[Objective/Significance] By analyzing the strategic deployment and common characteristics of biomanufacturing across major global economies, this study aims to provide references for China’s science and technology deployment and industrial planning for biomanufacturing during the 15th Five-Year Plan period. [Method/Process] Employing policy text analysis and multi-case comparative methodology, this study focuses on investigating the biomanufacturing strategic deployment of the United States, European Union, United Kingdom, Japan, and China, and identifies their common characteristics. [Results/Conclusions] Major economies have formed differentiated strategic pathways based on their respective endowments, yet exhibit common characteristics in top-level design, research investment and infrastructure, artificial intelligence integration, regulatory innovation, and talent development. Drawing on international experience and China’s domestic context, this study proposes insights and policy recommendations as follows: strengthening the data foundation by building national-level biomanufacturing data infrastructure; strengthening AI-driven capabilities by advancing the deep integration of AI and biomanufacturing; bridging the innovation chain by fostering an open and collaborative biomanufacturing innovation ecosystem; and consolidating the talent foundation by improving interdisciplinary training and international cooperation systems.

[Objective/Significance] Cryogenic science serves as a critical discipline underpinning national strategic demands, such as quantum technology and energy transition, while also constituting a core domain of global competition, and represents a core arena of global competition. [Method/Process] By employing policy analysis, bibliometrics, and patent intelligence mining, this study identifies priority technology directions for strategic deployment in China and probes into breakthrough pathways to address generic technological bottlenecks. [Results/Conclusions] Studies demonstrats that the United States and Europe dominate fundamental technologies in quantum computing, while Japan and Russia have forged distinctive advantages in energy storage and transportation under extreme environmental conditions.Against this backdrop, it is recommended that China adopt the strategic approach of “systematic tackling of key challenges and two-way breakthroughs”. Specifically, in the energy sector, priority should be given to advancing the independent development of hydrogen energy storage and transportation equipment, developing a complete set of technologies represented by large-scale high-efficiency hydrogen liquefaction units, cryogenic high-pressure composite storage tanks, and key pumps, valves, and compressors, and enhancing the performance and reliability of such equipment by leveraging high-performance thermal insulation composite materials, low-temperature resistant high-strength structural materials, and high-efficiency purification and catalytic materials. In the scientific and technological domain, efforts should be made to build an underlying support system for quantum computing, break through key bottlenecks in core components such as cryogenic dilution refrigerators, high-performance superconducting materials, cryogenic electronic chips, and precision measurement and control systems, and facilitate the development of a full-chain capability spanning from basic research to system integration. These initiatives will thereby provide robust support for China to achieve high-level technological self-reliance in related fields.

[Objective/Significance] The mobilization of science and technology for the scientific and technical workers is the inherent requirement of realizing the high level of self-reliance and self-improvement in science and technology, but the current related research is scarce, which is difficult to provide theoretical support for the mobilization of science and technology in reality. [Method/Process] This study focuses on the theme of science and technology mobilization aimed at scientific and technological workers. By constructing a systematic analytical framework and combining interview surveys, this research explores the mobilization models, existing problems, and optimization strategies. [Results/Conclusions] The findings reveal three primary mobilization models: a “pyramid”model based on administrative mobilization, an “umbrella” model based on project mobilization, and a “ring” model based on elite mobilization. These existing models face issues such as communication blockages in operational mechanisms, inconsistent goals in motivational mechanisms, and unreasonable resource allocation in safeguard mechanisms. Consequently, this study proposes corresponding optimization strategies focusing on unblocking operational mechanisms, strengthening motivational mechanisms, and solidifying safeguard mechanisms.

[Objective/Significance] Brain-computer interface (BCI) technology, which enables direct interaction between neural signals and external devices, has experienced rapid development in recent years and has shown broad application prospects in neurorehabilitation, assistive control, and intelligent human-machine interaction. Analyzing global development trends in BCI research can provide valuable references for national scientific research planning and strategic technological deployment. [Method/Process] Based on the Web of Science core collection, a total of 11237 BCI-related publications published between 2016 and 2025 were retrieved. Bibliometric analysis, network visualization, and the BERTopic topic modeling approach were employed to systematically examine research output, disciplinary structure, international collaboration patterns, leading research institutions, and emerging research hotspots in the BCI field. [Results/Conclusions] Global BCI research demonstrates a pronounced trend toward multidisciplinary integration, with engineering, computer science, and neuroscience forming the core disciplinary foundations. China ranks first worldwide in both publication volume and the number of highly cited papers, while maintaining close collaborative ties with major research-intensive countries such as the United States and the United Kingdom. Research activities are concentrated within a limited number of universities and research institutes, indicating a significant clustering effect. In terms of research themes, current hotspots primarily focus on EEG-based motor imagery classification, post-stroke motor function recovery and brain plasticity, neural electrodes and signal acquisition technologies, functional near-infrared spectroscopy (fNIRS), and imagined speech decoding. Collectively, these topics encompass the three key layers of BCI systems: hardware development, algorithmic processing, and application implementation. Overall, this study systematically elucidates the developmental landscape and frontier research directions of the BCI field, providing insights to support future research, technological translation, and industrialization efforts.

