73 research outputs found
Monoamine oxidase contribution to valvular heart disease : more than meets the eye : [abstract]
Insight into pathogenesis of severe mitral valve regurgitation in a patient with obstructive hypertrophic cardiomyopathy : [abstract]
Valvular oxidative stress in patients with severe primary mitral regurgitation and atrial fibrillation : a pilot study : [abstract]
Severity of postoperative cardiac surgery patients: na evolution analysis according to TISS-28
Mitochondria and the central nervous system: searching for a pathophysiological basis of psychiatric disorders
Acute administration of fenproporex increased acetylcholinesterase activity in brain of young rats
Global air transport complex network : multi-scale analysis
Almost half of the world's population is carried by airlines each year, and understanding this mode of transport is important from economic and scientific perspectives. In recent years, the increasing availability of data has led to complex network and agent interaction models which attempt to gain better understanding of the air transport network and develop forecasts. In this case study paper, we review existing research on two key approaches, namely: (i) a top-down multi-scale network science approach, and (ii) a bottom-up entropy-maximization interaction network approach. Using simple socioeconomic indicators, we were able to construct a very accurate interaction model that can predict traffic volume, and the model can forward estimate the impact of population growth or fuel cost. Using network science approaches, we were able to identify community structures and relate them to economic outputs. We also saw how hubs evolved over time to become more influential. Looking into the future, using random graph theory, it seems that reduced flight cost will lead to increased hub influence. The disseminated knowledge in this case study paper will provide both academics and industry practitioners with steps forward to co-explore the interesting research landscape
Development of a novel flow sensor for copper trace analysis by electrochemical reduction of 4-methoxybenzene diazonium salt
Due to the rapidity and the effectiveness of the method, the reduction of diazonium salts has been widely used to functionalize electrodes for sensor applications. However, the resulting organic film usually designed to provide complexing capabilities for the species to be determined could affect the sensor properties. The electrochemical reduction of 4-methoxybenzene diazonium salt on graphite felt that leads to the formation of an organic film with unexpected high affinity for copper ions is presented. This property combined with a flow electrochemical system led us to achieve a sensitive sensor for copper detection, with good selectivity towards some common interferent ions. Keywords: Sensor, Graphite felt, Diazonium salts, Copper, Flo
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