Statistically significant BMLR-QSAR model describes the bio-properties, validates the observed biological observations and identifies the most important parameters governing bio-activity.
For the risk assessment point of view, the reproducibility of the effects displaying NMDR profiles should be taken into account because it supports the validity of an observed relationship, and improves the confidence in the biological observations reported.
The parameters of the model are computed using model checking technique based on the biological observations (see "Methods").
Specifically, students were given evidences (biological observations) explained by evolution and were exposed to a variety of evidences such as morphological similarities across organisms, vestigial traits, fossils, a common genetic code, phylogenetics, etc.
In the past, several successful methods were designed with varying degrees of correspondence with biological vision studies, ranging from purely functional inspiration to methods that utilise models that were primarily developed for explaining biological observations.
In this paper we present an alternative approach permitting to accurately identify tidal levels with a precision suitable for civil engineering applications based on biological observations on rocky shores, including breakwaters and quays.
The overall picture is quite consistent with our biological observations.
We note two fundamental biological observations from our work.
Therefore, cancer studies that are only conducted in ambient (21%) O2 may miss pertinent biological observations.
The model prediction coincided well with the biological observations confirming the validity of the model.
However, most of the biological observations held up under either model and have been made in other allopolyploid studies.
