Pesquisa de fungos endofíticos presentes em videira (Vitis vinifera L.) com capacidade para inibir o crescimento do agente causal da podridão negra (Guignardia bidwellii)

Neste trabalho testou-se o potencial antagonista de 16 fungos endofíticos isolados de videiras (Vitis vinifera L.), de castas representativas do Alentejo produzidas em modo de proteção integrada e em modo biológico, contra Guignardia bidwellii. Os isolados identificados após ITS-PCR e sequenciação pertencem aos géneros Epicoccum, Alternaria, Botrytis, Athelia, Phoma e Gibberella. Os isolados testados mostraram atividade antagonista contra G. bidwellii quer por inibição direta, quer através da produção de compostos voláteis, à exceção dos dois isolados de B. cinerea. No entanto, todos os isolados produziram alguns compostos voláteis com reconhecida atividade antimicrobiana, tais como benzaldeído, 3-metil-1-butanol e derivados de ácido propanoico. Foi ainda observado que seis dos isolados produziram também metabolitos não voláteis com capacidade de inibir o crescimento de G. bidwellii. Os resultados obtidos vêm mostrar o potencial dos fungos endofíticos como agentes de luta biológica no controlo de G. bidwellii, podendo constituir novas alternativas no âmbito de Proteção de Plantas; ABSTRACT: Endophytic fungi present in grapevines (Vitis vinifera L.) with the ability to inhibit the growth of the causal agent of black rot (Guignardia bidwellii) In this work the antagonistic potential of 16 endophytic grapevine fungi isolates (Vitis vinifera L.), from representative cultivars of the Alentejo region produced either under integrated pest management or organic mode, was tested against Guignardia bidwellii. Isolates were identified through ITS-PCR and sequencing, as belonging to the genera Epicoccum, Alternaria, Botrytis, Athelia, Phoma and Gibberella. Isolates showed antagonist activity against G. bidwellii either by direct inhibition or through the production of volatile compounds, with the exception of two isolates of B. cinerea. Nevertheless, all isolates produced volatile compounds with known antimicrobial activity such as benzaldehyde, 3-methyl-1-butanol and propionic acid derivatives. Additionally, six isolates produced non-volatile metabolites with the ability to inhibit G. bidwellii growth. These results show the potential that endophytic fungi have as agents for biological control of G. bidwellii, opening new options in the field of Plant Protection.

Prediction of Length of Hospital Stay in Preterm Infants - A Case-Based Reasoning View

The length of stay of preterm infants in a neonatology service has become an issue of a growing concern, namely considering, on the one hand, the mothers and infants health conditions and, on the other hand, the scarce healthcare facilities own resources. Thus, a pro-active strategy for problem solving has to be put in place, either to improve the quality-of-service provided or to reduce the inherent financial costs. Therefore, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a case-based problem solving methodology to computing, that caters for the handling of incomplete, unknown, or even contradictory in-formation. The proposed model has been quite accurate in predicting the length of stay (overall accuracy of 84.9%) and by reducing the computational time with values around 21.3%.

A case-based reasoning view of thrombophilia risk

Thrombophilia stands for a genetic or an acquired tendency to hypercoagulable states that increase the risk of venous and arterial thromboses. Indeed, venous thromboembolism is often a chronic illness, mainly in deep venous thrombosis and pulmonary embolism, requiring lifelong prevention strategies. Therefore, it is crucial to identify the cause of the disease, the most appropriate treatment, the length of treatment or prevent a thrombotic recurrence. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a logic programming approach to knowledge representation and reasoning, complemented with a case-based approach to computing. The proposed model has been quite accurate in the assessment of thrombophilia predisposition risk, since the overall accuracy is higher than 90% and sensitivity ranging in the interval [86.5%, 88.1%]. The main strength of the proposed solution is the ability to deal explicitly with incomplete, unknown, or even self-contradictory information.

Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare

The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for disease auto management but prominently by activating the less differentiated caregiver for any specific need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.