Abstract: A secondary battery, a battery module, a battery pack, and an electrical device are provided. The secondary battery includes a negative electrode plate, a positive electrode plate, and a separator located between the negative electrode plate and the positive electrode plate. The negative electrode plate or the separator includes a safety coating. A negative electrode charge capacity Nc and a positive electrode charge capacity Pc of the secondary battery satisfy: 0.45?Nc/Pc<1, and/or, a negative electrode discharge capacity Nd and a positive electrode discharge capacity Pd of the secondary battery satisfy: 0.45?Nd/Pd<1. By setting the values of Nc/Pc and/or Nd/Pd and disposing the safety coating in the secondary battery, this application achieves good cycle performance and safety performance while maintaining a high energy density of the secondary battery.

Abstract: According to embodiments of the disclosure, a method, an apparatus, a device, and a storage medium for item recommendation are provided. A method includes: obtaining activity information of a target user within a target time period, the activity information being related to at least one type of interaction activity performed by the target user within the target time period, and a participation degree of the target user in the at least one type of interaction activity satisfying a preset condition; recognizing one or more target items associated with the target user by using a machine learning model and based on the activity information and sample information of the at least one type of interaction activity; and presenting recommendation information about the one or more target items.

Abstract: A positive electrode active material, a preparation method thereof, a secondary battery, and an electric apparatus. The positive electrode active material includes a matrix and a coating layer at least partially covering the matrix. The positive electrode active material satisfies: W1>W2, where W1 is a mass content of Co element in the coating layer, and W2 is a mass content of Co element in the matrix, both based on a mass of the positive electrode active material.

Abstract: A process for capturing carbon dioxide (CO2) present in a gas stream is provided. The process includes providing a cooling tower that treats a gas stream. The gas stream including CO2 is introduced into the cooling tower. A liquid carbon-dioxide-capturing media is released into the gas stream in the cooling tower. The carbon-dioxide-capturing media absorbs the CO2 in the gas stream, and the carbon-dioxide-capturing media including the absorbed CO2 is collected. An absorber for capture of CO2 in a gas stream is also provided. The absorber includes a cooling tower for treatment of a gas stream including CO2. The cooling tower includes an input for the gas stream, an outlet for a treated gas stream, and a sprayer that releases liquid carbon-dioxide-capturing media into the cooling tower. The carbon-dioxide-capturing media absorbs the CO2 from the gas stream in the cooling tower. A collector collects the carbon-dioxide-capturing media including absorbed CO2.

Abstract: Aspects and features of the present disclosure provide a direct ray tracing operator with a low memory footprint for surfaces enriched with displacement maps. A graphics editing application can be used to manipulate displayed representations of a 3D object that include surfaces with displacement textures. The application creates an independent map of a displaced surface. The application ray-traces bounding volumes on the fly and uses the intersection of a query ray with a bounding volume to produce rendering information for a displaced surface. The rendering information can be used to generate displaced surfaces for various base surfaces without significant re-computation so that updated images can be rendered quickly, in real time or near real time.

Abstract: The present disclosure relates to a visible light-catalyzed translucent concrete, and a preparation method and use thereof. The preparation method includes: extracting an iron oxide from a copper slag, mixing the iron oxide with TiO2 to obtain a photocatalyst, and then mixing the photocatalyst with an additive to obtain a photocatalytic slurry; preparing a concrete slurry using the copper slag after iron extraction as an aggregate; and pouring the photocatalytic slurry, the concrete slurry, and the photocatalytic slurry in sequence into a mold pre-laid with an optical fiber, to obtain the visible light-catalyzed translucent concrete. In the visible light-catalyzed translucent concrete, iron in the copper slag is used as a part of raw materials of the photocatalyst, and the copper slag after iron extraction is used as an aggregate to replace natural sand and gravel. This solves environmental pollutions caused by the copper slag and realizes resource utilization.

Abstract: A secondary battery and an electric device are disclosed. The secondary battery includes a positive electrode sheet and a negative electrode sheet. The positive electrode sheet has a film layer comprising a positive electrode active material that contains transition metal elements, where nickel accounts for at least 85% of the total molar content of the transition metals. The energy per unit area of the positive electrode film layer on one side of the sheet ranges from 15 to 35 mWh/cm2. The negative electrode sheet includes a film layer with a carbon-silicon composite active material, in which silicon nanoparticles are attached to a carbon matrix having a carbon skeleton. The combination of a high-nickel positive electrode and a carbon-silicon composite negative electrode enhances the energy density of the secondary battery.

Abstract: The present disclosure provides a novel animal model of NEHI, and method of preventing and/or treating a pulmonary disease, particularly the lung-based complications in NEHI, such as pulmonary edema, by targeting the PNEC product, such as the CGRP signaling. Also disclosed is the pharmaceutical composition for preventing and/or treating a pulmonary edema and/or other pulmonary disease, particularly, NEHI, comprising one or more CGRP signaling antagonist and/or inhibitor of the present disclosure.

Abstract: In implementing per-asset denoising for real-time rendering of neural radiance fields (NeRFs), a processing device receives a three-dimensional (3D) representation of a scene as a NeRF. The processing device generates an intermediate rendering of the scene using the NeRF. The intermediate rendering is denoised using a machine-learning model to generate a final rendering. The machine-learning model is trained on another rendering of this scene, which was rendered using a non-real-time, high-quality rendering scheme. In other words, the machine-learning model is optimized for each scene and provides a lightweight denoising network to provide real-time NeRF rendering while maintaining the high-quality visuals of non-real-time rendering schemes. The final rendering is then presented via a display device.

