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Search Results: 1 - 10 of 26971 matches for " Changqing Jin "
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Pressure induced metallization of Cu3N
Wen Yu,Linyan Li,Changqing Jin
Physics , 2005, DOI: 10.1007/s10853-005-0638-3
Abstract: We employed accurate full potential density-functional theory and linearized augmented plane wave method to investigate the electronic properties and possible phase transitions of Cu3N under high pressure. The anti perovskite structure Cu3N is a semiconductor with a small indirect band gap at ambient pressure. The band gap becomes narrower with increasing pressure, and the semi-conducting anti ReO3 structure undergoes a semiconductor to semimetal transition at pressure around 8.0 GPa. At higher pressure, a subsequent semimetal to metal transition could take place above 15GPa with a structural transition from anti ReO3 to Cu3Au structure.
Cascading cis-Cleavage on Transcript from trans-Acting siRNA-Producing Locus 3
Changqing Zhang,Guangping Li,Jin Wang,Shinong Zhu,Hailing Li
International Journal of Molecular Sciences , 2013, DOI: 10.3390/ijms140714689
Abstract: The production of small RNAs (sRNAs) from phased positions set by microRNA-directed cleavage of trans-acting-siRNA-producing locus (TAS) transcript has been characterized extensively; however, the production of sRNAs from non-phased positions remains unknown. We report three cis-cleavages that occurred in TAS3 transcripts in Vitis vinifera, by combining high-throughput sRNA deep sequencing information with evolutional conservation and genome-wide RNA degradome analysis. The three cis-cleavages can be deciphered to generate an orderly cleavage cascade, and can also produce distinct phasing patterns. Each of the patterns, either upstream or downstream of the cis-cleaved position, had a set of sRNAs arranged in 21-nucleotide increments. Part of the cascading cis-cleavages was also conserved in Arabidopsis thaliana. Our results will enhance the understanding of the production of sRNAs from non-phased positions that are not set by microRNA-directed cleavage.
Predicted Trans-Acting siRNAs in the Human Brain
Xiaoshuang Liu,Guangxin Zhang,Changqing Zhang,Jin Wang
International Journal of Molecular Sciences , 2015, DOI: 10.3390/ijms16023377
Abstract: Endogenous small non-coding RNAs play pivotal roles in regulating gene expression in eukaryotes. Many studies have investigated the function and molecular mechanism of microRNAs in the development and disease of various organisms via mRNA repression of protein-coding genes. Recent findings indicate microRNAs might trigger the generation of trans-acting small interfering RNAs (ta-siRNAs). The interaction among different types of small RNA molecules reveals an even more complicated and elaborate pattern of RNA regulation during gene expression than previously thought. We developed a method for mining ta-siRNA sequences and evaluated the performance of our novel method using data from Arabidopsis thaliana. Additionally, using small RNA and degradome data for the human brain, we identified 155 small RNAs that satisfied ta-siRNA characteristics. The DRAXIN and ATCAY genes, which are preferentially expressed in the human brain, were predicted to be the targets of 12 potential ta-siRNAs.
BPM Architecture Design Based on Cloud Computing  [PDF]
Zhenyu Fang, Changqing Yin
Intelligent Information Management (IIM) , 2010, DOI: 10.4236/iim.2010.25039
Abstract: Cloud Computing has become one of the popular buzzwords in the IT area after Web2.0. This is not a new technology, but the concept that binds different existed technologies altogether including Grid Computing, Utility Computing, distributed system, virtualization and other mature technique. Business Process Management (BPM) is designed for business management using IT infrastructure to focus on process modeling, monitor and management. BPM is composed of business process, business information and IT resources, which help to build a real-time intelligent system, based on business management and IT technologies. This paper describes theory on Cloud Computing and proposes a BPM implement on Cloud environments.
Principal Factors Affecting IDBT Evolution  [PDF]
Changqing Liu, Haili Yuan
Journal of Service Science and Management (JSSM) , 2011, DOI: 10.4236/jssm.2011.44050
Abstract: Studies on Italian Double-entry Bookkeeping Thought (IDBT) evolution are seldom found in such aspects as accounts with persons (AP), accounts with goods (AG), and accounts equilibria (AE), etc., so we studied IDBT evolution in the aspects stated above and the principal factors for IDBT evolution, including their selection, contribution and sequence in this thesis. By our analysis, IDBT evolved in such aspects as accounts with persons (AP), accounts with goods (AG), loss and net income accounts (LNIA), capital accounts (AC) and accounts equilibria (AE), etc., and ripened in the period of 1430-1482. Principal factors affecting IDBT evolution can be ordered by contribution as follows: social conditions (SCS3) and relationships between supply and demand of accounting thought (RBSDAT2). And our related advice is as follows: governments should adopt appropriate policy, and help to build proper social conditions and strengthen the relationships between supply and demand of accounting thought to promote the evolution of accounting thought. Especially as to social conditions, IDBT evolution is mainly owing to external causes from the outside of Italy. Once the outside motive disappeared, IDBT would lose the strong power of evolution and slow down its pace. So governments should place more emphases on building proper social conditions by encouraging internal powers from the inside of Italy.
A Generation Method of Dithering Signal Based on DFT  [PDF]
Changqing Ye, Xingzhong Xiong
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2017, DOI: 10.4236/ijcns.2017.108B032
Abstract:
This paper proposes a generation method of dithering signal based on Discrete Fourier Transform (DFT), which is not only independent with the input signal but also can decrease the quantization error of the Analog-to-Digital Converter (ADC). A detailed investigation of three typical dithering effects on the quantization error in ADC has been also presented in this paper, to highlight the advantages of the proposed reconstructed dithering signal. The simulation experiment and theoretical analysis illustrate that the reconstructed dithering signal based on DFT can improve the performance of ADC in comparison with traditional typical dithering signal.
