15 research outputs found

    Dialogando: Análise de dois perfis interativos no Twitter

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    O presente trabalho busca empreender uma reflexão teórico-conceitual acerca dos comportamentos dos indivíduos diante da rede social Twitter, destacando a construção das subjetividades nesta mídia instantânea e marcada pela intensa interatividade. Analisaremos dois perfis: o de um dramaturgo com uma carreira sólida no meio televisivo brasileiro, que pode ser classificado de formador de opinião, e o outro constituído por um estudante de Comunicação Social que interage com um grupo particular e progressivamente ampliado de amigos, a partir das ferramentas da rede social em questão

    Epilepsy Detection Using Artificial Neural Networks

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    Epilepsy is a neurological disorder, where there is a cluster of brain cells that behave in a hyperexcitable manner, the individual can promote injuries, trauma or, in more severe cases, sudden death. Electroencephalogram (EEG) is the most used way to detect epileptic seizures. Therefore, more simplified methods of analysis of the EEG can help in the diagnosis and treatment of these individuals more quickly. In this study, we extracted pertinent EEG characteristics to assess the epileptic seizure period. We use Perceptron Multilayer artificial neural networks to classify the period of the crisis, obtaining a more efficient diagnosis. The multilayer neural network obtained an accuracy of 98%. Thus, the strategy of extracting characteristics and the architecture of the assigned network were sufficient for a rapid and accurate diagnosis of epilepsy

    New insights into the antimicrobial action of cinnamaldehyde towards escherichia coli and its effects on intestinal colonization of mice

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    Escherichia coli is responsible for cases of diarrhea around the world, and some studies have shown the benefits of cinnamaldehyde in the treatment of bacterial disease. Therefore, the objective of this study was to evaluate the effects of cinnamaldehyde in mice colonized by pathogenic E. coli, as well as to provide more insights into its antimicrobial action mechanism. After determination of minimum inhibitory (MIC) and minimum bactericidal (MBC) concentrations, the interference of cinnamaldehyde in macromolecular pathways (synthesis of DNA, RNA, protein, and cell wall) was measured by incorporation of radioisotopes. The anti-adhesive properties of cinnamaldehyde towards E. coli 042 were evaluated using human epithelial type 2 (HEp-2) cells. Intestinal colonization was tested on mice, and the effect of cinnamaldehyde on Tenebrio molitor larvae. Cinnamaldehyde showed MIC and MBC values of 780 ÎĽg/mL and 1560 ÎĽg/mL, respectively; reduced the adhesion of E. coli 042 on HEp-2 cells; and affected all the synthetic pathways evaluated, suggesting that compost impairs the membrane/cell wall structure leading bacteria to total collapse. No effect on the expression of genes related to the SOS pathway (sulA and dinB1) was observed. The compound did not interfere with cell viability and was not toxic against T. molitor larvae. In addition, cinnamaldehyde-treated mice exhibited lower levels of colonization by E. coli 042 than the untreated group. Therefore, the results show that cinnamaldehyde is effective in treating the pathogenic E. coli strain 042 and confirm it as a promising lead molecule for the development of antimicrobial agents

    Introgression of wild alleles into the tetraploid peanut crop to improve water use efficiency, earliness and yield.

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    The introduction of genes from wild species is a practice little adopted by breeders for the improvement of commercial crops, although it represents an excellent opportunity to enrich the genetic basis and create new cultivars. In peanut, this practice is being increasingly adopted. In this study we present results of introgression of wild alleles from the wild species Arachis duranensis and A. batizocoi improving photosynthetic traits and yield in a set of lines derived from the cross of an induced allotetraploid and cultivated peanut with selection under water stress. The assays were carried out in greenhouse and field focusing on physiological and agronomic traits. A multivariate model (UPGMA) was adopted in order to classify drought tolerant lines. Several lines showed improved levels of tolerance, with values similar to or greater than the tolerant control. Two BC1F6 lines (53 P4 and 96 P9) were highlighted for good drought-related traits, earliness and pod yield, having better phenotypic profile to the drought tolerant elite commercial cultivar BR1. These lines are good candidates for the creation of peanut cultivars suitable for production in semiarid environments

    Introgression of wild alleles into the tetraploid peanut crop to improve water use efficiency, earliness and yield - Fig 6

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    <p>Climate data registered during assays in Lagoa Seca (A) and Campina Grande (B), PB, Brazil. S- sowing, B- blooming, BFP- beginning of pod formation, FPM- full pod maturation. Arrows mean periods of <i>Indian summer</i>.</p

    Pearson correlation between physiological traits: Stomatal conductance (<i>g</i><sub>s</sub>), net photosynthetic rate (<i>P</i><sub>N</sub>), instantaneous carboxylation efficiency (<i>P</i><sub>N</sub>/<i>C</i><sub>i</sub>), instantaneous water use efficiency (WUE), non-photochemical quenching (NPQ), transpiration rate (<i>E</i>), and intercellular CO<sub>2</sub> concentration (<i>C</i><sub>i</sub>) of peanut lines.

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    <p>Pearson correlation between physiological traits: Stomatal conductance (<i>g</i><sub>s</sub>), net photosynthetic rate (<i>P</i><sub>N</sub>), instantaneous carboxylation efficiency (<i>P</i><sub>N</sub>/<i>C</i><sub>i</sub>), instantaneous water use efficiency (WUE), non-photochemical quenching (NPQ), transpiration rate (<i>E</i>), and intercellular CO<sub>2</sub> concentration (<i>C</i><sub>i</sub>) of peanut lines.</p
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