[Purpose/Significance] High-quality development of new quality productive forces cannot be achieved without the support of intellectual property rights. Intellectual property (IP) has emerged as a new type of production factor with catalytic and leveraging effects, presenting both opportunities and challenges for the intelligent transformation and development of IP information literacy education in university libraries. This study aims to explore the current status and innovative paths of IP information literacy education in university libraries against the backdrop of new quality productive forces, providing theoretical references and practical foundations for the transformation and development of libraries. [Method/Process] Through a review of relevant domestic and international literature, it was found that existing research has primarily focused on investigating and analyzing the status of intellectual property information literacy education in universities, without incorporating an analysis of the demand for new quality intellectual property talent in the context of new quality productive forces. The article summarizes existing research and conducts an online survey of IP education practices in 30 national intellectual property demonstration universities, examining dimensions such as platform setup, participating entities, educational content, educational formats, branding, and special topic settings. From the perspective of participating entities and training objectives, educational formats and talent application, educational content and practical needs, as well as promotion goals and methods, the article discusses the issues currently existing in IP information literacy education in universities against the backdrop of new quality productivity, and proposes corresponding strategies. [Results/ [Conclusions] New quality productivity is driving the integrated upward development of various industries. As the main institution for IP information literacy education, libraries should seize the development opportunities, cultivate forward-looking new quality intellectual property talented people, continuously strengthen their IP information literacy teaching ability by analyzing their own weaknesses, They should grasp the current wave of emerging technologies, enhance human resources development, constantly innovate educational concepts, innovate service models, attract multiple entities to participate in building an industry-university-research integration community, and thereby promote the high-quality transformation and development of libraries. A limitation of this article is that it only conducts a survey of educational institutions in universities without involving a survey of educational object needs. In subsequent research, a method based primarily on field research will be adopted to expand the scope of the survey.

[Purpose/Significance] The ongoing digital transformation has led to significant changes in public cultural services, particularly in content generation, communication channels, and modes of public participation. "Accessibility," a key indicator of the extent to which citizens' cultural rights are realized, is typically assessed along four dimensions: availability, acceptability, accessibility, and adaptability. Previous research has focused primarily on the supply side of accessibility, examining how factors such as the distribution of cultural resources, infrastructure development, and policy support affect user engagement. However, with the widespread adoption of digital technologies, individuals' ability and willingness to access information, utilize services, and provide feedback - collectively referred to as "digital literacy" - has become an increasingly important variable influencing cultural participation. Consequently, this study seeks to explore the relationship between users' digital literacy and the accessibility of public cultural services from a demand-side perspective. It aims to provide a more systematic theoretical framework and practical approach to optimizing the effectiveness of public cultural services. [Methods/Process] This study assesses users' digital literacy by examining their level of digital access, Internet usage, and service availability based on data collected from the Beijing-Tianjin-Hebei region. A structured questionnaire yielded 892 valid responses. To analyze the relationship between users' digital literacy and the accessibility of public cultural services, the study applies a generalized ordered logit model. A generalized ordered logit model is employed to analyze the substitution and overlap effects between users' digital literacy and the various dimensions of service accessibility. [Results/Conclusions] There is currently a digital divide exists between different demographic groups. A significant substitution effect is observed between traditional public cultural accessibility and users' digital literacy, with limited overlap between the two. Digitization has driven the modernization of public cultural resources and services, particularly in terms of technology and service delivery. However, there remains a time lag between the users' digital literacy of users and the digital transformation of the public cultural supply side. This lag suggests that the digital needs of users and the availability of digital cultural services are not fully aligned, which negatively impacts the effectiveness of public cultural services. Therefore, enhancing users' digital literacy, especially improving their ability to adapt to digital cultural resources, is a crucial factor in transitioning public cultural services from "accessibility" to "enjoyment". In promoting the digital upgrading of public cultural services, greater emphasis should be placed on developing users' capabilities and anticipating their needs.

