一个动态学生收费系统的设计

本文采用UCDOS希望汉字操作系统所提供的SDK开发工具在Fozpro数据库开发系统下，采用动态数据库的生成方法设计了一个学生收费管理系统，避免了传统静态数据库的缺陷。     

“生活流”与“意识流”——对新时期小说文体特征的研究

我国新时期小说创作呈现出两种新的独立的文学叙述方式与结构方式,一种是“意识流”,一种是“生活流”。“意识流”遵守的不一定是线性的“顺序”时间,它常常是跳跃的、逆时的、散乱的、交叉性的,打破了因果论、逻辑阐释的时空基础,是对人心灵隐秘的一种原生状态的如实呈现。由于意识形态的原因,我国的“意识流”创作被单纯地看做一种技巧而浅尝辄止,没有深入发展。所谓“生活流”小说创作同样是在结构原则上疏解“情节结构”对世界武断、封闭的阐释,以纪实的态度,还原生活本相,破解单一观念对世界的注释,以开放性的文本提供解读世界的多种可能。但是,在“生活流”小说创作中,由于知识分子放弃了干预生活的努力,从积极的人文立场上退却,一种极端世俗主义、物质主义和功利主义的精神倾向在滋生蔓延、膨胀,足以引起人们的警惕。     

中国传统人文主义的多元流界定及现代意义

人文主义或人文精神是指对人的价值、理想和生存意义作形而上关注的思想、理论或学说,它是一个社会历史范畴,在不同的社会条件或不同的历史时期具有不同的含义。中国传统文化是人文主义或人文精神的主要渊源,实事求是的传承其精华,剔除其糟粕,是建设社会主义和谐社会的需要。     

Detecting homogeneous segments in DNA sequences by using hidden Markov models

In recent years there has been a rapid growth in the amount of DNA being sequenced and in its availability through genetic databases. Statistical techniques which identify structure within these sequences can be of considerable assistance to molecular biologists particularly when they incorporate the discrete nature of changes caused by evolutionary processes. This paper focuses on the detection of homogeneous segments within heterogeneous DNA sequences. In particular, we study an intron from the chimpanzee α-fetoprotein gene; this protein plays an important role in the embryonic development of mammals. We present a Bayesian solution to this segmentation problem using a hidden Markov model implemented by Markov chain Monte Carlo methods. We consider the important practical problem of specifying informative prior knowledge about sequences of this type. Two Gibbs sampling algorithms are contrasted and the sensitivity of the analysis to the prior specification is investigated. Model selection and possible ways to overcome the label switching problem are also addressed. Our analysis of intron 7 identifies three distinct homogeneous segment types, two of which occur in more than one region, and one of which is reversible.     

Partial least squares estimator for single-index models

The partial least squares (PLS) approach first constructs new explanatory variables, known as factors (or components), which are linear combinations of available predictor variables. A small subset of these factors is then chosen and retained for prediction. We study the performance of PLS in estimating single-index models, especially when the predictor variables exhibit high collinearity. We show that PLS estimates are consistent up to a constant of proportionality. We present three simulation studies that compare the performance of PLS in estimating single-index models with that of sliced inverse regression (SIR). In the first two studies, we find that PLS performs better than SIR when collinearity exists. In the third study, we learn that PLS performs well even when there are multiple dependent variables, the link function is non-linear and the shape of the functional form is not known.     

Efficiency improvement from multiple perspectives: An application to Japanese banking industry

The current study focuses on efficiency improvement for banking systems from multiple perspectives, which have different definitions of input/output about various attributes of a banking system. In this research we utilize data envelopment analysis (DEA) and Nash bargaining game (NBG) theory to improve inefficient banks in order to: (1) Make the inefficient bank be the state of Pareto Optimality for multiple perspectives, which can avoid discontentment of some perspectives. (2) Improve a bank by changing its attributes and provide various improving schemes for decision makers. A numerical case study of Japanese banks is also given to show the results of equilibrium solution from multiple perspectives.     

普鲁斯特与无意识

法国作家马塞尔·普鲁斯特在其长篇小说《追忆似水年华》中以无意识的追忆再现了丰富的情感和自然 ,形成一种独特的文体风格和文学流派 ,对现代文学流派产生了重大影响。文章通过作品对作家的风格和内涵进行了分析     

隐含概念漂移的数据流分类算法研究

数据流具有快速性、连续性、多变性及无限性等特性，使得传统的分类方法不再适用。由于数据流多变的特性，设计高效、高精度的分类算法是比较困难的。目前数据流在电信、网络等众多应用领域客观大量存在，因此研究快速的、精确的、稳定的数据流分类系统具有较高的理论价值和应用前景。近年来，大量的研究工作都旨在高效准确地解决隐含概念漂移的数据流的分类问题。本文研究了一些适合数据流的分类算法，根据算法主要思想的不同进行分类，根据每种思想的发展历程对其相应的算法进行论述，并对部分经典算法分析其处理概念漂移的性能，并对进一步可做的工作进行展望。     

Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market

We propose a Bayesian approach for inference in a dynamic disequilibrium model. To circumvent the difficulties raised by the Maddala and Nelson (1974) specification in the dynamic case, we analyze a dynamic extended version of the disequilibrium model of Ginsburgh et al. (1980). We develop a Gibbs sampler based on the simulation of the missing observations. The feasibility of the approach is illustrated by an empirical analysis of the Polish credit market, for which we conduct a specification search using the posterior deviance criterion of Spiegelhalter et al. (2002).     

In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?

It is widely known that significant in-sample evidence of predictability does not guarantee significant out-of-sample predictability. This is often interpreted as an indication that in-sample evidence is likely to be spurious and should be discounted. In this paper, we question this interpretation. Our analysis shows that neither data mining nor dynamic misspecification of the model under the null nor unmodelled structural change under the null are plausible explanations of the observed tendency of in-sample tests to reject the no-predictability null more often than out-of-sample tests. We provide an alternative explanation based on the higher power of in-sample tests of predictability in many situations. We conclude that results of in-sample tests of predictability will typically be more credible than results of out-of-sample tests.