Cyber-physical Systems (CPS) have revolutionized urban transportation worldwide, but their implementation in developing countries faces significant challenges, including infrastructure modernization, resource constraints, and varying internet accessibility. This paper proposes a methodological framework for optimizing the implementation of Cyber-Physical Urban Mobility Systems (CPUMS) tailored to improve the quality of life in developing countries. Central to this framework is the Dependency Structure Matrix (DSM) approach, augmented with advanced artificial intelligence techniques. The DSM facilitates the visualization and integration of CPUMS components, while statistical and multivariate analysis tool such as Principal Component Analysis (PCA) and artificial intelligence methods such as K-means clustering enhance complex system the analysis and optimization of complex system decisions. These techniques enable engineers and urban planners to design modular and integrated CPUMS components that are crucial for efficient, and sustainable urban mobility solutions. The interdisciplinary approach addresses local challenges and streamlines the design process, fostering economic development and technological innovation. Using DSM and advanced artificial intelligence, this research aims to optimize CPS-based urban mobility solutions, by identifying critical outliers for targeted management and system optimization.

This article aims to present an analysis of the evolution and contributions developed and integrated into the corpus of Earth Jurisprudence from practice in seven (7) South American countries where 135 records were found between 2005 and 2023. The case study was carried out using the methodological approach of the qualitative approach, the hermeneutic method, and the documentary review technique. The unit of analysis was based on the recognition of rights to nature, the data and information organized according to legal/political provisions, the state, the actor that initiated the action, and the ecological actor involved. Among the most outstanding findings, it is evident that a large number of records are concentrated in Ecuador and Colombia. The first correlates with the constitutionalization of the rights of nature and coincides with the second as they have been part of the stream known as new Latin American constitutionalism. In addition, a notable jurisprudential development recognizes nature as a subject of rights and declares it a victim of the armed conflict. Bolivia, which also joined this emerging denomination, has a different tendency than it had in its beginnings, not as the two countries mentioned above have done. Brazil stands out for its considerable increase in such legislative recognition. Argentina has a stronger emphasis on animal law. Peru has an incipient contribution to some regulatory implementation. Finally, Chile, the most laggard, tries it with a new constitution that recognizes these rights without having the approval at the ballot box. It is concluded the need to elevate the rights of nature and animals to constitutional status, claiming indigenous and ancestral cosmogonies regionally since it includes a legal stability that would facilitate the work of judicial and legislative actors and decision-makers for developing public policies, which would contribute to the practical development of the new Latin American constitutionalism and the Earth Jurisprudence.

With the accelerated pace of society and increasingly fierce competition across various fields, people’s daily stress continues to increase, and anxiety disorders have gradually become a prominent issue in the field of public mental health. Using the psychology work When Panic Attacks: The New, Drug-Free Anxiety Therapy That Can Change Your Life as an example, this paper explores the application of Relevance Theory in the translation of psychotherapy popular science texts. It summarizes the textual features and translation principles of psychotherapy popular science texts, and analyzes the methods and strategies to achieve optimal relevance between the source text and target text on the lexical and syntactic levels, aiming to provide references for future popular science translation practices.

This study aims to guide future research by examining trends and structures in scholarly publications about digital transformation in healthcare. We analyzed English-language, open-access journal articles related to this topic from the Scopus database, irrespective of publication year. Using tools like Microsoft Excel, VOSviewer, and Scopus Analyzer, we found a growing research interest in this area. The most influential article, despite being recent, has been cited 836 times, indicating its impact. Notably, both Western and Eastern countries contribute significantly to this field, with research spanning multiple disciplines, including computer science, medicine, engineering, business, social sciences, and health professions. Our findings can help policymakers allocate resources to impactful research areas, prioritize multidisciplinary collaboration, and promote international partnerships. They also offer insights for technology investment, implementation, and policy decisions. However, this study has limitations. It relied solely on Scopus data and didn’t consider factors like author affiliations. Future research should explore specific collaboration types and the ethical, social, policy, and governance implications of digital transformation in healthcare.

This study aims to analyse the current state of library and information science (LIS) education in South Korea and identify educational challenges in building a sustainable library infrastructure in the digital age. As libraries’ role expands in a rapidly changing information environment, LIS education must evolve. Using topic modelling techniques, this study analysed course descriptions from 37 universities and identified 10 key topics. The analysis revealed that, while the current curricula cover both traditional library science and digital technology topics, focus on the latest technology trends and practical, hands-on education is lacking. Based on these findings, this study suggests strengthening digital technology education by incorporating project-based learning; integrating emerging technologies, such as data science and artificial intelligence; and emphasising community engagement and soft skills development. This study provides insights into improving LIS education to better align with the digital era’s evolving demands.

In the process of China's industrial modernization development, intelligent manufacturing is one of the very important links, in the promotion of social development and economic development plays an important significance, therefore, it is necessary to maximize the level of intelligent manufacturing. As an important technical means in intelligent manufacturing, mechatronics technology has very great application advantages, which can not only promote the production efficiency and product quality, but also effectively reduce the cost of expenditure. This paper will study the application of mechatronics technology in intelligent manufacturing.