We provide exact relations giving the probability of individual and coalitional manipulation of three specific social choice functions (Borda rule, Copeland rule, Plurality rule) in three-alternative elections when the notion of self-selectivity is imposed. The results suggest that the Borda rule is more vulnerable to coalitional manipulation than the Copeland rule and the Plurality rule. Howev...

integrally skinned asymmetric membranes based on nanocompositepolyethersulfone were prepared by the phase separation process using the supercritical co2 as a nonsolvent for the polymer solution. in present study, the effects of temperature and nanoparticle on selectivity performance and permeability of gases has beeninvestigated. it is shown that the presence of silica nanoparticles not only di...

in the present work, b-zsm-5 zeolite membranes were synthesized on porous tubular α-alumina supports by several subsequence in situ crystallization hydrothermal treatments. the tio2- bohmite and ɣ- alumina intermediate layers were applied to improve the lattice matching between zeolite layer and the support. the uniform membrane intermediate layers with low permeation resistance were prepared o...

this study deals with the uptake of cd2+ and  mn2+ ions from contaminated water using two iranian natural clinoptilolite-rich tuffs from meyaneh (z-m), and semnan (z-s) regions , and a synthetic zeolite-p from z-m sample (z-p) under static (batch operation) and dynamic (column operation) conditions. to investigate the selectivity of the zeolites toward cd2+ and mn2+ cations, the ion exchange is...

We introduce and study two parameters of nodes in tries with multi-digit branching. The first parameter, which we call a density of a multi-digit node, is a ratio of the number of non-empty pointers (i.e. pointers to the attached non-empty sub-tries) to the total number of pointers in this node. The second parameter, which we call a selectivity of a node, is a ratio of the number of pointers to...

If classifiers are selected from a hypothesis class to form an ensemble, bounds on average error rate over the selected classifiers include a component for selectivity, which grows as the fraction of hypothesis classifiers selected for the ensemble shrinks, and a component for variety, which grows with the size of the hypothesis class or in-sample data set. We show that the component for select...