54 resultados para Deriviative use
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The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.
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Double degree. 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 and Warsaw School of Economics
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Versão online da Revista Brasileira de Estudos Políticos, Belo Horizonte, nº 107, pp. 149-200, jul./dez.2013
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Throughout recent years, there has been an increase in the population size, as well as a fast economic growth, which has led to an increase of the energy demand that comes mainly from fossil fuels. In order to reduce the ecological footprint, governments have implemented sustainable measures and it is expected that by 2035 the energy produced from renewable energy sources, such as wind and solar would be responsible for one-third of the energy produced globally. However, since the energy produced from renewable sources is governed by the availability of the respective primary energy source there is often a mismatch between production and demand, which could be solved by adding flexibility on the demand side through demand response (DR). DR programs influence the end-user electricity usage by changing its cost along the time. Under this scenario the user needs to estimate the energy demand and on-site production in advance to plan its energy demand according to the energy price. This work focuses on the development of an agent-based electrical simulator, capable of: (a) estimating the energy demand and on-site generation with a 1-min time resolution for a 24-h period, (b) calculating the energy price for a given scenario, (c) making suggestions on how to maximize the usage of renewable energy produced on-site and to lower the electricity costs by rescheduling the use of certain appliances. The results show that this simulator allows reducing the energy bill by 11% and almost doubling the use of renewable energy produced on-site.
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We study the determinants of MRI use across Portuguese NHS hospitals for patients belonging to specific DRGs. Using data on individual hospital admissions, we estimate a probit model including individual-, hospital-, time- and region-specific variables in order to explain the probability of a patient being sent for MRI. Results convey a tightening effect on the hospital’s budget constraint in the end of each year. Hospitals seem to account for regional characteristics when defining adoption patterns. Individual-specific variables are good predictors of MRI use. Measures taken by the Government only impact the short run. Finally, the gains from an MRI scan, as far as the probability of death is concerned, occur mainly for less severe patients.
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Contém resumo
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Introdução: A nevirapina (NVP) é um fármaco amplamente utilizado para o tratamento da infecção pelo vírus da imunodeficiência humana de tipo 1 (VIH-1), no entanto, a sua utilização na terapêutica crónica tem sido associada à toxicidade hepática e cutânea. O sexo feminino é um factor de risco para o desenvolvimento destes eventos tóxicos, mas as razões para essa diferença entre o sexo feminino e masculino não estão completamente esclarecidas. Diferenças na biotransformação da NVP e na formação de metabolitos tóxicos podem ser as causas subjacentes. O presente trabalho teve como objectivo explorar as diferenças entre homens e mulheres na biotransformação da NVP, como um potencial factor de toxicidade induzida por este fármaco anti-retroviral. Materiais e Métodos: Todos os indivíduos incluídos no presente estudo eram adultos com infecção por VIH-1 confirmada, tratados com 400 mg de NVP uma vez ao dia, durante pelo menos 1 mês. Foram colhidas amostras de sangue e os níveis de NVP e dos metabolitos de fase I foram determinados por cromatografia líquida de alta performance. Os dados antropométricos e clínicos e os perfis de metabolitos foram avaliados de forma a averiguar possíveis diferenças relacionadas com o sexo dos indivíduos. Resultados: Foram incluídos 52 doentes (63% do sexo masculino). O peso corporal foi inferior nas mulheres (p = 0.028) e o sexo feminino foi associado a maiores níveis de fosfatase alcalina (p = 0.036) e lactato desidrogenase (p = 0.037). Os níveis plasmáticos de NVP (p = 0.030) e 3-hidroxi-NVP (p = 0.035), assim como as proporções de 12-hidroxi-NVP (p = 0.037) e 3-hidroxi-NVP (p = 0.001) foram maiores nas mulheres, quando ajustados pelo peso corporal dos indivíduos. Discussão: Existem diferenças na biotransformação da NVP entre homens e mulheres, particularmente na formação de 12-hidroxi-NVP e 3-hidroxi-NVP. Estes resultados apontam para uma formação de metabolitos reactivos, que é dependente do sexo e que pode contribuir para o perfil de dimorfismo sexual associado às reacções tóxicas induzidas pela NVP.
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This work project analyses the possibility for a company to trade their goods and services for bitcoins, by joining the Bitcoin network. It analyses the technological and business requirements to join the Bitcoin Network by looking at Bitcoin’s potential to act as a mean of exchange for trade, unit of account and store of value. The analysis points to the motives, benefits and risks for investors to use the Bitcoin as a traditional currency and recommends on strategies for addressing those risks and maximizing benefits. Other than companies this report, to a lesser extent, will also analyse the Bitcoin from an investor’s point of view, this is, should an investor buy bitcoins for trade and make savings on a regular and everyday basis? A major finding in this work project is that companies could start using the Bitcoin system as a legit form of payment since the benefits of using this technology outweigh the costs and risks, given the right approach. This form of payment will contribute for the upgrade of a company’s business’ image, attract a new pool of consumers and businesses that already trade in bitcoins and pressure existing financial institutions and electronic payment vendors to upgrade their service levels.