Gilson Libório Mendes

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Polygodial, a sesquiterpene isolated from the bark of Drymis winteri given systemically, intraplantarly, or by spinal or supraspinal sites, produced antinociception when assessed in both phases of the formalin test and against capsaicin-induced pain. Polygodial, even at high doses, had no antinociceptive or antihyperalgesic effect when assessed in hot-plate(More)
To cope with society's demand for transparency and corruption prevention, the Brazilian Office of the Comptroller General (CGU) has carried out a number of actions, including: awareness campaigns aimed at the private sector; campaigns to educate the public; research initiatives; and regular inspections and audits of municipalities and states. Although CGU(More)
Probabilistic OWL (PROWL) improves the Web Ontology Language (OWL) with the ability to treat uncertainty using Multi-Entity Bayesian Networks (MEBN). PROWL 2 presents a better integration with OWL and its underlying logic, allowing the creation of ontologies with probabilistic and deterministic parts. However, there are scalability problems since PROWL 2 is(More)
This paper presents a case study of machine learning applied to measure the risk of corruption of civil servants using political party affiliation data. Initially, a statistical hypothesis test verified the dependency between corruption and political party affiliation. Then, we constructed datasets with standardization and three different discrimination(More)
Although several languages have been proposed for dealing with uncertainty in the Semantic Web (SW), almost no support has been given to ontological engineers on how to create such probabilistic ontolo-gies (PO). This task of modeling POs has proven to be extremely difficult and hard to replicate. This paper presents the first tool in the world to implement(More)
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