• Journal of Biomedical Engineering Research
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• v.42 no.6
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• pp.277-286
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• 2021

The global market size of AI based SaMD for medical image in 2023 will be anticipated to reach around 620 billion won (518 million dollars). In order for Korean manufacturers to efficiently obtain CE marking for marketing in the EU countries, the paper is to introduce the recommendation and suggestion of how to reclassify SaMD based on classification rules of MDR because, after introducing the Regulation EU 2017/745, classification rules are quite modified and newly added compared to the Directive 93/42/EEC. In addition, the paper is to provide several rules of MDR that may be applicable to decide the classification of SaMD. Lastly, the paper is to examine and demonstrate various secondary data supported by qualitative data because the paper focuses on the suggestion and recommendation with a public trust on the basis of various secondary data conducted by the analysis of field data. In conclusion, the paper found that the previous classification of SaMD followed by the rule of MDD should be reclassified based on the Regulation EU 2017/745. Therefore, the suggestion and recommendation are useful for Korean manufacturers to comprehend the classification of SaMD for marketing in the EU countries.

• Korean Journal of Child Studies
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• v.35 no.2
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• pp.117-136
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• 2014

This study examined the effects of maternal grandmothers' positive parenting behavior, mothers' emotion regulation, and positive parenting behavior on children's emotion regulation. A total of 348 mothers of fourth and fifth graders responded to questionnaires, which included items related to their mothers' positive parenting behavior, their own emotion regulation and positive parenting behavior, and their children's emotion regulation. The data were analyzed by means of correlations and Structural Equation Modeling (SEM). First, maternal grandmothers' positive parenting behavior significantly affected mothers' emotion regulation, but mothers' emotion regulation did not directly affect their children's emotion regulation. Second, maternal grandmothers' positive parenting behavior had an effect on mothers' positive parenting behavior, which led to a high level of their children's emotion regulation. Lastly, maternal grandmothers' positive parenting behavior indirectly influenced children's emotion regulation through mothers' emotion regulation and positive parenting behavior. This study emphasizes the intergenerational transmission of positive parenting, as well as a crucial influence of mothers' positive parenting behavior on children's emotion regulation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.287-304
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• 2020

There have been a number of legal & policy studies on the affecting factors of big data utilization, but empirical research on the composition factors of personal information regulation or data combination, which acts as a constraint, has been hardly done due to the lack of relevant statistics. Therefore, this study empirically explores the priority of personal information regulation factors and data combination factors that influence big data utilization through Delphi Analysis. As a result of Delphi analysis, personal information regulation factors include in order of the introduction of pseudonymous information, evidence clarity of personal information de-identification, clarity of data combination regulation, clarity of personal information definition, ease of personal information consent, integration of personal information supervisory authority, consistency among personal information protection acts, adequacy punishment intensity in case of violation of law, and proper penalty level when comparing EU GDPR. Next, data combination factors were examined in order of de-identification of data combination, standardization of combined data, responsibility of data combination, type of data combination institute, data combination experience, and technical value of data combination. These findings provide implications for which policy tasks should be prioritized when designing personal information regulations and data combination policies to utilize big data.

• Journal of Environmental Science International
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• v.3 no.4
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• pp.445-450
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• 1994

The environmental regulation violation of the Korean firms is causing severe environmental pollution lately. Nevertheless, there are few studies on the firm's pattern of environmental regulation violation. In this paper, for the pattern of environmental regulation violation of the Korean firms, we give a type of statistical data analysis using the correspondence analysis. Therefore, with more effective control and inspection based on this, we have an effective and enforceable system decreasing the violative firms.

• Molecules and Cells
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• v.24 no.3
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• pp.307-315
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• 2007

Gene regulation is a fundamental process in biological systems, where transcription factors (TFs) play crucial roles. Inferring transcriptional interactions between TFs and their target genes has utmost importance for understanding the complex regulatory mechanisms in cellular systems. On one hand, with the rapid progress of various high-throughput experiment techniques, more and more biological data become available, which makes it possible to quantitatively study gene regulation in a systematic manner. On the other hand, transcription regulation is a complex biological process mediated by many events such as post-translational modifications, degradation, and competitive binding of multiple TFs. In this review, with a particular emphasis on computational methods, we report the recent advances of the research topics related to transcriptional regulatory networks, including how to infer transcriptional interactions, reveal combinatorial regulation mechanisms, and reconstruct TF activity profiles.

• Journal of the Korean Home Economics Association
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• v.47 no.6
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• pp.51-66
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• 2009

The purpose of this study was to develop a model for preschool children's self regulation by examining the effects of maternal parenting variables on preschool children's self regulation. The subjects were 1219 mothers of 4- to 6-year-old preschool children attending kindergarten or child care centers located in Seoul and Kyunggi Province, Korea. For data analysis, exploratory factor analysis(EFA) and confirmatory factor analysis(CFA) were applied to the survey data in the first phase and structural equation modeling(SEM) analysis in the second phase. The major results of this study were as follows: maternal parenting stress and maternal behavior were the most direct influential variables on preschool children's self-regulation. Moreover, maternal parenting efficacy was indirectly mediated through maternal behavior.

