Abstract: A transmission rod assembly for a height-adjustable desk comprises: a first transmission head having positioning grooves; a second transmission head having positioning blocks; an elastic piece axially limiting abutment of the first and second transmission heads, the positioning blocks positioning respective positioning grooves; a sleeve pipe having an end mounted to the second transmission head, the elastic piece being mounted in the sleeve pipe, and an end of the elastic piece abutting the second transmission head; a first transmission rod having an end protruding into the other end of the sleeve pipe and abutting the other end of the elastic piece, the sleeve pipe limiting the first transmission rod; and a locking assembly mounted on the other end of the sleeve pipe, the locking assembly limiting the sleeve pipe and clamping the first transmission rod. Thus, mounting can be completed by elastic squeeze, bringing simple structure and easy operation.

Abstract: Embodiments of the present disclosure provide a method, device, and computer program product for error evaluation. A method for error evaluation comprises in accordance with a determination that an error occurs in a data protection system, obtaining context information related to an operation of the data protection system; determining, based on the context information and using a trained deep learning model, a type of the error in the data protection system from a plurality of predetermined types, the deep learning model being trained based on training context information and a label on a ground-truth type of an error associated with the training context information; and providing the determined type of the error in the data protection system. In this way, it is possible to achieve automatic classification of errors in the data protection system, thereby improving the efficiency in error classification and saving the operation costs.

Abstract: Embodiments of the present disclosure provide a method, device, and computer program product for error evaluation. A method for error evaluation comprises in accordance with a determination that an error occurs in a data protection system, obtaining context information related to an operation of the data protection system; determining, based on the context information and using a trained deep learning model, a type of the error in the data protection system from a plurality of predetermined types, the deep learning model being trained based on training context information and a label on a ground-truth type of an error associated with the training context information; and providing the determined type of the error in the data protection system. In this way, it is possible to achieve automatic classification of errors in the data protection system, thereby improving the efficiency in error classification and saving the operation costs.

Abstract: Managing access to instances on a public cloud can include in responding to a request from a user to create a support account for a target instance on a public network. A process can include generating a key pair including a public key and a private key, creating, in the target instance, a support account, and associating the public key with the target instance. Access to the private key can be provided to facilitate a connection to the target instance through the support account. Temporary credentials can be generated and associated with the target instance. Upon expiration of the temporary credentials, the support account can be disabled by removing the support account from the target instance and disassociating the public key with the target instance.

Abstract: Managing access to instances on a public cloud can include in responding to a request from a user to create a support account for a target instance on a public network. A process can include generating a key pair including a public key and a private key, creating, in the target instance, a support account, and associating the public key with the target instance. Access to the private key can be provided to facilitate a connection to the target instance through the support account. Temporary credentials can be generated and associated with the target instance. Upon expiration of the temporary credentials, the support account can be disabled by removing the support account from the target instance and disassociating the public key with the target instance.

Abstract: A drive circuit coupled to a switching device for controlling operations of a load, which includes: a drive element configured to be coupled to the switching device; a control circuit for shutting down and turning on the drive element to control the switching device to operate and stop the load, the control circuit including a control switch having a first terminal coupled to the drive element and a second terminal to receive a control signal for controlling the drive element operation. The control switch is turned on by a first control signal, shutting down the drive element and the switching device to stop operating the load. The control switch is turned off by a second control signal, turning on the drive element and controlling the switching device to operate the load normally.

Abstract: A drive circuit coupled to a switching device for controlling operations of a load, which includes: a drive element configured to be coupled to the switching device; a control circuit for shutting down and turning on the drive element to control the switching device to operate and stop the load, the control circuit including a control switch having a first terminal coupled to the drive element and a second terminal to receive a control signal for controlling the drive element operation. The control switch is turned on by a first control signal, shutting down the drive element and the switching device to stop operating the load. The control switch is turned off by a second control signal, turning on the drive element and controlling the switching device to operate the load normally.