829 resultados para Algoritmos genéticos


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Further to increase the wood yield, is important goal of forest tree breeding the adaptation of clones through diverse environment, especially for soil and climate. Perennial tree species such as eucalypts, have a long life cycle and the frosts can occur and to be their limiting source of cultivation. The aim of the study was to determine the genetic variability and the genetic correlations between selection ages of clones cultivated in the municipality of Palma So la, SC, Brazil, where frosts are common in the winter. A clonal trial was set up in 2008 in Palma So la, by statistical design of randomized complete blocks considering 29 clones, six replications, six plants per plot, and 3.0m x 3.0 m spacing. The silvicultural characters of total plant height, diameter of breast height (dbh), and wood volume were evaluated through 24, 36, 48, and 60 months old. The deviance analysis and estimates of genetic parameters were based on the REML / BLUP genetic statistical procedure. Significant differences were observed for all traits in the deviance analysis. High correlations and statistically significant between characters were observed, indicating that the early selection will provide significant gains. Part of the clones USP/IPEF 64, USP/IPEF 78, USP/IPEF 52, USP/IPEF 68, and USP/IPEF 74) are potential to be used into the breeding programs and in commercial stands into the studied frost regions.

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There are many advantages when using a phantom for the evaluation of the mammographic images, one of them is to test the visibility of the distribution of objects that constitute it, and then, set the best image in order to obtain a diagnostic medical insurance, trying to reach the best risk - benefit ratio for the patient. Typically, the quality of the mammographic image is performed by subjective and quantitative assessments. This study developed algorithms that can quantitatively evaluate digital images (DICOM), obtained from mammographic phantom consisting of test objects. The results were adjusted by the response of the subjective evaluation performed by experts in radiology. This procedure aims to create an independence of the experts in radiology in daily tests of quality control in routine clinical diagnostic radiology

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Techniques of image combination, with extraction of objects to set a final scene, are very used in applications from photos montages to cinematographic productions. These techniques are called digital matting. With them is possible to decrease the cost of productions, because it is not necessary for the actor to be filmed in the location where the final scene occurs. This feature also favors its use in programs made to digital television, which demands a high quality image. Many digital matting algorithms use markings done on the images, to demarcate what is the foreground, the background and the uncertainty areas. This marking is called trimap, which is a triple map containing these three informations. The trimap is done, typically, from manual markings. In this project, methods were created that can be used in digital matting algorithms, with restriction of time and without human interaction, that is, the creation of an algorithm that generates the trimap automatically. This last one can be generated from the difference between a color of an arbitrary background and the foreground, or by using a depth map. It was also created a matting method, based on the Geodesic Matting (BAI; SAPIRO, 2009), which has an inferior processing time then the original one. Aiming to improve the performance of the applications that generates the trimap and of the algorithms that generates the alphamap (map that associates a value to the transparency of each pixel of the image), allowing its use in applications with time restrictions, it was used the CUDA architecture. Taking advantage, this way, of the computational power and the features of the GPGPU, which is massively parallel

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In radiotherapy, computational systems are used for radiation dose determination in the treatment’s volume and radiometric parameters quality analysis of equipment and field irradiated. Due to the increasing technological advancement, several research has been performed in brachytherapy for different computational algorithms development which may be incorporated to treatment planning systems, providing greater accuracy and confidence in the dose calculation. Informatics and information technology fields undergo constant updating and refinement, allowing the use Monte Carlo Method to simulate brachytherapy source dose distribution. The methodology formalization employed to dosimetric analysis is based mainly in the American Association of Physicists in Medicine (AAPM) studies, by Task Group nº 43 (TG-43) and protocols aimed at dosimetry of these radiation sources types. This work aims to analyze the feasibility of using the MCNP-5C (Monte Carlo N-Particle) code to obtain radiometric parameters of brachytherapy sources and so to study the radiation dose variation in the treatment planning. Simulations were performed for the radiation dose variation in the source plan and determined the dosimetric parameters required by TG-43 formalism for the characterization of the two high dose rate iridium-192 sources. The calculated values were compared with the presents in the literature, which were obtained with different Monte Carlo simulations codes. The results showed excellent consistency with the compared codes, enhancing MCNP-5C code the capacity and viability in the sources dosimetry employed in HDR brachytherapy. The method employed may suggest a possible incorporation of this code in the treatment planning systems provided by manufactures together with the equipment, since besides reducing acquisition cost, it can also make the used computational routines more comprehensive, facilitating the brachytherapy ...

