• The Korea Journal of Herbology
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• v.28 no.4
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• pp.83-92
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• 2013

Objectives : Lespedeza Cuneata has been used to treat leukorrhea, asthma, stomach pain, diarrhea, acute mastitis, in Korean traditional medicine. According to recent studies, Lespedeza Cuneata has antioxidation, hypoglycemia, cell protective, insulin secretion, whitening, corpora cavernosa smooth muscle relaxation and antimicrobial activities, but it has been rarely conducted to evaluate the immuno-biological activity. The present study was examined to evaluate the anti-inflammatory effects of the Lespedeza Cuneata MeOH extract (LCE) in vivo and in vitro. Methods : In vitro, inflammatory mediators, such as cytokines, nitric oxide and prostaglandin $E_2$ were detected after the addition of LPS with or without LCE in Raw 264.7 macrophage cell line. In vivo, anti-edema effect of LCE was determined in the carrageenan-induced paw edema model in rats. Results : In vitro assay, LCE decreased release of nitric oxide (NO) and prostaglandin $E_2$ ($PGE_2$) via suppression of iNOS and COX-2 expression. LCE inhibited the phosphorylation of $I{\kappa}B$ indicating the suppression of NF-${\kappa}B$ pathway. In vivo assay, LCE significantly inhibited the formation of paw edema induced by carrageenan injection in rats. LCE effectively inhibited increases of hind paw skin thickness and inflammatory cell infilterations. Conclusion : These findings demonstrate that LCE has inhibitory effect on inflammatory mediators in LPS-activated Raw 264.7 cells and on paw edema in carrageenan-stimulated rats, showing the possibility of anti-inflammatory use of Lespedeza Cuneata.

• The Korea Journal of Herbology
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• v.33 no.6
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• pp.61-70
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• 2018

Objectives : Non-alcoholic fatty liver disease (NAFLD) is characterized by the accumulation of hepatic triglycerides (TG) that leads to inflammation and fibrosis. Crataegi Fructus ethanol extract (CE) is a korean traditional herb that used for digestive diseases. It has been investigated that CE has the effect that prevent hepatotoxicity caused by CCl4 or GaIN and regulate the inflammatory in several organs. However, a hypolipidemic effect of CF has not been reported. Methods : The purpose of this study is that examine the lipid accumulation inhibitory effect of CE on NAFLD. We checked the body and liver weight change of MCD-diet induced mice with/without administration of CE. The blood lipid levels of C57BL/6J mice were checked by biochemistry. Also we observed the liver histology of MCD-diet induced mice and investigate the molecular mechanisms in MCD-diet-induced NAFLD in C57BL/6J mice. Results : CE improved MCD-diet-induced lipid accumulation and TG and TC levels. Also, CE decreased hepatic lipogenesis such as SREBP-1, $C/EBP{\alpha}$, $PPAR{\gamma}$, ACC and FAS. Besides, we also found out that CE increased AMPK phosphorylation. These results indicated that CE has the same ability to activate AMPK and then reduce SREBP-1, and FAS expression, finally leading to inhibit hepatic lipogenesis and hepatic antioxidative ability. Conclusions : In this report, we found CE exerted a regulatory effect on lipid accumulation by decreasing lipogenesis in MCD-diet induced NAFLD model. Therefore, CE extract may be active in the prevention of fatty liver.

• Ocean and Polar Research
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• v.44 no.4
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• pp.269-285
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• 2022

