The breadth and depth of ESL learners’ vocabulary knowledge and their comprehensive linguistic competence are not well studied in current literatures on vocabulary studies. This paper explores the creditability of depth and breadth of ESL learners’ vocabulary knowledge as an indicator of their overall linguistic competence and the correlation between depth and breadth of ESL learners’ vocabular...

Recent research in marketing has established that market knowledge breadth and depth are important drivers of firms' performance. However, few studies have investigated the antecedents of these important dimensions of market knowledge as well as the moderators of their effects on performance. Drawing on theories of organizational learning and search, the authors argue that different types of ma...

Introduction: Raising the knowledge of skeletal and soft tissue changes with aging has been highly essential due to an increasing demand for aesthetic facial surgery following aging. The aim of this study is to evaluate the three dimensional computed tomographic images and process of changes in mandible with aging. Materials and Methods: In this descriptive study, the facial CT scans were obta...

The task of artificial intelligence is to provide representation techniques for describing problems, as well as search algorithms that can be used to answer our questions. A widespread and elaborated model is state-space representation, which, however, has some shortcomings. Classical search algorithms are not applicable in practice when the state space contains even only a few tens of thousand...

Recently work on technological change has emphasized the importance and implications of di¤erent knowledge bases among industries in terms of innovative potential. In some industries, products and processes have become more complex, as well as there appears to be increased convergence in some market segments. Although increasing attention has been given to features of knowledge bases, there hav...

The breadth-rst manipulation technique has proven eeective in dealing with very large sized BDDs. However , till now the lack of dynamic variable reordering has remained an obstacle in its acceptance. The goal of this work is to provide eecient techniques to address this issue. After identifying the problems with implementing variable swapping (the core operation in dynamic reordering) in bread...

This paper suggests a novel segmentation algorithm for separating moving objects from the background in video sequences without any prior information of the sequence nature. We formulate the problem as a connectivity analysis of region adjacency graph (RAG) based on temporal information. The nodes of the RAG represent homogeneous regions and the edges represent temporal information, which is ob...