abstract background and aim: the purpose of the present research was to validating the revised dyadic adjustment scales for marital quality in men and women referred in sanandaj counseling centered. methods: disgn is a study of correlation sort (factor analysis of tendentious oblimin rotation sort). in this research 384 subjects(women and men) were selected from clients in sanandaj counseling c...

Diffusion tensor imaging (DTI) provides information about the microstructure in the brain and spinal cord. While new neuroimaging techniques have significantly advanced the accuracy and sensitivity of DTI of the brain, the quality of spinal cord DTI data has improved less. This is in part due to the small size of the spinal cord (ca. 1cm diameter) and more severe instrumental (e.g. eddy current...

It is important work to exactly know what is major quality and their sub-criterion on QoS model. Furthermore, when the system developer or designer construct or make system software, they need to get an accurate guide line of the quality. However, the quality research of system software area lacked. This research aims to identify the criteria and to make quality model for system software. For t...

PURPOSE Amputations and fitting surgery have a long history in children with limb deficiencies. With the current developments in limb reconstruction and new techniques in prosthetics, the indications for amputation and fitting surgery might have shifted, but still have a very important role in creating high functional performance, optimal participation and quality of life. The purpose of this c...

This study integrates, refines, and updates previous findings pertaining to positive ecologic (population-level) associations between intelligence and suicide prevalence across nations by using corrected and revised national IQ estimates and, further, a quality-of-human-conditions index, both recently published by Lynn and Vanhanen. Across a global 85-nation sample of sex-specific total suicide...

This paper presents a new feature selection method for learning based single image super-resolution (SR). The performance of learning based SR strongly depends on the quality of the feature. Better features produce better co-occurrence relationship between low-resolution (LR) and high-resolution (HR) patches, which share the same local geometry in the manifold. In this paper, Zernike moment is ...

We present a framework for the analysis of cardiac MRI using Statistical Models of Appearance. This thesis makes three major contributions. The first contribution involves the introduction of a new algorithm for fitting 3-D Active Appearance Models on cardiac MRI, using the inverse compositional image alignment algorithm. We observe a 60-fold increase in fitting speed and an accuracy that is on...