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As MHs belong to these two different medical treatment systems, we wanted to ask them how they assess safety for their patients.
Given the downregulation of SOX2 following OTX2 overexpression in our model systems, we wanted to determine whether introduction of exogenous SOX2 could rescue the cell deficits in OTX2+ SHH MB and hENs.
Based on the methylome data obtained and comparative analysis performed on the identified R-M systems, we wanted to verify that both B. longum strains encode MTases that protect the respective genomic DNA.
In the light of this result for equilibrium systems, we wanted to find a generalisation in which the modules are no longer individual binding sites but are represented by potentially complex graphs, which may not be at thermodynamic equilibrium.
Based on the above findings showing a clear-cut activity of MT2 in several in vitro systems, we wanted to assess its ability to rescue NGF deficit in a recently characterized rat hippocampal neuronal model, in which NGF deficit is strictly connected to the activation of the amyloidogenic pathway.
However, in light of significant species-specific difference in response to DPOFA in tissue slice-based CNS experimental systems we wanted to develop additional support for using bovine RPE-choroid system as a tool capable of predicting DPOFA response in human RPE.
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Aiming towards more autonomous robot systems, we want to improve flexibility.
To test safety-critical systems we want to do better than relying on accidental coverage correlations.
What can we learn and bring back?' In partnership with robotic systems, we want to go to as many places as we can.
In Formal Methods we use mathematical structures to model real systems we want to build, or to reason about; in this paper we are concerned principally with game-based models.
When comparing across datasets, it is important that we compare samples of the data containing exactly the same nodes, as in smaller or larger samples the basic characteristics, as, for example, the number of edges, may differ, thus giving the reconstruction systems we want to compare different starting chances.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com