• Journal of Nutrition and Health
• /
• v.53 no.6
• /
• pp.676-687
• /
• 2020

Purpose: The purpose of this study was to investigate the differences in portion size of 11 types of foods that Korean adults frequently consume, based on the parameters of eating place, gender, and age using the Korea National Health and Nutrition Examination Survey (KNHANES) data. Methods: The dietary survey data from 2012-2016 KNHANES was used. A total of 19,779 subjects (8,034 male [40.6%], 11,745 female [59.4%]) were classified based on gender, three age groups (19-29 years old [15.7%], 30-49 years old [46.9%], 50-64 years old [37.4%]) and three eating places (home, institution, and restaurants/convenient stores etc.). Results: The portion sizes according to the eating places were calculated as per the median intake of Korean adults. Foods that showed the highest median intake in restaurants/convenience stores were boiled rice and kimchi stew. The median intake quantity of kimchi stew was the highest in restaurants/convenience stores in men across most age groups. Women in 30-49 years age group also consumed a lot of kimchi stew in restaurants/convenience stores. Men in the age groups 30-49 and 50-64 years consumed soybean paste stew the most in institutions compared to home and restaurants/convenient stores. Stir-fried pork was consumed the most at institutional meal places across all age groups. Conclusion: The portion sizes of kimchi stew and boiled rice were the highest in restaurants/convenience stores. As kimchi stew and soybean paste stew is high in sodium, the intake should be reduced in institutions and restaurants/convenience stores. Furthermore, it is necessary to reduce sodium intake through consumer nutrition education and the development of low-salt standard recipes for restaurants.

• Tuberculosis and Respiratory Diseases
• /
• v.46 no.6
• /
• pp.786-794
• /
• 1999

Back ground : Arm span measurements provide a practical substitute for standing height to predict normal spirometric values in subjects unable to stand or those with a skeletal deformity such as kyphoscoliosis. The relationship between arm span and height has previously been reported as either a fixed ratio unaffected by age or as a regression equation in which the ratio varies as a function of age. The fixed ratio or regression equation is known to be specific for sex and race. Methods : We studied the relationship between standing height, arm span, and age in 381 Korean adult female subjects (ages 20 to 69 yrs) sampled in a general population. Results : The mean ratio for arm span to height is 1.004. Multiple linear analysis found arm span and age to be predictive of standing height (p=0.0001, $r^2$=0.76). We performed the analysis of the difference between the predicted height using either fixed ratio or regression equation and actual height. At the extremes of arm span and age, the ratio method either underestimated(at smaller arm span or younger age) or overestimated(at larger arm span or older age) as compared with actual height (p=0.0001). Conclusion : This results indicate that the estimated height using the fixed ratio method provides a less acceptable method of estimating height for the prediction of lung volumes in the Korean adult women when compared with the regression equations, especially at the extremes of stature or age.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2003.11a
• /
• pp.91-97
• /
• 2003

