• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2713-2723
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• 2014

This study adopts an ecological perspective to empirically navigate the issues surrounding the impact of parental abuse on the emotional development of adolescents. The data is used from the Korean Children and Youth Panel Survey 2011 (KCYPS 2011), which was conducted by the National Youth Policy Institute (n=2,270). Path models were constructed in which adolescents' environmental mediators (i.e., the relationship with parents, friends, and teachers; and school life) control their negative emotions (i.e., aggressiveness, negative physical symptoms, social weakness and depression); in turn to compare the difference between two groups based on parental abuse by using Structural Equation Modeling (SEM). As with the non-abused group (n=1,644), all the environmental mediators remained significant to control their negative emotion; whereas, the abused group (n=626) showed no significant pathway from their relationship with teachers and school life to negative emotion. This indicates that the abused group have limited number of the mediators to control their negative emotion than those of the non-abused group. For the non-abused group, the mediator with the highest total effect to control their negative emotion was the relationship with their friends; on the other hand, the abused group's mediator that showed the highest total effect to control their negative emotion was the relationship with their parents. Although the relationship with teachers remained significant as a mediator to affect school life for the both groups, teachers were not significant to control the negative emotion of the abused group. These findings suggest that the negative relationship with teachers in the abused group is a factor to threat the school adaptation of adolescents, which also leads to problems that are related to the emotional development of adolescents.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.2
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• pp.146-156
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• 2016

Objectives : The aim of this study was to evaluate the associations between vasomotor symptoms and factors such as sociodemographics, health behaviors, medical condition, depression, stress, anxiety, attitude toward menopause, and quality of life. Methods : We conducted a cross-sectional study in peri- and post-menopausal women enrolled by the Korean Association of Health Promotion. Subjects submitted self-report questionnaires about vasomotor symptoms and other clinical symptoms. Associations between vasomotor symptoms and clinical variables were analyzed using stepwise multiple regression analyses. Results : 1951 women completed self-report questionnaires and 1022 women were enrolled in the study. The prevalence of vasomotor symptoms in peri- and post-menopausal women was 63.9%. Variables showing significant differences between subjects with vasomotor symptoms and subjects without them were score of Beck Depression Inventory, Brief Encounter Psychosocial Instrument-Korean Version, proportions of clinically significant depression(Beck Depression Inventory ${\geq}16$), Menopausal rating scale, attitude towards menopause, the 4 subscales of World Health Organization Quality of Life-BREF(Physical health, psychological, social relationships, environment), and a History of Premenstrual syndrome/Premenstrual dysphoric disorder. Stepwise multiple regression analyses indicated that Beck Depression Inventory, Brief Encounter Psychosocial Instrument-Korean Version, Menopausal Rating Scale, and the Psychological subscale of World Health Organization Quality of Life -BREF show associations with vasomotor symptoms. Conclusions : Menopausal vasomotor symptoms are associated with various psychological factors, especially with depression. Midlife women suffering vasomotor symptoms should therefore be screened for depression. Future prospective studies where clinical subjects are diagnosed using structured interviews, focusing on the causal relationship between depression and vasomotor symptoms are necessary.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.1
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• pp.47-56
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• 2015

Objectives:The aim of this study is to investigate any differences between non-medical and medical college students for : 1) a level and the nature of perceived stress, 2) a level of life satisfaction, and 3) the related factors affecting to life satisfaction. Methods:We measured self-reported questionnaires of stress, satisfaction with life, health behavior including happiness, alcohol use, nicotine dependency and depressive symptoms in 1,714(863 non-medical and 851 medical) college students. Results:Non-medical college students had significantly higher total stress scores than medical college students(${\chi}^2$=7.66, p<.001). In non-medical college students, employment problem score was significantly higher than medical college students(t=4.07, p<.001). In medical college students, the scores of academic achievement (t=-3.81, p<.001), change of social life(t=-2.03, p<.05), death(t=-2.05, p<.05) or sickness(t=-2.60, p<.05) of friends were significantly higher than non-medical college students. And non-medical college students showed significantly lower life satisfaction scores than medical college students(${\chi}^2$=-19.05, p<.001). We also found that life satisfaction were significantly related to happiness in non-medical college students(${\beta}$=.410, $R^2$=.325, p<.001) and depressive symptoms in medical college students(${\beta}$=-.435, $R^2$=.326, p<.001) by stepwise multiple regression analysis. Conclusions:In this study, a level and the nature of perceived stress, a level of life satisfaction, and the related factors affecting to life satisfaction showed definitely differences between non-medical and medical college students. We suggest with our findings that specified mental health promotion program need for the college student's mental health management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.139-149
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• 2019

