Dementia is characterized by a decline in memory, language, problem-solving and in other cognitive domains that affect a person’s ability to perform everyday activities and social functioning. It is ...

Objectives Patient involvement in safety improvement is a developing area of research. The aim of this study was to investigate the feasibility of a patient feedback on safety intervention in primary ...

Singapore – 13 November, 2025 – Bloomberg hosted its first Code Crunch Hackathon finale in Singapore on 29 October 2025, convening three shortlisted teams from Nanyang Technological University, ...

A general-purpose Model Context Protocol (MCP) server for solving combinatorial optimization problems with logical and numerical constraints. This server provides a unified interface to multiple ...

Professor of Management Science Associate Dean for Research and Innovation Maria Paola Scaparra is a Professor of Management Science and a member of the Centre for Logistics and Heuristic Optimisation ...

Business managers face an endless list of complex issues every day. They must make decisions about financing, where to build a plant, how much of a product to manufacture, how many people to hire, and ...

During their academic studies, medical students may encounter a variety of challenging situations. It is no wonder that they have a higher prevalence of poor mental health than the general population.

With the rapid development of the power industry, the safe and stable operation of the power system has become an important basis for safeguarding economic and social development. In order to adapt to ...

Center on Stochastic Modeling, Optimization, and Statistics (COSMOS), The University of Texas at Arlington, Arlington, TX, USA. Quantitative decision analysis involves notions of comparison and ...

ABSTRACT: The purpose of this paper was to examine the role of quantitative analysis in production planning decisions. This draws from the observed imperatives of quantitative analysis in business ...

Our method, DeepNovo, introduces deep learning to de novo peptide sequencing from tandem MS data, the key technology for protein characterization in proteomics research. DeepNovo achieves major ...