[Purpose/Significance] Red Star Over China, a classic work of red China by American journalist Edgar Snow, has been translated into more than twenty languages and published around the world. The study on the historical track and geographical distribution of the book's global publishing can not only show its acceptance and influence around the world, but also have important reference value and practical significance for the international dissemination of Chinese story and Chinese image in the new era. [Method/Process] Using OCLC WorldCat, the paper took a long-term and large-scale investigation of the book's global collection, and exposed the spatial and temporal characteristics of the book's publishing in the context of globalization. [Result/Conclusion] Statistics and analysis of the book's global collections show that the book has been published in five stages in the past 85 years, including rapid circulation, renewal, short-lived stagnation, overseas recovery and stable development, and in the spatial dimension. It has built up a cultural geography with a diversity of publishing languages, a large-scale publishing market and extensive overseas collections.

[Purpose/Significance] Analyzing the influencing factors of user-generated content (UGC) platform users’ digital hoarding behavior can enrich and expand the research of digital hoarding, and provide reference for optimizing the design of UGC platforms. [Method/Process] Taking Xiaohongshu as an example, based on the theory of planned behavior, the paper constructed a model of the influencing factors of users’ digital hoarding behavior on UGC platforms, and adopted SPSS and AMOS to analyze the data collected by questionnaire survey. [Result/Conclusion] Users’ attitudes and subjective norms positively influence digital hoarding intention, while attitude, users’ cultural identity, and physical hoarding behavior positively influence digital hoarding behavior. UGC platforms can deal with users’ collection-based digital hoarding by guiding them to collect carefully, providing reminders and regular cleaning functions, and setting collection limits and classification labels.

[Purpose/Significance] On the basis of existing education strategies at home and abroad, this paper analyzes the connotation of digital information literacy education, sets the scientific and reasonable education goals, and proposes the corresponding countermeasures as the reference for colleges and universities in China. [Method/Process] This paper systematically combed of the digital information literacy education practice in college and university libraries, and summarized the main problems at present. By setting the education goals, it explored the effective countermeasures to enhance the quality of digital information literacy education for college students in the new era. [Result/Conclusion] To support digital information literacy education in colleges and universities, it should take the library as the center, enriching the digital information literacy courses and teaching methods, and cooperating with the government and society to form a multi-department education model, so as to improve students' digital information literacy in the college.

[Purpose/Significance] Exploring the strategic game situation of data sovereignty between China and the U.S. can help to eliminate the practical risks and theoretical worries of China’s data sovereignty guarantee. [Method/Process] With a clear understanding of the data sovereignty strategy, this paper established a theoretical game framework of that. Drawing from the existing documents in China and the United States, it analyzed the endogenous causes within the strategic planning layers of both countries, and the key elements of the game constituted by the strategic choices of both parties at strategic implementation driven by these causes. Then, it proposed strategies for optimizing China’s data sovereignty game and seeking a path towards effective game equilibrium. [Result/Conclusion] There is a broad space for converging interests between China and the United States, and long-term non-cooperative games will reduce the benefits of the two. In this regard, on the base of data sovereignty principle, it is important for China to actively seek strategic interests in the two countries to carry out practical cooperation, develop healthy competition, and avoid continuous escalation of strategic confrontation, and respond to the Sino-US strategic game of data sovereignty with four main paths: international cooperation, domestic coordination, technological breakthroughs, and strategic composure.

[Purpose/Significance] In the process of high-quality development of higher education, the concept of the future learning center has emerged, and the exploration of its construction based on university libraries has both theoretical and practical significance.[Method/Process] Based on the practical background, a review of relevant theoretical research and practical exploration was conducted by induction, deductive reasoning, and logical analysis to clarify the positioning, elements, and related systems of future learning centers.[Result/Conclusion] The future learning center is a new grass-roots learning organization built by university libraries. It should integrate the three key elements of subject, resources, and technology to create a triplex knowledge service system of “people + space + information resources,” an integrated innovation system of “resources + service + management,” and an organizational guarantee and resource integration mechanism of “literature + teaching platform +IT.” During the construction process, it should adhere to the principles of “user-centric”, service transformation, and interconnectivity of multiple elements.

