Showing 13,441 - 13,460 results of 74,781 for search '(( 50 ((a decrease) OR (teer decrease)) ) OR ( 5 ((we decrease) OR (mean decrease)) ))', query time: 1.39s Refine Results
  1. 13441
  2. 13442
  3. 13443

    Properties of acetylcholine-induced [Ca<sup>2+</sup>]i elevation in SH-SY5Y cells. by Tamayo Takahashi (9706873)

    Published 2020
    “…Compared with the outcome of acetylcholine treatment alone, the [Ca<sup>2+</sup>]i was steeply elevated but was quickly decreased. In both (A) and (B), a representative of 5 independent trials is shown. …”
  4. 13444
  5. 13445

    Role of NOS isoforms in VEGF overexpressed lung on the vascular markers CD31 and vWF. by Mansoor A. Syed (847484)

    Published 2016
    “…Similarly another vascular marker vWF showed decreased staining VEGF-TG+/ NOS2<sup>−/−</sup> (<b>E</b> and <b>F</b>) and VEGF-TG/ NOS3<sup>+/−</sup> (<b>G</b> and <b>H</b>) mice lungs as compared to VEGF TG+ lungs. …”
  6. 13446
  7. 13447

    Image_5_The Association Between COVID-19 and Thyroxine Levels: A Meta-Analysis.jpeg by Yiru Chen (11431008)

    Published 2022
    “…Systematic searches were carried out on the Cochrane Library, Embase, PubMed and Web of Science databases on November 15, 2021. We set up the literature search strategy based on the following keywords: [(T3 OR FT3 OR triiodothyronine) or (T4 OR FT4 OR thyroxine) or (TSH or thyrotropin)] and (COVID-19 OR SARS-CoV-2), without time restrictions.…”
  8. 13448
  9. 13449
  10. 13450
  11. 13451

    Microkinetic Simulations of Methanol-to-Olefin Conversion in H‑SAPO-34: Dynamic Distribution and Evolution of the Hydrocarbon Pool and Implications for Catalytic Performance by Jun Ke (1537273)

    Published 2023
    “…The dynamic distribution and evolution of the retained aromatic or olefinic HCPs and the origin of olefin products were revealed with respect to reaction conditions. We corroborate that the olefin-based cycle dominates the MTO conversion in H-SAPO-34 under most reaction conditions, and the contribution of the aromatic-based cycle increase with increasing temperature, decreasing pressure, and/or decreasing water partial pressure. …”
  12. 13452
  13. 13453

    Summary of previous work. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  14. 13454

    YOLO11. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  15. 13455

    Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  16. 13456

    Comparative experimental results. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  17. 13457

    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  18. 13458

    SCI-YOLO11. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  19. 13459

    Dataset for insulator defect detection. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”
  20. 13460

    YOLOV8. by Junyan Wang (4738518)

    Published 2025
    “…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”