We present a simple stochastic algorithm for generating multiplicative processes with multiscaling both in space and in time. With this algorithm we are able to reproduce a synthetic signal with the same space and time correlation as the one coming from shell models for turbulence and the one coming from a turbulent velocity field in a quasi-Lagrangian reference frame. Corresponding author: Dr....

1 Istituto per le Applicazioni del Calcolo “M. Picone”, sede di Bari, Consiglio Nazionale delle Ricerche Via G. Amendola 122/D, I-70126 Bari, Italy 2Department of Computer Science, Stanford University, Gates Building 2B, Room 280, Stanford, CA 94305-9025, USA 3Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA 4Department of Electrical Engi...

Daniel B. Work1, Sébastien Blandin1, Olli-Pekka Tossavainen1, Benedetto Piccoli2,3, and Alexandre M. Bayen4 1Systems Engineering, Department of Civil and Environmental Engineering, University of California, Berkeley, 621 Sutardja Dai Hall #1758, Berkeley, CA, USA, 2Istituto per le Applicazioni del Calcolo ‘M. Picone.’ Via dei Taurini 19, Rome, Italy, 3Department of Mathematical Sciences and CCI...

Exploring the psychological foundations of management in family firms is necessary to understand why they formulate and implement strategies differently from nonfamily firms, how firm behavior varies across different firms. Picone et al. (2021. The firms: Values, biases, heuristics. Family Business Review, 34(1), 12-32) have proposed a conceptual framework for business, examining values, heuris...

We consider two models which were both designed to describe the movement of eukaryotic cells responding to chemical signals. Besides a common standard parabolic equation for the diffusion of a chemoattractant, like chemokines or growth factors, the two models differ for the equations describing the movement of cells. The first model is based on a quasilinear hyperbolic system with damping, the ...