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| 1 | Boundary-processing-technique in EMD method and Hilbert transform显示文摘By virtue of neural network, a series of signals is extended forward and backward, as a result, two additional maxima and two additional minima are obtained at both ends of the original data set, with which the EMD decomposition can be exactly achieved with cubic spline interpolation. Meanwhile, by using of neural network every IMF component can also be extended forward and backward, which effectively restrains the end effect, thus the veracious Hilbert spectra are achieved. Verifications of the sample signals and the actual surface elevation of sea waves show that the present extension method is relatively accurate. | DENG Yongjun, WANG Wei, QIAN Chengchun, WANG Zhong & DAI DejunNetwork Center, Ocean University of Qingdao. Qingdao 266003, China Physical Oceanography Laboratory, Ocean Universily of Qingdao, Qingdao 266003, China | 2001 | Chinese Science Bulletin2001，46，11： | 91 |
| 2 | Why are social network transactions important? Evidence based on the concentration of key suppliers and customers in China显示文摘Based on a new institutional economy framework,this study examines the formation and economic consequences of social networks(guanxi)from the perspective of key suppliers and customers in China.Results show that commercial activities which depend on networks are determined by the institutional environment.For example,companies that have lower accumulated social capital(less trust among people)and are subject to more government invention depend more on social network transactions than on the market.In addition,this study shows that network transactions can provide benefits to firms,especially in weak institutional environments.Networks can reduce transaction costs by reducing information asymmetry,i.e.,increased network dependence is associated with lower credit costs and lower advertising and sales costs.Networks can also reduce the effect of industry shocks,especially negative shocks,by creating a bonding mechanism.This study contributes to our understanding of social networks in emerging markets by providing evidence on network transactions with key suppliers and customers and their influence on firms'accounting behavior. | Xiang Kong | 2011 | China Journal of Accounting Research2011，，3： | 46 |
| 3 | Linking atmospheric pollution to cryospheric change in the Third Pole region: current progress and future prospects显示文摘The Tibetan Plateau and its surroundings are known as the Third Pole(TP). This region is noted for its high rates of glacier melt and the associated hydrological shifts that affect water supplies in Asia. Atmospheric pollutants contribute to climatic and cryospheric changes through their effects on solar radiation and the albedos of snow and ice surfaces; moreover, the behavior and fates within the cryosphere and environmental impacts of environmental pollutants are topics of increasing concern. In this review, we introduce a coordinated monitoring and research framework and network to link atmospheric pollution and cryospheric changes(APCC) within the TP region. We then provide an up-to-date summary of progress and achievements related to the APCC research framework, including aspects of atmospheric pollution’s composition and concentration, spatial and temporal variations, trans-boundary transport pathways and mechanisms, and effects on the warming of atmosphere and changing in Indian monsoon, as well as melting of glacier and snow cover. We highlight that exogenous air pollutants can enter into the TP’s environments and cause great impacts on regional climatic and environmental changes. At last, we propose future research priorities and map out an extended program at the global scale. The ongoing monitoring activities and research facilitate comprehensive studies of atmosphere–cryosphere interactions, represent one of China’s key research expeditions to the TP and the polar regions and contribute to the global perspective of earth system science. | Shichang Kang Qianggong Zhang Yun Qian Zhenming Ji Chaoliu Li Zhiyuan Cong Yulan Zhang Junming Guo Wentao Du Jie Huang Qinglong You Arnico K.Panday Maheswar Rupakheti Deliang Chen Orjan Gustafsson Mark H.Thiemens Dahe Qin | 2019 | National Science Review2019，6，4： | 35 |
