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Using an event-size distribution model, we conclude that their impact on the LISA science data is manageable.
In this section, based on the previous mentioned SIR epidemic model, we conclude the amount number of the infective nodes at some exact time.
Out of this model, we conclude that the major cause of Zigbee packet loss is the inability of Wi-Fi to detect Zigbee transmissions.
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.
Invoking again the acoustic mismatch model, we conclude that the transmission coefficient of the solid/solid interface is smaller than the reflection coefficient, which is not surprising if we consider the acoustic impedance ratio of the two materials.
Similar(38)
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.
After comparing these three models, we conclude that the seismic moment and moment rate functionare well constrained.
The results show that the proposed MONF model outperforms the above benchmark models; we conclude that the MONF model is a new alternative tool that should be used in flood susceptibility mapping.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com