• Journal of Microbiology and Biotechnology
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• v.28 no.10
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• pp.1635-1644
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• 2018

Asterias amurensis (starfish) is a marine organism that is harmful to the fishing industry, but is also a potential source of functional materials. The present study was conducted to analyze the profiles of fatty acids extracted from A. amurensis tissues and their anti-inflammatory effects on RAW264.7 macrophage cells. In different tissues, the component ratios of saturated fatty acids, monounsaturated fatty acids, and polyunsaturated fatty acids differed; particularly, polyunsaturated fatty acids such as dihomo-gamma-linolenic acid (20:3n-6) and eicosapentaenoic acid (20:5n-3) were considerably different. In lipopolysaccharide-stimulated RAW264.7 cells, fatty acids from A. amurensis skin, gonads, and digestive glands exhibited anti-inflammatory activities by reducing nitric oxide production and inducing nitric oxide synthase gene expression. Asterias amurensis fatty acids effectively suppressed the expression of inflammatory cytokines such as tumor necrosis $factor-{\alpha}$, interleukin-$1{\beta}$, and interleukin-6 in lipopolysaccharide-stimulated cells. Cyclooxygenase-2 and prostaglandin $E_2$, which are critical inflammation biomarkers, were also significantly suppressed. Furthermore, A. amurensis fatty acids reduced the phosphorylation of nuclear $factor-{\kappa}B$ p-65, p38, extracellular signal-related kinase 1/2, and c-Jun N-terminal kinase, indicating that these fatty acids ameliorated inflammation through the nuclear $factor-{\kappa}B$ and mitogen-activated protein kinase pathways. These results provide insight into the anti-inflammatory mechanism of A. amurensis fatty acids on immune cells and suggest that the species is a potential source of anti-inflammatory molecules.

• Childhood Kidney Diseases
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• v.22 no.2
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• pp.91-96
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• 2018

Nephrotic syndrome in the first year of life, characterized by renal dysfunction and proteinuria, is associated with a heterogeneous group of disorders. These disorders are often related to genetic mutations, but the syndrome can also be caused by a variety of other diseases. We report an infant with nephrotic syndrome associated with a neuroblastoma. A 6-month-old girl was admitted with a 10% weight loss over 10 days and nephrotic-range proteinuria. She was ill-looking, and her blood pressure was higher than normal for her age. Her cystatin-C glomerular filtration rate was decreased, and levels of plasma renin, aldosterone, and catecholamines were elevated. Renal ultrasonography and abdominal computed tomography showed a retroperitoneal prevertebral mass encasing both renal arteries and the left renal vein. The mass was partially resected laparoscopically, and the pathologic diagnosis was neuroblastoma. Findings on a simultaneous renal biopsy were unremarkable. The patient was treated with chemotherapy and several anti-hypertensive drugs, including an alpha blocker. Two months later, the mass had decreased in size and the proteinuria and hypertension were gradually improving. In an infant with abnormal renin-angiotensin system activation, severe hypertension, and nephrotic-range proteinuria, neuroblastoma can be considered in the differential diagnosis.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.549-549
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• 2012

Early detection of cancer biomarkers in the blood is of vital importance for reducing the mortality and morbidity in a number of cancers. From this point of view, immunosensors based on nanowire (NW) and carbon nanotube (CNT) field-effect transistors (FETs) that allow the ultra-sensitive, highly specific, and label-free electrical detection of biomarkers received much attention. Nevertheless 1D nano-FET biosensors showed high performance, several challenges remain to be resolved for the uncomplicated, reproducible, low-cost and high-throughput nanofabrication. Recently, two-dimensional (2D) graphene and reduced GO (RGO) nanosheets or films find widespread applications such as clean energy storage and conversion devices, optical detector, field-effect transistors, electromechanical resonators, and chemical & biological sensors. In particular, the graphene- and RGO-FETs devices are very promising for sensing applications because of advantages including large detection area, low noise level in solution, ease of fabrication, and the high sensitivity to ions and biomolecules comparable to 1D nano-FETs. Even though a limited number of biosensor applications including chemical vapor deposition (CVD) grown graphene film for DNA detection, single-layer graphene for protein detection and single-layer graphene or solution-processed RGO film for cell monitoring have been reported, development of facile fabrication methods and full understanding of sensing mechanism are still lacking. Furthermore, there have been no reports on demonstration of ultrasensitive electrical detection of a cancer biomarker using the graphene- or RGO-FET. Here we describe scalable and facile fabrication of reduced graphene oxide FET (RGO-FET) with the capability of label-free, ultrasensitive electrical detection of a cancer biomarker, prostate specific antigen/${\alpha}$ 1-antichymotrypsin (PSA-ACT) complex, in which the ultrathin RGO channel was formed by a uniform self-assembly of two-dimensional RGO nanosheets, and also we will discuss about the immunosensing mechanism.

