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Articles 31 - 60 of 963
Full-Text Articles in Entire DC Network
Research On Mechanical Properties Of Concrete At High Temperatures Based On Machine Learning, Liu Junhua, Liu Bin, Cao Haifeng, Liu Zhiguang, Li Zhiyong
Research On Mechanical Properties Of Concrete At High Temperatures Based On Machine Learning, Liu Junhua, Liu Bin, Cao Haifeng, Liu Zhiguang, Li Zhiyong
Journal of China & Foreign Highway
Structural safety is directly affected by the mechanical properties of concrete at high temperatures. Firstly, based on the existing compression and tension test data of concrete at high temperatures, the Abaqus finite element software was adopted for numerical simulation reproduction, and the reliability of the simulation method was verified. Secondly, by simulating the uniaxial tension-compression and confining pressure tests of normal concrete with different strength grades under high temperatures of 20‒800 ℃, the influence rules of temperature on the compressive strength, splitting tensile strength, elastic modulus, and stress ‒ strain relationship of concrete were elucidated. Finally, based on three commonly …
Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe
Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe
Coal Geology & Exploration
Background The circulation depth of geothermal water is an important parameter for investigating geothermal systems or fields. It determines the thermal energy intensity and mineral composition of geothermal water, emerging as a critical factor influencing the efficient and sustainable development and utilization of geothermal resources.Progress This study presents a summary of the characteristics of typical moderate- to low-temperature convective geothermal systems from the perspective of sources (heat and fluid sources), pathways, geothermal reservoirs, cap rocks, and the geothermal water upwelling process and its impacts. Furthermore, this study systematically reviews suitable methods for assessing the circulation depth of geothermal water, …
Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini
Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini
Coal Geology & Exploration
Background The dynamic metamorphism of coals, a significant type of coal metamorphism, represents a fundamental research topic of coal geology. The research achievements have been widely applied in fields such as coal resource evaluation, the prevention and control of coal mine gas, and the exploration and exploitation of coalbed methane (CBM), holding great significance for gaining a deep understanding of the microscopic mechanisms underlying coal deformation and metamorphism, coal and gas outbursts, and CBM occurrence. Method Based on a literature survey and analysis, this study presents a systematic review of the development history of research on the dynamic metamorphism of …
Progress And Prospects Of Geothermal Resource Monitoring Technology, Hao Wenjie, Li Shengtao, Wang Huang, Liu Donglin, Wang Wanli, Qin Junsheng, Jin Xianpeng, Shen Jian, Liu Shuai, Yao Yahui, Hao Shuli, Ren Tao, Liu Zhe, Meng Xianwei, Hou Deren, Ren Xiaoqing, Jia Xiaofeng, Wen Dongguang
Progress And Prospects Of Geothermal Resource Monitoring Technology, Hao Wenjie, Li Shengtao, Wang Huang, Liu Donglin, Wang Wanli, Qin Junsheng, Jin Xianpeng, Shen Jian, Liu Shuai, Yao Yahui, Hao Shuli, Ren Tao, Liu Zhe, Meng Xianwei, Hou Deren, Ren Xiaoqing, Jia Xiaofeng, Wen Dongguang
Coal Geology & Exploration
Background Geothermal resources represent a renewable energy source characterized by abundant reserves, extensive distribution, high stability and reliability, and green and low-carbon attributes. China has led the world in the direct utilization of geothermal energy for many years. Geothermal resource monitoring, which lays the groundwork for geothermal exploration, exploitation, and utilization, provides critical data required to determine dynamic changes in geothermal reservoirs and their surrounding geological environments, ensure long-term sustainable geothermal exploitation and utilization, and achieve the refined management and protection of geothermal resources. Advances In the narrow sense, geothermal resource monitoring technology is primarily applied to individual wells. In …
Preface Of National Think Tank In Science And Technology: Ai Empowers Scientific Research
Preface Of National Think Tank In Science And Technology: Ai Empowers Scientific Research
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Disciplinary System Of Artificial Intelligence: Connotation, Architecture, And Development Suggestions, Academic Divisions Of The Chinese Academy Of Sciences Discipline Group Of Advisory Project On Ai-Empowered Scientific Research
Disciplinary System Of Artificial Intelligence: Connotation, Architecture, And Development Suggestions, Academic Divisions Of The Chinese Academy Of Sciences Discipline Group Of Advisory Project On Ai-Empowered Scientific Research
