There are a large number of databases related to ancient books on Traditional Chinese Medicine （TCM）,but digital research in this area is still dominated by shallow knowledge services that involve document scanning and collation,browsing and retrieval. The development of generative AI provides new opportunities for the digital research on ancient TCM books. Based on the Ziya-LaMA-13B-V1 open-source model,this article designs a generative dialogue large language model for ancient TCM works through the whole process of continuous pre-training,supervised fine-tuning,and DPO optimization,and verifies its excellent performance through automatic and manual evaluation. The automatic evaluation results show that the loss function for training converges successfully,and the values of BLEU and ROUGE indicators are relatively low under each dialogue category,which indirectly reflects the strong domain creativity of the model. The manual evaluation results show that the model significantly outperforms the existing two types of models in the TCM vertical in terms of knowledge Q&A,better than Tongyi Qianwen,and in some categories such as disease prevention,health care,its response ability is slightly weaker than ChatGPT（gpt-4）. By breaking the habitual digital research pattern of ancient TCM books,this study achieves an in-depth integration and utilization of ancient book resources,and fulfills the diversified knowledge services such as ancient book knowledge Q&A,TCM consultation,and health care support.

By clarifying the concept of "cultural heritage digitalization",this article reviews the domestic and foreign literature on related topics in 2023,and extracts four hot topics in the field：digital storage and processing of cultural heritage,digital inheritance and protection of cultural heritage,digital presentation and dissemination of cultural heritage,and digital services and development of cultural heritage. The research on cultural heritage digitalization is characterized by diverse methodologies that promote the interdisciplinary integration,complex study subjects that require comprehensive application of a variety of technical means,and concentrated research themes that continuously expand the depth and breadth of the research. There are some shortcomings in research,such as the lack of holistic and systematic research results,insufficient attention to cultural content and value,and the lack of in-depth analysis of user characteristics and primary needs. Prospective studies can focus on the coordinated promotion of cultural heritage preservation and development,the full integration of culture and technology,and the establishment of a diversified service supply system,thus providing references for further research.

In the era of digital economy,data is a vital strategic resource for nations,and cross-border data flows serve a critical function. As digital and transnational criminal activities become more prevalent,cross-border law enforcement has become an important tool in the fight against cybercrime. However,exporting data for law enforcement purposes has significant implications for the country where the data is stored. Under the guise of "data freedom",the United States has introduced a data governance model centered on the "data controller standard" through the CLOUD Act,and extended its "long-arm jurisdiction" to Internet service providers,which has significantly increased the risk of national data security risks caused by passively exporting and retrieving data in China. China should establish a legal framework based on the principle of data sovereignty to regulate cross-border data flows,and explore institutional tools to manage data security risks,including adjusting the "data controller" model based on national sovereignty,improving security rules and review mechanisms for cross-border data access,and restricting unilateral cross-border data enforcement with blocking laws,so as to effectively monitor and counterbalance the "long-arm jurisdiction" of the United States.

As a key five-year period to achieve the long-term goal of 2035,the 15th Five-Year Plan has a far-reaching impact on the high-quality development of public libraries in China. This paper reviews the development of China’s social economy,public cultural service system and public libraries during the 14th Five-Year Plan period,applies the PEST analysis framework to comprehensively examine the domestic and foreign macro environment during the 15th Five-Year Plan period,and further analyzes the development trend of the library industry. On this basis,the paper puts forward the drafting principles and blueprint of the 15th Five-Year Plan for public libraries,and details the implementation path. These suggestions are intended to serve as a reference for the scientific preparation of the 15th Five-Year Plan for public libraries in China,so that public libraries can better adapt to social needs,improve service efficiency and promote cultural prosperity in the new era.

