Abstract: A method of creating a digital activity may include selecting an interactive digital design element to be added to the digital activity, the interactive digital design element configured to allow multiple users to interact with the interactive digital design element when deploying the digital activity. The method may include generating a data structure, the data structure representative of a repository into which data representative of user inputs are stored when interacting with the interactive digital design element when deployed. The method may include deploying the interactive digital design element in a visual space shared between the multiple users.

Abstract: The disclosure relates to a method performed by an electronic device of a base station. The method includes: obtaining beam priority information of a plurality of beams for a plurality of user equipments (UEs); obtaining inter-beam interference information of the plurality of beams; identifying, based on the beam priority information and the inter-beam interference information, one of a plurality of beam pairing sets comprising two or more beams among the plurality of beams; and performing communication with at least one of the plurality of UEs via the identified beam pairing set.

Abstract: A method that includes collecting, by a computer, social network posts by social network friends of a user containing images. The method further includes identifying, by the computer, images within the social network posts containing the user through facial image recognition based on an image of the user in a user social network profile and determining, by the computer, information from the identified images containing the user within the social network posts for inclusion in the user social network profile. The method may further include updating, by the computer, the profile information of the user social network profile to include the information from the identified images containing the user within the social network posts.

Abstract: Embodiments of this application relate to the technical field of video shooting, and provide a video processing method and apparatus, an electronic device, and a storage medium. The video processing method includes: determining one video style template among a plurality of video style templates, where each video style template is corresponding to a preset look up table LUT; obtaining a video shot through a camera lens; processing the video shot through the camera lens by using a logarithm LOG curve corresponding to a current photosensitivity ISO of the camera lens, to obtain a LOG video; and processing the LOG video based on a LUT corresponding to the determined video style template, to obtain a video corresponding to the determined video style template.

Abstract: A charging device and an application thereof are provided. The charging device includes a housing, defining a receiving cavity; a circuit board, arranged in the receiving cavity; an input part, provided on the housing and configured for connection to an external power supply; and a plurality of output parts, provided on the housing, the input part and the output part being electrically connected via the circuit board. Each of the output parts includes at least one terminal, and the terminal is arranged in the receiving cavity and passes through the housing to a surface of the housing. The charging device can be applied to charge a wide range of electronic devices.

Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.

Abstract: Disclosed are a dynamic error measurement apparatus, system, and method for an electricity meter. The measurement apparatus includes a test signal generation unit configured to generate a voltage test signal and two-circuit current test signals, output the voltage test signal to a measurement unit, and output the two-circuit current test signals to the measurement unit and a current summation unit; the measurement unit configured to determine two-circuit electric energy values based on the voltage test signal and the two-circuit current test signals, and output the two-circuit electric energy values to a calculation control unit; the current summation unit configured to determine a combined current signal based on the two-circuit current test signals; and the calculation control unit configured to determine a total electric energy value based on the two-circuit electric energy values. The system includes a standard meter and a measurement apparatus.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may transmit, to a second UE, an indication of at least one sidelink unified transmission configuration indicator (TCI) state, wherein the at least one sidelink unified TCI state includes at least one of: a joint forward link and reverse link TCI state, a separate forward link TCI state, or a separate reverse link TCI state. The first UE may communicate with the second UE on at least one of the forward link or the reverse link based at least in part on the indication of the sidelink unified TCI state. Numerous other aspects are described.

Abstract: The present disclosure provides binding proteins, such as antibodies, that bind glucagon receptors, including a human glucagon receptor, and methods of their use.

Abstract: The present disclosure provides a blending method of high-quality and dual-purpose flour for bread and noodles, belonging to the technical field of flour processing. The method includes: selecting flour of a high-quality and dual-purpose wheat variety for bread and noodles as a high-quality basic flour for blending; according to a large gradient experimental design, selecting a gradient range ratio with a sedimentation value ?46.0 mL and a dough development time ?9.6 min, followed by subdividing for small gradient experiments; selecting a ratio with flour sedimentation value and dough development time that reach an ideal value to blend a large amount of flour; and making bread and noodles for scoring, followed by determining a blending ratio if a scoring result reaches an ideal value.

Abstract: The present disclosure relates generally to methods for the integration of electrochromic films onto a substrate, such as a glass window, and the systems/structures formed via such methods.

Abstract: A bifunctional catalyst and a preparation method therefor are provided. The bifunctional catalyst is prepared by providing carbon matrix, adding 0.01-10 mol/L platinum containing solution, 0.01-10 mol/L palladium containing solution, 0.01-10 mol/L silver containing solution, and 0.01-15 mol/L sodium citrate trihydrate solution to the carbon matrix for reacting at 20° C. to 80° C. for 0.5 h to 24 h to obtain a mixed solution, and adding reducing agent to the mixed solution for reacting for 0.5 h to 30 h, and centrifuging and drying so as to obtain the bifunctional catalyst.