| 4 | New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle显示文摘Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and hazardous,is very promising for the technological leadership of the nation and essential for improving the security of society.On the basis of introduction of bioinspired intelligence and UCAV,a series of new development thoughts on UCAV control are proposed,including artificial brain based high-level autonomous control for UCAV,swarm intelligence based cooperative control for multiple UCAVs,hy-brid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV,and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles(UCGVs).The exact realization of the proposed new development thoughts can enhance the effectiveness of combat,while provide a series of novel breakthroughs for the intelligence,integration and advancement of future UCAV systems. | DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 State Key Laboratory of Science and Technology on Holistic Flight Control,School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China 2 Flight Control Department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China 3 Beijing Institute of Near Space Vehicle’s System Engineering,Beijing 100076,China 4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China | 2010 | Science China(Technological Sciences)2010，53，8： | 32 |
| 5 | Differential areas for differential stations (DADS): A new method of establishing grid ionospheric model显示文摘Differential Area for Differential Stations (DADS), a new method of establishing grid ionospheric model, is presented. The preliminary results show that it is possible to establish a real time large range high precision grid ionospheric model (GIM) using the DADS and the GPS data of the Chinese crust movement observation network (CCMON). | Yuan, YB Ou, JK | 2002 | Chinese Science Bulletin2002，47，12： | 32 |
| 6 | 谣言实现的社会机制及对信息的治理显示文摘Rumors are a type of false information, a consequence of an asymmetrical informational structure. This paper focuses on the social mechanisms of rumor fulfilling. Rumors with important contents related to people’s personal interests win acceptance through changing people’s expected payoffs, misleading people to the belief that acceptance of the rumor would beneficially outperform rejection of it. Nevertheless, it is risky to believe rumors; therefore, people make their decision whether to believe a rumor or not by referring to other people’s choices. An analysis was performed first within a game model that incorporated the variables of an individual’s expectancy and other people’s impact to predict whether the individual would accept or reject a rumor. Another analysis followed to further examine the functions of some dynamic mechanisms in rumor fulfilling when group pressure and network effects were introduced. Finally, an exploratory discussion on how to prevent rumors and erase their effects via information management strategies was presented. | 李国武 | 2005 | 社会2005，25，4： | 31 |
| 7 | 基于RBFN模型的贵州省石漠化危险度评价显示文摘西南喀斯特山区石漠化已成为当地发展的重大障碍,国内诸多学者对此做了大量研究工作。本文在前人研究成果的基础上,选取影响喀斯特石漠化演化的相关指标,运用GIS技术提取各指标数据,建立RBFN模型(RadialBasisFunctionNetwork,径向基函数网络模型),根据不同石漠化危险程度标准,选取12个市县相关数据进行训练,确定网络模型参数,进而对贵州省82个市、县(自治州)的喀斯特石漠化危险度进行了评价,结果显示:贵州省西南部的西南—东北沿线为喀斯特石漠化发生的极强危险区、整个西南部为强危险区,北部地区为中度危险区,而东南部地区为轻度危险区,并利用他人研究成果进行了对比验证,发现结果较为理想。 | 黄秋昊 蔡运龙 | 2005 | 地理学报2005，60，5： | 33 |
| 8 | Convolutional neural networks for time series classification显示文摘Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging problem due to the nature of time series data: high dimensionality,large in data size and updating continuously. The deep learning techniques are explored to improve the performance of traditional feature-based approaches. Specifically, a novel convolutional neural network(CNN) framework is proposed for time series classification. Different from other feature-based classification approaches,CNN can discover and extract the suitable internal structure to generate deep features of the input time series automatically by using convolution and pooling operations. Two groups of experiments are conducted on simulated data sets and eight groups of experiments are conducted on real-world data sets from different application domains. The final experimental results show that the proposed method outperforms state-of-the-art methods for time series classification in terms of the classification accuracy and noise tolerance. | Bendong Zhao Huanzhang Lu Shangfeng Chen Junliang Liu Dongya Wu | 2017 | Journal of Systems Engineering and Electronics2017，28，1： | 33 |
