[Purpose/Significance] Improving college students' digital literacy is of great significance to building a digital talent power. [Method/Process] By combing the relevant policies before and after the release of Action Plan for Enhancing Digital Literacy and Skills of the People, this paper analyzes the main contents of the Action Plan and believes that it has the following significance: it determines the concept of digital literacy with Chinese characteristics and international vision, pays attention to the frontier requirements such as creativity improvement and special group service, expands four digital scenes of life, work, learning and innovation, and deploys comprehensive operations according to key tasks and projects. [Results/Conclusions] The authors argue that for various fields of library, information science and archives, the Action Plan will have extensive influence theoretically and practically, and its impact on digital literacy education of college students, in particular, is perhaps the most direct and far-reaching according to the research pattern and tradition of information literacy. The authors argue that the layout and action should be started as soon as possible for the education around digital literacy of college students.

[Purpose/Significance] Multiple elements such as the diversification and complexity of knowledge service scenarios, the interdisciplinary content, the subdivision and embedding of service needs, the individual wisdom of different methods, and the subjective initiative of supply and demand have all prompted university libraries to continuously promote the innovative development of their knowledge service models. Attracting, guiding, supporting and encouraging stakeholders to participate in the creation of service value has become the future development trend and an important strategic choice of innovative service models. As the stakeholders of university libraries, users are considered to be included in the knowledge service of libraries, and participate in the construction of knowledge service mode of university libraries from the perspective of value co-creation, so as to provide new ideas and new ways for the sustainable development and innovative development of knowledge services in university libraries. [Method/Process] The theory of value co-creation emphasizes the importance of users ' participation in value creation. Its core is interaction, and attaches importance to the value creation of stakeholders in the process of interaction. Therefore, users are introduced to participate in the knowledge service of university libraries to create value. Based on the theory of value co-creation, this paper integrates the elements of knowledge service mode of university libraries, and explores the architecture design and implementation process of knowledge service mode of university libraries from the perspective of value co-creation. [Results/Conclusions] The elements of the knowledge service model of university libraries from the perspective of value co-creation are composed of four parts: participants, service content, service scenarios and service means. The four elements are integrated into the architecture design of the knowledge service model of university libraries from the perspective of value co-creation. The realization process is divided into three stages: preparation stage, value action implementation stage, value evaluation and innovation stage, and the realization process is explained in detail. Based on the theory of value co-creation, it is necessary and feasible to construct the knowledge service mode of university libraries at this stage. It can better adapt to the knowledge service situation, express the user's knowledge service demand, improve the quality of knowledge service and user satisfaction, and provide reference for users to participate in the value creation of university library knowledge service with high quality. In future research, the combination of value co-creation theory will further explore the modes and methods of users' participation in university libraries knowledge services.

This paper conducted a brief review about the connotation of information literacy and the background of information literacy education, and explored several ways of library information literacy education under the background of "Internet +".

In internet times,the characteristics of large data have shown up.The excellent traditional culture has been diluted.How to protect traditional culture and set up a inheriting system has become very urgent.Libraries and the ancient book collection institutions have the same origin. Libraries play an very important role in protecting raditional culture. University Libraries have obvious advantages in protecting raditional culture. University Libraries,making use of their scientific and geographical advantages, set up a digital inheriting system to adapt to the impact of foreign culture,which has become the founder and protector of excellent traditional culture system.

[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.

" 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 foundation of public library services lies within information retrieval (IR), an area that has a profound societal impact through activities such as digital resource integration and the advancement of societal equity. Current methodologies focus primarily on classical keyword-based Online Public Access Catalog (OPAC)-like top-down retrieval and large language model (LLM) based point-to-point retrieval. Unfortunately, these approaches individually fail to strike a balance between flexibility and reliability, hindering the evolution towards user-centric IR systems. Consequently, there is an urgent need for an innovative retrieval strategy that fosters a human-centered IR paradigm. [Method/Process] Contrary to the prevalent school of thought that advocates for the complete substitution of classical OPAC-like approach with LLM methods such as GPT, we put forward a groundbreaking proposal that synergizes the merits of both strategies. This proposition represents the inaugural effort of this kind within the scholarly community of public information service. We introduce the adaptive literature retrieval framework (ALRF), an innovative approach grounded in the principles of cognitive science, addressing the critical user challenge in retrieval - the pursuit of known unknown knowledge (KUK). KUK originates from a user's explicit understanding of the desired outcome, without comprehending the associated domain-specific terminology, thereby lacking the necessary entry point for a keyword-based search. ALRF's novel two-stage workflow caters specifically to such situations: (i) users can identify target keywords or keywords at a more abstract level by entering descriptions in natural language, thus implementing a bottom-up strategy; (ii) utilizing these extracted keywords, users can then conduct a top-down search. ALRF accommodates LLMs such as ChatGPT, GPT-4, and ERNIE Bot. The platform's effectiveness in retrieving literature from diverse fields such as science and engineering, biology and medicine, literature and sociology was carefully evaluated. [Results/Conclusions] The ALRF significantly outperforms standard methods, i.e., LLM-based retrieval service and OPAC-like retrieval service, in terms of both flexibility and reliability. This holds true for tasks involving keyword abstraction (i.e., identifying keywords at a higher level of abstraction in the target domain) and property extraction (i.e., locating keywords with specific attributes but at the same abstraction level as the target domain). Consequently, it addresses the pressing need for KUK retrieval, signifying that ALRF has showcased initial potential to cater to the diverse and personalized retrieval requirements of users. This suggests that ALRF could potentially revolutionize public information services by placing humans at the center of its operation. Regrettably, a current hindrance to the wider adoption of ALRF in public IR in China is the pace of development of powerful LLMs by Chinese corporations. We recommend that researchers remain abreast of such advancements to be cognizant of the realistic possibilities and limitations in real-world applications.

This paper introduces the current trend of the transformation of the domestic intelligence agencies to the think tanks. Based on the new paradigm of knowledge service of intelligent ecology in the environment of "Internet +", and Combed the relevant research at home and abroad, the paper constructs knowledge service system of the science and technology intelligence institute for think tank transformation. This complex knowledge service system puts forward four levels of knowledge organization、 knowledge management、knowledge flow and knowledge service. It is connected by six layers: network layer、data layer、team layer、product layer、service layer and user layer. It is composed of technical staff、 intelligence analyst、Industry experts and customers. It ultimately provides prospective、effective and professional intelligence services to governments and enterprises.

