Objectives The purpose of this study is to evaluate the current growth via Growth indices, Obesity indices, Metabolic risk factors of Multicultural Families' Children in Dae-jeon area. Methods 5 to 12 year old children from 56 multicultural families were enrolled in this study, and were examined their bone age and body composition, and have received blood tests. Results 1. In Growth indices, average height percentile was $53.64{\pm}25.59%$. The AHP and MPH respectively, were converted into 20 years old adult height percentile, AHP of a girls was 40 percentile and MPH was 19 percentile, AHP of boys was 57 percentile and MPH was 21 percentile. 2. In Obesity indices, average of BMI pecentile was $44.16{\pm}29.52$; low-weight group (6 boys, 4 girls), normal-weight group (20 boys, 18 girls), over-weight group (8 girls). Average PWH was $100.51{\pm}15.66%$; low-weight group (9 boys, 5 girls), normal-weight group (14 boys, 15 girls), over-weight group (3 boys, 5 girls), obesity group (5 girls). 3. The results of the relationship between Growth indices and Obesity indices, 1) As RH percentile in boys was increased, skeletal maturity, AHP and AHP-MPH were also increased. Similarly, as RH percentile in girls was increased, skeletal maturity, AHP and AHP-MPH were also increased. 2) As skeletal maturity in boys was increased, BMI percentile was also increased. As skeletal maturity in girls was increased, AHP-MPH was decreased but had no significant differences. Conclusions Current growth of children in multicultural families was above the average when compared to that of average children in the same age. It was predicted that the boys' height were still above the average adult height, but the girls' height were below the average. Also this study showed that girls were more prone to be overweight than boys, thus requiring more intensive management and training in regards to eating habits and exercise.
Ji, Soo-Hyun;Kang, Jeong-Hwa;Jo, Gyeong-Suk;Lee, Sun-kyung;Kim, Haeng-Ran;Choi, Young-min;Lee, You-Seok
The Korean Journal of Food And Nutrition
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v.29
no.6
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pp.1015-1022
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2016
The purpose of this study was to investigate ash and mineral contents of agricultural products that are widely and specifically grown in Korea, including 23 fruits, 11 cereals and specialty crops, and 11 leaves and vegetables. Pre-treatment of mineral was performed by microwave method. Mineral contents were analyzed by Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) and Inductively Coupled Plasma Spectrophotometry Mass (ICP-MS). Ash contents ranged from 0.20 to 0.69 g/100 g in fruits, 1.62 to 3.80 g/100 g in cereals, and 0.28 to 2.93 g/100 g in leaves and vegetables. Among the 45 samples, the highest contents of ash were found in quinoa (average 3.80 g/100 g), the highest contents of calcium (Ca) were found in Hansan ramie leaves (average 894.79 mg/100 g), the highest contents of phosphorus (P) were found in yellow amaranth(average 661.88 mg/100 g), the highest contents of potassium (K) were found in quinoa (average 1,455.38 mg/100 g), the highest contents of magnesium (Mg) were found in red amaranth (average 434.02 mg/100 g), the highest contents of molybdenum (Mo) were found in moringa (average $482.50{\mu}g/100g$), and the highest contents of selenium (Se) were found in apple mango(average $23.67{\mu}g/100g$).
Journal of Information Science Theory and Practice
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v.6
no.2
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pp.46-61
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2018
The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.
This study was carried out to analyze the effect of a diet program for adult women on weight loss, BMI, eating habits, sleeping habits, health related indices. The subjects was 415 participants of the 10 weeks (20 time participation program). The data was collected by basic somatometry and HRV (Heart Rate Variability) / APG (Accelerated Plethysmograph) Analyzer. The average age, height, weight and BMI were 28.6 years, 162.1 cm, 62.8 kg and 23.9 $kg/m^2$, respectively. Their body types by BMI were under weight (1.2%), normal (45.8%), overweight (24.8%), mild obesity (22.7%) and obesity (5.5%). There were significant reductions of average weight (4.6 kg) and average BMI (1.75 $kg/m^2$) on the 10th week. There were positive changes in vascular age (50.4%), stress index (44.6%), fatigue index (43.9%), health index (54.5%) of the subjects during the program. There was a meaningful difference of the average variation for the vascular age, stress index, fatigue index, and health index between two groups; one improving the eating habit and the other did not (p<0.05), and also there was a meaningful difference of the average variation for the fatigue index in both groups improving the sleeping habit (p<0.05), but was not a meaningful difference of the average variation for the vascular age, stress index, and health index between two groups. There was a meaningful difference of the average variation for the vascular age, stress index, fatigue index, and health index between two groups improving both eating and sleeping habit (p<0.05). In conclusion, the weight loss program was effective on the weight loss and BMI reduction and health related indices.
