• Journal of Life Science
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• v.15 no.6 s.73
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• pp.968-971
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• 2005

The Melanocortin-4 receptor gene (MC4R) regulates the energy balance and the genetic basis of obesity. A polymorphism in the porcine melanocortin-4 receptor has previously shown to be associated with growth, fat deposition and feed intake. In this study, the polymorphism of the gene was studied in several pig breeds of Duroc, Landrace, Berkshire, and Yorkshire. The results showed that the frequencies of MC4R genotype varied among those breeds. Association analyses were also performed between the MC4R polymorphism and average daily gain, feed conversion ratio, backfat thickness and lean percentage phenotypes. The results strongly support that the MC4R polymorphism can be used DNA marker selection indicator for economically important traits for pig breeding program in Korea.

• Research in Plant Disease
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• v.9 no.2
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• pp.89-93
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• 2003

An isolate of Tobacco mosaic virus (TMV) was isolated from potato cultivar ‘Chubak’ showing vein clearing and mild mosaic at Namhae in Korea. This isolate, TMV-St, was differentiated from other tobamoviruses based on biological properties, serological relationships and nucleotide sequence analyses of coat protein genes. TMV-St caused typical symptoms on four indicator plants as compared to the tobamovirus of TMV-U1, Pepper mild mottle virus (PMMoV), and Tomato mosaic virus (ToMV), which caused economic losses in Solanaceous vegetables, tomato, pepper, and eggplant. Remarkably, the TMV-St induced distinctly different symptom of systemic chlorotic spots on Chenophodium murale. On C. murale, Gomphorena globosa, and Nic-otiana rustica, the four viruses were classed by the virulence of systemic or local infections. In serological test TMV-St antiserum showed a precipitation line with each other tabamovirus. The CP gene of TMV-St contain 477 nucleotides, and the nucleotides sequence was the most similar to that of TMV-U1.

• Journal of Korea Water Resources Association
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• v.49 no.4
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• pp.283-291
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• 2016

As the infrastructures and populations are the condensed in the mega city, urban flood management becomes very important due to the severe loss of lives and properties. For the more accurate calculation of runoff from the urban catchment, hourly or even minute rainfall data have been utilized. However, the time steps of the measured or forecasted data under climate change scenarios are longer than hourly, which causes the difficulty on the application. In this study, daily rainfall data was disaggregated into hourly using the stochastic method. Based on the historical hourly precipitation data, Gram Schmidt orthonormalization process and K-Nearest Neighbor Resampling (KNNR) method were applied to disaggregate daily precipitation into hourly. This method was originally developed to disaggregate yearly runoff data into monthly. Precipitation data has smaller probability density than runoff data, therefore, rainfall patterns considering the previous and next days were proposed as 7 different types. Disaggregated rainfall was resampled from the only same rainfall patterns to improve applicability. The proposed method was applied rainfall data observed at Seoul weather station where has 52 years hourly rainfall data and the disaggregated hourly data were compared to the measured data. The proposed method might be applied to disaggregate the climate change scenarios.

• The Korean Journal of Physiology and Pharmacology
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• v.12 no.3
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• pp.101-109
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• 2008

The aim of the present study was to examine the effects of ketamine, a dissociative anesthetics, on secretion of catecholamines (CA) secretion evoked by cholinergic stimulation from the perfused model of the isolated rat adrenal gland, and to establish its mechanism of action, and to compare ketamine effect with that of thiopental sodium, which is one of intravenous barbiturate anesthetics. Ketamine ($30{\sim}300{\mu}M$), perfused into an adrenal vein for 60 min, dose- and time-dependently inhibited the CA secretory responses evoked by ACh (5.32 mM), high $K^+$ (a direct membrane-depolarizer, 56 mM), DMPP (a selective neuronal nicotinic NN receptor agonist, $100{\mu}M$) and McN-A-343 (a selective muscarinic M1 receptor agonist, $100{\mu}M$). Also, in the presence of ketamine ($100{\mu}M$), the CA secretory responses evoked by veratridine (a voltage-dependent $Na^+$ channel activator, $100{\mu}M$), Bay-K-8644 (an L-type dihydropyridine $Ca^{2+}$ channel activator, $10{\mu}M$), and cyclopiazonic acid (a cytoplasmic $Ca^{2+}$-ATPase inhibitor, $10{\mu}M$) were significantly reduced, respectively. Interestingly, thiopental sodium ($100{\mu}M$) also caused the inhibitory effects on the CA secretory responses evoked by ACh, high $K^+$, DMPP, McN-A-343, veratridine, Bay-K-8644, and cyclopiazonic acid. Collectively, these experimental results demonstrate that ketamine inhibits the CA secretion evoked by stimulation of cholinergic (both nicotinic and muscarinic) receptors and the membrane depolarization from the isolated perfused rat adrenal gland. It seems likely that the inhibitory effect of ketamine is mediated by blocking the influx of both $Ca^{2+}$ and $Na^+$ through voltage-dependent $Ca^{2+}$ and $Na^+$ channels into the rat adrenal medullary chromaffin cells as well as by inhibiting $Ca^{2+}$ release from the cytoplasmic calcium store, which are relevant to the blockade of cholinergic receptors. It is also thought that, on the basis of concentrations, ketamine causes similar inhibitory effect with thiopental in the CA secretion from the perfused rat adrenal medulla.

