Showing 301 - 320 results of 41,701 for search '(( 50 ((a decrease) OR (greater decrease)) ) OR ( a ((nn decrease) OR (point decrease)) ))', query time: 0.97s Refine Results
  1. 301

    Rac1 activity rapidly decreases upon cell-cell adhesion in 3-D cell aggregates. by Khameeka N. Kitt (227731)

    Published 2011
    “…High levels of active Rac1 at 0 minutes rapidly decreased (∼66%) within 5 minutes of cell-cell adhesion, and declined to a baseline level by 30 minutes (A). …”
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    Decreased virulence observed during <i>in planta</i> infection with <i>ΔFgknr4</i>. by Erika Kroll (20537020)

    Published 2025
    “…<p><b>A.</b> Wheat spike infection assay done on the susceptible cultivar Bobwhite point inoculated with sterile water only (M), wild-type <i>F</i>. …”
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    Response of small airway tissues infected with EV-D94 and decreasing doses of EV-D68. by Ines Cordeiro Filipe (5849144)

    Published 2022
    “…<p>Tissues were infected with 1E7 RNA copies of EV-D94 (equivalent to 2,46E4 TCID50) and 1E7 RNA copies of EV-D68 (3,3E5 TCID50) as well as decreasing doses of the latter. …”
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    List of genes that exhibited decreasing ranking across time point as revealed by the MNI analysis, with a peak at 2 week in the muscle of mice. by Youngshim Choi (394363)

    Published 2013
    “…<p>List of genes that exhibited decreasing ranking across time point as revealed by the MNI analysis, with a peak at 2 week in the muscle of mice.…”
  8. 308

    Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform by Weihong Sun (546823)

    Published 2024
    “…Our findings offer a promising avenue for developing high-precision molecular detection tools for point-of-care (POC) applications.…”
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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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