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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 74,453 for search '(( significant models based ) OR ( significant ((i.e decrease) OR (teer decrease)) ))', query time: 2.06s Refine Results
  1. 41
    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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  2. 42
    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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  3. 43
    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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  4. 44
    The <i>E</i>. <i>multilocularis</i> antigen-specific IgG reactivity (OD) in alveolar echinococcosis (AE) patients and infection-free controls.

    The <i>E</i>. <i>multilocularis</i> antigen-specific IgG reactivity (OD) in alveolar echinococcosis (AE) patients and infection-free controls. by Beate Grüner (301524)

    Published 2022
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  5. 45
    Age-structure model fitting based on data for influenza case and deaths from the 40th week of 2023 to the 17th week of 2024 for three age groups in the United States (i.e. 0–17 years old, 18–64 years old, and over 65 years old).

    Age-structure model fitting based on data for influenza case and deaths from the 40th week of 2023 to the 17th week of 2024 for three age groups in the United States (i.e. 0–17 yea... by Shuanglin Jing (11886368)

    Published 2025
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  6. 46
    Life expectancy (<i>e</i><sub><i>xj</i></sub>) of <i>A</i>. <i>glycines</i>.

    Life expectancy (<i>e</i><sub><i>xj</i></sub>) of <i>A</i>. <i>glycines</i>. by Aonan Zhang (8933630)

    Published 2021
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  7. 47
    Life expectancy (<i>e</i><sub><i>xj</i></sub>) of <i>A</i>. <i>glycines</i>.

    Life expectancy (<i>e</i><sub><i>xj</i></sub>) of <i>A</i>. <i>glycines</i>. by Aonan Zhang (8933630)

    Published 2021
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  8. 48
    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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  9. 49
    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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  10. 50
    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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  11. 51
    Levels of total and <i>E</i>.<i>multilocularis</i>-specific IgE in kU/l over time and difference of respective levels compared to baseline.

    Levels of total and <i>E</i>.<i>multilocularis</i>-specific IgE in kU/l over time and difference of respective levels compared to baseline. by Beate Grüner (301524)

    Published 2022
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  12. 52
    Decrease of Sun4 protein level upon <i>eIF2A</i> overexpression requires the presence of Ssd1.

    Decrease of Sun4 protein level upon <i>eIF2A</i> overexpression requires the presence of Ssd1. by Laura Meyer (4033793)

    Published 2023
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  13. 53
    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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  14. 54
    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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  15. 55
    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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  16. 56
    Colony survival is decreased in UUC-enriched deletion mutants after exposure to oxidative stress-inducing agents.

    Colony survival is decreased in UUC-enriched deletion mutants after exposure to oxidative stress-inducing agents. by Lauren Endres (765718)

    Published 2020
    “…The inset shows the magnitude of the decrease in survival (i.e., percent survival untreated minus treated conditions for individual strains). …”
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  17. 57
    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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  18. 58
    Cortical regions with the highest mean fraction of significant voxels for each type of word vectors and for each movie set.

    Cortical regions with the highest mean fraction of significant voxels for each type of word vectors and for each movie set. by Satoshi Nishida (690175)

    Published 2021
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  19. 59
    Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional word2vec vectors.

    Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional word2vec vectors. by Satoshi Nishida (690175)

    Published 2021
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  20. 60
    Cortical regions with the highest mean fraction of significant voxels for each of 1000- and 2000-dimensional binary-labeling models.

    Cortical regions with the highest mean fraction of significant voxels for each of 1000- and 2000-dimensional binary-labeling models. by Satoshi Nishida (690175)

    Published 2021
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