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One goal of component-based software engineering in large-scale scientific simulations is to help manage such complexity by enabling better interoperability among codes developed by different groups.
The goal of principal component analysis (PCA) is to reveal how different variables change in relation to each other and how they are associated (Nardo et al. 2008).
Consequently, we suggest that restoring the original posterior slope of the tibial plateau must be a goal of tibial component implantation.
The goal of principal component analysis is to filter out the irrelevant "noise" in existing data set and to identify the most meaningful basis to present a data set.
The goal of this component of the curriculum was to help the clinicians optimize their journal-reading time and habits.
The goal of this component of the curriculum was to guide participants in identifying specific learning needs.
The goal of this component of the curriculum was to have participants identify optimal resources for answering clinical questions.
The goal of tibial component positioning is to maximize coverage to prevent settling (Lemaire et al. 1997), and to achieve a neutral tibial alignment.
The goal of this component is to provide a framework or scaffold for organizing the genetic variants and their phenotypic relationships.
The goal of this component is to provide a flexible mathematical framework for combining genotypic and nongenotypic values to produce phenotypic values.
The goal of this component of the curriculum was to have participants generate and record in their individual pocket-size diary at least one clinical question for each patient they admitted.
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