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Relationship of Total Body Fat Content and Its Distribution to Carbohydrate Tolerance and Serum Lipids in Diabetics (당뇨병 환자의 체지방량 및 체지방 분포와 당대사 및 혈청지질 농도와의 관계)

  • 김은경;이기열;김유리;허갑범
    • Journal of Nutrition and Health
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    • v.24 no.1
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    • pp.1-11
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    • 1991
  • In this study. the importance of body fat distribution as an indicator of metabolic aberrations in diabetics was'evaluated. Skinfold thicknesses at eight sites and circumferences at five sites and total body fat content were measured on 105 diabetics. 1) The waist/thigh girth ratio(WTR) was positively correlated(r=0.38-0.54) to plasma glucose levels during oral glucose loading in diabetic men alone. 2) There was no significant difference in serum total cholesterol of diabetics and nondiabetics. However, HDL-cholesterol was significantly lower(p : 0.000. in male and female) in diabetics(male : 36.31$\pm$ 16.98mg/dl, female: 37.89$\pm$14.67mg/dl) than nodiabetics(male 61.75$\pm$14.08mg/dl, female : 62.29$\pm$12.65mg/dl) and serum triglyceride was significantly higher(p=0.0212) in diabetic women(171.90$\pm$ 76.61mg/dl) than nondiabetic women(111.10$\pm$42.84mg/dl) . 3) In both sexes. anthropometric measurements that significantly correlated to serum triglyceride concentration were percentage of ideal body weight. body mass index(BMI) and waist circumference. Positive and significant correlations were found between serum cholestrol, and BMI(R: 0.31, 0.34) and waist circumference(r=0.29) in diabetic men. Moreover, skinfolds of trunk area(r=0.29~0.32) especially abdomen, were closely associated with serum lipids than other fat deposits. Increasing percentage of total body fat content was accompanied by progressively increasing serum triglyceride concentration(r=0.41) in dieabetic men. This study shows that knowledge of body fat localization may help identify risks of carbohydrate intolerance and hyperlipidemia in diabetics.

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A Survey of Food Habits of the Elderly Over Sixty Years of Age in Seoul (60세 이후 노년층의 식습관조사)

  • Kim, Sun-Hee
    • Journal of Nutrition and Health
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    • v.10 no.4
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    • pp.59-67
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    • 1977
  • This study was carried out to know the food habits of 200 persons, 89 males and 111 females, aged 60 years and over from June 13 to July 2, 1977 in Seoul. The results are summarized as follows: 1. Changes of the food preferences The preferences about foods after 60 years of age showed in lower scores of dislikes than those before and, however, were not significantly changed. Beef was the item which 75% of the subjects liked and was the highest in desire to eat, Likes for hot, salty, and sour taste except sweet were diminished but they generally liked hot or sweet food rather than sour or salty one and also warm dish rather than cold one. A majority of them wanted to have their meals cook more soft and tender. 2. Intakes of foods The average consumptions of the basic food groups per capita per day were 475.5g of males .and 431.8g of females for cereals and grains, 119.6g and 103.6g for meats add legumes, 221.7g and 216. lg for fruits and vegetables, 52.6g and 39.4g for milk and small fishes, and 5.0g and 4.7g for fats and oils. 3. Intakes of calorie and nutrients The percentage contributions of three nutrients, carbohydrate, protein, and fats to the total amounts of calories were 75.9, 12.4, and 11.7% of mates and 75.6, 12.4, and 12.0% of females. Women had a slightly higher percentage of caloric intake to RDA than men who didn't satisfy RDA. The subjects revealed an insufficient protein intake as well as calcium. Therefore, many older people have to be convinced of the importance of milk for both nutrients. The mean ratios for iron, niacin, and thiamin intake were higher than RDA and on the contrary. those for riboflavin, vitamin A, and ascorbic acid intake were below RDA. It seems necessary, for the aged to maintain good state of health, to promote their appetite, and to take regular mealtime because difficulty of teeth, illness, irregular mealtime, and loss of appetite had influence on less intakes of calorie and nutrients.

