Publicação e avaliação de periódicos científicos: paradoxos da classificação Qualis em Psicologia

Recently, Brazilian scientific production has increased greatly, due to demands for productivity from scientific agencies. However, this high increases requires a more qualified production, since it s essential that publications are relevant and original. In the psychological field, the assessment scientific journals of the CAPES/ANPEPP Commission had a strong effect on the scientific community and raised questions about the chosen evaluation method. Considering this impact, the aim of this research is a meta-analysis on the assessment of Psychological journals by CAPES to update the Qualis database. For this research, Psychology scientific editors (38 questionnaires were applied by e-mail) were consulted, also 5 librarians who work with scientific journals assessment (semi-structured interviews) and 8 members who acted as referees in the CAPES/ANPEPP Commission (open questions were sent by e-mail). The results are shown through 3 analysis: general evaluation of the Qualis process (including the Assessment Committee constitution), evaluation criteria used in the process and the effect of the evaluation on the scientific community (changes on the editing scene included). Some important points emerged: disagreement among different actors about the suitability of this evaluation model; the recognition of the improvement of scientific journals, mainly toward normalization and diffusion; the verification that the model does not point the quality of the journal, i.e., the content of the scientific articles published in the journal; the disagreement with the criteria used, seemed necessary and useful but needed to be discussed and cleared between the scientific community. Despite these points, the scientific journals evaluation still is the main method to assure quality for Psychology publications

Sistemas distribuídos aplicados à compressão e recuperação de imagens

Digital image processing is a field that demands great processing capacity. As such it becomes relevant to implement software that is based on the distribution of the processing into several nodes divided by computers belonging to the same network. Specifically discussed in this work are distributed algorithms of compression and expansion of images using the discrete cosine transform. The results show that the savings in processing time obtained due to the parallel algorithms in comparison to its sequential equivalents is a function that depends on the resolution of the image and the complexity of the involved calculation; that is efficiency is greater the longer the processing period is in terms of the time involved for the communication between the network points.

Ferramentas quimiométricas aplicadas a classificação de amostras de leite em pó e quantificação de proteínas

In this work we used chemometric tools to classify and quantify the protein content in samples of milk powder. We applied the NIR diffuse reflectance spectroscopy combined with multivariate techniques. First, we carried out an exploratory method of samples by principal component analysis (PCA), then the classification of independent modeling of class analogy (SIMCA). Thus it became possible to classify the samples that were grouped by similarities in their composition. Finally, the techniques of partial least squares regression (PLS) and principal components regression (PCR) allowed the quantification of protein content in samples of milk powder, compared with the Kjeldahl reference method. A total of 53 samples of milk powder sold in the metropolitan areas of Natal, Salvador and Rio de Janeiro were acquired for analysis, in which after pre-treatment data, there were four models, which were employed for classification and quantification of samples. The methods employed after being assessed and validated showed good performance, good accuracy and reliability of the results, showing that the NIR technique can be a non invasive technique, since it produces no waste and saves time in analyzing the samples

Sistema de agentes poligínicos para esteganálise de imagens digitais

In this work, we propose a multi agent system for digital image steganalysis, based on the poliginic bees model. Such approach aims to solve the problem of automatic steganalysis for digital media, with a case study on digital images. The system architecture was designed not only to detect if a file is suspicious of covering a hidden message, as well to extract the hidden message or information regarding it. Several experiments were performed whose results confirm a substantial enhancement (from 67% to 82% success rate) by using the multi-agent approach, fact not observed in traditional systems. An ongoing application using the technique is the detection of anomalies in digital data produced by sensors that capture brain emissions in little animals. The detection of such anomalies can be used to prove theories and evidences of imagery completion during sleep provided by the brain in visual cortex areas

Organização temática da doutrina jurídica: elementos metodológicos para uma proposta de extensão da classificação decimal de direito

Specificity and updating of the bibliographic classification systems can be considered a determinant factor to the quality of organization and representation of the legal documentation. In the specific case of Brazil, the Brazilian Law Decimal Classification, does not foresee specific subdivisions for Labor Law procedures. In this sense, it carries out a terminological work based on table of contents of doctrinal Labor Law books of the mentioned area, which are compared to the conceptual structure of the Brazilian Law Decimal Classification. As a result, it presents an extension proposal for Labor Procedures as well as a methodological background for further extensions and updates.

