Fuel Prediction and Reduction in Public Transportation by Sensor Monitoring and Bayesian Networks.

We exploit the use of a controller area network (CAN-bus) to monitor sensors on the buses of local public transportation in a big European city. The aim is to advise fleet managers and policymakers on how to reduce fuel consumption so that air pollution is controlled and public services are improved. We deploy heuristic algorithms and exhaustive ones to generate Bayesian networks among the monitored variables.

Lipid lowering effect of Cinnamomum zeylanicum in hyperlipidaemic albino rabbits.

The purpose of the present study was to investigate the lipid lowering effect of Cinnamomum zeylanicum (Cinnamon) in hyperlipidaemic albino rabbits. For this purpose, forty eight albino rabbits were randomly divided into eight equal groups; untreated control on normal routine feed, untreated control on butter and cholesterol, treated control on synthetic cholesterol lowering drug simvastatin (Tablet survive (R) 20 mg), three treated groups on three respective doses of C. zeylanicum bark powder and two treated groups on water and methanol extracts of C.