Abstract: A secondary battery electrode plate and a preparation method therefor, and a secondary battery are provided. The secondary battery electrode plate includes a current collector and a first active material layer. The first active material layer is located on a surface of the current collector and contains first active substance particles The first active substance particles have an equivalent sphericity X1 as represented by formula X1=3/(S1R1?1), where 0.05?X1?0.8; R1 is a median radius of the first active substance particles in a unit of ?m; S1 is a specific surface area of the first active substance particles in a unit of m2/g; and ?1 is true density of the first active substance particles in a unit of g/cm3.

Abstract: An electrode plate includes an electrode active material layer. The electrode active material layer includes a three-dimensional conductive network base, and an electrode active material and a binder that are loaded on the three-dimensional conductive network base. The three-dimensional conductive network base and the electrode active material satisfy a relational expression below: d × 6 ? D 2 × ( m ? / ? ? D 3 6 ) ? V ? ( D 3 - ? ? D 3 6 ) × ( m ? / ? ? D 3 6 ) where V is an actual volume of the three-dimensional conductive network base, whose unit is cm3; m is mass of the electrode active material, whose unit is g; D is a D50 particle size of the electrode active material, whose unit is ?m; ? is true density of the electrode active material, whose unit is g/cm3; and d is a thickness of a single layer carbon atoms with a value of d is 0.334 nm.

Abstract: A positive electrode includes a current collector layer and an active component layer. The active component layer covers at least one surface of the current collector layer. The active component layer includes an active material and a conductive component. The conductive component includes at least one of a one-dimensional conductive material, a zero-dimensional conductive material, and a two-dimensional conductive material.

Abstract: Systems, methods, and computer-readable media for identifying a main group of people in an image via social relation recognition. The main group of people is identified within an image by identifying social relationships between people visible in the image. The identification of social relationships is performed by a Social Relation Recognition Network (SRRN) trained using deep learning. The SRRN combines two techniques for group identification, First Glance and Graph Reasoning, and fuses their outputs to generate a prediction of group membership. A group refinement module improves and filters the group membership after identification of an initial main group.

Abstract: Techniques for using multiple voice-enabled devices in a user environment to reduce the latency for obtaining responses to user utterances from a remote system. The voice-enabled devices may each establish connections with the remote system to have the remote system perform supplemental speech processing for utterances the devices are unable to process locally. One voice-enabled device may have a higher-latency connection to the remote system, and another voice-enabled device may have a lower-latency connection to the remote system. The lower-latency device may send an utterance to the remote system before the higher-latency device is able, and the remote system may begin processing the utterance faster than if the lower-latency device sent the utterance. The remote system may then provide a response for the utterance to the higher-latency device in less time than if the remote system had to wait for the utterance from the higher-latency device.

Abstract: An apparatus for wireless communication includes: a receiving unit, for receiving a first orthogonal time-frequency space symbol including multiple delay Doppler regions corresponding to multiple transmitting terminals; a processing unit, for executing the following steps: A1: dividing the multiple delay Doppler regions into multiple first-type sets according to different displacement intervals occupied in a first dimension, and performing iterative serial de-interference decoding on the multiple time-delay Doppler regions in a same first-class set; A2: dividing the multiple delay Doppler regions into multiple second-type sets according to different displacement intervals occupied in a second dimension, and performing iterative serial de-interference decoding on the multiple time-delay Doppler regions in a same second-class set. The first dimension is one of a delay dimension and a Doppler dimension, and the second dimension is the other dimension of the two dimensions.

Abstract: Provided are a method and molten salt system for recovering rare earth elements from NdFeB waste and use of ferric oxide as a raw material of a manganese-zinc ferrite. The molten salt system comprising the following components in percentage by weight: 40% of K3AlF6 or Na3AlF6, 40% of KBe2F5, and 20% of KAlF4. By adopting the three-component molten salt system of the present invention, recovery rates of rare earth elements extracted from NdFeB waste all can reach 98% or above. By adopting the three-component molten salt system, extraction temperature is 100-400° C. lower than that of all current similar halogenation methods, and extraction time is fold shorted to 1-3 h. The reduction of the extraction temperature and the shortening of the melting time greatly reduce the energy consumption of extracting rare earth elements from NdFeB waste, and the economic benefits are remarkable.

