83 resultados para SpanishPhonological categorization

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Background. Ductal carcinoma in situ (DCIS) of the breast has been diagnosed increasingly since the advent of mammography. However, the natural history of these lesions remains uncertain. Ductal carcinoma in situ of the breast does not represent a single entity but a heterogeneous group with histologic and clinical differences. The histologic subtype of DCIS seems to have an influence on its biologic behavior, but there are few studies correlating subtype with biologic markers.Methods. The authors studied a consecutive series of 40 cases of DCIS and after its histologic categorization verified its relationship with ploidy using image analysis and analyzing estrogen receptor (ER), progesterone receptor (PR), p53 and c-erbB-2 expression using immunohistochemistry.Results. The three groups proposed according to the grade of malignancy were correlated significantly with some of the additional parameters studied, including aneuploidy and c-erB-2 expression. Aneuploidy was detected in 77.5% of cases of DCIS mainly in high and intermediate grade subtypes (100% and 80% vs. 35.7% in low grade) whereas immunoreactivity for c-erbB-2 was detected in 45% of cases of DCIS mainly in the high grade group. Expression of ER and PR were observed frequently in this study (63.9% and 65.7% respectively), but without correlation with the histologic subtype of DCIS, although we found a somewhat significant association between high grade DCIS and lack of ER. p53 protein expression was detected in 36.8% of these cases, but no relationship between this expression and histologic subtype or grading of DCIS was found.Conclusions. These results provide further evidence for the morphologic and biologic heterogeneity of DCIS. Besides histologic classification and nuclear grading, some biologic markers such as aneuploidy and c-erbB-2 expression constitute additional criteria of high grade of malignancy.

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Different from the first attempts to solve the image categorization problem (often based on global features), recently, several researchers have been tackling this research branch through a new vantage point - using features around locally invariant interest points and visual dictionaries. Although several advances have been done in the visual dictionaries literature in the past few years, a problem we still need to cope with is calculation of the number of representative words in the dictionary. Therefore, in this paper we introduce a new solution for automatically finding the number of visual words in an N-Way image categorization problem by means of supervised pattern classification based on optimum-path forest. © 2011 IEEE.

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

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Background: Sugarcane is an increasingly economically and environmentally important C4 grass, used for the production of sugar and bioethanol, a low-carbon emission fuel. Sugarcane originated from crosses of Saccharum species and is noted for its unique capacity to accumulate high amounts of sucrose in its stems. Environmental stresses limit enormously sugarcane productivity worldwide. To investigate transcriptome changes in response to environmental inputs that alter yield we used cDNA microarrays to profile expression of 1,545 genes in plants submitted to drought, phosphate starvation, herbivory and N-2-fixing endophytic bacteria. We also investigated the response to phytohormones (abscisic acid and methyl jasmonate). The arrayed elements correspond mostly to genes involved in signal transduction, hormone biosynthesis, transcription factors, novel genes and genes corresponding to unknown proteins.Results: Adopting an outliers searching method 179 genes with strikingly different expression levels were identified as differentially expressed in at least one of the treatments analysed. Self Organizing Maps were used to cluster the expression profiles of 695 genes that showed a highly correlated expression pattern among replicates. The expression data for 22 genes was evaluated for 36 experimental data points by quantitative RT-PCR indicating a validation rate of 80.5% using three biological experimental replicates. The SUCAST Database was created that provides public access to the data described in this work, linked to tissue expression profiling and the SUCAST gene category and sequence analysis. The SUCAST database also includes a categorization of the sugarcane kinome based on a phylogenetic grouping that included 182 undefined kinases.Conclusion: An extensive study on the sugarcane transcriptome was performed. Sugarcane genes responsive to phytohormones and to challenges sugarcane commonly deals with in the field were identified. Additionally, the protein kinases were annotated based on a phylogenetic approach. The experimental design and statistical analysis applied proved robust to unravel genes associated with a diverse array of conditions attributing novel functions to previously unknown or undefined genes. The data consolidated in the SUCAST database resource can guide further studies and be useful for the development of improved sugarcane varieties.

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O artigo objetiva delinear uma breve radiografia do livro didático contemporâneo em função de algumas temáticas centrais que têm ocupado o cenário de investigações relativas ao saber histórico escolar, porém sob o escopo daquilo que se apresentou no interior dos processos de inscrição, triagem e avaliação das obras inscritas para o Programa Nacional do Livro Didático para o ano de 2005. Consideraram-se, para efeito de categorização global, os resultados dessa última avaliação de livros de História, divulgada no início de 2004, na qual as autoras desempenharam papéis vinculados diretamente à execução do processo avaliativo.

