A Sancta Sapientia Medieval: enigma e mistério no teatro cristão de Rosvita de Ganderseheim

Within the scope of Literary Studies, theory, criticism, and historiography about the literature produced in the Middle Ages developed considerably from 1940 on, with the works of Ernst Curtius, Mikhail Bakhtin, and Erich Auerbach. In spite of the progress made, some specific aspects remain in the shadow, with incursions which were punctual though meaningful: that is the case of the critic fortunes about women‟s literary production in that period. Rosvita was a canoness and lived in the Benedictine convent of Gandersheim (Germany), in the 10th century A.D. Coming under Terence‟s influence, she wrote theater plays in Latin in which she figuratively presented theological issues in order to spread the Christian doctrine. The martyrdom issue deserved to be put in relief and was the focal point of the play Wisdom, which took place at the time of the Roman emperor Adrian. This paper analyzes that dramatic text discussing, at the end, how the categories of symbol, enigma, allegory, and mystery are organized by the author as expressive resources and structural elements.

Analytical procedures for cadmium determination in facial make-up samples by graphite furnace AAS

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

América latina: as coisas para além delas mesmas

If Plato compared the artist's work a reflection of the things, the contemporary art transcends the projection of things beyond themselves by creating unusual pictures, requiring the reader a posture of meanings' digger to establish the signification. Our object is the mestizo, hybrid and heterogeneous Latin America presented by sensitive eyes of art. We chose the route of ambiguous and poetic language of art, selected three works of Brazilian artist Regina Silveira since the last two decades has sought to un/construction of the image from the shadow, reflection, anamorphic projections, which offers unusual images, poetic visual paradoxes. Art as a mirror labyrinth where the reader/viewer as a wanderer without contemporary "gps" to select territories where will step from a map that he will have to build.

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.