[Purpose/Significance] The interdisciplinary application of frontier technology is an important way of scientific and technology innovation. Identifying potential interdisciplinary “technology-topic” innovation combinations in academic literature helps to find the innovation opportunities that drive the development of target disciplinary field, and to seize the commanding heights of scientific and technological innovation.[Method/Process] Based on the idea of combination innovation and the big data of academic papers, it designed the identification framework of interdisciplinary “technology-topic” innovation combinations. First, it formed the fit index of interdisciplinary “technology-topic” combination based on the topic model and word vector model, which evaluated the rationality of combining target discipline field with the frontier technology by referring to the application of frontier technology in other disciplinary fields. Then, through the co-occurrence analysis of frontier technology and target discipline field topic, it constructed the novelty index of interdisciplinary “technology-topic” combination to remove the “technology-topic” combination with insufficient novelty, so as to obtain the fit and novel interdisciplinary “technology-topic” innovation combinations.[Result/Conclusion] This paper explores the innovative applications of artificial intelligence technology in the academic research of library and information science (LIS), and identifies 14 fit and novel interdisciplinary “artificial intelligence technology - LIS topic” innovation combinations. The results show that the framework of this paper is effective in identifying interdisciplinary “technology-topic” innovation combinations, and can provide forward-looking guidance for scientific and technology innovation in various discipline fields.

[Purpose/Significance] As the key basis for the cataloguing in publication program, the national standard Cataloguing in Publication Data (GB/T 12451-2023) has been officially released after comprehensive and in-depth revision. The analysis of the revision content, changes and features of the new CIP standard can help relevant fields to understand the content and rules of the new CIP standard more comprehensively, and promote the implementation and development of the standard. [Method/Process] This paper reviewed the development of CIP program at home and abroad, summarized the revision process and main content of the new CIP standard, analyzed its important changes from four aspects, and explored its features. [Result/Conclusion] The major changes of the new CIP standard are reflected in four aspects: the supplement and revision of terms, the refinement of descriptive data content and indexing rules, the modification of access data content and indexing rules, and the simplification and adjustment of printing content and format. The revision of CIP standard is of great significance to meet the development needs of bibliographic data in the new era, further standardize and improve the quality of CIP data, promote the cross-industry co-construction and sharing of bibliographic data, and promote the digital development of CIP data in the future.

[Purpose/Significance] The construction of a national strategic intelligence system is a basic guarantee to support national strategic decision-making in the new era. [Method/Process] By examining the international strategic intelligence development, especially the characteristics and experiences of European and American countries in the intelligence collection, processing and organization, it sorted out the regular features of perfecting the modern national strategic intelligence system of Chinese style. [Result/Conclusion] The international trend of the national strategic intelligence system is characterized by centralized management and networked organizational structure driven by tasks, multimodal fusion and integration of open-source intelligence driven by data, market-driven public-private cooperation and industrialization of intelligence services, technology-driven human-computer collaborative analysis and intelligent decision-making, and value-led intelligence sharing and security alliance. China should establish a more strategic, forward-looking and coordinated national strategic intelligence system, including the formulation of a national strategic intelligence fusion and integration development strategy, the exploration of a government-led and socially participatory intelligence production model, the layout of open-source intelligence-oriented cutting-edge technologies and data infrastructure, the construction of a peaceful and developmental global partnership and platform for intelligence sharing, and the promotion of a strategic intelligence culture, education and talent cultivation project.

[Purpose/Significance] The wide application of generative AI will enable users’ switch of information seeking. This may lead to users’ defection from search engines. Thus, it is necessary to examine the formation mechanism of user’s switching intention. [Method/Process] This study adopted the push-pull-mooring (PPM) to develop the model and conducted data analysis with structural equation model (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). [Result/Conclusion] Low information-task fit and information overload lead to user dissatisfaction, whereas AIGC information quality and perceived interactivity affect perceived value. Dissatisfaction, perceived value and social influence determine users’ switching intention. With fsQCA, it identifies three configurations leading to switching intention. The results imply that search service providers need to improve the information-task fit and reduce information overload and user dissatisfaction to retain users. On the other hand, generative AI platforms can improve AIGC information quality and interactivity, and leverage social influence to facilitate user usage.

[Purpose/Significance] To analyze the attitudes, measures and policies on the use of AI tools, represented by ChatGPT, in the academic publishing can provide reference for the construction of academic publishing policy system in the context of AI4Science. [Method/Process] The policies/statements on the use of AI tools, issued by various academic publishing stakeholders, were systematically scanned and analyzed with the internet/ literature research and content analysis. [Result/Conclusion] For the use of AI tools, different academic publishers have different response speeds. They are relatively consistent in their concerns and key policy factors, and greatly different in the key terms and specific operational aspects of the policy/statement. From a stakeholder perspective, different academic publishing stakeholders have different patterns of issuing policy/statement on the use of AI tools, but their response need continuous exploration and debugging in the future. Academic publishing stakeholders should strengthen communication and coordination, actively formulate a policy framework to deal with the use of AI tools. The academic community should be fully linked to build a policy system on it.

