• Title/Summary/Keyword: Non-extraction

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Accurate parameter extraction method for FD-SOI MOSFETs RF small-signal model including non-quasi-static effects (NQS효과를 고려한 FD-SOI MOSFET의 고주파 소신호 모델변수 추출방법)

  • Kim, Gue-Chol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.10
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    • pp.1910-1915
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    • 2007
  • An accurate and simple method to extract equivalent circuit parameters of fully-depleted silicon-on-insulator MOSFETs small-signal modeling operating at RF frequencies including the non-quasi static effects is presented in this article. The advantage of this method is that a unique and physically meaningful set of intrinsic equivalent circuit parameters is extracted by de-embedding procedure of extrinsic elements such as parasitic capacitances and resistances of MOSFETs from measured S-parameters using simple Z- and Y- matrices calculations. The calculated small-signal parameters using the presented extraction method give modeled Y-parameters which are in good agreement with the measured Y-parameters from 0.5 to 20GHz.

Extraction of β-glucosidase from Bagasse Fermented by Mixed Culture under Solid State Fermentation

  • Shata, Hoda Mohamed Abdel Halim;Farid, Mohamed Abdel Fattah
    • Journal of Applied Biological Chemistry
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    • v.57 no.3
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    • pp.197-203
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    • 2014
  • Various parameters such as solvent selection, concentration, solid/liquid ratio, soaking time, temperature, stationary, shaking conditions, and repeated extractions were investigated in order to determine the optimum extraction conditions of ${\beta}$-glucosidase from bagasse fermented by mixed culture of Aspergillus niger NRC 7A and Aspergillus oryzae NRRL 447. Among various solvents tested, non ionic detergents gave the best results than the inorganic or organic salt solutions and distilled water. The optimum conditions for extraction of ${\beta}$-glucosidase were 30 min soaking time at $40^{\circ}C$ under shaking condition at 150 rpm, with solid/liquid ratio 1:15 (w/v), which yielded $2882.74{\pm}95.52U/g$ fermented culture (g fc) of enzyme activity. With repeated washes under the above optimum conditions, the results showed that enzyme extracted in the $1^{st}$ and $2^{nd}$ washes represents about 90% of the total activity.

Skin Irritation of Natural Dyes Extracted from Onion (Allium cepa) (양파로부터 추출한 천연염료의 피부자극성 시험)

  • 배순이;오태광;박승춘
    • Toxicological Research
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    • v.13 no.1_2
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    • pp.161-165
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    • 1997
  • This study was conducted to investigate the skin irritation by transdermal administration of the three dyes. These dyes were originated from onion by using extraction method. By the order of extraction from onion, A-dye was obtained from onion by using water at 90-100$\circ$C. B-dye was extracted from A-dye with ethylacetate. After ethylacetate extraction from A-dye, the lower layer named as C-dye. Twenty-four New Zealand white rabbits were divided into three groups. The each groups was consisted of two subgroups according to high dose (extracted dyes) and low dose (the 100-fold dilutions of A-, Band C-dye). In primary skin irritation test of male New Zealand White rabbits, body temperature and weights were not significantly changed and blood cells were positioned in normal blood cell ranges of health rabbits. Primary irritation index was "0" in the test and control sites of all animals used in this study. By the results obtained in the present test, all dyes were evaluated as a non-irritant on the basis of the criteria of Draize.of Draize.

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A Study on the Extraction of Feature Variables for the Pattern Recognition of Welding Flaws (용접결함의 형상인식을 위한 특징변수 추출에 관한 연구)

  • Kim, Jae-Yeol;Roh, Byung-Ok;You, Sin;Kim, Chang-Hyun;Ko, Myung-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.103-111
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    • 2002
  • In this study, the natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.

디젤오염토양복원을 위한 고온공기 주입/추출 공정의 토양 파일 공법에의 적용 연구

  • 박민호;박기호;홍승모;고석오
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.09a
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    • pp.63-67
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    • 2004
  • A field pilot study on remediation of diesel-contaminated soil by hot air injection/extraction process constructing soil piling system was conducted to evaluate the effects of hot air on the removal of diesel and each constituent. After the heating process of 2 months, the equilibrium temperature of soil reached to 10$0^{\circ}C$ and soil TPH concentration was reduced to about 72% against the initial concentration. Additional extraction process of 2 months induced the continuous extraction of residual diesel and the increment of microbial activity, which made soil TPH concentration reduced to 95%. In addition biological removal of non volatile constituents in diesel was verified indirectly and the removal pattern of each DRO(diesel range organic) as soil temperature was explained.

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Comparative Evaluation of Infection Rate according to Extraction of Teeth in the Line of Mandibular Angle Fractures Treated with Stable Internal Fixation (안정된 내고정이 시행된 하악각 골절에서 골절선상의 치아 발거에 따른 감염률 비교평가)

  • Kim, Jin-Ha;Kim, Su-Gwan;Moon, Seong-Yong;Oh, Ji-Su
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.33 no.1
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    • pp.32-35
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    • 2011
  • Purpose: Mandibular angle fractures constitute approximately 30% of mandibular fractures, and the mandibular third molar is usually in line with the fracture. This study evaluated the relationship between the extraction of a tooth in line with a mandibular angle fracture and the infection rate. Methods: One hundred and forty seven patients with mandibular angle fractures containing a tooth in line with the fracture from 2005 to 2008 were enrolled in this study. The patients were divided into two groups based on an extraction, and the infection rates were evaluated in both groups. Results: An extraction was performed in 70 patients (47.6%) and postoperative infections occurred in 14 patients (9.5%). Six (8.6%) of the 70 patients in the extraction group and 8 (10.4%) of the 77 patients in the non-extraction group had an infection. There was no significant difference between the two groups (P=0.708). Conclusion: These results show that there is no increased risk of postoperative complications when a tooth is present

