Response-locked component of error monitoring in psychopathy: A systematic review and meta-analysis of error-related negativity/positivity

Prior findings reported that externalizing behaviors are closely related to disturbances in error monitoring. It has been suggested that these impairments are not applied to individuals with psychopathy. However, mixed results are reported in the field considering the etiological heterogeneity of the psychopathy construct. Most of the scales for the assessment of psychopathic traits use a modern conception of psychopathy. This conception suggests a pathological personality construct comprising factor conceptualization rather than a unitary construct. Deficits in error-related processing measures with event-related potential components are reported among individuals with psychopathy, but it is unclear whether these deficits are modulated by an interpersonal-affective or an impulsive-antisocial dimensio

The RHOSSA campaign: Multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack

The necessity of characterizing snow through objective, physically motivated parameters has led to new model formulations and new measurement techniques. Consequently, essential structural parameters such as density and specific surface area (for basic characterization) or mechanical parameters such as the critical crack length (for avalanche stability characterization) gradually replace the semiempirical indices acquired from traditional stratigraphy. These advances come along with new demands and potentials for validation. To this end, we conducted the RHOSSA field campaign, in reference to density (ρ) and specific surface area (SSA), at the Weissfluhjoch research site in the Swiss Alps to provide a multi-instrument, multi-resolution dataset of density, SSA and critical crack length over the complete winter season of 2015–2016. In this paper, we present the design of the campaign and a basic analysis of the measurements alongside predictions from the model SNOWPACK. To bridge between traditional and new methods, the campaign comprises traditional profiles, density cutter, IceCube, SnowMicroPen (SMP), micro-computed-tomography, propagation saw tests and compression tests. To bridge between different temporal resolutions, the traditional weekly to biweekly (every 2 weeks, used in this sense throughout the paper) snow pits were complemented by daily SMP measurements. From the latter, we derived a recalibration of the statistical retrieval of density and SSA for SMP version 4 that yields an unprecedented spatiotemporal picture of the seasonal evolution of density and SSA in a snowpack. Finally, we provide an intercomparison of measured and modeled estimates of density and SSA for four characteristic layers over the entire season to demonstrate the potential of high-temporal-resolution monitoring for snowpack model validation