The Security of Formation and Use of Means of the Deposit Guarantee Fund

The article is aimed at improving the theoretical and methodical approaches to the formation and use of DGF resources in the context of compliance with financial security. On the basis of the analysis and evaluation of the existing tendencies of development of the system of deposit guarantee in Ukraine, the basic principles and problematic aspects of its functioning are allocated. The features of formation of financial resources of DGF are disclosed, estimation of the level of their sufficiency for covering of existing needs of investors of insolvent banks is substantiated. The directions of use of means of the Deposit Guarantee Fund are analyzed, the main problematic aspects in its activity are allocated. Prospect for further research in this direction is development of conceptual approaches to the reform of the system of guarantee of individuals’ deposits in Ukraine according to the European approaches and recommendations of the International System of Insurance of Deposits

Probabilistic model checking of complex biological pathways

Probabilistic model checking is a formal verification technique that has been successfully applied to the analysis of systems from a broad range of domains, including security and communication protocols, distributed algorithms and power management. In this paper we illustrate its applicability to a complex biological system: the FGF (Fibroblast Growth Factor) signalling pathway. We give a detailed description of how this case study can be modelled in the probabilistic model checker PRISM, discussing some of the issues that arise in doing so, and show how we can thus examine a rich selection of quantitative properties of this model. We present experimental results for the case study under several different scenarios and provide a detailed analysis, illustrating how this approach can be used to yield a better understanding of the dynamics of the pathway

Simulation and Verification for Computational Modelling of Signalling Pathways

Modelling of the dynamics of biochemical reaction networks typically proceeds by solving ordinary differential equations or stochastic simulation via the Gillespie algorithm. More recently, computational methods such as process algebra techniques have been successfully applied to the analysis of signalling pathways. One advantage of these is that they enable automatic verification of the models, via model checking, against qualitative and quantitative temporal logic specifications, for example, "what is the probability that the protein eventually degrades?". Such verification is exhaustive, that is, the analysis is carried out over all paths, producing exact quantitative measures. In this paper, we give an overview of the simulation, verification and differential equation approaches to modelling biochemical reaction networks. We discuss the advantages and disadvantages of the respective methods, using as an illustration a fragment of the FGF signalling pathway. © 2006 IEEE