Background Early prediction of adverse neonatal outcome would be possible by Doppler impedance indices of middle cerebral artery (MCA), umbilical artery (UmA), and descending aortal artery (AO) that result in decrease neonatal morbidity and mortality rate. The aim of the present study was a determination of optimal value for the ratio of MCA to descending aorta blood flow (MCA/AO) impedance ind...

The phase diagram of hydrogen is one of the most important challenges in high-pressure physics and astrophysics. Especially, the melting of dense hydrogen is complicated by dimer dissociation, metallization and nuclear quantum effect of protons, which together lead to a cold melting of dense hydrogen when above 500 GPa. Nonetheless, the variation of the melting curve at higher pressures is virt...

We report ab initio calculations of the melting curve and Hugoniot of molybdenum for the pressure range 0 − 400 GPa, using density functional theory (DFT) in the projector augmented wave (PAW) implementation. We use the “reference coexistence” technique to overcome uncertainties inherent in earlier DFT calculations of the melting curve of Mo. Our calculated melting curve agrees well with experi...

In vivo studies on association between wall shear stress (WSS) and intracranial plaque are deficient. Based the three-dimensional T1-weighted high-resolution magnetic resonance imaging (3DT1 HR-MRI) data of patients with low-grade stenotic (<50%) atherosclerotic middle cerebral artery (MCA) subjects normal MCA, we built a reconstructed WSS model by computational fluid dynamics (CFD) technique. ...

The melting curve for MgO was obtained using molecular dynamics and a non-empirical, many-body potential. We also studied premelting effects by computing the dynamical structure factor in the crystal on approach to melting. The melting curve simulations were performed with periodic boundary conditions with cells up to 512 atoms using the ab-initio Variational Induced Breathing (VIB) model. The ...

Since the pioneering work of Amari and Oja, principal component neural networks and their extensions have become an active adaptive signal processing research eld. One of such extensions is minor component analysis (MCA), that proves to be e ective in problems such as robust curve/surface tting and noise reduction. The aims of this paper are to give a detailed and homogeneous review of one-unit...