Sentence examples for more versatile approach from inspiring English sources
However, despite the "success" of these methodologies, thermodynamics of complex multi-component alloys, as used in engineering applications, requires a more versatile approach presently afforded within CALPHAD.
This more versatile approach is demonstrated using a variety of N-terminal markers including fluorescein, biotin, PC-biotin, and a novel dual marker conjugate (Biotin/BODIPY-FL).
This is a more versatile approach in that it allows the user to input any desired confidence level, failure probability, and simulation-run number.
Seeking a more versatile approach, researchers led by biophysicist Kevin Kit Parker at Harvard University turned to a chemical patterning technique developed over the last decade by Harvard chemist George Whitesides.
An alternative and potentially more versatile approach to generating bispecific therapeutics is chemical conjugation.
A more versatile approach is required to determine the mechanism of cartilage destruction in OA.
Sacrificial molding holds great promise to engineered construct with perfusable vascular architectures, but there is still the need to develop more versatile approaches able to be independent of the nature and dimensions of the construct.
In particular, an initial algorithm aimed at identifying optimal designs through multiple gene knockouts (OptKnock [ 19]) was followed by more versatile approaches capable of taking into account gene up-regulation and down-regulation (OptReg [ 20]), as well as existing flux measurements (OptForce [ 21]).
As a more versatile analytic approach than that depicted in the previous section, we will now describe a weighted generalized linear model (GLM), illustrated graphically in Figure 3 B).
However the adoption of the currently available techniques by heparin manufacturers will cause increased production costs and, ultimately, higher prices for the final product, therefore the search for cheaper and more versatile analytical approaches such as that presented here is of great importance.
Furthermore, we feel that using sample-level rather than gene-level enrichment as a starting point may represent a much more robust and versatile approach for integration of data from multiple sources as new technologies advance the ability to assess regulatory networks at multiple levels.
