Showing 41 - 60 results of 2,411 for search '(( significant rule based ) OR ( significant ((teer decrease) OR (greatest decrease)) ))', query time: 1.91s Refine Results
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    DWV abundance variable over time and greatest in October. by Cayley Faurot-Daniels (9354170)

    Published 2020
    “…The first derivative of the fitted spline in panel A was calculated to identify the rate of change of DWV abundance throughout time and 95% confidence intervals (gray) were built around the first derivative to distinguish time periods when the change in virus abundance is significantly different from zero. DWV abundance significantly decreased (red) from 0 to 100 days of the study and significantly increased (blue) from 150 to 250 days of the study.…”
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    AFMUC- Restriction Rules. by Shumaila Iqbal (22238550)

    Published 2025
    “…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”
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    Changes in choice representations across rule-based and residual-state decision-making. by R. Becket Ebitz (7841318)

    Published 2020
    “…This is calculated separately for both residual (red) and rule-based (blue) decisions. Error bars = STE across unique matrix elements, asterisks = significant contrasts in both the example pseudopopulation (all <i>p</i> < 0.001, paired <i>t</i> test) and across pseudopopulations (all <i>p</i> < 0.001, bootstrap test, <b><a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3000951#pbio.3000951.s002" target="_blank">S2 Fig</a></b>). …”
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    Evolving flocking in embodied agents based on local and global application of Reynolds’ rules by Rita Parada Ramos (7571939)

    Published 2019
    “…However, only local, fragmented flocking behaviours tend to evolve when fitness scores are based on the individuals’ conformity to Reynolds’ rules. …”
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    Changes in choice representations across rule-based and residual-state decision-making across pseudopopulations. by R. Becket Ebitz (7841318)

    Published 2020
    “…This is calculated separately for both rule-based (blue) and residual (red) decisions. Dots = mean across pseudopopulations, error bars = 95% CI, asterisks = significant contrasts, all <i>p</i> < 0.0001. …”
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    Cross-validated changes in choice representations across rule-based and residual-state decision-making. by R. Becket Ebitz (7841318)

    Published 2020
    “…Residual choices that shared a feature were not closer together than choices that did not (mean difference = 0.01, 95% CI = [−0.31, 0.33], <i>p</i> = 0.48). However, rule-based choices that shared a feature were more similar than rule-based choices that did not share a feature (mean difference = 0.97, 95% CI = [0.68, 1.27]). …”
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    Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers. by Luqiong Liu (11537092)

    Published 2024
    “…<p>(<b>A)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on days 1–22. (<b>B)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on day 22. …”
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    Restrictiveness of AFMUC Restriction Rules. by Shumaila Iqbal (22238550)

    Published 2025
    “…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”