In cases where data is not available, statistical theory can be used to design an appropriate experiment to generate data.
A preliminary experiment to generate erroneous answers and their explanations using descriptions of knowledge (which is discussed in greater depth later) revealed that although SES is capable of generating explanations for meaningful erroneous answers, it cannot generate explanations of those answers and occasionally produces meaningless selections.
In a separate experiment to generate type 2 diabetes SD rats, rats (male, aged 6 weeks, 200 220 g) were allocated to one of two dietary regimens for an initial period of 6 weeks: a normal pellet diet (NPD, n = 6) or a high-fat and high-sugar diet (HFD, containing a regular diet plus 27.3% lard, 54.6% sucrose, 16.4% cholesterol, and 1.6% sodium cholate (w/w), n = 18).
The combination of these different approaches demonstrated how multiple analysis methods can be combined in an in silico experiment to generate novel hypotheses.
Andrew Russell, a senior vice president of the service, called it a three-week experiment to "generate buzz".
To validate the striking reduction in tumor growth observed in vivo, we repeated the mouse-model experiment to generate an additional tumor growth curve.
Scores on the mood questionnaires for the week before were subtracted from scores on the questionnaires for the week after the experiment to generate a change score (see Table 3).
Considering the status of knowledge on corrosion and corrosion protection and especially the need for long term compatibility data of structural materials in HLM a set of experiments to generate reliable long term data was defined and performed.
This method uses a large collection of parallel AP-MS experiments to generate a database populated with peptide spectral matches, allowing the frequency, abundance, and reproducibility of interacting proteins to be determined.
This method uses a series of phantom experiments to generate two calibration curves.
