• Journal of the Korean Wood Science and Technology
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• v.51 no.2
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• pp.145-156
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• 2023

Many skin diseases are caused by microbial infections. Representative pathogenic fungus and bacterium that cause skin diseases are Candida albicans and Staphylococcus aureus, respectively. Malassezia pachydermatis is a fungus that causes animal skin diseases. In this study, we propose a method for removing pathogenic microorganisms from the skin using relatively safe edible herbal extracts. Herbal extracts were screened for skin health through the removal of pathogenic microorganisms, and combinations for effective utilization of the screened extracts were identified. In this study, among methanol extracts of 240 edible plants, C. albicans, S. aureus, and M. pachydermatis were killed by extracts of 10 plants: Acori Gramineri Rhizoma, Angelicae Tenuissimae Radix, Cinnamomi Cortex, Cinnamomi Ramulus, Impatientis Semen, Magnoliae Cortex, Moutan Cortex Radicis, Phellodendri Cortex, Scutellariae Radix, and Syzygii Flos. By evaluating the synergistic antifungal activities against C. albicans using all 45 possible combinations of these 10 extracts, five new synergistic antifungal combinations, Acori Gramineri Rhizoma with Magnoliae Cortex extracts, Acori Gramineri Rhizoma with Phellodendri Cortex extracts, Angelicae Tenuissimae Radix with Magnoliae Cortex extracts, Magnoliae Cortex with Phellodendri Cortex extracts, and Phellodendri Cortex with Syzygii Flos extracts, were identified. By utilizing the selected extracts and five combinations with synergistic antifungal effects, this work provides materials and methods to develop new and safe methods for treating candidiasis using natural products.

• The Korean Journal of Pesticide Science
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• v.18 no.1
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• pp.33-40
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• 2014

To control Bemisia tabaci on tomato, we applied five different combinations of chemical treatments as below: 1) treatment of combinations of cyantraniliprole on the root area and leaf with the existing registered chemicals three times; 2) treatment of combinations of cyantraniliprole on the root area and dinotefuran + emamectin benzoate on the leaf with the existing registered chemicals three times; 3) treatment of combinations of dinotefuran on the root area and cyantraniliprole on the leaf with the existing registered chemicals three times; 4) treatment of combinations of dinotefuran on the root area and dinotefuran + emamectin benzoate on the leaf with the existing registered chemicals three times; 5) untreated control plot (Table 1). Twenty days after treatment ($17^{th}$ Aug.), the number of population of B. tabaci was zero on the 1, 2, 3, 4 treatments of combinations, and only 2 individuals were found on the 5 treatment of combination per each 20 plant. On $17^{th}$ Sep., in the last observation, the average number of population of B. tabaci was 10.3, 10.3, 10.6 on the 1, 2, 3 treatments of combinations on the 20 plants per each combination, however, the average number of 23.3 and 37.6 were examined on the 4 and 5 treatments of combinations, respectively. TYLCV was not occurring on the 1 and 2 treatments of combinations, and presented only 3% and 17% on the 3 and 4 treatments of combinations, respectively, which indicates that the treatments (1-4) should be effective on TYLCV control as considering that 33% of TYLCV occurred on the untreated control plot. However, after the third flowering period, there is no difference among the five combinations. The amount of products was 9,148g and 9,698g on the 1 and 2 treatments of combinations, respectively, which was the most among the 5 combinations. The number of fallen fruits and the average weight of fruits showed the similar tendency.

• Proceedings of the KSPS conference
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• 2003.05a
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• pp.207-210
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• 2003

In this paper, the combinations of speech enhancement techniques are experimented. Specifically, the spectral subtraction, KLT based comb-filtering, and their combinations are applied to the Aurora2 database. The results show that recognition accuracy is improved when KLT based comb-filtering is applied after spectral subtraction.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.565-575
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• 2016

In this paper, we develop the noninformative priors for the linear combinations of means in the exponential distributions. We develop the matching priors and the reference priors. The matching priors, the reference prior and Jeffreys' prior for the linear combinations of means are developed. It turns out that the reference prior and Jeffreys' prior are not a matching prior. We show that the proposed matching prior matches the target coverage probabilities much more accurately than the reference prior and Jeffreys' prior in a frequentist sense through simulation study, and an example based on real data is given.

• Wind and Structures
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• v.12 no.5
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• pp.425-439
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• 2009

The expediency of revising universal rules for the combination of gravity and lateral actions of wind force-resisting steel structures recommended by the Standards EN 1990 and ASCE/SEI 7-05 is discussed. Extreme wind forces, gravity actions and their combinations for the limit state design of structures are considered. The effect of statistical uncertainties of extreme wind pressure and steel yield strength on the structural safety of beam-column joints of wind force-resisting multistory steel frames designed by the partial factor design (PFD) and the load and resistance factor design (LRFD) methods is demonstrated. The limit state criterion and the performance process of steel frame joints are presented and considered. Their long-term survival probability analysis is based on the unsophisticated method of transformed conditional probabilities. A numerical example illustrates some discrepancies in international design standards and the necessity to revise the rule of universal combinations of loads in wind and structural engineering.

