Leonurine Reduces Oxidative Stress and Provides Neuroprotection against Ischemic Injury via Modulating Oxidative and NO/NOS Pathway

Leonurine (Leo) has been found to have neuroprotective effects against cerebral ischemic injury. However, the exact molecular mechanism underlying its neuroprotective ability remains unclear. The aim of the present study was to investigate whether Leo could provide protection through the nitric oxide (NO)/nitric oxide synthase (NOS) pathway. We firstly explored the effects of NO/NOS signaling on oxidative stress and apoptosis in in vivo and in vitro models of cerebral ischemia. Further, we evaluated the protective effects of Leo against oxygen and glucose deprivation (OGD)-induced oxidative stress and apoptosis in PC12 cells. We found that the rats showed anxiety-like behavior, and the morphology and number of neurons were changed in a model of photochemically induced cerebral ischemia. Both in vivo and in vitro results show that the activity of superoxide dismutase (SOD) and glutathione (GSH) contents were decreased after ischemia, and reactive oxygen species (ROS) and malondialdehyde (MDA) levels were increased, indicating that cerebral ischemia induced oxidative stress and neuronal damage. Moreover, the contents of NO, total NOS, constitutive NOS (cNOS) and inducible NOS (iNOS) were increased after ischemia in rat and PC12 cells. Treatment with L-nitroarginine methyl ester (L-NAME), a nonselective NOS inhibitor, could reverse the change in NO/NOS expression and abolish these detrimental effects of ischemia. Leo treatment decreased ROS and MDA levels and increased the activity of SOD and GSH contents in PC12 cells exposed to OGD. Furthermore, Leo reduced NO/NOS production and cell apoptosis, decreased Bax expression and increased Bcl-2 levels in OGD-treated PC12 cells. All the data suggest that Leo protected against oxidative stress and neuronal apoptosis in cerebral ischemia by inhibiting the NO/NOS system. Our findings indicate that Leo could be a potential agent for the intervention of ischemic stroke and highlighted the NO/NOS-mediated oxidative stress signaling.     

GridNet-3D:A Novel Real-Time 3D Object Detection Algorithm Based on Point Cloud

3D object detection based on point cloud has an important application prospect in automatic driving technology.Aiming at the low precision of 3D object detectio...     

660 MW机组D-12-D型磨煤机出力低的原因分析及改造措施

结合D-12-D型磨煤机的特点对磨煤机出力低的原因进行分析和探讨,通过改变分离器的结构、提高热一次风的参数和流量、改变钢球配比等措施,提高了磨煤机出力。     

受恶意程序传染的WSNs可生存性评估

为实现传感节点数据高可靠传输的无线传感器网络WSNs（Wireless Sensor Networks）,提出一种针对受恶意程序传染的聚簇WSNs可生存性评估方法。通过使用能预测恶意程序传染行为的博弈模型,将恶意程序传染的故意性与马尔可夫链的随机性关联,实现利用马尔可夫链中的状态转换描述恶意程序传染行为的目的。使用提出的易感节点可靠度评估指标,根据可靠性理论将聚簇WSNs看作一个“并-串-并”系统,推理得到了一个簇、一条路由直至整个WSNs的可靠度评估指标,最终得到WSNs生存期评估指标。实验分析了影响WSNs可生存性的因素,结果表明提出的方法能有效评估WSNs的可生存性,为设计高可生存的WSNs提供理论基础。     

一遍完成的平衡布点外存模型简化算法

现存的自适应采样的外存模型简化算法均需要多次读取原模型，算法效率较低。该文给出一种仅仅需要读取原模型一遍的自适应顶点聚类算法－平衡布点算法（Balanced Tilling,BT），用于外存模型简化。其关键思想在于通过表面编码记录模型表面，通过对原模型的二次量化（quadric quantization）得到原模型上的细节分布。该算法可以定位出所有类型的细节区域，而其它一些算法只能定位细节边。细节区域将被进一步细化，而平滑区域将被进一步简化。该算法大大减少了输入输出时间，尤其适合处理超大规模模型。内存需求很小，只与输出模型规模有关。     

无线局域网安全分析

安全问题始终是制约无线局域网发展和无线局域网技术进一步推广的关键因素。本文经过分析目前无线局域网所采用的安全措施所存在的问题,提出了几种解决方案。     

穿戴式车载温度振动一体测试系统设计

为了简化车辆测试人员在车辆测试过程中设备安装流程,提高车辆测试效率,设计了一种可长时间工作的穿戴式车载温振一体测试系统。测试节点设备以STM32单片机为主控,采用磁吸式安装,借助于开发的多功能适配器各测试节点可进行同步设置,实现同一时间基准下工作,并以U盘的形式与上位机连接,方便测试数据读取;多功能适配器还可对各测试模块进行充电、参数设置、数据读取和收纳提高了整套设备的勤务性。通过多项实验室功能测试和实车测试表明,本装置的安装方式方便可靠大大缩短了测试装备布置时间;测试系统振动采集精度相对误差1%以内,温度采集误差±0.1 ℃;多设备采集同步时差在μs级别。能够对车辆的温度和振动数据进行有效采集并存储,满足车辆运行状态参数采集的需要。     

混沌与混沌应用

混沌理论是非线性动力学系统的重要组成部分,它揭示了非线性科学的共同属性─有序与无序的统一,确定性与随机性的统一。混沌控制及其应用是非线性科学应用新的研究领域,其研究受到了非常广泛的重视。该文介绍了混沌控制的基本方法,阐述了混沌理论的普遍应用,并对今后的发展方向和困难提出了一些见解。     

巡线机器人越障行为的模糊控制研究

本文针对欠驱动巡线机器人提出分级行为控制器的结构,同时设计一类模糊控制器,来实现其中的机体提升运动,最后分析了该模糊控制系统的稳定性.实验结果证实了其有效性,满足了越障控制系统的要求.     

动态检测汽车轴重

介绍了动态检测汽车轴重的一种方法，分析了微型计算机数据采集及数据处理过程。该检测系统具有安装方便、使用可靠等优点，其测量精度达到±５％。