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Isolation and Characterization of Cryptococcus sp. CS-2 Secreting Polygalacturonase from Soil (토양으로부터 Cryptococcus sp. CS-2의 분리 및 균주가 분비하는 Polygalacturonase의 특성에 관한 연구)

  • 강희경;문명님;임채영;양영기
    • Korean Journal of Microbiology
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    • v.35 no.2
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    • pp.158-163
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    • 1999
  • A ploygalacturonase-produchg yeast was isolated from Cheju soil by selective eivichment media. One strain which has the highesl activity of polygalacturonase was selected. The characle~ishcs of the strain CS-2 were as follows: CS-2 utilized xylose. sucrose, maltose, u.ehalose, cellobiose. melibiose, lactose, raffinose, inosiiol, dulicilol, and dextrose, but did not utilized galactose, nitrate. nit~te, and lysine. Growth of CS-2 was inhibited by cyclohexamide, 1% acetic acid, and high concenaation (over 50%) of glucose. It grew at $30^{\circ}C$ but did 'IIOL $35^{\circ}C$. The cell size ofthe strain CS-2 was 2.9 p ~ n in length and 1.3 $\mu$ in diameter. Vegetable reproductmn was multiple budding and ascospre was present I to 4. Pseudomycelia or true myceliua formation were not observed In any of the cullureq. These results suggest that strain CS-2 is most likely a strain related Cryptococcus spp. (Cryptococcu spp. CS-2). When polygalacturonase or ihe yeast was induced by addition of polygalactoronic acid, polygalacturonase activity was detected in culture supernatent. There was a peak of specific activity a1 he mid-stationary phase(3 days culture) of growth. Polygalacturonase specific activity of Crylmcoccus sp. CS-2 was 2.96 unitsling. The molecular weighl ol'polygalacturonase was showed to be 46 KDa by both SDS-PAGE and activity stailling.

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Enzymatic Characterization of a Thermostable 4-α-Glucanotransferase from Thermotoga neapolitana (Thermotoga neapolitana 유래 내열성 4-알파-글루칸전이효소의 효소적 특성)

  • Choi, Kyoung-Hwa;Seo, Ja-Yeong;Kim, Ji-Eun;Cha, Jae-Ho
    • Journal of Life Science
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    • v.21 no.2
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    • pp.221-226
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    • 2011
  • The gene encoding 4-$\alpha$-glucanotransferase (mgtA) from Thermotoga neapolitana was cloned and expressed in Escherichia coli in order to investigate whether this enzyme was capable of producing cycloamylose for industrial applications. MgtA was purified to homogeneity by HiTrap Q HP and Sephacryl S-200 HR column chromatographies. The size of the enzyme as determined by SDS-PAGE was about 52 kDa, which was in good agreement with its deduced molecular mass of 51.9 kDa. The optimal temperature and pH for the activity of the 4-$\alpha$-glucanotransferase was found to be $85^{\circ}C$ and 6.5, respectively. The enzyme hydrolyzed the 1,4-$\alpha$-glucosidic bonds in oligomeric 1,4-$\alpha$-glucans and transferred oligosaccharides (maltotriose being the shortest one) to acceptor maltodextrins. However, the enzymes had no activity against pullulan, glycogen, and other di- or trioligosaccharides with rare types of $\alpha$-bond. MgtA is distinguished from 4-$\alpha$-glucanotransferase from Thermotoga maritima in that it can convert maltotriose into maltooligosaccharides. The treatment of glucoamylase after the reaction of MgtA with maltotriose, maltotetraose, maltopentaose, or maltohexaose as sole substrate revealed that MgtA yielded linear maltooligosaccharides instead of cycloamylose.

A Regression-Model-based Method for Combining Interestingness Measures of Association Rule Mining (연관상품 추천을 위한 회귀분석모형 기반 연관 규칙 척도 결합기법)

  • Lee, Dongwon
    • Journal of Intelligence and Information Systems
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    • v.23 no.1
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    • pp.127-141
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    • 2017
  • Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

Adaptive Row Major Order: a Performance Optimization Method of the Transform-space View Join (적응형 행 기준 순서: 변환공간 뷰 조인의 성능 최적화 방법)

