[Objective/Significance] China’s biomanufacturing has an important impact on a global scale and is in a critical period of industrial development driven by synthetic biology. To meet the social demands for the dual-carbon target, biomanufacturing driven by synthetic biology technology has shown great vitality. [Method/Process] Based on literature research and long-term investment research/interviews, the impact of biotechnology on production methods in recent years, as well as the current status and trends of biomanufacturing development in various fields, were analyzed. [Results/Conclusions] Biomanufacturing will continue to expand its boundaries, penetrate into all areas of the national economy, and promote industrial transformation and development. New proteins, functional sugars, natural ingredients, etc. will become hot areas of biomanufacturing in the future. The biotechnological utilization of non-grain raw materials has become more abundant, forming an echelon of development in the country. The next five years will become a critical period for technological breakthroughs. Advanced biomanufacturing is still in the early stages of development, and aspects such as R&D, industry and policy cannot yet adapt to the requirements of rapid development. All sectors of industry, academia, research and government should work together according to the characteristics of the industry to smooth the innovation chain and industrial chain, and build a joint force to promote the advancement of the industry.

[Objective/Significance] Connective tissue disease-associated interstitial lung disease (CTD-ILD) represents a heterogeneous group of disorders characterized by chronic inflammation, progressive fibrosis, and declining lung function, with incompletely understood pathogenesis. Neutrophil extracellular traps (NETs), as web-like structures released by neutrophils under stress conditions, possess antimicrobial and immunomodulatory functions. However, aberrant NET formation and insufficient degradation may incite inflammatory responses and tissue injury. Recent studies have revealed that NETs play a pivotal role in CTD-ILD pathogenesis by mediating autoimmune reactions, promoting inflammatory microenvironment formation, and directly damaging alveolar architecture. This review aims to summarize the potential pathogenic mechanisms of NETs in CTD-ILD, providing a theoretical foundation for elucidating disease pathophysiology and identifying novel therapeutic targets. [Method/Process] This paper adopts a literature review approach, systematically searching and analyzing domestic and international studies on NETs and CTD-ILD. It examines the biological characteristics of NETs and their pathogenic mechanisms in different cell types of CTD-ILD, with a focus on how NETs contribute to the development of CTD-ILD by mediating autoimmune responses, promoting the formation of an inflammatory microenvironment, and directly damaging alveolar structures. [Results/Conclusions] NETs contribute to CTD-ILD pathogenesis through multiple pathways: promoting lung fibroblast-to-myofibroblast transition and excessive extracellular matrix deposition; inducing alveolar epithelial necroptosis, ferroptosis, and epithelial-mesenchymal transition; compromising vascular endothelial integrity and triggering endothelial-mesenchymal transition with microthrombosis; polarizing macrophage phenotypic imbalance and driving macrophage-myofibroblast transformation; and acting as autoantigens to activate dendritic cell antigen presentation, thereby amplifying T/B cell-mediated autoimmune responses. Targeting key components of NETs has shown potential to alleviate disease progression in animal models, but clinical application still faces challenges such as mechanistic heterogeneity, lack of individualized treatment strategies, and infection risk management. Future research should leverage multi-omics approaches to deeply explore the heterogeneous mechanisms of NETs, elucidate NETs’ cellular interaction networks, and investigate combination strategies with existing drugs to develop predictive efficacy models for precise therapy.

