County child poverty rates in the US: a spatial regression approach

We apply methods of exploratory spatial data analysis (ESDA) and spatial regression analysis to examine intercounty variation in child poverty rates in the US. Such spatial analyses are important because regression models that exclude explicit specification of spatial effects, when they exist, can lead to inaccurate inferences about predictor variables. Using county-level data for 1990, we re-examine earlier published results [Friedman and Lichter (Popul Res Policy Rev 17:91–109, 1998)]. We find that formal tests for spatial autocorrelation among county child poverty rates confirm and quantify what is obvious from simple maps of such rates: the risk of a child living in poverty is not (spatially) a randomly distributed risk at the county level. Explicit acknowledgment of spatial effects in an explanatory regression model improves considerably the earlier published regression results, which did not take account of spatial autocorrelation. These improvements include: (1) the shifting of “wrong sign” parameters in the direction originally hypothesized by the authors, (2) a reduction of residual squared error, and (3) the elimination of any substantive residual spatial autocorrelation. While not without its own problems and some remaining ambiguities, this reanalysis is a convincing demonstration of the need for demographers and other social scientists to examine spatial autocorrelation in their data and to explicitly correct for spatial externalities, if indicated, when performing multiple regression analyses on variables that are spatially referenced. Substantively, the analysis improves the estimates of the joint effects of place-influences and family-influences on child poverty.

Demography as a Spatial Social Science

Scholars in many social science disciplines have taken note of the re-emerging interest in issues concerning social processes embedded within a spatial context. While some argue that this awakening is refreshing and new and, in fact, long overdue, I demonstrate that spatially focused demographic theories and research agendas clearly predate contemporary interest in these topics. I assert that recent methodological advancements have merely encouraged and brought refinement to the expanding body of spatially oriented population research—research strongly rooted in demographic tradition and practice. Indeed, I make the claim that, until roughly the mid-20th century, virtually all demography in the United States (and elsewhere, but not specifically examined here) was spatial demography. Then, shortly after mid-century, a paradigm shift occurred, and the scientific study of population quickly came to be dominated by attention to the individual as the agent of demographic action. Traditional spatial demography—macro-demography—gave way to micro-demography, and, I argue, most demographers simply abandoned the data and approach of spatial demography. In closing the paper I include a brief discussion of the recent awakening that has come to spatial demographers from developments in other disciplines, principally geography, regional science, and spatial econometrics.     

Temporal and spatial variation in age-specific net migration in the United States

As fertility differences in the United States diminish, population redistribution trends are increasingly dependent on migration. This research used newly developed county-level age-specific net migration estimates for the 1990s, supplemented with longitudinal age-specific migration data spanning the prior 40 years, to ascertain whether there are clear longitudinal trends in age-specific net migration and to determine if there is spatial clustering in the migration patterns. The analysis confirmed the continuation into the 1990s of distinct net migration "signature patterns" for most types of counties, although there was temporal variation in the overall volume of migration across the five decades. A spatial autocorrelation analysis revealed large, geographically contiguous regions of net in-migration (in particular, Florida and the Southwest) and geographically contiguous regions of net out-migration (the Great Plains, in particular) that persisted over time. Yet the patterns of spatial concentration and fragmentation over time in these migration data demonstrate the relevance of this "neighborhood" approach to understanding spatiotemporal change in migration.     

重构现场:新闻报道的空间叙事策略

新闻报道的空间建构是新闻报道有效叙事之重点环节,聚焦于现场的报道,是一种立足于深刻认知新闻现场和现场新闻之内在关联的选择性重构,现场既代表新闻报道的语境与情境还原,同时也是实现传受双方互动理解的一种审美超越。现场的报道空间建构不仅体现出新闻报道的时效要求对叙事策略选择的必然,更通过叙事设计的结构化、进入化策略来实践传受双方知觉场的共建,尤其在当代新媒体环境下,新闻报道的空间叙事策略将伴随社会空间的心灵感知而不断创新发展。重视并有效发掘、应用那些能够激发受众感知的想象力的空间要素,才是新闻报道未来创新的方向,空间的重构也绝非是媒介技术提供的拟态逼真,而是构建合乎受众认知需求与审美体验的空间实践,是叙事的社会参与,也是其心灵对话空间的共建。     

