混合动力汽车领域企业竞争力研究——基于专利分析视角

以220件混合动力汽车高被引专利为研究对象,运用社会网络分析方法,从点度中心度、中间中心度、核心-边缘结构和凝聚子群等角度对构建的网络进行分析。结果表明:美国和日本的一些企业在该领域的研发实力较强;企业网络中的小团体现象较严重,只有丰田等少数企业拥有较大竞争优势;各大企业的技术竞争点集中在动力系统、控制系统和蓄电池等方面。     

复合图书馆实体馆藏评价云模型研究

介绍了复合图书馆实体馆藏的涵义及其评价的基本原则和云模型理论。提出了基于云模型的复合图书馆实体馆藏评价模型,并将此模型用于某个复合图书馆实体馆藏评价．验证其是有效的、具有可应用性。     

基于PXle总线和LabVIEW数据采集

本文介绍了以PXle总线体系结构作为数据采集开发平台,可以轻松实现对多种不同类型信号的测量,增强了可扩展性,使设计方案更简便、更灵活.PXle与LabVIEW虚拟仪器软件建立应用系统,提高了数据存储带宽,为大数据、多参量、同时高速采集,图型化显示提供了一种方法,实现测量数据的快速存储和显示.     

自来水厂供电稳定性浅析

供电稳定可靠是自来水厂正常生产的关键。提升水厂供电可靠性可从以下几方面考虑:供电回路设计,母线设计,用电设备的技术水平与质量水平,管理制度与操作规程等。文章从这几方面论述如何提升水厂的供电可靠性。     

复合图书馆参考咨询的工作模式

网络技术的发展，使复合图书馆参考咨询业务活动的内容、方式和手段与传统图书馆相比有很多变化，参考咨询工作不仅有帮助、协助和引导读者利用文献资源，而且还具有组织、筛选、查新和提供文献资源等特点，因而提出复合图书馆参考咨询应围绕完善一个技术条件、加强二个方面基础业务工作和深化五个方面基本条件的工作模式。     

论复合理图书馆

探讨了复合型图书馆的概念和产生必须具备的条件，对复合型图书馆载体形态的混合，馆藏结构的混合（现实馆藏与虚拟馆藏）进行了阐述．提出了传统的图书馆业务机构设置已经不能适应网络化、数字化建设的需要，对业务部门进行重组已成为复合图书馆管理体制改革的重要内容。     

Understanding complex ecologies: an investigation of student experiences in adventure learning programs

The GoNorth! Adventure Learning (AL) Series delivered educational programs about global climate change and sustainability from 2006 to 2010 via a hybrid-learning environment that included a curriculum designed with activities that worked in conjunction with the travels of Team GoNorth! as they dog sledded throughout the circumpolar Arctic. This study addresses a gap in the AL literature by identifying factors that lead to high levels of student engagement and reveals strategies for instructional designers and educators on how to design emotionally engaging online learning environments. A mixed methods study was conducted to explore patterns of learner engagement in relation to two AL programs: GoNorth! Fennoscandia 2008 and GoNorth! Nunavut 2009. Survey data were drawn from a total of 101 students in 2008 and 2009.     

稀土Sm掺杂PLA／TiO2杂化材料的制备及抗凝血性能测定

以乳酸为原料、辛酸亚锡为催化剂制备聚乳酸（PLA）;以PI。A、Sm、钛酸四正丁酯（TBT）为原料,采用溶胶凝胶法制备稀土Sm掺杂PLA／TiO2有机无机杂化材料。XPS分析结果显示了Sm的加入。动态凝血时间测定法测定结果表明。Sm的掺杂提高了PLA／TiO2的抗凝血能力,并且在加入量为wt0．6％时效果最佳。     

Populist Twitter Posts in News Stories

Research in information processing suggests that the journalistic practice of embedding right-wing populist Twitter posts in news may stimulate political polarization. To test this notion, we conducted an online experiment (N?=?379). We investigated how highlighted right-wing populist statements affected individuals from different ideological stances and whether potential effects were determined by Twitter-specific characteristics (Twitter frame, profile picture). We exposed participants to two articles, each including a statement by a politician of the Austrian Freedom Party. In the first group, the statements were not highlighted (control group). In the second and third group, the statements appeared as conventional block quotes either without (G2) or with (G3) a picture of the politician. In the fourth and fifth group, the statements were highlighted as Twitter posts, again either without (G4) or with (G5) a picture of the politician. Results revealed that all highlighting conditions increased statement recognition among left-wing individuals. However, the full Twitter post condition exerted the strongest effect. Higher recognition then decreased left-wing individuals’ anti-immigrant attitudes and sympathy toward the right-wing populist candidate. Thus, embedding right-wing populists’ Twitter posts may induce disconfirmation bias among left-wing voters and trigger a process in which they strengthen their initial attitudes.