• Korean Journal of Environment and Ecology
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• v.11 no.4
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• pp.462-468
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• 1998

Vegetational data from 25 quadrats of Quercus mongolica communities at Hangyeryong and Paekdamsa area in Soraksan National Park were analysed by applying two multivariate methods: two-way indicator species analysis(TWINSPAN) for classification and canonical correspondence analysis(CCA) for ordination. The forest vegetation of Quercus mongolica community was classified into Quercus mongolica-Tilia amurensis, Quercus mongolica-Abies holophylla, Quercus mongolica-Styrax obassis, and Quercus mongolica-Quercus serrata groups according to the TWINSPAN. The relationships between the distribution of dominant groups according ot the TWINSPAN. The relationships between the distribution of dominant groups for forest vegetation and soil condition in Quercus mongolica communities were investigated by analysing elevation and soil nutrition gradients. Quercus mongolica-Tilia amurensis group was distributed in the high elevation and poor nutrition area of total nitrogen and C.E.C., Quercus monholica-Abies holophylla group was distributed in the high elevation and good nutrition area of total nitrogen and C.E.C., Quercus mongolica-Styrax obassia group was distributed in the medium elevation and poor nutrition area of total nitrogen and C.E.C., while Quercus mongolica-Quercus serrata group was distributed in the low elevation and poor nutrition area of total nitrogen and C.E.C.. The dominant factors influencing community distribution were elevation, total nitrogen and C.E.C..

• Proceedings of the Materials Research Society of Korea Conference
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• 2009.05a
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• pp.38.1-38.1
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• 2009

Plasma etching is an essential process for electronic device industries and the particulate contamination during plasma etching has been interested as a big issue for the yield of productivity. The oxynitride glasses have a merit to prevent particulate contamination due to their amorphous structure and plasma etching resistance. The YSiAlON oxynitride glasses with increasing nitrogen content were manufactured. Each oxynitride glasses were fluorine-plasma etched and their plasma etching rate and surface roughness were compared with reference materials such as sapphire, alumina and quartz. The reinforcement mechanism of plasma etching resistance of the YSiAlON glasses studied by depth profiling at plasma etched surface using electron spectroscopy for chemical analysis. The plasma etching rate decreased with nitrogen content and there was no selective etching at the plasma etched surface of the oxynitride glasses. The concentration of silicon was very low due to the generation of SiF4 very volatile byproduct and the concentration of aluminum and yttrium was relatively constant. The elimination of silicon atoms during plasma etching was reduced with increasing nitrogen content because the content of the nitrogen was constant. And besides, the concentration of oxygen was very low on the plasma etched surface. From the study, the plasma etching resistance of the glasses may be improved by the generation of nitrogen related structural groups and those are proved by chemical composition analysis at plasma etched surface of the YSiAlON oxynitride glasses.

• Journal of Microbiology and Biotechnology
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• v.31 no.5
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• pp.659-666
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• 2021

After Candida albicans, Candida glabrata is one of the most common fungal species associated with candidemia in nosocomial infections. Rapid acquisition of nutrients from the host is important for the survival of pathogens which possess the metabolic flexibility to assimilate different carbon and nitrogen compounds. In Saccharomyces cerevisiae, nitrogen assimilation is controlled through a mechanism known as Nitrogen Catabolite Repression (NCR). NCR is coordinated by the action of four GATA factors; two positive regulators, Gat1 and Gln3, and two negative regulators, Gzf3 and Dal80. A mechanism in C. glabrata similar to NCR in S. cerevisiae has not been broadly studied. We previously showed that in C. glabrata, Gln3, and not Gat1, has a major role in nitrogen assimilation as opposed to what has been observed in S. cerevisiae in which both factors regulate NCR-sensitive genes. Here, we expand the knowledge about the role of Gln3 from C. glabrata through the transcriptional analysis of BG14 and gln3Δ strains. Approximately, 53.5% of the detected genes were differentially expressed (DEG). From these DEG, amino acid metabolism and ABC transporters were two of the most enriched KEGG categories in our analysis (Up-DEG and Down-DEG, respectively). Furthermore, a positive role of Gln3 in AAA assimilation was described, as was its role in the transcriptional regulation of ARO8. Finally, an unexpected negative role of Gln3 in the gene regulation of ABC transporters CDR1 and CDR2 and its associated transcriptional regulator PDR1 was found. This observation was confirmed by a decreased susceptibility of the gln3Δ strain to fluconazole.

• Economic and Environmental Geology
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• v.55 no.5
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• pp.439-445
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• 2022

Organic pollutants that contained in stream sediments have origins of mountain soil in natural and cattle manure in human activity. Nitrogen and carbon isotope analysis for mountain soil, cattle manure and stream sediment were performed for contribution evaluation of organic pollutants in Toil stream of Yeongju dam basin. Average carbon isotope ratio(δ¹³C) is -25.17‰, -22.34‰, and -26.39‰ for river sediments, cattle manure and mountain soil, respectively. Result of carbon isotope analysis suggests that river sediments are more affected by acid soils. Average value of the nitrogen isotope ratio (δ¹⁵N) is 9.46% for river sediment, 1.99% for mountain soil, and 19.53% for cattle manure. Result of nitrogen isotopic analysis show that contribution of cattle mature is slightly higher than that of mountain soil in Toil stream sediments.

