• Title/Summary/Keyword: quantitative method

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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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Quantitative NMR Analysis of PTMEG compounds

  • Kim, Gilhoon;Won, Hoshik
    • Journal of the Korean Magnetic Resonance Society
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    • v.20 no.1
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    • pp.7-12
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    • 2016
  • PTMEG(Polytetramethylene ether glycol) is a polymer compound widely used as a wide range of applications in the textile industry. PTMEG substance carrying various 1,800~2,000 molecular weight are mainly used as the raw material of the spandex production. Molecular weight and degree of polymerization value for 4 different PTMEG samples under pilot plant scale synthetic process were determined by a new quantitative NMR method. In NMR experiments, p-toluenesulfonic acid(TSOH) was used for external standard material of PTMEG quantitative analysis. were measuring The concentration of the primary standard TSOH was measured by UV/Vis spectroscopy. By using NMR peak assignments and the integral values of designated proton NMR peaks, We were able to measure the % composition of the synthetic PTMEG polymers, concentrations, molecular weight and the degree of polymerization that show the synthetic process of each manufacturing pilot plant. By utilizing a newly developed quantitative NMR method were able to obtain the molecular weight of PTMEG samples within 0.08 error % range.

Use of Quantitative CT to Predict Postoperative Lung Function (Comparison of Quantitative CT and Perfusion Lung Scan) (폐절제술후의 폐기능 예측에 대한 나선식 정량적 CT의 유용성 (나선식 정량적 CT와 폐관류스캔과의 비교))

  • 이조한
    • Journal of Chest Surgery
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    • v.33 no.10
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    • pp.798-805
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    • 2000
  • Background : the prediction on changes in the lung function after lung surgery would be an important indicator in terms of the operability and postoperative complications. In order to predict the postoperative FEV1 - the commonly used method for measuring changes in lung function- a comparison between the quantitative CT and the perfusion lung scan was made and proved its usefulness. Material and Method : The subjects included 22 patients who received perfusion lung scan and quantitative CT preoperatively and with whom the follow-up of PFT were possibles out of the pool of patients who underwent right lobectomy or right pneumonectomy between June of 1997 and December of 1999. The FEV1 and FVC were calibrated by performing the PFT on each patient and then the predicted FEV1 and FVC were calculated after performing perfusion lung scan and quantitative CT postoperatively. The FEV1 and FVC were calibrated by performing the PFT after 1 week and after 3 momths following the surgery. Results : There was a significant mutual scan and the actual postoperative FEV1 and FVC at 1 week and 3 months. The predicted FEV1 and FVC(pneumonectomy group : r=0.962 and r=0.938 lobectomy group ; r=0.921 and r=913) using quantitative CT at 1 week postoperatively showed a higher mutual relationship than that predicted by perfusion lung scan(pneumonectomy group : r=0.927 and r=0.890 lobectomy group : r=0.910 and r=0.905) The result was likewise at 3 months postoperatively(CT -pneumonectomy group : r=0.799 and r=0.882 lobectomy group : r=0.934 and r=0.932) Conclusion ; In comparison to perfusion lung scan quantitative CT is more accurate in predicting lung function postoperatively and is cost-effective as well. Therefore it can be concluded that the quantitative CT is an effective method of replacing the perfusion lung scan in predicting lung function post-operatively. However it is noted that further comparative analysis using more data and follow-up studies of the patients is required.

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Quantitative Application of TM Data in Shallow Geological Structure Reconstruction

  • Yang, Liu;Liqun, Zou;Mingxin, Liu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1313-1315
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    • 2003
  • This paper is dedicated to studying the quantitative analysis method with remote-sensing data in shallow geological structure reconstruction by the example of TM data in western China. A new method of computing attitude of geological contacts from remote-sensing data is developed and assessed. We generate several geological profiles with remotely derived measurements to constrain the shallow geological structure reconstruction in three dimensions.