This study was conducted to identify middle school students' caffeine intake from their favorite foods containing caffeine as well as several factors related to their intake. The objects of the investigation were 369 middle school students in the urban area of Changwon-si and 358 middle school students in the rural area of Haman-gun. The average height was 162.3cm, average weight was 52.3 kg and average BMI was 19.8. The food habit score was generally positive at an average of 3.37. The food habit scores of rural area students were higher than those of urban area students (p<.05). The average stress score was somewhat low at 2.82. The stress index for rural students was lower than that of urban students (p<.01). The recognition of caffeine in favorite foods was 8.12 out of a 12 point scale. The average nutritional knowledge score regarding caffeine was very low at 3.08 out of a 10 point scale. The main reason for selecting favorite foods was 'taste'. The percentage of students who don't check food labels was 49.1%. 'House' was the main location while 'good taste' was the biggest reason for eating caffeine-containing foods. The main side effect of caffeine intake was 'nausea'. The average daily caffeine intake for all subjects was 26.96 mg, with the urban students averaging 27.90 mg and the rural students averaging 25.99 mg. The correlations between several factors and caffeine intake were examined. Food habit showed a negative correlation with stress score and caffeine intake. Nutritional knowledge and recognition of caffeine had positive correlations with caffeine intake. Hence nutritional education about caffeine should be emphasized to improve students' healthy food habits.
Journal of the Society of Naval Architects of Korea
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v.48
no.4
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pp.330-335
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2011
This paper presents estimation of average compressive strengths of three types of stiffened panels under lateral pressure and axial compression based on simplified formulas from CSRs and nonlinear FEAs. FEA scenarios are prepared based on the slenderness ratios of the stiffened panels used for in-service vessels. The seven step lateral pressures by 1bar increment are imposed on FE models assuming maximum 30m water height. The number of FEAs for FB-, AB-, and TB-stiffened panels is totally 189 times. FEA results show that existence of pressure can evolves significant reduction of ultimate strengths, meanwhile CSR formulas do not take into account the lateral pressure effect. Lateral pressure acting on the stiffened panel with higher column slenderness ratio more reduces the ultimate strengths than those with smaller column slenderness ratio. A new concept of relative average compressive strain energy instead of the ultimate strength is introduced in order to rationally compare the average compressive strength through complete compressive straining regime. The differences of the ultimate strengths between CSR formulas and FEA results are relatively small for FB- and AB-stiffened panels, but larger discrepancies of relative average compressive strain energies are shown.
Journal of the Korean Society of Environmental Restoration Technology
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v.8
no.1
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pp.45-51
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2005
Total phosphorus(TP) removal was examined in a surface-flow wetland constructed in April 2003 during its initial operating stage from June to November 2003. Its dimensions were 87mL by 14mW. It was a part of a four-wetland-cell treatment system constructed near the Kohung Estuarine Lake located in the southern part of Korea. Effluent from a night soil treatment plant was discharged into the wetland and purified effluent from the wetland was discharged into Sinyang Stream flowing into the Lake. Cattails(Typha angustifolia ) from natural wetlands were cut at about 40 cm height and transplanted into the wetland. An average of 25.0$m^3$/day of effluent flowed from the plant into the wetland. Water depth was maintained about 0.2m and hydraulic detention time was about 5.2 days. Average heights of the cattail stems in June and October 2003 were 47.2 and 164.6cm, respectively. The average number of stems was 10.2 stems/$m^2$ in June 2003 and 18.8 stems/$m^2$ in October 2003. Average temperature of influent and effluent ranged 23.4 and $24.2^{\circ}C$, respectively. The average TP concentrations of influent and effluent were about 1.31, 0.50mg/L, respectively. TP loading rate of influent into the wetland averaged 26.81mg/$m^2$, day and average TP loading rate of effluent was 10.04mg/$m^2$, day. Monthly average TP removal by the wetland during the warm growing season of cattails(June to September) ranged 16.28~19.57mg/$m^2$, day and during the cold senescent period (October to November) ranged 12.62~13.90mg/$m^2$, day. TP removal in the wetland continued during the cold winter months and was primarily done by sedimentation and precipitation of phosphorus rather than phosphorus absorption by cattails and microorganisms.
