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The theoretical concept of a telemedicine-based peer review represents a cycle of actions that may be presented as a chain: "discrepancies evaluation – routine support – quality improvement activity – discrepancies evaluation".
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P < 0.0001, Table 2) [ 26]. * Serrano and Carbajal not included in the analysis N1 N5 = First to fifth nymphal stages; A = Adults; PCR = Polymerase Chain Reaction; Discrepancy = PCR positive and Microscopy negative; NA = Non applicable ** P-value = Probability that the differences in infection rates between techniques is due to chance The degree of agreement was moderately high at 75.36%.
The conception of the system for quality management in radiology represents a chain of actions: "discrepancies evaluation – routine support – quality improvement activity – discrepancies evaluation".
For all PhyloBayes analyses, we ran two chains with an automatic stopping option set to end the chain when all discrepancies were lower than 0.3 and all effective sizes were larger than 100.
At the same cooling rates (0.1 °C/min), considerable differences were found for samples with low levels of short chain branching although the discrepancy became less significant with increasing branching.
Bayesian phylogenies were also generated from protein sequences using PhyloBayes, with two chains being used with the automatic stopping rule set to terminate the analysis when bpcomp and tracecomp indicated that discrepancies between the chains was equal to or below 0.2 and all effective sizes were greater than 100.
The structural comparison with the recently published 3.5 Å model shows major discrepancies, both in the main chain tracing and in the side chain assignment of the two terminal domains R1 and R2.
Positive specimens are confirmed by the Western blot method and by HIV RNA polymerase chain reaction (PCR) in the event of discrepancies.
Recently, typing by "polymerase chain reaction" showed a significant number of discrepancies: prevalence of HPV in keratinizing SCC is observed up to 49.1% [ 57].
Assigning higher atomic temperature factors to side chains with weak density may accommodate these discrepancies, but we did not explore this in our model refinement.
We stopped the chains when the largest discrepancy across bipartitions reached 0.15 in PhyloBayes.
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