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A functional properties of apple blossoms by variety as a cosmetic material
Heechul Kim,Eunbee Lee,Songhyeon Kim,Eungyeong Lee,Jeongmin Yun,Seonjeong Kim,Changil Lee 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
This study investigated whether apple blossoms are functional as a cosmetic material. In this study, Crap apple, Hong-ro, Summer king, and Fuji varieties were used as samples. For each sample, general component analysis and functional tests were conducted, and total phenol contents, DPPH, ABTS, and PF tests were performed to find out antioxidant activity as functional tests. As a result of analyzing the general components of apple blossom, crude carbohydrates were 8.321∼11.425%, crude protein was 3.919∼4.724%, crude fat was 2.902∼3.430%, crude ash was 1.141∼1.218%, and moisture was 79.959∼83.112%. DPPH is 3.25% (25 μg/mL), 6.48% (50 μg/mL), 13.54% (100 μg/mL), ABTS is 10.77% (25 μg/mL), 23.16% (50 μg/mL), 45.60% (100 μg/mL), Crap apple showed the highest antioxidant activity. Also, the total phenol content was 173 mgGAE/g, which was the highest in the Crap apple sample. However, there was no significant difference in the PF values indicating the fat-soluble antioxidant activity among apple blossom varieties.
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자연 모사 납작 물고기 소프트로봇을 이용한 모래에 숨는 기술에 대한 연구
정송현(Songhyeon Chung),류준일(Junil Ryu),김형수(Hyoungsoo Kim) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11
We experimentally investigated burial motion mechanisms of a flat fish on a sand bed. Here, we assumed that the influence of the flexural rigidity could be the major parameter for the hiding. We developed a model that mimics the flapping motion of the flatfish when hiding in the sand. The surrounding flow was observed by using particle image velocimetry (PIV). The flapping model generated counterclockwise vortices, some of which aided particle transport and burial. The experimental results showed an inverse proportionality between flexural rigidity and physical elements of the flow. Lower flexural rigidity resulted in faster flow velocity and stronger vorticity.
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다항 로지스틱회귀모형을 활용한 도시환경이 비만에 미치는 영향에 관한 연구
신송현(SHIN, Songhyeon),구자헌(KOO, Jahun),김수재(KIM, Sujae),추상호(CHOO, Sangho) 대한교통학회 2022 대한교통학회지 Vol.40 No.5
최근 친환경적이며 지속가능한 도시 설계를 위한 연구들이 활발히 진행되고 있다. 이러한 상황 속에서, 제안된 건강도시 이론은 지역의 도시환경과 개인의 건강수준 간의 관계를 기반으로 도시적 차원에서 시민들의 건강을 증진시키고자 하는 이론이다. 이에 본 연구에서는 최근 3개년 간의 지역사회건강조사자료를 활용하여 도시환경이 개인의 건강수준에 미치는 영향 분석을 통해 건강도시 설계에 기여하고자 하였다. 체질량 지수를 활용하여 개인의 건강수준을 저체중, 정상, 비만으로 분류하였으며, 다항 로지스틱회귀모형을 활용하여 정상을 기준으로 저체중과 비만에 미치는 영향요인들을 분석하였다. 주요 분석 결과, 자동차 운전자, 오토바이 운전자인 경우 정상에 비해 비만일 가능성이 높게 나타났으며, 공원 면적비율, 공공체육시설 면적비율이 높은 지역에 거주할수록 비만일 가능성이 낮게 나타났다. 또한, 대중교통 이용량이 많은 지역에 거주할수록 비만일 가능성이 낮게, 공공자전거 서비스 지역에 거주하는 경우, 공유 PM 서비스 지역에 거주하는 경우 비만일 가능성이 낮게 나타났다. 나아가, 장래 건강도시 평가지표로 활용하기 위해 도출된 영향요인들을 활용하여 개인의 건강수준을 예측하였다. 이를 위해 다항 로지스틱회귀모형과 더불어 최근 분류문제에 널리 활용되고 있는 DNN(Deep Neural Network) 알고리즘을 활용하였다. 그리고 두 방법론을 비교 및 평가하기 위해 Confusion Matrix를 활용하여 평가지표를 산출하였다. 분석결과, DNN 모델의 성능이 다항 로지스틱회귀모형에 비해 우수한 것으로 나타났으며 특히, 비만 예측의 정밀도가 크게 우수한 것으로 나타났다. 