Showing 121,281 - 121,300 results of 125,008 for search '(( 5 ((a decrease) OR (nn decrease)) ) OR ( a ((mean decrease) OR (point decrease)) ))', query time: 1.90s Refine Results
  1. 121281

    Atg3 Overexpression Enhances Bortezomib-Induced Cell Death in SKM-1 Cell by Lin Zhuang (389736)

    Published 2016
    “…Atg3 mRNA was significantly decreased in MDS patients’ bone marrow cells. Overexpression of Atg3 in SKM-1 cells resulted in AKT-mTOR-dependent autophagy, a significant reduction in cell proliferation and increased cell death, which could be overcome by the autophagy inhibitor 3-MA. …”
  2. 121282

    Algorithm flowchart of OFEO. 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. …”
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  8. 121288

    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. …”
  9. 121289

    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. …”
  10. 121290

    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. …”
  11. 121291

    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. …”
  12. 121292

    Deletion of CRTAC1 inhibits pain of post-traumatic OA in female mice. by Xianpeng Ge (3153447)

    Published 2016
    “…<p><b>A</b>, Gait analyses of right hind limb (surgical) of wild type and <i>Crtac1</i><sup><i>-/-</i></sup> female mice 16 weeks after DMM surgery displaying decreased brake time and paw angle, and increased paw area and midline distance after ablation of <i>Crtac1</i>. …”
  13. 121293

    FFA profile in <i>cpdm</i> and WT epidermis by MRM-profiling. by Jackeline Franco (5146820)

    Published 2018
    “…<p>(A) Relative amounts of polyunsaturated FFAs were increased and saturated and monounsaturated FFAs were decreased in the <i>cpdm</i> epidermis. …”
  14. 121294

    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. …”
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    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. …”
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