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Search Results: 1 - 10 of 139670 matches for " Jun-Lin Liu "
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Bayesian Inference for Generalized Linear Mixed Model Based on the Multivariate t Distribution in Population Pharmacokinetic Study
Fang-Rong Yan, Yuan Huang, Jun-Lin Liu, Tao Lu, Jin-Guan Lin
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0058369
Abstract: This article provides a fully Bayesian approach for modeling of single-dose and complete pharmacokinetic data in a population pharmacokinetic (PK) model. To overcome the impact of outliers and the difficulty of computation, a generalized linear model is chosen with the hypothesis that the errors follow a multivariate Student t distribution which is a heavy-tailed distribution. The aim of this study is to investigate and implement the performance of the multivariate t distribution to analyze population pharmacokinetic data. Bayesian predictive inferences and the Metropolis-Hastings algorithm schemes are used to process the intractable posterior integration. The precision and accuracy of the proposed model are illustrated by the simulating data and a real example of theophylline data.
Empirical Likelihood Estimation for Population Pharmacokinetic Study Based on Generalized Linear Model
Fang-rong Yan,Jin-guan Lin,Yuan Huang,Jun-lin Liu,Tao Lu
Journal of Applied Mathematics , 2012, DOI: 10.1155/2012/250909
Abstract: To obtain efficient estimation of parameters is a major objective in population pharmacokinetic study. In this paper, we propose an empirical likelihood-based method to analyze the population pharmacokinetic data based on the generalized linear model. A nonparametric version of the Wilk's theorem for the limiting distributions of the empirical likelihood ratio is derived. Simulations are conducted to demonstrate the accuracy and efficiency of empirical likelihood method. An application illustrating our methods and supporting the simulation study results is presented. The results suggest that the proposed method is feasible for population pharmacokinetic data. 1. Introduction The parameter estimation in population pharmacokinetics (PPK) is a significant problem in clinical research. It is a novel problem in pharmacokinetic (PK) study that combines classic PK models with group statistical models. The PPK parameters, including group typical values, fixed effect parameter, interindividual variation, and intraindividual variation, which are the determinant factors of drug concentration in patients, are taken into consideration. PPK is capable of quantitatively describing the effects of different factors in drug metabolism, such as pathology, physiology, and combined medication, then providing guidance on the adjustment of therapeutic regimen, thus increasing the efficacy and safety in a new drug evaluation. Many statistical models have been proposed to fit PPK parameters. The most popular analytic statistical model for PPK data is the random effects model proposed by Larid and Ware [1]. Besides, the classic compartmental model and nonlinear mixed effect model proposed by Sheiner et al. in 1977 [2] are the most commonly used statistical models for PPK. And recently, generalized linear model proposed by Salway and Wakefield in 2008 [3] has received wide attention. In fact nonlinear models are used to estimate parameters of a chosen compartmental model. This model can provide generally good results. However, a disadvantage of the nonlinear models is that it is generally more difficult to fit. From a computational point of view, one also faces the usual challenges associated with nonlinear regression such as choosing starting values, problem with convergence, nonlinear regression diagnostics, and so forth. Other nonlinear models for the analysis of PPK data see [4–6]. Salway and Wakefield [3] proposed a generalized linear model with gamma distribution to deal with PPK data. The GLM is one of the most widely used regression models for statistical analysis. The
Characterization of Calreticulin Expression in Mouse Endometrium during Embryo Implantation
Biological Research , 2009,
Abstract: Calreticulin (CRT), a Ca2+-binding storage protein and chaperone in the endoplasmic reticulum, modulates cell adhesiveness and integrin-dependent Ca2+ signaling. However, the role of CRT during implantation remains poorly understood. In the present study, we characterized the expression of CRT mRNA and the protein in mouse endometria from pregnancy DI to D7. Real-Time PCR and in situ hybridization results showed that the levels of CRT mRNA in the endometria of pregnant mice were significantly higher than those of non-pregnant mice (P<0.05), and increased gradually from pregnancy DI to D4, reaching the máximum level on D4, followed by a plateau from D4 to D7. Using immunofluorescence histochemistry and western blot, changes of CRT expression in the endometria of pregnant mice were consistent with the expression of CRT mRNA. Furthermore, antisense CRT oligodeoxynucleotide was injected into the uterus horns of pregnant mice (D3) to investígate its effect on embryo implantation. The result showed that the number of implanted embryos markedly decreased in the side of uterine horns receiving antisense CRT oligodeoxynucleotide(í><0.05). These findings suggest that CRT may play an important role in embryo implantation in mice.
On the Diversity Constraints for Portfolio Optimization
Jun-Lin Lin
Entropy , 2013, DOI: 10.3390/e15114607
Abstract: In the literature, Markowitz’s mean-variance model and its variants have been shown to yield portfolios that put excessive weights on only a few assets. Many diversity constraints were proposed and added to these models to avoid such overly concentrated portfolios. However, since these diversity constraints are formulated differently, it becomes difficult to compare them and study their relationships. This paper proposes a canonical form for the commonly used diversity constraints in the literature, and shows how to transform these diversity constraints into this canonical form. Furthermore, this paper compares these diversity constraints (in the canonical form with the same upper bound) on their ability to shrink the feasible region of the portfolio optimization problem. The results show a subset relation among their feasible regions.
Effects of Tuina and Chinese patent drug Shuxuetong injection on deep venous thrombosis and functional rehabilitation after total knee arthroplasty
Jun-lin Hu
Zhong Xi Yi Jie He Xue Bao , 2011,
Abstract: Objective: To evaluate the efficacy of Tuina and Chinese patent drug Shuxuetong injection in preventing patients undergoing total knee arthroplasty from deep venous thrombosis and in functional rehabilitation.Methods: A total of 120 patients with diagnosed rheumatoid arthritis in the Department of Orthopaedic Surgery, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine in China were enrolled for this study. The patients underwent total knee arthroplasty and were divided into treatment group (n=60) and control group (n=60) after surgery. Patients in the control group received conventional rehabilitation training, including using a continuous passive motion machine and training of muscle contractions of the lower limb. Patients in the treatment group were administered Shuxuetong injection and Tuina based on the conventional rehabilitation training. The course of treatment lasted for 2 weeks. Hospital for Special Surgery (HSS) knee score, rate of deep venous thrombosis and range of motion of the knee joint were evaluated before and after treatment.Results: There was no significant difference in HSS knee score and range of motion as compared before and after treatment in two group (P>0.05). The rate of deep venous thrombosis of the treatment group was 13.33%, which was lower than 20% of the control group (P<0.05). Conclusion: Tuina combined with Shuxuetong injection treatment can prevent deep venous thrombosis in patients with rheumatoid arthritis after total knee arthroplasty.
Two-Dimensional Channel Estimation for OFDM Systems Based on Polynomial Fitting

