Search alternatives:
significant step » significant gap (Expand Search)
shape increases » showed increases (Expand Search), sharp increase (Expand Search), disease increases (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
significant step » significant gap (Expand Search)
shape increases » showed increases (Expand Search), sharp increase (Expand Search), disease increases (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
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Significance of the bell-shaped excess terms from regressions with Model 1.
Published 2025Subjects: -
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NLSs can significantly impact intranuclear stages of HIV-1 infection.
Published 2025“…Results in A,B,D and F (mean ± SEM) are representative from 3 independent experiments with at least technical duplicates. …”
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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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Regression using Model 2: Significance of the inverse of GDP as a covariate.
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.…”
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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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