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Search Results: 1 - 10 of 120155 matches for " Junying Wang "
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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.
Learning classifier systems with memory condition to solve non-Markov problems
Zhaoxiang Zang,Dehua Li,Junying Wang
Computer Science , 2012, DOI: 10.1007/s00500-014-1357-y
Abstract: In the family of Learning Classifier Systems, the classifier system XCS has been successfully used for many applications. However, the standard XCS has no memory mechanism and can only learn optimal policy in Markov environments, where the optimal action is determined solely by the state of current sensory input. In practice, most environments are partially observable environments on agent's sensation, which are also known as non-Markov environments. Within these environments, XCS either fails, or only develops a suboptimal policy, since it has no memory. In this work, we develop a new classifier system based on XCS to tackle this problem. It adds an internal message list to XCS as the memory list to record input sensation history, and extends a small number of classifiers with memory conditions. The classifier's memory condition, as a foothold to disambiguate non-Markov states, is used to sense a specified element in the memory list. Besides, a detection method is employed to recognize non-Markov states in environments, to avoid these states controlling over classifiers' memory conditions. Furthermore, four sets of different complex maze environments have been tested by the proposed method. Experimental results show that our system is one of the best techniques to solve partially observable environments, compared with some well-known classifier systems proposed for these environments.
Multiuser underwater acoustic communication using single-element virtual time reversal mirror
JingWei Yin,YiLin Wang,Lei Wang,JunYing Hui
Chinese Science Bulletin , 2009, DOI: 10.1007/s11434-009-0155-x
Abstract: Pattern time delay shift coding (PDS) scheme is introduced and combined with spread spectrum technique called SS-PDS for short which is power-saving and competent for long-range underwater acoustic networks. Single-element virtual time reversal mirror (VTRM) is presented in this paper and validated by the lake trial results. Employing single-element VTRM in multiuser communication system based on SS-PDS can separate different users’ information simultaneously at master node as indicated in the simulation results.
STRENGTH-DUCTILITY AND γ''PRECIPITATES IN Ni-BASE ALLOYS
WANG Zhixing,XIE Shishu,LU Junying,WANG Lei,YANG Hongcai
金属学报(英文版) , 1995,
Abstract: STRENGTH-DUCTILITYANDγ'PRECIPITATESINNi-BASEALLOYS¥WANGZhixing;XIEShishu;LUJunying;WANGLei;YANGHongcai(NortheasternUniversity...
Multiuser underwater acoustic communication using single-element virtual time reversal mirror

JingWei Yin,YiLin Wang,Lei Wang,JunYing Hui,

科学通报(英文版) , 2009,
Abstract: Pattern time delay shift coding (PDS) scheme is introduced and combined with spread spectrum technique called SS-PDS for short which is power-saving and competent for long-range underwater acoustic networks. Single-element virtual time reversal mirror (VTRM) is presented in this paper and validated by the lake trial results. Employing single-element VTRM in multiuser communication system based on SS-PDS can separate different users’ information simultaneously at master node as indicated in the simulation results. Supported by the National Natural Science Foundation of China (Grant No. 60802060) and Research Fund for the Doctoral Program of Higher Education (Grant No. 200802171061)
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
Abstract:

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.
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.
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