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<UT type="prediction"><UT1-UTC>0.32186</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<UT type="prediction"><UT1-UTC>0.32113</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.32056</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1561</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32016</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1578</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31992</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1595</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31979</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31971</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31965</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1645</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31957</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1661</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31945</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1677</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31930</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1694</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31912</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1710</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31892</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1725</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31869</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1741</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31847</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1757</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31827</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1772</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31812</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1787</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31803</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31800</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<UT type="prediction"><UT1-UTC>0.31802</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31802</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31797</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1860</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31779</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1874</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31744</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1888</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31690</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1902</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31622</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1915</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31546</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31472</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1942</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31407</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.31355</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1967</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31319</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1979</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31296</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1991</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31283</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31277</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31271</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2026</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31262</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2037</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31248</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31227</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2059</X>
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<UT type="prediction"><UT1-UTC>0.31200</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31168</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2080</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31132</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2089</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31095</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2099</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31058</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2108</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31024</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2118</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30994</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2126</X>
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<UT type="prediction"><UT1-UTC>0.30967</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2135</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30941</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57259</MJD>
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<dataEOP><pole type="prediction"><X>0.2143</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30914</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57260</MJD>
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<dataEOP><pole type="prediction"><X>0.2151</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30880</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57261</MJD>
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<dataEOP><pole type="prediction"><X>0.2159</X>
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<UT type="prediction"><UT1-UTC>0.30835</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2167</X>
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<UT type="prediction"><UT1-UTC>0.30772</UT1-UTC>
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<MJD>57263</MJD>
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<dataEOP><pole type="prediction"><X>0.2174</X>
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<UT type="prediction"><UT1-UTC>0.30689</UT1-UTC>
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<MJD>57264</MJD>
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<dataEOP><pole type="prediction"><X>0.2181</X>
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<UT type="prediction"><UT1-UTC>0.30588</UT1-UTC>
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<MJD>57265</MJD>
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<UT type="prediction"><UT1-UTC>0.30472</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2194</X>
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<UT type="prediction"><UT1-UTC>0.30353</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57267</MJD>
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<dataEOP><pole type="prediction"><X>0.2200</X>
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<UT type="prediction"><UT1-UTC>0.30238</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57268</MJD>
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<dataEOP><pole type="prediction"><X>0.2205</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30137</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57269</MJD>
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<dataEOP><pole type="prediction"><X>0.2211</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30051</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57270</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2216</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29980</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57271</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2221</X>
<Y>0.3759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29920</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.2225</X>
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<UT type="prediction"><UT1-UTC>0.29868</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2230</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29816</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57274</MJD>
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<dataEOP><pole type="prediction"><X>0.2233</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29763</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57275</MJD>
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<dataEOP><pole type="prediction"><X>0.2237</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29703</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2240</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29636</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2244</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29561</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57278</MJD>
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<dataEOP><pole type="prediction"><X>0.2246</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29480</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57279</MJD>
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<dataEOP><pole type="prediction"><X>0.2249</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29394</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2251</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29305</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57281</MJD>
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<dataEOP><pole type="prediction"><X>0.2253</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29217</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57282</MJD>
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<dataEOP><pole type="prediction"><X>0.2254</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29131</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57283</MJD>
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<dataEOP><pole type="prediction"><X>0.2255</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29049</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57284</MJD>
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<dataEOP><pole type="prediction"><X>0.2256</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28971</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2257</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28896</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57286</MJD>
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<dataEOP><pole type="prediction"><X>0.2257</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28822</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57287</MJD>
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<dataEOP><pole type="prediction"><X>0.2257</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28743</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2257</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28655</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2256</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28553</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2255</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28431</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2254</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28289</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57292</MJD>
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<dataEOP><pole type="prediction"><X>0.2252</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28128</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2250</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27955</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2248</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27780</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2245</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27614</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2243</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27464</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57297</MJD>
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<dataEOP><pole type="prediction"><X>0.2239</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27331</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57298</MJD>
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<dataEOP><pole type="prediction"><X>0.2236</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27214</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57299</MJD>
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<dataEOP><pole type="prediction"><X>0.2232</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27107</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57300</MJD>