• Korean Journal of Materials Research
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• v.12 no.4
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• pp.259-263
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• 2002

Three different ribbons of amorphous $Til_{1-x}Be_x$ alloys such as $Ti_{0.59}Be_{0.41},\;Ti_{0.61}Be_{0.39}\;and\;Ti_{0.63}Be_{0.37}$ were made by melt-spinning method to be used as brazing filler metals for joining Zircaloy-4 nuclear fuel cladding tubes, and their crystallization behavior as well as microstructure of the brazed zone were examined. The crystallization behavior was investigated in teams of thermal stability, crystallization temperature and activation energy. The crystallization of the $Ti_{1-x}Be_x$ alloys proceeded in two steps by the formation of ${\alpha}$-Ti at a lower temperature and of TiBe at a higher temperature. The crystallization temperature and activation energy of $Ti_{1-x}Be_x$ alloys were higher and larger than those of $Zr_{1-x}Be_x$ alloys and PVD Be. Those resulted thinner joining layer with $Ti_{1-x}Be_x$ alloys, which kept sound thickness of Zircaloy-4 nuclear fuel cladding tubes after brazing. But in the brazed zones made by $Ti_{1-x}Be_x$ filler metals, a little solid-solution layers composed of Zr and Ti were formed toward the Zr cladding tube and Zr was detected in the brazed zones. Microstructure of brazed zone was changed from globular to dentrite with decreasing Be content in the $Ti_{1-x}Be_x$ filler metal.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.137-148
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• 2017

Researches on the Artificial Intelligence has been explosively activated in various fields since the advent of AlphaGo. Particularly, researchers on the application of multi-layer neural network such as deep learning, and various machine learning algorithms are being focused actively. In this paper, we described a development of an artificial intelligence Janggi game based on reinforcement learning algorithm and MCTS (Monte Carlo Tree Search) algorithm with accumulated game data. The previous artificial intelligence games are mostly developed based on mini-max algorithm, which depends only on the results of the tree search algorithms. They cannot use of the real data from the games experts, nor cannot enhance the performance by learning. In this paper, we suggest our approach to overcome those limitations as follows. First, we collects Janggi expert's game data, which can reflect abundant real game results. Second, we create a graph structure by using the game data, which can remove redundant movement. And third, we apply the reinforcement learning algorithm and MCTS algorithm to select the best next move. In addition, the learned graph is stored by object serialization method to provide continuity of the game. The experiment of this study is done with two different types as follows. First, our system is confronted with other AI based system that is currently being served on the internet. Second, our system confronted with some Janggi experts who have winning records of more than 50%. Experimental results show that the rate of our system is significantly higher.

• PNF and Movement
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• v.14 no.2
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• pp.83-91
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• 2016

Purpose: The purpose of this study was both to examine the effects of proprioceptive neuromuscular facilitation (PNF) lower leg taping and treadmill training on the gait and balance abilities of patients with hemiplegia resulting from a stroke and to provide a taping method based on the PNF concept. Methods: Twenty patients with hemiplegia resulting from a stroke were randomly and equally assigned to a control group (n=10), which received treadmill training, and to an experimental group (n=10), which received PNF lower leg taping and treadmill training. The intervention was conducted five times per week for six weeks. In order to measure changes in the gait ability of the subjects, a 10-meter walking test (10MWT) and a 6-minute walking test (6MWT) were conducted, and in order to measure changes in the subjects' balance ability, a timed up and go test (TUG) was performed. In order to compare differences within each group before and after the intervention, a paired-t test was carried out, and in order to compare differences between the two groups, the analysis of covariance was utilized. All statistical significance levels were set at ${\alpha}=0.05$. Results: There were significant differences before and after the intervention within both groups in changes of 10MWT, 6MWT, and TUG (p<0.01). Regarding differences between the two groups, the experimental group underwent more effective changes than the control group in 6MWT and TUG (p<0.05). Conclusion: This study applied PNF lower leg taping and treadmill training to patients with hemiplegia resulting from a stroke, and this resulted in improvement in the subjects' gait and balance abilities. Taping and treadmill training based on the PNF concept is considered to be usefully applied as one of the programs to improve hemiplegic patients' gait and balance abilities.

