Inês Sousa

TL;DR: A unobtrusive smartphone based fall detection system that uses a combination of information derived from machine learning classification applied in a state machine algorithm and can reliably detect fall events without disturbing the users with excessive false alarms.

TL;DR: In this paper, the authors present the application of some lean manufacturing tools, and the corresponding shift in philosophy, in two Portuguese companies of the food and beverage industries, and show that significant gains are obtained in both companies and, more importantly, it instills a continuous improvement culture and increases production flexibility while reducing lead times.

TL;DR: The usability tests in a post-stroke patient case demonstrate the applicability and motivational potential of the developed games andGamification of stroke rehabilitation exercises using a smartphone is feasible and may be valuable for stroke rehabilitation.

TL;DR: This review presents the current knowledge about STEAP1 protein expression in human tissues, its biochemical properties and targeting strategies with the purpose to evaluate its potential as therapeutic agent for cancer.

TL;DR: With sufficient acoustic intensity, the agents demonstrate potential as large payload carriers for biomolecularly targeted therapeutic delivery, however, difficulties may limit the range of targeting applications: large sizes may render microbubbles susceptible to detachment at the shearing forces of the vasculature and secondary radiation forces may reduce targeting effectiveness.