• Molecules and Cells
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• v.44 no.5
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• pp.342-355
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• 2021

The microphthalmia-associated transcription factor family (MiT family) proteins are evolutionarily conserved transcription factors that perform many essential biological functions. In mammals, the MiT family consists of MITF (microphthalmia-associated transcription factor or melanocyte-inducing transcription factor), TFEB (transcription factor EB), TFE3 (transcription factor E3), and TFEC (transcription factor EC). These transcriptional factors belong to the basic helix-loop-helix-leucine zipper (bHLH-LZ) transcription factor family and bind the E-box DNA motifs in the promoter regions of target genes to enhance transcription. The best studied functions of MiT proteins include lysosome biogenesis and autophagy induction. In addition, they modulate cellular metabolism, mitochondria dynamics, and various stress responses. The control of nuclear localization via phosphorylation and dephosphorylation serves as the primary regulatory mechanism for MiT family proteins, and several kinases and phosphatases have been identified to directly determine the transcriptional activities of MiT proteins. In different immune cell types, each MiT family member is shown to play distinct or redundant roles and we expect that there is far more to learn about their functions and regulatory mechanisms in host defense and inflammatory responses.

• Journal of the Korean Home Economics Association
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• v.44 no.11
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• pp.43-50
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• 2006

The purpose of this study is to analyze the use and satisfaction on cosmetics of middle- and old-aged women with well-being pursuit disposition. A survey was conducted from January 20 to February 10 in 2006. The statistical analysis methods used to analyze the 393 middle- and old- aged female subjects were frequency analysis, reliability analysis, factor analysis, cluster analysis, crosstab, and multiple regression analysis. First, middle- and old-aged women were using functional cosmetics for wrinkle and whitening as well as skin lotion, moisture lotion and nutritive cream. They applied basic skin make-up only or partial make-up on the eyes and lips. Second, the well-being pursuit disposition factors were determined to be eco-friendly pursuit disposition, economical pursuit disposition, and health pursuit disposition. The well-being pursuit disposition factors had an effect on satisfaction of basic cosmetics. While the economical pursuit disposition factor had an effect on satisfaction of colored cosmetics. Third, the clusters from well-being pursuit disposition were determined to be wellbeing unconcerned group, eco-friendly concerned group, economical concerned group, and health concerned group. The proportion of subjects applying basic and colored cosmetics was high in health concerned group.

• Korean Journal of Child Studies
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• v.32 no.2
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• pp.87-104
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• 2011

The purpose of this study was to develop a basic life habit scale for infant early childhood. The participants of this study were composed of 1,000 parents of children aged from two to five years old in the Seoul, Gyeong-gi, and In-cheon areas. For the purposes of data analysis, the study made use of the following methods : descriptive statistics for SES variables, item-analysis, factor analysis for validity, and Cronbach's a for reliability. Most items were acceptable in terms of item response rates, and item discrimination. The results of factor analysis uncovered six factors, and 46 items were selected from a total of 69 items in the original scale. The six factors were (1) safety and rules (2) neatness (3) manners (4) self-help (5) eating habits (6) cleanliness. Cronbach's a value for the reliability of the factors ranged from .76 to .94.of Cooperative Learning. Methods. Westport, CT : Greenwood Press.

• Fashion & Textile Research Journal
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• v.18 no.6
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• pp.825-832
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• 2016

The purposes of this study was to investigate effects of fashion brand apps on smartphones flow and consumer satisfaction in mobile shopping. These findings provide new information to marketers for the marketing strategy for dealing with mobile shopping mall. A total of 233 usable questionnaires were obtained from men and women ages 20-30 who have mobile shopping purchasing experience. Data were analyzed by frequency analysis, factor analysis using SPSS for Window 22.0 and confirmatory factor analysis and structural equation model analysis by AMOS 22.0. The results were as follows. First, the analysis of fashion brand apps factors showed that it consist of 2 kinds of dimensions of basic information type and additional information type. Second, basic information type of fashion brand apps have had a direct impact on consumer satisfaction and did not affect the smartphones flow. Additional information type influence consumer satisfaction through a smartphones flow. Basic information type of fashion brand apps showed a greater impact on consumer satisfaction than a smartphone flow. A managerial implication was discussed for fashion brand marketers to develop strategies on fashion brand apps that could stimulate and increase the consumer flow and satisfaction.

• Journal of Acupuncture Research
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• v.24 no.2
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• pp.113-123
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• 2007

목적 : 황기가 혈관 신생 작용이 있는지에 관하여 관찰한다. 황기는 상처의 치유나 허혈성 질환에 효과를 나타내는 것으로 알려져있다. 이러한 효과가 황기의 혈관 신생작용과의 관련성을 이해하며 향후 임상에 쓰일 수 있는 황기 약침액 개발을 위한 기초 자료를 목표로 한다. 방법 : 황기의 혈관 신생 작용의 관찰을 위하여 human umbilical vein endothelial cells(HUVECs)와 Matrigel angiogenesis model을 이용하여 연구하였다. 결과 : 황기는 용량에 따라서 HUVECs의 증식을 나타내었다. 또한 혈관 내피 세포의 이동과 관형 형성을 보였다. 혈관 신생 물질인 basic fibroblast growth factor(bFGF)가 황기에 의해 증가하였다. Matrigel angiogenesis model에서 황기는 조직학적으로 혈관 형성을 촉진하였으며，헤모글로빈의 증가를 나타내었다.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.225-231
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• 1996

