• Korean Journal of Microbiology
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• v.53 no.3
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• pp.180-192
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• 2017

The purpose of this study is to investigate the antioxidative and antimicrobial activities of sourdough fermented with the lactic acid bacteria (LAB) isolated from sliced radish kimchi. According to 16S rRNA gene sequence analysis, the isolated lactic acid bacteria were categorized as Leuconostoc dextranicum SRK03, Lactobacillus brevis SRK15, Pediococcus halophilus SRK22, Lactobacillus acidophilus SRK30, Lactobacillus plantarum SRK38, Leuconostoc citreum SRK 42, and Lactobacillus delbrueckii SRK60 with sequence similarity of 99%. After fermentation with L. dextranicum SRK03, L. acidophilus SRK30, L. plantarum SRK38 or L. delbrueckii SRK60 and Saccharomyces cerevisiae KCTC 7246 at $30^{\circ}C$ for 24 h LAB and yeast in sourdough were present at levels of $10^9$ and $10^7CFU/g$, respectively. In particular, the titratable acidity and ethanol and exopolysaccharide contents of sourdough fermented with L. dextranicum SRK03 were also significantly (P < 0.05) higher than those of sourdough fermented with L. acidophilus SRK30, L. plantarum SRK38, or L. delbrueckii SRK60. The sourdough fermented with L. dextranicum SRK03 and L. acidophilus SRK30 showed not only good DPPH radical-scavenging capacity but anti-lipid peroxidation activity. In addition, the viable counts of Bacillus cereus ATCC 11778 and Staphylococcus aureus ATCC 6538 in sourdough during storage for 5 days at $25^{\circ}C$ were significantly (P < 0.05) lower than those of pathogenic bacteria in the control group due to the organic acids and bacteriocin produced by L. acidophilus SRK30 strain.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.259-261
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• 2017

SRK-BB(Skill-, Rule-, Knowledge-Based Behavior)는 주어진 사건을 처리할 때 인간이 행하는 행동을 체계적으로 식별하기 위한 하나의 이론이다. 이러한 SRK-BB에 대한 결과는 주어진 임무에 대한 '성공'과 '실패'로 나타낼 수 있다. 만약, 어느 사건에 대한 SRK-BB를 식별할 수 있고, 이에 대한 '성공/실패'의 결과를 알 수 있다면, SRK-BB를 이용하여 이들 사이에 연계된 확률적인 관계를 정립할 수 있다. 한편, 해양사고의 결과를 분석한 해양안전심판원의 재결서 또는 재결요약서에는 다양한 사고(즉, 실패한 사건)에 대해서 해기사가 어떠한 행동을 취했는지 상세하게 기록되어 있다. 이러한 해양안전심판원의 자료를 분석하면 실패한 해양사고에 대한 방대한 해기사의 SRK 분포를 확보할 수 있다. 본 연구의 목적은 다양한 해양사고에 나타난 해기사들의 행동을 SRK-BB로 식별한 후 해기사들이 추후 야기할 수 있는 인적오류를 예측하기 위한 모델 구축에 있다. 인적오류 모델을 구축하기 위해서는 우선 해양사고에 포함된 SRK 분포 분석이 필요하고, 시스템적인 입출력 관계를 통해서 SRK에 의한 인적오류의 결과를 예측하기 위한 예측 모델이 필요하다. 본 연구에서는 해기사의 인적오류에 의한 사고를 어떻게 SRK 분포를 이용하여 예측할 수 있는지에 대한 개념을 설명하고, 해양사고 데이터에서 획득한 SRK 분포의 의미와, SRK 분포를 이용하여 어떻게 해기사가 야기할 사고를 예측할 수 있는지에 대한 연구접근 방법을 소개하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.116-118
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• 2018

본 연구의 목적은 선박조종시뮬레이터(Ship Handling Simulator)를 이용하여 해기사 SRK(Skill-, Rule-, Knowledge) 기반 행동 측정을 하고자 하는 것이다. SRK 행동은 Rasmussen에 의해 제안된 행동 이론이며, 인적오류로 인한 사고는 매년 발생하고 있고, 인적오류로 인한 해양사고를 줄이고자 하는 연구가 필요하다. 우선 해기사 SRK 행동을 정의하고, 선박조종시뮬레이터를 이용하고 다양한 시나리오를 통해 해양사고 중 충돌상황에 대하여 측정 방법을 연구하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.266-268
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• 2017

인적오류에 인한 사고는 매년 발생 중이고, 인적오류에 의한 해양사고는 과학적인 인적오류모델을 통해서 해결방안을 모색할 수 있다. 본 연구의 목적은 선박조종시뮬레이터를 이용하여 해기사의 SRK(Skill, Rule, Knowledge) 행동을 식별하기 위한 것이다. SRK 행동은 라스무센이 제안한 행동 이론으로, 본 연구에서는 주어진 상황에 대해서 해기사들이 나타내는 성공 또는 실패 행동을 식별하는데 적용하였다. 식별한 해기사들의 SRK 행동은 인적오류모델의 변수로 적용할 예정이다. 이에, 본 논문에서는 하나의 선행 연구로서 해기사들의 SRK 행동을 선박조종시뮬레이터를 이용하여 측정하는 방법과 측정에 필요한 도구 및 지금까지의 연구결과를 고찰하였다.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.59-59
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• 2017

