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ijs-7778
Preparation and Characterization of TiO2 Nanoparticles With and Without Magnetic Field Effect Via Hydrothermal Technique
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     With and without the use of magnetic fields, titanium dioxide (TiO2) nanoparticles were synthesized using the hydrothermal method at extremely high temperatures and pressures. Titanium tetra isopropoxide [Ti(C12H28O4)] was used for the preparation, which was performed at pH 7 and under temperatures of 160 and 190 ˚C. UV spectroscopy, XRD crystallography, FE-SEM microscopy were used for characterizations. From UV spectroscopy, the energy gap values were clearly affected by the increase in temperature and the presence of the magnetic field. At the temperatures of 160 and 190 oC for TiO2 without magnetic field, FE-SEM microscopy images have shown an average crystal diameter of 13.436 and 12.551 nm, respectively. While for TiO2 with the presence of magnetic field, the crystal diameters were found to be 14.665 and 14.468 nanometers, respectively, at same temperatures. Additionally, XRD analysis has revealed that the average crystal size of TiO2 at 160 and 190 ˚C without a magnetic field is 13.13 and 11.59 nanometers, respectively. While the crystal sizes for TiO2 in the presence of a magnetic field were determined to be 13.19 and 12.93 nanometers, respectively.

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة
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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be  used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto  type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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