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The model requires knowledge of in-situ strain and temperature distribution in a structure while acquiring piezoelectric sensor signals.
The model requires knowledge of the reaction kinetics and the flow field, but does not, however, contain any arbitrary parameters.
Designing a state estimator for a linear state-space model requires knowledge of the characteristics of the disturbances entering the states and the measurements.
Given the interdisciplinary nature of the problem, such a model requires knowledge from multiple fields, such as disaster risk, transportation engineering, and network systems.
The model requires knowledge of the number of nodes and links in the network, but needs no other ecological information.
Modelling this directly, either in a statistical model or in a transmission model, requires knowledge of immunity in the population.
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The implementation of sample parametric models requires knowledge of the probability laws of target random elements.
In each case, a complete understanding of these models requires knowledge of macaque MHC.
In each case, a complete understanding of these models requires knowledge of the macaque major histocompatibility complex (MHC).
The construction of optimal experimental designs for regression models requires knowledge of the information matrix of a single observation.
The empirical implementation of these models requires knowledge of the volume and composition of the funds invested in constructing HSR lines as well as the inter-industry flows, ideally on a fine-grained spatial scale to understand how different areas of the local economy react to such construction projects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com