يعرض 8,061 - 8,080 نتائج من 18,297 نتيجة بحث عن 'significant ((((gap decrease) OR (a decrease))) OR (mean decrease))', وقت الاستعلام: 0.53s تنقيح النتائج
  1. 8061

    Data Sheet 1_Efficacy of cartilage-targeted IGF-1 in a mouse model of growth hormone insensitivity.docx حسب Krishma Tailor (13730582)

    منشور في 2025
    "…Here, we studied CV1574-1 in a second mouse model, C57BL/6 wild-type mice treated with pegvisomant to induce GH resistance. …"
  2. 8062
  3. 8063

    Effects of extracorporeal shock wave therapy on motor function in patients with cerebral palsy: a systematic review and meta-analysis حسب Hui-Hui Peng (21503736)

    منشور في 2025
    "…In addition, spasticity significantly decreases, particularly with focused ESWT or ESWT targeting the upper limbs.…"
  4. 8064
  5. 8065

    Table 1_Association between life’s crucial 9 and sarcopenia: estimated glucose disposal rate as a key mediator.doc حسب Xialian Tang (22319332)

    منشور في 2025
    "…In crude models, each 10-point increase in LC9 was associated with a 4.9% decrease in sarcopenia odds (OR: 0.951, p < 0.001). …"
  6. 8066

    Table 4_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  7. 8067

    Table 6_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  8. 8068

    Table 5_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  9. 8069

    Table 1_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  10. 8070

    Image 1_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.tif حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  11. 8071

    Table 3_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  12. 8072

    Table 2_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

    منشور في 2025
    "…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"
  13. 8073
  14. 8074

    Parameters of VMR separated by light or dark periods run at 6 dpf. حسب Morgan Barnes (7876373)

    منشور في 2025
    "…(E-H) VMR parameters in dnVDRa induced zebrafish at 48 hpf. There is a significant decrease in distance moved in the dark (p < 0.01) and light (p < 0.05) periods, a significant decrease in velocity in the dark (p < 0.05) and light (p < 0.01) periods, a significant decrease in activity state in the dark (p < 0.05) and light (p < 0.01) periods and a significant increase in distance to point in the light period (p < 0.01) in the 48 + fish. …"
  15. 8075

    PCA-CGAN model parameter settings. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  16. 8076

    MIT-BIH dataset proportion analysis chart. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  17. 8077

    Wavelet transform preprocessing results. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  18. 8078

    PCAECG_GAN. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  19. 8079

    MIT dataset expansion quantities and Proportions. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  20. 8080

    Experimental hardware and software environment. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"