• Microbiology and Biotechnology Letters
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• v.19 no.1
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• pp.57-63
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• 1991

A strain J-19 was isolated from soil, produced lipase which has resistant against alkali and linear alkylbenzene sulfonate. The strain was identified as Pseudornonns sp.. The enzyme was purified by ammonium sulfate precipitation, DEAE-Sephadex and Sephadex G- 100 column chromatography. The specific activity of the purified enzyme was 35 unit/mg protein and the yield of enzyme activity was 17%. The purified enzyme showed a single band on polyacrylamide disc gel electrophoresis. Mo1ecul;tr weight of the purified enzyme was estimated about 36,000 by Sephadex GI00 gel filtration and SDS-polyacrylarnide gel electrophoresis. The optimum pH and temperature were pH 10.0 and $30^{\circ}C$, respectively. Activity of the purified enzyme was increased 2-fold by the addition of 0.1% linear alkylbenzene sulfonate and 2.5- fold by the addition of 0.05% Tide. This enzyme remained stable from pH 8.0 to 10.0 and stable up to $40^{\circ}C$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.312-319
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• 2017

For high value-added applications of natural blue diatomite, the physical refining process and synthesis of SiC from refined diatomite were investigated. Approximately 30 percent Fe ($Fe_2O_3$) in raw blue diatomite was removed by a particle sieve separation process; the Fe composition for 325 mesh down powder was approximately 2 percent. Although a wet and/or dry magnetic separation process had some influence on the separation and/or refining of Fe composition, the Fe composition in the non-magnetic by-product was approximately 2 percent. Water leaching separation was effective in removing the Fe composition; approximately 40 percent of the Fe in raw blue diatomite was removed. The synthesis of ${\beta}$-SiC by a carbothermal reduction of the $SiO_2$ in the refined diatomite using carbon (graphite, carbon black), the effects of an acid-treatment on removing the Fe, and the specific surface area for the synthesized powder were also investigated. The impurities were mostly eliminated and the specific surface area was increased to $52.5m^2/g$.

• Parasites, Hosts and Diseases
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• v.36 no.2
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• pp.133-142
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• 1998

A 40 kDa cysteine protease was purified from the crude extract of adult worms of GMnnophalloines seoi by two consecutive steps: Sephacryl S-200 HR and DEAE- Sephacel chromatography. Enzyme activities were completely inhibited by cysteine protease inhibitors, L-lorans-epoxysuccinylleucylamido (4-guanidino) butane (E-64) and iodoacetic acid, strongly suggesting that the purified enzyme belongs to the cysteine family of proteases. The enzyme was maximally acive at pH 4.5 in 0.1 M of buffer, and its activity was greatly potentiated in the presence of 5 mM dithiothreitol. The protease degraded macromolecules with differential capabilities : it degraded extracellular matrix proteins, such as collagen and fibronectin, with a stronger activity against collagen than fibronectin . However, the enzyme digested hemoglobin and human immunoglobulins only slightly. leaving them nearly intact after an overnight reaction. Our results suggest that the cysteine protease of G. seoi adults is potentially significant in the nutrient uptake from the host intestine.

• Korean Journal of Food Science and Technology
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• v.17 no.3
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• pp.180-185
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• 1985

The alkali refined rice bran oil (ARBO) and the esterified rice bran oil (ERBO) with glycerol were compared for their thermal stabilities at $150^{\circ}C$ and $180^{\circ}C$, respectively. The acid value gradually increased in ARBO during heating period but increased slowly in ERBO-2 and declined gradually in ERBO-1. The peroxide value was somewhat fluctuated during heating period, and the maximum peroxide value in all samples was 13.3 meq/kg. TBA value was sharply increased for the first 10 hr. heating and slowed down thereafter for all samples but ERBO were intensely colored after the heat treatment. The TG ratio of the oils after 90 hr. heating was not different at $150^{\circ}C$ but ERBO was 2-7% higher ratio of TG than ARBO at $180^{\circ}C$. The oxidative stability of ARBO was twice higher than ERBO according to the result of active oxygen test.

