Abstract: [Purpose/Significance] Currently, universities are facing both opportunities and challenges brought by artificial intelligence (AI), as well as dual pressures in the construction of "Double First Class" universities. Achieving the assistance of AI in cultivating high-quality talents and building high-quality disciplines is of great significance. [Method/Process] From the perspective of (soft) knowledgeization and knowledge services, this paper took a problem-oriented approach to analyze artificial intelligence and “soft knowledgeization” of higher education., and reveal its essential symbiotic relationship with AI, based on the real challenges faced by universities, the priority of talent cultivation, the distinctive characteristics of soft knowledge that influence students and faculty, and the competitive dynamics among administrators, educators, and students. Based on the cultivation of soft knowledge talents as the inevitable choice and breakthrough for universities to alleviate dual pressures, the study analyzed the mission of soft knowledge talents cultivation and proposed a knowledge service system to support this educational approach. [Result/Conclusion] By implementing customized educational strategies grounded in knowledge services, fostering open collaboration, and integrating liberal arts and sciences, universities—particularly undergraduate institutions—can improve the quality of talent training. This approach aims to develop unique, competitive individuals equipped with strong soft knowledge and nurture high-end innovative talents with a robust foundation in both liberal arts and sciences. Ultimately, this strategy promotes sustainable development amid dual pressures competition, contributing to the cultivation of talents essential for high-level security and quality development in the era of artificial intelligence.

Abstract: [Purpose/Significance] Information disclosure is an inevitable requirement for the response to public health emergencies and the construction of a transparent government. Its disclosure way has a very important impact on the public's timely, comprehensive and accurate access to information. [Method/Process] Firstly, through literature review and public interview, combined with national information disclosure regulations, 17 major ways of public health emergency information disclosure were sorted out. Second, the public needs were collected based on the questionnaire designed by Kano model, and the public needs were divided into four categories according to the maximum frequency method. Then, based on the hierarchy of needs analysis, mixed class analysis and Better-Worse analysis, the way of information disclosure is deeply explored. [Result/Conclusion] Through demand level and mixed class analysis, government websites, Weibo, SMS, TV rolling subtitles and important news push are necessary requirements; short video, media platform, radio, TV, information bulletin boards and electronic information screen are attractive demand; the government's official WeChat account, press conference and government hotline are public expectation requirements; Weibo, SMS, TV rolling captions and important news push are mixed requirements. Finally, the importance and priority of various project elements from the Better-Worsedimension are analyzed. This study provides a basis for the selection of public health emergencies information disclosure methods, and is of great significance to further improving the information disclosure mechanism of public health emergencies.

Abstract: [Purpose/Significance] The new era shows distinctive knowledge-based features. Enterprise innovation is the cornerstone of high-quality development, this paper aims to analyze the opportunities and challenges of human resource management in the new era, analyze hard and soft knowledge and their roles in terms of enterprise’s R&D and management innovation from the perspective of all-around innovation, and build a pagoda structure of enterprise innovators and innovation results. [Method/Process] Concerning the whole process of R&D in the enterprise of "research, design and development, processing and manufacturing", the innovation potential of front-line employees and their value, role, and contribution were analyzed from the perspective of soft knowledge, and then a knowledge-based human resource management structure was proposed. [Result/Conclusion] This study serves to enhance the knowledge-based level of enterprise innovation, make the foundation of the innovation pagoda structure stronger and more stable, solve and alleviate the front-line paradox, and realize the high-quality development of the last kilometer of enterprise research and development.

Abstract: [Purpose/Significance] National high-quality development, construction of China's modernized economic systemscientific, technological development and prosperous development of social sciences all require scientific social science research management. [Process/Methodology] Focusing on the problem of social science research management that favored science thinking and ignores liberal arts thinking in practice and its involutional manifestations, the principle of individual-organizational choice and the principle of rule-ethical choice were analyzed to fit the needs of social science research management. The social science research based on value rationality of liberal arts thinking was compared with the natural science research based on instrumental rationality of science thinking to explore the role of liberal arts thinking in the management of social science research. [Results/Conclusions] Taking soft knowledge as the core and handhold of management, changing the concepts from researchers, research process, research results and talent cultivation service and evaluation, returning to the liberal arts thinking and according to the characteristics of social sciences and their scientific research, this paper proposed the idea and method of social science research management based on soft knowledge service and evaluation. It will be beneficial to the creation of an excellent scientific research culture, the rising enthusiasm of researchers, and cultivating of talents who can generate scientific achievements and new thoughts. It not only serves the development of social economy and science and technology, but also serves the prosperity and development of social science.

