Abstract: A method in an illustrative embodiment includes storing one or more mapping entries of domain names to Internet protocol (IP) addresses in a cache of a programmable switch, wherein the mapping entries are obtained according to historical DNS responses from a DNS server; acquiring, by the programmable switch, a domain name in a DNS request received from a client; searching the cache of the programmable switch for an IP address corresponding to the domain name; generating, by the programmable switch according to the DNS request and the IP address corresponding to the domain name if the IP address is found, a DNS response that is to be sent to the client, wherein the DNS response comprises the IP address corresponding to the domain name that is found in the cache; and sending, by the programmable switch, the DNS response comprising the IP address to the client.

Abstract: This technology provides an Autonomous Vehicle (AV) Intelligent Control System (ICS) that integrates a sensing module for collecting driving environment data and an onboard unit (OBU) for vehicle control. The OBU includes a vehicle control module and communication modules for interacting with Traffic Control Centers (TCC/TCU) and Roadside Units (RSUs). These modules exchange information at the control level, such as vehicle positioning, speed, and environmental conditions, enabling the AV to operate safely and efficiently. The system also features redundancy through dual-security mechanisms, enhancing safety and reliability. The AV ICS is designed to distribute driving tasks and functions, utilizing both TCC/TCU and RSU data for vehicle control and monitoring, with wireless communication capabilities for seamless information exchange.

Abstract: Aspects of the disclosure provide compounds, compositions, and methods for modulating the expression or activity of plasma prekallikrein (PKK). In some aspects, the compounds, compositions, and methods of the disclosure can be used to reduce the expression of PKK mRNA in a cell or animal. In some aspects, the compounds, compositions, and methods of the disclosure can be used to reduce the expression of PKK protein in a cell or animal.

Abstract: The present application provides display substrates and their manufacturing methods, and display devices. A display substrate includes a base substrate, an encapsulation layer, a filter layer and optical film layers. The encapsulation layer is located on the base substrate. The filter layer is located in the encapsulation layer. The filter layer includes black matrixes. The black matrixes include black matrix openings. The optical film layers are located on a side of the encapsulation layer away from the base substrate. The optical film layers are configured to transmit part of incident light and absorb part of the incident light. A light transmittance of the optical film layers is larger than that of the black matrixes. The optical film layers include optical film layer openings. Projections of the optical film layer openings on the base substrate are located within projections of the black matrix openings on the base substrate.

Abstract: A battery cell includes a housing, an electrode component, an end cap, an electrode terminal, and an insulating component. The housing has an opening. The electrode component is accommodated within the housing. The end cap is configured to cover the opening. The electrode terminal is disposed on the end cap and electrically connected to the electrode component. The insulating component is configured to insulate and separate the end cap from the electrode terminal, and at least a part of the insulating component is located between the end cap and the electrode terminal and is attached to the end cap and the electrode terminal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image embedding model. In one aspect, a method comprises: obtaining training data comprising a plurality of training examples, wherein each training example comprises: an image pair comprising a first image and a second image; and selection data indicating one or more of: (i) a co-click rate of the image pair, and (ii) a similar-image click rate of the image pair; and using the training data to train an image embedding model having a plurality of image embedding model parameters.

Abstract: Blood pressure detection apparatuses and methods for detecting a blood pressure of a user are described comprising optical sensors/detectors and a force sensor and, in some embodiments, comprising only a force sensor, measuring force applied by a finger. Blood pressure is measured by applying an increasing (or decreasing) force or pressure with a finger of the user on at least the force sensor, which, in some embodiments, may be a plurality of increasing pressure steps, each step being held within a predetermined acceptable pressure/force tolerance range for a predetermined hold time, and measuring the force applied by the finger and, in some embodiments, optically measuring the blood in a vessel in the finger relating to the applied pressure/force. Feedback (visual, haptic, sound) of the applied pressure is provided to the user.

Abstract: The present invention relates a device for improving robustness of deep-learning based detection of source-code vulnerability, the device at least comprises a code-converting module, a mapping module, and a neural-network module, wherein the mapping module is in data connection with the code-converting module, the mapping module is in data connection with the neural-network module, respectively, and the neural-network module includes at least two first classifiers, based on a received first training program source code, the mapping module maps a plurality of code snippets, and the neural-network module trains the at least two first classifiers according to a first sample vector. The present invention improves the robustness of detection of source-code vulnerability by performing classification training on the feature generators and the classifiers.

Abstract: A lead trapping layer includes an acidic cation-exchange resin comprising a formula selected from the group consisting of Formulae (I) to (V) below, in which each M+is independently selected from the group consisting of Sr2+, Ca2+, Ni2+, Cu2+, Co2+, Zn2+, Mg2+, Ba2+, K+, NH4+, Na+, H+, and Li+; and each R is independently selected from the group consisting of SO3H, CH2SO3H, PO3H2, and COOH; and an encapsulation resin selected from the group consisting of epoxy resin, silicone resin, arcrylate resin, and a combination thereof. A solar cell device includes at least one lead trapping layer and a method may prepare the lead trapping layer.

