4 resultados para High Reliability

em Universidad de Alicante


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Fundamentos: El Physician Readiness to Manage Intimate Partner Violence Survey (PREMIS) es uno de los cuestionarios más completos en el contexto internacional para la valoración de la capacidad de respuesta frente a la violencia del compañero íntimo por los profesionales de Atención Primaria de Salud. El objetivo de este estudio fue determinar la fiabilidad, consistencia interna y validez de constructo de la versión española de este cuestionario. Métodos: Tras la traducción, retrotraducción y valoración de la validez de contenido del cuestionario, se distribuyeron en una muestra de 200 profesionales de medicina y enfermería de 15 centros de atención primaria de 4 Comunidades Autónomas en 2013 (Comunidad Valenciana, Castilla León, Murcia y Cantabria). Se calcularon los coeficientes alfa de Cronbach, los de correlación intraclase y rho de Spearman (test-retest). Resultados: la versión española del PREMIS incluyó 64 ítems. El coeficiente α de Cronbach fue superior a 0,7 o muy cercano a ese valor en la mayoría de los índices. Se obtuvo un coeficiente de correlación intraclase de 0,87 y un coeficiente de Spearman de 0,67 que muestran una fiabilidad alta. Todas las correlaciones observadas para la escala de opiniones, la única tratada como estructura factorial en el cuestionario PREMIS, fueron superiores a 0,30. Conclusiones: el PREMIS en español obtuvo una buena validez interna, alta fiabilidad y capacidad predictiva de las prácticas auto-referidas por médicos(as) y enfermeros(as) frente a casos de violencia del compañero íntimo en centros de atención primaria.

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On a global level the population growth and increase of the middle class lead to a growing demand on material resources. The built environment has an enormous impact on this scarcity. In addition, a surplus of construction and demolition waste is a common problem. The construction industry claims to recycle 95% of this waste but this is in fact mainly downcycling. Towards the circular economy, the quality of reuse becomes of increasing importance. Buildings are material warehouses that can contribute to this high quality reuse. However, several aspects to achieve this are unknown and a need for more insight into the potential for high quality reuse of building materials exists. Therefore an instrument has been developed that determines the circularity of construction waste in order to maximise high quality reuse. The instrument is based on three principles: ‘product and material flows in the end of life phase’, ‘future value of secondary materials and products’ and ‘the success of repetition in a new life cycle’. These principles are further divided into a number of criteria to which values and weighting factors are assigned. A degree of circularity can then be determined as a percentage. A case study for a typical 70s building is carried out. For concrete, the circularity is increased from 25% to 50% by mapping out the potential for high quality reuse. During the development of the instrument it was clarified that some criteria are difficult to measure. Accurate and reliable data are limited and assumptions had to be made. To increase the reliability of the instrument, experts have reviewed the instrument several times. In the long-term, the instrument can be used as a tool for quantitative research to reduce the amount of construction and demolition waste and contribute to the reduction of raw material scarcity.

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There is an increasing concern to reduce the cost and overheads during the development of reliable systems. Selective protection of most critical parts of the systems represents a viable solution to obtain a high level of reliability at a fraction of the cost. In particular to design a selective fault mitigation strategy for processor-based systems, it is mandatory to identify and prioritize the most vulnerable registers in the register file as best candidates to be protected (hardened). This paper presents an application-based metric to estimate the criticality of each register from the microprocessor register file in microprocessor-based systems. The proposed metric relies on the combination of three different criteria based on common features of executed applications. The applicability and accuracy of our proposal have been evaluated in a set of applications running in different microprocessors. Results show a significant improvement in accuracy compared to previous approaches and regardless of the underlying architecture.

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The purpose of this study was to examine the reliability and validity of the School Anxiety Inventory (SAI) using a sample of 646 Slovenian adolescents (48% boys), ranging in age from 12 to 19 years. Single confirmatory factor analyses replicated the correlated four-factor structure of scores on the SAI for anxiety-provoking school situations (Anxiety about School Failure and Punishment, Anxiety about Aggression, Anxiety about Social Evaluation, and Anxiety about Academic Evaluation), and the three-factor structure of the anxiety response systems (Physiological Anxiety, Cognitive Anxiety, and Behavioral Anxiety). Equality of factor structures was compared using multigroup confirmatory factor analyses. Measurement invariance for the four- and three-factor models was obtained across gender and school-level samples. The scores of the instrument showed high internal reliability and adequate test–retest reliability. The concurrent validity of the SAI scores was also examined through its relationship with the Social Anxiety Scale for Adolescents (SASA) scores and the Questionnaire about Interpersonal Difficulties for Adolescents (QIDA) scores. Correlations of the SAI scores with scores on the SASA and the QIDA were of low to moderate effect sizes.