[Purpose/Significance] New quality productive forces is the latest pattern of productivity development under the background of data-driven intelligence. To explore the mechanism and practical way of bidirectional empowerment of knowledge service and new quality productive forces has important theoretical and practical significance for giving full play to the effectiveness of new quality of data elements, new power of digital intelligence technology and new application of intelligent service, so as to promote the cultivation of new quality productive forces and improve knowledge service. [Method/Process] Based on the summary of the development process of knowledge service and the new interpretation from the perspective of new quality productive forces, this study analyzes the internal relationship and external manifestations of the bidirectional empowerment of knowledge services and new quality productive forces, constructs the bidirectional empowerment mechanism of knowledge services and new quality productive forces, and proposes the bidirectional empowerment path. [Results/Conclusions] "Factor reorganization, scientific and technological innovation, and quality service" has become the internal relationship between knowledge service and new quality productive forces. Data factor as the core production factor, digital intelligence technology as the key production technology, and intelligence-driven new business forms and new models as the common carrier, which is an important basis for intelligent knowledge service and new quality productive forces bidirectional empowerment mechanism. Intelligent knowledge service cultivates the new quality productive forces through three important ways: accelerating scientific and technological innovation, opening up new ways and creating new business forms. New quality productive forces drives the development of intelligent knowledge service and improves the service by solving the resource dilemma, technology dilemma and talent dilemma, and creating new competitive advantages. This is an important manifestation of the bidirectional empowerment mechanism of new quality productive forces and intelligent knowledge service. After clarifying the empowerment basis and the performance of the bidirectional empowerment mechanism, this study proposes that the two kinds of empowerment should be realized from the following four aspects: a) Taking the market demand as the guide by mining new value and responding to new demand, and grasping the new quality growth engine; b) Taking data elements as the center, the compacting intelligent driving base is realized by building the data element empowerment system and improving the standardization of element utilization; c) Taking technological innovation as the key way by releasing the potential of key elements and creating fusion application scenarios to consolidate the foundation of fusion application; d) Starting from the application scenario as the starting point, the bidirectional empowerment mechanism is put into practice in various fields.

[Purpose/Significance] Talent data have become the most important production factor and strategic resource. Building a scientific and technological (S&T) talent database has become an inevitable way to narrow the digital divide and accelerate the digital and intelligent transformation of talent work. Therefore, this study builds an S&T talent database to promote scientific decision-making for talent development, precision in attracting new quality technical talent, reform in evaluating S&T talents, and building talent system for new quality productive forces. [Method/Process] By analyzing the practical requirements and significance of building an S&T talent database, this study first explores and analyzes the intrinsic logic of promoting the development of new quality productive forces through an S&T talent database. It then summarizes the challenges facing the current construction of a S&T talent database, including the scattering and concealment of S&T talent data, the lack of policies and standardized systems for S&T talent data, the inadequate exploration of value-added S&T talent data, the need to expand the application of digital technology in talent work, and the security risks of S&T talent data. In response to these challenges, this paper finally proposes the idea of building an S&T talents database, and introduces the research exploration and application practice on it, including the construction of big data database for S&T talent aimed at the development of new quality productive forces, the development of AI-powered talent data computing engine, research into the system for profiling new quality technical talent, the analysis of talent growth paths for the training of new quality technical talent, the identification method of new quality talented professionals based on big data, the development of an efficient digital platform for talent management, and the development of a strategic analysis platform for technical talent. [Results/Conclusions] The construction of S&T talent database is an objective requirement for the development of the digital era and an inevitable requirement for the formation of new quality productive forces. Building big data for S&T talent, empowering talent workflow with big data and artificial intelligence technology can help empower talent workflow, release the enormous energy contained in digitalization, effectively activate the internal momentum of talented professionals, institutions, society, and government, and then continuously improve the efficiency of talent resource allocation, the operational efficiency of talent work, the overall effectiveness of talent development governance, and promote the development of new quality productive forces.