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Solar Energy Prediction Based on Artificial neural network Using Weather Data (태양광 에너지 예측을 위한 기상 데이터 기반의 인공 신경망 모델 구현)

  • Jung, Wonseok;Jeong, Young-Hwa;Park, Moon-Ghu;Seo, Jeongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.457-459
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    • 2018
  • Solar power generation system is a energy generation technology that produces electricity from solar power, and it is growing fastest among renewable energy technologies. It is of utmost importance that the solar power system supply energy to the load stably. However, due to unstable energy production due to weather and weather conditions, accurate prediction of energy production is needed. In this paper, an Artificial Neural Network(ANN) that predicts solar energy using 15 kinds of meteorological data such as precipitation, long and short wave radiation averages and temperature is implemented and its performance is evaluated. The ANN is constructed by adjusting hidden parameters and parameters such as penalty for preventing overfitting. In order to verify the accuracy and validity of the prediction model, we use Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) as performance indices. The experimental results show that MAPE = 19.54 and MAE = 2155345.10776 when Hidden Layer $Sizes=^{\prime}16{\times}10^{\prime}$.

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Performance of Newly Evolved Bivoltine Silkworm Hybrids of Bombyx mori with Reference to Hybrid Vigour

  • Reddy, N.Mal;Basavaraja, H.K.;Kumar, N.Suresh;Joge, P.G.;Kalpana, G.V.;Dandin, S.B.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.7 no.1
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    • pp.59-63
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    • 2003
  • In the present study, hybrid vigour in terms of heterosis and over dominance of newly evolved bivoltine hybrids and their reciprocals raised from the promising newly evolved bivoltine breeds were calculated for the important parameters like pupation, cocoon yield, cocoon weight, shell weight, shell ratio, raw silk percentage, filament length and neatness. Through there was no significant difference among the hybrids for the characters pupation, cocoon yield and cocoon weight, the magnitude of heterosis and over dominance were varied significantly for these characters. However, significant differences were observed between new hybrids and control hybrid for the characters like cocoon shell weight, cocoon shell ratio, filament length and raw silk percentage. The results indicate that majority of new hybrids have shown higher heterosis and over dominance than control hybrid. The data also indicate that highest mean heterosis of all new hybrids was recorded for cocoon yield followed by filament length. Whereas highest mean over dominance was recorded for cocoon yield followed by cocoon weight. Negative mean heterosis and over dominance were recorded for the trait cocoon shell ratio. Based on the results, the importance of three hybrids viz., CSR2 ${\times}$ CSR4, CSR2 ${\times}$ CSR5 and CSR3 ${\times}$ CSR6 and their reciprocals (CSR4 ${\times}$ CSR2, CSR5 ${\times}$ CSR2 and CSR6 ${\times}$ CSR3) which exhibited significant heterosis and over dominance, for commercial exploitation was discussed.

Development of Sasang Type Diagnostic Test with Neural Network (신경망을 사용한 사상체질 진단검사 개발 연구)

  • Chae, Han;Hwang, Sang-Moon;Eom, Il-Kyu;Kim, Byoung-Chul;Kim, Young-In;Kim, Byung-Joo;Kwon, Young-Kyu
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.4
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    • pp.765-771
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    • 2009
  • The medical informatics for clustering Sasang types with collected clinical data is important for the personalized medicine, but it has not been thoroughly studied yet. The purpose of this study was to examine the usefulness of neural network data mining algorithm for traditional Korean medicine. We used Kohonen neural network, the Self-Organizing Map (SOM), for the analysis of biomedical information following data pre-processing and calculated the validity index as percentage correctly predicted and type-specific sensitivity. We can extract 12 data fields from 30 after data pre-processing with correlation analysis and latent functional relationship analysis. The profile of Myers-Briggs Type Inidcator and Bio-Impedance Analysis data which are clustered with SOM was similar to that of original measurements. The percentage correctly predicted was 56%, and sensitivity for So-Yang, Tae-Eum and So-Eum type were 56%, 48%, and 61%, respectively. This study showed that the neural network algorithm for clustering Sasang types based on clinical data is useful for the sasang type diagnostic test itself. We discussed the importance of data pre-processing and clustering algorithm for the validity of medical devices in traditional Korean medicine.

