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Showing 4,721 - 4,740 results of 21,342 for search '(( significantly ((lower decrease) OR (linear decrease)) ) OR ( significant decrease decrease ))', query time: 0.62s Refine Results
  1. 4721
    Prevalence of the common NCD risk factors by region.

    Prevalence of the common NCD risk factors by region. by Ronald Kusolo (13200268)

    Published 2025
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  2. 4722
    Prevalence of the common NCD risk factors by Urbanicity.

    Prevalence of the common NCD risk factors by Urbanicity. by Ronald Kusolo (13200268)

    Published 2025
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  3. 4723
    Participant characteristics.

    Participant characteristics. by Ronald Kusolo (13200268)

    Published 2025
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  4. 4724
    Uganda 2023 NCD risk factor STEPS survey data.

    Uganda 2023 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

    Published 2025
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  5. 4725
    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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  6. 4726
    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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  7. 4727
    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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  8. 4728
    PPI network analysis.

    PPI network analysis. by Du Leng (20421711)

    Published 2024
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  9. 4729
    Example of Group C scene material.

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

    Published 2025
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  10. 4730
    Conditional autonomous driving scenario complexity hierarchy.

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

    Published 2025
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  11. 4731
    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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  12. 4732
    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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  13. 4733
    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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  14. 4734
    Experiment setting.

    Experiment setting. by Chengmin Zhou (14554562)

    Published 2025
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  15. 4735
    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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  16. 4736
    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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  17. 4737
    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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  18. 4738
    Experimental flow.

    Experimental flow. by Chengmin Zhou (14554562)

    Published 2025
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  19. 4739
    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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  20. 4740
    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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