Orientador: Paulo Cezar Ceresini / Resumo: Na primeira etapa da nossa pesquisa propusemos e testamos a utilização de um método baseado em leitor automatizado de microplacas para detectar resistência a fungicidas em populações do fungo hemibiotrófico fitopatogênico Pyricularia graminis-tritici (Pygt) associado à brusone do trigo no Brasil. A disponibilidade de um método mais rápido, acurado e eficiente para detecção de resistência a fungicidas facilitaria a tomada de decisão sobre o manejo químico da brusone do trigo no país. Como há indícios da ineficácia de fungicidas triazóis (DMI) no controle da brusone do trigo e evidências da ocorrência generalizada de resistência a estrobilurinas (QoI) em populações de Pygt no Brasil, inicialmente, testou-se a aplicação do método de microplacas para detecção de resistência a estes dois grupos de fungicidas. O método de microplaca foi acurado em discriminar a variação fenotípica na sensibilidade entre isolados do patógeno aos fungicidas DMI tebuconazol e epoxiconazol e ao fungicida QoI azoxistrobina. Economicamente, ambos os métodos representam um alto investimento inicial. Portanto, é necessário analisar, de forma integral, as necessidades de cada laboratório ou grupo de pesquisa quanto à aquisição dos equipamentos necessários para a fenotipagem visando detecção de resistência a fungicidas em atividades de rotina. Na segunda etapa do nosso estudo buscou-se evidências de resistência ao fungicida SDHI fluxapiroxade em populações de Pygt. Para se estabelecer o baseline de populaçõe... (Resumo completo, clicar acesso eletrônico abaixo) / Mestre

Submitted by PRISCILA SANTOS CASADO null (pri.casado@hotmail.com) on 2017-10-22T18:46:39Z No. of bitstreams: 1 Dissertação Final - Priscila Casado.pdf: 1866790 bytes, checksum: 8d4b39875813bd43bc592acd4b71faef (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-10-26T15:50:29Z (GMT) No. of bitstreams: 1 casado_ps_me_ilha.pdf: 1866790 bytes, checksum: 8d4b39875813bd43bc592acd4b71faef (MD5) / Made available in DSpace on 2017-10-26T15:50:29Z (GMT). No. of bitstreams: 1 casado_ps_me_ilha.pdf: 1866790 bytes, checksum: 8d4b39875813bd43bc592acd4b71faef (MD5) Previous issue date: 2017-08-31 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Na primeira etapa da nossa pesquisa propusemos e testamos a utilização de um método baseado em leitor automatizado de microplacas para detectar resistência a fungicidas em populações do fungo hemibiotrófico fitopatogênico Pyricularia graminis-tritici (Pygt) associado à brusone do trigo no Brasil. A disponibilidade de um método mais rápido, acurado e eficiente para detecção de resistência a fungicidas facilitaria a tomada de decisão sobre o manejo químico da brusone do trigo no país. Como há indícios da ineficácia de fungicidas triazóis (DMI) no controle da brusone do trigo e evidências da ocorrência generalizada de resistência a estrobilurinas (QoI) em populações de Pygt no Brasil, inicialmente, testou-se a aplicação do método de microplacas para detecção de resistência a estes dois grupos de fungicidas. O método de microplaca foi acurado em discriminar a variação fenotípica na sensibilidade entre isolados do patógeno aos fungicidas DMI tebuconazol e epoxiconazol e ao fungicida QoI azoxistrobina. Economicamente, ambos os métodos representam um alto investimento inicial. Portanto, é necessário analisar, de forma integral, as necessidades de cada laboratório ou grupo de pesquisa quanto à aquisição dos equipamentos necessários para a fenotipagem visando detecção de resistência a fungicidas em atividades de rotina. Na segunda etapa do nosso estudo buscou-se evidências de resistência ao fungicida SDHI fluxapiroxade em populações de Pygt. Para se estabelecer o baseline de populações do patógeno da brusone do trigo ao fungicida fluxapiroxade, determinou-se a distribuição de frequência de padrões de sensibilidade, com base na EC50 (concentração suficiente para inibir 50% do crescimento micelial fúngico) de cada isolado. Fenótipos extremos de sensibilidade e resistência a fluxapiroxade foram detectados nas diferentes populações do patógeno. Considerando que os fungicidas da segunda geração de SDHI são de alto risco para desenvolvimento de resistência em populações de fipatógenos, é necessária a avaliação do registro e recomendação de uso contínuo do fluxapiroxade, como único princípio ativo numa formulação para o manejo da brusone e de outras doenças do trigo no Brasil. Como estratégia anti-emergência para evitar resistência a SDHI, esse fungicida só poderia ser registrado em co-formulações com outro princípio ativo de baixo risco para resistência. / In the first part of our study, we proposed and tested the use of an automated microplate reader to detect resistance to fungicides in populations of the plant pathogenic hemibiotrophic fungus Pyricularia graminis-tritici (Pygt) associated with the wheat blast disease in Brazil. The availability of a faster, more accurate and efficient method for detecting resistance to fungicies would facilitate the decision making on the chemical management of wheat blast in the country. Because there is indication of inefficacy of triazole fungicides (DMI) for wheat blast control and evidence of the widespread occurrence of strobilurin (QoI) resistance in pathogen populations in Brazil, initially, we tested the application of the microplate method for detecting resistance to these two fungicide groups. The microplate method was accurate in discriminating the phenotypic variation in sensitivity between isolates of the pathogen to the fungicides DMI tebuconazole and epoxiconazole and the fungicide QoI azoxystrobin. Economically, both methods require a high initial investment. Therefore, it is necessary to fully analyze the needs of each laboratory or research group regarding the acquisition of the equipments necessary for phenotyping to detect resistance to fungicides in routine activities. In the second part of our study, using the microplate method, we searched for evidence of resistance to the SDHI fungicide fluxapiroxade in populations of Pygt. To establish the baseline of populations of the wheat blast pathogen to fluxapiroxade, the frequency distribution of sensitivity patterns was determined based on the EC50 (concentration sufficient to inhibit 50% mycelial fungal growth) of each isolate. Extreme phenotypes of sensitivity and resistance to fluxapiroxade were detected in the different pathogen populations. Whereas the second generation of SDHI fungicides are at high risk for development of resistance in populations of plant pathogens, it is necessary to review the labeling and recommendation of continuous application of fluxapyroxad, as the sole active ingredient in any formulation for chemical management of wheat blast and other wheat diseases in Brazil. As an antiemergence strategy to avoid the resistance to SDHI, this fungicide could only be labeled in co-formulations with another active ingredient of low risk for resistance.