• Communications for Statistical Applications and Methods
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• v.19 no.6
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• pp.799-808
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• 2012

It is known that human disease and the economic traits of livestock are significantly affected by a gene combination effect rather than a single gene effect. Existing methods to study this gene combination effect have disadvantages such as heavy computing, cost and time; therefore, to overcome those drawbacks, the SNPHarvester was developed to find the main gene combinations. In this paper, we looked for gene combinations using an adjusted linear regression model. This research finds that superior gene combinations which are related to the quality of the Korean beef cattle among sets of SNPs using SNPHarvester. We also identify the superior genotypes using a decision tree that can enhance the various qualities of Korean beef among selected a SNP combination.

• Plant Resources
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• v.7 no.1
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• pp.65-68
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• 2004

We used an amplified fragment length polymorphism (AFLP) analysis, a novel PCR-based technique, to differentiate Xanthomonas oryzae pv. oryzae (Xoo) of Korean races. The 6 strains of Xoo K1, K2, K3 races were tested with 81 AFLP primer combinations to identify the best selective primers. The primer combinations were selected according to their reproducibility, number of polymorphic bands and polymorphism detected among Xoo strains. 18 strains of Xoo K1, K2 and K3 races were analyzed with the selected combinations of primer set. Some primer combinations (Eco R I +1 / Mse I+1) could differentiate Xoo of Korean races that were not distinguished by other fingerprinting analysis. Thus AFLP fingerprinting permitted very fine discrimination among different races.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.23 no.1
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• pp.19-28
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• 2019

Objectives This study has conducted a network analysis of individual prescriptions from the Donguibogam opthalmic Chapter. In addition, medicinal herbs used for internal use were analyzed. By analyzing the correlation of these two this study aims to investigate the significance between individual herbs used in ophthalmic diseases through network analysis. Methods Medicinal herbs from Donguibogam Opthalmic Chapter were analyzed and herbal combinations were extracted from the medicinal herbs by using the network analysis tool NetMiner 4 program. Result Based on network analysis of medicinal herbs from Donguibogam Opthalmic Chapter, frequently used medicinal herbs and herbal combinations were analyzed and were consisted of 4 communities. Conclusion This study shows the most frequent medicinal herbs and herbal combinations from the Donguibogam Opthalmic Chapter. Based on the results significant medicinal herbs and combinations can be considered and moreover can be used to produce a new combination for opthalmic diseases. Further study is required since this study has excluded the component volume of herbs and the individual frequentcy of each combination.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.2
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• pp.160-166
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• 2017

Objective: This study identifies single-nucleotide polymorphisms (SNP) or gene combinations that affect the flavor and quality of Korean cattle (Hanwoo) by using the SNP Harvester method. Methods: Four economic traits (oleic acid [C18:1], saturated fatty acids), monounsaturated fatty acids, and marbling score) were adjusted for environmental factors in order to focus solely on genetic effects. The SNP Harvester method was used to investigate gene combinations (two-way gene interactions) associated with these economic traits. Further, a multifactor dimensionality reduction method was used to identify superior genotypes in gene combinations. Results: Table 3 to 4 show the analysis results for differences between superior genotypes and others for selected major gene combinations using the multifactor dimensionality reduction method. Environmental factors were adjusted for in order to evaluate only the genetic effect. Table 5 shows the adjustment effect by comparing the accuracy before and after correction in two-way gene interactions. Conclusion: The g.3977-325 T>C and (g.2988 A>G, g.3977-325 T>C) combinations of fatty acid-binding protein4 were the superior gene, and the superior genotype combinations across all economic traits were the CC genotype at g.3977-325 T>C and the AACC, GACC, GGCC genotypes of (g.2988 A>G, g.3977-325 T>C).

• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.301-308
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• 2010

The sensibility effects of color combinations was studied utilizing tone on tone combination and tone in tone combination. A total of 24 color combinations were rated by 10 college students using Semantic Differential Method. The data was analyzed by using Excel statistics program 2004. Analysis method was factor analysis. Theresults of this study were as follow. Color combinations utilizing tone on tone and color combinations utilizing tone in tone was evaluated a very different impression. Thus these were found to have an influence on sensibility effects of color combinations. In comparison with appearance of color combination using colored paper and that of product to apply to color combination using colored paper, it was showed to be evaluated mostly similar impression. However By characteristic with product, shape, size and texture, appearance of color combination is likely to be evaluated very difference impression. The results of these studies will serve as a basis of color combination image or color design.