Randomized controlled trial of cognitive behavioral therapy versus health education for sleep disturbance and fatigue following stroke and traumatic brain injury.

Objective: Evaluate efficacy of cognitive behavioural therapy for sleep and fatigue adapted for brain injury relative to health education control in alleviating sleep disturbance and fatigue after acquired brain injury.

Design: Parallel groups randomized controlled trial.

Subjects: 126 community dwelling adults with stroke or traumatic brain injury.

Bumblebee social learning outcomes correlate with their flower-facing behaviour.

Previous studies suggest that social learning in bumblebees can occur through second-order conditioning, with conspecifics functioning as first-order reinforcers. However, the behavioural mechanisms underlying bumblebees' acquisition of socially learned associations remain largely unexplored. Investigating these mechanisms requires detailed quantification and analysis of the observation process.

Unveiling islet heterogeneity using an automated microfluidic imaging system.

Islets of Langerhans are a therapeutic target for diabetes and prediabetes. Measurements of therapeutic inhibitory or excitatory concentrations are often performed using large groups of islets, however, the population heterogeneity cannot be observed when examining the ensemble response. Normal islet function and islet response to therapeutic treatment can be affected by islet heterogeneity, influencing the progression of diabetes mellitus.

Droplet-based fluorescence anisotropy insulin immunoassay.

Over the last several decades, multiple microfluidic platforms have been used for measurement of hormone secretion from islets of Langerhans. Most have used continuous flow systems where mixing of hormones with assay reagents is governed by diffusion, leading to long mixing times, especially for biomolecules like peptides and proteins which have large diffusion coefficients. Consequently, dispersion of rapidly changing signals can occur, reducing temporal resolution.

Physics-based prediction of moisture-capture properties of hydrogels.

Moisture-capturing materials can enable potentially game-changing energy-water technologies such as atmospheric water production, heat storage, and passive cooling. Hydrogel composites recently emerged as outstanding moisture-capturing materials due to their low cost, high affinity for humidity, and design versatility. Despite extensive efforts to experimentally explore the large design space of hydrogels for high-performance moisture capture, there is a critical knowledge gap on our understanding behind the moisture-capture properties of these materials.