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Search Results: 1 - 10 of 23413 matches for " Dejie ZHENG "
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Interference of Homologous Sequences on the SNP Study of CYP2A13 Gene
Feng HUA,Haisu WAN,Chaorong MEI,Dejie ZHENG
Chinese Journal of Lung Cancer , 2010,
Abstract: Background and objective It has been proven that cytochrome P450 enzyme 2A13 (CYP2A13) played an important role in the association between single nucleotide polymorphisms (SNP) and human diseases. Cytochrome P450 enzymes are a group of isoenzymes, whose sequence homology may interfere with the study for SNP. The aim of this study is to explore the interference on the SNP study of CYP2A13 caused by homologous sequences. Methods Taqman probe was applied to detect distribution of rs8192789 sites in 573 subjects, and BLAST method was used to analyze the amplified sequences. Partial sequences of CYP2A13 were emplified by PCR from 60 cases. The emplified sequences were TA cloned and sequenced. Results For rs8192789 loci in 573 cases, only 3 cases were TT, while the rest were CT heterozygotes, which was caused by homologous sequences. There are a large number of overlapping peaks in identical sequences of 60 cases, and the SNP of 101 amino acid site reported in the SNP database is not found. The cloned sequences are 247 bp, 235 bp fragments. Conclusion The homologous sequences may interfere the study for SNP of CYP2A13, and some SNP may not exist.
Association between GSTM1 Genetic Polymorphism and Lung Cancer Risk by SYBR Green I Real-time PCR Assay
Dejie ZHENG,Feng HUA,Chaorong MEI,Haisu WAN
Chinese Journal of Lung Cancer , 2010,
Abstract: Background and objective Glutathione S-transferase M1 (GSTM1) is an important phase II metabolic enzyme gene which involves metabolism of various carcinogens in human body. Many studies showed that GSTM1 genetic polymorphism was associated with lung cancer risk. The aim of this study is to investigate the relationship between GSTM1 genetic polymorphism and lung cancer risk among Han nationality population in Tianjin district. Methods GSTM1 genetic polymorphism was detected by melting curve analysis of SYBR green I real-time PCR assay. Two hundred and sixty-five histological confirmed lung cancer patients and 307 health controls were recruited in this case-control study and the relationship between GSTM1 genetic polymorphism and lung cancer risk was investigated. Results (1) The frequency of the GSTM1(-) in lung cancer and control groups was 56.6% and 57.0% respectively, and no significant difference was found between the distribution of the GSTM1(-) genotype in the two groups (χ2=0.831, P=0.362). (2) When considered the GSTM1(+) genotype as reference, there was no overall statistically increased lung cancer risk for carriers with the GSTM1(-) genotype adjusted by age, gender and smoking status (OR=0.840, 95%CI: 0.578-1.221, P=0.362). (3) The frequency of the GSTM1(-) genotype for squamous cell carcinoma, adenocarcinoma, SCLC and other histological types was 65.8%, 48.5%, 47.8% and 52.2% respectively, compared with the control group, no statistically increased lung cancer risk was observed (P>0.05). Conclusion No evidence is found between GSTM1 genetic polymorphism and lung cancer risk among Han nationality population in Tianjin district.
Romance and Prejudice --- Comment on Contemporary University Students' Personality Value Orientation
Dejie Jiao
Asian Social Science , 2009, DOI: 10.5539/ass.v5n6p166
Abstract: This essay makes a survey on contemporary university students' personality orientation combined with changes of times. The main features of contemporary university students' personality orientation are multivariate and romance, utility and prejudice. Some suggestions about cultivating healthy personality are made in this essay.
