The collective praise intervention: A brief intervention highlighting prosocial behavior reduces hostility towards Muslims

Muslims are consistently the target of dehumanization and hostile policies. Previous research shows that interventions that highlight the hypocrisy wherein people collectively blame entire groups for the heinous acts of individual members of outgroups but not ingroups are effective in reducing animosity towards Muslims. However, these interventions rely on aversive materials (e.g., terrorist acts), which can hinder the scalability of interventions due to individuals’ tendency to resist/avoid challenging and aversive stimuli. In three preregistered studies (combined N = 2,635), we developed and tested a nonaversive, hypocrisy-based intervention that highlights the hypocrisy involved in attributing ingroup members’ prosocial acts to the entire ingroup (i.e., Christians) but not doing the same for outgroup members (i.e., Muslims). Results indicated that this collective praise intervention reliably reduces dehumanization of Muslims, anti-Muslim policy support, and collective blame of Muslims. We argue that the intervention’s use of nonaversive stimuli allows for both practical and scalable applications.

Towards Integrating Blockchains with Microservice Architecture Using Model-Driven Engineering

Blockchain presents a feasible method to persist immutable information in a distributed ledger to improve the level of authentication and trust. Moreover, smart contracts enable the automated execution of any contract concluded between participants of the Blockchain network. On the other hand, Microservice Architecture (MSA) is a novel approach towards service-based scalable applications. In our paper, we present an approach based on Model-Driven Engineering (MDE) that aims to facilitate the integration process of Blockchains into MSA-based applications in order to benefit from the advantages attributed to Blockchains.

Multi-SPMD Programming Model with YML and XcalableMP

This chapter describes a multi-SPMD (mSPMD) programming model and a set of software and libraries to support the mSPMD programming model. The mSPMD programming model has been proposed to realize scalable applications on huge and hierarchical systems. It has been evident that simple SPMD programs such as MPI, XMP, or hybrid programs such as OpenMP/MPI cannot exploit the postpeta- or exascale systems efficiently due to the increasing complexity of applications and systems. The mSPMD programming model has been designed to adopt multiple programming models across different architecture levels. Instead of invoking a single parallel program on millions of processor cores, multiple SPMD programs of moderate sizes can be worked together in the mSPMD programming model. As components of the mSPMD programming model, XMP has been supported. Fault-tolerance features, correctness checks, and some numerical libraries’ implementations in the mSPMD programming model have been presented.

Sustainable Carbene Transfer Reactions with Iron and Light

Carbenes are versatile, highly reactive intermediates with great importance in chemistry. We recently reported on our findings on safe and scalable applications of hazardous diazoacetonitrile using cheap and commercially available iron catalysts in efficient carbene transfer reactions, ranging from cyclopropanation towards C–H functionalization reactions for the synthesis of biologically important building blocks. More lately, we uncovered the reactivity of diazoalkanes under photochemical conditions using visible light and were able to demonstrate a variety of different, metal-free carbene transfer reactions, which now open up new sustainable ways for the construction of small functional molecules.1 Introduction2 Iron-Catalyzed Carbene Transfer Reactions of Diazoacetonitrile3 Metal-free Carbene Transfer Reaction with Visible Light4 Summary