In May 2025, the General Office of the Ministry of Education and the General Office of the Central Publicity Department jointly issued the Notice on Further Implementing the National Youth Student Reading Initiative (hereinafter referred to as the "Notice"). Based on the 2023 National Youth Student Reading Initiative Implementation Plan, the Notice outlines five key projects to be implemented. These projects aim to promote nationwide reading, support the strategies for building a strong educational country and a strong cultural country, and establish a solid cultural foundation for the growth of young people and the development of the nation. This journal has invited five experts to conduct in-depth discussions on the core requirements and practical paths of the Notice from perspectives including strategic positioning, campus practice, the role of libraries, and home-school-community collaboration. The experts have thoroughly analyzed the key issues and implementation strategies of the National Youth Student Reading Initiative. 1) Strategic Positioning and Systematic Construction of the Youth Reading Initiative: Professor Ping Ke points out that this initiative is the core of nationwide reading and a pillar of the national strategy for building a strong nation. Reading should be integrated into the teaching of all disciplines, not just Chinese language courses. With "improving reading efficiency" as the core focus, efforts should be made to cultivate young people's interest in reading and their ability to think critically, in order to optimize their knowledge structure and values. He proposes a "trinity" reading system in which "schools are the core and libraries and families are the two wings". This system connects multiple parties to form five chains, including those responsible for resource production and dissemination, so as to promote nationwide collaboration. He also suggests ensuring the initiative's sustainable development through legal revisions and long-term planning. 2) Revitalization Path of Rural Primary and Secondary School Libraries: Professor Jianhua Wu points out that rural libraries face several problems, including poor infrastructure, a shortage of professional talent, and insufficient funding. In line with the "Rural School Library Revitalization Plan" mentioned in the Notice, he proposes that each county should build two model primary school libraries and one model junior high school library. He also proposes improving reading spaces and intelligent systems, and allocate full-time staff at a ratio of one staff member to 500-1,000 students. Drawing on Israel's experience, he suggests establishing library service centers, combining public welfare resources to address resource issues, and organizing college student volunteers to return to their hometowns and provide companionship and reading assistance, with the goal of transforming rural libraries into centers that offer high-quality services. 3) Professional Advantages and Empowering Role of Libraries: Professor Junling Zhao emphasizes that academic research on library-based reading promotion provides a theoretical foundation for the initiative. The core advantage of libraries lie in providing high-quality reading materials, organized collections, and free reading spaces. She suggests strengthening research on young people's reading behavior, reading therapy, and activity evaluation, promoting the development of practical toolkits based on the results of this research, and improving the scientific level of practice. 4) Precise Resource Supply through Home-School-Community Collaboration: Professor Beini Yan analyzes the current resource supply contradictions and clarifies the roles of families, schools, and communities. Families should foster a love of reading and provide personalized resources; schools should implement systematic reading programs; and social institutions should offer professional services. To meet the personalized needs of young people, she proposes establishing a hierarchical resource pool, building a circulation network with "internal circulation + external circulation", and using big data to optimize resource matching. 5) Positioning Return and Development Path of School Libraries: Professor Peng Xiao points out that school libraries are one of the "three pillars" of modern library initiatives and are essential to implementing the youth reading initiative. However, they are facing problems such as the "five imbalances" in development, a lack of research discourse, and insufficient innovation vitality. He calls for school libraries to be placed back at the core of China's library initiatives and suggests that future research should focus on five key issues, including clarifying the functional value of school libraries. This will help compensate for the deficiencies in the nationwide reading infrastructure and contribute to building a strong educational country and a strong cultural country.

