Application of Machine Learning to Study the Association between Environmental Factors and COVID-19 Cases in Mississippi, USA [0.03%]
机器学习在美国密西西比州研究环境因素与新冠肺炎病例关联性的应用
Francis Tuluri,Reddy Remata,Wilbur L Walters et al.
Francis Tuluri et al.
Because of the large-scale impact of COVID-19 on human health, several investigations are being conducted to understand the underlying mechanisms affecting the spread and transmission of the disease. The present study aimed to assess the ef...
Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization [0.03%]
评估非负矩阵分解中评估成分数量的方法
José M Maisog,Andrew T DeMarco,Karthik Devarajan et al.
José M Maisog et al.
Non-negative matrix factorization is a relatively new method of matrix decomposition which factors an m×n data matrix X into an m×k matrix W and a k×n matrix H, so that X≈W×H. Importantly, all values in X, W, and H are constrained to b...
Evaluation of Surrogate Endpoints Using Information-Theoretic Measure of Association Based on Havrda and Charvat Entropy [0.03%]
基于Havrda和Charvat熵的信息理论关联度量评价替代终点
María Del Carmen Pardo,Qian Zhao,Hua Jin et al.
María Del Carmen Pardo et al.
Surrogate endpoints have been used to assess the efficacy of a treatment and can potentially reduce the duration and/or number of required patients for clinical trials. Using information theory, Alonso et al. (2007) proposed a unified frame...
An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics [0.03%]
一种集成工作流程，用于构建心脏机电数字孪生-个性化主动力学的多保真度方法
Alexander Jung,Matthias A F Gsell,Christoph M Augustin et al.
Alexander Jung et al.
Personalised computer models of cardiac function, referred to as cardiac digital twins, are envisioned to play an important role in clinical precision therapies of cardiovascular diseases. A major obstacle hampering clinical translation inv...
A Mathematical Model for early HBV and -HDV Kinetics during Anti-HDV Treatment [0.03%]
抗HDV治疗早期HBV和HDV动力学的数学模型
Rami Zakh,Alexander Churkin,William Bietsch et al.
Rami Zakh et al.
Hepatitis delta virus (HDV) is an infectious subviral agent that can only propagate in people infected with hepatitis B virus (HBV). HDV/HBV infection is considered to be the most severe form of chronic viral hepatitis. In this contribution...
Rami Zakh,Alexander Churkin,Franziska Totzeck et al.
Rami Zakh et al.
Hepatitis D virus (HDV) is classified according to eight genotypes. The various genotypes are included in the HDVdb database, where each HDV sequence is specified by its genotype. In this contribution, a mathematical analysis is performed o...
Diffusion in Sephadex Gel Structures: Time Dependency Revealed by Multi-Sequence Acquisition over a Broad Diffusion Time Range [0.03%]
基于宽扩散时间范围多序列采集的Sepharose凝胶结构中的扩散特性的时间相关性研究
Guangyu Dan,Weiguo Li,Zheng Zhong et al.
Guangyu Dan et al.
It has been increasingly reported that in biological tissues diffusion-weighted MRI signal attenuation deviates from mono-exponential decay, especially at high b-values. A number of diffusion models have been proposed to characterize this n...
Within-Host Phenotypic Evolution and the Population-Level Control of Chronic Viral Infections by Treatment and Prophylaxis [0.03%]
治疗和预防控制慢性病毒感染的宿主内表型进化及群体水平效应
Dmitry Gromov,Ethan O Romero-Severson
Dmitry Gromov
Chronic viral infections can persist for decades spanning thousands of viral generations, leading to a highly diverse population of viruses with its own complex evolutionary history. We propose an expandable mathematical framework for under...
Efficient Methods for Parameter Estimation of Ordinary and Partial Differential Equation Models of Viral Hepatitis Kinetics [0.03%]
普通和偏微分方程模型的病毒性肝炎动力学参数估计的有效方法
Alexander Churkin,Stephanie Lewkiewicz,Vladimir Reinharz et al.
Alexander Churkin et al.
Parameter estimation in mathematical models that are based on differential equations is known to be of fundamental importance. For sophisticated models such as age-structured models that simulate biological agents, parameter estimation that...
Bijective Mapping Analysis to Extend the Theory of Functional Connections to Non-Rectangular 2-Dimensional Domains [0.03%]
双射映射分析：将功能连接理论扩展到非矩形二维域中的方法
Daniele Mortari,David Arnas
Daniele Mortari
This work presents an initial analysis of using bijective mappings to extend the Theory of Functional Connections to non-rectangular two-dimensional domains. Specifically, this manuscript proposes three different mappings techniques: (a) co...