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In vitro digestion models show great promise in facilitating the rationale design of foods.
In this regard, GEM models show great promise in preclinical drug development, target validation, and chemoprevention.
These models show great similarities and equivalences [ 24] and we would expect similar conclusions to be reached.
These models show great promise in predicting the effects of nonsynonymous single nucleotide polymorphisms in well-characterized human genes [ 30].
Three-dimensional organotypic culture models show great promise as a tool for cancer precision medicine, with potential applications for oncogene modeling, gene discovery and chemosensitivity studies.
Even though these P. aeruginosa and S. epidermidis models show great potential of phage-based therapeutical strategies, the actual biology of P. acnes and its phages might complicate such therapies for P. acnes infections.
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The trained and tested ANN models show greater accuracy for evaluating the solar radiation.
Some models show greater adaptability to different modelling conditions, with only a few approaches able to predict with high accuracy using limited input variables (scenario 2).
The trained and tested ANN models show greater accuracies for evaluating solar resource posibilities in regions where a network of monitoring stations has not been established in Turkey.
If quality of fit is of main importance then the 3-parameter van Genuchten model is preferred, whereas the 2-parameter lognormal, 3-parameter GEV and generalized Pareto models show greater promise for regionalization.
The trained and tested ANN models show greater accuracy for evaluating the solar resource possibilities in regions where a network of monitoring stations has not been established in Turkey.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com