This chapter advances UN SDG goals 11, 13, and 9 by examining how cities can transform in the face of climate change and socio-ecological crises to become more sustainable and resilient.
This study aims to identify the factors that constrain and enable the sustainability of reusable packaging systems, considering environmental, economic, social and technical dimensions. This research is critical to the effective implementation and scale-up of reusable packaging systems.
This paper explores the potential implementation of the Consumption Footprint rationale to define a footprint indicator for the EU Bioeconomy, henceforth ‘Bioeconomy Footprint’. This indicator can be a powerful tool for a comprehensive and effective monitoring of the bioeconomy sectors: to capture environmental impacts over time, identifying environmental hotspots, highlighting geographic and sectorial trade-offs, and identifying burden shifts among impact categories and along the supply chain.
Results from this study contribute to define a complete set of environmental and social data and information, which can help European decision makers to define new criteria for sustainable management of the waste plastics of interest. A new methodological approach has been proposed: it appears able to be applied in future research projects involving innovative management options.
This article is an in-depth analysis of the challenges and solutions for the circular economy. This article relates to SDG 12, Responsible Consumption and production.
This study investigates three Mediterranean coastal lagoons to study harmful algae and pathogens on plastic debris.
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This chapter aligns with Goal 14: Life Below Water and Goal 9: Industry, innovation and infrastructure by highlighting the biodiversity of marine biofilms in the context of marine infrastructure.
A roadmap for health care leaders to execute intrinsic agency toward equity, supporting SDGs 3 and 10.
Digital health programs are urgently needed to accelerate the adoption of Artificial Intelligence and Clinical Decision Support Systems (AI-CDSS) in clinical settings. However, such programs are still lacking for undergraduate medical students, and new approaches are required to prepare them for the arrival of new and unknown technologies.

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