In the paper, conditions for global stability of the neural network considered are derived using the Lyapunov's second method.
The range of parameter that was considered was derived from the analysis of experimental results in E. coli [18], [28] [32].
Estimates for 1,000 data sets generated in each of the 8 scenarios considered were derived using the 2SLS, likelihood-based, and regression-based methods.
The second topology considered was derived from a partitioned-model maximum likelihood search using the program RAxML-VI-HPC 2.2.3 [ 93].
A mathematical model of the relationship between the environmental and operational factors considered was then derived from the data.
The physicochemical properties considered are directly derived from the peptide sequence and comprise a complete set of parameters that accurately describe AMPs.
Increased NO generation during HFD conditions in our study is considered to be derived from iNOS, because iNOS knockout mice did not show any increase in NO metabolites during HFD conditions.
Mutations that occurred more than once in the same animal were considered to be derived from clonal expansion (see glossary) from a single 'independent' event.
A closed-form solution of the transient temperature is derived, considering the inhomogeneous boundary conditions.
Using dual quaternion, the dimensionless relative coupled dynamical model is derived considering computation efficiency and accuracy.
