江西当前新农村建设的重点和难点分析

首先从中央关于社会主义新农村建设20字方针的内涵出发,阐述江西当前新农村建设的“六新”重点,即新农民、新产业、新村庄、新组织、新环境和新服务建设;接着从江西省情出发,分析当前江西新农村建设中所遇到的难点;最后提出社会主义新农村建设应主要实施的政策措施,包括确立战略目标及其相配套的政策、把政策的着力点放在解决农民的“民生”问题、经济成长和农村环境保护上等。     

理工院校金融专业实验室和实习基地建设的几点建议

理工院校金融专业的起步比一些专业性和综合性院校晚,其实验室和实习基地建设明显存在不足。为此,理工院校必须通过制定科学合理的规划,充分加强与领导以及外界企业的联系,学习和借鉴先进的经验、将"产、学、研"完美结合,这样才能实现良好的社会和经济效益。     

以发展粮食产地加工转化促进河南县域经济发展

分析了发展粮食产地加工转化对其县域经济的促进作用、河南省发展产地加工转化的优势和方向。认为应围绕粮食经济发展,优先做好粮食产地加工转化,把粮食加工产业培育成河南省县域经济的主导产业。要把保障国家粮食安全与提高粮农收入有机联系在一起,加大对产粮大县的政策扶持。要在粮食生产基地建立起较为完备的加工体系,延伸产业链,以带动产粮大县发展经济、增加就业,推进工业化、城镇化、农业现代化深度融合和协调发展。     

企业不同生命周期阶段创新着力点选择——基于层次分析法的探讨

本文通过分析企业不同生命周期阶段的创新着力点,构建了创新着力点评价模型;并采用层次分析法,结合实证分析,对各种创新着力点进行量化和排序,得出企业初创期和衰退期的重点是技术创新,成长期和成熟期的重点是管理创新的重要结论。     

悬垂话题句的线性化研究

根据关系化测试法，悬垂话题句可以分为移位生成和基础生成两大类型。话题移位的激发机制来源于移位成分不可解释的[-Topic]特征；线性化理论决定拼读时复制成分的删除模式。移位生成的话题句中，只有删除除了句首所有的话题复本才是最优的选择；基础生成的话题句在循环线性化的理论下可以直接生成。     

基于框架的知识库管理系统

框架系统作为知识表达的最有效方法之一,以其独特的知识结构化风格在知识工程技术中日益受到人们的青睐。本文用Prolog逻辑程序设计语言的表处理技术实现了框架系统,设计出一个基于框架的可自定义并可多途径自行维护的知识库管理系统。     

论济南的区域开发与城市发展

从历史地理角度分析和论述历史时期济南优越的自然环境、便利的水陆交通、发达的地区经济和重要的地理位置是济南兴起和发展的地理基础     

中小型商业裙楼经营模式研究与创新——以南京市为例

以南京市为例，分析中小型商业裙楼空置的原因，研究现有商业地产经营模式，进行租售结合模式创新，提出适合中小型商业裙楼项目的节点招商，对比其他租售结合模式，明确节点招商的权属、租务合同等问题，详述其适用性和操作过程，并提出可能存在的问题。     

A multiple-case deletion approach for detecting influential points in high-dimensional regression

ABSTRACT

In high-dimensional regression, the presence of influential observations may lead to inaccurate analysis results so that it is a prime and important issue to detect these unusual points before statistical regression analysis. Most of the traditional approaches are, however, based on single-case diagnostics, and they may fail due to the presence of multiple influential observations that suffer from masking effects. In this paper, an adaptive multiple-case deletion approach is proposed for detecting multiple influential observations in the presence of masking effects in high-dimensional regression. The procedure contains two stages. Firstly, we propose a multiple-case deletion technique, and obtain an approximate clean subset of the data that is presumably free of influential observations. To enhance efficiency, in the second stage, we refine the detection rule. Monte Carlo simulation studies and a real-life data analysis investigate the effective performance of the proposed procedure.     

A Novel Human Error Probability Assessment Using Fuzzy Modeling

Human error is one of the significant factors contributing to accidents. Traditional human error probability (HEP) studies based on fuzzy number concepts are one of the contributions addressing such a problem. It is particularly useful under circumstances where the lack of data exists. However, the degree of the discriminability of such studies may be questioned when applied under circumstances where experts have adequate information and specific values can be determined in the abscissa of the membership function of linguistic terms, that is, the fuzzy data of each scenario considered are close to each other. In this article, a novel HEP assessment aimed at solving such a difficulty is proposed. Under the framework, the fuzzy data are equipped with linguistic terms and membership values. By establishing a rule base for data combination, followed by the defuzzification and HEP transformation processes, the HEP results can be acquired. The methodology is first examined using a test case consisting of three different scenarios of which the fuzzy data are close to each other. The results generated are compared with the outcomes produced from the traditional fuzzy HEP studies using the same test case. It is concluded that the methodology proposed in this study has a higher degree of the discriminability and is capable of providing more reasonable results. Furthermore, in situations where the lack of data exists, the proposed approach is also capable of providing the range of the HEP results based on different risk viewpoints arbitrarily established as illustrated using a real‐world example.