[Objective/Significance] Education, science and technology, and talents are the basic and strategic support for building a modern socialist country in an all-round way. They were first proposed in the report of the 20th National Congress of the Communist Party of China. The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China further put forward the new strategic plan of“promoting the development of educational science and technology talents in one”. Deepening the theoretical understanding of promoting the development of educational science and technology talents is the logical basis for coordinating the reform of the three systems and mechanisms, and also the action guide for implementing the new development philosophy. [Method/Process] Introducing the conceptual framework of knowledge, grounded in Marx’s theory of social reproduction, this study elucidates the logical relationships among knowledge, education, science and technology, talent, and the economy within the context of digital intelligence. It clarifies the mechanisms of integration and interaction between the knowledge activity system and education, science and technology, talent, and the economy. By mapping the holistic structure of knowledge activities among universities, research institutions, and enterprises, it reveals the pathway for advancing the integrated development of education, science and technology, and talent. [Results/Conclusions] It enriches the logical understanding of promoting the development of educational science and technology talents in an integrated way, and can provide policy reference and intelligence for the high-quality development of education, science and technology, talents and economy.

[Objective/Significance] By analyzing the strategic deployment of quantum materials and devices in major countries, this paper aims to provide references for the development of quantum materials in China. [Method/Process] This study investigated and reviewed the strategic plans on quantum materials and devices in the United States, Japan, the European Union, and the United Kingdom, and analyzed the patterns of their deployment. [Results/Conclusions] The study found that major countries generally emphasize interdisciplinary collaboration and data-driven materials research, fostering deeply integrated “industry-academia-research-application” ecosystems. Supply chain security is treated as a strategic priority, ensuring stable access to critical materials, components, and technologies. Based on these findings, the following recommendations are proposed for China's development: Strengthen multidisciplinary integration and establish high-ground platforms for original innovation in quantum materials. Innovate demand-driven research-organization models and develop product-oriented R&D pathways for quantum materials. Enhance supply chain risk assessment and dynamic monitoring, while deepening international cooperation in the field of quantum materials.

[Objective/Significance] This study aims to conduct an in-depth analysis of the current research status of generative AI (GenAI) governance domestically and internationally, identify research hotspots, and explore the research landscape. [Method/Process] Based on literature related to GenAI security governance from CNKI and WoS, this paper employs a combination of scientometric analysis and BERTopic topic modeling to reveal the current state of GenAI security governance research from two major perspectives: institutional characteristics and thematic content analysis, with the goal of providing recommendations for governance practices in China. [Results/Conclusions] The findings indicate that partial collaborative innovation networks have formed domestically and internationally. Overall, risk analysis is conducted across five governance scenarios: data security, online public discourse ecosystems, academic ethics, educational settings, and healthcare. Governance solutions derived include strengthening ideological guidance and technical education, establishing sound laws and regulations, improving regulatory safeguard systems, enhancing technical monitoring capabilities, and forming agile governance models.

[Objective/Significance] Helium has not been explored as an independent resource type for a long time, so we have limited understanding of the particularity of its reservoir formation. The research, evaluation and exploration of helium resources in China are in their infancy and the resources and reserves are basically unknown. It is of great guiding value to understand the development trend of helium upstream industry in China for solving the “bottleneck” problem of helium exploration and development and ensuring the safety of helium resources in China. [Method/Process] Based on PSS system, this paper obtained 51 China patents applied by upstream helium industry in China, and discussed the development trend of upstream helium industry in China through patent map analysis. [Results/Conclusions] According to patent management map analysis, the upstream helium industry in China is currently in its infancy. Universities related to petroleum play a leading role in basic research, while CNPC (include PrtroChina) and Sinopec account for the absolute dominant force in exploration practice. Through the analysis of patent technology map, G01N33 IPC is the main technical development direction in helium upstream field, and has always been the focus and hot spot of technology research and development. At present, it focuses on using G01N33 technology to identify helium sources, establish research methods for helium migration and accumulation, and develop technical branches of related devices. In addition, using G06F17 technology to identify helium sources and calculate helium resources, and using G16C20 technology to identify helium sources are also hot spots in this field. The potential research hotspots and technical breakthroughs in this field mainly focus on how to use G01V5 technology to calculate helium resources, G01V1 and G06F18 technology to predict helium favorable areas, G01V11 technology to establish exploration methods and processes, and G01N30 technology to develop rapid helium content detection instruments. In addition to the current technology research and development hotspots, there are still some technical gaps due to the difficulty of research and development. But these blank areas are vital to the development of the whole industry. It is suggested that CNPC (include PrtroChina) and Sinopec should join forces with petroleum-related institutions of higher learning, complement each other's advantages, rely on national major scientific and technological projects and other platforms to tackle key problems together, and ensure the safety of helium resources in China by technological innovation.