Bulletin of Chinese Academy of Sciences (Chinese Version)
The discipline of artificial intelligence studies the theories, methods, systems, applications, enabling functions, ethics, and governance of artificial intelligence, and is a typical interdisciplinary field. With the rapid development of artificial intelligence in recent years, its disciplinary connotations and system architecture urgently require renewed examination. Based on the analysis of development trends of artificial intelligence, this paper elucidates the connotations of the AI discipline from four perspectives: theoretical methods, forms of intelligence, disciplinary integration, and application empowerment. It further proposes a disciplinary system framework for artificial intelligence comprising foundational supporting disciplines, core body of knowledge, major forms of intelligence, and …
Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao
Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
Particle physics and nuclear physics are core foundational disciplines for exploring the fundamental structure of matter and the origin of the universe. The deep integration of artificial intelligence (AI) technology is providing entirely new pathways to address systemic challenges such as the processing of massive amounts of multimodal data, the realization of extreme experimental conditions, bottlenecks in theoretical calculations, and the intelligent control of large-scale scientific facilities. The article systematically elaborates on how AI deeply empowers particle physics and nuclear physics, particularly in major application scenarios such as research on the fundamental structure and origin of mass of matter, the …
Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang
Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang
Bulletin of Chinese Academy of Sciences (Chinese Version)
AI for Science (hereinafter referred to as AI4S) is driving profound changes in the paradigm of scientific research. Chemistry, as a central discipline for creating new substances and supporting major national strategic needs such as energy, health, dual carbon goals, advanced manufacturing, and ecological governance, is an important application scenario of AI4S. At present, innovation in the discipline of chemistry by young researchers still faces knowledge silos, capability silos, and resource silos: the accumulation of professional knowledge requires years of effort, frontier knowledge is highly differentiated, experimental capabilities are difficult to reuse, and high-end resources are difficult to coordinate, which …
Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang
Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Materials innovation has long been constrained by vast design spaces, complex processing routes, lengthy validation cycles, and difficulties in engineering translation. Traditional research and development models, which mainly rely on accumulated experience, theoretical deduction, and experimental trial and error, have become increasingly insufficient to meet the demand for rapid breakthroughs in critical materials. In recent years, artificial intelligence has been increasingly integrated into materials design, synthesis, and processing, characterization, evaluation, optimization, and application feedback, promoting the transformation of materials innovation from experience-driven exploration to data-driven development and from discrete trial and error to closed-loop optimization. Based on an analysis of …
Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng
Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng
Bulletin of Chinese Academy of Sciences (Chinese Version)
Cybersecurity research, institutional structures, and governance policies are undergoing profound transformations. Currently, increasingly covert and rapidly evolving intelligent attacks, coupled with the national urgent expectations for high-level security, are driving significant shifts in the roles and interactions of governments, research institutions, and enterprises. Consequently, this study, based on analyzing the challenges and opportunities of the AI era, explores core application scenarios such as critical information infrastructure protection, national data security, and the maintenance of cyberspace sovereignty. It provides an analysis of artificial intelligence in dimensions such as correlation and causality, and proposes a governance framework, aiming to provide insights for …
Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu
Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as …
Artificial Intelligence Empowering Space Science—Case Study Of Space Weather, Chi Wang, Hui Li, Bingxian Luo, Fang Shen, Jingjing Wang, Lingqian Zhang, Yi Yang, Dong Zhao
Artificial Intelligence Empowering Space Science—Case Study Of Space Weather, Chi Wang, Hui Li, Bingxian Luo, Fang Shen, Jingjing Wang, Lingqian Zhang, Yi Yang, Dong Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
