Publications by authors named "Y Ghayeb"

It is of great significance to develop green fuels in order to prevent the accumulation of carbon dioxide generated by the combustion of conventional fossil fuels. A potential, clean, renewable alternative fuel, which may be produced from solar energy, stored and safely transported, is hydrogen. In this work, bare CrTiO2 NTs were fabricated using an in situ anodizing process.

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Iron-doped TiO nanotubes (Fe-TNTs) were prepared by a one step anodization method. Nickel-platinum was then deposited on the surface of these Fe-TNTs samples by an electroless process during different time periods. SEM, XRD and UV-vis absorption spectroscopy was used to study the surface morphologies, composition and optical properties of the synthetic samples.

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Tungsten-copper co-sensitized TiO nanotube films on titanium substrate, used as photoanodes in photoelectrochemical (PEC) water splitting to produce hydrogen, have been synthesized via anodization and chemical bath deposition (CBD) methods. Field emission scanning electron microscopy (FE-SEM), energy dispersive X-ray spectroscopy (EDX) and X-ray diffraction (XRD) were used to study the morphology and elemental composition of the synthetic samples. UV-Vis diffuse reflection spectroscopy (UV-Vis DRS) was sued to investigate the optical features of the samples.

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The chemical bath deposition (CBD) method was successfully applied to prepare WTiO nanotube arrays co-deposited with chromium, iron and chromium-iron nanoparticles. Various methods have been used in the characterization of synthetic co-deposited nanostructures. WTiO nanotubes can keep the nanotubular structures at low iron concentration in the CBD solution, as indicated by our FESEM results.

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Peroxisome proliferator-activated receptors (PPARs) compose a family of nuclear receptors, PPARα, PPARβ, and PPARγ, which mediate the effects of lipidic ligands at the transcriptional level. Among these, the PPARγ has been known to regulate adipocyte differentiation, fatty acid storage and glucose metabolism, and is a target of antidiabetic drugs. In this work, the interactions between PPARγ and its six known antagonists were investigated using computational methods such as molecular docking, molecular dynamics (MD) simulations, and the hybrid quantum mechanics/molecular mechanics (QM/MM).

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