基于OPNET的MVB总线仿真研究

列车网络控制技术是高速列车发展的一项关键技术.为了评估多功能车辆总线(Multiple Vehicle Bus,MVB)车辆级网络通信系统的性能,优化网络设计,采用Opnet Modeler搭建车辆级通信网络模型,包括车辆的网络拓扑结构模型、链路模型、节点模型和进程模型.利用所搭建的模型,对车辆级通信网络的时延性、吞吐...     

政治语篇中模糊限制语的语用功能分析

模糊限制语在交际过程中具有不可或缺的地位。拟就模糊限制语的定义、分类以及在政治语篇中的语用功能做出分析,得出结论：政治语篇中,模糊限制语具有保全面子,增强说服力,赢取认同与支持,避免承担责任,进行自我保护等人际功能。     

论古代雅典政治体制中的精英政治特征

在古代雅典民主政治的表象下,仍活跃着一个又一个政治精英的身影。虽然在民众具有平等政治参与权的情形下,雅典政治精英们确立权威、发挥作用的途径和方式是比较独特的。但雅典民主政治体制的形成、运作是在政治精英们的推动和维护下实现的,城邦的繁荣也离不开他们的贡献。所以古代雅典政治体制实质上是一种精英主导下的民主政治体制,具有明显的精英政治特征。     

Learning Politics From Social Media: Interconnection of Social Media Use for Political News and Political Issue and Process Knowledge

Drawing on a national survey of 1,157 South Korean adults, the present study finds that social media use for political news is positively associated with knowledge about political issues, but not with knowledge about political processes. Professional media use for political news is significantly associated with both political issue knowledge and political process knowledge. The impact of social media for news on political issue knowledge increases with the additive role of professional media news use. This study also finds that political talk strengthens the positive association between social media use for news and political issue knowledge.     

喀什古代口头传播传统

作为我国西北地区一个有着悠久历史的边陲重镇,喀什自古以来就是一个多民族聚居的地方。在这里,各民族共同创造了丰富多彩的口头文学作品,形成了源远流长的口头传播传统。     

高校思想政治理论课教学中应用PBL教学模式研究

当前,高校思想政治理论课教学过程中存在着大学生学习积极性不高等诸多问题,严重影响了思想政治理论课教学的实效性。在高校思想政治理论课教学中应用PBL教学模式具有明显的优势。因此将PBL教学模式引入高校思想政治理论课是必然的选择。基于此,本文设计了高校思想政治理论课应用PBL教学模式的具体路径。     

思想政治教育专业应用型人才培养模式的重构思考--以乐山师范学院为例

在中国高等教育大众化的背景下,培养应用型的专业人才是高校的主要任务,当前以应用技术为导向提升本科培养质量的转型发展成为紧迫任务。思想政治教育专业是我国高校一个特殊重要的专业,培养更高质量和适应社会发展需要的应用人才,调整培养定位和转型发展,是普通本科院校培养思想政治教育专业人才的必由之路。本文在认真分析总结思想政治教育专业培养经验和成效的基础上,依据社会发展需要,探讨专业培养定位调整,构建精细化、个性化人才培养模式以及实现路径和策略,以期全面提高人才培养质量。     

基于WIFI技术的矿井下无线语音通信系统

目前,小灵通已经被强制退市,迫切需求一种新的通信方式实现井下无线通信。本文提出了运用WiFi无线宽带技术于煤矿井下无线语音通信系统中,结合现有的WLAN网络实现无线的VoIP语音通话。     

Automatic thematic classification of election manifestos

We digitized three years of Dutch election manifestos annotated by the Dutch political scientist Isaac Lipschits. We used these data to train a classifier that can automatically label new, unseen election manifestos with themes. Having the manifestos in a uniform XML format with all paragraphs annotated with their themes has advantages for both electronic publishing of the data and diachronic comparative data analysis. The data that we created will be disclosed to the public through a search interface. This means that it will be possible to query the data and filter them on themes and parties. We optimized the Lipschits classifier on the task of classifying election manifestos using models trained on earlier years. We built a classifier that is suited for classifying election manifestos from 2002 onwards using the data from the 1980s and 1990s. We evaluated the results by having a domain expert manually assess a sample of the classified data. We found that our automatic classifier obtains the same precision as a human classifier on unseen data. Its recall could be improved by extending the set of themes with newly emerged themes. Thus when using old political texts to classify new texts, work is needed to link and expand the set of themes to newer topics.     

Sustainability transitions: A political coalition perspective

In the case of technology transitions to low-carbon sources of energy, there is growing evidence that even in countries with a strong political consensus in favor of a transition, the pace has been slow in comparison with the need to reduce greenhouse gases. One factor that affects the slowness of the transition is political resistance from the incumbent industrial regime. Using data on the mobilization of resistance from the fossil-fuel industry in the United States, the study builds on the growing literature on the political dimensions of sustainability transitions by drawing attention to the role of incumbent regime coalitions, grassroots coalitions in support of green transition policies, and countervailing industrial power. Case studies of political coalitions for ballot propositions in the U.S. are used to show how countervailing industrial power, especially from the technology and financial sector, can tip the balance of electoral spending in favor of grassroots organizations.