Bioética-sociobiologia. Neologismos oportunos? Interface da tecnociência com as ciências humanas e sociais

The article focuses on the creation of the neologisms Bioethics and Sociobiology, analyzing these two words which due to their composition evoke relations between biological sciences and human studies (ethics and sociology). Highlights that these two neologisms, in fact, were born already loaded by deep meanings, but in different senses. Emphasizes the importance of bioethics in the integration of scientific and humanistic cultures, beyond university statuary regulations. Concludes that Bioethics conveys also a suggestive message about how to create mechanisms and conditions for facing the challenges which scientific advancements, in their inexorability, present.

ECG arrhythmia classification based on optimum-path forest

An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists of steps such as preprocessing, segmentation, feature extraction and classification aiming to detect cardiac arrhythmias (i.e.; cardiac rhythm abnormalities). Aiming to made a fast and accurate cardiac arrhythmia signal classification process, we apply and analyze a recent and robust supervised graph-based pattern recognition technique, the optimum-path forest (OPF) classifier. To the best of our knowledge, it is the first time that OPF classifier is used to the ECG heartbeat signal classification task. We then compare the performance (in terms of training and testing time, accuracy, specificity, and sensitivity) of the OPF classifier to the ones of other three well-known expert system classifiers, i.e.; support vector machine (SVM), Bayesian and multilayer artificial neural network (MLP), using features extracted from six main approaches considered in literature for ECG arrhythmia analysis. In our experiments, we use the MIT-BIH Arrhythmia Database and the evaluation protocol recommended by The Association for the Advancement of Medical Instrumentation. A discussion on the obtained results shows that OPF classifier presents a robust performance, i.e.; there is no need for parameter setup, as well as a high accuracy at an extremely low computational cost. Moreover, in average, the OPF classifier yielded greater performance than the MLP and SVM classifiers in terms of classification time and accuracy, and to produce quite similar performance to the Bayesian classifier, showing to be a promising technique for ECG signal analysis. © 2012 Elsevier Ltd. All rights reserved.

OPF-MRF: Optimum-path forest and Markov random fields for contextual-based image classification

Some machine learning methods do not exploit contextual information in the process of discovering, describing and recognizing patterns. However, spatial/temporal neighboring samples are likely to have same behavior. Here, we propose an approach which unifies a supervised learning algorithm - namely Optimum-Path Forest - together with a Markov Random Field in order to build a prior model holding a spatial smoothness assumption, which takes into account the contextual information for classification purposes. We show its robustness for brain tissue classification over some images of the well-known dataset IBSR. © 2013 Springer-Verlag.

A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest

Besides optimizing classifier predictive performance and addressing the curse of the dimensionality problem, feature selection techniques support a classification model as simple as possible. In this paper, we present a wrapper feature selection approach based on Bat Algorithm (BA) and Optimum-Path Forest (OPF), in which we model the problem of feature selection as an binary-based optimization technique, guided by BA using the OPF accuracy over a validating set as the fitness function to be maximized. Moreover, we present a methodology to better estimate the quality of the reduced feature set. Experiments conducted over six public datasets demonstrated that the proposed approach provides statistically significant more compact sets and, in some cases, it can indeed improve the classification effectiveness. © 2013 Elsevier Ltd. All rights reserved.

O ethos na linguagem da criança: um caminho para a identidade enunciativa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Expressando-se: uma interface do ensino de artes visuais com a musicalidade

Pós-graduação em Artes - IA

Interface Gráfica para o planejamento da expansão da transmissão de energia elétrica

Pós-graduação em Engenharia Elétrica - FEIS

Interface gráfica no contexto de teoria dos jogos sob a forma de Java Apples

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Investigação de propriedades de filmes finos de Al2O3 para aplicação em dispositivos eletrônicos

Pós-graduação em Ciência e Tecnologia de Materiais - FC

Repórter-cronista: jornalismo e literatura na interface de João Antônio com Lima Barreto

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

Estudo das propriedades mecânicas da interface adesiva criada por sistemas adesivos convencional e autocondicionante, associados ou não ao laser Nd:YAG, utilizando a técnica da nanoindentação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da resistência ao cisalhamento de reparos de resina: interface tratada com laser de Er Yag, ponta diamantada e jato abrasivo com óxido de alumínio

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo da interface titânio/porcelana, com três porcelanas de ultra baixa fusão, empregando-se microscopia eletrônica de varredura e dilatometria

Pós-graduação em Ciências Odontológicas - FOAR

Características da interface dos sites de notícias: um estudo do design e da usabilidade de jornais impressos e eletrônicos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Interface antropométrica digital: parâmetros antropométricos de populações extremas

Pós-graduação em Design - FAAC