• Title/Summary/Keyword: 조영

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Effect of Oil in Water Nanoemulsion Containing a Mixture of Lactic Acid and Gluconolactone for Skin Barrier Improvement (유산 및 글루코노락톤 혼합물을 함유하는 수중유형 나노에멀젼의 피부장벽개선 효과)

  • Ji-Hye Hong;Young Duck Choi;Gye Won Lee;Young Ho Cho
    • Journal of Life Science
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    • v.33 no.11
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    • pp.905-914
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    • 2023
  • To evaluate the effectiveness of the skin barrier improvement of lactic acid (LA) and gluconolactone (GL), the expression of filaggrin, loricrin, hyaluronic acid (HA), hyaluronan syhthase-2 (HAS2), and aquaporine-3 (AQP3) in keratinocytes, and the moisture content and transepidermal water loss (TEWL) by clinical trials were evaluated. The expression levels of filaggrin and locricrin, which are the main factors affecting the proper functioning of skin barrier function, and HA, HAS2, and AQP3, which are skin moisturizing-related proteins measured by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. The results showed that the expression levels of the factors that decreased by H2O2 treatment were significantly increased by LA, GL, and a mixture of LA and GL at the mRNA and protein levels (p<0.05). The nanoemulsion containing a mixture of LA and GL was prepared using the emulsion inversion method, and the average particle size was 299.9 ± 0.287 nm. After measuring the TEWL of nanoemulsion using Vapometer, it was found that TEWL significantly decreased by 15.53% and 26.73% after two weeks and four weeks of product use, respectively, compared to TEWL before product use (p<0.001). Similarly, the skin moisture content of the nanoemulsion significantly increased by 15.40% and 26.59% after two weeks and four weeks of product use, respectively, compared to skin moisture content before product use (p<0.001). Therefore, the skin barrier function and moisturizing effect of a mixture of LA and GL are shown by increasing the moisture content and decreasing the TEWL by increasing the expression of filaggrin, loricrin, HA, HAS2, and AQP3. This suggests the possibility for the development of functional cosmetic ingredients in the future.

GOCI-II Based Low Sea Surface Salinity and Hourly Variation by Typhoon Hinnamnor (GOCI-II 기반 저염분수 산출과 태풍 힌남노에 의한 시간별 염분 변화)

  • So-Hyun Kim;Dae-Won Kim;Young-Heon Jo
    • Korean Journal of Remote Sensing
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    • v.39 no.6_2
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    • pp.1605-1613
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    • 2023
  • The physical properties of the ocean interior are determined by temperature and salinity. To observe them, we rely on satellite observations for broad regions of oceans. However, the satellite for salinity measurement, Soil Moisture Active Passive (SMAP), has low temporal and spatial resolutions; thus, more is needed to resolve the fast-changing coastal environment. To overcome these limitations, the algorithm to use the Geostationary Ocean Color Imager-II (GOCI-II) of the Geo-Kompsat-2B (GK-2B) was developed as the inputs for a Multi-layer Perceptron Neural Network (MPNN). The result shows that coefficient of determination (R2), root mean square error (RMSE), and relative root mean square error (RRMSE) between GOCI-II based sea surface salinity (SSS) (GOCI-II SSS) and SMAP was 0.94, 0.58 psu, and 1.87%, respectively. Furthermore, the spatial variation of GOCI-II SSS was also very uniform, with over 0.8 of R2 and less than 1 psu of RMSE. In addition, GOCI-II SSS was also compared with SSS of Ieodo Ocean Research Station (I-ORS), suggesting that the result was slightly low, which was further analyzed for the following reasons. We further illustrated the valuable information of high spatial and temporal variation of GOCI-II SSS to analyze SSS variation by the 11th typhoon, Hinnamnor, in 2022. We used the mean and standard deviation (STD) of one day of GOCI-II SSS, revealing the high spatial and temporal changes. Thus, this study will shed light on the research for monitoring the highly changing marine environment.

