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<?xml-stylesheet type="text/xsl" href="https://e2e.ti.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data converters forum - Recent Threads</title><link>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum</link><description /><dc:language>en-US</dc:language><generator>Telligent Community 13</generator><lastBuildDate>Fri, 03 Jul 2026 13:06:41 GMT</lastBuildDate><atom:link rel="self" type="application/rss+xml" href="https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum" /><item><title>ADC124S021: Maximum delay from /CS falling edge to first SCLK and intermittent abnormal output codes</title><link>https://e2e.ti.com/thread/1661112?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 13:06:41 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:6d1b29a7-cc6a-4b9d-9ced-adda19ee582f</guid><dc:creator>Ryu Yamashita</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1661112?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1661112/adc124s021-maximum-delay-from-cs-falling-edge-to-first-sclk-and-intermittent-abnormal-output-codes/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADC124S021&lt;/p&gt;&lt;p&gt;Hi team,&lt;/p&gt;
&lt;div&gt;Since I have not received a reply, I am reposting this.&lt;/div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;Background: We are using ADC124S021CIMMX to measure a thermocouple-related signal on IN4. The analog input voltage appears stable, but the ADC output code intermittently changes abnormally. In our current timing, /CS is driven low and the SCLK burst starts approximately 4 ms later. The burst contains 16 SCLK cycles.&lt;/div&gt;
&lt;div&gt;Questions:&lt;/div&gt;
&lt;ol style="list-style-type:decimal;"&gt;
&lt;li&gt;Is there any maximum allowed delay from /CS falling edge to the first SCLK edge when /CS is held low?&lt;/li&gt;
&lt;li&gt;If /CS is held low for several milliseconds before the 16-clock burst, can SCLK glitches or missed edges cause the internal serial state to shift without automatic timeout recovery?&lt;/li&gt;
&lt;li&gt;Does TI recommend toggling /CS high after every 16-clock frame to re-synchronize the interface for this device?&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Best Regards,&lt;br /&gt;Ryu.&lt;/p&gt;
&lt;p&gt;&lt;img style="height:auto;" src="https://e2e.ti.com/resized-image/__size/640x480/__key/communityserver-discussions-components-files/73/pastedimage1782739545054v1.png" alt=" " /&gt;&lt;img style="height:auto;" src="https://e2e.ti.com/resized-image/__size/1196x452/__key/communityserver-discussions-components-files/73/pastedimage1782739720283v3.png" alt=" " width="598" height="226" /&gt;&lt;/p&gt;
&lt;/div&gt;</description></item><item><title>AFE4490SPO2EVM: Need Altium designer files for AFE4490SPO2EVM</title><link>https://e2e.ti.com/thread/1661079?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 11:06:30 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:12f3353f-7b0b-4e98-844c-7e595ce18cea</guid><dc:creator>Sunil Tank</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1661079?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1661079/afe4490spo2evm-need-altium-designer-files-for-afe4490spo2evm/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; AFE4490SPO2EVM&lt;/p&gt;&lt;p&gt;Hello,&lt;/p&gt;
&lt;p&gt;We urgently required hardware design files of AFE4490SPO2EVM for Altium or any other designer tool .&lt;/p&gt;
&lt;p&gt;It will be great help if you provide that.&lt;/p&gt;
&lt;p&gt;Thanks for your support.&lt;/p&gt;</description></item><item><title>ADS112C04: Pull Up DRDY# Pin with 1.8V</title><link>https://e2e.ti.com/thread/1661049?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 10:04:22 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:5f6f6ac2-233c-41f1-80d7-02eed59874ce</guid><dc:creator>Ramakrishna Raja C</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1661049?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1661049/ads112c04-pull-up-drdy-pin-with-1-8v/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS112C04&lt;/p&gt;&lt;p&gt;Hi Team,&lt;br /&gt;&lt;br /&gt;Can I Pull up DRDY# Pin with 1.8V Since my SoC GPIO operates at 1.8V&lt;br /&gt;&lt;br /&gt;ADC Datasheet says: Data ready, active low. Connect to DVDD using a pullup resistor. &lt;br /&gt;My ADC DVDD is 3.3V&amp;nbsp;&lt;br /&gt;&lt;br /&gt;Kindly confirm DRDY is Open drain and can be pulled to 1.8V operates without any issue.&amp;nbsp;&lt;/p&gt;</description></item><item><title>DAC80501: DAC80501MDQFT Output Range</title><link>https://e2e.ti.com/thread/1661024?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 09:29:25 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:3f1bd747-8bca-4074-a9ef-5f427d51da65</guid><dc:creator>Eli Hait54</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1661024?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1661024/dac80501-dac80501mdqft-output-range/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; DAC80501&lt;/p&gt;&lt;p&gt;Hi,&lt;/p&gt;
&lt;p&gt;If the VDD=5V and using internal Vref with REF-DIV=0 and BUFF-GAIN=1, what will the maximum VOUT range (it will be less than VDD, right?)?&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Thanx,&lt;br /&gt;Eli.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description></item><item><title>ADC12DJ5200RFEVM: TI JESD204C IP support on Versal VCK190 with ADC12DJ5200RFEVM</title><link>https://e2e.ti.com/thread/1660992?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 08:40:22 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:446adaaa-f8ce-4614-b39c-6f6a8c9f9dd1</guid><dc:creator>hiroyuki.tanaka</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660992?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660992/adc12dj5200rfevm-ti-jesd204c-ip-support-on-versal-vck190-with-adc12dj5200rfevm/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADC12DJ5200RFEVM&lt;/p&gt;&lt;div&gt;
&lt;div&gt;Is the TI JESD204C IP supported on Versal VCK190?&lt;/div&gt;
&lt;div&gt;We would like to evaluate the ADC12DJ5200RFEVM using the TI JESD204C IP (TI204C-IP v1.12) on a Versal VCK190.&lt;/div&gt;
&lt;div&gt;Would it be possible to receive a reference design for the VCK190?&lt;/div&gt;
&lt;div&gt;Our target mode is JMODE46 (single-channel, DDCx4, 8-lane 64b/66b, lane rate 10.725 Gbps, E=1).&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>DAC8163: Model: DAC8163SDSCR chip burning exception</title><link>https://e2e.ti.com/thread/1660964?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 07:26:18 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:356b622f-6ae2-445d-9560-9e075b58831e</guid><dc:creator>jack liu</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660964?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660964/dac8163-model-dac8163sdscr-chip-burning-exception/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; DAC8163&lt;/p&gt;&lt;p&gt;Model: DAC8163SDSCR,&lt;br /&gt;When burning, I execute the first instruction first and then the second instruction. No output was found. Applying an external reference and executing the second instruction results in output, which means the internal reference does not work. Please take a look at the reason&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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QtaorO9VdT22kI8gkE8gkE8oDsRtfyBeAAAoFZnfq8AG7QAAAAAAAAAQgBLEQAAAAAAAIAQwFIEAAAAAAAAIASwFAEAAAAAAAAIASxFAAAAAAAAAEIASxEAAABdE1H0JGjzcnf3FdtCU8uFHUznxUMUJpzdtOBHazNDwzETf151IOo91syR2PPTq387k9GWqsM3uTg6Ojo6Of3iPG/Byq0n7+fxVY5nn1vjsuDAIzZfsZrcqMNrnGzNjQzNbJw9g1NKm9Sbe8nTxbG2YmfXRev8bmRXtT4qqjbhX1mcBzv7ht+6RfPmLfx9X3g2u5mDOqpHBJZumzaPcrNa7BHs+eGFv18tJHgfSg1c8Ufom+ZqTA1caGNiaLnm39ZNCCw1cMW6f14hhIjitKRsTuvibuiBulLY89Orfw9+2VyWCE6itpy6VeHVN+oL/NX531233iriPag0coe715U8gqK8AET+P78uPvGqHWaDMMFSBAAAQFeEpfnOsvN9q2ExRv6J52Sno8J+Pe6ceIj8SwstJm583Hfyir/89m901cnzt5/w681iyoPFJOX69ZNjtKH6yozISyl0Q2sWa5yFgSYtcdc0Yzv/5/XvvbGUk7svPIjY6Xe94YTYiwD7MY4ni/Xn++zZs8Fe8d5q6xm7kmv4oy57dvNiRu+x1tYslvlolY9n5rIWhn5s49uur20TJSLv3DzWwquYjo2NDvfqQmvX8/nU4XRQjzRfus06rUfw18fWnpX70VaR960jnhcfdiu1hLpOTpTfplsyc3btcjft3aog8Lz4sBvJnxEqD3azWh9Z0brQ63ugvhRR+OR6eNKn5qagwC5r06lbo75RdWjMAcTDvQevfKjvYKLg6oG9STQNpTa+KxfvN2Uq7ej6c21dwoiWDvl/RQAAAICOxYkNCPhgH3hzlQUDzVLKGeF1PMl1q4HwXtQ6J56qqG2/Xxm49eHVpZo0hBAaM3a8Ls3W4Wps+aRp0oj9/nFEdNoHrvQg0wlW2rLiYpLyTKaYJCLy74ck9JmoUx4dncntP2aStZYMQkTJq+RsUl1vsBz/2x9xZWMHtwVMcYQQWupi4GSy0ufCT/84yCOEOHGnQyumbFmesfp4yPuZ/2OKI0QUnN/gnWYbmHBsqjxCCFlaGPcptNgbGr9G15w/dBpzrMsCVxmEEHIdVThszs2EmtlTJPn7MC/+VuRz9gBzC5nUqArjn81VxZtrkxhlm1qvJOJS7LC1j3YuYYqjnw0rHpmERFQ5OEtRHttOPeKha97ozS9F6Uba0CPUo9yOPcK+53ug/McrJrVjxnkff/PuC1zTXKLhCKL4eeTtR7kk09jGeoQ8en/v3LW0MsaAkpclNMumceO5MefjGDb2JoriCM+NOf+o56SZOrX1lDy5FvWq+v39M5eNXe10ZRBCCM+JPhfHmDjbVFkcz4k6G4XG/TJOjUYUPLxwl7Qwl2cyxSR4Sv2igBBCnHdxl2IzsQFmP7C0pHnb2nwSSTc6NX+TaIjIu/dPQi8DxbeP8/qZGxBxqRQd3rihTfuaYTLn50FWIVfy5y1iiiOEiA+Xz8cOc9o1su3XC6lx/5vk5XrwyU/bjCRacbhIgm9FAAAAdD1EfmLKp+GGegyEEOploD/kTXKyMDdpdU48nEeXb5RYz/uldh2CED4JdIcAACAASURBVEKIPmJdROrhadLE53APYxP3o1FJTyMOzjc1WxVRgbCsEJ9NF14iLCtk43LHH2ZvuRZ319/VxGLtvSqEuI/2OMzeHkv1YX09cVW7Obb02NsP2AghVBl5+orYVMeZDg6GCadO125vqY75N5oxcfZE+foiSg5BGfFbzZtWxq0sLiwsLPyYkxx28SEaO16f/61TxX0floGD7+3Yaz7TWbOWeIdkcgW0CaNsU4Oqs7Oke9B59P7xFO8H3fIuoe9uLat981+R9TJfTkWlR2tG4Bt6pMmH8FSlv75HqEe5/XqkKjIoTHrCFA0aQqj8nreVoeP+2/curbPzuF5MIIQQO+Xv6YaTN16Oe3jVZ6rBNL8UTk3Zp1I2XlP+6WNp1SeKuNPPem67+oZACCEs/aznX9dy6z7b51YVl3IITllhUWXdQ2L050EeW69/IhD++vwG9wWe/7zBEfHx8ubVF9+KZ4f4bLrwkr8UmRe8cNaGCzGR/m5mln/c59tvJiCJeCtp2iTEfXHec6Gd4x+ht8PvZWU07XCqAaJAH+HsqPM49FJti/G3If88NXZ21KBRHdsC+rDJ4/GLZx8KnMiiDb4VAQAA0PUQxSXlvWVlal/ExPvISJNlJaUIyXXveGrevv2oPHxwL4QQ+j97dx4Q0/YHAPw7i5mURF67SiotaNG+0aIi2yO914oozxIPPduz9Sgv2Z4l9LysqUSWIttPO2VXlpRdlIr2MlMzd35/hKIalczc+H7+YmbOud/zvbc759x7zh1gP0o+ea2QCwAUUVVrB3jKctp8aq2LIhWqrT3U1qY84lg1ia9C2Tcj3leOWh3roR54PjfISt8xNPdJ65t6jy4j26fidjELQKQs4WBCL+c4ExE5TXfrZYF7r/qHmNErCotYsgMV29CZYCctHaKxEoBXX1NFqE/+z1Cy6cVQ4tXBNTtFFl++ME+Vxn2yzcFgCwDUP27WJuDfpo9xiHrEVnm0JaWcp1F+889qLUq0aeMUp07LSEulm95iaGNGvrCXOysjnLwrtzhaP6vQAIhXEUE7mX9cuuA/gMbJCR5mchiAKIkJCCrzSUpZqkUHzv0gS7uguEmH/cZHbniu57f0l743QpvF3cJo9T2qlJWnk9qf1SMXTDP/8BdElXF01A5MSq/1tky+VKapXnkprdxfMul/9wxH2/WGjM9Kiace5vEG+586/ZsCtSbeW3PVuZy1FvotbeuzlD1ct+ZDJaacAxM/a9LxuQekgVdvtOBYlEdvqEv9vVnCjeub76CWGkrr7+Zpui7i6NNZ/qrwMPpInvXvznIduztA19LVLP0n4xl36ICODGVIAIciCCGEuiA6jUpwPkzZJzhcXjfmV0+XJ308NDExJqumlgcAAO/yEqOjbnN45TmpT6yjH+/2WVF3+NDS2Q8ePbx/+1qF6Mz6piWpcloD+1ABgCH1U08Om93WueXcqopqRg9xBhCvT0ScqSWsw/xmUKHuDfNhRviFlWajRHuK06orK7kAn3WDOLfCF/17rZYHFFGj6WtNAZgOW5/Ge0sAADv/zKKx7u5/a2UG6H3ohdTfuZkjZxaoTAMAmtIwK7XtpQBM4w63iZt3dk/iUw6vMXXKtlOdND7r9FTc2D7VNbjUKyp2epu7cZ2TkRBvuRZLN06IIllGuAWvSnpLS1MBoD4nO+8nwxX9aABAVx1qpnQUgJNz807p7RQ7pW0AAMCuKO177zH8/KH0F+JuC5rSSAflXYnXyiH1kZGfd0FwWkaZ5IVbg0Zu7QMPW/g8VU57kBQVALpJSoq/q65ppdrPU9b4TktNApAGqryaqlgrpQmmaRsbSpV39rQO2BaTN28hOyr2tdOaUR2+bNFNWrp3yasCDuBQBCGEEBIUuoKiXO2lgnICZKnAzX9V3EOhb7umxnfJeESMzfXe/nchu87aiAG9nFYfcwKoS5s/2KOaKIycZLnk7a/+k8ePnL6i5J9hgZ8VpVIbr7nymlXcGk5eakbJYLchTOLFkYhUpXHLHPTFAAAG/1QcHBZ+bO1ID2MTrZdn0vO5pqrv+0HcvI0jx9yadM+/1UqZinZu9rJ7bmezQO9j11ukO/Nd9fvpOERt7TsAIAojp5h1sE3cNw8yL9+oa3y127tBkz7peBOvzyweNy2uX0DCqek6bVtU/XUZuTi/STWtlZ7UuHCZZBnpRqcBjwcAQGGKdHtXXd1QE4/NquOJAoh0F+kz4b+HB8eLAQBwOBw6nQ6s90/WIgojJzWPm0qhEFyCAADg1dayvnRU0tRGDhf3ORfFy1IfFuL4MvzAxb30zP4j/5KhtjgUASqtTT3z1lPWQpOAnQgUGo1GbaU0URg5me8OakJyzKSRf64+kj205vi78TttxQAAyk4scA17KtadAlyQMJ3192KTa4sm7ngs1p0CADR1j39Wdd/687bcHt2pAFSFcUH/TNagAY/H41HpdEpbWktKOBRBCCHUBUkMs9NffjTywdQF2vU3ok++NJ1jKtKGYl07Hqqy1yKvHe6+c7Qj1rkN6kUFbvn9+OMZJRQ9yrObWSz9RX/M8ZJjPdg7JbGk7lfOF+581BQ9ec2TVpVtea02ALvk7qmQmaGlE3Z4qkBucORN/Wnh82f2a+jf1ek9jx2xN/KZx9zJs4ZvXzp7g9l+fwsZOvdt5j/zN2dp/mVF11fetHPa+6o490411sutyovfd6ZA00WvSYKYhqNsuTN3RM02maxcEBsa+5AzCjhPm7eprZlimM8LN+fzPuf+Fvepp3V2Ju76WaGxx1rz+kkR9O8v+00yIm+gvMngfUa4OWtntVx6Xn9a+zLS1vtbHcvIR3QVFfmSrJf1YMJgDBnryJy8Y89dy9/UXkXvjHvBnQIMnZHDJSZu2ZBuucJS7NHeyfYrRP+5u3/kh7pbipsmLdO74PKVZ3VGCk8iI5NLCZWmm6PTKdUVFVzo02RZlPYIW5brutPKfvOlNArN2c7r4rWXLFagArdZqU8WqbfTh0paatLLf/lfX2jXDuph7zV2oX/QRlb3XyJNmAAARP3rh7RRYUf95KmcZ6HjJu9yOtr3MW1U6FE/+fcjnqp9j7h2m4780b/JLmK9fFmqYKvSdTv0uGwdIYRQF0RT9QmeR99iO9jQUGdMpPKqwF9lhPqNJqB4ejluTNgzpjhkuIqcqpZWf1lFi6V3DIJjgkaYT1s8Kn+lnrK6tsXsS9oOumVPn/J/Hikr+U9L0z8uNPv5iLrk+coMerduDAlVx4A7hptO7XKWIW5FHH5g+quz0scOEMPIy0392v592VQFz7AoP5E9o9XkVTXU+qo4hhLTIsK8lZttj33atw+d3q0bo7ucxdIc0w27F+g07Tz1sA8K92Gvs5KXUh17iK0oxWAwmIbN2/TVCXwfTEroltSi3L0TlZkNa7hFR+wqIlj/W2xmvqTZh9uZEaKVjDQ5HDitl253RjrpqbMtZqTJ+zQlayvpO5nZdQAgZrP6gL/Y7hH9pFVG7a3rJ0sDAJGhq6MC1c5PGigt3c92E3tKePC4Xh8LM1qKmz7YZ8UUbqiNksIgr6T+Np8+PUrEcPjQZyu19ZZebfIiY8hIG1qRqNkwJRpjiI0ZtUrRwUmZ1lKpa1+RiY+VZDdv0pfKttjQVj/NtJjkXB93VsrVa+DHxhNlealnz5w5dSw2vUy2vxT1wwtnzpxNufeWAOBVPEo/d+bMmXMZTxomnbFvZt5THWYt3NPfV6HweG2/Udu2GimdX2eHkSoYjOeLMB7+MB70Pemc44dVnJdbSJXXVJP62oUZXSyeuopXT5+XcHoqqfeTJMVDPFklj/NeVNJl1TUVenSkU1STHX+8TMdtmDINoCrGbcBW/bSURWoCnvzOfbLZZ9f8vSGdUtl3kZEmuDkhdp5v/s74ZHE96kxE8a7R9klmkwYXnorMdTwQt8Sw7r+x1heMppj2AKD21B0/xShxommczjSrXhSanKXXL0a9qaykuWYhmsdPzerXqYeGIL/fu+79HIQQQj88EekButLCDqIJgcXDkFDQ0FEQxJbaSERKVUfqK8rTK1LWuq+/scLPssezY8EpGlOWd27Xqi24z26LjJ3RWbV9Dxlpiqbl+4fBqLD4UjNnyTZ8HHUITcFq2nw/+akmc5xWho+L8wKagtW03xsnaAFV1nzy7/M/TNAiimL/vWm9aK1wD42v1HXv5yCEEELoO8G0CkrY/4vIrYT41GLdVWePLxgo+GulNNUJM8f3F/hmW0GGjHyqt1PQqkHPb77t0j/t3TX0tgv4U/7A4vDnRP3dvb4TJ0yYMGGCs8/O2599jCi5XmCyZqVNa+u9ugacoCVQGA9/GA9/GA/6npDt+MF4EEKogSDPP3hXBCGEEEIIISQEOBRBCCGEEEIICQEORRBCCCGEEEJCIOw1UAghhH5UFAq5fiAY40EIIQHDoQhCCCHhINWybLItEydbPAihH4cgr4PgBC2EEEIIIYSQEOBQBCGEEEIIISQEOBRBCCGEEEIICQEORRBCCCGEEEJCgEMRhBBCCCGEkBDgE7QQQgh1TUTpjcjt+5JfUFUcfea6DBYXdjwAAECUnAsJrXZf4axE+2ZbuB61I+xIyt2XlZTeqqbjZvrPsFZo8duck3NgcThl+gYvjTZXnbBmwcEHHKBQqFSGqJSaxcSpnhbyjZVzH0ctCUhU9tvmZyLSWKwuPzl8678nMh6+5fbWtJuyaKG7jsSn9eYfW/nnkcccAAqFxuzZV3+cr89IVdGOtP59m9Z5aXxtflmPz/y7++TN14S03s+/zXBSFWnpQ98qI3xLt0+79zJ/3/4ARugTeFcEIYRQV8S5u9l5/ObnKlbmkjeWO7nvfsIVdkQAROnlde6TA+LvlH+rx/AShcemW9mvuvaT0+9/b92yylunYNfE4fPOlrX4YYpIbzm53sx2VF+Tm3gsm25oa2NjbWWgRru5fozx+F05nA9vc7L3bTh6+WLI1lONG+Q8CJto7ravbMjUgI0bl02USvO3Hbc+q+7TqCvvnY3NFbOwtbWxsdSTLTo42Wb6kSKiIwlof5taRBRETbGZfpKj4+CgU39yuq13dGHL4XyjjLReut06KSMAAjmAEfoc3hVBCCHUBbHTw8JeTww/u8CKCc7SLwau2HPbO9BAmF9q7OtbfpkUWtFPsee3eyJ/bXLQohPKgZknZ6vRAADMLex0aY6uJ9OrRowRB9araxdT7r6uF+9vOnyYRi8qRURSQYEiAkThpZjrPe11qlJS8ur7mo+wHSABQJQ/yXrM66ev2vvTi5JUGWPXab4KVACA2V4G7ibzA47+cthVEgDYGQeOVI9aMyfXf0/Mqwm/KVABiOLoZSvvOoZf/2+0JADAUCvjniVWm45cXahr+WnoNAULL19vCQAA78ElWpPOXq9zGfXprQB2wdVziTksRUsriTvJ1ca/WspTW2sTpcU2tV35xWPpWouvhMxSoMKvhtVXTGIu1rp69mjxs52Ukbm6lp+NF1oo/Zl2ZKTlvdwegjiAEWoG74oghBDqeojCm9lvtA31mQAAogZD1J9lZVUJNyQeTcXzUGbCHL3u32wT7CvHz5TbTvFQa5w7Qx+45OKdnWPEibcJc41NfHYn3751MXSqqdmCi9XAeRgT8NfRR8B5GLNqjttIlzXxGUm7vE2sFqfVAtRf2ejqEpze0sX6j6jy4yc50tPPX2YBANQkHjhBGe02wdXV8Pr+A7lcAIB3qadTmPYu9pIfi0i7RuReDbRsXll9TVlJSUlJ0YusuNhMsLAbwvjk7epLATYGrpvPp8cHjLVxnrUyJq+eT5s4LbapUe0hZ/Fu9CbEft5f3eR9Sa8jL8/5NXT+qx8+KuwtK9utLXvgKzLS7L5FS6U7npGW93LbMyKQAxih5vCuCEIIoa6HKCuvEusl0fAlRu0pIc6rLK8A6C3EkET0x7oAsM98w03UPX9eJKP9fpEF+1HyyWuFXACgiKpaO8BTltPmU2tdFKlQbe2htjblEceqsSRRoeybEe8rR62O9VAPPJ8bZKXvGJr75ItbpMvI9qm4XcwCEClLOJjQyznORERO0916WeDeq/4hZvSKwiKW7EDFNnQm2ElLh2isBODV11QR6pP/M5RsejGUeHVwzU6RxZcvzFOlcZ9sczDYAgD1j5u1Cfi36WMcoh6xVR5tSSnnaZTf/LNaixJt2jjFqdMy0lLpJqOztmbkC3u5HRkRwAGMUHM4FEEIIdQF0WlUgvNhyj7B4fK6MTtnujyZ0cTEmKya2oZ5/O/yEqOjbnN45TmpT6yjH+/2WVF3+NDS2Q8ePbx/+1qF6Mz6piWpcloD+1ABgCH1U08Om93WdRrcqopqRg9xBhCvT0ScqSWsw/xmUKHuDfNhRviFlWajRHuK06orK7kAny1y5twKX/TvtVoeUESNpq81BWA6bH0a7y0BAOz8M4vGurv/rZUZoPehF1J/52aOnFmgMg0AaErDrNS2lwIwjTvcJm7e2T2JTzmNKx5oyrZTnTQ+6/RU3Ng+1TW41CsqdvqAti7S7pyMhHjLtVi6cYqYcDKCkMDhBC2EEEJdD11BUa62sKCcAADg5r8q7qHQt51T47sgEWNzvbepF7LrAAB6Oa0+FhcXFxs0WpYKRGHkJDP3AyXypuPnrI8K/rnP51/vVGrjK21fkszJS80oGWw0hEm8OBKRqjTOy0FfV1dX18jZywFOhh8rJsSNTbReZqTnN84u4uZtdNDwjOBTKVPRzs1eNvd2Nqtp07oz31XXNPSdidradwBf1SbumweZl5vKfFDM+eQTxOszCx3GbKMvTDi10kqyzb2hjmfkddOBQWulhZkRhIQCh8MIIYS6IIlhdvrLj0Y+mLpAu/5G9MmXpnNMO/w41C6Dquy1yGuHu+8c7Yh1boN6UYFbfj/+eEYJRY/y7GYWS3/RH3O85FgP9k5JLKn7lfOFOx81RU9e86RVZVteqw3ALrl7KmRmaOmEHZ4qkBsceVN/Wvj8mf0arvXX6T2PHbE38pnH3Mmzhm9fOnuD2X5/Cxk6923mP/M3Z2n+ZUXXV960c9r7qjj3TjXWy63Ki993pkDTRa/JDmMajrLlztwRNdtksnJBbGjsQ84o4Dxt3qa2ZophPi/cnM/7nPtb3Kee1tmZuOtnhca7FzWvnxRB//6y3yQj8gbKmwzeZ4Sbs3ZWy6Xn9ae1LyNtvb/1pYwgJCR4VwQhhFAXRFP1CZ5H32I72NBQZ0yk8qrAX2V+hG+0Xo4bE/aMKQ4ZriKnqqXVX1bRYukdg+CYoBHm0xaPyl+pp6yubTH7kraDbtnTp9V8a2Il/2lp+scF1uev1yXPV2bQu3VjSKg6Btwx3HRql7MMcSvi8APTX5v81ATDyMtN/dr+fdlUBc+wKD+RPaPV5FU11PqqOIYS0yLCvJWbbY992rcPnd6tG6O7nMXSHNMNuxfoNL0a2sM+KNyHvc5KXkp17CG2ohSDwWAaNm/TVyfwfTApoVtSi3L3TlRmNqzhFh2xq4hg/W+xmfmSZh9uZ0aIVjLS5PDktF663Rnhv5cRIj0Kj9fJz46mUDq/zg4jVTAYzxdhPPxhPOh70jnHD6s4L7eQKq+pJvW1C0XIdjx/IZ66ildPn5dweiqp95NktPopAWKVPM57UUmXVddU6NGRMWFNdvzxMh23Yco0gKoYtwFb9dNSFqkJ+Ff2uE82++yavzekUyr7LjKCflCCPB/iBC2EEEJdloj0AF1pYQchDAwJBQ0dBWFH0YSIlKqO1FeUp1ekrHVff2OFn2WPZ8eCUzSmLO8n8F4399ltkbEzOqu27yEjCH17pLqdXZG+ebrP+uSPvzlK5J9Y6bPi+Auh/oIuUXojYvUcH5/fg47cEfIz6zGeLhgPAAAQJeeCA2KFeyB/CIWM+fm+kPI8hhDpMa2CEvb/InIrIT61WHfV2eMLBgr+WilNdcLM8f0FvtlWkCEjCH17pBqKSBgPH/B4nc8fJ4oJAKi7v32aX1wvOxslIV4G4Nzd7Dx+83MVK3PJG8ud3Hc/EXJ3AuPpWvEAABCll9e5Tw6Iv1Mu/KkfZMzPd4eE5zGEugRmv+F+f4ft2/fvhkUuOr1J1T0REswI+iHwOtvX1VmfGzpCWtE16mXl5RVG8paB198JMRgej5Xkp645P5XF4/F4VfFTlfSWXa/HeDCedkR07Z+xWurDRhpKGazK+qpYOiMe8uXnO9XJ57HvFdmOH4wHIYQaCPL8Q7ZBNn3AbzvXGab6j3ecskdqRfhiA6E+m5EovJn9RttQnwkAIGowRP1ZVpYwJ7VgPF0rHgDg0VQ8D2UmzNHrLtw4AMiZn+8Uuc5jCCGEEGmRb+IhrZ/nKp+tRmtr5iZ7DxByeERZeZVYL4mGKKg9JcR5leUVAL0xHoynjUT0x7oAsM8IMYRGJMzPd4tM5zEyo1Aowg7hExgPQggJGPm+IzmPwpf9V2FkxNm79J9JFxbrfO3zGb8KnUYlOB9+UYngcHndmBgPxtNlYX4EhlTnMRLrSg/PFTiyxYMQ+nEI8joI2SZosW6t917+ePyOuBOhzq+DfdZeqRVmNHQFRbnawoJyAgCAm/+quIdCXwmMB+PpojA/gkKu8xhCCCFEWuQailSkrpq6ocZnd7BjH+nRITsmVW/xXZlSIcSAJIbZ6d89GvmADVB9I/rkS9PhpkKd9I3xdK14yAbzIxCkO48hhBBCpNXpC+E7XCe3KM5HXdJsTePDZqrSFutJDJiR8FbwwXxUdWWdg5KMuoGBirTqxH/vs7+uNoznR4unASvBR4kMT9Aia36+J9/iPPa9Itvxg/EghFADQZ5/On8qKqmmt3ZOMKzivNxCqrymmtTXTvjGeH7EeDoP5gd9T8h2/GA8CCHUQJDnHxyKCBTGwx/Gwx/Gg74nZDt+MB6EEGogyPMP+Z6ghRBCCLUZUXIuJLTafYWz8H/Rnii9Ebl9X/ILqoqjz1yXweLfajMl16N2hB1JufuyktJb1XTcTP8Z1gotfptzcg4sDqdM3+Cl0eaqE9YsOPiAAxQKlcoQlVKzmDjV00K+sXLu46glAYnKftv8TJqsNKvLTw7f+u+JjIdvub017aYsWuiu8+kjMYj8Yyv/PPKYA0Ch0Jg9++qP8/UZqSrakda/b9M6L41O2d9fOny+VUb4lm6fdu/lVrEen/l398mbrwlpvZ9/m+GkiosJkSCQa9k6Qggh1HZE6eV17pMD4u+UC//+AefuZufxm5+rWJlL3lju5L77CfdbbIUoPDbdyn7VtZ+cfv9765ZV3joFuyYOn3e2rMUPU0R6y8n1bs9UzJrcxGPZdENbGxtrKwM12s31Y4zH78r58Axw4GTv23D08sWQracaN8h5EDbR3G1f2ZCpARs3LpsoleZvO259Vt2nUVfeOxubK2Zha2tjY6knW3Rwss30I0VERxLQ/ja1ri2HzzfKSOul262TMkIURE2xmX6So+PgoFN/crqtd3Rhh3YQQu2Ed0UQQgh1SezrW36ZFFrRT7EnGX4JkJ0eFvZ6YvjZBVZMcJZ+MXDFntvegQad/SVbmxy06IRyYObJ2Wo0AABzCztdmqPryfSqEWPEgfXq2sWUu6/rxfubDh+m0YtKEZFUUKCIAFF4KeZ6T3udqpSUvPq+5iNsB0gAEOVPsh7z+umr9v70oiRVxth1mq8CFQBgtpeBu8n8gKO/HHaVBAB2xoEj1aPWzMn13xPzasJvClQAojh62cq7juHX/xstCQAw1Mq4Z4nVpiNXF+pafho6TcHCy9dbAgDAe3CJ1qSz1+tcRn163Z1dcPVcYg5L0dJK4k5