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ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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101641
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101642
YOLOv8 overall framework.
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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101643
The performance of YOFGD 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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101644
Network structure of OSA.
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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101645
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101646
PV morphology and functionality phenotypes caused by <i>Gl</i>NECAP1 ectopic expression.
Published 2020“…<p>(A) Multiple sequence alignment analysis of <i>Gl</i>NECAP1 and NECAP1 orthologues from <i>Arabidopsis thaliana</i> (Uniprot accession Q84WV7), <i>Trichinella pseudospiralis</i> (A0A0V1JQ20), <i>Caenorhabditis elegans</i> (Q9N489), <i>Echinococcus multilocularis</i> (A0A087VZS0), <i>Ceratitis capitata</i> (W8CD89), <i>Homo sapiens</i> (Q8NC96) and <i>Mus musculus</i> (Q9CR95) identifies conserved motifs and residues for interaction with AP2. …”
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101647
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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101648
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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101649
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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101650
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101651
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101652
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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101653
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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101654
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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101655
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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101656
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101657
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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101658
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101659
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101660