• Journal of Plant Biotechnology
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• v.49 no.4
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• pp.347-355
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• 2022

Jeju lava seawater's abundant minerals are known to exert antioxidant effects that remove the free radicals responsible for aging. Therefore, lava seawater reportedly possesses high commercial value as a functional food material. This study compared and analyzed the antioxidant activities of extracts from crops produced in Jeju (carrots, blueberries, and mandarins) using distilled water and lava seawater as solvents. Lava seawater extracts exhibited higher total polyphenol and flavonoid contents of blueberries and mandarins than distilled water extracts. Furthermore, the antioxidant enzymatic and 2, 2-diphenyl-1-picrylhydrazyl radical-scavenging activities of these crops were higher in lava seawater extracts than in distilled water extracts. In particular, using Vero cells, the ROS-scavenging efficacies of blueberries and mandarins were found to be higher in lava seawater extracts. Meanwhile, the antioxidant activities of carrots were higher in lava seawater extracts, despite no difference in total polyphenol and flavonoid contents. These results suggest that lava seawater exhibits favorable potential as a solvent in the functional food industry, and lava seawater-based Jeju crop extracts are potentially useful as functional food ingredients.

• The Korea Journal of Herbology
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• v.38 no.5
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• pp.85-95
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• 2023

Objectives : This study was intended to reveal the chemical profiles of aerial(leaf, stem) and underground(rhizome, radix) parts of wild ginseng, and to investigate their anti-aging effects on human skin cells. Methods : Wild ginseng, estimated for over 20 years, was divided into the aerial and underground parts. Total phenolic contents of each extracts were measured using a Folin-ciocalteu method. The contents of 18 amino acids, 8 minerals and 27 ginsenosides were determined by GC-FID, ICP-MS and LC-MS, respectively. The anti-aging effects, including the radical scavenging activity, the activation of mitochondrial function on human fibroblasts, and the proliferation activity on human keratinocyte progenitor cells, for the whole plant and underground part of wild ginseng were evaluated. Results : The total phenolic acids, amino acids, and minerals in the aerial part were more than twice as high as in the underground part. Compared to the cultivated ginseng root, there were various types of ginsenosides in both parts of wild ginseng, and the total amount was more than twice as high. In particular, the aerial part significantly contained ginsenoside F1, F2, C-Mc1, and C-O, and the distinctive patterns that distinguish each parts of wild ginseng from the cultivated ginseng root were derived. The whole plant and underground part of wild ginseng exhibited significant antioxidant effect(14.3-45.6%), activation of mitochondrial membrane potential(105.5-120.1%), and cell proliferation(112.1-125.4%). Conclusions : The entire plant and underground part of wild ginseng are high value-added plants and have beneficial effects on skin anti-aging properties through its abundant metabolites.

• The Korea Journal of Herbology
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• v.24 no.4
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• pp.205-213
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• 2009

Objectives : Cancer incidence is increasing in all countries and chemotherapy-induced peripheral neuropathy (CIPN) in patients undergoing chemotherapeutic agents have been a clinically serious problems. So far therapeutic options for CIPN patients are limited and no confirmed methods have yet been established for dealing with peripheral neuropathy. Therefore this review is to provide an evidence-based summary of oriental medicine and CAM (complementary and alternative medicine) neuroprotective and treatment therapies which have gone through clinical trials. Methods : An overview of the domestic and international papers of adult clinical trials relating management of only CIPN symptoms through 1990 to present were searched by electronic databases. Search key words were chemotherapy-induced neurotoxicity, chemotherapy-induced peripheral neuropathy, chemotherapy toxicity & herb, chemotherapy toxicity & acupuncture, chemotherapy toxicity & CAM. Only English and Korean written papers were reviewed. Total 25 papers were reviewed in this study, 18 papers were retrieved by electronic search. Results : Clinical studies of managing CIPN were rare, two acupuncture clinical studies and four herb medicinal studies were found. Rest of 19 papers were about other CAM clinical studies. Total 25 papers were analyzed, and all interventions were focused on their pain control efficacy. Other 24 trials of potential therapies except one proved to be effective for CIPN, however some described to be inadequate positive or sufficient negative. Conclusions : As most of the studies were pilot studies, interventions for the prevention and treatment of CIPN have to go through prospective confirmatory studies, such as larger scale randomized, double-blinded, placebo controlled clinical trials must be done for the safe and effective use of proposed therapies. Also standard measurement scales have to be developed for the better clinical study of CIPN.

