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significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
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Showing 41 - 60 results of 74,999 for search '(( significant models based ) OR ( significant ((fold decrease) OR (nn decrease)) ))', query time: 0.94s Refine Results
  1. 41
    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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  2. 42
    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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  3. 43
    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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  4. 44
    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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  5. 45
    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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  6. 46
    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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  7. 47
    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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  8. 48
    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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  9. 49
    MAE significance comparison between MSCALSTM and baseline models based on PeMSD8 dataset.

    MAE significance comparison between MSCALSTM and baseline models based on PeMSD8 dataset. by Zhifei Yang (14613332)

    Published 2025
    “…<p>MAE significance comparison between MSCALSTM and baseline models based on PeMSD8 dataset.…”
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  10. 50
    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses

    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …”
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  11. 51
    Genes showing 1.5 fold expression decrease in D381 relative to heterozygous <i>TOR1/tor1</i>.

    Genes showing 1.5 fold expression decrease in D381 relative to heterozygous <i>TOR1/tor1</i>. by Wanjun Qi (5571359)

    Published 2022
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  12. 52
    Log fold changes of genes involved in regulation of the complement pathway in the left ventricle [22] correspond to increased expression of pro-complement activation genes and decreased expression of inhibitors.

    Log fold changes of genes involved in regulation of the complement pathway in the left ventricle [22] correspond to increased expression of pro-complement activation genes and decr... by Nicholas Markarian (18251668)

    Published 2024
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  13. 53
    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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  14. 54
    Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional fastText vectors.

    Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional fastText vectors. by Satoshi Nishida (690175)

    Published 2021
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  15. 55
    Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional GloVe vectors.

    Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional GloVe vectors. by Satoshi Nishida (690175)

    Published 2021
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  16. 56
    Tokenisation and embedding procedure for the development of ordinal all-predictor-based models (APMs).

    Tokenisation and embedding procedure for the development of ordinal all-predictor-based models (APMs). by Shubhayu Bhattacharyay (11242977)

    Published 2022
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  17. 57
    Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?Based on Conversations with LLMs

    Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?Based on Conversations with LLMs by Dong-Xu Cui (313379)

    Published 2025
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  18. 58
    Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?Based on Conversations with LLMs

    Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?Based on Conversations with LLMs by Dong-Xu Cui (313379)

    Published 2025
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  19. 59
    Evaluating models based on the most significant oscillation variables that contribute to the catch rate of each marlin species.

    Evaluating models based on the most significant oscillation variables that contribute to the catch rate of each marlin species. by Sandipan Mondal (19506919)

    Published 2024
    “…<p>Evaluating models based on the most significant oscillation variables that contribute to the catch rate of each marlin species.…”
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  20. 60
    Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation.

    Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

    Published 2022
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