Article history: Received 30 June 2009 Received in revised form 18 September 2009 Accepted 28 September 2009 Available online 30 September 2009 Variance based methods have assessed themselves as versatile and effective among the various available techniques for sensitivity analysis of model output. Practitioners can in principle describe the sensitivity pattern of a model Y = f (X1, X2, . . . ,...

The sensitivity analysis of atomic force microscope (AFM) based manipulation of gold spherical nanoparticles in air medium has been carried out in previous research works. In the AFM-based manipulations conducted in various biological liquid mediums, the new environmental parameters associated with these biological fluids also affect the dynamics of the manipulation process. Therefore in this r...

AIMS To investigate the relationship between adiposity and plasma free fatty acid levels and the influence of total plasma free fatty acid level on insulin sensitivity and β-cell function. METHODS An insulin sensitivity index, acute insulin response to glucose and a disposition index, derived from i.v. glucose tolerance minimal model analysis and total fasting plasma free fatty acid levels we...

The dynamics of learning to identify the target interval among similar ones was investigated in two groups of subjects (5 persons in each) with different strength of nervous processes according to J. Strelau's questionnaire. It was proved that in the group of strong subjects a higher level of identification efficiency estimated accorded to the sensitivity index (d') correlates positively with p...

In this article, we address the issue of conducting a sensitivity analysis of complex models with both static and dynamic uncertain inputs. While several approaches have been proposed to compute the sensitivity indices of the static inputs (i.e. parameters), the ones of the dynamic inputs (i.e. stochastic fields) have been rarely addressed. For this purpose, we first treat each dynamic as a Gau...

†Instituto de Geociências, Universidade Federal do Pará, Belém, 66075-110, Brazil, [email protected] ‡ Unidade de Negócio de Exploração e Produção da Bahia, Petróleo Brasileiro S.A., Salvador, 41856-900, Brazil, fabrício. gonç[email protected] ‡ Campus Universitário de Marabá, Universidade Federal do Pará, Marabá, 68503-080, Brazil, [email protected] ‡ Centro de Pesquisa da Petrobras, Petróleo Bras...

Research has begun to demonstrate that contamination fears are comprised of both fear and disgust, but whether these emotions interact and how they may interact within the domain of contamination fears has not been researched. The present study investigated whether the fear of aversive sensations (i.e., anxiety sensitivity) interacts with the propensity to respond with disgust (i.e., disgust se...

Sensitivity analysis aims at exploring which of a number of variables have an impact on a certain response. Not only are the individual variables of interest but also whether they interact or not. By analogy with the total sensitivity index, used to detect the most influential variables, a screening of interactions can be done efficiently with the so-called total interaction index (TII), define...

Received: 12 December 2007 Revised: 11 March 2008 Accepted: 16 March 2008 Abstract Scatterplots and parallel coordinate plots (PCPs) can both be used to assess correlation visually. In this paper, we compare these two visualization methods in a controlled user experiment. More specifically, 25 participants were asked to report observed correlation as a function of the sample correlation under v...

Exposure to the spatiotemporal statistics of the world is thought to have a profound effect on shaping the response properties of the visual cortex and our visual experience. Here we ask whether subjects’ discrimination performance on a set of parameterized shapes changes as a function of the distribution with which the shapes appear in an unsupervised paradigm. During training, subjects perfor...