Abstract: Apparatuses, systems, and methods described include receiving data related to an availability for a shift, automatically triggering initiation of a communications session related to the shift, conducting the communications session, and receiving and storing a plurality of audio or audio and visual signals from the communications session. Machine learning (ML) sentiment analysis is performed on data of the communications session and based on the sentiment analysis, a reliability score is determined.

Abstract: A combination rasping/filing tool comprises an axially extending blade having first and second surfaces and proximal and distal ends. The first surface has a plurality of rasping teeth. Each individual rasping tooth defines a rasping cavity projecting below the first surface and has a raised portion projecting away from said first surface a height h. The raised portion has a trailing shoulder extending proximally away from and contiguous with a sharpened rasping ledge. A rasping face is contiguous with the rasping ledge and projects into the rasping cavity. Each rasping tooth is arranged in a row of a plurality of teeth, and each row is staggered in relation to proximally and distally neighboring rows. In one embodiment each row comprises eight teeth.