• 제목/요약/키워드: Pseudo Component

검색결과 84건 처리시간 0.021초

Nepal산 Pseudo Ginseng 성분이 암독소 호르몬-난의 체지방 분해작용에 미치는 영향 (Effect of Nepalese Pseudo Ginseng Components on Lipolytic Action of Toxohormone-L from Cancerous Ascites Fluid)

  • 이성동;오전척도
    • 한국식품영양학회지
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    • 제6권2호
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    • pp.109-114
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    • 1993
  • This study was divised to observe an Inhibitory effect toward a lipolytic action of toxohormone-L from large root and small root Nepal pseudo ginseng (NPG ; Nepal products) components by water extract and ethanol precipitate in vitro. Toxohormone-L is known to be a lipolytic factor that was partially purified from the ascites fluid of Sarcoma 180-bearing mice and of patients with hepatoma. The inhibitory effect that inhibited the lipolytic action of toxohormone-L by ethanol Precipitate component of large root NPG (mean 55.5%) was higher (mean 1.37 times) than that of water extract component in final reaction concentration of 500 and 1, 000ug/ml, on the other side inhibitory effect of water extract component in small root NPG (mean 55.5%) was higer (mean 1.14 times) than that of ethanol precipitate component. In a way inhibitory effect of precipitate component In large root NPG(47.6%), when final reaction concentration of sample were 1, 000ug/ml, was about 40% lower than that of Korean red ginseng.

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Estimation of Ionospheric Delays in Dual Frequency Positioning - Future Possibility of Using Pseudo Range Measurements -

  • Isshiki, Hiroshi
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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    • pp.185-190
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    • 2006
  • The correct estimation of the ionospheric delays is very important for the precise kinematic positioning especially in case of the long baseline. In case of triple frequency system, the ionospheric delays can be estimated from the measurements, but, in case of dual frequency system, the situation is not so simple. The precision of those supplied by the external information source such as IONEX is not sufficient. The high frequency component is neglected, and the precision of the low frequency component is not sufficient for the long baseline positioning. On the other hand, the high frequency component can be estimated from the phase range measurements. If the low frequency components are estimated by using the external information source or pseudo range measurements, a more reasonable estimation of the ionospheric delays may be possible. It has already been discussed by the author that the estimation of the low frequency components by using the external information source is not sufficient but fairly effective. The estimation using the pseudo range measurements is discussed in the present paper. The accuracy is not sufficient at present because of the errors in the pseudo range measurements. It is clarified that the bias errors in the pseudo range measurements are responsible for the poor accuracy of the ionospheric delays. However, if the accuracy of the pseudo range measurements is improved in future, the method would become very promising.

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Nepal Pseudo Ginseng 성분이 Toxohormone-L에 의한 체지방 분해작용에 미치는 영향 (Effect of Nepal Pseudo Ginseng Components on Lipolytic Action of Toxohormone-L from Cancerous Ascites Fluid)

  • 이함동;여전척도
    • 한국식품영양학회지
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    • 제4권1호
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    • pp.75-80
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    • 1991
  • This study was divised to observe an inhibitory toward a lipolytic action of toxohormone-L from large root and small root Nepal pseudo ginseng(NPG ; Nepal products) components by water extract and ethanol precipitate in vitro. Toxohormone-L Is known to be a lipolytic factor that was partially purified from the ascites fluid of sarcoma 180-hearing mice and of patients with hepatoma. The inhibitory effect that inhibited the lipolytic action of toxohormone-L by ethanol precipitate component of large root NPG(mean 46.8%) was higher (mean 1.8 times) than that of water extract component in final reaction concentration ,5001g1m1, on the other side inhibitory effect of water extract component in small root NPG(mean 43.9%) was higher(mean 1. 2 times) than that of ethano1 precipitate component, respectively. In a way inhibitory effect of ethanol precipitate component in large root NPG(47.6%), when final reaction concentration of sample were 1,000 U g/ml, was about 4095 lower than that of Korean red ginseng, respectively.