The purpose of this study is to contribute to the minimization of the social cost due to the insolvency by improving the success rate of the startups by providing useful information to the founders and the start-up support institutions through analysis of non-financial information affecting the failure of the startups. This study is aimed at entrepreneurs. The entrepreneurs that are defined by the credit guarantee institutions generally refer to entrepreneurs within 5 years of establishment. The data used in the study are sampled from the companies that were supported by the start-up guarantee from January 2014 to December 2013 as the end of December 2017. The total number of sampled firms is 2,826, 2,267 companies (80.2%), and 559 non-performing companies (19.8%). The non-financial information of the entrepreneur was divided into the entrepreneur characteristics information, the entrepreneur characteristics information, the entrepreneur asset information and the entrepreneur 's credit information, and cross-tabulations and logistic regression analysis were conducted. As a result of cross-tabulations, univariate analysis showed that personal credit rating, presence in the industry, presence of residential housing, presence of employees, and presence of financial statements were selected as significant variables. As a result of the logistic regression analysis, three variables such as personal credit rating, occupation in the industry, and presence of residential house were found to be important factors affecting the failure of founding companies. This result shows the importance of entrepreneur 's personal credibility and experience and entrepreneur' s assets in business management. The start-up support institutions should reflect these results in the entrepreneur 's credit evaluation system, and the entrepreneurs need training on the importance of the personal credit and the management plan in the entrepreneurial education. The results of this analysis will contribute to the minimization of the incapacity of startups by providing useful non-financial information to founders and start-up support organizations.

• Journal of the Korean Applied Science and Technology
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• v.35 no.4
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• pp.1120-1133
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• 2018

The purpose of this study is to validate the failure attribution factors affecting emotional changes after a failed service by local restaurant users, and the relapse effects of the perceived failure of a customer's brand relationship. In this study, the implications of this study can be divided into the null theory and the homogenous theory, in which the study of the relationship between individual belief that influences the null theory and the post-gender emotional response is minimal. The independence of the crash response (angerous VS compassion) has been equally validated as building a belief-gathering-emotion three-step model. First, emotional BRQ (intimate and love) has a reduction effect on controllable geeks, and behavioral BRQ (relative existence) has an extended effect on controllable geeks. From a management perspective, restaurant managers should be less aware of the repeatability of a customer's service failure and call for customer sympathy. Integratedly, restaurant managers must control the customer's perception of service failure and restore the impact of the customer's BRQ on emotional reactions. A variety of service recovery measures should be established and the cerumen should be controlled. In addition, since BRQs have different effects on anger and sympathy (extended VS), different service failure recovery plans should be presented depending on the characteristics of the customer BRQ. For example, measures such as monetary compensation or fair dealing, emotional distribution to close and loving customers, and persuasion of reciprocal benefits to interdependent customers should be developed according to circumstances. This study explored the effectiveness of the geeks after a service failure and has limitations that do not take into account the various regulatory factors in the BRQ-return-Empression process. Thus, in further studies, the effects of adjusting service failure strength should be considered and a more complete model should be built.

• Korean Journal of Heritage: History & Science
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• v.47 no.3
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• pp.188-207
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• 2014

Taking the concept of 'Invention of Tradition' by Hobsbawm, this paper examines the change of perspectives on the past and the attitudes toward connecting the past and the contemporary in the 19th century restoration of religious buildings in England. The Anglican society in the early 19th century argued that the catholic theology and rituals should be revived in their practice, which has formed the Oxford Movement. Such aspiration has stimulated to the society to execute its religious practice in a proper space, which has resulted in the Cambridge Camden Society in the middle of the century. Their publications on church buildings and arrangement had much affected to the restoration of many churches to rip off the previous Georgian furnitures and features of the fabric into Gothic, the style of middle age. The perspective on the past for anti-restoration movement in the late 19th century has moved into the one to respect all historical layers of previous spirit imprinted in the church buildings. Inspired by Ruskin and formulated by Morris, SPAB's Manifesto has reflected that the spirit of the first builder can not be reproduced or copied by the contemporaries, and therefore a daily maintenance is the best practice to extend the life of spirit rather than restoration. In addition the material remains is no longer belong to the religious entity but should be regarded as national heritage. By examining the change of perspectives on the past between the early and middle of 19th century and the late 19th century, this paper has argued that the various factors such as social, economic, political, art and commercial factors should be examined together in the understanding of conservation history.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.127-137
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• 2019