Purpose/Significance With the rapid development of generative artificial intelligence (AI) and large language models (LLMs), the role of "prompt librarians" has emerged. This study constructs a theoretical framework for prompt librarians and explores the rationality, feasibility, and significance of the transition of librarians to this role from the perspective of new quality productive forces. Driven by the new quality productive forces represented by AI, transforming librarians into prompt librarians can not only optimize application scenarios and user experience, but also improve work efficiency and effectively promote the intelligent transformation of libraries. There is currently no research on this topic in the existing literature. This study, for the first time, proposes a theoretical framework for prompt librarians and the implementation path for the transition of librarians, filling the research gap in this area. Method/Process Through a review of relevant national and international literature, this study examines the impact of AI on the role and positioning of librarians within the library industry. Taking the new quality productive forces as the theoretical foundation and driving factor, the study explains the necessity of the transition of public librarians to prompt librarians, and analyzes the rationality, feasibility, and significance of this transition. Furthermore, a theoretical framework for prompt librarians is constructed, encompassing concepts, scope of functions, work processes, and core competencies. Additionally, through the method of literature review and online surveys, the study examines the current status of information and knowledge services in public libraries, focusing on the top thirty libraries ranked by online influence in China. It identifies the major challenges faced by librarians in the transition. Based on the theoretical framework of prompt librarians and real-world challenges, the study explores the implementation path for the transition of librarians to prompt librarians, ensuring the scientific, logical, and innovative nature of the research. [Results/ Conclusions As an emerging role that combines the library industry with AI technology, prompt librarians, driven by user needs, explore the unique resources of their collections in depth, revitalizing literature, diverse information resources, and other materials through AI pathways. They act as guides and translators between knowledge and AI, effectively driving the intelligent transformation of libraries. However, the transition of librarians faces many challenges. To facilitate a smooth transition, this study proposes implementation pathways, such as the establishment of dedicated prompt librarian positions, a "three-step leap" training model for librarians, robust top-level planning, the construction of multi-modal resource service platforms, AI ethics considerations, and interdisciplinary collaboration. Through these explorations, the study aims to provide innovative ideas and practical guidance for the transition of librarians in the AI era, enrich research on the application scenarios of new quality productive forces, and enhance the service quality and competitiveness of libraries.

[Purpose/Significance] The development of artificial intelligence generated content (AIGC) technology has engendered novel prospects for the establishment of creating inclusive and expansive learning environments. In light of the potential risks associated with the misuse of AIGC tools, the present study analyzes the factors influencing students' use of AIGC tools within the context of artificial intelligence literacy. It constructs a conceptual model framework and explores the relational paths among influencing variables, aiming to provide a theoretical basis for the advancement of AI literacy education in libraries and other educational institutions. [Method/Process] This study adopts a mixed-method approach that primarily integrates Structural Equation Modeling (SEM) and mediation analysis to explore the relationships between the factors that influence AIGC tool usage. A conceptual relationship model was constructed based on the Technology Acceptance Model (TAM), which is widely utilized model for assessing users' acceptance of new technologies. The study builds on this model by adding AI literacy as a key variable to examine its moderating role in shaping the students' use of AIGC tools. The data were collected via a survey disseminated to university students who have used AIGC tools. The survey incorporated a series of inquiries designed to assess constructs such as effort expectancy, performance expectancy, behavioral intention, AI literacy, and actual usage of the tools. The SEM approach was employed to assess the proposed hypotheses and to validate the relationships between the identified factors. Mediation analysis was employed to assess indirect effects between variables. [Results/Conclusions] The findings indicate that effort expectancy exerts a direct impact on the actual use of AIGC tools by students, and indirectly promotes usage behavior through performance expectancy and behavioral intention. Furthermore, AI literacy plays a crucial role in improving the conversion rate from intention to actual usage. Specifically, AI literacy significantly enhances students' acceptance of AIGC tools, especially in terms of increasing their practical ability to use these tools effectively. The research also identifies key factors that influence students' use of AIGC tools, such as performance expectancy, effort expectancy, and behavioral intention, and highlights the significant moderating effect of AI literacy on the relationships among these factors. This study provides empirical evidence for the effective integration of AIGC technology into the education sector and offers theoretical guidance for libraries and educational organizations on how to design AI literacy education programs that help students adapt to a digitally driven society. Future research may encompass a more extensive examination of the utilization of AIGC tools across different academic disciplines, with a particular emphasis on their implementation in specialized domains. Additionally, the proposed model may be refined to better accommodate a wider range of educational contexts and learning scenarios.

[Purpose/Significance] The library is currently in a critical period of development for the "15th Five-Year Plan", and the intelligent strategy is one of the key areas of the library's "15th Five-Year Plan". The large-scale modeling technologies represented by DeepSeek, ZhipuAI, ChatGPT, etc. are reshaping the boundaries and forms of knowledge services through the deep integration of new-generation artificial intelligence technologies and knowledge service systems, providing important theoretical and technical support for the development of library intelligence strategies during the 15th Five-Year Plan period. Therefore, exploring how DeepSeek enhances library knowledge services has become one of the most cutting-edge issues worth paying attention to in the library and information science (LIS) field. [Method/Process] On the basis of a brief review of the current state of research on the integration of DeepSeek and library knowledge service theory, this article designs and proposes a theoretical model for DeepSeek to enhance library knowledge services. It explores the innovative model of DeepSeek that empowers library knowledge services from five aspects: knowledge discovery, knowledge acquisition, knowledge analysis, knowledge recombination, and knowledge utilization and thoroughly analyzes the four core dimensions of technology empowerment, business empowerment, user empowerment, and ecological empowerment. It also elaborates on the security issues of large models caused by the open source strategy, the intellectual property risks caused by technological innovation, the knowledge illusion problems caused by data traps and defects, and the information cocoon problems caused by technological applications. This study aims to provide some reference and inspiration for the research of related issues. [Results/Conclusions] The library is currently in a critical period of development for the "15th Five-Year Plan". DeepSeek's inherent technological advantages such as low cost, high performance, and open source ecosystem not only enable the library knowledge service system in multiple dimensions, reshape the boundaries and forms of knowledge services, comprehensively enhance users' knowledge service experience, but also provide stronger impetus for library construction, management, and service in the "15th Five-Year Plan" period. The theoretical model of DeepSeek empowerment of library knowledge services mainly includes four core dimensions: technology empowerment, business empowerment, user empowerment, and ecological empowerment. It has an impact on library service innovation in five aspects: knowledge discovery, knowledge acquisition, knowledge analysis, knowledge recombination, and knowledge utilization. At the same time, it can bring many problems, such as model security, intellectual property risks, knowledge illusions, and information cocoons. From the existing public information, DeepSeek can provide important technical support and core driving force for library knowledge service innovation in the era of artificial intelligence from four aspects: technical algorithms, training cost, open source ecology, and local lightweight deployment. Since the gradual formation of the DeepSeek open source ecosystem, more and more enterprises, communities, research institutions, teams, and developers have actively participated in and built the industry ecosystem, showing a strong magnetic field effect. Libraries should adhere to the principle of "join if you can't win", actively integrate into the DeepSeek open source ecosystem, and build an ecosystem of knowledge service ecosystems with library industry characteristics and disciplinary features.

