9 resultados para Syntactic And Semantic Comprehension Tasks

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Metalinguistic skill is the ability to reflect upon language as an object of thought. Amongst metalinguistic skills, two seem to be associated with reading and spelling: morphological awareness and phonological awareness. Phonological awareness is the ability of reflecting upon the phonemes that compose words, and morphological awareness is the ability of reflecting upon the morphemes that compose the words. The latter seems to be particularly important for reading comprehension and contextual reading, as beyond phonological information, syntactic and semantic information are required. This study is set to investigate - with a longitudinal design - the relation between those abilities and contextual reading measured by the Cloze test. The first part of the study explores the relationship between morphological awareness tasks and Cloze scores through simple correlations and, in the second part, the specificity of such relationship was inquired using multiple regressions. The results give some support to the hypothesis that morphological awareness offers an independent contribution regarding phonological awareness to contextual reading in Brazilian Portuguese.

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The saccadic paradigm has been used to investigate specific cortical networks involving visuospatial attention. We examined whether asymmetry in theta and beta band differentiates the role of the hemispheres during the execution of two different prosacadic conditions: a fixed condition, where the stimulus was presented at the same location; and a random condition, where the stimulus was unpredictable. Twelve healthy volunteers (3 male; mean age: 26.25) performed the task while their brain activity pattern was recorded using quantitative electroencephalography. We did not find any significant difference for beta, slow- and fast-alpha frequencies for the pairs of electrodes analyzed. The results for theta band showed a superiority of the left hemisphere in the frontal region when responding to the random condition on the right, which is related to the planning and selection of responses, and also a greater activation of the right hemisphere during the random condition, in the occipital region, related to the identification and recognition of patterns. These results indicate that asymmetries in the premotor area and the occipital cortex differentiate memory- and stimulus-driven tasks. (C) 2011 Elsevier Inc. All rights reserved.

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While the use of statistical physics methods to analyze large corpora has been useful to unveil many patterns in texts, no comprehensive investigation has been performed on the interdependence between syntactic and semantic factors. In this study we propose a framework for determining whether a text (e.g., written in an unknown alphabet) is compatible with a natural language and to which language it could belong. The approach is based on three types of statistical measurements, i.e. obtained from first-order statistics of word properties in a text, from the topology of complex networks representing texts, and from intermittency concepts where text is treated as a time series. Comparative experiments were performed with the New Testament in 15 different languages and with distinct books in English and Portuguese in order to quantify the dependency of the different measurements on the language and on the story being told in the book. The metrics found to be informative in distinguishing real texts from their shuffled versions include assortativity, degree and selectivity of words. As an illustration, we analyze an undeciphered medieval manuscript known as the Voynich Manuscript. We show that it is mostly compatible with natural languages and incompatible with random texts. We also obtain candidates for keywords of the Voynich Manuscript which could be helpful in the effort of deciphering it. Because we were able to identify statistical measurements that are more dependent on the syntax than on the semantics, the framework may also serve for text analysis in language-dependent applications.

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Background: Early progressive nonfluent aphasia (PNFA) may be difficult to differentiate from semantic dementia (SD) in a nonspecialist setting. There are descriptions of the clinical and neuropsychological profiles of patients with PNFA and SD but few systematic comparisons. Method: We compared the performance of groups with SD (n = 27) and PNFA (n = 16) with comparable ages, education, disease duration, and severity of dementia as measured by the Clinical Dementia Rating Scale on a comprehensive neuropsychological battery. Principal components analysis and intergroup comparisons were used. Results: A 5-factor solution accounted for 78.4% of the total variance with good separation of neuropsychological variables. As expected, both groups were anomic with preserved visuospatial function and mental speed. Patients with SD had lower scores on comprehension-based semantic tests and better performance on verbal working memory and phonological processing tasks. The opposite pattern was found in the PNFA group. Conclusions: Neuropsychological tests that examine verbal and nonverbal semantic associations, verbal working memory, and phonological processing are the most helpful for distinguishing between PNFA and SD.

