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Does this scenario fit the SKG RA model or human RA itself?
If we consider that some RA exposed NTERA2.Tom cells divide before they commit to differentiate, then the biological 0 hours RA experiment is actually represented by a mix of the 0 hour and 24 hour RA model data.
The correlation obtained by the training ANN model are better than the one obtained by training RA model.
On the other hand, prediction values obtained the testing RA model is slightly better performance than the testing ANN model.
The Risk Analysis (RA) model attempts to simulate reality, thus it is inevitable that there will be simplifying assumptions and idealizations of rather complex processes and phenomena.
The RA model was constructed from computed tomography datasets, taking into account three major characteristics: synovial proliferation, cartilage destruction and ligamentous laxity.
Similar(8)
where g, ρ, and λ n,n∈{S1,S2} follow the similar definition as in the OWT-RA model.
In the TWT-RA model, the secondary transmission is completed in three equal phases, i.e., (P_{t}left ({n} right) = frac {1}{3}), n∈{S1,S2,SR}.
In the OWT-RA model, S1 and SR transmit in two separate equal phases, i.e., (P_{t}left ({n} right) = frac {1}{2}), n∈{S1,SR}.
In TWT-RA model, S1 and S2 exchange information with the help of SRs (i.e. S1⇔ SR ⇔S2) when no direct link between S1 and S2 is available.
In the OWT-RA model as shown in Fig. 1 a, S1 is the transmit node and S2 is the receive node.
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