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Association of Low Aerobic Fitness with Hyperfiltration and Albuminuria in Men
PARK, MINSEON,KO, YOUNGJIN,SONG, SANG HOON,KIM, SEONGBEEN,YOON, HYUNG-JIN The American College of Sports Medicine 2013 Medicine and science in sports and exercise Vol.45 No.2
PURPOSE: The purpose of this study was to evaluate the association of low aerobic fitness (AF), a quantitative phenotype primarily modified by physical activity, with the earlier markers of chronic kidney disease (CKD). METHODS: Maximum oxygen uptake (V˙O2max), the best index of AF, was estimated in an apparently healthy population of 34,769 adults without known history of diabetes and/or hypertension, and its association with renal function and albuminuria was analyzed retrospectively. V˙O2max was estimated using a cycle ergometer. Glomerular filtration rate was estimated with the Modification of Diet in Renal Disease Study equation. Glomerular hyperfiltration was defined as estimated glomerular filtration rate above the age- and sex-specific 97.5th percentile. Albuminuria was detected with dipstick urinalysis on fast morning urine and defined as ≥1+. RESULTS: V˙O2max levels were negatively correlated with the odds ratios of glomerular hyperfiltration in men (Ptrend = 0.039), not in women. V˙O2max was associated with glomerular hyperfiltration in young men (≤ the median age; Ptrend < 0.001), but not in old men. V˙O2max levels were negatively correlated with the odds ratio of albuminuria in men (Ptrend < 0.001), but not in women. These findings suggest that low AF may be associated with earlier markers of CKD in men. This association was not observed in women. CONCLUSION: From the results of this study, it can be concluded that low AF may be a possible independent, modifiable risk factor for CKD in men.
Park, Minseon,Lee, Bok-Soon,Jeon, Soung-Hoo,Nam, Hyun-Ja,Lee, Gwang,Kim, Chul-Ho,Cho, Hyeseong,Lee, Jae-Ho American Society for Biochemistry and Molecular Bi 2015 The Journal of biological chemistry Vol.290 No.3
<P>Hepatocyte growth factor (HGF) and its receptor, Met, regulate skeletal muscle differentiation. In the present study, we identified a novel alternatively spliced isoform of Met lacking exon 13 (designated Δ13Met), which is expressed mainly in human skeletal muscle. Alternative splicing yielded a truncated Met having extracellular domain only, suggesting an inhibitory role. Indeed, Δ13Met expression led to a decrease in HGF-induced tyrosine phosphorylation of Met and ERK phosphorylation, as well as cell proliferation and migration via sequestration of HGF. Interestingly, in human primary myoblasts undergoing differentiation, Δ13Met mRNA and protein levels were rapidly increased, concomitantly with a decrease in wild type Met mRNA and protein. Inhibition of Δ13Met with siRNA led to a decreased differentiation, whereas its overexpression potentiated differentiation of human primary myoblasts. Furthermore, in notexin-induced mouse injury model, exogenous Δ13Met expression enhanced regeneration of skeletal muscle, further confirming a stimulatory role of the isoform in muscle cell differentiation. In summary, we identified a novel alternatively spliced inhibitory isoform of Met that stimulates muscle cell differentiation, which confers a new means to control muscle differentiation and/or regeneration.</P>
Frequency-Domain Data Augmentation of Vibration Data for Fault Diagnosis using Deep Neural Networks
Minseon Gwak,Seunghyun Ryu,Yongbeom Park,Hyeon-Woo Na,PooGyeon Park 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
This paper proposes a data augmentation method for vibration data-based fault diagnosis using deep neural networks. The proposed method is devised to deal with the practical problem in applying trained models to facilities, where frequency-domain features of data vary according to the change in the working environment of the facilities. In the proposed method, training data are augmented by scaling the frequency-domain features of raw training data by small amounts generated by a normal distribution. The proposed method is implemented to preserve the symmetricity of the positive and negative frequency-domain components and return the real part of the complex inverse transformed data as final augmented data. The advantage of the proposed method is verified by simulation, where the operating conditions of training and test data differ. Moreover, it is shown that the proposed method can improve the accuracy of models better compared to a time-domain data augmentation using similar random scaling.
