Sentence examples for more likely derive from inspiring English sources

Exact(3)

So a high Sharpe ratio should indicate profitable low-risk client business, while a relatively low one would more likely derive from prop trading.

Those expressing DR5 protein share this characteristic with transformed cells and with synovial fibroblasts from RA synovial membrane, and more likely derive from the synovium.

As the psychosocial experience is highly associated with the outcome for the recipient, we contend that the long-term benefits for donor siblings more likely derive from the survival of the recipient sibling rather than from process of tissue harvest itself.

Similar(56)

This suggests that the source of the urine GL-3 is not a representative blood filtrate but more likely derived from the kidney.

This unravels at least part of the mystery; the people of Qasr Ibrim did not necessarily import a two-row type from outside of the region, but that this barley was more likely derived from local six-row barleys.

The categorization of upregulated proteins in the plasma based on enrichment in ovarian cancer cells sub-fractions provided a means for assessing which upregulated proteins in plasma were more likely derived from cancer cells, and which proteins were more likely related to host-response.

On the other hand, albuminuria in the patients with chronic glomerulonephritis may be more likely derived from glomerular capillary damage alone without (or with less) damage to the main renal artery.

While the amniotic mesoderm has also been cited as being derived from the hypoblast, we previously used data from cases of chromosomal mosaicism to demonstrate that in a term placenta this component of amnion is more likely derived from the subsequent contribution of mesodermal cells from the primitive streak rather than cells initially derived from the hypoblast (Robinson et al., 2002).

Nevertheless, using a similar input of a particular tissue type, putative selective expression of a given protein would be more likely to derive from extraction method specificities rather than derive from sample to sample abundance.

Thus, gender differences are less likely to be attributed to educational attainment and more likely to derive from differences in preferences or other pressures that drive women away from STEMM careers.

The author argues that competitive advantage is more likely to derive from firm-specific knowledge and stresses the importance of the conversion of static knowledge into a more dynamic nature (e.g., from declarative to procedural knowledge and; from tacit to explicit knowledge).

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