HANDdata - first-person dataset including proximity and kinematics measurements from reach-to-grasp actions.

HANDdata is a dataset designed to provide hand kinematics and proximity vision data during reach to grasp actions of non-virtual objects, specifically tailored for autonomous grasping of a robotic hand, and with particular attention to the reaching phase. Thus, we sought to capture target object characteristics from radar and time-of-flight proximity sensors, as well as details of the reach-to-grasp action by looking at wrist and fingers kinematics, and at hand-object interaction main events. We structured the data collection as a sequence of static and grasping tasks, organized by increasing levels of complexity.

Reduction of routine radiographs in the follow-up of distal radius and ankle fractures: Barriers and facilitators perceived by orthopaedic trauma surgeons.

Rationale, Aims, And Objectives: Studies suggest that routine radiographs during follow-up of distal radius and ankle fractures result in increased radiation exposure and health care costs, without influencing treatment strategies. Encouraging clinicians to omit these routine radiographs is challenging, and little is known about barriers and facilitators that influence this omission. Therefore, this study aims to identify barriers and facilitators among orthopaedic trauma surgeons that might prove valuable towards the design of a deimplementation strategy.

Long spin relaxation times in wafer scale epitaxial graphene on SiC(0001).

We developed an easy, upscalable process to prepare lateral spin-valve devices on epitaxially grown monolayer graphene on SiC(0001) and perform nonlocal spin transport measurements. We observe the longest spin relaxation times τ(S) in monolayer graphene, while the spin diffusion coefficient D(S) is strongly reduced compared to typical results on exfoliated graphene. The increase of τ(S) is probably related to the changed substrate, while the cause for the small value of D(S) remains an open question.