Abstract: This application discloses a data management method, apparatus, and system, and a storage medium, and belongs to the communication field. The method includes: obtaining first description information, where the first description information is used to describe a first row group, the first row group is a row group stored by a first storage system within a specified time period, and the first row group includes at least one row of data; and storing the first row group in a second storage system based on the first description information. This application can reduce operation costs and maintenance difficulty.

Abstract: A method and apparatus for generating a virtual character, an electronic device and a computer readable storage medium are provided. The method includes: performing mesh simplification on an initial model of a virtual character to obtain a mesh-simplified model; obtaining a first target model by performing white model mapping rendering on an area of each material type on the mesh-simplified model, and obtaining a second target model by performing hyper-realistic rendering on the area of each material type on the mesh-simplified model; and establishing a bidirectional mapping between the first target model and the second target model, and obtaining a target virtual character through iterative updating of the bidirectional mapping.

Abstract: The present invention discloses a fully bio-based, highly filled lignin-rubber masterbatch, a method for preparing same, and use thereof. The lignin-rubber masterbatch is prepared by a method comprising: (1) reacting a lignin, acetic acid, and oleic acid in the presence of a catalyst to give a modified lignin; and (2) blending the modified lignin and a rubber, and granulating to give the lignin-rubber masterbatch. The highly filled lignin-rubber masterbatch prepared by the present invention can replace the conventional reinforcing agent carbon black and provide a better reinforcing effect and higher mechanical properties for rubber materials. The present invention can also reduce the rubber content of the rubber composite materials while retaining the mechanical properties, thus featuring cost-efficiency.

Abstract: The present disclosure provides a display substrate and a display device: The display substrate has a display area, an edge area arranged on at least one side of the display area, and a transition area arranged between the display area and the edge area, the display substrate includes: a base substrate, a plurality of sub-pixels and a redundant line located on the base substrate, the plurality of sub-pixel being arranged in an array in the display area, the redundant line extending along a column direction of the sub-pixels and passing through the transition area; each sub-pixel includes: a pixel driving circuit; the pixel driving circuit includes a storage capacitor; at least a part of second electrodes of storage capacitors extend from the display area to the transition area and are electrically connected with the redundant line.

Abstract: A method for processing information is provided. The method includes obtaining input information to be processed. The method further includes determining execution information associated with processing of the input information. The execution information includes at least one of memory information to be retrieved or tool information to be invoked. The method further includes obtaining, by using the execution information, at least one piece of processing result information corresponding to the processing of the input information. The method further includes the at least one piece of processing result information to generate output information for feedback.

Abstract: Described herein are compositions and method for expressing therapeutics.

Abstract: Provided is a continuous blood glucose monitoring system, including a container shell, and a spring, a continuous blood glucose detection apparatus and a trigger structure which are arranged inside the container shell. One end of the spring is connected to an interior of the container shell, and the other end of the spring is connected to the continuous blood glucose detection apparatus. The trigger structure is arranged on a side edge of the interior of the container shell, a protruding portion is arranged on the trigger structure, which is unlockably locked with the continuous blood glucose detection apparatus. The continuous blood glucose detection apparatus includes: an apparatus shell and a circuit board arranged in the apparatus shell; a probe assembly being connected to the circuit board; and a pressure detection sensor connected to the circuit board, which being configured to detect a pressure change signal on the apparatus shell.

Abstract: Methods and systems include annotating a set of training data to indicate tokens that are sensitive. Instructions are generated based on the training data, including original token sequences and respective substituted token sequences. A language model is fine-tuned using the instructions with a penalty-based loss function to generate a privacy-protected language model.

Abstract: A method for training a three-dimensional face reconstruction model includes inputting an acquired sample face image into a three-dimensional face reconstruction model to obtain a coordinate transformation parameter and a face parameter of the sample face image; determining the three-dimensional stylized face image of the sample face image according to the face parameter of the sample face image and the acquired stylized face map of the sample face image; transforming the three-dimensional stylized face image of the sample face image into a camera coordinate system based on the coordinate transformation parameter, and rendering the transformed three-dimensional stylized face image to obtain a rendered map; and training the three-dimensional face reconstruction model according to the rendered map and the stylized face map of the sample face image.

Abstract: Systems and methods for log representation learning for automated system maintenance. An optimized parser can transform collected system logs into log templates. A tokenizer can tokenize the log templates partitioned into time windows to obtain log template tokens. The log template tokens can train a language model (LM) with deep learning to obtain a trained LM. The trained LM can detect anomalies from system logs to obtain detected anomalies. A corrective action can be performed on a monitored entity based on the detected anomalies.

Abstract: A query answering method, an electronic device, a storage medium, and an intelligent agent are provided, which relate to a field of artificial intelligence technology, and in particular to fields of large model, intelligent search and information processing technology. The method includes: inputting, in response to a retrieval content set retrieved based on a query, the query, the retrieval content set and prompt information for answer generation into the large model, so that the large model performs operations of: processing, based on a current task in the prompt information and the query, a current text corresponding to the retrieval content set to obtain a processed text, where the current task is determined based on a task execution order in the prompt information; and obtaining, in a case of determining that the processed text meets a preset condition, an answer to the query based on the processed text.

