Sentence examples similar to fusion of characteristics from inspiring English sources

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Initially hypothesised before they were belatedly discovered, brown dwarfs are objects more massive than planets, but which are of insufficient mass for hydrogen fusion characteristic of stars to occur.

Along with this, the ability to escape from endocytic vesicles into the cytoplasm and subsequent intracellular replication and cell to cell spread by actin based motility and induction of cell fusion are important characteristics of this infection.

Ms. Benglis's characteristic fusion of wit, excess and off-hand art historical reference prevail.

Its groove-oriented songs exhibit Saadiq's characteristic fusion of programmed beats, strings, neo soul melodies, and live guitar.

As with his debut album, Ray Ray features Saadiq's characteristic fusion of programmed beats, strings, neo soul melodies, and live guitars.

The BCR-ABL Tg mice contain the truncated murine metallothionein-1 promoter driving the expression of the 190-kDa BCR-ABL fusion protein characteristic of the t(9 22) BPL.

Our results are in agreement with previous studies identifying KIAA1549-BRAF gene fusions as characteristic of both PAs and PMAs in the cerebellum.

These cell lines retained epithelial-like morphology through 100 passages in vitro, contain the Crtc1-Maml2 fusioncogeneene (characteristic of mucoepidermoid carcinomas), and express the prototypic target of this fusion (NR4A2).

We focused on membrane-anchored hybrid macromolecules (lipid polymer oligopeptide) that mimic biological SNARE proteins in terms of liposome fusion characteristics [H. Robson Marsden et al., 2009]; efficient micro-second simulation was enabled by combining validated MARTINI force fields for the molecular building blocks in coarse-grained molecular dynamics (CGMD).

Here, we report a phylogenomic analysis of gene fusion characteristics in the pterin folate biosynthesis pathway across the eukaryotes.

Germán et al. proposed a Lasso feature selection method based on minimum angle regression using fusion characteristics of the EEG, such as the power spectrum, Hjorth parameters, AR model coefficients, and wavelet transform parameters.

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