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Showing 81 - 100 results of 53,488 for search '(( significant ((gap decrease) OR (mean decrease)) ) OR ( significant predictions based ))', query time: 1.19s Refine Results
  1. 81
    Preparatory neuronal activity in ALM is decreased, but remains significant in quiet trials devoid of movements.

    Preparatory neuronal activity in ALM is decreased, but remains significant in quiet trials devoid of movements. by Vahid Esmaeili (12700352)

    Published 2022
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  2. 82
    Total tau levels are significantly decreased in the healthy older brains compared to the younger brains.

    Total tau levels are significantly decreased in the healthy older brains compared to the younger brains. by Shreyasi Chatterjee (3531506)

    Published 2023
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  3. 83
    Significant driver genes predictive of drug response by SNV.

    Significant driver genes predictive of drug response by SNV. by Zeyuan Wang (6956759)

    Published 2024
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  4. 84
    CRISPRi knockdown of RgaR-dependent genes specifically and significantly decreases their transcript levels.

    CRISPRi knockdown of RgaR-dependent genes specifically and significantly decreases their transcript levels. by Adrianne N. Edwards (5646344)

    Published 2023
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  5. 85
    Mean volume and mean apical surface of chick neuroepithelial cells decreases between 2 and 3 days of development.

    Mean volume and mean apical surface of chick neuroepithelial cells decreases between 2 and 3 days of development. by Marina A. Ferreira (8174169)

    Published 2019
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  6. 86
    PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predation.

    PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

    Published 2025
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  7. 87
    AlphaMissense prediction of CFTR variants of unknown significance (VUS).

    AlphaMissense prediction of CFTR variants of unknown significance (VUS). by Eli Fritz McDonald (7382066)

    Published 2024
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  8. 88
    Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) and with weevils present for <i>T</i><sub><i>p</i></sub> years (right); each color represents a single experiment (100 simulations of 1 parameter set).

    Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

    Published 2025
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  9. 89
    The mean and standard deviation of parameters.

    The mean and standard deviation of parameters. by Sadaf Sepasgozar Sarkhosh (20436143)

    Published 2024
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  10. 90
    Example comments with BERT-based sentiment predictions and confidence scores.

    Example comments with BERT-based sentiment predictions and confidence scores. by Nafiseh Jabbari Tofighi (21819893)

    Published 2025
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  11. 91
    Means, standard deviations and intercorrelations.

    Means, standard deviations and intercorrelations. by Cheri Ostroff (13868468)

    Published 2023
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  12. 92
    Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type.

    Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type. by Charlotte A. Stoneham (10819125)

    Published 2021
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  13. 93
    Summary of significant treatment × time effect.

    Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

    Published 2024
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  14. 94
    The comparisons of power under 5% significance level based on 5000 Monte Carlo simulations.

    The comparisons of power under 5% significance level based on 5000 Monte Carlo simulations. by Long Liu (390523)

    Published 2022
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  15. 95
    Mean case duration before and after intervention (t-statistic = -3.35, p <i>< </i>0.001), indicating a statistically significant difference in means.

    Mean case duration before and after intervention (t-statistic = -3.35, p <i>< </i>0.001), indicating a statistically significant difference in means. by Mohammad Bakhtiari (11838264)

    Published 2025
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  16. 96
    Decadal mean regional hydrology.

    Decadal mean regional hydrology. by Nic Gedney (19762301)

    Published 2024
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  17. 97
    Image_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif

    Image_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  18. 98
    Table_1_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx

    Table_1_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  19. 99
    Table_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx

    Table_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  20. 100
    Table_2_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx

    Table_2_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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