Four different leaf extracts of B. microstachya var. massambabensis were studied to evaluate their antioxidant capacity by using three in vitro methods, with Ginkgo biloba and Trolox® as the standards. With the DPPH and ABTS·+ methods, the antioxidant activity of…

The NblS-RpaB signalling pathway, the most conserved two-component system in cyanobacteria, regulates photosynthesis and acclimatization to a variety of environmental conditions and is involved in negative regulation of high-light-induced genes. However, relevant regulatory details of the NblS-RpaB signalling pathway remain…

En el cantón SMB, la incidencia en embarazos adolescentes, así como la prevalencia de enfermedades de transmisión sexual (ETS) como la cuarta causa de morbilidad registrada, infiere la falta de conocimiento en salud sexual y reproductiva. Conocer qué y cuánto…

2007

A Teoria de Conjuntos Aproximados tem sido utilizada em várias áreas de
pesquisa, principalmente naquelas relacionadas com representação de conhecimento
e aprendizado de máquina. Este trabalho investiga a possibilidade do uso
de funções de pertinência aproximada (uma extensão das funções…

This paper investigates and analyses the process of building a knowledge management (KM) model at Brazil‟s Embrapa (The Brazilian Agricultural Research Corporation). Embrapa is a world class knowledge organization whose mission is to provide feasible solutions for the sustainable development…

Soil amendment with pyrogenic organic matter (PyOM) can sequester carbon, increase mutualistic root symbioses with arbuscular mycorrhizal fungi and nitrogen-fixing rhizobia, and hence improve crop yield. However, there is still a gap in our knowledge about the effects of PyOM…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…

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