Sentence examples for models which more from inspiring English sources

The research agenda should focus on the development of hyperdynamic animal sepsis models which more closely mimic human sepsis and on experimental and clinical studies designed to evaluate minimal or no fluid strategies in the resuscitation phase of sepsis.

Finally, the importance of considering the influence of various factors and diseases which could interfere with the nerve regeneration process is emphasized in the perspective of a wider adoption of experimental models which more closely mimic the environmental and clinical conditions found in patients.

In future models which more precisely address the issues described above a less dramatic but still relevant reduction of voxels in the nonunion area can be expected with 50-75% being a realistic target.

This highlights the caveat that the interpretation of Bayesian networks can benefit from additional a priori functional knowledge of the mediators investigated and that larger data sets - unsurprisingly - generate models which more accurately represent mediator inter-relationships, as demonstrated by the use of VBSSM models.

First, it is decided to include a fourth model, which more accurately captures the factor endowment of countries and its possible impact over manufacturing performance.

This results in improved solution quality when using real measured data from a resistor-wire model of a cell, and simulated data from a model which more accurately represents the conductance of the cell plate grid and active mass.

The Improvede veReducedf the IRSystemod based on dynamIRSreduction is also described.

My colleagues from the University of Pennsylvania and I extended this research in this mammalian model, which more closely tracks the effect regenerated cardiac tissue could have in humans.

In our study, we instead used an infiltrative glioma mouse model, which more closely reflects the nature of infiltrative glioma that has an indistinct margin [ 7, 8].

Variation in this rate across positions is mimicked by the informational model, which more consistently supports a gamma parameter throughout the simulation.

Combined with applying parsimonious principles, we are able to construct a model which more clearly explains the evolutionary path of P450 genes in the four fungi used in our study.