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The current model enables identification of conditions wherein condensation occurs in each GDL component.
The QSPR model enables identification of the essential structural attributes necessary for quantifying the molecular prerequisites of diverse FDs, chiefly responsible for high PCE of PSC acceptors in composition with poly 3-hexylthiophene) (poly 3-hexylthiophene
The polygenic model enables identification of several common genetic variants that each individually confers only modest risk effect to the disease.
Additionally, the molecular detail of the model enables identification of specific interactions and transport processes that influence the distribution of the anti‐VEGF agent.
This model enables identification of the K (unknown) populations of individuals, and the probabilistic assignment of each individual to one or several populations if its genotype indicates that it is admixed.
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A sensitivity analysis of the parameters of the model enabled identification of the key elements of stent design that influence the degree of stent migration including flares design, stent length as well as longitudinal and radial stiffness.
At this stage detailed process models enable identification of operating process characteristics which can be used as targeted set-points in a subsequent control design problem.
The data model enables the identification of the possible operation sequences in the specified chain.
The developed model enables the identification of the hybrid business models that are successfully pursuing an integrated cost leadership and differentiation strategy.
The use of a logic-based, discrete dynamic model enables the identification of results that are mainly due to the organization of the signaling network, and those that also depend on the kinetics of individual events.
However, an advantage of the comprehensive assembly of this mathematical model is that it enables identification of gaps in our knowledge of myometrial electrogenesis.
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