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Fourier Transform Infrared Spectroscopy (FTIR) data demonstrates that the functional groups in the MAPLE-deposited films remain intact for the individual compounds and that LF was not affected by the solvents used for copolymer.
Altogether this demonstrates that the functional residues of different families can be found within the best-conserved "cores", and underlines the value of the "sieving" approach to substructure identification.
Our study demonstrates that the functional contribution of NCAM to EOC progression relies on its interaction with and activation of FGFR.
This demonstrates that the functional target addiction profiling provides complementary information, when compared with the genomics-only-based profiling of cancer cells, which has not yet fulfilled its promises in providing clinically actionable therapeutic strategies for many cancer types.
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Results demonstrate that the functional V2O5 sol plays a crucial role in the formation of a hierarchical starfish-like structure.
The micro-FTIR characterization demonstrated that the functional poly VDF-TrFE) ferroelectric poly VDF-TrFEngineered in the micro channel.
Thus, it is demonstrated that the functional groups on the three monomers, namely DMC, AM, and AMPS, are able to bind with anions, organic droplets, and cations, respectively.
The FTIR data demonstrated that the functional groups in the MAPLE-deposited films remained intact for fluences in the range of 200 600 mJ cm−2.
It was demonstrated that the functional silane treated microfiller (γ-MPS) presents a positive effect on wear resistance, mainly when a high filler concentration (up to 30%% by vol) is used [12].
In addition, Boehm titration and Fourier Transform Infrared Spectroscopy (FTIR) characterization results demonstrated that the functional groups on the surfaces of these carbons consist of both temperature-sensitive and temperature-insensitive components.
The results demonstrate that the functional approach produces better results in the shape optimization process and that speeding up the algorithm using machine learning techniques ensures that this approach does not negatively affect design process response times.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com