Showing 1,381 - 1,400 results of 1,521 for search '(( significantly largest decrease ) OR ( significantly small decrease ))', query time: 0.19s Refine Results
  1. 1381

    Image 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  2. 1382

    Table 6_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  3. 1383

    Table 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  4. 1384

    Image 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  5. 1385

    Table 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  6. 1386

    Image 1_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  7. 1387

    Table 1_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

    Published 2025
    “…Identification of regions with the largest potential for reducing HHD burden relative to their SDI peers. …”
  8. 1388

    Table 4_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

    Published 2025
    “…Identification of regions with the largest potential for reducing HHD burden relative to their SDI peers. …”
  9. 1389

    Image 1_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.tif by Ning An (618997)

    Published 2025
    “…Identification of regions with the largest potential for reducing HHD burden relative to their SDI peers. …”
  10. 1390

    Table 3_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

    Published 2025
    “…Identification of regions with the largest potential for reducing HHD burden relative to their SDI peers. …”
  11. 1391

    Table 2_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

    Published 2025
    “…Identification of regions with the largest potential for reducing HHD burden relative to their SDI peers. …”
  12. 1392

    SEAwise synthetic summary report of the findings of WP4 on changes to the ecosystem impacts of fishing in response to spatial management for online tool by Anna Rindorf (6217391)

    Published 2025
    “…While the attainment of GES could also be found in scenarios with closed areas, this was generally restricted to the indicators at which the closure was aimed while other indicators worsened.</p><p dir="ltr">Decreasing fishing effort to levels compatible with FMSY-min resulted in slightly but not significantly higher average landings in the Adriatic and western Ionian Sea and the North Sea under current climate where currently overfished gadoid stocks were rebuilt in the simulations. …”
  13. 1393

    Minimal test data set by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  14. 1394

    OSNet network structure. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  15. 1395

    YOLOv8 overall framework. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  16. 1396

    The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  17. 1397

    Network structure of OSA. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  18. 1398

    The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  19. 1399

    Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  20. 1400

    Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”