From May 20 to 23, 2026, the 8th Hundred-County Library Directors Forum of the Library Society of China was held in Jiangshan, Zhejiang. The forum, themed “New Ecosystem for High-Quality Development of County-Level Libraries During the 15th Five-Year Plan Period”, featured keynote speeches, thematic seminars, and panel dialogues to explore the connotation, positioning, and development paths of county-level libraries. In the keynote session, three experts provided macro-level guidance for the future development of county libraries from three perspectives: national strategic foresight, grassroots value reconstruction, and provincial-level practical innovation. In the thematic seminar session, 18 county library directors focused on resource development, spatial reconstruction, service innovation, and mechanism optimization, sharing their innovative practices for improving the quality and efficiency of county library services. During the 15th Five-Year Plan period, high-quality development of county libraries represents differentiated innovation rooted in local realities, responsive to public needs, and leveraging local resources. It is also an essential path that requires confronting structural challenges and moving from “quantitative expansion” to “qualitative leap”.

In the context of artificial intelligence （AI） deeply empowering the field of information management, information description work in libraries is undergoing a technology-driven transformation, placing new demands on the competency structure and professional qualities of relevant personnel. This paper focuses on information description positions in libraries both in China and abroad under the background of AI empowerment, systematically collecting and analyzing recruitment information.It conducts a comparative analysis of job-related elements such as job titles and responsibilities, as well as competency requirements including educational background, work experience, knowledge and skills, and overall professional qualities, to reveal the competency requirements and evolving trends of information description positions in foreign libraries under the influence of AI.Based on these findings, the paper proposes recommendations for the development of information description professionals in China, with a view to advancing the construction of the information resource management education system and promoting the high-quality development of the library sector.

To address the problems of fragmented systems, low coordination efficiency, and high operational costs in logistics support for multi-campus university libraries, Zhejiang University of Technology Library has developed a smart logistics support system based on the WeChat official account platform. The system adopts a lightweight architecture of “one entry, three services, and one backend”. Using the WeChat platform as the unified service entry point, it enables precise service access for users with different roles across multiple campuses through identity authentication. The system integrates three core service modules, that is personnel management, fire safety, and equipment maintenance, covering key operational processes such as shift scheduling and attendance management, security alerts, and equipment repair requests. A unified backend supports centralized data management and monitoring. Practical application shows that the system effectively integrates existing resources and enables digital, mobile, and intelligent management of logistics tasks, significantly improving coordination efficiency, response speed, and decision-making capability. It provides a practical solution that may serve as a reference for logistics system development in similar libraries.

With the deepening of population aging in China, mental health issues among the elderly have become increasingly prominent. Based on DBO theory, this paper analyzes the expectations and beliefs of public libraries and the elderly population in the field of mental health, and explores their motivations, opportunities, and the mechanisms through which these are manifested. According to the specific behavioral characteristics of both parties under different mechanisms, four types of interaction are identified： “dual-fit matching”, “opportunistic resource selection”, “resource spillover gifting” and “dual-stagnation isolation”. On the basis of this theoretical analysis, and from the perspective of enhancing the motivation of both the elderly population and public libraries, the paper explores strategies for optimizing library services to support the mental health of the elderly. The aim is to achieve a stable, close, and effective “highmotivation” connection between public libraries and the elderly population.

Primary school students are the primary target group through which libraries fulfill their educational function, and library user education is a key pathway for cultivating their lifelong learning abilities. Currenty, library user education for primary school students often faces issues such as fragmented teaching content, limited instructional approaches, and a lack of alignment with students’ cognitive development. Guided by Bloom’s Taxonomy of Educational Objectives, this paper takes the Primary School Affiliated to Guangzhou University as a case study. It constructs and implements a hierarchical and progressive model that integrates both in-class and extracurricular learning, systematically elaborating on the structure and implementation of this model. By comparing data from previous years and analyzing teacher and student satisfaction surveys, the paper concludes that Bloom’s Taxonomy of Educational Objectives is applicable to library user education for primary school students and demonstrates better outcomes than the traditional model.

Enhancing children’s scientific literacy is a fundamental basis for building an innovation-driven nation and a strong science and technology sector. As an important venue for social education, public libraries play a key role in promoting children’s popular science reading. This paper investigates provincial-level libraries through online surveys and literature review. Drawing on the Wuli-Shili-Renli （Physical-Matter-Human） methodological framework, it systematically analyzes the children’s popular science reading promotion activities organized by these libraries. In response to the shortcomings identified in current practices, the paper proposes optimization strategies from three dimensions： strengthening the resource foundation and improving technological and spatial environments; innovating activity systems and deepening the integration of online and offline services; and integrating multi-party collaboration to enhance the quality and precision of targeted services.

