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Vitamin D and carotid subclinical atherosclerosis in SLE
( Chang Bum Bae ),( Ju Yang Jung ),( Bo Ram Go ),( Hyun Ah Kim ),( Chang Hee Suh ) 대한내과학회 2013 대한내과학회 추계학술발표논문집 Vol.2013 No.1
Vitamin D and carotid subclinical atherosclerosis in SLE Chang-Bum Bae, Ju-Yang Jung, Bo-ram Go, Hyun-Ah Kim, Chang-Hee Suh Department of Rheumatology, Ajou University School of Medicine, Suwon, Korea Introduction Atherosclerosis develops earlier in systemic lupus erythematosus (SLE) and is the important cause of mortality. It has been suggested that vitamin D deficiency contributed cardiovascular disease and immune dysregulation in SLE. Methods One-hundred two female patients with SLE and 52 normal controls (NC) were recruited. The carotid artery intima-media thickness (cIMT) and plague were assessed by B-mode ultrasound at the carotid artery level. Vitamin 25(OH)D3 levels were checked by immunoradiometric assay using the Bio-Line 25(OH)D3-Ria CT kit (Bio-Line S.A., Belgium). Disease activity markers were checked at the time of enrollment. Results The cIMT of SLE is 0.41±0.08mm, which is higher than NC (0.37±0.11 mm, p=0.012). Also, carotid artery plague index (PI) of SLE is higher than NC (0.68±1.39 vs 0.26±0.87, p=0.026). The cIMT was correlated with age (r=0.442, p<0.001), body mass index (r=0.246, p=0.013), waist-hip ratio (r=0.245, p=0.013), SLE disease activity index (r=0.239, p=0.016), taking aspirin (r=0.244, p=0.013), and the carotid artery PI was correlated with renal involvement (r=0.224, p=0.023) in patients with SLE. Vitamin 25(OH)D3 was not showed correlation with cIMT and carotid artery PI. Also, it was not correlated with disease activity markers. Conclusion In patients with SLE, the risk of cardiovascular disease measured by cIMT and carotid artery plaque was higher than NC, which may be derived from systemic inflammation. However, vitamin D levels were not showed significant correlations with carotid subclinical atherosclerosis. It may be not suitable to assess vitamin D as marker of disease activity or subclinical atherosclerosis.
라즈베리파이와 YOLOv5를 이용한 해양쓰레기 시계열 변화량 분석
김보람(Bo-Ram Kim),박미소(Mi-So Park),김재원(Jea-Won Kim),도예빈(Ye-Been Do),오세윤(Se-Yun Oh),윤홍주(Hong-Joo Yoon) 한국전자통신학회 2022 한국전자통신학회 논문지 Vol.17 No.6
해양쓰레기란 고의 또는 부주의로 해안에 방치되거나 해양으로 유입·배출되어 해양환경에 해로운 결과를 미치거나 미칠 우려가 있는 물질로 정의된다. 본 연구에서는 효율적인 해양쓰레기 수량 파악 방법 및 변화량 분석을 위하여 객체 탐지 기법을 이용한 해양쓰레기 탐지 및 해양쓰레기의 변화량 분석을 수행하였다. 연구지역은 거제도 북동부 유호 몽돌 해수욕장이며 2022년 9월 12일부터 10월 14일까지 32일 동안 15분 간격으로 수집한 이미지를 통해 변화량을 분석하였다. One-Stage 방식의 객체 탐지 모델인 YOLOv5x를 이용한 해양쓰레기 탐지는 페트병 mAP 0.869, 스티로폼 부표 mAP 0.862의 성능을 도출하였다. 결과적으로 해양쓰레기는 8일 간격으로 큰 감소 폭을 보였으며, 성상별로는 스티로폼 부표의 수량이 3배 정도 많고 변화폭 역시 더 크게 나타남을 파악하였다. Marine debris is defined as a substance that is intentionally or inadvertently left on the shore or is introduced or discharged into the ocean, which has or is likely to have a harmful effect on the marine environments. In this study, the detection of marine debris and the analysis of the amount of change on marine debris were performed using the object detection method for an efficient method of identifying the quantity of marine debris and analyzing the amount of change. The study area is Yuho Mongdol Beach in the northeastern part of Geoje Island, and the amount of change was analyzed through images collected at 15-minute intervals for 32 days from September 12 to October 14, 2022. Marine debris detection using YOLOv5x, a one-stage object detection model, derived the performance of plastic bottles mAP 0.869 and styrofoam buoys mAP 0.862. As a result, marine debris showed a large decrease at 8-day intervals, and it was found that the quantity of Styrofoam buoys was about three times larger and the range of change was also larger.
UAV와 YOLOv5를 활용한 해안 표착 쓰레기 탐지 및 분포현황 시각화
도예빈(Ye-Been Do),김보람(Bo-ram Kim),박미소(Mi-so Park),오세윤(Se-yun Oh),김재원(Jae-won Kim),윤홍주(Hong-Joo Yoon) 한국생태공학회 2022 한국생태공학회지 Vol.9 No.1
Marine debris is defined as a substance that is intentionally or inadvertently left on the coast or is harmful to the marine environment due to inflow and discharge. It can be divided into floating debris, sedimentary debris, and beach litter depending on its location. In this study, UAV and YOLOv5x were used to detect beach litter economically and efficiently. The research area is the coastal area of Geoje-si, Gyeongsangnam-do, and Gadeokdo, Gangseo-gu, Busan, and beach litter detection research was conducted by collecting images by altitude and characteristics of UAVs. When detecting coastal drifting garbage by altitude, the accuracy was the highest at an altitude of 0.727, and the detection accuracy of PET was 0.776 when detecting beach litter by type. After that, as a result of visualizing the detection results, it was possible to show the spatial distribution status of beach litter.