Avaliação e promoção da leitura na formação de adultos com incapacidade intelectual

A promoção de competências de leitura é um tema central, tanto na educação regular, como na educação especial em crianças em idade pré-escolar e escolar. Todavia, as competências de leitura de indivíduos adultos com incapacidade intelectual são um domínio muito pouco estudado. São também escassos os estudos direcionados à avaliação dessas competências. Esta investigação propõe uma tradução/ adaptação do APAR (Assessment of Phonological Awareness and Reading), um protocolo de avaliação da consciência fonológica (CF) e da leitura especificamente concebido para a população em estudo. Procura-se também analisar os processos cognitivos envolvidos na leitura nos quais a intervenção produzirá resultados mais significativos e confirmar uma relação positiva entre a avaliação prévia de competências escolares em contexto formativo profissional e o efetivo desenvolvimento de competências de leitura. Foram avaliadas em dois momentos (pré e pós-teste) a CF e competências de leitura de 12 adultos com incapacidade intelectual ligeira, sendo estes sujeitos a um programa de intervenção, visando áreas menos desenvolvidas das suas competências que possibilitassem desempenhos de leitura mais fortes. Ao nível da análise quantitativa, foram comparados os resultados obtidos nos dois momentos de administração. No tratamento estatístico recorreu-se a análises de correlação de Spearman para determinar a presença de indicadores de desempenho ao nível da CF e ao cálculo de coeficientes de correlação de Pearson e Spearman para controlar variáveis externas como idade, sexo e habilitações literárias. Os resultados obtidos revelam desempenhos fracos ao nível da leitura/ compreensão textual e, em particular, da CF em pré-teste e ganhos significativos globais após implementação de uma intervenção baseada em medidas de avaliação prévia de competências de leitura/compreensão e CF

Analysis of six fungicides and one acaricide in still and fortified wines using solid-phase microextraction-gas chromatography/tandem mass spectrometry

A multiresidue gas chromatographic method for the determination of six fungicides (captan, chlorthalonil, folpet, iprodione, procymidone and vinclozolin) and one acaricide (dicofol) in still and fortified wines was developed. Solid-phase microextraction (SPME) was chosen for the extraction of the compounds from the studied matrices and tandem mass spectrometry (MS/MS) detection was used. The extraction consists in a solvent free and automated procedure and the detection is highly sensitive and selective. Good linearity was obtained with correlation coefficients of regression (R2) > 0.99 for all the compounds. Satisfactory results of repeatability and intermediate precision were obtained for most of the analytes (RSD < 20%). Recoveries from spiked wine ranged from 80.1% to 112.0%. Limits of quantification (LOQs) were considerably below the proposedmaximumresidue limits (MRLs) for these compounds in grapes and below the suggested limits for wine (MRLs/10), with the exception of captan.

QuEChERS: a sample preparation for extraction of carbaryl from rat feces

Carbamate compounds are an important group of cholinesterase inhibitors. There is a need for creating awareness regarding the risks of the inadequate carbamate use in the residential areas due to potential adverse human effects. Carbaryl is a commonly used pesticide worldwide. A simple, fast, and high throughput method was developed employing liquid chromatography with fluorescence detector to determine carbaryl residues in rat feces. The extraction was performed by using a rapid, easy, cheap, effective, reliable, and safe (QuEChERS) method, using acetonitrile as the extracting solvent. The parameters for the performance of the extraction method were optimized, such as ratio of mass of sample per volume of extraction solvent, QuEChERS content, and cleanup columns. Linear response was obtained for all calibration curves (solven and matrix-matched) over the established concentration range (5 500 mg/L) with a correlation coefficients higher than 0.999. The achieved recovery was 97.9% with relative standard deviation values of 1.1% (n D 4) at 167 mg/kg fortified concentration level and the limits of detection and quantification were 27.7 and 92.3 mg/kg respectively.

Collaborative Filtering with Semantic Neighbour Discovery

Nearest neighbour collaborative filtering (NNCF) algorithms are commonly used in multimedia recommender systems to suggest media items based on the ratings of users with similar preferences. However, the prediction accuracy of NNCF algorithms is affected by the reduced number of items – the subset of items co-rated by both users – typically used to determine the similarity between pairs of users. In this paper, we propose a different approach, which substantially enhances the accuracy of the neighbour selection process – a user-based CF (UbCF) with semantic neighbour discovery (SND). Our neighbour discovery methodology, which assesses pairs of users by taking into account all the items rated at least by one of the users instead of just the set of co-rated items, semantically enriches this enlarged set of items using linked data and, finally, applies the Collinearity and Proximity Similarity metric (CPS), which combines the cosine similarity with Chebyschev distance dissimilarity metric. We tested the proposed SND against the Pearson Correlation neighbour discovery algorithm off-line, using the HetRec data set, and the results show a clear improvement in terms of accuracy and execution time for the predicted recommendations.