• The Korean Journal of Mycology
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• v.31 no.3
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• pp.161-167
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• 2003

Neutral salt soluble [0.9% NaCl (Fr. NaCl)], hot water soluble (Fr. HW) and methanol soluble (Fr. MeOH) materials were extracted from Daedaleopsis tricolor. In vitro cytotoxicity tests, Fr. HW was not cytotoxic against cancer cell lines such as Sarcoma 180, HepG2 and HT-29 at the concentration of $0{\sim}2,000\;{\mu}g/ml$, while Fr. NaCl and Fr. MeOH were cytotoxic to the cell lines. Intraperitoneal injection with Fr. NaCl showed antitumor effect with life prolongation of 77.4% in mice inoculated with Sarcoma 180. Fr. NnCl and Fr. HW improved proliferation of spleen cells and the immunopotentiation activity of B lymphocyte by increasing spleen cells and the alkaline phosphatase activity by $1.7{\sim}2.4\;and\;2.2{\sim}8.7$ folds, respectively. Fr, NaCl generated $90\;{\mu}M$ of nitric oxide (NO) when cultured with RAW 264.7 at the concentration of $50\;{\mu}g/ml$, while lipopolysaccharide, a positive control, produced $79{\mu}M$. Intraperitoneal injection with Fr. NaCl (50 mg/kg body weight) increased the numbers of peritoneal exudate cells and circulating leukocytes by 10 folds and two folds, respectively, than in the control group. The antitumor effect of D, tricolor was likely due to immunopotentiation activity.

• Korean Journal of Soil Science and Fertilizer
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• v.33 no.4
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• pp.247-252
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• 2000

Polyamine concentrations were clearly enhanced in leaves and chloroplasts by Cd treatment, but not in thylakoid and PSII. It appeared that newly synthesized polyamines by Cd are distributed in stromal space. The accumulated polyamines in stromal space could not be adjacent to thylakoid membranes, suggesting that they are already saturated. The levels of putrescine and spermine were about 36 and 20 fold lower in chloroplast than in whole leaf cells respectively, whereas agmatine level was only 3.7 fold lower. The inhibitory effect of Cd nn $O_2$ evolving process was obviously alleviated by 0.2mM spermine supplement. Polyamines stimulated $O_2$ evolution within the range of 0.5mM in spinach thylakoids. It was also found that stimulating effect of polyamines is about 2 fold higher in dicothyledonous spinach than in monocotyledonous wheat at same concentrations. Furthermore, the enhanced activity of $O_2$ evolution was lowered rather by agmatine treatment than by putrescine treatment in wheat, suggesting a difference between monocot and dicot.

• Journal of Korea Water Resources Association
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• v.52 no.2
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• pp.141-148
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• 2019

When simulating the daily rainfall amount by existing Markov Chain model, it is general to simulate the rainfall occurrence and to estimate the rainfall amount randomly from the distribution which is similar to the daily rainfall distribution characteristic using Monte Carlo simulation. At this time, there is a limitation that the characteristics of rainfall intensity and distribution by time according to the rainfall duration are not reflected in the results. In this study, 1-day, 2-day, 3-day, 4-day rainfall event are classified, and the rainfall amount is estimated by rainfall duration. In other words, the distributions of the total amount of rainfall event by the duration are set using the Kernel Density Estimation (KDE), the daily rainfall in each day are estimated from the distribution of each duration. Total rainfall amount determined for each event are divided into each daily rainfall considering the type of daily distribution of the rainfall event which has most similar rainfall amount of the observed rainfall using the k-Nearest Neighbor algorithm (KNN). This study is to develop the limitation of the existing rainfall estimation method, and it is expected that this results can use for the future rainfall estimation and as the primary data in water resource design.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.5
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• pp.94-104
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• 2000

