Return-Path: X-Spam-DCC: paranoid 1102; Body=1 Fuz1=2 Fuz2=2 X-Spam-Checker-Version: SpamAssassin 3.1.3 (2006-06-01) on lipkowski.org X-Spam-Level: X-Spam-Status: No, score=0.7 required=5.0 tests=BAYES_00,DNS_FROM_AHBL_RHSBL, EXTRA_MPART_TYPE,HTML_50_60,HTML_IMAGE_ONLY_24,HTML_MESSAGE autolearn=no version=3.1.3 Received: from post.thorcom.com (post.thorcom.com [195.171.43.25]) by paranoid.lipkowski.org (8.13.7/8.13.7) with ESMTP id t9EE6vfd008679 for ; Wed, 14 Oct 2015 16:06:57 +0200 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1ZmMeV-0005ON-HP for rs_out_1@blacksheep.org; Wed, 14 Oct 2015 15:03:35 +0100 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1ZmMeV-0005OE-6Y for rsgb_lf_group@blacksheep.org; Wed, 14 Oct 2015 15:03:35 +0100 Received: from smtp10.smtpout.orange.fr ([80.12.242.132] helo=smtp.smtpout.orange.fr) by relay1.thorcom.net with esmtps (TLSv1:DHE-RSA-AES256-SHA:256) (Exim 4.86) (envelope-from ) id 1ZmMdV-0007c2-7V for rsgb_lf_group@blacksheep.org; Wed, 14 Oct 2015 15:03:34 +0100 Received: from pcn5 ([86.208.88.87]) by mwinf5d45 with ME id V22F1r0061t4SBa0322FNo; Wed, 14 Oct 2015 16:02:16 +0200 X-ME-Helo: pcn5 X-ME-Date: Wed, 14 Oct 2015 16:02:16 +0200 X-ME-IP: 86.208.88.87 Message-ID: <4D638D6C1B484517A69974D791121971@pcn5> From: "F6CNI - Andy - JN19QB" To: "RSGB LF Group" References: <858532982.20151012141313@chriswilson.tv> <561BC13C.6070603@posteo.de> <1893481215.20151013103725@chriswilson.tv> <2880411444781466@web29g.yandex.ru> <282008608.20151014123548@chriswilson.tv> <561E52E9.9010002@posteo.de> In-Reply-To: <561E52E9.9010002@posteo.de> Date: Wed, 14 Oct 2015 16:02:13 +0200 MIME-Version: 1.0 X-Priority: 3 X-MSMail-Priority: Normal Importance: Normal X-Mailer: Microsoft Windows Live Mail 16.4.3528.331 X-MimeOLE: Produced By Microsoft MimeOLE V16.4.3528.331 X-Antivirus: avast! (VPS 151013-1, 13/10/2015), Outbound message X-Antivirus-Status: Not-Tested X-Scan-Signature: 4d12987f9f9102802520b33a0ae978f3 Subject: LF: Report de F6CNI to 2E0ILY Content-Type: multipart/related; type="multipart/alternative"; boundary="----=_NextPart_000_000F_01D10699.B0F76020" X-SA-Exim-Scanned: Yes Sender: owner-rsgb_lf_group@blacksheep.org Precedence: bulk Reply-To: rsgb_lf_group@blacksheep.org X-Listname: rsgb_lf_group X-SA-Exim-Rcpt-To: rs_out_1@blacksheep.org X-SA-Exim-Scanned: No; SAEximRunCond expanded to false X-Scanned-By: MIMEDefang 2.56 on 10.1.3.10 Status: O X-Status: X-Keywords: X-UID: 4370 Ce message est composi et au format MIME. ------=_NextPart_000_000F_01D10699.B0F76020 Content-Type: multipart/alternative; boundary="----=_NextPart_001_0010_01D10699.B0F76020" ------=_NextPart_001_0010_01D10699.B0F76020 Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: quoted-printable Hello Chris. Please : Do not change anything on your transmitting LF system. It is = very very nice performing ! Have a look at your report here : Stefan said that =E2=80=9CWe could easily have a QRSS-3 QSO with good = SNR=E2=80=9D. Sure, but also on normal CW mode up to 1000 km. Here you = signal is 589 at 600 km, and + 42 dB over noise just measured on my SPM3 = Pegglemesser !!! I use a FT1000 MP receiver and an Inv L antenna base loaded in my garden = located in center of a noisy large city. 73. Andy. -----Message d'origine-----=20 From: DK7FC=20 Sent: Wednesday, October 14, 2015 3:04 PM=20 To: rsgb_lf_group@blacksheep.org=20 Subject: Re: LF: First LF TX's from 2E0ILY=20 Hi Chris, Am 14.10.2015 13:35, schrieb Chris Wilson: > [...] It's far from optimal right now,=20 ...but your first signals are better then that of many other UK stns in=20 the past few years (except G3KEV :-) ). We could easily have a QRSS-3 QSO with good SNR. ------=_NextPart_001_0010_01D10699.B0F76020 Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable
Hello Chris.
 
Please : Do not change anything on your transmitting LF system. It = is very=20 very nice performing ! Have a look at your report here :
 
3Dimage
 
Stefan said that =E2=80=9CWe could easily have a QRSS-3 QSO with = good SNR=E2=80=9D. Sure,=20 but also on normal CW mode up to 1000 km. Here you signal is 589 at 600 = km, and=20 + 42 dB over noise just measured on my SPM3 Pegglemesser !!!
 
I use a FT1000 MP receiver and an Inv L antenna base loaded in my = garden=20 located in center of a noisy large city.
 
73. Andy.
 
-----Message d'origine-----
From: DK7FC
Sent: Wednesday, October 14, 2015 3:04 PM =
To: rsgb_lf_group@blacksheep.org =
Subject: Re: LF: First LF TX's from 2E0ILY=20
 
Hi Chris,
 
Am 14.10.2015 13:35, schrieb Chris = Wilson:
> [...] It's far from optimal right now,=20
 
...but your first signals are better then = that of many=20 other UK stns in
the past few years (except G3KEV :-) = ).
We could easily have a QRSS-3 QSO with good=20 SNR.
 
 
------=_NextPart_001_0010_01D10699.B0F76020-- ------=_NextPart_000_000F_01D10699.B0F76020 Content-Type: image/png; name="image[2].png" Content-Transfer-Encoding: base64 Content-ID: iVBORw0KGgoAAAANSUhEUgAAAnMAAAC0CAYAAAD/wqorAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAINRSURBVHhe7d0HmGVFtTZg9OpvThiuiooXwzUr ImIGRa4BEyiICRFBBEQQAUFRUYKIkiSK5JGcM5JBMpJzzqAkyVnrP29Nr7bmeHq6T3cz3Y3re579 zPTZ5+xdtWqFb62qvWu2kkgkEolEIpGYMrjvvvvKAw88UB555JHy+OOPlyRziUQikUgkElMI5513 Xrn88svLzTffXO69994kc4lEIpFIJBJTCbvttls54ogjyjnnnFNuvfXWJHOJRCKRSCQSUwlrrbVW 2WqrrSqhu+KKK5LMJRKJRCKRSEwlLLbYYmXNNdcs06ZNq1OuSeYSiUQikUgkphDmn3/+8p3vfKds s8025cwzz0wyl0gkEolEIjGVMN9885WlllqqbLHFFuX0009PMpdIJBKJRCIxlfCBD3ygLL300mXL LbcsZ5xxRpK5RCKRSCQSiamEBRZYoCy33HJl2223Hdk067W3/L38bPvjy9fW2a98a/0Dy1d+vm85 54pbB84+MXj40cfKFvueUbbc98xy/4OP1M9+tetJZYmf7VM22fPUcsffH6ifJRKJRCKRSPynYaGF Fiorrrhi2W677cpf/vKXmZO52+9+oKz6uz+Vb//qoLLbUReUQ06+vKy+5VHlS2vvXU698IaBb40/ 7n/okQ5x27cSyNs7xO30i28qC62ya9ls79PLGZ3/P/jwowPfTMwq3HTbPeXXfzy5HHDipQOfJBKJ RCKRmAj83//9X/ne975X/vCHPwxP5o79yzWVRB111tUDn5Ryz/0Pl6/9Yr+y/G8P7QT4ewc+HV/8 4x//LJddf3u5/IY76t87Hnpu+eo6+5Z7HphepUvMelx9811l4dV3KxtOO3ngk0QikUgkEhOBvsjc kWdcVRZceZfy+wP/MvDJdFzRIVknnXd9+ft9D5U/n399+eOfLijbHnBWWf43h5bvb3p4OeGc6wa+ WcqDDz9W9jzmovK9jQ8r3/n1IWW7g88eODMdV9x4Z632Lf+bQ8qPf39sufja28sjjz1e9j/x0rLP sReXPY+9qHz5Z/uUD6+wY1n6VweV3+1zetmtc7+/3nlf/f3Nd9xXfr3byeWUC3pXCs+85Kay3EaH lu922maKdq9OW47pkNS7O6R0u4PO7rT9/Po91b59jru4bLb3aeWf//xn/ey6W+8uP9nu2Nqv1bc6 qpxzxS31c9jhkHPKHzp9+fG2x9b2O0xJB1Qxt9n/rE77ZiS8CPBOh51bttrvzLLZXqeVZTc8uE4p