Search alternatives:
significant largest » significantly larger (Expand Search), significant changes (Expand Search), significant dangers (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
significant largest » significantly larger (Expand Search), significant changes (Expand Search), significant dangers (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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Achieving Improved Ion Swarm Shaping Based on Ion Leakage Control in Ion Mobility Spectrometry
Published 2025“…In Ion Mobility Spectrometry (IMS), ion gates are essential for controlling ion flow, significantly impacting detection sensitivity and resolution. …”
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Actual measurement 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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Univariate and Multivariate analysis of risk factors for nerve injury 90-days after TKA.
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.…”