5 resultados para mixed-method evaluation

em Universidad de Alicante


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La Responsabilidad Social en general, y la Gestión Medioambiental en particular, pueden influir sobre el resultado y la competitividad de las empresas. El objetivo principal de este trabajo es analizar la relación entre certificación medioambiental, rendimiento medioambiental, competitividad y resultado empresarial en el sector hotelero español. Además, también se analizan y comparan los niveles alcanzados de proactividad medioambiental para el grupo de hoteles certificados y no certificados. El método de investigación utilizado es híbrido, combinando una parte cualitativa con otra cuantitativa. Los resultados indican que los hoteles que tienen certificado su sistema de Gestión Medioambiental alcanzan mayores niveles de resultado en términos de porcentaje de ocupación e ingresos por habitación disponible (RevPAR). Además, los hoteles certificados obtienen un mejor rendimiento medioambiental. Con relación a la ventaja competitiva, los hoteles certificados desarrollan una ventaja en diferenciación significativamente superior.

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En esta comunicación se presentan resultados de una investigación cuyo objeto fue analizar concepciones de profesores de matemáticas de nivel medio superior sobre la inclusión de la historia de la matemática en su práctica docente. Se usó un método mixto para la recogida y análisis de datos. Para detectar concepciones de los profesores, se elaboraron un cuestionario y una entrevista. Los resultados de su aplicación indican que la mayoría de los profesores del estudio no están habituados a considerar la historia de la matemática en su enseñanza; además sus concepciones sobre incluir este recurso están condicionadas por su visión del sistema educativo.

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The aim of this study is to analyse the physical and physiological factors in soccer training at different categories of training. The participants were 30 soccer players of 8-aside soccer in the under 10’s age group (9.93±0.25 years) who participated in the under 10 Provincial Tournament in Alicante. During training, the variables of covered distance, heart rate, speed (average and maximum values) as well as the methodology used and position were registered. After the statistical analysis and its related discussion, it was concluded that the players do not show differences in the covered total distance in relation to the category. Notwithstanding, there are differences with regards to speed and heart rate, which are caused by the greater physical development of the players in comparison to the under10’s age group category. Regarding the methodology employed, it is worth stressing that the coaches used, to a greater extend, the global method, followed by the mixed method.

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Since the beginning of 3D computer vision problems, the use of techniques to reduce the data to make it treatable preserving the important aspects of the scene has been necessary. Currently, with the new low-cost RGB-D sensors, which provide a stream of color and 3D data of approximately 30 frames per second, this is getting more relevance. Many applications make use of these sensors and need a preprocessing to downsample the data in order to either reduce the processing time or improve the data (e.g., reducing noise or enhancing the important features). In this paper, we present a comparison of different downsampling techniques which are based on different principles. Concretely, five different downsampling methods are included: a bilinear-based method, a normal-based, a color-based, a combination of the normal and color-based samplings, and a growing neural gas (GNG)-based approach. For the comparison, two different models have been used acquired with the Blensor software. Moreover, to evaluate the effect of the downsampling in a real application, a 3D non-rigid registration is performed with the data sampled. From the experimentation we can conclude that depending on the purpose of the application some kernels of the sampling methods can improve drastically the results. Bilinear- and GNG-based methods provide homogeneous point clouds, but color-based and normal-based provide datasets with higher density of points in areas with specific features. In the non-rigid application, if a color-based sampled point cloud is used, it is possible to properly register two datasets for cases where intensity data are relevant in the model and outperform the results if only a homogeneous sampling is used.

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Ce0.64Zr0.27Nd0.09Oδ mixed oxides have been prepared by three different methods (nitrates calcination, coprecipitation and microemulsion), characterized by N2 adsorption, XRD, H2-TPR, Raman spectroscopy and XPS, and tested for soot combustion in NOx/O2. The catalyst prepared by microemulsion method is the most active one, which is related to its high surface area (147 m2/g) and low crystallite size (6 nm), and the lowest activity was obtained with the catalyst prepared by coprecipitation (74 m2/g; 9 nm). The catalyst prepared by nitrates precursors calcination is slightly less active to that prepared by microemulsion, but the synthesis procedure is very straightforward and surfactants or other chemicals are not required, being very convenient for scaling up and practical utilization. The high activity of the catalyst prepared by nitrates calcination can be attributed to the better introduction of Nd cations into the parent ceria framework than on catalysts prepared by coprecipitation and microemulsion, which promotes the creation of more oxygen vacancies.