A mandibulectomia marginal no tratamento dos tumores de loja amigdalina e região retromolar

A ressecção do ramo ascendente da mandíbula ocasiona um déficit funcional e estético considerável. OBJETIVO: Comparar a mandibulectomia marginal e segmentar de tumores avançados de loja amigdalina e região retromolar sem envolvimento ósseo mandibular detectado no período pré-operatório, em relação à sobrevida e recidiva loco-regional. Forma de Estudo: Estudo de coorte contemporânea com corte transversal. MATERIAL E MÉTODO: Compararam-se 20 pacientes tratados com mandibulectomia marginal e 22 tratados com mandibulectomia segmentar de outubro de 1994 a dezembro de 2001 em serviço de referência em Cirurgia de Cabeça e Pescoço. RESULTADOS: Dos 20 pacientes tratados com mandibulectomia marginal, 35% morreram com doença, 15% por recidiva local, 15% por recidiva regional e 5% por recidiva loco-regional. Dos 22 pacientes tratados com mandibulectomia segmentar 45,4% morreram pela doença, sendo 31,8% por recidiva local e 13,6% por recidiva à distância. Na análise pelo método de Kaplan-Meier o grupo tratado com mandibulectomia marginal apresentou uma taxa de 55%, e o grupo tratado com ressecção segmentar 45% com p= 0,8329. CONCLUSÕES: A análise dos dois grupos evidenciou que a conservação do ramo ascendente da mandíbula, mesmo em lesões avançadas, sem envolvimento mandibular, não aumenta o índice de recidiva.

EU Commission participation in the Troika mission: is there a European Union price to pay?

The article is intended to debate two questions regarding the involvement of the Commission in the Troika's action: firstly, considering the nature of financial assistance programs, it aims to discuss the effect of the Commission's participation in Troika negotiations on the balance of power of the EU institutions; and secondly, the article raises the issue of the Commission's liability for the results achieved by the financial assistance program, taking into account the extent of the conditions imposed, as well as the intensity of scrutiny by the Troika.

Antecedents of the importance of price in purchase decisions

This paper analyses the commercial and socio-demographic antecedents of the importance of price in buyers' decisions. The study uses ordinal regression in order to analyze the data obtained from a random sample of consumers of frequently purchased products; these consumers were surveyed in different stores. The results demonstrate that shopping enjoyment and brand loyalty have an influence over the importance of price. However, responsibility for shopping (purchase frequency) does not show a significant relationship. Furthermore, some interesting socio-demographic characteristics were found in the context of the study that can be analyzed in future research.

Influence of discount price announcements on consumer's behavior

The theoretical framework that underpins this research study is based on the Prospect Theory formulated by Kahneman and Tversky, and Thaler's Mental Accounting Theory. The research aims to evaluate the consumers' behavior when different patterns of discount are offered (in percentage and absolute value and for larger and smaller discounts). Two experiments were conducted to explore these patterns of behavior and the results that were obtained supported the view that the framing effect was a common occurrence. The patterns of choice of individuals in a sample were found to be different due to changes in the ways discounts were offered. This can be explained by the various ways of presenting discount rates that had an impact on the influence of purchase intentions, recommendations and quality perception.

Macrófitas aquáticas de um lago marginal ao rio Embu-mirim, São Paulo, Brasil

Durante os anos de 1984/1985 obtiveram-se amostras sazonais para determinação de parâmetros físicos, químicos e biológicos de um lago marginal ao rio Embu-mirim, em Itapecerica da Serra, na bacia do reservatório de Guarapiranga (São Paulo, Brasil). Além de discutir os resultados obtidos quanto à flora de macrófitas aquáticas e suas relações com os outros parâmetros ambientais, são também analisados os efeitos da variação sazonal. As espécies encontradas estão presentes em diversos corpos d'água marginais, bem como ao longo do rio Embu-mirim, permitindo avaliar seu comportamento em corpos d'água semelhantes, da mesma bacia. A macrófita predominante foi Eichhornia crassipes (Mart.) Solms. Os resultados obtidos demostram a tendência de uma eutrofização acelerada e o risco de macrófitas potencialmente problemáticas, como E. crassipes e Salvinia auriculata, formarem camalotes de altas densidades, que podem chegar ao reservatório de Guarapiranga, através do rio Embu-mirim, causando problemas aos diversos usos da água.

A congestion management and transmission price simulator for competitive electricity markets

In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

Long-term price range forecast applied to risk management using regression models

Long-term contractual decisions are the basis of an efficient risk management. However those types of decisions have to be supported with a robust price forecast methodology. This paper reports a different approach for long-term price forecast which tries to give answers to that need. Making use of regression models, the proposed methodology has as main objective to find the maximum and a minimum Market Clearing Price (MCP) for a specific programming period, and with a desired confidence level α. Due to the problem complexity, the meta-heuristic Particle Swarm Optimization (PSO) was used to find the best regression parameters and the results compared with the obtained by using a Genetic Algorithm (GA). To validate these models, results from realistic data are presented and discussed in detail.

Transmission price simulator in a liberalized electricity market

This paper presents a software tool (SIM_CMTP) that solves congestion situations and evaluates the taxes to be paid to the transmission system by market agents. SIM_CMTP provides users with a set of alternative methods for cost allocation and enables the definition of specific rules, according to each market and/or situation needs. With these characteristics, SIM_CMTP can be used as an operation aid for Transmission System Operator (TSO) or Independent System Operator (ISO). Due to its openness, it can also be used as a decision-making support tool for evaluating different options of market rules in competitive market environment, guarantying the economic sustainability of the transmission system.

