Design selection for strong orthogonal arrays

Strong orthogonal arrays (SOAs) were recently introduced and studied as a class of space‐filling designs for computer experiments. An important problem that has not been addressed in the literature is that of design selection for such arrays. In this article, we conduct a systematic investigation into this problem, and we focus on the most useful SOA(n,m,4,2 + )s and SOA(n,m,4,2)s. This article first addresses the problem of design selection for SOAs of strength 2+ by examining their three‐dimensional projections. Both theoretical and computational results are presented. When SOAs of strength 2+ do not exist, we formulate a general framework for the selection of SOAs of strength 2 by looking at their two‐dimensional projections. The approach is fruitful, as it is applicable when SOAs of strength 2+ do not exist and it gives rise to them when they do. The Canadian Journal of Statistics 47: 302–314; 2019 © 2019 Statistical Society of Canada     

Modeling spatial overdispersion via the generalized Waring point process

Modeling spatial overdispersion requires point process models with finite‐dimensional distributions that are overdisperse relative to the Poisson distribution. Fitting such models usually heavily relies on the properties of stationarity, ergodicity, and orderliness. In addition, although processes based on negative binomial finite‐dimensional distributions have been widely considered, they typically fail to simultaneously satisfy the three required properties for fitting. Indeed, it has been conjectured by Diggle and Milne that no negative binomial model can satisfy all three properties. In light of this, we change perspective and construct a new process based on a different overdisperse count model, namely, the generalized Waring (GW) distribution. While comparably tractable and flexible to negative binomial processes, the GW process is shown to possess all required properties and additionally span the negative binomial and Poisson processes as limiting cases. In this sense, the GW process provides an approximate resolution to the conundrum highlighted by Diggle and Milne.     

数据生产要素的结合机制——互补性资产视角

数据作为生产要素创造的价值备受关注,但目前对数据与其他生产要素的结合机制缺乏明确的解释。本文从互补性资产理论出发,分别探讨数据与技术、资本、劳动生产要素的结合机制。研究表明:在与技术要素的结合上,数据要素的加入能够帮助创新企业更有效地使用互补性资产,从而产生技术创新;在与资本要素的结合上,数据要素的加入降低了企业获取作为生产资源和营销资源的互补性资产的成本,从而产生成本创新;在与劳动要素的结合上,数据要素能够从产品设计和生产方面提升互补性资产的生成效率,从而产生流程创新。最终,数据要素在与核心生产要素的有机结合下,极大促进了数字经济的创新与发展。     

A Framework to Understand Extreme Space Weather Event Probability

An extreme space weather event has the potential to disrupt or damage infrastructure systems and technologies that many societies rely on for economic and social well‐being. Space weather events occur regularly, but extreme events are less frequent, with a small number of historical examples over the last 160 years. During the past decade, published works have (1) examined the physical characteristics of the extreme historical events and (2) discussed the probability or return rate of select extreme geomagnetic disturbances, including the 1859 Carrington event. Here we present initial findings on a unified framework approach to visualize space weather event probability, using a Bayesian model average, in the context of historical extreme events. We present disturbance storm time (Dst ) probability (a proxy for geomagnetic disturbance intensity) across multiple return periods and discuss parameters of interest to policymakers and planners in the context of past extreme space weather events. We discuss the current state of these analyses, their utility to policymakers and planners, the current limitations when compared to other hazards, and several gaps that need to be filled to enhance space weather risk assessments.     

A user’s guide to Lisbon: mobilities,spatial apprenticeship and migrant urban integration*

This paper engages with the ‘mobility turn’ scholarship in order to provide tools for the study of migrants’ integration to urban space. The analysis of urban mobilities draws attention to the practical know-how that underlies mobility practices. I argue that migrants’ urban apprenticeship – that is, the ways migrants learn (to use) city spaces – shape their access to urban resources and their participation in urban life. Based on fieldwork conducted in Lisbon, Portugal, I explore how migrants’ urban knowledges play out in their everyday practices and resonate with broader concerns over migrant integration.     

挣脱生态牢笼的路径探幽——《共产党宣言》中马克思生态思想解读

《共产党宣言》蕴含着深刻的生态思想,其体系以人、社会、自然整体为背景,其核心观点认为生态问题是由资本主义生产方式引起的.马克思在唯物史观视野下,科学论证了资产阶级的所有制必然灭亡、共产主义必然实现的历史发展逻辑,廓清了人与人、人与自然之间双重和解的演化路径.其中关于科技提升、市场拓展、交通和通信发展等引起世界市场“生态扩张”的思想,对全球化程度日益加深境况下“生态文明”和“人类命运共同体”的构建具有重大的理论和实践指导价值.     

网络思想政治教育研究的“空间范式”

思想政治教育学科在理论研究中已经形成了多种范式。从现实社会空间向虚拟网络空间的“空间转向”，为思想政治教育新范式的形成提供了崭新的空间条件。网络思想政治教育的快速发展也为其“空间范式”的提出进行了必要的知识积累。“空间范式”凸显马克思主义公共性理论和社会空间理论的理论特性，旨在透过“空间”的维度，发展网络思想政治教育的理论和方法体系。“空间范式”的提出对于进一步凸显网络思想政治教育研究的学术旨趣，凝聚学科共识，培育知识信念，整合学术资源，建构更加专业的话语体系，形成一个影响广泛的网络思想政治教育学术共同体具有重要意义。     

基于大数据合作资产的适应性创新--数字经济的创新逻辑(二)

万物互联时代,数据被认为是与土地、劳动、资本、知识、技术和管理并重的第七大生产要素。当前,多样化的商业实践创新对数据价值的深度挖掘正在突破经济学在传统意义上对数据及其价值的限定,然而,理论上对此还缺乏相应的概念凝练和探讨。本文从企业与消费者价值共创角度提出大数据合作资产的概念,并探讨基于大数据合作资产和适应性创新的数字经济创新逻辑。研究表明:大数据合作资产是一种互动性资源,是企业与消费者在数字化服务交互中成为能够被另一方所拥有和利用并能创造当前或未来经济收益的数字化资产;单纯拥有异质资源不一定会形成合作资产,只有当异质化资源被有效整合、且被使用于企业与消费者服务交换中,才能体现为行动者创造收益的价值潜力;协同演化促进了企业与消费者对彼此的适应性调整,基于大数据合作资产激发以即时调整、即时反馈和难以预测为特征的适应性创新,进而促进了数字经济创新。     

日语“空间性状”的时间映射制约研究

日语空间性状的时间映射具有局部映射性和选择性，映射具有负向语义选择偏好；形成“水平线性空间>垂直线性空间>立体三维空间”维度制约等级。上述制约特质是时空隐喻概念相似性与语言类型特质共同驱动促成的。概念相似性是其内在驱动力，相似者易于映射，反之则受制约性强；日语的时间性特质是其负向语义选择偏好的外在驱动力。     

Surgical Identity Play: The Anatomy Lab Revisited

The anatomy lab has been studied by sociologists interested in professional socialization since the 1950s. This is because the act of dissecting a cadaver is thought to be foundational for both the student's medical knowledge and the development of the student's professional identity. In this paper, I revisit the anatomy lab both historically and ethnographically. Drawing on theoretical insights from the laboratory ethnography tradition within science and technology studies, I show that students use material artifacts in the lab to support their “surgical identity play.” This activity is structured by the laboratory's performative architecture even while it is unsupervised by anatomy faculty. While many analyses of professional socialization focus on how students learn to interact with patients during their training, I show that the anatomy lab experience is an important form of professional socialization because here students learn to employ surgical instruments, language, and dress, and begin to relate to each other as colleagues.