Translation is fundamental for many biologic processes as it enables cells to rapidly respond to stimuli without requiring de novo mRNA synthesis. The mammalian/mechanistic target of rapamycin (mTOR) is a key regulator of translation. Although mTOR affects global protein synthesis, translation of a subset of mRNAs appears to be exceptionally sensitive to changes in mTOR activity. Recent efforts...

Appropriate regulation of mRNA translation is essential for growth and survival and the pathways that regulate mRNA translation have been highly conserved throughout eukaryotic evolution. Translation is controlled by a complex set of mechanisms acting at multiple levels, ranging from global protein synthesis to individual mRNAs. Recently, several mutations that perturb regulation of mRNA transl...

this research was conducted to examine whether there was a significant difference between the quality of translations produced by translation students who used bilingual (english to farsi) dictionaries with that of those using monolingual (english to english) dictionaries. to this end, 78 senior undergraduate students of english translation took part in a piloted english proficiency test, 60 of...

The shared memory paradigm provides many benefits to the parallel programmer, particular with respect to applications that are hard to parallelize. Unfortunately, there are currently no efficient implementations of OpenMP for distributed memory platforms and this greatly diminishes its usefulness for real world parallel application development. In this paper we introduce a basic strategy for im...

Regulation of mRNA translation is a major modulator of gene expression, allowing cells to fine tune protein levels during growth and differentiation and in response to physiological signals and environmental changes. Mass-spectrometry and RNA-sequencing methods now enable global profiling of the translatome, but these still involve significant analytical and economical limitations. We developed...

Neural models have recently shown big improvements in the performance of phrase-based machine translation. Recurrent language models, in particular, have been a great success due to their ability to model arbitrary long context. In this work, we integrate global semantic information extracted from large encyclopedic sources into neural network language models. We integrate semantic word classes...

English is a global language but is understood by few percentage of population in India. It continues to remain a barrier for rural population to learn and compete at a global level. Machine translation helps people from different places to understand an unknown language without the aid of human translator. A Text to Speech system generatesspeech from text given as input. The proposed system wi...

the present article reports a study carried out to investigate whether or not awareness of functional translation theories has any impact on the translation quality of translator trainees. 2oo iranian undergraduate students took part in this study. they were divided into four groups -two- experimental and two control groups. after homogenizing the participants by a toefl test, a translation pre...