• Biotechnology and Bioprocess Engineering:BBE
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• v.9 no.6
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• pp.447-453
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• 2004

Optimal conditions for the supercritical carbon dioxide $(scCO_{2})$ extraction of glycyr­rhizin from licorice (Glycyrrhiza glabra) were investigated, with an emphasis on the types and levels of modifiers. The morphology of the licorice tissue remaining after the $scCO_{2} $ extraction of glycyrrhizin was examined by scanning electron microscopy, coupled with measurements of ab­solute density. Conventional organic solvent extraction was also carried out for purpose of quantitative comparison. At 50 MPa and $60^{circ}C$ glycyrrhizin could not be extracted with pure $scCO_{2}$, while a considerable amount of glycyrrhizin was extracted when water was added to $scCO_{2}$ as a modifier. The highest recovery was found to be about $97\%$ when $70\%$ aqueous methanol was added to $scCO_{2}$ at a concentration of $15\%$. The optimal pressure and temperature for the supercritical fluid extraction of glycyrrhizin were observed to be 30 M Pa and $60^{circ}C$, respectively. Under these conditions, the percentage recovery of glycyrrhizin attained a maximum value of 102.67\pm$ $1.13\%$ within 60 min. Furthermore, in the case of $scCO_{2}$ modified with $70\%$ aqueous methanol, the licorice tissue obtained after extraction was found to be severely de­graded by excessive swelling, and the absolute density of the licorice residues was observed to be the highest.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.7 no.3
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• pp.349-358
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• 1997

meta-Nitroaniline(mNA) crystals were grown from the supercooled melt for the first time. A seed was introduced into the purified mNA melt of 100 ml 0.1 K above the melting temperature ($T_m$ : $112.0^{\circ}C$) and crystal was grown at constant supercooling of 0.1 K. The melt was stirred . mechanically and the crystal was also rotated while the growth proceeds. mNA crystals of size up to $20{\times}15{\times}15 \textrm {mm}^3 and of very high perfection could be grown for the period of one day. The bottom half of the crystal faces are well-faceted and covered by {111} and {021} faces, while the faces of the top half are not well defined. The overall crystal morphology was characterized by the unidirectional growth along one of the polar axes. The absolute direction of preferred growth was determined to be [001] by the pyroelectric measurements. The perfection of the crystal was characterized by synchrotron X-ray topography and optical characterization was made by measuring second harmonic conversion efficiency.

• Journal of Korean Medical Ki-Gong Academy
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• v.15 no.1
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• pp.44-60
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• 2015

Objective : The purpose of this study is to investigate the effect of Su-Gi therapy for Bell's palsy by using DITI. Methods : We investigated 16 patients with Bell's palsy who had visited in the H Korean medicine hospital in Gyeonggi Province from December 27th, 2010 to April 8th, 2015. The Su-Gi therapy was done by 1 times daily. We evaluated the change of them by using Digital Infrared Thermographic Imaging and Yanagihara's unweighted grading system. Results : There aren't meaningful differences in values for the meridian points in pretest and posttest which were observed by DITI of abnormal side and normal side. There are meaningful differences in values, for abnormal side and normal side of the meridian points in pretest and posttest of DITI. It was of significance that pretest Y and average ΔT of each the meridian points in the type of hyperthermia but not in the type of hypothermia. In the Correlation analysis of values of pretest and posttest, chaotic aspects of body heat distribution in the pretest change as a relatively consistent aspects in the posttest. It wasn't of significance that Correlation Analysis of Ups and downs in temperature of TE17 and Recovery speed observed by ΔY. In simple regression analysis of posttest's Y-system values against absolute ΔT by subtracting ΔTE17 from ΔST6, we didn't predict in the pretest, but could predict significantly in the posttest(Regression coefficient : -2.11) In the regression analysis result of the meridian points' ||pretest ΔT|-|posttest ΔT||, 陽白(GB14) and 頰車(ST6) are of significance (Total R-Square=0.447). But we couldn't obtain final regression analysis model. Conclusions: These results suggest that Su-Gi therapy may be effective for Bell's palsy.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.9
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• pp.4623-4626
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• 2012

