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Lee, Seunghan,Lee, Sunhee,Yoon, Yeo Joon,Lee, Jinwon Humana Press 2013 Applied biochemistry and biotechnology Vol.169 No.2
<P>The goal of this study was to increase the production of long-chain fatty acids and to change the composition of fatty acids through the overexpression of genes involved in the fatty acid synthase (FAS) pathway and utilizing characteristics of a specific gene, namely, fabF. The four genes, fabB, fabG, fabZ, and fabI, are Escherichia coli homologues and function in the elongation cycle of fatty acid biosynthesis. FabB (fabB), an activator of FAS, is a β-oxoacyl-ACP synthase, which catalyzes the addition of acyl-ACP to malonyl-ACP to generate β-oxoacyl-ACP. FabF (fabF) participates at the same step as FabB in the elongation cycle and is structurally and functionally similar to FabB. Hence, we attempted to see if FabF was an activator of FAS, like FabB, with the rationale that these two enzymes have striking similarities. FabF exhibits thermal regulation in that enzyme activity increases at lower temperatures. To confirm its role as an activator of FAS, fabF was overexpressed solely or with other genes in the elongation cycle through biochemical engineering. The fabF recombinants were cultured at different temperatures, resulting in increased total and unsaturated fatty acid accumulation in all the recombinants, compared to wild type, at lower temperatures.</P>
사료내 약용작물 부산물이 가숭어(Liza haematocheila)의 성장, 혈액성상, 면역반응에 미치는 영향
이봉주 ( Bong-joo Lee ),김민기 ( Min-gi Kim ),허상우 ( Sang-woo Hur ),이승형 ( Seunghyung Lee ),이진혁 ( Jinhyeok Lee ),김현종 ( Hyeon Jong Kim ),김이경 ( Yikyung Kim ),이승한 ( Seunghan Lee ),김강웅 ( Kang-woong Kim ) 한국수산과학회 2021 한국수산과학회지 Vol.54 No.4
By-products produced from medicinal plants (MP) were evaluated as feed additives on growth performance, blood chemistry, and immune responses of the juvenile red lip mullet Liza haematocheila. A commercial diet was used as the control. Four experimental diets were prepared by combining 0.5% of MPs such as Panax ginseng (PG), Schisandra chinensis (SC), Angelica gigas (AG), and Rehmannia glutinosa (RG), via water absorption, to the control diet. Triplicate groups of fish averaging 61.8 g were fed one of experimental diets to apparent satiation for 8 weeks. Dietary supplementation of MPs did not affect the growth performance, biological indices and whole body composition of fish compared to the control. The fish fed with AG diet had an increased weight gain, and specific growth rate compared to fish in SC group. Decreased level of plasma glucose was observed in fish fed diet containing MPs. Lysozyme activity was significantly increased in the fish fed AG diet compared to that of fish in PG group. These results indicate that dietary supplementation of Angelica gigas may enhance growth performance and immune responses in juvenile red lip mullet.
Lee, Jung Hwan,Han, In Ho,Kim, Dong Hwan,Yu, Seunghan,Lee, In Sook,Song, You Seon,Joo, Seongsu,Jin, Cheng-Bin,Kim, Hakil The Korean Neurosurgical Society 2020 Journal of Korean neurosurgical society Vol.63 No.3
Objective : To generate synthetic spine magnetic resonance (MR) images from spine computed tomography (CT) using generative adversarial networks (GANs), as well as to determine the similarities between synthesized and real MR images. Methods : GANs were trained to transform spine CT image slices into spine magnetic resonance T2 weighted (MRT2) axial image slices by combining adversarial loss and voxel-wise loss. Experiments were performed using 280 pairs of lumbar spine CT scans and MRT2 images. The MRT2 images were then synthesized from 15 other spine CT scans. To evaluate whether the synthetic MR images were realistic, two radiologists, two spine surgeons, and two residents blindly classified the real and synthetic MRT2 images. Two experienced radiologists then evaluated the similarities between subdivisions of the real and synthetic MRT2 images. Quantitative analysis of the synthetic MRT2 images was performed using the mean absolute error (MAE) and peak signal-to-noise ratio (PSNR). Results : The mean overall similarity of the synthetic MRT2 images evaluated by radiologists was 80.2%. In the blind classification of the real MRT2 images, the failure rate ranged from 0% to 40%. The MAE value of each image ranged from 13.75 to 34.24 pixels (mean, 21.19 pixels), and the PSNR of each image ranged from 61.96 to 68.16 dB (mean, 64.92 dB). Conclusion : This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm of artificial intelligence application in medical imaging. We expect that synthesis of MR images from spine CT images using GANs will improve the diagnostic usefulness of CT. To better inform the clinical applications of this technique, further studies are needed involving a large dataset, a variety of pathologies, and other MR sequence of the lumbar spine.
Seunghan Lee(이승한),Kyungtae Kang(강경태),Dong Kun Noh(노동건) 한국컴퓨터정보학회 2017 韓國컴퓨터情報學會論文誌 Vol.22 No.2
Nowadays wine is increasingly enjoyed by a wider range of consumers, and wine certification and quality assessment are key elements in supporting the wine industry to develop new technologies for both wine making and selling processes. There have been many attempts to construct a more methodical approach to the assessment of wines, but most of them rely on objective decision rather than subjective judgement. In this paper, we propose a data mining approach to predict human wine taste preferences that is based on easily available analytical tests at the certification step. We used sequential forward selection and decision tree for this purpose. Experiments with the wine quality dataset from the UC Irvine Machine Learning Repository demonstrate the accuracies of 76.7% and 78.7% for red and white wines respectively.