This article presents a participatory science framework that engages communities in soil monitoring and management through co-designed projects, educational outreach, and simplified data collection protocols.

The Mata Atlântica has lost over 85% of its cover, threatening climate and livelihoods. Our study reveals that reforestation with long-lived wood products can triple profits while enhancing carbon sinks, urging policymakers, landowners, and industries to collaborate for sustainable restoration.

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.

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

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

Developing moist-electric array device using screen printing technology that meets mass customization, high power output, and wearable capabilities is very attractive for sustainable mobile power.

Per and polyfluoroalkyl substances (PFAS) are persistent synthetic chemicals with strong carbon-fluorine (C-F) bonds, making them resistant to environmental degradation. Their widespread presence in groundwater, surface water, and drinking water, is a serious environmental threat. This artciles demonstrates the potential of novel adsorbents to achieve high PFAS removal rates while minimizing secondary contamination risks.

IoT technologies are a powerful tool for large-scale water distribution systems, this survey highlight the key challenges such as interoperability, scalability, and energy efficiency. It proposes a framework that combines water network analysis, wireless network simulation, and optimization algorithms to enable sustainable and efficient deployment of massive IoT in water distribution systems