• The Journal of Traditional Korean Medicine
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• v.15 no.1
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• pp.77-82
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• 2006

Lavandula vera is indispensable member of the herb family, used for perfumes and potpourri. Androgens have profound effects on the physiology of the sebaceous gland. Sebum is secreted due to the effect of androgen, which starts to be secreted at puberty. Using the human sebocyte cell line SZ95. the author investigated the inhibitory effect of Lavandula vera on the lipid production. Light microscopic finding were examined numerous cytoplasmic lipid droplets SZ95 cells by Oil red staining and lipid droplets were increased markedly by testosterone. On the other hand, combined treatment with Lavandula vera and testosterone resulted in a lower lipid droplets than with testosterone alone in a dose-dependent manner. These findings indicate that Lavandula vera acts antagonistically to testosterone and inhibits the lipid synthesis of SZ95 cells at the cellular level.

• Journal of Korean Medicine for Obesity Research
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• v.17 no.2
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• pp.101-110
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• 2017

Objectives: In this study, the lipolytic effects of Eriobotrya folium extract (EFE) on local fat was investigated in high fat diet (HFD)-induced obesity mouse and 3T3-L1 adipocytes. Methods: C57BL/6J mice (5 weeks) were fed HFD for 6 weeks to induce obesity. EFE (20 mg/ml, $100{\mu}l$) or saline ($100{\mu}l$) as a normal control was injected into left inguinal fat pad region, 3 times per a week for last 2 weeks. After sacrifice, body weight, and histological changes of the inguinal fat pad were evaluated. The expressions of hormone-sensitive lipase (HSL) and adipose triglyceride lipase (ATGL) in inguinal fat pad were analyzed by Western blotting. Also, lipid accumulation and lipases release were determined in 3T3-L1 adipocytes by oil red o staining. Results: EFE significantly reduced the weight of inguinal fat pad and the size of adipocytes in HFD-induced obesity mice compared to control. The treatment of EFE up-regulated the expressions of HSL and ATGL in inguinal fat pads of obesity mice, as well as 3T3-L1 adipocytes. In addition, EFE inhibited the lipid accumulation in 3T3-L1 adipocytes in a dose dependent manner. Conclusions: EFE showed lipolytic effect on local fat of HFD-induced obesity mice by up-regulation of the lipases secretion. This suggests that EFE could be considered as anti-obese substance with lipolytic property on local fat.

• Natural Product Sciences
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• v.27 no.3
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• pp.201-207
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• 2021

We have previously reported that Acer tegmentosum extract, which is traditionally used in Korea to reduce alcohol-related liver injury, suppresses liver inflammation caused by excessive alcohol consumption and might improve metabolism. The active ingredient, 6-O-galloylsalidroside (GAL), was isolated from A. tegmentosum, and we hypothesized that GAL could provide desirable pharmacological benefits by ameliorating physiological conditions caused by alcohol abuse. Therefore, this study focused on whether GAL could ameliorate alcoholic fat accumulation and repair liver injury in mice. During chronic alcohol consumption plus binge feeding in mice, GAL was administered orally once per day for 11 days. Intrahepatic lipid accumulation was measured in vivo using a noninvasive method, ¹H magnetic resonance imaging, and confirmed by staining with hematoxylin and eosin and Oil Red O. The serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were measured using a Konelab system, and the triglyceride content was measured in liver homogenates using an enzymatic peroxide assay. The results suggested that GAL alleviated alcohol-induced steatosis,e as indicated by decreased hepatic and serum triglyceride levels in ethanol-fed mice. GAL treatment also correlated with a decrease in the Cd36 mRNA expression, thus potentially inhibiting the development of alcoholic steatosis via the hepatic de novo lipogenesis pathway. Furthermore, treatment with GAL inhibited the expression of cytochrome P450 2E1 and attenuated hepatocellular damage, as reflected by a reduction in ALT and AST levels. These findings suggest that GAL extracted from A. tegmentosum has the potential to serve as a bioactive agent for the treatment of alcoholic fatty liver and liver damage.

