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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0016</X>
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<UT type="prediction"><UT1-UTC>0.47178</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0013</X>
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<UT type="prediction"><UT1-UTC>0.46956</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0010</X>
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<UT type="prediction"><UT1-UTC>0.46737</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.46528</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.46333</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0002</X>
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<UT type="prediction"><UT1-UTC>0.46154</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45986</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45825</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45664</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45499</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45326</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.45146</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44960</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44773</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44589</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44412</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44244</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0074</X>
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<UT type="prediction"><UT1-UTC>0.44087</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43941</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43804</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0098</X>
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<UT type="prediction"><UT1-UTC>0.43675</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0107</X>
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<UT type="prediction"><UT1-UTC>0.43547</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0116</X>
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<UT type="prediction"><UT1-UTC>0.43418</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43282</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43134</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42971</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42791</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42597</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42393</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.42187</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.41988</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41804</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.41637</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.41485</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.41343</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41205</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41065</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40921</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40773</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40622</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40471</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40324</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0349</X>
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<UT type="prediction"><UT1-UTC>0.40183</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0363</X>
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<UT type="prediction"><UT1-UTC>0.40052</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39932</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39823</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0406</X>
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<UT type="prediction"><UT1-UTC>0.39726</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39637</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0436</X>
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<UT type="prediction"><UT1-UTC>0.39554</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39471</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39384</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39288</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0497</X>
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<UT type="prediction"><UT1-UTC>0.39181</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0513</X>
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<UT type="prediction"><UT1-UTC>0.39060</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0529</X>
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<UT type="prediction"><UT1-UTC>0.38924</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57895</MJD>
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<dataEOP><pole type="prediction"><X>0.0545</X>
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<UT type="prediction"><UT1-UTC>0.38775</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57896</MJD>
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<dataEOP><pole type="prediction"><X>0.0562</X>
<Y>0.4425</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38620</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57897</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0578</X>
<Y>0.4433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38466</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57898</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0594</X>
<Y>0.4441</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38323</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57899</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0611</X>
<Y>0.4449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38194</UT1-UTC>
</UT>
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<UT type="prediction"><UT1-UTC>0.38081</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37980</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37888</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37795</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37699</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37599</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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<UT type="prediction"><UT1-UTC>0.37395</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37296</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37205</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37124</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37054</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36996</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36949</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36912</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36881</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36852</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36822</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36784</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36736</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36676</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36602</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36516</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36422</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36325</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36233</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36152</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36085</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36030</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35982</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35935</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35883</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35761</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35696</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35633</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35577</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35530</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35493</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35468</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35454</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35449</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35450</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35453</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35454</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35449</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35434</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35405</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35363</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35309</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35246</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35179</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35054</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35006</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34904</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34867</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32876</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32816</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32671</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32580</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32474</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32353</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32090</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31960</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31842</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31649</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31486</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31297</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31058</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30924</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30788</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30654</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2115</X>
<Y>0.3646</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30526</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2115</X>
<Y>0.3631</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30397</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2114</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30275</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2113</X>
<Y>0.3600</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2111</X>
<Y>0.3585</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2109</X>
<Y>0.3570</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29952</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2107</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29844</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2104</X>
<Y>0.3539</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2102</X>
<Y>0.3524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29615</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2099</X>
<Y>0.3509</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29474</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2095</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2092</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29133</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2088</X>
<Y>0.3464</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28927</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2084</X>
<Y>0.3449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2079</X>
<Y>0.3434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2075</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2070</X>
<Y>0.3405</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28122</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27954</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2059</X>
<Y>0.3376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3361</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27655</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2047</X>
<Y>0.3347</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2041</X>
<Y>0.3333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27374</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2034</X>
<Y>0.3319</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3305</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26901</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.3277</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3263</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3223</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26085</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25938</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1964</X>
<Y>0.3197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1954</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25547</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1936</X>
<Y>0.3159</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25416</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1926</X>
<Y>0.3146</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25276</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1916</X>
<Y>0.3134</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25117</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1906</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24944</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1895</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24748</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.3098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24532</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1874</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24303</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1863</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24065</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1851</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1840</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1828</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23376</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1817</X>
<Y>0.3030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23172</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>0.1805</X>
<Y>0.3020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22973</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1792</X>
<Y>0.3009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22778</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1780</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22580</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1767</X>
<Y>0.2989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22376</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1755</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22156</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1742</X>
<Y>0.2969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21920</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1729</X>
<Y>0.2960</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21682</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1715</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21447</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1702</X>
<Y>0.2942</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21229</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1688</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21023</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1675</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20832</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1661</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1647</X>
<Y>0.2908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1633</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20323</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1619</X>
<Y>0.2892</Y>
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<UT type="prediction"><UT1-UTC>0.20176</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1604</X>
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<UT type="prediction"><UT1-UTC>0.20037</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1590</X>
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<UT type="prediction"><UT1-UTC>0.19901</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1575</X>
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<UT type="prediction"><UT1-UTC>0.19767</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1560</X>
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<UT type="prediction"><UT1-UTC>0.19626</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1546</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19474</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1531</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19300</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1516</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19118</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1501</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18919</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1485</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18719</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1470</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18524</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1455</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18340</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1439</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18174</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1424</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18024</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1408</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17890</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1393</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17749</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1377</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17604</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1361</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17451</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1345</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17295</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1330</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17143</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1314</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16991</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
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<dataEOP><pole type="prediction"><X>0.1298</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16842</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
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<dataEOP><pole type="prediction"><X>0.1282</X>
<Y>0.2780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58102</MJD>
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<dataEOP><pole type="prediction"><X>0.1266</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16559</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1250</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16442</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1234</X>
<Y>0.2774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16335</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1218</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16239</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1202</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16145</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1186</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16067</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58108</MJD>
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<dataEOP><pole type="prediction"><X>0.1170</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15985</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58109</MJD>
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<dataEOP><pole type="prediction"><X>0.1154</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15896</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
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<dataEOP><pole type="prediction"><X>0.1138</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15799</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1123</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15683</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1107</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15551</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1091</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15404</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15248</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1059</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15084</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
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<dataEOP><pole type="prediction"><X>0.1044</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14919</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58117</MJD>
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<dataEOP><pole type="prediction"><X>0.1028</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14771</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1012</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14625</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0997</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14503</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0981</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14381</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0966</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14255</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0951</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14114</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
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<dataEOP><pole type="prediction"><X>0.0935</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13960</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
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<dataEOP><pole type="prediction"><X>0.0920</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13793</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
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<dataEOP><pole type="prediction"><X>0.0905</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13617</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0890</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13437</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0875</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13265</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0860</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13094</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0846</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12935</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
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<dataEOP><pole type="prediction"><X>0.0831</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12791</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
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<dataEOP><pole type="prediction"><X>0.0817</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12670</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
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<dataEOP><pole type="prediction"><X>0.0802</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12557</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0788</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12441</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
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<dataEOP><pole type="prediction"><X>0.0774</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12336</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
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<dataEOP><pole type="prediction"><X>0.0760</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12216</UT1-UTC>
</UT>
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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>0.0746</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12103</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0733</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11983</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0719</X>
<Y>0.2857</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11850</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
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