Research on Knowledge Transfer Influencing Factors in Software Process Improvement  [PDF]
Jiangping Wan, Qingjing Liu, Dejie Li, Hongbo Xu
Journal of Software Engineering and Applications (JSEA) , 2010, DOI: 10.4236/jsea.2010.32017
Abstract: Knowledge transfer model of software process improvement (SPI) and the conceptual framework of influencing factors are established. The model includes five elements which are knowledge of transfer, sources of knowledge, recipients of knowledge, relationship of transfer parties, and the environment of transfer. The conceptual framework includes ten key factors which are ambiguity, systematism, transfer willingness, capacity of impartation, capacity of absorption, incen-tive mechanism, culture, technical support, trust and knowledge distance. The research hypothesis is put forward. Em-pirical study concludes that the trust relationship among SPI staffs has the greatest influence on knowledge transfer, and organizational incentive mechanism can produce positive effect to knowledge transfer of SPI. Finally, some sug-gestions are put forward to improve the knowledge transfer of SPI: establishing a rational incentive mechanism, exe-cuting some necessary training to transfer parties and using software benchmarking.
An Initial Investigation on the Distribution, Living Conditions and Traits of the Hazel in Great Xing’an Ridge Region  [PDF]
Qian Wang, Shuchai Su, Dejie Yin, Zhongqiu Tang, Di Xu
Natural Resources (NR) , 2011, DOI: 10.4236/nr.2011.24029
Abstract: To take full advantage of the natural hazel resources and improve its yield and quality in Great Xing’an Ridge region, we carried out an initial investigation. The result showed that: there are two species in this area: Corylus heterophlla and Corylus mandshurica. They mainly distribute from south of XinLin town, HuMa county, Heilongjiang province to south boundary of Great Xing’ an Ridge in mountain and hilly areas. Most of hazel in this area was under the state of natural growth with no scientific man-management. Soil where Corylus heterophlla grew was about 40 cm to 50 cm and Corylus mandshurica was 30 cm to 45 cm. The main plant disease was powdery mildew and insect pest were Curculio dieckmani, Zeuzera sp. and Faust Cockchafer. 100-seed weight of Corylus heterophylla was more than twice of Corylus mandshuria. However, Corylus mandshuria was plumper, had much more kernel and much less empty shell than Corylus heterophylla, and what’s more, shell sickness of it turned to be significantly thinner than Corylus heterophylla, all of which showed great cultivation value and economic commodity value.
A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM
Junsheng Cheng,Dejie Yu,Yu Yang
EURASIP Journal on Advances in Signal Processing , 2008, DOI: 10.1155/2008/647135
Abstract: An accurate autoregressive (AR) model can reflect the characteristics of a dynamic system based on which the fault feature of gear vibration signal can be extracted without constructing mathematical model and studying the fault mechanism of gear vibration system, which are experienced by the time-frequency analysis methods. However, AR model can only be applied to stationary signals, while the gear fault vibration signals usually present nonstationary characteristics. Therefore, empirical mode decomposition (EMD), which can decompose the vibration signal into a finite number of intrinsic mode functions (IMFs), is introduced into feature extraction of gear vibration signals as a preprocessor before AR models are generated. On the other hand, by targeting the difficulties of obtaining sufficient fault samples in practice, support vector machine (SVM) is introduced into gear fault pattern recognition. In the proposed method in this paper, firstly, vibration signals are decomposed into a finite number of intrinsic mode functions, then the AR model of each IMF component is established; finally, the corresponding autoregressive parameters and the variance of remnant are regarded as the fault characteristic vectors and used as input parameters of SVM classifier to classify the working condition of gears. The experimental analysis results show that the proposed approach, in which IMF AR model and SVM are combined, can identify working condition of gears with a success rate of 100% even in the case of smaller number of samples.
Structure and Inhibition of the SARS Coronavirus Envelope Protein Ion Channel
Konstantin Pervushin ,Edward Tan,Krupakar Parthasarathy,Xin Lin,Feng Li Jiang,Dejie Yu,Ardcharaporn Vararattanavech,Tuck Wah Soong,Ding Xiang Liu,Jaume Torres
PLOS Pathogens , 2009, DOI: 10.1371/journal.ppat.1000511
Abstract: The envelope (E) protein from coronaviruses is a small polypeptide that contains at least one α-helical transmembrane domain. Absence, or inactivation, of E protein results in attenuated viruses, due to alterations in either virion morphology or tropism. Apart from its morphogenetic properties, protein E has been reported to have membrane permeabilizing activity. Further, the drug hexamethylene amiloride (HMA), but not amiloride, inhibited in vitro ion channel activity of some synthetic coronavirus E proteins, and also viral replication. We have previously shown for the coronavirus species responsible for severe acute respiratory syndrome (SARS-CoV) that the transmembrane domain of E protein (ETM) forms pentameric α-helical bundles that are likely responsible for the observed channel activity. Herein, using solution NMR in dodecylphosphatidylcholine micelles and energy minimization, we have obtained a model of this channel which features regular α-helices that form a pentameric left-handed parallel bundle. The drug HMA was found to bind inside the lumen of the channel, at both the C-terminal and the N-terminal openings, and, in contrast to amiloride, induced additional chemical shifts in ETM. Full length SARS-CoV E displayed channel activity when transiently expressed in human embryonic kidney 293 (HEK-293) cells in a whole-cell patch clamp set-up. This activity was significantly reduced by hexamethylene amiloride (HMA), but not by amiloride. The channel structure presented herein provides a possible rationale for inhibition, and a platform for future structure-based drug design of this potential pharmacological target.
