Abstract: In general, embodiments relate to a method for identifying hardware component failures, comprising: obtaining system logs that show a transition of device states for a device; using a normalization and filtering module to process and extract relevant data from the system logs and important keywords for the device; creating a device state path for the device from a healthy device state to an unhealthy device state using the extracted relevant data; obtaining the device state path for the device from a storage and a current device state of the device; predicting a next device state of the device based on the current device state using an analysis module; generating a device state chain using the device state path, current device state, and next device state; and identifying root cause of a hardware component failure using the device state chain.

Abstract: In general, embodiments relate to a method for providing solutions to hardware component failures, comprising: creating a device state chain using a device state path, a current device state, and a next device state for a device; identifying root cause of a hardware component failure in the device using the device state chain; performing a context-aware search in a shared storage using the root cause of the hardware component failure; and obtaining, in response to the context-aware search, a result specifying a proposed solution for the hardware component failure.

Abstract: A kexec-based system update process wherein user-specific data is transferred on reboot of the second kernel. Upon initializing kexec load, buffer memory is assigned to the second kernel and the system loads control pages of fixed size for the second kernel boot, and also loads user-specific data onto extended control pages of variable size. Upon boot of the second kernel, the user-specific data is extracted from the extended control pages and transferred to the corresponding applications.

Abstract: The present disclosure relates to a novel sp2-sp3 hybrid crystalline boron nitride and its preparation process. A novel sp2-sp3 hybrid crystalline boron nitride allotrope, named Gradia BN, is synthesized using sp2 or sp3 hybridized boron nitride as raw materials under high-temperature and high-pressure. The basic structural units of Gradia BN are composed of sp2 hybridized graphite-like structural units and sp3 hybridized diamond-like structural units. Gradia BN disclosed in the present disclosure is a class of new sp2-sp3 hybrid boron nitride allotrope, whose crystal structure can vary with the widths and/or crystallographic orientation relationships of internal sp2 and/or sp3 structural units, and may have variable physical properties.

Abstract: This application provides a wearable device. The wearable device includes a cover, a screen component, an antenna bracket, a first antenna, a metal middle frame, a circuit board, and a bottom cover. The cover and the bottom cover are respectively connected to two sides of the metal middle frame, the screen component is connected to a side of the cover facing the bottom cover, and the circuit board is located in a space enclosed by the metal middle frame, the screen component, and the bottom cover. An accommodating space is jointly enclosed by an end of the screen component, an inner wall of the metal middle frame, and an inner wall of the cover, the antenna bracket is disposed in the accommodating space, and the first antenna is disposed on the antenna bracket and is connected to the circuit board by using a feedpoint.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for memory fault prediction. In a method for memory fault prediction provided by the embodiments of the present disclosure, an accuracy of fault prediction over a past period of time is obtained, each fault prediction is made based on a comparison of a prediction confidence with a confidence threshold, and the accuracy indicates an amount of work to reconstruct and diagnose predicted faulty memories after the fault prediction; the confidence threshold is adjusted in response to the accuracy being less than an accuracy threshold; a detection rate of the fault prediction over the past period of time is obtained; and the confidence threshold is adjusted reversely in response to the detection rate being less than a detection rate threshold. In this way, the reliability of memories in nodes is guaranteed while reducing unnecessary reconstructions and diagnoses.

Abstract: A jump starter device can include sensors to measure data of a vehicle coupled to the jump starter device. The jump starter device can include a controller configured to process the load data to determine the status of the load, such as the conditions of the vehicle connected to the jump starter.

Abstract: A packet forwarding method. In this method, a forwarding node receives a packet, obtains a target service resource status advertised by each service node in a plurality of service nodes, selects a target service node from the plurality of service nodes based on the target service resource status advertised by the service node, and forwards the packet to the target service node. In other words, the forwarding node can sense a service resource status advertised by the service node, and the service resource status can indicate a resource usage status of a service resource managed by the service node. An actual processing capability of the service node can be sensed based on the resource usage status.

Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

Abstract: An intelligent method of selecting a data recovery site upon receiving a data recovery request. The backup system collects historical activity data of the storage system to identify work load of every data recovery site. A predicted activity load for each data recovery site is then generated using the collected data. When a request for data recovery is received, the system first identifies which data recovery site has copies of the files to be recovered. Then it uses the predicted work load for these data recovery sites to determine whether to use a geographically local site or a site that may be remote geographically, but has a lower work load.