본 연구는 온라인 게임공간에서 게이머들이 어떻게 서로 다른 가치관과 행동 패턴을 드러내는지를 확인하고 이를 통해 온라인 게임세계의 문화를 이해하고 분석하기 위해 실시되었다. 전 세계에서 가장 많은 게이머들이 활동하고 있고, 한국과 일본에서 동시에 서비스되고 있는 온라인 게임인 〈리니지〉의 게이머들을 대상으로 온라인 설문조사를 실시하여 '라이프 스타일' 분석틀을 이용해서 이들이 게임공간에서 보이는 행동을 분류하였다. 글 결과 한국과 일본의 리니지 사용자들에게서 거의 유사한 세 가지 라이프스타일 패턴이 추출되었으며 한국과 일본에서 라이프스타일에 따른 행동 패턴이 일관적으로 나타나고 있음을 확인하였다. 도한 한국과 일본의 문화적 차이는 각 라이프스타일 프로파일의 극단성과 분포비율에 의해 반영되는 것으로 확인되었다. 일본의 탈사회적 게이머는 한국의 그것에 비해 더 극단적인 반면 전체 응답자 중에서 차지하는 비율이 적었고 게임 세계에서의 사회 경제적 위치도 낮았으며 한국에서는 비교적 적은 비율을 차지하던 싱글 플레이어 유형이 일본에서는 가장 많은 비중을 차지하는 것으로 나타났다. 또한 일본의 게이머들은 라이프스타일에 상관없이 대부분이 게임 공동체에 가입하는 반면 한국의 게이머들은 라이프스타일에 따라 공동체 참여율이 달랐지만 전체적인 참여율은 일본에 비해 높았다. 이러한 차이는 일본 게임세계에서 공동체 참여는 기본적인 의무인 반면 한국에서는 현실적인 이익과 직결된 활동임을 시사한다. 또한 게임몰입수준은 한국보다 일본의 리니지 게이머들이 높았다. 아시아 각 국에 한국에서 개발한 동일한 온라인 게임이 확산되어 있는 현황을 고려할 때, 온라인 게이머의 라이프스타일 척도는 한국과 일본뿐만 아니라 대만과 중국, 홍콩, 그리고 미국과 같은 리니지 게임이 서비스되는 모든 국가의 문화적 차이를 이해하고 과학적으로 분석할 수 있는 방법이 될 수 있을 것으로 기대된다. 의미를 되새기는 것으로 짧은 연구를 시작하겠다. 등은 활성 값이 70% 이상으로 퇴적물 독성이 상대적으로 낮았다. 이중나선 DNA 함량은 28.4 % - 49%로 대조군에 비해서 감소가 크다. 대부분의 정점이 대조군의 30% 내외로 정점 간의 차이는 크지는 않다. 그러나 다른 측정자료와 같이 정점 22에서 18%로 최소치를 나타내고, 정점 2, 12에서 20% 내외의 값을 보인다. 종합적으로 볼 때 오염물질의 유입이 크고, 광양제철 인근 정점 들이 모두 다른 정점에 비해서 낮아서, 퇴적물 독성이 높은 정점으로 조사되었다.hiwo의 광합성 능력은 낮은 농도들에서는 대조구와 유사하였으나, 5 $\mu\textrm{g}$/l의 높은 농도에서는 초기에 매우 낮은 광합성 능력을 보이다가 시간이 경과하면서 대조군보다 더 높은 경향을 나타냈다. 이러한 결과는 식물플랑크톤이 benso[a]pyrene의 낮은 농도에서 노출될 때는 이 물질을 탄소원으로 사용할 가능성이 있음을 시사한다. 본 연구의 결과들은 연안해역에 benso[a]pyrene과 같은 지속성 유기오염물질이 유입되었을 때 내정여부에 따라 식물플랑크톤 군집내 종 천이와 일차생산력에 크게 영향을 미칠 수 있음을 시사한다.TEX>5.2개)였으며, 등급별 회수율은 각각 GI(8.5%), GII(13.4%), GIII(43.9%), GIV(34.2%)로 나타났다.ments of that period left both in Japan and Korea. "Hyojedo" in Korea is supposed to have been influenced by the letter design. Asite- is also considered to have been "Japanese Letter Jobcheso." Therefore, the purpose of this study is to look into

• Journal of Environmental Policy
• /
• v.13 no.1
• /
• pp.69-93
• /
• 2014

The aim of this research was to develop a climate change vulnerability index at the district level (Si, Gun, Gu) with respect to the health care sector in Korea. The climate change vulnerability index was esimated based on the four major causes of climate-related illnesses : vector, flood, heat waves, and air pollution/allergies. The vulnerability assessment framework consists of six layers, all of which are based on the IPCC vulnerability concepts (exposure, sensitivity, and adaptive capacity) and the pathway of direct and indirect impacts of climate change modulators on health. We collected proxy variables based on the conceptual framework of climate change vulnerability. Data were standardized using the min-max normalization method. We applied the analytic hierarchy process (AHP) weight and aggregated the variables using the non-compensatory multi-criteria approach. To verify the index, sensitivity analysis was conducted by using another aggregation method (geometric transformation method, which was applied to the index of multiple deprivation in the UK) and weight, calculated by the Budget Allocation method. The results showed that it would be possible to identify the vulnerable areas by applying the developed climate change vulnerability assessment index. The climate change vulnerability index could then be used as a valuable tool in setting climate change adaptation policies in the health care sector.