  • Lee Min-Jae;Han Wook-Shin;Whang Kyu-Young
    • Journal of KIISE:Databases
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    • v.32 no.4
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    • pp.345-361
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    • 2005
  • A transform-space index indexes objects represented as points in the transform space An advantage of a transform-space index is that optimization of join algorithms using these indexes becomes relatively simple. However, the disadvantage is that these algorithms cannot be applied to original-space indexes such as the R-tree. As a way of overcoming this disadvantages, the authors earlier proposed the transform-space view join algorithm that joins two original- space indexes in the transform space through the notion of the transform-space view. A transform-space view is a virtual transform-space index that allows us to perform join in the transform space using original-space indexes. In a transform-space view join algorithm, the order of accessing disk pages -for which various space filling curves could be used -makes a significant impact on the performance of joins. In this paper, we Propose a new space filling curve called the adaptive row major order (ARM order). The ARM order adaptively controls the order of accessing pages and significantly reduces the one-pass buffer size (the minimum buffer size required for guaranteeing one disk access per page) and the number of disk accesses for a given buffer size. Through analysis and experiments, we verify the excellence of the ARM order when used with the transform-space view join. The transform-space view join with the ARM order always outperforms existing ones in terms of both measures used: the one-pass buffer size and the number of disk accesses for a given buffer size. Compared to other conventional space filling curves used with the transform-space view join, it reduces the one-pass buffer size by up to 21.3 times and the number of disk accesses by up to $74.6\%$. In addition, compared to existing spatial join algorithms that use R-trees in the original space, it reduces the one-pass buffer size by up to 15.7 times and the number of disk accesses by up to $65.3\%$.

Cloning of Major Capsid Protein Gene of Pseudorabies Virus and Expression by Baculovirus Vector System (Pseudorabies Virus의 Major Capsid Protein 유전자의 클론닝과 Baculovirus Vector System에 의한 발현)

  • An, Dong-Jun;Jun, Moo-Hyung;Song, Jae-Young;Park, Jong-Hyeon;Hyun, Bang-Hun;Chang, Kyung-Soo;An, Soo-Hwan
    • The Journal of Korean Society of Virology
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    • v.26 no.2
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    • pp.151-162
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    • 1996
  • Pseudorabies is caused by Pseudorabies virus (PRV: Aujeszky's disease virus) of Herpesviridae that is characterized by 100 to 150nm in size with a linear double-stranded DNA molecule with of approximately $90{\times}10^6Da$. This disease affects most of domestic animals such as swine, cattle, dog, sheep, cat, chicken, etc. causing high mortality and economic losses. In swine, young piglets show high mortality and pregnant sows, reproductive failures. However the adult swine reveals no clinical signs in general. But they become a carrier state and play an important role for propagation of the disease. In this study, the nucleotide sequence of major casid protein gene of PRV, Yangsan strain isolated from the diseased swine in Korea was analyzed, and the recombinant MCP was produced by expression of the MCP gene in Sf-9 cell using baculovirus transfer vector system. As result, in BamHI digestion, MCP gene locus of PRV YS strain showed different from that of Indiana S strain. The patterns of enzyme mapping were also found to be unidentical each other. The sequence of the MCP gene partially analyzed showed 98.09% identity to Indiana S strain. The expression of MCP in Sf-9 cell cotransfected by pVLMCP-44 baculovirus expression vector was characterized by Southern blot hybridization, immunofluoresent and immunocytochemical tests, SDS-PAGE and Western blotting. The rMCP with M.W. 142kDa was most effectively expressed in Sf-9 cells at the 3-4th days post inoculation of the recombinant baculovirus by 2 moi.

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Comprehensive evaluation of structural geometrical nonlinear solution techniques Part II: Comparing efficiencies of the methods

  • Rezaiee-Pajand, M.;Ghalishooyan, M.;Salehi-Ahmadabad, M.
    • Structural Engineering and Mechanics
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    • v.48 no.6
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    • pp.879-914
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    • 2013
  • In part I of the article, formulation and characteristics of the several well-known structural geometrical nonlinear solution techniques were studied. In the present paper, the efficiencies and capabilities of residual load minimization, normal plane, updated normal plane, cylindrical arc length, work control, residual displacement minimization, generalized displacement control and modified normal flow will be evaluated. To achieve this goal, a comprehensive comparison of these solution methods will be performed. Due to limit page of the article, only the findings of 17 numerical problems, including 2-D and 3-D trusses, 2-D and 3-D frames, and shells, will be presented. Performance of the solution strategies will be considered by doing more than 12500 nonlinear analyses, and conclusions will be drawn based on the outcomes. Most of the mentioned structures have complex nonlinear behavior, including load limit and snap-back points. In this investigation, criteria like number of diverged and complete analyses, the ability of passing load limit and snap-back points, the total number of steps and analysis iterations, the analysis running time and divergence points will be examined. Numerical properties of each problem, like, maximum allowed iteration, divergence tolerance, maximum and minimum size of the load factor, load increment changes and the target point will be selected in such a way that comparison result to be highly reliable. Following this, capabilities and deficiencies of each solution technique will be surveyed in comparison with the other ones, and superior solution schemes will be introduced.

