999 resultados para Boston. Emancipation statue.


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Este trabalho tem como objeto de estudo as pequenas empresas criadas pelos brasileiros que emigraram para Boston a partir de meados da década de 80. Foi feito um levantamento e uma caracterização sócioeconomica tanto das firmas como de seus proprietários. A pesquisa incorporou ainda dois outros aspectos: a articulação local em torno da criação de uma Câmara de Comércio Exterior em Boston e as classificações sobre raça e etnicidade dos proprietários.

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O trabalho teve como objeto de estudo as pequenas empresas criadas pelos brasileiros que emigraram para Boston a partir de meados da década de 80. Foi feito um levantamento e uma caracterização das firmas, assim como de seus proprietários. Entretanto, o foco da análise incorporou outras dimensões, e não apenas aquelas de caráter econômico/empresarial. Ou seja, também foi analisada a dimensão sócio-cultural do papel desempenhado por estas empresas e que, do ponto de vista conceitual, caracteriza a chamada "economia étnica" organizada pelos grupos imigrantes daquele país.

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In 2000, the city of Barcelona launched 22@ Barcelona, dubbed the innovation district. The city sees the project as a means to accelerate Barcelona’s transition toward the knowledge economy. Other cities around the world have since followed the example of Barcelona, building or planning to build their own innovation districts. Boston began to establish its innovation district in 2010. Cities’ ultimate goal for these initiatives is to become more innovative and thus more competitive. Innovative districts are different from technology parks in that they aim to respond to a new economic paradigm in which economic production flows back to cities. The 22@ Barcelona model involves theoretical designs regarding five layers of innovation: economics, urban planning, productive, innovative, and creative. The comparative approach between 22@ Barcelona and Boston’s Innovation District intends to highlight the similarities and differences between those two innovation districts as well as providing a framework to define innovation districts.

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The present action research article is linked to an ergonomics project in a university hospital. The author's proposal is to focus action on the effective worker involvement required for the creation of spaces / mechanisms within organizations where people can enhance cooperation and deliberation on matters relating to work. For this purpose, a committee was introduced to assist in finding problems and solutions directly in work situations, so that workers could experience relative autonomy allowing them to develop procedures and choose tools appropriate to their own real needs. Based on this organizational implementation and on subsequent interviews, the practical results are analyzed and related to employee involvement. One can conclude that workers in all areas of the organization can be active elements for improving working conditions and productivity in companies.

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This thesis explores the Boston Police Strike of 1919 through the lens of class struggle and ethnic tension. Through an examination of the development of Boston’s class structure, particularly focused on the upper class Brahmins and the Irish working class, it concludes that the Brahmins’ success in suppressing the police strikeallowed for their maintenance of socioeconomic power within the city despite their relatively small population. Based on their extreme class cohesion resulting from the growing prominence of Harvard University as well as the Brahmins’ unabashed discrimination against their ethnic neighbors in almost every sphere of society, theBrahmins were able to maintain their power in Boston’s cultural world. The Irish working class, on the other hand, which attempted to use the increasing popularity of public and police unionization to challenge the status and power of the Brahmins through the creation of the Boston Police Union and subsequently through the notorious Boston Police Strike of 1919 was ultimately unsuccessful, and it was left in the same position in which it started, at the bottom of the social ladder. The suppression of the strike by members of the upper class and their allies, particularly those in high government positions, served to preserve and affirm the socioeconomic power of the Brahmins over much of Boston society and brought the era of public police unionization to a close.

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Transportation corridors in megaregions present a unique challenge for planners because of the high concentration of development, complex interjurisdictional issues, and history of independent development of core urban centers. The concept of resilience, as applied to megaregions, can be used to understand better the performance of these corridors. Resiliency is the ability to recover from or adjust easily to change. Resiliency performance measures can be expanded on for application to megaregions throughout the United States. When applied to transportation corridors in megaregions and represented by performance measures such as redundancy, continuity, connectivity, and travel time reliability, the concept of resiliency captures the spatial and temporal relationships between the attributes of a corridor, a network, and neighboring facilities over time at the regional and local levels. This paper focuses on the development of performance measurements for evaluating corridor resiliency as well as a plan for implementing analysis methods at the jurisdictional level. The transportation corridor between Boston, Massachusetts, and Washington, D.C., is used as a case study to represent the applicability of these measures to megaregions throughout the country.

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Boston Harbor has had a history of poor water quality, including contamination by enteric pathogens. We conduct a statistical analysis of data collected by the Massachusetts Water Resources Authority (MWRA) between 1996 and 2002 to evaluate the effects of court-mandated improvements in sewage treatment. Motivated by the ineffectiveness of standard Poisson mixture models and their zero-inflated counterparts, we propose a new negative binomial model for time series of Enterococcus counts in Boston Harbor, where nonstationarity and autocorrelation are modeled using a nonparametric smooth function of time in the predictor. Without further restrictions, this function is not identifiable in the presence of time-dependent covariates; consequently we use a basis orthogonal to the space spanned by the covariates and use penalized quasi-likelihood (PQL) for estimation. We conclude that Enterococcus counts were greatly reduced near the Nut Island Treatment Plant (NITP) outfalls following the transfer of wastewaters from NITP to the Deer Island Treatment Plant (DITP) and that the transfer of wastewaters from Boston Harbor to the offshore diffusers in Massachusetts Bay reduced the Enterococcus counts near the DITP outfalls.

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Traffic particle concentrations show considerable spatial variability within a metropolitan area. We consider latent variable semiparametric regression models for modeling the spatial and temporal variability of black carbon and elemental carbon concentrations in the greater Boston area. Measurements of these pollutants, which are markers of traffic particles, were obtained from several individual exposure studies conducted at specific household locations as well as 15 ambient monitoring sites in the city. The models allow for both flexible, nonlinear effects of covariates and for unexplained spatial and temporal variability in exposure. In addition, the different individual exposure studies recorded different surrogates of traffic particles, with some recording only outdoor concentrations of black or elemental carbon, some recording indoor concentrations of black carbon, and others recording both indoor and outdoor concentrations of black carbon. A joint model for outdoor and indoor exposure that specifies a spatially varying latent variable provides greater spatial coverage in the area of interest. We propose a penalised spline formation of the model that relates to generalised kringing of the latent traffic pollution variable and leads to a natural Bayesian Markov Chain Monte Carlo algorithm for model fitting. We propose methods that allow us to control the degress of freedom of the smoother in a Bayesian framework. Finally, we present results from an analysis that applies the model to data from summer and winter separately