Authors: Andreas D. Meid
arXiv
In many academic settings, medical students start their scientific work already during their studies. Like at our institution, they often work in interdisciplinary teams with more or less experienced...
Authors: Junji Ma, Jinbo Zhang, Ying Lin, Zhengjia Dai
arXiv
It is widely believed that the formation of brain network structure is under the pressure of optimal trade-off between reducing wiring cost and promoting communication efficiency. However, the questio...
Authors: Kairui Feng, Ouyang Min, Ning Lin
arXiv
Hurricanes have caused power outages and blackouts, affecting millions of customers and inducing severe social and economic impacts. The impacts of hurricane-caused blackouts may worsen due to increas...
Authors: Wei Chen, Jiusun Zeng, Xiaobin Xu, Shihua Luo, Chuanhou Gao
arXiv
In order to improve the fault diagnosis capability of multivariate statistical methods, this article introduces a fault isolation framework based on structured sparsity modeling. The developed method...
Authors: Lorenzo Cappello, Julia A. Palacios
arXiv
Longitudinal molecular data of rapidly evolving viruses and pathogens provide information about disease spread and complement traditional surveillance approaches based on case count data. The coalesce...
Authors: Gabriel Calvo, Carmen Armero, Maria Grazia Pennino, Luigi Spezia
arXiv
European sardine is experiencing an overfishing around the world. The dynamics of the industrial and artisanal fishing in the Mediterranean Sea from 1970 to 2014 by country was assessed by means of Ba...
Authors: Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann
arXiv
Simulation models are valuable tools for resource usage estimation and capacity planning. In many situations, reliable data is not available. We introduce the BuB simulator, which requires only the sp...
Authors: Elizabeth Handorf, Yinuo Yin, Michael Slifker, Shannon Lynch
arXiv
Objective: Social-environmental data obtained from the U.S. Census is an important resource for understanding health disparities, but rarely is the full dataset utilized for analysis. A barrier to inc...
Authors: Chen Tang, Tiandong Wang, Panpan Zhang
arXiv
The COVID-19 pandemic so far has caused huge negative impacts on different areas all over the world, and the United States (US) is one of the most affected countries. In this paper, we use methods fro...
Authors: Juan Kalemkerian, Diego Fernández
arXiv
In this paper we propose several variants to perform the independence test between two random elements based on recurrence rates. We will show how to calculate the test statistic in each one of these...
Authors: Neil Hwang, Shirshendu Chatterjee, Yanming Di, Sharmodeep Bhattacharyya
arXiv
We investigate the treatment effect of the juvenile stay-at-home order (JSAHO) adopted in Saline County, Arkansas, from April 6 to May 7, in mitigating the growth of SARS-CoV-2 infection rates. To est...
Authors: J. Allard, S. Champigny, V. Choulakian, S. Mahdi
arXiv
There are two popular general approaches for the analysis and visualization of a contingency table and a compositional data set: Correspondence analysis (CA) and log ratio analysis (LRA). LRA includes...
Authors: Paul A. Parker, Scott H. Holan, Ryan Janicki
arXiv
Statistical estimates from survey samples have traditionally been obtained via design-based estimators. In many cases, these estimators tend to work well for quantities such as population totals or me...
Authors: Robert Prentner
arXiv
This document gives a specification for the model used in [1]. It presents a simple way of optimizing mutual information between some input and the attractors of a (noisy) network, using a genetic alg...
Authors: Madhuchhanda Bhattacharjee, Arup Bose
arXiv
We propose an epidemiological model using an adaptive dynamic three compartment (with four states) SIR(D) model. Our approach is similar to non-parametric curve fitting in spirit and automatically ada...