• The Korea Journal of Herbology
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• v.35 no.5
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• pp.23-31
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• 2020

Objectives : This study was conducted to evaluate the anti-hyperlipidemia effect of Scutellariae Radix, Aucklandiae Radix and Bupleuri Radix(SAB). Methods : FL83B cells were mouse liver hepatocytes, and we used this cell line. FL83B cells were treated with 0.5 mM oleic acid(OA) for 24 h, SAB extract was treated. After OA treatment, intracellular triglyceride (TG) and free fatty acid contents were measured with AdiopoRed™ assay and Free Fatty Acid Quantitation assay kit, respectively. Further, we evaluated several lipogenesis and metabolic markers such as sterol regulatory element-binding transcription factor-1c (SREBP-1c), acetyl-CoA carboxylase (ACC), fatty acid synthase (FAS), 3-hydroxy3-methyl-glutaryl CoA reductase (HMGCR), hormone-sensitive lipase (HSL), carnitine palmitoyltransferase (CPT-1), peroxisome proliferator activated receptor alpha (PPARα), and cluster of differentiation (CD36) using RT-PCR and Western-blot analysis. Results : OA markedly increased intracellular TG and free fatty acid, which plays a key role in reducing hepatic lipid accumulation, in FL83B cells. These increases were alleviated by SAB extract. The mRNA and protein expression of Fatty acid(FA) oxidation factors (CPT-1, PPARα), lipolysis factor(HSL), FA transporter(CD36), cholesterol synthesis factors (HMGCoA) and Lipodenesis (SREBP-1c, FAS, and ACC-1) were significantly increased by treatment of SAB extract in the OA-induced fatty liver cell model. Conclusions : In summary, the treat of SAB extract showed a significant reduction of the influx of fatty acids into hepatocytes, promoted the oxidation of fatty acids, and regulated fat synthesis-related factors, thereby regulating the accumulation of TG and free fatty acids.

• Journal of Digital Convergence
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• v.10 no.7
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• pp.93-98
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• 2012

The rapid change of business environments request the company to act more smart and intelligent in making business strategies and planning the business processes. To meet this requirement, we need to have smart Business Intelligent System(hereinafter "BI") in the company. On the one hand, many korean companies had already installed BI system, and the other hand some companies have plans to implement BI Systems additionally to their Information System. It is very important to have the pictures which factors are critical to the successful implementation of BI, and to survey which critical success factor(hereinafter CSF) are important compared to each factors. In this paper data was gathered from companies already have their BI Systems. We measured IT-Infra maturity, User Education, and Company Organization, and Company Business Strategy, which are the critical success factors for the BI System. After surveying the CSF of BI System, we measured the weights among these factors by AHP. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0), and the AHP analysis showed the list of CSF's weight list according to its significance priorities. The results of this paper could be the valuable references for the implementing process of the BI System in korean company.

• Journal of Navigation and Port Research
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• v.35 no.5
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• pp.439-444
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• 2011

This study is aimed to extract the key role of port operation organizations for the development of region ports and identify the operating efficiency priorities of three ports such as Busan, Incheon and UIsan port operated by PA(port authority). The Factor Analysis(FA) and Fuzzy Method were used as the analysis methodes. As an important role of port authority and regional maritime affairs & port office, thirteen sub-evaluation factors and four top-level evaluation factors were selected using the FA. Among the top-level evaluation factors i.e. 'port security, information management', service for regional society and customers', 'port marketing' and 'customer attraction', the most important factor was identified as 'port marketing'. The total port efficiency was evaluated using these factors and Fuzzy Method. As a result, Busan ranked 1st, followed by Incheon and Ulsan.

• Journal of the Korean Society of Costume
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• v.34
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• pp.5-17
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• 1997

The porpose of this study was to know what kinds of clothes the elderly women preferred to wear according to their ages and body type and to pro-vide basic data for clothing design of the elderly women. Anthropometric analysis and questionnaire study wear done on 230 elderly women over sixty years, For analysis of the data One-way ANOVA and Chi-square were employed. The results of this study were as fol-lows: 1) The elderly women have a prefer-ance fore 'Front openning style' and 'Two-opiece style' which are easy to wear and prefer skirts to pants. 2) Their preference for clothes is de-pendent on their age rather than their body type. 3) The age is the decisive factor on blouse collar design neckline style sleeve ending skirt length location of zippe and waist band style when the select the clothes. 4) The body type is the decisive fa-ctor on jacket style skirt length and waist band style.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.69-72
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• 2002

본 논문에서 화자공간모델 evolution에 기반한 continuous density hidden Markov model (CDHMM)의 online 적응에 대한 새로운 기법을 제안한다. 학습화자의 a priori knowledge을 나타내는 화자공간모델은 factor analysis (FA) 또는 probabilistic principal component analysis (PPCA)와 같은 은닉변수모델(latent variable model)에 의해 효과적으로 나타내어진다. 은닉 변수모델은 화자공간모델뿐아니라 CDHMM 파라메터의 ajoint prior분포를 표시함으로, maximum a posteriori(MAP)적응기법에 직접 적용되어진다. 화자공간모델의 hyperparameters와 CDHMM파라메터를 동시에 순차적으로 적응하기 위해 quasi-Bayes (QB)추정 기술에 기반한 online 적응기법을 제안한다. 연속숫자음 인식과 관련된 화자적응 실험을 통해 제안된 기법은 적은 적응데이터에서 좋은 성능을 나타내며, 데이터가 증가함에 따라 성능이 지속적으로 증가함을 보여준다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.323-325
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• 2021

