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significant component » significant amount (Expand Search)
component increases » content increases (Expand Search), component includes (Expand Search), complexity increases (Expand Search)
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Showing 61 - 80 results of 15,284 for search '(( significant ((fold decrease) OR (nn decrease)) ) OR ( significant component increases ))', query time: 0.84s Refine Results
  1. 61
    Deletion of <i>sagA</i> alone results in a decrease in nasopharyngeal infection.

    Deletion of <i>sagA</i> alone results in a decrease in nasopharyngeal infection. by Blake A. Shannon (14197601)

    Published 2024
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  2. 62
    Estimated variance/covariance components for each endpoint.

    Estimated variance/covariance components for each endpoint. by Guoqiao Wang (5738744)

    Published 2025
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  3. 63
    Comparison of the performance of the 10 CV (10 fold cross validation) model and the permutated model.

    Comparison of the performance of the 10 CV (10 fold cross validation) model and the permutated model. by Sakuni Rankothgedera (11457923)

    Published 2021
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  4. 64
    Study timeline and components.

    Study timeline and components. by Anh N. Ly (22766295)

    Published 2025
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  5. 65
    The P2 component results.

    The P2 component results. by Kamil K. Imbir (5906273)

    Published 2022
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  6. 66
    The N450 component results.

    The N450 component results. by Kamil K. Imbir (5906273)

    Published 2022
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  7. 67
    The P300 component results.

    The P300 component results. by Kamil K. Imbir (5906273)

    Published 2022
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  8. 68
    Principal components extracted by the principal component analysis (PCA).

    Principal components extracted by the principal component analysis (PCA). by Shanis Barnard (3152625)

    Published 2023
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  9. 69
    Key significant pathways in the final models of self-compassion.

    Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

    Published 2025
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  10. 70
    Rotated component matrix.

    Rotated component matrix. by Zhonger Wang (21238462)

    Published 2025
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  11. 71
    Relative abundance (%) of the small placolith components in the studied interval of core SO130-289KL.

    Relative abundance (%) of the small placolith components in the studied interval of core SO130-289KL. by Jose Dominick Guballa (19739909)

    Published 2024
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  12. 72
    IoU significance comparison of the effect of adding the newly designed components to the baseline (the group numbers on X axis correspond to the step numbers in

    IoU significance comparison of the effect of adding the newly designed components to the baseline (the group numbers on X axis correspond to the step numbers in by Zhanlin Ji (12581332)

    Published 2025
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  13. 73
    Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping.

    Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping. by Xinxin Li (281237)

    Published 2022
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  14. 74
    Significant genes for phenotype AD clinical diagnosis by meta VC-TWAS with filtered DPR weights.

    Significant genes for phenotype AD clinical diagnosis by meta VC-TWAS with filtered DPR weights. by Shizhen Tang (10521706)

    Published 2021
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  15. 75
    Rotated component matrix.

    Rotated component matrix. by Jiaqiang Sun (176863)

    Published 2025
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  16. 76
    Long COVID prevalence decreases with vaccine uptake in the U.S.

    Long COVID prevalence decreases with vaccine uptake in the U.S. by Manlio De Domenico (626037)

    Published 2023
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  17. 77
    K-fold cross validation accuracy of different models.

    K-fold cross validation accuracy of different models. by Shayla Naznin (13014015)

    Published 2025
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  18. 78
    Principal Component Analysis (PCA) of the Sham, 50% and 70% PH groups.

    Principal Component Analysis (PCA) of the Sham, 50% and 70% PH groups. by Leonie Zieglowski (3587837)

    Published 2021
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  19. 79
    Principal Component Analysis of telemetric data of 50% and 70% PH groups.

    Principal Component Analysis of telemetric data of 50% and 70% PH groups. by Leonie Zieglowski (3587837)

    Published 2021
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  20. 80
    Temporal profiles of the key BO-NN features.

    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…Spearman correlations between the predicted and observed activity of the key BO-NN features were calculated and averaged over the six cross-validation folds. …”
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