We developed three predictions to explore this hypothesis: (1) refuge sharing would occur more frequently than expected by chance; (2) refuge sharing frequencies while inactive and social association frequencies while active would be positively correlated; and (3) social association strengths of active lizards would be lower than social association strengths of inactive refuge sharing lizards.
In this work we combine molecular evolution analyses with crystallographic and secondary structure prediction analyses to explore how mitochondrial genetic variation may be linked to the diverse metabolic patterns of 41 mammalian species (Table 2) from each of the four major clades of the placental mammals.
Tests to evaluate the accuracy of predictions and to explore biases caused by biological and technical factors are therefore required.
Response surface predictions were developed to explore the integrated and feasible operating space.
Such predictions are needed to explore the implications of alternative hypotheses, anticipate the outcomes of possible experimental designs, and provide decision support to ecosystem managers.
This type of extension of regulatory network prediction is very useful to explore organisms for which a significant amount of data is available.
The model predictions are then used to explore the physical mechanisms associated with the various dips on the STL versus frequency curve, including the equivalent 'mass-spring' resonance, the standing-wave resonance and the panel modal resonance.
Therefore, our study is not intended nor suited to make quantitative predictions, but it serves to explore how the public and individual interests are shaped by pathogen transmissibility, cost of antiviral treatment, and antiviral efficacy for susceptibility and infectiousness.
Inclusion of TM-prediction options adds flexibility to explore beyond just 7TM proteins.
The aims of this study were to assess the advantage of using spatial models for the predictive abilities of genomic prediction, to identify suitable procedures to analyse a MET weakly connected across years using different stage-wise approaches, and to explore genomic prediction as a tool for selection of models for phenotypic data analysis.
UIGEA provided them some legal cover to explore paid prediction games, as long as those games didn't hinge on the outcome of any individual sporting contest or on the performance of an individual athlete — potentially corrupting scenarios, given the incentive for tampering.
