Abstract For neural network potentials (NNPs) to gain widespread use, researchers must be able to trust model outputs.However, the blackbox nature of neural networks and their inherent stochasticity are often deterrents, especially for foundation models trained over broad swaths of chemical space.Uncertainty information provided at the time of pred

Irony has repeatedly been suggested as a language based social cognition task.It has been argued to show specific variances in psychiatric disorders and healthy adults with certain personality traits.Above that, irony comprehension is based on a complex interplay of the informational context, the relationship of the conversational partners, and the

Surgical techniques have emerged as a viable therapeutic option in patients with drug refractory epilepsy.Pre-surgical evaluation of epilepsy requires a comprehensive, multiparametric, and multimodal approach for precise localization of the epileptogenic focus.Various non-invasive techniques are available at the disposal of the treating physician t

Phylogenetic relationships among mediophycean diatoms with elliptical valve outline and elevated apices have long been a subject of interest and debate, particularly with respect to canon imageclass mf227dw their relationship to pennates.However, results remain inconclusive, whether based on vegetative valve morphology, reproduction, or molecular p

Investors constantly look for significant predictors and accurate models to forecast future results, whose occasional efficacy end up being neutralized by market efficiency.Regardless, such predictors are widely used for seeking better (and more unique) perceptions.This paper aims to investigate to what extent some of the most notorious indicators