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Showing 261 - 280 results of 4,442 for search '(( significantly smaller decrease ) OR ( significantly ((mean decrease) OR (linear decrease)) ))', query time: 0.54s Refine Results
  1. 261
    Mean 0-30 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI).

    Mean 0-30 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

    Published 2025
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  2. 262
    Mean 0-20 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI).

    Mean 0-20 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

    Published 2025
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  3. 263
    Mean 0-10 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI).

    Mean 0-10 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

    Published 2025
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  4. 264
    Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)<sup>b'*'</sup>.

    Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  5. 265
    Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.

    Linear covariate analysis of prognostically significant metabolites.... by Emir Matpan (21655811)

    Published 2025
    “…<p>Linear covariate analysis of prognostically significant metabolites. …”
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  6. 266
    Description of variables in the mean technical efficiency function.

    Description of variables in the mean technical efficiency function. by James Anaba Akolgo (14129379)

    Published 2025
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  7. 267
    Effects of GJE extract treatment decreased accumulation of Col1a1.

    Effects of GJE extract treatment decreased accumulation of Col1a1. by Natnicha Suttawong (22367172)

    Published 2025
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  8. 268
    Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom).

    Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

    Published 2025
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  9. 269
    Mean (95% CI) and standard deviation of Lumbar Lordosis angle(˚) between two groups pre and post 60 minutes of standing.

    Mean (95% CI) and standard deviation of Lumbar Lordosis angle(˚) between two groups pre and post 60 minutes of standing. by Saeedeh Abbasi (9423189)

    Published 2025
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  10. 270
    Mean signal intensities obtained for each analyte at three different tissue-to-solvent volume proportions.

    Mean signal intensities obtained for each analyte at three different tissue-to-solvent volume proportions. by Ewa Paszkowska (21246702)

    Published 2025
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  11. 271
    Descriptive characteristics of service utilization by sex and year.

    Descriptive characteristics of service utilization by sex and year. by Fernanda Talarico (807333)

    Published 2024
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  12. 272
    Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods.

    Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

    Published 2024
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  13. 273
    Cohort characteristics.

    Cohort characteristics. by Fernanda Talarico (807333)

    Published 2024
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  14. 274
    Trend of specific mental health disorders for all services utilization between 2016 and 2022.

    Trend of specific mental health disorders for all services utilization between 2016 and 2022. by Fernanda Talarico (807333)

    Published 2024
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  15. 275
    Trend of mental health-related services utilization between 2016 and 2022.

    Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

    Published 2024
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  16. 276
    Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods.

    Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

    Published 2024
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  17. 277
    Trend of all service utilization for all conditions between 2016 and 2022.

    Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

    Published 2024
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  18. 278
    Threading Behavior and Dynamics of Ring-Linear Polymer Blends under Poiseuille Flow

    Threading Behavior and Dynamics of Ring-Linear Polymer Blends under Poiseuille Flow by Deyin Wang (6028850)

    Published 2024
    “…However, as rings are semiflexible (<i>K</i><sub>br</sub> > 0), the threading probability significantly decreases and then significantly increases as the flow field strength increases. …”
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  19. 279
    Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates.

    Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates. by Elena Bolt (20396190)

    Published 2024
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  20. 280
    Estimated infection intensity (mean egg count per gram) for infected stools.

    Estimated infection intensity (mean egg count per gram) for infected stools. by Roland Proud (11764892)

    Published 2025
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