Abstract: A card edge connector for use with high-speed signals. The card edge connector includes a shielding member held in a base portion of a housing of the card edge connector on a side of a first terminal row of the card edge connector facing away from a second terminal row and spaced apart from the first terminal row. The shielding member is configured to overlap at least intermediate portions of a plurality of pairs of first signal terminals, and to electrically connect a plurality of ground terminals to each other. Such a configuration enables the card edge connector to meet signal integrity requirements in connectors designed for 128 Gbps and beyond, while conforming to a standard that constrains mating and mounting interfaces.

Abstract: A wearable device includes a metal frame, a printed circuit board PCB, and a first feeding element, where a slot is formed between the metal frame and the PCB. The metal frame includes a first feed point, a first ground point, and a second ground point, and the metal frame is grounded at the first ground point and the second ground point. The metal frame is divided into a first area and a second area by the first ground point and the second ground point, and a circumferential length corresponding to the first area is greater than a circumferential length corresponding to the second area. The first feed point is disposed in the first area, and a distance between the first feed point and the first ground point along the metal frame is less than one third of the circumferential length corresponding to the first area.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data compression. The method includes: comparing the size of a first data packet to be compressed with a first threshold size; if the size of the first data packet is greater than the first threshold size, determining at least two second data packets from the first data packet, wherein the size of each second data packet is less than a second threshold size; and respectively compressing the at least two second data packets. In this way, the delay of data compression can be shortened.

Abstract: One example method includes telemetry based state transition and prediction. Telemetry data is used to generate a transition matrix. The transition matrix is used to predict a state transition for a system or an application. A log level is predictively adjusted based on the transition matrix. The telemetry data is thus adaptively collected based on predicted transitions.

Abstract: The present disclosure relates to a method, device and product for managing scrubbing operations in a storage system. In the method for managing scrubbing operations in a storage system, regarding a plurality of extents included in the storage system, respective usage states of the plurality of extents are obtained. A group of target extents in which a failure will occur are detected from the plurality of extents based on the respective usage states of the plurality of extents. A scrubbing interval of the scrubbing operations to be performed on the storage system is adjusted according to the detected group of target extents. A scrubbing operation is performed on at least one part of the plurality of extents in the storage system according to the adjusted scrubbing interval, so as to identify a failed extent.

Abstract: In one embodiment, a method includes receiving a user input at a client system, wherein the user input is associated with one or more intents and one or more slots, generating one or more first dialog acts based on the user input, calculating a task-confidence score based on one or more intent-confidence scores associated with the one or more intents, respectively, and one or more slot-confidence scores associated with the one or more slots, respectively, generating one or more second dialog acts modifying the one or more first dialog acts responsive to the task-confidence score being less than a threshold score, and presenting a response to the user input at the client system, wherein the response is based on one or more of the first dialog acts or the second dialog acts.

Abstract: The present application relates to imidazolidinone derivatives and medical use thereof, and in particular relates to pyrimidine derivatives represented by general formula (I), or stereoisomers, solvates, metabolites, prodrugs, pharmaceutically acceptable salts or co-crystals thereof, a pharmaceutical composition comprising the same, and use of the compound or pharmaceutical composition according to the present application in the manufacture of a medicament for treatment of cancer.

Abstract: A resource use method, an electronic device, and a computer program product are provided in embodiments of the present disclosure. The method includes determining a plurality of jobs requesting to use accelerator resources to accelerate data processing. The plurality of jobs are initiated by at least one virtual machine. The method further includes allocating available accelerator resources to the plurality of jobs based on job types of the plurality of jobs. The method further includes causing the plurality of jobs to be executed using the allocated accelerator resources. With the embodiments of the present disclosure, accelerator resources can be dynamically allocated, thereby improving the overall performance of a system.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for upgrading a storage system. The method includes: acquiring information about a set of candidate periods related to a workload of a storage system, the storage system having a workload lower than a first predetermined threshold during the set of candidate periods; determining, based on user information of the storage system, a target period for upgrade from the set of candidate periods; and performing an upgrade operation on at least a part of components among multiple components of the storage system during the target period. In this manner, the upgrade operation for the storage system can be improved.