992 resultados para Local error bounds
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O acesso à informação é um elemento-chave para o desenvolvimento econômico e social de comunidades e grupos sociais. A capacidade de obter informações, além dos contornos restritos da própria comunidade, é parte do capital relacional dos indivíduos e grupos. As transformações dependem das redes existentes entre os indivíduos do grupo e atores localizados em outros espaços sociais, ou seja, do capital social da comunidade. Por ser tratado como capital, da mesma forma que o capital humano ou financeiro, investimentos para sua ampliação devem permitir retornos ou benefícios, servindo de base para o desenvolvimento, o que tem sido amplamente pesquisado. O uso da metodologia de análise de redes sociais vem se difundindo rapidamente, nos últimos anos, trazendo contribuições significativas para a compreensão do papel do capital social no desenvolvimento. A construção de redes sociais e a conseqüente aquisição de capital social estão condicionadas por fatores culturais, políticos e sociais. O próprio conceito de capital social é multidimensional, o que significa incorporar vários níveis e unidades de análise. A combinação da metodologia de análise de redes com uma base teórica sólida amplia os espaços de pesquisa, em um espectro que vai das pesquisas sobre o acesso às informações básicas sobre saúde pública em comunidades urbanas ao comércio internacional, passando pela análise do desenvolvimento regional, através do estudo dos arranjos produtivos locais.
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Significant progress has been made with regard to the quantitative integration of geophysical and hydrological data at the local scale. However, extending the corresponding approaches to the regional scale represents a major, and as-of-yet largely unresolved, challenge. To address this problem, we have developed a downscaling procedure based on a non-linear Bayesian sequential simulation approach. The basic objective of this algorithm is to estimate the value of the sparsely sampled hydraulic conductivity at non-sampled locations based on its relation to the electrical conductivity, which is available throughout the model space. The in situ relationship between the hydraulic and electrical conductivities is described through a non-parametric multivariate kernel density function. This method is then applied to the stochastic integration of low-resolution, re- gional-scale electrical resistivity tomography (ERT) data in combination with high-resolution, local-scale downhole measurements of the hydraulic and electrical conductivities. Finally, the overall viability of this downscaling approach is tested and verified by performing and comparing flow and transport simulation through the original and the downscaled hydraulic conductivity fields. Our results indicate that the proposed procedure does indeed allow for obtaining remarkably faithful estimates of the regional-scale hydraulic conductivity structure and correspondingly reliable predictions of the transport characteristics over relatively long distances.
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Apresenta o quadro teórico e metodológico da pesquisa Janelas da Cultura Local, em implementação no Instituto Brasileiro de Informação em Ciência e Tecnologia com apoio do Conselho Nacional de Desenvolvimento Científico e Tecnológico, que tem como objetivo promover, de forma participativa, ações de informação no sentido da inclusão digital. As premissas do projeto - a informação como força de transformação, a responsabilidade social da ciência da informação e a sua relação intrínseca com a tecnologia da informação - se manifestam na proposta de desenvolvimento de competências para produção e comunicação digital da informação, contribuindo para dotar os participantes de elementos de mediação entre a cultura local e a cultura global. Espera-se, com o projeto, trazer contribuição ao resgate e registro da memória cultural da comunidade envolvida na pesquisa, contribuindo, também, para elevação do Índice de Desenvolvimento Humano no município beneficiado.
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Relata os resultados parciais da pesquisa Janelas da Cultura Local: Quissamã, RJ, em desenvolvimento pelo Grupo de Pesquisa Informação e Inclusão Social do Ibict, com apoio do Conselho Nacional de Desenvolvimento Científico e Tecnológico. Registra e oferece à discussão a abordagem teórica e metodológica aplicada ao projeto e, ao mesmo tempo, divulga uma informação sobre a responsabilidade social da ciência da informação, no Brasil. O projeto é implementado em parceria com a Secretaria Municipal de Educação e Cultura de Quissamã, RJ, e tem como campo de pesquisa a Escola Municipal Maria Ilka, no bairro Santa Catarina. Além do relatório científico, que incluirá sugestão de uma metodologia para inclusão digital de comunidades, espera-se como resultado a aquisição de competências em informação pelos participantes locais, e especialmente, contribuir para promover o resgate e o registro da memória cultural do dessa comunidade.
