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The classical technique of Laplace inversion with large or small values of time is used, which enables us to obtain the general asymptotic expressions of the leading order terms of temperature, species concentration, and flame radius.
A binary indexed tree data structure is used, which enables efficient feasibility checking and updating of solutions in these neighborhoods.
Furthermore, the "p.mapper" front-end application developed in JavaScript and PHP/Mapscript was used, which enables a user-friendly interface to MapServer to be performed.
To overcome this limitation, the CUDA parallel computing platform was used which enables general purpose programming of NVIDIA graphics processing units (GPUs) to perform computations traditionally handled by the central processing unit (CPU).
In order to ensure more completeness of the knowledge and explain the mechanism of inference, the KBANN (Knowledge Based Artificial Neural Network) algorithm was used, which enables extracting rules that are not a part of the original state of knowledge using trained neural networks.
In addition, a logarithmic gridding has been used which enables tracking fluid flow around the wells more accurately.
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All antecedents and controls were updated each year, and lagged values (for t − 1, except where noted) were used, which enabled us to rule out reverse causality.
For this study, data from the baseline measurement were used, which enabled us to use the entire study population and thereby increase power.
For further analyses on coding SNPs of special interest, the tool NGS-SNP was used, which enabled us to add meta-information about conservation between orthologous sequences (Grant et al. 2011).
A differential scanning calorimeter (DSC) was used, which enabled the relaxation enthalpy, the glass transition temperature (Tg) and the relaxation peak temperature to be found.
Microcosms were used which enabled the 14C-labelled naphthalene associated residues to be quantified, including plant lipids which acted as an additional naphthalene sink within the microcosms.
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