Abstract: Provided are an alternating current field based defect identification method and an array detection probe. The evaluation method includes the following steps: obtaining a magnetic field Bx signal in direction X and a magnetic field Bz signal in direction Z; removing a background magnetic field of each of the magnetic field Bx signal in the direction X and the magnetic field Bz signal in the direction Z, and obtaining a magnetic field Bx1 signal in the direction X and a magnetic field Bz1 signal in the direction Z without background magnetic fields; drawing an array image of the Bx1 signal and an array image of the Bz1 signal; and locating a distortion zone corresponding to disturbance at the same time and position in the array image of the Bx1 signal and the array image of the Bz1 signal.

Abstract: Systems and methods for controlling a vertical pumping unit are provided. The method includes a self-learning phase and a running phase, wherein the self-learning phase includes obtaining a self-learning result and the running phase includes controlling a motor of the vertical pumping unit to run according to the self-learning result and preset running parameters. The method enables the vertical pumping unit to adjust running parameters of the running phase according to the self-learning results, avoid the accumulation of errors effectively so that changes in stroke length and stroke frequency caused by the motor V-belt, load belt extension and retraction and other elastic links are limited to a minimum range so as to ensure the running accuracy of the vertical pumping unit.

Abstract: Disclosed is a technology for de-identifying and restoring personal information in an image based on an encryption key. An image processing method for de-identifying and restoring image information, which is performed by an image processing system, may include detecting an object information area in image information, de-identifying the detected object information area by using an encryption key generated in relation to the detected object information area, and restoring the de-identified object information area by using the encryption key.

Abstract: Embodiments of the present application provide Ensartinib or a salt thereof and a use of a composition containing Ensartinib or the salt thereof in treatment of a disease carrying MET 14 exon skipping mutation.

Abstract: A method for sample alignment is applied to a first participant system, where a first trusted execution environment is deployed at the first participant system. The method includes, in the first trusted execution environment, obtaining at least one first sample identifier of the first participant system; through the first trusted execution environment, obtaining at least one second sample identifier of the second participant system from the second trusted execution environment, where the second trusted execution environment is deployed at the second participant system; in the first trusted execution environment, determining the first initial intersection of the at least one first sample identifier and the at least one second sample identifier and performing the shuffle processing on all first target sample identifiers in the first initial intersection to obtain the first target intersection; and based on the first target intersection, determining the first sample alignment result.

Abstract: Examples provide a system and method for retraining a machine learning (ML) algorithm associated with a trained model using root cause pattern recognition. The system analyzes the results of parsing unstructured data and identifies a root cause pattern causing the trained model to underperform when parsing data including the identified pattern. Examples of data including the pattern are created for use in retraining the model to correctly detect and parse data following the identified pattern. Once retrained, the model is able to parse unstructured data, including data having the identified pattern, in accordance with expected performance metrics. The system automatically identifies parsing errors, identifies the root cause patterns for these errors and retrains the models to correctly handle those patterns for more accurate and efficient handing of unstructured data by trained models.

Abstract: A backlight module and a display panel are provided. The display panel includes a display panel main body and a backlight module. The backlight module includes a light guide, a first reflector, and a light source. By arranging the light source in a receiving cavity of the light guide, a width of a lamp socket of the backlight module is reduced, and a light effect of the lamp socket of the backlight module is improved.

Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to defects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

Abstract: An information mapping method includes mapping, by a transmitting end device, first information to second information on a delay-Doppler frame. The delay-Doppler frame includes M×N grids, M is the total number of delay indexes, N is the total number of Doppler indexes. The delay-Doppler frame includes at least two subframes, and each subframe includes a first guard interval portion, a first mapping portion, and two second mapping portions. The two second mapping portions occupy grids corresponding to kmax Doppler indexes at a head and a tail of the subframe in a Doppler direction, and the first mapping portion occupies grids corresponding to (N/G?2kmax) Doppler indexes of the subframe; G being the number of subframes in the delay-Doppler frame. Information mapped to second mapping portions at heads of different subframes is the same, and information mapped to second mapping portions at tails of different subframes is the same.

Abstract: A method and a system for analyzing a transient current of a non-polar liquid, and an apparatus are disclosed. The method includes: measuring a transient current of a to-be-detected device to obtain a transient current reference curve; determining experimental parameters of a first influencing factor in the to-be-detected device according to the transient current reference curve and preset equations, and measuring experimental parameters of a second influencing factor in the device; constructing a transient current reference model according to the experimental parameters of the first and second influencing factors and a preset current model; adjusting parameters of the first and/or second influencing factor in the transient current reference model to obtain a plurality of transient current models; and calculating corresponding transient current change data according to the transient current models to construct and output a plurality of transient current curves.

Abstract: Examples provide a system and method for retraining a machine learning (ML) algorithm associated with a trained model using root cause pattern recognition. The system analyzes the results of parsing unstructured data and identifies a root cause pattern causing the trained model to underperform when parsing data including the identified pattern. Examples of data including the pattern are created for use in retraining the model to correctly detect and parse data following the identified pattern. Once retrained, the model is able to parse unstructured data, including data having the identified pattern, in accordance with expected performance metrics. The system automatically identifies parsing errors, identifies the root cause patterns for these errors and retrains the models to correctly handle those patterns for more accurate and efficient handing of unstructured data by trained models.

