• Korean Journal of Food Science and Technology
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• v.51 no.3
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• pp.263-271
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• 2019

In this study, we examined the immunostimulating characteristics of a hot water extract (RCW) and crude polysaccharides (RCP) of red cabbage. RCW and RCP did not show any cytotoxicity in B16BL6 cells and macrophages. Although the sugar compositions of RCW and RCP were similar, the uronic acid content of RCP was higher than that of RCW RCP significantly increased the production of various cytokines and NO, whereas RCW did not affect the production of cytokines and NO. In an ex vivo assay of natural killer (NK) cell activity, intravenous (i.v.) administration of RCP significantly augmented NK cytotoxicity against Yac-1 tumor cells at 3 days after RCP treatment. In an experimental lung metastasis model using B16BL6 melanoma cells, i.v. administration of RCP at a dose of $1,000{\mu}g$ per mouse significantly inhibited 47.3% of lung metastasis. These results suggest that crude polysaccharide isolated from red cabbage is a promising food ingredient for the prevention of tumor metastasis.

• Journal of radiological science and technology
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• v.44 no.2
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• pp.117-122
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• 2021

This study is desinged to examine for radiation protection effect of Protaetia Brevitarsis Larvae extracts on the blood and prostate of male rat as a natural radiation protection agent. 5 groups were classified using 90 male rat as experimental animals. Each group was clssified as normal control group (NC Group), the group administered protaetia brevitarsis larvae extracts (PBE Group), irradiated group (IR Group), irradiated group after administration of protaetia brevitarsis larvae extracts (PBE+IR Group), the group administered protaetia brevitarsis larvae extracts after irradiaton (IR+PBE Group). In IR Group, 7 Gy/h of Co-60 gamma ray was irradiated to SD rats. In PBE+IR Group, protaetia brevitarsis larvae extacts wewe injected at 200 mg/kg/day for 14 days before irradiation, In IR+PBE Group, protaetia brevitarsis larvae extract was injeted after irradiation. On the 1, 7 and 21 days after irradiation, the experimental animals were sacrificed to evaluate the changes in blood cell component, superoxide dismutase (SOD) activity, histopathological evaluation of the liver and prostate gland. As a result, the PBE+IR Group and IR+PBE Group showed a significantly recovery of white blood cell (p<0.01, p<0.01), platelet (p<0.01, p<0.01) than the IR Group. It was also confirmed that SOD activity of PBE+IR Group (p<0.01) and IR+PBE Group (p<0.01) was significantly increased than the IR Group. Also PBE+IR Group and IR+PBE Group showed less inflammatory reactions of cystoplasm in the prostate gland than the IR Group. In conclusion, the protaetia brevitarsis larvae have radioprotection effect against blood and prostate gland. It is expected to be useful for research of radiation protection agent.

• Journal of Life Science
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• v.31 no.3
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• pp.321-329
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• 2021

This study examined the growth inhibitory effect of the methanol fraction of maesil (Prunus mume) extract (MMF) on LNCaP, PC-3, and RC-58T human prostate cancer cell lines. Among these cell lines, LNCaP was the most sensitive to the inhibitory effects of MMF. Observation of the morphology and apoptotic body formation in the LNCaP cells revealed morphological changes, nuclear damage, and condensation in response to MMF treatment. The suppressive effect of MMF was related to the intrinsic apoptosis pathway, as indicated by increased expression of the pro-apoptotic proteins Bax, capase-3, capase-9, and PARP and decreased expression of the anti-apoptotic protein Bcl-2. Combined treatment with MMF and the AIF inhibitor N-phenylmalemide (N-PM) indicated that MMF treatment alone had a significant growth suppression effect. The involvement of the extrinsic apoptosis pathway was also confirmed by increased expression of AIF and Endo G. The growth suppression effect of MMF was also significant when compared to the effects of a combination of the PI3K inhibitor LY294002 and MMF. The reduced expression of PI3K, p-Akt, and p-mTOR confirmed the involvement of the PI3K/Akt/ mTOR signaling pathway in regulating the anti-proliferative properties of MMF. In conclusion, the growth suppression effect of MMF in the LNCaP human prostate cancer cell line shows the possibility of using this natural product in functional foods.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.29 no.2
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• pp.63-72
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• 2011

The aim of this study, a traditional residential area in the environmentally friendly design techniques to identify the techniques and principles that have been carried out to reestablish the principles. To do this, through literature review environmental performance is reflected in the traditional residential area side of resources conservation, locational aspects, spatial configuration, and how cases were selected looking for ways to apply modern. Are examples of upper class housing in the Chosen Dynasty Period period construction relatively well-preserved round and a good building with a clear housing Dokrakdang year were selected. Locational aspects of the terrain with minimal changes to the building and construction techniques were entirely in terms of environmental conservation and environmental temperature was adjusted to regulate the room temperature technique could be seen. In terms of cycling in natural materials were recycled. and water make used of positive through water cycling technique & water control. In addition, the importance of landscape views overlooking the landscape from inside to outside through the regulation of the various internal and external space technique was used to attract and expand. Traditionality in the pursuit of modern space, simply cut off because of tradition rather than to restore or recover the organizing principle inherent in the traditional space, and extraction of the contemporary social, cultural and environmental understanding of space is acceptable in basis. Environmentally-friendly design techniques in a traditional residential area for a long time to be developed by the experience of its application of modern environmental and energy problems and pleasant environment to the creation of human life and are subject to significant swings in that.

