The pig is thought to be the most suitable non-human source of organs for xenotransplantation and is widely used as a model of human disease.
Abrasive flow machining (AFM) process is a most suitable non-conventional finishing process of internal passages of IC engine vehicles.Workpiece were machined by making all possible arrangements of these parameters on 3 levels which resulted into total of 27 workpiece which were machined to find the optimum value of parameters.
The use of molecular genetic markers is likely to be the most suitable, non-destructive, and highly informative tool for genetic discrimination of wild and farmed fish, despite the heterogeneous mixed gene pool in wild sea bass and sea bream populations in the Mediterranean (Arechavala-Lopez et al. 2013a; Šegvić-Bubić et al. 2014).
The most suitable non-invasive 3D reference standard for postural measurements has not been unanimously determined in this field of research.
'trainlm' is considered the fastest method for training moderate sized feed forward neural networks and is most suitable for non-linear regression.
The differences between mushroom and straight lingual archwires seem to be less significant in the lower jaw, where arch length is more comparable, but, in general, it can be stated that stainless steel archwires are the most suitable for non-frictional space closure in extractive orthodontic treatment.
Since most institutions in the developing countries will not be able to carry out the isotope dilution method, the skinfold prediction equations remain the most suitable and non-invasive methodology to measure body composition among infants.
Select the most suitable one and hit OK.
The Langmuir model is the most suitable to describe non-ionic dye adsorption, but for anionic dyes the Freundlich model is best.
Based on our study, the FM approach is the most suitable method to non-lethally estimate energetic status in both, carp and eel, whereas BIA is of limited use for energetic measurements in the same species, in contrast to other reports in the literature.
Our "hybrid" UQ methodology supports independent development of the most suitable UQ method, intrusive or non-intrusive, for each physics module by providing an algorithmic framework to couple these "stochastic" modules for propagating "global" uncertainties.
