• Nuclear Engineering and Technology
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• v.51 no.6
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• pp.1554-1560
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• 2019

Development of digital main control rooms (MCRs) has greatly changed operating environments by altering operator tasks, and thus the unique characteristics of digital MCRs should be considered in terms of human reliability analysis. Digital MCR tasks can be divided into primary tasks that directly supply control input to the plant equipment, and secondary tasks that include interface management conducted via soft controls (SCs). Operator performance regarding these secondary tasks must be evaluated since such tasks did not exist in previous analog systems. In this paper, we analyzed SC-related tasks based on simulation data, and classified the error modes of the SCs following analysis of all operational tasks. Then, we defined the factors to be considered in human reliability analysis methods regarding the SCs; such factors are mainly related to interface management and computerized operator support systems. As these support systems function to reduce the number of secondary tasks required for SC, we conducted an assessment to evaluate the efficiency of one such support system. The results of this study may facilitate the development of training programs as well as help to optimize interface design to better reflect the interface management task characteristics of digitalized MCRs.

• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.603-615
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• 2021

The aim of this study was to analyze the semantic network structure of keywords and the visual composition of images extracted from Instagram in relation to the multi-persona phenomenon with in fashion imagery, which has recently been attracting attention. To this end, the concept of a 'secondary character', which forms a separate identity from a 'main character' on various social media platforms as well as on the airwaves, was considered as the spread of multi-persona and #SecondaryCharacter on Instagram was investigated. 3,801 keywords were collected after crawling the data using Python and morphological analysis was undertaken using KoNLP. The semantic network structure was then examined by conducting a CONCOR analysis using UCINET and Netdraw to determine the top 50 keywords. The results were then classified into a total of 6 clusters. In accordance with the meaning and context of the keywords included in each cluster, group names were assigned : virtual characters, relationship with the main character, hobbies, daily record, N-job person, media and marketing. Image analysis considered the technical, compositional, and social styles of the media based on Gillian Rose's visual analysis method. The results determined that Instagram uses fashion images that virtualize one's face to produce multi-persona representation s that show various occupations, describe different types of hobbies, and depict situations pertaining to various social roles.

• Journal of Preventive Medicine and Public Health
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• v.15 no.1
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• pp.179-186
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• 1982

The methods controlling the confounding factors were discussed using the data of secondary infertility with induced abortion. Mantel-Haenszel method and logistic model were applied in the analysis to find out which factors were confounding and/or effect modification variables. In the logistic analysis, the main effect of induced abortion, spontaneous abortion, age and interaction effect between induced abortion and spontaneous abortion were chosen as independent variables being regressed into logistic functions. Spontaneons abortion was interpreted as a potential confounder and at the same time potential effect modifier and age was interpreted as potential confounder. Spontaneous abortion was shown to be more important influencing factor than age to the secondary infertility. In the course of logistic analysis, the problem of parameter estimation and hypothesis testing, assessing the fitness of a model, and selection of the best model were briefly explained. For the program of logistic model, FUNCAT Procedure of SAS package was chosen.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.8
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• pp.820-827
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• 1990

For the purpose of investigation the thrust force, the lateral force, and the eddy current loss when the primary and the secondary of a single-sided linear induction motor is displaced in the space, this paper proposes an analysis technique for the characteristics of the eddy current induced on the secondary and the magnetic flux density distribution in the y-z plane by F.E.M. To verify the effectiveness of this analysis technique, the starting-thrust force due to a lateral displacement is compared to the experimental data.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.4
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• pp.474-483
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• 2011

Purpose: This study was conducted to identify factors affecting nurses' burnout in secondary general hospitals. Methods: Data were collected through structured questionnaires from 241 nurses working at the secondary general hospitals with below 400 beds in the P, C, and S city between April and May, 2009. Data analysis was done with independent t test, ANOVA, Pearson correlation coefficient, and multiple stepwise multiple regression with SPSS WIN v 17.0. Results: Burnout was significantly different according to religion, age, clinical experiences, and shift work. Burnout score of the subjects was 58/100. Burnout of the subjects were positively correlated with job stress and negatively correlated with hardness, self efficiency, self esteem, spiritual wellbeing, social support, and job satisfaction. The explained variances for burnout was 51.8% and factors affecting nurses' burnout in secondary general hospitals were job stress, hardness, self efficiency, job satisfaction and shift work. Conclusion: These results showed the significant factors fo nurses' burnout in secondary general hospitals. These findings can be utilized to development of strategies for reducing job stress and enhancing hardness, self efficiency and job satisfaction.

