• Korea Journal of Hospital Management
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• v.20 no.3
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• pp.36-44
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• 2015

The Activity Based Costing(ABC) means the process that makes clear how the actions and input resources have changed into service to calculate medical services costs. These days, the number of hospital which is using the ABC system is increasing to make their policy decision making efficient and run the hospitals more resonable. This study analyzes the unbalance in the level of health insurance service fee and the improvement plans based from 8 hospitals(ABC system) and 95 clinics(ABC survey). The cost recovery ratio has shown different levels according to each service type. A surgery service type recorded 76.8% and an evaluation & management service type is 84.6%, a treatment procedure type(85.8%), a function test type(91.6%) and health insurance fee even did not reach to the original cost. Meanwhile, a laboratory test type and imaging test type show high level of cost recovery ratio. they recorded 188.3% and 158.8%. Resultingly now of unbalance in the level of health insurance service fee accelerates supply of every test. so there is a need to make laboratory test type and imaging test type lower to keep balance with the surgery and medical service. These methods should be performed gradually with monitoring the unbalance fee ratio and for this, a panel medical institution have to be established for generalizations of studying result, fairness of selecting researching sample.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.17-26
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• 2017

Excessive use of the internet and smart phones have become a social issue. The level of engagement has both positive and negative effects such as good performance or indulgence phenomenon, respectively. This study was to develop an algorithm to determine the engagement state based on cardiovascular response. The participants were asked to play a pattern matching game and the experimental design was divided into cooperation and competition task to provide the level of engagement. The correlation between heart rate and amplitude was analyzed according to each task. The regression equation and accuracy were verified by polynomial regression analysis. The results showed that heart rate and amplitude were positively correlated when the task was a game, and negatively correlated when there was a reference task. The accuracy of classifying between game and reference task was 89%. The accuracy between tasks was confirmed to be 76.5%. This study is expected to be used to quantitatively evaluate the level of engagement in real time.

• The Journal of Korean Association of Computer Education
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• v.21 no.3
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• pp.21-33
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• 2018

The 2015 revised national curriculum emphasizes software education according to national and social needs for the development of computational thinking. Therefore, it is necessary to analyze meaningful factors influencing the development of computational thinking ability, as well as researches on various teaching, learning and evaluation methods. The purpose of this study is to analyze secondary school students' computational thinking ability in the Bebras challenge 2017 tasks and the participants' results of the challenge, and to figure out the differences according to factors such as evaluation area, gender, and region. The results of this study are meaningful to understand the factors for the development of computational thinking and to suggest directions for the improvement of Bebras challenge as a evaluation tool for computational thinking ability.

• Genomics & Informatics
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• v.19 no.1
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• Journal of the Health Care and Life Science
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• v.9 no.1
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• pp.203-211
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• 2021

In this study, we investigated whether the degree of anxiety, depression, stress, and ego resilience in the COVID-19 epidemic situation could affect the quality of life of college students and analyzed the correlation between them. In addition, the causal relationship and mediating effect on ego resilience, stress and quality of life were analyzed and necessary countermeasures were proposed. As a result of analyzing the correlation between each variable, it was found that anxiety, depression, stress, quality of life, and self-resilience all had significant correlations. In particular, stress was found to play a complete mediating role in the effect of ego resilience on quality of life. It is expected that this study will be used as a basis for research on the effect of stress and self-resilience on the improvement of quality of life in the Corona situation.

• Clinical Psychopharmacology and Neuroscience
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• v.16 no.4
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• pp.415-421
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• 2018

Objective: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairment in social skills and communication with repetitive behaviors. Etiology is still unclear although it is thought to develop with interaction of genes and environmental factors. Oxytocin has extensive effects on intrauterine brain development. Vitamin D, affects neural development and differentiation and contributes to the regulation of around 900 genes including oxytocin receptor gene. In the present study, the contribution of D vitamin receptor and oxytocin receptor gene polymorphisms in the development of ASD in Turkish community was investigated. To our knowledge, this is the first study examining these two associated genes together in the literature. Methods: Eighty-five patients diagnosed with ASD according to DSM-5 who were referred to outpatient clinics of Child and Adolescent Psychiatry of Başkent University and Mersin University and 52 healthy, age and gender-matched controls were included in the present study. Vitamin D receptor gene rs731236 (Taq1), rs2228570 (Fok1), rs1544410 (Bsm1), rs7975232 (Apa1) polymorphisms and oxytocin receptor gene rs1042778 and rs2268493 polymorphisms were investigated using real time polymerase chain reaction method. Results: No significant difference between groups in terms of distribution of genotype and alleles in each of polymorphisms for these genes could be found. Conclusion: Knowledge of genes and polymorphisms associated with the development of ASD may be beneficial for early diagnosis and future treatment. Further studies with larger populations are required to demonstrate molecular pathways which may play part in the development of ASD in Turkey.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.349-359
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• 2019

