免疫抑制因子对宫颈癌患者来源的树突状细胞的体外作用

目的　观察白细胞介素 10 (IL 10 )及血管内皮生长因子 (VEGF)对宫颈癌患者来源的树突状细胞 (DC)的体外抑制作用。方法　培养宫颈癌患者自体DC的小牛血清体系中加入粒 -巨噬细胞集落刺激因子 (GM CSF)、IL 4和肿瘤坏死因子 α(TNF α) ;流式细胞术检测免疫表型 ;甲基噻唑蓝法 (MTT)法检测异体混和淋巴细胞反应 (MLR)和细胞毒实验 ;酶联免疫吸附实验 (ELISA)法检测培养细胞上清液中IL 10和VEGF含量。结果　 10例宫颈癌患者外周血单个核细胞培养 10d后 ,获得 (40± 2 0 ) %的DC ,此类DC共刺激分子的表达减低 ,刺激自体T细胞杀伤癌细胞能力不足 ,分泌IL 10及VEGF的含量却升高。结论　IL 10和VEGF抑制了宫颈癌患者自体DC的功能。     

过江隧道内地铁列车运行的可视化仿真

为了明确武汉轨道交通2号线过江隧道区间坡段对列车运行特性的影响,为运行方案设计提供理论依据,建立武汉轨道交通2号线过江隧道两列车在长大坡道上的动力学模型,展开两列车同轨道运行工况下正常运行和不同动力故障时相对运动的动态仿真,基于Simulink/Virtual Reality Toolbox,对两列车的相对运动实现可视化。结果表明,该分析揭示了隧道内复杂坡段对列车最大运行速度和发车间隔的影响,有效指导过江隧道复杂坡段列车运行的方案设计。     

贵阳南编组站综合集成自动化系统工程设计特点

贵阳南编组站作为在既有编组站上改扩建的大型路网性编组站,其综合集成自动化系统的工程实施具有比较典型的设计特点。从系统结构、系统布局、系统功能、施工过渡方案等方面阐述贵阳南编组站综合集成自动化系统工程的设计特点,以期对今后类似的编组站综合集成自动化系统的工程实施起到一定的借鉴作用。     

地铁环境与设备监控系统运行模式分析与实现

以沈阳地铁1号线为背景,对地铁车站大系统、小系统和区间隧道系统的各种模式进行分析,进而实现模式的触发、冲突判断和模式的执行与反馈.为了实现地铁运行模式的优化设计,通过分析环控系统模式的特点,提出了一种模式数组的设计方法.该方法实现了模式的标准化与模块化设计.     

~(99m)Tc-HL91心肌乏氧组织显像的初步实验研究

目的　验证乏氧组织显像剂99mTc HL91能选择性浓集于缺血的心肌中 ,为临床显像提供依据。方法　制备兔心肌缺血模型 ,观察99mTc HL91在缺血心肌中的分布情况。按常规方法观察99mTc HL91在正常兔体内的分布情况。结果　电生理改变及NBT染色均证实兔左心室LCX区心肌缺血。左心室切片显像见LCX区心肌较LAD区放射性明显增浓。LCX/LAD组织放射性比 :12 0min ,2 .5 7;180min ,3.4 5。99mTc HL91主要分布在肝脏和肾脏 ,其次为胃肠道 ,排泄以泌尿系、肠道为主 ,正常心肌及肺脏中分布少 ,且清除较快。血液清除快。结论　缺血心肌组织较正常组织滞留99mTc HL91明显增高 ,180min时较显著。提示99mTc HL91可用于心肌乏氧显像     

冰蓄冷空调在深圳北站枢纽的应用

与常规空调相比,冰蓄冷空调能起到削峰填谷、平衡电网压力、减缓电厂和输变电设施建设的作用,在宏观上能节约能源,提高电网效率.深圳北站枢纽的空调系统采用冰蓄冷空调,其自动控制系统采用智能控制系统,能自动监视和控制本系统空调设备在最佳状态下运行;其冷水系统采用变频水泵、大温差设计,并采用了较高能效的制冷主机,达到了较好的节能效果.     

Determining damping characteristics of railway-overhead-wire system for finite-element analysis

In order to investigate the damping characteristics of railway-overhead-wire systems, we propose herein an approach based on the continuous wavelet transform (CWT) and two existing formulas concerning Rayleigh damping coefficients (RDCs). In the proposed process, the displacement histories of a real catenary are first obtained by using a set of noncontact photogrammetric devices, following which an exclusive catenary damping ratio related to the first dominant modal component in the catenary response is identified through a complex Morlet CWT. Thereafter, iterative finite-element analysis is conducted to find the optimal RDCs, which involves using two related formulas and the similarity between the catenary displacements obtained by simulation and experimentation. The results of our study demonstrate that this combined approach is constructive, especially for structures with closely spaced modes, such as catenaries. For the case studied herein, the catenary modal damping ratio at 1.19?Hz is approximately 1%, and the mass and stiffness proportional Rayleigh damping coefficients are approximately 0.02845 and 0.00274, respectively.     

基于自适应AR谱与神经网络的车变速器轴承故障诊断

提出了基于自适应AR谱和神经网络的汽车变速器轴承故障诊断方法.该方法采用自适应滤波将轴承振动信号进行滤波,建立AR模型,从而提取出故障轴承的特征,再利用BP神经网络进行故障分类.试验证明该方法适用于汽车变速器轴承的故障诊断.     

钢桥面铺装新体系应用研究

针对钢桥面铺装容易产生开裂、车辙等病害,研究了一种钢桥面铺装新体系,采用橡胶环氧砂浆过渡层提高沥青铺装层与钢板的结合强度.该体系在汉十高速公路的应用,证明其具有较好的粘接强度、抗车辙能力和抗裂性能,具有较好的推广前景.     

Branch-Activated Multi-Domain Convolutional Neural Network for Visual Tracking

Convolutional neural networks (CNNs) have been applied in state-of-the-art visual tracking tasks to represent the target. However, most existing algorithms treat visual tracking as an object-specific task. Therefore, the model needs to be retrained for different test video sequences. We propose a branch-activated multi-domain convolutional neural network (BAMDCNN). In contrast to most existing trackers based on CNNs which require frequent online training, BAMDCNN only needs offline training and online fine-tuning. Specifically, BAMDCNN exploits category-specific features that are more robust against variations. To allow for learning category-specific information, we introduce a group algorithm and a branch activation method. Experimental results on challenging benchmark show that the proposed algorithm outperforms other state-of-the-art methods. What’s more, compared with CNN based trackers, BAMDCNN increases tracking speed.