The effect of motivational self-regulatory strategies on L2 learners’ achievement has scarcely been examined within the context of our country, Iran. This study is concerned with examining the relationship between motivational self-regulatory strategies and their L2 reading and L2 writing achievement. It also explores the relationship of motivational self-regulatory strategies and use of langua...

The movement parameters of yellow fin tuna schools were analyzed by means of scanning sonar in tuna purse seine capture situations in the Oman Sea in June 2010. There was significant difference in swimming speed and radial swimming direction between the escaped and captured schools. In escaped cases, the fish schools swam faster with mostly horizontal avoidance behavior to the sound stimuli fro...

MicroRNAs (miRNAs) play important roles in gene regulatory networks. In this paper, we propose a probabilistic topic model to infer regulatory networks of miRNAs and their target mRNAs for specific biological conditions at the post-transcriptional level, so-called functional miRNA-mRNA regulatory modules (FMRMs). The probabilistic model used in this paper can effectively capture the relationshi...

The standard expression quantitative trait loci (eQTL) detects polymorphisms associated with gene expression without revealing causality. We introduce a coupled Bayesian regression approach--eQTeL, which leverages epigenetic data to estimate regulatory and gene interaction potential, and identifies combination of regulatory single-nucleotide polymorphisms (SNPs) that explain the gene expression...

Toward system-level understanding of biological systems, we need a formalism to model and analyse them. Due to incompleteness of knowledge about quantitative parameters and molecular mechanisms, qualitative methods have been useful alternatives. We have been working on temporal logic-based approach for qualitative modelling and analysis of gene regulatory networks. Although our framework is wel...

In this paper we provide a brief introduction to three computational methods involving non-linear neural networks, for inferring genetic regulatory interactions. These methods are applied to model regulatory interactions in rathippocampus-development temporal gene expression data. A testing procedure, alternating time points, is devised to evaluate the performance and generalizability of a trai...

The Do Not Track header (henceforth DNT:1) seeks to provide privacy protections against third party tracking through user request and regulation. It is our position that while DNT:1 is potentially useful as a purely informational tool for browser vendors and service providers, enforcement of the header suffers from a number of issues including covert circumvention, enforcement jurisdiction, man...

Regulatory policies governing the safety of genetic engineering (rDNA) and the resulting products (GMOs) have been contentious and divisive, especially in agricultural applications of the technologies. These tensions led to vastly different approaches to safety regulation in different jurisdictions, even though the intent of regulations-to assure public and environmental safety-are common world...

Regulation of gene expression involves long-distance communication between regulatory elements and target promoters, but how this is achieved remains unknown. Insulator elements have been proposed to modulate the communication between regulatory elements and promoters due to their ability to insulate genes from regulatory elements or to take part in long-distance interactions. Using a high-reso...

Sculpting various 3D facial expressions from a static 3D face model is a process with intensive manual tuning efforts. In this paper, we present an interactive 3D facial expression posing system through 2D portrait manipulation, where a manipulated 2D portrait serves a metaphor for automatically inferring its corresponding 3D facial expression with fine details. Users either rapidly assemble a ...