基于WLAN的图书馆读者行为采集分析平台框架研究

[目的/意义]读者行为分析是图书馆改进服务、提升管理水平的基础性工作。目前在馆读者越来越多地通过馆内WLAN来访问图书馆资源和服务,因此对这部分读者的行为进行分析变得越来越重要。而当前图书馆界十分缺乏对馆内通过WLAN上网读者的行为进行采集分析的工具和手段。[方法/过程]设计一种基于WLAN网络的图书馆读者行为采集分析平台框架,并提出平台各关键技术点及其解决方案。[结果/结论]该平台框架及技术解决方案可为相关平台系统的开发和使用提供参考,但是在隐私保护和安全性方面还需要在应用中进一步调整和优化。     

基于神经网络的监控数据智能处理方法

针对船用系泊缆绳安全智能报警系统中的表格试验数据，提出了应用神经网络技术的智能数据处理方法。该方法克服了传统数据处理方法一般难以找到合适的逼近函数、处理过程复杂的弱点，避免了传统数据处理方法上的不便性和局限性，实现了表格数据非线性输入输出的映射。通过样本学习而建立的网络可以提高数据的取用效率，具有很大的灵活性和适用性。这是一种很有应用价值的数据处理方法。     

模糊神经网络在故障诊断中的模型与应用

对一种基于模糊神经网络的故障诊断方法进行了研究，探讨了模糊神经网络诊断模型和模糊算子选择。以柴油机示功图作为特征信号，构造了船舶主机故障诊断仿真系统，并给出了系统知识学习和模糊推理结果。     

Governing software: networks,databases and algorithmic power in the digital governance of public education

This article examines the emergence of ‘digital governance’ in public education in England. Drawing on and combining concepts from software studies, policy and political studies, it identifies some specific approaches to digital governance facilitated by network-based communications and database-driven information processing software that are being discursively promoted in education by cross-sectoral intermediary organizations. Such intermediaries, including National Endowment for Science, Technology and the Arts, Demos, the Innovation Unit, the Education Foundation and the Nominet Trust, are increasingly seeking to participate in new digitally mediated forms of educational governance. Through their promotion of network-based pedagogies and database-driven analytics software, these organizations are seeking to delegate educational decision-making to socio-algorithmic forms of power that have the capacity to predict, govern and activate learners' capacities and subjectivities.     

How can science connect with and contribute to conservation? Recommendations and reflections

This paper reports the conclusions and recommendations of the working group that synthesized the discussions on ‘How can science connect with and be of greater benefit to conservation practice?’ during the ICCROM Forum on Conservation Science. The author reflects on these findings from her own perspective and experiences, and places them in the context of two major shifts in heritage research: the first, a shift in focus from conserving materials to managing meaning. The second, a shift in organizational structures from single, centrally funded heritage institutions towards diffuse networks which include new players who have no direct responsibility towards heritage. Both shifts are taking place in an environment of decreased funding and increased accountability to society. Science and conservation connect and contribute to each other most effectively if they together contribute to the societal benefits of heritage. In this regard, heritage science strategies can stimulate collaboration, and direct science and conservation towards innovative, applicable outcomes. Moreover, they can promote a transdisciplinary approach which connects social, economic and business sciences and stakeholders. They should also ensure the creation of sustainable nodes for consolidating knowledge within these dynamic networks.     

金代泰山文士交游考

金代泰山及周边地区文化昌达,涌现出大量文人学士。这些文士依籍贯和活动区域不同可大致划分为本地型、周边型和活动型三大类。通过诗酒酬唱、畅游山林、臧否人物等方式,泰山文士构筑了广泛的社会交往网络;与女真贵族、外地文士、道教人士的交往拓展了泰山文士社交网络的空间。泰山文士交游网络的构建与拓展不仅有利于北方各地区的民族融合与社会信息交流对于传承并发展泰山文化亦有重要作用。     

Social capital in the classroom: a study of in-class social capital and school adjustment

Social capital is generally considered beneficial for students’ school adjustment. This paper argues that social relationships among pupils generate social capital at both the individual and the class levels, and that each has its unique effect on pupils’ performance and well-being. The sample in this study consists of 1036 children in 60 first-grade classes in 46 Dutch elementary schools. Multilevel regression results show that a substantial proportion of the variance in school adjustment can be attributed to the class level and that both individual-level and classroom-level social capital have substantial effects on school adjustment. At the individual level, the size of one’s network is more important than its structure. At the collective level, social capital also has a ‘dark side’ because it can have negative effects on adjustment, lowering the academic performance in a class.     

Significant networks and meaningful conversations observed in the first-round applicants for the Teachers’ Academy at a research-intensive university

The University of Helsinki established a Teachers’ Academy to reward excellence in teaching. This study focuses on teachers’ significant networks and their meaningful conversations about teaching and learning before the establishment of the Teachers’ Academy. The research data consisted of answers to open-ended questions, and were examined using social network analysis. The teachers’ network consisted of significant relations with (1) colleagues and other teachers, (2) peers in pedagogical courses and pedagogical experts, (3) students, and (4) family members and friends. The conversations with different parties varied in nature, content and the level of confidentiality.     

Unpacking (un)conscious social class bias in faculty hiring processes in Chile: PhD prestige granting university and network

Social class of origin is apparently an imperceptible attribute among doctorate holders seeking academic jobs. Yet, recent studies in different countries reveal that social class of origin may still be influencing the chances of PhD holders from low social class being hired at prestigious universities. Drawing from the theory of social and cultural reproduction, normative ‘fair’ academic hirings frameworks, and qualitative evidence collected in Chile, this research identifies the mechanisms that trigger (un)conscious social class bias in the stages of recruitment and selection of candidates in seven academic departments in economics and industrial engineering (46 interviews). Findings did not prove explicit classism manifestations, but practices of inclusion/exclusion of candidates based on the prestige of PhD-granting universities, and networks. These reproduce the relationship between social class and unequal chances of being connected to prestigious universities. Recommendations to address (un)conscious social class bias in academic hiring are discussed.     

What Tahrir Square Has Done for Social Media: A 2012 Snapshot in the Struggle for Political Power in Egypt

While the debate rages on the role of social media technologies in the initial days of the Egyptian revolution of 2011, a more relevant research question today is the role of social media within an increasingly contested and turbulent political sphere. This article identifies three key modes by which social media is being exploited to impact political power, and uncovers the salience of each of these through 2 years of multisited ethnographies and interviews. First, I argue that political actors across the political spectrum, from liberals to Muslim Brotherhood (Ikhwan), are using technologies to build wider ranging, heterogeneous, and diverse networks of supporters, expanding their base from a more historically homogeneous core support group. Second, I argue that actors are working to build bridges between older and newer media platforms, recognizing that each platform is increasingly being shaped by the other. Finally, I describe some of the ways that technology is being used by activists to subvert their competition, promoting campaigns of misinformation and hacking at the expense of others.