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A Comparative Study of Endotracheal Aspirates and Protected Specimen Brush in the Quantitative Cultures of the Ventilator-Associated Pneumonia (기계호흡기 관련 폐렴환자의 정량적 배양에 있어서 Endotracheal Aspirates과 Protected Specimen Brush의 비교 관찰)

  • Roo, Kyoung-Ryeol;Kim, Min-Gu;Kim, Gi-Yang;Jung, Ho-Gyeong;Park, Young-Ho;Kang, Byeng-Sun;Kim, Ho-Chul;Hwang, Young-Sil
    • Tuberculosis and Respiratory Diseases
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    • v.42 no.5
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    • pp.737-743
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    • 1995
  • Background: Pneumonia is a frequent complication in patients undergoing mechanical ventilation, Quantitative culture of protected specimen brush(PSB) have shown satisfactory diagnostic accuracy for the diagnosis of ventilator-associated pneumonia. However PSB method is invasive, expensive, and require a bronchoscopic procedure. But endotracheal aspiration(EA) is simple and less expensive. The purpose of our study was to investigate the diagnosic value of EA quantitative cultures. Method: We studied 15 cases of ventilator-associated pneumonia(for >72h of mechanical ventilation) patients. Patients were divided into two diagnostic categories. Group I was the patients who were suspicious of clinical pneumonia, Group II was the patients for control. The obtained samples by EA and PSB were homogenized for quantitative culture with a calibrated loop method in all patients. Result: Using $10^3cfu/ml$, $10^5cfu/ml$ as threshold in quantitative culture of PSB, EA respectively, we found that EA quantitative cultures represented a relatively sentive(70%) and relatively specific (60%) method to diagnose the ventilator-associated pneumonia. Conclusion: Although EA quantitative cultures are less specific than PSB for diagnosing ventilator-associated pneumonia. EA quantitative cultures correlated with PSB quantitative culture in patients with clinical pneumonia and may be used to treat these patients when bronchoscopic procedures are not available.

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A Study of Mineral Quantification on Clay-Rich Rocks (점토질 암석의 광물정량 분석법 연구)

  • Byeong-Kook, Son;Gi-O, An
    • Korean Journal of Mineralogy and Petrology
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    • v.35 no.4
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    • pp.431-445
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    • 2022
  • A quantitative phase analysis method of X-ray powder diffraction was studied to determine the mineral content of clay-rich rocks practically as well as effectively. For quantitative X-ray powder diffraction analysis of the clay-rich rocks, it is necessary to prepare whole-rock powder samples with a random orientation by side mounting method. In addition, for the identification of the clay minerals in the rock, it is required to prepare an oriented mount specimen with a clay particle size of 2 ㎛ or less, ethylene glycol treatment, and heat treatment. RIR (reference intensity ratio) and Rietveld method were used for the quantitative analysis of the clay-rich rocks. It was possible to obtain the total clay and the non-clay minerals contents from the whole-rock X-ray diffraction profiles using the RIR values. In addition, it was possible to calculate the relative content of each clay mineral from the oriented X-ray diffraction profiles of the clay particle size and assign it to the total clay. In the Rietveld method of whole-rock X-ray diffraction, effective quantitative values were obtained from the Rietveld diffraction patterns excluded the region of less than 10 degrees (2θ). Similar quantitative values were shown in not only the RIR but the Rietveld methods. Therefore, the analysis results indicate a possibility of a routine quantitative analysis of clay-rich rocks in the laboratory. However, quantitative analysis of clay minerals is still a challenge because there are numerous varieties of clay minerals with different chemical and structural characteristics.

Efficient Quantitative Association Rules with Parallel Processing (병렬처리를 이용한 효율적인 수량 연관규칙)

  • Lee, Hye-Jung;Hong, Min;Park, Doo-Soon
    • Journal of Korea Multimedia Society
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    • v.10 no.8
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    • pp.945-957
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    • 2007
  • Quantitative association rules apply a binary association to the data which have the relatively strong quantitative attributions in a large database system. When a domain range of quantitative data which involve the significant meanings for the association is too broad, a domain requires to be divided into a proper interval which satisfies the minimum support for the generation of large interval items. The reliability of formulated rules is enormously influenced by the generation of large interval items. Therefore, this paper proposes a new method to efficiently generate the large interval items. The proposed method does not lose any meaningful intervals compared to other existing methods, provides the accurate large interval items which are close to the minimum support, and minimizes the loss of characteristics of data. In addition, since our method merges data where the frequency of data is high enough, it provides the fast run time compared with other methods for the broad quantitative domain. To verify the superiority of proposed method, the real national census data are used for the performance analysis and a Clunix HPC system is used for the parallel processing.

