Global

Combustion of fossil fuels is one of the main sources of emissions of greenhouse gases such as CO2, CO, and NOx. In order to decrease the emissions of these harmful gases and alleviate their unfavorable consequences, it is crucial to shift toward clean and renewable energy technologies. Aside from the environmental importance, there are other reasons, such as fluctuations in the price of fossil fuels, restrictions in their resources, and the importance of energy diversification for shifting toward alternative and clean energy systems. In this chapter, some of the most conventional and developed renewable energy systems are introduced. Afterwards, the importance of shifting toward renewable energy sources and the development of clean energy technologies is discussed. Following that, the obstacles and challenges related to the development of renewable energy systems are provided. According to the provided data and designed plans by international organizations, it can be concluded that renewable energy systems would have a significant contribution in the future; however, there are some challenges, such as requirement for investment, lack of proper infrastructure, and absence of clear and effective policies in some countries and regions that can act as obstacles to the development of these clean systems.

This paper reviews existing analyses on AI infrastructure’s energy and climate implications and proposes quantitative scenario-based frameworks, highlighting key research challenges at the intersection of AI-driven energy demand, region-specific clean energy strategies and their economic competitiveness, strategic levers in energy sourcing decisions, and policy dynamics.
Superhydrophobic coatings are sought for outdoor components that must repel water while enduring abrasion, icing, and corrosive media; however, the role of substrate temperature and laser fluence during laser texturing in balancing these properties is insufficiently mapped. The key challenge is to raise wear robustness without sacrificing anti-icing performance or triggering crack formation and corrosion.

An estimated 1.3 billion people around the world live with a significant disability - that’s 1 in 6 of us.

Each year on 3 December, the International Day of Persons with Disabilities (IDPD) highlights the importance of advancing the rights, well-being and full inclusion of persons with disabilities in every aspect of society.

To mark this important day, Elsevier has curated a free-to-access special collection featuring the latest research and insights, now available on the RELX SDG Resource Centre. Explore the collection. 

This study explored mental health understanding and experiences within the Bangladeshi Deaf community, aiming to co-develop culturally and linguistically appropriate digital mental health tools.

By mapping urban heat patterns, this study highlights how cities intensify climate impacts—and how smarter urban design can reduce heat stress. It showcases practical pathways to make cities more livable and climate-resilient.

By decoding environmental signals preserved in glaciers, this study reconstructs past climate variability. These long-term insights provide a powerful baseline to understand how today’s rapid warming deviates from natural patterns—and why urgent action is needed.

This article presents a qualitative systematic review on the experiences of students with physical disabilities in inclusive education settings.
The chemical industry must undergo a dual transformation: electrifying energy use and defossilizing carbon feedstocks. This paper, developed by ENGIEs Scientific Council, examines how energy and chemistry can converge to enable this shift.
Elsevier, iScience, Volume 28, 21 November 2025
This perspective explores the idea of the “Earth Grid,” which proposes an intercontinental electric grid facilitated by three technological advancements: enhanced information and communication technology (ICT) applications in the electric grid, development of inter-country grids for power-sharing, and the application of artificial intelligence (AI) for efficient operation and maintenance.

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