• Korean Journal of Radiology
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• 제24권11호
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• pp.1151-1163
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• 2023

Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7-12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343; median age [IQR], 10 [4-15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5-14] years; male: female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion: The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.

• 보험의학회지
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• 제4권1호
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• pp.44-76
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• 1987

Present study was undertaken to establish the modified Broca's indices to estimate standard body weight by using a total of 5,496 insured persons who were medically examined at the Honam Medical Room of Dong Bang Life Insurance Company Ltd. from January, 1983 to January, 1986. The results were as follows: 1. The linear regression equations of body weight to $height^3$ to estimate standard body weight were as follows: In male, for $18{\sim}19$ age group $y=7.272{\times}10^{-6}{\times}x^3+23.560$ for $20{\sim}29$ age group $y=8.187{\times}10^{-6}{\times}x^3+22.031$ for $30{\sim}39$ age group $y=8.627{\times}10^{-6}{\times}x^3+23.169$ for $40{\sim}49$ age group $y=9.561{\times}10^{-6}{\times}x^3+20.994$ for $50{\sim}59$ age group $y=8.604{\times}10^{-6}{\times}x^3+23.081$ and for all ages group $y=7.778{\times}10^{-6}{\times}x^3+25.929$ In female, for $18{\sim}19$ age group $y=8.252{\times}10^{-6}{\times}x^3+18.920$ for $20{\sim}29$ age group $y=7.715{\times}10^{-6}{\times}x^3+22.409$ for $30{\sim}39$ age group $y=8.808{\times}10^{-6}{\times}x^3+21.440$ for $40{\sim}49$ age group $y=9.691{\times}10^{-6}{\times}x^3+21.940$ for $50{\sim}59$ age group $y=12.550{\times}10^{-6}{\times}x^3+11.031$ and for all ages group $y=7.300{\times}10^{-6}{\times}x^3+26.601$ In both sexes, for all ages group $y=8.342{\times}10^{-6}{\times}x^3+22.998$ 2. The modified Broca's index is expressed by formula $\{height(cm)-100\}{\times}K(kg)$. K is obtained from the following formula standard weight to average height estimated $\frac{by\;means\;of\;linear\;regression\;equation(kg)}{\{Average\;height(cm)-100\}{\times}K(kg)}$=1 Author's modified Broca's indices are as follows: In male, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.85(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}0.95(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ and for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.05(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}1.05(kg)$ and for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ In both sexes, for all age group $\{height(cm)-100\}{\times}0.95(kg)$ 3. Several types of modified Broca's index recommended by author are as follows: I. In male, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ II. In male, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ III. In both sexes, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ Note: The first type of modified Broca's index is the most precise one in estimating standard body weight among several types established by author. 4. Error of estimated standard body weight appearing by applying modified Broca's indices is generally greater in short build persons than in tall build persons and is more dominant especially in female group.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2003년도 봄 학술발표대회논문집
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• pp.84-85
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• 2003

• 대한한방소아과학회지
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• 제28권1호
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• pp.43-51
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• 2014

Objectives The purpose of this study is to find out the relationship between mid parental height (MPH), birth weight, current growth condition of children (height, weight, BMI, body fat percentage, bone age) and final height of the future. Methods The study was conducted with 237 children, who were 12 - 14 years old. They were analyzed to find out the relationship between MPH, birth weight, height, current weight, BMI, body fat percentage, bone age and predicted height. Results 1. As MPH was increased, height and predicted height were also increased. As MPHs in girls were increased, 'bone age - chronological age' were decreased. As MPHs in girls were increased, body fat percentages were decreased. 2. As birth weights were increased, height, weight, BMI and body fat percentages were also increased in boys. 3. As body fat percentage was increased, predicted height was decreased. As 'bone age - chronological age' was increased, predicted height was decreased. As BMI was increased, 'bone age - chronological age' was increased. As body fat percentages in boys were increased, heights were decreased. As body fat percentages in girls were increased, 'bone age - chronological age' were increased. Conclusions MPH, birth weight, current growth condition (height, weight, BMI, body fat percentage, bone age) and predicted height are correlated to each other. There are some differences between boys and girls in these relationships.

