Redistribuição e reconhecimento: o caso das políticas sociais nos municípios de Natal e Belo horizonte

This research refers to a comparative study of social policies from the cities of Natal (RN) and Belo Horizonte (MG). Understanding that the demands for social justice in contemporary societies require both economic redistribution, and cultural recognition, we set out to investigate, according to Nancy Fraser s formulations (1996, 2005a, 2005b, 2007), how these two municipalities incorporate these dimensions in their social programs.

Antigos sujeitos, novos direitos: as relações homoafetivas estáveis e o direito de reconhecimento

Esta dissertação é um estudo sobre as representações e práticas sociais relativas à construção da conjugalidade homoafetiva e o direito de reconhecimento. Nesse contexto, são analisados os embates ideológicos decorrentes das tentativas de redefinição das representações e práticas sociais relativas à família e a conjugalidade, em sua feição heterocêntrica, a partir das disputas em torno do reconhecimento social e jurídico das uniões homoafetivas, desencadeadas no contexto da sociedade brasileira, a partir da apresentação, no Congresso Nacional, do Projeto de Lei n° 1.151/95, da Deputada Marta Suplicy, que disciplina a união civil entre pessoas do mesmo sexo

Nas veredas por reconhecimento social: o papel da educação na desconstrução da inferioridade dos sujeitos do campo.

En la travesía por nuevos caminos en la investigación académica, se nos presenta el desafío de investigar alternativas que muestran un horizonte de posibilidades concretas de una educación pautada en la dinámica de organizaciones y movimientos que participan de la lucha por un proyecto de reconocimiento social y desconstrucción de la inferioridad de los sujetos del campo. El escenario de participación de la vida de los que integran la investigación como investigados e investigador es el Territorio Sertão do Apodi, localizado en el estado de Rio Grande do Norte, cuya elección empírica fue motivada por la fuerte presencia y participación de movimientos sociales en el campo. La propuesta es investigar posibilidades y desafíos de prácticas y acciones educativas tanto dentro como fuera de la escuela que buscan reconocer y dar visibilidad a los sujetos sociales del campo en el referido Territorio. Así, será objeto de nuestra investigación el espacio de tomada de decisiones y de organización de institucionalidad territorial a través de la actuación del Colegiado del Territorio del Sertão do Apodi y de las prácticas educativas resultantes de las demandas de las acciones territoriales, tanto escolares como no escolares. La literatura en la cual sedimentamos las bases teóricas fundamentales de esta investigación es la de Axel Honneth (2001; 2003), asociada al pensamiento de Boaventura Santos (2003; 2008a), Jesse Souza (2003, 2006) y Milton Santos (2006, 2007, 2009). Vale destacar, aún, la interlocución con la narrativa de Guimarães Rosa, a través de la obra Grande Sertão: Veredas, sobrepasando todo el conjunto del texto. Con esta intención, procuramos defender que una perspectiva de educación destinada a los sujetos del campo debe pautarse en la superación de la condición de invisibilidad social, a que estos están sometidos, por medio de una postura de reconocimiento social que se afirma en el ejercicio de la democracia participativa y en la reparación de desigualdades sociales. Para esto, son muchos los desafíos y las vulnerabilidades de este proceso; y desde ahí, abriremos caminos para lograr el reconocimiento del papel de la educación y el fortalecimiento de las identidades sociales, al situar al sujeto socialmente, permitiendo que se localice en un determinado grupo social, frente a los saberes construidos en la sociedad

Antonin artaud: a crueldade pelos desenhos e autorretratos

Antonin Artaud, a name that reminds us of areas ranging from theater to poetry, linguistics to psychoanalysis, is a multipurpose name that transits as poet, painter, writer, actor, screenwriter, playwright and theater director. Artaud s route is raw material for researchers of various hues interested in a life and work that allows panning in different fields of knowledge. It raises the question of language and manipulation of signals in terms of magical forces and the relationship maintained through them with the cosmos and the divine. Artaud searches through a language of signals, gestures and objects that express themselves by objective forms and the use of words as solid objects. For him, the language of words must give way to the language of signals, whose objective aspect is what strikes us most immediately. Our work indicates the possibility of realization and recognition of the aesthetic of cruelty present in the writing drawings of artaudian s work, realizing thus, that art as a record of culture hence as double of life allows us a more critical and transforming look to the society, thinking about the aesthetics of cruelty as Artaud proposes and thinks cruelty: as appetite for life. Our dialogue held during the construction of this journey has the company, besides the one of Antonin Artaud, other authors such as Jacques Derrida, Gilles Deleuze and Felix Guatarri, among others which, during the hike and framing of this route help us to think about the aesthetics of cruelty in an Artaudian perspective