[Purpose/Significance] Identifying key core technologies helps to clarify the direction of future efforts, optimize the allocation of innovation resources, accelerate the breakthrough of key core technologies, and promote the development of new quality productive forces by cultivating new types of workers, updating new types of means of labor, and expanding new types of subjects of labor. [Method/Process] Given the importance of key core technology identification in empowering the development of new quality productive forces, the research clarifies the connotation and extension of the key core technologies, and investigates the qualitative and quantitative identification methods of key core technologies at home and abroad. Quantitative methods are divided into three categories: indicator evaluation, social network analysis, and text mining. A comparative analysis of the advantages and disadvantages of each method are reviewed, and the overall shortcomings and problems of existing identification methods are summarized. Based on the analysis of the practical requirements and significance of breakthroughs in key core technologies, this study delves into the inherent logic of identifying key core technologies, which enables the development of new quality productive forces. The method of identifying key core technologies can cultivate new types of workers by improving talent management mechanisms and strengthening skills training for workers, New types of means of labor are updated through promoting technological integration and innovation and engaging in industry-academia-research cooperation and expanding new types of objects of labor by developing new production fields and analyzing market demand. In view of the challenges faced in the process of empowering new quality productive forces through the identification of key core technologies, this study proposes a practical way for empowering the development of new quality productive forces through the identification of key core technologies. [Results/Conclusions] Current research on identifying key core technologies is in its early stages and still faces several challenges, including outdated identification methods, inconsistent standards, the complexity of integrating technologies across disciplines, the need for improving accuracy of identification results, the lack of mining and using of multi-source data, and uncertainties in forecasting market demand. These obstacles hinder the process of using key core technology identification to cultivate new types of workers, update new types of means of labor, and expand new types of objects of labor, thus hindering the accelerated development of new quaity productive forces. Therefore, we need to focus on removing the obstacles that hinder the acceleration of new quality productive forces through the identification of key core technologies. A dynamic identification indicator system can be established to support the training of new types of workers, industry-academia-research cooperation can be strengthened to facilitate the updating of new production materials, and industrial development funds can be established to support the expansion of new types of objects of labor.

[Purpose/Significance] Generative artificial intelligence (AI) technology has been widely used in many fields, and the application of this technology has become popular among researchers. However, there are few studies on the willingness of researchers willingness to accept generative AI. This leads to an insufficient understanding of the psychological mechanism, cognitive process and behavioral pattern of users' acceptance of generative AI, which limits the ability of theoretical innovation and practical exploration in user information behavior. This study focuses on researchers acceptance of generative AI. By studying the evaluation process of ChatGPT by college students, it explores the acceptance behavior of generative AI. At the same time, it verifies the applicability of the AIDUA model in the new context, and introduces the new variable of school identity, which further extends the AIDUA model. [Method/Process] Based on the cognitive assessment theory and the AI acceptance framework (AIDUA), this paper constructs a theoretical model of the intention to use generative artificial intelligence, and develops and empirically tests the theoretical model of the intention to use generative AI. Taking college students as the main research object, based on the maturity scale in authoritative literature at home and abroad, 8 variables and 29 observation variables such as social influence, hedonic motivation and anthropomorphism were designed. College students with experience in using generative AI were invited to participate in the questionnaire survey. SPSS26.0 was used to analyze the data from 294 valid questionnaires collected. SmartPLS 3.2.9 was used to construct a structural equation model to test the hypothesis, and the JN method was used to detect the regulatory effect. [Results/Conclusions] The study found that users went through three stages of decision making before using generative AI. The PLS-SEM results show that: 1) Social influence, hedonic motivation and anthropomorphism significantly affect performance expectancy and effort expectancy, and anthropomorphism is the strongest variable affecting performance expectancy and effort expectancy. 2) Performance expectancy and effort expectancy are significantly negatively correlated with negative emotions, while hedonic motivation has no significant effect on negative emotions. 3) Negative emotions are significantly negatively correlated with users' intension to use. 4) School identity moderates the relationship between effort expectancy and negative emotions. This study combines anthropomorphic research on college students' acceptance of generative AI, and provides a framework for the acceptance of generative AI. Researchers can use this framework to better study the acceptance of AI. This study has some limitations. In the future, we will focus on the following three aspects: 1) to evaluate the users' acceptance of generative AI in different usage scenarios. 2) to use samples of other groups to test the applicability of the model, such as civil servants, librarians, researchers and other groups. 3) to incorporate variables from other technology acceptance models into the model, such as ease of use and practicality.

