This study uses open source, public information to examine nation-state and non-nation-state ideologically motivated cyberattacks performed against US targets from 1998 to 2018. We created the Extremist Cyber Crime Database (ECCD) that includes scheme, offender and target codebooks to address gaps in existing research and better inform policymakers. We describe our open source collection procedures, the type of information uncovered, and how we assessed their quality and reliability. We highlight our findings, compare these extremist cyber-crimes to extremist real world violence, and discuss their conceptual and policy implications.

Liquid-like membraneless organelles form via multiple, weak interactions between biomolecules. The resulting condensed states constitute novel solvent environments inside eukaryotic cells that partition biomolecules and may favour particular biochemical reactions. Here we demonstrate that, in addition to attractive interactions, repulsive electrostatic interactions modulate condensate properties. We find that net charge modulates the formation, morphology and solvent properties of model Ddx4 condensates in cells and in vitro and that a net negative charge is conserved across germ cell-specific Ddx4 orthologues. This conserved net charge provides a sensitivity to multivalent cations that is not observed in somatic paralogues. The disfavouring effect of a net negative charge in Ddx4 orthologues appears to be offset by increased charge patterning, indicating that fine tuning of both attractive and repulsive interactions can create responsive solvent environments inside biomolecular condensates.

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This study applies routine activities theory to determine whether the characteristics of jihadi-inspired web defacements in the United States vary from all other defacements performed against IP addresses hosted within the United States from 2012 to 2016. We focus on target suitability variables and use a sample of over 2.2 million defacements reported by the independent website Zone-H. We estimated a binary logistic regression model and found that jihadi cyberattacks were rare among all the defacements performed in this 5-year period. Additionally, these findings demonstrated jihadists were more likely to target organizational websites and utilized specific attack methods compared to all other defacers. We contextualize our findings and outline a number of avenues for future research.

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