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This paper explains the fundamental mechanisms that control the ductility of all RC members and describes a mechanics based model that can simulate these mechanisms.
In that way the relationship between strain and electrical resistance could be evaluated by formulating a physics based model that can be easily contrasted with the experimental characterization of a simple benchmark system.
In the field of pesticide controlled release technology, a computer based model that can predict the delivery of the Active Ingredient (AI) from fabricated units is important for purposes of product design and marketing.
This protocol serves as an evidence based model that can reduce practice variability and set up a more uniform standard of care, especially in developing countries.
The usefulness of these PBPK predictions is critically dependent on having confidence that the PBPK model is not just a set of adjustable parameters but, instead, represents a true "physiologically based model" that can be extrapolated to conditions that are different from those that were used to derive the model parameters.
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The design and operation of air sparging and soil vapor extraction (AS/SVE) remediation systems remains in large an art due to the absence of reliable physically based models that can utilize the limited available field data.
Electronic medical record (EMR) based models that can be used to predict risk on multiple disease conditions among a wide range of patient demographics early in the hospitalization are needed.
Furthermore, we compared the effect of using the CONT-specific station-based noise model versus the average station-based model that can be found in Table 5 and Fig. 4. Here, the differences in the baseline length repeatabilities are less pronounced.
The mathematical and logical combination of the outcome of the respective qPCR methods based on the presence (Tm value) and the amount (Ct value) can be organized in a two-worksheet Excel-based model, that can be (relatively) easily adapted to cover different scopes (at species level), new GM-events and additional GM-screening elements (data not shown).
Businesses like Radian6 and Dell need a scalable, cloud-based model that can easily be deployed, he explains.
Given the inconsistency in the data, it is impossible to develop a convincing and comprehensive physical-based model that can predict all the trends.
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