901 resultados para 810 American literature in English
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Includes bibliography
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Includes bibliography
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Incluye Bibliografía
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Includes bibliography
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Incluye Bibliografía
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Incluye Bibliografía
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This paper analyzes Joan Robinson's growth model and then adapts it in order to provide an explanatory taxonomy of Growth Eras. The Growth Eras or Ages were for Robinson a way to provide logical connections between output growth, capital accumulation, the degree of thriftiness, the real wage and illustrate a catalogue of growth possibilities. This modified taxonomy follows the spirit of Robinson's work, but it takes different theoretical approaches. which imply that some of the classifications do not fit perfectly the ones here suggested. Latin America has moved from a Golden Age in the 1950s and 1960s to a Leaden Age in the 1980s, having two traverse periods, one of which the process of growth and industrialization accelerated in the late 1960s and early 1970s, which is referred to as a Galloping Platinum Age, an one in which a process of deindustrialization and reprimarization and maquilization of the productive structure took place, starting in the 1990s, which could be referred as the Creeping Platinum Age.
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An exam of the occurrences of the PRESENT PERFECT in Englishwas made in such a way as to establish the prevailing semantic features ofthis verbal form. I t was verified up to what an extent the meaning of thePERFECTIVE thus characterized is expressed in the corresponding Portuguesesentences in the PRETÉRITO PERFEITO. It was found that in Portuguesethe verbal inflexion itself characterizes in a much smaller degree the PERFECTIVE ASPECT.
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Considering that the process of teacher training in universities takes into account the confrontation of knowledge produced by the scientific methods, the current study intended to identify what are the main contributions of the Brazilian scientific production of Physical Education teaching. Therefore, an exploratory study was done from the articles published on the subject in the two main periodicals of the area. The data analyzes allowed us to verify the relevancy of the knowledge produced and to suggest alternatives to its inclusion in the docent training programs.
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Background: Genome-wide association studies (GWAS) require large sample sizes to obtain adequate statistical power, but it may be possible to increase the power by incorporating complementary data. In this study we investigated the feasibility of automatically retrieving information from the medical literature and leveraging this information in GWAS. Methods: We developed a method that searches through PubMed abstracts for pre-assigned keywords and key concepts, and uses this information to assign prior probabilities of association for each single nucleotide polymorphism (SNP) with the phenotype of interest - the Adjusting Association Priors with Text (AdAPT) method. Association results from a GWAS can subsequently be ranked in the context of these priors using the Bayes False Discovery Probability (BFDP) framework. We initially tested AdAPT by comparing rankings of known susceptibility alleles in a previous lung cancer GWAS, and subsequently applied it in a two-phase GWAS of oral cancer. Results: Known lung cancer susceptibility SNPs were consistently ranked higher by AdAPT BFDPs than by p-values. In the oral cancer GWAS, we sought to replicate the top five SNPs as ranked by AdAPT BFDPs, of which rs991316, located in the ADH gene region of 4q23, displayed a statistically significant association with oral cancer risk in the replication phase (per-rare-allele log additive p-value [p(trend)] = 2.5 x 10(-3)). The combined OR for having one additional rare allele was 0.83 (95% CI: 0.76-0.90), and this association was independent of previously identified susceptibility SNPs that are associated with overall UADT cancer in this gene region. We also investigated if rs991316 was associated with other cancers of the upper aerodigestive tract (UADT), but no additional association signal was found. Conclusion: This study highlights the potential utility of systematically incorporating prior knowledge from the medical literature in genome-wide analyses using the AdAPT methodology. AdAPT is available online (url: http://services.gate.ac.uk/lld/gwas/service/config).