57 resultados para LOPEZ, ESTANISLAO


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We analyze how unemployment, job finding and job separation rates reactto neutral and investment-specific technology shocks. Neutral shocks increaseunemployment and explain a substantial portion of it volatility; investment-specificshocks expand employment and hours worked and contribute to hoursworked volatility. Movements in the job separation rates are responsible for theimpact response of unemployment while job finding rates for movements alongits adjustment path. The evidence warns against using models with exogenousseparation rates and challenges the conventional way of modelling technologyshocks in search and sticky price models.

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We analyze the labor market effects of neutral and investment-specific technologyshocks along the intensive margin (hours worked) and the extensive margin(unemployment). We characterize the dynamic response of unemploymentin terms of the job separation and the job finding rate. Labor market adjustmentsoccur along the extensive margin in response to neutral shocks, along theintensive margin in response to investment specific shocks. The job separationrate accounts for a major portion of the impact response of unemployment. Neutralshocks prompt a contemporaneous increase in unemployment because of asharp rise in the separation rate. This is prolonged by a persistent fall in thejob finding rate. Investment specific shocks rise employment and hours worked.Neutral shocks explain a substantial portion of the volatility of unemploymentand output; investment specific shocks mainly explain hours worked volatility.This suggests that neutral progress is consistent with Schumpeterian creative destruction,while investment-specific progress operates as in a neoclassical growthmodel.

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The objective of this paper is to compare the performance of twopredictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled. Clinical and CT data were used for LR and NN models. Both models were developed with cross validation, leave-one-out and three different bootstrap algorithms. The final results of each model were compared with error rate and the area under receiver operating characteristic curves (Az). The neural network obtained statistically higher Az than LR with cross validation. The remaining resampling validation methods did not reveal statistically significant differences between LR and NN rules. The neural network classifier performs better than the one based on logistic regression. This advantage is well detected by three-fold cross-validation, but remains unnoticed when leave-one-out or bootstrap algorithms are used.

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El objetivo del estudio es evaluar el remodelado estructural y funcional de las arterias pulmonares asociado a insuficiencia respiratoria crónica severa, mediante ecografía intravascular (IVUS). Se incluyeron 80 pacientes en estudio pretrasplante pulmonar a los que se les realizó cateterismo cardiaco derecho e IVUS de una arteria pulmonar de mediano calibre. A través del IVUS se determinó el módulo elástico, pulsatilidad y porcentaje de fibrosis arterial. La insuficiencia respiratoria crónica se asoció a una vasculopatía arterial pulmonar severa, independientemente de la presencia de hipertensión pulmonar. Los pacientes con EPOC (enfermedad pulmonar obstructiva crónica) presentaban un mayor grado de fibrosis arterial, mientras que los pacientes con EPID (enfermedad pulmonar intersticial difusa) presentaban mayor rigidez arterial.

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Concurso de méritos para la redacción del Plan Parcial y proyecto de urbanización del Área Estratégica "Eixample Estació"

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Concurs d’avantprojectes del Complex Poliesportiu de Camp Clar

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Concurs d’idees de remodelació de la Sabinosa

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Concurs de la Ciutat Judicial

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Concurso internacional para la construcción de la nueva Facultad de Farmacia de la Universidad de Barcelona

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