recently, researches on motor learning have illustrated that learning with effortless process supports learning under psychological stress. also, contextual interference and practice specificity theories are among those theories which investigate desired practice conditions. the current study aimed at identifying cognitive effort and effortless process based on contextual interference and pract...

In this paper we present a novel framework for better modeling uncertainty in complex systems and demonstrate the approach applied to regulated river systems. In this framework, only the stream inflows are assumed to be purely stochastic. Other uncertain quantities are correlated to the uncertainty of the stream inflows using the dynamics of the river as the physical description of the system. ...

A standard reference in uncertainty modeling is the "Guide to the Expression of Uncertainty in Measurement (GUM)". GUM groups the occurring uncertain quantities into "Type A" and "Type B". Uncertainties of "Type A" are determined with the classical statistical methods, while "Type B" is subject to other uncertainties which are obtained by experience and knowledge about an instrument or a measur...

Doubly stochastic Bayesian hierarchical models are introduced to account for uncertainty and spatial variation in the underlying intensity measure for point process models. Inhomogeneous gamma process random fields and, more generally, Markov random fields with infinitely divisible distributions are used to construct positively autocorrelated intensity measures for spatial Poisson point process...