q4IG9G3lzY4oK3Rk9sMt/tRp10X18wceerTsdOg5HXJ7TvnB744sG+9xam33+Vf+tfykIzvtXHWL I8tBf768PPTIY5V4b9m5j+8jYd/tyNj/jz/72vKb3U8py/764NqGa27+V7svuuZvlagvt9Eh5Ve7 /rnc2Gnv3+99qKyzw/Hlfd/Zvnz+R3vUcYHHO6SbfFxX/0889/r6OZDtHzrHj7Y+uvx291PLw48+ XqZ1ZP2dzj1X7PSL7O6858GBbycSiUQikRgp+iJzCAaC9ZEVdirL/OrgSmhOu/DGgbPTsfPh59Yg v+iP9yqb7316WbVDMr78033K6RffWEkRsvSZNXYvv9jxhLLRbqeUxdbeu+xx9IX1t8gg0vDtDQ6q hNH/l1r/wHLL7feW5TrEzxq9P3UI5aodQvOh5XesBGTrDmn8vx9MqyQNjj7rmvKZ1XcrB598Wf27 BZKz5LoH1GOHDolBXt637B/KFvudUW7pEKbFO+1ELuDuTltMKX+8Q17h4Q4ZQkC/2OnXNp17fr9D rpba4MBy+fW31/OmgP9vlV3LFvucUaegF1p510qu7n3wkUpGl1rvgPLTPxxX7uoQoRYXXXNbh5zu W979rW3LLzoECdH5zOq7l19N+3N59LF/lOv/endZoyPnb6y7fyV9q2x+ZD2vSnnnvQ9W+amQbXfQ X8php15Rr/fVTltW6cg9+rjY2vuUq266s46f3+qTPvzsD8eXhVfbrV5j0z1PK+vvclJZ4Hs719/V tl19W5W5Mdi+Q1bJZrUOSVOV2/mI88qCK+3S0YODyukX3VTuf/DRskGH7H2uM7bbdsbup9sdV9dT /uWym2s/Fu/c45Or/rFs2SGqh55yRZWR6xlD5HXBjry27xC6xx7/R713IpFIJBKJkaEvMgc3dMjF fidcUsnDgt/fpXxkxZ0q6bnkuumkZvejLqxES0CHG/52d1mkQ4A22u3kcttdD9QpWdWZgECOjFx4 9d/KtCPPL/N3rnfdrdMrQzfedk+91x0dEqLC9/1Nj6gPQEz70wWVlNxyx321OoUsBgFBeFb47WG1 otQNbf6/VaaVC66afu6wDqn40PI71KrQX++6vyzdIZEqXKCKtXaHkFgPqKp14EmX1n5deeOd9fx9 HfKycKcNm+51Wl3Tpwr2zQ5J9DtAZFUeVeeuuumuuubv0FMvr+daXHb9HbX9CFNUF7c58KxKspBP fTe9fd/Agx8HnHRZ+dB3dyj7n9iRyz0PVJLoPoG/3nl/OfKMKyuBhF0OP6+8d5k/lLMvu6VWH1U1 EXHXu7Ujvy+suUf5Zuca9z3wSLm3c2in8flbRx6/3OnEWnnzfzjtohvrNPuhp1xeZY+seSgFDj/9 yvLhjny0FVTp3OsXO5zQIbAPVtKHpD/08GP1/I+3PaZ8dKWdq04AMq6NfpdIJBKJRGLk6JvMtTjv ilvL7zsE6RM/+GNZo0MATJPtdezFZZE19ywnnHNt/c5tHTLyvQ4RU0079cIba2VLBcw0nUrVF3+y VyVJpjvX3u748o0OIeoGMmWKEZlDblSJPv3DP9Z1dKACttoWR1WiZRryd/uc0SEm00lVwDWQM1Wr G/52T/3skmtvqyTKlPBQZE5b77n/obLRH0+pZOXn209v99rbHdshSdtVkqlNpgp/sPkR5W9/n058 zuiQE2TmnMtvqaTR1K7/dwOZW3StPcsGu/x54JNSTjrvulrFOvjPl5VHO6TMNKiql0oaQvSRFXYs e3fkrNLmYZS1tjmmktrAER1i9cudTqhtRKLmWXq7QTK3+E/3rtd54OFHy7Ud0kz+6+58Yv0dcrf0 +tNlcMl1t1WSvsD3dqpTtmRhanreb29Xp4SvufmuKhsVvYc7bfz9QWeXDyy3Q50OJh8VXFPhy3Ta i6R+Z8ODy+pb/mlwKhVRpQtLrXdgnZrdav8z6/RtIpFIJBKJ/tAXmTvitCvL4adeUYlRC+vFPtUh VwK0ChYyd1yHgADCseImh5cfdgK5J08FcNOcKleqWn579JlXl4s7xOonvz+uVu668fg//1nJUjeZ u3SgGmgt35d+sneHlP2lQ8gOLEedeVX9vIU1WkiGapJ1X3DBVX+tlS1k7tY7769Tiqt12gmqVOvs cMIgmfPkpqqhNm/SITCb73N6XVP3lw5JIo/vbHRIJXYqY2BtoEqdtiKYCNFd9/w7WZlO5vYq63eR uU90yNxRnX4hVYjd0p22IVHWnmmHeweZW2Orowef6D3zkptrxWutbY+pJHe9XU6q5M90Z5A56/pU 5q65ZTqZ86oZD5motiFX2uu+pnRV4jba/ZS6vhDhOqhDMK+44c66TpLMWzKnYkjGvktOex17UTn9 ohvrFKxxMeVu/ALI99b7n1WnWj+92m61XTE2iUQikUgkRoa+yJxF84iEtVkt1tr26BrYb/jrPZ1g f2l5/3e275CY6Q82XHnTnWXRDmGw8P72ux/sELn9B6tf4B11ex93Ua3Y7N0hKKY9o+KGrJgCPen8 6+s05iqbTScD3WROVe0bv9y/rp1bqUOoLrz6r/XzbpjGRTq92gROPv+GMt+yf6j3mD5leWAlHWA6 0PQjsvNIhwgeefqV5YMdsoIABvY94ZJabUQUTXW2ZA422+v0uh6NzPRx4DmKGYDMeV8eIhnTmUiY 31krePw51w5Mk05/l9/+nXt+sCOj/Y6/dAYyFwTbAwwf+O72g2vPkKp3LrlNueDqv9X1eyMhc6ts fkRdj2dq3HTvjQOVTHLY9Yjz6/hYg4d4xzTrsR3yrnJ5+KlX1r/Ba0s8/ILMfXuAzEVlTmXx6Oap aPrx8e/vMjg2iUQikUgkRoa+yJxKylodIrD4wFooFZj6dOdvD61PTP6jw1YQMmvpvDpENcvU3Pc2 OaySFuetgbMO6webH1mnWlWgVILuvu/huh4O0bNua6POb1fs/O4rnet42lSVy1qv2/5+fw38H1xu +3JRh6AEfPbGJX5X1v7DceXu+3tP11m/ZvpvyQ7x0zb3teDfU6aIiiqhqUHTk85/erU/lo+vvGv9 relOU8lIpIcTVK2Qx0NOubw+HGH6FhG85fbp697AVOsnVp1WSUpLAluQC9KICKkErrnNMVU+nviF cztk1zU85YrkLdP5Vxt/t/cZlcSayl3xt4cNTrN2V+b08a1f36quZfQwBXK28qZH1GnoK2+6q1be frjlUZXMebK2Tn12iKWHFjzoYP3hImvtWatnxvlznbZpE9JqbJ2zTg75NQa1krfbKXVa2BTtPsdf UtvmAQgPPCCgsPvRF9Z1j6Zef9tpJ5KPiAahTSQSiUQiMTL0vWZOZcXrRCxg/9n2x1XScOpF/3qi ddqRF9QnO51DTBAfDzcEkKLDT7uy/GxgXZU1d7EIHqxn8woM5/z2/A4JQgIPPOmyWul54KFHavVG Na0N/EeeflUlWl7bEa8S6QWEZuM9Tqnt9sSlipgKGpiGdF0EdeMOUfVErAcI4nrWfiFIpkzX3enE walkMKWofaZnA/qqcrZChwS1FbsWyJypX2vhPMThyVVTqPEggGrawSdfXtfqIUme5vX07zFnXV3v hTx7OhQZDezdaYvpTodpYK8AOerMq+uaOE+Rqp6pJhrLnTv9Izt9vKdD8FxbP0wTA0JnvZw+I7jG A1QCXdNnXrsSIB+Vv3U67TUlH3BdU7QeFgnse/zFHR05ul7fOsckcolEIpFI9I8xPQDRC94x99nV dy8nnnvdwCezBh4W+O5Gh85AHIfDxdfcVr744z3r+r0nAgiW6ddKCAc+60asmVtv55MGPkkkEolE IpEYOcadzKkuLbDizvX1FbMCqmkHnHRpXZNlmrSfJyK9I+8TP9j1CdnFwHv1VC89xevVJEPBgx/e T2fdWyKRSCQSiUS/GHcyd8qFN9QnHPupkI0F1o1Zn2Ua8q93/Wu92kjg9Rp2kDB1Od7Y5/iLy0qb HF5OPG/mFUoPHWiDHS4SiUQikUgk+sW4k7lEIpFIJBKJxKxDkrlEIpFIJBKJKYwkc4lEIpFIJBJT GEnmEolEIpFIJKYwkswlEolEIpFITGEkmUskEolEIpGYwkgyl0gkEolEIjGFkWQukUgkEolEYgoj yVwikUgkEonEFEaSuUQikUgkEokpjL7J3IMPPliuv/76cvXVV5dbb721/OMf/xg4k0gkEolEIpGY 1eiLzD3wwANl4403Lm9/+9vL6173uvKe97ynHH/88bOU0D366KPlzjvvLA8//PDAJ4lEIpFIJBL/ ueiLzB144IFl8cUXL3/605/KzTffXL7xjW+UL33pS+XKK68c+MYTj3POOaeSycMOO2zgk0QikUgk Eon/XPRF5u6///5yxx13DPxVyjbbbFPe9773laOPPnrgkxnxyCOPlLvuuqseqnqBxx57rP4d5+++ ++7y+OOPD5ydjva3qnGgAohIzj777GWHHXYY/Fy7fO/vf/97vXbgvvvuq8c///nPgU8SiUQikUgk nlwY1QMQSBUCteyyy5ZFFlmkXH755QNn/gWk6pe//GV5wxveUF7/+teXz33uc+W8886r5w4++ODy /ve/v6y55pr1nErbpptuOjhdi5Stuuqq9ZxjjTXWqORPNfC9731vedrTnlZe/vKXl+OOO65WBT/9 6U/X+8w111xlww03rOv6YOWVVy4rrbTS4N+JRCKRSCQSTzaMiswdc8wx5SMf+Uh57nOfW3bfffcZ qmGBrbfeuiy00ELliCOOKBdffHFZYoklyre+9a16br/99iuzzTZb+djHPlYuvPDCsuuuu5ZXvepV 9XMkcYMNNigf+tCH6pTqKaecUuacc85K0lTZfOdlL3tZJX/33ntv+eQnP1k74B777rtvWXDBBcuh hx5a73PDDTfUhzXyIY1EIpFIJBJPVoyKzJkWRcJMs7773e8ue+yxx8CZf8E06Ctf+cqy1VZb1b9v ueWWct1119X/77nnnpWQ7b///vVvDzRYf7fKKquUq666qsw333xlnXXWqedgtdVWq9O5np695JJL KvELwvapT32qft/TtUjbNddcU9uXSCQSiUQi8Z+AUZG5gKnPd7zjHeW73/3uvz1dqmq27rrrlhe9 6EXlLW95S63k7bPPPvXcbrvtVl7zmteUs846q/5tvRsit+iii9apWCSwJYjTpk2rpFGV7dxzzy1z zDHH4LVMvSJzqndve9vbyvLLL1+uvfbaei6RSCQSiUTiyY4xkTmVsA9/+MNlqaWW6rkuzWdnnnlm Oemkk+pN3vjGNw5Oh6qunXrqqfV7QeaWWWaZWnlD/qKiB5tttlmZe+6567SpqVdkzjUCqnGmYz0c 4XsrrrhivWYikUgkEonEkx19kbmdd965LLfccnUqNP42Xbrtttv+27o076OzRu6hhx6qf1tb9+Y3 v7lcdtll5ZBDDilPf/rTyw9/+MN6TjXOAwyqcUiYBysWXnjhes56PI1U/bNmzr1f/epX19ekqP55 NUpU6cCaua985Sv1u4lEIpFIJBJPdvRF5jw56kEGlTMvDP7v//7v+mBCryrYRRddVL7whS9UAue7 jo022qhOx3qI4QUveEFd7xbnPLGKnHmNiOrdZz/72Tq1qtIWT8w65/fzzDNPee1rX1tfieLhCX87 5p133vpkq0qg76611lr1idl8mjWRSCQSicSTFX1Ps5rSVBXbe++964t7Z0aUPJRgOtR3jzrqqEHS p0pnmtXaubiO15G0uPTSS+s5Vbcrrrhi4NPpMNV6wAEH1IcqAHnzXccFF1ww+F650047rU7l9nra NpFIJBKJROLJgDGtmRstkDhkzg0TiUQikUgkEqPHhJA5a+2e97znlRNOOGHgk0QikUgkEonEaDAh ZM775kzV3nbbbQOfJBKJRCKRSCRGgwkhc4lEIpFIJBKJ8UGSuUQikUgkEokpjCRziUQikUgkElMY SeYSiUQikUgkpjCSzCUSiUQikUhMYSSZSyQSiUQikZjCSDKXSCQSiUQiMYWRZC6RSCQSiURiCiPJ XCKRSCQSicQURpK5RCKRSCQSiSmMJHOJRCKRSCQSUxh9kbmHH364HHTQQWWHHXYou+yyS9lvv/3K 3nvvXTfO99kZZ5xR7r777nLyySeXY489tvz9738f+GVisuOOO+6o42kcHbvttlvdQ3ckeOihh8rx xx9fjjjiiPLggw+WRx55pBx66KHlqKOOqjozq/H444+XK6+8shxwwAFVXy+77LLyj3/8Y+BsKUce