Return-Path: X-Spam-DCC: paranoid 1233; Body=2 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=-0.2 required=5.0 tests=BAYES_00,DNS_FROM_AHBL_RHSBL, PLING_QUERY,RATWARE_GECKO_BUILD,SPF_PASS 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 u4FBZRdm030177 for ; Sun, 15 May 2016 13:35:27 +0200 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1b1uB7-0000Af-1B for rs_out_1@blacksheep.org; Sun, 15 May 2016 12:25:45 +0100 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1b1uB6-0000AV-4K for rsgb_lf_group@blacksheep.org; Sun, 15 May 2016 12:25:44 +0100 Received: from mout01.posteo.de ([185.67.36.65]) by relay1.thorcom.net with esmtps (TLSv1.2:ECDHE-RSA-AES256-GCM-SHA384:256) (Exim 4.87) (envelope-from ) id 1b1uB3-0004Ep-Bg for rsgb_lf_group@blacksheep.org; Sun, 15 May 2016 12:25:43 +0100 Received: from dovecot03.posteo.de (dovecot03.posteo.de [172.16.0.13]) by mout01.posteo.de (Postfix) with ESMTPS id 7CE7420834 for ; Sun, 15 May 2016 13:25:37 +0200 (CEST) Received: from mail.posteo.de (localhost [127.0.0.1]) by dovecot03.posteo.de (Postfix) with ESMTPSA id 3r71VT4xfPz5vMs; Sun, 15 May 2016 13:25:37 +0200 (CEST) Message-ID: <57385CB1.2060207@posteo.de> Date: Sun, 15 May 2016 13:25:37 +0200 From: DK7FC User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.1; de; rv:1.9.1.8) Gecko/20100227 Thunderbird/3.0.3 MIME-Version: 1.0 To: rsgb_lf_group@blacksheep.org References: <5737138D.4050807@posteo.de> <245E116B-93B7-4A7D-AD24-FA4B8A8898BA@hurontel.on.ca> <1771641848.20160514171621@chriswilson.tv> In-Reply-To: X-Scan-Signature: 8e813c4f309eab174b494809929e8e85 Subject: Re: LF: A transductor instead of a traditional variometer on VLF/LF/MF? Done! Content-Type: multipart/mixed; boundary="------------030702050105010303090005" 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 10.1.3.11 Status: O X-Status: X-Keywords: X-UID: 8072 This is a multi-part message in MIME format. --------------030702050105010303090005 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 7bit Hi all, I have built such a transductor today. It is intended for VLF resonance adjustment but it will work on LF and MF and HF too, i bet. Can someone of the LF and MF TX stations try that please? I think it is the most comfortable way to realise a steerable 'variometer' without mechanical components. Now, i took 4 of my 100 cores of the 3C85 ferrite. Each one has an Al of 4 uH. First i wound an AC winding with 22 turns: https://dl.dropboxusercontent.com/u/19882028/VLF/Transductor%20AC%20winding.jpg At 5170 Hz and 0.3A, this is the number of turns to prevent the core from saturation. For the AC winding, the cores are in series, so the Al = 16 uH. With 22 turns and Al = 16 uH, L = 7.74 mH. Then i added a winding for DC. For saturating the cores with a DC field, I * N is constant, so i took a thin wire and many turns because it is easier to generate 0.5A at 5V then 10A at 0.25V :-) For the DC winding, N = 20. There is still room for another 20 turns but this is a first test. The DC winding must be wound anti-serial! Actually it is a ferrite transformer and you will short cut the transformed AC voltage that appears on the DC winding. So you need to wind two windings on a half of the construction and switch them anti-serial, so the AC voltage is compensated but the cores can still be saturated by the DC current. https://dl.dropboxusercontent.com/u/19882028/VLF/Transductor%20ACDC%20winding.jpg While winding the DC winding, you need to listen to ACDC, whether you want to or not! For a test, i build a resonance circuit ( https://dl.dropboxusercontent.com/u/19882028/VLF/Transductor%20test%20arrangement.jpg ) and measured the resonance frequency as a function of the DC current: C= 33 nF I [A] | f res [kHz] | L [uH] | relative L [%] ------------------------------------------------------- 0 | 9.59 | 8346 | 100 0.25 | 18.88 | 2153 | 26 0.5 | 27.03 | 1050 | 13 0.75 | 35.66 | 604 | 7.2 1.0 | 44.1 | 395 | 4.7 1.25 | 52.03 | 284 | 3.4 1.5 | 59.8 | 215 | 2.6 1.75 | 67.0 | 171 | 2.0 2.0 | 73.9 | 141 | 1.7 BTW, in all measurement points, the wave form looked like a perfect sine wave! A graph is attached. Look at the linearity of the resonance frequency. The only thing that is can't understand: If this is a known circuit, why does no one of use it for LF and MF for an easy resonance tuning?????? This circuit in series with a fixed coil can give a variable resonance just in the desired range, e.g. 135.7...137.8 kHz! I will now double the number of turns for the DC winding and insert that construction into my VLF system. I will let you know in which range i can vary the resonance frequency. Most likely i will need 3 of these circuits in series. 73, Stefan Am 14.05.2016 21:16, schrieb Warren Ziegler: > Hi Chris, > Yes some serious mechanical engineering involved! > My good friend Marshall designs vlf antennas for the military and has > worked on NAA. > In fact Marshall worked with Dr. Wundt, the fellow who built the > Goliath vlf antenna in Germany in WWII and was later brought to the > U.S. in Operation Paperclip. Wundt did the original design for NAA. > > Great stories! > > 73 Warren > > On Sat, May 14, 2016 at 12:16 PM, Chris Wilson wrote: > >> Hello Warren, >> >> Saturday, May 14, 2016 >> >> Fascinating stuff, thanks for posting that, shame there are no photos, >> do you know where one might see some photographs of these giants? >> >> >> Best regards, >> Chris 2E0ILY mailto:chris@chriswilson.tv >> >> >> >> >>> Yes NAA uses a saturated core reactor: >>> http://coldwar-c4i.net/VLF/design.html >>> >> >> >>> >> >> > > > --------------030702050105010303090005 Content-Type: image/png; name="transductor graph.png" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="transductor graph.png" iVBORw0KGgoAAAANSUhEUgAABZ8AAANvCAIAAAFKUwPnAAAAB3RJTUUH4AUPCxQgU4Y2eAAA IABJREFUeJzs3T2y4sb38PFznvovBSaY8grQCrhOHDl1hkJInDmYW/XLnKAQMqcTOTFaAazA NYGlvZwnaBBCSCAJSejl+6kpmytANFLTOupXNTMB8vy/dycA/UXmQKE+Zo448FS1zCv9sOiZ MHlBED9/S8mPe/1d6j4+DlTVvV1VReInb3uTPmaO2fooskqOneMF8fkgxoFIeNkicXLE76RP nnc5GSmhp5reHsQSxOcTpaqBp5p9VyxxoOqpF4hIEq4Fnroc7asmzyZpSP9pu2Xon3doZr6q mYnMKh+jblgviazkevRXSVJlsTUzs+jyMllcvsI2St4rZodou3Dv2kZuix0uzyZ/LkRWImaR 2xKZLS4f6naYHKXIUjuPtrdJlSRJ28XNswWH92DR9vqN+noKzMzlXCBHHy8r6AkyBwqROVCI zIFChZlD1ZfQPz/AeMWBJwVnufBuRdWPbDdL/S0iwq3N6KgX2HGd/1SFW1lVMsekVIk5yBkT Q0CKQhUzR60GKgxUxczBlWVKuKxMVJlrQPXMwZVl+Eredz7KHHFve6GgluR3XTI6eJQ55l4w E0k6p1TbMfqkXhUm/TnGrEq1ZXzfIa1WQErY0W8VLx+FHXEpOUal2RYObmXHoGqkWVLdzMGV pQdU220sp+QYpCRPtBoUPKznKO4Gwg3tW7R0+SjysJ7j+68iYrbrIiF46C19rV64W6HvT/ve e4yJOXqqD90yX8gcFBst6DiqeIySoxfavil9qLB19bUaUsKOl739EKqqmanm5ASqz9/m7dni KS4rb9CHYLOMMpmDHj/N6FWwWcbjzFHYmHtFI0sJQykqMog52tVwYNFtnELM0YrBXUESfnht TWui5Oh/2N2hoR8MT/V4+QJkjsaM7zA0cVkZ2SGpqMsrSDr6v8yBGcZ151FN7+d6KVFNHhNz 1Nf9PUj6s6LLH/+8VtVgZnG2Y8be/a+hu5XxFakPTeXrpiclzWwRWWSeKtxJ++nsjfF819yJ abeL6/b/y7w6ffUyO6afevJJzSa8Z26LilF/179M1XdXmZuY45W4ZqwGWrlZ22Z+zQM3maPM FaTQ6DLW1LLFvebuVsZyFIdbudmI9HIA2cwx5SsLRYXcXlYabXgb7B3eYBPevHSXsGzJ8VKF ygAPMKVFxupg+TWkoa/z1KpHlxeNs7MP2eLW+SzvP3QbnWtLs5eVdKkSisxFZnnTehQaQgE9 hDR2L+csN93ZhwM/ItlKsFfvVnqZMyZ8B/aSkbfKElhUparJYqst9CHtx5WlH6kYtuzdSgNL 77z7nFBavCJZsFdG1vuc0uJ16oe2W7rH7cQcnUeAlBZNsd0y8C5XjwcLEsvqULKzz1v1OW29 ln/SRRaXxb0HfFnhItKGIJb1pTKstczBqRuqUKTVmENauf5Tl9WGzJyRqh/JU8O4rFAMdSaI ZTM/9yH9v6evru/lU9rNVKxI28w16QzW35KD0uLtWm5bqRUmUGnxRi4EcR6VHJe7mir9OV5D adErj0qOL7OOOoFNvMN3b7UfczwsDSgq+qz9/hwFJ5/Aov866eyTzM97+UvIFr3xYOGU7m5l uYIMThclB0XFQLWbOW6yBU0jQ9NW5sgpLczIH8PSfOZ4dBEhfwzKo8yhqnHRAoD5rxd5GluQ P4ajmbuVOnci3L303quXlfp3Iu49lCI9Vj9zNHODmryfXNI/dTJHK/UW6d2RUfqhTuZoPVRI FydklJZ55yOc0wBfIXO84TQlPQTJIq05Fv/Wn2eO0D+fmHfeWxCatC6nP1d/+5A+x81wy4Y8 P0cmhqVQaVqbQxO6lClC6HjYhLFkjozcPEGOqWikmSPXgzxxf0kiA00rczxQKSs8Dm5GlKvI HNU1PjnnK5/b5i0bmePd3lXSlGgEGfKtLOSFvHWpfX4wbu155mhgfkF0ot4Ew7Ow8PwOuYYU LeOygkKlM0ccSBy0kQJP1bUaB16FUrFkEapeoH7oHpTed+XR4yVT7l6WWrPkOVUtmXJ39a90 ZXmekAdTTWYcnr/kOl2h2UFEovJ7v13R9PHOVxVTbmar8qm3Sqk2O6xKJma7kFXFZJcnshJZ lD8sIiKL7ePXEHOgEDEHCpE5ztxaM6F/XnFG/dD9+e50vROXlTNVNTuo/i9ZpD29otk0UXKc mZnI8poz/NDMKDkm/ePAA5QcKETJgUKUHChE5kChPmaOB8vblmw7CK7NI5kGhCoNG48Vt3QX