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주행 시 운전자의 운전작업 중 주의집중 모니터링에 대한 연구 동향 분석
한가을 ( Gaeul Han ),김종배 ( Jongbae Kim ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.2
본 논문에서는 주행 중 운전자의 운전작업 중 전방 주의집중 여부를 모니터링하는 연구 방안들을 조사하고 최신 연구 동향을 분석하였으며, 자율주행자동차에서 운전자의 주의집중이 필요한 상황들에 대해 사전에 안내하는 방안을 제시하고자 한다. 연구 동향을 조사한 결과 대부분의 방법은 시각자료 기반과 생체신호 기반으로 진행하고 있다. 연구분석 결과를 바탕으로 두 가지 방법 중 본 연구에서는 시각 자료 기반 연구 방법에 초점을 맞추어, 자동차에 설치된 카메라를 통해 수집된 영상에서 운전자의 운전작업 주의 여부를 식별하는 방법들에 대해서 분석을 진행하였다. 주행 영상에서 HoG(histogram of oriented gradients) 특징과 딥러닝 학습을 통해 운전자의 주의집중 여부를 모니터링하는 방법이 효과적임을 제시한다. 본 연구조사를 통해 분석된 운전자 모니터링 방안들을 자율주행 자동차에 적용하기 위한 운전자 주의 태만 경고시스템에 적용이 가능함을 제시한다.
Gaeul Choi(최가을),Sungkuk Bae(배성국),Kwangmin Shim(심광민),Yeseop Park(박예섭),Junghwan Seo(서정환),Youkeun Oh(오유근) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Baseline drift in chromatography data often results in degraded quantitative analysis results. Baseline correction is required in order to achieve higher accuracy. It is difficult, however, to correct the baseline when its signal-to-noise ratio (SNR) is low or when the baseline drift occurs. This study proposes an algorithm to identify the correct baseline using the moving standard deviation and penalized least squares(PLS). The proposed method can be applied to noisy chromatographic data or even to any non-stationary data. This method calculates the moving standard deviation of data and identifies the points above the user-defined threshold. The initial weight vector of PLS for the corresponding points is initialized with the value of zero. The accurate baseline can be determined through the PLS method in an iterative manner. The performance of this method can be evaluated by comparing its root-mean-square error (RMSE) with other previous methods.
Immunogenic Effect of Hyperthermia on Enhancing Radiotherapeutic Efficacy
Lee, Sungmin,Son, Beomseok,Park, Gaeul,Kim, Hyunwoo,Kang, Hyunkoo,Jeon, Jaewan,Youn, HyeSook,Youn, BuHyun MDPI 2018 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES Vol.19 No.9
<P>Hyperthermia is a cancer treatment where tumor tissue is heated to around 40 °C. Hyperthermia shows both cancer cell cytotoxicity and immune response stimulation via immune cell activation. Immunogenic responses encompass the innate and adaptive immune systems, involving the activation of macrophages, natural killer cells, dendritic cells, and T cells. Moreover, hyperthermia is commonly used in combination with different treatment modalities, such as radiotherapy and chemotherapy, for better clinical outcomes. In this review, we will focus on hyperthermia-induced immunogenic effects and molecular events to improve radiotherapy efficacy. The beneficial potential of integrating radiotherapy with hyperthermia is also discussed.</P>
Heavy metal concentrations in hair of newly imported China-origin rhesus macaques (Macaca mulatta)
Jae-Il Lee,Won-Young Jung,Gaeul Lee,Min-Sun Kim,Young-Seo Kim,Chung-Gyu Park,Sang-Joon Kim 한국실험동물학회 2012 Laboratory Animal Research Vol.28 No.3
Macaque monkeys are good sentinel to humans for environmental pollutions because their similarities in genetic and physiological characteristics. So, their reference values about exposures to heavy metals are required for proper data interpretation. Here, we report several heavy metals concentrations in the hair of rhesus monkeys which are widely used in biomedical research. The hair of 28 imported rhesus monkeys from an animal farm in southwest China were examined for the presence of eight heavy metals (Arsenic, Beryllium, Cadmium, Chromium, Iron, Lead, Mercury, and Selenium). The analyzed data in parts per million (ppm) for hair concentrations of heavy metals in rhesus monkeys were as follow: As (0.654±0.331), Be (0.005±0.003), Cd (0.034±0.022), Cr (11.329±4.259), Fe (87.106±30.114), Pb (0.656±0.613), Hg (0.916±0.619), and Se (3.200±0.735). The concentrations of Be, Cr, and As showed significant higher in females than in males (P<0.05). We present here the reference values of several heavy metals in healthy China-origin rhesus monkeys. These data may provide valuable information for veterinarians and investigators using rhesus monkeys in experimental studies.
