Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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2141
Comparison of postoperative rest and activity between APS score groups in Experiment 2.
Published 2025Subjects: -
2142
Phylogenetic analysis of <i>Anaplasma</i> spp. based on the partial 16S rRNA gene sequence.
Published 2025Subjects: -
2143
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2144
Downregulation of miR-1247-3p inhibited apoptosis and reduced chemosensitivity in cells.
Published 2024Subjects: -
2145
Negative (Prednisone) and basal (ATP) control compounds binding to ALK protein.
Published 2025Subjects: -
2146
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2147
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2148
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2149
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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2150
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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2151
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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2152
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2153
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2154
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2155
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2156
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2157
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2158
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2159
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2160