Um piloto de tradução alinhada e anotação em árvore sintática de dependência do grego antigo (AGDT 1.0) pela plataforma Alpheios.net com passagens de Heródoto

This study was developed based on Classical Greek Language classes, reading and translation of texts. There is also the presence of computer elements due to use of Alpheios digital platform. As an example of a larger proposal, this proposal aims at produce translation aligned with the Portuguese and syntactic annotation with the production of the Greek dependency trees. To achieve the goal, we chose Chapter 34, Volume 1 of The Histories from Herodotus. The methods adopted contain a list and description of the instruments and the morphological categories from the guide (manual rules of syntax tree). The procedures adopted are the description of the alignment process and of syntactic annotation. As study results, we have the production line translation and the syntactic annotation of the excerpt 1.34. It was concluded that the study of this text is relevant, because the lexical density of Herodotus it's interesting at future researchers and students that will use the digital platform Alpheios

Uma amostra do tratamento concedido às classes de palavras na tradição gramatical do português

Within a broader study of the apparatus governing the establishment of word classes in grammatical tradition, this study is centered on examining the treatment of the (sub)class of pronouns in two grammar guide groups from different periods. The collation was especially oriented by the existing general notion of a very strong link of the first grammarians with logic and, as a counterpart, of an insertion of the most recent works in the universe of a linguistic science and, at the same time, in the universe of a parameterization limiting actions and decisions.

Estudo mecânico comparativo da estabilização de fratura ilíaca com dois tipos de implantes (parafusos com placa de compressão dinâmica e parafusos associados ao polimetilmetacrilato) em hemipelves caninas sintéticas

Pós-graduação em Cirurgia Veterinária - FCAV

Aprendizagem após via exclusão e formação de classes de equivalência em crianças com deficiência auditiva e implante coclear (aceito condicionalmente)

Studies on learning by exclusion have shown that participants tend to select a new object or a new figure when a new word is dictated, rejecting the objects and figures they already know or that were associated with other words. This study aimed at training conditional relations between dictated word-picture and between picture-printed word, by exclusion, and verify whether this training would be a condition for the emergence of relations between dictated word-printed word, printed word-figure, picture naming and reading. We also investigated whether responding to the words dictated with a female voice generalized to other frequencies such as male and child voices. Participants were five children between five and nine years old, with acute neurosensorial bilateral hearing impairment, users of cochlear implant Nucleus 24k®. They were exposed, individually, to tasks that consisted in selecting a comparison stimulus (either picture or printed word) related to the sample (either dictated word or picture). Words with lowest scores on a pre-test were used. The relations between dictated word-figure (AB) and figure-printed word (BC) were taught by exclusion. We assessed the emergence of the relations between dictated and printed words (AC), printed word and picture (CB), male and child voices generalization (A’C and A’’C), naming (BD) and reading (CD). All the children responded by exclusion and learned relations AB and BC, showing receptive vocabulary; AC and CB relations also were learned, consistent with class formation. Responding generalized to male and child voices, but data on naming were not systematic. Learning by exclusion was similar to that of children with typical hearing and these results describe some conditions that can improve receptive verbal repertoire.

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.

A dinâmica das classes sociais no pensamento de Florestan Fernandes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo acelerado de estabilidade de hiclato de doxiciclina em comprimidos

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