ytfGvlvLU1tpEabFN7dH2w6eTMjJX1/Kz8UILpT8Psu0ZaXkvt135xWPpWouvhMxSoMKvhtVXTGIu1rp69mhPFQh1BN4VQQgh1CXxaCqehzIT5uh1F3YkAEAU3sx+o22ozwQAEDUYov4sK6uq07fCvnL8TLntFA+1xtlE9IFLLt7ZOUaceJsw19jEZ3fy7VsXQ6eami24WA2chzEBfx19BJyHMavmuI10WROfkbTL28RqcVotQP2Vja4uwektXaz/iCo/fpIjPf38ZRYAQE3igROU0W4TXF0Nr+8/kMsFAHiXejqFae9iL/mxiLRrRO7VQMvmldXXlJWUlJQUvciKi80EC7shjE/err4UYGPguvl8enzAWBvnWStj8ur5tInTYpsa1R5yFu9Gb0Ls5/3Vn2yvY4fPV2Sk2X2Llkp3PCMt7+W2Z0TS68jLc34Nw6Hqh48Ke8vKdmtPZhDqILwrghBCqEsS0R/rAsA+I+w4AACAKCuvEusl0fClSu0pIc6rLK8A6N25W6l7/rxIRvv9Igv2o+ST1wq5AEARVbV2gKcsp82n1rooUqHa2kNtbcojjlWT+CqUfTPifeWo1bEe6oHnc4Os9B1Dc598cYt0Gdk+FbeLWQAiZQkHE3o5x5mIyGm6Wy8L3HvVP8SMXlFYxJIdqNiGzgQ7aekQjZUAvPqaKkJ98n+Gkk0vhhKvDq7ZKbL48oV5qjTuk20OBlsAoP5xszYB/zZ9jEPUI7bKg288HT18Oi0jLZVuMjpra0a+sJfbkZH3OE+j/Oaf1VqUaNM50+AQ4g+HIgghhNBXo9OoBOfDEgKCw+V1Y3Z+T44mJsZk1dQ2rGx4l5cYHXWbwyvPSX1iHf14t8+KusOHls5+8Ojh/dvXKkRn1jctSZXTGtiHCgAMqZ96ctjsti4D4FZVVDN6iDOAeH0i4kwtYR3mN4MKdW+YDzPCL6w0GyXaU5xWXVnJBfhs2TfnVviif6/V8oAiajR9rSkA02Hr03hvCQBg559ZNNbd/W+tzAC9D72Q+js3c+TMApVpAEBTGmaltr0UgGnc4TZx887uSXzKaVwDQlO2neqk0Qmdns7JSIi3XIulGydECScjFTe2T3UNLvWKip0+QOjPgUA/BpyghRBCX+siNwAAIABJREFUCH0tuoKiXG1hQTkBAMDNf1XcQ6FvOxcvtIGIsbne29QL2XUAAL2cVh+Li4uLDRotSwWiMHKSmfuBEnnT8XPWRwX/3Ofzr3cqtfGVtq/x5+SlZpQMNhrCJF4ciUhVGufloK+rq6tr5OzlACfDjxUT4sYmWi8z0vMbZxdx8zY6aHhG8KmUqWjnZi+bezub1bRp3Znvqmsa+s5Ebe07gK9qE/fNg8zLTWU+KOZAJ+h4Rl43HRi0VlqYGSFen1noMGYbfWHCqZVWktg/RAKCd0UQQgihryYxzE5/+dHIB1MXaNffiD750nSOaec/C5Wq7LXIa4e77xztiHVug3pRgVt+P/54RglFj/LsZhZLf9Efc7zkWA/2TkksqfuV84U7HzVFT17zpFVlW1uZzC65eypkZmjphB2eKpAbHHlTf1r4/Jn9Gq6V1+k9jx2xN/KZx9zJs4ZvXzp7g9l+fwsZOvdt5j/zN2dp/mVF11fetHPa+6o490411sutyovfd6ZA00WvSYKYhqNsuTN3RM02maxcEBsa+5AzCjhPm7eprZlimM8LN2/rhxtT8vpJEfTvL/tNMiJvoLzJ4H1GuDlrZ7Vcel5/Wvsy0tb7W1/KCOf+Fvepp3V2Ju76WQHvhyABwlEvQggh9NVoqj7B8+hbbAcbGuqMiVReFfirzLf4hu3luDFhz5jikOEqcqpaWv1lFS2W3jEIjgkaYT5t8aj8lXrK6toWsy9pO+iWPX1azbcmVvKflqZ/XGB9/npd8nxlBr1bN4aEqmPAHcNNp3Y5yxC3Ig4/MP21yY9vMIy83NSv7d+XTVXwDIvyE9kzWk1eVUOtr4pjKDEtIsxbudn22Kd9+9Dp3boxustZLM0x3bB7gU7Tq6E97IPCfdjrrOSlVMceYitKMRgMpmHzNn11Avlh/W+xmfmSZi+3MyNEKxlpcjhwWi/d7ozw38ttxk4J3ZJalLt3ojKzYVW76IhdRZ1TNUJ84a+tCxTGwx/Gwx/Gg74nZDt+OiceVnFebiFVXlNN6msXinwhnrqKV0+fl3B6Kqn3k2S0+ikBYpU8zntRSZdV11To0ZExWE12/PEyHbdhyjSAqhi3AVv101IWqQn48jz3yWafXfP3hnRKZd9FRtAPCn9tHSGEEOqCRKQH6EoLYkMMCQUNHQVBbKmNRKRUdaS+ojy9ImWt+/obK/wsezw7FpyiMWV5P4H3urnPbouMndFZtX0PGUHo28O7IgKF8fCH8fCH8aDvCdmOH4xH2NjP/rc77Mj1Qt5P2vaTfJ11ev/wU8gxI0hYBHn+waGIQGE8/GE8/GE86HtCtuMH40EIoQaCPP/gCBshhBBCCCEkBDgUQQghhBBCCAkBLltHCCEkHBQKRdghfALjQQghAcOhCEIIIeEg1VoIsq3NIFs8CKEfhyCvg+AELYQQQgghhJAQ4FAEIYQQQgghJAQ4FEEIIYQQQggJAQ5FEEIIIYQQQkKAQxGEEEIIIYSQEOBQBCGEUBdGlJwLDoh9wRV2HB98+3iIkuuH/vL92dbM0NDc/tcF25NfcVr5JCfngP8fB3PbU3XCX15ubm5u7u4enlN85wfuu1TwSeXcx1ELvXy3X2F9UqwuP3nnQndHSyNDMwfP5ZHZFc3qzT+23MutoWJP7xlLtp55XNv2qFpqU2fl90u761tlhG/p9mn3XuaPX0Y4OTunLzpZQnTWtgSAcyf89z+PPGtlB7PuhE93MDEcuvB0VZtrW3L4CReAKLt7+zEbgCg8PG/m3iekOf90RTgUQQgh1FURpZfXuU8OiL9TTo7H3n77eIjCY9Ot7Fdd+8np97+3blnlrVOwa+LweWfLWvwwRaS3nFxvZjuqr8lNPJZNN7S1sbG2MlCj3Vw/xnj8rpyPfW9O9r4NRy9fDNl6qnGDnAdhE83d9pUNmRqwceOyiVJp/rbj1mfVfRp15b2zsbliFra2NjaWerJFByfbTD9S1KEebfvb1Lq27K5vlJHWS7ebwDLCffrf4kO9f3aU6kpdR27B1bhzre1gdvLWv85JTFq/3sdUrM21ncl6y4OqyGnDliZWA1DlRo2m7V4aVdCVxmckg78rghBCqEtiX9/yy6TQin6KPcnxS4CCiKc2OWjRCeXAzJOz1WgAAOYWdro0R9eT6VUjxogD69W1iyl3X9eL9zcdPkyjF5UiIqmgQBEBovBSzPWe9jpVKSl59X3NR9gOkAAgyp9kPeb101ft/WnPkipj7DrNV4EKADDby8DdZH7A0V8Ou0oCADvjwJHqUWvm5PrviXk14TcFKgBRHL1s5V3H8Ov/jZYEABhqZdyzxGrTkasLdS0/DZ2mYOHl6y0BAOA9uERr0tnrdS6jRD7NYMHVc4k5LEVLK4k7ydXGv1rKU1trE6XFNrVH23dXJ2Vkrq7lZ+OFFkp/HmTbM9LyXu7EjLDSNm+v+vmEScOWrvawHliWcumV6CA7RwNZBgAAcIqzL1y8UURVNLa30ZaEFylRGUx7F1MZKvdF8qFksPawVqIRxZlHk3jDXMxkoCwn8fyVfJ6CsYPtQEkaEAVph6+LGkg9v1YgN3S0mWLTZH1aM60NbWW/uno26QFXzZLR+BrxyRbhVVpU/N1KpmL5o3La0OZ55eanRmcwHSaaSFGBm58afaX7iAk6DfWU34hPfvLu1aWDx43njde1/m3ECu/QG78EGTEAdUBXGtoihBBCH/FoKp6HMhPm6HUXdiQNBBAP+8rxM+W2UzwaxiEAAEAfuOTinZ1jxIm3CXONTXx2J9++dTF0qqnZgovVwHkYE/DX0UfAeRizao7bSJc18RlJu7xNrBan1QLUX9no6hKc3tLF+o+o8uMnOdLTz19mAQDUJB44QRntNsHV1fD6/gMNc6TepZ5OYdq72Et+LCLtGpF7NdCyeWX1NWUlJSUlRS+y4mIzwcJuyKcdt+pLATYGrpvPp8cHjLVxnrUyJq+eT5s4LbapUe0hZ/Fu9CbEft5f/cn2Ora7viIjze5btFS64xlpeS93XkZqEyPixIePUqEBcB7GrJrrOcZzQ9KtpM0uBg7rrrMAqi6tttV1Cjh+OT1mib2u08Yb7+g5EXMDT70hgPs0epmP7/LDz7hAFB1f7R/7nFGXvW2sodOq4xmZJwNGG4zZms2G+gfRy6ePd/vzyPmEtCdNJ8E1q7n2S22tSls5zNBty/m0Y0vGzz1VRgAAsJptsa7yTQWLW1f1pqii9k0Leb1/aHnQyWcEAADn/qHlf8fnf7jzUV9bVsEm2JUlpTUAQNdysuPGHsrk+6eEWod3RRBCCHVJIvpjXQDYZ4QdxwcCiKfu+fMiGW1VUQAAYD9KPnmtkAsAFFFVawd4ynLafGqtiyIVqq091NamPOJYNZYkKpR9M+J95ajVsR7qgedzg6z0HUNzn3xxi3QZ2T4Vt4tZACJlCQcTejnHmYjIabpbLwvce9U/xIxeUVjEkh2o2IbOBDtp6RCNlQC8+poqQn3yf4aSTS+GEq8OrtkpsvjyhXmqNO6TbQ4GWwCg/nGzNgH/Nn2MQ9QjtsqDbzwd3V2dlpGWSje9hN/GjHxhL3dWRjh5V25xtH5WeT8IJqr6+qTF/aZErZsaYO6w7vjCTaV/beXOTU1bqs0A1o0VFo6ron/d5qgdmJRe622ZfKlMU73yUlq5v2TS/+4ZjrbhxMwMKvNJSlmqRQfO/SBLu6Djcw9IA6/eaMGxKI/eTTdM5B/4vOZI92MD+LSVeBURtJP5x6UL/gNonJzgYSaHAYiSmIDPthg397Df+MgNz/X8lv7S90ZosyOthdH0e1QpK08ntT+rRy6YZg4AQNfS1Sz9J+MZd+gAWquFUKtwKIIQQgh1DTQxMSarprZh4vu7vMToqNscXnlO6hPr6Me7fVbUHT60dPaDRw/v375WITqzvmlJqpzWwD5UAGBI/dSTw2a3dWY7t6qimtFDnAHE6xMRZ2oJ6zC/GVSoe8N8mBF+YaXZKNGe4rTqykouwGedMM6t8EX/XqvlAUXUaPpaUwCmw9an8d4SAMDOP7NorLv731qZAXofeiH1d27myJkFKtMAgKY0zEpteykA07jDbeLmnd2T+JTTuESApmw71UmjEzo9nZOREG+5Fkv3+PhxkmWEW/CqpLe09IfhI13LapgCFQAYGib6zBN36++/eShrsVqNAQAgMsjGrFd01iOl2Q7KuxKvlUPqIyM/74LgtIwyyQu3Bo3cKpGz7k7p7RQ7pW0AAMCuKO17D0AaqPJqqmKfpWrK8OxmNefCAD5trc/JzvvJcEU/GgDQVYeaKR0F4OTcbGGLP38o8oW8fkk3aeneJa8KOIBDkY7ACVoIIYRQ1yBibK73NvVCdh0AQC+n1cfi4uJig0bLUoEojJxk5n6gRN50/Jz1UcE/9/n8651KbXyl7WvqOXmpGSWDjYYwiRdHIlKVxnk56Ovq6uoaOXs5wMnwY8WEuLGJ1suM9PzG2UXcvI0OGp4RfCplKtq52cvm3s5u+twoke7Md9U1Df1Jorb2HcBXtYn75kHm5aYyHxS39qCxdul4Rl43HRi0Vpq8GelGpwHvY508FovV8J/6ysp3TFGKqCiztqr6/fvcqqpahqgITW3kcPHMc1EXs9SHjXW0krp2ce/pzP4jR8hQRbqL9Jnw38OCBkUVNVlrAAAoNBrt8yZRurdQM9+2Upgi3d5Vvy/BY7PqeADQyhYbtJxXKoVCcAkCAIBXW8vi81fD4/F4VDqdHGvWuh68K4IQQgh1DVRlr0VeO9x952hHrHMb1IsK3PL78cczSih6lGc3s1j6i/6Y4yXHerB3SmJJ3a+cL9z5qCl68ponrSrbo5X32SV3T4XMDC2dsMNTBXKDI2/qTwufP7Nfw3XfOr3nsSP2Rj7zmDt51vDtS2dvMNvvbyFD577N/Gf+5izNv6zo+sqbdk57XxXn3qnGerlVefH7zhRouug1WbTONBxly525I2q2yWTlgtjQ2IecUcB52rxNbc0Uw3xeuHlbP9yYktdPiqB/f9lvkhF5A+VNBu8zws1ZO6vl0vP609qXkbbe3+pYRj6iq6jIl2S9rAcTBgAA537M9lM+u8b2vLk1LL2f01KGfpE1ddo/Yb+ZzNXhXN227ZyYzaHBQO82wpbluu60st98KY1Cc7bzunjtJYsVqAzpkcMlJm7ZkG65wlLs0d7J9itE/3n5b+PKc7r+tMaDp/pcCzVDFJ+WDhnryJy8Y89dy9/UXkXvjHvBnQIMnRa2uH/k+xItHmk0aZneBZevPKszUngSGZlcSqg0TQedTqmuqOBCHxoAsF6+LFWwVcEudcfgXRGEEEKoq+jluDFhz5jikOEqcqpaWv1lFS2W3jEIjgkaYT5t8aj8lXrK6toWsy9pO+iWPX1azbcmVvKflqZ/XGj2ixZ1yfOVGfRu3RgSqo4Bdww3ndrlLEPcijj8wPRXZ6WP808YRl5u6tf278umKniGRfmJ7BmtJq+qodZXxTGUmBYR5q3cbHvs07596PRu3Rjd5SyW5phu2L1Ap2nXrYd9ULgPe52VvJTq2ENsRSkGg8E0bN6mr04gP6z/LTYzX9Ls5XZmhGglI006XJzWS7c7I/z3cqehKVlbSd/JzH6/NpsmI1e6dbiizADXBPWgvQv1oIf93xELex0c27+PjJbH6X5/Rf9tJwbAGDLShlYkajZMicYYYmNGrVJ0cFKmAYgMXR0VqHZ+0kBp6X62m9hTwoPHtbrllmvmR8xm9QF/sd0j+kmrjNpb10+WBl/YIqOlI40+2GfFFG6ojZLCIK+k/jaDPhloiBgOH/pspbbeUgAA9s3Me6rDrGWwS90xFB6vkx9+TqF0fp0dRqpgMJ4vwnj4w3jQ94Rsx08Xi6eu4tXT5yWcnkrq/SRJ8QhRVsnjvBeVdFl1TYUeHemS1WTHHy/TcRumTAOoinEbsFU/LWWRmoCn3nOfbPbZNX9vSKdU9l1kpAluToid55u/M0LMIPX3wbOY+2+GmJLi0BM2VtJcsxDN46dm9fuOVooI8nyId5MQQgihroYhoaChoyDsKJoQkVLVkfqK8vSKlLXu62+s8LPs8exYcIrGlOWC79hxn90WGTujs2r7HjLSFE3L9w+DUWHxpWZjhBkG2RBFsf/etF609nsahwgY3hURKIyHP4yHP4wHfU/IdvxgPMLGfva/3WFHrhfyftK2n+TrrNP7h5/vQrqMECXnNh2kec/RuLX3HG30VBt5YQckfETR6Y1Roj7zbHq34cNdiCDPPzgUESiMhz+Mhz+MB31PyHb8YDwIIdRAkOcfHNAihBBCCCGEhACHIgghhBBCCCEhwKEIQgghhBBCSAi+yVqRzq0QIYQQQgghJDBd+2G+5FlpR7ZlfxgPf2SLB/FHtv2F8fCH8fCH8SCEUANB3lfACVoIIYQQQgghIcChCEIIIYQQQkgIcCiCEEIIIYQQEgIciiCEEEIIIYSEAIciCCGEEEIIISH4Jk/QQgghhL45ovRG5PZ9yS+oKo4+c10Giws7HgAAIErOhYRWu69wVqJ9i8oT1iw4+IADQKFQqYweclq2Hr4uepIkuqz4MUQKhUpliEqpWUyc6mkh39jb4D6OWhKQqOy3zc9EpLFYXX5y+NZ/T2Q8fMvtrWk3ZdFCdx2JlqpvuTRCqMsi0ekLIYQQajPO3c3O4zc/V7Eyl7yx3Ml99xOusCMCIEovr3OfHBB/p/wbPYa3JjfxWDbd0NbWxsZ6qJFyVfzvthM23+d8m411zIcQbWysrQzUaDfXjzEevyvnY4ic7H0bjl6+GLL1VNnHIpwHYRPN3faVDZkasHHjsolSaf6249Zn1bVQeUulEUJdGd4VQQgh1AWx08PCXk8MP7vAignO0i8Grthz2zvQQJhfauzrW36ZFFrRT7HnN30iP1XG2HWarwIVAIBrT8secjTuyTztAbzi7AsXbxRRFY3tbbQl4UVKVAbT3sVUhsp9kXwoGaw9rJVoRHHm0STeMBczGSjLSTx/JZ+nYOxgO1CSBkAUpB2+Lmog9fxagdzQ0WaKTAAA4OanRmcwHSaaSFGBm58afaX7iAkGdRkxV3tYDyxLufRKdJCdo4Esg1+Is70M3E3mBxz95bCrJACwMw4cqR61Zk6u/56YVxN+U6ACEMXRy1bedQy//t9oSQCAoVbGPUusNh25OlfXkvlZipuXRgh1bfhnjBBCqOshCm9mv9E21GcCAIgaDFF/lpVVJdyQeDQVz0OZCXP0ugtsk9ya6neU7mLdqy+tttV1Cjh+OT1mib2u08Yb7+g5EXMDT70hgPs0epmP7/LDz7hAFB1f7R/7nFGXvW2sodOq4xmZJwNGG4zZms0GqH8QvXz6eLc/j5xPSHvSeAvj/qHlQSefER/+/Xd8PsF5GLNqrucYzw1Jt5I2uxg4rLvO4hciVX78JEd6+vnLLACAmsQDJyij3Sa4uhpe338glwsA8C71dArT3sVe8mMRadeI3KuBn49DWi6NEOra8K4IQgihrocoK68S6yXR8CVG7SkhzqssrwDoLcSQRPTHugCwz3zjzXCfng7+85UYALf65ZX4U1Uu4c5ExJSt3LmpaUu1GcC6scLCcVX0vG2O2oFJ6bXelsmXyjTVKy+llftLJv3vnuFoG07MzKAyn6SUpVp04NwPsrQLOj7p8HgAXr3RgmNRHm1IIVHV1yct7jclat3UAHOHdcenH3HjU4ouI9un4nYxC0CkLOFgQi/nOBMROU1362WBe6/6h5jRKwqLWLIDFb/cH2mpdLM7MgihrgWHIgghhLogOo1KcD5cvic4XF43ZrOr6N8nKo1Op9MpVKacwZQdi38eMVjsf789lLVYrcYAABAZZGPWKzqLpjTbQXlX4rVySH1k5OddEJyWUSZ54dagkVslctbdKb2dYqe0DQAA2BWlfe895owHoMqrqYq1KQK6ltUwBSoAMDRM9Jkn7j7mgGHr3QluVUU1o4c4A4jXJyLO1BLWYX4zqFD3hvkwI/zCSrNRoj3FadWVlVyAzxb6c26FL/r3Wi0PKKJG00O85Vos3eOrcokQEjYciiCEEOp66AqKcrWXCsoJkKUCN/9VcQ+Fvi0+cum7Q1Me8cfqOU2XSdSJijJrq6rfr5TnVlXVMmSBpjZyuLjPuShelvqwEMeX4Qcu7qVn9h/5lwz1dXeRPhP+e3hwvBgAAIfDodPpwE4ECo1G+3zWNpVCIbgEAQDAq61lvd8Ej8V6/8/6ysp3zH5i/BbHcPJSM0oGuw1hEi+ORKQqjVvmoC8GADD4p+LgsPBja0d6GJtovTyTns81VX0/FuHmbRw55taki/ObVNNa6UnSONMcoa4MhyIIIYS6IIlhdvrLj0Y+mLpAu/5G9MmXpnNMf9SnuzL0R1hTp/0T9pvJXB3O1W3bzonZHAKga4+wZbmuO63sN19Ko9Cc7bwuXnvJYgUqQ3rkcImJWzakW66wFHu0d7L9CtF/7u53arFmmrRM74LLV57VGSk8iYxMLiVUAACAcz9m+ymfXWN73twalt7Paal6a88tZpfcPRUyM7R0wg5PFcgNjrypPy18/sx+DR+v03seO2Jv5DOPuZNnDd++dPYGs/3+FjJ07tvMf+ZvztL8y0reQHmTwbSGmrg5a2e1XHpe/2/w1GSEkKDgxQSEEEJdEE3VJ3gefYvtYENDnTGRyqsCf5X5Yb/Retj/HbGw18Gx/fvIaHmc7vdX9N92AMAYMtKGViRqNkyJxhhiY0atUnRwUqYBiAxdHRWodn7SQGnpfrab2FPCg8f1aqVi+mCfFVO4oTZKCoO8kvrbDHp/+ZImI1e6dbiizADXBPWgvQv1Pr+qWZc8X5lB79aNIaHqGHDHcNOpXc4yxK2Iww9Mf23ycysMIy839Wv792UTCp5hUX4ie0aryatqqPVVcQwlpkWEeSs32Z+c1kt3ci4RQoJF4fE6+eHnFErn19lhpAoG4/kissWD+CPb/sJ4+Ps+42EV5+UWUuU11aS+dqHI95mfb6Au9ffBs5j7b4aYdvaScVbJ47wXlXRZdU2FHj/ssBIhMhDk+QcnaCGEEOqyRKQH6EoLOwjUOUSkVHWkhB0EQkiwcCiCEEIIobaiqYzxn0dTwu4DQqgz4AQtgcJ4+CNbPIg/su0vjIc/jIc/jAchhBoI8vyDszERQgghhBBCQoBDEYQQQgghhJAQ4GRPhBBCwkGh8PtpPMHDeBBCSMBwKIIQQkg4SLUWgmxrM8gWD0LoxyHI6yA4QQshhBBCCCEkBDgUQQghhBBCCAkBDkUQQgghhBBCQoBDEYQQQgghhJAQ4FAEIYQQQgghJASkGopUpG+e7rM+uezD/4n8Eyt9Vhx/wRVuWABAlJwLDoglQSAAROmNiNVzfHx+Dzpyp0rYwZAwHhIh7/FMDqTMD9mOZxLFQ8r91RDJj3R+JkoS/vJyc3Nzc3N39/Cc8tvCdYdvlxLfZFMd9TFEd3cPzym+8wP3XSrgNP0A93HUQi/f7VdYnxSry0/eudDd0dLI0MzBc3lkdkWzevOPLf/QdE/vGUu2nnlcK4DmIIS+MVINRSSMhw94vM7njxPFBADU3d8+zS+ul52NEk24YRGll9e5Tw6Iv1Mu/Mcqcu5udh6/+bmKlbnkjeVO7rufCPnbl2zxkApJj2fSIGF+yHY8kyoeEu4v+BHPzzW5icey6Ya2tjY21kONlKvif7edsPk+pw0lBeZDiDY21lYGarSb68cYj9+V8zFETva+DUcvXwzZeurjuBY4D8ImmrvtKxsyNWDjxmUTpdL8bcetz6r7pFqi8t7Z2FwxC1tbGxtLPdmig5Ntph8pItcwDCHUAbzO9nV11ueGjpBWdI16WXl5hZG8ZeD1d0IMhsfj8VjX/hmrpT5spKGUwaqs+q+s7KvjYSX5qWvOT2XxeDxeVfxUJb1l178qpu8tHtLp5OOZbL56f5Hs751sxzPZ4iHb/vohz8/cp5uG9rDZ+pL7/v+c3GAzMdO/czk8Xn1RVkLknr3RF+695fB4nOfJB6MzXnN5PB7nedL+/UnPOTwej1uUcTj68msuj8ctvX8heu+eqPN333Iaan6VGnnyeu7l2Iijl1+wPmyP8yIl4nBmMffDv49cfcPlFqRHnbhd+DApel9E3PVC9hdC5L6K/LWvzC9Rb9+nKXWexoDZhzYNlx256/1nuEUHJ0irTIt/+7GKoiiPAUbL0lhN662/u9qgx+g95R/SfXGWisLUU9/XORUhshBkf4xUd0UAgD7gt53rDFP9xztO2SO1InyxgYiQA+LRVDwPZSbM0esu5EAAAIjCm9lvtA31mQAAogZD1J9lZQlz0gbZ4iEf0h3PJEOu/JDteCZbPGTbX3h+BgDg1lS/o3QX6159abWtrlPA8cvpMUvsdZ023nhHz4mYG3jqDQHcp9HLfHyXH37GBaLo+Gr/2OeMuuxtYw2dVh3PyDwZMNpgzNZsNkD9g+jl08e7/XnkfELak8ZbGPcPLQ86+Yz48O+/4/MJzsOYVXM9x3huSLqVtNnFwGHddRa/EKny4yc50tPPX2YBANQkHjhBGe02wdXV8Pr+A7lcAIB3qadTmPYu9pIfi0i7RuReDbRkNqusvqaspKSkpOhFVlxsJljYDWF0ckIRQoJGvl9bp/XzXOWz1Whtzdxk7wHCD09Ef6wLAPuMsOMAAACirLxKrJdEQ1aoPSXEeZXlFQC9MR7yItnxTDpkyg/ZjmeyxQMk218/7vmZ+/R08J+vxAC41S+vxJ+qcgl3JiKmbOXOTU1bqs0A1o0VFo6roudtc9QOTEqv9bZMvlSmqV55Ka3cXzLpf/cMR9twYmYGlfkkpSzVogPnfpClXdDxSYfHA/DqjRYci/JoQ8hEVV+ftLjflKh1UwPMHdYdn37EjU8puoxsn4rbxSwAkbKEgwm9nONMROQ03a2XBe696h9iRq8oLGLJDlRswwEZXOVuAAAgAElEQVTFTlo6RGMlAK++popQn/yfoSTZrqcihNqLfH/FnEfhy/6rMDJi7V36TzZb2NGQDJ1GJTgfLlcRHC6vG7P5VaMfOB4SwuOZP1Llh2zHM9niIdv+IhvB7S8qjU6n07sxROUMpuxIu7rbuc+D7IeyFjZqDAAAkUE2Zr1ys2hKIx2UryVeK09PfWTkN0UrOy2jLO3CrUEjHSRybt4pvb3BTkleXl5eafimO6UP7j3mAABVXk1VrG1t1bIapkAFAIaGiT7z4d3HfBercKsqqhk9xBlAvD4RcaaWuBfmN2PGsgtvmA+jwi9UA1W0pziturKy+dIazq3wBTNnzJgxY+aC8FscAGA6bH1aWlpaWlZV+fSo3c1Z7n/fJtUyGYRQ+5FtKMK6td57+ePxO+JOhDq/DvZZewUfkNEEXUFRrrawoJwAAODmvyruodBXAuMhMTye+SNXfsh2PJMtHrLtL7IR3P6iKY/4Y3Vg4JrVfy2bP3XUYEkaUERFmbVV1e9X7nOrqmoZokBTGzlcPPNc1MUs9WFjHa2krl3cezqz/8gRMlSR7iJ9Jvz3sKBBUUVN1hoDOgBQaDTa550CKoVCcAkCAIBXW8t6vwkei/X+n/WVle+YomIUPvFy8lIzSgYbDWESL45EpCqN83LQ19XV1TVy9nKAk+HHiglxYxOtlxnp+Y1jEW7eRgcNz4jXrS9KZyraudnL5t7O5js5DCFEfuQailSkrpq6ocZnd7BjH+nRITsmVW/xXZnS7Il+PzCJYXb6d49GPmADVN+IPvnSdLipUCdrky0eksHjmT/S5YdsxzPJ4iHd/iIbIe4vhv4Ia2r8P2G3q4Aou7pt2zkxGwcAuvYIW1bUutMS5kOlNGzM2YfWxcs4OilQGTojh0uc27IhvYSA2ry9bqr9Jh8vb6VmmrRM74KbV57VETUPIiOTPzw3mHM/ZvupFxyi/OrWsPR+TqPUW3uQGrvkbuzSmaGlE+Z6qkBuZORN/WkB82c2mL1ymdtPF/dGPgONybOGP948e8OlIg4AcN9m/jN/c5amjZW8wbRNO3ft2rVr56Zp+p/M3+JW5cXvO1OgOUQPv3MQ6uo6fSF8h+vkFsX5qEuarWl8KEtV2mI9iQEzEt7yL/gtgvkMK8FHiQxPaOHxqq6sc1CSUTcwUJFWnfjv/c8fXfLDx0Me3+J4Jpuv2V/k/Hsn2/FMnnjIub8a/FDn588fT/Xx9dKMfzwMFX+S/ElGzWraruuVPB6Px2Ml+qkwtBZlsnm86pOTZZjGQfcbHpdVeTNsmrmKVB8pKYVBY1aeLeDyeKyLs9R0l179PI3cF8cX2AyQl5HtZ+i5yGuIwYpb9eyUuQOUrcfbqMv+JKViMX3v3ZpmITIoNBqNRqd3Y4rLD3L8PeLeOx6v/tqfOr1G7Goaen32XwZieitu1vO4xclrxw3o1UOq/wBVWfGeKiNWni/8rI31d1cbdPtQbzexn9SH+vx7q+prMowQao0g+2OUhu11Igql8+vsMFIF02nxsIrzcgup8ppqUl87Efn7jAcJCtn21/d5PJMtns7zfcbz/e6vj+pSfx88i7n/ZohpZz++ilXyOO9FJV1WXVOhB7nmbCD0gxHk+QeHIgKF8fBHtngQf2TbXxgPfxgPfxhPG327oQhCiCQEef4R/tMYEUIIIdRV0FTG+M+jKWH3ASHUGfCuiEBhPPyRLR7EH9n2F8bDH8bDH8aDEEINBHn+wdmYCCGEEEIIISHAoQhCCCGEEEJICHAoghBCCCGEEBICXHeGEEJIOCgUfr/SLXgYD0IICRgORRBCCAkHqZZlk22ZONniQQj9OAR5HQQnaCGEEEIIIYSEAIciCCGEEEIIISHAoQhCCCGEEEJICHAoghBCCCGEEBICHIoghBBCCCGEhACfoIUQQqgLI0rOhYRWu69wVqIJOxSAbx0PUZKwZsHBBxwACoVKZfSQ07L18HXRkyTRZcWPIVIoVCpDVErNYuJUTwv5xt4G93HUkoBEZb9tfiYijcXq8pPDt/57IuPhW25vTbspixa660i0VH3LpTuOcyfcP6rn/LUu/b55C4j8Yyv/PPKYA0Ch0Jg9++qP8/UZqSraGa1AqAsj0ekLIYQQahei9PI698kB8XfKyfHY228eT01u4rFsuqGtrY2N9VAj5ar4320nbL7P+TYb65gPIdrYWFsZqNFurh9jPH5XzscQOdn7Nhy9fDFk66myj0U4D8ImmrvtKxsyNWDjxmUTpdL8bcetz6profKWSn8VbsHVuHN3ygXRAqLy3tnYXDELW1sbG0s92aKDk22mHykiOqcdCHVZeFcEIYRQl8S+vuWXSaEV/RR7kuOXAAUUD1XG2HWarwIVAIBrT8secjTuyTztAbzi7AsXbxRRFY3tbbQl4UVKVAbT3sVUhsp9kXwoGaw9rJVoRHHm0STeMBczGSjLSTx/JZ+nYOxgO1CSBkAUpB2+Lmog9fxagdzQ0WaKTAAA4OanRmcwHSaaSFGBm58afaX7iAkGdRkxV3tYDyxLufRKdJCdo4Esg1+Is70M3E3mBxz95bCrJACwMw4cqR61Zk6u/56YVxN+U6ACEMXRy1bedQy//t9oSQCAoVbGPUusNh25OlfXkvlZipuX/gzr1bWLKXdf14v3Nx0+TKMXlSi8FHO9p71OVUpKXn1f8xG2AxpuVbBfXT2b9ICrZtks+M5swUJdy0/rpSlYePl6SwAAeA8u0Zp09nqdy6hOub2DUFeFd0UQQgh1STyaiuehzIQ5et2FHUkDIcTDral+R+ku1r360mpbXaeA45fTY5bY6zptvPGOnhMxN/DUGwK4T6OX+fguP/yMC0TR8dX+sc8Zddnbxho6rTqekXkyYLTBmK3ZbID6B9HLp493+/PI+YS0J403AO4fWh508hnx4d9/x+cTnIcxq+Z6jvHckHQrabOLgcO66yx+IVLlx09ypKefv8wCAKhJPHCCMtptgqur4fX9B3K5AADvUk+nMO1d7CU/FpF2jci9Gvj5OKTl0k0QbxPmGpv47E6+feti6FRTswUXq4HzMGbVHLeRLmviM5J2eZtYLU6rBahKWznM0G3L+bRjS8bPPVX2hRsTX9GC5pXV15SVlJSUFL3IiovNBAu7IS0PhRD6ceBdEYQQQl2SiP5YFwD2GWHH8YGA4uE+PR385ysxAG71yyvxp6pcwp2JiClbuXNT05ZqM4B1Y4WF46roedsctQOT0mu9LZMvlWmqV15KK/eXTPrfPcPRNpyYmUFlPkkpS7XowLkfZGkXdHzS4fEAvHqjBceiPHp/OQSiqq9PWtxvStS6qQHmDuuOTz/ixqcUXUa2T8XtYhaASFnCwYReznEmInKa7tbLAvde9Q8xo1cUFrFkByp+uT/SUummPfn6x09ZTptPrXVRpEK1tYfa2pRHHCsAokLZNyPeV45aHeuhHng+d03/zKCdzD8uXfAfQOPkBA8zOfylDXdaC4CdtHSIxkoAXn1NFaE++T9DMi3zQUgocCiCEEIIdSFUGp1Op1OoTDmDKTsW/zxisNj/fnsoa7FajQEAIDLIxqxXdBZNabaD8q7Ea+WQ+sjIz7sgOC2jTPLCrUEjt0rkrLtTejvFTmkbAACwK0r73nvMGQ9AlVdTFWtTBHQtq2EKVABgaJjoM0/cfcwBw9a7E9yqimpGD3EGEK9PRJypJazD/GZQoe4N82FG+IWVZqNEe4rTqisruQCfLfTn/J+9Ow+IaX0fAP7MYkpp0b5cLVrI1kq2okWb7ZvlXmUJxY1wL12XbnZlu/a1XFlT2SnLxS+lokhSshTZQ6KpZkpTc875/RGt0xTSnK7n85dmznnf533et+m8857zSg/7c3dqGQUMmd7T103RFHl2h5rjpfr4LK44cjjA7+HjR/fvpBbLzKgEAGBqmnRXZgIAR1VFXigQCB5k5qhYLdZjAQDbwLafzvGm2tsyLVjVF0DKaevTmCkKACB4eeHPEZ6eq01SlpnhpRj6keF0HCGEEGo7WLouf6wIClq5Ynng3KlDeyqxgCEjI1XG4396Up7g8co4MsAydHWUS7kYGZthNGiEs41qauy+cymdXV3UmdLtpZVH7Xn0ukp+cWnGSks2ADBYLFb9iwImg0ESJAkAQJWVlX+qgiov//TPypKSj1IysuIejhHmJCQX9OxtIUW+OBaeoDNyopO5qampae/RE53gTNjJd6RcH2uTV8lJL2vutyJyNjh1mRD+tvadU42dXeuINxGT+nkeLNDq6z7778g1/1P+3Bgms6ZZFABDSrrdR/6ndFGC8oqmthj4+haIKVSqk4PHEI3sO5lib29D6L8Pp+IIIYRQW8YxdxnM9N4c+qv1nF7Cm9u2XZS1OwzA7uZiXz5u7TndWXNVu7zpLxi9NqbbwgXaTI6aq6PCmC3rkwYuHij7eJ/XkMUym7MOuIksmaWm3vH19RvPKnprP4mIiC8k9QEAQHj/6PazPiEj5G9vDU3ScwswamzfYkFB1tl1M3YUjto5QR+y10TcNvcOmztDr+rwCrPnJ1z2RTwbP8drpuP2AL/1/Q74D1BnEx9SNs/dlNF1uY2Wpe5GS++qkogHq2aKPvv3zp9qFz69nVFu/ucfsydqlj/cN/lKQcUvQlGPgXAsRjhLee3cmzXwV8O8qF3RL4jJjef221rANtfduOtTC0B472xNuQQvJ2b/hdddx5rhQ+voB4erIgghhFCb1mHI6vD5iodGdFZWNxl/Tm951GoHAOBYuNqx8mX6DdJhcSzs+jF5nZzcdFkA0rYrIoMML03qrqamZ79RMDlszUjFRgpm9/RZPJnYYaej3WNiXGe7Hp++vmSpaxZudeykbjzuvFHwvvkNbjCqiJ+ry2G3a8dRMHBedtdq49mQ0epkeviRh31/qfXfrXB6T/QwSj2wP5PUnhAaOUt67zBDLYMuhj/pO+8gvcNDp+jWukIRNn529TEcK+8FQ18uMdM16jbA71o3J1Pu06d8Ua2StVtx0F/2Hxc9Nf2h+yr0NERMpL6wBcxGWtCgXMG5acpsdrt2nPaaAwIe9F3/z7xe+JUw+sExKKqFNz9nMFq+zK9Gq2AwnibRLR4kHt36C+MRD+MRD+NppoqE33rOlDpwe13flt78qbwgN+dFCVvDqKt2h7b5RWnbbwFCAK38+YOzcYQQQghJnrSqQS9VSQfxTdp+CxBqdTgVQQghhFBzsfSH+//O0sHLB4RQS8AbtFoVxiMe3eJB4tGtvzAe8TAe8TAehBCq0pqfP3gvI0IIIYQQQkgCcCqCEEIIIYQQkoDvcoNWyxaIEEIIIYQQajVtewct+tzeSrd7bTEe8egWDxKPbv2F8YiH8YiH8SCEUJXWXFfAG7QQQgghhBBCEoBTEYQQQgghhJAE4FQEIYQQQgghJAE4FUEIIYQQQghJAE5FEEIIIYQQQhLwXXbQQgghhL47sjAtYvv++BdMfWefOWN7ykk6HgAAIAsurtvB91w8Wof1PQo/v3LeoYdCAAaDyeR00DSxHz9trJlSa3ytKLwb5h8pP3flWL0WbFh1gxgMJpMjo2o4YMzUCQO0aq5NiNzIhcuu6M7aNstauua0ipfxYVt3n05+9IHo2NVh8p/zPXspiCpe9NmNByOy64QPDi4IY0xfO7FLnZfJwrSIzdsj4+/lV8p1th7lt+DXQZr1rqlIblZmoZGZgVSzMnErcmfosatZr0oYHQ36jpzh7ztYmw1kwfmVf0Sr+G3w6yNbddyHC0Hz79pu+9O2rInUIdQ24KoIQgihtkiYtWm0+6bn+jb9ldIWuXn+84SQdEQAZOH1tZ5ey2LuFn2nbXhLs6+czGRb2dvb2Q227a3Li/nNftSm+8LvU1ldxOub0RdbvGGfG2RnN9jG0pB1++/hfdxDHlQ3SJi5f/3x67Hrtp7lVp8ifBg6pr/Hfq7F1GUbNgSOUU30tx/5d0aFiMJFnd2YxruOLEg7ey69oO7w4sbOt3cMTNP1WrV7zwY/q7yt/xvse+oNWecYXoT3oIAr/GZkgXxzcrrNkKWpKm6/rd66ZemUXq9Dxjj+/i+3KkFRu+f7Bl8vrcnY8au5lU2mDqE2AqfPCCGE2iBBUmjo2zFh/86zkYLRai+6L957Z0qQpST/qAlubfl50o5ivU7y33VHfqZ6n3He07SZAADEEFamxfHoJ793M6beZV6OTctnduozxK6bEry4GpksNWRsX3Um8SL+cDwMHj9Yh0W+SzkeRw0a208duA+uXLrxktLu42TfXYkFQL5OPHJLxlL1eeprTdth/TrVfJEvyLv5b9xDwnAgpyYGYbMrsxlIXr0tP6QX7+rVnMqf+rvYGzdYvqjdIL+Jlp7Wc5cd//nIOCUAECQfPMYfunJ2tv/eo3mjftVmApDvogKXZDmH3dozTAkAwNamj3yBzcZjN+eYDqy3+iDibCC5uelPGAbmnRVrfxXbzK4j3904duZJp+E/WxfuCgwpHnssfpmbIgCYmVnp8KxtF66fMnTDgE9pIovSYuKffMy7duhUnynupgp1U1Z3YaksPvjP07pBKWf8DFkAAP0HOJiynMedSeK5DAUAtlGXytBZwcMSV/WXbXbqEGorcFUEIYRQ20O+uZ35vpuVuRQAgIylhdGzjAyeZEOiWPoTDqecn23WvtWqJEr5HxntZdvzr62wN3Vbdup60tGFQ0zdNqR9ZD8InxN09j0JxNOoQJ9pi448I4DMP7XC/8RzTkXmthFWbktPJaecWTbMcvjWTAFA5cOoRdPdPf46dul84pOab9Z5iUsGWXlsuZR4cqH7nLNcEgCA9yWVMXOPLp3t4Tp2ZUxyXMgUa5sFiWXiGsTUcp/kzE66dB0AAEqvHDzNGOYxatw4q1sHDmYTAAAfE85dlRoydkj15TZTbVx49s2g+vMQ0WdDxfV1v4z7O7my7qHN6TrqQ9yikT9vfqJmqMZ4Fx+Xqew81kHx85scs9HDjV8mXHlUs3ZSWcYtFpCCkoLCUrK4fsrqJEFw49SFIvvJ4w1rJijs7gtj7+4aXnXPIdtk5vaZzJBZNSsjTacOoTYDV0UQQgi1PSS3iCerqFD1R4wpryBHlRQVA3SUYEjS5iPGAggufOdqiKfn1vyVJwtA8F/diDnLGxs2mgyfvJWYk5AY0I0D5WmLBzgvjfp9m3O3oLiksikD469xuxqVXEss8leK+797VsPshEdnBHN94q4GmLBBeD94oEPwqUlH3AGoyt7zTkaOr5VCMi88eJfUH9cu+xuzhA/WDLI+AkC+PLi8fmW/bGmsMoeOkEwW605LjpmmyeSfGG8UdCk72MZczLUHW11DufjOOwAA7vlD5xVHR1tLa3b1HBwYtO+m/7p+7OI3+eUa3Ts1ffUi6mwOSA8NfTy0wbFNdh3FT1s1ZttVh/1nV9gpM4mcEj5DRV2t1toGW1tbnVHK5xMAVa8yVW0muBn+xXed592Xv8OlXsoiPM/6aH4+t+L583z1bgYyAAAgeBx/JvUNAQAMGYPBw62q4rMK2OF3wdUvaFhS0E/NSR1CbQeuiiCEEGqD2CwmKfz89T0pJKh2Us15Ovg/gMlis9nsdhwZTcvJOxNv/jNa+WHmI40BdoYcAADpHnb9FLMzWDquTrqpV1KLkhIe95412SQzMZmbeDm9h6uTwoPbdwvvrHfQ0dLS0tJx3Hi38OG9XCEAMLUMDereAFT5IDNHxaqvHgsA2Aa2/XRYAJX3G1b2WLOxypQBgKlp0l2ZCQAcVRV5oUBANtKuKgSvmM/pIAdAvj0dfqGMvBc6y9c38PJ7qUeRYZf5wJSRl2PxS0oaPhgkTA+bN8PX19d3xrywdKHos78W+ezAsi3pH9WNDDoyAYCl2VlX5n3+u1pBCPPy3rXTM9AVNUUSlbLsWu+zZGWlykvLqp5R+ZhzJSoyMjJi15Jf/f5J/7x6w5CxDtjhxwr1C0pufFWpOnUItSU4FUEIIdT2sLU7aZa9eV1EAgAQL/PeddD+SeQmSv85LF2XP1YEBa1csTxw7tShPZVYwJCRkSrj8T89bk3weGUcGWAZujrKpVyMjM0wGjTC2UY1NXbfuZTOri7qTOn20sqj9jx6XSW/uDRjpSUbABgsFqvuRQFDSrrdR/6ngilBeQUFIiuTZjdaGQAAk1lTbFNPvQtzEpILeva2APLFsfAEnZETncxNTU1Ne4+e6ARnwk6+I+X6WJu8Sk56WTMNIHI2OHWZEP62djGNnf2VOWeouO9MOeiaucg/Io8EADmnCSPZscfjij8fUJ4aeea9y6SRaqKuqkSmrNb70n36m31IuJxZAQCg6LbiZHR09IngYRp1y5KxDtjuxwqdtS69XHSQ1alDqE3BqQhCCKE2SGGQg3nW8YiHAgB+WtSZV30d+zZjv9b/JI65y2BmzObQOzwguTe3bbsoa+cEwO7mYl8eufacQn9b1S52/QWH18aoO7tpMzm9XB0VLm5Zn1RAQlnOPg8DPa9TRY0UbDHCWerCzr1ZpWR5TtSu6BeE6Mp6chqr7IvaISjIOhEwY0fhqDkT9InsiIjb5t7L5s6o4rck0EMldl/EM+jiNdMxd5Pf+mv5QgAgPqRsnrspo6udjZa598ZdISEhIbs2evfKbeRsAkrfPnnyVtwzF6Iw5LQ6dR4WtNr2RoD/kdckgKLb6j0ej5f7hd3lAZTlRM32v2a/c9PP6nUazGazGfziYkJkymodx9Sd+OfEipBpsw9nfZpaF92POZVcwGDVXWOR6Ruw3Y999HBqw93CaqfuC9uGkIThVAQhhFAbxDLwWfM7e4t9TyurXsMjdJcG/aL+w/5F6zBkdfh8xUMjOiurm4w/p7c8arUDAHAsXO1Y+TL9BumwOBZ2/Zi8Tk5uuiwAadsVkUGGlyZ1V1PTs98omBy2ZqRiIwXL2q046C/7j4uemv7QfRV6GizRlck2XlkzVMTP1eWw27XjKBg4L7trtfFsyGh1Mj38yMO+v9T6Hz44vSd6GKUe2J9Jak8IjZwlvXeYoZZBF8Of9J13kN7hoVN0a/W+sPGz+f+3oF//hbGNLCyIxdQYvSaoT+KC+cefX5xlYuy+5eadIzOmbsnK2+/ntTftzt4JJjqTT9YuWNrK0fbZkm5mAfcHiUpZLYrOG87vHf5unaO+poGJSWeNTgMC7lquORrsUO+eQ5m+AdvnmkpVb/MlKnU/7G8BaqsYFNXCe4QzGC1f5lejVTAYT5PoFg8Sj279hfGI99+Mp/xdTvYbplZXQ9VvfVDkv5mf/7DygtycFyVsDaOu2h2+4PKbeLLJJ8QqdJ0NpxkHt7aK4rynzwuE8jpGekp0jA/9MFrz8wenIq0K4xGPbvEg8ejWXxiPeBiPeBjPD4HIPbk702yae2fcQBShxuFUpMXQKhiMp0l0iweJR7f+wnjEw3jEw3gQQqhKa37+4D2FCCGEEEIIIQnAqQhCCCGEEEJIAnAqghBCCCGEEJIAfG4LIYSQZDAYjGYc1XowHoQQamU4FUEIISQZtHosm26PidMtHoTQj6M1vwfBG7QQQgghhBBCEoBTEYQQQgghhJAE4FQEIYQQQgghJAE4FUEIIYQQQghJAE5FEEIIIYQQQhJAq6lIcdKm6T5/x3M//0y+PL3EZ/GpF4RkwwIAsuDimmUnaBAIAFmYFr5ito/Pb8HH7vIkHQwN46ER+o5neqBlfmg5nunx+UPL/qqKhBb5qQrlu48fsuD88okeHh4eHp6e4ydM/nX+2iN3CsnvUlUDwrthv/117FnLJrq6QZ6e4ydMnjY3aP+118LaBxC5kfMnTtt+o7zOaRUv43fN93Qe2Nuqn9OERRGZxQ3KfXly0edETZjiu3DrhdyyZgQjcigJHxz0/+NQdv2XycK08CVThtr2sern8PPvO66+EUJ9JDfrTq6gyXo/VX7r8PJp/7PvZ2XVf8gv87bH5wnhU4K8fHfcLK0+7sOFFVPXxZc2nTqE2gZaTUUU+jga5671+eP0OxIAKu5v954Vrehgp8OSbFhk4fW1nl7LYu4WSX5bRWHWptHum57r2/RXSlvk5vnPEwn/9aVbPLRC0/FMGzTMDx3HM20+f2jYX0Cn/LTW+CnNvnIyk21lb29nN9i2ty4v5jf7UZvut8oVKPH6ZvTFFk/05wbZ2Q22sTRk3f57eB/3kAfVDRJm7l9//Hrsuq1nq2fBIHwYOqa/x36uxdRlGzYEjlFN9Lcf+XdGRZ1iyZJ7/57Ilh1gb29nN9BMI/+Ql930Y/niJm2NDyWyIO3sufSCut3JjZ1v7xiYpuu1aveeDX5WeVv/N9j31Ju6FfAivAcFXOE3Iwvkm5PTbYYsTVVx+2311i1Lp/R6HTLG8fd/uVUJito93zf4+ufJSGn2leNXcyubTB1CbQXV0r6tzMrsHS5qncZFviq5vri31sCgWx8lGAxFUVR56uYRJkaDXK1ULZdmVH5jYd8cT3ncLKOucxPKKYqieDFTdcwCb31TTP+1eGinhccz3Xxzf9Hs951+45lenz906y+65adVxg/xdKNtB7utr4hPPwuz1/ST7bs6W0hRlfkZ5yP27ou6fO+DkKKEz+MPRSW/JSiKEj6PO3Ag7rmQoigiP/lI1PW3BEURhfcvR+3bG3kp64OwquS8hIgzt7Kvnwg/fv1FeZ2Gvbpx+tCBE8m5MdP1LBanV1LUl1T2+lVSZHTm+2fXThzYFxWbXdREg4i8iF9+Uv858sOnuhN+72Lsd3ijo4ZryKdjiPxDo9T0vWM+VBeRHzneuHdgYp2gK7NWWHYYtvdzdeWxM/W1p579SFFE4eNbt3K5BFWH2KEkuDrHuOvcRAFFEfkpUbsjrr0RCu8FW8voTTvHrT4mdZFZe+N5SYKalnFvHfY2bd/Ta9PJO0UNUlZXaayfgbLT9kc1b1Rmrbbv4RtdQhFPN9rKGJv1UDIPuManKIoinm8aJOe2h4T9DCgAACAASURBVNtU6hD6Fq15PUarVREAYBv/umutVYK/u/PkvaqLwxZYSks4IIqlP+FwyvnZZu0lHAgAAPnmdub7blbmUgAAMpYWRs8yMiR5Ewnd4qEf2o1nmqFXfmg4nmn1+UO3/qJbfiQzfohS/kdGe9n2/Gsr7E3dlp26nnR04RBTtw1pH9kPwucEnX1PAvE0KtBn2qIjzwgg80+t8D/xnFORuW2EldvSU8kpZ5YNsxy+NVMAUPkwatF0d4+/jl06n/ik5pt1XuKSQVYeWy4lnlzoPucslwQA4H1JZczco0tne7iOXRmTHBcyxdpmQaLYG6WYWu6TnNlJl64DAEDplYOnGcM8Ro0bZ3XrwMGqW6Q+Jpy7KjVk7BCl6lPUxoVn3wwaKNWgsMpSbkFBQUH+i4zoEykwwMGCA1Bxfd0v4/5Orqx7ZHOGEvUhbtHInzc/UTNUY7yLj8tUdh7roPj5TY7Z6OHGLxOuPKpZO6ks4xYLSEFJQWEpWVw/ZXWSILhx6kKR/eTxhjVrjOzuC2Pv7houV/WDycztM5khs2pWRppOHUJtBv3+t3WW3oSlPlt7ryqdEz/FWPLhSZuPGAsguCDpOAAAgOQW8WQVFaqywpRXkKNKiooBOmI89EWz8Uw7dMoPDcczrT5/gGb9Rbf8tN74IZ6eW/NXniwAwX91I+Ysb2zYaDJ88lZiTkJiQDcOlKctHuC8NOr3bc7dguKSyqYMjL/G7WpUci2xyF8p7v/uWQ2zEx6dEcz1ibsaYMIG4f3ggQ7BpyYdcQegKnvPOxk5vlbIZF548C6pP65d9jdmCR+sGWR9BIB8eXB5/cp+2dJYZQ4dIZks1p2WHDNNk8k/Md4o6FJ2sI25mMHDVtdQLr7zDgCAe/7QecXR0dbSml09BwcG7bvpv64fu/hNfrlG907NGH6CuACLLksAqMpSHmnktcdKiQkgPTT08dAGhzY5lCh+2qox26467D+7wk6ZSeSU8Bkq6mq1bk9ka2urM0r5fAKg6lWmqs0EN8O/+K7zvPvyd7jUS1mE51kfzc/nVjx/nq/ezUCmKurH8WdS3xAAwJAxGDzcqio+q4Adfhdc/YKGJQX91JzUIdR20G1VBED4OCxwT3Hv3uX7AjZnNvNprx8Gm8UkhZ+/riKFBNVOquH3QD9wPDSE41k8WuUHx3OTaNVfdNN644fJYrPZ7HYcGU3LyTsTb/4zWvlh5iONAXaGHAAA6R52/RSzM1g6rk66qVdSi5ISHveeNdkkMzGZm3g5vYerk8KD23cL76x30NHS0tLScdx4t/DhvVwhADC1DA1k69RU+SAzR8Wqrx4LANgGtv10WACV9xtW9lizscqUAYCpadJdmQkAHFUVeaFAIP4xe4JXzOd0kAMg354Ov1BG3gud5esbePm91KPIsMt8YMrIy7H4JSUNH8QRpofNm+Hr6+s7Y15YuhAApJy2Pi0sLCzk8kqeHne4PdNz9Z2vfZCCfHZg2Zb0j+pGBh2ZAMDS7Kwr8z7/Xa0ghHl579rpGeiKmiKJSll2rfdZsrJS5aVlVc+ofMy5EhUZGRmxa8mvfv+kf169YchYB+zwY4X6BSU3vqpUnTqE2hK6TUXK0/+esijXfWf06R2j367xWXWj6S0vfiBs7U6aZW9eF5EAAMTLvHcdtH9SwHhoDMezePTKD47nptCrv+im9cYPS9fljxVBQStXLA+cO3VoTyUWMGRkpMp4/E+PWxM8XhlHBliGro5yKRcjYzOMBo1wtlFNjd13LqWzq4s6U7q9tPKoPY9eV8kvLs1YackGAAaLxap7UcCQkm73kf+pYEpQXkGByMqk2Y1WBgDAZNYU29RT78KchOSCnr0tgHxxLDxBZ+REJ3NTU1PT3qMnOsGZsJPvSLk+1iavkpNe1kwDiJwNTl0mhL9tvFCpTg4eQzSy72SWN36MWAwV950pB10zF/lH5JEAIOc0YSQ79nhc9c5d5amRZ967TBqpJuqqSmTKar0v3ae/2YeEy5kVAACKbitORkdHnwgeplG3LBnrgO1+rNBZ69IbaUV16hBqU+g1FSlOWDp1fanPP2ucldWGrds5ib9l2pKrDfbo+4EpDHIwzzoe8VAAwE+LOvOqr2Nfid6sTbd4aAbHs3i0yw+OZ7Fo1190I8HxwzF3GcyM2Rx6hwck9+a2bRdl7ZwA2N1c7Msj155T6G+r2sWuv+Dw2hh1ZzdtJqeXq6PCxS3rkwpIKMvZ52Gg53WqqJGCLUY4S13YuTerlCzPidoV/YIQXVlPTmOVfVE7BAVZJwJm7CgcNWeCPpEdEXHb3HvZ3BlV/JYEeqjE7ot4Bl28ZjrmbvJbfy1fCADEh5TNczdldLWz0TL33rgrJCQkZNdG77p3gBG8nJj9F153tTCTBih9++TJW3HPXIjCkNPq1HlY0GrbGwH+R16TAIpuq/d4PF7uF3aXB1CWEzXb/5r9zk0/q9dpMJvNZvCLiwmRKat1HFN34p8TK0KmzT6c9WkqW3Q/5lRyAYNVd41Fpm/Adj/20cOpdXcLq5+6L2wbQpLW4g/Cf3WZRH60j5FSv5U1m7LwEheYKRj7nv/67SBaqoHl53106LBDC0Xxbqx10lE3srTUVzMYs/u+oBmn/FDx0Mf3GM908y39Rc/fd3qOZzp8/tCzv6rQIT9VWmH81N81qfr1wuTN4606qSipqBvaeIfcKqEoiqLKr8zS55j8mSKgKP4ZL3WpPsH3q/ZoKrkd6t1fX1VZVVW7x/Al/74mKKo8dqahacDNBmnkpmz2MNdWUdYwHDTSRtdicXrll1UmuDrHuPv8ZAFV79+1GsRhsFgsFpvdTkpOq4fzb+H3PlJUZepfvRRdQmo3tDJzuaWs2eLblRTxLn7VSGPFDqqdjQ005OT1XZZcelMvI5VZKyzbfS63nayKka3P7nQeRVEfT09SU/c6I3L3t0aGUq0dtF4cGKXVyfPIs3/9jBXl5TtIs9tZrbz7aocjh8mRlZdX0PY6Ubtg4f3tw39qL9Vj4Y2PIlNWp5Inpxf9r5e6olrnrl31VTooGjnODE15T1DE04228iMPln4+rjR5kUV76c87aIlKHUItoDWvxxhV9bUgBqPly/xqtAqmxeIpf5eT/Yap1dVQ9VtvRP5vxoNaC936C8ezeBiPeDh+2pjygtycFyVsDaOu2h2+YPWFeLLJJ8QqdJ0N53sG95UqivOePi8QyusY6SnRMT70w2jNzx+cirQqjEc8usWDxKNbf2E84mE84mE8PwQi9+TuTLNp7p0lvwMcQvSFU5EWQ6tgMJ4m0S0eJB7d+gvjEQ/jEQ/jQQihKq35+UOvx9YRQgghhBBCPwiciiCEEEIIIYQkAKciCCGEEEIIIQnAqQhCCCGEEEJIAnALCYQQQpLBYDAkHUIdGA9CCLUynIoghBCSDFrtEEW3HavoFg9C6MfRmt+D4A1aCCGEEEIIIQnAqQhCCCGEEEJIAnAqghBCCCGEEJIAnIoghBBCCCGEJACnIgghhBBCCCEJwB20EEIItWFkwcV1O/iei0frsCQdCsD3jocsOL9y3qGHQgAGg8nkdNA0sR8/bayZUmt8rSi8G+YfKT935Vi9FmxYdYMYDCaTI6NqOGDM1AkDtGquTYjcyIXLrujO2jbLWrrmtIqX8WFbd59OfvSB6NjVYfKf8z17KYgqXvTZX09EDr5XC8iXJ5f8dSxXCMBgsKTkfzIfOc3H1UBGbHiNjD3hg4MLwhjT107sUudlsjAtYvP2yPh7+ZVyna1H+S34dZBmvYtCkpuVWWhkZiDVjNyQBbcid4Yeu5r1qoTR0aDvyBn+voO12UAWnF/5R7SK3wa/PrJVx324EDT/ru22P23Lmsgc+kHgqghCCKG2iiy8vtbTa1nM3SJ6bHv73eMpzb5yMpNtZW9vZzfYtrcuL+Y3+1Gb7gu/T2V1Ea9vRl9s8YZ9bpCd3WAbS0PW7b+H93EPeVDdIGHm/vXHr8eu23qWW32K8GHomP4e+7kWU5dt2BA4RjXR337k3xkVIgoXdfY3EZWD79QCsuTevyeyZQfY29vZDTTTyD/kZTf9WD7ZeGyNjz2yIO3sufQCos6L3Nj59o6Babpeq3bv2eBnlbf1f4N9T72pWz4vwntQwBV+MxJDvjk53WbI0lQVt99Wb92ydEqv1yFjHH//l1uVn6jd832Dr5fWJOz41dzKJjOHfhQ4+0QIIdQmCW5t+XnSjmK9TvL0+J8AWykepnqfcd7TtJkAAMQQVqbF8egnv3czpt5lXo5Ny2d26jPErpsSvLgamSw1ZGxfdSbxIv5wPAweP1iHRb5LOR5HDRrbTx24D65cuvGS0u7jZN9diQVAvk48ckvGUvV56mtN22H9OtV8Dy7Iu/lv3EPCcCCnJgZhsyuzGUhevS0/pBfv6tWcyp/6u9gbN1i+qN0gv4mWntZzlx3/+cg4JQAQJB88xh+6cna2/96jeaN+1WYCkO+iApdkOYfd2jNMCQDA1qaPfIHNxmM355gOrPflvYiz6ynPS429mvW2Uq5zX8dBXRSZ5JtrR2+JiFZUDlqhBSztAROnTVEAAJjSs8Bk0r+3KsYO5XBz058wLC0712lq88Ye+e7GsTNPOg3/2bpwV2BI8dhj8cvcFAHAzMxKh2dtu3D9lKEbBnxqI1mUFhP/5GPetUOn+kxxN1Wo2+d1V8bK4oP/PK0blHLGz5AFANB/gIMpy3ncmSSey1AAYBt1qQydFTwscVV/2WZnDv0wcFUEIYRQm0Sx9CccTjk/26y9pCOpIoF4iFL+R0Z72fb8ayvsTd2WnbqedHThEFO3DWkf2Q/C5wSdfU8C8TQq0GfaoiPPCCDzT63wP/GcU5G5bYSV29JTySlnlg2zHL41UwBQ+TBq0XR3j7+OXTqf+KTmi2le4pJBVh5bLiWeXOg+5yyXBADgfUllzNyjS2d7uI5dGZMcFzLF2mZBYpm4BjG13Cc5s5MuXQcAgNIrB08zhnmMGjfO6taBg9kEAMDHhHNXpYaMHVJ9tcpUGxeefTOo/jxE9Nm1kB/Oz+lj7fNP/J302B1T+/abF8sH4SMR0YrKQTNaUP7tLYDKUm5BQUFB/ouM6BMpMMDBggNQcX3dL+P+rndgc8Ye9SFu0cifNz9RM1RjvIuPy1R2Huug+PlNjtno4cYvE648qklTZRm3WEAKSgoKS8kGfV6nFwU3Tl0osp883rBmgsLuvjD27q7hclU/mMzcPpMZMqtmZaTpzKEfB66KIIQQapOkzUeMBRBckHQcn7VSPMTTc2v+ypMFIPivbsSc5Y0NG02GT95KzElIDOjGgfK0xQOcl0b9vs25W1BcUtmUgfHXuF2NSq4lFvkrxf3fPathdsKjM4K5PnFXA0zYILwfPNAh+NSkI+4AVGXveScjx3esqYrMCw/eJfXHtcv+xizhgzWDrI8AkC8PLq9f2S9bGqvMoSMkk8W605Jjpmky+SfGGwVdyg62MRdz7cFW11AuvvMOAIB7/tB5xdHR1tKaXT0HBwbtu+m/rh+7+E1+uUb3Tk1fvYg6u/aiRmXu03K3TWdXje3EBP7g8Yarrj4GG4D60a7snNIgB+J9akE5gPS3tQAEcQEWXZYAUJWlPNLIa4+VEhNAemjo46H1j2xy7FH8tFVjtl112H92hZ0yk8gp4TNU1NVqrW2wtbXVGaV8PgFQ9SpT1WaCm+FffNd53n35O1zq9XmE/1mf6nMrnj/PV+/26UEWweP4M6lvCABgyBgMHm5VFZ9VwA6/C65+QcOSgn5qTuaaTg76z8BVEYQQQqgNYbLYbDa7HUdG03LyzsSb/4xWfpj5SGOAnSEHAEC6h10/xewMlo6rk27qldSipITHvWdNNslMTOYmXk7v4eqk8OD23cI76x10tLS0tHQcN94tfHgvVwgATC1Dg7r3z1Q+yMxRseqrxwIAtoFtPx0WQOX9hpU91mysMmUAYGqadFdmAgBHVUVeKBCIX1YgeMV8Tgc5APLt6fALZeS90Fm+voGX30s9igy7zAemjLwci19SUn+NA0CYHjZvhq+vr++MeWHpQtFn1ybVx2fxsI+HA/wmj3ayX3C+uFJYCSKiFYjIgXifWsD5xhYAgJTT1qeFhYWFXF7J0+MOt2d6rr7zlU9SkM8OLNuS/lHdyKAjEwBYmp11Zd7nv6sVgzAv7107PQNdUTMkUX1e+32WrKxUeWlZ1TMqH3OuREVGRkbsWvKr3z/plZ8OYchYB+zwY4X6BSU3vixWnTn0Q8GpCEIIIdR2sHRd/lgRFLRyxfLAuVOH9lRiAUNGRqqMx//0tDLB45VxZIBl6Oool3IxMjbDaNAIZxvV1Nh951I6u7qoM6XbSyuP2vPodZX84tKMlZZsAGCwWKy6FwUMKel2H/mfCqYE5RUUiKxMmt1oZQAATGZNsU099S7MSUgu6NnbAsgXx8ITdEZOdDI3NTU17T16ohOcCTv5jpTrY23yKjnpZc1VNJGzwanLhPC3tYtp7OxaR7yJmNTP82CBVl/32X9Hrvmf8ucY60UrKgfNaoHUl7eg8UmaVCcHjyEa2Xcyv/LmJYaK+86Ug66Zi/wj8kgAkHOaMJIdezyu+PMB5amRZ967TBqpJuqyUOQAq0W6T3+zDwmXMysAABTdVpyMjo4+ETxMo25ZMtYB2/1YobPWpTfSiOrMfV0bUVuFUxGEEEKoLeOYuwxmxmwOvcMDkntz27aLsnZOAOxuLvblkWvPKfS3Ve1i119weG2MurObNpPTy9VR4eKW9UkFJJTl7PMw0PM6VdRIwRYjnKUu7NybVUqW50Ttin5BiK6sJ6exyr6oHYKCrBMBM3YUjpozQZ/Ijoi4be69bO6MKn5LAj1UYvdFPIMuXjMdczf5rb+WLwQA4kPK5rmbMrra2WiZe2/cFRISErJro3ev3EbOrrn8Fz69nVFu7vnH7Ikj+0glHLtSUCEUueIgKgfNagF8eQssa1pQ9x42gpcTs//C664WZtIApW+fPHnbeAwiMeS0OnUeFrTa9kaA/5HXJICi2+o9Ho+X+4Xd5QGU5UTN9r9mv3PTz+p1eozNZjP4xcWE6AFWg6k78c+JFSHTZh/OKiIBAIii+zGnkgsYrLprLDJ9A7b7sY8eTm243VntzNFjV27UanAqghBCCLVpHYasDp+veGhEZ2V1k/Hn9JZHrXYAAI6Fqx0rX6bfIB0Wx8KuH5PXyclNlwUgbbsiMsjw0qTuamp69hsFk8PWjFRspGBZuxUH/WX/cdFT0x+6r0JPgyW6MtnGK2uGivi5uhx2u3YcBQPnZXetNp4NGa1Opocfedj3l1r/QQan90QPo9QD+zNJ7QmhkbOk9w4z1DLoYviTvvMO0js8dIpuresZYeNnV083OFbeC4a+XGKma9RtgN+1bk6m3KdPm52D796CKoJz05TZ7HbtOO01BwQ86Lv+n3m92FD+fwv69V/YrMzWw9QYvSaoT+KC+cefX55lYuy+5eadIzOmbsnK2+/ntTftzt4JJjqTT9ZesZC2crR9tqSbWcB9kQOsFkXnDef3Dn+3zlFf08DEpLNGpwEBdy3XHA12qLfCIdM3YPtcU6nqbb5EZQ4vTH80DIpq4T3CGYyWL/Or0SoYjKdJdIsHiUe3/sJ4xMN4xMN42pjygtycFyVsDaOu2h3a5tXrV7aAeLLJJ2TuvnXfM7SvVVGc9/R5gVBex0hPCR/5aMta8/MHpyKtCuMRj27xIPHo1l8Yj3gYj3gYD2oTiNyTuzPNZrh3bsaxCH0lnIq0GFoFg/E0iW7xIPHo1l8Yj3gYj3gYD0IIVWnNz5+2uaiJEEIIIYQQauNwKoIQQgghhBCSAJyKIIQQQgghhCTguzwr0rIFIoQQQgghhFpNqz0rwm7GMV+MPk/a0e2xP4xHPLrFg8SjW39hPOJhPOJhPAghVKU11xXwBi2EEEIIIYSQBOBUBCGEEEIIISQBOBVBCCGEEEIISQBORRBCCCGEEEISgFMRhBBCCCGEkAR8lx20EEIIoe+OLEyL2L4//gVT39lnztiecpKOBwAAyIKL63bwPReP1mF9j8LPr5x36KEQgMFgMjkdNE3sx08ba6bUGl8rCu+G+UfKz105Vq8FG1bdIAaDyeTIqBoOGDN1wgCtmmsTIjdy4bIrurO2zbKWrjmt4mV82Nbdp5MffSA6dnWY/Od8z14KoooXfXbjwdTpOlHDS9yQEz44uCCMMX3txC61E0QWpkVs3h4Zfy+/Uq6z9Si/Bb8O0qx/6UVyszILjcwMpJqVsVuRO0OPXc16VcLoaNB35Ax/38HabCALzq/8I1rFb4NfH9mq4z5cCJp/13bbn7ZlTaQYIcnCVRGEEEJtkTBr02j3Tc/1bforpS1y8/znCSHpiADIwutrPb2Wxdwt+k7b8JZmXzmZybayt7ezG2zbW5cX85v9qE33hd+nsrqI1zejL7Z4wz43yM5usI2lIev238P7uIc8qG6QMHP/+uPXY9dtPcutPkX4MHRMf4/9XIupyzZsCByjmuhvP/LvjAoRhYs6uzH1u07U8BI/5MiCtLPn0gvqvMaNnW/vGJim67Vq954NflZ5W/832PfUG7Ju1bwI70EBV/jNyBb55uR0myFLU1Xcflu9dcvSKb1eh4xx/P1fblUio3bP9w2+XlqT2eNXcyubTDFCkka1tO9R5lejVTAYT5PoFg8Sj279hfGI91+LpzxullHXuQnlFEVRvJipOmaBtyolGQ9FladuHmFiNMjVStVyacY3xdJoPMTTjbYd7La+Ij79LMxe00+27+psIUVV5mecj9i7L+ryvQ9CihI+jz8UlfyWoChK+DzuwIG450KKooj85CNR198SFEUU3r8ctW9v5KWsD8KqkvMSIs7cyr5+Ivz49RfldZr16sbpQwdOJOfGTNezWJxeSVFfUtnrV0mR0Znvn107cWBfVGx2URMNIvIifvlJ/efID5/qTvi9i7Hf4Y2OGq4hn44h8g+NUtP3jvlQXUR+5Hjj3oGJ5VR9Is6miMLHt27lcol6RzboOhHDq6khJ7g6x7jr3EQBRRH5KVG7I669EdwLtpbRm3aOW31I6iKz9sbzkgS1MsC9ddjbtH1Pr00n7xQ1SG1dpbF+BspO2x/VvFGZtdq+h290CUU83WgrY2zWQ8k84BqfoiiKeL5pkJzbHm5TKUZIlNb8e4GrIgghhNoe8s3tzPfdrMylAABkLC2MnmVk8CQbEsXSn3A45fxss/atViVRyv/IaC/bnn9thb2p27JT15OOLhxi6rYh7SP7QficoLPvSSCeRgX6TFt05BkBZP6pFf4nnnMqMreNsHJbeio55cyyYZbDt2YKACofRi2a7u7x17FL5xOf1HxjzktcMsjKY8ulxJML3eec5ZIAALwvqYyZe3TpbA/XsStjkuNCpljbLEgsE9cgppb7JGd20qXrAABQeuXgacYwj1HjxlndOnAwmwAA+Jhw7qrUkLFDlKpPURsXnn0zaGCDu5tEnQ0V19f9Mu7v5Mq6hzboOlHDq5lDjvoQt2jkz5ufqBmqfIiPy1R2Huug+Pk9jtno4cYvE648qrV0UlnGLRaQgpKCwlKyQWrrJEtw49SFIvvJ4w1rbgBjd18Ye3fX8KobxdgmM7fPZIbMqlkZEZvicjEHIdR68GZBhBBCbQ/JLeLJKipU/RFjyivIUSVFxQAdJRiStPmIsQCCC9+5GuLpuTV/5ckCEPxXN2LO8saGjSbDJ28l5iQkBnTjQHna4gHOS6N+3+bcLSguqWzKwPhr3K5GJdcSi/yV4v7vntUwO+HRGcFcn7irASZsEN4PHugQfGrSEXcAqrL3vJOR42ulkMwLD94l9ce1y/7GLOGDNYOsjwCQLw8ur1/ZL1saq8yhIySTxbrTkmOmaTL5J8YbBV3KDrYxF3PtwVbXUC6+8w4AgHv+0HnF0dHW0ppdPQcHBu276b+uH7v4TX65RvdOTV+9iDqbA9JDQx8PbXBsg64TNbyaM+QoftqqMduuOuw/u8JOmcop4TNU1NVqPTrC1tZWZ5Ty+QTAp1eZqjYT3Az/4rvO8+7L3+FSL7UR/md9qk+ueP48X72bgQwAAAgex59JfUMAAEPGYPBwq6p2WAXs8Lvg6hc0LCnop6ZSXA7QjAdoEPrecFUEIYRQG8RmMUnh56/vSSFBtZNqzlO//wFMFpvNZrfjyGhaTt6ZePOf0coPMx9pDLAz5AAASPew66eYncHScXXSTb2SWpSU8Lj3rMkmmYnJ3MTL6T1cnRQe3L5beGe9g46WlpaWjuPGu4UP7+UKAYCpZWggW6emygeZOSpWffVYAMA2sO2nwwKovN+wsseajVWmDABMTZPuykwA4KiqyAsFArKRdlUheMV8Tgc5APLt6fALZeS90Fm+voGX30s9igy7zAemjLwci19S0vDBIGF62LwZvr6+vjPmhaULRZ/dfCKGVzOGHPnswLIt6R/VjQw6MgFYmp11Zd7nv6sVqzAv7107PQNdkTMpUamt/T5LVlaqvLSs6lmWjzlXoiIjIyN2LfnV75/0z6s8DBnrgB1+rFC/oOTGV58+pZjzBelA6PvBqQhCCKG2h63dSbPszesiEgCAeJn3roP2TyI3UfrPYem6/LEiKGjliuWBc6cO7anEAoaMjFQZj//pgXKCxyvjyADL0NVRLuViZGyG0aARzjaqqbH7zqV0dnVRZ0q3l1YetefR6yr5xaUZKy3ZAMBgsVh1LwoYUtLtPvI/FUwJyisoEFmZNLvRygAAmMyaYpt66l2Yk5Bc0LO3BZAvjoUn6Iyc6GRuampq2nv0RCc4E3byHSnXx9rkVXLSy5rreyJng1OXCeFvaxfT2NnNTbKo4dWMIcdQcd+ZctA1c5F/RB4JIOc0YSQ79nhc8ef3y1Mjz7x3mTRSTeTFl8h+rEW6T3+zDwmXMysAABTdVpyMjo4+ETxMo25hK1CSsQAAIABJREFUMtYB2/1YobPWpTdyB9bnFP8gM3dEezgVQQgh1AYpDHIwzzoe8VAAwE+LOvOqr2PfH/V2E465y2BmzObQOzwguTe3bbsoa+cEwO7mYl8eufacQn9b1S52/QWH18aoO7tpMzm9XB0VLm5Zn1RAQlnOPg8DPa9TRY0UbDHCWerCzr1ZpWR5TtSu6BeE6Mp6chqr7IvaISjIOhEwY0fhqDkT9InsiIjb5t7L5s6o4rck0EMldl/EM+jiNdMxd5Pf+mv5QgAgPqRsnrspo6udjZa598ZdISEhIbs2evfKbeRsAkrfPnnyVtyzFFVEDK9mDDmGnFanzsOCVtveCPA/8poERbfVezweL/cLu8sDKMuJmu1/zX7npp/V6+aFzWYz+MXFhOh+rMHUnfjnxIqQabMPZ32aDxXdjzmVXMBg1V1kkekbsN2PffRwasNdxWqn+DtsNo3Q12jxB+FptUkLrYLBeJpEt3iQeHTrL4xHvP9ePLwba5101I0sLfXVDMbsvi9oxinfNZ4q5ed9dFptB63q1wuTN4+36qSipKJuaOMdcqukKpQrs/Q5Jn+mCCiKf8ZLXapP8P2qvZdKbod699dXVVZV1e4xfMm/rwmKKo+daWgacLNB2NyUzR7m2irKGoaDRtroWixOr/yyygRX5xh3n58soOr9u1aDOAwWi8Vis9tJyWn1cP4t/N5HiqpM/auXoktI7YZWZi63lDVbfLuSIt7FrxpprNhBtbOxgYacvL7Lkktv6mREzNm805PU1L3OfBSV8rpdJ2p4iR1ytXbQenFglFYnz/AoP2NFefkO0ux2VivvvtrhyGFyZOXlFbS9TtSpX3h/+/Cf2kv1WHhDdGrrVPLk9KL/9VJXVOvctau+SgdFI8eZoSnvCYp4utFWfuTB0s/HlSYvsmgv/XkHLVEpRkiM1vx7waiqrwUxGC1f5lejVTAYT5PoFg8Sj279hfGI99+Mp/xdTvYbplZXQ9Vvvd3kv5mf/7DygtycFyVsDaOu2h2+YPWFeLLJJ8QqdJ1Ncx6VEDW8Wm7Ifb2K4rynzwuE8jpGekr4yAf6Dlrz8wenIq0K4xGPbvEg8ejWXxiPeBiPeBjPD4HIPbk702yae2fcQBShxuFUpMXQKhiMp0l0iweJR7f+wnjEw3jEw3gQQqhKa37+4GPrCCGEEEIIIQnAqQhCCCGEEEJIAnAqghBCCCGEEJIAnIoghBBCCCGEJAC3kEAIISQZDAZD0iHUgfEghFArw6kIQgghyaDVDlF027GKbvEghH4crfk9CN6ghRBCCCGEEJIAnIoghBBCCCGEJACnIgghhBBCCCEJwKkIQgghhBBCSAJwKoIQQgghhBCSAFpNRYqTNk33+Tue+/ln8uXpJT6LT70gJBsWAJAFF9csO0GDQADIwrTwFbN9fH4LPnaXJ+lgaBgPjdB3PNMDffODv++iYH81J5Tv3l9kwfnlEz08PDw8PD3HT5j86/y1R+4Ukt+lqgaEd8N+++vYs5ZNdHWDPD3HT5g8bW7Q/muvhbUPIHIj50+ctv1GeZ3TKl7G75rv6Tywt1U/pwmLIjKLG5T78uSiz4maMMV34dYLuWXNCKbOUBLVneK6WPjgoP8fh7LrJYgsTAtfMmWobR+rfg4//77j6hshNEBys+7kCpqM71OQtw4vn/Y/+35WVv2H/DJve3yeED4l0st3x83S6uM+XFgxdV18adMpRkiyaDUVUejjaJy71ueP0+9IAKi4v917VrSig50OS7JhkYXX13p6LYu5WyT5bRWFWZtGu296rm/TXyltkZvnP08k/NeXbvHQCk3HM23QND/4+94I7K8mtUp/lWZfOZnJtrK3t7MbbNtblxfzm/2oTfdb5cqSeH0z+mKLJ/pzg+zsBttYGrJu/z28j3vIg+oGCTP3rz9+PXbd1rPVs2AQPgwd099jP9di6rINGwLHqCb624/8O6OiTrFkyb1/T2TLDrC3t7MbaKaRf8jLbvqxfHGTtvpDSVR3iu9isiDt7Ln0gjqvcWPn2zsGpul6rdq9Z4OfVd7W/w32PfWmXhy8CO9BAVf4zcgW+ebkdJshS1NV3H5bvXXL0im9XoeMcfz9X25VIqN2z/cNvv55MlKafeX41dzKJlOMkKRRLe3byqzM3uGi1mlc5KuS64t7aw0MuvVRgsFQFEWVp24eYWI0yNVK1XJpRuU3FvbN8ZTHzTLqOjehnKIoihczVccs8NY3xfRfi4d2Wng808039xf+vouPhm6/X9hf4qNpjf4inm607WC39RXx6Wdh9pp+sn1XZwspqjI/43zE3n1Rl+99EFKU8Hn8oajktwRFUcLncQcOxD0XUhRF5Ccfibr+lqAoovD+5ah9eyMvZX0QVpWclxBx5lb29RPhx6+/KK/TsFc3Th86cCI5N2a6nsXi9EqK+pLKXr9KiozOfP/s2okD+6Jis4uaaBCRF/HLT+o/R374VHfC712M/Q5vdNRwDfl0DJF/aJSavnfMh+oi8iPHG/cOTKwTdGXWCssOw/Z+rq48dqa+9tSzHymKKHx861Yul6DqaDiURHRnU10suDrHuOvcRAFFEfkpUbsjrr0R3Au2ltGbdo5bfUjqIrP2xvOSBLUywL112Nu0fU+vTSfvFDVIbV2lsX4Gyk7bH9W8UZm12r6Hb3QJRTzdaCtjbNZDyTzgGp+iKIp4vmmQnNseblMpRkiU1rweo9WqCACwjX/dtdYqwd/defJe1cVhCyylJRwQxdKfcDjl/Gyz9hIOBACAfHM78303K3MpAAAZSwujZxkZkrxpg27x0A/txjPN0C4/+PsuFvaXOJLpL6KU/5HRXrY9/9oKe1O3ZaeuJx1dOMTUbUPaR/aD8DlBZ9+TQDyNCvSZtujIMwLI/FMr/E8851Rkbhth5bb0VHLKmWXDLIdvzRQAVD6MWjTd3eOvY5fOJz6p+cacl7hkkJXHlkuJJxe6zznLJQEAeF9SGTP36NLZHq5jV8Ykx4VMsbZZkCj2RimmlvskZ3bSpesAAFB65eBpxjCPUePGWd06cLDq1qePCeeuSg0ZO0Sp+hS1ceHZN4MGSjUorLKUW1BQUJD/IiP6RAoMcLDgAFRcX/fLuL+TK+se2WAoierOZnYx9SFu0cifNz9RM1T5EB+Xqew81kHx83scs9HDjV8mXHlUa+mksoxbLCAFJQWFpWSD1NZJluDGqQtF9pPHG9asRbK7L4y9u2u4XNUPJjO3z2SGzKpZGRGb4nIxByHUeuj3v62z9CYs9dnae1XpnPgpxpIPT9p8xFgAwQVJxwEAACS3iCerqFCVFaa8ghxVUlQM0BHjoS+ajWfaoVl+8Pe9CdhfjWu9/iKenlvzV54sAMF/dSPmLG9s2GgyfPJWYk5CYkA3DpSnLR7gvDTq923O3YLiksqmDIy/xu1qVHItschfKe7/7lkNsxMenRHM9Ym7GmDCBuH94IEOwacmHXEHoCp7zzsZOb5WyGReePAuqT+uXfY3ZgkfrBlkfQSAfHlwef3KftnSWGUOHSGZLNadlhwzTZPJPzHeKOhSdrCNuZjBw1bXUC6+8w4AgHv+0HnF0dHW0ppdPQcHBu276b+uH7v4TX65RvdOzRh+grgAiy5LAKjKUh5p5LXHSokJID009PHQBoc2GEqiurM5XUzx01aN2XbVYf/ZFXbKVE4Jn6GirlbrLka2trY6o5TPJwA+vcpUtZngZvgX33Wed1/+Dpd6qY3wP+tTfXLF8+f56t0MZKpa9zj+TOobAgAYMgaDh1tVtcMqYIffBVe/oGFJQT81leJyAEl/m4AQ3Z4VAQAA4eOwwD3FvXuX7wvYnNnMp7h+GGwWkxR+/rqKFBJUO6mG3wP9wPHQEI5n8TA/YtDw9wv7S4zW6y8mi81ms9txZDQtJ+9MvPnPaOWHmY80BtgZcgAApHvY9VPMzmDpuDrppl5JLUpKeNx71mSTzMRkbuLl9B6uTgoPbt8tvLPeQUdLS0tLx3Hj3cKH93KFAMDUMjSQrVNT5YPMHBWrvnosAGAb2PbTYQFU3m9Y2WPNxipTBgCmpkl3ZSYAcFRV5IUCgfjH7AleMZ/TQQ6AfHs6/EIZeS90lq9v4OX3Uo8iwy7zgSkjL8fil5Q0fBBHmB42b4avr6/vjHlh6UIAkHLa+rSwsLCQyyt5etzh9kzP1Xea/4CEiO5sRheTzw4s25L+Ud3IoCMTgKXZWVfmff67WrEK8/LetdMz0BU5kxKV2trvs2RlpcpLy6qeZfmYcyUqMjIyYteSX/3+Sf+8ysOQsQ7Y4ccK9QtKbnz16VOKOc1OBkLfE92mIuXpf09ZlOu+M/r0jtFv1/isutH0lhc/ELZ2J82yN6+LSAAA4mXeuw7aPylgPDSG41k8zI849Pv9wv4Sp/X6i6Xr8seKoKCVK5YHzp06tKcSCxgyMlJlPP6nB8oJHq+MIwMsQ1dHuZSLkbEZRoNGONuopsbuO5fS2dVFnSndXlp51J5Hr6vkF5dmrLRkAwCDxWLVvShgSEm3+8j/VDAlKK+gQGRl0uxGKwMAYDJrim3qqXdhTkJyQc/eFkC+OBaeoDNyopO5qampae/RE53gTNjJd6RcH2uTV8lJL2uu74mcDU5dJoS/bbxQqU4OHkM0su9kNvueJFHd2YwuZqi470w56Jq5yD8ijwSQc5owkh17PK56g6/y1Mgz710mjVQTefElsh9rke7T3+xDwuXMCgAARbcVJ6Ojo08ED9OoW5iMdcB2P1borHXpjbT2c4ol/c0GQlXoNRUpTlg6dX2pzz9rnJXVhq3bOYm/ZdqSqw326PuBKQxyMM86HvFQAMBPizrzqq9jX4kur9ItHprB8Swe5qcJNPv9wv5qggT7i2PuMpgZszn0Dg9I7s1t2y7K2jkBsLu52JdHrj2n0N9WtYtdf8HhtTHqzm7aTE4vV0eFi1vWJxWQUJazz8NAz+tUUSMFW4xwlrqwc29WKVmeE7Ur+gUhurKenMYq+6J2CAqyTgTM2FE4as4EfSI7IuK2ufeyuTOq+C0J9FCJ3RfxDLp4zXTM3eS3/lq+EACIDymb527K6Gpno2XuvXFXSEhIyK6N3nXvACN4OTH7L7zuamEmDVD69smTt+Kepagiojub0cUMOa1OnYcFrba9EeB/5DUJim6r93g8Xu4XdpcHUJYTNdv/mv3OTT+r180Lm81m8IuLCdH9WIOpO/HPiRUh02Yfzvo0Hyq6H3MquYDBqrvIItM3YLsf++jh1Lq7itVPMe7miGiixR+E/+oyifxoHyOlfitrNmXhJS4wUzD2Pf/12zy0VAPLz/vo0GGHFori3VjrpKNuZGmpr2YwZvd9QTNO+aHioY/vMZ7p5lv6C3/fm4M+v1/YX83RCv1Vfzek6tcLkzePt+qkoqSibmjjHXKrhKIoiiq/MkufY/JnioCi+Ge81KX6BN+v2nup5Haod399VWVVVe0ew5f8+5qgqPLYmYamATcbpJGbstnDXFtFWcNw0EgbXYvF6ZVfVpng6hzj7vOTBVS9f9dqEIfBYrFYbHY7KTmtHs6/hd/7SFGVqX/1UnQJqd3QyszllrJmi29XUsS7+FUjjRU7qHY2NtCQk9d3WXLpTb2MVGatsGz3udx2sipGtj6703kURX08PUlN3euMyN3f6g4lUd0ptotr7aD14sAorU6e4VF+xory8h2k2e2sVt59tcORw+TIyssraHudqFO/8P724T+1l+qx8Ibo1Nap5MnpRf/rpa6o1rlrV32VDopGjjNDU94TFPF0o638yIOln48rTV5k0V768w5aolKMkBiteT3GqKqvBTEYLV/mV6NVMC0WT/m7nOw3TK2uhqrfurz634wHtRa69dd/M57/7u/XfzOe/25/0U55QW7OixK2hlFX7Q5fsPpCPNnkE2IVus6mOY9KiOrOluvir1dRnPf0eYFQXsdITwkf+UDfQWt+/uBUpFVhPOLRLR4kHt36C+MRD+MRD+P5IRC5J3dnmk1z7yz5HeAQoi+cirQYWgWD8TSJbvEg8ejWXxiPeBiPeBgPQghVac3PH3o9to4QQgghhBD6QeBUBCGEEEIIISQBOBVBCCGEEEIISQA+t4UQQkgyGAyGpEOoA+NBCKFWhlMRhBBCkkGrx7Lp9pg43eJBCP04WvN7ELxBCyGEEEIIISQBOBVBCCGEEEIISQBORRBCCCGEEEISgFMRhBBCCCGEkATgVAQhhBBCCCEkAbiDFkIIoTaMLLi4bgffc/FoHZakQwH43vGQBedXzjv0UAjAYDCZnA6aJvbjp401U2qNrxWFd8P8I+Xnrhyr14INq24Qg8FkcmRUDQeMmTphgFbNtQmRG7lw2RXdWdtmWUvXnFbxMj5s6+7TyY8+EB27Okz+c75nLwVRxYs+++uJyMH3agH58uSSv47lCgEYDJaU/E/mI6f5uBrIiA2v3tgjC9Mitu+Pf8HUd/aZM7anXGOvVbfuwcEFYYzpayd2qdPDZGFaxObtkfH38ivlOluP8lvw6yDN+hePJDcrs9DIzECq6RySBbcid4Yeu5r1qoTR0aDvyBn+voO12UAWnF/5R7SK3wa/PrJVx324EDT/ru22P23LmsgwauNwVQQhhFBbRRZeX+vptSzmbhE9tr397vGUZl85mcm2sre3sxts21uXF/Ob/ahN94Xfp7K6iNc3oy+2eMM+N8jObrCNpSHr9t/D+7iHPKhukDBz//rj12PXbT3LrT5F+DB0TH+P/VyLqcs2bAgco5robz/y74wKEYWLOvubiMrBd2oBWXLv3xPZsgPs7e3sBppp5B/yspt+LJ9sPLb6Y0+YtWm0+6bn+jb9ldIWuXn+84QQ/VqtEgrSzp5LL6jzGnBj59s7Bqbpeq3avWeDn1Xe1v8N9v1/9u48IKa1jwP4b5ZmUlGinRayxCWthGRCi/WG7lWyFtfaRfdeu0L2PVuWrKks2bJ7SxvZKWuRLaKiVFPNNHPOef9or9MULTPd+/v8g3HO83yfZabzzFk687lSjtwgd5uFEfyaO5D8fHqq9SDve60H/7nGb5v3pO6p/qMHzrmSVdSPIXv/nrbqVl5Zx56KShbV2MOoyaPqW0OU+dNkKgzmqZGs5UGSydp4YR7J/n15BPe2DjfqYONormbmHS/6T+Qh3m7up8Tz+0gU/1ucuNZKsdeaRDFFidLiLwUdOBhy/dk3MUWJ30ceDYn7QlAUJX5/4/DhG+/FFEURaXHHQ259ISiKyHx+PeTggeBrT7+Ji0r+FB107n7irdDAU7c+CCo06+Ods0cPh8Ylh03VN136SERRP1JZ6sfY4PMJX9/dDD18MCQ88XsNDSI+Bf3eRuO34G/FdUfP6dRx5rHNAzUd/Yu3IdKOjlQ3cA/7VlpEWvDYjhaLYwRUZTR7V1Lw8e6FYwf2HzoZ8TKLoCiKSKVPS9cHDdwC0dMVZkpDD5REEITPMNCZfKGAoojM1/fvJ1duapW5J7gxq0PnudECiqKo3LDJuj0W3xfRvFa+EGGUZ8fOc2OEFEWk3Q7ZG3Tzs1j8bFVPBf0pF7NKt7m3pEezjvNiheV6IOv+MXfjZt0mbDn9+HuVyVFBXvjM9q3sdrwqe130dI3tL9PO51DE2839FDr2+EXVZOFNPkVRFPF+i03zwfuzauph1CAa8+cFnhVBCCHUJFEsA7djty/N7tFM2kmKSCEPkccvYDRTbMa/ucLWeLDPmVuxJxYMMh686UEB+0Wgp++FryQQb0MWe0xZcvwdAWTamRVeoe85hQnbh5sP9j4Td/ucz1CzYX4JQgDRy5AlU51cFp28dinmTdkXzrkxy2zMXbZdizm9wMnzQhYJAJD7I5Uxk094z3ZxdF4ZFnfDf1JP6/kx+ZIaxNR2Gm/Pjr12CwAA8iKOnGUMdRk5Zoz5/cNHEgkAgILoi1HcQc6DVEt3UR8TmHjXt2+Va4Po9i6H/HbJ07Knx77Ix4/Cd07uZTUvnA/iVzRp6fqgFi0Q1L0FIMrLysjIyEj7EH8+9Db0GWDKASi8tf73MRsqbVhl7pGfHyZ87WJuwgUAUDAz7fAuPj6b5jWaFlDfbiwZ8dvWN+qG6oz0yBsJreydB6iU/Cenx6hhHVOiI16V605Rfla2kBTmZGTmkdmVJ0f54RbeOXP5u+3EsYZlF4Cxuy4If7J7WNGFYmyjGTtmMP1nlZ0ZqbmHUdOH19ohhBBqkuRNhjsDCC9LO0eJRspDvL24dtEnRQCC//FO2IVc54BRZOBEP8IzOmZhFw4IHiztY+8dMme7fRffG7H5k/pG3szq3CHnZsx3L9Ub/3tmPpQnPjF9VZbHjaiFRmwQP1/Vd8CqM+OPOwFQIot5p4PHtiyrivwUuGo396+b1706ssQv1tr0PA5AphxZXrmy37dVV9mAlhBHZutNiQubosXkh47t4HstcZW1iYRjD7aGZqvsx+kAAFmXjl5SGXW+p7xWZ9f+i30P3vVab8XO/pwm0OzatuajF7q9OeX+X5T8VjB4y4XVzm2ZwO8/1nB11GuwBqicdmW721X6QLLiFggA5OvWAhDeWGjaaRkAJcrLJTtM2G+uygSQH7Ln9ZDKW1aZe2TW91xFFeWiSpgtlJtTOd+zvlV9rXJBFP/B6tHbowYcurCC14pJJOXwGa011MvdO8LW0dFg5PH5BEDxq0w1a7fBhov4jvPce/F3OlSaHEGuFzy0ivctfP8+TaNL8Q0vwteR5+59JgCAodC+/zDzonaYL9w587LjTN+hsb5tatPDNXciknl4VgQhhBBqQpgsNpvNluMoaJlN3BVzd9+oVi8TXmn24RlyAADkf+FZqSTGs3Qd7fTuRdz7Hhv92mLWRKOEmLismOuPfnG0U37x8Enm440DdLW1tbV1B25+kvnyWbIYAJjahu0VK9QkepGQ1Nq8lz4LANjt+1npsgBEz6tW9lqruspaAQBTy6hrKyYAcNRatxALhZJPKxC52XyOUnMA8svZwMv55LM9s6ZNW3z9K/dVcMB1PjAVWjRn8XNyKp/jABA/Cpg3fdq0adOmzwt4JKbfuzyupcfSoQXHFs6cOMrOdv6lbJFYBDRphTR9IFlxCzh1bAEAcO383mZmZmZm5ea8PTXg4QzXNY9rfYcEm8UkxSVbk2KCkuNyaV6rtBf57rDPtkcFGh3at2QCAEurnZ7C17T0clnFnz6ly+m316NdSdFNjsSy/2YpKnIFeflF97IUJEWEBAcHB+1e9sfMfY9ExZswFHou3DmTtWemb1z1p89Kexj9K+BSBCGEEGo6WHoOf63w9V25YvniuZOHdFNlAUNBgZufyy++mZrIzc3nKADL0HFg89tXg8PjO9gMt7dWuxd+8OLtdo4OGkz5ZvKtRu5/lVokLTsvfqUZGwAYLBar4kEBgysvV8AvLpgSCgopoK1Mnl1tZQAATGZZsTXd9S5Oio7L6GZhCuSHk4HRuiPG2ZkYGxsbW4waZwfnAk6nk80texp9jItNKTs6JpI22XVyC/xSvpjq9i63xeeg8VauRzK0eznN3hC89tdWJRkrpaXrg1q1gPvjLah+kcZtO8BlkGbi44TaXpTE1mmrlf859TsJAECkfEpX0mnTqm3V1yrtxmjttOv2EceEJV5Bn0gAaG7nNoIdfupGdskGgnvB5746jB+hTnv4SDs5yv5b3rJ3j2/R1xMKAQBUBq84ff78+dBVQzUrlqXQc+GOmaw9s9Y/qqaxpT1cy75AMg6XIgghhFBTxjFx6M8M27rncS6QWXe3b7+qyLMDYHdxsBUEr7uo3LufWideb+GxdWEa9oN1mJzujgOVr27bGJtBQn7SQZf2+hPOVLlOp7hg0+H23Mu7DjzNIwVJIbvPfyDoK+vGqa6yH2qHMONp6MLpOzNHeroZEIlBQQ9N3H3mTi8yc9lil9bhB4PeQacJMwYmb5m58WaaGACIb7e3zt0S35lnrW3ivnm3v7+//+7N7t2Tq9m77PBf/PZhvMDE9a/Z40ZYcqNPRmQUimnPOND1Qa1aAD/eArOyFlS8ho3ITQo7dDm1s2kPeYC8L2/efKk+QzFlmwEmT08FvRQC8B+EnPvYa2AveZrXKu3FaK7dtt1Q3zX97iz0Op5KAqgMXrPf5fXymQFPcgHyk0Jme9203bXlN42KI8tmsxn87GyCdnKUbcbUG/fPuEL/KbOPPS1eD31/HnYmLoPBqniORaHXwh0z2SeO3av6WLTyPSwbT+9GdVfvN8LL1ENaZCoM5qmRrOVBksnaeGEeyf6teQSXPHRl4wlajZCn8sOESl/PjNs61rxta9XWGobW7v73c4qiRMwy4Bj9c1tIUfxzEzS4lqueFz26KOfhHvfeBmqt1NR0fhm27EoqQVGC8BmGxgvvVomddXuri4lO61aahjYjrPVMlz4S/VhlwijPjl3/jhNSlf5erkEcBovFYrHZctzm2r/Y/xn4rICiRPcWdVdxqPDcK1HCcjPFHksfiigiPXL1iI4qSmrtOrbXbN7CwGHZtc8VekTi3iWEzw+MN9FRb2No1MPW3dvDQmP0sWrS0vRBQ7eg6AlaciXlyim27tDPY++jXIqiCs6OV9eYQDdlKs293Dvr7HQ1OpiZGai3H733ubC618p6pOwJWh8Oj9Ru63r83ZWZHVVatFCSZ8uZr3zycedADpOj2KKFss6E0ILye4qf7xjWphn3lwV3CmgnR/lK3pxd8mt3DRX1dp07G7RWUukwcMae218Jini7uV+LEUfySrbLi1ti2ky+5AladD2MGlJj/rxgFNVXjxiM+i/zp8lUGMxTI1nLgySTtfHCPJJhHskwTxMjyEhO+pDD1uzQWUepaV7h8ZMtIN5s8fCfe3B9rapIT0r8zNTubKjGlfhaYyvM/vT2fYa4hW4HfVW85UMWNebnDy5FGhXmkUzW8iDJZG28MI9kmEcyzIOaBCL59N6EHtOd2kk7CPo3w6W7+mpIAAAgAElEQVRIvZGpMJinRrKWB0kma+OFeSTDPJJhHoQQKtKYnz9N86QmQgghhBBCqInDpQhCCCGEEEJICnApghBCCCGEEJKCBrlXpH4LRAghhBBCCDWaRrtXhF2LbX6Y7NxpJ2u3/WEeyWQtD5JM1sYL80iGeSTDPAghVKQxzyvgBVoIIYQQQgghKcClCEIIIYQQQkgKcCmCEEIIIYQQkgJciiCEEEIIIYSkAJciCCGEEEIIISlokCdoIYQQQg2OzHwQtONQ5Aemgb2Hp3O35tLOAwAAZMbV9Tv5rktH6bIaovBLK+cdfSkGYDCYTI6SlpHt2CnOPVQb42tF8ZMAr+AWc1c669djw0obxGAwmRwFNcM+oye79dEuOzYhkoMX+ETozdo+q6d82W6FKZEBfnvPxr36RrTsPGDiP3+7dlemK55+7yr4EWs9o7qu8R6mUdSR5Ofzyxc9t/Fb0O/jkfkBjKkbx3Uq21j8wH/m5qgcsuwVZutBC7dM/gUPqBD6GXhWBCGEUFMkfrpllNOW9wbWvVUfLBnsuu8NIe1EAGTmrXWuE3zCnnxvoMfw5iVGnE5gm9va8nj9+1no5Yb9aTtyy3Nxw1RWEZF69/zVem9YSYN4vP7WZoashxuGWTr5vyhtkDjh0MZTt8LX+13IKt1F/HLP6N4uh7JMJ/ts2rR4tFqMl+2IDfGFNIXT7U1HmBx1Mvwlv7RpVM7za6ciXwmAId9SS6slt8LGDDUja55tMV43xuNzl57z5fA3qiH0k3ARjxBCqAkSxu7Z82V0wJV51lwYpf6h69IDjyf5mknzh5rw/rbfxu/M1m/bokGPS5kalmPcp+gwAQCIQawE01Pn38zp0pFKT7ge/iCN2dZyEK+LKnyICo7jDnLupcEkPkQei4T+Y/vrssj026duUDbOVhqQ9SLi2p0USsfSzrarKguATI05fl/BTO39vVStfkOt2pYdfgs/3b1y4yVh2JdTlkFc68qs+5JRD1sM6p4bFZUkatPbwbZjldMX5Rs0c5yZa8+5Pqd+Oz5GFQCEcUdO8oesnJ3odeDEp5F/6DAByPSQxcue2gfc3z9UFQCgn7VliwzrzSfvehr3rbhmoNsbyKzkR28Y7U3aqdTmq1iGvKqODqPiCRWWro2bhw0AAOTfX+OwMH/o9oCZnRrgFBhC/w14VgQhhFDTQ35+mPC1i7kJFwBAwcy0w7v4+FzpRqJYBm7Hbl+a3aNZo1VJ5PELGM0Um/FvrrA1Huxz5lbsiQWDjAdvelDAfhHo6XvhKwnE25DFHlOWHH9HAJl2ZoVX6HtOYcL24eaDvc/E3T7nM9RsmF+CEED0MmTJVCeXRSevXYp5U3aWJTdmmY25y7ZrMacXOHleyCIBAHJ/pDJm8gnv2S6OzivD4m74T+ppPT8mX1KDmNpO4+3ZsdduAQBAXsSRs4yhLiPHjDG/f/hIIgEAUBB9MYo7yHmQauku6mMCE+/6Vl6H0O8NhbfW/z5mQ5yoSs3igu9fM4p9zS4o6gLxqxM+y0+9po1Kpl+c57Y+d9KhvW71eckaQv81eFYEIYRQ00Nmfc9VVFEu+iHGbKHcnMr5ng3QUoqR5E2GOwMILzdwNcTbi2sXfVIEIPgf74RdyHUOGEUGTvQjPKNjFnbhgODB0j723iFzttt38b0Rmz+pb+TNrM4dcm7GfPdSvfG/Z+ZDeeIT01dledyIWmjEBvHzVX0HrDoz/rgTACWymHc6eGy5LiQ/Ba7azf3r5nWvjizxi7U2PY8DkClHlleu7Pdt1VU2oCXEkdl6U+LCpmgx+aFjO/heS1xlbSLh2IOtodkq+3E6AEDWpaOXVEad7ymv1dm1/2Lfg3e91luxsz+nCTS7tq356IVubw7ID9nzegjN1qKH6wcabS05nUUJ+SJriaWLk/a7TzmrvzJiFU+lxigIoerhUgQhhFATxGYxSXHJ1/ekmKDkuFW+F/93YrLYbDabweRqmU3cNf9Xh26K//vjlWafFYYcAAD5X3hWKiHxLN2Zdnr+Efe+Q/Rri1mTUtfGxGWpXn/0i6Of8ot1TzIfRw3Q3Q4AAMLszDbPksVOAExtw/aKFWoSvUhIam2+VJ8FAOz2/ax0TwGInidUqey1VnWVtYJXwNQy6tqKCQActdYtxEIhSduqEkRuNp+j1ByA/HI28HI+2X/PrGlMKPzKfRUXcH2Z1RCFFs1Z/JwcAqDSqQjxo4B/9t7Lp4ChYDF1/SQt2r2VqqtWztL7ftTf7YvKJBLX9jWPrK5odxN27q3lbguTBh+ImtGFU12JCKFawaUIQgihpoet01Yr/2bqdxI0mUCkfEpX0mlD+xClfx2WnsNfK2brlLu+ulBBgZufW3LXNZGbm8/RBJah48DmHleDqfgONuvtPwYcCT/Ivt3OcbkG80sz+VYj97866qQIACAWi9lsNggjgMFisSpetc3gyssV8IsLpoSCQkoBGDSVybOrrQxeATCZZcXWdNe7OCk6LqObiymQH04GRuuOWGxnoggA0K11+to9AadXO4617Gn08XJsCtGreN0ARNImx2GPxod7lSumur3Hq9f9unQyNXT2+N1ycy5tG6GJV7kjVFe4FEEIIdQEKdsMMFlyKujl5HldRA9Czn3sNbuXpOe1/ptxTBz6M9237vmjp2d38d3t268q8o4BsLs42ArGrLuoN2uuWqfPvYWj1oV1WTBfh8lRdxyoPHrbxti+S/sqvj44YdBSha1PDw+mLdh0uD13wq4DT/v+YfgpZPf5D8RE2sq6cdhy9JXBjzzWTJjx9ML66TszR+5yMyAS1wY9NHEPmDu9+EaMwh7vQx0OBr0b6zlhxsAdC2dutDrs1UeDTXy7vXXulvjOy621TfQ273YvKol4sXoG/d5zNDLepIFGO01FSUkqYZu4lxYtfLZt2KxIs62Riyx/pAiEUDVwQY8QQqgJYrX3WDuHvc22m7l592FBet6+v2v8Z3+iKQ1aE/i3ytHh7VppGI29qL88ZM0AAOCYOvJYaQpWNrosjinPipnb1m6wHgtAvt+KYF/Da+O7qqvr224WTgxYO6K62x0UeSuOeCnuc9BXNxhysFBfk0VfmWL1ldVCYeRcPQ5bTo6j3N7e54n55gv+ozTIR4HHX/b6vdwvZ+FYjHPpcO/woQRSx21P8Cz5A0MNtdt3MmxjYL+TdA/cM0mv3OiLq9+b/7/5Vr0XhAt+tquJlAvHI9NSQicactmlFIfsz/zZAhH6r2NQVD0/I5zBqP8yf5pMhcE8NZK1PEgyWRsvzCPZvzOPID0p8TNTu7OhWl1vFPl39s+/mCAjOelDDluzQ2cdpR9YhBJvtnj4m+9Zb403eSBUrcb8/MELtBBCCDVZ8uodjdWlHQJJg7xa++5qP7wX8e6x/PBpVrgOQUhW4FmRRoV5JJO1PEgyWRsvzCMZ5pEM8yCEUJHG/Pz5z15ZixBCCCGEEJImXIoghBBCCCGEpACXIgghhBBCCCEpwKUIQgghhBBCSArwCVoIIYSkg8FgSDtCBZgHIYQaGS5FEEIISYdMPSFK1p5YJWt5EEL/HY35PQheoIUQQgghhBCSAlyKIIQQQgghhKQAlyIIIYQQQgghKcClCEIIIYQQQkgKcCmCEEIIIYQQkgKZWopkx26Z6rEhMqvk32TK2WUeS898IKQbCwDIjKtrfUJlIAgAmfkgcMVsD48/V518kivtMDKYR4bI7nyWDbLbPzL0fgeQmTw4XrWJ0uCfh2TGpeXjXFxcXFxcXce6Tfzj73XHH2eSDVJVFeInAX8uOvmufju6tEGurmPdJk6Z63voZqq4/AZEcvDf46bsuCOosFthSuTuv13t+1qYW9m5LQlKyK5SbsrpJSUd5TZp2gK/y8n51afgR6yd7B2WVtqR5Ofz3pPWRuSC+MURr7+OJlbYWPzA/4+xLuWNnX3gqZiuXIRQzWRqKaJsObBj8jqPv86mkwBQ+HyH+6zzKgN4uizpxiIzb61zneAT9uS79B+rKH66ZZTTlvcG1r1VHywZ7LrvjZR/+spaHpkio/NZZsho/8jS+x1kKQ+OV40a5fMwLzHidALb3NaWx+vfz0IvN+xP25FbnjfKcTCRevf81Xrv6JIG8Xj9rc0MWQ83DLN08n9R2iBxwqGNp26Fr/e7ULoKBvHLPaN7uxzKMp3ss2nT4tFqMV62IzbEF1Yolsx5diU0UbGPrS2P17eHZtrRCbypJ9OqW7QJk6NOhr/klzaNynl+7VTkKwEw5FtqabXkVtiYoWZkzbMtxuvGeHzu0nO+HP4GGIR+FlXf6lamKHGng3rbMcEfc24ttdDu63u/QIphKIqiBPe2DjfqYONormbmHS+qY2F1ziO4MatD57nRAoqiqNywybo9Ft+vU6Z/Wx6ZU8/zWdbUebzw/d608uB4SU7TGJ+HxNvN/ZR4fh+J4n+LE9daKfZakyimKFFa/KWgAwdDrj/7JqYo8fvIoyFxXwiKosTvbxw+fOO9mKIoIi3ueMitLwRFEZnPr4ccPBB87ek3cVHJn6KDzt1PvBUaeOrWB0GFhn28c/bo4dC45LCp+qZLH4ko6kcqS/0YG3w+4eu7m6GHD4aEJ36voUHEp6Df22j8FvytuO7oOZ06zjy2eaCmo3/xNkTa0ZHqBu5h30qLSAse29FicUyF0KKnK8yUhh4oqU4QPsNAZ/KFAooiMl/fv5+cRZTfmPq610Gpz/rX4pJ/i1+u6aVk759OEamxQcE3P1c3Rnn3Vlu30nU++lZc3RYINU2NeTwmU2dFAIDd8Y/d68yjvZzsJx5QWxow30xeyoEoloHbsduXZvdoJuUgAADk54cJX7uYm3ABABTMTDu8i4+X5kVRspZH9sjcfJYxMtc/MvV+l708OF6SSOfzkMjjFzCaKTbj31xhazzY58yt2BMLBhkP3vSggP0i0NP3wlcSiLchiz2mLDn+jgAy7cwKr9D3nMKE7cPNB3ufibt9zmeo2TC/BCGA6GXIkqlOLotOXrsU86bsLEtuzDIbc5dt12JOL3DyvJBFAgDk/khlzOQT3rNdHJ1XhsXd8J/U03p+jIQLpQCY2k7j7dmx124BAEBexJGzjKEuI8eMMb9/+EgiAQBQEH0xijvIeZBq6S7qYwIT7/r25VYpTJSXlZGRkZH2If586G3oM8CUA1B4a/3vYzbEiapsLC74/jWj2NfsgqIuEL864bP81GvaqGT6xXlu63MnHdrrpo8nuxH6abL329ZZ+m7eHn4Wq/M8Iyd1lH48eZPhzgDCy9LOAQAAZNb3XEUV5aJeYbZQbk7lfM8GaIl5ZJeMzWeZI2P9I1PvdxnMg+MlQeN9HhJvL65d9EkRgOB/vBN2Idc5YBQZONGP8IyOWdiFA4IHS/vYe4fM2W7fxfdGbP6kvpE3szp3yLkZ891L9cb/npkP5YlPTF+V5XEjaqERG8TPV/UdsOrM+ONOAJTIYt7p4LHlIpOfAlft5v5187pXR5b4xVqbnscByJQjyytX9vu26iob0BLiyGy9KXFhU7SY/NCxHXyvJa6yNpEwedgamq2yH6cDAGRdOnpJZdT5nvJanV37L/Y9eNdrvRU7+3OaQLNr21pMP+GNhaadlgFQorxcssOE/eaqTAD5IXteD6HZWPRw/UCjrSWXWVFCvshaYuHipP3uU87qr4xYxVOpOQpCqFqydlYEQPw6YPH+bAsLwcGFWxOE0k4jY9gsJiku+bqKFBOUHLfq90D/4TwyCOezZNg/TQuOlwSN93nIZLHZbLYcR0HLbOKumLv7RrV6mfBKsw/PkAMAIP8Lz0olMZ6l62indy/i3vfY6NcWsyYaJcTEZcVcf/SLo53yi4dPMh9vHKCrra2trTtw85PMl8+SxQDA1DZsr1ihJtGLhKTW5r30WQDAbt/PSpcFIHpetbLXWtVV1goAmFpGXVsxAYCj1rqFWCiUfJs9kZvN5yg1ByC/nA28nE8+2zNr2rTF179yXwUHXOcDU6FFcxY/J6fqjTjiRwHzpk+bNm3a9HkBj8QAwLXze5uZmZmZlZvz9tSAhzNc1zyu/qYaOUvv+xmZxTJuLzWTk1R07q3lbguTBu85NKML54fHDyFUnqwtRQSPNkxakuy06/zZnaO+rPVYfUfimdz/GrZOW638z6nfSQAAIuVTupJOG2XMI8NwPkuG/dO04HhJ0nifhyw9h79W+PquXLF88dzJQ7qpsoChoMDNzy2565rIzc3nKADL0HFg89tXg8PjO9gMt7dWuxd+8OLtdo4OGkz5ZvKtRu5/lVokLTsvfqUZGwAYLBar4kEBgysvV8AvLpgSCgopoK1Mnl1tZQAATGZZsTXd9S5Oio7L6GZhCuSHk4HRuiPG2ZkYGxsbW4waZwfnAk6nk80texp9jItNKVuLEEmb7Dq5BX6pvlBu2wEugzQTHycIqt+m9sjU0Nnjd8vNObpthKasHUQh1PTI1rsoO9p78sY8j31r7VupD12/azx/25RlUVWe0fcfpmwzwOTpqaCXQgD+g5BzH3sN7CXVi7VlLY+MwfksGfZP04LjVQMpfh5yTBz6M8O27nmcC2TW3e3bryry7ADYXRxsBcHrLir37qfWiddbeGxdmIb9YB0mp7vjQOWr2zbGZpCQn3TQpb3+hDPfqynYdLg99/KuA0/zSEFSyO7zHwj6yrpxqqvsh9ohzHgaunD6zsyRnm4GRGJQ0EMTd5+504vMXLbYpXX4waB30GnCjIHJW2ZuvJkmBgDi2+2tc7fEd+ZZa5u4b97t7+/vv3uze8UrwIjcpLBDl1M7m/aQB8j78ubNl7wf62B2uaK7JG6fOCvSbOuxRZaKtdgVIVQDGVqKkOlhf3nsbzZ3n3dfJQAAlYGr9k5j7Z+64HKmtKPJDFZ7j7Vz2Ntsu5mbdx8WpOft+7uGVEdQ1vLIEpzPkmH/NC04XjWT5ueh0qA1gX+rHB3erpWG0diL+stD1gwAAI6pI4+VpmBlo8vimPKsmLlt7QbrsQDk+60I9jW8Nr6rurq+7WbhxIC1I6q73UGRt+KIl+I+B311gyEHC/U1WfSVKVZfWS0URs7V47Dl5DjK7e19nphvvuA/SoN8FHj8Za/fR5U9LZpjMc6lw73DhxJIHbc9wbPkDww11G7fybCNgf1O0j1wzyS9Kr0tvDilFZstJ8dpptVn4YteG/fN684Gwf/mW/VeEP7Tp0eIlAvHI9NSQicactmlFIfsxzcCQj+JUfTErvoskVH/Zf40mQpTb3kE6UmJn5nanQ3V6noh8r8zD2ossjZemEcyzCMZfh42MYKM5KQPOWzNDp11lH5g0Ue82eLhb75nvTXe5IFQtRrz8weXIo0K80gma3mQZLI2XphHMswjGeb5TyCST+9N6DHFqZ30nwCHkOzCpUi9kakwmKdGspYHSSZr44V5JMM8kmEehBAq0pifP3hlP0IIIYQQQkgKcCmCEEIIIYQQkgJciiCEEEIIIYSkAO/bQgghJB0MBkPaESrAPAgh1MhwKYIQQkg6ZOq2bFm7TVzW8iCE/jsa83sQvEALIYQQQgghJAW4FEEIIYQQQghJAS5FEEIIIYQQQlKASxGEEEIIIYSQFOBSBCGEEEIIISQF+AQthBBCTRiZcXX9Tr7r0lG6LGlHAWjoPGTGpZXzjr4UAzAYTCZHScvIduwU5x6qjfG1ovhJgFdwi7krnfXrsWGlDWIwmEyOgpphn9GT3fpolx2bEMnBC3wi9GZtn9VTvmy3wpTIAL+9Z+NefSNadh4w8Z+/Xbsr0xVPv/fPo+mDhmoBmXJ62aKTyWIABoPFbdHGZMQUD8f2CvS5+BFrPaO6rvEeplE0E8jP55cvem7jt6DfxyPzAxhT143rVDZo4gf+MzdH5ZBluzNbD1q4ffIv9dFDCP0wPCuCEEKoqSIzb61zneAT9uS7bDz2tsHz5CVGnE5gm9va8nj9+1no5Yb9aTtyy3Nxw1RWEZF69/zVem9YSYN4vP7WZoashxuGWTr5vyhtkDjh0MZTt8LX+13IKt1F/HLP6N4uh7JMJ/ts2rR4tFqMl+2IDfGFNIXT7V0ndH3QQC0gc55dCU1U7GNry+P17aGZdnQCb+rJNBJoCZOjToa/5JfmonKeXzsV+UoADPmWWlotuRU2ZqgZWfNsi/G6MR6fu/ScL1cPvYPQT8GzIgghhJok4f1tv43fma3ftoVs/CbARsrD1LAc4z5FhwkAQAxiJZieOv9mTpeOVHrC9fAHacy2loN4XVThQ1RwHHeQcy8NJvEh8lgk9B/bX5dFpt8+dYOycbbSgKwXEdfupFA6lna2XVVZAGRqzPH7CmZq7++lavUbatW27OhV+OnulRsvCcO+nLIM4lpXZt2XjHrYYlD33KioJFGb3g62HaucvijfoJnjzFx7zvU59dvxMaoAIIw7cpI/ZOXsRK8DJz6N/EOHCUCmhyxe9tQ+4P7+oaoAAP2sLVtkWG8+edfTuG/FQ266vSsRfLoXHvX0i6h5u14DbTqpMMnPN0/cp0lL1weN0AKWTp9xUyYpAwBM6pZhNP7K/ULnIZys5EdvGGZm7WozWRjyqjo6DPkKE5Kla+PmYQMAAPn31zgszB+6PWBmp9qUhlBDwLMiCCGEmiSKZeB27Pal2T2aSTtJESnkIfL4BYxmis34N1fYGg/2OXMr9sSCQcaDNz0oYL8I9PS98JUE4m3IYo8pS46/I4BMO7PCK/Q9pzBh+3Dzwd5n4m6f8xlqNswvQQggehmyZKqTy6KT1y7FvCk7y5Ibs8zG3GXbtZjTC5w8L2SRAAC5P1IZM/mE92wXR+eVYXE3/Cf1tJ4fky+pQUxtp/H27NhrtwAAIC/iyFnGUJeRY8aY3z98JJEAACiIvhjFHeQ8SLV0F/UxgYl3fSuvQ+j3Lof8dsnTsqfHvsjHj8J3Tu5lNS+cD+JXNGnp+qAWLRDUvQUgysvKyMjISPsQfz70NvQZYMoBKLy1/vcxG6pWLC74/jWj2NfsgqIxFL864bP81Gva02Zk+sV5butzJx3a61af19wh9IPwrAhCCKEmSd5kuDOA8LK0c5RopDzE24trF31SBCD4H++EXch1DhhFBk70IzyjYxZ24YDgwdI+9t4hc7bbd/G9EZs/qW/kzazOHXJuxnz3Ur3xv2fmQ3niE9NXZXnciFpoxAbx81V9B6w6M/64EwAlsph3Onhsy7KqyE+Bq3Zz/7p53asjS/xirU3P4wBkypHllSv7fVt1lQ1oCXFktt6UuLApWkx+6NgOvtcSV1mbSDj2YGtotsp+nA4AkHXp6CWVUed7ymt1du2/2PfgXa/1Vuzsz2kCza5taz56odu7/EkNUfJbweAtF1Y7t2UCv/9Yw9VRr8EaoHLale1uV+kDyYpbIACQr1sLQHhjoWmnZQCUKC+X7DBhv7kqE0B+yJ7XQ6puK3q4fqDR1pLTH5SQL7KWWLY4ab/7lLP6KyNW8VRqToJQw8GlCEIIIdSEMFlsNpvNYHK1zCbumv+rQzfF//3xSrPPCkMOAID8LzwrlZB4lu5MOz3/iHvfIfq1xaxJqWtj4rJUrz/6xdFP+cW6J5mPowbobgcAAGF2ZptnyWInAKa2YXvFCjWJXiQktTZfqs8CAHb7fla6pwBEzxOqVPZaq7rKWsErYGoZdW3FBACOWusWYqFQ8mkFIjebz1FqDkB+ORt4OZ/sv2fWNCYUfuW+igu4vsxqiEKL5ix+Tg4BUOmbfPGjgH/23sungKFgMXX9JC3avZXKtudaeiwtPH5s4cyXr189f3wvW2G6CACqpBXS9IFkxS3g1K0Fq3sBcO383oZNUgYAYcrlf4a7uq4xuu3Tg/7ATc7S+37U3+2LiiQS1/Y1j6xQ8oKyvnE3YefeWu62MGnwgagZXeivOUOo0eAFWgghhFDTwdJz+GuFr+/KFcsXz508pJsqCxgKCtz83JKblonc3HyOArAMHQc2v301ODy+g81we2u1e+EHL95u5+igwZRvJt9q5P5XqUXSsvPiV5qxAYDBYrEqHhQwuPJyBfzigimhoJAC2srk2dVWBgDAZJYVW9Nd7+Kk6LiMbhamQH44GRitO2KcnYmxsbGxxahxdnAu4HQ62dyyp9HHuNiUsuutiKRNdp3cAr+UL6a6vctt8TlovJXrkQztXk6zNwSv/bVVScZKaen6oFYt4P54C6pfpHHbDnAZpJn4OEFQQ+21QaaGzh6/W27O0W0jNPEoEEkdnhVBCCGEmjKOiUN/pvvWPX/09Owuvrt9+1VF3jEAdhcHW8GYdRf1Zs1V6/S5t3DUurAuC+brMDnqjgOVR2/bGNt3aV/F1wcnDFqqsPXp4cG0BZsOt+dO2HXgad8/DD+F7D7/gZhIW1k3DluOvjKofIeGJMKMpxfWT9+ZOXKXmwGRuDbooYl7wNzpxfcxFPZ4H+pwMOjdWM8JMwbuWDhzo9Vhrz4abOLb7a1zt8R3Xm6tbaK3ebd7UUnEi9Uz6Pee0674VIT47cN4gck/f80epyV4eXBiREbh77R3VND1Qa1aAD/eAjO9zWbFLQDxswtl5RK5SWGHLqd2du4hD5D35U0atGun+QM9yzZxL+0b4bNtw2ZFmm2NXGSpWNN+CDUCXA8jhBBCTZrSoDWBf6scHd6ulYbR2Iv6y0PWDAAAjqkjj5WmYGWjy+KY8qyYuW3tBuuxAOT7rQj2Nbw2vqu6ur7tZuHEgLUjqrtbQJG34oiX4j4HfXWDIQcL9TVZ9JUpVl9ZLRRGztXjsOXkOMrt7X2emG++4D9Kg3wUePxlr9/L/XIWjsU4lw73Dh9KIHXc9gTPkj8w1FC7fSfDNgb2O0n3wD2T9Modz4ir37t0ucExd58/JGVZD70OXfrMvNnFzjjr7dta90GDt6CI8OKUVmy2nBynmVafhS96bdw3rzsbBP+bb9V7Qa16lg6RcuF4ZFpK6ERDLruU4pD9P10gQhGy9nMAACAASURBVHXEoKh6fkY4g1H/Zf40mQqDeWoka3mQZLI2XphHMswjGeZpYgQZyUkfctiaHTrrKDXNr1V/sgXEmy0e/nMPrm/IaOi/rjE/f/ACLYQQQgg1NfJq7burSTtEnfxcC4h3j+WHT2uQQAhJA54VaVSYRzJZy4Mkk7XxwjySYR7JMA9CCBVpzM+fpnlSEyGEEEIIIdTE4VIEIYQQQgghJAW4FEEIIYQQQghJAS5FEEIIIYQQQlLQILet12+BCCGEEEIIoUbTtB/mKzsP/ZC1J5BgHslkLQ+SDMcL1YWszR/MgxBCRRrzvAJeoIUQQgghhBCSAlyKIIQQQgghhKQAlyIIIYQQQgghKcClCEIIIYQQQkgKcCmCEEIIIYQQkoIGeYIWQggh1JCyY7f8fUjsuuHv/i0BAIBMOeuz/IHJMh8nXZbUQpGZD4J2HIr8wDSw9/B07ta8AarIvOI75/AzEQAAg8FkK7Ru1/u3aRP6aNap0WTW04TMDj3ac8teybi0ct7Rl2JgMJhMjoKaYZ/Rk936aJcdMhDJwQt8IvRmbZ/VU76soMKUyAC/vWfjXn0jWnYeMPGfv127K9NVSL/3zxM/CfAKbjF3pbN+aT80VAvIlNPLFp1MFgMwGCxuizYmI6Z4OLZXqJDmxZH5AYyp68Z1qsuoVB2UnyEpS/3UUHOEosFZ7axfH8WUH+Ny6tAW8ZMAr2NKf64alXfI65jSn2t/b1dWasO+DVAxPCuCEEKoyVG2HNgxeZ3HX2fTSQAofL7DfdZ5lQE8Ka5DQPx0yyinLe8NrHurPlgy2HXfG6L+6yALXkWEPmKa8mxtbXm8fua6+dcXDR7u+6CwLoXmBrnbLIzgV3gtLzHidALb3JbH629tZsh6uGGYpZP/C3HJf4sTDm08dSt8vd+FrNJdxC/3jO7tcijLdLLPpk2LR6vFeNmO2BBPl4xu7zohUu+ev/rke4VHHzdQC8icZ1dCExX72NryeH17aKYdncCbejKNLL8JQ76lllbLOh7g0w3KT5CQpZ5qqFHx4NRTMfSPt65LW4jUu+cvx3+jiv+s8H8N+jZAJfCsCEIIoaaH023OnhXh1p5/nrDYq7dn4rqC6ed9+6tIMZAwds+eL6MDrsyz5sIo9Q9dlx54PMnXrAF+yDI1zJ09pugXfZPoMUwxsdvxK8lLzIxYZNaLiGt3UigdSzvbrqpFi7K893HhNxOzuAZ9BlobKjMBACpuxvj+ICzyTcGnm0fPWE5yMlYuX4/lGPcpOkwAgJnjzFx7zvU59dvxMaoAIIw7cpI/ZOXsRK8DJz6N/EOHCUCmhyxe9tQ+4P7+oaoAAP2sLVtkWG8+edfTuG+lI2GavSsRfLoXHvX0i6h5u14DbTqpMMnPN0/cbzGoe25UVJKoTW8H245FOYWf7l658ZIw7MuppqcapgUsnT7jpkxSBgCY1C3DaPyV+4XOQ8q+FWfIq+roMOQZdKnJzzdP3FXq3zUr6uYnhV8G2JtpcoBIiQ6J49qN7qnGBCIlOuROMztb5vWqg0Kmxhy/r2Cm9v5eqla/UVZt6cZbmHr3asQLQdu+1spPIvmWv/cuzlJ5KjTPKRv2OU7GULmsynXV7+BUbbHDSLPCuCo9U10xFSO0qKEtNUwu2qlT75Pob+O+dG9GBHhWBCGEUBPF7vjH7nXm0V5O9hMPqC0NmG9WL9f6/Czy88OEr13MTbgAAApmph3excfnNniteUnXYpMV9AzUWYKE7cPNB3ufibt9zmeo2TC/BCGA8O5yW+vph6Ifxh2ba23qHppGQtXNRPlZ2UJSmJORmUeS1dXD1HYab8+OvXarqNaII2cZQ11Gjhljfv/wkUQCAKAg+mIUd5DzINXSXdTHBCbe9a28DqHfuxzy2yVPy54e+yIfPwrfObmX1bxwPohfnfCe7eLovDIs7ob/pJ7W82PyAXJjltmYu2y7FnN6gZPnhaxqs1dqgaDuLQBRXlZGRkZG2of486G3oc8A0wpH2+JXJ3yWn3otpkstfnXC29NtmNvGG49ubHE2s1t3XwDi58eWrDr3jgQAED8/tmRNWIqQblBEL0OWTHVyWXTy2qWYN3Tjzb/pwzMbs+VabJjPcN6oGctOJIlKslSZCuVqoJkUFeuq98GhaTFJ1zN0xdBEEEluSw2T6wfUYRLRvRlRCaq+NUSZP02mwmCeGslaHiQZjheqi3qZP6LHy0zk2B29YgXSziN6uNSkzeQLBUX/4h/9Vbnfprf1nof46MfjyrfUbtOmTZs2OlqtVNSNHBecfScm0g87afRe/VxEURQleubbU/O34Czi7aZ+re22JeZRFJEavnfXtXeFdJtR3w8MbeGw92uFet5u7qfE8/tIlLXv/uLuikMCKIqiMk+4aPdYfF9EUV+DnDW6/H1LSFHEJz+eosXKZ+Ia20W3d3mCOzumzD/xgaAoiso96aphsvQRJYzyNFQZvDeVoCgq95SrZo8lD4Ufd9m37rcxUUxRlOj5mt7Neyx9JKpNC7Lq1gLR0xVmchylli1btmyposRhKXSdHJRYcfYJozw7dp4bI6RJLRJGeRq2dPB/T1AUJYz3NtMYHUQJrkzV777wroiiKEpwZaq+6dJHIrpBEYTPMFAdGZhJURTdeBMfd9mr87a8FlMUJU72s1VpP/uGoDhLQZWpIC6tgXbulKurhsER1XJwKhRD02KaniHoxpguguS21JC/JEzxn+Vz1uMkqvpmrPmtIlWN+fMdL9BCCCHUNIlfByzen21hIT64cOv46/O7N/D9t5KxWUxSXHIVOSkmKDluw+RhG88+cWyCBv/V+ZVzdwk8ViwZoccqjH74JPNx1ADd7QAAIMzObPMsmek8evboY9OMtTZ26T3AcfSUWW2oFzSbgWNtaiVys/kcpeYA5JezgZfzyf57Zk1jQuFX7qu4gOvLrIYotGjO4ufkEACVrogRPwr4Z++9fAoYChZT10/Sot1bqWx7rqXH0sLjxxbOfPn61fPH97IVposAAJhaRl1bMQGAo9a6hVgoFL5ISGptvlSfBQDs9v2sdE/VsgWcurVgdS8Arp3f27BJygAgTLn8z3BX1zVGt3160B1PVU5NAgDbyNpGhwkAnE49TbhnnwL0q80AFJWnbdheEQDENAMpevLlhZaVrx4LAFi6NtaGOzLL9mtbeSqwoOR8AF1ZyWL10rrKa7DBAaDpGdGLzKrFVBNBUlug9DpJiTvXxk9PIroRQMXwAi2EEEJNkeDRhklLkp12nT+7c9SXtR6r7+RLMw1bp61W/ufU7yQAAJHyKV1Jp03DPDaHwVXRMWhnaGw/79D+31JXjJ0blk6CfDP5ViP3v0otkpadF7/SDFi6I3fc+fA2eq8nT/GWz5Bx/u/k6DarDXFSdFxGNwtTID+cDIzWHTHOzsTY2NjYYtQ4OzgXcDqdbG7Z0+hjXGxK2fVWRNImu05ugV/KF1Pd3uW2+Bw03sr1SIZ2L6fZG4LX/tqq5DCFySw7YKEAGFx5uQI+v+guZkooKKS/n7lqC7g/3oLqL6Xhth3gMkgz8XGCoJoNKqUGAKAEAkHRX0U5OQVcBQAmg0ESRRdiUfn5AgktYbBYLCYA0I03yDfjFvDzisKS+fkF5XesOhXKmkk3d9jl6ipTb4ND3+LKPUNXTLURJLalpvy19fOTSOII/NfhUgQhhFDTkx3tPXljnse+tfat1Ieu3zWev23KsqhsKQZSthlg8vRU0EshAP9ByLmPvQb2auibV5R6L/abyjk2d+mVvO6OA5WvbtsYm0FCftJBl/b6E858Fz/2ttQfdTSnk8OEOfOcu3Hzc0m6zYDNZjP42dnVHhkJM56GLpy+M3Okp5sBkRgU9NDE3Wfu9CIzly12aR1+MOgddJowY2Dylpkbb6aJAYD4dnvr3C3xnXnW2ibum3f7+/v7797s3j25mr3L6ha/fRgvMHH9a/a4EZbc6JMRGYWlp5oq4JgOt+de3nXgaR4pSArZff6DpAO78i2AH2+BWVkLTCqc+yByk8IOXU7tbNrjB4Za/PzEjgsfxOT3u357YvUHDwGWukbL1Id33hWSeS+DgiIzSQCoYVA4NAPJNR9iS4TtCk4SgPBN6M7QV+X6repUEJTWQFdWNc+7ohscunVaTYND2+KqPUNXDH2EWraltvlp1W0S0Y0AKlHvl3zJ1OXjMhUG89RI1vIgyXC8UF3UZf4Qaec9OqharbxfUPJKbsz8Hsodp136JpU8xRnurLPT1ehgZmag3n703ufCWuzyo3mIj348pX6b35ZdvJ51ZZphs85/RuTkPNzj3ttArZWams4vw5ZdSSUoikj7n8/QLtqt1bW09c3GbLmVRVEUzWbi5zuGtWnG/WXBndLIxNvN/TgMFovFYrPluM21f7H/M/BZAUWJ7i3qruLgX+7ieUqUsNxMscfShyKKSI9cPaKjipJau47tNZu3MHBYdu0zUT69xL1LCJ8fGG+io97G0KiHrbu3h4XG6GOUMMqzY9e/44RU8Z0YRX/Pur3VxUSndStNQ5sR1nqmVe8Vqf8WFN8rUlKunGLrDv089j7KrbBJuXtFqqQWRnl21OvvxOug2VrNoM/Ug0/zKIoiPpyZx+uoraGpb+72zzhTs6WPRHSDIgifYWhcfIcF7UASXyNXjTBSb9lap+sQZxudzl43hSVZaKZCaQ10ZVWsS9LgfKvl4FScx1VbTNszNGNMF0FyW2rIX8O9Ij84iajqJhHdm1GWNebPd0ZRffWIwaj/Mn+aTIXBPDWStTxIMhwvVBeyNn/qJ48gPSnxM1O7s6FaXW8UkbX+qS1BRnLShxy2ZofOOkpN88KLhmxBYfSf3WZwDz9c34v++cN1kZcQdiaru4uNHgsg94RLRz+TmKh/DJvKLQkN2TNS0OTfBo35+YO3rSOEEEL1RF69o7G6tENIlbxa++5q0g5RJ021BezsqNWuGx4sndVX6d3ptVGdJi6h/cXkqDE01UkkFTK1VsuO3TLVY0Nk6S+tJFPOLvNYekbiFaCNg8y4utYnVAaCAJCZDwJXzPbw+HPVyScN/8z6WpKh/pEhsjufUUPCcUcIVYdlMMxrjqNug3wNzLVedenwb/KPLoVFpxt7Xzkzr2tT+ra5IXsGyTbZukCr8MlGe55/u/239v2qzix87jfU7kD3wMiNP/8LdOvlBBOZeWvd7yOXZ067e8ene93eJXXOI366adDgoHZzPPvknlu3X/RX1Nkp7erwrce/rn9kS73PZ1nzLxuv+vKvH/f6ImvzB/MghFCRxvz8kamzIsDpNmfPig4XPP888Sk3znfiuoLpAb5S/vktvL/Nqe/Eq3JtWzCkmqM4TeyePV9Gb901b8Jk7yOb7BJ2HXhM+2iRRkwkU/0jY2RwPqNGgOOOEEII1ZKsnQpjd/xj97r/9fFysldKVVsaMd+soZ+FWBOKZeB27PaQL/ONlko5CQCQnx8mfO3yhwkXAEDBzLTDuyvxuWDWUoqRZKp/ZI/MzWfUKHDcEUIIoVqRtaUIAEvfzdvDz2J1nmfkpI7SjydvMtwZQHhZ2jkAAIDM+p6rqKJc1CvMFsrNqZzv2QDSXIrIVP/IIhmbz6iR4LjXDoMhW6dTMQ9CCDUy2fsZKX4dsHh/toWF+ODCreOvz+9e1+ch/quwWUyy9Lc9kWKCkuNi/8g2nM//TTjutSNT90LI2r0ZspYHIfTf0Zjfg8jWvSIAgkcbJi1Jdtp1/uzOUV/Weqy+ky/tRLKErdNWK/9z6ncSAIBI+ZSupNNGWdqhkAQ4n/+bcNwRQgihWpGtpUh2tPfkjXke+9bat1Ifun7XeP62KcuisqWdSoYo2wwweXoq6KUQgP8g5NzHXgN74UXosgvn838TjjtCCCFUSzK0FCHTw/7y2N9s7j7vvkoAACoDV+2dxto/dcHlTGlHkxms9h5r57C32XYzN+8+LEjP2/d3DRkaQVQezuf/Jhx3hBBCqPZk6/eK1DuZClNveQTpSYmfmdqdDdXqegH6v7N/UGPB8UJ1IWvzB/MghFCRxvz8waVIo8I8kslaHiQZjheqC1mbP5gHIYSK/Hd/xSFCCCFUC9mxW6Z6bIjMKvk3mXJ2mcfSMx8I6cYCADLj6lqf0IYKknnFd7xLEVfXseM9/vQ5cPNLXesis54+ThbWtJX4ScCfC46/IUr+rGOl4hdHvP46mliHQA1A/CTgz0Un39W5bRKLqUPrivseqo4BmXFp+bjiaeE2ccpc30M3Uyv8CmQiOfjvcVN23BFUKLAwJXL33672fS3MrezclgQl1PKuNvGL3VP/OZchLqm0qNY//l53/HEm+VMtawLqaVb+/OQgPx+fM/1gnd95sgeXIgghhJocZcuBHZPXefx1Np0EgMLnO9xnnVcZwNNlSTcWmXlrnesEn7An3xvm+0Sy4FVE6COmKc/W1pbH62eum3990eDhvg8K61JobpC7zcIIfk2bEal3z1+O/0aV/FmXKgGAId9SS6sl7WXGtQzUAIjUu+ev1n3wJBZTl9YV9z3QjEFeYsTpBLa5LY/X39rMkPVwwzBLJ/8XpasRccKhjaduha/3u1C6fAfxyz2je7scyjKd7LNp0+LRajFetiM2xNc8l4i3++cfa/mrvRqzpFJbHq9/Pwu93LA/bUdueS6usYSmqL5m5c9PDqbWkKGsfQuDU/9tqz3Z+70iCCGEUE043ebsWRFu7fnnCYu9ensmriuYft63v4pUIwnvb/tt/M5s/bYtGvSJ/EwNc2ePKfpF3yR6DFNM7Hb8SvISMyMWmfUi4tqdFErH0s62q2rRoizvfVz4zcQsrkGfgdaGykwAgIqbMb4/CIt8U/Dp5tEzlpOcjMs9H17w6V541NMvoubteg206aQi6ZtLMjXm+H0FM7X391K1+g21aitHk0SYevdqxAtB277Wyk8i+Za/95ZX1dFhyFcJ2TynYqDKrapUl+qXKg0sp3IbyM83T9xvMah7blRUkqhNbwfbjkUNFn66e+XGS8KwL6dK24iU6JA4rt3onmpMIFKiQ+40cxhtVnjzxF2l/l2zom5+UvhlgL2ZJqfaYipGaFFD62rIX9PMsBzjPkWHCQAwc5yZa8+5Pqd+Oz5GFQCEcUdO8oesnJ3odeDEp5F/6DAByPSQxcue2gfc3z9UFQCgn7VliwzrzSfvehr35dLMm7JQMVt25P56tqd8lUqJQawE01Pn38zp0pElTk+4Hv4gjdnWchCviyp8iAqO4w5y7qXBJD5EHouE/mP767LI9NunblA2zlYaIHmU25ZfslYsmQXVDSrt7Bxl1Zamz3/2bUIzOUaaFcbVw+SY42QMVYMq9f/DYemknQ9+W2VRdaY2XXhWBCGEUFPE7vjH7nXm0V5O9hMPqC0NmG8m7WebUywDt2O3L83u0azRqsxLuhabrKBnoM4SJGwfbj7Y+0zc7XM+Q82G+SUIAYR3l9taTz8U/TDu2FxrU/fQNBKqbibKz8oWksKcjMw8svTbVvLbJU/Lnh77Ih8/Ct85uZfVvHCJ3waLXoYsmerksujktUsxb/g0Sfg3fXhmY7Zciw3zGc4bNWPZiSSR+NUJn+WnXlcNKSwXiKZV5et6ebtKA8vQtUH86oT3bBdH55VhcTf8J/W0nh+TD5Abs8zG3GXbtZjTC5w8L2RV+spZ/PzYklXn3pElf18TlgLiVye8Pd2GuW288ejGFmczu3X3BbTF0EQQSW5dDflrj6ntNN6eHXvtlgAAIC/iyFnGUJeRY8aY3z98JJEAACiIvhjFHeQ8SLV0F/UxgYl3fftyaeZNOfkRgeebDxxiQHMCksjjFzCaKTZj5N5cYWs82OfMrdgTCwYZD970oID9ItDT98JXEoi3IYs9piw5/o4AMu3MCq/Q95xCyaP8pvxZliol59MPanWzk6bPf/5tQjc5yPqZHDQRAADYRoMHEKHHbtfpNKjsoepbQ5T502QqDOapkazlQZLheKG6qJf5I3q8zESO3dErViAbeSiKElzy0DXzjhc1SB7iox+PK99Su02bNm3a6Gi1UlE3clxw9p2YSD/spNF79XMRRVGU6JlvT83fgrOIt5v6tbbblphHUURq+N5d194V0m1GfT8wtIXD3q8VGnFnx5T5Jz4QFEVRuSddNUyWPqIEV6bqd194V1TyZ/nNw2cYqI4MzKQoii7Jt4+77NV5W16LKYoSJ/vZqrSffUMgjPLs2HluTNWQ4tJAdGVVqItmX4ltEAmjPA1VBu9NJSiKyj3lqtljyUPi4y771v02JoopihI9X9O7eY+ljyq0rVxzBVem6psufUQJozwNWzr4vycoihLGe5tpjA76SlcMXTdKbl0N+YvDUFXHgHi7uZ8Sz+8jUfqK6P7i7opDArIoiso84aLdY/F9EUV9DXLW6PL3LSFFEZ/8eIoWK5+V77KSoiR1q+jRMlOdSWEFJZU207efNX/+/Pnz/5o51lpXuf2kU59FH3YMatV79TMhRVFUwf0lpq2G7Et5s7m/ztjQXCJt33Cjbl11Rhz8SmQeG63766EvNYxyhWg0JafSDGqFd18Ns7MObxO6ySGimRy0c4xufCVOjiyKoiiKf2KMWu+1iVWHrZ415s93vEALIYRQ0yR+HbB4f7aFhfjgwq3jr8/vXtfnmzcNbOPZJ45N0OC/Or9y7i6Bx4olI/RYhdEPn2Q+jhqgux0AAITZmW2eJTOdR88efWyasdbGLr0HOI6eMqsN9YJmM3CsWgfX0mNp4fFjC2e+fP3q+eN72QrTRTWkYmobtlcEADFNFYlPvrzQsvLVYwEAS9fG2nBH2a/ZYbatHJIFJd/+05UFoF5aF92+NbaBqWXUtRUTADhqrVuIhULRi4Sk1uZL9VkAwG7fz0r3VO1GwcjaRocJAJxOPU24Z58mvsisWozEbqRvXV3GoCIiN5vPUWrOAfLL2cDL+WT/PbOmMaHwK/dVXMD1ZVZDFFo0Z/FzcgiASuc3JHcrkfopo6W6etk1NUwWm81mM5hcLbOJu+b/6tBNVXw14ZVmnxWGHAAA+V94Vioh8a91Z9rp+Ufc+w7Rry1mTUpdGxOXpXr90S+Ofsov1kkcZfGjgH/23sungKFgMXFg1ZIToWOVQS0st8/UlQYSZyez7ZSffZtUp/LkENXL5EgWgxkb5NTVW2Z8ShVDRynfF1eP8AIthBBCTZHg0YZJS5Kddp0/u3PUl7Ueq+/k12KnfwEGV0XHoJ2hsf28Q/t/S10xdm5YOgnyzeRbjdz/KrVIWnZe/EozYOmO3HHnw9vovZ48xVs+Q8b5v5Oj26wq8nPQeCvXIxnavZxmbwhe+2urmo8VGCwWiwkAdElM5ZtxC/h5Rde1kPn5BeV3rBqy7AlBNGVVqEvSvtW2gcksaw0FwODKyxXw+UV3EVNCQWHl+4mZDAZJFF2UQ+XnC4r/mxIIiv8qyskp4Coo0hRTQzdW07qfH4MKxEnRcRndLEy55IeTgdG6I8bZmRgbGxtbjBpnB+cCTqeTzS17Gn2Mi00p6zIiaZNdJ7fALwwJ3Qogx2ZBuae8svQc/lrh67tyxfLFcycP6abKAmAoKHDzc4v7Aojc3HyOgjzL0HFg89tXg8PjO9gMt7dWuxd+8OLtdo4OGsyaRrkcRjOakqHqoFYmaXb+/Nuk1pODbo79+OQwY0PxqQomm92gt6M1NlyKIIQQanqyo70nb8zz2LfWvpX60PW7xvO3TVkWVctHkf5bKPVe7DeVc2zu0it53R0HKl/dtjE2g4T8pIMu7fUnnPkufuxtqT/qaE4nhwlz5jl34+bnknSbAZvNZvCzs8sdborfPowXmLj+NXvcCEtu9MmIjEJxbZ+KxKGposB8iC0Rtis4SQDCN6E7Q1+VK6xqSEFpILqyytdFt6/ENtA9eYhjOtyee3nXgad5pCApZPf5yo9hZqlrtEx9eOddIZn3MigosuRZteLnJ3Zc+CAmv9/12xOrP3hIV5pi6Luxlq2rbX46woynoQun78wc6elmAIlBQQ9N3H3mTi8yc9lil9bhB4PeQacJMwYmb5m58WaaGACIb7e3zt0S35lnrZogoVuBbWCgnZHyUdIZGo6JQ39m2NY9j3OBzLq7fftVRZ5dN2B3cbAVBK+7qNy7n1onXm/hsXVhGvaDdZg1jTLbxH3zbn9/f//dm90tLehKrqr8Pib/Z+/OA2JM/wCAf5vJTHKU0l2UUu5KN0JRkWuTa/qVq7K7jnaxrkVyrSNEyxJyplI5I2SjS5GEytGFFVHRXWZq5n1/f5RMmpkmHTPx/fy1O73P83yf7/Oo95l5nne4tv/wauvb/5kIPTl4zTHe4ytocpQAAADzzZsitT5a39eeplbf8iVW28fFKhiMp0niFg8SDMcLtURL5g8n/7JbXzmLzcmfPr9SHrfKQEb3l4iPIomHW5ufFek6cs/LLycCiq//otO532+3yspS/FyHaSnIKyioDZrkeT2PQ5Kc/H+9Jg5Q7amooqppNMsnoZgkSR6XsZ/un6TemT5o9T3W51pZT4/NNlRTVNfpb2DtusHNRGnamSbOiujo17/EK5IP0Vun9Ffs0VNt4ITpo9T6Lb/DqjsrwivILwHxqIu7LV4dJAX04SMrxkN34IpEFkmSZN1/kyRZfHcvw1Ctp7yyzqgplr2HNjwrQnJeX1hmpauqpKxp7LzSZahR7VkR3d6jHaz6KvdU0Bq+4Hh6JcmzGl5pFNy7JuIXfFaEJkGlUqmSkp3o3VQH2f0W8OQTSdbc/3OI7LhDXGdIyJrUjUZdDNan1JCcgui/pujKdlXoo6ut3K271jjPyHd85g1XXHdXDR70RwKL5wGVz9EUJe79n7FGT7meSjqWroeSy2qnya3FWrT+K++ySLLi0hwluunWp2w+M6bhjBJcM49BZXEXaWp2fvs/E16To6YFk+Pjl0Z4hkCSJPPWIl3TjWkt/vXSpPb8+47fsRa84wAAIABJREFUtt6uMB7BxC0eJBiOF2oJcZs/GE/bqUwNv1A8hDGqNxWgPISh62sYF7NSp+Puda+O/W3wQvrJlJ3m38MjVZmFOZmvyySV+/ZT6yrMVhnOs51jnD9sS9xp8T30vtW16eRg3vaw2NnvwpWFmm39r6c9f/98Xx/xIIQQQkjMSJbG/OXk/WD94hFdX53fHqM3d12b30khoUkpaA9RaMb11P7ufxhN8AsvsnCUE+Jy1GqI/HOHU0av/Ot7+9eDZ0UQQggh1IbollsjTs6QehgRHlugv+H6hWUDO/b7oFStSct/H9+rY3eiBXrYb90w6L+Uj9/bt363irabHERhcp7ZZk+rrq1ftWjhBq12hfEIJm7xIMFwvFBLiNv8wXgQQqhWe/7+wU9FEEIIIYQQQiKASxGEEEIIIYSQCLTJBq3WrRAhhBBCCCHUbjr2E7TEZ3uruO21xXgEE7d4kGA4XqglxG3+YDwIIVSrPT9XwA1aCCGEEEIIIRHApQhCCCGEEEJIBHApghBCCCGEEBKBH/YLehBCCKEOpq03cOPpFIRQO8OlCEIIIdQx4FIBIfSdwaUIQgihjokoehC4/0T0a4qWnZvH9MHdvv94iNzznp45NgdWjJL+8lphxOZlp5+zQUKCQqFJK+gMnzbfebjqlz/vnJyg1V63ei/+e7GZVP2L1bnR/r6HLyZmfeT06Ddm7soVTkNkmmqd/ezUKn+JBTtc9Kit0pni9NSivgba1G+vlpnm77H8cApz5Mar3hOEy/e3pavpfBG55z3/DM1hA0hIUOnd1Q2nuLuN15aGlmGn+S8P6r70r+mabd4BgaURajt4VgQhhFBHxE73cXTw+U/Lcpjcg3X2TkdecL7/eIiyJ9fDYl/UNHixMuPW+VRJY2srq9GWRjrUFO9Jpg6HnrHr40o9sSssIWqn75Xi+pee+00bxjhRPHS+1+7da6cpxC23nuL9uLqp1iWkeqio9KC3Ul/KA11HrblV0ZJqWdG+G2/IzPb2djPvInSh5qdLqHwRZU+un8voMtza2spqhIFy/uk5VgtC84lv6BU3Tl7S5RtpJe3RAf6lEWpbZGtrizq/mVgFg/E0SdziQYLheKGWaOn8Yd5e3Lff0lgmSZJkefj8XgZrk2u++3hq0jcZdZ14rIT7Nc7LPSO7Wvm+4Xz+/7eBM9WVZgR9rIsr9nc93UVn9oxVHn+o9hpO/umpilqu4R/ra8gP+p+uydo4JnetefFBFx+9y7odfCLgcvI7Vt1rgUF33nE4efFBl1M/vLpz7uTx4KiMBtHU+fQm6cqZY0dPhN56Xvw5MHbRk3+Djx8Luvm0iMMpTj7jqt958Byf84/qqv2Ycs7/Wgar7toX/54ISy4iSZJT9PRm8PFjQZHpH9kNmmC/iT2+0Fym7/Qth69nsUmyJv9xROCx48E3n9ReyHkbG3gpOSPhXEBYwusvXWt2uoTL19dDw4xaqKU2/8qnJvLCL5XMN/cunj55LjEnfIHm0PUPWzTe/DvQeNx4lEY/pPb8+46fiiCEEOp4iHcpqR8GGBvSAQCkjYb2ffX4cTnGAwAUVYfZdpLxkQkAAFB569RFiYmMqbNmGSefPJXBAYBPsVdj6DbTbeTqSyjOCshI2jKC+4MJdlbIBg/nSc67bj+87TPdyHZHMhPYWSFeG8Oy2eyskA1LGOOnbw5PvH1onpnlqrgq7gCIjxEepmZuR6IfPYw6MN/cYllUBUDV/e02g2z/PJeQGLZqrOmc4FcVxaUsglVWWFRZVy2tKmHXwt23qwAAqhN8F2+Lq5Rmpv492dh+w4XEu5e8JhpN8k1lcbVTXfahlMmpLv+QX8osu7PJWt/e60JCfMhqG3373Q+qoOZ58LoFDow/QyMj4l6wgZ8m0yVcvmrVVBYXFhYW5r9+fPncXRg+ZiitibzwTGV5nOcoY8a+yLjzqx08rhQ38clKfQeYze5Ao7p4lUaojeFSBCGEUMdDFJeUd5GVqd0hT+ku040sKynFeAAAQFJJWb60oAAAoDjidISso5OZlMpPTqNfBBxPqgai9F0+U1lDo8mzokS5ulvI5UN7j16/6F7hs+MC944dorS3+6Wrxw+eDN9jXxgZmcFdribnJdPe58r5w/v2nwr3ti+OjclmF13c4VPmdiUu5PDhkMgjLvQ3JQbO9jr0PuOXuQ6rK0YzYzjK3Ai9XQnAjD97lebgZF4W4rW12C0iJtjPLyjmqlvRtq0XvjRD1Zqw2GFAFw3rxWumyQRu9OV4RMaFHDl6Lv7y3A/bNgS+AwCyxmTZ+aCT/itHCdq/JThdwucLgHV7zVA9PT29fgNNGSdYVj8Zy3HfZPHKC49UVr8N2HqQ/se1m6eOBPwbvECz6T1edR1gtrgDvEoj1Nbw2DpCCKEOSJJKIdif3+wm2ByyE721TjF09Hg45aUVtK7dAIj3FwOuVRGj/Rb/QoHqD/SsRP+bnhbDu3ejVpSVcQAEHxOX7G85So0CADQ9M0P6xfQcUKv/GUWl/0B5CgDQFHp2Z7O4P6wAuqnb+uqzZ9Ysep6d9fTR/VLpX2vY2WmZnY3c+9MAgCJv73nUHqD05dftGTCmqYwP/bd8ND34muzUi0PhWWBa0aOYMb3+BgAAVmmR+hOekdY8Tc1SHr5JhwYAIDXIykI2+HEG9AGKqo5204dImkjXBGl++WI/9F95+H4VCRLSJgv+Mgeg2/q+DJ8nAwCs3GsrJzs5bet/18vg840Wj7zwSiXrWWpmT+P1mlQAkNQeadErTMgO0FrWgZ3zVHiW7tpkAhFqEfxUBCGEUMcjqaahUvUur4QAAODkvi3oqqbe5COgfox42JmxiYWDTYYC8To0ILbXFBdbQ319fX0TRxdbuOR/vqCLqVn/N4nxuV+233Ayd9vqOQe8b/gGPMlkMmufHVxTVvaJLt3gpp5C+XL/0PABw8S7wNkWTqcKVc0dlngHbf9JngIAUnRadVVVbYuc3JgzYfcLGwdO1WPM0I4Ouxwe8q/adMYASZDqLCU/9WhWXq380srHm3n2WEJaml5VXlEXB6e8vIomLQUAElQqtcnbnKbSRXTjmy/+ldI1xjBslDMepTIF54VHKiXoUp0+VdR1hmQxq5t6fvPnDtCb3YEG1fAr3VT+EGqpVj99IlYnWcUqGIynSeIWDxIMxwu1REvnDzvbx0rFevcTJkmW31tvojb11PsWHbPtEPE0eWydWZAW9sdwRa05Ye857KdbzWWt9r2sP+3NSljRr/ton5zqNycdVFTttse/ryFJkv0hcZe9muLko6+442XFeGhL6ble+K+GU3xvq5WqidfDGlaMh26/pXEsVoyH7sAViay663QHrkjkLnlnuZ78ZP88DklWPjs2vRet34oEFjN++QA1+72Py0n2+2sLB6rNDP5QceonmRHeOWzyc7UkSXLeHByvqafXy+bvVxySJD/F/K6nMMorroBDVmYcm9ZLbfb5Bun4FOakNGJnNpssv/6zttqEfQ/LSE7Rve1jlHQW/VvBjFqoo78m6etnBzQ/XWyOEPlqODTssoywnwd1N974+EvzPPPCI5WsiltLdDUm/5NWwfmUcWK6Bl1fwLH1lnWAu1r+pRtPQ/T9a8+/77gUaVcYj2DiFg8SDMcLtUTL50/5vR22vZT6GhlpKWpPO/yU9QPEU5O+yaiTBLVeJzW3iKqXe0bSJKhUKlVSshO9m+ogu98CnnwiyZr7fw6RHdfgOUg1qRuNuhisT6nhFET/NUVXtqtCH11t5W7dtcZ5Rr5ruHBixXjo9h7tYNVXuaeC1vAFx9MrSVK4pQjJenpstqGaorpOfwNr1w1uJkrTznwkyZKk/S4mvRR6KqsPnuQZ8YZDsp/un6TemT5oNddShOTkn/hJVnbi0c/RlKX4uQ7TUpBXUFAbNMnzel7DIOuXIiSnKHHv/4w1esr1VNKxdD2UXEaSApYizU0X2XS+uIZGUrJTpy49+450O/ywvKm88FqKkGTx3b0MQ7We8so6o6ZY9ubxBK1mdoBsugMCu49+PO35912i1b+6VUKi9ev8ZmIVDMbTJHGLBwmG44VaonXmD7MgM+MdRbWfjkJLD2Z8n/EIxCzMyXxdJqnct59a16/3MVXH/jZ4If1kyk5zGp/SPx5B+eoQOnwHULtpz7/veGwdIYRQhyWlqKuvKOoguIhbPAJJKWgPURB1EB1Ih89Xh+8A+i7hUgQhhBBCDVG1Ji3/ndoLbxIQQm0LN2i1K4xHMHGLBwmG44VaQtzmD8aDEEK12vP3D24WRAghhBBCCIkALkUQQgghhBBCIoBLEYQQQgghhJAI4Ik0hBBCoiEhISHqEBrAeBBCqJ3hUgQhhJBoiNWxbHE7Ji5u8SCEfhzt+T4IbtBCCCGEEEIIiQAuRRBCCCGEEEIigEsRhBBCCCGEkAjgWRGEEEKoY2jrDdx4OgUh1M5wKYIQQgh1DLhUQAh9Z3CDFkIIoY6JKHoQsGmJm9tvW0PTykUdzGdE4Y3tXudec9qm8tzz6+Z5x1Q1bDBiowuDwWA4Of3Pea770i0n7uSxuS/g5AStcHHff4/J/WJ1bvTBFU52I0yMLWyd1wWmlgrROvvZqeV/nM5ora4RxemPclgtqpaZ5r/A1sx45IqrQo//t6Wr6XwRuefXuTBqK3ae98tq32s5VV9f81ldj4XuJs9+fFfZE1gafedwKYIQQqgjYqf7ODr4/KdlOUzuwTp7pyMv2ubuv1mIooQdTnO8wtNK2ubTC6LsyfWw2Bc1DV6szLh1PlXS2NrKarSlkQ41xXuSqcOhZ/U3iOzUE7vCEqJ2+l4prn/pud+0YYwTxUPne+3evXaaQtxy6ynej6ubal1CqoeKSg96K/WlPNB11JpbFS2plhXtu/GGzGxvbzfzLkIXan66hMoXUfbk+rmMLsOtra2sRhgo55+eY7UgNJ/gGUIrJPI7yx7/0uj7hxu0EEIIdUCseD+/99P8ry+zpIOj4uuB6489mrfFSJR/1FjJ+2bMPlCqqdG93b+ZkKJkOsvVXY0CALDIxcjJbKlX2Iyzs+QAgJV4KrRiwuYlGcuPhbyd+rMaBYiC4LWe6Xb+yUcnygEAjLQ07V5ouSc0yUN/RP0tLfHuTkhS19EDi2PuvJUeNMbOSJkGElJyamoSUhLEuzshyd1thpTHxGTWqA8bZ60r83VAzLf3o2LS39d062M+dpSeLAUAgFP8NDoy6TWpbm5nrSfxMDz6xae3d05fMPUwl1NTk5AqfXj+Yv4g53G6NADgvIwKSJGd7GjUgyh+divyXi6pZmprPVCO+qUJztu4oPD0MrpGSXYJdSQF2AWpN6Me5FM0TG2sBshRgciLO5ssbaTw3/08lZETLTS47tablS7h8gUAAFS14S7u82QAAOYNLuw/+3py9fQJtOKchy8ktA37yNa/+VuXSOCXyB8ze7xKox8BDjRCCKGOh3iXkvphgLEhHQBA2mho31ePH4t4kxZJ1XI+czdiiUFnkYZBUXWYbScZH5kAAACVt05dlJjImDprlnHyyVMZHAD4FHs1hm4z3UauvoTirICMpC0N7gzZWSEbPJwnOe+6/fC2z3Qj2x3JTGBnhXhtDMtms7NCNixhjJ++OTzx9qF5Zpar4hruGPsY4WFq5nYk+tHDqAPzzS2WRVUAVN3fbjPI9s9zCYlhq8aazgl+VVFcyiJYZYVFlXXV0qoSdi3cfbsKAKA6wXfxtrhKaWbq35ON7TdcSLx7yWui0STfVBZXO9VlH0qZnOryD/mlzLI7m6z17b0uJMSHrLbRt9/9oApqngevW+DA+DM0MiLuRYNNRM1Ll3D5qlVTWVxYWFiY//rx5XN3YfiYoTSA6oSdM2d5J3J/klXXY+CVyB83e7xKox8BLkUQQgh1PERxSXkXWZnaT0Eo3WW6kWUlwpx3aENShpOnG3K/8ywqkkrK8qUFBQAAxRGnI2QdncykVH5yGv0i4HhSNRCl7/KZyhoaTX6ARJSru4VcPrT36PWL7hU+Oy5wb5ohSnu7X7p6/ODJ8D32hZGRDY491OS8ZNr7XDl/eN/+U+He9sWxMdnsoos7fMrcrsSFHD4cEnnEhf6mxMDZXofeZ/wy12F1xWhmDEeZG6G3KwGY8Wev0hyczMtCvLYWu0XEBPv5BcVcdSvatvXCl2aoWhMWOwzoomG9eM00mcCNvhyPyLiQI0fPxV+e+2HbhsB3AEDWmCw7H3TSf+UoQTuQBKdL+HwBsG6vGaqnp6fXb6Ap4wTL6idjOQqA1AS/7KyD4/lsofo6kewfNnu8SqMfAm7QQggh1AFJUikE+/PbtQSbQ3ait9Ypho6OU15aQevaDYB4fzHgWhUx2m/xLxSo/kDPSvS/6WkxvHs3akVZGQdA8LJJsr/lKDUKAND0zAzpF9NzQK3+ZxSV/gPlKQBAU+jZnc3ifrsd6KZu66vPnlmz6Hl21tNH90ulf61hZ6dldjZy708DAIq8vedRe4DSl1+3Z8CYpjI+9N/y0fTga7JTLw6FZ4FpRY9ixvT6GwAAWKVF6k94RlrzNDVLefgmHRoAgNQgKwvZ4McZ0AcoqjraTR+DaCJdE6T55Yv90H/l4ftVJEhImyz4yxyAbuv7MnyeDACwcq+tnOzktK3/XS8DgTdaXyeSoJv/iNnbOU+FZ+muTbaPOj78VAQhhFDHI6mmoVL1Lq+EAADg5L4t6Kqm3ujEwo+JnRmbWDjYZCgQr0MDYntNcbE11NfX1zdxdLGFS/7nC7qYmvV/kxif+2UHDCdzt62ec8D7hoesSSaTWXv6vqas7BNdusFtKYXy5f6h4RF94l3gbAunU4Wq5g5LvIO2/yRPAQApOq26qqq2RU5uzJmw+4WNA6fqMWZoR4ddDg/5V206Y4AkSHWWkp96NCuvVn5p5ePNPHssIS1NryqvqIuDU15eRZOWAgAJKpXa5G1OU+kiuvHNF/9K6RpjGDbKGY9Sm3wW1FeJ/EGzx690U82j7wEuRRBCCHVAMqPGGKaHBT5nAVQ8CL70xnysuZSoYxI9VmH6uTW/Hiia6uGsxckIDEwxdPVa+mutRZ5rGT2jjgfm6sxZODbHZ9GuO/lsAOB8vLt3qc/jflaWig1vCdhPQ/Zfec0mSpJ8/eI17Sf0FS4E9suUx0xDpz+WuEwxpceG3iqsZrMpejaje9w+eiS1Ajj5N7cvWhX2giIpKSlRUVrKfSSAqjljxoD4zV5ROjNm6FCBNmT8WJkb+3bFFxJQlXmcoa055wLPJmmG40ZTwvf6PSoHojjp779vdLGyHdxa6XoFenzypWrouufgoUOHDh3c42rY4LMPTnlm+Ilref2GGkgBVL5/8eJ9pXDJ+0GzNySHT2k8MPIjwKUIQgihDoiq7bb9d8l91oONjYdMCuy9YctMpR/jLxrrqru8ZB2auvs1FgBURy/tTZPs1Ikmo23nlWa858ohRyXiYcDZ5+YzHXvVb4yhmbgw+t4/eSJdydkvaLHUsYk6qtp6OupadgcI1wC/eb2/yh9VSaXId6yGku6siL5bj68QvNHoC5qx66oJuZ4GvfsOGL7ozgBb/eKXLyvow9efWCN/ZlIfBXXjlbmOR3ZPl5cyHjvylecAgzVcZSkqU2ca5OcPmTlNgwIAUiM3BW3RiZw9UFFR03oPa67/9im82+xqsy1ghezpyX3klfr/76rmxuBtYwRtLWpeulIJNaHy9XloOnWidVYZvuaZ+a4jy4ZIAvPfVRbDVkcJ+VUZP2T22PxL8z8xj74bEq3+1a0SEq1f5zcTq2AwniaJWzxIMBwv1BKtM3+YBZkZ7yiq/XQUWnpQRNzmczvEwyzMyXxdJqnct59a169vq6tjfxu8kH4yZac5rU1j6EgE5UsAzgsft0PGfjstf+xMfmP2kGi05+9DPLaOEEKow5JS1NVXFHUQHZWUgvYQBVEH0YF8W744rx5JTf7F4sdeh+BsQ/yJ1cq0NN5ngZt3dP3zAonci55u6y+8Fv1eQaLwxnavc2IQSB0xiocoehCwaYmb229bQ9NE/Ex/cSO+8xm1JRx39F2gak1a/vv4Xvh+ZYtRtaf+6tAHE4kQH2K1FJExHaubs8Ptj4sFBABUP93vuviy7BirXiJ+SjtRlLDDaY5XeFqJeHx0L07xsNN9HB18/tOyHCb3YJ2905EXeLv1hZjOZ9TGcNzRd4GqMXaBm5WqWN0kIIS+Q+L1W4Y2+He/TX2vePwW8rY8ccvcHZ9+9d8yWlakIbGS9zmMmHujk0Z3CZHG8Zl4xcOK9/N7P23vP8vmzN9wardt6j/HHuERsy/EcD6jdoDjjhBCCAlJ3D4ylNT9+eCOf4cvd7Drmqew/tYqI1E/m5GkajmfuTvh/ar+60UcSS2xiod4l5L6YcDPhnQAAGmjoX1fXX9cDkY9RB2X+BC7+YzaBY47QgghJBRxW4oAUDWdN7j5mvxV6RE9T1f04UkZTp4OwLom6jg+E6t4iOKS8i6yMrWjROku040sKykFwKUIFzGbz6id4LgLR0JCHD