Results 111 to 120 of about 455 (208)

A Meta‐Analytic Review of Board Characteristics and Carbon Emission Disclosure: The Moderating Effect of Contextual Factors

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
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

Additivity and Chain Rules for Quantum Entropies via Multi-index Schatten Norms. [PDF]

open access: yesCommun Math Phys
Fawzi O   +3 more
europepmc   +1 more source

The Virial Expansion of the Hydrogen Equation of State in Comparison to PIMC Simulations: The Quasiparticle Concept, IPD, and Ionization Degree

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT The properties of plasmas in the low‐density limit are described by virial expansions. Analytical expressions are known for the lowest virial coefficients from Green's function approaches. Recently, accurate path‐integral Monte Carlo (PIMC) simulations were performed for the hydrogen plasma at low densities by Filinov and Bonitz (Phys. Rev.
Gerd Röpke   +3 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

The GFB Tree and Tree Imbalance Indices. [PDF]

open access: yesBull Math Biol
Cleary S, Fischer M, St John K.
europepmc   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

open access: yesDeep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi   +4 more
wiley   +1 more source

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