Transformations of Old Colony Mennonites: the making of a trans‐statal community

Through an analysis that combines the historical development of the Old Colony Mennonites, which covers their migrations from sixteenth‐century Europe to late twentieth‐century Latin America, with ethnographic field work in Bolivia and Argentina, I examine the genesis and maintenance of a religiously based trans‐statal community. I argue for the conceptual maintenance of a clear distinction between transnational and trans‐statal processes in understanding the cross‐border practices of Old Colony Mennonites. Mennonites do not move in and out of nations but between the territories over which different states claim sovereignty. I further show that the trans‐statal practices of Old Colony Mennonites are a strategic means of outmanoeuvring states in their imposition of national identities within a context of nation‐states being the dominant political formation. The case contributes to the call for a shift in emphasis from nations to faith communities in transnational and trans‐statal studies.     

产品"商家设计"的价值

由于商业经营者的积极参与而导致设计过程与设计方式发生改变,是当前产品设计活动中出现的一个新的现象,即产品设计过程中的“商家设计”现象。“商家设计”活动由特定的市场环境与技术条件所催生,其价值不仅在于能够为产品生产企业、产品营销商和产品用户带来现实的利益,同时还在于拓展了工业设计实践的领域,为工业设计应用方法研究提供了新的空间。     

血管生成素通过ERK信号通路促进HeLa细胞的增殖

目的通过细胞外信号调节激酶（extracellularregulatedproteinkinases,ERK）通路及NF-xB信号途径探讨血管生成素（angiogenin,Ang）对HeLa细胞的促增殖及抗凋亡作用机制。方法用不同浓度的重组人Ang刺激HeLa细胞,MTr法分析Ang对HeLa细胞的促增殖作用,蛋白质印迹实验检测ERK信号通路相关分子的表达情况。U0126抑制ERK信号通路,检测Ang诱导的ERKl／2的磷酸化及c—myc的表达情况,同时检测Ang对细胞增殖的影响。敲低Ang的表达,检测细胞的凋亡情况。双荧光素酶报告基因检测Ang对NF-KB报告基因的激活。蛋白水平检测Ang刺激的HeLa细胞后,NF—KB通路相关分子的表达。结果Ang能促进HeLa细胞增殖,ERKl／2的磷酸化水平及c—myc的表达随重组人Ang浓度的升高而增加。U0126能抑制Ang诱导的ERKI／2的磷酸化、c—myc的上调及细胞的增殖。Ang的低表达促进HeLa细胞的凋亡,但不影响NF-KB报告基因的激活及NF—KB通路上相关分子的表达。结论Ang能够促进HeLa细胞增殖,并通过活化ERK通路促进细胞的增殖,但其抑凋亡作用与NF-KB通路无关。     

Service Architecture and Modularity*

An understanding of the nature of service architecture and modularity is crucial to service design and innovation. Two sets of approaches are developed that further our understanding and support decision making. First is a systematic decomposition approach to architecture modeling that allows organizations to understand their current architecture, evaluate alternative architectures, and identify key interfaces between different parts of the service. Second, the article develops a service modularity function (SMF), a mathematical model indicating the degree of modularity deriving from unique services and the degree to which the modules can be replicated across a variety of services. Three areas are identified that can contribute to competitiveness: the possession of unique service modules or elements not easily copied in the short term by competitors; the ability to exploit these through replication across multiple services and/or multiple sites; and the presence of a degree of modularity, which in turn supports both customization and rapid new product development. The SMF can support decision making in the design of services and the exploitation of service innovation. In particular, the relationship between architecture and modularity and the roles of service contact personnel in the customization of services is shown to be complementary. It is proposed that service customization can be either combinatorial (the combination of a set of service processes and products to create a unique service) or menu driven (the selection of one or more services from a set of existing services/products to meet customer needs).     

Generalized modulus-ratio tests for analysis of factorial designs with zero degrees of freedom for error

A method of statistical analysis of single replicate and fractional factorial designs requiring no estimate of error variance is given. By comparison of the relative magnitudes of independent effect .estimates, effects corresponding to relatively large effect estimates may be asserted to be nonzero. The procedure maintains a prespecified experimentwise error rate for a general class of modulus-ratio statistics.