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A lack of observed data can lead to significant discrepancy between estimated and actual fatigue reliability.
This could lead to significant discrepancy between energy production at the design stage and in operation of the facility.
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Moreover, irrespectively of the adopted wave theory, the structural nonlinear analyses lead to significant discrepancies from the linear ones.
Consequently, the approach adopted in this work where the fluid is considered inviscid and incompressible can lead to significant discrepancies in results [17].
However, most of these studies tend to adopt homogenous values of roughness coefficient over the study domain, and this could lead to significant discrepancies between the observed data and simulation results.
This is important because the lack of standard pelvic positioning during imaging can lead to significant discrepancies in the results of 2D image parameters.
With adequate sequencing effort, transcriptomes can provide the full-venom information of proteomics approaches as well as the information-dense gene sequences for molecular-evolutionary analyses [ 17], although post-transcriptional regulation could lead to significant discrepancies between venom content and expressed toxin mRNAs [ 18].
It could lead to significant reductions.
Failure can lead to significant delay.
They neglect can lead to a significant discrepancy of up to 40percentt between pre- and post-calculation and thus to a loss of the corporate added value.
This approach may lead to a significant discrepancy between model predictions and reality, since the (potential) influence of the background flora is neglected.
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CEO of Professional Science Editing for Scientists @ prosciediting.com