Global

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In this episode of the "World We Want" podcast, Márcia Balisciano interviews Klaus Brun, Vice President of Products and Technology, Ebara-Elliott Energy. They discuss why clean, reliable energy is essential for global sustainability and what technologies like turbines and hydrogen/CO₂ transport are needed for the transition. They also note how AI both raises energy demand and helps improve system efficiency.

Learn about the history of the ADAM Program and get a behind the scenes look at the new Interactive Missing Children Dashboard. This article demonstrates the power of the ADAM Program in locating missing children, relating to SDG 16, Peace, Justice and Strong Institutions. The ADAM Program is the result of a 25 year partnership between LexisNexis Risk Solutions and the National Center for Missing & Exploited Children (NCMEC).

The goal of this special issue is to highlight the latest and most significant outcomes in energy and carbon-neutral urban water management for net-zero emissions.

Elsevier,

Climate Change and Disability: A Collaborative Approach to a Sustainable, Inclusive Future for All 2026, pp 45-48

This chapter highlights how climate change intensifies health challenges and resource access barriers for women with disabilities, aligning with SDG 3 (Good Health and Well-being) by emphasizing the need for inclusive decision-making to improve health outcomes and ensure equitable access to rights.

Elsevier,

Climate Change and Disability: A Collaborative Approach to a Sustainable, Inclusive Future for All 2026, pp 77-84

This chapter underscores how climate change amplifies health risks and systemic barriers for children, especially those with special health care needs, aligning with SDG 3 (Good Health and Well-being) by addressing health vulnerabilities, SDG 10 (Reduced Inequalities) through calls for inclusive policies, and SDG 13 (Climate Action) by advocating disability-inclusive climate adaptation and resilience strategies.

Image of Folia Water stand at Pollutec featuring a banner and water filter equipment

The 2025 winners of the RELX Environmental Challenge, which supports innovative solutions to advance SDG 6 Clean water and sanitation, have been announced.

Report on a new smart delivery system designed to target and treat Alzheimer's disease more effectively, aiming to overcome the challenges of current treatments and offering a promising way to fight Alzheimer's more accurately and safely.
This article provides a comprehensive review of the use of graphene-based biosensing platforms for the early detection of Alzheimer's disease. It is found that graphene-based biosensors can detect Alzheimer's disease biomarkers at femtomolar concentrations, enabling early diagnosis before symptom onset. These sensors can also identify multiple biomarkers simultaneously in accessible biofluids like blood, saliva, and urine, enabling less invasive testing.
This study presents AlzFormer, a novel deep learning framework utilizing spatiotemporal self-attention to classify Alzheimer’s disease (AD), mild cognitive impairment (MCI), and cognitively normal (CN) individuals from structural MRI scans. By modeling MRI volumes as sequential slice-based inputs and fine-tuning a pre-trained TimeSformer model, AlzFormer achieved 94% accuracy and high class-wise F1-scores, while attention map analyses highlighted clinically relevant brain regions, demonstrating both robust performance and interpretability in multiclass AD diagnosis.

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