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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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".

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.

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.

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.

Using the case study method,this article analyzes the community functions of the city's study based on typical practices in Guangdong Province,which include the creation of reading spaces,the building of community culture,and the governance of community culture. In terms of creating reading spaces,the city's study has created spaces for reading books,cultural activities,smart experiences,and recreation and communication. In terms of building community culture,the city's study plays a role in tapping cultural resources with local characteristics,carrying forward fine traditional Chinese culture,and developing advanced socialist culture. In terms of community cultural governance,the city's study participates in community cultural governance through interdepartmental coordination,citizen participation,and industry empowerment. Summarizing the experiences and shortcomings of the city's study in implementing its community functions,the study proposes to optimize the community functions of the city's study during the 15th Five-Year Plan period.

Given the relatively late start of the study and application of classic grounded theory in China,the source of other types of grounded theory,there are several gaps in the understanding of the methodology in the literature. This article reviews the relevant literature,elaborates the core principles of classic grounded theory,and comes up with a new operational core process,to shed light on a comprehensive understanding of the methodology.

This paper proposes a quantitative method centered on peer review criteria for evaluating academic journals. It summarizes the consensus journal peer review criteria through thematic analysis,and quantifies the criteria through publishing quotient,D-index,novelty,and journal impact factor. Based on the TrustRank algorithm,this study develops a journal evaluation method that integrates peer review criteria and scientometric indicators. Using the FMS journals as the evaluation benchmark,the paper compares the method with two baseline indicators of JAF and JIF to verify its effectiveness based on the citation data of the CSSCI database from 1998 to 2018. The results show that the proposed method achieves a high accuracy of 82.61% in identifying T1 journals,and the top 10 identified journals are all of T1 rank,with an accuracy rate of 100%,which is a significant improvement in the identification performance compared with the two baseline indicators. Notably,the publishing quotient performs well in evaluating journals,while the D-index underperforms.

Under the strategy of intellectual property rights （IPR） power,the construction of technical and innovation support center （TISC） for libraries faces both opportunities and challenges. This paper analyzes the current status and problems of TISC construction,focusing on geographical distribution,library types,institutions,resource development and service categories,by examining the libraries that undertake or participate in TISC construction in China. It proposes some countermeasures for TISC development by improving the IPR service capacity of local libraries,building data resources and intelligent platforms,providing full-chain IPR services,and cultivating innovative teams.

Red books related to the Central Soviet Area（CSA）are an important part of the red literature （literature related to the heritage of the CPC） of its kind. Taking the CSA-related red books as an example,this paper comprehensively investigates the major museums and public libraries in Jiangxi Province using the methods of literature review,online survey,field survey,and literature statistical analysis,and finds out 256 such red books in the collections. The study shows that the publication of red books in the Central Soviet Area has gone through four stages：rise（1927-1929）-development（1930-1931）-prosperity（1932-1934）-decline（1935-1937）;the publishers are mainly government agencies;thematically,the topics of the books are mainly Party and government building,military,culture and education;and most of the books are kept in museums. The paper further explains the value of these books,as historical resources,literature resources,educational resources,cultural and tourist resources,in promoting the in-depth study of the history of the Party and the Soviet regions,collecting and organizing red books,carrying forward the revolutionary culture,and enhancing the development of red tourism.

Based on the theory of supply and demand matching,this paper analyzes the intrinsic mechanism of supply and demand matching in AI-enabled scenario-based public information services and develops a process framework following the logic of "identification-design-supply-management". It then proposes a series of implementation approaches,including embedding technologies in scenarios,integrating information resources,strengthening demand traction,and deepening human-machine collaboration,with the aim of optimizing the effect of AI empowerment in supply and demand matching of scenario-based public information services and facilitating the formation of a high-quality public information service system that is intelligent,responsive,and people-friendly.

