Chen Ying emphasizes that during the “15th Five-Year Plan” period, the nationwide library community should align with the requirements of the new era to better fulfill their responsibilities of creating positive energy and promoting mainstream values. Libraries must enhance the preservation and utilization of Chinese classics, invigorating traditional Chinese culture with renewed vitality. The implementation of the “National Smart Library System” project, leveraging digital and intelligent technologies to improve service quality, is essential. Furthermore, libraries should act as the primary venue for promoting nationwide reading, contributing to the creation of a reading-friendly society and a culturally strong nation. Chen Chao positions public libraries as “the people’s university” and “the people’s palace”, functioning as both knowledge and social infrastructure. During this transformative period marked by global restructuring, public libraries must go beyond addressing literacy and the digital divide through reading services to help tackle broader social issues, fostering social equity, inclusion, and harmony. Mao Yajun, from five perspectives—urban-rural integration and community-oriented services; socialized education and societal re-education; deep integration and multifunctionality; precise intelligence and data visualization; new think tank development and distinctive branding—outlines a vision for the “15th Five-Year Plan”. She suggests that public libraries should be guided by high-level positioning, adopt integrated development as a pathway, and employ global perspectives and strategic thinking to construct a modernized library system with Chinese characteristics. Zhang Bingmei identifies two major challenges for libraries during the “15th Five-Year Plan” period: artificial intelligence and the involvement of social forces. Libraries must adhere to their core mission of document collection and preservation, adapt to new tools like AI, effectively utilize them, and refocus their efforts on their societal education responsibilities. Fang Jiazhong begins with a situational analysis, summarizing new goals, tasks, and requirements for public libraries during the “15th Five-Year Plan”. Using the “elements theory” from library science, he identifies new elements and values in library development. Applying systems theory frameworks involving elements, structure, and functions, he proposes that libraries should expand new momentum and functions by focusing on structural innovation, thereby enhancing their role and influence. Peng Yin suggests that provincial public libraries should explore “cross-boundary integration”, “unlimited possibilities”, and “organic growth”. They should prioritize local document resource system construction, strengthen collection resource updates, extend outreach to create innovative reading experiences, and foster a new path for cultivating interdisciplinary talent by reinforcing the development of key library personnel.Chu Shuqing argues that public libraries should proactively respond to the challenges and opportunities of the “15th Five-Year Plan” by exploring professionalized and socialized operational models, constructing public cultural communities, deepening library industry consortiums, empowering smart development with technology, and fully fulfilling their societal education mission. Zhang Yan highlights that urban public libraries, when planning for the future, should align with national and local cultural strategies. They should adopt a goal-oriented, problem-solving, and demand-driven approach to planning visions, principles, missions, and action plans at both institutional and citywide service system levels. Furthermore, She proposes specific ideas from two angles: how new situations require new mechanisms, and how new mechanisms can spark new vitality. Wang Hai recommends that public libraries focus on three priorities during the “15th Five-Year Plan”: ensuring equitable access by promoting the balanced development of public library services, restructuring and enriching the content of public cultural services, and enhancing sustainability through improved library operation models.

This paper explores the influencing factors of the development of rural public reading space from the perspective of scene theory, and analyzes the high-quality development path of rural public reading space through the configuration analysis of the influencing factors. An analytical framework for the development of rural public reading space was constructed according to the scene theory, and 20 rural public reading spaces were analyzed as research samples. Using the fuzzy set qualitative comparative analysis(fsQCA), the study reveals improvement pathways for the development of such spaces. The findings indicate that the high-quality development of rural public reading space is not driven by a single conditional variable, but by a combination of multiple conditions across three dimensions: authenticity, theatricality, and legitimacy. Furthermore, it identifies 10 pathways to improve the effectiveness of rural public reading space construction, which can be summarized into three primary models: addressing reader needs, mining local cultural resources and fostering government and community collaboration.

The Service ecosystem is a key area of current research on value co-creation. In response to the challenges faced by open government data initiatives, such as low data utilization and shallow data value extraction, the study leverages service ecosystem theory to propose a coordinated and sustainable approach to value co-creation. Building on the concept of government data openness service ecosystem, it identifies key elements such as participating entities, resource objects, and the external environment. It then develops a service ecosystem framework with the central goal of promoting value co-creation in open government data. In order to ensure the theoretical foresight and practical feasibility of this ecosystem model, the research uses the Shanghai Open Data Application Innovation Competition as a case study, and analyzes the value co-creation mechanisms at the micro, meso, and macro levels. It proposes a realization mechanism to achieve resource integration and value co-creation through the cooperation of all parties, offering useful reference for optimizing the value release of open government data.

Literature resources are fundamental to digital libraries, yet the challenge of insufficient ubiquitous service capability of these resources remains prominent. Taking academic papers as a representative type of literature resource, this study proposes a user ubiquitous annotation system. Firstly, a hierarchy model for user ubiquitous annotations was developed based on literature research and the Delphi method, followed by the design of a user ubiquitous annotation system to collect data on annotators, annotation behaviors and annotation content. Subsequent analysis, employing statistical analysis and time series, revealed key data characteristics. The study further examined the individual traits of the annotators, as well as the distribution and evolution of annotation content. Finally, through the combination of user experiments and questionnaires, a study was carried out to assess the effectiveness of the user ubiquitous annotation system in comparison to the traditional annotation method for reading academic papers. The findings revealed that the user ubiquitous annotation system can achieve higher user satisfaction by providing multidimensional view of the content and structure of academic papers. User ubiquitous annotation serves an important supplement to traditional classification topic annotation, offering an enhanced reading experience and improving the accessibility and usability of academic resources.