Estudo comparativo da classificação do grau de perda auditiva em idosos institucionalizados

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

Construção de mosaicos georreferenciados usando imagens aéreas de pequeno formato

In this work we propose a technique that uses uncontrolled small format aerial images, or SFAI, and stereohotogrammetry techniques to construct georeferenced mosaics. Images are obtained using a simple digital camera coupled with a radio controlled (RC) helicopter. Techniques for removing common distortions are applied and the relative orientation of the models are recovered using projective geometry. Ground truth points are used to get absolute orientation, plus a definition of scale and a coordinate system which relates image measures to the ground. The mosaic is read into a GIS system, providing useful information to different types of users, such as researchers, governmental agencies, employees, fishermen and tourism enterprises. Results are reported, illustrating the applicability of the system. The main contribution is the generation of georeferenced mosaics using SFAIs, which have not yet broadly explored in cartography projects. The proposed architecture presents a viable and much less expensive solution, when compared to systems using controlled pictures

Utilizando mapas de conectividade fuzzy no desenvolvimento de algoritmos reparadores de imagens binárias 3D

A 3D binary image is considered well-composed if, and only if, the union of the faces shared by the foreground and background voxels of the image is a surface in R3. Wellcomposed images have some desirable topological properties, which allow us to simplify and optimize algorithms that are widely used in computer graphics, computer vision and image processing. These advantages have fostered the development of algorithms to repair bi-dimensional (2D) and three-dimensional (3D) images that are not well-composed. These algorithms are known as repairing algorithms. In this dissertation, we propose two repairing algorithms, one randomized and one deterministic. Both algorithms are capable of making topological repairs in 3D binary images, producing well-composed images similar to the original images. The key idea behind both algorithms is to iteratively change the assigned color of some points in the input image from 0 (background)to 1 (foreground) until the image becomes well-composed. The points whose colors are changed by the algorithms are chosen according to their values in the fuzzy connectivity map resulting from the image segmentation process. The use of the fuzzy connectivity map ensures that a subset of points chosen by the algorithm at any given iteration is the one with the least affinity with the background among all possible choices

RR3D: Uma solução para renderização remota de imagens médicas tridimensionais

The visualization of three-dimensional(3D)images is increasigly being sed in the area of medicine, helping physicians diagnose desease. the advances achived in scaners esed for acquisition of these 3d exames, such as computerized tumography(CT) and Magnetic Resonance imaging (MRI), enable the generation of images with higher resolutions, thus, generating files with much larger sizes. Currently, the images of computationally expensive one, and demanding the use of a righ and computer for such task. The direct remote acess of these images thruogh the internet is not efficient also, since all images have to be trasferred to the user´s equipment before the 3D visualization process ca start. with these problems in mind, this work proposes and analyses a solution for the remote redering of 3D medical images, called Remote Rendering (RR3D). In RR3D, the whole hedering process is pefomed a server or a cluster of servers, with high computational power, and only the resulting image is tranferred to the client, still allowing the client to peform operations such as rotations, zoom, etc. the solution was developed using web services written in java and an architecture that uses the scientific visualization packcage paraview, the framework paraviewWeb and the PACS server DCM4CHEE.The solution was tested with two scenarios where the rendering process was performed by a sever with graphics hadwere (GPU) and by a server without GPUs. In the scenarios without GPUs, the soluction was executed in parallel with several number of cores (processing units)dedicated to it. In order to compare our solution to order medical visualization application, a third scenario was esed in the rendering process, was done locally. In all tree scenarios, the solution was tested for different network speeds. The solution solved satisfactorily the problem with the delay in the transfer of the DICOM files, while alowing the use of low and computers as client for visualizing the exams even, tablets and smart phones

Uso de confiabilidade na rotulação de exemplos em problemas de classificação multirrótulo com aprendizado semissupervisionado

