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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].
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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].
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].
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.
The causes for discrepancy remain unknown, but may be attributed to the higher percentage of patients with previous systemic treatment in our study (43.6 vs 1.3%) and/or a potential difference in how HBV- and HCV-related HCC respond to the arginine deprivation therapy.
Based on detailed spatial identification of locations of good or bad comparison the study showed how unsteady flow effects within street canyons are a major cause for discrepancies between numerical and experimental results.
The effect of psychotropic medication on grey matter though has been described as a possible cause for discrepancies in structural findings in bipolar patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com