| 9 | Image segmentation of embryonic plant cell using pulse-coupled neural networks显示文摘Traditional image segmentation algorithms exhibit weak performance for plant cells which have complex structure. On the other hand, pulse-coupled neural network (PCNN) based on Eckhorn’s model of the cat visual cortex should be suitable to the segmentation of plant cell image. But the present theories cannot explain the relationship between the parameters of PCNN mathematical model and the effect of segmentation. Satisfactory results usually require time-consuming selection of experimental parameters. Mean-while, in a proper, selected parametric model, the number of iteration determines the segmented effect evaluated by visual judgment, which decreases the efficiency of image segmentation. To avoid these flaws, this note proposes a new PCNN algorithm for automatically segmenting plant embryonic cell image based on the maximum entropy principle. The algorithm produces a desirable result. In addition, a model with proper parameters can automatically determine the number of iteration, avoid visual judgment, | MA Yide DAI Rolan LI Lian WEI Lin | 2002 | Chinese Science Bulletin2002，47，2： | 28 |
| 10 | CM-MAC:一种基于分簇的多信道车载网MAC协议显示文摘车载网VANET是一种应用于智能交通系统的新型无线移动自组织网络(mobile ad hoc network,MANET).随着车辆以及移动ad hoc网络技术的发展,车载网已经成为一个新兴的研究领域.针对VANET中车辆行驶的特征,提出一种拓扑相对稳定的车辆分簇算法.在此算法基础上,根据专用短程通信(dedicated short range communication,DSRC)标准中控制信道(control channel,CCH)和服务信道(service channel,SCH)的分配,考虑车辆间的无线通信干扰和不同应用的QoS需求,提出一种基于分簇的多信道混合型MAC协议,簇内通信采用非竞争的TDMA机制,簇间通信采用基于竞争的CSMA?CA机制,相邻簇采用不同的服务信道.模拟实验表明,提出的MAC协议在同时满足实时应用的延迟需求和非实时应用的吞吐量方面,优于现有协议. | 何鹏 阎保平 李志 孙利民 | 2014 | 计算机研究与发展2014，51，3： | 27 |
| 11 | 产学研融合下的科技创新与经济发展显示文摘本文通过构建两阶段Network DEA模型,从产学研融合视角对我国科技创新与经济发展的关系进行经验分析。研究表明,科技创新对地区经济发展的推动作用整体水平不高且存在明显的地区差异,各地区之间、各地区内部的差异主要体现在科技成果的转化上,科技成果转化的基础设施水平较低是各地区亟待突破的瓶颈。科技创新对经济发展的推动作用从形式上看受制于地区条件,从内容上看受制于科技成果推动地区经济发展效率的低下。通过构建能够保障科技资源和科技成果的区域互联互通平台,可以调剂各省份科技资源的余缺,实现国家层面整体科技资源的整合和配置,提升科技资源配置效率。 | 李明 李鹏 | 2017 | 财经问题研究2017，，1： | 26 |
| 12 | Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing显示文摘The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers located at the edge of the cellular networks, has been considered as an efficient approach to relieve the heavy computational burdens and realize an efficient computation offloading. Driven by the consequent requirement for proper resource allocations for computation offloading via MEC, in this paper, we propose a Deep-Q Network (DQN) based task offloading and resource allocation algorithm for the MEC. Specifically, we consider a MEC system in which every mobile terminal has multiple tasks offloaded to the edge server and design a joint task offloading decision and bandwidth allocation optimization to minimize the overall offloading cost in terms of energy cost, computation cost, and delay cost. Although the proposed optimization problem is a mixed integer nonlinear programming in nature, we exploit an emerging DQN technique to solve it. Extensive numerical results show that our proposed DQN-based approach can achieve the near-optimal performance。 | Liang Huang Xu Feng Cheng Zhang Liping Qian Yuan Wu | 2019 | Digital Communications and Networks2019，5，1： | 25 |
| 13 | Review on the Technological Development and Application of UAV Systems显示文摘Unmanned aerial vehicles(UAVs) are products of deep integration of aviation technology and Information technology(IT). The core factor of why the UAV industry can become a relatively independent industry and experience rapid development is the full penetration of IT into the aviation industry. Under the networked environment, UAVs are now becoming datadriven mobile agents. With the development of information technology, information transmission networking, operation space digitizing, and flight platform intelligentizing will become the main trends of technological development of UAV systems. The application of UAV systems is not merely a paradigm in transportation, but will more importantly produce 'UAV+' novel production modes,service formats, and combat modes associated with UAVs.These emerging trends will have profound impacts on future economic and social development as well as the building of armed forces. | FAN Bangkui LI Yun ZHANG Ruiyu FU Qiqi | 2020 | Chinese Journal of Electronics2020，29，2： | 26 |
