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Computational realization of non-linear diffusion generalizing Barenblatt-Pattle's approach on the case of flows' simulations in elastic microvessels

机译:在弹性微型丝中流动模拟的情况下,计算实现非线性扩散概括Barenblatt-Pattle的方法

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The discovery of meningcal lymphatic vessels [Louveau et al, 2015] is one of the most impressive breakthroughs of neurophysiology of last years, and the problem of its functioning is a hot topic far from the complete resolution. In addition, first video recordings in vivo, which allows revealing spatio-temporal dynamics potentially possible, are made available only recently [Castranova et al., 2020]. This talk comprises two main issues in this respect, both of which address the practical sides of computational biophysics and data analysis: ⅰ) the computational analysis of the mentioned video records by means of MATLAB's tools for video and image processing as well as a presentation of its quantitative results; ⅱ) the methodology of numerical simulations of the proposed nonlinear partial differential equation that generalizes the Barenblatt-Pattle's solution for moving fronts spread in porous media on the case of distributed sources and channels with a finite width associated with lymphatic micro-vessels.
机译:脑膜淋巴管的发现[Louveau等,2015]是持续年度神经生理学最令人印象深刻的突破之一,其运作的问题是远离完整分辨率的热门话题。此外,允许揭示可能透露时空动态的体内录像,仅可用,仅可用,仅可用[Castranova等,2020]。该谈话包括这方面的两个主要问题,其中两个主要问题都解决了计算生物物理学和数据分析的实际方面:Ⅰ)通过MATLAB的视频和图像处理工具以及呈现所提到的视频记录的计算分析以及呈现其定量结果; Ⅱ)提出的非线性偏微分方程的数值模拟方法,概括了Barenblatt-Pattle的移动前线的解决方案在多孔介质中展开的分布源和通道与淋巴微容器相关的有限宽度。

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