Ne bis in idem: limites jurídico-constitucionais à persecução penal

This legal research aims to demonstrate the prohibition in the Brazilian criminal system of a multiple imputation for the same fact in a simultaneous or successive way. For that it is developed a different idea of the subject. Through comparative, eletronic and bibliographical researches, the dissertation was accomplished in a way to establish the content of the foundations of the criminal procedural emphasizing as fundamental premise the values of the Constitution. In the first section it was demonstrated the limits of the theme and the objective of the research. After that, it was analyzed the basic function of the criminal suit which has the important mission of limiting state's punitive power. In the same way, the criminal procedure corresponds to a warranty of the citizens' freedom. In the same section, it is shown how it is possible to abandon the myth of the real truth in the criminal law system. In the third section of the research, there were pointed elements and definitions about the cognition object, specially the litigious object or "thema decidendum", and also the peculiarities of the judged cases. In the fourth section the subject about origins and evolution of the criminal procedure and its objectives in the legal system is developed to demonstrate its perspectives. Some aspects of the identity's concept of the presupposition of the facts are as well demonstrated in order to relate the theme to the prohibition of multiple imputation. There are also considerations about some other important aspects as the incidence of the legal rules and the possible change on the elements of the penal type. There are several comments about legal procedural in other legal systems comparing them to Brazilian's most elevated Courts. In the end it was systematized the limits to criminal imputation, emphasizing the defende's right as a foundation of the legal system. Is was registered that the ius persequendi can be exercised once

Somos todos canibais: antropofagia, corpo e educação sensível

Cette étude présente l anthropophagie comme une notion théorique et experiementale du corps qui réhabilite le sensible et réveille le monde perçu. L argumentation fait ressortir la dimension sensible du corps et de la connaissance, en considerant sa sensibilité et motricité, corps qui ne se sépare pas de la nature et de l histoire, en actuant dans le monde comme présence vive, originaire, en mouvement ; en supposant un sujet qui, au même temps que construit ses propres senses, il dépend de l expérience de l autre et du monde, en créant et en recréant la culture, et il agrandit le processus de connaître, de sentir, de penser, d agir, d être, de se transformer. Cette attitude annonce une connaissance sensible et un corps qui est suscetible de sensations, mais d expréssions aussi, de communication, de création, aspects indispensables pour se pensar l éducation comme un space sensible, d apprantissage et réssignification de la culture ; que dévient possible la communion avec le corps, le temps, le space ; qu enseigne à réapprendre à voir le monde, que considère la réversibilité des senses et l esthésie comme champs de l expérience sensible et de l imputation des senses ; qu évoque la beauté des multiples léctures du vécu et qu agrandit la compréhension du soi et de l autre. L objectif de ce travail est comprendre l anthropophagie comme une attitude du corps et de la connaisance sensible, qu approfondit la rélation de l être au monde, la rélation avec l autre et permet la création de senses culturelles, ésthetiques et éxistentielles our l éducation. Nos présentons l attitude phénomologique de Maurice Merleau-Ponty comme référence théorique et méthodologique de notre recherche. Il s agit d une attitude de la pensée qui place la conaissance au centre de nos expériences vécues au monde ; une attitude qui ne propose pas un sens définitif des choses et des personnes et qui contribue pour la compréhension de l anthropophagie, du corps, du sensible, du monde et de l autre, en indiquant des développements de ces réflexions pour l éducation. En créant des horizonts de sense et strastégies de pérception sur l anthopophagie, nos considérons comme choix notre expérience vécu, comme les voyages; atelier d extension avec des élèves du cours de Technologie en Production Culturelle de l Institut Fédéral d Éducation, Science et Technologie du Rio Grande do Norte-IFRN, Campus Cidade Alta ; l anthropophagie comme élement de l Art Moderne Brésilien ; les créations et les récits des élèves ; images ; filmes et livres recherchés ; dialogues avec les penseurs Lévi-Strauss, Montaigne et Oswald de Andrade, qui constituent nos principales références conceptuelles et qui ont permis traversé des savoirs et promouvoir un dialogue entre divers champs de connaissance, comme l Anthropologie, la Philosophie, l Art et l Éducation. Ces stratégies constituent le resultat partiel et inachevé d un processus de connaisance de soi et de l autre, que permet de revivre des mémoires, faire ressortir des couleurs, des senses, des goûts, des découvertes sensibles et encourageantes sur la connaissance, sur l art, des découvertes sur soi même, sur l autre, sur le monde, sur la vie, indiquant que l éducation peut être un processus fort sensible, dans lequel le corps est une présence indispensable, aussi comme le toucher, le créer, les delires, les affections, les encontres et l invention