In order to fully understand the research progress in the field of Library and Information Science （LIS） in China in 2023,and to reveal the research patterns and hotspots,this article applies Python to perform word cloud visualization analysis and topic extraction of the papers published in CSSCI source journals in the field of LIS in 2023. Using CiteSpace,a bibliometric tool,a co-occurrence knowledge graph of high-frequency keywords is introduced to explore the research topics in a mutually verifiable way. Using a deep learning based Sentence-BERT+UMAP+K-means+C-TF-IDF model,topics are identified and clustered,resulting in 39 research topics. The topics are manually refined into labels and categorized into four primary themes and fifteen secondary themes：public culture （librarianship,public digital culture）,intelligence system （national security intelligence,competitive intelligence,emergency intelligence,academic intelligence,intelligence analysis technology）,data governance （data flow regulation,data use security,research data governance,government data openness）,and information behavior （information needs,information seeking behavior,information adoption behavior,information dissemination behavior）. Through interpretative content analysis,the study systematically reviews the relevant literature on each research topic,thus providing an overview and summary of the current status and characteristics of LIS research in China,as well as highlighting the research gaps and future prospects.

By means of grounded theory,this paper conducts a semi-structured interview with 20 older people,develops a theoretical model of the factors influencing the digital literacy of the elderly by using Nvivo 11 three-level coding technology,and analyzes the internal correlations and functional pathways of the main categories of senior citizens’ digital literacy. The study suggests that the digital literacy of the elderly population,which is influenced by factors such as subjective awareness,usage experience,social interaction,statistical characteristics,digital support and digital ecology,can be improved both internally and externally through a combination of digital knowledge and skills and digital attitudes.

Traditional peer review has been criticized for its lack of transparency and oversight,and open peer review provides an opportunity to open the black box of peer review,enhance supervision,and standardize the review behavior. Based on 2,534 manuscripts submitted to ICLR conferences from 2017 to 2019 and 7,602 related reviews from the OpenReview platform,this article conducts a quantitative and qualitative analysis of the behavioral characteristics of reviewers,focusing on expert confidence,review patterns,and review outcomes. The study shows that highly confident reviewers have a better understanding of the manuscripts and tend to provide more differentiated scores and specific comments;double-blind reviewers are more stringent in their scoring than their single-blind counterparts and less likely to mention language quality. In addition,comments on the core content play a crucial role in the final decision on manuscripts,those that receive more positive comments on experimental design and originality are more likely to receive better results. The article proposes some recommendations regarding the selection of reviewers,the types of peer review and the setting of review indexes,in order to improve the quality of peer review and promote peer review reform.

The new changes in the 15th Five-Year period will have a profound impact on China’s public cultural services. In order to achieve high-quality development in the changing internal and external environment,it is necessary to fully understand the environment and development trends,and think about the strategic planning of public cultural services with Chinese characteristics through the thinking of scientific strategic planning. Based on an overview of strategic planning thinking,this paper focuses on analyzing the goals and tasks,priorities and difficulties,and transformation and upgrading of public cultural services from the perspective of national policies,reform and innovation,and digital intelligence technology,in an attempt to provide theoretical and practical guidance for the formulation of the 15th Five-Year strategic plan for promoting the development of public cultural services.

The Third Plenary Session of the 20th Central Committee of the Communist Party of China has set a new milestone for comprehensively promoting the building of a strong country and the rejuvenation of the nation with Chinese modernization. Public cultural services in the transition period from the 14th Five-Year Plan to the 15th Five-Year Plan should meet the structural,functional and quality challenges posed by the new era,new mission and high-quality development in the process of China’s modernization. After nearly two decades of exploration and development,public cultural services have accumulated the advantages of cultural hardware,software,ecology and carrier in response to Chinese modernization in terms of breadth,thickness,height and novelty. Guided by the spirit of the Third Plenary Session of the 20th CPC Central Committee,the development of public cultural services in the 15th Five-Year Plan period should be fully integrated into and promote Chinese modernization. The main approaches include taking Xi Jinping Thought on Culture as the source,being driven by new quality productive forces,and moving forward in coordination with precision,cooperation,integration and excellence,so as to write a new chapter for Chinese modernization of public cultural services.

