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)
This study evaluates further the anti-inflammatory and anti-allergic properties of polygodial, a sesquiterpene extracted from the barks plant Drymis winteri (Winteraceae). Polygodial (12.8-128.1 micromol/kg, i.p.) 30 min prior, inhibited significantly the mouse paw oedema induced by prostaglandin E2, bradykinin (BK) substance P (SP), dextran, platelet(More)
This study analyses the anti-hyperalgesic properties of the hydroalcoholic extract (HE) and the sesquiterpene polygodial isolated from the barks of Drymis winteri (Winteraceae). The HE (10 to 60 mg kg(-1), i.p. or 100 to 600 mg kg(-1), p.o.), 4 h prior, produced significant inhibition of abdominal constrictions caused by i.p. injection of acetic acid,(More)
The barks of Drimys winteri are used in folk medicine as a remedy to treat several diseases, including dolorous processes. Previous pre-clinical experiments carried out in our laboratories revealed that the hydroalcoholic extract of this plant showed anti-allergenic, anti-inflammatory and antinociceptive properties. Such promising results led us to(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 (PR-OWL) improves the Web Ontology Language (OWL) with the ability to treat uncertainty using Multi-Entity Bayesian Networks (MEBN). PR-OWL 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 PR-OWL 2(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 ontologies (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)
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)
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