Page 66 - Simulation News Today

Comelec 7: BSKE mall voting simulation in Cebu City proceeds without any issues

A shocking simulation shows how the bodies of passengers on board the Titan submersible may have imploded as the submersible collapsed.

Solar installer censured for ‘misleading’ claims on suburban installations

To support the aviation sector’s transition to sustainable aviation fuel, suppliers can look at leveraging simulation to speed up the process of developing new and blended fuel safely, says Mariano Morales, technical director aerospace and defence, Ansys.

Objectives: The use of directed observers in high-fidelity simulation education is increasingly common. While evidence suggests similar educational outcomes for directed observers compared to active participants in technical skills, it remains uncertain if this benefit also exists for senior clinicians, especially in mental workload. We sought to compare the workload between active participants and directed observers using an objective measure. Methods: We performed a prospective, repeated-measu...

Purpose: This study aimed to develop a computational environment for the accurate simulation of human cancer cell irradiation using Geant4-DNA. New cell geometrical models were developed and irradiated by alpha particle beams to induce DNA damage. The proposed approach may help further investigation of the benefits of external alpha irradiation therapy. Methods: The Geant4-DNA Monte Carlo (MC) toolkit allows the simulation of cancer cell geometries that can be combined with accurate modelling of...

Mall voting simulation in Cebu City on Aug. 19

The latest military training Technology Report compiled by Shephard.

Physicists are using quantum computers to conjure various exotic phenomena and are claiming that their creations are truly real. The work is forcing us to ask challenging questions about the nature of quantum reality

When analyzing environmental data, constructing a realistic statistical model is important, not only to fully characterize the physical phenomena, but also to provide valid and useful predictions. Gaussian process models are amongst the most popular tools used for this purpose. However, many assumptions are usually made when using Gaussian processes, such as stationarity of the covariance function. There are several approaches to construct nonstationary spatial and spatio-temporal Gaussian proce...