abstract this study scrutinized the interaction between linguistic and strategic variables in reading comprehension test performance of iranian efl learners. to this end, the interaction among the participants’ reading comprehension test performance, use of test-taking strategies, and level of language proficiency was analyzed. the participants comprised 286 students who answered a reading comp...

In recent years, the performance of face verification and recognition systems based on deep convolutional neural networks (DCNNs) has significantly improved. A typical pipeline for face verification includes training a deep network for subject classification with softmax loss, using the penultimate layer output as the feature descriptor, and generating a cosine similarity score given a pair of ...

Identification of similar objects from a large collection of objects is one fundamental technique in several different areas in computer science, e.g., the casebased reasoning and the machine discovery. Strings are the most basic representations of objects inside computers, and thus string similarity is one of the most important topics in computer science. Similarity measure must be sensitive t...

MOTIVATION Protein structure similarity is often measured by root mean squared deviation, global distance test score and template modeling score (TM-score). However, the scores themselves cannot provide information on how significant the structural similarity is. Also, it lacks a quantitative relation between the scores and conventional fold classifications. This article aims to answer two ques...

The Internet has billions of web pages and these web pages are attached to each other using URL(Uniform Resource Allocation). Web crawler is a main module of Search engine that gathers these documents from WWW. Most of the web pages present on Internet are active and changes periodically. Thus, Crawler is required to update these web pages to update database of search engine. In this paper, pri...

Protein structure prediction is critical to functional annotation of the massively accumulated biological sequences, which prompts an imperative need for the development of high-throughput technologies. As a first and key step in protein structure prediction, protein structural class prediction becomes an increasingly challenging task. Amongst most homological-based approaches, the accuracies o...

The social media craze is on an ever increasing spree, and people are connected with each other like never before, but these vast connections are visually unexplored. We propose a methodology Twigraph to explore the connections between persons using their Twitter profiles. First, we propose a hybrid approach of recommending social media profiles, articles, and advertisements to a user. The prof...

Many other functional classification schemes have been proposed besides the Gene Ontology [20][19][18][3][9]. Here we choose two to serve as a contrasting comparison to the Gene Ontology database: (1) the E. coli genome and proteome (GenProtEC) database [18], and (2) the Clusters of Orthologous Groups of proteins (COG) database [20]. We chose GenProtEC since we are focusing our investigation on...

The level of sequence similarity that implies similarity in protein structure is well established. Recently, many groups proposed thresholds for similarity in sequence implying similarity in enzymatic function. All previous results suggest the strong conservation of enzymatic function above levels of 50% pairwise sequence identity. Here, I argue that all groups substantially overestimated the c...

This paper presents a method for classifying a large and mixed set of uncharacterized sequences provided by genome projects. As the measure of sequence similarity, we use similarity score computed by a method based on the dynamic programming (DP), such as the Smith–Waterman local alignment algorithm. Although comparison by DP based method is very sensitive, when given sequences include a family...