The reproductive interests of males and females usually differ, resulting in sexual conflict. Recent studies in which experimental selection trials were carried out under conditions of either 'high' or 'low' sexual conflict show that conflict can promote speciation and reduce female reproductive success.

Interpretation against Races Roberto Barbuti Stefano Cataudella Luca Tesei Dipartimento di Informatica – Università di Pisa Via F. Buonarroti, 2 56127 Pisa Italy email: Abstract. In this paper we investigate the use of abstract interpretation techniques for statically preventing race conditions. To this purpose we enrich the concurrent object calculus conc by annotating terms with the set of “l...

Are arms races dangerous? This basic international relations question has received extensive attention.1 A large quantitative empirical literature addresses the consequences of arms races by focusing on whether they correlate with war, but remains divided on the answer.2 The theoretical literature falls into opposing camps: (1) arms races are driven by the security dilemma, are explained by the...

Sensitivity and host efficiency of susceptible ('Lee 68', 'Coker 156') and resistant ('Bragg', 'Centennial', 'Forrest', 'Lee 74') soybean (Glycine max (L.) Merr.) cultivars for races of Meloidogyne incognita (Mi) were determined in greenhouse experiments. Eight Mi populations collected from the southeastern United States were utilized. All Mi races reproduced readily on Lee 68 and Lee 74 and mo...

Modern concurrent software is riddled with data races and these races constitute the source of many problems. Data races are hard to detect accurately before software is shipped and, once they cause failures in production, developers find it challenging to reproduce and debug them. Ideally, all data races should be known before software ships. Static data race detectors are fast, have few false...

Dynamic analyses struggle to detect all of a program’s dataraces, since some data races do not manifest in observedexecutions. Predictive analyses detect true data races thatexist only in other, unobserved executions. Smaragdakiset al. introduce the causally-precedes (CP) relation and apolynomial-time analysis for sound (no false races) predic-tive data race detection. H...