Abstract: [Purpose/Significance] With the progress of social civilization, social science and research are becoming more and more important. Theoretically and practically, the study of social phenomena and social problems and the development of prosperous social sciences are the eternal themes of human beings. At present, social science research and achievements can hardly meet the needs of social and economic development, especially the problem of unscientific evaluation of social science results, which has aroused great concern from all walks of life, and has generated sickness and doubt in social science, which in turn has affected the development of social science. [Method/Process] Based on the knowledge management perspective, this paper rethinks the evaluation of social science achievements in terms of the meaning of social science and the characteristics of social science research. [Result/Conclusion] In order to correctly understand social science research and its achievements, a new reflection on the evaluation of social science has been proposed which consists of evaluation principles, evaluation perspectives, evaluation priorities, evaluation systems, and evaluation indexes.

Abstract: [Purpose/significance] Under the environment of the new development stage, new development concept, and new development pattern, the traditional business environment cannot meet the needs of enterprises, especially the real economy enterprises, small and medium-sized micro-enterprises, and private enterprises to develop. [Method/process] This paper applied knowledge management theory and considered the business environment as an innovative knowledge product and knowledge service system to analyze the knowledge management characteristics of a socio-economic system integrating knowledge innovation and knowledge service from the perspective of knowledge innovation and knowledge service, and constructed a general business environment including macro-micro levels and the internal environment of enterprises, which will provide the condition of enterprise development, especially the real economy enterprises, small, medium and micro enterprises, and private enterprises, as well as the development of green, high-quality and digital economy to provide a good business environment and systematic business knowledge services. [Result/conclusion] The general business environment is both innovative in knowledge management and can be used to solve the bottleneck problems caused by the business environment.

Abstract: [Purpose/Significance] The objective is to gain a comprehensive and in-depth understanding of the research dynamics and development trends in the field of digital academic services in Chinese libraries, ultimately providing a reference for enhancing the value and contribution of libraries in the academic research ecosystem. [Method/Process] Using the literature survey method to map and analyze the research on digital academic services of Chinese libraries and the scientific research life cycle from 2021 to 2025, the main research content is summarized from two major dimensions: the design of the digital academic service system and the practical approaches. Building on this foundation, and incorporating the new demands generated under the fifth research paradigm and a new stage of development for smart libraries, the future development direction and key areas of focus for digital academic services in libraries were further explored. [Result/Conclusion] The design of the digital academic service system for libraries primarily encompasses two aspects: service framework and service strategy. In terms of practical paths, a comprehensive collection of digital academic services has been established, centered around consulting decision support services, scientific research data services, AI intelligent assistance services, academic publishing services, digital humanities services, and various personalized services tailored by libraries based on specific needs. Given the characteristics of data-intensive, open science, and intelligent technology-assisted scientific research, libraries should prioritize industry trend prediction and research, implement the "theory-practice-new theory" cycle service, reconstruct the library's core capabilities and intelligent service system, precisely plan service projects closely related to users, and promote user experience optimization and continuous innovation in library services.

Abstract: [Purpose/Significance] The human-AI co-creation of digital painting is prevalent in digital humanistic art works, yet the impact of authorship on the perception of digital humanistic works co-created by human and AI remains unclear. This study aims to investigate the influence of authorship on the perception of digital painting and the regulating role of culture, in order to reveal feedback on the use of AI-generated content, providing direction for human-AI co-creative research. [Method/Process] The study employed a mixed experimental design: 4 (authorship: human/AI/human-led co-creation/AI-led co-creation) × 2 (cultural background: native/non-native). Forty-eight participants were divided into two groups and viewed four digital painting works of the same genre but with different authorship origins. Their perceptions of the works were assessed using scales that measured perceived quality, spatial presence, perceived imaginativeness and empathy. [Result/Conclusion] The study reveals participants demonstrated a vigilance mechanism towards AI when perceiving the abstract attributes (perceived imaginativeness and empathy) of digital paintings, with a more pronounced presence in empathy than in perceived imaginativeness. Furthermore, culture plays a regulating role in the impact of authorship on empathy of digital painting.

