Abstract A liquid-liquid hydrocyclone, so-called de-oiling equipment, was investigated for separation of oil droplets and wastewater in an Iranian petroleum unit. To generate the geometry and the mesh of the hydrocyclone Gambit software was used. Afterwards, by taking advantage of the Euler-Lagrangian principle, the governing equations covering the motion of fluid and that of particles in the hydrocyclone were solved. Initially, it was shown that the outcomes of CFD are in agreement with experimental data, and then 15 hydrocyclones with different overflow diameters, overflow lengths and input velocities were employed for more detailed analyses. The separation process through a hydrocyclone is counted as an economical process when ther is not only a low pressure drop inside the hydrocyclone, but also a high separation efficiency. As a result, regarding the mentioned criteria, the optimum hydrocyclone, whereby the highest performance of the hydrocyclone is exploited, was obtained by applying the 15 sets of CFD data to a Neural Network (NN) and then by optimizing the function generated by the NN by means of a Genetic Algorithm (GA). The innovation of this research work is the three-phase modeling.

INTRODUCTION: Most biomarkers in the blood and urine can also be detected in salivary samples. AIMS AND OBJECTIVES: To determine the relationship. between serum and salivary levels of Creatine Kinase MB in patients with acute myocardial infarction. DESIGN: In a case-control study, forty-one patients diagnosed with myocardial infarction and forty- two age and sex- matched controls were enrolled. METHODS: Saliva sampling by the spitting method was performed 12 to 24 hours after myocardial infarction, and in controls, between 9am and 12 noon. Salivary Creatine Kinase MB levels were measured by the photometric method. Mann Whitney U test and Spearman coefficient were used to analyze the data. RESULTS: There was no significant difference between patients with myocardial infarction and the controls in terms of the salivary levels of creatine kinase MB (case: 24 U/l vs. : 19.5 U/l, p=0.30). Patients showed no significant difference in median levels of salivary creatine kinase MB in terms of sex (p=0.69) and previous history of myocardial infarction (p=0.31). In all patients there was a weak positive relationship between serum and salivary levels of creatine kinase MB (rs=0.14, p= 0.39). CONCLUSIONS: Salivary creatine kinase MB level cannot be an indicator for diagnosis of myocardial infarction.