Abstract Beyond ethnographic portrayals of religious competition as conducive to rupture and separation, this article shows forms intradenominational competitive coexistence that allow for both the social reproduction community faith change innovation. In a Spanish village, Catholic congregants compete not only secure worldly resources such priestly time or church-owned spaces, but also over le...

Kuiper Belt Objects (KBOs) are generally very faint and cannot in practice be monitored with a well-sampled long-term light curve; so our discovery of the bright KBO 2000 EB173 offers an excellent opportunity for synoptic studies. We present a well-sampled photometric time series (77 R magnitudes and 29 V magnitudes on 78 nights) over a 225-day time span centered on the 2001 opposition. The lig...

The objective of this study was to determine the variables that predicted serve efficacy in elite men's volleyball, in sets with different quality of opposition. 3292 serve actions were analysed, of which 2254 were carried out in high quality of opposition sets and 1038 actions were in low quality of opposition sets, corresponding to a total of 24 matches played during the Men's European Volley...

Are Muslim immigrants subjected to targeted opposition (i.e., Islamophobia) on their pathway to US citizenship? Using a list experiment and a representative sample of the US population, we compare explicit and implicit opposition to Muslim and Christian immigrants. We find that Muslim immigrants, relative to Christian immigrants, experience greater explicit resistance. However, when social desi...

Existing studies of judicial decisionmaking have found that elected judges are more likely to dissent and to oppose judges from the same party. These findings are explained by elected judges having stronger preferences for risk or being more independent. In this paper, I offer an alternative explanation: judges’ efforts to be retained should yield different patterns of opposition among judges f...

This paper proposes the integration of the generalized opposition based learning into compact Differential Evolution frameworks and tests its impact on the algorithmic performance. Opposition-based learning is a technique which has been applied, in several circumstances, to enhance the performance of Differential Evolution. It consists of the generation of additional points by means of a hyper-...