eWQ9Z3/ge++9t37/mGOOqe295557Br5Vyg033FAOOeSQcv7559fvTGXceOONdUx33HHHsueee5ZL L7104EwpN910U5XFiSeeOPBJqfI666yz6ud/+9vf6mdnnnlmlduuu+46qCf+z3H885//rN8ZLfye vF1/jz32GLz+H//4xxnaOhSuueaacvDBB5dLLrlksC3aq8+ueeutt9bPxhv0i0y1daeddionnHDC wJmhwa606bzzzhv4ZEaEHIY6/0TgzjvvrOO/zz77DPpzPv64444rDzzwwMC3JgaPPfZYOeecc8r+ ++9fpk2bNqgb/i/m/Cfj/vvvL6eeemrZd99963iFbOj9RRddNPCtf4E/di6+Z6xPP/30gbNDgw9l X1dffXVPW3cvOuv8eEIsOfroo6sfFmcSQ6MvMoeoLb300uUDH/hAeetb31pmm2228v/+3/8rc889 d/3sd7/7XTn33HPrudlnn72ccsopA7+cdRCcOUOkIjEykNdyyy1XXvOa19RxdLz4xS8uH//4x0dk 6H7/5je/uTznOc8p1157bbn99tvLU57ylPLyl798kAjMSjD6DTbYoOqnY8kll6wBAQT15z3veYPn OKH77ruv9v1lL3tZJW4Bzs53vv3tb094QBsLbrnllvL1r3+9vOpVryrvf//7ywtf+ML6bzhe5Ek/ jRcSDI8++mj5/Oc/Xz9HzOHTn/50/ft///d/B/Xkda97XXnve99bCbLfjBbI4+9///t6/Ze85CWD 13/9619fFlxwwWGJzYYbblh/u+KKK9ZrGVc6+cpXvrKOv78Rdfo5HkEB+dlmm23KnHPOWeabb77a Vn7wv//7v8tvf/vbmhwNhU033bS2dYkllhj4ZEZsv/329fxSSy018MkTDwm4cX36058+6M/f9KY3 VZ3ZaqutJlT/xZ0vf/nLVSb0odWNueaaq7Z9IoHc3HzzzeWvf/3rwCezDpdffnm1ZbJ529veNigb eu/fK664YuCb05O2ddZZp8bm+J7f8PVIfPjIXlh11VXrPdZbb72eie33v//9ep7ujyfEkjnmmKNe W/sTQ2PU06wXXnhhNf5PfvKTMyix/6+99tpllVVWmUGRZgVkKZTtF7/4RbnrrrsGPk3MDMjvd77z nUpwpnUy3YAs7EMf+lCV53BgZPPMM08NZNdff30NZK4n0N92220D35p1EKx/85vfVAfgkFxEO2R4 z3/+8+vnCKdKDr0R+P/nf/6n6nVA1em5z31uWWGFFaYsmQuS9LSnPa1WNsA4I2ZkASqyZEEmyy67 bP0MBND/+q//qkQNFllkkfqdNniq3pEbwoUojRbaud1225VnPvOZ5ec///nAp6WcffbZlWhLLGam S9qIHKnkQRAm1TJQkfjlL39ZfvjDH1byPhYIZmuuuWbVd7INSCC/+c1vlo985CPl4osvHvj036EK vOiii9b+9oLKibZLsGYVTjvttPLGN76xLLTQQoMJGLKPqCOsE5GYB5BwY4t0hC6CNj3rWc+qZGYi k3fjKYnw76yG5Aspe+c731l9WSB0iD6CeKgQI2FTTQ4gS/PPP3/1BzOToRk4/kBix1a7wR7cT0Fn PCGW0MtnP/vZlTAnhsaoyRwnTsgu0DpxTlO2QLFk6qoCf/7zn2vF7qSTTqpTWRydzw877LBqnEro LduX9TIM501btFN1rmn65PDDD6/TejJ2mREH/etf/7pWhzhTgYsCO+fecS+VF6VbQDyUqH2mlOu4 4IILKiH1/T/96U9VKAFORaVKlq8vvuPfuN5UBBm+9KUvrYFjuMqKChwZRr8juCJz73nPe6qjCDKH MMmcJ4rMbbTRRtUBIBoqUZyQ/q277rqVaKooIypB5t7ylrfU9ra6LFvVD47aGJvucx0yM61Mr+nL ZB5/trPGGmvUPm+yySb/5rDZhykaZI8zfsYznlEJrc+/+tWv1s8jgCIgvmMJRcD4srfXvva11ZZG CwGCExKcf/KTn9T7g2qB9htLU778hACGUPJBbJS/4U/4AkRE+6Ot3/3ud+s4qRi4Bj1FYkdbRdEu ekCn6EXrm3pBW92fz+L7TFe5N5/HVgJXXXVVPY9Ubb755oNtn1VwX5U4pDyWV7CXlVZaqcpNFZLf 40uNiXEwtc0fRhWS33Ydn7uG/yPj9MfvhvMvQ4Hf/cpXvlLJXEtEyHLeeeetiRgdAHpkapid0lN6 EeC/tMnvyFq72uQN9E2f+Dh2ri8B7TBuxpL++b0lC3SKPpgNCEKFJLmH67CL0BPX11ZElP66hqJH L4I0EtCvD37wg+Ud73hHbVtA3HzBC15QFlhggXpPCZs2DpecG1d9aO0Lqefj2Vfrz/k+7fc9tvBE kTlFI0k1u7F0S9v0lT4Zy/DDxt1B93AMHEFMH2pquF+4H7kaU/1u5Y1DhM5YrqBN5DicfxhPjJrM Ueggc63CUy6ZkgEQGA2uQTYVsfjii9dsVqVEtUMAVSY3vRVTOQZP9hzfM+XCucXUiMDj+ypBKj+v eMUr6m852E984hM1+LzoRS+qGSYlE5AZO4N7+9vfXu8pKIAKwFOf+tQajD72sY9VUqM9HJjvvfrV r673j0oEoxTs9JvTY0D6xtExmKmIjTfeuPZBoJ8ZKKvsjczf9773Vdn84Ac/qMrKYU42MverX/2q jufXvva1Oq3AiXEEn/nMZ+rYIh/GktEjc3SNLqmWcMIOJAK5oA+cLRnJgP1eBYncPvvZz07qKjAH FOQAoUNm26oRJ8dG9EewZA9f+tKXKimS1fcicy1pY/vkwRa6A2M/aMncj3/848Hgpn2mgQWitdZa qyZtph+1g93SRfZnmlUf9G/99dev/sN3TNHoz0c/+tFK3uml2QRkfDRg51tssUX1MabhhwvCqiHa wf8JuvzhZpttVj+TQOkfP6UKrs3f+ta3Kol2flaTOT6bD0VEAPFXEdOurbfeuo4//2jMBVb+QFLk nH6YHqZjfIrZGfal3wiXsTNdOhoEmeOL2WVAAJesmRa2JpTdq8SaKmanbJwO80fGzRSj9n7qU5+q FUe6YZpR4DOOZin0gS8QK/g61Wjr8pAceo/wij90T0Xswx/+cNUp9/R9fSe/5Zdfvn7PtbSRjrJF PohM2RmiRX+33XbbUQf9qMy9613vqsQmIGGh73SfzfzoRz+q/jDi7FAga/Khf2IinbUWT+WN7Ogu WSm2qNiSsb76rt+wjfFEkDkyxifoFVmb1qVPX/jCF+p9cYuFF164+gB6aYnIu9/97qozbH+s60/Z Atvln8jbuOq7BIc8cAl6SG+MrTaZ8QpbmhUYdzInw+SYOHgMmRLrmDU7EH8jfBSHEzHFIyiGo5RR CDDAADkIRswYCExwpqyCh8Hk/F2LggnI3/jGN+pAmxqTMSCOWLR7c8IUnHEK+NoSpWjB2t8UmAHI SrTN9YDTFdwEFoZjEA0eRWtZ+lRClMct4p4ZGDQj5wzIxbSX6S/EwDo0DnsykTlZsvboH8eOxHF8 ghFdNG6cXZA5f3NW2sxQHdYLMUzrRdqKlqok8sKwt9xyy4FPJy8kOsYunAwnLMNkM6C6wKasLUPK VbdVQMiJTLrJnClMmSeHYUkDPWBLY6lQsqVeZA7oG6fsc3YZBEn1lU8A44A8+A6o7vlOBBf+Aynh 5EdLKkAff/rTn1Y/0laJyIJeCPyqUEHwTVtrBz/G54CEwWcrr7xytZXFFlusytlUFh8Y649mNZmj 85Jk7dAXa+WMLT2QsEmI9JsP4AuNlXZaU8qGjIvv88u+6zz/O7Ppu5GAnkrK+BREXXJN3tEe0+eg EidWCKJAb/hqstc+PoGcETTETXWMXpG/qiIf6B7Gl16Ja/waUqB6JqFVGOAj6D8gtexCv8nMGEfM imUMq6++eiVSfoPMIaaqnXSz1fPRgE9DLBFJ9qNPYhG9Ewv32muvShSNUVs9FxtVILVJLDdmZEQu SBHCJFkJBBHWZsRZHOYnXMP1/YYujLc/ZB9kTl7Gnk+W7IR94Q3uK7bDF7/4xfq3QoMEw2ydv439 WED/EUZ+hYwlyMZYbGiX4NBBSQLZeCBkVuIJIXOUS8aDzHEIhIlRA+XyN8MHjg95E2zDsTEw06Qa hGAhUIIyo0a0/N4hY1fKpICgzBlkjnGCeXafM7g3vOEN9VocOmWIRfLWV0EsPKYIwHgFQGsFgKM2 gJ/73OcGK4U/+9nPajZAgGM1zImAcdFn7Z8ZBEBjJcPjzDhJhsUZUHSZ7mQjcxwoB7DMMsvUQG6c VRStc5JMIOpB5iQfiJ5s3zg6EFjj3QYk10Z6/FaFaCzEYFbCFBMHr//G2/hwSCB4+5sj2H333asz Qv7YsYAcZE4S5LcCF1sKcqgqxnGOBeQ9FJljv6qGfABbF5jIPyrswM/4LWcLQeYiuCBzKiXjQeYQ WCQinLW+qwao2rAL97VmCRAyf8daPtBPn6222mpV3xAoFZrwo/TO+VlN5oLIIwb64kCi+HQgQzZu 5oTOGAPTXwiPCgXdojf8NLvj19naWHXD9VQsJV90Dylxb/pHJwCJQu613/iY3kW2tQ8Z4+8lHNrU +jpxypiZ+lQx48vbyrO138bCjJDvqBJJZNkTIHPIoXYhNioxYpk2ur8YplrsGgiRdiAj9LldrjBa IHPaI5Hhbz344F6uH+tFyY/ta2PMMkWcZsdkJOYiKXwhgoQ8xXeBTNkXO1PVVm2MCj6YxXDfJ2Ka NWbAHGJOyB7EYp9HpV21299hb/FQFdmPBfwRQm/MyFlCjPC2MUBsMCPofkheEM5ZhVlG5sLJxpNz AizIIhgQh8AQGBQhUTKGo2LCySjlc6Tuq2zK4TBcBq7ESZDBimWSBBxTAYK6LEOplUL7rBeZi4yZ swLf97cFohwSMsfwGUZUIQQLAV+pvA1AUwWUnWOc2VoKWaqAzegRZUqN0HAck5nMqTaZ9jD22m7s 6Ad95QCNbTeZizUvwCEEmXNNoCP0k26O5DUUkw0ycFm1MWe79FqgYkuSGHYT1SSH71l3AlGZ87cx ttTA32Q8lqocDEXmtM/rE4wDgiALHgmZcw1ti+Ciak9fOf+xOFmkAeGlT/xGEBUVNf/nTN1Xm2E4 MsfHqBwbi5iS8V3nZzWZQ95MlyEIbD76FPC5qUG2YmrN91WdkDjBi32xD7aCwASZc52xABmJNXPW JCFVZn/EDcm+MXFYFxmEj32qNJp+FHCDYCLhrd7oDz9hpkXfEUQxJhAkRdVO/12X7xDbQIxBatwT CURu2AldFB99HxmRPCoWPBFkToFDnOS7+CQ+zphEsmEsY62wh5/AuBoXOqeAQgZ8+UjIHFtCVhGn eP2YaXRyeiLInL4ZF/HF+Iq1oZfdZE5V1t9hbzETqAo+FtA5fcZLyNV6PGOIa0QxiR8kN0SvXcoy qzBhZI5DhiBzCBtFJxxC4lwYKGMxTSTICBgWMwYzR0BkJASo7O97SB7CYbBl9M5F2d3CRAohc6KE QeZkdBBkjmOCIHP643r6LOghd1FaNSVCwTz5OBXJHILK4SC4DCegEsVRmEJF0BBozttCWFNdprcF R9ncZCVzggv9M24cmbHkaDncWOPRTebadV/GNMic8fddzp8OjPcj+E8UOHJjZmokoMJqfKwdo7NB 5ugyB08nVLjJpxeZC8fJqfMBHC2CEw52NGjJXPs0q/awR1W1CLKCs3a10xjDkTm/pecqc2Od9hMA 6QqfRd8D+iBJdd9YthBkLoIoBJmTNCIRqnICVqx5Cj80EWQOUWl1pUUkddrG5wnmKouSG+PBH/CZ vif4I3MC73iSuZi6VC1mm0gL/QWVZrHEMgDwOzI1O2Mq0HQsvY/k3XiJF6r24paxM5VIrwMSGzEG iRRfuskc30EftUMAFdj5RuTO3+7BP2qHc2JcPJnb3me0CDInITCTBAg0W1DxNa6AmClq8POt/vOF pkiNlWnilswhd4GWzKlAqsyRQ7y/MSqYTwSZo5fGDfk15Wq89BuCzHnwAYLMhb2NB5nj11TL6VYU PZA5MjP24qEChzGX5Fm2MhEYNZkzoBio4BbvqwJC5pww2PYBCNNzEFmnyg7Um3b+FkwJzVo5SieA Cp5In8E0WK5n8aEqHudMgIwrnmZikAiEUr+/Y9oV+WJM1kK4l0W+SGKUvwV+iIG34B0QTX/LqrRN Wxm2QdQe96BYApp7T0XoF+emT+RhLB2mX2VrytOcoqkEWa1p8nCkzgv0nCVngjxxcoIdp8jBRRl+ VgKZ47iNlcqpsZalG0tTLfpjTP1teogD49RltIJTIBZTC1oCUjgsOsixSGJi4fVkhbHhcNiJJ9q0 WZWbcwxCyvlEcJZA0YnItB3WHoEkyN/tIvSoXAgoprZGC0FP4HctAZQ90UOEDUngpELO8YBABHHg ZxCK8DPRrniwR6CTYKroGGNjPlqQj2lUOqNCxU9pKztiFxx6vAaG/9KOqNRB9BNZ02+ypmeIkutI Rp2PhHdWQFImQFvQ3ybn3eBTtY1tIZ2IStgSP6s/jngAQvAfK5mTyKt+STjoMEjsLXFxX6RF0Eck 6YpxlvCzfdNydEDyzfYFZOTFdxFuSYJkAdFCFI2pJUDGlJ9zLVO8fIaCgeqM5D6eekeM2A3fKLbx fYIpPQiyLtbxj2KmIoJ1XfrS2tFoIQaKh+xb+4DPZfNkg+zoG4LN3slHwkPPtC3sXCwX39iF+ChB a18iHrETUTa+Ejv2JokT89mV8x6QGE+QJ5mLJ3wZOyI7FWFjGmQuiLGx8nfYGx3wt3XzowV7t6wA maU7fIkxJyNLsOieMXYffpAtRWwY64xFPxg1mUN0kDaLAtvslJITMIXXmTCYIEycnL8FRuBYBX2k EBg+B+Az2a+BjNK9QCP4Kp1zPEgU5RRYw4l4mMFnlIvQMWmEzrVk5bIJ99J+A60t/gVs3t+cBLiX v/3OgCKQCIsBs5YEYUXm2mrOVASZm4rkuDgzBxmSQwQ9Ad1YMHqylV2SqakDZIkD8HtVINmna3iS ra32zSrIwjkVbUDIZE6mEP2NfDIwOmpsEXJOQZ84Rdl3gAHrI+cnaMncrS1B+kJOCE5UjCYj2ITA pZ3GTpv1SQDj4MG0k7G1/ig+4+glSWQUTp2j9LcMPiBokiU7COI0GmgnUun6AnDIV1v5iliX4nuS LfeTHQf4GZlx+BlTaq7FsQHfYVqTXrP/qDaOFtqhwilIa6O2ardEVFIYTlxA1454oAsEfZ8F8WQz Ud1RFWFbzgtYswqcvyQF0WjXJHVD4FbRtQ4NOdFPJIHs40EE/gSxJRMVjbGSOWRE8ERYVMgCCBe/ Y0ZAG/ho1SSyc2/6jpixb+OvfUgXX2CpAXk7z7bBmJqm5AuMKZtQrY7qE7KEuCKWUb10T2Mrxrgf /dNfU250zXUUKvhXtoUUqh7pS2tHowXSwLbpdFTmQExUBGHDQYDJgB/XrrAtvkwBRGLkPFlJlvTF +AbIl7zCnuiB2Q3fc3860drbeEEsIXNjIZYYI9VF7ea7kTT3jSnhbntD6vwdFfvRwr0lX8YZ71Dc UJm31IS9kD/bb32XolK7bOeJxqjJHIXlYBkaAQf8n8I65/8Cq4cRorTL+P0dJIECGbBw1uDapucY EWbuOy1kN84xwm6y4Lp+IzvxO/fzt+/7nfb6l2EhiNoSGX+0lUKD3/vbb8CaCBmXQUJgXXMiyMoT AX0lJzJ1kF8EJDCWxglx8z1y9rdxjTEnV//n4GJM/X9Wwz21SxuMaft3BBbtNbb67by2an+ra37r NxEM6IHfhD6Rk/+3cpqsQGiNXYxtW03U/uhnO17kob9B8Fyj/Tvg89CJsSDsj+2HHmpz21ZwH99r 5R5jFX7Gv77T/tZn2un63dccLdh/6AK5umerQ0O11WetvLTN77UvdHOs8uwHQ/nzbjhnvH03+hmy 75a1z5wbK+ike7peK8f43BiEjwZ/x3iEPtBZU4Wx9EKVh26Fr2/hPsbUEb+HoWTkc+PlesYuPosY 1upE25duOxoNXDfibfg20L6w37YPQC5hX/4ffhu0T/+0r71ejGc7xr4X8SB0drzsKqA9+ube/g/k p93aF/YVsuy2t7C1XuPcL8hAX42pNjkiZoSs4zzZ+v94jPFIMWoy958I5VNTB6p73QaSSCQSickJ wd1Mg7VgyFwi8WRDkrk+oOxsms20UmRgiUQikZjcQOZMvZueH48nbBOJyYYkc31Aydb0qtJylHwT iUQiMflhWoz/bqdkE4knC5LMJRKJRCKRSExh9EXmPDnj6VNPEeWRRx555JFHHnnkMf6Hp5PbN4UM h77InBt4otNLRfPII4888sgjjzzyGP/DA5devzJS9EXmvDPFG6W9VyuPPPLII4888sgjj/E/FM68 FHqk6IvMeVeLxaPe85JHHnnkkUceeeSRx/gfuFY/r0DLByASiUQikUgkpjCSzCUSiUQikUhMYSSZ SyQSiUQikZjCGDOZs/eYDYxteOxYd911Z9iv1P9/9atf1XM2yLZBby94sML32j3vbBD+jW98o+6F 6vc22LUR8nAv7LVvm82uPRHSwm9tmu96m2+++cCnw8PmzVtvvfUM+wK2sImyzfrtzTYcbEC91157 Dfw1HTY/1jd9/PGPfzyD/IaCttggfZ111plhD0d9XGyxxWof99hjj773hjNHb5NobbF58tprrz3Y L//aCsdm3M63h82ZY1Nh4+Ma2vCFL3xhhg2gjakNiy+66KL6N7nZFN8+di3snWjTZOPU6gTQoeWX X7787ne/G/hkZCBn40/W+++//wx7aA4FOmSz/uuuu27gk+n69dOf/rT228boBxxwQP3cW+V32223 GeRit5Cvfe1rg1sI2WPw61//+uB4L7zwwnXj9Xgj/fbbb1/lS/bOk9W1115bz4E++6372kx7MsIT WDbHDxnQA5uT2+Dc5vSTDRyfcSJX/qtfWKxsnK6++uqBT6bD02jGPuSw0UYb/dsaGK96stm78zZg v/DCCwfOlLq/I+ccMuQbngw47LDDqg3ok77xEf3ohVdksT+/C9k62JLdHQLsw5iyJTLuhpe/h+wd /A37DLBFG+13xyzXtfG88ebrxAa7S0y2XSW0z8b/4Z9spi8Gt/4E+GSf2zC+GxtuuGE56aSTZvDB dPTb3/52lRk/PNLXZxx++OHVB7S+dCzgl/mV8JXLLrvsDGO16aabVh1zvjvmnnXWWYNxTN+vuuqq gTP946abbqr7/nbL70c/+lG9Ph08+OCDBz6dDr7hK1/5Sj3Pxi+77LKBM6PHmMgcQmEwP/OZz9Tg 7Xj/+99fB8zbtoFA55133sHgTgm6g7OnNt7+9reX+eabb/CcQLvjjjuWF7/4xeXnP/95/f0mm2wy bKfdl1OcY445BpUYCJrhaishG+Ajjzxy4OzQOOqoo8rb3va2Gjx7bRp94403lv/93/+t+7UiIDMD 4mJvQHsEBpAKcuFIEL2PfvSjZdVVVx2WaCB8r3/968sb3vCGwa3FbPD74Q9/uMp4rbXWKu9617vK ySefXM+NBEihsaMU5M0RaM+KK65YN1DWV/Kba665Bsc7jm233bb23/ghlO985zsrEVx88cWr4w4n edBBB5WnP/3pg7InVwrNQbewcfHKK69cXve611UnENAO8nnta19bjj766IFPh4frv+9976v66vfv fve7hw0gnBx5GltBFwRY8kAK9fvLX/5y1SWkz5hJSkImSCqDnW222ap8wJZwT33qU6sD8R32Qf/9 1kH2CyywQA0Ozu+yyy6DRJcDCOdDrsa5n6edZhUEyd13331QDvry6le/urzlLW/p671JswICC+JJ D1dbbbUq++OOO27g7MggaXra055WxzGw3XbblTe/+c2V5IUcPvShD1XSGK8bYE8ISfhH5+iaNpET WxRwnFtzzTXLO97xjqpTUx0I0nvf+97qH/RNgtKPXvBpfNv8888/KFsHWzr++OPrd/ggsYivR9DF F3EkNlyXTCJ/Et/4vbHgh8OPL7nkktV211tvvRl8v/bSE+ONzC2yyCJ1DHvFh4mE9ompP/nJT+rf +q8//EYLPvl5z3teOeeccwY+mQ5x6lnPelYltVFAQXr4qNBL/s84jmT8xBPxHJEaK7QHSeKfjY+2 IHcSbVAEYC9rrLFGve/HPvaxQULHZ8aY+Z3rLLrooqPyTWIu36FfUcwAcYZ+uT6CZRxCN0888cQa F4yD8wsttFAthnQXNPrFmMicTGTXXXetPwzImBiabFXjCImzBA5ep84+++z6N6NZffXVy1vf+tby whe+sAaqUBpBG7lBdOKz4WAwGfjLXvaySrBaskYhXT8C+DLLLFMD4lCkCdvG9BGXl7/85TXD7lWZ E9if//znV6dgYHtBgDdwr3nNa8pTnvKUOoABwR2hC8iEfG9mQZrToKxIwTzzzDPooPbcc88y99xz DyrlggsuWDOGkW5f47oUXiUyoK0IFbkJ0oxXtXQoINNkglAD8qM/QchUx+yPGFUlSiy76pWt3Xbb bXXM9MO9gUEwQgo7Uhg3icF73vOeQVIpsOpbr6eFfB8BQeKf8Yxn1CAbSYTfy3Cj2njppZdWh8Jp dAOx9Tk983QSkO+rXvWqwb9bsCe2g/T3wlJLLVW++c1v1u9JTty33+rkeIOuIKrdVakWgq8x23nn nQc+mTzgk7QtHDGiIaj3g/3226/6HD4PBEWBZLnllpvB9iSGr3jFK+o9+J199tmnEj4+FPgr9syO +U7ZfFsxQDYlcGN1+hMN9oBgjNSvd0NSIwC2frQFG0XKBNOAZMs48XHsR1xyjVZv2TJfpWgAAuNL X/rSmogYuwCizicYb33gD/moXvFhIqF9+ojsgHiKzNFNhCJwxBFH1H7HbIl4pU90VYyZNm1a/RzE J4l6zHqJUx/4wAeqHQ0HclV86OfdaTMDf95LB/hG8V/SGzCW3/rWtyqvMJPm/KGHHlrP8ef8bls0 GA7GWgzWd0Tuf/7nf2aoCoo3ESN8VyKLB5kp877eQw45ZLDghZuINSMpLs0MYyJzvaCSoFIhK3BB RuMzoCQYMdIFOiuYy5yWWGKJGriDXKk2MXjZxEghe8WIGbLMicACqjE6G1OYpicpgwpQL3DuDFZ2 wvlQbooQEKj1ERERDATZoSpzgh0hyxxVlMK4egH54rCRSY5C8I/MKkCu+qJ9SImKmvbIkFQfY1rU 75DW0WQcAYoui9ZXWc9wZE67yZ6CgvFEMJEO/1dNGymZAwbHUExrIK0MQsYcBHYkEFAFQroR5I2O rLDCCoMksQUSiZCSp8DuaLOuFnQYqeqlp6ZPJQNRHRVEyEWC0guC9JxzzjkDmQ5wAsZBpQHIMqqm EwnjKmC0waEFWdIZfW7tZ7KAvdHP0CfB4U1velNf+hVkLpJa11QV6pWQ8UNxTiKnYhTkAbkT7FT6 eoEfYQsRBBA9SSIbMoUrSEmWVFoE7na5huDCybfTiBMFFXJtHS2CzIXcuoGUqHAORTBMEyoe9Fqm wN+GLkvmxSV2J5Hi22CqkjnLoeiXWZuPfOQjg7oQZA7J4FfoilkRVWCEzt8B8UVVqY11H/zgB6t/ BTYuGaWT7MAUtLGWvFpqwh9qB7mKiVHY6RdsgC30mp3BMyTMwTtAwmTM+GvEHCENHiLJFHNbwj4c 9EfBAudQQXc9yUAvaCvy6LtiQDcsCUPmVJPHgnEncwIkUkZRrI2gTHvvvXc9Z+CUJK2NA98JoiFb 9d0gcwKbKT0lUNN0nFZbweqFYMa+hzG389SMUWeDvCEH2PJQWQICoG2ET4FV5tpgxIh9hmw4r41h 7N1Q1RGMkSGDhkh2gwK6HmIYUynuga231RcOGslgGIgmIkGxXF87VAPCSBkxeY92Pt5YqCypFrgm 4sNIEVLybI9f//rX9TeyIoYRhiITRjq0VYDkQPshc/rFWBBvTkSiEEFzpEBuyRYRDDJHhqYKet0X OY6x1H96003mYv0gPZOwRHk/QH8ZlnuETjNq9+X8tEemSA8DSJ/gzumQKfIZlRlVXw6DIwywD/Kb yOkdxEMbhiK7ljqQEaIy2cC2Ze8SogjEgo+A188amm4yR0/ZYa9EgW/i58KX+RcZMN7+pVO9Km+S W0kMWwL2KMmwXEBiIpkUeJF9PklFKZJZNiSYCOKxJGOiQI/f+MY3VnJPRgIi39cPkBRjhoS3Psh0 GiDJKp7IHJ/IztrpafHI+e61Y91wTaQG2eFn4/oSsqlI5vge+oN0mCGL/kgAkDkkl6+KaqVlAJLL dhbEtczUWEcHvhvLCdgTOav84QHux5bENDqNNJm2FZPMyNFfckUi+4XKoGoaH2ic3D/iHN/tvu10 svWmyJ94qp38EXvyW8TSWudIkkYCNhX3ow/63MsHSg6NgbjVHYct3SEH8kOGY4nZaDGuZM70gIFW gYKYVo25ajeQMXEqLRAUgaslc4LsM5/5zDrYHK7snkPi/BjQzIBIdJM51TUCDaIjc5UldK8T6IYg