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.
There is an increase in HIV-1-infected patients requiring cardiac surgery, a decrease in AIE, however NIVD and CAD increasingly seen. Cardiac surgery did not blunt CD4 response induced by antiretrovirals. The late cause of death were not AIDS-related events.
The application of Cellular Automata to the problem of robot path planning is presented. It is shown that a Cellular Automata allows the efficient computation of an optimal collision free path from an initial to a goal configuration on a physical space cluttered with obstacles. The cellular space represents a discrete version of the workspace for a mobile robot. The path computation is performed by the successive application of two simple local transition functions. The method was experimentally tested for a small robot on a real environment, in all cases very good paths were obtained with negligible computer effort. These results indicate that the Cellular Automata approach is a very promising method for real time robot path planning
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