Sentence examples for more challenging experimental from inspiring English sources
The exhibition chronicles a period often referred to as the "coming of age" of photography, which produced images that were more challenging, experimental and innovative than ever before.
We all smiled when a bell rang in the office every time a seat was sold for one of our more challenging experimental theatre shows.
She said that in a recent Quebec study, concussed subjects who recorded high Impact scores took more challenging experimental tests that showed them still to be significantly concussion-affected.
This suggests to us that future research will be forced to move increasingly towards the logistically more challenging experimental manipulations (laboratory, mesocosm, and field-based).
It would also have been interesting to study alcohol-based hand rubs with a lower alcohol concentration to verify the data in a more challenging experimental setting.
On the whole, the nominators favored big-cast productions with relatively traditional plots and old-fashioned scores, and bypassed several shows and performances that were more challenging or experimental, like Alan Cumming's "Macbeth" or Fiona Shaw's star turn as the mother of Christ in "The Testament of Mary".
Additionally, it will be crucial to design and utilize proper controls, which can be more challenging than experimental approaches to single mild TBI.
Metabolite and reaction compartmentation is important for a realistic representation of the mammalian cell metabolism, but determining it is more challenging both concerning experimental and modeling procedures, as we have already reviewed in [ 24].
Additionally, it is even more challenging when there is sparse experimental data in discrete time sequences, as is often the case.
The problem is made even more challenging in the presence of noise, experimental uncertainties, optical aberrations, and perturbations of the experimental geometry which require specialized solvers and software [16 18].
Model invalidation and parameter estimation are considerably more challenging in biology than in other experimental and engineering sciences, requiring specifically tailored methods.
