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In this work, SnO2:TiO2 nano composite with silver dopant have been prepared by chemical route method at preparation temperature 100 ℃, with 6% Ag ratio. Titanium chloride (TiCl3) has been used as the precursors of TiO2 and tin chloride (SnCl2) were taken as the precursors of SnO2 in the laboratory. The prepared samples were described by FESEM, X-Ray diffraction and uv-visible spectrophotometer. Results show that compared to pure SnO2 and pure TiO2,SnO2:TiO2 nano composite calcined 400℃ shows a large surface area. The average crystalline size was estimated from XRD analysis by using Debye-Scherrer’s formula and the result shows that the crystalline size increases from (27.78) nm to (29.2354)nm after adding Ag. Bio activity application of the prepared composite has been tested after immersion SnO2:TiO2 nano composite in the simulated body fluid SBF, the morphology and particle size of the prepared immersed samples have been estimated after 20 days by FESEM images. [ABSTRACT FROM AUTHOR]

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Fe2O3 nanoparticles were synthesized by thermal hydrolysis. A cellulose-Fe2O3 nanocomposite was extracted from the peels of mandarin citrus fruit using cellulose as a reducing agent. Small, uniformly distributed crystals were obtained at 60°C, pH 8, for the reaction time of 1 h. The physical properties of the samples were analyzed using X-ray diffraction, field emission scanning electron microscope, and a vibrating-sample magnetometer. The Fe2O3 nanoparticles were spherical and uniformly distributed bounded with the fibrous cellulose, the particle size ranged from 28.21 to 35.91 nm. The cellulose-Fe2O3 nanocomposite exhibited a superparamagnetic behavior, while the Fe2O3 nanoparticle demonstrated a ferromagnetic effect. The nanocomposite showed high adsorption capacity after removing Cu(II) and Cd(II) ions from water. [ABSTRACT FROM AUTHOR]

Medical images are often adversely affected by a lack of clarity due to the limited representation of the color gamut. In this research, three types of medical images microscopic, magnetic resonance and x-ray images were enhanced by using a Fuzzy Logic by Stretch Membership Function (FLSMF). The Stretch Membership Function increased the dynamic range for the compounds red, green and blue in the medical images which have a few ranges. The FLSMF algorithm was compared with other methods by calculating the entropy value, wavelet quality evaluator and lightness order error. The analysis of the results showed that the proposed method succeeded in enhancing the contrast of the different types of medical images where it had high average values for the entropy (6.95) and wavelet quality evaluator (0.08), and a small average value for the lightness order error (60.77). [ABSTRACT FROM AUTHOR]