[Purpose/Significance] Aiming at the semantic missing and incomplete problems in the process of image organization and retrieval, a framework for semantic description of images in social media is proposed to enrich the existing theoretical system of image description, improve the efficiency and utilization of image retrieval, and provide a reference for the realization of the automatic semantic annotation of images. [Method/Process] First, we conducted a survey and analysis of research progress related to image description both domestically and internationally, summarizing the existing theories of image description and annotation, metadata specifications, and related technical methods. Second, based on the image metadata standards and the theory of hierarchical and categorical description of image features, we constructed a semantic description framework for social media images, focusing on seven layers: external feature layer, content layer, object layer, relationship layer, scene layer, event layer, and emotional layer. We also elaborated in detail the various semantic layers and their interrelationships. Finally, we verified the feasibility of the image semantic description framework by describing the examples of character images and landscape images. [Results/Conclusions] The results of the descriptive examples of character images and landscape images indicate that the image semantic description framework can eliminate the "semantic gap" in image description through semantic associations between different layers, and achieve a multi-faceted, multi-dimensional, and multi-level structured and semantic description of the external and content features of images. It has strong portability and flexibility. However, there are also certain limitations and areas for improvement in this paper: 1) Based on the image semantic description framework proposed in this paper, a prototype system based on image annotation needs to be developed; 2) The images posted by users on social media are closely related to the situation, and they are more likely to express emotions. In the future, more research on the semantic layer of images can be conducted based on the text information posted by users; 3) Future research can further explore the application of deep learning in image and text fusion to achieve more accurate event and emotion recognition. By constructing a more complex neural network structure, the event and emotion information in the image can be deeply mined and fused; 4) When describing images, the study should pay attention not only to static visual features, but also to consider the dynamic course of events. Future frameworks could attempt to combine static and dynamic information to provide richer, more vivid descriptions of images.

[Purpose/Significance] In order to better realize the goal of digital transformation of education and digital transformation of university libraries, university libraries should strengthen the team building of high-level and high-quality librarians, so as to improve librarians' digital literacy levels and serve the independent training mode of high-level talented professionals in universities. Most of the existing digital literacy research studies farmers, college students, and teachers, whereas few studies focus on the digital literacy of librarians in teaching assistant positions. With the gradual deepening of the digital transformation of libraries and the application of educational technology, the improvement of librarians' digital literacy is particularly important. Therefore, this study aims to establish the correlation between educational technology and librarians, and explore the ways to improve librarians' digital literacy from the perspective of educational technology application, in order to fill in the gaps of current research. [Method/Process] Based on the literature analysis and research background at home and abroad, this paper comprehensively explored the connotation of digital literacy, and the connotation and characteristics of educational technology; through the combination of "online + field", this paper reviewed the practical application of educational technology at home and abroad in university libraries from two aspects of similarity and difference, and discussed the necessity and correlation of librarians to improve their digital literacy. From the three aspects of media literacy, data literacy and ethical literacy, the pathway for librarians to improve their digital literacy was constructed. [Results/Conclusions] This paper extracts three important qualities needed in the application of educational technology, and constructs the way to improve the quality of librarians, so as to improve the effective utilization rate of educational technology and find out the position of educational technology in the library service. Due to the realistic factors such as time and research object, this study still remains in the theoretical aspect, and we need further verify our method's feasibility and practicality. In the future, we will further study the influencing factors of how to improve the digital literacy of librarians, and then improve our method of improving the digital literacy of librarians from the aspects of digital literacy education object, education content, education method, education mode and education evaluation, so as to realize the feasibility of our method.

[Purpose/Significance] In recent years, the rapid development of artificial intelligence (AI) technology has become an international research hotspot. Embedding ChatGPT-like AI system in libraries will lead to a new direction for the development of their intelligent services, which is a necessary choice to improve the library service level, optimize service efficiency and promote service model innovation. It is also an important measure to adapt to the development trend of the information age, which brings new opportunities and challenges to the information and digital construction of libraries. This article aims to explore the realization path of ChatGPT to help libraries provide intelligent services, provide theoretical reference and practical basis for the intelligent service by libraries, and promote the construction of library intelligent service system. [Method/Process] By reviewing the relevant literature at home and abroad, on the basis of summarizing the core technology of ChatGPT, and studying the practical application cases of some domestic libraries, this article analyzes the application scenarios and directions in which ChatGPT can support library services, explains the current limitations of this technology and the threats and challenges it poses to libraries and librarians, and thus proposes corresponding strategies. [Results/Conclusions] ChatGPT technology will further optimize the knowledge service system of libraries and improve the intelligent service capability of libraries. It brings vitality to the libraries, but also brings threats and challenges. Librarians should grasp the integration capabilities of humans and AI in time, and make full use of their unique advantages. Libraries should strengthen the capacity building of their smart services oriented to ChatGPT, innovate the mode and mechanism of their smart services, and rely on ChatGPT to build a smart service platform, provide smart service resources, build a sound service system, build a service team, and improve the level of their smart services. Continuous efforts should be made to promote the in-depth development of smart library services, so as to meet the diversified and personalized information needs of library readers. To this end, this paper makes a preliminary exploration on the opportunities, challenges and development strategies of enabling smart services in libraries through ChatGPT. Due to the limited conditions, only some practices of domestic libraries are explored, and no cases of international libraries are introduced, which has certain limitations and needs to be improved in future studies.

