Combining Virtual Reality and Machine Learning for Leadership Styles Recognition.

The aim of this study was to evaluate the viability of a new selection procedure based on machine learning (ML) and virtual reality (VR). Specifically, decision-making behaviours and eye-gaze patterns were used to classify individuals based on their leadership styles while immersed in virtual environments that represented social workplace situations. The virtual environments were designed using an evidence-centred design approach.

Psychological State after an Acute Coronary Syndrome: Impact of Physical Limitations.

The aim of this study was to investigate how physical limitations after ACS influence patients' quality of life and health perception. This was a longitudinal clinical study. We recruited 146 patients diagnosed with ACS.