[Purpose/Significance] Research on the behavioral stimulation of online social platform interactions triggered by IP-based games on users' active learning and reading, the social demands within gaming communities and their derivative reading-sharing interactions constitute dual intrinsic motivations that promote autonomous reading behaviors. Exploring new developmental directions for reading promotion through digital game dynamics and group-based social guidance provides broader research perspectives for innovative knowledge acquisition and pedagogical learning paradigms. [Method/Process] Based on the game "Black Myth: WUKONG" as the research background, we collected relevant comments and original texts from four social media platforms. Using the LDA model for topic classification of the effectively collected data, users who demonstrated marked behavioral tendencie towards book-related engagement and reading activities attributable to the "WUKONG" game experience were manually identified from the aforementioned dataset. We explored the details of their social discourse and the behavior of user accounts through user-account backtracking, studying the factors that stimulate users' interest in reading and active reading behavior. [Results/Conclusions] Analysis of the five thematic clusters identified by the LDA modeling revealed that in the user behaviors focused on the theme of cultural exploration, 38.3% of the user behavior data showed increased exploratory engagement with original literary works and related content during "WUKONG" mediated group interactions. Whether this interactive exploration closely connects to reading habits needs further study. Further research has shown that a portion of users were influenced in their subsequent behaviors by this game and social interaction. Through text mining of user content on key topics, analysis revealed that 61.15% of user accounts had no prior engagement history, representing first-time participants in the cultural learning interactions of the "WUKONG" game. Notably, 23.7% of this cohort spontaneously expressed self-directed reading intentions during the game-social scenario. As the dominant subgroup in the dataset, their behavioral patterns suggest that gamified social platforms may serve as critical trigger mechanisms. It was found that the factors that stimulate users to read independently include competing for the right to speak in social interactions and obtaining gaming experiences. Accordingly, strategic practices for autonomous reading should accordingly be implemented through digital content guides, transmedia narrative interactions, and visual scene experiences. This research investigates the orienting mechanisms of digital games and community interactions in edutainment convergence, demonstrating both theoretical value and practical implications for user behavior analysis and reading promotion. While the study design ensured breadth of data collection, the heterogeneity of social attributes across platforms warrants further investigation. Subsequent studies should conduct platform-specific comparative experiments to strengthen the empirical foundation for behavioral intervention strategies.

[Purpose/Significance] To address the problem of semantic ambiguity and soybean breeding knowledge that needs to be revealed in depth, a structured knowledge model was established to thoroughly discuss the definition of key concepts and their interactions involved in the breeding process, standardize the definition and organization of soybean breeding knowledge, and promote the unified expression of knowledge. [Method/Process] By analyzing the characteristics of knowledge structure in the field of soybean molecular breeding, according to the seven-step method of Stanford ontology construction, the semantic model of soybean molecular breeding was established by using the ontology construction tool protege 5.6.3. A total of 48 classes were constructed in the soybean breeding concept ontology, which clarified the concepts and hierarchical associations among concepts under traits, compounds, enrichment pathways and growth classification. Seven types of causal relationships and three types of static relationships were defined. Finally, the ontology-based knowledge graph was presented based on a PubMed literature, and the knowledge unit with Dt1 gene as the central node was queried. [Results/Conclusions] This study integrated the existing knowledge base and ontology related to soybean breeding, established a knowledge model at the biomolecular level in the field of soybean breeding, and provided a certain reference for knowledge sharing and semantic integration in this field. Compared with the existing knowledge models, this study analyzed the characteristics of knowledge structure in soybean breeding, extracted the key entity types and relationship types in the process of hypothesis generation, and constructed an ontology model based on this, which could describe gene expression patterns in soybean growth and development more comprehensively. This is of great significance for discovering the key genes associated with specific traits and analyzing the molecular regulatory networks formed by traits, which will help to accurately design and optimize breeding strategies. The knowledge model constructed in this study could be applied to knowledge discovery, causal reasoning and other scenarios in soybean breeding, supporting experimental design and promoting interdisciplinary communication. The limitation of this study is that the ontology was constructed manually and no automated natural language processing method was used. In addition, in the subsequent use of soybean breeding knowledge model, it is necessary to keep up with the frontier of development in soybean breeding, expand new concept types, add new concept names and relationship names in time according to the knowledge description needs of field scientists, and regularly maintain and expand soybean breeding knowledge model.

