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The prevalence of obesity is continuing to increase. Self-perceived body image among women has drawn a lot of attention in Korea due to unhealthy weight control trials. This study was conducted to determine the relationship between self-perceived body image and dietary intakes among Korean women. For the analysis, 1,747 subjects were selected after eliminating those who were likely to have recently altered their diet based on the 2010 Korea National Health and Nutrition Examination Survey (KNHANES) data. The subjects were divided into three groups: underweight, normal, and obese groups according to their perception of body image. Daily nutrient intakes, NAR (Nutrient Adequacy Ratio), and food intake frequency were assessed according to age group and body image perception. Only energy intake showed differences among the three body image perception groups across all age groups, but not statistical differences. Analysis of NAR and the order of most frequently consumed food items confirmed these findings. The ratio of underweight women that perceived their body size as normal or overweight was higher with younger age. Incorrect body image perception and unhealthy weight control behaviors can cause nutritional problems. This study confirmed that nutritional knowledge is important for healthy weight control trials. Nutritional education for healthy dieting should be emphasized among Korean women.

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Existing e-learning systems not only require complex admission processes but also do not give stepwise education methods according to individual learners' characteristic. These circumstances cause learners to lose educational interest so that their educational efficiency decreases. In particular, the present e-learning systems do not provide educational approaches suitable for infant and elementary children. Under this system, the e-learning education for children does not proceed completely without guardians. To solve this problem, we design and implement an English e-learning system for elementary children based on friendly and comfortable user interfaces. For children, the proposed system reflects their age and individual interesting per each e-learning stage. This system supports both the Web application platform and smart phone application platform for various client requirements. The proposed system manages 3 classes as English learning content. Learners can experience their own English e-learning course in each class, which is compiled by current educational ability. In addition to the general functions in e-learning system, the proposed system develops content buffering algorithm to reduce data traffic in server.

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