As a key task in natural language processing,automatic text summarization aims at compressing long text information and solving the problem of text information overload. Taking the biography corpus in the Twenty-four Histories as an example,this article explores the feasible ways of automatic abstraction for ancient texts driven by AIGC technology from the extractive and generative approaches,provides reference for the creative transformation and innovative development of ancient classics resources,and helps to realize the value of ancient classics under the concept of digital humanities. Firstly,semantic representations are created based on GujiBERT,SikuBERT and BERT-ancient-Chinese models,and the importance is ranked by LexRank algorithm. Secondly,abstracts are generated using GPT-3.5-turbo,GPT-4 and ChatGLM3 models,and fine-tuned ChatGLM3 and GPT-3.5-turbo models are developed. Finally,the extracted abstracts are evaluated using information coverage rate and information diversity metrics,while the generated abstracts are evaluated using rouge and mauve metrics. The study shows that SikuBERT has a stronger ability in semantic representation and comprehension of ancient texts in the extractive summarization task,and common large language models each have their own distinctive abilities in automatic summarization in the field of ancient classics,but lack the ability to summarize the main ideas. The summarization capability of the GPT-3.5-turbo and ChatGLM3 models can be effectively improved by fine-tuning with small sample datasets.

During the 14th Five-Year Plan period,China's public libraries have made great progress. In the 15th Five-Year Plan period,it is proposed to take the high-quality development as a guideline to further develop public library systems in various fields,and improve the effectiveness of library services. Public libraries in China should give priority to strategic positioning,general-branch system that carries out integrated management of personnel,funds and property,service system to promote national reading campaign,new reading-space system,collaborative development system of literature resources,smart library system,new talent training system,and culture dissemination system,so as to ensure their quality resources to reach the primary level.

Following the philosophical ultimate three questions of who am I,where am I from and where am I going,this paper comprehensively explains the importance of library history for library directors. It believes that library history is an important way to cultivate the cultural consciousness of library directors,and is an important foundation for adhering to the core values of libraries and promoting libraries to fulfill their cultural inheritance mission;the social value of a library is irreplaceable,and all the past of a library is the prelude to fully realizing its social value;science and technology are the driving force behind the development of libraries,not the terminator;the library is a growing organism that is inseparable from the values of freedom and equality in society.

Using the systematic review method,this article systematically studies the domestic and international research literature on artificial intelligence （AI） literacy,focusing on its concept,framework and application,and education. The study shows that AI literacy is a hotspot for academic research at home and abroad,but there is no consensus on the concept of AI literacy;there are more AI literacy frameworks and literacy education research results applicable to K12 and college students;AI literacy research is at an early stage,the application tools of AI literacy have not yet matured,and the domestic AI literacy education programs and methods need to be further explored. It is recommended to continuously promote the research on the basic theories of AI literacy,deepen the framework of AI literacy,enrich the research on the application of the framework of AI literacy,and strengthen the research on localized AI literacy education with multi-subject participation and interdisciplinary collaboration.

The arrival of ChatGPT has had a certain impact on the development of libraries. A study of the changes in librarians’ and library users’ perceptions of the use of ChatGPT in libraries can serve as a reference for the application of ChatGPT-type technologies in Chinese libraries. Using the grounded theory method,this article analyzes the changes in the librarians’ and library users’ perceptions of the adoption of ChatGPT in the library sector by examining the transcripts of an interview survey. The study shows that ChatGPT has a dual effect. On the one hand,the "technologies empower" library development,but on the other hand,there are "technical traps" such as threats and challenges. Technological impact,development opportunities,major challenges,technological choices,and summary planning together form a cognitive change model of librarians and library users regarding the use of ChatGPT in libraries. The changes are illustrated by the stakeholders’ attitudes towards the use of technology,which evolved from technology-induced change to widespread use of technology,to a clear understanding of the role of technology,and finally to active mastery of technology. On this basis,a strategy for the future development of libraries is proposed from the perspectives of technological upgrading and library adaptation.

