• Women's Health Nursing
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• v.20 no.1
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• pp.14-28
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• 2014

Purpose: This study was to identify relationships of maternal psychosocial factors including mother's mood state, childcare stress, social support and sleep satisfaction with breastfeeding adaptation and immune substances in breast milk, especially secretory immunoglobulin A (sIgA) and transforming growth factor-beta 2 (TGF-${\beta}2$). Methods: Data were collected from 84 mothers who delivered full-term infants by natural childbirth. Structured questionnaires and breast milk were collected at 2~4 days and 6 weeks postpartum. Data were analyzed using descriptive statistics, Pearson's correlation, multiple linear regression, and generalized estimating equation (GEE). Results: Scores for the breastfeeding adaptation scale were significantly related with child care stress, mood state and social support. Mother's anger was positively correlated with the level of sIgA in colostrum (p<.01). Immune substances of breastmilk was significantly influenced by time for milk collection (p<.001) and the type of breastfeeding (sIgA, p<.001, TGF-${\beta}2$, p=.003). Regression analysis showed that breastfeeding adaptation could be explained 59.1% by the type of breastfeeding, childcare stress, the Profile of Mood States, emotional support and sleep quality (F=16.67, p<.001). Conclusion: The findings from this study provide important concepts of breastfeeding adaptation program and explanation of psychosocial factors by immune substances in breast milk. Future research, specially, bio-maker research on breast milk should focus on the ways to improve breastfeeding adaptation.

• Journal of agriculture & life science
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• v.45 no.4
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• pp.29-35
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• 2011

A forest fire was one of the huge disasters and damaged human lifes and a properties. Therefore, many countries operated forest fire forecasting systems which developed from forest fire records, weather data, fuel models and etc. And many countries also estimated future state of forest fire using a long-term climate forecasting like GCMs and prepared resources for future huge disasters. In this study, we analyzed relationships between forest fire occurrence and meteorological factors (the minimum temperature ($^{\circ}C$), the relative humidity (%), the precipitation (mm), the duration of sunshine (hour) and etc.) for developing a estimating tools, which could forecast forest fire regime under future climate change condition. Results showed that forest fires in this area were mainly occurred when the maximum temperature was $10{\sim}200^{\circ}C$, when the relative humidity was 40~60%, and when the average wind speed was under 2m/s. And forest fires mainly occurred at 2~3 day after rainfall.

• Journal of IKEEE
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• v.25 no.3
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• pp.540-543
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• 2021

In this paper, we present an experimental comparative study of recurrent neural network based techniques for trajectory prediction of flight vehicles. We defined and investigated various relationships between input and output under the same experimental setup. In particular, we proposed a relationship based on the relative positions of flight vehicles. Furthermore, we conducted an ablation study on the network architectures and hyperparameters. We believe that this comprehensive comparative study serves as a reference point and guide for developers in choosing an appropriate recurrent neural network based techniques for building (flight) vehicle trajectory prediction systems.

• Korean Journal of Ophthalmology
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• v.32 no.6
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• pp.459-469
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• 2018

Purpose: To evaluate changes in the peripapillary retinal nerve fiber layer (RNFL) thicknesses using spectral-domain optical coherence tomography (SD-OCT) in hydroxychloroquine (HCQ) users. Methods: The medical records of HCQ users were retrospectively reviewed. In these HCQ users, an automated perimetry, fundus autofluorescence photography, and SD-OCT with peripapillary RNFL thickness measurements were performed. The peripapillary RNFL thicknesses were compared between the HCQ users and the control groups. The relationships between the RNFL thicknesses and the duration or cumulative dosage of HCQ use were analyzed. Results: This study included 77 HCQ users and 20 normal controls. The mean duration of HCQ usage was $63.6{\pm}38.4$ months, and the cumulative dose of HCQ was $528.1{\pm}3.44g$. Six patients developed HCQ retinopathy. Global and six sectoral RNFL thicknesses of the HCQ users did not significantly decrease compared to those of the normal controls. No significant correlation was found between the RNFL thickness and the duration of use or cumulative dose. The eyes of those with HCQ retinopathy had temporal peripapillary RNFL thicknesses significantly greater than that of normal controls. Conclusions: The peripapillary RNFL thicknesses did not change in the HCQ users and did not correlate with the duration of HCQ use or cumulative doses of HCQ. RNFL thickness is not a useful biomarker for the early detection of HCQ retinal toxicity.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.74-86
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• 2019

