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Lee, You Jin,Ahn, Youngsook,Kwon, Oran,Lee, Mee Youn,Lee, Choong Hwan,Lee, Sungyoung,Park, Taesung,Kwon, Sung Won,Kim, Ji Yeon American Chemical Society 2017 Journal of agricultural and food chemistry Vol.65 No.2
<P>In the present study, we evaluated the antioxidative and anti-inflammatory effects of an aqueous extract of wolfberry fruit (WBE) in mild hypercholesterolemic and overweight subjects. This study was a double-blind randomized trial of two parallel groups of free-living subjects (n = 53). The participants consumed the contents of an 80 ftd,, pouch containing 13.5 g WBE or placebo after one meal per day over an 8-week period. Following 8 weeks of WBE supplementation, we observed a slight but significant decrease in erythrocyte superoxide dismutase activity and an increase in catalase activity. Furthermore, to assess endogenous DNA damage in lymphocytes, the alkaline comet assay was performed, showing that the percentage of DNA in the tail was significantly decreased by 8-week WBE intake. Additionally, the proportion of significantly deregulated mRNAs related to oxidative or inflammatory stress was considerably higher in the WBE intake group. The present data indicate that WBE intake has antioxidative and anti-inflammatory effects in overweight and hypercholesterolemic subjects by modulating mRNA expression.</P>
Network Graph Analysis of Gene-Gene Interactions in Genome-Wide Association Study Data
Lee, Sungyoung,Kwon, Min-Seok,Park, Taesung Korea Genome Organization 2012 Genomics & informatics Vol.10 No.4
Most common complex traits, such as obesity, hypertension, diabetes, and cancers, are known to be associated with multiple genes, environmental factors, and their epistasis. Recently, the development of advanced genotyping technologies has allowed us to perform genome-wide association studies (GWASs). For detecting the effects of multiple genes on complex traits, many approaches have been proposed for GWASs. Multifactor dimensionality reduction (MDR) is one of the powerful and efficient methods for detecting high-order gene-gene ($G{\times}G$) interactions. However, the biological interpretation of $G{\times}G$ interactions identified by MDR analysis is not easy. In order to aid the interpretation of MDR results, we propose a network graph analysis to elucidate the meaning of identified $G{\times}G$ interactions. The proposed network graph analysis consists of three steps. The first step is for performing $G{\times}G$ interaction analysis using MDR analysis. The second step is to draw the network graph using the MDR result. The third step is to provide biological evidence of the identified $G{\times}G$ interaction using external biological databases. The proposed method was applied to Korean Association Resource (KARE) data, containing 8838 individuals with 327,632 single-nucleotide polymorphisms, in order to perform $G{\times}G$ interaction analysis of body mass index (BMI). Our network graph analysis successfully showed that many identified $G{\times}G$ interactions have known biological evidence related to BMI. We expect that our network graph analysis will be helpful to interpret the biological meaning of $G{\times}G$ interactions.
Lee, Sungyoung,Park, Taesung Korea Genome Organization 2018 Genomics & informatics Vol.16 No.4
The rapid increase in genetic dataset volume has demanded extensive adoption of biological knowledge to reduce the computational complexity, and the biological pathway is one well-known source of such knowledge. In this regard, we have introduced a novel statistical method that enables the pathway-based association study of large-scale genetic dataset-namely, PHARAOH. However, researcher-level application of the PHARAOH method has been limited by a lack of generally used file formats and the absence of various quality control options that are essential to practical analysis. In order to overcome these limitations, we introduce our integration of the PHARAOH method into our recently developed all-in-one workbench. The proposed new PHARAOH program not only supports various de facto standard genetic data formats but also provides many quality control measures and filters based on those measures. We expect that our updated PHARAOH provides advanced accessibility of the pathway-level analysis of large-scale genetic datasets to researchers.
Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes
Lee, Sungyoung,Kim, Yongkang,Choi, Sungkyoung,Hwang, Heungsun,Park, Taesung BioMed Central 2018 BMC bioinformatics Vol.19 No.-
<P><B>Background</B></P><P>As one possible solution to the “missing heritability” problem, many methods have been proposed that apply pathway-based analyses, using rare variants that are detected by next generation sequencing technology. However, while a number of methods for pathway-based rare-variant analysis of multiple phenotypes have been proposed, no method considers a unified model that incorporate multiple pathways.</P><P><B>Results</B></P><P>Simulation studies successfully demonstrated advantages of multivariate analysis, compared to univariate analysis, and comparison studies showed the proposed approach to outperform existing methods. Moreover, real data analysis of six type 2 diabetes-related traits, using large-scale whole exome sequencing data, identified significant pathways that were not found by univariate analysis. Furthermore, strong relationships between the identified pathways, and their associated metabolic disorder risk factors, were found via literature search, and one of the identified pathway, was successfully replicated by an analysis with an independent dataset.</P><P><B>Conclusions</B></P><P>Herein, we present a powerful, pathway-based approach to investigate associations between multiple pathways and multiple phenotypes. By reflecting the natural hierarchy of biological behavior, and considering correlation between pathways and phenotypes, the proposed method is capable of analyzing multiple phenotypes and multiple pathways simultaneously.</P>
Exploring the Behavior of An Adaptive Task in Real-Time Systems
Lee, Sungyoung 慶熙大學校 1994 論文集 Vol.23 No.-
본 논문은 스포레딕 태스크(sporadic task)가 도착간 (interarrival time) 상한 시간제한을 가졌다고 볼 수 있는 새로운 형태의 적응 실시간 태스크인 준 주기적 ( nearly-periodic)태스크를 소개한다. 준 주기적 태스크의 다음 인스턴스는 가상주기를 (어떤 상수 값) 바로 이전에 발생한 인스턴스의 도착 시간에 더한 다음, 그 시점을 기준으로 어떤 제한된 범위 내에서 발생한다. 이런 형태의 태스크를 소개하고자 하는 의도는 전통적인 실시간 태스크들 만으로서는 차세대 반응/적응 실시간 시스템의 가변적 계산 요구 사항을 충분히 설명할 수 없기 때문이다. 왜냐하면 비주기적 태스크는 융통성은 있으나 예측성이 떨어지며, 주기적인 태스크는 시스템의 고정적인 작업 사항만을 다루기 때문에 가변적 상황을 취급하는데는 제한이 따르기 때문이다. Stankovic [1], [2]에 의하면 차세대 실시간 시스템은 느슨하면서도 동시에 엄격한 형태의 시간적 제한을 가져야 하므로 시스템의 일부는 아주 고정적이어야 하지만 다른 많은 부분은 가변적인 접근이 요구된다고 하였다. 또한, 우리는 준 주기적 태스크의 성질을 일반화된 통계적 페트리네트(Generalized Stochastic Petri Nets)로 모델링 하였는데 그것으로부터 시스템의 시간적 오류를 발견할 수 있다.
Gamification on Phrase Building Training Application
Sungyoung Lee,Sora Lim 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.3
Computer Aided Instruction (CAI) has been considered as a powerful device for teaching and learning second languages. However, contrary to expectations, many have assessed CAI to be less than satisfactory in terms of their efficacy and effectiveness. It is because of boring and monotonous characters of educational applications. To complete all tasks in educational applications requires great efforts and patience due to lacking fun and amusement. Therefore, how to add amusement elements on applications is a big deal for the developers of e-learning applications for language learning. In this paper, in order to seek a solution for this, we will show a way to add these elements by gamification of an application for practicing building phrase which is mostly difficult to attract learners’ interests in spite of its importance in language learning.