Use of theatresports to promote positive education among youth participants.

BACKGROUND: Due to the scarcity of research on the benefits of theatresports for youth, this study examined the outcomes of theatresports as a means to implement positive education in youth work settings. METHODS: To this end, qualitative research was conducted with 92 participants in a theatresports program. Thematic analysis was applied to analyze the participants' experiences of the program, using the framework of positive education. RESULTS: Results showed that the processes and practices of the theatresports program helped the participants achieved well-being in terms of various domains namely positive emotions, positive health, positive relationships, positive engagement, positive accomplishment, and positive meaning. These capabilities and qualities acquired helped them achieve well-being, and the learning acquired from the program could even be applied to daily life situations and deal with the challenges. CONCLUSIONS: This shows that the theatresports program manifests the benefits of positive education. Corresponding implications were discussed.

Digital electronics in fibres enable fabric-based machine-learning inference.

Digital devices are the essential building blocks of any modern electronic system. Fibres containing digital devices could enable fabrics with digital system capabilities for applications in physiological monitoring, human-computer interfaces, and on-body machine-learning. Here, a scalable preform-to-fibre approach is used to produce tens of metres of flexible fibre containing hundreds of interspersed, digital temperature sensors and memory devices with a memory density of ~7.6 × 105 bits per metre. The entire ensemble of devices are individually addressable and independently operated through a single connection at the fibre edge, overcoming the perennial single-fibre single-device limitation and increasing system reliability. The digital fibre, when incorporated within a shirt, collects and stores body temperature data over multiple days, and enables real-time inference of wearer activity with an accuracy of 96% through a trained neural network with 1650 neuronal connections stored within the fibre. The ability to realise digital devices within a fibre strand which can not only measure and store physiological parameters, but also harbour the neural networks required to infer sensory data, presents intriguing opportunities for worn fabrics that sense, memorise, learn, and infer situational context.