The accuracy and reliability of the target tracking is very critical issue in the design of automotive collision warning radar A significant problem in multi-target tracking (MTT) is the target-to-measurement data association If an incorrect measurement is associated with a target, the target could diverge the track and be prematurely terminated or cause other targets to also diverge the track. Most methods for target-to-measurement data association tend to coalesce neighboring targets Therefore, many algorithms have been developed to solve this data association problem. In this paper, a new multi-target data association method based on order statistics is described The new approaches. called the order statistics probabilistic data association (OSPDA) and the order statistics joint probabilistic data association (OSJPDA), are formulated using the association probabilities of the probabilistic data association (PDA) and the joint probabilistic data association (JPDA) filters, respectively Using the decision logic. an optimal or near optimal target-to-measurement data association is made A computer simulation of the proposed method in a heavy cluttered condition is given, including a comparison With the nearest-neighbor CNN). the PDA, and the JPDA filters, Simulation results show that the performances of the OSPDA filter and the OSJPDA filter are superior to those of the PDA filter and the JPDA filter in terms of tracking accuracy about 18% and 19%, respectively In addition, the proposed method is implemented using a developed digital signal processing (DSP) board which can be interfaced with the engine control unit (ECU) of car engine and with the d?xer through the controller area network (CAN)

• Korean Journal of Remote Sensing
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• v.31 no.3
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• pp.205-214
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• 2015

In this study, a novel land-cover classification framework for multi-temporal SAR data is presented that can combine multiple features extracted through data transforms and multiple classifiers. At first, data transforms using principle component analysis (PCA) and 3D wavelet transform are applied to multi-temporal SAR dataset for extracting new features which were different from original dataset. Then, three different classifiers including maximum likelihood classifier (MLC), neural network (NN) and support vector machine (SVM) are applied to three different dataset including data transform based features and original backscattering coefficients, and as a result, the diverse preliminary classification results are generated. These results are combined via a majority voting rule to generate a final classification result. From an experiment with a multi-temporal ENVISAT ASAR dataset, every preliminary classification result showed very different classification accuracy according to the used feature and classifier. The final classification result combining nine preliminary classification results showed the best classification accuracy because each preliminary classification result provided complementary information on land-covers. The improvement of classification accuracy in this study was mainly attributed to the diversity from combining not only different features based on data transforms, but also different classifiers. Therefore, the land-cover classification framework presented in this study would be effectively applied to the classification of multi-temporal SAR data and also be extended to multi-sensor remote sensing data fusion.

• Journal of Pharmacopuncture
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• v.11 no.1
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• pp.83-97
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• 2008

Objectives : We investigated the effects of distilled Rehmannia glutinosa Herbal Acupuncture on autonomic nervous system with the Heart Rate Variability(HRV) in adult man. as well as we tried to observe how distilled Rehmannia glutinosa Herbal Acupuncture on the balance of the autonomic nervous system. Methods : We investigated on 58 healthy volunteers consisted of 28 subjects in experiment(distilled Rehmannia glutinosa Herbal Acupuncture) group and 30 subjects in control(Normal Saline) group. Study form was a randomized, placebo-controlled, double-blind clinical trial. 28 subjects in experiment group were injected distilled Rehmannia glutinosa Herbal Acupuncture at $GB_{21}$(Kyonjong) and 30 subjects in control group were injected Normal Saline at $G_{21}$(Kyonjong). except of 2 subjects(in control group) who can't be measured and 6 subjects(2 in experiment group and 4 in control group) who move or make unforceable error during measuring. Finally 26 subject in experiment group and 24 subject in control group are studied. We measured HRV by PolyG-I on 7 times : before and after injection per 5 minutes during 30 minutes. The SPSS 10.0 for windows was used to analyze the data and the paired t-test(in group) and Student t-test(between two groups) were used to verify the result. Results : 1. After distilled Rehmannia glutinosa Herbal Acupuncture injection, Mean HRV is significantly low only for first 5 minute, SDNN is significantly high after 5 minute, Complexity is significantly low only from 20 minute to 25 minute. HRV index is significantly high for first 5minute and from 10 minute to after 10 minute. 2. HRV index of distilled Rehmannia glutinosa Herbal Acupuncture Group significantly increased from 25 minute to 30 minute, and pNN50 of Rehmannia glutinosa Herbal Acupuncture Group significantly decreased from 20 minute to 30 minute compared with those of Normal Saline group. 3. After distilled Rehmannia glutinosa Herbal Acupuncture injection, Ln(TP) and Ln(VLF) are significantly high after injection. Normalized LF is significantly high from 5 minute to 20 minute and from 25 minute and 30 minute. Normalized HF is significantly low from 5minute to 20 minute and from 25 minute and 30 minute. 4. Ln(TP) and Ln(VLF) of distilled Rehmannia glutinosa Herbal Acupuncture Group significantly increased from 20 minute to 25 minute compared with those of Normal Saline group. Conclusions : The results suggest that Rehmannia glutinosa Herbal Acupuncture in healthy adult man tend to activate the autonomic nervous system and parasympathetic nervous system compared to Normal Saline within normal range.