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Renoprotective antioxidant effect of alagebrium in experimental diabetes
Hunjoo, Ha,Jehyun, Park,MinKyung, Kwon,Joo Young, Huh,Won Jun, Choi,Lak Shin, Jeong,Ryoji, Nagai,Wan Young, Kim,Geun Taek, Lee,Hi Bahl, Lee 이화여자대학교 약학연구소 2012 藥學硏究論文集 Vol.- No.22
BACKGROUND: Despite the beneficial effects of alagebrium (ALA), a putative advanced glycation end-product (AGE) breaker, on diabetic nephropathy, its renoprotective mechanisms are incompletely understood. Since oxidative stress exacerbates diabetic renal injury through interaction with AGE, the present study examined the antioxidative property of ALA in db/db mice, mesangial cells cultured under high glucose or H(2)O(2) and a test tube. METHODS: ALA (2 mg/kg/day) was administered intraperitoneally for 12 weeks to 8-week-old db/m and db/db (D(ALA)E) mice or for 4 weeks to 16-week-old db/db mice (D(ALA)L). Oxidative stress markers (nitrotyrosine accumulation, expression and translocation of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase subunits, cellular DCF-DA fluorescence) together with urinary albumin excretion and histological changes including mesangial expansion were measured. The concentration of H(2)O(2) in the presence and absence of ALA was measured by iodometric analysis in a test tube. RESULTS: ALA significantly reduced not only urinary albumin excretion and renal pathological changes but also accumulation of pentosidine and nitrotyrosine and expression of NADPH oxidase subunits in db/db mice regardless of treatment protocol. In mesangial cells, ALA effectively prevented not only high glucose- but also H(2)O(2)-induced membrane translocation of NADPH oxidase subunit (p47 phox, p67 phox and rac1) and protein kinase C isoform (α, βI and βII) and Nox4 messenger RNA expression concomitant with cellular reactive oxygen species. Furthermore, ALA directly decreased H(2)O(2) in a test tube. CONCLUSION: ALA has both direct and indirect antioxidant effects that may play important roles in ALA's renoprotective effect in diabetic kidneys.
Development of nutritional risk assessment platform in Korea
Lee, Hunjoo,Kwon, Nam ji,Kim, Yongsoo,Han, Eunyoung Elsevier 2018 Regulatory toxicology and pharmacology Vol.98 No.-
<P><B>Abstract</B></P> <P>Risk assessment has been used to prevent health problems associated with eating habits in response to increased interest in a balanced diet. For nutritional risk assessment (NRA), it is important to 1) consider personal nutrition status based on year-round dietary intake, 2) organize core datasets such as food composition, intake, and health based guidance value (HBGV) datasets with public confidence, and 3) assess and predict the effects by using the computerized NRA tool. Our research staff constructed an integrated database system by compiling and organizing core datasets produced sporadically by different organizations and with different formats and developed a nutritional exposure and risk assessment system called Nutri-Risk (NUTRItional RISK assessment platform), which contained the database. Nutri-Risk is not only capable of NRA, but also contains additional data service functions. Here, the compilations and organization of an integrated database are outlined. In addition, the overall architectures of Nutri-Risk and dietary modeling are described and predictive simulation functions to support the regulatory decisions related to nutritional fortification or reduction policy were demonstrated.</P> <P><B>Highlights</B></P> <P> <UL> <LI> An integrated database with standardized codesets and a platform were developed. </LI> <LI> A platform was implemented for risk assessment with dietary modeling and simulation. </LI> <LI> The simulation can minimize the risk for nutritional fortification and reduction. </LI> </UL> </P>
Lee, Hunjoo,Han, Eunyoung,Kwon, Nam ji,Kim, Yongsoo,Kim, Sena,Kim, Haengran,Min, Sung-Gi Elsevier 2017 Journal of food composition and analysis Vol.62 No.-
