• Nutrition Research and Practice
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• v.9 no.4
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• pp.411-419
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• 2015

BACKGROUND/OBJECTIVES: This study analyzed factors affecting consumption frequencies of vegetables and fruits in Korean adolescents. SUBJECTS/METHODS: Consumption frequencies of vegetables and fruits, general characteristics, meal, health, and other variables were analyzed for a total of 147,047 adolescents who participated in the KYRBWS (Korea Youth Risk Behavior Web-based Survey) conducted in 2006 and 2011 by the Korea Centers for Disease Control and Prevention. RESULTS: Consumption frequencies of vegetables and fruits more than once a day significantly decreased in 2011 compared to 2006 based on Chi-square test conducted for every factor employed in the study. Analysis of factors showed that consumption frequencies of vegetables and fruits were reduced in both study years as subjective income decreased, whereas intake frequencies increased with mother's education level and reduction of adolescent stress level. CONCLUSIONS: In general, consumption frequencies of vegetables and fruits decreased in 2011 compared to those in 2006. Thus, future research needs to improve dietary guidelines for nutrition education in order for students to recognize the importance of food consumption and necessity of increasing daily serving sizes of vegetables and fruits for their balanced consumption.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.1
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• pp.125-138
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• 1997

Along with recent economic prosperity, the consumption of commercially available beverages has increased dramatically. Beverages on the market are replacing tap water and constituting an increasing large proportion of the total daily fluoride intake. If such changes in the source of fluid intake are not taken into consideration, effective fluoride intake would become difficult in the fluoridated area while there would be confusion as to the basis for proper fluoride supplement prescription in the nonfluoridated area. So, dietary consultation is recommended for every pediatric patient. This study was conducted to provide the reference for dietary consultations on the subject of fluoride supplement using 72 beverages on the market. The fluoride content was measured and the fluoride intake from each age groups was calculated using fluoride ion specific electrode and HMDS-microdiffusion technique. 1. The average fluoride concentration of the 72 beverages was $0.23{\pm}0.10ppm$, from 0.0106ppm to 2.2050ppm. 2. Natural fruit juices, diluted fruit juices, carbonated beverages and mixed beverages showed average fluoride concentration of $0.15{\pm}0.66ppm$, $0.09{\pm}0.11ppm$, $0.15{\pm}0.23ppm$, $0.50{\pm}0.66ppm$, respectively. There were significant differrence between diluted friut juice drinks and mixed beverage, and between the carbonated beverages and mixed beverges(p<0.05). 3. Using available data on the daily total consumption of beverages and the relative consumption of beverages on the market according to age, daily fluoride intake for various age groups was calculated. According to the results, 2 to 3 year-old children need 0.13mgF/day, those between 4 and 6 year-old need 0.15mgF/day, and those between 7 and 10 year-old need 0.17mgF/day.

• Korean Journal of Health Education and Promotion
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• v.22 no.2
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• pp.47-61
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• 2005

Objectives: This study aimed to investigate the relationship between consumption of sweet drinks and foods with accompanying oral hygiene health behaviors, and their condition of oral hygiene rural residents who are expected to have relatively poor oral hygiene compared to their urban counterparts. Methods: The 384 subjects, who are aged over 40 and have taken dental examination by dentists in health branches in 6 Myouns, Kongju city, Chungchongnamdo Province during the period between June 1st through 31st, 2004, were asked about dental health behaviors and subjective symptoms using questionnaires. Results and Conclusions: Based on dental health behavior according to sweet beverage and food, the dental health behavior was desirable in both sexes for 'almost daily drink' concerning sweet beverages and 'almost never eat' concerning sweet food, with no statistical significance. As for oral conditions, the groups who responded to 'almost daily drink/eat' for sweet beverages and food had the highest rate of non-treated teeth, lost teeth, DMFT and CPITN, with no statistical significance. Multiple logistic regression analysis with the consumption frequency of sweet foods as explanatory variables and 5 factors of oral conditions as dependent variables, revealed that there was no statistical significance in the oral conditions according to the consumption frequency of sweet drinks while, as for sweet drinks, there was a significant difference to the group who answered as 'occasional gum bleeding' in the case of 'almost daily eat.' responders(OR= 2.33, 95% CI=1.42-3.81, p<0.05).

• Journal of Environmental Science International
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• v.14 no.2
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• pp.121-128
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• 2005

Hexachlorobenzene (HCB) was analyzed in various marine organisms of Korea. HCB was detected in all organism samples with residual concentrations from 0.51 to 222 pg/g wet weight. HCB residue was the highest content in crustacean, and followed by bivalves, fish, cephalopods and gastropods. The residues were comparable to or lower than those in marine organisms of other countries. Daily dietary intake of HCB from seafood was estimated to be 13.4 pg/kg body weight/day. The relative contribution of taxonomic group to the total dietary intake of HCB were in the order of crustaceans $(40.1\%)$, bivalves $(34.2\%)$, fish $(23.1\%)$, cephalopods $(2.22\%)$, and gastropods $(0.38\%)$. Daily dietary intake of HCB expressed as toxic equivalent (TEQ) value was estimated to be $1.34\times10^{-3}pg$ TEQ/kg body weight/day. This value did not exceed tolerable daily intake (TDI) proposed by the WHO, the UK toxicity committee and the KFDA. Cancer risk and target hazard quotient (THQ) due to the consumption of the marine organism in Korean adult population were evaluated using the exposure equation of food ingestion. This result suggests that dietary intake of HCB by the consumption of Korean seafood seems to be safe for human health with negligible cancer and non-cancer risks so far.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3299-3304
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• 2013

