Modeling nonlocal behavior in epidemics via a reaction-diffusion system incorporating population movement along a network [0.03%]
通过包含网络中人口流动的反应扩散系统模拟传染病的非局部行为
Malú Grave,Alex Viguerie,Gabriel F Barros et al.
Malú Grave et al.
The outbreak of COVID-19, beginning in 2019 and continuing through the time of writing, has led to renewed interest in the mathematical modeling of infectious disease. Recent works have focused on partial differential equation (PDE) models,...
A mesoscale agent based modeling framework for flow-mediated infection transmission in indoor occupied spaces [0.03%]
一种室内占用空间介导的流动感染传播的介观尺度代理建模框架
Debanjan Mukherjee,Gauri Wadhwa
Debanjan Mukherjee
The ongoing Covid-19 pandemic, and its associated public health and socioeconomic burden, has reaffirmed the necessity for a comprehensive understanding of flow-mediated infection transmission in occupied indoor spaces. This is an inherentl...
Anatomy matters: The role of the subject-specific respiratory tract on aerosol deposition - A CFD study [0.03%]
解剖位置很重要：基于个体的呼吸道在气溶胶沉降中的作用-一项CFD研究
Jana Wedel,Paul Steinmann,Mitja Štrakl et al.
Jana Wedel et al.
The COVID-19 pandemic is one of the greatest challenges to humanity nowadays. COVID-19 virus can replicate in the host's larynx region, which is in contrast to other viruses that replicate in lungs only, i.e. SARS. This is conjectured to su...
Real-time dynamic simulation for highly accurate spatiotemporal brain deformation from impact [0.03%]
基于撞击的高精度时空脑变形实时动态仿真
Shaoju Wu,Wei Zhao,Songbai Ji
Shaoju Wu
Real-time dynamic simulation remains a significant challenge for spatiotemporal data of high dimension and resolution. In this study, we establish a transformer neural network (TNN) originally developed for natural language processing and a...
An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticity [0.03%]
一种精确、稳定且高效的有限元方法框架及其在各向异性近似和完全不可压缩弹性问题中的应用
Elias Karabelas,Matthias A F Gsell,Gundolf Haase et al.
Elias Karabelas et al.
Fiber-reinforced soft biological tissues are typically modeled as hyperelastic, anisotropic, and nearly incompressible materials. To enforce incompressibility a multiplicative split of the deformation gradient into a volumetric and an isoch...
Simulation of the 3D Hyperelastic Behavior of Ventricular Myocardium using a Finite-Element Based Neural-Network Approach [0.03%]
基于有限元的神经网络方法模拟心室 myocardium 的三维超弹性行为
Wenbo Zhang,David S Li,Tan Bui-Thanh et al.
Wenbo Zhang et al.
High-fidelity cardiac models using attribute-rich finite element based models have been developed to a very mature stage. However, such finite-element based approaches remain time consuming, which have limited their clinical use. There rema...
Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks [0.03%]
基于卷积dropout网络的心血管模型中几何不确定性研究
Gabriel D Maher,Casey M Fleeter,Daniele E Schiavazzi et al.
Gabriel D Maher et al.
We propose a novel approach to generate samples from the conditional distribution of patient-specific cardiovascular models given a clinically aquired image volume. A convolutional neural network architecture with dropout layers is first tr...
A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation [0.03%]
心脏和循环的高效计算的生理全面的三维零维闭环模型
Christoph M Augustin,Matthias A F Gsell,Elias Karabelas et al.
Christoph M Augustin et al.
Computer models of cardiac electro-mechanics (EM) show promise as an effective means for the quantitative analysis of clinical data and, potentially, for predicting therapeutic responses. To realize such advanced applications methodological...
Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries [0.03%]
复杂域上几何不确定性的随机建模及其在增材制造和大脑接口几何中的应用
Hao Zhang,Johann Guilleminot,Luis J Gomez
Hao Zhang
We present a stochastic modeling framework to represent and simulate spatially-dependent geometrical uncertainties on complex geometries. While the consideration of random geometrical perturbations has long been a subject of interest in com...
Parameterization, geometric modeling, and isogeometric analysis of tricuspid valves [0.03%]
三尖瓣的参数化、几何建模及等几何分析方法研究
Emily L Johnson,Devin W Laurence,Fei Xu et al.
Emily L Johnson et al.
Approximately 1.6 million patients in the United States are affected by tricuspid valve regurgitation, which occurs when the tricuspid valve does not close properly to prevent backward blood flow into the right atrium. Despite its critical ...