• 제목/요약/키워드: combined power of discrimination

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춘란(Cymbidium goeringii) 품종에 대한 Simple Sequence Repeats (SSR) DNA 마커의 복합 유전자형 결정과 적용 (Determination and Application of Combined Genotype of Simple Sequence Repeats (SSR) DNA Marker for Cultivars of Cymbidium goeringii)

  • 이대건;고재철;정기화
    • 원예과학기술지
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    • 제30권3호
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    • pp.278-285
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    • 2012
  • 춘란(Cymbidium goeringii)은 동북아시아에서 난류중에서 가장 잘 알려진 중요한 종이다. 본 연구에서는 8개의 simple sequence repeats(SSR) 마커(CG409, CG415, CG709, CG722,CG787, CG1023, CG1210, and CG1281)를 동시증폭할 수 있는 multiplex PCR 시스템을 개발하여, 춘란의 40품종에 대한 유전자형을 분석하하는데 활용하였다. 품종은 모든 품종은 서로 다른 복합 유전자형을 가졌으며, 개체간 평균 복합식별력은 $7.14{\times}10^{-10}$로 매우 높게 나타났다. 관찰 이형접합도(Ho = 0.466)는 한국 내 야생집단과 유사한 값(동해안: 0.438, 서해안: 0.583)을 보였는데, 이 사실은 각 품종이 원래 야생에서 채집되어 품종으로 등록된 후 영양번식을 통해 번식을 하면서 유전적 본질이 변형되지 않았음을 의미한다. 본 연구에서 아울러 확립한 8개의 SSR 마커의 복합 유전자형을 이용하여 SSR DNA ID를 2차원 바코드로 표현하는 프로그램을 개발하였다. 복합 유전자형을 사용하여 개발된 개체별 고유 DNA ID의 개체 식별력은 통계적으로 99.999999% 이상이 되므로 높은 정확도로 개체간 구분이 가능해진다. 본 연구에서 개발한 SSR DNA ID와 2차원 바코드는 춘란 품종간 식별, 유지 등에 유용하게 활용될 수 있을 것이다.

혼합송전계통에서 웨이브렛 변환을 이용한 고장점 탐색 알고리즘에 관한 연구 (A Study on a Fault Location Algorithm Using Wavelet Transform in Combined Transmission Systems)

  • 정채균;이종범;윤양웅
    • 대한전기학회논문지:전력기술부문A
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    • 제51권5호
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    • pp.247-254
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    • 2002
  • This paper describes a fault location algorithm in real combined transmission systems with underground power cable. The algorithm to calculate the fault location was developed using DWT wavelet transform and travelling wave occurred at fault point. And the proposed algorithm is also used the transient signal of one end in stead of the signal information of two ends. On the other hand, in this papers, the method to discriminate fault point between overhead line and cable section is also Proposed. Variety simulations were carried out to verify the accuracy and effectiveness of the proposed algorithm using EMTP/ATFDraw and Matlab. Simulation results show that the proposed method has the excellent ability for discrimination of fault section and fault location in combined transmission systems with power cables.

해삼(Stichopus japonicus)의 microsatellite 유전자형 분석을 위한 multiplex PCR 시스템 개발 (Development of a Multiplex PCR System for Microsatellite Genotyping of the Sea Cucumber Stichopus japonicus)

  • 심용택;이철상
    • 한국수산과학회지
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    • 제50권6호
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    • pp.806-811
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    • 2017
  • A multiplex PCR system comprising 14 microsatellite markers was developed for genotyping analysis of the sea cucumber Stichopus japonicus. A total of 286 samples were used to evaluate genetic polymorphisms and forensic parameters of the microsatellite loci. In a single PCR reaction, all 14 loci were uniformly amplified and a total of 269 alleles were identified. The AJ19024 locus had the largest number of alleles (46), and its discriminatory power and exclusion power were 0.99 and 0.76, respectively. The fewest alleles (8) were present at the Psj2575 locus, which provided the lowest discriminatory power (0.81) and exclusion power (0.20). The mean number of alleles, mean heterozygosity, mean discrimination power and mean exclusion power per locus were 19.21, 0.70, 0.93, and 0.46, respectively. The combined matching probability for the 14 loci was $9.64{\times}10^{-19}$, and the combined power of exclusion was 0.999995. Thus, the forensic parameters evaluated in the present study demonstrated the utility of our multiplex PCR system for biological tracing methods, such as individual identification and paternity testing, in the sea cucumber.