With the development of meta-cosmic libraries,knowledge is constantly iterated,transformed and reconstructed,and multimodal knowledge is incorporated into knowledge services. In order to avoid the disadvantages of knowledge development such as knowledge redundancy,information incompleteness and information value loss,this paper reviews the current development of meta-cosmic libraries and multimodal knowledge circulation,and outlines the problems of data circulation in libraries. By summarizing the principles for developing the knowledge circulation paradigm in the metaverse,it creates a library multimodal knowledge circulation paradigm （AOS） from the perspective of the metaverse,focusing on knowledge association,knowledge organization and knowledge service,with the aim of improving the operation mechanism of knowledge service in the meta-cosmic environment,presenting the underlying knowledge circulation paradigm for each practical model in meta-cosmic libraries,and serving as a reference for digital technology to enable the work in the field of knowledge and information represented by libraries.

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.

In order to explore adolescents’ reading performance and its influencing factors as they shift to hybrid reading in an omnimedia environment,and to propose some scientific guidance strategies,this article uses mixed methods to examine adolescents’ reading through a questionnaire survey,and conducts in-depth analysis of the survey data from multiple perspectives. The study shows that adolescents’ reading has seen an incipient complex trend,with reading attitudes and family environmental support having significant and positive effects on reading behavior performance,and internal feedback and external results of reading behavior input in turn affecting reading attitudes,especially attitudes toward personal interest-driven leisure reading. Strategies for scientifically guiding adolescents to shift to hybrid reading include：implementing differentiated guidance strategies based on reading attitudes;increasing family environmental support;and providing a seamless online and offline service experience.

Digital inclusion is an effective approach to bridging the digital divide. As a global concern,measuring the extent of digital inclusion has become a key issue. By means of inductive content analysis,this study examines 66 research reports on Internet development released by the China Internet Network Information Center （CNNIC）,focusing on four digitally disadvantaged groups：non-Internet users,senior citizens,young people,and rural residents. From the perspective of “inclusion framework-inclusion levels-target group”,it summarizes the measurement of digital inclusion for disadvantaged groups in the reports. This paper validates the effectiveness of the three-dimensional analytical framework for measuring digital inclusion by analyzing these reports. It also demonstrates a mutually supportive relationship between digital inclusion measurement and related policy development. However,there are some challenges with current measurements,such as limited coverage of disadvantaged groups and uneven distribution of measurement dimensions.

How to evaluate the value of data has become the key issue for the circulation of data elements. Model-based data value evaluation is a new and effective intelligent way. Aiming at the shortcomings of the current value evaluation methods based on untrained data,which cannot effectively utilize the holistic scene information beyond the data content and model features,this paper proposes a training-free value assessment method with a mix of command engineering and the existing untrained methods,which uses the large models to understand and utilize the holistic information such as task type and data attributes. Through a simulation experiment,it conducts a comparative analysis of the effectiveness,robustness and generalization of different methods under the mainstream datasets. The study suggests that the untrained evaluation approach of data value can be effectively improved without adding excessive computational cost in combination with instruction engineering of large model and the no-training methods.

With the theme of "Discipline Construction and Talent Cultivation of Information Resource Management in the New Era",the First National Annual Conference on Information Resource Management and Doctoral Academic Forum held in-depth discussions on the development strategy of information resource management discipline,innovation of talent training model,traditional discipline transformation,frontier of data science,interdisciplinary integration,AI-empowered discipline construction,talent cultivation and other themes. By summarizing the main points of the seminar,this article presents new concepts,achievements and development trends of information resource management discipline construction and talent cultivation in the new era,so as to promote the sustainable development of the discipline.

University libraries play an indispensable and central role in AI literacy education. By using online survey and induction method,this paper thoroughly explores the experience of foreign university libraries in AI literacy education,so as to provide insights for domestic university libraries to optimize AI literacy education and create an integration model of AI literacy education. The study identifies several key characteristics of AI literacy education in foreign university libraries：strengthening cooperation between internal and external institutions （for education subjects）;focusing on user guidance and librarian training （for education objects）,highlighting the improvement of basic literacy （in the form of education）,and emphasizing ethical and moral issues （in the content of education）. Based on the responses of foreign university libraries,the paper develops an integration model for AI literacy education,which outlines the corresponding strategies for the four "small integrations" of educational subject,object,form,and content,thus facilitating a "big integration" of AI literacy education among university libraries.