP1Iv2OOPnZFajlFnPOUoQnrS6rQxUALQAhh2F4t1hCdo QXdfS+WAk9nwbJKVWjipMOg8W9nb0a2Pfb8OVV/0qRxe+24DSHk5KNOnp1rr9ugXJn1gjn4a1Zns0DFoolDA+fczD znvPtYCOMBiKKoRrVrOStfCSNUNb7eNWqnNnvZbNa8WPfnoiFe NaLTPYmh1GdJUAbmNjXpfAqh08KTa++9lxDSk/Sc8/pb9ZM/JEOG3PvpXBUp0P/86XQ6vS7j1zRA7X2+XL2vK6oRih5l1l33nkvIgHNeXohli//1g8M2IwP7kX79xn/wQZoCCZcRzXNUhahoXdUMhckPnrpNP0JI753OeOLzjwCgGhfro STCoiVRjQEGVkn+i1TZhRqpYkrx2PJLb6/45M9kmwu3OvKujJOhCCUQM1ZJ7FDSQMCLqRusArI8hmRy/OtP7bzbZoSQG2+4Y9nnn4zedovrX3jh02IRyEKlM4xltYbdqMJ 26MSK4zKQBSp1/3zy9FFb73jmP+b48z9+9dyzDulPeo/eaqc3P1nRTmk1sgMdOVKWOahMoLLIT7jx5BFktwte+Gxhbf67k qqu+WS1IJP29nYjBkZ+hBBRFK21grcLqxBmUeU6l4TA06+9tuf euxFCLhp7Tlth+VAy9I7r7ygA7y1cCEbLhZz5X+ujB76aVPlKx dBSUugYXglJUPf2WzsQ8vtHnlheLN54zbWEkB79Nv/D3Q/kMnVhmE8ZN7RfNqRKS/3NkKquSJIkDENT19v01qCUcs7Xdk2BBmwnZMiHSF1z7Im7kkF/nzalHSgBFoepKx7GKcCiEYeGDTz37hu79h0w4/mXmA8wXHvx9088cnOy9a6fhwBLUC6VHYQMMVoZOhIgUBqMQnoI liJctv/hv9h89DG3PnDHouULIdHRlL36qp/tvtuIR8ZNa40hAWilWU4lWcCPfGvPnfYc2HP4vBWZEPB02RfFQ FsSsfS/i6TKqF1TVWHQoEF9+/atlVavHYSEkKFDh6Jb5ZgkidFH5rTmnEspjT6qbaEwDC3L+srz u+bL8BEECCWMM0IhEoiUofZKIuT8vocfHnPkETNnzrRKRZnQ40 88eeimW4y9/CpolCsOjTgEJBWdmeISWnY2tuRinYsxbrB8SoROVGCxoqHIeGm KeN7nS4YMHvHE4/+ABMKVj9198ZEnXT1km6NWpTLfoHtoTTDthtDpFseXzAY1RoUu 5qgvIwxDYxHRWpsDu6sO+jLWKA+KQ3HaGdwmoBUYdISkGBTqGU CB5TMm7DqcXHDd3fc//S9eTSknW79i/u577tJv+DbLmnNRZzqDgoaWEALKhw5My5o1oVKpdG23UPumpiB LzS67VosdWAQaWEAJUqsKqqnqrGk7EHLq9Xff+uJbyxvqwGN35 eIf7rlTrz2O+dxdy2BfH7ozeNR8o1wuV2NRxsxsvppZtW7srLV fOY4ThqFpwFAjWGuC4zjmBTzPk1KawymKolpZZiFE91NqMv+FE NlsVilFKe1K97/i+0IUy7kQPIJAXF485V9k0N7/GD9fwIay7rz4nKN23JTsfsXUNIA8eIfW2vd9Mzmu63LO1/qlhBDlctmQKnO0d/OwBsKIwfrwomOH9T/g3Ev/OmXp+5PALESZ31x/Hhly8COTGpCUEGSLkfIBCgZU2KoPDhhKBvQfQgbu+sqyqA7gNA 9UgaKO202Up/KgfWlIVQNQD8Apwa/W0jqgOfJvT/3bhaTv8T++fJydOAlYAngcnLumBVcUhKEOGJKSyw847PjLr/ilVWoFY1PfmXbqKT8hvQb88d8TFzEOnUXYVEjgA+A+YhtInMAv xqzCJPLzT9+1/7ADzr3jpU/f+2Qq4CRLP73v/LPI5gfc/drHJaAiOCiH5CwJgAD2rIeuOZpsevyVD0+rbTSj3s1no0mMMqm poy/Ms/Fr1z6vaf4ddxmQUiGqGfz45O9ffMXP7SAWwJzJz55+7G79B+7/1PNzqioIIVSsIDdAD0RApLUUenWuTGfAuZIQTNjQIagNljx840 1DCbnlwfsffvZZqxyA45m/PL75wE2uvPMuC/DAqGLaKDjKkYgA3XcQ+Q/WSKriOO4sgrIWGOvcmn6rtA4jzpDP2EuP2GSz3XsOmbh8cRpIJ 0kIJIkXx0XAct02Q6r++c47g3bcsuXDWfCjas7PtmXrF7y25WB