• 가정과삶의질연구
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• 제27권6호
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• pp.215-227
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• 2009

The subject of this study is a cohort of elderly women who are older than 60 years of age and reside S city in and Jeonnam. The sample size of this study is 386. The statistics used for data analysis were frequency, percentage, mean, standard deviation, reliability, ANOVA, correlation, and multiple regression analysis through the SAS package program. The major study result were as follows. First, the physical satisfaction of elderly women is low, and the life satisfaction of the married group is higher than for the widowed group. Second, according to the results. For the women from the married group, the effect were from economic state, age, and physical satisfaction. There were also significant interaction effects according to economic state$\times$physical satisfaction, age$\times$economic state$\times$physical satisfaction, and age$\times$physical satisfaction. As for women from the widowed group, the effect were from physical satisfaction, economic state, and age. There were also significant interaction effects according to economic state$\times$physical satisfaction, age$\times$physical satisfaction, age$\times$economic state$\times$physical satisfaction, and age$\times$economic state. Fourth, the married group gave significance to life satisfaction, economic state, physical satisfaction, and age. The group of widows gave significance to life satisfaction, physical satisfaction, economic state, and age. The results of this study suggest that we should be concerned about the physical satisfaction of older women and should foster a social atmosphere to establish a positive image of elderly women.

• Journal of Nutrition and Health
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• 제29권5호
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• pp.517-527
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• 1996

The food consumption of 148 healthy infants from 4 to 6 months of age have been measured. Three groups were assigned to change of feeding pattern. Formula group(FF, n=102) were fed formula from birth till 6 months of age. Convert 1 group (C1F, n=14) and Convert 2 group (C2F, n=32) were fed breast milk and mixed milk at 2months of age afterthat switched to formula milk, respectively. All infants received solids (solid foods) from 4 months of age. No significant difference was found in the intake of nutrients among three feeding groups excluding carbohydrate intake of C1F-female at 4 months of age. No significant difference was found in the intake of nutrients among three feeding groups excluding carbohydrate intake of C1F-female at 4 months of age. The FF-female(70.9g/d) and C2F-female(66.9g/d) had significantly higher carbohydrate intake when compared to the C1F-female (54.3g/d). The average total energy intake at 4, 6 months were 648.3 and 709.7kcal/d among all infants. At 4 and 6 months of age, mean intake of nutrients was as follows. Calcium intake was 526.7mg/d and 760.0mg/d at 4 and 6 months of age respectively. Iron intake was 8.3mg/d and 10/5mg/d at 4 and 6 months of age respectively. Calories from solids provided 22.5% of total energy intake at 4 months of age, and nearly 32% at 6 months of age. The average energy and protein intakes of all infants were less than the RDA for calcium and iron at 4, 6 months of age.

• 한국지역지리학회지
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• 제16권5호
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• pp.590-609
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• 2010

본 연구의 목적은 연령별 인구이동의 구조와 공간적 패턴에 대한 이해를 향상시킬 수 있는 다양한 탐색적 공간 데이터 분석(Exploratory Spatial Data Analysis: ESDA) 기법들을 제시하는데 있다. ESDA 기법의 하나로 지역의 연령별 이동성향과 이동구조를 파악하기 위한 도구로 인구이동 피라미드를 고안하였다. 인구이동 피라미드는 연령별 전입, 전출, 순이동 정보를 이용하여 작성되는 그래픽 도구이다. 또한 연령별 인구이동의 공간적 패턴을 파악하기 위하여 다양한 국지적 연관성 측정 지표인 Local Moran's $I_i$, Getis-Ord's ${G_i}^*$와 이를 응용한 AMOEBA 기법을 이용하였다. 사례 분석 결과, 제시한 ESDA 기법들을 이용하여 연령별 인구이동 구조, 연령별 이동의 연관성, 연령별 순이동률의 공간 군집 패턴 등을 확인할 수 있었으며, 연령별 공간 군집 사이의 상응관계를 탐색할 수 있었다. 이러한 정보는 인구이동 현상에 대한 상세한 이해뿐만 아니라 인구이동을 유발하는 지역의 특성을 유추하는데 도움을 준다.

