World Intellectual Property Day 2024 is highlighting the critical importance of intellectual property (IP) in catalyzing the human innovation and creativity needed for achievement of the United Nations Sustainable Development Goals (SDGs). This study contributes to the literature by uncovering the tensions in developing a national-level intellectual property rights strategy. The results highlight that the development of intellectual property rights system is challenged by a lack of inclusiveness, matching capabilities, and high levels of disagreement among the stakeholders on development paths.
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 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.
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 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.
In the context of applying machine learning to solve problems for risk prediction, disease detection, and treatment evaluation, EHR pose many challenges– they do not have a consistent, standardized format across institutions particularly in US, can contain human errors and introduce collection biases. In addition, some institutions or geographic regions do not have access to the technology or financial resources necessary to implement EHR, thus resulting in vulnerable and disadvantaged communities not being electronically visible.
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.
This study supports SDG's 9 and 13 through its discussion of the effects of optimizing Municipal Solid Waste management systems by increasing waste collection coverage and implementing diverse streams of waste valorization, causing a decrease of atmospheric pollution.
