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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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26181
Image_3_A study of dynamic hand orthosis combined with unilateral task-oriented training in subacute stroke: A functional near-infrared spectroscopy case series.TIF
Published 2022“…After the intervention, the activation of bilateral hemispheres decreased but in different brain regions; there was a trend that the activation intensity of left sensorimotor cortex, right premotor cortex, and right prefrontal cortex decreased while activation intensity of left premotor cortex and left prefrontal cortex increased. …”
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26182
Image_2_A study of dynamic hand orthosis combined with unilateral task-oriented training in subacute stroke: A functional near-infrared spectroscopy case series.TIF
Published 2022“…After the intervention, the activation of bilateral hemispheres decreased but in different brain regions; there was a trend that the activation intensity of left sensorimotor cortex, right premotor cortex, and right prefrontal cortex decreased while activation intensity of left premotor cortex and left prefrontal cortex increased. …”
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26183
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26184
(A and B) Tetracycline-inducible TREx-293 cells stably expressing Kank (A) or Kank (B) were subjected to cell migration assays using TransWell
Published 2011“…The results shown are the means ± SD of triplicate experiments. Tet, tetracycline induction. *, P < 0.01 compared with the control ; **, P < 0.05 compared with the control. …”
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26185
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26186
Image 1_Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group.jpeg
Published 2025“…Although systolic and diastolic BP showed a non-significant upward trend, HR decreased significantly after caffeine intake (77 ± 5.3 bpm to 72 ± 2.5 bpm, p = 0.027). …”
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26187
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26188
Cell cycle progression is impaired in <i>radA</i> plants.
Published 2022“…Values are the mean ± <i>SD</i> from 4 experiments for WT and from six experiments for <i>radA</i> (n>20 000 nuclei). …”
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26189
The age distribution of the patients.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26190
Comparison experiments.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26191
External validation comparison results.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26192
Patient characteristics.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26193
Comparison with baseline methods.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26194
The details of the channel attention module.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26195
Ablation experiments.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26196
Pathological diagnosis.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26197
The details of ECRNet.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
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26198
Mitochondrial morphologic changes in <i>A</i>. <i>lugdunensis</i>.
Published 2023“…<p>After treatment with 50 μg/mL (B) of <i>T</i>. <i>nucifera</i>, structural damage and decreased wrinkling was observed compared with that in the control group (A). …”
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26200