[Purpose/Significance] Public data involves a large amount of content related to national security, trade secrets, and personal privacy. To prevent and resolve public data security risks on the basis of correct understanding and evaluation tests the wisdom of national and government public data security management, and has become the key to improving the modernization of national governance system and ensuring the national security. [Method/Process] According to the theory of security resilience, this paper proposed a public data security resilience governance system including four modules, that is, early warning system, response system, recovery system and growth system. With the system dynamics method, it conducted simulation experiments through Vensim PLE to explore the dynamic relationship between key factors and combined factors. [Result/Conclusion] The simulation results indicate that the collaboration system and technology iteration variables of public data security in the post-growth system have a significant impact on its guarantee system. The collaborative development of early warning systems, response systems, and recovery systems has a significant impact on the sustainable development of the public data security guarantee system construction. Based on this, this study proposes feasible suggestions for building a resilient governance system for public data security.

[Purpose/Significance] Digital collections are a native concept of NFT's localization in China, and also an important entry for the metaverse. It is of great academic value and practical significance to study it. [Method/Process] On the basis of a brief review of NFT and digital collections, this article compared and analyzed the differences between NFT and digital collectibles, explored the concept, the types, the operation and technical logic of digital collectibles. Finally, it summarized four research models of Chinese digital collections, and expounded the future research trends. [Result/Conclusion] The research believes that blockchain is the technical foundation of NFT and digital collections, and the metaverse is the application environment. NFT provides the property certificate for digital collections, which are the important achievements and the most typical applications of NFT in China. Research on digital collections with Chinese characteristics mainly include four models:culture empowerment, spirit communication, emotion maintenance, and digital empowerment.

[Purpose/Significance] Analyzing the key needs in knowledge service of science and technology think tanks is conducive to optimizing the allocation of resources by external institutions, providing more efficient and accurate services, and constructing and improving the knowledge service guarantee system of science and technology think tanks scientifically and objectively.[Method/Process] Through semi-structured interview and grounded theory, the paper explored the content, types and characteristics of the needs of science and technology think tanks, and obtained 100 initial concepts, 23 categories and 7 main categories. Based on it, the paper gradually refined the MCRT theoretical analysis framework for the needs of science and technology think tanks, and further analyzed the formation and management mechanism, the correlation mechanism between each main category and its effect on the service process, with the case explanation.[Result/Conclusion] User needs and self-development can trigger the need of science and technology think tanks according to the four-stage needs management mechanism of “stimulation-generation-evaluation-matching”. The needs includes four dimensions: material resources, intelligent collaboration, user needs and self-characteristics. Each dimension is closely related and work together in the process of knowledge service. The transmission, sharing and orderly circulation of material resources can activate intelligent collaboration and optimize self-characteristics. Intelligent collaboration can analyze and judge material resources and their products, and can also intervene in the production of needs. User needs can make the construction of material resources more targeted, and can also drive think tanks to improve self-characteristics. The self-characteristics can orderly manage user needs, and also explore the efficient integration and application mechanism of material resources, and finally improve the overall efficiency of service products.

[Purpose/Significance] AIGC is a new content generation mode after PGC and UGC. This paper studies the influence of AIGC on information generation mode and user information behavior, so as to provide reference for the transformation of information and knowledge resource management under AIGC mode. [Method/Process] By comparing the differences between UGC and AIGC, this paper analyzed the changes brought by AIGC to information generation content and the changes of user information behavior. [Result/Conclusion] AIGC can change the content of information generation into local participation, collaborative participation and full participation. Information generation presents the characteristics of multi-subject, pattern automation and high efficiency. In AIGC mode, information users are composed of human users and generative AI. Under the influence of AIGC, the behavior of user information retrieval, selection, utilization and communication presents new characteristics. Information services evolves into knowledge services.

[Purpose/Significance] It is helpful to clarify the path and blueprint for the high-quality development of public cultural services by exploring the relevance, dilemma and implementation of public library service system innovation under the background of digital intelligence.[Method/Process] With network research, literature research and case analysis, this article explored the practical significance of the innovation of public library service system in digital intelligence, analyzed and summarized the current development status, revealed the current difficulties, and proposed specific realization paths.[Result/Conclusion] There are advantages and risks in the public library service system construction in digital intelligence. It is necessary to seek empowerment entry points and methods from five paths:users, librarians, resources, space, and technology, and promote innovation in the public library service system.

