• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.605-612
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• 2021

Amid growing global damage due to abnormal weather caused by global warming, the introduction of eco-friendly cars is accelerating to reduce greenhouse gas emissions from internal combustion engines. Accordingly, many studies are being conducted in each country to prepare for the explosion of hydrogen fuel in semi-closed spaces such as tunnels and underground parking lots to ensure the safety of hydrogen-electric vehicles. As a result of predicting the explosion pressure of the hydrogen tank using the equivalent TNT model, it was found to be about 1.12 times and 2.30 times higher at a height of 1.5 meters, respectively, based on the case of 52 liters of hydrogen capacity. A review of the impact on the human body and buildings by converting the predicted maximum explosive pressure into the amount of impact predicted that all predicted values would result in lung damage or severe partial destruction. The predicted degree of damage was applied only by converting the amount of impact caused by the explosion, and considering the additional damage caused by the explosion, it is believed that the actual damage will increase further and safety and disaster prevention measures should be taken.

• Journal of Korean Medicine Rehabilitation
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• v.32 no.4
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• pp.1-8
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• 2022

Objectives This study is to investigate the effects and mechanisms of Gastrodia elata extract (GEE) on the high-fat diet-induced obesity model. Methods C57BL/6 mice were randomly assigned into 5 groups (n=10). Control group was fed normal diet (ND). Obesity group was fed 60% high fat diet (HFD). The other three groups were fed HFD with 100, 200, 500 mg/kg GEE. After five weeks, body weight, liver and epididymal fat weight, triglyceride concentration in liver and serum, sterol regulatory element-binding protein-1 (SREBP-1), acetyl-CoA carboxylase (ACC), fatty acid synthase, peroxisome proliferator-activated receptor 𝛾 (PPAR-𝛾), CCAAT/enhancer binding protein 𝛼 (C/EBP-𝛼) expression level, insulin concentration in serum were measured. Results The GEE (100, 200, and 500 mg/kg)-treated animals exhibited substantial decreases in body mass, liver weight and epididymal white adipose tissue collate to the HFD-fed group. GEE treatment also reduced hepatic and serum triglyceride level. Furthermore, GEE treatment significantly inhibited adipogenesis in the GEE group by reducing the protein expression of SREBP-1, ACC and the messenger RNA expression of PPAR𝛾, C/EBP-𝛼, which are adipocyte differentiation-related genes. Conclusions These research outcomes recommend that GEE is possibly valuable for the prevention of HFD-induced obesity via modification of various pathways related with adipogenesis and adipocyte differentiation.

• The Korea Journal of Herbology
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• v.38 no.5
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• pp.9-19
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• 2023

Objectives : Osteoporosis is a systemic skeletal disorder characterized by reduced bone mineral density and increased risk of fractures. Bisphosphonates and selective estrogen receptors, which are bone resorption inhibitors that are currently widely used as osteoporosis treatments, show serious side effects when administered for a long time. Research on bone resorption inhibitors that complement the problems of existing treatments is needed. The purpose of this study was to investigate the effect of inhibiting osteoclast differentiation and activity on the tuberous root of Ampelopsis japonica (Thunb.) Makino (AM). Methods : After extracting AM using distilled water and ethanol, the inhibitory effects of the two solvents on osteoclast differentiation were compared using the RANKL-induced in vitro experimental model and the TRAP assay kit. The impact of AM on bone resorption was investigated through the pit formation assay, and its effect on F-actin formation was assessed through fluorescent staining. Additionally, protein and mRNA expression levels of osteoclast differentiation markers (NFATc1, c-Fos, TRAP and ATP6v0d2) and resorption markers (MMP-9, CTK, and CA2) were analyzed via western blot and RT-PCR. Results : AM treatment significantly decreased the number of TRAP-positive cells and pit formation area. Furthermore, AM suppressed both the protein and mRNA expression of NFATc1 and c-Fos, key transcription factors involved in osteoclast differentiation and it downregulated the expression of osteoclast-associated genes such as TRAP, CTK, MMP-9, CA2, and ATP6v0d2. Conclusions : These results suggest that AM can inhibit bone resorption and osteoclast differentiation, indicating its potential for use in the treatment and prevention of osteoporosis.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.685-690
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• 2023

