Abstract: A main and auxiliary alloy-based neodymium-iron-boron magnet material and the preparation method thereof. The raw material composition for the main and auxiliary alloy-based neodymium-iron-boron magnet material includes a main alloy raw material and an auxiliary alloy raw material, wherein the mass percentage of the auxiliary alloy raw material in the raw material composition for the main and auxiliary alloy-based neodymium-iron-boron magnet material is 1.0-15.0 mass %. For the main and auxiliary alloy-based neodymium-iron-boron magnet material prepared by using the raw material composition, the coercivity is increased while high remanence is ensured, and the preparation method therefor can be suitable for engineering applications.

Abstract: Provided are a battery, an electrical apparatus, and a method and an apparatus for making a battery. The battery comprises: a battery cell; a first component, wherein a first surface of the first component is connected to at least one of the battery cells through an adhesion member, the adhesion member comprises a first adhesion structure and a second adhesion structure, the first adhesion structure is located at the periphery of the second adhesion structure, and the first adhesion structure has an elongation at break greater than that of the second adhesion structure. The battery, the electrical apparatus, and the method and the apparatus for making the battery according to the embodiments of the present application can enhance the safety of the battery.

Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.

Abstract: A method for preparing anisotropic cellulose-based hydrogel is provided. The method comprises ammoniating the dialdehyde cellulose obtained by oxidizing cellulose using sodium periodate to obtain ammoniated cellulose derivatives; performing Schiff reaction using the ammoniated cellulose derivatives and dopamine to obtain cellulose-based nanosheets; depositing Fe3O4 nanoparticles on a surface of the cellulose-based nanosheets by a deposition method to obtain magnetic cellulose-based nanosheets; and forming the anisotropic cellulose-based hydrogel using the magnetic cellulose-based nanosheets by a polymerization method.

Abstract: A method for audio packet loss compensation processing includes: acquiring time domain signals of a first number of existing audio frames in a case that an audio packet loss occurs; carrying out acoustic feature extraction on the time domain signals of the first number of the existing audio frames to generate acoustic features of the existing audio frames; carrying out semantic feature extraction on the time domain signals of the first number of the existing audio frames, and carrying out semantic understanding based on the extracted semantic features to generate semantic expressions corresponding to the existing audio frames; and predicting a time domain signal of a current audio frame according to the acoustic features and the semantic expressions, for audio packet loss compensation.

Abstract: Systems and techniques for determining an idle timeout for a cloud computing session are described. An example technique includes determining a first one or more attributes associated with a user of the cloud computing session and determining a second one or more attributes associated with an operation of the cloud computing session. An idle timeout for the cloud computing session is determined, based at least in part on the first one or more attributes and the second one or more attributes. User activity is monitored during the cloud computing session. Upon determining, based on the monitoring, an absence of the activity of the user within a duration of the idle timeout, the cloud computing session is terminated.

Abstract: Bimetal oxide catalyst and methods, a method comprises: mixing and grinding to obtain a mixture comprising a manganese salt (a), at least one of other metal salt (b), and an additive (c), wherein the other metal salt comprises at least one of a copper salt, a cobalt salt, a cerium salt, an iron salt, or a nickel salt, and the additive comprises at least one of polyol or organic acid, and calcining the mixture to obtain the bimetal oxide catalyst.

Abstract: Systems and techniques for determining an idle timeout for a cloud computing session are described. An example technique includes determining a first one or more attributes associated with a user of the cloud computing session and determining a second one or more attributes associated with an operation of the cloud computing session. An idle timeout for the cloud computing session is determined, based at least in part on the first one or more attributes and the second one or more attributes. User activity is monitored during the cloud computing session. Upon determining, based on the monitoring, an absence of the activity of the user within a duration of the idle timeout, the cloud computing session is terminated.

Abstract: Identifying node importance in a machine learning pipeline is provided. Changes in accuracy of the machine learning pipeline are recorded for each respective node setting change in a randomly generated group of node settings inputted into each corresponding node included in the machine learning pipeline. A regression model is generated to determine a relationship between each respective node setting change in the randomly generated group of node settings inputted into each corresponding node and the changes in the accuracy of the machine learning pipeline. A node of importance is identified in the machine learning pipeline using the regression model based on the relationship between each respective node setting change in the randomly generated group of node settings inputted into each corresponding node and the changes in the accuracy of the machine learning pipeline.

Abstract: An approach is provided in which the approach loads a machine learning model and a set of test case statistical data into a user system. The set of test case statistical data is based on a set of test cases corresponding to the machine learning model and includes a plurality of input parameter sets and a corresponding set of output quality measurements. The approach compares user data on the user system against the set of test case statistical data and identifies one of the plurality of input parameter sets to optimize the machine learning model based on the set of output quality measurements. The approach generates an optimized machine learning model using the machine learning model and the identified input parameter set at the user system.