This study investigated the current state of Korean Maker Movement and explored the ways for activating Maker Movement in Korea. To do this purpose, we analyzed the data of 'A survey of the Korea Maker Movement in the second half of 2018', conducted by Korea Foundation for the Advancement of Science & Creativity involved 20's~50's Koreans. As a results, first, awareness, interest and behavior intention of Maker Movement was not high in Korea. Second, there were significant different between participants and non-participants of Maker Community in Maker awareness and Maker activities. Third, the positive relation between Maker Community participation and Maker Orientation is parallel multiple mediated by Maker activating motives such as fun, relieving stress, expressing own idea, saving cost, social recognition. Lastly, based upon the results, we presented several ways to activate Maker Movement in Korea.

• Korean journal of health promotion
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• v.18 no.4
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• pp.169-176
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• 2018

Background: The purpose of this study was to analyze the correlation between risk perception and attitudes and preventive behaviors among college students with poor health and safety consciousness. Methods: A survey was conducted in students at three universities in the metropolitan area from May 11 to 18, 2018. Four kinds of instruments were used for this study, questionnaires about attitudes, perception, prevention education and preventive behaviors. Results: The safety-related attitude depended on age: those aged <21 years had the best attitude. Education experience significantly affected perception. Preventive behaviors were more strongly and positively correlated with attitudes than with perception. The factor most significantly affecting preventive behaviors were attitudes to preventive health. Conclusions: To allow the students to change their awareness and behaviors related to sickness and accidents, first it is necessary to give education on a continuous basis so that they can obtain perception to cope with sickness and accidents; second, it is necessary to develop behavioral guidelines related to accidents in each area so that they can practice and make it a habit through attitudinal changes.

• Journal of Research and Publication Ethics
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• v.2 no.1
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• pp.19-24
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• 2021

Purpose: The purpose of this study is to check the direction of KODISA's pursuit of complex and convergence studies by confirming the research trends of KODISA's direct academic journals such as JDS, JIDB, JBEES and JAFEB. To this end, we tried to compare and confirm the research trends of the papers in four academic journals targeting keywords. Research Design, data and methodology: The analysis was conducted from 2014 to 2020 on 867 papers from JDS, 315 papers from JIDB, 120 papers from JBEES, and 867 papers based on the publication year of the most recently published journal from JAFEB. For the analysis, frequency analysis, word crowding, topic modeling, and frequency analysis by applying weights for each year group were performed on the keywords crawled using Python. Results: The results of frequency analysis showed that each journal is properly oriented toward its target direction. In addition, it was confirmed that the results of topic modeling significantly reflected the results of frequency analysis. Finally, it could be concluded that the results of frequency analysis using the weights of keywords by year group were also developing in the direction the target journals were analyzed. Specifically, in the case of JDS, 20 keywords such as Service Quality, Distribution were found to increase continuously according to the year group. Meanwhile, the keywords that continued to increase according to JIDB's year group were India, Social Capital, and Job Stress. The keywords that continued to increase according to the year group of JBEES were Micro Finance Institutions and Microfinance, and the keywords that of JAFEB were confirmed to be Vietnam and Service Quality. Conclusion: It was confirmed that KODISA's direct management journals responded appropriately to convergence issues. In particular, it was confirmed that researches in various fields of JDS are continuously increasing. However, it seems that JIDB needs to deal with various issues additionally in the service industry field and JBEES in the environment field. Finally, it was found that JAFEB needs to be wary of the relatively low level of interest in some countries such as Kazakhstan and India in recent years.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.265-277
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• 2021

With the development of technology, the concept of digital literacy is expanding from the focus of function and tool utilization to the extent of communication and participation in social and cultural contexts. In particular, learners' digital literacy capabilities are more important and necessary in remote learning environments such as Corona19. In this study, we studied how to improve digital literacy education through analysis and inspection of digital literacy shown in elementary school textbooks. To this end, we analyze it through compliance consisting of 8 fundamental pieces of knowledge, 20 sub technical skills, and 10 keys of competencies that constitute digital literacy. As a result of the study, the contents of digital literacy education in elementary school textbooks were presented centered on functions and tools, and as they were biased in certain areas, they were found to be lacking in systematicity and connectivity. Therefore, it proposed the composition of the curriculum system of digital literacy through the independence of elementary informatics curriculum, the specific composition of curriculum, and the strengthening of pre-service teachers' practical skills.