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Showing 1 - 20 results of 138,942 for search '(( ((significant effect) OR (significant decrease)) based ) OR ( significant a decrease ))', query time: 1.57s Refine Results
  1. 1
    Significant variables in decreasing importance for varietal clustering based on Random forest method.

    Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

    Published 2021
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  2. 2
    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC.

    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

    Published 2021
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  3. 3
    Significant disease phenotypes with LADA loci.

    Significant disease phenotypes with LADA loci. by Margaret Sunitha Selvaraj (13994016)

    Published 2022
    Subjects:
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  4. 4
    Comparison of questionnaire scores among genotypes for the significant associations.

    Comparison of questionnaire scores among genotypes for the significant associations. by Dai Nogimura (21445649)

    Published 2025
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  5. 5
    Plasma metabolites that significantly differ between HFD-fed and chow-fed minipigs.

    Plasma metabolites that significantly differ between HFD-fed and chow-fed minipigs. by Ditte Olsen Lützhøft (10837857)

    Published 2024
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  6. 6
    Minimum number of patients to detect a significant protective effect of a drug against BRAO-induced GCL thickness loss.

    Minimum number of patients to detect a significant protective effect of a drug against BRAO-induced GCL thickness loss. by Thomas R. Shearer (9761486)

    Published 2023
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  7. 7
    Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation (SCr-ED).

    Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation (SCr-ED). by M. S. A. Niemantsverdriet (11886431)

    Published 2021
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  8. 8
    M<sup>pro</sup> confers a significant reduction in growth in yeast caused by decreases in a variety of cellular proteins.

    M<sup>pro</sup> confers a significant reduction in growth in yeast caused by decreases in a variety of cellular proteins. by Jin Ou (16914305)

    Published 2023
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  9. 9
    Modifying the thresholds of MT and HT fibers does not have a significant effect on CAP features for different HHL scenarios.

    Modifying the thresholds of MT and HT fibers does not have a significant effect on CAP features for different HHL scenarios. by Maral Budak (6680351)

    Published 2021
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  10. 10
    Significance of cross-correlation map of nonlinear measures across EEG channels.

    Significance of cross-correlation map of nonlinear measures across EEG channels. by Zahra Naghdabadi (17721096)

    Published 2024
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  11. 11
    Plasma metabolites that significantly differ between female HFD-fed and chow-fed minipigs.

    Plasma metabolites that significantly differ between female HFD-fed and chow-fed minipigs. by Ditte Olsen Lützhøft (10837857)

    Published 2024
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  12. 12
    Plasma metabolites that significantly differ between male HFD-fed and chow-fed minipigs.

    Plasma metabolites that significantly differ between male HFD-fed and chow-fed minipigs. by Ditte Olsen Lützhøft (10837857)

    Published 2024
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  13. 13
    Lymphocytes decreased in mouse pneumonia model.

    Lymphocytes decreased in mouse pneumonia model. by Qi Xu (134661)

    Published 2025
    Subjects: “…improving treatment effectiveness…”
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  14. 14
    <i>HLA-DQB1/DQA2</i> rs9274619:A significantly interacts with T2D on triglycerides.

    <i>HLA-DQB1/DQA2</i> rs9274619:A significantly interacts with T2D on triglycerides. by Margaret Sunitha Selvaraj (13994016)

    Published 2022
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  15. 15
    Image_4_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF

    Image_4_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

    Published 2020
    “…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”
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  16. 16
    Image_1_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF

    Image_1_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

    Published 2020
    “…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”
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  17. 17
    Image_3_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF

    Image_3_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

    Published 2020
    “…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”
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  18. 18
    Image_5_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF

    Image_5_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

    Published 2020
    “…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”
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  19. 19
    Image_2_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF

    Image_2_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

    Published 2020
    “…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”
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  20. 20
    <i>BZP4</i> expression differs significantly between genotypes.

    <i>BZP4</i> expression differs significantly between genotypes. by Thomas J. C. Sauters (17382864)

    Published 2023
    “…<b>B.</b> A Venn Diagram displaying the number of genes with increased and decreased expression for amoeba and control conditions based on the parental allele. …”
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