With the rapid development of social informatization and the arrival of the era of big data, scientific

[Purpose/Significance] This study is focused on the current popular "chatbot" ChatGPT to deepen users' overall cognition of ChatGPT, and provide reference and inspiration for the development of intelligent knowledge services in libraries by combining the power of new artificial intelligence (AI) technologies.[Method/Process] The article comprehensively analyzes ChatGPT, including its development history, technical features, common application scenarios, and integrated application program paths. In addition, it compares ChatGPT with similar AI technologies developed domestically and internationally (such as Google's Brad and Meta's BlenderBot 3), intuitively reflecting that new AI technologies such as pre-training models and cognitive intelligence have become the research and development focus of major technology institutions. The article also analyzes the technical limitations and existing security risks of ChatGPT, pointing out the optimization direction for secondary development and indicating its potential hazards for other researchers. Furthermore, the potential impact of ChatGPT on the Chinese libraries and information institutions are explored. By studying the application of ChatGPT in libraries and information service institutions, this article attempts to provide an in-depth understanding of how to use this technology to improve information retrieval, knowledge management, and user engagement. Finally, a comprehensive overview of ChatGPT and its potential impact on the Chinese information environment is provided. [Results/Conclusions] The integration of new technologies such as big data and AI has great potential for China's library and information service institutions to provide better and more intelligent knowledge services. With the development of modern technologies, libraries and information service institutions have been faced with new challenges and opportunities at the same time. The challenges come from the overwhelming amount of information, the diversification of information resources, and the increasing demands of users for personalized services. The opportunities arise from the availability of advanced technologies such as big data and AI that can help libraries and information service institutions to address these challenges. By fully integrating big data and AI into libraries and information service institutions, these institutions can leverage the power of these advanced technologies to provide more intelligent knowledge services. High-quality scientific and technological resources and knowledge organization systems can play a vital role in ensuring that these institutions are equipped with the necessary infrastructure and expertise to successfully implement these technologies. In conclusion, the integration of big data and AI represents a significant opportunity for China's libraries and information service institutions to provide better and more intelligent knowledge services. By relying on high-quality scientific and technological resources and knowledge organization systems, these institutions can comprehensively improve their level of intelligent knowledge services, and better meet the needs and demands of their users in the digital age.

[Purpose/Significance] As human beings enter an information-intensive society, massive information extensively and profoundly affects and changes people's lives, and gradually causes social problems such as information rumors and information redundancy. The Internet, as the primary channel for people to obtain information, has become the hardest hit area of information problems. Online health information has a wide range of sources and complex topics, due to its uneven quality, it is difficult for users to distinguish between true and false information, which brings great challenges to people, especially middle-aged and elderly people, in obtaining, selecting and using health information. [Methods/Process] The questionnaire survey method was used to explore the characteristics of health information needs and actual behavior interaction of middle-aged and elderly people from the cognitive perspective and the behavioral perspective, respectively. The questionnaire was conducted in two stages. In the first stage, participants were asked to answer an open-ended question, "What characteristics do you think meet your standard of good health information?" in order to collect the desired health information needs of the subjects. Then, we used the grounded theory analysis method to analyze the text of the subjects' answers to form a unified TSCA ideal health information feature framework. The second round of questionnaire survey was conducted on the basis of the first round of investigation and research, and we designed relevant questions to collect the information of subjects' actual health behavior information according to the established TSCA ideal health information feature framework. [Results/Conclusions] There are four features regarding middle-aged and elderly people's needs for desired health information: information topic, information source, information content and document attribute, that is, we construct the TSCA ideal health information feature framework for middle-aged and elderly people. In the process of actual interaction with health information, middle-aged and elderly people use various information topics and sources, but rarely obtain and use information from professional health sources. The study also found that it is necessary to strengthen the scaffolding role of document attribute in the process of actual interaction with health information among middle-aged and elderly people. In addition, two modes are discovered with regard to the desired health information needs of middle-aged and elderly people: topic and source oriented (TS) and content and attribute oriented (CA), but the desired health information needs are not consistent with the actual behavior of middle-aged and elderly people. The discovery of this difference will help to serve the design of the current health information environment and optimize the development of health information literacy education and training for middle-aged and elderly people from the perspective of information characterization.

[Purpose/Significance] Using the concept of "public cultural space" to refer to various public cultural facilities and places in rural areas is a research trend that has gradually emerged in recent years. Under the background of rural revitalization strategy, clarifying the current research status and existing problems of rural public cultural space in China, exploring future research priorities is of great practical significance and theoretical value to promote the high-quality development of rural public cultural services, prosperous development of rural culture and the spiritual enrichment of farmers in the new era. [Method/Process] This paper reviewed relevant literature on rural public cultural spaces in China from 2012 to 2022, summarized existing research results, analyzed existing problems, and proposed future research priorities. [Results/Conclusions] The existing study mainly focuses on the overall research on rural public cultural space and the research on specific types of rural public culture. The former includes the basic theoretical issues such as the concept connotation, constituent elements, space types, value functions, development and evolution of rural public cultural space, as well as the construction status quo, existing problems and reconstruction path. The latter includes rural traditional cultural space, rural modern cultural space and rural new cultural space construction. The research of rural public cultural spaces puts increasing emphasis on the in-depth and systematic study and is focused on the theoretical value, the problem orientation and policy orientation of the research are becoming increasingly obvious. However, compared with urban public cultural space, specialized research on rural public cultural space is still relatively lacking. At the theoretical research level, research on digital or virtual public cultural spaces in rural areas in the digital and post pandemic era still needs to be improved, and research on the construction and evaluation of rural public cultural space based on the perspective of villagers' participation is still insufficient. At the practical research level, compared with modern cultural space such as township cultural stations and rural libraries, the research on new types of public cultural space such as rural bookstores and homestay bookbars that have emerged in recent years still needs to be further deepened. The innovative practice and advanced experience of traditional rural public cultural space in revitalization and transformation still lack systematic refinement. Faced with the new requirements of rural revitalization strategy and high-quality development of public culture for rural public cultural space, future in-depth research includes comparison of reconstruction paths of various types of rural public cultural space, construction of new rural public cultural space, construction of rural public cultural digital space, service innovation of rural public cultural space, evaluation indicators of rural public cultural space, and international experience and Chinese characteristics of rural public cultural space.

[Purpose/Significance] The spirit of Yuhuatai martyrs is one of the important components of the new democratic revolutionary spirit of the Communist Party of China (CPC). The primary documents about Yuhuatai martyrs is the significant source to record their spirit. Using text processing technologies, such as content annotation and feature construction to deeply excavate the content of the documents, which is not only conducive to carrying forward revolutionary culture and continuing the red spirit, but also beneficial to expanding the application objects of technology and promoting the improvement of text mining technology. [Method/Process] In this paper, the original documents related to Yuhuatai martyrs were used as the data source, which include 12,329 original records in 8 types of documents, including biographies of martyrs, letters, diaries, interrogation materials of the enemy and puppet governments, trial records, and oral history. Then the lightweight ontology of Yuhuatai martyrs was built, which was used as the feature description framework of Yuhuatai martyrs. Based on the domain ontology and trigger word features, relevant instances in the ontology were extracted from the documents of Yuhuatai martyrs, and the formal features of the multi-dimensional attributes of Yuhuatai martyrs were constructed and described. The categories and attributes of lightweight ontology described the Yuhuatai martyrs' group feature framework. Through the data analysis of the extracted ontology instance, the data analysis of Yuhuatai martyr group feature can be realized. [Results/Conclusions] Through the statistical analysis of the basic information, revolutionary activities and the relevant text content of the struggle in prison of Yuhuatai martyrs, this paper further revealed the group characteristics from the perspective of data, including: high education level, sacrifice at a young age, long-term struggle in the ruling center of the Kuomintang, adherence to faith, loyalty to CPC, full of family and country feelings of peace and order, and conscious practice of noble moral pursuit. By the application of lightweight ontology and other quantitative analysis methods in this paper, it is helpful to visualize the lofty ideals and beliefs of Yuhuatai martyrs, noble moral sentiments and the dauntless spirit of sacrifice for the people. This paper has a certain reference value for the presentation and dissemination of innovative Yuhuatai martyrs' spirit.