OdegqAZx8kWaS08L+pg5rpX/F/6lYkpEwmvbVRj6KhInOUYvLu8LRcTT/CUvMw1gceBJHLgF MrOvvOzWS2U6/dgnHxeLpJ9yTYlF+djObU+mqm7Zm1cXem5NHzNHIjlqOzM/lO2/HyLycfn9 iSyXO1P9TUSSn2CSsVR9d+iPZma7dAZy/93/L8h8iszW+iGH1e1GkZ3bJPLr93nmKfdx82uS zv/9ScQskrwTH14+1MxaauhuCncrKNTrkgPvReZAITIHCpE5UOjxPKR+jbt5DMuDs/zkbuW6 ghez24/LtbdK6MfLXe46bdzKTlSZrkxVYo6+VuShJVUyB2XMxHC3gkIVMwdXlimh5Jis50FC xcxB2DF8Sfv001c+yRy97ouCiqrWVT3KHKGvH+pltxJ2DE3tKTarV4IxqfRAPC4nkkqwOPD+ /HLcLXNeUz0gJWf0XpItypyr2fpYuB+qz0ejUpnedPV5OhXok5ZaRWtlDgqbfkiWimjphDBJ 7fBUCileUbezD1eWd+gsWziPMocdJF7uukgFHnrXWiDcrfRae5VKrd2toGU9WTbohcxB2NGC XnXVfSFz9OQbDF968cLuD6obCJ7/FDHHe72rqSqJOdxQ79xsQD3H27hs8fbf5oPS4bWAlLCj up4Em2U8yhxx4D2Z4r//369PehVslvEoczxozEUlg8sWzssBKX1/ijV/bJrbI5VgbzPQokJE 0jNRcSvbpAEVo2VKDm5lmzHgoqJYE5eVad/QdtmMnppE87yi24M5W0vvU5OOGZm9NXFZGVBh 2qg+fO8H9ZtP35i8K5mF5ZIzVmY7IeaooQ954nWllhq6WS7wdotZFN09O22jOg6Fq0bKKmd1 yPoLV43j11RsfN+vWj1HHHhuRuY6RnbkLgbUDtKU/IDUZSVWvXPGV1RkFJ3o9PZryZHM5l/7 02q+sWdGWWNR3uqQCjMaKyeG/1sb/jeooFrJ8aohH9eJlxZFbjJHb1eFackE482n0sXJk5Lj SWefjOHkLYqKhO9p+iynH99kjlfjjyEcbLJFxtfbP9OzuEzoxnVS8eZT1SrBXm/fc3t5dQ8t oLSoJ1PPsXp1fz07A2SLqtIxxzgvK1xBnqrch7SZW9m3XlkoKl6UzgPj6WBMtmhEfj1HYzVg nZ8fskVbcnt8ONuF1Ovs0+FpIkfUV9TZJ3ncTkDafkBIyPmi9w1qavO8cRFpVmZ+jk4C0hbu WcgWLZkVzBnZ2qCmRs9hT6ayGKXsxWWxTR72+la27Rl6cW/1xzp53GYN6WtBIyFnq949yr7W uaUDzht5wc3ccU+yjx9K7jItbaCo6NK7Sw4pe89CYNFPb26VpbR4lx6UHJJfeBBYDEInt7Lp EXZcQXomPT9H9qkuLiuqYsYVpFfSMxhHZrO813Qx7ZPLGqPscjYCD85Lu5eV60WEnDFAbWUO YosReJw54qLFFh4gW4zG4wUA50WNuQWvFyFbjMijgLR8CFm5SZ1blyF4NeaoWVq4N/RyeBwS 9TNHAxeR5M3phazQG3UyR/OxRfqaREbpjWqZo4uQM5NR0DJVv2gWlrKZ4z13IuSSt3pUq63q i/xr1qf1mrjNaUgDTfaHXuUMIYbt1Cjaw6h9q24yi/Hcf0mySxNGkTnuFWWXomeRZ6SZ497j DJEJX8g9IjKhzPFYpdyQGwibje9OisxRXYM5oNINV+7ntpkjyRzNqXGSXj+vbZZVT+o5anT2 wWg8yRyVOvugWd2sU6BaeIpHUQmGdvR6fg68V/OZw1P1zuVhhYilZBGqXqB+KKFfqchtqXwO vDq7VfXKvey85nSlnTcbI5a9Wym/MODxuqLgvMxbVNXsUHLndnTzzixXh12Z16vqy9O5P+Kr 7l9fiqRAyWyUljtwrWDnz08oMQcKEXOgEJlDfFW5XN3T/5WubiZ7ixrSMzMLU9HDxLOFQ8yR Iz09wZSPz6S/PB4j5kAhSg4AlXFVAVAZBQeAyig4Kkja0JMqdjc4Xb0gXd3u1h0IPPWCWFUl DkIRkfD84st73QNP1TW93q8Vn/4gEREJ3Z5v9xAGcbbiP9VqH2aGz8eBl3xuqttDnP70OPDi wAti8VXVC9x3uf+C7i3Jl0qnym1MvStMf7XMEUjvORTxgtj19/Bv33uf4PSufD0Lbz/F8UOR OEgO1PlZ9yXrdo2YOAqOOszMUzWz/YeKiJx+mJnLeWa2mauIbH46HNfnvhX/xSLh33Kpi1cv MDusDhb6+peZ2V/up3Zf3+R2m95+3oOq28M1PZ6XpOpBj4755mR2OJcmy93qvM+7Xjfr41oC OZjrPLM+2mF1Lh/NTH7T5HP3HypxsDpY0mfmclji779GZgcRUf3IrUpLf7vQVzNbpvor789p S733NsGxiNkhCDwz212WOr1f/CXwNH9JmOjH5dG/xQcM+agc7ZtQpKuVj/oo9gJJCtynVHV1 sKdLRZVpOw1iKf2xoOAAUB23KgAqo+AAUBkFB4DKKDgAVFZ1qQR1jd5Ja3nOJPvMNg0Mhx+K m7CjYMGMfNUKjqQJ5kO90Nf0AwCDkOnqtv/wJfxTKv6WaY4FpqWRGQFaq+PgbgUYr9YKDrds AIAxolUFQGVtFhwEHcBIEXEAE+KGcL++n5oFRxx45+V8Qv/Buj4EHcAbuT5VdwsoN/CTrNkw 45qCD2bzKut5AGiVKyOerabdQHNszQUSqn3w6FZlBnoiU1J09jvrpI6DGxagIfe3HhUv4jfT NTpuRrhK60R21XOUoAOoLvmBN/jreeetSmUu6KDsAB56161HVSwCCbzNfUDR25Iio8OCg6AD uI0phvtr6DbiGO5xAuoayt1HJTVbVepN/iHCqFmM34sNH4NQs+CoN/mHyFjKWyBlCiVFxjsm 8qGmAwNXpoNmb/V7Ip8H6A+GoZlgTPEYzbFAjlHWaOZK1jxOHpR515uG1RN0oGcmG1NEZmYW Xh6UfNf7JiumpgNvNeh6ilcMto7DIehAtyYbU7SBOg6M2Ti6afaR1bU6mJlFtxsrf3obXwmT ZmSrp2r/6hPvXpCJmg68ZrJVFbWVr+O4nbZjZbZL/nj3rQoj31BRfxtKy9TZ9Si5z5mZK2VU /XSpIb2Y5XxQhxJvka7X7G+lpkvZ43+DkjtdmPPuiMMh6EDKcGepGBkz81SPeUe/BxGH0DQL EcnGFGMtLHIv4L11ElHV+yVQ+lFwYJLylvwYtmQdk9x/TpT6nnrmB56+q0BR/zw3Ru4UGZdW lF1me28KDoKOCRh9F6wy9Ruzm9eff5brY53eDM2JpeIUGa9M5JM8qDSvOqZlGPWaL9OGdJ9y 2y1daWZ2XO6yp6coFHop4mi4wCDoGIXRhxW5Xu9S5bz7e2QVhUL5BUfoJ/ddXu4LdksRkdn5 AYtATt1EwooJcnHQfYiQ34es0sj8htE0OwT01xyuSqNjg1jWeYFBfsTRz6gJ70VYMUFrCfy8 5pbetKokqOnojUxTIoXFFEU/9h85v8dHtyoOocekcA8yejUm8lEvsOM6vSW/y/n7CwtqOjqU PtgcdaQlMYTqj3Q3sMJbFVVPVb133TVww9Km8XXZREui7ULOlZ63nUcftCdHRc+ZiZvG5+WJ fB4gMzeNGW5wlf4tbxdy/1tOnl0dTBbbzPbCu51GZjR9FTcsr6HCAvcq/bSLXlx4q/L+UkO4 Yalsmr020ZJkPo770bFP5+OI6Rjac8zHi5Y8iB4eVI6qr6o6bydJpRF05KEvFrqhfuiHol6Q 2Z5fcLgQZd96qsrhZyEiQl8svMduKfLTl8zGR5Wj7kEvKjsmWUtK1Sba0OpKbqH0pMhwJnPD wj0IeiWZoyyzvehW5UOeTY7oeypM5NMECgv01upgkdli+3tm+6PRsY/7dH1tMnkljCvooLDA IOw/dK562vyZ2V5/dOz6aNLxRD4DLzsoLNBDqn4ceCKiVeYc7UH30EqGVks6tPRi/HIrR92c G8u7F/uh7JZyv5Lb0AoO6ftvkaYQ9FylVhVPvZOc7l8/wIJDeld2UFhgQNodq9JrPajsoMIC k7A65PYc7cfasUPQ30XSgXa4Dhm/f13sTz9lnhpmxCEdBR2EFcB8c7rfWL+Ow938ZAbPdrwU lYk0/XnuaAy40Rd46vWazWFWjqa9XFFK1SYmpdWxKsNR656F2W6AVwy/4JBL2fGw+GB6XqBB oyg4ChBWAE+5PqPx5UFJIyk4VEzFCCuAqj78UERmIh9jHqtyJ1u12bNOpUDfTLdy9FH3CvfH u/uVAuNWs+BQ9SQOpOJQ3FdU64tF8QG0qWaXczv8JLO1iBzseD8UtymvTvyfFB/cvACN6l0d R4vdsShBgIbqOHoxyK2jJYWSXdNXFHjN2wqOd64/lvm8dN0JgBI6LTh6ulhhblIoTYBiXRQc Sd3CkH6DRWlNF35UmmCqmu/HkV6p0BnVj+u+KfjZMBmgP5IF6G83+lJxeaTetaqMAZWv6LE3 9xytUUpNRVFUQmCCsXj1VmUW+vfrSiLLFSX3xXxSoFCmYFC4VemrTFGS7kTPKcMLxtMBDDnK nNrcwgVoHwXHoGSKhqolRdEN0eP90OqMOxQcU1L7958pO8rUyLxY1lBa9RsFB565/wG3/ZN2 BVNSdrxYc1wytdQfVUHlKHDRTZjz7hY0dasHvfZNX22O7WwiH6B13VxEk7b5d/27/ab1fsKv RhyhSHsT+QC91UijZh92Xu8nzK0KgMoGOVkxgPdqvuAI4haWnnYTI3uB+yuZKrmNnUujS2d7 qpIa0ROK+K3tvJUj39pC4undBvH5u7Sxc3EZpsmdX8ZYnOfrbjbll52Hvtxmy4b2ryLiBS8P MrOGRWYWbRfN7nS7OK+vff77sGpv5+6wHBraucjKzBbbyMws2pqZO0Rt7fz8Ec1qLMFp7rA7 jefDZOfRdtF4PneH3cwWInb7RRrf+aL5X2gzp5M6DgCVUccBoDIKDgCVUXBAJFVle6nqC8N0 RV3qqTjwRGJXudZSvSn6j4IDWaqq+rEUOaz2qpopHeY//hCZfZ9TZEwalaMAKiPiAFAZBQeA yrhVAVDN5+cnEQeAyig4AFRGwQGgMgoOAJVRcACojIKjFL0Iq7wr8FqcY+LBxpLP3oobmKOh nG46qqc/JU6t0p7erqpuqg76zldFwVGKXeaMWIp4QazqxYF3nhNFVULfPQ68a77MPMi8QFXV D9Mvc7tNPjEOvDjwglh81cwkQ5k9JDPNekEsEj4tSvxQRES94D6p9x+RbDmXKvHlXXEQ333H /I0iqpoqk8LVwfK+XZz6XD993Nx7Mwn2gvgyviZ0MxilCwU/Na2mqs6un74ys2TPZmb2l4jY YfXgoCFHE5N6TIJcZ/pJpik6rA43E66kXpPdKCJm0WIbubl2JPtUerdmZtF2sY3Mou02Mjus otTOVznvXS1SO5HFNpPm+y+S/Pc8D83583JesBK5PrW4JD7arg52/m/yrtTG8xHYRpkj4w5a 0bdLvo57fHcArwk+P7U65H7HVWrj/Z4PKzncHRxZNTV50/h9+/aNiKO6xa9yd5X+SUREzCz0 9cl0b7MvD3ab9vNMRORHJLLcna+ZceDn3yztT+cHJxGx4zr3RbfT852vsV9+epRYM9uZHdez +0Dml+X5u6SfSjaeU/P9n2Q/mbfnfLurfzNpSCfYOad6//Eo9QU+9nnzev/7X41dTRYFR32h LPf/uykjQl8/9mLHtZmp6h8rERGLtpef1uzX73PVDxHZLkS9wL0s/aPK/j5n638/9Dq8fbbe f+jusIove3Cb3aX79rOuO0y2HC9RetpyZ6oaz7JljaVerKrnIOKvnJn7o+0iMwA/ebsd1+5D 84u71Lczi5KPW8jJVbjkvnd9NFXdrw4iksQOpe2T9LsUXm4Pw0NBaYtcdDnvFz+U3YQXqqm4 nkisOn/++jiQu2Lxtc+dOrqc986USw3Ju6N5aFbq9c9KjeqfC25VAFRHwQGgMgoOAJVRcACo jIIDQGUUHAAqo+AAUBkFB4DKKDgAVFaz4Cgake02vZIgAF169FsuVrXgiEUk8NQNEEoepFNx /S+AfosDz8xU/Zzf8kN1Io7vJxGRReoBgCGKfrj5GP6t+lv+vxofdjysROS02NofP9yD63Nm oioMGQKG5JT8qEu+ofnRxKrqZjtodrcAeoJh9QDqoOAAUFk7BYer6QAwUkQcACqj4ABQWWsF B60qwHi1GXFQzQGMFLcqACqj4ABQWZsFB42yQM+oNvOjJOIApqLB63idQW4AhsUVGQ02dbYw kU8ajbLA+yQ3JmYN/xbrRByeqpn5ql8Xcr/eehaj7IFuJVfz9n55dSKOo0Wq+nXBRD5Av7gQ w8UXrV6v60QccfCbm27MDiJVJv8A0IaW7kcefWIrE/lwbwK0r4NbklxdTeRDbw6gUc3eknhB HPoqIqpeybfQHAsMxou3JOk20OS2IPD0eDRPZbmThZxK7ooOYMAApEOM2iwl2biRrYj8sRIR OZVu6uiqjoNGWaC6xjtuNeLz85NbFaB33lXrWR4FB9Aj/Qwx7nVVcPT/SADv031HjBd1GHFQ zQGkpHspDO6Xwa0K8Ab9r8V4jIID6M7Qy4tEhwUH61FjwoZS61kSEQfQosHVepbU8kQ+wFQ1 0tezt+oUHHHguWH1gaduIp+y7xzlIQRS2pt0q1fqFBzRDzcS5t86E/kQoWCkxh1iZLxSx3E6 HlbCRD6YtinEF/fqFBzLnUlqWK4d102mCBiIkTWUVNL5sHpWacLATaQW4zGaY4GyphxiZFBw AE8QX9yj4AAKEWIUecfUgVRzoN8mVYuhquoF7kEQl30XEQcgMvBB7rV5qiJix7Wv586c63Jf noIDGM+g1RrMLPAq3wG8qeCY4PlBL028FuPohoysDnZcquo2Knsg3hdxMMQe7zOdKoynrj05 qxwLblUwLRMPMZpCwYGpoMho0PsKDk4gOsFdSRveGnFQzYE2EWK0p34HsBorXAPdmNTUGG9R M+IoWuHazQZWck4wY+ZBNMyVE8m8lm9MSX81slx0zYJjI9t13grXrvNZ+ZRxPUAjbu9KyFat q3mr4ibvuczoc6z/+VwU8Jph3ZUMKMT29Ubm2XcMcgNeNoBxaMMpI3Lt7Ebm2XcXHD095+iv /oYYLmXJv9wtg+KCjjjIaf3oQQcwGmVRTt+bVzMpG0XGPtda3k0r/O6IA3hmAHclufLS2kiL Rjd81X1xpQwFB/qrv3clE+DqOFaHnAoO6cWtCpkCt6Y8O8ZQ9CPiGGC9EdqQrkOk1OiD3TJ/ ez8KDkxe+q5kxPcmoa9e+Yk9381XlTjIreag4MCbjbIio6j59WMvf61nIqLqqxckfatUNew4 iReq6oabZQqIc+XofJP7rn4UHMx7Pj1DbSspdt9j474bx3Yhs/OT+8zaqf+9JxAJzczsGHjn yYqTJ3bFvb+kLwUHpmSUIYbIzX1W7r9isYj8iLpK6I2liPiq308ikhp19qzLeQ9aVTAZfe/B 1b718WaCz3rzfTYo9HW5s72IHVYiclpsk6d2ZrviN1JwoAsUGf10Gad6Kb+Od11EC9S5VbnM 36NNTuRDNccYja8io4g25N3fI6swVZbjkH7B4e5puRRRCxEzW6R28koSR52vJsg4pf2U95Mv 5N6yXdy869u3b7m3KsvHRcB2ISKyaGIinxu134g+YU6dMSn6ST64VQlV1c9rXHYVPEezBiby wYhM5K5kOnx3RkP//qn8ytEkaijqcNoKV81Bphsayoux2lnkKjjuG1ieVI4OpnMs3mGsPTJw MSt6orA51gtiahxQhObVKXDdSXOfyi04wvSrQ9e5rBvkxH7jrmRSfpzkcqtSas7RZeEfHehf UzaEu5JJ2p17Xazun2KsCh5JBmhRZEyQr2qH1dF+uX+qfwUH2bM3mFNn4nZm+rH3w5y7jicF