The purpose of this study was to classify the upper torso body types of obese Korean adult women using the 7th Korea National Anthropometric Study data and compare the body type differences according to three age groups: 20s～30s, 40s～50s, and 60s. A total of 548 adult women whose BMI was in the obese range of 25 or higher and whose age ranged from 20s to 60s were selected from the anthropometric database. Twenty-nine body measurements related to torso and arm areas important for torso and sleeve pattern development were chosen. Five drop values by differences between bust, waist, and hip circumferences were also chosen for analysis. The number of obese women increased with age. The results revealed seven factors according to the factor analysis and three obese body types based on the cluster analysis. Body type 1 (47.3% of obese women) was characterized by narrow shoulders, a small or medium torso, and a straight waist. Body type 2 (42.4% of obese women) was characterized by a defined waist and a larger lower torso than upper torso. Body type 3 (10.3% of obese women), the largest obese body type among the three types, was characterized by a large bust, large abdomen area, and long upper torso. Women in their 20s to 30s were most likely to have body type 2, women in their 40s to 50s were evenly distributed between body types 2 and 3, and women in their 60s were most likely to have body type 1.

쉘형 구조물의 불안정 현상은 크게 뜀좌굴과 분기좌굴로 분류할 수 있다. 이들은 구조물의 형상특성, 특히 형상 초기불완전에 대해 매우 민감하게 반응한다. 본 연구에서는, 형상 초기불완전을 가진 쉘형 구조물의 불안정 거동을 파악하기 위해 양단이 힌지로 고정된 얕은 정현형 아치의 평형경로를 조사한다. 비선형 방정식을 얻기 위해 Galerkin법을 이용하였으며, 증분형 방정식으로의 변환은 섭동법을 이용하였다.

Increasing demand on cereal grains to meet the population growth requires more production of rice as well as other cereals, which is supposed to rise up to 40% until 2030. Grain size and shape are critical factors determining grain yield. Several genes on grain shape and size have been reported, and of them, seven cloned genes were chosen for haplotype analysis, such as GS3, GW2, qSW5, GS6, GW8, GS5, and TGW6. We genotyped 218 rice varieties which had diverse grain size and shape originating from 25 countries. As for GS3 and qSW5, PCR markers were developed for point mutation and deletion, respectively. For the other five genes in which functional SNPs were reported, we designed primer sets to distinguish a fuctional allele for each gene. GW2 and TGW6 had two alleles, while the other five genes displayed three alleles which were evenly distributed throughout the population. Analysis on the relationship between haplotype of the genes and grain phenotype is in progress. We expect that desirable allelic combination of genes would assure the optimal grain size and shape for higher grain yield and market quality. This work was supported by a grant from the Next-Generation BioGreen 21 Program (Plant Molecular Breeding Center No.PJ009076), Rural Development Administration, Republic of Korea.