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A pre-dose biomarker Ccrn4l for predicting the susceptibility of cisplatin-induced hepatotoxicity
Da-Bin Hwang,Dong-Hoon Won,Yoo-Sub Shin,Shin-Young Kim,Changuk Kim,Jun-Won Yun 한국실험동물학회 2021 한국실험동물학회 학술발표대회 논문집 Vol.2021 No.7
Cisplatin-induced liver injury is one of the limitations of its use as an anti-cancer drug. In particular, individual differences in sensitivity to drug-induced liver injury (DILI) can lead to life-threatening situations. The purpose of this study is to discover which innate genetic factors determine diversity for susceptibility to DILI. Rats undergo a liver prebiopsy and a 3-week postoperative recovery period prior to cisplatin administration. Two days after administration of cisplatin, hepatotoxicity was confirmed through serum biochemical and histopathological analysis. Based on liver-related biochemical test results (ALT, AST, γGT), rats were sub-grouped into the Susceptible (top five) or Resistant (bottom five) group for RNA sequencing using the pre-collected liver samples. As a result, pre-dose 161 genes were differentially expressed between the susceptible and resistant groups. Among them, Ccrn4l, a clock-controlled gene included in the "rhythmic process", was inherently low in gene expression before drug administration in both cisplatin- and acetaminophen-susceptible animals. In addition, in the susceptible group, the innately low expression level of Ccrn4l was maintained even after cisplatin treatment with decreased antioxidants, increased nitration, and apoptosis. When checking the correlation between Ccrn4l, antioxidant catalase, and mitochondrial RNA in the liver, it was confirmed that they showed similar mRNA expression patterns according to individual circadian variation. Surprisingly, Ccrn4l knockdown WB-F344 cells prompted cisplatin-induced mitochondrial dysfunction, apoptosis, and decreased catalase activity. In conclusion, individual innate hepatic Ccrn4l level may be a novel factor affecting cisplatin-induced hepatotoxicity susceptibility by modulating mitochondrial and antioxidant functions.
Da Yun Hwang,Se Bin Jeong,Kyung-Haeng Lee,Kwang-Won Yu,Yun-Jung Bae 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
The aim of this study was to investigate the use and the satisfaction of fresh convenience foods, specifically fresh-cut fruits and vegetables according to customer health consciousness. The survey included a total of 1,132 subjects (568 men and 564 women). Subjects were classified into two groups: health conscious consumers (HCC)(n=865) and non-health conscious consumers (NHCC)(n=267). When choosing convenience foods, the HCC group had a higher percentage of respondents who considered eco-labels(p<0.05), while showing a significantly lower proportion of those who considered quantity/bundle size (p<0.05) than the NHCC group did. Overall satisfaction with fresh cut fruits and vegetables was 3.75 points in the HCC group, and this was significantly higher than 3.61 points in the NHCC group (p=0.006). The study results indicate when the customers are health conscious, they are more likely to consider health promoting factors when purchasing fresh convenience foods, resulting in higher level of satisfaction. This work was supported by Cooperative Research Program for Agriculture Science and Technology Development(PJ015285042021), Rural Development Administration, Republic of Korea.
Invariant EKF를 사용한 자율 이동체의 SLAM 개선
정다빈(Da-Bin Jeong),고낙용(Nak-Yong Ko),정준혁(Jun-Hyuk Chung),변재영(Jae-Young Pyun),황석승(Suk-Seung Hwang),김태운(Tae-Woon Kim) 한국전자통신학회 2020 한국전자통신학회 논문지 Vol.15 No.2
본 논문은 2차원 공간에서 SLAM(: Simultaneous Localization and Mapping)의 구현을 설명한다. 본 논문에서 사용한 방법은 불변량이라고 하는 변수가 일정하게 유지 될 때 변환된 변수가 선형 공간을 구성하도록 상태 변수와 측정 변수를 변환하는 IEKF(: Invariant extended Kalman filter)를 사용한다. 따라서, IEKF는 불변량이 일정하게 유지되는 경우 수렴을 보장한다. 제안된 IEKF 접근법 중 변환을 하는 과정에서는 리군(Lie group) 행렬을 사용한다. 이 방법은 시뮬레이션을 통해 테스트 되었으며 결과는 선형 칼만 필터의 경우와 마찬가지로 칼만 이득이 일정하다는 것을 보여준다. 즉, 시뮬레이션 결과 이동체의 추정된 위치와 검출된 물체들 사이의 일관성을 보였다. This paper describes an implement of Simultaneous Localization and Mapping(SLAM) in two dimensional space. The method uses Invariant Extended Kalman Filter(IEKF), which transforms the state variables and measurement variables so that the transformed variables constitute a linear space when variables called the invariant quantities are kept constant. Therefore, the IEKF guarantees convergence provided in the invariant quantities are kept constant. The proposed IEKF approach uses Lie group matrix for the transformation. The method is tested through simulation, and the results show that the Kalman gain is constant as it is the case for the linear Kalman filter. The coherence between the estimated locations of the vehicle and the detected objects verifies the estimation performance of the method.