Javier Perez

El programa Next Generation EU: características y claves para su éxito

ICE, Revista de Economía, 2022

El programa Next Generation EU potenciará el crecimiento potencial, contribuirá a reducir las bre... more El programa Next Generation EU potenciará el crecimiento potencial, contribuirá a reducir las brechas entre economías y ayudará a mitigar, temporalmente, dos carencias del encaje institucional europeo (falta de elementos fiscales estabilizadores supranacionales y escasez de activos seguros). No obstante, su efecto final es incierto, y dependerá, crucialmente, de la capacidad de asignar e implementar de manera transparente y eficiente los proyectos.

Download

Effects of wastewater from olive processing on seed germination and early plant growth of different vegetable species

Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes, 1986

... &amp;quot;OJ [ t^OD 5-L σ» [ u&amp;gt; 73 &amp;#x27; (U in n. ω J0 ιπιΟ &amp... more ... &amp;quot;OJ [ t^OD 5-L σ» [ u&amp;gt; 73 &amp;#x27; (U in n. ω J0 ιπιΟ &amp;quot; S 00 ω ^ 3 emu 00 ... Inquinamento, 10: 1-7. DeliaMonica, Μ., Potenz, D., Righetti, E. e Volpicella, M., 1979. Inquinamento, 11: 1-4. ... Nature, 213: 598-599. Torres Martín, M., Zamora Alonso, MA y Esteban Velasco, Ε., 1980. An. Edaf. ...

A modular neural network approach to fault diagnosis

IEEE Transactions on Neural Networks, 1996

Certain real-world applications present serious challenges to conventional neural-network design ... more Certain real-world applications present serious challenges to conventional neural-network design procedures. Blindly trying to train huge networks may lead to unsatisfactory results and wrong conclusions about the type of problems that can be tackled using that technology. In this paper a modular solution to power systems alarm handling and fault diagnosis is described that overcomes the limitations of &quot;toy&quot; alternatives constrained to small and fixed-topology electrical networks. In contrast to monolithic diagnosis systems, the neural-network-based approach presented here accomplishes the scalability and dynamic adaptability requirements of the application. Mapping the power grid onto a set of interconnected modules that model the functional behavior of electrical equipment provides the flexibility and speed demanded by the problem. After a preliminary generation of candidate fault locations, competition among hypotheses results in a fully justified diagnosis that may include simultaneous faults. The way in which the neural system is conceived allows for a natural parallel implementation.

Prediction of Digestibility of Nutrients and Energy Values of Pig Diets from Chemical Analysis

The DE and ME values and digestible nutrient contents of 114 diets were measured in 45-kg growing... more The DE and ME values and digestible nutrient contents of 114 diets were measured in 45-kg growing pigs (four to five animals per diet) fed approximately 500 kcal of ME/kg BW.60. Diets differed widely with regard to their chemical characteristics and their ingredients. Chemical composition of each diet was measured by at least four laboratories. The results were used to establish prediction equations of DE or ME values, digestible nutrient contents, and digestibility coefficients of energy and nutrients from chemical characteristics. Digestibility coefficients of energy (range: 65 to 95%) and CP (range: 64 to 94%) were highly dependent on dietary fiber and mineral contents. The digestibility coefficient of ether extract increased curvilinearly (from 2 to 84%) with the dietary fat content. The digestibility of fiber was lower (45% for NDF) than for the other chemical constituents. The ME:DE ratio averaged 96.3% and was negatively correlated to the dietary protein content. The DE and ME values could be accurately predicted (R2 &gt; .90 and CV &lt; 2%) from chemical characteristics; the best equations were obtained when the following predictors were combined in a linear model: ash, ether extract, crude protein, and an estimate of dietary fiber. The accuracy of the prediction was higher with NDF than with ADF or Weende crude fiber. The results suggest that even a rather large proportion of dietary fiber (approximately 50%) is degraded in the digestive tract, the amount of available energy from fiber digestion is negligible in connection with increased endogenous protein and fat losses. The equations obtained in the present study represent a basis for the prediction of the energy values of mixed diets with a composition of unknown ingredients.

Prediction of Digestibility of Nutrients and Energy Values of Pig Diets from Chemical Analysis

The DE and ME values and digestible nutrient contents of 114 diets were measured in 45-kg growing... more The DE and ME values and digestible nutrient contents of 114 diets were measured in 45-kg growing pigs (four to five animals per diet) fed approximately 500 kcal of ME/kg BW.60. Diets differed widely with regard to their chemical characteristics and their ingredients. Chemical composition of each diet was measured by at least four laboratories. The results were used to establish prediction equations of DE or ME values, digestible nutrient contents, and digestibility coefficients of energy and nutrients from chemical characteristics. Digestibility coefficients of energy (range: 65 to 95%) and CP (range: 64 to 94%) were highly dependent on dietary fiber and mineral contents. The digestibility coefficient of ether extract increased curvilinearly (from 2 to 84%) with the dietary fat content. The digestibility of fiber was lower (45% for NDF) than for the other chemical constituents. The ME:DE ratio averaged 96.3% and was negatively correlated to the dietary protein content. The DE and ME values could be accurately predicted (R2 &gt; .90 and CV &lt; 2%) from chemical characteristics; the best equations were obtained when the following predictors were combined in a linear model: ash, ether extract, crude protein, and an estimate of dietary fiber. The accuracy of the prediction was higher with NDF than with ADF or Weende crude fiber. The results suggest that even a rather large proportion of dietary fiber (approximately 50%) is degraded in the digestive tract, the amount of available energy from fiber digestion is negligible in connection with increased endogenous protein and fat losses. The equations obtained in the present study represent a basis for the prediction of the energy values of mixed diets with a composition of unknown ingredients.

Elastoplastic finite element analysis of three-dimensional fatigue crack growth in aluminum shafts subjected to axial loading

International Journal of Solids and Structures, 1999

... axial fatigue tests of aluminum shafts of. * Corresponding author. Fax : 001 818 304 0175 ; e... more

Mapa

Download

Related Authors

Uploads

Papers by Javier Perez

Log In