Establishing an independent knowledge base is the key to accelerating the development of philosophy and social sciences with Chinese characteristics,and the discipline of information resource management （IRM） urgently needs to find a way to establish its own independent knowledge system. This paper analyzes the foundations and constraints of the independent IRM knowledge system,focusing on its development status,the times and its missions. It proposes a three-step strategy of grasping the key features,adhering to the founding principles and clarifying the development path,trying to answer the four key questions of "why it is necessary" "what is the basis" "what are the challenges" and "how to go forward",so as to accelerate the establishment of the independent knowledge system for IRM discipline.

Since the dawn of the digital intelligence era,with the renaming of the first-level disciplines of Information Resource Management（IRM）,Business Administration Science,and Public Administration Science,the more forward-looking disciplinary concept of Information Resource Management Science （IRMS） has once again attracted the attention of scholars in China. By analyzing the background of IRMS,this article explores the development of IRMS,focusing on its emergence and rise,conceptual connotation,disciplinary relationship,research content,and development trend,so as to help the discipline of Library,Information and Archives Management to shift from IRM to IRMS.

Implementing fine-grained mining and creating semantic association of multimodal digital resources is of great significance for the systematic protection,inheritance and development of intangible cultural heritage （ICH） in the era of digital intelligence. Focusing on the needs of digital protection and inheritance of ICH resources,this paper introduces an ontology to develop a semantic description model for multimodal ICH digital resources of tea. By collecting and processing the multimodal resources related to traditional tea-making techniques and associated social practices in China,the paper reorganizes the knowledge of relevant text,image,and video resources. Based on the knowledge graph,the study explores the implementation path for knowledge services of multimodal ICH digital resources related to tea in a multi-dimensional way. Through empirical research to validate the applicability and feasibility of the proposed semantic association scheme for multimodal ICH digital resources,it sheds light on the multidimensional organization and integrated application in the field of intangible cultural heritage across scenarios,time and space,and resources,as well as a reference for the digitization strategies of systematic protection of intangible cultural heritage.

Generative artificial intelligence（AI）is leading large-scale AI models towards practical applications,which has a profound impact on education and other fields. From the perspective of the general public,this paper analyzes the bullet comment texts of the topic "Generative AI/ChatGPT education application" on the Bilibili platform from January 2023 to March 2024,using text analysis methods such as thematic and sentiment analysis of online public opinions. It aims to thoroughly anatomize the public’s emotions,attitudes,concerns,and opinions about the application of ChatGPT-like generative AI in education,and to examine its effectiveness and potential associated risks,thus providing new ideas and perspectives for its development. This study suggests that the general public has a positive sentiment toward generative AI educational applications and the overall sentiment ratio is stable;the main concerns are students’ learning,teachers’ teaching,educational fairness,educational application,attitudes and viewpoints with a multipolar tendency;public opinions are diversified,focusing on accuracy,universality,ethics and alienation.

There are more and more digital ancient architecture projects,but they lack multi-level representation of humanistic knowledge and knowledge correlation. With the increasing application of HBIM in the field of ancient architecture,it is urgent to develop and utilize HBIM files. This article explores the integration of HBIM with humanistic knowledge. With a summary of the characteristics of information in HBIM and humanistic knowledge of ancient architecture,it summarizes the humanistic knowledge of ancient architecture in the YingZao FaYuan and the Database of Jiangsu Immovable Cultural Relics,thereby establishing an ontology framework. Using the Five Peaks Garden’s HBIM and its humanistic knowledge as instances,the ontology framework is introduced and reasoning is performed. Finally,the ontology instances are stored in the Neo4j database and related applications are demonstrated using the Revit API. The study shows that ancient architecture HBIM can be associated with humanistic knowledge of ancient buildings at multiple levels through ontologies,which has some significance in semantic retrieval of humanistic knowledge of ancient architecture and retrieval of architectural component sets.

