• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.173-185
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• 2019

Causal questions are prevalent in scientific research, for example, how effective a treatment was for preventing an infectious disease, how much a policy increased utility, or which advertisement would give the highest click rate for a given customer. Causal inference theory in statistics interprets those questions as inferring the effect of a given intervention (treatment or policy) in the data generating process. Causal inference has been used in medicine, public health, and economics; in addition, it has received recent attention as a tool for data-driven decision making processes. Many recent datasets are observational, rather than experimental, which makes the causal inference theory more complex. This review introduces key concepts and recent trends of statistical causal inference in observational studies. We first introduce the Neyman-Rubin's potential outcome framework to formularize from causal questions to average treatment effects as well as discuss popular methods to estimate treatment effects such as propensity score approaches and regression approaches. For recent trends, we briefly discuss (1) conditional (heterogeneous) treatment effects and machine learning-based approaches, (2) curse of dimensionality on the estimation of treatment effect and its remedies, and (3) Pearl's structural causal model to deal with more complex causal relationships and its connection to the Neyman-Rubin's potential outcome model.

• Industry Promotion Research
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• v.4 no.1
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• pp.45-55
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• 2019

The purpose of this study is to examine the effects of common competency, managerial competency, and job competency, which are perceived management consultants' competencies, on organizational performance and management characteristics of these managers. The hypothesis 2 shows that the influence of the management consultant capacity and the management performance on the Hypothesis 1 and the moderating effect of the hypothesis 2 management characteristics are as follows. First, common competence, management competence, and job competence, which are H1 management consultant capacities, have been shown to have a positive (+) influence on financial performance and non - financial performance. Second, the characteristics of manager in H2 were partially shown by the common competence between management consultant capacity and management performance. Therefore, in order to establish a corporate sustainability management system and implement it strategically, a consulting firm should select a consultant with excellent management consultant capability and execute management consulting. In addition, management consultants were required to have diverse learning, experience and management plans to improve their qualitative performance. Despite the fact that managerial characteristics represent partial regulatory roles, they actively play a central role in the survival and development of corporations, requiring active publicity so that the organizational characteristics of managers can be understood.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.1-11
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• 2019

The purpose of this study is to investigate the effects of stress, social support, and resilience on the university life as predictors of college life adjustment. For this purpose, the questionnaires were administered to 145 college students in Busan, and correlation analysis, multiple regression analysis, and mediation analysis were conducted using SPSS 18.0. The main results are as follows. First, the significant factors influencing college life adjustment were stress (B = -.351, p <.01), social support(B = -.210, p <.05) resilience (B = .355, p < .01), 30.6% explanatory power, and resilience was the most influential factor. Among the sub-factors of stress, interpersonal stress and academic stress has a negative effect. In addition, friendship support had a statistically significant effect on social support, and resilience subscale was life satisfaction and cause analysis ability. In addition, stress was found to be partly mediated in the relationship between social support and college life adjustment. Based on this study, the strategies for lowering the stress, improving the resilience of the university students in order to improve the college life adaptation were provided.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.297-304
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• 2021

This study aims not only to access the visual thought-oriented approach that has been implemented in established art therapy and education but also to integrate language education and therapeutic approach to support the development of school-age children. Thus, text mining technique was applied to search for areas where different areas of language and art can be integrated. This research was conducted in accordance with the procedure of basic research, preliminary DB construction, text screening, DB pre-processing and confirmation, stop-words removing, text mining analysis and the deduction about the convergent areas. These results demonstrated that this study draws convergence areas related to regional, communication, and learning functions, areas related to problem solving and sensory organs, areas related to art and intelligence, areas related to information and communication, areas related to home and disability, topics, conceptualization, peer-related areas, integration, reorganization, attitudes. In conclusion, this study is meaningful in that it established a framework for designing an activity-centered convergence program of art and language in the future and attempted a holistic approach to support child development.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.1-12
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• 2021

With the recent 4th Industrial Revolution, the growth and value of big data are continuously increasing, and the government is also actively making efforts to open and utilize public data. However, the situation still does not reach the level of demand for public data use by citizens, At this point, it is necessary to identify research trends in the public data field and seek directions for development. In this study, in order to understand the research trends related to public data, the analysis was performed using topic modeling, which is mainly used in text mining techniques. To this end, we collected papers containing keywords of 'Public data' among domestic and foreign research papers (1,437 domestically, 9,607 overseas) and performed topic modeling based on the LDA algorithm, and compared domestic and foreign public data research trends. After analysis, policy implications were presented. Looking at the time series by topic, research in the fields of 'personal information protection', 'public data management', and 'urban environment' has increased in Korea. Overseas, it was confirmed that research in the fields of 'urban policy', 'cell biology', 'deep learning', and 'cloud·security' is active.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.691-700
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• 2020

