Showing 221 - 240 results of 432 for search '(( significant decrease decrease ) OR ( significant step decrease ))~', query time: 0.29s Refine Results
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    Supplementary Material for: Effect of Surface Perturbation Treadmill Training Program on Strategies and Kinematics of Reactive Stepping during Standing in Older Adults: A Single-Bl... by figshare admin karger (2628495)

    Published 2025
    “…Results: Both groups showed a significant decrease in the percentage of multiple-step responses (p=0.013) and a shorter total recovery time to recover balance (p=0.006). …”
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    Data Sheet 1_Frailty is associated with low physical activity and poor sleep quality in patients undergoing myeloablative allogeneic hematopoietic cell transplantation: a Fitbit® p... by Caryn R. Libbert (22802051)

    Published 2025
    “…Not frail patients demonstrated significantly higher daily steps and active minutes, and lower sedentary time compared to pre-frail and frail groups (all p < 0.01). …”
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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. …”
  8. 228

    Data Sheet 1_Biorefinery—inspired, two-step valorization strategy to manage plant-based recalcitrant organic waste, involving solvent extraction, and fermentation with Bacillus cla... by Sreejith Meppoyilam (20563139)

    Published 2025
    “…Deriving inspiration, the proposed strategy puts together a unique and compatible combination of processes. This novel two-step valorization workflow involves the extraction of small molecules using organic solvents, and fermentation of resulting denatured residues (increased biodegradability or decreased recalcitrance) of reduced microbial load. …”
  9. 229

    Data Sheet 1_Biorefinery—inspired, two-step valorization strategy to manage plant-based recalcitrant organic waste, involving solvent extraction, and fermentation with Bacillus cla... by Sreejith Meppoyilam (20563139)

    Published 2025
    “…Deriving inspiration, the proposed strategy puts together a unique and compatible combination of processes. This novel two-step valorization workflow involves the extraction of small molecules using organic solvents, and fermentation of resulting denatured residues (increased biodegradability or decreased recalcitrance) of reduced microbial load. …”
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    Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

    Published 2025
    “…Next, we combined blood flow data from non-bifurcating capillaries at all tested ABNP levels (10 steps) into a single dataset and calculated the means and standard deviations across layers L1-L4, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0321053#pone.0321053.g006" target="_blank">Fig 6</a>(b-c). …”
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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. …”
  17. 237

    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. …”
  18. 238

    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. …”
  19. 239

    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. …”