Emergency intelligence assumes an important role of data and intelligence in reshaping the modern emergency management system,and identifying and analyzing the research hotspots and trends of emergency intelligence （EI） can provide decision support for improving the EI system and promoting the transformation of emergency management approaches. Through a quantitative analysis of domestic and international EI research in terms of literature distribution,research collaboration,terminology,and citation relationships,this paper extracts the hotspots of EI studies using keyword co-occurrence and cluster analysis,and summarizes the evolutionary trends based on a visualized network of EI studies. The results show that the current research on emergency intelligence is characterized by its orientation to the major needs of our country,the urgent need for key research forces,the diversified development trend around the transformation of digital intelligence,and the tendency to focus on the mass line with public participation. The future research will mainly go in the directions of building emergency intelligence discipline,deepening emergency intelligence systems,innovating emergency intelligence digital intelligence technology,and exploring emergency management intelligence practice.

The Third Plenary Session of the 20th Central Committee of the Communist Party of China has made systematic plans and arrangements for the new journey of Chinese-style modernization,taking“in-depth reform of cultural systems and mechanisms”as the key element for further deepening reform comprehensively,and clearly defining the reform task of“optimizing the supply system of cultural services and cultural products”. In view of the current and future reform and development tasks of China’s modern public cultural service system,it is imperative to continuously consolidate the support of public cultural services for a powerful cultural country,upgrade the productivity of public cultural services in accordance with the current situation,enhance the coordination power of public cultural services through integrated urban-rural development,and cultivate talents to forge the sustainable development capability of public cultural services. Through coordination in the four dimensions,the mechanism of public cultural services can be further optimized and the high-quality development of public cultural services can be promoted to a new level.

The metaverse space services empowered by ChatGPT will promote the transformation of library smart spaces,and provide ideas and directions for the development of metaverse space services in university libraries. With an overview of the metaverse space in university libraries,this paper explores the mechanism of how ChatGPT enables the metaverse space service of university libraries based on the characteristics of ChatGPT and the patron-centered service concept of libraries. By examining the service scenarios of university libraries in the metaverse,it analyzes the operation mode of their ChatGPT-enabled space services,focusing on infrastructure development,data transfer,application analysis,and scenario collaboration. This study suggests that university libraries should innovate and enhance their spatial services in terms of technologies,resources,and concepts so as to improve the service effectiveness and promote the spatial synergy.

The national demonstration zones of the public cultural service system play an exemplary and leading role in promoting cultural innovation and development. In order to summarize the new strategy for the innovative development of public cultural services,this paper uses the content analysis method to analyze 21 innovation development policy texts of the demonstration zones in terms of policy forms,basic principles,main tasks,supporting measures and appendices. The study found that the innovative development of public cultural services considers "correct orientation" and "reform and innovation" as the main basic principles;sees organizational leadership and financial support as the key guarantees;and emphasizes detailed responsibilities and indicators in supporting plans. It focuses on the following key tasks：strengthening supply to improve the quality of public cultural services;promoting openness and integration to realize the joint development and sharing of services;maintaining innovation,governance and scientific evaluation;improving public cultural facilities and optimizing their layout;using digital technologies to achieve the intelligent transformation;participating in social activities to enhance the vitality of services;protecting rights and interests and making public cultural services more balanced and beneficial for all.

This article attempts to examine the knowledge production function of libraries,focusing on the connotation and requirements of developing new quality productive forces during the 15th Five-Year Plan period. Driven externally by the demand for developing knowledge productivity from the macro-environment and internally by the function of library knowledge production,it provides a systematic review of the evolution of the knowledge production function of libraries against the backdrop of changes in the methods of knowledge production. Emphasizing its functional expansion in cultivating new quality productive forces,the study proposes countermeasures for building new knowledge productivity in libraries during the 15th Five-Year Plan period.

