We varied these costs to assess effects on the test results, and retained one set of costs maximizing the likelihood of cospeciation events inferred, and the other one minimizing the total number of events.
On average, these differences are modest, but extreme cases (up to 21.1%, while differences of 10% are very common) will have strong effects on the test-retest variability.
In another study, Aizdaicher and Markina (2006) evaluated the toxicity of two detergents and one anionic surfactant to an algal species (Plagioselmis prolonga) and also observed that the effects on the test organisms increased with increasing concentrations of these substances.
Biological evaluation indicated that the most active compound B9, containing 5- 4-hydroxyphenyl -3H-1,2-dithiole-3-thione moiety as H2S donor, had better analgesic activity and displayed more potent cytotoxic effects on the test cell lines than the lead compound CAP.
Furthermore, the toxins produced by A. tamarense showed different effects on the tested copepod species, resulting in different internal PST content and different levels of affections of the toxins between the copepod species.
To avoid subsequent fatigue effects on the test day results, this was undertaken 1 week prior to formal MVC testing.
The findings suggest that kelulut honey has different effects on the tested bacteria regardless of their species and survival abilities.
Overall, using this two-step screening method, we found that 98% of the compounds tested have no effects on the tested assays.
The experimental results show that three similar flavonoids (quercetin, JMY51, and JMY65) have similar inhibitory effects on the tested 32 kinases.
The two components of measurement error are systematic bias, e.g., learning or fatigue effects on the test, and random error due to inherent subject or instrument variation [ 13].
