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Global coal-rock gas resource potential and distribution 认领 引用 被引量：1
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作者 LI Guoxin CHEN Ruiyin +7 位作者 WEN Zhixin ZHANG Junfeng HE Zhengjun FENG Jiarui KANG Hailiang MENG Qingyang MA Chao SU Ling 《Petroleum Exploration and Development》 SCIE 2026年第1期16-30,共15页
Based on the data of regional geology,seismic,drilling,logging and production performance obtained from 94 major petroliferous basins worldwide,the global coal resources were screened and statistically analyzed.Then,u... Based on the data of regional geology,seismic,drilling,logging and production performance obtained from 94 major petroliferous basins worldwide,the global coal resources were screened and statistically analyzed.Then,using established definition methods and evaluation criteria for coal-rock gas in China,and by analogy with the tectono-sedimentary and burial-thermal evolution conditions of coal rocks in sedimentary basins within China,the geological resource potential of global coal-rock gas was estimated mainly by the volume method,partly by the volumetric method in selected regions.According to the evaluation indicator system comprising 14 parameters under 5 categories and the associated scoring criteria,the target basins were ranked,and the future research targets for these basins were proposed.The results reveal that,globally,coal rocks are primarily formed in four types of swamp environments within four categories of prototype basins,and distributed across five major coal-forming periods and eight coal-accumulation belts.The total geological coal resources are estimated at approximately 42×1012t,including 22×1012t in the strata deeper than 1500 m.The global geological coal-rock gas resources in deep strata are roughly 232×1012m3,of which over 90%are endowed in Russia,Canada,the United States,China and Australia,with China contributing 24%.The top 10 basins by coal-rock gas resource endowment,i.e.Alberta,Kuznetsk,Ordos,East Siberian,Bowen,West Siberian,Sichuan,South Turgay,Lena-Vilyuy and Tarim,collectively hold 75%of the global total.The Permian,Cretaceous,Carboniferous,Jurassic,and Paleogene-Neogene account for 32%,30%,18%,10%,and 7%of total coal-rock gas resources,respectively.The 10 most practical basins for future coal-rock gas exploration and development are identified as Alberta,Ordos,Kuznetsk,San Juan,Sichuan,East Siberian,Rocky Mountain,Bowen,Junggar and Qinshui.Propelled by successful development practices in China,coal-rock gas is now entering a phase of theoretical breakthrough,technological innovation,and rapid production growth,positioning it to spearhead the next wave of the global unconventional oil and gas revolution. 展开更多
关键词 coal coal-rock gas geological resources resource potential basin type resource distribution gas content
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Occurrence modes and comprehensive utilization of critical metal resources associated with coal:A review 认领 引用 被引量：2
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作者 Qin Zhang Wei Cheng +6 位作者 Tiebin Zhang Hongbo Liu Jiwei Yuan Aoao Chen Tingshun Wang Qian Liu Jianghe Wang 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第2期277-293,共17页
Coal serves not only as a crucial energy resource but also as a significant reservoir of critical metal elements,including Lithium(Li),Gallium(Ga),Germanium(Ge),and rare earth elements(REE).This paper provides a syste... Coal serves not only as a crucial energy resource but also as a significant reservoir of critical metal elements,including Lithium(Li),Gallium(Ga),Germanium(Ge),and rare earth elements(REE).This paper provides a systematic review of the enrichment characteristics,occurrence modes,and comprehensive utilization potential of these critical metals in coal.Globally,the distribution of these metal resources exhibits significant regional heterogeneity.While the concentration in most coals falls below industrial cut-off grades,anomalous enrichment in specific coal basins results in Li,Ga,Ge,and REE concentrations far exceeding global averages,highlighting their considerable potential as unconventional metal deposits.The occurrence modes of these metals are diverse:Li is primarily hosted in mineral phases;Ga exists in inorganic,organic,and complex forms;Ge shows a strong association with organic matter;and REE are mainly present in adsorbed/isomorphic forms within clay minerals,while also displaying organic affinity.Direct extraction of metals from raw coal is often cost-prohibitive;effective recovery is therefore more feasible when integrated with coal processing.Metals are further enriched in solid wastes such as coal gangue,fly ash,and bottom ash,from which recovery is more economically and technically viable.Current comprehensive utilization primarily employs integrated mineral processing-hydrometallurgy approaches.Future research should focus on elucidating the precise occurrence forms of metals in coal and solid wastes,optimizing pre-treatment methods,and selecting effective activators and leachants.Advancing the synergistic extraction and green recovery of multiple associated resources from coal and its by-products is essential for achieving high-value,comprehensive utilization of coal-based resources. 展开更多
关键词 Coal-associated resources Lithium Gallium Germanium Rare carth elements Extraction and separation
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Joint multi-dimensional resource scheduling for cooperative tracking of multiple LEO targets via space-based radar networks 认领 引用 被引量：1
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作者 Qingwei YANG Libing JIANG +2 位作者 Shuyu ZHENG Yingjian ZHAO Zhuang WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期449-466,共18页
