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Search Results: 1 - 10 of 9549 matches for " Weiqiao Zeng "
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Duality between quantum and classical dynamics for integrable billiards
W. T. Lu,Weiqiao Zeng,S. Sridhar
Physics , 2006, DOI: 10.1103/PhysRevE.73.046201
Abstract: We establish a duality between the quantum wave vector spectrum and the eigenmodes of the classical Liouvillian dynamics for integrable billiards. Signatures of the classical eigenmodes appear as peaks in the correlation function of the quantum wave vector spectrum. A semiclassical derivation and numerical calculations are presented in support of the results. These classical eigenmodes can be observed in physical experiments through the auto-correlation of the transmission coefficient of waves in quantum billiards. Exact classical trace formulas of the resolvent are derived for the rectangle, equilateral triangle, and circle billiards. We also establish a correspondence between the classical periodic orbit length spectrum and the quantum spectrum for integrable polygonal billiards.
Neuroprotective Effects of Ischemic Preconditioning on Global Brain Ischemia through Up-Regulation of Acid-Sensing Ion Channel 2a
Yifeng Miao,Weiqiao Zhang,Yuchang Lin,Xiaojie Lu,Yongming Qiu
International Journal of Molecular Sciences , 2010, DOI: 10.3390/ijms11010140
Abstract: Transient forebrain or global ischemia induces cell death in vulnerable CA1 pyramidal neurons. A brief period of ischemia, i.e., ischemic preconditioning, affords CA1 neurons robust protection against a subsequent, more prolonged ischemic challenge. Using the four-vessel occlusion model, we established an ischemic preconditioning model in which rodents were subjected to 3 min of sublethal ischemia 48 h before a 15 min lethal ischemia. We showed that preconditioning attenuated the ischemia-induced neural cell death and DNA fragmentation in the hippocampal CA1 region. RT-PCR and western blot analysis showed that preconditioning prior to an ischemic insult significantly increased ASIC 2a mRNA and protein expression in comparison to the ischemic insult alone (p < 0.01). These findings implicate a new role of ASIC 2a on endogenous neuroprotection from ischemic insult.

Liu Li,Jin Weiqiao,

生物化学与生物物理进展 , 1990,
Abstract: 本实验用 60Coγ线照射正常人新鲜全血,观察电离辐射对多形核白细胞(PMN)释放超氧化物阴离子自由基(O2-·)的影响,以及人血甲2巨球蛋白(α2M)制剂对辐射引起的PMN释放O2-·的作用。结果表明:正常人新鲜全血照射(5-20Gy)后1h,PMN释放O2-·的量较不照射组增高(P<0.01),红细胞中超氧化物歧化酶(SOD)的活力较不照射组降低(P<0.01)。照前1h加入人血α2M制剂(每ml全血中加入138.5单位)能有效地降低PMN的O2-·释放量,提高红细胞中SOD的活力。离体实验结果提示α2M治疗辐射损伤作用可能与其抑制过多的O2-·产生有关。
Study on the Development of the Chip Information Industry Based on Moore’s Law  [PDF]
Guowang Zeng, Shihong Zeng
Journal of Computer and Communications (JCC) , 2017, DOI: 10.4236/jcc.2017.514004
Abstract: Chips are the carriers of ICs (integrated circuits). As a result of design, manufacturing, and packaging and testing processes, chips are typically wholly independent entities intended for immediate use. According to known data, one unit of chip output can drive up to ten units of output in the electronic information industry and 100 units of GDP (Gross Domestic Product). The Chip Information Industry is a strategic industry in most developed countries in Europe and North America. The development of the Chip Information Industry is related to national economies and personal livelihoods. Moore discovered a certain trend after analyzing data: in general, every newly produced chip has twice the capacity of the previous generation, and it takes 18 to 24 months for the next generation to be subsequently invented. This trend has come to be known as Moore’s Law. It applies not only to the development of memory chips but also to the evolutionary paths of processor capability and disk drive storage capacity. Moore’s Law has become the basis of performance prediction in several industries. However, since 2011, the size of silicon transistors has been approaching its physical limit at the atomic level. Due to the nature of silicon, additional breakthroughs in the running speed and performance of silicon transistors are severely limited. Elevated temperature and leakage are the two main sources that invalidate Moore’s Law. To counter these issues, This paper analyzes specific problems challenges in the Chip Information Industry, including the development of carbon nanotube chips and fierce competition in the international Chip Information Industry. In addition, this paper undertakes a critical analysis of the Chinese Chip Information Industry and countermeasures to Chinese Chip Information Industry development.
