葛根素对血管性痴呆大鼠海马中低氧诱导因子-1α和红细胞生成素表达的影响

目的观察葛根素对血管性痴呆(VD)大鼠海马中低氧诱导因子-1α和红细胞生成素表达的影响并探讨其可能机制。方法采用大鼠双侧颈总动脉永久性阻断法(2-VO)建立VD的动物模型,SD大鼠随机分为假手术组、2-VO组和葛根素组,每组又分为1周、3周、6周、2月(n=6)四个时间点;应用Y型水迷宫实验测定动物的学习记忆能力,采用免疫组化法检测大鼠海马CA1区HIF-1α和EPO蛋白的表达。结果①2-VO组和葛根素组大鼠游全程时间和误入盲端次数均显著增加,但各时间点葛根素组大鼠的学习记忆成绩均显著优于2-VO组。②各时间点,2-VO组和葛根素组大鼠海马CA1区HIF-1α和EPO的表达均较假手术组明显增高,但葛根素组两种蛋白的表达均较2-VO组明显降低。结论葛根素可提高缺血脑组织细胞内氧浓度,改善学习记忆功能,对VD具有确切的保护作用。     

Comparing prediction methods for maritime accidents

ABSTRACT

The purpose of maritime accident prediction is to reasonably forecast an accident occurring in the future. In determining the level of maritime traffic management safety, it is important to analyze development trends of existing traffic conditions. Common prediction methods for maritime accidents include regression analysis, grey system models (GM) and exponential smoothing. In this study, a brief introduction is provided that discusses the aforementioned prediction models, including the associated methods and characteristics of each analysis, which form the basis for an attempt to apply a residual error correction model designed to optimize the grey system model. Based on the results, in which the model is verified using two different types of maritime accident data (linear smooth type and random-fluctuation type, respectively), the prediction accuracy and the applicability were validated. A discussion is then presented on how to apply the Markov model as a way to optimize the grey system model. This method, which proved to be correct in terms of prediction accuracy and applicability, is explored through empirical analysis. Although the accuracy of the residual error correction model is usually higher than the accuracy of the original GM (1,1), the effect of the Markov correction model is not always superior to the original GM (1,1). In addition, the accuracy of the former model depends on the characteristics of the original data, the status partition and the determination method for the status transition matrix.     

Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data

Global Positioning System (GPS) technologies have been increasingly considered as an alternative to traditional travel survey methods to collect activity-travel data. Algorithms applied to extract activity-travel patterns vary from informal ad-hoc decision rules to advanced machine learning methods and have different accuracy. This paper systematically compares the relative performance of different algorithms for the detection of transportation modes and activity episodes. In particular, naive Bayesian, Bayesian network, logistic regression, multilayer perceptron, support vector machine, decision table, and C4.5 algorithms are selected and compared for the same data according to their overall error rates and hit ratios. Results show that the Bayesian network has a better performance than the other algorithms in terms of the percentage correctly identified instances and Kappa values for both the training data and test data, in the sense that the Bayesian network is relatively efficient and generalizable in the context of GPS data imputation.     

重装备牵引车集装箱运输应用研究

为促进我军汽车部队集装箱与重装备的运输能力的发展,提出将重装备牵引车应用到集装箱运输中。在分析重装备运输车应用到集装箱运输中的必要性的基础上,对照外包物流公司运输,介绍了其成本—效益分析方法和量化方法,并以进藏冻肉冷藏集装箱铁公联运试点为例、对成本、效益进行了估算,验证了该运输方式的经济性和可行性。     

驾驶特性对交通安全的影响分析

本文基于对人类行为模式的研究,并以此作为参考,将驾驶员的信息处理过程划分为感知、判断、操纵三个阶段。分析感知特性、判断特性、操作特性对交通安全的影响。     

山区高速公路长大下坡路段避险车道 设置位置研究

本文在分析了避险车道现状问题和安全影响因素的基础上,通过货车在雅西高速公路上的制动鼓温度变化实车试验,建立货车在山区高速公路长大下坡路段行驶时的制动鼓温度变化模型,然后在试验的基础上建立一套适用于山区高速公路的避险车道设置位置理论计算方法,以此来确定避险车道的设置位置和设置间距.     

Dual objective active suspension system based on a novel nonlinear disturbance compensator

This paper proposes an active suspension system to fulfil the dual objective of improving ride comfort while trying to keep the suspension deflection within the limits of the rattle space. The scheme is based on a novel nonlinear disturbance compensator which employs a nonlinear function of the suspension deflection. The scheme is analysed and validated by simulation and experimentation on a laboratory setup. The performance is compared with a passive suspension system for a variety of road profiles.     

Experimental study of EGR cooler regeneration aided by oxygen-fed NTP and air-fed NTP

Based on non-thermal plasma (NTP) technology fed by oxygen and air as the gas source respectively, the experimental system of exhaust gas recirculation (EGR) cooler regeneration was built to do a study at different regeneration temperatures. By measuring the concentration of main active substance and CO_x in regeneration process, the influence of temperature on regeneration aided by oxygen-fed NTP and air-fed NTP was investigated. The experimental results indicate that EGR cooler can be regenerated both by air-fed NTP and oxygen-fed NTP at a wide temperature range of 18 °C ～ 300 °C. By comparison of the regeneration with oxygen-fed NTP and air-fed NTP, it can be easily known that the regeneration effect is most remarkable at 150 °C with oxygen-fed NTP and at 120 °C with air-fed NTP. In addition, when the temperature is below 150 °C especially at 120 °C, the regeneration efficiency of air-fed NTP is lower than oxygen-fed NTP, nevertheless, when the temperature is above 150 °C, air-fed NTP has a superiority in regeneration and the higher the temperature is, the more obvious the superiority will be.     

《传真天气图的计算机接收识别系统》接收的天气图的细化及矢量化方法

研究并阐述适合于气象传真天气图的细化及矢量化方法.针对细化后图形的连续性、细化中所采用的处理过程及处理方式上的几类细化算法进行比较,并着重讨论细化的混合方法.     

交通运输行业能耗统计监测平台设计

构建一个基于Internet网络的数据平台,综合利用抽样数据填报、实时能耗数据监测两种手段,基于影响能耗和排放的相关因素,分类统计和计算交通运输业能耗及排放数据.利用该统计监测平台,可全面、准确掌握交通运输业,以及各子类行业能耗结构.结合交通运输行业内不同产业结构,以及行业内生产能耗结构,为能耗评价提供判断基础和借鉴,为行业的发展决策提供依据和指导.