A Surfing Concurrence Transaction Model for Key-Value NoSQL Databases  [PDF]
Changqing Li, Jianhua Gu
Journal of Software Engineering and Applications (JSEA) , 2018, DOI: 10.4236/jsea.2018.1110028
Abstract: As more and more application systems related to big data were developed, NoSQL (Not Only SQL) database systems are becoming more and more popular. In order to add transaction features for some NoSQL database systems, many scholars have tried different techniques. Unfortunately, there is a lack of research on Redis’s transaction in the existing literatures. This paper proposes a transaction model for key-value NoSQL databases including Redis to make possible allowing users to access data in the ACID (Atomicity, Consistency, Isolation and Durability) way, and this model is vividly called the surfing concurrence transaction model. The architecture, important features and implementation principle are described in detail. The key algorithms also were given in the form of pseudo program code, and the performance also was evaluated. With the proposed model, the transactions of Key-Value NoSQL databases can be performed in a lock free and MVCC (Multi-Version Concurrency Control) free manner. This is the result of further research on the related topic, which fills the gap ignored by relevant scholars in this field to make a little contribution to the further development of NoSQL technology.
A mutation degree model for the identification of transcriptional regulatory elements
Changqing Zhang, Jin Wang, Xu Hua, Jinggui Fang, Huaiqiu Zhu, Xiang Gao
BMC Bioinformatics , 2011, DOI: 10.1186/1471-2105-12-262
Abstract: A mutation degree model is proposed and a new word counting method is developed for the identification of transcriptional regulatory elements from a set of co-expressed genes. The new method comprises two parts: 1) identifying overrepresented oligo-nucleotides in promoters of co-expressed genes, 2) estimating the conservation of the oligo-nucleotides in promoters of phylogenetically related genes by the mutation degree model. Compared with the performance of other algorithms, our method shows the advantages of low false positive rate and higher specificity, especially the robustness to noisy data. Applying the method to co-expressed gene sets from Arabidopsis, most of known cis-elements were successfully detected. The tool and example are available at http://mcube.nju.edu.cn/jwang/lab/soft/ocw/OCW.html webcite.The mutation degree model proposed in this paper is adapted to phylogenetic data of different qualities, and to a wide range of evolutionary distances. The new word-counting method based on this model has the advantage of better performance in detecting short sequence of cis-elements from co-expressed genes of eukaryotes and is robust to less complete phylogenetic data.Transcriptional regulation is a major step to determine the spatial and temporal activities of genes in eukaryotes. Various stimuli, whether external or internal, activate transcription factors. Then the transcription factors initiate or repress the transcription of target genes by binding to the specific sites (named transcription factor binding sites, TFBSs or cis-elements) embedded in promoter sequences. Therefore, identifying these functional regulatory elements from gene promoters seems to be a promising way to decipher how the gene regulatory network is orchestrated [1,2]. With the availability of huge genomic data and other omics data, as well as the high performance computers, computational strategy has shown the great potential in the discovery and functional characterization of cis-ele
The influence of survivin shRNA on the cell cycle and the invasion of SW480 cells of colorectal carcinoma
Liu Zhonghong, Lin Lianjie, Zheng Changqing, He Ying, Jin Yu, Lin Yan
Journal of Experimental & Clinical Cancer Research , 2008, DOI: 10.1186/1756-9966-27-20
Abstract: A eukaryotic expression vector, PGCH1/Survivin shRNA, a segment sequence of Survivin as target, was created and transfected into colorectal carcinoma cell line SW480 by the non-lipid method. The influence on the Survivin protein was analyzed by Western blotting, while the cell cycle, cell apoptosis were analyzed by flow cytometry, and invasion of the cell was analyzed by Transwell's chamber method.After the transfection of PGCH1/Survivin shRNA, the expression of Survivin protein in SW480 cells was dramatically decreased by 60.68%, in which the cells were stopped at G2/M phase, even though no apoptosis was detected. The number of transmembranous cells of the experimental group, negative control group, and blank control group were 14.46 ± 2.11, 25.12 ± 8.37, and 25.86 ± 7.45, respectively (P <0.05).Survivin shRNA could significantly reduce the expression of Survivin protein and invasion of SW480 cells. Changes in cell cycle were observed, but no apoptosis was induced.Colorectal cancer is one of the most commonly seen, malignant tumors in human, and the incidence rate is gradually increasing year by year. In United States, it was the second reason leading to death caused by malignant tumor, and the number of annual incidence had reached 135,000 people. Currently, combined therapy, which primarily focused on surgical removal, is employed for most cases of colorectal cancer. However, the cost for this combined treatment is relatively higher and more side effects existed. Also, the primary reasons for failed therapy are the localized reoccurrence and hepatic metastasis. Therefore, to cure patients in time, prevention and early detection of localized reoccurrence and hepatic metastasis, as well as screening of high-risk patients and prediction of reoccurrence and metastasis, have significant meaning in improving patient's life quality and survival rate. With the development of molecular biology and genetic engineering, the gene therapy is the research focus for prevention
Synthesis of boron-doped diamond with laser heated diamond anvil cell
WeiWei Zhang,LiangChen Chen,ChangQing Jin,XueJin Wang,YuYing Liu,Jing Liu
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-011-4368-4
Abstract: Boron-doped diamond has been synthesized from graphite mixed with different ratio of B4C at high pressure high temperature (HPHT) using laser heated diamond anvil cell. The starting composition was transformed to diamond compound at pressure ~9 GPa, 2300–2400 K as indicated by the in-situ X-ray diffraction pattern with synchrotron radiation source. Raman spectrum of the recovered specimen from HPHT state confirmed that boron has been doped into diamond lattice.
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