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Exact(4)

To satisfy this objective, detailed computational model for key components in the plant has been developed and implemented on simulation computer code.

We shall further adjust the model for key demographic variables such as age and ethnicity, as well as the baseline HADS score.

The eudicot A. thaliana, with a relatively small genome, is routinely used as the choice model for key comparisons with other plant genomes.

Thus, we investigated whether the LgDel mouse, a genomically accurate 22q11DS model that carries a heterozygous deletion of 28 contiguous genes on mouse chromosome 16 parallel to the minimal critical deleted region in 22q11DS patients (Merscher et al., 2001), provides a robust animal model for key features of dysphagia in 22q11DS and perhaps other neurodevelopmental disorders.

Similar(56)

For instance, Kulkarni [16] has proposed a fine-grained access control model for key-value systems denoted K-VAC, which has been first designed to operate with Cassandra,11 and then extended for the integration into HBase.12 However, the proposed solution is an ad hoc implementation and cannot be easily ported or adapted to other systems.

Such a modeling approach also requires mechanistic models for key functional components of the system (e.g., inter-domain transport processes, glycolysis, TCA cycle, oxidative phosphorylation, fatty acid β-oxidation) to be first individually developed and validated and then integrated to emulate the systems behavior at the molecular, subcellular, cellular, and tissue/organ levels.

Functional models for key power system components and loads are derived.

Overall, RANSAC demonstrated a promising ability to develop predictive models for key PV properties across multiple libraries.

The riser kinetic model is coupled with equipment models for key FCC components to form an integrated FCC process model.

These eight examples demonstrate the possibilities of PNC curve interpolation and handwritten character modeling for key nodes in the MHR version.

With this in mind we present in this work the adaptation, implementation, and the first application of the RANdom SAmple Consensus (RANSAC) method [34] to the field of material-informatics by deriving predictive models for key photovoltaic properties of solar cells.

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