Recidivism prediction has been a subject of constant research by experts since the early 1970s. But it has become more important as committed crimes by recidivist steadily increase. Especially, in the 1990s, after the US and Canada adopted the 'Recidivism Risk Assessment Report' as a decisive criterion during trial and parole screening, research on recidivism prediction became more active. And in the same period, empirical studies on 'Recidivism Factors' were started even at Korea. Even though most recidivism prediction studies have so far focused on factors of recidivism or the accuracy of recidivism prediction, it is important to minimize the prediction misclassification cost, because recidivism prediction has an asymmetric error cost structure. In general, the cost of misrecognizing people who do not cause recidivism to cause recidivism is lower than the cost of incorrectly classifying people who would cause recidivism. Because the former increases only the additional monitoring costs, while the latter increases the amount of social, and economic costs. Therefore, in this paper, we propose an XGBoost(eXtream Gradient Boosting; XGB) based recidivism prediction model considering asymmetric error cost. In the first step of the model, XGB, being recognized as high performance ensemble method in the field of data mining, was applied. And the results of XGB were compared with various prediction models such as LOGIT(logistic regression analysis), DT(decision trees), ANN(artificial neural networks), and SVM(support vector machines). In the next step, the threshold is optimized to minimize the total misclassification cost, which is the weighted average of FNE(False Negative Error) and FPE(False Positive Error). To verify the usefulness of the model, the model was applied to a real recidivism prediction dataset. As a result, it was confirmed that the XGB model not only showed better prediction accuracy than other prediction models but also reduced the cost of misclassification most effectively.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.199-230
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• 2021

Innovative new products and services are being launched through the convergence between heterogeneous industries, and social interest and investment in convergence industries such as AI, big data-based future cars, and robots are continuously increasing. However, in the process of commercialization of convergence new products and services, there are many cases where they do not conform to the existing regulatory and legal system, which causes many difficulties in companies launching their products and services into the market. In response to these industrial changes, the current government is promoting the improvement of existing regulatory mechanisms applied to the relevant industry along with the expansion of investment in new industries. This study, in these convergence industry trends, aimed to analysis the existing regulatory system that is an obstacle to market entry of innovative new products and services in order to preemptively predict regulatory issues that will arise in emerging industries. In addition, it was intended to establish a regulatory impact analysis system to evaluate adequacy and prepare improvement measures. The flow of this study is divided into three parts. In the first part, previous studies on regulatory impact analysis and evaluation systems are investigated. This was used as basic data for the development direction of the regulatory impact framework, indicators and items. In the second regulatory impact analysis framework development part, indicators and items are developed based on the previously investigated data, and these are applied to each stage of the framework. In the last part, a case study was presented to solve the regulatory issues faced by actual companies by applying the developed regulatory impact analysis framework. The case study included the autonomous/electric vehicle industry and the Internet of Things (IoT) industry, because it is one of the emerging industries that the Korean government is most interested in recently, and is judged to be most relevant to the realization of an intelligent information society. Specifically, the regulatory impact analysis framework proposed in this study consists of a total of five steps. The first step is to identify the industrial size of the target products and services, related policies, and regulatory issues. In the second stage, regulatory issues are discovered through review of regulatory improvement items for each stage of commercialization (planning, production, commercialization). In the next step, factors related to regulatory compliance costs are derived and costs incurred for existing regulatory compliance are calculated. In the fourth stage, an alternative is prepared by gathering opinions of the relevant industry and experts in the field, and the necessity, validity, and adequacy of the alternative are reviewed. Finally, in the final stage, the adopted alternatives are formulated so that they can be applied to the legislation, and the alternatives are reviewed by legal experts. The implications of this study are summarized as follows. From a theoretical point of view, it is meaningful in that it clearly presents a series of procedures for regulatory impact analysis as a framework. Although previous studies mainly discussed the importance and necessity of regulatory impact analysis, this study presented a systematic framework in consideration of the various factors required for regulatory impact analysis suggested by prior studies. From a practical point of view, this study has significance in that it was applied to actual regulatory issues based on the regulatory impact analysis framework proposed above. The results of this study show that proposals related to regulatory issues were submitted to government departments and finally the current law was revised, suggesting that the framework proposed in this study can be an effective way to resolve regulatory issues. It is expected that the regulatory impact analysis framework proposed in this study will be a meaningful guideline for technology policy researchers and policy makers in the future.

