Search alternatives:
significantly linked » significantly longer (Expand Search), significantly altered (Expand Search), significantly higher (Expand Search)
linked decrease » marked decrease (Expand Search), linear 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 81 - 100 results of 2,158 for search '(( significantly linked decrease ) OR ( significant ((shape decrease) OR (nn decrease)) ))', query time: 0.41s Refine Results
  1. 81
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  2. 82
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  3. 83
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  4. 84
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  5. 85
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  6. 86
    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. 87
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  8. 88
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  9. 89
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

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

    Published 2025
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  10. 90
    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. 91
    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. 92
    Actual measurement of shape errors.

    Actual measurement of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  13. 93
    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)

    Published 2025
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  14. 94
    Changes in the genotypes of <i>NLRP1</i>, <i>NLRP3</i>, and <i>NLRP4</i>.

    Changes in the genotypes of <i>NLRP1</i>, <i>NLRP3</i>, and <i>NLRP4</i>. by Hao Deng (409186)

    Published 2024
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  15. 95
    Change in the genotypes of <i>ATM</i>, <i>ERCC1</i>, and <i>XRCC1</i>.

    Change in the genotypes of <i>ATM</i>, <i>ERCC1</i>, and <i>XRCC1</i>. by Hao Deng (409186)

    Published 2024
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  16. 96
    Effect of the interaction of drinking, smoking and <i>ERCC1</i> rs3212986 on workers exposed to coal dust.

    Effect of the interaction of drinking, smoking and <i>ERCC1</i> rs3212986 on workers exposed to coal dust. by Hao Deng (409186)

    Published 2024
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  17. 97
    Regression model analysis of the influence of <i>ERCC1</i> rs3212986 on CWP.

    Regression model analysis of the influence of <i>ERCC1</i> rs3212986 on CWP. by Hao Deng (409186)

    Published 2024
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  18. 98
    Pathways analysis of ERCC1 based on CWP metabolome and proteome.

    Pathways analysis of ERCC1 based on CWP metabolome and proteome. by Hao Deng (409186)

    Published 2024
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  19. 99
    Analysis of basic clinical data of the study population (± s).

    Analysis of basic clinical data of the study population (± s). by Hao Deng (409186)

    Published 2024
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  20. 100
    ROC curve analysis for ERCC1 with CWP progression.

    ROC curve analysis for ERCC1 with CWP progression. by Hao Deng (409186)

    Published 2024
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