Abstract: A Belief Propagation (BP) equalization method and apparatus, a communication device and a storage medium are disclosed. The method may include: splitting a received signal Yc, a channel estimation Hc and a symbol estimation Xc into real parts and imaginary parts to obtain a received signal matrix Y, a channel estimation matrix H and a symbol estimation matrix X (S101); performing orthogonal triangular (QR) decomposition on the channel estimation matrix H to obtain an equivalent received signal Ybp, an equivalent channel R and a noise power ?2 (S102); and performing iteration based on the equivalent received signal Ybp, the equivalent channel R and the noise power ?2 to obtain a position probability of per stream symbol (S103).

Abstract: The present disclosure relates to mode switching methods, data flow splitting methods, and apparatus. One example mode switching method includes generating, by a first device, first indication information, where a packet data control protocol (PDCP) entity in the first device is connected to at least two radio link control (RLC) entities in a second device, and sending, by the first device, the first indication information to the second device, where the first indication information is used to indicate that transmission between a first RLC entity in the at least two RLC entities and the PDCP entity in the first device is to be canceled. The second device stops the transmission between the first RLC entity and the PDCP entity based on the first indication information.

Abstract: The invention relates to a method for preparing an anti-counterfeiting modal fiber, including: mixing a pulp stock solution with a cellulose catalyst, alkalizing, aging, sulfonating, and then dissolving the pulp stock solution in an alkaline solution to obtain a treatment solution; mixing the treatment solution with multiple amino acid-metal chelates, filtering, defoaming and ripening to obtain a spinning stock solution; and mixing the spinning stock solution with a spinning bath additive, and wet spinning, followed by drafting, defoaming, desulfurizing, water washing, and other post-treatments, to obtain an anti-counterfeiting modal fiber, wherein the amino acid metal-chelates account for 0.5%-1.5% by weight of the spinning stock solution. Amino acid-metal chelates are used to anti-counterfeit and encrypt the modal fibers, and the anti-counterfeiting and encrypting is involved in the spinning stock solution of modal fibers.

Abstract: A battery electrode includes a first metal foil, a second metal foil, and a thermoplastic polymer layer between the first metal foil and the second metal foil. The battery electrode also includes a first coating adjacent to the first metal foil such that the first metal foil is between the thermoplastic polymer layer and the first coating. The battery electrode also includes a second coating adjacent to the second metal foil such that the second metal foil is between the thermoplastic polymer layer and the second coating.

Abstract: This application provides a minimization of drive tests (MDT) measurement solution, which may be used to implement an MDT measurement of a network device with an architecture in which a central unit (CU) entity and a distributed unit (DU) entity are separated. A centralized unit control plane (CU-CP) determines configuration information, and sends the configuration information to a centralized unit user plane (CU-UP) of the network device. The configuration information is used to perform an MDT measurement on a measurement object. The solution in this application may be applied to a communications system, for example, may be applied to a 5th generation (5G) network.

Abstract: A vapor chamber with structure for enhancing two-phase flow boiling includes a main body formed of a first and a second plate member, which are correspondingly closed to each other to define an airtight chamber between them. The airtight chamber has a condensing side and an evaporating side and has a working fluid filled therein. The evaporating side is formed on its surface with a plurality of projected sections and a plurality of recessed sections and has a wick structure provided thereon. The projected sections extend through and project beyond the wick structure, and the recessed sections are located below the wick structure without being filled by the wick structure to thereby form spaces for receiving the working fluid. The provision of the projected and the recessed sections enables the vapor chamber to provide largely enhanced two-phase flow boiling effect in the airtight chamber.

Abstract: A metal material having thermodynamic anisotropy has an X-axis hardness of 160-180 HV, an X-axis hardness thermal expansion coefficient of 5×10?6-100×10?6 K?1; a Y-axis hardness of 160-180 HV, a Y-axis hardness thermal expansion coefficient of 5×10?6-100×10?6 K?1; and a Z-axis hardness of 180-250 HV, a Z-axis hardness thermal expansion coefficient of 50×10?6-1000×10?6 K?1. A method for preparing a metal material having thermodynamic anisotropy is also disclosed.

Abstract: A method and system for training a text-to-content recommendation ML model includes training a first ML model using a first training data set, utilizing the trained first ML model to infer information about the data contained in the first training data set, collecting the inferred information to generate a second training data set, and utilizing the first training data set and the second training data set to train a second ML model. The second ML model may be a text-to-content recommendation ML model.

Abstract: An anode active material layer for a lithium battery, the layer comprising multiple anode active material particles and a conductive additive that are protected by (embedded in and bonded by) a matrix resin comprising an ion-conducting elastomer or rubber having a recoverable tensile strain from 5% to 700% when measured without an additive or reinforcement in the polymer and a lithium ion conductivity no less than 10?6 S/cm at room temperature. The amount of conductive additive is preferably sufficient to form a 3D network of electron-conducing pathways that are in electrical contact with the anode material particles. Such an elastomeric or rubbery matrix also acts to maintain the structural integrity of the anode electrode, preventing interruption of the electron- and lithium ion-conducting pathways when the anode active material particles repeatedly expand and shrink in volume during battery cycling.