| 14 | 基于ZigBee无线传感器网络的农业环境监测系统研究与设计显示文摘针对目前农业环境在线监测的需要,提出了一种基于ZigBee无线传感器网络的农业环境监测系统设计方案,该监测系统由无线监测网络和远程监控中心组成,可对影响作物生长的温度、湿度、光照等环境变量进行实时监测。介绍了系统的总体架构,设计开发了无线传感器网络节点、基站以及软件流程。由于采用了无线传输方式,该系统解决了有线通信方式存在的难以扩展、难以升级等问题,具有低功耗、低成本、扩展灵活等优点,其应用前景非常广阔。 | 蔡镔 毕庆生 李福超 王栋 杨英 袁超 | 2010 | 江西农业学报2010，22，11： | 24 |
| 15 | Permeability analysis of fractured vuggy porous media based on homogenization theory显示文摘Based on the characteristics of fractured vuggy porous media,a novel mathematical model was proposed to model fluid flow in such media on fine scale,i.e.,the discrete fracture-vug network model.The new model consists of three systems:porous rock system,fracture system,and vug system.The fractures and vugs are embedded in porous rock,and the isolated vugs could be connected via the discrete fracture network.The flow in porous rock and fractures follows Darcy's law,and the vugs system is free fluid region.Using a two-scale homogenization limit theory,we obtained a macroscopic Darcy's law governing the media on coarse scale.The theoretical formula of the equivalent permeability of the fractured vuggy porous media was derived.The model and method of this paper were verified by some numerical examples.At the end the permeability of some fractured vuggy porous media with typical fracture-vug structures was analyzed. | HUANG ZhaoQin,YAO Jun,LI YaJun,WANG ChenChen&LüXinRui College of Petroleum Engineering,China University of Petroleum,Qingdao 266555,China | 2010 | Science China(Technological Sciences)2010，53，3： | 22 |
| 16 | 无线传感器网络在农业生产中的应用研究显示文摘无线传感器网络已经成为科学研究领域最前沿的课题之一,因其巨大的应用前景而备受关注。该文综述了无线传感器网络的体系结构、节点构成和特点,介绍了其在农业领域中的应用及最新研究进展。 | 蔡镔 袁超 顿文涛 马斌强 李聪 李辉 | 2010 | 江西农业学报2010，22，9： | 23 |
| 17 | 生精类中成药治疗男性少、弱精子症的Network Meta分析和系统评价显示文摘目的:利用Network Meta分析观察生精类中成药治疗男性少、弱精子症的疗效。方法:检索Cochrane图书馆、Pubmed数据库、中国生物医学文献数据库、CNKI数据库、VIP数据库、万方数据库等,纳入生精类中成药治疗少、弱精子症的随机对照试验(RCT)研究,并进行方法学质量评价。采用ADDIS软件v1.16.5进行统计学分析,对纳入的RCT的研究结果进行合并,并进行偏倚评估和稳定性分析。结果:共纳入20篇RCT文献,累计病例2 947例,包括8种干预措施(生精胶囊、麒麟丸、养精胶囊、黄精赞育胶囊、复方玄驹胶囊、生精片、四子种王胶囊和五子衍宗丸)。Network Meta分析显示8种生精类中成药在两两比较改善和提高精子参数总有效率、a级精子率、a+b级精子率和精子浓度方面,除四子种王胶囊对五子衍宗丸在a级精子和精子浓度之间有统计学差异之外,其余各药之间对比差异则无统计学意义(P>0.05)。结论:基于贝叶斯理论的Network Meta分析对8种干预措施进行疗效排序显示,虽然8种生精类中成药在治疗男性少、弱精子症方面对改善和提高精子参数各自具有独特的优势,但需要在辨病、辨证的基础上灵活组合搭配使用,并通过大数据、高质量、多中心的随机对照双盲临床试验进一步加以验证。 | 安琪 邹练 | 2016 | 生殖与避孕2016，36，1： | 23 |
| 18 | Genetic Contribution of Paleopolyploidy to Adaptive Evolution in Angiosperms显示文摘Ancient whole-genome duplications (WGDs or polyploidy) are prevalent in plants, and some WGDs occurred during the timing of severe global environmental changes. It has been suggested that WGDs may have contributed to plant adaptation. However, this still lacks empirical evidence at the genetic level to support the hypothesis. Here, we investigated the survivors of gene duplicates from multiple ancient WGD events on the major branches of angiosperm phylogeny, and aimed to explore genetic evidence supporting the significance of polyploidy. Duplicated genes co-retained from three waves of independent WGDs (~120 million years ago [Ma], ~66, and <20 Ma) were investigated in 25 selected species. Gene families functioning in low temperature and darkness were commonly retained gene duplicates after the eight independently occurring WGDs in many lineages around the Cretaceous-Paleocene boundary, when the global cooling and darkness were the two main stresses. Moreover, the commonly retained duplicates could be key factors which may have contributed to the robustness of the critical stress-related pathways. In addition, genome-wide transcription factors (TFs) functioning in stresses tend to retain duplicates after waves of WGDs, and the coselected gene duplicates in many lineages may play critical roles during severe environmental stresses. Collectively, these results shed new light on the significant contribution of paleopolyploidy to plant adaptation during global environmental changes in the evolutionary history of angiosperms. | Shengdan Wu Baocai Han Yuannian Jiao | 2020 | Molecular Plant2020，13，1： | 21 |