Background: The risk of treatment-related death (TRD) and febrile neutropaenia (FN) with adjuvant taxane-based chemotherapy for early breast cancer is unknown in Malaysia despite its widespread usage in recent years. This study aims to determine these rates in patients treated in University Malaya Medical Centre (UMMC). Patients and Methods: Patients who were treated with adjuvant taxane-based chemotherapy for early breast cancer stages I, II or III from 2007-2011 in UMMC were identified from our UMMC Breast Cancer Registry. The TRD and FN rates were then determined retrospectively from medical records. TRD was defined as death occurring during or within 30 days of completing chemotherapy as a consequence of the chemotherapy treatment. FN was defined as an oral temperature > $38.5^{\circ}C$ or two consecutive readings of > $38.0^{\circ}C$ for 2 hours and an absolute neutrophil count < $0.5{\times}10^9/L$, or expected to fall below $0.5{\times}10^9/L$. Results: A total of 622 patients received adjuvant chemotherapy during this period. Of these patients 209 (33.6%) received taxane-based chemotherapy. 4 taxane-based regimens were used namely the FEC-D, TC, TAC and AC-PCX regimens. The commonest regimen employed was the FEC-D regimen accounting for 79.9% of the patients. The FN rate was 10% and there was no TRD. Conclusion: Adjuvant taxane-based chemotherapy in UMMC for early breast cancer has a FN rate of 10%. Primary prophylactic G-CSF should be considered for patients with any additional risk factor for FN.

• Journal of Astronomy and Space Sciences
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• v.36 no.4
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• pp.265-281
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• 2019

We present new BVRI light curves of UY UMa with no O'Connell effect and a flat bottom secondary eclipse. Light curve synthesis with the Wilson-Devinney code gives a new solution, which is quite different from the previous study: UY UMa is an A-subtype over-contact binary with a small mass ratio of q = 0.21, a high inclination of 81°.4, a small temperature difference of ΔT=18°, a large fill-out factor of f = 0.61, and a third light of approximately 10% of the total systemic light. The absolute dimensions were newly determined. Seventeen new times of minimum light have been calculated from our observations. The period study indicates that the orbital period has intricately varied in a secular period increase in which two cyclical terms with periods of 12^y.0 and 46^y.3 are superposed. The secular period increase was interpreted to be due to a conservative mass transfer of 2.68 × 10^-8 M_⊙/yr from the less massive to the more massive star. The cyclical components are discussed in terms of double-light time contributions from two additional bound stars. The statistical relations of Yang & Qian (2015) among the physical parameters of 45 deep, low mass ratio contact binaries were revisited by using the physical parameters of UY UMa and 25 Kepler contact binaries provided by Şenavci et al. (2016).

• Korean Chemical Engineering Research
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• v.55 no.5
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• pp.638-645
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• 2017

A model for predicting the transport velocity was proposed using the correlation of the particle entrainment rate in the gas fluidized bed. The emptying time method was simulated using correlations of Choi et al. and Li and Kato. In order to exclude the influence of the unit of the gas velocity, the dimensionless velocity obtained by dividing the gas velocity by the terminal velocity was used as the value of the x-axis. The inverse of the particle entrainment rate was used as the value of the y-axis. When increasing the gas velocity, the non-dimensional velocity, at which the decreasing slope of the y-value is 0.398 [$m^2s/kg$] in absolute value, was considered as the transport velocity. The transport velocity predicted by the model was in good agreement even at high temperature and high pressure.

• Asian Journal of Atmospheric Environment
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• v.10 no.2
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• pp.67-79
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• 2016

