不同药物对心理应激猕猴的抗应激作用

以心理应激猕猴为动物模型,比较研究了狒猴应激前后外周血中ACTH、皮质醇、胰岛素以及游离T_(3),T_(4)的变化,并对安定、心得安等药物的抗应激效应进行了初步的探讨。实验结果表明,在应激前后,ACTH、皮质醇呈显著性差异(P<0.05和P<0.01),胰岛素呈上升趋势。安定可使应激动物的ACTH、皮质醇的水平明显降低(P<0.05),但是,对FT_(3),FT_(4)的影响不明显。心得安对各种激素无明显影响。

In vitro anti-HIV and -HSV activity and safety of sodium rutin sulfate as a microbicide candidate

Sodium rutin sulfate (SRS) is a sulfated rutin modified from the natural flavonol glycoside rutin. Here, we investigated its in vitro anti-HIV and -HSV activities and its cytotoxic profile. Fifty percent inhibitory concentration (IC50) values of SRS against HIV-1 X4 virus IIIB, HIV-1 R5 isolates Ada-M and Ba-L were 2.3 +/- 0.2, 4.5 +/- 2.0 and 8.5 +/- 3.8 mu M with a selectivity index (SI) of 563, 575 and 329, respectively. Its IC50 against primary R5 HIV-1 isolate from Yunnan province in China was 13.1 +/- 5.5 mu M, with a Sl of 197. In contrast, unsulfated rutin had no activity against any of the HIV-1 isolates tested. Further study indicated that SRS blocked viral entry and virus-cell fusion likely through interacting with the HIV- I envelope glycoprotein. SRS also demonstrated some activity against human herpes simplex virus (HSV) with an IC50 of 88.3 +/- 0.1 mu M and a Sl of 30. The 50% cytotoxicity concentration (CC50) of SRS was >3.0 mM, as determined in human genital ME 180, HeLa and primary human foreskin fibroblast cells. Minimum inhibitory concentration of SRS for vaginal lactobacilli was >3.0 mM. These results collectively indicate that SRS represents a novel candidate for anti-HIV-1/HSV microbicide development. (C) 2007 Elsevier B.V. All rights reserved.

Real Time Concrete Damage Visual Assessment for First Responders

First responders are in danger when they perform tasks in damaged buildings after earthquakes. Structural collapse due to the failure of critical load bearing structural members (e.g. columns) during a post-earthquake event such as an aftershock can make first responders victims, considering they are unable to assess the impact of the damage inflicted in load bearing members. The writers here propose a method that can provide first responders with a crude but quick estimate of the damage inflicted in load bearing members. Under the proposed method, critical structural members (reinforced concrete columns in this study) are identified from digital visual data and the damage superimposed on these structural members is detected with the help of Visual Pattern Recognition techniques. The correlation of the two (e.g. the position, orientation and size of a crack on the surface of a column) is used to query a case-based reasoning knowledge base, which contains apriori classified states of columns according to the damage inflicted on them. When query results indicate the column's damage state is severe, the method assumes that a structural collapse is likely and first responders are warned to evacuate.

Micro-measurement and monitoring system for ageing underground infrastructure (Underground M3)

Advances in the development of computer vision, miniature Micro-Electro-Mechanical Systems (MEMS) and Wireless Sensor Network (WSN) offer intriguing possibilities that can radically alter the paradigms underlying existing methods of condition assessment and monitoring of ageing civil engineering infrastructure. This paper describes some of the outcomes of the European Science Foundation project "Micro-Measurement and Monitoring System for Ageing Underground Infrastructures (Underground M3)". The main aim of the project was to develop a system that uses a tiered approach to monitor the degree and rate of tunnel deterioration. The system comprises of (1) Tier 1: Micro-detection using advances in computer vision and (2) Tier 2: Micro-monitoring and communication using advances in MEMS and WSN. These potentially low-cost technologies will be able to reduce costs associated with end-of-life structures, which is essential to the viability of rehabilitation, repair and reuse. The paper describes the actual deployment and testing of these innovative monitoring tools in tunnels of London Underground, Prague Metro and Barcelona Metro. © 2012 Taylor & Francis Group.

香溪河大型底栖动物群落结构季节动态

通过大型底栖动物的量化监测,对香溪河水系大型底栖动物季节动态进行研究.共采集大型底栖动物197种,隶属6纲68科,其中,四节蜉、高翔蜉、短尾石蝇为该水系优势类群,不同季节间大型底栖动物优势类群组成存在较大差异.大型底栖动物群落结构以冬季最为复杂,春、秋季次之,夏季相对简单.大型底栖动物功能摄食类群以集食者占优,其次为刮食者、捕食者和滤食者,撕食者丰度最小.典型对应分析表明,不同季节影响底栖动物群落结构的因子差异较大;夏季和秋季营养盐对底栖动物群落结构影响较大,水深对各季度大型底栖动物群落结构均有影响.