[Purpose/Significance] Combined with the practice of smart library in the past ten years, this paper investigates the relevant literature, analyzes the practice progress, dilemma, and explores the outlet of smart library in China. [Method/Process] A comprehensive retrieval tool was used to search and select the data on smart library practice from 2013 to 2022. Through the extraction and integration of the data content, this paper reviewed the practical progress of Chinese smart library in the past ten years from six dimensions, including smart service, smart management, smart space, smart librarian, new generation service platform, and supporting system, and analyzed the difficulties. [Result/Conclusion] The research shows that the development of smart library in China has made some practical progress, and its practice content involves a wide range of dimensions, diverse subject types, wide regional radiation and types of application technology. However, due to many problems in practice, the current construction of smart library is not systematic, not in-depth, unbalanced, and relatively stagnant. Subsequent practical construction and theoretical research need to carry out targeted work and focus on the existing problems and dilemmas.

[Purpose/Significance] Patent mining is a significant means to achieve technical intelligence from patent documents. Driven by recent advancement of AI technologies, not only have patent mining methods achieved competitive performance in terms of automation, intelligence, mining depth and accuracy, but also they have revealed a new paradigm of integrating datasets and algorithms together, which indicates a comprehensive survey of related research achievements and future development trends is urgent.[Method/Process] This paper linked the main steps of literature review into a closed loop “searching→screening→sorting→checking→expanding and re-searching” and kept updating and iterating. Review scope covered the related papers, patents, datasets, algorithm competition, patent information service platforms, and even code hosting and model hosting Websites. In a meanwhile, relevant information from expert interviews, competition player seminar and academic achievement reviews was also included in the narrative content.[Result/Conclusion] It finds that the types and quantity of patent resources are growing more rapidly than before, which paved the way for training and evaluating algorithms and models in an uniform standard. Forefront patent mining methods are closely following the pace of intelligent technology development to achieve technological upgrades and performance enhancements, while traditional methods such as statistical learning, manual rules, and software tools have been optimized and developed in the balance of learning costs, practical costs and method performances. The research scope of patent mining has achieved full coverage from data processing, normalization to basic patent service supporting and technological intelligence analysis, and the exploration of legal judgement prediction for patent lawsuit have been launched.

[Purpose/Significance] This paper summarizes and discusses the key issues that need to be solved in the library study tour services so that high-quality of library study tour services can be developed in public library. In this way, the library’s social education function can be revitalized.[Method/Process] Based on social network analysis methods, and case study methods, this study systematically summarized the status quo of library study tour in China, focusing on the types of users that engaging in library study tour, the situations of the sites, and the cooperative institutions of library study tour, etc. We make a scientific analysis on the key issues that need to be solved to promote library study tour.[Result/Conclusion] To carry out study tour services in public libraries, it is necessary to promote the construction of standards and norms for study tour in library, improve the curriculum system, clarify the role and service awareness of public libraries in study tour, cultivate professional study tutors, pay attention to its performance, and help improving the quality and efficiency of study tour in public libraries.

[Purpose/Significance] Scientific data is an important resource for national development, and its security has received more and more attention. In order to better manage scientific data and guarantee its security, this paper starts from the actual needs, sorts out the existing scientific data security problems, constructs its cause model, and summarizes the cause mechanism.[Method/Process] On the basis of the existing theory, this paper took in-depth interviews with 22 researchers from different scientific disciplines, and stakeholders in scientific data management. With the text analysis, this paper conducted the three-level coding of the interview data, analyzed the current situation of scientific data security, and formed its cause model.[Result/Conclusion] It finds that the causes that affect the security of scientific data include seven model dimensions, including consciousness, demand, management, system, social environment and facility environment. The whole life cycle of scientific data is likely to encounter security threats.

[Purpose/Significance] The development of libraries in the digital era must keep pace with advancements in new technologies. Understanding how to integrate generative artificial intelligence technology represents a crucial direction for the future.[Method/Process] This paper examined the use of ChatGPT and similar generative artificial intelligence technologies in libraries in the United States. It analyzed their characteristic performances, deconstructed their underlying mechanisms, and proposed a development path for future generative AI-driven libraries, termed "LibGPT."[Result/Conclusion] The study reveals that generative AI-driven libraries are distinguished by their interactive and intelligent service scenarios, the quantification and integration of library resources, and the automation and expansion of library management. The core of this approach lies in the essence of intelligent technology, comprehensive role positioning, and a chained working mechanism. Based on these findings, it proposes that the future generative AI-driven "LibGPT" should be developed across three dimensions:the primary development body, the content, and the boundaries.