Comparison between Uncertainties of Cultivar Parameter Estimates Obtained Using Error Calculation Methods for Forage Rice Cultivars (오차 계산 방식에 따른 사료용 벼 품종의 품종모수 추정치 불확도 비교)

  • Young Sang Joh;Shinwoo Hyun;Kwang Soo Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.3
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    • pp.129-141
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    • 2023
  • Crop models have been used to predict yield under diverse environmental and cultivation conditions, which can be used to support decisions on the management of forage crop. Cultivar parameters are one of required inputs to crop models in order to represent genetic properties for a given forage cultivar. The objectives of this study were to compare calibration and ensemble approaches in order to minimize the uncertainty of crop yield estimates using the SIMPLE crop model. Cultivar parameters were calibrated using Log-likelihood (LL) and Generic Composite Similarity Measure (GCSM) as an objective function for Metropolis-Hastings (MH) algorithm. In total, 20 sets of cultivar parameters were generated for each method. Two types of ensemble approach. First type of ensemble approach was the average of model outputs (Eem), using individual parameters. The second ensemble approach was model output (Epm) of cultivar parameter obtained by averaging given 20 sets of parameters. Comparison was done for each cultivar and for each error calculation methods. 'Jowoo' and 'Yeongwoo', which are forage rice cultivars used in Korea, were subject to the parameter calibration. Yield data were obtained from experiment fields at Suwon, Jeonju, Naju and I ksan. Data for 2013, 2014 and 2016 were used for parameter calibration. For validation, yield data reported from 2016 to 2018 at Suwon was used. Initial calibration indicated that genetic coefficients obtained by LL were distributed in a narrower range than coefficients obtained by GCSM. A two-sample t-test was performed to compare between different methods of ensemble approaches and no significant difference was found between them. Uncertainty of GCSM can be neutralized by adjusting the acceptance probability. The other ensemble method (Epm) indicates that the uncertainty can be reduced with less computation using ensemble approach.

A Study of Su Shi(蘇軾)'s Philosophy and Garden Management - A Basic Study Focused on Baiheju(白鶴居) - (소식의 사상과 원림 경영 연구 - 백학거를 중심으로 한 기초 연구 -)

  • Shin, Hyun-Sil
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.41 no.4
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    • pp.21-29
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    • 2023
  • The Northern Song Dynasty, the heyday of cultural and artistic achievements, brought significant changes to the history of gardens in China. The developments and contemplations that had evolved during the previous Tang Dynasty became intertwined with literature, painting, and art, leading to garden being perceived as works of art. In particular, the emergence of Su Shi(蘇軾) that permeated literature and art during the Northern Song Dynasty, had an impact beyond individual garden creation, influencing the development of public gardens and the diversification of garden. His long exile periods served as an opportunity to understand and reflect the local culture and characteristics, influencing the development of the garden. This study focuses on the ideology of Su Shi(蘇軾) that managed various gardens, examining the relationship between his exlie life and ideology. To do so, the study examines the form of the literati's gardens managed by Su Shi(蘇軾), with a particular emphasis on the Baiheju(白鶴居) garden in Huizhou, revealing the following characteristics and values. First, Su Shi(蘇軾), who was proficient in the Three Houses: Confucianism, Buddhism, and Taoism, combined his philosophy and unique perspective techniques with the location and composition elements of Baiheju(白鶴居) to enjoy the landscape. Although the ancient residence has a simple form, it possesses expansiveness through the combination of internal and external views. The interior is designed to be perceived as a single space, but it allows overlapping experiences of space and simultaneous appreciation of different sceneries. On the other hand, the spatial layout incorporates a hierarchical order to establish a sense of order. Second, the garden reflects the local characteristics, featuring numerous tropical plants and presenting vibrant and contrasting colors with structures. The planting forms embrace the concept of "huosei seikou" (活色生香) to enhance the color harmoniously. Additionally, the garden incorporates the poet's spiritual world, projecting it onto the garden as a contemplative place for spiritual nourishment and exploration of the ideal realm. For the pursuit of serenity and profound contemplation, the selected plantings are simple yet distinctive, providing rhythm and depth to the garden space. Third, Baiheju(白鶴居) has undergone changes over the years, but fundamentally, the form and elements of the garden shaped by Su Shi(蘇軾)'s descendants persist, confirming its heritage value.

