33 resultados para Gestural interface


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La prise en charge et le suivi de personnes en situation de handicap mental souffrant de troubles psychiques et se trouvant donc à l'interface des domaines socio:éducatif et psychiatrique, constituent des défis complexes en matière de collaboration interprofessionnelle. Dans le canton de Vaud, les acteurs concernés par ce problème s'efforcent depuis de nombreuses années de créer des réseaux pluridisciplinaires visant un meilleur échange entre professionnels et le développement de compétences et de connaissances permettant d'améliorer le bien:être des bénéficiaires. Ce travail se propose ainsi d'étudier et de questionner ces modalités de travail dans une perspective socioculturelle (Vygotski, 1934/1997), afin d'en comprendre le fonctionnement, d'en éclairer les mécanismes et de fournir des pistes de réflexion aux professionnels. Il repose sur un travail de terrain mené auprès des membres du Dispositif de Collaboration Psychiatrie Handicap Mental (DCPHM) du Département de psychiatrie du CHUV, dont la mission principale est de faciliter la collaboration entre les institutions socio:éducatives et psychiatriques spécialisées dans le suivi des personnes en situation de handicap mental et souffrant de troubles psychiques. Le travail empirique est basé sur une approche qualitative et compréhensive des interactions sociales, et procède par une étude de terrain approfondie. Les données recueillies sont variées : notes de terrain et récolte de documentation, enregistrement de réunions d'équipe au sein du DCPHM et de réunions de réseau, et entretiens de différents types. L'analyse montre que le travail de collaboration qui incombe à l'équipe est constitué d'obstacles qui sont autant d'occasions de développement professionnel et de construction identitaire. Les résultats mettent en lumière des mécanismes discursifs de catégorisation concourant à la fois à la construction des patients comme objets d'activité, et à la construction d'une place qui légitime les interventions de l'équipe dans le paysage socio:éducatif et psychiatrique vaudois et la met au centre de l'arène professionnelle. -- Care and follow:up for people with mental disabilities suffering from psychological disorders : therefore at the interface between the socio:educational and psychiatric fields : represent complex challenges in terms of interprofessional collaboration. In the canton of Vaud, the caregivers involved in this issue have been trying for years to build multidisciplinary networks in order to better exchange between professionals and develop skills and knowledge to improve the recipients' well:being. This work thus proposes to study and question these working methods in a sociocultural perspective (Vygotski, 1934/1997) so as to understand how they operate, highlight inherent mechanisms and provide actionable insights to the professionals. It is based on fieldwork conducted among members of the Dispositif de Collaboration Psychiatrie Handicap Mental (DCPHM), of the Psychiatry Department at the CHUV University Hospital in Lausanne, whose main mission is to facilitate collaboration between the socio:educational and psychiatric institutions specialising in monitoring people presenting with both mental handicap and psychiatric disorder. The empirical work is based on a qualitative and comprehensive approach to social interactions, and conducted based on an in:depth field study. The data collected are varied - field notes and documentation collection, recordings of team meetings within the DCPHM and network meetings, and various types of interviews. The analysis shows that the collaborative work that befalls the team consists of obstacles, all of which provide opportunities for professional development and identity construction. The results highlight discursive strategies of categorisation which contribute both to the construction of the patients as objects of activity and to building a position that legitimates the team's interventions in the socio: educational and psychiatric landscape of canton Vaud and puts it in the centre of the professional arena.

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Problems related to fire hazard and fire management have become in recent decades one of the most relevant issues in the Wildland-Urban Interface (WUI), that is the area where human infrastructures meet or intermingle with natural vegetation. In this paper we develop a robust geospatial method for defining and mapping the WUI in the Alpine environment, where most interactions between infrastructures and wildland vegetation concern the fire ignition through human activities, whereas no significant threats exist for infrastructures due to contact with burning vegetation. We used the three Alpine Swiss cantons of Ticino, Valais and Grisons as the study area. The features representing anthropogenic infrastructures (urban or infrastructural components of the WUI) as well as forest cover related features (wildland component of the WUI) were selected from the Swiss Topographic Landscape Model (TLM3D). Georeferenced forest fire occurrences derived from the WSL Swissfire database were used to define suitable WUI interface distances. The Random Forest algorithm was applied to estimate the importance of predictor variables to fire ignition occurrence. This revealed that buildings and drivable roads are the most relevant anthropogenic components with respect to fire ignition. We consequently defined the combination of drivable roads and easily accessible (i.e. 100 m from the next drivable road) buildings as the WUI-relevant infrastructural component. For the definition of the interface (buffer) distance between WUI infrastructural and wildland components, we computed the empirical cumulative distribution functions (ECDF) of the percentage of ignition points (observed and simulated) arising at increasing distances from the selected infrastructures. The ECDF facilitates the calculation of both the distance at which a given percentage of ignition points occurred and, in turn, the amount of forest area covered at a given distance. Finally, we developed a GIS ModelBuilder routine to map the WUI for the selected buffer distance. The approach was found to be reproducible, robust (based on statistical analyses for evaluating parameters) and flexible (buffer distances depending on the targeted final area covered) so that fire managers may use it to detect WUI according to their specific priorities.