Abstract: A shift register unit, a driving method, a drive circuit, and a display apparatus are disclosed. The shift register unit includes: a control circuit, which is configured to adjust signals of a first node and a second node according to an input signal end, a first control signal end, a second control signal end and a first reference signal end; a cascade circuit, which is configured to provide, according to the signal of the first node, a signal of a first cascade clock signal end to a cascade output end; and an output circuit, which is configured to provide, according to the signal of the first node, a signal of a control clock signal end to a drive output end, and provide, according to the signal of the second node, a signal of a second reference signal end to the drive output end.

Abstract: The present invention relates to the field of elevator braking, in particular to an action state detection method and system for an elevator brake, comprising: acquiring matching pairs of brake linings in the same braking state; constructing normal record data sets based on the matching pairs; grouping the normal record data sets based on braking power corresponding to samples in the normal record data sets to determine a median of elevator running speed corresponding to the samples in each group; dividing the operating state levels of the elevator brake according to the size of the median; constructing a data training set; training a constructed network model to obtain a trained network model; acquiring the operating state levels of an elevator to be detected by the trained network model, evaluating the elevator brake according to the operating state levels, and controlling the elevator.

Abstract: A stack of alternating layers of dielectric and conductive materials are formed on a substrate. A first portion of the stack of alternating layers forms a plurality of blocks of NAND memory. A second portion of the stack of alternating layers forms a configurable capacitor structure. The configurable capacitor structure is configurable to form one or more capacitors of configurable capacitance.

Abstract: An electronic device control method includes obtaining position information of a specific object in a detection area, determining a movement direction of the specific object based on the position information, setting the electronic device to a first operating state in response to the specific object moving out of the detection area from a first direction, or setting the electronic device to a second operating state in response to the specific object moving out of the detection area from a second direction, the first operating state being different from the second operating state when the first direction is different form the second direction.

Abstract: A battery module, a battery pack, and a vehicle are described in this patent application. In the battery module, a plurality of grooves separated by partition parts are disposed in a module casing, a plurality of jelly rolls of the battery module are embedded in the grooves, and a top cover covers an opening of each groove to seal the groove as an independent mounting cavity. In this way, each groove wall in the module casing and the top cover may be used as a housing for sealing each jelly roll, to avoid a case in which an electrolyte in each jelly roll decomposes and produces gas in a process of using the battery module because the electrolyte is leaked from one jelly roll to another jelly roll.

Abstract: The present invention relates to a class of TrkA inhibitors and an application thereof in the preparation of a drug for the treatment of diseases associated with TrkA. The present invention specifically discloses compounds represented by formula (I) and formula (II), tautomer thereof or pharmaceutically acceptable salts thereof.

Abstract: Provided is a dynamic Huffman encoding method based on a sorting network. Compared with traditional dynamic Huffman coding solutions, the method implements sorting on the basis of the sorting network, therefore the sorting process is not only stable, but also may ensure a stable sorting result; and moreover, sorting steps and related operations are simpler, thereby greatly simplifying the sorting and iteration processes, and thus the sorting efficiency is higher. In addition, the sorting process better facilitates program implementation and transplantation, and implementation of hardware and software may achieve good effects. In addition, the present disclosure further provides a dynamic Huffman coding apparatus and device based on a sorting network, and a readable storage medium, and the technical effects thereof correspond to the technical effects of the above method.

Abstract: Technology is disclosed herein for detecting leaky word lines in a non-volatile storage system. The exact leaky word line may be located very rapidly using a divide and conquer approach. First a determination may be made whether at least one word line in a group such as any of the word lines in a block is leaky. This initial determination can be made very quickly. If no word line in the group is leaky, the search can end. However, responsive to a determination that at least one word line in the group is leaky, a divide and conquer search may be performed in which the group of the word lines is repeatedly divided into smaller sub-groups with selected smaller sub-groups tested for a short circuit until the leaky word line is located.

Abstract: A recombinant human Fc fusion protein comprises an Ig-like domain of a first human VEGF receptor, another different Ig-like domain of a second human VEGF receptor, at least yet another Ig-like domain of a third human VEGF receptor, and the Fc portion of the human IgG1. The fusion protein is useful in treating or controlling an ocular disease, condition, or disorder that has etiology in aberrant angiogenesis.

Abstract: Provided is a dynamic Huffman encoding method based on a sorting network. Compared with traditional dynamic Huffman coding solutions, the method implements sorting on the basis of the sorting network, therefore the sorting process is not only stable, but also may ensure a stable sorting result; and moreover, sorting steps and related operations are simpler, thereby greatly simplifying the sorting and iteration processes, and thus the sorting efficiency is higher. In addition, the sorting process better facilitates program implementation and transplantation, and implementation of hardware and software may achieve good effects. In addition, the present disclosure further provides a dynamic Huffman coding apparatus and device based on a sorting network, and a readable storage medium, and the technical effects thereof correspond to the technical effects of the above method.

