Cash flows are often modeled using the random geometric growth model (geometric Brownian motion). One of the reasons for using this model is that it is simple to implement and it is a reasonable approximation to random growth cash flows such as stock prices. For this model the volatility of the cash flow grows multiplicatively over time. This multiplicative characteristic is shared by the usual...

The paper introduces an agent-based model for the simulation of crowds of pedestrians whose main innovative element is the representation and management of an important type of social interaction among the pedestrians: members of groups, in fact, carry out of a form of interaction (by means of verbal or non-verbal communication) that allows them to preserve the cohesion of the group even in par...

A remarkable phenomenon in turbulent flows is the spontaneous emergence of coherent large spatial scale zonal jets. Geophysical examples of this phenomenon include the Jovian banded winds and the Earth’s polar front jet. In this work a comprehensive theory for the interaction of jets with turbulence, Stochastic Structural Stability Theory, is applied to the problem of understanding the formatio...

In this article, a Ranque–Hilsch Vortex Tube has been optimized utilizing axial angles for nozzles. Effect of nozzles angles on the flow behavior has been investigated by computational fluid dynamics (CFD) techniques. A finite volume approach with the standard k–ε turbulence model has been used to carry out all the computations. The dimensions of studied vortex tubes are kept the same for all m...

in order to make the best utilization of a link in computer networks, active queue management (aqm) algorithms are generally used in a variety of methods. in this paper, a systematic control strategy based on self-scheduled h ∞, considering the dynamics of the window-based tcp flow, is proposed. then, the robustness of the designed controller to disturbance and parameter fluctuations of the pla...

In the present study, Computational Fluid Dynamics (CFD) techniques and Artificial Neural Networks (ANN) are used to predict the pressure drop value (Δp ) of Al2O3-water nanofluid in flat tubes. Δp  is predicted taking into account five input variables: tube flattening (H), inlet volumetric flow rate (Qi  ), wall heat flux (qnw  ), nanoparticle volume fraction (Φ) and nanoparticle diameter (dp ...

Endothelial cells play a central role in maintaining vascular integrity. Lesions in the endothelial layer may allow the invasion of leukocytes into the artery wall and promote inflammatory responses that could possibly lead to atherosclerosis. Over the past decade, a series of studies have demonstrated the presence of a delicate surface layer, named the glycocalyx, decorating the endothelial me...

,[11 ii~(lfi(lal Ii(ural nt’twork et[uip[)ed with a proper Ifar[iill: PLIICcali act iiS alI associative memory, patIcr]l cliissifitr ailcl feature extractor. Of course, the SLI(’(’<’SS of’ Sllcll ail a.igorithm crucially depends on [ IL(,cal)iil)ility of” learning the connection weights in 1he l~e[iral IIet\vork. Such learning rules are usually Illodell(d I)y no[lliuear dynamical systems, evolv...

The classical thermodynamic treatment of osmotic pressure is quite sufficient to describe equilibrium situations and compute most quantities of interest without reference to any molecular model (see, for example, Finkelstein, 1987). However, one's intuition is always aided by molecular models, and a microscopic picture can be quite useful when thinking about osmotic flow in unfamiliar situation...