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유사휘발유 사용에 의한 BTX 배출량 추정 (Estimation of BTX Emission Using Pseudo-gasoline)

  • 전소영;김정;장영기;정봉진
    • 한국대기환경학회지
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    • 제28권5호
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    • pp.527-537
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    • 2012
  • The increasing consumption of pseudo-petroleum products (PPP) has been disturbing the national petroleum market. The use of PPP lead to tax evasion, disturbance of sound trading principles, component corrosion of cars, and explosion accident. Also, PPP have emitted hazardous air pollutants (HAP) including the carcinogenic aromatic hydrocarbons, PAHs and aldehydes more than regular-petroleum products. It thus has potentials to cause many environmental and health care problems. In this study, benzene, toluene and xylene emissions from road transport vehicles due to the use of pseudo-gasoline are estimated for the year 2008. The results of our study provide emission estimates of benzene, toluene and xylene for the year as 405, 1,711, 717 tonne/yr, respectively for regular-gasoline. BTX emissions are calculated as 452~515, 1,882~2,264 and 732~752 tonne/yr when the amount of pseudo-gasoline is estimated to account for 6~13% for regular-gasoline consumption. BTX emissions increased as much as 12~27, 10~32, 2~5% by using pseudo-gasoline. It is found that the pseudo-gasoline should be the key component to produce HAP in urban area.

A novel method for predicting protein subcellular localization based on pseudo amino acid composition

  • Ma, Junwei;Gu, Hong
    • BMB Reports
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    • 제43권10호
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    • pp.670-676
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    • 2010
  • In this paper, a novel approach, ELM-PCA, is introduced for the first time to predict protein subcellular localization. Firstly, Protein Samples are represented by the pseudo amino acid composition (PseAAC). Secondly, the principal component analysis (PCA) is employed to extract essential features. Finally, the Elman Recurrent Neural Network (RNN) is used as a classifier to identify the protein sequences. The results demonstrate that the proposed approach is effective and practical.

감정 인식을 위해 CNN을 사용한 최적화된 패치 특징 추출 (Optimized patch feature extraction using CNN for emotion recognition)

  • 하이더 이르판;김애라;이귀상;김수형
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2023년도 춘계학술발표대회
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    • pp.510-512
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    • 2023
  • In order to enhance a model's capability for detecting facial expressions, this research suggests a pipeline that makes use of the GradCAM component. The patching module and the pseudo-labeling module make up the pipeline. The patching component takes the original face image and divides it into four equal parts. These parts are then each input into a 2Dconvolutional layer to produce a feature vector. Each picture segment is assigned a weight token using GradCAM in the pseudo-labeling module, and this token is then merged with the feature vector using principal component analysis. A convolutional neural network based on transfer learning technique is then utilized to extract the deep features. This technique applied on a public dataset MMI and achieved a validation accuracy of 96.06% which is showing the effectiveness of our method.

Lagrangian Perturbation Theory for the Cosmological Structure Formation with 2-component Fluid

  • Ahn, Kyungjin
    • 천문학회보
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    • 제42권2호
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    • pp.55.3-55.3
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    • 2017
  • We present the preliminary result of our Lagrangian perturbation theory for the large-scale structure formation, in the presence of the cold dark matter (CDM) and the baryonic fluid. In the linear order, two mutually independent pseudo-particles can describe the evolution of density fluctuations and the accuracy of the calculation is better than the 4-mode (growing, decaying, streaming, compensated) Eulerian linear perturbation theory. In the $2^{nd}$ order, the separability of pseudo-particles is not as straightforward as in the linear order, and the related difficulty in developing the $2^{nd}$ order theory will also be presented.