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<dataEOP><pole type="prediction"><X>0.2228</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27005</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57301</MJD>
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<dataEOP><pole type="prediction"><X>0.2224</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26904</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57302</MJD>
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<dataEOP><pole type="prediction"><X>0.2219</X>
<Y>0.3214</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26798</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57303</MJD>
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<dataEOP><pole type="prediction"><X>0.2214</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26687</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57304</MJD>
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<dataEOP><pole type="prediction"><X>0.2209</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26570</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57305</MJD>
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<dataEOP><pole type="prediction"><X>0.2203</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26446</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57306</MJD>
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<dataEOP><pole type="prediction"><X>0.2197</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26319</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57307</MJD>
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<dataEOP><pole type="prediction"><X>0.2191</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26189</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57308</MJD>
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<dataEOP><pole type="prediction"><X>0.2185</X>
<Y>0.3111</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26060</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57309</MJD>
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<dataEOP><pole type="prediction"><X>0.2178</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25935</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57310</MJD>
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<dataEOP><pole type="prediction"><X>0.2171</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25814</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57311</MJD>
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<dataEOP><pole type="prediction"><X>0.2164</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25698</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57312</MJD>
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<dataEOP><pole type="prediction"><X>0.2156</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25589</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57313</MJD>
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<dataEOP><pole type="prediction"><X>0.2148</X>
<Y>0.3027</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25483</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57314</MJD>
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<dataEOP><pole type="prediction"><X>0.2140</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25376</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57315</MJD>
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<dataEOP><pole type="prediction"><X>0.2131</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25265</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57316</MJD>
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<dataEOP><pole type="prediction"><X>0.2123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25144</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57317</MJD>
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<dataEOP><pole type="prediction"><X>0.2114</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25008</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57318</MJD>
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<dataEOP><pole type="prediction"><X>0.2104</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24854</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57319</MJD>
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<dataEOP><pole type="prediction"><X>0.2095</X>
<Y>0.2930</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24682</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57320</MJD>
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<dataEOP><pole type="prediction"><X>0.2085</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24495</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57321</MJD>
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<dataEOP><pole type="prediction"><X>0.2075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24302</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57322</MJD>
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<dataEOP><pole type="prediction"><X>0.2064</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24112</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57323</MJD>
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<dataEOP><pole type="prediction"><X>0.2054</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23934</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57324</MJD>
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<dataEOP><pole type="prediction"><X>0.2043</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23774</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57325</MJD>
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<dataEOP><pole type="prediction"><X>0.2032</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23631</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57326</MJD>
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<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23502</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57327</MJD>
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<dataEOP><pole type="prediction"><X>0.2008</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23382</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57328</MJD>
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<dataEOP><pole type="prediction"><X>0.1996</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23265</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57329</MJD>
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<dataEOP><pole type="prediction"><X>0.1984</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23148</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.2766</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23028</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.2752</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22903</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>06</dateDay>
<MJD>57332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1946</X>
<Y>0.2738</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>57333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1933</X>
<Y>0.2724</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22642</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>57334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>57335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1906</X>
<Y>0.2697</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22376</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>57336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1893</X>
<Y>0.2684</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>57337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.2672</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>57338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1864</X>
<Y>0.2659</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22007</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>57339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1850</X>
<Y>0.2646</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>57340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1835</X>
<Y>0.2634</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>57341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1820</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>57342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1805</X>
<Y>0.2610</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>57343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1790</X>
<Y>0.2599</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21481</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>57344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1775</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>57345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1759</X>
<Y>0.2576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21226</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>57346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1743</X>
<Y>0.2565</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>57347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1727</X>
<Y>0.2555</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>57348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1711</X>
<Y>0.2544</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20741</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>57349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1695</X>
<Y>0.2534</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>57350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1678</X>
<Y>0.2524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20402</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1662</X>
<Y>0.2514</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20249</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1645</X>
<Y>0.2505</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1628</X>
<Y>0.2495</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57354</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1611</X>
<Y>0.2486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19881</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1594</X>
<Y>0.2478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19776</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1576</X>
<Y>0.2469</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>57357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1559</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19565</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>57358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1541</X>
<Y>0.2453</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>57359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1523</X>
<Y>0.2445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>57360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1505</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19225</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>57361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1487</X>
<Y>0.2430</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19107</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>57362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1469</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18989</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>57363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1451</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18875</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>57364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1433</X>
<Y>0.2410</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18765</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57365</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1414</X>
<Y>0.2404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18660</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57366</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1396</X>
<Y>0.2398</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1377</X>
<Y>0.2393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18467</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1359</X>
<Y>0.2387</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1340</X>
<Y>0.2382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1321</X>
<Y>0.2378</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1302</X>
<Y>0.2373</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1283</X>
