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greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
marked decrease » marked increase (Expand Search)
a greater » _ greater (Expand Search), far greater (Expand Search)
a marked » a marker (Expand Search), _ marked (Expand Search), a market (Expand Search)
b larger » _ larger (Expand Search), b large (Expand Search), _ large (Expand Search)
i large » _ large (Expand Search), a large (Expand Search), via large (Expand Search)
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Normalized synergy increased with greater recurrence and decreased with greater feedback.
Published 2021“…(B) Curves representing rows shown in A, plotted with errorbars computed across networks, show that synergy increased as the number of recurrent edges increased. …”
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Decreased <i>Bgl-</i>FaNaC expression in the left parietal ganglion following <i>S</i>. <i>mansoni</i> infection.
Published 2023“…See values in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0011249#pntd.0011249.t001" target="_blank">Table 1</a>. <b>e-g:</b> Decreased <i>Bgl</i>-FaNaC hybridization on the ventral surface of the left parietal ganglion in infected specimens. …”
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Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves.
Published 2024Subjects: -
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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". …”
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Marking example.
Published 2024“…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
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