Gastric cancer in proximal site exerts poorer survival outcome with divergent genetic features than distal site

BackgroundAnatomical subsites always harbor specific biological features in carcinogenesis. The divergent prognosis of proximal gastric cancer (PGC) and distal gastric cancer (DGC) has been reported. The current study aimed to comprehensively interpret anatomic subsite-specific genomic profiles, which may improve the effectiveness of personalized management.MethodsSurvival and genomic data from the online Surveillance, Epidemiology, and End Results (SEER) and The Cancer Genome Atlas (TCGA) databases were queried for prognostic and genetic analysis, respectively. Propensity score matching (PSM) analysis was performed to balance patient epidemiological factors. Differentially expressed genes (DEGs) were analyzed using the DESeq algorithm. Functional enrichment was performed by the clusterProfiler package. The protein-protein interaction network of DEGs was predicted by the online STRING database.ResultsA total of 3,955 patient pairs were assembled by PSM in SEER data with even background characteristics. Prognostic analysis indicated worse overall survival of PGC than DGC (17 vs 20 months, p = 0.0002). Genetic analysis of TCGA database identified 280 DEGs, 90 of which were upregulated in the DGC group and the remaining 190 were upregulated in the PGC group. Functional enrichment analysis indicated that kallikrein serine protease activity, ion channel (Na⁺/Cl⁻) activity, and cytoskeleton constituent might be attributed to the poor prognosis observed in PGC. Furthermore, alcohol, retinol, and lipoprotein metabolism were the features for DGC malignancy.ConclusionThe current study first demonstrated that PGC exerts poorer survival outcome than DGC based on the SEER database. Further bioinformatic investigation depicts the specific genetic features for PGC and DGC, which may generate differences in tumor malignancy. Our findings provide promising genetic targets for future specific and individualized gastric cancer therapy.     

国防信息基础设施的建设与管理

讨论了国防信息基础设施的概念,分析了美军国防信息基础设施的发展状况、实施方法、主要途径,提出了发展我军信息基础设施的技术途径和措施建议.     

基于收益率的IEEE 802.16自适应概率接纳控制算法

接纳控制(AC)在宽带无线接入(BWA)服务质量(QoS)中起着非常重要的作用。针对无线城域网IEEE 802.16复杂的QoS定义,该文提出了统一的基于收益率的自适应概率接纳控制算法UAC和简化计算的改进算法EUAC,并给出性能分析。仿真结果表明,自适应算法可以根据当前的资源和负载自适应地改变接纳策略,对不同收益率的业务流表现出明显且合理的区分。自适应算法还具有明显的吞吐量和收益优势,在保持高资源利用率的同时,合理地控制低收益率流,避免已接纳的高收益率流降级。     

基于位置信息的无线小区自组织网络拓扑控制研究

针对无线小区自组织网络节点连接性不高的问题,在网络节点所处的平面上引入空间约束机制,通过加入位置信息和增大平面以降低网络节点间干扰的方法来减小网络总干扰。分析了网络源节点的广播成功率,计算了网络节点的空间位置下界,并分别就单数据流和多数据流的情况下网络的有效性加以讨论。实验仿真表明,这种新型的网络拓扑控制方法可以有效提高无线自组织网络的相关性能。     

一种3G中基于三层数据库的呼叫建立机制研究

基于3G网络三层数据库结构中GLR (Gateway Location Register)服务区远大于VLR (Visitor Location Register)服务区的情况,考虑被呼业务本地化(即本地移动用户呼叫本地移动用户的比例占总呼叫数的比例大),通过在GLR中设置缓存的方法,给出了一种新的呼叫建立机制。建立分析模型得到新机制的总代价函数和总时间延迟函数,并同基本呼叫建立机制以及2G网络基于VLR缓存的呼叫建立机制进行了对比分析,验证了新呼叫建立机制的优越性。     

User location privacy protection mechanism for location-based services

With the rapid development of the Internet of Things (IoT), Location-Based Services (LBS) are becoming more and more popular. However, for the users being served, how to protect their location privacy has become a growing concern. This has led to great difficulty in establishing trust between the users and the service providers, hindering the development of LBS for more comprehensive functions. In this paper, we first establish a strong identity verification mechanism to ensure the authentication security of the system and then design a new location privacy protection mechanism based on the privacy proximity test problem. This mechanism not only guarantees the confidentiality of the user’s information during the subsequent information interaction and dynamic data transmission, but also meets the service provider’s requirements for related data.     

面向服务架构汽车软件开发方法和实践

面向服务架构(SOA)是智能网联汽车软件的主要设计模式之一,为有效设计SOA汽车软件,发挥SOA软件设计模式的优势,提出了一种SOA汽车软件分层模型,描述了基于该模型的两种SOA汽车软件开发方法,并介绍了相应的开发实践,最后描述了所开发的SOA汽车软件在域控制器上的部署.     

基于Parlay Web Service的开放电信业务研究

针对下一代网络环境中开放电信业务面临的问题和发展趋势。介绍了基于Parlay Web Service的开放电信业务体系结构。详细分析了其基本问题、基本业务实现模式、系统结构、功能模型及商业模型。     

互联网地图技术在有线电视运营支撑领域的应用研究

近年来,基于互联网的地理信息平台发展迅速,应用范围也变得更加广泛,互联网地图的许多特性可以解决以传统封闭GIS平台为基础的网络资源管理及运维管理系统在实际应用中产生的一些问题,并且为运营支撑提供更有效的工具。本文从有线电视运营商在运营支撑领域中的实际需求出发,结合部分典型的应用场景,研究如何利用互联网地图工具解决日常工作中的一些基本问题,为相关信息系统规划建设提供参考。     

基于无线数据业务智能优化系统算法的研究与应用

针对业界GPRS/EDGE无线数据优化方法、算法不完善,工作效率低的问题,广西联通通过长期研究建立了一套优化经验方法和较适合现网的参数配置、算法,并将这套方法、算法应用到自主开发的无线数据业务智能优化系统中,使系统实现自动采集分析数据、自动提供优化方案、自动执行优化方案、自动生成优化报告功能,使无线数据业务优化工作朝着智能化方向迈进。