Search alternatives:
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
wet decrease » mean decrease (Expand Search), teer decrease (Expand Search), step decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
wet decrease » mean decrease (Expand Search), teer decrease (Expand Search), step decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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The wetting feature of compound solutions.
Published 2025“…Finally, considering all monomer surfactants’ abilities to reduce surface tension, decrease contact angles and promote dust settling in solutions, we selected five surfactants (AES, MES-30, AEO-9, CDEA and CHSB) for blending based on their excellent performance in tests. …”
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ROC curve and AUC value of all models.
Published 2024“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”
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Anisotropic Wetting and Diffusion Behavior of Water Droplets on Biphenylene Compared to Graphene
Published 2024Subjects: -
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Anisotropic Wetting and Diffusion Behavior of Water Droplets on Biphenylene Compared to Graphene
Published 2024Subjects: -
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Anisotropic Wetting and Diffusion Behavior of Water Droplets on Biphenylene Compared to Graphene
Published 2024Subjects: -
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Anisotropic Wetting and Diffusion Behavior of Water Droplets on Biphenylene Compared to Graphene
Published 2024Subjects: -
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AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre
Published 2025“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”
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BPN values at wet and slippery bends.
Published 2025“…<div><p>In order to study the change law of the anti sliding performance of desert highway in the wet and slippery state of the curve, two different curves and straight roads of the same highway were selected for the field test through the method of field test. …”
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MTD values at wet and slippery bends.
Published 2025“…<div><p>In order to study the change law of the anti sliding performance of desert highway in the wet and slippery state of the curve, two different curves and straight roads of the same highway were selected for the field test through the method of field test. …”
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