A stoichiometric mixture of evaporating materials for ZnAl2Se4 single-crystal thin films was prepared in a horizontalelectric furnace. These ZnAl2Se4 polycrystals had a defect chalcopyrite structure, and its lattice constants were a0=5.5563Åand c0=10.8897Å.To obtain a single-crystal thin film, mixed ZnAl2Se4 crystal was deposited on the thoroughly etched semi-insulating GaAs(100) substrate by a hot wall epitaxy (HWE) system. The source and the substrate temperatures were 620oCand 400oC, respectively. The crystalline structure of the single-crystal thin film was investigated by using a double crystal X-ray rocking curve and X-ray diffraction ω-2θ scans. The carrier density and mobility of the ZnAl2Se4 single-crystal thin filmwere 8.23×1016cm−3 and 287m2/vs at 293K, respectively. To identify the band gap energy, the optical absorption spectra ofthe ZnAl2Se4 single-crystal thin film was investigated in the temperature region of 10-293K. The temperature dependence ofthe direct optical energy gap is well presented by Varshni's relation: Eg(T)=Eg(0)−(αT2/T+β). The constants of Varshni'sequation had the values of Eg(0)=3.5269eV, α=2.03×10−3eV/K and β=501.9K for the ZnAl2Se4 single-crystal thin film.The crystal field and the spin-orbit splitting energies for the valence band of the ZnAl2Se4 were estimated to be 109.5meVand 124.6meV, respectively, by means of the photocurrent spectra and the Hopfield quasicubic model. These results indicatethat splitting of the ∆so definitely exists in the Γ5 states of the valence band of the ZnAl2Se4/GaAs epilayer. The threephotocurrent peaks observed at 10K are ascribed to the A1-, B1-exciton for n=1 and C21-exciton peaks for n=21.

Eugenol (4-allyl-2-methoxyphenol) is a phenol derivative and generally used in dental treatment. A few investigator reported that eugen이-induced C)πoto잉city by apopto디c pathway, but it is not yet well understood In the present study, to investigate the eugenol-induced cytoto잉city by apoptosis, we have examined the apoptotic molecules and pathway in primary human gingival fibroblast (HGF) and human salivary gland cells (HSG). To identify apoptotic cell death, 3-(4,5-dimethylthiazol-2-yl)-2 ,5-diphenyl tetrazolium bromide (MTT) reduction assay with or without N-acetylcysteine (NAC), and the morphological study by propidium iodide (pI) staining were screened. And to investigate the apoptotic pathway, reverse transcriptase-polymerase chain reaction (RT-PCR) for apoptotic molecules and caspase aαivity assay were performed. Both M1T reduction assay and an addition of NAC showed that eugenol act as a pro-oxidant led to cell death. With the morphological study, both cells showed apoptotic change by nuclear fragmentation and/or chromatin condensations. With the apoptotic machinery study, the Bax and Bcl-2 mRNA expression were not detected in HGF. But, for HSG, the increased expression of Bax with decreased of Bcl-2 was observed. And the expression of Apaf-l was not detected or nα significantly increased in HGF and HSG, respectively. With measure of caspase activity, there was no change of caspase activities in HGF. But, for HSG, there was decrease of caspase 9 activity and increased caspase 3 activity. We suggest eugenol-treated HGF underwent apoptosis independent of Bcl family and caspase. However, for eugenol-πeated HSG, apoptosis occurred via Bcl famiIy and caspase pathway.

The present study aims to investigate how well Google Voice Actions, an automatic speech recognition system, recognizes Korean young English learners’ pronunciation of English words. To achieve this aim, the current study arranged for 18 Korean elementary school students to pronounce 219 English words and recorded their pronunciation. Then, the intelligibility of their pronunciation was measured using Google Voice Actions. The current study analyzed the measured intelligibility of Google Voice Actions in terms of the phonemic difficulty and familiarity the learners have with the words. The phonemic difficulty of each word was labelled as Group 1 to 5, depending on the number of difficult phonemic elements it contains. The familiarity of each word was also measured through a questionnaire. The findings revealed that the accuracy in Google Voice Actions’ recognition was closely related to the students’the phonemic difficulties and familiarity of the words. Interestingly, the pronunciation of words in Group 5 gained the highest recognition scores and that of Group 1 the second highest scores. Those of Group 2, 3, and 4 recorded lower recognition scores than the two groups. These results suggest that the more phonemic information the pronunciation of a word provides, the more relevant clues would be available for Google Voice Actions. This increases the possibility of successful search from the speech database.