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Concentration at sub-manifolds for an elliptic Dirichlet problem near high critical exponents
Let Ω be an open bounded domain in Rn with smooth boundary ∂Ω. We consider the equation ∆u + u n−k+2 n−k−2−ε = 0 in Ω, under zero Dirichlet boundary condition, where ε is a small positive parameter. We assume...
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Concentration at sub-manifolds for an elliptic Dirichlet problem near high critical exponents
Let Ω be an open bounded domain in Rn with smooth boundary ∂Ω. We consider the equation ∆u + u n−k+2 n−k−2−ε = 0 in Ω, under zero Dirichlet boundary condition, where ε is a small positive parameter. We assume...
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Deep Learning Forwarding in NDN With a Case Study of Ethernet LAN
In this paper, the authors propose a novel forwarding strategy based on deep learning that can adaptively route interests/data packets through ethernet links without relying on the FIB table. The experiment was conducted as a...
Decreased Water Mobility Contributes To Increased α-Synuclein Aggregation.
The solvation shell is essential for the folding and function of proteins, but how it contributes to protein misfolding and aggregation has still to be elucidated. We show that the mobility of solvation shell H2 O molecules...
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Semantic Segmentation of Hippocampal Subregions With U-Net Architecture
The Automatic semantic segmentation of the hippocampus is an important area of research in which several convolutional neural networks (CNN) models have been used to detect the hippocampus from whole cerebral MRI. In this paper...
Decreased Water Mobility Contributes To Increased α‐Synuclein Aggregation**
The solvation shell is essential for the folding and function of proteins, but how it contributes to protein misfolding and aggregation has still to be elucidated. We show that the mobility of solvation shell H2O molecules...
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Thermal WIMPs and the scale of new physics
We assess the status of a wide class of WIMP dark matter (DM) models in light of the latest experimental results using the global fitting framework $\textsf{GAMBIT}$. We perform a global analysis of effective field theory...
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