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Search Results: 1 - 10 of 5219 matches for " Xiaoping Miao "
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Thermal evolution of rotating hybrid stars
kang Miao,Zheng Xiaoping
Physics , 2006, DOI: 10.1111/j.1365-2966.2006.11416.x
Abstract: As a neutron star spins down, the nuclear matter continuously is converted into quark matter due to the core density increase and then latent heat is released. We have investigated the thermal evolution of neutron stars undergoing such deconfinement phase transition. We have taken into account the conversion in the frame of the general theory of relativity. The released energy has been estimated as a function of change rate of deconfinement baryon number. Numerical solutions to cooling equation are obtained to be very different from the without heating effect. The results show that neutron stars may be heated to higher temperature which is well-matched with pulsar's data despite onset of fast cooling in neutron stars with quark matter core. It is also found that heating effect has magnetic field strength dependence. This feature could be particularly interesting for high temperature of low-field millisecond pulsar at late stage. The high temperature could fit the observed temperature for PSR J0437-4715.
"Latent heat" of first-order varying pressure transitions
Zheng Xiaoping,Zhang Li,Zhou Xia,Kang Miao
Physics , 2008,
Abstract: We consider the energy release associated with first-order transition by Gibbs construction and present such energy release as an accumulation of a series of tiny binding energy differences between over-compressed states and stable ones. Universal formulae for the energy release from one homogeneous phase to the other is given. We find the energy release per converted particle varies with number density. As an example, the deconfinement phase transition at supranuclear densities is discussed in detail. The mean energy release per converted baryon is of order 0.1MeV in RMF theory and MIT bag descriptions for hadronic matter and strange quark matter for a wider parameter region.
Bulk viscosity of strange quark matter in density-dependent quark mass model and dissipation of r-modes in strange stars
Zheng Xiaoping,Liu Xuewen,Kang Miao,Yang Shuhua
Physics , 2003, DOI: 10.1103/PhysRevC.70.015803
Abstract: We study the bulk viscosity of strange quark matter(SQM) in density dependent quark mass model(DDQM) under the background of self-consistent thermodynamics. The correct formulae, with which the viscosity can be evaluated, are derived. We also find that the viscosity in DDQM can be higher by 2 to 3 orders of magnitude than MIT bag model. We calculate the damping time scales due to viscosity coupled to r-modes. The numerical results show the time scale can't be shorter than $10^{-1}$s.
Rethinking the China-US Balance of Trade: 1990-2005  [PDF]
Xiaoping Xu
iBusiness (IB) , 2012, DOI: 10.4236/ib.2012.41006
Abstract: Since 1993, American trade deficit with China is expanding and the gap is becoming increasingly bigger. The widening bilateral trade imbalance has caused growing concerns. This paper, by using empirical method and adjusting the data of trade from 1989 to 2005, finds that the causes of the imbalance of China-US trade are as follows: 1) the imbalance of domestic demands of US; 2) the adjustment of American economic structure, and 3) the growing of multinational enterprises. The paper also finds that the imbalance of China-US trade is not as big as it was reported by US; the imbalance of China-US trade is an inevitable result of economic development, and the trade deficit does not necessarily mean a loss of profit. In fact, American investors and consumers have greatly benefited from China-US trade.
Comparison of Four Methods for Handing Missing Data in Longitudinal Data Analysis through a Simulation Study  [PDF]
Xiaoping Zhu
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.411088
Abstract: Missing data can frequently occur in a longitudinal data analysis. In the literature, many methods have been proposed to handle such an issue. Complete case (CC), mean substitution (MS), last observation carried forward (LOCF), and multiple imputation (MI) are the four most frequently used methods in practice. In a real-world data analysis, the missing data can be MCAR, MAR, or MNAR depending on the reasons that lead to data missing. In this paper, simulations under various situations (including missing mechanisms, missing rates, and slope sizes) were conducted to evaluate the performance of the four methods considered using bias, RMSE, and 95% coverage probability as evaluation criteria. The results showed that LOCF has the largest bias and the poorest 95% coverage probability in most cases under both MAR and MCAR missing mechanisms. Hence, LOCF should not be used in a longitudinal data analysis. Under MCAR missing mechanism, CC and MI method are performed equally well. Under MAR missing mechanism, MI has the smallest bias, smallest RMSE, and best 95% coverage probability. Therefore, CC or MI method is the appropriate method to be used under MCAR while MI method is a more reliable and a better grounded statistical method to be used under MAR.
In Situ Investigation of the Silicon Carbide Particles Sintering
Yu Niu,Feng Xu,Xiaofang Hu,Jianhua Zhao,Hong Miao,Xiaoping Wu,Zhong Zhang
Journal of Nanomaterials , 2011, DOI: 10.1155/2011/728617
Abstract: A real-time observation of the microstructure evolution of irregularly shaped silicon carbide powders during solid state sintering is realized by using synchrotron radiation computerized topography (SR-CT) technique. The process of sintering neck growth and material migration during sintering are clearly distinguished from 2D and 3D reconstructed images. The sintering neck size of the sample is presented for quantitative analysis of the sintering kinetics during solid state sintering. The neck size-time curve is obtained. Compared with traditional sintering theories, the neck growth exponent (7.87) obtained by SR-CT experiment is larger than that of the two-sphere model. Such condition is discussed and shown in terms of sintering neck growth, in which the sintering process slows down when the particle shape is irregular rather than spherical.