bdBbMuf+HCYFoqTaTiGGInMBSotAyli6QTYILeXinGONVguykYlQUvdlLPqJfAjoSAXnFX0U+Mmv 17VGAg9YcLxBvvVP4GYoxqQ9YmqQg3zJS14y6AC0SxaISCHI/ZI54DDohikC49YvVIdMuahiBZmj g9ZRtNMsveA3kpNuQ5UUyFgFI7oZOh5QPVCBaKvD5GcZAOMlM78lK5k+ouvfF7zgBVUeztMVyQyZ CoKt7tBBjkylux8nNB4gQ5UgwdjYsiOO2d90JsBpcura2WtaeaKhHyrXiEEQYmSK07decqToJnPG jH716rMKt2DGN9JLC/bpmPH2r6mbXkRSQqfaENUDBKNd52QZhOlASRM/RS8kCvqlXcYJyZloCKYC eqwT1i4HexkpBHJ+jX2F/3GQHejnc57znOqT+R3+Msgd2aiYq47OzOcAEui3bDOqWQiOOGcMpyKZ k0gCvaNPKmx0CpnrjhNIH51CViLmIiSu6TrsXaLNnxtLfqqdLSAPySyiIyaJCfxbVMzEQ8lIxJd+ 4Fqqq/Tc2LsHMhPFGUmZMedLtZG+uJf1sMaQroi3fstHIaHDxe9eIBe2ORSZ0w73l+CReeurfZ8/ p6faEAR5tBg3Mqe0L1PCgMOJIV5uEJU5N5DRmHdv0YvMGXzrlsIBCQyCL8LiOs6FEQuYbdVMBjCS ypwqCIFyMHEtBKh1pi2ZC4evAigQR1XRQLj+cGvT3GsoMhfQN99Rku2G+2pLMHwyQA6A3HpV5si7 OyMYCY455pjqLGX68bSsqttw06wcJLLXXZmLxcejIXPAmTLOXgYzHFTRVE57VeaGm4JmHL3IXAvj H1PjAUaMFLTT+AyZY4yqDEgIkCHtEKToX7RR4BeUXMt1OKPJUJkbKZmjL9oYUzCTDXwKh96rMjcc yW/RTebYiIw77LCFZQv8nLWfdEEQDT8l+EqeTMW2YEvWFUfCpN0q4RJn/we2hWDQD36IQ6cbgrXp SLMB3dXjiQCCIHiHfLVP9adNtIbDcNOsxsE6plaObJ8MyUC8UBjolcgHaQE+nU9lex6gsnyEH5PE 0fepQOYUT8Jn8HmmjIHc2a64Sxf5qpGQOfA9cZ69I0X8siU9pqfZUvtEMT8hFovx9BfpQaZAguoa 9LRf4AXiaMRcD1VIbiT7UeHCA/hmeiB+80WqwGI/fx3LWbSbHYqn/cK9ZkbmAggdvsGnd8O6ctVL hK+Vc78YFzLHGZkCMiXVGiQhCZix8FlH2jVzgV5krhc4AQaFCFAmxubgINv79iJzAorKXExhMEpV Q38jonEtfWjJT0vmlFYJW/Zu8A0QsmPqlEIrW+vLUBgJmaPgqogCQgtKM23atFqd4phlQtrvqV1G iihYe8j5xJo5MhrNmjnyZfSMoCXJQea0byhwEhwbhQLjqRy+xRZbDFYWR0PmjBeDGc3iWQZvnBCn 0BN9E0B6TYW1GAmZ01dOLxYFGwvTM4LrcKB7HqDpRbgFanaFGGg35xsknyyRZO2bSMxsmlX1yFO/ Q60BmwxgM+1DRBz9WNfMyfKNVa8xRSpUheKpaDYc9ipp4i9jKpWvQRz4jJjtAH5IQmy5Q5A5CbTE jW+gK9bkIXvItYezTHePdRrniQK/LElXqRwJxBEkZajXyKhSkmH7JL81Uy960YuqvSNmqjrd1XQw 3aZyR4bWzPGnfDJY28QvqryKFex9MpE5bVaYCJKC4NCJeEhAnKBvAbqB1IgTdKl9LQ4MReZaIGaI ILuxHs31zTAEJB2qeC2Zi6TXWJDxzOLJSEG3LcXhD3uNAx+qOKEaqOJKP+J7sXyIDvaLkZI5HIXd +7cboUOKVWHPo8GYyZzSIGPEwLvBaCi+wAYMhTF0vxKiJXPhcJRsOcXIbgUvjcVee2W8LXqROYrE wca9lc8Rk+EcXEvmDD7BC1IcMQWgiJRZdokghOH3Qi8yh9y0CzWVvBHDbsKnnYw0pnQRINcyTRfZ IyeE/Qd5o7AcXj9TXDIe5CXWU7Rw3eEqc8bG+h1tAoaL+HIy0P00q/Ek2+Gqmp6S1jcOpl8Ifsik ynHoDv2Q2Qe5GwrdZE5/6Fc8qaQqpg+y/nBSCCcS3W0T9Nwi9nZhvMpQjJkMua3aMUjroCQPQPYO tuD7pg6iWjNR4MjYba8HILRbBSOekpuMMJZtxdd49OvUg8yphICxERz5h3ZaxdNydF8SCPRDFTAW Pgs0dDT8pWDLZ7X+IeBar3zlKwdl654Cswp2BCl+WfJsicFo7OaJgHXTCGpUkyXTfKdke6QEejgy h2DwP+1DSWZSVLZjPBBcdt0+gUhGKqPaglj7jetEwuczJE5CTa76MpnInPZJIPkIICc+QtyFbjLn +5JD0970spuM9CJz/J5iTMQUsz98FL9u/BCSNsEkPwkpv4tkINSR3Lm+Sl6bqIwE2mK6tCVGlkWY NubT+Ud2HT6J340118bfUgT+Onw40utvn/eLXmSOXFX426Ua+AJS6578BBlEzEOiFYTEjOH4yMww JjKHuCBnHBknonJmcA0Ox4Rl+sx3fO5mDCQUIyAjYxC+F53hpEwhIi5+q5EUk9IM12EBE9FpB5vi uBYHx1kyZFOJw0EfGa4MZ6jAj4zIqNsptV4waLFIOYCAceD6p5+clGoGJ6OfAnz7NFELhshQAkgE GSGfAgbn1ausOxT0lTF6DxzDj/FUSqeoqm5K1Zyvz9tDeZsCGXPVJgQlFrlygCEb59r3zJEtsocI t9eLKldAJZKxjpYYMCyZERKv9M64w5iBAcjku3VL22V0kbUaF04BgdFO503ZtE/nmQaiL+17DoH8 3J8D81tTE3Q+KgEqBZwt/XQeGecMY6F2LMRWYSRXxt/PQv0nAjN7NYkxpc+c22SF6plM3RouNog8 9bt2xVqs7vfMIWAcvPELnZZAIBExZuzV3+7pPNsiL7qmXexCBUkiEtdA3tmp4GgWgT4gNWyNb5H0 RDVdG7zXMpY4TAbE8g06rD/Ih4S/nzWKgrRpKTGnF/gga5rJ0j3IRrWVfUXlQzxgw+4fshVvxCHE GCTMknVV1IBigNkQsg4yxxb5k1m93KEXVOEi3opJ4p2+8mtiAl/Vgp4hbPS3uzLH11rm0SaMbEPM ISf3QEJU9oIkx3p1MY7eikHG23mVTUSYnvuteEz3h5uV6QaZG0vXtTTKtZBpcS9sC8/gS50TY/jS sGu65rOwO/HW+dHM+pCr6iMZhvz0lXwiRvCD9CPkiMNoL9LtvO/RvX4fBOrGmMgcBy4gyUAJxCA5 kJsQnCAu0Ptcp3o5fSyf45GptsE0AqffypZHSkwEGA6uuwIoWDNQgTaqHcPB01/KxgKWCk83tJfw KOpwFUPBnANq1xWBoB/yQ1pCuWUYpgcik2/BcXgiRz9bR63vZKaP1ir2avNQYAimaYxfO56MhOzc x3qIGJP24PQ8vRxAALVBsGoJmPUWDDCyGCQo2tteD+lrofpB11rH2i8EEuOvb65PvgEVGQ6i/QxM bZtCMHYB5Mo4aSdH7jstOEj97+UcBNqQn99G1hzgDDka5xG/7ml7eqb97AHRn8zQt36z7okA5y7w kasEpl9wnHS6+8XXqtzIfui0qkG7bAHYhqkm5wWAmBq0nstv+db4vQOBDx+qEiQgIiQIi8DJfoM8 qxSb1o2K4WQBO4x+0eNeMWFmEBfEim4f0ULA5x/dg29RKemGCjkbC9n6fzvVqyLl6H4CmI0iK0if +/CJAvpYpsjGC/wF2egPPx4vwObXFDe6Z3y0mW+lJzGzEOBrxR7kuS3AiFf8vXuYwemOe4oPdFKx QVUYuXQtFWh+E+H0W/rdT7GhG/wu/YlrtbNi2qTS5pzvxExQgH1FHxC/4R6EHArkYnZN8aONEWxQ suX69I8vbGWI0IWfl0yO9v4txjzNmkgkEomJBWKn8iyoTOZKaOI/CwiVWZpe60cT44skc4lEIjHF oSJjaYnKRz9rZBOJJxIqfpbldK/HS4w/kswlEonEFIfF1JaxWJbRPZWbSEwUPIhg8X/3FG5i/JFk LpFIJBKJRGIKI8lcIpFIJBKJxBRGkrlEIpFIJBKJKYwkc4lEIpFIJBJTGEnmEolEIpFIJKYwkswl EolEIpFITGGMC5nz5mNvMnd0v6HfW4+9mdk5OxsM9ZZsOxq0b3AGWxx5q7qtwfzev7FtyMzgnt67 1P3yTH97eaF33thzdaTwqL83g7dvcG5ho2znR/IGcN+LjbUD3gulTfpoX8HhYHsW3/UG86H2A/TG b9cazTun7EUY8m4fKdc/7fcGdufbw24H7U4U5Ov35N220Zh6c3psjeZ6vtstO7+hL853w3ed63c3 iHb8u9/qPhTopfFq+0APyEW/jUVcy+fa28rF/ehw6LYdQ/wd401GfhO6RW+Na+i8XTnaV02Qld+6 72R/n5i+6IfD/ycryDf0YjQ7jNArOt29nZPrGsvQhdjjswW9og/O+7fdsYWu2G3EOW17srzegb3Q 69BxfevnRcdkJubwOSFbh+u1MYQ/cm2fk20v2H0ifh/beAXsG8uHdu+i4zUwxjLGm/2671DxYaIQ MTW2UrQrgv5073LDF99www0z+LgAf8PPtH0jj5AbuXZfbygYd/fvdZ/RgF9ufaW41MtXOt+91WZr m2LJSPvQC2RDzt39IlPX14buvcfpZnv/kXCH4TAmMqcT9qezZYdNnh32gmv3uHTROG9bj3Yj8YCO xRYkrVDtr2cDYBvZ+7195Xw2nNHYusO2Te12L4RlQ9yXv/zl9SWGtjoZSUBnAOuvv37dY7FVlADF tt2VrXja7Tx6gXOwJ9svf/nLgU+mb3fmb2163eteV/eIiy19usE4bYVjX0DysCm07WZ6bdllC5a5 5pqrbuk1Uhgz42ULLtf3e+21RRjon61HZp999nq+PezHF1uSCNy2RrLZuP1UbbsS+mAbE32Nrahs ym9rn25HSsHtn2vLq25Cd8ghh9QNyu1DOVJwWPaopEuxF2y3gXeDXG3LZR/J2HfPZ8ZA2/TbZuf2 JqQbztmPMGSijfbse+5zn1u3WwLB2WbT2uA79oz0G7+l17aWMb5k7zzbQTTAPb7+9a/Xa/qOrbJ6 jf1kAKfNLugAmZPhSBKxWQ1+gX7yM/TSPqGRaIwUtucznmwnQLf4DXtXhj6wCbYUjtu/toaiJ86/ 613vqvbsc4HBNkH2n3RO2+zp250ITkXY3jH0Qt/sYdvPtk5izgILLFD3BA/ZOt785jdXmQPfbqtD 92FLDsEz/BAZiyXuHb+3z639MSMGCYx+H/tIB2xBKL4YbzYrNtjbd7xIynghYu+GG25Y/7ZVHT06 +OCD698BPpkOdu/NioyQs72jQybkpv8hNzGdPwydnhn4uXaD+7HCHtv8b/hK3AM5AkRO7NBf521L FvHeONmeM/RHH/rd+rIFnmETfaQtoB1k5/r8te3fwv8hx2RBX523b6utJEM3R4sxkTnBxZ6GtpAR wB2UHAEQnCkAgXOQztmX1Iay0SkKgNEics961rMqkQmiRrD2obTfoGAW15+ZwbguxfSbl770pXVj 8gBnYS80e/RRJu0MJe8FbUMoEAbBGMHpdW8OVyBgNG1W2IKcyIOsbDSsvwHO2x5xHBSyZ39AMupm 8kBB3Meeg2ThBaGcTffei+SOXLqX744U7olc2afU9VUCtMc2QYxD1YLckO4YjziQXjIjI3sV2sRY 9cgm5DY8jn1KDz/88EoGyQ30ndHFZvIBfUD8EXgOOvRCG+x1JzCONJv3WwSZ4bjvWWedVYkwpxbX beEzY8Hg6JENu/UFjKN9AAUK/bbnniBrb2FABEImSKh9XRnzGWecUc8fddRR9ZqCuu8IzkEeyI8D sKchR+o8nQ5Hyh7osI38yZUMQo4TBW3XxtYR+j89IhdZsYyZPnobfC95TyQEb3ZJZ2O/RmPWD9gY gh5jzAb017jbrzj0gS0Z+9ibmd0Kinyk84ItHeWryGz55ZevCahz9jTmR9lK6MNUhYSFLOiGvrGB fgIp/ecj7X0Zso3r8AnsyHjaEYOvZ7NeXEueUc1G4Mna9+L3SCa/Fcm0BIQPtZdym6gjAsbCeNNn 57VnZrFpIqB9Ymrsxyre6Q/i0VaR6ajkMEiWeKXyxn59X5wJ8F/kJsklMz6JzYxkk3h2hVzR5fEA nmHHE+OrLRIoY+8Qp4yJPoljiI69vUGxZ+655x7UH/xF0iUujBTGXcwTo+aYY45KDCULATFKkcb1 