Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive, from a second network node associated with a reconfigurable intelligent surface (RIS), positioning information associated with the RIS. The first network node may communicate, with a third network node, using a beam of a set of beams that is configured based at least in part on the positioning information. Numerous other aspects are described.

Abstract: A waveguide for a display system includes a waveguide body extending from an input end to an output end and configured to guide light by total internal reflection from the input end to the output end, a first array of partial reflectors disposed within a first strata of the waveguide body, and a second array of partial reflectors disposed within a second strata of the waveguide body overlying the first strata.

Abstract: Techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. The chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. Each binary classifier of the set of binary classifiers can be associated with a modified logit function. The method can also include the machine-learning model using the modified logit function to generate a set of distance-based logit values for the utterance. The method can also include the machine-learning model applying an enhanced activation function to the set of distance-based logit values to generate a predicted output. The method can also include the chatbot system classifying, based on the predicted output, the utterance as being associated with the particular class.

Abstract: A modular adversarial training data generator (“generator”) generates adversarial training data for a machine learning (ML) model to detect malicious protocol data units (PDUs). The adversarial training data mimics high volume cyberattacks by perturbing PDUs to bypass malicious detection systems. For HyperText Transfer Protocol (HTTP) PDUs, the generator rearranged, replaces, and grid searches values of HTTP header fields to generate the adversarial training data. The generator further biases grid search based on metrics for values of HTTP header fields that quantify impact of replacing the values on malicious verdicts by ML models trained on the adversarial training data.

Abstract: The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.

Abstract: A method for authorizing a blockchain data access on a blockchain platform includes: obtaining from a third-party institution a data access request containing a user ID of data access, a data scope, and a random number of a signature, which is generated by the third-party institution after receiving a random number sent by a client terminal and signing on the received random number; performing a verification on the random number of the signature and the data scope; and after the verification is passed, sending data ciphertext corresponding to the user ID to the third-party institution, such that the third-party institution decrypts the data ciphertext using a data secret key sent by the client terminal.

Abstract: Disclosed are a sequence generation method, a sequence generation apparatus and a non-transitory computer-readable storage medium. The sequence generation method may include generating a first sequence according to a pre-generated random sequence, and using the first sequence as a reference signal sequence. The first sequence has a plurality of elements which are all in a form of complex numbers and have a same modulus value, a phase difference between two adjacent elements is less than ?/2, and the modulus value is an amplitude value indicating signal strength.

Abstract: Methods for reducing resistivity of metal gapfill include depositing a conformal layer in an opening of a feature and on a field of a substrate with a first thickness of the conformal layer of approximately 10 microns or less, depositing a non-conformal metal layer directly on the conformal layer at a bottom of the opening and directly on the field using an anisotropic deposition process. A second thickness of the non-conformal metal layer on the field and on the bottom of the feature is approximately 30 microns or greater. And depositing a metal gapfill material in the opening of the feature and on the field where the metal gapfill material completely fills the opening without any voids.

Abstract: Disclosed are a test routes planning method and apparatus of a vehicle on actual roads, a medium and a device. The method includes the following steps: dividing road traffic scenes; calculating traffic scene characteristics based on the divided road traffic scenes; constructing a preliminary road selection database for test routes; and completing a planning of the test routes of the vehicle on the actual roads at different speeds in different traffic scenes by leveraging a genetic algorithm based on the preliminary road selection database for the test routes. The present disclosure provides a solution for planning the test routes of the vehicle on the actual roads. In the solution, the travel speed distribution of a user is obtained through calculation based on traffic flow big data, and the planning of the test routes on the actual roads in different traffic scenes is completed by leveraging the genetic algorithm.

Abstract: A high-resolution phase detection method and system based on a plane grating laser interferometer. The method uses a dual-frequency interferometer to measure the displacement, and the measurement signal processing comprises an integral part and a decimal portion, a phase equation set of a displacement measurement signal is constructed according to a measurement optical path principle of a heterodyne plane grating laser interferometer; a non-linear equation set for which the unknowns are instantaneous phase, interval phase and signal amplitude is established; and the equation sets above are solved by using the least squares method, so as to realize phase discrimination, thereby realizing precise displacement measurement. The method can solve the problems in the traditional time measurement-based phase detection technology, such as low measurement accuracy, and failing to satisfy small measuring range measurement.

