[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.

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.

[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.

[Purpose/Significance] In the information age, citizens have been given a unique identity: digital citizenship. As important participants in the digital society, digital natives have attracted researchers' extensive attention for their civic literacy online. This research aims to complement the research of digital citizenship, providing empirical support for promoting digital citizenship education and carrying forward educational informationization and the construction of a digital society scientifically. [Method/Process] Taking 995 college students as research objects, this study adopts structural equation model and fuzzy-set qualitative comparative analysis methods to investigate the impact of their digital nativities on their digital citizenship literacy and the configuration path leading to high digital citizen literacy, respectively. [Results/Conclusions] The results of structural equation model show that contemporary college students have a high level of digital nativity and digital citizenship literacy, and that the digital nativity can significantly predict the digital citizenship literacy. Besides, father's income and father's education background play a moderating role between digital nativity and digital citizenship literacy. Findings of fuzzy-set qualitative comparative analysis research show that there are two kinds of equivalent configuration paths leading to high digital citizenship literacy. The antecedent variables included in the first type of path (i.e., S1: growing up with technology * reliant on graphics for communication * comfortable with multitasking * thriving on instant gratifications and rewards) are exactly four attributes of digital nativity, which means that when college students' digital nativity is rated as high level, they will display a high digital citizenship literacy. Compared with the first type of path, the second type of path (S2a:growing up with technology * comfortable with multitasking * thriving on instant gratifications and rewards * gender * father's educational background * father's income, and S2b: ~growing up with technology * ~reliant on graphics for communication * comfortable with multitasking * thriving on instant gratifications and rewards * gender * ~father's educational background * father's income) includes fewer attributes of digital nativity but three other variables: gender, father's educational background and father's income. This paths means that the combination effect of students' individual characteristics can lead to higher digital citizenship literacy. In other words, when the difference in students' digital nativity is not statistically significant, the combination effect of gender, father's educational background and father's income variables can play a complementary role, finally resulting in higher digital citizenship literacy. In addition, two attributes of digital nativity: multi-tasking and instant gratification and reward, are the most effective for improving digital citizenship literacy. This study is a self-reporting study, which is inevitably affected by people's subjective judgment. In addition, the research sample needs to be expanded. Further study will consider introducing third-party evaluation to objectively evaluate the digital citizenship literacy of the subjects and collect more ideal samples which can represent the national college students better.

[Purpose/Significance] To follow the trends of global digital humanities practice, advance the in-depth fusion of multi-sources, multi-forms, and multi-lingual knowledge in Tibetan Studies, and promote the modernization of Tibetan Studies in China. [Method/Process] Based on concepts and methods of digital humanities, the mechanism and approaches of multilingual knowledge fusion in Tibetan Studies are analyzed in this paper. Based on the top-level ontology framework of digital humanities (DHTO), a knowledge ontology framework in Tibetan Studies is constructed. Experiments on the fusion and retrieval of Tibetan, Chinese and English trilingual knowledge instances were carried out. [Results/Conclusions] The top-level ontology framework of digital humanities (DHTO) consists of 6 types of entities: time, location, organizations, individuals, things, and events. Knowledge ontology in Tibetan Studies can be expanded layer by layer based on the DHTO framework and the cross-language semantic connection can be achieved by multilingual equivalent name properties.

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 +".