In this article, we have improved the prediction of hypertension detection using the feature selection method for the Korean national health data named by the KNHANES database. The study identified a variety of risk factors associated with chronic hypertension. The paper is divided into two modules. The first of these is a data pre-processing step that uses a factor analysis (FA) based feature selection method from the dataset. The next module applies a predictive analysis step to detect and predict hypertension risk prediction. In this study, we compare the mean standard error (MSE), F1-score, and area under the ROC curve (AUC) for each classification model. The test results show that the proposed FIFA-OE-NB algorithm has an MSE, F1-score, and AUC outcomes 0.259, 0.460, and 64.70%, respectively. These results demonstrate that the proposed FIFA-OE method outperforms other models for hypertension risk predictions.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.485-494
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• 2020

The study aims to identify and measure factors affecting the salaries of employees in manufacturing enterprises in Hanoi, the important area of Vietnam's economy. We conducted a questionnaire consisting of 31 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". Based on the literature review and results of interviews, a total of 350 questionnaires were sent to participants; 300 of them met the standards and were subject to be analyzed. The results of Exploratory Factor Analysis (EFA) and Multiple Regression Analysis (MRA) identify six main determinants influencing the salaries of employees in manufacturing enterprises in Hanoi, including Paying views of business leaders (PV), Financial ability of the enterprise (FA), Capacity of workers (CW), Capacity of the contingent of employees engaged in salary work (CC), Role of grassroots trade unions (TU), and State policies and laws on labor - salaries (STL). Based on the findings, some recommendations have been proposed to help the firm leaders design appropriate personnel policies for creating better job satisfactions for employees in the future. On this basis, the authors propose a number of recommendations to improve the salaries of employees in manufacturing enterprises in Hanoi.

• Journal of Advanced Marine Engineering and Technology
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• v.40 no.6
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• pp.476-483
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• 2016

An organic Rankine cycle for ocean thermal energy conversion system is a generating cycle using the temperature difference between surface water and deep water of the ocean. The working fluid is an important factor in the thermodynamic performance of an organic Rankine cycle. There is pinch point analysis as thermodynamic analysis of an organic Rankine cycle. This study performed a thermodynamic performance analysis according to variation in the pinch point temperature difference in heat exchangers and variation of outlet temperature of heat source and heat sink. It analyzed the thermodynamic performance by applying seven types of simple working fluids in a simple Rankine cycle for ocean thermal energy conversion that was designed according to pinch point analysis. As a result of the performance analysis, cycle irreversibility and total exergy destruction factor more decreased, and second law efficiency more increased in the lower pinch point temperature difference and temperature variation of heat source and heat sink in heat exchangers. In addition, the irreversibility changed greatly at a point that occurred in the thermodynamic variation. Among the selected working fluids, RE245fa2 showed the best thermodynamic performance, and the performance of all working fluids was observed to be similar. It needs a strict theoretical basis about diverse factors with thermodynamic performances in selecting heat exchangers and working fluids.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.93-98
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• 2012

This study was to analyze the influences of various factors on the u-health service. Data was surveyed from experienced of u-Health service sectors. We measured legal support, IT-infra, user education, the user education, and the u-Health solution, are the critical success factors for the u-Health service. Also we evaluated u-Health services by survey data from the users. We did also the research to evaluate the validity and reliability of these factors. After that the Analytical Hierarchy Process (AHP) was applied to measure the weights among these factors. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0). The AHP analysis showed the list of Critical Success Factors weighted by its significance priorities. The results of this paper could be the valuable references for the policy making process of the u-Health system in Korea.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.4019-4023
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• 2016

Background: Colorectal cancer (CRC) or bowel cancer is one of the most important cancer diseases, needing serious attention. The cell surface receptor gene human epidermal growth factor receptor (EGFR) may have an important role in provoking CRC. In this pharmaceutical era, it is always attempted to identify plant-based drugs for cancer, which will have less side effects for human body, unlike the chemically synthesized marketed drugs having serious side effects. So, in this study the authors tried to assess the activity of two important plant compounds, ferulic acid (FA) and p-coumaric acid (pCA), on CRC. Materials and Methods: FA and pCA were tested for their cytotoxic effects on the human CRC cell line HCT 15 and also checked for the level of gene expression of EGFR by real time PCR analysis. Positive results were confirmed by in silico molecular docking studies using Discovery Studio (DS) 4.0. The drug parallel features of the same compounds were also assessed in silico. Results: Cytotoxicity experiments revealed that both the compounds were efficient in killing CRC cells on a controlled concentration basis. In addition, EGFR expression was down-regulated in the presence of the compounds. Docking studies unveiled that both the compounds were able to inhibit EGFR at its active site. Pharmacokinetic analysis of these compounds opened up their drug like behaviour. Conclusions: The findings of this study emphasize the importance of plant compounds for targeting diseases like CRC.