Abstract: This application discloses a communication method, apparatus, and system. The system includes a CU-CP and at least one DU, the CU-CP includes at least one first entity and a second entity, the second entity is configured to perform a function of an RRM algorithm in the base station, and the at least one first entity is configured to perform functions of a PDCP layer and an RRC layer in the base station.

Abstract: Disclosed is a method and a system for discovering adverse drug reaction signals based on causal discovery. According to the present application, a causality is introduced in the process of discovering adverse drug reaction signals by using electronic medical record data, the data dimension in real-world electronic medical record data is maximally reserved, a Bayesian network structure containing causal effects, as well as a set of confounding factors which plays a role in both a medication intervention and an occurrence of an adverse event are constructed. The method of constructing the set of confounding factors starts from the data, without artificial access and prior knowledge, and retains the confounding factors in the real world to the greatest extent. A medication intervention group and a control group are constructed based on these confounding factors, and the randomized controlled trial is simulated.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Disclosed is a method and an apparatus NER-orientated Chinese clinical text data augmentation, and unannotated data and annotated data of label linearization processing through data preprocessing. A concealed part is predicted based on retained information by using the unannotated data and concealing part of information in text, and meanwhile an entity word-level discrimination task is introduced for pre-training of a span-based language model; and a plurality of decoding mechanisms are introduced in a fine-tune stage, a relationship between a text vector and text data is obtained based on the pre-trained span-based language model, linearized data with entity labels is converted into the text vector, and text generation is performed through forward decoding and reverse decoding in a prediction stage of a text generation model to obtain enhanced data with annotation information.

Abstract: A parity checking method and apparatus for a qubit, a superconducting quantum chip, an electronic device, and a storage medium are provided. The method includes: configuring a measurement system for a qubit excited state measurement environment, the measurement system including: a first data qubit, a second data qubit, and an auxiliary qubit; determining a first operational frequency parameter of the first data qubit; determining a second operational frequency parameter of the second data qubit; determining a third operational frequency parameter of the auxiliary qubit; determining a logic gate matching the qubit excited state measurement environment based on the first operational frequency parameter, the second operational frequency parameter, and the third operational frequency parameter; and checking parity of a qubit in the qubit excited state measurement environment according to the logic gate.

Abstract: In some implementations, a memory device may detect a read command associated with reading data stored by the memory device. The memory device may determine whether the read command is from a host device in communication with the memory device. The memory device may select, based on whether the read command is from the host device, one of a first voltage pattern or a second voltage pattern to be applied to memory cells of the memory device to execute the read command, wherein the first voltage pattern is selected if the read command is from the host device and the second voltage pattern is selected if the read command is not from the host device, wherein the second voltage pattern is different from the first voltage pattern. The memory device may execute the read command using a selected one of the first voltage pattern or the second voltage pattern.

Abstract: The disclosure relates to a method, apparatus, readable medium, and electronic device for live stream interaction. The method includes: in accordance with displaying of a first control at a first target position of a live stream interface, obtaining a first duration during which a user watches the live stream interface; in accordance with a determination that the first duration is greater than or equal to a first predetermined duration threshold, switching the first control to a second control, and displaying the second control at a second target position of the live stream interface; and in response to a first operation command performed by the user on the second control, allocating a virtual resource to the user. In this way, interaction modes of a live stream room are enriched, and an activity level of the live stream room can be improved.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to preserve privacy in a user dataset including interface circuitry, machine readable instructions, and programmable circuitry to determine a data usage type for each one of a plurality of user data features in a first dataset, classify the data usage type associated with each user data feature of the plurality of user data feature into a feature category, apply at least one feature engineering mechanism to feature categories of the data usage types of the plurality of user data features, select, based on application of feature engineering, a subset of the plurality of user data features for a feature selection training model, and output a second dataset based on the subset of the plurality of user data for the feature selection training model, the second dataset to include fewer user data features than the first dataset.

Abstract: Disclosed are a method for adjusting a signal of a display panel, a time controller integrated circuit, a display panel, and a storage medium. The method includes: converting first data into a first data voltage signal using a first data voltage, in response to a set condition being reached, sending the first data voltage signal to a chip on film integrated circuit, the chip on film integrated circuit identifies the first data voltage signal to obtain a second data; acquiring the second data from the chip on film integrated circuit, determining that the chip on film integrated circuit fails to identify the first data in response to the second data being different from the first data; and adjusting the first data voltage until a second data voltage signal converted from the first data using a second data voltage after adjustment being successfully identified by the chip on film integrated circuit.

Abstract: A bullet-screen comment display method is provided.

Abstract: One of the main objects of the present invention is to provide a speaker with optimized overall acoustic performance. To achieve the above-mentioned object, the present invention provides a speaker including: a base with an accommodation cavity; a vibration sounding assembly accommodated in the accommodation cavity, including a first diaphragm and a second diaphragm, and a driver fixed to the first diaphragm for driving the first diaphragm and the second diaphragm to vibrate and produce sound. The second diaphragm stacks on the first diaphragm, and a stiffness of the second diaphragm is different from a stiffness of the first diaphragm.

