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213 results on '"Jia, Li-na"'

39. The research on division and comparative of stock bubble evolution stage in China

Author

Kang Erwei, Niu Jing, and Jia Li-na

Subjects
050208 finance, Bubble, 05 social sciences, Stock market bubble, Monetary economics, Stock return, 0502 economics and business, Financial crisis, Economics, Stock market, 050207 economics, Volatility (finance), China, Stock (geology)
Abstract

Academics have a commonality of the evolution stages of stock bubble, the stage includes formation, expansion and burst of bubble, but less research on how to divide into the evolution stages. Based on this background, this paper presents the idea for the division of stock bubble evolution stages by utilizing Monte-Carlo simulating techniques and stock return data. On this basis, it division the stock bubble evolution stages in Shanghai and Shenzhen stock markets. The result shows that stock concentrate area just happened in which stock market bubble full burst in 2007, and fewer stock areas just happened in which notable financial crisis in 2008. In addition, we contrastively analyze the stock market trading characteristics under different evolutionary stages. Our results show there are significant differences for turnover rate, trading volume, return, and volatility under the different evolutionary stage when the level of significance was 5%.

Published
2017

40. Numerical solution for a class of space-time fractional equation by the piecewise reproducing kernel method.

Author

Wang, Yu-Lan, Jia, Li-na, and Zhang, Hao-lu

Subjects
*FRACTIONAL differential equations, *SPACETIME, *PARTIAL differential equations, *EQUATIONS, *CAPUTO fractional derivatives, *ANALYTICAL solutions
Abstract

Due to the non-locality of fractional derivative, the analytical solution and good approximate solution of fractional partial differential equations are usually difficult to get. Reproducing kernel space is a perfect space in studying this type of equations, however the numerical results of equations by using the traditional reproducing kernel method (RKM) isn't very good. Based on this problem, we present the piecewise technique in the reproducing kernel space to solve this type of equations. The focus of this paper is to verify the stability and high accuracy of the present method by comparing the absolute error with traditional RKM and study the effect on absolute error for different values of α. Furthermore, we can study the distribution of entire space at a particular time period. Three numerical experiments are provided to verify the efficiency and stability of the proposed method. Meanwhile, it is tested by experiments that the change of the value of α has little effect on its accuracy. [ABSTRACT FROM AUTHOR]

Published
2019
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47. Excessive reaction, noise and asset price bubble

Author

Hu Wen-xiu, Liu Gang, Niu Jing, and Jia Li-na

Subjects
Physics::Physics and Society, Computer Science::Computer Science and Game Theory, Price bubbles, Physics::Fluid Dynamics, Noise, Computer Science::Computational Engineering, Finance, and Science, Noise trader, Econometrics, Economics, Dividend, Capital asset pricing model, Stock market, Asset (economics), Economic bubble
Abstract

According to the actual situation in Chinese stock market, under the hypothesis condition that noise traders have excessive reaction, this paper studies the influence mechanism of noise traders and their excessive reaction to the asset price bubble by Setting up the stock market risk asset pricing models and the asset price bubble. The research results show that noise trader cognitive deviation and its proportion to asset price bubble formation are positive correlation. And the noise trader excessive reaction to asset price bubbles effects are not the same. When the noise traders have excessive reaction on the dividend of mean value, the influence on excessive reaction to asset price bubbles is very limited, but not to further expansion impact of the asset bubble. In contrast, when excessive reaction expand to a certain degree, excessive reaction restrain the bubbles rise. When the noise traders have excessive response on the mean of cognitive dividend mean, noise traders excessive reaction to asset price bubble was a significant positive correlation.

Published
2015

48. pNNS-Conjugated Chitosan Mediated IGF-1 and miR-140 Overexpression in Articular Chondrocytes Improves Cartilage Repair.

Author

Zhao, Rong-lan, Zhang, Xu-mei, Jia, Li-na, Song, Wei, Sun, Yan-li, Meng, Xiang-ying, and Peng, Xiao-xiang

Subjects
CARTILAGE diseases, CARTILAGE cells, CELL proliferation, ANIMAL experimentation, ARTICULAR cartilage, COLLAGEN, GENE expression, GENE therapy, GENETIC techniques, GLYCOSAMINOGLYCANS, NITRIC oxide, POLYSACCHARIDES, PROTEINS, PROTEOLYTIC enzymes, RABBITS, SOMATOMEDIN, MICRORNA, THERAPEUTICS, PHYSIOLOGY
Abstract

The aim of the present study was to investigate the effects of phosphorylatable nucleus localization signal linked nucleic kinase substrate short peptide (NNSp)-conjugated chitosan (NNSp-CS) mediated miR-140 and IGF-1 in both rabbit chondrocytes and cartilage defects model. NNSp-CS was combined with pBudCE4.1-IGF-1, pBudCE4.1-miR-140, and negative control pBudCE4.1 to form pDNA/NNSp-CS complexes. Then these complexes were transfected into chondrocytes or injected intra-articularly into the knee joints. High levels of IGF-1 and miR-140 expression were detected both in vitro and in vivo. Compared with pBudCE4.1 group, in vitro, the transgenic groups significantly promoted chondrocyte proliferation, increased glycosaminoglycan (GAG) synthesis, and ACAN, COL2A1, and TIMP-1 levels, and reduced the levels of nitric oxide (NO), MMP-13, and ADAMTS-5. In vivo, the exogenous genes enhanced COL2A1, ACAN, and TIMP-1 expression in cartilage and reduced cartilage Mankin score and the contents of NO, IL-1β, TNF-α, and GAG contents in synovial fluid of rabbits, MMP-13, ADAMTS-5, COL1A2, and COL10A1 levels in cartilage. Double gene combination showed better results than single gene. This study indicate that NNSp-CS is a better gene delivery vehicle in gene therapy for cartilage defects and that miR-140 combination IGF-1 transfection has better biologic effects on cartilage defects. [ABSTRACT FROM AUTHOR]

Published
2019
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