Abstract: [Purpose/Significance] The objective is to gain a comprehensive and in-depth understanding of the research dynamics and development trends in the field of digital academic services in Chinese libraries, ultimately providing a reference for enhancing the value and contribution of libraries in the academic research ecosystem. [Method/Process] Using the literature survey method to map and analyze the research on digital academic services of Chinese libraries and the scientific research life cycle from 2021 to 2025, the main research content is summarized from two major dimensions: the design of the digital academic service system and the practical approaches. Building on this foundation, and incorporating the new demands generated under the fifth research paradigm and a new stage of development for smart libraries, the future development direction and key areas of focus for digital academic services in libraries were further explored. [Result/Conclusion] The design of the digital academic service system for libraries primarily encompasses two aspects: service framework and service strategy. In terms of practical paths, a comprehensive collection of digital academic services has been established, centered around consulting decision support services, scientific research data services, AI intelligent assistance services, academic publishing services, digital humanities services, and various personalized services tailored by libraries based on specific needs. Given the characteristics of data-intensive, open science, and intelligent technology-assisted scientific research, libraries should prioritize industry trend prediction and research, implement the "theory-practice-new theory" cycle service, reconstruct the library's core capabilities and intelligent service system, precisely plan service projects closely related to users, and promote user experience optimization and continuous innovation in library services.

Abstract: [Purpose/Significance] Information disclosure is an inevitable requirement for the response to public health emergencies and the construction of a transparent government. Its disclosure way has a very important impact on the public's timely, comprehensive and accurate access to information. [Method/Process] Firstly, through literature review and public interview, combined with national information disclosure regulations, 17 major ways of public health emergency information disclosure were sorted out. Second, the public needs were collected based on the questionnaire designed by Kano model, and the public needs were divided into four categories according to the maximum frequency method. Then, based on the hierarchy of needs analysis, mixed class analysis and Better-Worse analysis, the way of information disclosure is deeply explored. [Result/Conclusion] Through demand level and mixed class analysis, government websites, Weibo, SMS, TV rolling subtitles and important news push are necessary requirements; short video, media platform, radio, TV, information bulletin boards and electronic information screen are attractive demand; the government's official WeChat account, press conference and government hotline are public expectation requirements; Weibo, SMS, TV rolling captions and important news push are mixed requirements. Finally, the importance and priority of various project elements from the Better-Worsedimension are analyzed. This study provides a basis for the selection of public health emergencies information disclosure methods, and is of great significance to further improving the information disclosure mechanism of public health emergencies.

Abstract: [Purpose/Significance] To explore the characteristics and inherent rules of health information interaction behavior among young social media users, and provide measures and solutions for social media intervention in users' positive health behavior. [Method/Process] In this paper, by collecting interview data, log files, experimental video data and Xiaohongshu note data, and adopting the data analysis methods of grounded theory and text mining, an in-depth analysis was conducted on the characteristics of young social media users' health information acquisition behaviors, the logic of health information quality evaluation, and the patterns of health information retrieval behaviors. And based on Engeström's Activity Theory and Kuhlthau's Information Search Process Model, an activity model of the health information retrieval behavior patterns of young social media users was constructed. [Result/Conclusion] The following conclusions were drawn: The sources from which young social media users obtain health information exhibit the characteristics of diversified choices that are mainstream-oriented and demand-driven. The ways in which they pay attention to health information content are mostly demand-based retrievals triggered by recommendations, and the categories of attention fall into multiple core areas of concern. Young social media users' evaluation paths for health information quality follow a dual path of subjective cognition and objective perception. The basis for judging the trustworthiness of health information is a collaborative inspection-style information assessment through the convergence of content and the consensus of comments, and the evaluation method of health information is based on the principle of the minority obeying the majority.

Abstract: [Purpose/significance] TPACK framework doesn’t describe the level of knowledge, and the generation and transformation process of knowledge. This paper constructed a TCP teacher knowledge system model to describe the TPACK structure of teachers more comprehensively. [Method/process] Based on the TPACK, this research constructed a three-dimensional TCP teacher knowledge system model, added three dimensions, including knowledge domain, knowledge level and knowledge related degree. Then, it drew on the principle of system science and knowledge science for thinking deduction and deduction, and analyzed the relationship between system variables in the form of solid geometry. [Result/conclusion] It was concluded that knowledge domain, knowledge level and knowledge related degree of TK, PK and CK can influence integration of TPACK, and the influence is positive. Besides, four ways to improve teachers’ TPACK integration ability were put forward.

