This content aligns with Goal 3: Good Health and Well-being, Goal 9: Industry, Innovation, and Infrastructure, and Goal 10: Reduced Inequalities by discussing the mental health threats and potential benefits of digital technology use by children and adolescents, with a focus on sex and age-related differences.

This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the challenges and opportunities associated with Big Data in healthcare, from a sex and gender perspective.

This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the risks of sex and gender biases in Artificial Intelligence evolution, and the ways in which we can prevent them.

This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by considering how modern digital health strategies can reduce healthcare inequities and close the health treatment gap for remote, underserved communities.

This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by discussing the digitial health transformation opportunities enabled by Covid-19, as well as the associated issues that must be considered.

This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by discussing the potential for digital health technologies to exacerbate existing systemic and structure inequalities, and the ways in which we can avoid this.

This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by illustrating how digital health and gender empowerment can reduce inequities related to social determinants of health.

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.

The authors focus on evaluating green manufacturing strategies in the wire and cable industry using a modified Z-DEMATEL approach. It discusses the key criteria, their interrelationships, and the implications for decision-makers in promoting sustainable practices within the industry.

A comprehensive survey of the current research on using Blockchain and Federated Learning (FL) to enhance Intrusion Detection Systems (IDS) for Industrial Internet of Things (IIoT) networks. It examines the security challenges faced by IIoT systems, the potential threats, and the state-of-the-art approaches that leverage Blockchain and FL to address these issues.