Purpose/Significance The evolution of smart libraries has ushered in a new era, marked by the integration of multimodal learning technologies that combine information from various modalities such as speech, images, and video. This cutting-edge technology is revolutionizing traditional information service systems by providing a more interactive, efficient, and personalized user experience. Unlike traditional studies that focus on single-mode interactions, this research examines the role of multimodal technologies in transforming library services and increasing user engagement. The study highlights its unique contributions to the field of library science, particularly in improving knowledge dissemination, enhancing user-centered services, and addressing emerging challenges in digital information management. These findings not only enrich the theoretical framework of smart libraries, but also provide practical insights into the design and deployment of advanced information services. Method/Process This study takes a multidisciplinary approach, drawing from library science, information technology, and human-computer interaction theories. It systematically reviews the historical development and theoretical foundations of multimodal learning technologies while emphasizing their relevance to intelligent library ecosystems. The analysis is organized around key application areas, including intelligent navigation, intelligent question and answer systems, user education with intelligent support, and immersive reading experiences. These areas were explored through a combination of case studies, and a detailed analysis of current library practices. To evaluate the practical impact of these technologies, the study employed qualitative methods, analyzing user feedback and system performance metrics. This comprehensive research also identifies current barriers to adoption, such as data privacy concerns, technology costs, and disparities in user acceptance across different demographics. [Results/ Conclusions The results show that multimodal learning technologies significantly enhance the functionality and user experience of smart libraries. They improve the accuracy of information retrieval, enable more interactive and immersive learning environments, and enable personalized services tailored to individual needs. Despite these advantages, challenges remain, particularly in areas such as securing user data, reducing deployment costs, and increasing accessibility for underprivileged users. The study proposes actionable strategies to address these issues, including enhancing system interoperability, refining ethical frameworks, and fostering human-computer collaboration to reduce barriers to technology adoption. It also identifies gaps in current research, such as the need for more empirical studies of long-term user interaction patterns and the scalability of multimodal systems in large library networks. Future studies could also explore the integration of emerging technologies such as augmented reality (AR) and artificial intelligence (AI) into multimodal library services to further improve their efficiency and reach. By providing a robust framework and practical strategies, this study contributes to the ongoing discourse on smart library innovation, and paves the way for more sustainable and inclusive information service models. It underscores the transformative potential of multimodal technologies to redefine library science and advance the global digital information landscape.

[Purpose/Significance] With the rapid development of international academic digital publishing, ebook sales have surpassed those of print books since 2020. Many academic libraries in the USA are adopting e-preferred book collection development policies. In recent years, China's academic ebook market has been growing rapidly, as the well-known academic publishers such as Science Press and Tsinghua University Press have successively launched their own ebook platforms, and high-quality ebook integrator platforms such as Keledge and Cxstar have emerged, leading to a qualitative leap in both the quality and quantity of Chinese academic ebooks. The rapid development of the Chinese and English ebook markets has made collaborative collection development of print and ebooks feasible, which is considered to be a good solution to the tight collection budget and insufficient library space for Chinese academic libraries. The paper aims to propose a strategic direction and implementation path for collaborative collection development of print and ebooks, and provide a reference for the high-quality development of academic library collection development under the background of "Double First Class" construction. [Method/Process] The paper summarizes the main characteristics of SUSTech Library's three phases of book collection development, and introduces SUSTech Library's collaborative collection development practices of print and ebooks from four aspects: collaborative acquisition, collaborative management, collaborative services, and collaborative evaluation. A collaborative acquisition strategy should be based on four factors: collection assurance, patron needs, library space, and cost effectiveness. Collaborative management should redesign the business process from the aspects of funding plan, book selection, acquisition implementation, metadata management, and statistics. Collaborative services should be based on the needs, recommendations, and usage of user groups and individual users. Collaborative evaluation refers to a structured analysis on the print and ebook collections across five dimensions, including language, subject, publisher, book type, and year of publication. [Results/ [Conclusions] The paper puts forward suggestions from three aspects, such as top-level design, deep integration of business processes, and integrated management platforms. The academic libraries' management team should develop collaborative collection development policies and strategies from the top down. Deep integration of business processes should support optimization of organizational structure and job position adjustment, which replaces the traditional approach of defining job positions and responsibilities based on a single material type or business process. Integrated management platforms should support the integration of multiple metadata sources and business processes, and have strong knowledge discovery and service capabilities.

