Sentence examples for using an optimal mixture from inspiring English sources

Exact(1)

Treating Caco-2 cells with both IFN-γ and PMA using an optimal mixture of 8000 U/ml IFN-γ and 0.1 μg/ml of PMA resulted in a synergistic induction of NO synthesis.

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Based on those estimates each desired speech signal is extracted from the speech mixture using an optimal beamforming technique.

In order to extract five phthalate esters and di 2-ethylhexyl) adi 2-ethylhexylferent poladipate from aqueous samples, a simplex centroid experimental design method withusedifferentct an opolaritiesture ofromrnaqueousventsamples to gasimplexatographyflame ionization detecentroid

Electrochemical studies by using a D-optimal mixture design in Design-Expert software revealed an optimized composition of 60% graphite, 14.2% paraffin, 10.8% MWCNT and 15% IL.

Uniaxially oriented membranes swollen with such an optimal mixture were found to relax back to an almost isotropic state, which could not be achieved by using water alone.

Using a D-optimal mixture design, plant-derived soft gel film sheets were prepared and optimized by varying their composition, including variations in the mass of κ-carrageenan, ι-carrageenan, oxidized starch and heat-treated starch.

But the warming of the bay region has melted sea ice and provided an optimal mixture of ice and open water.

The L-SNEDDS were systematically optimized using optimal mixture design, evaluated for emulsification time, globule size and in vitro drug release.

Time courses of the reactions showed that when using the optimal mixture of lipases, the yields were higher than those obtained using only one of the enzymes, approximately 15% higher than using only TLL and more than twice than using only RML.

Under optimal transfection conditions using an equimolar mixture of three RNA species (A, B, and C) and SureFect transfection reagent (SA Biosciences/Qiagen), AHR expression was suppressed as determined by loss of CYP1A1 induction (Fig. 7D) and loss of AHR expression by flow cytometric analysis (Fig. 7E).

These evidence values are further analyzed using an unsupervised mixture model approach to determine an optimal prediction threshold for filtering of false positives.

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