Extension des prestations de type "équipe mobile" aux foyers socio-éducatifs: projet pilote dans le canton de Vaud [Extension of mobile team services to socio-educational home: pilot project in the Vaud canton].

L'objectif principal de ce projet d'extension des prestations, de type Antenne d'intervention dans le milieu pour enfants et adolescents (AIMEA) aux foyers socio-éducatifs pour l'ensemble du canton de Vaud, vise à décloisonner les champs socio-éducatifs et pédopsychiatriques. 64 patients ont fait l'objet d'une évaluation au cours de la phase pilote (après une année de fonctionnement). De plus, une enquête de satisfaction a été effectuée soit à la fin du suivi, soit à la fin de la phase pilote de ce projet (au 31.12.2012). Cette expérience très positive, relevée par une grande majorité des acteurs impliqués dans la prise en charge socio-éducative et pédopsychiatrique des mineurs, suscite un désir d'extension des prestations de type équipe mobile à d'autres structures ou à d'autres types de situations. The main objective of this project about mobile team service extension to the socio-educational home of the whole Vaud canton targets to decompartmentalize the socio-educational and youth-psychiatry domains. 64 patient were assessed during this pilot phase (after one-year functioning). In addition, a satisfaction survey was done either at the end of the follow up or at the end of the pilot phase of the project (31.12.2012). This experience was very positive as highlighted by the vast majority of the person involved in the socio-educational and youth-psychiatric domains taking care of youth. A desire of extension of mobile team service to other institutional structure or other situations was expressed.

Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine

Psychophysical studies suggest that humans preferentially use a narrow band of low spatial frequencies for face recognition. Here we asked whether artificial face recognition systems have an improved recognition performance at the same spatial frequencies as humans. To this end, we estimated recognition performance over a large database of face images by computing three discriminability measures: Fisher Linear Discriminant Analysis, Non-Parametric Discriminant Analysis, and Mutual Information. In order to address frequency dependence, discriminabilities were measured as a function of (filtered) image size. All three measures revealed a maximum at the same image sizes, where the spatial frequency content corresponds to the psychophysical found frequencies. Our results therefore support the notion that the critical band of spatial frequencies for face recognition in humans and machines follows from inherent properties of face images, and that the use of these frequencies is associated with optimal face recognition performance.

Cardiovascular disease and the changing face of global public health : a focus on low and middle income countries

Eighty percent of the global 17 million deaths due to cardiovascular disease (CVD) occur in low and middle income countries (LMICs). The burden of CVD and other noncommunicable diseases (NCDs) is expected to markedly increase because of the global aging of the population and increasing exposure to detrimental lifestyle-related risk in LMICs. Interventions to reduce four main risks related to modifiable behaviors (tobacco use, unhealthy diet, low physical activity and excess alcohol consumption) are key elements for effective primary prevention of the four main NCDs (CVD, cancer, diabetes and chronic pulmonary disease). These behaviors are best improved through structural interventions (e.g., clean air policy, taxes on cigarettes, new recipes for processed foods with reduced salt and fat, urban shaping to improve mobility, etc.). In addition, health systems in LMICs should be reoriented to deliver integrated cost-effective treatment to persons at high risk at the primary health care level. The full implementation of a small number of highly cost effective, affordable and scalable interventions ("best buys") is likely to be the necessary and sufficient ingredient for curbing NCDs in LMICs. NCDs are both a cause and a consequence of poverty. It is therefore important to frame NCD prevention and control within the broader context of social determinants and development agenda. The recent emphasis on NCDs at a number of health and economic forums (including the September 2011 High Level Meeting on NCDs at the United Nations) provides a new opportunity to move the NCD agenda forward in LMICs.

A nursing interface terminology: evaluation of face validity

A range of different language systems for nursing diagnosis, interventions and outcomes are currently available. Nursing terminologies are intended to support nursing practice but they have to be evaluated. This study aims to assess the results of an expert survey to establish the face validity of a nursing interface terminology. The study applied a descriptive design with a cross-sectional survey strategy using a written questionnaire administered to expert nurses working in hospitals. Sample size was estimated at 35 participants. The questionnaire included topics related to validity and reliability criteria for nursing controlled vocabularies described in the literature. Mean global score and criteria scoring at least 7 were considered main outcome measures. The analysis included descriptive statistics with a confidence level of 95%. The mean global score was 8.1. The mean score for the validity criteria was 8.4 and 7.8 for reliability and applicability criteria. Two of the criteria for reliability and applicability evaluation did not achieve minimum scores. According to the experts" responses, this terminology meets face validity, but that improvements are required in some criteria and further research is needed to completely demonstrate its metric properties.