Involvement of Glutamate Transporter-1 in Neuroprotection against Global Brain Ischemia-Reperfusion Injury Induced by Postconditioning in Rats
Weiqiao Zhang,Yifeng Miao,Sanquan Zhou,Baofeng Wang,Qizhong Luo,Yongming Qiu
International Journal of Molecular Sciences , 2010, DOI: 10.3390/ijms11114407
Abstract: Ischemic postconditioning refers to several transient reperfusion and ischemia cycles after an ischemic event and before a long duration of reperfusion. The procedure produces neuroprotective effects. The mechanisms underlying these neuroprotective effects are poorly understood. In this study, we found that most neurons in the CA1 region died after 10 minutes of ischemia and is followed by 72 hours of reperfusion. However, brain ischemic postconditioning (six cycles of 10 s/10 s reperfusion/re-occlusion) signi?cantly reduced neuronal death. Signi?cant up-regulation of Glutamate transporter-1 was found after 3, 6, 24, 72 hours of reperfusion. The present study showed that ischemic postconditioning decreases cell death and that upregulation of GLT-1 expression may play an important role on this effect.
Inferring network topology via the propagation process
An Zeng
Computer Science , 2013, DOI: 10.1088/1742-5468/2013/11/P11010
Abstract: Inferring the network topology from the dynamics is a fundamental problem with wide applications in geology, biology and even counter-terrorism. Based on the propagation process, we present a simple method to uncover the network topology. The numerical simulation on artificial networks shows that our method enjoys a high accuracy in inferring the network topology. We find the infection rate in the propagation process significantly influences the accuracy, and each network is corresponding to an optimal infection rate. Moreover, the method generally works better in large networks. These finding are confirmed in both real social and nonsocial networks. Finally, the method is extended to directed networks and a similarity measure specific for directed networks is designed.
Two Theorems about Nilpotent Subgroup  [PDF]
Lijiang Zeng
Applied Mathematics (AM) , 2011, DOI: 10.4236/am.2011.25074
Abstract: In the paper, we introduce some concepts and notations of Hall π-subgroup etc, and prove some properties about finite p-group, nilpotent group and Sylow p-subgroup. Finally, we have proved two interesting theorems about nilpotent subgroup.
Foreign Exchange Reserves Demand Model Based on Chinese Government Utility Maximization and Analysis of Chinese Foreign Exchange Reserves  [PDF]
Shihong Zeng
Modern Economy (ME) , 2011, DOI: 10.4236/me.2011.23039
Abstract: At the end of 2010 China’s foreign exchange reserve reached $2847.34 billion, the author designs the maximum government utility function when consider the China government buys a part foreign exchange if company earns, it means that the China government will increase Ren-Min-Bi Yuan. And it will cause inflation. The inflation will cause disutility to government. Finally it gets the optimal fuction. VAR Regress finds the fitted value and actual value of foreign exchange reserves is nearly equal within 99.8%. The thesis gets the long term equilibrium relation of the nature logarithm of variables by VEC model, which are foreign exchange reserves, standard error of export, marginal propensity to import, the opportunity cost for foreign exchange reserves, marginal output to export. Using the sample datas in China 1980-2006 and VEC, we can find that (1) the government-holding foreign exchange reserves has positive correlation with the export standard error, (2) the government-holding foreign exchange reserves has positive correlation with the marginal propensity to import. The data and regression method are all different, but all have the positive correlation between the foreign exchange reserves and export standard error.
Inner Product Laplacian Embedding Based on Semidefinite Programming  [PDF]
Xianhua Zeng
Journal of Signal and Information Processing (JSIP) , 2011, DOI: 10.4236/jsip.2011.23027
Abstract: This paper proposes an inner product Laplacian embedding algorithm based on semi-definite programming, named as IPLE algorithm. The new algorithm learns a geodesic distance-based kernel matrix by using semi-definite programming under the constraints of local contraction. The criterion function is to make the neighborhood points on manifold as close as possible while the geodesic distances between those distant points are preserved. The IPLE algorithm sufficiently integrates the advantages of LE, ISOMAP and MVU algorithms. The comparison experiments on two image datasets from COIL-20 images and USPS handwritten digit images are performed by applying LE, ISOMAP, MVU and the proposed IPLE. Experimental results show that the intrinsic low-dimensional coordinates obtained by our algorithm preserve more information according to the fraction of the dominant eigenvalues and can obtain the better comprehensive performance in clustering and manifold structure.
Bank Non-Performing Loans (NPLS): A Dynamic Model and Analysis in China  [PDF]
Shihong Zeng
Modern Economy (ME) , 2012, DOI: 10.4236/me.2012.31014
Abstract: In this paper we report on a utility function (loss function) and model that we designed by using optimal control theory based on previous studies. we found that: (1) the Hamiltonian multiplier of the bank NPLs growth rate in the model was obtained using the negative derivitive of the utility (defined as loan function minus non-performing loan function) with respect to the NPLs multiplied by a factor which expresses the rate of change in NPLs over time with respect to the NPLs, the formula is λN=(1/δ)(-vmNm-1)=(1/δ)U'; (2) the model determines the equilibrium value of the saddle point of the bank NPLs; (3) the model can explain the NPLS phenomenon in the Chinese banking system as mainly significant in the state owned banks (SOBS); (4) The paper supports the following hypothesis by considering the situation in China: the equilibrium value of the bank NPLs is dependent on micro-economic factors but influenced by macro-economic factors.
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