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Showing 21 - 40 results of 104,132 for search '(( significant model based ) OR ( significant ((teer decrease) OR (we decrease)) ))', query time: 1.85s Refine Results
  1. 21
    BVAR model results.

    BVAR model results. by Raga M. Elzaki (17841337)

    Published 2024
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  2. 22
    Cortical mapping of the fraction of significant voxels for binary-labeling models.

    Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

    Published 2021
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  3. 23
    BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells.

    BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells. by Luqiong Liu (11537092)

    Published 2024
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  4. 24
    PLS-SEM bootstrapping model significant estimation.

    PLS-SEM bootstrapping model significant estimation. by Ghulam Raza Sargani (9455118)

    Published 2021
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  5. 25
    Significance testing results of the structural model path coefficients.

    Significance testing results of the structural model path coefficients. by Xiangge Zhao (18264780)

    Published 2025
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  6. 26
    The significance of the inner model and the results of the path coefficient.

    The significance of the inner model and the results of the path coefficient. by Yujun Jiang (5374481)

    Published 2024
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  7. 27
    Significant predictors are listed respectively for each model.

    Significant predictors are listed respectively for each model. by Christopher L. Cummings (3615152)

    Published 2025
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  8. 28
    List of the hub-genes whose degree decreased from IL and PL to LHB.

    List of the hub-genes whose degree decreased from IL and PL to LHB. by Souvik Seal (12437166)

    Published 2023
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  9. 29
    AIC and number of significant covariates (#) for the BF based and the saturated models over the 58 locations.

    AIC and number of significant covariates (#) for the BF based and the saturated models over the 58 locations. by Ana Martins (187412)

    Published 2021
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  10. 30
    Comparison of the fraction of significant voxels between original and control word vector-based models.

    Comparison of the fraction of significant voxels between original and control word vector-based models. by Satoshi Nishida (690175)

    Published 2021
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  11. 31
    Eigenvalue stability condition of the BVAR model.

    Eigenvalue stability condition of the BVAR model. by Raga M. Elzaki (17841337)

    Published 2024
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  12. 32
    Parasite burden is significantly decreased in the small intestine of <i>taiep</i> infected rats.

    Parasite burden is significantly decreased in the small intestine of <i>taiep</i> infected rats. by Karen Elizabeth Nava-Castro (6940340)

    Published 2020
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  13. 33
    Cortical mapping of fraction of significant voxels.

    Cortical mapping of fraction of significant voxels. by Satoshi Nishida (690175)

    Published 2021
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  14. 34
    Standardized effects and parameters significance (structural equation model).

    Standardized effects and parameters significance (structural equation model). by Ana Kinkead (10912592)

    Published 2021
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  15. 35
    Optimal lag selection criteria of the BVAR model.

    Optimal lag selection criteria of the BVAR model. by Raga M. Elzaki (17841337)

    Published 2024
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  16. 36
    Significant test result of two forecasting models.

    Significant test result of two forecasting models. by Hongzhi Wang (617138)

    Published 2025
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  17. 37
    Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies.

    Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

    Published 2025
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  18. 38
    Significant variation exists in patient encounters based on sociodemographic factors.

    Significant variation exists in patient encounters based on sociodemographic factors. by Han Ye (4673098)

    Published 2021
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  19. 39
    Conceptual model.

    Conceptual model. by Jacquelyn Y. Taylor (6386456)

    Published 2024
    “…To account for multiple testing, we will use FDR adjustment with a corrected p-value of <0.05 regarded as statistically significant. …”
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  20. 40
    Models designed through evolutionary model discovery insights are significantly more robust.

    Models designed through evolutionary model discovery insights are significantly more robust. by Chathika Gunaratne (9873921)

    Published 2020
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