知识经济与甘肃人力资源的开发管理

本文在探讨知识经济时代人力资源开发与管理特点的基础上 ,从劳动力资源、人才资源等方面入手 ,分析了甘肃人力资源的现状 ,提出了我省应大力发展教育、注重素质培养 ,营造“尊重知识 ,尊重人才”的社会氛围 ,建立合理的人才资源流动、使用新机制等政策性建议     

英国撤离印度时期的土邦政策——兼析克什米尔问题产生的法律背景

传统观点认为,《蒙巴顿方案》导致克什米尔问题的产生。本文通过对英国撤离印度时期的土邦政策进行细致考证,认为《蒙巴顿方案》只是一项计划而已,并不具有法律效力;《印度独立法》才是印巴分治的法律基础,但它并没有明确规定印度土邦的归属。笔者在此基础上明确指出,独立之初的印度和巴基斯坦在克什米尔的行动都缺乏法律依据。     

Pooling designs associated with unitary space and ratio efficiency comparison

Let mathbbF^(2n+d)_q²mathbb{F}^{(2nu+delta)}_{q^{2}} be a (2ν+δ)-dimensional unitary space of mathbbF_q²mathbb{F}_{q^{2}} , where δ=0 or 1. In this paper we construct a family of inclusion matrices associated with subspaces of mathbbF^(2n+d)_q²mathbb{F}^{(2nu+delta)}_{q^{2}} , and exhibit its disjunct property. Moreover, we compare the ratio efficiency of this construction with others, and find it smaller under some conditions.     

浅谈目的论对徽文化翻译的启示

徽州以其特有的人文特色闻名于世,要将徽文化推广出去,翻译是必不可少的过程,在翻译过程中既要兼顾文化效益又要兼顾经济效益。翻译目的论注重的不是译文与原文是否对等,而是强调译文应该在分析原文基础上,以译文预期功能为目的,选择最佳的处理方法。本文旨在翻译目的论的原则指导下,从物质、精神和制度三个方面选择体现徽文化特色的概念阐述并进行翻译,从而达到双方兼顾的作用。     

两晋军府与尚书机构关系考论

两晋时期军府制度逐渐发展定型,并对以尚书制度为核心的国家政治体制产生重大影响,其表现为：在中央层面,加兵公常领录尚书事,或兼领尚书令;地方镇将常兼领尚书省长官。这样,在国家政治生活中就出现了军府制断尚书事,甚至在非常时期成为替代尚书省的“国务总汇”机构,以及军府掾属权过尚书干涉政务等等不正常的现象。这些现象的产生,在一定程度上表明了两晋时期国家政治体制的孱弱。     

深圳十年规划建设理论与实践初探

本文根据深圳十年规划与建设经验,对市场经济条件下的城市规划理论、乡镇城市化、开放型城市的交通与电讯网络、城市生态环境的保护、投资软硬环境的建设,以及如何提高城市规划的科学水平等问题作了探讨。     

Beta-Bernstein Smoothing for Regression Curves with Compact Support

ABSTRACT. The problem of boundary bias is associated with kernel estimation for regression curves with compact support. This paper proposes a simple and uni(r)ed approach for remedying boundary bias in non-parametric regression, without dividing the compact support into interior and boundary areas and without applying explicitly different smoothing treatments separately. The approach uses the beta family of density functions as kernels. The shapes of the kernels vary according to the position where the curve estimate is made. Theyare symmetric at the middle of the support interval, and become more and more asymmetric nearer the boundary points. The kernels never put any weight outside the data support interval, and thus avoid boundary bias. The method is a generalization of classical Bernstein polynomials, one of the earliest methods of statistical smoothing. The proposed estimator has optimal mean integrated squared error at an order of magnitude n ^−4/5, equivalent to that of standard kernel estimators when the curve has an unbounded support.     

Modular-transform based clustering

Spectral clustering uses eigenvectors of the Laplacian of the similarity matrix. It is convenient to solve binary clustering problems. When applied to multi-way clustering, either the binary spectral clustering is recursively applied or an embedding to spectral space is done and some other methods, such as K-means clustering, are used to cluster the points. Here we propose and study a K-way clustering algorithm – spectral modular transformation, based on the fact that the graph Laplacian has an equivalent representation, which has a diagonal modular structure. The method first transforms the original similarity matrix into a new one, which is nearly disconnected and reveals a cluster structure clearly, then we apply linearized cluster assignment algorithm to split the clusters. In this way, we can find some samples for each cluster recursively using the divide and conquer method. To get the overall clustering results, we apply the cluster assignment obtained in the previous step as the initialization of multiplicative update method for spectral clustering. Examples show that our method outperforms spectral clustering using other initializations.     

Developing a variables repetitive group sampling plan based on process capability index C pk with unknown mean and variance

In this paper, variables repetitive group sampling plans are developed based on the process capability index C _pk when the quality characteristic follows a normal distribution with unknown mean and variance. The sampling plan parameters such as the sample size and the acceptance constant are determined to minimize the average sample number. Symmetric and asymmetric cases, in percent defectives due to two specification limits, are dealt with for specified combinations of acceptable quality level and limiting quality level. Tables are provided and examples are given to use proposed plans in practice.     

B-spline estimation for partially linear varying coefficient composite quantile regression models

Abstract

In this article, a new composite quantile regression estimation (CQR) approach is proposed for partially linear varying coefficient models (PLVCM) under composite quantile loss function with B-spline approximations. The major advantage of the proposed procedures over the existing ones is easy to implement using existing software, and it requires no specification of the error distributions. Under the regularity conditions, the consistency and asymptotic normality of the estimators are also derived. Finally, a simulation study and a real data application are undertaken to assess the finite sample performance of the proposed estimation procedure.