Estratégias de comercialização de energia elétrica em mercados liberalizados

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

Power Producers Trading Electricity in Both Pool and Forward Markets

The electricity industry throughout the world, which has long been dominated by vertically integrated utilities, has experienced major changes. Deregulation, unbundling, wholesale and retail wheeling, and real-time pricing were abstract concepts a few years ago. Today market forces drive the price of electricity and reduce the net cost through increased competition. As power markets continue to evolve, there is a growing need for advanced modeling approaches. This article addresses the challenge of maximizing the profit (or return) of power producers through the optimization of their share of customers. Power producers have fixed production marginal costs and decide the quantity of energy to sell in both day-ahead markets and a set of target clients, by negotiating bilateral contracts involving a three-rate tariff. Producers sell energy by considering the prices of a reference week and five different types of clients with specific load profiles. They analyze several tariffs and determine the best share of customers, i.e., the share that maximizes profit. © 2014 IEEE.

Impact of a price-maker pumped storage hydro unit on the integration of wind energy in power systems

The increasing integration of larger amounts of wind energy into power systems raises important operational issues, such as the balance between power generation and demand. The pumped storage hydro (PSH) units are one possible solution to mitigate this problem, once they can store the excess of energy in the periods of higher generation and lower demand. However, the behaviour of a PSH unit may differ considerably from the expected in terms of wind power integration when it operates in a liberalized electricity market under a price-maker context. In this regard, this paper models and computes the optimal PSH weekly scheduling in a price-taker and price-maker scenarios, either when the PSH unit operates in standalone and integrated in a portfolio of other generation assets. Results show that the price-maker standalone PSH will integrate less wind power in comparison with the price-taker situation. Moreover, when the PSH unit is integrated in a portfolio with a base load power plant, the role of the price elasticity of demand may completely change the operational profile of the PSH unit. (C) 2014 Elsevier Ltd. All rights reserved.

Power producers trading electricity in both pool and forward markets

The electricity industry throughout the world, which has long been dominated by vertically integrated utilities, has experienced major changes. Deregulation, unbundling, wholesale and retail wheeling, and real-time pricing were abstract concepts a few years ago. Today market forces drive the price of electricity and reduce the net cost through increased competition. As power markets continue to evolve, there is a growing need for advanced modeling approaches. This article addresses the challenge of maximizing the profit (or return) of power producers through the optimization of their share of customers. Power producers have fixed production marginal costs and decide the quantity of energy to sell in both day-ahead markets and a set of target clients, by negotiating bilateral contracts involving a three-rate tariff. Producers sell energy by considering the prices of a reference week and five different types of clients with specific load profiles. They analyze several tariffs and determine the best share of customers, i.e., the share that maximizes profit. © 2014 IEEE.

Strategies for price reduction of HIV medicines under a monopoly situation in Brazil

ABSTRACT OBJECTIVE To analyze Government strategies for reducing prices of antiretroviral medicines for HIV in Brazil. METHODS Analysis of Ministry of Health purchases of antiretroviral medicines, from 2005 to 2013. Expenditures and costs of the treatment per year were analyzed and compared to international prices of atazanavir. Price reductions were estimated based on the terms of a voluntary license of patent rights and technology transfer in the Partnership for Productive Development Agreement for atazanavir. RESULTS Atazanavir, a patented medicine, represented a significant share of the expenditures on antiretrovirals purchased from the private sector. Prices in Brazil were higher than international references, and no evidence was found of a relationship between purchase volume and price paid by the Ministry of Health. Concerning the latest strategy to reduce prices, involving local production of the 200 mg capsule, the price reduction was greater than the estimated reduction. As for the 300 mg capsule, the amounts paid in the first two years after the Partnership for Productive Development Agreement were close to the estimated values. Prices in nominal values for both dosage forms remained virtually constant between 2011 (the signature of the Partnership for Productive Development Agreement), 2012 and 2013 (after the establishment of the Partnership). CONCLUSIONS Price reduction of medicines is complex in limited-competition environments. The use of a Partnership for Productive Development Agreement as a strategy to increase the capacity of local production and to reduce prices raises issues regarding its effectiveness in reducing prices and to overcome patent barriers. Investments in research and development that can stimulate technological accumulation should be considered by the Government to strengthen its bargaining power to negotiate medicines prices under a monopoly situation.

Maximum-revenue tariff with different roles in a price-setting competition

Published also at Lecture Notes in Engineering and Computer Science

Price forecasting in the day-ahead Iberian electricity market using a conjectural variations Arima model

Price forecast is a matter of concern for all participants in electricity markets, from suppliers to consumers through policy makers, which are interested in the accurate forecast of day-ahead electricity prices either for better decisions making or for an improved evaluation of the effectiveness of market rules and structure. This paper describes a methodology to forecast market prices in an electricity market using an ARIMA model applied to the conjectural variations of the firms acting in an electricity market. This methodology is applied to the Iberian electricity market to forecast market prices in the 24 hours of a working day. The methodology was then compared with two other methodologies, one called naive and the other a direct forecast of market prices using also an ARIMA model. Results show that the conjectural variations price forecast performs better than the naive and that it performs slightly better than the direct price forecast.