[Purpose/Significance] Digital communities have become a way for enterprises to manage users efficiently. The existing research on digital community rarely considers the importance of user behavior information and user's customer life cycle value to the mining of user preferences in digital community. This research aims to give full play to the digital community's characteristics such as intuitive, convenient, interesting, and interactive properties so that the research results can benefit every user in their use of the digital community and every enterprise in their user management. [Method/Process] Aiming at the user groups in digital community, this paper proposes a preference mining model ClV-Preference mining (CLV-PM) based on Customer Lifetime Value (CLV). First, in order to reflect the real preferences of users, the three indicators of the RFM model are used to quantify user behavior information, and the group characteristics of users are mined through K-mean ++ algorithm to generate user value category labels. Second, in order to consider the timeliness and difference of users and enhance the model's cognition of preferences, this paper uses the entropy weight method to solve the indicator weights of each activity, obtains user CLV to construct user-project scoring matrix, and uses the collaborative filtering algorithm to predict user preferences. Finally, based on the user value category, user historical preference and user forecast preference, the user preference profile of target users in digital community is generated, and feasible suggestions are put forward for the operation and maintenance of target users according to the user preference profile. [Results/Conclusions] The user dataset of the "Wechat community" management platform can be divided into four user value categories: important value users, low value users, returned users and important retention users. Target users 16254 are important value users, and the operation strategy of "retention and maintenance" is adopted. The historical preferences are happy hop, sec-kill and other activities; the prediction preference is flying chess battle, guessing code map and other activities; the target user preference sketch provides the basis for the operation and maintenance of users in the digital community. In terms of data source, the CLV-PM model proposed in this paper directly reflects user preferences based on user behavior information and reduces the problem of score distortion. To provide a new perspective for the research of user behavior in digital community, the construction of user-project scoring matrix based on user CLV fully considers the user value of digital community and provides a new direction for the extension and application of CLV. However, due to limited research space, this paper did not conduct model evaluation research on the proposed model, which can be further discussed in subsequent studies.

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.

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

[Purpose/Significance] In the ever-evolving realm of higher education, the pronounced significance of methodically evaluating talented people in scientific and technological (S&T) fields within academic institutions has risen to paramount importance. This research endeavors to intricately dissect the manifold factors of shaping the evaluation of talented people in Chinese colleges and universities. Simultaneously, it seeks to meticulously design a comprehensive indicator system custom-tailored to this unique milieu. The dual objective encompasses unraveling the intricate dynamics underpinning the evaluation of talented people in S&T fields and invigorating talent cultivation and igniting innovation in scientific research across the academic landscape. [Method/Process] Guided by a meticulous review of both domestic and international advancements in the domain of the evaluation of talented people in S&T fields in higher education, this paper diligently dissects the intricate interplay of systems, theories, methodologies, and evaluation frameworks within Chinese academic institutions. By meticulously addressing associated challenges, conducting extensive discourse on influential variables, and meticulously examining facets of S&T prowess assessment within universities, this study culminates in the construction of an evaluation indicator system tailored to the unique nature of institutions of Chinese higher education. [Results/Conclusions] The findings echo the existence of critical gaps in the ongoing evaluation of talented people in S&T fields within Chinese universities. These noteworthy limitations encapsulate the intricate equilibrium sought between objectivity and subjectivity, the imperative for indicators to be comprehensive yet operationally feasible, the mandate for assessment to be dynamic and timely, and the essentiality of embracing multi-dimensional evaluation. This compels us to chart a trajectory towards the future where the development of an evaluation system of talented people in S&T fields rests on the bedrock of data-driven and intelligent assessment paradigms. This envisioned system must incorporate multi-dimensional evaluation approaches, integrate behavioral assessment modalities, deploy dynamic evaluation mechanisms, and, equally, factor in dimensions of social influence, sustainability, and internationalization. As we navigate this academic journey, further empirical research and meticulous indicator validation exercises must be undertaken within the realm of the evaluation of talented people in S&T fields in Chinese higher education institutions. These empirical undertakings, by virtue of their in-depth insights, are poised to illuminate our path forward, serving as compasses guiding the development of talented people in S&T fields in China's academic sphere. The journey towards comprehensive evaluation necessitates data-driven intelligence, multifaceted assessment perspectives, and a clear alignment with the pulse of societal dynamics and global imperatives. The culmination of these efforts will invariably shape the trajectory of the progression of talented people in S&T fields, ensuring that they remain at the vanguard of innovation and advancement. In essence, the evaluation of talented people within Chinese higher education institutions is primed for an evolution characterized by acumen, innovation, and internationalization. Through the harmonious amalgamation of rigorous research methodologies and adaptive frameworks, the academic community is poised to craft a transformative path that enriches talent development, propels research breakthroughs, and fuels the advancement of knowledge-based societies.