• Proceedings of the KIEE Conference
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• 2006.11a
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• pp.170-173
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• 2006

2006년 9월 1일에 제정된 독립사업부제는 각 단위별로 자율적인 운영권을 가지면서 비용 등에 대해서도 스스로 책임지도록 하는 제도이다. 배전계통의 사업구역 분할로 시작된 배전 사업부제는 독립 재무제표를 통해 경영실적이 드러나기 때문에 경영혁신과 원가절감 경쟁을 유도할 수 있다는 게 특징이다. 이런 체제의 변화는 기업의 규제 시스템에도 새로운 변화가 필요하게 될 것이다. 하지만 서로 다른 규모와 환경을 가진 사업부들을 하나의 기준으로 평가하는 것은 어려운 일이다. 그래서 본 논문에서는 배전 사업부제로 인해 나눠진 사업부들의 경제성과 상대적인 가치를 평가할 수 있는 방법 중의 하나로 세계적으로 널리 쓰이고 있는 Data Envelopment Analysis를 제안한다. 그 결과를 통해서 사업부에 대한 경영 평가나 각 사업부가 더 높은 경제성을 갖출 수 있는 RPI-X regulation을 수행하는데 하나의 모델로서 사용될 수 있을 것이다. RPI-X regulation에서 X값을 결정하는 것은 비용 경쟁력을 향상시키는 비율을 나타내기 때문에 적절한 X값을 찾는 것이 가장 중요하다고 하겠다. 이 때 여러 개의 입력과 여러 개의 출력을 가지는 문제에 대해서 쉽게 결과를 나타낼 수 있는 Data Envelopment Analysis를 X를 결정하는 방법으로 사용하였다. 그리고 사업부들의 노동력과 선로긍장과 용량 등의 값을 입력으로 하고 고객호수와 판매량을 결과로 하여 RPI-X regulation의 적절한 X값을 찾는 예를 통하여 이 방법이 실제적으로 어떤 효과가 있는지 확인해보았다. 본 논문에서는 분화된 사업부들에 대하여 Data Envelopment Analysis 기법을 이용하여 RPI-X regulation을 수행하였고 결과적으로 본 논문에서 제안한 방법을 통하여 분화된 배전 시스템에도 적용할 수 있는 가능성을 보였다.

• Korean Journal of Child Studies
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• v.38 no.1
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• pp.17-31
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• 2017

Objective: The purpose of this research was to examine the effects of parents' childhood attachment representations and parenting behavior in developing early childhood self-regulation, a developmental skill. Methods: This research was conducted with 171 preschoolers, 171 parent couples, and 22 teachers of 5-year-old classes in kindergartens and children's houses in Seoul. Results: First, there was significant correlation among parental childhood attachment representations, parenting behavior, and child self-regulation. Second, parental attachment representations and parenting behavior were shown to affect self-monitoring, a subvariable of self-regulation, and were influenced by maternal independence-oriented parenting behavior, maternal attachment representation, and parental attachment representation. As factors affecting self-control, a subvariable of self-regulation, they were influenced by maternal attachment representation, and maternal and paternal affectionate parenting behavior. Lastly, as factors affecting self-control, they were influenced by attachment representation to parents of origin, maternal affectionate parenting behavior, and maternal independence-oriented parenting behavior. Conclusion: This research revealed that parental childhood attachment representations and parenting behavior are important variables affecting the development of self-regulation in preschoolers. This finding can be used as basic data for parent education content to help preschoolers grow healthier and happier and as basic data for a program to improve parent-child attachment.

• Korean Journal of Child Studies
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• v.37 no.4
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• pp.117-128
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• 2016

Objective: The purpose of this study was to explore the structural relationships of child negative emotionality, mother rejective parenting, teacher-child conflict, and child emotion regulation on child aggression. Methods: The participants in this study were 3- to 5-year-old kindergarten children, their mothers, and their teachers (all of whom lived in Busan). The data were analyzed using PASW Statistics 18.0 and AMOS 21.0. For data analysis, frequency, Cronbach's alphas, Pearson's correlation coefficients, SEM were used. Results: First, mother rejective parenting had an indirect effect on child aggression through child emotion regulation. Second, teacher-child conflict had a direct effect on child aggression and had an indirect effect on child aggression through child emotion regulation. Third, child negative emotionality had an indirect effect on child aggression through mother rejective parenting and teacher-child conflict and child emotion regulation. Conclusion: These finding suggest the importance of mediating effect of mother rejective parenting, teacher-child conflict and child emotion regulation between child negative emotionality and aggression.

• Korean Journal of Child Studies
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• v.37 no.2
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• pp.57-77
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• 2016

Objective: This study examined the influences of general characteristics, temperament, social support, and emotional regulation on the positive psychological capital of adolescents. The data were collected from 672 middle school students living in Gwangju. Methods: Data were analyzed using Pearson correlation analyses and hierarchical regression analyses. Results: Temperament best explained positive psychological capital. In terms of individual factors, self-emotion regulation had the greatest effect on positive psychological capital, followed by friend support, persistence temperament, others emotion regulation, academic achievement, harm avoidance temperament, gender, and family support, in that order. Conclusion: The results for the effects of temperament, social support and emotion regulation on adolescent's positive psychological capital highlights the important roles played by the temperament, social support, and emotion regulation in improving an adolescent's positive psychological capital. The study contributes to the literature by proving fundamental insights into an adolescent's psychological strengths and higher quality of life.