Made available in DSpace on 2014-06-11T19:26:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-02-25Bitstream added on 2014-06-13T19:47:24Z : No. of bitstreams: 1 santos_ca_me_sjrp.pdf: 757765 bytes, checksum: bd1f77ee4f0f4cdebfc0a29af4d9bc39 (MD5) / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / O objetivo deste trabalho þe aplicar Mþetodos Numþericos de ordem de precisão mais alta ao problema de Retoque Digital, visando melhorar a qualidade da aproximação quando comparada com o Método de Euler, que þe geralmente utilizado para esse tipo de problema. Para testar a eficiência de tais métodos, utilizamos três modelos de Retoque Digital: o modelo proposto por Bertalmþýo, Sapiro, Ballester e Caselles (BSBC), o modelo de Rudin, Osher e Fatemi conhecido como Variacional Total (TV) e o modelo de Chan e Shen, chamado de Difusão Guiada pela Curvatura (CDD). / The purpose of this work is to apply Numerical Methods of higher order to the problem of Digital Inpainting, aiming to improve the quality of the approach when compared with the Euler s Method which is generally used for this kind of problem. To test the e ciency of these methods we use three models of Digital Inpainting: the model considered by Bertalmþýo, Sapiro, Ballester and Caselles (BSBC), the model of Rudin, Osher and Fatemi known as Total Variation (TV) and the model of Chan and Shen, named Curvature Driven Di usion (CDD)

