Results 81 to 90 of about 13,394,361 (202)

CEO Age and Corporate Environmental Performance: Evidence From French Listed Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
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

CEO Conversational Receptiveness and Its Role in Reducing ESG Controversies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Environmental, social, and governance (ESG) controversies can severely damage firms' legitimacy, reputation, and stakeholder trust. Yet little is known about how CEO leadership behaviors shape firms' exposure to such unfavorable ESG outcomes.
Thomas Hufnagel, Carolin Krieweth, Malte Brettel   +2 more
wiley   +1 more source

ON THE (NON-)EQUIVALENCE OF INTEGRAL BINARY QUADRATIC FORMS AND THEIR NEGATIVE FORMS

Integral binary quadratic forms have been extensively studied in order to compute the class number of real and complex quadratic fields. Many studies restricted the equivalence class of quadratic forms or identified specific forms in order to compute the ...
BARTHEL, Jim Jean-Pierre, Müller, Volker   +1 more
core   +1 more source

Plasmakristall‐4 Experiment: 10 Years of Operation in Orbit

Contributions to Plasma Physics, EarlyView.
ABSTRACT Plasmakristall‐4 (PK‐4) is a microgravity complex plasma laboratory operated for 10 years on board the International Space Station. Its main purpose is the particle‐resolved investigation of generic condensed matter phenomena using strongly coupled suspensions of microparticles immersed in low‐pressure gas‐discharge plasmas.
M. Pustylnik, H. M. Thomas, M. Kretschmer, M. Thoma   +3 more
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

EcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao, Fengming Zhou, Xinying Li, Ying Deng, Zexing Wu, Siyuan Feng, Yujing Zhu, Dan Zhang, Zhenyu Xiao   +8 more
wiley   +1 more source

Harnessing Thin‐Film Solid‐State Electrolytes: Enabling Breakthroughs in All‐Solid‐State Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Schematic illustration highlighting the advantages of transitioning from traditional thick solid‐state electrolytes (SSEs) to thin‐film SSEs. Thinning the electrolyte enables higher ionic conductivity, reduced interfacial polarization, improved flexibility, compact electrode contact, and enhanced energy density, offering a promising pathway toward high‐
Yitao He, Haoyang Cheng, Li Wang, Xiangming He   +3 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
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, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Phenotypic associations between young horse assessments and orthopaedic diagnoses in insured Swedish Warmblood horses

Equine Veterinary Journal, EarlyView.
Abstract Background Lameness is the most common health problem in riding horses, and insurance data have previously been used to investigate the prevalence of orthopaedic diagnoses in Swedish Warmblood (SWB) horses. Young horse performance testing is an important part of the SWB breeding programme and contributes data to the genetic evaluation ...
Sandra Bonow, Elin Hernlund, Susanne Eriksson, Erling Strandberg, Åsa Gelinder Viklund   +4 more
wiley   +1 more source

Flammability of Facades Across Scales and International Standards

Fire and Materials, EarlyView.
ABSTRACT Facade fires are a rare but destructive hazard that can lead to the rapid spread of fire between the floors and fire compartments of a building. Today, there are at least 21 different national standards for facade fire tests in use around the world, which seek to categorize facades based on their flammability.
Matthew Bonner, Wojciech Węgrzyński, Jakub Bielawski, Guillermo Rein   +3 more
wiley   +1 more source