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cases increased » rate increased (Expand Search), levels increased (Expand Search)
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cases increased » rate increased (Expand Search), levels increased (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
c cases » ic cases (Expand Search), _ cases (Expand Search), 3 cases (Expand Search)
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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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AUC-ROC and AUPR values of different methods.
Published 2024“…<p>The x-axis displays P-to-N sampling ratios while the y-axis represents AUC-ROC and AUPR values for the left and right plots. …”
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ROC curve and AUC value of all models.
Published 2024“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”
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The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases.
Published 2023“…Brighter colours indicate higher 〈<i>s</i>(<i>t</i><sub><i>v</i></sub>)〉. Note the nonlinear increase of <i>n</i> on the y-axis. C) Relatedly, we show the peak of infections max<sub><i>t</i></sub>(<i>i</i>(<i>t</i>)) as a heat map as function of the expected vaccination time 〈<i>t</i><sub><i>v</i></sub>〉 for the same range of vaccine arrival distributions <i>p</i><sub><i>n</i></sub> as in B). …”
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