Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2019 ( 27 )

2018 ( 354 )

2017 ( 314 )

2016 ( 303 )

Custom range...

Search Results: 1 - 10 of 25595 matches for " LingYi Dong "
All listed articles are free for downloading (OA Articles)
Page 1 /25595
Display every page Item
A Comparative Study to Understanding about Poetics Based on Natural Language Processing  [PDF]
Lingyi Zhang, Junhui Gao
Open Journal of Modern Linguistics (OJML) , 2017, DOI: 10.4236/ojml.2017.75017
Abstract: This paper tries to find out five poets’ (Thomas Hardy, Wilde, Browning, Yeats, and Tagore) differences and similarities through analyzing their works on nineteenth Century by using natural language understanding technology and word vector model. Firstly, we collect enough poems from these five poets, build five corpus respectively, and calculate their high-frequency words, by using Natural Language Processing method. Then, based on the word vector model, we calculate the word vectors of the five poets’ high-frequency words, and combine the word vectors of each poet into one vector. Finally, we analyze the similarity between the combined word vectors by using the hierarchical clustering method. The result shows that the poems of Hardy, Browning, and Wilde are similar; the poems of Tagore and Yeats are relatively close—but the gap between the two is relatively large. In addition, we evaluate the stability of our approach by altering the word vector dimension, and try to analyze the results of clustering in a literary (poetic) perspective. Yeats and Tagore possessed a kind of mysticism poetics thought, while Hardy, Browning, and Wilde have the elements of realism combined with tragedy and comedy. The results are similar comparing to those we get from the word vector model.
Research on the Interaction between Producer Services and Manufacturing Industry in Shaanxi Province  [PDF]
Lingyi Kong, Xiao Liang
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.85087
Abstract: With the deepening of social division of labor, producer services are gradually separated from manufacturing industry and play a more and more important role in the national economy. In particular, with the rapid development of scientific research, business, law, finance and other industries, the industrial association between the productive service industry and the manufacturing industry becomes more closely. The interactive state between the producer services and manufacturing industry has a direct impact on the industrial upgrading and structural adjustment of all sectors of the national economy, which has become an important way for the economic development of our country in the future. Taking Shaanxi Province as an example, this paper first analyzes the development of producer services and manufacturing in Shaanxi. On this basis, the VAR model is built to analyze the added value of two industries in Shaanxi Province. Finally, according to the empirical results, we put forward relevant countermeasures and suggestions.
BAP31 is frequently overexpressed in patients with primary colorectal cancer and correlates with better prognosis
LingYi Dong,KeWei Jiang,YanBin Zhang,Hui Zhang,HongQing Zhuo,ZhiRong Cui,YingJiang Ye,Shan Wang
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-011-4610-0
Abstract: We previously showed that B cell receptor associated protein 31(BAP31) was significantly upregulated in colorectal cancer compared with normal mucosa epithelia. However, its expression pattern and pathological role in colorectal cancer are not clearly understood. In this study, we investigated whether the expression of BAP31 was associated with the clinicopathological parameters of colorectal cancer. The expression pattern of BAP31 was detected by immunohistochemistry on a tissue microarray in both primary tumor and paired distant normal mucosa samples from 120 consecutive colorectal cancer patients. Furthermore, BAP31 protein expression was also determined in twenty colorectal adenomas and eight liver metastasis samples. There was positive expression of BAP31 in 64.17% of primary tumors and 6.67% in distant normal mucosa (P=0.000). Negative expression of BAP31 was correlated with distant metastasis (P=0.036) and lower tumor differentiation grade (P=0.001). Patients with BAP31-negative expression showed significantly lower overall survival rate (P=0.003) compared to patients with BAP31-positive expression. Our results demonstrate that BAP31 may serve as a candidate prognostic marker in colorectal cancer and negative BAP31 expression may lead to more aggressive invasion of colorectal cancer.
Current progress and prospects of induced pluripotent stem cells
LingYi Chen,Lin Liu
Science China Life Sciences , 2009, DOI: 10.1007/s11427-009-0092-6
Abstract: Induced pluripotent stem (iPS) cells are derived from somatic cells by ectopic expression of few transcription factors. Like embryonic stem (ES) cells, iPS cells are able to self-renew indefinitely and to differentiate into all types of cells in the body. iPS cells hold great promise for regenerative medicine, because iPS cells circumvent not only immunological rejection but also ethical issues. Since the first report on the derivation of iPS cells in 2006, many laboratories all over the world started research on iPS cells and have made significant progress. This paper reviews recent progress in iPS cell research, including the methods to generate iPS cells, the molecular mechanism of reprogramming in the formation of iPS cells, and the potential applications of iPS cells in cell replacement therapy. Current problems that need to be addressed and the prospects for iPS research are also discussed.
Economic Determinants of Happiness
Teng Guo,Lingyi Hu
Statistics , 2011,
Abstract: Many scholars have recently begun to dispute the assumed link between individual wellbeing and economic conditions and the extent to which the latter matters (Easterlin, 1995; Stevenson and Wolfers 2008; Tella and MacCulloch 2008). This dilemma is empirically demonstrated in the Latin America Public Opinion Project (LAPOP, 2011), which surveyed North and Latin America in terms of perceived life satisfaction. Higher measures found in the less developed countries of Brazil, Costa Rica, and Panama than in North America pose an intriguing quandary to traditional economic theory. In light of this predicament this paper aims to construct a sensible measure of the national happiness level for the United States on a year by year basis; and regress this against indicators of the national economy to provide insight into this puzzling enigma between national happiness and economic forces
Current progress and prospects of induced pluripotent stem cells

