Abstract: A display substrate comprises a base substrate that comprises a first display area provided with multiple sub-pixels of different colors. At least one sub-pixel comprises a light-emitting element and a pixel driving circuit for driving the light-emitting element to emit light. The light-emitting element comprises a first electrode, a second electrode, and an organic light-emitting layer provided between the first electrode and the second electrode. The first electrode is a reflective electrode and is electrically connected to the pixel driving circuit. A first structure is provided on a side of the first electrode of the light-emitting element of a sub-pixel of at least one target color close to the base substrate, and a surface of the first structure close to the first electrode is uneven.

Abstract: A body-worn camera and an operation method thereof are provided, and the body-worn camera a central processing unit, a video recording module, a turntable, and a main button. The video recording module is electrically connected to the central processing unit. The turntable is electrically connected to the central processing unit. The main button is electrically connected to the central processing unit. After the video recording module completes recording a video, when the central processing unit receives a category mode signal from the turntable and receives a category name confirmation signal from the main button, the central processing unit executes a video tagging program, and the video tagging program saves a corresponding relationship between a category name and the video.

Abstract: Disclosed are an interactive information processing method, an electronic device and a storage medium. The method includes establishing a correspondence between a multimedia data stream and a display text generated based on the multimedia data stream; presenting the multimedia data stream and the display text based on the correspondence; and in response to detecting a triggering operation triggering a display content in the display text, adjusting, based on a timestamp corresponding to the display content and the correspondence, the multimedia data stream to navigate to a playback position corresponding to the display content; the display content comprises a text corresponding to speech in the multimedia data stream; and the display text and the multimedia data stream are displayed on different display areas of a page respectively, and a display area occupied by the display text is not superimposed on a display area occupied by the multimedia data stream.

Abstract: An operation-indication mode switching structure, a circuit, and a method for operating the same are provided. The operation-indication mode switching structure is disposed on a housing of a device, and includes a switching mechanism that is used to switch multiple operation-indication modes. The switching mechanism is selectively connected with one of multiple signal terminals. When the switching mechanism is manipulated to switch to one of the operation-indication modes, a control unit of the device receives an operation-indication mode switching signal generated by the switching mechanism conducting or circuit-shorting one of the multiple signal terminals. A corresponding operation-indication mode that is a covert mode, a stealth mode, or a normal mode can be determined. The control unit is used to control an indication function of the device according to the operation-indication mode that is switched to.

Abstract: A method, apparatus, device, and medium for managing a contrastive learning model are provided. In one method, in a first training phase, a first contrastive learning model is generated by training the contrastive learning model with a first training sample set, a negative sample pair of the first training sample set comprising only data segments from different data sequences. In a second training phase, a second contrastive learning model is generated by training the first contrastive learning model with a second training sample set, a negative sample pair in the second training sample set comprising data segments from the same data sequence. Knowledge in terms of the appearance of the samples can be fully obtained in the first training phase, and knowledge in terms of the appearance and dynamics of the samples can be fully obtained in the second training, with example implementations of the present disclosure.

Abstract: A sitting posture detection method includes: identifying an input image to generate a face frame under detection and a human frame under detection of a person under detection; calculating a plurality of face angles of the face frame under detection; calculating a plurality of bone feature point coordinates of the human frame under detection; and generating standard sitting posture data according to the face angles and the bone feature point coordinates, and determining a sitting posture of the person under detection according to the face angles, the bone feature point coordinates and the standard sitting posture data.

Abstract: A foldable nozzle assembly and a bidet are provided. The foldable nozzle assembly includes a nozzle body. The nozzle body is equipped with a nozzle base, and a limiting component is installed between the nozzle base and the nozzle body. A rotational component on the nozzle base allows for the pivotal attachment of a rotating base, which supports a nozzle. The nozzle can be folded onto the nozzle base using the limiting component and the rotational component, enabling the foldable functionality of the bidet nozzle, reducing space occupation, and facilitating storage. The invention features a simple structure, ease of use, and practicality.

Abstract: A method of training and applying contrastive learning model. The method includes obtaining a sample set and label information for training contrastive learning model, the sample set including a plurality of first samples of a first modality and a plurality of second samples of a second modality, the label information indicating a correlation between samples of the plurality of first samples and samples of the plurality of second samples; determining whether sample mixing is to be performed on the first modality or the second modality; in accordance with a determination that sample mixing is to be performed on the first modality, generating at least one first mixed sample of the first modality by mixing at least one pair of first samples among the plurality of first samples; and training the contrastive learning model at least based on the at least one first mixed sample and first mixed label information.

Abstract: A solution for generating a negative sample pair of a contrastive learning model is provided. In one method, a first data segment is obtained from a first data sequence in a plurality of data sequences for training the contrastive learning model, and a second data segment is obtained from a second data sequence in the plurality of data sequences. A data frame is selected from a further data sequence than the second data sequence in the plurality of data sequences. A third data segment is generated based on the second data segment and the data frame. A negative sample pair for training the contrastive learning model is determined based on the first data segment and the third data segment. Therefore, richer semantic information can be introduced into negative sample pairs in terms of appearance, and further the accuracy of the contrastive learning model can be improved.