Abstract: A power supply and distribution system for a data center. The power supply and distribution system for a data center includes a plurality of SST power supply systems. Each of the plurality of SST power supply systems includes a rectifier module that performs voltage reduction and rectification by using an SST and an energy storage apparatus connected to the rectifier module. The plurality of SST power supply systems are in a one-to-one correspondence with a plurality of cabinet units, and each of the plurality of cabinet units is configured to deploy an SST power supply system corresponding to the cabinet unit. The rectifier module in each of the plurality of SST power supply systems receives electric energy through a medium-voltage bus.

Abstract: A power distribution system is provided in this application, which includes a plurality of power distribution equipments, and the plurality of power distribution equipments are configured to supply power to a plurality of powered devices respectively. First power distribution equipment in the plurality of power distribution equipments includes: a first power module, configured to perform voltage conversion on an input voltage to obtain an output voltage, where the output voltage is a supply voltage of the first power distribution equipment; and a first cascading circuit, configured to connect an output of the first power module to an output of a power module in power distribution equipment in the power distribution system other than the first power distribution equipment, where the first power distribution equipment is any power distribution equipment in the power distribution system. A server system which includes the power distribution system is also disclosed in this application.

Abstract: Systems and methods of the present disclosure are directed to a method for training a machine-learned semantic matching model. The method can include obtaining a first and second document and a first and second activity log. The method can include determining, based on the first document activity log and the second document activity log, a relation label indicative of whether the documents are related. The method can include inputting the documents into the model to receive a semantic similarity value representing an estimated semantic similarity between the first document and the second document. The method can include evaluating a loss function that evaluates a difference between the relation label and the semantic similarity value. The method can include modifying values of parameters of the model based on the loss function.

Abstract: Example methods and apparatus for providing voice alignment are described. One example method including: obtaining an original voice and a test voice, the test voice is a voice generated after the original voice is transmitted over a communications network; performing loss detection and/or discontinuity detection on the test voice, the loss detection is used to determine whether the test voice has a voice loss compared with the original voice, and the discontinuity detection is used to determine whether the test voice has voice discontinuity compared with the original voice; and aligning the test voice with the original voice based on a result of the loss detection and/or the discontinuity detection, to obtain an aligned original voice and an aligned test voice, the result of the loss detection and/or the discontinuity detection is used to indicate a manner of aligning the test voice with the original voice.

Abstract: Techniques for providing an artificial intelligence denoiser related to audio processing are discussed herein. Some embodiments may include providing an audio signal sample associated with at least one microphone to a time-frequency domain transformation pipeline for a transformation period. Some embodiments may include providing the audio signal sample to a deep neural network (DNN) processing loop that is configured to determine a denoiser mask associated with a noise prediction for the audio signal sample. In a circumstance where the denoiser mask is determined prior to expiration of the transformation period, some embodiments may include applying the denoiser mask associated with the noise prediction to a frequency domain version of the audio signal sample associated with the time-frequency domain transformation pipeline to generate a denoised audio signal sample associated with the at least one microphone.

Abstract: A method for image shape transformation based on a generative adversarial network includes the following steps: generating a segmentation mask of an image to be transformed; constructing a generator and a discriminator, and constructing the generative adversarial network through the generator and the discriminator; constructing a loss function, and training the generative adversarial network by a gradient descent method according to the loss function; and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.

Abstract: An electronic device control method includes obtaining position information of a specific object in a detection area, determining a movement direction of the specific object based on the position information, setting the electronic device to a first operating state in response to the specific object moving out of the detection area from a first direction, or setting the electronic device to a second operating state in response to the specific object moving out of the detection area from a second direction, the first operating state being different from the second operating state when the first direction is different form the second direction.

Abstract: Signaling analysis methods and apparatus are provided to obtain a to-be-detected signaling flow that includes N pieces of signaling. First feature construction is performed on a message type and an information element that are included in each of the N pieces of signaling to obtain a first feature sequence. The first feature sequence includes N first feature vectors which are in a one-to-one correspondence with the N pieces of signaling. The first feature sequence is input to a first signaling anomaly detection model to perform anomaly detection processing. A first anomaly detection result is produced indicating that the to-be-detected signaling flow is normal or abnormal. In this way, an anomaly caused due to an information element error can be covered. The method and the apparatus can be multiplexed between different protocols.

Abstract: Provided are machine-learned attention models that feature omnidirectional processing, example implementations of which can be referred to as Omnidirectional Representations from Transformers (OMNINET). In example models described in the present disclosure, instead of maintaining a strictly horizontal receptive field, each token is allowed to attend to all tokens in some or all of the other tokens across the entire network.