A central question in evolutionary developmental biology is how genetic diversity and complexity have contributed to the origin and the remarkable diversification of the animal body plan.
Mathematical modelling provides tools to explicitly represent the variability, interconnectedness, and complexity of systems, and has contributed to numerous insights and theoretical advances in disease transmission, as well as to changes in public policy, health practice, and management.
Although, based on the TI/DI values, the new countries appear to be insignificant transgressors, their appearance has contributed to the complexity of global food alerts.
The lack of consensus on how to implement advanced nursing roles has contributed to the complexity in establishing best practices for their implementation [ 2, 7].
The complexity of performance measurement in healthcare has contributed to the widespread use of frameworks such as the Balanced Scorecard, which emphasize the importance of both financial and non-financial indicators [ 59, 60].
Consequently, the complexity of the genetic architecture that has contributed to the phenotypic evolution would remain unknown and, furthermore, as the effect of this locus is entirely dependent on its context, this could be a problem in future efforts to clone the underlying gene or use it, for example, in marker-assisted selection.
The complexity and recalcitrance of plant cell walls has contributed to the success of plants colonising land.
The energy landscape approach has contributed to recent progress in understanding the complexity and simplicity of ligand macromolecule interactions.
The increasing interconnection and complexity of modern power systems has made them more vulnerable to wide area disturbances and this has contributed to several recent blackouts.
Even Peter Munro has contributed.
