This content aligns with Goal 3: Good Health and Wellbeing and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the cholinergic hypothesis of Alzheimer's Disease and potential innovations in cholinergic therapies.

International Day of Human Space Flight 2026: A Tribute to Exploration, Unity, and Progress

Big data shows significant potential for deep decarbonization in the transportation sector, while advances in artificial intelligence (AI) technologies help extracting valuable knowledge from such data. This study reviews the applications of big data and AI technologies in transportation, encompassing data accumulation, pattern understanding, and uncovering the intricate nexus between transportation activities and carbon emissions, ultimately providing insights for achieving carbon neutrality.

This article proposed a new research framework to help better account for the broader sustainability (e.g. local community well-being, affordability, accessibility) in the net-zero energy transition

Supported by Dubai Cares and together with Unbounded Associates and Plan International, the Ban Ki-moon Centre presents the “

Engaging in philanthropic activities is being pursued by many well-established supply chains.

Image of world map with SDG icons and people.  Title of RELX SDG Inspiration Day 2025 - Future of Philanthropy: Stepping up for the UN Sustainable Development Goals

RELX SDG Inspiration Day 2025

The Future of Philanthropy: Stepping up for the United Nations Sustainable Development Goals

Image of multi-coloured dots in a sphere on a black background with wording Corporate Responsibility at RELX: 2024 Year in Review

Corporate Responsibility (CR) starts with the positive impact RELX has on society through our products and services.

Elsevier,

María F. Manobanda-Lisintuña, Cristina A. Villamar-Ayala,
Carbon and water footprints within an environmental laboratory: Water, energy, and packaging management strategies,
Green Analytical Chemistry,
Volume 13,
2025,
100243,
ISSN 2772-5774,
https://doi.org/10.1016/j.greeac.2025.100243.

Also in laboratories we should be critical about the amount of water, energy, and resources used. There is room for increasing efficiency and better mangement there as well. The objective of this study is to evaluate the carbon and water footprints present in an environmental laboratory..

The authors demonstrate that Explainable Artificial Intelligence (XAI) enhances transparency in water systems through interpretable decision-making models. XAI supports policymakers by providing climate impact insights for urban drainage systems. A number of key water management challenges can be addressed with XAI.

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