Effect of extraction conditions on the stability and safety of sericin

  • Ji Hae, Lee;Hyun-Bok, Kim;HaeYong, Kweon
    • International Journal of Industrial Entomology and Biomaterials
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    • v.45 no.2
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    • pp.93-98
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    • 2022
  • To assess the feasibility of silk sericin for non-textile application, the storage stability and biological safety of sericin were examined. It was extracted at 37℃, 70℃, 100℃, and 121℃ for 1, 3, and 5 h to elucidate the effect of extraction condition on the stability and safety of silk sericin. The solubility was increased till approximately 26% with extraction temperature of 121℃ for 1 h. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) showed that the molecular weight distribution depended on the extraction conditions. Extracted sericin displayed typical UV absorption bands upon spectrometric analysis. To examine the reproducibility of its obtained conformation, sericin was extracted thrice and its circular dichroism (CD) spectra was measured each time. Most CD spectra showed reproducibility regardless of temperature and time except under 100℃ extraction condition. The diversity of CD spectrum showed gradual reduction and was finally coincident with extraction time from 1 to 5 h. Notably, sericin has a negative peak of approximately 200 nm attributed to random coil conformation, regardless of extraction condition. However, at the 100℃ extraction condition, sericin showed both bands to be negative bands of approximately 200 and 220 nm, respectively. Sericin was centrifuged to determine the stability of storage conditions. The sericin extracted at 100℃ and 121℃ for 1 h was found to form gel rapidly within 1 h, but at 121℃ condition, the gel fraction was approximately 20% within 1 h which retained its phase regardless of storage time. The gel fraction of sericin extracted at 100℃ for 5 h increased with time, however at the 121℃ for 5 h condition, the gel fraction was measured to be less than 10% regardless of increase in storage time. PetriflimTM AC plates test showed that sericin was safe from aerobic bacteria activity by extraction under high temperature.

Automatic Extraction of References for Research Reports using Deep Learning Language Model (딥러닝 언어 모델을 이용한 연구보고서의 참고문헌 자동추출 연구)

  • Yukyung Han;Wonsuk Choi;Minchul Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.115-135
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    • 2023
  • The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.

Changes in Non-saponin Fatty Acid Content and Increases in Inhibitory Activities of Collagenase and Elastase by Treatment with Saccharomyces cerevisiae of the Supercritical Fluid Extracted Oil of the Adventitious Roots Culture of Wild Mountain Ginseng (초임계 유체로 추출된 산삼 부정 배양근 오일의 효모균 처리에 의한 비사포닌계 지방산 함량 변화 및 Collagenase 및 Elastase 저해 활성 증대)

  • Kim, Chul Joong;Shim, Jae Kwon;Kwon, Kyung Cheol;Lim, Jung Dae;Choi, Seon Kang;Yu, Chang Yeon;Lee, Jae Geun
    • Korean Journal of Medicinal Crop Science
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    • v.26 no.2
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    • pp.170-180
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    • 2018
  • Background: To obtain useful cosmetic resources, this study aimed to determine the non-saponin fatty acid and inhibitory activities of collagenase and elastase by treatment of Saccharomyces cerevisiae in supercritical fluid extracted oil of the adventitious root culture of wild mountain ginseng. Methods and Results: We performed supercritical fluid extraction at various conditions such as pressure, temperature, time, and use of co-solvents, unlike the n-hexane extraction for the adventitious roots culture of wild mountain ginseng. The non-saponin-fatty acid obtained from the oil of the adventitious roots culture was incresed by treatment with S. cerevisiae. The supercritical fluid extraction was conducted using gas chromatography. Non-saponin-fatty acid content, in the oil of adventitious roots culture of wild mountain ginseng treated with S. cerevisiae for 2 days were three times higher than that in the control. In addition, the oil of the adventitious roots culture treated with S. cerevisiae was investigated for the anti-wrinkle effect by using collagenase and elastase. The oil of adventitious roots culture treated with S. cerevisiae exhibited higher collagenase and elastase inhibitory activities than those in the control. Conclusions: Supercritical fluid extracted oil of the adventitious roots culture of wild mountain ginseng treated with S. cerevisiae was found to have decreased ratio of saturated fatty acids and incresed ratio and content of unsaturated fatty acids increased. Furthermore, it showed anti-wrinkle effects in vitro.

Effects of Extraction Time, Temperature and Amount of Added Water on Beef Extracts by Hot Water (추출시간, 추출온도 및 가수율이 쇠고기의 열수추출물에 미치는 영향)

  • Yoo, Ick-Jong;Kim, Kyung-Hwan;Kim, Young-Eon;Park, Woo-Mun
    • Korean Journal of Food Science and Technology
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    • v.22 no.7
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    • pp.858-864
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    • 1990
  • In an attempt to establish efficient extraction conditions of beef extract by hot water extraction, effects of extraction time, temperature and amount of added water were investigated. Beef extract was prepared with three different extraction conditions and quality parameters for optimization of extraction condition were content of total nitrogen, non protein nitrogen and collagen in terms of extractability. As a result, in order to produce beef extract from beef by hot water extraction, it was efficient to extract at $97^{\circ}C$ for 75 minutes with the addition of 2.5 times water. Proper extraction condition under pressure was at $125^{\circ}C$ for 30 minutes with the addition of 2 times water.

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