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The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.
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A new method is used to estimate the volumes of sediments of glacial valleys. This method is based on the concept of sloping local base level and requires only a digital terrain model and the limits of the alluvial valleys as input data. The bedrock surface of the glacial valley is estimated by a progressive excavation of the digital elevation model (DEM) of the filled valley area. This is performed using an iterative routine that replaces the altitude of a point of the DEM by the mean value of its neighbors minus a fixed value. The result is a curved surface, quadratic in 2D. The bedrock surface of the Rhone Valley in Switzerland was estimated by this method using the free digital terrain model Shuttle Radar Topography Mission (SRTM) (~92 m resolution). The results obtained are in good agreement with the previous estimations based on seismic profiles and gravimetric modeling, with the exceptions of some particular locations. The results from the present method and those from the seismic interpretation are slightly different from the results of the gravimetric data. This discrepancy may result from the presence of large buried landslides in the bottom of the Rhone Valley.
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Podeu consultar el document complet de la "XVI Setmana de Cinema Formatiu" a: http://hdl.handle.net/2445/22523
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PURPOSE: Local breast cancer relapse after breast-saving surgery and radiotherapy is associated with increased risk of distant metastasis formation. The mechanisms involved remain largely elusive. We used the well-characterized 4T1 syngeneic, orthotopic breast cancer model to identify novel mechanisms of postradiation metastasis. EXPERIMENTAL DESIGN: 4T1 cells were injected in 20 Gy preirradiated mammary tissue to mimic postradiation relapses, or in nonirradiated mammary tissue, as control, of immunocompetent BALB/c mice. Molecular, biochemical, cellular, histologic analyses, adoptive cell transfer, genetic, and pharmacologic interventions were carried out. RESULTS: Tumors growing in preirradiated mammary tissue had reduced angiogenesis and were more hypoxic, invasive, and metastatic to lung and lymph nodes compared with control tumors. Increased metastasis involved the mobilization of CD11b(+)c-Kit(+)Ly6G(high)Ly6C(low)(Gr1(+)) myeloid cells through the HIF1-dependent expression of Kit ligand (KitL) by hypoxic tumor cells. KitL-mobilized myeloid cells homed to primary tumors and premetastatic lungs, to give rise to CD11b(+)c-Kit(-) cells. Pharmacologic inhibition of HIF1, silencing of KitL expression in tumor cells, and inhibition of c-Kit with an anti-c-Kit-blocking antibody or with a tyrosine kinase inhibitor prevented the mobilization of CD11b(+)c-Kit(+) cells and attenuated metastasis. C-Kit inhibition was also effective in reducing mobilization of CD11b(+)c-Kit(+) cells and inhibiting lung metastasis after irradiation of established tumors. CONCLUSIONS: Our work defines KitL/c-Kit as a previously unidentified axis critically involved in promoting metastasis of 4T1 tumors growing in preirradiated mammary tissue. Pharmacologic inhibition of this axis represents a potential therapeutic strategy to prevent metastasis in breast cancer patients with local relapses after radiotherapy. Clin Cancer Res; 18(16); 4365-74. ©2012 AACR.
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Iowa Counties have been experiencing significant tort claim liability due to the signing of local roads. One such problem is relative to the real or alleged need for signing at uncontrolled intersections of local roads. It has been assumed that the standard CROSS ROAD sign, which calls for a yellow diamond with a black cross, was sufficient to provide the necessary warning that a driver may be approaching an intersection which requires special precautionary driving attention. However, it is possible that this sign on a through highway might conflict with the legal status of the local county road. In light of this situation, it seemed worthwhile to know the extent to which uncontrolled local road intersections were perceived as a potential liability problem; the degree to which the standard CROSS ROAD sign communicated to the driver the message a county engineer wanted at these local road intersections; and whether there were any better signing alternatives available to communicate this hazard to the driver in this situation.
