Digital and Gender Attributes of IC in Sustainability Reporting of Italian Firms
ABSTRACT Italian listed enterprises increasingly rely on intellectual capital (IC) to enhance competitiveness and sustainability performance. As IC, comprising human, structural, and relational capital, is rarely recognised in financial statements due to the lack of standardised frameworks, its disclosure has gained relevance in sustainability ...
Alessandra Buonasera, Simona Catuogno
wiley +1 more source
Comparative genomics and metabolomics reveal phytohormone production, nutrient acquisition, and osmotic stress tolerance in <i>Azotobacter chroococcum</i> W5. [PDF]
Elakkya M +10 more
europepmc +1 more source
ABSTRACT The relationship between board governance and corporate carbon emission disclosure remains persistently inconsistent across the empirical literature, despite decades of accumulated evidence. Drawing on agency, stakeholder, legitimacy, institutional, and upper echelons perspectives within a single analytical framework, we conduct a three‐level ...
Mohamed Hegazy +2 more
wiley +1 more source
Formation of CO<sub>2</sub>-dependent small-colony variants (SCVs) in methicillin-resistant <i>Staphylococcus aureus</i> mediated by a single point mutation in <i>mpsB</i>. [PDF]
Chen S +9 more
europepmc +1 more source
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
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The completed mitochondrial genomes of Globodera vulgaris reveals new insights into the genus Globodera phylogeny. [PDF]
Yang S +6 more
europepmc +1 more source
Coincidence Detection in Flow Cytometry Using Pulse‐Shape Analysis in Polydisperse Suspensions
ABSTRACT Flow cytometers, based on an optical measurement principle, are widely used for cell characterization in a variety of medical applications. Especially in hematology, high counting accuracy is crucial. Therefore, it is essential to develop accurate but also fast coincidence correction methods.
Alexander Putz +2 more
wiley +1 more source
Cross Disease Similarity Awareness Learning (CDSAL) with DenseNet-EfficientNet embedding fusion for high-precision tomato leaf pathology classification with Grad-CAM explainability. [PDF]
Vanmathi C +4 more
europepmc +1 more source
Morphological signatures of bacteria‐laden drying droplets: A multimodal analysis across host fluids
Drying patterns of bacteria‐laden droplets encode concentration‐dependent signatures across three host fluids: serum, urine, and nutrient medium. By integrating time‐evolving texture descriptors, image features, and interpretable multimodal machine learning, this study demonstrates a label‐free approach for extracting information on bacterial ...
Anusuya Pal +6 more
wiley +1 more source

