Abstract: A portable wire cutting device for sampling a steel ingot includes a wire rack device, a driving system, and a multi-axis moving device. The wire rack device includes a first corner wheel, a second corner wheel, a transition wheel, a steering wheel, a first wire rack, a second wire rack, and a wire winding drum. The driving system includes a wire drum motor and a molybdenum wire, wherein the wire drum motor provides power driving for the operation of a cutting line; and the molybdenum wire is a closed molybdenum wire coil connected in an end-to-end manner, the molybdenum wire is wrapped around the first corner wheel, the second corner wheel, the wire winding drum, and an inner side of the transition wheel in a looping manner, and during operation, the cutting line performs wire cutting on an object by the molybdenum wire.

Abstract: A portable wire cutting device for sampling a steel ingot includes a wire rack device, a driving system, and a multi-axis moving device. The wire rack device includes a first corner wheel, a second corner wheel, a transition wheel, a steering wheel, a first wire rack, a second wire rack, and a wire winding drum. The driving system includes a wire drum motor and a molybdenum wire, wherein the wire drum motor provides power driving for the operation of a cutting line; and the molybdenum wire is a closed molybdenum wire coil connected in an end-to-end manner, the molybdenum wire is wrapped around the first corner wheel, the second corner wheel, the wire winding drum, and an inner side of the transition wheel in a looping manner, and during operation, the cutting line performs wire cutting on an object by the molybdenum wire.

Abstract: A device may receive, from multiple systems, data related to an individual. The device may anonymize, after receiving the data and using an anonymization technique, information included in the data that identifies the individual. The device may apply a formatting to the data after anonymizing the information that identifies the individual. The device may identify, after applying the formatting to the data, historical data related to the individual, to a provider associated with a claim for care, or to historical claims, and population data associated with demographics of the individual. The device may process, in association with identifying the historical data and the population data, the data using a machine learning model. The machine learning model may be associated with generating a prediction related to the individual or the care provided to the individual. The device may perform one or more actions based on the prediction.