Abstract: An anisotropic bonded magnet and a preparation method thereof are provided. Through a method of stacking magnets which are different in content of SmFeN and/or have different densities, the magnets in the middle have high properties and the magnets at two ends and/or the periphery have low properties, thereby compensating for a property deviation caused by a difference in densities during a pressing process, and improving the property uniformity of the magnets in an axial direction. The method avoids the phenomenon of non-uniform magnetic field orientation and density in a height direction during orientation and densification as well as the phenomenon of low in the middle and high at two ends.

Abstract: Disclosed are an organic slurry for neodymium iron boron screen printing and a preparation method. The organic slurry includes a rare earth powder, an organic solvent, a resin, a dispersant, and/or a leveling agent, weight percentages of which are as follows: rare earth powder 50%-90%; organic solvent 8%-50%; resin 0.4%-6%; dispersant 0%-5%; and leveling agent 0%-3%. The preparation method includes: sequentially adding the weighed organic solvent, resin, dispersant, and/or leveling agent into a mixer, stirring at a constant temperature, and then cooling to room temperature to obtain an organic carrier; adding the organic carrier and the weighed rare earth powder into a vacuum high-speed disperser, and dispersing at a high speed to obtain a crude organic slurry; and transferring the crude organic slurry to a gap adjustable three-roll grinder, and grinding to obtain a fine organic slurry.

Abstract: Disclosed are an organic slurry with a gradient volatilization rate and a preparation method. The organic slurry includes a rare earth powder, an organic solvent, a resin, a dispersant, and/or an anti-settling agent, and/or a synergist, weight percentages of which are as follows: rare earth powder 50%-90%; organic solvent 8%-50%; resin 0.4%-6%; dispersant 0%-5%; anti-settling agent 0%-3%; and synergist 0%-3%. The preparation method includes: weighing the rare earth powder, organic solvent, resin, dispersant, and/or anti-settling agent, and/or synergist by weight percentage; sequentially adding the weighed ingredients into a mixer, stirring at a constant temperature, and then cooling to room temperature to obtain an organic carrier; adding the organic carrier and the weighed rare earth powder into a vacuum high-speed disperser to obtain a crude organic slurry; and transferring the crude organic slurry to a gap adjustable three-roll grinder for grinding to obtain a fine organic slurry.

Abstract: A shoe counter structure, having a cross sectional shape curved as a C-shape; an inner upper portion of a support frame of the shoe counter structure is provided with a U-shaped clamping portion; two sides of the clamping portion are inclined outwardly towards two sides of the shoe counter structure, a middle part of the clamping portion is recessed inwardly towards a rear side of the shoe counter structure to form a first tendon accommodating groove. The support frame provides stable supporting force for the shoe counter, and the U-shaped clamping portion improve the alignment of the shoe counter with the ankle of the user.

Abstract: Disclosed are an interface displaying method and apparatus, an electronic device and a storage medium. The method includes: receiving a first operation triggered on the basis of a display interface, the display interface including at least one target content associated with a preset subject, and the at least one target content being content published by a target user, and in response to the first preset operation, displaying a related interface of a group, wherein users in the group are associated with the target user.

Abstract: According to embodiments of the present disclosure, there is provided a solution for reading order detection in a document. In the solution, a computer-implemented method includes: determining a text sequence and layout information presented in a document, the text sequence comprising a plurality of text elements, the layout information indicating a spatial layout of the plurality of text elements in the document; generating a plurality of semantic feature representations corresponding to the plurality of text elements based at least on the text sequence and the layout information; and determining a reading order of the plurality of text elements in the document based on the plurality of semantic feature representations. According to the solution, the introduction of the layout information can better characterize a spatial layout manner of the text elements in a specific document, thereby determining the reading order more effectively and accurately.

Abstract: Aspects of the disclosure are directed to thermal management. In accordance with one aspect, an apparatus includes a metal mesh layer; a porous metal powder layer coupled to the metal mesh layer; and a metal substrate coupled to the porous metal powder layer. In accordance with one aspect, a method includes introducing a working fluid from a condenser structure into a boiler structure to generate a vaporized fluid; transporting the vaporized fluid through a hybrid wick structure coupled to the boiler structure to generate a pressurized fluid; and injecting the pressurized fluid into the condenser structure to convert the pressurized fluid into a condensed fluid.

Abstract: Disclosed are a gradient ring-shaped bonded magnet and a preparation method therefor, and a motor. The gradient ring-shaped bonded magnet includes: a magnet body and at least one reinforcement layer. The magnet body is a ring-shaped cylinder; the reinforcement layer is in pressing fit with a surface of the magnet body; a material of the magnet body is a first permanent magnet, and a material of the reinforcement layer is a second permanent magnet; and the coercivity property, the remanence property and/or the maximum working temperature of the second permanent magnet are/is higher than those of the first permanent magnet.

