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Showing 1 - 20 results of 39,284 for search '(( significant changes based ) OR ( significantly ((longer decrease) OR (linear decrease)) ))', query time: 1.44s Refine Results
  1. 1
    Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model.

    Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

    Published 2022
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  2. 2
    Estimated marginal means of the MF per muscle, based on the linear mixed-effects model.

    Estimated marginal means of the MF per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

    Published 2022
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  3. 3
    Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups.

    Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups. by Matti Viluksela (321291)

    Published 2024
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  4. 4
    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  5. 5
    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  6. 6
    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  7. 7
    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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  8. 8
    Levels of initial albumin, prealbumin, and ischemia-modified albumin based on disease diagnosis and new-onset disease.

    Levels of initial albumin, prealbumin, and ischemia-modified albumin based on disease diagnosis and new-onset disease. by Sung Soo Ahn (9033695)

    Published 2022
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  9. 9
    The relationship between longer TV watching time and risk of cognitive impairment.

    The relationship between longer TV watching time and risk of cognitive impairment. by Hattapark Dejakaisaya (22238613)

    Published 2025
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  10. 10
    Multiple linear regression analysis results.

    Multiple linear regression analysis results. by Muxi Chen (9294270)

    Published 2025
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  11. 11
    Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis).

    Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

    Published 2025
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  12. 12
    Linear regression analysis of changes of E’ and LVGLS with hemodynamic data (N = 29).

    Linear regression analysis of changes of E’ and LVGLS with hemodynamic data (N = 29). by Ho-Min Yoon (18310064)

    Published 2024
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  13. 13
    Longer <i>L</i><sub><i>u</i></sub> significantly decreases and delays the peak of the sound-evoked CAPs of SGN fibers.

    Longer <i>L</i><sub><i>u</i></sub> significantly decreases and delays the peak of the sound-evoked CAPs of SGN fibers. by Maral Budak (6680351)

    Published 2021
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  14. 14
    Longer <i>L</i><sub><i>h</i></sub> significantly decreases and delays the peak of the sound-evoked CAPs of SGN fibers.

    Longer <i>L</i><sub><i>h</i></sub> significantly decreases and delays the peak of the sound-evoked CAPs of SGN fibers. by Maral Budak (6680351)

    Published 2021
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  15. 15
    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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  16. 16
    Longer treatment is associated with increased post-rebound setpoint viral level.

    Longer treatment is associated with increased post-rebound setpoint viral level. by Mykola Pinkevych (125551)

    Published 2023
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  17. 17
    Dynamic changes of overseas sales and profit margin.

    Dynamic changes of overseas sales and profit margin. by Caihong Wen (17904307)

    Published 2024
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  18. 18
    The summarized graph for the values of the coefficients of significant linear trends.

    The summarized graph for the values of the coefficients of significant linear trends. by Ekaterina Ivanova (230383)

    Published 2022
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  19. 19
    Analysis of sleep duration and FT3 using segmented linear regression.

    Analysis of sleep duration and FT3 using segmented linear regression. by Mingzheng Wang (4918222)

    Published 2023
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  20. 20
    Results of the multivariate generalized linear model (GLM) analysis and the between-subjects effects of the Long-COVID with high fibro fatigue (FF) on the biomarkers.

    Results of the multivariate generalized linear model (GLM) analysis and the between-subjects effects of the Long-COVID with high fibro fatigue (FF) on the biomarkers. by Wasim Talib Mahdi Al Masoodi (19501093)

    Published 2024
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