100例小儿惊厥头颅CT分析

目的 :探讨头颅CT扫描对小儿惊厥病因的诊断价值。方法 :对100例惊厥小儿头颅CT扫描进行回顾分析。结果 :头颅CT正常者54例 ,异常者46例 ,异常率46%。其中颅内感染性疾病27例 ,新生儿缺氧缺血性病变11例 ,颅内占位病变3例 ,脑发育畸形2例 ,脑萎缩2例,脑积水1例。结论 :颅内感染性疾病是惊厥患儿最常见的病因 ,CT检查对小儿惊厥病因诊断有重要价值     

基于移动代理平台Aglet的柔性工作流的研究与实现

分析了柔性工作流管理系统的特点以及可移动Agent技术，提出了一种基于移动代理平台的柔性工作流管理系统的体系结构，并采用Aglet平台实现了原型系统．在原型系统中，业务过程的定义封装在可移动的工作流引擎Agent中，MA(Mobile Agent)迁移到各执行任务的角色所在节点，驱动并监控任务的执行；利用多个Agent之间位置透明的通信、协同工作，使得业务过程的定义在执行中可动态修改，实现了工作流的柔性．     

掺杂Fe3+的纳米TiO2光催化降解氮氧化物研究

利用Fe(NO3)3*9H2O,采用浸渍的方法,制备了掺Fe3+的纳米TiO2.讨论了此种纳米TiO2对氮氧化物的光催化效率,并分析了Fe3+在催化过程中的作用.试验结果表明:Fe3+明显提高了纳米TiO2的光催化性能;在室内自然光作用下对较高质量浓度的氮氧化物均具有较高的光催化效率.通过对TEM照片和XRD谱的分析,从能级理论解释了Fe3+提高催化活性的原因.     

基于移动数据库的异构数据一致性技术研究

从移动数据库体系结构的演变、数据一致性技术的分类和异构数据同步协议(SyncML)的架构等3个方面介绍了基于移动数据库的异构数据的一致性技术，并结合三者优势提出了DM／SMDS模型，为移动环境下快速、高效地实现数据收敛提供了一种可行的解决方案。     

Nd isotopic characteristics of Proterozoic metasedimentary rocks and constraints on their provenance in the eastern segment of Central Tianshan Belt, Xinjiang

Sm-Nd isotopic characteristics, εNd(t) values and Nd model ages (TDM) of Proterozoic metasedimentary rocks in the eastern segment of Central Tianshan Belt (ESCTB), Xinjiang, are used to constrain the sedimentary provenance as well as to evaluate their tectonic implications. εNd(t) and TDM values of these samples range from -4.00 to +6.36 and from 1.29 to 2.29 Ga, respectively. These feature values are distinguished from those of Archean Tarim Craton. Their average εNd(t) values of the Weiya, the Kumishi and the south to the Dikar samples are -2.46, +2.06 and +1.37, respectively. Nd model ages of the Weiya samples vary between 1.86 and 2.29 Ga, but those of the Kumishi and the south to the Dikar samples show a significant concentration at 1.6～1.9 Ga and the youngest Nd model age is 1.29 Ga. Those Nd isotopic characteristics suggest that these metasedimentary rocks could be derived from a significant proportion of Paleoproterozoic crustal source and a participation of young arc materials, rather than Archean Tarim Craton. Furthermore, the data also indicate that these two sources were paleogeographically separated. Thus we can deduce that the Kumishi and the south to the Dikar metasedimentary rocks were formed proximal to the arc side of the back-arc basin, but the Weiya metasedimentary rocks were closer to the continental side of the back-arc basin.     

Inhibitory effect of the adenovirus type 5 E1A protein expressed in the yeast system of the human tumor cell growth

Adenovirus 5 type E1A as a tumor suppressor gene can inhibit tumor growth and enhance the censitivity of chemotherapy and radiotherapy.E1A have the ability to integrate into the host genome,resulting in long-time expres-sion that induces Rb gene inactivation and animal cells im-mortalization.This prompted us to select the E1A protein for treatment of cancer in order to overcome the limitations of E1A gene therapy.Thus,we firstly comstructed E1A eu-caryotic expression vector (pPIC9/E1A),transformated the pichia pastoris yeast cells(GS115) and screened the high-expressing recombinant strains.The positive yeast strains were cultured in the shake flask,and induced for 3d.The crude E1A protein was purified using two steps of col-umu chromatography on HiTrap Q and HiTrap SP.The pu-rified E1A protein was identified by SDS-PAGE and Western blot.E1A protein was mostly located at cellular unclear when Cheriot delivered E1A protein into cells.The analysis in vitro indicated that the E1A protein arrested LN686 cell cycle at G2/M phase,and significantly inhibited the growth of LN686 tumor cells.The current studies firstly provided an experimental basis to further develop E1A protein for tumor treatment.     

基于小波包联合AR功率谱理论的滚动轴承故障诊断

提出了小波包联合自回归功率谱理论的故障诊断方法.对采集的轴承振动信号采用高、低正交共轭镜面滤波器组,将信号划分到不同频道上.滤波器每作用一次,数据点减半,采样的时间增至两倍.选取轴承缺陷所在频段的数据插零,将其他频带补零重构提高缺陷信号的时频分辨率;然后通过AR功率谱分析轴承运行状态,诊断出轴承对应的故障.对207滚动轴承的早期缺陷作了实际诊断,诊断结果与实际较为符合.证明该方法是一种有效的弱信号缺陷提取与诊断方法.     

公路环境仿真系统中三维地面模型简化

随着“虚拟现实”技术的进一步发展 ,它在公路管理中将会有较好的应用前景。但由于其需要依赖较为复杂的数字地面模型的支持 ,这必将制约其更为广泛的应用 ,基于这一情况 ,对公路环境仿真系统中三维地面模型的 DTMs模型及 TIN模型的简化技术作了一定的讨论 ,并提出了一些具体的、实用的算法。     

入侵检测系统的数据收集机制研究

基于对入侵检测所采用的数据收集方法的分类和分析，提出了一种基于多代理的分布式数据收集模型，介绍了该模型的数据收集方法和协同检测过程，该模型分别在网络的关键入口处以及主机的重要应用和网络接口处部署检测代理，各检测代理根据不同情况采用不同的数据收集方法对各种可疑数据进行收集，并通过协调代理对下层检测代理提交的数据进行协同分析。结果表明，这种数据收集模型为协同检测奠定了基础，提高了对分布式攻击的检测能力。     

基于质量指标的球团焙烧先进过程控制

以某烧结厂球团焙烧过程中燃烧控制系统为研究对象，针对生产过程中因果非线性及条件不确定等因素的影响，综合运用网络技术、软测量技术、模糊控制和专家系统等，提出一种焙烧过程的质量控制策略和先进过程控制(APC)方案，设计了基于神经网络的模糊化软测量(FNNSS)模型。采用软测量的方法实现生产综合条件指标即广义透气性的测定，对不同的透气性采取不同的控制策略，并进行了仿真研究。