The interaction between ocean and ice shelf is a critical physical process in relation to water mass transformations and ice shelf melting/freezing at the ocean-ice interface. However, it remains challenging to thoroughly understand the process due to a lack of observational data with respect to ice shelf cavities. This is the first study to simulate the variability and circulation of water mass both overlying the continental shelf and underneath an ice shelf and an ice tongue in the Terra Nova Bay (TNB), East Antarctica. To explore the properties of water mass and circulation patterns in the TNB and the corresponding effects on sub ice shelf basal melting, we explicitly incorporate the dynamic-thermodynamic processes acting on the ice shelf in the Regional Ocean Modeling System. The simulated water mass formation and circulation in the TNB region agree well with previous studies. The model results show that the TNB circulation is dominated by the geostrophic currents driven by lateral density gradients induced by the releasing of brine or freshwater at the polynya of the TNB. Meanwhile, the circulation dynamics in the cavity under the Nansen Ice shelf (NIS) are different from those in the TNB. The gravity-driven bottom current induced by High Salinity Shelf Water (HSSW) formed at the TNB polynya flows towards the grounding line, and the buoyance-driven flow associated with glacial meltwater generated by the HSSW emerges from the cavity along the ice base. Both current systems compose the thermohaline overturning circulation in the NIS cavity. This study estimates the NIS basal melting rate to be 0.98 m/a, which is comparable to the previously observed melt rate. However, the melting rate shows a significant variation in space and time.

• Journal of Korean Neurosurgical Society
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• v.65 no.5
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• pp.719-729
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• 2022

Objective : The ossification of the ligamentum flavum (OLF) is one of the major causes of thoracic myelopathy. Surgical decompression with or without instrumented fusion is the mainstay of treatment. However, few studies have reported on the added effect of instrumented fusion. The objective of this study was to compare clinical and radiological outcomes between surgical decompression without instrumented fusion (D-group) and that with instrumented fusion (F-group). Methods : A retrospective review was performed on 28 patients (D-group, n=17; F-group, n=11) with thoracic myelopathy due to OLF. The clinical parameters compared included scores of the Japanese Orthopedic Association (JOA), the Visual analogue scale of the back and leg (VAS-B and VAS-L), and the Korean version of the Oswestry disability index (K-ODI). Radiological parameters included the sagittal vertical axis (SVA), the pelvic tilt (PT), the sacral slope (SS), the thoracic kyphosis angle (TKA), the segmental kyphosis angle (SKA) at the operated level, and the lumbar lordosis angle (LLA; a negative value implying lordosis). These parameters were measured preoperatively, 1 year postoperatively, and 2 years postoperatively, and were compared with a linear mixed model. Results : After surgery, all clinical parameters were significantly improved in both groups, while VAS-L was more improved in the F-group than in the D-group (-3.4±2.5 vs. -1.3±2.2, p=0.008). Radiological outcomes were significantly different in terms of changes in TKA, SKA, and LLA. Changes in TKA, SKA, and LLA were 2.3°±4.7°, -0.1°±1.4°, and -1.3°±5.6° in the F-group, which were significantly lower than 6.8°±6.1°, 3.0°±2.8°, and 2.2°±5.3° in the D-group, respectively (p=0.013, p<0.0001, and p=0.037). Symptomatic recurrence of OLF occurred in one patient of the D-group at postoperative 24 months. Conclusion : Clinical improvement was achieved after decompression surgery for OLF regardless of whether instrumented fusion was added. However, adding instrumented fusion resulted in better outcomes in terms of lessening the progression of local and regional kyphosis and improving leg pain. Decompression with instrumented fusion may be a better surgical option for thoracic OLF.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.81-86
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• 2022

In this work, we propose a method for automatically determining the domain of columns of file data structured by csv format. New data can be generated through convergence between data and data, and the consistency of the joined columns must be maintained in order for these new data to become an important resource. One of the methods for measuring data quality is a domain-based quality diagnosis method. Domain is the broadest indicator that defines the nature of each column, so a method of automatically determining it is necessary. Although previous studies mainly studied domain automatic discrimination of relational databases, this study developed a model that can automate domains using the characteristics of file data. In order to specialize in the domain discrimination of file data, the data were simplified and patterned using a regular expression, and the contents of the data header corresponding to the column name were analyzed, and the suffix used was used as a derived variable. When derivatives of regular expressions and suffixes were added, the result of automatically determining the domain with an accuracy of 95% greater than the existing method of 87% was derived. This study is expected to reduce the quality measurement period and number of people by presenting an automation methodology to the quality diagnosis of public data.

