Showing 2,361 - 2,380 results of 2,666 for search '(( significantly ((largest decrease) OR (linear decrease)) ) OR ( significantly small decrease ))', query time: 0.53s Refine Results
  1. 2361

    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%). …”
  2. 2362

    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%). …”
  3. 2363

    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%). …”
  4. 2364

    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%). …”
  5. 2365

    Data Sheet 1_Modeling lymphocyte subset dynamics after ublituximab therapy in patients with multiple sclerosis: an Italian prospective study.pdf by Aurora Zanghì (9202094)

    Published 2025
    “…Longitudinal trajectories were modeled with subject-specific random-intercept linear mixed-effects models. To identify determinants of early residual depletion, linear regression models were built.…”
  6. 2366

    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. …”
  7. 2367

    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. …”
  8. 2368

    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. …”
  9. 2369

    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. …”
  10. 2370

    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. …”
  11. 2371

    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. …”
  12. 2372

    Data Sheet 1_Development of an LC-MS/MS method for astaxanthin quantification in shrimp tissues and its application to detect astaxanthin variations during ovary development stages... by Shuo Diao (1967698)

    Published 2025
    “…During the ovarian developmental stages, astaxanthin was predominantly sequestered in the hepatopancreas during early phases, with concentrations ranging from 21.3 μg/g to 29.1 μg/g, representing a 43- to 59-fold increase compared to ovarian concentrations. However, a significant redistribution of astaxanthin was observed during the post-developmental stage, characterized by a substantial decrease to 5.74 μg/g in the hepatopancreas, concomitant with an increase to 7.47 μg/g in ovarian tissue.…”
  13. 2373

    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. 2374

    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. 2375

    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. 2376

    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. 2377

    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. 2378

    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. 2379

    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. 2380

    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. …”