• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.1
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• pp.40-49
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• 2010

This study investigates the differences in: 1) attitudes toward the advertising ofjeans, buying intension, importance of merchandise selection factors, and utilization of information sources among groups according to the level of fashion involvement 2) attitudes toward advertising and buying intension among types of advertising 3) importance among merchandise selection factors 4) utilization among types of information source. Questionnaires were distributed to 300 men and women between 10 and 30 years of age. A sample of 286 men and women responded to the questionnaire. Using SPSS/PC version 12.0, factor analysis, reliability analysis, analysis of variance, and randomized block design are used for the data analysis. The results showed significant differences in: 1) attitudes toward the advertising of jeans, buying intension, importance of merchandise selection factors, and utilization of information source among groups according to levels of fashion involvement 2) attitudes toward advertising and buying intension among types of advertising 3) importance among merchandise selection factors 4) utilization among types of information sources.

• Parasites, Hosts and Diseases
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• v.55 no.2
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• pp.175-183
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• 2017

Codon usage bias (CUB) is a unique property of genomes and has contributed to the better understanding of the molecular features and the evolution processes of particular gene. In this study, genetic indices associated with CUB, including relative synonymous codon usage and effective numbers of codons, as well as the nucleotide composition, were investigated in the Clonorchis sinensis tyrosinase genes and their platyhelminth orthologs, which play an important role in the eggshell formation. The relative synonymous codon usage patterns substantially differed among tyrosinase genes examined. In a neutrality analysis, the correlation between $GC_{12}$ and $GC_3$ was statistically significant, and the regression line had a relatively gradual slope (0.218). NC-plot, i.e., $GC_3$ vs effective number of codons (ENC), showed that most of the tyrosinase genes were below the expected curve. The codon adaptation index (CAI) values of the platyhelminth tyrosinases had a narrow distribution between 0.685/0.714 and 0.797/0.837, and were negatively correlated with their ENC. Taken together, these results suggested that CUB in the tyrosinase genes seemed to be basically governed by selection pressures rather than mutational bias, although the latter factor provided an additional force in shaping CUB of the C. sinensis and Opisthorchis viverrini genes. It was also apparent that the equilibrium point between selection pressure and mutational bias is much more inclined to selection pressure in highly expressed C. sinensis genes, than in poorly expressed genes.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.1
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• pp.47-53
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• 2001

In this paper, we compare the classification performances of both ensemble and clustering algorithms (Data Bagging, Variable Selection Bagging, Parameter Combining, Clustering) to logistic regression in consideration of various characteristics of input data. Four factors used to simulate the logistic model are (1) correlation among input variables (2) variance of observation (3) training data size and (4) input-output function. In view of the unknown relationship between input and output function, we use a Taguchi design to improve the practicality of our study results by letting it as a noise factor. Experimental study results indicate the following: When the level of the variance is medium, Bagging & Parameter Combining performs worse than Logistic Regression, Variable Selection Bagging and Clustering. However, classification performances of Logistic Regression, Variable Selection Bagging, Bagging and Clustering are not significantly different when the variance of input data is either small or large. When there is strong correlation in input variables, Variable Selection Bagging outperforms both Logistic Regression and Parameter combining. In general, Parameter Combining algorithm appears to be the worst at our disappointment.

• The Journal of Industrial Distribution & Business
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• v.11 no.10
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• pp.17-25
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• 2020

Purpose: The purpose of this study is to narrow the target down to college students representing single-person households to identify the main attributes of their choice of Home Meal Replacement(HMR) and to look at the impact on satisfaction and repurchase intentions. Research design, data and methodology: An online survey was conducted for consumers who purchased HMR products at least once and a total of 264 questionnaires were used for demonstration analysis. The collected data have verified for validity and reliability between measurement variables through exploratory factor analysis and reliability analysis. Results: As a result, curiosity, economy, safety, and brand, which are HMR selection attributes that university students' value, have a significant impact on satisfaction, and satisfaction has a significant impact on the intention of repurchase, a variable of behavior. In addition, the adjustment effect of health value pursuit was significant only in safety attributes. Conclusions: This study divided the target group to examine what the HMR selection attributes of single-person college students are, the main consumer of HMR, and how selective attributes affect satisfaction and willingness to repurchase. In the process, we wanted to find out if there was a moderating effect on the health-oriented values in the dietary lifestyle.

