"quantitative output" is a correct and usable phrase in written English.
You can use it to refer to numerical information or data that has been generated as a result of a system, process, or calculation. For example, "The team found the quantitative output of the economic projections to be very revealing."
The quantitative output from RPPAs is readily combined with that from other "omics" platforms using a variety of information-intensive approaches at the molecular and population levels.
Finally, based on related theories or viewpoints, the operating practices for quality characteristics entail quantitative output with importance and grades taken into consideration.
The micro-reactor is made from multilayer polymethyl methacrylate (PMMA), and it includes an external temperature controller and an optical detection unit that yields quantitative output of a by-product turbidity signal.
This paper presents the combination of the quantitative output from the software (measuring operation time and biomechanical load) together with existing optimisation techniques used to design the optimal HIRC workstation.
Due to its mechanical design, quantitative output and ease of use, RAM appears to offer solutions to the existing challenges.
Additionally, these tools do not provide the quantitative output necessary for large-scale statistical comparison.
"The focus on quantitative outputs risks losing connection with the most important outcomes for intended beneficiaries.
Furthermore, ptychography offers quantitative outputs that relate to physical properties of the cell itself (Fig. 2e h), thus demonstrating the future applicability of this type of imaging to quantitatively differentiate between multiple cell types.
We show that, while the modelling tools provide broadly comparable quantitative outputs, each has its own unique features and strengths.
With the BSC technique we can compare Historical Probabilities of attested and unattested alternations and perform inferential statistics on the comparison, predict (un attestedness in a given sample for any alternation, and derive quantitative outputs for a typological framework that models both Channel Bias and Analytical Bias influences together.
With the Bootstrapping Sound Changes technique, we can compare Historical Probabilities of attested and unattested alternations and perform inferential statistics on the comparison, predict (un attestedness in a given sample for any alternation, and derive quantitative outputs for a typological framework that models both Channel Bias and Analytical Bias influences together.