y/k33tAF+tSLyORMCmaDdTxqtMLQTBskrxda4PG/F/NdI/z2OPenKfFCuuOXIjyAw++MJvXqSX9/2aFMghdZScKCqWS5JKpz6Pzzqh/3IJi++Od1XKoLtiyKFJxFzV3wHSRUA4+Az5qjBgwd/8MEHAMIwNHp2wYIFm2222SGHHIIutU++Er7vU0prFMrIrkkaMI Zc83PG2BcsPV33m48gQmxIleICsVxt7FaIQnrpVVdtt/POTW2tWmto5VYrN/3hzv5Dhr34yjiWsNVxNgrlXGl9SdU3JZ9MegJBHHAo+PBenfAK IX0WL1oRhSyXzoE1zXnvSUJ2uvymZ2LAXpt+//owi1ijVgB83zcmK3SeeV1NVmsdCp2OpLUeTl8pD2siVZoWoKyK 51lRNOnZh4YTcvkfHmmoyLjYCmZDuA/9+QEyYOT0uUs6yuVyHK8vqfoyvkyhjByu5RxlkY59CyhDAQ78w oQ7b91r4MCxDz0zt8wZRBI4sAt/uvpSMnLP+ydMX48X2iAYgmvoAjoNzFEU1ZaYMVbbtt2QKs55ki TrIv8GX1AFZmSttXkNSqnruua87N7YYKTIMBhzb+n+75qIn3Lk lgJn5uQ3RhAycWpTPoaG17Dq09Tc93cdSI64+LVGoK1tLlQGnY JnOnCYQ7SbeQjDsPYORhiEEN3sd5okjhvWzX5sFCG7nH7jmysF Eo96OWo1L6qfSfp+7+L7JzI/A2mZbhyBiIDq1L/fvHMPMnSTkYcdf+HcACsBTvNSlixrFUTWlrLEmJ8PwWFIVSPQA MAt10hVJAQ0R3ny41eP6TPoxCsfnh/qKJKxOfVN8gdnnNGEIZnz2ewd9zjwhtvuU9rV3I5dN99eGHPo9 w84+IjlGm1AHDVzZ6Wl4SolqQMRVCpZ2RkElJr/r+0JOeinf5iwOKwIF3DQstz+9EMybO/TrnukI459QMcMSgS+BQRwP57w14vIsKN/OPZvNbtvVyVvPpifxHHs+765r2qtu5IbA3M3WLNEZOO4ARTbbr rfRRefIxFEXFVdNyosGrPnsNE7nNiWgaXDtlIu8ZI4+Ip1XJse +GpSlUBLCKk9lthQoVMqHrnr7gftsssr705yAShYRSsqWYftsz 8ZNnx5NhtAMAiI1aRKxcxTylu3mO+1WKpMqSSToWBUc5IkSZIY z0v3Ot0gEial9/Pmple3J7vvRPaav2RGGVabRhqAE8PJaeQL9hJwtWj6CrLFYX98 4SOZmYtwVYCWEKnWmW2jyQG3v7N8LodsXQC/NUCrjQZBTWkeMEAClLZCzxn/yE/I8NOfmmSDh0h8K5ER8Pmsx3fdhux53KVlgGrEUQCZBu9whbISf tmpp2zft891j76ZAoAMVFsAGQLSSb65rhXfGIwxad68eYQQw6t uuukm3/fNuVKtVt9+++2+ffveeOONaz1E0aniGWNSSvO55nT4gr/PoOb1+88IGrFpvqZC8DJkFTqA5GD4xxP/3HTE9h1tVShUc61I0kjSf3jg6WHb7NOS9wMOn6EtnfOpt7p0oa 4VW5O1xond4+vLZyxCCQ7HYYXC0rZlm+642atvvssAqsAApMeL xU+QUedfMb5I7Vboje4eMnMex7HhVTW6IDthlqD2uZuhjAGj5s Bdl7/+ZXkwXRpMlHRn2rlW4FxEQADarnKLNt1zzJ7HnFZxQwgBIbRXg so+8Mh1hIx66LGJgUmPQqwRwURNIg1ktEI3pEopZQylruvWztS aCe0LBpXuLCUKnMGHdlEAn4bUP4/a9ZIx+10+bVW6DORtD6GD0vTX7zyzxz4XXP7kp+syS18HXc97E 5P0n1ftPMbWRW4BRFFkJoFzHgSBkfw1PWzm0OwL02g1iqJ8Pt/1vmQipruP5QJQK+NSI2rdWEwzRduNBFCXa31rhyEnPfGn2Qngq pKOZgILl0zze5G9pi2y2iOYhK0aU+zq/VwX6e3qIerm+ai0BDr70K1PDu05anJrSxO4k60i4oiXrJz6ONn pFwOPvcUuLtZJG0y5H7cePHXmqT/oO2goGbjNX195zzGtuYMCEEokDHASJABicC8Gl2Ci3ZQb9V2EP gVLoGMuVMhQ+fCqU7YlI46//s8zAkl9ERcYPABeBbIMvx4y1WTpH/zsN4effnYFGpzHxXYoJyo1b/+9E/c/5aIM0A6JuA06DxXGYVSNQYEgdKBDcBtJ9f577ugzeNO//2uODRQUPAikPg7feZxse8y2P75qpUJecjgdYOVq5DMA8eLpr99 