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Search Results: 1 - 10 of 62494 matches for " HU Jian-fei "
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Study on Chinese Rural Drinking Water Option and Its Pricing  [PDF]
Jian-Fei Leng, Lu Li
Journal of Financial Risk Management (JFRM) , 2012, DOI: 10.4236/jfrm.2012.14010
Abstract: The problems of Chinese rural drinking water have existed for a long time and are deteriorating. Determining the price of rural drinking water is beneficial for solving these problems to some extent. Therefore, this article makes appropriate study on rural drinking water option and its pricing model. Based on the theories of options and water option, we make description on the connotation of rural drinking water option and its trading principle as well as main entities. In addition, on the basis of traditional Black-Scholes option pricing model and the actual situation of rural drinking water, we construct rural drinking water option pricing model from different aspects. With the guiding price of rural drinking water option, it can realize the optimum allocation of rural drinking water resource on the market.
Implicitness-to-explicitness translation in English translation of traditional Chinese medicine
Jian-fei ZHU
Zhong Xi Yi Jie He Xue Bao , 2008,
Abstract:
Research on the Establishment of Chinese Rural Drinking Water Market  [PDF]
Jian-Fei Leng, Yi-Ran Ding
American Journal of Industrial and Business Management (AJIBM) , 2013, DOI: 10.4236/ajibm.2013.31001
Abstract:


The aim of this paper is to research the establishment of Chinese rural drinking water market. On the basis of prior research on rural drinking water and water market, we study the market establishment and analyze trading elements, procedure and modes of Chinese rural drinking water market. Then we explore the operating mechanism of the market, such as the supply and demand mechanism, the price mechanism, the competition mechanism and the support mechanism. This study will conduce to the optimization of the allocation of water resources.


Case Analysis of the ZC Company’s AS Power Project Investment Decision-Making  [PDF]
Jian-Fei Leng, Qun Zhang, Xiang-Nan Wang
American Journal of Industrial and Business Management (AJIBM) , 2015, DOI: 10.4236/ajibm.2015.511064
Abstract: First, combined with relevant theories of modern investment decision-making, this paper took AS power engineering project of ZC Company for instance, analyzed objective function of power engineering investment structure in ZC Company. Second, this paper analyzed investment decision-making structure of AS power engineering project in ZC Company, and obtained specific results of investment decision-making, and the related results were verified. Through analysis and exploration, this paper has a scientific impact on ZC Company for the AS power project investment, while it’s hoped that it can play a role in electric power engineering projects of other companies in China. So it can better promote the development of electrical engineering investment in electrical industry.
A Novel Experimental Method of Hopkinson Pressure Bar System for Brittle Material
用于脆性材料的Hopkinson压杆动态实验新方法

LIU Jian-fei,HU Shi-sheng,WANG Daorong,
刘剑飞
,胡时胜

实验力学 , 2001,
Abstract: Because of the too small damage strain of brittle materials such as rock, ceramic or concrete, the specimen always breaks during the initial rising slope or oscillatory part of loading waves, and this makes it impossible to obtain their absolute properties under high stain rate by conventional Hopkinson pressure bar technique. An novel experimental method, pre-gap method, presented here can make the incident wave have no initial rising slope and less oscillation, which can diminish the errors effectively in test results caused by wave dispersion. In addition, this method can also make the strain rate history even more constant, as the specimen avoids being compressed under the unstable rising slope of loading waves. Therefore, this pre-gap method can not only improve the accuracy of test results, but also afford a special and feasible way to perform high strain rate tests on brittle materials by Hopkinson pressure bar.
Adaptive robust controller of mobile satellite antenna systems
移动卫星天线的自适应鲁棒控制系统

LI Guo,HU Jian-fei,YU Da-tai,
李果
,胡剑飞,余达太

控制理论与应用 , 2007,
Abstract: The use of the adaptive robust controller for improving control performance and stability of mobile satellite antenna systems is investigated in this paper.An adaptive robust control system of mobile satellite antennas is presented. The adaptive robust controller is designed according to the mobile satellite antenna systems model.The proposed adaptive controller and the corresponding robust adaptive law not only keep the closed-loop system robustly stable,but also provide the expected performance.Finally,the effectiveness of the algorithm is verified by experimental results,demonstrating that the control performance and stability of mobile satellite antenna systems are improved,and the control system maintains satisfactory control performance despite the change of road surface condition.
Research on multiple faults diagnosis method based on case reasoning
基于案例推理的多故障诊断方法研究*