Genetic characteristics of the novel insect pathogenic Bacillus thuringiensis subsp. aizawai strain (새로운 곤충병원성 Bacillus thuringiensis subsp. aizawai 균주의 유전학적 특성)

  • Seo, Mi Ja;Youn, Young Nam;Yu, Yong Man;Kim, Ki Su
    • Korean Journal of Agricultural Science
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    • v.41 no.4
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    • pp.351-359
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    • 2014
  • For identifying the plasmid DNA coding cry gene of Bacillus thuringiensis subsp. aizawai KB098 with high insecticidal activity against Spodoptera exigua, mutant isolates with no crystal protein were produced by $42^{\circ}C$ incubation condition and then mutant plasmid DNA band patterns were compared with those of KB098. KB098 isolates had 4 cry genes, cry1Aa, cry1Ab, cry1C, cry1D, and also had been found seven plasmid DNA. Though the SDS-PAGE experiment, it was confirmed that mutant didn't produce 130~145kDa protein band involved in bipyramidal shape crystal. Also, five mutant isolates had no cry genes coding plasmid DNA in PCR. In result of comparison the plasmid DNA of KB098 and 5 mutant isolates, only 1 plasmid DNA band was left out in mutant plasmid DNA pattern, so that the missing band was extracted from the gel. The missing(disappeared) plasmid DNA was the largest molecular size among the 7 plasmid DNA of KB098 and it was also confirmed this plasmid DNA had all 4 cry genes through PCR.

Purification and Characterization Sucrose phosohorylase in Leuconostoc mesenteroides NRRL B-1149 (Leuconostoc mesenteroides NRRL B-1149의 Sucrose phosohorylase의 분리와 특성 연구)

  • Lee Jin Ha;Park Jun Seong;Park Hyen Joung;Cho Jae Young;Choi Jeong Sik;Kim Do Man
    • KSBB Journal
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    • v.19 no.5
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    • pp.363-367
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    • 2004
  • Leuconostoc mesenteroides NRRL B-1149 produces various glucoseyltransferases for the synthesis of dextran, levan and glucose-1-phosphate using sucrose as a substrate. A sucrose phosphorylase (1149SPase) was purified from L. mesenteroides NRRL B-1149 culture by using hollow fiber filtration (30 kDa cut off), Toyopearl DEAE 650 M column chromatography and following two times of DEAE-Sepharose column chromatographies. The specific activity of the purified 1149SPase was 25.7 (U/mg) with $16\%$ yield. The 1149SPase showed a molecular size of 56 kDa on denatured $10\%$ SDS-PAGE. The N-terminal amino acid sequence of the enzyme was MEIQNKAM. The optimum pH and temperature of this enzyme were 6.2~6.5 and 37^{circ}C, respectively. It had an apparent K_{m} of 6.0 mM and K_{cat} of 1.62/s for sucrose. 1149SPase crystal was formed by hanging drop diffusion technique using 20 mM calcium chloride dihydrate, 100 mM sodium acetate trihydrate pH 4.6 and $30\%$ 2-methyl-2,4-pentanediol as vaporizing and reservation solution. The 1149SPase catalyzes transferring of glucose from isomaltose or sucrose to salicin and salicyl alcohol by disproportionation reaction or acceptor reaction and synthesized two acceptor products, respectively.

The Semantic Zooming Method for Efficient Web Browsing on Internet-connected Digital Television (IPTV 환경에서 효율적인 웹 탐색을 위한 시맨틱 주밍 기법)

  • Chung, Ji-Hye;Lee, Hye-Jeong;Lea, Jong-Ho;Kim, Yeun-Bae
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.579-583
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    • 2008
  • Web pages with complex layout and small font size do not display well on large screen display such as TV because it has limited capabilities: long distance view, passive user attitude, limited input device like a legacy remote controller. We have designed and implemented new semantic zoom browsing facilities to support effective navigation on Internet-connected digital television with limited capabilities. Our browser performs partitioning of an HTML document content into semantic blocks. Semantic blocks present summarized information with more readable style and modified layout for optimal reading and browsing. Individual blocks can be selected by the user and zoomed in more detail information by the user. The scrolling on large display device needs more user interaction. Our browser modifies the layout of an HTML document with removing horizontal scrolling and minimizing vertical scrolling. This method allows users to easily view the web page by converting into optimal reading style and layout and to easily seek the information just with zooming.

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Development System of Mimicking Image Classification for Newspaper Advertisements Database Construction (신문광고영상 데이터베이스구축을 위한 유사영상 분류 시스템)

  • Kim, Ki-Hyun;Kim, Kwang-Tae;Park, Hyun-Woo;Lee, Dong-Hoon;Yun, Tae-Soo
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.766-771
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    • 2008
  • In this paper, we propose a system of mimicking image classification for building database system. It better manages the format which recording the same advertisements multimedia in advertisements image. Recently, the work of converting database is made directly by the people. This work doses the media scanning, image editing and saving, and saving of advertising information (date, the media, the page and size, so far). Therefore, it is wasted a lot of time and manpower as inefficient business. To solve these problems, first of all we gain an image by digital camera, extract and classify candidate area of advertisements. Accordingly, our system saves database to comparison of the mimicking of all advertising and classify whether area of image is the new or existing advertising.

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