Abstract: Embodiments of this application provide an article display processing method and apparatus and an electronic device. An exemplary method includes: displaying a plurality of articles on a webpage, each of the plurality of articles being associated with an user interface; receiving a user selection of the user interface associated with a selected article from a first user; obtaining an environment template corresponding to the selected article, wherein the environment template is a digitally-generated simulated environment and stored in a database; generating a display image comprising the environment template fused with the selected article as a main view angle according to feature data of the selected article; and sending the display image to a client device of the first user for display.

Abstract: A coater machine, a coater system and a cleaning method of the coater machine are provided. The coater machine includes: a coating platform including a working surface; and a first cleaner device configured to move relative to the working surface to remove a foreign matter on the working surface.

Abstract: Bimetal oxide catalyst and methods, a method comprises: mixing and grinding to obtain a mixture comprising a manganese salt (a), at least one of other metal salt (b), and an additive (c), wherein the other metal salt comprises at least one of a copper salt, a cobalt salt, a cerium salt, an iron salt, or a nickel salt, and the additive comprises at least one of polyol or organic acid, and calcining the mixture to obtain the bimetal oxide catalyst.

Abstract: Embodiments of the present disclosure relate to screenshot-based memos. In an embodiment, a computer-implemented method is disclosed. The method comprises a monitoring displaying screen on a computing device for determining whether the displaying screen reaches a preset trigger condition. The method further comprises capturing a snapshot of the displaying screen in response to the displaying screen reaching the preset trigger condition. The method further comprises matching one or more screenshots comprised in one or more screenshot-based memos and the captured snapshot for obtaining a similarity degree. The method further comprises deploying the one or more screenshot-based memos on the displaying screen in response to the similarity degree meeting a preset similarity threshold. In other embodiments, a system and a computer program product are disclosed.

Abstract: A coater machine, a coater system and a cleaning method of the coater machine are provided. The coater machine includes: a coating platform including a working surface; and a first cleaner device configured to move relative to the working surface to remove a foreign matter on the working surface.

Abstract: The present disclosure discloses a method for preparing dual-sensitive cellulose-based aerogel. The DAC (Dialdehyde cellulose), the DAC/PDMAEMA (poly-2-(dimethylamino)ethyl methacrylate) copolymer, the DAC/PDMAEMA/PEI (Polyethylenimine) copolymer are serially prepared, was freeze-dried to obtain a product. The product is the dual-sensitive cellulose-based aerogel, a cumulative adsorption capacity of the dual-sensitive cellulose-based aerogel is 250 mg/g, and a cumulative release amount of the dual-sensitive cellulose-based aerogel in 0.05 mol/L NaH2PO4 (pH=3-8), 0.2% NaCl (pH<3), or NaOH (pH>8) is 63-90%.

Abstract: A touch substrate, a method for manufacturing the same and a touch control device are provided. The touch substrate includes a touch region, and a wiring region arranged adjacent to the touch region and covered with a protection structure. The protection structure includes at least two organic layers and at least two inorganic layers arranged alternately one on another.

Abstract: According to one or more embodiments of the present invention, a computer-implemented method for shortening just-in-time compilation time includes creating a first container for executing a first computer program, the execution comprising generating, using a just-in-time compiler, a compiled code for a first code-portion of the first computer program. The method further includes storing the compiled code for the first code-portion in a code-share store. The method further includes creating a second container for executing a second computer program comprising a second code-portion. The method further includes determining that the second code-portion matches the first code-portion, and in response retrieving the compiled code from the code-share store for executing the second computer program.

Abstract: A touch substrate, a method for manufacturing the same and a touch control device are provided. The touch substrate includes a touch region, and a wiring region arranged adjacent to the touch region and covered with a protection structure. The protection structure includes at least two organic layers and at least two inorganic layers arranged alternately one on another.

Abstract: A method and apparatus for adjusting an exposure gap in the manufacture of display panels. The method includes: setting a detection range of a detector based on a thickness of a substrate, wherein a position of a waveform corresponding to the thickness of the substrate is outside the detection range; in case a position of a waveform corresponding to a target exposure gap is outside the detection range, setting an intermediary exposure gap within the detection range; adjusting the exposure gap during detecting the exposure gap by the detector until the exposure gap is equal to the intermediary exposure gap, wherein the exposure gap is a distance between the substrate and a mask plate; and adjusting the exposure gap to the target exposure gap based on a difference between the target exposure gap and the intermediary exposure gap.