x3vmCOBu5d3SdRmUGpPl+nHsP8pO5BP2tuc8WpUeWgKcp+SItvdP1elyjvGhvMA9NwmYiNjd wir9q+MQRsp2irpPPFVh7VhPNbePOkaDIgNPuVuV+1uQop6j4dFMOu79ha5wY4IydmaqujrY 7q7reVHEsXSVowWlxnkIS5MT+WSQqdtB109keKpBXPRbjqWgVaVoVo9D8VN2WLUykU82YQ3u C0yrg1vJj9nMtpHd/5bNbLsQO6wys/i4iXwezZ0TB160Pt4HHb7qzsxT/WMly52peukpOepP 5JPBEPsmcFeCp4JYvvyp97/lIp+fn0U/8lD1o97vv7GCA6+hyMCr4kBmOdMXf35+FlWO9qMr B0FHLRQZaEZeqeH0sh8H6qKFFU1JL8h0/2x+wZG84V3rWZ6R/UujyECz6iwB2UYrSU10IX2G FlZ0r+hWJXRNuPT+6i0GpKF9cbVbFZFlLDNVZbLiHuKuBN0IvLnrx3Gv+abT5ptjaVsREabV QW98fn4+mY/jzZWjuKDUQPdcP/TAy7lVKZyPQ1Wj7aJwWQV0hYoMvMv868JVcNx35ygcHWv9 GR071R8NRQbea7Y+3s3gc1ZYOeqpqnrvLzWciTXKUv2JPvCLf3eP146NexFxTAlRBnql0oJM oavj8ILelBoT+CXRjwt9s6vac9QVM6fNvKhV5eHkH+0Y790KUQb6yVf1VeMg7wdeNFvPI8WT f7T3Hcb4s2JyHbxBxV96dP+Wb9++Fa5W/8hy5/7/x0pE5CTXnmXuHqelEmROfFrDAAAgAElE QVQ0P7LbEGM0Xwujs9wVLa5Uq+AQEZH1TGRnIlJmyqBmDL8LKXclGJDAKwwCmI+jI7Swoo9C X0RUfYkDEVEvSD/54yRFg9yGMFZl4Igy0Gee6tEs/d/0s6p6MMu0rhaNVemxQbWtEGWg/45m gae/LkRETrdP+apmtsxbmK1+HQceIMrAUCS3CPf3Cm5BJhEx22XeNbSIo/fLyhJlYFiSwiK3 hsHMRHIm5CDiaAxRBkbGjVWxaHv/1NAijl4iysAo7cz2stL5j/unBhhxuLuVd/9G0zPrvDst QEtikb2IiAy9jqMfmI8LUzDwOUf7hIoMYID9OBKdt61QkYFpiQPXFpvbc3SAdRydI8rABPnz zYMxq4ONONrv0JFe8YhSAxP0IOKoU3C46dJVvU4n8ukQdyXA47Vja03kY7YQkcW2y4l8usLk Ohi5ej/5tJoT+fiqRzNf9ZduJ/LJ0VyHDibXAcqrU3DszJL/SpcT+bSAWgyghoG3qrzQi5S2 EqC2gRcctVBkAC8afsFRJeigyAAaMdh+HBnP+nRQlwE0aPgFR1Jk5E6pqkQZwCNJ/66ilRBy jeVWRbJlA+UF8JSbVdRX/bqo1pdi+BGHXO5ArgUn/T6BUnZmIvHO7PtJJHeOwAJjKDjO9yNm VGQA1YS+yExEjoeViJwWObME5hrDfBzXu5IezAwGjN7n5+ew6ziyFRn9mFUQGL2hFhyFdZ+U HUD7BllwUDIA7zWwytFSjay9X7QJGLpaBcd5hWvNXeG6JdX6ZVB2AG2qVXAs3SILK2++EZHF adNkiu7U7MpF2QG0puatinqB2S53hesGvdr705UdFB9A0+pUjl6mMH00CfKLGuv66XZBbSrQ qDoFR7qkaKH/WAtdP2mjBRrVo1aVdoelJaEHgJf1oh9HdyNZC4bSAqjkzQXHG37FyYdRggB1 va3geP/PNnPzQgkClPaGguP9RUZaOh0UIkA5nRYc/Soy7mXuYjIbAVx0VHD0vcjIIAwBHmq9 4BhYkXGvqBAZ/BcD6muxH8cI5/50XyY9CoaOIRg49XwRCX3XHdwr+a6GCw5VEbERFhkZyRdj OAyGQ1OSjXb8XUT+txcRWZQeedbKrcpoy4u0dNkhVIVgAB4MEPljJSJyKj3PecMFh5kbAje9 H899iwwlCIZhJiLLnYmI2bHke+oOq3c/jw4n8hmMdD0IdzEYqZoFh1kkIt1M5DNUlCAYr5du VdqeyGckcht0hXsZDNhLBcf62NZEPqOVOVZUiGCYahccM/c/So2XEIxgmHoxHwdEioMRuW2y oUxBD1Bw9FVROUJXd/QABcdA3M+6fN9MQ2mCrlBwDEq6aMgtJooafSlT0CgKjnF5XEDkFitP yxQqVnCHgmNKahQryVOUHUih4MDFg3ufBy0+lfaGsaDgwEO5v/+qhUKl7vZMkjQEFBxo3ytF wItjfMp/NKVVFRQc6J+njUdNuS+VGhmLWDLNbymqGvpQCg5MWKbLfwe/4ZaKqhrJeO3LUnAA ItLVlf++mnmYEcdrc44ykQ/wiu6rVDJTAdf9Cb9UcDCRDzBotX/CLxUc3U/ko23eELa6c6CH av+EXyo4mMgHGLTaP+FX11W5/8hWy5Hh7hzop3rZvsWV3ACMFQUHgMooOABU1nDB4amKSNzs TkVUPbcorohI6EujLSA3OxeR0A+a+wJBfE2qOzh+2MrOtZ0jLyKqfuP7jAMvOQwu5V5zBz29 c2m6sSy9N1VfpLnTmd25Fwdll4AuL4jP+fBV1ihZbM1MVodmdxvdf5Cs2tv59n5TzV1vr/81 W2y3ItLUvjM7t2jb+Nl0GjzUaYeHfza182i7yDvDr7jubdX8L+i680ULP09nu3h1t9++fWv6 VuX0Q0QWX+fN7jW6/VO9wGzXxs7dQt6beUPXqNnPIhL/8939dfouZjZv6gJ+u3P9TcxMG4xn OhSLLNvZ83xzUp23ETSJyO9mZtbSEf/LzFpo5lPV9bGJ3b5Y9txrY592WLnrnqRW025j525D YxGHmYgcUvts9uC0uvPUp7QYcWyjSyZebJ+8odbOzaydiONg5nJOGxHH4bLvpk+o2+nLu/32 7RvdtwBU8/n5SasKgMooOABURsEBoDIKDgCVUXBAJNXLyzVIh6nHqdeoiHiqrrMWsxBMGQUH bri+ex+qgaeu7S15arGNROQkctrMRSTaLgr3grGj4EC+H/mzuwyygxkaR8GBG/sPVdWD2c4s c6siIqofLgxRbX4YBQaEDmAoKzNVFJO/TRYdwFBBppig1JgyCg4AlVFwAKiMggNAZRQcACqj YhwAALSL1lgAANAFAg4AANA6Ag4AANA6Ag4AANA6Ag4AANA6Ag40Jg48vdPe9KTu0yq+KVTt YE3uUFWDuEwaHr/y+ae08F1ivUxhPxaxdnLWO1CU5wNPz0sUxEGSo+5/jMkx8At+p76qekE3 3wUTRMCBxszWx9RSCufF7Zfpgs8PJfRVNb5EJ65kvItTfLmUrQn3ynRBuUkmYI+DVGRzvQxn SlURUf0QNxOzH8pdiezen1M830rHVXc7yU7erJcSPHk2k4aLa7Ld/mMRd6wyR6CC0ofaffrF vMZXzj1ZYeYEXL5eJgXX1XtuD1TRK+9P6+MDdf5G+w/1ghLnLtTM1iC+HLfzokP+w88tcYSv P4TweqL0/qvpbbwe+uc8ry57pJ7YnCSyXV4mOP8MzWy7kP2HxiKBp3sRu7UUEZGdRXLajCI2 Qy8Z0DQRSZd0IiKL7eWvKJ393LpPCxGRhXt6lWTLaJt+5cHM7JC8xczcQlDJK7eR25y85ubF F9eN1w+6TfNtanO4Fagun7bK/KC20flTXHoyq1Vl0pB+5WW3UfLs3Y91UfRdilJa8lDfHopI RBaXo1n2Kz87We5dBys6WXkHqvRpLX+gnn6RokORe9xyP7fEET67ZOBrHsgm6Hwkrx7uxzIH TUQyAYf77smDXCJP8j9Qz7dv36jhQKc8nUuqCE75KfO3P9+k//xfEIssV5eVojRdwzH7IiKb udv8cdl68+L0TeH+Q9ULdhZJ6h5XRCznHvFZk8cy85bFepb6Kw42J3fFOmTe59KQ3jJbH7cL metcFtvdUkQkc0XcRsf7z09/Qb2tbC9/qHd2kOuhyKnhuJH3lXNPlrulPvvYy+qwvLzgy+x2 H8UHKvvKvNNa5kCV/CJFh+InEZGT27q/bCz+3MdH+Hzq10cTV+O1Orhss7sro5fy3M+/PliD dZ985uYkq4PNRNZHW4nMi6tSFr/+XOJjgcqYaRR4JPRVdqXKfYxOrDpfbKPjOhv1NOUS6b5a CHuqp9XBdq/m09DXj/3CrFzEBlTx+flJwAEAANrF1OYAAKALBBwAAKB1BBwAAKB1BBwAAKB1 BBwAAKB1BBwAAKB1BBwAAKB1BBwAAKB1BBwAAKB1BBwAAKB17QYcqdWZ3WLTnri1mN2yVfdb CvZy/gcAAJoS+u4qHAdetetyLW2vpRKr/ukW4fRU/zJziyB5qkez+y13qcsLMlj8BQCAJniq buHtyGyWd6Vu6oM6XUvl14VEl8engi1Z91+VaAMAgNK0uH3AhRfOb6pS5rr8gu4CjvXRlqHv Gllctcr9lhxm1yCDaAMAgIYczSJ3Eb5UZpS6Ltc1jOXpVfWcyiGkFgCAnlDtxYV+UMvTu+NF 11EAAAZoOAGHUL0BAMBQDSrgcKjkAABgaIYWcNCwAgDAAA0t4BAaVgAAGJ4BBhwOlRwAAAzH MAMOKjkAABiUYQYcDpUcAAAMxGADDio5AAAYjsEGHA6VHAAA5Lmss249uVT+37sT8AIzAg4A ABJ9vioOOeBwVGleAQBMUybCuL8e9mQtFemySSUOPFVPRCT0zw/iwD0IfVUvqLPTfhxEAAC6 4RpKLs0l5yXVk3991l3g46t+jWw9ExFR1YPZ/1T/MpuJiIh3WRs3P5UPArTkkAMAMDrpOowa 17qe1HB8fn5216SyS33hhchS5L+FRCIu4DjV3q/ryUHDCgBg+O6bSEZzcet0lEroq6qqF7jK jPXRludNfh/iLwAAOpZuInH3zkNpIqmq04BjuTMzs+P6btPupf2yohsAYCD60wnD3fEnwnPy zoK44Y8b+DwciZHFgQCAsXgQYbyXu+M3i0TEzJYivmp03mibecO38cMfFptGTw4AwFsNrhOG 6rybXg0jCjiYBwwA0LnMKJKehxcZceAttlHy585ML99nGzX8TUYUcDhUcgAA2jToCCNjtj4e b7e0V9sxroCDIbIAgKaNKcJ4o3EFHAAAvGZwnTCGYnQBB5UcAICHMjUWVGB0Y3QBh9B7FABQ ARFGN8YYcDhUcgAARIROGP0w0oCDSg4AmDAijB4aacDhUMkBANNAhNF/4w046D0KAONFhDE4 Ha6lEvqqnojEgadeICISB25L6Ot5CwAAeXq7IglK0i7XhfdUTyIiEpnNRDzVv8xml6eOxSlR rZvOJGMCAAYlU4eBeupfQBv1+fnZXQ2HCy+c31RF5NeFJBO4n1r61B4cZQBAGdRhjFt3AcfR LPLVcZUZ66MtQ7fJbzf+YsQKAPRMOrwgwpiCXtS0PPVqjRBdRwHg3e6nDEcH+tOkMt5RKhnE HADQLSIMpE0j4GAeMABoHxEGHphGwOFQyQEAjSLCQHmTCTio5ACAlxFhoLYOJ/7qA2IOAKji wUASoo2hC331w/NjVb3dEruZORvUi86rTzXWyZZWFQAoRgXGaGjeDXbmSqqqIguzo0isOjez 8hNyVtXpxF99QSUHAKRk6jASRBuDdplo0zKP07YLWR2OIiIyW4jEIn+s5M9LDcdJFs0maWI1 HEIlBwAwa/iEMA/HWxFzAJgY1lbF200v4GDZegATQISBvplewAEAI0VDCfpskgEHlRwARoFq DAxId6NULivFnrlusMmfQdxZQgBgqFheFcPVXcCxO4/KiUTEzJYivmp0GauzmXc7WtX9Ohki C6D30kEGEQaGq+smFTe1SMcfmo/JzgH0Eg0lGKVOA4448BbbKPlzZ5ZMhbaN3vSToicHgHcj wsAUdBpwzNbH4+2WN9d2UMkB4B2Y0/MlpW8UezLn1cj4ql8jW8/unogDnf8w2xW9cXpTm98j 5gDQvqKuGFwQK0i6y97PxI6u7MzWM/FVr+u8BZ6qL7P1g2hDCDj4rQNoCSNKMG6rX5aBp6oa ffmpzOsnOQ/HPXpyAHgZXTFalwwwLH1wk56Cq4Ptli0la4p27hQsbS0i5W7eCTiYBwxAfUzu +QalDzQdONrgq+5zNq8et6cITSpnZEoAxdKNIzSUYOIus2rZQmR1uPzxLNoQAo4bdEECcOd+ RAkRBqYsmTf8JLL/SCYM95++kYDjgsIDwAUjSoAiroZjJQu7OpR5IwHHLSo5gEmioWSUAk9Z p6slOzu6ISp+KCJLmlQqomgBpoQ1SnqrqNNMyX8P93x+2r++LlYvkDgo0ygwPqrezd9x4LaE vqoX5L4laVLZnESurSo0qdRAJQcwUlRjDEWmGSv3NBW9pvzZPM9aJTM7rlOTVsXTiTziwBM5 ncMHLxARb76J7Cgiy50tTpuiN24ju7N7GrQNY9rXTqenZXwsMCIMW8XElbyABp5+Odp/nn45 2rLKG0v6/PxkHo48xBzAYDH7FlBe6OvHXkQWLrZYHu2yadX4fX6nTSrJ6JmkZSjZEPSnYw/l EzAoNJQAtS3Ps2oc7zY96QTqny/mFS7e3QUcnqrZeW16O65FxFdNmoE28571nKAnB9Bj9PcE 3stFJcf1TES8S91B+PAt5QOOUAuuwU8/IxHLzIUXgVf2Le9BuQX0DNUYQK+kaziO7tIebT/6 02n0GrJcVtFJtmwjW88evbHrzq1JqQbgTejvCbyurQtoHOh8Y2buwcHs8dJ4n5+fFWo4rk01 oX9+HAduyo+SUsNnlpktD6KN96B4AzpHNQYwFMFvG5GViMhsvRD5KJi0I6164HPp0tpx1cgb hu9SyQG0j2oMoFXvuYDeqVbDcR5asvxdFtsk9ZV6qA6M+470HgUaRTUGMAJB0lO09OJtvQh8 nnpngMacHMDLkridHxPQsdYuoKHq32WWUHEq1nAU6/WQk9dRyQFUVFSNAWAsSi3YllY+4Fje z5yeeNw3ddgoI4FiRUtn0VACjFt8aVPxQ0kWjX2Mqc3LoWEFuJOp++MnAkzQ/kNFZPF1/vSV LwUcqvp06O0YmF1nNASmLd0bgx8EMFmz9dHW1d7C8vQAHqE3BoDH/HJdOV/qNFo/dYPDEFlM CSuVAHjMTwUD+3ITf5VvUlkOYgBti1zDCjBSTMAFoLxd1TEqNKlURsyBEWFcCYCa4iCZ7Mtr uknl7Dr3hj+xVhWhYQWDR4cMAI0I/9yI7F08cBL5KDEstmrAEYvIwUxElrvD+e/SUi0+XmbL YGZIp2zG0NAhA8Bj6atwyevycnc7H9fu+YjVqgHHzE3zZWauV0eFRV5Df7GN3EOzo4j4qtEl qZv5oKoNqORAv9FWAqCM0Ncglu3i/Gf563LgqfqhhL4fioR+W2upJC0pi210rLWufODpl6P9 rfr7JWR5PNl7Txa7u2JODvQMXT4B5HpwAc30izhYheuySKx6newrelYB8fn52eVMo6Hqh3u0 2EZHkaVZ8m230dDKSGIOvBtBBoBXJPFE4Kn8Zcsq12Vf51UrHeoEHHUrG3IG1var3qI85h7F mzDRJ4DGrY/X0qT8dfm0mesm+Wv1dJxstYm/7qf/Gvk6sQ9Q2KMTjCsB0Cv+pT/pNunuYVZm Vo6qE3+Fkgp/NN2AM01UcqAFtJUA6K2dRedml3QFR4kajipNKqGvH3u56WayqtNldDSYexTN IcgAMBCzet0hqgyLXe7uPmM/3SaVBDEHailqKyHaADBKVefhCEUWLuwws1UbKRoW5h5FFczB BWAcaszDUXWUytJM/FDMTFUX26jq2i0jRMMK7hTlCGILAOOwPkYbneteRPZ7kahE6VZjefqP /cd5FZXTZk6TyhkxBwpQkwFgjGbbhZiZ2UFWhzIdOlmevglMyzF5mS6fZAQA4+arysGVdEv7 xVf9u8F5OJxYVePLQBX3GCLUlU8RHTIATNbObCe+a/jw3V/PVF68TUTml2jj/DcSNKyMHUEG