[Purpose/Significance] From the perspective of multimodal data-driven, this article clarifies the connotation of multimodal data and security situational awareness, and constructs a multimodal data-driven security situational awareness framework, aiming to timely and accurately perceive, understand, predict, and make decisions on network data security threats, and implement precise policies based on scientific decision-making. [Method/Process] Based on the security intelligence theory, the WSR system methodology, and literature review, this article constructed a multimodal data-driven security situational awareness framework according to the logical hierarchy of “physical-rational-humanistic”. [Result/Conclusion] The framework starts from the physical level of information technology and hardware facilities, and emphasizes on the multimodal data-driven situational awareness process and mechanism of situation crisis detection, situation element extraction, situation understanding, and situation prediction at the rational level. Ultimately, it focuses on the sound multimodal data situational awareness collaborative governance mechanism and intelligent decision-making empowerment science application at the humanistic level.

[Purpose/Significance] This paper aims to explore the construction method of public security event graph based on multimodal data, excavate the evolutionary law and internal logic of multimodal public security events, achieve a deep analysis and understanding of public safety events and enhance the ability of event prevention and control. [Method/Process] This paper obtained multimodal public safety event data including official bulletins, news reports and journal articles. By constructing public security ontology, event extraction and event relationship extraction, the multimodal public security event graph was constructed, and the temporal evolution and causal logic analysis of public security events were carried out based on the event graph. [Result/Conclusion] The research shows that the public security event graph based on multimodal data can reveal the event logic of public security events and provide scientific basis for the prevention and response of public security events.

[Purpose/Significance] This study develops an AI agent model for multimodal data processing across varied tasks. By exploring the inherent value of multimodal data, the model enhances the support for decision-making processes. [Method/Process] This study designed a hybrid AI agent model that integrated both horizontal and vertical structures. Using the financial annual reports from thirty Dow Jones Industrial Average companies as a case study, this model facilitated intelligent investment research and analysis for the year 2023. The research compared the performance of different organizational structures of financial agents in executing three subtasks: analysis of company fundamentals, market sentiment, and risk and opportunity assessment. Decisions were made based on these analyses, leveraging large language models capable of processing multimodal data. [Result/Conclusion] The vertical agent structure excels in tasks requiring efficient, directional strategic analysis with clear hierarchical decision-making. Conversely, the horizontal structure is more effective in scenarios demanding collaboration, flexibility, and broad expertise. The hybrid model outperforms single-structure agents in terms of accuracy in the final investment decision, demonstrating its efficacy in optimizing task-specific agent configurations.

[Purpose/Significance] To explore the mechanisms of value co-creation in library knowledge services involving multiple stakeholders can promote the innovation and enhance the effectiveness of library knowledge services. [Method/Process] This study analyzed and organized the stakeholders, processes, and influencing factors of value co-creation in library knowledge services. It constructed a theoretical model of value co-creation in library knowledge services and employed the system dynamics method to investigate the mechanisms of the value co-creation stakeholders and their influencing factors. [Result/Conclusion] Simulation results indicate that during the process of value co-creation in library knowledge services, the completeness of the institutional framework has a decisive impact. The greater the number of stakeholders participating in value co-creation, the higher the efficiency of knowledge services and the more significant the improvement in user capabilities. The benefits of value co-creation in library knowledge services become significantly apparent only after a prolonged period of coordination, accumulation, and interaction among multiple stakeholders.