[Purpose/Significance] In the current era, libraries are essential to fostering a reading-oriented society because they act as key hubs for disseminating knowledge. The goal is to increase public cultural literacy and foster an intellectual atmosphere. However, the lack of a professional framework for promoting reading in libraries severely hinders these efforts. Without clear standards, activities lack systematic planning, which leads to inefficiency and an inability to address diverse reading needs. This study systematically examines the professional services available to library reading promoters. By examining professionalization dimensions and influencing factors, it fills a research gap, enriches library science theory, and provides guidance for cultivating high-quality reading promotion teams. [Method/Process] In-depth interviews were used as the primary method to ensure research rigor. Fifteen participants were selected using purposeful sampling, including library scholars, experienced reading promoters, and front-line librarians. Each interview lasted between 50 and 70 minutes and covered the status of reading promotion, the challenges involved, and future expectations. Three stages of grounded theory analysis were then applied: open coding to extract initial concepts, axial coding to establish relationships between concepts, and selective coding to form a theoretical model. This data-driven approach validates the results. [Results/Conclusions] The research has achieved significant results by identifying three core dimensions of professionalization. For literacy specialization, reading promoters are required to have a solid grasp of library science, literature, and educational psychology. Training specialization emphasizes the establishment of a systematic training program that covers promotion skills, event planning, and user communication. A well-designed training system can continuously improve the professional capabilities of reading promoters. Reading promotion specialization focuses on adopting evidence-based and innovative strategies, which can enhance the effectiveness of reading promotion. Four influencing factors were also discovered: the curriculum system determines the content and quality of training; the resource system provides necessary physical and digital assets for reading promotion; the user service system affects the communication and interaction with readers; and the standardization system provides guidelines for the evaluation of reading promotion work. Based on these findings, practical suggestions were put forward, including optimizing the training model by combining theoretical learning with practical operation and establishing a standardized management system for reading promotion. Nevertheless, the study has certain limitations, primarily due to its relatively small sample size. Future research could expand the scope of the sample, conduct long-term follow-up studies on the impact of professionalization, and explore integrating emerging technologies such as AI and big data into the professionalization of reading promotion to further promote the development of library reading promotion services.

[Purpose/Significance] The social application of technologies, such as generative artificial intelligence (AI), presents challenges for adolescents when it comes to deep reading. In response, China has promoted the Youth Reading Initiative and issued the "Notice on Further Implementing the National Youth Student Reading Action", which outlines five key projects and provides a clear roadmap for action. To thoroughly implement and effectively achieve the goals, tt is essential to clarify the specific path choices and their inherent rationality. vMethod/Process] This paper reviews China's decade-long initiatives to develop a youth reading ecosystem. It demonstrates that the nation has established a robust foundation to support "holistic reading" initiatives and prioritizes creating such environments as its strategic focus. The "Notice on Further Implementing the National Youth Student Reading Initiative" first mentioned both the concepts of "holistic reading" and "deep reading" simultaneously. Thus, in this paper, we first clarified four characteristics of holistic reading, and then analyzed the relationship between "holistic reading" and "deep reading" based on discussions about the real-world impact of the AI era on youth reading. We finally elucidated the logical and practical foundations for the formation of current youth reading promotion pathways in China. [Results/Conclusions] China's recent policies for youth reading initiatives demonstrate the nation's commitment to a "holistic reading" approach that encourages "deep reading" among adolescents. Emerging from the interplay between contemporary educational philosophies and evolving educational environments, this strategic choice signifies a return to the fundamental essence of reading. Cultivating reading can comprehensively enhance teenagers independent thinking, social responsibility, innovative spirit, and practical abilities. However, the development of deep reading skills among today's youth faces unprecedented challenges due to significant changes in media environments and knowledge acquisition methods. Therefore, in this era where technological environments profoundly reshape learning conditions, only by embracing the concept of "holistic reading" can teenagers develop the internal motivation needed to counteract the effects of the current information environment and cultivate their perseverance in deep reading. The progression from "holistic reading" to "deep reading" represents a significant shift from reading habits to reading competence. First, broadening one's reading scope lays the foundation for deep reading. Second, access to quality reading materials ensures effective outcomes of deep reading. Third, peer motivation cultivates the drive for deep reading. Fourth, promoting specialized reading creates societal momentum that propels deeper engagement. Finally, the paper posits that achieving this transformation necessitates coordinated efforts spanning various dimensions, including stakeholder engagement, goal-setting, and resource allocation.

