• Journal of Life Science
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• v.29 no.1
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• pp.45-51
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• 2019

This study is to investigate the effects of the physical activity and intake of improved food levels on male body compositions. Forty men were assigned to a percentage of body fat (PBF) group (20 men with physical exercise and food) and CONTROL group (20 men with exercise, food intake is free) for this six-month study. An aerobic capacity test to measure maximum oxygen consumption ($VO_2$ max) was performed to precisely determine the exercise intensities during the experimental conditions. After exercise and food control, the body weight of 20s with exercise and food (A) and only exercise (B) decreased about 2.3 kg and 0.4 kg after 6 months, respectively. If the p-values were 0.697(between baseline and 3 months), 0.535(between 3 months and 6 months), and 0.617(between baseline and 6 months), respectively, then 20s men had evidence of that a significant main effect does not exist amongst the observations of the outcome or within-weights. Their skeletal muscle mass (SMM) of both groups increased slightly through exercise. Although the decrease in total body weight of 30s was correlated with the increase in SMM, there was not shown significant. While total body water decreased in 20s, 40s, and 50s except 30s men, all other values did not shown significant differences. The physical activity and intake of improved food levels were contributed with lost a lot of weight, decrease of SMM and body fat.

• Tunnel and Underground Space
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• v.31 no.1
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• pp.10-24
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• 2021

Rock mass classification for construction of underground facilities is essential to secure their stabilities. Therefore, the reliable values for rock mass classification from the precise information on rock discontinuities are most important factors, because rock mass discontinuities can affect exclusively on the physical and mechanical properties of rock mass. The conventional classification operation for rock mass has been usually performed by hand mapping. However, there have been many issues for its precision and reliability; for instance, in large-scale survey area for regional geological survey, or rock mass classification operation by non-professional engineers. For these reasons, automated rock mass classification using LiDAR becomes popular for obtaining the quick and precise information. But there are several suggested algorithms for analyzing the rock mass discontinuities from point cloud data by LiDAR scanning, and it is known that the different algorithm gives usually different solution. Also, it is not simple to obtain the exact same value to hand mapping. In this paper, several discontinuity extract algorithms have been explained, and their processes for extracting rock mass discontinuities have been simulated for real rock bench. The application process for several algorithms is anticipated to be a good reference for future researches on extracting rock mass discontinuities from digital point cloud data by laser scanner, such as LiDAR.

• Food Science and Industry
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• v.53 no.4
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• pp.390-396
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• 2020

We investigated the anti-obesity effect of Gelidium elegans extract (GE) on 3T3-L1 preadipocytes and a high-fat-diet (HFD)-induced mouse model. The results of the present study demonstrated that GE prevents weight gain induced by a high-fat diet (HFD) by modulating the adenosine monophosphate-activated protein kinase (AMPK)-PR domain-containing 16 (PRDM16)-uncoupling protein-1 (UCP-1) pathway in a mice model. Moreover, in vitro results show that GE suppressed adipocyte differentiation by modulating adipogenic regulators, stimulated lipolysis by activating ATGL, and inhibited adipogenesis by downregulating various enzymes associated with triglyceride synthesis. GE was also found to upregulate AMPK phosphorylation as well as the expression of UCP1 and PRDM16 proteins, leading to measurable changes in the beige-like phenotype differentiation of 3T3-L1 cells. Taken together, these findings suggest the role of GE as a functional food ingredient extracted from Gelidium elegans to increase energy expenditure and anti-obesity efficacy.

• Journal of the Korean Institute of Gas
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• v.24 no.6
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• pp.18-27
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• 2020

This study presents flow assurance analysis in subsea pipeline considering system availability of topside in LNG-FPSO. A hydrate management strategy was established, which consisted of PVCap experiments, system availability analysis of LNG-FPSO topside, hydrate risk analysis in the pipeline, and calculation of PVCap injection concentration. The experimental data required for the determination of PVCap injection concentration were obtained by measuring the hydrate induction time of PVCap at the subcooling temperatures of 6.1, 9.2, and 12.1℃. The availability of LNG-FPSO topside system for 20 years was 89.3%, and the longest downtime of 50 hours occurred 2.9 times per year. The subsea pipeline model for multiphase flow simulation was created using field geometry data. As a result of risk analysis of hydrate plugging using subsea pipeline model, hydrate was formed at the end of flowline in 23.2 hours under the condition of 50 hours shutdown. The injection concentration of PVCap was determined based on the PVCap experiment results. The hydrate plugging in subsea pipeline of LNG-FPSO can be completely prevented by injecting PVCap 0.25 wt% 2.9 times per year.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.5
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• pp.741-749
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• 2022

Major space agencies are planning for the rover-based lunar exploration since water-ice was detected in permanently shadowed regions (PSR). Although sunlight does not directly reach the PSRs, it is expected that reflected sunlight sustains a certain level of low-light environment. In this research, the indoor testbed was made to simulate the PSR's lighting and topological conditions, to which low light enhancement methods (CLAHE, Dehaze, RetinexNet, GLADNet) were applied to restore image brightness and color as well as to investigate their influences on the performance of feature extraction and matching methods (SIFT, SURF, ORB, AKAZE). The experiment results show that GLADNet and Dehaze images in order significantly improve image brightness and color. However, the performance of the feature extraction and matching methods were improved by Dehaze and GLADNet images in order, especially for ORB and AKAZE. Thus, in the lunar exploration, Dehaze is appropriate for building 3D topographic map whereas GLADNet is adequate for geological investigation.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.835-850
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• 2022

