Showing 1 - 20 results of 23,723 for search '(((( 50 ((mean decrease) OR (_ decrease)) ) OR ( 20 means decrease ))) OR ( 5 nm decrease ))', query time: 1.21s Refine Results
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    The decrease or inhibition of Hsp90 induced REST degradation. by Raúl Orozco-Díaz (7067624)

    Published 2019
    “…(D) The level of REST dramatically reduced in differentiated SH-SY5Y cells treated with GA (1 μM) or PU-H71 (50 nM) at 24 h. …”
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    Scenario (6): Parameter variation (50% decrease)—With 5 N.m load applied at t = 0.3s. by Djaloul Karboua (16510091)

    Published 2023
    “…<p>Scenario (6): Parameter variation (50% decrease)—With 5 N.m load applied at t = 0.3s.…”
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    20E repressed ILP-mediated cell membrane translocation of HaP60 and HaP110, dephosphorylated HaP60 and HaP110, and decreased their interaction. by Yu-Qin Di (8752317)

    Published 2021
    “…Insulin (5 μg/mL for 1 h); PBS as control of insulin; 20E (5 μM for 6 h); DMSO as control of 20E; TPI-1 (100 nM). …”
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    Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

    Published 2025
    “…<p>(a) Left: noise-evoked activity rates at different noise intensities for chronically tracked PPys cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 285 neurons, mean ± SE). Activity rates decreased during repeated stress compared to baseline (2-way ANOVA, condition F = 185.6, <i>p</i> = 4.8 × 10<sup>−42</sup>, condition: intensity interaction F = 10.37, <i>p</i> = 9.3 × 10<sup>−21</sup>, nested ANOVA (mouse nested within session), condition F = 174, <i>p</i> = 1.5 × 10<sup>−39</sup>, condition: intensity interaction F = 12.7, <i>p</i> = 2 × 10<sup>−26</sup>, post hoc for each level baseline versus repetitive stress <i>p</i> < 0.01 for all levels above 50 dB, all Bonferroni corrected). …”
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    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”