Search alternatives:
linear decrease » linear increase (Expand Search)
learning force » learning curve (Expand Search), learning from (Expand Search)
force decrease » fold decrease (Expand Search), forces increased (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
linear decrease » linear increase (Expand Search)
learning force » learning curve (Expand Search), learning from (Expand Search)
force decrease » fold decrease (Expand Search), forces increased (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
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Obstacle uniform linear motion scenarios.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>"
Published 2025“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
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Linear regressions of consumer stable carbon and nitrogen isotope values and collection date.
Published 2025Subjects: -
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Results from linear regression analysis for δ<sup>13</sup>C or δ<sup>15</sup>N and collection date.
Published 2025Subjects: -
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Analysis of the tangential force of the obstacle.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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