[Objective/Significance] The global research initiatives Human Cell Atlas (HCA) and Human Reference Atlas (HRA) are changing our understanding of the human biological system, driving multi-dimensional analysis in life sciences from the cellular level to tissue spatiality. [Method/Process] This paper systematically compares the commonalities and differentiated characteristics of both initiatives across key dimensions, including data acquisition and integration, data annotation and sharing, spatial localization, and ethics frameworks, while delving into their complementarity in technical pathways and application scenarios. [Results/Conclusions] Research indicates that HCA, leveraging single-cell omics and spatial transcriptomics, focuses on systematic characterization of cell type diversity, functional states, and dynamic transitions, demonstrating significant advantages in resolving disease heterogeneity and tracing cellular dynamics. Conversely, HRA centers on 3D multimodal data fusion, constructing cross-scale organ reference models via high-resolution imaging and standardized terminology (ASCT+B), with annotations emphasizing biology-ontology-driven spatial concordance. Their synergy enables end-to-end analysis from cellular dynamics to tissue architecture: HCA reveals disease molecular mechanisms, while HRA provides spatial localization benchmarks. The study highlights that integrating HCA’s cellular resolution with HRA’s spatial systematicity can advance dynamic life atlas construction and clinical decision support system development. This integration offers a translational pathway from mechanistic analysis to spatial intervention for precision medicine, providing critical insights for China’s participation in international standard-setting and data risk mitigation.

[Objective/Significance] Energetic materials are the core energy for armament to achieve long-range and precise strikes. The safety of energetic materials is an important consideration in the design and use of armament. Shock wave sensitivity is an important index to measure the safety and detonation performance of energetic materials. [Method/Process] In this paper, the patent data related to shock wave sensitivity of energetic materials at home and abroad are taken as sample. And the general situation of patent applications is summarized from the perspective of patent application volume, key applicants, major technology exporting countries and major technology branches. At the same time the key patents are also reviewed. [Results/Conclusions] The number of global patent applications related to shock wave sensitivity of energetic materials does not change significantly with time. The technical branch mainly involves shock wave sensitivity reduction, shock wave sensitivity test, shock wave sensitivity application, shock wave sensitivity improvement, shock wave sensitivity regulation and shock wave protection. China’s applications volume accounts for more than half of the world, reflecting the creativity and application vitality of domestic applicants, but the overseas patent layout is obviously insufficient, and it is necessary to strengthen the patent layout in key countries and improve the protection of intellectual property.

[Objective/Significance] An analysis of the development of high power microwave technology abroad is conducted to provide reference and inspiration for related research in China. [Method/Process] The distribution of research force and key research areas are analyzed by using the knowledge mapping method. [Results/Conclusions] The results show that the United States and Russia have high influence and need to be focused on, while India and the Republic of Korea are emerging research forces in the near future, which can be continuously concerned. At present, there are four key areas of research on high power microwave technology abroad: metamaterial-based high power microwave sources, efficiency and waveform agility of relativistic magnetrons, nonlinear transmission lines as solid-state high power microwave sources, and the efficiency of virtual cathode oscillators. In this study, the information mining is carried out from the large data of literature, and the research status of foreign high power microwave technology is objectively analyzed, which can provide reference for domestic related research.

[Objective/Significance] The essence of the US national security strategy is the coupling product of “ absolute security ” cognition and institutional hegemony. It has the main characteristics of cognitive inertia of strategic adjustment, balance between continuity and transformation, dominance of instrumental rationality, and realism orientation of absolute security appeal. [Method/Process] Through case analysis and qualitative research, this paper systematically explains the theoretical connotation of the US national security strategy from three aspects: connotation definition, system architecture and adjustment paradox. Combined with relevant theoretical literature and typical cases, this paper makes a concrete and in-depth analysis of its evolution characteristics, digital turn and development limits. [Results/Conclusions] The study finds that the US has upgraded the digital field to the core battlefield of national security strategy, and is accelerating the strategic digital shift by constructing “ digital authoritarian ” adversaries, building technical ecosystem barriers, and realizing the normalization of deterrence integration. However, the strategic overdraft caused by the decline of its own strength and the centrifugal tendency of allies have weakened the institutional power. The multi-polarization of the international order has impacted the hegemony of unipolar rules and other factors are intertwined and superimposed, which restricts the hegemonic stability of the US national security strategy and the possibility of multi-field expansion. In the future, the US national security strategy may fall into the fait accompli of “ more expansion, more vulnerability”, which further constitutes a catalyst and booster for the transformation of the multipolar order.