• Journal of agriculture & life science
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• v.51 no.4
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• pp.97-109
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• 2017

This study was conducted to investigate the effects of anti-inflammatory plant extracts on the in vitro rumen fermentation characteristics and methane emission. Anti-inflammatory plant extracts from Morus bombycis Koidz, Mallotus japonicus L., Morus alba L., Paulownia coreana Uyeki, Isodon japonicus Hara and Ginkgo biloba L. were used in the study. The ruminal fluid(5 mL), McDougall buffer(10 mL), timothy as a substrate(0.3 g) and each anti-inflammatory plant extract(5% of substrate) were dispensed anaerobically into 50mL serum bottle. The mixtures were incubated for 3, 9, 12, 24, 48 and 72h at $39^{\circ}C$ without shaking. Supplementation of the anti-inflammatory plant extracts did not effects characteristics(pH, digestibility of dry matter, glucose concentration, ammonia concentration, protein concentration, VFA) on rumen fermentation. Total gas was showed a different pattern depending on treatments. Carbon dioxide was significantly(p<0.05) higher in Morus alba and Isodon japonicus than in control at 48h. Methane was significantly(p<0.05) lower in treatment than in control at initial fermentation. However the more incubation time was increased, the more methane emission was higher in treatment than in control. The concentrations of polyphenol and flavonoid were higher in Ginkgo biloba. In conclusion, supplementation of the anti-inflammatory plant extracts did not effect on rumen fermentation and methane emission was decreased in initial fermentation.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.118-125
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• 2021

In this study Orostachys japonica A. Berger used is a medicinal herb that has long been used as a folk remedy for cancer treatment. In this study, the antioxidant efficacy of the ethyl acetate fraction of Orostachys japonica A. Berger was confirmed. The results of the Orostachys japonica A. Berge ethyl acetate fraction of antioxidant activity assays showed Antioxidant effect of Orostachys japonica A. Berger EtOAc fraction extract at 0.10 mg/mL was showed a DPPH radical scavenging rate of 78.54% and ABTS+ radical scavenging rate of 73.48%. Also, the toxicity result of Orostachys japonica A. Berger EtOAc fraction extracts using alternative experimental animal model zebrafish, confirmed a 100% the survival of the zebrafish embryo was shown that there was no coagulation and no hatching delay at all concentrations. also ROS generation induced by UV-B irradiation was confirmed that the fluorescence intensity decreased as a whole in all larvae treated with Orostachys japonica A. Berger EtOAc fraction extracts. In particular, it was confirmed that ROS generation was effectively suppressed by showing a 35.7% reduction rate compared to the positive control at a concentration of 3 ㎍/mL. These results were confirmed that Orostachys japonica A. Berger EtOAc fraction extracts has the possibility of application in the cosmetics field as a natural antioxidant.

• Journal of Korea Water Resources Association
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• v.54 no.8
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• pp.553-566
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• 2021

River confluence is often characterized by shear layer and the associated strong mixing. In natural rivers, the main channel and its tributary can be separated by the shear layer using contrasting colors. The shear layer can be easily observed using aerial images from satellite or unmanned aerial vehicles. This study proposes a low-cost identification method extracting geographic features of the shear layer using RGB aerial image. The method consists of three stages. At first, in order to identify the shear layer, it performs image segmentation using a Gaussian mixture model and extracts the water bodies of the main channel and tributary. Next, the self-organizing map simplifies the flow line of the water bodies into the 1-dimensional curve grid. After that, the curvilinear coordinate transformation is performed using the water body pixels and the curve grid. As a result, the shear layer identification method was successfully applied to the confluence between Nakdong River and Nam River to extract geometric shear layer features (confluence angle, upstream- and downstream- channel widths, shear layer length, maximum shear layer thickness).

• Microbiology and Biotechnology Letters
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• v.50 no.1
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• pp.31-39
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• 2022

The purpose of this study was to investigate the whitening effects of hot water (AMPW) and ethanol (AMPE) extracts of Mangifera indica L. peel. To verify the whitening effects, tyrosinase inhibitory activity was measured. 9.51% inhibitory activity, and 35.98% inhibitory activity at 1,000 ㎍/ml. The effects of AMPW and AMPE on cell viability were measured using a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay in B16-F10 melanoma cells. Greater than 95% cell viability was observed at 100 ㎍/ml. Thus, subsequent experiments were performed at concentrations less than 100 ㎍/ml. The whitening effects were confirmed by measuring the protein and mRNA expression levels of microphthalmia-associated transcription factor, tyrosinase, tyrosinase-related protein 1 (TRP-1), and TRP-2, which are factors involved in melanin synthesis. Western blotting and reverse transcription-polymerase chain reaction results confirmed that 100 ㎍/ml AMPW and AMPE showed superior inhibitory effects than the control treatment (alpha-melanocyte stimulating hormone only). Therefore, Mangifera indica L. peel extract had a whitening effect, and thus, has potential as a natural material for use in cosmetics.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.137-147
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• 2022

Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.