996 resultados para Numerical Range
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This study utilised recent developments in forensic aromatic hydrocarbon fingerprint analysis to characterise and identify specific biogenic, pyrogenic and petrogenic contamination. The fingerprinting and data interpretation techniques discussed include the recognition of: The distribution patterns of hydrocarbons (alkylated naphthalene, phenanthrene, dibenzothiophene, fluorene, chrysene and phenol isomers), • Analysis of “source-specific marker” compounds (individual saturated hydrocarbons, including n-alkanes (n-C5 through 0-C40) • Selected benzene, toluene, ethylbenzene and xylene isomers (BTEX), • The recalcitrant isoprenoids; pristane and phytane and • The determination of diagnostic ratios of specific petroleum / non-petroleum constituents, and the application of various statistical and numerical analysis tools. An unknown sample from the Irish Environmental Protection Agency (EPA) for origin characterisation was subjected to analysis by gas chromatography utilising both flame ionisation and mass spectral detection techniques in comparison to known reference materials. The percentage of the individual Polycyclic Aromatic Hydrocarbons (PAIIs) and biomarker concentrations in the unknown sample were normalised to the sum of the analytes and the results were compared with the corresponding results with a range of reference materials. In addition, to the determination of conventional diagnostic PAH and biomarker ratios, a number of “source-specific markers” isomeric PAHs within the same alkylation levels were determined, and their relative abundance ratios were computed in order to definitively identify and differentiate the various sources. Statistical logarithmic star plots were generated from both sets of data to give a pictorial representation of the comparison between the unknown sample and reference products. The study successfully characterised the unknown sample as being contaminated with a “coal tar” and clearly demonstrates the future role of compound ratio analysis (CORAT) in the identification of possible source contaminants.
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This project explored the possibility of harvesting marketable foliage stems in addition to producing timber from plantations of Larix leptolepis, Cupressus macrocarpa ‘Goldcrest’ and Tsuga heterophylla. Data recorded from trial sites included both growth parameters, in the form of height and diameter increments, and production parameters in the form of foliage stem yields. Results varied with species and site type. In many cases, results achieved appear to have been influenced more by the biology of the trees than by the treatments alone. Trials were also established to investigate methods of managing old or over grown Abies procera Christmas tree plantations for forest foliage production. Shelf life testing and market research into the domestic trade of forest foliage were also conducted over the course of the project. Recommendations for managing forest plantations for foliage production as well as a general discussion on the industry are presented in this report.
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Magdeburg, Univ., Fak. für Maschinenbau, Diss., 2011
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Scheduling, job shop, uncertainty, mixed (disjunctive) graph, stability analysis
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Multiphase flows, hyperbolic model, Godunov method, nozzle flow, nonstrictly hyperbolic
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Electrokinetic transport, electrochromatography, electroosmotic flow, electrophoresis, concentration polarization, fixed beds, monoliths, dynamic NMR microscopy, quantitative confocal laser scanning microscopy, mathematical modelling, numerical analysis
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Microstrip antenna, Wideband antennas, high gain antennas, Microstrip filters, DGS filters , low-pass filter, band-pass filter
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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2012
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2006
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Magdeburg, Univ., Diss., 2007 (Nicht für den Austausch)
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Fluidized beds, granulation, heat and mass transfer, calcium dynamics, stochastic process, finite element methods, Rosenbrock methods, multigrid methods, parallelization
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2006
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2009
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2010
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2010