The techniques of Machine Learning are applied in classification tasks to acquire knowledge through a set of data or information. Some learning methods proposed in literature are methods based on semissupervised learning; this is represented by small percentage of labeled data (supervised learning) combined with a quantity of label and non-labeled examples (unsupervised learning) during the training phase, which reduces, therefore, the need for a large quantity of labeled instances when only small dataset of labeled instances is available for training. A commom problem in semi-supervised learning is as random selection of instances, since most of paper use a random selection technique which can cause a negative impact. Much of machine learning methods treat single-label problems, in other words, problems where a given set of data are associated with a single class; however, through the requirement existent to classify data in a lot of domain, or more than one class, this classification as called multi-label classification. This work presents an experimental analysis of the results obtained using semissupervised learning in troubles of multi-label classification using reliability parameter as an aid in the classification data. Thus, the use of techniques of semissupervised learning and besides methods of multi-label classification, were essential to show the results

Segmentação fuzzy de imagens e vídeos

Image segmentation is the process of subdiving an image into constituent regions or objects that have similar features. In video segmentation, more than subdividing the frames in object that have similar features, there is a consistency requirement among segmentations of successive frames of the video. Fuzzy segmentation is a region growing technique that assigns to each element in an image (which may have been corrupted by noise and/or shading) a grade of membership between 0 and 1 to an object. In this work we present an application that uses a fuzzy segmentation algorithm to identify and select particles in micrographs and an extension of the algorithm to perform video segmentation. Here, we treat a video shot is treated as a three-dimensional volume with different z slices being occupied by different frames of the video shot. The volume is interactively segmented based on selected seed elements, that will determine the affinity functions based on their motion and color properties. The color information can be extracted from a specific color space or from three channels of a set of color models that are selected based on the correlation of the information from all channels. The motion information is provided into the form of dense optical flows maps. Finally, segmentation of real and synthetic videos and their application in a non-photorealistic rendering (NPR) toll are presented

Renderizações não fotorealísticas para estilização de imagens e vídeos usando areia colorida

Non-Photorealisitc Rendering (NPR) is a class of techniques that aims to reproduce artistic techniques, trying to express feelings and moods on the rendered scenes, giving an aspect of that they had been made "by hand". Another way of defining NPR is that it is the processing of scenes, images or videos into artwork, generating scenes, images or videos that can have the visual appeal of pieces of art, expressing the visual and emotional characteristics of artistic styles. This dissertation presents a new method of NPR for stylization of images and videos, based on a typical artistic expression of the Northeast region of Brazil, that uses colored sand to compose landscape images on the inner surface of glass bottles. This method is comprised by one technique for generating 2D procedural textures of sand, and two techniques that mimic effects created by the artists using their tools. It also presents a method for generating 21 2D animations in sandbox from the stylized video. The temporal coherence within these stylized videos can be enforced on individual objects with the aid of a video segmentation algorithm. The present techniques in this work were used on stylization of synthetic and real videos, something close to impossible to be produced by artist in real life

Lembranças de alunos, imagens de professores: narrativas e diálogos sobre a formação médica

Se trata de una incursión histórica por el pensamiento y por la enseñanza médica, discutiéndose la formación médica de manera contextualizada, con el objetivo de comprenderla para interpretarla a través del recuerdo que haya sido fijado por los alumnos. Se dará un enfoque a la mediación pedagógica de esa formación, intentando proporcionar el diálogo entre la historia social de la Medicina y los recuerdos de alumnos, ubicándolas en un contexto histórico-social y cultural, al mismo tiempo en que se ha buscado sujetar las imágenes de los profesores que hayan dejado huellas significativas en la vida de los alumnos, en cuestiones profesionales, sociales y culturales. Se configura, asimismo, una memoria de la formación médica de la Faculdade de Medicina da Universidade Federal do Rio Grande do Norte (UFRN), desde su creación en el 1955, como Faculdade de Medicina de Natal, hasta el 1963, como Faculdade de Medicina da UFRN. Los recuerdos han sido recolectados por medio de entrevistas temáticas con alumnos ya formados de las tres primeras turmas concluyentes, de los años del 1961, 1962 y 1963, de la referida Facultad y fueron interpretadas utilizándose la cartografía como técnica que envuelve la construcción de cuadros interpretativos, teniendo como unidad de análisis las palabras representativas de los elementos constituyentes de la mediación pedagógica, sacadas de las narrativas de los sujetos, que cargan también las imágenes de los profesores que han compuesto dicho diálogo por sus contribuciones para la existencia del saber y hacer de la educación médica en Natal/RN. Aún se comprende que esa Facultad fue creada en un momento histórico-social y cultural en que Brasil y el mundo todavía intentaban encontrar nuevos caminos, después de turbulencias causadas por la Segunda Guerra Mundial, y la intelectualidad natalense visualizaba el encaje de la ciudad en los parámetros de la modernidad. El currículum implantado era técnico/racional, pero al ser interpretado por la acción, a través de la reconstrucción de los recuerdos de los alumnos, en los vestigios de la mediación pedagógica de la formación médica y en las imágenes de los profesores todavía vivas en sus memorias, se vuelve posible entender que a esos alumnos ha sido enseñado: un saber relacional que permitía el diálogo, la transmisión de experiencia y el compromiso médico con vista a un atendimiento a la populación en primer lugar, siguiéndole el sentimiento que fomentaba deseos de ayuda al próximo, siendo los propios profesores el ejemplo, conformándose, así, con un saber contextual, agregado a una participación política y de responsabilidad ética para con la sociedad