Appropriate resource scheduling is the key to achieving the best performance of Low Earth-Orbit(LEO)Multi-Target Tracking(MTT)for the Space-based Radar Networks(SBRN)system.The high-velocity nature of satellites impos... Appropriate resource scheduling is the key to achieving the best performance of Low Earth-Orbit(LEO)Multi-Target Tracking(MTT)for the Space-based Radar Networks(SBRN)system.The high-velocity nature of satellites imposes high demands on the convergence rate of filtering and tracking accuracy while escalating the complexity of dynamic scheduling.To address these challenges,this paper utilizes Two-Line Elements(TLE)information to fully exploit the limited power-aperture resource of space-based Colocated Multiple-Input Multiple-Output(C-MIMO)radar and constructs a Walker constellation SBRN system.On this basis,a cognitive distributed cooperative tracking framework with fusion feedback mechanism is proposed.Each node can serve as the fusion center,achieving optimal fusion through the Fast Covariance Intersection(FCI)criterion while reducing the communication requirements.The global outcomes are fed back to all local nodes which can hasten the convergence rate of target state estimation.To maximize the global MTT performance,a closed-loop Joint Multi-Dimensional Resource Scheduling(JMDRS)strategy that considers multi-coverage conditions and visible windows is established.Moreover,the Posterior Cramer-Rao Lower Bound under Global Fusion Feedback(GF-PCRLB)is derived to provide a quantifiable metric for the overall performance.Finally,a fast suboptimal solution to the nonconvex model is proposed based on cross-iterative dimension reduction and variable decoupling.It introduces the tracking Efficiency-to-Cost Ratio(ECR)to jointly decide the beam pointing as well as the transmit power and fusion weight of each beam.Numerical results demonstrate that the proposed method significantly outperforms the existing approaches in enhancing the MTT performance of the SBRN system. 展开更多
关键词 Dynamic resource allocation Moving platform cooperative tracking Multi-Target Tracking(MTT) Space-based Radar Networks(SBRN) Task management
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Research on Vehicle Joint Radar Communication Resource Optimization Method Based on GNN-DRL 认领 引用 被引量：1
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作者 Zeyu Chen Jian Sun +1 位作者 Zhengda Huan Ziyi Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第2期1430-1446,共17页
To address the issues of poor adaptability in resource allocation and low multi-agent cooperation efficiency in Joint Radar and Communication(JRC)systems under dynamic environments,an intelligent optimization framewor... To address the issues of poor adaptability in resource allocation and low multi-agent cooperation efficiency in Joint Radar and Communication(JRC)systems under dynamic environments,an intelligent optimization framework integrating Deep Reinforcement Learning(DRL)and Graph Neural Network(GNN)is proposed.This framework models resource allocation as a Partially Observable Markov Game(POMG),designs a weighted reward function to balance radar and communication efficiencies,adopts the Multi-Agent Proximal Policy Optimization(MAPPO)framework,and integrates Graph Convolutional Networks(GCN)and Graph Sample and Aggregate(Graph-SAGE)to optimize information interaction.Simulations show that,compared with traditional methods and pure DRL methods,the proposed framework achieves improvements in performance metrics such as communication success rate,Average Age of Information(AoI),and policy convergence speed,effectively enabling resource management in complex environments.Moreover,the proposed GNN-DRL-based intelligent optimization framework obtains significantly better performance for resource management in multi-agent JRC systems than traditional methods and pure DRL methods. 展开更多
关键词 Graph neural network joint radar and communication resource allocation multi-agent collaboration
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Mineral resources of Asia continent:Resource endowment,mining industry pattern,and contributions to the world economy 认领 引用 被引量：1
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作者 Xi-feng Chen Gang Wang +2 位作者 Yan-xiong Mei Hai-jie Zhao Yan-yun Ma 《China Geology》 CAS CSCD 2026年第1期1-24,共24页
Mineral resources in Asia continent and its mining industry play a significant role in the economic growth and industrialization of both Asia and the world.Asia continent boasts the most comprehensive kinds of mineral... Mineral resources in Asia continent and its mining industry play a significant role in the economic growth and industrialization of both Asia and the world.Asia continent boasts the most comprehensive kinds of minerals,with reserves of at least 38 of over 80 widely used minerals worldwide accounting for more than30%of the global total reserves.Asia continent experienced three main tectonic evolution and mineralization stages:The Precambrian,the Paleozoic,and the Mesozoic to Cenozoic.The abundant mineral resources in this continent can be divided into seven first-order metallogenic belts(metallogenic domains),18 second-order metallogenic belts(metallogenic provinces),61 third-order metallogenic belts(metallogenic zones),and nine main minerogenetic series.Asia continent exhibits the most significant metallogenic specialization among all continents.Specifically,granite belts of Asia continent manifest pronounced metallogenic specialization of tin,rare metals,and porphyry Cu-Au-Mo deposits.Its maficultramafic rock belts and ophiolite belts display notable metallogenic specialization of lateritic nickel deposits and magmatic type chromite deposits,while its Mesozoic to Cenozoic basalt belts show remarkable metallogenic