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Showing 1 - 20 results of 3,860 for search '(( _ point decrease ) OR ((( _ ((steer decrease) OR (nn decrease)) ) OR ( a larger decrease ))))', query time: 0.40s Refine Results
  1. 1
    Cephalometric measurement points.

    Cephalometric measurement points. by Lijuan Liu (136685)

    Published 2025
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  2. 2
    (A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis.

    (A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

    Published 2025
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  3. 3
    Steering system model.

    Steering system model. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  4. 4
    The three-dimensional model of the steering rib.

    The three-dimensional model of the steering rib. by Jianbo Jia (717814)

    Published 2024
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  5. 5
    Main parameters of steering system.

    Main parameters of steering system. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  6. 6
    GrowSafe™ system and steer eating.

    GrowSafe™ system and steer eating. by M. Jordana Rivero (14610947)

    Published 2025
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  7. 7
    Intergado™ System and steer drinking water.

    Intergado™ System and steer drinking water. by M. Jordana Rivero (14610947)

    Published 2025
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  8. 8
    Ideal assisted power steering curve.

    Ideal assisted power steering curve. by Tuan Anh Nguyen (121944)

    Published 2024
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  9. 9
    Selection of soil particle sampling points.

    Selection of soil particle sampling points. by Xueting Ma (390540)

    Published 2025
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  10. 10
    Biases in larger populations.

    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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  11. 11
    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and heart rate (HR) across the three conditions.

    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

    Published 2025
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  12. 12
    Sampling point (Source:

    Sampling point (Source: by Yonggang Huang (223155)

    Published 2025
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  13. 13
    Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [10], Fig 1]. Note that the vaccinations of healthcare workers only started in February 2021 and the vaccinations only started in June 2021 for the elderly. Thus, the vaccinations roll-out did not have any impact on the model here.

    Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [10], Fig 1].... by Folashade B. Agusto (3663010)

    Published 2025
    “…[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>], Fig 1]. …”
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  14. 14
    Time course of Path Length, LFS and Velocity during postural training.

    Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  15. 15
    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.

    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  16. 16
    Time course of 95% Area, X and Y Amplitude Sway during postural training.

    Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  17. 17
    Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area.

    Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

    Published 2025
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  18. 18
    Training-induced changes in bipedal stance.

    Training-induced changes in bipedal stance. by Cristina Dolciotti (16317330)

    Published 2025
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  19. 19
    Relation between training-related changes in unipedal and bipedal stance.

    Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

    Published 2025
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  20. 20
    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity.

    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

    Published 2025
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