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심윤택,엄나현,이영만,김성호,현진영,이경미 대한법의학회 2023 대한법의학회지 Vol.47 No.4
This study aimed to explore the use of three-dimensional reconstructed computed tomography images of the adult humerus for forensic anthropological sex estimation in the Korean population. In forensic anthropology, the skull and pelvic bone show high accuracy in sex estimation; however, when they are impaired, other bones should be available for sex estimation. Six hundred images of the right and left humerus pair were used. A logistic regression analysis was performed by measuring the volumes of 500 images and the remaining 100 images were used in the metric sex estimation. Both the logistic regression and metric measurements were performed separately on three regions of the right and left humerus: the head, mid-shaft, and digital regions, The accuracy of sex estimation in the right humerus was 93% (91% for men and 96% for women), 92% (93% for men and 91% for women), and 87% (85% for men and 89% for women) for the head, mid-shaft, and digital regions, respectively. Sex estimation accuracy in the left humerus was 92% (89% for men and 96% for women), 93% (96% for men and 89% for women), and 91% (91% for men and 91% for women) for the head, mid-shaft, and digital regions, respectively. These results contribute to high accuracy and reliability in sex estimation using three-dimensional images of the humerus in Koreans, whereas the two-dimensional metric method provided limited information on bone measurements.
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한국인 머리뼈의 3차원 영상을 이용한 성별판별: 비계측적 연구
심윤택,정예훤,김이석,엄나현,최승규,오세민,박지환,김동영,구형남 대한법의학회 2021 대한법의학회지 Vol.45 No.3
This study performed the forensic anthropological sex estimation of Koreans in a non-metric way by reconstructing three-dimensional (3D) computed tomography (CT) images of skulls. The skull CT images used in this study were 100 (51 males, 49 females), and all CT images were taken with a slice thickness of 0.75 mm and then reconstructed into 3D images using the MIMICS 23.0 program. Using the reconstructed 3D image, measurements were repeated twice. The sex determination was male if the 4 point to 5 point was relatively more in five landmarks, and female if the points of 1 to 2 were relatively more. Results of the study show that, 88 of the 100 cases matched the actual sex. Among the 12 discrepant cases, ten cases were mismatched with the actual sex even though the estimation and repeated estimation readout of sexestimating were the same. Two cases, were “unknown,” showing different sexes in the first and repeated estimations. In conclusion, this study indicated that a forensic anthropological analysis from 3D images provided accurate point information on the landmarks of skulls, showing as high an accuracy as the sex estimation method using real bones. The ten cases of sex mismatch, except the two “Unknown” cases, are considered to be errors that did not consider differences in population groups. In further studies, further establishing a nonmetric, specifically Korean methods to increase the accuracy and reliability of sex estimation is need.
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운동생리학 : 다양한 운동형태의 일회성 운동이 혈장량과 혈중 지질 및 지단백 콜레스테롤에 미치는 영향
심윤택(SimYunTaeg),김광희(KimGwangHui),박동호(ParkDongHo),김도윤(KimDoYun) 한국체육학회 2003 한국체육학회지 Vol.42 No.5
Acute plasam volume change(PVC) and high-density lipoprotein (HDL), triglyceride(TG), total cholesterol(TC), low-density lipoprotein (LDL), and very low-density lipoprotein (VLDL) changes were determined in 18 healthy college aged-men completing three-counterbalanced running trials at different exercise intensities: trial 1 at 50%LT, trial 2 at 100%LT intensity and 75%LT intensity. For each trial, blood samples were collected at pre-exercise (baseline), immediately post-exercise (PE), 24 hours(24h) and 48 hours post-exercise. Serum samples were analyzed for HDL, LDL, VLDL, TC, and TG. In addition, capillary blood samples were collected for analysis of blood lactate concentrations during incremental test to determine LT. All samples were corrected for plasma volume changes and compared to pre-exercise (baseline). The result through the statistical analysis of plasma volume change and lipid profiles as follows:1. PVC was not changes among the intensities while the differences of PVC over time were detected at 50%LT (baseline vs immediately post-exercise, p<.05) and 75% LT (immediately post-exercise vs 48h PE, p<.05). 2. No significant difference was determined in changes of HDL, LDL, VLDL, TG, and TC at various intensities over time. However, there was favourable changing tendency of HDL & TG at the 100%LT intensity. Consequently, exercise at LT intensity might favourably alter the lipid profile as demonstrated in increasing tendencies of 24h and 48h HDL concentrations in combination with decreasing tendencies of TG and VLDL at in 24h and 48h. Therefore, the 100%LT intensity might be the favourable threshold intensity of acute aerobic exercise (expending over 400 ㎉ or spending over 38min for exercise duration) necessary to promote a significant increase in HDL.
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심효진,백효진,조성수,임윤택 한국지역학회 2024 지역연구 Vol.40 No.3
본 연구의 목적은 스마트도시 건설사업과 운영사업이 지역에 미치는 경제적 파급효과를 분석하는 것이다. 경제적 파급효과는 생산유발효과, 부가가치유발효과, 고용유발효과이며, 우리나라 17개 시도를 비교 분석하였다. 분석모형은 지역간 산업연관모델이며, 분석자료는 한국은행에서 발간된 2015년 지역간 산업연관표로, 83개 중분류 산업을 8개 산업으로 재분류 하였다. 재분류된 산업은 스마트도시 건설사업인 부산 EDC와 세종 5-1, 운영사업인 전주 및 대전 스마트도시 계획보고서의 주요 사업의 세부 내용(예산안)에 매칭시켜 산업별 투입액을 산출하였다. 분석결과를 요약하면 다음과 같다. 첫째, 스마트도시 건설 사업은 서울과 경기뿐 아니라 경남(부산 EDC) 및충남(세종 5-1)과 같은 사업 대상 지역의 주변 지역에 파급효과가 미치는 것으로 나타났다. 둘째, 스마트도시 운영사업은 대상지(대전, 전주)에 가장 큰 파급효과를 주었으나 서울과 경기 외의 지역에서 경제적 파급효과 비중이 모두 낮게 나타났다. 셋째, 파급효과는 스마트도시 건설 사업 보다 스마트시티 운영 사업이 추진 될 때 서울과 경기지역으로의 영향이 더욱 집중되었다. 이러한 결과는 서울, 경기 지역에 스마트도시 관련 주요 기업과 산업 클러스터, 연구개발 인프라가 집중된 것에 기인한다. Ths study aims to analyze the economic impact of smart city construction project and operation project on the regions. The study used case studies to analyze the economic impact of smart city construction projects such as Busan EDC and Sejong 5-1, and operation projects such as Jeonju and Daejeon smart city plans. The study used a regional input-output model as its analysis model. The data used for the analysis was the 2015 regional input-output table published by the Bank of Korea. The industry was reclassified from 83 mid-category industries into 8 industries. The analysis results are summarized as follows. First, the construction project of smart cities was found to have a spillover effect (production inducement effect) not only in Seoul and Gyeonggi Province, but also in the surrounding areas of the target regions such as Gyeongnam (Busan EDC) and Chungnam (Sejong 5-1). Second, smart city operation projects had the greatest impact (production, value-added and employment) on the target areas (Daejeon and Jeonju), but the proportion of economic impact in regions other than Seoul and Gyeonggi was low. Third, the ripple effect was more concentrated in the Seoul and Gyeonggi regions when the smart city operation project was promoted rather than the smart city construction project. This is due to the concentration of major smart city-related companies, industrial clusters, and research and development infrastructure in the Seoul and Gyeonggi regions.
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