Showing 2,621 - 2,640 results of 9,774 for search 'significantly ((((((we decrease) OR (mean decrease))) OR (larger decrease))) OR (linear decrease))', query time: 0.30s Refine Results
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    Minimal dataset. by Jennifer M. Kwan (3350321)

    Published 2024
    “…Secondary outcomes included all-cause mortality and the individual components of ACE. We additionally conducted an imaging substudy examining imaging characteristics from echocardiography (echo) and cardiac magnetic resonance (CMR) imaging.…”
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    Literature comparison. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  7. 2627

    Flow chart of proposed system. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  8. 2628

    Literature review. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  9. 2629

    IMU data and video synchronization. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  10. 2630

    Confusion matrix-punch classification. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
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    The TOR inhibitors Rapamycin and AZD-8055 strongly reduce RPS6 phosphorylation and cell proliferation in Vasa2+/Piwi1+ cells. by Eudald Pascual-Carreras (12115380)

    Published 2025
    “…<i>n</i> = 2–4 biological replicates per condition, with 15 individuals per replicate. Significance levels for Student <i>t</i> test are indicated for adjusted <i>p</i> values: *<i>p</i> < 0.05, ***<i>p</i> < 0.001, ***<i>p</i> < 0.0001. d: day(s), n.s.: non-significant. …”
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    Flowchart of participants in this study. by Yubo Teng (21246745)

    Published 2025
    “…Participants were categorized into quartiles based on UACR levels. Multivariate linear regression models were used to evaluate the association between UACR and cognitive scores. …”
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    Data. by Michael C. Payne (2664379)

    Published 2025
    “…Using a generalized estimating equation model that accounted for age, sex, bednet use, and sentinel site, we found no significant difference in the effectiveness of the two treatment approaches (p = 0.845 for Mf and p = 0.332 for CFA). …”
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