Impact of Seasonal Conditions on Quality and Pathogens Content of Milk in Friesian Cows

  • Zeinhom, Mohamed M.A.;Abdel Aziz, Rabie L.;Mohammed, Asmaa N.;Bernabucci, Umberto
    • Asian-Australasian Journal of Animal Sciences
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    • v.29 no.8
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    • pp.1207-1213
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    • 2016
  • Heat stress negatively affects milk quality altering its nutritive value and cheese making properties. This study aimed at assessing the impact of seasonal microclimatic conditions on milk quality of Friesian cows. The study was carried out in a dairy farm from June 2013 to May 2014 at Beni-Suef province, Egypt. Inside the barn daily ambient temperature and relative humidity were recorded and used to calculate the daily maximum temperature-humidity index (mxTHI), which was used as indicator of the degree of heat stress. The study was carried out in three periods according to the temperature-humidity index (THI) recorded: from June 2013 to September 2013 (mxTHI>78), from October 2013 to November 2013 (mxTHI 72-78) and from December 2013 to April 2014 (mxTHI<72). Eighty Friesian lactating dairy cows were monitored in each period. The three groups of cows were balanced for days in milk and parity. Milk quality data referred to somatic cell count, total coliform count (TCC), faecal coliform count (FCC), Escherichia coli count, percentage of E. coli, and Staphylococcus aureus, percentage of fat, protein, lactose, total solid and solid non-fat. Increasing THI was associated with a significant decrease in all milk main components. An increase of TCC, FCC, and E. coli count from mxTHI<72 to mxTHI>78 was observed. In addition, the isolation rate of both S. aureus and E. coli increased when the mxTHI increased. The results of this study show the seriousness of the negative effects of hot conditions on milk composition and mammary gland pathogens. These facts warrant the importance of adopting mitigation strategies to alleviate negative consequences of heat stress in dairy cows and for limiting related economic losses.

Feeding habits of the Pacific bluefin tuna, Thunnus orientalis in the southern sea of Korea (한국 남해안에 출현하는 태평양참다랑어 Pacific bluefin tuna, Thunnus orientalis의 식성)

  • YOON, Sang Chul;YOO, Joon Taek;LEE, Sung Il;KIM, Zang Geun;CHOI, Kwang Ho
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.4
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    • pp.553-560
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    • 2015
  • The feeding habits of the Pacific bluefin tuna, Thunnus orientalis were examined based on the stomach contents of 330 specimens caught by offshore large purse seine fishery in the southern sea of Korea, 2011. The size of Pacific bluefin tuna used in this study ranged from 34.1 to 67.3 cm in fork length (FL). The percentage of empty stomachs was 41.8%. The main prey items were Pisces and Cephalopoda based on percentage IRI (index of relative importance). The main fish preys were Trachurus japonicus, Bregmaceros japonicus, Engraulis japonicus, and Cephalopoda were Todarodes pacificus, Loligo edulis, Watasenia scintillans. T. orientalis showed ontogenetic change in diet composition. Although Pisces dominated the diet of all length classes the portion of Cephalopoda was relatively higher in size between 40 and 50 cm other than length classes. In terms of seasonal variation in feeding habits, Pisces was the main prey group in all seasons, but Cephalopoda was also frequently consumed during spring and autumn based on %IRI.

Correlation between Body Composition and Lung Function in Healthy Adults (정상 성인의 신체조성과 폐 기능의 연관성)

