CEO Age and Corporate Environmental Performance: Evidence From French Listed Firms
ABSTRACT This study investigates the impact of CEO age on corporate environmental performance in the case of France, a country characterized by a strong commitment to sustainable development, emphasis on gender diversity, and elitism in the selection of corporate leaders. Using a sample of French firms listed on Euronext Paris between 2006 and 2024, we
Mehwish Yousaf, Pascal Nguyen
wiley +1 more source
Impacts of agritech on sustainable agriculture in Sub-Saharan Africa: a quantile regression approach towards SDG 2.4. [PDF]
Kantoğlu B +5 more
europepmc +1 more source
Abstract Flow cytometry is an essential component of routine hematological lab testing. Many computational methods have been proposed for the analysis of flow cytometry data, but most have focused on supervised learning for just one or a few specific disorders.
Brendan O'Fallon +4 more
wiley +1 more source
Improving Skin Lesion Diagnosis: A Hybrid Approach Using Orthogonal Combination of Local Binary Pattern Features and Ensemble Learning for Diagnostic Accuracy. [PDF]
Rahmani N, Ebrahimnezhad H.
europepmc +1 more source
ABSTRACT Objective To synthesize the evidence on the associations between vegetarian and vegan diets (VVDs) and eating disorder (ED) symptoms compared with omnivorous diets across the lifespan. Method Following the preferred reporting items for systematic reviews and meta‐analyses (PRISMA) 2020 Guidelines, we searched PubMed, Scopus, Cochrane Library ...
Valentina Díaz‐Goñi +8 more
wiley +1 more source
The impact of government macroeconomic policies and elections on income smoothing in state-controlled commercial banks: Evidence from the MENA region. [PDF]
Peykani P +4 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Association of risk management practices and financial performance of microfinance institutions in Ethiopia: A two-step system generalized method of moments approach. [PDF]
Molla MT, Kaur R.
europepmc +1 more source
Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su +2 more
wiley +1 more source
The impact of banking uncertainty on firm investment: A look into intangible assets. [PDF]
Huynh J, Phan TMH.
europepmc +1 more source