Abstract: To reduce spikes in the current used by a NAND memory die, different ramp rates are used for the pass voltage applied to unselected word lines during a program operation depending on whether data is stored in a multi-level cell (MLC) format or in a single level cell (SLC) format. These ramp rates can be determined through device characterization and stored as parameter values on the memory die. Different ramp rate interval values can also be used for the pass voltage applied to unselected word lines during a program operation depending on whether data is stored in an MLC format or in an SLC format.

Abstract: Disclosed is a computer implemented method, system and computer readable medium for performing blockchain-based identity management for a supply chain of a computerised network. In one aspect, the method includes receiving, by a computerised device of a party, an identity issuing transaction initiated by a computerised component or service being in the supply chain, the identity issuing transaction being indicative of a name of the computerised component or service, an identity issuing request message, and a first random number obtained from a distributed database, wherein the identity issuing transaction is initiated by the computerised component or service in response to determining the party is an authoritative party recorded in the blockchain and permitted to issue an identity, invoking a first smart contract, and executing an identity issuance logic of the first smart contract.

Abstract: A rotation bracket includes an L-shaped connecting rod, a rotation mechanism, and a stand base. The L-shaped connecting rod includes a vertical rod and a horizontal rod. The vertical rod is configured to connect to a communications device. The horizontal rod is fastened to the rotation mechanism, and the horizontal rod is a rotatable rod. The rotation mechanism is fastened to a top of the stand base, and the rotation mechanism is configured to drive the L-shaped connecting rod to rotate in a horizontal plane. The stand base is configured to fixedly connect to an inner surface of a wall or to a ground.

Abstract: Systems, apparatuses and methods may provide technology for managing a runtime computing environment having tiered object memory placement that assigns a hotness score to an object having an object type based on an invocation count of objects referenced by a hot method, allocates a newly-created object to one of a hot object heap, said hot object heap assigned to store hot objects in a first memory tier, or a cold object heap, said cold object heap assigned to store cold objects in a second memory tier, based on the hotness score associated with the object type for the newly-created object, and migrates a plurality of objects between the hot object heap and the cold object heap based on a hotness score associated with each object. The technology may also operate the object migration in an execution thread independent of an execution thread for the object allocation.

Abstract: Systems and methods for controlling a vertical pumping unit are provided. The method includes a self-learning phase and a running phase, wherein the self-learning phase includes obtaining a self-learning result and the running phase includes controlling a motor of the vertical pumping unit to run according to the self-learning result and preset running parameters. The method enables the vertical pumping unit to adjust running parameters of the running phase according to the self-learning results, avoid the accumulation of errors effectively so that changes in stroke length and stroke frequency caused by the motor V-belt, load belt extension and retraction and other elastic links are limited to a minimum range so as to ensure the running accuracy of the vertical pumping unit.

Abstract: Examples provide a system and method for retraining a machine learning (ML) algorithm associated with a trained model using root cause pattern recognition. The system analyzes the results of parsing unstructured data and identifies a root cause pattern causing the trained model to underperform when parsing data including the identified pattern. Examples of data including the pattern are created for use in retraining the model to correctly detect and parse data following the identified pattern. Once retrained, the model is able to parse unstructured data, including data having the identified pattern, in accordance with expected performance metrics. The system automatically identifies parsing errors, identifies the root cause patterns for these errors and retrains the models to correctly handle those patterns for more accurate and efficient handing of unstructured data by trained models.

Abstract: Embodiments of the present application disclose a coupling device and an all-terrain vehicle. The coupling device includes: a first coupling member including a first tube portion and a first solid portion coupled to the first tube portion; and a second coupling member including a second tube portion and a second solid portion coupled to the second tube portion. The second solid portion is detachably coupled to the first solid portion. In the coupling device of embodiments of the present application, the first coupling member includes the first tube portion, and the second coupling member includes the second tube portion, thereby greatly reducing the weight of the coupling device and transportation costs of the coupling device.

Abstract: An all-terrain vehicle and a gear shifting device for an all-terrain vehicle are disclosed. The all-terrain vehicle includes: a motor; a controller electrically coupled to the motor; and an electronic shifter electrically coupled to the controller. Thus, by adopting the electronic shifter, the unstable and unsmooth problem associated with purely mechanical shifting devices can be addressed, and the problems of small operation space and operation inconvenience for the drivers can be solved.

Abstract: In some examples, feature and context based search result generation may include identifying, based on analysis of a query feature associated with a query context of a query, and an entity feature associated with an entity context of each entity of a plurality of entities, a reduced number of entities that match the query. Based on analysis of a further query feature and a further entity feature, further matching analysis of the query to the reduced number of entities may be performed. The query may be linked by a linking model to an entity of the reduced number of entities to generate a query and entity pair. Selection of an entity may be received, and a linked plurality of queries and entities may be searched. In this regard, search results may be generated and include a set of queries that is associated with the selected entity.