• Title/Summary/Keyword: p-conjugate.

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Spectrofluometry of sulfonamides using fluorescamine (Fluorescamine을 이용한 sulfonamide의 형광 분석법)

  • Lim, Jae-young;Han, Su-nam;Lee, Mun-han;Park, Jong-myung
    • Korean Journal of Veterinary Research
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    • v.30 no.1
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    • pp.41-49
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    • 1990
  • These experiments were carried out to develop a novel, simple, and rapid method to determine urinary sulfonamides using fluorescamine by spectrofluorometry. To get optimal conditions for the sulfonamide-fluorescamine reaction, sulfonamides such as sulfamethazine, sulfamerazine, sulfadimethoxine and sulfamonomethoxine, dissolved in buffers with various pH ranges were reacted with various concentrations of fluorescamine. and then, the fluorescence intensity and stability of the fluorophore were measured. To eliminate the interfering substances in urine, the fluorophore in buffers and urine with a definite pH range was extracted with some organic solvents. After then the fluorescence intensity was measured in organic and aquous phases. The results obtained were summarized as follows: 1. The maximal fluorescence of sulfonamides was presented in acidic state, pH 4.5~5.0, at 30 minutes after reaction. 2. The optimal concentration ratio of sulfamethazine and ffuorescamine was more than 1 : 40 in mole. 3. In pH 4.0, the intensity was maximal but was time-dependent, whereas in pH 8.0, the intensity was time-independent. 4. Sulfamethazine-fluorescamine conjugate could be dissolved in some of organic solvents in acidic state such as chloroform, n-butanol, and ethylacetate. 5. Sulfamethazine-flnorescamine conjugate in swine urine coule be extracted with ethylacetate in acidic state, pH 4.0~5.0.

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The Evolving Epidemiology of Serotype Distribution and Antimicrobial Resistance of Streptococcus pneumoniae Strains Isolated from Adults in Crete, Greece, 2009-2016

  • Maraki, Sofia;Mavromanolaki, Viktoria Eirini;Stafylaki, Dimitra;Hamilos, George;Samonis, George
    • Infection and chemotherapy
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    • v.50 no.4
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    • pp.328-339
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    • 2018
  • Background: Pneumococcal disease is a major cause of morbidity and mortality worldwide, especially in patients with comorbidities and advanced age. This study evaluated trends in epidemiology of adult pneumococcal disease in Crete, Greece, by identifying serotype distribution and antimicrobial resistance of consecutive Streptococcus pneumoniae strains isolated from adults during an 8-year time period (2009-2016) and the indirect effect of the infant pneumococcal higher-valent conjugate vaccines 10-valent pneumococcal conjugate vaccine (PCV10) and 13-valent pneumococcal conjugate vaccine (PCV13). Materials and Methods: Antimicrobial susceptibility was performed by E-test and serotyping by Quellung reaction. Multidrug resistance (MDR) was defined as non-susceptibility to penicillin (PNSP) combined with resistance to ${\geq}2$ non-${\beta}$-lactam antimicrobials. Results: A total of 135 S. pneumoniae strains were isolated from adults during the study period. Twenty-one serotypes were identified with 17F, 15A, 3, 19A, and 11A, being the most common. The coverage rates of PCV10, and PCV13 were 17.8% and 37.8%, respectively. PCV13 serotypes decreased significantly from 68.4% in 2009 to 8.3% in 2016 (P = 0.002). The most important emerging non-PCV13 serotypes were 17F, 15A, and 11A, with 15A being strongly associated with antimicrobial resistance and MDR. Among all study isolates, penicillin-resistant and MDR strains represented 7.4% and 14.1%, respectively. Predominant PNSP serotypes were 19A (21.7%), 11A (17.4%), and 15A (17.4%). Erythromycin, clindamycin, tetracycline, trimethoprim-sulfamethoxazole, and levofloxacin resistant rates were 30.4%, 15.6%, 16.3%, 16.3%, and 1.5%, respectively. Conclusion: Although pneumococcal disease continues to be a health burden in adults in Crete, our study reveals a herd protection effect of the infant pneumococcal higher-valent conjugate vaccination. Surveillance of changes in serotype distribution and antimicrobial resistance among pneumococcal isolates are necessary to guide optimal prevention and treatment strategies.