Abstract: A solution for generating a positive sample pair of a contrastive learning model is provided. In one method, a first data segment and a second data segment are respectively obtained from a first data sequence in plurality of data sequences for training the contrastive learning model, the first data sequence comprising a plurality of data frames. A data frame is selected from a second data sequence in the plurality of data sequences. A third data segment is generated based on the second data segment and the data frame. A positive sample pair for training the contrastive learning model is determined using the first data segment and the third data segment. In this way, positive samples that are more difficult to distinguish can be provided, thereby increasing the accuracy of the contrastive learning model and improving the training efficiency and accuracy of downstream models.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: A pattern decomposition method including following steps is provided. A target pattern is provided, wherein the target pattern includes first patterns and second patterns alternately arranged, and the width of the second pattern is greater than the width of the first pattern. Each of the second patterns is decomposed into a third pattern and a fourth pattern, wherein the third pattern and the fourth pattern have an overlapping portion, and a pattern formed by overlapping the third pattern and the fourth pattern is the same as the second pattern. The third patterns and the first pattern adjacent to the fourth pattern are designated as first photomask patterns of a first photomask. The fourth patterns and the first pattern adjacent to the third pattern are designated as second photomask patterns of a second photomask.

Abstract: An optical device is provided. The optical device includes a ring waveguide and a bus waveguide. The ring waveguide includes a coupling region. The bus waveguide is disposed adjacent to and spaced apart from the coupling region of the ring waveguide. The bus waveguide includes a coupling structure corresponding to the coupling region.

Abstract: In an embodiment, a method includes: placing a wafer on an implanter platen, the wafer including alignment marks; measuring a position of the wafer by measuring positions of the alignment marks with one or more cameras; determining an angular displacement between the position of the wafer and a reference position of the wafer; and rotating the implanter platen by the angular displacement.

Abstract: A method of contrastive learning comprises: determining, based on a model construction criterion, a first encoder for a first modality and a second encoder for a second modality; constructing a first contrastive learning model, the first contrastive learning model comprising the first encoder and a third encoder for the second modality, and a model capacity of the third encoder being greater than a model capacity of the second encoder; performing pre-training of the first contrastive learning model based on a first training dataset for the first modality and the second modality; and providing the pre-trained first encoder in the pre-trained first contrastive learning model for a downstream task. Because only the model capacity of one encoder is increased in the pre-training stage, model performance may be improved without increasing model training overhead during downstream task fine-tuning and model running overhead during model application.

Abstract: A semiconductor chip includes a first intellectual property block. There are a second intellectual property block and a third intellectual property block around the first intellectual property block. There is a multiple metal layer stack over the first intellectual property block, the second intellectual property block, and the third intellectual property block. An interconnect structure is situated in the upper portion of the multiple metal layer stack. The interconnect structure is configured for connecting the first intellectual property block and the second intellectual property block. In addition, at least a part of the interconnect structure extends across and over the third intellectual property block.

Abstract: Methods, apparatuses, a device, and a medium for training a contrastive learning model are provided. In a method, a plurality of sample sets for training the contrastive learning model are obtained, and the plurality of sample sets comprises a first sample set and a second sample set. A first target sample set is selected from the first sample set and the second sample set according to a predetermined rule. A first set of samples are determined based on the first target sample set according to a predefined batch size. The contrastive learning model is trained using the first set of samples. In this way, on the one hand, performance degradation of the contrastive learning model due to sample set bias may be avoided; on the other hand, a forgetting problem in the training process may be alleviated.

Abstract: An information encoding control method includes: receiving first configuration information, where the first configuration information is used to configure N groups of parameters of N artificial intelligence (AI) encoders or an AI decider, and the AI decider is configured to determine an AI encoder that is in the N AI encoders and to which first information is applicable, and/or is configured to determine that none of the N AI encoders is applicable to encoding the first information; and sending first indication information to a network device, where the first indication information indicates that a first encoder is used for encoding the first information, the first encoder is determined based on the first configuration information and the first information, and the first encoder is an encoder in the N AI encoders, or is a second encoder different from the N AI encoders.

Abstract: The present disclosure provides a method for photo-curing 4D printing of a multi-layer structure with an adjustable shape recovery speed, and a multi-layer structure printed thereby. The multi-layer structure printed by the method for photo-curing 4D printing of the multi-layer structure with the adjustable shape recovery speed includes a plurality of deformation units sequentially connected in series, and each of the plurality of the deformation units includes two slow layers, a fast layer, and a transition layer; and the fast layer is arranged between the two slow layers, and the transition layer is arranged between at least one of the two slow layers and the fast layer. In the present disclosure, a low cross-linking layer is doped with a nanocarbon light-absorbing material to solve the problem that the low cross-linking layer is prone to over-curing when a high cross-linking layer is printed on the low cross-linking layer.

Abstract: An interactive simulation system with a stereoscopic image and a method for operating the system are provided. The system includes a three-dimensional display and a control host. The stereoscopic image display is used to display a stereoscopic image. The system includes an interactive sensor that is used to sense gesture of a user or an action that the user manipulates a haptic device so as to produce sensing data. In the meantime, the system detects eye positions of the user. The changes of coordinates with respect to the gesture or the haptic device can be determined and referred to for forming a manipulation track. An interactive instruction can be determined. The stereoscopic image can be updated according to the interactive instruction and the eye positions of the user.