The forecasting of air pollution is an important and popular topic in environmental engineering. Due to health impacts caused by unacceptable particulate matter (PM) levels, it has become one of the greatest concerns in metropolitan cities like Karaj City in Iran. In this study, the concentration of $PM_{2.5}$ was predicted by applying a multilayer percepteron (MLP) neural network, a radial basis function (RBF) neural network and a Markov chain model. Two months of hourly data including temperature, NO, $NO_2$, $NO_x$, CO, $SO_2$ and $PM_{10}$ were used as inputs to the artificial neural networks. From 1,488 data, 1,300 of data was used to train the models and the rest of the data were applied to test the models. The results of using artificial neural networks indicated that the models performed well in predicting $PM_{2.5}$ concentrations. The application of a Markov chain described the probable occurrences of unhealthy hours. The MLP neural network with two hidden layers including 19 neurons in the first layer and 16 neurons in the second layer provided the best results. The coefficient of determination ($R^2$), Index of Agreement (IA) and Efficiency (E) between the observed and the predicted data using an MLP neural network were 0.92, 0.93 and 0.981, respectively. In the MLP neural network, the MBE was 0.0546 which indicates the adequacy of the model. In the RBF neural network, increasing the number of neurons to 1,488 caused the RMSE to decline from 7.88 to 0.00 and caused $R^2$ to reach 0.93. In the Markov chain model the absolute error was 0.014 which indicated an acceptable accuracy and precision. We concluded the probability of occurrence state duration and transition of $PM_{2.5}$ pollution is predictable using a Markov chain method.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1235-1240
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• 2019

It is well known that the ground water level changes rapidly before and after the earthquake, and the variation of ground water level prediction is used to predict the earthquake. In this paper, we predict the ground water level in Miryang City using ANFIS algorithm for earthquake prediction. For this purpose, this paper used precipitation and temperature acquired from National Weather Service and data of underground water level from Rural Groundwater Observation Network of Korea Rural Community Corporation which is installed in Miryang city, Gyeongsangnam-do. We measure the prediction accuracy using RMSE and MAPE calculation methods. As a result of the prediction, the periodic pattern was predicted by natural factors, but the change value of ground water level was changed by other variables such as artificial factors that was not detected. To solve this problem, it is necessary to digitize the ground water level by numerically quantifying artificial variables, and to measure the precipitation and pressure according to the exact location of the observation ball measuring the ground water level.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.8
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• pp.652-661
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• 2018

It is necessary to resolve the absolute velocity as well as Mach number to reflect the high temperature effect in high speed flow. So this region is classified as high enthalpy flows distinguished from high speed flows. Many facilities, such as arc-jet, shock tunnel, etc. has been used to obtain the high enthalpy flows at the ground level. However, it is difficult to define the exact test condition in this type of facilities, because some chemical reactions and energy transfer take place during the experiments. In the present study, a quasi 1D code considering the thermochemical non-equilibrium effect is developed to effectively estimate the test condition of a shock tunnel. Results show that the code gives reasonable solution compared with the results from the known experiments and 2D axisymmetric simulations.

• Childhood Kidney Diseases
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• v.20 no.2
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• pp.57-62
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• 2016

Purpose: We used technetium-99m dimercaptosuccinic acid (DMSA) scintigraphy to identify factors predictive of renal cortical defects in infants <3 months of age with urinary tract infections (UTIs). Methods: We retrospectively reviewed data on infants <3 months of age with culture-proven UTIs treated at a single center from March 2010 to February 2016. Blood samples were obtained for laboratory evaluation prior to commencement of antibiotic therapy. The therapeutic delay time (TDT) and therapeutic response time (TRT) were recorded. All patients were divided into two groups depending on features of their DMSA scans. We compared the demographic, clinical, and laboratory characteristics of the two groups. Results: A total of 119 infants (94 males and 25 females; mean age, $56.9{\pm}21.3days$) were included. Cortical defects were evident in the DMSA scans of 47 cases (39.5%). In infants with such defects, the peak temperatures ($38.9{\pm}0.57^{\circ}C$ vs. $38.4{\pm}0.81^{\circ}C$, P=0.001), the absolute neutrophil counts ($8,920{\pm}4,460/mm$ vs. $7,290{\pm}4,090/mm$, P=0.043), and the C-reactive protein (CRP) levels ($6.49{\pm}4.33mg/dL$ vs. $3.21{\pm}2.81mg/dL$, P=0.001) were significantly higher than those in infants without cortical defects. The TDT was also longer in those with cortical defects (P=0.037). Conclusion: We found that a TDT ${\geq}8.5hr$ (odds ratio [OR] 5.81), a peak temperature ${\geq}38.3^{\circ}C$ (OR 6.19), and a CRP level ${\geq}4.96mg/dL$ (OR 7.26) predicted abnormal DMSA scan results in infants <3 months of age with UTIs.