食品安全检测知识产权联盟的SWOT分析及发展战略选择

知识产权联盟是代表企业、单位的知识产权权利人基于共同的战略利益,以一组相关的知识产权为纽带达成的联盟。联盟内部的企业实现专利的交叉许可,通过制定技术标准实现对外的专利技术授权许可,风险共担,利益共享。本文以食品安全检测知识产权联盟为例,通过SWOT-AHP分析,研究了联盟成员以及联盟所面临的优势(S)、劣势(W)、机会(O)和威胁(T)分析和识别,在此基础上建立了SWOT战略矩阵框架和战略选择方案。     

Detection of outlying proportions

In this paper we introduce a new method for detecting outliers in a set of proportions. It is based on the construction of a suitable two-way contingency table and on the application of an algorithm for the detection of outlying cells in such table. We exploit the special structure of the relevant contingency table to increase the efficiency of the method. The main properties of our algorithm, together with a guide for the choice of the parameters, are investigated through simulations, and in simple cases some theoretical justifications are provided. Several examples on synthetic data and an example based on pseudo-real data from biological experiments demonstrate the good performances of our algorithm.     

Multiple outliers detection in sparse high-dimensional regression

The presence of outliers would inevitably lead to distorted analysis and inappropriate prediction, especially for multiple outliers in high-dimensional regression, where the high dimensionality of the data might amplify the chance of an observation or multiple observations being outlying. Noting that the detection of outliers is not only necessary but also important in high-dimensional regression analysis, we, in this paper, propose a feasible outlier detection approach in sparse high-dimensional linear regression model. Firstly, we search a clean subset by use of the sure independence screening method and the least trimmed square regression estimates. Then, we define a high-dimensional outlier detection measure and propose a multiple outliers detection approach through multiple testing procedures. In addition, to enhance efficiency, we refine the outlier detection rule after obtaining a relatively reliable non-outlier subset based on the initial detection approach. By comparison studies based on Monte Carlo simulation, it is shown that the proposed method performs well for detecting multiple outliers in sparse high-dimensional linear regression model. We further illustrate the application of the proposed method by empirical analysis of a real-life protein and gene expression data.     

当代大学生诚信缺失原因分析与教育

社会转型中的诚信危机,同样影响着未来社会建设的生力军大学生。古今诚信典范沦为牺牲品、市场利导多元取向的社会大环境、师德与学校德育方式方法及管理体制的缺憾、家庭教育理念与行为的冲突、学生责任意识的薄弱、对诚信持久远大功用反思能力的缺乏,是大学生诚信缺失的主要原因。大学生的诚信教育必须多管齐下,建立多层次的诚信教育体系。     

采用FA和SVDFRM的SVM入侵检测分类模型

提出了一种新型网络入侵检测分类模型,设计了一个基于支持向量机(SVM)的分类器。采用因子分析法(FA)将行为样本的众多相关网络特征融合成精简的综合特征,实现了对网络监测数据的降维。利用支持向量决策函数排序法(SVDFRM),通过支持决策向量函数得到网络行为的特征贡献率并提取网络行为的重要特征。KDD99数据集测试实验结果表明,提出的分类模型降维效果显著,具有较好的实时性和较高的检测率。     

论股东大会提案的审查

对公司法未规定股东大会提案审查制度的缺陷以及股东大会实践运作过程中因没有对股东大会提案进行审查所导致的问题进行了理论分析,阐述了建立股东大会提案审查制度的重要意义,提出了如何确定股东大会提案审查主体以及通过诉讼途径解决股东大会提案争议的理论主张。     

Early warning CUSUM plans for surveillance of negative binomial daily disease counts

Automated public health surveillance of disease counts for rapid outbreak, epidemic or bioterrorism detection using conventional control chart methods can be hampered by over-dispersion and background (‘in-control’) mean counts that vary over time. An adaptive cumulative sum (CUSUM) plan is developed for signalling unusually high incidence in prospectively monitored time series of over-dispersed daily disease counts with a non-homogeneous mean. Negative binomial transitional regression is used to prospectively model background counts and provide ‘one-step-ahead’ forecasts of the next day's count. A CUSUM plan then accumulates departures of observed counts from an offset (reference value) that is dynamically updated using the modelled forecasts. The CUSUM signals whenever the accumulated departures exceed a threshold. The amount of memory of past observations retained by the CUSUM plan is determined by the offset value; a smaller offset retains more memory and is efficient at detecting smaller shifts. Our approach optimises early outbreak detection by dynamically adjusting the offset value. We demonstrate the practical application of the ‘optimal’ CUSUM plans to daily counts of laboratory-notified influenza and Ross River virus diagnoses, with particular emphasis on the steady-state situation (i.e. changes that occur after the CUSUM statistic has run through several in-control counts).     

SOJ干扰下雷达网检测性能分析

通过建立SOJ干扰时雷达的检测概率分布模型,研究了雷达网在秩K准则和Neyman-Pearson准则时检测概率分布,仿真了不同准则时雷达网的检测概率分布图,分析比较了以上2种融合准则的融合性能.通过仿真发现,雷达网检测概率分布图克服了传统方法利用单个空间位置检测概率描述雷达网性能的局限性,并且为干扰下雷达网融合准则的选取提供了一个更全面、更直观的参考.     

从政府机关起诉学生家长谈我国未成年人法律缺陷

《刑法》和《民法通则》以外的未成年人法律和相关法规缺乏操作性,对未成年人合法权益起不到应有的保护作用。应该克服为立法而立法的倾向,通过完善未成年人法律的程序制度,提高未成年人法律的适用性和保护功能。     

电路级栅氧短路故障的动态电流测试分析

栅氧短路故障对于集成电路的稳定性有着重要的影响,故障行为会在不产生逻辑错误的情况下导致参数失效。该文使用了一种电路级的故障模型模拟栅氧短路故障,研究了栅氧缺陷对与非门电路的影响,选取了适合于电流测试的测试矢量,对未发生逻辑错误的故障电路的动态电流进行分析。在实验中采用了TSMC0.18μm CMOS工艺,仿真结果显示通过分析电源通路上的动态电流可以检测有潜隐性故障的器件。与电压测试方法相比,动态电流测试能更好地对栅氧短路缺陷进行诊断。