The Expression Levels of Plasma micoRNAs in Atrial Fibrillation Patients
Zheng Liu, Cheng Zhou, Yuzhou Liu, Sihua Wang, Ping Ye, Xiaoping Miao, Jiahong Xia
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0044906
Abstract: Background MicroRNA (miRNA) has been found in human blood. It has been increasingly suggested that miRNAs may serve as biomarkers for diseases. We examined the potential of circulating miRNA to serve as predictors of atrial fibrillation (AF). Methodology/Principal Findings During the discovery stage of this project, we used massively parallel signature sequencing (MPSS) to carry out an in-depth analysis of the miRNA expression profile (miRNome) in 5 healthy controls, 5 patients with paroxysmal atrial fibrillation (PAF) alone, and 5 patients with persistent atrial fibrillation (PersAF) alone. Twenty-two specific miRNAs were found to be dysregulated in each PAF group, PersAF group, or control group. Four candidate microRNAs (miRNA-146a, miRNA-150, miRNA-19a, and miRNA-375) met our selection criteria and were evaluated in an independent cohort of 90 plasma samples using TaqMan miRNA quantitative reverse transcriptase–polymerase chain reaction (qRT-PCR). We found miRNA-150 levels to be reduced by a factor of approximately 17 in PAF relative to controls and a factor of approximately 20 in PersAF relative to controls (P<.0001). Logistic regression analyses were carried out to evaluate the reduced miRNA-150 expression levels (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.5 to 3.57, P<0.001), age (OR 1.1, 95% CI 1.36 to 2.73, P<0.001), and Left atrial diameter (LAD) (OR 1.5, 95% CI 1.36 to 1.8, P<0.001). Each was independently associated with AF. Much of the identified target genes related to AF were part of the inflammatory response system. We found that plasma levels of CRP were negatively correlated with the plasma levels of miRNA-150. Conclusions/Significance In summary, we firstly found that plasma miRNA-150 levels in from AF patients were substantially lower than that from healthy people. Circulating reduced miRNA-150 was significantly associated with AF.
Implication of Existence of Hybrid stars and Theoretical Expectation of Submillisecond Pulsars
Xiaoping Zheng,Nana Pan,Shuhua Yang,Xuewen Liu,Miao Kang,Jiarong Li
Physics , 2006, DOI: 10.1016/j.newast.2006.08.002
Abstract: We derive the bulk viscous damping timescale of hybrid stars, neutron stars with quark matter core. The r-mode instability windows of the stars show that the theoretical results are consistent with the rapid rotation pulsar data, which may give an indication for the existence of quark matter in the interior of neutron stars. Hybrid stars instead of neutron or strange stars may lead to submillisecond pulsars.
MNS16A Tandem Repeats Minisatellite of Human Telomerase Gene and Cancer Risk: A Meta-Analysis
Xiaoping Xia, Rui Rui, Sheng Quan, Rong Zhong, Li Zou, Jiao Lou, Xuzai Lu, Juntao Ke, Ti Zhang, Yu Zhang, Li Liu, Jie Yan, Xiaoping Miao
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0073367
Abstract: Background Researchers have provided evidence that telomere dysfunction play an important role in cancer development. MNS16A is a polymorphic tandem repeats minisatellite of human telomerase (hTERT) gene that influences promoter activity of hTERT and thus implicates to relate with risk of several malignancies. However, results on association between MNS16A and cancer risk remain controversial. We therefore conduct a meta-analysis to derive a more precise estimation of association between MNS16A and cancer risk. Methods A systematic literature search was conducted by searching PubMed, ISI Web of Knowledge, Human Genome and Epidemiology Network Navigator and Google Scholar digital database for publications on associations between MNS16A and cancer risk. Variants with statistically significant associations by meta-analysis were assessed using Venice criteria. Results 10 case-control articles enrolling 6101 cases and 10521 controls were brought into our meta-analysis. The relationships were strong epidemiological credibility in cerebral cancer and breast cancer population (P for heterogeneity > 0.1). The cumulative analysis in chronologic order suggested a clear tendency towards a significant association with additional study samples. Conclusions The results provided a more accurate depiction of the role of MNS16A in cerebral cancer and breast cancer susceptibility. Additional larger studies were warranted to validate our findings.
The SNP rs961253 in 20p12.3 Is Associated with Colorectal Cancer Risk: A Case-Control Study and a Meta-Analysis of the Published Literature
Xiawen Zheng, Li Wang, Yaowu Zhu, Qing Guan, Huijun Li, Zhigang Xiong, Lingyan Deng, Jie Lu, Xiaoping Miao, Liming Cheng
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0034625
Abstract: Background Colorectal cancer (CRC) is the third common cancer and the fourth leading cause of cancer death worldwide. A single nucleotide polymorphism (SNP), rs961253 located in 20p12, was firstly described to be associated with the increased risk of CRC in a genome-wide association study; however, more recent replication studies yielded controversial results. Methodology/Principal Findings A hospital-based case-control study in a Chinese population was firstly performed, and then a meta-analysis combining the current and previously published studies were conducted to explore the real effect of rs961253 in CRC susceptibility. In the Chinese population including 641 cases and 1037 controls, per-A-allele conferred an OR of 1.60 (95% CI = 1.26–2.02) under additive model. In the meta-analysis including 29859 cases and 29696 controls, per-A-allele have an OR of 1.13 (95% CI = 1.09–1.18) under a random-effects model due to heterogeneity (P = 0.019). Nevertheless, the heterogeneity can be totally explained by ethnicity, with the tau2reduced to 0 after including ethnicity in meta-regression model. In stratified analysis by ethnicity, per-A-allele had ORs of 1.34 (95% CI = 1.20–1.50) and 1.11 (95% CI = 1.08–1.14) for Asian and European, respectively, without heterogeneity. Modest influence of each study was observed on overall estimate in sensitive analysis, and evident tendency to significant association was seen in cumulative analysis over time, together indicating the robust stability of the current results. Conclusions/Significance The results from our study and the meta-analysis provided firm evidence that rs961253 significantly contributed to CRC risk in both Asian and European population.
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