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Search Results: 1 - 10 of 126567 matches for " Guorui Li "
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Quantum-Inspired Bee Colony Algorithm  [PDF]
Guorui Li, Mu Sun, Panchi Li
Open Journal of Optimization (OJOp) , 2015, DOI: 10.4236/ojop.2015.43007
Abstract: To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our method, the bees are encoded with the qubits described on the Bloch sphere. The classical bee colony algorithm is used to compute the rotation axes and rotation angles. The Pauli matrices are used to construct the rotation matrices. The evolutionary search is achieved by rotating the qubit about the rotation axis to the target qubit on the Bloch sphere. By measuring with the Pauli matrices, the Bloch coordinates of qubit can be obtained, and the optimization solutions can be presented through the solution space transformation. The proposed method can simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities, which may accelerate the optimization process. The experimental results show that the proposed method is obviously superior to the classical one for some benchmark functions.
Development of a loop-mediated isothermal amplification method to rapidly detect porcine circovirus genotypes 2a and 2b
Qiu Xiaohuo,Li Tian,Zhang Guorui,Cao Jingjing
Virology Journal , 2012, DOI: 10.1186/1743-422x-9-318
Abstract: Background Porcine circovirus type 2 (PCV2), is nowadays associated with a number of diseases known as porcine circovirus-associated diseases (PCVAD), especially postweaning multisystemic wasting syndrome (PMWS). The epidemiological investigation of PCV2 infection was usually conducted by PCR, nested PCR, PCR-RFLP, TaqMan-based assay and nucleotide sequencing. However, there is still no rapid, sensitive and practical method for detecting PCV2 genotypes. As a novel nucleic acid amplification method, the loop-mediated isothermal amplification method (LAMP) has been used to detect a variety of pathogenic microorganisms. Results Herein, a LAMP method is developed to detect the genotypes of PCV2. The diagnostic sensitivity of LAMP is 1 copy/reaction for differentiating genotypes PCV2a and PCV2b. The reaction process was completed at 65°C for 1 hour in a water bath. Cross-reactivity assay shows that this method is specific for PCV2a and PCV2b and no reactive for PCV2c and other swine-origin viruses (i.e. CSFV, PRRSV, BVDV, TGEV and PEDV, etc). Identity between LAMP and nested PCR was 92.3% on 52 field clinical samples. Conclusions LAMP method provides a rapid, sensitive, reliable way to detect PCV2a and PCV2b, and a better means for the large scale investigation of PCV2a and PCV2b infection.
Root exudates of potassium-enrichment genotype grain amaranth and their activation on soil mineral potassium
富钾基因型籽粒苋主要根系分泌物及其对土壤矿物态钾的活化作用

LI Tingxuan,MA Guorui,ZHANG Xizhou,
李廷轩
,马国瑞,张锡洲

应用生态学报 , 2006,
Abstract: With solution culture experiment,this paper studied the effects of two potassium supply levels on the root exudates content and its dynamics of two grain amaranth genotypes(potassium-enrichment K12 and ordinary M9),and the activation of root exudates on soil mineral potassium.The results showed that the root exudation rates of soluble sugar,amino acids and organic acids of these two genotypes were decreased with increasing potassium supply level,which was higher in K12 than in M9.The root exudation capability of the two genotypes was similar under normal potassium supply level,while that of K12 was significant higher than M9 under low potassium supply level.Organic acid was the main root exudate under two potassium supply levels,which was several decuples or hundreds times as much as that of soluble sugar and amino acids.Compared with those at the fortieth day,the exudation rates of soluble sugar,amino acids and organic acids at the fiftieth day decreased rapidly in M9,while decreased slowly in K12.At three growth phases,the contents of soluble sugar,amino acid and organic acid were higher in the root exudate of K12 than in that of M9,and the difference of the two genotypes became significant with time extended.The content of organic acid in root exudate was accounted for >93% in the two genotypes at three growth phases.Soil available potassium content after treated by the root exudates of grain amaranth was higher than that treated by pure water.Under low potassium stress,the content of soil available potassium treated by the root exudates of K12 was higher than that treated by those of M9.
HEURISTIC ALGORITHM FOR MINIMIZING THE NUMBER OF WAVELENGTHS IN VWP OPTICAL NETWORKS
一种求解虚波长路径光网络波长资源优化问题的启发式算法

