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권강범,김은경,문형철,송용선,류도곤 한국전통의학연구소 2006 한국전통의학지 Vol.15 No.1
The aim of this study was to investigate the cytotoxic effect and its mechanism on Radix Aconiti(RA) extract in lung cancer cell lines. RA extract treatment decreased the cell viability in a dose-dependent fashions in lung cancer cells including A549, H460, H23 and H157 cells. Many investigators reported that A549 and H460 cells expressed wild-type p53, but H23 and H157 cells preserved mutated p53. After treatment with RA extract in A549 and H460 cells, we measured the expression of p53 protein levels using Western blot, analysis. In both cells treated with RA extracts, p53 protein expressions were increased in a dose-dependent manner. In our experiments, RA extracts also have cytotoxic effects in H23 and H157, which have mutated p53. Treatment with RA extract decreased bcl-2 protein expressions in both cells. These results suggest that RA extracts have cytotoxic effects via p53 expression increase and bcl-2 inhibitable pathways in A549, H460 cells and H23, H157 cells, respectively.
손창식,권강범,김상범,이호승,서은아,이호섭,류도곤 대한동의병리학회 2001 동의생리병리학회지 Vol.15 No.2
In order to elucidate toxic mechanism of myocardial damage and protective effect of herbal extract, Dansamyeum (丹參飮) against cytotoxic effect of xanthine oxidase/hypoxanthine(XO/HX) and cardioprotective effect of Dansamyeum (丹參飮) were examined by MTT assay and heart beating rate after cultured myocardial cells derived from neonatal mouse were treated with various concentrations of XO/HX, a free radical. The results of these experiments were fellows : XO/HX, a oxygen radical, decreased the survial rate on MTT assay in cultured myocardial cells. Dansmyeum(丹參欲) water extract have efficacy of increasing heart beating rate decreased by XO/HX in cultured myocardial cells. Radix Salviae Miltiorrhizae and Lignum Santali Album water extract have efficacy of increasing heart beating rate decreased by XO/HX in cultured myocardial cells. From above the results, it is suggested that XO/HX showed toxic effect in cultured myocardial cell derived from neonatal mouse and herbal extract such as Dansamyeum(丹參飮) is very effective in the prevetion of XO/HX cardiotoxicity. Key ward : Dansamyeum(丹參飮), Xanthine Oxidase/Hypoxanthine(XO/HX), myocardial Cell, Radix Salviae Miltiorrhizae, Lignum Santali Album, MTT, beating rate
Kwon, Kang-Beom,Kim, Eun-Kyung,Jeong, Eun-Sil,Lee, Young-Hoon,Lee, Young-Rae,Park, Jin-Woo,Ryu, Do-Gon,Park, Byung-Hyun WJG Press 2006 WORLD JOURNAL OF GASTROENTEROLOGY Vol.12 No.27
<P>To clarify the mechanism underlying the anti-diabetic activities of cortex cinnamomi extract (CCE).</P>
Kwon Jin-Beom,김세완,Kang Byoung-Ho,Yeom Se-Hyuk,Lee Wang-Hoon,Kwon Dae-Hyuk,이재성,강신원 나노기술연구협의회 2020 Nano Convergence Vol.7 No.28
InGaAs-based photodetectors have been generally used for detection in the short-wave infrared (SWIR) region. However, the epitaxial process used to grow these materials is expensive; therefore, InGaAs-based photodetectors are limited to space exploration and military applications. Many researchers have expended considerable efforts to address the problem of SWIR photodetector development using lead sulfide (PbS) quantum dots (QDs). Along with their cost-efficient solution processability and flexible substrate compatibility, PbS QDs are highly interesting for the quantum-size-effect tunability of their bandgaps, spectral sensitivities, and wide absorption ranges. However, the performance of PbS QD-based SWIR photodetectors is limited owing to inefficient carrier transfer and low photo and thermal stabilities. In this study, a simple method is proposed to overcome these problems by incorporating CdS in PbS QD shells to provide efficient carrier transfer and enhance the long-term stability of SWIR photodetectors against oxidation. The SWIR photodetectors fabricated using thick-shell PbS/CdS QDs exhibited a high on/off (light/dark) ratio of 11.25 and a high detectivity of 4.0 × 1012 Jones, which represents a greater than 10 times improvement in these properties relative to those of PbS QDs. Moreover, the lifetimes of thick-shell PbS/CdS QD-based SWIR photodetectors were significantly improved owing to the self-passivation of QD surfaces.
Kwon, Jin-Beom,Jeong, Hyun-Min,Kwon, Hyurk-Choon,Lee, Sang-Won,Lee, Jae-Sung,Kim, Sae-Wan,Kim, Ok-Sik,Kwon, Dae-Hyuk,Kang, Shin-Won Elsevier 2017 Sensors and actuators. B Chemical Vol.248 No.-
<P><B>Abstract</B></P> <P>People are interested in eating good foods as a way of increasing their quality of life. Research conducted on the quantitative detection and characterization of the taste components of foods has received significant attention in recent years. However, taste sensors with higher sensitivities are needed because the expectations of the public are constantly increasing. In this study, a cascoded gated lateral bipolar junction transistor (C-GLBJT) was developed and used in taste sensor applications for detecting five taste substances. The results showed that the sensitivity of the C-GLBJT taste sensor was 0–2.55μA/decade, and it can detect very low concentrations (down to 1fM) of five taste solutions. The developed integrated C-GLBJT sensor could be able to provide more precise information about foods to consumers and patients who are interested in their well-being. Also, it may be of great help to advertisers and businessmen by providing them with reproducible quantitative information about their products.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The cascaded gated lateral bipolar junction transistor (C-CLBJT) that has the high transconductance was developed and used in the taste sensor. </LI> <LI> The proposed taste sensor can detect five kinds of taste solutions which are very low concentration up to 1fM. </LI> <LI> Also, the proposed taste sensor has the sensitivities of 0–2.55μA/decade according to the types of lipid sensing membranes. </LI> <LI> The measuring capability of the proposed sensor is very large, and it can detect concentrations that are lower than the 1μM limit of human’s limit. </LI> <LI> Therefore, it can satisfy human expectations and may be of great help to enterprises through the quantification of the five kinds of tastes. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Prediction of Postoperative Lung Function in Lung Cancer Patients Using Machine Learning Models
( Oh Beom Kwon ),( Solji Han ),( Hwa Young Lee ),( Hye Seon Kang ),( Sung Kyoung Kim ),( Ju Sang Kim ),( Chan Kwon Park ),( Sang Haak Lee ),( Seung Joon Kim ),( Jin Woo Kim ),( Chang Dong Yeo ) 대한결핵 및 호흡기학회 2023 Tuberculosis and Respiratory Diseases Vol.86 No.3
Background: Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models. Methods: We extracted data from the Clinical Data Warehouse and developed three sets: set I, the linear regression model; set II, machine learning models omitting the missing data: and set III, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), Ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in 1 second measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set III. Predictive performance was evaluated by R<sup>2</sup> and mean squared error (MSE) in the three sets. Results: A total of 1,487 patients were included in sets I and III and 896 patients were included in set II. In set I, the R<sup>2</sup> value was 0.27 and in set II, LightGBM was the best model with the highest R<sup>2</sup> value of 0.5 and the lowest MSE of 154.95. In set III, LightGBM was the best model with the highest R<sup>2</sup> value of 0.56 and the lowest MSE of 174.07. Conclusion: The LightGBM model showed the best performance in predicting postoperative lung function.