[Objective/Significance] Explore the challenges of generative artificial intelligence to global security governance, analyze the evolution of governance policies of the United Nations and its specialized agencies, and propose paths to optimize governance models. [Method/Process] Taking 32 current artificial intelligence governance policy texts of the United Nations as the research object, the policy texts are divided according to time periods to reveal the characteristics of policy layout and transformation logic of artificial intelligence governance by international organizations. Adopting a quantitative research framework for policy texts, combined with the BERTopic model, to conduct a time-series quantitative analysis of the policy texts. [Results/Conclusions] The United Nations advocates a collaborative governance model based on the principle of synergistic co-construction among countries, pays attention to the building of governance capacity in developing countries, and attaches importance to the sustainable development of technology and the protection of human rights.

[Objective/Significance] Addressing the issues of single-dimensional analysis and long-term topic drift in traditional scientific literature topic mining and evolution analysis, a multi-dimensional approach to topic evolution analysis that integrates citation networks and text mining is proposed. This aims to improve the accuracy of tracing topic evolution in a field, achieve multi-dimensional measurement of the topic evolution process, and provide a new research perspective for discipline monitoring. [Methods/Process] After slicing the scientific literature of the field by time, a direct citation network is constructed and topic communities are divided. TF-IDF weighted LDA model is used to extract fine-grained community topics; combining social network analysis (structural evolution) with Word2Vec semantic modeling (content evolution), multi-dimensional evolution relationships are measured. An empirical analysis is conducted in the field of "biological soil crusts." [Results/Conclusions] The evolution trajectory and main lines of topics in the empirical field are clarified, and the patterns of disciplinary topic evolution are summarized to provide reference for the development of the empirical field. Comparing the proposed method with traditional single-dimensional methods effectively validates the scientificity and effectiveness of the approach.

[Objective/Significance] Technological innovation led by enterprise research and development is the core driving force for industrial innovation and development. Exploring methods for identifying enterprise patent technology themes and analyzing technological competitiveness is beneficial for grasping the dynamics of enterprise technological research and development, seizing innovation opportunities and directions. [Method/Process] Taking enterprise patent data as the research object, firstly, using adaptive word segmentation extension and KeyBERT model to extract patent text keywords. Then, the PMI word pair cohesion calculation is used to enhance the semantic relevance of word pairs, in order to improve the recognition of patent technology topics in the BTM topic model. Finally, establish an evaluation index system for enterprise technological competitiveness and analyze the gap in enterprise technological competitiveness among various technological themes in the industrial chain. [Results/Conclusions] Empirical research was conducted on the laser industry, identifying 3 upstream technology themes, 2 midstream technology themes, and 4 downstream technology themes. The comprehensive evaluation of enterprise technological competitiveness for each technology theme was obtained, proving the effectiveness of the analysis method.

[Objective/Significance] As the key engine driving rural revitalization, artificial intelligence (AI) is reshaping the logic of rural industries and the paradigm of enterprise collaboration, thereby innovating the ways and paths for enterprises to participate. This article systematically reviews and analyzes the research progress in the field of AI enabling enterprises to participate in rural revitalization. [Method/Process] Based on bibliometric analysis, we examine current research status and hotspots regarding enterprise participation in rural revitalization, explore research topics related to how enterprises promote rural revitalization under the impetus of AI, and propose future research trends. [Results/Conclusions] Domestic and international studies on AI empowering enterprises to participate in rural revitalization cover 14 research topics, such as financial innovation, smart agriculture, digital economy, smart cities, job creation, and environmental monitoring. Future research is expected to focus on five major trends, encompassing key areas such as reconstruction and deep integration of industrial value chains empowered by AI, deep coupling between enterprises’ green and intelligent transformation and sustainable rural development, and capacity-building based on human-machine collaboration.