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significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
Showing 101 - 120 results of 2,814 for search '(( significantly predicted decrease ) OR ( significant ((shape decrease) OR (nn decrease)) ))', query time: 0.57s Refine Results
  1. 101
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  2. 102
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  3. 103
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  4. 104
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  5. 105
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  6. 106
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  7. 107
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  8. 108
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  9. 109
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  10. 110
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  11. 111
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  12. 112
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  13. 113
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  14. 114
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  15. 115
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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  16. 116
    Oncogenic nature of mutations predicted using CScape and CScape-somatic.

    Oncogenic nature of mutations predicted using CScape and CScape-somatic. by Ashraf Attia Mahmoud (21262201)

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  17. 117
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

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  18. 118
    Comparative analysis of predictive performance of different variant models.

    Comparative analysis of predictive performance of different variant models. by Yuanming Ding (12842858)

    Published 2025
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  19. 119
    EF-24 induces significant transcriptional changes in K-562 cells.

    EF-24 induces significant transcriptional changes in K-562 cells. by Ajeet P. Singh (22298432)

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  20. 120
    Data processing and predictive model construction.

    Data processing and predictive model construction. by Yajia Chen (20685780)

    Published 2025
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