An approach for simultaneous determination for geographical origins of Korean Panax ginseng by UPLC-QTOF/MS coupled with OPLS-DA models

  • Song, Hyuk-Hwan;Kim, Doo-Young;Woo, Soyeun;Lee, Hyeong-Kyu;Oh, Sei-Ryang
    • Journal of Ginseng Research
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    • 제37권3호
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    • pp.341-348
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    • 2013
  • Identification of the origins of Panax ginseng has been issued in Korea scientifically and economically. We describe a metabolomics approach used for discrimination and prediction of ginseng roots from different origins in Korea. The fresh ginseng roots from six ginseng cooperative associations (Gangwon, Gaeseong, Punggi, Chungbuk, Jeonbuk, and Anseong) were analyzed by UPLC-MS-based approach combined with orthogonal projections to latent structure-discriminant analysis multivariate analysis. The ginsengs from Gangwon and Gaeseong were easily differentiated. We further analyzed the metabolomics results in subgroups. Punggi, Chungbuk, Jeonbuk, and Anseong ginseng could be easily differentiated by the first two orthogonal components. As a validation of the discrimination model, we performed blind prediction tests of sample origins using an external test set. Our model predicted their geographical origins as 99.7% probability. The robust discriminatory power and statistical validity of our method suggest its general applicability for determining the origins of P. ginseng samples.

Noncontrast Computed Tomography-Based Radiomics Analysis in Discriminating Early Hematoma Expansion after Spontaneous Intracerebral Hemorrhage

  • Zuhua Song;Dajing Guo;Zhuoyue Tang;Huan Liu;Xin Li;Sha Luo;Xueying Yao;Wenlong Song;Junjie Song;Zhiming Zhou
    • Korean Journal of Radiology
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    • 제22권3호
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    • pp.415-424
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    • 2021
  • Objective: To determine whether noncontrast computed tomography (NCCT) models based on multivariable, radiomics features, and machine learning (ML) algorithms could further improve the discrimination of early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH). Materials and Methods: We retrospectively reviewed 261 patients with sICH who underwent initial NCCT within 6 hours of ictus and follow-up CT within 24 hours after initial NCCT, between April 2011 and March 2019. The clinical characteristics, imaging signs and radiomics features extracted from the initial NCCT images were used to construct models to discriminate early HE. A clinical-radiologic model was constructed using a multivariate logistic regression (LR) analysis. Radiomics models, a radiomics-radiologic model, and a combined model were constructed in the training cohort (n = 182) and independently verified in the validation cohort (n = 79). Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate the discriminative power. Results: The AUC of the clinical-radiologic model for discriminating early HE was 0.766. The AUCs of the radiomics model for discriminating early HE built using the LR algorithm in the training and validation cohorts were 0.926 and 0.850, respectively. The AUCs of the radiomics-radiologic model in the training and validation cohorts were 0.946 and 0.867, respectively. The AUCs of the combined model in the training and validation cohorts were 0.960 and 0.867, respectively. Conclusion: NCCT models based on multivariable, radiomics features and ML algorithm could improve the discrimination of early HE. The combined model was the best recommended model to identify sICH patients at risk of early HE.

DEA와 BSC 기법을 이용한 조직 효율성 비교에 대한 연구 (A Combined DEA-BSC methodology for evaluating organizational efficiency)

  • 김범수;장태우;신기태;박진우
    • 산업경영시스템학회지
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    • 제28권2호
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    • pp.18-26
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    • 2005
  • The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

제2형 당뇨병의 위험인자 분석을 위한 다층 퍼셉트론과 로지스틱 회귀 모델의 비교 (A comparison of Multilayer Perceptron with Logistic Regression for the Risk Factor Analysis of Type 2 Diabetes Mellitus)

