Sentence examples for robustly use from inspiring English sources
To consider how RoOs should be designed so that exporters can more robustly use an FTA scheme, this paper investigates the effect of exchange rates on FTA scheme utilization with a focus on RoOs.
Reliable responses to this illusion emerge at around 8 or 9 years (Tremblay, Champoux, Voss, Bacon, Lapore & Theoret, 2007), the same age at which children robustly use visual cues to help overcome noise in the auditory signal (Wightman, Kistler & Brungart, 2006).
To become more comprehensive and to estimate cost-effectiveness more accurately, future economic evaluations of smoking cessation in pregnancy should investigate uncertainty more robustly, use better estimates for the postpartum relapse, extend beyond a within-pregnancy time horizon and include the major morbidities for the mother and her infant for within-pregnancy and beyond.
But this is an attractive and spectacular piece of work, robustly using real outdoor locations and groundbreakingly casting young actors close to the characters' supposed age.
This year was also notable for big advances in grasping technology: simple, fast systems that let robots grab new objects quickly and robustly, using relatively simple hands.
Subsequently these are tested robustly, using quantitative methods to establish their validity, and in turn become part of professional knowledge.
The distributions of the innovations in both noise and signal are modeled robustly using mixtures of normals.
Throughout the methodology, a modified process synthesis model for membrane network optimization and design is employed which can be optimized robustly using the simulated annealing algorithm.
Are theories robustly used, referenced and explained, or are more everyday, ad hoc buzzword orientations used?
In the end, it seems the Twitter 1% stream can be reliably and robustly used as a proxy for Twitter as a whole.
This allows nuanced ((GC times GC)) distinction between closely related yet different complex mixtures, e.g. crude oil from neighboring oil sources, which share the regional fingerprint, and therefore, difficult to differentiate robustly using purely statistical methods.
