适应300～350km/h动车组下线运行既有线C2改造方案研究

在高速铁路路网形成之前,利用既有线、提速线路构成动车组的运行网,实现高速铁路与既有线之间的互联互通,是目前迫切的运输需求。以改造工程量最少为前提,从既有线CTCS-2级适应300～350km/h动车运行必备的条件和既有线CTCS-2级临时限速设置原则进行升级改造的必要性2个方面进行分析,得出既有线CTCS-2级列控系统改造方案。该方案已在陇海线西宝段列控系统改造工程中得以验证。     

郑州站至郑州客整所列控方案探讨

介绍了通过对郑州站至郑州客整所间半自动闭塞信号设备按CTCS-2级设备的分析改造,保证郑西高速铁路CRH-300S型动车组在半自动闭塞区间安全运行的目标。     

上海地铁2号线道岔尖轨侧弯病害原因与整治

道岔作为线路轨道设备的重要组成部分,是地铁运输生产的重要基础设施。对上海地铁2号线道岔尖轨侧弯病害的产生原因进行分析,阐述道岔尖轨侧弯病害可能造成的危害,以及整治道岔尖轨侧弯病害的常见方法。     

宫内及哺乳期铅接触子鼠海马神经元凋亡及bcl-2、bax基因的表达

目的　探讨宫内及哺乳期铅接触对子鼠海马神经元凋亡的诱发作用及对bcl 2、bax基因表达的影响。方法　SD大鼠采用饮水加 2 0 0 0mg·L-1醋酸铅染毒 6周后 ,雌雄按 2∶1合笼 ,自然分娩 ,于子鼠断乳时停止染毒 ,用原位末端标记TUNEL法检测海马神经元的凋亡状况 ;用SP免疫组化法观察凋亡调控基因bcl 2、bax表达。结果　TUNEL法染色结果显示 :染铅组子鼠海马CA1、CA3、齿状回 (DG)区神经元细胞凋亡指数均明显高于对照组 ,差异有显著性 (P <0 .0 1) ;SP免疫组化结果显示 :染铅组子鼠海马CA1、CA3、DG区bcl 2阳性细胞数表达较对照组减少 ,而bax阳性细胞数表达较对照组增多。结论　宫内和哺乳期铅接触可导致子鼠海马神经元凋亡 ,其机制可能与海马bcl 2蛋白表达下降、bax蛋白表达升高有关     

校园网中P2P流量的识别及其控制

结合P2P网络应用中出现的问题,分析了P2P对校园网网络流量的影响,提出了如何在校园网中识别和控制P2P,为校园网解决P2P问题提供了相应的方法。     

饮用水消毒剂的特点及杀菌技术的研究

阐述了几种消毒方式的特性及其应用前景,通过对比臭氧,ClO2,微波,KMnO4及紫外线的消毒效果,确定了取代液氯消毒饮水的最佳方案.影响消毒剂效果的主要因素有温度、pH值及作用时间.消毒剂浓度与作用时间的关系可用ct(mg*min/L)值来表示,代表消毒剂的杀菌能力,对大肠杆菌,当pH为6～7时,臭氧、ClO2、氯的ct值分别为0.02,0.40～0.75,0.034～0.050.升高温度会加强消毒剂的灭菌效果,要保持原来的消毒效果就需要延长作用时间或增大消毒剂的剂量.     

EXPRESSION OF MATRIX METALLOPROTEINASE-2 AND VASCULAR ENDOTHELIAL GROWTH FACTOR IN HUMAN GLIOMA AND THEIR RELATION TO THE INVASION OF THE TUMOR

Neovascularizationcanbeobservedinthe courseoftumorformationandmalignantinvasion,whichwillpromotethemalignantinvasionofthe tumor[1].Vascularendothelialgrowthfactor(VEGF)andmatrixmetalloproteinases(MMPs)are theimportantadjustiveproteinsintheinvasionand neov…     

Short/medium-term prediction for the aviation emissions in the en route airspace considering the fluctuation in air traffic demand

This paper proposes a novel short/medium-term prediction method for aviation emissions distribution in en route airspace. An en route traffic demand model characterizing both the dynamics and the fluctuation of the actual traffic demand is developed, based on which the variation and the uncertainty of the short/medium-term traffic growth are predicted. Building on the demand forecast the Boeing Fuel Flow Method 2 is applied to estimate the fuel consumption and the resulting aviation emissions in the en route airspace. Based on the traffic demand prediction and the en route emissions estimation, an aviation emissions prediction model is built, which can be used to forecast the generation of en route emissions with uncertainty limits. The developed method is applied to a real data set from Hefei Area Control Center for the en route emission prediction in the next 5 years, with time granularities of both months and years. To validate the uncertainty limits associated with the emission prediction, this paper also presents the prediction results based on future traffic demand derived from the regression model widely adopted by FAA and Eurocontrol. The analysis of the case study shows that the proposed method can characterize well the dynamics and the fluctuation of the en route emissions, thereby providing satisfactory prediction results with appropriate uncertainty limits. The prediction results show a gradual growth at an average annual rate of 7.74%, and the monthly prediction results reveal distinct fluctuation patterns in the growth.     

Assessing the Potential Impacts of Connected Vehicles: Mobility,Environmental, and Safety Perspectives

The connected vehicle is a rapidly emerging paradigm aimed at deploying and developing a fully connected transportation system that enables data exchange among vehicles, infrastructure, and mobile devices to improve mobility, enhance safety, and reduce the adverse environmental impacts of the transportation systems. This study focuses on micromodeling and quantitatively assessing the potential impacts of the connected vehicle (CV) on mobility, safety, and the environment. To assess the benefits of CVs, a modeling framework is developed based on traffic microsimulation for a real network located in the city of Toronto, Canada, to mimic communication between enabled vehicles. In this study, we examine the effects of providing real-time routing guidance and advisory warning messages to CVs. In addition, to take into account the rerouting in nonconnected vehicles (non-CVs) in response to varying sources of information such as apps, global positioning systems (GPS), variable message signs (VMS), or simply seeing the traffic back up, the impact of fraction of non-CV vehicles was also considered and evaluated. Therefore, vehicles in this model are divided into; uninformed/unfamiliar not connected (non-CV), informed/familiar but not connected (non-CV) that get updates infrequently every 5 minutes or so (non-CV), and connected vehicles that receive information more frequently (CV). The results demonstrate the potential of connected vehicles to improve mobility, enhance safety, and reduce greenhouse gas emissions (GHGs) at the network-wide level. The results also show quantitatively how the market penetration of connected vehicles proportionally affects the performance of the traffic network. While the presented results are pertinent to the specifics of the road network modeled and cannot be generalized, the quantitative figures provide researchers and practitioners with ideas of what to expect from vehicle connectivity concerning mobility, safety, and environmental improvements.     

Web开发中MD5摘要计算的应用——Struts技术实现

MD5的全称是Message-Digest Algorithm 5(信息-摘要算法),在90年代初由MIT Laboratory for Computer Science和RSA Data Security Inc的Ronald L.Rivest开发出来,经MD2、MD3和MD4发展而来。本文首先介绍了MD5算法的概念,然后阐述了Java语言的java.security包对MD5算法的支持,并基于Sun公司Java 2平台企业版(J2EE)MVC框架Struts技术,针对B/S模式毕业设计选题系统中的学生基本信息注册模块所采用的MD5摘要计算作了详细介绍。