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)
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)
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Association between screen time and demographic variables of respondents (n = 259).
Published 2025Subjects: -
343
Association of screen time variables with mental health of respondents (n = 259).
Published 2025Subjects: -
344
Association of screen time variables with sleep quality of respondents (n = 259).
Published 2025Subjects: -
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Frequency and percentage on screen time questionnaire of respondents (n = 259).
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Univariate and Multivariate analysis of risk factors for nerve injury 90-days after TKA.
Published 2025Subjects: -
349
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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350
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.…”
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351
Shape error measurement results statistics.
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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352
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Computational Fluid Dynamics results for a parallel plate flow chamber based on FLUENT.
Published 2025Subjects: -
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