• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.113.3-114
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• 2003

The increased deposition of extracellular matrix by hepatic stellate cells following liver injury in a process known as activation is considered a key mechanism for increased collagen content of liver during the development of liver fibrosis. In this study, we investigated the protective effects of an aqueous extract from the roots of Platycodon grandiflorum A. DC (Campanulaceae), Changkil (CK), on hepatic fibrosis in hepatic stellate cells. We report that CK reduces the accumulation of collagen in acetaldehyde-induced hepatic stellate cells. (omitted)

• 대한전자공학회논문지SD
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• 제42권11호
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• pp.33-40
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• 2005

본 논문에서는 지상파 DMB 단말기 모뎀의 핵심 기능블록으로 사용되는 FFT/IFFT 코어(FFT256/2k)를 설계하였다. 설계된 코어는 Eureka-147 전송 규격에 명시된 4가지 전송모드를 지원할 수 있도록 256/512/1204/2048점 FFT/IFFT를 선택적으로 수행하도록 설계되었다. R2SDF와 R2SDC 구조를 혼합하여 적용함으로써 메모리 용량을 최소화 하였으며, R2SDC 단일 구조로 구현한 경우에 비해 메모리 크기를 약 $62\%$ 감소시켰다. 또한 TS_CBFP(Two Step Convergent Block Floating Point)를 사용하여 SQNR를 향상시켰으며, 50MHz(a)2.5-V로 동작하는 경우 2048점 FFT/IFFT 연산에 $41-\;{\mu}s$가 소요되었다 Verilog-HDL로 설계된 코어는 $0.25-\;{\mu}m$ CMOS Cell 라이브러리로 합성한 결과 약 68,400개의 게이트와 58,130 비트의 메모리로 구현되었으며, switching activity를 산출하여 전력소모를 측정한 결과 2048점 FFT의 경우 113-mW의 전력을 소모하는 것으로 추정되었다. 설계된 코어를 FPGA에 구현하여 동작시킨 결과 정상 동작을 검증하였으며, 전체 평균 50-dB 이상의 SQNR 성능을 보였다.

• 한국염색가공학회지
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• 제12권6호
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• pp.344-352
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• 2000

Two kinds of nylon 6 fabrics with different fiber denier, such as ultramicro fiber(UMF) nonwoven fabric(monodenier 0.05d) and regular fabric(monodenier 2.92d) are dyed with C.I. Acid Red 18(leveling type) and C.I. Acid Blue 113(milling type). Dyeing rates and adsorption isotherms are measured at $60^\circ{C}$, pH 5.0 and at liquor ratio of 1 : 250. To investigate the effect of fixing agents (Matexil FA-SNX, Monorex-RD and Tinofix-ECO) on UMF nylon 6 nonwoven fabric, dyeing is carried out at 3~10% owf with 1 : 2 metal-complex acid dyes, such as Kayalax Navy R(unsulphonated type), Lanasyn Blue S-BL(monosulphonated type) and Kayakalan Black BGL(disulphonated type). The dyeing rate of UMF nylon 6 is faster than that of regular nylon 6. From the results of absorption isotherms, the regular nylon 6 has higher saturation value of Acid Red 18 compared with UMF nylon 6, whereas UMF nylon 6 has higher saturation value of the acid Blue 113. From the absorption isotherms of both acid dyes, the regular nylon 6 has higher saturation value of Acid Red 18, whereas UMF nylon 6 has higher saturation value of the acid Blue 113. The wash fastnesses of UMF nylon 6 increases in the order of metal-complek dye containing nonsulphonated group > monosulphonated group>disulphonated group. Aftertreatment of UMF nylon 6 dyed with unsulponated and monosulphonated dyes improves wash fastness upto grade 1.5, where as that of UMF nylon 6 dyes with disulphonated dye does not improve wash fastness.

• 한국직업건강간호학회지
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• 제28권2호
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• pp.104-113
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• 2019

Purpose: This study aimed to investigate the factors affecting general hospital nurses' intention to stay in their jobs. Methods: A descriptive research design was used with a convenience sample of 286 nurses. Data were collected from March 15 to April 14, 2017using self-reported questionnaires and analyzed by descriptive statistics, t-test, analysis of variance, Pearson's correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The mean scores for intention to stay, resilience, and emotional labor were 5.28 out of 8, 57.40 out of 100, and 3.23 out of 5, respectively. Intention to stay was positively correlated with overall career (r=.30), workplace (r=.18), shift work (r=-.20), position (r=.28), salary (r=.13), job satisfaction (r=.51), hospital satisfaction (r=.46), and resilience (r=.41). Factors influencing the intention to stay were job satisfaction and resilience, which explained 28% of the variance. Conclusion: Overall career, job satisfaction, and resilience are critical factors affecting general hospital nurses' intention to stay. Based on the findings of this study, efforts to improve nurses' job satisfaction and resilience should be implemented to mitigate the loss of this expert group among healthcare professionals.

