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Showing 1 - 20 results of 5,751 for search '(( significantly ((longer decrease) OR (linear decrease)) ) OR ( significantly impacts decrease ))*', query time: 0.43s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    The linearly decreasing convergence factor a.

    The linearly decreasing convergence factor a. by Junhao Wei (6816803)

    Published 2025
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  9. 9
    Multiple linear regression analysis results.

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

    Published 2025
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  10. 10
    Brain regions with significantly decreased activations for the Raven task are shown in blue.

    Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

    Published 2025
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  11. 11
    Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model.

    Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model. by Aroon La-up (14095691)

    Published 2025
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  12. 12
    Linear Mixed-Effects Model analysis of bone mineral density changes in relation to urinary cadmium levels in a 3-Year Period.

    Linear Mixed-Effects Model analysis of bone mineral density changes in relation to urinary cadmium levels in a 3-Year Period. by Aroon La-up (14095691)

    Published 2025
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  13. 13
    Data.

    Data. by Aroon La-up (14095691)

    Published 2025
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  14. 14
    A slight negative trend in the relationship between U-Cd levels and BMD in both 2019 and 2022, as evident from the slightly downward-sloping regression lines in both years. However, no statistically significant relationship was found.

    A slight negative trend in the relationship between U-Cd levels and BMD in both 2019 and 2022, as evident from the slightly downward-sloping regression lines in both years. However... by Aroon La-up (14095691)

    Published 2025
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  15. 15
    Statistically significant linear increase in use of antidepressants during the observed time period.

    Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  16. 16
    Statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period.

    Statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  17. 17
    Statistically significant linear increase in use of antidementia medications and antipsychotics during the observed time period.

    Statistically significant linear increase in use of antidementia medications and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  18. 18
    The relationship between longer TV watching time and cognitive scores.

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

    Published 2025
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  19. 19
    Linear regression equation and concentration range of each SCFAs standard.

    Linear regression equation and concentration range of each SCFAs standard. by Shudan Liu (7049483)

    Published 2025
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  20. 20
    Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period.

    Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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