The Effect of Emotional Intelligence on the Relationship between Negative Mood and Risk Taking

Emotional intelligence is conceptualized as encompassing perception, utilization, and management of emotion. Research suggests that the managing one’s own emotions subscale (MOE) may be particularly relevant to risky behaviors such as substance use and gambling. The present study examined the effects of emotional intelligence and mood manipulation on risk taking. Participants were randomly assigned to a positive, negative, or neutral mood condition. Baseline measures of mood state were obtained by the Positive and Negative Affect Schedule (PANAS), followed by self-report questionnaires. Participants were then presented with a brief film clip for the mood manipulation. Immediately thereafter, a second PANAS was completed, followed by the Iowa Gambling Task (IGT) to simulate risk taking, and a third PANAS. A mixed model repeated measures analysis indicated that the mood induction was effective. Moderation analyses revealed that under high levels of negative affect change, MOE moderates the relationship between change in negative affect and advantageous selections on the IGT. The results indicate that MOE may play a prominent role in reducing risk taking when in a negative mood. This study has implications for addiction, as individuals with higher emotional intelligence may engage in less risk taking when in a negative mood, whereas individuals with lower emotional intelligence may be prone to risky behaviors

Chemical composition and decomposition rate of plants used as green manure Composição química e velocidade de decomposição de plantas visando a adubação verde

Productive systems in which green manure is the source of nutrients must develop more efficient ways to improve soil nutrient dynamics. A well-synchronized balance must be established between specific crop demands and supply of nutrients from decomposition. However, scientific data and information to help improve green manure management in Brazil is still insufficient. For that reason, a number of arboreal species was first chemically characterized and then subjected to decomposition analysis in order to establish a correlation between some parameters. Species were grouped together based on the similarity of chemical composition and decomposition rate. The lignin:N and (lignin+polyphenol):N ratios were found to have the greatest correlation coefficient with the dry matter decomposition rate and nitrogen release.<br>Sistemas produtivos que utilizam a adubação verde prezam por uma dinâmica mais eficiente de nutrientes no solo. Nesse sentido, é importante buscar a sincronia entre a demanda nutricional da cultura e a disponibilidade de nutrientes provenientes da decomposição. Esse estudo objetivou estabelecer uma correlação entre a composição química e a velocidade de decomposição de espécies em um sistema agroflorestal. Para tanto, realizou-se a caracterização química de espécies arbóreas, seguida de estudos de decomposição e busca de correlação entre os parâmetros analisados. De posse dos resultados, foi possível agrupar espécies com composição química e taxas de decomposição semelhantes. As relações lignina:N e (lignina+polifenol):N apresentaram os maiores coeficientes de correlação com a velocidade de decomposição de massa seca e liberação de nitrogênio