902 resultados para Neighborhood context
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The subject of this master’s thesis was developing a context-based reminder service for mobile devices. Possible sources of context were identified and analyzed. One such source is geographical location obtained via a GPS receiver. These receivers consume a lot of power and techniques and algorithms for reducing power consumptions were proposed and analyzed. The service was implemented as an application on a series 60 mobile phone. The application requirements, user interface and architecture are presented. The end-user experiences are discussed and possible future development and research areas are presented.
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A growing body of work documents the influence of neighborhood environments on child health and well-being. Food insecurity is likely linked to neighborhood characteristics via mechanisms of social disadvantage, including access to and availability of healthy foods and the social cohesion of neighbors. In this paper, we utilize restricted, geo-coded data from the Early Childhood Longitudinal Study, which allows us to link individual children with their neighborhood's census characteristics, to assess how the neighborhoods of food secure and food insecure children differ at both the kindergarten level and in third grade. The average food insecure child lives in a neighborhood with a higher proportion of black and Hispanic residents, a higher proportion of residents living in poverty, and a higher proportion of foreign-born and linguistically isolated residents. After accounting for individual and household-level characteristics, children living in neighborhoods with a high proportion of Hispanic and foreign-born residents have a significantly increased risk of food insecurity compared to children living in neighborhoods which are predominantly white and have high socioeconomic status. We argue that interventions which take neighborhood context into account may be most efficacious for curbing child food insecurity.
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Au Québec, le policier a l’autorité de faire respecter plusieurs lois et d’assurer le maintien de l’ordre. Puisque le policier peut être confronté à une multiplicité de problématiques, il est, dans certaines circonstances, contraint à employer une force pour se protéger lui-même ou pour protéger toute autre personne contre la mort ou contre des lésions corporelles graves. Cependant, bien que l’usage de la force par la police soit l’un des éléments les plus visibles et les plus controversés de l’intervention policière, les connaissances sur ce sujet spécifique demeurent limitées. Afin de pallier à certaines lacunes de la recherche et de la théorie, l’objectif général de ce mémoire vise à identifier les facteurs individuels, situationnels et contextuels liés au niveau de force utilisé par la police lors d’une intervention dans les postes de quartier et dans les secteurs de recensement. Les données dans le cadre de cette étude proviennent des rapports d’incidents déclarés d’usage de la force d’un service de police canadien pour une période couvrant les années 2007 à 2011, les données issues du recensement canadien de 2006 et les données criminelles issues du Programme de déclaration uniforme de la criminalité (DUC). La stratégie analytique privilégiée est la modélisation hiérarchique qui permettra de tester les liens entre les différents niveaux d’analyse. Au terme des analyses multiniveaux, les résultats indiquent que plusieurs facteurs ont un impact sur le niveau de force utilisé par le policier. Au niveau des déterminants individuels du sujet, c’est le fait d’être un homme, de résister physiquement à l’intervention et de posséder une arme qui est associé à des niveaux plus élevés de force. Au niveau des facteurs contextuels, on découvre que la proportion de minorité visible et le désavantage social ont un impact appréciable sur le niveau de force utilisé par le policier. Ces résultats nous amènent donc à conclure que les policiers tiennent surtout compte de la situation immédiate (facteurs individuels et situationnels) pour évaluer le degré de dangerosité ou de menace, mais qu’ils sont également influencés par l’endroit où ils se trouvent. D’autres études sont toutefois nécessaires pour vérifier la constance de nos résultats.
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Thesis (Master's)--University of Washington, 2016-06
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This research examines the site and situation characteristics of community trails as landscapes promoting physical activity. Trail segment and neighborhood characteristics for six trails in urban, suburban, and exurban towns in northeastern Massachusetts were assessed from primary Global Positioning System (GPS) data and from secondary Census and land use data integrated in a geographic information system (GIS). Correlations between neighborhood street and housing density, land use mix, and sociodemographic characteristics and trail segment characteristics and amenities measure the degree to which trail segment attributes are associated with the surrounding neighborhood characteristics.
