Técnicas y lenguajes documentales por el brasileño Eduardo Coutinho

1. Introduction. Eduardo Coutinho represents the development and innovation of the Brazilian documentary. His career is still marked by a novel technique of interviews with participants also mix documentary with other communication techniques, especially fiction and journalism. This article provides a recovery path Coutinho and his major works. 2. Method. A literature review and analysis of filmic discourse is applied to understand the history and languages ​​adopted by Coutinho during his career as a documentary. 3. Who was. Before acting as a documentary, Coutinho has studied law but always acted in theater and visual arts. This discussion presents Coutinho before documentaries. 4. Frames by Eduardo Coutinho. The main works of the documentary are presented, as well as its important features that transform the filmography of director in one of the most important in Brazil. 5. Conclusions. We conclude that Eduardo Coutinho has left a gap in the Brazilian documentary, since his death in 2014. However, their contributions are transformed the genre, as the results presented in the article.

Uma poética da tensão: as conflituosas faces na modernidade em Álvaro de Campos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Anomalias e números fermiônicos induzidos em grafeno com deformações

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A plagiotropia como procedimento de estudo relacional da criação, crítica e método de tradução de Haroldo de Campos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização da distribuição física dos dolomitos do membro Búzios no Campo de Badejo - Bacia de Campos

In the region of Badejo oil Ffeld (Campos Basin) lies an Lower Albian dolomitic layer that shows reservoir rock and seal conditions, among others and, it is occasionally karstified. This work applies geostatistical techniques of ordinary and indicatior kriging, in an attempt to determine a method that assists the analysis of different scenarios offered for petroleum drilling from a quantitative point of view this fact is justified, because there are different visions and strategies that would be adopted under different dolomite conditions (stable - low porosity and high density; reservoir - high porosity and medium density; instable - high porosity and low dentisty). The main objective is a methodological introduction that has not been tested in dolomites before aiming to characterize the distribution of the three conditions described above by ordinary and indicatior kriging, which was based on the obtained data from the dolomite layer identification through well logs interpretation and correlation, followed by seismic interpretation. In addition, it was generated structural contour maps, based on 2D and 3D seismic data interpretation, and then, seismic attributes maps were calculated, in order to transform them into pseudo-density maps, i.e., maps that correlate the density values with the attribute values. As primary results, structural contour maps and seismic attributes were obtained and ordinary and indicatior kriging maps were done, on which it is possible to interpret the distribution of the main reservoir and risk probability for drilling of exploration wells obtaining trends N35E and N10W direction for areas of stability or reservoir levels, while the central part of the map presents a higher risk for loss of drilling fluid. The cut-off values levels were based on the values of first and third quartiles of cumulative histogram (instable and stable zones, respectively), as well as the reservoir level was set as the interval...

Análise paleopalinológica do Albiano (Cretáceo inferior) da Bacia de Campos, com ênfase no estudo de dinoflagelados

Pós-graduação em Geociências e Meio Ambiente - IGCE

Caracterização espacial da atividade apícola na microrregião de Campos do Jordão, São Paulo, Brasil

This study aimed to generate a database related to the spatial distribution of hives and productivity of regional producers, through the Geographic Information System (GIS) using the Global Positioning System. To build the database of geographical information (GIS) software for processing of geo-referenced information was used. The microregion (4 municipalities and 54 beekeepers) shows concentrations (pockets) of beekeepers and hives in certain locations. Further studies are needed on the characteristics of the local flora for bees to infer about possible saturation of floral resources, since no differences were observed between honey production in apiaries isolated or inserted into the pockets. The GIS proved to be an efficient tool for monitoring the location and origin of regional production, and for planning the distribution of hives and apiaries and so, contribute to a better use of flora and improvement of productivity of the apiaries.

Utilização dos parâmetros físico-químicos e redes neurais artificiais na identificação dos méis de abelhas (Apis mellifera L.) produzidos no verão e inverno na microrregião de Campos de Jordão, São Paulo

The objective of this work was to typify, through physicochemical parameters, honey from Campos do Jordão’s microrregion, and verify how samples are grouped in accordance with the climatic production seasonality (summer and winter). It were assessed 30 samples of honey from beekeepers located in the cities of Monteiro Lobato, Campos do Jordão, Santo Antonio do Pinhal e São Bento do Sapucaí-SP, regarding both periods of honey production (November to February; July to September, during 2007 and 2008; n = 30). Samples were submitted to physicochemical analysis of total acidity, pH, humidity, water activity, density, aminoacids, ashes, color and electrical conductivity, identifying physicochemical standards of honey samples from both periods of production. Next, we carried out a cluster analysis of data using k-means algorithm, which grouped the samples into two classes (summer and winter). Thus, there was a supervised training of an Artificial Neural Network (ANN) using backpropagation algorithm. According to the analysis, the knowledge gained through the ANN classified the samples with 80% accuracy. It was observed that the ANNs have proved an effective tool to group samples of honey of the region of Campos do Jordao according to their physicochemical characteristics, depending on the different production periods.

Sobre a estabilidade estrutural e regularizações de campos de vetores descontínuos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)