996 resultados para Esther Hermitte


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Mode of access: Internet.

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übersetzt und mit Anmerkungen versehen von Prof. Dr. A. Sulzbach

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herausgegeben von D. Paulus Cassel

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General note: Title and date provided by Bettye Lane.

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General note: Title and date provided by Bettye Lane.

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General note: Title and date provided by Bettye Lane.

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While coaching and customer involvement can enhance the improvement of health and social care, many organizations struggle to develop their improvement capability; it is unclear how best to accomplish this. We examined one attempt at training improvement coaches. The program, set in the Esther Network for integrated care in rural Jonkoping County, Sweden, included eight 1-day sessions spanning 7 months in 2011. A senior citizen joined the faculty in all training sessions. Aiming to discern which elements in the program were essential for assuming the role of improvement coach, we used a case-study design with a qualitative approach. Our focus group interviews included 17 informants: 11 coaches, 3 faculty members, and 3 senior citizens. We performed manifest content analysis of the interview data. Creating will, ideas, execution, and sustainability emerged as crucial elements. These elements were promoted by customer focusembodied by the senior citizen trainershared values and a solution-focused approach, by the supportive coach network and by participants' expanded systems understanding. These elements emerged as more important than specific improvement tools and are worth considering also elsewhere when seeking to develop improvement capability in health and social care organizations.

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Encontrar a la madre es, aparte de una aspiración del feminismo de la diferencia, la piedra angular de la escritura regresiva de Esther Tusquets Guillén. Una búsqueda afectiva que le sitúa, junto a su progenitora, en el centro de todas sus ficciones. Esta característica, denominada por la crítica como autoficcionalización, ofrece el marco analítico de esta investigación que se propone buscar en su narrativa los pilares de su motivación. A partir de esta premisa abductiva se analiza, con especial atención, el binomio espacio-tiempo. Su eminente discursividad dio pie a localizar, como si del ombligo del sueño freudiano se tratase, las fisuras metonímicas y metafóricas por las que acceder al inconsciente de la autora. Éste, visto y estructurado como un lenguaje gracias a Lacan, pudo ser analizado a través del Edipo freudiano y del estadio del espejo lacaniano; permitiendo localizar el origen del trauma materno-filial entre los ocho y los doce meses de edad. Cuando la escritora no recibió, en términos de la psicología del desarrollo, la mirada subjetivante de su madre. Un afecto que nunca obtuvo y que le marcó de por vida. Su escritura es el resultado de esa frustración.

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SIN FINANCIACIÓN

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The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This paper discusses a number of possible data mining methods that can be applied to do the lifetime prediction of metallic components and how different sources of service life information could be integrated to form the basis of the lifetime prediction model

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Real-World Data Mining Applications generally do not end up with the creation of the models. The use of the model is the final purpose especially in prediction tasks. The problem arises when the model is built based on much more information than that the user can provide in using the model. As a result, the performance of model reduces drastically due to many missing attributes values. This paper develops a new learning system framework, called as User Query Based Learning System (UQBLS), for building data mining models best suitable for users use. We demonstrate its deployment in a real-world application of the lifetime prediction of metallic components in buildings

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This paper deals with the problem of using the data mining models in a real-world situation where the user can not provide all the inputs with which the predictive model is built. A learning system framework, Query Based Learning System (QBLS), is developed for improving the performance of the predictive models in practice where not all inputs are available for querying to the system. The automatic feature selection algorithm called Query Based Feature Selection (QBFS) is developed for selecting features to obtain a balance between the relative minimum subset of features and the relative maximum classification accuracy. Performance of the QBLS system and the QBFS algorithm is successfully demonstrated with a real-world application