This architecture is appropriate for complex environments, which are characterized by variable signal-to-noise ratios, unpredictable source behaviors, and the simultaneous occurrence of objects whose signal signatures can distort each other.
The final models were estimated using the STATA 8.0 (College Station, TX) svypoisson command (log-linear model), which is appropriate for complex survey estimation.
Cost-consequence analysis provides a more comprehensive presentation of information than other types of economic evaluation and is appropriate for complex interventions that generate outcomes that cannot meaningfully be expressed using a single metric such as those in this study.
Cost-outcomes analysis provides a more comprehensive presentation of information than other types of economic evaluation and is appropriate for complex interventions that generate outcomes that cannot meaningfully be expressed using a single metric such as those in this study.
Whereas we argued above that theory-driven evaluation designs are appropriate for complexity, the very complex nature of the programmes stands in the way of an easy assessment of effectiveness and of underlying mechanisms: the outcomes of complex interventions can be attributed to a number of determinants, only some of which are influenced by the intervention.
The application of metagenomics in agriculture also proved to be appropriate for depicting the complex patterns of interactions occurring among microorganisms in soil [44] and in plant rhizosphere [45], as well as in specific tissues or organs [6, 46, 47].
It is too early to say which viewpoint will be appropriate for most common complex traits, although an epistatic model might be judged rather more plausible in most cases and this would favour the more sceptical view.
This paper investigated the almost sure synchronization control other than synchronization in mean square of complex networks, and the obtained results may be appropriate for the synchronization of complex networks with the target node unknown.
The approach proved to be appropriate for environmental evaluation of complex agri-environment systems and can complement any evaluation conducted under the Common Monitoring and Evaluation Framework.
Most research and clinical practice are based on a single disease paradigm, which may not be appropriate for patients with multiple complex health problems [ 33, 34].
