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A surface acoustic wave (SAW) sensor array has been developed in order to discriminate Spanish wine coming from different grape varieties and elaboration processes. Sensors were coated with diverse thicknesses of polyepichlorohydrin (PECH), polyetherurethane (PEUT) and polydimethylsiloxane (PDMS). Linear techniques as principal component analysis (PCA) and linear discriminant analysis (LDA) and non-linear ones as probabilistic neural networks (PNN) have been used for pattern recognition. A classification success rate of 86% has been achieved.
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The over-production associated with bureaucratic production is examined in a general equilibrium environment in which the bureau and its sponsor behave strategically. Seemingly minor modifications in institutional settings give major differences in Nash equilibrium outcomes. The non-equivalence of institutional settings suggests that over-production or under-production by bureaus can be a result of the institutions governing the decision process as well as the preferences of the bureau for the size of the bureau.