• Korean Journal of Microbiology
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• v.38 no.1
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• pp.38-44
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• 2002

Pneumococcal surfacce protein A (PspA) is an important virulence factor and an antigenically variable surface protein of the pneumococci. To purify the PspA from S. pneumoniae KNIH1156 , a clinical isolate (type 19F), we have taken advantage of the fact that PspA is released from the surface of pneumococci into the medium by growing in a CDM-ET medium and PspA is capable of binding human lactoferrin, the iron carrier protein. PspA of S. pneumoniae KNIH1156 was purified from culture supernatant by human lactoferrin (hLf) affinity chromatography. The purified PspA was confirmed with anti-PspA antiserum and also had the binding capacity to hLf specifically. To determine whether the purified PspA could elicit protection in mice against pneumococcal inflection, we immunized the mice with purified PspA and subsequently challenged with S. pneumoniae KNIH1156. Immunization with purified PspA protected mice from 500 times the $LD^{50}$ of S. pneumoniae KNIH1156. Therefore, it has been shown that purified PspA fromS. pneumoniae KNIH1156 (type 19F) is a protective immunogen.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.829-840
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• 2007

Dirty Data Cleansing technique so far have aimed to integrate large amount of data from various sources and manage data quality resided in DB so that it enables to extract meaningful information. Prompt response to varying environment is required in order to persistently survive in rapidly changing business environment and the age of limitless competition. As system requirement is recently getting complexed, Service Oriented Architecture is proliferated for the purpose of integration and implementation of massive distributed system. Therefore, SOA necessarily needs Data Exchange among services through Data Cleansing Technique. In this paper, we executed quality management of XML data which is transmitted through events between services while they are integrated as a sole system. As a result, we developed Dirty Data Cleansing Service based on SOA as focusing on data cleansing between interactive services rather than cleansing based on detection of data error in DB already integrated.

• Journal of agriculture & life science
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• v.43 no.5
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• pp.57-62
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• 2009

This study was conducted to analyze to the applicability of refined saps of Acer mono, A. mono for. rubripes, A. okamotoanum through sap refining system. 1 species of Bacillus genus, 3-4 species of yeast and 2 species of fungi were detected in the origin sap of three Acer spp. The pH in the origin sap were 6.5, and decreased in refining sap as 6.3-6.4. Sucrose in sugar components was detected in the origin and refining sap of Acer spp., but glucose and fructose were not detected. Compared the origin and refining sap, mineral components decreased slightly in refining sap. These results indicate that refining sap of Acer spp. are drinkable with long-term storage.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.891-897
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• 2022

In big data analysis, raw text data mostly exists in various unstructured data forms, so it becomes a structured data form that can be analyzed only after undergoing heuristic pre-processing and computer post-processing cleansing. Therefore, in this study, unnecessary elements are purified through pre-processing of the collected raw data in order to apply the wordcloud of R program, which is one of the text data analysis techniques, and stopwords are removed in the post-processing process. Then, a case study of wordcloud analysis was conducted, which calculates the frequency of occurrence of words and expresses words with high frequency as key issues. In this study, to improve the problems of the "nested stopword source code" method, which is the existing stopword processing method, using the word cloud technique of R, we propose the use of "general stopword corpus" and "user-defined stopword corpus" and conduct case analysis. The advantages and disadvantages of the proposed "unstructured data cleansing process model" are comparatively verified and presented, and the practical application of word cloud visualization analysis using the "proposed external corpus cleansing technique" is presented.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.745-750
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• 2021

In Big data visualization analysis of unstructured text data, raw data is mostly large-capacity, and analysis techniques cannot be applied without cleansing it unstructured. Therefore, from the collected raw data, unnecessary data is removed through the first heuristic cleansing process and Stopwords are removed through the second machine cleansing process. Then, the frequency of the vocabulary is calculated, visualized using the word cloud technique, and key issues are extracted and informationalized, and the results are analyzed. In this study, we propose a new Stopword cleansing technique using an external Stopword set (DB) in Python word cloud, and derive the problems and effectiveness of this technique through practical case analysis. And, through this verification result, the utility of the practical application of word cloud analysis applying the proposed cleansing technique is presented.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.935-940
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• 2023

Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.