Abstract: A protection method for a power conversion circuit is provided, including: calculating an attenuation amount of conversion efficiency of the power conversion circuit within a preset duration when the power conversion circuit is in a steady state; monitoring the attenuation amount based on a preset attenuation threshold, and obtaining a duration for which the attenuation amount is greater than the preset attenuation threshold; and performing a preset protection operation when the duration is greater than a preset protection duration.

Abstract: The present disclosure discloses a method and an apparatus for driving a digital human, and an electronic device. The method includes obtaining a target action corresponding to a target text; obtaining a reference action to be executed before the digital human executes the target action when the digital human is driven to output speech based on the target text; modifying a target action parameter of the target action according to a reference action parameter of the reference action; and driving the digital human to execute the target action according to a modified target action parameter when driving the digital human to output the speech based on the target text.

Abstract: An anode material and a battery provided. The anode material includes a carbon matrix and a silicon material. The anode material, tested by Raman spectroscopy, has a first characteristic peak at 520±10 cm?1 with a peak intensity of IA; a second characteristic peak at 960±10 cm?1 with a peak intensity of IB; and a third characteristic peak at 480±10 cm?1 with a peak intensity of IC, where IA, IB and IC have a relationship of 0.3?IA/(IB+IC)?0.6. The anode material provided has high initial Coulombic efficiency, high reversible capacity, and high expansion resistance.

Abstract: A method of denoising a plurality of input images, including grouping the plurality of input images into a plurality of groups; determining, for each group of the plurality of groups, an initial representative image for the group; performing, for each group, a sequence of T1 denoising sampling steps using a diffusion-based probabilistic model, starting with the initial representative image for the group, to generate a corresponding sequence of representative images for the group, wherein T1 is an integer greater than or equal to 1; and for each input image in each group, performing a second sequence of T2 denoising sampling steps using the model to generate a final image that is a restored image corresponding to the input image, wherein T2 is an integer greater than or equal to 1, and T=T1+T2.

Abstract: Systems and methods are described to extract desired audio from an apparatus to be worn on a user's head. An apparatus includes a head wearable device and an array of at least three microphones. The at least three microphones are arranged along a plurality of at least two non-parallel axes. Selection logic is configured to identify a selected axis from the plurality and two microphones from the array that form the selected axis. A beamformer is configured to accept as inputs, signals from the two microphones and to output a main microphone channel and a reference microphone channel.

Abstract: A control method for a synchronous BUCK circuit is disclosed, including: obtaining an input voltage, an output voltage and an output current of the synchronous BUCK circuit; obtaining a current state of the synchronous switch transistor; obtaining a turn-off current threshold when the synchronous switch transistor is in an on state; switching the synchronous switch transistor to an off state when the output current is less than the turn-off current threshold; calculating a duty ratio of a main switch transistor according to the input voltage, the output voltage and the turn-off current threshold; and generating a corresponding driving signal according to the duty ratio, to control the synchronous BUCK circuit.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

Abstract: Methods and compositions are provided for modifying the flowering time and/or maturity time of soybean plants to enable them to be cultivated in a variety of geographical locations having different day lengths. Modified soybean plants are disclosed comprising non-natural mutant alleles at the E1 and/or E1Lb locus. The modified plants have a shorter flowering and/or maturity time than control plants.

Abstract: A method of manufacturing a free-standing, sheet-type solid-state electrolyte is provided. The method includes: mixing a sulfide ion conductor-containing material and a non-polar or low-polar binder in a solvent to obtain a slurry composition; disposing the slurry composition onto a planar substrate; spreading the slurry composition on the substrate to obtain a film; calendering the film to densify the film; and subsequently drying the film under vacuum. The binder may be polyisobutylene and may be present in the slurry composition in an amount of up to 10 wt. %, optionally between 1 and 5 wt. %. The sulfide ion conductor-containing material may be a lithium argyrodite having the chemical formula Li6PS5X in which X is Cl, Br, or I. The solvent may be toluene or xylene. The film may have a thickness of between 10 and 200 ?m.

Abstract: Provided herein are compositions and methods for assembling nucleic acid sequences encoding T-cell receptors.

Abstract: A positioning method includes: receiving detection data sent by a positioning device, in which the detection data includes first satellite data of multiple satellites; determining prediction noise of each satellite based on the first satellite data, and determining a weight of each satellite based on the prediction noise; and determining a position of the positioning device based on the weight and observation equations.

