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  • 1
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Industrial & engineering chemistry research 34 (1995), S. 3678-3687 
    ISSN: 1520-5045
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1574-6941
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: The purpose of this study was to evaluate the influence of introduced bacteria containing a contaminant degrading plasmid on the growth and survival of pine seedlings and mycorrhizosphere microbial flora in contaminated soil. The Pseudomonas fluorescens strain OS81, originally isolated from fungal hyphae in contaminated soil, was supplied with the TOL plasmid pWW0::Km (to generate OS81(pWW0::Km)) and inoculated in humus-soil microcosms with and without pine seedlings mycorrhized with Suillus bovinus. After 3 months of regular treatment with m-toluate (mTA) solutions, the introduced catabolic plasmid was found to be disseminated in the indigenous bacterial population of both mycorrhizosphere and soil uncolonized by the fungus. Transconjugants were represented by bacteria of the genera Pseudomonas and Burkholderia and their number correlated positively with the concentration of mTA applied. Indigenous mTA degrading bacteria with low similarity to Burkholderia species were also enriched in microcosms. They were mostly associated with mycorrhizal soil or fungal structures and virtually absent in microcosms without pines. The total number of Tol+ bacteria was higher in mycorrhizospheric soil compared with bulk soil. Inoculation with P. fluorescens OS81(pWW0::Km) had a positive effect on the development of roots and fungus in contaminated soil. Both inoculation with the P. fluorescens OS81(pWW0::Km) and mTA contamination as well as the presence of mycorrhized pine roots and fungal hyphae had an effect on the microbial community structure of soil as measured by carbon source oxidation patterns. However, the impact of mTA on the microbial community was more prominent. The study indicates that an effect on plant and fungal development can be obtained by manipulating the mycorrhizosphere. Both introduction of the bacterium carrying the degradative plasmid and the plasmid itself are likely to have a positive effect not only on the organisms involved, but also on bioremediation of contaminated soil, a factor that was not directly monitored here.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Computational statistics 14 (1999), S. 375-395 
    ISSN: 1613-9658
    Keywords: Key words: MCMC, Adaptive MCMC, Metropolis-Hastings algorithm, convergence.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The choice of a suitable MCMC method and further the choice of a proposal distribution is known to be crucial for the convergence of the Markov chain. However, in many cases the choice of an effective proposal distribution is difficult. As a remedy we suggest a method called Adaptive Proposal (AP). Although the stationary distribution of the AP algorithm is slightly biased, it appears to provide an efficient tool for, e.g., reasonably low dimensional problems, as typically encountered in non-linear regression problems in natural sciences. As a realistic example we include a successful application of the AP algorithm in parameter estimation for the satellite instrument ‘GOMOS’. In this paper we also present systematic performance criteria for comparing Adaptive Proposal algorithm with more traditional Metropolis algorithms.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Microcolumn Separations 6 (1994), S. 595-604 
    ISSN: 1040-7685
    Keywords: capillary electrophoresis, electroosmosis, capillary length, optimization, desirability function, [Cu(NH3)4]2+ ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: The separation of diuretics in CZE can be further improved by controlling the capillary length and the analysis times independently, while other parameters are kept constant. This can be done by using a modifier in the electrolyte solution which has a strong effect on the electroosmosis, but negligible effect on the selectivity of the electrolyte system.In this work, [Cu(NH3)4]2+ was used at low concentration (0 - 140 μM) to control the electroosmotic flow velocity (veo) and hence the analysis time, determined as the migration time of the last migrating compound (tfin). With other parameters, especially V, kept constant, the use of shorter capillaries enables the use of high electric field strength for the separation.The use of quadratic regression models proved to be an effective way to study the effect of Ltot and tfin on the Rs of each analyte pair. The theoretical values for the separation of peak maxima correlated well with the values predicted by the empirical regression models. The actual band broadening was much stronger, however, than what was predicted by the overly simplified theoretical calculations based on the electrophoretic mobilities as well as the self diffusion coefficients of the diuretics, determined by the two marker technique. Further study is needed on theoretical modelling of the band broadening, while the use of regression models and desirability functions provided a convenient way to determine the optimal conditions.The results showed that independent control of Ltot and tfin offers an effective way to further optimize capillary electrophoretic separation. This method should prove important in cases where sufficient separation is difficult to achieve.
    Additional Material: 6 Ill.
