Understanding older adults' needs for and perceptions of shared autonomous vehicle interior features: A focus group and user enactment study.

Shared autonomous vehicles (SAVs) can help older adults maintain mobility and independence throughout the later stages of life. However, research is critically needed to assess the design of SAV interior features and quantify potential mobility challenges for older populations. This paper presents a study that adopted a mixed-methods approach to evaluate the needs and perceptions of adults aged 65 years and older regarding interior features of SAVs during user enactment, and offers data-driven insights on task performance to inform design decisions.

Perceived Negative Effects of Tic Management Strategies in Adults With Tic Disorders.

Behavior therapy is a well-established and empirically supported treatment for tic disorders (TDs). However, concerns have been expressed about the negative effects of behavioral interventions, such as tic worsening, tic substitution, and excessive effort. This study explored perceived negative effects of tic management strategies in adults with TDs and predictors of these experiences.

Implementing an Adult Extracorporeal Membrane Oxygenation Program During the COVID-19 Pandemic.

Background: In response to the needs of patients infected with COVID-19, an interdisciplinary team was assembled to implement an adult extracorporeal membrane oxygenation (ECMO) program in the surgical ICU of a West Texas tertiary care hospital. Use of Extracorporeal Life Support Organization (ELSO) guidelines was essential to the development of this effort.

Aim: The aim of this project was to develop, implement, and evaluate an adult ECMO program.

An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems.

Objective: This study developed a fixation-related electroencephalography band power (FRBP) approach for situation awareness (SA) assessment in automated driving.

Background: Maintaining good SA in Level 3 automated vehicles is crucial to drivers' takeover performance when the automated system fails. A multimodal fusion approach that enables the analysis of the visual behavioral and cognitive processes of SA can facilitate real-time assessment of SA in future driver state monitoring systems.