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Annealing, with the condition being determined by DSC, was used to improve the performance of these electrodes.
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Disc condition was determined using a four-point grading scale.
Milk production and composition, and body condition were determined weekly.
The buffer density and viscosity of each condition were determined using DMA 5000 densitometer (Anton Paar) and Lovis 2000M viscometer (Anton Paar), respectively.
For each gene, the median log2-fold change of its targeting sgRNAs between NB-598 and DMSO condition was determined to represent gene-level enrichment or depletion.
Results were analysed by ANOVA and the optimal condition was determined through response surface methodology.
The amount of optimum bitumen for each filler condition were determined by Marshall mix design method.
In the input stage, the multiple objectives, schedule planning and site condition are determined.
The optimal recovery condition was determined via orthogonal experiments using an OA9 34) design.
The EG enzyme activity in various condition was determined.
Again, this condition was determined from the experimental data collected.
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