基于可信性理论下的EPQ问题的期望值模型

基于可信性理论,本文给出了不允许缺货的经济生产量(EPQ)问题的期望值模型;研究了当单位生产准备费、单位储存费均为模糊变量且相互独立的情况下EPQ 问题的最佳期望单位存储费用、最佳期望单位生产批量及最佳期望生产周期,并得出了一些重要的结论;特殊情况下,讨论了当模型中的模糊参数分别为三角模糊变量、梯形模糊变量及正态模糊变量情况下的EPQ 问题的最优存储策略;最后,针对上述三种情况本文分别给出了一些数值例子验证了模型的有效性和合理性;本文所得到的结果为求解EPQ 问题设计算法提供了理论依据.     

对范·路文兹瓦特翻译比较模式的再思考

文章从理论阐述、译例选取两方面突出了范·路文兹瓦特（Kitty Van Leuven—Zwart）的比较模式在翻译转换中的理论意义和实用价值，结合东西方不同翻译理论流派的观点，从其可操作性和理论根源上剖析了比较模式的合理性、科学性以及存在的缺陷。     

强化学习型匝道控制模型的研究

高速公路上的交通堵塞造成了道路利用效率低下，并伴随着能源消耗和环境污染问题，因此各种各样的高速公路控制方法应用于缓解交通堵塞。本文提出强化学习型匝道控制模型，该模型以交通流模拟为预测工具，以人工智能的强化学习为最优化选择模型，并具有一定的自主性、有记忆功能和性能反馈功能，且是一种动态的过程。应用JAVA针对不同的交通状态进行模拟再现，模拟结果表明匝道控制模型对于减少交通堵塞具有显著的效果。     

Home-Based Palliative Care Study

Abstract

Purpose: To examine differences in site of death and costs of services by primary diagnosis for patients receiving home-based palliative care as compared to usual care at the end of life verity of illness, service use, and site of death.

Design and Methods: A nonequivalent group design was employed with 298 terminally ill patients diagnosed with cancer, CHF, or COPD enrolled. The treatment group received an interdisciplinary home-based palliative care program and the comparison group received usual Kaiser Permanente services. Data collected included patient demographics, se-

Results: Among all diseases, patients enrolled in palliative care were more likely to die at home. Enrollment in palliative care was significant associated with cost reductions for patients with cancer, COPD, and CHF. No significant difference was found between diagnostic groups in terms of magnitude of cost savings.

Implications: Provision of interdisciplinary home-based palliative care at end of life can effectively increase the likelihood of dying at home for patients with CHF, COPD, and cancer while realizing significant COSt savings.     

对高校动漫人才培养的思考

随着动漫产业的高速发展，其人才的培养也越来越受到业界和相关部门的高度重视。高校作为培养动漫人才的重要基地，是发展动漫产业与培养动漫人才的孵化器，文章针对高校培养动漫人才教育问题进行了讨论，并提出了若干对策建议。     

Order statistics from the linear-exponential distribution,part I: increasing hazard rate case

For the linear-exponential distribution with increasing hazard rate, exact and explicit expressions for means, product moments and percentage points of order statistics are obtained. Some recurrence relations for both single and product moments of order statistics are also derived. These recurrence relations would enable one to obtain all the higher order moments of order statistics for all sample sizes from those of the lower order     

Social services and deviation from the Bismarckian model in Italy: the absence of a nationwide trend of change

This article analyses the processes of deviation from the Bismarckian welfare model in Italy, with a focus on social assistance. The sector was reformed in 2000, with new service provision functions being assigned to local institutions and the affirmation of a universalistic principle of access. However, an analysis of social expenditure data and a review of the process of implementation of the reform demonstrate that many local governments have been unable to enact the innovation and that a homogeneous nationwide trend of deviation from the Bismarckian tradition is absent. This absence is explained by looking both at the local institutional arrangements that have historically characterized the different Italian territories and at the present relationships among national, regional, and local governments.     

西安新农村建设规划的地域特色研究

模糊的建设目标，非根植性的规划模式，急功近利的建设速度等致使西安新农村建设羁绊丛丛。针对西安新农村建设所存在的问题，结合西安新农村建设的现实基础，明确提出了西安新农村建设的目标体系，归纳总结了近年来西安新农村建设的适宜模式，并初步提出了提高西安新农村建设规划综合效益的改进策略，以期高效推进西安新农村建设的有序开展。     

Approximate estimation in nonlinear panel data models

This paper is concerned with the estimation of a general class of nonlinear panel data models in which the conditional distribution of the dependent variable and the distribution of the heterogeneity factors are arbitrary. In general, exact analytical results for this problem do not exist. Here, Laplace and small-sigma appriximations for the marginal likelihood are presented. The computation of the MLE from both approximations is straightforward. It is shown that the accuracy of the Laplace approximation depends on both the sample size and the variance of the individual effects, whereas the accuracy of the small-sigma approximation is 0(1) with respect to the sample size. The results are applied to count, duration and probit panel data models. The accuracy of the approximations is evaluated through a Monte Carlo simulation experiment. The approximations are also applied in an analysis of youth unemployment in Australia.     

Computing the probability of hash table/urn overflow

We analyze the probability of a random distribution of n balls into m urns of size b resulting in no overflows. This solves the computational problem associated with a classical combinatorial extreme-value distribution. The problem arose during the analysis of a technique, called perfect hashing, for organizing data in computer files. The results and techniques presented can be used to solve several problems in the analysis of hashing techniques