• Korean Journal of Human Ecology
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• v.24 no.1
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• pp.111-122
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• 2015

The purpose of this study was to identify the shoes satisfaction and selection criteria according to women's BMI. Data was collected from 323 women in their 20-40's. Factor analysis, one-way ANOVA, Chi-square test, and multi regression analysis were done. Women were segmented into the under weight group, the regular weight group, and the over weight group according to their BMI. The factors of shoes selection criteria were fit and practicality, appearance, fashion and brand, materials and sewing, comfort and economy, and size. Generally most women were satisfied with the styles of shoes but dissatisfied with materials and size. The underweight group's foot was shorter and narrower, shoes was shorter and heel height was higher but the over weight group was opposite. The under weight group were satisfied with higher heel and comfort and practical shoes. The regular weight group were satisfied with higher heel and comfort and economy shoes but the over weight group was dissatisfied with higher heel and comfort and economy shoes.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.217-228
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• 2020

The selection factors of service companies have changed in accordance with intensifying competition in the marine transportation service market and environment changes of transportation services. To explore the important factors of customer choice to marine transportation service, this study empirically examines the influence of these selection factors; service provision area, price competitiveness, corporate image, service expertise, and sales support, on transaction continuity through customers' perceived service value and satisfaction. Based on an online survey with those in the Korean marine transportation industry, this study conducted statistical analyses using structural equation modeling. Based on relevant previous studies, the current study constructed a total of 55 survey questions. Finally, 213 questionnaires were collected. Among the five selection factors, corporate image did not affect perceived service value, and price competitiveness was still the most important factor. However, service expertise and sales support were found to be more important factors than regional factors. In order to maintain transaction continuity, shipping companies should also strive to improve their service quality to their customers. In particular, service quality strategies focused on time and regional factors should develop to strategies with the key factors for the changed business environment.

• Biotechnology and Bioprocess Engineering:BBE
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• v.5 no.1
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• pp.1-6
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• 2000

For the rapid selection of higher recombinant hirudin producing strain in a methylotrophic yeast Hansenula polymorpha, a multiple gene integration and dose-dependent selection vector, based on a telomere-associated ARS and a bacterial aminoglycoside 3-phosphotransferase (aph) gene, was adopted. Two hirudin expression cassettes (HV1 and HV2) were constructed using the MOX promoter of H. polymorpha and the mating factor $\alpha$ secretion signal of S. cerevisiae. Multiple integrants of a transforming vector containing hirudin expression cassettes were easily selected by using an antibiotic, G418. Hirudin expression level and integrated plasmid copy number of the tested transformants increased with increasing the concentration of G418 used for selection. The expression level of HV1 was consistently higher than that of HV2 under the similar conditions, suggesting that the gene context might be quite important for the high-level gene expression in H. polymorpha. The highest hirudin producing strain selected in this study produced over 96 mg/L of biologically active hirudin in a 500-mL flask and 165 mg/L in a 5-L fermentor.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.11C
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• pp.1132-1138
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• 2002

This paper proposes a reducing power consumption of a scheduling algorithm for optimal selection of supply voltage. In scheduling of reduction power consumption, we determine the control steps of operations to be executed by exploiting the possibility of using variable voltage levels to reduce power consumption. In the optimal selection of supply voltage binding, we minimize the main factor of the power consumption of the switching activity on the registers using a graph coloring technique. From a set of experiments using high-level benchmark examples, we show that the proposed algorithm prefer to use optimal selection supply voltages rather than uniformed single voltage is effective in reducing power consumption.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.1
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• pp.48-55
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• 2001

The survey was carried out for the student sin colleges of SangJi University for analyzing the parameters affecting the selection of ones cultural studies and major subjects. The number of respondents was 204, and the responses were computer-processed utilizing Excel and statistical software SPSS. The attributes of main factors were composed of House of Quality(HOQ) that is basic matrix of Quality Function Development. From the survey analysis, selection criteria for ones cultural studies and major subjects are as follows. In selecting ones cultural studies, teaching methodology is the most important factor than assignment, the percentage of attendance and academic credit. And in case of major subjects, no other factors than the recommendation by seniors were significantly affected ones subject selection.

• Journal of the Korean Society of Food Culture
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• v.30 no.5
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• pp.611-620
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• 2015

This study was conducted on wine consumers to explore their behavioral characteristics concerning their drinking frequency of wine, wine selection factors, and difficulties in selecting wines. Data were collected during February 19th 2014 to April 20th 2014. Respondents were students who were taking classes about wine at a University located in the Gyeonggi-do area. Prior to the analysis, wine consumers were classified based on frequency of consumption: those who consumed wine less than once a month were classified as "Tell me consumers", whereas those who consumed wine once or more a month were classified as "Engage me consumers." The wine selection factors of the two groups were as follows: 'label aspect', 'taste and aroma', 'use purpose', and 'price and recommendation'. Regarding 'label aspect' and 'use purpose', there were significant differences between the two groups. Regarding difficulties in selecting wines, "Tell me consumers" mentioned the following: 'experience', 'price', and 'food pairing'. "Engage me consumers" mentioned the following: 'ability to identify new wines' and 'tastes of others who drink with or oneself'. Classifying domestic wine consumers and their behavioral features of drinking frequency of wine can be used for market segmentation of wine consumers.