Search alternatives:
learning observed » learning derived (Expand Search), learners observe (Expand Search), learning survey (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
learning observed » learning derived (Expand Search), learners observe (Expand Search), learning survey (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
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Observer model and human/model behavior for two observers.
Published 2025“…The white line indicates the change in the mean with learning. The black line represents the stimulus motion direction. …”
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<b>Effect of Marked Weight Loss on Adipose Tissue Biology in People with Obesity and Type 2 Diabetes</b>
Published 2025“…</p><p dir="ltr"><b>Results: </b>Weight loss: <a href="" target="_blank">i) </a><a href="" target="_blank">decreased adipose tissue </a>expression of genes related to extracellular matrix remodeling; ii) decreased adipose tissue expression of SERPINE 1 which encodes plasminogen activator inhibitor-1 (PAI-1); iii) did not decrease adipose tissue immune cell content or expression of genes involved in inflammation; iv) decreased adipose tissue ceramide content; v) decreased plasma <a href="" target="_blank">PAI-1 </a>and leptin concentrations and increased plasma high-molecular weight (HMW) adiponectin; and vi) decreased plasma small extracellular vesicle (sEV) concentration and the sEV content of microRNAs proposed to inhibit insulin action, and completely reversed the inhibitory effect of plasma sEVs on insulin signaling in myotubes.…”
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ROC analysis to mark selectivity results in mostly mixed-selective units.
Published 2025“…<b>b</b> There do not seem to be any significant differences between fast and slow groups using the ROC definition, likely because almost all neurons are marked to be mixed selective as compared to our rate-based classification approach. …”
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