Comparison between different PSO algorithms on function 4–6. by Lai Xu (1828831)

“…<p>Comparison between different PSO algorithms on function 4–6.</p>…”

Comparison between different PSO algorithms on function 1–3. by Lai Xu (1828831)

“…<p>Comparison between different PSO algorithms on function 1–3.</p>…”

Comparison between different PSO algorithms on function 7–8. by Lai Xu (1828831)

“…<p>Comparison between different PSO algorithms on function 7–8.</p>…”

RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. by Arian Ashourvan (6685232)

Convergence curves on the functions CL4, CL11, CL13, CL14, CL18, CL19, C17F1, C17F2, and C17F4. by Mahmood A. Jumaah (22272371)

Subjects:

The SCOPer algorithm can be run efficiently on multiple cores. by Nima Nouri (2183760)

Mutations of the gene expression fold change (FC) over wildtype. by Fangzhou Shen (5140994)

Subjects:

Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

Local topological scales of hierarchical community organization in structural and functional brain graphs. by Arian Ashourvan (6685232)

Wilcoxon signed-rank test results comparing IFOX with other optimization algorithms across CL, C17, C19, C21, C22, and RWPs. by Mahmood A. Jumaah (22272371)

Subjects:

Friedman test average rankings of IFOX and competing optimization algorithms across CL, C17, C19, C21, C22, and RWPs. The “Position” column indicates the overall rank based on the... by Mahmood A. Jumaah (22272371)

Subjects:

Significantly dysregulated proteins (|log2FC | ≤  0.5, adj. p-value ≤  0.05) in SCA1 (805 proteins). by Aimilia-Christina Vagiona (17584758)

Subjects:

Fold Change (FC) in protein levels among non-survivors compared to survivors in 40 CERES participants. by Yue Ren (1311615)

Subjects:

Average Friedman test ranks (left) and pairwise average Wilcoxon signed-rank test p-values (right) for all compared optimization algorithms across CL, C17, C19, C21, C22, and RWPs. by Mahmood A. Jumaah (22272371)

Subjects:

DataSheet1_The evolution of flexibility and function in the Fc domains of IgM, IgY, and IgE.pdf by Rosaleen A. Calvert (10039787)

“…Introduction<p>Antibody Fc regions harbour the binding sites for receptors that mediate effector functions following antigen engagement by the Fab regions. …”

Algorithm membership function. by Mohamed Raef Smaoui (9865830)

“…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …”

Changes in the relative abundances of signaling functions across initial GA-LR pairs. by Erick Armingol (5125595)

“…Changes were computed from the fold change (FC) between the relative abundance in each of the 100 runs of the genetic algorithm (GA) with respect to the corresponding relative abundance in the complete list of LR pairs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010715#pcbi.1010715.s002" target="_blank">S1 Table</a>), and shown as the log10(FC+1) transformation (x-axis). …”

Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Subjects: