Sentence examples for may explain per from inspiring English sources

Furthermore, the down-regulation of talins (actin and integrin binding proteins) may explain per se the misalignment and apparent failure of adhesion observed in the mATX3-depleted cells given their key role in focal adhesions and cell spreading [52].

It is possible that the fast evolutionary rate in fru may explain, per se, its more accurate phylogenetic resolution in Anastrepha species, but it may also be due to the fact that this gene is adaptively diverging, and has a role in determining courtship behavior, which could somehow affect reproductive isolation.

Forty-eight per cent picked Rudy Giuliani, which may explain why only nineteen per cent knew that Ed Koch said Giuliani's laugh was like the one Richard Widmark makes when he pushes an old woman in a wheelchair down the stairs, in "Kiss of Death".

These differences, together with the small study size, may explain the higher EOR per Gy of 0.84 that they observed compared with 0.27 in this study.

These results, therefore, raise the possibility that (factors which are closely associated with) insulin resistance, rather than hyperglycemia per se may explain the absence of a correlation of SAA with bilirubin in insulin resistant individuals.

The lack of information content per gene may explain the conflicts among earlier studies based on fewer genes (James et al. 2006; Sekimoto et al. 2011; Ebersberger et al. 2012).

The abundance of good jobs in Minneapolis may explain why startup founding activity, on a per-capita basis, is lower.

We are interested in service features, in particular in the way services are provided, and we focus on quality and service standards because they may explain the costs and welfare intensity per user.

However, the dose of donepezil administered to mice is higher in this study compared with the previous study (5 mg/kg of body weight per day), which may explain the discrepancy.

In this study the prevalence of both sporadic (zapoi) and routine dysfunction was higher in non-beverage alcohol drinkers compared to those in the highest category of beverage alcohol consumption (greater than 20 litres, of ethanol per year) which may explain why non-beverage alcohol consumption predicted employment status in the logistic regression model while volume of beverage alcohol did not.

Our study used only one comparison per subject, which perhaps may explain the difference in results.