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[Purpose/Significance] In the context of the rapid development of artificial intelligence and content generation (AIGC) technology, it is particularly urgent and important to explore in depth its impact and evolutionary path on the information culture of university libraries. As a central platform for knowledge dissemination and information exchange, university libraries not only hold a wealth of literature resources, but also serve as important places for teachers and students to obtain information and improve their information literacy (IL). Therefore, the study of the internal logic and development ideas of information culture in university libraries under the influence of the AIGC aims to reveal how new technologies can reshape the information service model of libraries, and how to promote the deep integration of knowledge innovation and educational informatization by optimizing organizational structure and improving service efficiency. This study will provide scientific basis for university libraries to formulate strategic plans that adapt to future development trends, help them to better serve teaching and research in the context of the new era, and cultivate high-quality talented people with high IL skills. [Method/Process] This study focused on both theory and practice of library information culture construction. First, the theoretical foundations of library information culture are considered, and the concept, characteristics, and manifestations in university libraries are systematically reviewed. Second, an in-depth analysis of the impact mechanism of the AIGC technology on information culture was conducted, including changes in information acquisition methods, improvements in information processing capabilities, and innovations in information exchange models. Finally, the integration path of information culture and the AIGC technology was explored, and a framework for cultivating information culture in libraries and at the university level was proposed. [Results/Conclusions] Under the promotion of the AIGC technology, the cultivation of information culture in university libraries has a new trend and characteristics. In order to better achieve the goal of educational informatization, university libraries should actively embrace and respond to change by building information system standards, improving information management systems, enriching information resources, and enhancing information service capabilities. At the same time, they should also promote the cultivation of information culture by integrating information resources for university education, enriching IL systems, cooperating in the development of the information technology, and participating in the construction of information governance systems. By integrating educational resources, cooperating in information technology research and development, and jointly building an open, shared, and mutually beneficial information ecosystem, we can effectively promote the prosperity and development of information culture in university libraries.

[Purpose/Significance] This article attempts to establish a scientifically effective set of management standards, create a standardized workflow, and fully consider the role of the artificial intelligence generated content (AIGC) in the standardized management of reading promotion. It aims to build a management standard for reading promotion that is in line with the high-quality development of libraries in the new era, and to provide policy guidance for comprehensively improving the efficiency of reading promotion work. [Method/Process] There are a total of 10 national and industry standards that include relevant descriptions of reading promotion in the existing standards. In addition, regions such as Zhejiang and Anhui have formulated local reading promotion standards based on practical considerations. However, most of the existing standards predominantly approach reading promotion mainly from the perspective of reader services, and lack the perspective of managers. This article fills this gap by examining the role of the AIGC in the standardized management of reading promotion, extracting the essential elements of standardized management for reading promotion, and constructing a standardized management system that encompasses the entire process of reading promotion. [Results/Conclusions] The standardized management of reading promotion is a feasible and scalable system that includes three aspects: the strategic level, the implementation level, and the resource level. The tasks of the strategic level mainly include setting management goals, coordinating the establishment of various management documents, adjusting organizational structures, providing implementation guidance, and coordinating the sharing and use of various resources. The implementation level is the core link in achieving the management goals for reading promotion and systematically advancing the management work. This includes understanding, implementing, evaluating, and supervising the standardized management of reading promotion. The resource level, considered from an applied perspective, aims to provide comprehensive resource support for the implementation of reading promotion work and management, including organizational resources, literature resources, technological resources, digital resources, and financial resources needed for reading promotion work. The standardized management of reading promotion must incorporate the five basic elements of management subjects, objects, goals, methods, and culture, while fully considering the management changes brought about by the AIGC environment and new technologies. The future standardized management of reading promotion should emphasize strategic management, increase technological investment, emphasize skill enhancement, optimize process management, and strengthen support systems.

Abstract Looking back on the development of radiomics in osteosarcoma over recent years, in addition to distinguishing osteosarcoma from other malignant bone tumors (mainly Ewing's sarcoma), more research directions are using radiomics to evaluate and predict the efficacy and survival of patients undergoing neoadjuvant chemotherapy. Among the three commonly used examination methods of X‐ray, CT, and magnetic resonance imaging (MRI), more and more studies have been conducted on MRI‐based radiomics, which fully reflects the advantages of MRI's high soft tissue contrast, multi‐sequence imaging, and most of the studies used a combination of imaging features and clinical features to make predictions. Some articles also considered relevant laboratory examination results and more and more studies are performing external verification. The field is now gradually developing toward multidimensional data and multicenter cooperation and data sharing.

[Purpose/Significance] With the development of data-intensive scientific research paradigm, the effective discovery and reuse of scientific data is of great significance to the sharing of research results. In order to promote scientific data utilization and improve the scientific value of data resources, the international academic community proposed the FAIR principles in 2016, aiming to promote data openness, which has so far attracted widespread attention from scholars at home and abroad. Many exploratory studies have been carried out around the FAIR principles, such as GO FAIR, and RDA, CODATA and other international organizations have been established to be devoted to open science and data sharing practices; the European Union, as the representative advocate of open science, has strongly promoted the implementation and promotion of the FAIR principles by establishing the European Open Science Cloud (EOSC) and introducing data policies, etc. The purpose of this paper is to provide a systematic and comprehensive overview of the academic achievements of FAIR principles, with the aim of providing references for the promotion and implementation of the principles and scientific data management practice in China. [Method/Process] This paper combines literature research and online research, and through content analysis, provides an in-depth analysis of literature on FAIR principles in terms of content interpretation, assessment methods, domain application, discipline application and regional application. It includes five perspectives of organization guarantee on FAIR principles, four basic principles of FAIR, practical exploration, disciplinary implementation and regional practice of FAIR principles to review the research progress and implementation of FAIR principles at home and abroad, focusing on exploring the practical value of FAIR principles, and systematically summarizing the research status and existing achievements. [Results/Conclusions] International research on FAIR principles focuses on theory, implementation strategies, and evaluation methods, For example, at the level of FAIR content, the four basic principles have been explored and discussed in practice; at the level of implementation strategies, many stakeholders have taken different measures to ensure the implementation of FAIR principles, and different organizations have developed evaluation methods. In addition, FAIR principles have been explored in the fields of medicine and other disciplines and are widely used in Europe and other regions. In contrast, domestic research is still in its infancy and national policy support and follow-up by relevant organizations is needed for further study and implementation of FAIR principles in China.

[Purpose/Significance] Data security is an important cornerstone of national security. The promulgation of the data security law of the People's Republic of China (Draft) points out the development direction for the establishment and improvement of data security governance system in China. [Methods/Process] Through text analysis, the paper analyzes the content of the data security law of the People's Republic of China, mainly to interpret the legislative spirit and principles, content and characteristics of the law and its deficiencies. [Results/Conclusions] The draft not only pays attention to the confidentiality of data itself, but also takes into account the availability of data. It provides legal protection for safeguarding national data sovereignty and legitimate rights and interests of data stakeholders. In addition, relevant supporting measures should be formulated as soon as possible.