Sentence examples for processing variations from inspiring English sources
Possibilities for flexible alloy design and processing variations are discussed.
Directly characterizing interior structures of these fibers is vital for connecting processing variations with resulting mechanical properties.
The guarantee Vpt < Vbr and Vbr − Vpt should have a safety margin for processing variations in temperature fluctuations and operation range.
As expected, the unnormalized data showed additional significant correlations, which may be due to variations in the efficiency of the reverse transcriptase or other processing variations.
FISH analysis is unaffected by the (unavoidable) admixture of normal cells to cancer tissues and FISH results are not altered by tissue processing variations.
To optimize utilization of alternatively grown wheat for human consumption, it is necessary to understand the effects of crop and processing variation on the sensory qualities of the final product.
What is surprising, though, is that the distortions produced by the processing variation between central and peripheral vision often go unnoticed: our perceptual world appears as a seamless visual space composed from different views of the high-resolution portions of the image (for instance, when we look at a large object, we don't perceive the object as blurry at the edges) [10].
Selecting biomarkers resistant to sample processing variation led to robust lung cancer biomarkers that performed consistently in independent validations.
As with other studies, ours is limited by the samples that were used in the evaluation of processing variation.
Acknowledgement and identification of the propensity for processing variation can be used to maximise the efficacy of batch-correction methods through a more informed design of the hybridisation-plan that includes, for example, randomisation and/or blocking of samples.
Choosing biomarkers with not just the best case/control discrimination but that are also resistant to sample processing variation increases the likelihood that a robust biomarker panel will consistently perform well in the intended clinical setting.