[Purpose/Significance] This study aims to explore the reading difficulties experienced by children in intergenerational caregiving situations in rural China, analyze the causes of these difficulties, and propose targeted solutions. The research is motivated by the growing concerns about educational disparities and developmental challenges experienced by this vulnerable group, especially within the context of China's rural revitalization strategy. Unlike previous studies, which have primarily focused on the broader category of rural left-behind children, this paper focuses on a specific subgroup－rural children raised by their grandparents - to offer a more nuanced understanding of the unique obstacles these children face in relation to reading. This study contributes to both academic discourse on rural education and efforts aimed at promoting equitable development by identifying the structural and cultural factors that contribute to low reading literacy among these children. By integrating theories of family sociology, educational inequality, and digital divide, it fills a critical gap in existing literature and offers new insights into how intergenerational caregiving intersects with literacy development. [Method/Process] The research was conducted in a rural county located in Guangdong Province. A mixed-methods approach was adopted that combined in-depth interviews with caregivers and teachers, a textual analysis of local education policies, and online surveys of rural schools and community centers. A grounded theory approach was employed as the analytical framework, and a three-stage coding process was used to develop a measurement model for assessing individual reading barriers. This methodological rigor ensured that the findings were grounded in empirical data, yet still allowed for theoretical generalization. [Results/Conclusions] The findings reveal that rural children under intergenerational care face multiple reading challenges, including limited access to books, inadequate reading environments, and a lack of awareness about the importance of reading. These issues stem from complex sociostructural factors, including fragmented family structures, limited educational opportunities for grandparents, and imbalanced use of digital technologies. To address these challenges, the study proposes a multi-pronged intervention framework. This framework includes strengthening policy support for rural reading programs, mobilizing volunteers as reading mentors, guiding the appropriate use of digital tools to enhance literacy, and encouraging intergenerational reading activities within families. While this study provides valuable insights, further longitudinal and comparative research across diverse rural regions is needed to validate and expand upon these findings. Future studies could also examine the long-term impact of reading interventions on children's academic achievement and psychosocial development.

[Purpose/Significance] In cross-domain natural language processing (NLP) tasks, deep learning models often exhibit performance variations due to texts with distinct domain characteristics, leading to a decline in model generalization capabilities. Text complexity stands out as one of the most explanatory factors influencing model generalization. [Method/Process] This paper presents two innovative contributions. First, a multi-dimensional text complexity calculation framework grounded in systemic functional linguistics theory was constructed. This framework employs a hierarchical quantification approach: at the lexical level, it dynamically identified four types of non-standard expressions - abbreviations, emoticons, internet buzzwords, and alphanumeric mixed words - and calculated a normative score using a non-linear formula. At the sentence level, an innovative inverse fusion enhancement method (IFEM) was proposed, integrating punctuation anomaly density (weight 0.1), colloquial word ratio (weight 0.4), semantic ambiguity (weight 0.2), and sentence length features (weight 0.3), and generating a structural score through modeling of feature synergy and suppression effects along with an adaptive weighting mechanism. Finally, at the corpus level, a weighted fusion output the global corpus complexity assessment. Experimental results demonstrated that this framework successfully quantifies intrinsic differences between domain texts. For instance, the measured complexity of the waimai_10k dataset reached 0.703, significantly higher than the 0.552 of the ChnSentiCorp_htl_all dataset, and it accurately captured complexity changes even after internal text reduction and substitution operations. Second, a knowledge base-enhanced dynamic adaptive CNN-BiLSTM model was designed. This model implemented the following innovative mechanisms: 1) The knowledge base adopts a dual mapping architecture of text-label and vector-label, supporting historical experience knowledge loading and real-time error recording; 2) Feature weights were adjusted based on the knowledge base content, such as strengthening positive semantic representations or weakening negative expressions. The model architecture integrated multi-scale CNN convolutional kernels for local feature extraction, bidirectional long short-term memory networks for capturing long-distance dependencies, and an attention mechanism to focus on key information. To validate the effectiveness of the proposed methods, experiments were conducted on four Chinese datasets. [Results/Conclusions] The results indicate that the complexity calculation framework exhibits strong robustness, with complexity fluctuations below 3.3% after a 20% sample reduction, and a maximum complexity increase of 13.8% upon short text data injection. Moreover, the framework effectively quantifies and differentiates text complexities, as evidenced by the 0.703 complexity of the waimai_10k dataset compared to the 0.552 of the ChnSentiCorp_htl_all dataset. Additionally, the proposed model demonstrated optimal performance across both the most standardized ChnSentiCorp_htl_all dataset and the most challenging waimai_10k dataset (achieving accuracies of 0.923 8 and 0.943 4, respectively), significantly outperforming Transformer and various large language models such as deepseek-v3 and qwen-plus.

