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The polymer structure was modelled by polydisperse hard spheres, and microstructure evolution of the material was inferred from the development of the fitting parameters.
Lewis and co-workers previously reported the details regarding the development of the fitting algorithm used to describe the complex ITC binding isotherms obtained in the forward titrations.
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Reliable demand forecasts and sharing of information on future therapeutic developments between technical agencies and pharmaceutical companies was also identified as a need to ensure that the development of products fits the ARV recommendations.
The internal-external cross-validation approach involves removing just one study from the development phase of the model, fitting the model on the remaining IPD, and then testing performance in the excluded study.
A.M.A. guided the development of the rotation measure fitting code.
Examples of this research include development of the slim-fit jacket (Cho 2008; Yang and Seong 2011), an establishment of crotch ease of men's slacks (Kim 2008), and 3D body scanner testing (Suh and Chun 2004; Hong and Suh 2012).
Results from these evaluations can also be addressed for the development of the Stay-FIT intervention.
During the development of the PRO-FIT intervention, we aimed to focus on the earlier-mentioned factors of behavioural change identified in the I-Change model.
Conceptually, the realization that proteins can undergo conformational changes during or after ligand binding has led to the replacement of the traditional view of proteins as rigid objects in the so-called "lock-and-key" model(11) and to the development of the "induced-fit" (IF)(12) and "conformational selection" (CS) models of molecular recognition.
The following paper outlines the development of empirically fitted and pseudo-physically derived compartment models of a flighted rotary dryer with counter current airflow processing solid material.
It should be noted however that MCA is an exploratory technique, based on a philosophical orientation that emphasizes the development of models that fit the data, rather than the rejection of hypotheses based on the lack of fit (Benzecri's 'second principle').
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