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OBJETIVO: analisar a influência da via de parto sobre a força muscular do assoalho pélvico (FM-AP). MÉTODOS: estudo clínico de corte transversal, para avaliar a FM-AP pelo teste da avaliação da força do assoalho pélvico (AFA) e uso do perineômetro em primíparas, entre 20-30 anos de idade, 4-6 meses pós-parto. A contração, medida pelos dois testes, foi classificada em: zero - ausência, um - leve, dois - moderada e três - normal, sustentada por 6 segundos. Avaliaram-se 94 mulheres, entre 20 e 30 anos, divididas em três grupos: pós-parto vaginal (n=32); pós-cesárea (n=32) e nulíparas (n=30). A variável independente foi a via de parto e a dependente, a FM-AP. A comparação entre os graus de contração foi realizada pelo teste de Kruskal-Wallis e o teste de Dunn para comparações múltiplas; a influência da via de parto pelo teste chi2, o risco relativo (RR) para alteração da FM-AP e o coeficiente kappa para avaliar equivalência entre os testes. RESULTADOS: a mediana e 1º e 3º quartil da FM-AP foram menores (p=0,01) pós-parto vaginal (2,0;1-2) e intermediários pós-cesárea (2,0; 2-3) em relação às nulíparas (3,0;2-3), tanto analisadas pelo AFA como pelo perineômetro. Aumentou o RR de exame alterado pós-parto vaginal (RR=2,5; IC 95%: 1,3-5,0; p=0,002); (RR=2,3; IC 95%: 1,2-4,3; p=0,005) e pós-cesárea (RR=1,5; IC 95%: 0,94-2,57; p=0,12); (RR=1,3; IC 95%: 0,85-2,23; p=0,29) pelo PFSE e perineômetro, respectivamente. CONCLUSÕES: o parto vaginal diminuiu a força muscular do AP de primíparas quando comparado com os casos submetidos à cesárea e com as nulíparas.

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Small blue round cell tumors (SBRCTs) are a set of malignancies that have a particular proclivity for the pediatric age group. These tumors are notoriously difficult to distinguish by histologic evaluation alone, and in recent years a number of new immunohistochemical markers have emerged that can aid in the correct categorization of these lesions. Myogenin, a muscle-restricted nuclear transcription factor, has been demonstrated to be a highly sensitive and specific marker of rhabdomyosarcoma, and is superior to previous markers such as myoglobin, muscle actins, and desmin. The FlI-1 gene product is expressed as part of the EWS/FLI-1 novel chimeric protein that results from the t(11;22)(q24;q12) translocation that occurs in approximately two-thirds of cases of PNET/Ewings sarcoma. Immunohistochemical detection of the FLI-1 gene product can thus complement detection of CD99/MIC2 for the positive identification of PNET/Ewings sarcoma. Markers of neuroblastoma include neural markers, such as chromogranin A, neurofilaments, and synaptophysin. Desmoplastic small round cell tumor (DSRCT) is a tumor with an unusual immunophenotype, including co-expression of cytokeratin, vimentin, and desmin; recent studies have also documented the use of antibodies to the WT-1 gene product as a marker of the chimeric EWS/WT-1 protein formed as a result of the t(11;22)(p13;q12) translocation that characterizes this unique tumor. In summary, there now exists a panel of antibodies defining immunohistochemical markers of individual SBRCTs that can identify rhabdomyosarcoma, PNET/Ewings sarcoma, neuroblastoma, and DSRCT with high sensitivity and specificity.

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O presente estudo teve como objetivo a análise das intervenções em saúde bucal, registradas em atas de reuniões, de 15 Conselhos Municipais de Saúde, próprios de municípios pertencentes à 17ª Regional de Saúde do Estado do Paraná. A análise documental deu-se a partir da identificação das temáticas em saúde, com ênfase na categorização por assunto das intervenções em saúde bucal. Os resultados evidenciaram os registros relativos à programação e organização da prestação de serviços, seguida pelo orçamento em saúde, como sendo os mais freqüentes do conjunto de temáticas analisadas. Pôde-se identificar, em 90 atas das 591 estudadas, o total de 134 registros de intervenções em saúde bucal. Por meio da análise desses últimos, percebeu-se que as intervenções em saúde bucal eram relatos de ações já concretizadas, desprovidas de características propositivas quando analisadas sob a dimensão do planejamento em saúde. Sinaliza-se para a necessidade da categoria odontológica de adquirir um maior padrão de representatividade nesses espaços, de forma a possibilitar vínculos importantes no processo de planejamento e de fortalecimento da saúde bucal enquanto direito de cidadania.

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The use of the concept of guild can be useful for the functional trophic categorization of communities, because there is no requirement identification of organisms in the level of species and not to treat each species as a separate entity. The aim of this study was to analyze the functional feeding groups (collectors-gatherers, collectors-filterers, shredders, predators and grazer-scrapers) of the macroinvertebrate communities of two reservoirs in the Midwestern region of São Paulo State. Sampling was carried out in rainy (March/April - 2001) and dry (July/August - 2001) seasons and the data obtained indicate that 'collectors-gatherers' is the most frequent guild. This fact suggests a great importance of organic matter as a food source in the diet of the macroinvertebrates analyzed.

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The development of new technologies that use peer-to-peer networks grows every day, with the object to supply the need of sharing information, resources and services of databases around the world. Among them are the peer-to-peer databases that take advantage of peer-to-peer networks to manage distributed knowledge bases, allowing the sharing of information semantically related but syntactically heterogeneous. However, it is a challenge to ensure the efficient search for information without compromising the autonomy of each node and network flexibility, given the structural characteristics of these networks. On the other hand, some studies propose the use of ontology semantics by assigning standardized categorization of information. The main original contribution of this work is the approach of this problem with a proposal for optimization of queries supported by the Ant Colony algorithm and classification though ontologies. The results show that this strategy enables the semantic support to the searches in peer-to-peer databases, aiming to expand the results without compromising network performance. © 2011 IEEE.

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Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation. © 2012 IEEE.

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Pós-graduação em Estudos Linguísticos - IBILCE

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC