Sentence examples for a degree of simplification from inspiring English sources

Beware any salesman who offers a "sure thing" paying 8% a year.Nor should it be implied that academics are unaware that these models involve a degree of simplification – ignoring transaction costs, for example, or the difficulties involved in traders being able to borrow enough money to bring prices into line.

Since the level of irradiation induced by diagnostic examinations remains well below the threshold of appearance of deterministic effects, a degree of simplification can be accepted for absorbed dose determination.

Nevertheless, in order to craft a grand strategy a degree of simplification is needed and Bremmer has done an excellent job of presenting three discrete options for readers.

:amo wel kalaki-yá pin kal porke ȼakwa-tiká im pwerta : not can he-enter in house because it-closed-was the door :"He couldn't enter the house because the door was closed" (Mexicanero Nahuat) Many dialects have also undergone a degree of simplification of their morphology which has caused some scholars to consider them to have ceased to be polysynthetic.

To address some of the complexities of networked inter-hospital QMs, a degree of simplification can be achieved by focusing the model on patient diversion for high priority patients.

Therefore, the study implies a degree of simplification of real-life conditions.

Finally, the results presented in this article represent a degree of over-simplification of all possible patterns in the data.

"To me, Mayan pictorial conventions -- everything bounded in dark outlines, a high degree of simplification and caricature -- have an enormous amount to do with what we think of as cartooning, but they come from a completely different place," Mr. Dunham said.

The BVS-inspired scheme is preferred over other transdimensional MCMC techniques because it trades a small increase in MCMC state space for a high degree of simplification and flexibility in programming.

The hierarchical learning and extraction of different levels of complex, data abstractions in Deep Learning provides a certain degree of simplification for Big Data Analytics tasks, especially for analyzing massive volumes of data, semantic indexing, data tagging, information retrieval, and discriminative tasks such a classification and prediction.

Computational modelling of this setting (multiple cell populations with heterogeneous biophysical and biochemical coupling) is challenging, and still based on a large degree of simplification.