It was analyzed that the volume of deep excavation works adjacent to existing underground structures is increasing according to the population growth and density of cities. Currently, many underground structures and tracks are damaged by external factors, and the cause is analyzed based on the measurement results in the tunnel, and measurements are being made for post-processing, not for prevention. The purpose of this study is to analyze the effect on the deformation of the structure due to the excavation work adjacent to the urban railway track in use. In addition, the safety of structures is evaluated through machine learning techniques for displacement of structures before damage and destruction of underground structures and tracks due to external factors. As a result of the analysis, it was analyzed that the model suitable for predicting the structure management standard value time in the analyzed dataset was a polynomial regression machine. Since it may be limited to the data applied in this study, future research is needed to increase the diversity of structural conditions and the amount of data.

• Korean Journal of Food Science and Technology
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• v.54 no.1
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• pp.28-34
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• 2022

Glioblastoma is the most common primary malignant brain tumor and has an extremely poor prognosis. Glioblastoma stem cells (GSCs) contribute to tumor initiation, recurrence, and resistance to therapy, and are thus a key therapeutic target. The peel of Citrus unshiu Markovich has been used in traditional medicine in East Asia to treat various diseases. In this study, we investigated the anticancer activity and molecular mechanism of the chloroform extract of this natural product (CECU) in U87MG GSCs. The results show that CECU inhibited the proliferation, tumorsphere formation, and migration of U87MG GSCs by causing cell cycle arrest at the G0/G1 phase and apoptosis. In addition, CECU downregulated key cancer stemness regulators, including CD133, Oct4, Nanog, integrin α6, ALDH1A1, and STAT3 signaling in U87MG GSCs. Furthermore, CECU significantly suppressed in vivo tumor growth of U87MG GSCs in a chorioallantoic membrane model. Therefore, CECU can be utilized as a natural medicine for the prevention and treatment of glioblastoma.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.389-390
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• 2022

Recently, Recently, the increase in international trade volume and the explosive increase in cargo volume due to the non-face-to-face society are leading to an increase in risk exposure and safety accidents in the port industry. In addition, as the Serious Disaster Punishment Act came into effect on January 27, 2021, various guidelines and laws to protect safety and life in port terminals are being enacted. However, despite these efforts, medium-to-large safety accidents in the port terminal industry continue to occur. According to the Korea Occupational Safety and Health Agency, from 2016 to 2019, the number of casualties in the port handling industry increased by 4.2%. For effective follow-up management of port accidents or the preparation of related safety laws/systems, a risk analysis in consideration of the cause and damage of the accident must be conducted first, so that realistic accident reduction and prevention measures can be established. Therefore, in this study, major risk factors and preventive measures were derived by conducting risk assessment based on 1,039 cases of port terminal accidents collected by the Korea Occupational Safety and Health Agency for 5 years from 2016 to 2022. After that, the priorities for preventive measures were determined through IPA analysis, Borich needs analysis, and The Locus For Focus analysis.

• Asia Marketing Journal
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• v.10 no.4
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• pp.1-33
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• 2009

This research investigates the effect of brand-self identification on brand attachment and brand commitment focusing on luxury brand. Another purpose of this study is to examine how the relationships among brand identification, brand attachment and brand committment are moderated by consumers' regulatory focus. Structural Equation Modeling using 214 questionnaires was conducted to test hypothesized model. The results reveal that perceived luxury brand personality including excitement, competence, and sophistication influences brand-self identification positively, which in turn has a signifiant positive effect on the brand attachment. It is also found that consumers' emotional attachment to luxury brands has a positive influence on the luxury brand commitment while the effect of the brand-self identification on the brand commitment is not signifiant. This finding strongly supports that brand attachment and brand commitment are distinct construct, which confirms the results of the previous studies. In addition, the results show that consumers-luxury brands relationships are moderated by consumers' regulatory focus. This finding explains that prevention-focused individuals who have interdependent self-view respond to the loss caused by relationship break more sensitively compared to the promotion-focused consumers. Finally, based on the findings of this study, theoretical contribution and managerial implications are discussed.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.449-457
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• 2023