Background: The Global Adult Tobacco Survey has 15 key indicators, cigarettes smoked per day (CPD) among daily smokers being one of them. The first wave of GATS in 14 countries indicated that mean CPD use is higher in women than men in India only, which is contrary to the current understanding of tobacco use globally. This study was undertaken to understand the unusual findings for mean CPD use in the GATS-India survey. Materials and Methods: Items B06a and B06b of the GATS India survey questionnaire that collected information on daily consumption of manufactured and rolled cigarettes were analyzed using SPSS software. Exclusive users were identified from these items after excluding the concurrent users of other tobacco products. Cigarette type, exclusive use and gender stratified analyses were made. Consumption of different types of cigarettes among the mixed users of manufactured and rolled cigarettes were correlated. Results: Higher mean number of CPD use among male daily-smokers was observed than their female counterparts in product specific analysis. Mean CPD as per GATS cigarette definition was higher in males than females for exclusive users but a reverse trend was observed in case of non-exclusive users. Use of manufactured cigarettes increased with increase in use of rolled cigarette among the mixed users and around half of these users reported equal CPD frequency for the both types of cigarettes. Conclusions: The anomaly in mean CPD estimate in GATS-India data was due to inclusion of two heterogeneous products to define cigarettes, variation in cigarette product specific user proportions contributing to the average and non-exclusive concurrent use of other tobacco products. The consumption pattern of cigarettes among the mixed users highlights bias in CPD reporting. Definition, analysis and interpretation of 'cigarettes per day' in the GATS India survey need to be improved by redefining cigarettes and making product specific analyses.

• Proceedings of the Korea Society of Poultry Science Conference
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• 2001.11a
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• pp.58-60
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• 2001

Two experiments were conducted to study the effects of nutrient level and feeding method of split diets for a.m. and p.m. on laying hen performance. In both studies, ISA Brown layers were kept in laying hen cages and treatments were represented by three or four replicates each containing 25 or 34 birds. In Experiment 1, the control group(C) was fed a conventional single diet throughout the day and split diet groups(T1, T2 and T3) were offered high energy/protein - low Ca diet and low energy/protein - high Ca diets in a.m. and p.m., respectively. In split diet groups, ME and CP consumption, and feed cost required per day and per kg egg mass were significantly reduced(P＜0.05) compared to C group, while the hen-day egg production, average egg weight and daily feed intake were not different among treatments. In the second study, C and T1 groups were fed the diets same to the C and T2 groups in Experiment 1, respectively. And T2 group was fed the diet mixed with the split diets for a.m. in mash and p.m. in pellet used in T1 group. In T1 and T2 groups, daily feed intake and average egg weight were significantly reduced(P＜0.05), while the hen-day egg production was not influenced by the feeding system. Daily ME and CP consumption, and feed cost were reduced(P＜0.05) in T1 and T2, while the ME, CP and feed cost required per kg egg mass were not different to the C group. In both study, eggshell qualities were improved(P＜0.05) by split diet feeding. It was concluded the feed and nutrients consumption, feed cost per day or per kg egg mass could be spared by introducing split diets for a.m. and p.m., and the feeding method of mixed diet of split diets was also convenient and effective for sparing feed cost and improvement of eggshell quality.

• Journal of Biosystems Engineering
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• v.24 no.5
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• pp.445-452
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• 1999

This study was conducted to develop a searching algorithm for optimal daily temperature setpoint greenhouse. An algorithm using crop growth and energy models was developed to determine optimum crop growth environment. The results of this study were as follows: 1. Mathematical models for crop growth and energy consumption were derived to define optimal daily temperature setpoint. 2. Optimum temperature setpoint, which could maximize performance criterion, was determined by using Pontryagin maximum principle. 3. Dynamic control of daily temperature using the developed algorithm showed higher performance criterion than static control with fixed temperature setpoint. Performance criteria for dynamic control models were with simulated periodic weather data and with real weather data, increased by 48% and 60%, respectively.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.63 no.3
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• pp.189-194
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• 2014

Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method based on hybrid type composed of AR and Neuro-Fuzzy model. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.63 no.4
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• pp.307-311
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• 2014

Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method considering of characteristics of day of week. The proposed method is composed of liner model based on AR model and nonlinear model based on ELM to resolve the limitation of a single model. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.62 no.4
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• pp.169-174
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• 2013

Due to the increase of power consumption, it is difficult to construct an accurate prediction model for daily peak power demand. It is very important work to know power demand in next day to manage and control power system. In this research, we develop a daily peak power demand prediction method based on Extreme Learning Machine(ELM) with fast learning procedure. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.