[Purpose/Significance] As part of the plan to build a better new digital life, information literacy (IL) is a survival skill in the information age. As a major repository of information resources, public libraries are the backbone of public IL education. The research on readers' knowledge construction behavior of IL education in public libraries is not only helpful for readers to improve their individual IL and self-learning ability, but also constructive for the development of the national IL system. At present, relevant research mainly focuses on the framework and practical suggestions of IL education, and rarely analyzes the construction of readers' knowledge in IL education from the perspective of knowledge management and readers' behavior. [Method/Process] From the perspective of readers' knowledge construction, this paper logically extends to the necessary knowledge scene transformation in public library IL education, and finally rises to the level of development strategy on how readers can realize knowledge construction and innovation in public library IL education. Information literacy education in public libraries also includes explicit and implicit knowledge. Information literacy education activities in public libraries focus on sharing explicit knowledge, enhancing the value of collection knowledge, but more attention should be paid to the exploration of implicit knowledge, enhancing knowledge transformation and innovation of participating readers. The path of reader knowledge construction in IL education can be divided into individual knowledge, team knowledge, organizational level knowledge. According to the different levels of knowledge construction, four knowledge transformation modes constitute the spiral process of knowledge innovation. Based on the MOA model, this paper analyzes the motivational factors, opportunity factors, and ability factors of readers' knowledge construction in the IL education in public libraries, as well as the constituent elements of the knowledge construction community and their interactive relationships from a multi-dimensional dynamic perspective. The model of readers' knowledge construction in public library IL education from the perspective of MOA analyzes the influence of motivational factors, opportunity factors, and ability factors on the readers' knowledge construction behavior in the knowledge construction community of IL education. Motivation points to opportunities and skills, suggesting that motivation leads readers to seek opportunities and develop necessary skills; motivation, opportunity and ability, and knowledge construction community all point to readers' knowledge construction behavior, suggesting that together they influence and promote readers' knowledge construction process. [Results/Conclusions] Readers' knowledge construction in the MOA model is a dynamic and multi-stage process. In the IL education activities of public libraries, readers gradually promote their understanding of knowledge and apply it to practical situations by stimulating motivation, exploiting opportunities, improving skills, and ultimately constructing knowledge. At the same time, through the feedback evaluation stage, further enhance knowledge construction strategies, update development goals, and continue reform and innovation. This study is only a theoretical extension of practical work experience, and does not involve rigorous and formal data verification and case study. In the next step, the questionnaire will be used to collect sample data, and through hypothesis testing and model fitting, the application practice of the MOA model in readers' knowledge construction behavior will be further verified.

[Purpose/Significance] Artificial intelligence-generated content (AIGC) is having a profound impact on the field of education. Currently, there are some problems in the digital education environment, such as incomplete digital infrastructure and slow digital transformation. The postgraduate education system has not yet fully responded to the changes in the educational environment in the intelligent era. In the era of AIGC, digital literacy has become an important component of graduate students' core competence, which is related to their future academic research and career development. In order to promote graduate students from the understanding of intelligent technology to the rational application, this paper explores a new way of talent training to adapt to the development of intelligent technology. Improving graduate students' literacy skills is important for adapting to the new demands of learning and research in the AIGC era. [Method/Process] Through a literature review and case analysis, this study explores the importance of digital literacy education for postgraduate students, and identifies challenges in educational content and teaching methods. Based on the successful experience of international universities, by analyzing the advantages and application scenarios of AIGC technology, combined with the current situation and existing problems of graduate students' digital literacy education, this paper proposes strategies and ways to improve graduate students' digital literacy. Based on the relevant theories of educational technology development, combined with educational practice and case analysis, this paper proposes an improvement plan for postgraduate students' digital literacy education in the AIGC era. [Results/Conclusions] In order to adapt to the changes brought about by AIGC technology, colleges and universities need to innovate in curriculum design, teaching paradigm and evaluation methods, and put forward strategies such as introducing AIGC-related knowledge modules, building interactive digital resources' intelligent recommendation platform, establishing interdisciplinary integration mechanism, strengthening ethical and legal education and establishing supervision mechanism, so as to promote the comprehensive ability of graduate students. Future research can further explore the deep integration path of AIGC technology and postgraduate students' digital literacy education, the high-order thinking practice direction of AIGC to promote digital literacy, and how to give full play to the positive role of AIGC technology in education while ensuring academic integrity. The shortcoming of this study is that because the development of AIGC technology is still in rapid evolution, some of the suggestions of the study may need to be adjusted in time according to the further development of the technology.

