[Purpose/significance]During emergencies, social media short texts contain critical information but are heavily interfered with by noise. Traditional static knowledge graph completion techniques struggle to effectively address their dynamic evolution and data sparsity issues, making it imperative to introduce temporal modeling methods. [Method/process]This study proposes a dynamic completion framework that combines the temporal feature capture capability of Bidirectional Gated Recurrent Units (BiGRU) with the noise-resistant representation learning advantages of Graph Contrastive Learning (GCL). At the completion level, the ConBiTE method is introduced, which captures temporal dependencies through self-attention mechanisms and BiGRU, while leveraging GCL to enhance the completion of missing entities and relationships. At the construction level, RoBERTa-CNN-BiLSTM-CRF is employed for entity recognition, and the Wenxin large language model is utilized for relationship extraction, thereby improving the quality and efficiency of graph construction. [Result/conclusion]Experiments demonstrate that the proposed method outperforms traditional approaches in both completion and construction tasks, providing comprehensive technical support for dynamic information analysis and emergency response during emergencies, with significant theoretical and practical implications.

[Purpose/significance]This study delineates the developmental trajectory and knowledge production characteristics of international national security intelligence research by revealing the collective profile, career development patterns, collaboration network structures, and core research theme evolution of its key scholars. It aims to provide insights and references for promoting the discipline construction of national security intelligence in China. [Method/process]Core authors were selected from the Intelligence and National Security journal based on publication volume criteria. Employing biographical analysis, the information of these international core authors was categorized into four core dimensions—disciplinary background, research direction, research output, and work experience for comparative analysis. Furthermore, LDA topic model was applied to their publications for topic mining to systematically identify the core issues focused on by intelligence researchers. [Result/conclusion]Findings indicate that the core author group is characterized by significant male dominance, a predominance of middle-aged and senior scholars, high institutional concentration, and disciplinary backgrounds heavily leaning towards traditional humanities and social sciences. Security intelligence research faces challenges including insufficient deep interdisciplinary integration, a gap between academia and practice, and lagging discussions on the ethics and law concerning emerging technologies.

[Purpose/significance]Inrecent years, frequent reversal events have negatively impacted the online media environment, leading to an increasing number of skeptical voices during the evolution of public opinion.These doubts are no longer merely emotional outbursts but also involve rational understanding of the event's authenticity. This study aims to gain a deeper understanding of this phenomenon and attempts to reveal the impact mechanism of frequent reversal events on the evolution of online public opinion. [Method/process]Through surveys and computer simulation experiments, the study analyzes various elements such as individuals, media environment, and evolution patterns in online public opinion,then according to the analysis result, by incorporating user behavior into the modeling of public opinion evolution, conducted the simulation experiments. [Result/conclusion]In the context of frequent reversals, public trust in online media significantly decreases. This lack of trust affects individual behavior, with users' willingness to express opinions being heightened, while there is no significant impact on their willingness to like or change their viewpoints. Simulation experiments reveal that frequent reversals somewhat slow down the process of group polarization and promote the manifestation of rational components in the public opinion space. Research results are significant for understanding the dual impact of reversal events on both emotion and rationality, as well as their influence on public opinion evolution. Additionally, they provide reference for public opinion guidance and management.

[Purpose/significance]Altmetrics has been widely applied in scientific and technical evaluation.To find its theoretical basis，systematically review existing research literature，clarify its value，summarize its existing problems and shortcomings，it is helpful to construct a scientific and technical evaluation system that integrates Altmetrics. [Method/process]Find theoretical basis to demonstrate the rationality and feasibility of using Altmetrics for scientific and technical evaluation.Based on a systematic literature review method，this paper summarizes the progress of Altmetrics method technology in evaluating academic achievements，scholars，institutions，disciplinary fields，countries，and other emerging scenarios.It points out that there are many shortcomings in current evaluation application research in data availability verification，data source identification，authoritative evaluation index discovery，data platform construction，theoretical and methodological system construction，etc.It looks forward to the path and methods of integrating Altmetrics into Chinese technology evaluation. [Result/conclusion]Altmetrics methods and techniques provide new ideas and methods for econometrics，and integrating Altmetrics into scientific and technical evaluation can make the evaluation results more comprehensive.We should accelerate the construction of Chinese Altmetrics data infrastructure，establish an integrated evaluation method system， strengthen theoretical research，and enhance the evaluation discourse power of Chinese Altmetrics data.