specialization of lateritic bauxite deposits.Consequently,many giant metallogenic belts were formed,including the Southeast Asian tin belt,the Qinghai-Xizang Plateau rare metal metallogenic belt,the Tethyan porphyry Cu-Au-Mo metallogenic belt,the circum-Pacific porphyry Cu-Au-Mo metallogenic belt,the Southeast Asian lateritic bauxite metallogenic belt,the Deccan Plateau lateritic bauxite metallogenic belt in India,the Southeast Asian lateritic nickel metallogenic belt,and the Tethyan magmatic type chromite metallogenic belt—all of which are significant metallogenic belts in Asia continent.Future mineral exploration in Asia should focus primarily on the Precambrian mineralization of ancient cratons,the Paleozoic mineralization of the Central Asian-Mongolian orogenic belt,and the Mesozoic to Cenozoic mineralization of the Tethyan and circum-Pacific mobile belts.Asia's mining industry not only underpins its own economic growth but also propels global economic development and industrialization,contributing significantly to the world economy.Asia boasts the highest production value of minerals,the largest annual production of minerals,and the greatest trade value of mineral products among all the continents,having emerged as the trade center of global mineral products and the center of the mining industry economy.China is identified as one of the few countries that possess the most comprehensive kinds of minerals,and its mining industry has supported and driven the economic development and industrialization of Asia and even the world.Standing as the largest mineral producer worldwide,China ranked first in the production of 28 mineral commodities in the world in 2022.Besides,China exhibits the highest annual production value of minerals and the largest trade value of mineral products among all countries.Therefore,China's demand for global mineral products influences the global supply and demand patterns of minerals and the world economic situation. 展开更多
关键词 Mineral resource endowment Minerogenetic series Metallogenic specialization Carbonate-type REE deposits Weathering-type REE deposits Hard rock-type lithium deposits Laterite nickel deposits Crystalline graphite deposits Magmatic nickel deposits Significant metallogenic belt Mining industry development pattern Mineral exploration and exploitation World economy Contribution Asia continent
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MWaOA:A Bio-Inspired Metaheuristic Algorithm for Resource Allocation in Internet of Things 认领 引用
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作者 Rekha Phadke Abdul Lateef Haroon Phulara Shaik +3 位作者 Dayanidhi Mohapatra Doaa Sami Khafaga Eman Abdullah Aldakheel N.Sathyanarayana 《Computers, Materials & Continua》 SCIE EI 2026年第2期1285-1310,共26页
Recently,the Internet of Things(IoT)technology has been utilized in a wide range of services and applications which significantly transforms digital ecosystems through seamless interconnectivity between various smart ... Recently,the Internet of Things(IoT)technology has been utilized in a wide range of services and applications which significantly transforms digital ecosystems through seamless interconnectivity between various smart devices.Furthermore,the IoT plays a key role in multiple domains,including industrial automation,smart homes,and intelligent transportation systems.However,an increasing number of connected devices presents significant challenges related to efficient resource allocation and system responsiveness.To address these issue,this research proposes a Modified Walrus Optimization Algorithm(MWaOA)for effective resource management in smart IoT systems.In the proposed MWaOA,a crowding process is incorporated to maintain diversity and avoid premature convergence thereby enhancing the global search capability.During resource allocation,the MWaOA prevents early convergence,which aids in achieving a better balance between the exploration and exploitation phases during optimization.Empirical evaluations show that the MWaOA reduces energy consumption by approximately 4% to 34%and minimizes the response time by 6% to 33% across different service arrival rates.Compared to traditional optimization algorithms,MWaOA reduces energy consumption by 5% to 30%and minimizes the response time by 4% to 28% across different simulation epochs.The proposed MWaOA provides adaptive and robust resource allocation,thereby minimizing transmission cost while considering network constraints and real-time performance parameters. 展开更多
关键词 Delay gateway internet of things resource allocation resource management walrus optimization algorithm
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Planetary pedology:New horizons for lunar resource mapping 认领 引用
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作者 Jérôme JUILLERET Abigail CALZADA-DIAZ +1 位作者 Riccardo SCALENGHE Giacomo CERTINI 《Pedosphere》 SCIE CAS CSCD 2026年第2期381-386,共6页
Space agencies,private organizations,and advocacy groups are working to establish a sustainable human presence on the Moon and Mars in the coming decades,which necessitates in situ resource utilization.Regolith,the mo... Space agencies,private organizations,and advocacy groups are working to establish a sustainable human presence on the Moon and Mars in the coming decades,which necessitates in situ resource utilization.Regolith,the most accessible resource,offers opportunities to extract rare elements and produce high-strength structural materials for habitats.It could also serve as a substrate for food production,functioning similarly to soil on Earth,which is crucial for establishing future extraterrestrial human settlements. 展开更多
关键词 situ resource utilizationregoliththe extract rare elements planetary pedology regolith food productionfunctioning establishing future extraterrestrial human settlement establish sustainable human presence lunar resource mapping