[Purpose/Significance] The term “Tu Shu Guan” in Chinese is the most fundamental and pivotal term in library science in China. Its etymological attributes represent one of the significant issues that cannot be ignored in the study of Chinese library history. The objective of this paper is to elucidate the etymology of the term “Tu Shu Guan” to delineate its dissemination in China and Japan, and to ascertain its linguistic attributes, which will facilitate a more profound understanding of Chinese library history. [Method/Process] This paper used methods of textology, bibliography, and etymology to review the academic history and examine its initial documentary evidence for the term, and examples of its use during the Ming and Qing dynasties. As books were the most important carrier for the dissemination of the term, a systematic analysis of Huang Tingjian’s poems in Japan was conducted to investigate the annotation and publication activities of the poems and to analyze the stereotypes and popularity of the term “Tu Shu Guan” in China and Japan in the modern era. The etymological attributes of the term were then argued from an etymological point of view using the etymological research method. [Result/Conclusion] From an etymological perspective, it can be argued that a term is a “returned word” (Sino-Japanese interactive word), as long as a term originally appeared in Chinese literature, was later introduced to Japan, and was adopted by the Japanese during the Meiji period as a translation of a Western term. Thus, the term “Tu Shu Guan” is not a “Japanese word” but a “returned word,” or “Sino-Japanese interactive word”.

[Purpose/Significance] The purpose of this study is to clarify the research evolution and driving force of digital transformation in university libraries. By combining the analysis of key factors and driving forces, it aims to explore the implementation path of libraries’ digital transformation. [Method/Process] Using literature research and a case study of Shenzhen University Library, the study reviewed the current research status of digital transformation in libraries. Based on deducing the implementation path of digital transformation, it examined the practice and effectiveness of digital transformation at Shenzhen University Library from the perspectives of technological transformation, business transformation, and organizational transformation. [Result/Conclusion] The study gives some suggestions for improvement: leveraging technology to empower digital library services and create comprehensive intelligent solutions, emphasizing data assets to perceive, identify, and realize the value of library data, and establishing organizations that adapt to digital transformation

[Purpose/Significance] Accurately and effectively revealing the emotional evolution characteristics and patterns of short video users in sudden natural disaster events is of great significance for related research and practice, such as online public opinion monitoring and short video governance. [Method/Process] First, the LSTM model was used for emotional calculation of short video users. Then, an emotional interaction index for short video users in sudden natural disasters was designed to analyze the degree of emotional interaction among short video users. Finally, time series and visualization methods were comprehensively adopted to reveal the temporal and geographic spatial evolution characteristics and patterns of short video user emotions. [Result/Conclusion] Empirical analysis of 15 sudden natural disaster events in China reveals the spatiotemporal evolution characteristics of short video user emotions. The initial emotions of short video users in different sudden natural disaster events are affected by the severity of the event. The emotional temporal evolution of short video users in different sudden natural disaster events is affected by their daily routines, and a positive correlation exists between short video user emotions and geographic space in different sudden natural disaster events. These findings verify the feasibility and effectiveness of the proposed method in this paper.

[Purpose/Significance] Information processing is usually considered as the indispensable phase in learning-related search process, directly influencing search task completion and learning goal achievement efficiently. This study focuses on the types, motivations, occurrence characteristics, and search performance of information processing behavior during the learning-related search process. [Method/Process] This study collected various information processing behavior data exhibited by users while searching for learning-related tasks, and extracted and analyzed the characteristic variables of information processing behaviors using thematic analysis and log analysis methods. Finally, the study also examined the effects of various information processing behavior characteristics on search performance. [Result/Conclusion] This study identifies seven types of information processing behaviors, including information backtracking, information storing, information extracting, information transforming, format setting, structuring and emphasizing, as well as four types of motivations driving processing behaviors: task feature perception, individual feature perception, behavior regulation and outcome optimization. The study also analyzes the correspondence between information processing motivations and their behaviors. At the same time, the study finds that the information extracting behavior occurs most frequently and earliest, and has a significant positive effect on search performance. In addition, the occurrence of behaviors such as information backtracking, structuring, information transforming, and format setting also improves search performance to varying degrees. The findings contribute to a comprehensive understanding of users’ information processing behavior characteristics and provide insights for expanding and improving the functionality of search systems that support information processing activities.

