Results 81 to 90 of about 192 (172)
ABSTRACT The sustainability balanced scorecard (SBSC) has become an influential framework for integrating sustainability into strategic management. Despite its growing adoption, research remains fragmented, and insufficiently aligned with the sustainability regulatory frameworks.
Biagio Maria Amico +2 more
wiley +1 more source
ABSTRACT Assessing the sustainability performance of life insurers has become increasingly important, as long‐term competitiveness depends not only on financial soundness but also on environmental, social, organizational, and governance‐related capabilities.
Özcan Işık, İbrahim Adalar
wiley +1 more source
Hybrid Fuzzing with LLM-Guided Input Mutation and Semantic Feedback
Software fuzzing has become a cornerstone in automated vulnerability discovery, yet existing mutation strategies often lack semantic awareness, leading to redundant test cases and slow exploration of deep program states. In this work, we present a hybrid fuzzing framework that integrates static and dynamic analysis with Large Language Model (LLM ...
openaire +2 more sources
ABSTRACT The bibliometric and qualitative analyses of 470 publications in the Web of Science Core Collection from 2004 through 2025 in this study associated the intellectual structure and thematic evolution of AI‐driven ESG cost modeling. The research commences using an integrated analytical framework consisting of three tools: (1) Bibliometrix (R) for
Nesreen Al‐Malkawi, Adriana Giret
wiley +1 more source
ABSTRACT This study addresses significant limitations in Environmental, Social, and Governance (ESG) evaluation by transcending disclosure‐based metrics and presenting a credibility‐focused analytical methodology that assesses the congruence between sustainability signals and substantive performance.
K. Ragazou
wiley +1 more source
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
wiley +1 more source
Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review
This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad +2 more
wiley +1 more source
We present a tandem nickel phthalocyanine (NiPc)/CNT‐P&Cu‐BCN photocatalyst, engineered with an organic–organic heterojunction for enhanced nitrogen conversion. This system integrates boron‐doped (B) nitrogen‐deficient (N) carbon nitride (CN), modified via Cu–Cu coordination and phosphorus doping through sodium borohydride‐assisted thermal treatment ...
Imran Khan +5 more
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Deployment of an aging‐based controller during designing of optimal lithium‐ion battery—supercapacitor (LB‐Sc) hybrid energy storage system (HESS) capacity, in off‐grid IREMGs, improves performance of the LB and reduces its aging rate. Also, annualised cost of the LB‐Sc HESS improves by 33.15% in relation to optimal LB SESS.
Isaac Gwayi +2 more
wiley +1 more source

