基于C／S的煤矿生产调度信息管理系统开发与应用

煤矿生产调度是煤矿企业管理中安全生产的指挥中心，对煤矿的安全生产起到了至关重要的作用。在已建成的网络平台的基础上，开发基于C／S模式的煤矿调度管理信息系统（MIS），结合计算机网络技术、数据库技术和信息管理技术，实现矿级调度与集团总调度数据通信、信息资源共享和管理。     

Planning for the 1950 Censuses of Population and Agriculture

The change from the z of “Student's” 1908 paper to the t of present day statistical theory and practice is traced and documented. It is shown that the change was brought about by the extension of “Student's” approach, by R.A. Fisher, to a broader class of problems, in response to a direct appeal from “Student” for a solution to one of these problems.     

基于Web的运动生物力学教学实验系统的设计与实现

运用ASP、JavaScript等Web技术设计出B/S结构的运动生物力学教学实验系统.B/S结构的实验系统使进行运动生物力学实验的实验地点、实验时间变得更为灵活,在一定程度上提高了学生学习的自主性.     

赛珍珠:一位文化边缘人

历时地看,作为美国第一位获得诺贝尔文学奖的女作家,赛珍珠显然没有受到学术界应有的重视。站在全球化语境下去认识赛珍珠,通过引入"文化边缘人"的概念去解读赛珍珠,我们可以找到赛珍珠及其作品被排斥在经典之外的原因。作为文化边缘人,赛珍珠站在了时代的前列,这也是在当今多元文化的语境下她被学术界"重新发现"的主要原因。从这个视角切入,我们可以更好地认识赛珍珠在当代世界文坛的文学地位。     

新世纪新成果--评《赛珍珠纪念文集》

<赛珍珠纪念文集>收录了2002年中国镇江赛珍珠学术研讨会的论文及文章,它的出版,标志着新世纪中国的赛珍珠研究正向纵深推进.该文集主要具有三方面的价值,即资料性、学术性和方法论意义.     

“S+V+R+O”双核谓词格框架研究

在“S +V +R +O”句式中 ,由于述语中心动词V价的不同、宾语的不同 ,补语R语义指向的不同 ,主语S、述语V、补语R、宾语O构成一个复杂的语义网络。弄清楚其中的语义网络 ,就可以着手建立“S +V +R +O”双核谓词格框架了。建立双核谓词格框架 ,可以促进对句子的理解 ,促进现代汉语格系统的建立     

论中国20世纪90年代散文及其发展趋势

我国 90年代出现了一股“散文热” ,其主要标志和特点为 :散文队伍发展壮大 ,散文流派异彩纷呈 ;散文更贴近生活 ,更关注人生 ,更强调表现主体意识 ;散文理论探讨、争鸣十分活跃。但也有不足之处 :散文创作存在“泡沫”现象、“缺钙”现象、散文理论存在薄弱现象。 2 1世纪散文发展趋势 :“散文热”将会持续 ,“网络散文”将迅猛发展 ,散文与高科技的结合势在必行。     

企业发展过程中的成功要素结构变迁——韩国三星企业集团成功之道

企业发展壮大的关键在于 :企业能够在发展的过程中动态调整企业系统的 7S成功要素组合 ,以适应经营环境变化。本文提出了一个企业发展 5阶段与 7S成功要素匹配的理论结构 ,并就三星企业的发展史做了实证研究     

Two Moments of the Logitnormal Distribution

We display the first two moment functions of the Logitnormal(μ, σ²) family of distributions, conveniently described in terms of the Normal mean, μ, and the Normal signal-to-noise ratio, μ/σ, parameters that generate the family. Long neglected on account of the numerical integrations required to compute them, awareness of these moment functions should aid the sensible interpretation of logistic regression statistics and the specification of “diffuse” prior distributions in hierarchical models, which can be deceiving. We also use numerical integration to compare the correlation between bivariate Logitnormal variables with the correlation between the bivariate Normal variables from which they are transformed.     

Estimation under modified Weibull distribution based on right censored generalized order statistics

In this paper, the maximum likelihood (ML) and Bayes, by using Markov chain Monte Carlo (MCMC), methods are considered to estimate the parameters of three-parameter modified Weibull distribution (MWD(β, τ, λ)) based on a right censored sample of generalized order statistics (gos). Simulation experiments are conducted to demonstrate the efficiency of the proposed methods. Some comparisons are carried out between the ML and Bayes methods by computing the mean squared errors (MSEs), Akaike's information criteria (AIC) and Bayesian information criteria (BIC) of the estimates to illustrate the paper. Three real data sets from Weibull(α, β) distribution are introduced and analyzed using the MWD(β, τ, λ) and also using the Weibull(α, β) distribution. A comparison is carried out between the mentioned models based on the corresponding Kolmogorov–Smirnov (K–S) test statistic, {AIC and BIC} to emphasize that the MWD(β, τ, λ) fits the data better than the other distribution. All parameters are estimated based on type-II censored sample, censored upper record values and progressively type-II censored sample which are generated from the real data sets.