Abstract: Disclosed is a prediction method for tool remaining life of a numerical control machine tool based on a hybrid neural model, including: constructing a hybrid neural network model, specifically including the following steps: constructing sample data according to the sampling frequency of tool data; obtaining a first feature vector representing the tool life by utilizing a convolutional neural network and a long short-term memory network; generating working condition signals of sampling points into a second feature vector representing the tool life by utilizing an NFM neural network; and inputting a current working time of a tool and the acquired feature vectors into a multi-layer perceptron for fusion to predict the tool life.

Abstract: Described herein is a mechanism for visual recognition of items or visual search using Optical Character Recognition (OCR) of text in images. Recognized OCR blocks in an image comprise position information and recognized text. The embodiments utilize a location-aware feature vector created using the position and recognized information in each recognized block. The location-aware features of the feature vector utilize position information associated with the block to calculate a weight for the block. The recognized text is used to construct a tri-character gram frequency, inverse document frequency (TGF-IDP) metric using tri-character grams extracted from the recognized text. Features in location-aware feature vector for the block are computed by multiplying the weight and the corresponding TGF-IDF metric. The location-aware feature vector for the image is the sum of the location-aware feature vectors for the individual blocks.

Abstract: An approach to precision additive fabrication uses jetting of cationic compositions in conjunction with a non-contact (e.g., optical) feedback approach. By not requiring contact to control the surface geometry of the object being manufactured, the approach is tolerant of the relative slow curing of the cationic composition, while maintaining the benefit of control of the deposition processes according to feedback during the fabrication processes. This approach provides a way to manufacture precision objects and benefit from material properties of the fabricated objects, for example, with isotropic properties, which may be at least partially a result of the slow curing, and flexible structures, which may not be attainable using conventional jetted acrylates.

Abstract: Embodiments of the present application provide a method for controlling a network connection, a terminal and a non-transitory storage medium. The method includes: detecting a state of a terminal, where the terminal is configured to communicate with both of a first base station and a second base station in the dual connectivity mode and the state of the terminal represents a connection status between the terminal and a network where the first base station locates; and prohibiting the terminal from connecting with the second base station in response to the state of the terminal representing the terminal is in an idle state and the terminal having been in the idle state for a predetermined time.

Abstract: The present disclosure pertains to techniques for reducing inaccuracies in context aware policies (CAP) with real-time feedforward validation in extended reality environments. In a particular aspect, a extended reality system is configured to author, by a user using the head-mounted device, a rule or policy or context aware policy (CAP) including one or more target actions and triggering context instances, capture, using one or more sensors, context history records for the user, render, by the head-mounted device, one or more validation scenes based on the rule or policy or CAP and the context history records, validate, by the user using the head-mounted device, the one or more validation scenes within an extended reality environment, and update, by the user using the head-mounted device, the rule or policy or CAP based on the validation.

Abstract: This application relates to the field of wireless communication technologies. A terminal device receives configuration information, which indicates that one first combination is mapped to a plurality of downlink reference signals, and one first combination is mapped to a plurality of second combinations. The terminal device then determines a mapping relationship between a first combination and downlink reference signals, a mapping relationship between a first combination and second combinations, and a mapping relationship between second combinations and downlink reference signals based on the configuration information. Next, a first preamble is sent on a first RO included in a first combination, and a first uplink reference signal is sent on a first PO included in a second combination. The selected first combination has a mapping relationship with the selected second combination. A selected downlink reference signal group is indicated by the selected first combination.

Abstract: An audio processing method includes obtaining a current to-be-recognized target audio block of a to-be-recognized audio, recognizing text information corresponding to the target audio block to obtain an audio block recognition result, based on the audio block recognition result, determining a first sub-block recognition result corresponding to a current sub-block formed by a starting audio block to the target audio block of the to-be-recognized audio, performing a combination process on identical text sequences of the first sub-block recognition result corresponding to different recognition paths, determining a second sub-block recognition result of the current sub-block based on a result of the combination process, and determining a text recognition result of the to-be-recognized audio based on the second sub-block recognition result.

Abstract: A method for recycling secondary battery charge materials includes a one-step molten-salt process to upcycle mixed Ni-lean polycrystalline NMC cathodes into Ni-rich single-crystal NMC cathodes. The method includes receiving a recycling stream of charge materials from end-of-lifetime batteries, adding additional charge materials based on an upcycled battery chemistry intended for the upgraded, recycled battery, and sintering the combined charge materials for generating a single crystal charge material corresponding to the upcycled battery chemistry using a molten salt direct recycling process.