6ROyTFZ+pxghAUACndcHhDJizGgx5sqcDhn8gA3sKYuN9jkkm9wGeZHhLLTQQjUjAo0ncBUpBAyz DnaqWrfeeuvVCprBGQkIhWBluCpF7cbvCIHrR7ldYPnYxz72b1MjAW0zwBwyMsM5d3+X43BNhqCd Q03RCLyUBwN//vOfXzdlDuhnWyHcbLPN6j0jS0KwEAvg8Mg7oC+IESLRsnpZBgL11Kc+tWcldCgY TwbRViZcmxyQD4Tuy1/+cq2kDQUEhiEZO9A/mVE4BM4A+Y2Nj13L9xHnbuiTChpCF84C+eVw+zE8 bRAoEaFw5u6rotarOkfmArxqC7KsfZF1CaTISzhuBkyPEOBuCFYMzGbUZAvkoD+9HD/9QjJVa3pB NVBAAm1gZ/1UJ58I0A8VuDahMDb0z6bvAY5M+5HUyYQtt9yyEqpIxMhT22O8RgIblXPmoZN77rln tRkbkrcwZgKQZIiOsVN+LxIum6ILvt6az+fxC63vQzZUs8LPsI+Y4qPH/BHb9a/ftn2IzyYDEVTF 4h/6kXELZFccaZPiFnRMMsG+A2RF/uHj2CCS0/o6/pUth39GssUSPlZiFz52u+22q8Gazrue2GBc JxuZ0z5yCl/MByqasMO2kKHowdfxV0B/7afKvzzvec+bgcytvPLKlcgGcaFXqsfiVoBu00nkmr+N aVrfQQSRcTpMd0ca27tBj5F1xLob5513XvXbZi4Cm2yySfVT7qmyqH+RCOMjYnx3xXJmEFPoGHLK X2hLFCxA34Mv0Ct2Tp98hi+RUUBiMc888wwmeaPFmMhcL1B61SOKgQCoHuyxxx71HOUSJFXHgEK4 MeK03HLLVcULZ4O0rLTSSnVqzJRNK5yhILC4p8GSVbSDIzNz/SBDlBnBGoqAIRdRxTNoyFpLWhm2 rI7z55x9Z6g1LZw2Ry3zN63WTrMGOALZ3zLLLFMdg766x8Ybb1xJSDf0g9NHhFX1ApQEy6e8sgGG ORbsuOOO1ViNp3UiyJzqgIyiPYKQGiv3D0KiX8ZCVub/SvIjJXNARxBzmYxM0/c5pX7AiVNyhCuc tyqxa/aaGkeeVdz0md4IPm0JPUDWvodc+rcFA6ZjSulkAu6NPLCBqLxxhgHriBBfzsU5QScCHoco GbBxNfhcIkFf4jsTAYGNPkRVCk4//fSqA62e06N3vvOddfwnE+gB/Q7fwn+x0UigRoIgcxwo0LPP fvaztbrRDXZAXxASAc8YSiyNt3OIZSxBaGGMkQxBg4/0NxIo8RMg2RDbZPcSaqSkzfRNz/OnErKJ BJ+mj1Fx5Mf6Dehkx0caO9eII3wQPzvvvPNWMi1uOFqixRdLwHtViLQnrsM/CMB8BwKjQAFTlcyJ pYgH8kDHI24osgSZMxbipmqSBNrnEugAfyi+81UgJiJCkkyy4K8VcCQd/uXrkChjQG6mRZdYYoka t/gDMXY0CYZqHL1XrDD2ra8899xza7tVDwNInzhkDJEu9smX+i1Sz1+1cXQ48NvsTNEFaaTTvWIE XTrhhBNq8qD/LfRbuxWhyDAI8mgxrmQO68X6TUlqKCdnHUKs23IDzisCEsUR9AgmyFYMLEdHQIKh gaccGkr4QyEcssCKALRkDglwb8IDjhPZGarkqx3ahgj0InOUE4lD9pTjXX8oMhe/49ytGYiydwtt FchlgghYZIHu031d5EDWRGGRyag2kSeFEZCQJXILIj0aGANEMsbF3+Rg2tm124NDAyRFdRShBmMS UyLaqV39kDlA0unCS17yklrSb7OakUBg5lgEsyBzsnYkrdfCaH2NACMTZSTdhkoWricocFYRAAKq 0qZfONCAdiBf9M5YkxvZCLAcER2gH9YZOidQhy4Yc9WeIEi+T//YWoz/rIJ7s1m2wWEKbLJcf9N1 NiqJi6l2n0vW6KvK7GQB3WS7nHz4DsHF2ESVYiToJnPILQcdvqYFMosYqNYD+ViHarzZmgAcbWlh iYV2ai8ISKoCpoj8n82b6jWVZMmCCm/YoPEQTATxfonTeIO/pAdsgD7rAwLa+tbhoALKv6uYhf9x sDdAQlRmVDL123iydTZKd8UHlZChHooIGBfyRlwEf8sr/F4SPRXJHF3hbxBWfYkiAZs0JmKh/oT+ 6bfPWzJHhxAydsKuEUF+SgLDD/GFloogRogTwkbW4hi5Pe1pT6sEWSxUDHH90VSkLNcRE8Sa8JXa xlfyTZbGqHIjW8Zdu3xHX30H4ZfghN3x7+L9SEFOobNI3VBkjg65r/t365t17doohrCBserPuJE5 AdCAGjzVMUAkkA6L+8AN3JBSteBsMPuWzGHeBsrCcY7V4IXzMjgEqdTpMAiEG6A03WRONoDMRWWO oXMoSrJ+H9dy3SBSINAaiJbM+Z7qEGVEDgQqpESAnxkMtsy6F5nTJ+dNR2n7zCpq2osskDPDQY4Z oM9kTZSG82coQaT7BRkIDMrRlA4QipCjtraH8QL39pBJOADtEtQFt9GSOddgFNYb0YN+gUQhFxS9 rczRxeEcut9IUPSxhaCIZJsykH1yDG0Qti5CQJUlBnxfUEEs6bSgJKCRARtQveIokQP3IzOyUqnh DH03dIe+I3Pu3S+5HSvcTxWI/SAxyD0C6m+VZG0TGARAQZXDQkRUBSYTmWPP1m+1ZI5jFvy7F4PP DN1kTr8teO4m+CBLZ6OqRpHcGlPjrWqLFHRPz/JBEkpTNUEQJTh0JZJbvsd5yYNgJnniFwRc1+O/ unV4IhDBXzXDWmgklJ/qNV02FJC1WNqgT3GED0FikAZyRpZViungsssuW+UhHqncRXVpKPA5qnP8 PQKoeqKq5/dTlcypQgP/S38kF2yy11o2sjNWfHnEV/5TQsnWHfruO+K0WGpc2pkTVWecQNwV29yH zwQxQ3JuKU2/kKhovzhp7K0zZoOxtIr9InTuh0ziIfy4mMmf+j9f5bemf2Ns+wW5qDIPReYUN+i5 GCfxbteGi4d00AMmYqQC01gwLmROhwwaoVGOGHiBl9IHMRG8BDKdb9GLzAmWOt4GKt8RDM3xy25l XQ6stq1O9CJzfquz4QxNWWivDEGWEdfSBkYQaMlcGCuHHAPjM45WcKOc0fdeMNhDkbmAUiuDEGSG A1mpHAlGHJkxQDAFKX0QYClKS05HCoFAcFBxiT5RzOHWzPmO3xkDCDJH3v7f7zRrQAUSmWnXJYwU xlyGTVZB5hDVmU2NB4Yicy04S6QlqjnGxQMSnFjoM9Bp07rtFJ7KFnkwasG/nZrTNs7I9fWhex0a GxBsRjO+Y4E+0VNE1bgIZMiFv9tlC6blOXiy8z1V9n6mMp5o0Gukh69oyZwpqOESsxbdZI6u8Te9 rsHXSMBUBvgBldggjmyHrQhwAf7HwwKmgcJG+Bw6gXRGu/k/diTQ+r/F1a5F9hIXRBHJm2hoA78Z 7aZLiBVS0KuS2QumWQXqoR5gMw78bLv2VPKOdBgTySnf2Gs6m85GLAkyZ8aJT1X5c5A9/z8ZyVwb f7RPzGvJHB8CxsHMApITs0IjIXNAFggKe7e8IpJMRMn1W2KOMNF3Po8OmnkKH2EsyFhC2i+6faVx U2Wj61F9dh+VYPYlMTZGdGO11VarsZ+9gX6qWEbVux/wvTMjcwF+3j27n4wG+saXS87beNEvxoXM YdacTQToQDd5E8iRMc6vRS8y1w3KZGqMEas6UTzK6lAxan/Xi8zJWGXBMYAGlLOj1AJsXMvgtwSy JXOURDso6Itf/OLq9AWoF7zgBfXBBn2NClUv9CJzrZEAR4cAIxq90H6fQxTc9VVVzhoC09HugVw8 /elPr9mLCmk/SuKaHGz3k5JB5hxDgVFpf2QZ2iiDk0lpuyywm8xxjLGubCgglwwmXtPRD4wxmasq hqPmpGWTKl4zw0jInMyOvAVooE8cg4rtcEC2TR/3Wi/BYQn2iKfxYx8cMOgHEi8jnUiwNeMXfR8K sZh8uHGe1ZAI0qsg2PREMtKPvQSZiwcg+B2BpX2aHlzTFCwfptoj+bIOMhIKuqiqx7FDTMurGrTJ jgCCFNI51wFEiD9DmtmczyWnkihOXgI6WSHYs82oMg6HIHMSpl4QH/igVv6qQvwOmbIrJIUfj8Af oKfxGgs2zE8EKVcRRH74WCREvODTJguZ02a+AnEFRIu+BblqyRwgOZZB0Q/kltxa9CJz3fFKlc1M jOU9Yp/rtcUa+sie6DadNVsR96H3EpXRkKhu8PGSZ1yk13SpMdI28ZVfZivkBeKaqVYxvl8MRea6 5STZZcdmbLrPKTDwofhJP36nG2MmcwxKJckrQbphALFuDQWZlDKvgN+CERtQBhEd5RiVxqMkaxAQ J8ErqitDQUbmPu175iwWNpgcr/vLsLD44YDMUQTfj2wS4yesKNkaBDJAVGbWNoONALbVFURARh0O 3fSDaYdYU9NCJkQJYyGuKoeggZRQZkSUo3OeASMJSJD2divQUODgGF+v6TBKbyxjPHtBO0wxcbZK 6wi8qVptAw7WdKnPgROnI0GyhwJHhNhwMP2CwakOyz61w70EOp8NZzyxljMMVRLB6GMxq2ocedGB GHvf4exNm7agw/oaD0uQFaJo/OkZZ8fRROaKAAvYkZTILgV6U8Pk5/9jfQJqrKBnAkbYKUiG2LOq FyASHK1krDt4TjTIVuJCjmyQrQuI/WDfffettia4g8oFx8o2g+ABu/B0YFStTdfRQxUL4Jv8jXgI SOyaH5OodUPFU9I2bdq0+jdfJKjyaUEqTEMi0NZH9XrQZyKgj7FGCUxtIcJ0f6SBjK7xt70eJAPE lr+IpJMfQhj58CC//Kwks33aX8BF1CRY9JQNOyJe8aGS1Kc85SmV1ElgfGaJhVg10WROm/VRwQT0 TTUo3h5Br+l6gF/ki7x+hP52J6x8raVOyEEAGTF+UWHnv90DMTR+YoOEBFEyDqpNzhsD/sz0d6wj FgviFVH9gMxV0E2bR9yI13TRL+cVYKJoIh7iDmIhGSGnbMc4g2IHMhu21A/IUNVNdTLkh/dY1mOW DPAb8dBnkgl2H8kAaAc540cjjdO9MCYyZ7A5i2c84xnVWXs61L8UWzlRw5A8Jcw43ypGIDJQ3wuD NvjKw6pNfmswBLMgPTMDpZHxtoFOgKFEFhtymAJQBM2ZIYifqQ9Ouhc4S98Zrsoj8HPwspUAR80g KLV+kqd1JAI9Wfh/TGsyDq9YUW3zXcQQ2ejlqBEKzp1yjxSUUfbAuLUjxpMiInfGiRye85zn1M/b I9ZGGnPlb2NpzGR2lD2CuDUNL3zhCwerfojRs5/97NqX9nphaAFBioy6Hc5Ioe2ybtfgxBl7m1To F93sDijIFX2OKVRrboxJyIYDsTanLfkLrPSru7IpkAj8gpffyuaQO1PH7muqVUWB3JwXWDjbCED0 lXNkE4xfMKMnEwkkVFUxKp5grCUjnLh+aCvHawwmG/gFgZ2t0I2YEuoH1qWqzlubFUDcOVZjTAYO BEQCEeNJZqookgzn/YsAaxMdUu1XXVd5j2vEOjAypl+qTT4XKPgWiWIkFYiSGQSEu1uvJwr8tyUk gp9288cSSHY1UnjSUlLbPlzUgg9iS2Y33IM9sWGfRbBkN9Z2tX6HLSN04eeRNOS+nS7XTv7QdyXX rsd/KxRMhmlWfpps9IefUKlCrIy/ZILfaoFo8FUenonp/gBfy1chJSE3PghJjriMHCKL4d/J2PWQ Jb7d/eiv2OU6khlJqN/6jhmy4YozveA+SGX4SuMhSQp/yP9Isp3jfyQ2YdfGELdQVHBekQD5H40v Reb4D5wiYgQ9QBDD/9Exfj4IsNkJM5Fio/PsHtEejj8MhzGROUriR6pTWLZBdXAyQTB0lpL4XJm6 18DJQg2O74XSgO+qQPgtcjjSzgowKjDd3zeYlN1avpFWeLRNsDW9py/d0F7BzPnhjJkTN6DdU7EG V5v0U0CICqBru268xBI4GgQ55DzU1ISAgPlb7zFSUHLZpkpKtMdhDBgxh0AWgkSci0Ob2qkg8nUN 8taWAJKuj4wbyM712vs5uh9McG1tG43hB+iFdrpXNwGWvSHWrf4BvTQtEAEYjIE+aCe9F7hbkCPD jjJ+N0wx+612dP/W/cKWrO3p1jn64Lx+6M9kBeeueqQf2jpZKkO9YJzCL0QFuR+wQfrQ6jnQ8dZW uqexAKGje877btgzX2X8+db4fXyn1Su2KUHyr6Uuqg8RlOipqbaxBonxBr3lu/SHbgyVJA8FchYr