Showing 1,541 - 1,560 results of 112,387 for search '(( 5 ((nn decrease) OR (a decrease)) ) OR ( a ((point decrease) OR (fold decrease)) ))', query time: 1.62s Refine Results
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    Characterization of CFDP1-H2A.Z interaction. by Gokul Gopinathan (7930679)

    Published 2024
    “…(E) CFDP1 depletion led to a remarkable reduction in chromatin incorporation of exogenously supplied FLAG-H2A.Z compared to control siRNA (con si)-treated cells (<2.5-fold). …”
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    Conduction slowing at branching points. by Tanmay A. Gokhale (3687244)

    Published 2018
    “…<p>(a) As the wavefront travels from right to left (direction of arrow) along the principal axis of conduction (obstacle-to-strand ratio: 5), activation isochrones reveal significant slowing at each branching point (top and bottom panels). …”
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    Inhibition of GLS1 decreases the proportion of CCR6 and CXCR3 expressing CD4<sup>+</sup> T cells. by Zeynep Sener (3146064)

    Published 2016
    “…BPTES and 968 significantly decrease the proportion of CCR6 expressing cells under normoxia both at day 3 and 5, whereas 968 but not BPTES decrease the proportion of CCR6 expressing cells under hypoxia both at day 3 and 5. …”
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    Effect of Kif5B RNAi on assisted diffusion during Ad5 transport. by Jie Zhou (28945)

    Published 2018
    “…Kif5B siRNA leads to a ~20% decrease in Ad5 infectivity. …”
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    Response rate of patients with <i>CYP3A4</i> and <i>CYP3A5</i> polymorphisms after tacrolimus initiation. by Maizumi Furuse (10688237)

    Published 2021
    “…Clinical response was defined as a partial Mayo score reduction of ≥2 points accompanied by a decrease of at least 30% from baseline and a decrease in the rectal bleeding subscore of ≥1 or an absolute rectal bleeding subscore of 0 or 1. …”
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    Selection of crossing point. by Yanchun Li (248761)

    Published 2025
    “…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”