Thesis starts with brief overview of the present role of pneumatic actuators. Further research is carried out in modelling and control of pneumatic actuators. A basic overview of thermodynamic laws is presented. These laws are used to assemble a mathematical model of the pneumatic drive. Subsequently the identification of model parameters is shown. A controller is propřed using fuzzy PID algorithms. Results are compared with the conventional PID controller.

This thesis will investigate how developers can create recognizable and historically realistic female game characters while balancing historically accurate aspects and creative aesthetics.This paper is meant to give a better understanding of the importance of accurate historical female costumes in games, and investigate whether or not these are preferable to a gaming audience. The results will be reached by analysing the results collected from two online surveys where six 3D models’ turnarounds from two different eras with different levels of historical accuracy will be represented.

The research contained herein yielded an open source interpolation library implemented in and designed for use with the Python programming language. This library, named smbinterp, provides an interpolation to an arbitrary degree of accuracy. The library is parametric in that is can take input from the user to adjust the underlying interpolation mechanism. The characteristics and behavior of the library according to the adjustment of these parameters is presented herein, as well as the results of a mesh resolution study depicting the accuracy obtained by the library. The smbinterp library was designed with parallel computing environments in mind. The library includes modules that allow for its use in high-performance computing environments. These modules were implemented using built-in Python modules to simplify deployment. This implementation was found to scale linearly approximately 180 participating compute processes. The smbinterp library was designed to be mesh agnostic. A plugin system was implemented that allows end users to conveniently and consistently present their numerical results to the library for rapid prototyping and integration. Two plugins are provided as examples and for documentation of the plugin mechanism.