[Purpose/Significance] Wheat is one of the most important crops in the world, and its development of genetic and breeding technology plays an important role in the guarantee of global food security. Study about the patents of global wheat genetic and breeding technology as a new research field has a great significance on wheat yield and quality. [Method/Process] Patent analysis is used to filter, count and analyze relevant patent documents and convert them into usable information. During the development of wheat genetic breeding technology, a large volume of patent data have been generated. After data cleaning, 4 914 patents were obtained, of which 99.5% were invention patents and 0.5% were utility model patents. By using the methods of patent analysis and standardized data analysis, this paper performs statistical analysis on the patent documents published since 1977 collected from PatSnap database. Insights patent analysis system is used as a tool for patent analysis and valuation. The technical status, researching hotspots and developing trend of wheat genetic and breeding patents in the world can be studied from these following aspects, such as total number and trend of applied patents, distributions of countries' or regions' patents, technology composition, hot topics and patent value. [Results/Conclusions] The results showed the overall development trend of the global wheat genetic breeding technology patents, the research hotspots and the technology distribution and pattern. The research of global wheat genetic and breeding technology is gradually approaching the maturity stage; the growth trend of China's patent application is in the same line with the global patent application, and China has become the world's largest country of patent applicant. The large multinational companies are active institutions in this field, while Chinese applicants are mainly universities and research institutions. The research of disease resistance gene, herbicide resistance and insecticide resistance, molecular marker-assisted breeding, transgenic wheat are the hot technical topics at present; the main technology composition of wheat genetic and breeding technology patent in China is basically consistent with the global situation, but the technical emphasis has slightly difference. In this field China has been in line with the global technology strategy. High-value patents are mainly in the hands of large multinationals; the distribution of China's patent technology should break the regional limitations and take the initiative to participate in the global technological competition. The future prospect of wheat genetic breeding technology development in China was finally put forward.

[Purpose/Significance] Advances in single-cell sequencing and high-throughput technology have made it possible for plant genomics to accumulate large quantities of data describing multidimensional genomic-wide molecular phenotypes at low cost. As powerful data mining tools, deep learning techniques can be utilized to further predict and interpret the acquired molecular phenotypes. In recent studies, deep learning has been shown to yield significant results in plant genomics and crop breeding research. However, a complete review of deep learning applications in plant genomics is lacking. [Method/Process] The input to deep learning applied to genomics is usually biological sequences and molecular phenotypes as predictor and target variables, respectively. We introduced the workflow from four views: input data pre-processing includes retrieval, coding, and splitting; model construction and training includes the selection of model architecture and hyperparameters; model evaluation and interpretability. Specifically, this paper introduces the background of deep learning approaches, including the latest graph neural networks; then it discusses two prominent issues in the intersection of genomics and deep learning with respect to gene characterization and protein characterization: 1) how to model the flow of information from plant genomic DNA sequences to molecular phenotypes; and 2) how deep learning models can be utilized to identify functional variation in natural populations? Specifically, the paper summarizes the current status of deep learning applications in related fields, which include deep learning and DNA and gene characterization research, interpretability of deep learning in genomics applications, graph neural networks in genomics, deep learning and genomic variation research, deep learning in protein prediction, ALPHAFOLD in protein prediction, deep learning and crop breeding research, and unsupervised learning in genomics and protein characterization. [Results/Conclusions] This article summarizes how traditional deep-learning algorithms, graph deep-learning, generative adversarial networks and interpretable AI are applied in current research in order to address these two problems. Finally, the prospects for deep learning in future plant genomics research and crop improvement are discussed. Overall, deep learning has provided better results than conventional methods in many genomics research directions, and the application of deep learning in genomics has yielded early applications of scientific and economic significance. Deep learning offers two distinct advantages: 1) end-to-end learning, with the ability to integrate multiple pre-processing steps into a single model; and 2) multimodal data processing capabilities that can handle extremely heterogeneous data in genomics. The advancement of deep learning has the potential to expand new research perspectives in genomics and crop breeding, and to facilitate larger-scale association studies in both phenotypic and genotypic genomics as algorithms become more accurate.

[Purpose/Significance] In recent years, there has been a lot of research on the demand for health information, but the research on health information services for the elderly is slightly insufficient. In early 2022, China officially entered the aging society. In addition, people's attention to major public health emergencies brought about by the COVID-19 epidemic triggered the author's thinking about the demand for health information for the elderly under such circumstances. This paper aims to explore the health information needs of the elderly under major public health emergencies, enrich the theoretical content of health information needs and services for the elderly, and provide reference for health information services for the elderly. [Method/Process] In-depth interview was used to collect data from 30 elderly people. Thematic analysis was used to analyze the interview text, code the interview text, and summarize sub-themes. [Results/Conclusions] The results show that the health information needs of the elderly under major public health emergencies can be divided into four categories: disease prevention, disease diagnosis and treatment, health care, mental health and social life. In order to meet their health information needs, this paper proposes information service strategies from the perspective of the government, community and media: 1) the government ensures that information channels are unblocked, and makes full use of scientific and technological means to transmit information. In the Internet era, considering that most elderly people are also active on the We Media and social media platforms, government departments are suggested to make full use of scientific and technological means to update the latest news to the public in a timely manner, such as using emerging social media, We Media (such as Weibo, WeChat official account, Tiktok, etc.) to cooperate with official news agencies, and build smooth information transmission channels with the help of scientific and technological platforms, and expand the scope of information dissemination; 2) to enrich grassroots information dissemination channels by taking community as a unit, in addition to regularly issuing relevant notices and information in the community, we can also carry out targeted publicity lectures, free health clinics and other activities under the professional guidance of relevant institutions to help the elderly obtain health information; 3) to standardize the release of media information and improve the social responsibility of the media industry. This study mainly focuses on the elderly who can take care of themselves. The research object comes from the same community. In the future, more attention may be paid to the semi-disabled and completely disabled elderly, and diversified groups in different environments and regions will be considered.

[Purpose/Significance] A future learning center (FLC), a ground-breaking novel education model crafted in response to the burgeoning demands of a rapidly digitized and intelligent society, will undeniably spearhead the new wave of intelligent construction in contemporary university libraries. As this evolution unfolds, libraries urgently need to clarify and solidify their roles in the meticulous construction of future learning centers. Doing so will promote vibrant knowledge exchange, robustly stimulate cross-disciplinary cooperation, and also guide and embolden libraries to proactively seize unprecedented development opportunities and to collaboratively face the emerging challenges ahead. [Method/Process] To comprehend the genesis and potential of the FLC, this research undertakes a meticulous examination of its foundational concepts, overarching objectives, inherent tasks, and structural framework. It delves deep into the libraries' pivotal role in nurturing these centers, especially through the lens of role delineation and functional metamorphosis. Gleaning insights from real-world examples such as the Beijing Institute of Technology Library and the Shanghai University of Finance and Economics Library, this investigation seeks to capture a snapshot of the current operational landscape, along with its associated tribulations and challenges. Through this way, the research hopes to chart a roadmap, offering invaluable reference and actionable guidance for libraries poised to embark on their journey of creating FLCs. [Results/Conclusions] The future learning center encompasses an intelligent learning environment that melds information services with learning and teaching support. Such spaces are poised to emerge as novel grassroots learning organizations underpinning evolution in learning techniques and the genesis of knowledge. Crafting these future learning centers necessitates a systematic approach, calling for collaboration from various stakeholders. Within this context, libraries serve dual roles as both initiators and active contributors. While libraries' involvement in developing future learning centers remains in nascent stages of growth, the core challenge lies in pioneering a human-centric model that harmoniously fuses space, resources, and services to offer students an enriched, tailored, and novel learning journey. As educational paradigms shift, libraries must capitalize on this momentum, drawing from their foundational expertise in intelligent library development, to resonate with the evolving criteria of talent development. Confronted with myriad challenges-ranging from role definition, conceptual alignment, and overcoming educational reform resistance to enhancing professional acumen and navigating spatial constraints-libraries are suggested to strategically assimilate educational assets, reconfigure spatial methodologies, and proffer intelligent solutions. They should aim at fostering students' proficiency in autonomous, participatory, and investigative learning through diverse resources. In essence, libraries should evolve into hubs for information services, focal points for student learning, and pillars for teaching assistance.

