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This study presents a comprehensive look into the potential therapeutic, antibacterial, and anticancer properties of a nanocomposite (NC) of gold (Au) and zinc oxide (ZnO). In this study, we analyzed the adherence between Au nanoparticles (NPs) and ZnO NPs. X-ray diffraction analysis showed high crystallinity and small crystallite sizes of Au NPs and ZnO NPs, while transmission electron microscopy showed spherical NPs. Furthermore, histogram analysis showed that the average particle size of Au NPs is 27 nm, while that of ZnO NPs is 35 nm. The adherence of ZnO NPs on the surface of Au NPs increased their combined particle size to 51 nm and revealed a high-population core-shell structure. The activity of Au/ZnO NCs against Escherichia coli was more potent when compared to that of elemental Au and ZnO NPs alone. The cytotoxic effects of Au NPs, ZnO NPs, and Au/ZnO NCs against human breast cancer cells (AMG13) and human esophageal adenocarcinoma cancer cells (SK-GT4) were investigated in this study. We found that AMG13 is more sensitive than SK-GT4 to the activity of Au/ZnO NCs. The cytotoxicity of Au/ZnO NCs against AMG13 was 89%, while that against SK-GT4 was 85%. Less cytotoxic effects were recorded against normal cells (MCF7) when compared with those of cancer cells. Based on these findings, the synthesized Au/ZnO NCs could be used as a promising strategy for biomedical applications.

In the present work, improvement of Newton’s method with high order convergence has been suggested. This improvement is based on Two-Point Bracketing method. The proposed method Inverse Quadratic Interpolation method requires two steps per iteration. By means of the numerical equation of the one diode model of PV equivalent circuit, included five values of R from 1 to 5 ohms (load resistance of the circuit). The results obtained explain that the new suggested technique is easy to use, more accurate and efficient than other numerical methods are presented here.

Nanoparticles of gold with zinc oxide (Au@ZnO NPs) were prepared by laser ablation and then capped with curcumin nanoparticles (Cur-Au@ZnO NPs). The synthesized NPs were characterized using different techniques, including transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FTIR), UV-visible spectroscopy, and X-ray diffraction. In addition, the ability of NPs as a promising antibacterial agent was tested against Staphylococcus aureus through the agar well diffusion method and AO/EtBr staining assay. The results showed that the prepared nanoparticles (Cur-Au@ZnO) served as an antibacterial agent and can destroy the bacterial cells by losing the cell wall integrity and penetrating the cytoplasmic membrane. Moreover, the findings confirmed the role of the formed NPs in attenuation of the adherence and invasion of S. aureus to rat embryonic fibroblast (REF) cells. Furthermore, the activity of Cur-Au@ZnO NPs against the S. aureus α-hemolysin toxin was evaluated using the western blot technique, using human alveolar epithelial cells (A549), and through histopathology examination in a mouse model. In conclusion, the built Cur-Au@ZnO NPs can be used as a potential antibacterial agent and an inhibitor of α-hemolysin toxin secreted by S. aureus. These NPs may offer a new strategy in combating pathogen infections and in the future for biomedical and pharmaceutical applications.

Root finding is a basic example that still remnant an interest to several researchers. Several hybrid experiments are developed to obtain approximate solutions for nonlinear equations. Thus, this paper presents an analysis on numerical comparison between common method and the other methods. An evaluation iterative method MATLAB is utilized for this paper. Numerical and interpretative results prove that Dekker’s Formula is acceptably efficient, accurate, and easy to use compared with other iterative methods.

New three iterative methods in order to solve non-linear problems for PV cell equations with various data of R (load resistance) have been investigated. A series of hybrid algorithms Newton’s, Predictor-Corrector Type (A1), Predictor-Corrector Type (A2) and Dekker’s are implemented to obtain approximate solutions for non-linear functions. The purpose of the present paper is to analysis on numerical comparison between the standard Newton’s algorithm with A1, A2 and DM algorithms. It is evidenced that these methods have nearly eight computations while; the proposed method has six computations per iteration. The Numerical and illustrative results reveal that the new suggested technique (DM) is more accurate, least iterations for convergence than other numerical methods and a computational Matlab 18a is used for this paper.

The preparation of Au-ZnO nanocomposite involves the synthesis of Au and ZnO colloidal solutions by Nd:YAG laser (1064nm) ablation of metal targets in deionized water followed by laser irradiation of the mixed colloidal solution by a second harmonic Nd:YAG laser (532nm). The UV-visible show the gold nanoparticle (NPs) peak at 525nm while the peak of the ZnO nanoparticle (NPs) at 375nm. The Au-ZnO nanocomposite showed a blue shift in the absorption of the ZnO excited, while due to the plasomon resonance and interfacial charge transfer of Au NPs lead to redshift in the absorption, also show the intensity absorpation increases with the concentration of the metal nanoparticles. The morphological properties of nanoparticles have been characterized by Transmission Electron Microscopy (TEM).

In this paper, we study the influence of applying the well-known finite differences method on medical and physical images. These images will be used as coefficients in the steps of the solution after the images being imported and converted to arrays. The aim of the study is to show and analyze the changes that could happen to images for the sake of an enhancement. Experiments of one dimension and two dimensions will be illustrated by applying the explicit and the implicit methods using MATLAB to explain the way of how these methods affect images. Furthermore, we will study and measure the quality of the proposed images in each phase of the experiments using statistical metrics such as PSNR (Peak Signal to Noise Ratio), MSE (Mean Squared Error), MD (Maximum Difference) and some other statistical metrics.

In this paper, we suggest and analyze two algorithms; a new Inverse Quadratic Interpolation and Illinois for solving nonlinear equation of a solar cell single diode type with initial value x 0 and load resistance R varies from 1 to 5 Ω is implemented in MATLAB program. Using five numerical testes examples, the results secured reveal that the suggested algorithm has lesser iterations than the other method (Illinois method), so the accuracy and efficiency of the proposed method is the best.

A synthesis is carried out with Au-ZnO nanoparticles (NPs), using fundamental laser Nd:YAG (1064 nm) of Au and ZnO colloidal solution, with the metal objectives in deionized water being extracted, accompanied by laser radiation a second harmonic Laser 532nm with the mixed colloidal solution, The UV-visible display the Au nanoparticle peak at 525nm, and the ZnO peak at 415nm. The Au-ZnO NPs show a shift of the ZnO absorption at 390nm, which is excited, and a change in the Au absorption at 530nm, as the Au NPs plasmon resonance is transmitted through an interface charge. The optical band gaps of the ZnO, Au and Au-ZnO NPs are increased with laser fluence up to 13.8 J/cm 2 . The antioxidant activities of prepared nanoparticles were measured using DPPH assay. The results showed the ability to scavenging of free radicals. Taken together, the results of this study demonstrated that the Au-ZnO nanocomposite could be used in future for therapeutic purposes.

Ankylosing spondylitis (AS) is a chronic inflammatory spinal and large-joint arthritic and potentially disabling condition, mainly affecting males of young age groups. Extensive literature based on the results of various genetic, microbiological, molecular and immunological studies carried out by independent research groups suggests that Klebsiella pneumoniae is the main microbial agent being implicated as a triggering and/or perpetuating factor in the etiopathogenesis of AS. Novel diagnostic markers and criteria based on the association with high anti-Klebsiella antibodies could be used in the detection of AS patients during early stages of the disease, and together with the current treatments might help in implementing the use of new therapeutic anti-microbial measures in the management of AS. Prospective longitudinal studies with the use of anti-microbial measures in patients with AS are required to establish the therapeutic benefit of this microbe-disease association.