Predoction Model of Data Envelopment Analysis with Undesirable Outputs

Data envelopment analysis (DEA) has become a standard non-parametric approach to productivity analysis, especially to relative efficiency analysis of decision making units (DMUs). Extended to the prediction field, it can solve the prediction problem with multiple inputs and outputs which can not be solved easily by the regression analysis method.But the traditional DEA models can not solve the problem with undesirable outputs,so in this paper the inherent relationship between goal programming and the DEA method based on the relationship between multiple goal programming and goal programming is explored,and a mixed DEA model which can make all factors of inputs and undesirable outputs decrease in different proportions is built.And at the same time,all the factors of desirable outputs increase in different proportions.     

多重职业背后的“斜杠青年”现象之思

深受机器工业时代"专业化"思维影响的人们认为:以多重职业为典型代表的"斜杠青年"缺乏专业性知识技能和精益求精的工匠精神,因此对这种现象普遍持否定态度。本文结合"斜杠青年"产生的原因,尝试从社会职业旨归视角、互联网思维下的就业新业态、职业生涯发展理论——终身学习社会、能力胜任模型——可迁移技能和自我管理技能四个维度来认识这一现象,引导广大青年学生坚持以追求更多元化的人生和多维度自我实现为目的,立足第一职业,坚持择己所爱原则,从迁移跨界来实现多重职业,争做一名合格的"斜杠青年"。     

加德纳多元智能理论与数学教育改革

美国心理学家加德纳突破了传统智力理论所依据的2个基本假设；人类的认知是一元的；采用单一的，可量化的智能概念对个体进行恰当地描述，并提出了新颖实用的智能概念，他把智能定义为：（1）在实际生活中解决所面临的实际问题的能力；（2）提出并解决新问题的能力；（3）对自己所属文化提供有价值的创造和服务的能力，加德纳对智能的全新定义启发我们应该改变过去“双基”繁、难、多、旧的局面，根据时代的需要重新整合基础知识和基本技能，使它与创新结合起来，加德纳的多元智能理论对整个教育领域有深刻的影响，该理论拓展了传统的数学教育目标，为数学教学提供了新的策略，并为数学学习的评价提供了新视角和新方法。     

以人本理念构建《艺术学概论》新型教学模式

本文就如何将现代教育理念与现代化的教学手段和学科教学相结合,以人本理念构建《艺术学概论》课程教学模式进行了一定的探索。     

大学基础课成绩对专业课成绩的影响

运用多元统计中的典型相关分析法,分析了大学生基础课成绩对专业课成绩的影响,得出的结论是:计算机和概率统计课程对专业课中的统计软件课以及各种统计类课程有较大影响,微积分和英语对西方经济学及双语教学类课程有中等程度的影响,基础课中的法律、思想政治及体育课对专业课几乎没有显著影响。     

基于扫描相关积分法的海面快速目标探测

Conventional scan-to-scan integration correlation （SIC） algorithms can detect small and stationary targets. However, they are ineffective in detecting small and fast-moving targets. This paper presents an improved SIC algorithm together with clutter suppression measures that remove or decrease sea clutter. The algorithm divides the scan-to-scan integration （SI） into two branches, one provides optimum clutter attenuation by means of SI weighting while the other ensures that targets are detected even if they are fast-moving. Sea clutter suppression can lower detection thre-sholds and, at the same time, increase signal-to-clutter ratio. Simulation results show that the proposed approach greatly improves the detection capability for warship radar.     

现役士兵工作满意度与组织承诺的相关研究

采用组织承诺问卷和工作满意度问卷对268名现役士兵进行调查，结果表明，我军士兵表现出较高的工作满意度和更多的组织承诺，士兵的工作满意度和组织承诺具有显著正相关。进一步的回归分析表明，士兵的工作满意度能部分地预测其组织承诺水平。     

The effect of images on item statistics in multiple choice anatomy examinations

Although multiple choice examinations are often used to test anatomical knowledge, these often forgo the use of images in favor of text‐based questions and answers. Because anatomy is reliant on visual resources, examinations using images should be used when appropriate. This study was a retrospective analysis of examination items that were text based compared to the same questions when a reference image was included with the question stem. Item difficulty and discrimination were analyzed for 15 multiple choice items given across two different examinations in two sections of an undergraduate anatomy course. Results showed that there were some differences item difficulty but these were not consistent to either text items or items with reference images. Differences in difficulty were mainly attributable to one group of students performing better overall on the examinations. There were no significant differences for item discrimination for any of the analyzed items. This implies that reference images do not significantly alter the item statistics, however this does not indicate if these images were helpful to the students when answering the questions. Care should be taken by question writers to analyze item statistics when making changes to multiple choice questions, including ones that are included for the perceived benefit of the students. Anat Sci Educ 10: 68–78. © 2016 American Association of Anatomists.     

考试成绩相关性分析的实用性研究

根据对长度为n的两个序列之间相关系数分布规律的理论探讨,得出相关系数的分布为正态分布且方差为1/n的结论,并用以找出大规模考试中成绩记录整场出错的考场.通过对考生成绩的相关性分析,根据相关系数即可迅速锁定可能出错考场,使得只需要抽检不到0.5%的考场,即可基本上找出全部整场出错的考场,从而提高了校对审核的效率.     

联合分析方法中偏好模型选择的推广

对目前国内联合分析应用巾的一些基本偏好模型介绍,进而对其进行一个模型的推广,一般来说,偏好的估计模型有三种:矢量模型(vector model),理想点模型(The ideal-Point),效用函数模型(Part-Worth fouctions)也叫分值函数模型．本文从三种基本的偏好模型推广而得到一个混合模型,进一步讨论模型选择的方法;及其假设检验．