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Showing 1 - 20 results of 87,267 for search '(( significantly showed increases ) OR ( significant ((inter decrease) OR (linear decrease)) ))', query time: 1.90s Refine Results
  1. 1
    Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period.

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

    Published 2025
    “…Ginkgo biloba showed a significant decline from 2008 to 2018, followed by a sharp increase from 2018 onward. …”
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  2. 2
    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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  3. 3
    Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoids during the observed time period.

    Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoid... by Jelena Filimonovic (22305307)

    Published 2025
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  4. 4
    Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines.

    Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines. by Nazima Nasrullah (6874496)

    Published 2023
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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    The results of linear mixed model.

    The results of linear mixed model. by Soheila Qanbari (20455173)

    Published 2024
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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
    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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  11. 11
    Scatter plots showing the relationships of GC-IPL/VD ratio with age.

    Scatter plots showing the relationships of GC-IPL/VD ratio with age. by Woo-Hyuk Lee (8496168)

    Published 2023
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  12. 12
    Scatter plots showing the relationships of GC-IPL thickness and VD with age.

    Scatter plots showing the relationships of GC-IPL thickness and VD with age. by Woo-Hyuk Lee (8496168)

    Published 2023
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  13. 13
    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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  14. 14
    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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  15. 15
    Histogram of cladogram and linear discriminant analysis (LDA) score.

    Histogram of cladogram and linear discriminant analysis (LDA) score. by Nguyen Thi Hai (12700147)

    Published 2022
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  16. 16
    Intra- and inter-day precision and accuracy.

    Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
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  17. 17
    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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  18. 18
    Inter-string cross-over.

    Inter-string cross-over. by Elham Mortazavi Moghaddam (16015219)

    Published 2023
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  19. 19
    Boxplots showing levels of explanatory variables determined to significantly explain survival to 28 d for fish that survived 7 d and had recorded metrics on surgical wounds.

    Boxplots showing levels of explanatory variables determined to significantly explain survival to 28 d for fish that survived 7 d and had recorded metrics on surgical wounds. by April S. Cameron (8622711)

    Published 2023
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  20. 20
    Hardness increase across different IDDSI levels and food categories.

    Hardness increase across different IDDSI levels and food categories. by Muxi Chen (9294270)

    Published 2025
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