Search alternatives:
wt decrease » we decrease (Expand Search), _ decrease (Expand Search), awd decreased (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
12 wt » 2 wt (Expand Search), 1 wt (Expand Search)
wt decrease » we decrease (Expand Search), _ decrease (Expand Search), awd decreased (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
12 wt » 2 wt (Expand Search), 1 wt (Expand Search)
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98681
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98682
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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98683
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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98684
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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98685
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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98686
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98687
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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98688
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98689
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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98690
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98691
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98692
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98693
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98694
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98695
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98696
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98697
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98698
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98699
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98700
DataSheet_1_Identification and functional studies of microbial volatile organic compounds produced by Arctic flower yeasts.docx
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. …”