China and Australia are facing the common problems and needs in aging population. Cross-cultural research is not limited to local research but starting from the view of globalization. From cross-cultural perspective, the seminar discussed the design of healthy aging, involving the issues such as story time machine designed for the elderly, "memory" wearable, diapers for clinical use, the elderly clothing accessories and visual identification research, which enriched the academic exchanges and information resource sharing of universities between Australia and China. It also provided a new hot spot and new direction for art design, and had important academic significance.

[Purpose/Significance] In the digital era of the Internet of Things, data-intensive academic research paradigms have accelerated, promoting the reconstruction of research libraries' new knowledge service ecology based on massive resources and data. With the development of smart libraries, "web-scale discovery service" has become the core functional module for the implementation of intelligent services in the next-generation library service platform. Which kind of next-generation library service platform is more suitable for building web-scale discovery services? How to build web-scale discovery services? These are issues that the library industry pays more attention to in building smart libraries. [Method/Process] This article mainly adopts a research method that combines literature review with case studies. It reviews the current research status of "web-scale discovery service" both domestically and internationally, and uses the Shanghai Library as a case study for empirical research. It takes the exploration of intelligent data service mode of Shanghai Library's third-generation service platform as the research object, reviews the technical path, resource strategy, data management, and service methods of the web-scale discovery services based on the FOLIO platform micro-services architecture, and explores new ideas and new technologies for improving the value of knowledge services through "user-centered" web-scale discovery services in the digital transformation of libraries. [Results/Conclusions] Micro-services architecture is a service-oriented architecture with high flexibility and scalability. Based on the FOLIO platform's micro-service architecture and using the open-source discovery tool Vufind as a resource discovery portal, libraries can build their next-generation service platform suited for building web-scale discovery services in smart libraries. This platform allows customization and expansion of additional intelligent service modules as needed, to meet different levels of service demands. Therefore, the author suggests that libraries should choose the open-source FOLIO platform, which utilizes micro-service architecture to serve as the next-generation service platform for smart libraries. Additionally, librarians are encouraged to customize and develop personalized web-scale discovery services, considering their specific needs. Due to the fact that the research object of this article is a large-scale research library in China, the practical experience and research methods presented here have certain limitations. We hope that the research conclusions of this article can provide references for librarians when selecting and implementing relevant systems and services for building web-scale discovery services.

[Purpose/Significance] The development of the Internet has led to the rapid development of social networks, providing users with a convenient channel for the release, dissemination and acceptance of information. However, its low-threshold characteristics have also given rise to a group of the "Internet water army"--online social spammers, who are paid to post online comments with particular content and spread false information on purpose. They have become a major problem for the Internet ecology. It is of great significance to detect the Internet water army, prevent their malicious attacks, and combat and eliminate their negative effects on the security of the online public opinion. [Method/Process] First, we analyzed the development process and characteristics of the online social spammers, summarized the algorithms used in previous studies and the characteristics mentioned, and sorted out three research starting points: text features, interaction features and graph structure features. Then, an online social spammer detection method based on deep learning was proposed. Combined with the three aspects of user basic information, historical remarks and interaction behavior, six types of features were extracted from the basic information, recent remarks, social intimacy, interaction behavior, microblog number and membership level. Through feature depth extraction and vector splicing and fusion, the user feature vectors were formed with the same length. Finally, a convolutional neural network was used as a classifier to build an automatic, high-precision and high-efficiency spammer detection model. Two Chinese online spammer datasets collected from the Sina Weibo platform were selected for the experiment. The features of the datasets were spliced and aligned to form the Weibo Spammer 2023 dataset as the model training dataset, which prevented the data features of a single dataset from being too discrete and reducing modle generalization. Considering the overfitting problem in the model training process, we solved the problem by adding abandoned layers. [Results/Conclusions] The online spammer detection model constructed in this experiment has significantly improved in terms of metrics such as precision and accuracy. At the same time, the ablation experiment shows that the six features extracted in this experiment have a positive effect on the detection process. Through empirical analysis, the model constructed in this paper has a high detection accuracy and detection efficiency, which can provide certain technical support and theoretical guidance for online spammer identification. By using machine learning methods to actively identify online social spammer accounts, real-time monitoring and prevention of key spammer accounts can prevent the occurrence of malicious network events more timely and effectively and reduce the risk of illegal forces damaging the public opinion ecology.

[Purpose/Significance] With the rapid development of new media technology, social media platform has become the main carrier of information dissemination. Social network analysis (SNA) is used to study the information dissemination structure and mode of emergencies in microblog, which provides theoretical support for the government to effectively deal with emergencies and crises. [Methods/Process] Taking "Tangshan barbecue restaurant beating incident" as an example, Weibo data were collected to build an information dissemination network with strength relationship between nodes. Social network analysis has been used to analyze the user attributes, node attributes, network attributes and dissemination attributes of the information dissemination network, in order to explore the role of the strength relationship between nodes in emergency information transmission. [Results/Conclusions] 1) The factors of user gender, activity, and region affect their dissemination power. In particular, female users, users with high activity or influence and those in developed provinces have a stronger power of information transmission. 2) The core nodes that plays the role of "bridge" in the dissemination chain is particularly critical. Nodes with strong relationships generally occupy central positions in the information dissemination network and may mainly consist of opinion leaders and mainstream media with greater influence. The pathways of weak and authority relationships are mainly concentrated around a few core nodes, while the pathways of strong relationships are dispersed. 3) Emergency information transmission network has high efficiency and sparse characteristics. 4) The whole process of information transmission is still dominated by weak relationships. Authority relations play an important role in all stages of information transmission, while the role of strong relationships is mainly concentrated in the initial stage. The results of this paper help to deepen the understanding of the patterns and rules of emergency information dissemination, and provide some insights for more effective management and guidance of emergency information dissemination in a particular field such as agriculture. However, our research still has shortcomings, such as insufficient crawling of user attributes and insufficient research methods. In the future study, we will obtain more abundant characteristics of users involved in the dissemination such as age, occupation and education level through interviews or questionnaires, and introduce new methods such as machine learning and graph neural network to predict and analyze the transmission path and node relationship of emergency information, so as to cover these shortcomings, improve the comprehensiveness and effectiveness of the study and deeply explore the information dissemination rules of emergencies.

