Results 191 to 200 of about 10,658 (237)
Beyond Structural Interventions: The Human Architecture Shaping ESG Integration in Corporate Systems
Business Strategy and the Environment, EarlyView.ABSTRACT Despite the promotion of ESG in corporate discourse, substantive integration of ESG principles into business practices remains challenging. This study applies and extends Meadows' leverage framework to examine ESG integration in UAE‐listed firms.
M. Schulte, Dimitris Christopoulos
wiley +1 more source
Journal of Consumer Behaviour, Volume 24, Issue 2, Page 655-672, March 2025.ABSTRACT Consumers' increasing environmental concerns are prompting a shift in fashion consumption, fueling the remarkable growth of the second‐hand market. Over the last decade, this trend has spurred the emergence of a plethora of online platforms dedicated to the resale of pre‐loved fashion items.
Gabriele Murtas, Giuseppe Pedeliento
wiley +1 more source
Carbon Energy, EarlyView.A combination of visible light and thermal energy accelerates the CO formation rate up to 57 times compared to dark conditions using a 3Cu/CeTiO2−x catalyst. Kinetic analysis, as well as steady state and transient spectroscopy, was applied under photocatalytic conditions to analyze and disentangle the reaction channels under dark and illuminated ...
Miha Okorn +4 more
wiley +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
A Survey on Reduction of Energy Consumption in Fog Networks-Communications and Computations. [PDF]
Sensors (Basel)Kopras B, Idzikowski F, Bogucka H.
europepmc +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
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Representation of Infinitely Divisible Distributions on Cones
Journal of Theoretical Probability, 2007The authors prove that a normal cone \(K\) in a separable Fréchet space is regular if and only if every infinitely divisible probability measure \(\mu\) concentrated on \(K\) has regular Lévy-Khintchine representation on that cone. This proves the converse to the \textit{E. Dettweiler} theorem [Ann. Sci. Univ. Clermont 61, Math. 14 (1976) (Ec. Ete Calc.
Víctor Perez-Abreu, Jan Rosinski
exaly +3 more sources