We investigate behavior of the continuous stochastic signals above some threshold, bursts, when the exponent of multiplicativity is higher than one. Earlier we have proposed a general nonlinear stochastic model applicable for the modeling of absolute return and trading activity in financial...

The paradigm of cloud computing has started a new era of service computing. While there are many research efforts on developing enabling technologies for cloud computing, few focuses on how to strategically set price and capacity and what key components are leading to success in this emerging...

We suggest that the cytoskeleton in contact with the inner surface of biological membranes in cells exhibiting tensegrity, may be considered as a system near critical conditions. This feature will influence the dynamical processes, such as diffusion, associated with the membrane’s fluctuations...

In this work, we propose a single period stochastic inventory decision-making model that captures the trade-off between inventory policies and disruption risks for unreliable (both uncapacitated and capacitated) dual-sourcing reverse supply chain networks. Risk-management has emerged high at the...

In recent business environments, collaborations among organisations raise an increased demand for swift establishment. Such collaborations are increasingly formed without prior experience of the other partner's previous performance. The STochastic REputation system (STORE) is designed to provide...

This paper aims at the stochastic characterization of droughts applying Markov chains modeling to drought class transitions derived from SPI time series. Several sites in Southern Portugal having updated data on precipitation available were considered. The drought class probabilities, the...

The binding neuron model [A.K. Vidybida,BioSystems <Emphasis Type="Bold">48, 263 (1998)] is inspired by numerical simulation of Hodgkin-Huxley-type point neuron [A.K. Vidybida,Biol. Cybern. <Emphasis Type="Bold">74, 539 (1996)], as well as by the leaky integrate-and-fire (LIF) model [J.P. Segundo, D. Perkel, H. Wyman, H. Hegstad, G.P....</emphasis></emphasis>