Sentence examples for models that increased from inspiring English sources

In a report published in Science Translational Medicine, the team describes evidence from both humans and animal models that increased activin type II receptor (ActRII) activity correlates with worsening heart failure and that inhibiting ActRII can improve cardiac function in mouse models.

It has been shown in other human cancer models that increased efficacy of cisplatin may be achieved by NF-κB inhibitors in cancer cells [ 17, 18].

However, others have shown in log-linear RR models that increased mismeasurement of high exposures versus low exposures does not necessarily lead to estimates of exposure response relationships biased to the null and can, in fact, lead to overestimates of exposure response relationships (Steenland and Deddens 2000).

The demonstration in mouse models that increased levels of these proteins correlated with increasing disease severity suggests that such a study is now warranted.

In consent, previous reports have revealed in vivo, using balloon injury models, that increased levels of TGF-β1 signaling enhance the intimal thickness and induce SMCs proliferation and differentiation [ 37].

While the managers adjust pricing, O'Leary's computer programmers are working to develop genetic algorithms;models that increase the computer's knowledge with experience.

" AMP builds models that increase the amount and effectiveness of capital invested into climate resilience and low-carbon technologies globally". On Wednesday, August 27, 2014 at noon Eastern, Foster will join me for a live discussion about the program's efforts to spur investment in the environment.

Innovate to create more capacity: In this era of value-based purchasing, Accountable Care Organizations, and Patient Centered Medical Homes, health systems across the country are embracing innovations such as email consults, telemedicine, physician incentives for productivity, and new care-delivery models that increase providers' ability and motivation to effectively manage large populations.

Since reality is complex, scientists often engage in a quest for models that increase in complexity at an astonishing rate, sometimes at the expense of clarity.

For a very limited number of nonsynonymous substitutions, when evolutionary distance is relatively short between species, models that increase complexity, such as those for correcting multiple hits, may not lead to stable estimations [ 24, 32].

To circumvent the problem of model overfitting, we assessed the significance of individual terms in the ANCOVA using the "step" function implemented in R, which uses Akaike's information criterion (AIC) to remove terms that do not significantly improve model fit that is, models that increase the AIC value resulting in the set of minimal adequate models discussed below.