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Showing 61 - 80 results of 117,139 for search '(( significant grouped based ) OR ( significant ((gap decrease) OR (a decrease)) ))', query time: 1.28s Refine Results
  1. 61
    <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
    “…<p>A) Allele frequency of rs9274619:A in T2D and non-T2D samples grouped by raw TG values. Significance of samples proportions between the groups was assessed using Fisher’s exact test for the lower and higher TG bins. …”
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  2. 62
    Bacterial groups that significantly changed over time within the control group based on sequence analysis.

    Bacterial groups that significantly changed over time within the control group based on sequence analysis. by Evangelia M. Stavroulaki (11840809)

    Published 2021
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  3. 63
    Clinical characteristics of the GBM group.

    Clinical characteristics of the GBM group. by Sang-Soo Choi (11820298)

    Published 2021
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  4. 64
    Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood.

    Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

    Published 2022
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  5. 65
    Absorption peaks of groups.

    Absorption peaks of groups. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
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  6. 66
    Principal component analysis with correlation circles (A, C) and factor maps (B, D) showing the grouping of the 29 <i>Synsepalum dulcificum</i> accessions based on 20 mineral element contents of the leaves (A, B) and the roots (C, D).

    Principal component analysis with correlation circles (A, C) and factor maps (B, D) showing the grouping of the 29 <i>Synsepalum dulcificum</i> accessions based on 20 mineral eleme... by Rabiath F. R. Adigoun (14189090)

    Published 2025
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  7. 67
    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
    “…<p>Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines.…”
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  8. 68
    PiCRUST prediction of the functional potential of a microbial community based on 16S rRNA gene sequencing data.

    PiCRUST prediction of the functional potential of a microbial community based on 16S rRNA gene sequencing data. by Jun Ho Song (1675123)

    Published 2024
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  9. 69
    Spikes of (significant) time bins.

    Spikes of (significant) time bins. by András Ecker (18137289)

    Published 2024
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  10. 70
    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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  11. 71
    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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  12. 72
    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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  13. 73
    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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  14. 74
    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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  15. 75
    Bacterial groups that significantly changed over time within the control group based on qPCR analysis.

    Bacterial groups that significantly changed over time within the control group based on qPCR analysis. by Evangelia M. Stavroulaki (11840809)

    Published 2021
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  16. 76
    The number of gauging cross-sections where a statistically significant decreasing trend was identified.

    The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

    Published 2024
    “…<p>The number of gauging cross-sections where a statistically significant decreasing trend was identified.…”
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  17. 77
    Results based on the Brown decomposition.

    Results based on the Brown decomposition. by Mingming Li (502877)

    Published 2024
    “…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21<sup>st</sup> century China has not decreased. …”
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  18. 78
    Statistically significant determinants of ED utilisation based on multivariable analysis (dummy table).

    Statistically significant determinants of ED utilisation based on multivariable analysis (dummy table). by Xuan Rong Tang (12771835)

    Published 2022
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  19. 79
    The significant metabolites between adjacent groups.

    The significant metabolites between adjacent groups. by Zhonglong Zhao (1546420)

    Published 2024
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  20. 80
    Survival curves for different sex and age groups based on unadjusted (A) and adjusted (B) Cox model.

    Survival curves for different sex and age groups based on unadjusted (A) and adjusted (B) Cox model. by Hui Ouyang (245739)

    Published 2025
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