Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Combining artificial intelligence with physical climate modelling enables more accurate characterization of rare weather ...

We translated these qualitative narratives into a quantitative discrete-event simulation model of a 3-year operational horizon. The model quantified system performance (referral-to-treatment interval ...

4 School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK Objective To assess the efficiency of alternative monitoring services for people with ocular ...

Abstract: Multi-fidelity simulation is an effective approach to balancing speed and accuracy in expensive simulation, and its performance is affected by the quality of multi-fidelity simulation models ...

Objectives Continuous improvement in the delivery of health services is increasingly being demanded in the UK at a time when budgets are being cut. Simulation is one approach used for understanding ...

The Chinese healthcare system faces significant challenges such as an aging population and uneven resource distribution, necessitating technological innovations to enhance service efficiency and ...

The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, are threefold, centered around supercomputing: one is to target high performance computation itself as a ...

A high-performance discrete-event simulation framework for modeling HPC system architectures, network fabrics, and storage systems. Built on top of ROSS (Rensselaer Optimistic Simulation System) for ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...