Abstract: A docking structure includes a first base and a second base connected to the first base; a first electrode group arranged in parallel and combined on an insulating block; and a second electrode group arranged in parallel with the first electrode group, wherein the second electrode group is used for bonding the first electrode group, the second electrode group is combined with the first base and has freedom in a first direction, moves in the first direction by a first elastic structure; the first base is combined with the second base and has freedom in a second direction different from the first direction. A second elastic structure is connected between the first and second bases. A first plane of the first electrode group and a second plane of the second electrode group are kept in parallel surface contact during docking the first and second electrode groups.

Abstract: A method of a first communication node may comprise: transmitting, to a second communication node, an initiation signal indicating to initiate a collection procedure of training data for a neural network; transmitting, to the second communication node, an information signal including network parameters of the first communication node; receiving, from the second communication node, the training data in response to the information signal; training the neural network using the training data; determining optimal network parameters using the trained neural network; and performing communication with the second communication node using the optimal network parameters.

Abstract: Proposed is an automatic spray apparatus including an airbrush and mask transfer mechanism, the apparatus including an airbrush for spraying liquid through a nozzle by using air supplied thereto, an airbrush transfer unit capable of adjusting a relative distance from the airbrush to a liquid spray target while supporting the airbrush, a mask having a hole formed in a shape in which the liquid is applied on a surface of the liquid spray target, and a mask transfer unit installed between the nozzle of the airbrush and the liquid spray target while supporting the mask, wherein the airbrush transfer unit includes a trigger actuator capable of operating a trigger that controls the spraying of the liquid contained in a part of the airbrush. The automatic spray apparatus can be implemented at a relatively low cost to be used when manufacturing an MEA having a small area.

Abstract: A method for treating wastewater containing fluorine is disclosed. The method for treating wastewater includes applying a vacuum to a membrane unit including a membrane having a hollow, injecting wastewater into the membrane unit so that the wastewater contacts an outer surface of the membrane, recovering hydrofluoric acid gas by evaporating hydrofluoric acid (HF) in the wastewater based on a vacuum applied to the inner surface of the membrane and moving the evaporated hydrofluoric acid (HF) to the inner surface through the membrane, injecting sweep gas into the membrane unit to discharge hydrofluoric acid gas remaining on the inner surface of the membrane, and forming a metal fluoride by reacting the recovered hydrofluoric acid gas with a metal oxide or metal hydroxide using a scrubbing process.

Abstract: A lithium battery includes a positive electrode plate, a negative electrode plate, an electrolyte disposed between the positive electrode plate and the negative electrode plate, a separator disposed in the electrolyte, and an organic-inorganic composite film disposed on the surface of the positive electrode plate, the surface of the negative electrode plate, the surface of the separator, or a combination thereof. The organic-inorganic composite film includes 100 parts by weight of clay, 3 to 35 parts by weight of lignocellulose, and 25 to 270 parts by weight of a first binder.

Abstract: A configuration method includes: the terminal device generating a second key on the basis of a first key, and performing encryption and/or integrity protection on a certificate request message on the basis of the second key; and sending a first request message, the first request message comprising the certificate request message encrypted and/or integrity-protected via the second key.

Abstract: Disclosed herein is a method for task planning for collaboration of artificial intelligence (AI) agents. The method includes generating a scene graph using an image acquired by an AI agent and a human instruction and generating a machine instruction set for objects in the scene graph, and the scene graph includes relevance information between each of the objects in the scene graph and the human instruction.

Abstract: Disclosed are a method and apparatus for connecting a terminal and a base station in a multi-hop network. A method of a terminal may comprise: receiving cell selection and reselection criteria information broadcast from a base station; determining candidate base stations among all base stations capable of communicating with the terminal based on the cell selection and reselection criteria information; selecting one connection scheme from a lightening backhaul load (LBL) scheme or a maximum reference signal received power (RSRP) scheme based on a tolerable gap, which is a parameter for determining the candidate base station; selecting one candidate base station from among the candidate base stations as a target base station based on the one connection scheme; and connecting to the target base station.

Abstract: This disclosure is directed to agonists of the apelin receptor (APJ) and uses of such agonists.

Abstract: Ionizable cationic lipid compounds have an amine moiety from amino alcohols and a lipid moiety from a lipid synthesized via esterification. The ionizable cationic lipid compounds which comprise an amino alcohol mediated ionizable cationic lipid compound are useful for in vivo or in vitro delivery of one or more nucleic acid agents including DNA, siRNA, a microRNA, an mRNA, a RNAi, and a plasmid.

Abstract: A voltage conversion device includes a filter circuit, a first inductor, a second inductor a first conversion module, a second conversion module, and a control circuit. The filter circuit is electrically connected to a first AC terminal and a second AC terminal. The first inductor is electrically connected to the first AC terminal and a first conversion terminal. The second inductor is electrically connected to the second AC terminal and a second conversion terminal. The first conversion module is electrically connected to a first DC voltage terminal, a second DC voltage terminal, and the first conversion terminal. The second conversion module is electrically connected to the first DC voltage terminal, the second DC voltage terminal, and the second conversion terminal. The control circuit transmits switch-control signals to the first conversion module and the second conversion module. A voltage conversion method is used with the voltage conversion device.

