• The Korean Journal of Nuclear Medicine
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• v.29 no.1
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• pp.79-83
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• 1995

Purpose : We analysed $^{99m}Tc-MAG_3$ renal scans to evaluate renal function of transplanted kidney and to detect various renal transplant complications, measuring the ratio of renal radioactivity at three minutes to that at 20 minutes(elimination index). Material and Methods : The fifty seven renal transplantation recipients were studied. There were 50 normal functioning transplanted kidneys as group I and 7 abnormal function-ing transplanted kidney, including 5 cases of acute renal rejection, 2 cases of acute tubular necrosis as group IIl. The protocol consisted of: (1) $^{99m}Tc-MAG_3$ 740MBq injection intravenously : (2) sequential imaging for 2min(60two-second images) followed by 30min(30 sixty-second images) : (3) drawing of region of interest(ROI) on renal imaging; (4) time-activity corves were generated from renal ROI after background subtraction, and time of maximum activity($T_{max}$) and half time of maximal peak radioactivity($T_{1/2}$) were produced in the renogram curve. (5) EI through Bischof-Delaloye method as determined on the renogram curve. Results : Normal group( I ) shows mean EI of 2.21(95.0% Confidence limit of 2.01-2.87), $T_{max}$ of 154 sec, $T_{1/2}$ of 1,139 sec. Abnormal group(II) shows mean EI of 0.74, $T_{max}$ of 1,466 sec, $T_{1/2}$ of 19,224 sec. The EI, $T_{max}$, $T_{1/2}$, BUN and serum creatinine values are significantly different between normal group(I) and abnormal group(II) (p<0.0001). Conclusion : By measuring EI with $^{99m}Tc-MAG_3$, renal function of transplanted kidney could be easily evaluated and various complications could be detected early.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.507-514
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• 2018

TSI (TPI-Slope Index) which is the combination of TPI (Topographic Position Index) and slope was newly proposed for landslide and applied to a landslide susceptibility model. To do this, we first compared the TPIs with various scale factors and found that TPI350 was the best fit for the study area. TPI350 was combined with slope to create TSI. TSI was evaluated using logistic regression. The evaluation showed that TSI can be used as a landslide factor. Then a logistic regression model was developed to assess the landslide susceptibility by adding other topographic factors, geological factors, and forestial factors. For this, landslide-related factors that can be extracted from DEM (Digital Elevation Model), soil map, and forest type map were collected. We checked these factors and excluded those that were highly correlated with other factors or not significant. After these processes, 8 factors of TSI, elevation, slope length, slope aspect, effective soil depth, tree age, tree density, and tree type were selected to be entered into the regression analysis as independent variables. Three models through three variable selection methods of forward selection, backward elimination, and enter method were built and evaluated. Selected variables in the three models were slightly different, but in common, effective soil depth, tree density, and TSI was most significant.

• International Journal of Industrial Entomology and Biomaterials
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• v.26 no.2
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• pp.81-88
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• 2013

Wet-spun silk fibers have attracted the attention of many researchers because of 1) the unique properties of silk as a biomaterial, including good biocompatibility and cyto-compatability and 2) the various methods available to control the structure and properties of the fiber. Cellulose nanofibrils (CNFs) have typically been used as a reinforcing material for natural and synthetic polymers. In this study, CNF-embedded silk fibroin (SF) nanocomposite fibers were prepared for the first time. The effects of CNF content on the rheology of the dope solution and the characteristics of wet-spun CNF/SF composite fibers were also examined. A 5% SF formic acid solution that contained no CNFs showed nearly Newtonian fluid behavior, with slight shear thinning. However, after the addition of 1% CNFs, the viscosity of the dope solution increased significantly, and apparent shear thinning was observed. The maximum draw ratio of the CNF/SF composite fibers decreased as the CNF content increased. Interestingly, the crystallinity index for the silk in the CNF/SF fibers was sequentially reduced as the CNF content was increased. This phenomenon may be due to the fact that the CNFs prevent ${\beta}$-sheet crystallization of the SF by elimination of formic acid from the dope solution during the coagulation process. The CNF/SF composite fibers displayed a relatively smooth surface with stripes, at low magnification (${\times}500$). However, a rugged nanoscale surface was observed at high magnification (${\times}10,000$), and the surface roughness increased with the CNF content.