Análise de resíduos em modelos de tempo de falha acelerado com efeito aleatório

We present residual analysis techniques to assess the fit of correlated survival data by Accelerated Failure Time Models (AFTM) with random effects. We propose an imputation procedure for censored observations and consider three types of residuals to evaluate different model characteristics. We illustrate the proposal with the analysis of AFTM with random effects to a real data set involving times between failures of oil well equipment

O tipo penal de disparo de arma de fogo como espécie dos delitos contra a incolumidade pública: uma antecipação de tutela penal legitimável

Pós-graduação em Direito - FCHS

Mexico: Combining monthly inflation predictions from surveys

We examine the problem of combining Mexican inflation predictions or projections provided by a biweekly survey of professional forecasters. Consumer price inflation in Mexico is measured twice a month. We consider several combining methods and advocate the use of dimension reduction techniques whose performance is compared with different benchmark methods, including the simplest average prediction. Missing values in the database are imputed by two different databased methods. The results obtained are basically robust to the choice of the imputation method. A preliminary analysis of the data was based on its panel data structure and showed the potential usefulness of using dimension reduction techniques to combine the experts' predictions. The main findings are: the first monthly predictions are best combined by way of the first principal component of the predictions available; the best second monthly prediction is obtained by calculating the median prediction and is more accurate than the first one.

Imputação de dados baseado em otimização por enxame de partículas considerando os principais mecanismos de ausência de dados

Durante o processo de extração do conhecimento em bases de dados, alguns problemas podem ser encontrados como por exemplo, a ausência de determinada instância de um atributo. A ocorrência de tal problemática pode causar efeitos danosos nos resultados finais do processo, pois afeta diretamente a qualidade dos dados a ser submetido a um algoritmo de aprendizado de máquina. Na literatura, diversas propostas são apresentadas a fim de contornar tal dano, dentre eles está a de imputação de dados, a qual estima um valor plausível para substituir o ausente. Seguindo essa área de solução para o problema de valores ausentes, diversos trabalhos foram analisados e algumas observações foram realizadas como, a pouca utilização de bases sintéticas que simulem os principais mecanismos de ausência de dados e uma recente tendência a utilização de algoritmos bio-inspirados como tratamento do problema. Com base nesse cenário, esta dissertação apresenta um método de imputação de dados baseado em otimização por enxame de partículas, pouco explorado na área, e o aplica para o tratamento de bases sinteticamente geradas, as quais consideram os principais mecanismos de ausência de dados, MAR, MCAR e NMAR. Os resultados obtidos ao comprar diferentes configurações do método à outros dois conhecidos na área (KNNImpute e SVMImpute) são promissores para sua utilização na área de tratamento de valores ausentes uma vez que alcançou os melhores valores na maioria dos experimentos realizados.

Metodologias e estratégias de imputação de marcadores genéticos em bovinos da raça Cachim

Pós-graduação em Genética e Melhoramento Animal - FCAV

Genome-wide association study for feedlot average daily gain in Nellore cattle (Bos indicus)

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

The development of genomics applied to dairy breeding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Adalimumab for maintenance therapy for one year in Crohn's disease: results of a Latin American single-center observational study

Adalimumab is a fully-human antibody that inhibits TNF alpha, with a significant efficacy for long-term maintenance of remission. Studies with this agent in Latin American Crohn's disease patients are scarce. The objective of this study was to outline clinical remission rates after 12 months of adalimumab therapy for Crohn's disease patients. Retrospective, single-center, observational study of a Brazilian case series of Crohn's disease patients under adalimumab therapy. Variables analyzed: demographic data, Montreal classification, concomitant medication, remission rates after 1, 4, 6 and 12 months. Remission was defined as Harvey-Bradshaw Index ≤ 4, and non-responder-imputation and last-observation-carried-forward analysis were used. The influence of infliximab on remission rates was analyzed by Fischer and Chi-square tests (P<0.05). Fifty patients, with median age of 35 years at therapy initiation, were included. Remission rates after 12 months of therapy were 54% under non-responder-imputation and 88% under last-observation-carried-forward analysis. After 12 months, remission on patients with previous infliximab occurred in 69.23% as compared to 94.59% in infliximab-naïve patients (P = 0.033). Adalimumab was effective in maintaining clinical remission after 12 months of therapy, with an adequate safety profile, and was also more effective in infliximab naïve patients.

