Sentence examples for framework for accommodating from inspiring English sources

Since then, the theory has provided a framework for accommodating observational results, such as Hubble's discovery of the expanding universe in 1929, as well as the big-bang model, which is the generally accepted explanation of the origin of the universe.

These NE-SW striking thrust faults, which are dipping to the south, have been identified as the potential structural framework for accommodating these earthquakes with reverse character shown here.

Given its multidimensional emphasis on personal, behavioral and environmental factors, SCT provides a useful framework for accommodating the complexity of factors thought to influence PA maintenance.

Bayesian clinical trials Roach et al (2006) provide a natural framework for accommodating overdispersion in response distributions resulting from patient heterogeneity, and should become increasingly prominent in this era of personalised medicine.

Finally, casting the present method in a proper regression framework should prove useful for accommodating more than two exposures and other confounders that are measured in the study.

Experimental results on UCI machine learning repository data sets reveal that the computational time for summarizing large text collections is drastically reduced using the MapReduce framework and MapReduce provides scalability for accommodating large text collections for summarizing.

Continuous frailty (Aalen, 1988) and random effects models (O'Quigley and Stare, 2002) are other common methods for accommodating heterogeneity, but they still rely on the PH framework.

In [14] a framework for decentralising MCP has been proposed which aims at keeping the necessary infrastructural overheads and costs for accommodating MCP to a minimum.

3D graphene-based frameworks with interpenetrating macroporous structures have attracted great interests recently since they can serve as robust matrix for accommodating guest nanoparticles for use in a wide range of applications.

Reliability testing, modeling and life time prediction/reliability statistics are combined in one framework to accommodate for the creation of application specific, highly reliable components.

Hierarchical modeling provides a straightforward framework to accommodate adjustments for potential covariates and confounders, both at the subject level (e.g., birth weight, gestational age, gender, etc).