  • Kim, Hyunseung;Cho, Sunghyoun
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.2
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    • pp.53-61
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    • 2020
  • Purpose : We investigated the correlation between body composition and lung function in healthy adults. Methods : This study included 204 healthy adults in whom all measurements were obtained once, and all data were analyzed using the SPSS software for Windows, version 22.0. Pearson's correlation analysis was performed to determine the correlation between body composition (represented by the total body water, protein mass, soft lean mass, mineral mass, basal metabolic rate, fat-free mass, skeletal muscle mass, and body fat percentage) and lung function (represented by the forced vital capacity [FVC], forced expiratory volume in 1 second [FEV1], the FEV1/FVC ratio, maximum voluntary ventilation [MVV], maximum expiratory pressure [MEP], and the maximum inspiratory pressure [MIP]). All measurements were obtained by two investigators to improve reliability. A significance level of α=.05 was used to verify statistical significance. Results : Among the lung function measurements obtained in both men and women, the FVC, FEV1, MVV, and MIP were positively correlated with the total body water, protein mass, soft lean mass, mineral mass, basal metabolic rate, fat-free mass, and skeletal muscle mass in men (p<.05). The FEV1/FVC ratio was negatively correlated with the total body water, soft lean mass, mineral mass, basal metabolic rate, fat-free mass and the body fat percentage (p<.05). Notably, the FVC, FEV1, and MVV were positively correlated with the total body water, protein mass, soft lean mass, mineral mass, basal metabolic rate, fat-free mass, and skeletal muscle mass in women (p<.05). Conclusion : This study showed a significant correlation between body composition and lung function in healthy adults. In combination with future studies on lung function, our results can provide objective evidence regarding the importance of prevention of lung disease, and our data can be utilized in rehabilitation programs for patients with respiratory diseases.

Comparison the Prevalence of Metabolic Syndrome and Obesity Index between Patients with Silent Lacunar Infarction and Normal Controls in a University Hospital (일개 대학병원에 내원한 무증상성 열공성 뇌경색 환자와 정상인에서 비만 지수와 대사증후군 유병률 비교)

  • Jeong, Hyun-Yun;Kim, Do-Kyung;Son, Ho-Yong;Shin, Yoon-Ri;Lee, Jae-Wook;Kim, Kyoung-Min;Kim, Young-Kyun;Kwon, Jung-Nam;Park, Sun-Mi
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.24 no.3
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    • pp.519-524
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    • 2010
  • This clinical study was done to examine comparison the prevalence of metabolic syndrome and obesity index between patients with silent lacunar infarction and normal controls. We compared the components of metabolic syndrome and obesity index between patients silent lacunar infarction(n=62) and normal controls(n=72). The analysis of the data was done by Frequency Analysis, two sample t-test, Chi-square Test. Hypertension and diabetes mellitus was significantly higher in patients of silent lacunar infarctions. Body mass index (BMI), waist-hip ratio (WHR), body fat percentage, obesity ratio, metabolic syndrome were higher significantly in patients of silent lacunar infarctions than normal controls. Although statistically insignificant, waist circumference showed relatively higher in patients of silent lacunar infarction. This result emphasizes the importance of managing that hypertension, diabetes, body mass index (BMI), waist-hip ratio (WHR), body fat percentage, obesity ratio, metabolic syndrome in silent lacunar infarction.

Development of an Integrated Evaluation Method for National Protected Areas Based on Aichi Biodiversity Target 11 (아이치 생물다양성 목표 11에 기초한 국가 보호지역의 통합 평가 체계 개발)

  • Hong, Jin-Pyo;Shim, Yun-Jin
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.21 no.1
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    • pp.83-94
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    • 2018
  • This study presents an integrated evaluation method to assess the level of achievement of quantitative expansion goals and qualitative improvement goals based on the Aichi Biodiversity Target 11 for quantitatively expanding and qualitatively improving national protected areas. The quantitative evaluation indicators for national protected areas are the percentage of terrestrial and inland water areas protected and the percentage of marine and coastal areas protected. The quantitative evaluation indicators for national protected areas are selected as 6 indicators: 1) ecologically important areas, 2) ecological representativeness, 3) management effectiveness, 4) connectivity, 5) social equity and 6) integration. Ecologically important areas are an indicator which evaluates how many areas of particular importance for biodiversity and ecosystem services are included in national protected areas. Ecological representativeness is to assess how well national protected areas represent the ecosystem. Management effectiveness is an indicator which evaluates how effectively national protected areas are conserved and managed, and connectivity is an indicator to assess how well national protected areas are connected. Social equity is evaluating how equitably national protected areas are managed and the integration is assessing how much national protected areas are integrated into the wilder landscape and seascape. This study is significant in that it provides a perspective of qualitative improvement as well as quantitative expansion of national protected areas for biodiversity conservation through accurately understanding Aichi Biodiversity Target 11.