Results 191 to 200 of about 196,074 (263)

“We Are Willing to Change, If…”: Potential Impacts of Citizens' Assemblies on the Willingness to Change for Sustainability in Rural East German Municipalities

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT In light of the democratic and social‐ecological crises, deliberative minipublics such as citizens' assemblies are increasingly implemented and discussed by scholars as a means for sound decision‐making and to enhance public support for sustainability transformations.
Lea Findeis, Nicolas Jager
wiley   +1 more source

The difficult discussion on the deactivation of implantable cardioverter devices at the end of life: a systematic review

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 733-760, April 2025.
Abstract Implantable cardioverter defibrillators (ICDs) reliably prevent death due to life‐threatening arrhythmias; this may become less relevant in people with more severe heart failure who are reaching the end of life (EOL). This review aimed to explore the ICD deactivation process and identify ethical issues, especially around the initiation of ...
Siobhan C. Murray   +2 more
wiley   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo   +5 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

Delivering data: A real-world dataset for last-mile delivery optimization. [PDF]

open access: yesData Brief
Vrani A   +3 more
europepmc   +1 more source

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