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This monograph aims to study the problem of thinning, also known by Image Skeletonization, to explore their applications in areas such as, Biometrics, Medicine, Engineering and Cartography. The algorithms of thinning can be classi ed into two major groups: iterative algorithms and non-iterative algorithms. Iterative are sub-divided into sequential algorithms and parallel algorithms. In order to develop a computer system able to extract the skeleton of an image, were studied, analyzed and implemented di erent algorithms for this problem, precisely those of Stentiford, Zhang Suen, and Holt

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O tratamento dos Linfomas de Hodgkin e Não - Hodgkin é baseado, atualmente, na combinação de drogas antineoplásicas, associadas ou não à radioterapia. Embora as taxas de cura sejam elevadas, sabe-se que tais terapias podem induzir mutações gênicas e cromossômicas que, mais tarde, podem ser responsáveis pela iniciação de novos processos carcinogênicos ou de doenças degenerativas relacionadas a danos genéticos. Sendo assim, o presente estudo teve por objetivo avaliar o efeito toxicogenético tardio (sobre os níveis de danos no DNA) das terapias antineoplásicas para linfomas. Para isso, foram incluídos no estudo 10 pacientes recém diagnosticados com linfoma (Grupo 1- Pré-terapia), 10 pacientes com história de linfoma e que finalizaram o tratamento antineoplásico há no mínimo dois anos (Grupo 2- Pós-terapia) e 10 indivíduos saudáveis (Grupo 3- Controles). Os linfócitos de sangue periférico foram utilizados para se avaliar os níveis de danos no DNA pelo teste do cometa. Além disso, foi avaliada a eficiência do sistema de reparo do DNA frente às lesões induzidas in vitro pelo peróxido de hidrogênio (H2O2). Os dados mostraram que não houve diferença estatisticamente significativa nos níveis de danos no DNA entre os três grupos. No entanto, foram observadas diferenças estatisticamente significativas no reparo das lesões induzidas pelo (H2O2), com o grupo controle apresentado maior indução de danos em comparação com aos demais grupos (p <0,05). Concluindo, os resultados não evidenciaram efeitos toxicogenéticos tardios decorrentes da exposição às terapias antineoplásicas para linfomas

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

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Pós-graduação em Ciência e Tecnologia Animal - FEIS

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Currently it is clear that there are several factors that can act as modifiers of diseases, without causing them directly, but having the potential to make these conditions to progress faster and more severe. There is a growing number of studies investigating the relationship between Diabetes Mellitus (DM) and Periodontal Disease (PD), including some studies focusing on the influence of genetic factors in this process. The aim of this study was to verify through a literature review, the influence of genetic polymorphisms in the development of PD in patients with DM. PubMed and BIREME were used as databases and the terms Periodontitis or Periodontal Disease, Polymorphism, Diabetes Mellitus were searched. After a refinement in the literature, five studies were selected and they were related to chronic PD with DM and polymorphisms in cytokine genes, especially interleukin 1 (IL1) e IL6. Polymorphisms were associated with a higher concentration of pro-inflammatory cytokines in the gingival crevicular fluid of diabetic patients when compared to non-diabetic. In conclusion, it is necessary to confirm this association with longitudinal studies that must investigate a larger number of cytokine genes in order to understand the cause-effect relationship between genetic polymorphisms, DM and PD.

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

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Pós-graduação em Direito - FCHS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)