• Microbiology and Biotechnology Letters
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• v.46 no.2
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• pp.154-161
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• 2018

Currently, urban greening projects and research are attracting attention as a way to mitigate urban heat island phenomenon. In this study, nitrogen fixative bacteria were isolated and their effects on plant growth were confirmed. First, enrichment was performed in a nitrogen-free medium to isolate the nitrogen-fixing bacteria, and the colony showing high growth in a medium with limited nitrogen source was isolated and purified. Separated bacterial isolates were reduced by more than 90% acetylene by ARA and indirectly confirmed the activity of nitrogenase by ethylene production. Cedecea sp. MK7 and Enterobacter sp. Y8 with confirmed reproducibility were selected as nitrogen fixative bacteria. Nitrogen fixing bacteria were applied to the growth of perennial rye grass, and it was found that the dry weight increased to 34.80 mg (186.60%) compared with the control with 18.65 mg dry weight. After plant growth, microbial community analysis of soil applied by bacteria showed similarity to the control group. Therefore, in this study, it is expected that the efficiency will be increased if plant growth is promoted by using nitrogen fixing bacteria in urban greenery system.

• Journal of Wetlands Research
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• v.19 no.2
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• pp.216-222
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• 2017

Recently, opinions on the need for revision regarding the nitrogen effluent standard of nitrogen from sewage treatment plant(STP) are consistently suggested. However, it is axiomatic that if nitrogen effluent standard is strengthened without a clear basis, it will cause confusion in domestic STP. In this research, nitrogen fraction was analyzed based on a long-term incubation method, according to STP capacity, and the linked treatment of industrial wastewater. As a result, NBDDON, which is difficult to treat in STP, ranged from 1.0 to 1.9 mg/L. larger DON and NBDDON/DON was detected in small STP (under 10,000 m3 /d) as opposed to the large STP. NBDDON/DON in industrial STP was about 0.7 and it was higher than municipal STP. This research result will be used in the important raw data for revision of nitrogen effluent standard of nitrogen from STP.

• Korean Journal of Plant Resources
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• v.35 no.2
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• pp.192-200
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• 2022

Nitrogen is the most essential macronutrient for the growth of fruit trees and is important factor determining the fruit yield. In order to produce high-quality fruits, it is necessary to supply the appropriate nitrogen fertilizer at the right time. For this, it is a prerequisite to accurately diagnose the nitrogen status of fruit trees. The fastest and most accurate way to determine the nitrogen deficiency of fruit trees is to measure the nitrogen concentration in leaves. However, it is not easy for citrus growers to measure nitrogen concentration through leaf analysis. In this study, several machine learning models were developed to classify the nitrogen deficiency based on the concentration measurement of mineral nutrients in the leaves of tangor Shiranuhi (Citrus unshiu × C. sinensis). The data analyzed from the leaves were increased to about 1,000 training dataset through the bootstrapping method and used to train the models. As a result of testing each model, gradient boosting model showed the best classification performance with an accuracy of 0.971.

• Carbon letters
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• v.18
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• pp.62-66
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• 2016

• Journal of the Korean Chemical Society
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• v.35 no.6
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• pp.659-666
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• 1991

A systematic analysis of 18 stimulants and narcotic analgesics containing nitrogen atom (s) in human urine by gas chromatography with nitrogen phosphorus detector (GC-NPD), is described. The urinary extract with diethyl ether at pH 8.5 showed good recoveries of the drugs and less interference peaks on GC chromatogram. Retention data were standardized by the calculation of relative retention times using diphenylamine as the internal standard. The relative standard deviations of retention times were less than 0.1% for the within-run analyses. The response factor (RRF) of a drug relative to the internal standard was calculated. RRF decreased with increasing number of nitrogen atoms. This technique can be adapted to various analytical toxicology problems.

• Journal of Powder Materials
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• v.23 no.2
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• pp.136-142
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• 2016

As precursors of cathode materials for lithium ion batteries, $Ni_{1/3}Co_{1/3}Mn_{1/3}(OH)_2$ powders are prepared in a continuously stirred tank reactor via a co-precipitation reaction between aqueous metal sulfates and NaOH in the presence of $NH_4OH$ in air or nitrogen ambient. Calcination of the precursors with $Li_2CO_3$ for 8 h at $1,000^{\circ}C$ in air produces dense spherical cathode materials. The precursors and final powders are characterized by X-ray diffraction (XRD), scanning electron microscopy, particle size analysis, tap density measurement, and thermal gravimetric analysis. The precursor powders obtained in air or nitrogen ambient show XRD patterns identified as $Ni_{1/3}Co_{1/3}Mn_{1/3}(OH)_2$. Regardless of the atmosphere, the final powders exhibit the XRD patterns of $LiNi_{1/3}Co_{1/3}Mn_{1/3}O_2$ (NCM). The precursor powders obtained in air have larger particle size and lower tap density than those obtained in nitrogen ambient. NCM powders show similar tendencies in terms of particle size and tap density. Electrochemical characterization is performed after fabricating a coin cell using NCM as the cathode and Li metal as the anode. The NCM powders from the precursors obtained in air and those from the precursors obtained in nitrogen have similar initial charge/discharge capacities and cycle life. In conclusion, the powders co-precipitated in air can be utilized as precursor materials, replacing those synthesized in the presence of nitrogen injection, which is the usual industrial practice.