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XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. Yet, a thorough investigation of current approaches led us to identify several similarity aspects, i.e., sub-tree related structural and semantic similarities, which are not sufficiently addressed while comparing XML documents. In this paper, we provide an integrated and fine-grained comparison framework to deal with both structural and semantic similarities in XML documents (detecting the occurrences and repetitions of structurally and semantically similar sub-trees), and to allow the end-user to adjust the comparison process according to her requirements. Our framework consists of four main modules for (i) discovering the structural commonalities between sub-trees, (ii) identifying sub-tree semantic resemblances, (iii) computing tree-based edit operations costs, and (iv) computing tree edit distance. Experimental results demonstrate higher comparison accuracy with respect to alternative methods, while timing experiments reflect the impact of semantic similarity on overall system performance.

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The present study investigated whether postural responses are influenced by the stability constraint of a voluntary, manual task. We also examined how task constraint and first experience (the condition with which the participants started the experiment) influence the kinematic strategies used to simultaneously accomplish a postural response and a voluntary task. Twelve healthy, older adults were perturbed during standing, while holding a tray with a cylinder placed with the flat side down (low constraint, LC) or with the rolling, round side down (high constraint, HC). Central set changed according to the task constraint, as shown by a higher magnitude of both the gastrocnemius and tibialis anterior muscle activation bursts in the HC than in the LC condition. This increase in muscle activation was not reflected, however, in changes in the center of pressure or center of mass displacement. Task constraint influenced the peak shoulder flexion for the voluntary tray task but not the peak hip flexion for the postural task. In contrast, first experience influenced the peak hip flexion but not the peak shoulder flexion. These results suggest an interaction between two separate control mechanisms for automatic postural responses and voluntary stabilization tasks.

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As condições e processos de trabalho penosos dos pronto-socorros somados a elevada demanda frente à capacidade e gravidade dos casos, dificultam as decisões, impactam no atendimento e favorecem conflitos. Trata-se de um estudo de caso, exploratório e qualitativo, utilizou-se dados documentais, entrevistas semiestruturadas e observação do trabalho, especificamente dos porteiros. Objetivou-se verificar como características da organização do trabalho aumentam conflitos e agressões em um pronto-socorro comprometendo os atendimentos. Constatou-se que os porteiros estão na linha de frente e são expostos à pressão dos usuários por atendimento. Para solucionar conflitos, extrapolam regras e procedimentos, realizam tarefas além da sua competência, podendo alterar o fluxo e a qualidade do atendimento. Os arranjos organizacionais desconsideram os porteiros como parte da equipe de cuidados expondo-os a conflitos e agressões. Espera-se contribuir para mudanças, melhorar as relações, a segurança e o fluxo de atendimento.

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Analisam-se as características de ofertas de emprego do setor da Informação-Documentação. A mostra foi obtida de anúncios na Internet, feitos por empresas e instituições privadas brasileiras, durante o ano de 2010. A atividade foi realizada no âmbito de pesquisa maior, que tem como objetivo geral construir uma taxonomia que classifique e hierarquize as competências e conhecimentos exigidos pelas empresas, bem como as características dos postos oferecidos. Extraiu-se a informação de 200 ofertas de emprego obtidas nos portais Catho e Portal do bibliotecário. Cada entrada foi mantida em seu contexto de incidência e com a expressão original. Os termos obtidos passaram por um processo de normalização. A análise busca classificar e valorar as atividades, conhecimentos e tarefas mais solicitados, bem como as aptidões, competências e habilidades, além das incidências das unidades e dos profissionais de informação.

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Abstract Background Once multi-relational approach has emerged as an alternative for analyzing structured data such as relational databases, since they allow applying data mining in multiple tables directly, thus avoiding expensive joining operations and semantic losses, this work proposes an algorithm with multi-relational approach. Methods Aiming to compare traditional approach performance and multi-relational for mining association rules, this paper discusses an empirical study between PatriciaMine - an traditional algorithm - and its corresponding multi-relational proposed, MR-Radix. Results This work showed advantages of the multi-relational approach in performance over several tables, which avoids the high cost for joining operations from multiple tables and semantic losses. The performance provided by the algorithm MR-Radix shows faster than PatriciaMine, despite handling complex multi-relational patterns. The utilized memory indicates a more conservative growth curve for MR-Radix than PatriciaMine, which shows the increase in demand of frequent items in MR-Radix does not result in a significant growth of utilized memory like in PatriciaMine. Conclusion The comparative study between PatriciaMine and MR-Radix confirmed efficacy of the multi-relational approach in data mining process both in terms of execution time and in relation to memory usage. Besides that, the multi-relational proposed algorithm, unlike other algorithms of this approach, is efficient for use in large relational databases.