Abstract: A power supply module includes a capacitor module, a signal acquisition module, a module controller and a communication module. The capacitor module includes a supercapacitor, a charging circuit and a discharging circuit, where the charging circuit is configured to charge the supercapacitor, and the discharging circuit is configured to discharge a magnet in a magnetic confinement fusion apparatus via a bus. The signal acquisition module is configured to acquire a state signal of the capacitor module. The module controller is configured to control a charging-discharging state of the capacitor module and monitor the capacitor module based on the state signal. The communication module is configured to communicate with a module controller in another power supply module or a main controller in a power supply system. The power supply system is formed by multiple power supply modules and is configured to supply power to the magnet.

Abstract: Provided are a water and acid adsorbing battery separator and a preparation method therefor, a water and acid adsorbing electrode plate, and a battery. A metal organic framework material is used and scrape-coated on a battery separator to prepare a composite separator, which can efficiently adsorb impurities such as water/acid from a battery, as a water and acid adsorbing battery separator. In one aspect, the water and acid adsorbing battery separator can effectively improve the cycling stability of a battery by adsorbing impurities such as water and an acid from the battery. In another aspect, the water and acid adsorbing battery separator can reduce control conditions of water during a battery assembly process, thereby effectively reducing the cost.

Abstract: A transduction unit of a non-contact human sleep physiological parameter detection sensor includes a circuit board, a piezoelectric film and conductive adhesives, wherein the piezoelectric film includes a film sheet and two electrodes, which are respectively arranged on two side faces of the film sheet; the piezoelectric film is attached to the circuit board; and the two electrodes of the piezoelectric film are respectively electrically connected to two exposed pad electrodes on the circuit board by means of the conductive adhesives.

Abstract: A trace detection device including: an ion mobility tube; a sampling gas path module; a sample injection gas path module configured to introduce a sample carrier gas containing a sample collected by the sampling gas path module toward the ion mobility tube; and a gas chromatography apparatus capable of pre-separating the sample carrier gas, so as to form a pre-separated sample carrier gas; wherein the sample injection gas path module is further configured to be capable of switching between a first mode and a second mode, in the first mode, the sample injection gas path module introduces the sample carrier gas into the ion mobility tube; and in the second mode, the sample injection gas path module introduces the sample carrier gas into the gas chromatography apparatus to pre-separate the sample carrier gas, and the pre-separated sample carrier gas is introduced into the ion mobility tube.

Abstract: An optical artificial neural network intelligent chip, a preparation method thereof and an intelligent processing apparatus. The optical filter layer serves as the input layer of the artificial neural network. The image sensor serves as the linear layer of the artificial neural network. The filtering effect of the optical filter layer on the incident light entering the optical filter layer serves as the connection weight from the input layer to the linear layer, such that the related functions of the input layer and the linear layer in the artificial neural network are achieved by the optical filter layer and the image sensor in the intelligent chip in a hardware manner, and no complicated signal processing and algorithm processing corresponding to the input layer and the linear layer need to be performed in the subsequent artificial neural network intelligent processing using the intelligent chip.

Abstract: The present disclosure provides an electromagnetic imaging device for an active microwave and millimeter wave security inspection apparatus, including: a two-dimensional multiple-input multiple-output array panel including at least one sub-array, wherein each sub-array includes a plurality of transmitting antennas arranged linearly and a plurality of receiving antennas arranged linearly, the plurality of transmitting antennas arranged linearly being intersected with the plurality of receiving antennas arranged linearly; a signal processing device; a display device; and a ranging radar. In each sub-array, a midpoint of a connection line between each transmitting antenna and a corresponding receiving antenna serves as a virtual equivalent phase center of a pair of the each transmitting antenna and the corresponding receiving antenna, and the plurality of transmitting antennas and the plurality of receiving antennas are arranged to generate an equivalent phase center web.

Abstract: A tunneling transistor includes a gate, an insulating layer placed on the gate, a carbon nanotube being semiconducting, a film-like structure, a source electrode, and a drain electrode. The carbon nanotube is placed on a surface of the insulating layer away from the gate. The film-like structure covers a portion of the carbon nanotube, and the film-like structure is a molybdenum disulfide film or a tungsten disulfide film. The source electrode is electrically connected to the film-like structure. The drain electrode is electrically connected to the carbon nanotube.

Abstract: Disclosed is a heterodyne grating interferometry system based on secondary diffraction, including a single-frequency laser, an input optical fiber, an acousto-optic modulator, a reading head, and a measurement grating, an output optical fiber, a photoelectric conversion unit and an electronic signal processing unit, wherein the single-frequency laser emits a single-frequency laser, which enters the acousto-optic modulator through the input optical fiber, and is divided into a reference light and measurement light to be input to the reading head, wherein the reading head and the measurement grating convert the reference light and measurement light into a reference interference optical signal and a measurement interference optical signal and send them to the photoelectric conversion unit through the output optical fiber and wherein the photoelectric conversion unit converts the measurement interference optical signal and the reference interference optical signal into a measurement interference electrical signal

Abstract: An infrared stealth cloth includes a cloth substrate and an infrared light absorber located on the cloth substrate. The infrared light absorber includes a plurality of carbon nanotubes entangled with each other to form a network structure and a plurality of carbon particles in the network structure.

Abstract: A method of making a carbon nanotube composite hydrogen evolution catalytic film is provided. The method includes: providing a carbon nanotube film, wherein the carbon nanotube film defines a plurality of spaced holes; providing a precursor solution containing a molybdenum source and a carbon source, and placing the precursor solution on the carbon nanotube film and drying to obtain a precursor film; and energizing the precursor film.

Abstract: Embodiments of the present application provide a detection method. The detection method includes: acquiring information of at least two first positions through which a particle passes before penetrating an object under detection, and information of at least two second positions through which the particle passes after penetrating the object under detection, wherein the object under detection is a metal product; reconstructing, based on the information of the at least two first positions, a first track before the particle penetrates the object under detection; reconstructing, based on the information of the at least two second positions, a second track after the particle penetrates the object under detection; processing the first track and the second track to obtain feature information of the object under detection; and determining, according to the feature information and preset feature information of an object of a target type, a detection result of the object under detection.

Abstract: The present invention provides a degradable microbead comprising a polymer molecule crosslinked by a crosslinking agent, wherein the polymer molecule and/or the crosslinking agent comprises a sensitive chemical bond that is cleavable through a chemical and/or light treatment, thereby resulting in the degradation of the degradable microbead. The present invention also provides a method of separating a target protein from a sample. By using the degradation of the degradable microbead to replace an elution step in protein purification, it is possible to select a combination of target protein and affinity ligand with a stronger affinity, thereby improving the protein purification efficiency. The method is especially suitable for the high-throughput preparation of multiple protein samples, for example providing a protein sample for electron microscope observation or mass spectrometry measurement.

Abstract: A dual-type qubit system, a quantum network based on the dual-type qubit system and a construction method thereof are provided. The dual-type qubit system includes two types of qubits. The two types of qubits, with different functions, are implemented by the same species of ions. The ion has at least two sets of long-lived energy levels. The two types of qubits, carried by spectrally different sets of long-lived energy levels of the ions, are convertible to each other.

Abstract: This application discloses a data writing method. A network controller performs erasure code encoding on original data, and writes a third quantity of target data blocks of a plurality of obtained target data blocks into a storage node. The network controller reads a first quantity of target data blocks of the third quantity of the target data blocks from the storage node, and decodes the read target data blocks. The plurality of target data blocks include a first quantity of original data blocks and a second quantity of check data blocks, two ends of a target data block include same version information, and the third quantity is greater than the first quantity.

