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. These ...

Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...