이러한 결과는 영향요인을 고려한 건강도시 설계의 기초자료로 활용될 수 있을 것이며, 개인의 건강수준 예측을 통한 비만인구 예측으로 건강도시 설계 시 평가지표로 활용될 수 있을 것으로 기대된다. Recently, research for eco-friendly and sustainable city design has been actively attempted. In this situation, the health city theory based on the relationship between the built environment and individual health levels has been proposed to improve the resident’s health at the urban level. In this regard, we aimed to identify the relationship between the built environment and individual health levels by using community health survey data from 2018 to 2020. The individual health level was classified under three categories: low weight, normal, and obesity using BMI (Body Mass Index). Then we tried to investigate how the built environment and individual factors affect individual health levels using multinomial logistic regression. As a main result of the analysis, it was found that car drivers and motorcycle drivers were more likely to be obese than normal weight. The higher the proportion of park and public sports facilities, the lower likely to be obese. In addition, the higher volume of public transit, availability of sharing bike and sharing PM (Personal Mobility) services were significantly inversely associated with obesity. Furthermore, using these factors we predicted the individual health level to use as an evaluation index for health city. To this end, DNN (Deep Neural Network) algorithm, which is widely used in classification problems recently, and the multinomial logistic regression were performed. These two methods were compared by calculating the evaluation using the Confusion Matrix. The performance of the DNN model was found to be superior to that of the multinomial logistic regression model, particularly in the precision of obesity prediction. These findings can be used as basic data and evaluation index when designing a health city through the prediction of the individual health levels and obesity population.
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Yeojin Lee,Songhyeon Je,Hae‑Rim Kim,Jae Kyung Lee,Euna Choi,Jin Kyung Baek,Heeyon Kim,Bo Hyon Yun,Seok Kyo Seo 대한폐경학회 2023 대한폐경학회지 Vol.29 No.2
Objectives: This study used the Korean National Health and Nutrition Examination Survey (KNHANES) to determine the association between fractures and low muscle mass.Methods: This cross-sectional study used the 2010–2011 KNHANES data. Low muscle mass was defined as (appendicular skeletal muscle mass [kg]/Height2 [m2]) < 5.45 kg/m2, which is < 2 SD below the sex-specific mean of a young reference group. Patients with T-scores between –1.0 and –2.5 indicated osteopenia, whereas those with T-scores lower than –2.5 indicated osteoporosis.Results: Out of 1,306 women enrolled in the study, 330 were diagnosed with low muscle mass according to the abovementioned diagnostic criterion. The prevalence of fractures at various sites was significantly higher in postmenopausal women with low muscle mass than in those without low muscle mass (relative risk [RR], 1.64; odds ratio [OR], 1.62; 95% confidence interval [CI], 1.06–2.48; P = 0.027). Furthermore, the prevalence of fractures was increased by the presence of osteopenia or osteoporosis in addition to low muscle mass (RR, 1.59; OR, 1.60; 95% CI, 1.02–2.49; P = 0.039) and by osteoporosis only (RR, 2.12; OR, 2.29; 95% CI, 1.11–4.70; P = 0.025).Conclusions: Fracture was more prevalent in postmenopausal women with low muscle mass than in those without low muscle mass. This finding is consistent in a subgroup analysis that included women who had osteoporosis or osteopenia. Moreover, the risk of fractures increased as low muscle mass worsened.
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