Results 61 to 70 of about 958,322 (196)
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska +7 more
wiley +1 more source
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
Australian Gambling Taxation. [PDF]
Since ancient times, governments have regulated the extent and conditions under which gambling is permitted. Governments also developed an early financial interest in legalising gambling, realising that certain forms of gambling were a productive base ...
Julie Smith
core
Risk management externalities in agrifood supply chains
Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley +1 more source
ABSTRACT This study employs an intersectionality‐informed latent class analysis (LCA) to examine the hidden diversity of discouraged workers in Australia. Drawing on nationally representative data from the Household, Income and Labour Dynamics in Australia Survey, we identified six empirically distinct subgroups defined by intersecting demographic and ...
Sora Lee, Woojin Kang
wiley +1 more source
Objective The purpose of this study was to determine the benefit of a behaviorally designed incentive program and glucocorticoid injections in reducing symptoms and promoting physical activity in patients with knee osteoarthritis (KOA). Methods This was a pragmatic, multisite, factorially designed, blinded, randomized clinical trial.
Joshua F. Baker +17 more
wiley +1 more source
SpartanAnatomy.org: Evaluating a new interactive neuroradiology tool for early medical education
Abstract Teaching neuroanatomy through the lens of magnetic resonance imaging (MRI) offers medical students a strong foundation for success. However, many existing MRI learning resources lack interactivity and user‐friendliness, require payment, or include an overwhelming number of labeled structures.
Halie Kerver +3 more
wiley +1 more source
Abstract This article examines the factors associated with persistent absenteeism (an absence rate of 10% or higher) and authorised and unauthorised absence among secondary school pupils in Scotland. Using linked administrative data, the analysis focuses on secondary school stages S1–S6 in three academic years.
Silvia Behrens +6 more
wiley +1 more source
Abstract Character education research is often constrained by blunt methodological tools. Surveys capture breadth without depth; case studies offer richness but lack replicability; and randomised controlled trials (RCTs), though indispensable at the policy level, are costly, disruptive and ill‐suited to everyday practice with individual pupils.
Shane McLoughlin
wiley +1 more source

