976 resultados para price-level targeting
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Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.
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Companies are increasingly more and more dependent on distributed web-based software systems to support their businesses. This increases the need to maintain and extend software systems with up-to-date new features. Thus, the development process to introduce new features usually needs to be swift and agile, and the supporting software evolution process needs to be safe, fast, and efficient. However, this is usually a difficult and challenging task for a developer due to the lack of support offered by programming environments, frameworks, and database management systems. Changes needed at the code level, database model, and the actual data contained in the database must be planned and developed together and executed in a synchronized way. Even under a careful development discipline, the impact of changing an application data model is hard to predict. The lifetime of an application comprises changes and updates designed and tested using data, which is usually far from the real, production, data. So, coding DDL and DML SQL scripts to update database schema and data, is the usual (and hard) approach taken by developers. Such manual approach is error prone and disconnected from the real data in production, because developers may not know the exact impact of their changes. This work aims to improve the maintenance process in the context of Agile Platform by Outsystems. Our goal is to design and implement new data-model evolution features that ensure a safe support for change and a sound migration process. Our solution includes impact analysis mechanisms targeting the data model and the data itself. This provides, to developers, a safe, simple, and guided evolution process.
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INTRODUCTION: Human pappilomavirus is one of the most common sexually transmitted diseases, and persistent HPV infection is considered the most important cause of cervical cancer. It is detected in more than 98% of this type of cancer. This study aimed to determine the level of knowledge concerning human papillomavirus among nursing college students of a private educational institution located in the City of Bauru, SP, and correlate their knowledge according to the course year. METHODS: A descriptive study with a quantitative approach, performed with a questionnaire that permitted the quantification of data and opinions, thus guaranteeing the precision of the results without distortions in analysis or interpretation. The survey was applied to randomly selected 1st, 2nd, 3rd, and 4th-year nursing college students. Twenty students from each level were selected during August 2009, totaling 80 students of both genders. RESULTS: Observation revealed that 4th-year students had greater knowledge than 1st-year students, reflecting the greater period of study, the lack of knowledge of 1st-year students was due to the low level of information acquired before entering college. CONCLUSIONS: The need for complementary studies which determine the profile and knowledge of a larger number of teenagers in relation to HPV was established. The need for educational programs that can overcome this lack of information is undeniable, especially those aimed at making adolescents less susceptible to HPV and other STDs.
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RESUMO - A (não) adesão à terapêutica é um problema mundial que, para além de afetar diretamente a saúde dos indivíduos, afeta também os recursos económicos e sociais. Apesar da importância em aderir à terapêutica, largamente fundamentada na evidência científica, facto é que, em muitos casos, os doentes não o fazem. Assim, estudar as questões relacionadas com a adesão tem vindo a ganhar cada vez mais relevância e atualmente constitui um desafio para os sistemas de saúde, pois os mecanismos envolvidos no comportamento de adesão dos indivíduos são complexos. Deste modo, com este estudo pretendeu-se caracterizar uma amostra de indivíduos com diabetes mellitus tipo 2 e relacionar o seu nível de adesão à terapêutica medicamentosa com os fatores de não adesão. Este estudo foi desenvolvido no Agrupamento de Centros de Saúde (ACES) Almada e Seixal e nele participaram 151 diabéticos tipo 2. Para a recolha de dados utilizou-se o Questionário de Identificação de Fatores de Não Adesão adaptado de Cabral e Silva (2010) e a Medida de Adesão aos Tratamentos de Delgado e Lima (2001). Os resultados mostraram um perfil de participantes maioritariamente idosos, reformados, do género feminino, casados, com o ensino primário completo, rendimento mensal entre 301-1000 euros e tendencialmente aderentes à terapêutica medicamentosa. O (i) esquecimento, o (ii) preço da medicação, o (iii) número elevado de medicamentos para tomar de uma vez só, não perceber bem o que deve tomar e como e (v) adormecer antes da toma foram os fatores de não adesão relatados com mais frequência. Foram encontradas relações significativas entre o nível de adesão e o esquecimento, o preço da medicação o número elevado de medicamentos para tomar de uma vez só e adormecer antes da toma. Não encontrámos relações significativas entre o nível de adesão e os dados sociodemográficos, os fatores terapêuticos e o fator de não adesão “não perceber bem o que deve tomar e como”. No presente estudo são discutidos os resultados obtidos, consideradas algumas limitações e efetuadas propostas de investigações futuras.
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Double Degree. A Work Project presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA- School of Business and Economics and a Masters Degree in Business Engineering from Louvain school of Management
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The prolonged wait times may arguably put into question the Canadian Health Act of 1984. Statistics show throughput wait times are 5.5 hours and output wait times for admitted patients are 32.4 hours. After probing and analyzing best practices through a qualitative/quantitative Value Stream Mapping and a qualitative SWOT Analysis; Team Triage and an Overcapacity Protocol is suggested to improve non-admitted patients wait times by 1.89 hours and admitted patients wait times by 16 hours by eliminating wasteful steps in the patient process and upon overcapacity, effectively sharing already stabilized and admitted patients with all wards in the hospital.
