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.

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.

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.

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.

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.

The development and application of generative AI provides new opportunities for library digitization,but it also brings challenges to the security of reader-related information,which manifests itself as the mishandling of reader information on a larger scale,with more complex behaviors and diverse scenarios. However,the existing reader information protection system has limitations,and there is an imbalance in the interests of reader information involved in generative AI. To solve these problems,it is necessary to develop classified protection rules according to the types of reader information defined in the Law on Public Libraries,so as to balance the claims of generative AI on patron information with the need to protect user information. Among them,stronger protection should be given to readers’private information,for which generative AI must strictly implement the rules of informed consent and purpose limitation;limited protection should be given to readers’ personal information,the processing rules of which generative AI can flexibly follow;lesser protection should be given to library loan information,the processing of which by generative AI is encouraged,with obligations to prevent abuse of information protection.

The Shanghai Library’s "Shanghai Memory" project,based on the city’s history and culture,collects and collates old photographs from modern literature to create a multidimentional and complex image memory of Shanghai.With the transition from digitisation to data,technologies such as semantic web,knowledge graph,virtual reality,intelligent devices and interaction design have rapidly advanced,making it possible to digitally reconstruct the fading urban memory. Leveraging the knowledge graph and data infrastructure of Shanghai Memory,the "Shanghai Cultural Landmarks" project attempts to interactively and virtually present the influence of iconic buildings from different historical periods on the cultural development of the city through the means of Embodied Cognition interactive design. In terms of implementation method,interactive digital narrative is adopted to guide users to participate in data mining and analysis during the interactive process,thus deriving a narrative path based on the visitors’own cognitive structure is derived. Interactive digital narratives provide a new way to visually design multi-source heterogeneous data,whose multidimensional narrative structure is more suitable for presenting complex data content. Using a user-centred framework for building interactive narratives,data can be transformed into accessible knowledge content,and ultimately,wisdom is developed that can be shared. Urban image resources are also presented to audiences in a new form,and this multidimensional cultural interpretation and display of the same landmark building is conducive to the innovation of the GLAMs service model.

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.

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.

In the context of digital transformation,library services face multiple risks in terms of costs,benefits,and substitution. Currently,relevant studies are fragmented and lack observation and analysis of systemic and holistic risks. Using the method of grounded theory,this article explores the risk elements of library services and their interactions based on relevant academic papers and 13 risk scenarios. It identifies seven categories of risk for library services,namely the cost risk,legal risk,technology risk,quality risk,utility risk,substitution risk,and value-based risk,which are characterized by a progressive cyclical evolution. In order to improve the level of library services in China,a dynamic risk assessment and monitoring mechanism should be established to scientifically predict the development trend of risks;promote the collaborative management of library service risks to enhance the efficiency of risk regulation;and establish risk rules and regulations based on the characteristics of the role of risks so as to avoid the risk of cyclic evolution.

ChatGPT offers more imagination and possibilities for the application of digital humans in library services. By summarizing the operating principles and technical advantages of ChatGPT,this paper proposes the main application scenarios of ChatGPT-enabled virtual beings in libraries,such as intelligent Q&A for virtual librarians,virtual narrators,reading promotion programs,and services accessible to special populations. It is recommended that libraries explore the path of empowering virtual library avatars through ChatGPT,focusing on technical support,information resources,service scenarios,and management systems,in order to better realize intelligent library services.

With the advent of the AIGC era,information resource management faces many opportunities and challenges. This paper first discusses the objects and scope in the field of information resource management expanded by AIGC,and explores the connections and differences between AIGC and traditional information resources. It then examines the development trends in the field of information resource management in the AIGC era,focusing on education,research,and practice. Finally,it analyzes the impact of AIGC on the field of information resource management and offers some visions for the future.

In the era of digital economy,data has become an important factor of production,releasing its value through open sharing and market-oriented allocation. Based on the literature,this paper explores the characteristics of data as a factor of production in detail,elaborates in depth on the theory,path,and problems of releasing the value of data elements,analyzes the current data factor identification,pricing mechanism and value release process,discusses the modes and paths of data factor value release for different subjects such as government data,enterprise data and personal data,and points out the future research directions for releasing the value of data elements.

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.

Safety & Security Situational Awareness and Shaping （SSAS） is critical to maintaining and shaping security. In the digital and intelligent age,there is an urgent need to enhance SSAS with digital intelligence. Based on an analysis of the connotation and essential elements of the digital intelligence-enabled SSAS,this article develops and explores a model for the digital intelligence-enabled SSAS,which is the coherent coordination and comprehensive integration of six elements,including ternary space system,digital and intelligent technologies and tools,intelligence working system,intelligence organizations,safety & security system,and safety & security organizations. The digital intelligence-enabled SSAS covers three key layers,namely security information perception in ternary space （information layer）,security situation awareness based on safety & security information （intelligence layer）,and safety & security situation shaping based on security intelligence （application layer）.