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Evaluation methodology of coal-rock gas resources and exploration potential of favorable areas in onshore China 认领 引用 被引量：1
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作者 LI Guoxin ZHANG Junfeng +7 位作者 ZHAO Qun CHEN Hao CHEN Yanpeng ZHANG Guosheng TIAN Wenguang WANG Meizhu DENG Ze XU Wanglin 《Petroleum Exploration and Development》 SCIE 2025年第6期1389-1406,共18页
Based on new understandings of the whole petroleum system theory for coal measures,and utilizing data from coal-rock gas wells and other oil and gas wells in numerous pilot test areas for key parameter validation,this... Based on new understandings of the whole petroleum system theory for coal measures,and utilizing data from coal-rock gas wells and other oil and gas wells in numerous pilot test areas for key parameter validation,this study conducted a national resource assessment of coal-rock gas widely developed in marine-continental transitional and continental strata in major petroliferous basins like Ordos,Sichuan and Junggar in China.The main achievements and understandings were obtained as follows.(1)A resource evaluation methodology for coal-rock gas was established,incorporating varying geological/data conditions.(2)Key parameter thresholds for deep coal-rock gas resource evaluation were defined,including the upper limits of critical depth(1500,2000,2500 m),lower limit of reservoir thickness(1 m),and lower limits of gas content in medium-low rank and medium-high rank coals(2,10 m3),depending on varying geological conditions across basins.(3)Methods for determining key parameters such as gas content,porosity,and technical recovery factor were developed using the basic data from coal-rock gas experimentsests and logging.(4)Evaluation results indicate that the geological resources of coal-rock gas in the 14 major basins of onshore China amount to 55.11×1012 m3.Resources at depths of 1500-3000,3000-5000,5000-6000 m account for 50.29%,43.11%,6.60%of the total,respectively.Resource classification shows that Class Ⅰ,Ⅱ,and Ⅲ resources constitute 21.80%,32.76%,45.44%,with the Class Ⅰ and Ⅱ technically recoverable resources of approximately 13.23×1012 m3.(5)The Ordos Basin remains the most favorable province,while the Sichuan,Junggar and Tarim basins are the promising targets,for future exploration and development of coal-rock gas in the country.Other basins including Bohai Bay,Qaidam,Tuha,Songliao and Hailar are considered as prospective options.Coal-rock gas production is expected to reach 500×108 m3 annually within the next 10-15 years,positioning it as a major contributor to the natural gas production growth of China and a crucial alternative resource for ensuring the national gas supply. 展开更多
关键词 coal-rock gas deep coal-rock gas primary coal-rock gas secondary coal-rock gas resource evaluation method geological resources technically recoverable resources resource classification and evaluation prospect
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Computing power networks for unmanned aerial vehicles:a hierarchical resources trading market 认领 引用
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作者 Xiaofei Wang Hui Deng +3 位作者 Chao Qiu Zheyuan Chen Tao Luo Zhao Ming 《Digital Communications and Networks》 SCIE EI CSCD 2026年第4期584-593,共10页
Unmanned Aerial Vehicles(UAVs)are increasingly deployed across military and civilian domains due to their operational flexibility,low maintenance costs,and high mobility.With the growing complexity of UAV applications... Unmanned Aerial Vehicles(UAVs)are increasingly deployed across military and civilian domains due to their operational flexibility,low maintenance costs,and high mobility.With the growing complexity of UAV applications and tasks,robust support from computing power networks is essential.These networks,acting as resource integration paradigms,furnish UAVs with pooled resources to tackle extensive computational demands.In this paper,we develop a framework for trading computing power resources,modeling the transaction process through a three-stage Stackelberg game to facilitate sequential decision-making.We theoretically demonstrate the existence of a Nash equilibrium and introduce a Dynamic Game Reinforcement algorithm to identify optimal strategies.Our experimental results affirm the framework's efficacy and the superior performance of our algorithm.Additionally,we explore how variables like UAV quantity and network congestion influence the market dynamics of the computing power network. 展开更多
关键词 UAVs Cloud computing Computing power network Resource trading Stackelberg game
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Review on advances in recycling and utilization of titanium-bearing secondary resources 认领 引用
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作者 Liang-Jin Zhang Yu-Zhu Zhang +6 位作者 Wu Zhu Qian-Qian Ren Lu-Yang Duan Xian-Bo Cai Xing-Hui Zhao Xue-Wei Gu Bao Liu 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第6期236-258,共23页
