Global

This study aims to develop novel prognostic models based on the dynamic changes in variables to predict the short-term mortality of HBV-associated ACLF (HBV-ACL)
This Article supports SDG 3 by arguing that people under community correction supervision (probation or parole) are a large population of individuals at risk of viral hepatitis, to whom little attention has thus far been paid. Targeting hepatitis testing and treatment services at this population would be feasible and effective in reducing hepatitis incidence.
The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.
This chapter aligns with Goals 9 and 14 by studying the risk-based assessment methods associated with health, safety, and environmental protection of engineering structures and infrastructure, discussing how to prevent and mitigate oil and gas leaks, fires, explosions, and more.
This research provides an ethnographic review of hunter-gatherers' profound relationships with trees, today and into the deep past. In the modern west we sometimes ignore our profound human relationship with trees.
Elsevier,

Advanced Vaccination Technologies for Infectious and Chronic Diseases: A Guide to Vaccinology, Developments in Immunology, 2024, Pages 51-62

This content aligns with Goal 3: Good Health. Presents the successful influenza vaccines (using hemagglutinin and neuraminidase proteins), hepatitis B surface antigen vaccine, and the human papillomavirus vaccines targeting viral capsid proteins.
Elsevier,

Dynamic Aquaria, Fourth Edition: Building and Restoring Ecosystems and the Biosphere, 2024, pp 167-180

This chapter advances the UN SDG goals 13 and 14 by reviewing how to calculate species count in a high-veracity ecosystem model for use in climate resilience and aquatic conservation settings.
Elsevier,

The Lancet Child and Adolescent Health, Volume 8, March 2024

Adolescent girls are not receiving the support they need to thrive and are continuously disadvantaged by inattention and broad inequalities that limit their tremendous potential. Their potential is enormous—as is their belief in a better future.
In support of SDG 3, the authors present a student mental health support system, based on artificial intelligence and big data analysis. The system designed through the research aims to provide a personalized mental health support and guidance resource for students, who face increasing psychological pressure in today's society. The system also provides effective mental health monitoring and support tools for ongoing mental health promotion activities in educational settings.

Pages