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The objective of the present study was to evaluate the biodistribution of nanoparticles in the rat model with particular emphasis on the gross pathology, vascular system, and general animal condition after multiple injections of a high dose of CNP.
In this paper, we construct and analyze a spatial random walk model with particular attention to the synthesis of anomalous diffusive behaviors and spatial directional preference, as well as statistical inference under discrete sampling.
observable) non-delayed system can loose these properties if we augment the model with particular pure input-output variable delays caused by a situation of overload in the networked control architecture.
Data from the two different methane/air jet experimental databases is examined to understand the effects of spatial variations in the conditional averages of reactive scalars in the context of the Conditional Source-term Estimation (CSE) model, with particular emphasis on the double-conditional version, DCSE.
In this study we evaluate the general utility of genome-wide and locus-specific DNA methylation assays in a mouse model with particular emphasis on the identification of early mechanism-based markers for non-genotoxic carcinogenesis (NGC).
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Another improvement in an LVCSR system development is the use of higher than 4-gram language models, with particular emphasis on N-gram phoneme-based language models.
This chapter discusses the conceptual basis and rationale for modeling, with particular emphasis on the role of dynamic computational and mathematical models in biomedical research.
These comprise cross-sections, seismic lines, subsurface maps and borehole data to constrain geometrically coherent local 3D geological models, with particular focus on the Pliocene and Pleistocene units.
Introduced is a categorisation of bulk-material responses and cohesive zone models with particular prominence to the role of rate and plasticity.
The blood/air and fat/air partition coefficient data sets have been applied to a validation of literature models, with particular remark on the performance for specific compound classes.
This chapter aims to review the latest advances in three-dimensional bioengineered cancer modeling, with particular focus on models that retain the biological and physical characteristics of the in vivo tumor microenvironment.
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