MedDAM, a prompt-tuned DAM applied to medical images, reports 63.6% on the authors' MedDLC attribute-verification benchmark versus 50.2% for GPT-4o.
Global well-posedness and asymptotic behavior in Besov-Morrey spaces for chemotaxis-Navier-Stokes fluids
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abstract
In this work we consider the Keller-Segel system coupled with Navier-Stokes equations in $\mathbb{R}^{N}$ for $N\geq2$. We prove the global well-posedness with small initial data in Besov-Morrey spaces. Our initial data class extends previous ones found in the literature such as that obtained by Kozono-Miura-Sugiyama (J. Funct. Anal. 2016). It allows to consider initial cell density and fluid velocity concentrated on smooth curves or at points depending on the spatial dimension. Self-similar solutions are obtained depending on the homogeneity of the initial data and considering the case of chemical attractant without degradation rate. Moreover, we analyze the asymptotic stability of solutions at infinity and obtain a class of asymptotically self-similar ones.
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cs.CV 1years
2025 1verdicts
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Describe Anything in Medical Images
MedDAM, a prompt-tuned DAM applied to medical images, reports 63.6% on the authors' MedDLC attribute-verification benchmark versus 50.2% for GPT-4o.