A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Expectiles are a coherent and elicitable alternative to commonly used market risk measures, but practical backtesting tools have lagged behind. This study proposes new backtests that separate ...

Introduction Cigarette companies have stated their intent to transition from selling cigarettes to selling less harmful products, such as e-cigarettes. We examine trends in US cigarette marketing ...

Objectives Rising patient numbers and limited resources are creating a challenging environment for healthcare providers recently. Anaesthesiologists are also increasingly faced with complex situations ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

In sum, the student transformed a general interest in children in tragedy to an examination of Euripides’ depictions of children murdered by their parents. They then narrowed their focus to three ...

Data sources We searched Embase, MEDLINE (via Ovid), PubMed and Web of Science Core Collection from inception to 9 October 2023. Eligibility criteria We included simulation studies comparing responder ...

In December 2025, the group contributed to two presentations at the American Geophysical Union (AGU) Annual Meeting, developed in collaboration with the University of Wyoming, the NSF National Center ...

Abstract: For consideration of device variability in circuit design we review classical approaches like Monte Carlo simulation and a noise-based simulation technique for the example of an organic thin ...