Visual object tracking is one of the fundamental problems in computer vision, with a wide number of practical applications in e.g.\ robotics, surveillance etc. Given a video sequence and the target bounding box in the first frame, a tracker is required to find the target in all subsequent frames. It is a challenging problem due to the limited training data available. An object tracker is generally evaluated using two criterias, namely robustness and accuracy. Robustness refers to the ability of a tracker to track for long durations, without losing the target. Accuracy, on the other hand, denotes how accurately a tracker can estimate the target bounding box. Recent years have seen significant improvement in tracking robustness. However, the problem of accurate tracking has seen less attention. Most current state-of-the-art trackers resort to a naive multi-scale search strategy which has fundamental limitations. Thus, in this thesis, we aim to develop a general target estimation component which can be used to determine accurate bounding box for tracking. We will investigate how bounding box estimators used in object detection can be modified to be used for object tracking. The key difference between detection and tracking is that in object detection, the classes to which the objects belong are known. However, in tracking, no prior information is available about the tracked object, other than a single image provided in the first frame. We will thus investigate different architectures to utilize the first frame information to provide target specific bounding box predictions. We will also investigate how the bounding box predictors can be integrated into a state-of-the-art tracking method to obtain robust as well as accurate tracking.

No description available.

La presente investigación tiene como objetivo principal desarrollar un sistema experto que permita realizar el diagnóstico de trastorno de ansiedad, bajo la realización de los siguientes objetivos específicos: Definir las reglas que permitan perfilar mediante sus características claves el diagnóstico de trastorno de ansiedad, determinar la precisión del diagnóstico de trastorno de ansiedad y validar la funcionalidad del sistema experto con el especialista de la institución educativa. Con la aplicación de diversos recursos tecnológicos y la implementación de las reglas bajo la metodología Buchanan, se desarrolló un sistema experto con un motor de inferencia basado en reglas de conjunción hechas en el lenguaje Prolog, el cual brinda apoyo al momento de diagnosticar el trastorno de ansiedad. Con esto los estudiantes son diagnosticados o descartados en un menor tiempo. Logrando implementar un total de 236 reglas. Es así como, el sistema experto obtuvo una precisión del 94.7% en sus resultados, obteniendo solo tres falsos negativos de un total de 57 pruebas realizadas, bajo la supervisión de un psicólogo especialista y su experiencia, obteniendo así una correcta funcionalidad del software, diagnósticos confiables y sobre todo oportunos para que el psicólogo especialista brinde un tratamiento adecuado a los estudiantes de la institución educativa.

L'ingénierie métabolique vise à développer des souches très performantes permettant de produire des composés d'intérêts. Pour cela, des modèles de prédiction des flux métaboliques sont développés (GEMs = GEnome-scale Models), intégrant un ensemble de données OMICS. En particulier, l'estimation des quantités exactes d'enzymes est cruciale afin de déterminer les paramètres cinétiques, mais reste difficile à obtenir de manière multiplexe et exacte. Ces travaux de doctorat ont permis de développer une méthode analytique afin de générer des données protéomique quantitative exactes et multiplexes, basée sur l'utilisation de protéines standards couplée à une technique de spectrométrie de masse appellée « Selected Reaction Monitoring ». Cette méthode analytique a été appliquée à une souche référence et deux souches modifiées d'E. coli, optimisées pour produire des quantités élevées de NADPH. Les résultats obtenus démontrent que ce type de données, couplées à des données de flux, permettent de distinguer différents niveaux de régulation, soit au niveau de la quantité d'enzyme, soit de l'activité enzymatique. De plus, la mesure exacte et multiplexe des quantités d'enzyme est une avancée technique majeure dans le développement de modèles prédictifs dynamiques en ingénierie métabolique. / Metabolic engineering aims at designing high performance strains to produce compounds of interest. For this purpose and to predict metabolic fluxes, GEnome-scale Models (GEMs) are developed, integrating multi-OMICS experimental data. Particularly, accurate enzymes amounts are crucial data to determine kinetic parameters but remain difficult to obtain in a multiplexed and accurate fashion. In this Ph.D work we developed a highly accurate and multiplexed workflow for generating quantitative proteomic data, using full length protein labelled standards coupled to a mass spectrometry-based technique called Selected Reaction Monitoring. This workflow was applied to E. coli strains: a wild-type strain and two other strains optimized for higher NADPH production. Results demonstrated that such data combined with measurements of metabolic fluxes, allow apprehending different levels of regulation, namely enzyme abundance and activity. In addition, accurate measurement of enzyme concentration is a key technology for the development of predictive kinetic models in the context of metabolic engineering.

No description available.