• Natural Product Sciences
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• v.24 no.4
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• pp.235-240
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• 2018

Betula platyphylla var. japonica (Betulaceae), also known as Asian white birch, is an endemic medicinal tree, the bark of which has been used in Chinese traditional medicine for the treatment of various inflammatory diseases. In our continuing search for bioactive compounds from Korean natural resources, a phytochemical investigation of the bark of B. platyphylla var. japonica led to the isolation of 7-oxo-${\beta}$-sitosterol (1) and soyacerebroside I (2) from its ethanol extract as main components by liquid chromatography (LC)/mass spectrometry (MS)-based analysis. The structures of isolates were identified by comparison of $^1H$ and $^{13}C$ nuclear magnetic resonance spectroscopic data and physical data with the previously reported values and LC/MS analyses. To the best of our knowledge, this is the first study to demonstrate that the isolated compounds, 7-oxo-${\beta}$-sitosterol and soyacerebroside I, were isolated in B. platyphylla var. japonica. We examined the effects of the isolates on the regulation of adipocytes and osteoblast differentiation. These isolates (1 and 2) produced fewer lipid droplets compared to the untreated negative control in Oil Red O staining of the mouse mesenchymal stem cell line without altering the amount of alkaline phosphatase staining. The results demonstrated that both compounds showed marginal inhibitory effects on adipocyte differentiation but did not affect osteoblast differentiation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.19-27
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• 2022

In this study, we propose a language and platform to describe and manage the MLOps(Machine Learning Operations) workflow for time series data anomaly detection. Time series data is collected in many fields, such as IoT sensors, system performance indicators, and user access. In addition, it is used in many applications such as system monitoring and anomaly detection. In order to perform prediction and anomaly detection of time series data, the MLOps platform that can quickly and flexibly apply the analyzed model to the production environment is required. Thus, we developed Python-based AI/ML Modeling Language (AMML) to easily configure and execute MLOps workflows. Python is widely used in data analysis. The proposed MLOps platform can extract and preprocess time series data from various data sources (R-DB, NoSql DB, Log File, etc.) using AMML and predict it through a deep learning model. To verify the applicability of AMML, the workflow for generating a transformer oil temperature prediction deep learning model was configured with AMML and it was confirmed that the training was performed normally.

• The Korea Journal of Herbology
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• v.38 no.3
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• pp.1-10
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• 2023

Objective : Obesity in modern society has a significant impact on pathological, psychological and social problems. Therefore, many studies on obesity treatment using herbal extracts with fewer side effects have been conducted. This study was designed to investigate the effect of inhibiting fat accumulation in vitro in order to Mongolian medicinal plants find anti-obesity candidate among. Methods : We measured pancreatic lipase inhibitory activity in Mongolian medicinal plants extract. Cytotoxicity of these extracts was monitored in 3T3-L1 cells by MTT assay. In addition, the anti-obesity effects was confirmed at concentrations of 0.2, 0.1 and 0.05 mg/㎖ through Oil red O staining. Results : Among Mongolian medicinal plants, Rheum undulatum roots in September (RURS), Paeonia anomala L. (PAL), and Fragaria orientalis (FO) showed the highest pancreatic lipase inhibitory activity. As a result of the MTT assay, more than 80% was judged to be non-toxic, and the concentration was determined, and as a result of evaluating the lipid accumulation inhibitory effect, 6 types were selected as candidates. Conclusion : Based on these results, the top 7 species expected to be used as anti-obesity functional materials were selected. However, additional efficacy verification and mechanism of action need to be established in the future. So, it is expected that the medicinal plants verified through this will be used as functional materials for the prevention and treatment of obesity.

• Convergence Security Journal
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• v.23 no.1
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• pp.69-77
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• 2023

Recently, ransomware damage has been increasing rapidly around the world, including Irish health authorities and U.S. oil pipelines, and is causing damage to all sectors of society. In particular, research using machine learning as well as existing detection methods is increasing for ransomware detection and response. However, traditional machine learning has a problem in that it is difficult to extract accurate predictions because the model tends to predict in the direction where there is a lot of data. Accordingly, in an imbalance class consisting of a large number of non-Ransomware (normal code or malware) and a small number of Ransomware, a technique for resolving the imbalance and improving ransomware detection performance is proposed. In this experiment, we use two scenarios (Binary, Multi Classification) to confirm that the sampling technique improves the detection performance of a small number of classes while maintaining the detection performance of a large number of classes. In particular, the proposed mixed sampling technique (SMOTE+ENN) resulted in a performance(G-mean, F1-score) improvement of more than 10%.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.320-320
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• 2022