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.3
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• pp.224-230
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• 2017

The purpose of this study is to classify the deficient abilities of seafarers into SRK (Skill, Rule, and Knowledge) and analyze and identify the SRK by the type of accident and ship. Experimental data used the SRK cumulative frequency for 1,606 marine accident records and two-way ANOVA and t-test were used for the analysis tools. The results of two-way ANOVA showed that it is possible to identify the deficient abilities by using the cumulative frequency of SRK in both accident and ship types. As a result of the t-test, the adoption of the null hypothesis (H=0) that the mean of two pairs is equal and the rejection of the null hypothesis (H=1) were 29.2 % and 70.8 %, respectively. For the ship type, H=0 is 33.3 % and H=1 is 66.7 %. Through this study, it was found that about 70 % of the deficient abilities of seafarers inherent in maritime accidents can be identified using the proposed method.

• Journal of Life Science
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• v.19 no.11
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• pp.1666-1671
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• 2009

In Brassica, S locus glycoprotein (SLG) and S locus receptor kinase (SRK) genes function together for self-recognition in the self-incompatibility response. In addition, a water channel called aquaporins (MOD) is required for the self-incompatibility response. In this study, we isolated the SC-SLG, SC-SRK, and SC-MOD genes from a self-compatible line of B. oleracea. In the self-compatible line, the SC-SLG, SC-SRK, and SC-MOD genes showed the highest degree of sequence similarity with published data and to normal expression by RT-PCR. Therefore, it can be concluded that the SCR/SP11 gene of the B. oleracea pollen may not function and/or that mutations may occur in genes for self-incompatibility that are not linked to the S locus region.

• Korean Journal of Breeding Science
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• v.41 no.4
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• pp.397-402
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• 2009

Self-incompatibility (SI) prevents self-fertilization by inhibiting the pollen tube growth of self-pollen. Molecular analysis has revealed that the S locus comprises a number of genes, such as the S-locus glycoprotein (SLG), the S-locus receptor kinase (SRK), and SP11 (SCR). Although molecular markers related to those genes have been developed, a simple S-haplotype detecting method has not been reported due to the highly polymorphic and relatively small coding regions. In this study, the sequence characterized amplified region (SCAR) markers were used to establish an efficient radish genotyping method. We identified the S-haplotypes of 192 radish accessions using 19 different markers, which proved to be highly reliable. The accessions were assigned to 17 types of S-haplotypes, including 8 types of SRKs and 9 types of SLGs. Since the developed SCAR markers are based on their gene sequences, we could easily identify the S-haplotypes by a single specific band, with the highest frequencies detected for SLG 5, SRK 1, and SLG 1, in order. Among the tested markers, the SLG 1, SRK 1, and SRK 5 markers exhibited high reliability, compared to phenotypic results. Furthermore, we identified the seven types of unreported SLGs using SLG Class -I and -II specific markers. Although the developed SCAR markers still need to be improved for the genotyping of all S-haplotypes, these markers could be helpful for monitoring inbred lines, and for developing the MAS in radish breeding programs.

• Journal of the Korean Institute of Gas
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• v.10 no.4 s.33
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• pp.6-10
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• 2006

In this study, gross heating value(GHV), density, vapor pressure and heat capacity of natural gas were estimated and their experimental data were compared with calculated ones, SRK method. A new alpha function was used to predict the vapor pressures of pure component of the natural gas constituents well instead of calculating vapor pressures with acentric factors. And binary adjustable parameters were determined by regressing binary vapor-liquid equilibria data. Through this study, our results showed good agreements with experimental data.

• Journal of Plant Biotechnology
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• v.37 no.2
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• pp.186-195
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• 2010

In most self-incompatible plant species, recognition of self-pollen is controlled by a single locus, termed the S-locus. The self-incompatibility (SI) system in Brassica is controlled sporophytically by multiple alleles at a single locus, designated as S, and involves cell-cell communication between male and female. Two highly polymorphic S locus genes, SLG (S locus glycoprotein) and SRK (S receptor kinase), have been identified, both of which are expressed predominantly in the stigmatic papillar cell. Gain-of-function experiments have demonstrated that SRK solely determines S haplotype-specificity of the stigma, while SLG enhances the recognition reaction of SI. The sequence analysis of the S locus genomic region of B. campestris (syn. rapa) has led to the identification of an anther-specific gene, designated as SP11/SCR, which is the male S determinant. Molecular analysis has demonstrated that the dominance relationships between S alleles in the stigma were determined by SRK itself, but not by the relative expression level. In contrast, the expression of SP11/SCR from the recessive S allele was specifically suppressed in the S heterozygote, suggesting that the dominance relationships in pollen were determined by the expression level of SP11/SCR. Furthermore, recent studies on recessive allele-specific DNA methylation of Brassica self-incompatibility alleles demonstrate that DNA methylation patterns in plants can vary temporally and spatially in each generation. In this review, we firstly present overview of self incompatibility system in Brassica and then describe dominance relationships in Brassica self- incompatibility regulated by allele-specific DNA methylation.