• Korean Journal of Food Science and Technology
• /
• v.50 no.1
• /
• pp.28-36
• /
• 2018

Studies on suspected endocrine disrupting pesticide (EDP) residues in agricultural products were carried out in 2016 in Busan, Korea. Twelve different EDPs, ranging in concentration between 0.003-2.049 mg/kg, were detected in 19.5% of 462 samples. About 0.2% of agricultural product samples exceeded the maximum residue limits (MRLs). Risk indices of all of the EDPs were less than 10% of the acceptable daily intake (ADI). The outcomes indicated that the risk groups at highest risk of exposure to diazinon (found in Korean cabbages) and carbendazim (found in apples) were females aged 40 to 49 and young males less than 10 years old, respectively. Based on the stochastic assessment at $95^{th}$ percentile (P95), risk index in these risk groups accounted for 8.38 and 2.98% of ADIs. The results showed that the occurrence of EDP residues in agricultural products could not be considered a public health problem.

• The Korean Journal of Applied Statistics
• /
• v.31 no.1
• /
• pp.123-137
• /
• 2018

A nonlinear mixed effects model is mainly used to analyze repeated measurement data in various fields. A nonlinear mixed effects model consists of two stages: the first-stage individual-level model considers intra-individual variation and the second-stage population model considers inter-individual variation. The individual-level model, which is the first stage of the nonlinear mixed effects model, estimates the parameters of the nonlinear regression model. It is the same as the general nonlinear regression model, and usually estimates parameters using the least squares estimation method. However, the least squares estimation method may have a problem that the estimated value of the parameters and standard errors become extremely large if the assumed nonlinear function is not explicitly revealed by the data. In this paper, a new estimation method is proposed to solve this problem by introducing the ridge regression method recently proposed in the nonlinear regression model into the first-stage individual-level model of the nonlinear mixed effects model. The performance of the proposed estimator is compared with the performance with the standard estimator through a simulation study. The proposed methodology is also illustrated using quantitative high throughput screening data obtained from the US National Toxicology Program.

• Food Science of Animal Resources
• /
• v.25 no.2
• /
• pp.218-225
• /
• 2005

This study was performed to determine sequence variation and RFLP of the mt DNA D-loop region using Southern blot hybridization analysis and to develop mt DNA marker affecting milk production traits in Hanwoo cows. The PCR was used to amplify an 1142 bp fragment within the D-loop region of mt DNA using specific primers. Mt DNA were digested with seven restriction enzymes and hybridized using DIG-labeled D-loop probe. The mt DNA RFLP polymorphisms were observed in the four enzymes, BamHI, RsaI, XbaI and HpaII. Nucleotide substitutions were detected at positions 441 (G/C), 469 (T/C), 503 (C/T), 569 (G/A), 614 (C/A) and 644 (C/T) of the mt DNA D-loop region between two selected lines. Significant relationship between the XbaI RFLP type and breeding value was found(p<0.05). Cows with A type had higher estimated breeding values than those with B type (P<0.05) between high and low milk production lines. Therefore, the RFLP marker of mt DNA could be used as a selection assisted tool for individuals with high milk producing ability in Hanwoo.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.4
• /
• pp.199-207
• /
• 2024

