中国大学生非理性观念与情绪困扰的调查研究

依据艾里斯提出的"非理性观念与情绪困扰的ABC理论",对中国当代大学生情绪困扰的内在认知因素--非理性观念进行本土研究.从两性对比的角度,对非理性观念在大学生认知方式中存在的现状、特点和差异进行调查,以期为消除情绪困扰和重建认知方式提供一定的科学依据与对策.结果表明(1)大学生普遍存在非理性观念且自我意识不足.(2)非理性观念是导致他们产生大部分情绪困扰的原因.(3)男女大学生的非理性观念诸项目因子无明显性别差异.     

Economic and economic–statistical designs of VSI Bayesian control chart using Monte Carlo method and ABC algorithm

The usual practice in using a Bayesian control chart to monitor a process is done by taking samples from the process with fixed sampling intervals. Recent studies on traditional control charts have shown that variable sampling interval (VSI) scheme compared to classical scheme (fixed ratio sampling, FRS) helps practitioners to detect process shifts more quickly. In this paper, the effectiveness of VSI scheme on performance of Bayesian control chart has been studied, based on economic (ED) and economic–statistical designs (ESD). Monte Carlo method and artificial bee colony algorithm have been utilized to obtain optimal design parameters of Bayesian control chart (sample size, sampling intervals, warning limit and control limit) since the statistic of this approach does not have any specified distribution. Finally, VSI Bayesian control chart has been compared to FRS Bayesian and VSI X-bar approaches based on ED and ESD, separately. According to the results, it has been found that the performance of VSI Bayesian scheme is better than FRS Bayesian and VSI X-bar approaches.     

Class‐Based Storage with a Finite Number of Items: Using More Classes is not Always Better

Class‐based storage is widely studied in the literature and applied in practice. It divides all stored items into a number of classes according to their turnover. A class of items with higher turnover is allocated to a region closer to the warehouse depot. In the literature, it has been shown that the use of more storage classes leads to a shorter travel time for storing and retrieving items. A basic assumption in this literature is that the required storage space for all items equals their average inventory level, which is valid only if an infinite number of items can be stored in each storage region. This study revisits class‐based storage by considering each storage space to contain only a finite number of items. We develop a travel time model and an algorithm that can be used for determining the optimal number and boundaries of storage classes in warehouses. Different from the conventional research, our findings illustrate that commonly a small number of classes is optimal. In addition, we find the travel time is fairly insensitive to the number of storage classes in a wide range around the optimum. This suggests that a manager can select a near‐optimal number of storage classes in an easy way and need not be worried about the impact of storage‐class reconfigurations. We validate our findings for various cases, including different ABC‐demand curves, space‐sharing factors, number of items, storage rack shapes, discrete storage locations, and stochastic item demand.     

基于粗糙集理论-神经网络-蜂群算法集成的客户流失研究

针对电信客户流失问题的复杂性,融合粗糙集理论、神经网络和蜂群算法的优势,提出了一种新的客户流失预测模型——基于粗糙集理论、神经网络和蜂群算法线性集成多分类器的客户流失预测模型。首先利用自组织神经网络(SOM)对连续属性值进行非监督离散化处理;接着使用粗糙集方法(RS)对离散属性进行约简;然后分别使用BP神经网络、RBF神经网络、ELMAN神经网络和广义回归神经网络(GRNN)在约简属性集上建立4个子分类器;最后使用模型集成法对4个子分类器进行线性集成,并采用人工蜂群(ABC)算法优化线性组合的权重。将该模型应用于某电信客户流失,实验结果表明该集成方法是可行且有效的。     

基于模糊评价和ABC分析法的库存管理优化研究

本文以H公司为例,提出ABC分析法与模糊综合评判法相结合的办法对多影响因素下的复杂库存产品进行分类排序,优化库存管理。     

论ABC管理法在档案库房改造中的应用

ABC档案管理法可应用于档案库房改造。其指导意义具体表现在四个方面 ,即档案库房建筑的整体性、层次性、大小性及配套性等等     

构建ABLE城市促进CBD向ABC转换——从东京丸之内再开发看现代CBD的发展趋势

东京丸之内中央商务区是承担日本经济中枢的商务区,在经历了上世纪六七十年代高速成长后,已成为日本的“形象”。在当今竞争日益激烈的全球化背景下,丸之内中央商务区积极应对挑战,开始着手对本地区的基础设施和建筑物进行第三次大规模的再开发,并将其作为实现“东京都危机突破战略”的重要抓手。本文通过对丸之内再开发战略的分析和研究,揭示了现代CBD的发展趋势,并以此为基础,对上海陆家嘴CBD建设加以思考,提出改进和突破的对策。     

火电企业环境成本估算模型研究

在全面介绍环境成本相关理论的基础上,阐述了火电企业环境成本的计算方法,提出了火电企业环境成本估算模型,并结合火电企业环境成本的现状,论证了火电企业全面使用排污设备对实现资源的优化配置和减少污染物排放的作用.     

道路交通公示语的翻译规范化研究——以河南省焦作市道路交通公示语为例

以河南省焦作市为例,探讨了道路交通公示语的英语翻译规范化问题。在焦作市广泛搜集了大量的道路交通英文公示语,并结合在美国搜集到的大量英语平行文本,在林克难"看易写"原则和丁衡祁ABC模式(the Adapt-Borrow-Create模仿-借用-创新)的指导下,对一些不规范的英文公示语进行了分类和完善。并指出,从根本上改进道路交通的英文公示语需要翻译界、政府部门、道路交通相关部门和普通大众等的共同努力。     

Image reconstruction by adaptive bayesian classification with a locally proportional prior

This paper concerns the problem of reconstructing images from noisy data by means of Bayesian classification methods. In Klein and Press, 1992, the authors presented a method for reconstructing images called Adaptive Bayesian Classification (ABC). The ABC procedure was shown to preform very well in simulation experiments. The ABC procedure was multistaged; moreover, it involved selecting a prior at Stage n that was the posterior at Stage n - 1. In this paper the authors show that we can improve upon ABC for some problems by modifying the way we take the prior at each stage. The new proposal is to take the prior for the pixel label at each stage as proportional to the number of pixels with that label in a small neighborhood of the pixel. The ABC procedure with a locally proportional prior (ABC/LPP) tends to improve upon the ABC procedure for some problems because the prior in the iterative portion of ABC/LPP is contextual, while that in ABC in non- contextual.