LU Yang,GAN Zhi-hu,WANG Jian-fei,
路杨
,甘志华,王剑斐

计算机应用研究 , 2009,
Abstract: 在分析多故障模式特点的基础上,建立了面向多故障的案例知识库,并提出了一种基于二次检索策略的多故障诊断方法。采用基于权重隶属度的候选案例生成方法对案例库进行初步检索,有效地减少了候选案例的数量;通过灰色关联分析对案例相似度进行计算,获得最有可能发生的故障案例,避免了多故障组合爆炸所带来的大计算量问题。最后通过实例对所提出的方法进行了说明。
Autoantibodies as potential biomarkers for breast cancer
Li Zhong, Kun Ge, Jin-chi Zu, Long-hua Zhao, Wei-ke Shen, Jian-fei Wang, Xiao-gang Zhang, Xu Gao, Wanping Hu, Yun Yen, Kemp H Kernstine
Breast Cancer Research , 2008, DOI: 10.1186/bcr2091
Abstract: In the present study, we interrogated a breast cancer cDNA T7 phage library for tumor-associated proteins using biopan enrichment techniques with sera from normal individuals and from breast cancer patients. The enrichment of tumor-associated proteins after biopanning was tested using a plaque-lift assay and immunochemical detection. The putative tumor-associated phage clones were collected for PCR and sequencing analysis. Unique and open reading frame phage-expressed proteins were then used to develop phage protein ELISAs to measure corresponding autoantibodies using 87 breast cancer patients and 87 normal serum samples. A logistic regression model and leave-one-out validation were used to evaluate predictive accuracies with a single marker as well as with combined markers. Identities of those selected proteins were revealed through the sequence BLAST program.We harvested 100 putative tumor-associated phage clones after biopan enrichment. Sequencing analysis revealed that six phage proteins were inframe and unique. Antibodies to these six phage-expressed proteins were measured by ELISAs, and the results showed that three of the phage clones had statistical significance in discriminating patients from normal individuals. BLAST results of the three proteins showed great matches to ASB-9, SERAC1, and RELT. Measurements of the three predictive phage proteins were combined in a logistic regression model that achieved 80% sensitivity and 100% specificity in prediction of sample status, whereas leave-one-out validation achieved 77.0% sensitivity and 82.8% specificity among 87 patient samples and 87 control samples. Receiver operating characteristic curve analysis and the leave-one-out method both showed that combined measurements of the three antibodies were more predictive of disease than any of the single antibodies studied, underscoring the importance of identifying multiple potential markers.Serum autoantibody profiling is a promising approach for early detection and
Effect of water stress on nitrogen nutrition efficiency of winter wheat
水分胁迫对冬小麦氮素营养效率的影响

TANG Yu-Xi,MENG Chun-Xiang,JIA Shu- Long,ZHI Jian-Fei,HU Chun-Fang,
唐玉霞
,孟春香,贾树龙,智建飞,胡春芳

中国生态农业学报 , 2002,
Abstract: 试验研究盆栽控制水分条件下冬小麦不同生育期水分胁迫对其N素营养的效应结果表明,小麦生育期水分胁迫影响其N素的吸收、运转及产量,其影响程度依次为拔节~抽穗期>抽穗~灌浆初期>灌浆初期~成熟期>返青~拔节期,拔节~抽穗期水分胁迫极显著地降低冬小麦的N素营养效率.
Summer maize growth supervision and nutrition diagnosis with red edge parameters
基于红边参数的夏玉米长势监测及其营养诊断研究

TAN Chang-Wei,WANG Ji-Hu,LU Jian-Fei,HUANG Wen-Jiang,
谭昌伟
,王纪华,陆建飞,黄文江

中国生态农业学报 , 2007,
Abstract: The correlations of agronomy components and red edge parameters were discussed.The results indicate that the FD-Max can be used for predition of leaf area index,and Depth672 for the stem total nitrogen content,Lwidth for the leaf total nitrogen content,water content and soluble sugar of leaf and stem.The regression models with the red edge parameters as independent variables were established.The analysis on the forecasting function of the models shows that red edge parameters can be used as sensitive indicators of summer maize growth and nutrition status.
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