Au nanoparticle-functionalized (TiO2)1−x(ZnO:MgO)x nanocomposite thin films (0≤x≤0.3) were effectively produced by chemical spray pyrolysis and annealed at 600 °C. The effects of ZnO incorporation and Au nanoparticle modification on the films' structural, optical, and antibacterial properties were studied using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), UV–Vis spectroscopy, and field-emission scanning electron microscopy (FESEM). XRD analysis confirms the formation of polycrystalline anatase TiO2 and shows a composition-dependent structural develop- ment with increasing ZnO concentration. The optical experiments revealed increased transmittance and a progressive wid- ening of the optical band gap f

In this study, thin flms containing titanium dioxide (TiO₂), iron (III) oxide (Fe2O3) and cerium oxide (CeO2), with varying Fe2O3:CeO2 concentrations ranging from 0 to 30 wt% and 10 wt% gold nanoparticles (AuNPs), were prepared on glass using chemical spray pyrolysis. The structural, morphological, and sensing properties of the prepared thin flms were examined. XRD analysis revealed that a phase transformation occurred based on the dopant concentration: flms with x = 0 or 0.1 formed a polycrystalline anatase structure, whereas those with intermediate concentrations (x = 0.15 or 0.20) were amorphous. At higher doping concentrations (x = 0.25, 0.30), the structure developed a hematite Fe2O3, CeO2 and Au phase. Morphologicall

Two field experimسents were conducted in one of the fields of the Agriculture Division of Ain Al-Tamr /Holy Karbala Governorate at two sites of different textures during the agricultural season 2020/2021. The first site has sandy loam texture (gypsum soils). The second site has loamy sand texture (calcareous soils). The factors of the study included: The first factor included two types of soil, gypsum and calcareous soil. The second factor is the tillage systems (no-tillage, spring spike harrows, disc harrows, and mold board plow). The experiment was designed in the two study sites according to the RCBD with three replications. The Valley type center pivot irrigation system was evaluated before planting, three speeds, 30, 50 and 100% of th

The research is conducted on target of investigating the role of growth strategy via diversification in value maximization of a firm in terms of controversies literatures had witnessed. Using a descriptive approach for analyzing and verifying the harmony of variables of research and their conceptualized logic , it could be reached to many conclusions agreed in their essence upon that the related diversification has the major role in value maximization of a firm and the wealth of its owners .                       

Encasing glass fiber reinforced polymer (GFRP) beam with reinforced concrete (RC) improves stability, prevents buckling of the web, and enhances the fire resistance efficiency. This paper provides experimental and numerical investigations on the flexural performance of RC specimens composite with encased pultruded GFRP I-sections. The effect of using shear studs to improve the composite interaction between the GFRP beam and concrete was explored. Three specimens were tested under three-point loading. The deformations, strains in the GFRP beams, and slippages between the GFRP beams and concrete were recorded. The embedded GFRP beam enhanced the peak loads by 65% and 51% for the composite specimens with and without shear connectors,

The effective insulation design of the stress grading (SG) system in form-wound stator coils is essential for preventing partial discharges and excessive heat generation under pulse-width modulation excitation. This paper proposes a method to find the optimal insulation design of the SG system aimed at reducing the dielectric and thermal stresses in the machine coil. The non-uniform transmission line model is used to predict the voltage propagation along the overhang, SG, and slot regions considering the variation in the physical properties of the insulation layers. The machine coil parameters for different insulation materials are calculated by using the finite element method. Two optimization algorithms, fmincon and particle swarm optimiz