Space science is currently confronted with a triple challenge: the explosive growth of observational data, the strongly coupled cross-scale nature of physical processes, and the increasingly urgent national strategic demands. The limitations of traditional research paradigms in analytical efficiency, forecast accuracy, and autonomous capability hinder their effectiveness in meeting critical requirements such as safeguarding on-orbit satellites and ensuring the successful execution of major space missions. This study proposes a three-layer “perception–cognition–decision-making” architecture for intelligent space science. Taking space weather—a domain with strong operational relevance—as a representative case, the four-dimensional paradigm transformation driven by artificial intelligence is systematically examined across key …
Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu
Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Remote sensing science and technology, as a key discipline for Earth observation and global change research, faces systemic challenges in processing massive multi-source data, accurately extracting complex information, and delivering high-timeliness application services. The rapid advances in artificial intelligence (AI) provide a new opportunity to address the deep-seated dilemma in remote sensing of being “data-rich but insufficient in effective information mining”. Guided by a problem-oriented approach, this study first systematically analyzes the core challenges facing the development of remote sensing across four dimensions: data understanding, technical methods, scientific mechanisms, and application ecosystems. It then reviews the technical evolution of AI-empowered …
Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv
Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv
Bulletin of Chinese Academy of Sciences (Chinese Version)
Deep Earth science is central to understanding Earth’s internal architecture and the coupled evolution of its major spheres, while also underpinning energy security, the supply of critical mineral resources, and resilience to major geohazards. Nevertheless, the advancement of deep Earth science is currently hindered by insufficient in situ observations under extreme conditions, the difficulty of integrating multi-source heterogeneous data, and the limited capability to model complex multiphysics coupling processes. Recent advances in artificial intelligence offer a potential route beyond these limitations. By integrating data-driven learning with physical and geological understanding, AI is reshaping deep Earth science from empirical interpretation to …
Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han
Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han
Bulletin of Chinese Academy of Sciences (Chinese Version)
Life related processes are characterized by high dimensionality and multi-scale properties. Understanding mechanisms underpinning life processes helps promote national healthcare, agricultural development, sustainable ecological civilization, and national security. Current life science research is confronted with an enormous challenge of dimensionality stemming from data explosion and data fragmentation, for which the recent rapid advancement of artificial intelligence (AI) provides novel solutions. AI will catalyze a paradigm shift in life science research from the current experiment based empirical induction to a new closed-loop knowledge acquisition including large scale data collection, model building, model prediction, experimental validation, and iterative of these procedures. Life …
Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue
Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue
Bulletin of Chinese Academy of Sciences (Chinese Version)
The biopharmaceutical industry is a critical domain underpinning national scientific and technological innovation development and public health. With the rapid advancement of artificial intelligence (AI) and its deep integration with the life sciences, biomedicine research is undergoing a paradigm shift from traditional experience-driven trial-and-error approaches to data-driven and predictive validation-based models. This study systematically examines the pathways for reshaping research in biomedicine paradigms under the convergence of data-driven, mechanism-driven, and intelligence-driven approaches. It focuses on recent advances in the application of AI across key stages, including drug discovery and design, druggability evaluation, delivery system design and optimization, nonclinical and clinical …
Artificial Intelligence For Science: Connotations, Characteristics, And System, Kaihua Chen, Heyang Li, Hongxin Liu, Binbin Zhao, Shuo Yang
