• Journal of Life Science
• /
• v.33 no.2
• /
• pp.115-128
• /
• 2023

The fruit of Vaccinum oldhami was separated and purified to obtain the compounds chlorogenic acid (CA), quercetin (QT), and quercitrin (QR). The electron-donating abilities of CA, QT, and QR at 1,000 ㎍/ml were 91.9%, 89.9%, and 77.4%, respectively QT and QR showed 99.5% and 91.4% ABTS⁺ radical scavenging ability at a 1,000 ㎍/ml concentration, respectively, and CA showed a 95% ability or higher at 100 ㎍/ml. Regarding tyrosinase inhibitory activity, CA, QT, and QR exhibited 29.5%, 34.7%, and 23.7% efficacy, respectively, at 1,000 ㎍/ml. Regarding the cell viability for melanoma cells (B16F10) assessed through MTT assay, CA, QT, and QR showed cell a viability of 80% or more at 100 ㎍/ml. To measure the deterrent of protein expression, CA affected TRP-1 and TRP-2 in accordance with increases in concentration. The protein expression inhibition rate of QT was excellent for TRP-1, TRP-2, and tyrosinase. CA was confirmed to have an excellent mRNA expression inhibitory effect against MITF, and the amount of mRNA expression of TRP-1, TRP-2, and tyrosinase decreased with an increase in the CA concentration. As the concentration of QT increased, the mRNA expression of MITF, TRP-2, and tyrosinase decreased. QR decreased the amount of mRNA as the QR concentration increased. The excellent antioxidant and whitening effects of CA, QT, and QR were thus confirmed.

• Journal of Service Research and Studies
• /
• v.13 no.3
• /
• pp.70-81
• /
• 2023

The choice of business method is a necessary decision at the last moment of life, and to this end, we use several criteria. Our funeral methods were dominated by ancestral worship culture and religion, not nature. It is only recently that nature was used as a means from a human perspective, but natural field methods such as consideration for nature and symbiosis with nature have emerged. The recent high public preference for natural fields is today's strong zeitgeist and nature-friendly values. Based on statistics in 2021, Korea's national cremation rate exceeded 92%, and compared to less than 20% of the cremation rate just 20 years ago, our business method has changed rapidly. As the cremation promotion movement and government policies, which began in the early 90s, were systematically developed, the enshrinement facility was established next to us. However, while this was also subject to criticism of national damage, the Jang Act called natural field was introduced into the system in 2008, and about 15 years have passed, but the revitalization of natural field is slower than expected. One of the reasons for the stagnation of development is to forget the basic spirit of the natural field (once you return to the forest), and to think like a graveyard grave. Accordingly, this study aims to identify the background of the introduction and current operation of natural fields and present development measures to improve memorial services to make natural fields loved by the people.

• International journal of advanced smart convergence
• /
• v.12 no.3
• /
• pp.89-103
• /
• 2023

Obstructive sleep apnea (OSA) is one of the most prevalent sleep disorders that can lead to serious consequences, including hypertension and/or cardiovascular diseases, if not treated promptly. Continuous positive airway pressure (CPAP) is widely recognized as the most effective treatment for OSA, which needs the proper titration of airway pressure to achieve the most effective treatment results. However, the process of CPAP titration can be time-consuming and cumbersome. There is a growing importance in predicting personalized CPAP pressure before CPAP treatment. The primary objective of this study was to optimize the CPAP titration process for obstructive sleep apnea patients through EEG feature engineering with machine learning techniques. We aimed to identify and utilize the most critical EEG features to forecast key OSA predictive indicators, ultimately facilitating more precise and personalized CPAP treatment strategies. Here, we analyzed 126 OSA patients' PSG datasets before and after the CPAP treatment. We extracted 29 EEG features to predict the features that have high importance on the OSA prediction index which are AHI and SpO2 by applying the Shapley Additive exPlanation (SHAP) method. Through extracted EEG features, we confirmed the six EEG features that had high importance in predicting AHI and SpO2 using XGBoost, Support Vector Machine regression, and Random Forest Regression. By utilizing the predictive capabilities of EEG-derived features for AHI and SpO2, we can better understand and evaluate the condition of patients undergoing CPAP treatment. The ability to predict these key indicators accurately provides more immediate insight into the patient's sleep quality and potential disturbances. This not only ensures the efficiency of the diagnostic process but also provides more tailored and effective treatment approach. Consequently, the integration of EEG analysis into the sleep study protocol has the potential to revolutionize sleep diagnostics, offering a time-saving, and ultimately more effective evaluation for patients with sleep-related disorders.

