Showing 98,681 - 98,700 results of 102,257 for search '(( 12 wt decrease ) OR ( 5 ((((mean decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 1.72s Refine Results
  1. 98681
  2. 98682

    Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  3. 98683

    Improved detection layer. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  4. 98684

    The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  5. 98685

    The matching process of EIOU. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  6. 98686
  7. 98687

    Interaction of Bestrophin-1 and Ca<sup>2+</sup> Channel β-Subunits: Identification of New Binding Domains on the Bestrophin-1 C-Terminus by Vladimir M. Milenkovic (222997)

    Published 2011
    “…A bestrophin-1 that lacks these proline-rich motifs (ΔCT-PxxP bestrophin-1) showed reduced efficiency to co-immunoprecipitate with β3 and β4-subunits. …”
  8. 98688
  9. 98689

    Markov Networks of Collateral Resistance: National Antimicrobial Resistance Monitoring System Surveillance Results from <i>Escherichia coli</i> Isolates, 2004-2012 by William J. Love (3350027)

    Published 2016
    “…Unweighted modularity did not appear to change over time (p = 0.18), but a significant decreasing trend was noted in the modularity of the weighted networks (p < 0.005) indicating relationships between drugs of different classes tended to increase in strength and frequency over time compared to relationships between drugs of the same class. …”
  10. 98690
  11. 98691
  12. 98692
  13. 98693
  14. 98694
  15. 98695
  16. 98696
  17. 98697
  18. 98698
  19. 98699
  20. 98700

    DataSheet_1_Identification and functional studies of microbial volatile organic compounds produced by Arctic flower yeasts.docx by Jingjing Niu (2919284)

    Published 2023
    “…When the incubation temperature rose, the species of alcohols, aldehydes, esters, organic acids, and ketones increased, but substances specific to low temperature decreased or disappeared. When yeasts were co-cultured with Arabidopsis thaliana without any direct contact, mVOCs produced by the isolated yeasts inhibited the seed germination of A. thaliana at low temperatures; however, the mVOCs promoted the chlorophyll content, fresh weight, root weight and flowering rate of Arabidopsis plants. …”