Results 211 to 220 of about 71,830 (288)
ABSTRACT This study examines how European automotive companies disclose circular economy (CE) information in light of the Corporate Sustainability Reporting Directive (CSRD) and the European Sustainability Reporting Standards (ESRS) E5. Using a mixed‐methods, data‐driven approach that combines keyword analysis and latent Dirichlet allocation (LDA ...
Dominika Hadro +4 more
wiley +1 more source
Underground solution to the long-time solar fusion reaction puzzle. [PDF]
Jiang Y, Liu W.
europepmc +1 more source
Abstract Scaled production of cultivated meat (CM) will co‐produce large volumes of spent media. Recycling of abundant metabolites such as lactic acid in spent media offers an opportunity for valorization and reduction of the carbon footprint of CM production; however, the feasibility has yet to be examined.
Josh Wimble +2 more
wiley +1 more source
Clouds and chemistry across the brown dwarf T–Y sequence: Insights from JWST atmospheric retrievals
A. Lueber, D. Kitzmann, K. Heng
openalex +2 more sources
Consumer Adoption of Internet of Things
ABSTRACT The Internet of Things (IoT), a pivotal technology in enhancing user connectivity, faces a paradox: its widespread potential yet limited consumer adoption. This study addresses this dichotomy by synthesizing a large‐scale meta‐analytic structural equation modeling (MASEM) and hierarchical linear meta‐analysis (HiLMA) of 2736 effect sizes from ...
Wagner Junior Ladeira +6 more
wiley +1 more source
A precise metallicity and carbon-to-oxygen ratio for a warm giant exoplanet from its panchromatic JWST emission spectrum. [PDF]
Wiser LS +13 more
europepmc +1 more source
The Application of Carbon Dots in Crops for Sustainable Agriculture
Carbon dots serve as versatile nanoagents across the crop life cycle. They promote plant growth and photosynthesis, enhance resilience to biotic and abiotic stresses, aid in postharvest preservation, and enable sensitive detection of contaminants.
Xue Li +4 more
wiley +1 more source
Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning. [PDF]
Gray C, Chitnavis S, Buja T, Duffy CDP.
europepmc +1 more source