Abstract: A data processing system implements obtaining first textual content in a first language from a first client device; determining that the first language is supported by a first machine learning model; obtaining a guard list of prohibited terms associated with the first language; determining that the textual content does not include one or more prohibited terms associated based on the guard list; providing the first textual content as an input to the first machine learning model responsive to the textual content not including the one or more prohibited terms; analyzing the first textual content with the first machine learning model to obtain a first content recommendation; obtaining a first content recommendation policy that identifies content associated with the first language that may not be provided as a content recommendation; determining that the first content recommendation is not prohibited; and providing the first content recommendation to the first client device.

Abstract: A vapor chamber with structure for enhancing two-phase flow boiling includes a main body formed of a first and a second plate member, which are correspondingly closed to each other to define an airtight chamber between them. The airtight chamber has a condensing side and an evaporating side and has a working fluid filled therein. The evaporating side is formed on its surface with a plurality of projected sections and a plurality of recessed sections and has a wick structure provided thereon. The projected sections extend through and project beyond the wick structure, and the recessed sections are located below the wick structure without being filled by the wick structure to thereby form spaces for receiving the working fluid. The provision of the projected and the recessed sections enables the vapor chamber to provide largely enhanced two-phase flow boiling effect in the airtight chamber.

Abstract: A method and system for providing an application-specific embedding for an entire text-to-content suggestions service is disclosed. The method includes accessing a dataset containing unlabeled training data collected from an application, the unlabeled training data being collected under user privacy constraints, applying an unsupervised ML model to the dataset to generate a pretrained embedding; and utilizing the pretrained embedding to train the text-to-content suggestion ML model utilized by the application.

Abstract: Method and system for training a text-to-content suggestion ML model include accessing a dataset containing unlabeled training data collected from an application, the unlabeled training data being collected under user privacy constraints, applying an ML model to the dataset to generate a pretrained embedding, and applying a supervised ML model to a labeled dataset to train the text-to-content suggestion ML model utilized by the application by utilizing the pretrained embedding generated by the supervised ML model.

Abstract: A metal material having thermodynamic anisotropy has an X-axis hardness of 160-180 HV, an X-axis hardness thermal expansion coefficient of 5×10-6-100×10-6 K?1; a Y-axis hardness of 160-180 HV, a Y-axis hardness thermal expansion coefficient of 5×10-6-100×10-6 K?1; and a Z-axis hardness of 180-250 HV, a Z-axis hardness thermal expansion coefficient of 50×10-6-1000×10-6 K?1. A method for preparing a metal material having thermodynamic anisotropy is also disclosed.

Abstract: A method of electroplating a stress-free copper film on a substrate includes: providing the substrate; providing an electroplating bath that includes a copper salt, an acid, a leveler, a chlorine compound, an accelerator, a suppressor; and water; heating the electroplating bath to 25 to 60° C.; and electroplating the substrate in the electroplating bath to form the stress-free copper film while maintaining the electroplating bath at 25 to 60° C. The leveler is an organic compound containing an amine group. The method further includes annealing the stress-free copper film at 60-260° C. for 0.5 to 2 hours, or at 60-120° C. for 0.5 to 2 hours. A stress-free electroplated copper film is also disclosed.

Abstract: A metal material having thermodynamic anisotropy has an X-axis hardness of 160-180 HV, an X-axis hardness thermal expansion coefficient of 5×10-6-100×10-6 K?1; a Y-axis hardness of 160-180 HV, a Y-axis hardness thermal expansion coefficient of 5×10-6-100×10-6 K?1; and a Z-axis hardness of 180-250 HV, a Z-axis hardness thermal expansion coefficient of 50×10-6-1000×10-6 K?1. A method for preparing a metal material having thermodynamic anisotropy is also disclosed.

Abstract: Method and system for training a text-to-content suggestion ML model include accessing a dataset containing unlabeled training data collected from an application, the unlabeled training data being collected under user privacy constraints, applying an ML model to the dataset to generate a pretrained embedding, and applying a supervised ML model to a labeled dataset to train the text-to-content suggestion ML model utilized by the application by utilizing the pretrained embedding generated by the supervised ML model.

Abstract: A method and system for providing an application-specific embedding for an entire text-to-content suggestions service is disclosed. The method includes accessing a dataset containing unlabeled training data collected from an application, the unlabeled training data being collected under user privacy constraints, applying an unsupervised ML model to the dataset to generate a pretrained embedding; and utilizing the pretrained embedding to train the text-to-content suggestion ML model utilized by the application.

Abstract: A method and system for training a text-to-content recommendation ML model includes training a first ML model using a first training data set, utilizing the trained first ML model to infer information about the data contained in the first training data set, collecting the inferred information to generate a second training data set, and utilizing the first training data set and the second training data set to train a second ML model. The second ML model may be a text-to-content recommendation ML model.