O poema e a canção em as coisas, de Arnaldo Antunes: imagens da primeiridade

Ce travail a pour but d analyser un corpus de six textes hybrides, que nous classons comme des poèmes-chansons/ poèmes-chantés à cause de leur double présence dans deux systèmes sémiotiques différents. Le premier, la littérature, ou plus spécifiquement la poésie, a comme support le livre As Coisas [Les Choses], d Arnaldo Antunes et l autre, la chanson, est enregistré dans les disques du même auteur. Notre travail lance un regard sur ce corpus, en essayant de vérifier un aspect recourrent dans l oeuvre d Arnaldo Antunes qui est la présence da priméité, catégorie theórique développée par Charles Sanders Peirce. Au-delà de l observation de cet aspect sémiothique, nous ferons une discussion sur la chanson populaire, et ses rapports avec la poésie et par conséquent avec la Litterature. La théorie sémiothique s appuyera sur deux piliers : En ce qui concerne l étude de la priméité, nous travaillerons avec les théories de Peirce, mais en nous servant aussi des ouvrages de Lúcia Santaella, Winfried Nöth, Júlio Plaza et Décio Pignatari ; Dans l autre voie, pour ce qui concerne l analyse des chansons, nous utiliserons la théorie de Luiz Tatit, fondée sur la sémiothique de Algirdas Julien Greimas. Tatit trace une méthode d analyse, où il est possible d analyser une chanson en exploitant et le texte et la mélodie, ce qui permet une meilleure compréhension de l étude des poèmes-chansons et ses variations. Comme support pour la discussion sur la musique, nous nous servirons des théories de José Miguel Wisnik, Claude Lévi-Strauss, Roland Barthes et Jean Fisette

Prevalência, classificação e características do refluxo cecoileal diagnosticado pelo enema opaco

OBJETIVO: Verificar, retrospectivamente, a prevalência do refluxo cecoileal diagnosticado pelo enema opaco, caracterizar sua distribuição etária e sexual e classificá-lo conforme o grau de intensidade. MATERIAIS E MÉTODOS: Foram revistos 715 enemas opacos, incluindo 268 homens e 447 mulheres com idade média de 54 anos. RESULTADOS: Dos 715 casos examinados, 46,5% apresentaram refluxo cecoileal, sendo 45% do tipo leve, 37,5% do tipo moderado e 17,5% do tipo severo. Refluxo cecoileal esteve presente em 48,3% das mulheres e em 43,6% dos homens. A distribuição percentual do refluxo cecoileal por faixa etária mostrou 46,1% nos indivíduos com menos de 21 anos, 42,1% nos indivíduos entre 21-40 anos, 49,8% nos indivíduos entre 41-60 anos e 44,7% nos indivíduos com mais de 60 anos. CONCLUSÃO: Refluxo cecoileal foi achado relativamente freqüente em nosso material, correspondendo os graus moderado e severo a 25% do material examinado. Aparentemente, não há associação entre seu surgimento e sexo ou idade. A etiopatogenia e conseqüências do refluxo cecoileal são ainda pouco conhecidas. Alguns estudos sugerem que o comprometimento de componentes da junção ileocecal, como os ligamentos, pode favorecer seu aparecimento. Entre as conseqüências prováveis, incluem-se a contaminação e alteração motora ileais, resultantes do material refluído do ceco.