7e/QLjQQihdiZ+fyPZ2f5rj5aamLCPr9k7++aqIS19PiNqQ5JUCsH+vCWLYHPITnQcr4ZwPv+YcNyF86M9PLdZxC0ehNCPoz3fBxGvsyIAzIfe89blOPxz+eIBx/fb3f66VyXqiBB/kmoaKlXv8koIAABO7tuCrmrqMqIOSqzgfP4x4bgjhBBCQhGvpUhp7Ib5uyrdjmy3k1ecuPOf2RX73D1jSkUdFeJLZtQYw/SwwOcsgIoHwZfemI81x03xX+B8/jHhuCOEEEJCEqOlCFEQ/ofb0c5Lj2wY0RUAQHbs1sO/UI8uWH2tSNShIT6o2m7bf5fcZz3Y2HjIpMDeG7bMVBKjGSVaOJ9/TDjuCCGEkPBafyuqWG1vFatgvtt4mAWZGe8oqv10FFq6IV7c8oMEw/FCLSFu86dDxNPWG7jFKgMIIVFpz9+HuBRpVxiPYOIWDxIMxwu1hLjNH4wHIYRqtefvH9xOgxBCqAMjCm9s9zr3miPqOACAKHoQsGmJm9tvW0PTytumhdzz6+Z5xzR4EAJRGLHRhcFgMJyc/uc8133plhN38hp82SwnJ2iFi/v+e0zuF6tzow+ucLIbYWJsYeu8LjBVmONM7Genlv9xOqOpVAt5mUBEcfqjHFaL6mKm+S+wNTMeueKq0GPxbalsOpdE7vl1Lozaip3n/bLa91pOi59l8X1lSGBp9J3DpQhCCKGOiihK2OE0xys8rUT0nx+w030cHXz+07IcJvdgnb3TkRdtsDoiyp5cD4t9UdPgxcqMW+dTJY2traxGWxrpUFO8J5k6HHpWf4PITj2xKywhaqfvleL6l577TRvGOFE8dL7X7t1rpynELbee4v24uqnWJaR6qKj0aHInrpCXCVIe6Dpqza2KltTFivbdeENmtre3m3kXoQs1P5VC5ZIoe3L9XEaX4dbWVlYjDJTzT8+xWhCaT3xDr+p9ZxniXxp9/8Tve0UQQgghIbCS982YfaBUU6O7OHwTICvez+/9NP/ryyzp4Kj4euD6Y4/mbTFqpz+yFCXTWa7uahQAgEUuRk5mS73CZpydJQcArMRToRUTNi/JWH4s5O3Un9UoQBQEr/VMt/NPPjpRDgBgpKVp90LLPaFJHvoj6m9piXd3QpK6jh5YHHPnrfSgMXZGyjSQkJJTU5OQkiDe3QlJ7m4zpDwmJrNGfdg4a90Gj3Fv6jLm2/tRMenva7r1MR87Sk+WAgDAKX4aHZn0mlQ3t7PWk3gYHv3i09s7py+YzjGXU1OTkCp9eP5i/iDncbo0AOC8jApIkZ3sYNQDip/diryXS6qZ2loPlKN+CYHzNi4oPL2MrlGSXUIdSQF2QerNqAf5FA1TG6sBclQg8uLOJksbKfx3P09l5EQLDa47+Walkn8uV+iPaDhEVLXhLu7zZAAA5g0u7D/7enL19Am04pyHLyS0jfrINri2ORny4J8hR6MehPhmiHu21eJRGv0IcKARQgh1SCRVy/nM3YglBp1FHQkAEO9SUj8MMDakAwBIGw3t++rx47bZpNUUiqrDbDvJ+MgEAACovHXqosRExtRZs4yTT57K4ADAp9irMXSb6TZy9SUUZwVkJG1pcGfIzgrZ4OE8yXnX7Ye3faYb2e5IZgI7K8RrY1g2m50VsmEJY/z0zeGJtw/NM7NcFddgu5Ggy4iPER6mZm5Hoh89jDow39xiWVQFQNX97TaDbP88l5AYtmqs6ZzgVxXFpSyCVVZYVFmdEeK1MSybVpWwa+Hu21UAANUJvou3xVVKV6f+PdnYfsOFxLuXvCYaTfJNZXHFUF32oZTJqS7/kF/KLLuzyVrf3utCQnzIaht9+90PqqDmefC6BQ6MP0MjI+JeNNhgxDuVTD6p5J/LxpXVVBYXFhYW5r9+fPncXRg+ZigNoDph58xZ3onclzU3Q3XZ5pUhZjtmiN9kE2628S2NfgS4FEEIIdQhSRlOnm7I/U6vKBHFJeVdZGVqPwWhdJfpRpaViOrrZCSVlOVLCwoAAIojTkfIOjqZSan85DT6RcDxpGogSt/lM5U1NJr8wIYoV3cLuXxo79HrF90rfHZc4N40Q5T2dr909fjBk+F77AsjIzP4VfH1ZTU5L5n2PlfOH963/1S4t31xbEw2u+jiDp8ytytxIYcPh0QecaG/KTFwtteh9xm/zHVYj9q7FJoZw1HmRujtSgBm/NmrNAcn87IQr63FbhExwX5+QTFX3Yq2bb1QUt8uVWvCYocBXTSsF6+ZJhO40ZfjERkXcuToufjLcz9s2xAIAEDWmCw7H3TSf+UoQbuT6lLJ5J1K4XMJwLq9Zqienp5ev4GmjBMsq5+M5SgAUhP8srMOjue+rrkZqismXIa+NNNEht41N0PQ4gzxKo1+CLhBCyGEEGoxSSqFYH9++5hgc8hO9JY+3/xbccpLK2hduwHYOldxAAAgAElEQVQQ7y8GXKsiRvst/oUC1R/oWYn+Nz0thnfvRq0oK+MACF7GSfa3HKVGAQCanpkh/WJ6DqjV/4yi0n+gPAUAaAo9u7NZLD5VNLqMbu62vvrsmTWLnmdnPX10v1T61xp2dlpmZyP3/jQAoMjbex61Byh9+XUsBoxpKuND/y0fTQ++Jjv14lB4FphW9ChmTK+/AQCAVVqk/iSHDY13xNU8Tc1SHr5JhwYAIDXIykI2+DFAH6Co6mg3fUSiLpU0PqmcIM0vl+yH/isP368iQULaZMFf5gB0W9+X4fNkAICVe23lZCenbf3vehk0vgmjm7Zhhnj2kVeGMpqbIX6TTcgM7ZynwrN01ybbRx0ffiqCEEIItZSkmoZK1bu8EgIAgJP7tqCrmrpM08XaAjszNrFwsMlQIF6HBsT2muJia6ivr69v4uhiC5f8zxd0MTXr/yYxPvfLDhhO5m5bPeeA9w0PUpNMJrP2aQA1ZWWf6NINbksplC/3DwIeGfDVZcS7wNkWTqcKVc0dlngHbf9JngIAUnRadVVVbTSc3JgzYfcLG5/opuoxZmhHh10OD/lXbTpjgCRIdZaSn3o0K69Wfmnl4808T+ZISEvTq8or6mLklJdX0aQBACSoVGqTt0CfU0nnk0qiG79cCqiUrjGGYaOc8SiV13OihM1Q45LCZIhnPLwyJNXcDPGbbPwz9L5Bt/mUbqp59D3ApQhCCCHUYjKjxhimhwU+ZwFUPAi+9MZ8rLlU+0fBKkw/t+bXA0VTPZy1OBmBgSmGrl5Lf621yHMto2fU8cBcnTkLx+b4LNp1J58NAJyPd/cu9Xncz8pSseEtAftpyP4rr9lESZKvX7ym/YS+LQ+P/TLlMdPQ6Y8lLlNM6bGhtwqr2WyKns3oHrePHkmtAE7+ze2LVoW9oNAkJSUqSku5jwtQNWfMGBC/2StKZ8YMHSrQhowfK3Nj3674QgKqMo8ztDXncG3Q4kIzHDeaEr7X71E5EMVJf/99o4uVrVCxcqcS+KTyFejxyaWkoeueg4cOHTp0cI+rYYMlEqc8M/zEtbx+Qw2kACrfv3jxvvIbMiT5TRni2VFeGRrc3Azxm2z8M6TKlaEhOXxK44GRHwEuRRBCCKEWo2q7bf9dcp/1YGPjIZMCe2/YMlOpbf7Csq66y0vWoam7X2MBQHX00t40yU6daDLadl5pxnuuHHJUIh4GnH1uPtOxV/3GGJqJC6Pv/ZMn0pWc/YIWSx2bqKOqraejrmV3gHAN8JvX+6t4qUoqRb5jNZR0Z0X03Xp8BY/NRM1GM3ZdNSHX06B33wHDF90ZYKtf/PJlBX34+hNr5M9M6qOgbrwy1/HI7unyUsZjR77yHGCw5v6X5xZTVKbONMjPHzJzmgYFAKRGbgraohM5e6Cioqb1HtZc/+1TZHm22dVmW8AK2dOT+8gr9f/fVc2NwdvGCAqxealMpajxzmWjemuHrVMnWmeV4Wueme86smyIJDD/XWUxbHVUSzLEVbbpDPHuMo8MCdqY1cwMEXwyxDXb2PxL8z8xj74b+G3r7QrjEUzc4kGC4XihlhC3+dM68TALMjPeUVT76Si09KBIO+SHWZiT+bpMUrlvP7WuXy+bqmN/G7yQfjJlpzmtTWP4XgjKpQCcFz5uh4yP77Rsy9jEwzdmCIlGe/5+xmPrCCGEUCuRUtTVVxR1EMKSUtAeoiDqIL4T35ZLzqtHUpN/sWiTiMQNzjbEB34q0q4wHsHELR4kGI4Xaglxmz8YTwOc3H/9b1AnzrdSxXewEfrhtOfvH1yKtCuMRzBxiwcJhuOFWkLc5g/GgxBCtdrz9w++24EQQgghhBASAVyKIIQQQgghhEQAlyIIIYQQQgghEcAnaCGEEBINCQkJUYfQAMaDEELtDJciCCGEREOsjmWL2zFxcYsHIfTjaM/3QXCDFkIIIYQQQkgEcCmCEEIIIYQQEgHcoIUQQgh1DG29awK3hCGE2hkuRRBCCKGOAZcKCKHvDG7QQgghhBBCCIkALkUQQgh1YEThje1e515zRB3HZ20aD5F7ft0875iqhg1GbHRhMBgMJ6f/Oc91X7rlxJ08NvcFnJygFS7u++8xuV+szo0+uMLJboSJsYWt87rA1FIhWmc/O7X8j9MZTXVNyMsEIorTH+WwWlQXM81/ga2Z8cgVV8uFbvWbUtl0Lonc8+tcGLUVO8/7ZbXvtZyqr69pPnaa/29/hr7izk1bdUBgaYRaBpciCCGEOiqiKGGH0xyv8LQS8di41NbxEGVProfFvqhp8GJlxq3zqZLG1lZWoy2NdKgp3pNMHQ49q78DZaee2BWWELXT90px/UvP/aYNY5woHjrfa/futdMU4pZbT/F+XN1U6xJSPVRUetBb6TJBygNdR625VdGSuljRvhtvyMz29nYz7yJ0oeanUqhcEmVPrp/L6DLc2trKaoSBcv7pOVYLQvOJb+gVN05e0uUbX820NuoA/9IItRieFUEIIdQhsZL3zZh9oFRTo7t4fBOgCOOhKJnOcnVXowAALHIxcjJb6hU24+wsOQBgJZ4KrZiweUnG8mMhb6f+rEYBoiB4rWe6nX/y0YlyAAAjLU27F1ruCU3y0B9Rf9NPvLsTktR19MDimDtvpQeNsTNSpoGElJyamoSUBPHuTkhyd5sh5TExmTXqw8ZZ68pwB9PUZcy396Ni0t/XdOtjPnaUniwFAIBT/DQ6Muk1qW5uZ60n8TA8+sWnt3dOXzCdYy6npiYhVfrw/MX8Qc7jdGkAwHkZFZAiO9nBqAcUP7sVeS+XVDO1tR4oR/0SAudtXFB4ehldoyS7hDqSAuyC1JtRD/IpGqY2VgPkqEDkxZ1NljZS+O9+nsrIiRYaXGudZqWSfy5X6I9oOERUteEu7vNkAADmDS7sP/t6cvX0CVLcV3ydF375Y71Nun77OUdnBK3lc0G4yVCLR2mEWgHOJIQQQh0SSdVyPnM3YolBZ1FHUktM4qGoOsy2k4yPTAAAgMpbpy5KTGRMnTXLOPnkqQwOAHyKvRpDt5luI1dfQnFWQEbSlga3nuyskA0ezpOcd91+eNtnupHtjmQmsLNCvDaGZbPZWSEbljDGT98cnnj70Dwzy1VxDbYbCbqM+BjhYWrmdiT60cOoA/PNLZZFVQBU3d9uM8j2z3MJiWGrxprOCX5VUVzKIlhlhUWV1RkhXhvDsmlVCbsW7r5dBQBQneC7eFtcpXR16t+Tje03XEi8e8lrotEk31QWVwzVZR9KmZzq8g/5pcyyO5us9e29LiTEh6y20bff/aAKap4Hr1vgwPgzNDIi7kWDHUy8U8nkk0r+uWxcWU1lcWFhYWH+68eXz92F4WOGcq8keOWFZ5rL4zxHGTP2RcadX+3gcaW4iU9WWtCBRp9E8SqNUCvApQhCCKEOScpw8nRD7vfCRUxs4pFUUpYvLSgAACiOOB0h6+hkJqXyk9PoFwHHk6qBKH2Xz1TW0GhyVwRRru4WcvnQ3qPXL7pX+Oy4wL0rhyjt7X7p6vGDJ8P32BdGRmbwq+Lry2pyXjLtfa6cP7xv/6lwb/vi2JhsdtHFHT5lblfiQg4fDok84kJ/U2LgbK9D7zN+meuwHrV3KTQzhqPMjdDblQDM+LNXaQ5O5mUhXluL3SJigv38gmKuuhVt23qhpL5dqtaExQ4DumhYL14zTSZwoy/HIzIu5MjRc/GX537YtiEQAICsMVl2Puik/8pRgvZv1aWSyTuVwucSgHV7zVA9PT29fgNNGSdYVj8Zy3HfgPHIC6/8Vb8N2HqQ/se1m6eOBPwbvECz6T1erdYBXqURag24QQshhBD6nnDKSytoXbsBEO8vBlyrIkb7Lf6FAtUf6FmJ/jc9LYZ370atKCvjAAheNkn2txylRgEAmp6ZIf1ieg6o1f+MotJ/oDwFAGgKPbuzWSw+VTS6jG7utr767Jk1i55nZz19dL9U+tcadnZaZmcj9/40AKDI23setQcoffl1LAaMaSrjQ/8tH00PviY79eJQeBaYVvQoZkyvvwEAgFVapP4khw1Gje5qap6mZikP36RDAwCQGmRlIRv8GKAPUFR1tJs+RFKXShqfVE6Q5pdL9kP/lYfvV5EgIW2y4C9zALqt78vweTIAwMq9tnKyk9O2/ne9DD6HSzdtlBde+WM9S83sabxekwoAktojLXqFtU8Hds5T4Vm6a5MJRKhJ+KkIQggh9B1hZ8YmFg42GQrE69CA2F5TXGwN9fX19U0cXWzhkv/5gi6mZv3fJMbnftliw8ncbavnHPC+4ZvsJJPJrD0TXVNW9oku3eDGnUL5cv8g4Ij+V5cR7wJnWzidKlQ1d1jiHbT9J3kKAEjRadVVVbXRcHJjzoTdL2z8bj9VjzFDOzrscnjIv2rTGQMkQaqzlPzUo1l5tfJLKx9vbrwOAQAJaWl6VXlFXYyc8vIqmjQAgASVSm3yFuhzKul8Ukl045dLAZXSNcYwbJQzHqV+eRAVz7zwyJ8EXarTp4q6zpAsZnVTT0f49g40mAz8SjeVP4SEgJ+KIIQQQt8JVmH6lZ2/Hiia+o+zFidje2CKoav/0l81a9/xrjb479y444G5jDkLx+5fs2iXxcnlw5UkOR/v7l3q87jfRkvFhrfm7Kch+6+4HZrcPcXXL17Tfk1fKGtpeOyXKY+Zhiv/WOKiwnx+fO6twuqZbIqezegeR48eSbX5bWDlze2LVn1cP268pKRERWkpB7rVF6VqzpgxwHezF6GzeIMOFShDxo+VmbZvV/yI9SO6ZB+fY7Neem/6SQfZRk3SDMeNprju9fvZzGMIO+nvv290sTrT7FQCn1S++p8Hn1xKGvbec9D1c7efXPlSL6c8M/zEtbx+0w2+HFrnlRdeMdGGTrajz/nnWPqIn3XeBh+8/Jozt606oGrUe49RXQc4z/5ayLv0733EYEMi6uDwUxGEEEKo42BddZeXrENTd7/GAoDq6KW9aZKdOtFktO280oz3XDnkqEQ8DDj73HymY6/6m0WaiQuj7/2TJ9KVnP2CFksdm6ijqq2no65ld4BwDfCb1/urOwKqkkqR71gNJd1ZEX23Hl9h0ArvXdKMXVdNyPU06N13wPBFdwbY6he/fFlBH77+xBr5M5P6KKgbr8x1PLJ7uryU8diRrzwHGKy5/+W5xRSVqTMN8vOHzJymQQEAqZGbgrboRM4eqKioab2HNdd/+5TG6xAAgK422wJWyJ6e3Edeqf//rmpuDN42RlCIzUtlKkWNdy4b1Vs7bJ060TqrDF/zzHzXkWVDviSUV154RtfFatOp5V2OjNNU1JpwvFpTmcdCoJkdIPh0gGsysPmXFpRJhIQjQZKt/PBzCYnWr/ObiVUwGE+TxC0eJBiOF2oJcZs/P2A8zMKczNdlksp9+6l1/fqNyerY3wYvpJ9M2WnO+5GxqCFBuewQOnwHUKtqz9+HuEELIYQQ+hFJKWgPURB1EN+JDp/LDt8B1GHhUgQhhBBCDVG1Ji3/ndoLbxIQQm0LN2i1K4xHMHGLBwmG44VaQtzmD8aDEEK12vP3D24IRAghhBBCCIkALkUQQgghhBBCItAmG7Rat0KEEEIIIYRQu+nYT9ASn+2t4rbXFuMRTNziQYLheKGWELf5g/EghFCt9vxcATdoIYQQQgghhEQAlyIIIYQQQgghEcClCEIIIYQQQkgEcCmCEEIIIYQQEgFciiCEEEIIIYREAJciCCGEOpzSeJ8Fbt7RxZ//n8i96Om2/sJrjiiDIooeBGxa4ub229bQtPK2aaEwYqMLg8FgODn9z3mu+9ItJ+7ksQEA2M9OLf/jdIaw3Wc/Of77ysDsBpez0/x/W332RVMlBTZEFKc/ymEJGYQwcdbG1LxRZab5L7A1Mx654mrbDEKbYKf5//Zn6Ku2mL88BoXvPPqMkxO0wsV9/z1mg2LVudEHVzjZjTAxtrB1XheYWvpNjbdEM+d5U4jCG9u9zon2twbCpQhCCKGOR8Z0rG7ODrc/LhYQAFD9dL/r4suyY6x6UUUXEjvdx9HB5z8ty2FyD9bZOx1p5g20cCozbp1PlTS2trIabWmkQ03xnmTqcOgZGySkeqio9KALWw0nP/lKxKMPDSLk5CVdvvb4YxMlBTZUHug6as2tCmGjECLO2pia9UxjVrTvxhsys7293cy7tF4kbY2Tl3T5RlpJGzy9meeg8JtHddipJ3aFJUTt9L1Sv9gH9nO/acMYJ4qHzvfavXvtNIW45dZTvB9Xf0PjLdDMeS4QUZSww2mOV3ibZB01Q5t8rwhCCCHUpmiDf/fbFGXp8VuIyeHefnN3fPr18pbRsiIMiBXv5/d+mv/1ZZZ0cFR8PXD9sUfzthi1wR9ZipLpLFd3NQoAwCIXIyezpV5hM4JGyampSUhJAEDlf4lRdzKK6VrDx1rqyFAAAJhv70fFpL+v6dbHfOwoPdm6NyHJTy9jQu4XyBmMGjlIkdagDaL42a3Ie7mkmqmt9UA57vWdhFRtQ8S7OyHJ3W2GlMfEZNaoDxtnrdut5EF49ItPb++cvmD6u4N+ozqIvLizydJGCv/dz1MZMYxIbFhaBvgH2jA0rmpGTrTQ6NSgGXgbFxSeXkbXKMkuoY6kCAyicWkqNO5WbWCc4qfRkUmvSXVzO+v+PSgCU8SzJ/wqZr1Nun77OUdnBK2ZPaUC77FuGJfEV4PS1Dw6O0sOAFiJp0IrJmxekrH8WMjbqT+rUQCIguC1nul2/slHJ8oBAIy0NO1eaLknNMlDfwSdRxgAAARX4/Mc9GXYBak3ox7kUzRMbawGNE4ZKy/pxq1nTI0RljJp0RWmM0eoUhqlkf/0kxH0b6YxVvK+GbMPlGpqdMev5RY5/FQEIYRQRySp+/PBHcaxyx3s5h5TWO+/ykhKlNEQ71JSPwwwNqQDAEgbDe376vHjtt8fRFF1mG0nGR+ZUJEV4rUxLJvNStpobfnridiUxDNLLYe6nssniI8RHqZmbkeiHz2MOjDf3GJZVO171ERekPvMzVejz68fbzBuRzLXThxm6t+Tje03XEi8e8lrotEk31Tu/TXsuobYWSEbljDGT98cnnj70Dwzy1VxVTVVxaUsglVWWFTJq46a58HrFjgw/gyNjIjLalwa+AX6Fe5qXlQ0aqa67EMpk1Nd/iG/lPlJcBA8SgOPbgFU3d9uM8j2z3MJiWGrxprOCc4lBKaIZ094Vlwe5znKmLEvMu78agePK8VEs3oKjceaR9q5B0WIeQQAAJW3Tl2UmMiYOmuWcfLJU7W7oT7FXo2h20y3kasvojgrICNpywg6jzDqe/ClcaL8ziZrfXuvCwnxIatt9O13P6hqEEHFHS8ro1k+kfHhXpOtHBd6hmTW8Ekjv+nHXVvVGcdunSS5dPnpZMPZRFK1nM/cjVhi0FlAWlA7IVtbW9T5zcQqGIynSeIWDxIMxwu1RKvMn5pHnoadJHWXxzNFHU9NynpD9flXPtX+X8Xpn2RG7n7Z6vFwXu4Z2dXK9w3nS7vJa4d0meCfH+Oh229p3KeXu0f2tN2XUUmSnLyow/9EvmIz7+13XxXymkOSJFke6qRkuP5hDcmMWqglZ+/3H4ckSWbyOkPFaYFFzOsLNIesSeIUnHRQGvbX0xqSJMmaJ1vMlGcEFX+JgFXbEIsV46Eja384j0OSZHmYk7LBupQasuTYxO7jDn8gedbBjFqoJTc1oKiulq9Lk7wCrYuphisFXNXwDvVTmJPSiJ3Z7KaC4PlzXoF9POOoaOT5kEWSJOfD1Y2uO6KyBaaIV0949Zj15h+7niN3ZbBJkqx5um1YN4P1D5vR04+NxrqaZz4+D4pQ84gkSbIohKFqsDa5hiQ/BE5XGrAigUWSnLe+Vl1MNj9h85iSjaYc10/rZ8Tr/Tbyw/56wiJJkvyUvG6o/IQj3JW8+cdO0conm02SJDvH11pWe8ltJp808p9+zceMcOtltOHxtxT93rXn33fcoIUQQqhjYmf7rz1aamLCPr5m7+ybq4a0zhbybyRJpRDsz5vtCTaH7ERvj3g45aUVtK7d6rb3UDSmLZl25hd9lV0Dho0ZP819sTqV3tttffXZM2sWPc/Oevrofqn0rzW18fYbMUqNAgD0QRZD6ZfSstmjAACA/SwlrehRzJhefwMAAKu0SP1JDoBR46YpKv0HylMAgKbQszubxfrybjjPOtiKQFHV0e7CpzTQzXkHyqPhump4h/qToCBAUXBptmqjwNjZaZmdjdz70wCAIm/vedS+Ovb3nwWliG7KsydfV8x6lprZ03i9JhUAJLVHWvQKa1ZPX2q4fzXWJM8ejW/OPAIg3l8MuFZFjPZb/AsFqj/QsxL9b3paTJDu3o1aUVbGAfhqYxWPKcej+pqnqVnKwzfp0AAApAZZWcgGP+b+cVrKMxWLLb2pAEDtNcpSZ38R3zTWN8x3+gFwMq8fu/WS/eUMCLW39Xx7PbzlFU+4QQshhFBHxHzoPW9djsM/ly8ecHy/3e2ve1VCFGozkmoaKlXv8koIAABO7tuCrmrqzdy+/i3YmbGJhYNNhn5e9VB7Td1/7/XL2MMeVl0SvCa4HHrxJnC2hdOpQlVzhyXeQdt/kv/8Z5+srCivvVWrqahgdenW7fOeeanOUvJTj2bl1covrXy8mcc6BACAQvlyD9Hw5C+vOiQBJKhUKoVPaeIdn0Abq69GcKh8fiqwtCSPbknRadVVVbVH/Dm5MWfCkj9JCWqXb0++qliCLtXpU0VFbeZIFrO68elpgbE2GutXnfj0qGmf5xEQr0MDYntNcbE11NfX1zdxdLGFS/7nC4hupmb93yTG53550gEnc7etnnPA+8Zh8Hheg4S0NL2qvK6vwCkvr6JJc/9cqjP9U0Vl7WqCqKr6JCiNn/GffsD58PxuAre7zwvYgMQULkUQQgh1PKWxG+bvqnQ7st1OXnHizn9mV+xz94wR4uGibUZm1BjD9LDA5yyAigfBl96YjzVv48MrrML0c2t+PVA01cNZq+6daPajDaaajqfL9MbN+X3Z9MH0qvKKlymPmYZOfyxxmWJKjw29VVjNZhMAAOzn545cy2MTxXf3HoztNW68Tl0VtCHjx8rc2LcrvpCAqszjDG3NORdKhIxIUlJSoqK0lPMtdbD5Bcqf4GaaCkLYICX1bEb3uH30SGoFcPJvbl+0Kix3kL2gkrx6wjP8oZPt6Nf+OZZeSTAzgw9eFvBMWV6xfmg01gTPHn0eFL6Vc88jTkZgYIqhq9fSX2st8lzL6Bl1PPAV6M1ZODbHZ9GuO/lsAOB8vLt3qc/jflaWco3C4H4AcP2MMBw3mhK+1+9RORDFSX//faOLlS3XZXTjCdac8H+CMpnAenHuwLkstvBp5JmvYb/7nzrN5dgyS5EeJUOC4FIEIYRQB0MUhP/hdrTz0iMbRnQFAJAdu/XwL9SjC1ZfKxJZTFRtt+2/S+6zHmxsPGRSYO8NW2Yqtc1f2Oropb1pkp060WS07bzSjPdcOeRY35LkkEU73AhfKw0lVa0x/jKrd/0yxMx11YRcT4PefQcMX3RngK1+8cuXFQAAknoDOH+P0VQbNPvWYJ8zqwzq3z2XGrkpaItO5OyBioqa1ntYc/23TxH2yWRSxmNHvvIcYLDmG+qgGfMJVFB7AptpKghhg6QPX39ijfyZSX0U1I1X5joe2T1dTWBJXj3hGX4Xq02nlnc5Mk5TUWvC8WpNZQFPouYRa89GY92vC6+46gflqyp5zSPiYcDZ5+YzHb88FJtm4sLoe//kiVRCzdkvaLHUsYk6qtp6OupadgcI1wC/eb1pjcPg6kd9409ttgWskD09uY+8Uv//XdXcGLxtDHcwXW22+ruxdliqKmhPPsPSUKDRaHRh04g6OonasymtWaNE69f5zcQqGIynSeIWDxIMxwu1hLjNn9aJh1mQmfGOotpPR6GlB0XELT8IAQAwC3MyX5dJKvftp9a19dbalanhF4qHMEb1pgKUhzB0fQ3jYlbqiPBbgn547fn7B5ci7QrjEUzc4kGC4XihlhC3+YPxICQqrLg/DGcl2a1fPKLrq/Pb976de/PfPwbiKXMRas/fP2K1Qas03meBm3d0/Xd7ErkXPd3WXxCwfbK9EIU3tnudE4NA6mA8HYH4zmfUlnDcEUKoeeiWWyNOzpB6GBEeW6C/4fqFZbgO+YGI1VJExnSsbs4Otz8uFhAAUP10v+viy7JjrHqJ+CM6oihhh9Mcr/C0EvF4fwrj6SDEdD6jNobjjhBCzUXXHLt4m9+JE4d3rZw+pIdY3ZyiNiZeo00b/Lvfpr5XPH4LeVueuGXujk+/+m8ZLexxubbBSt7nMGLujU4a3SWEuLrtYTwdiBjOZ9QOcNwRQgghIYnbJ2CSuj8f3PHv8OUOdl3zFNbfWmUk6qevkVQt5zN3J7xf1X+9iCOphfF0KGI3n1G7wHFHCCGEhCJuSxEAqqbzBjdfk78qPaLn6Yo+PCnDydMBWNdEHcdnGE8HI2bzGbUTHHfhSEiI18epGA9CCLUz8fsbyc72X3u01MSEfXzN3tk3Vw1p6fMQERIlnM8/Jhx34YjVE6LE7YlV4hYPQujH0Z7vg4jXWREA5kPveetyHP65fPGA4/vtbn/dqxJ1RAh9O5zPPyYcd4QQQkgo4rUUKY3dMH9XpduR7XbyihN3/jO7Yp+7Z0ypqKNC6NvgfP4x4bgjhBBCQhKjpQhREP6H29HOS49sGNEVAEB27NbDv1CPLlh9rUjUoSHUbDiff0w47gghhJDw8NvW2xXGI5i4xYMEw/FCLSFu8wfjQQihWj/st60jhBBCCCGEfhS4FEEIIdThlMb7LHDzji7+/P9E7kVPt/UXXnNEGxYAEIU3tnuda6tASv/9azajAedVZ18K3Rj7yfHfVwZmN7ieneb/2+qzL5qog/3s1PI/Tmfw+SlRnP4ohyVsFELEKVRMX2Gm+S+wNRGwvaUAABMESURBVDMeueJqeetF0tbYaf6//Rn6qi2mC49BIQojNrowGAyGk9P/nOe6L91y4k4em/sCTk7QChf3/feYDYpV50YfXOFkN8LE2MLWeV1gqhBn31p5Rgiefs3BzLnmu/qXuXMXrNwbkcMUogBqc7gUQQgh1OHImI7Vzdnh9sfFAgIAqp/ud118WXaMVS+qaMMiihJ2OM3xCk8raZutDQQz6/a5FNLAyrqelal2d6Efu8nJT74S8ehDgxtfTl7S5WuPPzYRsIRUDxWVHnweS10e6Dpqza0KYaMQIk6hYmqIFe278YbMbG9vN/MurRdJW+PkJV2+0SbTheegVGbcOp8qaWxtZTXa0kiHmuI9ydTh0LP61Qg79cSusISonb5X6hf5wH7uN20Y40Tx0Pleu3evnaYQt9x6ivfj6m9ovAUETj/hEXlBc60WXGIPsbUdUnNpgfW84HdE6wSIWkD8vlcEIYQQagpt8O9+m6IsPX4LMTnc22/ujk+/Xt4yWlakIbGS982YfaBUU0P4pcG3oCgYTXN11+ZedBHv7gQnd7cZUh4Tk1mjPmycta4MAAAw396Pikl/X9Otj/nYUXqydW8+kp9exoTcL5AzGDVykCKtQd1E8bNbkfdySTVTW+uBctxNSEjJqalJSAHx7k5Iw6a6lTwIj37x6e2d0xdM5znoy3xdB5EXdzZZ2kjhv/t5KiOMiMQ0oQNtGBpXNSMdLTQaNgNv44LC08voGiXZJdSRlEYdaVB6ooVGp69/3qhbtYFxip9GRya9JtXN7az796AITBHPnvCrmPU26frt5xydEbRm9pQKAFD5X2LUnYxiutbwsZY6MpTGQyfx1aBwzx8l01mu7moUAIBFLkZOZku9wmacnSUHAKzEU6EVEzYvyVh+LOTt1J/VKABEQfBaz3Q7/+SjE+UAAEZamnYvtNwTmrRCfwSvMAAACK7Gf3fQB3ZB6s2oB/kUDVMbqwGNU8bKS7px6xlTY4SlTFp0henMEaqURmnkP/1kvq5OkJKo8/H9V93buVCNAjONK+6ZhURVzXLu2pwqUOvDT0UQQgh1RJK6Px/cYRy73MFu7jGF9f6rjKREHBBJ1XI+czdiiUHn9m6ZnRWyYQlj/PTN4Ym3D80zs1wVVwXExwgPUzO3I9GPHkYdmG9usSyq9j1qIi/Ifebmq9Hn1483GLcjmWuLCjP178nG9hsuJN695DXRaJJvKqthE14bw7J5NVVTVVzKIlhlhUWVRFXjOmqeB69b4MD4MzQyIi4rQ/hAv8JdzYvGoVaXfShlcqrLP+SXMj8JDuJFReOf88ogVN3fbjPI9s9zCYlhq8aazgnOJQSmiGdPeFZcHuc5ypixLzLu/GoHjyvFRLN6CqykjdaWv56ITUk8s9RyqOu5fILH0HEPCv83/imqDrPtJOMjE5gAAJW3Tl2UmMiYOmuWcfLJUxkcAIBPsVdj6DbTbeTqiyjOCshI2jKCVxj1PfjSOJTf2WStb+91ISE+ZLWNvv3uBw2/ZqnijpeV0SyfyPhwr8lWjgs9QzJr+KSR3/Tjrq3qjGO3TpJcuvx0kns2ybmEvrmxuHYZVpGV/a6HsnInvslB7YZsbW1R5zcTq2AwniaJWzxIMBwv1BKtMn9qHnkadpLUXR7PFI94SJJkRrj1MtrwuKZN4uG8/2csnS6rql5P02pLSg0rxkNH1v5wHockyfIwJ2WDdSkk895+91UhrzkkSZLloU5Khusf1pDMqIVacvZ+/3FIkmQmrzNUnBZYxLy+QHPImiRWwUkHpWF/Pa0hSZKsebLFTHlGEFfLrBgP3X5L40geTdWQJccmdh93+APJ4VFHMTNqoZbc1ICiuloaleYRKFkXE3cSuarh1QxJfgpzUhqxM5vN86dNlC7mFdjHM46KRp4PWSRJcj5c3ei6IypbYIp4ppxHxZw3/9j1HLkrg02SZM3TbcO6Gax/2Iyecl7uHtnTdl9GJUly8qIO/xP5qppXj+oHpcH8eblnZFcr3zec+ldqktcO6TLBv5gkyaIQhqrB2uQakvwQOF1pwIoEFkly3vpadTHZ/ITdeCo2CoP7mvoZ8Xq/jfywv56wSJIkPyWvGyo/4Ujel9Y5b/6xU7TyyWaTJMnO8bWW1V5ym8knjfyn3zeoeRHo3Fdt/MGMxh1DJNnOf99xgxZCCKGOiZ3tv/ZoqYkJ+/iavbNvrhrS4q3kHYLk4EVBQfPV6zY1SNBlVSXhHlBU+g+UpwAATaFndzaLBXRzt/XVZ8+sWfQ8O+vpo/ul0r/W1BbvN2KUGgUA6IMshtIvpWXDKAAAYD9LSSt6FDOm198AAMAqLVJ/wjuAr5v68m44rzpyQBEoqjraXfiV5hcoj4brquEd6k8CggCuIHgHqdoosOrstMzORu79aQBAkbf3PGpfHfv7z4JSRDfl2ZOvK655lprZ03i9JhUAJLVHWvQKa1ZPKRruS6ad+UVfZdeAYWPGT3NfrE7y7NH4JuZRLU55aQWtazcaEO8vBlyrIkb7Lf6FAtUf6FmJ/jc9LSZId+9GrSgr4wB8tbGKojHtqzB4ndOqeZqapTx8kw4NAEBqkJWFbPDjjBpQqfunWpOW8kzFYktvKgBQe42y1NlfxDeN9Q3znX4AnMzrx269ZH85eUPtbT3fXu+rW93SB/vnz9pe5BJ0boGuiA+XIcCzIgCvXsGaNfD+ffu0dhsArKzaoyVNTejdu8mrvADAy4v3zwwMQLZl+65Hj25RcYQQEoT50HveuhyHgHjPmjUjXNz+Gh290Uxa1EG1Awm6jJpWnz7c91DVAEChfNlxTQIQ7wJnW6z+OHP5HIfxC9YX7h31//bOP6qp84zjDxJJADdTsYdUV2GdlqgVgseWDH8g9SdVi1V7NqYFJyoi1ckp9cd2aBqPrazHzt9SqtTSUqXr7LrWTV07hehpoce2weN2gt1m1Dq1zE0KQpIlsD/e5OVy781NSC7JvfH5HP645Obe+9z3x837fZ/nfe42z767He1kqPa/jg57/I++5zlIFatKWHTo67efigcAcDqdCm8jBNalGPCcQ2E//UZUdHT0IC9Hd984UsBrKM+de07DayoNNePbaz8teLTCYXqLc1sqZYyjs5Ms8Xdda6hrGjxcsIi8FjnrxFFK1eCujg5Scj12m6OH02yF7xQW7Wt6wvBX06lTx2tenNdka9rKc0fQdsFrQfbivGT6rHVC3kRl99X3ak2jcn81Oz0eAGDC8G8rqqrffzln6WMZY785ce6aS+9ZneS69GrOgq/yW2qXscz46mRJMntkHxUXp+xsd98ruNrbO2M0KsZSKlWssqvjLlET3Z2dXaQYlws2CO/ND1z/tjR++oWj99PBXY/k95Ei3TdPbMot/DD5xT8dX50qo/QGEc09L0WMRqirC9nVpgNAfX3ILucTAykBydADALGxoNd7/YZKBRkZQnuFjxXYiyCIrGgzGVbsuLvyDxVzEobAKwfyM5eseuHxszuy+rWKNYJxXv6y2Za+sWzdMw/YLIeXn251/MTZDQDgtBw7eKJENy/2/K5K06i5m0fDLQAAiEnNmTl0ye4d56aUT4n/++GCWeVxu76pecqviykUiqiOtjYX3zkuvi5cJXyG+rgcv6k5QnsZRvAaeTCBe1Mps6bfd+jQwQuzfjH+7scVJZtulzetFSoir0XONn/ik3OUBQfeuDilaPT1usoPr7qW9+dOraVm/QLzqr+8W1Qw9uHO+t/Vtnfz3VHNbHelQIKXmX9768XjrxTv/8+iA8t+CC0VR75ML6wuLXarCYfuyrG5h49Yl64vWDtz35aSHT+ueW5yosJ1u3FX6c5mrXGq02xgmcHMjEtbRPrc6YMKd1UVZaxPdX6+d++p+Ox3JvSu1FdOmve4q/jA0ZKMgqR/Hdt/7GvnPL+Lkbe8MjdUZwrsd/5t989W/DG18vRrC0eiP0Qy3PNSJDcXPvgA7twJtx2IB5vNh1o7eVLMy2m1oNH0+YRX7SQnQ3Iy+0N0+yBImOj+9qOylYdiS/9smDIEAEA986XX10ydv3rzjM8qc4b5Pl7WOD7dnKLc0vu/cm7VPzdyvhUzqXDTvKXluqTtCcNHZebOTjNdvtwBEwEUKeNce2ckr/4ubuzine9s0ingFDlCNW3r0W2lz+aP39sBqkR9YfWeXH9NUk2aOe2Xz4/T3TZ9wTmHGoTn3/gMBeAqgz7X4zPVIbi3XvBoNZzjXkU5ufzNLetKFjy0zaF84NEVByufHjnyCYEi4i/yH3BPHJ+99a3n1hbPTS53qR/JSNYIDIp5bFUkTv71ysL12Q++0BMTN2La5r1rtPFqnjvq6a2U7Y8x8nQ56kuTYkqjogZFx94/JvPp3xyvWJzYfX7Puxb92sW9ybBjHn0mb8yBmjcvbNi6rOro9VWr549+ddiI73feaI2dvKG26udJCihhm8G4D9oibM3ba59ft+7Jh4xd0cPGzjfWbZ/B9EUMmfVS9crC4qkjygaPyMh88P6YmBilv8XYf+wN+3ebbl0zLUk67L7Lmfsun1yTKMa5kcAR/73uoXxXvE8kZczA2hOQsyU7O/vMmTMAAHfugNkclAFXroDVGtQZzGbZa0KWYtHrQekJXmf5ZHi1jdyQWv9C+k1jI9g8U5kWS59QVbsdGht9HB78c0NcBDyfWi0k8g04GIf0Pg8JwQepBgf2L0RK2Fr/cenqdwrNGO3IIeIlX7174aPf/zc1LyspGqD9t3kP70k/27BxNDoswk8onz8oRUIK2iOMkD3CQkV4b3Mzz15JjaL0elB5EpGq1ZCW1ruLK29U4U5Z6kFq7Qfpg83mVhpUUTQ0uDekFCYqG1jKRKeDoUOF9gYtY7B/IZGP/WxZ+k8/n1P+7JQh1vcrdl1f/vEnZePv+XgdKYBSRDQkZQza45Pw28OVNLyKhattQi9smBIlK8u9QePNQrIwJvz1hQDAzZtgsbhbYFubuw2HRWb309dXX18/XawoR0nNLHBhKhPSW9Vq0OlAsNCwfyH3AnbrJwer3jt/o2f4uFn5qxan3ofvu5MEKEVEQ1LGoD0+kZo9gcOciiaJ2pjRa0wlw/rmQECHQUx/C/WuaDSg1QZ24sipL1lAWhH5u3XLHU9lsQR4NqoBmGGE3BVQ3MVU4hGi9uPNZcopPaPRaDAYAACamnrj1ggh8CPRfurxt+QZjUdJwNhA1gKCSA7uzIJA4ANv1AMXlQqKimDhQt/fRABQioiJpIxBe3wiNXvCAEu0MEP5yYQ379fEggxDNRpISXFP1gqOgbC+BgSiMUgVkyVYAVQ3UZikKpkCQ0q5FqTWfvy1hzV9wPqXtcZGXHcNdaHQmqXeFbqBINKEPsfoLAD9UQuNV1Olgq6uAb9KpIBSRDQkZQza4xOp2SMP6HwtXXbMHAwFnwyADHGyskCnA52OGUyC9dVvqLak49cgf4zJ2JS8R4hsBOHmCjFSaz+hsIc0AFr7xLvFzRkQDMzgTBIMRkSpfBoGIj/oDw3daGlxN+kBmjgLgA0bYOfOcBshG1CKiIakjEF7fCI1eyIKZjgKHRAz8575GYJClIleD2lp2Xl5Z+ReX95inPz8+fQZG8D0awUDid4haaDIyFL+QTtS6++SsIeO5CwWY3GxwWAQf0hHPGOkLVF9IiV3GSI5SLPkSmgR815y3XqszBA+/X4RkZdSOsheioh7QgRBQsl0ADWADiAJQAvgc/G7DYDGozQC2Bm7eMWNBcDP6V89gM9kYSovFg4F4P5q+XPCMHIHgLhFzABtAGbPJzJPcY2IjAaAeDfUnkau9PQCb93BT0jfvAnQAkD7r/8dFpEptEVpAcj0Rlbfz4PECmD1bFwBAICbAJa+G4gEkbEUQRAk0mhsBLMZmpvBbB7wRfaRB2uujjnVR6aiQ5LuDLnnIH5O4kuhQZsBT2NT/wkGfckO6vGmTlrqags+HwPNgEKfbNRhK3/PLRIaUIogCNJPzGYwm8FqdScaktdLKnjH/axIACZ+rgbG2ABERhB9QuNtSEcOJgCMiGrSjzDoK2RQaUHXGtHQKbEWgtMnG6lc+vzEJx4iHihFEAQRA9aiC9awhrkoJQAEpAIT7tAHfy8RpF/QISwZ5pKeG8y4lixzYiVzC/eb7KUIa10Z6xFK/RjippZmSoukJKBVg65aJISgFEEQBEEQxA/IcJnMwdPkbwHnZqDjXfrKI+qElG/oF1O2McPhmNnYxV3w7Q2mR5e+BpcZT4VqEJEGKEUQBEEQBAkOok/oQJwEfQWfpJg6Num0PV2BEOLBNPe1GOKmTe8X3FeU0mJBVzAiN1CKIAiCIAgyYFB9QiKLSKwR69WQwcDUJDQSjMLrYPEW48TyXQzoq/e4QVDUO8T7BXyLJRKhoBRBEARBECRM0OE+3aBrr7299keaUEXEVBQsHwUu5UcQDihFEARBEASRMDQ4im7QZdwhiIyiGoMGiVFPCy7vRpCgQSmCIAiCIIj84YZd+Zlsii7m5v0XQZCB5P+8251NmMl9wgAAAABJRU5ErkJggg==" alt=" " /&gt;&lt;/p&gt;