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ZrOCl2·8H2O as an Efficient Catalyst for the Pseudo Four-Component Synthesis of Benzopyranopyrimidines

  • Tavakoli, Hamid Reza;Moosavi, Sayed Mojtaba;Bazgir, Ayoob
    • 대한화학회지
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    • 제57권2호
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    • pp.260-263
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    • 2013
  • An efficient and environmentally benign protocol for the pseudo four-component synthesis of benzopyranopyrimidines via condensation of salicylic aldehydes, malononitrile and various amines catalyzed by $ZrOCl_2{\cdot}8H_2O$ as an inexpensive and eco-friendly catalyst with high catalytic activity under solvent-free conditions is reported. This protocol provides a new and improved method for obtaining benzopyranopyrimidines in terms of good yields, simple experimental procedure and short reaction time.

Isolation of a Multidrug Resistance Inhibitor from Aconitum pseudo-laeve var. erectum

  • Kim, Dae-Keun;Kwon, Hyog-Young;Lee, Kang-Ro;Rhee, Dong-Kwon;Zee, Ok-Pyo
    • Archives of Pharmacal Research
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    • 제21권3호
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    • pp.344-347
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    • 1998
  • To overcome multidrug resistance (MDR) in cancer chemotherapy, we prepared various plant extracts and searched for a component which is effective for inhibition of MDR. MDR inhibition activity was determined by measuring cytotoxicity to MDR cells using multidrug resistant human fibrocarcinoma KB V20C, which is resistant to 20 nM vincristine and expresses high level of mdr1 gene. Of various plant extracts, the MeOH extract of the root of Aconitum pseudo-laeve var. erectum was found to have potent inhibitory activity on MDR. The bioassayguided fractionation of the MeOH extract of the plant led to the isolation of an alkaloid, lycaconitine, as an active principle. And the $IC_{50}$ of lycaconitne for KB V20C cells was $74\mu{g}$/ml.

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얼굴인증 방법들의 조명변화에 대한 견인성 비교 연구 (Study On The Robustness Of Face Authentication Methods Under illumination Changes)

  • 고대영;김진영;나승유
    • 정보처리학회논문지B
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    • 제12B권1호
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    • pp.9-16
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    • 2005
  • 본 논문은 얼굴인증 시스템 구현과 조명변화에 견인한 얼굴인증 방법들에 관한 연구에 초점을 둔다. 얼굴인증 시스템 구현을 위한 방법으로 PCA(Principal Component Analysis), GMM(Gaussian Mixture Models), 1차원 HMM(1 Dimensional Hidden Markov Models), 준 2차원 HMM(Pseudo 2 Dimensional Hidden Markov Models) 방법을 이용한다. 네 가지 다른 얼굴인증 방법들의 조명변화에 대한 성능비교 실험을 수행한다. 조명변화실험을 위해 얼굴이미지의 왼쪽에서 오른쪽으로 인공적인 조명효과(${\delta}=0,40,60,80$)를 준다. 얼굴특징벡터는 얼굴이미지에서 분할한 각 블록에 대한 2D DCT(2 Dimensional Discrete Cosine Transform) 계수를 이용하고 실험은 ORL(Olivetti Research Laboratory) 얼굴데이터베이스를 사용한다. 실험결과 모든 경우 조명변화 값이 커질수록 성능저하가 발생한다. 또한 조명변화가 없는 경우(${\delta}=0$) 준 2차원 HMM이 $2.54{\%}$, 1차원 HMM이 $3.18{\%}$, PCA가 $11.7{\%}$, GMM이 $13.38{\%}$의 EER(Equal Error Rate) 성능을 나타낸다. 조명변화가 없는 경우(${\delta}=0$) 1차원 HMM 방법이 PCA 방법보다 좋은 성능을 나타내지만 조명변화 ${\delta}{\geq}40$인 때에는 반대로 PCA 방법이 더 좋은 성능을 나타낸다. 마지막으로 준 2차원 HMM의 경우 조명변화에 관계없이 가장 좋은 EER성능을 나타낸다.