[Objective/Significance] To examine the current state of drone operational safety, identify challenges, and explore future development directions, thereby promoting the healthy growth of the drone industry. [Method/Process] Based on an analysis of research progress in drone operational safety over the past decade, this study comprehensively analyzed 1087 papers from the Web of Science and CNKI databases (from 2014 to 2024) using bibliometric methods and CiteSpace visualization tools across multiple dimensions. [Results/Conclusions] Findings indicate a rapid growth trend in unmanned aerial vehicle (UAV) operational safety research, with particularly significant increases from 2019 to 2022. Research primarily originates from China, the United States, the United Kingdom, and other nations, with China demonstrating exceptional prominence in both influence and output within this field, accounting for one-third of the total research volume. Current research hotspots center on risk assessment, anti-collision technology, and operational safety applications. Risk assessment and anti-collision technology constitute the two primary domains, accounting for approximately 30% and 18% of total publications, respectively. As future UAV application scenarios diversify, novel safety challenges may emerge,such as integrating airspace safety management with multi-UAV collaborative operations. Consequently, risk assessment and safety assurance for UAV operations will become key research priorities.

[Objective/Significance] This paper proposes a method for automatically extracting future work sentences (FWS) from academic articles based on large language models (LLMs), aiming to address the issues of high computational cost, low semantic recognition accuracy, and limited generalization capability in traditional identification methods. [Method/Process] Firstly, this paper adopts the methods of chain-of-thought (CoT) and prompt engineering, and leverages large language models (LLMs) to automatically extract future work sentence sets from the full text of papers. Subsequently, this paper employs the KeyBERT algorithm to extract keywords from both the future work sentence sets and the abstracts, so as to conduct correlation analysis and predict research directions in specific fields. [Results/Conclusions] Based on the extraction methods of Mixtral8×7B, GPT-5 Mini, and Gemini 2.5 Flash, the cosine similarity values with the test set reach 0.755, 0.872, and 0.871 respectively. Compared with the optimal benchmark method, these values represent an improvement of 9.5, 21.2, and 21.1 percentage points respectively, which significantly enhances the extraction accuracy of future work sentences (FWS).The method proposed in this study can achieve better FWS extraction performance while saving annotation costs, and effectively classify FWS. It provides more forward-looking and fine-grained data support for identifying and analyzing the future research directions in specific fields.

[Objective/Significance] As a major scientific research country, China has long faced the persistent challenge of scientific paper outflow. This study aims to empirically examine the localization publication process of Chinese scholarly publications and its staged characteristics through bibliometric analysis, thereby providing data-driven support for optimizing the ecosystem of China’s scientific journals. [Method/Process] Drawing on the InCites database, the study analyzes China (excluding Hong Kong, Macao, and Taiwan)-hosted English-language journals from multiple dimensions, including journal scale, publication volume, proportion of publications by Chinese institutions, and academic impact. [Results/Conclusions] In recent years, the publication capacity of China (excluding Hong Kong, Macao, and Taiwan) -hosted English-language journals has increased substantially. Both the number and proportion of papers published by China (excluding Hong Kong, Macao, and Taiwan) institutions in these journals have risen markedly, with a clear trend of channeling more high-quality research outputs to domestic platforms. The Chinese Academy of Sciences and the“985 Project”universities, as the core drivers of national research, have demonstrated particularly strong performance. Nevertheless, in this process, the government still needs to establish a dynamic monitoring system to mitigate potential risks stemming from policy misinterpretation.