Liu Jun-lin,Zhu Jin-kang,Qiu Ling,

电子与信息学报 , 2006,
Abstract: This paper proposes a robust pilot-assisted channel estimation method for Orthogonal Frequency Division Multiplexing(OFDM) signals in Rayleigh fading. The method can be used in rectangular pilot-assisted geometry, which is more efficient than the comb pilot-assisted geometry. Comparing with the Linear Minimum Mean Square Error (LMMSE) channel estimation method, the method is simple and need not know the channel correlation and signal-to-noise (SNR). The performance is presented in terms of bit-error rate(BER) for a system using QPSK and 16QAM in fading channel.
A New MAI Control Method in PMCAP/CDMA Networks

Li Fan,Liu Jun-lin,Zhu Jian-wei,Zhu Jin-kang,
李 凡

电子与信息学报 , 2006,
Abstract: Multiple Access Interference(MAI) is a well-known bottleneck which limits the capacity of CDMA systems, and as is known to all, hybrid ARQ has been widely used in wireless communication systems to support error free high rate data transmission. A combined differentiated MAI control scheme for CDMA networks with hybrid ARQ type-II is proposed in this paper, taking into account that different trials of data packets have different error-correcting capabilities against MAI and largely different quantities. Simulation shows that this method has better delay and throughput performance than traditional MAI control methods.
An Optimized Dynamic Channel Allocation Protocol in CDMA Networks

Lu Xiao-wen,Liu Jun-lin,Zhu Jin-kang,

电子与信息学报 , 2004,
Abstract: In this paper a novel dynamic channel allocation algorithm based on network optimization in CDMA network is presented. It establishes an integer programming model for CBR services, which does not allocate channel at each time slot but at some time slots. The goal is to trade off between the QoS for users and system performance. The simulation results show that this optimal algorithm both improves the channel usage and guarantees the QoS, compared with traditional voice-allocated-first algorithm and queue-by-priority allocation algorithm.
OFDM Time and Frequency Synchronization Based on Frequency Domain Correlation

Liu Jun-lin,Deng Dan,Zhu Jin-kang,Qiu Ling,

电子与信息学报 , 2006,
Abstract: A new time and frequency synchronization method based on frequency domain correlation for an Orthogonal Frequency Division Multiplexing (OFDM) system is presented. The time synchronization and carrier frequency offset estimation can be achieved simultaneously. The algorithms described here use one training sequence of just one symbol and the design of the symbol is presented. The carrier offset estimation can be got by the correlation result of time synchronization and the frequency synchronization algorithm can extend the frequency acquisition range to nearly the whole useful OFDM signal bandwidth. The efficacy of the synchronization algorithms is demonstrated experimentally.
FLIR scene matching algorithm for complex ground target

LIU Jing,SUN Ji-yin,ZHU Jun-lin,JU Xi-nuo,

计算机应用研究 , 2010,
Abstract: 针对复杂地面目标前视红外图像边缘模糊、背景杂乱无章,无直接可用的同源基准图的情况,研究了一种灰度与形状特征相结合的由粗到精景象匹配算法。在粗匹配阶段,将积分图像引入归一化积相关算法中,并对其计算公式进行了近似,使运算速度大大加快;精匹配阶段,利用实时图与所制备基准图形状相似的特点,采用形状上下文进行匹配。实验结果显示,该算法匹配精度高、速度快,对于复杂地面目标前视红外图像的匹配识别具有一定的应用价值。
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