Neural network based model for seismic assessment of existing RC buildings

  • Caglar, Naci;Garip, Zehra Sule
    • Computers and Concrete
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    • v.12 no.2
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    • pp.229-241
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    • 2013
  • The objective of this study is to reveal the sufficiency of neural networks (NN) as a securer, quicker, more robust and reliable method to be used in seismic assessment of existing reinforced concrete buildings. The NN based approach is applied as an alternative method to determine the seismic performance of each existing RC buildings, in terms of damage level. In the application of the NN, a multilayer perceptron (MLP) with a back-propagation (BP) algorithm is employed using a scaled conjugate gradient. NN based model wasd eveloped, trained and tested through a based MATLAB program. The database of this model was developed by using a statistical procedure called P25 method. The NN based model was also proved by verification set constituting of real existing RC buildings exposed to 2003 Bingol earthquake. It is demonstrated that the NN based approach is highly successful and can be used as an alternative method to determine the seismic performance of each existing RC buildings.

A Study on GPU Computing of Bi-conjugate Gradient Method for Finite Element Analysis of the Incompressible Navier-Stokes Equations (유한요소 비압축성 유동장 해석을 위한 이중공액구배법의 GPU 기반 연산에 대한 연구)

  • Yoon, Jong Seon;Jeon, Byoung Jin;Jung, Hye Dong;Choi, Hyoung Gwon
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.40 no.9
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    • pp.597-604
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    • 2016
  • A parallel algorithm of bi-conjugate gradient method was developed based on CUDA for parallel computation of the incompressible Navier-Stokes equations. The governing equations were discretized using splitting P2P1 finite element method. Asymmetric stenotic flow problem was solved to validate the proposed algorithm, and then the parallel performance of the GPU was examined by measuring the elapsed times. Further, the GPU performance for sparse matrix-vector multiplication was also investigated with a matrix of fluid-structure interaction problem. A kernel was generated to simultaneously compute the inner product of each row of sparse matrix and a vector. In addition, the kernel was optimized to improve the performance by using both parallel reduction and memory coalescing. In the kernel construction, the effect of warp on the parallel performance of the present CUDA was also examined. The present GPU computation was more than 7 times faster than the single CPU by double precision.

A Study for Improving Computational Efficiency in Method of Moments with Loop-Star Basis Functions and Preconditioner (루프-스타(Loop-Star) 기저 함수와 전제 조건(Preconditioner)을 이용한 모멘트법의 계산 효율 향상에 대한 연구)

  • Yeom, Jae-Hyun;Park, Hyeon-Gyu;Lee, Hyun-Suck;Chin, Hui-Cheol;Kim, Hyo-Tae;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.2
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    • pp.169-176
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    • 2012
  • This paper uses loop-star basis functions to overcome the low frequency breakdown problem in method of moments (MoM) based on electric field integral equation(EFIE). In addition, p-Type Multiplicative Schwarz preconditioner (p-MUS) technique is employed to reduce the number of iterations required for the conjugate gradient method(CGM). Low frequency instability with Rao Wilton Glisson(RWG) basis functions in EFIE can be resolved using loop-start basis functions and frequency normalized techniques. However, loop-star basis functions, consisting of irrotational and solenoidal components of RWG basis functions, require a large number of iterations to calculate a solution through iterative methods, such as conjugate gradient method(CGM), due to high condition number. To circumvent this problem, in this paper, the pMUS preconditioner technique is proposed to reduce the number of iterations in CGM. Simulation results show that pMUS preconditioner is much faster than block diagonal preconditioner(BDP) when the sparsity of pMUS is the same as that of BDP.

