Results 31 to 40 of about 245 (160)

The fuzzy approach to statistical analysis

, 2006
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes.
Kiers, Henk A. L.; id_orcid, Kiers, Henk A. L., Gil, Maria A., Coppi, Renato   +3 more
core   +1 more source

Unraveling the Roles of Supply Chain Management and Resilience in Advancing Circular Economy: Empirical Evidence Using PLS‐SEM

Business Strategy and the Environment, EarlyView.
ABSTRACT In recent years, environmental concerns have reached critical levels, emphasizing e‐waste management as essential to mitigating resource depletion. However, existing literature lacks frameworks identifying the antecedents of a circular economy.
Pedro Senna, Lino G. Marujo, Julio César Ferro de Guimarães, Leonardo Mangia Rodrigues, Míriam Machado Fabris Mesquita   +4 more
wiley   +1 more source

The natural history of periodontal disease—Part 2: In populations with access to dental care: The Studies of Health in Pomerania (SHIP)

Periodontology 2000, EarlyView., 2023
Abstract In this descriptive analysis of the 21‐year follow‐up data from the SHIP‐START cohort and the 7‐year follow‐up data from the SHIP‐TREND cohort, we report the progression of clinical attachment levels (CAL), age effects on CAL change, and a detailed description of CAL progression and remission. At baseline, 4307 and 4420 persons participated in
Thomas Kocher, Peter Meisel, Reiner Biffar, Henry Völzke, Birte Holtfreter   +4 more
wiley   +1 more source

Making the Invisible Visible: Exploring the Drivers and Outcomes of Human Rights Reporting in Latin America

Business Strategy and the Environment, EarlyView.
ABSTRACT Human rights disclosure is increasingly vital for corporate sustainability, particularly in Latin America, where labor abuses, inequality, and weak enforcement remain prevalent. This study investigates the drivers and outcomes of such disclosure in 416 large firms across the region.
Alan Bandeira Pinheiro, José Vitor Palhares dos Santos   +1 more
wiley   +1 more source

The AI Sustainability Paradox: How Verification and Regulation Synergize to Curb Greenwashing in Emerging Markets

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley   +1 more source

Corporate Governance and the Quality of Materiality Assessment Disclosure Under GRI 3: Evidence From Italy

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores the link between corporate governance and the quality of Materiality Assessment Disclosure (MAD) in sustainability reporting. Based on Agency Theory and the debate over substantive versus symbolic governance, it analyses 138 Italian firms subject to Legislative Decree 254/2016 that published their 2023 Non‐Financial ...
Andrea Bellucci, Andrea Cardoni, Romina Ferrini   +2 more
wiley   +1 more source

Harnessing Diversity: Majority‐Group Acculturation Predicts Creativity and Flourishing Over Time

European Journal of Social Psychology, EarlyView.
ABSTRACT Creativity and flourishing are core aims of higher education (HE) institutions and government initiatives globally. Large‐scale projects have linked creativity and flourishing with cultural diversity, yet their associations with majority‐group acculturation (i.e., how members of dominant culture groups adopt minority‐cultural elements and/or ...
David Colledge, K. Addington‐Lefringhausen, D. Dauber, Y. Zhu, K. H. Kim, N. Ferenczi, J. R. Kunst, T. C. Marshall, H. Zagefka, M. Cristea   +9 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
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, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

The causal manipulation and Bayesian estimation of chain event graphs [PDF]

, 2005
Discrete Bayesian Networks (BNs) have been very successful as a framework both for inference and for expressing certain causal hypotheses. In this paper we present a class of graphical models called the chain event graph (CEG) models, that generalises ...
Riccomagno, Eva, Smith, J. Q.
core  

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source