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INTRODUCTION: This study describes the uses of a control chart in the malaria surveillance at the local level, signaling whether there is a need to intensify or adapt control measures. METHODS: The districts of Cruzeiro do Sul (n=14), State of Acre, Brazil, were classified into three groups: I) those with an incidence lower than expected; II) those with an incidence within the expected range; and III) those with an epidemic. RESULTS: Thirteen of the fourteen districts had outbreaks of malaria at some point in 2010, and six districts showed persistent malaria epidemic throughout the year. CONCLUSIONS: The control chart may help the malaria control at the local level.
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Following the Introduction, which surveys existing literature on the technology advances and regulation in telecommunications and on two-sided markets, we address specific issues on the industries of the New Economy, featured by the existence of network effects. We seek to explore how each one of these industries work, identify potential market failures and find new solutions at the economic regulation level promoting social welfare. In Chapter 1 we analyze a regulatory issue on access prices and investments in the telecommunications market. The existing literature on access prices and investment has pointed out that networks underinvest under a regime of mandatory access provision with a fixed access price per end-user. We propose a new access pricing rule, the indexation approach, i.e., the access price, per end-user, that network i pays to network j is function of the investment levels set by both networks. We show that the indexation can enhance economic efficiency beyond what is achieved with a fixed access price. In particular, access price indexation can simultaneously induce lower retail prices and higher investment and social welfare as compared to a fixed access pricing or a regulatory holidays regime. Furthermore, we provide sufficient conditions under which the indexation can implement the socially optimal investment or the Ramsey solution, which would be impossible to obtain under fixed access pricing. Our results contradict the notion that investment efficiency must be sacrificed for gains in pricing efficiency. In Chapter 2 we investigate the effect of regulations that limit advertising airtime on advertising quality and on social welfare. We show, first, that advertising time regulation may reduce the average quality of advertising broadcast on TV networks. Second, an advertising cap may reduce media platforms and firms' profits, while the net effect on viewers (subscribers) welfare is ambiguous because the ad quality reduction resulting from a regulatory cap o¤sets the subscribers direct gain from watching fewer ads. We find that if subscribers are sufficiently sensitive to ad quality, i.e., the ad quality reduction outweighs the direct effect of the cap, a cap may reduce social welfare. The welfare results suggest that a regulatory authority that is trying to increase welfare via regulation of the volume of advertising on TV might necessitate to also regulate advertising quality or, if regulating quality proves impractical, take the effect of advertising quality into consideration. 3 In Chapter 3 we investigate the rules that govern Electronic Payment Networks (EPNs). In EPNs the No-Surcharge Rule (NSR) requires that merchants charge at most the same amount for a payment card transaction as for cash. In this chapter, we analyze a three- party model (consumers, merchants, and a proprietary EPN) with endogenous transaction volumes and heterogenous merchants' transactional benefits of accepting cards to assess the welfare impacts of the NSR. We show that, if merchants are local monopolists and the network externalities from merchants to cardholders are sufficiently strong, with the exception of the EPN, all agents will be worse o¤ with the NSR, and therefore the NSR is socially undesirable. The positive role of the NSR in terms of improvement of retail price efficiency for cardholders is also highlighted.
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This paper studies the existing price linkage between generics and branded pharmaceuticals, in which the generic price must be a fraction of the latter. Using a vertical differentiation model, we look at the market equilibrium, the effects on the incentives for the brand producer to develop new products, and the possibility of predation by the brand producer over the generic firm. We find that the price linkage increases prices compared to no indexation and it may increase the incentives for the brand producer to expand its set of products. When prices are freely set, the branded firm may also want to expand a new product with a higher quality, but will prefer to remove the original one from the market. Predation may equally occur in both schemes but the price linkage may give fewer incentives for the branded firm to predate while compensating losses with a new drug.