• 한국노년학
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• v.36 no.3
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• pp.905-926
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• 2016

Although the concept of the elderly varies depending on scholars and laws, as consumption expenditure is deeply associated with income due to the nature of this study, 55 years old was set as the low limit standard for the elderly according to Prohibition of Discrimination on Age in Employment and Employment Promotion for the Aged Act and the elderly households were limited to single-elderly person household and an elderly couple family household for this study. It is considered consumption characteristics as a significant analysis subject in terms of social welfare because it could be understood as an expressed need which was a reflection of desire. Therefore, the present study aimed to investigate the consumption characteristics of the elderly households by stereotyping the consumption pattern of the elderly households, and find the determining factors for consumption patterns and thus contribute to the establishment of related policies through the expressed needs of the elderly households. K-means of cluster analysis was performed by putting the consumption expenditure of the elderly households to investigate inherent structural type of consumption pattern of the elderly households, which were the investigation subjects. As a result, four groups were stereotyped and named as below: 'health care-centered type', 'saving-centered type', 'livelihood-centered type', and 'food expenses-centered type' Binary Logistic Regression analysis was used to identify the factors that influence the decision of consumption pattern of the elderly households. The result of study showed that the elderly households faced all different needs and problems and thus there is a need for various approach plans to solve this situation. In particular, although the elderly have been viewed as economically poor people so far, the study showed that there were also kind of prepared households through saving. Overall, livelihoodcentered type accounted for the highest portion and, as a factor that influenced this, marital state and household income played an important role. Therefore, it is considered that more active efforts to increase the income of the elderly households are needed. In addition, age, owning of house and subjective health state were found to also have significant influence. Through these results of the study, the elderly's own improvement of awareness on health, presentation of overall standard for health state of the elderly, securement of the elderly's access to cultural life, and financial management coordination for improvement of quality of life, development and dissemination of jobs suitable for the elderly, and dissemination of communal life household, which is a cooperation residential type, were presented as institutional task in the conclusion.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.159-169
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• 2023

This study analyzed the factors affecting the opinions of life-sustaining treatment among the elderly in Korea. The study subjects were 10,097 people who responded to the survey on the condition of the elderly (2020), and using the SPSS 25.0 program, first, the demographic characteristics of the research subjects were identified through descriptive statistics and the average and normality of major variables were identified. Second, the chi-square was analyzed by conducting a cross-analysis of opinions on life-sustaining treatment according to the characteristics of the elderly. Third, a correlation analysis was performed to analyze the correlation between major variables. Fourth, the relative influence on the life-sustaining treatment of the elderly was identified through multiple regression analysis. The main research findings are as follows. First, 8,565 (84.8%) of the elderly were opposed to medical treatment (life-sustaining treatment) to save them even if they were unconscious or difficult to live. Second, as a result of cross-analysis on life-sustaining treatment for the elderly, the 𝑥² values of education level, health status, living together with children, and cost of living in old age were found to be significant. Third, the educational level of the elderly, living together with children, and the cost of living in old age were found to have statistically significant negative effects on life-sustaining treatment. Such research results indicate that the elderly with a high level of education oppose life-sustaining treatment compared to those with a low level of education. In addition, in the case of the elderly with traditional values who responded that one of their children should live with the elderly (parents), the ratio of people in favor of life-sustaining treatment was high, and in the case of the elderly with modern values who responded that they did not have to live together, the ratio of opposition to life-sustaining treatment was high. appeared to be high. In addition, in the case of the elderly with traditional values who responded that the burden of living expenses in old age should be shared between the state and society and their children, the proportion in favor of life-sustaining treatment was high. This high figure expressed the desire for well-dying. Based on these research results, the value system was re-examined as a factor influencing the elderly's opinion on life-sustaining treatment, and basic data for welfare policies for the elderly were provided.