Sentence examples for aforementioned using from inspiring English sources

Suggestions(1)

The phrase "aforementioned using" is not correct in standard written English.
It seems to be an incomplete expression and lacks clarity without additional context.
Example: "The aforementioned using of the term was confusing to the audience."
Alternatives: "previously mentioned using" or "earlier stated using".

Exact(5)

Neutral lipids were analyzed to verify data obtained using biochemical analysis aforementioned using HPLC/ESI/MS as described previously [43].

In this study, we successfully separated and quantified the various polar lipids aforementioned using LCMS approaches [22]; and for the first time, we characterized and quantified the lipid profiles of monkey plasma and compared that with the corresponding lipid profiles in human plasma (Figure 1).

Apart from the strengths aforementioned, using a mixed methods design allowed explanation and in-depth understanding of the quantitative results.

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.

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.

Similar(55)

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.

As aforementioned, we used texture- and shape-based features to train several different classifiers (SVM, Random Forest and AdaBoost).

Considering the aforementioned use cases, [100] explores the reliability requirements for home charging EV applications.

Yeah, it's time to retire the word hero outside of the aforementioned use.

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.

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