<P><B>Abstract</B></P> <P>Food composition databases (FCDBs) are important to studies, industries, polices, and modeling related to diet and food. A FCDB has been provided by each country’s government organizations. In Korea, the FCDB has been produced and provided by the Rural Development Administration (RDA) and the national food analysis system (NFAS), a network between qualified laboratories by the nation. In this study, a new web based system, NutriManager, was designed to support integrated database management and collaboration between RDA and NFAS. The main goal of this system is to provide an efficient tool to support a series of workflow from sample enrollment to validation results. NutriManager has many features related to food and nutrient database management and validation; the computerized laboratory notebook, the stepwise processes of algorithms for validity assessment and determination of the representative value, and creation of a Korean National Food Composition Table (KNFCT). Therefore, NutriManager contributes to production of food composition data with high reliability and also can be used as a more efficient tool to link with other public programs using FCDB as a key database in Korea.</P> <P><B>Highlights</B></P> <P> <UL> <LI> An overall architecture to NutriManager’s database management is described. </LI> <LI> NutriManager assesses repeatability of analytical results by sample automatically. </LI> <LI> NutriManager determines the validity of representative values of food systemically. </LI> <LI> NutriManager contributes to highly reliable and historical food composition data. </LI> </UL> </P>
데이터 스트림 윈도우 질의를 위한 다중의 연속 MJoin 연산자 공유 처리
이헌주(Hunjoo Lee),박석(Seog Park) 한국정보과학회 2007 한국정보과학회 학술발표논문집 Vol.34 No.1C
데이터 스트림 관리 시스템에서 조인 연산자는 질의가 내포하는 여러 연산자들 가운데 상대적인 계산비용이 높은 연산자로, 센서 네트워크와 같이 한정적 정보들이 개별적으로 입력되는 환경에서는 필연적으로 요구된다. 데이터 스트림은 잠재적으로 무한한 크기를 가지므로 조인 연산자는 슬라이딩 윈도우 제약사항을 가져야 하며, 종합적인 결과를 얻기 위해 조인 연산자가 여러 입력을 취할 수 있어야 한다. 이를 가능하게 하는 것이 바로 슬라이딩 윈도우를 가지는 MJoin 연산자이다. 본 논문에서는 이러한 여러 MJoin 연산자가 시스템에 등록되어 있는 환경을 가정하고, 슬라이딩 윈도우 제약사항과 MJoin의 특성을 반영하여 전역적으로 공유된 질의 실행 계획 수립 및 처리에 관한 문제를 다룬다. 이러한 다중 MJoin에 대한 전역 공유 질의 실행 계획 수립 문제가 NP-Hard임을 증명하고, 근사화 접근 방법을 제안한다. 또한 전역적으로 공유된 질의 실행 계획을 올바르게 수행할 수 있는 처리 기법을 제안한다. 이러한 연구의 노력은 데이터 스트림 환경에서 효율적인 다중 질의 최적화 및 처리기법의 기초 연구로 활용될 수 있다.
데이터 스트림에서 MJoin을 이용한 다중 조인 질의의 최적화 기법
이헌주(Hunjoo Lee),박석(Seog Park) 한국정보과학회 2006 한국정보과학회 학술발표논문집 Vol.33 No.2C
센서 네트워크에서 각 센서는 제한된 개수의 속성을 기반으로 한 스키마를 가진다. 사용자는 여러 센서에서 수집된 정보를 종합적으로 살펴보고자 하기 때문에 여러 센서에서 수집된 정보를 조인하는 질의가 필수적이다. 또한, 센서가 수집하는 데이터를 중앙 서버로 보내는 경우 스트림의 형태로 입력되므로 빠른 조인 질의의 질의 수행 계획을 수립해야 한다. 본 논문에서는 기존에 여러 입력 스트림을 조인하는 MJoin을 기반으로 한 다중 조인 질의의 효율적인 최적화 기법을 제안한다. 또한 다중 조인 질의에 대해 기존의 MJoin을 적용한 기법과 본 논문에서 제안하는 다중 조인 질의 최적화 질의 계획 수립 기법을 비교, 분석한다.
수산생물 중 유해물질의 인체 노출 및 위해평가 시스템 개발
이재원(Jaewon Lee),이승우(Seungwoo Lee),최민규(Minkyu Choi),이헌주(Hunjoo Lee) 한국환경보건학회 2021 한국환경보건학회지 Vol.47 No.5
Background: Fish and fishery products (FFPs) unintentionally contaminated with various environmental pollutants are major exposure pathways for humans. To protect human health from the consumption of contaminated FFPs, it is essential to develop a systematic tool for evaluating exposure and risks. Objectives: To regularly, accurately, and quickly evaluate adverse health outcomes due to FFPs contamination, we developed an automated dietary exposure and risk assessment system called HERA (the Human Exposure and Risk Assessment system for chemicals in FFPs). The aim of this study was to develop an overall architecture design and demonstrate the major features of the HERA system. Methods: For the HERA system, the architecture framework consisted of multi-layer stacks from infrastructure to fish exposure and risk assessment layers. To compile different contamination levels and types of seafood consumption datasets, the data models were designed for the classification codes of FFP items, contaminants, and health-based guidance values (HBGVs). A systematic data pipeline for summarizing exposure factors was constructed through down-scaling and preprocessing the 24-hour dietary recalls raw dataset from the Korea National Health and Nutrition Examination Survey (KNAHES). Results: According to the designed data models for the classification codes, we standardized 167 seafood items and 2,741 contaminants. Subsequently, we implemented two major functional workflows: 1) preparation and 2) main process. The HERA system was developed to enable risk assessors to accumulate the concentration databases sustainably and estimate exposure levels for several populations linked to seafood consumption data in KNAHES in a user-friendly manner and in a local PC environment. Conclusions: The HERA system will support policy-makers in making risk management decisions based on a nation-wide risk assessment for FFPs.