Traditional and modern vocabulary instruction techniques have been introduced in the past few decades to improve the learners’ performance in reading comprehension. Semantic mapping, which entails drawing learners’ attention to the interrelationships among lexical items through graphic organizers, is claimed to enhance vocabulary learning significantly. However, whether this technique suits all...

We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between an action and its reaction by observing time sequences. We apply this method to analyze human interaction and to subsequently synthesize human behaviour. Using a time series of perceptual measurements, a system automa...

One of the more important results of the upwelling of research on bereavement in recent decades has been the development of criteria for complicated grief, a disorder whose coherence, correlates and consequences have been subjected to increasing scrutiny. In this article I argue that clinical, conceptual, and evidence-based considerations converge to support the further refinement of such crite...

background: learning disability is one of the most noticed subjects for behavioral specialists. most of the learning difficulties are caused by senso-motor development and neurological organization. the main purpose of the present research is to examine the role of delayed perceptual-motor development and brain damage in origination of expressive writing disorder (ewd).   methods: the studied s...

perceptual-motor skills play a vital role in many tasks of daily life and sports skills. the measurement of coincidence anticipation timing ability is a method to evaluate perceptual and perceptual-motor skills. thus, the main aim of the present study was to investigate the role of different organism, task and environment constraints in coincidence anticipation timing accuracy. for this purpose...

A color palette is one of the simplest and most intuitive descriptors that can be extracted from images or videos. This paper proposes a method to assess similarity between palettes by sorting colors. While previous measures compare only colors without considering overall combination, we sort minimize geometric distance align them share common tendency. We propose dynamic closest warping (DCCW)...

Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets. The ambiguity and vagueness of the words and different perceptions of a word are not considered in these methods. For this reason, the decision making methods that consider the perceptions of decision ma...

This thesis describes a system for extracting three-dimensional models from two-dimensional images over the restricted domain of frontal images of human faces. A three-dimensional face model template is fit to a three-dimensional digitizations of a set of training subjects. The standard-form models allow different subjects to be treated in a uniform manner. The particular template model chosen ...

Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...

The sensory nervous system serves as the window for human beings to perceive outside world by converting external stimuli into distinctive spiking trains. neurons in this can process multimodal signals with extremely low power consumption. Therefore, new-concept devices inspired neuron are promising candidates address energy issues nowadays’ robotics, prosthetics and even computing systems. Rec...