[Purpose/Significance] The application of intelligent robots in library reference services has expanded the knowledge base for reference services and enhanced the user analysis ability of reference librarians. It provides accurate and personalized consultation services according to user needs and behavior patterns. It has improved the effectiveness, quality and satisfaction of reference services. [Method/Process] This paper discussed the shortcomings of traditional reference services. Applying the knowledge base construction and user demand analysis capabilities of intelligent consulting robots to reference services can effectively expand the boundaries of reference services, and improve the performance and the self-learning level of reference services. [Results/Conclusions] In the future, intelligent consulting robots need to be closely integrated with emerging information technologies, integrating user profiles, large and small data analysis, ontology and intelligent hardware, etc., to continuously improve the information problem solving capabilities and information service levels of intelligent consulting robots.

[Purpose/Significance] With the development of politics and economy, the public's attention to health information has significantly increased. The public's behavior of searching, sharing, avoiding, and collaborating on health information has attracted widespread attention. In the ubiquitous information environment, the impact of information behavior interactivity is also gradually increasing. The conflict and control of interpersonal information behavior are gradually receiving attention. Among various types of interpersonal relationships, conflicts and controls in family health information behavior are more prominent, with intergenerational conflicts and controls being the most typical. Therefore, taking the intergenerational relationship between parents and children as the starting point, this paper explores the causes of intergenerational conflict health information behavior and its mechanism in the implementation/response process of social control. An analysis of intergenerational conflict health information behavior can provide assistance for the public to better handle intergenerational relationships, improve the efficiency of parent-child health information communication, and provide certain reference for research on interpersonal health information behavior based on interactivity. [Method/Process] On the basis of literature review, centering on the interactive characteristics of intergenerational health information behavior, from the perspective of information conflict and social control, and taking the whole process of health information behavior interaction of different subjects as the underlying logic, this paper puts forward five core issues. A questionnaire was designed based on the core questions. From the perspective of parents as implementers of control behavior, we investigated the attitudes and reactions of children towards family conflict health information behavior. From the perspective of children as implementers of control behavior, we investigated parents' attitudes and responses to conflict health information behavior in their families. [Results/Conclusions] It is found that there are differences among family members in the information acquisition situation, information source selection and judgment in the preparatory process of implementing/responding to social control. In the process of implementing/responding to social control, family members will choose different ways to implement/respond to different social control, such as information sharing, information evaluation, information avoidance, and information utilization. After implementing/coping with social control, compared with children, parents' sharing behavior and control behavior are more likely to be affected by children's attitudes. Intergenerational conflict health information behavior plays an important role in the implementation/response process of social control. Based on the analysis, the analysis model of intergenerational conflict health information behavior was constructed, and the causes of intergenerational conflict health information behavior and its mechanism in the implementation of social control were explained to some extent. Interpersonal communication is an important means to alleviate intergenerational health information conflict. In the future, qualitative research methods can be used to supplement and improve the model, and more in-depth research and exploration can be conducted around issues such as intergenerational conflict health information behavior and intergenerational information communication.

In current society,Rural Library shows out so many problems and defects,so under the background of Internet+ Era,how to use existing technology to improve the construction of Rural Library digitization and provide more convenient and thoughtful service to the peasant readers, so as to promote the sustainable development of Rural Library. This article will start from the investigation and analysis of the status quo about the Rural Library, carry on the elaboration to the digital Rural Library construction of content resources and the realization of network, mode of operation, improve the management mechanism, in order to provide reference for the construction of Rural Library digitalization.

