943 resultados para Huerta, Francisco Manuel de .
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1976
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1998
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1999
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O objetivo deste trabalho foi analisar as estatÃsticas disponÃveis para aferir a evolução, nos últimos 5 anos (2010-2014), das exportações das frutas de maior importância econômica para o Submédio do Vale do São Francisco, enfocando tanto o comportamento agregado quanto o mercado europeu e o americano. A base de dados usada foi a do sistema Aliceweb2, do Ministério do Desenvolvimento, Indústria e Comércio Exterior, (MDIC).
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This study sought predictors of mortality in patients aged >or=75 years with a first ST-segment elevation myocardial infarction (STEMI) and evaluated the validity of the GUSTO-I and TIMI risk models. Clinical variables, treatment and mortality data from 433 consecutive patients were collected. Univariable and multivariable logistic regression analyses were applied to identify baseline factors associated with 30-day mortality. Subsequently a model predicting 30-day mortality was created and compared with the performance of the GUSTO-I and TIMI models. After adjustment, a higher Killip class was the most important predictor (OR 16.1; 95% CI 5.7-45.6). Elevated heart rate, longer time delay to admission, hyperglycemia and older age were also associated with increased risk. Patients with hypercholesterolemia had a significantly lower risk (OR 0.46; 95% CI 0.24-0.86). Discrimination (c-statistic 0.79, 95% CI 0.75-0.84) and calibration (Hosmer-Lemeshow 6, p = 0.5) of our model were good. The GUSTO-I and TIMI risk scores produced adequate discrimination within our dataset (c-statistic 0.76, 95% CI 0.71-0.81, and c-statistic 0.77, 95% CI 0.72-0.82, respectively), but calibration was not satisfactory (HL 21.8, p = 0.005 for GUSTO-I, and HL 20.6, p = 0.008 for TIMI). In conclusion, short-term mortality in elderly patients with a first STEMI depends most importantly on initial clinical and hemodynamic status. The GUSTO-I and TIMI models are insufficiently adequate for providing an exact estimate of 30-day mortality risk.
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The purpose of this study is to compare the 4-year biochemical disease-free survival (BDFS) of patients with prostate cancer (PCa) staged according to multiparametric MRI (mpMRI) and treated with radical prostatectomy (RP) versus intensity-modulated radiation therapy (IMRT) ≥76 Gy ± hormonal therapy (HT).
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This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point detection and for orientation map extraction. Then, we focus on the different learning models considered to build the classifiers used to label new fingerprints. Taxonomies and classifications for the feature extraction, singular point detection, orientation extraction and learning methods are presented. A critical view of the existing literature have led us to present a discussion on the existing methods and their drawbacks such as difficulty in their reimplementation, lack of details or major differences in their evaluations procedures. On this account, an experimental analysis of the most relevant methods is carried out in the second part of this paper, and a new method based on their combination is presented.
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In the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the reviewed methods would perform better in a real implementation we end up in a discussion which showed the difficulty in answering this question. No previous comparison exists in the literature and comparisons among papers are done with different experimental frameworks. Moreover, the difficulty in implementing published methods was stated due to the lack of details in their description, parameters and the fact that no source code is shared. For this reason, in this paper we will go through a deep experimental study following the proposed double perspective. In order to do so, we have carefully implemented some of the most relevant feature extraction methods according to the explanations found in the corresponding papers and we have tested their performance with different classifiers, including those specific proposals made by the authors. Our aim is to develop an objective experimental study in a common framework, which has not been done before and which can serve as a baseline for future works on the topic. This way, we will not only test their quality, but their reusability by other researchers and will be able to indicate which proposals could be considered for future developments. Furthermore, we will show that combining different feature extraction models in an ensemble can lead to a superior performance, significantly increasing the results obtained by individual models.
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Objectives. This paper explores the use of regression models for estimating health status of schizophrenic patients, from a Bayesian perspective. Our aims are: 1- To obtain a set of values of health states of the EQ-5D based on self-assessed health from a sample of schizophrenic patients. 2- To analyse the differences in the health status and in patients’ perceptions of their health status between four mental-health districts in Spain. Methods. We develop two linear models with dummy variables. The first model seeks to obtain an index of the health status of the patients using a VAS as a dependent variable and the different dimensions of EQ-5D as regressors. The second model allows to analyse the differences between the self-assessed health status in the different geographic areas and also the differences between the patients’ self-assessed health states, irrespective of their actual health state, in the different geographic areas. The analysis is done using Bayesian approach with Gibbs sampling (computer program WinBUGS 1.4). Data concerning self-assessed EQ-5D with VAS from four geographic areas of schizophrenic patients were obtained for the purposes of this analysis. Results. We obtained the health status index for this sample and analysed the differences for this index between the four geographic areas. Our study reveals variables that explain the differences in patients’ health status and differences in their health states assessment. We consider four possible scenarios.
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Van añadidas en esta impression muchas cosas, cuya tabla se pone despues del prologo.
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En Tomo V. 2 h. de grabados calcográficos representando monedas de Huesca.
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286 hojas : ilustraciones, fotografÃas.
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12 hojas.
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http://www.archive.org/details/metlakahtlaalask00duncrich
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La emergencia de la Agricultura Urbana (AU) en Rosario, Santa Fe, surge como alternativa productiva en un contexto de crisis económica para la inclusión social posibilitando el acceso a los alimentos a familias en situación de vulnerabilidad; evolucionando en algunos casos hacia redes solidarias de producción, transformación y comercialización. El presente trabajo indaga la potencialidad agroecológica de la AU rosarina mediante un estudio de caso. Se plantearon dos objetivos: (1) conocer y caracterizar la dinámica de los procesos sociales y productivos que dieron origen al Programa de AU y a la emergencia del Parque Huerta Molino Blanco como caso estudiado; (2) indagar la presencia de elementos que den cuenta de un desarrollo agroecológico. La interpretación que, desde la AgroecologÃa, se hace sobre la potencialidad de la AU introduce la articulación dialéctica entre lo básicamente descriptivo y la complejidad epistemológica de la diversidad sociocultural y ecológica utilizando para ello una metodologÃa de investigación participativa, donde se entremezclan las tres perspectivas de investigación y su correlato con las dimensiones de indagación agroecológica (distributiva, estructural y dialéctica). Los métodos y técnicas empleados son caracterizados a través del discurso de los huerteros/as. La sÃntesis del proceso histórico de Rosario da cuenta de los elementos mencionados como caracterÃsticos de un proceso de agroecologÃzación, institucionalización y consolidación de la AU como polÃtica pública. Los Parques Huerta como estrategia de uso de suelo constituyen una novedad y un potencial en la construcción y consolidación de modelos alternativos de AU erigiendo espacios productivos multifuncionales (productivos, educativos, recreativos y paisajÃsticos). Podemos decir que la consolidación de sistemas agroalimentarios locales y las polÃticas de desarrollo endógeno son fenómenos estrechamente asociados al desarrollo agroecológico donde se prioriza la articulación de diversos actores locales en un proyecto polÃtico que apunta a la transformación social en los territorios.