• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.173-179
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• 2000

Interval prediction based on the empirical distribution function for the class of time series with time varying coefficients is discussed. To this end, strong mixing property of the model is shown and results due to Fotopoulos et. al.(1994) are employed. A simulation study is presented to assess the accuracy of the proposed interval predictor.

• Bulletin of the Korean Chemical Society
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• v.19 no.9
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• pp.934-942
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• 1998

$^13CO$ chemisorbed on platinum particles in L-zeolite has been investigated by static and magic angle spinning NMR spectroscopy. The representative spectra are composed of a broad asymmetric peak with a center of gravity at 230±30 ppm and a sharp symmetric peak at 124±2 ppm which is tentatively assigned to physisorbed $CO_2$, on inner walls of L-zeolite. Overall, the broad resonance component is similar to our previous results of highly dispersed (80-96%) CO/Pt/silica or CO/Pt/alumina samples, still showing metallic characters. The principal difference is in the first moment value. The broad peak in the spectra is assigned to CO linearly bound to Pt particles in the L-zeolites, and indicates a distribution of isotropic shifts from bonding site to bonding site. The NMR results reported here manifest that the Pt particles inside of the L-zeolites channels are not collectively the same with the ones supported on silica or alumina with similar dispersion in terms of Pt particle shape and/or ordering of Pt atoms in a particle. As a result, Pt particles of CO/Pt/L-zeolite were agglomerated accompanying CO desorption upon annealing. There were no definite changes in the NMR spectra due to differences of exchanged cations. Comparison of our observation on CO/Pt/L-zeolite with Sharma et al.'s reveals that even when the first moment, the linewidtb, and the relaxation times of the static spectra and the dispersion measured by chemisorption are similar, the properties of Pt particles can be dramatically different. Therefore, it is essential to take advantage of the strengths of several techniques together in order to interpret data reliably, especially for the highly dispersed samples.

• Journal of Chitin and Chitosan
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• v.23 no.4
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• pp.267-276
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• 2018

This study was performed to investigate the ameliorating effect of a hangover beverage mixture (SBJ) that contains Dendropanax morbifera Lev. and several medicinal plant extracts, on hepatoprotection and alcohol-metabolizing enzymes in alcohol-induced hangover in both in vitro and in vivo models. In human hepatoma cell line, HepG2, 300 mM of ethanol-induced hepatotoxicity was significantly improved by pretreatment of SBJ by dose-dependent manner. In the in vivo study, administration of alcohol to rats raised to the concentration of blood alcohol and lactate dehydrogenase (LDH). Blood alcohol and LDH levels in SBJ-treated rats significantly decreased at 0.5 h and 8 h after acute ethanol administration (40%, 4.6 g/kg body weight) as compared to alcohol-treated rats. Hepatic alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH) activity were significantly higher in SBJ-treated rats than in alcohol-treated rats. SBJ supplementation reduced formation of malondialdehyde (MDA), and inhibited reductions of hepatic superoxide dismutase (SOD), hepatic glutathione (GSH), glutathione-S-transferase (GST), glutathione reductase (GR) and glutathione peroxidase (GPx) levels, compared with rats administered alcohol. Plasma catalase (CAT), aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels showed unaltered resulted in all experimental groups compared with the control group. These results suggest that SBJ exhibit hepatoprotective properties by enhancing ADH, ALDH activity and stimulating the antioxidant defense system in alcohol-induced hangover.

• Journal of Nutrition and Health
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• v.55 no.1
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• pp.59-69
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• 2022