FBh2034+v78qQuur5ryTQXcMZu1qzuluncAXoqm2PunKvU24B8 r6/KnJDKCBff8JuW55x44vLYsSiGcgGZQW+3npAQArI1Td001jG9H 3XJn8mCLwswD+b+0kv0ue239/OwC1qCwASUf2isw7ei2y395SmIlABKpEyDtoAkV8B1rFU9BpJl VGsX/jhl/0pa70qhVwzINGfrVj+3M69996l5z5zF04rw8oDdZ6HSIJaQdgc qzaViPNOuPCQU69dZgPBSojWtL2gtfj51GembUf2n1zGEgBOK5 JM2l5YVas0BwQSrfPVasxYHLcUCxNOPZCM2ufKFRUUM62QsWGp n896fGR/MuaMGxosKwFcx6JhE3gHBRwurzzzjC0JueJPr64mVUj5WnhSwh d6A3KCNzK01saG36dPH+MBJITU+FOSJOPHjyeEjBs3rvsbpzmt jZhKKR3H4Zx3vc52pSnoDEI0vQW7LrrJsOdKSO5BVKBtrXzJ6N LPl47acte//+3lOAQUZGRBF6EKPzrz4u+f+HMKhALVgEkgZIHrVteXVH1T8in BvdBBFIGxY0479sBjD2rJVALGrCBigGx/dcW4K0fu+9vHlwCyEvip7kf7+qjNds0DEsexuT52/S6c8+6dm77vm2XtarTvJtxkTfKwJlIFcMfJFNrnWStnbHvgsTc 98mzFDaEUhAB1HKvugUeu22STPV9+41NHCDv215dUfRmcc9Mlt/YTI6Ldk0utQGPpKumjJOn7dVN+P5Ic9sCdHxSAZtcNJSBiJJ+/cddPSP/Dnvz4Gyv+2Q1qCR+2bVuWZRzWYRjWfFg1dMOujFSYzzUxWGtEi wke6HoOcc4tyzLrXjs4u4/9N/atKIoMCav996+ECZW0rNknHD38mL0vt9JoTqcTeJBzgYX/fmrp4AEHfbjEaXQY4FhWq+FSxpVvXIHdx0gBcF3XdV2jqdYeE6 Yy9as+PGTXYw/c9Zh5jp0BIODmKxB1dR88RjY/7eCrXgXyLGhcPQlJeym7YPtRI0nv/kO32rOhIn0gEMIUwKQ8iKVsTJciKSEgfFojVe0AAg9RYEiVBLg Xo/LhBUcN7THyB1fcOznSjEKUJTyAljKSFRA1iaT1wef+3Wvz3aYu XuEApWwWXhHKaV8xd9h2Y+57aXIzpa2Kg6e1yinhKyEDBTdJAF Epd1A/b+Wbjhhz4NE/Oq3JRonzgkLWt/269+jkJ8mmh+73yzvrAQvg5WZFix6nDIBYMWvCvaT3PjsdOfYL 2Ui1FTcfzH01CALf983qdJ1aKWUtXX1NsNIfv/b8H8gmR0ypRxS1+P4qKCRxEjYv/N4m5NKHJzco2MEKITrA4ZS/Iha2ez2wJlKlpKuUDwShnwP4n+69Z9iQEYvmL6EqoUj8OIYEyh 0/O2zfgbsfMrW1slFIlZlTY5qOoqi2bSilXWdNKcUY6+6GpMAUEj Qub5y0f98ddiNbTKtbUIG0gVYfiBmYy8I2oDxt/Js7DNr+gTenZwFwXWpfEWClQOvFP3/w2DGXzSl7S2hswmWpbAGyUYA4AAWsGAIZIL/4/dd2GtTjuj/9xQYUhYwRsPaAtb/x0qPD+5EJc1ZWTa/1wEfUDpqS4D4Nxp5z7iDS8+6//csCFMoalRB+CAbTXOo7CSHEDTfcMHTo0B49ehBCpk6dyhgzHoR rr722d+/eM2bMWJewwa7XO3T6ED3P8zzvy3vDGEi+sPqRAgUENJRtDkuID LULN11329Yj9ggr8IqIKx5k4KVmBJlZux1y1m/vfK7CYepwxtCRDDVijUAj0KvzV7VWUArdW1u/EfmkQCCA3NuLX7qKbHP8n15dKCGYTiJIh8ewVzx+4Q/IKb/9twCYDf5t1LUylzCjsNYUqdA1vOAr0dUjVrOIrD0C8kvyYBrNQ gaQQRcnoGl5ESNeOOH2s8igA5/4pArpIbEqbQ1QcRBmzzv/lFE7HdLYEcRAAqVXF/Qxw1mAbXqtdANjUKGUhmEYBMFXepq+YOz5MmKNaogYFEih+vZL 1x9Khp76wXxYQNp3GBBkU2id/MBZe5GdT5238StsCCE8z+vGFGTqFa1jI1SllOu6XW3SYg2oxcz VHqvtlK50ZB1hbKjmv3cfSO7o1nxU1/rO3P167jFxSnOkwJBy3MVgbbDrr7r2maOOvaqtmUNhdWkhAJ3S