Search alternatives:
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
mg decrease » _ decrease (Expand Search), we decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
2 step » _ step (Expand Search), a step (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
mg decrease » _ decrease (Expand Search), we decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
2 step » _ step (Expand Search), a step (Expand Search)
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1381
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Structure model predictions of wildtype and A398E/V and M1425V/I Ca<sub>V</sub>3.3 channels.
Published 2025Subjects: -
1387
The Anion [Mg<sub>6</sub>Cl<sub>8</sub>Cp*<sub>5</sub>]<sup>-</sup>: A Final Intermediate on the Way to the Molecular Donor-Free Grignard Compound MgClCp*?
Published 2006“…We report here on the synthetic details and X-ray structure of a donor-free Grignard compound with an inverse magnesocene motif, μ<i>-</i>Cp*Mg<sub>2</sub>, in the anionic part of the compound, [Mg<sub>6</sub>Cl<sub>8</sub>Cp*<sub>5</sub>][AlCp*<sub>2</sub>]·C<sub>6</sub>H<sub>6</sub> (<b>1</b>).…”
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1388
Juvenile demyelination leads to a decrease in axonal complexity of PFC PV interneurons.
Published 2025“…</b> Quantification of the overall myelin intensity in PFC of both groups shows a clear loss of myelin in the juvenile demyelination group (<i>t test; n = 6/5 mice per group, ***p < 0.001</i>). …”
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1389
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1390
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Loss of Lsd1 in long bone mesenchymal cells leads to impaired ossification and growth.
Published 2022Subjects: -
1395
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1400
Comparison of the three attention steps.
Published 2024“…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”