The scientific connotation, strategic considerations and practical ways of "new quality productive forces" have received wide attention from the political, academic and industrial circles. Cultivating and developing new quality productive forces means fundamentally changing the mode of production. It is necessary to grasp the practical direction of new quality productive forces from their scientific connotation and internal logic, and explore the scientific way of cultivating and developing the new quality productive forces from China's national conditions. As an important engine of economic development in the new era, its connotation characteristics, development path, opportunities and challenges are worthy of further discussion. For this reason, seven experts were invited to share their perspectives. 1) The deep logic and realization path of the construction of new quality productive forces and high-quality data resources. This paper discusses in depth the background and connotation characteristics of the high-quality data resources, and analyzes the internal logic of the mutual promotion between high-quality data resources and the development of new quality productivity. It is proposed that the construction of high-quality data resources must implement the concepts of innovation, coordination, openness, credibility and sustainability, and follow the construction strategies of concept innovation, model innovation, structural innovation and technological innovation. 2) The theoretical logic and practical path of data elements empowering new quality productive forces. In the new era of green and intelligent development, there is a profound dialectical relationship between data elements and new quality productive forces, and a new situation of economic and social development is accelerated in the spiral ascent of complementarity. We should comprehensively build a data space governance model with clear data ownership, smooth data path, guaranteed data quality and orderly and standardized algorithm computing power, expand new quality production capacity and production factors with the goal of human-machine cooperation and promote sustainable economic and social development. 3) Accelerating the promotion of data rights. Data can act on new quality productive forces from the technical, factor and industrial dimensions, and accelerate the formation of new quality productive forces. The multiplier effect of data elements on new quality productive forces will involve many dimensions, levels and stages, the most important and fundamental of which is how to determine the ownership of data. The measures for speeding up the promotion of new quality productive forces are discussed, such as constructing the theory of property rights in accordance with the characteristics of data and the law of development of new quality productive forces, speeding up the clarification of the types and scope of data confirmation, and improving the supporting system of data confirmation. 4) Promoting China's modernization path with Chinese-style digitization. Accelerating the promotion of Chinese-style digitization is not only the only way to realize Chinese-style modernization, but also the core to fully release new quality productive forces and build China's asymmetric competitive advantage under the new situation. It is suggested that in the process of digitalization and informatization in China, the information resource management industry plays a vital role and bears the important responsibility of digital transformation. 5) Interpreting the mission of public libraries from the perspective of new quality productive forces. Since its establishment, public libraries have been based on the concept of enlightenment. Faced with the profound digital transformation of society, today's public libraries need to further develop the potential of empowering the people in the field of digital economy and make them play an active role in the development of new quality productive forces. Public libraries need to further develop their potential to empower people in the field of digital economy, so that they can play an active role in the development of new quality productive forces. They should actively participate in data commercialization, promote the effective use of data elements and the efficiency of resource allocation, and enable more people to obtain and use data elements equally through open access and digital services. 6) The intelligent transformation of university libraries from the perspective of new quality productive forces. In the process of developing new quality productive forces, we should fully understand the profound meaning of new productive forces, based on the core tasks of providing a strong guarantee for the development of new quality productive forces in higher education, grasp the development opportunities, and realize the high-quality development of the industry. This paper explains the understanding of university libraries on the three key words of new quality productive forces, and proposes that the re-understanding and realization of library intelligence is an important starting point for the development of new productive forces. 7) To support information resource management discipline to accelerate the development of new quality productive forces. From the perspective of information resource management discipline, this paper analyzes several aspects of "doing something" under the rise of new quality productivity concept, including theoretical system, information resource guarantee, information analysis and consultation, scenario building, knowledge popularization and civic literacy cultivation. The content of academic evaluation, information policy, intellectual property rights, digital consumption behavior and other directions related to new quality productivity are also important directions that the discipline needs to pay attention to.

[Purpose/Significance] As an important member of cultural memory institutions, public libraries shoulder the responsibility of protecting human cultural heritage and passing on civilization. It plays a pivotal role in the inheritance and development of cultural heritage. The active participation of public libraries will be conducive to the preservation of resources and presentation of cultural heritage, thus promoting the value reproduction of cultural heritage. This article studies the strategy for promoting China's public libraries' participation in cultural heritage, and from the perspective of ancient books preservation, it can provide reference for public libraries' participation in cultural heritage and promote the better development and utilization of cultural heritage. [Method/Process] In order to understand the concept of "cultural heritage" and the importance of public libraries in the protection of cultural heritage, this paper examined relevant policies and laws, and analyzed the necessity and feasibility of public libraries' participation in the transmission of cultural heritage in detail. At the same time, it studied the current situation of public libraries' participation in the theoretical research and practice of cultural heritage. The three cases selected in this paper, National Library, Shanghai Library and Suzhou Library, are all important units in the protection and restoration of ancient books in China, and have leadership and representativeness in the organization and application of ancient books in their collections and the innovation of digitalized ancient book services. This study focuses on three aspects: protection of ancient books and restoration projects, development and utilization of ancient books, and innovative services of digitalized ancient books through literature review and case study. Through comparative analysis, the means and shortcomings of ancient books' protection are comprehensively analyzed. [Results/Conclusions] There are several problems in the protection of ancient books in public libraries in China: the digital versions of ancient book resources are presented in a single way; the audience of ancient books is not large; and motivation for the promotion and display of ancient books is not strong enough. Suggestions are provided for promoting public librarie's participating in cultural heritage: providing more characteristic resource services and building characteristic resource databases; collaborating with other cultural institutions to develop digital humanities' platforms for cultural heritage; actively applying for cultural projects while cultivating professionals; strengthening the teaching of skills to protect cultural heritage in a wider scope; carrying out a series of activities to stimulate the public interest; strengthening the promotion and marketing of cultural heritage to create a cultural heritage brand. Admittedly, this paper still has the problem that the case study is not comprehensive enough, and it is expected that more in-depth research and analysis can be carried out in the future.

Based on the dominant function of Excel and NoteExpress, this paper introduced the methods of selecting first authors and reprint authors' core papers belonged to Guangdong Medical University and collected by Web of ScienceTM, so as to help university librarians and administrators for the statistics, statistical analysis and management of papers.

Machine learning is a machine-oriented data analysis method, and the research of automated machine learning promotes the development of artificial intelligence. The rapid accumulation of big data has promoted the development of machine learning algorithms. How to choose the right one to solve industry problems has been difficult in its applications. The authors sort out the new materials in this area, and carefully analyzes the characteristics of various machine algorithms and the differences between them, summarizes the background, advantages and disadvantages of them. On this basis, this paper analyzes the case of machine learning in agricultural applications, and summarizes it, finally, this paper points out the current development bottlenecks and proposes further research and application.