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This paper analyzes the geography of regional competitiveness in manufacturing in Brazil. The authors estimate stochastic frontiers to calculate regional efficiency of representative firms in 137 regions in the period 2000-2006, in four sectors defined by technological intensity. The efficiency results are analyzed using Markov Spatial Transition Matrices to provide insights into the transition of regions between efficiency levels, considering their local spatial context. The results indicate that geography plays an important role in manufacturing competitiveness. In particular, regions with more competitive neighbors are more likely to improve their relative efficiency (pull effect) over time, and regions with less competitive neighbors are more likely to lose relative efficiency (drag effect). The authors find that the pull effect is stronger than the drag effect.
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OBJECTIVE To analyze the spatial distribution of risk for tuberculosis and its socioeconomic determinants in the city of Rio de Janeiro, Brazil.METHODS An ecological study on the association between the mean incidence rate of tuberculosis from 2004 to 2006 and socioeconomic indicators of the Censo Demográfico (Demographic Census) of 2000. The unit of analysis was the home district registered in the Sistema de Informação de Agravos de Notificação (Notifiable Diseases Information System) of Rio de Janeiro, Southeastern Brazil. The rates were standardized by sex and age group, and smoothed by the empirical Bayes method. Spatial autocorrelation was evaluated by Moran’s I. Multiple linear regression models were studied and the appropriateness of incorporating the spatial component in modeling was evaluated.RESULTS We observed a higher risk of the disease in some neighborhoods of the port and north regions, as well as a high incidence in the slums of Rocinha and Vidigal, in the south region, and Cidade de Deus, in the west. The final model identified a positive association for the variables: percentage of permanent private households in which the head of the house earns three to five minimum wages; percentage of individual residents in the neighborhood; and percentage of people living in homes with more than two people per bedroom.CONCLUSIONS The spatial analysis identified areas of risk of tuberculosis incidence in the neighborhoods of the city of Rio de Janeiro and also found spatial dependence for the incidence of tuberculosis and some socioeconomic variables. However, the inclusion of the space component in the final model was not required during the modeling process.
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Dissertação de Mestrado apresentada ao ISPA - Instituto Universitário
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In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: "Global Weighted Shape-Based Averaging" (GWSBA) and "Local Weighted Shape-Based Averaging" (LWSBA). These methods extend the well known Shape-Based Averaging (SBA) by additionally incorporating the similarity information between the reference (i.e., atlas) images and the target image to be segmented. We also propose a new spatially-varying similarity-weighted neighborhood prior model, and an edge-preserving smoothness term that can be used with many of the existing fusion methods. We first present our new Markov Random Field (MRF) based fusion framework that models the above mentioned information. The proposed methods are evaluated in the context of segmentation of lymph nodes in the head and neck 3D CT images, and they resulted in more accurate segmentations compared to the existing SBA.
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This paper considers how and why an Asian enclave of small businesses has appeared in a poor neighborhood characterized by Puerto Rican and other Latino immigration in the post-industrial city of Worcester, Massachusetts. We begin by examining the role of the US in the world system, and argue that the US hegemonic role and specific political economic aspects of global capitalism (ie. deindustrialization) account for some of the migration stream. Next, using socioeconomic and historical data, interviews, and observations, we outline the history of Worcester’s economy and immigration patterns. We demonstrate that the increasing economic inequality leaves few promising employment options for newcomers to Worcester. Drawing on existing literature on immigrant entrepreneurs and ethnic enclaves, we argue that some aspects of the literature appear to shed light on the Vietnamese enterprises which have so visibly appeared (e.g., ethnic niches), while others, (e.g., middle-man minority theory) are not now reflected in local conflict. We conclude by considering the prospects for immigrants to this neighborhood in light of its political economic context.
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Commentary on "Individual, Family, and Neighborhood Characteristics and Children's Food Insecurity," by Rachel Kimbro, Justin Denney, and Sarita Panchang.