Reconhecimento de voz através de unidades menores do que a palavra, utilizando Wavelet Packet e SVM, em uma nova estrutura hierárquica de decisão

The automatic speech recognition by machine has been the target of researchers in the past five decades. In this period have been numerous advances, such as in the field of recognition of isolated words (commands), which has very high rates of recognition, currently. However, we are still far from developing a system that could have a performance similar to the human being (automatic continuous speech recognition). One of the great challenges of searches for continuous speech recognition is the large amount of pattern. The modern languages such as English, French, Spanish and Portuguese have approximately 500,000 words or patterns to be identified. The purpose of this study is to use smaller units than the word such as phonemes, syllables and difones units as the basis for the speech recognition, aiming to recognize any words without necessarily using them. The main goal is to reduce the restriction imposed by the excessive amount of patterns. In order to validate this proposal, the system was tested in the isolated word recognition in dependent-case. The phonemes characteristics of the Brazil s Portuguese language were used to developed the hierarchy decision system. These decisions are made through the use of neural networks SVM (Support Vector Machines). The main speech features used were obtained from the Wavelet Packet Transform. The descriptors MFCC (Mel-Frequency Cepstral Coefficient) are also used in this work. It was concluded that the method proposed in this work, showed good results in the steps of recognition of vowels, consonants (syllables) and words when compared with other existing methods in literature

Reconhecimento de padrões de falhas em motores trifásicos utilizando redes neurais

This work presents a diagnosis faults system (rotor, stator, and contamination) of three-phase induction motor through equivalent circuit parameters and using techniques patterns recognition. The technology fault diagnostics in engines are evolving and becoming increasingly important in the field of electrical machinery. The neural networks have the ability to classify non-linear relationships between signals through the patterns identification of signals related. It is carried out induction motor´s simulations through the program Matlab R & Simulink R , and produced some faults from modifications in the equivalent circuit parameters. A system is implemented with multiples classifying neural network two neural networks to receive these results and, after well-trained, to accomplish the identification of fault´s pattern

Aplicação de técnicas de aprendizado de máquina no reconhecimento de classes estruturais de proteínas

Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated

Desempenho de pacientes com acidente vascular encefalico em testes de reconhecimento de tividades de vida diaria com frequencia autocontrolada e pre- determinada Luciana Protásio de Melo Natal 2009

The stimulation of motor learning is an important component to a rehabilitation and type of practice used is de basic importance to Physiotherapy. The motor skills are the types more basic of behavior that subjects must acquire throughout its lives and observational learning one of forms for its acquisition. Objective: This study aimed to compare performance of patients post- stroke on test of recognition of activities of day life using self-controlled and externally determined practice. Intervention: Forty subjects had been evaluated, 20 stroke patients (the mean age was 57,9?}6,7 years, schooling 6,7?}3,09 years and time of injury 23,4?}17,2 months) and 20 health subjects (the mean age 55,4?}5,9 years and schooling 8?}3,7 years). All was evaluated about independence functional (FIM) and cognitive state (MMSE), and patients were also evaluated about neurologic state (NIHSS). Later, all realized a recognition of activities of day life test (drink water and speak to telephone) on self-controlled (PAUTO and CAUTO) and externally determined (P20 and C20) frequency. The stroke subjects also were examined for a three-dimensional system of kinematic analysis, when they have drink water. The statistic analysis was realized for chi-square and t Student tests. Results: This was not difference, about number of rightness, between groups of self-controlled and externally determined practice (p0,005), and also not between patients and control groups (p0,005). Patients mean velocity (PAUTO: 141,1mm/sec and P20: 141,6mm/sec) and peak velocity (PAUTO: 652,1mm/sec and P20: 598,6mm/sec) were reduced, as well as the angles reached for elbow (PAUTO: 66,60 and 124,40; P20: 66,30 and 128,50 extension e flexion respectively) regarding literature. Conclusions: The performance on recognition of activities of day life test was similar between on self-controlled and externally determined frequency, showing both technique may be used to stimulate motor learning on chronic patients after stroke