Results 21 to 30 of about 1,164 (180)
Advanced Intelligent Discovery, EarlyView.An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
Advanced Intelligent Systems, EarlyView.The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source
Vernacular Futurism: How Persian Language Users Imagine AI
AI &Innovation, EarlyView.ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
The Anatomical Record, EarlyView.This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source
Bayesian option pricing using mixed normal heteroskedasticity models [PDF]
Bayesian inference, option pricing, finite mixture models, out-of-sample prediction, GARCH ...
ROMBOUTS, Jeroen V.K., STENTOFT, Lars
core
Digital Technology's Role in Circular Waste Management: A Systematic Review
Business Strategy and the Environment, EarlyView.ABSTRACT Combining circular economy ideas with digital tools offers a game‐changing way to tackle global sustainability problems. This paper focuses on how digital changes and circular economy models link up. A review has been conducted for 112 articles from 2021 to September 2025, using PRISMA‐2020 methodology. This study covered new tech like AI, IoT,
Reza Eslamipoor
wiley +1 more source
Decarbonization in Financial Turbulent Times: Global Value Chains and Regulatory Framework
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how participation in global value chains (GVCs) influences carbon emissions amid financial turbulence, with attention to cross‐country heterogeneity and distributional dynamics. Although existing research has explored trade–environment linkages, limited attention has been given to how GVC integration interacts with ...
Xiaoyong Xu +4 more
wiley +1 more source
Nonlinear permuted Granger causality
Canadian Journal of Statistics, EarlyView.Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source