• Title/Summary/Keyword: Quantitative Method

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Quantitative Analysis of PET Measurements in Tumors (종양학 분야에서 양전자방출촬영을 이용한 정량분석)

  • Choi, Chang-Woon
    • 대한핵의학회:학술대회논문집
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    • 2001.05a
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    • pp.60-65
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    • 2001
  • The positron emission tomography (PET) has been used for the evaluation of the characteristics of various tumors. The role of PET in oncology has been evolved from a pure research tool to a methodology of enormous clinical potential. The unique characteristics of PET imaging make sophisticated quantitation possible. Several quantitative methods, such as standardized uptake values (SUV), simplified quantitative method, Patlak graphical analysis, and Sokoloff's glucose metabolism measurement, have been used in the field of oncology. However, each quantitative method has limitations of its own. For example, the SUV has been used as a quantitative index of glucose metabolism for tumor classification and monitoring response to treatment, even though it depends on blood glucose level, body configuration of patient, and scanning time. The quantitative methods of PET are reviewed and strategy for implementing these methods are presented.

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Quantitative sudomotor axon reflex test (QSART) as a diagnostic tool of small fiber neuropathy

  • Suh, Bum Chun
    • Annals of Clinical Neurophysiology
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    • v.24 no.1
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    • pp.1-6
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    • 2022
  • Small fiber neuropathy is a painful neuropathy that cannot be assessed using nerve conduction studies. A skin biopsy and quantitative sensory testing (QST) are the gold standards for small fiber neuropathy diagnosis. However, a skin biopsy is invasive and commercially unavailable in Korea. QST is a method involving a thermal threshold, but its results can be affected by cognition as well as lesions of the central nervous system. Quantitative sudomotor axon reflex test (QSART) is a quantitative method of assessing sweat glands innervated by small fibers. In this review, we assessed the utility of QSART in evaluating small fiber neuropathy.

A Study on Quantitiative visualization of Vibration Mode Shape of Disk Brake by Using Stroboscopic ESPI (스트로보스코픽 전자 스페클 패턴 간섭법을 이용한 디스크 브레이크의 진동 모드의 정량적 가시화에 관한 연구)

  • 강영준
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.9
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    • pp.97-104
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    • 1999
  • Brake squeal noise has been a problem since the early days of motoring . It is important to obtain vibration mode shape for reduction of brake noise . Stroboscopic Electronic Speckle Pattern Interferometry is a very powerful measuring method for study of vibrating objects in static state compared with conventional methods because this method can give both resonance frequency and quantitative visualization of vibration mode shape at the same time. In this paper, we performed qualitative visualization and quantitative analysis of vibration mode shpae of disk brake by using stroboscopic ESPI and phase shifting method. The stroboscopic wavefronts are obtained by chopping continuous wave laser beam using acousto-optic modulator .Experiments were performed at the same constraint conditions as disk brake of the practical vehicle as far as possible. The experimental results of this paper show quantitative measurement of vibration mode shape and quantiative visualization of vibration amplitude of disk brake with 3D plotting.

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Isolation and Quantitative Determination of Patchouli alcohol from Pogostemon cablin Benth. (광곽향(Pogostemon cablin Benth.)으로부터 Patchouli alchol의 분리 및 함량분석)

  • Kim, Ju-Sun;Chi, Hyung-Joon;Won, Do-Hee;Kang, Sam-Sik
    • Korean Journal of Pharmacognosy
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    • v.29 no.1
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    • pp.18-21
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    • 1998
  • A method for isolation and quantitative determination of patchouli alcohol from Pogostemonis Herba (Pogostemon cablin) has been developed. Isolation of patchouli alcohol was achieved by column chromatography employing the normal-phase gradient separation system n-hexane-ether on silica gel column. The GC method for quantitative determination of patchouli alcohol provided a method for standardization of the raw drug. It suggested that the average content of patchouli alcohol in Pogostemonis Herba is about 0.26%.

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A Quantitative Linguistic Study for the Appreciation of the Lexical Richness (어휘 풍부성 평가에 대한 계량언어학적 연구 (프랑스어 텍스트를 중심으로))

  • Bae, Hee-Sook
    • Speech Sciences
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    • v.7 no.3
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    • pp.139-149
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    • 2000
  • Studying language by the quantitative linguistic method is not a recent development. Lately however, the interest in the quantitative linguistics has increased according to the demand on communication between human and human or between human and machine. We are required to transfer the system of the natural language onto machine. This requires the study of quantitative linguistics because we are unable to seize the characters of the tiny linguistic units and their structure in an intuitive way. In fact, the quantitative linguistics treats the internal structure of the language by the relation between the linguitic units and their quantitative characters. It is natural then that there is this growing interest in quantitative linguistics. In addition, Korean linguists take interest in the quantitative linguistics, although quantitative linguistics in Korea is not advanced by the level of the statistical analysis. Therefore, this present study shows how statistics can be applied in the field of linguistics through the two texts written in French: Lovers of the Subway and Our life's A. B. C.

