Showing 441 - 460 results of 906 for search '(( significant canker decrease ) OR ( significant ((side decrease) OR (step decrease)) ))', query time: 0.44s Refine Results
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    Variability of gait features during adaptation. by Samantha Jeffcoat (22783930)

    Published 2025
    “…<p>A) We observed significant differences between groups in step length asymmetry variability during EA. …”
  5. 445

    Differences among the classes of CAMs. by Daniel P. Bradley (10306893)

    Published 2025
    “…To ensure the mechanism of action was fully understood, we defined the effects of RNaseH inhibitors on other steps of HBV replication. Some <i>N</i>-hydroxypyridinedione (HPD) HBV RNaseH inhibitors significantly reduced accumulation of capsids in HBV-replicating cells. …”
  6. 446

    List of primers used for RT-qPCR experiments. by Katherine Marougka (13015146)

    Published 2024
    “…We showed that BST2 silencing resulted in a significant rise in viral production during multi-cycle infection, suggesting an inhibitory role during the late steps of RSV’s multiplication cycle. …”
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    Generated spline library. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  11. 451

    Correlation coefficient matrix. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  12. 452

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

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  13. 453

    RMSE versus learning rate. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
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    RMSE versus training parameters. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  15. 455

    Assembly process of machine recognition form. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  16. 456

    Process of steel truss incremental launching. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  17. 457

    CGAN and AutoML stacking device. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  18. 458

    Comprehensive prediction process of shape errors. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  19. 459

    Shape error manual calculation process. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  20. 460

    U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”