Maximal oxygen consumption was assessed on a Monark model 839E electrically-braked cycle ergometer (Vansbro, Sweden) using a continually increasing power output protocol.
In addition, the protective and the therapeutic effects of dendrosomal nanoparticle-curcumin were assessed on an animal model of breast cancer through apoptosis, proliferation, and angiogenesis pathways.
The in vivo wound healing activity of 1 and 2.5% (w/w) C. spinarum extract was assessed on a burn wound model in mice by the rate of wound contraction, period of epithelization and hydroxyproline content and the results showed that C. spinarum root extract has significant wound healing activity as evident from the rate of wound contraction and epithelisation [77].
The expression of the erythroid and megakaryoblastic specific transcripts validated by RT-PCR was further assessed on a different erythroid model.
Cutoffs were chosen by visual inspection of density plots and performance of the fitted model assessed on an independent simulation, extracted as above.
The vegetation transition probability model was marginally more accurate than the rule-based model when assessed on a cell-by-cell basis, but the rule-based model replicated the spatial distribution of vegetation communities more accurately and may be more broadly applicable.
The performance of the models was assessed on a per target basis by training ten PCM models, each on a different subset of the whole dataset.
The entire procedure – i.e. approximation and control – is assessed on a Business Jet large-scale generic model, highlighting the effectiveness of the approach in a concrete use-case.
On the one hand, the vision subsystem has been validated using sequences from a video tape obtained by means of a ROV during several tracking sessions of various real cables, while, on the other hand, the performance of the whole system has been assessed on a 3D simulator using the hydrodynamic model of a real underwater vehicle named GARBI.
The accuracy of the model is assessed on a test set.
Models are assessed on a reserved data set where labels are only known to the organisers, and scored based on the number of accurate predictions.
