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As a proof-of-principle of this method, we tested it with recombinant antigen (human recombinant interleukin 8).
The method we tested is direct measurement of CO2 concentrations with a portable air-quality meter, which allows a large number of samples.
Using this method, we tested a total of 2 327 cattle from three dairy farms for the presence of BVDV persistently infected (PI) animals.
To validate the method, we tested it with the feature algorithm known as speeded up robust features (SURF), one of the most efficient approaches for feature extraction.
The method we tested is composed of six steps: stakeholder identification, building with them a common vision of the disease behaviour, collective scenario design, and discussion with stakeholders of model-based scenario evaluations.
Using this method, we tested available fluorescent particles from Chemicell of four sizes (100 nm, 300 nm, 500 nm, and 1 μm diameter) with four different coatings (starch, chitosan, lipid, and PEG/P) and quantified their motion through freshly excised rat liver, kidney, and brain tissues.
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In the second method, we test the plausibility of existing reconstructions by comparing their C∗ and C̃ against the modern minimum bounds.
Firstly, to evaluate the performance of the nose tip detection method, we test our method on the Bosphorus database.
After introducing the method, we test its performance on artificial benchmark graphs, comparing it with the performances of the best algorithms currently available.
To analyse the influence of the parameters of the proposed plane detection method, we test it with the first half of the packaging data set.
We concluded that RF was the most robust and flexible among the imputation methods we tested.
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CEO of Professional Science Editing for Scientists @ prosciediting.com