AIhIHHhupgwR2X9omU6jVQMOuV2PloI2haMxUgQZAJAR/TitDtVmGq0QcKQmNPdCf/JTmxeh kmMUmCEDAB74e+8qNhJN1nCcJzU3M5HTfHcOaZbVU6mXadglFcQE4+gMwrQcQ8aSJQBQ0u/b RdW3VGtSccGBiMxrLd4W+hrEkiTSV01WftnMx3KR5ho1KAQZAFDDn5vTNrJou5DVwaJtmbd0 Nyz2vALL/rziy5dxl+sMke0rxq8CwOt2rvQ8L2y/LFOWVu40WlvSsWS7kG1kS5GdWVJTso1G VPDTsNIz9PoEgGYFnt5qYZTK69ZHW19G0yZRyHpk42u5mr0bQQYAPBWfA4dUuHAeFfIkgFgf DyKrSqNUdBBDW1WHkc4bSb8AdCWpVOKoA4BT7gIaq/5mdgw8/XI8Dwdp9sr7+fn5hhqOqaBh pRP0+gSAl81ETiLy/STzy6Yno1CS6TFcfUiJISQEHG3i0tcOggwAeF3oJ5HCeWqK42E1V889 dVo8GnsS/G8vsnCtKQuR/f+Cpx83jKaKQTapODSsNCEztAQAUFJPLqA0qbSPhpW66PUJAL3l WlTiZLBKiTYVAo72EXOURpABAIPw378iIvPNqfysFuUn/sILzAg4itBcAgCDsz7aOnlcruym hqMrxBwicluHwdJoADBQgafqhxL6fnjuffr0Lb3oS/JUT/q8vGrCHUhzY61JHgkA6FRrF9BY NRlCK5HZ4/k76TTarYl15ijqkEF9BgAM3yw1zaj92c+pzSdt1DEHbSUAMHqBp+oFIuKrep4b peLtSkxtTsDRuXFdfhlXAgCT8uMki19/FpHft4uT/GpmZscyb+wy4Ijv50BNtgRxhwnpg8FW clCNAQBTtjM7rmciMlsf7bh++vpElwHHub3nsJL936GI+KrRpflnMx/qBbiOoTWsUI0BAHjR G+bhWO5spRrupn29cqNk3QW8fzJzY/QyjQCAIeky4EgNoVkddiJLM71c2cpPVTYePZuZgwm4 AADt6TLgmN0PBR7D7BqvcDHHmw4C1RgAgM4wtfm7dRtzUI0BAHgLAo4eaDPmoBoDANAHBBz9 kO7P8XJQQDUGAKBvCDj6IR0jVF9yhWoMAEDPMdPoUDE3BgDgJaGv6omIxMF50GgcuC2hf56/ vEHUcPRDianAqMYAADRpuTtfSmY/i/wQEW++iczcMwtVkQoTiT5FDUefpKspVIVqDABAq0Jf vUBkZrYTkV8XEl2eOTX9UdRw9MVt7YaJiKlOfZ4SAEBrkrk3VTciEpmtjyahrx97kVXjFyAC jve7b0i5nOV3TgsGABi3/JBiubMSa83XQMDxHmVHribDZQk7AABDRsDRnZrTYyRdOog5AACD RcDRumYm9KKqAwAwZJ2OUokDT1U1facf+qqq6neZjA4kQ0tEmhta4vaS7BcAgOHorobDV/3F zNbnx7+b/ePpl6O5zik6/BEZ6ZqMFr9KesaOgR8xAMB0dBdwXKYXiVXnLrb4fpK/Ls8uOktH ozoKMu4RdgAABqXDJpXQVz8UmSU1GcfDan6ZQvW02HaXkte00lxST7qRhXYWAECPDaMh4+0N Ls2t5NqmYaQSANCdt19Anc/PT0apFHpbc0ltSSqJPAAAPUPAcaPmVBl9cx95yKC/DwBg8Ag4 Rn1RTn+fMX9PAEDfTTTgmOLFN/M9M51Mp3IUAADvMaGAY4pBxgP3h6B4ETkAAF408oCDIKOC 3AOUO9qWQwkAqGiEAQdBRpOKjiCBCACgivEEHAwF7VT5QKSo4oTzBABT0unibY3r0aSfcJLT kD4fyXlKnzBmRwWAPgj99BKqehHEDX/O8AIOgozhycQfaYQdAPBey9+Th75qZGebecOFc9+b VC4XI0tHGBiwpM6DYboAMCV9DzjSuAaNx/25fDpMl9MPAC3bmeml7N1GDZe6b2hSSbcVSeir 6s2WW5cqDeVyMzlP+4IAABowM9slf1xaVGw9a/hjOq3hUFWzKPkz8PTL0dz37Mlydug1akEA YLA6reHIhBTfTzK/PF50mQ6MRpkRMVSHAEAPvHOUyvGwmqsnIqGvp8X2jSnBeNyPy033NCYW AYA3GUZDBg0uaBcTpwIYqZ5cQD8/P4c0SgVoy4NfY1EVSJkfMBOqAsAFAQfw0OOI4WmLTDKB DABMGwEH8IKSa8o8iEuIRQBMAwEH0IKiCVUfKNN9legEwGARcACtqRQf1AgmKg2xIVgB8FYE HMBg1Y4hagwGLtN4REwDoBgBBzA9jUQG91FLg3EMgNEh4ABQS3o6NWk6dGh2QrZmAyyCJKAW Ag4Ar2njAtzlRb1qcFMvGBpQmMJYbrSDgAPAtJW8snZTw9GfufZHP5abuKpzBBwAUEI3V6a3 X/9a7QXcn3AqMe76quTb9SO6IuAAAFy0ek169wXvaoijq14P19692MI7V4sVEQl9VVX135wM AMB03C8l3X9FS2E//pd5+70Or8LvrOEIPP1yNLOd9GY5OwAAxsPsQcVGx1fhd9ZwfD/J/PJ4 8cZ0tEl72GZZznBTDqC3hluwDDflD3R8FX5nwHE8rObqiUjo62mxfWNKAACYmo6vwjRkAACA dn1+fr670ygAAJgAAg4AANA6Ag4AANC6AQQcqqqq4buTUUrxgOY48NwX6T5RpTwbih36GsRd JqisB9nDHXGvn+l+mPIh5XkRERnQVDpx4D045r3NLVKcckfV6y4pFeVnjzjodZEoIgUpvxTm w8jzvcrYPQ84YlXfzMxsHng9OWRFAk/D5c7MzHaZX5GvGq2P7ov4qn37Gg9SLiLuLPz37xsS 9syD7BGqF7gjflzP3pbAQo8ythsNb2b/eQOIOVRVpG85Ol/oqxfE/3w/3T+TnI7jOlIveEPi HipOuYj7/fb1FBRlD181nq3dMe8+VWUUpTwOvD+/uKLl997HHL3L2P0OOOJ/ZPHVPZz9/Ovp R/Te5Dz2YEDzzmwpIhKr6s6sbxfAByn3VGOZuWlheudB9gj/ltP35I8+/NJuPMvYrpzbnOS/ nl5Hrnp7wbi33BVFn0uXwwNP/XBpx3XHCXuqMOVxoF6wPrripY+Kssde5J9L3u7hPZgUpzz6 cdr/LxARCf8U6eN9WErvMna/11KZreWkQbxez0Tnm6jfRdvxsFL1zI45A5pDX//+xXbLfpbO D1J+7GWCzx5kj+VORINY1jMJvI/VHz37Fs8ydiTiLi8/kkdok6tVWh97lk+emq3t+O401GKH lc69tR1F4r1IL29oip1+JI/emYwS+paxmYejXeoFfYgraxhqykM/Xu4GeY0ebsqHa7jHfLAp H2rBMuSU98Tn5ycBBwAAaBcTfwEAgC4QcAAAgNYRcAAAgNYRcAAAgNYRcAA48+/mT1RVP7w+ Ps8L5+aIdE+4OWr9MPOu1Gxmsar6/s2ckm6uxra+BoBeIuAAUIpZJCJBLN58I4ut7ZYiIm6O 2l3h1FOqc1kddjtbiPRuBjYAHSLgAFCK6lxE1jM5HlZy2pxrNVxtR0EkEfoqIrL/UNWTiJw2 fv9nawfQjn7PNAqgQ7u7SezT8/RcHy9TL5ytzQpnQ1re7xHAVBFwAGjY0+kEZ+tjcZQCYJxo UgEAAK0j4AAAAK0j4AAAAK0j4AAAAK0j4AAAAK1jeXoAANAi1qYHAACtI9oAAADtItoAAADt ItoAAADtItoAAADtItoAAADtItoAAADtItoAAADtItoAAADtItoAAADtItoAAADtItpAYzSH 39qnxarqBXHltwVeG6lJ81VVH31Kkoanr3z2KVrvvQ8EXiu7fa9LZi9oWRQAACAASURBVAzf nZCXhe60Z09Q6Kt6gYh4SY66vLLouydPJ7+hwBvFIUJfEW1gQnzV+eZEGiYl8FREzMx2y3en 5UWxfuxldbhbSjP+2MvhuH701v1HKkYJVXV/+WMzP98VrI8H2X9Ujt+Bcog20BhzDisROZz/ 2MWBp6ruv+4uKrndOr8tDlQ1vmxP3VzFlxem7/7j+3s7L1WJcnvHf36xqwIJ/XMJm/no9O3d fWrvuR2mEha6neS+3O0q+V45abj8mXxzd1Oa/jrutrWG0of6XKVRVFdU4ivnnizx7jZ67uvc 3aNnDtSDV2ZOq/PgQP1IhXZlzt01IcmJiANVvaQrTCcy+7nPjvDli9zvxEsSk5KpGoxEZPVL NmYK/bmI5EZSl5+hRduFiLhP9PRDkl+r2XYhB9uJnPcxp3oDLTGgWTfRxrmYSzKbiMhie34g C/eKTJ48mJlFt9sWbteZVy62kZktRERW7uNW11x9++LV4bC6yfbpP90L7lOb6+Ytt3vZRkka FsmhiC673UaWSUPyylSyM4cocwSu0m8pTGepQ22ZI3G/22dfOfdkZdJ/3ucis9WduLsDVfjK u9P6+EClExuVPXd3yY62cs3Sh8vH5n1uuSN8ee8qOVCLbXSfvZMXZI/nYpt7oi8H7Zr3DtdX RZeXRclxu+eyf+5TwCu+fftGxkLT8qINV5SnXS+W0fZa+l0fH65l/cVNURht5WG0kX7x4vIg 96KefnFRatOul5Z04Z7a4Sq1MTkoyXdMp+H6yuR6dvvgnJLLxTj/AD7z7FDfXH4Webt99pVz Tpa7lF/SfP2I9P7zPut6oHJfmXNaqxyoZ18kuSTfJiA32sj93OIj7PKqRVv3wOW0ojQXuB6c tOvOH0UbSXxzSL8+45oqoFHfvn2jJQVd+Hl2fpDUJ+9vX/B1LiIisy+XDUtX1qerlNNV4jL7 +XYH/2Y+Mf3i4919tkgoIqs/zk3d6z9W5023qS20+NX9/yQicrrWkJ++374uaV/4eLLD2VpE Prwg+G0jrkY7+iHnNnXVj72I/FOxRb30ob6pn//1rkrh7NFXzjlZf+9FRC4HciYisv872Zf7 30/XvRcdqOwrc05r1QP16ItEksoVmUPxX2a3xZ+be4R/+jITEZmtj+uZiMzWf4mIH4r/sRdZ zERKtKTkKpktYhGRxVeRuYicvv/z+h6BSog20KE42JxubvETX+4u8MdLUCwiIvtY5Jf0e+L8 4jK5sn5NXSr8nE4VSxHZ/+/c3B78by8FLd+P3d2dH9PPejq/PHtfSZ51WImcNpuTyOogIjL/ Krc3suunMVBahUO9FJH93+dY6/uzDqy5X7noZCX9YUREVr9c9vGT3Co+UNlX5pzWugcq74vc HIr8vrzhJWYq/ty7IzwXkX/P0Up46eQxW4nsP/y9yOrgss3y7oZwV+qblBH+KedAaiYictpc n/ELuygBDSLaQNf+/S8WCfdPXnW9z3N/z0SWu4MkN9Dza3H5k8jNTaqIuA72lxfvReap/oOu H992IXLauBdcr/G3no5QPR5WkuqMWVRq+3d1G3oXAC13594PkRs6MVvLeSSBk5+Mmxvhu+59 5Q61rFKf9HS0TN5Xzj1ZkYjML2dLRMoMCbk/UBk5p7XcgSr3RW4OxfWlsy9yW40hUvYEuZeu RE6X98tp40797rBy4fFrY2VmInL6EeU+d03dx/WDXEiXfmYzP1eiRD9Ocq2RAppEtIEOzdbR dnHazFX/du3KxfdUS0s1f1weL5MOiekef7tLE/tim+7leX2xrA52XIvILtWfcX289unbRnWH Ry53yU4Od3fVrqpfVX8xk0tVyi7bpzIxc43uyT7s2lNylak1ea7CoZbdpT+ELLbZzrP3cr5y 7smapdK/sJzGrKvcA1X08fenteaByjt3yaHI5qXLK9NdYst/7vUIi5jZ7JIA996yCS6wknQr VdGL0t1pl6mUu64n50qUv/cNpAfIpY9LAWDiVP0mK7QxHIGnm5O0WEKGvn7sV4eX5wGJA51v Gkmnqm6jim12QAmfn5/UbQCFfFVCDbQh8G5aN14yWy8uc2m8JPRFFoQaaAl1GwAAoEXUbQAA gNYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAA gHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAAgHYRbQAA gHYRbQAAgHa1G23EgRem/lRVVX28BQAAdKOz63KL0UYcePPNKfnTU91GZmYfqnHBlnyqotpe OgEAmCCtfV2urq1oI/T1N/lru0g2xCdZrWciItF28VsQ523Jk8QZBBwAADTKXYW3C4lEyl6X a2kr2lju7OiS7MT/yOKrezj7+dfTjyhny71MhEHAAQBAQyzaunaTjWyXknelbg69RAEAmCKd byIzM5PTptGKjBxdRRuzn+X0wz2M//m++DrP2XLP7NGfAACgnjiQxda1QVi03fwZlrou16XW 5iU88PTL0Zbuk1S3ka1noqqR2SxvS0EaLw0oRBsAADREVQ9mSxFVXR1styx9Xa7o8/Pz/xra 1XNmpqobkcPlC9xvKXonPTYAAGiWuwqLiAs1pPx1ubp2o4318aY24r4epWzNCgEHAABNq39d rmhQvUQJOAAAGKBBRRsAAGCAhhNt0EUUAIBhGk60AQAAhmlo0QZdNwAAGJqhRRsAAGBoBhVt 0HUDAIABGlS04dCYAgDAoAww2gAAAIMytGiDxhQAAIZmaNGGQ2MKAADDMcxoAwAADMcAow0a UwAAGJQBRhsAAGBQBhtt0HUDAICBGGy0AQAABmKY0QZdNwAAGI5hRhsOjSkAAAzBkKMNAAAw BP/37gQAAIDmpRsA3t4BYbB1G28/cgAAoJzBRhsOXTcAALil2rvLIy0pAACMRN+CjATRBgAA w5YJMnrY12DI0YZZf6M4AADa16uuoA902m9DVVU1fLilxk5fTBUAAMPiema4C6DZ+V+fdRdt qOo2MjP7UA1iEREvtSXuLB0AAAxTOsgQGUCQkegq2ogDWWzXMxERs8Pmt0AkPsnKbYm2i9+C WvHGUA4zAAAvuA8yhnUB7CramH2R0/fz4/BvOf2Q+B9ZfD0/+fOvpx9RRykBAGAghluZkdFZ S8pyuzi5Xhr699eG903XDQDAiOQGGQONM5zu+m2sj3b2u8jqF5n9LKcf7qn4n++Lr/POUgIA QD+NLMhIqHX1PVQ1MpuJqOrBbHnpN7qeXZ+qveuRnA0AwCT1f8KMV3x+fnY334aZqaqIJIGF 27IRObwSajgEHACAARrKhBkv6nR2r/t6lM5qVgAA6I+JBBmJga/K5kzhRAEAhq9PY0xCveGL SOgnf3rNftgoog0AAPqtf90/l5exGyYiZjsR+diL27JdnOpNg1VkRNEG42ABAD3T/ynGA09X B5emUBZbt3H9x2rz50vLimQMeVU2AAB66b1jTDTv9rugo2S8OYkt3cP/rpvnDc+MNZa6jb7F igCASepDi4nlyX1lHPy22F7m8p59uT4R/Wg2Sd3Nt9G6pKIKAIBuDXTCDF/199QkFKrnqCDw VP6y9auzU5x1Ot8GAADjM+ixrHuRXerPwypphVm8PBHWjbG0pMgATzIAYLD63/2zjEz7xnKX NLwcm/0g6jYAAChroC0mbze6aIMpzAEALRh0i8nbjS7aAACgOQQZjRhXtGHGHF8AgNfRYtKs cUUbDo0pAIC6qMxowxijDQAAKqIyo1WjizZoTAEAFLuvuqAyowOjizYAACgnPcU4WjWi2b3S qN4AAJQw0Fm5Boe6DQDAJNzfhxJndGaM0QZdNwAAF3T/7IMxRhsO42ABYNro/tkf4402AACT RGVGD4002qAxBQCmh8qM3hpptAEAmAyCjP4bdbRB1w0AGDXijKEYdbQBABgjgozB6XR2L1VV 1fDhlsaQAQFgdFRvJgClpB+K7qINVd1GZmYfqrGIiHh3W9r41JZ2DADojAsyXInuggzijGHp tG5jPRMR2S4kEhGJT7JyW6Lt4regrXgDADBcVGaMQ3f9Nizaqssyi62JSPyPLL66p2Y//3r6 MxKZNf2RjIMFgEGiZ8bIdNiSMt9EZmYmpw0VGQCAXFRmjFJX0UYcyGLr6i4s2m7+DGX2s5x+ nJ/85/vi67ytj6Z6AwB6j54Z46bW1flU1YPZUkRVVwfbLc/9RtczUdXIrOl2lPOnilANBwA9 xSzjU/D5+dlhvw0z12/DhRrJlo3IoaVQQ+i6AQA9Rc+MSel0dq/7epSOalaYVBQA+oHKjGli LlEAQBeozJgyog0AQIuozIBMItqg6wYAvAOVGUhMINpw6LoBAJ2gMgP3JhNtAABaRmUGihBt AABeQmUGnppGtEHXDQBoAZUZKGka0YZD1w0AaAKVGahqStEGAOA1VGagnu7WgH0zfhYAUBdL po1SHHh64ZZmD/1kg9fsZ00m2gAAVMf67yM235zMOazmfigiH3txG7aLUxA3+VkTizboKwoA BZIKjPQ/oTJjrOJAVgdXu+H997vtliKhLLbuyfUfq82fYYOfRr8NAEA+IoyB0rxb6+wyqNEP 2W8kMptJ4Kkn0fHn/67Pzr82m6Qp1W3wuwGAAvfDTCgyh8vyZF80/yqL7XomIrI+RqfNnzL7 cn02+tFskrSjNd97gkGwAHArt4WZknICYtX5OQaIA/1N7LhWPUcFgafyl7lY5HWfn5/Ta0kh 4AAAEWE469TNDqtrm4sLMlJbFtZQqOFMr25D+FUBmDSCDHRsenUbTGEOYMKIM/AuE4s2HBpT AEwMcQbea5LRBgBMA0EGeoJoAwBGiDgDvTK9aIOuGwBGjTgDPTS9aMOh6waAcSHIQJ9NNdoA gLEgzkD/EW0AwCDdzzUO9NYkow26bgAYMiozMDidrcoW6g1fREI/+dPrKhkpBBwAhiZZBV5Y OA2D0lm0sUwvQ2e2E5GP/Xmduu3iFMRdJQQAhsYFGcnSC8QZGJyuV5wPPF0d3K8klMXWbVz/ sdr8GXaaDn6pAIaAygyMQ8f9NuLNSWzpHv533Tz/ev9Sbbmlw9r/CAB4QTqyUKH5F7X0ZO3V TqONOPhtsY3Of8y+iFwCjuiHyJfMi1s/QKquUafdTwGAKgp6gI6/pFLt15rkfUvP0HV6NH3V 381myWdfzmXgqfxl69mDt7aA1ecB9MnER5r07eret/QMWtcrzu9Fdqk/D6ukLWNhHYcawjhY AH0x8TgDU9BpL9FMnLjcJeNUjl0m4wYBB4A3YaRJu0Lf73b4wTRk5rO48eB4dz0mBQDASBMM 2cLyLB6+Z5JziQLAm9Bo8iq63L3Z0s4jS7OOD0/KtOs2yK8AOkGjSTOSYI1G8DcL01NIPG5D caYdbTjkWgCtodGksiQ0u/9X42VojaqW7xlDSwoAtIJGk5oeHCyOaZ+YRaq6l1WZF08+2mAc LIBGcUFsUVJic2R7YWZmnuqpxEtpSRERGlMANIBGky5UObL7j+vgzFYTNT3LZEqLo5kVdRxN IdoAgFcRZ/RRak4nZgVtTv58G0/7b0y+JQUA6qLRBCiJug0KCQCVUZmBqVqeK4uirYgkVUdP W1Ko27hQpcAAkKuo0Z8yAyiJaAMAqiHIAKoi2hARxsECKJQpGwg1MG2h6kfyRzLY5/CsMYVo I4XGFAAp3IMAd5b1BvjQSxQAbuSuacLiJkBKGMTXP3zWSQGA8hhpMjLM69WezVy9IPZUVXVf 4vW0pFzQdQOYMGbOGKNYFls7rt+djFFamkWqcxEp2bBC3cYtAg5gYlgIfkAqrfOqOpfTRr0g 2RIHnu+rqsYifjILpheISHj9228v/b2T+tpJy8izuUGTuUTn5V5/RrQBYIruO2egJ5pacN4s uq/b+PdrZGYzCferg5uWaiubWOR/ezn/bbuuvuj7hX/vt9H5a69nIiKeqtvyoRo/e3slRBsA poXOGVP205eZiEj4d7Ji2+YkkcjRossKbt6709idv/figoyL+CQrtyXaLn4LcuONpeVhVbYq KHWAUSPOGIT7cUC5jVwlX5Zv+YvI6vZKOTtXdSxOTxsFRmN/aQdxrUsS/yOLr+6p2c+/nn5E eW8KiwIy72F7CtHGHbpuAOOSO6IVQ9TcUOTlSvaaqswIPE2qOp7epo9Gqm7iME91cHnmlLsM 7Onhe5R1eG8kBRKA4WOkyYCo9ut61Lf0tCxW/dPsd9U/Xc+VOPB+k7+Otw0ttX1+fjICFsAI EWcATyURVeDNVwf3O9kH8W49k/nmFFkzoYZDtHGLWTeAgUv3zADwgJm52c+2ke1m1y0bkYM1 GmsQbeRjwRRgaKjMAGq4by1qqf2ou16icdIJ5zKKNzWtyIRGHAFoFiNNgM6FVWeF7y7amG9O l66vq7kfisjHXpIRR/nDegGgGHHGyOSOdHiXdx+MnluaRZKcMv/5qOGuoo04kNXB1W54//1u u6VIKIute3L9x2rzZ29GOFNiAf3GiNZRyp0z6r3efUh67jxDiUXby1RpjyZ9L9tvw3+0yNvq +VSv0Q/ZbyQym0ngqSfR8ef/rs/Ov96/442hpb334wEUSl8AVJgfB3imtbApTpZKkdXBdnPV eSi7otlKKvQSXR0sZzehrx8l3jz/KoutG7i7PkYb/VPWv4hcAo7oh8iXzDveGVeqvjkBAG7l dQLlFwq8S6j6IbcXysXDN3Q2e0msOj9/Vhzob2LHtV5H+qr8ZQ1NItIE5vgCeoPBJsDQdTm7 1+ywurZOuCAjtWXR8MDeFzHrBvBuBBlAn3mqp9XBdktP9VSiQ0Wduo10H47RNjdQvQG8CXEG 0Huh6v/Mju4PVT08XAb28/Oz7JgUP1UA7C+dhx830gBAJYxoBQZiLnJZLDcO3N+PlW1J2V3m Nz2YmUV6meu0bkJ7j8YUoCtUZgBDM9su5CP56S62T3tDVOi34RpNXJyRPz4FAKogzgAGan20 dZXXV5jdy80YtthGZvb1f6qq6gVV0zcwVG8A7aDRBBi09Gokqvp0gs4K/TYiMzP79fs8Flkf zczsjx8vJhfA1BBnAMMXzzenSm8o25Lyy0rmlxLiWnmyfDaF6KDRdQNoDo0mwLgskjEpZZSt 21jupjp1PAEH8BoqM4DRma2SMSnlVGhJyV/jLfQfL8QCYLKIM4CRCvciH1X6bVQYk7L/KFqY bVV+JwNDYwrw/9m7eyS1se9hwPf+a5YCE3TNCmAFMMlETp1B2CSTuer9ddVkTiBsskkdOTGs oFmBy8HAXvQGApoPQfMhgSSep1yubhAg1AIdHZ177kU2gwygdjrnXug4NbexcSFlX62rN4KL KXCq/bnggbpKB6WExeiUSypnjIAF2LSOLTaDjCDOgAcQY0wHpSx+fOuecE4u2gByI86AxzAN oZVeTGk8v/VCyLNu40Ep3YATCDLgkXTSItGw6jD+YUWF3MZpBBywsnPdBHhAm1Wip1SMXh5t LEZtY1/hoewXZ6z/AY/mrC5cchsn8FXKw1MECmyYxm3qNvITo69YHpCO48CezX4b0xi/fzgr /Bm9RHecOyMLUC3yGcAJOq0wXny0kCspp/FFyyPZ6dBl9we2bV1JOSX3cOqVlNf6dww9gYsp 1JqLJsAFWsN546Nl1G0A4gzgLIXNkwLUkuIM4Hy7Y1I+HJki2jiZr2HqRZwBXKrTCmGSdtuY D0PopT8eGZlyfrSxGMUY+9MQ26MrVrSyNFCk+sQZwHWmsxCWsUXjuRXGH/bbODPamPZjc7D8 eTZojz4c8wKUiMEmQB46IYTNMSm59dtI9bvj4TyZD1shhGQ+nA2+XrieFeW7mcraiTMArlHs PClPrTBoLudG6TcHofV0+mMXo/Y6DkpzItP3lmHts1bjzlxMoTo2Z1ATZwD7FqP2+ih81nH5 rHlS4rmDWOLGsfasx47a8fe3rRKSGJevPmrH8G/y/OFw3TJYf21DuRnUCnxsMYqff4XZzyR5 C+ccl0ftmHYUTya92F0+/JCXl5ezq0STDWc9cDBb9j9fVXtMQ2uY3vX8pTf4+mGJSTn42qb0 FIECJ4rNb8nb36vfTj8uLwazVcah8xrCLOdZ2foxjkMIrWHy9nzWA1Od1yR5DdN+bI/mb3/+ 935HM+OKTCzrBYsklHjleHSbkUUMrvsBK/s5glUmYzXgY/HBcfmARQih+dFC50Ubr0nyVz92 x4MYB+HMKynrhTuv8278Gp7/CmH1xua/Qvj90PKlE2Mo8+rxkLKum9hFgYMWo3bYOHeOsZ8k HxyXNzSGreVjY2yG1vDDUoiz6zbeHxljCL2Tp0+Zxvh9ufBiFD+H5O25knUbKROmUBqbF00A zreI8fO5dRtneXl5OXuelGk/dsfLn8+Zqa3TC930OkxYJQYmvXVU1UoqFGpAOYgzgHydfFye xtg9K1txXm5jWbfRmySvH3byqDUjU7gfg02Au2vH+MfJscDZY1Je07EoDx5qwJ0YbAKUw3QW wrh70nxsKTPOXyRJ1PpzS/IZQJkUNuN8P8bY32gyttQ/fxVrRMBB8eQzgDKZxthe/X+Gy8ek PDqlGxRMEShQPtMYu/u3To5ON3923UY/xv7q4sy0Hx900vmUIwCFMbMJUFadYeuSh51at7EY tZtpS/TuahhrCCH8uuQ160TjDfKjOAMov+e35IJu4qfmNhrPGROuTM7otwEcpDgDqLczrqQk e/5rP3aVqGMCVxNnAI/gzDlgt0elpJdWHp2RKVxEnAE8jjOrRLvj1nA+bIVJkkx6oTdxJQXO Js4Aqm7UXuYd0jEjHy5/dufyp3nyPO+3//v77Xn+PtHaI1MoyskMagVqYRFjM0mSdBa3GGPO I2D/6oXB51Ho/DUbNGPshtbTletbEy6m8BGDWoGaWoQQmh8tdF7n8s5r0osxhGTSC91xSN4u GAUD9ZcZfwoygLpoDFvL2WJjbIbW8MN53PUSzYOLKWzbiTbsHcAjO+NKyt4MKeZJgWxCDeAB LNqjRQihf1otgTlgcyK9gQIe4GGkVaIhhNdkntaKHl/+1NzG635vryQxIAVS+4Na1/8Aame6 8XNj5/dMZ3b3CmF5BWUaYowfPvujcEh5YJpnAI+nE1bxQForemT4a+q8aGPUjiFt7xXCpBe6 jzwH7D5p9AezM6hVnAE8js1LJ6cMNzkv2vg1C70vy1Gvnb96Yfbwc8DykDTPAFgXVZyy8HlV oq+TXlzOOB/HIfQmvmhXkkRu4xFoBgoQwrLZxtrxXqLh7DEpnddk/hSbgxDCcJ48f9jO49EY mVJf4gyAlWk47QLK2vkjYBvPSaKFKI9iM3wXZwCEEE6oCt11Rt1GfzUaJTVq6+61zbGoXgw2 AThgGjbGpJwyRvXU3Ma0n5ZrhHE3Ps2TQVONArUlnwGQr1NzG9/TotAkmfRCGmro7pVNrWiV yWcAnKCz3epz/uEDzriS0npazSjbGl48l9ti1I6xnf48fZ98pX3Zs0FexBkAp9ueNO3DCefP iTZmg2aMsTsOYTa4cFa2xaj57Y/1b93xcrTusDUbLc57ppJyjKogcQbAmdIxKZN19iHnXqJX is1vydvfq9+moTVMf3r+0ht8rVEbdBdTKkKcAXCpVgidMBukP+VWJfp6dY3Gao64VRJj8d/7 fc2nzOWve8H7SA9YFV35R7IZWcQgRARq6uLKh6M6IXT70zBshRPnSbnRjPOLUTtsHINj7CfJ XyGsAo75rxB+33lIMRvoJk6Ye5d7yWrS5Y8FcJ7lYa5zagOu2x8XFzF+TpK38J7tCKN2DP/W qDPpegoNykQzUIC8LEbt5mC2/vV45/KXl5cb5TYyTXrrbEcrqU2oQfmIMwBytdgMNU5x0yrR EEIIjTSxEULovK6H6r7dfDWK5JhWGiZrBShGa7PhRrnGpDwWZYd3Jc4A+NB+3/HTOpE3emF2 1lBS0Qa1kgYZ4gyAD8UYJ0mSJEl3FV60YxzOl7ccbYM1HYfQPWeeFNFGMdKjnPTGDWmeAXCW 9RWQYSv8twghLGahl47YmA9bn4+13dzpXO5KCg9AnAFwocUoxvjt0/y5EcLiR2gt2181/vw0 +/XB7Cf9c7qKizYK46BXPHEGwFUaz0mSfPnVjP3zOnrHuJwZPoTxKQ0tRRsFczGlGOIMgLx0 Xudh/D00/gyzX+ktix/f3qdizZDOk7IUTuhcLtqgYsQZALlY5yRG7WZr+HcIjRDGabVGczD7 91jPzWYIYVnXsRgtfz/qnt296i9J5DZytLktBRkAV0qSJA04epPkrfN+yyCESXK86WZjPmw1 m3GQ/tabfNihU7RRvBgdG6+kGShAEfZnLzlxPpPG89upU6SEEFxJoeQ0zwAoo8VotAhh2o8x HhsquyLaKJgj5KXEGQClFZuDX/MQu+MQwqBpTEpJqN44hzgDoNymIbReO9MQwjxJWieMSVG3 QYmozwCogmYIsxi7IbTm/TgLQS/REtDF/CMmNwGolMZ82AohTJK35lNrcsK3djyx+pSrrA+k bDOoFaD2Xl5e5DZuwoF0ZZ3G0KQLoLpG7eUsKWHaj7H94fKijRtyMWWPOAOgghaD2aozR+c1 hJnO5ZTITrglzgCovkU4oXO5aONWHvvQunndBICKawxby2lWYmyG1lDn8pJ5sC7mikABaunM xuVyG7f0SMdbRaAAD2OqbqN86n5FQZwBUGOrwSgx9qchhBhjjN0PHyXaIDfiDIC6W8xCmCdJ kkzCuJuWbgzniV6iJVPHI/B+J9A6vksAQgjzEEIjhLRZeWs4T5Lk+cMaUVWi91GXWlFFoACP 7N9TAo0QgtzGHdTisOyiCcDDWnYRDaG5KuEoUZXo6L2wZHmYmvbXN3zc9LRuKlsrKs4AeGCd JEt56jYWg1krXadJL4wWIYTQHYf0lmFrlt5CaSnOAOBid5gDTceuFwAAIABJREFUNsb0Raex /V/y9hxCCNN+/P5X8vphbFQj1SndUJwBwDVeXl5uWyW6GMXmIISwCKGx+O/99ubT/rKxstca TpGESrzDzeAi7VB7rzUB4BK3zylkum200XhOkucQpjH2k+SvEFYBx/xXCL/vLFuSDVSUGEOJ 32NWPqOkqwpA+d2sbmMaY//9t9ZTCJ0wG6S/jf4ZD/9+pMsoYXUML1muQHEGAEW4WW6jM2x1 Yxynv6Tn9JPe+mJCKzl1yC6FUJwBQHHuUCXKuxLUioozACjUzatE2Xe/gEOcAcBtiDbuKknu Urqx2Z4LAIom2iiBW6U3JDMAuAvRxr3dJL0hzgDgjkQb5VBYekOcAcDdiTZKoJj0huIMAEpC tFEa66ZaeTxNSpwBQBncbsZ5jlnHBVckOcwFD0A5yW2Uw2aQcX4Nh3wGAGUmt1EC+/mMkzMc pjUB4GIxxhhje7TYuWWa9wuJNkpgP0b4KGrYnz4NAM4SYxzOkyRJwqCZBhzt1S3dGBcfPv4c oo1yODleUJwBQB6mIfSeGyGE8JZMZt9+hLCYrW6ZD1ufR3nGG6KN0jgtn7FeVpwBwBU6SfKa /jRqdydvz2HxI7Se0lsaf36a/Zrn+GKijTJZBxHbdRuKMwAoyKgdf31JOgW/ijEp5WWkCQCF ijHOk+Q5/aXxZ5h9TX9c/PjWevo3zxdKHMdKYCewEGcAULQYd2OAtG70ubGMQho5vdDLy4sr KaWjOAOAwk37YTXeNR0FG0JIkmTQjDHGSX6hRsqVlNJZRhgxhiizAUAxOq/rKtFNBV3xkNu4 v+xWXlnlogBQRXIb9/TBNK1pBUdhk9EDwG2INu7j1Ongi5mMHgBuSbRxa6fGGTuPkd4AoLLU bdzOhTObKOAAoOJEG7dw7QxqAg4Aqky0UazcZmoVcABQWaKNouxMopYDAQcA1XTTaGPVr2yx c8v0litRvAInaxVwAFBBt4s20u7rSZKEQTMNONqrW7oxLj58fBXcYlJ4AQcAVXOzaGMaQu+5 EUIIb8lk9u1HCIvZ6pb5sPV5VO144xZxxpqAA4BKuVm00Vn3Yx+1u5O357D4EVpP6S2NPz/N fs1vtSY5u2mcsSbgAKA6bl0lOmrHX1+Szo1ftRj3iTPWBBwAVMRNe4nGGOdJ8pz+0vgzzL6m