a6wU6+7iBOD7vjnv1/gEX1z/0d9GjvzFNbfNKkG1wi5WsmAxmme3/OsxMvLIK95qYPAAT3M7TjcjWP7BY78lI3cnA7Y7+9q7HABhFlE O4I5gBQ4PUJKvrvusAUHBY1OVCjEDpRy+QLC6lI4z75KTdyLD9 rvu3ldNK1/LPGlV4Lcg+jRse2vXoy456qd/6IBqEi6oYqn2pLBo3pTneu/4o+ent5cACxQsA6/DWJtKQAuFRym3O8Bb6z98kYzc+2e3PG5FiHTn+Nl5LS/eTTY76KlZbTZQjStw84irpoU52Lw5r/2O9D/oeyffZGIxa6ts7nJG86OLVqk9YyhOVx21Fjtrx9yzdx9y5NVPz Y1hI6nYjWhbBJqfM+7NA0Yf8OSs+pUAQwroCHLSVMdeLz1gLn7 CtLpa3SmFQgZgRWgLsiKVU7QK+405/IgfnlkOYTFLI/GtABRW3ZJNCTn6FxdWAIVAIeASTAAJB2Wr13QdsEZSVYtyNf80 VoquDxj9u1ZLtQAsLxBoaUp9cGD/nXYkIz5uXm5BZ6OoCsSWG7sFoKx16fyTTttz0z2WBKj3fbfiQH m+rlu8fNJWw44+/+x72oEWADGoS0PWCGTzWRcSVhT5AkylpMw8ftvlmxLy1qcLG0o lcBTTFY1yJFLnnHLEKccdscpCnjGqFKSAKnC/RYJX3OplP/v58L79/zbuQxdgIq9RCbQXgYNDhRtYXWnjoeYYWrJkCSGkZ8+e/fr1+81vfoPOw/jYY4/t06dPKpVaa9sfrbXhIiaD4wvXU6117VJbOwO+4K0QQhhSJQHAB TJAhsdtVrZ15JAtrr3sjqi6uvRO5Jegm559+DIyeI+/vzbbkiiHIQVclgjwqpVdX1L1TclnyfNiDTjTH/rl7j1G/aAlQbFSEODVOEiAz6e+cMKmZPSVj04FnFIb5EaPqTIHCTqtSkm S1NbFhNGYJTDuv+6HMhHEZpy13iCxBnlYE6liSmkg2/z2Dzcnh/3gqvkMzQ2LID3ION3RWN8wf/OtB9z6x79RDZvSDSBVhg13DZut6U0Tcd/N0ncFBaohGLjWHV7bK2MPJQO3+tlnjchEUQjYYQiRZGc/c9RAct8by+fGG32/1yhILRiIUmrev2swigk872acWkiW+adhOd0XEKGUdp1SM4IxTh tff81M1c18Gr9wzXrkeV73fvYE+QT5q48755D++zZ0IGc5VLUL 2SSipvSyaUOGHXHuL+4PPQgmOC/Hcf4LXiQzCSZ3dU3zYOS2pqO6J2GSLnjpwfN79jzppX97rYFXA tfg1LORX3TNkTsdd84dnwBVPxvHRSCAX6m0z/zlwZuSwTsMGLHbe0s6HEC4HVCWEDEFygqFKDJJy4LJ1aRK0C+T KhpTCMCdf8MvDiQD97zhgfGBEB6lZSnTSYI45FZ9XJ1RN/NR0muP1z/K54GVcSWoeEhiRM3nn3IA2er7SyxkOc8nLkQOvKSsNqfUlKI0o xFLCeV41SUPXfuTQdsd+sJHjT5HAuQoLWrN22fffMR2+/7g4oUB2hyHIUFiI666QDFJRDRn5kvXDBp59AmX/PXLpKrGqIy0mM+1PBh0kp7ata17PfPek7fu34fcOG7ZUiATWoC FKNte/+mlPz5tp2E7zbGwQik7XEVpAyhEKNZXD6yRVPEStJVEWSBYXr+ M9Ox92XW3V2MkSKpWHhLgGP+XBzfr0WOVHzdUq1L7UvtdSVUZW LdGQuuc/bfBkIpGsesDBR7f/eMxYwi57Y2PmoDEQ2CHGiEVFkIXVumIPfY47IDD60PkgCLnESu L0seXnbMP6XfQS9OLGvCDJNSggCovhGr3HVAgz1ABE5VmyOoF5/52q5F7Oc4KIFvWaPUAkauf+9bAHpt+NGe5D1VSoZaqVChqJBoe 7CZtNe4/5iek7/ZNKxvtklUCL4ErkQcqEFDrdF38VtFVZAkhffr06dmzJyHE1FMF 0LNnz969exsJW+s5+vURMjANyhLAg2wF0kBx5vtvbb3F9nfc8m hoAxxgGkHZbvlg9BAyYMuDm0rwAU+hFPIEsCNrwyxV3wg6XDgA Vj32623JVif/6TOByMsDoUZcsTOXnnT01oQ8+PHS+QB0LKONHlP1XcNqUqV8KP 8/pEojUXA8F+3vHzmY7HPhvcsA+DlIB0kJcK654uaDDjrGEZ4r/QTwY6PjBHQZqgQGJcHB1j27c4PhAD7gyDREDkvnHtyLnPG7B+o 