Mathematicians created a novel mathematical model and found that a mixture of repayment strategies might be best--depending on how much is borrowed and how much income the borrower has.
An extended epidemic model that accounts for uncertainty and the latest data can better predict the evolution of pandemics.
The COVID-19 pandemic has made clear the importance of understanding precisely how diseases spread throughout networks of transportation. In a paper publishing on Thursday in the IAM Journal on Applied Mathematics, Stephen Kirkland (University of Manitoba), Zhisheng Shuai (University of Central Florida), P. van den Driessche (University of Victoria), and Xueying Wang (Washington State University) study the way in which changes in a network of multiple interconnected communities impact the ensuing spread of disease.
Customer loyalty programs have been around for decades and are used to help businesses, marketers and sellers build a sustainable relationship with their customers. But do they work? A recent study sought to find out and researchers learned that while yes, customer loyalty programs do work, perhaps not in ways most may assume.
After winning the FIFA World Cup, France could also win the European Football Championship - this is the conclusion of researchers from the Universities of Innsbruck (Austria) and Ghent (Belgium), the Technical Universities of Dortmund and Munich (Germany) and Molde University College (Norway). England and Spain also have a good chance of winning the title, according to the forecast.
How materials behave depends on the interactions between countless atoms. You could see this as a giant group chat in which atoms are continuously exchanging quantum information. Researchers from Delft University of Technology in collaboration with RWTH Aachen University and the Research Center Jülich have now been able to intercept a chat between two atoms. They present their findings in Science on 28 May.
To deliver real-time feedback to support employee development and rapid innovation, many companies are replacing formal, review-based performance management with systems that enable frequent and continuous employee evaluation. New research in the INFORMS journal Information Systems Research examines the role of these applications to understand the effects on employee performance appraisals.
UC Berkeley researchers developed a suite of AI tools that can automatically identify characteristics of every buildings in a city and compute the risks they would face during a natural hazard event. The team tested the tools with simulated earthquakes in San Francisco; and hurricanes in Lake Charles, Louisiana, the Texas coast, and Atlantic City, New Jersey. The simulations generated realistic spatial distributions of buildings and identified some building characteristics with 100% accuracy.
Problems for eigenmodes of a two-layered dielectric microcavity have become widespread thanks to the research of A.I. Nosich, E.I. Smotrova, S.V. Boriskina and others since the beginning of the 21st century. The KFU team first tackled this topic in 2014; undergraduates started working under the guidance of Evgeny Karchevsky, Professor of the Department of Applied Mathematics of the Institute of Computational Mathematics and Information Technology.
Researchers at China's Qingdao University have developed a new 'multi-modal' image fusion method based on supervised deep learning. It enhances image clarity, reduces redundant image features and supports batch processing, improving the accuracy of medical diagnoses.