[Purpose/Significance] Health is the foundation of survival, and the health of all people is the foundation of a country. However, the aging situation in China's rural areas is serious, and the health information literacy (HIL) of the middle-aged and elderly population is low. Improving the HIL of middle-aged and elderly people in rural areas is of great significance to personal health and the "Healthy China" strategy. In terms of research perspective and content, previous studies either used quantitative methods to measure the health level of rural middle-aged and elderly people, or used qualitative methods to analyze a certain aspect of HIL, but the reasons for the low level of HIL among rural elderly people are not explored from a qualitative perspective. Based on this, the author analyzes the reasons for the low level of HIL of the rural middle-aged and elderly from the perspective of qualitative research and proposes corresponding countermeasures. [Method/Process] Semi-structured interview method and ground theory were used to explore the reasons for low HIL among rural middle-aged and elderly people from five aspects: health information awareness, health information access, health information evaluation, health information utilization and health information service. A theoretical model of the causes of low HIL among rural middle-aged and elderly people was constructed. [Results/Conclusions] It is found that the reasons for the low HIL of the rural middle-aged and elderly people include personal cognitive limitations, objective condition limitations, and service delivery problems. Specifically, the reasons are rejection of digitalization, cognitive misunderstanding, physical condition limitation, digital equipment limitation, low quality of related services, and the lack of related services. Accordingly, from the level of personal cognition, it is proposed that multiple measures should be taken to promote health-related publicity and education to improve the awareness of HIL. For example, offline and online HIL education should be improved and the characteristics of rural social acquaintance should be used to improve publicity and HIL education. From the perspective of objective conditions, it is suggested that the material basis of life should be improved to raise the level of HIL. From the perspective of health information services, health care institutions, village committees, libraries and family members should be involved in the health information service system for the rural middle-aged and elderly people, and the quality of health information services should be improved. The interaction between the various causes can be further explored in the future.

[Purpose/Significance] The vigorous development of information literacy (IL) education has led to the increasingly prominent role of academic librarians as teachers in universities. However, most of the librarians who assume the teaching function lack the special training of pedagogy and teaching competence, so they have negative attitudes such as resistance and refusal to accept the role of teachers. These problems will inevitably affect the favorable and sustainable development of library IL education. Therefore, building the teacher role of librarians is of great significance to the development of IL education. [Method/Process] A content analysis method of the research literatures was used to review the historical development and recent debates about the teacher role of librarians were retrospected. We found that librarians currently play multiple teacher roles, including curriculum designers, teaching partners, teachers, academic research participants, and advocates for IL education. However, librarians face many realistic dilemmas in the process of teacher role development. Based on the in-depth analysis of the realistic dilemmas faced by librarians, this paper puts forward the ways of development for the teacher role of librarians from various aspects and perspectives. [Results/Conclusions] The research suggests that the development of the teacher role of librarians faces many realistic difficulties, such as the influence of professional image, the disconnect between library science education and practice, and the lack of teaching competence of librarians themselves. The ways of development: 1) Librarians: As the implementers of the educational mission, librarians in the new era should establish professional self-confidence and play a good role as a member of the educational and academic circles. In addition, they should actively examine their own lack of professional knowledge and pedagogical knowledge, and actively make up for their lack of knowledge through the training of teaching knowledge for librarians, the MOOCs of universities, and the further study and upgrading of academic degrees. It is also necessary to improve teaching skills through course observation, lecture practice, peer discussion, teaching reflection and other forms. In short, promoting librarians' teaching self-confidence and teaching competence is the key to developing the role of teachers; 2) Library science education: Attention should be paid to the establishment of courses related to IL teaching, such as adapting traditional library science courses to meet the teaching responsibility requirements of university librarians in China, and gradually adding courses related to teaching design, method, theory, assessment, introduction to teaching problems, presentation skills, cooperation and communication skills to improve the teaching ability of pre-service librarians. Embedding more demonstration/simulation teaching in LIS/MLIS teaching courses to help pre-service librarians gradually acquire teaching-related skills and experience, so as to prepare librarians for teaching roles; 3) Library departments: Efforts should be made to establish teacher-librarian positions, reallocate the responsibilities of librarians, and provide policy facilities to enable librarians to grow into library education experts; 4) Library industry associations: The dual professional qualification system of "teachers" and "librarians" should be implemented by library industry associations.