The objective of this study is to examine disparities in Scopus-indexed journal production between BRICS and G7 countries from 2013 to 2023, focusing on growth trends, open access (OA) and non-OA production, subject representation, and quality metrics. Using data from the SCImago Journal Rank portal, the analysis evaluated growth rates, quartile rankings, and publisher dynamics. G7 countries maintained their global leadership, characterized by stable production systems and high-impact journals predominantly managed by commercial publishers. In contrast, the countries of Brazil, Russia, India, China, and South Africa (BRICS) exhibited diverse trends: China and Russia demonstrated rapid expansion through state-backed initiatives and the rise of domestic publishers, aiming to reduce reliance on foreign publishers and enhance global visibility. However, India experienced a decline, while Brazil and South Africa showed only modest growth in Scopus-indexed journal production. Similarly, G7 countries displayed internal variability, with the UK and Italy achieving notable growth, whereas Japan and France faced declines. These disparities within both groups underscore the critical influence of national research policies and infrastructure on journal production. BRICS countries showed a strong focus on STEM disciplines, with China emerging as a leader in both OA and non-OA journal production. Conversely, G7 countries maintained a balanced representation across STEM and social sciences. These findings suggest that national policies and infrastructure investments are key drivers of journal production growth, with BRICS countries leveraging new initiatives for expansion and G7 countries maintaining dominance through established systems.

The fast fashion industry is the leading clothing business globally. Regarding environmental and social concerns, the fast fashion industry needs to stand up and make a difference to minimize and provide a positive impact worldwide. This study explores the growing awareness and promotion of sustainable procedures in the fast fashion industry. This study focuses on the four primary fast fashion industries, including H&M, Uniqlo, Shein, and Zara. Collective research data has been applied and evaluated to explain how the fast fashion industry incorporates different sustainable actions in their company and describes the impact of society and other related interests on the fast fashion industry incorporating sustainable actions. The research shows that the fast fashion industry can garner consumer support and increase income through sustainable supply chains, social support, circular economy, and other corporate social responsibilities.

Large language models (LLMs) fundamentally challenge traditional information literacy frameworks through unreliable information generation, bias perpetuation, and disrupted authority structures. As these systems become integral to research, education, and decision-making, librarians should lead information stewardship in the AI era by applying core professional expertise in information evaluation, collection development, and reference intermediation to LLM environments. This paper presents a comprehensive framework positioning librarians as uniquely qualified LLM literacy leaders through established LIS competencies. It treats LLMs as information resources requiring systematic evaluation, applies reference techniques to AI interactions, and maintains professional ethics concerning intellectual freedom and equitable access. Grounded in recent literature, the proposed framework defines core competencies, outlines implementation pathways, and presents assessment strategies that support librarians in guiding communities through AI-mediated information environments. It demonstrates how established LIS professional skills provide an essential foundation for democratic information stewardship, ensuring that LLMs serve community needs while preserving standards of critical thinking. This positions LLM literacy as a natural extension of the librarian’s professional identity, offering a forward-looking model for leadership in technologically mediated environments.