The study constructs a prediction model for university patent transfers and explores the characteristic variables that affect the predictive accuracy to improve the patent conversion rate of Chinese universities. After cleaning and standardizing the patent fields, the study uses LDA, SBERT, and SBERT-LDA to extract the patent technology topics. The impact of these topic extraction models on the prediction performance is compared. Additionally, six commonly used classification algorithms are evaluated on accuracy, precision, recall, and F1 score. The experimental results show that in the field of blockchain technology, the random forest algorithm combined with the SBERT-LDA topic extraction method achieves the best prediction performance. Furthermore, the SHAP framework is employed to analyze the characteristic variables affecting model performance. These characteristic variables can be divided into four types: dichotomy, positive correlation, negative correlation, and random fluctuation.

The problem of mobile reading among left-behind children in rural areas is prominent. The paper employs a combination of literature review, interviews and questionnaire surveys to investigate the current state of mobile reading among this population. A sample of 398 rural left-behind children and 217 parents of rural left-behind children was randomly selected to examine their perceptions of mobile phone use, reading purposes, content, duration, methods, modes, influencing factors, assistance received, and related services. Based on the survey results, the paper puts forward strategies for grassroots libraries under the rural revitalization framework, these include giving full play to the main role of grassroots libraries in serving left-behind children’s mobile reading, enhancing the role of grassroots libraries in supporting mobile reading for left-behind children, providing scientific guidance to improve their mobile reading skills, and innovating the development of mobile reading resources and services tailored to their needs.

The paper explores the theoretical foundation and practical applications of reading therapy, identifying its current dilemma and limitations in research and practice. Based on these findings, an emotion-focused approach in reading therapy is proposed and applied through an intensive reading session on the book It’s Not Always Depression: Working the Change Triangle to Listen to the Body, Discover Core Emotions, and Connect to Your Authentic Self. By reflecting on the activities of the session, the paper identifies the achievements and areas for improvement. It aims to provide reference for the theoretical research and innovative application of reading therapy.

Humanities institutions such as archives and libraries have gradually formed a rich and diverse collection of organized oral historical archives. By introducing a question answering system can display the reasoning ability of knowledge graphs through interactions. This study integrates knowledge graph and large language models, fully leveraging the advantages of accuracy and transparency of knowledge graph and reducing the problem of response inaccuracies and high development costs often associated with large language models, and attempting to construct a question answering system for oral historical archives resources. The article elaborates on the system design concept, construction process, and the core technical features. It takes the oral history of the CUSPEA theme housed in the T.D.Lee Library as the research object and conducts practical application. The practice has verified the feasibility of the question answering system, showcasing its ability to integrate and mine knowledge from oral history archives. The system effectively assists humanities scholars and history enthusiasts in understanding and gaining deeper insights into the essence of oral history.

This paper constructs a deep learning model based on NEZHA-RTransformer-CRF. A total of 660 corpora were randomly selected from 101 journals as experimental data. A corpus was established through manual annotation, and the text was input into the NEZHA model to extract feature representation information. Subsequently, the RTransformer model was employed to extract local contextual information, with the final output fed into the CRF for entity recognition. Comparative analysis was conducted against four other models: BERT-BiLSTM-CRF, BERT-BiGRU-CRF, SVM and ChatGLM-Ptuning. The NEZHA-RTransformer-CRF model achieved an accuracy of 89.79% and a significantly improved F1 value of 79.44%. This validates the effectiveness and reliability of the proposed model, confirming the feasibility of applying deep learning techniques to the Repulibcian-era journal corpora. The results provide valuable data support for further exploration of journal data from this period.

With the development of information technology, integrating it with disciplinary teaching has become increasingly important. The Technological Pedagogical Content Knowledge (TPACK) framework highlights the interplay between technological knowledge (TK), pedagogical knowledge (PK), and content knowledge (CK). This paper addresses the current status of information literacy curriculum reform and explores the application of the TPACK framework in instructional design and implementation from three aspects: teaching content, teaching methods, and teaching technology. Empirical research indicates that instructional designs based on the TPACK framework significantly enhance students’ abilities in literature retrieval, analytical reading, team collaboration, and related competencies.

With the rapid development of GAI technologies, the field of education is undergoing unprecedented transformation. By analyzing the compatibility of AI with the discipline of Information Resource Management, this paper examines the empowering effects of GAI on both the content and methods of teaching in information resource management professional courses. It proposes practical pathways for integrating GAI into the teaching of information resource management disciplines, including the integration into teaching objectives, content, methods, and processes.

The Catalogue of Local Literature in Houlaiyulou is a bibliography of private collection which is compiled by Zhou Delie. Zhou is a famous bibliophile in Jinshan, Shanghai. This bibliography categorizes 573 titles by nearly 400 authors from seven counties in the Songjiang area and generally reflects Zhou’s lifelong achievement in collating local literature. The bibliography is Zhou’s representative catalogue work. It follows the classification system of Siku Quanshu Zongmu and absorbs the classification innovations of Shu Mu Da Wen. In addition, it is an important private catalogue for studying the works of different dynasties in Shanghai because of a wide variety of collections and paying particular attention to the relationship between the authors and the publishers. The article sorted out the compilation of this bibliography based on Zhou’s life, and discussed its scope, classification and the features of its editing.

This paper is the textual research for the book collection seals of collections in Tsinghua University Library with ownership significance. According to the characteristics of the collection seals, these collection seals can be divided into three periods: early period of Tsinghua School, mixed use of the collection seal and official document seal; the later period of Tsinghua School and the National Tsinghua University Library period, use seals for Chinese general books (including Japanese books), Chinese ancient books and Western books separately; Since the founding of new China in 1949, unified seals for Chinese general books and Western booksand ancient Chinese books are sealed individually. This paper also analyzed the elements of humanities, politics, art and technology of the times implied in some representative collection seals, etc.