Results 101 to 110 of about 1,348,105 (289)
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain +4 more
wiley +1 more source
Overconfident in Hindsight: Memory, Hindsight Bias and Overconfidence
Overconfidence and Hindsight Bias are two well-knowncognitive biases. Herein, it is argued these biases may berelated to one another and human memory limitations;specifically, that memory limitations result in hindsight bias,causing people to recall being right more often than theyactually were, which leads to overconfidence as people applythis ...
openaire +1 more source
Assessing the impact of model biases on subseasonal forecast skill
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley +1 more source
Quantifying driving ensemble influence on operational convection‐permitting ensemble spread
By comparing statistics of precipitation patterns between a convection‐permitting ensemble and the global ensemble used to drive it, we investigate the conditions under which the convection‐permitting ensemble diverges from the evolution of the driving ensemble.
Adam Gainford +4 more
wiley +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Remote sensing can reveal population dynamics of Antarctic penguin colonies. In this study, we analyze emperor penguin (Aptenodytes forsteri) guano stains in remote sensing imagery and discover colony presence predating known records for 18 colonies across Antarctica.
Martynas Bielinis +3 more
wiley +1 more source
Lifecycle‐Based Governance to Build Reliable Ethical AI Systems
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley +1 more source
Individual investors exhibiting irrational behaviors may encounter a difficult situation in financial markets. Investor trends, also known as behavioral trends, have been introduced under different headlines in different studies.
Salih Aydın, Beyza Demir, Bekir Elmas
doaj +1 more source
ABSTRACT Executive Summary Strategic decisions related to ownership participation in cross‐border acquisitions (CBAs) are among the most fundamental choices for African firms to address the unique internationalization challenges related to their home country context.
Dominik Anderhofstadt +2 more
wiley +1 more source
Abstract Background Effective training is fundamental to the development of critical skills for emergency veterinary interventions. This study presents a synthetic canine proptosis model designed to train veterinary interns, final‐year students and practitioners, offering an ethical, reproducible and high‐fidelity option for learning proptosis ...
Oren Pe'er, Lionel Sebbag, Ron Ofri
wiley +1 more source