5OlsB8DjT+vTYy36y3fbLNOo29tv8v4cAWQcdp2y+z+X7/aLVRZ6BoV0kK+O22b+/4Eek9x6vvlOP0CRWVbnc+JXC/M9vvvBQMuTk2XWwgBSrCmTBO3LvvbU36ffIwpWfADYg/EB5GchU/cTHj92SkP67HDP27g6FapIgbkbcnBi5Mg1wuAfhm0acpmR0AJO XB3ApUBIorXZ8s8aPJ/6l95BRp597mYkGLhj6FQXwmhHPe/a+n5Lhh741zyoBKVBUfZlNv/XCvaMGkf1P/10eyAudgEvpQzrILIHd1AHUx0gAcAfhkutO37PnXid8VEKUQAI hZMrLp+fO2oKQqUtaUxRAnodNVCAC8kJXAXjvvPi7g8g2J//6/ikbe/pfv/vq7QmZ0hyngFagQ0uUpk2/76dDe37v5LNutoF6L+/Bi+DAlrDXO9/aNLkSWJ0CBSHBKbivozy0I3kFCMe99a++w0c+/OzrJszKlx54UKlfeuhB37/91nsUHK6qWSADIPAQhyZg3QWsr1/88xsC9/yqDxQFnfbH3+5FyM3jZnxm2xBgIefCDWgpLOVkOT+UkDN+fGZD hHbGMlGkEUx45vobfn34/mPGvrtY2I4TUxkBHmOGVLmWcij1gCo4ZDXdvqQ32fzyi2+LokZ KW6pASWHpwil7b9174msfFMqsqZDzoSQX0KhUczQpw28T5VWEb HXsCRfZ2guwqwAAFapJREFUJUvE3AbKEDVSpb977j/D3M2d8qabbtpiiy0IISNGjJgyZYrWeunSpcZ89YUAqY0HJ+RMI 04o4EG1MdYiZW7GlIk9SL8n/zoODCxkYLpu/qwPxt19/P47X/TbRzI+movFasJNTUgntpWO/lekygPycVycdetFo8iAI26ebnlQvuNko9h6+rnH7rv8gkNGjZo R4d1ymTPvuygQGxlrIlUC0MD81+/ag5CX69gcz4N0PDsF7Ywb9/fNho8WAqWoUghKThyv7vr8vyBVZc59oExbIXKfPfPo9wj581tz GiUsoKG9XUJMf/3lQ3r2Ria3TGPxWksZ/x/WE77OLGyZcTDZ/Fe7/aSxKto8WvGWAe3zJ/3tip8cvvnWR6/KonlpMzg4LzCxRovUN4WWJeN324T86uo3ixwL29oK8AWyjXXTD h/Q+5OnXlwOfCylB0AqhPlqafHxW5PdCNlhjx/95d2lGVP6qLKUe6vWl1QlfgKGyFnSPP/1XoO32eeQHzKgYFklIEVpVCkhaI2qM+68/HDSd+8ZK0VduZxGgqrvNdY/dMuFOwzr89SUps8zmQpQDWzOXRoW4LYgaP+sWMwCPmPQQduKif sMImff/nQzIIGQ0nLkN1c6Dtx82HvPP59OYAOMdYC1C8BOkkwiXMDPvnb 7mSMG7Hz2+AUbPd39lrOO2n/48Fc/y36STqeBDi3thjcm33nG0J7fe2HcgoWtrSUkhahQjfPoTIxcL6 yJVEE7rtMB7QRB8eSzT991/wOXpx1bCE/KCGFgF+644uLTTzlHJAiinKng/10mVWEYFl2gpIBZL541gux/+UPzACflQ4hCkosQ8HQHgvjKiy7cdLMtJs8vliSKcB947jr7s+ d+eejATQ6/7GMLS6a0gaI59jIoQKx46razepJtLrr6vmWVthx8uPHsNyeTHg OmzJgLGUKGHeBPz3j3lL0OyX2yJJUqJUAEnvLyvm1BKwpWjStI WpZNfZ4M3OvORyeBBZBxyUwl7wDy4JD/sy4ma0QcxzV7rKFQJg3whRdecF13zpw5ffr0ufvuu7vmxm/c9+EQAGMUiKFtnRSBYNnSBVtus+NpZ/yyWKZQmDVt5rwPp7Qu/GAYIdfc8vCyFrsl7zMgVpBAxMMNzv77+mitBmUGNM+687hdyUG nPldnQSHTlp7w+hvVYumQg7c6/rhdV5bw8pQlQBAn62gA/v8PNJg2aeL6v5rOCiG8UuHikw7af8ueS/NBQcEJ/Exq5cP3/+7Cn59gl5HJMgYvgZu3qFhtildACugAheJgSDg2OokJgQKlQB5 B87WnX7r/8N3np5qrgA98+vmKu+647qQjDxSNHK26nZcq3Rab/T9sAIpekgDXnbzb97cg/55h2xqLm1PPPPtgpv75804dufnOJxRjLJlboC7cYBU2qDvcemH CM/fvMJQ8+frUfAIPcASefPbGvXftPevV9xGhngdpaAsII0DlEGUQ F+FbC/KiDNRXqhwsqa6CLvqAD4SmyiS3we3OOkYu4HJopsEVJIdAh0IH KOBDOPXMWjn20gt22GX3pXXtCWADHoBqHmEaOvPiY78nI3Z65K W3XaAjDj6aNGne1El3//43WwwiM5aV3pixshA4EggTCspbpk84dPN+2x90+vQlZR+gLJz/5oNbEfL4v6YUAAZECm+89+oOe49auKAREjwOqJcB2pE0lIA2Ch 8I4xTa3zhjX7LV4WMbNv6d4t2XHh9KyLMvvOYBCyu4/7XZ2Wl3vXjjEb0GjvlkAZvx8TuJtIpAAQBNEK73fqSIE1AO3uk UBKSETHhcScISEBYr6dG7jv7BaafnbBoBHvBR3WenHbL3c/feWnaNPioChTagFYBfQFjiEolGZBqBrQM2vvtPelr7tlIWgPZZ E648j4w+ZmYcgwFCZKN0hACujZBmmxoOOvhQMnDPg088+c3Z7x bkMrCFlx23Wa99f/nq0jRPARQ5iDJsuzz78RtP7dVjFBmww93PPdoSlxAJUDz/wrjzfvWbvr0IIWTI3rv95Z3Xo7p2+CpJkAAuj8rcYVEYBj6DYE ic4sIpL9w9ePNDF7YoiEiLKMt5h5Q1UqW/eyUVank6ANLpdL9+/bbeemtDrXzf/+STT/r373/77bd3jUjYqDAxy0kSA7FWFngZCKLQmfj2B/0Hbk7I4JtuvCndmkLiN302eaeRI2++58mlzZbLwQArjJmUEkIp 9r8iVSHQWLRhL8fCSbv/8kay+b5nnHbGh+9Pp0EIpc85e8yRR4x+asJsGyiVWqX+Nox/3ymsiVRVKhUo4TfOee/Z+7be7/tk2Ig+A/pfesm5419+FLoiE3g+Eu2GosqAiLL/IamylOI8Jd2GpMGZ8vd/73LUGNK3LyHkmutv+3z+dMgAaaAKG0l7sI6hqP+HdQUFQiEqc/9580+OIGS//Y45dkFDG+CAf/TLMzbf+YBzJs9ZWEkZ20I+ilo2+gtFqcmv/O1nV9xGeg0kvXvvesAhT794C1QzIgSloEGEBWBJKiUkgCKijF9 qRmCXgSxjFpAoClWIwrYaqUq41sxaK6kSgUACqBx0/u//eJT07vfJ/BUN7e1VpdqqVfAQsuzYK6Az19/7JOm92ZBRo554Y1ypsREyeOuVJ0f0JX999cOOEBQI4phrBSaXv vXS3oMI6bXd3sf8Iut5jldFsGzx5MmX//ERMmAAIWTfQw97dtzfOyrNlXICCWjBgpxtLwba28KwCBTCELDS s/980Ehy2Z/ebf0Wkt29zDMPPzxwyKaEkH9M+TwPoDypYeINhOz1jxcWpvP1G oEFtEZRJZMFX2/L2ZpIVbXYCoSVSkfVyX+29LNHn35mm533IYSQQYMeePavuUVzw JxIIF+tMpb2/aZ2UxQjLCEqcwmqdAQWYp2sLBudVK3O5UZEESLTEX48c5PDj7/ltYlVBp8hUq4b5gAv9NKu7WnAQ2IjsgUgwZc3wecZsAwY4IFXT W0vhEDMuc6tyHx6/nXXewAYim2tJn8kCuDECCFCCFMmKyg3A46tEAJSQfCkarVC2TL IHr7/jrfe9ogfgAlQDkuHFixm7g9iQ8yP3wJMrKjxA955553bb7+9aV kzc+bMm266qUePHlOnTjXlRtYxh+jrQCMROkqoDyF0ksiYQ0Nj df2wCLroexoAl+AKftSWyVMJrgENP6Cru+oG9GtWVN9gcOmJxE GUINZtSdSWMApIDT/SAHx7BZBnGkULQMw3fqD6dw7ah/4vx5/SgNSQcaGpLjC0yGpAkknHqigBxCyqQsOPmQkjCRKhASgOGUM5k DaEVHL1gBsbCZCzIyAFpBxPS40khhSdvVJLrWGxRQtwivb0Mib XMWn6/7CuYICTRKhShAhhWchnHZRCQFdjZwVFiiKVLyCfgZDLNVZu/BcSkDpBKUQxBGwO6Bg6LnhuwXOhIbkoRYgAamV0WEYE4QgJZAp FjSBMShKxTX0XcADNAEqRVJBULOMKRBWoQnElQRViCYlGoFFUo G0AVlBtKqaX/+qCM08641dmg9gJZ8wBYsmFlirnZBmSdClgABeWTKpQKrJjO2B MIxY0USxbDASA0EUuBYmzLry6zUNFA7RVVpbZmSVxbPtAOlAhO AX3ElTyHFET/HqNckV4rS5cICwuRtD40CPX777/qOYC3I3v20i4A8TgQIhEoSWFRC8FVpkDQ4igo9hqGstAODqprn