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Beyond biological applications, the framework is applicable to a wide range of high-throughput applications where large sample counts are required to achieve statistical significance.
This framework is applicable across a broad range of test applications and can be helpful in the application and communication of a regulatory science for genomic testing.
However, the proposed framework is applicable to any type of tree architecture.
The framework is applicable to all discrete planar Schrödinger setups, including those with non-uniform connectivity.
The proposed framework is applicable to complex linear and nonlinear dynamical systems.
Our general framework is applicable to any numerical discretization procedure for solving ODEs or PDEs.
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However, our proposed framework are applicable both on indoor and outdoor environments.
The concept and the mechanism of the proposed Bayesian estimation framework are applicable and tunable to other wavelet-based image processing tasks.
Further research is needed to determine how specific components of the framework are applicable for such groups, in other geographic settings, and to other illnesses.
In consideration of its goals, purposes, and principles, we questioned if the ICPS framework was applicable to patient safety within the homecare context.
In summary, the Payback Framework was applicable and very useful for structuring the data collection for primary health care research projects, despite overlap between two sub categories and the non-applicability of another.
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