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A report released by the National Research Council nearly a decade ago, BIO2010: Transforming Undergraduate Education for Future Research Biologists NRCC, 2003), provides a starting point for thinking about how glycoscience-based examples can be effectively incorporated into classes.
Setälä's work on decomposer biodiversity [44] is also based on a strong conceptual base and many other good examples can be found [see for example in 45].
Therefore, the limitations related to the evidence base used in our examples can be neglected - an approach equally used by Schwartz et al. [ 5] to evaluate the drug-facts-boxes.
Some primary examples can be classified based on their respective main subject of study: Effects of mental workload on driving performance (including research about how phone conversations or other sources of driver distraction affect driving).
Based on the review of the relevant literature some examples can be considered promising.
Examples can be found for both.
New examples can be designed following a series of rules based on molecular structure and symmetry.
Availability: predicting the probability of an event based on how easily an example can be brought to mind.
Such models, for example, can be based on differential equations or perhaps include stochastic components.
Efforts to circumvent drug resistance include the combined use of different drugs with different mechanisms of action to enhance the overall antitumour effect, which for example can be based on the activation of distinct or overlapping apoptotic pathways that in a cooperative manner can trigger apoptosis more effectively.
These probabilities, for example, can be calculated based upon the probability ratings of the events or are labeled to the scenarios in a qualitative process (e.g. most likely scenario) in a step that follows the scenario creation [35].
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