Diagnostic accuracy of reduced electroencephalography montages for seizure detection: A frequentist and Bayesian meta-analysis.

Aim: To evaluate the diagnostic accuracy of reduced montage electroencephalography (EEG) for seizure detection and provide evidence-based recommendations.

Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a diagnostic meta-analysis to assess the sensitivity and specificity of reduced EEG montages in detecting seizure activity. A hierarchical summary receiver operating characteristic curve (HSROC) model was used to estimate the area under the curve (AUC).

Assessing Design Space for the Device-Circuit Codesign of Nonvolatile Memory-Based Compute-in-Memory Accelerators.

Unprecedented penetration of artificial intelligence (AI) algorithms has brought about rapid innovations in electronic hardware, including new memory devices. Nonvolatile memory (NVM) devices offer one such attractive alternative with ∼2× density and data retention after powering off. Compute-in-memory (CIM) architectures further improve energy efficiency by fusing the computation operations with AI model storage.

Developmental invariance in deep distortions.

Recently, a distinction has been drawn between conventional false memories, which misrepresent specific facts, and deep distortions, which misrepresent relations that connect facts. We report the first study of adult developmental trends in deep distortions, using a paradigm in which people make conjoint recognition judgments about incompatible facts (e.g.

Factors Influencing the Willingness of Hospitalized Children's Parents to Engage in Patient Safety: A Cross-Sectional Study.

Background: Hospitalized children's patient safety incidents can have a significant long-term impact on their physical, psychological, cognitive, and social development. Family-centered care emphasizes engaging parents, and parental involvement is an effective way to ensure child safety. This study aims to identify the factors influencing parents of children with hospitalization experiences in their willingness to engage in patient safety.

Synergistic Binding Sites in a Robust and Scalable Metal-Organic Framework for Record CH Capture.

Effectual CH reclamation from CH/N blends by existing physisorbents in industrialization confronts the adversity of frustrated separation performance, weak structural strength, and restricted scale-up preparation. To solve aforesaid bottlenecks, herein, a strategy is presented to fabricate synergistic strong recognition binding sites in a robust and scalable optimum Cu(pma) with ultramicroporous feature regarding superb CH separation versus N. By virtue of the synergistic contribution of multiple affinities accompanied by enormous potential field overlap of pore restriction, it imparts strong recognition binding toward CH molecules.