&lt;p&gt;The last command is not reflected&lt;br /&gt;Execute the first instruction first, and then execute the second instruction. No output was found. Apply an external reference, then execute the second instruction, and there will be output&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description></item><item><title>ADS8665: ADS8665: AIN_P Voltage When AVDD is Off but DVDD is Present</title><link>https://e2e.ti.com/thread/1660963?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 07:21:49 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:62140ada-43f5-4e09-879a-2a0d92426055</guid><dc:creator>Jacob</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660963?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660963/ads8665-ads8665-ain_p-voltage-when-avdd-is-off-but-dvdd-is-present/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS8665&lt;/p&gt;&lt;p&gt;Hi TI Experts,&lt;/p&gt;
&lt;p&gt;I have a question regarding the ADS8665 input behavior under a specific power condition.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Application Background:&lt;/strong&gt;&lt;br /&gt;I am using the ADS8665 to measure analog voltages from an external peripheral connected to the AIN_P pin. In my system:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;DVDD is supplied by a&amp;nbsp;&lt;strong&gt;3.3V&lt;/strong&gt;&amp;nbsp;rail.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;AVDD is supplied by a separate&amp;nbsp;&lt;strong&gt;5V&lt;/strong&gt;&amp;nbsp;rail.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;The Issue:&lt;/strong&gt;&lt;br /&gt;I have observed that when the AIN_P pin is left floating (no external peripheral connected), there is a voltage of approximately&amp;nbsp;&lt;strong&gt;1.x V&lt;/strong&gt;&amp;nbsp;present on the pin. I understand from the datasheet and related E2E discussions that this is due to the device&amp;#39;s&amp;nbsp;&lt;strong&gt;internal biasing voltage&lt;/strong&gt;, which is normal and does not indicate a problem.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;My Question:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;If I turn off AVDD (set to 0V) while DVDD remains at 3.3V, can I guarantee that the AIN_P pin will have no voltage (0V) on it?&lt;/p&gt;
&lt;p&gt;Thank you for your support.&lt;/p&gt;
&lt;p&gt;Best regards,&lt;br /&gt;Jacob&lt;/p&gt;</description></item><item><title>ADS122S14: Data rate unexpectedly drops/resets to 20 SPS when switching MUX channels in Continuous Conversion Mode</title><link>https://e2e.ti.com/thread/1660938?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 06:41:19 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:b3824343-5bba-402c-8b27-52b2f4868f72</guid><dc:creator>hyung ho bae</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660938?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660938/ads122s14-data-rate-unexpectedly-drops-resets-to-20-sps-when-switching-mux-channels-in-continuous-conversion-mode/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS122S14&lt;/p&gt;&lt;p data-path-to-node="7"&gt;Hello,&lt;/p&gt;
&lt;p data-path-to-node="8"&gt;I am currently working on a project using the &lt;strong data-index-in-node="46" data-path-to-node="8"&gt;ADS122S14&lt;/strong&gt; to measure 4 sensor channels (2 Differential and 2 Single-Ended).&lt;/p&gt;
&lt;p data-path-to-node="9"&gt;I am experiencing an issue where the ADC seems to measure at &lt;strong data-index-in-node="61" data-path-to-node="9"&gt;20 SPS&lt;/strong&gt; right after switching channels, even though I configured it for a much higher data rate. My application requires a channel switching and measurement time of &lt;strong data-index-in-node="225" data-path-to-node="9"&gt;less than 2.5 ms per channel&lt;/strong&gt;, so 20 SPS (~50 ms per sample) is too slow.&lt;/p&gt;
&lt;p data-path-to-node="10"&gt;&lt;strong data-index-in-node="0" data-path-to-node="10"&gt;[My Configuration &amp;amp; Setup]&lt;/strong&gt;&lt;/p&gt;
&lt;ul data-path-to-node="11"&gt;
&lt;li&gt;
&lt;p data-path-to-node="11,0,0"&gt;&lt;strong data-index-in-node="0" data-path-to-node="11,0,0"&gt;ADC:&lt;/strong&gt; ADS122S14&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p data-path-to-node="11,1,0"&gt;&lt;strong data-index-in-node="0" data-path-to-node="11,1,0"&gt;Inputs:&lt;/strong&gt; 2 Differential Channels, 2 Single-Ended Channels&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p data-path-to-node="11,2,0"&gt;&lt;strong data-index-in-node="0" data-path-to-node="11,2,0"&gt;Conversion Mode:&lt;/strong&gt; Continuous Conversion Mode&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p data-path-to-node="11,3,0"&gt;&lt;strong data-index-in-node="0" data-path-to-node="11,3,0"&gt;Filter Settings:&lt;/strong&gt; OSR = 32, Speed Mode = 3&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;p data-path-to-node="12"&gt;&lt;strong data-index-in-node="0" data-path-to-node="12"&gt;[The Problem]&lt;/strong&gt;&lt;/p&gt;
&lt;ol start="1" data-path-to-node="13"&gt;
&lt;li&gt;
&lt;p data-path-to-node="13,0,0"&gt;I initialize the registers with OSR=32 and Speed Mode=3 to achieve a high data rate.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p data-path-to-node="13,1,0"&gt;In Continuous Conversion Mode, whenever I update the MUX register to switch to the next channel, the data conversion rate drops/reverts to &lt;strong data-index-in-node="139" data-path-to-node="13,1,0"&gt;20 SPS&lt;/strong&gt;.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p data-path-to-node="13,2,0"&gt;It takes too long to get the settled data for the new channel.&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;
&lt;p data-path-to-node="14"&gt;&lt;strong data-index-in-node="0" data-path-to-node="14"&gt;[Questions]&lt;/strong&gt;&lt;/p&gt;
&lt;ol start="1" data-path-to-node="15"&gt;
&lt;li&gt;
&lt;p data-path-to-node="15,0,0"&gt;Why does the data rate drop or default to 20 SPS when the MUX channel is changed? Does changing the MUX register automatically reset the data rate configuration or require a specific register re-write sequence?&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p data-path-to-node="15,1,0"&gt;To achieve my goal of measuring each channel within &lt;strong data-index-in-node="52" data-path-to-node="15,1,0"&gt;2.5 ms&lt;/strong&gt;, should I switch to &lt;strong data-index-in-node="79" data-path-to-node="15,1,0"&gt;Single-Shot Mode&lt;/strong&gt; instead of Continuous Conversion Mode? If so, what is the recommended register setting and timing sequence for scanning multiple channels rapidly with OSR=32 / Speed Mode=3?&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;
&lt;p data-path-to-node="16"&gt;Any insights or recommended code sequences to resolve this timing issue would be highly appreciated.&lt;/p&gt;
&lt;p data-path-to-node="16"&gt;&amp;nbsp;&lt;/p&gt;
&lt;p data-path-to-node="16"&gt;&lt;strong&gt;[Code]&lt;/strong&gt;&lt;/p&gt;
&lt;p data-path-to-node="16"&gt;&lt;strong&gt;//init. reg.&lt;/strong&gt;&lt;/p&gt;
&lt;div&gt;
&lt;div&gt;&amp;nbsp;uint8_t reset_cmd[2] = {0x84, 0x58};&lt;/div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;&amp;nbsp; HAL_GPIO_WritePin(SPI1_CS_GPIO_Port, SPI1_CS_Pin, GPIO_PIN_RESET);&lt;/div&gt;
&lt;div&gt;&amp;nbsp; HAL_SPI_Transmit(&amp;amp;hspi1, reset_cmd, 2, 100);&lt;/div&gt;
&lt;div&gt;&amp;nbsp; HAL_GPIO_WritePin(SPI1_CS_GPIO_Port, SPI1_CS_Pin, GPIO_PIN_SET);&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;HAL_Delay(10);&lt;/div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;ADS122S14_WriteReg(0x05, 0x03);&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;delay_us(100);&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;ADS122S14_WriteReg(0x06, 0x01);&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;delay_us(100);&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;ADS122S14_WriteReg(0x07, g_ucMux_Table[0]);&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;delay_us(100);&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;ADS122S14_WriteReg(0x08, 0x01);&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;delay_us(100);&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;ADS122S14_WriteReg(0x09, 0x04);&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;delay_us(100);&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;ADS122S14_WriteReg(0x04, 0x02);&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;
&lt;div&gt;delay_us(100);&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;p data-path-to-node="16"&gt;&amp;nbsp;&lt;/p&gt;
&lt;p data-path-to-node="16"&gt;&amp;nbsp;&lt;/p&gt;
&lt;p data-path-to-node="17"&gt;Thank you!&lt;/p&gt;</description></item><item><title>RE: AM2434: Flash Booting Multi-Core (AMP) AppImage on am2434-lp</title><link>https://e2e.ti.com/thread/6404077?ContentTypeID=1</link><pubDate>Fri, 03 Jul 2026 05:56:39 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:5e15af59-a5a9-41f7-8f70-c98409a18eb5</guid><dc:creator>Meet Thakar</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6404077?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/rss?ContentTypeId=0</wfw:commentRss><description>[quote userid="706733" url="~/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/6403113"]Thank you. I have gone through this process and have been able to successfully generate the signed multicore image. However, I am trying to flash this QSPI flash and within &amp;quot;default_sbl_opsi.cfg&amp;quot; it requires a &amp;quot;_xip&amp;quot; version of the file. How would I go about generating a &amp;quot;_xip&amp;quot; version of my &amp;quot;final_multicore.appimage.hs_fs&amp;quot;? Is the &amp;quot;_xip&amp;quot; not required?[/quote]
&lt;p&gt;If you don&amp;#39;t have any requirements to enable XiP for your application then you don&amp;#39;t need to flash the _xip binary, you can just remove that line from .cfg file.&lt;/p&gt;
[quote userid="706733" url="~/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/6403128"] am64x&amp;nbsp;&lt;span&gt;CORE IDS for the A53 cores&lt;/span&gt;?[/quote]
&lt;p&gt;You can refer to any makefile in the SDK for this:&amp;nbsp;&lt;a href="https://github.com/TexasInstruments/mcupsdk-core/blob/next/examples/drivers/ipc/ipc_rpmsg_echo/am64x-evm/system_freertos_nortos/makefile#L118"&gt;https://github.com/TexasInstruments/mcupsdk-core/blob/next/examples/drivers/ipc/ipc_rpmsg_echo/am64x-evm/system_freertos_nortos/makefile#L118&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
[quote userid="706733" url="~/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/6403128"]am243x what are the CORE IDS for the PRUs cores [/quote]
&lt;p&gt;PRU Firmware is not usually loaded by the SBL and are not a part of the multicore appimage, we have some APIs that you can use from your R5 Application to load the firmware on PRU cores, please refer to this:&amp;nbsp;&lt;a id="" href="https://software-dl.ti.com/mcu-plus-sdk/esd/AM243X/12_00_00_26/exports/docs/api_guide_am243x/COMPONENT_PRU_GUIDE_PROG.html"&gt;https://software-dl.ti.com/mcu-plus-sdk/esd/AM243X/12_00_00_26/exports/docs/api_guide_am243x/COMPONENT_PRU_GUIDE_PROG.html&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;You can also refer to this example:&amp;nbsp;&lt;a id="" href="https://github.com/TexasInstruments/mcupsdk-core/blob/next/examples/pru_io/empty/am243x-evm/r5fss0-0_freertos/main.c"&gt;https://github.com/TexasInstruments/mcupsdk-core/blob/next/examples/pru_io/empty/am243x-evm/r5fss0-0_freertos/main.c&lt;/a&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AM2434: Flash Booting Multi-Core (AMP) AppImage on am2434-lp</title><link>https://e2e.ti.com/thread/1660431?ContentTypeID=0</link><pubDate>Wed, 01 Jul 2026 21:13:26 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:7145bf96-3f62-4dd4-a101-33fd3af7b695</guid><dc:creator>Daniil Nahliuk</dc:creator><slash:comments>5</slash:comments><comments>https://e2e.ti.com/thread/1660431?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; AM2434&lt;/p&gt;&lt;p&gt;&lt;a href="https://e2e.ti.com/support/processors-group/processors/f/processors-forum/1521003/sk-am62-flash-booting-multi-core-amp-appimage-a53ss0-0-a53ss0-1-on-freertos/5847688?tisearch=e2e-sitesearch&amp;amp;keymatch=AM243%252520QSPI%252520boot%252520multi-core"&gt;SK-AM62: Flash Booting Multi-Core (AMP) AppImage (a53ss0-0, a53ss0-1) on FreeRTOS - Processors forum - Processors - TI E2E support forums&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;Tried following this thread for multi-core image creation. I was able to generate a single image and a _xip version of it using genimage.py but after trying to flash QSPI flash&amp;nbsp; using uart_uniflash.py an error occured right after the sent of .mcelf_xip file.&amp;nbsp;&lt;br /&gt;&lt;br /&gt;The error message:&lt;br /&gt;&amp;quot;[STATUS] ERROR: Flashing failed !!!&amp;quot;&lt;/p&gt;
&lt;p&gt;two files I am trying to flash to the QSPI flash of am2434-lp are:&lt;br /&gt;1. multi-core-image.mcelf&lt;br /&gt;2. multi-core-image.mcelf_xip&lt;br /&gt;&lt;br /&gt;When following that thread the signing of the multi-core image was discussed but withing my sdk:&lt;br /&gt;mcu_plus_sdk_am243x_11_02_00_24 --- the appimage_x509_cert_gen.py does not exist&amp;nbsp;&lt;br /&gt;&lt;br /&gt;I have looked through the SDK documentation and it does mention the x509 signing but there are not .py files to do that within my sdk as I mentioned.&lt;br /&gt;&lt;br /&gt;From this I have these questions:&lt;br /&gt;1. What is the correct procedure to generating multi-core image files on am2434-lp and then flashing them to QSPI?&lt;br /&gt;2. Is the signing step using appimage_x509_cert_gen.py necessary for this board? If yes where can I access one that will work with am2434-lp?&lt;/p&gt;</description></item><item><title>ADS8326: Regarding DCLOCK issue</title><link>https://e2e.ti.com/thread/1660906?ContentTypeID=0</link><pubDate>Fri, 03 Jul 2026 04:32:45 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:40d5bfe8-3869-4c28-b4a0-248e9f8dc2a9</guid><dc:creator>Daisuke Higa</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660906?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660906/ads8326-regarding-dclock-issue/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS8326&lt;/p&gt;&lt;p&gt;Hi support team all.&lt;/p&gt;
&lt;p&gt;I received argent inquiries from our customer in the following.&amp;nbsp;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Could you confirm regarding these inquiries?&lt;/p&gt;
&lt;p&gt;1. Potential risk of exceeding the specified limit (6 MHz input)&lt;/p&gt;
&lt;p&gt;&amp;nbsp;If a 6 MHz DCLK exceeding the specified limit (4.8 MHz) is input in a VDD=3.3 V environment, is there a risk of any defects (Missing data, loss of accuracy, etc.) occurring in the internal operation of the ADC?&lt;/p&gt;
&lt;p&gt;Also, is there a risk that such defects will become apparent in the future due to changes in environmental temperature or the lapse of operating time?&lt;/p&gt;
&lt;p&gt;2. Risk of IC failure If operation with a clock exceeding the timing specification is continued, is there a risk that the internal of the IC will deteriorate and Is there a risk that it will eventually break down?&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Best regards,&lt;/p&gt;
&lt;p&gt;DH&lt;/p&gt;</description></item><item><title>F29H859TU-Q1: Why VREFHI is 0.65V?</title><link>https://e2e.ti.com/thread/1660002?ContentTypeID=0</link><pubDate>Wed, 01 Jul 2026 02:10:38 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:5fe1c5af-9825-40ca-841a-5d5bc1163fd9</guid><dc:creator>ken sugito</dc:creator><slash:comments>4</slash:comments><comments>https://e2e.ti.com/thread/1660002?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660002/f29h859tu-q1-why-vrefhi-is-0-65v/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; F29H859TU-Q1&lt;/p&gt;&lt;div&gt;
&lt;p&gt;The internal voltage reference range for ADC C, ADC D, and ADC E is described as 0 V to 3.3 V.&lt;/p&gt;
&lt;p&gt;However, the VREFHI voltage observed at the DSP pin is 0.65 V rather than 3.3 V.&lt;/p&gt;
&lt;p&gt;We believe that the reason VREFHI at the DSP pin is 0.65 V is that this voltage corresponds to the REF terminal voltage of the internal shunt regulator. Is our understanding correct?&lt;/p&gt;
&lt;/div&gt;</description></item><item><title>RE: F29H859TU-Q1: Why VREFHI is 0.65V?</title><link>https://e2e.ti.com/thread/6403799?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 23:50:28 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:07edfd54-7664-45a3-a712-b52be8f4b00e</guid><dc:creator>ken sugito</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6403799?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660002/f29h859tu-q1-why-vrefhi-is-0-65v/rss?ContentTypeId=0</wfw:commentRss><description>&lt;div&gt;
&lt;p&gt;Hi Joseph,&lt;/p&gt;
&lt;p&gt;Thank you for your response.&lt;/p&gt;
&lt;p&gt;I see, so a bandgap reference circuit is being used.&lt;/p&gt;
&lt;p&gt;Understood.&lt;/p&gt;
&lt;p&gt;Regards,&lt;/p&gt;
&lt;p&gt;Ken&lt;/p&gt;
&lt;/div&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>RE: F29H859TU-Q1: Effect of ADC Input on VREFHIAB and VREFLOAB</title><link>https://e2e.ti.com/thread/6403794?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 23:47:13 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:21f4f1cf-7fb9-4367-b65b-0eaf6fffddd4</guid><dc:creator>ken sugito</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6403794?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1659992/f29h859tu-q1-effect-of-adc-input-on-vrefhiab-and-vrefloab/rss?ContentTypeId=0</wfw:commentRss><description>&lt;div&gt;
&lt;p&gt;Hi&amp;nbsp; Joseph Casuga,&lt;/p&gt;
&lt;p&gt;Thank you for your response.&lt;/p&gt;
