Expert-level sleep staging using an electrocardiography-only feed-forward neural network.

Reliable classification of sleep stages is crucial in sleep medicine and neuroscience research for providing valuable insights, diagnoses, and understanding of brain states. The current gold standard method for sleep stage classification is polysomnography (PSG). Unfortunately, PSG is an expensive and cumbersome process involving numerous electrodes, often conducted in an unfamiliar clinic and annotated by a professional.

Changing patterns of the prevalence of burnout and secondary traumatic stress in health-system pharmacists throughout the COVID-19 pandemic.

Introduction: The demands posed during the coronavirus disease 2019 (COVID-19) pandemic have led to greater stress and frustration, which in turn can fuel exhaustion, cynicism, secondary traumatic stress (STS), and burnout. More evidence is needed regarding the prevalence of burnout and STS throughout the pandemic.

Objectives: The aim of this study was to describe the changing pattern of the prevalence of burnout and STS in health-system pharmacists throughout the pandemic (early to 20 months into the pandemic).

A model for self-organization of sensorimotor function: the spinal monosynaptic loop.

Recent spinal cord literature abounds with descriptions of genetic preprogramming and the molecular control of circuit formation. In this paper, we explore to what extent circuit formation based on learning rather than preprogramming could explain the selective formation of the monosynaptic projections between muscle spindle primary afferents and homonymous motoneurons. We adjusted the initially randomized gains in the neural network according to a Hebbian plasticity rule while exercising the model system with spontaneous muscle activity patterns similar to those observed during early fetal development.

Burnout and secondary traumatic stress in health-system pharmacists during the COVID-19 pandemic.

Purpose: To describe the prevalence of burnout and secondary traumatic stress (STS) in health-system pharmacists during the coronavirus disease 2019 (COVID-19) pandemic.

Methods: A cross-sectional, professional pharmacy organization listserver-based online survey of a target group of health-system pharmacists across the United States was conducted. The survey was sent out through professional organization listservers and was anonymous and voluntary.

Survey of Health-System Pharmacy Leadership Pathways: A 10-Year Revisit.

Objective: To compare health-system pharmacy leadership pathways and opinions in the last decade.

Methods: A 33 question survey was recreated from the 2009 survey of health-system pharmacy leadership pathways and reviewed and modified by the original creators. In November 2019, investigators sent two invites to complete a Qualtrics survey to individuals listed on the ASHP Connect Pharmacy Practice Leaders listserver.

Racetrack resonator as a loss measurement platform for photonic components.

This work represents the first complete analysis of the use of a racetrack resonator to measure the insertion loss of efficient, compact photonic components. Beginning with an in-depth analysis of potential error sources and a discussion of the calibration procedure, the technique is used to estimate the insertion loss of waveguide width tapers of varying geometry with a resulting 95% confidence interval of 0.007 dB.

Ultra-low crosstalk, CMOS compatible waveguide crossings for densely integrated photonic interconnection networks.

We explore the design space for optimizing CMOS compatible waveguide crossings on a silicon photonics platform. This paper presents simulated and experimental excess loss and crosstalk suppression data for vertically integrated silicon nitride over silicon-on-insulator waveguide crossings. Experimental results show crosstalk suppression exceeding -49/-44 dB with simulation results as low as -65/-60 dB for the TE/TM mode in a waveguide crossing with a 410 nm vertical gap.