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The study of language evolution using biological methods has attracted much interest of late, most approaches focusing on language tree construction.
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Most approaches focus on the inter-domain routing problem and use a hierarchical architecture to achieve route optimization.
Most approaches focus on limited perspectives on cognition or simply ignore the political, psychological, and philosophical aspects of the concept of intelligence.
Importantly, in empowerment, the actuatoric dynamics plays a role that is explicitly conjugate to the sensory dynamics, whereas most approaches focus on the sensory time series while their actuatorics is essentially implicit.
Most approaches focus on the calculation of the additive genetic value of a QTL, which is then combined with other information using a selection index approach [ 7– 10].
While most approaches focus on the disorder property, Stein et al. took a structure based approach focusing on the fact that most motifs that are found in disordered regions will take defined structure(s) upon binding [ 88].
Most approaches focus on the in vitro expansion of corneal endothelial cells onto synthetic or biological scaffolds like denuded Descemet's membrane, stromal disc, collagen matrix, gelatin hydrogel disc, chitosan-based membranes, and so forth [ 3].
Most approaches focused on the aqueous phase do not produce accurate information on the protein dynamics at the surface of the membrane, where the activation and reciprocal interactions of Bcl-2 proteins occur.
With most approaches, focus lies on the production expenses as they cause the significant share of total product costs.
While rare somatic mutations may be directly incorporated in pathway analyses, there is no corresponding approach to identify rare SCNAs: most approaches focus on the problem of identifying SCNAs that are individually significant.
This poses challenges for the differentiation of drivers versus passengers, as most approaches focus on recurrently mutated genes, and less frequently mutated genes are probabilistically defined by comparison to the background mutation rate across the whole genome [ 7].
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CEO of Professional Science Editing for Scientists @ prosciediting.com