[Objective/Significance] This study provides a comprehensive overview of the structure and dynamics of the quantum information field, aiming to offer insights and policy implications to support the further development of quantum information science in China. [Method/Process] Using bibliometric and natural language processing techniques, this paper analyzes the research status, collaboration patterns, and emerging hotspots of quantum information-related publications from 1970 to 2023. [Results/Conclusions] The results reveal a sustained growth in scientific output in the field of quantum information over the past decades. The United States and China have emerged as the most active contributors, forming multi-level collaboration networks among countries, institutions, and researchers. Research themes in quantum information span fundamental theory, algorithm design, technological applications, and material foundations, exhibiting a pattern of multiple parallel research frontiers.

[Objective/Significance] From a patent perspective, this study aims to reveal the technology innovation dynamics and core technology paths of Alzheimer’s disease (AD) therapeutic drugs. It provides positive implications for optimizing the technology innovation ecosystem of AD therapeutics. [Method/Process++] Based on patent metrology and the technology life cycle theory, 4976 retrieved patents for AD therapeutic drugs were systematically deconstructed. The study evaluated technology innovation trends, technology cycles, patent protection layouts, and innovation entities, and further identified key technology distributions and core paths by integrating actual transformation data. [Results/Conclusions] The research indicates that technology innovation in AD therapeutic drugs is relatively active, presenting a global competitive landscape. The number of patent applications generally shows a trend of initial slow growth, followed by rapid development, and recent fluctuating adjustments. The patent protection layout of AD therapeutic drug technologies takes the form of “led by large enterprises + promoted by academic institutions + breakthroughs by small and medium-sized innovative enterprises”, with its R&D paradigm shifting from single-target therapy to multi-target synergistic therapy. Accordingly, this study proposes four suggestions: establishing an international patent layout for multi-target synergistic innovation, improving the knowledge governance mechanism centered on patent shareability, constructing a policy system with scientific coupling of intellectual property protection and supervision.

[Objective/Significance] The application of artificial intelligence (AI) technologies in the power system domain is rapidly evolving, revealing clear trends in technological theme development and patent distribution. [Method/Process] Based on invention patent data from the China National Intellectual Property Administration (CNIPA) spanning 2006 to 2025, BERT models are employed to vectorize patent texts, and hierarchical clustering is used to identify key technological themes. In addition, social network analysis is applied to construct collaboration networks. The analysis indicates a shift in AI applications within power systems from the “perception layer” to the “decision-making layer”, with “intelligent scheduling for new energy systems and energy storage” and “intelligent fault diagnosis and autonomous inspection technologies” emerging as current focal points of research and application. Furthermore, collaboration network analysis highlights the pivotal bridging roles of organizations such as State Grid Corporation of China and North China Electric Power University, forming an innovation pattern characterized by “central enterprises leading, universities collaborating, and local entities supplementing”. [Results/Conclusions] The research findings provide important empirical evidence for the development path, patent layout, and collaborative innovation mechanisms of artificial intelligence technologies in the new power system, offering significant reference value for promoting the intelligent transformation of power systems.

[Objective/Significance] Scientifically identifying high-value patents in the flow battery field and analyzing their development trends are critical for supporting strategic decision-making and technological layout of innovation entities. [Method/Process] Based on a multi-dimensional patent value evaluation framework encompassing technical, legal, market, economic, and strategic dimensions, this study identifies high-value patents in the flow battery field. Subsequently, using patentometric analysis, it examines the technological development dynamics from the perspectives of application trends, competitive landscape, innovation actors, and key technologies.[Results/Conclusions] The number of flow battery patent applications has increased rapidly; however, the growth in patent quantity has not been fully translated into sustained high-quality innovation output. China demonstrates strong innovation activity as a major application market, while the United States and Japan maintain advantages in core technological innovation and patent quality. High-value patents are mainly concentrated in key materials, battery systems, and battery structural design. Future development of flow batteries is expected to move toward cost reduction, higher energy density, and intelligent system integration.