Objective: The present study was conducted to examine the effectiveness of ‘Acceptance and Commitment Therapy’ (ACT) on reducing social anxiety in students with learning disability. Methods: In this experimental research, pretest-posttest and control group were utilized. Population of this study included all the middle-school male students with learning disability in Koohdasht City (2013-201...

an important concern in rock mechanics is non-homogeneity as joints or fault. this noticeable feature of failures in rock is appearance of slip surfaces or shear bands, the characteristics of that are associated with deformation being concentrated in a narrow zones and the surrounding material remaining intact. adopting the joints as fractures, fractures are well known for their effects on the ...

We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density estimation. The model is based on a construction of treestructured copulas – multivariate distributions with uniform on [0, 1] marginals. By averaging over all possible tree structures, the new model can approximate di...

This paper presents a novel integrated 3D face verification system. The system comprises of a Structured Light Scanner acquisition stage, with 3D surface fitting and filtering. A-priori information of the human face is utilised to select and extract a region of interest from the face surface, whilst the Iterative Closest Point (ICP) algorithm is employed to establish correspondence between test...

This article proposes an age-structured compartment model for irreversible diseases with a pre-clinical state of undiagnosed cases that precedes the diagnosis. The model is able to cope with mortality rates differing between the pre-clinical and the clinical state (differential mortality). Applicability is tested in a hypothetical disease with realistic incidence and mortality rates.

Real-world applications often involve irregular time series, for which the intervals between successive observations are non-uniform. Irregularity across multiple features in a multi-variate series further results different subset of at any given (i.e., asynchronicity). Existing pre-training schemes time-series, however, assume regularity and make no special treatment irregularity. We argue tha...

Multivariate regression with p responses as opposed to p multiple regressions is getting increasingly more attention, especially in the context of prediction. Multivariate flattening methods are investigated as a way to obtain improved predictions over ordinary least-squares. With respect to sum of squares of prediction error, or SPE risk, an unbiased estimate of the risk is derived for two rec...

A new approach for the construction of wavelets and prewavelets on R d from multiresolution is presented. The method uses only properties of shiftinvariant spaces and orthogonal projectors from L2(R d) onto these spaces, and requires neither decay nor stability of the scaling function. Furthermore, this approach allows a simple derivation of previous, as well as new, constructions of wavelets, ...