Titanium is widely regarded as a strategically important metal due to its outstanding properties and broad applications in metallurgy,aerospace,and energy sectors.However,with the gradual depletion of primary titanium... Titanium is widely regarded as a strategically important metal due to its outstanding properties and broad applications in metallurgy,aerospace,and energy sectors.However,with the gradual depletion of primary titanium ores,concerns over long-term supply security are becoming increasingly prominent.At present,less than 20%of titanium-bearing secondary resources are effectively utilized,while the majority are either stockpiled or discarded,resulting in both significant resource loss and environmental challenges.A comprehensive review of six representative titanium-bearing secondary resources,which were either derived from titanium production processes or contain relatively high levels of titanium,was conducted.These resources included titanium-bearing blast furnace slag,titanium-extracted tailings,ferrotitanium slag,titanium gypsum,spent selective catalytic reduction catalysts,and red mud.The chemical and mineralogical characteristics,utilization pathways,and underlying reaction mechanisms were systematically summarized.Particular attention was given to recent advances in extraction technologies for titanium recovery from these materials.From a practical standpoint,classifying and recycling these resources according to their intrinsic physicochemical properties could enable more targeted and efficient recovery strategies.Meanwhile,the development of low-carbon or carbon-neutral extraction technologies,together with environmentally benign leaching processes,remains highly desirable.Additionally,the integration of intelligent management systems for monitoring energy consumption,environmental impact,and economic performance will play a crucial role in advancing the sustainable utilization of titanium-bearing resources. 展开更多
关键词 Titanium Secondary resource Recycling Titanium extraction
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Joint resource and trajectory optimization in a UAV-enabled dual-function radar-communication network 认领 引用
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作者 Haowei Zhang Weijian Liu +3 位作者 Lin Zhang Youwei Meng Tao Song HeXiu Xu 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第6期30-49,共20页
The resource and trajectory optimization problem is critical in joint radar and communication systems,as it mitigates spectrum interference and enhances resource utilization.This paper proposes a joint power and subch... The resource and trajectory optimization problem is critical in joint radar and communication systems,as it mitigates spectrum interference and enhances resource utilization.This paper proposes a joint power and subchannel allocation with trajectory optimization(JPSATO)strategy for a dual-function radar-communication network that tracks multiple targets while serving multiple users.The predicted-conditional Cram er-Rao lower bound(PC-CRLB)in the clutter domain is derived as the tracking performance metric,quantifying the accuracy loss caused by clutter.The optimization model is formulated as minimizing the sum of weighted PC-CRLBs of multiple targets while adhering to the communication data ratio constraint of each user.It is shown that the continuous power allocation,trajectory optimization,and binary subchannel allocation variables are all coupled in the objective function and constraints,resulting in a mixed integer programming problem.In addition,an information reduction factor is embedded in the PC-CRLB to express the clutter effects,and it destroys the convexity of objective function with respect to the power allocation.A four-layer alternating optimization-based method(FLAOM)is designed for this problem-solving.The radar power allocation and communication power allocation are solved using the sequential optimization method,where the nonconvex sub-problem is transformed into a near convex one in each iteration using the first-order Taylor expansion.Then,the subchannel allocation is solved using a greedy search idea.Finally,the trajectory is optimized by the reformulation and the sequential optimization method.Simulation results confirm the effectiveness and efficiency of proposed FLAOM compared with the state-of-the-art methods.It is also shown that the trajectory optimization plays important roles in the considered JPSATO problem. 展开更多
关键词 Dual-function radar-communication Unmanned aerial vehicles Resource allocation Nonconvex optimization
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Research progress of iron extraction from red mud and resource utilization of remaining tailings 认领 引用
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作者 Chao-Gang Zhou Xin-Ze Zhang +7 位作者 Yu Long Da-Chao Qi Dao-Zheng Liu Zhan-Hui Yan Qing Zhao Xu Gao Shu-Huan Wang Wei Gong 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第6期397-416,共20页
Red mud is an alkaline solid waste generated by the alumina industry.Its annual global emissions have exceeded 180 million tons,and its prolonged open storage is prone to causing soil alkalization and air pollution.Re... Red mud is an alkaline solid waste generated by the alumina industry.Its annual global emissions have exceeded 180 million tons,and its prolonged open storage is prone to causing soil alkalization and air pollution.Red mud is considered to be a potential secondary resource given its rich valuable metal content.To realize the efficient resource utilization of red mud and convert solid waste into useful resources as much as possible,related researchers have carried out various studies on the recovery of iron from red mud.The relevant literature in recent years was summarized and analyzed.The research progress of iron resource recovery technology from red mud and the resource utilization of its tailings were also reviewed.In terms of iron recovery technologies,the process principles,technical characteristics,and limitations of these technologies for traditional methods such as physical sorting,pyrometallurgy,and hydrometallurgy,as well as emerging technologies including bioleaching,biomass pyrolysis reduction,and electrochemistry,are highlighted.A comparative analysis of the applicability of various technologies provides theoretical support for the selection of iron recovery processes under different conditions.At the same time,for the characteristics of the tailings produced after iron extraction from red mud,the ways of resource utilization in the fields of building materials and cementitious materials are discussed in depth,so as to realize the efficient utilization of the components of red mud.Finally,based on the research results obtained above and the current problems of red mud resource utilization,the sustainable development direction of red mud resource utilization in the future is prospected. 展开更多
