Investigation Driven by Network Pharmacology on Potential Components and Mechanism of DGS,a Natural Vasoprotective Combination,for the Phytotherapy of Coronary Artery Disease

Phytotherapy offers obvious advantages in the intervention of Coronary Artery Disease (CAD), but it is difficult to clarify the working mechanisms of the medicinal materials it uses. DGS is a natural vasoprotective combination that was screened out in our previous research, yet its potential components and mechanisms are unknown. Therefore, in this study, HPLC-MS and network pharmacology were employed to identify the active components and key signaling pathways of DGS. Transgenic zebrafish and HUVECs cell assays were used to evaluate the effectiveness of DGS. A total of 37 potentially active compounds were identified that interacted with 112 potential targets of CAD. Furthermore, PI3K-Akt, MAPK, relaxin, VEGF, and other signal pathways were determined to be the most promising DGS-mediated pathways. NO kit, ELISA, and Western blot results showed that DGS significantly promoted NO and VEGFA secretion via the upregulation of VEGFR2 expression and the phosphorylation of Akt, Erk1/2, and eNOS to cause angiogenesis and vasodilation. The result of dynamics molecular docking indicated that Salvianolic acid C may be a key active component of DGS in the treatment of CAD. In conclusion, this study has shed light on the network molecular mechanism of DGS for the intervention of CAD using a network pharmacology-driven strategy for the first time to aid in the intervention of CAD.     

改进的MEA-WNN图像复原方法

模糊图像复原是计算机视觉和图像处理领域的重要任务。针对思维进化算法(mind evolutionary algorithm,MEA)和小波神经网络(wavelet neural network,WNN)相结合的图像复原模型中,MEA的得分函数相对差别小、选优功能较弱等问题,提出了一种改进的MEA-WNN图像复原方法。该方法采用逻辑回归函数进行幂律变换,增加得分之间的差别,从而增强MEA的选优功能。将改进的模型与传统的基于WNN和MEA-WNN的图像复原模型进行对比,改进的模型把复原图像峰值信噪比(peak signal-to-noise ratio,PSNR)分别提高15%和6.5%、结构相似性(structural similarity,SSIM)提高了6.1%和5%,实验结果证明改进模型的有效性和优越性。     

基于NTP协议的网络时间服务系统的实现

本文介绍了网络时间协议的基本工作原理,简要分析了在网络路径对称和不对称两种情况下的网络时延问题.论述了网络时间服务器的构建方法和网络授时软件的设计流程.应用数据统计,对网络时延和时差作了详细分析,给出了在软件设计中处理与网络时延和时差相关问题的方法.最后阐明了建立网络时间服务体系的必要性.     

光传输网规划中光缆芯数及光纤类型确定的影响因素

光传输网是电信网的基础,由于光缆线路系统的特殊性,决定了光传输网规划中光缆芯数及光纤类型的确定尤其重要。     

移动短消息系统容灾解决方案探讨

从中国移动对短消息业务中心（SMSC）的组网要求、信令交互过程和MO短消息寻址流程出发,结合移动某省短消息系统的实例,探讨了移动短消息系统的容灾解决方案,最大程度地保障短消息系统的安全可靠性,为用户提供优质服务。     

构建下一代网络中的内容计费系统

本文的内容计费系统建立在下一代网络基础上,以物理的方式增加内容服务网关CSG,对用户数据包进行细粒度的跟踪检查,并根据用户需求将内容信息转发到计费中心来进一步处理。在测试内容计费系统对整个NGN性能影响不大的情况下,该计费方式比传统计费方式更灵活,具有高性能及高可靠性。     

关于GSM手机"自动呼叫限制"功能的分析

GSM手机在入网测试中有一项针对"自动呼叫限制"功能的测试,由于很多厂家对该项功能没有理解透彻,在测试中经常出现不能满足测试要求的现象,影响了产品入网进度和上市时间。文中从"自动呼叫限制"功能的由来、在协议测试中的要求和实现以及在国内入网测试中的要求和关注点等方面进行了全面剖析,希望对同业人员有借鉴作用。     

一种基于CNN的混叠光谱解调算法及FPGA实现

为了解决光纤布拉格光栅(FBG)传感网络的光谱信号混叠问题,基于现场可编程门阵列(FPGA)提出了一种利用卷积神经网络(CNN)模型的混叠光谱信号解调算法,并对其进行硬件实现与加速。通过对模型参数进行定点数量化,压缩网络模型的存储空间,提高FPGA中DSP资源的利用率;利用循环展开和数组重排等硬件优化方法,提高了系统实时性,确定了算法的并行计算方案。研究结果表明,在100 MHz的时钟下,测试集解调精度为1.19 pm,推理速度为每帧14.96μs,光谱解调速率为60 kHz,对于FBG混叠光谱信号解调具有较高的精度和速率。     

Optimization of the transmission mechanism for wireless TCP

A novel method which can detect the possible handoffs for mobile nodes is proposed in this article. The method can be deployed on mobile nodes. So when a possible handoff occurs, mobile nodes can detect and take some necessary actions in time. In this study, the method is also used to optimize the transmission mechanism of Q-TCP. Moreover, the simulation results show that Q-TCP can provide better quality of service （QoS） for mobile nodes when they are moving among different agents.     

基于ARM技术的单兵扩频网络电台设计

设计了基于ARM技术的具有较高传输速率和扩频增益的全数字化单兵网络电台。核心处理器充分考虑了多任务和实时性的要求,采用ARM处理器及嵌入式操作系统uC/OS-II,扩频基带处理器选用扩频处理增益和集成度较高的AMIS-50050芯片,话音采用高压缩比的AMBE压缩算法,语音质量高,组网遵循Ad hoc组网协议。该电台的设计满足单兵对数据、话音、图像传输和系统组网的要求,并具有高性能、高集成度、抗干扰、抗截获、体积小和功耗低的特点。