• The Journal of Sustainable Design and Educational Environment Research
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• v.2 no.2
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• pp.1-14
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• 2002

The purpose of this study was to develop the expert system based on the artificial neural networks for architectural design phases. The applied building was secondary school focussed in its space-relational-diagram. To implement this system, a data matrix derived from case based database was used as learning pattern, and its output data was lastly evaluated by the educational phase's behavior & activity analysis data. The results of this study were as follows; 1) the needs of educational system for real world spacing can be solved by this expert system based on neural networks. 2) FCM also can be applied for architect's needs. 3) Afterwards, for developing architectural planning & design processes, information technology (for example, internet, odbms, dca and etc.) can be used.

• Child Health Nursing Research
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• v.30 no.1
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• pp.67-74
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• 2024

Purpose: This study aimed to identify the general characteristics and health behaviors of students with non-therapeutic substance use. Methods: This secondary data analysis used data from the 17th Korea Youth Risk Behavior Web-based Survey (2021). Analyses of the 54,848 adolescents used descriptive statisics, the Rao-Scott χ² test, and logistic regression. Results: The risk factors for substance use among students were anxiety, loneliness, living separately from family, suicidal ideation, e-cigarette use, and high stress. Conclusion: The findings help identify the risk factors for non-therapeutic drug use among adolescents. Since South Korea does not have a drug prevention program for its adolescent population, an educational plan based on these findings could help prevent adolescent substance abuse.

• Journal of Korean Society of Forest Science
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• v.97 no.5
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• pp.501-507
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• 2008

The data of crown width with 4 directions, DBH, tree height, and coordinate for sample trees were collected from 30 permanent sample plots in secondary fore st of the Maoershan Experimental Forestry Farm, Northeast China. In this paper, the competition of individual trees in stand were discussed for secondary forest by using iterative Hegyi competition index and crown overlap index that represented the competitive and cooperative interactions among neighboring trees. Active competitors of subject tree in the competition zone were selected to calculate the iterative competition index. Using the results of crown classification based on the equal crown projection area, a new distance dependent competition index called crown overlap index (COI) was developed for secondary forest. The COI performed well in describing the crown competition rather than crown competition factor (CCF). The individual-based competition index discussed in this paper will provide more precise for developing individual tree growth models for secondary forest and it can also use to adjust the stand structure for spatial optimal management.

• Journal of Korean Home Economics Education Association
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• v.6 no.2
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• pp.1-12
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• 1994

The purpose of the study were to: (1) determine important home management concepts in the secondary home economics education curriculum,(2) identify the educational needs related to home management perceived by secondary school students, and the factors affecting it, (3) use the findings to make recommendations for developing home economics curriculum and teaching home economics in the secondary school. The questionnaires were distributed to the 1,029 secondary school students, lived in seoul, local cities, and rural area. The data were analyzed by using descriptive statistics, T-test one ay ANOVA with scheffe test, and multiple regression analysis. Forty home management concepts were selected based on the related literatures. Stress man-agement, leisure time activities, resource use, making money for adolescents, work simplication methods were the concepts which showed the highest level of educational needs perceived by the students. The educational needs were affected by sex, school level, residence area of the respondents, and other factors related to the perception about home economics such as preference, GPA, etc.

• Asian Journal of Business Environment
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• v.10 no.3
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• pp.23-33
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• 2020

Purpose: The purpose of this study is for the leading sector, a pattern of shifting structure of the economic sector, and community export competitiveness on the economy Malinau Regency. Research design, data, and methodology: The type of data used is secondary data with a quantitative approach of 2009-2018. The study data used Location Quotient (LQ), Shift Share Analysis (SSA), and Revealed Comparative Advantage (RCA) analysis tools. Results: There are 6 leading sectors: agriculture; electricity, gas, and clean water; building and construction; trade, hotels, and restaurants. That has been classified has changed the economic structure of the Malinau Regency from the secondary sector to the tertiary and primary sectors in 10 years. While, community export competitiveness of the Malinau Regency through RCA Analysis, see if the export products of coal and excavation (types A, B, C) are shown to have a higher comparative advantage with comparative advantage. This shows that only a few commodities that can provide the good performance of export. Conclusions: Analysis of economic growth in the Malinau Regency after regional autonomy shows that there has been a shift in the economic structure of the economy which is dominated by the structure of the primary sector.