Abstract: The present disclosure provides a lidar point cloud segmentation method, device, apparatus, and storage medium. In the method, the three-dimensional point cloud and the two-dimensional image of the target scene are obtained, and multiple image blocks are obtained by performing block processing on the two-dimensional image; one image block is randomly selected from the multiple image blocks and is outputted to the preset two-dimensional feature extraction network to generate multi-scale two-dimensional features; the feature extraction is performed based on the three-dimensional point cloud to generate multi-scale three-dimensional features; the multi-scale three-dimensional and two-dimensional features are fused to obtain fused features; the fused features are distilled to obtain a single-modal semantic segmentation model.

Abstract: Aspects of the disclosure provide nucleic acids for reducing expression of a target RNA. In some aspects, the disclosure provides nucleic acid modifications and base-pairing configurations useful in the design of nucleic acids for RNA interference.

Abstract: A sample-difference-based method and system for interpreting a deep-learning model for code classification is provided, wherein the method includes a step of off-line training an interpreter: constructing code transformation for every code sample in a training set to generate difference samples; generating difference samples respectively through feature deletion and code snippets extraction and then calculating feature importance scores accordingly; and inputting the original code samples, the difference samples and the feature importance scores into a neural network to get a trained interpreter; and a step of on-line interpreting the code samples: using the trained interpreter to extract important features from the snippets, then using an influence-function-based method to identify training samples that are most contributive to prediction, comparing the obtained important features and the most contributive training samples, and generating interpretation results for the object samples.

Abstract: A media application determines, based on pixels of images or videos from a collection of media items, clusters of media items such that the media items in each cluster have a visual similarity, wherein the collection of media items is associated with a user account. The media application selects a subset of the clusters of media from corresponding clusters of media items based on the media items in each cluster having a visual similarity within a range of threshold similarity values. The media application causes a user interface to be displayed that includes the subset of the clusters of media.

Abstract: A compound having HPK1 inhibitory activity as shown in formula (IA) or (IC), and a pharmaceutically acceptable salt, a stereoisomer, a solvate or a prodrug thereof, and a pharmaceutical composition containing the compound, and use of same in preparation of a drug for preventing and/or treating diseases or conditions associated with HPK1 activity.

Abstract: A battery cell includes an end cap and a welding portion. The end cap is provided with a recess recessed relative to a first face facing away from the inside of the battery cell, and an arc striking portion is arranged between the recess and the first face. The arc striking portion is a slope and has a first end and a second end opposite to each other, the thinner first end is connected to the recess, the thicker second end is connected to the first face. The welding portion is configured to connect the end cap to a tab of the battery cell, a central portion of the welding portion is located in the recess, and an end portion of the welding portion is located on the arc striking portion or the first face.

Abstract: The present application discloses a robot control method, a robot and a control terminal, which relate to the field of robot technology and can be used to improve the stability of the robot when there is a deviation between a desired posture and an actual posture of the robot. The robot control method includes calculating a first deviation between a current posture and the desired posture of the robot; updating dynamic parameters of the robot according to the first deviation; and obtaining a driving instruction of at least one joint module according to selected dynamic parameters to control the posture of the robot reaches or is close to the desired posture.

Abstract: A quick simulation method and apparatus for an integrated circuit, and a storage medium, are provided, wherein, by dividing a large-scale integrated circuit into a plurality of sub-circuit, then performing simulation on each sub-circuit, generating a corresponding function correspondence relation formula for each of those sub-circuits for which a simulated waveform is a periodic waveform, and then, when performing simulation on the large-scale integrated circuit, directly performing simulation on each of those sub-circuits for which the waveform is not a periodic waveform, and performing calculation by using the function correspondence relation formula corresponding to each of those sub-circuits for which the simulated waveform is a periodic waveform to complete a corresponding simulation thereof, so as to realize a simulation for the whole large-scale integrated circuit.

Abstract: RNAi agents for inhibiting the expression of the alpha-1 antitrypsin (AAT) gene, compositions including AAT RNAi agents, and methods of use are described. Also disclosed are pharmaceutical compositions including one or more AAT RNAi agents together with one or more excipients capable of delivering the RNAi agent(s) to a liver cell in vivo. Delivery of the AAT RNAi agent(s) to liver cells in vivo inhibits AAT gene expression and treats diseases associated with AAT deficiency such as chronic hepatitis, cirrhosis, hepatocellular carcinoma, transaminitis, cholestasis, fibrosis, and fulminant hepatic failure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for realizing a multimodal image classifier. In an aspect, a method includes, for each image of a plurality of images: processing the image by a textual generator model to obtain a set of phrases that are descriptive of the content of the image, wherein each phrase is one or more terms, processing the set of phrases by a textual embedding model to obtain an embedding of predicted text for the image, and processing the image using an image embedding model to obtain an embedding of image pixels of the image. Then a multimodal image classifier is trained on the embeddings of predicted text for the images and the embeddings of image pixels for the images to produce, as output, labels of an output taxonomy to classify an image based on the image as input.