Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2020 ( 2 )

2019 ( 328 )

2018 ( 2087 )

2017 ( 1973 )

Custom range...

Search Results: 1 - 10 of 140266 matches for " Ming Wang "
All listed articles are free for downloading (OA Articles)
Page 1 /140266
Display every page Item
Airborne particles and asthma: a biophysical model  [PDF]
Ming Yang, Yixing Wang
Health (Health) , 2009, DOI: 10.4236/health.2009.14054
Abstract: Airborne particles can trigger asthma when reaching certain threshold concentrations that vary by a few to several thousand times among different particles. The underlying mechanism for the variation is unknown. Here, based on common knowledge and observations, we pro-pose that the potency of an airborne particle in causing asthma correlates positively with the weight of the particle and inversely with the friction coefficient between the particle and the airway epithelium. This model may lead to new approaches for investigating the asthma phe-nomenon, and to practical applications for re-ducing the prevalence of asthma.
A Bayesian Quantile Regression Analysis of Potential Risk Factors for Violent Crimes in USA  [PDF]
Ming Wang, Lijun Zhang
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.25068
Abstract: Bayesian quantile regression has drawn more attention in widespread applications recently. Yu and Moyeed (2001) proposed an asymmetric Laplace distribution to provide likelihood based mechanism for Bayesian inference of quantile regression models. In this work, the primary objective is to evaluate the performance of Bayesian quantile regression compared with simple regression and quantile regression through simulation and with application to a crime dataset from 50 USA states for assessing the effect of potential risk factors on the violent crime rate. This paper also explores improper priors, and conducts sensitivity analysis on the parameter estimates. The data analysis reveals that the percent of population that are single parents always has a significant positive influence on violent crimes occurrence, and Bayesian quantile regression provides more comprehensive statistical description of this association.
A Review on Agency Cost in China  [PDF]
Ming Shao, Yaxin Wang
Open Journal of Business and Management (OJBM) , 2018, DOI: 10.4236/ojbm.2018.62016
Under the modern corporate system, one of the basic problems of corporate governance is to reduce the agency cost, but it is under the influence of the company’s internal governance structure and external environment. Since agency cost problems in corporate governance have been a research hot spot, this paper teases out a profile of relevant research achievements of agency costs from 2012 to 2017 in China, and summarizes the influence factors and the economic consequences relating to agency cost in the form of literature review. After some discussion and argument, this paper analyses the trend of the existing research and puts forward the future research prospects in this field that is spillover effect of agency costs at the macro micro level.
Role of Biochar Amendment on Soil Carbon Mineralization and Microbial Biomass  [PDF]
Yimin Wang, Ming Li
Journal of Geoscience and Environment Protection (GEP) , 2018, DOI: 10.4236/gep.2018.611013
To understand the influence of biochar properties (pyrolysis temperature and types) on soil physicochemical properties, we investigated the changes of soil organic carbon mineralization, nutrient contents and microbial biomass after 135 d incubation. Results showed that both corn straw (CB) and rice straw (RB) derived biochars increase the mineralization of organic carbon and nitrogen in the soil, and these biochars pyrolysised at 500?C (CB500, RB500) significantly enhanced the mineralization of soil organic nitrogen. In comparison with control treatment, the application of biochar significantly increased the contents of soil organic carbon, available P and K in soil. Moreover, the activity of soil microbe was enhanced with biochar amendment. Among all treatments, RB500 significantly increased the content of soil microbial biomass carbon (379 ± 9 mg?kg?1) in soil. Our results suggested that the application of biochars to soil improve soil quality, while the biochar type and pyrolysis temperature should be taken into consideration before its application in agro-ecosystem.
Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments
Ming Wang
Advances in Statistics , 2014, DOI: 10.1155/2014/303728
Abstract: Generalized Estimating Equation (GEE) is a marginal model popularly applied for longitudinal/clustered data analysis in clinical trials or biomedical studies. We provide a systematic review on GEE including basic concepts as well as several recent developments due to practical challenges in real applications. The topics including the selection of “working” correlation structure, sample size and power calculation, and the issue of informative cluster size are covered because these aspects play important roles in GEE utilization and its statistical inference. A brief summary and discussion of potential research interests regarding GEE are provided in the end. 1. Introduction Generalized Estimating Equation (GEE) is a general statistical approach to fit a marginal model for longitudinal/clustered data analysis, and it has been popularly applied into clinical trials and biomedical studies [1–3]. One longitudinal data example can be taken from a study of orthodontic measurements on children including 11 girls and 16 boys. The response is the measurement of the distance (in millimeters) from the center of the pituitary to the pterygomaxillary fissure, which is repeatedly measured at ages 8, 10, 12, and 14 years. The primary goal is to investigate whether there exists significant gender difference in dental growth measures and the temporal trend as age increases [4]. For such data analysis, it is obvious that the responses from the same individual tend to be “more alike”; thus incorporating within-subject and between-subject variations into model fitting is necessary to improve efficiency of the estimation and the power [5]. There are several simple methods existing for repeated data analysis, that is, ANOVA/MANOVA for repeated measures, but the limitation is the incapability of incorporating covariates. There are two types of approaches, mixed-effect models and GEE [6, 7], which are traditional and are widely used in practice now. Of note is that these two methods have different tendencies in model fitting depending on the study objectives. In particular, the mixed-effect model is an individual-level approach by adopting random effects to capture the correlation between the observations of the same subject [7]. On the other hand, GEE is a population-level approach based on a quasilikelihood function and provides the population-averaged estimates of the parameters [8]. In this paper, we focus on the latter to provide a review and recent developments of GEE. As is well known, GEE has several defining features [9–11]. The variance-covariance matrix of responses
