Comparação entre métodos de digestão de amostras de castanha-do-brasil (Bertholletia excelsa H.B.K.) para análise de selênio.

Em virtude da importância do selênio (Se) e de sua presença significativa na castanha-do-brasil, objetivou-se neste trabalho avaliar dois métodos de digestão na análise do teor de Se em castanhas de ouriços procedentes do Estado do Pará, uma vez que estudos anteriores apresentam resultados da grande variabilidade entre castanhas individuais e misturas. Neste estudo priorizou-se a avaliação do teor de selênio por ouriço, homogeneizando as castanhas contidas no mesmo. Dois métodos de digestão foram testados: o primeiro por via úmida, que consiste na reação com os ácidos nítrico e perclórico a quente, e o segundo usando energia de micro-ondas, com ácido nítrico e peróxido de hidrogênio. Aos resultados obtidos foram aplicados os testes T-Student e ANOVA, que demonstraram haver igualdade entre eles num intervalo de confiança de 95%

Application of Neural Networks to the study of stellar model solutions

Artificial neural networks (ANN) have different applications in Astronomy, including data reduction and data mining. In this work we propose the use ANNs in the identification of stellar model solutions. We illustrate this method, by applying an ANN to the 0.8M$_\odot$ star CG Cyg B. Our ANN was trained using 60,000 different 0.8M$_\odot$ stellar models. With this approach we identify the models which reproduce CG Cyg B's position in the HR diagram. We observe a correlation between the model's initial metal and helium abundance which, in most cases, does not agree with a helium to metal enrichment ratio $\Delta$Y/$\Delta$Z=2. Moreover, we identify a correlation between the model's initial helium/metal abundance and both its age and mixing-length parameter. Additionally, every model found has a mixing-length parameter below 1.3. This means that CG Cyg B's mixing-length parameter is clearly smaller than the solar one. From this study we conclude that ANNs are well suited to deal with the degeneracy of model solutions of solar type stars.Comment: Accepted for publication in New Astronom

Comparação do teor de minerais em vinhos do Vale do Submédio São Francisco, Brasil.

Neste trabalho teve-se como objetivo analisar 28 minerais por espectrometria de emissão ótica com plasma acoplado indutivamente (ICP-OES) em 48 amostras de vinhos provenientes de três vinícolas desta região

Promoting the Health of Parents & Children: Addressing Perinatal Mental Health by Building Medical Provider Capacity Through Perinatal Psychiatry Access Programs

Mental health conditions are the most common obstetric complications of the perinatal period, impacting 1 in 5 individuals during pregnancy and the year following pregnancy. Perinatal mental health (PMH) conditions have deleterious effects on the health of perinatal individuals and their children, and are a leading and preventable cause of maternal mortality. Nevertheless, PMH conditions are underrecognized, underdiagnosed, and undertreated. To address these gaps, Massachusetts created the Massachusetts Child Psychiatry Access Program (MCPAP) for Moms to build the capacity of frontline medical providers to address PMH conditions by providing education, consultation, and resources and referrals. MCPAP for Moms has emerged as a successful and scalable model with at least 25 states or organizations implementing or developing similar Perinatal Psychiatry Access Programs. This report summarizes the Perinatal Psychiatry Access Program model and its individual and national impact