Zhang Jie,Gu Wanyi,Li Guorui,Xu Daxiong,
张杰
,顾畹仪

光子学报 , 1997,
Abstract: This paper proposes a path accommodation design algorithm applicable to virtual wavelength path networks that heuristically minimize the number of wavelengths required by the realization of optical paths. A new optimal routing strategy based on the maximum probability paths is introduced in the algorithm. At last, the numerical results of a sample network show the effect of the algorithm.
Dimensional reduction method based on factor analysis model for hyperspectral data
因子分析模型的高光谱数据降维方法

Li N,Zhao Huijie,Jia Guorui,
李娜
,赵慧洁,贾国瑞

中国图象图形学报 , 2011,
Abstract: A dimensional reduction method based on the factor analysis model is proposed for hyperspectral data to resolve the problems of high relativity of bands and large volumes of data.The intrinsic dimensions of hyperspectral data can be obtained by our method through further processing,including solving the factor payload matrix, computation of model parameters and rotated matrix,and the estimation of the factor contribution.Less composite factors can be found to replace data of all bands,which can not only represent almost information of original data,but is also factor independent.Push Hyperspectral Imager (PHI) data is used to evaluate the performance of our proposed method.The result illuminates Kappa parameter is improved from 0.744 to 0.821,and all useful information of data is reserved,relativity among bands is removed,and class separability is increased after dimensional reduction.
A Personalized Recommendation Algorithm Based on Associative Sets  [PDF]
Guorui JIANG, Hai QING, Tiyun HUANG
Journal of Service Science and Management (JSSM) , 2009, DOI: 10.4236/jssm.2009.24048
Abstract: During the process of personalized recommendation, some items evaluated by users are performed by accident, in other words, they have little correlation with users’ real preferences. These irrelevant items are equal to noise data, and often interfere with the effectiveness of collaborative filtering. A personalized recommendation algorithm based on Associative Sets is proposed in this paper to solve this problem. It uses frequent item sets to filter out noise data, and makes recommendations according to users’ real preferences, so as to enhance the accuracy of recommending results. Test results have proved the superiority of this algorithm.
Noncoding RNA in Oncogenesis: A New Era of Identifying Key Players
Guorui Deng,Guangchao Sui
International Journal of Molecular Sciences , 2013, DOI: 10.3390/ijms140918319
Abstract: New discoveries and accelerating progresses in the field of noncoding RNAs (ncRNAs) continuously challenges our deep-rooted doctrines in biology and sometimes our imagination. A growing body of evidence indicates that ncRNAs are important players in oncogenesis. While a stunning list of ncRNAs has been discovered, only a small portion of them has been examined for their biological activities and very few have been characterized for the molecular mechanisms of their action. To date, ncRNAs have been shown to regulate a wide range of biological processes, including chromatin remodeling, gene transcription, mRNA translation and protein function. Dysregulation of ncRNAs contributes to the pathogenesis of a variety of cancers and aberrant ncRNA expression has a high potential to be prognostic in some cancers. Thus, a new cancer research era has begun to identify novel key players of ncRNAs in oncogenesis. In this review, we will first discuss the function and regulation of miRNAs, especially focusing on the interplay between miRNAs and several key cancer genes, including p53, PTEN and c-Myc. We will then summarize the research of long ncRNAs (lncRNAs) in cancers. In this part, we will discuss the lncRNAs in four categories based on their activities, including regulating gene expression, acting as miRNA decoys, mediating mRNA translation, and modulating protein activities. At the end, we will also discuss recently unraveled activities of circular RNAs (circRNAs).
Hierarchical Latent Semantic Mapping for Automated Topic Generation
Guorui Zhou,Guang Chen
Computer Science , 2015,
Abstract: Much of information sits in an unprecedented amount of text data. Managing allocation of these large scale text data is an important problem for many areas. Topic modeling performs well in this problem. The traditional generative models (PLSA,LDA) are the state-of-the-art approaches in topic modeling and most recent research on topic generation has been focusing on improving or extending these models. However, results of traditional generative models are sensitive to the number of topics K, which must be specified manually. The problem of generating topics from corpus resembles community detection in networks. Many effective algorithms can automatically detect communities from networks without a manually specified number of the communities. Inspired by these algorithms, in this paper, we propose a novel method named Hierarchical Latent Semantic Mapping (HLSM), which automatically generates topics from corpus. HLSM calculates the association between each pair of words in the latent topic space, then constructs a unipartite network of words with this association and hierarchically generates topics from this network. We apply HLSM to several document collections and the experimental comparisons against several state-of-the-art approaches demonstrate the promising performance.
Effects of cadmium and the combination of cadmium with low molecular weight chitosan on the mRNA expression of metallothionein in the freshwater crab Sinopotamon yangtsekiense
镉对长江华溪蟹金属硫蛋白mRNA表达的诱导及低分子量壳聚糖的联合作用

