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The design of approaches to improve the convergence of the COA is a challenging issue.
These data have implications for the design of approaches to targeted cancer therapy involving the crosstalk between Aurora-A kinase and p53 pathways.
They are useful in therapeutic choice for they allow the design of approaches that can predict the respective drug sensitivity of each molecular subtype.
In this paper, we elaborate on the systematic design of approaches that combine quantum clustering with intelligent models for knowledge extraction, learning, and representation.
As a consequence, the design of approaches and tools addressed to facilitate the selection of biomedical ontologies is becoming a priority.
We further review current practices regarding quasi-experimental studies in three non-health fields that utilize systematic reviews (education, development, and environment studies) to inform the design of approaches for synthesizing quasi-experimental evidence in health systems research.
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This motivated new sampling strategies or design-of-experiment approaches, such as coherence-optimal sampling, which aim at improving the coherence property.
The reduction of heterogenite in hydrogen was studied via a design-of-experiment approach.
We first applied a design-of-experiment approach where the slopes in the Pareto plots were proportional to the contribution of the processes that were driving the optimization.
S.H. participated in the design of quantitative approaches and discussion of results.
However, all of these stations have issues with the design of passenger approaches.
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