PARK, KYUNG MIN,JEONG, MOONCHEOL,PARK, KEE JAI,KOO, MINSEON ational Association for Food Protection 2018 Journal of food protection Vol.81 No.10
<B>ABSTRACT</B><P>Bacillus cereus has long been recognized as an important pathogen in foodborne poisoning worldwide. Fresh vegetables are often contaminated with enterotoxigenic B. cereus and have been implicated as a vehicle for the transmission of this bacterium. This study reports on the occurrence, virulence gene profile, and antibiotic resistance of B. cereus in fresh vegetables. Of 102 examined samples, 48 (47%) of the samples were contaminated with B. cereus (>1 log CFU/g) and 7 (6.8%) of the samples showed more than 3 log CFU/g. In total, 118 B. cereus isolates were examined for the virulence genes nheA, nheB, nheC, hblA, hblC, hblD, cytK, and entFM and for resistance to antibiotics. Of these B. cereus isolates, 70% harbored nheA, nheB, nheC, and cytK. Eighteen (80%) of 21 isolates from bell peppers possessed eight enterotoxin genes. B. cereus isolates were susceptible to imipenem, vancomycin, gentamicin, erythromycin, ciprofloxacin, and chloramphenicol, whereas 22.4% of isolates from garlic chives, 48.7% from perilla leaf, and 40.5% from romaine lettuce showed antibiotic resistance to rifampin and 6% of isolates from garlic chives exhibited resistance to tetracycline. Three isolates from garlic chives were resistant to both tetracycline and rifampin. Raw vegetables were revealed to be major sources of B. cereus containing multiple toxin genes and exhibiting antibiotic resistance. Therefore, the potential health risks of consuming these vegetables raw or undercooked should not be underestimated. This study provides basic information for monitoring the antibiotic resistance and toxigenicity of B. cereus in the food chain during vegetable distribution and for developing food safety management to reduce the contamination with and transmission of B. cereus.</P>
박민선(Minseon Park),김승태(Seung Tai Kim) 한국기술혁신학회 2019 한국기술혁신학회 학술대회 발표논문집 Vol.2019 No.11
2016년도 이후 국가 연구개발 사업의 대학 간접비 비율 산출은 실사용률 기반의 산출방식을 채택하고 있다. 이와 같은 방식은 간접비의 실사용분을 최대한 반영할 수 있다는 장점이 있으나, 여전히 연구현장에서는 기관과 연구책임자 간의 긴장관계가 해소되고 있지 않고 있다. 기관이 흡수하는 간접비를 최대한 확보하려는 기관의 입장과 연구에 직접 소요되는 직접비를 최대한 확보하려는 연구책임자 간의 이해관계가 상충하기 때문이다. 보다 근본적으로 간접비는 국가 연구개발 활동에 필요한 공통경비를 확보하는데 있는 만큼 국가 연구개발 사업의 효율성의 관점에서 비율 산출이 이루어는 것이 바람직하다. 본 연구는 이와 같은 문제의식에서 간접비 비율 산출이 연구성과에 미치는 영향을 확인한 연구이다. 구체적으로는 학계와 연구계, 산업계 등 그룹 간 간접비 비율의 유의한 차이를 확인하고, 연구성과와 간접비 비율 간의 관계를 역U자형 다중회귀분석을 통해 분석하였다. 그 결과 이공계 대학의 간접비 비율이 상대적으로 높게 산정되는 경향이 발견되었고, 특허 성과에 대해서 25% 내외의 간접비 비율이 최적임을 확인하였다. 마지막으로 산출 방식의 개선을 위하여 연구개발 규모 및 연구성과의 효율성에 따라 대상기관을 유형화하고, 유형별로 대표 간접비 비율을 선정하여 보완하는 방안을 함께 제시한다.
A filtered-x scheduled step-size active noise cancellation algorithm considering implementation
Taesu Park,Minseon Gwak,PooGyeon Park 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
This paper proposes an active noise cancellation algorithm by using adaptive filter. We apply the normalized subband adaptive filter which is one of the adaptive filter algorithm to a filtered-x algorithm. Because the adaptive filter algorithm is applied in acoustic noise cancellation system, we rearrange the filter update recursion formula. We analyze the mean-square deviation of the NSAF to schedule the step size according to the iteration. As a result, a step size table was created, and the proposed algorithm shows similar performance to other variable step size NSAFs by changing the step size without additional online calculation. The generated step-size table can be modified online in proportion to not only the number of taps but also the number of subbands. The noise cancellation simulation shows that the proposed algorithm performs better than the existing active noise cancellation algorithm using variable step size NSAF without additional calculation. The simulation results also show that the proposed algorithm is robust even under erroneously estimated environmental conditions.