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An alternative approach is to modify the experimental design using a multifactorial approach.
We modify the experimental setting of Sugiyama et al. (2008) to measure the influence of a carefully controlled AV on human piloted vehicles.
As data flow from the experiments, Chorus managers modify the experimental plan weekly or even daily in order to discover the intrinsic attributes of a candidate as efficiently as possible.
Every 10 min of the first hour, subjects could modify the experimental conditions by deciding a change in temperature or noise.
We modify the experimental design developed by Reeson et al. (2011) by introducing uncertainty (and hence heterogeneity) in the production value of forest sites as well as an automated, endogenous stopping rule.
Yet another possibility is to modify the experimental protocol so that the total DNA rather than the total RNA be kept constant across the arrays (see Remark 1).
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Experiment 2 modified the experimental method to better accentuate the positive and negative experiences, and produced results showing strong effects of recency, but not of primacy.
As no other control parameter was modified, the experimental length of the light-cone was not varied.
Over this time, 10 weekly fog applications modified the experimental conditions.
When he comes up with a new equation or scaling parameter, he then utilizes and modifies the experimental facilities at the Forrestal campus to obtain data and test those scalings.
The experimental results revealed that hydrocortisone nano-sized dispersions in the range of 80 450 nm were obtained and the mean particle size could be changed by modifying the experimental parameters and design of microreactors.
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