[Purpose/Significance] Limited by the constraints of traditional literature classification systems, scientific and technical literature information resources face problems such as inadequate disclosure and resource utilization. At the same time, high-quality user-generated data cannot yet be integrated as data elements into services related to scientific and technical literature services, which prevents these services from adapting to the context of the open science and meeting the diverse knowledge needs of readers. This study aims to harness the technological breakthrough potential of AI to build a consumer-end data system for scientific and technical literature information resources driven by AI and experts. This will help to overcome the shortcomings of traditional services, such as the lack of supporting reading information and low interactivity between users, with the hope of promoting the optimization process of scientific and technical literature information resource services. [Method/Process] First, the study analyzes the four-dimensional value representation of the consumer-end data systems for scientific and technical literature information resources, including the intrinsic value, the tool value, the academic value, and the future value of annotation data. Then, following the processing flow of consumer-end data, namely the collection phase, utilization phase, and management phase, the paper proposes principles for the construction of consumer-end data systems. Furthermore, the paper deconstructs and analyzes the risks associated with the involvement of AI in the construction of consumer-end data systems, including four types of risks: machine algorithm risks, annotation content risks, annotation data risks and application risks. Finally, based on the degree of AI involvement in data annotation work, three innovative models of AI plus expert collaborates with user to accomplish data annotation for scientific and technical literature information resources are designed: the AI plus expert-assisted data annotation model, the AI plus expert collaborative data annotation model, and the AI plus expert-led data annotation model. [Results/Conclusions] Under the AI plus expert-assisted data annotation model, AI acts as a tool to complete surface-level information processing based on rules set by experts to assist users in data annotation. In the AI plus expert collaborative data annotation model, AI completes the review of pre-annotation tags for scientific and technical literature information resources, transforming users from a self-generated tag mode to an AI-generated data tag evaluation and selection mode, with experts assisting in the final review of data tag quality. In the AI plus expert-led data annotation model, users provide data annotation requirements, experts guide the process, and data annotation is automatically completed by the AI4S platform.

[Purpose/Significance] Improving the policy and governance systems to promote the development of strategic industries such as artificial intelligence was explicitly proposed in the resolution of the Third Plenary Session of the 20th Central Committee of the Communist Party of China. In recent years, the conflict between AI companies' desire for copyrighted data and the copyright holders' protection of copyrighted data has become increasingly apparent. There have been a number of lawsuits and disputes around the world regarding copyright infringement caused by artificial intelligence. The dilemma of copyright protection of AI training data has become a difficulty and bottleneck that urgently needs to be resolved in the development of high-quality data system for AI. [Method/Process] Based on the academic research and industrial practice on the copyright protection of AI data, this study systematically summarizes six representative approaches to address the copyright dilemma of AI training data, and provides a comparative analysis of the advantages, disadvantages, and applicability of these approaches. The six representative approaches are: signing a license agreement by both parties, initiating special plans or forming alliances, introducing a copyright notice mechanism, introducing a copyright risk guarantee mechanism, replacing with synthetic data, and applying copyright detection tools to large language models. For the copyright dilemma of AI training data, there is no optimal solution that can both encourage the supply of AI copyright training data and protect the copyright of data. [Results/Conclusions] In order to provide helpful references for increasing the supply of AI copyright data, formulating relevant policies, and promoting related work, this study has proposed a concept of general implementation path to build a high-quality data system for AI to solve the copyright dilemma of AI training data, based on the comparative analysis of the above six representative approaches and combined with China's four unique advantages. These include: 1) Integrating existing platforms to build a national-level integrated service platform for copyright data for AI, with state-owned enterprises (SOEs) under the direct administration of the central government taking the lead in establishing a national copyright data alliance and connecting copyright data to the platform. 2) To collaborate with local pilots of data intellectual property rights, explore and promote comprehensive reform pilot programs of copyright data adapted to the development of AI, and continuously strengthen the cooperation efforts and willingness between AI enterprises and copyright holders. 3) The focus should be on principled or critical issues, establishing and improving legislation related to copyright data for AI and promoting industry self-regulation.

[Purpose/Significance] Information literacy (IL) training for farmers has become one of the main contents for farmers in the new era. However, the current implementation of rural revitalization still does not pay enough attention to farmers. At the same time, farmers' IL ability is an important embodiment of farmers' integration into the digital countryside, which can give a strong boost to the modernization of agriculture and rural areas. Therefore, it is of great practical significance for the rural revitalization strategy in the new era to make full use of multiple social subjects and improve farmers' IL. [Method/Process] This paper reviews the concept and definition of IL, and analyzes the research on farmers' IL in recent years. The results show that most of the current research on the cultivation of farmers' IL focuses on a specific topic and lacks holistic research. Therefore, it is necessary to systematically understand the cultivation process of farmers' IL, and guide the cultivation behavior of IL by the all-round cultivation concept. [Results/Conclusions] At present, although the local governments have initially built an IL training model of the new era, with schools and social organizations as participants in the model, farmers still lack information knowledge, information awareness, and IL skills. Several proposals are put forward here to address the above issue. First of all,it is necessary to strengthen the construction of IL education system and improve farmers' information knowledge. The government should give full play to the local government agencies in resource integration, schools and scientific research institutions in professional advantages, and social organizations in providing information services, so as to provide farmers with more systematic IL training. Second, efforts should be made to jointly build IL education space to raise farmers' information awareness: the government should build farmers' IL training base, the schools should promote the transformation of the education model, and social organizations continue to carry out IL training project. The three parties join hands to build a three-dimensional integrated IL education space of "material space, spiritual space and social space", and a new way of the cultivating farmers' information awareness. Finally, IL teachers should be trained to improve farmers' information literacy. The government will attract and retain information talent in rural areas through positive talent polices. Schools will play an educational role in developing farmers' information literacy skills.