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Real time automatic EEG report making based on quantitative interpretation of awake EEG

  • Nakamura, Masatoshi;Shibasaki, Hiroshi;Imajoh, Koaru;Ikeda, Akio;Mitsuyasu, Isao
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.503-508
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    • 1992
  • A new method for making automatic electroencephalogram(EEG) report based on the automatic quantitative interpretation of awake EEG was developed. We first analysed a. relationship between EEG reports and quantitative EEG interpretation done by a qualified electroencephalographer(EEGer) for 22 subjects. Based on the analysed relationship and usual process of report making by the EEGer, we defined all terminology necessary for EEG report and established rules for EEG report making. By the combined use of the proposed EEG report making and the method for automatic quantitative EEG interpretation presented at '90 KACC, we were able to make the automatic EEG reports which were equivalent to the EEG reports written by the EEGer. As all the procedures were programmed in a personal computer equipped with an AD (analogue-to-digital) converter, the automatic EEG reports were obtained in almost real time in usual actual EEG recording situation with only a few seconds time lag for the analysis in the computer. The proposed report making method and the quantitative EEG interpretation method will be effectively applicable to the clinical use as an assistant tool for physicians.

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Radar Quantitative Precipitation Estimation using Long Short-Term Memory Networks

  • Thi, Linh Dinh;Yoon, Seong-Sim;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.183-183
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    • 2020
  • Accurate quantitative precipitation estimation plays an important role in hydrological modelling and prediction. Instantaneous quantitative precipitation estimation (QPE) by utilizing the weather radar data is a great applicability for operational hydrology in a catchment. Previously, regression technique performed between reflectivity (Z) and rain intensity (R) is used commonly to obtain radar QPEs. A novel, recent approaching method which might be applied in hydrological area for QPE is Long Short-Term Memory (LSTM) Networks. LSTM networks is a development and evolution of Recurrent Neuron Networks (RNNs) method that overcomes the limited memory capacity of RNNs and allows learning of long-term input-output dependencies. The advantages of LSTM compare to RNN technique is proven by previous works. In this study, LSTM networks is used to estimate the quantitative precipitation from weather radar for an urban catchment in South Korea. Radar information and rain-gauge data are used to evaluate and verify the estimation. The estimation results figure out that LSTM approaching method shows the accuracy and outperformance compared to Z-R relationship method. This study gives us the high potential of LSTM and its applications in urban hydrology.

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Quantitative Analysis of ${\mu}$-CT about Neo-Bone Regeneration on Mouse Calvarial Defected Model (신생 뼈의 재생에 관한 마우스 두개골 결손모델 시 마이크로 시티의 정량적 분석법)

  • Jung, Hong-Moon
    • Korean Journal of Digital Imaging in Medicine
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    • v.15 no.1
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    • pp.33-38
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    • 2013
  • Bone is so crucial anatomy for human body. Many researchers study deep into a subject about bone regeneration. There is no standard analysis for quantitative Neo-bone regeneration on calvarial defected model. Micro CT is so useful method to quantitative analysis of Neo-bone regeneration. This study was show that how to quantitative analysis of Neo-bone regeneration with ${\mu}-CT$ Micro CT was possible to quantitative analysis for Neo-bone regeneration on Calvarial defected model. futhermore Not only was Micro CT possible for qualitative analysis but quantitative analysis on the mouse calvarial model. This study will provide bone biology researchers with accurate quantitative analysis.

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A Comparison Study on the methodology of the Husbands' Participation in the Household Work (남편의 가사노동 참여에 관한 방법론 비교 연구)

  • 조성은
    • Journal of Families and Better Life
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    • v.13 no.4
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    • pp.139-150
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    • 1995
  • This research is planned to compare a quantitative methodology and a qualitative methodology in the study of the household work. For these research tasks this study is centered on husbands' participation in the household work. First it is reviewed study precedent using a quantitative method and a qualitative method to compare a research methodology of the household work. It is selected a survey method of quantitative methodology and a depth interview of qualitative methodology, Second the data are collected through the questionnaire and the depth interview with three couples,. Third to compare a quantitative methodology and a qualitative methodology it is looked about problems in the concept the grouping the collection of data and the interpretation of household work.

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A New Variable Selection Method Based on Mutual Information Maximization by Replacing Collinear Variables for Nonlinear Quantitative Structure-Property Relationship Models

  • Ghasemi, Jahan B.;Zolfonoun, Ehsan
    • Bulletin of the Korean Chemical Society
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    • v.33 no.5
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    • pp.1527-1535
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    • 2012
  • Selection of the most informative molecular descriptors from the original data set is a key step for development of quantitative structure activity/property relationship models. Recently, mutual information (MI) has gained increasing attention in feature selection problems. This paper presents an effective mutual information-based feature selection approach, named mutual information maximization by replacing collinear variables (MIMRCV), for nonlinear quantitative structure-property relationship models. The proposed variable selection method was applied to three different QSPR datasets, soil degradation half-life of 47 organophosphorus pesticides, GC-MS retention times of 85 volatile organic compounds, and water-to-micellar cetyltrimethylammonium bromide partition coefficients of 62 organic compounds.The obtained results revealed that using MIMRCV as feature selection method improves the predictive quality of the developed models compared to conventional MI based variable selection algorithms.