A 3D OPENFOAM BASED FINITE VOLUME SOLVER FOR INCOMPRESSIBLE OLDROYD-B MODEL WITH INFINITY RELAXATION TIME [0.03%]
基于OpenFOAM的不可压缩无穷松弛时间Oldroyd-B模型的有限体积求解器
Jing Tian,Mingchao Cai,Zhendong Luo et al.
Jing Tian et al.
In this paper, we develop a Finite Volume solver for a 3D incompressible Oldroyd-B model with infinity relaxation time. The Finite Volume solver is implemented by using a leading open-source computational mechanics software OpenFOAM. We hav...
Dynamics and profiles of a degenerated reaction-diffusion host-pathogen model with apparent and inapparent infection period [0.03%]
具有显性和隐性感染期的退化反应扩散宿主病原模型的动力学及剖面分布
Jinliang Wang,Han Lu
Jinliang Wang
Inapparent infection plays an important role in the disease spread, which is an infection by a pathogen that causes few or no signs or symptoms of infection in the host. Many pathogens, including HIV, typhoid fever, and coronaviruses such a...
Assessing potential insights of an imperfect testing strategy: Parameter estimation and practical identifiability using early COVID-19 data in India [0.03%]
基于印度早期COVID-19数据的参数估计和实际可识别性评估非完美的检测策略的潜在见解
Sarita Bugalia,Jai Prakash Tripathi
Sarita Bugalia
A deterministic model with testing of infected individuals has been proposed to investigate the potential consequences of the impact of testing strategy. The model exhibits global dynamics concerning the disease-free and a unique endemic eq...
Homogenisation for the monodomain model in the presence of microscopic fibrotic structures [0.03%]
带有微细纤维结构的单区域模型的同质化研究
Brodie A J Lawson,Rodrigo Weber Dos Santos,Ian W Turner et al.
Brodie A J Lawson et al.
Computational models in cardiac electrophysiology are notorious for long runtimes, restricting the numbers of nodes and mesh elements in the numerical discretisations used for their solution. This makes it particularly challenging to incorp...
Traveling wave speed and profile of a "go or grow" glioblastoma multiforme model [0.03%]
"go或生长"的多形性胶质母细胞瘤模型的行进波速度和形态
Aisha Tursynkozha,Ardak Kashkynbayev,Bibinur Shupeyeva et al.
Aisha Tursynkozha et al.
Glioblastoma multiforme (GBM) is a fast-growing and deadly brain tumor due to its ability to aggressively invade the nearby brain tissue. A host of mathematical models in the form of reaction-diffusion equations have been formulated and stu...
The stochastic [Formula: see text] -SEIHRD model: Adding randomness to the COVID-19 spread [0.03%]
带随机性的[公式见英文原题] -SEIHDR模型：为COVID-19传播添加随机性
Álvaro Leitao,Carlos Vázquez
Álvaro Leitao
In this article we mainly extend a newly introduced deterministic model for the COVID-19 disease to a stochastic setting. More precisely, we incorporated randomness in some coefficients by assuming that they follow a prescribed stochastic d...
Gian Italo Bischi,Francesca Grassetti,Edgar J Sanchez Carrera
Gian Italo Bischi
The aim of this paper is to study the effects of the Covid-19 pandemic suppression policies (i.e. containment measures or lockdowns) on labor supply, capital accumulation, and so the economic growth. We merge an epidemic SIS population mode...
Robust optimal control of compartmental models in epidemiology: Application to the COVID-19 pandemic [0.03%]
流行病学中的隔室模型鲁棒最优控制：COVID-19大流行的适用性研究
Alberto Olivares,Ernesto Staffetti
Alberto Olivares
In this paper, a spectral approach is used to formulate and solve robust optimal control problems for compartmental epidemic models, allowing the uncertainty propagation through the optimal control model to be represented by a polynomial ex...
Modeling calcium dynamics in neurons with endoplasmic reticulum: existence, uniqueness and an implicit-explicit finite element scheme [0.03%]
带内质网的神经元钙动力学模型：存在性、唯一性和隐式-显式有限元格式
Qingguang Guan,Gillian Queisser
Qingguang Guan
Like many other biological processes, calcium dynamics in neurons containing an endoplasmic reticulum is governed by diffusion-reaction equations on interface-separated domains. Interface conditions are typically described by systems of ord...
Ning-Ning Wang,Ya-Jing Wang,Shui-Han Qiu et al.
Ning-Ning Wang et al.
Migration plays a crucial role in epidemic spreading, and its dynamic can be studied by metapopulation model. Instead of the uniform mixing hypothesis, we adopt networked metapopulation to build the model of the epidemic spreading and the i...