This article proposes some hypotheses on the relationship of factors influencing perceived risk of information security in social media. By examining the social media bases of college students,it surveys their risk perception through questionnaires,and establishes a structural equation model,which was validated and tested for mediation effects based on the questionnaire data. The study suggests that：there is a significant gap between urban and rural areas in the perceived information security risk in social media among college students,and they mainly adopt systematic processing strategies in the face of information security risks;media trust,sense of belonging to a social group,and involvement cognition affect systematic processing,and knowledge and information validity affect heuristic-systematic processing;systematic processing plays a full mediating role between knowledge,media trust,sense of belonging to a social group,involvement cognition,information validity,and risk perception,with negative emotions directly and positively affecting risk perception.

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 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.

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.

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.

Exploring the match between annual guidelines for topics and papers published in journals,and their influencing factors,is conducive to improving the quality of journals and enhancing their academic leadership. Using the annual topic guidelines of 13 journals in the field of Information Resource Management （IRM） between 2017 and 2021 and 11,836 papers published in the six-year period from 2017 to 2022,this paper creates two keyword datasets for the guidelines and the papers respectively,and explores the degree of match between them using corresponding programs written in Python. It analyzes the influencing factors according to the Theory of Planned Behavior,and examines the impact of these factors on the degree of matching using SPSS software. The study finds that the current year's guidelines and the papers published in the two adjacent years of the IRM journal are poorly matched,all below 0.5;and there is a difference in the degree of matching between the current year's guidelines and the papers published in the two adjacent years,with the first year's match being higher than the second year's match. There is a significant correlation between the following factors and the degree of matching：in descending order of influence,the duration of the journal,the proportion of funded papers,and the number of articles;while the number of journal sections,the compound impact factor of journals,the publication cycle,and the average annual length of papers are not related to the degree of matching.

This paper makes an analysis of UK’s Towards a National Collection （TaNC） Project,aiming to make clear diverse strategies for the exploration and utilization of digital heritage. It stresses on the foundation projects centered around cross-border collaboration,the discovery projects emphasizing knowledge services,and the COVID-19 urgency projects with a high emphasis on online utilization. The analysis delves into various aspects,including the guiding principles,stakeholders,technologies,and safeguard mechanisms. Based on such an analysis,it puts forward some optimization strategies for the exploration and utilization of digital heritage in China,i.e.,to define a national model for the exploration and utilization of digital heritage;to establish a collaborative mechanism in which industrial production,talent cultivation,academic research and practical use are emphasized;to construct an technological system driven by digital and AI technologies;and to implement a multiple safeguard mechanism through parallel measures.

The booming development of short video platforms has created new opportunities and challenges for the popularization of science and technology. This paper attempts to explore the information practices of short video bloggers in the context of increasing people’s knowledge of health sciences,to identify the pathways of their action,and to propose targeted strategies to address the challenges related to science popularization. To study the content creators with medical professional background who popularize health sciences in short video platforms,we obtained data on their psychological activities and behavior through semi-structured interviews,and crawled their relevant videos and user interaction data. Then,we introduced the activity theory to analyze the action paths of short video bloggers’ information practices in health science popularization. This paper clarifies the core elements of information practices in health science popularization,and analyzes the entire popularization process of short video bloggers in the field of health science from top to bottom into three levels of behaviors which are continuously visualized as “activity-action-operation”,corresponding to the motivation,goal and condition respectively. Drawing on the system-structure activity theory,the three adjacent elements within the system were combined to form four subsystems：content production system,narrative sharing system,action specification system,and external collaboration system. Focusing on the participatory role of multiple subjects,it systematically illustrates the action paths involved in the subsystems. Based on the stress in the popularization of science and technology perceived by the respondents,it proposes some practical response strategies from the perspectives of relevant government health departments,Internet platforms and institutions such as libraries,hospitals,and universities,which shed light on ways for multiple subjects to collaborate in the effective implementation of health science popularization.

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.

Rural cultural development requires both top-down government initiatives and bottom-up villager participation. By introducing the Garry Stoker’s CLEAR model of participatory governance,this paper examines the dynamic process of villagers’ involvement in rural cultural development. The study suggests that villagers face dilemmas in cultural participation,such as being unable to participate,having no intention to participate,ignoring the participation,having no way to participate,and having no mood to participate. These dilemmas are due to the socialization of cultural interaction which makes decision-making more difficult,the administrative organization of cultural events which compresses the cultural autonomy,and the marginalization of villagers’ roles which makes them develop a lie-flat mentality. The participation path of "empowerment-identification-organization- mechanism-response" can improve participation capacity,stimulate participation awareness,strengthen participation forces,expand participation channels,and facilitate participation motivation.

The achievement of national political or economic goals often requires the coordinated implementation of all kinds of policies. Therefore,exploring the relationship and relevance among different policies is conducive to the scientific formulation and effective practice of such policies. However,current researches have done little in revealing the semantic level of policy text relevance. In order to know more about the relationship and relevance among different policies and discover the core policy in each policy group,this paper proposes a multi-level relevance mining framework of policy entity knowledge network. First,named entity recognition technologies are used to extract fine-grained policy knowledge objects in policy texts. Then,a multi-level policy entity knowledge network is constructed,and a quantitative calculation method based on Jaccard distance is designed. Afterwards,an analysis is conducted of the self-constructed a multi-level entrepreneurial policy entity knowledge network. The result shows that such a network can effectively reveal the potential relevance among different policy texts,discover the core policy in each policy group,and interpret the relationship among the policy texts from multiple dimensions.

