• Current Research on Agriculture and Life Sciences
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• v.20
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• pp.65-70
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• 2002

This study was conducted to investigate allelopathic potential of various crosses of rice cultivars using their inhibitory effect on barnyardgrass growth under field conditions, and to determine PAL activity and phenolic compounds involved in phenylpropanoid pathway from selected crosses of rice cultivars. Under field conditions, Kouketsumochi, Woo co chin yu possessed higher allelopathic potential inhibiting over 90% of barnyardgrass growth. Crosses of Kouketsumochi/Woo co chin yu, Dongjinbeyo/Kouketsumochi, Dongjinbeyo/Woo co chin yu showed over 80% inhibitory effects on barnyardgrass growth. The highest PAL activity, $63.46{\mu}kats/kg$ proteins was detected in Kouketsumochi which is the most important enzyme in phenylpropanoid pathway and also higher PAL activity in crosses with Kouketsumochi. Content of cinnamate was $2.64{\mu}g/g$ f.w. in Kouketsumochi which was 2 to 5 times higher than other rice cultivars tested, indicating that higher PAL activity resulted in more cinnamate. The similar trends in cinnamate content and PAL activity were observed in crosses of rice cultivars with Kouketsumochi.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1181-1189
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• 2015

The treatment effect in clinical tests depending on dose of the drug; however, it can show a decreasing trend in fixed dose level due to side effects. The trend is known as an umbrella pattern; in addition, the method for the umbrella alternative is quite useful when the tendency is predicted in advance. In this paper, we propose a nonparametric method of umbrella alternatives for a one-way layout by using linear placement described in Orban and Wolfe (1982). The Monte Carlo simulation is adapted to compare the power of proposed procedure with previous methods.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.381-393
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• 2005

As a promising technique for dimension reduction in regression analysis, Sliced Inverse Regression (SIR) and an associated chi-square test for dimensionality were introduced by Li (1991). However, Li's test needs assumption of Normality for predictors and found to be heavily dependent on the number of slices. We will provide a unified asymptotic test for determining the dimensionality of the SIR model which is based on the probabilistic principal component analysis and free of normality assumption on predictors. Illustrative results with simulated and real examples will also be provided.

• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.931-941
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• 2017

Typical Nonparametric methods for randomized block design with replications are two methods proposed by Mack (1981) and Mack and Skillings (1980). This method is likely to cause information loss because it uses the average of repeated observations instead of each repeated observation in the processing of each block. In order to compensate for this, we proposed a test method using linear placement statistics, which is a score function applied to the joint placement method proposed by Chung and Kim (2007). Monte Carlo simulation study is adapted to compare the power with previous methods.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.889-902
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• 2013

Several goodness-of-fit test statistics have been proposed for a multinomial logit regression model; however, the properties of the proposed tests were not adequately studied. This paper evaluates three different goodness-of-fit tests using grouping strategies, proposed by Fagerland et al. (2008), Bull (1994), and Pigeon and Heyse (1999). In addition, Pearson (1900)'s method is also examined as a reference. Simulation studies were conducted to evaluate the four methods in terms of null distribution and power. A real data example is presented to illustrate the methods.

• The Korean Journal of Applied Statistics
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• v.25 no.2
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• pp.311-319
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• 2012

The simplest and the most important distribution in survival analysis is exponential distribution. Koziol and Green (1976) derived Cram$\acute{e}$r-von Mises statistic's randomly censored version based on the Kaplan-Meier product limit estimate of the distribution function; however, it could not be practical for a real data set since the statistic is for testing a simple goodness of fit hypothesis. We generalized it to the composite hypothesis for exponentiality with an unknown scale parameter. We also considered the classical Kolmogorov-Smirnov statistic and generalized it by the exact same way. The two statistics are compared through a simulation study. As a result, we can see that the generalized Koziol-Green statistic has better power in most of the alternative distributions considered.

• Journal of Life Science
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• v.27 no.12
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• pp.1486-1493
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• 2017

Doenjang is a traditional korean fermented soybean paste made from meju (fermented soybean), which are fermented by diverse microorganisms including Bacillus subtilis and molds such as Rizopus, Mucor, and Aspergillus species The purpose of this study was to investigate the antiobesity effect of the black soybean doenjang (Korean fermented soybean pastes) in C57BL/6 mice. The anti-obesity effect was determined by measuring the release of adiponectin, leptin and adipogenic transcription factors by using reverse transcription-polymerase chain reaction and western blot. Weight gain was significantly reduced in the mice fed high fat diets (HFD) plus black soybean doenjang (HBD) compared to HFD mice. The HBD were also effective in improving the lipid profile. They significantly decreased the levels of serum triglyceride and cholesterol. In addition, they had a significantly down regulated impact on antiobesity factors; leptin level and increased adiponectin level. Also, mRNA and protein expression of two adipogenic transcription factors, SREBP-1c and $PPAR-{\gamma}$, in high fat with black soybean fed mice were markedly down regulated. These results indicate that the black soybean doenjang potentiates an anti-obesity effect by modulating lipid metabolism, thereby inhibiting adipogenic transcriptional activation.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.245-245
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• 2019

