Multiethnic Economic Activity Along Three Immigrant Corridors in Paris

Ethnic neighborhoods and ethnic economies do not always involve a single nationality or ethnic group. Quite often several groups operate side by side in the neighborhood and within the establishments themselves. This can give rise to a modification of the ethnic economy concept. We discuss an example of such a multiethnic residential and business district in Paris, the Goutte d’Or, with particular attention to three shopping streets. Although somewhat distinct from one another, each of these streets is multiethnic in regard to the proprietors, employees, and customers, and this multiethnicity extends within the establishments themselves. The primary questions we ask in this article are, first, what the nature of this ethnic economy is and how it fits within the different types of ethnic economy. Beyond this, we demonstrate how the activities taking place here reflect separate circuits of activity at separate spatial scales and what this ethnic business activity suggests for immigrant incorporation in Paris and the nature of cross-ethnic relations. To answer these questions, we rely on observation, interviews with several merchants in defined commercial corridors, and some official statistical and political information gleaned from various government sources. This Parisian neighborhood exemplifies strategies of immigrant incorporation into French society. As such, it provides a possible new model of a multiethnic economy, one that might become a common fixture in increasingly diverse cities in the world.     

基于DEA-Malmquist模型的唐山市工业经济与能源全要素生产率分析

以唐山市34个工业行业的面板数据为基础,选择DEA和Malmquist指数模型,对1992~2012年全要素经济生产率、2000~2012年全要素能源生产率及其分解结果进行了分析,并对全要素经济生产率、全要素能源生产率分别进行了影响因素分析。结果发现：研究期内,全要素经济生产率、全要素能源生产率均有所提高,其中技术进步发挥了最主要作用。总体上,经济、能源的TFP指数均在2010年表现最优。分行业看,唐山市的传统优势产业的经济、能源TFP指数增长较快,这对唐山未来产业转型和重组产生了较大阻力,但是也显示出能源集约化程度有所提高。从根本上看,产业结构的不合理不仅束缚了经济、能源效率的提高,且连带影响了对外开放水平的进步及能源结构的优化。通过对唐山市工业行业经济、能源的静态与动态效率分析,并进行影响因素分析,可判定唐山工业发展的质量及各行业的发展差异,为区域进一步转型发展提供理论依据。     

基于产业结构视角的云南省县域经济差异研究

基于云南省1992~2012年统计年鉴数据,采用偏离份额分析、基尼系数产业分解方法,分析产业结构演变对云南省县域经济差异的影响。结果表明：云南省县域经济差异受到产业结构偏离和竞争偏离影响较大,滇中县域在产业结构上优势显著,但相对竞争力较弱。滇西和滇南县域竞争优势明显,但不具结构优势;最近10 a来,滇东县域在产业结构、竞争力方面占优,与滇西和滇南县域的差异拉大;从基尼系数产业分解结果看,第二产业是导致云南省县域经济差异扩大的首要因素。此外,第三产业对县域经济差异贡献不断加大,对县域发展不平衡影响日益凸显;产业基尼系数变化分解结果揭示,产业集中效应扩大了县域经济差异,而结构效应则可以缩小县域经济差距,据此提出以产业结构调整来协调县域经济发展的政策建议。     

新疆外向型经济发展效率评价及影响因素

大力发展外向型经济是丝绸之路经济带建设的重要内容。为了研究新疆外向型经济的发展及其影响因素,采用熵值-TOPSIS评价模型和结构方程模型,建立了包括外向型经济发展水平、经济基础水平、社会基础水平和竞争力水平4个指标因素的综合指标体系,对新疆各地州市外向型经济发展效率进行评价,并对4个指标因素的关系进行实证分析。研究结果表明:新疆各地州市外向型经济发展效率差异虽然较小,但呈现小幅度加大趋势;将新疆15个地州市分为超效率发挥地区、领先地区、效率未发挥地区和落后地区;经济基础水平对外向型经济发展水平的影响最大,竞争力水平次之,社会基础水平对外向型经济发展水平暂无明显影响。     

基于用户点击数据的细粒度图像识别方法概述

近年来,细粒度图像识别逐渐成为计算机视觉领域的研究热点.由于不同类别图像间的视觉差异小、语义鸿沟问题严重,传统的基于视觉特征的细粒度图像识别性能往往不尽人意.针对这些挑战,目前许多学者都在研究基于用户点击数据的图像识别.本文围绕点击数据在图像识别中数据预处理、特征提取和模型构建3大模块中的应用,总结了已有的基于点击数据的识别算法及最新的研究进展.     

How mega-events capture their hosts: event seizure and the World Cup 2018 in Russia

This paper develops the notion of “event seizure” to better understand how mega-events, and the elites associated with them, take possession of host cities and societies—of development plans, funds and legislation—and impose their priorities on cities and citizens. It illustrates how event seizure plays out in the preparations for the Football World Cup 2018 in Russia, which is on course to become the most expensive World Cup ever with a total cost of about USD 20 billion. Drawing on government and FIFA documents, public statements from authorities and officials, and media coverage, the paper examines three different dimensions of event seizure. First, infrastructural seizure, where event-related infrastructure, particularly sports venues, crowd out infrastructure that serves wider urban needs. Second, financial seizure, where a close circle of political and business elites benefits from state funding, while the public underwrites cost overruns. Third and last, legal seizure, where the event introduces exceptional legislation, infringing citizen rights and compromising due oversight of event preparations.     

Empowering learning through design: a comparative analysis of ICM course development for web-based and classroom delivery

This article reviews the development of two courses focussed on meeting Integrated Coastal Management capacity building needs: an undergraduate degree course, and a web-based distance learning course. Influential factors in the development of each course are identified and compared. Important considerations are found to be methods of quality assurance, course content, the temporal and spatial context of teaching and learning, level of learner empowerment, and the role of the teacher. It is concluded that in order to understand the role of such courses in capacity building, coastal educators need to share experiences and encourage reflection on the effectiveness of capacity building efforts.     

一种多层神经网络的学习算法

提出一种基于序贯预测误差方法（ＳＰＥ）的多层神经网络（ＭＮＮ）的学习算法。经模拟计算，它比传统的基于最陡下降方法的误差反传（ＳＤＢＥＰ）算法具有更好的收敛性能。并对这两种算法进行了模拟计算的比较．     

多障碍环境中基于增强式学习的势场优化和机器人路径规划

该文把增强式学习方法应用于多障碍环境中机器人路径规划 ,并将增强式学习和路径规划相结合 ,通过工作空间势场的自适应优化学习 ,实现机器人的全局路径规划 ,即得到从任何初始位置开始的最优路径。与传统的人工势场方法相比 ,该方法避免了势场中局部极小点所引起的陷阱区域 ,并且所得到的路径具有最优特性。计算机仿真实验结果表明 ,这种学习方法能有效的解决多障碍环境中的机器人路径规划问题