Results 211 to 220 of about 52,931 (300)

Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari   +2 more
wiley   +1 more source

Automating evaluation of LLM-generated responses to patient questions about rare diseases. [PDF]

open access: yesJAMIA Open
Zhao M   +6 more
europepmc   +1 more source

From Policy to Practice: A Global Review of Circular Economy Strategy Documents in Construction Using NLP

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken   +5 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon 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

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