• Journal of the Korean Geotechnical Society
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• v.24 no.9
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• pp.13-21
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• 2008

Partitioning tracer method is a useful tool to characterize large domains of the aquifers contaminated with light nonaqueous phase liquids (LNAPLs). Sorption of the partitioning tracers to the organic matter content of soil can potentially influence the efficacy of partitioning tracer method. LNAPL-water partitioning coefficients of tracers ($K_{nw}$), measured by static method, showed linear relationship. Sorption isotherm tests were conducted to evaluate the sorption capacity of the soils packed in the columns and the results were appropriately represented by Freundlich sorption isotherm. The sorption of tracers proportionally increased with the increase of the organic matter content of the soil. Laboratory experiments were conducted in four columns each packed with soils of different organic matter contents to determine the potential interference effects of sorption to soil organic matter content and correction factors for the errors in estimation of LNAPLs by partitioning tracer method. Though there were no contaminants added, breakthrough curves from columns packed with mixture of Jumunjin standard sand and organic matter showed separation of tracers. Columns were then contaminated to residual saturation with kerosene and breakthrough curves were obtained. The results show that sorption of tracers to soil organic matter leads to an increase in the retardation factor (R) and hence, to an overestimation of the saturation of LNAPLs. A relation between the percentage of organic matter content and the corresponding percentage error in the estimation of NAPLs has been developed.

• Journal of Korean Library and Information Science Society
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• v.53 no.1
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• pp.231-263
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• 2022

The understanding and capability to utilize artificial intelligence (AI) incorporated technology has become a required basic skillset for the people living in today's information age, and various members of the university have also increasingly become aware of the need for AI education. Amidst such shifting societal demands, both domestic and international university libraries have recognized the users' need for educational content centered on AI, but a user-centered service that aims to provide personalized recommendations of digital AI educational content is yet to become available. It is critical while the demand for AI education amongst university students is progressively growing that university libraries acquire a clear understanding of user intention towards an AI educational content recommender system and the potential factors contributing to its success. This study intended to ascertain the factors affecting acceptance of such system, using the Extended Technology Acceptance Model with added variables - innovativeness, self-efficacy, social influence, system quality and task-technology fit - in addition to perceived usefulness, perceived ease of use, and intention to use. Quantitative research was conducted via online research surveys for university students, and quantitative research was conducted through written interviews of university librarians. Results show that all groups, regardless of gender, year, or major, have the intention to use the AI-related Educational Content Recommendation System, with the task suitability factor being the most dominant variant to affect use intention. University librarians have also expressed agreement about the necessity of the recommendation system, and presented budget and content quality issues as realistic restrictions of the aforementioned system.

• Tuberculosis and Respiratory Diseases
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• v.86 no.2
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• pp.82-93
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• 2023

Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT's efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.

• Asia Marketing Journal
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• v.11 no.1
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• pp.1-27
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• 2009

The research compared the motivational network of traits predictive of complaint attitudes across consumers in the U.S. and South Korean cultures. Overall, the results revealed a similar pattern of traits predictive of complaint attitudes in the two cultures. The traits of value consciousness, general self-efficacy, emotional instability, and the need for material resources were positively related to attitudes toward complaining. In contrast, conscientiousness was negatively related to complaint attitudes. The only trait predictor of complaining attitude that was significantly different between the Korean and U.S. samples was shopping enjoyment. It was negatively related to complaining attitude in the U.S. sample but unrelated to complaining attitude in the Korean sample. Understanding the personality traits predictive of complaint attitudes has the potential to help marketers develop messages that will encourage the low complaint prone to voice their dissatisfaction. This is important, because when a consumer complains about and unsatisfactory purchase, it gives the firm a chance to take actions to avoid losing a customer.