[Purpose/Significance] To clarify the theme information of the projects and published papers funded by the large-scale scientific facility fund can provide a reference for the future research layout of large-scale scientific facility. [Method/Process] The BERTopic deep learning model was used to extract the topic of the projects and published papers funded by the joint research fund of large-scale scientific facility at the semantic level. [Result/Conclusion] The research finds that different types of large-scale scientific facility have their specific focus, and their distribution and advantages have distinct characteristics. Most of the research projects rely on large-scale scientific facility, and the research related on new principles, new methods and key technologies are less. The analysis of the similarities and differences of the project and the paper funded by the fund provides certain reference for the fund management and the layout of large-scale scientific facility in the future.

[Purpose/Significance] In recent years, emergencies have occurred frequently, which has a seriously impacting social stability and people’s life and property safety. A multi-dimensional analysis of the emergency policy text provides ideas and reference for governments to improve the emergency policy system and formulate effective emergency policies and regulations. [Method/Process] Taking the national policy text as the research object, this artide used the text content and statistical analysis method to analyze these texts from the three dimensions, emergency life cycle-policy, policy tool, policy effectiveness. [Result/Conclusion] The results reveal obvious structural differences in the three dimensions of emergency life cycle, policy tools and policy effectiveness. In terms of emergencies life cycle, it focuses on two stages: prevention and emergency preparedness, emergency response and rescue. In terms of policy tools, booster policy tools account for a relatively high proportion, and carrot-type and whip-type policy tools are rarely used. In terms of policy effectiveness, legal policies are lacking and policy effectiveness is low. In the future, it is necessary to formulate special policy texts for different types of emergencies to strengthen the specialization and refinement of emergency management. At the same time, the application of carrot-type and whip-type policy tools should be appropriately increased to make the emergency response responsibility clear and standardized.

[Purpose/Significance] By conducting text mining on open peer review reports, this study aims to explore the hidden publication bias in the peer review mode and provide theoretical support for its solutions. [Method/Process] The text mining analysis was conducted on the review reports of two modes: Transparent Peer Review (TPR) and Results-Blind Review (RBR). LDA topic analysis, sentiment analysis, and content analysis were used to compare and observe the differences in reviewers’ focal points, emotional tendencies, and the distribution of research results polarity. [Result/Conclusion] Reviewers using the Results-Blind Review (RBR) model tend to focus more on the quality and rigor of research methods and processes, while those using the Transparent Peer Review (TPR) model pay more attention to the results and conclusions of academic papers, and the corresponding evaluations during the review process are more subjective, leading to a potential “results-oriented” publication bias. It draws the following conclusions. Firstly, publication bias in the paper review stage has been confirmed. Second, the core reason behind this bias is the research evaluation system. Third, actively promoting a fully open review process is necessary. Finally, the academic community should shift publishing perspectives and promote emerging publishing models.

[Purpose/Significance] Combining the semantic approach with professional theories in the field of literature and organizing the knowledge of plot content and textual context of literary resources is of great significance in solving the existing problems and dilemmas in the knowledge representation of Chinese folklore resources. [Method/Process] Based on Propp theory, this paper proposed the research path for the digital narrative folklore, and chose The White Snake as an example for empirical research. First, a text corpus was constructed, and the narrative elements in the plot were deconstructed to excavate the explicit and implicit knowledge in the plot, and to analyze the complex and diverse semantic relations and narrative logic among the plots. Secondly, taking the narrative elements of the story as the description objects, the semantic information of folklore resources was reorganized and revealed, the ontology model of folklore was constructed, and the semantic knowledge description framework at the plot narrative level was improved. Finally, the visual narrative display of plot semantic knowledge was realized from the perspective of plot presentation and plot correlation. [Result/Conclusion] Based on the narrative elements, this paper constructs a narrative-oriented semantic association framework to realize the knowledge representation and association presentation of the folklore plot level. This framework enables the multidimensional narrative and visualization presentation of the resources, and demonstrates the application effect of the method in this paper.