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</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57808</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0030</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52159</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57809</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0023</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57810</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51860</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57811</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0010</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51685</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57812</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3201</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51493</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57813</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51293</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57814</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0007</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51090</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57815</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0012</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50894</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57816</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0017</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50709</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57817</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0022</X>
<Y>0.3284</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57818</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0027</X>
<Y>0.3301</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50376</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57819</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0031</X>
<Y>0.3318</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50223</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57820</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0034</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50070</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57821</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0038</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0041</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57823</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0043</X>
<Y>0.3387</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.3404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49391</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.3421</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0049</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0050</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3473</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48661</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3490</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48495</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3543</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48051</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0050</X>
<Y>0.3560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0049</X>
<Y>0.3577</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47776</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47633</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0044</X>
<Y>0.3630</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47313</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0041</X>
<Y>0.3647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47128</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.3682</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46710</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0032</X>
<Y>0.3699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46489</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0029</X>
<Y>0.3717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46271</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0025</X>
<Y>0.3734</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0020</X>
<Y>0.3751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45870</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0016</X>
<Y>0.3768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0011</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45527</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0006</X>
<Y>0.3802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45367</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0000</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0006</X>
<Y>0.3836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0012</X>
<Y>0.3852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44873</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0018</X>
<Y>0.3869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44695</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0025</X>
<Y>0.3886</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0032</X>
<Y>0.3902</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44328</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0039</X>
<Y>0.3918</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43973</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0063</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0072</X>
<Y>0.3983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0081</X>
<Y>0.3998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.4014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43246</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0099</X>
<Y>0.4030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.4045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0119</X>
<Y>0.4060</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42856</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0129</X>
<Y>0.4075</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42709</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0139</X>
<Y>0.4090</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42546</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0150</X>
<Y>0.4105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42366</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0161</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42171</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41964</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41756</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41554</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41367</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41197</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41042</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40897</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40756</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40614</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40467</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40316</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40162</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0326</X>
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<UT type="prediction"><UT1-UTC>0.40008</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39858</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0354</X>
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<UT type="prediction"><UT1-UTC>0.39714</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0369</X>
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<UT type="prediction"><UT1-UTC>0.39580</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39458</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39346</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39246</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39154</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39067</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38981</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38891</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38793</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38682</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38557</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38418</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38266</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38108</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37952</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37806</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37676</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37561</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37460</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37364</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37269</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37170</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37067</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36962</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36856</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36755</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36660</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36575</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36502</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36440</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36390</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36348</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36313</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36280</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36245</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36202</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36150</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1008</X>
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<UT type="prediction"><UT1-UTC>0.36084</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36005</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35914</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1064</X>
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<UT type="prediction"><UT1-UTC>0.35815</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1083</X>
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<UT type="prediction"><UT1-UTC>0.35713</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1102</X>
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<UT type="prediction"><UT1-UTC>0.35615</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1120</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35528</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57927</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1139</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35455</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35394</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35340</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35286</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35228</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35163</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35093</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35022</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34953</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34891</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34837</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34795</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34764</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34743</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1395</X>
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<UT type="prediction"><UT1-UTC>0.34732</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34727</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34725</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1448</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34721</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1465</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34711</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34691</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34658</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34613</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34556</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1550</X>
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<UT type="prediction"><UT1-UTC>0.34491</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1567</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34423</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1583</X>
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<UT type="prediction"><UT1-UTC>0.34359</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34303</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34259</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34229</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34208</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34190</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34171</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34145</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34113</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34078</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34041</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1753</X>
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<UT type="prediction"><UT1-UTC>0.34007</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1768</X>
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<UT type="prediction"><UT1-UTC>0.33976</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1782</X>
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<UT type="prediction"><UT1-UTC>0.33951</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1796</X>
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<UT type="prediction"><UT1-UTC>0.33932</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1810</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33918</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1823</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33910</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1837</X>
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<UT type="prediction"><UT1-UTC>0.33906</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1850</X>
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<UT type="prediction"><UT1-UTC>0.33903</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1863</X>
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<UT type="prediction"><UT1-UTC>0.33898</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33887</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33868</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33836</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33790</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33731</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33661</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33585</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33506</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33358</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33293</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33230</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2009</X>
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<UT type="prediction"><UT1-UTC>0.33164</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33091</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2027</X>
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<UT type="prediction"><UT1-UTC>0.33004</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2036</X>
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<UT type="prediction"><UT1-UTC>0.31652</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31544</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31291</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31155</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30892</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30776</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30299</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29984</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29805</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28360</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27864</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26134</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25781</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25457</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25118</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24927</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24737</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24542</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24355</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24180</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2037</X>
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<UT type="prediction"><UT1-UTC>0.24015</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2029</X>
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<UT type="prediction"><UT1-UTC>0.23866</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2020</X>
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<UT type="prediction"><UT1-UTC>0.23731</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2011</X>
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<UT type="prediction"><UT1-UTC>0.23613</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2001</X>
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<UT type="prediction"><UT1-UTC>0.23490</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1992</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23368</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1982</X>
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<UT type="prediction"><UT1-UTC>0.23239</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1972</X>
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<UT type="prediction"><UT1-UTC>0.23104</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1962</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22962</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1951</X>
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<UT type="prediction"><UT1-UTC>0.22802</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22624</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1930</X>
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<UT type="prediction"><UT1-UTC>0.22425</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22219</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22020</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1896</X>
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<UT type="prediction"><UT1-UTC>0.21829</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1884</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21651</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1872</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21483</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1860</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21339</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21196</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1835</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21050</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20898</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1810</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20732</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1797</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20556</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1784</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20374</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1770</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20194</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20019</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19852</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19708</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19568</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19451</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1687</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19225</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1658</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19104</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.18977</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.18838</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.18686</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.18517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.18336</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1569</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18133</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1554</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17920</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1538</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17706</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1523</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17508</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1507</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17317</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1492</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17130</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1476</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16964</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.16791</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1445</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16630</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.16466</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1413</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16293</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1397</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16115</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1381</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15933</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1365</X>
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<UT type="prediction"><UT1-UTC>0.15747</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1349</X>
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<UT type="prediction"><UT1-UTC>0.15569</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1333</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15406</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>0.1317</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15257</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1301</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
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<dataEOP><pole type="prediction"><X>0.1285</X>
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<UT type="prediction"><UT1-UTC>0.14996</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
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<dataEOP><pole type="prediction"><X>0.1268</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14880</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58106</MJD>
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<dataEOP><pole type="prediction"><X>0.1252</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14762</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1236</X>
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