• 대한기계학회논문집B
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• 제34권2호
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• pp.113-120
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• 2010

마이크로채널 열교환기에서 R-134a의 증발열전달 특성에 관하여 실험적 연구를 수행하였다. 마이크로채널은 금속박판인 SUS304에 포토에칭 공정으로 식각되었으며, 13개의 금속박판은 차례로 적층되어 확산접합공정을 통하여 접합되었다. 본 연구에서는 R-134a의 증발온도, 질량유속 그리고 물의 입구온도의 변화에 따른 열전달 특성을 대향류 조건에서 실험하였다. 실험결과 R-134a와 물의 입구온도차가 클수록 증발열전달량은 증가하였으며, 증발열전달계수는 0.67 kW/$m^2{\cdot}^{\circ}C$에서 6.23 kW/$m^2{\cdot}^{\circ}C$이었다. 아울러 마이크로채널 열교환기에서 R-134a와 물의 열교환에 따른 증발열전달 특성에 영향을 미치는 Reynold수와 무차원 온도비 $\Theta$를 도출하여 Nusselt수에 관한 실험적 상관식을 제안하였다.

• 대한기계학회논문집
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• 제15권6호
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• pp.2189-2205
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• 1991

본 연구에서는 혼합냉매의 열역학적 물성치를 정확하게 예측하기 위하여 척력 과 인력항으로 된 간단한 형태의 상태방정식을 택하고 이를 이용하여 순수성분에 대한 열역학적 물성치 자료와 혼합냉매에 대한 기액평형상태 자료를 이용하여 혼합물에 대 한 열역학적 물성치를 보다 더욱 정확하게 예측 할 수 있는 방법에 관해 연구하고자 한다.혼합냉매에 대한 상태방정식과 이상기체 상태의 비열자료를 기초로 열역학적 관계식을 이용하여, 압력-엔탈피, 온도-엔트로피 관계를 공식화하며, 혼합냉매에 대한 열펌프 및 냉동사이클 해석에 필요한 자료를 제시한다.

• The Plant Pathology Journal
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• 제23권2호
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• pp.113-115
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• 2007

A kind of naphthoquinone, plumbagin was purified and identified from the leaves of Nepenthes $ventricosa\;{\times}\;maxima$ through solvent extraction, silica gel column chromatography, and recrystallization. The yield (0.51%) was higher than that of the root of Plumbago scandens (0.26%), P. capensis (0.15%), and N. thorelii (0.092%). It exhibited antifungal activity against all plant pathogenic fungi tested, Alternaria alternata, Aspergillus niger, Bipolaris oryzae, Fusarium oxysporum, Phytophthora capsici, Rhizoctonia solani, Rhizopus stolonifer var. stolonifer and Sclerotinia sclerotiorum. The minimum inhibitory concentration values ranged from about 4.8 to $56.6\;{\mu}g/ml$ against the above eight fungi and R. solani was the most sensitive.

• 호남수학학술지
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• 제32권1호
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• pp.113-129
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• 2010

Inclusion and exclusion is used in many papers to count certain objects exactly or asymptotically. Also it is used to derive the Bonferroni inequalities in probabilistic area [6]. Inclusion and exclusion on finitely many types of properties is first used in R. Meyer [7] in probability form and first used in the paper of McKay, Palmer, Read and Robinson [8] as a form of counting version of inclusion and exclusion on two types of properties. In this paper, we provide a proof for inclusion and exclusion on finitely many types of properties in counting version. As an example, the asymptotic number of general cubic graphs via inclusion and exclusion formula is given for this generalization.

• International Journal of Aeronautical and Space Sciences
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• 제15권2호
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• pp.113-122
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• 2014

The objective of the paper is to clarify a methodology based on the use of the existing component mode synthesis methods for the case of two damped substructures which are coupled through a linking viscoelastic flexible substructure and for which the structural modes with free geometrical interface are used for each main substructure. The proposed methodology corresponds to a convenient alternative to the direct use either of the Craig-Bampton method applied to the three substructures (using the fixed geometric interface modes) or of the flexibility residual approaches initiated by MacNeal (using the free geometric interface modes). In opposite to a geometrical interface which is a topological interface on which there is a direct linkage between the degrees of freedom of substructures, we consider a physical flexible interface which exists in certain present technologies and for which the general framework linear viscoelasticity is used and yields a frequency-dependent damping and stiffness matrices of the physical flexible interface.

• 전기학회논문지
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• 제64권1호
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• pp.113-120
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• 2015

In this paper, we propose a feature extraction method using the stacked autoencoders which consist of restricted Boltzmann machines. The stacked autoencoders is a sort of deep networks. Restricted Boltzmann machines (RBMs) are probabilistic graphical models that can be interpreted as stochastic neural networks. In terms of pattern classification problem, the feature extraction is a key issue. We use the stacked autoencoders networks to extract new features which have a good influence on the improvement of the classification performance. After feature extraction, fuzzy k-nearest neighbors algorithm is used for a classifier which classifies the new extracted data set. To evaluate the classification ability of the proposed pattern classifier, we make some experiments with several machine learning data sets.