This study intended to suggest criteria for selection of subjects by lower body shape types necessary for evaluating slacks. For this, the characteristics were examined by lower body parts which would influence the fit of slacks on 3D human body shape data of the front and sides of the lower body for lower body shaping. The frequency of subjects by lower body shape types and the boundary points for discrimination of each type were suggested so that they could be available in selecting subjects. Using the data from Size Korea(2004), indirect measurement values measured on the front and sides of the lower body among 3D human body shape data of 175 subjects were analyzed. Their height, waist, and hip circumference fell under the range of standard deviation based on the mean of women aged 18~24 years, and then lower body shaping was conducted by combining the front and side shapes of the lower body. The front of the lower body was classified into four sections: average waist/average hip type(F1), average waist/narrow hip tyle(F2), narrow waist/narrow hip type(F3) and narrow waist/wide hip type(F4) and the sides of the lower body were divided into four sections: average abdomen/average hip type(S1), flat abdomen/average hip type(S2), average abdomen/protrude hip type(S3)and round abdomen/flat hip type(S4), and thus total 16 lower body types were created by cross analysis. Besides, discriminant analysis suggested the boundary points for each shape type of the front and sides of the lower body as a criterion for deciding lower body shape type of each subject
Journal of the Institute of Electronics and Information Engineers
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v.50
no.5
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pp.231-241
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2013
In this paper, we propose an average approximation filter which can effectively remove the noises of the images. The noises include impulse noises, gaussian noises and mixed noises. The algorithm is as follows. First, as a step of noise detection, we find whether the difference between the pixel value and the average value is greater than the threshold value or not after getting the average value that removed the minimum and maximum values in the applied mask. If the pixel value is greater than the threshold value, the pixel value is processed as noise. If it is less than or equal to the threshold value, it is processed as non-noise. Next, as the noise reduction step, we output the approximate value in mask as the pixel value and the average value except the minimum and maximum values of the pixel including the noise. As the result of applying this average approximation filter to the mixed noise images, the approximation filter can reduce the noises effectively more than 0.4[dB] as compared with applying the median filter and the average filter, respectively.
Journal of the korean academy of Pediatric Dentistry
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v.1
no.1
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pp.41-47
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1974
The dental caries survey of "K" primary school children was performed twice for one year interval and evaluated the transitional trend of dental caries prevalences. The number of children surveyed at the first year, 1973, was 819 boys and 653 girls; and the second year, 1974, was 815 boys and 661 girls aged 6 to 12. Under this survey, the following results were detected: 1. The average df person rate in deciduous teeth was increased by 7.52% in boy, 5.59% in girl and 6.65% of both. 2. The average df Index in deciduous teeth was increased by 0.13 in boy, 0.04 in girl and 0.1 of both. The average dt Index was decreased by 0.59 in boy, 0.64 in girl and 0.61 of both. The average ft Index was increased by 0.73 in boy, 0.68 in girl and 0.71 of both. 3. There showed no significant differences in DMF person rate between 1973 and 1974. 4. The DMFT Index of the permanent teeth was decreased by 0.19 in boy, and increased by 0.22 in girl. There showed no significant differences in both sexes between 1973 and 1974. The average DT Index was decreased by 0.43 in boy, 0.03 in girl and 0.31 of both. The average FT Index was increased by 0.23 in boy; 0.35 in girl and 0.29 of both. The average MT Index showed no significant differences in both sexes between 1973 and 1974.
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