Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.

Methods We conducted a cost-effectiveness analysis in the Yorkshire Lung Screening Trial (YLST) population comparing three ...

Chasing zero hallucinations is costing you valid answers. Google researchers propose a "metacognitive" approach to save enterprise AI.

Nathan Reiff has been writing expert articles and news about financial topics such as investing and trading, cryptocurrency, ETFs, and alternative investments on Investopedia since 2016. Vikki ...

This prespecified economic evaluation used prospectively collected data from all trial participants (N = 889). The base case adopted the Canadian public payer perspective and included direct health ...

4 Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Background There is randomised controlled trial (RCT) evidence that neuromuscular training (NMT) programmes can reduce the ...

Abstract: The uncertainty of electric machines and drives is inherent in its manufacturing and assembly. Robust design optimization finds the design under these uncertainties that results in a minimal ...

Abstract: Uncertainty evaluation is essential in critical dimension small-angle X-ray scattering (CD-SAXS) as it reflects the reliability of the measurement results. In this work, we introduce a new ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

The AI revolution is here, and entrepreneurs are racing to capitalize on its transformative potential. But building an AI company isn’t just another startup journey—it demands unique strategies, ...

Latent variable modeling (LVM) is a powerful tool for validating tools and measurements in the social sciences. One of the main challenges in this method is the evaluation of model fit that is ...