The phrase "a defined set of variables" is correct and usable in written English.
It can be used in contexts such as programming, statistics, or research where specific variables are identified and outlined.
Example: "In our experiment, we will analyze the effects of temperature and pressure, focusing on a defined set of variables that influence the reaction rate."
Alternatives: "a specified group of variables" or "a designated collection of variables".
These groups are relatively homogeneous within themselves and heterogeneous between each other based on a defined set of variables.
A multistate species is an entity with a defined set of variables (called sites), each associated with an ordered list of states that describes different forms for the same conceptual species.
As briefly introduced before, multistate species are entities with a defined set of variables (called sites), each associated with an ordered list of states that describes different forms of the same conceptual species.
AKI is of multifactorial genesis [ 4, 7] and we only were able to control for a defined set of variables - as treatment with other potentially nephrotoxic medications might influence the results as well.
In order to conceive this model presumption, we defined sets of variables according to application profiles, computing resource profiles, and network profiles.
Most of the previous impact studies discussed in Section 2 used a defined set of observed variables on empirical levels.
In this context, we aimed to carefully assess for potential confounders but we could only control for a defined set of observed variables.
The primary aim of this investigation was to evaluate the use of electrocoagulation as an alternative/complementary method to treat efficiently such an effluent, with focus on the determination of the best operating conditions, and on the kinetics of electrocoagulation at the optimal defined set of process variables.
In this paper, we recommend: (i) conventions for defining sets, parameters, and variables, (ii) ways of presenting the objective and constraints, and (iii) means by which to organize formulations.
Because the MU can be applied to the same data but testing different explanatory factors, it can quantify how each explanatory factor partitions the same morphospace defined by a given variable (here RWs) or set of variables outlining more general morphospace.
Thus, (21) does not define a pair of variables but a set of pairs of optimal configurations.
