988 resultados para Explanatory typologies
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Construction and Building Materials 49 (2013), 315-327
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Dissertação apresentada à Escola Superior de Artes Aplicadas do Instituto Politécnico de Castelo Branco em associação com a Faculdade de Arquitetura da Universidade de Lisboa.
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Dissertação para obtenção do Grau de Doutor em Engenharia do Ambiente
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The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.
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This paper presents a preliminary acoustic study concerning the development of the first prototype of a patented removable module for interior partitioning. It is a prefabricated, vertical element for division of interior spaces that does not require the use of gutters or technical support. A set of such modules, linearly disposed, will create a division, allowing the personalization of any indoor area, including open office spaces, rooms, among others. The main characteristic that distinguishes this element from the existing solutions available on the market is that its mobility relies exclusively on a set of integrated bearings at the base of each module. Through an incorporated elevation system, the user can lower the module, move it to the desired position and re-elevate it until pressed against the ledge of the ceiling, making it stable. In this sense, and taking into account its acoustic behavior, several tests were made in the LNEC acoustics lab. Airborne sound insulation tests for different typologies of the prototype were conducted, according to the applicable standards EN ISO 354:2003, EN ISO 717-1:2013 and EN ISO 10140-2:2010. Some important conclusions and analysis of the prototype viability were extracted.
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This Work Project investigates the determinants of reelection using data on the 278 Portuguese mainland municipalities for the period 1976-2009. We implement a logit fixed effect model to control for the municipalities’ unobserved characteristics that remain constant over time. Political variables, such as the vote share of the incumbent’s party in previous election, the number of mayor’s consecutive mandates and abstention rate, are found to be relevant in explaining incumbent’s reelection. Moreover, as to the mayor’s individual characteristics, age and education contribute to explain reelection prospects. We also provide weak evidence that a higher degree of fiscal autonomy increases political turnover and that the good economic prospects of the municipality positively affect reelection. Finally, the residents’ level of education and the size of the municipal population have an explanatory power on mayor’s reelection. We perform several robustness checks to confirm these results.
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Currently, China has the biggest automobile industry in the world. China’s economic situation helped the automobile market, as the internal demand of passenger cars increased substantially in the last years. Chinese automobile industry’s astonishing expansion over the past years has attracted many foreign automobile groups. SEAT decided to enter the Chinese market, following its expansion strategy to enter new markets. The purpose of this study is to analyse and understand the strategic entry of SEAT in the Chinese market, hence the choice of an explanatory case study (Yin, 2003). This study extends this analysis by examining the chines automobile market, more specifically the demand, the market segmentation and the intensity of competition, reviewing the SEAT company history, their competitive positioning and resources. I conclude that, although the Chinese market has growing potential, SEAT has failed to achieve its initial objective. The company has not been able to create a brand awareness in the Chinese market, unlike other foreign brands that have managed to accomplish that. This occurred, mostly, because of the high prices in comparison to its competitors due to additional import cost, such as import duties, transportation and distribution.
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This paper analyzes the in-, and out-of sample, predictability of the stock market returns from Eurozone’s banking sectors, arising from bank-specific ratios and macroeconomic variables, using panel estimation techniques. In order to do that, I set an unbalanced panel of 116 banks returns, from April, 1991, to March, 2013, to constitute equal-weighted country-sorted portfolios representative of the Austrian, Belgian, Finish, French, German, Greek, Irish, Italian, Portuguese and Spanish banking sectors. I find that both earnings per share (EPS) and the ratio of total loans to total assets have in-sample predictive power over the portfolios’ monthly returns whereas, regarding the cross-section of annual returns, only EPS retain significant explanatory power. Nevertheless, the sign associated with the impact of EPS is contrarian to the results of past literature. When looking at inter-yearly horizon returns, I document in-sample predictive power arising from the ratios of provisions to net interest income, and non-interest income to net income. Regarding the out-of-sample performance of the proposed models, I find that these would only beat the portfolios’ historical mean on the month following the disclosure of year-end financial statements. Still, the evidence found is not statistically significant. Finally, in a last attempt to find significant evidence of predictability of monthly and annual returns, I use Fama and French 3-Factor and Carhart models to describe the cross-section of returns. Although in-sample the factors can significantly track Eurozone’s banking sectors’ stock market returns, they do not beat the portfolios’ historical mean when forecasting returns.
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Double Degree Masters in Economics Program from Insper and NOVA School of Business and Economics
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This project focuses on the study of different explanatory models for the behavior of CDS security, such as Fixed-Effect Model, GLS Random-Effect Model, Pooled OLS and Quantile Regression Model. After determining the best fitness model, trading strategies with long and short positions in CDS have been developed. Due to some specifications of CDS, I conclude that the quantile regression is the most efficient model to estimate the data. The P&L and Sharpe Ratio of the strategy are analyzed using a backtesting analogy, where I conclude that, mainly for non-financial companies, the model allows traders to take advantage of and profit from arbitrages.