Made available in DSpace on 2016-06-02T20:30:09Z (GMT). No. of bitstreams: 1 5826.pdf: 1477811 bytes, checksum: 7e98346cb582d2360d7e7ca4a0cb751a (MD5) Previous issue date: 2014-02-20 / Universidade Federal de Minas Gerais / School victimization may favor the occurrence of traumatic symptoms and Post Traumatic Stress Disorder (PTSD). This Doctoral Thesis had the following objectives: validate the American retrospective instrument Student Alienation and Trauma Survey - R (SATS-R), to Brazil, in terms of construct and content validity; characterize how violence is expressed at school, identifying the main types of violence, the worst school events experienced by students, the frequency and duration of these events, main perpetrators, as well as victims' characteristics (age, grade and type of school); investigate the occurrence of traumatic symptoms, especially PTSD, after the worst school experience; analyze the association between PTSD symptoms and variables associated with the worst school experience, and investigate the relationship between the explanatory variables (individual characteristics and aversive school experiences), and development of PTSD symptoms, using an ordinal logistic regression model. The study included 691 students (54.8% female and 45.2% male), of a public university in São Paulo State, Brazil, who responded to Portuguese versions of the Student Alienation and Trauma Survey-R (SATS-R) and the Post-Traumatic Stress Disorder Checklist - Civilian Version (PCL-C). In terms of content validity, the following procedures were conducted: translation, back-translation, semantic equivalence, instrument analysis by experts in the field, and a sample assessment of the target population; for construct validity, an exploratory factor analysis was conduct and Cronbach's alpha was calculated. The study results indicate the feasibility of using the instrument in the Brazilian context for research purposes. Frequency of victimization types reported by participants were: relational violence (at least one item reported by 85.2%); verbal violence (77.7%); physical violence (50.8%); unfair discipline (43.1%); property violence (33.4%); witnessing violence (27.9%); and sexual violence (21.4%). The most frequent types of worst school experiences described were: relational (35.7%), and verbal violence (27.4%). Girls experienced more episodes of verbal, relational and sexual violence, and boys experienced more physical violence and unfair discipline, and the aggressors were mostly male students. The mean age when these worst experiences occurred was 12.3 years, and although most events occurred at low frequency and with short duration, a considerable percentage of participants indicated a duration of "years", particularly in verbal and relational victimization cases. Most participants indicated that they were greatly bothered by their worst school experience, and 7.8% had PTSD symptons after experiencing this event. The percentage of participants with clinically significant scores on the subscales ranged from 4.7% (somatic symptoms) to 20% (hypervigilance), and described symptoms frequently in the literature, such as depression, hopelessness, cognitive difficulties and traumatic event recollection. Significant variables for the regression model were: age, duration and discomfort after the worst experience; relational violence; and verbal violence. In general, student who expressed the greatest discomfort, reported traumatic experiences that were longer in duration, occured when they were older, and the greater the number of verbal and relational victimization events experienced, the greater the possibility of presenting clinically significant symptoms of PTSD. Despite the limitations of the retrospective methodo, the study obtained interesting results which coincide with the literature, drawing attention to the long-term effects of school victimization. In addition, these results may contribute to the development of new research on the topic, as well as offering treatment parameters for victims who were traumatized in school, improving school violence prevention programs. / A vitimização escolar pode favorecer a ocorrência de sintomas traumáticos, como de Transtorno de Estresse Pós-Traumático (TEPT). A presente Tese de Doutorado teve os seguintes objetivos: buscar evidências de validade de conteúdo e de constructo do instrumento retrospectivo norte-americano Student Alienation and Trauma Survey R (SATS-R), para o Brasil; caracterizar como a violência se expressa na escola, identificando os principais tipos de violência, as piores experiências escolares vivenciadas por estudantes, a frequência e a duração desses eventos, os agressores principais, bem como as características das vítimas (idade, série e tipo de escola); investigar a ocorrência de sintomas traumáticos, principalmente TEPT, nos estudantes, após a vivência da pior experiência escolar; analisar a associação dos sintomas de TEPT a variáveis relacionadas à pior experiência escolar; e investigar o relacionamento de variáveis explicativas (características do indivíduo e das experiências escolares aversivas vivenciadas) e o desenvolvimento de sintomas de TEPT, por meio de um modelo de regressão logística ordinal. Participaram do estudo 691 estudantes (54,8% do sexo feminino e 45,2% do masculino), de uma universidade pública do interior do estado de São Paulo, que responderam a versões brasileiras dos instrumentos Student Alienation and Trauma Survey e Post-Traumatic Stress Disorder Checklist Civilian Version (PCL-C). Para a validação de conteúdo, foram feitas: tradução, retrotradução, equivalência semântica, análise do instrumento por profissionais da área e avaliação por amostra da população alvo; para a validação de constructo foi realizada análise fatorial exploratória e cálculo do alfa de Cronbach do instrumento. Os resultados do estudo apontaram para a viabilidade da utilização do instrumento no contexto brasileiro para fins de pesquisa. A frequência dos tipos de vitimização relatados pelos participantes foi: violência relacional (ao menos um item relatado por 85,2%), violência verbal (77,7%) violência física (50,8%), disciplina injusta (43,1%), violência contra o patrimônio (33,4%), presenciar violência (27,9%) e violência sexual (21,4%). Os tipos de piores experiências mais frequentes descritos foram violência relacional (35,7%) e verbal (27,4%). As meninas sofreram mais episódios de violência verbal, relacional e sexual e os meninos violência física e disciplina injusta, sendo que os agressores foram, em sua maioria, estudantes e do sexo masculino. A idade média de ocorrência das piores experiências foi 12,3 anos e, embora a maior parte dos eventos tenha ocorrido em baixa frequência e com curta duração, porcentagem considerável dos participantes apontou duração de anos nos casos de vitimização verbal e relacional, principalmente. A maior parte dos participantes apontou ter se incomodado muito com a pior experiência escolar, sendo que 7,8% apresentaram indicação de TEPT após a vivência dessa experiência. A porcentagem de participantes com escores clinicamente significativos nas subescalas variou de 4,7% (sintomas somáticos) a 20% (hipervigilância), sendo frequentes sintomas comumente descritos na literatura como depressão, desesperança, dificuldades cognitivas e rememoração do evento traumático. As variáveis significativas para o modelo de regressão realizado foram: idade, duração e incômodo após a pior experiência, violência relacional e violência verbal. De forma geral, quanto maior o incômodo do estudante, maior a duração da experiência, maior a idade e quanto mais eventos vivenciados de vitimização relacional e verbal, maior a possibilidade de apresentação de sintomas clinicamente significativos de TEPT. Apesar das limitações da metodologia retrospectiva, foram obtidos resultados interessantes que coincidem com a literatura, chamando a atenção para os efeitos a longo prazo da vitimização escolar. Além disso, o estudo pode contribuir para o desenvolvimento de novas pesquisas sobre o tema, bem como oferecer parâmetros de tratamento às vítimas que apresentem sintomas decorrentes de experiências traumáticas na escola, podendo aprimorar, também, programas de prevenção à violência escolar.

