Results 21 to 30 of about 306 (181)
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
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley +1 more source
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley +1 more source
Task‐Related Aperiodic EEG (1/f) Activity in Autism
ABSTRACT Autism has been hypothesized to involve atypicalities in the balance between neural excitation and inhibition (E/I). Aperiodic EEG activity, characterized by the 1/f exponent of the power spectrum, provides a proxy of cortical E/I dynamics. However, prior studies in autism report mixed findings regarding the slope of aperiodic activity.
Magdalena Matyjek +3 more
wiley +1 more source
ABSTRACT Neisseria gonorrhoeae poses an urgent public health challenge due to rapidly increasing antimicrobial resistance and the absence of an effective vaccine. Targeting conserved bacterial pathways involved in essential physiological processes may provide new opportunities for vaccine antigen discovery.
Sinethemba H. Yakobi +1 more
wiley +1 more source
ABSTRACT This research develops and empirically validates the Community‐Oriented Marketing Approach (COMA), a 20‐item multidimensional scale designed to measure prosumer perceptions within participatory market systems. COMA conceptualizes prosumers as active co‐value creators and institutional agents, driving sustainable market governance.
Alpaslan Kelleci, Oguzhan Essiz
wiley +1 more source
ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy +2 more
wiley +1 more source
Board Gender Diversity and the Quality of Corporate Climate Impact Disclosure: UK Evidence
ABSTRACT This study examines how board gender diversity influences the quality of corporate climate impact disclosure, a critical element of firms' environmental transparency. Focusing on UK nonfinancial firms, we draw on gender socialisation and critical mass theories to explore how diverse boards contribute to strategic climate reporting.
Mahmoud Elmarzouky +2 more
wiley +1 more source
Abstract In biopharmaceutical manufacturing, protein aggregation is a critical quality attribute, necessitating rapid and reliable analytical strategies during downstream processes like anion‐exchange chromatography (AEX). While Raman spectroscopy enables continuous monitoring of protein secondary structure, standard data‐driven regression models ...
Jakob Heyer‐Müller +4 more
wiley +1 more source
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source