With a literature review of users’ bullet comments based on social cognitive theory,this paper identifies 15 influencing factors in 4 aspects using the expert consultation method. It analyzes the correlation path and hierarchical relationship among the influencing factors of users’ bullet commenting behavior by means of ISM and MICMAC. This study suggests that factors such as expressive need,information demand,and video popularity have a greater influence on users’ participation in bullet comments;factors such as content value and website trust serve as the connecting link between the previous and the next;and factors such as perceived identity,perceived interaction have a low driving force and high dependency,which are easily influenced by other factors. It is recommended that users’ bullet commenting behavior should be guided by enhancing users information literacy,improving the quality of video content,and optimizing users’ participation experience.

After being renamed to Information Resource Management（IRM）,the discipline is faced with the urgent task of reconstructing its knowledge system. This paper outlines the bottom-up evolution process of the knowledge system of the discipline of Library,Information and Archives Management,analyzes the gap between the traditional secondary disciplines and the crux of the matter,and puts forward a top-down idea for building the knowledge system. Based on the viewpoint of "information = data + meaning",it proposes the data-based logic and preliminary strategy for integrating the IRM knowledge system. The knowledge system of IRM discipline should be based on data,respond to the national data development strategy and the needs of the times,and provide a broader platform for the integration and development of numerous secondary disciplines. It also calls for the unified expression in all kinds of policy documents related to IRM discipline,so as to facilitate the society-wide awareness and acceptance of the discipline.

As a new format of cultural tourism that integrates cultural elements with tourism experience by designing physical scenes or applying technologies such as virtual reality,immersive cultural tourism space aims to provide users with immersive experiences. However,little research has been done on its concept,modes,and immersive elements,which poses challenges to the promotion of immersive cultural tourism experiences and the overall layout of immersive spaces. With a review of the key concepts of immersive experience and their relationships,this article proposes to classify the immersive cultural tourism spaces into three modes：virtual immersive,physical immersive,and digital-real fusion immersive,and analyze their types. Based on a case study of Grand Tang Mall in Xi'an and China Grand Canal Museum in Yangzhou,the article explores the key immersive elements of such spaces;and analyzes their development trends focusing on policy guidance,technology trend and practice innovation,so as to provide a reference for promoting the transformation of traditional physical cultural tourism business formats into immersive cultural tourism spaces.

The study of the Hai Yuan Ge Collection is an important area of Chinese library history. By reviewing the academic reports presented at the Symposium on the Collection of Hai Yuan Ge and the History of Books and Libraries in China,this article summarizes the new progress of Chinese library history research,focusing on the Hai Yuan Ge Collection,the study of the history of Chinese books and culture,the study of library history and the compilation of library history,and analyzes the prospects of library history research in China.

The language style and content of the surviving Chinese historical classics are characteristic of their time. Taking the translation from ancient Chinese to modern Chinese as the starting point,this article explores the temporal characteristics of ancient Chinese books and their influence on machine translation of Chinese historical classics,and proposes strategies for training translation models tailored to different historical periods,with the aim of improving the quality of translation of ancient texts. The article takes A Complete Translation of Twenty-Four Histories as the research corpus,which has been divided into three periods,namely the ancient,the medieval,and the near ancient. From the perspective of computational humanities,it conducts a comparative analysis of word frequency,lexicality,and dependency relationships in classical texts of different historical periods,using the statistical methods. Based on data augmentation,the corpora in each period are used to train different machine translation models respectively and to compare the translation effects. This study shows that there are differences in the temporal characteristics of ancient classics,which have a significant impact on the machine translation effect. Training machine translation models separately for classics from different periods can improve the accuracy and fluency of ancient text translation.

The application of AI technology places high demands on the AI literacy level of students and faculty in universities. Exploring the AI literacy framework for university users can provide a reference for measuring their AI literacy level,implementing AI literacy education,and developing AI guidelines for university libraries. Based on programmatic grounded theory,this article creates an AI guidelines framework （BDA framework） for university users by analyzing the text of generative AI guidelines in North American university libraries. The study suggests that：The AI literacy framework consists of six main categories,namely conceptual principles,policy guidance,system evaluation,ethical evaluation,tool skills,and task skills,which can be divided into three levels,such as AI knowledge,AI evaluation,and AI skills;There is a bottom-up driving path and a top-down empowerment path between the levels,thereby improving the overall AI literacy level among university users. The article proposes some countermeasures in terms of improving AI-related policy guidelines,accelerating the formulation and implementation of AI guidelines for university libraries,and promoting AI literacy education.

