Study on T lymphocyte subsets and NK cells in patients with Graves＇ disease combined with type 2 diabetes

Objective To investigate changes in T lymphocyte subsets and NK cells in patients with simple Graves' disease (GD)and Graves' disease combined with type 2 diabetes mellitus (GD/T2DM). Methods Fifteen cases of GD/ T2DM were selected from our hospital from November 2001 to November 2004. Before and after therapy thyroid function, thyroglobulin antibody (TGA), thyroid microsomal antibody (TMA) and blood glucose level were measured, and T lymphocyte subsets (CD3, CD4, CD8, CD4/CD8) and NK cells (CD56) were measured by immunofluorescence double labeling monoclonal antibody and flow cytometry, respectively. At the same time, comparison was made with simple GD (15 cases), T2DM (15 cases) and healthy control (20 cases). Results Before therapy, CD4/CD8, CD4 and NK cells in GD/T2DM were less than normal, and there was no significant difference in comparison with simple GD (P<0.05). In T2DM group, only CD4/CD8 and CD4 were less than those of healthy controls (P<0.05). When thyroid function recovered after 1 to 3 months of methimazole treatment in both GD/T2DM and simple GD groups, various indexes recovered, which were more obvious in simple GD. Conclusion Immune hypofunction of GD may be the key to the immune abnormality of GD/T2DM, which is more significant than that of simple GD or T2DM. The recovery of thyroid function and immune abnormality is not consistent, and the recovery of GD is more significant than that of GD/T2DM.     

Energy-aware load-balaning fault-tolerant routing scheme for ad hoc sensor networks

Most routing protocols for sensor networks try to extend network lifetime by minimizing the energy consumption, but have not taken the network reliability into account. An energy-aware, load-balancing and fault-tolerant routing scheme, termed as ELFR was propsed to adapt to the harsh environment. First a network robustness model was presented. Based on this model, the route discovery phase was designed to make the sensors to construct into a hop-leveled network which is mesh structure. A cross-layer design was adopted to measure the transmission delay so as to detect the failed nodes. The routing scheme works with acknowledge （ACK） feedback mechanism to transfer control messages to avoid producing extra control overhead messages. When nodes fail, the new healthy paths will be selected locally without rerouting. Simulation results show that our scheme is much robust, and it achieves better energy efficiency, load balancing and maintains good end-to-end delay.     

信息化战争交通重点目标防护的对策

针对信息化战争条件下战场透明化和打击精确化的特点,从建立和完善"综合集成" 的防护体系、完善伪装防护技术手段、适时做好交通保障器材的储备和更新等方面,提出了交通重点目标防护应采取的技术措施和应对精确打击的相关对策.     

叶集至信阳高速公路工程建设与管理回顾

介绍沪陕高速公路河南省叶集至信阳段前期项目立项、审批、招投标的方法和特点,以及项目实施质量目标的制定和建立一套完整的质量控制体系,加强科技创新的具体办法,及在整个项目建设过程中质量、进度、协调工作的关系特点。     

智能公交一体化系统研究

综合考虑智能公交系统和公交一体化系统,将二者作为分系统,提出智能公交一体化系统的构想,并利用系统工程理论进行初步研究。一方面,智能公交系统作为ITS的一个重要子系统,为解决城市交通问题提供了一条全新且有效的途径;另一方面,公交一体化系统作为城市公交系统的一个必然发展趋势,可以更有效地满足城市居民多元化、多层次的出行需求。从区域调度和票制一体化两个分系统的热点问题入手,论证了在我国城市建立完善的智能公交一体化系统的可操作性,给出了解决该问题的思路,也为智能公交一体化系统在实践中应用提供了一种有效途径。     

UEA-H型混凝土外加剂的应用

通过分析混凝土裂缝产生的原因,提出在混凝土中掺入外加剂能够提高混凝土的抗裂性能。通过介绍UEA—H型混凝土外加剂的化学成分、技术性能特点,得出掺入此外加剂可以控制冷缩裂缝的产生、提高自身结构防水能力。     

熔融缩聚法合成可降解超支化聚乳酸

以D,L-乳酸、葡萄糖酸和丙三醇或季戊四醇为原料,采用熔融缩聚法合成了具有超支化结构的聚乳酸(HPLA).用NMR、GPC、粘度计等测试手段对聚合物进行了表征,并证明了支化结构的存在.所合成的HPLA相对平均分子量较小.水解降解的结果表明随着超支化聚乳酸分子量的增加其水解速率呈减小趋势.DSC和TG表征的结果显示,超支化聚乳酸具有良好的热稳定性,分解温度高于230 ℃,其玻璃化转变温度较低,并且随着分子量的增加而升高.由于超支化结构的存在使得在合成过程中体系的粘度始终较低,因而整个合成反应速度明显要快于同催化剂催化合成LPLA时的反应速度.     

用于模拟螺旋桨负载的双馈电机矢量控制研究

螺旋桨负载模拟是舰船电力推进系统中的重要研究内容.文中利用双馈电机四象限运行以及通过转子侧控制能降低变频器容量的特性,提出了双馈电机能量反馈系统模拟螺旋桨负载特性的方案.采用定子磁链定向的矢量控制策略,利用MATLAB/SIMULINK建立双馈电机模型和控制系统模型,实现不同工况下的稳态和动态特性模拟.仿真结果表明,转矩响应迅速、准确、稳定,采用矢量控制的双馈电机能量回馈系统具有良好的四象限负载特性模拟性能.     

基于工作流与Agent技术的设施管理系统研究

介绍了工作流技术、工作流管理系统、Agent以及多Agent系统的特点,在此基础上将工作流和Agent技术应用到设施管理系统的构建中,给出了工作流与Agent协同管理的方法和框架,并提出了设施管理系统的三层分布式体系结构,即:用户界面层;应用逻辑层及数据服务层.可为后续设施管理系统的开发提供技术上的参考和借鉴.     

不等时距GM(1,1)模型预测地基沉降研究

分别采用直线插值、三次样条插值、BP神经网络3种方法,用M ATLAB语言编制程序将不等时距序列转化为等时距序列,采用灰色理论预测沉降.由于BP神经网络强大的非线性映射功能,可以避免常规插值法所造成的一系列误差.实际工程应用结果表明,利用直线插值、三次样条插值和BP神经网络与灰色理论联合建模所得的预测值与实测值的最大相对误差分别为17.2%,5.9%和4.6%.由此可见BP神经网络和灰色理论联合建立的GM(1,1)模型用于预测路基沉降最为精确.