The False cognates in enology and gastronomy: a study in english and spanish

This paper will focus on some aspects of translation based on blending distinct linguistic domains such as the vocabulary of Hotel Industry, of Enology and Gastronomy in Spanish by tertiary level students (2nd year) of the course of Hotel Management. Portuguese students, most of the times, rely on a L1 (Portuguese) general language, namely using false cognates in the above mentioned areas in the Spanish and English classes in, at a first sight helpful but misleading way, hoping to succeed by using the word that seems correct to the context, when there isn’t, because: •they choose a word suitable to the context in L2, but the choice of that word is often misleading, by relying in a false L1 reality that is going to adulterate reality in the L2 domain, •but it seems that the opposite is also true, and takes place too; The difficulty in making such type of distinctions is due to: •the lack of linguistic and lexical knowledge; • the need to study the cause of these chromaticisms, by: • being in touch with specific literature; . working, not only with their peers, but also with their language teacher to develop strategies to diminish and, if possible, to eradicate this type of linguistic and, mainly translation problem, that causes so many learning constraints.

A long-term swarm intelligence hedging tool applied to electricity markets

This paper proposes a swarm intelligence long-term hedging tool to support electricity producers in competitive electricity markets. This tool investigates the long-term hedging opportunities available to electric power producers through the use of contracts with physical (spot and forward) and financial (options) settlement. To find the optimal portfolio the producer risk preference is stated by a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance estimation and the expected return are based on a forecasted scenario interval determined by a long-term price range forecast model, developed by the authors, whose explanation is outside the scope of this paper. The proposed tool makes use of Particle Swarm Optimization (PSO) and its performance has been evaluated by comparing it with a Genetic Algorithm (GA) based approach. To validate the risk management tool a case study, using real price historical data for mainland Spanish market, is presented to demonstrate the effectiveness of the proposed methodology.

European Union emissions trading scheme impact on the Spanish electricity price during phase II and phase III implementation

The European Union Emissions Trading Scheme (EU ETS) is a cornerstone of the European Union's policy to combat climate change and its key tool for reducing industrial greenhouse gas emissions cost-effectively. The purpose of the present work is to evaluate the influence of CO2 opportunity cost on the Spanish wholesale electricity price. Our sample includes all Phase II of the EU ETS and the first year of Phase III implementation, from January 2008 to December 2013. A vector error correction model (VECM) is applied to estimate not only long-run equilibrium relations, but also short-run interactions between the electricity price and the fuel (natural gas and coal) and carbon prices. The four commodities prices are modeled as joint endogenous variables with air temperature and renewable energy as exogenous variables. We found a long-run relationship (cointegration) between electricity price, carbon price, and fuel prices. By estimating the dynamic pass-through of carbon price into electricity price for different periods of our sample, it is possible to observe the weakening of the link between carbon and electricity prices as a result from the collapse on CO2 prices, therefore compromising the efficacy of the system to reach proposed environmental goals. This conclusion is in line with the need to shape new policies within the framework of the EU ETS that prevent excessive low prices for carbon over extended periods of time.