Abstract: Provided a separator, a preparation method thereof, and a secondary battery, a battery module, a battery pack, and an electric apparatus containing such separator. The separator includes: a substrate and a coating applied on at least one surface of the substrate, where the coating includes 40 wt % to 90 wt % first organic particles, 2 wt % to 15 wt % pressure-sensitive binder, and optionally 0 wt % to 50 wt % second organic particles. The first organic particles include an organic polymer and an inorganic substance. The pressure-sensitive binder includes an organic polymer and a plasticizer. The separator has good ionic conductivity and adhesion performance at room temperature, is not adhered under a pressure of 1 MPa or below and is significantly adhered under a pressure of 2 MPa or above, which can significantly improve structural stability and ionic conductivity of an electrochemical device while satisfying requirements for yield rate of production and kinetic performance of a battery cell.

Abstract: Disclosed is a carbon-dioxide-responsive self-thickening intelligent fluid based on supramolecular self-assembly, which comprises a Gemini surfactant, a single-chain amide molecule having a tertiary amine head group and water, wherein the Gemini surfactant and the single-chain amide molecule are self-assembled to form a vesicle structure dispersed in water, with a hydrophilic head group being located outside and a hydrophobic tail group located inside. The method for preparing the carbon-dioxide-responsive self-thickening intelligent fluid of the present invention is simple, the injection viscosity is low, and the fluid is converted into a gel when encountering carbon dioxide, so that the viscosity is greatly increased.

Abstract: The present invention discloses a high-entropy soft magnetic alloy with 900 K high-temperature resistance, comprising Fe, Co, Ni, Si and Al, and the atomic percent of the alloy composition is expressed as FexCoyNizSimAln, wherein x=40%-80%, y=20%-60%, z=0-30%, m=0-20%, n=0-20%, and x+y+z+m+n=100%; the atomic percent of other doping elements is p=0-5%, and 0.5?m/n?3; the performance indexes of the material include: at room temperature, saturation magnetization Ms=90-150 emu/g, and coercive force Hc=0.1-15 Oe; and at 900 K, saturation magnetization Ms=70-130 emu/g, and coercive force Hc=0.1-25 Oe.

Abstract: Provided is a preparation method for a tube. The method comprises the following steps: a) adding a polymer solution into a poor solvent, such that the polymer diffuses on the liquid level of the poor solvent, so as to obtain a polymer film, wherein the solvent in the polymer solution is dissolved in the poor solvent; b) curling the polymer film on the liquid level of the poor solvent by using a mold to obtain a bar; and c) removing the mold to obtain a tube. The present invention further provides the use of the above tubular as an artificial tubular tissue.

Abstract: A method for providing a restricted service and a communications device, where the method includes: receiving, by a policy control function (PCF), an identifier of a terminal and indication information, where the indication information is used to indicate that the terminal is in a state of exception or indicate an exception type of the terminal; and sending, by the PCF, the identifier of the terminal and a first restricted service policy according to the indication information, where the first restricted service policy is used to provide a restricted service for the terminal.

Abstract: The present disclosure provides a foam bead. The foam bead contains at least one of the following components: (A) a block composite; and/or (B) a crystalline block composite. The present disclosure also provides a sintered foam structure formed from a composition comprising at least one of the following components: (A) a block composite; and/or (B) a crystalline block composite.

Abstract: A test method and device for a contact resistor are provided, configured to test a contact resistor of a metal-oxide-semiconductor (MOS) transistor. The method includes: a resistance value per area and a temperature coefficient of resistance of the contact resistor are acquired; and a target resistance value of the contact resistor is determined according to the resistance value per area, the temperature coefficient of resistance, and an area of the contact resistor.

Abstract: A parking assisting method, device and system for a motor vehicle are provided. The parking assisting method includes the following steps: obtaining a relative position of an available parking spot relative to the motor vehicle; outputting a display instruction to the digital projector according to the relative position of the available parking spot relative to the motor vehicle; and projecting a projection image to the available parking spot by the digital projector according to the display instruction. The projection image is provided for indicating the available parking spot area will be occupied. The display instruction includes an image position for the projection image, so as to change the position of the projection image in the projection range, so that the position of the projection image in the available parking spot is substantially kept unchanged.

Abstract: Provided are a brain stimulation system, method, apparatus and storage medium based on artificial intelligence. The system includes: a plurality of brain stimulation terminals and a cloud platform. The cloud platform is configured to, with artificial intelligence algorithm especially machine learning and deep learning, generate multi-dimensional psychological big data using physiological data and psychological state evaluation parameters gotten from the plurality of brain stimulation terminals and established models of algorithm for disease diagnosis.

Abstract: A parking assisting method, device and system for a motor vehicle are provided. The parking assisting method includes the following steps: obtaining a relative position of an available parking spot relative to the motor vehicle; outputting a display instruction to the digital projector according to the relative position of the available parking spot relative to the motor vehicle; and projecting a projection image to the available parking spot by the digital projector according to the display instruction. The projection image is provided for indicating the available parking spot area will be occupied. The display instruction includes an image position for the projection image, so as to change the position of the projection image in the projection range, so that the position of the projection image in the available parking spot is substantially kept unchanged.

Abstract: Disclosed is a carbon-dioxide-responsive self-thickening intelligent fluid based on supramolecular self-assembly, which comprises a Gemini surfactant, a single-chain amide molecule having a tertiary amine head group and water, wherein the Gemini surfactant and the single-chain amide molecule are self-assembled to form a vesicle structure dispersed in water, with a hydrophilic head group being located outside and a hydrophobic tail group located inside. The method for preparing the carbon-dioxide-responsive self-thickening intelligent fluid of the present invention is simple, the injection viscosity is low, and the fluid is converted into a gel when encountering carbon dioxide, so that the viscosity is greatly increased.

Abstract: A test method and device for a contact resistor are provided, configured to test a contact resistor of a metal-oxide-semiconductor (MOS) transistor. The method includes: a resistance value per area and a temperature coefficient of resistance of the contact resistor are acquired; and a target resistance value of the contact resistor is determined according to the resistance value per area, the temperature coefficient of resistance, and an area of the contact resistor.

Abstract: Provided are a brain stimulation system, method, apparatus and storage medium based on artificial intelligence. The system includes: a plurality of brain stimulation terminals and a cloud platform. The cloud platform is configured to, with artificial intelligence algorithm especially machine learning and deep learning, generate multi-dimensional psychological big data using physiological data and psychological state evaluation parameters gotten from the plurality of brain stimulation terminals and established models of algorithm for disease diagnosis.