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SeongSu Lee,JeongSeok Seo,SungRae Kim,JoEun Jeong,BeomWoo Nam,JuYul Lee,HeeJin Lee,Chul Lee,ChangUk Lee,InHo Paik,JeongHo Chae,SookHee Chai,SoonJib Yoo,WangYoun Won,DaiJin Kim 대한신경정신의학회 2011 PSYCHIATRY INVESTIGATION Vol.8 No.2
Objective-Our aim was to evaluate the changes in blood glucose control and lipid profiles after 2-months of smoking cessation in healthy males. Methods-Smoking abstinence was evaluated through self-report and urine cotinine levels. 12 individuals who succeeded in quitting smoking were analyzed. Fasting values of glucose and insulin were used to estimate the β-cell activity and insulin resistance was evaluated using the Homeostasis Model Assessment (HOMA) and Quantitative Insulin Sensitivity Check Index (QUICKI). Results-The data showed that the subjects had a significant increase in weight, body mass index and fasting plasma glucose levels after smoking cessation. The HOMA-Insulin Resistance and the HOMA β-cell function increased significantly (p=0.005, p=0.047 respectively). The QUICKI showed a significant decrease (p=0.005). In addition, the low-density lipoprotein cholesterol levels decreased significantly (p=0.028); however, changes in the high-density lipoprotein cholesterol, the triglyceride and total cholesterol levels were not significant (p=0.284, p=0.445 respectively). Conclusion-During the initial stage of smoking abstinence, insulin resistance increased and insulin sensitivity decreased due to elevated body weight and fat composition. Therefore, it is important to educate individuals that stop smoking about the necessity of weight control during smoking cessation programs.
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.
Negative magnetostrictive magnetoelectric coupling of BiFeO3
Lee, Sanghyun,Fernandez-Diaz, M. T.,Kimura, H.,Noda, Y.,Adroja, D. T.,Lee, Seongsu,Park, Junghwan,Kiryukhin, V.,Cheong, S.-W.,Mostovoy, M.,Park, Je-Geun American Physical Society 2013 Physical review. B, Condensed matter and materials Vol.88 No.6
Giant magneto-elastic coupling in multiferroic hexagonal manganites
Lee, Seongsu,Pirogov, A.,Kang, Misun,Jang, Kwang-Hyun,Yonemura, M.,Kamiyama, T.,Cheong, S.-W.,Gozzo, F.,Shin, Namsoo,Kimura, H.,Noda, Y.,Park, J.-G. Nature Publishing Group 2008 Nature Vol.451 No.7180
The motion of atoms in a solid always responds to cooling or heating in a way that is consistent with the symmetry of the given space group of the solid to which they belong. When the atoms move, the electronic structure of the solid changes, leading to different physical properties. Therefore, the determination of where atoms are and what atoms do is a cornerstone of modern solid-state physics. However, experimental observations of atomic displacements measured as a function of temperature are very rare, because those displacements are, in almost all cases, exceedingly small. Here we show, using a combination of diffraction techniques, that the hexagonal manganites RMnO<SUB>3</SUB> (where R is a rare-earth element) undergo an isostructural transition with exceptionally large atomic displacements: two orders of magnitude larger than those seen in any other magnetic material, resulting in an unusually strong magneto-elastic coupling. We follow the exact atomic displacements of all the atoms in the unit cell as a function of temperature and find consistency with theoretical predictions based on group theories. We argue that this gigantic magneto-elastic coupling in RMnO<SUB>3</SUB> holds the key to the recently observed magneto-electric phenomenon in this intriguing class of materials.
How do readers choose to undergo treatments based on medical articles?
Lee, Ye-Seul,Kim, Jeongjoo,Joo, Seongsu,Go, Byeongho,Lee, Hyangsook,Chae, Younbyoung Williams & Wilkins Co 2016 Medicine Vol.95 No.49
<P><B>Abstract</B></P><P>The purpose of this study is to study the reader's cognitive process in reading medical articles and its influence on the decision-making process. Twenty-four participants completed a survey pertaining to 36 medical articles on new treatments with similar text structures and similar titles. Participants rated each article on its level of interest, informativeness, and reliability, and were asked whether they would choose the treatments in the news article. A cognitive decision-making model can be applied to health contexts, in which the reader's subjective ratings on interest, informativeness, and reliability were positively associated with choosing new treatments. The decision-making process path from the perception of informativeness was mediated by the reliability of the news article. Interest was positively linked to informativeness, although it was not directly associated with reliability. This study shows that readers’ subjective ratings on health information can indicate their decision-making. Artifacts in the information that might incite emotions or interest, such as framing, can affect the reader's decision-making process.</P>