Local reservoirs are crucial sources for agricultural water supply, necessitating stable water level management to prepare for extreme climate conditions such as droughts. Water level prediction is significantly influenced by local climate characteristics, such as localized rainfall, as well as seasonal factors including cropping times, making it essential to understand the correlation between input and output data as much as selecting an appropriate prediction model. In this study, extensive multivariate data from over 400 reservoirs in Jeollabuk-do from 1991 to 2022 was utilized to train and validate a water level prediction model that comprehensively reflects the complex hydrological and climatological environmental factors of each reservoir, and to analyze the impact of each input feature on the prediction performance of water levels. Instead of focusing on improvements in water level performance through neural network structures, the study adopts a basic Feedforward Neural Network composed of fully connected layers, batch normalization, dropout, and activation functions, focusing on the correlation between multivariate input data and prediction performance. Additionally, most existing studies only present short-term prediction performance on a daily basis, which is not suitable for practical environments that require medium to long-term predictions, such as 10 days or a month. Therefore, this study measured the water level prediction performance up to one month ahead through a recursive method that uses daily prediction values as the next input. The experiment identified performance changes according to the prediction period and analyzed the impact of each input feature on the overall performance based on an Ablation study.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.65 no.4
• /
• pp.303-313
• /
• 2020

Rice grain shape is one of the key components of grain yield and market value. An understanding of the genetic basis of the variation in grain shape could be used to improve grain shape. In this study, we developed a total of 265 F₂ individuals derived from a cross between japonica cultivars (Josaeng-jado and Langi) and used this population for quantitative trait locus (QLT) analysis. Correlation analysis was performed to identify relationships between grain traits (GL: grain length, GW: grain width, L/W: ratio of length to width, TGW: 1,000 grain weight). The grain shape was positively correlated with GL and TGW, and negatively correlated with GW. In QTL analysis associated with grain shape, one QTL for GL, qGL5, detected on chromosome 5, explained 20.3% of the phenotypic variation (PV), while two QTLs, qGW5 (PV=36.1) and qGW7 (PV=26.1), for GW were identified on chromosomes 5 and 7, respectively. Evaluation of the effects of each of the QTLs on the grain shape in the population showed a significant difference in the grain size in positive lines compared with the lines without the QTLs. According to the QTL combination of the allelic-types, the grain shape of the tested lines varied from semi-round type to long spindle-shaped type. The results of this study extend our knowledge about the genetic pool governing the diversity of grain shape in japonica cultivars and could be used to improve the grain shape of this species through marker-assisted selective breeding in Korea.

• Radiation Oncology Journal
• /
• v.17 no.1
• /
• pp.30-35
• /
• 1999

Purpose : To evaluate the significance of squamous cell carcinoma antigen (SCC) and carcinoembryonic antigen (CEA) as tumor markers in uterine cervix carcinoma. Materials and Methods : In 22 patients with histologically proven primary squamous cell carcinoma of uterine cervix, tumor volume was checked either by using MRI (in 20 patients) or ultrasound (in 2 patients). Pre-treatment serum SCC levels were checked in 22 patients and CEA levels in 21 patients. After curative radiotherapy, post-treatment SCC and CEA were checked regularly. Results : SCC was raised In 68.2$\%$ and CEA was raised in 19.0$\%$ before treatment. The coefficient of correlation between tumor volume and pre-reatment SCC was 0.59382 when one extremely deviated case was excluded. And there was no correlation between tumor volume and CEA. After the treatment, SCC was raised En 9.1$\%$ and CEA was raised in 4.8$\%$. In further follow up measurement, raise of SCC was associated with clinical relapse or persistence of disease. The specificity of raised SCC level in association with recurrent or persistent disease was 93.8$\%$ . The sensitivity in association with recurrent or persistent disease was 100$\%$. The positive predictive values was 85.7$\%$. The median lead time for recurrence was 1.2 months. Conclusions: Both SCC and CEA were good tumor markers for monitoring treatment effect in patients with raised pre-treatment levels. But the sensitivity of pretreatment CEA was low, while that of pretreatment SCC was high. And there was no additional gain by adding CEA measurements to SCC measurements.