Optimalization of ELISA using Recombinant p27 Protein of SIV for Detection of Anti-SIV (SIV의 p27 재조합 단백질을 이용한 SIV 항체 검출을 위한 ELISA의 최적 조건)

  • Kim, Eun-ok;Kim, Eun;Oh, Yoon-i;Shin, Kwang-soon;Kim, Hyun-soo;Kim, Chul-joong
    • Korean Journal of Veterinary Research
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    • v.42 no.1
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    • pp.101-108
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    • 2002
  • The p27 coding region of the SIVmac239 isolate was amplified by PCR and cloned into an expression vector, pMAL-cri, which expressed high levels of the p27 protein from Escherichia coli. The purified p27 protein was used for detection of anti-SIV antibodies with the sera from 11 macaques and 21 marmosets by immunoblot assay of which one macaque was suspicious for the SIV infection. The optimum conditions of ELISA was studied by the check board system with the recombinant purified p27 protein. For the plate coating, 200ng/well of the purified p27 was satisfactory. The conjugate was diluted 1:1000. The sera from the 32 monkeys were negative for the anti-SIV by ELISA.

Synthesis and Characterization of the Tumor Targeting Mitoxantrone-Insulin Conjugate

  • Liu, Wen-Sheng;Yuan-Huang;Zhang, Zhi-Rong
    • Archives of Pharmacal Research
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    • v.26 no.11
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    • pp.892-897
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    • 2003
  • Anticancer drugs have serious side effects arising from their poor malignant cells selectivity, Since insulin receptors highly express on the cytomembrane of some kind of tumor cells, using insulin as the vector was expected to reduce serious side effects of the drugs. The objective of this study was to evaluate the tumor targeting effect of the newly synthesized mitoxantrone-insulin conjugate (MIT-INS) with the drug loading of 11.68%. In vitro stability trials showed MIT-INS were stable in buffers with different pH (2-8) at $37^{\circ}C$ within 120 h (less than 3% of free MIT released), and were also stable in mouse plasma within 48 h (less than 1 % of free MIT released). In vivo study on tumor-bearing mice showed that, compared with MIT [75.92 $\mu g \cdot$ h/g of the area under the concentration-time curve (AUC) and 86.85 h of mean residence time (MRT)], the conjugates had better tumor-targeting efficiency with enhanced tumor AUC of 126.53 1l9 h/g and MTR of 151.95 h. The conjugate had much lower toxicity to most other tissues with targeting indexes ($TI^c$) no larger than 0.3 besides good tumor targeting efficiency with $TI^c$ of 1.67. The results suggest the feasibility to promote the curative effect in ca.ncer chemotherapy by using insulin as the vector of anti-cancer drugs.

Architectural Analysis of Type-2 Interval pRBF Neural Networks Using Space Search Evolutionary Algorithm (공간탐색 진화알고리즘을 이용한 Interval Type-2 pRBF 뉴럴 네트워크의 구조적 해석)

  • Oh, Sung-Kwun;Kim, Wook-Dong;Park, Ho-Sung;Lee, Young-Il
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.1
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    • pp.12-18
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    • 2011
  • In this paper, we proposed Interval Type-2 polynomial Radial Basis Function Neural Networks. In the receptive filed of hidden layer, Interval Type-2 fuzzy set is used. The characteristic of Interval Type-2 fuzzy set has Footprint Of Uncertainly(FOU), which denotes a certain level of robustness in the presence of un-known information when compared with the type-1 fuzzy set. In order to improve the performance of proposed model, we used the linear polynomial function as connection weight of network. The parameters such as center values of receptive field, constant deviation, and connection weight between hidden layer and output layer are optimized by Conjugate Gradient Method(CGM) and Space Search Evolutionary Algorithm(SSEA). The proposed model is applied to gas furnace dataset and its result are compared with those reported in the previous studies.

CONJUGACY CLASSES OF SUBGROUPS OF SPLIT METACYCLIC GROUPS OF PRIME POWER ORDER

  • Sim, Hyo-Seob
    • Bulletin of the Korean Mathematical Society
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    • v.35 no.4
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    • pp.719-726
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    • 1998
  • In this paper, we consider conjugacy of subgroups of some split metacyclic groups of odd prime power order to determine the numbers of conjugacy classes of subgroups of those groups. The study was motivated by the linear isomorphism problem of metacyclic primitive linear groups.

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