Isolation and identification of dominant microorganisms in rhizosphere of continuous cropping with peanut

Yanwei Yan,Hong Zhang,Lu Liu,Hongquan Xian,Dejie Cui,

微生物学报 , 2011,
Abstract: Abstract:Objective] We isolated and identified dominant microorganisms from the rhizosphere of continuous cropping with peanut, to study the relationship between dominant microorganisms and peanut continuous cropping. Methods] By using dilution-plate method we isolated dominant bacteria, fungi and actinomycetes from the rhizosphere of continuous cropping with peanut. Morphological specificity, culture shape, physiological-biochemical characteristic and partial 16S rDNA sequences were used to identify bacteria and actinomycetes. Morphology, growth on various media, and ITS rDNA sequences homology analysis were performed to identify dominant fungi. Results] We isolated seven dominant bacteria strains, seven dominant fungi and seven dominant actinomycetes. Dominant bacteria were identified as Leifsonia xyli, Arthrobacter chlorophenolicus, Microbacterium flavescens, Sphingomonas sp., Pasteurella sp. , Bacillus simplex and Bacillus megaterium. Dominant fungi were identified as Cladosporium cladosporioides, Penicillium purpurogenum, Hypocrea lixii, Exophiala pisciphila, Penicillium janthinellum,Aspergillus sp. and Verticillium dahliae. Dominant actinomycetes were identified as Streptomyces violaceoruber, Streptomyces flaveus, Streptomyces panaciterrae, Streptomyces achromogenes, Streptomyces pseudogriseolus, Streptomyces cellulosae and Streptomyces aureus. Conclusion] This study was the first time to isolate and identify dominant microorganisms from the rhizosphere of continuous cropping with peanut. The type of dominant microorganisms changed obviously after planting peanut, although the change was without regularity.
Demanding Model of Automobile Loan Using Stochastic Theory  [PDF]
Zheng Wang
Technology and Investment (TI) , 2010, DOI: 10.4236/ti.2010.13025
Abstract: We propose a double forecasting model using stochastic theory .The demand of automobile loan is the sum of all compound variables which indicated that automobile loan was credited to customer occurring in a certain period of time. Probability distribution of automobile loan was acquired using throughout probability theory. In view of such a fact, demand of automobile loan can be viewed as a conditional mathematic expectation. The forecasting model is proposed using growing function. Theoretical analysis and Case study shows that model based on conditional expectation is better than other model available with respect to forecasting demand of automobile loan.
A Security Transfer Model Based on Active Defense Strategy  [PDF]
Ying Zheng
Communications and Network (CN) , 2010, DOI: 10.4236/cn.2010.23027
Abstract: This paper proposes a security transfer model founded on the active defense strategy. In the unit of security domains of dynamic overlaying routers, this model defines the intelligent agent/ management of network element together with the self-similar, hierarchical and distributed management structure. Furthermore, we use deceptive packets so that the attackers can not trace back to the encrypted data packets. Finally, according to the digested information from data packets, this model is capable of detecting attacks and tracing back to the attackers immediately. In the meantime, the overlaying routers in the security domain are dynamically administered. In summary, this model not only improves the se-curity of data transfer on the web, but also enhances the effectiveness of the network management and switching efficiency of routers as well.
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