Made available in DSpace on 2014-06-11T19:22:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-08-23Bitstream added on 2014-06-13T20:48:01Z : No. of bitstreams: 1 souza_mas_me_bauru.pdf: 1718716 bytes, checksum: 06558a2073d16192fb7eaf1e9f95ca28 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Este trabalho visa a investigação e implementação de métodos Primal - Dual Previsor-Corretor de Pontos Interiores com a estratégia de busca unidimensional, e a aplicação destes em problemas de Despacho Econômico e Ambiental. Objetiva-se utilizar estes métodos para determinar soluções aproximadas e consistentes dos problemas causados citados, que forneçam a solução de minimização dos custos dos combustíveis empregados na geração termoelétrica de energia, otimizando um processo de alocação da demanda de energia elétrica entre as unidades geradoras disponíveis, de tal forma que as restrições operacionais sejam atendidas e que o custo de geração é minimizado. Pretende-se também, analisar o problema de Despacho Ambiental com um objetivo único quando se acopla a este o Problema de Despacho Econômico e busca-se, simultaneamente, a minimização dos custos de geração e a redução da emissão de poluentes na natureza. Os métodos foram implementados, testados em Problemas de Despacho Econômico e Ambiental, e o seu desempenho foi comparado com outros métodos já utilizados, cujos resultados são encontrados na literatura / This work aims the investigation and implementation of Primal-Dual Predictor-Corrector interior points methods, with the strategy of one-dimensional search, and its application in Economic and Environmental Dispatch Problems. It pretends to use these methods to determine approximate and consistent solutions of the mentioned problems, that provide the solution to minimize the fuel costs used in thermoelectric power generation, optimizing an allocations process of eletric power demand among available generation units, such that the operational constraints are attended and that generation cost is minimized. It too pretends to analyze the Environmental Dispatch Problem with the one objective when it is joined with the Dispatch Problems and it searchs, simultaneously, the minimization of the generation costs and the reduction of emission of the polluants in the nature. The methods were implemented, tested on the Economic and Environemental Dispatch Problems and its performance was compared with others method currently used, whose results are found in the literature

Orientador: Maurílio Boaventura / Banca: Antonio Castelo Filho / Banca: Heloisa Helena Marino Silva / Resumo: O objetivo deste trabalho þe aplicar Mþetodos Numþericos de ordem de precisão mais alta ao problema de Retoque Digital, visando melhorar a qualidade da aproximação quando comparada com o Método de Euler, que þe geralmente utilizado para esse tipo de problema. Para testar a eficiência de tais métodos, utilizamos três modelos de Retoque Digital: o modelo proposto por Bertalmþýo, Sapiro, Ballester e Caselles (BSBC), o modelo de Rudin, Osher e Fatemi conhecido como Variacional Total (TV) e o modelo de Chan e Shen, chamado de Difusão Guiada pela Curvatura (CDD). / Abstract: The purpose of this work is to apply Numerical Methods of higher order to the problem of Digital Inpainting, aiming to improve the quality of the approach when compared with the Euler’s Method which is generally used for this kind of problem. To test the e ciency of these methods we use three models of Digital Inpainting: the model considered by Bertalmþýo, Sapiro, Ballester and Caselles (BSBC), the model of Rudin, Osher and Fatemi known as Total Variation (TV) and the model of Chan and Shen, named Curvature Driven Di usion (CDD) / Mestre

Estudos teóricos dos mecanismos moleculares responsáveis pela formação e estabilidade de complexos moleculares vêm ganhando relevância pelas possibilidades práticas que oferecem, por exemplo, na compreensão de diversas doenças e no desenho racional de fármacos. Neste projeto, nossa ênfase está no estudo de complexos de proteínas, extraídos do banco de dados de proteínas (PDB), onde desenvolvemos ferramentas computacionais as quais permitem efetuar análises em duas direções: 1) efetuar previsões básicas, através do emprego de propriedades eletrostáticas de proteínas, em diferentes condições e níveis preditivos e 2) realização de um conjunto de análises estatísticas, como freqüência de contato, em busca de preditores de complexos de proteínas e identificar padrões de interação entre seus aminoácidos em função da distância de separação. Com base nos resultados obtidos por ambos os estudos, objetivamos quantificar as forças físicas envolvidas na formação dos complexos protéicos. O foco do projeto, a longo prazo, é prever o fenômeno da complexação através da fusão dessas duas linhas de estudos: preditor básico de complexos protéicos e análise do potencial estatístico entre os aminoácidos que formam o complexo. O presente projeto é concluído com a construção de portais web que disponibilizarão os resultados obtidos por nossos trabalhos bem como a possibilidade de qualquer usuário, efetuar consultas por propriedades de proteínas e/ou grupo de proteínas. / Theoretical studies of the molecular mechanisms responsible for the formation and stability of molecular complexes are gaining relevance for the practical possibilities that they offer, for example, in the understanding of diverse diseases and rational drug design. In this project, our emphasis is on the study of protein complexes, extracted from protein data bank (PDB). We have developed computational tools which allow to perform analyses in two directions: 1) to make basic complexation forecasts, through the use of electrostatics properties of proteins, in different conditions and predictive levels, and 2) to carry out a set of statistical analyses, as contacts frequency, in order to build up predictor of protein complexes and to identify patters of interactions between the amino acids as a function of their separation distance. Based on the results obtained on both studies, we aim quantify the physical forces involved in the formation of protein complexes. The focus of the project, in the long run, is to foresee the phenomenon of the protein complexes through the fusing of these two study lines: a coarse-grained predictor of protein complexes and analysis of the statistical potentials between the amino acids that form the complex. The present project is concluded with the construction of web services where we make available the results obtained on our works. This server also has the possibility to be used by any computer user, that wishes to perform search on protein and/or protein group properties