• Journal of Wetlands Research
• /
• v.25 no.3
• /
• pp.196-204
• /
• 2023

Eleutherococcus gracilistylus is a designated rare plant by the Korea Forest Service, a deciduous broad leaf shrub native to the Gotjawal region, Jejudo. This study aimed to analyze the growth responses of E. gracilistylus to three environment factors such as light, moisture, and organic matter, and measure its ecological niche breadth. Based on these results, an attempt was made to identify suitable environmental conditions. E. gracilistylus exhibited increased above-ground length, leaf area, and plant leaf weight under intermediate conditions of light availability(L3, 50% of natural light), rather than very high or very low light conditions. Moisture availability and organic matter availability showed variations in growth responses in terms of leaf count and plant leaf weight. Under moisture availability, growth was favorable under or below intermediate conditions (M3, 240ml), while under organic matter availability, growth response was better above intermediate conditions (N3, 12%). Ecological niche breadth showed in the light factor(0.951), the moisture factor(0.977), and the organic matter content one(0.964). These results indicate that the preferred habitat of E. gracilistylus is somewhat shady, slightly dry, and has a lot of nutrients, and that the environmental factor that has the greatest impact on growth is the amount of light, which is considered to be a priority consideration for habitat management in its native area.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.26 no.1
• /
• pp.41-55
• /
• 2023

Urban parks create the natural landscape of the city and offer a space for city residents to stay healthy and take a rest. They are also urban facilities designed to improve city dwellers' emotional aspects. Currently, urban parks need qualitative management as well as quantitative supply due to changes in the national land and urban policy paradigm, and a shift in perspective to consumer-centeredness is needed. In this study, the service levels of urban parks for citizen were evaluated: (1) quantitative supply adequacy was analyzed based on the urban population, and (2) the qualitative evaluation of the parks were conducted. Based on the evaluation, the appropriateness of the arrangement of urban parks is judged by comprehensively analyzing the quantitative and qualitative aspects. As a result of the evaluation of service levels of urban parks, the highest serviced urban parks were found in urban housing development sites and recently established parks. In addition, it was found that the recently created parks improved the qualities of the parks by installing various facilities. If the quantitative and qualitative aspects of urban park service supply are comprehensively analyzed and applied through this research method, it will be a more effective park and green space plan.

• Journal of Life Science
• /
• v.32 no.3
• /
• pp.222-231
• /
• 2022

This study aimed to confirm the possibility of being used as a cosmetic material material through the verification of the whitening and anti-inflammatory activities of an ethyl acetate fraction from Glechoma hederacea var. longituba (GHEA). The observed electron donating and ABTS⁺ radical scavenging abilities of GHEA were 89.6% and 88.7%, respectively, at 1,000 ㎍/ml concentration, with a tyrosinase inhibitory effect of 22.3% at the same concentration. For cell viability, a rate of 80% or more was observed in all concentrations that treated GHEA on melanoma and macrophage cells. Protein and mRNA expression inhibition was measured by Western blot and RT-PCR for 25, 50, and 100 ㎍/ ml concentrations, and it was confirmed that expression decreases in a concentration-dependent manner as GHEA concentration increases. The inhibition of the whitening-related factors MITF and TRP-2 were superior following GHEA treatment than those of the control group treated with kojic acid of 100 ㎍/ml concentration. For tyrosinase, the lowest mRNA expression rate was 29.1% at 100 ㎍/ml which confirmed excellent inhibition. In analyzing the effects of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α on protein and mRNA expression, IL-6 and TNF-α showed high protein and mRNA inhibition compared to a vitamin C control group. Based on these experimental results, GHEA could be applied as a natural cosmetic material.

