Sentence examples for causes for discrepancy from inspiring English sources
Causes for discrepancy in bridge responses to seismic motions between the designed and the observed are disclosed by means of comparative study of models based on different scenarios.
It is also shown how aggregated end-use methods such as CIBSE TM22 can be used to define system level benchmarks, and identify the root causes for discrepancy between measured performance and design intent in a systematic way.
This study provides insight into limitations and challenges for data quality in primary care EMR data and case definitions and further analyzed underlying causes for discrepancy.
Sepsis/septic shock-related microvascular changes and the lack of inclusion of end-stage heart failure patients in our study are probably causes for discrepancy between the results of our study and the study performed by Nanas and colleagues [ 11].
While the performance of computer based algorithms are limited to the CPCSSN algorithms used on MaPCReN data, the analysis of the underlying causes for discrepancy sheds light on key factors which may be generalized to other Primary Care EMR based databases around the globe.
Two other possible causes for discrepancy exist: intraobserver error, due to subjectivity of the IHC interpretation; and qRT-PCR analysis, which can cause discrepancies particularly in the initial cycles, which depend not only on the melting temperature of the amplicon, but also on the behavior of the genomic vicinity of the amplicon [ 42, 43].
Various causes for discrepancies and errors in the permeability thus determined are studied and finally a design for the experimental conditions and an experimental protocol is developed to minimise sources of errors.
The summed discrepancy across all trade partners is an imperfect measure of smuggling activity in that it also captures several legitimate causes for discrepancies including lags between exports and imports, valuation differences due to the inclusion or exclusion of freight and insurance costs, changes in exchange rates, and misreporting of origin where transshipment takes place [ 13, 14].
This would be another cause for discrepancy between photometric and EISCAT values; the Hall conductivities would be underestimated.
Since, for the calculation of ByteHrs, the time of the checkpoint is decided randomly by Amazon within the 00 00 00Z and 23:59:59Z time interval, the time used at the consumer's side need not match that at the provider's side: a potential cause for discrepancy.