• Journal of radiological science and technology
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• v.46 no.5
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• pp.367-377
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• 2023

This study investigates the utility of the Triglyceride-glucose(TyG) index and Cardiometabolic Index(CMI) as predictors for diagnosing metabolic syndrome. The study involved 1970 males, 1459 females, totaling 3429 participants who underwent health checkups at P Hospital in Busan between January 2023 and June 2023. Metabolic syndrome diagnosis was based on the presence of 3 or more risk factors out of the 5 criteria outlined by the American Heart Association/National Heart, Lung, and Blood Institute(AHA/NHLBI), and participants with 2 or fewer risk factors were categorized as normal. Statistical analyses included independent sample t-tests, chi-square tests, Pearson's correlation analysis, Receiver Operating Characteristic(ROC) curve analysis, and logistic regression analysis, using the Statistical Package for the Social Sciences(SPSS) program. Significance was established at p<0.05. The comparison revealed that the metabolic syndrome group exhibited attributes such as advanced age, male gender, elevated systolic and diastolic blood pressures, high blood sugar, elevated triglycerides, reduced LDL-C, elevated HDL-C, higher Cardiometabolic Index, Triglyceride-glucose index, and components linked to abdominal obesity. Pearson correlation analysis showed strong positive correlations between waist circumference/height ratio, waist circumference, Cardiometabolic Index, and triglycerides. Weak positive correlations were observed between LDL-C, body mass index, and Cardiometabolic index, while a strong negative correlation was found between Cardiometabolic Index and HDL-C. ROC analysis indicated that the Cardiometabolic Index(CMI), Triglyceride-glucose(TyG) index, and waist circumference demonstrated the highest Area Under the Curve(AUC) values, indicating their efficacy in diagnosing metabolic syndrome. Optimal cut-off values were determined as >1.34, >8.86, and >84.5 for the Cardiometabolic Index, Triglyceride-glucose index, and waist circumference, respectively. Logistic regression analysis revealed significant differences for age(p=0.037), waist circumference(p<0.001), systolic blood pressure(p<0.001), triglycerides(p<0.001), LDL-C(p=0.028), fasting blood sugar(p<0.001), Cardiometabolic Index(p<0.001), and Triglyceride-glucose index (p<0.001). The odds ratios for these variables were 1.015, 1.179, 1.090, 3.03, and 69.16, respectively. In conclusion, the Cardiometabolic Index and Triglyceride-glucose index are robust predictive indicators closely associated with metabolic syndrome diagnosis, and waist circumference is identified as an excellent predictor. Integrating these variables into clinical practice holds the potential for enhancing early diagnosis and prevention of metabolic syndrome.

• Journal of The Korean Association For Science Education
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• v.44 no.3
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• pp.231-248
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• 2024

This study developed a chatbot for first-year high school students, employing open-source software and the Korean Sentence-BERT model for AI-powered document classification. The chatbot utilizes the Sentence-BERT model to find the six most similar Q&A pairs to a student's query and presents them in a carousel format. The initial dataset, built from online resources, was refined and expanded based on student feedback and usability throughout over the operational period. By the end of the 2023 academic year, the chatbot integrated a total of 30,819 datasets and recorded 3,457 student interactions. Analysis revealed students' inclination to use the chatbot when prompted by teachers during classes and primarily during self-study sessions after school, with an average of 2.1 to 2.2 inquiries per session, mostly via mobile phones. Text mining identified student input terms encompassing not only science-related queries but also aspects of school life such as assessment scope. Topic modeling using BERTopic, based on Sentence-BERT, categorized 88% of student questions into 35 topics, shedding light on common student interests. A year-end survey confirmed the efficacy of the carousel format and the chatbot's role in addressing curiosities beyond integrated science learning objectives. This study underscores the importance of developing chatbots tailored for student use in public education and highlights their educational potential through long-term usage analysis.

• Food Science and Preservation
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• v.30 no.4
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• pp.716-728
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• 2023

The anti-adipogenic activity of Glycyrrhiza uralensis was investigated by examining the effects of its ethanol extract (GUE) on a mouse model with a high-fat diet (HFD) and 3T3-L1 preadipocytes during adipocyte differentiation. GUE administration for eight weeks significantly reduced weight gain in mice fed an HFD. GUE effectively inhibited 3T3-L1 preadipocyte differentiation and lipid droplet accumulation. This inhibitory effect is associated with the downregulation of key adipogenic regulators, including PPARγ and C/EBPα, and the modulation of adipose metabolism regulators, such as Fasn and Fabp4. LC-Q-TOF-MS analysis identified twelve phenolic and flavonoid compounds, including liquiritigenin and licorice saponin, in the GUE. These findings demonstrate that the anti-obesity effect of the GUE is attributed to the biological activity of its phenolic and flavonoid compounds. Therefore, the GUE has potential anti-obesity activity. Moreover, further studies on the isolation of bioactive components from the GUE and the investigation of the underlying molecular mechanisms of the GUE are required to establish its efficacy in metabolic disorders, including obesity.