• Environmental Analysis Health and Toxicology
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• 제14권1_2호
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• pp.65-73
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• 1999

Dioxins refer to a family of chemicals comprising 75 polychlorinated dibenzo-p-dioxin (PCDD) and 135 polychlorinated dibenzo-p-furan (PCDF) congeners, which may cause skin disorder, human immune system disruption, birth defects, severe hormonal imbalance, and cancer. The effects of exposure of dioxin-like compounds such as PCBs are mediated by binding to the aryl hydrocarbon receptor (AHR), which is a ligand-activated transcription factor. To grasp physicochemical factors affecting human toxicity of dioxins, six geometrical and topological indices, eleven thermodynamic variables, and quantum mechanical descriptors including ESP (electrostatic potential) were analyzed using QSAR and semi-empirical AM1 method. Planar dioxins with high lipophilicity and large surface tension show the probability that negative electrostatic potential in the lateral oxygen may make hydrogen bonding with DNA bases to be a carcinogen.

• 약학회지
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• 제36권6호
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• pp.529-537
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• 1992

To investigate the effect of ursolic acid on the expression of oncogenes in tumor cells of mice, sarcoma 180 ascites tumor cells were implanted into the left groin of ICR mice and the tumor bearing mice were treated with ursolic acid. The expression of oncogenes were measured by in situ hybridization method. Ursolic acid significantly reduced the expression of oncogenes in the tumor cells. Therefore, it can be said that the prestated anticarcinogenic effect of ursolic acid could be partly ascribed to the mechanism included in the oncogene´s transcription level.

• 대한음성학회:학술대회논문집
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• 대한음성학회 1996년도 2월 학술대회지
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• pp.47-61
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• 1996

The phonetic study of English language in Japan is a matter of great importance, a problem of major concern and a. vital subject The special difficulties which the Japanese college students have in learning English lie in the field of prosodic features of English, such as, syllable, rhythm, stress, intonation, prominence, of.. These difficulties have made Japanese students' pronunciation relatively monotonous or mora(ness). In my presentation, the specific phonetic features of Japanese language first will be discussed and clarified. And then the effective teaching method of intonation to improve Japanese students' pronunciation will be suggested. Finally, the oral dialogue with intonation analysis and transcription in the class room will be demonstrated to highlight the presentation.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVI)
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• pp.17-17
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• 2005

In this presentation, we will discuss several recent achievements developed in my laboratory for microarray-based diagnosis of human genetic mutations including HNF-1 and BRCA1 mutations. To determine the presence of the genetic mutations in a human sample, we prepared allele-specific oligonucleotide chips from selected mutation sites and generated target probes using a tow-step method for Cy-3 DNA $samples^{1)}$ or in vitro transcription of promoter-tagged PCR products for Cy-3 RNA $samples^{2)}$. Hybridization of the target probes to the chips successfully identified all of the genotypes for the tested sites. For more reliable diagnosis, we also employed single base extension (SBE) reaction and zip-code microarray technique for our strategy. Particularly we developed an efficient PNA zip-code microarray for the detection of $HNF-1{\alpha}$ $mutations^{3)}$. Using multiplex SBE reactions and zip-code strategy, we were able to correctly diagnose several mutation sites in exon 2 of $HNF-1{\alpha}$ with a wild-type and mutant including a MODY3 patient. These works represent successful applications of DNA microarray technology for the diagnosis of human genetic mutations.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.157-160
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• 2000

This paper deals with the fuzzy modeling for the complex and uncertain system in which conventional and mathematical models may fail to give satisfactory results. mGA(messy Genetic Algorithm) has more effective and adaptive structure than sGA with respect to using changeable-length string and VEGA(Virus Evolution Genetic) Algorithm) can search the global and local optimal solution simultaneously with reverse transcription operator and transduction operator. Therefore in this paper, the optimal fuzzy model is obtained using Virus-messy Genetic Algorithm(Virus-mGA). In this method local information is exchanged in population so that population may sustain genetic divergence. To prove the surperioty of the proposed approach, we provide the numerical example.

• Biomolecules & Therapeutics
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• 제16권3호
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• pp.184-189
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• 2008

The proto-oncogene protein DEK has been implicated in various human disease including cancer. We have shown that DEK induces caspase-dependent apoptosis in Drosophila by regulating histone acetylation. Reverse transcription-polymerase chain reaction (RT-PCR) method based on annealing control primers was used to screen and identify differentially expressed genes (DEGs) in DEK overexpressed HeLa cells. Among the genes identified, clusterin and fibrillarin have major role in apoptosis pathway regulation. TFIIIC and RPS24 are implicated in HAT mediated transcriptional initiation and cololectal cancer, respectively. To further analyze DEK's role in apoptosis, multiplex PCR was performed. Caspase-3, -7, and -10 and proapoptotic gene bid were newly identified as possible target genes regulated by DEK expression.

• ETRI Journal
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• 제38권3호
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• pp.487-493
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• 2016

Two new methods are proposed for an unsupervised adaptation of a language model (LM) with a single sentence for automatic transcription tasks. At the training phase, training documents are clustered by a method known as Latent Dirichlet allocation (LDA), and then a domain-specific LM is trained for each cluster. At the test phase, an adapted LM is presented as a linear mixture of the now trained domain-specific LMs. Unlike previous adaptation methods, the proposed methods fully utilize a trained LDA model for the estimation of weight values, which are then to be assigned to the now trained domain-specific LMs; therefore, the clustering and weight-estimation algorithms of the trained LDA model are reliable. For the continuous speech recognition benchmark tests, the proposed methods outperform other unsupervised LM adaptation methods based on latent semantic analysis, non-negative matrix factorization, and LDA with n-gram counting.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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• pp.274-277
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• 2007

The purpose of this study is 1) to describe the phoneme inventories of cochlear implant(CI) children and 2) to describe their utterances using narrow phonetic transcription method. All the subjects had more than 2 year-experience with CI and showed more than 87% open-set sentence perception abilities. Average consonant accuracy was 81.36% and it was improved up to 87.41% when distortion errors were not counted. They showed different error patterns from hearing aid users. The prominent error pattern was weakening of consonants.

• The Plant Pathology Journal
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• 제22권2호
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• pp.164-167
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• 2006

An immunocapture reverse transcription-polymerase chain reaction (IC/RT-PCR) was developed for simultaneous detection of two pepper-infecting RNA viruses, Pepper mud mottle virus (PMMoV) and Tobacco mild green mosaic virus (TMGMV). The assay could be performed in a single tube for simultaneous and sensitive detection of these tobamoviruses. This detection system revealed thousand-fold increase in detection sensitivity compare to ELISA. This method could save time and reagent cost compare to common RT-PCR which needs several reactions and several procedures of viral RNA extractions for the same number of samples.

• International journal of advanced smart convergence
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• 제7권2호
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• pp.33-37
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• 2018

In this study, we propose an iterative clustering algorithm that automatically clusters a set of voice signal data without a label into an optimal number of clusters and generates hmm model for each cluster. In the clustering process, the likelihood calculations of the clusters are performed using iterative hmm learning and testing while varying the number of clusters for given data, and the maximum likelihood estimation method is used to determine the optimal number of clusters. We tested the effectiveness of this clustering algorithm on a small-vocabulary digit clustering task by mapping the unsupervised decoded output of the optimal cluster to the ground-truth transcription, we found out that they were highly correlated.