Monte Carlo methods have become a cornerstone in nuclear systems analysis, particularly for sensitivity studies, which determine how variations in nuclear data can affect key reactor parameters.

Then, the first-order sensitivity indexes (FSI) and total sensitivity indexes (TSI) of physical parameters and initial values are calculated, respectively. The results of numerical simulations show ...

Therefore, a sensitivity analysis is often needed to examine how hidden biases due to unobserved covariates affect inferences on treatment effects. In matched observational studies, where each treated ...

This publication provides the contributions from four individual organizations from four Member States describing their employed uncertainty and sensitivity assessment methods applied in simulating ...

Sensitivity analysis allows companies to predict the possible outcomes of various scenarios using a mathematical model.

Researchers detail an analysis method that could improve telescopes at the Simons Observatory by evaluating their performance before installation. This is the first time the optical performance of ...

Remote gas sensing in complex environments represents a critical frontier in environmental science. A team of Chinese ...

A study published in Current Pharmaceutical Analysis presents a validated RP-HPLC method for analyzing orlistat, an anti-obesity drug. The method ensures accurate quantification and is aligned with ...