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 Optimal experiment design (OED) is a field of statistics that minimizes the number of experimental runs needed to estimate specific parameters, and thereby, it reduces the costs of experimentation.[@emery1998optimal]
 It works with many degrees of freedom and can consider constraints, for example, when the sample space contains settings that are practically infeasible.
 One form of OED is response-adaptive design[@hu2006theory], which concerns adaptive sampling designs for statistical experiments.
-Here the acquired data (i.e., the observations) are used to adjust the experiment as it is in process.
+Here, the acquired data (i.e., the observations) are used to adjust the experiment as it is in process.
 In a typical non-adaptive experiment, decisions on how to sample are made and fixed in advance.
 
 #### Plotting and low dimensional integration uses local sampling.