[Purpose/Significance] Artificial intelligence generated content (AIGC)'s content creation method has brought about a new revolution to the field of library and information science (LIS). Currently, the related research is mainly based on AIGC and ChatGPT, while ERNIE bot and Bard are less studied. Comparative analysis of the advantages and disadvantages of the AIGC large language models, discussion of the operating mechanism of AIGC, and in-depth research on application solutions in the context of university libraries provide new ideas for AIGC applications in smart libraries. [Method/Process] Taking the three AIGC applications of ChatGPT, ERNIE bot and Bard as examples, starting from the Transformer model, and on the basis of in-depth analysis of the basic principles of the large language model, the comparative analysis method is used to conduct a horizontal comparison of these three applications. The research summarizes the six common features of AIGC's large language model, and points out that it can be used in improving the work efficiency of university libraries. This paper explains and identifies nine different characteristics of the AIGC large language model, and points out how to choose three applications in university libraries. According to the characteristics of each application, six scenarios-based application modes of university libraries and the advantages of AIGC applications in university libraries are pointed out. A discussion is provided on four potential risks that may be faced by libraries in using AIGC large language models, and solutions are proposed to reduce risks, providing a reference for university libraries to choose AIGC applications. [Results/Conclusions] ChatGPT focuses on natural language understanding and content generation, and has more advantages in the ability of natural language understanding, task applicability and cross-language transfer, and is more suitable for resource integration and decision-making assistance in the context of knowledge services, subject services and administrative management. ERNIE bot has hundreds of billions of super-training parameters, and it can generate multi-modal content including text, pictures and voices. It has more advantages in learning training, model expansion and Chinese comprehension, and is more suitable for optimizing services and assisting creation in the context of reader services, technical services and cultural services in university libraries. By comparison, Bard focuses on human-machine dialogue data processing, it can use natural language to communicate with people, and it is more suitable for providing 24-hour intelligent customer service, assisting subject consultation and knowledge Q&A in the context of reference consultation in university libraries. With the application of AIGC, although university libraries will face ethical risks, privacy risks, data security, and the proliferation of false knowledge, as long as artificial intelligence data governance is strengthened, in the future, university libraries will integrate the natural language understanding and generation capabilities of AIGC large language models that can expand diversified application scenarios, innovate multi-dimensional service models, optimize the business service environment, assist administrative decision-making, and improve the level of intelligent services.

[Purpose/Significance] With the rapid development and widespread application of the Internet, artificial intelligence, information technology, and other technologies, China's education informatization is currently in a critical period of integration and innovation combining digital technology and education. The deep integration of intelligent technology and education has brought diversified changes to education. The Education 4.0 concept, which emphasizes personalized education and innovative teaching with students as the main focus, has emerged. The Higher Education Department of the Ministry of Education of China proposed in its 2023 key work points, it is required to explore and promote the pilot of the "Future Learning Center", leverage the advantages of university libraries, integrate various learning resources in the school, utilize new generation information technology, and create a new grassroot learning organization that supports the transformation of learning methods. According to the development trend of the new paradigm of education in the new era, university libraries should construct diversified ecological spaces and learning scenarios through literature resource integration, spatial process reengineering, intelligent technology application, and learning support services. [Method/Process] By conducting targeted literature analysis, conducting research on university libraries, and paying attention to industry seminars, the current research status and construction progress of future learning centers in China are summarized. The changes in learning space, teacher roles, course content, learning methods, and evaluation systems of future learning centers under the development trend of Education 4.0 are analyzed, Summarize the basic characteristics that future learning centers should present after achieving seamless integration between knowledge, resources, users, and scenarios. Based on the service functions of university libraries in learning, academia, culture, innovation, etc., focus on exploring the construction and service paths of spaces such as self-learning support space, education and teaching support space, digital academic support space, and creative creation support space, the goal is to create a diversified learning ecosystem that integrates reading, teaching, experience, participation, exploration, collaboration, and creation. [Results/Conclusions] The future learning center will become an important opportunity for university libraries to transform from a resource center to a learning center. However, the construction of future learning centers is not standardized or exemplary. Each school must "put people first", investigate and analyze the user needs, behavioral habits, subject characteristics, and school situation of its teachers and students, balance user needs and library situation, and highlight key points and characteristics. At the same time, university libraries need to cooperate with colleges and departments to jointly build, coordinate the technology and strength of the entire school, integrate and share resources, collaborate and use technology, cross integrate disciplines, and exchange and recognize evaluation systems. University libraries aim to create a new campus learning ecosystem through the construction of future learning centers, providing readers with personalized learning services, intelligent learning environments, precise learning platforms, and innovative learning ecosystems, and achieving the educational goals of students' autonomous learning, intelligent learning, and lifelong learning.

[Purpose/Significance] This article is aimed to explore the impact of artificial intelligence generation technologies such as large language models (LLMs) on users' information retrieval behavior and to suggest ideas for information retrieval systems and information resource construction. In this way, it provides insights into and references for the future establishment of the artificial intelligence generated content (AIGC) information platform with Chinese characteristics as well as the information literacy education system. [Method/Process] In the field of library intelligence, with the wide application of AI technology in information service work, LLMs represented by ChatGPT have also become a hot topic of discussion. Taking the booming development of LLMs such as ChatGPT as background, we analyzed the impact of the increasing popularity of this technology on information retrieval systems and user retrieval behavior from the perspective of user information behavior by combining the technical features of LLMs with the characteristics of existing products. Literature survey and empirical analysis were used. [Results/Conclusions] The use of LLMs as information retrieval systems has unparalleled advantages over traditional products. These advantages include the ability to understand and process natural language queries, generate relevant and context-specific responses, and interact with users in a more human-like way. The application of LLMs in information retrieval systems has the potential to transform the way users search for information, influence the underlying logic, action priorities, and retrieval expectations of user information retrieval behavior. However, the existing shortcomings of LLMs in terms of reliability and accuracy still make it difficult for them to replace traditional information retrieval methods immediately. Language models may not always provide accurate and reliable answers, especially when dealing with complex or domain-specific queries. Additionally, LLMs may struggle to understand and process contextual information effectively, leading to limitations in their ability to extract relevant and context-aware insights. It is recommended to pay attention to this technology in the construction of information retrieval systems and information resources, and to explore the combination of LLMs and information services in order to cope with the changes in future user information needs and to further make full use of the value of existing information resources. Limited by the lack of expertise in the field of AI and the fact that LLMs are not yet widely used in practice in China, the research findings are only a reflection and exploration of the impact of LLMs on users' information behavior.

The Internet has become a driving force and power for the development of innovation and the promotion of transformation. University libraries have experienced great changes in terms of the service environment, contents, mode and readers’ needs under the big environment of “Internet +”, which indicates that the librarian's professional qualities need to reach a higher level. This paper put forward that the librarians were the most active resource of library and should improve the knowledge structure and professional skills and dig the users’ demands with the “Internet +” thinking and idea, and provide the high quality and whole-scale information service for the teaching and discipline construction.

[Purpose/Significance] Argument mining, a research hotspot in the field of computational linguistics, provides machine processable structured data for computational models of argument. Argument mining tasks are closely related to artificial intelligence (AI) technologies, such as natural language processing and knowledge representation. There are numerous systematic studies in academia and a clear technical realization route has come into being. New research results continue to emerge as a result of rich resources and rapid development and iteration of deep learning, large language models (LLMs), and other technologies. This study, which reviews the research status and progress of argument mining, can serve as a resource for future research and application development. [Method/Process] Through literature review, this paper systematically reviews the relevant research basis (including foundational techniques and semantic representation models), summarizes the related technical system in terms of task framework, influencing factors of technological complexity, and method classification, and then introduces the argument mining practice and application cases for specific fields and research objectives and makes a comparative analysis. Most importantly, the overall development and characteristics of this research field are summarized, with a focus on tracking the progress of multimedia argument mining in the context of the new AI environment. [Results/Conclusions] Relevant research has experienced the development of "machine learning - deep learning" and "text only - multimodal", and the levels of development and application of various fields vary much. Future research may focus on how to achieve multigranularity and multimodal content generalization, as well as how to promote its application and implementation in practice. Possible research directions include: 1) the use of LLMs in argument mining, because they exhibit significant benefits in downstream applications such as natural language processing and multimodal learning, and can also provide certain technical conditions for the generation of argument content; 2) the use of domain knowledge organization systems such as vocabulary, knowledge base and knowledge graph: with these systems, researchers can combine domain-specific argument mining models with rich knowledge structure, to strengthen semantic representation and organization improve the systematization and dig deeper into argument mining model research in the domain; 3) promoting the application research and practice of argument mining in more fields or across disciplines, and improving the retrieval and visualization of argument information, such as combining information retrieval methods with argument mining to build the next generation of argument search engines.

