In this work, we evaluate the final performance of UEFA EURO 2012 national teams, by means of a methodology that combines Data Envelopment Analysis and Multiple Objective Linear Programming, known as MCDEA (Multiple Criteria Data Envelopment Analysis). Nonetheless, the formulation herein proposed is an extension of the original MCDEA model, as it considers the radial output orientation. The use of the MCDEA model seeks to improve the discrimination power among the evaluated units (national teams), a well-known limitation of traditional DEA models. The results reveal that the MCDEA framework actually enhanced the discrimination, considerably reducing the number of efficient units.
To obtain the neutron spectroscopic amplitudes for 90-96Zr overlaps, experimental data of elastic scattering with small experimental errors and precise optical potentials were analyzed. In this study, the elastic scattering angular distributions of
C +
(A = 90, 91, 92, 94, 96) were measured using the high-precision Q3D magnetic spectrometer in the Tandem accelerator. The São Paulo potential was used for the optical potential. The optical model and coupled channel calculations were compared with the experimental data. The theoretical results were found to be very close to the experimental data. In addition, the possible effects of the couplings to the inelastic channels of the
targets and
C projectiles on the elastic scattering were studied. It was observed that the couplings to the inelastic channels of the
C projectiles could improve the agreement with the experimental data, while the inelastic couplings to the target states are of minor importance. The effect of the one-neutron stripping in the
C+
elastic scattering was also studied. The one-neutron stripping channel in
C +
was found to be not relevant and did not affect the elastic scattering angular distributions. Our results also show that in the reactions with the considered zirconium isotopes, the presence of the extra neutron in
C does not influence the reaction mechanism, which is governed by the collective excitation of the
C core.
O despertar da sociedade para a sustentabilidade do meio ambiente impulsiona estudos que avaliem a eficiência ambiental das indústrias. Dentro deste contexto, se encontra o setor de transportes, que é um grande responsável pela emissão de gases provocadores de efeito estufa. Embora existam vários estudos relacionados à Análise Envoltória de Dados em Transportes e em Meio Ambiente, não foi observada na revisão da literatura uma aplicação desta metodologia especificamente para a análise da eficiência da emissão de CO2 na operação dos modos de transportes ferroviário e rodoviário no mundo. Por isso, o presente estudo apresenta uma modelagem DEA (Data Envelopment Analysis) para analisar a eficiência de 41 países da OCDE em relação à perspectiva ambiental de seus modos de transporte rodoviário e ferroviário. Vale ressaltar a relevância da utilização de modelos avançados em DEA no estudo, além da modelagem das emissões de CO2 como output indesejado. Os resultados indicam a eficiência de países pertencentes à União Europeia, com destaque para Letônia e Lituânia. Esses resultados foram confirmados por análises qualitativas, segundo a revisão da literatura.
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