[Purpose/Significance] Open science is shaping a new academic innovation ecology, aiming to promote open exchange and use of knowledge, emphasize open and cooperative research methods, and thus accelerate scientific innovation. Open innovation emphasizes the flow of knowledge across organizational boundaries. Both of them have obvious internal consistency and regard the free flow of knowledge as the driving factor of innovation. However, there are few studies on the relationship between open science and open innovation at present. They are often studied separately in the scientific research environment and the enterprise environment, ignoring the common role and integration of the two in the open innovation ecology. This paper aims to analyze the consistency of the connotation of open science and open innovation, study the mechanism of open science for innovation ecology, and provide reference for building an open science innovation ecology integrating open science and open innovation, as well as for developing open science governance for scientific and technological innovation. [Method/Process] First, based on the existing connotation of open science, this paper established the connotation analysis framework of "resource-process-subject-behavior" of open science, and put forward four key elements and principles of open science: "openness of scientific knowledge resources - transparency of research process - inclusiveness of participants - collaboration of research behavior". Then it de-constructed open innovation according to the connotation analysis framework of open science, and put forward four key elements of innovation knowledge resources, innovation process, innovation subject and innovation activities, as well as the principle of transparent and open innovation knowledge resources and innovation process, and value of co-creation based on the inclusiveness of innovation subject. Finally, according to the four principles of open science, the "Open Science Spectrum" was established to clarify the consistency and synergy of both sides from the perspective of openness. Besides, in order to understand the joint action mechanism of open science and open innovation in the innovation ecology, this paper analyzes the open science innovation mechanism in different innovation stages from the perspective of innovation process, including the open science mechanism in the open science research stage, the mechanism in the technology research and development stage, the citizen science mechanism in the social inclusion stage, and the responsible innovation mechanism covering the whole process of innovation. [Results/Conclusions] The innovation ecology of open science has come into being. Open science and open innovation have consistency in connotation and synergy in openness. Under the open science innovation ecology, open science plays a role in different stages of innovation. Explicit knowledge and tacit knowledge are open and flowing in different stages of innovation, accelerating open science innovation, open innovation, public innovation and responsible innovation. The inadequacy of this paper is that the relevant research is still at the theoretical level. For example, the spectrum of open science needs to be refined to an assessable and operable granularity, and the mechanism of open science for innovation ecology also needs more cases to verify. At the same time, based on this research, we need to further explore the governance mechanism of open science under the innovation system and the linkage strategy of science, industry, society and policy under the open innovation ecology.

[Purpose/Significance] VOSviewer is a software tool for constructing and visualizing bibliometric networks which may include citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer Online creates the possibility to embed interactive visualizations on online platforms. The software's powerful functions in processing literature information, coupled with free and continuous improvement, are increasingly favored by experts and scholars in scientometrics and domain analysis. It provides a reference for users to use this tool for scientific research through quantitative analysis of VOSviewer's papers and the analysis of its knowledge base structure. [Method/Process] First we collected relevant documents from the Web of Science database, and then used the document co-citation network to obtain some documents and analyze the important documents in this field based on bibliometric analysis. [Results/Conclusions] It was found that the number of papers in this field has entered an explosive period of application after a relatively slow growth stage. It has been widely used by scholars in many countries and disciplines. The research topics involved the novel corona virus epidemic, sustainability, social media, sustainable development and supply chain, etc. Bibliometric theory and methods, software principles, database and network analysis have formed relatively solid research foundation in this field. There is also a great deal of misuse in the applied literature. For example, a survey of the highly productive scholars' papers found that the papers are often a direct interpretation of the results generated by the software, lacking the process of data cleaning and disambiguation, and there are a large number of errors such as duplicate authors, unprocessed singular and plural topics. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. However, there are few applied research results in this area.VOSviewer Online has been integrated in Digital Science's Dimensions platform, making it very easy for Dimensions users to create VOSviewer visualizations of co-authorship networks and citation networks.

At present, the domestic field of LIS rarely studies a prestigious international academic journal. The paper selected the Journal of Documentation of Britain as the research object, to find the law of it’s development and changes and put forward that the domestic LIS journals should coordinate the relationship between the quantity and quality of the literature, build core author groups, promote the process of internationalization of journals and take the macro and micro perspective of journal research into account and so on.

[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.

University is the main force of China's basic research and advanced technology development with high general research level, which plays the leading role in the supply, innovation and dissemination of knowledge. Thus, it is the major consumer of patent information service. In view of the current situations of decentralized patent information service departments and resource in university, unclear division between the service sectors and non-professional service, the Vensim software was used to establish and analyze the patent information service mode based on the theory of system dynamics. The results showed that increasing the timeliness of feedback mechanism, enlarging the embedded scope for subject and appropriately improving the coordination mechanism were in favor of service ability promotion.

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

[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.