  • 서혜숙;최진욱;이홍규
    • 대한의용생체공학회:의공학회지
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    • 제22권4호
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    • pp.369-375
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    • 2001
  • The statistical regression model is one of the most frequently used clinical analysis methods. It has basic assumption of linearity, additivity and normal distribution of data. However, most of biological data in medical field are nonlinear and unevenly distributed. To overcome the discrepancy between the basic assumption of statistical model and actual biological data, we propose a new analytical method based on artificial neural network. The newly developed multilayer perceptron(MLP) is trained with 120 data set (60 normal, 60 patient). On applying test data, it shows the discrimination power of 0.76. The diabetic risk factors were also identified from the MLP neural network model and the logistic regression model. The signigicant risk factors identified by MLP model were post prandial glucose level(PP2), sex(male), fasting blood sugar(FBS) level, age, SBP, AC and WHR. Those from the regression model are sex(male), PP2, age and FBS. The combined risk factors can be identified using the MLP model. Those are total cholesterol and body weight, which is consistent with the result of other clinical studies. From this experiment we have learned that MLP can be applied to the combined risk factor analysis of biological data which can not be provided by the conventional statistical method.

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Offline Handwritten Numeral Recognition Using Multiple Features and SVM classifier

  • Kim, Gab-Soon;Park, Joong-Jo
    • 전기전자학회논문지
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    • 제19권4호
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    • pp.526-534
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    • 2015
  • In this paper, we studied the use of the foreground and background features and SVM classifier to improve the accuracy of offline handwritten numeral recognition. The foreground features are two directional features: directional gradient feature by Kirsch operators and directional stroke feature by local shrinking and expanding operations, and the background feature is concavity feature which is extracted from the convex hull of the numeral, where the concavity feature functions as complement to the directional features. During classification of the numeral, these three features are combined to obtain good discrimination power. The efficiency of our scheme is tested by recognition experiments on the handwritten numeral database CENPARMI, where SVM classifier with RBF kernel is used. The experimental results show the usefulness of our scheme and recognition rate of 99.10% is achieved.

Community Detection using Closeness Similarity based on Common Neighbor Node Clustering Entropy

  • Jiang, Wanchang;Zhang, Xiaoxi;Zhu, Weihua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2587-2605
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    • 2022
  • In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

광범위 수부 손상에서 서혜부 유경피판과 유리 포장주위피판을 이용한 단계적 무지 재건술 (Staged Reconstruction of the Mangled Hand with the Combined Use of Pedicled Groin Flap and Free Wrap Around Flap)

  • 노영학;정문상;백구현;이영호;공현식;이승환;이예현
    • Archives of Reconstructive Microsurgery
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    • 제18권2호
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    • pp.62-66
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    • 2009
  • Purpose: Despite the free tissue transfer using microsurgical technique being the current trend of soft tissue reconstruction of the hand, the pedicled groin flap has the advantage to provide coverage for the mangled hand without necessitating the use of a damaged arterial system and also providing the benefit of saving the arterial system for later free tissue transfer. This report presents the author's experience using pedicled groin flap in four cases of mangled hands with massive bone and soft tissue defects requiring later thumb reconstruction with the free wrap around flap. Materials and methods: The patients' age ranged from 30 to 51 years; three patients were male and one was female. The causes of mangled hand included two machinery crush injuries, one laboratory explosion and one motor vehicle accident. While evaluating the post-operative results, factors like flap survival, complications, stability in opposition, pinch power and 2 point discrimination were taken into account. Results: All massive soft tissue defects of the hands were completely covered with pedicled groin flap successfully. The reconstructed thumb using free wrap around flap did not have any limitation in opposition. There was no occurrence of post-operative infection and all the flaps survived completely. The average pinch power was 70% of the contralateral intact thumb and average 2 point discrimination was 10 mm. Conclusion: The pedicled groin flap for the reconstruction of the massive soft tissue defects of the hand with subsequent reconstruction of the thumb with a wrap around flap is a very useful procedure. The combined use of pedicled groin flap and wrap around flap allows adequate coverage of sizable soft tissue defects and functional thumb opposition in cases of reconstruction of the mangled hands.

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