Abstract: An integrated device of bi-directional ultrasonic rolling, powder spreading, and compaction for additive manufacturing is provided, including an integrated device of ultrasonic rolling and powder spreading, and a platform lifting device. The integrated device of ultrasonic rolling and powder spreading is located above the platform lifting device. It can achieve ultrasonic rolling composite additive manufacturing, synchronously carry out ultrasonic rolling strengthening during selective laser melting process, improve the performance of manufacturing components, and the integrated device of ultrasonic rolling and powder spreading can achieve bi-directional strengthening, powder spreading and compaction.

Abstract: A diagnostic method and system for measuring potential and electric field of plasma are provided. According to operation parameters of a magnetic confinement fusion device and relevant parameter data of a plurality of candidate particle elements, signal-noise ratios are calculated. to select a neutral beam particle element. Beam trajectories varying in incident velocity, incident angle and sampling area are obtained by iterative calculation, and a preset parameter which enables the beam trajectories to pass through an entrance slit of an analyzer is obtained. A neutral beam that meets the preset parameter is injected into the plasma. An energy of the primary beam generated by collision ionization in a sampling area is measured, and potential of the sampling area is obtained according to law of conservation of energy. Sampling areas are detected to obtain potential spatial distribution of the plasma and a radial electric field, and the diagnostic is finished.

Abstract: The present disclosure provides an engineered Hansenula fungus that efficiently expresses CA10 (Coxsackievirus A10) virus-like particles and uses thereof. The engineered fungus includes a recombinant vector carrying the P1 and 3CD genes of the CA10 virus optimized according to preferred codons of Hansenula. The present disclosure also provides a preparation method for CA10 virus-like particles and vaccines prepared therefrom.

Abstract: Embodiments of the present application provides a base plate preform, a display module preform and methods for manufacturing them, the base plate preform comprising a functional area and a bonding area, the base plate preform further comprising: a substrate; a metal layer located on a side of the substrate, the metal layer comprising a metal wiring located in the functional area and a bonding pad located in the bonding area; a first organic layer located on a side of the metal layer away from the substrate, the first organic layer covering the metal wiring and at least a sidewall of the bonding pad.

Abstract: Embodiments of this application disclose a heat sink, a heat dissipation unit, and a server. A first surface of the heat sink is provided with a heat dissipation fin, and a second surface of the heat sink is configured to dock with a circuit board. A heating element, such as a chip, is arranged on the circuit board. A die of the chip is located on a surface of the chip away from the circuit board, that is, the chip is packaged into a flipchip or packaged into a flipchip with an exposed die. At a position corresponding to the die, the second surface of the heat sink is provided with a protection groove, with a cross-sectional area of the protection groove being at least greater than an area of the die.

Abstract: Systems and methods for a demonstration uncertainty-based artificial intelligence model for open information extraction. A large language model (LLM) can generate initial structured sentences using an initial prompt for a domain-specific instruction extracted from an unstructured text input. Structural similarities between the initial structured sentences and sentences from a training dataset can be determined to obtain structurally similar sentences. The LLM can identify relational triplets from combinations of tokens from generated sentences using and the structurally similar sentences. The relational triplets can be filtered based on a calculated demonstration uncertainty to obtain a filtered triplet list. A domain-specific task can be performed using the filtered triplet list to assist the decision-making process of a decision-making entity.

Abstract: Base station antennas include an externally accessible active antenna module releasably coupled to a recessed segment that is over a chamber in the base station antenna and that is longitudinally and laterally extending along and across a rear of a base station antenna housing. The base station antenna housing has a passive antenna assembly that cooperates with the active antenna module.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neural network parameters. The generative neural network processes the input in accordance with trained values of the plurality of generative neural network parameters to generate an extended image. The extended image has (i) more rows, more columns, or both than the provided image, and (ii) is predicted to be a realistic extension of the provided image. The generative neural network is trained using an adversarial loss objective function.

Abstract: Systems and methods for optimizing large language models (LLM) with domain-oriented model compression. Importance weights for general knowledge in a trained LLM, pretrained with deep learning, can be determined by computing the error when removing a weight from the trained LLM. The trained LLM can be iteratively optimized to obtain a domain-compressed LLM with domain knowledge while maintaining general knowledge by: fine-tuning the trained LLM iteratively with domain knowledge using the importance weights for general knowledge to obtain a fine-tuned LLM; determining importance weights for domain knowledge in the LLM with a regularization term by using gradient descent to optimize parameters when the fine-tuned LLM is trained with domain knowledge; and pruning learned knowledge based on importance weights for domain knowledge. A corrective action can be performed on a monitored entity using the domain-compressed LLM.