Abstract: An electrode includes n electrode plate layers sequentially stacked. The electrode plate layer close to a membrane side of the battery is the 1st layer, and the electrode plate layer close to a current collector side is the nth layer. N is a natural number greater than or equal to 2. An electrode material of the electrode plate layer at the 1st layer includes first particles, and an electrode material of the electrode plate layer at each layer from the 2nd layer to the nth layer includes at least the first particles and second particles. An average particle size of the first particles is greater than an average particle size of the second particles. Porosity of the electrode plate layers gradually increases layer by layer in a direction from the nth layer to the 1st layer.

Abstract: Provided is a method for preparing a soft magnetic manganese-zinc ferrite composite by removing impurities from industrial waste step by step. Manganese-containing waste residue is crushed and dried, and then mixed with a flux in a muffle furnace and roasted at a temperature below 1000° C. till solid-liquid stratification; then, multi-step impurity removal is performed to obtain a high-purity quaternary purification solution of manganese sulfate. Similarly, zinc residue is melted to remove impurities, and then multi-step impurity removal is performed to obtain a high-purity quaternary purification solution of zinc sulfate. According to a manganese-zinc-iron ratio required for the manganese-zinc ferrite, the two purification solutions are mixed, and ferrous sulfate is added.

Abstract: This disclosure provides for methods and a system for multiple instance segmentation and tracking. According to an aspect a method is provided. The method includes sending an image to a backbone network and generating image feature outputs. The method further includes sending the image feature outputs to a spatial attention module for generating a feature map associated with objects in the image. The method further includes sending the feature map to a category feature module for generating an instance category output indicating the objects. The method further includes sending the image feature outputs to a mask generating module for generating masks. The method further includes generating: the instance category output via the category feature module, and the masks via the mask generating module. In some embodiments, the method further includes generating re-identification embedding information associated with the objects based on image feature outputs.

Abstract: An apparatus for wireless communication includes: a receiving unit, for receiving a first orthogonal time-frequency space symbol including multiple delay Doppler regions corresponding to multiple transmitting terminals; a processing unit, for executing the following steps: A1: dividing the multiple delay Doppler regions into multiple first-type sets according to different displacement intervals occupied in a first dimension, and performing iterative serial de-interference decoding on the multiple time-delay Doppler regions in a same first-class set; A2: dividing the multiple delay Doppler regions into multiple second-type sets according to different displacement intervals occupied in a second dimension, and performing iterative serial de-interference decoding on the multiple time-delay Doppler regions in a same second-class set. The first dimension is one of a delay dimension and a Doppler dimension, and the second dimension is the other dimension of the two dimensions.

Abstract: The disclosure relates to the technical field of laundry apparatus manufacturing, and discloses a space textile cleaning equipment and a cleaning method, comprising a washing unit consisting of: a housing, in which a fixing plate for paving the fabric and a fixing clip for clamping and fixing the paved fabric are arranged; and a scraper corresponding to the fabric, which can move along the length direction or the width direction of the fixing plate, and is also provided with an atomizing nozzle for spraying detergent, with the outlet of the atomizing nozzle corresponds to the fabric.

Abstract: Provided are a method and molten salt system for recovering rare earth elements from NdFeB waste and use of ferric oxide as a raw material of a manganese-zinc ferrite. The molten salt system comprising the following components in percentage by weight: 40% of K3AlF6 or Na3AlF6, 40% of KBe2F5, and 20% of KAlF4. By adopting the three-component molten salt system of the present invention, recovery rates of rare earth elements extracted from NdFeB waste all can reach 98% or above. By adopting the three-component molten salt system, extraction temperature is 100-400° C. lower than that of all current similar halogenation methods, and extraction time is fold shorted to 1-3 h. The reduction of the extraction temperature and the shortening of the melting time greatly reduce the energy consumption of extracting rare earth elements from NdFeB waste, and the economic benefits are remarkable.