Artificial Intelligence For Science: Connotations, Characteristics, And System, Kaihua Chen, Heyang Li, Hongxin Liu, Binbin Zhao, Shuo Yang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Artificial intelligence is profoundly transforming the fundamental nature of scientific research, reshaping its modes of knowledge production and organizational operation, driving the emergence of a new artificial intelligence for science (AI4S) research paradigm, and accelerating full-chain innovation paradigm transformation. This study defines the basic connotations of AI4S across three dimensions, namely, enabling applications, tools and methods, and epistemic knowledge, and systematically identifies five core characteristics: human-machine symbiosis, autonomous evolution, interdisciplinary integration, resource intensity, and open ecosystems. It further constructs a supporting system and operational architecture encompassing layers of infrastructure, data resources, model tools, task execution, and application scenarios. Building on …
Development Path And Prospects Of Technologies For Detecting Hidden Hazards In Coalfield Fire Zones, Deng Jun, Wang Jinrui, Ren Shuaijing, Song Zeyang, Wang Caiping, Li Yaqing, Lu Junhui, Qu Gaoyang
Development Path And Prospects Of Technologies For Detecting Hidden Hazards In Coalfield Fire Zones, Deng Jun, Wang Jinrui, Ren Shuaijing, Song Zeyang, Wang Caiping, Li Yaqing, Lu Junhui, Qu Gaoyang
Coal Geology & Exploration
Background Hidden hazards in coalfield fire zones are characterized by limited detectability, rapid evolution, and multi-hazard coupling, posing major challenges to the safe coal mining and related ecological restoration. Methods This study aims to achieve the fine-scale identification and risk control of hidden hazards in coalfield fire zones. Based on a systematic review of the genetic mechanisms and spatial distribution patterns of coalfield fire zones, this study summarizes the characteristics of three primary fire zone types: outcrop/surface fire zones, shallowly buried fire zones, and deeply buried underground burnt-out areas and fire zones within old coal pits. Multi-dimensional hazards caused by …
Ecological Interest Theory Of “Lucid Waters And Lush Mountains Are Invaluable Assets” And Its Application In The Yellow River Basin, Guangqian Wang, Deyu Zhong
Ecological Interest Theory Of “Lucid Waters And Lush Mountains Are Invaluable Assets” And Its Application In The Yellow River Basin, Guangqian Wang, Deyu Zhong
Bulletin of Chinese Academy of Sciences (Chinese Version)
To address the core challenges of quantifying ecological value and converting it into economic gains, this study proposes a theoretical framework of ecological interest (EI) based on the principle that “lucid waters and lush mountains are invaluable assets”. Three fundamental origins of ecological interest are explained, including the temporal value discount, the spatial ecological compensation, and the civilizational occupation-compensation balance. These three dimensions establish the logical connection between ecological and economic values. Setting a 5% annual simple interest rate as the benchmark and adopting “Lucid Waters and Lush Mountains” green certificates as the standardized ecological assets for property rights delineation …
Seizing Strategic High Ground Of Space Computing Power: Global Competition Landscape And China’S Path, Yan Chen, Wenbin Song, Ping Zhang
Seizing Strategic High Ground Of Space Computing Power: Global Competition Landscape And China’S Path, Yan Chen, Wenbin Song, Ping Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The deep integration of artificial intelligence and commercial aerospace is accelerating the transformation of space computing power from conceptual exploration to engineering verification, becoming a key direction for building an integrated space-air-ground information infrastructure. This study delves into its strategic value, global landscape, industrial chain bottlenecks, and advancement paths. The research reveals that the core value of space computing power does not lie in replacing ground data centers, but rather in focusing on network coverage blind spots, data transmission limitations, and high-timeliness scenarios, providing a new supply model of “in-orbit computing + space-ground collaboration”. Currently, the world has entered a …
Dialogue Between Mind And Algorithm: Deep Symbiosis Of Psychology And Artificial Intelligence, Xiaolan Fu, Zheng Yan
Dialogue Between Mind And Algorithm: Deep Symbiosis Of Psychology And Artificial Intelligence, Xiaolan Fu, Zheng Yan
Bulletin of Chinese Academy of Sciences (Chinese Version)
As artificial intelligence (AI) evolves from a supportive tool into a collaborative partner, the convergence of psychology and AI is gradually shifting from one-way application toward deep symbiosis. This study discusses the mutual empowerment resulting from their interaction, as well as the challenges they face and potential pathways to breakthroughs. On the one hand, psychology empowers AI by enhancing its human-like intelligence and social adaptability through cognitive modeling and ethical constraints; on the other hand, AI empowers psychology by leveraging multimodal data and algorithmic models to revolutionize psychological assessment and intervention methods. This deep symbiosis requires a clear-eyed acknowledgment of …
