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Search Results: 1 - 10 of 104238 matches for " Junying Zhang "
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A Method of Realizing Suboptimal Control to Des

Zhang Junying,

自动化学报 , 1992,
Abstract: To realize an optimal control of a class ofDES (Discrete-Event-System), this paper analyses' the causes that affect the operation efficiency, presents a target for optimal control, and,according to the combination of local optimal and global optimal control, suggests an effective suboptimal control method. This method is analysed and proved to be not complex. The computer simulations indicate that the closed-loop DES has a process from dynamic to steady state. However, only when the producing process' is programmable, the whole efficiency can be better as the process continues.
Gene association study with SVM, MLP and cross validation for diagnosis of diseases

Junying Zhang,Shenling Liu,Yue Wang,

自然科学进展 , 2008,
Abstract: Gene association study is one of the major challenges of biochip technology both for gene diagnosis where only a gene subset is responsible to some diseases, and for treatment of curse of dimensionality which occurs especially in DNA microarray datasets where there are more than thousands of genes and only a few number of experiments (samples). This paper presents a gene selection method by training linear support vector machine (SVM)/nonlinear MLP (multi-layer perceptron) classifiers and testing them with cross validation for finding a gene subset which is optimal/suboptimal for diagnosis of binary/multiple disease types. Genes are selected with linear SVM classifier for the diagnosis of each binary disease types pair and tested by leave-one-out cross validation; then, genes in the gene subset initialized by the union of them are deleted one by one by removing the gene which brings the greatest decrease of the generalization power, for samples, on the gene subset after removal, where generalization is measured by training MLPs with leave-one-out and leave-4-out cross validations. The proposed method was tested with experiments on real DNA microarray MIT data and NCI data. The result shows that it outperforms conventional SNR method in separability of the data with expression levels on selected genes. For real DNA microarray MIT/NCI data, which is composed of 7129/2308 effective genes with only 72/64 labeled samples belonging to 2/4 disease classes, only 11/6 genes are selected to be diagnostic genes. The selected genes are tested by classification of samples on these genes with SVM/MLP with leave-one-out/both leave-one-out and leave-4-out cross validations. The result of no misclassification indicates that the selected genes can be really considered as diagnostic genes for the diagnosis of the corresponding diseases.
Room Temperature Ferromagnetism of Ni-doped SnO2 System
Junying Zhang,Qu Yun,Qianghong Wang
Modern Applied Science , 2010, DOI: 10.5539/mas.v4n11p124
Abstract: A series of Sn1-xNixO2 films were fabricated by sol-gel method. All samples have pure rutile structure and exhibit room temperature ferromagnetism (RTFM). Magnetic moment per Ni ion decreases with the increase of Ni doping because antiferromagnetic super-exchange interaction takes place in the nearest neighbour Ni2+ ions for the samples with high x. The results of the annealing at oxidizing and reducing atmosphere show oxygen vacancies play a crucial role in producing ferromagnetism. This result supports that the origin of RTFM can be explained with Bound magnetic polaron (BMP) model.
Cloning, Sequencing and Analysis of Melatonin Receptor Subtype MT1 in Hypothalamus-Pituitary-Gonadal Axis and Pineal of Female Bactrian Camel
Hu Junjie,Zhang Yong,Wang Junying,Zhao Xingxu,Zhang Hairong
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.470.474
Abstract: It is well known that melatonin is a coordinating signal for mammalian reproduction. In order to confirm the presence of melatonin receptors in hypothalamus-pituitary-gonadal axis and pineal of female Bactrian camel, the researchers used a Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) procedure to examine receptor MT1 expression. The length of MT1 gene was 452 bp. RT-PCR assaying revealed the presence of the mt1 (Mel1a) melatonin receptor subtype in reproduction axis and pineal which were obtained from the slaughterhouse in the Ningxia Autonomous Region, China. Sequence has been confirmed a high identity (above 85%) with melatonin receptor MT1 of other mammal known in GenBank. Comparing with other tissue s sequences, one base substitution changed the 108th TTC codon (encoding Phenylalanine) to TAC (Tyrosine) on hypothalamus. Although, there are base substitutions in pineal s gene, encoded amino acid are coincident with pituitary and ovary. The current results, the expression of MT1 receptor mRNA in brain and ovary, suggest that melatonin regulate reproduction function through not only neuroendocrine but also directly acting on the ovary in Bactrian camel.
Comparative Analysis of Methods for Identifying Recurrent Copy Number Alterations in Cancer
Xiguo Yuan, Junying Zhang, Shengli Zhang, Guoqiang Yu, Yue Wang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0052516
Abstract: Recurrent copy number alterations (CNAs) play an important role in cancer genesis. While a number of computational methods have been proposed for identifying such CNAs, their relative merits remain largely unknown in practice since very few efforts have been focused on comparative analysis of the methods. To facilitate studies of recurrent CNA identification in cancer genome, it is imperative to conduct a comprehensive comparison of performance and limitations among existing methods. In this paper, six representative methods proposed in the latest six years are compared. These include one-stage and two-stage approaches, working with raw intensity ratio data and discretized data respectively. They are based on various techniques such as kernel regression, correlation matrix diagonal segmentation, semi-parametric permutation and cyclic permutation schemes. We explore multiple criteria including type I error rate, detection power, Receiver Operating Characteristics (ROC) curve and the area under curve (AUC), and computational complexity, to evaluate performance of the methods under multiple simulation scenarios. We also characterize their abilities on applications to two real datasets obtained from cancers with lung adenocarcinoma and glioblastoma. This comparison study reveals general characteristics of the existing methods for identifying recurrent CNAs, and further provides new insights into their strengths and weaknesses. It is believed helpful to accelerate the development of novel and improved methods.
Adaptive Affinity Propagation Clustering
Kaijun Wang,Junying Zhang,Dan Li,Xinna Zhang,Tao Guo
Computer Science , 2008,
Abstract: Affinity propagation clustering (AP) has two limitations: it is hard to know what value of parameter 'preference' can yield an optimal clustering solution, and oscillations cannot be eliminated automatically if occur. The adaptive AP method is proposed to overcome these limitations, including adaptive scanning of preferences to search space of the number of clusters for finding the optimal clustering solution, adaptive adjustment of damping factors to eliminate oscillations, and adaptive escaping from oscillations when the damping adjustment technique fails. Experimental results on simulated and real data sets show that the adaptive AP is effective and can outperform AP in quality of clustering results.
Research Advance in the Efficacy and Mechanism of Qing Fei Xiao Yan Wan for the Treatment of Respiratory Diseases  [PDF]
Junying Ding, Qingquan Liu
Modern Research in Inflammation (MRI) , 2014, DOI: 10.4236/mri.2014.33014

