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Structural studies were performed by X-ray absorption spectroscopy for materials that showed best performance in the oxidative dehydrogenation reaction.
Results showed best performance at PVC = 36.5%.
SSIs that incorporate 701 nm with 511 or 605 nm showed best performance in chlorophyll determination.
The Al2O3 H2O nanofluid (0.9 vol.%) showed best performance with the temperature difference of 1.6 °C and lowest thermal resistance of 0.13 °C/W·m2.
Cylindrical shape nanoparticles showed best performance in respect to overall heat transfer coefficient and heat transfer rate among the other shapes for different baffle angles along with segmental baffle.
Three SPME fibers (65-μm PDMS-DVB, 75-μm Carboxen-PDMS, and 70-μm Carbowax-stableflex) designed for automated injection were used of which the latter showed best performance.
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During optimisation ANN GA is found to show best performance with absolute percentage error of only 0.09% during experimental validation.
The QC-LDPC codes also show best performance for d=0.4.
Again, the advanced correction shows best performance.
Different values in the range from 0.000 to 0.050 with a step size of 0.001 have been tested for β, showing best performance with β = 0.009.
In our analysis we noticed that SeAMotE and DREME show best performances in finding discriminative motifs, followed by DECOD and XXmotif.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com