XAL4DDErAFIgklO/WVVNBAqZI3DegzuQ7Hc7mABnwgzwJwRq1qrj0DDQ4WgVtQNjSS CEmEhIPxCEm8bpfAb4NUaa0DHVKEor0FufR9b0/b9xeXFEIeK3BEGkE+3wB40Ghqbi5EtoM4AuIghsdyDR2LSpkOG ZsePtU4TleriZUEZdvyGqZ+NuHVD6a2lMuBFUAKQ6qaG3MJUIn 9EMLOliu5CrTjuh0hkHUcLhSgzGjPPn7PHtsPFxJVi3EJJuGC+ vAlPMBTTKnoO5f9Z2raotNkVVdXRwjp169fnz59/vKXv9xyyy2EkPb29kqlUntmo4LxQOhIq8TEQOlEsoRxIaq+X9/a6rAkATQQ2K6kHDETAJXwYwoj7kIqoSDxvyJVYVwBYnDFPVYBL IACTEhp2lQnrUA+ZDxbEoy5XlDc2O/zncMaSFUSOQgsQ50h8n5llQ1UgY6OehZVfc+XQLZcjpUSQMLY/4pUteVyCcB5C5CSGqVKNfA4Z2p5S0sEKC8H5XEqKkW3s0vY/+GbRL5aLfkOQjCbpa3mqs6Z2EnbagayoWwr+3WuBxaDi2VSrdj oLyR1ElEJi8EqBkEIlEuphDrGChsGIaNJBFiUqqAE4RnbrAQko BEIuH5ULfmWo/WXSZWl9ZpIlawCDny/o5pbATilQtOOu4+ZPH36ausvd4XwA8+HRqB8O7QiiUgIIIj9fH trKyRCBgFIKAlVqMReFCH2UcqVC+XbH/yHCxSFDKvLQVuhy5z7thA+kLFL6XIuFIBAWF5iSFVV+i7QWCxC Z6sdn/YdQD6cOykEsu46NmL5OoiTxOERB0PVC1rTABpcd15ohzKWjHkC STGOWysVIIBcb8/AmkhVTGlEfQ0eU19DaMAPqAYWNTX5gKQxpICC67gCPGuXbGgHA IuRRJoynbAICf1me/9tMBIOyqCwHKhDG1BEVVnX/vW2HU84b3EACBVWWiiKHtKCAxplLT0AIgFPUCkgCROIUhBSoOC HUgBCg4YQYUxLt95zfTWBr5GgChRYx0LwfIdEAeAV0BIkyjZtg N8EkakvStMUtlIqg7WnVkw98oc/+HzFctguEp5f7c/PAPkIPARAv4t1qmoePZPcVy6X+/XrZ9x/w4cPN/mAtdbu30L2H1dFU0zOZKWCI4nBBCIoCuEhbKm2O0lgjFe0gohW q3ZG8Mi0LeGRULHesIbK3wyYAzu7KqLtenUYQp6jCqR9T8KUWW M+rwiE+VQO3zmOvfGhqlDV/zRUNrVAhQS3IZwFFbRIoOMdWLPajMFcADopVRvtOJUoWD4khEY AuFCOCT5VKEmUY/1tGIKlAk0A1QC0tIlcveciAPKIgA43AxEgqFhAWQG+wyv/75HmjQwBJaBQTFjal3DKOrekmLNhdjosvyVEyQEqULFdgdroly g3QEgBLJNigW2q5XVQUMwuLe5A1eQhtlaqxZhCCSRxREEZlFuG sKjXLFSuCGUDFuApIIoR2aBlsEoBKAKmaKRxb/9/7d27j1xXHQfwFWvLshs3lkt6KChTRFDQIOSKvwAKSuTKpaVEpq CwBCmQEAIRdy68WChdpAQoSAyywMbr2LthdnfW874zc9+v8/5SnOzVKFI2trnzWPz9FKvZae5IM/ee7z3n3N+vcigtNJ4Bz/QMqDEZfA6E08EjmR/+/Z/db33n+/f/9JEGQpXEJquBrMbx+AEwgMFsXBmEDvF8pqUAdAldAurR4yc1kG lAaoTxr979efegvxv6B/4LpHtIHmH86WGBAAiBxNdACSpED1HtHlkMgKFUslCYf/LTH3zzlx/+5Tkw7cUvtw/7fyKgStRmkn5xCxOhi/QJ+ohD5OkoiQWQCoQFgLiqX/nBBYuRw1gjM1DypE1N5ZAbRHmlYKIktE7CaUhZxnEBO7flIBLz qYCMIKM9hR4ATIBAOygLFBMUkxKifrkBYOmhShkIBeAzY57gGG 7sMuQ9RL/Y+fPbP/nZ8cERbJTKXlD/Bw5JnARWp4AsM10VKJIiDJI6F0Dq90KX0ggNUf7uN+/t/PH90oWz2uVAKoZK9SAGRdwJgGdhaEJAoDf8t8YQZjAbP46BUGs BaKne/+07P/7RW58dHkgAZV2E8QulXihlzLEx/dyKzFr46mwbxuekwWDQvHPr1q3z589fvnx5a2vrypUrW1tbviQ gTm0f0RZpxs7NrRVFWqhSQUEJGOfrAyWxzUqICspoU6c1JLTNf