Background: Surgical mortality data are collected routinely in high-income countries, yet virtually no low-or middle-income countries have outcome surveillance in place. The aim was prospectively to collect worldwide mortality data following emergency abdominal surgery, comparing findings across countries with a low, middle or high Human Development Index (HDI).Methods: This was a prospective, multicentre, cohort study. Self-selected hospitals performing emergency surgery submitted prespecified data for consecutive patients from at least one 2-week interval during July to December 2014. Postoperative mortality was analysed by hierarchical multivariable logistic regression.
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy consumption. Traffic is seen as an important factor affecting the problem of mapping applications into NoCs having as goal to minimize the total dynamic energy consumption of a complex system-on-a-chip (SoC). Experiments showed that failing to consider the bit transitions influence on traffic inevitably leads to an energy estimation error. This error is proportional to the amount of bit transitions in transmitted packets. In applications that present a large number of packets exchange, the error is propagated, significantly affecting the mapping results. This paper proposes a high-level application model that captures the traffic effect and uses it to describe the behavior of applications. In order to evaluate the quality of the proposed model, a set of embedded systems were described using both, a previously proposed model (that does not capture the traffic effect), and the model proposed here. Comparing the resulting mappings, those derived from the proposed model showed improvements in energy savings with regard to the other model for all experiments.
Categories and Subject DescriptorsB.7.1 [Integrated Circuits]: Types and Design Styles -advanced architectures, algorithms implemented in hardware, VLSI (very large scale integration).
Deliberate inhalation of volatile substances is a common and harmful practice among young persons worldwide. Recently, we described chromosome damage in children who chronically inhale volatile agents. Clinical and cytogenetic studies were performed for 15 "sniffing" children (13 boys and 2 girls), the purpose of which was to define the chromosomal effect of the acute intoxication. A significant increase in the rate of chromosome abnormalities and in the frequency of sister chromatid exchanges (SCEs) was found in sniffers vs. controls. The values were also higher in children who were acutely intoxicated than in those who chronically inhaled volatile agents. Clinical, socioeconomic, and cytogenetic findings are also discussed.
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