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Search Results: 1 - 10 of 8476 matches for " Kui Xiong "
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Familial tumoral calcinosis in two Chinese patients: a case series
Che Zhang, Jiaowei Gu, Xiaoli Cheng, Kui Xiong
Journal of Medical Case Reports , 2011, DOI: 10.1186/1752-1947-5-394
Abstract: Familial tumoral calcinosis was present in two members of a Han Chinese family, namely, the son and daughter. The 14-year-old son had the first operation on his right sole of the foot at the age of six, and then experienced subsequent surgeries at a lesion in his right sole of the foot and left hip, respectively. The 16-year-old daughter underwent her first operation at the age of six in her left gluteal region, and subsequent surgeries were performed due to recurrence at the same lesion. Pathologic diagnoses of surgical specimens in both of the patients were reported as tumoral calcinosis. The laboratory results showed hyperphosphatemia with normal levels of serum calcium and alkaline phosphatase. Only surgical treatment was performed in both patients with satisfactory prognosis.This is the first report of Chinese familial tumoral calcinosis. The etiopathogenisis and treatment are discussed.Tumoral calcinosis (TC) was first described by Inclan [1] in 1943 as slow growing, progressive masses usually found adjacent to large joints such as hips, shoulders and elbows. The masses are hard and painless. Recurrence tends to be observed at the same location subsequent to inadequate resection. Further identification is based on the pathogenesis. We describe the first two cases of familial TC in Chinese siblings, and present their clinical and pathological features.A 14-year-old Han Chinese boy presented with an eight-year history of TC. He first noticed a painful mass on the bottom of his right foot at the age of six, and mass resection was performed. Then an operation was conducted for a mass that developed on the bottom of his left foot at the age of eight. A mass first occurred on his left hip at the age of 12. This mass excised and diagnosed on pathology as a tendon calcification tumor. After that, a recurrent mass on his lateral left hip was observed. On physical examination, the mass was firm, sessile, with a clear edge and normal skin temperature, and measured 4 × 5
DYNAMIC INFRARED IMAGE GENERATING TECHNIQUE
动态红外图像生成技术研究

LI Zhuo,WANG Kui,Xiong,
李卓
,魏光辉

红外与毫米波学报 , 1999,
Abstract: A passive dynamic infrared generating technique as well as a related device was presented. The time constant, space resolutions and contrast ratio of the transducer were discussed theoretically and measured experimentally. Dynamic infrared images with space resolution of 6 lp/mm, contrast ratio better than 100:1,and time constant of about 6ms were realized in the experiment. The transducer can work for infrared image evaluation, calibration and dynamic infrared image simulation.
Photovoltage analysis of a heterojunction solar cell

Xiong Chao,Yao Ruo-He,Geng Kui-Wei,

中国物理 B , 2011,
Abstract:
Fast Segmentation and Identification in Vision System for Soccer Robots
足球机器人视觉图象的快速识别