" AI for Science " (AI4S) is a new scientific research paradigm that deeply integrates AI technology with scientific research to promote the discovery of new knowledge and the solution of scientific problems. As the application of AI4S in the natural sciences and humanities and social sciences advances, its development line, opportunities and challenges, needs and tasks, and ways of realization deserve further discussion. In order to advance AI4S research, promote scientific and technological (S&T) innovation and progress, and facilitate the effective strengthening of the discipline of information resources management, our journal has invited seven experts to organize this academic conversation on AI4S. 1) Supporting knowledge services for AI4S: In the current landscape of intelligent knowledge services, the requirements for supporting AI4S have increased, including the need for multi-level knowledge discovery and acquisition, cross-disciplinary research and innovation, and user-friendly participatory services. In addition, knowledge service scenarios are moving towards diversification, complexity, depth, specialization, and personalization in ubiquitous knowledge discovery, generative content services, and multi-round interactive service exploration. In response, professional science and technology information organizations need to reassess the role of knowledge services in the AI4Science environment and their significance in comprehensively supporting the S&T innovation process. This involves establishing a broad literature perspective, deepening full-text knowledge elements, balancing universal and specialized depth, autonomously developing core products, and deeply engaging with professional fields to support interdisciplinary innovation. 2) As a knowledge base for AI4S: In the development of AI4S, S&T literature serves as a high-quality corpus of great importance and utility. The Documentation and Intelligence Center of the Chinese Academy of Sciences has developed the concept and general framework for an AI4S knowledge base utilizing S&T literature. It is dedicated to building four types of knowledge bases to support intelligent services such as evidence-based retrieval, situational awareness, inference prediction, and insight generation required for AI4S applications. In addition, to advance the AI for Science knowledge base, it is essential to actively promote the construction of an intelligent data system, develop an AI engine for technical literature knowledge, conduct key technology research on in-depth mining and intelligent analysis of S&T literature, and promote collaboration with scientific research units across various fields, leading AI companies, and teams of field scientists. This approach aims to fully exploit the innovative and developmental value of the discipline of information resource management. 3) Powering AI4S with scientific data: Effective aggregation of scientific data is the foundation for unleashing the powerful capabilities of AI4S. This is essential for libraries to adapt their roles and functions in the AI era and is a crucial prerequisite for catalyzing the transformation of scientific research services, deepening scientific research support, and accelerating S&T innovation. Currently, libraries face various macro and meso challenges in effectively aggregating valuable scientific data to provide support for AI4S. To address these challenges, the following ways can be pursued: defining the roles and functions of libraries in scientific data management; promoting a conducive environment for scientific data management; establishing a collaborative network for scientific data management; and enhancing the service capacity of scientific data management. 4) AI4S and intelligent language modeling for classical literature: AI4S technology can be used to analyze documents and texts, enabling a faster and more comprehensive understanding of a vast amount of historical documents and cultural materials. The development of intelligent language modeling for classical literature represents a significant breakthrough in the field of ancient literature research, bringing new opportunities and challenges. With the increasing popularity of multimodal and generative GPT models in the context of AI4S, the intelligent language modeling of classical literature will focus on integrating diverse information, enhancing adaptability, improving knowledge representation, and addressing a wider range of application scenarios. 5) Library Digital Scholarly Services for AI4S: The concept of using LLM-based AI4S and AIGC to drive the development of smart libraries is consistent with the vision for digital scholarly services in libraries, and presents both opportunities and challenges. Given the trends towards AI4S platformization and the characteristics of "middle-end" digital scholarly service, as well as the longstanding tradition of libraries in serving scholarly research, the reengineering path for the library's digital scholarly services platform includes three approaches: building an AI4S service platform independently, purchasing and utilizing third-party AI4S platforms, and promoting embedded knowledge services as a component of scientific intelligence. This innovative approach addresses the dilemmas of financial resources, human resources, cognitive and practical gaps, and emphasizes the importance of user needs in the AI4S environment. It also focuses on knowledge organization and service delivery to meet user needs in the AI4S landscape. 6) Historical evolution and logical structure of the scientific intelligence paradigm (AI4S): AI4S is a scientific paradigm change dominated by the full application of AI technology to various disciplines, and its logical structure includes "data+model"-driven, knowledge ecology created by machine conjecture, and application scenarios expanded by algorithmic thinking. In the era of digital civilization, AI4S-driven scientific progress and social development must carry forward the value of science and technology for the good, effectively select the theoretical arguments and proposals for extending AI4S to the field of social sciences and humanities, and improve the series of mechanisms for integrating human decision-making and machine intelligence. 7) Development opportunities and prospects of AI4S in the era of generative AI: With the advances in generative AI, pre-training algorithms and large-scale pre-trained models have provided significant opportunities for AI4S in various disciplinary domains. These technologies have shown immense potential and value for applications in diverse fields such as industrial inspection, robotics, and medicine. Additionally, it is crucial to emphasize the importance of key factors such as the constraints of technical implementation conditions for large pre-trained models, the sustainability of data/computing resources, and the transparency, fairness, and accessibility of the technology.

