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The lack of a protective effect of the DDAH-1 transgene in our model with significantly different ADMA plasma levels points to a minor relevance of these observations for infarct size.

We have in a previous study shown that lack of HRG affects the angiogenic switch in the RIP1-Tag2 model with significantly elevated numbers of angiogenic islets in RT2/HRG−/− mice as compared with RT2/HRG+/+ littermates at 7 weeks of age [3].

In contrast, the BIC and DT tended to select the same model, with significantly lower means of dissimilarity values ranging from 0.17% to 7.67% across the 14 simulations.

We performed a manual stepwise backward multiple variable regression with city as random intercept to obtain a parsimonious model with significantly (p < 0.05) associated predictors of each outcome.

Similar results were generated when recovery rates of bacterial counts were compared for the murine bacteraemia model with significantly enhanced amounts of D32 in comparison with UW7709 isolated from liver, kidneys, spleen and blood.

First, the logistic regression procedure showed that including the CAD system likelihood in addition to the radiologist PIRADS score resulted in a model with significantly improved predictive power (p < 0.001, likelihood ratio test) for both evaluation settings (benign vs. cancer and indolent vs. aggressive).

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The new modeling framework now enables tabulated models with significantly lower computational cost to account for unsteady history effects.

It has been worn in the ensuing decades by Impalas and Camaros, as well as models with significantly lower evocative powers, like the Cobalt coupe and Tahoe sport utility vehicle.

The results suggest that directional dynamic responses of partly-filled tank vehicles can be efficiently analyzed using the coupled multimodal slosh-vehicle models with significantly lower computational effort than the methods employing computational fluid dynamic (CFD) fluid slosh models.

Our results demonstrated that the full models, which integrated all three classes of predictors, were superior to other models with significantly higher AUC values (p<0.001), and was consistent for all three turtle species.

In addition, through these examples we have clearly demonstrated that the object-oriented framework greatly facilitates development of hi-fidelity process models with significantly less time, efrort and expertise than the conventional procedural coding approaches.

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