Search alternatives:
mg decrease » _ decrease (Expand Search), nn decrease (Expand Search), we decrease (Expand Search)
wt decrease » we decrease (Expand Search), _ decrease (Expand Search), nn decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
12 mg » 10 mg (Expand Search), 2 mg (Expand Search), 15 mg (Expand Search)
mg decrease » _ decrease (Expand Search), nn decrease (Expand Search), we decrease (Expand Search)
wt decrease » we decrease (Expand Search), _ decrease (Expand Search), nn decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
12 mg » 10 mg (Expand Search), 2 mg (Expand Search), 15 mg (Expand Search)
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99301
The performance of S-YOFEO model on MOT17.
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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99302
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99303
Atg3 Overexpression Enhances Bortezomib-Induced Cell Death in SKM-1 Cell
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. …”
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99304
Algorithm flowchart of OFEO.
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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99305
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99306
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99307
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99308
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99309
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99310
Partial tracking results of MOT17 dataset.
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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99311
Improved detection layer.
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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99312
The performance of S-YOFEO model on MOT16.
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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99313
The matching process of EIOU.
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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99314
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99315
Interaction of Bestrophin-1 and Ca<sup>2+</sup> Channel β-Subunits: Identification of New Binding Domains on the Bestrophin-1 C-Terminus
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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99316
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99317
Markov Networks of Collateral Resistance: National Antimicrobial Resistance Monitoring System Surveillance Results from <i>Escherichia coli</i> Isolates, 2004-2012
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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99318
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99319
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99320