The Correction Effect of Motion Artifacts in PET/CT Image using System (PET/CT 검사 시 움직임 보정 기법의 유용성 평가)

  • Yeong-Hak Jo;Se-Jong Yoo;Seok-Hwan Bae;Jong-Ryul Seon;Seong-Ho Kim;Won-Jeong Lee
    • Journal of the Korean Society of Radiology
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    • v.18 no.1
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    • pp.45-52
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    • 2024
  • In this study, an AI-based algorithm was developed to prevent image quality deterioration and reading errors due to patient movement in PET/CT examinations that use radioisotopes in medical institutions to test cancer and other diseases. Using the Mothion Free software developed using, we checked the degree of correction of movement due to breathing, evaluated its usefulness, and conducted a study for clinical application. The experimental method was to use an RPM Phantom to inject the radioisotope 18F-FDG into a vacuum vial and a sphere of a NEMA IEC body Phantom of different sizes, and to produce images by directing the movement of the radioisotope into a moving lesion during respiration. The vacuum vial had different degrees of movement at different positions, and the spheres of the NEMA IEC body Phantom of different sizes produced different sizes of lesions. Through the acquired images, the lesion volume, maximum SUV, and average SUV were each measured to quantitatively evaluate the degree of motion correction by Motion Free. The average SUV of vacuum vial A, with a large degree of movement, was reduced by 23.36 %, and the error rate of vacuum vial B, with a small degree of movement, was reduced by 29.3 %. The average SUV error rate at the sphere 37mm and 22mm of the NEMA IEC body Phantom was reduced by 29.3 % and 26.51 %, respectively. The average error rate of the four measurements from which the error rate was calculated decreased by 30.03 %, indicating a more accurate average SUV value. In this study, only two-dimensional movements could be produced, so in order to obtain more accurate data, a Phantom that can embody the actual breathing movement of the human body was used, and if the diversity of the range of movement was configured, a more accurate evaluation of usability could be made.

Study on data preprocessing methods for considering snow accumulation and snow melt in dam inflow prediction using machine learning & deep learning models (머신러닝&딥러닝 모델을 활용한 댐 일유입량 예측시 융적설을 고려하기 위한 데이터 전처리에 대한 방법 연구)

  • Jo, Youngsik;Jung, Kwansue
    • Journal of Korea Water Resources Association
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    • v.57 no.1
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    • pp.35-44
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    • 2024
  • Research in dam inflow prediction has actively explored the utilization of data-driven machine learning and deep learning (ML&DL) tools across diverse domains. Enhancing not just the inherent model performance but also accounting for model characteristics and preprocessing data are crucial elements for precise dam inflow prediction. Particularly, existing rainfall data, derived from snowfall amounts through heating facilities, introduces distortions in the correlation between snow accumulation and rainfall, especially in dam basins influenced by snow accumulation, such as Soyang Dam. This study focuses on the preprocessing of rainfall data essential for the application of ML&DL models in predicting dam inflow in basins affected by snow accumulation. This is vital to address phenomena like reduced outflow during winter due to low snowfall and increased outflow during spring despite minimal or no rain, both of which are physical occurrences. Three machine learning models (SVM, RF, LGBM) and two deep learning models (LSTM, TCN) were built by combining rainfall and inflow series. With optimal hyperparameter tuning, the appropriate model was selected, resulting in a high level of predictive performance with NSE ranging from 0.842 to 0.894. Moreover, to generate rainfall correction data considering snow accumulation, a simulated snow accumulation algorithm was developed. Applying this correction to machine learning and deep learning models yielded NSE values ranging from 0.841 to 0.896, indicating a similarly high level of predictive performance compared to the pre-snow accumulation application. Notably, during the snow accumulation period, adjusting rainfall during the training phase was observed to lead to a more accurate simulation of observed inflow when predicted. This underscores the importance of thoughtful data preprocessing, taking into account physical factors such as snowfall and snowmelt, in constructing data models.

