Abstract: A positive electrode sheet in the secondary battery includes a positive electrode current collector, a positive electrode active material layer, and a positive electrode tab, where the positive electrode active material layer is disposed on at least one surface of the positive electrode current collector. The positive electrode active material layer is provided with a first groove exposing the positive electrode current collector. The positive electrode tab is disposed in the first groove and connected to the positive electrode current collector. An insulating tape is provided on each of a surface of the positive electrode tab and a region, corresponding to the first groove, of a surface of the positive electrode sheet away from the positive electrode tab. A melting point of the insulating tape is 250° C. to 450° C. An electrolyte includes carbonate and carboxylate.

Abstract: Provided are a workpiece edge measurement method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring a left image and a right image of an edge of a workpiece to be subjected to measurement that are collected by a binocular camera; performing line-to-line matching on the basis of at least one ray of light in the left image and at least one ray of light in the right image, so as to determine at least one line matching pair; determining a target leading edge point and a target trailing edge point of a projected ray of light corresponding to each line matching pair; and on the basis of the target leading edge point and the target trailing edge point of the projected ray of light corresponding to each line matching pair, determining the coordinates of the edge of said workpiece.

Abstract: A method, computer program product, and computer system for graphics processing unit (GPU) resource allocation for processing large language model (LLM) inference requests. Inputs of target request rate, target token throughput, and power budget are received. Each iteration of an iterative process includes: (i) monitoring metrics of current request rate, current token throughput, and current power consumption with respect to LLM inference requests submitted to multiple LLMs and processed by GPUs; (ii) calculating, from the monitored metrics, parameters of traffic factor (TF), throughput factor (TPF), power factor (PF), GPU scaling factor (GSF), and MIG scaling factor (MSF) via TF=current request rate/target request rate, TPF=target token throughput/current token throughput, PF=power budget/current power consumption; and (iii) converting as a function of GSF, MSF, and PF: (i) Multi-Instance GPU (MIG) service to GPU service or (ii) GPU service to MIG service.

Abstract: Provided is a recombinant promoter system specifically inducing gene expression after T cell activation. Also provided is a new T cell activation-induced recombinant promoter constructed by modifying and optimizing GM-CSF, IFNg and IL2 promoters. When CAR-T cells are activated, the recombinant promoter can efficiently induce the expression of downstream genes, with the activity thereof being superior to that of a traditional NFAT-responsive promoter constructed based on a binding sequence of a nuclear factor of activated T cells. Further provided are a CAR-T cell comprising the T cell activation-induced recombinant promoter and the use thereof.

Abstract: Various implementations relate to methods, systems, and computer readable media for providing conversational recommendations of virtual experiences within a virtual platform. According to one aspect, a computer-implemented method includes obtaining a natural language input from a user comprising a request for a recommendation of virtual experiences, analyzing the natural language input to determine a user intent and a plurality of user preferences, and generating a set of candidate recommendations based on the user intent and the plurality of user preferences. A ranking of the set of candidate recommendations is generated using weighted aggregation of evaluation metrics produced by a plurality of AI models. A set of refined recommendations is generated by modifying the ranking using a plurality of contextual cues across the plurality of AI models, and the set of refined recommendations is transmitted to the user.

Abstract: Methods, systems, and computer program products herein provide operations or techniques for managing resource allocation in a data storage environment. According to aspects of the present disclosure, one or more storage nodes of hierarchy on a common hierarchy level are identified as a management group. For example, the one or more storage nodes of hierarchy may include one or more object storage daemons (OSDs) of a controlled replication under scalable hashing (CRUSH) group or the like. The resource utilization in a subset of the one or more storage nodes in the management group are monitored. Based on the monitored resource utilization, a processing device may determine respective scaling factors for allocating resources to the one or more storage nodes in the management group. The processing device may then adjust the resource allocation using the respective scaling factors in the one or more storage nodes.

Abstract: In various embodiments, an inductor package comprises a first inductor that is arranged in a first orientation and produces a first magnetic flux in a first direction; and a second inductor that is arranged in a second orientation and produces a second magnetic flux in a second direction that at least partially cancels the first magnetic flux, where the first direction is opposite the second direction. In some embodiments, a printed circuit board assembly comprises a printed circuit board (PCB) layer, a first inductor that is arranged on the PCB layer at a first orientation and produces a first magnetic flux in a first direction, and a second inductor that is arranged on the PCB layer at a second orientation and produces a second magnetic flux in a second direction that at least partially cancels the first magnetic flux.

Abstract: A first image and a second image are accessed. The second image is generated by applying an augmented reality (AR) effect to the first image. The first image, the second image, and a prompt are provided to a visual-semantic machine learning model to obtain output describing at least one feature of the AR effect. A description of the AR effect is generated based on the output of the visual-semantic machine learning model. The description of the AR effect is stored in association with an identifier of the AR effect.

Abstract: According to an embodiment of the present invention, a computer system detects, via a plurality of models, sensitive information within a dataset. The plurality of models includes detection models each configured for detecting the sensitive information within the dataset based on a different detection technique and evaluation models configured for producing evaluations of the detection models with respect to detecting the sensitive information. A resulting detection is generated from determinations of the detection models based on a consensus of the evaluations of the detection models. Performance of the plurality of models is evaluated and modifications for the plurality of models are determined based on the performance. The plurality of models are adjusted for detection of the sensitive information in accordance with the modifications.

