More complex real-world examples of incompatible states of affairs can be found in molecular biology.
Another consideration for future work is the asymmetric channel conditions case, in which the throughputs of the links are different and reflective of more complex real-world scenarios.
The results of COSTAR II will provide information about a novel coronary stent device as well as unique data regarding both control and test DES use in more complex "real-world" patients.
It is true that what individuals do in the highly artificial situation of being presented with the prisoner's dilemma doesn't necessarily tell us how they will behave in more complex real-world situations.
Such informational influence effects have been reported in experiments in which observers make simple perceptual judgments [12] [14], as well as those in which they respond to more complex real-world stimuli; for example, observers rate a joke as funnier (and are themselves more likely to laugh) if the joke is followed by laughter [16].
In more complex real-world scenarios, however, tokens may contain multiple data entities.
However, for more complex real-world mixtures, the calculations become less accurate, probably because of the presence of other chemicals in the mixture that may interfere with the estrogenic response of the target estrogens and/or because of uncertainties in the measurements of the chemical concentrations themselves in complex mixtures.
They have the potential to expand computing to more mobile and complex real-world applications, to be used by a broader spectrum of everyday people and to accommodate more adverse usage conditions than in the past.
But there is a much less tight and predictable relationship between response and outcome when individuals seek drugs in more complex, or real world environments, where reinforcement is often delayed and drug seeking must be maintained over long periods of time (Everitt & Robbins, 2005).
Although more traditional regression analyses are useful for delineating causal relationships among variables, SEM enables more efficient characterization of complex, real-world processes than can be achieved using correlation-based analyses [ 38].