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Relative Quantification of Glycans by Metabolic Isotope Labeling with Isotope Glucose in Aspergillus niger

  • Choi, Soo-Hyun;Cho, Ye-Eun;Kim, Do-Hyun;Kim, Jin-il;Yun, Jihee;Jo, Jae-Yoon;Lim, Jae-Min
    • Mass Spectrometry Letters
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    • v.13 no.4
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    • pp.139-145
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    • 2022
  • Protein glycosylation is a common post-translational modification by non-template-based biosynthesis. In fungal biotechnology, which has great applications in pharmaceuticals and industries, the importance of research on fungal glycoproteins and glycans is accelerating. In particular, the importance of quantitative analysis of fungal glycans is emerging in research on the production of filamentous fungal proteins by genetic modification. Reliable mass spectrometry-based techniques for quantitative glycomics have evolved into chemical, enzymatic, and metabolic stable isotope labeling methods. In this study, we intend to expand quantitative glycomics by metabolic isotope labeling of glycans in Aspergillus niger, a filamentous fungus model, by the MILPIG method. We demonstrate that incubation of filamentous fungi in a culture medium with carbon-13 labeled glucose (1-13C1) efficiently incorporates carbon-13 into N-linked glycans. In addition, for quantitative validation of this method, light and heavy glycans are mixed 1:1 to show the performance of quantitative analysis of various N-linked glycans simultaneously. We have successfully quantified fungal glycans by MILPIG and expect it to be widely applicable to glycan expression levels under various biological conditions in fungi.

Direct and Quantitative Analysis of Salmonella enterica Serovar Typhimurium Using Real-Time PCR from Artificially Contaminated Chicken Meat

  • Park, Hee-Jin;Kim, Hyun-Joong;Park, Si-Hong;Shin, Eun-Gyeong;Kim, Jae-Hwan;Kim, Hae-Yeong
    • Journal of Microbiology and Biotechnology
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    • v.18 no.8
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    • pp.1453-1458
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    • 2008
  • For quantitative PCR assay of Salmonella enterica serovar Typhimurium in food samples, a real-time PCR method was developed, based on DNA genome equivalent. Specific primers and probe designed based on the STM4497 gene of S. Typhimurium LT2 showed the specificity to S. Typhimurium. Threshold cycle (Ct) values of real-time PCR were obtained from a quantitative standard curve with genomic DNA of Salmonella Typhimurium. In addition, the recovery of S. Typhimurium inoculated artificially to chicken samples with $4.5{\times}10^5$ to 4.5 CFU/ml was evaluated by using real-time PCR and plate-count methods. Result showed that the number of cells calculated from the real-time PCR method had good correlation with that of the plate-count method. This real-time PCR method could be applicable to the detection and quantification of S. Typhimurium in food samples.

Quantitative Analysis of Bioactive Marker Compounds from Cinnamomi Ramulus and Cinnamomi Cortex by HPLC-UV

  • Jeong, Su Yang;Zhao, Bing Tian;Moon, Dong Cheul;Kang, Jong Seong;Lee, Je Hyun;Min, Byung Sun;Son, Jong Keun;Woo, Mi Hee
    • Natural Product Sciences
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    • v.19 no.1
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    • pp.28-35
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    • 2013
  • In this study, quantitative and pattern recognition analysis for the quality evaluation of Cinnamomi Ramulus and Cinnamomi Cortex using HPLC/UV was developed. For quantitative analysis, three major bioactive compounds were determined. The separation conditions employed for HPLC/UV were optimized using an ODS $C_{18}$ column ($250{\times}4.6$ mm, 5 ${\mu}m$) with gradient conditions of acetonitrile and water as the mobile phase, at a flow rate of 1.0 mL/min and a detection wavelength of 265 nm. This method was fully validated with respect to linearity, accuracy, precision, recovery, and robustness. The HPLC/UV method was applied successfully to the quantification of three major compounds in the extract of Cinnamomi Ramulus and Cinnamomi Cortex. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of thirty eight Cinnamomi Ramulus and thirty five Cinnamomi Cortex samples. The results indicate that the established HPLC/UV method is suitable for quantitative analysis.