Abstract: A power electronic device on a direct-current side of a photovoltaic system, and a test system and a control method therefor, achieving a simple, fast, and low-cost functional test on the power electronic device during a production process or a troubleshooting process of the power electronic device on the direct-current side of the photovoltaic system. The power electronic device is used for detecting a fluctuation of an electric signal parameter of an input end of the power electronic device; when the fluctuation meets a preset condition, the device is switched from a limited output state to a non-limited output state; the fluctuation of the electric signal parameter of the input end is generated by applying a disturbance to the input end of the power electronic device on the direct-current side of the photovoltaic system by a direct-current power supply having a disturbance output.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration that indicates a sounding reference signal (SRS) resource set to be used for analog channel state feedback (CSF) and an association between the SRS resource set and a set of downlink channel state information reference signals (CSI-RSs). The UE may measure the set of downlink CSI-RSs associated with the SRS resource set. The UE may transmit one or more SRSs for analog CSF using the SRS resource set and based at least in part on measuring the set of downlink CSI-RSs. Numerous other aspects are provided.

Abstract: A mesoporous cerium oxide nano-material and a preparation method and an application thereof are provided in the present disclosure, belonging to the technical field of porous materials. The preparation method includes the following steps: using porous organic frameworks material as a templating agent, impregnating and adsorbing cerium salt precursor under an action of alkali, and removing the templating agent by roasting pyrolysis to obtain the mesoporous cerium oxide nano-material. POFs is carbonized into mesoporous carbon materials by calcination in inert atmosphere, which supports the mesoporous channels of cerium oxide, and then the carbonized carbon materials of POFs are removed by calcination in air atmosphere, forming the mesoporous structure of cerium oxide. The mesoporous cerium oxide nano-material prepared by the present disclosure has a high specific surface area and mesoporous structure, and is used as a catalytic material or catalyst carrier.

Abstract: Disclosed herein are novel selectable markers and uses thereof. Specifically, provided herein are uses of nucleotide sequences encoding a glutamine synthetase (GS) derived from platypus, turtle, rat, opossum, wombat, or zebra finch as selectable markers for identifying genomic loci with high transcriptional activity or host cells having high productivity of a protein of interest, and/or allowing accelerated cell isolation expressing a protein of interest. Related methods of screening, methods of production, and expression systems are also included.

Abstract: Aspects described herein relate to transmitting an indication of a capability to support concurrent or time division multiplexed uplink transmission of at least one of multiple uplink channels across multiple component carriers. In addition, a configuration to transmit over the at least one of the multiple uplink channels over the multiple component carriers using concurrent transmission or time division multiplexed transmission can be received based on the indication.

Abstract: In one example method, a first image including M objects is obtained. For N objects in the M objects, when N is greater than or equal to 2, arrangement orders of the N objects is determined, where an arrangement order of any one of the N objects is determined based on at least one of a scene intent weight, a confidence score, or an object relationship score. The scene intent weight is used to indicate a probability that the any object is searched in a scene corresponding to the first image, the confidence score is a similarity between the any object and an image in an image library, and the object relationship score is used to indicate importance of the any object in the first image. Search results of some or all of the N objects are fed back according to the arrangement orders of the N objects.

Abstract: Techniques are disclosed herein for improving the performance of an end-to-end (E2E) Automatic Speech Recognition (ASR) model in a target domain. A set of test examples are generated. The set of test examples comprise multiple subsets of test examples and each subset of test examples corresponds to a particular test category. A machine language model is then used to convert audio samples of the subset of test examples to text transcripts. A word error rate is determined for the subset of test examples. A test category is then selected based on the word error rates and a set of training examples is generated for training the ASR model in a particular target domain from a selected subset of test examples The training examples are used to fine-tune the model in the target domain. The trained model is then deployed in a cloud infrastructure of a cloud service provider.

Abstract: Embodiments of this application provide a battery and an electric apparatus. The battery includes a battery cell group and one or more thermal management components. The battery cell group includes a plurality of battery cells, and the one or more thermal management components are configured to regulate temperature of the battery cell group, where at least two surfaces of the battery cell are thermally connected to the one or more thermal management components.

Abstract: A base station may select at least one of one or more 2D beams for at least one first SSB of a plurality of SSBs or one or more 3D beams for at least one second SSB of the plurality of SSBs. A UE may identify a beam type of at least one of one or more 2D beams for at least one first SSB of a plurality of SSBs or one or more 3D beams for at least one second SSB of the plurality of SSBs. The base station may transmit, to the UE, at least one of the at least one first SSB via the one or more 2D beams or the at least one second SSB via the one or more 3D beams.

Abstract: Provided herein is a method and a system for data-driven prediction based on spatial information constraints, belonging to the technical field of intelligent information processing. The method comprises: prediction target interpolation based on collocated Co-Kriging; sample weight calculation based on sequential Gaussian simulation and loss function construction based on spatial information constraints; optimization of loss function and data-driven prediction based on deep fully connected neural network. The system comprises: data acquisition module, data preprocessing module, prediction target interpolation module, sample weight calculation module, loss function construction module, loss function optimization module, data-driven prediction module.