&lt;p&gt;The package type is &lt;strong&gt;QFP&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Thanks,&lt;/p&gt;
&lt;p&gt;Ken&lt;/p&gt;
&lt;/div&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>F29H859TU-Q1: Effect of ADC Input on VREFHIAB and VREFLOAB</title><link>https://e2e.ti.com/thread/1659992?ContentTypeID=0</link><pubDate>Wed, 01 Jul 2026 01:49:59 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:1218cead-16fe-46bc-ba58-59b53058a193</guid><dc:creator>ken sugito</dc:creator><slash:comments>5</slash:comments><comments>https://e2e.ti.com/thread/1659992?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1659992/f29h859tu-q1-effect-of-adc-input-on-vrefhiab-and-vrefloab/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; F29H859TU-Q1&lt;/p&gt;&lt;p&gt;We are using ADC-A only as an A/D converter and not as a comparator input.&lt;/p&gt;
&lt;p&gt;In our development unit, a high-frequency signal is present on the ADC-A A1 input.&lt;/p&gt;
&lt;p&gt;When the level of this high-frequency signal increases, the measured values of other ADC channels monitored by ADC-A also change.&lt;/p&gt;
&lt;p&gt;We suspect that the internal DSP routing/pattern for either VREFHIAB or VREFLOAB may be located close to the ADC-A input routing/pattern, causing coupling between the signals.&lt;/p&gt;
&lt;p&gt;Could this be the case?&lt;/p&gt;
&lt;p&gt;We would appreciate your comments on this possibility.&lt;/p&gt;</description></item><item><title>ADS7038-Q1: Clarification of behavior of opcodes on the SYSTEM_STATUS Register</title><link>https://e2e.ti.com/thread/1660835?ContentTypeID=0</link><pubDate>Thu, 02 Jul 2026 21:57:31 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:56948a4b-cc80-4eae-ac31-3fcf450cfddd</guid><dc:creator>Jeremy Barney</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660835?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660835/ads7038-q1-clarification-of-behavior-of-opcodes-on-the-system_status-register/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS7038-Q1&lt;/p&gt;&lt;p&gt;THE SYSTEM_STATUS OSR_DONE, CRCERR_IN, and BOR bits each have a description that includes the following phrase: &amp;quot;Clear this bit by writing 1b to this bit,&amp;quot; or &amp;quot;Write 1b to clear this error flag,&amp;quot; or &amp;quot;Write 1b to this bit to clear the flag.&amp;quot;&lt;/p&gt;
&lt;p&gt;I am hoping to get clarification for each of the opcodes. For this example, I want to clear the OSR_DONE bit and it is already set to 1.&lt;/p&gt;
&lt;p&gt;First, the SET_BIT opcode: if I set the mask to 8&amp;#39;b00001000, will this actually &lt;em&gt;clear &lt;/em&gt;the OSR_DONE bit, or will it leave it as 1?&lt;/p&gt;
&lt;p&gt;Second, the CLEAR_BIT opcode: if I set the mask to 8&amp;#39;b00001000, will it clear the OSR_DONE bit as expected?&lt;/p&gt;
&lt;p&gt;Third, the SINGLE_REGISTER_WRITE opcode: if I set the mask to 8&amp;#39;b00001000, will it clear the OSR_DONE bit or keep it set?&amp;nbsp;Conversely, if I set the mask to 8&amp;#39;b00000000, will it clear the OSR_DONE bit or keep it set?&lt;/p&gt;
&lt;p&gt;I am asking because the read/write bits in the SYSTEM_STATUS register and the EVENT flag registers are the only registers that have the language of &amp;quot;write 1b to clear.&amp;quot;&amp;nbsp; But this behavior would seem to conflict with the normal semantics of the SET_BIT and the SINGLE_REGISTER_WRITE commands.&lt;/p&gt;</description></item><item><title>DDS39RFS12: Use DDS39RF10/12 without JESD</title><link>https://e2e.ti.com/thread/1660817?ContentTypeID=0</link><pubDate>Thu, 02 Jul 2026 19:08:51 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:b7f4c160-0e60-4bbc-bafb-ca2f10ae5652</guid><dc:creator>David Schick</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/1660817?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660817/dds39rfs12-use-dds39rf10-12-without-jesd/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; DDS39RFS12&lt;/p&gt;&lt;p&gt;I would like to evaluate using the DDS39RF10 or DDS39RF12 parts without a JESD204 input present, and simply use SYSREF and SPI to make them programmable tone generators. &amp;nbsp;The older DAC38 family clearly spelled out the &amp;quot;SPI Constant&amp;quot; feature to enable this in the datasheet. &amp;nbsp;&lt;br /&gt;Does similar functionality exist in the DDS39RF10/12, such that if you supply clock, SYSREF and SPI programming you could transmit multiple tones that are phase-aligned with the SYSREF pulse?&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;</description></item><item><title>ADS1235: temperature compensation issues</title><link>https://e2e.ti.com/thread/1659015?ContentTypeID=0</link><pubDate>Fri, 26 Jun 2026 14:48:11 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:6be1896f-e2a9-426e-96c3-7e00bc3e0f69</guid><dc:creator>Matthew Love</dc:creator><slash:comments>4</slash:comments><comments>https://e2e.ti.com/thread/1659015?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1659015/ads1235-temperature-compensation-issues/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS1235&lt;/p&gt;
&lt;div&gt;
&lt;div id="CONV_6gZCEjRgRI=_SUBJECT"&gt;
&lt;div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
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&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="https://e2e.ti.com/resized-image/__size/640x480/__key/communityserver-discussions-components-files/73/8838.Outlook_2D00_52vqzuvw.jpg" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="https://e2e.ti.com/resized-image/__size/640x480/__key/communityserver-discussions-components-files/73/6366.Outlook_2D00_35u53wi2.jpg" /&gt;&lt;/p&gt;
&lt;p&gt;I am currently looking to replace an EOL ADC (Cirrus CS5532) with a similar 24-bit device.&amp;nbsp; We have used many tens of thousands of the CS5532 without tempco issues.&amp;nbsp; I have developed a replacement prototype (photo above) with the ADS1235 and adapted the SPI code of the EFM8 microcontroller. I have configured 3 of the prototypes and compared them with 3 of the previous CS5532 equipped boards.&amp;nbsp; One of the prototypes provides excitation volts (4.6v) to my precision load cell simulator external to the temperature chamber.&amp;nbsp; Sense and signal returns from the simulator are commoned to all 6 modules (but not excitation, of course).&amp;nbsp; Picture above &amp;ndash; the switch is to select the TTL232 serial outputs of the six modules.&lt;/p&gt;
&lt;p&gt;The precision simulator provides 0.7mV/V at span and 0 at zero.&amp;nbsp; I have calibrated all modules to output 10000.0g at 0.7mV/V, 0.0g at 0mV/V.&lt;/p&gt;
&lt;p&gt;Setup params - 50sps, DCexc, continuous, sinc3, PGA x64, AIN4/5 signal in, REFP0/REFN0.&lt;/p&gt;
&lt;p&gt;OFCAL: 00,00,00h (approx), FSCAL: 8D,F6,80h (typ).&lt;/p&gt;
&lt;p&gt;The analogue schematic is attached.&lt;/p&gt;
&lt;p&gt;I have used the previous, quite high input and ref series resistors (22k), so when I encountered issues, I reverted to the application note recommended of 100R and 10nF and 1nF caps (C0G).&lt;/p&gt;
&lt;p&gt;This made absolutely no difference.&lt;/p&gt;
&lt;p&gt;Over the course of a day, with temperatures varying by no more than 5C (22 to 27C), the ADS1235 zero corrected span creeps up and down typically from 10006.4g to 10027.0g (~200ppm), whilst zero moves 0.0g to 3.8g (38ppm).&amp;nbsp; The weird thing is, all of the ADS1235s seem to track this gain creep.&amp;nbsp; In addition, the low frequency gain variation (1 to 0.1Hz) is much noticeably worse than the CS5532 &amp;ndash; about 10 times.&lt;/p&gt;
&lt;p&gt;For comparison, the CS5532 results are 10000.0g to 10000.8g (8ppm) and 0.0g to 3.3g (33ppm).&lt;/p&gt;
&lt;p&gt;I haven&amp;rsquo;t yet made it to doing proper temperature testing, as the static results are so poor.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;It does seem to have the hallmarks of a silicon problem.&lt;/p&gt;
&lt;p&gt;My first thought was, could we have purchased counterfeit devices, but our buyer assures me they as &amp;lsquo;best quality&amp;rsquo; from Mouser.&lt;/p&gt;
&lt;p&gt;I have attached a picture.&amp;nbsp; The device ID reads back&amp;nbsp; C1h.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;img style="max-height:240px;max-width:320px;" alt=" " src="https://e2e.ti.com/resized-image/__size/640x480/__key/communityserver-discussions-components-files/73/4048.Outlook_2D00_0la5zilx.png" /&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>RE: ADS1235: temperature compensation issues</title><link>https://e2e.ti.com/thread/6403139?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 15:03:54 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:ce3fee6a-99a4-40ee-a640-215472f75532</guid><dc:creator>Matthew Love</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6403139?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1659015/ads1235-temperature-compensation-issues/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;Hi Bryan,&lt;br /&gt;&lt;br /&gt;Thanks for your info...&amp;nbsp; here are the replies from the HW team.&lt;/p&gt;
&lt;ol start="1"&gt;
&lt;li class="x_MsoListParagraph"&gt;&lt;span data-olk-copy-source="MessageBody"&gt;I have not tried your EVM module.&lt;/span&gt;&lt;/li&gt;
&lt;li class="x_MsoListParagraph"&gt;&lt;span&gt;An FSCAL value of 8D,F6,80h is not a negative value, in my understanding (gain is unsigned).&amp;nbsp; Unity gain is 40,00,00h, so I&amp;rsquo;m asking for a gain of just over x2.&amp;nbsp; Or have I totally misunderstood the datasheet?&lt;/span&gt;&lt;/li&gt;
&lt;li class="x_MsoListParagraph"&gt;&lt;span&gt;By &amp;ldquo;DCexc&amp;rdquo;, I mean I&amp;rsquo;&lt;/span&gt;&lt;span lang="EN-US"&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;m not using the chop mode.&amp;nbsp; Just 4.6v DC excitation.&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li class="x_MsoListParagraph"&gt;&lt;span lang="EN-US"&gt;Global chop, if I understand correctly, is only going to remove offset drifts.&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li class="x_MsoListParagraph"&gt;&lt;span lang="EN-US"&gt;My processor is taking 20ms samples from the ADS1235, feeding them into a digital filter (IIR) and outputting serial strings 0.7mv/v (approx. 3.2mv absolute) as 100,000d and 0 in as 0 out at 0.3s intervals.&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li class="x_MsoListParagraph"&gt;&lt;span lang="EN-US"&gt;I use a split groundplane, segregated under the ADC to correspond with the digital and analogue pins, with a single link between the two.&amp;nbsp; 5v power crosses the gap above that link, so no circulating currents.&lt;br /&gt;&lt;br /&gt;&lt;/span&gt;&lt;span lang="EN-US"&gt;Regards Matt&lt;/span&gt;&lt;/li&gt;
&lt;/ol&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>RE: AM2434: Flash Booting Multi-Core (AMP) AppImage on am2434-lp</title><link>https://e2e.ti.com/thread/6403128?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 14:56:26 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:0467a90b-e408-4752-9c37-98c7e09f96f6</guid><dc:creator>Daniil Nahliuk</dc:creator><slash:comments>1</slash:comments><comments>https://e2e.ti.com/thread/6403128?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;Also, in the context of am243x what are the CORE IDS for the PRUs cores and in context of am64x&amp;nbsp;&lt;span&gt;CORE IDS for the A53 cores&lt;/span&gt;? The SDK documentation only provides IDs for R5 and M4.&lt;img style="max-height:124px;max-width:529px;" height="124" src="https://e2e.ti.com/resized-image/__size/1058x248/__key/communityserver-discussions-components-files/73/pastedimage1783004046550v1.png" width="529" alt=" " /&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>RE: ADS1675: Questions about the reference Riso + DFB buffer circuit in ADS1675REF board</title><link>https://e2e.ti.com/thread/6403117?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 14:47:12 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:bcf67a4c-e8ff-46aa-8ecb-f6574234a5dc</guid><dc:creator>ruiming li</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6403117?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1659927/ads1675-questions-about-the-reference-riso-dfb-buffer-circuit-in-ads1675ref-board/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;Hello Keith,&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;Thank you for the documentation and circuit design,&amp;nbsp;these really solved my problem. Thank you!&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;Regards,&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;Lee&lt;/span&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>ADS1675: Questions about the reference Riso + DFB buffer circuit in ADS1675REF board</title><link>https://e2e.ti.com/thread/1659927?ContentTypeID=0</link><pubDate>Tue, 30 Jun 2026 17:42:08 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:c1f56744-ba4b-44c8-876d-90c995c36eea</guid><dc:creator>ruiming li</dc:creator><slash:comments>2</slash:comments><comments>https://e2e.ti.com/thread/1659927?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1659927/ads1675-questions-about-the-reference-riso-dfb-buffer-circuit-in-ads1675ref-board/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS1675&lt;/p&gt;&lt;p&gt;Hi team,&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In the ADS1675REF board reference Riso + DFB buffer circuit, the Riso(R25) is 100ohm, Rf(R22) is 49.9ohm, Cf(C22) is 0.15uF, this is very different from the design method of the precision labs video course (&lt;a href="https://www.ti.com/video/series/precision-labs/ti-precision-labs-op-amps.html)"&gt;www.ti.com/.../ti-precision-labs-op-amps.html)&lt;/a&gt;. In Precision labs series: Op amps - Stability - Isolation resistor : &amp;quot;RISO is selected to produce a zero in the AOL curve at the frequency where the AOL equals 20 dB. Then RF can be selected to any value greater than 100 times RISO in order to prevent interactions with RISO. The last step is to select a value of CF based on the range shown here. Using this range ensures that the two feedback paths never create a resonance that would cause instability.&amp;quot;&lt;/p&gt;
&lt;p&gt;The 100ohm Riso and 10uF capacitor load generate a zero point at only about 160Hz. I simulated this circuit, it has about 50 degree phase margin at about 7.5MHz, which is before the 0dB crossover.&lt;/p&gt;
&lt;p&gt;So is this an optimal design that has been proven in reality? Will not has problems such as interference and resonance mentioned in the video course above.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Thanks,&lt;/p&gt;
&lt;p&gt;Lee&lt;/p&gt;</description></item><item><title>RE: AM2434: Flash Booting Multi-Core (AMP) AppImage on am2434-lp</title><link>https://e2e.ti.com/thread/6403113?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 14:44:46 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:3f392034-2b21-4626-862d-003a1d3a2786</guid><dc:creator>Daniil Nahliuk</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6403113?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1660431/am2434-flash-booting-multi-core-amp-appimage-on-am2434-lp/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;Thank you. I have gone through this process and have been able to successfully generate the signed multicore image. However, I am trying to flash this QSPI flash and within &amp;quot;default_sbl_opsi.cfg&amp;quot; it requires a &amp;quot;_xip&amp;quot; version of the file. How would I go about generating a &amp;quot;_xip&amp;quot; version of my &amp;quot;final_multicore.appimage.hs_fs&amp;quot;? Is the &amp;quot;_xip&amp;quot; not required?&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>ADS9324: Request for Functional Safety Manual and Secure Resources for ADS9324C</title><link>https://e2e.ti.com/thread/1657117?ContentTypeID=0</link><pubDate>Mon, 22 Jun 2026 01:59:27 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:d64f6e0f-9f53-42b2-96a1-7d31feff6ad6</guid><dc:creator>Jihae Eom</dc:creator><slash:comments>3</slash:comments><comments>https://e2e.ti.com/thread/1657117?ContentTypeID=0</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1657117/ads9324-request-for-functional-safety-manual-and-secure-resources-for-ads9324c/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; ADS9324C&lt;/p&gt;
&lt;p&gt;Hello,&lt;/p&gt;
&lt;p&gt;We are currently developing a lead-acid battery monitoring system for industrial UPS and rectifier applications.&lt;/p&gt;
&lt;p&gt;This device is being reviewed as a common component for both of the following architectures:&lt;/p&gt;
&lt;p&gt;1. 2V 16-channel lead-acid battery cell monitoring system&lt;br /&gt;2. 12V 16-channel lead-acid battery block monitoring system&lt;/p&gt;
&lt;p&gt;In our system, this device may be used together with battery monitoring ICs, ADCs, MCUs, and a higher-level BMU controller to support real-time monitoring, protection, diagnostics, and preventive maintenance functions.&lt;/p&gt;
&lt;p&gt;Could you please provide access to the available secure resources for this device, including the Functional Safety Manual, Safety Analysis Report, FMEDA, diagnostic documentation, diagnostic libraries, example code, and any other related functional safety or diagnostic materials?&lt;/p&gt;
&lt;p&gt;These documents are needed to evaluate the device&amp;rsquo;s diagnostic coverage, failure detection mechanisms, protection functions, and suitability for our lead-acid battery monitoring system design.&lt;/p&gt;
&lt;p&gt;Best regards,&lt;br /&gt;Jung Deuk-keun&lt;br /&gt;President / TwinRISLab Inc.&lt;/p&gt;</description></item><item><title>RE: ADS9324: Request for Functional Safety Manual and Secure Resources for ADS9324C</title><link>https://e2e.ti.com/thread/6403069?ContentTypeID=1</link><pubDate>Thu, 02 Jul 2026 14:18:33 GMT</pubDate><guid isPermaLink="false">cb01d8b2-d089-468d-babb-77d1d8683490:daea1e75-f6c0-498d-98c8-9f9e6f0e1c59</guid><dc:creator>Josh Brown</dc:creator><slash:comments>0</slash:comments><comments>https://e2e.ti.com/thread/6403069?ContentTypeID=1</comments><wfw:commentRss>https://e2e.ti.com/support/data-converters-group/data-converters/f/data-converters-forum/1657117/ads9324-request-for-functional-safety-manual-and-secure-resources-for-ads9324c/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;Hello Jihae,&lt;/p&gt;
&lt;p&gt;Yes! the ADS9324C can be purchased directly from ti.com. We have about 450 units in stock on the website as of right now. I am unable to guarantee that we will have stock in August, but we are planning to build more units and restock the store a few times before the full release of the device.&lt;/p&gt;
&lt;p&gt;Regards,&lt;br /&gt;Josh&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item></channel></rss>