[Purpose/significance]The risk information contained in drug instructions is usually incomplete, and some new adverse reactions can only be discovered in actual clinical use. This paper proposes an information organization and knowledge discovery method for pharmacovigilance, in order to timely and accurately identify missing risk knowledge in drug instructions. [Method/process]Drug instructions of 8 152 Western medicines are collected as the research data; On the basis of ontology construction, data annotation, and model training, the UIE model is used to jointly extract entity and relationship triplets from the research data; A new knowledge graph link prediction method CompGCN-RotatE, is proposed, and performance comparison experiments are conducted with classical RotatE on multiple datasets; Empirical research is conducted by using the proposed method. [Result/conclusion]Compared to the classical Rotate method, research results show that our method has significant improvements in the three indicators, MRR, Hits@3 and Hits@10, and achieve performance of 58.7%, 65.6% and 80.5% respectively on the research data. The method proposed can effectively discover drug risk knowledge that is not mentioned in drug instructions but is actually monitored, providing new ideas for pharmacovigilance in China.

[Purpose/significance]A structural analysis of the stratified dependencies among accessibility determinants in rural public digital cultural ecosystems enables identification of pivotal developmental nodes, thereby establishing theoretical foundations for optimizing service delivery mechanisms and achieving spatial equilibrium in digital cultural provision. [Method/process]This study applies grounded theory to conduct a comprehensive coding analysis of policy documents related to China's rural public digital cultural services. Through this process, five dimensions and fifteen sub-components of accessibility are identified. An index system for accessibility factors is then developed using the AISM approach. The identified elements are classified into three hierarchical levels. To further validate the system and explore the overall influence and interaction mechanisms of these factors in the context of rural public digital cultural services, the FMICMAC method is employed for in-depth verification and analysis. [Result/conclusion] Researches show that: rich service facilities" and diverse cultural resources are core deep elements dominating the system. Readily available service information and interactive service experiences constitute the superficial-level elements of service interaction. These elements act as crucial benchmarks for assessing the alignment between supply and demand in public digital cultural services. Consequently, to improve the accessibility of rural public digital cultural services, a three - tiered strategy is necessary, which takes into account both the hierarchical structure and the composition of these elements.

[Purpose/significance]The Song dynasty ranks among the most flourishing periods for literati culture in ancient China. This paper aims to observe the interaction between the literati’s friendship network, social culture, and changes in the political system in the Song dynasty from the perspective of digital humanities. [Method/process]This paper uses the China Biographical Database (CBDB) to create a high-quality dataset of cleansed historical elite group in the Song dynasty for social network analysis and network topology statistics. By connecting CBDB with The Complete Collection of Song Poems, we build a dataset and a corpus of Song literati’s friendship poem. The paper then uses word vector algorithms to establish a semantic network of feature words in the poems, and identifies the topics of the friendship poems with community detection algorithm. [Result/conclusion]The results show that the literati group formed various social activities through all kinds of social relations and opportunities, and the network exhibits the so-called small world property of current social media networks. 9 top communities identified from the corpus reflect the fact that social activities were highly encouraged among the literati during the Song dynasty.

[Purpose/significance] Energy storage technology is crucial for addressing climate change and promoting energy transition. A comprehensive examination of energy storage technology and its regional industrial development trends under the context of China’s unified national market has significant practical implications for promoting the flow of scientific and technological innovation resources, facilitating achievement transformation, and narrowing regional innovation gaps. [Method/process]This research focuses on patent transfer data to investigate the evolutionary characteristics of technology transfer networks, firstly establishes a novel patent transfer record extraction model to detect technology transfer phenomena. Secondly, it employs the gravity center model to quantitatively analyze the spatial distribution patterns of technology transfer geographic centers and their spatiotemporal migration characteristics. Finally, from both micro and macro perspectives, it constructs and explores the structural features and evolutionary phenomena of bimodal sub-networks of energy storage technology transfer between innovation entities and between cities. [Result/conclusion]The research reveals that both inflow and outflow centers initially originated in Beijing, showing an overall southward migration trend, eventually stabilizing near the Yangtze River Delta, indicating that the energy storage industry’s technology trading market is trending toward stability. The inter-entity transfer sub-network has gradually transformed from a sparse, dispersed network into a dense network with State Grid Corporation of China as the largest key node. The “enterprise-to-enterprise” transfer model plays the dominant role, necessitating further strengthening of the rising role of industry-university-research cooperation and recognizing the pivotal function of individuals in technology transfer. The development of provincial sub-networks exhibits a “small-world” characteristic, with an overall pattern of “strong in the east and weak in the west.” Each region should leverage its respective strengths and implement differentiated development strategies.

