Predictive relationship between COVID-19 anxiety and psychological distress in adolescents during the COVID-19 pandemic.

COVID-19 was a novel stressor that gave rise to pandemic related anxiety and increased the risk of mental health issues, particularly in youth. It is important to understand how such events contribute to psychological distress in young people to adequately intervene in the aftermath and to plan for future similar events. Using cross-sectional data from the CoSPACE Ireland study dataset this paper reports on the predictive relationship between COVID-19 anxiety and psychological distress for Irish adolescents ( = 314,  = 14.

Impact of Virtual Reality Simulation on New Nurses' Assessment of Pediatric Respiratory Distress.

Background: Children often experience respiratory illnesses requiring bedside nurses skilled in recognizing respiratory decompensation. Historically, recognizing respiratory distress has relied on teaching during direct patient care. Virtual reality simulation may accelerate such recognition among novice nurses.

Optimizing Earthquake Nowcasting With Machine Learning: The Role of Strain Hardening in the Earthquake Cycle.

Nowcasting is a term originating from economics, finance, and meteorology. It refers to the process of determining the uncertain state of the economy, markets or the weather at the current time by indirect means. In this paper, we describe a simple two-parameter data analysis that reveals hidden order in otherwise seemingly chaotic earthquake seismicity.

Improving access to geodetic imaging crustal deformation data using GeoGateway.

GeoGateway (http://geo-gateway.org) is a web-based interface for analysis and modeling of geodetic imaging data and to support response to related disasters. Geodetic imaging data product currently supported by GeoGateway include Global Navigation Satellite System (GNSS) daily position time series and derived velocities and displacements and airborne Interferometric Synthetic Aperture Radar (InSAR) from NASA's UAVSAR platform.

Measuring Acuity and Pediatric Critical Care Nursing Workload by Using ICU CAMEO III.

Background: The Intensive Care Unit Complexity Assessment and Monitoring to Ensure Optimal Outcomes (ICU CAMEO III) acuity tool measures patient acuity in terms of the complexity of nursing cognitive workload.

Objective: To validate the ICU CAMEO III acuity tool in US children's hospitals.

Methods: Using a convenience sample, 9 sites enrolled children admitted to pediatric intensive care units (ICUs).