[Objective/Significance] Technology convergence is a key approach and driving force of innovation, and the use of effective knowledge mining methods can enhance technology utilization and innovation. Through literature review,the research progress,trends and challenges of technology convergence analysis methods are reviewed and summarized. [Method/Process] Three types of technology convergence opportunity discovery methods based on co-categorization, referential relations and semantics are compared and reviewed, a general framework for technology convergence measurement and prediction is constructed, the current status and shortcomings of current research are revealed, and future research directions are proposed. [Results/Conclusions] Technology convergence analysis shows the trend of composite method application, indicator vector diversification and process automation, etc. It is suggested that the monitoring framework should be optimized in future research in this field, and technology fusion research based on TOD and system theory should be carried out.

[Objective/Significance] The paradigm of scientific research driven by artificial intelligence has undergone a transformation, and materials chemistry is one of its important fields. [Method/Process] This article focuses on the research of artificial intelligence driven materials chemistry field, investigates the project deployment of major countries in this field, and combines the papers in this field in the WoS database to comprehensively analyze the main countries, important publishing institutions, important research progress, and challenges faced in the field using analytical tools such as DDA and ITGinsight. [Results/Conclusions] Research has found that material chemistry research driven by artificial intelligence has received attention from major countries such as the United States, Europe, the United Kingdom, and Japan, and is a rapidly developing emerging field in recent years. Artificial intelligence is assisting in accelerating the structural chemistry research of materials, thermodynamic research of material preparation processes, and dynamic research of material preparation processes. Artificial intelligence technology is bringing unprecedented innovative vitality to material chemistry research and accelerating the in-depth development of this field. It helps to solve complex problems, especially in accelerating the discovery of advanced materials. In the future, AI driven material chemistry research still relies on the deep integration of artificial intelligence and material chemistry.

[Objective/Significance] The breakthrough of mRNA vaccines has made their related technologies a candidate for the next generation of vaccines. mRNA vaccines belong to the third generation of vaccines and have advantages such as fast intracellular expression, simple preparation process, and short research and development cycle. Through literature analysis, reveal the global development trend of the mRNA vaccine field and clarify its research hotspots and innovative frontiers in scientific research. [Method/Process] Based on the scientific papers related to mRNA vaccines from 2015 to 2024, the bibliometric method was used to reveal the scientific research trend in the field of mRNA vaccines, and text mining was used to compare the research hotspots in the field of mRNA vaccines before and after the COVID-19 outbreak. In addition, constructing a citation relationship network between papers and patents to identify the forefront of innovation in the field of mRNA vaccines. [Results/Conclusions] The outbreak of novel coronavirus pneumonia has promoted the rapid development of mRNA vaccines. At present, it was found that the innovation frontier of mRNA vaccines still focuses on sequence selection of target sites, optimization of mRNA design, encapsulation of delivery vectors, production quality control, and large-scale industrialization, in order to provide reference for scientific research and technological development of mRNA vaccines.

[Objective/Significance] The synchrotron radiation light source SPring-8 in Japan is the most powerful third-generation synchrotron light source in the world. By analyzing the research output of SPring-8, this study aims to explore its contributions to technological advancement and its broader scientific impact at its critical juncture of facility upgrading. [Method/Process] Based on the official publication database of SPring-8, this study employs bibliometric and cluster analysis methods to investigate the current status and trends of research conducted using SPring-8. The analysis focuses on several aspects, including the annual publication trends, the distribution of major countries/regions, the distribution of key institutions, the distribution across disciplinary fields, and the distribution of research themes. Additionally, the publication trends of high-output beamlines are examined. Furthermore, this study also analyzes the publication status of enterprises and scientific researchers from Chinese mainland utilizing SPring-8. [Results/Conclusions] The number of research paper from SPring-8 has been increasing, with Japan leading in publication volume. Papers originating from the United States show the highest impact. Research activity from Chinese mainland has become more prominent over the past five years. The research output of SPring-8 exhibits clear multidisciplinary characteristics, with nanostructures and catalysis, as well as battery materials, emerging as prominent research themes in recent years. X-ray absorption fine structure (XAFS) and related techniques are the most frequently associated technologies with SPring-8 related publications. Furthermore, SPring-8 has played a key role in supporting research and development in Japanese companies. Corporate investment and construction in dedicated beamlines has positively influenced the amount of research output. China has also conducted a wide range of research topics utilizing SPring-8.

[Objective/Significance] This study constructs a global picture of the digital transformation of rural education by systematically combing relevant research at home and abroad, in order to provide theoretical support and practical enlightenment for the digital development of rural education in China. [Method/Process] Based on the literature data of CNKI and Web of Science, using bibliometric methods, combined with knowledge mapping and visual analysis, this paper systematically combs the research situation and core issues of digital transformation of rural education at home and abroad from the dimensions of publication trend, keyword frequency, keyword clustering and keyword emergence. [Results/Conclusions] The research shows that domestic research mainly focuses on the digital transformation of rural basic and community education, its value discussion and technology empowerment path ; foreign countries focus on the analysis of the digital divide, the digital literacy of different rural groups and the mechanism of digital education to promote rural sustainable development. China should be based on rural reality, adhere to the people-oriented, through deepening empirical research, explore the path of digital technology to empower education equity and quality improvement, and provide strong support for building a strong education country and promoting the coordinated development of urban and rural education.

[Purpose/Significance] The representative works of distinguished scientists are a concentrated expression of their academic thought, and analyzing the academic impact of these works is an important supplement to measuring their academic influence. [Method/Process] This study focuses on the eminent scholar Derek J. de Solla Price in the field of scientometrics, using citation data from various versions of his seminal work, Little Science, Big Science, collected from the Web of Science Core Collection. The analysis is conducted from four perspectives: "chronological citation trends" "source distribution of citations" "thematic distribution of citations" and "co-citation network analysis" employing scientometric and knowledge mapping methods. [Results/Conclusions] The findings reveal that since its publication in 1963, Little Science, Big Science has not only been continuously cited but also widely referenced across the globe. Analysis from the perspectives of fields, journals, and themes indicates that current citations are still predominantly within scientometrics, while new technologies, methods, and application scenarios are continuously expanding. Little Science, Big Science has become foundational, along with other classic works, in the fields of "scientometrics" "philosophy and sociology of science", and "research collaboration and knowledge production".