Abstract: The present application provides a method for preparing a prelithiated positive electrode current collector, the method comprising the following steps: gasifying a lithium source in an evaporation chamber filled with a protective gas; enabling an aluminum foil layer to pass through the evaporation chamber and depositing the metal lithium on a surface of the aluminum foil layer by means of vapor deposition; and transferring the aluminum foil layer deposited with the metal lithium to an annealing chamber filled with a protective gas and performing high-temperature annealing to form a lithium-aluminum alloy layer on the surface of the aluminum foil layer.

Abstract: A system includes: 1) a battery configured to provide an input voltage (VIN); 2) switching converter circuitry coupled to the battery, wherein the switching converter circuitry includes a power switch; 3) a load coupled to an output of the switching converter circuitry; and 4) a control circuit coupled to the power switch. The control circuit includes: 1) a switch driver circuit coupled to the power switch; 2) a summing comparator circuit configured to output a first control signal that indicates when to turn the power switch on; and 3) an analog on-time extension circuit configured to extend an on-time of the power switch by gating a second control signal with the first control signal, wherein the second control signal indicates when to turn the power switch off.

Abstract: A system and method for detecting and resolving mis-transcriptions in a transcript generated by an automatic speech recognition system when transcribing spoken words. The system and method receive a machine language generated transcript of a speech signal by at least one of a first machine learning system and a second machine learning system, and analyze the machine language generated transcript to find a region of low confidence indicative of a mis-transcription and predict an improvement to the region of low confidence indicative of the mis-transcription. The system and method select a replacement word for the mis-transcription based on the predicted improvement to the region of low confidence and replace the mis-transcription by the replacement word to generate a corrected transcript.

Abstract: A display module (10) includes: a display panel (12) and a circuit board (14) coupled to the display panel (12). The display panel (12) includes a driving chip (122) and a display unit (124); and the circuit board (14) includes a first filter element (142), wherein the first filter element (142) is coupled to the driving chip (122) and the display unit (124), and a direct current signal output by the driving chip (122) is filtered by the first filter element (142) and then transmitted to the display unit (124). The present disclosure also provides a display apparatus (100).

Abstract: Disclosed in the disclosure are a method, system and apparatus for processing slice image for 3D printing, and a storage medium. The method includes: acquiring a slice image of a three-dimensional model, and a relationship between a grayscale compensation parameter and a size adjustment value; determining at least one size adjustment value according to the slice image; determining at least one grayscale compensation parameter according to the at least one size adjustment value and the relationship between the grayscale compensation parameter and the size adjustment value; and respectively performing grayscale processing on edge pixels of corresponding contours in the slice image according to the plurality of grayscale compensation parameters, where the processed slice image is used for 3D printing.

Abstract: Disclosed in the disclosure are a method, system and apparatus for processing slice image for 3D printing, and a storage medium. The method includes: acquiring a slice image of a three-dimensional model, and a relationship between a grayscale compensation parameter and a size adjustment value; determining at least one size adjustment value according to the slice image; determining at least one grayscale compensation parameter according to the at least one size adjustment value and the relationship between the grayscale compensation parameter and the size adjustment value; and respectively performing grayscale processing on edge pixels of corresponding contours in the slice image according to the plurality of grayscale compensation parameters, where the processed slice image is used for 3D printing.

Abstract: This application provides an image processing method and an electronic device. The image processing method includes: acquiring a plurality of frames of original images; adding a reference coordinate image layer to a second field-of-view image; obtaining an image layer set according to a first field-of-view image, the second field-of-view image, and the reference coordinate image layer; processing, by using a deep learning network model, the image layer set to obtain a first enhanced image; and obtaining a second enhanced image according to the first enhanced image. In the method, since the added reference coordinate image layer reflects a mapping relationship between a field of view corresponding to the first field-of-view image and a field of view corresponding to the second field-of-view image, through the addition of the reference coordinate image layer, priori information can be added, so that different adjustments can be made subsequently according to different field-of-view relationships.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed that include interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to associate first datapoints of a first feature with a first node, associate second datapoints of a second feature with a second node, construct a graph from the first datapoints and the second datapoints, and perform a comparison of a graph accuracy with a baseline accuracy.

Abstract: A glass panel and silicon wafer separation device for photovoltaic module recovery includes a tank body, a supporting plate and at least two floating blocks. The supporting plate is positioned in the tank body. A vertically arranged first cylinder is arranged at a lower end of the tank body. An output end of the first cylinder is fixedly connected to a lower end of the supporting plate. A groove is formed in an upper end of the supporting plate, and the groove is matched with a photovoltaic plate. A heating block is mounted at a lower end of an inner wall of the tank body. The at least two floating blocks are columnar. Lower ends of the at least two floating blocks are fixedly connected to chucks, and the chucks are downwards opened. Fixed pipes are connected between the at least two floating blocks.