As many existing research fields are matured academically, researchers have encountered numbers of academic, social and other problems that cannot be addressed by internal knowledge and methodologies of existing disciplines. Earlier, pioneers of researchers thus are following a new paradigm that breaks the boundaries between the prior disciplines, fuses them and seeks new approaches. Moreover, developed countries including Korea are actively supporting and fostering the convergence research at the national level. Nevertheless, there is insufficient research to analyze convergence trends in national R&D support projects and what kind of content the projects mainly deal with. This study, therefore, collected and preprocessed the research proposal data of National Research Foundation of Korea, transforming the proposal documents to term-frequency matrices. Based on the matrices, this study derived detailed research topics through Latent Dirichlet Allocation, a kind of topic modeling algorithm. Next, this study identified the research topics each proposal mainly deals with, visualized the convergence relationships, and quantitatively analyze them. Specifically, this study analyzed the centralities of the detailed research topics to derive clues about the convergence of the near future, in addition to visualizing the convergence relationship and analyzing time-varying number of research proposals per each topic. The results of this study can provide specific insights on the research direction to researchers and monitor domestic convergence R&D trends by year.

• Smart Structures and Systems
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• v.24 no.2
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• pp.243-256
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• 2019

Determination of the most meaningful structural modes and gaining insight into how these modes evolve are important issues for long-term structural health monitoring of the long-span bridges. To address this issue, modal parameters identified throughout the life of the bridge need to be compared and linked with each other, which is the process of mode tracking. The modal frequencies for a long-span bridge are typically closely-spaced, sensitive to the environment (e.g., temperature, wind, traffic, etc.), which makes the automated tracking of modal parameters a difficult process, often requiring human intervention. Machine learning methods are well-suited for uncovering complex underlying relationships between processes and thus have the potential to realize accurate and automated modal tracking. In this study, Gaussian mixture model (GMM), a popular unsupervised machine learning method, is employed to automatically determine and update baseline modal properties from the identified unlabeled modal parameters. On this foundation, a new mode tracking method is proposed for automated mode tracking for long-span bridges. Firstly, a numerical example for a three-degree-of-freedom system is employed to validate the feasibility of using GMM to automatically determine the baseline modal properties. Subsequently, the field monitoring data of a long-span bridge are utilized to illustrate the practical usage of GMM for automated determination of the baseline list. Finally, the continuously monitoring bridge acceleration data during strong typhoon events are employed to validate the reliability of proposed method in tracking the changing modal parameters. Results show that the proposed method can automatically track the modal parameters in disastrous scenarios and provide valuable references for condition assessment of the bridge structure.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.143-151
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• 2019

Grit, defined as "perseverance and passion for long-term goals", is a known personality trait that successfully predicts high performance in various fields. In spite of extant evidence of the effectiveness of grit, research has not yet clarified the relationship between grit and conscientiousness, a highly correlated personality trait. In this study(N = 355), we examined the effect of grit and conscientiousness on academic achievement, mediated by self-determination motivation. As a result, grit and conscientiousness both predicted academic performance, and intrinsic motivation mediated these relationships. However, conscientiousness no longer related with motivation and academic achievement when grit was controlled for, whereas grit maintained its relationship with motivation and achievement even when conscientiousness was controlled. This result indicates that although the two psychological concepts overlap to some extent, grit has a unique motivational and behavioral effect that distinguishes it from conscientiousness. The present study expands the current understanding of grit with its comparison between grit and conscientiousness. We suggest future research ought refine the grit scale to establish its discriminant validity.

