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An optimal reconstruction of the neutronic activity field can be determined for a nuclear reactor core using a data assimilation framework to merge information from models and measurements.
Solutions to mobilize the best available science include a focus on decision-relevant timescales, a greater role for targeted model evaluation before disseminating information from models and the integration of climate variability into climate change services.
However, it is clear that there is a need to retain fine spatial resolutions at large scales wherever possible in order to still retrieve meaningful information from models or indeed observations, such as identifying individual assets at risk from flooding for instance.
Since clinical data are usually restricted to very few points in time, one tries to gain additional information from models, such as Multicellular Tumor Spheroids (MTS) [5] [8], or from ex vivo experiments of transplants in lab animals, such as mice [9] [11].
However, one can obtain indirect information from models from other dynamic systems.
In each of these examples, the observed dopamine prediction error responses are not fully explained by the actual experience with reward but incorporate information from models of the world.
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This facilitates identification of orthologs and extrapolation of functional information from model plants to crops.
Therefore, information from model plants can only serve as a reference.
We have used this information from model 2A (see Table S1) to calculate the sensitivities and specificities of the post-mortem tests with binary outcome to detect modeled M. bovis infected animals (Table 2).
Information from model plants like rice, Brachypodium, or Arabidopsis can be applied directly to diploid wheat.
Comparative genomics is a powerful tool to transfer genomic information from model species to related non-model species.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com