Abstract: An overhead hoist transfer apparatus includes a rail assembly including a straight rail having an empty section, and a curved rail having a curved empty section; an engine including a first LSD having first and second wheels at two sides respectively; and a second LSD having third and fourth wheels at two sides respectively; a moving carriage driven by the engine and suspended from the rail assembly; first and second guide wheels disposed on the first LSD; third and fourth guide wheels disposed on the second LSD; and two guide boards disposed above a joining point of the straight rail and the curved rail. An elevation of the guide boards is equal to that of the guide wheels. The guide board includes a straight edge and a curved edge.

Abstract: A powered industrial truck includes a lateral movement assembly including four sliding members and four pivotal members both on a wheeled carriage, four links having a first end pivotably secured to the sliding member and a second end pivotably secured to either end of the pivotal member, a motor shaft having two ends pivotably secured to the pivotal members respectively, a first electric motor on one frame member, and four mounts attached to the sliding members respectively; two lift assemblies including a second electric motor, a shaft having two ends rotatably secured to the sliding members respectively, two gear trains at the ends of the shaft respectively, a first gear connected to the second electric motor, a second gear on the shaft, and a first roller chain on the first and second gears; two electric attachments on the platform and being laterally moveable, each attachment. The mount has rollers.

Abstract: Aspects of the present disclosure provide a method for training a predictor that predicts performance of a plurality of machine learning (ML) models on platforms. For example, the method can include converting each of the ML models into a plurality of instructions or the instructions and a plurality of intermediate representations (IRs). The method can also include simulating execution of the instructions corresponding to each of the ML models on a platform and generating instruction performance reports. Each of the instruction performance reports can be associated with performance of the instructions corresponding to one of the ML models that are executed on the platform. The method can also include training the predictor with the instructions or the IRs as learning features and the instruction performance reports as learning labels, compiling the predictor into a library file, and storing the library file in a storage device.

Abstract: A method of orthopedic treatment includes steps of: by using a computer aided design (CAD) tool based on profile data that is related to a to-be-treated part of a bone of a patient, obtaining a model of a preliminary instrument that substantially fits the to-be-treated part; by using the CAD tool, obtaining a model of a patient specific instrument (PSI) based on the model of the preliminary instrument; producing the PSI based on the model of the PSI, the PSI being adjustable; performing medical operation on the to-be-treated part, and then attaching the PSI to the to-be-treated part; after attaching the PSI to the to-be-treated part, adjusting the PSI such that the PSI is adapted to real conditions of the to-be-treated part.

Abstract: A method for designing an instrument for orthopedic surgery includes obtaining imaging information associated with a bone segment of a subject and an implant fastened to the bone segment, creating a bone segment model and an implant model based on the imaging information associated with the bone segment and the implant, and generating information regarding a shape of an instrument based on the bone segment model and the implant model. The instrument is to be disposed on the bone segment and the implant. The instrument is formed with a path to align a positioning component with a location of the bone segment which is not covered by the implant and at which the positioning component is to engage the bone segment.