Abstract: An anti-oxidation dipping treatment method for a graphite sealing element for a thermal power generation unit, and an anti-oxidation production line. The anti-oxidation dipping treatment method for a graphite sealing element for a thermal power generation unit comprises the following steps: S1, placing a graphite sheet into a soaking device for soaking; S2, conveying the soaked graphite sheet into a drying and curing device for drying and curing; S3, stacking the multiple dried and cured graphite sheets together, and subjecting same to compression molding to form a layered graphite body; and S4, stamping the layered graphite body to form a finished graphite sealing element with a desired appearance.

Abstract: This application relates to the technical field of coal-fired boilers, and provides a method and an apparatus for improving steam oxidation resistance of a small-diameter boiler tube in a coal-fired boiler. The method includes the following steps: cutting a boiler tube panel from a ceiling of the boiler, vertically hoisting and fixing the boiler tube panel, and cutting out a section from a bottom portion of a lower bend of the boiler tube panel; cleaning an inner tube wall of each tube body in the boiler tube panel; performing oxidation resistance coating sintering on the inner tube wall of each tube body in the boiler tube panel; and performing a welding repair on each tube body in a sintered boiler tube panel. All construction processes of this method can be completed in a furnace during shutdown and maintenance, production efficiency is high, and maintenance duration can be significantly reduced.

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 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: According to implementations of the subject matter described herein, there is provided a solution for generating a summary of a document. In this solution, feature information of pages comprised in a document is extracted, which characterizes at least one type of content contained in each page. Respective importance of the pages is determined at least based on the extracted feature information. A summary of the document is generated for the document by selecting a predetermined number of pages less than the number of the pages based on the respective importance. Through the solution, instead of providing all the pages, pages containing important content may be determined automatically to serve as the summary of the document. This summary allows the user to learn quickly main content of the document, shorten the time consumed in browsing all documents and/or facilitate location of a document of interest as soon as possible.

Abstract: A sequence-to-sequence summarizer receives source content to be summarized and determines whether the source content has a size that meets the size threshold. If so, the source content is divided into sections and the sequence-to-sequence summarizer generates a summary for each section. The summaries for each section are merged into a document summary and surfaced for user interaction.

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: 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: 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.