942 resultados para INFER
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In this study we aim to investigate the health discrepancies arising from unequal economic status, known as the “wealth-health gradient”. Our sample comprises 47,163 individuals from 14 European countries in the SHARE Wave 4 (2011), representing the population aged 50 and older. Through a cross-sectional OLS regression model, we have tested the impact of country-level indicators to infer their effect on personal health and on the magnitude of the gradient. The results find that private expenditure yields, on average, a higher, but fast decreasing, health benefit than public expenditure; and that income inequality is irrelevant for reducing health inequalities.
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The purpose of this project is to understand the outcomes of the implementation of 4 star city hotel from the Vila Galé brand in Maputo, Mozambique, and the conditions under which such project would be financially worthy. Both the tourism market in Mozambique and the Vila Galé Hotels company were studied, aligned with a projection of the operational results. The conclusions allow to infer that this is a project aligned with the overall company strategy and that the sector’s growth prospects in Mozambique would allow to achieve positive results that encourage Vila Galé to invest.
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This work project regards a challenge presented by a Portuguese organization on the retail sector, SONAEMC, which is a case study of how and why fruit shrinkage occurs in the fruit supply chain within their convenience stores. A qualitative research methodology enabled to infer in which stages throughout the chain shrinkage’s causes occur and, to conclude that internal rules for procedures and processes are not always followed and whose compliance would be enough to reduce fruit shrinkage. The key conclusion is that if fruit stock loss is reduced by as much as 15% the category’s profitability could increase about 8%.
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Dissertação de Mestrado apresentada ao ISPA - Instituto Universitário
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This report aims to study the evolution of the Covered Interest Rate Parity (CIP) over the course of the last years. With the 2007 financial crisis many fundamental relationships changed, and CIP was not an exception. To infer whether or not this was an isolate event, the behaviour of the CIP during the European Sovereign debt crisis was studied. Currency pairs such as EURUSD showed significant CIP deviations during both crises. This work shows that currently, spreads are mostly explained by counterparty risk and market sentiment factors, which are extremely different factors from the ones explaining the spread during 2003-06. Key
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Despite the fact that public medical care has being heavily subsidized through a statutory national health system there has been a growing number of people who opt to enroll in extra private coverage. Using a two part model to infer the insurance decision and subsequent amount of insurance chosen we found out that people’s decision over private health coverage is not related with their health. The pattern of consumption of medical care that is not available in the public sector and a good socio economic background were found significant modeling the demand for private health insurance.
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The study investigates the impact of the managerial overconfidence bias on the capital structure of a sample of 78 firms from Chile, Peru and Colombia, during the years 1996-2014. We infer that there is a positive relation between the leverage ratio and a) the overconfidence; b) the experience and c) the male gender of the executive. Overconfidence is measured according to the status of the CEO (entrepreneur or not-entrepreneur) and the hypotheses are tested through dynamic panel data model. The empirical results show a highly significant positive correlation between overconfidence and leverage ratio and between gender and leverage ratio while, in contrast, the relation between experience and leverage ratio is negative.
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Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.
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Field lab: Business project
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The evolution of a technology and the understanding of the moment in its life cycle is of the utmost importance to the entry strategy devised by any company. Having the entry of EDP Brazil on the micro-generation market as background, the present workproject attempts to summarize the most important topics in management literature concerning the theory of technology life-cycles and the updated literature on developments of photovoltaic technology to infer the current positioning of this technology in the theoretical models. The need for this type of work stems from the very common lack of bridging between the academic research of economic aspects relevant to the evolution of technologies and the agents of research on specific technological issues. When this occurs, namely due to the external nature of research to companies, thereby escaping the harsh economic controls of a profit seeking enterprise, the evolution many times lacks the appropriate framework to be studied on a more forward looking manner and to allow for management decisions to be based on.
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The assessment of existing timber structures is often limited to information obtained from non or semi destructive testing, as mechanical testing is in many cases not possible due to its destructive nature. Therefore, the available data provides only an indirect measurement of the reference mechanical properties of timber elements, often obtained through empirical based correlations. Moreover, the data must result from the combination of different tests, as to provide a reliable source of information for a structural analysis. Even if general guidelines are available for each typology of testing, there is still a need for a global methodology allowing to combine information from different sources and infer upon that information in a decision process. In this scope, the present work presents the implementation of a probabilistic based framework for safety assessment of existing timber elements. This methodology combines information gathered in different scales and follows a probabilistic framework allowing for the structural assessment of existing timber elements with possibility of inference and updating of its mechanical properties, through Bayesian methods. The probabilistic based framework is based in four main steps: (i) scale of information; (ii) measurement data; (iii) probability assignment; and (iv) structural analysis. In this work, the proposed methodology is implemented in a case study. Data was obtained through a multi-scale experimental campaign made to old chestnut timber beams accounting correlations of non and semi-destructive tests with mechanical properties. Finally, different inference scenarios are discussed aiming at the characterization of the safety level of the elements.
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Tese de Doutoramento em Estudos da Criança (área de especialização em Educação Musical)
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Tese de Doutoramento em Engenharia Química e Biológica.
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Dissertação de mestrado em Marketing e Estratégia
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Esse estudo tem como objetivo refletir sobre a atuação profissional no âmbito da lazer, abordando a intervenção sob ponto de vista da ética. Partimos da premissa que os valores e relações estabelecidos na sociedade moderna, lócus das práticas de lazer, interferem na interpretação e organização de modos de vida. Aproximando a ação do profissional de Educação Física com o campo do lazer, apontamos para uma atuação influenciada pela conduta ética e política na direção da mediação. Considerando as reflexões sobre ética e atuação profissional, podemos inferir que a área de Educação Física se consolida por exercer o papel social significativo aos processos educativos do lazer. A atuação profissional no lazer possibilita através da mediação na prática a educação para novos olhares e sensibilidades necessários à construção de uma sociedade igualitária e democrática.