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significant applications » significant implications (Expand Search), significant associations (Expand Search), significant variations (Expand Search)
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Showing 1 - 5 results of 5 for search '(( significant ((gap decrease) OR (mean decrease)) ) OR ( significant applications methods ))~', query time: 0.30s Refine Results
  1. 1
    Eccentric resistance exercise determinants.

    Eccentric resistance exercise determinants. by Sebastian Vetter (4018448)

    Published 2023
    “…The methods were shown to be applicable for interventional studies. …”
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  2. 2
    Experimental design.

    Experimental design. by Sebastian Vetter (4018448)

    Published 2023
    “…The methods were shown to be applicable for interventional studies. …”
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  3. 3
    Data Sheet 1_Preclinical evidence for luteolin in ulcerative colitis: a meta-analysis and systematic review.docx

    Data Sheet 1_Preclinical evidence for luteolin in ulcerative colitis: a meta-analysis and systematic review.docx by Yiyi Feng (12530035)

    Published 2025
    “…Further clinical studies and translational research are essential to bridge the gap between animal models and human applications.…”
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  4. 4
    Potential benefits and neural correlates of adjunctive acupuncture therapyin unilateral stroke rehabilitation

    Potential benefits and neural correlates of adjunctive acupuncture therapyin unilateral stroke rehabilitation by Jia Fan (20107030)

    Published 2024
    “…Previous studies have shown it to improve balance, decrease spasticity, increase muscle strength, and enhance mean blood-flow velocity in the brains of stroke patients. …”
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  5. 5
    Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event

    Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

    Published 2025
    “…Original, measured values retain a flag of 0.<br><br><i>2. Mean Imputation Fallback for Predictors:</i> Any remaining gaps in these non-PM₂.₅ pollutant columns (after linear interpolation) were filled using the overall column mean (sklearn.impute.SimpleImputer(strategy='mean')) to ensure a complete predictor set for the subsequent step. …”
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