hqvm87PuYVx7rbXlS8g4ZOv/Lenlmxzd03Z8k4pryNm1u2PXRIHdRbzlZ8JHaBsfyia7If7Qk9bH AfmIId0zab7PXtyDvXT7KH6UTor3kmGEjsyQYnKL9tHtseima+IFriVmBaEEbRJrnevlK/no0EH2 N5SvHg7kyreJTd3yI1PX7+XnyaJt+2jv32LM06yJRCKRmFhIAE3JyvBHU2FIJJ4ImIVShR3NWudE f0gyl0gkElMcKnrWppq2aqe8E4mJhIdJTCOOdCYsMXokmUskEokpDks8TBNa5zRZ1sclEpabWBqQ CcYTjyRziUQikUgkElMYSeYSiUQikUgkpjCSzCUSiUQikUhMYSSZSyQSiUQikZjCSDKXSCQSiUQi MYUxLmTO1kbe8O5wofY9R55isb2Wc7arGGrXBY8u+177AkIvbPRmZi8e9HtbBHnp4HAvZ/RSSVuZ eDlhCy/28yZo1/GG5pHCdWwH1mvPN7AdibfAj+TFf3Y28BLDFl4uqE36aHeBmT3543098V2PfXsL eS94VYGtZ/p9Caon4Wxr4vre1G7blHgZov6Rg504nG8PWw+1uyDYucC4kXf7AmBjusEGGwx+164R 3tYdLxEOeMmj9ntjfje8pNE1uneJGA5egBnj78m/kbzkk7y92LHVW3KI7WQYj2uBl1b6bisXe6l6 91fom7Gl094A7ry22CInXnhpCzpvbSd7521J0+56Qh5+674MdjLDDiz6Rw/arfUmG7z01ThpK//V L7wMmD527zvrST5v3Q9dsLtA9wtW2YadDJy3o0f74m0v2LZLQehJbPs11eEl6LZ2C79O9v28uoL9 2/LM3rYhWwe74E8CXhpLbmyp3UIxIE54yXL83k4U7UvJ6S8f1L3rkBjERxpvPoRPtOvQZHuKWPts KejlvOAlwnYc6X6BLp+80UYb/dvLgcE2WeJmq7degBs6ayeFkb6Y3jZsZDwUB+gX/KZYFL5Sm9oX 8osrMf5eqt2CX+dn/Q4vaXf56BfslN/olp+tOl2fXrYv/gecwm4vcf+R7Gw1HMZE5pAbArRNDcN0 2N7DllNB6CiTbS2cs+WT9yB1g9Oz3Yo3mIfS+Jci2TrKlip+bzum4cicR/QFT1vbtFtZUTgdtc2X rZt0vN1+ZyggALamst9crzeVI022vrLFy3ADYisn2+twZAEGZvsT231QOttpceC9+qjv9gDVfvKw tZN+9CJsyIZtuchwpODIjJ2xcH2bTGsPQmGsvXHdPW2D4nx7CFoImnZTJDKxDZnN4DnrIKiCuv35 7GIA0YeWCILxsh2MbVLafT+RHu2xjVHscToScCD2WHW/RRddtG6/M9yLLAVa2ySRecjYm/mRMeOt 365j/LwSQtu8+TxkYqs1tmEcbHgOHKO/bdvlO3QaAfRbOm9fRS/ZtHef8/Y+Dr1CGsjKb8nV9cfD CTwREFS9xNZWR7ZFIsfuJGYyQGDjL/gFNshHDZUgDQVB47/+679m0FMJnmvFODtsct5uv0fH2Rgd d54u2SpJUBBcEJDwrWze1kWSxqkOQVSf+Qd9k2D181JZcvZOPdswhWwdZBvyYWf2PSY32y3OOeec lQyHDxf0bfJu+7b4PVkLrLErAb1lq+12hGBjdTHBPtj8Hd0W42LnnskC7ROPI97wW/oTeyYH+GRx lsxa2AbO1ovIQcRlftTWlSE3frAXQewFCc/ss89e49h4gG3RgfCV7CXIHP9jqyx7xbIxPlysBSTX b7z/zu/4UrG3F5kdDhJ7hMy2Z7GdF4hRtlVzfdzBvvOxnZd/tcm2Zs7zk7jJWHeBGBOZQ5wQD1t7 BJA1QuQQbZlBmBoMKm+cZuyvKTBir4T5zGc+sxpfkBiGsckmm9QAPFJg6hSNYO1r2QYPgd+A2mIE DKa9+9qMowVHK1O2vxuFRix6bdflDdf2UBQIhlIGLJyiUR7GpF8BW3rYZDr67Z7a3r39ByCfMskA cmWfUZ+1bWNwFMS9DjjggIFPhwcyZzza3yB3iDFF1T/BBrkeCrJdOkBegKTZN8+7hkB/EbEwLA7d RvNtRSLAMOkGZxmVO1VMQTHI0UjAEQu4SJJxlUFzvghvLweMuMq0OWzE036YEWw4LUHBFixgbAXt dr/dFjJXehcBAqG3qTPb6IZ2sQ/BohcEKwFGQJJNc6ijqSSNJ2wPRF9aUomskF1sdA4CCBLdveXN REPCZ+9IgYwNItdk3A9cg8+JjbONDf2it/QtwAfZw5WuuJfKj/1gY0NuQZWOuh4ZGts2wBp/hK67 ij3VwObttTyU7x0OyJy40PrRFnyQ6wumAUkWP8vHue8yyyxTiU6bCPOvr3nNayqJAYGRb7e3ZkvU zUQhEsbbOPKHgnWv+DCR0D5y4oMA6RITEKC23xJr/Y6ZLP8igPYr9v12BsTMESIe/o9+SkJGsge4 8RKv2Md4QBzQp26IU+wIYQqI98g7367AoR0qqsAu7RPbT7LpOmZJ7A9rv1nys41ZQBIeMzZ8Hjvn A8UiMYxtRzWQXrp/xMjRYkxkrhcIigLZKBqh48BV50CpURUjqkUUSiWCYREKMhel6iiBr7nmmvXv kWDllVeugdcgqi4hdwHTgK4fGQSHqhI4FBtWBeHkET59YLBtZY4R+w52bTNt34uMuxsGS/+0QSBH kIaCzBD5iSqX/eNMKfSCtqt8yHTbICnLkJHKgpCHscDvEQzjSXbDkTkykK2FQzSesmjEiRPVn5GS OWBoNiSmoAyBk0aclbZHCrpEj2RQISe6omLYK6NUbUVGBXV9Mf5DbfDvc0FDZbIbSA6nEVVIsmAL SFgvCNLGvntKAPQdQY/KNmeCMKlqTCQQT/Yejgs4eoFSYhBApsmpO/ufaLBFyWdUjk03caz9VFmC zEXFgQ23SWsL0z78ikSF82YbQeb4K3+bwusFNqXCRD9BMFDt4MvYiT0gBXB7TZrWp/cBOogstp9N FCRo4R9Gg+HInClbflnxoBeQCRvLq552wzSgJTqgCIGQIy+IdCRkU5XMIRhIh4CvWhS+MMichJ2P 2n777auP5Wv56laOYquCSRvr6HNU//ye/OikhFjCgkgj0ZJghQH/qhKStb2oRwMzf4ojZjW6oWAj zlrWEPB/faIb2sTOYkoeKZMksZ+Rgr8QI8RfJJEPGWqpgL4j0OI0v90NcsIhxjpzMe5kLkgTdqwK oyoRpW83YBwcJgiksfm0oETxgsxxWKp6gr2pXBXA7nnnbiCPhCWIUrDWWAlcZyOrtRYCex9KmZAF bXM9CmzguqdZGTtFWHLJJatBDzXlpd8GX5bunr3Wb7iXfgp4UeXhKATBXkQBOCWbGHOMMQ3AIDky AYaC+v1YoFysymA8HQyZIXAQ7RHZm2qh++688871b0ERsVZxpNRIXD9kjsMhf9UvmQ3y34vszAzG Etm2xkYbgDNBTNs1FgEkOSpx7klvugOzoEjGHISp2zYrA5U3xuu3QQxcl0NFECUqiES7xofzZfQC B5lydmQOdMdYk2PAfRHOXg5iVoF+GcNWPv6PzEnSAjJojjyI7WQAX0MnkIsIxBIvWXSvyvhQCDLH zoEvUAno5Q+QLOOPuLFvlQ7+w3hLwth6L52kt6qGlj2AYOb7yL9kw0G+khZjoqoSdiKJEiz42Ine dJ8tqnSRkTjg6GeKFVQ2+ElybH1QFAmcZ0cqL8guO2uTWuMlyWrX8vaC6Vn6QZ6qTxJSECynIpnj 8/hiekofIolAIpA5MYhNXHDBBbUvfDn9Qu4CriGGuTYgda4lFvqtRASxiSlEsYDOmoVDClWx+HB+ k90pcvTS9+Eg1otD7qF/fGUQTONqdkvCHuA3kXJ9ZUvsTlzxW+OMX4SvHQn49JAB+ZBBr+SNvbsP fe2eXsY9EFvy4St7LePqB+NK5ky3MtSYCtQR1YQIWG7AADH+FoibRYItmaNIStwCmCyCMZnyjMWc MwOl6SZzKlWIZVR0IrgMVylAODnbbjKHWAqksmNtR3KGW7+EaMn6EaRuqGxwEMguxRpJMBEwVBeD ECM+qk9kZMpAFh8L70cD12G4UQ1iLAL3K1/5ytrW9mDkgJS95CUvGXQAlJ4ic4oIUL9kDlRwjb+S f9ynHyBCiA9FDzJHBzng7rV63fAbyUm3odJZU70ckz60lSlg6CpwLVkjPzouoyQz+ogEyBTJSdXO esRYazXHHHNUR8PJ+G2rO4KIPnGGvaZsn0hoq0qQQGzsOFUE1N+qQs4LoBwcMqyyrK98w1izz/EE XeBEBRVtBgFbIGinoYZDN5kTyOhXVPtaqCrxZ+SH3PNRqnXG21hLfHsFFUGSPUdyxjaf+9znDvpD /giB43v1i2PfdNNNK9Hnd0xJqa5PNBBM7RYXJOt0Wt/Dh40EbMuY0Se/jSPiCt9naYwE3kwQWfiu WQEkReIpgA7nY2Nqzjiq4vMX7N4YGEPtmGpkjtyQe+Tn9a9/fY2H4jYyh8S1UGkyK9KSOYREokbe 7F1hgj+XuIp/5ECPgb/nH62fdh8VKGvzEBiwdgzBoqf9QrHAfemRtminGK0NxkS76JYHJMweWA+J 4Is7iCW/jAj6rXFG9keT6LiX6w9F5rSDj6Yj/Hw7g6b/4rW2ScJimnu0GDcyx4AEIcpPWCAzMrhR mdN4ASiUK9CLzAnAOhqlT5ko4oI0ERpniF07lFVbQzLQ3WQOIROU28qcweVEKH1cS3YXDB9aMhcO 3wJKwSuEr+0UeKgp24B2D0XmAhyuykBbgekGBRIstT+CI6ctqHA6gBxx/u1Ucz+Q+SDe+mV8AMFW zZrZmiIOUjCM0jyZITUcCUUeDZkDFV+G3+1wRgLtVw6XqQWZs+idox/uvkORuRYyL+PaTtlyXLLa NjBrh3FV/Qlol3GkUwIdxxJORRXLWlKypLecYndlzu/HmtH1C7bIeZOLthtPZMHfMe7aZBqMM6dD xpj9xlqbyQA2w467K3OCXD/rerrJnKoDEttrbRufRE6IhURLEOXLwLSrBFOFvoWpJIlsLDnhI8nW d6Mqa0wQZr5FEOXLEFU6iaD67XDJ5qyAGCCIRhKtKic5FHRHSoYs7Bcr+PBeQDhUgMSigFiChIgr giq9HS540lu2LVnid+gJuSPWku6pQOb48PAZfDA7BUmsQgnyLyHgs2dG5vQzIHEVD+mxWSTxCpEW uyTu7RS6yqh78mlInOJAkGiFELpg1qRfsB/jE/6V73zWs55V9V5b2YV7S6z4HoQKAac7kku2E9yC n33FK14x5FrlmQExnhmZC6iiq1iGj2ihQmcs+P5Wzv1iXMgcIocha0xUvoBz4tgoP/ie6YCW6UMv MtcLSCAWa/qWkTEgh8DZMt5eZM5rPChfBEoKLrhQBu2LazHMNitvyVw4TvfjDDzlZP2ELI+jEMhm RuhGQuYQSRkr0toLHAYlRWwodEDgoFDInMG0hsG6EA5dZt6Pkug/OZNFG5CCzKlyDgUBw1ouMgLT v9YPxRNh/a6ZC3A6+tfvlAwYE9VFgTvIHHKoIhKLUIfCSMic6QpBmfMEmXxMsQ4H60ssivd6jG4g wvps6s01BZNYm8KJ0Fd2M5FQ5UAohwuMdJYDHc34PZGQObPd0AtVAlWcftaWdZM5iRYS26vqK+jx TaaW2CofFMmvewo6xjXAh3H0yGEgfIBkIXwS/eBb+Ra+0IMpfISqCztWiZiZb51IsBNxIuQwHARk JMWShV6IRflt4iAmeJMAe0dS+MZYG9dCYCczMuY7xZnwEWZMFCz4ZjKdbGTO/elgVDmRWgmfChq0 ZE67FS4kLs7TpW4bHorMtRCvTFmbpUDU6XNM34IZMARPjEfmEJoolpArws3/jxVii4SHTfUaB3Yn TiOs7mm6OZJgDwzyYaNpx0jJnIKW+/fSOdfAL+jQWGx0zGQOUaAwglc3BCgPJERGqVLHkTHGFi2Z 0zFAstqyJGVi8BxWWwHphV5kTkalQqS9ICOQXQ0nvG4ypx3WySnPUlIBFjkxPSZTmFn224vMcTzt GjDTMNao9VonJ+AwLAbZzfDJiZNBwjgyVZxnPOMZNTBZQxhyHQ7GTMWqXW8QEICGq8whywhaVAg5 aETHWIJKYkvmtNn3e1UxWsgATecNtch0ZkCKjD9HHGRbMOCcVTRmhm4ypz8IaZBP+oMUCpyxBkem pRLQXV11b9lgSyA5WM5QtopEt7YRztSUCAj0IXsOiO4NVZ2YVeCgVYTaKTzOVLavugt0wnccw43z