Shihezi University is a university in Shihezi, Xinjiang, founded in April 1996 under the integration of some former institutional colleges by the Ministry of Education and the Xinjiang Production and Construction Corps. It is a national key university. In August 2000, the University was a key University designated by China' s government to be constructed in West China.Shihezi University is a new comprehensive university, located in Shihezi, the Garden City, located by the river of Manas on the northern foot of the Tianshan Mountains in Xinjiang.In August 2000, the Central Government designated the university as a key institution to develop in northwestern China.Shihezi University was ranked among the key constructed university under the “211 project” in Dec 31,2008.Shihezi University offers ten specialties—Agriculture, Medicine, Engineering, Economics and Trade, Management, Literature and Arts, science, Education, Law, and History. The university has 20 colleges, offering 4 doctorate degrees, 52 masters degrees, 66 bachelors degrees programs, 5 specialties that enroll on-job-teachers for masters degrees, 1 post-doctoral scientific work stations, 2 post-doctoral mobile stations. The university has jointly set up graduate education bases with Peking University and Tianjin University, as well as a program for culture-oriented quality-education for Chinese university students. The university has 11 disciplines of Ministry of Agriculture, Xinjiang Uygur Autonomous Region and the Xinjiang Production and Construction Corps , 3 key laboratories co-constructed and supported by the Ministry of Education, the Ministry of Science and Technology, and the XPCC, it has 2 key laboratories of XPCC, 2 key bases for art and scientific research and 24 graduate schools and research centers. The university has become one of key scientific research bases of XPCC and XUAR.The University now has a faculty of 2,607, including 1,527 full-time teachers, 2 specially-engaged academician of the Chinese Academy of Engineering, 152 professors, 450 associate professors. The university employs more than 10 foreign experts and teachers every year. The students of the university come from 31 provinces and regions. The total enrollment of students numbers 30,032, including 21,989 undergraduates 1,906 postgraduates and 245 international students from eight countries, such as United States, Russia, Pakistan, Kazakhstan, South Korea etc.The University is equipped with the most up-to-date teaching and scientific research facilities. It has a well-equipped library, a large gymnasium, a multi-functional stadium and modernized teaching buildings. The University covers 1,870, 000 square meters. It has 950,000 square meters of building, and the area of its laboratories is 170,000 square meters .The library has a collection of 2,900,000 Chinese and foreign books and periodicals, and is only one model project in Xinjiang, as university digital libraries in State High-tech Project 863.There is also a book collection spot of UN's Food and Agriculture Organization in it. Wikipedia.
Ouyang J.,Shihezi University |
Ju P.,Nanjing University
Energy | Year: 2017
Energy-intensive manufacturers have two main options for improving their energy efficiency: design and implement energy efficiency projects on their own (we call this self saving), or enter into energy performance contracts (EPCs), which mainly include shared savings and guaranteed savings. In this paper, we will discuss an energy-intensive manufacturer facing self saving and shared savings options and how this manufacturer chooses the optimal energy saving mode under non-coordination and coordination scenarios. We first formulate several mathematical models of the two types of energy-saving modes based on the assumption of exogenous unit savings (EX). We show that when the unit energy-saving benefit from shared savings is greater than the unit energy-saving benefit from self saving, the manufacturer prefers shared savings under the non-coordination scenario; otherwise, the manufacturer prefers self saving. Furthermore, we find that the bargaining power of the manufacturer is also a key factor in addition to the difference of unit energy-saving benefits under the coordination scenario. Interestingly, sometimes the bargaining power of the manufacturer has no impact on the optimal choice of energy saving modes. Finally, the basic model is extended to endogenization of unit savings (EN), and we show that the optimal choices of energy saving modes are completely different from the basic model. © 2017 Elsevier Ltd
Wang J.,Shihezi University
Journal of Chemical and Pharmaceutical Research | Year: 2014
Take previous Olympic Games athletics performance as reference, use neural network algorithms’ relative strong self fault-tolerant ability and self-training learning ability as well as other good advantages to construct BP neural network model, carry out specific application and verification on the model, and research on No. 1 performance by establishing and applying neural network. Research result shows that BP neural network can be used for sports performance predicting, so neural network model provides extremely wide development space for sports performance prediction model researching. © 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.
Zhou J.,Shihezi University
Journal of Sensors | Year: 2017
The recent success of emerging wireless sensor networks technology has encouraged researchers to develop new energy-efficient duty cycle design algorithm in this field. The energy-efficient duty cycle design problem is a typical NP-hard combinatorial optimization problem. In this paper, we investigate an improved elite immune evolutionary algorithm (IEIEA) strategy to optimize energy-efficient duty cycle design scheme and monitored area jointly to enhance the network lifetimes. Simulation results show that the network lifetime of the proposed IEIEA method increased compared to the other two methods, which means that the proposed method improves the full coverage constraints. © 2017 Jie Zhou.
Zhao M.,Shihezi University
Advances in Mechanical Engineering | Year: 2017
This article presents an efficient integrated approach on designing a non-blocking supervisor for the most general classes of Petri nets, called G-systems that allow multiple resource acquisitions. This work mainly focuses on developing a deadlock prevention policy with a polynomial computational complexity. First, an extraction algorithm of liveness requirement constraints is presented according to the concept of resource partial orders. By considering the different resource requirements of various processes, monitors are added for the uncontrolled G-system on the basis of those precise linear inequality constraints. Afterward, we explore an iterative control policy by utilizing the traditional mathematical programming method, which can ensure the liveness of the resultant controlled system. Comparing with the existing deadlock control policies reported in the literature, the proposed method can achieve a non-blocking controlled G-system with simple structure and high computational efficiency. Finally, a benchmark G-system example is used to substantiate the efficiency of the new method. © The Author(s) 2017.
Na Z.,Shihezi University
Advanced Materials Research | Year: 2014
According to learning other models equipment test information of complex equipment in the development process, and making their own systems to improve the reliability of the case, a complex equipment reliability growth AMSAA-ELP model based on explore learning promotion was developed, and the property was analyzed from different parameter values. Additionally, the trend test was also presented. Secondly, maximum likelihood estimation formula of the parameters was given under time censored and failure censored test of AMSAA-ELP model, and point out that there are multiple poles value of the maximum likelihood estimate can use pseudo-Monte-Carlo method parameter calculation. Additionally, the model's goodness of fit test was also given. Finally, the combination of complex equipment with engine failure data was analyzed. The results shows that the AMSAA-ELP model is prefer to AMSAA model intended to test data, and the AMSAA-ELP model is suitable to the engineering applications. © (2014) Trans Tech Publications, Switzerland.
Zhao F.,Shihezi University
Analytical Letters | Year: 2013
A flow injection post chemiluminescence (FI-PCL) reaction was found when astemizole was mixed with the CL reaction mixture of N-bromosuccinimide and calcein under alkaline conditions. Based on this observation, a simple and sensitive post chemiluminescence (PCL) technique for the assay of astemizole was described. Under the optimized conditions, the PCL values responded linearly to the concentration of astemizole in the range 1.0 × 10-3-3.0 μg/mL, with a detection limit of 7.0 × 10-4 μg/mL. The relative standard deviation was 1.7% for 1.0 × 10-2 μg/mL astemizole solution (n = 13). It was applied to the determination of astemizole in pharmaceutical preparations with satisfactory results. © 2013 Copyright Taylor and Francis Group, LLC.
Wang T.,Shihezi University
Nonlinear Dynamics | Year: 2014
All species live in space, and the research of spatial diseases can be used to control infectious diseases. As a result, it is more realistic to study the spatial pattern of epidemic models with space and time. In this paper, spatial dynamics of an epidemic model with nonlinear incidence rate is investigated. We find that there are different types of stationary patterns by amplitude equations and numerical simulations. The obtained results may well explain the distribution of disease observed in the real world and provide some insights on disease control. © 2014 Springer Science+Business Media Dordrecht.
Wang T.,Shihezi University
Physica A: Statistical Mechanics and its Applications | Year: 2014
Mathematical models are very useful in analyzing the spread and control of infectious diseases which can be used to predict the developing tendency of the infectious disease, determine the key factors and to seek the optimum strategies of disease control. As a result, we investigated the pattern dynamics of a spatial epidemic model with logistic growth. By using amplitude equation, we found that there were different types of stationary patterns including spotted, mixed, and stripe patterns, which mean that spatial motion of individuals can form high density of diseases. The obtained results can be extended in other related fields, such as vegetation patterns in ecosystems. © 2014 Elsevier B.V. All rights reserved.
Wang Y.,Shihezi University
Wei sheng wu xue bao = Acta microbiologica Sinica | Year: 2010
OBJECTIVE: To understand whether hepatitis E virus (HEV) was infectious in sheep in Xinjiang. METHODS: We used reverse transcription-nested polymerase chain reaction(RT-nPCR) to detect HEVRNA in feces. The feces were collected from sheep with positive anti-HEV antibodies in a sheep farm in Xinjiang Autonomous Region. RESULTS: Six of 54 (11.11%) sheep were positive for HEV RNA. PCR amplification products were cloned, sequenced and analyzed. The homology among HEV of the 6 sheep HEV ORF2 189bp nucleotide amplification sequences was 99.38%-100%. They should belong to the same genotype. They were respectively compared with HEV genotype I, II, III and IV corresponding 189bp nucleotide sequences. The average homology was 78.67%-85.33%, 81.33%-82.67%, 78.67%-84.00% and 84.67%-95.36%. The maximum homology between 6 nucleotide amplification sequences and one sequence of genotype IV was 94.04%-95.36%. Based on sequence of the nucleic acid fragments, a phylogenetic tree was constructed. Six sheep HEV ORF2 189bp nucleotide amplification sequences in this study and bovine HEV, swine HEV and human HEV locate the same evolutionary vine and belong to genotype IV. CONCLUSION: The finding suggested that infection of HEV probably exists in the sheep group in Xinjiang Autonomous Region and the sheep may be a new animal host except swine in origins of HEV infection.
Zhang J.,Shihezi University
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology | Year: 2013
To examine Prion protein(PrP) expression and its clinical significance in oral mucosa, oral leukoplakia, oral squamous cell carcinoma(OSCC) and its subgroups. Expression of PrP in OSCC, oral leukoplakia and mucosa specimen was detected by immunohistochemistry. The association between the expression and gender, TNM clinical stages, pathological grades was evaluated. The positive expression rate of PrP in normal, oral leukoplakia and OSCC tissues was 15% (3/20) , 42% (11/26) and 95% (80/84) , respectively. There was a significant difference between the expression of PrP in leukoplakia and in high, moderately and poorly differentiated OSCC(P < 0.05). The positive expression rate was increased with the declining of pathological differentiation (P < 0.05). There was no significant difference in PrP expression among lymph node metastasis and gender. PrP expression of stages I and II was up-regulated with the decreased differentiation (P < 0.05). There was no significant difference in PrP expression between stage III and IV (P > 0.05). Between stages I+II and III+IV in the overa II expression of PrP, there was a significant difference(P < 0.05). The high expression of PrP in OSCC and the progressive expression from leukoplakia to OSCC was closely related to the carcinogenesis of OSCC, pathologic stage and clinical TNM stage.