[Purpose/Significance] This paper focuses on the development process and service mechanisms of Japan's Research Data Cloud (RDC) system, a core national infrastructure coordinated by the Research Center for Open Science and Data Platform (RCOS). Against the backdrop of growing global attention to open science, RDC presents a practical model for integrating data management, open sharing, publication, search, and preservation throughout the research lifecycle. The paper highlights the unique collaborative model of RDC, which is characterized by a small team driving large networks. Compared to prior literature that often emphasizes technical architectures or isolated institutional efforts, the paper situates RDC within Japan's broader open science strategy, offering both theoretical and practical insights. It explores how RDC contributes to advancing the FAIR data principles, supporting cross-sector innovation, and strengthening national science and technology governance. The analysis also offers strategic lessons for China in building a sustainable and service-oriented research data system. [Method/Process] Using a qualitative case study approach, the paper draws on a combination of primary and secondary sources, including official reports, project documentation, and academic literature, and publicly available platform data related to the RDC initiative. It systematically analyzes the organizational structure and collaborative mechanisms of RDC, focusing on the institutional roles, platform components (GakuNin RDM, WEKO3, CiNii Research), and key technological innovations such as data governance, data provenance, secure computing, and trusted storage. In particular, it analyzes how RCOS functions as a neutral coordinator that bridges stakeholders across ministries, universities, and research organizations, and how it plays a role in translating policy mandates into technical services, integrating institutional workflows, and fostering community participation in the open science ecosystem. [Results/Conclusions] Despite constrained resources, RDC has developed a comprehensive research data ecosystem that serves researchers, data managers, librarians, industry, and the public. Japan's experience demonstrates that emphasizing interoperability, governance coordination, and capacity building, especially through small-scale research teams and nationwide collaborative networks, can effectively support the development of robust research infrastructure. The paper concludes by proposing several recommendations for China: the creation of independent coordination agencies to avoid fragmented development, the establishment of standardized service frameworks to enhance interoperability, and the implementation of tiered training programs to improve data literacy and management capacity across disciplines. Future research should further explore comparative institutional models, examine the long-term sustainability of open science ecosystems under different governance conditions, and investigate the cultural, legal, and technical dimensions that shape localized approaches to research data governance.

[Purpose/Significance] Study tours, as a dynamic integration of education and tourism, represent a significant opportunity for public libraries to innovate their service models and enhance their cultural and educational roles within the framework of cultural tourism integration. This study explores the pathways for public libraries to develop high-quality study tours, which addresses the growing demand for diverse, high-quality social education in the context of China's "cultural confidence" and "national reading" initiatives. Unlike prior studies that focus narrowly on specific library practices or regional cases, this research provides a comprehensive analysis by integrating domestic and international perspectives, we emphasize the strategic role of public libraries in cultural resource transformation. This paper contributes to the academic discourse by proposing actionable frameworks for service innovation. These frameworks position public libraries as pivotal players in advancing cultural education and addressing contemporary societal needs through interdisciplinary collaboration and resource optimization. [Method/Process] Adopting a cultural tourism integration approach, this study employs a multi-method approach that combines a literature review, a comparative case analysis, and an empirical survey to examine the current state of, and challenges to, public library study tour services. The research establishes a theoretical foundation by drawing on policy documents, industry reports, and academic literature to establish a theoretical foundation, and identifies best practices and gaps by analyzing representative domestic and international library cases. Domestic cases span provincial, municipal, and county-level libraries, covering diverse regions and service models, such as digital innovation and regional cultural integration. International cases include libraries in North America, Europe, and Asia, highlighting technological applications and cross-sector collaboration. The comparative analysis focuses on cooperation models, course design, and service mechanisms, supported by empirical data from user feedback and activity records. This approach ensures a robust understanding of practical challenges and opportunities, grounded in both national policy contexts and global experiences. [Results/Conclusions] The study identified key challenges in public library study tour services, including insufficient resource integration, severe homogenization of service formats, lack of evaluation systems, and weak cross-sector collaboration mechanisms. To address these issues, five strategic pathways have been proposed: establishing multi-party collaboration frameworks involving government, schools, and social organizations; creating expert talent pools to enhance service professionalism; developing standardized service guidelines to improve consistency and quality; deepening thematic content by leveraging library collections; and implementing comprehensive feedback and evaluation systems to ensure continuous improvement. These strategies enable public libraries to create distinctive, culturally rich study tour programs that align with regional identities and educational goals. However, there are limitations, such as the scalability of resource-intensive models and the need for ongoing funding. Future research could explore the integration of digital technology, such as AI-driven evaluation systems, and cross-regional collaboration to enhance scalability and inclusivity of public libraries, thereby advancing their role in cultural tourism integration and social education.