Proteins are the fundamental macromolecules within a cell that carry out most of the biological functions. The computational study of protein structure and its functions, using machine learning and data analytics, is elemental in advancing the life-science research due to the fast-growing biological data and the extensive complexities involved in their analyses towards discovering meaningful insights. Mapping of protein’s primary sequence is not only limited to its structure, we extend that to its disordered component known as Intrinsically Disordered Proteins or Regions in proteins (IDPs/IDRs), and hence the involved dynamics, which help us explain complex interaction within a cell that is otherwise obscured. The objective of this dissertation is to develop machine learning based effective tools to predict disordered protein, its properties and dynamics, and interaction paradigm by systematically mining and analyzing large-scale biological data. In this dissertation, we propose a robust framework to predict disordered proteins given only sequence information, using an optimized SVM with RBF kernel. Through appropriate reasoning, we highlight the structure-like behavior of IDPs in disease-associated complexes. Further, we develop a fast and effective predictor of Accessible Surface Area (ASA) of protein residues, a useful structural property that defines protein’s exposure to partners, using regularized regression with 3rd-degree polynomial kernel function and genetic algorithm. As a key outcome of this research, we then introduce a novel method to extract position specific energy (PSEE) of protein residues by modeling the pairwise thermodynamic interactions and hydrophobic effect. PSEE is found to be an effective feature in identifying the enthalpy-gain of the folded state of a protein and otherwise the neutral state of the unstructured proteins. Moreover, we study the peptide-protein transient interactions that involve the induced folding of short peptides through disorder-to-order conformational changes to bind to an appropriate partner. A suite of predictors is developed to identify the residue-patterns of Peptide-Recognition Domains from protein sequence that can recognize and bind to the peptide-motifs and phospho-peptides with post-translational-modifications (PTMs) of amino acid, responsible for critical human diseases, using the stacked generalization ensemble technique. The involved biologically relevant case-studies demonstrate possibilities of discovering new knowledge using the developed tools.

The aim of this work is to automatically design a program that is able to detect dyskinetic movement features in the measured patient's movement data. The program will be developed using Cartesian genetic programming equipped with coevolution of fitness predictors. This type of coevolution allows to speed up a design performed by Cartesian genetic programming by evaluating a quality of candidate solutions using only a part of training data. Evolved classifier achieves a performance (in terms of AUC) that is comparable with the existing solution while achieving threefold acceleration of the learning process compared to the variant without the fitness predictors, in average. Experiments with crossover methods for fitness predictors haven't shown a significant difference between investigated methods. However, interesting results were obtained while investigating integer data types that are more suitable for implementation in hardware. Using an unsigned eight-bit data type (uint8_t) we've achieved not only comparable classification performance (for significant dyskinesia AUC = 0.93 the same as for the existing solutions), with improved AUC for walking patient's data (AUC = 0.80, while existing solutions AUC = 0.73), but also nine times speedup of the design process compared to the approach without fitness predictors employing the float data type, in average.

Cartesian genetic programming (CGP) is a form of genetic programming where candidate programs are represented in the form of directed acyclic graphs. It was shown that CGP can be accelerated using coevolution with a population of fitness predictors which are used to estimate the quality of candidate solutions. The major disadvantage of the coevolutionary approach is the necessity of performing many time-consuming experiments to determine the best size of the fitness predictor for the particular task. This project introduces a new fitness predictor representation with phenotype plasticity, based on the principles of colearning in evolutionary algorithms. Phenotype plasticity allows to derive various phenotypes from the same genotype. This allows to adapt the size of the predictors to the current state of the evolution and difficulty of the solved problem. The proposed algorithm was implemented in the C language and optimized using SSE2 and AVX2 vector instructions. The experimental results show that the resulting image filters are comparable with standard CGP in terms of filtering quality. The average speedup is 8.6 compared to standard CGP. The speed is comparable to standard coevolutionary CGP but it is not necessary to experimentally determine the best size of the fitness predictor while applying coevolution to a new, unknown task.

No description available.

Direct Machining And Control (DMAC) is a new method of controlling machine tools directly from process planning software. A motion planning module is developed for the DMAC system that operates directly off path geometry without pre-tessellation. The motion planner is developed with the intent to process Bezier curves. The motion planning module includes a deterministic predictor-corrector-type curve interpolator, a dynamics limiting module, and a two-pass jerk-limited speed profiling algorithm. The methods are verified by machining an automotive surface in a clay medium and evaluating the resultant machine dynamics, feed rate, and chordal error throughout the machining process.