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El presente trabajo, continuando la línea investigadora acerca de las nociones derazón, conciencia y subjetividad en Descartes, tal como se ha defendido en otros artículos ya publicados, aporta un nuevo argumento a una línea de trabajo previamente iniciada, poniendo de relieve que el problema gnoseológico del error viene condicionado por la misma noción cartesiana de racionalidad, y que ésta dista mucho de lo que tradicionalmente se ha entendido como una racionalidad abstracta y formal, libre de los imperativos humanos. Por otro lado, y a la inversa, también se intenta mostrar como el hecho del error contribuye, cartesianamente hablando, a definir un modelo de racionalidad profundamentehumanizada. El artículo, tras una introducción, se propone analizar las relaciones entre los conceptos básicos de racionalidad, dogma, y naturaleza, lo que permitirá a continuación dejar constancia de la copertenencia entre racionalidad y error, para acabar viendo como la libertad humana es la vez, y para ambos, su fundamento último.
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Introducción. El concepto de comorbilidad en trastornos del neurodesarrollo como el autismo resulta, en ocasiones, ambiguo. La coocurrencia entre ansiedad y autismo es clínicamente signifi cativa; sin embargo, no siempre es fácil diferenciar si se trata de una comorbilidad"real", donde las dos condiciones comórbidas son fenotípica y etiológicamente idénticas a lo que supondría dicha ansiedad en personas con un desarrollo neurotípico; si se trata de una ansiedad fenotípicamente alterada por los procesos patogénicos de los trastornos del espectro autista, resultando en una variante específica de éstos, o si partimos de una comorbilidad falsa derivada de diagnósticos diferenciales poco exactos. Desarrollo. El artículo plantea dos hipótesis explicativas de dicha coocurrencia, que se retroalimentan entre sí y que no dejan de ser una refl exión en voz alta partiendo de las evidencias científi cas con las que contamos. La primera es la hipótesis del"error social", y considera que el desajuste en el comportamiento social de las personas con autismofruto de alteraciones en los procesos de cognición social contribuye a exacerbar la ansiedad en el autismo. La segunda hipótesis, la de la carga alostática, defi ende que la ansiedad es la respuesta a un estrés crónico, al desgaste o agotamiento que produce la hiperactivación de ciertas estructuras del sistema límbico. Conclusiones. Las manifestaciones prototípicas de la ansiedad presentes en la persona con autismo no siempre se relacionan con las mismas variables biopsicosociales evidenciadas en personas sin autismo. Las evidencias apuntan a respuestas hiperreactivas de huida o lucha (hipervigilancia) cuando la persona se encuentra fuera de su zona de confort, y apoyan la hipótesis del"error social" y de la descompensación del mecanismo de alostasis que permite afrontar el estrés.
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When researchers introduce a new test they have to demonstrate that it is valid, using unbiased designs and suitable statistical procedures. In this article we use Monte Carlo analyses to highlight how incorrect statistical procedures (i.e., stepwise regression, extreme scores analyses) or ignoring regression assumptions (e.g., heteroscedasticity) contribute to wrong validity estimates. Beyond these demonstrations, and as an example, we re-examined the results reported by Warwick, Nettelbeck, and Ward (2010) concerning the validity of the Ability Emotional Intelligence Measure (AEIM). Warwick et al. used the wrong statistical procedures to conclude that the AEIM was incrementally valid beyond intelligence and personality traits in predicting various outcomes. In our re-analysis, we found that the reliability-corrected multiple correlation of their measures with personality and intelligence was up to .69. Using robust statistical procedures and appropriate controls, we also found that the AEIM did not predict incremental variance in GPA, stress, loneliness, or well-being, demonstrating the importance for testing validity instead of looking for it.