[Purpose/Significance] The aging of the Chinese population is an issue that is becoming increasingly salient. The considerable migration populations from urban to rural areas has exacerbated the aging process in rural regions of China. In recent years, the Chinese government demonstrated a commitment to addressing the urban-rural disparity, with a particular focus on enhancing the living standards of the elderly people in rural areas. However, given the substantial elderly population base, there may also be disparities in the information needs of the elderly across regions with varying degrees of economic development. The objective of this study is to provide insights into the information demand and supply of elderly people in rural areas, promote elderly care information services in rural areas, and enhance the quality of life and well-being of elderly people in rural areas, thereby promoting rural revitalization. [Methods/Processes] This study conducted survey and interview, investigating the motivations for information seeking, the information sources utilized, the information needs and satisfaction, as well as difficulties encountered in the process of obtaining information. Based on Maslow's hierarchy of needs theory, we investigated the information demands of elderly people from five aspects: physiological, safety, emotional, esteem, and self-realization. This study conducted a field survey in C Village, Taiyuan City, Shanxi Province, and collected valid questionnaires from 109 elderly people. At the same time, two village committee staff members were interviewed, and online information such as government websites was also collected. [Results/Conclusions] The findings indicate that rural elderly people primarily obtain information for entertainment and adaptation to the social environment. Rural elderly mainly acquire information through the utilization of personal networks, namely family members, television broadcasts, neighbors, and friends. Nonetheless, the elevated demand and high satisfaction represent physiological information needs, while the high demand and low satisfaction category focuses on safety and emotional information needs. Elderly people are easily constrained by their physical health status and information literacy when seeking information. At the same time, the insufficient level of regional economic development and investment in public cultural facilities serve as impediments to rural elderly people's access to information. Besides, from the perspective of information supply, the roles and collaborative mechanisms of government departments, village committees, social organizations, and families as the primary providers must be reinforced. A model of information demand and supply service for rural elderly people is finally constructed from the perspective of multiple subjects. It demonstrates that government departments play an important role in ensuring and providing support for elderly care services in terms of policies, funding, and management. The village committee fulfills a coordinating, monitoring, and service role, while enterprises and social organizations serve as supplementary forces for elderly services in rural areas. Families are an important support for promoting the upward mobility of elderly information needs. and relevant countermeasures are proposed. In conclusion, this study proposes recommendations concerning the role of multiple subjects in addressing information needs characterized by high demand but low satisfaction. Suggestions have been put forward to improve economic and health levels in response to low demand and low satisfaction of information needs. Efforts should be made to strengthen the multi-agent collaborative mechanism, improve the information acquisition ability and quality of life of rural elderly people, and narrow the gap between urban and rural elderly care services.

[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] In promoting red resources, libraries face problems such as "low reading rate of resources", "low public participation" and "low level of innovation in service". To some extent, these problems stem from the neglect of embodied cognition. The essence of embodied cognition is that cognitive process is not only the activity of the brain, but is inseparable from the perception and interaction of the body. Applying the theory of embodied cognition to reading can enhance the sense of immersion and participation in reading, thus optimizing the reading effect of red resources. This study explores the application and optimization path of VR technology in reading red resources from the perspective of embodied cognition. By enhancing users' immersive experience, it promotes their deep cognition and emotional resonance of red resources in order to promote the innovative utilization and efficient dissemination of red resources. [Method/Process] Taking the grounded theory as the research method, we first carry out data collection and sample selection, then analyze the text materials through the three-level coding method of open coding, axial coding and selective coding, and finally randomly select one third of the samples from the materials to carry out the saturation test of the theoretical model, summarize the three main categories of reading guarantee mechanism, reading ecology and reading experience optimization, and construct the optimization of the VR red resource reading path model, and elaborate the model in detail. [Results/Conclusions] It is found that reading guarantee mechanism, reading ecology and reading experience optimization have a positive effect on promoting the continuous optimization in reading VR red resources. Among them, reading guarantee mechanism plays a fundamental role, providing basic support for the whole VR red resource reading system. Reading ecology plays the role of a bridge, transforming the support of reading guarantee mechanism into the actual experience of users. The optimization of reading experience plays a goal-oriented role, and its realization depends on the results of the reading ecology practice, and through the feedback mechanism to promote the progress of the whole system. The interaction of these three main categories forms a dynamic feedback loop, ensuring that the VR red resource reading system can be continuously optimized with the development of technology and changes in user needs, and promoting the continuous innovation and optimization of VR red resource reading methods. This study relies mainly on secondary data and case studies, and lacks the actual feedback from users in real-life scenarios, especially the individual differences in user experience have not been fully explored. In future research, in-depth interviews will be introduced as a complementary means to further explore the individual experience of users in reading VR red resources, especially the specific application scenarios of embodied cognition theory.

[Purpose/Significance] In the context of China's commitment to the development of the data element circulation market, the governance of the data black market has emerged as a pressing issue that demands urgent attention. The purpose of this paper is to discuss the implementation of the operating law of the market economy, the utilization of the interaction of multiple parties with interests in the data circulation market to achieve meaningful participation in the governance of data service providers, the curbing of the black market trading of data elements, and the achievement of the goal of reducing the government's management costs and helping the data trading market to break through the black market shroud. [Methods/Processes] A four-party evolutionary game model is used to simulate the dynamic interaction strategy choices and the results of evolutionary stabilization strategies of data service providers, data enterprises, data black market participants and regulators in data factor circulation configuration. The study explores the conditions necessary for transforming data service providers into active participants to validate the effectiveness of the data service providers' participation in the governance mechanism. The study also discusses the methods by which the goal of enhancing the effectiveness of the data service providers' participation in the governance mechanism may be achieved. This is accomplished through the design of multi-party interaction mechanisms, and the input-output ratio of the participation governance mechanism in curbing black market trading. [Results/Conclusions] The simulation results demonstrate that by designing mechanisms in four aspects: policy, reputation, cooperation, and punishment, the participation governance mechanism of data service providers can reduce the regulatory pressure on data black markets, enhance policy flexibility, and minimize governance costs. In particular, the effect is most significant when both data service providers and data enterprises pursue long-term cooperation and reputational benefits. Specifically, 1) policy support can stimulate the potential and motivation of data service providers in governing black markets. 2) Under the reputation and cooperation mechanism, the participation of data service providers in the governance mechanism can not only help the regulator and enterprises to reduce the regulatory pressure, but also enhance the willingness of data enterprises to take the initiative in combating black market transactions and form the synergy of multi-party collaborative governance. 3) Adequate government regulation and a suitable system of sanctions can ensure the effective participation of data service providers in the governance of the black market, and ensure that the participation of data service providers in the governance and government regulation forms a synergy. Accordingly, the design and maintenance of the mechanism for data service providers' participation in governance is proposed, covering four aspects: an incentive mechanism, multiple forms of cooperation, a penalty mechanism, and technical guarantee.

[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] 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.