Identification of nasopharyngeal carcinoma antigens that induce humoral immune response by proteomic analysis

A proteomics-based approach has been used to identify proteins that commonly elicit a humoral immune response in nasopharyngeal carcinoma (NPC). Sera from 19 newly diagnosed NPC patients and 19 healthy individuals were analyzed for IgG autoantibodies against NPC proteins resolved by 2-DE. Protein spots that exhibited selective reactivity with sera from NPC patients were identified by MS. Among nine identified proteins, cytokeratin 19 (CK19), Erb3 binding protein (EBP1), and Rho GDP dissociation inhibitor-beta (Rho-GDI-2) induced autoantibodies in more than 36.8% of NPC patients but not in healthy individuals. Furthermore, Western blot analysis and immunohistochemical staining were performed to determine the expression and localization of CK19, EBP1, and Rho-GDI-2 in NPC and normal nasopharyngeal mucosal tissues. Up-regulated CK19 and EBP1, but not Rho-GDI-2, were observed in NPC vs. normal tissue. Subcellular localization of the three proteins in NPC tissue was same as that in the normal tissue. Thus, overexpression of CK19 and EBP1 may be one of the mechanisms for their autoantibody development in NPC. To validate the findings of a proteomic analysis, occurrence of autoantibodies against these three proteins was detected by immunoprecipitation and Western blot analysis in additional 30 NPC patients, 23 other types of cancer patients and 20 healthy individuals. Results showed that frequency of autoantibodies against CK19, EBP1 and Rho-GDI-2 in NPC patients was significantly higher than that in other types of cancer patients and healthy individuals. We conclude that CK19, EBP1 and Rho-GDI-2 may have utility in NPC screening and diagnosis.     

TCP／IP协议问题透析

针对TCP／IP在无线和安全领域的应用展开论述,详细分析了TCP／IP在几个关键的地方存在的问题,并分别就慢速启动算法、初始窗口大小、初始窗口增加策略、RTO估计器、延迟响应、内核实现的不足和安全漏洞进行了研究,给出了一些建设性的解决办法,为今后的进一步研究奠定了基础。     

一种基于用户行为的Self集构造和演化方法

对计算机安全免疫系统中Self集构造的可能性和特征码选取的原则进行了探讨性的分析,提出了一种基于用户行为的Self集构造方法。Self集中的特征码包含了用户的操作、操作对象和操作参数。然后阐述了一种通地用户友好度和可信度进行Self集演化的方法。     

利用演化神经网络研究有机污染物色谱保留值

利用分子连接性指数作为分子的描述性参数,定量刻画两类主要环境污染物的分子结构,通过演化神经网络分别建立了多环芳烃（PAH）和酚两类有机污染物的结构与色谱保留值之间的定量关系。计算过程中,采用留十法（Ieave-10-out）对所有化合物进行了计算,并将计算值与实验值进行了比较。     

基于COM与N层B/S结构的SNMP网管研究与实现*

分析了传统单一C/S结构的不足以及新型N层B/S结构的优越性,阐述了基于Web技术的网络管理是未来网络管理的发展趋势,结合现代软件开发中的软件复用理论,提出并设计实现了一种基于COM技术与N层B/S结构的SNMP网管系统模型,着重叙述了该系统中所使用的关键技术与设计要点。     

异构系统集成中基于WS Addressing的消息安全转发方案

由于Web Services原有的消息寻址规范WSRouting存在安全隐患,W3C制定了WSAddressing规范,用于替代WSRouting。提出一种基于WSAddressing规范的解决方案,使用一致的寻址模式发送事件消息来实现消息级的安全,提高异构系统集成的安全性。     

痰液显微图像细胞边缘提取的数学形态学新方法

根据痰液细胞图像的边缘灰度变化特点,在经典微分算子检测基础上,运用适当的改进的数学形态学方法对痰液细胞进行边缘提取。在实验中对同一幅痰液细胞图像分别用Sobel算子、Roberts算子、Laplacian算子和基于数学形态学的方法进行边缘检测。结果表明,基于数学形态学的边缘提取算法对于痰液细胞图像边缘提取有很好的效果。     

基于潜在语义分析的中文文本层次分类技术*

从网络文本自动分类的需求出发,针对基于VSM模型的分类处理中词条无关假设和词条维度过高等问题,对基于类中心向量的分类方法进行了改进。利用LSA分析中的SVD分解获得Web文档的语义特征向量,并在此基础上进行分类处理,在不损害分类精度的同时提高了分类及其后处理速度,并设计实现了一个原型系统。     

Performance lower bounds in stochastic robust and adaptive control

The fundamental issues of capability of robust and adaptive control in dealing with uncertainty are investigated in stochastic systems. It is revealed that to capture the intrinsic limitations of adaptive control, it is necessary to use sup_t types of transient and persistent performance, rather than lim sup_t types which reflect only asymptotic behavior of a system. For clarity and technical tractability, a simple first-order linear time-varying system is employed as a vehicle to explore performance lower bounds of robust and adaptive control. Optimal performances of nominal, robust and adaptive control are explicitly derived and their implications are discussed in an information framework. An adaptive strategy is scrutinized for its achievable performance bounds. The results indicate that intimate interaction and inherent conflict between identification and control result in a certain performance lower bound which does not approach the nominal performance even when the system varies very slowly. Explicit lower bounds are obtained when disturbances are either normally or uniformly distributed     

分时EDF算法及其在多媒体操作系统中的应用

提出了一种新的CPU调度算法－－分时EDF（Earliest Deadine First)算法,该算法能保证硬实时任务不丢失死线,并易于在分时系统中实现。以分时EDF算法为基础,提出一种新的CPU层次调度算法－－HRFSFQ,该算法用于多媒体操作系统时能保证各类任务的QoS。最后通过大量实验证明了上述算法的有效性和正确性。