Py5+fGs9/XvLNbnS5iH+nk0+TaQCQBXEguaWzXiluPtaad3oc2MZhTRusx7XKUucsSnngbYA kKeXl5dbXUmZ9sNqvGs6CjaEkCTJoBljjJMqhBp3vm5yxHpVXFUBoJRudSWl87quEt10s8zK NcqYz9ixruFwVQWA8jEH7DEViDM2rcs4QiVWF4BHIdrIVrE4Y20zyRGqteoA1JZ5UjKUtD7j dCo5ACgTuY0t9RneIckBQGmINpbqE2ds2ok5Qs3eHgDVINp4gAPxZtdRqQ4Abu6ho436xxmb 9mOO8CDvHIA7e9Bo43GPtjsFpI+7IQC4nYeLNhxel4QdANzKA0UbjqfZDoUdwZYCIB8PEW2I M06y36XDhgMgDzWPNhwuL7G5sSQ8ALhabaMNcUY+RB4AXK2G0YY4oygiDwAuUqtoQ5xxOyIP AE5Wk2hDnHFPR8pLQ9afRD9TgAdT+WjDGXWJ7Cc8wl4kuHm7PxjAY6jwjPM7c405cpVL+ifZ /MNs/sHWtwBwVzHG6ernaT+utPN9lUpGG+KMijnyRxJwANzLYhRj7LXeb+iOQ5IkSZIMW7PR Is+Xqli0Ic6oMAEHQKk0npMkeXr/fRpaw/Sn5y+9wddp9qMuUva6jcwjkSCjqpJkt9DGLC0A eYtZx87kwy/YxX/vPzefDi93iYrlNuQzKm/990t/+LC2A4AzJVk+fljj9/ef57/yXaUqRRvi jJrIjBk3w4405hB2ANxUJ8wG6U+jf8bDvzs5PnXZr6TwcDYHyrrCAnBDk976KkwraeT5zPGk 7Arcy06Gw+4KUDUvLy+3vpKyGLU3i1zTUb15lr1SM5mFHS6yAFTKTaONxajdHMzWv7ZjHM6T JEm6MeY6rJc6EnYAVNbtoo1pP34O/w7fu4gsZqH33AghhPmw9TnfNiLUmLADoGpuF210XpO3 542ak8WP0FoO5238+Wn2a36zNaEmDoUdgg+AkjEmheo7Phvc/jIA3Nb9+m00/gyzZfOQxY9v rafm3daEOtmcDW4nCpH2ALiTO3b3aoQwTqs1moPZv8+5DuyFlMgDoATueSUlSZIY4yCESZJv ExHIsnMxZaeB2P4CAOTk1tHG89vWF7reYtzNfrWHUg+AYqgShRPqTEUeAFcQbcC2U0a4hBPi j/QhwhQA0QYck1nqsf/zkSVjFHAAiDbgZPtxw5Hkx+YyAg7gsYk24ApH4o/9G8UcwKMSbUCu kuRgniPzdiEI8ABEG5C3nYDjeP7jgvpTgKoRbUAB1gFHZuhwbvxx5IEAVSDagGKcFRkcWngn 8hCIANUk2oASOxJDnB6IHH+e6xl0A3xEtAHVdPwAf7NYZN30XcABHCbagDo6PSmSecuJT7hT biLgAA4QbcCDObHn+ik3Zi4j5gD2iDaAbSeGC2e1FbnytYCKE20AF9nvY3bW5Zvjtx96xTuS uYEriDaAS20GHMcPw2cdpHMJTS5+9eMvrTwFLiLaAK6QBhz5HoAveLbjgciVYcr+AJ96Bxy1 f4Pcg2gDuE4ZjkwXr8NlYcoF4UsZttIpDGmmGKIN4IGdckw9MpfN6WHHxfmV4/KNCR5qSHPt 32DJiDYAjjoyzV5xB/viHnLlk9fjCC2Fc3OiDYCPHJ9mL8dXuZmLw5RC45tDpHAuVpqxVKIN gBOU4Ps6Tx82hz20zMWuCVNun8I5rio7Q5nGUok2AAghnDOk+bInv72CwpS7JHiudO+AQ7QB wEoRQ5rv6PYpnIJUMb7ZJtoAYEMljr7XKDSFU5DL1vNQdfM9/N99Xz7GGGOc3nclAHgo6aH3 3gfgwq3f4OF3erOj8D2jjXaMw3mSJEk3xsUd1wOAR1P7UCOVJEfe6S2PwneMNhaz0HtuhBDC fNj6PBJvAMDN3PQofL9oY/EjtJ7SHxt/fpr9mt9tTQDg0dz2KHznug3IV6xs5bY1vz1rDjdz v2ij8WeY/Up/XPz41npq3m1NAODR3PYoHJP7VcrEGIfz5LkRYozzJGncaz2okRjvuUtfw5rf njXnwd3sKPzy8nLPfhtJksQYByFMhBoAcFu3PArfubuX8Jx8VXePsua3Z83hZvuSKlEAoFii DQCgWKINAKBYog0AoFiiDQCgWKINAKBYog0AoFiljzam/RhjjP17r8dJYowxxunhu9plner2 yJqvFmjfbm1Od2T3WIzSN3XzdTrN4TVfjNoV2udDCItR+8ieUzZHt3lZ95YQwoE1T037saxf LQd3j3a5vxLD4TX/8NuyPEq1Y5c72liMYvdnkiST3ji2R/demw+0YxzOkyRJujHufIDi6q4w aJbw03VkzVMl2Vl3Hdk9FqPY/JUkSZJMyrjyR9Z82m8OQpIk8+HP8u/zIYTFqN0czO69FqfK 3hlW2zyZD8u4t4QQjn8Gp/3u+Iarco5Du0c7xi9JkiTJH4Nmv5TH7UNrHj/6tiyRsu3YSYkN W2Gy+rnkq5ok8xB6y5+GrVa6Py5N1nclySS0hjdes48cWfMkWf4V5iG0br5iHziye/RC2H0b ZXJkzefDVm9533xjtympSS+0hvPNt1NmIYTMrdoL7+tfzj3n0JonSZLePmyFvQ/u/R3ePUr4 NbjlyI69/sCWf7cv1Y79v//9r9S5jW+zsJ6TrnXPFTnB4kdoPaU/Nv78NPs137ivkySv6U+j dnfy9nzzlTvq2JqHxaj960vSucd6fejI7jEO4WtcKV+G4MiaN57ffnbT9W7OV7tNaXVek7fn ysxxlBzo0PyarPfwxTj0Svh+Dq15CCHGZlLW/eTg7jH93voU1h/QEmYIjuzYaZ4gxjgIw3J+ Ma6VbccudbRRM6N2LO2RO9ti1Pz26bVKa/zuaRXJ92aDEn6dHTLtx1l62jfpNctZK1NbizIf uTO1Y5xXc8KU2eDb6qR30izf+cARsTlIv1rCbFC+q+KZyrJjlzra+NQK6xPtsl8ZbvwZZr/S Hxc/vrWemjv3xxj/fEvKeOQ+vOaLH9/CbJCeZ4cwK1vd4pHdoxXCn6tI/mljsZI4sub/jMM8 zX51Xlul3+vrY9qP7R9HUgjlNAuhmZ5nz8KgWY26xRBCaD6F1qf1L+vvnwpYjEJrmH61JPPh 4GvpN3mpduzbXrs506SXlgtMeqHk1/mSJAlheek07F0hK/l2PrLmK2Ws2zi2e6zuSpJ5GTf+ 4TWf9MLy8vykV8Y1z1L+C9gbsqofJr3QK/87OFbHU866jdSh6od0hYet8m77Q2s+Wf1Q2jVf KtOOXfa6jdB5TSZ/xBi7415StnKHPUmSDJoxxjhJkjT47cc4WoQw7YfwfpGyhGUEB9e85DJ2 j+lypO7qrhibSUni+k2H17zzmkx64xhj7I7LuOa1stzmsTsO426Zywj2TEs6Iv0j6y+W9XfO ry+lzPju2VzzdF/pTcq+5mXbsaNvtAJN+4vO691rcy5R2TWP7VH5A9NM1V3z6qruNq/qmlf2 i6XCa14OLy8vog0AoEAvLy/lvpICAFSfaAMAKJZoAwAolmgDACiWaAMAKJZoAwAolmgDACiW aAMAKJZoAwAolmgDSE1j3JpHdDFqxy3vkwBv3bo9Eeb6Uevft35dPbZdgZl4gNyINoBj0ikc 58NWCOM0sGjHuL49hDDuxsxHpT+MPg9C6IUQ1kGJ2RLgAYk2gI81nt96IYy7/RAWsxAmq4hh HXMcMpiF3uR12ArjbiWnLQVyIdoATvLUCiH8DIsfIYTmiY+Z9kMIr53w/O8whJlrJ/CwRBvA SX7NQgh/hMbvIYQfpwUO/e44pIUazUEIoblT4gE8DNEGcIJpfxxCb/IaQieEMGguazXSitBD scd49/dugWsIlJhoAzhmOfKkOw6h99oJYVXmmd48C6E1nDeyHrgYtcOqsCMtNA0hGIkCj+m3 e68AUBKdnXrPxvNb8py96CnjSnYf3nhODj0dUHdyG0D+NhtsnH4XUFdyG0CejmREUvptwAOS 2wAAiiXaAACKJdoAAIol2gAAiiXaAACKJdoAAIol2gAAiiXaAACKJdoAAIol2gAAihV1EQYA AAAq6uXlJbiWAgAAAFSd7AYAAABQbbIbAAAAQLXJbgAAAADVJrsBAAAAVJvsBgAAAFBtshsA AABAtcluAAAAANUmuwEAAABUm+wGAAAAUG2yGwAAAEC1yW4ApbMYteNJ+tN7r+r53t9ce7S4 zUtVcTNtm/av2WbZ2+G657zc+nUr8Xe54e7Kpfa/MP2x7u7sP8r+11Tmh+/9++Pc4+LxR2Z+ O9qPgOqR3QBKp/H8lmya9Fb39CZbd7x27rmaJTftNweze69ECRzaDp3X5V709ty4+UpBbqZf Vzv4+vvRPn1vZ/5RFqN2+jXVm5x8VNs5Gr4fJ8fd3WzFtB9j7I4zHjcftt4f9J7M6LxOeiGE 2aApwQFUjOwGUG3r61vtdnv/StTBy1Wbsd/7U/T7WVUjW/Hd4cKS3TAw+7U/fzvyHnavuh24 zn/oXa3WYCuWXQa72dcEj7+H49v2RMef5NCqnPIaH/5xj26HvdqNQ0UVWVdQr1nt6+W/Vx98 0qzdNUsOf+XTP1mnL3rmRrjhhj34WTvyyvuy9/D2aJHX5y57ufenzPpInPQldt4ukdOmPlg3 tftlcEKBxOG/zJE/ysFHLDOwZ+Q29nVet1McG1+DW4mNrZfYupSwmX9Z5jfCbNCsQpEZwFoC UHIHazeSZOPa0/7968e937yxdOaNIbSG872XfV844yk3l1s/+MBabT7lxiu9L73zBjPe+cYz Z77aesEDW21zFd7XIPPNHtu2pzv8JFlvZXNFMrZbxnIf/HEP7j0Zz5n1d3i/bbXc6aud6eje fIIC9uozd9csV/+VT/1knbUDn7URCt6wRz6thexR13/uCvsSO/n9Frmps/az4/v4Wc74mB/c cvvfPSc88d52PH1HOvhUOW4XgOL873//+9///ie7AZTeidmNYyHYVpi8+1wHn+JoXH7o2T5Y qay7zjgxOD1ozlzy2NY6dh5/RXh7wtY9ZP/EM3M9jv5xz8lu7P8lMv4yZ6x2pmuzG6e+8Yv2 6pN21+OrcuFf+fpPVtZ9Z2yEIjbsaX/rYvaoHP8iOX+Jnf5+c9/UWeuZ9UXw8Srm9zE/vJ3v nd3I5fsf4GbS7IaRKUBdbdY+NwezNLY7Hrb+8fsHw9WXdbz7Zz97oz8u8/O/rWr1/35e93QV cSjoPlKlfcEf9xSN57flk4y7/eli9Hk5eD6zYvyC1b5eEXv1bRzfXEV/sj7cCGXYsDfeowp6 udO/xE5fgfw2deP53+U+Nu72p2Ex+me8XJdaNCuZfl8Pien91QkhhM5f6514/N0YE6D2ZDeA mtpv6/bauTZfsBqO3RzMsq/4LwP7xp+flrfMBs2NE7NpPx5v9TkbfF0tvO4zt6Xz90YXuPUT bw4TP3oa2Hj+0ntfse1O/OtX6325SZif/VY2TjKPvJMi/rir1Xpd5zeWW6Q1nG+cbl2z2tcr 5I1fvLue4MTNdfInq6gduJANe9qn9cZ71Kkvt7VXbPfXuO5LrJD3e8YX42YKM2Y3vFi3HD4i r5RT4/c/8nmiMO1v9Pt4f0ed163Woce63Rza8iVJkAKc4uMvcID7unRkyvELr5e1vThcQb+3 AtlLtlqZ65u9ru8LH+ydcXgNdpfKesPH38LRyuRTB2UfL28+tCrbyx7ru/Hhww9sh2Prv7lW pw6GOWVbfLziS0dKyAvZqw++pQO765ENcvFf+fRP1sk78FkboagNe9qnNZc96qSRKWe9XOZy rV7v6i+xM3eJPDf1/qJXjxHbd84AtENfRR+MTDnowCsef+T+g9Yvb1wKUA3pyJSYJMmHX5QA sG8xajcHYTivRU03cJL3koxWZT/87zOJ9CZ3n1t8vTIlWJeVMq4TwDEvLy/ByBQALpOe4rSG /1bz7AZ4NO9DVZapje1hZ/fSeV1WVrzP43pn077UBlBNshsAXCLtA1nRK7fA42k+7Yw5K833 1yrBUYr8xjK3IbUBVJCRKQAAAEBVGZkCAAAA1IHsBgAAAFBtshsAAABAtcluAAAAANUmuwEA AABUm+wGAAAAUG2yGwAAAEC1yW4AAAAA1Sa7AQAAAFSb7AYAAABQbbIbAAAAQLXJbgAAAADV JrsBAAAAVJvsBgAAAFBtshsAAABAtcluAAAAANUmuwEAAABUm+wGAAAAUG2yGwAAAEC1yW4A AAAA1Vbl7Ma0H2OMsT89dM+W9mhx9jJniHH5DwAAAMoq61x497w65/Plm6hgdmMxaqfb9p/Q a2XcP+3H7jj0JsmG+bA1GzTf/xinLHOqnaSGHAcAAACltBi1s86Fw7hbzPnyDVUwu9F4fks3 79vfTxl3T7+PQ2gN/+5sP+ZLL4TZ4Ov05GVOcCSRIccBAABAyTT+/NQKW7mMxejzYBZC78tz I70hp/Plm/vt3iuQt8V/PzNvbz61QpidvsxxJ2YuYgwhvPzvfyctDAAAAHv+d/JJZZIkHyzR eP7SG3THs0EzDt5v3UhmXH++fCe1y240fv8jc4vPf83OWua4dI/5MMeRJCGE/3ficwIAAMCe //f/Mk4rY4wf5zJ2rQedvHZ2bm7GQXrz9efLd1LBkSkf6PyVUS+zGP2zWVtzyjInSJJwaGc6 chcAAACUVE7nyzdXu9qNEDqvySTEbjeOt25uDedvq3FEJy1zqhPrOAAAAOCeDpwKh7BZz5Hn +fINXVDKQrYY49amtGEBAAAoxkUjU+rp5eUl1HFkyl3ZtwAAAODmZDfytk5wGKsCAAAANyG7 USQJDgAAACie7EYBjE8BAACAG5LdKJjyDQAAACiY7EYxlG8AAADArchuFEZ7UQAAALgJ2Y2b kOAAAACAwshuFMn4FAAAACie7EbBjE8BAACAgslu3JAEBwAAABRAdqN4xqcAAABAkWQ3bkv5 BgAAAORNduMmlG8AAABAYWQ3bk75BgAAAORKduNWlG8AAABAMWQ3bsjssAAAAFAA2Q0AAACg 2mQ3bkv5BgAAAOTtt3uvAAAAAPCx7avkyfpXbR6D2o07UL4BAAAAuZLdAAAAAKrNyJR7SJJl 4UaMSogAAADIpOL/dLIbAAAAUAqH0hn7l8VjjImL5RtkN+5E+QYAAMBjO1Ka4TTxXLIbJSDB AQAA8ACkM4pTy66ii1E77utPtxaa9vcXaY8WN1xNOy8AAECtxbj1b1OSbP3jSvXLbkz7sTmY tYbzZMukN+6+Zzim/dgdh95kc4n5sDUbNG+b4FjTKwYAAKD6DqUzdnIZ0hm5q112Y/HfzxBC 69Ofje3bO3/1Qgjj79MQQph+H4fQGv7d2Vyi8fylF8Js8HW7xqNQ9mgAAIDK2sllHElnULTa 9d1oPH/pDbrjQTP+miSvy/RFWqqxlmZA9jWfWiHMTniReKDU4tDtR7zv5Bc8GAAAgJs6kqjY OqVzgndjtctuhNB5TZLXMO3HblxmNHqTJEn+6sfuuPXUDCE0fv8jM4sx/3VKaiOEkDnvzuXz 8az2etP5AAAAlMo5fUBvekLn+viO2o1MWbYLbf/393tHjddOmPa74/cBK52/MsagLEb/ZIxX uYX1Z8LeCQAAcFcaZ1TUpeUGpbYYtZuD3TKM1nD+9rzRjGNntErmMme5vHYjbOQ1avjnAAAA KKnqTtF61Rlovby8vISaZjfu49p9S4IDAACgYNVNZ+yQ3VhLsxs1HJlSecanAAAA5OTQSJPw iNOaTPvxiP704LL9G84teiHZjdJ4jA8TAABAcU6fovUhz8A6r8m++bAVQgi9yWrW0cWoHWPs /hzOl0tMeuNujLE9Wtxz5T8gu1FKyjcAAABOoDTjKotROzYHYThPkvfcxufBLPQmyXtXys5r Mh+2wmzwucT5DdmNMvGBAwAAOEo6IzfTfmwOZjuzayx+fJuF0Hpqbi/b+PNTK4TZr/mN1/F0 