Evapotranspiration Everywhere, All The Time: Towards A Unified View From Earth Observation, Joshua B. Fisher, Martha C. Anderson, Diego G. Miralles, Kanishka Mallick, Paul C. Stoy, Youngryel Ryu, Wim G. M. Bastiaanssen
Evapotranspiration Everywhere, All The Time: Towards A Unified View From Earth Observation, Joshua B. Fisher, Martha C. Anderson, Diego G. Miralles, Kanishka Mallick, Paul C. Stoy, Youngryel Ryu, Wim G. M. Bastiaanssen
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Scientists want to know everything, everywhere, and all the time. This is particularly true in Earth science, where we seek to understand processes that span from the molecular to the planetary scale in how the world works, how it affects us, and how we impact it—especially the water cycle. Evapotranspiration (ET) was the last component to be measured in closing the water cycle: for decades, closing the water budget meant adding up all the measurable components, then inferring ET as the residual. Early measurements relied on water loss from pans and weighing lysimeters, followed by sensors inserted into plants to …
Science And Technology Empower New Quality Productive Forces To Promote Green Sustainable Development, Yongxiang Lu
Science And Technology Empower New Quality Productive Forces To Promote Green Sustainable Development, Yongxiang Lu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The rapid development of science and technology drives industrial innovation and upgrading, and promotes productive forces toward green, intelligent, and sustainable development. While improving production efficiency, new quality productive forces also promote green and sustainable development. This study reviews on green intelligent manufacturing technologies, green renewable energy technologies, green transportation technologies, and green data technologies, also explores their significance for global green and sustainable development.
Impact Of Climate Change On Agricultural Production In The North China Plain And Adaption Strategies, Yanjun Shen, Ying Guo, Chuanwei Zhang, Yaning Chen
Impact Of Climate Change On Agricultural Production In The North China Plain And Adaption Strategies, Yanjun Shen, Ying Guo, Chuanwei Zhang, Yaning Chen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Over the past century, global warming has posed significant challenges to the North China Plain (NCP), a core region for grain production, where resource-induced water scarcity now coincides with complex meteorological disasters. In recent years, the NCP has exhibited new climatic characteristics, notably the transition from a “warm-dry” to a “warm-wet” pattern accompanied by asymmetric warming, leading to an increased frequency of extreme events such as droughts, abrupt dry-flood alternations, and temperature extremes. These shifts pose a grave threat to regional grain stability. Currently, critical gaps remain in the understanding of the underlying disaster mechanisms, as well as in predictive …
Impact And Countermeasures Of Climate Change On Grain Production In Northwest China, Qin’Ge Dong, Jianqiang He, Yi Li, Ning Yao, Xiang Li, Haolei Zhang, Shengnan Wang, Tengcong Jiang, Baiqing Chen, Chunrui Gao, Chao Liang, Guiyuan Zhang, Lei Gong, Jinxuan Zhao, Qiang Yu, Hao Feng
Impact And Countermeasures Of Climate Change On Grain Production In Northwest China, Qin’Ge Dong, Jianqiang He, Yi Li, Ning Yao, Xiang Li, Haolei Zhang, Shengnan Wang, Tengcong Jiang, Baiqing Chen, Chunrui Gao, Chao Liang, Guiyuan Zhang, Lei Gong, Jinxuan Zhao, Qiang Yu, Hao Feng
Bulletin of Chinese Academy of Sciences (Chinese Version)
Global climate change is reshaping the agricultural production patterns of grain crops in Northwest China. As an important reserve region for national grain production, Northwest China faces multiple uncertainties and compound risks in food security. This study analyzes the current status and limiting factors of grain production, along with regional climate change trends, and systematically evaluates the impacts of climate change and its associated disasters on the spatial distribution, cropping systems, and yield formation of major crops such as wheat, maize, and potato. Over the past 60 years, the region has experienced a warming rate of approximately 0.32℃ per decade …
Accelerating Marine Science And Technology Innovation Under Great Power Competition: Challenges And Recommendations, Qingbin Guo, Yongsha Xiong, Shifang Sun
Accelerating Marine Science And Technology Innovation Under Great Power Competition: Challenges And Recommendations, Qingbin Guo, Yongsha Xiong, Shifang Sun
Bulletin of Chinese Academy of Sciences (Chinese Version)
