Livro didático público paranaense "lingua portuguesa e literatura" : o professor-autor e o gênero discursivo

Orientadora: Profa. Dra. Iara Bemquerer CostaAutor não autorizou a divulgação do arquivo digitalTese (doutorado) - Universidade Federal do Paraná, Setor de Ciências Humanas, Letras e Artes, Programa de Pós-Graduação em Letras. Defesa: Curitiba, 23/04/2012Bibliografia: fls. 163-178Área de concentração :Resumo: Esta pesquisa descritivo-explicativa tem como objetivo averiguar a relacao dialogica entre o Livro Didatico Publico Paranaense \Lingua Portuguesa e Literatura. (LDP-PR) e os livros representantes do genero discursivo Livro Didatico de Lingua Portuguesa (LD-LP). A partir de uma perspectiva socio-historico-discursiva e empregando fontes bibliografica e documental, desenvolvemos esta pesquisa em duas etapas. Na primeira, procuramos efetuar uma reflexao teorica sobre os Generos Discursivos (BAKHTIN) e sobre como a abordagem sociointeracionista se apropria desta concepcao bakhtiniana e discute a questao da didatizacao dos generos (SCHNEUWLY e DOLZ). Na segunda, aplicamos estes pressupostos ao LDP-PR com o intuito de averiguar o encaminhamento didatico dado aos textos de generos discursivos empregados neste material didatico. A partir desta averiguacao do conteudo tematico do LDP-PR, realizada pelo trabalho com as praticas de leitura, escrita e oralidade, buscamos sustentacao para a analise deste LD como um exemplar do genero LD-LP. Nossos resultados mostram que o LDP-PR inova na escolha do conteudo tematico, mas mantem o estilo (marcado pelo emprego de discursos injuntivos, explicativos e expositivos) e a construcao composicional (de textualidade multimodal) tipicos do genero LD-LP. Creditamos a autoria multipla (constituida por professores da rede escolar), marcada pela experiencia reduzida e a merce da Secretaria de Estado da Educacao do Parana (SEED-PR) este apego ao genero consolidado.Abstract: This descriptive-explanatory research aims to investigate the dialogic relationship between the Parana‘s Public Textbook "Portuguese and Literature" (LDP-PR) and the representative books of the discursive genre of Portuguese Textbook (LP-LD). From a socio-historic-discursive perspective and by the use of bibliographical and documentary sources, we developed this research in two stages. In the first one, we carried out a theoretical reflection about the Discursive Genres (BAKHTIN) and how the social interactionist approach appropriates this Bakhtinian concept and discusses the issue of making genre educational (SCHNEUWLY and DOLZ). In the second one, we applied these assumptions to the LDP-PR with the intent of investigating the educational directions given to the texts of discursive genres employed in such a teaching materials. From this investigation of the LDP-PR‘s thematic contents, performed through the work with reading, writing and speaking skills practices, we sought support for the analysis of this LD as an exemplar of the LD-LP genre. Our results reveal that the LDP-PR innovates the choice of the thematic content but retains the style (marked by the use of injunctive, explanatory and expository discourses) and compositional construction (multimodal textuality) that is typical of the LD-LP genre. We attribute to the multiple authorship (made up of teachers from the public educational system), marked by limited experience and at the mercy of the Parana‘s State Department of Education (SEED-PR), this attachment to the consolidated genre

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management