• 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 Digital Convergence
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• v.20 no.5
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• pp.85-92
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• 2022

In recent years, the world's free trade system has been severely damaged by a series of protectionist measures in the United States and anti-globalization practices such as Brexit. Against this background, RCEP, the world's largest trade agreement, was officially signed on November 15, 2021. The RCEP provided a good working basis for the establishment of a Korea, China, and Japan free trade zone. First, this paper describes the current status of Korea-China-Japan trade cooperation and the current status of the trilateral telecommunication industry. Second, this paper simulates the changes in the overall economy of China, Japan, and Korea when tariffs are reduced to 0%, 5%, and 10%, respectively, after the establishment of a free trade zone using the 8th edition GTAP database. Then, using the simulated data changes and using the 2019 data as a benchmark, we calculated the changes in the RCA index for the three countries' telecommunications industries for the three tax rates. In the end, it is concluded that the economies of the three countries will grow to different levels in many ways when the Korea, China, and Japan free trade zone is established. Japan's telecommunications industry will not be significantly affected, Korea will grow significantly with higher tax rates and China will grow significantly with lower tax rates.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.83-106
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• 2021

Interests in clean fuels have been soaring because of environmental problems such as air pollution and global warming. Unlike fossil fuels, hydrogen obtains public attention as a eco-friendly energy source because it releases only water when burned. Various policy efforts have been made to establish a hydrogen based transportation network. The station that supplies hydrogen to hydrogen-powered trucks is essential for building the hydrogen based logistics system. Thus, determining the optimal location of refueling stations is an important topic in the network. Although previous studies have mostly applied optimization based methodologies, this paper adopts machine learning to review spatial attributes of candidate locations in selecting the optimal position of the refueling stations. Machine learning shows outstanding performance in various fields. However, it has not yet applied to an optimal location selection problem of hydrogen refueling stations. Therefore, several machine learning models are applied and compared in performance by setting variables relevant to the location of highway rest areas and random points on a highway. The results show that Random Forest model is superior in terms of F1-score. We believe that this work can be a starting point to utilize machine learning based methods as the preliminary review for the optimal sites of the stations before the optimization applies.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.269-278
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• 2021

This study was conducted to develop a learning competency scales customized for learning programs conducted by Center for Teaching & Learning at A University. To achieve this purpose, a preliminary study was set up, which consists of three competency groups (basic competency, intensity competency, application competency) and 13 learning competency factors through a review of previous studies. In order to verify the reliability and validity of the provisional learning competency scales, an online survey was conducted on A university students in September 2020, The collected questionnaire data were organized and exploratory factor analysis and confirmatory factor analysis were conducted. As a result of exploratory factor analysis, 13 learning competency was reduced to 10 as the three competency groups were maintained. As a result of the confirmatory factor analysis, the model was found to be good, Also, as a result of analyzing the reliability of the confirmed learning competency factors, all 10 factors showed a good level of .7 or more. The learning competency scales developed through this study can be used as basic data for performance evaluation and development of new programs of CTL learning program.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.447-454
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• 2020

The purpose of this study was to determine the clinical effects of blood flow regulation exercise for improving patients' health care and its usefulness as a rehabilitation model for various diseases by analyzing and examining the existing literature. A literature review of Korean academic journals published over a 10-year period, from 2010 to 2019, was conducted using words such as "blood flow regulation," "blood flow restriction," "low-intensity exercise," and "Kaatsu." Kaatsu is a blood flow regulation exercise developed in 1966 by Dr. Yoshiaki Sato of Japan. It is an efficient and effective exercise method that uses blood flow regulation bands that increase the secretion of growth hormones to develop muscles within a short time, improves blood circulation and metabolism to prevent and improve adult diseases, shortens the rehabilitation period, and improves cardiovascular function. The study participants consisted of 10 patients, of whom four were elderly, four had obesity, one was a stroke patient, and one was a trauma patient. The results of this study show that the blood flow regulation exercise, which is a low-intensity exercise, has the same effect as high-intensity exercise, which supports the evidence that it is a highly efficient exercise method for muscle development and rehabilitation of the elderly, adolescents, and patients with injuries who have difficulty in general exercising. For future studies, further reviews are necessary to verify the effectiveness of the exercise method according to blood flow regulation site and type of disease.