Against the backdrop of intensifying great-power competition, the core issues of global technological competition and cooperation are increasingly converging on the marine domain. The oceans are progressively becoming a critical strategic sphere for national development and security. At present, China is steadily advancing towards its goal of becoming a maritime power, achieving historic leaps in technological innovation such as shipbuilding and deep-sea exploration. Nevertheless, the path ahead for China’s marine science and technology innovation will inevitably face severe international circumstances and competition from established global maritime powers. Based on a review of global and Chinese progress in marine science and …
Construction Of China’S Marine Protected Area System In 15th Five-Year Plan, Ke Duan, Danhong Chen, Keqiang Li, Limin Han, Zhengyan Liu, Dongliang Lu, Xiulin Wang
Construction Of China’S Marine Protected Area System In 15th Five-Year Plan, Ke Duan, Danhong Chen, Keqiang Li, Limin Han, Zhengyan Liu, Dongliang Lu, Xiulin Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The establishment of the marine protected area (MPA) system constitutes a critical component of the national initiative to comprehensively advance the development of a nature reserve system centered on national parks. This study explores on domestic and international development trends from aspects such as conservation strategies, international policies, high seas protection, and development trends. It also sorts out and analyzes the construction status of marine protected area systems in China and the United States. Centering on issues in China related to spatial layout, management systems, policies and laws, scientific research support, high seas governance, and land-sea management, the study puts …
Strategic Talent Management In Era Of Intelligence And Digitalization: Current Situation And Path Exploration, Chaoying Tang, Chunyuan Wang
Strategic Talent Management In Era Of Intelligence And Digitalization: Current Situation And Path Exploration, Chaoying Tang, Chunyuan Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The report of the 20th National Congress of the Communist Party of China emphasized “speed up efforts to build a contingent of personnel with expertise of strategic importance” to support China’s pursuit of high-level technological self-reliance and its goal of becoming a world-leading power in science and technology. The deep integration of digital and intelligent technologies is fundamentally transforming talent management paradigms and innovation processes, posing new demands on the knowledge structure, competency models, and management approaches of strategic talents. The study explores the concepts of strategic talent management in the digital intelligent era, establishes its logical framework, analyzes current …
Panoramic Analysis And Strategic Proposals Of Helium Research In China Based On Knowledge Graph, Huayang Li, Quanyou Liu, Dongya Zhu, Xiaoqi Wu, Chi Zhang, Zehui Shi
Panoramic Analysis And Strategic Proposals Of Helium Research In China Based On Knowledge Graph, Huayang Li, Quanyou Liu, Dongya Zhu, Xiaoqi Wu, Chi Zhang, Zehui Shi
Bulletin of Chinese Academy of Sciences (Chinese Version)
Helium is a critical rare gas essential for aerospace, medical devices, and semiconductor production. With about 85% of its helium coming from imports, China’s advancement of exploration and development technologies is vital for national resource security. This study analyzes helium-related publications from CNKI (2000–2025) using advanced data visualization and statistical methods. It introduces a three-pronged approach–data-driven analysis, visual representation, and mechanistic explanation–to offer the first comprehensive examination of China’s helium exploration and development research, revealing its evolution and current state from multiple perspectives and providing fresh insights. By examining publication trends, institutional contributions, and evolving research priorities, the study maps …
Impacts Of Climate Change On Agricultural Production And Adaptation Strategies In Northeast China, Ming Jiang, Aizhen Liang, Peng Qi
Impacts Of Climate Change On Agricultural Production And Adaptation Strategies In Northeast China, Ming Jiang, Aizhen Liang, Peng Qi
Bulletin of Chinese Academy of Sciences (Chinese Version)
As the “stabilizer” of national food security, Northeast China is highly sensitive to climate change. Over the past 60 years, the regional temperature has risen significantly at a rate of 0.034℃/a, which is much higher than the global average of 0.0074℃/a. The improvement of thermal resources has driven a significant northward expansion of high-yield and heat-demanding crops, such as maize and rice. Nevertheless, increased warming has enhanced evapotranspiration demand, which, combined with the expansion of planting scales, has led to a 19.8% increase in agricultural irrigation water consumption over the past 20 years, resulting in a prominent contradiction between supply …