Showing 541 - 560 results of 43,681 for search '(( 50 ((ng decrease) OR (((a decrease) OR (nn decrease)))) ) OR ( 5 mean decrease ))', query time: 1.07s Refine Results
  1. 541

    Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
    “…Outpatient visit frequency also significantly declined from 11.5 ± 4.3 visits in the year before surgery to 8.8 ± 4.1, 5.0 ± 3.4, and 4.4 ± 3.2 visits in the first, second, and third postoperative years, respectively (Kruskal-Wallis test, p < 0.001; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0332941#pone.0332941.g004" target="_blank">Fig 4</a>).…”
  2. 542

    Annual number of outpatient visits in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
    “…<p>In the recurrence group, mean outpatient visits (± standard deviation) decreased from 13.6 ± 3.0 to 11.9 ± 5.0, 8.1 ± 3.9, and 7.8 ± 3.2 at 1, 2, and 3 years postoperatively, respectively (Kruskal-Wallis test, P < 0.001; Dunn’s test, **P < 0.01). …”
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    Pharmacologically induced torpor by 5′-AMP does not decrease platelet count despite decreased body temperature. by Edwin L. de Vrij (550179)

    Published 2014
    “…<p>A) Pharmacologically induced torpor by 5′-AMP in mice does not decrease platelet count during torpor and shows an increase upon arousal. …”
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    Dynamics of cortisol levels measured in pregnant women during pregnancy determined at different ANC visits. by Francois Kiemde (5369657)

    Published 2024
    “…In both group, cortisol concentration increased in a sawtooth pattern during pregnancy with peaks at V2(28<sup>th</sup>±1 week) and V4 32<sup>th</sup> ±1 week), before decreasing at V5 which is part of post-partum.…”
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    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”
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