The pull-out test model was used to predict honeycomb wall buckling with a nodal rotation vector sum criterion.
The phenomenon reflects the fact that the average sum criterion favors BE users with better CSI, resulting in the degradation of FI, which conforms to the traditional point of view.
Our next task entails estimating the divergence times at internal nodes of each of the strain-tree topology candidates that we computed so as to optimize the weighted sum criterion, as described above.
If a summed criteria score exceeded 5, then we labeled the simulation a 'very poor' fit.
We used summed criteria scores to provide ranges for optimized parameter values (Table 2).
If a summed criteria score exceeded 0.5 but was <1.0, we labeled the simulation a 'fair' fit, while scores <0.5 were considered a 'good' fit.
For each simulation, if a summed criteria score exceeded 1, then we labeled the simulation a 'poor' fit to the summary measure.
Reliability was assessed as the ICC across the three ratings for each norm-referenced measure and the sum of criterion-referenced measure scores.
When we examined the sum of criteria for each individual, we found that 39% of patients had clinical symptoms only, 40% had two criteria, i.e., clinical symptoms plus serum tTGx10 normal or HLA, and only 154 (20.7%) of 749 patients had all 3 criteria thereby qualifying for a diagnosis without a biopsy.
By means of a normalized weighted sum of criteria for evaluating solutions, the local search heuristics were tailored to improve the features of the initial solution.
Based on the sum capacity criteria, we derive and propose several multiple-relay selection techniques in AF relay networks with multiple source nodes.
