The UK National Arts Education Archive: Ideas and Imaginings

The National Arts Education Archive (NAEA) is housed and maintained by the Yorkshire Sculpture Park (YSP), and managed by YSP coordinators and educators with a well‐established volunteer programme. This year, 2017, as part of the celebrations of the YSP's 40th anniversary, the Archive will hold its own exhibition entitled Treasures Revealed: a collection of items selected by people who have been involved in the Archive, whether as donors, volunteers, researchers, artists, trustees or steering group members. In parallel with the exhibition, this article aims to give voice to a selection of individuals and groups associated with the Archive, discussing their interests and experiences of it, and their thoughts on its value and importance as a repository of arts education materials, ideals and practices. Our primary motivations were to consider these different voices in relation to the purpose, direction and relevance of the NAEA today. These exchanges raise fundamental questions and debates about what art education is and what it might become, and how these historical collections, and creative engagements with it, might help to shape our contemporary thinking.     

基于TM遥感图像的流域地貌研究

利用不同地物在同一波段或相同地物在不同波段具有不同色调的变化规律，以奉化江流域为例，探讨了遥感技术在流域地貌研究中的应用。根据遥感图像成像规律以及不同地质地貌景观类型在TM图像上所显示的不同解译标志和展布特征，对研究区水系的发育、地质构造与地表物质对流域地貌形成的作用和影响等作了一定的分析与探索，获得了较为满意的结果。     

中国省域居民生活能源消费的空间效应研究

本文基于2008—2012年中国30个省域为研究对象,从Bayes空间计量的角度研究省域之间生活能源消费的空间效应,并分析不同因素对居民生活能源消费的影响。研究结果表明:中国省域居民能源消费存在显著的空间自相关,多数省域的居民能源消费在空间上呈现高-高和低-低集聚;人口规模是影响居民能源消费最重要的影响因素,其次是居民消费支出和能源消费强度;从当期效应来看,各变量对居民能源消费的直接效应和总效应均显著为正,因此,降低能源消费需要控制人口规模向城市转移的增长速度、降低能源消费强度、引导和改善居民消费结构。     

基于贝叶斯正则化BP神经网络的上市公司信用评价研究

在神经网络训练中引入贝叶斯正则化以提高模型的推广能力。通过与未使用提高推广能力方法和使用提前停止法两种情况进行比较,表明基于贝叶斯正则化的BP神经网络模型在上市公司信用评价中的推广能力有显著的提高。     

Community Networks: Rules of Behavior and Social Structure

This article investigates the intertwining relationships between the Gemeinschaft and the Gesellschaft dimension of a community network (CN)—that is, of a virtual community whose members' common interest is a locality, in our case the city of Milan, Italy. The article looks through the experience of the last 7 years of life on RCM—the Milan Community Network—to reflect on the role that the sharing of rules of behavior has on the evolution of social structure in a virtual community. It identifies three phases of development—the design phase, the first growth phase, and the most recent phase—and presents the social structure set up to guarantee governance of the CN. The conclusions show that the third phase is not an actual stable state, as the continuous evolution of the societal and technological context requires continuous redesign of the CN itself in order to meet the renewed demands of a new context.     

技术创新网络分裂断层对子群极化的影响研究——基于网络嵌入性视角

将分裂断层理论引入技术创新网络,能够为探索中观网络子群结构的动态过程提供重要依据。本研究以2000年至2012年我国电子信息产业联合申请专利为样本构建组织间技术创新网络,探索网络嵌入性视角下分裂断层对子群极化的影响机理。结果表明:嵌入于组织间的二元关系强度在不同成员对间分布不均匀时会使整体网络产生潜在的分裂断层,但分裂断层对子群极化并不存在显著的直接影响;当结构嵌入性水平和位置嵌入性水平较高时,分裂断层对子群极化的作用显著提升。说明潜在的分裂断层在没有被触发的情况下,可能保持休眠状态且不会产生直接影响,当一些关键机制触发分裂断层时,其作用得到显著加强。研究结论为解释网络中观子群结构形成与变化的微观机制提供了新的理论视角,对进一步研究技术创新网络的稳定性和知识共享具有重要的借鉴作用。     

拷贝硅谷:一种聚集网络理论解释

本文介绍了目前在关于拷贝硅谷、建设高新科技园区问题上国内外不同的观点，提出聚集网络理论。在此基础上，通过对韩国大德科学城和我国台湾新竹科学工业园的成功实践考察，提出了它们各自成功发展高技术产业的原因，在于根据各自的实际，市场性和建构性、网络资本和风险资本网络的有机结合，适应了高技术发展的本质要求。认为我国应注重网络资源管理，营造风险资本网络体系发展的环境。     

类脑智能研究现状与发展思考

近年来人工智能研究的许多重要进展反映了一个趋势:来自脑科学的启发,即使是局部的借鉴都能够有效地提升现有人工智能模型与系统的智能水平。然而,想要真正逼近乃至超越人类水平的人工智能,还需要对脑信息处理机制更为深入的研究和借鉴。类脑智能研究的目标就是通过借鉴脑神经结构及信息处理机制,实现机制类脑、行为类人的下一代人工智能系统。文章从受脑启发的新一代人工神经网络、基于记忆、注意和推理的认知功能模型、基于生物脉冲神经网络的多脑区协同认知计算模型等角度,并结合研究团队在类脑智能领域的研究进展,论述类脑智能的研究进展、发展方向和对未来发展的思考。     

高技术企业协作R＆D网络构建活动和路径研究

对高技术企业协作R＆D网络的构建活动和路径进行了探讨，其中构建活动包括三个：建立共同协作基础、伙伴成员的搜寻与选择、组织协作网络;构建路径分为三种：自组织路径、被组织路径和混合路径。     

The social strategy cone: Towards a framework for evaluating social media strategies

Social media is growing rapidly. Providing both risks and opportunities for organizations as it does. The social strategy cone is developed for evaluating social media strategies. This framework comprises of seven key elements of social media strategies as based on a systematic literature review and case studies. The results of 21 interviews have contributed to the construction of the social media strategy cone for analyzing social media strategies. Three levels of maturity of social media strategy are proposed: initiation, diffusion and maturity. Initiation includes the key elements: ‘target audience’ and ‘channel choice’ while all case organizations studied payed attention to these elements. Diffusion includes the elements: ‘goals’, ‘resources’ and ‘policies’. Maturity adds the elements of ‘monitoring’ and ‘content activities’. Only 3 of the 9 organizations studied are in this phase of maturity. Although, theory suggests the importance of the element of ‘monitoring’ our research shows the need for more attention in practice.