Abstract: A lithium-ion battery electrode includes a current collector and n electrode plate layers laminated on the current collector, n being an integer greater than or equal to 2. The electrode plate layer contains a pore-forming agent. A content of the pore-forming agent in the electrode plate layers gradually increases along a direction gradually away from the current collector. The pore-forming agent is selected from an electrolyte solution additive which is solid at normal temperature.

Abstract: Methods and systems for high-resolution image manipulation are disclosed. An original high-resolution image to be manipulated is obtained, as well as a driving signal indicating a manipulation result. The original high-resolution image is down-sampled to obtain a low-resolution image to be manipulated. Using a trained manipulation generator, a low-resolution manipulated image and a motion field are generated from the low-resolution image. The motion field represent pixel displacements of the low-resolution image to obtain the manipulation indicated by the driving signal. A high-frequency residual image is computed from the original high-resolution image. A high-frequency manipulated residual image is generated using the motion field. A high-resolution manipulated image is outputted by combining the high-frequency manipulated residual image and a low-frequency manipulated image generated from the low-resolution manipulated image by up-sampling.

Abstract: Embodiments are disclosed for articulated part extraction using images of animated characters from sprite sheets by a digital design system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a plurality of images depicting an animated character in different poses. The disclosed systems and methods further comprise, for each pair of images in the plurality of images, determining, by a first machine learning model, pixel correspondences between pixels of the pair of images, and determining, by a second machine learning model, pixel clusters representing the animated character, each pixel cluster corresponding to a different structural segment of the animated character. The disclosed systems and methods further comprise selecting a subset of clusters that reconstructs the different poses of the animated character. The disclosed systems and methods further comprise creating a rigged animated character based on the selected subset of clusters.

Abstract: Embodiments are disclosed for articulated part extraction using images of animated characters from sprite sheets by a digital design system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a plurality of images depicting an animated character in different poses. The disclosed systems and methods further comprise, for each pair of images in the plurality of images, determining, by a first machine learning model, pixel correspondences between pixels of the pair of images, and determining, by a second machine learning model, pixel clusters representing the animated character, each pixel cluster corresponding to a different structural segment of the animated character. The disclosed systems and methods further comprise selecting a subset of clusters that reconstructs the different poses of the animated character. The disclosed systems and methods further comprise creating a rigged animated character based on the selected subset of clusters.

Abstract: A data processing method, apparatus, a device, and a computer-readable medium are provided for use in fields such as artificial intelligence, assisted driving, and the like. An object pose detection result corresponding to an object in an image frame and a part pose detection result corresponding to a first object part of the object in the image frame is acquired. At least one object part of the object is missing from the object pose detection result. The first object part is one or more parts of the object. Interpolation processing is performed on the at least one object part missing from the object pose detection result according to the part pose detection result and a standard pose associated with the object to obtain a global pose corresponding to the object. The global pose is used for controlling a computer to realize a service function corresponding to the global pose.

Abstract: A method for synchronous production of manganese tetraoxide and ferric oxide for a soft magnetic material by using marine polymetallic nodules includes: 1) crushing and grinding marine manganese nodules and baking to a constant weight; thoroughly mixing with a mixed flux and roasting in a muffle furnace; 2) carrying out solid-liquid separation, washing solid-phase precipitates with water, grinding the solid, adding sulfuric acid, controlling the temperature to be below 50° C., and vacuuming a reactor up; 3) adding a reducing agent to react at room temperature for 5-10 min, adding ammonia water to adjust the pH value to 5.5, and carrying out separation and filtering; 4) controlling the temperatures of manganese sulfate and ferric sulfate solutions to be below 50° C., and adding ammonium sulfide; and 5) washing with deionized water, and calcining at 800-900° C. for 1-3 s by a suspension low-temperature instantaneous firing system.

Abstract: Systems, methods, and computer-readable media for identifying a main group of people in an image via social relation recognition. The main group of people is identified within an image by identifying social relationships between people visible in the image. The identification of social relationships is performed by a Social Relation Recognition Network (SRRN) trained using deep learning. The SRRN combines two techniques for group identification, First Glance and Graph Reasoning, and fuses their outputs to generate a prediction of group membership. A group refinement module improves and filters the group membership after identification of an initial main group.