Showing 21 - 40 results of 2,488 for search '(( third ((wave decrease) OR (nn decrease)) ) OR ( a ((larger decrease) OR (linear decrease)) ))', query time: 0.54s Refine Results
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    The results of linear mixed model. by Soheila Qanbari (20455173)

    Published 2024
    “…The tDCS group demonstrated a significant decrease in AMT of MF and TrA/IO muscles (P < 0.05) and an increase in N80 amplitude (P = 0.027), with no significant changes in the control group. …”
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    Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

    Published 2024
    “…The stress-deformation model of the single uncoupled joint (g-λ model with λ ≥ 1) is employed to depict the nonlinearity of uncoupled joints, with a greater value of the parameter λ signifying a lower degree of non-linearity in the joint model curve. …”
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    Results of Multiple Linear Regression. by Benjamin S. Killen (22766029)

    Published 2025
    “…We then used multiple linear regressions to examine spatiotemporal mechanisms underlying gait speed changes across terrains. …”
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    Multiple linear regression analysis results. by Muxi Chen (9294270)

    Published 2025
    “…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …”
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    Study-related adverse events. by Benjamin R. Lewis (22279166)

    Published 2025
    “…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”
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    Study flow chart. by Benjamin R. Lewis (22279166)

    Published 2025
    “…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”