A12pYQUEhZQkJVcW6jSqQv7vq6MqQwUYmBqbQwntI6DEFKWNsr rua/8u/TPs2m+IlQ5GY77e0NgBLjuB0j/dujcs6qqsiqcj4BYISykFhZC18am6wpVZSXyQgMHk8mnc+QzIO pFmCLI8xKiTAObBn6SqgpG0G/e97tkwqg4TzERSFCKSY4oAo7iuMxLWEg3yew4BUZKwKq6XHpFe 2kgDax9DDwNSjWvKgjks3yApKPGyTBBjsShBILxEFaXNSrhvph kxVTb4diZsRCvGqqQY3Q0gknreghM4SZRjn/86/jt7/7ww48/rqFqqE6/Xxs4DObzJ7KSVkK7uUPsLOazDE6IIrJWOGAURTXwwc79+7//g57HZSZHQF8IpWLYfvLir1D7M2AKHCVJAqRlaUOF+mk6+eQYCI AEONg7/N63v7H/0a/3gKfGQKMuln5GpiIXUMgNStjYmpl5Xk2OkNhwVk0nAhiFofDPM Jm5da+8/PdVoeqkZLGVWkhVwmloDaUyq5+PuzUAi3R27ETYBbrGABNgarC RoeoUDx48uHfvXlOjcrHZ01LdvXv3zp07vv64r6z/9b3uN8niTqk8zzudjp+p2t7evnjx4rVr17BQOnJtn5KIiE7V6/V2dnb29/ex2st1p9O5efPm7u4uTgaLFWzAfUOsLVT5ktD+6/Sdrr+2x1NbfF8zAKe3IN1YX+oOMZ1Or169eunSJd+y5saNGzjp z7WCPVVERPTaDg8P/TDkn+luuiAsW7fb9S+aUHUWR8MNtM5Q1bxu2pytoLRS0wDBWhs Egf8ZvUwX9I3iu1LgJDxdv379woUL586d297evn37tl/7Y6IiItpwftRrphiwklI4fnSw1o7HY3/cs7Vcs8nWufznW4c23+Vij6GlKorCdw5uthyt4EfcriYwTadTA Ht7ew8fPvTNwwH4NsMMVUREm6yZHCqK4pQ2263zQ22z9UVKyeW/tqwzVAkhmhSVZdnKko0xZrER6WoO2q4mifqdYY0sy/I8b06PXq+36k9GREQvx1/JF5sTr+DpIs9XOvSvsyxbTa/YN8HaQlXz/Rlj/Cqyf7Hs49Z17TtvCyHquva92c/QWrI/CX2/ZJzccPg5qsXu4is7M4mI6PX463kzR+U3NjX3/MuTZVkURf72uygKPwJy1GjF2kKV3wzknIvjGCcZawUzkP5AX9r EfYYSerMW7nf6+zf9g5OLdx7W2jiOeZIQEW2ssiyVUmmaNv9it dthrbVNpDtDkwubbJ3Lf3VdO+f8z8j3XVnNnqrFA63yqcO2NHF KStmsmS7eavi/KytRQUREr8Ffq32scc75y7iv3rxUvpaQ1roZQThetGWdoYqIiI jo/wZDFREREVELGKqIiIiIWsBQRURERNQChioiIiKiFjBUEREREbW AoYqIiIioBQxVRERERC1gqCIiIiJqAUMVERERUQsYqoiIiIhaw FBFRERE1IL/AnoZhMAxMkzmAAAAAElFTkSuQmCC
المعطيات:
Wa وزن المشروع الأول = 0.5
qa مخاطر المشروع الأول >>> مخاطر المشروع الأول معطى بالسؤال = 3% نقسمها ع 100 للتخلص من المئوي
3 / 100 = 0.03
Wb وزن المشروع االثاني = 0.5
Qb مخاطر المشروع الثاني >>> مخاطر المشروع الثاني معطى بالسؤال = 5% نقسمها ع 100 للتخلص من المئوي و نربعها
5 / 100 = 0.05
p (a , b ) معامل الارتباط المشروعين >>> معطى بالسؤال 70 % نقسمها ع 100 = 0.7
نعوض بالقاعده
اكتب/ي الجذر أول
بعدها
((0.5^2 * 0.03^2 ) + ( 0.5^2 * 0.05 ^2 ) + 2 * ( 0.7 * 0.5 * 0.5 * 0.03 * 0.05 ))
و حيطلع الناتج 0.037
تحوليه لمئوي بضربه ب 100 = 3.7
لا تنسي داخل الجذر بالبداية قوسين و بالنهاية قوسين والا ما حتتم العمليه
و ان شاء الله الشرح واضح
vBulletin® v3.8.7, Copyright ©2000-2025, Ahmed Alfaifi