CHEN LingYi &,Liu Lin,

中国科学C辑(英文版) , 2009,
Predicting DNA methylation status using word composition  [PDF]
Lingyi Lu, Kao Lin, Ziliang Qian, Haipeng Li, Yudong Cai, Yixue Li
Journal of Biomedical Science and Engineering (JBiSE) , 2010, DOI: 10.4236/jbise.2010.37091
Abstract: Background: DNA methylation will influence the gene expression pattern and cause the changes of the genetic functions. Computational analysis of the methylation status for nucleotides can help to explore the underlying reasons for developing methylations. Results: We present a DNA sequence based method to analyze the methylation status of CpG dinucleotides using 5bp (5-mer) DNA fragments – named as the word composition encoding method. The prediction accuracy is 75.16% when all 5bp word compositions are used (totally 45 = 1024). Furthermore, 5-bp DNA fragments/words having the most impact on the methylation status are identified by mRMR (Maximum-Relevant-Minimum-Redundancy) feature selection method. As a result, 58 words are selected, and they are used to build a compact predictor, which achieves 77.45% prediction accuracy. When the word composition encoding method and the feature selection strategy are coupled together, the meaning of these words can be analyzed through their contribution towards the prediction. The biological evidence in the literature supports that the surrounding DNA sequence of the CpG dinucleotides will affect the methylation of the CpG dinucleotides. Conclusions: The main contribution of this paper is to find out and analyze the key DNA words taken from the neighbor-hood of the CpG dinucleotides that are inducing the DNA methylation.

ZHENG Lingyi,JIN Yanping,LI Pengxing,
ZHENG Lingyi
,JIN Yanping,LI Pengxing

金属学报(英文版) , 1996,
QSAR Study of Skin Sensitization Using Local Lymph Node Assay Data
Adam Fedorowicz,Lingyi Zheng,Harshinder Singh,Eugene Demchuk
International Journal of Molecular Sciences , 2004, DOI: 10.3390/i5020056
Abstract: Allergic Contact Dermatitis (ACD) is a common work-related skin disease that often develops as a result of repetitive skin exposures to a sensitizing chemical agent. A variety of experimental tests have been suggested to assess the skin sensitization potential. We applied a method of Quantitative Structure-Activity Relationship (QSAR) to relate measured and calculated physical-chemical properties of chemical compounds to their sensitization potential. Using statistical methods, each of these properties, called molecular descriptors, was tested for its propensity to predict the sensitization potential. A few of the most informative descriptors were subsequently selected to build a model of skin sensitization. In this work sensitization data for the murine Local Lymph Node Assay (LLNA) were used. In principle, LLNA provides a standardized continuous scale suitable for quantitative assessment of skin sensitization. However, at present many LLNA results are still reported on a dichotomous scale, which is consistent with the scale of guinea pig tests, which were widely used in past years. Therefore, in this study only a dichotomous version of the LLNA data was used. To the statistical end, we relied on the logistic regression approach. This approach provides a statistical tool for investigating and predicting skin sensitization that is expressed only in categorical terms of activity and nonactivity. Based on the data of compounds used in this study, our results suggest a QSAR model of ACD that is based on the following descriptors: nDB (number of double bonds), C-003 (number of CHR3 molecular subfragments), GATS6M (autocorrelation coefficient) and HATS6m (GETAWAY descriptor), although the relevance of the identified descriptors to the continuous ACD QSAR has yet to be shown. The proposed QSAR model gives a percentage of positively predicted responses of 83% on the training set of compounds, and in cross validation it correctly identifies 79% of responses.
An efficient method for statistical significance calculation of transcription factor binding sites
Ziliang Qian,Lingyi Lu,Liu Qi,Yixue Li
Bioinformation , 2007,
Abstract: Various statistical models have been developed to describe the DNA binding preference of transcription factors, by which putative transcription factor binding sites (TFBS) can be identified according to scores assigned. Statistical significance of these scores, usually known as the p-value, play a critical role in identification. We developed an efficient algorithm to provide precise calculation of the statistical significance, remarkably enhancing the calculation efficiency by reducing the time complexity from an exponent scale to a linear scale, and successfully extended the application of this algorithm to a wide range of models, from the commonly used position weight matrix models to the complicated Bayesian Network models. Further, we calculated p-values of all transcription factor DNA binding sites recorded in the database, JASPAR, and based on these, we investigated some unseen properties of p-values as a whole, such as the p-value distribution of different models and the p-value variance according to changed scoring schemes. We hope that our algorithm and the result of computational experiments would offer an improved solution to the statistical significance of transcription factor binding sites. The software to implement our method can be downloaded from http://pcal.biosino.org/pCal.html.
Page 1 /25595
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.