Sentence examples for errors which may lead from inspiring English sources

SVM has been used widely as a regression algorithm for both linear and nonlinear modeling but this approach neglects that the filter is derived by errors which may lead to a growth of the overall system errors.

The characteristics of each of these stages may prevent or predispose to potential errors, which may lead to patient harm.

The assembly of a single genome is already a difficult problem, complicated by repeats and sequencing errors which may lead to high fragmentation of contigs and misassembly.

As with unicompartmental knee replacement, surgeons who are unfamiliar with the procedure, or those undertaking a minimally invasive approach, may have a greater potential for technical errors, which may lead to a greater requirement for revision surgery compared to the more commonly undertaken conventional THA (Siebel et al. 2006, Morlock et al. 2008a).

While this change from six to four response options might intuitively lower the ability to capture functional changes in a patient, from the current evidence, however, keeping the six responses will give a false sense of precision and potentially increase the error in assessment, which may lead to a false sense of clinically meaningful improvement when it may not exist.

This leads to the following trade-off in fragment assembly: either error correction of reads is performed, which may lead to errors in the contigs, or error correction is not performed and the complex de Bruijn graph has to undergo aggressive simplification that may lead to errors in the contigs.

Thus, it was crucial to avoid the logical errors and idiosyncratic decisions, which may lead to inconsistencies and consequently would require backward-incompatible restructuring of the classification system and its application.

Self-reported physical activity measurements contain large measurement error [ 39, 40], which may lead to underestimate the effect of physical activity on AMI risk [ 41].

Obviously, this represents an error-prone and inefficient workflow, which may lead to data quality issues.

Measurements of soil thermal conductivity and moisture content are usually obtained separately by different sensors, which may lead to errors in measured thermal conductivity dryout curves (TCDCs).

We used the CFE technique to determine soil microbial biomass element ratios which, while commonly used, does have limitations which may lead to errors in microbial C, N and P estimation (as discussed by Jenkinson et al. (2004), Cleveland and Liptzin (2007)).