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marked decrease » marked increase (Expand Search)
long decrease » point decrease (Expand Search), nn decrease (Expand Search), fold decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
marked decrease » marked increase (Expand Search)
long decrease » point decrease (Expand Search), nn decrease (Expand Search), fold decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Repetitive stress induces a decrease in sound-evoked activity.
Published 2025“…<p>(a) Left: noise-evoked activity rates at different noise intensities for chronically tracked PPys cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 285 neurons, mean ± SE). …”
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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets
Published 2025“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”
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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets
Published 2025“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”
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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets
Published 2025“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”
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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets
Published 2025“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”
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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets
Published 2025“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”
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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets
Published 2025“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”
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Experimental setup under ablation experiments.
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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Obstacle uniform linear motion scenarios.
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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Analysis of the tangential force of the obstacle.
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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Table of values for <i>p.</i>
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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Static obstacle avoidance scene setup.
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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The schematic diagram of the region <i>O</i><sub>1</sub>.
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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