• Title/Summary/Keyword: Quantitative methods

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Quantitative Analysis of Glycine Semen Nigra and Eucommiae Cortex for Standardization of GCSB-5 Preparation (생약복합제 GCSB-5의 품질 표준화를 위한 흑두 및 두충의 함량 분석)

  • Lee, Eun-Hee;Cha, Bae-Cheon
    • Korean Journal of Pharmacognosy
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    • v.40 no.1
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    • pp.18-24
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    • 2009
  • GCSB-5 preparation is a purified extract from a mixture six herbal medicines (Acanthopanacis Cortex, Achyranthis Radix, Saposhnikoviae Radix, Cibotii Rhizoma, Glycine Semen Nigra, Eucommiae Cortex) that have been widely used in traditional medicine to treat various bone disorders. This study was carried out to obtain the HPLC analysis method that can be used to establish quantitative analysis of Glycine Semen Nigra and Eucommiae Cortex for standardization of GCSB-5 preparation. HPLC analysis methods for the simultaneous determination of genistin (Glycine Semen Nigra) and geniposide (Eucommiae Cortex) were established for the quality control of herbal medicinal raw material and preparation. And validation of HPLC analysis methods were conformed for verification of HPLC methods by check to specificity, linearity, intra-day precision, inter-day precision and accuracy following ICH guideline. As the result of quantitative analysis, the contents of genistin and geniposide in the raw material of GCSB-5 preparation were 0.0426-0.0427 mg/g and 0.431-0.432 mg/g. And GCSB-5 preparation contained genistin of 0.0202-0.0203 mg/capsule and geniposide of 0.211-0.212 mg/capsule, respectively.

Digital Color Imaging Systems for Quantitative Evaluation of Skin Lesions (피부병변의 정량적 평가를 위한 디지털 컬러 영상 시스템)

  • Han, Byung-Kwan;Jung, Byung-Jo
    • Journal of Biomedical Engineering Research
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    • v.28 no.2
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    • pp.195-198
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    • 2007
  • In this paper, we introduce a digital cross-polarization and fluorescent color imaging system for quantitative evaluation of skin lesions. We describe the characterization of the imaging systems and the quantitative image analysis methods to show the feasibility for quantitative evaluation of skin lesions. The polarization color image was used to compute erythema and melanin index image which are useful for quantitative evaluation of pigmentation and vascular skin lesions, respectively. The fluorescent color image was used to quantitatively evaluate "sebum" and "vitiligo". In quantitative evaluation of various skin lesions, we confirmed the clinical efficacy of the imaging systems for dermatological applications. Finally, we sure that the imaging systems can be utilized as important assistant tools for the evaluation of skin lesions by providing reproducible quantitative result for widely distributed skin lesions.

A Mechanism for Combining Quantitative and Qualitative Reasoning (정량 추론과 정성 추론의 통합 메카니즘 : 주가예측의 적용)

  • Kim, Myoung-Jong
    • Knowledge Management Research
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    • v.10 no.2
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    • pp.35-48
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    • 2009
  • The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

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Immunochemical Determination of Plant Constituents (1990년 제23회 학술발표회 논문초록)

  • 성철기
    • Journal of the Korean Society of Tobacco Science
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    • v.12 no.1
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    • pp.29-38
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    • 1990
  • Until relatively recently plant scientists have made little use of immunological techniques. Now, however, more and more researchers are discovering the powder of these techniques for the screening of immunomodulators and for the detection, quantitative determination and localization of compounds in plant materials. Especially, the recent developments in the fields of plant biotechnology and plant genetic engineering make it even more important for forkers in the plant sciences to become acquainted with the more sophisticated methods. The possible methods include onestep purification of antigens, visualization in situ by immunocytochemis try and on polyacrylam ids gel s by ni trocellulose Western blotting and quantification by various immunoassay. Among them, in this reviews, the quantitative determination methods are to be reviewed. There are several kinds of methods for the quantitative determination of plant constituents such as colorimetry, TLC, GLC, DCC, UV derivatization, densitometry and HPLC. When the complexity of plant constituents is considered. densitometry and HPLC have many advantages in sensitivity and separation ability. After a 11 some advarltages of two methods meritiorled above, all of these methods have many disadvantages and inconveniences. Previous purification for the application of all these methods make them less sensitive and more tedious. Immunoassay can solve these problems in part. But immunoassay also has some limitations. Specificity of immunoassay, contrary, can be considered to be disadvantages. Including this the advantages and disadvantages of immunoassay are to be discussed.