ZHOU Yanying,LI Ruijin,REN Guorui,WANG Lan,
周妍英
,李瑞金,任国锐,王兰

环境科学学报 , 2011,
Abstract: 采用实时荧光定量PCR法,研究了不同浓度镉(Cd2+)对长江华溪蟹(Sinopotamon yangtsekiense)金属硫蛋白(metallothionein,简称MT)在肝胰腺、鳃、肌肉和心脏中mRNA表达的诱导作用及低分子量壳聚糖(lowmolecular weight chitosan,简称LMWC)的联合作用.镉浓度分别为29、58和87mg.L-1,镉与LMWC的联合作用组分别为58mg.L-1Cd2++20mg.L-1LMWC、58mg.L-1Cd2++40mg.L-1LMWC和58mg.L-1Cd2++80mg.L-1LMWC;处理时间均是4d.结果显示,与对照组相比,在镉胁迫下,长江华溪蟹肝胰腺、鳃和肌肉组织中MTmRNA表达显著增加,而心脏中的变化不显著.在LMWC和镉共同作用下,MTmRNA的表达在肝胰腺和鳃组织中比镉单独作用(58mg.L-1Cd2+)显著下降,而肌肉和心脏中的变化没有统计学意义.镉能诱导长江华溪蟹4种组织中MTmRNA的表达,且具有组织差异性;在LMWC与镉联合作用下,MTmRNA的表达有一定程度的下降.
Quantum Oscillations in Black Phosphorus Two-dimensional Electron Gas
Likai Li,Guo Jun Ye,Vy Tran,Ruixiang Fei,Guorui Chen,Huichao Wang,Jian Wang,Kenji Watanabe,Takashi Taniguchi,Li Yang,Xian Hui Chen,Yuanbo Zhang
Physics , 2014,
Abstract: Two-dimensional electron gases (2DEG) have been an important source of experimental discovery and conceptual development in condensed matter physics for decades. When combined with the unique electronic properties of two-dimensional (2D) crystals, rich new physical phenomena can be probed at the quantum level. Here, we create a new 2DEG in black phosphorus, a recent member of the two-dimensional atomic crystal family, using a gate electric field. We achieve high carrier mobility in black phosphorus 2DEG by placing it on a hexagonal boron nitride substrate (h-BN). This allows us, for the first time, to observe quantum oscillations in this material. The temperature and magnetic field dependence of the oscillations yields crucial information about the system, such as cyclotron mass and lifetime of its charge carriers. Our results, coupled with the fact that black phosphorus possesses anisotropic energy bands with a tunable, direct bandgap, distinguishes black phosphorus 2DEG as a novel system with unique electronic and optoelectronic properties.
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