The repulsion factors between different elements used in the DPD simulation are listed in Table 1, where FE, HL, TL, VS, and WM denote the functional end of the ligand, the head of the ligand, the tail of the ligand, the vascular surface, and a water molecule, respectively.
In DPD simulation, the binding factor Δa is defined as the difference between the ligand receptor repulsion factor and the receptor solvent repulsion factor.
To simulate different attractive forces between ligands and the vascular surface, we varied the ligand receptor repulsion factor while keeping the receptor solvent repulsion factor constant.
Among female students, there was a characteristic decrease in the physical repulsion factor in reactions to dissection in the later stages of study.
Here, Δa = 5 indicates weak binding and the ligand receptor repulsion factor is very close to that of the ligand with solvent, while Δa = 25 indicates strong binding and the ligand receptor repulsion factor is close to zero [44].
To quote BuzzFeed news features writer, Anne Helen Petersen, who openly discusses the Hathaway "repulsion" factor in her recent Huffington Post featured blog, "Anne Hathaway Can't Win": "When you work hard, when your hard work is rewarded, when your body and beauty match societal standards, when you check every box, and still everyone tells you you're doing it wrong, that's Anne Hathaway Syndrome".
In the later years of study, however, female students displayed a definite decrease in the physical repulsion factor in reactions to dissection.
Therefore, the centroid energy and crystal-field splitting energy adjusted by repulsion factor can be written as: (3).
In this regard, studies the performance of different PSO (particle swarm optimization algorithm) variants to determine the optimum sizing of hybrid (PV/wind/Batt) system, namely, PSO, modified PSO MPSO, PSOSO based on repulsion factor (PSO-RF), PSO with constriction factor (PSO-CF), and PSO with adaptive inertia weight (PSO-W).
Two different objective function formulations assessed by PSWV (Particle swarm without velocity equation), EPSOWP (Enhanced particle swarm optimiser incorporating a weighted particle), PSO-RF (PSO with repulsion factor) and CLPSO (Comprehensive learning PSO).