Microplastics have arisen as a worldwide environmental concern, becoming ubiquitous in all marine compartments, and various researches on monitoring marine microplastics are being actively conducted worldwide. Recently, application of a remote detection technology that enables large-scale real-time observation to marine plastic monitoring has been conducted overseas. However, in South Korea, there is little information linking remote detection to marine microplastics and some field studies have demonstrated remote detection of medium- and large-sized marine plastics. This study introduces research cases with remote detection of marine plastics in South Korea and overseas, investigates potential feasibility of using the remote detection technology to marine microplastic monitoring, and suggests some future works to monitor marine microplastics with the remote detection.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.394-401
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• 2021

The construction of new renewable energy facilities is steadily increasing every year. In particular, the offshore wind farm market, which has abundant development scalability and a high production coefficient, is growing rapidly. The southwest sea has the highest possible offshore wind power potential, and related projects are to be promoted. This study presents a basic design procedure by the EUROCODE and considers structural safety in the development of an effective of shore wind foundation in the clay layer. In a previous study, the wind power generator of 5MW class was the main target, but the 8MW of wind turbine generator, which meets the technical trend of the wind turbine market in the Southwest sea, was selected as the standard model. Furthermore, a foundation that fulfills the geological conditions of the Southwest sea was developed. The structural safety of this foundation was verified using finite element method. Moreover, structural safety was secured by proper reinforcement from the initial design. Based on the results of this study, structural safety check for various types of foundations is possible in the future. Additionally, specialized structural design and evaluation guidance were also established.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.40 no.4
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• pp.504-511
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• 1995

This study was conducted to investigate the superoxide dismutase (SOD) characteristics and antioxidant activity by nonenzymatic(Fe$^{2+}$/Ascorbate) and Fe$^{3+}$-ADP/NADPH method in perilla(Perilla frutescens var. japonica Hara.) and jaso(Perilla frutescens Briton var. acuta Kudo.) leaves. The characteristics were evaluated by the nitro blue tetrazolium reduction method. Perilla leaves contained three or four major SODs depending on the varieties. The inhibitor test indicated that the Perilla leaves contained two Cu /ZnSODs and one or two FeSODs, but Jaso leaves have only Cu/ZnSOD. However, no varietal differences were detected in the Cu /ZnSOD isozyme patterns. FeSODs, however, showed different varietal isozyme patterns through the different combinations of the two FeSOD isozymes. Among MeOH extractes, "mil yang 2" showed very strong antioxidant activity. Relatively large differences in the levels of SOD and antioxidant activity detected in the Perilla varietites. There was significantly different in the comparison between perilla leaves and red jaso leaves.s.etween perilla leaves and red jaso leaves.

• Tunnel and Underground Space
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• v.33 no.1
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• pp.57-69
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• 2023

In this study, we simulated induced seismicity in the Groningen natural gas reservoir using 2D hydro-mechanical coupled discrete element modelling (DEM). The code used is PFC2D (Particle Flow Code 2D), a commercial software developed by Itasca, and in order to apply to this study we further developed 1)initialization of inhomogeneous reservoir pressure distribution, 2)a non-linear pressure-time history boundary condition, 3)local stress field monitoring logic. We generated a 2D reservoir model with a size of 40 × 50 km² and a complex fault system, and simulated years of pressure depletion with a time range between 1960 and 2020. We simulated fault system failure induced by pressure depletion and reproduced the spatiotemporal distribution of induced seismicity and assessed its failure mechanism. Also, we estimated the ground subsidence distribution and confirmed its similarity to the field measurements in the Groningen region. Through this study, we confirm the feasibility of the presented 2D hydro-mechanical coupled DEM in simulating the deformation of a complex fault system by hydro-mechanical coupled processes.

• Journal of Life Science
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• v.33 no.9
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• pp.746-753
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• 2023

Viral infectious diseases have been regarded as one of the greatest threats to global public health. The recent coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a stark reminder of the threat posed by emerging viral infections. Developing and producing appropriate and efficient vaccines and therapeutics are the only options to combat this pandemic. The COVID-19 pandemic has highlighted the need for novel vaccine platforms to control and prevent emerging viral diseases. Conventional vaccine platforms, including live-attenuated vaccine and inactivated vaccines, pose limitations in the speed of vaccine development, manufacturing capacity, and broad protection for emergency use. Interestingly, vaccination with the SARS-CoV-2 vaccine candidate based on the mRNA-lipid nanoparticle (LNP) platform protected against COVID-19, confirming that the nucleoside-modified candidate is a safe and effective alternative to conventional vaccines. Moreover, the prophylactic strategies against the COVID-19 pandemic have been mRNA nucleic acid-based vaccines and nanoparticle-based platforms, which are effective against SARS-CoV-2 and its variants. Overall, the novel vaccine platform has presented advantages compared with the traditional vaccine platform in the COVID-19 pandemic. This review explores the recent advancements in vaccine technologies and platforms, focusing on mRNA vaccines, digital vaccines, and nanoparticles while considering their advantages and possible drawbacks.