关键词 Red mud Iron recovery Iron extraction tailing Resource utilization
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Water resources and sustainable management in Tajikistan under global change 认领 引用
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作者 CHEN Yaning FANG Gonghuan +5 位作者 LI Zhi ZHANG Xueqi LI Weihong Nekruz GULAHMADOV Farhod NASRULLOEV Aminjon GULAKHMADOV 《Regional Sustainability》 CAS CSCD 2026年第1期1-10,共10页
As a major source of freshwater in Central Asia,Tajikistan is endowed with abundant glaciers and water resources.However,the country faces multiple challenges,including accelerated glacier retreat,complex inter-govern... As a major source of freshwater in Central Asia,Tajikistan is endowed with abundant glaciers and water resources.However,the country faces multiple challenges,including accelerated glacier retreat,complex inter-government water resource management,and inefficient water use.Existing research has predominantly focused on individual hydrological processes,such as glacier retreat,snow cover change,or transboundary water issues,but it has yet to fully capture the overall complexity of water system.Tajikistan’s water system functions as an integrated whole from mountain runoff to downstream supply,but a comprehensive study of its water resource has yet to be conducted.To address this research gap,this study systematically examined the status,challenges,and sustainable management strategies of Tajikistan’s water resources based on a literature review,remote sensing data analysis,and case studies.Despite Tajikistan’s relative abundance of water resources,global warming is accelerating glacier melting and altering the hydrological cycles,which have resulted in unstable runoff patterns and heightened risks of extreme events.In Tajikistan,outdated infrastructure and poor management are primary causes of low water-use efficiency in the agricultural sector,which accounts for 85.00%of the total water withdrawals.At the governance level,Tajikistan faces challenges in balancing the water-energy-food nexus and transboundary water resource issues.To address these issues,this study proposes core paths for Tajikistan to achieve sustainable water resource management,such as accelerating technological innovation,promoting water-saving agricultural technologies,improving water resource utilization efficiency,and establishing a community participation-based comprehensive management framework.Additionally,strengthening cross-border cooperation and improving real-time monitoring systems have been identified as critical steps to advance sustainable water resource utilization and evidence-based decision-making in Tajikistan and across Central Asia. 展开更多
关键词 Climate change Glacial retreat Cross-border cooperation Water resource management Tajikistan Central Asia
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Secure and robust resource allocation for UAV-assisted anti-jamming spectrum sharing under uncertain jamming in airborne maneuvering networks 认领 引用
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作者 Rui DING Haotian QUAN +1 位作者 Zhijie ZENG Fuhui ZHOU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期111-121,共11页
Airborne Maneuvering Network(AMN)has attracted great attention in diverse practical scenarios.Low-altitude maneuvering UAV plays as the operational backbone of AMN to promote the development of an efficient,secure,and... Airborne Maneuvering Network(AMN)has attracted great attention in diverse practical scenarios.Low-altitude maneuvering UAV plays as the operational backbone of AMN to promote the development of an efficient,secure,and low-latency AMN by providing new airborne wireless nerve tracts.However,the widespread adoption of AMNs witnesses a drastic increase of mobile users and data-intensive applications,which makes it suffer from the intense spectrum competition.Spectrum sharing shows promise in alleviating the severe spectrum scarcity of AMNs.Moreover,due to the broadcast nature of wireless channels and the increasing probability of the line-of-sight transmission,the AMN is vulnerable to malicious jamming,especially encountering the coupled uncertainty and dynamic jamming.To solve these problems,UAV-assisted antijamming spectrum sharing in AMNs is investigated.We propose a joint space-power-frequency domain optimization approach to simultaneously mitigate both external malicious jamming and internal sharing interference.The sum rate maximization of the secondary network is studied by jointly optimizing the UAV transmit power,sub-band allocation,and trajectory.To tackle the formulated intractable non-convex problem,we propose a computationally efficient iterative algorithm based on alternating optimization,integrating the S-procedure to handle bounded uncertainties and the successive convex approximation to obtain near-optimal convex solutions.Extensive simulation results show that our proposed scheme can significantly increase the sum transmission rate.Moreover,it is shown that our proposed scheme is the best robust among all benchmark schemes against jammer location and power uncertainties,confirming the practicality for the next-generation UAV based airborne networks. 展开更多
关键词 Airborne maneuvering networks Anti-jamming Resource allocation Spectrum management UAV communication