Abstract: A medical rare event prediction method, apparatus and storage medium of multimodal data includes: on the basis of the existing model of the transformer, by preprocessing the data, the absence of imputed data, semantic feature extraction on structured data simultaneously leveraging powerful modeling capabilities exhibited by the model of transformers in multiple domains such as natural language processing and computer vision, again by extracting unstructured data, that is, the semantic characteristics of the text data, the semantic characteristics of the structured data and the unstructured data are fused, the prediction of the medical rare event is performed based on the fused characteristics, and the prediction of the medical rare event of the multimodal data is achieved using the structured data and the unstructured data, and the prediction accuracy is improved.

Abstract: Systems, apparatuses and methods may provide for technology that issues a program pulse to a selected subblock of a NAND memory array, conducts a pulse recovery phase after the program pulse, and shuts down unselected subblocks in the NAND memory array during the pulse recovery phase.

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate realistic shading for three-dimensional objects inserted into digital images. The disclosed system utilizes a light encoder neural network to generate a representation embedding of lighting in a digital image. Additionally, the disclosed system determines points of the three-dimensional object visible within a camera view. The disclosed system generates a self-occlusion map for the digital three-dimensional object by determining whether fixed sets of rays uniformly sampled from the points intersects with the digital three-dimensional object. The disclosed system utilizes a generator neural network to determine a shading map for the digital three-dimensional object based on the representation embedding of lighting in the digital image and the self-occlusion map.

Abstract: Techniques for generation of compressed representations for appearance of fiber-based digital assets are described that support computationally efficient and high fidelity rendering of digital assets that include fiber primitives under a variety of lighting conditions and view directions. A processing device, for instance, receives a digital asset that includes fiber primitives to be included in a three-dimensional digital scene. The processing device generates a compressed representation of the digital asset that maintains a geometry of the digital asset and includes a precomputed light transport. The processing device then inserts the compressed representation into the digital scene, such as at a location relative to one or more light sources. The processing device applies one or more lighting effects to the compressed representation based on the precomputed light transport and the location relative to the one or more light sources.

Abstract: In implementations of techniques and systems for digital hair simulation using an augmented mass-spring model, a processing device receives a hair model including multiple hair strands and a head geometry. Each hair strand is discretized into multiple particles connected by multiple first springs. The processing device also defines a rest configuration for each hair strand with ghost positions corresponding to the position of the multiple particles in the rest configuration. Each particle is connected to the rest configuration by second springs. The processing device then simulates the movement of the hair strands in response to an input action using the first and second springs. The simulated movement is presented via a display device.

Abstract: The present disclosure provides a preparation method of nano-aluminum oxide (nano-Al2O3) with a controllable hydroxyl content, belonging to the technical field of nano-alumina. H2O2 dissolved in water dissociates a large number of hydroxyl radicals. In the present disclosure, a resulting H2O2 solution is used as a solvent for precipitation; during the precipitation, a soluble aluminum salt and a pore-enlarging agent are reacted to generate a precipitate under alkaline conditions, and the hydroxyl radicals are distributed on a surface of the precipitate. During drying, the hydroxyl radicals are converted into bound water and distributed on a surface and in pores of an aluminum hydroxide precursor; during roasting, the bound water is destroyed to form hydroxyl. The hydroxyl content of the nano-Al2O3 can be regulated by controlling a concentration of the H2O2 solution, and the nano-Al2O3 has the hydroxyl content positively correlated with the concentration of the H2O2 solution.

Abstract: Provided are a silicon-carbon composite material and a preparation method therefor, a secondary battery, and an electric device. The silicon-carbon composite material comprises silicon-carbon secondary particles; the silicon-carbon secondary particles comprise silicon-carbon primary particles and one-dimensional conductive agents; the one-dimensional conductive agents are distributed between the silicon-carbon primary particles.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for image generation includes obtaining an object image and a target lighting indicator, generating a shading map based on the object image and the target lighting indicator, and generating a relighted image based on the object image and the shading map. The relighted image depicts an object from the object image with lighting based on the target lighting indicator.

Abstract: The present disclosure describes a server computing device configured for receiving from a remote computing device via an application, in response to a low-risk access request to a data resource, a programming call with a URL comprising an second identification data item encrypted from a first identification data item acquired by the remote computing device, obtaining a first context information item associated with the programming call, inputting the first context information item into a machine learning model to generate a second context information item, extracting the second identification data item from the URL, generating a third identification data item by decrypting the second identification data item, retrieving a prestored property data item associated with the third identification data item, and transmitting requested data to the remote computing device if comparing the second context information with the prestored property data item produces a match.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for image generation image generation may include obtaining a first image depicting a first view of an object, generating a second image depicting a second view of the object based on the first image, and generating a third image depicting a third view of the object based on the first image, where the third view is structurally consistent with the second view.

Abstract: In implementations of techniques and systems for digital hair generation using a parametric hair model, a processing device receives a shape parameter and a style parameter. The shape parameter represents the overall shape of a hair model, and the style parameter represents local strand details. Based on the shape parameter, a machine-learning model generates guide strands that sparsely represent the hair model. The machine-learning model also generates wisps based on the style parameter. The wisps indicate local strand details for the hair model. The processing device interpolates the wisps onto the guide strands to generate the digital hair model.