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This mixture was generated by passing He (40 mL min−1) through a saturator with H2O at 293 K.
Briefly, ABTS radical cation (ABTS+) mixture was generated by the oxidation of 7 mM ABTS (Sigma-Aldrich Pte-Ltd, Singapore) with 140 mM potassium persulphate (Sigma-Aldrich Pte-Ltd, Singapore), incubated for 16 h at room temperature in the dark.
(43) Due to the wide disparity of CoA thioesters concentrations in treated compared to untreated cells, an optimal "customized" internal standard mixture was generated by combining the CoA extracts from untreated SILEC cells and an equal number of propionate-treated SILEC cells.
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These results suggest that the nanopore blocks observed in the substrate/toxin mixture are generated by the short C-terminal digestion peptide Lp-Sb2 77-93 d.
As stated by the authors, the test set of mixtures was generated using the Sphere exclusion method.
The simulated mixtures were generated by convoluting the impulse responses measured in the rooms.
The mist/dust/air multiphase mixtures were generated by injecting liquid/dust samples into the experimental tube.
Firstly, multiple droplets containing the same target mixtures are generated in the microchannel, and then fused with later generated different droplets containing corresponding probes, respectively.
Speech mixtures were generated from a convolution of clean speech sources in TIMIT database with real acoustic impulse responses measured in a room of reverberation time second [18].
Speech mixtures were generated by convolving TIMIT speech sources with acoustic path impulse responses measured in a real room with reverberation time second.
Then, the mixtures are generated using the noisy model y=Φx+w, where w is an additive white Gaussian noise with covariance matrix σ w Ι M (I M stands for the M × M identity matrix).
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