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Improving manual cardiopulmonary resuscitation quality in resource-limited settings:an overlooked yet crucial challenge before advanced interventions 认领 引用
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作者 Longfei Pan Honghong Pei +14 位作者 Zhengliang Zhang Jie Liu Yu Shi Hai Wang Xin Hong Yang Zhou Changwei Ke Yang Zhao Junhua Lyu Junjie Liang Jinming Huang Xiaokun Xi Xiaodu Li Jingjing Zhang Kai Liu 《World Journal of Emergency Medicine》 SCIE CAS CSCD 2026年第2期184-186,共3页
The quality of cardiopulmonary resuscitation(CPR) significantly influences survival and neurological outcomes in patients with cardiac arrest(CA).Although mechanical chest compression devices and extracorporeal cardio... The quality of cardiopulmonary resuscitation(CPR) significantly influences survival and neurological outcomes in patients with cardiac arrest(CA).Although mechanical chest compression devices and extracorporeal cardiopulmonary resuscitation(ECPR) have demonstrated some benefits,high-quality manual CPR remained the essential first step,particularly in resource-limited settings.In this study,we examined whether opportunities existed to improve manual CPR performance using preliminary data from our recent survey conducted in a province in western China.We aim to emphasize the importance of improving manual CPR quality before implementing advanced interventions. 展开更多
关键词 preliminary data cardiac arrest cardiopulmonary resuscitation cpr survival outcomes mechanical chest compression devices extracorporeal cardiopulmonary resuscitation ecpr cardiopulmonary resuscitation resource limited settings
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Fair game:urban free-ranging dogs balance resource use and risk aversion at seasonal fairs 认领 引用
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作者 Sourabh Biswas Kalyan Ghosh +1 位作者 Hindolii Gope Anindita Bhadra 《Current Zoology》 SCIE CAS CSCD 2026年第1期116-126,共11页
Seasonal fairs,bustling with human activity,provide a unique environment for exploring the interplay between humans and free-ranging dogs in a human-dominated habitat.Across 14 fair sites in West Bengal,India,we explo... Seasonal fairs,bustling with human activity,provide a unique environment for exploring the interplay between humans and free-ranging dogs in a human-dominated habitat.Across 14 fair sites in West Bengal,India,we explored how human footfall and resource availability impact dog distribution and behavior.These fairs are typically held in open grounds during the winter and spring seasons,so data collection occurred from December to March,in two phases.Three randomly selected days during the fair were used for sampling in three sessions per day.Employing spot census,scan sampling and video recording,observers documented GPS locations,sex,and instantaneous behaviors of FRDs.There was a notable increase in human flux during the middle phase of the fair on a day,while dog abundance increased during the end phase.Dogs predominantly foraged,exhibited gait,and remained vigilant,their numbers were positively associated with resource availability.Proximity of territories to the fairground significantly shaped dog behavior;dogs closer to the fair demonstrated the consistency of presence,implying efficient resource utilization.Conversely,dogs from farther distances exhibited lower consistency and a“grab-and-go”strategy,suggesting cognitive adaptations to resource scarcity and competition.These findings lend support to the Resource Dispersion Hypothesis and underscore the intricate relationship between human activity,resource availability,and the behavior and cognition of FRDs during seasonal fairs.They offer insights into the ecological dynamics of FRDs in human-dominated landscapes,emphasizing the necessity for comprehensive management strategies in urban and peri-urban environments. 展开更多
关键词 anthropogenic landscapes behavioral dynamics cognitive mechanisms free-ranging dogs resource dispersion hypothesis seasonal fairs
Heterogeneous resource allocation with latency guarantee for computing power network 认领 引用
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作者 Ailing Zhong Dapeng Wu +1 位作者 Boran Yang Ruyan Wang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期25-37,共13页
Computing Power Network(CPN)is a new paradigm that integrates communication,computing,and storage resources to provide services for tasks.However,tasks composed of non-independent subtasks have a preference for the re... Computing Power Network(CPN)is a new paradigm that integrates communication,computing,and storage resources to provide services for tasks.However,tasks composed of non-independent subtasks have a preference for the resources required at each stage,which increases the difficulty of heterogeneous resource allocation and reduces the latency performance of CPN services.Motivated by this,this paper jointly optimizes the full-service cycle of tasks,including transmission,task partitioning,and offloading.First,the transmission bandwidth is dynamically configured based on delay sensitivity of tasks.Second,with the real-time information from edge resource clusters and state resource clusters in the network,the optimal partitioning for a computation task is derived.Third,personalized resource allocation schemes are customized for computation and storage tasks respectively.Finally,the impact of resource parameter configuration on the latency violation probability of CPN is revealed.Moreover,compared with the benchmark schemes,our proposed scheme reduces the network latency violation probability by up to 1.17×in the same network setting. 展开更多
关键词 Latency violation probability Subtask dependencies Resource allocation Computing power network