Abstract: [Purpose/Significance] To explore the characteristics and inherent rules of health information interaction behavior among young social media users, and provide measures and solutions for social media intervention in users' positive health behavior. [Method/Process] In this paper, by collecting interview data, log files, experimental video data and Xiaohongshu note data, and adopting the data analysis methods of grounded theory and text mining, an in-depth analysis was conducted on the characteristics of young social media users' health information acquisition behaviors, the logic of health information quality evaluation, and the patterns of health information retrieval behaviors. And based on Engeström's Activity Theory and Kuhlthau's Information Search Process Model, an activity model of the health information retrieval behavior patterns of young social media users was constructed. [Result/Conclusion] The following conclusions were drawn: The sources from which young social media users obtain health information exhibit the characteristics of diversified choices that are mainstream-oriented and demand-driven. The ways in which they pay attention to health information content are mostly demand-based retrievals triggered by recommendations, and the categories of attention fall into multiple core areas of concern. Young social media users' evaluation paths for health information quality follow a dual path of subjective cognition and objective perception. The basis for judging the trustworthiness of health information is a collaborative inspection-style information assessment through the convergence of content and the consensus of comments, and the evaluation method of health information is based on the principle of the minority obeying the majority.

Abstract: [Purpose/Significance] Discovering research questions and methods from a vast corpus of scientific literature contributes to uncovering research trends, promoting innovation technical approaches, and exploring patterns of knowledge evolution and dissemination in scientific research. [Method/Process] This paper proposed an integrated model for the joint extraction of “Problem-Method” pairs in scientific literature, combining syntactic structural information and semantic relationships. The model employed an encoder-decoder architecture. At the encoding stage, we focused on the abstract text of scientific literature, extracting Subject-Action-Object (SAO) triplets to represent the relationship between research questions and research methods (i.e., research method - acts on - research question). We constructed a semantic association graph based on SAO triplets and utilized Graph Attention Neural Networks (GAT) for encoding. The resulting encoding, combined with the abstract text, serves as input features for the decoder. At the decoding stage, a pointer network was used to extract research questions based on previously extracted research methods, enabling the joint extraction of “Problem-Method” pairs. [Results/Conclusion] Experiments indicate that our model performs well in terms of evaluation metrics and human assessment, enhancing the ability to extract core research questions and methods from the scientific literature.

Abstract: [Purpose/significance] Using the WeChat Communication Index(WCI) and the fuzzy comprehensive evaluation, this paper evaluates the influence of WeChat public account for postdocs in China in order to enhance the user experience and the comprehensive influence of the platform，and provide reference for the operation and development of other “minority” government WeChat public account. [Method/process] This paper evaluated the influence of WeChat public account for postdocs in China by WCI , and got the year WCI=495.10.Then, it applied the fuzzy comprehensive evaluation to evaluate the influence of WeChat public account for postdocs in China, and used the MATLAB 2016 to calculate the model of Ⅰ(·,+),Ⅱ(∧,∨), Ⅲ(·,∨) andⅣ(∧,+). [Result/conclusion] This paper gets the evaluation is good by the principle of maximum membership degree, the evaluation score is 69.57-77.06, which belongs to superior middling in the same kind of government WeChat public account. The evaluation results of WCI and fuzzy comprehensive evaluation are basically the same.

Abstract: [Purpose/Significance] Public digital cultural resource platforms possess unique advantages in cultural resource integration and service. They are crucial tools for public cultural institutions such as libraries, museums, and archives to activate their resource advantages and enhance service levels. Investigating and summarizing the advanced experiences of mature cases can provide recommendations for the construction of related projects in China. [Method/Process] This study selected domestic and international Public digital cultural resource platforms, investigated and analyzed their resource preservation and service methods, and focused on the advanced explorations of the Europeana project in resource organization models, technology, and digital cultural resource services. Then, it proposed relevant optimization paths suitable for local projects. [Result/Conclusion] The research finds that standardized linked data models, systematic resource integration networks, and open and diverse service models are key factors contributing to the success of the Europeana project. Local projects should draw on relevant experiences and continuously improve in standardizing data formats and updating service concepts.

