• Journal of Ginseng Culture
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• v.2
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• pp.1-8
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• 2020

We conducted a comprehensive analysis of research papers on ginseng to provide an overview of global ginseng research. The qualitative and quantitative interpretation was carried out using collected data of Panax species and six other herbal plants from the Web of Science^TM Core Collection. We summarized and classified them by country/territory and institutions based on the corresponding author's institution. The first ginseng paper appeared in 1905 and since then, 8,090 papers have been published until 2019. Among them 7,385 papers were published in recent 24 years from 1996 to 2019. It was 18 papers in 1980, 53 in 1990, 97 in 2000, 369 in 2010, and increased to 678 in 2019. Proportion of ginseng papers in total number of scientific papers were also greatly increased, namely, 0.0008% in 1970, 0.0044% in 1980, 0.101% in 1990, 0.0141% in 2000, and 0.0422% in 2019. 7,099 original research papers including notes and 286 review papers were published during last 24 years. Total 3,286 institutions in 78 countries and 1,274 journals contributed to the publication of ginseng papers. Korea was the leading country in ginseng papers up to 2013, however, China took over the top from 2014. Chinese institutions contributed 40.3% of total papers followed by Korea (34.7%), USA (6.0%), Japan (4.1%), and Canada (2.9%). Ginseng was the most studied medicinal plant during last 24 years followed by tea, garlic, ginkgo, and ginger whose number of papers were 6,499, 3,641, 2,590, and 1,945, respectively.

• The Bulletin of The Korean Astronomical Society
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• v.42 no.2
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• pp.60.2-61
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• 2017

A Convolutional Neural Network(CNN) is one of the well-known deep-learning methods in image processing and computer vision area. In this study, we apply CNN to two kinds of flare forecasting models: flare classification and occurrence. For this, we consider several pre-trained models (e.g., AlexNet, GoogLeNet, and ResNet) and customize them by changing several options such as the number of layers, activation function, and optimizer. Our inputs are the same number of SOHO)/MDI images for each flare class (None, C, M and X) at 00:00 UT from Jan 1996 to Dec 2010 (total 1600 images). Outputs are the results of daily flare forecasting for flare class and occurrence. We build, train, and test the models on TensorFlow, which is well-known machine learning software library developed by Google. Our major results from this study are as follows. First, most of the models have accuracies more than 0.7. Second, ResNet developed by Microsoft has the best accuracies : 0.77 for flare classification and 0.83 for flare occurrence. Third, the accuracies of these models vary greatly with changing parameters. We discuss several possibilities to improve the models.

• Applied Biological Chemistry
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• v.39 no.6
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• pp.430-436
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• 1996

The induction by xylose and repression by glucose of xylose isomerase(XI) were investigated to elucidate the regulation for production of XI in Escherichia coli. Regulation for expression of xyIA gene which codes XI is under control of xylR which is a regulatory gene for xylose catabolism. When xyIR gene was resided in chromosome, the inductions of XI by the addition of 0.4% xylose were increased to 1.9 and 1.7-fold in case of locating on multicopy(pEX202/DH77) and low copy Plasmid(pEX102/DH77), respectively, as compared with that of xylA gene which was resided in chromosome(JM109). xyIR gene product derived from xyIR gene on chromosome might react to xylA gene on the plasmid as same as xylA gene on chromosome. In JM109 and xylA transformant; pEX202/DH77 and pEX102/DH77, the inductions of XI were completely repressed by the addition of 0.2% glucose and these catabolite repressions were derepressed by the addition of 1 mM cAMP In comparison with the addition of 0.4% xylose only for the induction XI was inductively produced 1.7 to 2-fold with the addition of xylose plus 1 mM cAMP in DM minimal media. pEX13/TP2010, xylA transformant of the deficient mutant($xyl^-,\;cya^-$; TP2010) of XI and cAMP production, did not induce XI by the addition of xylose only but induced in case of simultaneous addition of xylose and cAMP. These results show that cAMP and xylose are the indispensable effectors for the induction and derepression of Xl in E. coli.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.6
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• pp.1232-1238
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• 2011

This experiment was conducted to measure concentration of dissolved $N_2O$ in ground-water of 59 wells and to make emission factor for assessment of indirect $N_2O$ emission at agricultural sector in agricultural areas of Gyeongnam province from 2007 to 2010. Concentrations of dissolved $N_2O$ in ground-water of 59 wells were ranged trace to $196.6{\mu}g-N\;L^{-1}$. $N_2O$ concentrations were positively related with $NO_3$-N suggesting that denitrification was the principal reason of $N_2O$ production and $NO_3$-N concentration was the best predictor of indirect $N_2O$ emission. The ratio of dissolved $N_2O$-N to $NO_3$-N in ground-water was very important to make emission factor for assessment of indirect $N_2O$ emission at agricultural sector. The mean ratio of $N_2O$-N to $NO_3$-N was 0.0035. It was greatly lower than 0.015, the default value of currently using in the Intergovernmental Panel on Climate Change (IPCC) methodology for assessing indirect $N_2O$ emission in agro-ecosystems (IPCC, 1996). It means that the IPCC's present nitrogen indirect emission factor ($EF_{5-g}$, 0.015) and indirect $N_2O$ emission estimated with IPCC's emission factor are too high to use adopt in Korea. So we recommend 0.0034 as national specific emission factor ($EF_{5-g}$) for assessment of indirect $N_2O$ emission at agricultural sector. Using the estimated value of 0.0034 as the emission factor ($EF_{5-g}$) revised the indirect $N_2O$ emission from agricultural sector in Korea decreased from 1,801,576 ton ($CO_2$-eq) to 964,645 ton ($CO_2$-eq) in 2008. The results of this study suggest that the indirect Emission of nitrous oxide from upland recommend 0.0034 as national specific emission factor ($EF_{5-g}$) for assessment of indirect $N_2O$ emission at agricultural sector.

• Advances in pediatric surgery
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• v.16 no.1
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• pp.1-10
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• 2010

The members of the Korean Association of Pediatric Surgeons conducted a retrospective study of two hundred and twenty-two cases of intestinal atresia for the period from January 1, 2007 to December 31, 2009. Seventeen hospitals were involved. There were 76 duodenal, 65 jejunal, and 81 ileal atresias (3 colonic). The male to female ratio was 0.85:1 in DA and 1.34:1 in JIA. Ninety-four patients(43.3 %) were premature babies (DA 40.3 %, JA 64.6 %, IA 28.8 %), and 70 babies (32.0 %) had low birth weight (DA 38.7 %, JA 44.4 %, IA 16.0 %). Antenatal diagnosis was made in 153 cases (68.9 %). However, 27 infants (17.6 %) with antenatal diagnosis were transferred to the pediatric surgeon's hospitals after delivery. Maternal polyhydramnios was observed in 81 cases (36.59 %) and most frequent with proximal obstruction. In forty-four cases (19.8 %), only simple abdominal film was taken for diagnostic study. The associated malformations were more frequently observed in DA - 61.8 % in DA and 22.6 % in JIA. Meconium peritonitis, small bowel volvulus and intussusception were more frequently associated with ileal atresia. The overall mortality rate was 3.6 %. (Abbreviations: DA;duodenal atersia, JA;jejunal atresia, JIA;jejunoileal atresia, IA;ileal atrsia).