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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
codes increased » cases increased (Expand Search), costs increased (Expand Search), confers increased (Expand Search)
cause decrease » caused decreased (Expand Search), use decreased (Expand Search), causes increased (Expand Search)
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Flow chart of inclusion and exclusion criteria.
Published 2025“…Contrary to AD, treatment of VV group was significantly associated with decreased risk of VD (HR: 0.566, 95% CI: 0.382–0.841). …”
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Baseline characteristics of study participants.
Published 2025“…Contrary to AD, treatment of VV group was significantly associated with decreased risk of VD (HR: 0.566, 95% CI: 0.382–0.841). …”
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Figure 3 from Acetalax (Oxyphenisatin Acetate, NSC 59687) and Bisacodyl Cause Oncosis in Triple-Negative Breast Cancer Cell Lines by Poisoning the Ion Exchange Membrane Protein TRP...
Published 2025“…Acetalax concentrations are color-coded as indicated. The <i>x</i>-axis shows PI absorbance, and the <i>y</i>-axis shows cell counts. …”
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Quantitative results on WEDU dataset.
Published 2024“…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …”
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Counting results on DRPD dataset.
Published 2024“…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …”
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Quantitative results on RFRB dataset.
Published 2024“…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …”
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Main module structure.
Published 2024“…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …”
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Counting results on MTDC-UAV dataset.
Published 2024“…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …”