5 resultados para 670108 Beverages (e.g. alcohol, wines, soft drinks, excl. fruit juices)

em Universidad de Alicante


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Fundamentos: Existe una gran diferencia entre el consumo de agua y las bebidas que contiene agua (bebidas carbonatadas, azucaradas, zumos o bebidas alcohólicas). El consumo de estas bebidas está relacionado con el desarrollo de enfermedades crónicas (obesidad, diabetes tipo 2, hipertensión arterial o dislipemias). El objetivo es determinar la frecuencia de consumo de bebidas de los estudiantes de la Universidad de Alicante. Métodos: Estudio transversal descriptivo. Población 26.273 estudiantes. Se seleccionaron 396 mediante muestreo aleatorio simple. Se utilizó un cuestionario frecuencia consumo para estimar la ingesta individual. Variables: bebidas (n=12) y frecuencia de consumo (n=4). Resultados: El 29,6% de hombres y el 13,0% de mujeres consumen bebidas carbonatadas con azúcar a diario (p-valor<0,001). El consumo diario de vino es nulo. El 41,4% de la población consume cerveza y destilados semanalmente. El 76,1% de hombres y el 58,7% de mujeres, consumen alcohol como mínimo una vez a la semana, p-valor=0,001. Conclusiones: Los resultados plantean la necesidad de estudios epidemiológicos que orienten el desarrollo de políticas nutricionales dirigidas a reducir el consumo de bebidas azucaradas y alcohólicas entre la población joven. Mediante un trabajo conjunto entre las autoridades gubernamentales, medios de comunicación, industria alimentaria y la sociedad en general.

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Several recent works deal with 3D data in mobile robotic problems, e.g., mapping. Data comes from any kind of sensor (time of flight, Kinect or 3D lasers) that provide a huge amount of unorganized 3D data. In this paper we detail an efficient approach to build complete 3D models using a soft computing method, the Growing Neural Gas (GNG). As neural models deal easily with noise, imprecision, uncertainty or partial data, GNG provides better results than other approaches. The GNG obtained is then applied to a sequence. We present a comprehensive study on GNG parameters to ensure the best result at the lowest time cost. From this GNG structure, we propose to calculate planar patches and thus obtaining a fast method to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Final results of 3D mapping are also shown.

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La literatura científica aduce que a mayor exposición de mensajes publicitarios de bebidas alcohólicas, mayor probabilidad de que estas sean consumidas. Método. La muestra constó de 437 estudiantes universitarios. Los objetivos se centraron en analizar la relación entre mensaje publicitario y consumo. Resultados. Existe relación entre publicidad y consumo, dado que el consumo de los jóvenes coincide con el recuerdo de las campañas en cuanto al tipo de bebida consumida. Conclusiones. Observamos que la publicidad parece ser un instrumento de influencia al consumo de alcohol.

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Two predictive models are developed in this article: the first is designed to predict people's attitudes to alcoholic drinks, while the second sets out to predict the use of alcohol in relation to selected individual values. University students (N = 1,500) were recruited through stratified sampling based on sex and academic discipline. The questionnaire used obtained information on participants' alcohol use, attitudes and personal values. The results show that the attitudes model correctly classifies 76.3% of cases. Likewise, the model for level of alcohol use correctly classifies 82% of cases. According to our results, we can conclude that there are a series of individual values that influence drinking and attitudes to alcohol use, which therefore provides us with a potentially powerful instrument for developing preventive intervention programs.

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A comparative study of the influence of three different acid solids as catalysts (conventional zeolites Z15c with Si/Al = 19.5 and Z40c with Si/Al = 48.2, and a hierarchical zeolite Z40c-H with Si/Al = 50.0) for the etherification of glycerol with benzyl alcohol was performed. The catalytic activity and selectivity of these zeolites was elucidated at different catalyst contents. Three different ethers (3-benzyloxy-1,2-propanediol, which is a mono-benzyl-glycerol ether (MBG) and 1,3-dibenzyloxy-2-propanol, which is a di-benzyl-glycerol ether (DBG) and dibenzyl ether (DBz) were identified as the main products. MBG was the major product of the reaction catalyzed by the microporous Z15c zeolite with low Si/Al molar ratio, whereas DBG was formed in higher yield with the use of microporous Z40c and hierarchical Z40c-H zeolites, both of them having a similar high Si/Al molar ratio (≈50). MBG is a value-added product and it is obtained with good yield and selectivity when using the conventional zeolite Z15c as a catalyst. Under the best conditions tested, i.e., 25 mg of catalyst for 8 h at 120 °C, a 62% of conversion was obtained without the need of solvent, with an excellent 84% selectivity toward the MBG and no formation of DBz.