Against the backdrop of cross-regional cultural exchange and the coordinated development of child-friendly services, public libraries face an urgent need to reshape cross-regional cooperation based on the concept of collaborative governance. This paper takes the "Weihai-Xinjiang Children’s Book Drifting" Project of Weihai Library as a case study, examining its organizational structure, operational processes, and resource coordination mechanisms. The paper finds that the project is supported by a multi-stakeholder network characterized by “government guidance-library leadership-school implementation-social participation”. Through institutionalized agreements, standardized procedures, and resourcesharing mechanisms, services such as book drifting, shared reading exchanges, and cultural experiences are embedded within a replicable and actionable practical framework, enhancing the sustainability and evaluability of cross-regional children’s reading promotion and cultural exchange. Looking forward, efforts should focus on further deepening the cross-regional collaborative network, strengthening the contextual integration of cultural elements, and expanding study travel programs and integrated online-offline services, thereby comprehensively enhancing the effectiveness of public libraries in cultural dissemination and social service provision.

The development of AI technologies has created a historic opportunity for the innovative upgrading of patent services in university libraries. The semantic understanding capabilities of large language models, together with the autonomous collaborative features of intelligent agents, are reshaping the entire patent service process. The paper systematically examines how AI improves the accuracy of patent retrieval and analysis, enhances the forward-looking and targeted nature of patent navigation, and bridges the “last mile” in the transformation of patent outcomes. On this basis, it proposes an innovative model for patent services in university libraries characterized by “data-driven approaches, multiactor collaboration, and full-process services,” and puts forward implementation paths from three dimensions： technological support, scenario-based application, and ecosystem coordination. The paper aims to provide theoretical reference and practical guidance for university libraries to enhance the effectiveness of patent services and to support scientific research innovation and industrial upgrading in the AI era.

Driven by the wave of digitalization and intelligent transformation, university library services are at a critical stage of shifting from traditional to smart modes. The theories of information, knowledge, and service ecology provide a new theoretical perspective and practical framework for constructing smart service models in university libraries. Drawing on these three theoretical foundations, this paper constructs a smart service model for university libraries, comprising smart participants, smart resources, and smart environments as core components. Through sensitivity analysis based on a system dynamics model, the paper further identifies user capability, institutional environment, service quality, and technology application as key factors for system optimization, and establishes an operational mechanism model for smart services accordingly. Building on these findings, four application strategies are proposed： forming a multidisciplinary collaborative service team, establishing a smart service assurance mechanism, implementing a smart service promotion plan, and expanding open service functions to meet social needs, so as to enhance service quality and efficiency, and to promote the intelligent and ecological transformation of university libraries.

The development of AI technologies has created a historic opportunity for the innovative upgrading of patent services in university libraries. The semantic understanding capabilities of large language models, together with the autonomous collaborative features of intelligent agents, are reshaping the entire patent service process. The paper systematically examines how AI improves the accuracy of patent retrieval and analysis, enhances the forward-looking and targeted nature of patent navigation, and bridges the “last mile” in the transformation of patent outcomes. On this basis, it proposes an innovative model for patent services in university libraries characterized by “data-driven approaches, multiactor collaboration, and full-process services,” and puts forward implementation paths from three dimensions： technological support, scenario-based application, and ecosystem coordination. The paper aims to provide theoretical reference and practical guidance for university libraries to enhance the effectiveness of patent services and to support scientific research innovation and industrial upgrading in the AI era.

Due to differences in disciplinary background, academic stage, and research interests, university faculty, students, and external users exhibit distinct and segmented characteristics in the activation and utilization of ancient books, forming different user groups such as learning-oriented, teaching-oriented, and research-oriented audiences. University libraries should respond to these group characteristics by adopting targeted strategies, including designing personalized activation content, exploring differentiated activation approaches, and creating diversified activation scenarios. These strategies can better meet the activation needs of different user groups, enhance the effectiveness of ancient book activation in university libraries, and promote the deeper utilization of ancient book resources.

Yang Shi Yi Zhuan by Yang Jian of the Song Dynasty circulated in relatively few editions because Zhu Xi once commented that its “texts may be destroyed”. However, from the Ming Dynasty onward, “the book circulated widely”. The Chinese Ancient Books Resource Database contains digitized images of four editions of Yang Shi Yi Zhuan. The first three were successively collected by today’s National Library of China, while the fourth is held by the Harvard-Yenching Library of Harvard University.Among the three copies once collected by the National Library of China, one is a Ming Dynasty manuscript formerly owned by the Li family of Yangu Tang in Tianjin. It entered the collection in the early 1930s and was later sent to the United States as part of the movement of rare books abroad; it is now deposited at the Taipei Palace Museum. Another is a Ming Dynasty printed edition from the collection of Tieqin Tongjian Lou, acquired between 1933 and 1959. The third is a Ming Dynasty printed edition from the collection of Dansheng Tang, acquired between 1959 and 1987. The copy held by the Harvard-Yenching Library was formerly collected by the Japanese scholars Satō Issai of Aijitsu-rō and Anzai Un'en. All four editions of Yang Shi Yi Zhuan were successively preserved by well-known bibliophiles and therefore possess significant cultural relic value as well as considerable value for textual and documentary research.