Abstract: Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.

Abstract: In various embodiments, an inductor package comprises a first portion of an inductor coil that runs substantially along a first axis and carries an electrical current along the first axis in a first direction to produce a first magnetic flux, and a second portion of the inductor coil that runs substantially along the first axis and carries the electrical current along the first axis in a second direction to produce a second magnetic flux that at least partially cancels the first magnetic flux, where the first direction is opposite the second direction.

Abstract: The present disclosure discloses a transmission tower, including a tower body and a composite crossarm disposed on the tower body. The composite crossarm includes at least one insulator and an end fitting. The end fitting is connected to a high-voltage end of the insulator to form an end part of the composite crossarm for attaching a first conductor. The end fitting includes a connecting part. The connecting part is provided with two wire attaching plates and a jumper connector. The two wire attaching plates are distributed on two sides of the connecting part in an extending direction of the first conductor. A first jumper is electrically connected to first conductors located on two sides of the tower body and is attached on the jumper connector.

Abstract: An autonomous motile device (AMD) may include a light detection and ranging (LIDAR) subsystem that is usable for floor detection. The LIDAR subsystem may include a LIDAR component and a fiducial disposed in a path of light emitted by the LIDAR component. The LIDAR component provides distance data to a processor, the distance data comprising one or more distance values based at least in part on light emitted towards the fiducial. The processor determines a value based on the distance data, and determines whether the value is outside of a predetermined range of values. If the value is out of bounds, this may be indicative of the LIDAR component having malfunctioned, and the processor may cause the AMD to perform an action in response to the LIDAR malfunction.

Abstract: A second input image is generated by applying a target augmented reality (AR) effect to a first input image. The first input image and the second input image are provided to a first visual-semantic machine learning model to obtain output describing at least one feature of the target AR effect. The first visual-semantic machine learning model is fine-tuned from a second visual-semantic machine learning model by using training samples. Each training sample comprises a first training image, a second training image, and a training description of a given AR effect. The second training image is generated by applying the given AR effect to the first training image. A description of the target AR effect is selected based on the output of the visual-semantic machine learning model. The description of the target AR effect is stored in association with an identifier of the target AR effect.

Abstract: Provided are an information processing method and apparatus, a device, and a storage medium. The information processing method includes: receiving target information, a session identifier of a source session group, and indication information that are transmitted by a server, in which the target information is generated based on to-be-forwarded information from the source session group, and the indication information indicates a type of the source session group; determining a display range of the target information and operation permission of the target information based on the indication information and the session identifier of the source session group; and rendering and displaying the target information in a target session based on the display range of the target information and the operation permission of the target information.

Abstract: Embodiments of this application provide a power converter. The power converter includes a controller, at least one bridge arm, and a first capacitor and a second capacitor that are connected in series. After the power converter is started, the controller controls a target switching transistor in each bridge arm to remain on. A target capacitor starts to be charged after the target switching transistor in each bridge arm is turned on. The target capacitor is at least one of the first capacitor or the second capacitor, and the target switching transistor is at least one of the switching transistors in each bridge arm. After the target capacitor is charged, and when a voltage across two ends of the target capacitor does not reach a voltage threshold, the controller outputs information indicating that a switching transistor short-circuit fault exists in each bridge arm.

Abstract: The present application provides a call request processing method, a network node, and a storage medium. The method comprises: after receiving a call request initiated by a UE, determining whether to trigger an assisted localization function for a serving-call session control function (S-CSCF) network element; if the assisted localization function is triggered, forwarding the call request to an application server (AS) network element; receiving information of the S-CSCF network element corresponding to the UE fed back by the AS network element on the basis of the call request, wherein the AS network element pre-stores the correspondence between the UE and the S-CSCF network element; and on the basis of the information of the S-CSCF network element provided by the AS network element, forwarding the call request to the S-CSCF network element corresponding to the UE, so that the S-CSCF network element corresponding to the UE processes the call request.

Abstract: An ultra-thin metal strip with a superficial micro-cup array structure and a preparation method thereof are provided. The preparation method includes: S1, cutting an ultra-thin metal strip and a highly elastic rubber to obtain a metal substrate and a highly elastic rubber strip; S2, subjecting the metal substrate to pre-rolling annealing to obtain a metal substrate after the pre-rolling annealing; S3, cleaning the metal substrate after the pre-rolling annealing; S4, stacking a resulting cleaned metal substrate against the highly elastic rubber, followed by rolling using a textured roll; and S5, after the rolling, peeling off the highly elastic rubber to obtain the ultra-thin metal strip with the superficial micro-cup array structure.

Abstract: A sanding-free preparation method and use of an ultra-thin double-layer metal composite strip are provided The sanding-free preparation method of the ultra-thin double-layer metal composite strip includes: S1, cutting an ultra-thin metal strip to obtain a metal substrate; S2, subjecting the metal substrate to pre-rolling annealing; S3, cleaning a resulting metal substrate after the pre-rolling annealing; S4, subjecting a resulting cleaned metal substrate to stacking in pairs and then rolling using a texturing roller together with a conventional flat roller; and S5, subjecting a resulting rolled metal substrate to post-rolling annealing and cooling in sequence to obtain the ultra-thin double-layer metal composite strip.