As possibilidades de uso de ferramentas da informática: software para análise de dados qualitativos e ISD

The objective of the present article is to identify and discuss the possibilities of using qualitative data analysis software in the framework of procedures proposed by SDI (socio-discursive interactionism), emphasizing free distribuited software or free versions of commercial software. A literature review of software for qualitative data analysis in the area of social sciences and humanities, focusing on language studies is presented. Some tools, such as: Wef-tQDA, MLCT, Yoshikoder and Tropes are examined with their respective features and functions. The software called Tropes is examined in more detail because of its particular relation with language and semantic analysis, as well as its embeded classification of linguistic elements such as, types of verbs, adjectives, modalizations, etc. Although trying to completely automate an SDI based analysis is not feasible, the programs appear to be powerful helpers in analyzing specific questions. Still, it seems important to be familiar with software options and use different applications in order to obtain a more diversified vision of the data. It is up to the researcher to be critical of the analysis provided by the machine.

Estruturação do conhecimento e relações semânticas: uma ontologia para o domínio da naonociência e nanotecnologia

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

Desenvolvimento de um programa computacional para classificação do uso da terra em imagens CBERS 2

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

A simbologia dos animais em expressões idiomáticas inglês-português: uma proposta lexicográfica

Pós-graduação em Estudos Linguísticos - IBILCE

Scan for MARC: princípios sintáticos e semânticos de registros bibliográficos aplicados à conversão de dados analógicos para o formato MARC 21 bibliográfico

Pós-graduação em Ciência da Informação - FFC

Sintaxe e semântica de registros bibliográficos: princípios para a conversão de registros analógicos para o formato MARC21 bibliográfico: Scan for MARC

The research presents as its central theme the study of the bibliographic record conversion process. The object of study is framed by an understanding of analogic bibliographic record conversion to the Bibliograhpic MARC21 format, based on a syntactic and semantic analysis of records described according to descriptive metadata structure standards and content standards. The objective of this research the objective is to develop a theoretical-conceptual model of syntactic and semantic of bibliographic records, from Linguistic studies of Saussure and Hjelmslev of manifestations of human language, which subsidizes the development of a computacional interpreter, focused to the conversion of bibliographic records to MARC21 Bibliographic Format, which can be confirmed both the semantic value of the informational resource represented as the reliability of the representation. Given the aforementioned objectives, the methodological trajectory of the research is based on the qualitative approach, of an exploratory, descriptive and experimental nature, and with recourse to the literature. Contributions on the theoretical plane can be envisaged regarding the development of questions inherent to the syntactic and semantic aspects of bibliographic records, and by involving, at the same time, interdisciplinarity between Information Science, Computer Science and Linguistics. Contributions to the practical field are identified by the fact the study covers the development of the Scan for MARC, a computational interpreter that can be adopted by any institution that wishes to use the conversion procedure for bibliographic record databases to the MARC21 Bibliographic Format from description and visualization schemes of bibliographic records (AACR2r and ISBD), an aspect of the research which is considered innovative.

Framework para integração semântica de dados geoespaciais: integração de dados geológicos

Pós-graduação em Ciência da Computação - IBILCE

Analysis of the Priestley-Taylor alpha parameter for a bean crop

This work deals with the Priestley-Taylor model for evapotranspiration in different grown stages of a bean crop. Priestley and Taylor derived a practical Formulation for energy partitioning between the sensible and latent heat fluxes through the a parameter. Bowen ratio energy balance (BREB) was carried out for daily sensible and latent heat flux estimations in three different crop stages. Mean daily values of Priestley-Taylor a parameter were determined for eleven days during the crop cycle. Diurnal variation patterns of a are presented for the growing, flowering and graining periods. The mean values of 1.13 +/- 0.33, 1.26 +/- 0.74, 1.22 +/- 0.55 were obtained for a day in the growing, in the flowering and for graining periods, respectively. Eleven days values of a are shown and gave a mean value of 1.23 +/- 0.10 which agree on the reported literature.

The Poisson-exponential regression model under different latent activation schemes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Analysis of the Priestley-Taylor α parameter for a bean crop

This work deals with the Priestley-Taylor model for evapotranspiration in different grown stages of a bean crop. Priestley and Taylor derived a practical formulation for energy partitioning between the sensible and latent heat fluxes through the α parameter. Bowen ratio energy balance (BREB) was carried out for daily sensible and latent heat flux estimations in three different crop stages. Mean daily values of Priestley-Taylor α parameter were determined for eleven days during the crop cycle. Diurnal variation patterns of α are presented for the growing, flowering and graining periods. The mean values of 1.13 ± 0.33, 1.26 ± 0.74, 1.22 ± 0.55 were obtained for a day in the growing, in the flowering and for graining periods, respectively. Eleven days values of α are shown and gave a mean value of 1.23 ± 0.10 which agree on the reported literature.

Automatic segmentation of latent fingerprints

Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting criminals by law enforcement agencies. However, compared to plain and rolled prints, latent fingerprints usually have poor quality of ridge impressions with small fingerprint area, and contain large overlap between the foreground area (friction ridge pattern) and structured or random noise in the background. Accordingly, latent fingerprint segmentation is a difficult problem. In this paper, we propose a latent fingerprint segmentation algorithm whose goal is to separate the fingerprint region (region of interest) from background. Our algorithm utilizes both ridge orientation and frequency features. The orientation tensor is used to obtain the symmetric patterns of fingerprint ridge orientation, and local Fourier analysis method is used to estimate the local ridge frequency of the latent fingerprint. Candidate fingerprint (foreground) regions are obtained for each feature type; an intersection of regions from orientation and frequency features localizes the true latent fingerprint regions. To verify the viability of the proposed segmentation algorithm, we evaluated the segmentation results in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. © 2012 IEEE.

The perfective aspect in english and portuguese: a constrative study on semantic basis

An exam of the occurrences of the PRESENT PERFECT in Englishwas made in such a way as to establish the prevailing semantic features ofthis verbal form. I t was verified up to what an extent the meaning of thePERFECTIVE thus characterized is expressed in the corresponding Portuguesesentences in the PRETÉRITO PERFEITO. It was found that in Portuguesethe verbal inflexion itself characterizes in a much smaller degree the PERFECTIVE ASPECT.

Estimation of the diagnostic accuracy of the glyco-C and US9 gene-based polymerase chain reaction technique for the detection of bovine Herpesvirus type 5 DNA in decomposed brain suspension from a slaughter house using Bayesian analysis, Brazil

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