[Purpose/Significance] Interdisciplinary research has emerged as a key driver of knowledge innovation, its essence being integration of knowledge from different disciplines. A deep and nuanced understanding of the research content of interdisciplinary knowledge integration is essential to foster innovation beyond traditional academic boundaries. Most of the research reviews on interdisciplinary research summarize theories, concepts and indicators from the macro level, while the content of interdisciplinary knowledge integration at the micro level is scattered, and lacks systematicity and logic. Therefore, this study attempts to classify and summarize the research methods, research content and research ideas involved in order to provide reference for scholars and researchers engaged in interdisciplinary knowledge integration. [Method/Process] Based on Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) database as the primary data sources, we reviewed the relevant literature on interdisciplinary knowledge integration. By clarifying the intrinsic meaning of interdisciplinary knowledge integration, we have systematically reviewed and summarized the existing research findings from three aspects. First, research on the degree of knowledge integration mainly involves measurement methods. Second, research on the content of knowledge integration is based on citations and keywords. Third, research on the process of knowledge integration involves its integration path and process, and the characteristics of the integration stage. On this basis, this paper also summarizes the limitations and challenges of existing research, and provides research perspectives for subsequent research on interdisciplinary knowledge integration. [Results/Conclusions] The existing results have extensively explored the definition, measurement method, content, and process of interdisciplinary knowledge integration, but there are problems such as limited applicability of knowledge integration measurement methods, insufficient semantic disclosure, and the lack of systematic research on the degree of knowledge integration. Future research in this area should pay attention to the following three aspects. First, the applicability of methods for measuring interdisciplinary knowledge integration should be improved in order to better adapt to the development of interdisciplinary knowledge integration. Second, there is also a need to strengthen the study of knowledge integration from the perspective of knowledge increment, examining how new knowledge is created and how it contributes to the advancement of the area. In addition, efforts should be made to explore new theories and methods, grasp the development law of interdisciplinary knowledge integration, and expand the application scope and application value of interdisciplinary knowledge integration.

2022 年11 月8 日，中国科学院文献情报中心发布了《中国科学院作者发表OA 论文指南（2022 年版）》，开启了图书馆针对科研人员发表OA 论文的相关指南服务。在科学研究中，科研人员有论文发表、存档、发现、获取和评估的需求，图书馆除提供文献检索发现和获取服务外，还应该提供论文发表、存档和被使用情况的影响力评估等服务。

[Purpose/Significance] There is no shortage of discussions in the library industry on how the value of academic libraries can be reflected by affecting students' learning outcome. There are also excellent cases such as the "Value of Academic Libraries' Initiative", which have a great impact on the theoretical and practical research in the field, and have initially formed a research system. Due to the differences in the higher education systems of different countries and the focus of higher education talent cultivation goals in different eras, it is necessary to consider the actual situation and based on the construction background of "double first-class" university construction to explore the paths and countermeasures that are in line with the development strategy of higher education in the new era of Chinese academic libraries. Scientific measurement and evaluation of academic library services from the student-oriented perspective is an important way to clarify the key path of library value enhancement, which is helpful for libraries to optimize their services, improve their development framework and enhance their own value. [Process/Method] In view of the above background and related research deficiencies, this research focuses on how academic libraries can improve their own value in the new era to better serve the strategic development of universities, and become the core of value for various stakeholders to discuss. Meanwhile, the methods used in related research lack the in-depth analysis of the process of library influence. In order to systematically sort out the internal logic of library impact on students' learning outcome, it is essential to explore the role of process factors in it, and it is not enough to use only regression analysis to conduct data statistics. This study analyzed 985 questionnaires by using the structural equation model analysis method, built a student-oriented value impact model of academic libraries with "situation-effect-outcome" as the main line, and explored the key influencing factors. [Results/Conclusions] It is suggested that the academic libraries should enhance their value influence in the following four aspects: to strengthen the policy guidance to improve the service utilization rate of academic libraries, attach importance to the contribution and value of academic libraries in the construction of "double first-class" university service, study and build a service system that meets the needs of users, and strengthen the service support for "double first-class" university construction. In this study, the research area is set in the University of Chinese Academy of Sciences and the interviewees are set at the postgraduate education stage. Although it is representative to a certain extent, the sample scope is still limited. The applicability of the conclusions obtained from the empirical research needs to be further verified to improve the reliability of the conclusions. In the future, it is necessary to investigate the influence of more types of university libraries on students' academic performance and the influence of university libraries on students' academic performance at different stages of education. To verify whether school factors and the training level of students have an impact on the correlation between university libraries and students' academic performance, and whether the causal relationship between the cognition and evaluation of students promoted by university libraries and students' academic performance is applicable to all universities and students.

[Purpose/Significance] The new generation of generative artificial intelligence technology and its applications have entered a new stage of development. Models such as ChatGPT are leading the way in model-driven content generation, ushering in a new era and attracting discussions and attention from various sectors. Currently, there is a wealth of research on artificial intelligence from the perspectives of technological advancements, machine language, algorithm models, application scenarios and so on. However, there are relatively fewer articles specifically focusing on the application of AI generated content (AIGC) in GLAM fields, such as galleries, libraries, art museums. AI in the GLAM field is currently undergoing a transition from digitization to intelligentized level. Therefore, this paper explores the multi-scenario innovative applications of AI in the GLAM field with the theme of "Shaping the Future: AIGC and GLAM Innovative Development", which aims to contribute to the innovation research of AI and cultural, development and provide valuable insights in this field. [Method/Process] The structure of this paper consists of three parts: the evolution and current status of AIGC, the exploration of AIGC's applications in various scenarios within the GLAM field, the risks and challenges faced by AIGC and GLAM in terms of innovative development. Firstly the article provides a brief introduction to the development history of artificial intelligence, the concept of AIGC, algorithm models, typical features, and its current development status both domestically and internationally. Secondly, it presents a review and summary of existing application cases of AIGC in the GLAM field, including the use of virtual scenarios, virtual IP idols, ancient book OCR technology, VR/AR experiences in the fields of image analysis, digital humanities research, and new formats of digital cultural industries. The article analyzes how AIGC enriches the content production, innovation, and user interaction modes, as well as resource management models within GLAM. It also highlights the potential significant advantages in specific areas such as digital individuals, digital collections, and digital media. Lastly, the paper addresses the potential risks and challenges that may arise during the process of AIGC and GLAM's innovative development. These challenges encompass technical aspects, algorithmic biases, network information security, ethical and moral considerations, academic research, publishing and legal regulations. [Results/Conclusions] AIGC possesses advantages such as high efficiency, intelligence, and immersive experiences. It not only brings about transformative changes in content within the GLAM field but also breaks free from traditional interactive modes characterized by singularity and flatness in user engagement. By leveraging technologies such as VR/AR, virtual digital characters, and virtual spaces, AIGC enables diverse and three-dimensional interaction models with customs, thereby significantly expanding the applications in the GLAM field. If we appropriately and fully utilize the valuable opportunities presented by AIGC, it can play a positive role in inheriting and promoting the Chinese excellent civilization and cultural heritage. Furthermore, it will also play a crucial role in accelerating the digital transformation and upgrading of the cultural industry.