The purpose of this descriptive research study was to investigate health beliefs and self-efficacy in respiratory infection management as factors that affect the respiratory infection prevention behavior of college students. The subjects were 178 students attending a university in K city of Gyeongsangbuk-do. Data were collected with a structured questionnaire from September 1st to October 16th of 2020. The results of this study are as follows; Health belief was significantly different from participant's gender (t=-2.86, p=.005), major classification (F=2.95, p=.034), and taking any medications (t=2.18, p=.030). Self-efficacy in respiratory infection management was significantly different from university students' gender (t=-3.56, p=<.001) and major classification (F=4.59, p=.004). Health belief (r=.276, p<.001) and self-efficacy in respiratory infection management (r=.660, p<.001) had a positive correlation with respiratory infection preventive behavior. Multiple regression analysis results show that self-efficacy in respiratory infection management (β=.66, p<.001) significantly affected respiratory infection preventive behavior. The model had an explanatory power of 43%. The findings demonstrate that the major factor influencing the respiratory infection preventive behavior of university students is self-efficacy in respiratory infection management. Therefore, in order to promote behavior to prevent respiratory infection in college students, a program that can strengthen self-efficacy in respiratory infection management should be developed.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.843-856
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• 2023

The global surge in maritime traffic has resulted in an increased number of ship collisions, leading to significant economic, environmental, physical, and human damage. The causes of these maritime accidents are multifaceted, often arising from a combination of crew judgment errors, negligence, complexity of navigation routes, weather conditions, and technical deficiencies in the vessels. Given the intricate nuances and contextual information inherent in each incident, a methodology capable of deeply understanding the semantics and context of sentences is imperative. Accordingly, this study utilized the SentenceBERT model to analyze maritime safety tribunal decisions over the last 20 years in the Busan Sea area, which encapsulated data on ship collision incidents. The analysis revealed important keywords potentially responsible for these incidents. Cluster analysis based on the frequency of specific keyword appearances was conducted and visualized. This information can serve as foundational data for the preemptive identification of accident causes and the development of strategies for collision prevention and response.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.5
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• pp.19-32
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• 2023

The fragmentation of habitats resulting from human activities leads to the isolation of wildlife and it also causes wildlife-vehicle collisions (i.e. Road-kill). In that sense, it is important to predict potential habitats of specific wildlife that causes wildlife-vehicle collisions by considering geographic, environmental and transportation variables. Road-kill, especially by large mammals, threatens human safety as well as financial losses. Therefore, we conducted this study on roe deer (Capreolus pygargus tianschanicus), a large mammal that causes frequently Road-kill in Jeju Island. So, to predict potential wildlife habitats by considering geographic, environmental, and transportation variables for a specific species this study was conducted to identify high-priority restoration sites with both characteristics of potential habitats and road-kill hotspot. we identified high-priority restoration sites that is likely to be potential habitats, and also identified the known location of a Road-kill records. For this purpose, first, we defined the environmental variables and collect the occurrence records of roe deer. After that, the potential habitat map was generated by using Random Forest model. Second, to analyze roadkill hotspots, a kernel density estimation was used to generate a hotspot map. Third, to define high-priority restoration sites, each map was normalized and overlaid. As a result, three northern regions roads and two southern regions roads of Jeju Island were defined as high-priority restoration sites. Regarding Random Forest modeling, in the case of environmental variables, The importace was found to be a lot in the order of distance from the Oreum, elevation, distance from forest edge(outside) and distance from waterbody. The AUC(Area under the curve) value, which means discrimination capacity, was found to be 0.973 and support the statistical accuracy of prediction result. As a result of predicting the habitat of C. pygargus, it was found to be mainly distributed in forests, agricultural lands, and grasslands, indicating that it supported the results of previous studies.