3 resultados para quantitative method

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O presente trabalho de investigação visa aprofundar o campo de estudo no âmbito do Bem-Estar subjetivo. Especificamente, propõe-se apreciar qual o papel do Processamento Cognitivo "Aberto" (e outras formas de Coping) na relação entre Satisfação com o Suporte Social e o Afecto Positivo e Negativo. A metodologia usada segue um método correlaciona/ quantitativo através do recurso ao software de análise estatística SPSS. As análises de regressão simples e múltipla mostraram que diferentes variáveis, como as cognitivas (Processamento Cognitivo "Aberto" e outras formas de Coping) e os pessoais e sócio-demográficas (Género e Grau de Escolaridade), se encontram associados aos níveis de Afecto, quer Positivo quer Negativo, e contribuem também de formas distintas para explicar a sua variabilidade. Para além disso, as mesmas relações parecem ser influenciadas pelos níveis de Saúde Mental dos participantes. Os resultados do presente estudo sugerem importantes implicações teóricas e práticas no âmbito da Saúde Mental. /ABSTRACT: This research work aims to deepen the field of study within the framework of Subjective Well-Being. Specifically, it proposes to assess the role of the Broad-Minded Coping (and other forms of Coping) in the relationship between Satisfaction with the Social Support and the Positive and Negative Affect. The methodology used follows a correlative quantitative method through the use of the statistical analysis software SPSS. Multiple and simple regression analyses showed that different variables, such as cognitive (Broad-Minded Coping and other forms of Coping) and personal and socio-demographic data (Gender and Scholarization), are associated with the levels of Affect, either Positive or Negative, and they also contribute differently to explain its variability. ln addition, these relationships seem to be influenced by the participants' Mental Health levels. The results of this study suggest important theoretical and practical implications in the context of Mental Health.

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The aim of this study was to investigate the action of inhibiting S. aureus biofilm formation, and the ability to eliminate formed biofilm, by alcoholic extracts of green, red and brown propolis from Brazil. Ten isolates of S. aureus have been tested, 8 field isolates, 1 MRSA and 1 ATCC 25923, by microplate quantitative method. For the evaluation of inhibitory action, the isolates were inoculated, in triplicate, in TSB 1% glucose in the presence of green (1), red (2) and brown (4) propolis extracts. Biofilm formation was evaluated by optical reading, compared to a negative control consisting of a mixture of TSB and extract. For biofilm elimination assay, extracts were added to plates with 24h cultures of the same isolates. Assays were repeated three times on three different days. Eight out of the 10 isolates produced less biofilm in the presence of the green propolis extracts, so the inhibitory effect is 80%. Brown propolis extracts inhibited the formation of biofilm in 10% to 70% of the isolates and the red extracts in 30% to 80%. Regarding the biofilm elimination activity, green propolis extract was positive for 9 out of the 10 isolates (90%), the brown propolis extracts were positive for 0% to 100% isolates and red extracts for 0% to 10% isolates.

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The Pine Wood Nematode (PWN) Bursaphelenchus xylophilus is a severe forest pathogen in countries where it has been introduced and is considered a worldwide quarantine organism. In this study, protein markers for differentiating populations of this nematode were identified by studying differences among four selected Iberian and one American population. These populations were compared by quantitative proteomics (iTRAQ). From a total of 2860 proteins identified using the public database from the B. xylophilus genome project, 216 were unambiguous and significantly differentially regulated in the studied populations. Comparisons of their pairwise ratio were statistically treated and supported in order to convert them into discrete character states, suggesting that 141 proteins were not informative as population specific markers. Application of the Character Compatibility methodology on the remaining 75 proteins (belonging to families with different biological functions) excludes 27 which are incompatible among them. Considering only the compatible proteins, the method selects a subset of 30 specific unique protein markers which allowed the compared classification of the Iberian isolates. This approach makes it easier search for diagnostic tools and phylogenetic inference within species and populations of a pathogen exhibiting a high level of genetic diversity.