A New Feature Selection Method for Text Categorization of Customer Reviews

With the rapid development of e-commerce, online consumer review plays an increasingly important role in consumers’ purchase decisions. Most research papers use the quantitative measures of consumer reviews for statistical analysis. Here we focus on analyzing the texts of customer reviews with text mining tools. We propose a new feature selection method called maximizing the difference. Various classification methods such as boosting, random forest and SVM are used to test the performance of the new method along with different evaluation criteria. Both simulation and empirical results show that it improves the effectiveness of the classifier over the existing methods.     

三次党内集中学习教育活动的回顾与思考(英文)

21世纪以来,中国共产党相继开展了农村三个代表重要思想学习教育活动,以实践三个代表重要思想为主要内容的保持党员先进性教育活动和深入学习实践科学发展观活动。通过这三次活动,广大党员、干部受到深刻的马克思主义教育,进一步增强了对三个代表重要思想的认识。这三次活动对于在新的历史起点上推进党的建设的伟大工程,具有十分重要的启示意义。     

Contents of heavy metals in arable soils and birth defect risks in Shanxi, China: a small area level geographic study

The burgeoning demands of China’s urbanization and industrial development put pressure on the resources of the entire country and have direct and indirect effects on the health of individuals, at times in areas far removed from cities themselves. Current evidence suggests that heavy metal pollution in soil, a common by-product of coal mining and other industrial activities, may be linked to risk of birth defects. We examine this hypothesis using small area level data including soil samples and detailed birth records from 2002 to 2004 from 97 villages in Shanxi province, a heavy coal-mining region. We find that soils containing arsenic, lead, and nickel are significantly correlated with the incidence of birth defects. In particular, we find a strong positive dose-dependent association of birth defects with lead, a moderate positive effect with arsenic, and a dose-dependent negative association with nickel. These results are consistent with the postulated link between arsenic and lead and human birth defects, but raise questions about the effects of nickel in this context. China’s rapid urbanization underscores the need for closer attention to the relationship between the health and the environment.     

关于三分Cantor集的结构的一些新结论

旨在采用代数的方法来研究三分Cantor集的结构特点。主要结果除了给出三分Cantor集的代数构造外还定义了仿四进位；结合代数构造、拓扑构造以及仿四进位分别给出并证明了三分Cantor集及其余集的结构公式，从而改进了已有的结论。     

西部开发与民族文物干部的培养

在西部开发过程中 ,要保护民族文物 ,离不开民族文物干部。举办民族文物培训班 ,是培养民族文物干部的捷径。     

自治区自治条例研究

民族自治地方自治机关拥有法律规定的立法权。自治机关的立法权主要是制定和变动自治条例和单行条例的权力,自治条例是民族自治地方立法机关和政府行使自治权力的法律标志。自治机关制定自治条例是全面实施民族区域自治制度的需要,是自治机关行使自治权的根本体现。由于多方面原因,到目前为止我国5个自治区无一出台自治区自治条例。制定和出台自治区自治条例必须严格遵循法律规范、法定原则和法定程序,新修改的《民族区域自治法》和西部大开发战略的实施是促成自治区自治条例尽快出台的契机。     

WTO规则与解决中国"三农"问题的政策措施

市场经济发达国家实行的农业保护政策可资借鉴。必须在WTO框架下对我国农业实行保护措施 ,构造农业保障体系 ,坚持可持续发展战略。政府必须采取坚硬的政策措施增加农民收入 ,采取切实的政策措施促进农产品出口加工业发展 ,采取鼓励性政策措施扩大农产品出口 ,采取相关的政策措施促进农业信息化建设     

浅析全球化时代的国际主义

在全球化的背景下,国际主义已成为国际关系中一个值得重新思考的问题,只有在对国际主义的历史作用进行全面反思,充分认识国际形势的新发展以及全球主义、人道主义等西方思想造成的挑战的基础上,把政治声援的强大道义性、不附加任何条件的无私性和注重增强受援方自立能力的实效性等国际主义精神实质与当前的国际实际结合起来,才能充分发挥国际主义在国际关系中的重要作用。     

Effect of Inventory Information Discrepancy in a Drop‐Shipping Supply Chain

This article investigates the impact of information discrepancy between a drop‐shipper and an online retailer on the drop‐shipping supply chain performance. The inventory information misalignment between them contributes to the failure of order fulfillment and demand satisfaction, and hence the associated penalties are incurred. In this article, we first analyze the penalties of ignoring such information discrepancy on both the drop‐shipper and the online retailer. We then assess the impact of information discrepancy on both parties when the drop‐shipper understands the existence of the information discrepancy but is not able to eliminate the errors. The numerical experiments indicate that both parties can have significant amount of the percentage cost reductions if the information discrepancy can be eliminated, and the potential savings are substantial especially when the errors have large variability. Furthermore, we observe that the online retailer is more vulnerable to information discrepancy than the drop‐shipper, and the drop‐shipper is likely to suffer from the online retailer's underestimation of the physical inventory level more than the problem of its overestimation. Moreover, even if eliminating errors is not possible, both parties could still benefit from taking the possibility of errors into consideration in decision making.     

Modal non‐linear regression in the presence of Laplace measurement error

In this paper, we propose a robust estimation procedure for a class of non‐linear regression models when the covariates are contaminated with Laplace measurement error, aiming at constructing an estimation procedure for the regression parameters which are less affected by the possible outliers, and heavy‐tailed underlying distribution, as well as reducing the bias introduced by the measurement error. Starting with the modal regression procedure developed for the measurement error‐free case, a non‐trivial modification is made so that the modified version can effectively correct the potential bias caused by measurement error. Large sample properties of the proposed estimate, such as the convergence rate and the asymptotic normality, are thoroughly investigated. A simulation study and real data application are conducted to illustrate the satisfying finite sample performance of the proposed estimation procedure.