<Y>0.2369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17942</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1264</X>
<Y>0.2365</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1245</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1226</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1207</X>
<Y>0.2355</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17306</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1188</X>
<Y>0.2352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17143</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1168</X>
<Y>0.2349</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1149</X>
<Y>0.2347</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1130</X>
<Y>0.2345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1111</X>
<Y>0.2344</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16624</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1091</X>
<Y>0.2342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16522</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1072</X>
<Y>0.2341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16422</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1053</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16320</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1033</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16214</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1014</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16103</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0995</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15989</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0976</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15874</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0956</X>
<Y>0.2341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15761</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0937</X>
<Y>0.2342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15653</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0918</X>
<Y>0.2343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0899</X>
<Y>0.2345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15461</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57393</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0880</X>
<Y>0.2346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15381</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0861</X>
<Y>0.2349</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0842</X>
<Y>0.2351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15245</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0823</X>
<Y>0.2354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57397</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0804</X>
<Y>0.2357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57398</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0785</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57399</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0767</X>
<Y>0.2363</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14955</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57400</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0748</X>
<Y>0.2367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14849</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57401</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0730</X>
<Y>0.2371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57402</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0711</X>
<Y>0.2376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57403</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0693</X>
<Y>0.2380</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14468</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57404</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0674</X>
<Y>0.2385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14340</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57405</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0656</X>
<Y>0.2390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57406</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0638</X>
<Y>0.2396</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57407</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0620</X>
<Y>0.2402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14029</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57408</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0603</X>
<Y>0.2408</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13957</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57409</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0585</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57410</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0567</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57411</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0550</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13749</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57412</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0533</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57413</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0516</X>
<Y>0.2442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13594</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57414</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0499</X>
<Y>0.2449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57415</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0482</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57416</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0465</X>
<Y>0.2465</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13317</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57417</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0449</X>
<Y>0.2474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57418</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0432</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13129</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57419</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0416</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13039</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>57420</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0400</X>
<Y>0.2501</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12954</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>57421</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0384</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12870</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>57422</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0368</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>57423</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0353</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12731</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57424</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0338</X>
<Y>0.2540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57425</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12579</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>57426</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0308</X>
<Y>0.2560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12481</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57427</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0293</X>
<Y>0.2571</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57428</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.2582</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12232</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57429</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0264</X>
<Y>0.2594</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12083</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57430</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.2605</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57431</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0236</X>
<Y>0.2617</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57432</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0223</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57433</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0209</X>
<Y>0.2641</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11476</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57434</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0196</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11357</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57435</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.2666</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11253</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>57436</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0171</X>
<Y>0.2678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11155</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57437</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0158</X>
<Y>0.2691</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57438</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.2704</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57439</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0134</X>
<Y>0.2718</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10860</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57440</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0122</X>
<Y>0.2731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57441</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0111</X>
<Y>0.2745</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10628</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57442</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0099</X>
<Y>0.2759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10500</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57443</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10373</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57444</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0078</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10253</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57445</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.2801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10135</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>28</dateDay>
<MJD>57446</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10017</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57447</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.2831</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09902</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57448</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0037</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09799</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
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<MJD>57449</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0028</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09703</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57450</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0019</X>
<Y>0.2876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09606</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57451</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0010</X>
<Y>0.2891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57452</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0001</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09413</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57453</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0007</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57454</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0015</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57455</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0023</X>
<Y>0.2954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09019</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57456</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0030</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57457</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0037</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57458</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0044</X>
