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Search Results: 1 - 10 of 44510 matches for " Ming Han "
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Marital distress and disease progression: A systematic review  [PDF]
Ming Guan, Bingxue Han
Health (Health) , 2013, DOI: 10.4236/health.2013.510216
Abstract:

Objective: To review the state of research on the association between marital distress and disease progression. Methods: The PubMed Central, Wiley Interscience, Sciencedirect, Biomed central and Springer-link were searched to identify studies published between January 1984 and October 2012 on disease progression. Articles meeting the following criteria were selected for review: 1) study subjects were spouses, 2) the article was published within the past 28 years in a peer-reviewed journal, and 3) the research included at least one of the following outcomes-marital distress or disease progression. Articles were different on time span, the number of surveys, and the definition of disease. Results: Out of 72 screened articles, 18 met our criteria. Research demonstrates that marital distress and disease progression appear to have bidirectional influence on each other. Conclusion: Marital distress has a significant effect on disease progression. This article summarizes what is known about the association of marital distress on disease progression among spouses with disease. The authors speculate that associations between marital distress and disease progression will motivate policy makers in developing countries to allocate more resources towards spousal service.

Estimation of Failure Probability and Its Applications in Lifetime Data Analysis
Ming Han
International Journal of Quality, Statistics, and Reliability , 2011, DOI: 10.1155/2011/719534
Abstract: Since Lindley and Smith introduced the idea of hierarchical prior distribution, some results have been obtained on hierarchical Bayesian method to deal with lifetime data. But all those results obtained by means of hierarchical Bayesian methods involve complicated integration compute. Though some computing methods such as Markov Chain Monte Carlo (MCMC) are available, doing integration is still very inconvenient for practical problems. This paper introduces a new method, named E-Bayesian estimation method, to estimate failure probability. In the case of one hyperparameter, the definition of E-Bayesian estimation of the failure probability is provided; moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.
Estimation of Failure Probability and Its Applications in Lifetime Data Analysis
Ming Han
Journal of Quality and Reliability Engineering , 2011, DOI: 10.1155/2011/719534
Abstract: Since Lindley and Smith introduced the idea of hierarchical prior distribution, some results have been obtained on hierarchical Bayesian method to deal with lifetime data. But all those results obtained by means of hierarchical Bayesian methods involve complicated integration compute. Though some computing methods such as Markov Chain Monte Carlo (MCMC) are available, doing integration is still very inconvenient for practical problems. This paper introduces a new method, named E-Bayesian estimation method, to estimate failure probability. In the case of one hyperparameter, the definition of E-Bayesian estimation of the failure probability is provided; moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform. 1. Introduction In the area related to the reliability of industrial products, engineers often deal with the truncated data in life testing of products, where the data sometimes have small sample size or have been censored, and the products of interest have high reliability. In the literature, Lindley and Smith [1] first introduced the idea of hierarchical prior distribution. Han [2] developed some methods to construct hierarchical prior distribution. Recently, hierarchical Bayesian methods have been applied to data analysis [3]. However, complicated integration compute is a hard work by using hierarchical Bayesian methods in practical problems, though some computing methods such as Markov Chain Monte Carlo (MCMC) methods are available [4, 5]. Han [6] introduced a new method—E-Bayesian estimation method—to estimate failure probability in the case of two hyperparameters, proposed the definition of E-Bayesian of failure probability, and provided formulas for E-Bayesian estimation of the failure probability under the cases of three different prior distributions of hyperparameters. But we did not provide formulas for hierarchical Bayesian estimation of the failure probability nor discuss the relations between the two estimations. In this paper, we will introduce the definition for E-Bayesian estimation of the failure probability, provide formulas both for E-Bayesian estimation and hierarchical Bayesian estimation, and also discuss the relations between the two estimations in the case of only one hyperparameter. We will see that the E-Bayesian estimation method is really simple. Conduct type I censored life testing time, denote the
Effects of Yifei Kangliu Qral Liquid on cell cycle and protein-nucleic acid synthesis of experimental lung cancer
HAN Ming-Quan
Zhong Xi Yi Jie He Xue Bao , 2003,
Abstract: Objective: To explore the effect of the traditional Chinese medicine Yifei Kangliu (YFKL) Oral Liquid on the proliferation, cell cycle and protein-nucleic acid synthesis of murine Lewis lung cancer cell and human lung adenocarcinoma cell line SPC-A-1. Methods: The inhibiting rates of tumor growth were calculated by weighing the weight of tumor inoculated in vivo, combined by counting cancer cells in vitro. The ratio of the cell cycle and exponents of DNA, RNA, and protein were measured by flow cytometry (FCM). Results: The inhibiting rate of tumor growth in the treated group with YFKL Oral Liquid was 30.38% (P<0.05). The proportion of cells in S phase of the treated groups with YFKL Oral Liquid was lower than that of the control group. In the group with most significant result, 72% of the cells were stagnated in G0/G1 phase. The inhibiting rates of DNA, RNA and protein in murine Lewis lung cancer were 7.4%, 23.73% and 23.31% respectively. In SPC-A-1 cell line, the inhibiting rates were 9.3%, 10.1% and 14.7% respectively, demonstrating amplified effects on lower levels. Conclusion: YFKL Oral Liquid significantly inhibited the proliferation of murine Lewis lung cancer cell and human lung adenocarcinoma cell line SPC-A-1 by blocking the cancer cells entering the proliferative phase resulted from its inhibition of DNA.
Prognostic analysis of advanced non small cell lung cancer treated by sequential chemo-radiation therapy combined with traditional Chinese medicine: A report of 54 cases
HAN Ming-Quan
Zhong Xi Yi Jie He Xue Bao , 2003,
Abstract: Objective: To evaluate the influence of fewer courses and prolonged intervals of chemotherapy on survival rate of advanced non small cell lung cancer (NSCLC) patients treated by sequential chemo-radiation therapy combined with traditional Chinese medicine (TCM). Methods: From Jan.2000 to Dec.2001, 54 untreated advanced NSCLC patients (2 stage Ⅲa, 18 stage Ⅲb, 34 stage Ⅳ) were treated by sequential chemo-radiation therapy combined with TCM. The courses of chemotherapy were reduced and the intervals of chemotherapy were longer than that of the standard regimen. The efficacy and survival rate were documented and the prognostic factors were analyzed. Results: Complete remission (CR) was observed in 1 case and partial remission (PR) in 20 cases. The overall objective response rate was 40.4%. Median survival was 15.3 months, 1-, 2- and 3- year survival rate were 53.7%, 28.9% and 9.6% respectively. The median survival of stage Ⅲ and Ⅳ were 21.8 months and 12.5 months respectively. The 1-, 2-, and 3- year survival rates of stage Ⅲ were 65.0%,49.5%, 24.7% and that of stage Ⅳ were 47.0%, 23.3%, 0%, respectively. The quality of life was improved in most of the patients. Cox's proportional hazards regression showed that improved quality of life and treatment of TCM were the significant prognostic factors of overall survival. Conclusion: Chemotherapy and radiotherapy combined with TCM is beneficial to extending the interval of chemotherapy, improving the quality of life, and increasing the survival rate of advanced NSCLC patients.
Renormalized Surface Charge Density for a Strongly Charged Plate in Asymmetric Electrolytes: Asymptotic Exact Results in Poisson Boltzmann Theory
Ming Han,Xiangjun Xing
Physics , 2012, DOI: 10.1007/s10955-013-0751-7
Abstract: The Poisson-Boltzmann equation for a strongly charged plate inside a generic charge-asymmetric electrolyte is solved using the method of asymptotic matching. Both near field and far field asymptotic behaviors of the potential are systematically analyzed. Using these expansions, the renormalized surface charge density is obtained as an asymptotic series in terms of the bare surface charge density.
Research and Implementation of a License Plate Recognition Algorithm Based on Hierarchical Classification  [PDF]
Haofei Gao, Wanrong Sun, Xinran Liu, Ming Han
Journal of Computer and Communications (JCC) , 2014, DOI: 10.4236/jcc.2014.22005
Abstract:

This paper proposed an improved method for license plate recognition based on hierarchical classification. First, the method of feature extraction and dimension reduction is presented by finding the optimal wavelet packet basis in the process of wavelet packet decomposition and K-L transform. Then the recognition algorithm is introduced based on feature extraction and hierarchical classification. Finally, the principles and procedures of using support vector machines, Harris corner detection algorithm and digital character classification are explained in detail. Simulation results indicate that the presented recognition algorithm performs well with higher speed and efficiency in recognition.

Feasibility Study on Deformable Image Registration for Lung SBRT Patients for Dose-Driven Adaptive Therapy  [PDF]
Eun Young Han, Ming Chao, Xin Zhang, Jose Penagaricano
International Journal of Medical Physics,Clinical Engineering and Radiation Oncology (IJMPCERO) , 2015, DOI: 10.4236/ijmpcero.2015.43027
Abstract: The purpose of the study was to evaluate a treatment dose using planning computed tomography (pCT) that was deformed to pre-treatment cone beam computed tomography (CBCT) for lung stereotactic body radiation therapy (SBRT) treatment. Five lung SBRT patients were retrospectively selected, and their daily CBCTs were employed in this study. Dosimetric comparison was performed between the original and recalculated plans from the deformed pCT (dose per fraction) by comparing a target coverage and organs at risk. Dose summation of five fractions was computed and compared to the original plan. A phantom study was conducted to evaluate the dosimetric accuracy for the dose per fraction. In the phantom study, the difference between the mean Hounsfield Unit (HU) values of the original and deformed pCTs is less than 0.5%. In patient study, the mean HU deviation of the five deformed pCTs compared to that of the original pCT was within ±5%, which is dosimetrically insignificant. While the internal target volume (ITV) shrank by 17% on average among the five patients, mean lung dose (MLD) increased by up to 7%, and D95% of PTV decreased slightly but stayed within 5%. Results showed that MLD might be a better indicative metric of normal lung dose than V20Gy as the ITV volume decreases. This study showed a feasibility to use a deformed pCT for evaluation of the dose per fraction and for a possible plan adaptation in lung SBRT cases. Readers should be cautious in selecting patients before clinical application due to the image quality of CBCT.
Expected Bayesian Estimation of Failure Probability and Its Character
失效概率的E-Bayes估计及其性质

Han Ming,
韩明

数学物理学报(A辑) , 2007,
Abstract: This paper develops a new method of parameter estimation, which is named as E-Bayesian estimation method. In the case of zero-failure data, the defined of E-Bayesian estimation of the failure probability is provided, and more the formulas of E-Bayesian estimation of the failure probability is provided also on the base. Then discusses the character of E- Bayesian estimation--the relations between E-Bayesian estimation and hierarchical Bayesian estimation. Finally, calculations are performed according to simulation example, which show that the method provided in the paper is practicable and easy to operate.
M-BAYESIAN CREDIBLE LIMIT METHOD OF PARAMETER AND ITS APPLICATION
Han Ming,
韩明

数学物理学报(A辑) , 2006,
Abstract: This article develops a new method, named M-Bayesian credible limit method, to estimate reliability parameter. In the article, the M-Bayesian credible limit method of failure rate is derived for zero-failure data from products with exponential distribution. Relations between M-Bayesian credible limit and other classical confidence limits are discussed. Finally, the new method isapplied to a real zero-failure data set, and as can be seen, it is both efficient and easy to operate.
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