    Type of Medium: Electronic Resource
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  • 5
    ISSN: 0173-0835
    Keywords: Micellar electrokinetic capillary chromatography ; Mixed micellar system ; Corticosteroids ; Optimization ; 1,3-Diaminopropane ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Selectivity and resolution were studied for the separation of seven corticosteroids by micellar electrokinetic capillary chromatography (MEKC) using a mixed micellar solution of sodium dodecyl sulfate (SDS) and sodium cholate (SC), buffered with 3-(N-morpholino)propanesulfonic acid (MOPS) or 3-[(1,1-dimethyl-2-hydroxyethyl)amino]-2-hydroxyoropane sulfonic acid (AMPSO). The changes in selectivity were compared for the AMPSO-SDS-SC system by varying the pH and the concentrations of AMPSO, SDS and SC. The experimental design started with the central composite design and continued in a sequential manner. The optimum selectivity for the separation of the corticosteroids was calculated from the analyte migration times and the analyte velocities, by using empirical quadratic regression models. Satisfactory regression fits and coefficients of determination for prediction were obtained with crossvalidated models. To optimize the resolution, the physical parameters of capillary length and analysis time were varied under the conditions optimal for the selectivity. In both the selectivity and the resolution, optimization the overall optimum was determined by using the desirability function technique. Analysis times were controlled by using 1,3-diaminopropane to influence the electroosmotic flow velocity (Veo). The voltage was kept constant, which resulted in higher electric field strength in shorter capillaries. No changes in the selectivity were observed when 1,3-diaminopropane was used to control the electroosmotic flow velocity. Such an optimization technique, where the chemical and physical factors affecting the separation are treated independently, seemed to be effective for finding the best possible resolution for the corticosteroids.
    Additional Material: 6 Ill.
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  • 6
    ISSN: 0173-0835
    Keywords: Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: The corticosteroids studied can be effectively separated by employing micellar electrokinetic capillary chromatography (MECC). The effect of pH, borate concentration and the sodium dodecyl sulfate (SDS) concentration on both the resolution and the selectivity was studied under 15 different experimental conditions. The experimental design was similar to the central composite design approach. Empirical quadratic regression models were derived for analyte migration time, band broadening and analyte velocity. Satisfactory regression fits and coefficients of determination for prediction were obtained with cross-validated models. The models for analyte migration time and analyte velocity were in good agreement with theory. Modeling of the band broadening seemed to be somewhat more complicated. Optimum conditions for resolution and selectivity were different. This is due to the fact that selectivity studies ignore the electroosmotic and band broadening properties of different electrolyte solutions. However, the study of the selectivity yielded good information about the suitability of the electrolyte systems for the particular separation problem. Although a high solubilizing power of SDS caused the corticosteroids to partition strongly into the SDS micelles, a good separation could be achieved at low SDS concentrations.
    Additional Material: 7 Ill.
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  • 7
    Publication Date: 2008-01-01
    Print ISSN: 0013-936X
    Electronic ISSN: 1520-5851
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
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  • 8
    Publication Date: 1997-12-01
    Print ISSN: 0888-5885
    Electronic ISSN: 1520-5045
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
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  • 9
    Publication Date: 2011-09-16
    Description: In the companion paper (Järvinen et al. , 2011. Q. J. R. Meteorol. Soc. DOI: 10.1002/qj.923) we suggested a concept to estimate numerical weather prediction model closure parameters on-line, coupled with an operational ensemble prediction system. In this paper, such a method is developed and demonstrated in low-order numerical tests. The method utilizes the massive amount of operational model predictions to make statistical inference about the underlying probability distributions of the closure parameters. This is achieved with practically no additional computations. The only required change to the ensemble prediction system is to allow perturbation of the model closure parameters for different ensemble members. Otherwise, the method is straightforward. The parametric uncertainty is presented using a hierarchical statistical model. Proposed parameter values are resampled based on their respective likelihood function values, as evaluated against verifying observations. Update formulas are used to feed back the parametric information to the evolving proposal distribution. The method for ensemble prediction and parameter estimation system (EPPES) is demonstrated using a stochastic version of the Lorenz-95 model. The numerical tests show that the EPPES method is capable of detecting unknown and wrongly specified parameter values, and lead to optimal forecast skill in an independent test run. Potential show-stoppers are discussed. Our current research is directed towards a realistic ensemble prediction system. Copyright © 2011 Royal Meteorological Society
    Print ISSN: 0035-9009
    Electronic ISSN: 1477-870X
    Topics: Geography , Physics
    Published by Wiley
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  • 10
    Publication Date: 2013-05-04
    Description: Parameterisation schemes of subgrid-scale physical processes in atmospheric models contain so-called closure parameters. Their precise values are not generally known; thus, they are subject to fine-tuning for achieving optimal model performance. In this article, we show that there is a dilemma concerning the optimal parameter values: an identical prediction model formulation can have two different optimal closure parameter value settings depending on the level of approximations made in the data assimilation component of the prediction system. This result tends to indicate that the prediction model re-tuning in large-scale systems is not only needed when the prediction model undergoes a major change, but also when the data assimilation component is updated. Moreover, we advocate an accurate albeit expensive method based on so-called filter likelihood for the closure parameter estimation that is applicable in fine-tuning of both prediction model and data assimilation system parameters. In this article, we use a modified Lorenz-95 system as a prediction model and extended Kalman filter and ensemble adjustment Kalman filter for data assimilation. With this setup, we can compute the filter likelihood for the chosen parameters using the output of the two versions of the Kalman filter and apply a Markov chain Monte Carlo algorithm to explore the parameter posterior distributions. Keywords: model tuning, Markov chain Monte Carlo, likelihood, filter formulation (Published: 3 May 2013) Citation: Tellus A 2013, 65 , 20147, http://dx.doi.org/10.3402/tellusa.v65i0.20147
    Print ISSN: 0280-6495
    Electronic ISSN: 1600-0870
    Topics: Geography , Geosciences , Physics
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