يعرض 3,581 - 3,600 نتائج من 18,518 نتيجة بحث عن 'significantly ((((((mean decrease) OR (a decrease))) OR (larger decrease))) OR (greater decrease))', وقت الاستعلام: 0.59s تنقيح النتائج
  1. 3581
  2. 3582

    S1 Data - حسب Guoqing Meng (4669774)

    منشور في 2025
    "…Additionally, mice in the PRE and POS groups showed significantly increased levels of IL-10 (<i>P</i> < 0.01), and significantly decreased levels of IL-5, IL-13, MCP-1, eotaxin, and tumor necrosis factor-α (<i>P</i> < 0.01).…"
  3. 3583

    Differential counts of leukocytes in mouse BALF. حسب Guoqing Meng (4669774)

    منشور في 2025
    "…Additionally, mice in the PRE and POS groups showed significantly increased levels of IL-10 (<i>P</i> < 0.01), and significantly decreased levels of IL-5, IL-13, MCP-1, eotaxin, and tumor necrosis factor-α (<i>P</i> < 0.01).…"
  4. 3584

    Data Sheet 2_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf حسب Diana Maltseva (11678641)

    منشور في 2025
    "…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …"
  5. 3585

    Data Sheet 4_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf حسب Diana Maltseva (11678641)

    منشور في 2025
    "…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …"
  6. 3586

    Data Sheet 5_CD44 knockdown alters miRNA expression and their target genes in colon cancer.zip حسب Diana Maltseva (11678641)

    منشور في 2025
    "…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …"
  7. 3587

    Data Sheet 1_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf حسب Diana Maltseva (11678641)

    منشور في 2025
    "…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …"
  8. 3588

    Data Sheet 3_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf حسب Diana Maltseva (11678641)

    منشور في 2025
    "…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …"
  9. 3589
  10. 3590
  11. 3591
  12. 3592

    Major hyperparameters of RF-SVR. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"
  13. 3593

    Pseudo code for coupling model execution process. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"
  14. 3594

    Major hyperparameters of RF-MLPR. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"
  15. 3595

    Results of RF algorithm screening factors. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"
  16. 3596

    Schematic diagram of the basic principles of SVR. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"
  17. 3597
  18. 3598
  19. 3599
  20. 3600