Study on the Possibility of Estimating Surface Soil Moisture Using Sentinel-1 SAR Satellite Imagery Based on Google Earth Engine (Google Earth Engine 기반 Sentinel-1 SAR 위성영상을 이용한 지표 토양수분량 산정 가능성에 관한 연구)

  • Younghyun Cho
    • Korean Journal of Remote Sensing
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    • v.40 no.2
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    • pp.229-241
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    • 2024
  • With the advancement of big data processing technology using cloud platforms, access, processing, and analysis of large-volume data such as satellite imagery have recently been significantly improved. In this study, the Change Detection Method, a relatively simple technique for retrieving soil moisture, was applied to the backscattering coefficient values of pre-processed Sentinel-1 synthetic aperture radar (SAR) satellite imagery product based on Google Earth Engine (GEE), one of those platforms, to estimate the surface soil moisture for six observatories within the Yongdam Dam watershed in South Korea for the period of 2015 to 2023, as well as the watershed average. Subsequently, a correlation analysis was conducted between the estimated values and actual measurements, along with an examination of the applicability of GEE. The results revealed that the surface soil moisture estimated for small areas within the soil moisture observatories of the watershed exhibited low correlations ranging from 0.1 to 0.3 for both VH and VV polarizations, likely due to the inherent measurement accuracy of the SAR satellite imagery and variations in data characteristics. However, the surface soil moisture average, which was derived by extracting the average SAR backscattering coefficient values for the entire watershed area and applying moving averages to mitigate data uncertainties and variability, exhibited significantly improved results at the level of 0.5. The results obtained from estimating soil moisture using GEE demonstrate its utility despite limitations in directly conducting desired analyses due to preprocessed SAR data. However, the efficient processing of extensive satellite imagery data allows for the estimation and evaluation of soil moisture over broad ranges, such as long-term watershed averages. This highlights the effectiveness of GEE in handling vast satellite imagery datasets to assess soil moisture. Based on this, it is anticipated that GEE can be effectively utilized to assess long-term variations of soil moisture average in major dam watersheds, in conjunction with soil moisture observation data from various locations across the country in the future.

Anti-oxidation, anti-inflammation, anti-wrinkle, and pore-tightening effects of phenolic compounds from Aeonium sedifolium leaves (소인제(Aeonium sedifolium) 잎 유래 phenolic 성분의 항산화, 피부주름생성 억제, 항염증 및 모공 수축 효과)

  • Jung-In Kim;Min-Jae Kim;Ha-Gyeong Jo;Da-Eun Jeong;Hye-Jin Park;Young-Je Cho
    • Food Science and Preservation
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    • v.30 no.2
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    • pp.347-357
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    • 2023
  • The succulent plant Aeonium sedifolium leaves contain several compounds that are of interest for their cosmetic uses on the skin. This study measured the inhibitory effects of enzyme production and antioxidant, astringent effects and skin wrinkles using Aeonium sedifolium leaves (ASL). The total phenolics compounds (TPC) content of ASL under optimal extraction conditions was 34.49 mg/g for hot water extract (ASLW) and 61.64 mg/g for 50% ethanol extract (ASLE). The ASLW and ASLE extracts were freeze-dried, powdered, and used as solids. TPC content, 2,2-diphenyl-1-picrylhydrazy (DPPH) radical scavenging activity, and 2,2'-azinobis (3-ethylben-zothiazoline 6-sulfonate) (ABTS) radical inhibition of the ASL phenolics were tested. The DPPH radical scavenging activities of ASLW and ASLE were tested at a TPC of 100 ㎍/mL. ABTS radical inhibition showed antioxidant activity of 100.00% in ASLW and ASLE, and the antioxidant protection factor of ASLW and ASLE was 1.07 and 1.22, respectively. The thiobarbituric acid-reactive substance (TBARS) inhibitory activity of ASLW and ASLE was 77.00%. The elastase inhibitory activity of ASLE was 69.03%, and collagenase inhibition activity for ASLW and ASLE was 29.82% and 54.76%, respectively. The astringent effect of ASLE was 89.82% at a TPC of 200 ㎍/mL. Thus, we concluded that ASL has the potential as a functional cosmetic ingredient with anti-aging effects on the skin.