Abstract: [Purpose/Significance] This study systematically investigates the impact of government microblog collaboration on public participation behavior in natural disaster crisis situations, in order to help the government respond to sudden crisis events more effectively and collaboratively, and promote the active participation of the public. [Method/Process] This study takes the “Beijing-Tianjin-Hebei Rainstorm” in 2023 as an example, and analyzes 625 blog posts and 9426 user comments from 5 typical national government microblogs, and establishes a theoretical analysis framework of collaborative functions, collaborative departments, and collaborative levels in the light of the theory of holistic governance. At the same time, we combine the public participation ladder model to explore the public participation behavior and the level of participation. Qualitative content coding, machine learning, statistical analysis, and other methods are comprehensively applied to reveal the collaborative features of government microblogs and the correlation with public participation behavior. [Result/Conclusion] The results of empirical analysis show that the collaboration of government microblogs is mainly among governmental organizations at the same level and with the news media, and the collaborative functions are information synergy, call for action and emotional connection, and the collaborative features have the characteristics of time stage. Emotional interaction is the most prominent behavior in public participation. When government microblogs synergize with a clear call to action, they are more likely to inspire higher levels of public participation.

Abstract: [Purpose/significance] From the perspective of industry chain, this paper takes virtual reality technology as an example, constructs VR patent industry chain corpus, and explores the technical theme, research and development hotspot and future development trend of China VR patent. [Method/process] First of all, this paper used Python to crawl the patent text in VR field and got effective corpus through data cleaning. Secondly, combining IPC classification number and K-means clustering algorithm, this paper constructed and validates VR patent industry chain. In addition, based on TF-IDF algorithm and LDA theme model, we identified the core technology themes and their comprehensive strength, technology research and development hotspots and future trends of China VR patents from the perspective of production chain. [Result/Conclusion] At present, the proportion of patents in each link of China VR industry chain is unbalanced. The upstream link is the most popular, followed by the downstream link, and the weakest link is the midstream link. In terms of theme mining, the upstream hot spot is software development, the midstream hot spot is film and television production, and the downstream hot spot is medical, educational and entertainment applications. In terms of future trends, the upstream of the industrial chain will be dominated by technologies such as electronic digital data processing, optical components, image communication, etc., the midstream will be dominated by technologies such as vehicle components, power devices, damping devices, etc., and the downstream will be dominated by technologies such as indoor games, medical diagnosis, identification, etc..

Abstract: [Purpose/significance] Summarizing and exploring the path of open government data empowerment and value enhancement can enrich the theoretical basis in this field, and open up channels for the integration and utilization of open government data to value enhancement, and provide reference for the current stage of open government data resource construction and social environment construction . [Methods/process] Based on the analysis of the data usage and related policy releases of the open government data platform website, this paper explored the basic path of open government data empowerment and value enhancement from the three aspects of data, policy and market drive, and proposed future development strategies. [Results/conclusions] The basic internal and external driving paths of open government data empowerment and value enhancement can be divided into the following three types: data appreciation, policy release, and market promotion. And specific strategies that can be implemented at the emergence stage are proposed, that is, to release the value of open government data, increase the utilization efficiency of open government data, and build a open government data value enhancement strategy system that can be used for three purposes.

Abstract: [Purpose/significance] With the advent of the era of paid knowledge, how to encourage high-quality content creators to contribute paid knowledge actively has become a problem for social Q&A community needs. Research on users' continuous knowledge contributing behavior is conductive to open new knowledge-paying market, and has practical significance for community long-term development. [Method/process] This paper regarded the social Q&A community Zhihu Live speaker as the research object. Based on motivation theory and perceived value theory, we explored the impact of social Q&A community users' paid knowledge contributing continuously factor through the negative binomial regression of real user data. [Result/conclusion] Live material rewards, psychological rewards, social capital, and the identity of the "pay for knowledge" concept have a significant positive impact, and the cost of knowledge compilation and users’ identity in community groups have a significant negative impact. High-threshold paid knowledge contributing behavior is not conducive to users' altruistic beliefs and self-efficacy.

Abstract: [Purpose/Significance] In recent years, the concept of open science has been widely recognized and highly valued by governments. Many foreign universities and research institutions have incorporated open science into their scientific research management systems, and have carried out a large number of open scientific research work, which has achieved significant economic benefits. [Method/Process] This paper systematically reviews the cost estimation research of open science at home and abroad, and summarizes that the cost estimation research of open science mainly includes three aspects: scientific research funding institutions, scientific researchers and scientific research projects based on the open scientific research system, and systematically analyzes the measurement objects, calculation methods, quantitative benefits, monitoring and evaluation, etc. [Result/Conclusion] At present, scholars pay more attention to comprehensively evaluating the impact of open access/science on traditional scientific research funding, economic cost, knowledge diffusion, and discipline development, but there are also some shortcomings. In the future, research on the innovation of open science cost estimation, in-depth analysis of the impact of policy implementation, and comparative research on the practice of open science in different disciplines can be carried out.