The phrase "aforementioned uses" is correct and usable in written English.
It can be used to refer back to uses that have been previously mentioned in the text.
Example: "The aforementioned uses of the software highlight its versatility and effectiveness in various applications."
Alternatives: "previously mentioned uses" or "earlier stated uses".
Beyond the aforementioned uses, a few other potential applications of crude glycerol have been reported.
In our new approach, we marry the aforementioned uses of LMMs to perform set tests in the presence of confounders within a single, robust and well-defined statistical model.
Recently, French and colleagues [ 10] integrated the two aforementioned uses to propose a systematic four-step method for the development of behavior-focused interventions based on the TDF: 1) identify the behavior to be changed; 2) identify barriers and enablers; 3) identify appropriate behavior change techniques; and 4) assess changes in behavior.
Neutral lipids were analyzed to verify data obtained using biochemical analysis aforementioned using HPLC/ESI/MS as described previously [43].
Apart from the strengths aforementioned, using a mixed methods design allowed explanation and in-depth understanding of the quantitative results.
Considering the aforementioned use cases, [100] explores the reliability requirements for home charging EV applications.
We aim to evaluate in depth the flexibility of our approach in a specific application such as the aforementioned, using video streams from depth cameras.
Most studies, including the aforementioned, use officially compiled, existing MRIO tables; as a result, there are few regions for which the proposed models are applicable.
Yeah, it's time to retire the word hero outside of the aforementioned use.
In order to test whether these PD mutants of Ssc1 can also contribute to the overall loss in mitochondrial function, we analyzed the aforementioned using multiple approaches.
As aforementioned, we used texture- and shape-based features to train several different classifiers (SVM, Random Forest and AdaBoost).
