Passive smoking in babies: the BIBE study (brief intervention in babies : effectiveness)

There is evidence that exposure to passive smoking in general, and in babies in particular, is an important cause of morbimortality. Passive smoking is related to an increased risk of pediatric diseases such as sudden death syndrome, acute respiratory diseases, worsening of asthma, acute-chronic middle ear disease and slowing of lung growth. The objective of this article is to describe the BIBE study protocol. The BIBE study aims to determine the effectiveness of a brief intervention within the context of Primary Care, directed to mothers and fathers that smoke, in order to reduce the exposure of babies to passive smoking (ETS)

Cessació de l'hàbit tabàquic en pacients afectats de malaltia vascular cerebral aguda

S'han estudiat 1003 pacients amb el diagnòstic de Malaltia Vascular Cerebral (MVC) aguda ingressats a la unitat de neurologia de l'Hospital Josep Trueta de Girona en el període de gener de 2005 a juliol de 2007. S'ha realitzat un estudi de cohorts prospectiu d'un any en 110 pacients que eren fumadors en el moment de l'ictus. Un elevat percentatge dels pacients afectats de MVC aguda presenten factors de risc vascular que es poden evitar com el consum de tabac o d'alcohol, i factors de risc vascular que cal controlar com la hipertensió, la dislipèmia, la diabetis o la cardiopatia. Només 4 de cada 10 pacients fumadors diagnosticats d'ictus havien abandonat l'hàbit un any després de presentar la MVC aguda. Les variables que millor prediuen la cessació tabàquica en aquests pacients són la localització de la lesió a l'ínsula cerebral i la intenció de deixar de fumar prèvia a l'ictus.

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system