Abstract: A refrigerator or ice making assembly may include a housing and a mold assembly. The housing may define a receiving chamber in fluid communication with an air duct. The housing may extend transversely from a first housing end and a second housing end. The housing may define a first mounting slot at the first housing end and a second mounting slot at the second housing end. The mold assembly may include a frame, a heat exchanger mounted to the frame, an ice mold, and a latch bar. The ice mold may be supported on the heat exchanger and define a mold cavity for receiving water. The latch bar may be movably mounted on the frame and extend transversely between the first housing end and the second housing end in selective locked engagement with the first and second mounting slots to secure the mold assembly to the housing.

Abstract: A refrigerator appliance or ice making assembly may include an ice mold, a heat exchanger, a lifter arm, and a cam shaft. The ice mold may define a mold cavity for receiving water. The heat exchanger may be in thermal communication with the ice mold to freeze the water and form one or more ice cubes therein. The lifter arm may be disposed below the ice mold and movable relative to the mold cavity along a channel path between a lowered position and a raised position to raise ice cubes within the mold cavity. The cam shaft may include a rotating cam lobe slidably engaged with the lifter arm to direct the lifter arm between the lowered position and the raised position. The cam shaft may be rotatable about a cam axis horizontally offset from the channel path.

Abstract: Intelligent file-level validation is described. A service provider (e.g., an administrator) can determine rule(s) based partly on specified data. The service provider can receive a data file. The service provider can determine modification data that indicates an amount of change to result from modifying previously stored data based on the data file, and can analyze the modification data based partly on threshold(s) associated with the rule(s). Each threshold can indicate an amount of change that is determined to be permissible for the data file, for the corresponding rule. The service provider can determine whether the data file is valid based partly on analyzing the modification data in view of the rule(s). Valid data files can be stored in a database that represents a source of truth and invalid data files can be routed to error handling.

Abstract: Intelligent file-level validation is described. A service provider (e.g., an administrator) can determine rule(s) based partly on specified data. The service provider can receive a data file. The service provider can determine modification data that indicates an amount of change to result from modifying previously stored data based on the data file, and can analyze the modification data based partly on threshold(s) associated with the rule(s). Each threshold can indicate an amount of change that is determined to be permissible for the data file, for the corresponding rule. The service provider can determine whether the data file is valid based partly on analyzing the modification data in view of the rule(s). Valid data files can be stored in a database that represents a source of truth and invalid data files can be routed to error handling.