| 19 | Data mining in Xu Runsan’s Traditional Chinese Medicine practice:treatment of chronic pelvic pain caused by pelvic inflammatory disease显示文摘OBJECTIVE:To research the Traditional Chinese Medicine(TCM)practice of Professor Xu Runsan for treatment of chronic pelvic pain(CPP)caused by sequelae of pelvic inflammatory disease(SPID)by data mining.METHODS:The medical records of inpatients at China-Japan Friendship Hospital confirmed to have CPP caused by SPID were collected(274 visits in total).The data extracted from the medical records were analyzed by frequency statistics,correlation analyses,cluster analyses,and complex network analyses.RESULTS:The most frequently used medicines were warm medicines,bitter medicines,and medicines distributed to the liver meridian.The most common medicinal combinations were Chishao(Radix Paeoniae Rubra)plus Huangqi(Radix Astragali Mongolici)plus Sanqi(Radix Notoginseng)and Ezhu(Rhizoma Curcumae Phaeocoulis);Guizhi(Ramulus Cinnamomi)plus Fuling(Poria)and Chishao(Radix Poeoniae Rubra);and Chaihu(Radix Bupleuri Chinensis)plus Zhishi(Fructus Aurantii Immaturus)and Gancao(Radix Glycyrrhizae).The most frequently used medicines were divided into four groups according to their efficacy;i.e.,medicines that could(a)warm meridians and free collateral vessels,(b)regulate Qi and free collateral vessels,(c)fortify the spleen and nourish blood and Qi,and(d)tonify Qi and activate blood.The most commonly used formulations were Guizhi FulingPill and Sini Powder.The core medicines extracted based on complex network analyses were Chishao(Radix Poeoniae Rubra),Sanqi(Radix Notoginseng),Hua ngqi(Radix Astragali Mongolica),Danshen(Radix Salviae Miltiorrhizae),Ezhu(Rhizoma Curcumae Phaeocaulis), Gancao(Radix Glycyrrhizae),Chaihu(Radix Bupleuri Chinensis),Guizhi(Romulus Cinnomomi),Shuizhi(Hirudo), Fuling(Poria),and Zhishi(Fructus Aurantii Immaturus).CONCLUSION:According to the TCM practice of Professor Xui,treatment of CPP caused by SPID should focus on dissolving stasis and obstructions using medicines that can activate blood,resolve stasis,regulate Qi,and dissipate adhesions.His prescriptions are often based on Guizhi Fuling Pill and Sini Powder.More blood-activating,stasis-resolving,or tonifying medicines could be used according to the accompanying symptoms or symptom patterns identified. | Liu Liuqing Yang Fang Xin Ling Jing Yan | 2019 | Journal of Traditional Chinese Medicine2019，39，3： | 20 |
| 20 | Machine learning methods for rockburst prediction-state-of-the-art review显示文摘One of the most serious mining disasters in underground mines is rockburst phenomena.They can lead to injuries and even fatalities as well as damage to underground openings and mining equipment.This has forced many researchers to investigate alternative methods to predict the potential for rockburst occurrence.However,due to the highly complex relation between geological,mechanical and geometric parameters of the mining environment,the traditional mechanics-based prediction methods do not always yield precise results.With the emergence of machine learning methods,a breakthrough in the prediction of rockburst occurrence has become possible in recent years.This paper presents a state-ofthe-art review of various applications of machine learning methods for the prediction of rockburst potential.First,existing rockburst prediction methods are introduced,and the limitations of such methods are highlighted.A brief overview of typical machine learning methods and their main features as predictive tools is then presented.The current applications of machine learning models in rockburst prediction are surveyed,with related mechanisms,technical details and performance analysis. | Yuanyuan Pu Derek B.Apel Victor Liu Hani Mitri | 2019 | International Journal of Mining Science and Technology2019，29，4： | 19 |
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