• Journal of Industrial Convergence
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• v.19 no.5
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• pp.13-19
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• 2021

In this study, the relationship between R&D investment and firm value was approached from ESG's G(governance) perspective to verify the moderating effect of the corporate governance and ownership structure. To this end, a panel analysis was conducted on a total of 2,825 samples of 405 manufacturing companies listed on the KOSPI market during 2013~2020. The main analysis results are as follows. First of all, we found that R&D investment has a negative impact on firm value, at least in the short term, and that these relationships are moderated by corporate governance and ownership structure. When professional CEO with high level of expertise in business and management does lead R&D investment, the negative impact of R&D investment on firm value is mitigated compared to owner-manager. Also, the stronger the power of outside blockholders, the more transparent the management and disclosure of information, alleviating the information asymmetry between internal and external shareholders, which mitigates the negative impact of R&D investment on firm value. The findings suggest that the factors of ESG may not only have a direct impact on firm value, but also have a moderating effect on firm value.

• Journal of Radiation Protection and Research
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• v.46 no.3
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• pp.143-150
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• 2021

Since its establishment in 2018, the Young Generation Network (YGN) has been dedicated, with support of the International Radiation Protection Association (IRPA), to a variety of activities to promote communication, collaboration and professional development of students and young professionals in the area of radiation protection and its allied fields. This article reports our recent activities from the middle of 2018 to the beginning of 2021, with highlights on some important events: "Joint JHPS-SRP-KARP Workshop of Young Generation Network" (December 2019 in Japan); contribution to "Nuclear Energy Agency Workshop on Optimization: Rethinking the Art of Reasonable" (January 2020 in Portugal); survey on the impact of coronavirus disease 2019 (COVID-19) on radiation protection among IRPA YGN members (March 2020); and contribution to IRPA15 (15^th International Congress of the IRPA; January-February 2021, online). The discussion and insight obtained from each activity are also summarized. The IRPA YGN will aim to achieve its on-going activities and continue to follow the ways paved in the Strategic Agenda and despite the challenges raised by the COVID-19 pandemic. Namely, running an international survey (for example, on the usage of social media in radiation protection, and on the long-term consequences of the COVID-19 pandemic), engaging national YGNs, extending the network, finding new relationships with networks with an interest in the young generation and participation in (remote) events will be aspired for.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.2
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• pp.119-127
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• 2021

Objectives: We aimed to find the relationships between employment status and hs-CRP level among Korean wage workers using the 2016 Korean National Health and Nutrition Examination (KNHANE, revised). Methods: This study was conducted on 1,937 daytime wage workers over the age of 19 and within a normal weight range (18.5≤BMI≺25). Regular workers were defined as those granted an employment guarantee until reaching retirement age, and non-regular workers were defined as temporary, non-typical, dispatched, short-term workers and contractors. For hs-CRP, three divisions were classified as recommended by the Centers for Disease Control and Prevention (CDC) and American Heart Association (AHA) with less than 1.0 mg/L indicating low risk of cardiovascular disease, above 1.0 mg/L and below 3.0 mg/L considered moderate risk, and more than 3.0 mg/L indicating high risk. To find the relationship between work type and hs-CRP level in Korean wage workers, multinominal logistic regression analysis was performed. Results: For non-regular workers, the odds ratio of the cardiovascular moderate-risk group and cardiovascular high-risk group was statistically significant compared to regular workers. After adjusting for factors such as gender, age, subjective health status, income, education, smoking, and physical labor, the odds ratio of the cardiovascular high-risk group was statistically significant. Conclusions: In this study, the relationship between non-regular workers and high hs-CRP level was examined. Based on this, institutional strategies should be pursued to prevent and manage cardiovascular disease among non-regular workers.