Abstract: The present invention relates to a carbon nanotube-transition metal oxide composite and a method for making the composite. The composite comprises at least one carbon nanotube and a plurality of transition metal oxide nanoparticles. The plurality of transition metal oxide nanoparticles are chemically bonded to the at least one carbon nanotube through carbon-oxygen-metal (C—O-M) linkages, wherein the metal is a transition metal element. The method for making the composite comprising the following steps: step 1, providing at least one carbon nanotube obtained from a super-aligned carbon nanotube array; step 2, pre-oxidizing the at least one carbon nanotube; step 3, dispersing the at least one carbon nanotube in a solvent to form a first suspension; step 4, dispersing a material containing transition metal oxyacid radicals in the first suspension to form a second suspension; and step 5, removing the solvent from the second suspension and drying the second suspension.

Abstract: A method and apparatus for optimizing operation simulation of a data center are disclosed, and the method includes: constructing a data center simulation model; acquiring a state data set and an action data set of the data center; inputting the state data set and the action data set into a first state prediction model to obtain a next state data set; judging whether the next state data set meets a state safe judgment condition; if so, inputting the state data set and the action data set into a second state prediction model to obtain a next state data set; optimizing network parameters of a reinforcement learning algorithm; and determining an action data set corresponding to a real-time state data set of the data center by using the trained reinforcement learning algorithm.

Abstract: A multi-stage micro-decomposition swirl burner with an ammonia-doped fuel, and a low NOx control method are provided. A natural gas central pipe, a primary air pipe and a burner housing are nested from inside to outside in sequence to form a primary air duct and an over-fire air channel which are isolated from each other. Natural gas is ejected from the natural gas central pipe, and swirl vanes are arranged in the primary air duct, such that the primary air can be mixed with the central natural gas in a swirl state, and then a diffusion flame is formed under the action of an ignition device. Therefore, a pilot flame with sustainable combustion is formed at the center of an injection end of the burner.

Abstract: The present application provides a day-ahead scheduling method and apparatus for a power system, an electronic device, and a storage medium, where the method includes: obtaining power system prediction parameters in a to-be-scheduled time period, where the power system prediction parameters include thermal power unit parameters, renewable energy station parameters, load parameters, energy storage station (ESS) parameters, node parameters, a transmission line parameter and other power gird parameters; constructing a day-ahead scheduling optimization model and generating multiple renewable energy power scenarios based on the power system prediction parameters; solving the day-ahead scheduling optimization model to obtain day-ahead scheduling results; verifying the day-ahead scheduling results based on the power system prediction parameters and the multiple renewable energy power scenarios; and in case that the verifying the day-ahead scheduling results successes, outputting the day-ahead scheduling results.

Abstract: This application discloses a planar inverted F antenna pair and an electronic device, and relates to the field of antenna technologies. The planar inverted F antenna pair includes a dielectric substrate, a ground metal plane, and a radiation unit, where the ground metal plane is arranged on a side of the dielectric substrate, two ends of the radiation unit are respectively connected to a first feed portion and a second feed portion, the radiation unit is connected to the ground metal plane through a ground metal sheet, the ground metal sheet is located between the first feed portion and the second feed portion, distances from the first feed portion and the second feed portion to the ground metal sheet are not equal, the ground metal plane is provided with a slot, and two ends of the slot are located on two sides of the ground metal sheet.

Abstract: A method for multi-time scale reactive voltage control based on reinforcement learning in a power distribution network is provided, which relates to the field of power system operation and control. The method includes: constituting an optimization model for multi-time scale reactive voltage control in a power distribution network based on a reactive voltage control object of a slow discrete device and a reactive voltage control object of a fast continuous device in the power distribution network; constructing a hierarchical interaction training framework based on a two-layer Markov decision process based on the model; setting a slow agent for the slow discrete device and setting a fast agent for the fast continuous device; and deciding action values of the controlled devices by each agent based on measurement information inputted, so as to realize the multi-time scale reactive voltage control while the slow agent and the fast agent perform continuous online learning.