Estudo genômico do nível de infecção por Babesia bovis em bovinos da raça angus

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Comparação das águas dos rios Jaguari e Atibaia na região de lançamento de efluente de indústria petroquímica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Improving IRT parameter estimates with small sample sizes: Evaluating the efficacy of a new data augmentation technique

The 3PL model is a flexible and widely used tool in assessment. However, it suffers from limitations due to its need for large sample sizes. This study introduces and evaluates the efficacy of a new sample size augmentation technique called Duplicate, Erase, and Replace (DupER) Augmentation through a simulation study. Data are augmented using several variations of DupER Augmentation (based on different imputation methodologies, deletion rates, and duplication rates), analyzed in BILOG-MG 3, and results are compared to those obtained from analyzing the raw data. Additional manipulated variables include test length and sample size. Estimates are compared using seven different evaluative criteria. Results are mixed and inconclusive. DupER augmented data tend to result in larger root mean squared errors (RMSEs) and lower correlations between estimates and parameters for both item and ability parameters. However, some DupER variations produce estimates that are much less biased than those obtained from the raw data alone. For one DupER variation, it was found that DupER produced better results for low-ability simulees and worse results for those with high abilities. Findings, limitations, and recommendations for future studies are discussed. Specific recommendations for future studies include the application of Duper Augmentation (1) to empirical data, (2) with additional IRT models, and (3) the analysis of the efficacy of the procedure for different item and ability parameter distributions.

Corpus-Based Speech Enhancement With Uncertainty Modeling and Cepstral Smoothing

We present a new approach for corpus-based speech enhancement that significantly improves over a method published by Xiao and Nickel in 2010. Corpus-based enhancement systems do not merely filter an incoming noisy signal, but resynthesize its speech content via an inventory of pre-recorded clean signals. The goal of the procedure is to perceptually improve the sound of speech signals in background noise. The proposed new method modifies Xiao's method in four significant ways. Firstly, it employs a Gaussian mixture model (GMM) instead of a vector quantizer in the phoneme recognition front-end. Secondly, the state decoding of the recognition stage is supported with an uncertainty modeling technique. With the GMM and the uncertainty modeling it is possible to eliminate the need for noise dependent system training. Thirdly, the post-processing of the original method via sinusoidal modeling is replaced with a powerful cepstral smoothing operation. And lastly, due to the improvements of these modifications, it is possible to extend the operational bandwidth of the procedure from 4 kHz to 8 kHz. The performance of the proposed method was evaluated across different noise types and different signal-to-noise ratios. The new method was able to significantly outperform traditional methods, including the one by Xiao and Nickel, in terms of PESQ scores and other objective quality measures. Results of subjective CMOS tests over a smaller set of test samples support our claims.

TRIO LOGIC REGRESSION - DETECTION OF SNP - SNP INTERACTIONS IN CASE-PARENT TRIOS

Statistical approaches to evaluate higher order SNP-SNP and SNP-environment interactions are critical in genetic association studies, as susceptibility to complex disease is likely to be related to the interaction of multiple SNPs and environmental factors. Logic regression (Kooperberg et al., 2001; Ruczinski et al., 2003) is one such approach, where interactions between SNPs and environmental variables are assessed in a regression framework, and interactions become part of the model search space. In this manuscript we extend the logic regression methodology, originally developed for cohort and case-control studies, for studies of trios with affected probands. Trio logic regression accounts for the linkage disequilibrium (LD) structure in the genotype data, and accommodates missing genotypes via haplotype-based imputation. We also derive an efficient algorithm to simulate case-parent trios where genetic risk is determined via epistatic interactions.