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Search Results: 1 - 10 of 28779 matches for " Lijun Ma "
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The Benz theorem and Aleksandrov problem for preserving distance mapping
Ma Yumei,Liu Lijun
International Mathematical Forum , 2012,
Abstract:
Existence of Global Solution of the Cauchy Problem for the Relativistic Boltzmann Equation with Hard Interactions
Zhenglu Jiang,Lijun Ma
Physics , 2008,
Abstract: By using the DiPerna and Lions techniques for the nonrelativistic Boltzmann equation, it is shown that there exists a global mild solution to the Cauchy problem for the relativistic Boltzmann equation with the assumptions of the relativistic scattering cross section including some relativistic hard interactions and the initial data satifying finite mass, ``inertia'', energy and entropy.
An approximation problems on L_2(R) by wavelet neural network
Ma Yumei,Nan Dong,Liu Lijun
International Mathematical Forum , 2012,
Abstract:
Stem cell therapy for idiopathic pulmonary fibrosis: How far are we from the bench to the bedside?  [PDF]
Zheng Wang, Xiaoju Zhang, Yi Kang, Yanli Zeng, Hongmei Liu, Xiaoqian Chen, Lijun Ma
Journal of Biomedical Science and Engineering (JBiSE) , 2013, DOI: 10.4236/jbise.2013.68A2004
Abstract: Idiopathic pulmonary fibrosis (IPF) is characterized by exuberant apoptosis and inadequate regeneration of lung parenchyma cells. Intratracheal alveolar type II epithelial cell instillation alleviates lung inflammation and fibrosis. Resident lung epithelial stem cells, as well as exogenous mesenchymal stem cells, are capable of differentiating into lung epithelial cells and repair the injured lung. It is thus supposed that, either engraftment of exogenous stem cells, or methods facilitating endogenous lung stem cell proliferation, are promising treatments for IPF, a devastating disease. Arrays of cellular and animal studies have shown the potential of stem cells in alleviating experimental lung fibrosis. Moreover, clinical trials have been launched to investigate the potentials of cell-based therapy in IPF patients. We intend to discuss the newest advances on stem cell therapy in pulmonary fibrosis, particularly the advantages, promises, and possible hurdles to pass from the successes in laboratory experiments to the eventual clinical applications.
Bragg-Grating Enhanced Narrow-Band Spontaneous Parametric Down Conversion
Li Yan,Lijun Ma,Xiao Tang
Physics , 2009, DOI: 10.1364/OE.18.005957
Abstract: We propose a new method to narrow the linewidth of entangled photons generated from spontaneous parametric down conversion (SPDC). An internal Bragg grating is incorporated onto a nonlinear optical crystal waveguide. We study theoretically the spectral characteristics of SPDC under two Bragg grating structures. We show that using the Bragg grating with a midway pi-phase shifter, it is a promising way to generate narrow-line entangled photons.
Simulation Analysis of Flow Characteristics in the Vortex Diode with Double Tangential Tube  [PDF]
Lijun Zhang, Yuelai Dai, Yulei Li, Qun Wang, Xiaoyu Jin, Lan Ma, Wentao Huang
Open Journal of Modelling and Simulation (OJMSi) , 2017, DOI: 10.4236/ojmsi.2017.53013
Abstract: The paper analyzed flow characteristics in vortex diode with double tangential tube by numerical simulation. Compared to traditional vortex diode with one tangential tube, the structure of double tangential tube can reduce the forward resistance and improve overall performance. The symmetrical design adopted in vortex diode with double tangential tube; the internal flow field in chamber showed symmetrical distribution in the reverse flow, which can improve the flow stability and accelerate the convergence speed in simulation.