Purpose: Natural medicinal plant extracts have recently attracted attention as health beneficial foods and potential therapeutic agents for prevention of various diseases. This study was undertaken to measure the anti-inflammatory effect of the ethanol-water fraction obtained from the above-ground portion of Spiraea prunifolia var. simpliciflora, a wild-growing plant in Korea. The final fraction used in this study was the H₂O-EtOH (40:60) fraction (SP60), which had the highest antioxidant activity, as determined in previous studies. Methods: The amounts of nitric oxide (NO), tumor necrosis factor (TNF)-α, interleukin (IL)-6 and IL-1β production were measured in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells exposed to SP60. Western blot was performed to measure the expressions of inducible nitric oxide synthase (iNOS), cyclooxygenase (COX)-2, and the activation of nuclear factor (NF)-κB. Results: SP60 exerted no cytotoxicity up to concentrations of 125 ㎍/mL. The levels of inflammatory cytokines, such as NO, TNF-α, IL-6, and IL-1β, were significantly decreased in LPS-stimulated RAW264.7 cells exposed to SP60. In addition, the expression levels of iNOS, COX-2, and phosphorylated p65 showed a concentration-dependent decrease subsequent to SP60 treatment. These results indicate that SP60 inhibits the LPS-induced production of inflammatory cytokines, iNOS, and COX-2, by inhibiting the activation of NF-κB, which is responsible for the expression of inflammatory mediators. Conclusion: The results presented in this study indicate that the H₂O-EtOH (40:60) fraction (SP60) extracted from the above-ground portion of Spiraea prunifolia var. simpliciflora has the potential to be developed as a medicine or healthcare food and functional material possessing anti-inflammatory effects. However, it is necessary to first confirm the anti-inflammatory effects of SP60 in in vivo models.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.6
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• pp.313-327
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• 2017

The purpose of this study is to predict the effects of macroscopic and integrative therapies by finding active ingredients, potential targets of Astragalus membranaceus (Am) and Cornus officinalis (Co) for diabetic nephropathy. We have constructed network pharmacology-based systematic and network methodology by system biology, chemical structure, chemogenomics. We found several active ingredients of Astragalus membranaceus (Am) and Cornus officinalis (Co) that were speculated to bind to specific receptors which had been known to have a role in the progression of diabetic nephropathy. Four components of Am and eleven components of Co could bind to iNOS; two ingredients of Am and six ingredients of Co could docking to cGB-PDE; one component of Am and nine components of Co could bind to ACE; three ingredients of Co with neprilysin; three components of Co with ET-1 receptor; four ingredients of Am and fourteen ingredients of Co with mineralocorticoid receptor; one component of Am and seven components of Co with interstitial collagenase; one ingredient of Am and ten ingredients of Co with membrane primary amine oxidase; one component of Am and four components of Co with JAK2; two ingredients of Am and one ingredient of Co with MAPK 12; one component of Am and five components of Co could docking to TGF-beta receptor type-1. From this work we could speculate that the possible mechanisms of Am and Co for diabetic nephropathy are anti-inflammatory, antioxidant and antihypertensive effects.

• The Korean Journal of Food And Nutrition
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• v.30 no.6
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• pp.1364-1369
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• 2017

There is a growing demand for natural sleep aids due to various side effects of long-term administration of pharmacological treatments for insomnia. Honey has been reported to exhibit numerous potential health benefits, and it is hypothesized that honey may favorably affect insomnia treatment. Therefore, this study was performed to investigate the possible hypnotic effect of clover honey (CH) and to determine its in vivo mechanism. The total flavonoid content (TFC) of CH and fractions extracted with ethylacetate (EtOAc) and $H_2O$ was measured. The pentobarbital-induced sleep test using $GABA_A$-benzodiazepine (BZD) agonists and antagonists was conducted to evaluate the potential mechanism of action behind the sedative-hypnotic activity of CH in mice. The results showed that administration of 500 and 1,000 mg/kg of CH significantly (p<0.01) reduced the sleep latency to a level similar to that of diazepam (DZP, 2 mg/kg), and 1,000 mg/kg of CH significantly (p<0.01) prolonged the sleep duration, which was comparable to that of DZP (2 mg/kg). Administration of the EtOAc fraction with a higher TFC significantly reduced the sleep latency at 50 to 200 mg/kg and prolonged the sleep duration at 100 to 200 mg/kg, which were comparable to those after administration of DZP (2 mg/kg). However, co-administration of CH and EtOAc with flumazenil, a specific $GABA_A-BZD$ receptor antagonist, blocked the hypnotic effect. Our findings suggest that the hypnotic activity of CH may be attributed to allosteric modulation of $GABA_A-BZD$ receptors. The TFC of CH is expected to be a key factor that contributes to its hypnotic effect.