rAbHZ11PrJ3lx7SzHwSZizUxxs0CbNdqq6bOI7RIAj+CjLDPSAK0QVLsPCAj7Ll7JgMEBRWtqHLQ B74F2Y9gxj/FjEQ/08ZPJKwtRZbC7yKhbIedjZRAD0fmyISdsPmAZM440z+y93sBvJ2F4bsRAkmf dokRyFxUf8QpifZTn/rUmtDywa41WchcEHpxCBRP6E+sJWzJHCi8iLuWxZii7yYjvcgcH8f/RV9V wmKpCP8mxraJh+sjOu6F5PH9MVtE39ma5KdfSFbaJ4zpFUIqyYmiQcR6chETxTVjKLaKj7HOGcGT 0MVyon7Qi8yxedX0sE1gl8icMRFjVTdjpo9MjQudHWmc7oUxkTmGwSiwe9MTnBoG6qkpVRyNNbCC qM8ZADIQ2WRAgKSAOhudQXIYlgqK3wpoMlQZZiz2HwqqZYSrPQGdQ8CwcsJHMmP6d2ZgyFGmjey9 G4jeSDJLmQ/jiLUdQG6yFRUB7eEsBGmBkAH5DeLj/8ipaTdEgfEgx35DqbtJqd9bN9Ku2RoODI7C +51SeYwn4zMNyNmRofb6vD0QRsbJyD055DuugdSRXRDw6ENMD3M+SBqn0F6ve5qLHjDWftbWtBAA 6ASCFQ+/xGtqQIBhjOG0AvSF/kbWykGQAT3WTpUdAbp1SBZg04fuJ4mRYbIwxn6rkqtqaew5HEYo CVHFdN49JErRZ1UwAVoWTK6CyEQHaU+qSU7CcYKgzJ7D7iUGMnY6MtnAz7BvBMo4SCgj8RgpJHcS p1afjJGpK0kIGTgEfDIJkuve7kdXnGfXyBxd5T8FHP5CYAhbJ29+l18yPcWnur/qikApYAeB5FtU oCTT/VQan0iwf8mqoKs/iBPdsNZypPBdcrJUohf4IFPX5O0e/BAiJ/GI2COosj0y9x0HWaqoRlBm fwhfm3xJUlT4+CKVKP7C+AnGE03mwAwGH6I/fAR/Ee00lY3wt6CD3nrAJ3f7Vn+bNaBHAbNi/DXZ u4exNIVo+hrovfuLweIHuTjoLDJn3TM5+63ZMjG9m0QOB33hK9kSwu5aCgLGLvyhccNNnAv/g5eA xJNu+I7z2q8d5NQv8BXVR7Ye8hNH+e2IEeSHy1g+4fsSMZVB3Mh5JE68JNuxYExkzpSJYId8GDDG 4XBRwRFkjBivz1VhegUfjN6gULaWmWoQpu+3FIQjGwkIhZNomTtwijElKgiPBAaG45Ed9zJW7fUq Alki1j8zqOZwwCqHLQifsuknYhjEAUGjCLJD90GSZBjRB9/3L6LTTTRlVUhDP++u8RuZlHu048lI VA8RDqTFeMe5OIyTgAPazdi1jcG11SZEB6EJw2H8rhf9j6P7wQ3TtqbxR/PkE3AADEd73MvDBu14 cgbu0U2KESvybaeBZXLGSTtdq60AAB0XVGWP3VCl4mD9VkDy+o5W5wVlnztP7t3Tz4iTexqffknH rISslA3qh7ZGdWAygnMnc3IVYPqFLFsSxH5aqMKqPJCBA6nq9hFsg+N3XoCJqgVi6G+2GLbuMJsQ U9XWcsV5flhAiGlWkFwhqlEFnyyQYApm+kM3EIp+IGiKFTPTKbaNxLkH+fTy9yql1lSFbNlb+4Qr v84/iQEtfC4Aky+/wieqwnYXKSYCEm6y0R8yjoIGv6bC1r0sQ8GFnBDStpIEfK0YIu7qZ0C8ihjg Cem2uglkRuZIEh02xpJ58ReRUxnzW7Yx0pjeC/wuXuBaOEf7RgHFB/d3zv0jNgXERbHAeWvp+omT LfhuMhajW18dM3quTxb8fFulF9+0K+Qw2vu3GPM0ayKRSCQmFipvkjxJxHBLBxKJWQVJvRmRybZW 9smIJHOJRCIxxaF6JGiqIqugJxKTAaqElqF0V60T448kc4lEIjHFYcrV1L+1p0Ot7U0kZjUsUzGF 271cJDH+SDKXSCQSiUQiMYWRZC6RSCQSiURiCiPJXCKRSCQSicQURpK5RCKRSCQSiSmMJHOJRCKR SCQSUxhJ5hKJRCKRSCSmMJLMJRKJRCKRSExhJJlLJBKJRCKRmMJIMpdIJBKJRCIxhZFkLpFIJBKJ RGIKI8lcIpFIJBKJxBRGkrlEIpFIJBKJKYxRk7mrr766buz87ne/ux6f/exn6wUmAx566KFy+OGH l0svvbT+/ctf/rJsv/329f+zEmeccUb5whe+UOWzxhprlL/97W8DZ/4dV155ZVlqqaXqd7/5zW+W a6+9duDMdBx88MFlnnnmKe95z3vKr371q4FPZ8Q///nPOpAbbrhhufPOOwc+TSQSiUQi8WTGqMjc YYcdVt72treVH/3oR2X//fevByKy0EILlVNOOWXgWxOHHXfcsay22mrl8ssvr3+fc8455bLLLqv/ n1U47bTTqjx+9rOfVfl86UtfKr/+9a/Lww8/PPCNf+HCCy8sSy65ZFlmmWXqd1dZZZXy5S9/uTz2 2GP1/G677Vbe+973ll122aUO1Ne//vVyyCGHlH/84x/1fOD4448vc801VyWO991338CniUQikUgk nszom8whSJ/4xCcqWWqrP7feemv54he/WJZddtly++23D3w6MVh88cVr+1SqJgqLLrpolUWQqs02 26x8+9vfHiSYLdZcc81K/G666ab6t6riRz/60XLVVVfVCuhXv/rVWm0LbLDBBmX55ZcvjzzyyMAn 0+VvXN7+9reXvfbaa5AIJhKJRCKReHKjbzK36qqrlsUWW6z89a9/HfjkX9hvv/0qkTr11FPLdddd V3baaady3nnn1XN33HFH2WOPPWpVDxAtFaf555+/HiuuuGL9HFx77bXXLgcddFBZZJFF6v9N6V58 8cUD3yjloosuKj//+c/r9GSLX/ziF+X5z39+efnLX1722Wef2pZp06aVu+66q5xwwgnlgAMOKDvv vHP5yEc+UjuuarfddtvVv1W8zjrrrIErlXLbbbeVj3/84/Xc5z73uRmmkf0fobr55psHPvkXtHOB BRYoRx555MAnpey6667lu9/9bjn77LMHPpkOZE1VbuONNx74pJRjjjmmfOUrX6lt0fb55puvPPDA A/Xcgw8+WLbaaqvaVtPJ4N/llluukrx3vOMdtW29iOzf//738v3vf39Q5ltuueXgde+5554qT31F JFU3W2iLPjmPXLZySiQSiUQiMXHoi8wJ+O985zvr+rPuKT4wxbr00ktXMvLnP/+5rLDCCuXkk0+u 56xf++EPf1inCmHbbbeta8A23XTTstFGG5VPfepTtRFgvdizn/3s8vnPf76SCqTuVa96VZ2CDJiS 3HzzzStJbOG6c889d+3U+eefX9ZZZ53aDiTIfeaYY47ygx/8oH7PVKY2rLfeevVv1TSkCK6//voq HGsBt9lmmzr1+bGPfax+Dqpo2kMm3dAPxO2KK64Y+KTUfn7jG9+obWqBAH/rW9+q07KBAw88sHzy k58sRx99dF0ft8QSSwycKeXuu++uhNW1jIHD/VQiyVqF75prrhn49oxAit2LTLfeeusqJ4Qa8dNe xFVfV1999SqLIKN77713+fSnP13WXXfdeh5hR+yQw0QikUgkEhOLvsicitkb3/jGSjZ64dBDD61T i6pxCANipCIGCJ7qG6Jx+umn1woSQhH44x//WInV448/Xito1n4hcQHXRTxMLZ555pn1IYEbbrhh 4Oy/gFCqHqrcAXKJhIBqFwITFb4f//jH9YGDuA6i4roIkyoVwhJr3FSwPvjBD9bKnjbODO6pDe10 M4KEBKnEtfBwhunRtsKH8GqXeyFZ66+//sCZ6WNAjiuttFKdSkUCyRlZ3nPPPctaa61VK4q94Ddv ectbasUSyPmCCy4oW2yxRZW9KmbAlLB733vvvbUCSf4B8lJljapeIpFIJBKJicOoyFxLslr85Cc/ qVOwyARSYUovgLiZMgVTirPNNlutBHna0+dI1ite8Ypa6TKNqIoXMI2oqqaC5vzCCy9c9t13354P EyAmHgC48cYb6++Qkh122KGuXfOQxu9+97v6PX1B8lTkwJoz69J817q217/+9WXOOees1TsVQpVD 1UFTssORuc985jO1IqgaGPB7hK79DFQJySH6okqmGmda15SsCpzp6gAyrGqHkFlTh2Rdcskl9Zy1 d0ONDdxyyy21v6qaKo4qf8ix9r7gBS+o/XRY+/jSl760ysvDGdpw3HHHDVwlkUgkEonEZEJfZA4R ed/73lcX8wdUlvzQuQ984AN1uk81B8nw9GbAU50xXWi6b955563kCelReUKSVPyQLJ9ZWxdTuSpQ 1rkhF0gcwthd4Qq4ByKIHKkQIksnnXRSXeOF7MTTtoiS6ptzoA8qaqYqvVIEmUMKtcW0pmlS1UNr 9IZ7sALZ3GSTTQZJn0qiKVpt74bpW8QqoMKmgvj73/++kjVtUqED8kDijIE1iT/96U8rKbaeUL9f /epXlw996EO1ghnr6QLI9J/+9Kf6/3PPPbeuezPl6jOEFYFDbvUXcVZZJRMVOP2J6qVKq8qhV6Uk EolEIpGYePRF5gBJ8VoST1yCChwigVAI+siIKU7Ey7QrqBa99a1vLb/5zW/q37/97W/rlGULJEKF CUlB1hCOAPKE3JkiNP3oFRy9qnI+M2WJ+AHio32qdNZ9IXax5s2UpCnVeIIUqVE9M91pXZvqV1uN ch4hGo7IgWlPVcl42lS1izx6TX96aEGbTe0CAomsIbXajcwhoeA9dd4zhxjrq9eTIMT6iJi97GUv q1OpRxxxxAxPuoIHJgy264L1fuRsatX4uUYACVYdtB7R2Pkd5QAPZBiHE088sf6dSCQSiURiYtE3 mbMOTCVtwQUXrBUdBEh1yBEvs0VCkAdrzqy7QoxMJUZlCNlD/JAc06AqUYiVBiAJyKIpwRYeiph9 9tnrfVX+esEUrMqUw1OqKk1IlSqViqGnRmOaE3n01GaQM9OP8bfre8gDcdQ+bVO5UpF0LQTI93s9 /ACqfvpnqlTfTCXHgyBk4MnWIHbIr2lP8iEzFbxY04aQIZ2eZtUOa+5MeZJvNzxw4qGF7opcADn2 JKoBdy2EUQXu0UcfrRVDT7e6v3Pa6x2CiC1C5//vete76jkyMg2eSCQSiURicqBvMhdAZizEN01o rZxAr4IUDxeo3DmnUoS8qLpZlxYw7enGFtcjh0gFeAJUZa17XZonJ9/0pjfV6w5VHXMNU4AqcKpL xx57bF0XBqZw26lB1T3TkQEPEgSJAmvsTCFr38orr1yvFfAAB7I3FJkDU6P6R0bxehbQHvdtH44w DYt0euq2++ES5Ew1TDtU5HrtIkFWyJqHTLrX5LXQf/dxLRW9qNIB0uj+zplabeGFy2TqXKwxTCQS iUQiMTkwajLXDSQCEfF05BMB06TW4XW/iiSRSCQSiUTiPxnjRuaeKHiy1AMT1nV5MGG4J0kTiUQi kUgk/pMw6cmctW8eHvB0Za8XFScSiUQikUj8J2PSk7lEIpFIJBKJxNBIMpdIJBKJRCIxhZFkLpFI JBKJRGIKI8lcIpFIJBKJxBRGkrlEIpFIJBKJKYwkc4lEIpFIJBJTGEnmEolEIpFIJKYwkswlEolE IpFITGEkmUskEolEIpGYwkgyl0gkEolEIjGF8fGPf7ysuOKKZbvttksyl0gkEolEIjHV8NGPfrQs t9xyZdttty1nnnlmkrlEIpFIJBKJqYT3v//9Zemlly5bbrllOeOMM5LMJRKJRCKRSEwlzDfffOWb 3/xm2WKLLcrpp5+eZC6RSCQSiURiKmH++eev06zbbLPN9GnWe++9t1x55ZXliCOOKOuvv3756le/ Wr+E9X3wgx+s87KemvjEJz6RRx555JFHHnnkkccsPj75yU+WT33qU2XhhReu/19sscXKmmuuWaZN m1bOO++8MtsDDzxQbrzxxnLaaaeVnXfeufzsZz8ryy+/fJ2LXXbZZcsKK6xQvv/975eVV145jzzy yCOPPPLII49ZfKyyyirlBz/4QVl11VXr/9daa62y1VZb1ULcFVdcUWZ7+OGHyx133FEuv/zycvzx x5c999yzPuq69dZb16ckvMNkhx12KDvuuGMeeeSRRx555JFHHrP42Gmnneqh6Obf3XbbrRK5c845 p9xyyy1ltscee6yozt1+++3l6quvLueff36df7WgzhMSZ511Vn2HSR555JFHHnnkkUces/44++yz ZzhMrSrC3XzzzeXee+8t/x9BHZdpp45QBQAAAABJRU5ErkJggg== ------=_NextPart_000_000F_01D10699.B0F76020--