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<UT type="prediction"><UT1-UTC>0.46091</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.45923</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45749</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45569</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45389</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45212</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45041</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44880</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44729</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44588</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44456</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44330</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44205</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44078</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43942</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43795</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43633</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43454</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43260</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43056</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42851</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42653</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42469</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42302</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42149</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42005</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41865</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41723</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41577</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41427</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41274</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41121</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40971</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40829</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40696</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40574</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40464</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40365</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40275</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40190</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40106</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40019</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39924</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39817</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39696</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39560</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39412</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39258</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39106</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38964</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38838</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38729</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38632</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38542</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38451</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38357</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38258</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38157</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0739</X>
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<UT type="prediction"><UT1-UTC>0.38057</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0756</X>
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<UT type="prediction"><UT1-UTC>0.37960</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37871</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37790</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37721</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0826</X>
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<UT type="prediction"><UT1-UTC>0.37664</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0844</X>
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<UT type="prediction"><UT1-UTC>0.37618</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0861</X>
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<UT type="prediction"><UT1-UTC>0.37581</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0879</X>
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<UT type="prediction"><UT1-UTC>0.37551</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0897</X>
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<UT type="prediction"><UT1-UTC>0.37525</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37497</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37462</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37417</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37359</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0986</X>
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<UT type="prediction"><UT1-UTC>0.37287</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1004</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37203</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.37110</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.37015</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1058</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36925</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1076</X>
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<UT type="prediction"><UT1-UTC>0.36845</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1094</X>
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<UT type="prediction"><UT1-UTC>0.36780</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36726</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1129</X>
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<UT type="prediction"><UT1-UTC>0.36680</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36634</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1165</X>
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<UT type="prediction"><UT1-UTC>0.36583</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1183</X>
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<UT type="prediction"><UT1-UTC>0.36527</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1200</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36466</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1218</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36404</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1235</X>
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<UT type="prediction"><UT1-UTC>0.36344</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1253</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36291</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1270</X>
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<UT type="prediction"><UT1-UTC>0.36247</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1288</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36213</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1305</X>
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<UT type="prediction"><UT1-UTC>0.36191</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36180</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36178</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36183</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36189</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1390</X>
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<UT type="prediction"><UT1-UTC>0.36193</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36191</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36178</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36152</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1456</X>
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<UT type="prediction"><UT1-UTC>0.36113</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1472</X>
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<UT type="prediction"><UT1-UTC>0.36061</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1488</X>
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<UT type="prediction"><UT1-UTC>0.36001</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1504</X>
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<UT type="prediction"><UT1-UTC>0.35936</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1520</X>
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<UT type="prediction"><UT1-UTC>0.35873</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1536</X>
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<UT type="prediction"><UT1-UTC>0.35816</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35770</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35734</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35705</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35675</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35641</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35596</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35543</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35484</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35424</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35368</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35319</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1711</X>
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<UT type="prediction"><UT1-UTC>0.35280</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1725</X>
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<UT type="prediction"><UT1-UTC>0.35252</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1738</X>
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<UT type="prediction"><UT1-UTC>0.35233</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1751</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35223</UT1-UTC>
</UT>
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<UT type="prediction"><UT1-UTC>0.35212</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35200</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35178</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34782</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33928</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33854</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33791</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33670</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33643</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33579</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33387</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33287</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33173</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33050</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32925</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32804</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32691</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32587</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32490</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32394</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32294</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32184</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32061</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31780</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30376</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30242</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2060</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30096</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2056</X>
<Y>0.3477</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29936</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2052</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29759</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2048</X>
<Y>0.3448</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29576</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2044</X>
<Y>0.3434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29393</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2039</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29222</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2034</X>
<Y>0.3405</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29068</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2029</X>
<Y>0.3391</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28932</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28812</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2017</X>
<Y>0.3362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3348</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28441</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28298</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1984</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27982</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1977</X>
<Y>0.3280</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1969</X>
<Y>0.3267</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27649</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3253</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27489</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1953</X>
<Y>0.3240</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27337</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
<Y>0.3227</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27186</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1936</X>
<Y>0.3214</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27044</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1928</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26912</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1919</X>
<Y>0.3189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26786</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1909</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26656</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1900</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26524</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1890</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26391</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1880</X>
<Y>0.3140</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26243</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1870</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26075</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1859</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25889</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1849</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25683</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1838</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25455</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1827</X>
<Y>0.3083</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25227</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1816</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25003</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1804</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24791</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1793</X>
<Y>0.3050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24595</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1781</X>
<Y>0.3040</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24420</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1769</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24258</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1757</X>
<Y>0.3019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24104</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1745</X>
<Y>0.3009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23951</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1732</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23797</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1720</X>
<Y>0.2990</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23633</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1707</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23467</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1694</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23302</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1681</X>
<Y>0.2963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23132</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1667</X>
<Y>0.2954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22969</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1654</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22811</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1640</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22669</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1627</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22532</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1613</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22400</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1599</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22278</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1585</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22162</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1570</X>
<Y>0.2899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22043</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1556</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21920</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1542</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21787</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1527</X>
<Y>0.2879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21635</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1512</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21468</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1497</X>
<Y>0.2866</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21279</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1483</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21074</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1468</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20859</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1453</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20638</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1437</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20416</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1422</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20205</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1407</X>
<Y>0.2835</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20013</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1392</X>
<Y>0.2830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19829</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1376</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19646</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1361</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19464</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1345</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58096</MJD>
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<dataEOP><pole type="prediction"><X>0.1330</X>
<Y>0.2815</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19079</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1314</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18869</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1299</X>
<Y>0.2809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18647</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1283</X>
<Y>0.2806</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18427</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1267</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1251</X>
<Y>0.2801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18024</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1236</X>
<Y>0.2799</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17848</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1220</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1204</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1188</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17395</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1173</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17262</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1157</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17138</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1141</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17019</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1126</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16901</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1110</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16781</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1094</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16654</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1078</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16517</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1063</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16358</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1047</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16195</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1032</X>
<Y>0.2795</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16018</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1016</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15844</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1001</X>
<Y>0.2798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15677</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0986</X>
<Y>0.2800</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15520</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0970</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15379</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0955</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15250</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0940</X>
<Y>0.2807</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15130</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0925</X>
<Y>0.2810</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14996</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0910</X>
<Y>0.2813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14856</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0895</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14704</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0880</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14552</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0865</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14406</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0851</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14263</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0836</X>
<Y>0.2832</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14128</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0822</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13995</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0807</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13877</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0793</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13775</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0779</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13683</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0765</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13598</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0751</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13512</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0738</X>
<Y>0.2867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13438</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0724</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13356</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0711</X>
<Y>0.2879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13262</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0698</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13158</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0684</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13035</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0672</X>
<Y>0.2899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12895</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0659</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12742</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0646</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12585</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0634</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12424</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0621</X>
<Y>0.2928</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12265</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0609</X>
<Y>0.2936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12126</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11986</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0586</X>
<Y>0.2952</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11866</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0574</X>
<Y>0.2961</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11741</UT1-UTC>
</UT>
</dataEOP>
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