I identify the class of even-dimensional conformal field theories that is most similar to two-dimensional conformal field theory. In this class the formula, elaborated recently, for the irreversibility of the renormalization-group flow applies also to massive flows. This implies a prediction for the ratio between the coefficient of the Euler density in the trace anomaly (charge a) and the stres...

following recent works of several authors like huilgol, bhattacharya etd. and javadpour et al., this paper is to contribute further to the literature of axial flow in a rotational coaxial rheometer. we consider axial flow of herschel bulkley mode1 between two concentric cylinders with the inner one rotating, while the outer cylinder is held stationary. an attempt has been made to direct the ana...

A method to compute the aerodynamics of multi-element aerofoil, high-lift systems is outlined. The Reynolds-averaged Navier-Stokes equations are solved using an unstructured-grid approach, together with a finite-volume spatial discretisation and a dual-time implicit, time-marching solution procedure. Turbulence modelling is at the differential Reynolds stress level, in order to capture the anti...

Fluid shear stress (FSS) from blood flow acting on the endothelium critically regulates vascular morphogenesis, blood pressure, and atherosclerosis. FSS applied to endothelial cells (ECs) triggers signaling events including opening of ion channels, activation of signaling pathways, and changes in gene expression. Elucidating how ECs sense flow is important for understanding both normal vascular...

We extend the Barth, Cram, and Nelson (2001) model with disaggregated accruals by investigating whether cash flow components (core and non-core cash flows) improve cash flow predictability. BCN investigate the role of accrual components in predicting future cash flows while this study extends their study by investigating the role of cash flow components. We propose a cash flow prediction model ...

Real time traffic flow is often difficult to predict precisely because of the complexity, nonlinearity and uncertainty characteristics of the traffic flow data. Intelligent prediction methods such as artificial neural network (ANN), support vector machine (SVM), etc. have been proven effective to discover the nonlinear information hidden in the traffic flow data. Nevertheless, a single predicti...

the objective of this study was to develop a numerical model for the prediction of temperature distribution, effective plastic strain distribution, and especially material flow in friction stir welding of copper plates. the deform-3d software was used by incorporating a lagrangian incremental formulation. threedimensional results of the material flow pattern which were extracted using the point...

During its near-ground hovering phase a Short Take-Off and Vertical Landing (STOVL) aircraft creates a complex three-dimensional flow field between jet streams, the airframe surface and the ground. A proper understanding and numerical prediction of this flow is important in the design of such aircraft. In this paper an experimental facility, used to gather validation data suitable for testing C...

For more than 20 years it has been debated if yield stress fluids are solid below the yield stress or actually flow; whether true yield stress fluids exist or not. Advocates of the true yield stress picture have demonstrated that the effective viscosity increases very rapidly as the stress is decreased towards the yield stress. Opponents have shown that this viscosity increase levels off, and t...