Researchers at Harvard University have developed a robotic exosuit that swiftly calibrate to an individual wearer in a matter of seconds. The system uses ultrasound to measure a user's muscle dynamics and then develops an activity-specific profile, whether they're strolling in the park, stopped at a crosswalk, or running up a hill. Compared with not wearing the device, the'muscle-based assistance (MBA) ankle exosuit' reduced metabolic demand by nearly one-sixth. Engineers have long worked on exosuits that help people with disabilities walk, but the obstacle has always been developing a frame that can adapt to how humans often change pace and encounter new terrain. 'This approach may help support the adoption of wearable robotics in real-world, dynamic situations by enabling comfortable, tailored, and adaptive assistance,' Harvard Biodesign Lab founder director Conor J. Walsh, who helped develop the exosuit, said in a statement.

Mapping relational data to RDF is an important task for the development of the Semantic Web. To this end, the W3C has recently released a Recommendation for the so-called direct mapping of relational data to RDF. In this work, we propose an enrichment of the direct mapping to make it more faithful by transferring also semantic information present in the relational schema from the relational world to the RDF world. We thus introduce expressive identification constraints to capture functional dependencies and define an RDF Normal Form, which precisely captures the classical Boyce-Codd Normal Form of relational schemas.