<Y>0.3002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57459</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3018</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08325</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57460</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57461</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0063</X>
<Y>0.3051</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57462</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0068</X>
<Y>0.3068</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57463</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0074</X>
<Y>0.3085</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57464</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0079</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07606</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57465</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0084</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57466</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0088</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57467</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07186</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57468</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07037</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>22</dateDay>
<MJD>57469</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0100</X>
<Y>0.3187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57470</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0103</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57471</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57472</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0109</X>
<Y>0.3239</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06461</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57473</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3256</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57474</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0113</X>
<Y>0.3274</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06190</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57475</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0115</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57476</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0116</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05927</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57477</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0117</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05802</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>31</dateDay>
<MJD>57478</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0118</X>
<Y>0.3344</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05679</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>01</dateDay>
<MJD>57479</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05550</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>02</dateDay>
<MJD>57480</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05414</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>03</dateDay>
<MJD>57481</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05259</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>04</dateDay>
<MJD>57482</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0118</X>
<Y>0.3415</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05085</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>05</dateDay>
<MJD>57483</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0118</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04893</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>06</dateDay>
<MJD>57484</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0116</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04690</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57485</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0115</X>
<Y>0.3468</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04482</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>08</dateDay>
<MJD>57486</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0113</X>
<Y>0.3485</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04282</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>09</dateDay>
<MJD>57487</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3503</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04092</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>10</dateDay>
<MJD>57488</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0109</X>
<Y>0.3521</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03919</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>11</dateDay>
<MJD>57489</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03766</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57490</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03630</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57491</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0101</X>
<Y>0.3573</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03502</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>14</dateDay>
<MJD>57492</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3591</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03368</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57493</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3608</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03226</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57494</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0089</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03081</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57495</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0085</X>
<Y>0.3643</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02926</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57496</MJD>
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<dataEOP><pole type="prediction"><X>-0.0080</X>
<Y>0.3660</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02770</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57497</MJD>
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<dataEOP><pole type="prediction"><X>-0.0075</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02606</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57498</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.3695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02442</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57499</MJD>
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<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02288</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57500</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0058</X>
<Y>0.3729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02143</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57501</MJD>
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<dataEOP><pole type="prediction"><X>-0.0052</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02007</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57502</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.3763</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01881</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57503</MJD>
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<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01768</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57504</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0032</X>
<Y>0.3796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01665</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57505</MJD>
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<dataEOP><pole type="prediction"><X>-0.0025</X>
<Y>0.3813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01563</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57506</MJD>
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<dataEOP><pole type="prediction"><X>-0.0017</X>
<Y>0.3829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01462</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57507</MJD>
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<dataEOP><pole type="prediction"><X>-0.0009</X>
<Y>0.3846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01356</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57508</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0001</X>
<Y>0.3862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01244</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57509</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01114</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57510</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00963</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57511</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0025</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00794</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00274</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.00780</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01174</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01307</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01437</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01565</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01685</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01794</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01897</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01991</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02084</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.0284</X>
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<UT type="prediction"><UT1-UTC>-0.02171</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.0298</X>
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<UT type="prediction"><UT1-UTC>-0.02258</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02349</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02451</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02557</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02676</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02805</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57540</MJD>
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<Y>0.4301</Y>
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<UT type="prediction"><UT1-UTC>-0.02943</UT1-UTC>
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<MJD>57541</MJD>
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<Y>0.4312</Y>
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<UT type="prediction"><UT1-UTC>-0.03084</UT1-UTC>
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<MJD>57542</MJD>
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<Y>0.4322</Y>
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<UT type="prediction"><UT1-UTC>-0.03218</UT1-UTC>
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<Y>0.4332</Y>
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<UT type="prediction"><UT1-UTC>-0.03342</UT1-UTC>
</UT>
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<MJD>57544</MJD>
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<Y>0.4342</Y>
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<UT type="prediction"><UT1-UTC>-0.03445</UT1-UTC>
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<MJD>57545</MJD>
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<Y>0.4352</Y>
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<UT type="prediction"><UT1-UTC>-0.03532</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57546</MJD>
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<dataEOP><pole type="prediction"><X>0.0483</X>
<Y>0.4361</Y>
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<UT type="prediction"><UT1-UTC>-0.03613</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57547</MJD>
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<dataEOP><pole type="prediction"><X>0.0499</X>
<Y>0.4371</Y>
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<UT type="prediction"><UT1-UTC>-0.03692</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57548</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0516</X>
<Y>0.4379</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03771</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57549</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0533</X>
<Y>0.4388</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03846</UT1-UTC>
</UT>
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