점착성 유사는 유사가 가지는 점착력에 의해 응집현상을 겪으며 그 크기와 밀도가 변화한다. 유사의 크기와 밀도는 침강속도에 직접적인 영향을 주며 침강속도는 변화는 유사의 거동에 매우 중요한 작용을 한다. 따라서 점착성 유사의 크기 특성을 파악하는 것은 필수적이다. 본 연구는 유사가 가지는 입도분포를 파악하기 위해 통계학적 접근법을 적용하여 분석하였다. 점착성 유사의 입자가 가지는 입도 분포를 구체화한 결과를 유사의 입도 분포를 위한 수치 모의 연구에 적용하여 모의 결과를 향상시키고 유사 문제의 분석에 용이하도록 하려 한다. 통계학적인 방법 중 적합도 검정을 이용하여 실제 점착성 유사의 입도가 어떠한 분포를 모사하는지 분석하였다. 수집된 입도 분포 자료에 적합도 검정 방법 중 Kolmogorov-Sminorv(K-S) 검정을 이용하였으며 유의수준 5%를 통과할 경우 이론 분포가 점착성 유사의 입도 분포를 잘 모사하는 것으로 판단하였다. 점착성 유사의 입도 분포를 수집하고 그 자료를 바탕으로 적합도 검정을 실시한 결과 많은 연구에서 점착성 유사의 입도 분포로 가정하고 있는 Log-normal 분포가 유의수준 5%를 기준으로 적합도 검정을 통과한 경우는 많지 않았다. 본 연구에서 검정한 결과로는 기존에 이용되는 Log-normal 분포는 위치 매개변수를 추가하여 3 매개변수 분포를 사용할 경우에만 점착성 유사의 입도 분포를 모사한다고 판단된다. 향후에는 점착성 유사의 입도 분포를 모사하고 사용함에 있어 Log-normal 분포를 무조건적으로 이용하는 것은 지양하고 점착성 유사가 가지는 특성을 파악하여 어떠한 입도 분포 형태를 나타낼지 미리 예측하여 이론 분포를 가정한다면 수치모형을 통해 점착성 유사의 입도 분포를 모사할 때 그 정확도가 크게 증가할 것으로 판단된다. 또한 점착성 유사의 입도 분포로서 제시한 GEV 분포와 Gamma 분포, Log-normal 분포를 FM 모형에 결합하여 입도 분포를 모의한 후 그 결과를 실제 현장에서 측정된 입도 분포와 비교하는 과정을 통해 실제 어떠한 분포가 가장 적합하게 모의하는지도 검증할 필요성이 있다고 판단된다. 또한 점착성 유사의 입도를 모사하는 분포를 새로 개발하여 사용한다면 점착성 유사의 이동과 특성을 연구할 때 가장 중요한 크기 특성에 대한 많은 정보를 제공할 수 있으며 유사와 관련된 문제를 용이하게 분석할 것으로 판단된다.

• The Korean Journal of Pesticide Science
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• v.12 no.2
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• pp.168-176
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• 2008

Recently damage of rice bakanae disease disseminated by infected seeds increased in paddy field in Korea. For controlling rice bakanae disease, the efficacy of 17 fungicides was assessed by 5 kinds of bioassay, spore germination test (SGT), mycelial growth test, detection test on Komada's medium (KDT), pouch test (PT) and greenhouse test (GT). Among ergosterol biosynthesis inhibiting fungicides, prochloraz showed a high controlling activity in all the assay systems while the others showed very low activity except for $500\;{\mu}g/ml$ of hexaconazole in GT and $500\;{\mu}g/ml$ of triflumizole in KDT. Although benomyl and the mixture of benomyl and thiram showed a good activity at 100 and $500\;{\mu}g/ml$ in SGT and PT, respectively, in GT they did a middle activity. Trifloxystrobin and kresoxim-methyl included in strobilurins showed a good activity even at $20\;{\mu}g/ml$ in KDT as well as a middle activity in SGT. Also a high activity not only at $10\;{\mu}g/ml$ in SGT but also at $100\;{\mu}g/ml$ KDT was detected in thiram. The activity of fludioxonil was confirmed in SGT, KDT and PT. Based on these results, it is very important to determine a bioassay system, because the fungicidal activity against rice bakanae disease was fluctuated depending on a assay systems as well as the mechanism of fungicide.

• The Korean Journal of Applied Statistics
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• v.19 no.2
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• pp.361-368
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• 2006

There are lots of two and three dimensional graph representing two dimensional categorical data. Among them, Li, et al. (2003) proposed Diamond Graph that projects three dimensional graph into two dimension whereby the third dimension is replaced with a diamond shape whose area and middle and vertical and horizontal lengths represent the outcome. In this paper, we use the Diamond graph to test the independence of two predictor variables for two dimensional data. And this graph could be applied for finding the best fitted log-linear model to three dimensional data.