Abstract: Disclosed are anisotropic samarium-iron-nitrogen magnetic alloy powder and a preparation method therefor. The anisotropic samarium-iron-nitrogen magnetic alloy powder has a chemical formula of Sm2Fe17N3, and has a Th2Zn17 crystal structure. In the alloy powder, the granularity is: D90?5 ?m and D10?0.5 ?m, the average sphericity ?0.7, the coercivity Hcj?10 kOe, and the square degree Q?0.5. The preparation method includes: S1: mixing iron powder, samarium oxide powder and calcium granules uniformly; S2: placing the mixture into a rotating heat treatment furnace, adding high-temperature-resistant balls, performing vacuumizing, introducing a reductive diffusion protective gas, and heating a furnace body; S3: cooling the furnace body, performing vacuumizing, and introducing a nitriding gas; and S4: taking out and separating the cooled powder and balls, washing the powder, and drying the powder in a vacuum environment to obtain the anisotropic samarium-iron-nitrogen magnetic alloy powder.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The processing devices are configured to, in each of a plurality of iterations, at each of the processing devices, receive a respective plurality of input tokens. Executing the MoE layer further includes, at each of the processing devices, selecting one or more destination expert sub-models associated with the input tokens. Respective numbers k of expert sub-models selected differ across the iterations. At each of the processing devices, executing the MoE layer further includes conveying the input tokens to the one or more destination expert sub-models. Executing the MoE layer further includes generating one or more respective expert sub-model outputs at the one or more destination expert sub-models. Executing the MoE layer further includes generating and outputting an MoE layer output based on the one or more expert sub-model outputs.

Abstract: A method for preparing a rare earth anisotropic bonded magnetic powder, comprises the following steps: (1) preparing raw powder with RTBH as the main component, wherein, R is Nd or Pr/Nd, and T is a transition metal containing Fe; (2) adding La hydride or Ce hydride and copper powder to the raw powder to form a mixture; (3) subjecting the mixture to atmosphere diffusion heat treatment to give the rare earth anisotropic bonded magnetic powder.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The processing devices are configured to execute the MoE layer at least in part by, during a first collective communication phase between the processing devices, splitting each of a plurality of first input tensors along a first dimension to obtain first output tensors. Executing the MoE layer further includes processing the first output tensors at a respective a plurality of expert sub-models to obtain a plurality of second input tensors. Executing the MoE layer further includes, during a second collective communication phase between the processing devices, receiving the second input tensors from the expert sub-models and concatenating the second input tensors along the first dimension to obtain second output tensors. Executing the MoE layer further includes outputting the second output tensors as output of the MoE layer.

Abstract: A computing system is provided, including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The MoE layer includes a plurality of expert sub-models that each have a respective plurality of parameter values. The MoE layer is configured to be switchable between a data parallel mode and an expert-data-model parallel mode without conveying the respective parameter values of the expert sub-models among the plurality of processing devices.

Abstract: The invention discloses a composite rare earth anisotropic bonded magnet and a preparation method thereof. The composite rare earth anisotropic bonded magnet comprises a Nd—Fe—B magnetic powder, a Sm—Fe—N magnetic powder, a binder and an inorganic nano-dispersant. The preparation method comprises steps of preparing a Nd—Fe—B magnetic powder by a HDDR method, preparing a Sm—Fe—N magnetic powder by a powder metallurgy method, mixing the Nd—Fe—B magnetic powder, the Sm—Fe—N magnetic powder, the binder and the inorganic nano-dispersant at a specific ratio to finally obtain the composite rare earth anisotropic bonded magnet. The invention, by adding an inorganic nano-dispersant, enables the full dispersion of the fine Sm—Fe—N powder during the mixing process of the binder, the Nd—Fe—B magnetic powder and the Sm—Fe—N powder, and thus makes the fine Sm—Fe—N powder and the binder evenly coated on the surface of the anisotropic Nd—Fe—B magnetic powder.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer. The processing devices are configured to execute the MoE layer at least in part by receiving an input tensor including input tokens. Executing the MoE layer further includes computing a gating function output vector based on the input tensor and computing a sparse encoding of the input tensor and the gating function output vector. The sparse encoding indicates one or more destination expert sub-models. Executing the MoE layer further includes dispatching the input tensor for processing at the one or more destination expert sub-models, and further includes computing an expert output tensor. Executing the MoE layer further includes computing an MoE layer output at least in part by computing a sparse decoding of the expert output tensor. Executing the MoE layer further includes conveying the MoE layer output to an additional computing process.

Abstract: Embodiments are provided for facilitating multimodal extraction across multiple granularities. In one implementation, a set of features of a document for a plurality of granularities of the document is obtained. Via a machine learning model, the set of features of the document are modified to generate a set of modified features using a set of self-attention values to determine relationships within a first type of feature and a set of cross-attention values to determine relationships between the first type of feature and a second type of feature. Thereafter, the set of modified features are provided to a second machine learning model to perform a classification task.

Abstract: An anisotropic bonded magnet and a preparation method thereof are provided. By stacking magnets having different magnetic properties and/or densities, the magnets in the middle have high properties and the magnets at two ends and/or the periphery have low properties, thereby compensating for a property deviation caused by a difference in pressing densities during a pressing process, and improving the property uniformity of the magnets in an axial direction. The method solves the problem of “low in the middle and high at two ends” caused by the phenomenon of non-uniform magnetic field orientation and density along a height direction during orientation and densification.