Research on the Geological Sourcing of Raohe Honey by Inductively Coupled Plasma Mass Spectrometry with Primary Composite Analysis and Forecasting Models  [PDF]
Lijun Mao
American Journal of Analytical Chemistry (AJAC) , 2015, DOI: 10.4236/ajac.2015.65046
Abstract: Raohe honey (Honey in Raohe) is the only product which has obtained China’s national geographical mark for honey; however, it is always counterfeited by some producers due to its excellent quality. In this research, Raohe honey was identified by geographical sourcing, where the detection on 166 Raohe honey samples and 31 non-Raohe honey samples was conducted with Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Additionally, the method of Primary Composite Analysis accomplished dimensionality reduction by transforming the abundance ratios variables of 13 isotopes to 4 primary composites, and could explain 91.17% of the total variables. There were five models: Decision Tree, Naive Bayes, Neural Network, Partial Least Square Discriminate and Support Vector Machine, built on the four new variables of primary composites with the Agilent MPP Software. The validation of the models was performed with 11 Raohe honey samples and 5 non-Raohe honey samples randomly selected. The accuracies of the Decision Tree and Support Vector Machine models were both 93.97%, and those of the Naive Bayes and Neural Network models were both 87.5%, while the contribution rate of the Partial Least Square Discriminate model was only 75%. It was concluded that the Decision Tree and Support Vector Machine models could be used for indentifying Raohe honey, and the Naive Bayes and Neural Network models could work as references, while the Partial Least Square Discriminate model was not suitable for identifying Raohe honey.
Study on the Seismogenic Mechanism of the Earthquake Mw6.9 in 2014 in the Aegean Sea Seismic Cone  [PDF]
Lijun Chen
International Journal of Geosciences (IJG) , 2016, DOI: 10.4236/ijg.2016.75052
Abstract: In accordance with the Seismo-Geothermics theory about methods of intracrustal strong earthquake and volcano prediction, we use the ANSS earthquake catalogue from the Northern California earthquake data center and the EMSC earthquake catalogue from the European-Mediterranean Seismological Centre to study the seismic activities of the Turkish Branch Seismic Cone in the Mediterranean Seismic Cone and the following Aegean Sea Seismic Cone, and show reproduction through graphics and animation, the seismogenic process and seismogenic mechanism of the earthquake Mw6.9 on May 24,2014 innorthern Aegean Sea. It was concluded that the energy of strong earthquake of magnitude around7 inAegean Seawas probably from energy transfer and accumulation in deep mantle and incentive lithosphere in the way of wave pattern, and then the strong earthquake occurs suddenly in search of the weak parts of the surface structure. The purpose of this paper is to open a hole in the traditional seismic genesis, and it is beneficial to the further research on the theory and method of earthquake prediction. It is our first attempt to study this case and it needs further examination. In this paper, we divide the Turkish Branch Seismic Cone of the Mediterranean Seismic Cone into 4 tertiary seismic cones, and we show a preliminary seismo-tectonic model of Aegean region. It will be conducive to seismic monitoring and earthquake prediction research inGreece,Turkey,RomaniaandPolandregions. At present, the world’s earthquake prediction has little effect, and it even tends to be not cognitive. Innovative thinking is the only way out.
Searching Mechanism for Net Coursewave
网络课件检索机制

Ma Lijun Huang Tiejun,
马立君
,黄铁军

现代图书情报技术 , 2005,
Abstract: This paper introduces several interrelated concepts and several searching technologies,adopt several searching mechanisms in Educational Resources Management System(ERMS) according to characteristic of net coursewave,and analyses developing tendency of searching mechanism.
A Novel Fast Solver for Poisson's Equation with Neumann Boundary Condition
Zu-Hui Ma;Weng Cho Chew;Lijun Jiang
PIER , 2013, DOI: 10.2528/PIER12112010
Abstract: In this paper, we present a novel fast method to solve Poisson's equation in an arbitrary two dimensional region with Neumann boundary condition, which are frequently encountered in solving electrostatic boundary problems. The basic idea is to solve the original Poisson's equation by a two-step procedure. In the first stage, we expand the electric field of interest by a set of tree basis functions and solve it with a fast tree solver in O() operations. The field such obtained, however, fails to expand the exact field because the tree basis is not curl-free. Despite of this, we can retrieve the correct electric field by purging the divergence-free field. Next, for the second stage, we find the potential distribution rapidly with a same fast solution of O() complexity. As a result, the proposed method dramatically reduces solution time compared with traditional FEM with iterative method. In addition, it is the first time that the loop-tree decomposition technique has been introduced to develop fast Poisson solvers. Numerical examples including electrostatic simulations are presented to demonstrate the efficiency of the proposed method.
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