• 암석학회지
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• 제17권2호
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• pp.51-56
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• 2008

옥천변성대 암석의 생성시기는 화석의 발견과 동위원소 연대측정으로 대부분 고생대 및 신원생대인 것으로 밝혀지고 있다. 한편 동위원소 연대자료가 축적됨과 더불어 옥천변성대의 변성시기가 페름기 초기인가 혹은 페름기 말기-트라이아스기 초기인가 하는 문제가 대두되었다. 이 문제는 달리 표현하면 위의 두 시기에 해당하는 2번의 중요한 변성작용이 있었는가 혹은 후자 시기에 해당하는 한번의 변성작용인가 하는 것이다. 변성시기를 직접 지시할 수 있는 자료를 비교할 때 페름기 초기의 변성시기에 대한 자료(석류석 내 U-Pb 갈렴석 연대)는 전체적으로 오차가 클 뿐만 아니라 페름기 말기-트라이아스기 초기를 지시하는 자료(CHIME 갈렴석 연대 및 변성 저콘의 U-Pb 연대)와 어느 정도 중첩된다. 따라서 독립적인 두 종류의 자료에 의해 지지되는 후자가 보다 신빙성이 있는 것으로 생각되며, 이 시기는 임진강대와 경기육괴에서 대륙충돌과 관련되어 나타나는 중요한 변성시기와 유사하기 때문께 대륙충돌의 영향이 한반도 넓은 지역에 퍼져 있음을 시사한다.

• 대한한방소아과학회지
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• 제23권2호
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• pp.145-157
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• 2009

Objectives : The purpose of this study was to examine relationships between bone age and body composition to make efficient clinical reviews on children's growth. Methods : 157 of children in age of 3 years to 16 years old were participated in this study(88 of boys and 69 of girls). They visited the department of pediatrics, OO university oriental hospital and were measured their body composition and bone age. Results : 1. An age and bone age, height, weight, and body mass index were positively correlated, and also a bone age and height, weight, and body mass index were positively correlated. 2. The level of soft lean mass, body fat mass, and MPH were increased in boys in higher height percentile. Children's predicted adult height was higher in children in higher height percentile. 3. The level of body fat mass was increased as weight percentile increased. Bone age, MPH was increased as weight percentile increased, especially in case of boys. In girl's case, the level of soft lean mass, their predicted adult height, the difference between children's bone age and their actual age was increased as weight percentile increased. Conclusions : Measuring bone age and body composition is the effective way to estimate children's growth and development in future.

• Interdisciplinary Bio Central
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• 제4권4호
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• pp.12.1-12.6
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• 2012

The advanced glycation endproducts receptor (AGE-R) is a signal transduction receptor for multiligand such as S100b and AGEs. S100b has been demonstrated to activate various cells with important links to atherosclerosis initiation and progression including endothelial cells, and smooth muscle cells via AGE-R, triggering activation of multiple signaling cascades through its cytoplasmic domain. Many studies have suggested AGE-R might even participate in the cardiovascular complications involved in the pathogenesis of type I diabetes. Recently, Small Ubiquitin-Related Modifier 1 (SURM-1 also known as SUMO-1) has been recognized as a protein that plays an important role in cellular post-translational modifications in a variety of cellular processes, such as transport, transcriptional, apoptosis and stability. Computer Database search with SUMOplot Analysis program identified the five potential SURMylation sites in human AGE-R: K43, K44, K123, and K273 reside within the extracellular domain of AGE-R, and lastly K374 resides with the cytosolic domain of AGE-R. The presence of the consensus yKXE motif in the AGE-R strongly suggests that AGE-R may be regulated by SURMylation process. To test this, we decided to determine if AGE-R is SURMylated in living vascular cell system. S100b-stimulated murine aortic vascular smooth muscle cells were used for western blot analysis with relevant antibodies. Taken together, bioinformatics database search and molecular biological approaches suggested AGE-R is SURMylated in living cardiovascular cell system. Whilst SURMylation and AGE-R undoubtedly plays an important role in the cardiovascular biology, it remains unclear as to the exact nature of this contribution under both physiological and pathological conditions.