[Purpose/significance]Policy issuance constitutes a fundamental aspect of effective government administration.The alignment and relevance between policy content and corporate digital transformation practices determine whether policies can fulfill their functional attributes and ultimately affect the implementation effectiveness of enterprise digital transformation. [Method/process]Targeting listed companies in China's pharmaceutical industry, this study measures the semantic similarity between policy texts and annual reports, and examines the alignment between policies and corporate digital transformation behaviors at the thematic level. [Result/conclusion]Policy themes remain at the preliminary stage of digital transformation, exhibiting an overall lag behind actual corporate development. While enterprises are advancing digital transformation into deeper and more substantive implementation, policies fail to address corporate concerns in many aspects in a timely manner.

[Purpose/significance]To summarize the implementation of the US Intelligence Reform and Terrorism Prevention Act(IRTPA), and to comprehensively examine the contemporary disputes surrounding the IRTPA,and the power expansion and checks and balances of US intelligence agencies, is beneficial for further understanding the evolution of the US intelligence legal framework and its impact on the national intelligence system and mechanisms. [Method/process]This paper, from the perspective of stakeholder theory, combines methods of literature analysis and case study to summarize and analyze the basic situation, development process, and contradictory disputes of IRTPA. [Result/conclusion]The IRPTA addresses the systemic governance of intelligence dysfunction issues and vigorously promotes the intelligence integration process. However, in areas such as functions of intelligence chiefs, defense intelligence, foreign intelligence, domestic intelligence, and talent management, there are certain controversies. Whether it can lead to a profound reform of the U.S. intelligence community remains a significant variable.

[Purpose/significance]Conducting quantitative analysis of policy texts helps clarify the alignment between policy tool implementation and policy objective achievement, which is crucial for enhancing policy execution effectiveness and advancing future industry development. [Method/process]By comprehensively examining both the external structure and internal textual elements of policies, this study proposes a three-dimensional analytical framework“policy actors-policy instruments-policy objectives”based on an evolution analysis of 157 Chinese future industry policies from 2013 to 2024.Content analysis and complex network analysis are applied to examine single, paired, and multi-dimensional interactions. [Result/conclusion]Policy evolution follows a "local pilot-central coordination-local follow-up" pattern, featuring multi-actor collaboration, mixed policy tools, and integrated goals. To address gaps in coordination, tool adaptation, and goal balance, context-sensitive policy mixes and flexible instruments are recommended to upgrade future industries and advance new quality productive forces.

[Purpose/significance] Improving the patent commercialization policy system is a necessary prerequisite for leveraging the institutional advantages of China’s patent system. Analyzing the structure and content of patent commercialization policies and uncovering their core operational mechanisms is of great significance for enhancing the industrialization rate of patents. [Method/process]This study investigates patent commercialization policies issued by central, provincial, and municipal governments in China. It adopts a quantitative policy text analysis method and constructs a three-dimensional analytical framework consisting of policy tools-institutional systems-participating actors to examine the integrated operational characteristics of policy instruments, institutional structures, and actor roles within the current policy system.[Result/conclusion]The analysis identifies five core mechanism pathways in the current patent commercialization policy system: precision matching centered on optimizing information sharing, coordinated promotion centered on enhancing market operation, legal safeguards centered on improving institutional mechanisms, institutional optimization centered on strengthening management, and performance-driven strategies centered on strengthening supervision. To further improve the policy framework, the study recommends optimizing the combination of policy instruments, enhancing the value contribution of diverse stakeholders, and strengthening institutional safeguards for high-quality patents, thereby facilitating the efficient transformation and effective application of technological achievements.