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As an application, a set of functional metamodels is proposed for dataflows (usable to model continuous behaviors), state-transition systems (usable to model discrete behaviors) and a metamodel for actions (to model interactions with a target platform and concurrent execution).
A comprehensive screening of fifteen functionalized Ergot-alkaloids, containing bulk aliphatic cyclic substituents at D-ring of the ergoline molecular skeleton was performed, studying their structure-active relationships and model interactions with α2A-adreno-, serotonin (5HT2A) and dopamine D3 (D3A) receptors.
Since the main aim of the study is related to the design of new artificial catalysts and angiotensin converting enzyme (ACE) inhibitors, the model interactions with the active center of ACE are also designed, taking into account the coordination mode of the ZnII-ion, crystallographically determinate in the enzyme.
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This section focuses to describe the impact of human head model interaction with mobile phone handset [8].
We focus on stochastic games, which can model interaction with an adverse environment, as well as probabilistic behaviour arising from uncertainties.
Our results revealed failure of the SR inhibitor polyinosinic acid to block binding of any live S. aureus strains, suggesting that SR-mediated uptake of a commercial killed fluorescent bacterial particle does not accurately model interaction with viable bacteria.
The integration of TIME Estimates into Spectrum allows for further direct model interaction with Spectrum AIM, which can help improve estimates for the total HIV mortality envelope.
According to the first model, interaction with Bim results in structural perturbation at the N- and C termini of Bax, which then translocates to mitochondria, oligomerizes on the mitochondrial outer membrane and causes MOMP.
In this model, interaction with any one of the toxin receptors that are present in insect midgut cells, such as cadherin, APN or ALP, would facilitate toxin insertion into the membrane.
We have modelled interactions with age and included these in the final model, so our algorithm takes account of the differential effect of three key variables (family history of diabetes, body mass index, and smoking) at different ages.
From the mechanism and models interactions with high probability between the full-length EWS (or CTD) and Rpb3, between the EAD (NTD fragments) and Rpb5, and between the EAD and the heterodimer complex Rpb4/7 could be predicted.
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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