[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] The study aims to construct an early warning model of public opinion risks based on government-citizen interaction data, guided by evidence-based decision-making theory. We seek to uncover the governance value embedded in such interaction data, providing new insights and methods for identifying and managing potential public opinion risks. Traditional methods of monitoring public opinion often rely on subjective judgment, leading to potential bias and inefficiency. In contrast, this study uses objective, data-driven techniques to improve the accuracy and reliability of risk predictions. By integrating evidence-based decision making with public opinion analysis, the study not only advances the theoretical framework but also provides practical tools for government use. This innovation is significant as it addresses the gaps in the current literature regarding the objective assessment of public opinion risks and their impact on governance, thereby contributing to the field of public administration and social governance. [Method/Process] The research methodology involves a multi-step process, starting with the identification of key indicators of public opinion risks. These indicators include appeal purpose, text length, sensitivity, emotional tendency, and degree of aggregation. The analytical hierarchy process (AHP) and the criteria importance through intercriteria correlation (CRITIC) method were employed to calculate the weight of each indicator. AHP, a subjective weighting method, uses expert judgement to construct a judgement matrix and determine indicator weights. However, to reduce subjective bias, the CRITIC method is integrated, which objectively determines weights based on the variability and conflict in the data. The model's workflow began with problem identification, which captures the issues that government officials want to address through public opinion monitoring. Data were then collected from various channels, such as the "12345" government service hotline, government Weibo accounts, and official email inboxes. The risk identification phase involves the construction of a public opinion risk identification index system to identify potential risks in the data collected. This is followed by a risk assessment, where the weight of each indicator is calculated, and the risks are classified into different levels. Finally, decision recommendations were provided based on the risks identified and their urgency. The model was validated using government-citizen interaction data from Suzhou as a case study. The results of the analysis were closely aligned with the future priorities of the Suzhou municipal government, fully demonstrating the model's effectiveness and reliability of the model for early risk warning. [Results/Conclusions] The study concludes with the validation of a feasible and practical early warning model for public opinion risks. The model was tested using interaction data from the Suzhou municipal government's official website, demonstrating its effectiveness in identifying and predicting public opinion risks. The results show that the model can accurately assess the severity of risks and provide timely warnings, helping government decision-makers to manage risks proactively.

[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] The "15th Five-Year Plan" defines the development direction and strategic choice for Chinese libraries in the next five years. It is based on China's national conditions and serves the characteristic development of Chinese libraries. Against the backdrop of the Chinese-style modernization, this paper explores how libraries can achieve high-quality development under the changing internal and external environment, with the aim of grasping the development direction of Chinese libraries and offering a construction path for the scientific formulation of the "15th Five-Year Plan". [Method/Process] A library strategy is an action plan based on a comprehensive and in-depth analysis of the Chinese libraries' internal and external environment. Environmental scanning is a fundamental part of strategic library planning. It implies that the libraries adapts to environmental changes by seeking and using external information. The formulation of the library strategy must start from the current situation, identfiy external environmental changes such as those in the political, economic, social, cultural and technological spheres, and track responses and developments. Using the research method of environmental scanning, this paper traces the dynamics of the social environment at the macro level, the business environment at the medium level, and the system environment at the micro level, and analyzes the practical demands of the society at the macro level, the medium industry at the medium level, and the library readers at the micro level. [Results/Conclusions] Chinese-style modernization embodies both conceptual and discursive innovation. As an ideological discourse, it has four layers of meaning: socialist modernization, independent modernization, modernization for the comprehensive rejuvenation of the Chinese nation, and modernization that creates a new form of human civilization. This article is guided by the theory of China's modernization and has set the main goal for the construction of China's modern libraries. It emphasizes the leading role of the concepts of "people-oriented" and "efficiency", and focuses on the three major development priorities of "professional and stable development", "intelligent transformation", and "building a national library service network". Finally, it proposes the four modern systems of "the cooperative governance system for libraries of all kinds", "the next-generation knowledge sharing and service system", "the cultural dissemination and social service system", and "the library security and guarantee system". The goal of the Chinese-style modern library is to build a national library service network that is both deeply professional and highly intelligent, organically integrating specialization and intelligence. First, to ensure the specialization of library services, then realize the wisdom to broaden the service boundary, and finally build a national library service network. A cultural communication and social service system should be built in accordance with the macroscopic social needs. A collaborative governance system should be established based on the needs of library development. A new generation of knowledge sharing and service system should be established according to individual needs. The establishment of the support system ensures the successful development of the "15th Five-Year Plan". We should consistently integrate the above three key priorities throughout the four modern systems.

[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.