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Optimal competitive resource assignment in two-stage Colonel Blotto game with Lanchester-type attrition 认领 引用
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作者 YUAN Weilin CHEN Shaofei +4 位作者 HU Zhenzhen JI Xiang LU Lina SU Xiaolong CHEN Jing 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第1期242-256,共15页
In strategic decision-making tasks,determining how to assign limited costly resource towards the defender and the attacker is a central problem.However,it is hard for pre-allocated resource assignment to adapt to dyna... In strategic decision-making tasks,determining how to assign limited costly resource towards the defender and the attacker is a central problem.However,it is hard for pre-allocated resource assignment to adapt to dynamic fighting scenarios,and exists situations where the scenario and rule of the Colonel Blotto(CB)game are too restrictive in real world.To address these issues,a support stage is added as supplementary for pre-allocated results,in which a novel two-stage competitive resource assignment problem is formulated based on CB game and stochastic Lanchester equation(SLE).Further,the force attrition in these two stages is formulated as a stochastic progress to consider the complex fighting progress,including the case that the player with fewer resources defeats the player with more resources and wins the battlefield.For solving this two-stage resource assignment problem,nested solving and no-regret learning are proposed to search the optimal resource assignment strategies.Numerical experiments are taken to analyze the effectiveness of the proposed model and study the assignment strategies in various cases. 展开更多
关键词 resource assignment Colonel Blotto(CB)game stochastic Lanchester equation(SLE) regret match
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Impact of resource allocation on information-disease coupled propagation considering node importance in multiplex networks 认领 引用
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作者 Liang’an Huo Jiaxue Cha Yue Yu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期901-913,共13页
During a large-scale epidemic outbreak,effective resource allocation is vital for controlling disease transmission.Prioritizing resource provision to communities experiencing severe infections can mitigate further spr... During a large-scale epidemic outbreak,effective resource allocation is vital for controlling disease transmission.Prioritizing resource provision to communities experiencing severe infections can mitigate further spread,while prioritizing information dissemination to influential individuals can expand the publicity effect.This paper proposes a novel two-layer information-disease transmission coupled model that optimizes the allocation of information and medical resources based on node importance analysis,aiming to explore the synergistic effects of resource allocation on disease dynamics.The study employs the microscopic Markov chain approach to construct dynamic equations and derive the epidemic threshold,with Monte Carlo simulations used to validate the theoretical results.Findings demonstrate that expanding the scope of preventive information dissemination through mass media improves public awareness of disease prevention and significantly curbs epidemic transmission.Moreover,reducing the resource deployment threshold in infected communities enables more precise resource allocation during the early stages of an outbreak,which is vital for increasing the epidemic threshold and reducing the final size of the epidemic.These findings provide robust theoretical foundations and actionable guidelines for optimizing resource allocation strategies in public health emergency management. 展开更多
关键词 information dissemination disease transmission resource allocation node importance multilayer network
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Multi-Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks 认领 引用
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作者 Jianhui Lv Byung-Gyu Kim +1 位作者 Keqin Li Heng Lu 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2026年第2期316-331,共16页
This paper presents HealthNet,a novel framework for the dynamic optimisation of healthcare transportation networks using multi-agent reinforcement learning.HealthNet leverages a spatiotemporal dependency module to cap... This paper presents HealthNet,a novel framework for the dynamic optimisation of healthcare transportation networks using multi-agent reinforcement learning.HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns,combined with centralised training and a decentralised execution approach.The system is modelled as a Markov game and solved using a deep reinforcement learning algorithm.Extensive simulations demonstrate that HealthNet outperforms eight state-of-the-art baseline methods across multiple network configurations and evaluation metrics.In a 4×4 grid network,HealthNet reduces average waiting times by 47.6%compared to model predictive control and 22.1%compared to the best-performing baseline.Traffic congestion rates are reduced to 16.7%compared to 42.3%for the worst baseline and 23.1%for the best baseline.Under irregular network topologies with stochastic disruptions,including demand surges and vehicle unavailability,HealthNet maintains superior performance with 42.1%lower average waiting time and 51.1%improvement in peak response times compared to competing approaches.These findings indicate that HealthNet can enhance both efficiency and resilience in healthcare transportation systems,potentially improving patient outcomes in complex urban environments. 展开更多
关键词 dynamic resource optimisation healthcare transportation networks reinforcement learning spatiotemporal dependency sustainable cities
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