• Journal of Periodontal and Implant Science
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• v.26 no.2
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• pp.542-556
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• 1996

Previous studies have shown that Magnoliae cortex and Ginkgo biloba extracts were showed on the antimicrobial and anti-inflammatory action, in vitro. The purpose of this study was to evaluate on the effect of antimicrobial and anti-inflammatory activity of Magnoliae cortex and Ginkgo biloba extracts containing dentifrice in gingivitis. 70 subjects with gingivitis were divided into an experimental group which performed normal oral hygiene procedure with Magnoliae cortex and Ginkgo biloba extracts containing dentifrice and a control group which also performed normal oral hygiene procedure with the same dentifrice without the natural extracts and completed a doubleblind, cross-over study. At baseline and 3 weeks, subjects were assayed for clinical study by plaque index, gingival index, pocket depth, GCF rate, and microbiological study by subgingival dental plaque bacterial morphotypes by phase contrast microscopy, total anaerobes, total aerobes, Black pigmented bacteroides, A.actionomycetemcomitans, A.viscosus, C.rectus, Ssenguis; P.gingivalis, P.intennedia by bacterial culture and immunofluorescence microscopy. After 3 weeks using their respective dentifrices, reductions in the clinical indices of subjects were similar between the experimental dentifrice group and a control dentifrice group except for statistically significant much reductions in PI, GI, and GCF rate in the experimental dentifrice group as compared to control dentifrice group. Also statistically significant reductions in the motile rods and Spirochetes were found in both experimental group to compare with control group, however statistically much reduction in total anaerobes, Black pigmented bacteroides, and P.gingivalis, P.intennedia were found in the experimental dentifrice group as compared to control dentifrice group. This results indicates that Magnoliae cortex and Ginkgo biloba extracts containing dentifrice might be useful for elimination of gingival inflammation.

• Journal of Agricultural Extension & Community Development
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• v.25 no.2
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• pp.71-83
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• 2018

This study aims to analyze the competitiveness of agricultural products in Korea, China and Japan and the effect of increasing imports from Korea and China. and then we discussed how to cooperate in the agricultural trade field between the three countries. The results are summarized as follows. First, The intra-industry trade of agricultural products was the most active in Korea and China, followed by the intra-industry trade index between Korea and Japan. The intra-industry trade between China and Japan were the lowest. Second, The mutual complementarity of agricultural products trade between Korea, China and Japan is mostly high. Among them, Korea and Japan are the highest, while Japan and China have the lowest complementarity. Third, it was found that in tariff elimination, imports of rice and meat products increased the most, while the import growth rate of green tea, meat products and ginseng increased the most. Finally, the three countries in Korea, China, and Japan can consider the way to increase the trade of agricultural products in the region by internalizing the trade of complementary items while maintaining a constant level of production of mutually competitive products.

• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.1729-1742
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• 2017

In designing System Protection Schemes (SPSs) in power systems, protecting transmission network against extreme undesired conditions becomes a significant challenge in mitigating the transmission line overloading. This paper presents an intelligent Special Protection and Control Scheme (SPCS) using of Differential Evolution with Adaptive Mutation (DEAM) approach to obtain the optimum generation rescheduling to solve the transmission line overloading problem in system contingency conditions. DEAM algorithm employs the attraction-repulsion idea that is applied in the electromagnetism-like algorithm to support the mutation process of the conventional Differential Evolution (DE) algorithm. Different N-1 contingency conditions under base and increase load demand are considered in this paper. Simulation results have been compared with those acquired from Genetic Algorithm (GA) application. Minimum severity index has been considered as the objective function. The final results show that the presented DEAM method offers better performance than GA in terms of faster convergence and less generation fuel cost. IEEE 30-bus test system has been used to prove the effectiveness and robustness of the proposed algorithm.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.30
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• pp.145-174
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• 2006

