Search alternatives:
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
linear decrease » linear increase (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
linear decrease » linear increase (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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6861
Marginal effect of additional hot day on SWB.
Published 2025“…In this paper, we apply a novel approach to try and address this issue. …”
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6862
Income satisfaction measure.
Published 2025“…In this paper, we apply a novel approach to try and address this issue. …”
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6863
Marginal effect of HTD on income and SWB.
Published 2025“…In this paper, we apply a novel approach to try and address this issue. …”
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6864
Estimation procedure flow-chart.
Published 2025“…In this paper, we apply a novel approach to try and address this issue. …”
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6865
Structural model outline.
Published 2025“…In this paper, we apply a novel approach to try and address this issue. …”
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6866
Amino acid metabolic pathways are influenced by the NC1 POM cycle over expression.
Published 2025“…Box and whisker plots of selected metabolites that displayed significant increase or decrease in the NC1 POM cycle producing strain (NC), red boxes, or empty vector producing strain (YC) green boxes. …”
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6867
Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s...
Published 2025“…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
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6868
Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s...
Published 2025“…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
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6869
Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s...
Published 2025“…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
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6870
Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s...
Published 2025“…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
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6871
Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s...
Published 2025“…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
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6872
Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s...
Published 2025“…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
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6873
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6874
Prediction of transition readiness.
Published 2025“…In most transition domains, help needed did not decrease with age and was not affected by function. …”
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6875
Dataset visualization diagram.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
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6876
Dataset sample images.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
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6877
Performance comparison of different models.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
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6878
C2f and BC2f module structure diagrams.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
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6879
YOLOv8n detection results diagram.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
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6880
YOLOv8n-BWG model structure diagram.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”