This result has been elucidated in the relaxation approximation by different approaches to the diffusion problem. Essential for its derivation is a statistical independence assumption of space and velocities, and in order to get a classical diffusion law of Fick's type certain velocities have to be...
area code area correction param area data set area definition area description area effective target area entry area exchange area filling area format area graph area imager area inter-lata area key distributor area key distributor areal community areal density area light source areally areal recordin...
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2023 ICCV Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment 2023 ICCV Generalizing Event-Based Motion Deblurring in Real-World Scenarios Code 2024 WACV Single-Image Deblurring, Trajectory and Shape Recovery of Fast Moving Objects with Denoising Diffusion Probabilistic Models CodeDefocus...
Yang, D.: Analysis of least-squares mixed finite element methods for nonlinear nonstationary convection-diffusion problems. Math. Comput.69, 929–963 (2000) Download references Funding This work was supported by National Natural Science Foundation of China (11971366, 11571266 and 11661161017 ) and ...
Definition 1. Let P and Q be ordered sets. A map 𝜙:𝑃→𝑄 is said to be order preserving whenever 𝑥≤𝑦 in P implies 𝜙(𝑥)≤𝜙(𝑦), in 𝑄. When 𝑃=𝑄 are real valued vector spaces, and for fixed 𝑧∈𝑃 the maps 𝜙𝑎𝑑𝑑𝑧(𝑥)=𝑥+𝑧 an...
diffusion from the atmosphere. Phase 5 is considered the point at which MSW has stabilized yet remains the least well-understood of the lifecycle phases because it can take over 20 years to develop and there are limited datasets covering this timespan....
Furthermore, using the same Monte-Carlo simulation framework, we show for the first time that, at reasonably short diffusion times (td) of few tens of milliseconds, the water exchange between neurites and soma can be ignored, supporting the design of a simple three-compartment model to ...
QC (count depth, number of genes, % mitochondrial), normalization (global, downsampling, nonlinear), data correction (batch, denoising, imputation), feature selection, dimensionality reduction (PCA, diffusion maps, tSNE, UMAP), visualization, clustering (k-means, graph/community detection), ...