Fabrication of Hierarchical Microstructures via Laser-Induced Shrinkage of Shape Memory Polymers for Flexible Pressure Sensing.

Hierarchical microstructures are widely recognized as one of the most effective components for enhancing the performance of flexible pressure sensors. However, the rapid and controllable fabrication of pressure sensing layers with hierarchical microstructures remains a significant challenge. In this study, we propose a method that utilizes laser-induced microscale shrinkage of shape memory polymers to enable rapid and controllable fabrication of hierarchical microstructures for high-performance pressure sensing.

Population, workforce, and organisational characteristics affecting appointment rates: a retrospective cross-sectional analysis in primary care.

Background: The recent publication of data on appointment volumes for all general practices in England has enabled representative analysis of factors affecting appointment activity rates for the first time.

Aim: To identify population, workforce, and organisational predictors of practice variations in appointment volume.

Design And Setting: A multivariable cross-sectional regression analysis of 6284 general practices in England was undertaken using data from August-October 2022.