Abstract: [Purpose/Significance] Exploring the accessibility of health information services for the elderly in the digital intelligence environment can provide an effective guarantee for the construction of healthy aging, and it is of great significance to explore its influencing factors and influence relationships. [Method/Process] Based on the information ecology theory, the influencing factors were extracted from 4 dimensions of information, information people, information environment and information technology, and the key influencing factors were identified by using DEMATEL method, and the hierarchical structure and association path of key influencing factors were determined by using ISM method. [Result/Conclusion] The results showed that 4 root factors of data storage technology, information coordination and sharing, policies and regulations, and communication infrastructure, as well as 2 surface factors of demand fit and service stability, have an important impact on accessibility enhancement, and thus suggested optimizing health information resource allocation, guiding age-appropriate service construction, and improving infrastructure construction.

Abstract: [Purpose/Significance] Public digital cultural resource platforms possess unique advantages in cultural resource integration and service. They are crucial tools for public cultural institutions such as libraries, museums, and archives to activate their resource advantages and enhance service levels. Investigating and summarizing the advanced experiences of mature cases can provide recommendations for the construction of related projects in China. [Method/Process] This study selected domestic and international Public digital cultural resource platforms, investigated and analyzed their resource preservation and service methods, and focused on the advanced explorations of the Europeana project in resource organization models, technology, and digital cultural resource services. Then, it proposed relevant optimization paths suitable for local projects. [Result/Conclusion] The research finds that standardized linked data models, systematic resource integration networks, and open and diverse service models are key factors contributing to the success of the Europeana project. Local projects should draw on relevant experiences and continuously improve in standardizing data formats and updating service concepts.

Abstract: [Purpose/Significance] In recent years, the concept of open science has been widely recognized and highly valued by governments. Many foreign universities and research institutions have incorporated open science into their scientific research management systems, and have carried out a large number of open scientific research work, which has achieved significant economic benefits. [Method/Process] This paper systematically reviews the cost estimation research of open science at home and abroad, and summarizes that the cost estimation research of open science mainly includes three aspects: scientific research funding institutions, scientific researchers and scientific research projects based on the open scientific research system, and systematically analyzes the measurement objects, calculation methods, quantitative benefits, monitoring and evaluation, etc. [Result/Conclusion] At present, scholars pay more attention to comprehensively evaluating the impact of open access/science on traditional scientific research funding, economic cost, knowledge diffusion, and discipline development, but there are also some shortcomings. In the future, research on the innovation of open science cost estimation, in-depth analysis of the impact of policy implementation, and comparative research on the practice of open science in different disciplines can be carried out.

Abstract: [Purpose/Significance] The study provides valuable references for understanding and predicting older adults’ smart senior technology continuance intention, which can help guide the design and improvement of smart senior technologies and further enhance the user experience. [Method/Process] The meta-analysis method was used to comprehensively analyze 34 quantitative research papers, focusing on the relationship between 14 groups of key variables that affect the intention of the elderly to continue to use smart senior technology, and the source of heterogeneity of the research results was analyzed with the help of the moderating effect test. [Result/Conclusion] The findings showed that social influence, facilitating condition, satisfaction, perceived usefulness, perceived ease of use, trust, and participation were significantly and positively related to smart senior technology continuance intention. In contrast, perceived risk and technology anxiety were negatively associated with smart senior technology continuance intention. In addition, the gender composition of the sample, the level of economic development of the country, the type of technology, and the size of the sample can moderate the correlations between the variables, resulting in differences between the findings.

Abstract: [Purpose / significance] Compare the gap between "double first-class" universities and truly first-class universities under the world standards, and provide ideas and suggestions for the "double first-class" construction. [Method / process] Based on the evaluation system of the world university rankings, taking the university group as the research object, a comprehensive comparative analysis was made between 36 “double first-class” universities in China and five typical first-class university groups in the world from the aspects of talent cultivation, scientific research, and social benefits. [Results / conclusion] The analysis results show that the values of the absolute indicators of the 36 “double-class” universities are higher than and far higher than the average of the 6 university groups, but the values of the relative indicators are all below and well below the average of the 6 university groups. In terms of talent cultivation, it is reflected that DC36 has a large number of faculty, but the faculty structure is unreasonable, and high-level talents and faculty allocation need to be improved. In terms of scientific research, it is reflected that DC36 has high scientific research output, but the quality of the paper is not high, especially the outstanding achievements are relatively few. In terms of social benefits, DC 36's international influence and the internationalization degree are not enough, the internationalization process and international exchanges need to be further strengthened.

