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Showing 21 - 40 results of 74,091 for search '(( significant models based ) OR ( significant ns decrease ))', query time: 0.92s Refine Results
  1. 21
    Passive transfer of humanized anti-NS1 mAb 33D2 into DENV-inoculated mice decreases viral titer and NS1 level in mouse sera.

    Passive transfer of humanized anti-NS1 mAb 33D2 into DENV-inoculated mice decreases viral titer and NS1 level in mouse sera. by Sen-Mao Tien (12481273)

    Published 2022
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  2. 22
    The ten most significant features of the Random Forest model based on classification accuracy.

    The ten most significant features of the Random Forest model based on classification accuracy. by Nguyen Tat Thanh (10296398)

    Published 2024
    Subjects:
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  3. 23
    Significant test result of two forecasting models.

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

    Published 2025
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  4. 24
    Typical examples of cystometry charts on NS+Sham, AcOH+Sham, and AcOH+Laser group.

    Typical examples of cystometry charts on NS+Sham, AcOH+Sham, and AcOH+Laser group. by Naoya Ishibashi (18722999)

    Published 2024
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  5. 25
    Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors.

    Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors. by Satoshi Nishida (690175)

    Published 2021
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  6. 26
    Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors.

    Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

    Published 2021
    “…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”
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  7. 27
    Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors.

    Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors. by Satoshi Nishida (690175)

    Published 2021
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  8. 28
    Continuous usage intention model with weights and significance.

    Continuous usage intention model with weights and significance. by Jing Liu (38537)

    Published 2025
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  9. 29
    Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis.

    Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis. by Chiara E. Hampton (16484687)

    Published 2023
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  10. 30
    Ultrasound images of nsPEFs and RFA of VX2 liver tumor models.

    Ultrasound images of nsPEFs and RFA of VX2 liver tumor models. by Qing-Gang Li (273341)

    Published 2023
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  11. 31
    Consistency of inter-regional patterns of significant-voxel fraction for word2vec vectors.

    Consistency of inter-regional patterns of significant-voxel fraction for word2vec vectors. by Satoshi Nishida (690175)

    Published 2021
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  12. 32
    Cortical mapping of the fraction of significant voxels for other dimensions of word2vec vectors.

    Cortical mapping of the fraction of significant voxels for other dimensions of word2vec vectors. by Satoshi Nishida (690175)

    Published 2021
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  13. 33
    PLS-SEM bootstrapping model significant estimation.

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

    Published 2021
    Subjects: “…entrepreneurial activities based…”
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  14. 34
    Epilepsy, including probable nodding syndrome (pNS), and pNS prevalence per study county in high- and low-risk sites in South Sudan.

    Epilepsy, including probable nodding syndrome (pNS), and pNS prevalence per study county in high- and low-risk sites in South Sudan. by Luís-Jorge Amaral (16406704)

    Published 2025
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  15. 35
    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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  16. 36
    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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  17. 37
    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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  18. 38
    MAE significance comparison between MSCALSTM and baseline models based on PeMSD4 dataset.

    MAE significance comparison between MSCALSTM and baseline models based on PeMSD4 dataset. by Zhifei Yang (14613332)

    Published 2025
    “…<p>MAE significance comparison between MSCALSTM and baseline models based on PeMSD4 dataset.…”
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  19. 39
    MAE significance comparison between MSCALSTM and baseline models based on PeMSD7 dataset.

    MAE significance comparison between MSCALSTM and baseline models based on PeMSD7 dataset. by Zhifei Yang (14613332)

    Published 2025
    “…<p>MAE significance comparison between MSCALSTM and baseline models based on PeMSD7 dataset.…”
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  20. 40
    MAE significance comparison between MSCALSTM and baseline models based on PeMSD3 dataset.

    MAE significance comparison between MSCALSTM and baseline models based on PeMSD3 dataset. by Zhifei Yang (14613332)

    Published 2025
    “…<p>MAE significance comparison between MSCALSTM and baseline models based on PeMSD3 dataset.…”
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