988 resultados para heavy rainfall events


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Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente – Perfil de Engenharia Sanitária

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Objective:We aimed to identify if there was any difference in Levonorgestrel-releasing intrauterine system (LNG-IUS) efficacy or weight gain when used in heavy menstrual bleeding (HMB) treatment, between obese and non-obese women. Population and methods: This was a case-controlled retrospective study undertaken between 2002-2007. 194 women with HMB were treated with LNG-IUS and stratified into two groups accordingly with body mass index (BMI): Obese Group – BMI ≥ 30 (n=53) and Non-obese Group – BMI < 30 (n=141). Age, weight, days of spotting and days of menses were analyzed at 1, 3 and 6 months after insertion and then annually until 2 years. Analytic parameters of anemia (hemoglobin, serum ferritin, mean corpuscular volume) were reviewed at pre-insertion, at 6 months and then annually until 2 years. Results: During the 2-year follow-up there was a similar improvement in two groups regarding duration of menses, spotting and in analytic parameters of anemia. A statistically significant improvement was observed in obese group after 2 years of treatment regarding analytic parameters of anemia and menstrual characteristics, without weight gain. Conclusion: In obese women, the LNG-IUS is an effective treatment for heavy menstrual bleeding, without being associated to weight gain.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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Dissertation submitted in the fufillment of the requirements for the Degree of Master in Biomedical Engineering

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The paper presented herein proposes a reliability-based framework for quantifying the structural robustness considering the occurrence of a major earthquake (mainshock) and subsequent cascading hazard events, such as aftershocks that are triggered by the mainshock. These events can significantly increase the probability of failure of buildings, especially for structures that are damaged during the mainshock. The application of the proposed framework is exemplified through three numerical case studies. The case studies correspond to three SAC steel moment frame buildings of 3-, 9-, and 20- stories, which were designed to pre-Northridge codes and standards. Twodimensional nonlinear finite element models of the buildings are developed using the Open System for Earthquake Engineering Simulation framework (OpenSees), using a finite-length plastic hinge beam model and a bilinear constitutive law with deterioration, and are subjected to multiple mainshock-aftershock seismic sequences. For the three buildings analyzed herein, it is shown that the structural reliability under a single seismic event can be significantly different from that under a sequence of seismic events. The reliability-based robustness indicator used shows that the structural robustness is influenced by the extent by which a structure can distribute damage.

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Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina

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A thesis submitted in fulfillment of the requirements for the degree of the Masters in Molecular Genetics and Biomedicine

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Dissertação para obtenção do Grau de Mestre em Tecnologia e Segurança Alimentar

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Spatial analysis and social network analysis typically take into consideration social processes in specific contexts of geographical or network space. The research in political science increasingly strives to model heterogeneity and spatial dependence. To better understand and geographically model the relationship between “non-political” events, streaming data from social networks, and political climate was the primary objective of the current study. Geographic information systems (GIS) are useful tools in the organization and analysis of streaming data from social networks. In this study, geographical and statistical analysis were combined in order to define the temporal and spatial nature of the data eminating from the popular social network Twitter during the 2014 FIFA World Cup. The study spans the entire globe because Twitter’s geotagging function, the fundamental data that makes this study possible, is not limited to a geographic area. By examining the public reactions to an inherenlty non-political event, this study serves to illuminate broader questions about social behavior and spatial dependence. From a practical perspective, the analyses demonstrate how the discussion of political topics fluсtuate according to football matches. Tableau and Rapidminer, in addition to a set basic statistical methods, were applied to find patterns in the social behavior in space and time in different geographic regions. It was found some insight into the relationship between an ostensibly non-political event – the World Cup - and public opinion transmitted by social media. The methodology could serve as a prototype for future studies and guide policy makers in governmental and non-governmental organizations in gauging the public opinion in certain geographic locations.

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INTRODUCTION: Visceral leishmaniasis is a serious public health problem that requires global control strategies, especially with respect to factors that may intervene in reducing the incidence of endemicity. In this work, rainfall density and temperature were correlated with the incidence of human cases in an area endemic for leishmaniasis in São Luis do Maranhão, Northeastern Brazil. METHODS: Notification of human cases by the National Health Foundation/Regional Coordination of Maranhão (FUNASA/COREMA) from 2002 to 2010 was used. Ecological data (mean temperature and rainfall density) were provided by the Meteorological Office of State. RESULTS: A significant association was verified between the number of VL cases and rainfall rate but not in the analysis concerning mean temperatures. CONCLUSIONS: These data suggest that the control actions in visceral leishmaniasis should be performed during rainy season in the State of Maranhão, which is in the first half of the year.

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Introduction This paper describes adverse events (AEs) temporally associated to the pandemic influenza A (H1N1) vaccine observed in a reference center in São Paulo, Brazil, during a 2010 mass vaccination campaign. Methods A retrospective study involving persons who sought medical care for AEs following influenza vaccination. Data were retrieved from medical records, vaccine AE notification forms, and a computerized system for immunobiological registration. Results Sixty-six vaccinees sought medical care for AEs after immunization. The most frequent AEs were fever, headache, myalgia, and pain at the injection site. No serious AEs were reported. Conclusions Few vaccinees spontaneously reported AEs to influenza A (H1N1) vaccine at this center.

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This paper studies the economic and social impact of Faz Música Lisboa on the segment of society that feels from any direct or indirect consequence due to its existence. A qualitative research based on surveys and interviews is made to retract a list of the benefits and costs that each stakeholder perceives. Relying on the quantifiable variables, it is performed a cost-benefit analysis to measure how much the event is “worth” for the community. I conclude this is a viable project, as it brings a positive net benefit to the society, value that could increase with a higher institutional support.