2,602 research outputs found

    A Cointegration Analysis of the Long-Run Supply Response of Spanish Agriculture to the Common Agricultural Policy

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    Using cointegration techniques, we estimate two models that capture the long-term relationship between Spanish prices and agricultural production. The models were estimated over Spanish agricultural data from 1970 to 2000, a period spanning Spain’s implementation of the Common Agricultural Policy in 1986 and the application of the MacSharry Reforms in 1992. The models, as well asplausible counterfactual scenarios constructed to assess the production changes induced by the CAP, lead to three principal results. First, we find that Spanish agricultural output is responsive to agricultural prices. Second, we find that the MacSharry reforms have been instrumental in restraining agricultural production. Third, we find that Spanish agricultural output would have been higher if Spain had not applied the CAP. These results are important and have broad implications. First, they strengthen the position of those reformers both within and outside of Europe that argue for lower price supports as an appropriate policy for stemming European agricultural surpluses. Second, they indicate that recent EU reforms, which have in effect extended the MacSharry reforms, are appropriate measures for curbing European agricultural surpluses

    Feature Selection and Improving Classification Performance for Malware Detection

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    The ubiquitous advance of technology has been conducive to the proliferation of cyber threats, resulting in attacks that have grown exponentially. Consequently, researchers have developed models based on machine learning algorithms for detecting malware. However, these methods require significant amount of extracted features for correct malware classification, making that feature extraction, training, and testing take significant time; even more, it has been unexplored which are the most important features for accomplish the correct classification. In this Thesis, it is created and analyzed a dataset of malware and clean files (goodware) from the static and dynamic features provided by the online framework VirusTotal. The purpose was to select the smallest number of features that keep the classification accuracy as high as the state of the art researches. Selecting the most representative features for malware detection relies on the possibility reducing the training time, given that it increases in O(n2) with respect to the number of features, and creating an embedded program that monitors processes executed by the OS. Thus, feature selection was made taking the most important features. In addition, classification algorithms such as Random Forest, Support Vector Machine and Neural Networks were used in a novel combination that not only showed an increase in accuracy, but also in the training speed from hours to just minutes. Next, the model was tested on one additional dataset of unseen malware files. Results showed that “9” features were enough to distinguish malware from goodware files within an accuracy of 99.60%

    Γ-convergence Approximation of Fracture and Cavitation in Nonlinear Elasticity

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    The final publication is available at Springer via http://dx.doi.org/10.1007/s00205-014-0820-3Our starting point is a variational model in nonlinear elasticity that allows for cavitation and fracture that was introduced by Henao and Mora-Corral (Arch Rational Mech Anal 197:619–655, 2010). The total energy to minimize is the sum of the elastic energy plus the energy produced by crack and surface formation. It is a free discontinuity problem, since the crack set and the set of new surface are unknowns of the problem. The expression of the functional involves a volume integral and two surface integrals, and this fact makes the problem numerically intractable. In this paper we propose an approximation (in the sense of Γ-convergence) by functionals involving only volume integrals, which makes a numerical approximation by finite elements feasible. This approximation has some similarities to the Modica–Mortola approximation of the perimeter and the Ambrosio–Tortorelli approximation of the Mumford–Shah functional, but with the added difficulties typical of nonlinear elasticity, in which the deformation is assumed to be one-to-one and orientation-preservingD. Henao gratefully acknowledges the Chilean Ministry of Education’s support through the FONDE-CYT Iniciación project no. 11110011. C. Mora-Corral has been supported by Project MTM2011-28198 of the Spanish Ministry of Economy and Competitivity, the ERC Starting grant no. 307179, the “Ramón y Cajal” programme and the European Social Fund. X. Xu acknowledges the funding by NSFC 1100126

    Comparison of computation methods for CBM production performance

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    Coalbed methane (CBM) reservoirs have become a very important natural resource around the world. Because of their complexity, calculating original gas in place and analyzing production performance require consideration of special features. Coalbed methane production is somewhat complicated and has led to numerous methods of approximating production performance. Many CBM reservoirs go through a dewatering period before significant gas production occurs. With dewatering, desorption of gas in the matrix, and molecular diffusion within the matrix, the production process can be difficult to model. Several authors have presented different approaches involving the complex features related to adsorption and diffusion to describe the production performance for coalbed methane wells. Various programs are now commercially available to model production performance for CBM wells, including reservoir simulation, semi-analytic, and empirical approaches. Programs differ in their input data, description of the physical problem, and calculation techniques. This study will compare different tools available in the gas industry for CBM reservoir analysis, such as numerical reservoir simulators and semi-analytical software programs, to understand the differences in production performance when standard input data is used. Also, this study will analyze how sorption time (for modeling the diffusion process) influences the gas production performance for CBM wells

    Productivity and preferences by forage of dairy cows grazing an intensive silvopastoral system from high Andean area of Roncesvalles, Tolima

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    P?ginas 29-35Recurso Electr?nicoSe evalu? la productividad de vacas lecheras y la preferencia de forraje en un sistema silvopastoril (SSP) de sauco (Sambucus nigra) asociado con pasto kikuyo (Pennisetum clandestinum) en una ?rea alto andina del Tolima. Se confirm? una buena interacci?n de las especies en el SSP, bajo las condiciones clim?ticas de la zona, pues mostraron caracter?sticas productivas similares a otras zonas, reportadas en art?culos cient?ficos. Las vacas prefirieron la gram?nea respecto al sauco, pero la producci?n de leche mostr? diferencias significativas entre tratamientos, revelando efectos ben?ficos del SSP sobre la producci?n de la leche.ABSTRACT. Productivity of dairy cows and preferences by forage were evaluated in a silvopastoral system (SSP) of elderberry (Sambucus nigra) with kikuyu (Pennisetum clandestinum)in a high Andean area from Tolima. Results confirm a good interaction between these species in SSP, under specific climate conditions of the area, because the SSP showed productive characteristics similar to other areas, reported in scientific papers. Cows preferred intake grasses rather than elderberry forage, but milk production was better in SSP than Control, suggesting benefic effects of SSP on milk production

    In vitro activation of NAD-dependent alcohol dehydrogenases by Nudix hydrolases is more widespread than assumed

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    AbstractIn the Gram-positive methylotroph Bacillus methanolicus, methanol oxidation is catalyzed by an NAD-dependent methanol dehydrogenase (Mdh) that belongs to the type III alcohol dehydrogenase (Adh) family. It was previously shown that the in vitro activity of B. methanolicus Mdh is increased by the endogenous activator protein Act, a Nudix hydrolase. Here we show that this feature is not unique, but more widespread among type III Adhs in combination with Act or other Act-like Nudix hydrolases. In addition, we studied the effect of site directed mutations in the predicted active site of Mdh and two other type III Adhs with regard to activity and activation by Act
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