regarding the decentralization of credits management, this study examined the effect of fiscal policies on gross domestic product of the iranian provinces over the period 2001-2009. therefore, we used dynamic panel data and employed gmm-sys method to examine the model. the results show that the government expenditure and tax multiplier coefficients are less than one in short - run but greater t...

3.1 Kinetic models and their dynamic behaviour in a nutshell Examples: Metabolic network; transport reactions; signaling system; gene expression Stoichiometric coefficients nir Stoichiometric coefficients denote the proportions, with which the molecules of substrates and products enter the biochemical reactions. One can summarise the stoichiometric coefficients in a matrix N. The rows refer to ...

in this paper the effects of non-linearity of suspension on dynamic behavior of a railway wheelset has been studied. this wheelset has four degrees of freedom that with two constraints it has reduced to two degrees of freedom. vermeulen-johnson theory has been used to calculate contact forces between wheel and rail. in this study the creep coefficients have considered constant. any linearizatio...

dynamic frothability index (dfi) is a characteristic of any frother which presents useful information about frothing properties. the objective of this study is to introduce a prediction model for estimation of dfi value of dual-frother blends. model uses the dfis of frothers and mole ratio of weaker frother to calculate the blend’s dfi. the model reliability was confirmed by comparing the exper...

................................................................................................3.2 3.1 DYNAMIC MODELLING........................................................................3.3 3.1.1 Radical Balances in the Aqueous Phase ...................................................... 3.5 3.1.2 Particle Population Balance ..................................................................

This paper proposes a new motion estimation framework based on localized linear transforms, multiresolutional probability models and dynamic programming. We incorporate localized linear transforms (specifically wavelets) into motion estimation by parameterizing the motion fields to be estimated in terms of their localized linear transform coefficients. In terms of these coefficients, we propose...