Abstract: A method for obtaining information about a channel and a related apparatus are disclosed. The method includes: obtaining first feedback signals from a passive inter-modulation source; obtaining first update direction information based on the first feedback signals; and obtaining information about a channel with the passive inter-modulation source based on the first update direction information. According to the method and the apparatus, complexity of obtaining the information about the channel with the passive inter-modulation source can be reduced, time and power consumption required for obtaining the information about the channel can be reduced, and accuracy of the information about the channel can be improved.

Abstract: A method for preparing a functional membrane for recovering precious metal ions from oily wastewater is provided. The method includes: obtaining carbon nanotubes functionalized by polyacrylic acid (CNTs-PAA) by grafting acrylic acid onto a surface of carbon nanotubes (CNTs) via graft polymerization; obtaining carbon nanotubes modified by acyl hydrazine functional groups (CNTs-PAH) by reacting adipic dihydrazide (ADH) with carboxyl functional groups of the CNTs-PAA; preparing single-layer MXene nanosheets using Ti3AlC2 powder; and preparing a CNTs-PAH/MXene composite membrane by vacuum filtration based on the CNTs-PAH and the single-layer Mxene nanosheets.

Abstract: An optical system includes a housing defining a cylindrical lens array. A first light source is located in the housing and positioned to emit a first wavelength of light into a first field of illumination impinging on the cylindrical lens array. A second light source is located in the housing and positioned to emit a second wavelength of light into a second field of illumination impinging on the cylindrical lens array. The cylindrical lens array alters the first field of illumination and the second field of illumination and increases an overlap between the first field of illumination and the second field of illumination. A detector is located in the housing and positioned to receive a first redirected portion of the first wavelength of light and a second redirected portion of the second wavelength of light.

Abstract: A method for manufacturing an improved thin film composite solid electrolyte is provided. The method includes spray coating an aqueous suspension of ceramic particles onto a substrate to form a ceramic thin film. The film is sintered to form a porous ceramic structure having an interconnected necked morphology that defines cavities. The cavities are backfilled with an polymer electrolyte, for example a crosslinkable poly(ethylene oxide) (PEO)-based polymer electrolyte. The resulting thin film composite solid electrolyte is highly ionically conductive and mechanically robust with good manufacturability, particularly suitable for, but not limited to lithium metal batteries. The present method represents a departure from conventional mixing-then-casting methods and instead includes the fabrication of a solid electrolyte having a high ceramic volume fraction, high ionic conductivity, low thickness, and good chemical stability with metallic lithium.

Abstract: Aspects of the disclosure include methods and systems for leveraging a controllable diffusion model for dynamic image search in an image gallery recommendation service. An exemplary method can include displaying an image gallery having a plurality of gallery images and a dynamic image frame. The dynamic image frame can include a generated image and an interactive widget. The method can include receiving a user input in the interactive widget and generating, responsive to receiving the user input, an updated generated image by inputting, into a controllable diffusion model, the user input. The method can include replacing the generated image in the dynamic image frame with the updated generated image.

Abstract: A control method includes controlling a gimbal to send attitude information of an arm assembly of the gimbal to a load device carried by the arm assembly to allow the load device to adjust a display interface direction of the load device according to the attitude information of the arm assembly.

Abstract: A data query method and apparatus based on a large language model, an electronic device, a storage medium, and a computer program product are provided. The method may include: parsing a query request of a target object and determining an object demand of the target object, according to object background information of the target object by using a large language model; adjusting the query request according to the object demand, and generating an adjusted query request; and performing data query according to the adjusted query request to obtain a data query result.

Abstract: A method of denoising a plurality of input images, including grouping the plurality of input images into a plurality of groups; determining, for each group of the plurality of groups, an initial representative image for the group; performing, for each group, a sequence of T1 denoising sampling steps using a diffusion-based probabilistic model, starting with the initial representative image for the group, to generate a corresponding sequence of representative images for the group, wherein T1 is an integer greater than or equal to 1; and for each input image in each group, performing a second sequence of T2 denoising sampling steps using the model to generate a final image that is a restored image corresponding to the input image, wherein T2 is an integer greater than or equal to 1, and T=T1+T2.

Abstract: Representative embodiments disclose mechanisms to perform visual intent classification or visual intent detection or both on an image. Visual intent classification utilizes a trained machine learning model that classifies subjects in the image according to a classification taxonomy. The visual intent classification can be used as a pre-triggering mechanism to initiate further action in order to substantially save processing time. Example further actions include user scenarios, query formulation, user experience enhancement, and so forth. Visual intent detection utilizes a trained machine learning model to identify subjects in an image, place a bounding box around the image, and classify the subject according to the taxonomy. The trained machine learning model utilizes multiple feature detectors, multi-layer predictions, multilabel classifiers, and bounding box regression.