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User-generated advertising changed the world of advertising and changed the strategies used by marketers. Many researchers explored the dimensions of source credibility in traditional media and online advertising. However, little previous research explored the dimensions of source credibility in the context of user-generated advertising. This exploratory study aims to investigate the different dimensions of source credibility in the case of user-generated advertising. More precisely, this study will explore the following factors: (1) objectivity, (2) trustworthiness, (3) expertise, (4) familiarity, (5) attractiveness and (6) frequency. The results suggest that some of the dimensions of source credibility (objectivity, trustworthiness, expertise, familiarity and attractiveness) remain the same in the case of user-generated advertising. Additionally, a new dimension is added to the factors that explain source credibility (reputation). Furthermore, the analysis suggests that the dimension “frequency” is not an explanatory factor of credibility in the case of user-generated advertisement. The study also suggests that companies using user-generated advertisement as part of their overall marketing strategy should focus on objectivity, trustworthiness, expertise, attractiveness and reputation when selecting users that will communicate sponsored user-generated advertisements.
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ABSTRACTINTRODUCTION:Although deaf people are exposed to hepatitis B and C risk factors, epidemiological studies regarding these diseases in deaf people are lacking.METHODS:After watching an explanatory digital versatile disc (DVD) in Brazilian Sign Language, 88 deaf people were interviewed and tested for hepatitis B surface antigen (HBsAg), hepatitis B surface antibody (anti-HBs), hepatitis B core antibody (anti-HBc), and hepatitis C virus antibody (anti-HCV).RESULTS:The prevalence of hepatitis B markers was 8%; they were associated with incarceration and being born outside the State of São Paulo. No cases of hepatitis C were identified.CONCLUSIONS:Participants showed a substantial lack of knowledge regarding viral hepatitis, indicating a need for public policies that consider linguistic and cultural profiles.
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Este estudo tem como objetivo a delineação dos pressupostos epistemológicos subjacentes ao tratamento da definição em terminologia, enquanto atividade e produto, considerando os seguintes aspetos: a entidade a definir, a definição de definição e suas tipologias, métodos e regras de formulação de boas definições, refletindo sobre os seus limites. Começando por nos situar no período clássico, em que surgiram os primeiros questionamentos sobre a definição, avança-se para a análise das teorias terministas integradas no contexto da linguagem da mente. Percorremos, em seguida, uma época em que se deu especial atenção às questões conceptuais e na qual surgiram propostas de linguagens formais que ambicionavam ultrapassar os constrangimentos da língua natural. Não poderíamos seguir este trajeto sem nos fixarmos sobre as teorias referenciais da filosofia e da linguagem, num momento em que as ciências afirmavam o seu estatuto e metodologias. Na contemporaneidade, é estabelecida uma ponte entre os estudos epistemológicos e a terminologia, detendo-nos sobre as problemáticas teóricas e metodológicas subjacentes à formulação de definições.
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Archaeological excavations carried out in the archaeological site of São Pedro (Southern Portugal) revealed a Chalcolithic settlement occupied in different moments of the 3rd millennium BC. The material culture recovered includes different types of materials, such as ceramics, lithics and metals. The later comprises about 30 artefacts with different typologies such as tools (e.g. awls, chisels and a saw) and weapons (e.g. daggers and arrowheads) mostly belonging to the 2nd and 3rd quarter of the 3rd millennium BC. In the present work the collection of chalcolithic metallic artefacts recovered in São Pedro was characterized. Analytical studies involved micro energy dispersive X-ray fluorescence spectrometry (micro-EDXRF) to determine elemental composition, together with optical microscopy and Vickers microhardness testing for microstructural characterisation and hardness determination. Main results show copper with variable amounts of arsenic and very low content of other impurities, such as iron. Moreover, nearly half of the collection is composed by arsenical copper alloys (As > 2 wt.%) and an association was found between arsenic content and typology since the weapons group (mostly daggers) present higher values than tools (mostly awls). These results suggest some criteria in the selection of arsenic-rich copper ores or smelting products. Furthermore, after casting an artefact would have been hammered, annealed and sometimes, finished with a hammering operation. Additionally, microstructural variations in this collection reveal somewhat different operational conditions during casting, annealing and forging, as expected in such a primitive metallurgy. Moreover the operational sequence seems to be used to achieve the required shape to the object, rather than to intentionally make the alloy harder. Overall, this study suggests that Chalcolithic metallurgists might have a poor control of the addition of arsenic and/or were unable to use this element to increase the hardness of tools and weapons. Finally, the compositions, manufacturing processes and hardness were compared to those from neighbouring regions and different chronological periods.
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The way in which electricity networks operate is going through a period of significant change. Renewable generation technologies are having a growing presence and increasing penetrations of generation that are being connected at distribution level. Unfortunately, a renewable energy source is most of the time intermittent and needs to be forecasted. Current trends in Smart grids foresee the accommodation of a variety of distributed generation sources including intermittent renewable sources. It is also expected that smart grids will include demand management resources, widespread communications and control technologies required to use demand response are needed to help the maintenance in supply-demand balance in electricity systems. Consequently, smart household appliances with controllable loads will be likely a common presence in our homes. Thus, new control techniques are requested to manage the loads and achieve all the potential energy present in intermittent energy sources. This thesis is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in house-hold or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach which also involves a power price auction and an appliance loads allocation scheme. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. Thermal Control Areas are overall thermodynamically connected in the distributed environment and also coupled by energy related constraints. The energy split is performed based on a fixed sequential order established from a previous completed auction wherein the bids are made by each Thermal Control Area, acting as demand side management agents, based on the daily energy price. The developed solutions are explained with algorithms and are applied to different scenarios, being the results explanatory of the benefits of the proposed approaches.