objective: the present study aimed at examining the effect of multidimensional motivation interventions based on martin's model on cognitive and behavioral components of motivation. methods: the research design was prospective with pretest, posttest, and follow-up, and 2 experimental groups. in this study, 90 students (45 participants in the experimental group and 45 in the control group) const...

User-generated social health data can provide valuable insights into the health care behavior and practices of patients for clinicians, policy makers and other patients. Social InfoButtons is a tool for integrating and analyzing social health data, using a semantic data integration framework that is flexible and extensible with respect to a variety of health data sources. The integration overla...

In this paper, we present a comparative overview of 9 studies on perceptual quality dimensions of synthetic speech. Different subjective assessment techniques have been used to evaluate the text-to-speech (TTS) stimuli in each of these tests: in a semantic differential, the test participants rate every stimulus on a given set of rating scales, while in a paired comparison test, the subjects rat...

We investigate the coupled axial–torsional vibration of pretwisted beams. The equations of motion governing the extension, torsion, and cross-sectional warping of pretwisted beams are derived from Hamiltons principle, and the common assumptions used to simplify the equations are carefully examined through scaling analysis. Inconsistencies in previous works—such as the neglect of spatial and tim...

In this paper, we propose a new technique for multidimensional query processing which can be widely applied in database systems. Our new technique, called tree striping, generalizes the well-known inverted lists and multidimensional indexing approaches. A theoretical analysis of our generalized technique shows that both, inverted lists and multidimensional indexing approaches, are far from bein...

The paper proposes a computationally feasible method for measuring contextsensitive semantic distance between words. The distance is computed by adaptive scaling of a semantic space. In the semantic space, each word in the vocabulary V is represented by a multidimensional vector which is obtained from an English dictionary through a principal component analysis. Given a word set C which specifi...

We describe a new approach to data modeling, called the concept-oriented model (COM), and a novel concept-oriented query language (COQL). The model is based on three principles: duality principle postulates that any element is a couple consisting of one identity and one entity, inclusion principle postulates that any element has a super-element, and order principle assumes that any element has ...

The main goals of the project are the formalization and the development of a novel approach to the analysis, comparison and classification of multidimensional data, i.e. information characterized by features embedded in some multidimensional topological space. Our proposed project will be based on a topological exploration and understanding of data, finding its roots in the so-called (multidime...