Performance Prediction Based on Statistics of Sparse Matrix-Vector Multiplication on GPUs  [PDF]
Ruixing Wang, Tongxiang Gu, Ming Li
Journal of Computer and Communications (JCC) , 2017, DOI: 10.4236/jcc.2017.56005
Abstract: As one of the most essential and important operations in linear algebra, the performance prediction of sparse matrix-vector multiplication (SpMV) on GPUs has got more and more attention in recent years. In 2012, Guo and Wang put forward a new idea to predict the performance of SpMV on GPUs. However, they didn’t consider the matrix structure completely, so the execution time predicted by their model tends to be inaccurate for general sparse matrix. To address this problem, we proposed two new similar models, which take into account the structure of the matrices and make the performance prediction model more accurate. In addition, we predict the execution time of SpMV for CSR-V, CSR-S, ELL and JAD sparse matrix storage formats by the new models on the CUDA platform. Our experimental results show that the accuracy of prediction by our models is 1.69 times better than Guo and Wang’s model on average for most general matrices.
The Impact of Consumers Witness Front-Line Service Employee Complaints on Corporate Brand Attitudes  [PDF]
Jihua Zhang, Ming Tan, Ningning Wang
Open Journal of Social Sciences (JSS) , 2019, DOI: 10.4236/jss.2019.73037
Abstract: In the past, the research on complaints mainly focused on employee-employer dichotomy, focusing on the impact of employee complaints on employee performance. But in the actual work, front-line service workers and consumers have a lot of service contacts. If consumers witness complaints from front-line service workers, what impact will it have on corporate brand attitude? Based on the third-party perception perspective and the theory of moral justice, with perception of corporate morality as the mediating variable, this paper verifies that perceived corporate controllability by first-line service employees’ complaints can significantly affect consumer brand attitude, and introduces the boundary condition of perceived employee complaints. When perceived employee complaints are health factors, the more controllable the first-line service employees’ complaints are perceived. The higher the perceived corporate ethics, the lower the consumer brand attitude. When perceived employee complaints are motivating factors, there is no difference in the impact of perceived corporate controllability and low perceived employee complaints on consumer brand attitude. The paper examines the impact of corporate controllability on consumers perceived by the complaints of front-line service employees witnessed by consumers. It also studies the spillover effect of employee complaints from the perspective of third-party perception, which has important guiding value for guiding the management of front-line service employees and sustainable development.
How to Make Highly Rational Use of Modern Educational Technologies  [PDF]
Li Wang, Xiaoning Wang, Ningyu Liang, Ming Xiao
Intelligent Information Management (IIM) , 2010, DOI: 10.4236/iim.2010.211074
Abstract: Modern educational technology is playing a very important role in information engineering discipline in ordinary universities and colleges. The using of modern educational technology can be classified into instinctive stage and rational stage. In the instinctive stage, users have been aware of the importance of those modern assisted teaching methods and make full application already. In rational stage, the user should not only establish a best teaching environment by using all teaching methods, but also optimize the usage of these methods to get the most powerful effects in class based on specific educational goal. In this paper, how to make highly rational use of modern educational technologies in ordinary universities and colleges is the main topic we discussed. Authors investigate relative educational environment and consequences in their teaching experiences of many years, and conclude from those data by comparing, evaluating and analyzing relative situation.
Adaptive Resonance Theory Based Two-Stage Chinese Name Disambiguation  [PDF]
Xin Wang, Yuanchao Liu, Xiaolong Wang, Ming Liu, Bingquan Liu
International Journal of Intelligence Science (IJIS) , 2012, DOI: 10.4236/ijis.2012.24011
Abstract: It’s common that different individuals share the same name, which makes it time-consuming to search information of a particular individual on the web. Name disambiguation study is necessary to help users find the person of interest more readily. In this paper, we propose an Adaptive Resonance Theory (ART) based two-stage strategy for this problem. We get a first-stage clustering result with ART1 model and then merge similar clusters in the second stage. Our strategy is a mimic process of manual disambiguation and need not to predict the number of clusters, which makes it competent for the disambiguation task. Experimental results show that, in comparison with the agglomerative clustering method, our strategy improves the performance by respectively 0.92% and 5.00% on two kinds of name recognition results.
Strong and Weak Convergence Theorems for Equilibrium Problems and Weak Relatively Uniformly Nonexpansive Multivalued Mappings in Banach Spaces
Zi-Ming Wang
Abstract and Applied Analysis , 2012, DOI: 10.1155/2012/489629
Abstract: Equilibrium problem and fixed point problem are considered. A general iterative algorithm is introduced for finding a common element of the set of solutions to the equilibrium problem and the common set of fixed points of two weak relatively uniformly nonexpansive multivalued mappings. Furthermore, strong and weak convergence results for the common element in the two sets mentioned above are established in some Banach space.
Page 1 /140266
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.