Abstract: A judging method for a module peeling time of a soft electronic fabric module is provided. The method includes: preselecting a plurality of module material combinations, the plurality of module material combinations respectively comprising a substrate material, a wire material and a packaging material; extracting the plurality of module material combinations to generate a plurality of module material combination parameters; generating a plurality of machine learning training data based on the plurality of module material combination parameters and a plurality of module pre-processing conditions; and training a machine learning model according to the plurality of machine learning training data to provide an optimized prediction model for judging a module peeling time.

Abstract: A negative electrode and a battery employing the same are provided. The negative electrode includes a negative electrode active layer and a protective layer. The protective layer is disposed on the negative electrode active layer, wherein the protective layer includes a nanopowder and a binder. The nanopowder has a specific surface area of 30 m2/g to 1,000 m2/g. The nanopowder has a binding energy less than or equal to ?2.5 eV. The weight ratio of the nanopowder to the binder is from 51:49 to 99:1. The nanopowder is a compound having a structure represented by Formula (I) MiXj??Formula (I) wherein M is Al, Mg, Zr, Zn, or Si, and X is O or N; i is 1, 2 or 3, and j is 1, 2, 3 or 4.

Abstract: The present invention provides a hypersonic large internal contraction ratio air inlet channel having stepless adjustable air release valve, including an air inlet channel front body, an air-discharging slit cover plate, sidewalls, a lip cover, air-discharging cavities, valve plates, partition plates, a rotatable shaft, an expansion section and a driver. The valve plates are rotated through the driver according to the actual working conditions of air inlet channel, the minimum cross-section of the air discharging flow path is thus changed, and a stepless dynamic adjustment of the air discharging flow of the air inlet channel can be realized, so that the aerodynamic performance of the air inlet channel is improved, and the air discharging resistance of the air vehicle is reduced.

Abstract: The present invention relates to the fields of heat storage and thermally conductive materials, and discloses a highly thermally conductive heat storage material, a preparation method therefor, and the application thereof, and a composition for preparing a highly thermally conductive heat storage material and the application thereof. The highly thermally conductive heat storage material comprises 11-41 wt % of a carbonaceous part and 59-89 wt % of a graphitic part; for the carbonaceous part, Lc>18 nm, La>35 nm, d002<0.3388 nm, and the degree of graphitization is 60% to 95%; for the graphitic part, Lc>50 nm; La>80 nm; d002<0.3358 nm, and the degree of graphitization is 95% to 100%. The highly thermally conductive heat storage material comprises a carbonaceous part with a specific structure and a graphitic part with a specific structure, and the heat storage material obtained thereby possesses high thermal conductivity and high compressive strength.

Abstract: In some embodiments of the invention, inventive compounds (e.g., Formula (I), (IA), (II), and (III), and urolithin derivatives) are disclosed. Other embodiments include compositions (e.g., pharmaceutical compositions) comprising the inventive compound. Still other embodiments of the invention include compositions (e.g., pharmaceutical compositions) for treating, for example, certain diseases using the inventive compounds. Some embodiments include methods of using the inventive compound (e.g., in compositions or in pharmaceutical compositions) for administering and treating (e.g., diseases). Further embodiments include methods for making the inventive compounds. Additional embodiments of the invention are also discussed herein.

Abstract: The present disclosure provides a method for optimizing mask parameters, and the method includes: acquiring a test pattern, light source parameters, and initial mask parameters, the initial mask parameters including a mask thickness and an initial mask sidewall angle; generating multiple sets of candidate mask parameters according to the initial mask sidewall angle in the initial mask parameters; the multiple sets of candidate mask parameters including different mask sidewall angles and the same mask thickness; obtaining an imaging contrast of each set of candidate mask parameters based on the test pattern and the light source parameters; and selecting an optimal mask sidewall angle from the multiple sets of candidate mask parameters according to the imaging contrasts.

Abstract: Disclosed herein is a method for distributed training of an AI model in a channel-sharing network environment. The method includes determining whether data parallel processing is applied, calculating a computation time and a communication time when input data is evenly distributed across multiple computation devices, and unevenly distributing the input data across the multiple computation devices based on the computation time and the communication time.

Abstract: A method for verifying reliability of an artificial intelligence (AI) model includes receiving an AI model request; creating a verification twin for evaluating the reliability of the AI model; and verifying the reliability of the AI model based on information collected while the AI model is executed on the digital twin network.

Abstract: A method of recognizing an object based on mask updates is provided. The method includes generating first result information in which a foreground and background of a predetermined input image have been separated from each other, generating second result information in which the results of the object recognition within the input image and a boundary portion of the object have been matched, calculating an objective function to be applied to each mask head based on the first and second result information and parameter information for the first and second result information, updating all of the mask heads based on the objective function, and performing object recognition based on the updated mask.