Search alternatives:
significant processes » significant progress (Expand Search), significant promise (Expand Search), significant increases (Expand Search)
processes decrease » progressive decrease (Expand Search)
shape increases » showed increases (Expand Search), sharp increase (Expand Search), disease increases (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
significant processes » significant progress (Expand Search), significant promise (Expand Search), significant increases (Expand Search)
processes decrease » progressive decrease (Expand Search)
shape increases » showed increases (Expand Search), sharp increase (Expand Search), disease increases (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
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ECoG timescales decrease during spatial attention.
Published 2025“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”
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Modal shape of the gyration platform.
Published 2024“…The study reveals that during the left-to-right cutting of the rock, the gyration platform experiences significant stress, with the high dynamic stress focus primarily concentrated at the bolt holes connected to the rotary bearings. …”
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Significance of the bell-shaped excess terms from regressions with Model 1.
Published 2025Subjects: -
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Comprehensive prediction process of shape errors.
Published 2025“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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Shape error manual calculation process.
Published 2025“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”