浅论社会公正的重要性及其实现方法

社会公正是我们永恒追求的理想,对我们极其重要。概括起来说其作用如下:是巩固中国共产党执政地位的需要,是社会主义的本质要求,是整个社会价值体系的首要价值,是经济发展的推动力,是社会稳定的基础,是凝聚力量的源泉。但目前社会不公的现象屡见不鲜,形势比较严竣,要扭转这种局面,我们应该从切实实现司法公正、优化财政支出结构、解决三农问题、维护市场经济秩序、完善社会保障制度等几个方面着手。     

敏感属性与不敏感属性对决策树的影响

目前,已有许多种构建决策树的方法。大多数是基于信息熵的,例如,ID3算法,Min-Ambiguity算法以及它们的变异。文中提出了一种新的启发式算法,它是基于属性对于分类的重要程度的。在选择扩展属性时,有两个选择,即敏感属性和不敏感属性,通常人们习惯选择敏感属性而忽视了不敏感属性。文章主要将其应用到了几个具有符号型属性类分明的数据库。根据对几个数据库所做的实验,对这两种方法从几方面进行了比较,指出了他们各自的利弊所在。     

An investigation of mating and population maintenance strategies in hybrid genetic heuristics for product line designs

This research builds on prior work on developing near optimal solutions to the product line design problems within the conjoint analysis framework. In this research, we investigate and compare different genetic algorithm operators; in particular, we examine systematically the impact of employing alternative population maintenance strategies and mutation techniques within our problem context. Two alternative population maintenance methods, that we term “Emigration” and “Malthusian” strategies, are deployed to govern how individual product lines in one generation are carried over to the next generation. We also allow for two different types of reproduction methods termed “Equal Opportunity” in which the parents to be paired for mating are selected with equal opportunity and a second based on always choosing the best string in the current generation as one of the parents which is referred to as the “Queen bee”, while the other parent is randomly selected from the set of parent strings. We also look at the impact of integrating the artificial intelligence approach with a traditional optimization approach by seeding the GA with solutions obtained from a Dynamic Programming heuristic proposed by others. A detailed statistical analysis is also carried out to determine the impact of various problem and technique aspects on multiple measures of performance through means of a Monte Carlo simulation study. Our results indicate that such proposed procedures are able to provide multiple “good” solutions. This provides more flexibility for the decision makers as they now have the opportunity to select from a number of very good product lines. The results obtained using our approaches are encouraging, with statistically significant improvements averaging 5% or more, when compared to the traditional benchmark of the heuristic dynamic programming technique.     

Goal and Personality Trait Development in Emerging Adulthood.

The present research examined continuity and change in the importance of major life goals and the relation between change in goals and change in personality traits over the course of college (N = 298). Participants rated the importance of their life goals 6 times over a 4-year period and completed a measure of the Big Five personality traits at the beginning and end of college. Like personality traits, life goals demonstrated high levels of rank-order stability. Unlike personality traits assessed during the same period and in the same sample, the mean importance of most life goals decreased over time. Moreover, each goal domain was marked by significant individual differences in change, and these individual differences were related to changes in personality traits. These findings provide insights into the relatively unstudied question of how life goals change during emerging adulthood. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Calculation of Coupling Coefficients of Coupled Reactors Theory Using the Generalized Perturbation Theory

Recently, rigorous multi-point equations are derived using the region-wise importance functions to produce fission neutrons. Since the coupling coefficients used in these multi-point equations are calculated with the weight of these importance functions but not the adjoint function used in the conventional perturbation theory, errors due to the change of the flux is introduced in the coupling coefficients for a perturbed system if the unperturbed flux is used.

It is shown that using the generalized perturbation theory, the coupling coefficients using the unperturbed flux can be obtained taking into account the first order change of the flux due to the perturbation, and the same accuracy as the conventional perturbation theory in which the adjoint function is used can be obtained in the case of one-point reactor.     

随机森林算法在温度分布重建中的应用

为提高温度分布重建精度,提出了使用随机森林算法对温度测点进行优化布置的新方法。 将测点位置作为样本特征, 以不同的测点布置方式及其对应的重建误差作为样本数据集。 使用样本数据集构建随机森林模型,评估样本特征重要性,根据 特征重要性排序实现温度测点的优化布置。 设定仿真实验与燃烧实验验证优化布置算法的可行性与有效性。 分析实验数据, 所提出的优化布置算法相对于原有算法,重建精度提升了 20%以上。 研究结果表明,随机森林算法在温度分布重建中具有良好 的应用价值,并为解决工业实际问题提供了新思路。     

中国BT项目关键成功因素研究

中国不少地方政府采取BT模式建设公共项目,但许多BT项目最终并未取得成功,因此有必要对BT项目关键成功因素进行研究。首先梳理BT项目实施流程及工作内容,结合BT项目成功标准,初步归纳影响BT项目成功的关键因素,然后用问卷调查方法对初步关键成功因素进行修正和确认,得到关键成功因素清单,然后扩大问卷调查范围确定各关键成功因素的重要性,并对重要性的调查结果从整体和按角色进行对比分析,所得结果对BT项目中的业主、实施方、监理等各参与方都有借鉴作用。     

关于工程管理的范畴及工程管理的重要性

随着社会经济的不断发展与进步,我国已经进入了生产和发展的黄金时期,工程管理显得尤为重要。本文就从工程管理的涵义等方面,对工程管理的范畴以及工程管理的重要性进行了论述。     

现代网络技术安全分析

随着各企业的不断发展壮大，企业之间和企业内部的联络都离不开互联网，设计专业的资料搜索也离不开互联网，网络已成为现代企业运作和发展不可或缺的一部分。互联网的快速普及以及应用越来越广泛，必然引发一系列的网络安全问题。该文主要分析了网络安全的重要性并针对影响网络安全的一系列问题提出了解决方法。     

考虑元件综合重要度的电网安全性风险评估方法

从系统学角度出发,综合考虑系统中元件的结构属性、状态属性及社会属性,提出一种考虑元件综合重要度的电网安全性风险评估方法。综合元件结构重要度因子模型与元件状态灵敏度因子模型构建元件综合重要度模型,该模型克服了传统风险评估方法中对于不同元件的重要度无法表征的不足;综合考虑电网结构与状态,建立表征电网潮流分布均衡性与负荷损失的严重度模型,完善安全性风险评估指标体系。仿真结果表明,相较于传统方法,该方法对电网N-1故障风险排序更为合理,对N-k故障序列分级风险辨识度更高。