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.

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.

The study of Japan's open science policies which are at the forefront in Asia,is of great significance in promoting the formulation and implementation of open science policies in China. This paper presents a textual analysis of Japan's major open science policies using Nvivo 12 plus qualitative analysis software and grounded theory research method. The study suggests that Japan's open science policies,which mainly consist of open access policy,open research data policy,open innovation policy,open science incentive policy,and research integrity policy,are characterized by government-led policy formulation and broad participation of various stakeholders,the role of public funding agencies as facilitators,and a strong focus on open access and open data. Japan's practices have achieved notable successes in making open science policy an important part of government policy,in building research data infrastructure,and in integrating open science concepts and practices into the academic research. Drawing on Japan's experience,China can build its open science policy system,create a favourable policy environment for open science,and improve the core policy content of open science.

The selection and application of research methods have a significant impact on the depth and reliability of scientific studies,making them critical to the advancement of scientific research. This study,based on a review of methodological research in the field of Library and Information Science（LIS）,systematically organizes,summarizes,and codes the research methods commonly used in LIS. Using papers from 11 top LIS journals in 2023 as a data source,it conducts a statistical analysis of the trends in the use of research methods in LIS journal articles,and explores the impact of factors such as the nature of the LIS discipline,the subjects,and the authors’ academic backgrounds on the choice of research methods. The results show that the content of research methods used in LIS articles is continuously evolving,with interdisciplinary approaches,emerging theoretical methods,and diverse research methodologies contributing to the depth and richness of research in LIS.

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.

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.

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.

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.

In order to explore the relationship between librarians'subjective well-being and its influencing factors （the variables）, this article fits a multiple regression equation by conducting multiple linear regression with librarians' basic information,job satisfaction in six subdimensions and organizational commitment in three subdimensions as the independent variables,and librarians'subjective well-being as the dependent variable. The study shows that,among all the independent variables,the sense of work value is the most influential variable on librarians'subjective well-being;the three subdimensions of organizational commitment all affect librarians'subjective well-being to a certain extent,and the influence of organizational climate satisfaction on subjective well-being should not be ignored. In addition,the individual characteristics such as gender,health and years in the library also have a positive or negative impact on librarians'subjective well-being.

ChatGPT has provided a new starting point for digital teaching resource construction and services in the educational Metaverse. Through an exploration in the knowledge growth model in the information environment,this paper proposes a model of digital teaching resource construction empowered by ChatGPT in the educational Metaverse,and forms a knowledge circulation cycle of native,dynamic and renewable resource construction empowered by ChatGPT. Starting from the perspective of cognitive needs,it discusses three kinds of resource services which could be provided by ChatGPT for teachers and students,i.e.,contextual cognition,constructionism and distributed cognition. It then builds a framework of digital teaching resource construction and services empowered by ChatGPT in the educational Metaverse from the five aspects of teachers and students,field,technologies,resources and systems. Besides,it discusses the negative effects of ChatGPT empowerment as well as some countermeasures.

In the context of the integration of culture and tourism,libraries have become tourist destinations,and thus they are facing new challenges. The construction of cultural tourism maps is an important way for technology to empower cultural tourism as well as an important means for libraries to improve their services. Based on an analysis of current cultural tourism maps and library guide maps,a model for the construction of cultural tourism maps for libraries is proposed. By means of the WebGIS technology,this model integrates all kinds of data from different resources,including digital humanities resources,paper resources,Internet resources,etc. It could present various types of library information on map websites and display specific functions for specific tourist groups. Then,an empirical research on libraries in Shanghai is conducted,and the Roaming Map of Libraries in Shanghai is constructed. The result shows that this model has competitive advantages in data presentation,data fusion and functional design,so it could help libraries to improve their services and enhance the cultural tourism experience of tourists and readers as well.

Current research on the identification of emergency response elements faces the challenge of automatically recognizing data on disaster factors,response process,affected objects and so on. This paper establishes a four-dimensional model of emergency response elements,which are classified into eight categories covering safeguard measures,response measures and other processes,and proposes a TDA-RoBERTa-wwm-BiLSTM-CRF model. By adopting a template-based data augmentation strategy and integrating a pre-trained model with BiLSTM-CRF,the proposed model automatically identifies multiple factors of emergency events. The comparative and ablation study shows that the proposed model performs effectively in the automatic recognition of emergency response elements.

Based on the data from a questionnaire survey on the happiness index of contemporary librarians,this article uses data analysis methods such as independent samples T-test and one-way ANOVA to analyze the influencing factors of librarians' subjective well-being,focusing on gender,age,title,education,position,type of library,region,and income. The study indicates that there are significant differences in librarians' subjective well-being scores due to personal characteristics,professional characteristics,type of library,region,and income.