The purpose of this study is providing basic information to make torso and original design of clothing of the old. Grasping the body of the old was advanced and made specific types. The objects of this study are 320 people whose age is 60 .approx. 85 and we extracted forming factors of a body by factor analysis about 57 items and we made types of a body by cluster analysis. Principal component analysis which is one of the basic methods in factor analysis was applied to the interpretation of anthropometric data. As a result of data are able to be decided into appropriate group

• Journal of Korean Society of Forest Science
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• v.112 no.2
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• pp.188-194
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• 2023

This study aimed to derive the basic wood density, one of several carbon emission factors, for carbon accounting of bamboo forests in Korea. Bamboo is mainly distributed in Jeollanam-do and Gyeongsangnam-do provinces, and 101 sample trees were selected for each of the three species (Phyllostachys nigra var. henonis, P. bambusoides, and P. pubescens). The basic wood density derivation used the KS F 2098 method. The measurements showed that the basic wood density was 0.83 g/cm³ for P. nigra var. henonis, 0.81 g/cm³ for P. bambusoides, and 0.72 g/cm³ for P. pubescens. However, the bamboo distribution area in Korea is not very large, and P. pubescens grows in one area only. Therefore, the basic wood density that can be applied to bamboo was 0.79 g/cm³. Evaluation of the uncertainty of the extracted basic wood density showed a very low value of 1.61%, which confirmed the reliability of the basic wood density derived from this analysis. The basic wood density, biomass expansion factor, and root-to-shoot ratio were used to calculate the carbon storage capacity of one bamboo plant and expanded to calculate the capacity for a hectare of bamboo. Carbon storage and absorption of bamboo were calculated by applying a carbon-emission factor, such as the basic wood density. These study results are expected to contribute to the carbon-neutral policy and forest management direction in Korea.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.7
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• pp.758-769
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• 2003

In this research, I classified adult women's back types through anthropometric measurement and photographic measurement to present a judging individual body size according to the type. Also, Ⅰ calculated regression fomula by types and presented the basic bodice pattern. The results were as follows: 1. The result of factor analysis indicated that 5 factors were extracted and those factors comprised 75.89% of total variance. 2. According to the cluster analysis, Ⅰclassified the back types into 6 types. Type 1 was passive posture in the upper and the lower parts of the back. Type 2 was active posture in the upper and the lower parts of the back. Type 3 had the lowest protrusion of the back. Type 4 had the upper part of the back which is mostly bent downward. Type 5 was the most suitable shape. Type 6 had the lower part of the back which was turned over the most. 3. Ⅰconducted a discriminant analysis to judge the body types of individuals. 4. For the calculation of measurements necessary for the basic bodice pattern, Ⅰpresented regression formulas by each type. 5. By conducting the wearing experiments, Ⅰsuccessfully made the final basic bodice patterns by types. As a result of comparative experiments between the basic bodice patterns and comparison bodice pattern, the suitability of basic bodice patterns were more highly assessed.

• Journal of Microbiology and Biotechnology
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• v.12 no.2
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• pp.340-344
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• 2002

A gene, npl, encoding neopullulanase from Paenibacillus sp. KCTC 8848P was cloned and expressed in Escherichia coli. It consisted of an open reading frame of 1,530 bp for a protein that consisted of 510 amino acids with a molecular weight of 58,075 Da. The deduced amino acid sequence of the neopullulanase gene had $92\%$ identity with the neopullulanase of Bacillus polymyxa. The npl gene was also expressed in Saccharomyces cerevisiae secreting Schwanniomyces occidentalis glucoamylase (GAM1) under the control of the yeast actin gene (ACT1) promoter. Secretion of the neopullulanase was directed by the yeast mating pheromone ${\alpha}$ -factor ($MF{\alpha}1$) prepro region. Enzyme assays confirmed that co-expression of npl and GAM1 enhanced starch and pullulan degradation by S. cerevisiae.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.287-293
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• 2005

Predicting RNA secondary structure as accurately as possible is very important in functional analysis of RNA molecules. However, different prediction methods and related parameters including terminal GU pair of helices, minimum length of helices, and free energy systems often give different prediction results for the same RNA sequence. Then, which structure is more important than the others? i.e. which combinations of the methods and related parameters are the optimal? In order to investigate above problems, first, three prediction methods, namely, random stacking of helical regions (RS), helical regions distribution (HD), and Zuker's minimum free energy algorithm (ZMFE) were compared by taking 1139 tRNA sequences from Rfam database as the samples with different combinations of parameters. The optimal parameters are derived. Second, Zuker's dynamic programming method for prediction of RNA secondary structure was revised using the above optimal parameters and related software BJRNAFold was developed. Third, the effects of short-range interaction were studied. The results indicated that the prediction accuracy would be improved much if proper short-range factor were introduced. But the optimal short-range factor was difficult to determine. A user-adjustable parameter for short-range factor was introduced in BJRNAFold software.