Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance step » significance set (Expand Search), significance test (Expand Search), significance p (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance step » significance set (Expand Search), significance test (Expand Search), significance p (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
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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...
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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List of primers used for RT-qPCR experiments.
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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Variability of gait features during adaptation.
Published 2025“…<p>A) We observed significant differences between groups in step length asymmetry variability during EA. …”
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Data Sheet 1_Biorefinery—inspired, two-step valorization strategy to manage plant-based recalcitrant organic waste, involving solvent extraction, and fermentation with Bacillus cla...
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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Data Sheet 1_Biorefinery—inspired, two-step valorization strategy to manage plant-based recalcitrant organic waste, involving solvent extraction, and fermentation with Bacillus cla...
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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Generated spline library.
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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Correlation coefficient matrix.
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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Actual measurement of shape errors.
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 learning rate.
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.
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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Assembly process of machine recognition form.
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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Process of steel truss incremental launching.
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. …”