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A Study on the Relationships between Human Dimensions and Interior Space Focus on Residential Space (건축의 내부공간과 인체치수와의 상관성 분석 연구-주거공간을 중심으로-)

  • 최상헌
    • Korean Institute of Interior Design Journal
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    • no.1
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    • pp.67-71
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    • 1992
  • This study analyse the quantitative relationships between the compositive factors of the residential interior space in the view point of physical aspects. The proposed analytical methods are focused on finding the quantitative relationships between the human dimensions of the static and dynamic life style situations and the compositive factors of the architectural interior spaces. As a result, the major analystical methods are ; the analysis of Space-human Body System for finding the quantitative relationships between the human dimensions and the order of architectural structures ; the analysis of Space-Objects-Human Body System for finding the quantitiative relationships between the human dimensions and furniture dimensions of the interior space ; the analysis of Space-Objects - Life Activities of Human Body System for finding the quantitative relation ships between the human dimensions of daily or non daily life activities including static furniture systems.

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Application of Statistical Methods in Quantitative Linguistics Study

  • Choi, Kyung-Ho;Hwang, Yong-Joo
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.269-278
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    • 2007
  • Nowadays, from the study of quantitative linguistics, the application of quantitative method is located in a variety of fields as a necessary method. According to this phenomenon, the knowledge of statistical method is requisite for linguists. However, unfortunately, there still remain difficulties for them to acquire the statistical knowledge. So, it is needed for linguists to be helped by statisticians and their active roles. Accordingly, this study is going to emphasizing that statisticians should have more interests in the field of quantitative linguistics. Moreover, it will prove that by using statistical methods, analysis on the linguistic research becomes more objective and scientific.

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Performance of Taiwanese Domestic Equity Funds during Quantitative Easing

  • Tan, Omer Faruk
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.4
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    • pp.5-11
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    • 2015
  • This study is the first to analyze performance of Taiwanese domestic equity funds between January 2009 and October 2014, the period during which quantitative redirected capital flows toward developing economies and the Taiwanese Stock Exchange Weighted Index compounded at approximately 12.9% annually. Adopting methods endorsed by earlier research, we evaluated 15 Taiwanese equity funds' performance relative to market averages using the Sharpe (1966) and Treynor (1965) ratios and Jensen's alpha method (1968). To test market timing proficiency, we applied the Treynor and Mazuy (1966) and Henriksson and Merton (1981) regression analysis methods. Jensen's alpha method (1968) was used to measure fund managers' stock selection skills. Results revealed that funds significantly under-performed Taiwan's average annual market return and demonstrated no exceptional stock-selection skills and market timing proficiency during the era of quantitative easing.

The Studies on Urobilinogen Determination (Urobilinogen 측정에 관한 연구)

  • 조영주
    • Journal of Environmental Health Sciences
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    • v.7 no.1
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    • pp.59-62
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    • 1981
  • We have performed 324 specimens' urobilinogen determinations(Healthy normal 219 & out-or in-patients 105) for the purposs of defining accurate & precise methods in semi-quantitative techniques. As shown on Table 1 through 5 & Fig.1 to 3, normal person's titer is concentrated in 1:40, 1:80, 1:20 & 1:10 respectively and majority of patients' titer is 160. The concentration diagram on Fig. 2 is seen for the normal person and patient's titer is nearly normal distribution scattered from 0.475mg/dl of median throughout the whole area (0.225-0.625). From Fig. 5 I have found that semi-quantitative titer is much different from the true value by electrical measurements. I am proposing of taking photoelectric quantitative methods for semiquantitative methods.

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A case study to Regression Analysis using Artificial Neural Network (인공신경망을 이용한 회귀분석 사례 조사)

  • Kim, Jie-Hyun;Ree, Sang-Bok
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2010.04a
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    • pp.402-408
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    • 2010
  • Forecasting have qualitative and quantitative methods. Quantitative one analyze macro-economic factors such as the rate of exchange, oil price, interest rate and also predict the micro-economic factors such as sales and demands. Applying various statistical methods depends on the type of data. when data has seasonality and trend, Time Series analysis is proper but when it has casual relation, Regression analysis is good for this. Time Series and Regression can be used together. This study investigate artificial neural networks which is predictive technique for casual relation and try to compare the accuracy of forecasting between regression analysis and artificial neural network.

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Easy and Quick Survey Method to Estimate Quantitative Characteristics in the Thin Forests

  • Mirzaei, Mehrdad;Bonyad, Amir Eslam;Bijarpas, Mahboobeh Mohebi;Golmohamadi, Fatemeh
    • Journal of Forest and Environmental Science
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    • v.31 no.2
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    • pp.73-77
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    • 2015
  • Acquiring accurate quantitative and qualitative information is necessary for the technical and scientific management of forest stands. In this study, stratification and systematic random sampling methods were used to estimation of quantitative characteristics in study area. The estimator ($((E%)^2xT)$) was used to compare the systematic random and stratified sampling methods. 100 percent inventory was carried out in an area of 400 hectares; characteristics as: tree density, crown cover (canopy), and basal area were measured. Tree density of stands was compared through systemic random and stratified sampling methods. Findings of the study reveal that stratified sampling method gives a better representation of estimates than systematic random sampling.