On the <Emphasis Type="Italic">m</Emphasis>-clique free interval subgraphs polytope: polyhedral analysis and applications

In this paper we study the m-clique free interval subgraphs. We investigate the facial structure of the polytope defined as the convex hull of the incidence vectors associated with these subgraphs. We also present some facet-defining inequalities to strengthen the associated linear relaxation. As an application, the generalized open-shop problem with disjunctive constraints (GOSDC) is considered. Indeed, by a projection on a set of variables, the m-clique free interval subgraphs represent the solution of an integer linear program solving the GOSDC presented in this paper. Moreover, we propose exact and heuristic separation algorithms, which are exploited into a Branch-and-cut algorithm for solving the GOSDC. Finally, we present and discuss some computational results.     

Predictors of aggression among Palestinians in Israel and Gaza: Happiness,need to belong,and self-control

The present study examined a strong need for belonging (sensitivity to social rejection) as a risk factor and happiness and self-control skills as protective factors in predicting peer-directed aggression among 292 Israeli Palestinian Arab adolescents and 398 Gazan Palestinian Arab adolescents of similar ages (mean ~ 14 years). Findings demonstrated that the two Palestinian groups showed similar aggression rates, but Israeli Palestinians revealed higher self-control, higher happiness, and higher need for belonging than their Gazan peers. Moreover, each of the three predictors, separately, was significantly linked to aggression for the Israelis but not for the Gazans. Possible explanations are discussed related to sex, cultural differences, and life conditions.     

Bayesian CV@R/super-quantile regression

In this paper we provide a Bayesian interpretation of the conditional value at risk, CV@R, or super-quantile regression recently developed by Rockafellar et al. [Super-quantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk, Eur. J. Oper. Res. 234 (2014), pp. 140–154]. Computations are based on particle filtering using a special posterior distribution consistent with the super-quantile concept. An empirical application to data used by RRM as well to another data set on energy prices confirms their results and shows the applicability of the new techniques.