v917BdiWJMsPaIw+jgAAALXpA1oui1G7O75u4tByUbsBAABAWWiccRPp8JPW8N+91MaBIo0D JR0lIrtRPuvPqO4bAABA3RlpcgfTr4NZCL0vWWUbjecvvRDG3Y0moukQlsxkSHkYmVJuxqcA AAD1YqTJ3S3++xlC6P3Vyb6785okr2Haj804WN7Um6y7jpZVTOw+OYkx1425/sT7AwEAAFUm nVGEnM9Aq+zl5SWo3agA5RsAAEB1yGVwF7IbZbWePAUAAKDEpDMoA9mNEjM7LAAAUD7SGZSQ 7AYAAADHSGdQfrIb5aZ8AwAAuC25DKpIdqM6JDgAAIACSGdQA7Ibpae9KAAAcJELziSkM6go 2Y1KUb4BAADkyhkG9SC7UQXKNwAAgHMcP4GQ0aB+ZDcqQntRAADgMNdDeXCyGwAAANVzKJ3h YiiPSXajOpRvAADAA5POgCNkN6pJggMAAGrNLK1wFtmNStFeFAAAako6A64hu1FZyjcAAKDK pDMgR7IbVaN8AwAAqkk6A4oju1FB2osCAEAVSGfAzfzfvVegENN+3NeffrhMe7S40xoDAADV F+PWv01JsvUPyFcNsxuLUbs7Dr1JsmE+bIVx9z15Me3HrGVmg2ZFEhzrr0OjVAAA4H6kM6Ak apjdaPz5qRW2chmL0efBLITel+dGesP0+ziE1vDvztbjnr/0QpgNvk5DtUhwAADArUhnQDnV se9G4/lLb9AdzwbNOHi/dSOZsfjvZ+YDm0+tEGYnvEI8kFA4dHtB1l+YN35dAAB4JEcSFVtx uKgc7qh+2Y31oJPXzs7NzThIb278/kdmFmP+65TURgghycrExhgzby/Q6uszCboSAQBAPs5p BSoI525c5N5Rw5EpJ+j8lTEGZTH6J2O8SqnJaAAAwNUMNoEaqF/tRuc1mYTY7cbx7j0b9RwH FmoN52+r3hxVY3ZYAAA4jYlaoX5uPpiivu4wMmX1wssf/CkBACDLoXSGCJrqutsZaPm8vLyE OtZuPJ4kWX5bK98AAIAQgnQGPB7ZDQAAoPKkM+DByW7UgvINAAAejHQGsEl2AwAAqADpDOAI 2Y26UL4BAEC9SGcAp5PdAAAASkE6A7iY7EaNKN8AAKBSpDOAvMhuAAAANyKdARREdqNelG8A AFAah3IZQToDyNv/3XsFKMyRgwkAABQgxq1/m5Jk6x9wT4tRO75rjxYZy0z7G4v0pzdfx3PJ btSOYwUAALcinQEVk+Y1mr++JGuTPwbNrQRGukz353C+WqI37h7MgpSF7EatKd8AAOBMOwmL ncyFdAZU2bTfHMxaw3ny2nm/sfOaJEmyvmkx+jyYhd4keXtuvC8xH7bCbPC5xPkN2Y06cjAB ACBv0hlQedPv4xBan8LXuGddl7H48W0WQuupuf3Qxp+fWiHMfs1vv9Ynkt2oO+UbAADkRDoD amA2+PY0T7ZNerNBs9wDTz4ku1FTjjYAAJzs0GCTTQJMqLzmUyuE0Pr0ZyPrjrQw40CRxoGS jhKR3XgAyjcAANh2qH3GTnWGSg2olcbz26QXZoPmVoPQxajdHMxCb5J23mg8f+mFMO5uLDPt x+ZgFlrDf5938yLlERNfVDmJsXwbc32kKtuKAQBwW4cueIkToaKuOgOd9mN3vP6tN9nqMpq1 TPYiJfHy8hJkN3JU6uxGcOACAHg4MhpQY2U8A72TNLvx271XgyIliWEpAACPQzoDeFiyG3W3 TnDE6LAGAFAz0hkAKdkNAACoEhkNgH2yGw9A+QYAQJVJZwB8SHYDAADKRToD4FyyG49B+QYA QLnJaABcQ3YDAADuQDoDIEeyGw9D+QYAwF1JZwAU5/8SsAuxAAAgAElEQVTuvQK5m/bjEf3p wWW37wIAgOvEuPVvLUm2/gFwvfplNzqvyb75sBVCCL3JayddajFqxxi7P4fz5RKT3rgbY2yP Fvdc+YKtD56HLhwAAHCdzHRGCNIZAMWqX3Zjz2LUjs1BGM6T5D238XkwC71J8vbcWC7VeU3m w1aYDT7XOr/xToIDACAPCjQAyqDu2Y1pPzYHs9Zw/p7HCGHx49sshNZTc3vZxp+fWiHMfs1v vI435dAKAHAd6QyAEqp1V9HFqN0dh53UBmvaiwIAnEZD0AcRFTh/JLHTU1Y1zm6kw09aw3/3 UhuNPz+1BrPZr3kIm3cdKOmonfXkKQAAHCCd8bCcvR8h+0OZ1XdkyvTrYBZC70tW2Ubj+Usv hHF3o4loOoQlMxlSZ76eAABCCMabAFRcbbMbi/9+hhB6f3Wy705nVpn8MWgu54PtjnuTJEke ZAyLIzMAgPlNAAo07cfL9KcXvV5tsxuN57fkfZKUA7Zmj/1g2boxOywA8HgUaFB50/7lJ39Q a7XNbgAAgHQG95RZGgSPpTWcJ6eaD1tXvFKNu4rykXV7UZOnAAB1oRsopbCzI6a/2gt5LJ3X JHk96xGN57fk+eLXU7tBCMH4FACgwrTPoEA79T8n/iv6qaBiNntwbI2sWoza1/Ta2CS78dgc 6gGACjLeBKCKesNhK4y7VzUPPcjIFFaMTwEAysp4E+7msp0sc5e1v8Lvy7Eni1G7OejGcZ7P rXbj4fmSBQBKyXgTKmxnB817f11d+85jFk24h3SS02v7iG6LicNCTmKs8sZcRw3VfQsAQMUp 0ODuqh3SF8/2KRV/jrWXl5egdgMAgHvRPgOgvjY7iX5IV1Hysg4ctGUGAIpkvAnAY+i8JttW w1B6k2TPa+fq19NVlD3aiwIA5zg+osR4EwBuQHaDlSRRuAEA5Gi/OgMACmJkClmkOQCAPBhv AvCo9vpuNAezEEL2pD859N1Qu8EG5RsAwGlOCRlkNAC4GdkNtq0THLpvAAAbtM8A4Byd1yR5 veHrGZkCAEA285tAKW0U/OdQzg83sNxpt3bYxahtZArFUr4BAI9KgQaU3mLU7o5Db5LHDJpw K53XZP7Ubg66cbxzT377stoNAICHpkAD8rX5mTr0+brQtL9qzDjuxhjbo0XWUotRO8b+dKPE Y31ZfLPN4/6jt5pAHnhyuFTj+S1JkmTSW93QGs6TJMc0newGWdZRjCajAFA7h864NtMZMhpQ Rp3XJJkPW6vTwrfnxsFFx934z9M8Sb12lpmL95uS5Muv5kYSY9qPsftzuL578segaeBLTW2N CDmQ0Nqb7+SCjFfWc8TYXRdvzAbNXEemyG4AANSfAg24wKEqjOP/8n22i6829iYbyY/F6J9x CNunk93lLV+nIYTQfGpt3N0eNV+TXC+rUx6LH99mIfQmyY73HWbaj+nwpw3zYWs2aJ6V4Oi8 7r7EETnsa7IbHKB8AwCqTIEGXG/n83Liv3yfLc/P6f757PtZ5XLUwHLkwEaaw/iUupl+HcxC a/h3ODhMafp9HEJr+PdWvqHx/KX3ng077ZX65+5Dy6qSC+s4ZDcAAGpCOgPKoPAkxQXSM9Nx d+tMc/Pcc/Pn9Ir7fNi62+qyK2uER8y8/cOnmn4fhxBmv+ablRVbw5QW//3MfGTz6aJdYmv8 yQfSrjKXkt3gMOUbAFBupxRoAIRlymI+DBtnmmkTjnQ4Qud13WtjdZ757dP8eGsPbidzLEfm 7R8+1TKpsT0QpPM6H7ZWhRmN3//IfOT81zWphxuIp7x/ThFjHTfmOlCq31sDgAoyYysUqp4h fX5sn1K56M+xbqmxnd5YjNrNwaw1nL89N7IX2l6iZF5eXkIIv917NSi3JFmGUTGKmwDgLmQ0 AMhJ5zWZhNjtxvHOHa3hPFnlLQ4sVNLUxprcW25qm8hUvgEAtyWdAfdS25A+J7ZPqfhzrKW1 G/Xtu7E9h292n9at+XfN5XyA7hsAUDwztgJQX+m5d7En3XXMbqR5jeavL++tVZb9cd63ZbpM 9+dwvp72aNw9c7YaAICLmbEVgAcz7m5NkZJzsqN+pSzTfuyOPxgQlDZE2e2kcmWblJrXBRmf AgBXy6yDdGgF4AJVPgNN+5bu2mt2eqqCRqZsDfY4R05pm+n3cQitT+Hr/ius6zIWP77NQmg9 Nbcf2vjzUyuE2a95LisCAGDGVgA40bK049LcQB1HpoQwG3x7mifbJr3ZoGngycV03wCA0xhv AgDbdsog0sKN1nDntH0+bIUQxt8vS28Uld3oTZJTTXp5vnDzqRVCaH36c3dwSfNpXZhxoEjj QEkHAMAxCjQA4AQ7eYK9nhCN57ckSS4cnpJ/dqPzmpy5Ouc/4pjG89ukF2aD5laD0LSlRuhN 0ldpPH/phTDubiwz7cfmYBZaw3/LPIHvfSnfAIAQgoagAHCe9LT/7//amyfq036urUVvOTJl e47W4qYnSbfbcpqU1HIClfcMyt4y3XFvkpU8AgAIZmwFgCtM+zHG5uCPycY5d+c1mQ9/dvPq w3mr7Ma0H2Pz26eNUTXzT9+aRc53uywJWcquDNlaJqfikXpTvgHAw1CgAQA5mX4fhxBC76+d 0+50XMXlvTY2FTlnymbmovNXL4TZRjXFchzI31IKlSXBAUDtKNAAgAJ0/k4bhnb35jbtjkPI JzVQVN+NJEnmT/9srPI/e5OYGAdSTcI6AGpEgQYA3MCyYejepCJpo9FcUgMFjkxZrv3Sl18b dRsFDkjhlpRvAFBB0hkAcB/bHSTy7RCRf3ZjZx7bVQfR5uabmIRuwZ1FKZKgD4BKMWMrANzX ziQje3KogMi/78b3cQit4Wb70GErzL792ExjrPM1hqZUlfaiAJSY8SYAUCbTr4NZCKuBKBly qOEopO9GOh3Kun3ot09zaYw6k+AAoAQ0BAWAsur81QshY86UPBUyZ0pzMNvMyHyQ2VgOZdGK o2oEiQDclQINAKiI5YywGXOm5Dcy5bernyHbuBvHBT01JRSj+BGAGzhUL+goBAAPrqjsBg8h SQxLAaBQ0hkAUH2d1yR5Lfg1Cum7cZEcJ4LhhrQXBeB8O4NKdkaX6KABALWzO2tKf7ruU5HP ZKr5zwgLAHAZHTQAoI4Wo3ZzMFvNmTLpLW/uvCaTXgizQbPEfTd4IOvxKbpvAHAdhxEAeCSL 0T/jEEJoPTWvfq6YiCNyEuMDb8ydC20AsOeUIYyOIQBwoqqdga7KN/a1hvMPZlr9wMvLS7jX yJTVgBuzwNZFlT5UANzOKR00jD0BgAfQeH470ITzutTGmr4b5ER7UQBCCAcyGrIYAPDAlu1D D9N3AwAogczMtiwGAHAzajfIj/INgIeROZNrMGkrAJCh83pgVMpy/pTeX52rXyP37MaHBScx xniglwg1IsEBUDuGnAAA+Zp+H4cQwvh7CUemdF6T5DXvJ6Uy1rPDAlALhpwAAFeb9mN3fPju 1vDv62s39N0gb+sER4ziX4DKOZSj9o0OAFzqFmUQ+m4AwKMz5AQAKNJJLSyunD9F7QYFUL4B UHqGnAAAdaJ2g4JpwwFQDmY5AQDupPnUCiGE3uTQnCmbd7xe1oOj8OzGTgFKfxoWo/Y11SZU gxgZoAQy0xlBRgMAuKn5r1kIIYy77dFi8/Zpv5vbnCmFZjcWo3bsjkNoDedJMh+20lsbz2+T Xsh4X9TMOmRWvgFwQ5poAAAl03ldFmnMBs3N+ofuOKQZgwvrNTYVmt1Ypmd6X54b23d0/krf 1695Qa+c3bJkL5uytZhakiJJcAAUxpATAOBi037WyXLI/Xy587o3KmXpbTdjcJlCsxud12WR RowxNgez9c9pgqY3ySE9k2n6fVUxcmibpcNjuj/Xy0x64+6BvymXE1ADFMOQEwDgWtP+6ux8 W3Hny6tGFct8yWLUzq/OoOC+G2l2Zj0oZWmZdygqt5EmN/YrRt4tRp8Hs9CbbOQ7Oq/JfNgK s8Fn+Y2CKN8AuI4hJwBAThajdozdMNk7XS/ofHmZ1kirHtY3/vg2S0sg8khxFJrdWBay9OfP b0XUnRywGP0zDusqkayBKYsf32YhtJ6a2w9s/PmpVeRwmQcl1ga4giEnAEC+FqN2jM1fXw6U HBRyvjz9Opi9D7BIW3CE0Hh+W/5S+q6iS9t5hsLHfjR2cinrUprZoGngyV1oLwpwMk00AICi pImNb5/mBY6lyNT5e9h6byna3SxISGci+bvkXUW3u4YsC142W6TespFn82mdaDqQdDqQoiJX EhwAeww5AQBuID3n3Z63JB0rkt7Un4aizpeXVQirqo213iS38R23qN24sdV4mM3MyWLUbg5m 6z6mjecvvRDG3Y1Ckmk/Ngez0Br+W+iwmYclMAfYpkADALixrIEOaRlCOmakwPPl5Xl6N0y2 Xz7HEpLfcnumDNN+RvvV1nBebN+NzmuSvKbbbvNFk6SRtVAzDpY39SY3rs15WDEK24EHdKh2 zTciAFAu+Z8vL/77GUJOI1AOiUmBUdUyu/EgaYMYC92YtbAO7W0o4DHIaAAABanUGWhm6cOm q9IGLy8voeDajTThAytJsoz0lW8A9ZWZ0fCdBwBQqNz7bixH08T+9P3ng27ZVZSS0V4UqAuz nAAA7FmM2uvT/u0pRzLkMN6jhl1FKTUxPlALmemMIKMBALA0/zULq1lW0tKH9zalRajQQJ2y q9Sop3vTgAOoIENOAIDyKP8Z6IfNNjbk0Hej0NqNrLlZP7qHx2J8ClBuhpwAAFxmYzjKpBfC at7ZokamFNFVdDdBM+7G7HxNWqLCA1q3FwUoGbOcAADk7RZTjhRRu7FO0KTpmdCbHMjOvD03 Cnh5KkaaA7i3Dws0pDYAAEqu0JEpndckmQ9b4645U9jjXAG4K0NOAADqpNDsxmLUjs3BLPvO 1nCex9AaKmx99qB8AyieeVsBAO5sOUvsqthhMWrnV/RQaHZjOQFM2jhk0gsbTUQmvdmgWex0 MFSKBAdQAENOAADKYJnW2C5/WPz4Ngvjbk7jOgrNbjSfWiGE2a95CCF0/h62wmzwebQIIUy/ j9/v4YE5sQDypkADAKBkpl8Hs/dyh2WLztB4flv+Mv5+fXqj4AlyF6N2c/km3p4bq9+W0hsL fPXbKv9sw+W1PgWxAYEDjkxlYpYTAOABVesMdCcbsOPK5MDLy0soPLvxSKq1b5XLzgVWgD0n Dl/zFQIAPIhKnoFO+7E73ryhN8mhH2ea3fjt2qeB6x259gpwVOWO6QAAj6vzmiSvBT137n03 pv1D07+aEZZTSHMAG/Y7aAAAUD3r2VLWaYD3+VPyyQxUsJSlrCpZF1Qqum8AIYQDSU5fDAAA myp1BpqOSMlqr7Ecq3LVCJV0ZEqhc6as7ExpO+1Hc8Gyb/3JdJUWHszmLCcmOgEAqJ3lhKqD 5naZxmLUTttwtJ6aV79GwdmNdJzKdmvU6fdxmA2aUYqDwyQ4oO4+TGfIaAAA1EXj+W0+bIUQ xt3NZhVpriCn6VQLzW5M+93xekrb9K2EtI3IfNgKYTb4qu8GW5zNQK0p0AAAeFSN57ckWx6p jVBwduNA8UmY9pcZmhyKT6gt5RtQCzIaAACErZYVhUw5UuiMsI3nt+T3fuyOx924nNL2/adc prWlfswOC9WnLSgAABsWo/Z2x4oCFJrdCKHY6WypqXWCI0bnQ1AVMhoAAByVU4ONA24yZ0q2 aT+nWW2pM3UcUFYmOgEA4DSN57dJL6NtRZ4KyG5kDaZZT4+ycWd3nP9rUxfOiqCUTHQCAMD5 pv1lBmB7zpRc+27knt1YjD6no2l6k7T96XJ6lGa73d6cHLY3SRKNNziF8g24KwUaAABcp/N6 YL6UlRySA7lnN+a/ZiGE0Br+vVy5xvOXXgghzGazdcbjxomNaX+zfGT3jhxzReTJORPcj4wG AAD52jr/rkLtxmGt4fz2tRrTfvYYmHSETPfncL7Mtkx64+6BHAh3sz6FUr4BxZPRAACgGItR +3BzitZwXsrajaXZoLlOwizfw+ZNtyiXWIzaMXbDJB0bs3PX58Es9CbJe7/WzmsyH7bCbPBZ fqOcJDigADIaAAAULx3k0UrLCya995+TZD4Mg2YedQa5Zzc+HE6T89CaTItRO8bmry8HXmLx 49sshNZTc/vmxp+fWiHMfs2LWSku4uwKcmWiEwAAbq7zVy+EMBt8nYYQOn8PW+/lD+vmnNe6 44ywxUgTG98+zfUsrQ3jU+A6memMIKMBAMCtdF6TZD5sjf8ZLUJoPL9tjrHYGlZxubplN9Ky jO1RMGkqKL2pPw0HizQOlHRQJhIccBpTtwIAUC6N57f3NEbj+S3nQR11y25sbKG1NCeUjupJ N1s6j8u4u9FEdNqPzcEstIb/5pAzIm/Ow+AEhpwAAFBO6cQehc6Z8lsOq1lFndckeQ3TfmzG wfKm3sRYljJLkuUZW4zO0mAts57JRwQAgDKZfk27axR52h0TUXBOYrQxC7ZzPRoelYwGAADV OgOd9mN3XFRy4+XlJdRvZAp1Vp2PLuTLRCcAAOQke4zIzsiQaX9/kWtmbZ1+H4cQwrhb4MgU 2Q0qxfwpPAwTnQAAkLfFqN0czNKulO8mvTDubnWlTOsstttZzgbNaxIchatSKUvJVasuqNrW Z3s2OPViyAkAACfK6ww0zWVsDBqZ9mN33BrOd2ZpLXRsyXWMTKH6VHBQfYacAABwXOZYjszb z3jS1QiV7jiEEMLP/5ZlGYv/fmYu33xqXfcuDk2bkldBiOwGFeSEj4qT0QAA4HRJlszbz3jS xvPb5tiU2aCZNr9o/P5H5vLzX7PL38Fi1I7NwSyE7UEx82ErhNmgmUuGQ3aDatKAg6qR0QAA 4N7SbqEHWni2npohhND5qxfCbPB1a6HF6J9xCK3h35cNS1mmRnqT7eEujee3SS+EEGa/5hc9 7yatInKj78atmSCWcjuUebO3AgBwvUvPQNPGons3bzfUWDbj2LLfiuMcWc944MXPlvbdcEKe G9mNO9BelJKR0QAA4DaqeQa6k+S4LmOykmY3frv2aeCOkmR5Nhmj00fuxUQnAABwms5rkrwW 89T6blBxGnBwD5poAADAGdKOH8ueH6tfVg40AjmP7AY1IsFBkWQ0AADgItN+dxxCaA3nr53F qJ0OTulNkiSZ9EII424O+Q0jU6i+9fgUyJtRJwAAkJc/fm+EaT/taZrOv7L472cI6+larlLF NiQlVc2eLjWiwyg5kdEAAKD8KnYGmtVONCynb7lyyhRzpuStYvtWLUlwcBETnQAAUDnOQNfS 7Ia+G9SRgSqEELY7Zex0zfiwiYYjBQAA5Gwxam92El2M2vl0FA1BdoNa2TwfleDgMG1BAQDg lpZpjWbac2N1449vszDu5jRpiuwG9eIMlRPIaAAAwA1Nvw5mIbSG8yRZzZMSQmg8v60mTfl+ fXrDQJ3cGPVUIhpwPLBTqnbsFwAAVF21zkAXywai2VrD+dtz4+In13eDB2B8ymM4pYmGeg0A ALiXxvPbZtXGWm+SJElyTWpj7bfrnwJKJ0neT3NjdDpbP2Y5AQCA6um8JslrQc+tdoOacppb O2Y5AQCAqpn247v2aLF973oOlRzaispuUF/rk13jU6ppfxrXlHQGAACU37QfY+yON26ZDZpp imOV81j14mg9Na9+OdkNak2Co2oUaAAAQC1Mv49DeJ8oZd12YzZoLnMeadONvBpvyG7wMCQ4 SkmBBgAAPIjmUyuE94THayfPJ5fdoO42T44lOMpBgQYAADyI2aC57ruxHIiyeVPUd+Mj6+Yk x7bUVn+THLYmJeVc+d4UaAAAAIWqY3Zj2o8xNgd/rIfwzIc/uzv5izT50f25HgE06Y27WS1c qQkNOG5OgQYAADywzmtyuhwGqdQxu7Hchu9bp/H877AVQvj53zJ1sRh9HsxCb7LRuqTzmsyH rTAbfJbfqD0JjmIo0AAAAO6ljtmNtffRKc1vn+bvbVgXP77NMqacafz5qRXC7Nf8DqvKDWjA UQAFGgAAQBnUOrvReH5blbl8+dXUWwOn2tdToAEAAJRQrbMbGzqv82ErhPH3aThYpHGgpIN6 0YDjfAo0AACAkqthdmM5EcpWmcZi1G4OZqE1/LsTQgiN5y+9EMbdjSai035Ml/h33YqDupLg +IgCDQAAoFp+u/cK5K/zmiSvac+N7vrG3iRJOnsLTfuxGQfvi+TQppWKidGZeioz1WPbAAAA lRATpy85idHGrJSdmoTHc6hy5SE3BgAAVIwz0LWXl5dQy9oNOEmSvJ/fP0wFhwINAACglmQ3 eGAPkOBQoAEAADwC2Q0eWx0THDIaAADAo5Hd4OFVP8EhnQEAADw42Q2oZIJDRgMAAGBNdgNC CFkJjpKlOaQzAAAADpHdgJWdBMf6//vlD2Q0AAAATiG7AR+5YY5DOgMAAOACshsQQjicV9hZ oIA0g4wGAADAlf7v3isADyfGrX9rSbL1DwAAIHfTfszQHi0+WGZ7ifKR3YAQQvg4o3BdyiEz nRGCdAYAAHAzi1E7dset4TzZMh+2ZoPmKn0x7cfuOPQmh5coJdkN2JBfmkGBBgAAUDKN57ck Sd6eG1l3/vF7I4QQpt/HIbSGf3e2H/ilF8Js8HV6i9W8iOwG7FknHjYzEB825lCgAQAAFCBr JEnMvP2CJ5/2Y2wO/pgkyWsnhBAW//3MXK751LriLdyA7AYcsE5FHE5wKNAAAACKlmTJvP2M J12M2jHG2P7v7yRZZTZCCKHx+x+Zy89/za58GwWT3YATbCQ4FGgAAADVtUxrfP39LckcpdL5 K2MMymL0T8Z4lVKJ52V3OCxGG7Pyzqrk8tcGAADu5aIz0LRh6AGt4XyV68habuPuknl5eQmy GzmS3aiBD7MbSdgefwIAAHAPzkDX0uzGb/deDSiLI6mNjS+N5H3R9H9fKAAAAPcmu8FDu6ip cAhJ8v7IGCU4AAAA7kt2g4eTmdE4O0GRKOIAAAAoC9kNHkI+GY3Mp1DEAQAAcG+yG9RWURmN zGdUxAEAAHA/shvUyo0yGpmvoYgDAADgTmQ3qIP9pMYd0guKOAAAAO5EdoOquluZxnFyHAAA ADcnu0GVlDSjsU+OAwAA4Ib+794rUIhpP2ZojxYfLLO9BOUQ4/u/tSR5/1dem+u38wYAAADI T/2yG4tRO3bHreE82TIftmaD5ip9Me3H7jj0JoeX4K4qnNHYt7m6chwAAAAFqF92o/H8liTJ 23Mj684/fm+EEML0+ziE1vDvzvYDv/RCmA2+Tm+xmuypVUZjx857kOMAAADI1UP03VhXaryl 6YzFfz8zl2s+tUKYnfCE8cCp6aHbOSwzafG+GWu5RZfvOcaw+VYBAAC4VK2zG4tRuzmYhdZw niSvG7c3fv8jM4sx/3VKaiOEkGQVEsQYM29nxwmdQR9jM8YY1m/VngMAAJzDxfUd9RuZEkLa eyPG+PX3tyRzlErnr4wxKIvRPxnjVchFnUedXGx/rIqvJwAAgIvUr9wgHYZyQGs4X+U6spbb uPt8ajd2VGb21pLY2V62FAAAcJgz0LWXl5dQx+zG3di3goxGLqQ5AACAjzgDXUuzG7Xuu8FN yGjkLN126826/sE2BQAAOEB2g0vIaBRusyXHzg82NAAAwDbZDc6wn9Rwol04aQ4AAICPyG7w ARmNstjc7ulfZWcGGgAAgEclu0EGA0/K7khBR/CnAgAAHo7sBksyGpW0X9ARzLoCAAA8HNmN hyajUSs7fznJDgAA4GHIbjwcGY1HkVnWEXRSAQAAakh24yHIaDy6/T+2fAcAAFAjshu1JaPB MefmOzIfAgAAUA6yG7XinJTLZe4oUh4AAEAVyG5UnlNOCnRZyuPQAwEAAIohu1FJMhrc04cp j/1fjz8WAADgOrIblSGjQakd2hdlPQAAgOLJbpSajAaVd03Ww74OAACcRnajjEzQSf2dkvXI t9AjRh8kAACoK9mNspDRgBCuaOpx5AOzXj79wUcLAABq5//uvQIPLcb3f2tJsvwHLK0/FTv/ Nm1+nHb+7ci8EQAAHs9i1I6xP828b9qP/7+9e0dSm1nDANw6dZYCDqa8AlgBnMTRnzqDcEic OTBVzpxAOGROHTn5YQXDClwODHvRCWAww210QyDpecqBS9w0n0T36J3u1l9nnnNPpBtlu5xo CDUghct5x2UyDgAAGmw97UZR1B4tzz7W/zVZxRvzwawfRVF3ui59P5OTbpRBogElSfulEnAA ANAwmzEZH8P3OF5NOsePr6cfR8swmMfPj63tpt5TvJp0wnL08Y7zDelGLq9ji3g/wpBowC0l /5pdnsYCAAD10nuK43gvujiw/vfHMoTOQ/v15tb//umEsPy9uv4OZmRV0as4SDSA29h8/Q4y i+Pv5OUbtfgOAwDA3TN24yqM0YA7svsqnvtOplqvFAAAauzMII0zQzruiHQDaIZUWWOqm7MA AEB9tB4/D0KY9fcWEV0Mo/ZoGTqT7+fms9wBM1Ny2b/qiaIoNlQDaslkFgAAmqP3FMdPYTGM 2tFou2kwj596N92pN7kgL4x0Axrt8iAOjQMAAIVyBbozHo9D/WembO51Ew0X5x555b7v3gvc s1SLd5jPAgAAhappurGedjd5xdcwOHH/3rAYRv1ZGMzjPatJZzlqCziAgsg7AACgLDVNN1qP z5vI4vnTw4mHFz9nIXQmn3qvX/N5EMJy9O14nAdAEdLmHSIPAABIppGriq7//Dq5vf3QCWGZ 4A2iM5cc57YDJHQ4dfJiq6LFAQCAjUamG61370+mGKvfSaKNEMLJtVus6QJc11HScanF0RwB ANSaP64fqOnMlDf0PpyYg7Kefj0xXwXgXhxPbDk3ySWcmeditgsAADXVyLEbIfSe4nmI+v1o 9mpzZ7J6fmzdaJ8A8jg3WOM4zjgXcBjuAQBAZSqHW2MAAAjiSURBVJlMURgzU4CKSTiOQ8sG AHB/XIHujMfj0NixGwAkHe5xIQTRoQIAcB+kGwC8diGzSB58XH6fnKJIsAIAwD7pBgCJJQ8+ Tm5J/m5vfsrmPzIOAABCCNINAIrxZtCQIf7Yf9uTT5ZxAAAQQpBuAFCSDPHHuY0nnyPjAABo MOkGAPch+U1tMzxN9gEAUGvSDQDu2yaYSH7rlsxjQI7fCgCAipBuAFAFJzOOk2FEwoQiTwiS 6oMAALg+6QYA1bHLOPInC3lCkDcfKuSjAQBITLoBQNWUmQ7kuW1t5iecIxYBADhDugEAhcqc QTQzFtn9UPe8kwDA3ZNuAMB9yHN5fzn4yByLbFwpdzjYK3f2BQBykG4AQPVdb8BIwuckF8dv r2Yi4wAAUpJuAECDFZUjJE9ArpenyEQAoMGkGwBAbqmShTfDi5M3AM7/tnmITpIr5K5GAJCS dAMAKNeF8GL/qvh6V8gZcpCrRicbNUgEdlUywwiA0kk3AIBbOMg47vxGv8llzkFKCFCOXXVq kowDgBJJNwCA26nfpW/JP1HOTKSESOXCR9Tv6NePezYD1SHdAACorJtccxaVidxkuEpCLubd sxmoGukGAABpHF/i3nyARuFByT0nL5klPBbu2VxXRuJQd9INAADyOblSbG3WUincraKTJgy6 CVU7GcphJE4tbY6j21TtkW4AAFCEXcbhV+3L7rw+Ce/ZnP99ruTOw5eiGInTZOKqM6QbAAAU x2/YVZfwns0J36f2qh7iNCQMKkcJ57y46iLpBgAA8NoN79lcLXdemaJG4lxvB+rkHn7YZmcc 0g0AAOCUpl4j1UdRI3Fy7gBFuXlcdd+kGwAAAPVlJE5t3Dyuum//ufUO3MxiGB3pTte33i0A AIDCxfH2H1V3cBzTH9a6Xgs3NN1YDKP+LAzm8Z7VpLMctetwUAEAAKizTaKRPq6q8bVwM9ON xc9ZCJ3Jp97+xtbj50EIy9G3xa12CwAAAK6mztfCjVx3Y/3n18nt7YdOCMsEbxCdWc3l3HYA AAAo1vEVaHx5NEfua+F71sh0o/Xu/ckjt/qd8HCePGOiKHrjTKJoal4+NS+ZgpdPzcun5uVT 8/KpeckUvHxqXr4sNc99LXzPmjkzpffhxLib9fTriTE6AAAAUAt1vhZu5NiNEHpP8TxE/X40 e7W5M1k9P7ZutE8AAABwTTW+FjZ8CAAAAKiq8XgcmjozBQAAAKgP6QYAAABQbdINAAAAoNqk GwAAAEC1STcAAACAapNuAAAAANUm3QAAAACqTboBAAAAVJt0I5fFMDrSna5vvVvVl62wp17l gCSV/2ReT7sqnly2gr8U2UmeRYENy3BRyh43xLbEilq0NIXVgRYj68msA80oTcF1oMXI3bBo 6/PTYl8g3chuMYz6szCYx3tWk85y1HZy5ZKpsOtpN+rPOpNVHDsg6eU9mdfTbhS1f7wfdK6+ q/WQreCLYdQeLV+/Ko7ng7Actf2y8JZsNV9Pu6deFWZ9zUpuu0uNr0HTUaTUhdWB5pbnZNaB ZpC+4DrQvNLXXAd6HVrst8RkNB+EEI5Orc3mcNh8klyhhV1NOg7H23LVfO/Fm3IfvxEHMhX8 78m8+d+WcieT9STfFvvvK7cbtCpF0lJfSb7COixZpKuaDjS3ZAXXgRYp8UmuAy2TFjuOv3z5 8uXLF2M3slr/+XVye/tB+J5LcYVdDKOoPXo/j+OnXv79qrPMNV8Moyjqh3kcPz+2rrBjdZWt 4KvfyxDCrB9FH8P3XUu++udH22jEt2U+yVuPnwchhOWovR342R4tQ+hMPmlVqDMd6NXpQMuk A70JHWhZtNj7pBtZtd69P7l904CSWf7CbsfOdf98imNf8yQy1XwzMC6Eza8Le93Wthsz0PO8 bCf55jq8M1m9+lW49fi8mnTCcvRNwS/J2LAshlHUnx39KWT+ftR2jlNHOtBS6EDLpgO9AR3o 9WmxT5FuZNb7MAhHLeJ6+nUmlcwne2G33/Fv757j2B9D0shS89bj89GIsP2BtdrYCzKd5K3/ /dM5flUI639/LEPoPLSvtbf1oMWGS3SgZdKBlk0HSr1osS9JN52F1zZTtl8zia8ACQq7ecpu 46lXOCZppK/5MdOGU8hW8NMnerOnWSaXqeZn2hY1L5LpwldyrrA60OtJWPNzL1TutFIUXAda kOQ114Fegxb7rM26G1EcxxdKBHdsMYx+fvAnjlKpeckUvHxqThM4z8un5iVT8PKpObc0Ho9D CP+99W5ANutp9+vD6lkDWiI1L5mCl0/NaQLnefnUvGQKXj415y4YuwEAAABU1WbshlVFAQAA gGqTbgAAAADVJt0AAAAAqk26AQAAAFSbdAMAAACoNukGAAAAUG3SDQAAAKDapBsAAABAtUk3 AIB9i2G0MVycecZ62o3O6E7XCd75xdlPOP9Zhy/Zf/zEhx985MXdAwAqTLoBABRmOWofpwgv EUN/dvDsWT9n5rCefhwt9z88QV4CANSRdAMAyGgwjw+sJp0QXuUMi+E21ehMVofPng9CCIP5 82Pr7c/avvyp93fTLtsYzDdvFcKs/zrf6D3t7RUAUF/SDQCgMK3H79skYfZzEUIIi5+bARud yffjDKP3dJBXpLEYtl+yjade6D1tI4xZ3/QTAGgg6QYAUD2L4Xaey2C+jUd2wcpy9FG+AQBN I90AAIqz+LZdCGPwoRdCCL0PmykjJyOH9bSbbdWNXbaxW7sjiqKo/bIGhwU4AKBxpBsAQEZ7 ycKL3RobLxNOek/bNTG2C47ua4+WGaKI9bS7G7dxuJLHbokNE1QAoFmkGwBAYbZ5w+t1QjdL e8YvK3/+9bLQaJqlN/7eJmU3J2Vf6/F5fmG0CABQU1Ecx7feBwCA09bTbnvvpq9hME+Vhezu 2LLRmawS3aAFAKiO8XgcjN0AAAAAqs7YDQAAAKCqjN0AAAAA6kC6AQAAAFSbdAMAAACoNukG AAAAUG3SDQAAAKDapBsAAABAtUk3AAAAgGqTbgAAAADVJt0AAAAAqu3/hR+lP4vpP5sAAAAA SUVORK5CYII= --------------030702050105010303090005--