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Spectral mixing models were learned from the training dataset and were used to regularize the image local smoothness.
Validations of the proposed model, as well as several existing mixing models were conducted against the experimental data of H2/CO premixed flames reported in the literature.
Large isotopic differences were identified between two closely related rotifer species and three-source mixing models were established to evaluate whether such differences were due to the assimilation of different food sources.
Two mixing models were used in conjunction with GRG non-linear and Evolutionary optimization methods for comparison.
Mixing models were calculated for four samples from the PSW using TracerLPM (Jurgens et al. 2012).
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The Wiener filter method for instantaneous mixing models is described below.
Two mechanistic mixing models are evaluated: the segregated feed model and the engulfment model (E-model) with mesomixing.
By comparison with experimental data, the superior performance of a new model over existing molecular mixing models is demonstrated.
Quantitative geochemical fingerprinting techniques and a mixing model were employed to estimate the relative contributions of sediment from the five sources to the suspended sediment loads.
Linear Mixed Models were used to test for dependent variable PTE with independent variables.
Finally, three different skill mix models were used to assess differences in workforce requirements when some prosthodontic procedures were delegated.
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Justyna Jupowicz-Kozak
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