Rhodopsin molecules are photochemically reactive membrane-embedded proteins, with seven transmembrane α-helices, which bind the chromophore retinal (vitamin A aldehyde). They are roughly divided into two groups according to their basic functions: (i) ion transporters such as proton pumps, chloride pumps, and cation channels; and (ii) photo-sensors such as sensory rhodopsin from microbes and vis...

The development of an Automatic Speech Recognition (ASR) system for the bilingual MediaParl corpus is challenging for several reasons: (1) reverberant recordings, (2) accented speech, and (3) no prior information about the language. In that context, we employ frequency domain linear prediction-based (FDLP) features to reduce the effect of reverberation, exploit bilingual deep neural networks ap...

PURPOSE To estimate the current cancer burden in Korea, newly diagnosed cancer cases and cancer incidence rates were calculated for the years 2003~2005. MATERIALS AND METHODS The cancer incidence cases and rates were calculated from the Korea National Cancer Incidence Database. Crude and age-standardized incidence rates were calculated by gender for specified cancer sites in 5-year age groups...

Enterobacteria have developed numerous constitutive and inducible strategies to sense and adapt to an external acidity. These molecular responses require dozens of specific acid shock proteins (ASPs), as shown by genomic and proteomic analysis. Most of the ASPs remain poorly characterized, and their role in the acid response and survival is unknown. We recently identified an Escherichia coli ge...

Automatic Speaker Recognition (ASR) is an economic method of biometrics because of the availability of the low cost and powerful processors. Results of ASR are highly dependent on database, i.e., the results obtained in an ASR system are meaningless if the recording conditions are not of standard. In this paper, a methodology and a typical experimental setup used for development of corpora for ...

This paper is about Translation Dictation with ASR, that is, the use of Automatic Speech Recognition (ASR) by human translators, in order to dictate translations. We are particularly interested in the productivity gains that this could provide over conventional keyboard input, and ways in which such gains might be increased through a combination of ASR and Statistical Machine Translation (SMT)....

Automatic speech recognition (ASR) systems lack joint optimization during decoding over the acoustic, lexical and language models; for instance the ASR will often prune words due to acoustics using short-term context, prior to rescoring with long-term context. In this work we model the automated speech transcription process as a noisy transformation channel and propose an error correction syste...