Qing Fei Xiao Yan Wan had been incorporated into the existing “Chinese Pharmacopoeia”, protected by patents. The manufacturing process of it was scientific and its compatibility was reasonable. It was also shown by clinical trials that the efficacy is exact. Clinical trials and experiment studies had confirmed the efficacy and some mechanism for the treatment of respiratory diseases, which were summaried in this paper. Combined with the experimental results (published in another paper), the other prospect application was further discussed.

Pattern Expression Nonnegative Matrix Factorization: Algorithm and Applications to Blind Source Separation
Junying Zhang,Le Wei,Xuerong Feng,Zhen Ma,Yue Wang
Computational Intelligence and Neuroscience , 2008, DOI: 10.1155/2008/168769
Abstract: Independent component analysis (ICA) is a widely applicable and effective approach in blind source separation (BSS), with limitations that sources are statistically independent. However, more common situation is blind source separation for nonnegative linear model (NNLM) where the observations are nonnegative linear combinations of nonnegative sources, and the sources may be statistically dependent. We propose a pattern expression nonnegative matrix factorization (PE-NMF) approach from the view point of using basis vectors most effectively to express patterns. Two regularization or penalty terms are introduced to be added to the original loss function of a standard nonnegative matrix factorization (NMF) for effective expression of patterns with basis vectors in the PE-NMF. Learning algorithm is presented, and the convergence of the algorithm is proved theoretically. Three illustrative examples on blind source separation including heterogeneity correction for gene microarray data indicate that the sources can be successfully recovered with the proposed PE-NMF when the two parameters can be suitably chosen from prior knowledge of the problem.
Crystallization kinetics of sea-salt aerosols studied by high-speed photography
ZhengGang Qian,Feng Wang,YuXia Zheng,JunYing Yu,YunHong Zhang
Chinese Science Bulletin , 2012, DOI: 10.1007/s11434-011-4907-z
Abstract: Morphological changes with decreasing relative humidity (RH) of supersaturated sea-salt aerosol droplets on a quartz substrate were observed using a high-speed video-camera. Stable gypsum (CaSO4·2H2O) or the metastable hemihydrate (CaSO4·0.5H2O) were precipitated as the RH decreased. The dynamic process of crystal growth under steady-state humidity was studied by controlling the RH; the metastable hemihydrate was precipitated at 70.5%–77.1% RH, and the apparent crystal growth rate was between 1.42 and 2.33 μm3/s. Stable gypsum was formed at 80.7%–82.2% RH, and the apparent crystal growth rate was between 0.70 and 0.81 μm3/s.
A new method for ash melthod thermo-analysis based on mineral quantity
YongChun Zhao,JunYing Zhang,XinYu Shao,ChuGuang Zheng
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-011-4463-6
Abstract: Ash deposition has a major impact on safe and economic operation of coal-fired boiler. A new method for ash melting thermo-analysis based on X-ray diffraction mineral quantitative analysis was developed; the classical thermal analysis theory was used to describe the dynamic behavior of ash melting. The low-temperature ash melting process curve was acquired. Compared with the conventional method of ash fusibility, the new method of ash melting characteristic curve reflects the ash melting dynamic better. The ash melting characteristic curve reveals the multi-stage reaction process of minerals melting, explains the gradual increase of mineral melting process in theory.
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