• Journal of Korean Society of Rural Planning
• /
• v.28 no.1
• /
• pp.1-15
• /
• 2022

A Care farm is known to have positive effects on various people in psychological, physical, and social aspects. However, care farm services for the disabled, transportation disadvantaged, and socially disadvantaged are limited. This study conducted a demand survey in order to provide basic data for development of the Agro-Healing Virtual Reality Therapy(AVRT) system. The respondents were the ordinary person(n=127) and the disabled person(n=72), and the survey items consisted of 4 categories and 20 items, including intention to use AVRT, requirements for use, factors to be considered when developing the system, and content and program preferences. The intention to use a AVRT was found to be at a high level of 80% or more by respondent characteristics. In addition, similar results were shown in all items such as virtual reality experience, willingness to use, appropriate use time, and willingness to pay by respondent characteristics, and correlation by item was determined through correlation analysis. As for the conditions of use, both sides preferred rural types and were found to have the purpose of healing. However, there were concerns about dizziness in common between system use, and in the case of the disabled person, there were difficulties in purchasing expensive equipment. In the development of the AVRT system, the part of sensory priority, important technology level, and color preference were evaluated, and the preference of content and programs to be developed in the system was identified. Fruit, vegetables, flowers, and animals preferred mandarin, tomato, tulips, and dogs first, horticultural healing preferred harvest management for the ordinary person, plant cultivation for the disabled person, and forest healing and animal education preferred walking and dog-related programs. However, agricultural work was found to be a program with high preference for making processed foods for the ordinary person and creating an animal breeding environment for the disabled person. The result of this study is expected to provide reference data that can be suggested for the development of Agro-healing Virtual Reality Therapy system.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.1
• /
• pp.63-69
• /
• 2023

'Carbon-neutrality Assessment based on Technology Application Scenario (CATAS)' provides an analysis of greenhouse gas (GHG) reduction effectiveness when applying carbon-neutrality technology to areas such as energy conversion, transportation, and buildings at certain spatial levels. As for the development scope of the model, GHG emission sources were analyzed for direct GHG emissions, and the boundary between direct and indirect emissions are set according to the spatial scope. The technical scope included nine technologies and forest sinks in the transition sector that occupies the largest portion of GHG emissions in the 2050 carbon neutral scenario. The carbon neutrality rate evaluation methodology consists of four steps: ① analysis of GHG emissions, ② prediction of energy production according to technology introduction, ③ calculation of GHG reduction, and ④ calculation of carbon neutrality rate. After the web-based CATAS-BASIC was developed, an analysis was conducted by applying the new and renewable energy distribution goals presented in the ｢2050 Greenhouse Gas Reduction Promotion Plan｣ of the Seoul Metropolitan Government. As a result of applying solar power, hydrogen fuel cell, and hydrothermal, the introduction of technology reduced 0.43 million tCO₂eq of 1.49 million tCO₂eq, which is the amount of emissions from the conversion sector in Seoul, and the carbon neutrality rate in the conversion sector was analyzed to be 28.94 %.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.1
• /
• pp.21-32
• /
• 2023

Interrill erosion dominates in forest areas, and the erosion rate in surface-disturbed areas is significantly increased by the development and expansion of rill. In this study, soil erosion experiments using simulated rainfall and inflow were performed to understand the development and the micromorphological changes of rill on steep slopes. The characteristic factors of the micromorphology, such as the rill cross section, rill volume, rill density, rill order, and rill sharpness, were analyzed according to steepness and location (upper or lower) of slope. The head-cut of the simultaneous incised rills by rainfall simulation moved rapidly upslope, and the randomly developed rills expanded deeply and widely with their connection. The rill cross section evolved to downslope gradually increased. The rill volume occupied about 78 % of the sediment volume, confirming that the contribution of the sediment from the rill erosion is greater than that of the interrill erosion. Although the rate of increase in rill order slowed as the slope increased, the total length and density of the rill generally increased. As the slope increased from 15° to 20°, the bed incision of rills became larger than the sidewall expansion, and the rill sharpness increased by 1.6 times. The runoff coefficient on the lower slope decreased by 12.3 % than that on the upper slope. It was evaluated that the subsoil exposures and formation changes by the rill expansion increased the infiltration rate. Although the sediment accompanying the rills generally increased with slope increase, it was directly influenced by the hydraulic velocity of enhanced rill with the local convergence and expansion in the process of the rill evolution.

• The Mathematical Education
• /
• v.61 no.2
• /
• pp.257-271
• /
• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.