[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] 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] Digital technology has become an important driving force in the utilization of data production elements. To make full use of data resources, the underlying accompanying problem is rights management. In practice, the ownership and the right to use of data resource are separated in the circulation process. It has become an urgent problem to conduct data resource management activities based on reasonable and legal protection of users' rights. [Method/Process] Based on the general framework of "practical basis - abstract analysis - general concrete understanding", this paper firstly identified four practice statuses of distributed big data assets as followings: 1) the application of new technology leading to facilitating platforms; 2) attention needed to paid to intellectual properties of multiple users' groups; 3) users' needs to be satisfied on various contexts. For example, conducting resource procurement, collection, data processing and layout of resource allocation systems based on cloud service platforms; 4) maintainance and management of high quality data sets, including self-built and imported resources, the negotiation of ownership and use rights, and emphasis on the rights strategies. Next, this study conducted abstract analysis on the generalized idea of basic dimensions of data rights management from four aspects, namely, technical resource regulation, reasonable use boundary, complexity of rights, and analysis of use rights. [Results/Conclusions] Based on the abstract analysis, this paper put forward and explained four successive solutions at data resource management institute level, as described below. 1) the principle and terms of data policy, which include but not limited to general statement, policies of content use, policy statement on metadata, social media policies, and terms of service; 2) the typical contexts and content planning of rights potofolio. This paper took the resource procurement business of academic libraries as an example to illustrate and summarize the four content planning items on rights portfolio: strategic plan, operational policies, data policies, end-user policies; and 3) the allocation management of data assets, which lays the key part of data asset management. In this paper, we consider that data asset management refer to description and management of the constituent terms of data assets and the relationship between terms. The cost structure of data asset management contains tangible cost (such as consulting, software and hardware purchase fee, and digital resources purchase fee) and intangible cost (such as indirect human resource costs, risks, social credit, and loss compensation); and 4) finally, the establishment standard, working process, associated contrasts and regulations, and the evaluation measurements of data asset management businesses at the institute level. Such solutions are proposed to provide some inspirations to data resource management institutes（such as libraries） under the distributed big data circumstance.

[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] Autoethnography offers an anthropological approach to illuminating researchers' subjectivity, self-consciousness and personal experience. As a kind of "evocative" practice, it has not been paid attention in academic field of information science. [Method/Process] This study analyzes the application of autoethnography in the information science research in terms of research topics, forms, advantages and limitations. [Results/Conclusions] The superiority of self-ethnography is reflected in research perspectives, research methods, and the presentation of research findings, and its applicability depends on the nature of research subject and of the research question.

[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] In order to meet the scientific and technological information needs of different subjects and improve the quality of scientific and technological novelty search, the challenges to the targeted scientific and technological novelty search are analyzed and corresponding countermeasures are put forward. [Method/Process] We introduce the connotation of targeted scientific and technological novelty search, sort out the methods of the novelty search, and analyze the challenges and put forward countermeasures. [Results/Conclusions] The challenges to the targeted scientific and technological novelty search include the precise search for the in-depth novelty content, the wide intersection of subject knowledge, the novelty search process focused on value and data, prevention of omission of literature retrieval in other languages, and consideration on both quality and efficiency. The targeted scientific and technological novelty search needs to build targeted literature resources, develop team cooperation services, strengthen the job competence of novelty searchers, and formulate guidelines and evaluation standards.

[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] 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.

Based on the interview data of 21 digital youths, this study constructs a grounded theoretical framework for the influencing factors of digital youth internet reading using the grounded theory research method. The framework covers the three stages of digital youth reading using the internet, involving 3 the adjustment relationship, a causal relationship, profoundly demonstrates the relationship between the psychological influence factors of digital youth internet reading, and provides reference and reference for the society and related internet reading service subjects in theory and practice.

Re-examination of manuscripts revised according to the peer-reviewers, comments has received increasing emphasis from editors at home and abroad. The necessity for re-review was analyzed from the aspects of increasing the academic quality of manuscript, promoting the interaction between the reviewer and the author and reducing the workload of final review. The workflow to handle the manuscripts needing revision was proposed from the aspects of quality judgment, revision and re-review for the editors. The possibility of increasing workload of the reviewers and prolonging the publication delay were discussed.

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

[Purpose/Significance] 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.

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.

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] 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] 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.

This paper reviewed and summarized the current research situation of information literacy education in China's colleges and universities under the big data environment, and then grasped the development trend of related fields, the focus of contents, the results of this stage and the weak link of study, so as to provide the direction for future research and practice, and accelerate the pace of information literacy education for college students.