The study showed that all extracts (aqueous, ethanolic and acetonic) of the leaves of Eucalyptus and Myrtus plants had a inhibitory effect on the growth of all types of yeasts studied, acetone extract recorded the highest inhibition of yeastat 100ppm concentration,The inhibition was 35mm, 34mm, 24mm and 20mm for Candida parapsilosis, Candida glabrata, Candida tropicalis and Candida albicans respectively, The experiments above showed the least significant differences at 0.05 level.The results ofE. Cammldulensis ethanolic tincture analysis has shown the presence of 44 biologically active substances. The main Eucalyptus leaves component was: 2-Bicyclo (2-2.1) heptanol (12.37%), Ledol (8.23%),1,2,4- Benzenetriol (8.45%) and that contain spathulenol (7.47%) and small quantities of Eucalyptus(1,8- cineol)(0.68%). The results of Myrtuscommunis ethanolic tincture analysis have shown 53 biologically active substances. The main Myrtus leaves component was 2(5H)-Furanone(43.98), 10-Methyl-octadec-1-ene(6.85), n-Decanoic acid (4.17), cyclopropanol (4.43), phenol, 5-methoxy-2,3,4-trimethyl (4.08), 1,2,3-Benzenetriol (4.04), desaspidinol (3.98), linalylisobutyrate (3.41), phlorobutyrophenone (3.13),3-Cyclohexene-1-methanol (1.08),1,5-Dimethyl-1-vinyl-4-hexenyl isobutyrate (1.05) and contain small quantities of α-pinene (0.05), limonene (0.09).
A study to find the optimum separators pressures of separation stations has been performed. Stage separation of oil and gas is accomplished with a series of separators operating at sequentially reduced pressures. Liquid is discharged from a higher-pressure separator into the lower-pressure separator. The set of working separator pressures that yields maximum recovery of liquid hydrocarbon from the well fluid is the optimum set of pressures, which is the target of this work.
A computer model is used to find the optimum separator pressures. The model employs the Peng-Robinson equation of state (Peng and Robinson 1976) for volatile oil. The application of t
This Book is the second edition that intended to be textbook studied for undergraduate/ postgraduate course in mathematical statistics. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces events and probability review. Chapter Two devotes to random variables in their two types: discrete and continuous with definitions of probability mass function, probability density function and cumulative distribution function as well. Chapter Three discusses mathematical expectation with its special types such as: moments, moment generating function and other related topics. Chapter Four deals with some special discrete distributions: (Discrete Uniform, Bernoulli, Binomial, Poisson, Geometric, Neg
... Show More