Escherichia coli prlC gene encodes a trypsin-like proteinase regulating the cell cycle

BACKGROUND AND PURPOSE: Mood disorders are common after stroke and may impede physical, functional, and cognitive recovery, making early identification and treatment of potential importance. We aimed to compare the accuracy of the General Health Questionnaire (GHQ-30) and the Hospital Anxiety and Depression (HAD) Scale in detecting psychiatric morbidity after stroke and to determine the most suitable cutoff points for different purposes. METHODS: One hundred five hospital-referred stroke patients completed both the GHQ-30 and HAD Scale 6 months after onset before a blinded psychiatric assessment in which the Schedule for Affective Disorders and Schizophrenia with some supplementary questions was used to determine a DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) diagnosis. Measures were compared in terms of sensitivity, specificity, and receiver operating characteristic curves. RESULTS: No significant differences were found between the GHQ-30 and the HAD Scale in identifying those patients with any DSM-IV diagnosis (P=0.95), grouped depression (P=0.56), or anxiety (P=0.25) disorders. The previously recommended cutoff points for identifying "cases" for the GHQ (4/5) and for the HAD Scale (8/9 and 11/12) were found to be suboptimal in this population. CONCLUSIONS: The GHQ-30 and HAD scale exhibited similar levels of sensitivity and specificity. Data are presented, taking into account the "cost" of false-positives and negatives, to allow a choice of cutoff points suitable for differing situations.     

Mechanical behaviour of metal–matrix composite deposits

The electroplating technique is used for producing thin sheets of copper- or nickel-based composites containing different volume fractions of -alumina dispersions. The microhardness and tensile behaviour of such composites, in both the as-deposited and the annealed state, are characterized. The strengthening mechanism of electroplated composites is found to be a combination of Orowan-type strengthening and the Hall–Petch effect.     

电厂炉水磷酸根分析仪的研制

为了实时、精确地测量电厂锅炉水中磷酸根离子浓度,以Lambert--Beer定律为测量原理,研制了一种高精度磷酸根分析仪;系统采用MSP430F149为核心控制器,包含数据采集模块、存储显示模块、外围控制模块和智能报警模块等,提供数据采集和处理、触摸式人机交互、串口通信、智能报警等功能;仪表重复性测量实验和误差性测量实验的数据表明,仪表能准确的测量磷酸根离子浓度,工作稳定性好,可靠性高,符合电厂检测磷酸根浓度的要求.     

基于多目视觉的变形钢板三维测量方法

提出了一种使用4个相机测量变形钢板三维形状的方法;在没有纹理的钢板上画一些点,使用4个相机同时拍摄钢板;利用边缘检测算法找出钢板的边缘,利用特征点提取算法提取出4个图像中钢板上的特征点,并找到4个图像上精确的特征点匹配关系,然后测量出这些特征点的三维点;最后,以这些三维点为种子点向外区域增长,从而得到钢板的三维形状;实验对变形钢板进行三维测量,得到了钢板的精确的三维形状,结果验证了该方法的有效性和可行性。     

改进BM算法策略的网络入侵检测系统设计

入侵检测系统是近几年来网络安全领域的热门技术;传统的网络入侵检测对复杂数据信息和外来攻击都不能进行有效的特征识别,从而导致网络入侵检测准确率较低;因此,为确保网络的安全,结合实际应用过程,将事件防御策略思想引入到网络入侵检测设计中,首先,对网络安全框架和分布式网络检测系统进行了分析,在此基础上对网络检测系统进行改进,最后,利用改进BM算法策略对网络入侵系统进行有效地检测,以满足网络入侵检测实时性的要求;实验表明,该方法的性能优于静态分类器选择的检测方法,提高了检测精确性和安全性,为网络安全的运行提供了可靠的保证。     

Indeterminacy-aware service selection for reliable service composition

With the development of Internet and Web service technology, Web service composition has been an effective way to construct software applications; service selection is the crucial element in the composition process. However, the existing selection methods mostly generate static plans since they neglect the inherent stochastic and dynamic nature of Web services. As a result, Web service composition often inevitably terminates with failure. An indeterminacy-aware service selection algorithmbased on an improved Markov decision process (IMDP) has been designed for reliable service composition, but it suffers from higher computation complexity. Therefore, an efficient method is proposed, which can reduce the computation cost by converting the service selection problem based on IMDP into solving a nonhomogeneous linear equation set. Experimental results demonstrate the success rate of service composition has been improved greatly, whilst also reducing computation cost.     

校园网安全系统的设计与实现

校园网的普及,在提高学校工作效率的同时,也带来了安全方面的隐患。本文分析校园网中网络结构、网络协议和操作系统等方面缺陷,列举了常见的攻击手段。以某高校为例,提出了一个多层次、全方位等校园网安全系统的设计方案,并给出了实现方法。经实践验证,在保证网络效率的前提下,提高了校园网的安全性。     

Community discovery using nonnegative matrix factorization

Complex networks exist in a wide range of real world systems, such as social networks, technological networks, and biological networks. During the last decades, many researchers have concentrated on exploring some common things contained in those large networks include the small-world property, power-law degree distributions, and network connectivity. In this paper, we will investigate another important issue, community discovery, in network analysis. We choose Nonnegative Matrix Factorization (NMF) as our tool to find the communities because of its powerful interpretability and close relationship between clustering methods. Targeting different types of networks (undirected, directed and compound), we propose three NMF techniques (Symmetric NMF, Asymmetric NMF and Joint NMF). The correctness and convergence properties of those algorithms are also studied. Finally the experiments on real world networks are presented to show the effectiveness of the proposed methods.     

Controlling patterns of geospatial phenomena

Modeling spatially distributed phenomena in terms of its controlling factors is a recurring problem in geoscience. Most efforts concentrate on predicting the value of response variable in terms of controlling variables either through a physical model or a regression model. However, many geospatial systems comprises complex, nonlinear, and spatially non-uniform relationships, making it difficult to even formulate a viable model. This paper focuses on spatial partitioning of controlling variables that are attributed to a particular range of a response variable. Thus, the presented method surveys spatially distributed relationships between predictors and response. The method is based on association analysis technique of identifying emerging patterns, which are extended in order to be applied more effectively to geospatial data sets. The outcome of the method is a list of spatial footprints, each characterized by a unique “controlling pattern”—a list of specific values of predictors that locally correlate with a specified value of response variable. Mapping the controlling footprints reveals geographic regionalization of relationship between predictors and response. The data mining underpinnings of the method are given and its application to a real world problem is demonstrated using an expository example focusing on determining variety of environmental associations of high vegetation density across the continental United States.     

一种支持通用θ-Join的并行查询处理机制

并行查询处理,特别是并行连接查询处理技术是并行数据库中的关键技术.然而,目前的并行查询处理方法尚存在着一些局限性,如绝大多数的并行Join算法依赖于Hash方法对数据进行分治,因此只能支持等值Join等查询类型.为了解决这一问题,提出了一种基于伪半连接的通用θ-Join查询处理算法,并给出了基于查询语法树及并行执行计划的并行数据库通用查询处理方法.在此基础上,实现了一个并行分布式数据库原型系统PD-DBMS,实验结果表明,此方法提供了良好的并行查询处理性能.