abstract background and aim: the intolerance of uncertainty model was initially developed as an explanation for worry within the context of generalized anxiety disorder. however, recent research has identified intolerance of uncertainty (iu) as a transdiagnostic maintaining factor across the anxiety disorders. the aim of the present study was to compare the intolerance of uncertainty in patient...

A comprehensive uncertainty analysis methodology has been established for the modeling of stationary neutron flux oscillations induced by fuel rods vibration in a zero-power reactor. The includes propagation and sensitivity analysis. target event is based on an actual experimental campaign at CROCUS reactor corresponds to simultaneous oscillation 18 metallic uranium periphery core. Both commonl...

Calculating the expected information gain in optimal Bayesian experimental design typically relies on nested Monte Carlo sampling. When model also contains nuisance parameters, which are parameters that contribute to overall uncertainty of system but no interest framework, this introduces a second inner loop. We propose and derive small-noise approximation for additional The computational cost ...

large urban areas are facing growing problems of noise pollutions. geospatial information systems (gis) can conveniently be adapted to gather, analyze and present noise information. gis can also be extended to answer to user specific problems through deterministic and statistics models. the objectives of this research were to measure urban traffic noise levels, analyze temporal and spatial dyna...

Efficient performance in visual detection tasks requires excluding signals from irrelevant spatial locations. Indeed, researchers have found that detection performance in many tasks involving multiple potential target locations can be explained by the uncertainty the added locations contribute to the task. A similar type of Location Uncertainty may arise within the visual system itself. Converg...

Neural signals are corrupted by noise and this places limits on information processing. We review the processes involved in goal-directed movements and how neural noise and uncertainty determine aspects of our behaviour. First, noise in sensory signals limits perception. We show that, when localizing our hand, the central nervous system (CNS) integrates visual and proprioceptive information, ea...

National Institute of Standards and Technology, Boulder. CO 80303-3328 Standard unrertaintjes are evaluated for the nuU-balarced, total-power, heicrodyned radiometer system with a switched input that was recently developed U NIST lo calibrate thermal noise sources. Eighi significant sources of uncertainty due tw sysletoatic effects arc iiicnlirtcd. two attributable to the two noise standards, a...

High-temperature and white-noise approximations are frequently invoked when deriving the quantum Brownian equation for an oscillator. Even if this white-noise approximation is avoided, it is shown that if the zero-point energies of the environment are neglected, as they often are, the resultant equation will violate not only the basic tenet of quantum mechanics that requires the density operato...

Neural noise introduces uncertainty about the signals encoded in neural spike trains. Because of the uncertainty neurons can reliably transmit a limited amount of information. This amount is difficult to quantify for neurons that combine signals and noise in a complex manner, as many trials would be needed to estimate the joint probability distribution of stimulus and neural response accurately...