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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Showing 3,841 - 3,860 results of 21,342 for search '(( significant co decrease ) OR ( significant decrease decrease ))', query time: 0.30s Refine Results
  1. 3841
    Uganda 2014 NCD risk factor STEPS survey data.

    Uganda 2014 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

    Published 2025
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  2. 3842
    The correlogram.

    The correlogram. by Bingtao Su (4740009)

    Published 2025
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  3. 3843
    The environmental footprint of diabetes and prediabetes groups.

    The environmental footprint of diabetes and prediabetes groups. by Bingtao Su (4740009)

    Published 2025
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  4. 3844
    The food consumption quantity.

    The food consumption quantity. by Bingtao Su (4740009)

    Published 2025
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  5. 3845
    Deviation from the balanced dietary patterns outlined in the 2022 CDG.

    Deviation from the balanced dietary patterns outlined in the 2022 CDG. by Bingtao Su (4740009)

    Published 2025
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  6. 3846
    Dataset.

    Dataset. by Bingtao Su (4740009)

    Published 2025
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  7. 3847
    PPI network analysis.

    PPI network analysis. by Du Leng (20421711)

    Published 2024
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  8. 3848
    Example of Group C scene material.

    Example of Group C scene material. by Chengmin Zhou (14554562)

    Published 2025
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  9. 3849
    Conditional autonomous driving scenario complexity hierarchy.

    Conditional autonomous driving scenario complexity hierarchy. by Chengmin Zhou (14554562)

    Published 2025
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  10. 3850
    Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type.

    Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type. by Chengmin Zhou (14554562)

    Published 2025
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  11. 3851
    Point in time of the first visible deviation from the trail in each scenario.

    Point in time of the first visible deviation from the trail in each scenario. by Chengmin Zhou (14554562)

    Published 2025
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  12. 3852
    Displays types of autonomous driving information: a) P3D display on the W-HUD; b) SR display on the W-HUD; c) display on the AR-HUD.

    Displays types of autonomous driving information: a) P3D display on the W-HUD; b) SR display on the W-HUD; c) display on the AR-HUD. by Chengmin Zhou (14554562)

    Published 2025
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  13. 3853
    Experiment setting.

    Experiment setting. by Chengmin Zhou (14554562)

    Published 2025
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  14. 3854
    Supplementary raw data file of eye-tracking experiment for subjects.

    Supplementary raw data file of eye-tracking experiment for subjects. by Chengmin Zhou (14554562)

    Published 2025
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  15. 3855
    The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities.

    The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

    Published 2025
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  16. 3856
    A path analysis model of the relationship between various scenario elements and traffic scenarios.

    A path analysis model of the relationship between various scenario elements and traffic scenarios. by Chengmin Zhou (14554562)

    Published 2025
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  17. 3857
    Experimental flow.

    Experimental flow. by Chengmin Zhou (14554562)

    Published 2025
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  18. 3858
    Schematic flow chart of driving take-over reaction experiment.

    Schematic flow chart of driving take-over reaction experiment. by Chengmin Zhou (14554562)

    Published 2025
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  19. 3859
    Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane.

    Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane. by Chengmin Zhou (14554562)

    Published 2025
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  20. 3860
    Conditional autonomous driving scenario complexity factor perceptual weights.

    Conditional autonomous driving scenario complexity factor perceptual weights. by Chengmin Zhou (14554562)

    Published 2025
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