Sentence examples for mixture of features from inspiring English sources

Fossil hunters in Chile have unearthed the remains of a bizarre Jurassic dinosaur that combined a curious mixture of features from different prehistoric animals.

A. sediba, like other species of Australopithecus, displays a mixture of features that reflect its simian past and anticipate its human future.

Diadectes shares a mixture of features from both amniotes and primitive tetrapods, but it did not possess an amnion, which is a protective membrane surrounding the developing embryo and a defining characteristic of reptiles.

The analysis shows that the fossil had a mixture of features found in modern-day tarsiers, an ancient group of primates that is now restricted to the islands of South East Asia, and others found in anthropoids, the lineage through which monkeys, apes and humans later evolved.

In a position analogous to that of North Sea Germanic within Northwest Germanic, there surely existed transitional dialects between North Sea and South Germanic within West Germanic; the Old Saxon language may well reflect such a dialect, given that it shows a mixture of features agreeing with North Sea Germanic, as in English and Frisian, and with South Germanic, as in Old High German.

It offers a mixture of features that one might be familiar with from Facebook and Twitter.

We estimated the importance of each feature using a method that was proven to correctly take into account redundancy between the features and a mixture of feature types (Strobl et al. 2008).

Once again, Darwin was grappling with apparent mixtures of features ("inosculating") which to him seem to involve several otherwise distinct groups of birds ("lark pidgeons and snipes").

In conclusion, as a result of the changes due to hypothyroidism, individual cretins show, throughout the entire skeleton, mixtures of features, some like unaffected humans, some like apes, and some unique, that, despite assertions to the contrary, are rather like the character mosaic described for the Liang Bua remains.

In this manner, we can treat PCs as compositions containing some fragments of all initial features or, in the other words, a mixture of initial features in different proportions.

Our results suggest that SGB is appropriate to classify narcolepsy subtypes with a high accuracy, and it can consider mixture of clinical features on machine scale and learn to classify NT1 and NT2 by identifying the most important features that are even not part of the current classification criteria such as the mean REM sleep latency of MSLT (which indicates no circular reasoning).