• PNF and Movement
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• v.16 no.1
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• pp.75-83
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• 2018

Purpose: This study investigated the effects of proprioceptive neuromuscular facilitation (PNF) exercise on the range of motion (ROM), pain, and functional activity of patients who received total knee arthroplasty (TKA). The purpose of this study was to provide fundamental data regarding the use of PNF exercise among patients with musculoskeletal disease. Methods: Fourteen patients who received TKA were randomly divided into an experimental group (n=7) that took part in PNF exercise and a control group (n=7) that performed general rehabilitation exercise. Both groups performed the respective exercises for 30 minutes, five times a week for 2 weeks. For the measurement of ROM, the range of knee flexion was measured using a clinometer smartphone application. A visual analogue scale (VAS) was used for the measurement of the level of pain. The timed up and go test (TUG) was conducted to measure functional activity. A paired t-test was performed to compare within-group changes before and after the PNF exercise. Differences between the experimental group and control group were analyzed by an independent t-test. For all tests, the level of statistical significance was set at ${\alpha}=0.05$. Results: After the exercise, there was a significant within-group change in VAS and TUG scores in the experimental group and control group (p<0.01). There was also a significant between-group difference in VAS and TUG scores after the intervention (p<0.05). Conclusion: General rehabilitation exercise is commonly applied as a treatment for TKA patients and is relatively effective. The application of PNF exercise may be useful in such patients, considering its effects on ROM improvement, pain reduction, and functional enhancement.

• PNF and Movement
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• v.16 no.1
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• pp.93-103
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• 2018

Purpose: The aim of this study was to investigate the effect of goal-oriented side walking training on balance and gait in chronic stroke patients. Methods: This study involved 18 chronic stroke patients who were divided into an experimental group (n=9) and a control group (n=9). The experimental group performed goal-oriented side walking training, and the control group performed general side walking training. The walking variables assessed were walking speed, stride length, and 10-m walking time. The balance variables assessed were foot pressure, timed up and go test (TUG), and Berg balance scale (BBS). These variables were measured before and after the exercise. Wilcoxon's signed-rank test was used to compare the participants' performances before and after the intervention in both groups. The Mann-Whitney U test was conducted for between-group comparisons after the intervention. Statistical significance was set at ${\alpha}=0.05$ Results: Walking speed, stride length, 10-m walking time, TUG, and foot pressure were significantly improved in both groups after the exercise (p<0.05). The between-group comparison showed a significant improvement in the goal-oriented side walking group (p<0.05). However, there were no significant between-group differences in 10-m walking times (p>0.05) and BBS (p=0.05). Conclusion: The results revealed that goal-oriented side walking training was effective in improving the balancing and walking ability of chronic stroke patients.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.818-837
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• 2018

Technological innovation has inherent difficulties, largely due to the uncertainties of technology. Thus, the forecasting methodology to reduce the risk of uncertainty in the innovation process has been presented both in quantitative and qualitative fields. On the other hand, big data and artificial intelligence have attracted great interest recently, and deep learning, which is one of the algorithms of AlphaGo, is showing excellent performance. In this study, deep learning methodology was applied to the prediction of innovation performance. To make the prediction model, we used KIS 2016 data. The input factors were importance of information source and innovation objectives and the output factor was innovation performance index, which was calculated for this study. As a result of the analysis, it can be confirmed that the accuracy of prediction is improved compared with the previous studies. As learning progressed, the degree of freedom of prediction also improved.

• Journal of Microbiology and Biotechnology
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• v.24 no.7
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• pp.969-978
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• 2014

The aprE2 gene with its prosequence from Bacillus subtilis CH3-5 was overexpressed in Escherichia coli BL21(DE3) by using plasmid pET26b(+). After IPTG induction, active and mature AprE2 was produced when cells were grown at $20^{\circ}C$, whereas inactive and insoluble enzyme was produced in a large amount when cells were grown at $37^{\circ}C$. The insoluble fraction was resuspended with 6 M guanidine-HCl and dialyzed against 2 M Tris-HCl (pH 7.0) or 0.5 M sodium acetate (pH 7.0) buffer. Then active AprE2 was regenerated and purified by a Ni-NTA column. Purified AprE2 from the soluble fraction had a specific activity of $1,069.4{\pm}42.4U/mg$ protein, higher than that from the renatured insoluble fraction. However, more active AprE2 was obtained by renaturation of the insoluble fraction. AprE2 was most stable at pH 7 and $40^{\circ}C$, respectively. The fibrinolytic activity of AprE2 was inhibited by PMSF, but not by EDTA and metal ions. AprE2 degraded $A{\alpha}$ and $B{\beta}$ chains of fibrinogen quickly, but not the ${\gamma}$-chain. AprE2 exhibited the highest specificity for N-succinyl-Ala-Ala-Pro-Phe-pNA. The $K_m$ and $k_{cat}/K_m$ of AprE2 was 0.56 mM and $3.10{\times}10^4S^{-1}M^{-1}$, respectively.