Accuracy of a Rapid-Response EEG's Automated Seizure-Burden Estimator: AccuRASE Study.

Background And Objectives: The use of rapid response EEG (rr-EEG) has recently expanded in limited-resource settings and as a supplement to conventional EEG to rapidly detect and treat nonconvulsive status epilepticus. The study objective was to test the accuracy of an rr-EEG's automated seizure burden estimator (ASBE).

Methods: This is a retrospective observational study using multiple blinded reviewers.

The role of selective attention in implicit learning: evidence for a contextual cueing effect of task-irrelevant features.

With attentional mechanisms, humans select and de-select information from the environment. But does selective attention modulate implicit learning? We tested whether the implicit acquisition of contingencies between features are modulated by the task-relevance of those features. We implemented the contingencies in a novel variant of the contextual cueing paradigm.

Predicting removal of arsenic from groundwater by iron based filters using deep neural network models.

Arsenic (As) contamination in drinking water has been highlighted for its environmental significance and potential health implications. Iron-based filters are cost-effective and sustainable solutions for As removal from contaminated water. Applying Machine Learning (ML) models to investigate and optimize As removal using iron-based filters is limited.

A roadmap to closing the evidence-to-practice gap in status epilepticus.

Status epilepticus (SE) is a time-sensitive, potentially life-threatening neuro-emergency associated with poor functional outcomes and increased hospital resource utilization especially when it progresses to refractory or super-refractory forms. Timely recognition & treatment improves outcomes, however gaps between recommended and implemented care are common and pervasive. This review provides a roadmap for incorporating the relatively new field of Implementation Science in promoting the systematic uptake of evidence-based practices into the real-world care of patients with SE.

Inhibitory modulation of action potentials in crayfish motor axons by fluoxetine.

The goal of this report is to explore how K2P channels modulate axonal excitability by using the crayfish ventral superficial flexor preparation. This preparation allows for simultaneous recording of motor nerve extracellular action potentials (eAP) and intracellular excitatory junctional potential (EJP) from a muscle fiber. Previous pharmacological studies have demonstrated the presence of K2P-like channels in crayfish.