Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip
Published 2025“…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”
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Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip
Published 2025“…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”
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Data Sheet 1_Prognostic value of left atrial strain in significant aortic valve disease: a systematic review and meta-analysis.pdf
Published 2025“…Background<p>Previous studies on aortic valve disease have mainly focused on the left ventricle, but increasing evidence suggests that left atrial strain also has prognostic value in significant aortic valve disease.</p>Objective<p>To systematically evaluate the prognostic value of left atrial strain in significant aortic valve disease.…”
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Some examples of selected Chinese characters.
Published 2025“…Our model shows clear enhancements in structural accuracy (SSIM improved to 0.91), pixel-level fidelity (RMSE reduced to 2.68), perceptual quality aligned with human vision (LPIPS reduced to 0.07), and stylistic realism (FID decreased to 13.87). It reduces the model size to 100M parameters, cuts training time to just 1.3 hours, and lowers inference time to only 21 minutes. …”
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Yearly crude rates for alcohol-induced deaths among females by state in 2019, 2021, and 2024.
Published 2025Subjects: -
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