基于Dialog联机检索的行业专利分析研究

本文基于Dialog联机检索，以德温特世界专利索引数据库和专利引文索引数据库为数据源，对质子交换膜（PEM）燃料电池行业进行了专利分析研究。作者用实例说明了利用各种Dialog高级检索指令实现行业专利分析的技巧。通过分析研究，发现了PEM燃料电池行业的领先企业、技术领军人物、产业发展前景、全球技术／市场布局、关键技术、研发热点等。研究表明，Dialog？联机检索在行业专利分析中是一种有效的工具。     

基于概率神经网络的文本自动分类研究

本文提出了将一种径向基网络的重要变形———概率神经网络应用于文本自动分类的研究 ,与常用的K 最邻近法相比 ,具有一定的优势 ,特别是在训练集中各类的训练样本数很不平衡时 ;与BP等其他神经网络相比 ,其特点是需调节的参数少 ,不需确定隐层数、隐层中的神经元数量等网络结构 ,比较容易使用。此外 ,从研究中的不同特征选择的评价函数来看 ,它们对分类有一定的影响 ,应用X2 统计进行特征选择的分类正确率最高 ,其次是文本证据权 ,而期望交叉熵的效果最差 ,说明特征选择在文本自动分类中也是非常重要的。     

网络环境下数字图书馆的安全与防范措施

阐述了网络环境下影响数字图书馆安全的因素，提出了保护数字图书馆信息安全的防范措施。     

Update: The Invisible Farmer: securing Australian farm women’s history

This article reviews the Invisible Farmer project – the largest study of Australian women on the land – a third of the way through its three year funding period. It introduces the aims of this collaborative and multidisciplinary project, focusing on the role of records and oral histories in the creation of new narratives, and the task of raising public awareness of the important historical and contemporary contributions made by Australian women farmers. We examine the way digital platforms work to curate records and promote research, and outline the important role that the Australian Women’s Register, a core project of the Australian Women’s Archives Project, will play in achieving outcomes.     

Network member support marshaling in response to another’s relational transgression experience

Relational transgressions are emotionally difficult for those who directly experience the transgression. Less is known about how transgressions affect those located within the personal network of a relational transgression victim. This study explored how network members engaged in support marshaling in response to another’s transgression experience. Results indicate that some participants marshaled support, citing four reasons for their actions: perceived insufficiency, camaraderie, personal ramifications, and personal values. We explore these reasons for marshaling support and discuss them within the broader context of support marshaling and relational transgressions.     

The density of social networks moderates effects of intergroup contact

This study tests how the density of the social network in which intergroup contact takes place might affect the extent to which contact improves intergroup attitudes. Having contact with more outgroup members in dense social networks, in which everybody knows each other, may reinforce contact's positive effect. In this case, outgroup contact is shared with ingroup members, which suggests positive ingroup norms toward the outgroup. Alternatively, more contact in denser networks may improve intergroup attitudes less because density may increase subtyping or reduce the salience of ethnic group memberships. These competing hypotheses are tested among white American adults in a nonprobability online sample (N = 305) and in a representative national sample (N = 1270). In both studies, contact is associated with more positive attitudes toward racial outgroups but the positive contact effect is weakened if that contact takes place in a denser social network.     

A network under stress: using embeddedness to understand uncertainty management and resilience in campus emergencies

Persistent school shootings have generated ongoing pressure to assess and enhance crisis communication effectiveness via strategies such as resilience-building and post-crisis restoration. A network perspective offers a robust, multilevel approach for examining complex information flows among community, campus, and individual actors affected by crises. Drawing on relational and structural embeddedness and Uncertainty Management Theory, we offer nine propositions that help explain structural and relational changes in a network over time. Although theoretically driven, these propositions are primarily functional, offering practical implications for safety officials and administrators trying to understand, prepare for, and respond to crises. Thus, we suggest measures and recommendations to improve information flow, uncertainty management, and resilience before, during, and after a crisis.     

稀土电解槽温度场有限元应用模拟研究

运用傅立叶方程建立了氟化体系稀土电解槽的温度场的有限元模型,采用VC6.0编程制作了相应的软件,并对导热系数、密度、比热等相关参数进行了运行计算研究.结果表明,建立的数学模型和编制的软件对稳态温度场的数学模拟计算结果与实际测试的结果基本吻合.可为新一代稀土电解槽体的开发设计提供参考.     

一种增强移动自组网Internet连接的改进型方案

针对移动自组网因单向链路以及盲目转播网关发现分组而造成的与Internet互联性能下降,提出了一种增强型互联方案.同时结合了先应和后应网关发现策略优点的混合网关发现策略被用来获取良好的Internet连接并保持低开销.而通过交换携带有额外增加的对称邻居节点列表和非对称邻居节点列表字段的AODV hello分组,单向链路得以从路由计算中予以清除而广播风暴也同时得到抑制.基于ns-2的仿真结果表明此改进型Internet连接方案在单向链路数量及节点移动速度均变化的应用环境下能取得较其他方案为优的互联性能.     

人工神经网络在火灾探测中的应用

火灾的早期探测是较为复杂且具有重要意义的研究课题。针对传统火灾探测方法存在的不足,提出了一种基于人工神经网络技术的火灾自动探测系统,即采用黄金分割优选法对网络隐含层节点数进行优选,采用优于BP算法的LM算法进行网络学习训练。实验结果表明不仅这种系统具有拟合精度高和运算速度快等优点,且探测效率良好。