Abstract: [Purpose/significance] It is of great theoretical and practical significance to explore the influence mechanism of social capital on the user stickiness of virtual academic communities, which is to stabilize the user group of this community in the industry competition. [Method/process] From the perspectives of the users' personal perception of virtual academic communities, this paper made a deep exploration on its dimensions of social capital, as a breakthrough point to explore the theoretical structure model on social capital, knowledge exchanges efficiency, user stickiness, and analyzed the adjustment role of the individual knowledge power derived from the virtual academic communities. The relationship between these variables was verified by the regression analysis of 270 samples data from the typical virtual community platforms. [Result/conclusion] The research shows that social capital contributes to the user stickiness of virtual academic communities. The knowledge exchange efficiency plays a complete mediation role between social interaction, social trust and user stickiness, and plays a partial mediation role between common vision and user stickiness. The influence of knowledge exchange efficiency on user stickiness is negatively regulated by knowledge power, that is, the higher the degree of knowledge power, the higher the efficiency of knowledge exchange will have a negative impact on user stickiness

Abstract: [Purpose/significance] Summarizing and exploring the path of open government data empowerment and value enhancement can enrich the theoretical basis in this field, and open up channels for the integration and utilization of open government data to value enhancement, and provide reference for the current stage of open government data resource construction and social environment construction . [Methods/process] Based on the analysis of the data usage and related policy releases of the open government data platform website, this paper explored the basic path of open government data empowerment and value enhancement from the three aspects of data, policy and market drive, and proposed future development strategies. [Results/conclusions] The basic internal and external driving paths of open government data empowerment and value enhancement can be divided into the following three types: data appreciation, policy release, and market promotion. And specific strategies that can be implemented at the emergence stage are proposed, that is, to release the value of open government data, increase the utilization efficiency of open government data, and build a open government data value enhancement strategy system that can be used for three purposes.

Abstract: [Purpose/significance] The period of big data has brought changes to all industries and fields of the society, as well as challenges to traditional knowledge management research. In order to adapt to the new era environment better, knowledge management needs to be re-recognized and re-positioned, and to meet and embrace new technologies on the challenges and changes it faces. [Method/process] This paper analyzed the role of knowledge management in the era of big data, discussed the methods and challenges of knowledge management in the era of big data, and put forward the development direction of knowledge management in the era of big data based on the reality. [Result/Conclusion] Knowledge management has not disappeared in the data age. The development of big data has promoted the transformation of knowledge management process from traditional to technical. Although big data has made a major breakthrough in explicit knowledge management, it is still a problem needs to be solved in tacit knowledge management. Knowledge management in the new era emphasizes technology application and the ability of extracting the value of knowledge from the data.

Abstract: [Purpose/significance] The appointment information of leading cadres plays an important part of the government information disclosure in China, the public questioning about the appointment information are likely to cause the network public opinion. The research on the disclosure of the appointment information and the feedback of network public opinion will help to improve the level of the disclosure of the government's appointment information.[Method/process] Through the construction of evaluation index system, this paper investigated some provincial government websites in China, focusing on universal problems in the information disclosure of leading cadres appointment. And then, by investigating the network public opinion feedback of the event—"Shaanxi deputy county magistrate's complete resume has become a mystery", this paper analyzed the public's emotional changes and information demand for the event.[Result/conclusion] The disclosure of government personnel appointment information cannot fully meet the information needs of the public. The government can improve the level of information disclosure of personnel appointment by 3 ways: paying more attention on public opinion feedback, improving the information disclosure system, and keeping the information disclosure and reporting channels unblocked.

Abstract: [Purpose/significance] From the perspective of industry chain, this paper takes virtual reality technology as an example, constructs VR patent industry chain corpus, and explores the technical theme, research and development hotspot and future development trend of China VR patent. [Method/process] First of all, this paper used Python to crawl the patent text in VR field and got effective corpus through data cleaning. Secondly, combining IPC classification number and K-means clustering algorithm, this paper constructed and validates VR patent industry chain. In addition, based on TF-IDF algorithm and LDA theme model, we identified the core technology themes and their comprehensive strength, technology research and development hotspots and future trends of China VR patents from the perspective of production chain. [Result/Conclusion] At present, the proportion of patents in each link of China VR industry chain is unbalanced. The upstream link is the most popular, followed by the downstream link, and the weakest link is the midstream link. In terms of theme mining, the upstream hot spot is software development, the midstream hot spot is film and television production, and the downstream hot spot is medical, educational and entertainment applications. In terms of future trends, the upstream of the industrial chain will be dominated by technologies such as electronic digital data processing, optical components, image communication, etc., the midstream will be dominated by technologies such as vehicle components, power devices, damping devices, etc., and the downstream will be dominated by technologies such as indoor games, medical diagnosis, identification, etc..