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significantly vary » significantly larger (Expand Search), significantly worse (Expand Search), significantly less (Expand Search)
linear decrease » linear increase (Expand Search)
vary increased » care increased (Expand Search), dalys increased (Expand Search), may increase (Expand Search)
inter decrease » water decreases (Expand Search), teer decrease (Expand Search), step decrease (Expand Search)
Showing 1 - 20 results of 15,050 for search '(( significantly vary increased ) OR ( significant ((inter decrease) OR (linear decrease)) ))', query time: 0.52s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    Multiple linear regression analysis results.

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

    Published 2025
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  5. 5
    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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  6. 6
    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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  7. 7
    Features that varied significantly with temperature.

    Features that varied significantly with temperature. by Patrick Barko (10152481)

    Published 2024
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  8. 8
    Features that varied significantly with storage time.

    Features that varied significantly with storage time. by Patrick Barko (10152481)

    Published 2024
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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    Significantly variable serum polyunsaturated fatty acid metabolites.

    Significantly variable serum polyunsaturated fatty acid metabolites. by Patrick C. Barko (10668358)

    Published 2024
    “…Linear mixed-effects models were used to identify serum metabolites that varied significantly among the storage conditions. …”
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  13. 13
    Weights did not vary significantly during PPS treatment.

    Weights did not vary significantly during PPS treatment. by Penny A. Rudd (10298691)

    Published 2021
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  14. 14
    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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  15. 15
    <i>CTSZ</i> SNPs significantly associated with TB severity in Ugandan household contact study cohorts, sorted by ascending <i>p</i>-value.

    <i>CTSZ</i> SNPs significantly associated with TB severity in Ugandan household contact study cohorts, sorted by ascending <i>p</i>-value. by Rachel K. Meade (22216529)

    Published 2025
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  16. 16
    Significant inter-relationships between baseline variables and MSCC or MCS.

    Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

    Published 2025
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  17. 17
    The linearly decreasing convergence factor a.

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

    Published 2025
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  18. 18
    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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  19. 19
    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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  20. 20
    Significantly variable serum amino acid and gamma-glutamyl amino acid metabolites.

    Significantly variable serum amino acid and gamma-glutamyl amino acid metabolites. by Patrick C. Barko (10668358)

    Published 2024
    “…Linear mixed-effects models were used to identify serum metabolites that varied significantly among the storage conditions. …”
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