Results 161 to 170 of about 1,950 (244)
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]
Gu Z, Li X, Wang G, Wang L.
europepmc +1 more source
ABSTRACT This study examines how the Corporate Sustainability Reporting Directive (CSRD) and double materiality can be integrated within the agri‐food sector, with a particular focus on a company operating in hydroponic agriculture. This study conducts a comprehensive double materiality assessment to evaluate the organization's socio‐environmental ...
Christian Bux +3 more
wiley +1 more source
Takens-Based Kernel Transfer Entropy Connectivity Network for Motor Imagery Classification. [PDF]
Gomez-Rivera A +3 more
europepmc +1 more source
Sustainable Luxury: Understanding Consumer Responses to Purpose‐Driven Brand Strategies
ABSTRACT The study examines the dilemma faced by consumers in balancing the concepts of sustainability and luxury in the context of self‐gifting. The research is based on the Affect‐Behavior‐Cognition (ABC) framework and the Consumer‐Brand Identification (CBI) theory, which seeks to understand how the perceived sustainability–luxury fit and brand ...
Subhajit Pahari +3 more
wiley +1 more source
Observer effect modulates classification in a quantum epistemic framework. [PDF]
Hoorn JF, Ho JKW.
europepmc +1 more source
Graphene Materials for Sustainable Energy Applications: A Contemporary Perspective
ABSTRACT Graphene has garnered significant attention as a promising material with great potential for contributing to sustainable energy initiatives, such as RE100 (100% renewable energy initiative) and CF100 (100% carbon‐free initiative). This review aims to explore the potential of graphene for advancing renewable energy applications by highlighting
Niraj Kumar +3 more
wiley +1 more source
Multimodal Fusion of Structural and Diffusion MRI for Intelligence Prediction. [PDF]
Sapkota R, Thapaliya B, Liu J.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
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
Graph-based vision transformer with sparsity for training on small datasets from scratch. [PDF]
Li P, Huang L, Li J, Yan H, Shan D.
europepmc +1 more source
Beyond the hype surrounding the self‐healing properties of gallium‐based liquid metals (Ga‐LMs), this perspective critically examines their functional roles in metal‐ion batteries, highlighting both their underlying merits and the often‐overlooked challenges, including non‐representative design and testing configurations, performance overestimations ...
Turly P. P. Sumanasekara +7 more
wiley +1 more source

