Measuring lost votes by mail.

The rise of mail balloting has led to concerns that procedural requirements can lead to "lost votes by mail." We theorize how procedural requirements can affect the incidence and form of lost votes and highlight three measurement issues with equating lost votes and rejected mail ballots. First, coverage: Not all rejected mail ballots are documented.

Forward first: Joystick interactions of toddlers during digital play.

Developmentally appropriate access to technology can support toddlers in learning and play. While touch screens are a popular interaction modality for children under the age of three, they may not be appropriate for all children or all tasks. We know comparatively little about how toddlers interact with joystick-based technology, and more fundamental research is required to understand joystick interactions at different ages and developmental stages.

Users of chronic prescription opioids decrease in the first 12 months following bariatric surgery.

Objective: Obesity is an independent risk factor for chronic pain frequently treated with opioids. Our study investigated the effect of Roux-en-Y gastric bypass (RYGB) and vertical sleeve gastrectomy (VSG) on chronic opioid prescription use.

Methods: Using the IBM MarketScan database (2010-2017), we analyzed adult chronic opioid users who underwent bariatric surgery.

Multi-session adaptation to audiovisual and sensorimotor biofeedback is heterogeneous among adolescents with cerebral palsy.

Background: There is growing interest in the use of biofeedback-augmented gait training in cerebral palsy (CP). Audiovisual, sensorimotor, and immersive biofeedback paradigms are commonly used to elicit short-term gait improvements; however, outcomes remain variable. Because biofeedback training requires that individuals have the capacity to both adapt their gait in response to feedback and retain improvements across sessions, changes in either capacity may affect outcomes.

Effects of interval treadmill training on spatiotemporal parameters in children with cerebral palsy: A machine learning approach.

Quantifying individualized rehabilitation responses and optimizing therapy for each person is challenging. For interventions like treadmill training, there are multiple parameters, such as speed or incline, that can be adjusted throughout sessions. This study evaluates if causal modeling and Bayesian Additive Regression Trees (BART) can be used to accurately track the direct effects of treadmill training on gait.