Beryllium-10, a rare radioactive isotope produced by cosmic rays in the atmosphere, provides valuable insights into the Earth ...

These phenomena are too complex to be analyzed by numerical methods; however, they are relatively accessible by probabilistic models especially the Monte Carlo simulation. In this review, we discuss ...

Department of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia 22030, United States Quantum Science and Engineering Center, George Mason University, Fairfax, Virginia 22030, ...

"Obesity is a complex problem and has different significance ... The group of experts recommends using two levels of obesity: preclinical and clinical. With preclinical obesity, the person has ...

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML) ...

Carlo Ancelotti has been a lightning rod for Real Madrid's problems this season. Jose Breton/Pics Action/NurPhoto via Getty Images "You always have to improve, to learn," Ancelotti said when asked ...

The Monte Carlo method is a mathematical algorithm that can be used to calculate probability based on repeated random sampling. It can be used to break down randomness into figures and statistics, and ...

Then there’s the legendary Rallye Automobile Monte-Carlo WRC, renowned for its winding courses and particularly technical challenges this year. Fans of historic races aren’t forgotten, with the ...

This paper introduces a novel testing and evaluation method that leverages subset simulation (SuS) with adaptive Markov chain Monte Carlo (ApMCMC). The method is designed to facilitate the occurrence ...