Coriander(Coriandrum sativum L.) belongs to the family Umbelliferae/Apiaceae. It is cultivated as a spice and medicinal herb around the world, including its leaves and seeds. Coriander leaves have soft and fragrant, so they can be used in cuisines such as China, Mexico, and, Southeast Asia. Coriander leaves contain a high amount of vitamin C, carotene, and multiple polyphenols. Coriander essential oils and extracts have various chemical components and are known to have antioxidant, antibacterial, and antifungal activities. This study was carried out for resource discovery, propagation, and DB construction of aromatic plants. In order to evaluate the genetic characteristics, 30 kinds of Coriander seeds were supplied from the Center for Genetic Resources. The evaluation of characteristics of the basal part leaf number, leaf shape, and plant height was investigated. Also, Essential oils extract from various parts of plants including the leaves, flowers, and steam isolated by simultaneous distillation extraction(SDE) apparatus. In the results, heights showed growing to 70 cm over and basal part leaf number 0 to7. The leaves are variable, they are measured according to leaves incisions, and most of the included incision. The qualitative analysis of EOs was performed using gas chromatography-mass spectrometry. EOs had various chemical compositions. Major compounds were trans-2-Decenal, linalool, decanal, 2-Dodecenal, 13-Tetradecanal, 2-Undecenal.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.94-94
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• 2020

Safflower, a draught and salt tolerant oil seed crop of Compositae family, has been cultivated around the world mainly as source of edible oils and dyes, where India, the USA, Mexico, Australia, and Ethiopia contributing about 85% of the production altogether. In this study we have characterized some selected morphological properties of safflower plant and determined the the total phenolic content (TPC) and fatty acid composition in seeds of 237 genetic resources. All the seed coats were white colored while the petals had red, yellow and white pigments. The yellow was the predominant petal color being recorded in 182 accessions followed by red occurring in 49 accessions. The petal color of 47 of the accessions changed with development while the 190 accession showed no change of color. The leaves are ovate to obovate, mostly with dentate (21 moderate and 205 weak) and few smooth (11) margins. The plant length, leaf length, and leaf width were ranged between 65.7 and 160.8 cm, 14.3 and 37.0 cm, and 3.3 and 12.1 cm, respectively. The TPC was determined using Folin-Ciocalteu method and fatty acid compositions were evaluated using gas chromatography. The TPC content ranged from 23.71 to 132.72 µgGAE/mg dried extract (DE). The seeds of safflower genetic resources accounted an average crude fat content of 26.25% (14.84 to 41.70%). The total fatty acid is mainly comprised of 71.72% linoleic acid (18:2) and 20.08% oleic acid (18:1) on average, the remaining palmitic acid (16:0), stearic acid (18:0) and linolenic acid (18:3) contributing 5.84, 2.23 and 0.15 %, respectively. The fatty acid composition of safflower seeds has shown great variability, where oleic and linoleic acid have a wide range of variation, from 9.23 to 83.35% and from 10.46 to 82.62%, respectively

• Advances in nano research
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• v.15 no.5
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• pp.441-449
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• 2023

Heavy metals, widely present in the environment, have become significant pollutants due to their excessive use in industries and technology. Their non-degradable nature poses a persistent environmental problem, leading to potential acute or chronic poisoning from prolonged exposure. Recent research has focused on separating heavy metals, particularly from industrial and mining sources. Industries such as metal plating, mining operations, tanning, wood and chipboard production, industrial paint and textile manufacturing, as well as oil refining, are major contributors of heavy metals in water sources. Therefore, removing heavy metals from water is crucial, especially for safe water supply in swimming and water sports. Iron oxide nanoparticles have proven to be highly effective adsorbents for water contaminants, and efforts have been made to enhance their efficiency and absorption capabilities through surface modifications. Nanoparticles synthesized using plant extracts can effectively bind with heavy metal ions by modifying the nanoparticle surface with plant components, thereby increasing the efficiency of heavy metal removal. This study focuses on removing lead from industrial wastewater using environmentally friendly, cost-effective iron nanoparticles synthesized with Genovese basil extract. The synthesis of nanoparticles is confirmed through analysis using Transmission Electron Microscope (TEM) and X-ray diffraction, validating their spherical shape and nanometer-scale dimensions. The method used in this study has a low detection limit of 0.031 ppm for measuring lead concentration, making it suitable for ensuring water safety in swimming and water sports.