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INTRODUCTION : In this study, clinical-laboratory and epidemiological characteristics are described for a group of 700 individuals with HIV (human immunodeficiency virus)/AIDS (acquired immunodeficiency syndrome) in the ART (antiretroviral therapy) era at a teaching hospital that provides a quaternary level of care, with an emphasis on opportunistic infections (OIs), co-infections and immune profile. METHODS : A retrospective cross-sectional study of AIDS cases was conducted from 1998 to 2008 by reviewing medical records from the Base Hospital/FUNFARME (Fundação Faculdade Regional de Medicina), São José do Rio Preto, São Paulo, Brazil. RESULTS: The individuals were 14 to 75 years of age, and 458 were males. Heterosexuals accounted for 31.1% of all patients. Eighty-three percent were on ART, and 33.8% of those presented difficulties with treatment adherence. OIs were analyzed from medical records, and Pneumocystis jiroveci pneumonia was the most prevalent, regardless of the LTCD4+ (TCD4+ Lymphocytes) levels. Individuals whose viral loads were ≥10,000 showed a 90% greater chance of neurotoxoplasmosis. For P. jiroveci pneumonia, neurotoxoplasmosis, esophageal candidiasis, pulmonary tuberculosis and neurocryptococcosis, the chances of infection were higher among patients with LTCD4+ levels below 200 cells/mm3. HIV/hepatitis C virus (HCV) and HIV/hepatitis B virus (HBV) co-infections were significantly associated with death. CONCLUSIONS : OIs remain frequent in the ART era even in populations where the access to medical care is considered satisfactory.
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Cardiovascular diseases (CVDs) are one of the leading causes of death and disability worldwide and one of its underlying causes is hypercholesterolemia. Hypercholesterolemia can have genetic (familial hypercholesterolemia, FH) and non-genetic causes (clinical hypercholesterolemia, CH), the first much more severe, with occurrence of premature atherosclerosis. While the pathophysiological role of homocysteine (Hcy) on CVD is still controversial, molecular targeting of protein by S and N-homocysteinylation offers a new paradigm to be considered in the vascular pathogenesis of hypercholesterolemia. On this regard, the present study aims to give new insights on protein targeting by Hcy in both CH and FH conditions. A total of 187 subjects were included: 65 normolipidemic and 122 hypercholesterolemic. Total (tHcy) and free (fHcy) fractions were quantified in serum samples after validation of an HPLCFD method, to assess S-homocysteinylation. Also, the lactonase (LACase) activity of paraoxonase-1 (PON1) was quantified by a colorimetric assay, as a surrogate of N-homocysteinylation. tHcy does not differ among groups. Nevertheless, fHcy declines in the hypercholesterolemic groups, with more evidence to the FH population. Consequently, there seems to be an increase of Shomocysteinylation, regardless of lipid lowering therapy (LLT). Also, despite of LLT use, LACase activity is lower in FH, thus the risk for protein N-homocysteinylation seems to be higher. Moreover, the decrease in LACase/ApoA1 and LACase/HDL ratios in FH, shows that HDL is dysfunctional in this population, despite its normal concentration values. Data supports that the pathophysiological role of Hcy on hypercholesterolemia may reside in its ability to post-translationally modify proteins. This role is particularly evident in FH condition. In the future, it will be interesting to identify which target proteins are modified and thus involved in vascular pathology progression.
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RESUMO - Introdução: A diabetes mellitus e a hipertensão arterial são problemas de saúde de elevada prevalência em Portugal. A sua distribuição geográfica e social é pouco conhecida, comprometendo o desenho e implementação de políticas de saúde. Assim, este estudo teve como objetivo avaliar a existência das desigualdades socioeconómicas na prevalência de diabetes mellitus tipo 2 e de hipertensão arterial, na população residente na região Norte de Portugal, no ano de 2013. Métodos: Foi realizado um estudo ecológico que analisou as 2028 freguesias da região Norte. Os dados foram obtidos através do Sistema de Informação das Administrações Regionais de Saúde e do Censos 2011. A associação entre os indicadores socioeconómicos e a prevalência destas doenças foi medida através da diferença de prevalências, do risco atribuível populacional, do índice relativo de desigualdades e pelo coeficiente de regressão. Resultados: A prevalência de diabetes mellitus tipo 2 e hipertensão arterial foi de 6,16% e 19,35%, respetivamente, e apresentou uma distribuição heterogénea entre freguesias (variando entre 0%-23,7% para a diabetes e 2,8%-66,7% para a hipertensão). A prevalência de ambas as doenças estava significativamente associada com o baixo nível educacional, baixa atividade em sector terciário, desemprego e baixo rendimento (com diferença de prevalências entre decis opostos de até 1,3% na diabetes e até 5,3% na hipertensão). Os determinantes socioeconómicos foram responsáveis até 20% da prevalência destas doenças na população. Conclusão: Estes resultados demonstram a existência de uma distribuição socioeconómica e geográfica heterogéneas e a necessidade de criação de políticas de saúde que atuem nas freguesias menos favorecidas.
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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.
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This paper studies how shocks in the prices of Food, Energy and Financial Assets affect private consumption using a VAR Model. Then, the total effects are broken into direct and indirect effects, using the coefficients taken from the previous model. We use quarterly data for the Portuguese economy from the last 20 years. We found that energy prices and financial assets have a strong connection with consumption, suggesting that the economy may be too exposed to shocks in these markets.