2 resultados para Satisfaction Measurement Methods
em Repositório Científico da Universidade de Évora - Portugal
Resumo:
O presente relatório pretende descrever as atividades desenvolvidas durante o estágio curricular, realizado no Hospital Veterinário do Restelo, no período de 4 de agosto a 31 de janeiro. A hipertensão sistémica é uma doença insidiosa e progressiva, que se não controlada pode provocar lesões irreversíveis em órgãos alvo. Nos animais o seu desenvolvimento é normalmente secundário a processos de doença ou à administração exógena de alguns fármacos. Nos cães as causas mais comuns compreendem a doença renal crónica, a doença renal aguda e o hiperadrenocorticismo, enquanto nos gatos o seu desenvolvimento está, normalmente, associado à doença renal crónica, ao hipertiroidismo e ao hiperaldosteronismo primário. O diagnóstico da hipertensão e da causa primária responsável pelo seu desenvolvimento constituem um desafio clínico, criado por um conjunto diversificado de fatores associados aos animais, aos métodos de medição indiretos, processos de doença concorrentes e financeiros; Abstract: Small animal clinics The present report aims to describe the activities developed during the traineeship realized at Hospital Veterinário do Restelo, from August 4 to January 31. Systemic hypertension is an insidious and progressive disease, which uncontrolled is responsible for irreversible damage in target organs. In animals, their development is usually secondary to disease processes or exogenous administration of some drugs. In dogs, the most common causes include chronic kidney disease, acute renal disease and hyperadrenocorticism, while in cats their development is usually associated with chronic kidney disease, hyperthyroidism and primary aldosteronism. The diagnosis of hypertension and the primary cause responsible for its development are a clinical challenge created by a diverse set of factors associated with the animals, the indirect measurement methods, concurrent disease processes and financial.
Resumo:
It is well known that human resources play a valuable role in a sustainable organizational development. Indeed, this work will focus on the development of a decision support system to assess workers’ satisfaction based on factors related to human resources management practices. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data or knowledge in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process.