In the era of globalization,interconnection,and digitalization,the protection and development of intellectual property （IP） has become more challenging. Due to its technological advantages,blockchain technology has triggered industry changes and introduced new business models,forming a new development pattern in which “blockchain empowers everything”. From the perspective of technology empowerment,this article explores the logical fit between blockchain technology and intellectual property rights using the TOE framework,following the research line of “technology empowerment - mechanism deconstruction - path exploration” based on the theories of IP life cycle and IP ecosystem. It highlights the mechanism of blockchain technology empowering IP life cycle management,and explores the technology empowerment models and characteristics of the empowered IP ecosystem. Focusing on the risks when blockchain technology is deeply integrated with IP life cycle management,the study presents the risks under the PESTEL framework,thus expanding the theoretical boundaries of blockchain technology empowerment in terms of cognition,application,system,and safeguards.

AIGC technology is shifting university academic users from academic websites to AICG platforms,which poses challenges for academic websites. Therefore,it is crucial to analyze the influencing factors of university users’information seeking transfer behavior. The study develops a model of factors influencing university users’information seeking transfer behavior based on the PPM model and analyzes 417 valid data using used a mixed method of structural equation modeling（SEM）and fuzzy set qualitative comparative analysis（fsQCA）. The study shows that push factors（perceived inconvenience,perceived anxiety）and pull factors（accuracy,perceived price advantage） significantly and positively influence users’swifting intention,and the anchoring factor（habit）significantly and negatively influences users’swifting intention and has the effect of negatively moderating both push and pull factors. The fsQCA-based results also reveal two pathways that trigger users’information seeking transfer behavior,with "perceived inconvenience" and "perceived anxiety" being the key factors that trigger users’transfer behavior. In this regard,academic website managers should introduce new technologies to improve user experience,strengthen institutional cooperation to optimize quality and price,and pay attention to user habits to enhance user stickiness.

The manually compiled Index to Chunqiu Jingzhuan is of high quality,and applying the bibliographical data （word headings） to the organization of the characters in the classics will help to play its valuable role in the digital age. Using the data of the word headings in the digitised Index to Chunqiu Jingzhuan,this article attempts to disambiguate the names of persons in the three commentaries（Zuo Zhuan,Gong Yang Zhuan and Gu Liang Zhuan）on the Spring and Autumn Annals,and aggregates the relevant headings according to the descriptions,giving them unique identifiers to achieve standardized control of personal information. On this basis,it verifies the multiple headings of persons,and sets up a traceable,reusable,dynamically maintainable scheme for organizing informtion about the characters in Chinese classics. The authors have organized a total of 3,270 characters in the three classics,and proposed an information organization structure of "canon-heading-character" which will contribute to achieving the organization and mining of knowledge in Chinese classics.

Generative artificial intelligence （AI）,represented by Sora,is the cornerstone of general AI. The resulting opportunities for industrial upgrading and comprehensive technological regulation should be seized. This paper systematically examines the technological development and risks of generative AI,thoroughly explores the application scenarios and limitations of Sora,and elucidates the basic conditions for technological innovation. For the industrial impact of generative AI,based on the theory of industrial development and system theory,it advocates that algorithmic innovation should be promoted,the quality of data and computing power supply should be improved,and rich application scenarios should be tapped to promote the development of new quality productive forces. Meanwhile,in view of the composite risk of generative AI,the theory of technology governance is adjusted,and a dual co-governance model of legal regulation and technology governance is proposed to achieve the multiple goals of reducing the risk of copyright infringement,ensuring privacy security,and maintaining social stability and national security.