Purpose, Methoud: In this study, a survey was conducted on elementary school students in the region of Youngdong, Gangwon Province, to find out their awareness about their forest fire disaster experiences, the occurrence of forest fire, forest fire disaster education and coping behaviors for it. It's meant to provide some information on forest fire education based on the results of the survey. Four research questions were posed: 1. What is the awareness of elementary school students on their own forest fire disaster experiences? 2. What is their awareness on the occurrence of forest fire disaster? 3. What is their awareness on forest fire disaster education? 4. What is their awareness on coping behaviors for it? Result: The findings of the study were as follows: First, as for awareness on forest fire disaster experiences, 95.8 percent of the students that accounted for the majority knew about the meaning of forest fire. The students who knew about the meaning of disaster represented 80.8 percent. Second, as for awareness on the occurrence of forest fire, 35.8 percent thought forest fire broke out the most in summer. The students who had never seen forest fire in person accounted for 79.2 percent, which were the majority. Concerning the route of being aware of forest fire, the largest number of the students learned about it from TV, followed by families, friends, teachers, radio/schools and textbooks. Third, as for learning experiences on forest fire disaster, the students who had received this education accounted for 83.3 percent, which were the majority. This education was mostly provided by schools, and the second most common educational place was fire stations. Fourth, as for coping behaviors for the occurrence of forest fire, 80.5 percent replied they would dial the 119 emergency center, and the second most dominant answer was going up to the mountaintop, followed by quickly coming down to go home and having no idea. Conclusion: Through this study, It is judged that education on forest fire disasters and production of educational materials should be consistent and continuous education should be conducted.

• Journal of Music and Human Behavior
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• v.18 no.1
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• pp.1-27
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• 2021

The purpose of this study was to investigate how primary caregivers of children with developmental disabilities aged 6 to 18 years perceived on tele-music programs in which their children participated during COVID-19. A total of 83 caregivers who voluntarily agreed to participate in this study responded to a survey either on-line or in person and 67 questionnaires were included in the final analysis after deleting 16 incomplete responses. The results showed that tele-music programs were rated somewhat suitable for distance learning but that there was still a need for adult assistance to help children with developmental disabilities participate in the program. When comparing the perceptions of caregivers who participated in remote general education versus who participated in tele-music program, significantly higher level of program engagement and positive responses from a child were perceived with tele-music program. The caregivers who participated in tele-music program showed significantly greater willingness to participate in tele-music therapy in the future than those who did not. The findings of this study presents information on how tele-music therapy has been implemented to children with disabilities and what can be considered for the the development of a tele-music therapy program.

• Journal of Ginseng Research
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• v.45 no.4
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• pp.465-472
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• 2021

Background: Ginseng can help regulate brain excitability, promote learning and memory, and resist cerebral ischemia in the central nervous system. Ginsenosides are the major effective compounds of Ginseng, but their protein targets in the brain have not been determined. Methods: We screened proteins that interact with the main components of ginseng (ginsenosides) by affinity chromatography and identified the 14-3-3 ζ protein as a potential target of ginsenosides in brain tissues. Results: Biolayer interferometry (BLI) analysis showed that 20(S)-protopanaxadiol (PPD), a ginseng saponin metabolite, exhibited the highest direct interaction to the 14-3-3 ζ protein. Subsequently, BLI kinetics analysis and isothermal titration calorimetry (ITC) assay showed that PPD specifically bound to the 14-3-3 ζ protein. The cocrystal structure of the 14-3-3 ζ protein-PPD complex showed that the main interactions occurred between the residues R56, R127, and Y128 of the 14-3-3 ζ protein and a portion of PPD. Moreover, mutating any of the above residues resulted in a significant decrease of affinity between PPD and the 14-3-3 ζ protein. Conclusion: Our results indicate the 14-3-3 ζ protein is the target of PPD, a ginsenoside metabolite. Crystallographic and mutagenesis studies suggest a direct interaction between PPD and the 14-3-3 ζ protein. This finding can help in the development of small-molecular compounds that bind to the 14-3-3 ζ protein on the basis of the structure of dammarane-type triterpenoid.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.55-64
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• 2021

Public libraries are a space where residents learn a wide range of knowledge and ideologies, and as they are directly connected to life, various related studies have been conducted. In most previous studies, variables such as population, traffic accessibility, and environment were found to be highly relevant to library use. In this study, it can be said that the difference from previous studies is that the book borrow demand and relevance were analyzed by reflecting the variables of cultural characteristics based on the book borrow history (1,820,407 cases) and member information (297,222 persons). As a result of the analysis, it was analyzed that as the increase in borrows for social science and literature books compared to technical science books, the demand for book borrows increased. In addition, various descriptive statistical analyzes were used to analyze the characteristics of library book borrow demand, and policy implications and limitations of the study were also presented based on the analysis results. and considering that cultural characteristics change depending on the location and time of day, it is believed that related research should be continued in the future.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.561-568
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• 2020

Wave measurements using X-band radar have many advantages compared to other wave gauges including wave-rider buoy, P-u-v gauge and Acoustic Doppler Current Profiler (ADCP), etc.. For example, radar system has no risk of loss/damage in bad weather conditions, low maintenance cost, and provides spatial distribution of waves from deep to shallow water. This paper presents new methods for estimating significant wave heights of X-band marine radar images using Artificial Neural Network (ANN). We compared the time series of estimated significant wave heights (Hs) using various estimation methods, such as signal-to-noise ratio (${\sqrt{SNR}}$), both and ${\sqrt{SNR}}$ the peak period (TP), and ANN with 3 parameters (${\sqrt{SNR}}$, TP, and Rval > k). The estimated significant wave heights of the X-band images were compared with wave measurement using ADCP(AWC: Acoustic Wave and Current Profiler) at Hujeong Beach, Uljin, Korea. Estimation of Hs using ANN with 3 parameters (${\sqrt{SNR}}$, TP, and Rval > k) yields best result.