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shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
Showing 61 - 80 results of 1,137 for search '(( significant gap decrease ) OR ( significant ((shape decrease) OR (nn decrease)) ))', query time: 0.64s Refine Results
  1. 61
    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. 62
    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. 63
    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. 64
    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. 65
    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. 66
    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. 67
    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. 68
    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. 69
    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. 70
    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. 71
    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. 72
    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. 73
    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. 74
    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. 75
    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. 76
    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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  17. 77
    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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  18. 78
    Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i><sub>2</sub>, in %).

    Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i><sub>2</sub>, in %). by Hong Zhang (25820)

    Published 2025
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  19. 79
    ROBINS-I assessments.

    ROBINS-I assessments. by Martha R. Smith (20410184)

    Published 2024
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  20. 80
    S8 File -

    S8 File - by Martha R. Smith (20410184)

    Published 2024
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