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From our model we concluded that diverse opinions and the ability for individuals to think are important to dampen cascades to achieve a robust society.
Since the same tendencies were observed in the results from both the Logic Operation and the BDID model, we concluded that the distributions we observed were unlikely to be artefacts of our experiment.
Because the rank-transformed values would be the same under any reasonable progression model, we concluded that the non-linearity in the time-to-event data reflects a real biological property of Aβ load and not a feature of the relationship between PIB PET and CSF Aβ42.
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Using an event-size distribution model, we conclude that their impact on the LISA science data is manageable.
Conclusions: From our observations using a pig model, we conclude that skin flaps may be safely laser resurfaced about 1 week postoperatively.
From the shape of the catalyst particles and by adopting a simple model we conclude that the fibers coil due to blocked carbon diffusion pathways on or through the catalyst particles.
Based on the analysis using this model, we conclude that the structural stability of SEI film is increased and the interfacial compatibility between the lithium substrate and the SEI film is improved by 1,3-dioxolane or 1,4-dioxane pretreatment.
In order to derive further requirements for the model, we conclude with a detailed analysis of utterances missing in the simulated corpus and consider the believability of entire dialogs.
Despite uncertainty as to the robustness of precipitation patterns and the simplified tectonic and geomorphic framework of our model we conclude that spatial variability in precipitation is a potentially significant contributor to passive margin escarpment evolution.
Using a structurally estimated version of this model, we conclude that the firm-level responses to the slump in domestic demand in Spain could well have accounted for around one-half of the spectacular increase in Spanish goods exports (the so-called 'Spanish export miracle') over the period 2009-13.
In this section, based on the previous mentioned SIR epidemic model, we conclude the amount number of the infective nodes at some exact time.
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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