Pesquisa de Campylobacter fetus em amostras prepuciais de touros da região do Alentejo

A bactéria Campylobacter fetus divide-se em duas subespécies C. fetus fetus (Cff) e C. fetus venerealis (Cfv). Cfv é o agente patogénico responsável pela campilobacteriose genital bovina (CGB), uma doença que provoca infertilidade em vacas. Cff pode provocar abortos esporádicos, mas não provoca CGB. Neste trabalho procedeu-se à pesquisa de C. fetus por imunofluorescência direta (IFD) em 117 amostras prepuciais, recolhidas por raspagem, de touros pertencentes a 25 explorações na região do Alentejo. A prevalência real de CGB na amostra, considerando a sensibilidade e especificidade do teste, foi de 52,89% de animais e 80% de explorações. Foi também realizada uma comparação entre dois testes de diagnóstico de CGB, a IFD e o isolamento bacteriológico. O isolamento bacteriológico foi difícil de executar e a presença de bactérias contaminantes foi bastante problemática, levando a resultados falso-negativos. A sua correlação com a IFD foi muito baixa, tendo esta revelado ser muito mais sensível; #### Abstract Search for Campylobacter fetus in preputial samples of bulls from Alentejo region The bacteria Campylobacter fetus comprises two subspecies, C. fetus fetus (Cff) and C. fetus venerealis (Cfv). Cfv is the pathogen responsible for bovine genital campylobacteriosis (BGC), a disease that causes infertility in cows. Cff may lead to sporadic miscarriages, but does not cause BGC. In this work we searched for C. fetus by direct immunofluorescence (DIF) in 117 preputial samples, collected by scraping, from bulls from Alentejo region. The actual prevalence of BGC, considering the sensitivity and specificity of the test was 52.89% of animals and 80 % of farms. It was also performed a comparison between two BGC diagnostic tests, bacterial isolation and DIF. The bacterial isolation was difficult to perform and the presence of bacterial contaminants was very problematic, leading to false-negative results. The presence of bacterial contaminants in bacterial isolation was problematic, leading to false-negative results. Its correlation with DIF was quite low, and DIF proved to be much more sensitive.

An Evaluative Model to Assess the Organizational Efficiency in Training Corporations

In an organisation any optimization process of its issues faces increasing challenges and requires new approaches to the organizational phenomenon. Indeed, in this work it is addressed the problematic of efficiency dynamics through intangible variables that may support a different view of the corporations. It focuses on the challenges that information management and the incorporation of context brings to competitiveness. Thus, in this work it is presented the analysis and development of an intelligent decision support system in terms of a formal agenda built on a Logic Programming based methodology to problem solving, complemented with an attitude to computing grounded on Artificial Neural Networks. The proposed model is in itself fairly precise, with an overall accuracy, sensitivity and specificity with values higher than 90 %. The proposed solution is indeed unique, catering for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in a quantitative or qualitative arrangement.