Effects of 1-methylcyclopropene (1-MCP) treatment on the maintenance of fruit quality of RubyS apples during cold storage ('루비에스' 사과의 저온저장 중 과실품질 유지를 위한 1-methylcyclopropene 처리 효과)

  • Jingi Yoo;Hwajong Yoo;Nay Myo Win;Hee-Young Jung;Young-Je Cho;In-Kyu Kang
    • Food Science and Preservation
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    • v.30 no.1
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    • pp.78-87
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    • 2023
  • This study was conducted to evaluate the effect of different 1-methylcyclopropene (1-MCP) concentrations on fruit quality of small-sized RubyS apples during cold storage. After harvesting, the fruits were treated with 1-MCP at 0.5 or 1 µL/L concentrations and, subsequently, stored at 0℃ for 6 months. After 6 months, the flesh firmness of untreated fruits, which was 85.4 N at harvest, had gradually decreased to 46.5 N; however, that of 1-MCP-treated fruits was maintained at 59.1 and 59.5 N. Titratable acidity (TA) of untreated fruits had also decreased from 0.42 to 0.24%, whereas that of 1-MCP-treated fruits was maintained at 0.26 and 0.27%. Soluble solids content (SSC) did not differ in all fruits. However, the 1-MCP-treated fruits had lower levels of SSC/TA ratio than untreated fruits. Moreover, after 6 months, the ethylene production had increased to 47.0 µL/kg/h in the untreated fruits, whereas 1-MCP blocked the ethylene production at 1.4 and 1.7 µL/kg/h. The weight loss and peel color variables remained unaffected by 1-MCP treatments. Thus, these results indicated that, for RubyS apples, the storability was only 2 months at 0℃ without treatment, which can be extended to 6 months with 1-MCP treatments. The application of 1-MCP at 0.5 µL/L concentration is effectively and economically sufficient to maintain the quality of RubyS apples.

Effects on antioxidant, whitening, and anti-wrinkle improvement of ethanol extracts from fermented Trigonotis radicans var. sericea by Lactobacillus brevis (Lactobacillus brevis 발효가 참꽃마리(Trigonotis radicans var. sericea) 에탄올 추출물의 항산화, 미백 및 주름 개선 활성에 미치는 영향)

  • Da-Eun Jeong;Ji-Hye Kim;Byung-Oh Kim;Young-Je Cho
    • Food Science and Preservation
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    • v.31 no.1
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    • pp.173-182
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    • 2024
  • This study was designed to compare the effects on antioxidant, whitening, and anti-wrinkle improvement of 60% ethanol extracts from Trigonotis radicans var. sericea (TR) and Lactobacillus brevis-fermented T. radicans var. sericea (FTR). The total phenolics contents of TR was 18.6 mg/g, and FTR was 18.2 mg/g. The HPLC analysis confirmed more phenolic compounds were produced in FTR by bioconversion than in TR. The FTR showed higher 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity than TR. The results of the 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical cation decolorization assay, FTR and TR showed higher activity than BHT (positive control). The FTR (1.21-1.29 PF) showed higher antioxidant protection factor (PF) activity than the TR (1.15-1.22 PF) and showed higher tyrosinase, collagenase and elastase inhibitory activities. This results showed L. brevis -fermentation of Trigonotis radicans var. sericea changed the composition profile and has effects on antioxidant, whitening and anti-wrinkle improvement.