Cross-border cooperation of science popularization services in special libraries under the concept of broad science popularization is a system with the popularization multiple heterogeneous actors. This paper introduces the actor network theory to develop a network of actors for the cross-border collaborative services in special libraries to spread science. Using the methods of online survey and literature review,it conducts research on special libraries that carry out cross-border cooperation in science popularization serrices and identifies actors invdved in the cross-border cooperation of science popularization services in special libraries. By interviewing the librarians,partner staff,and users in five different special libraries,it identifies the core actors and mandatory access points,and analyzes the interests and obstacles of each actor. Through a study of the translation process of each actor,it presents the dynamic process of building an actor network for cross-border cooperation in science popularization services in special libraries,and analyzes the operating mechanism of the network. Finally,a cross-border cooperation pattern of science popularization services is formed,with the "leadership of the government,the support of parent institutions,special libraries as the mainstay,the synergy of social organizations,and the participation of users".

This paper explores the formation mechanism of the adoption of health misinformation by older adults in China,in an attempt to enrich the theory of the elderly’s health misinformation behavior,and provide a reference for health misinformation governance . Focusing on 16 urban seniors who have been exposed to online false health information,this study collects data through semi-structured interviews,analyzes the interview transcripts using grounded theory,and develops a corresponding theoretical model based on information manipulation theory,so as to explore the influencing factors and formation mechanism of the health misinformation adoption behavior of the elderly in urban communities. The study suggests that in the context of live streaming,platform information manipulation is the main influencing factor of false health information adoption by the elderly;information manipulation takes advantage of users’profit-seeking psychology and human bias,and uses immersive experience to reach the elderly,making them adopt false health information;the elderly respond to platform information manipulation through cultural self-confidence and self-efficacy,with a significant difference between the influence of self-efficacy at different levels on platform information manipulation.

Invalid patents serve as a valuable reference for small and medium-sized enterprises（SMEs） in technological research and development. Identifying and utilizing high quality invalid patents is crucial for bridging the gap in R&D resources and avoiding infringement risks. This article selects 13 indicators to evaluate the quality of invalid patents from three dimensions：technical value,economic value,and the scope of patentees’ innovation activities. It calculates the comprehensive scores of invalid patents by applying the entropy-weighted TOPSIS model,and adopts the interquartile range method to set the threshold for hierarchical evaluation,so as to evaluate the quality of invalid patents from the perspective of index calculation. It employs the pre-trained Sentence-BERT model based on deep learning to vectorize the patent abstracts,and identifies the outlier patents using the density-based outlier detection algorithm,so as to evaluate the quality of invalid patents from the perspective of content analysis. The proposed method is empirically verified by taking authorized invalid patents in the field of “Artificial Intelligence” as an example,and the results are validated in terms of indicators,methods,and policies,thus providing innovative solutions for SMEs to quickly select high-quality invalid patents and bridge their technology gaps.

By reviewing the situation of new quality productive forces and the high-quality development of public cultural services,this article explores the dynamic mechanism of new quality productive forces in promoting the "qualitative" transformation of the technology,service elements,and service model of public cultural services. Through an analysis of the contradiction between scientific and technological innovation and practical application,the alienation of subjects,the risk of digital ethics,and the risk of differentiation and homogenization of output content in the process of integrating new quality productive forces and public cultural services,the study suggests that the institutional elements,technological elements,human elements,and cultural elements should be strengthened by building a digital guarantee mechanism,upgrading service technologies,cultivating new types of workers,and strengthening cultural values.

By providing fast,effective and personalized answers,large language models technically support the intelligent development of library reference services,and are expected to bring new vitality to reference services. Through an analysis of the generation mechanism and application mode of large language models,this paper examines their suitability for empowering library reference services. On this basis,it reviews the theoretical logic of library reference services empowered by large language models,explores the application scenarios,and establishes a reference service framework according to the three processes of pre-,mid-,and post-service. It is recommended that libraries promote the development of reference services enabled by large language models,focusing on strengthening the deep embedding of various technologies,implementing the interactive service pattern of "guidance + feedback",enabling the synergetic cooperation between machines and librarians,and improving the mechanism of user data collection and analysis.