Showing 1,541 - 1,560 results of 2,015 for search '(( significantly ((larger decrease) OR (largest decrease)) ) OR ( significantly small decrease ))', query time: 0.35s Refine Results
  1. 1541

    Image 2_Aquaporin 2 is differentially expressed in granulosa cells of various stages of human follicles and is regulated by luteinizing hormone.jpeg by Zetong Zheng (22069658)

    Published 2025
    “…Western blot indicated that AQP2 protein levels in LGCs increased as follicles grew larger after luteinization. Immunohistochemistry of human ovarian sections showed that AQP2 levels decreased as follicles progressed from primordial to antral stages. …”
  2. 1542

    Image 1_Aquaporin 2 is differentially expressed in granulosa cells of various stages of human follicles and is regulated by luteinizing hormone.tif by Zetong Zheng (22069658)

    Published 2025
    “…Western blot indicated that AQP2 protein levels in LGCs increased as follicles grew larger after luteinization. Immunohistochemistry of human ovarian sections showed that AQP2 levels decreased as follicles progressed from primordial to antral stages. …”
  3. 1543

    Table 1_Aquaporin 2 is differentially expressed in granulosa cells of various stages of human follicles and is regulated by luteinizing hormone.docx by Zetong Zheng (22069658)

    Published 2025
    “…Western blot indicated that AQP2 protein levels in LGCs increased as follicles grew larger after luteinization. Immunohistochemistry of human ovarian sections showed that AQP2 levels decreased as follicles progressed from primordial to antral stages. …”
  4. 1544

    Atorvastatin neuronal morphology data_CP.xlsxData set: neuronal morphology by Carolyn Pytte (20641508)

    Published 2025
    “…However, we found that neuronal soma morphology differed significantly between statin-treated and control birds. …”
  5. 1545

    C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  6. 1546

    YOLOv8n detection results diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  7. 1547

    YOLOv8n-BWG model structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  8. 1548

    BiFormer structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  9. 1549

    YOLOv8n-BWG detection results diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  10. 1550

    GSConv module structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  11. 1551

    Performance comparison of three loss functions. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  12. 1552

    mAP0.5 Curves of various models. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  13. 1553

    Network loss function change diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  14. 1554

    Comparative diagrams of different indicators. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  15. 1555

    YOLOv8n structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  16. 1556

    Geometric model of the binocular system. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  17. 1557

    Enhanced dataset sample images. by Yaojun Zhang (389482)

    Published 2025
    “…Existing methods encounter challenges like intricate detection environments, small-scale targets, and extensive model parameters. …”
  18. 1558

    Supplementary Material for: Using smartphone data to frequently measure atopic dermatitis severity and understand triggers: A decentralized 12-week observational study by Ali Z. (5634332)

    Published 2024
    “…Decreasing temperature was significantly associated with higher POEM (estimate -0.18, p=0.012) and EASI score (estimate -0.14, p=0.007), but not with SCORAD. …”
  19. 1559

    Data Sheet 1_Characterization of the Vibrio anguillarum VaRyhB regulon and role in pathogenesis.docx by Yingjie Li (2106778)

    Published 2025
    “…The virulence of VaRyhB was evaluated by challenging turbot larvae intraperitoneally. </p>Results<p>The small RNA called VaRyhB identified in V. anguillarum strain 775 is significantly longer than that in Escherichia coli. …”
  20. 1560

    Table 1_A real-world study of polyenyl phosphatidylcholine in the management of patients with metabolic dysfunction-associated fatty liver disease in China clinical practice.docx by Yi Pan (68170)

    Published 2025
    “…In the PPC group, baseline alanine transaminase (ALT) levels decreased at 12- and 24-weeks compared to those of the control group, but results were not significant. …”