794 resultados para 130303 Education Assessment and Evaluation


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Objective: To develop and evaluate an effective, community based, multiagency course (involving doctors, nurses, non-health statutory workers, and voluntary organisations) for all Leicester medical students, in response to the General Medical Council’s recommendation of preparing the doctors of tomorrow to handle society’s medical problems.

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Perinatal depression significantly impacts the mother, her partner, the unborn fetus, and the infant/child after delivery. A review of the literature supports the need for preventive intervention methods as research has shown that even with successful treatment, disruptions in attachment, temperament, and cognitive development often remain. Primary care settings are ideal targets for prevention given that they can reach a number of people at low-cost without the stigma associated with seeking help in a mental health facility. This paper purposes a preventive intervention method for perinatal depression that can be implemented in primary care settings in both Western and non-Western countries. The intervention targets two of the primary risk factors for perinatal depression; partner support and relationship quality. The intervention is structured around key target periods in gestational development and during the early weeks after delivery. Suggestions for each target visit are based on prior research that has demonstrated how psychoeducation about the transition to parenthood, as well as increased communication, can positively affect partner support and relationship quality. The ultimate goal of the intervention is not only to prevent perinatal depression but also to improve the mental health and wellbeing of the entire family system.

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Actualmente, el rendimiento de los computadores es un tema candente. Existen importantes limitaciones físicas y tecnológicas en los semiconductores de hoy en día, por lo que se realiza un gran esfuerzo desde las universidades y la industria para garantizar la continuidad de la ley de Moore. Este proyecto está centrado en el estudio de la cache y la jerarquía de memoria, uno de los grandes temas en la materia. Para ello, hemos escogido MIPSfpga, una plataforma hardware abierta de Imagination Technologies, lo que nos ha permitido implementar y testear diferentes políticas de reemplazamiento como prueba de concepto, demostrando, además, las bondades de la plataforma.

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Some endophytic fungal genera in Vitis vinifera, including Acremonium, have been reported as antagonists of Plasmopara viticola. Endophytic Acremonium isolates from an asymptomatic grapevine cultivar Inzolia from Italy were identified by morphological features and multigene phylogenies of ITS, 18S and 28S genes, and their intra-specific genomic diversity was analyzed by RAPD analysis. Culture filtrates (CFs) obtained from Acremonium isolates were tested in vitro for their inhibitory activity against the P. viticola sporangia germination. Among 94 isolates, 68 belonged to the Acremonium persicinum and 26 to the Acremonium sclerotigenum. RAPD analysis grouped the A. persicinum isolates into 15 clusters and defined 31 different strains. The A. sclerotigenum isolates, instead, were clustered into 22 groups and represented 25 strains. All A. persicinum CFs inhibited sporangia germination of P. viticola, while not all those of A. sclerotigenum had inhibitory effect. A different degree of inhibition was observed between strains of the same species, while some strains of different species showed identical inhibitory effect. No correlation was found between RAPD groups and inhibitory activity in both Acremonium species.

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Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistical models whose parameter estimation is based on the analysis of existing human translations (contained in bilingual corpora). From a translation student’s standpoint, this dissertation aims to explain how a phrase-based SMT system works, to determine the role of the statistical models it uses in the translation process and to assess the quality of the translations provided that system is trained with in-domain goodquality corpora. To that end, a phrase-based SMT system based on Moses has been trained and subsequently used for the English to Spanish translation of two texts related in topic to the training data. Finally, the quality of this output texts produced by the system has been assessed through a quantitative evaluation carried out with three different automatic evaluation measures and a qualitative evaluation based on the Multidimensional Quality Metrics (MQM).

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by Caroline H. Dall.