[Purpose/Significance] The continuous development of metaverse technology marks the transition of mankinds from information society to information civilization. How to understand the relationship between human beings, physical space and information space in the future society has become a key problem of the era. The mixed reality (MR) Technology is a new intelligent technology that integrates the advantages of augmented reality (AR) and virtual reality (VR), makes virtual objects coexist in the physical world, and integrates the functions of human perception, computer processing and environmental input. The new generation of MR technology has improved the traditional global understanding of digital reality interaction, and also has been bringing technological innovation opportunities for the development of smart libraries. Exploring the new application scenarios of MR technology is helpful in expanding the depth and breadth of the research on smart libraries. [Method/Process] By using the methods of literature review, content analysis and website analysis, this paper reviews the current research status of MR Technology in the field of library science at home and abroad. In addition, through practical cases, this paper summarizes the relevant experience and existing gaps in the application of MR Technology in domestic and foreign libraries. Therefore, it is clear that the research of this paper aims to further stimulate and release libraries' demand and potential for MR Technology. Specifically speaking, by examining the characteristics of high realism, more intelligent and omni-directional MR technology, this paper further explores the ability of smart libraryies in four dimensions of service, knowledge, experience and collaboration, which will contribute to building a new application scenario of smart libraries with the vision of MR technology. It is hoped that this paper can promote the formation of a new type of smart libraries that combines dynamic and static, actively data, blending virtual-real and multi-dimensional expansion. [Results/Conclusions] In the wave of rapid innovation of VR, the construction of smart libraries should be considered in four dimensions: problem orientation, theoretical supports, talent management and subject co-creation. It can provide a better understanding of the future smart libraries with the possible risks, urgent internal and external needs. It is expected to build a future ecological picture of the integration of smart libraries and MR technology. However, due to the limitation of the author's knowledge level and the lack of practical ability, this paper provides a relatively macro guidance. Libraries vary in their application of MR technology. On specific issues, we need specific analysis and different solutions. Therefore, in the future research, we will continuously improve and refine the research in this aspect, and provide reference basis and application value for the effective practice of MR technology in the smart libraries.

[Purpose/Significance] Investigating the influencing factors in the general requirements of public digital cultural service in Fujian Province can provide reference for its sustainable development in this field. Referring to the previous research, this paper took the lead in using the binary logistic regression model to study public demand for digital cultural services in Fujian Province, and selecting universities in Fujian Province as the research object. It provides a significant practical reference basis for the construction of public digital cultural service in Fujian Province, and also has a certain theoretical reference value for research related to public digital cultural service. [Method/Process] Culture is related to people's well-being and the all-round development of people. In order to meet the people's growing need for a better life and protect the people's basic cultural rights and interests, there are more urgent requirements. Public digital cultural service, in the form of digitalization, breaks the restrictions of time and space, and serves as an important magic weapon to get through the "last mile" of public cultural service and improve the accessibility of the service. Digital construction helps to enhance the accessibility of public cultural service, improve the coverage and dissemination efficiency of the service, and promote public cultural participation. On the basis of the relevant literature, the article intends to discuss the impact and mechanism of public digital cultural service, that is, which factors have an impact on public cultural needs? How do these factors affect the public digital cultural service? What is the impact? Under what conditions is the impact more significant? This study was carried out by combining the methods of literature survey, quantitative and qualitative analysis, and obtaining sample data of users through the questionnaire to analyze the statistics with the SPSS 21 software and verify relevant research hypotheses and regression models. [Results/Conclusions] It is found that resource, subject, platform, infrastructure, and service efficiency can effectively strengthen the requirements for the public digital cultural service in Fujian Province. In view of this, we suggest establishing diversified platforms for digital service, integrating cultural resources, enhancing the establishment of service personnel, strengthening promotion and popularization, optimizing the facility and equipment of public culture, and improving the environment of the places. In the analysis of the influencing factors of public digital cultural service, this study is not comprehensive enough. In the future, it is possible to sort out the factors affecting public digital cultural service more comprehensively, and a more comprehensive sample can be used in our study.