Background: Suppression of the body's immune system can cause high blood pressure. Also, many people with COVID-19 have underlying diseases, including high blood pressure.
Aim: This study was conducted to investigate the effect of COVID-19 infection on blood pressure caused by pregnancy in women referred to Kashani Hospital in Jiroft City.
Introduction: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption.
Methods: A 7-layer neural network called DCE-Qnet was trained on simulated DCE-MRI signals derived from the Extended Tofts model with the Parker arterial input function. Network training incorporated B inhomogeneities to estimate perfusion (K, v, v), tissue T relaxation, proton density and bolus arrival time (BAT).
A novel palladium-loaded yolk-shell structured nanomaterial with magnetite core and phenylene-based periodic mesoporous organosilica (PMO) shell (FeO@YS-Ph-PMO/Pd) nanocatalyst was synthesized for the reduction of nitrobenzenes. The FeO@YS-Ph-PMO/Pd was prepared through cetyltrimethylammonium bromide (CTAB) directed condensation of 1,4-bis(triethoxysilyl)benzene (BTEB) around FeO@silica nanoparticles followed by treatment with palladium acetate. This nanocatalyst was characterized by using Fourier transform infrared (FT-IR) spectroscopy, thermal gravimetric analysis (TGA), low-angle and wide-angle powder X-ray diffraction (PXRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and vibrating sample magnetometer (VSM) analyses.
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