• Journal of Microbiology and Biotechnology
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• v.13 no.5
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• pp.660-665
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• 2003

High-level expression of Thermus caldophilus GK24 alkaline phosphatase (Tca APase) was achieved in Escherichia coli using the pET-based expression plasmids, pEAP1 and pEAP2. In the case of plasmid pEAP2, the signal peptide region of Tca APase was replaced by the PelB leader peptide of expression vector pET-22b(+). Furthermore, the expression level was somewhat higher than that of plasmid pEAPl. A rapid purification procedure of Tca APase overproduced in E. coli was developed which involved heating to denature E. coli proteins followed by HiTrap Heparin HP column chromatography. Optimal temperature and pH and $Mg^{2+}$ dependence of the recombinant Tca APase were similar to those of native enzyme isolated from T. caldophilus GK24.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.3
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• pp.157-162
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• 2011

This study is about implementing wireless transferring system in pre-hospital cardiopulmonary resuscitation(CPR). Also, this study includes monitoring based feedback between patient and hospital to increase the survival rate of emergency patient by developing the performance of cardiopulmonary resuscitation in pre-hospital. It minimizes the loss of flow rate or gastric inflation through the space between the airway and the esophagus, which enables the inspiration-expiration rate to be measured more precisely. Due to these reasons this study applied ET insertion based respiratory sensor to measure flow rate. The main indices of artificial ventilation are justified from minute respiration(V), end-tidal $CO_2(E_TCO_2)$, and tracheal pressure($P_{tr}$). The simulation is performed to verify the bandwidth and delay time of transport network for in-hospital monitoring even as transporting images and voice information simultaneously. The total bandwidth is 815 kbps, and WLAN (IEEE 802.11x) is used as communication protocol. The network load is under 1.5% and the transmit delay time is measured under 0.3 seconds.

• Journal of the Earthquake Engineering Society of Korea
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• v.25 no.2
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• pp.71-81
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• 2021

This paper presents a real-time, false-pick filter based on deep learning to reduce false alarms of an onsite Earthquake Early Warning (EEW) system. Most onsite EEW systems use P-wave to predict S-wave. Therefore, it is essential to properly distinguish P-waves from noises or other seismic phases to avoid false alarms. To reduce false-picks causing false alarms, this study made the EEWNet Part 1 'False-Pick Filter' model based on Convolutional Neural Network (CNN). Specifically, it modified the Pick_FP (Lomax et al.) to generate input data such as the amplitude, velocity, and displacement of three components from 2 seconds ahead and 2 seconds after the P-wave arrival following one-second time steps. This model extracts log-mel power spectrum features from this input data, then classifies P-waves and others using these features. The dataset consisted of 3,189,583 samples: 81,394 samples from event data (727 events in the Korean Peninsula, 103 teleseismic events, and 1,734 events in Taiwan) and 3,108,189 samples from continuous data (recorded by seismic stations in South Korea for 27 months from 2018 to 2020). This model was trained with 1,826,357 samples through balancing, then tested on continuous data samples of the year 2019, filtering more than 99% of strong false-picks that could trigger false alarms. This model was developed as a module for USGS Earthworm and is written in C language to operate with minimal computing resources.

• International Journal of Highway Engineering
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• v.3 no.2 s.8
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• pp.91-102
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• 2001

On the basis of several experiments peformed, Bahia et al. (1998) concluded that the current Superpave PG-grading system failed to characterize grading specification of fill modified binders. This conclusion motivates us to investigate the correct grating system suited for modified asphalt binders. The main concept of this development is originated from the relationship between rut depth and binder properties at high temperatures. A new grading system for modified asphalt binders suggested here somewhat resembles to the unmodified binder grading one developed by Huh et al. (2000). Thus, this investigation will provide a unified single theoretical equation of high temperature grading that can apply both to modified and unmodified binders, and will check its effectiveness with the laboratory and the field rut data reported by independent studies. Successful results observed may allow to construction of a correct grading system in the near future.