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Showing 1 - 20 results of 9,830 for search '(( significantly ((marked decrease) OR (linear decrease)) ) OR ( significantly differ decrease ))', query time: 0.57s Refine Results
  1. 1
    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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  2. 2
    Significantly Enriched Pathways.

    Significantly Enriched Pathways. by Jiyong Zhang (2498740)

    Published 2025
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  3. 3
    The linearly decreasing convergence factor a.

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

    Published 2025
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  4. 4
    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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  5. 5
    Significant condition.

    Significant condition. by Junxia Zhou (14381598)

    Published 2024
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  6. 6
    Results of significance for regression factors.

    Results of significance for regression factors. by Junxia Zhou (14381598)

    Published 2024
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  7. 7
    Linear contact model.

    Linear contact model. by Qingwen Li (1510687)

    Published 2025
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  8. 8
    Linear regression.

    Linear regression. by Myriam Aïche (22290591)

    Published 2025
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  9. 9
    Differences in immune infiltration between NAFLD and control groups.

    Differences in immune infiltration between NAFLD and control groups. by Jiyong Zhang (2498740)

    Published 2025
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  10. 10
    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.

    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    Variations in slope utilization by a female red panda across different time periods and in comparison with their wild individuals. Different capital letters indicated significant differences in red pandas’ utilization of various slope, whereas identical capital letters suggested no significant differences. All statistical analyses were conducted at a 95% confidence level.

    Variations in slope utilization by a female red panda across different time periods and in comparison with their wild individuals. Different capital letters indicated significant d... by Yanshan Zhou (14131359)

    Published 2025
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  15. 15
    Variations in altitude utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant differences in red pandas’ utilization of various altitude, whereas identical capital letters suggested no significant differences. All statistical analyses were conducted at a 95% confidence level.

    Variations in altitude utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant diff... by Yanshan Zhou (14131359)

    Published 2025
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  16. 16
    Variations in aspect utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant differences in red pandas’ utilization of various aspect, whereas identical capital letters suggested no significant differences. All statistical analyses were conducted at a 95% confidence level.

    Variations in aspect utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant differ... by Yanshan Zhou (14131359)

    Published 2025
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  17. 17
    Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.

    Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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  18. 18
    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.

    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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  19. 19
    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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  20. 20
    nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU.

    nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

    Published 2025
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