Sentence examples for subjects to optimize from inspiring English sources
The phrase "subjects to optimize" is not correct in English.
Did you mean "subjects for optimization"? You can use it when referring to specific topics or areas that require improvement or enhancement in a particular context, such as research or data analysis. Example: "In our study, we identified several subjects to optimize in order to improve overall performance."
Early identification of treatment response or non-response in bipolar disorder may be beneficial to subjects to optimize clinical outcome by allowing identification of subjects that are most likely to substantially benefit from therapy.
Initially response surface statistical design (Central Composite Design CCDCD) was subjected to optimize the formulation variables of oil-in-water (O/W) nanoemulsions induced by ultrasound.
The pattern of these 16 connections was chosen for each subject to optimize the distribution of the active jets under the digits.
Our objective in the current paper is to develop criteria for selecting the number of untreated subjects to match to each treated subject to optimize estimation of treatment effects when M 1 matching is used.
In other words, we used what the subject saw to estimate the Bayes-optimal estimate of hidden states over the experiment under a particular set of parameters and used subject responses to optimize the parameters of the perceptual and response models.
We then use Monte Carlo simulations to determine the number of untreated subjects to match to each treated subject in order to optimize estimation of treatment effects.
The objective in this study is to optimize the HWT test subject to dry condition to be one potential method in measuring rutting resistance in a laboratory.
The objective of the subject work is to optimize different design and operating parameters of the adsorbed natural gas (ANG) system subjected to variable charge and the boundary conditions.
However, to ensure that tuning the procedure to a specific set of subjects did not bias our results, we used data from four subjects (the pilot group) to optimize the procedure.
However, it proved to be impossible with our data from living subjects: the objective function was difficult to optimize and subject to very large estimation errors.
We utilize a multi-objective genetic optimization algorithm to optimize security subject to constraints for energy consumption and minimum security level.
