Working memory capacity is one of the most important learner's characteristics that can be used as an input parameter for personalizing learning in order to improve the learning process. Therefore, knowing learner’s working memory capacity and personalizing the learning contents according to learner’s working memory capacity levels are important research issues. This paper proposes an approach ...

All the images are first preprocessed in three steps: I) noise reduction [1], II) intensity nonuniformity correction [2] and III) linear intensity normalization into range (0-100) using an intensity histogram matching technique. The T1w and FLAIR images are linearly co-registered using a 6 parameter rigid registration [3]. The T1w images are first linearly and then nonlinearly registered to an ...

We perform a selfconsistent relativistic RPA calculation for the isobaric analogue and Gamow-Teller resonances based on relativistic mean field theory results for the ground states of Ca, Zr and Pb. We use the parameter set NL1 for the σ, ω and ρ mesons, and experimental values for the pion and nucleon. An extra parameter, related to the intensity of the contact term in the pion-exchange intera...

This article is concerned with inference for a certain class of inhomogeneous Neyman-Scott point processes depending on spatial covariates. Regression parameter estimates obtained from a simple estimating function are shown to be asymptotically normal when the "mother" intensity for the Neyman-Scott process tends to infinity. Clustering parameter estimates are obtained using minimum contrast es...

This paper is concerned with parameter estimation for inhomogeneous spatial point processes with a regression model for the intensity function and tractable second order properties (K-function). Regression parameters are estimated using a Poisson likelihood score estimating function and in a second step minimum contrast estimation is applied for the residual clustering parameters. Asymptotic no...

A directional filter algorithm for intensity synthetic aperture radar (SAR) image based on nonsubsampled contourlet transform (NSCT) and immune clonal selection (ICS) is presented. The proposed filter mainly focuses on exploiting different features of edges and noises by NSCT. Furthermore, ICS strategy is introduced to optimize threshold parameter and amplify parameter adaptively. Numerical exp...

In this paper we study an attractor network with units that compete locally for activation and we prove that a reduced version of it has fixpoint dynamics. An analysis, complemented by simulation experiments, of the local characteristics of the network's attractors with respect to a parameter controlling the intensity of the local competition is performed. We find that the attractors are hierar...

Introduction: Mechanical index (MI) is used for quantifying acoustic cavitation and the relationship between acoustic pressure and the frequency. In this study, modeling of the MI was applied to provide treatment protocol and to understand the effective physical processes on reproducibility and gene expression of fibroblast cells. Skin damage can occur of burn, cuts, abrasions ...

The orthogonal method can be used to predict the optimum instrumental conditions and to guide the optimizing operations. This simplifies the ICP-MS optimization. In general, the final optimum parameter combination used in an analysis can be obtained after fine adjustments of the preferred parameters derived from the orthogonal experiment. This method can also be used to study the relationship b...