Showing 26,181 - 26,200 results of 70,370 for search '(( 50 ((a decrease) OR (we decrease)) ) OR ( a ((point decrease) OR (mean decrease)) ))', query time: 1.55s Refine Results
  1. 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 by ChaoJinZi Li (13232019)

    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. …”
  2. 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 by ChaoJinZi Li (13232019)

    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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  4. 26184

    (A and B) Tetracycline-inducible TREx-293 cells stably expressing Kank (A) or Kank (B) were subjected to cell migration assays using TransWell by Naoto Kakinuma (46267)

    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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  6. 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 by Shabbir Chowdhury (22246345)

    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). …”
  7. 26187
  8. 26188

    Cell cycle progression is impaired in <i>radA</i> plants. by Nicolas Chevigny (12537052)

    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). …”
  9. 26189

    The age distribution of the patients. by Ruijie Wang (5989841)

    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. …”
  10. 26190

    Comparison experiments. by Ruijie Wang (5989841)

    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. …”
  11. 26191

    External validation comparison results. by Ruijie Wang (5989841)

    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. …”
  12. 26192

    Patient characteristics. by Ruijie Wang (5989841)

    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. …”
  13. 26193

    Comparison with baseline methods. by Ruijie Wang (5989841)

    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. …”
  14. 26194

    The details of the channel attention module. by Ruijie Wang (5989841)

    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. …”
  15. 26195

    Ablation experiments. by Ruijie Wang (5989841)

    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. …”
  16. 26196

    Pathological diagnosis. by Ruijie Wang (5989841)

    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. …”
  17. 26197

    The details of ECRNet. by Ruijie Wang (5989841)

    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. …”
  18. 26198

    Mitochondrial morphologic changes in <i>A</i>. <i>lugdunensis</i>. by Min Seung Kang (9388806)

    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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