HE Chao,XIONG Rong,DAI Lian-kui,
何超
,熊蓉,戴连奎

中国图象图形学报 , 2003,
Abstract: Robot Soccer game is become popular recent years. The system combined with mechanic, electronic, control, computer, image process and etc. In order to win the game, the system must be more quick and more accuracy. Because vision sub-system is the first step of the whole system, its speed and accuracy are important to the whole systems speed and accuracy. Real-time segmentation is the first step in the color-vision system on the robot system. A color image segmentation method using improved seed-fill algorithm in YUV color space is introduced in this paper. The new method dramatically reduces the work of calculation, and speeds up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper. The second step of the vision sub-system is identification the color block that separated by the first step. A improved seed fill algorithm is used in the paper. The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.
Supply Chain Decision Analysis Based on Risk-Aversion and Cost Information Asymmetry  [PDF]
Sijia Xiong, Liyang Xiong
Journal of Service Science and Management (JSSM) , 2019, DOI: 10.4236/jssm.2019.123030
Abstract: This paper analyzes the impact of risk aversion and retailer’s cost lied factor on supply chain decision-making in a hybrid channel supply chain system consisting of a risk-averse manufacturer and a retailer. According to the expected utility maximization theory, this paper gets the optimal decision of the manufacturer and retailer. First, it analyzes the impact of risk aversion factor on pricing decisions of supply chain members when the information of the retailer’s cost is public. Next, this paper considers the fact that the retailer has advantages on cost information, analyzes the relations between the retailer’s optimal cost lied factor and each parameter.
Effects of Cold Stress on Expression of Hsp70 Gene in Blood Lymphocyte of Piglets
Hong Ji,Yong Kui Wu,Jing Ru Guo,Jian Fa Wang,Shi Ze Li,Huan Min Yang,Ju Xiong Liu
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.3914.3920
Abstract: To explore effects of intensity and time of cold stress on expression of Hsp70 gene in blood Lymphocyte of piglets, Western-blotting and real-time PCR were performed to detect expression level of HSP70 gene, respectively. The results showed as followed: at 10 to 4°C, HSP70 expression increased significantly for 0.5 h and subsequently decreased slightly before increasing markedly again at both 6 and 24 h; HSP70 mRNA expression level increased sharply after piglets were exposed for 0.5 h. The condition maintained for 6 h then declined at 12 h it reached a level apparently higher than the level prior to cold exposure at 24 h the transcription level recovered to normal. At 3 to 3°C the expression level increased at 6 h but then returned to pre-exposure levels; mRNA increased significantly at 12 h. At 4-10°C, no marked difference in expression level was detected. In conclusion, HSP70 mRNA expression showed the faster regular pattern therefore, it can be used as an objective parameter to evaluate animal cold stress conditions.
The Optimal Level and Impact of Internal Factors on Growth  [PDF]
Kui-Wai Li
Modern Economy (ME) , 2011, DOI: 10.4236/me.2011.23024
Abstract: This paper empirically uses data from the world economy to show that performance of domestic factors are equally important to external factors when comes to growth. Various external and domestic factors are used to construct two separate indices and the principal component method is applied in the analysis. The empiri- cal results show that given a different level of performance in the economy’s external factors, a higher per- formance in the internal factors will produce a higher growth rate. When the performance of an economy’s internal factors is extremely low, it would be appropriate for that economy first to improve its internal factors.
Research on Financial Distress Prediction with Adaptive Genetic Fuzzy Neural Networks on Listed Corporations of China  [PDF]
Zhibin XIONG
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.25043
Abstract: To design a multi-population adaptive genetic BP algorithm, crossover probability and mutation probability are self-adjusted according to the standard deviation of population fitness in this paper. Then a hybrid model combining Fuzzy Neural Network and multi-population adaptive genetic BP algorithm—Adaptive Genetic Fuzzy Neural Network (AGFNN) is proposed to overcome Neural Network’s drawbacks. Furthermore, the new model has been applied to financial distress prediction and the effectiveness of the proposed model is performed on the data collected from a set of Chinese listed corporations using cross validation approach. A comparative result indicates that the performance of AGFNN model is much better than the ones of other neural network models.
A Dam Break Analysis Using HEC-RAS  [PDF]
Yi Xiong
Journal of Water Resource and Protection (JWARP) , 2011, DOI: 10.4236/jwarp.2011.36047
Abstract: This paper firstly described the dam break in the aspects of theories and models. Break parameters prediction, the understanding of dam break mechanics, peak outflow prediction were shown as the essential for the dam break analysis, and eventually determined the loss of the damages. Secondly, as an application example, Foster Joseph Sayers Dam break was further modeled and analyzed using USACE Hydrologic Engineering Center’s River Analysis System (HEC-RAS) model based on available geometry data. The results show that dam break is a complicated and comprehensive process involving lots of principles. Combination of mechanics and case studies, reflection of predominant mechanisms of headcut erosion, more specific categorization of dam, prudent investigation and inference of dam break process are needed in developing a satisfactory dam break simulation model. Foster Joseph Sayers Dam break due to piping elongates the time period of high water surface level, which increases the duration of risk. However, the dam break does not increase the downstream maximum water surface elevation (Max. W.S. Elev) significantly at previous design Probable Maximum Flood (PMF). Dam break has a greater impact on the downstream location where is closer to the dam in accordance with the comparison of the hydrographs at different downstream locations. Sensitivity analysis demonstrates that the changes of dam break parameters had no much influence on the downstream Max. W.S. Elev.
The Literature Review of Algebra Learning: Focusing on the Contributions to Students’ Difficulties  [PDF]
Xiong Wang
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.62013
Abstract: This paper reviews the research literature with respect to the contributions to the students’ difficulties in their algebra learning in order to understand the students’ difficulties in algebra learning. To start with, 29 articles selected from the database (ERIC) are categorized into a taxonomy which has been generated from the research literature, which falls into five categories including: algebra content, cognitive gap, teaching issues, learning matters, and transition knowledge. The challenges that students confront with under those categories are unpacked in the review process. In addition, the five categories adopted in this paper could serve as a framework of better understanding students’ difficulties in their algebra learning. Finally, the research gap from the literature review is discussed.
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