Lee, Sungmin,Son, Beomseok,Jeon, Jaewan,Park, Gaeul,Kim, Hyunwoo,Kang, Hyunkoo,Youn, HyeSook,Jo, Sunmi,Song, Jie-Young,Youn, BuHyun S. Karger AG 2018 Cellular physiology and biochemistry Vol.47 No.6
<P><B><I>Background/Aims:</I></B> Non-alcoholic fatty liver disease (NAFLD) is an emerging metabolic disease. Although it leads to severe hepatic diseases including steatohepatitis, cirrhosis, and hepatic cancer, little is known about therapy to prevent and cure hepatic steatosis, the first step of NAFLD. We conducted this investigation to unveil the mechanism of hepatic steatosis. <B><I>Methods:</I></B> We established a novel chronic NAFLD mouse model through whole body irradiation and verified the model through histological and biochemical analysis. To find molecular mechanism for hepatic steatosis, we analyzed hepatic transcriptomic profiles in this model and selected target molecule. To induce the expression of lactotransferrin (Ltf) and regulate the NAFLD, growth hormone (GH) and coumestrol was introduced to hepatocyte and mice. The universal effect of coumestrol was confirmed by administration of coumestrol to NAFLD mouse model induced by high-fructose, high-fat, and MCD diet. <B><I>Results:</I></B> It was observed that decreased hepatic Ltf expression led to excessive hepatic lipid accumulation in NAFLD mouse. Furthermore, we found that GH was decreased in irradiated mice and functioned as an upstream regulator of Ltf expression. It was observed that GH could stimulate Ltf expression and prevent uptake of dietary lipids in hepatocytes, leading to rescue of NAFLD. Finally, we suggested that coumestrol, a kind of isoflavonoid, could be used as an inducer of hepatic Ltf expression through cooperation with the GH signaling pathway both <I>in vitro</I> and <I>in vivo</I>. <B><I>Conclusions</I></B><I>:</I> Hepatic Ltf prevents hepatic steatosis through inhibition of dietary lipid uptake in radiation-induced NAFLD mouse model. We also suggest coumestrol as a drug candidate for prevention of NAFLD.</P>
마약감지용 액상 시료 MEMS 샘플러 통합형 마이크로 가스 크로마토그래피 시스템 개발
배성국(Bae Sung kuk),심광민(Kwangmin Shim),박예섭(Yeseop Park),최가을(Gaeul Choi),오유근(Youkeun Oh),서정환(Jung Hwan Seo) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Recently, a microfabricated gas chromatography (μGC) has emerged as one of the key technologies for the onsite hazardous gas mixture detection. However, there have been little research papers so far in the drug research field since a preconcentrator, one of the main components consisting of the existing μGC, is developed to adsorb gas-phase volatile or semi-volatile compounds while the vapor pressures of most drugs are extremely low. Here, in this study, we introduce our micro GC system capable of onsite detection of narcotic constituents in the solution. In order to realize the liquid sampling of the drug solution using our GC system, we have developed a MEMS liquid drug sampler which is compatible with a micro GC system. Our experimental results have demonstrated that our portable micro GC system integrated with the MEMS liquid sampler could achieve high chromatogram resolutions for the analytes in the narcotics solution.
Sumin Oh,Yang-Hyun Baek,Sungju Jung,Sumin Yoon,Byeonggeun Kang,Su-hyang Han,Gaeul Park,Je Yeong Ko,Sang-Young Han,Jin-Sook Jeong,Jin-Han Cho,Young-Hoon Roh,Sung-Wook Lee,Gi-Bok Choi,Yong Sun Lee,Won K 대한간학회 2024 Clinical and Molecular Hepatology(대한간학회지) Vol.30 No.2
Background/Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by fat accumulation in the liver. MASLD encompasses both steatosis and MASH. Since MASH can lead to cirrhosis and liver cancer, steatosis and MASH must be distinguished during patient treatment. Here, we investigate the genomes, epigenomes, and transcriptomes of MASLD patients to identify signature gene set for more accurate tracking of MASLD progression. Methods: Biopsy-tissue and blood samples from patients with 134 MASLD, comprising 60 steatosis and 74 MASH patients were performed omics analysis. SVM learning algorithm were used to calculate most predictive features. Linear regression was applied to find signature gene set that distinguish the stage of MASLD and to validate their application into independent cohort of MASLD. Results: After performing WGS, WES, WGBS, and total RNA-seq on 134 biopsy samples from confirmed MASLD patients, we provided 1,955 MASLD-associated features, out of 3,176 somatic variant callings, 58 DMRs, and 1,393 DEGs that track MASLD progression. Then, we used a SVM learning algorithm to analyze the data and select the most predictive features. Using linear regression, we identified a signature gene set capable of differentiating the various stages of MASLD and verified it in different independent cohorts of MASLD and a liver cancer cohort. Conclusions: We identified a signature gene set (i.e., CAPG, HYAL3, WIPI1, TREM2, SPP1, and RNASE6) with strong potential as a panel of diagnostic genes of MASLD-associated disease.