[Purpose/Significance] A more comprehensive picture of the development trend of the hotspots can be obtained through the analysis of the supply of innovative development elements. This research aims to provide references for the improvement of the disciplinary development policy systems, the scientific deployment of special plans and the optimization of the research layouts. [Method/Process] The study is based on the text analysis and information correlation method. First, the hotspots of basic research, technological innovation, and industry reports were sorted out. Then, the agglomeration and guiding role of multi-dimensional innovation elements on hotspots was studied, such as national strategic needs, policy-oriented promotion, and R&D capital investment. Accordingly, the development trend of subject hotspots was considered. [Results/Conclusions] Taking crop breeding as an example, the hotspots were divided into three categories based on this analytical method. There are intense research interests in the following directions, containing modern biological breeding technologies such as gene-editing breeding, molecular marker-assisted breeding, genome breeding, and transgenic technology, as well as mining of key genes for crop trait regulation and research on molecular regulation mechanism of traits, and crop trait improvement, in which the innovation elements are concentrated. Therefore, a series of high-quality results are expected to be produced in the future. The investments in innovation elements are highly concentrated, and the corresponding results are expected to be further expanded in the fields of the protection, utilization and accurate identification of germplasm resources, and innovations of targeted and precise breeding technologies such as molecular design and digital intelligent breeding. Classical breeding technology systems such as ploidy breeding, genetic transformation systems, tissue culture, and cell engineering breeding, as well as crop phenotype research, are calling for the new research momentum. In summary, the hotspot research of crop breeding subject in China showed the development trend of "conventional breeding + modern biotechnology breeding + information-based precision breeding".

[Purpose/Significance] The novel coronavirus pneumonia has accelerated the changes in the way of information resources construction and information acquisition, and has greatly stimulated the development of open access activities. To grasp the trend of information resources construction in the post epidemic era, we observed the open access developments during the epidemic period. [Method/Process] Using website survey method to obtain and analyze the overseas open access developments. [Results/Conclusions] During the epidemic period, the trend of open access was mainly reflected in six aspects: the large-scale increase of capital investment, the construction and improvement of network infrastructure, the opening and integration of network resources, the innovation of online resource service, the cooperation and co-construction of various departments and institutions, and the accelerating of the development of open access.

[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] By analyzing the research situation of global smart agriculture, this paper aims to provide data reference and information support for scientific and technological innovation and management decision-making in the field of smart agriculture in China. [Method/Process] Based on the Web of Science database, this paper makes an in-depth analysis and visualization display of the global smart agriculture research overview, research group competitiveness, research focus and hot spots by using the methods of bibliometrics and knowledge mapping. [Results/Conclusions] Smart agriculture has drawn increasing interest among researchers both in and outside of China since 2010. The productivity and influence of China and the United States are far ahead of those of other countries in the world. The productivity and influence of China Agricultural University, Zhejiang University and the United States Department of Agriculture have obvious advantages. HE Y, JAYAS D S, and BLASCO J have higher productivity and influence, but the quality of papers of Chinese institutions and scholars is generally not rated as high. Agronomy, computer science, engineering, food science and technology, and chemistry are the key disciplines. Computers and Electronics in Agriculture is the most competitive journal. The global and China's smart agriculture can be divided into three research topics, but the research focus is different; the agricultural Internet of things as a representative of information perception, analysis and control technology is a research hotspot in recent years; agricultural sensor independent research and development, data mining analysis and sharing technology model, smart control algorithm model and system integration, smart agricultural machinery equipment and agriculture autonomous research and development of robots and smart agricultural science and technology service mode are the key research directions for further development of smart agriculture in China.

[Purpose/Significance] Research on the governance system and policy of data elements circulation is an important issue to be solved in the field of data governance in China at present, and research on the policy formulation and governance system of its circulation plays an important role in grasping the security of data circulation in China and promoting the market-oriented allocation of data elements. [Method/Process] First, this study is based on the reality of China's data factor market security and trustworthy, autonomous and controllable requirements. Based on the analysis of the security risk of data circulation, we put forward the data factor market risk governance countermeasures of the "security-fairness-efficiency" triangular structure. Then, based on the three-level system and five-dimensional standards of data factor market governance, we put forward the method of docking the security governance with the trusted ecosystem and the international data governance rule system for cross-border data flow, and constructed a governance system with Chinese characteristics for the national unified data factor market. [Results/Conclusions] Facing the security risks in data sovereignty, data market and data circulation, we should identify and monitor data sovereignty disputes and the operation situation of the circulation market, and establish a multi-party cooperative and joint governance model led by the government, operated by the platform owner, the main body of the enterprise and the participation of users. When assessing the market for data elements, a mixed assessment approach should be adopted, combining qualitative and quantitative aspects, combining expert opinion with objective data, and comparing objectives with results. For different types of data, the control boundaries and scope of use should be clarified in a hierarchical manner, and data ownership, use and income should be clarified; at the same time, a confirmation platform of data rights should be established to audit and register and certify the data service subject, data circulation process, and data circulation rules so as to ensure that the normative nature of data circulation is maintained.

[Purpose/Significance] This study aims to complement the shortcomings existing in the current research, such as the limited research on the micro-level of enabling rural revitalization and the unclear impact of knowledge services on rural revitalization, in order to strengthen the understanding of the mechanism and path of enabling rural revitalization by agricultural intelligent knowledge services, and to provide theoretical reference and practical solutions for better enabling rural revitalization by the knowledge services and better developing agricultural intelligent knowledge services. [Method/Process] This paper first reviews the literature to understand the current research status of enabling rural revitalization and knowledge services affecting rural revitalization, and then determines the research focus. Based on the three perspectives of data, application and service, this paper explores the enabling basis of agricultural intelligent knowledge services, analyzes the enabling mechanism from the three aspects of agricultural production, farmer life and rural governance, clarifies the necessity and possibility of agricultural intelligent knowledge services enabling rural revitalization, and constructs the internal mechanism of the knowledge services enabling rural revitalization. Moreover, the predicament of agricultural intelligent knowledge services enabling rural revitalization is analyzed from the internal and external aspects, and the performance and impact of these dilemmas are analyzed. Finally, according to the analysis results, the optimization path is proposed from the three dimensions of enabling demand, scene and effect to alleviate the problem. [Results/Conclusions] Agricultural knowledge services have entered the intelligent stage, presenting the characteristics of intelligence, personalization and precision, and have established a good foundation for enabling rural revitalization in terms of data, application and service. By enabling the development of new production modes, the transformation of farmers' multiple identities, and the equal participation of multiple subjects in governance, digital intelligence momentum will be injected into the comprehensive promotion of rural revitalization. However, from the internal perspective of agricultural intelligent knowledge services, there are some shortcomings such as obvious user group bias and the lack of service content. From the external point of view of the knowledge services, there are the challenges of unbalanced infrastructure and low user literacy. These deficiencies and challenges limit the enabling role of agricultural intelligent knowledge services in rural revitalization, which will limit the maximum play of the enabling effects. Accordingly, this paper provides the corresponding solution. First, in-depth research could be carried out on rural revitalization stakeholders and strategic content to clarify the empowerment needs. Second, integrated service platform could be built to integrate and empower scenarios. Third, the promotion model could be constructed to enhance the enabling effect to alleviate the empowerment dilemma.