بدائل البحث:
larger decrease » marked decrease (توسيع البحث)
large decrease » marked decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
task decrease » a decrease (توسيع البحث), teer decrease (توسيع البحث), ash decreased (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
large decrease » marked decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
task decrease » a decrease (توسيع البحث), teer decrease (توسيع البحث), ash decreased (توسيع البحث)
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Overview of results.
منشور في 2025"…<p>Propranolol and L-DOPA did not influence decision-making in the perceptual task; however, metacognitive ability was decreased in the propranolol condition and was not affected in the L-DOPA condition. …"
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<b>Human disturbance alters the foraging and spatiotemporal activity of a large carnivore</b>
منشور في 2025"…Responses to human disturbance were generally consistent across sites, with pumas adjusting their temporal, spatial, and foraging axes to decrease encounters with humans. Our results suggest that human-disturbed landscapes across regions alter the primary niche axes of pumas to construct a new realized niche in human landscapes, which may have important consequences for their ecological interactions and the functional role of this large carnivore.…"
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Statins resulted in smaller neuronal soma size.
منشور في 2025"…Areas of cell somas in the heterogeneous BrdU-/Hu+ group are significantly smaller in the statin-treated (light blue line) group compared to soma areas in controls (dark blue line, bottom panel). Statin treatment decreased cell sizes in the larger cells more than in the smaller cells as seen in the greater divergence between lines plotted for larger cell somas (bottom panel). …"
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<b>Warming alters plankton body-size distributions in a large field experiment</b>
منشور في 2024"…We found a nonlinear decrease in the overall mean body size of zooplankton with warming, with a 57% reduction at +8°C. …"
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The source code of LazyAct.
منشور في 2025"…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. …"