An anti-dumping has become the trade policy of choice for developing countries as well as advanced countries, hence it is the impending issue to the export-oriented countries including Korea. After colligating the analysis on the trade and industrial policy between Korea and China as well as the analysis on the preceding research, the main reasons of anti-dumping were selected as followings; an unemployment rate, real GDP growth rate and consumer price increase as internal factors, and trade balance, regional coefficient and trade specification index as external factors. Then, the research on how the above seven variable factors can affect the number of anti-dumping measures was accomplished. For the empirical analysis, the above information was used after reorganizing them by on the quarterly basis. Through the use of the correlation analysis, backward elimination of multiple regression analysis model and time-series analysis, it has appeared that the unemployment rate appeared to be the most important factors of anti-dumping measures in addition to the increase rate of trade balance. The variable such as the unemployment rate is uncontrollable for us, so it is appropriate to establish and operate an preemptive monitoring system based on the increasing rate of the amount of export and increasing rate of trade surplus.

• Journal of Power Electronics
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• v.18 no.2
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• pp.445-455
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• 2018

A novel algorithm is proposed to regulate the neutral point potential in neutral point clamped three-level inverters. Oscillations of the neutral point potential and an unbalanced dc-link voltage cause distortions of the output voltage. Large capacitors, which make the application costly and bulky, are needed to eliminate oscillations. Thus, the algorithm proposed in this paper utilizes the finite-control-set model predictive control and the multistage medium vector to solve these issues. The proposed strategy consists of a two-step prediction and a cost function to evaluate the selected multistage medium vector. Unlike the virtual vector method, the multistage medium vector is a mixture of the virtual vector and the original vector. In addition, its amplitude is variable. The neutral point current generated by it can be used to adjust the neutral point potential. When compared with the virtual vector method, the multistage medium vector contributes to decreasing the regulation time when the modulation index is high. The vectors are rearranged to cope with the variable switching frequency of the model predictive control. Simulation and experimental results verify the validity of the proposed strategy.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.6
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• pp.789-799
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• 1999

In this paper, the optimization of fuzzy inference systems is proposed for fuzzy model of nonlinear systems. A fuzzy model needs to be identified and optimized by means of the definite and systematic methods, because a fuzzy model is primarily acquired by expert's experience. The proposed rule-based fuzzy model implements system structure and parameter identification using the HCM(Hard C-mean) clustering method, genetic algorithms and fuzzy inference method. Two types of inference methods of a fuzzy model are the simplified inference and linear inference. in this paper, nonlinear systems are expressed using the identification of structure such as input variables and the division of fuzzy input subspaces, and the identification of parameters of a fuzzy model. To identify premise parameters of fuzzy model, the genetic algorithms is used and the standard least square method with the gaussian elimination method is utilized for the identification of optimum consequence parameters of fuzzy model. Also, the performance index with weighting factor is proposed to achieve a balance between the performance results of fuzzy model produced for the training and testing data set, and it leads to enhance approximation and predictive performance of fuzzy system. Time series data for gas furnace and sewage treatment process are used to evaluate the performance of the proposed model.

• Proceedings of the Korean Society of Applied Pharmacology
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• 2003.11a
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• pp.107-107
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• 2003

The purpose of this study is to examine that the efflux transport system for choline from brain to blood is present at the blood-brain barrier (BBB) using brain efflux index (BEI) method. ［$^3$H］Choline was microinjected into parietal cortex area 2 (Par2) region of rat brain, and was eliminated from the brain with an apparent elimination half life of 45 min. The BBB efflux clearance of ［$^3$H］choline was 0.12 $m\ell$/min/g brain, which was calculated from the efflux rate constant (1.5${\times}$10$\^$-2/ min$\^$-1/) and the distribution volume in the brain slice (8.1 $m\ell$/g brain). This process was saturable and significantly inhibited by various organic cationic compounds including hemicholinium-3, tetraethylammonium chloride (TEA) and verapamil, by antioxidant, ${\alpha}$-phenyl-n-tert-butyl nitrone (PBN), and by Alzheimer's disease therapeutics, such as acetyl $\ell$-carnitine and tacrine. In conclusion, this finding is the first direct in vivo evidence that choline is transported from brain to the blood across the BBB via a carrier-mediated efflux transport process.