Abstract: The present disclosure relates to a nitrogen-doped porous carbon material and a preparation method and use thereof. In the present disclosure, the preparation method of a nitrogen-doped porous carbon material includes the following steps: conducting carbonization on a biomass material to obtain a carbon source; and mixing the carbon source with a potassium 4-aminobenzoate aqueous solution, and drying and conducting calcination in a protective atmosphere sequentially to obtain the nitrogen-doped porous carbon material. In the preparation method, the potassium 4-aminobenzoate is used as a nitrogen source as well as an activator for preparing the nitrogen-doped porous carbon material. Nitrogen doping is simultaneously completed during the activation, and the nitrogen-doped porous carbon material can be prepared through one-step calcination.

Abstract: Provided are a light guide plate assembly, a backlight module, and a display device, which relate to the field of display technologies, and improve uniformity of the light intensity of light emitted from different areas in the light guide plate assembly. The light guide plate assembly includes a reflection portion having an aperture; and a transmission portion. At least part of the transmission portion is located in the aperture. The transmission portion includes a converging portion and a diverging portion. A curvature of a surface of the converging portion adjacent to a light-incoming side of the light guide plate assembly is greater than or equal to 0, and a curvature of a surface of the diverging portion adjacent to the light-incoming side of the light guide plate assembly is smaller than or equal to 0.

Abstract: Disclosed is a selective field-assisted machining system. The system includes a micron-level high-speed identification module, an in-situ laser assisted module, an ultrasonic vibration module, an energy field loading high-speed control module, and a diamond tool. The micron-level high-speed identification module is used to quickly identify the type of a material substrate of a workpiece to be processed, process the identification information into a corresponding control signal, and send same to the energy field loading high-speed control module to implement selective processing of the workpiece to be processed, i.e. to process brittle particles using in-situ laser assisted machining and to process a soft metal substrate using ultrasonic vibration processing. In the present invention, ultra-precision cutting of brittle particles and a soft metal substrate can be completed at the same time in a single processing process.

Abstract: A light guide plate assembly, a backlight module, and a display device are provided. The light guide plate assembly is configured to guide exiting light emitted from a light-emitting element. The light guide plate assembly includes a reflective part includes an opening, and a transmissive part. At least a part of the transmissive part is located at a side of the reflective part adjacent to a light-exiting side of the light guide plate assembly. The transmissive part includes a first part. Along a direction from a center of the opening to an edge of the opening, light intensity of the exiting light received by the first part is negatively correlated to light transmittance of the first part.

Abstract: A Fresnel lens in a lens body, the lens body is provided with a light incident surface and a light exit surface opposite to each other along a first direction, and the light exit surfaces are adjacently arranged in a second direction perpendicular to the first direction. There are several protruding teeth, and the protruding teeth are formed by an effective surface and an ineffective surface, and the ineffective surface is inclined at an acute angle relative to the first direction. The invention makes the light passing through the lens body reach the effective surface as much as possible, thereby reducing stray light and enhancing light efficiency.

Abstract: The present disclosure relates to a radar ranging system based on a true random generator and a ranging method thereof The present disclosure adopts the following technical scheme: the system comprises a radar signal modulation and transmission unit and a radar signal receiving and processing unit, wherein the radar signal modulation and transmission unit inputs and stores a true random binary sequence generated by the true random generator in a memory, and cyclically outputs the true random binary sequence to a BPSK modulator for phase modulation. The receiving and amplifying unit receives the reflected radar signal. The down-sampling unit down samples the intermediate frequency signal generated by the mixers. The data processing unit converts the sampled analog signal into a digital signal and cross-correlates the signal with the true random binary sequence in the memory, so as to obtain the distance to the object side to be measured.

Abstract: Implementations of the present specification provide a model-based prediction method and apparatus. The method includes: a model running environment receives an input tensor of a machine learning model; the model running environment sends a table query request to an embedding running environment, the table query request including the input tensor, to request low-dimensional conversion of the input tensor; the model running environment receives a table query result returned by the embedding running environment, the table query result being obtained by the embedding running environment by performing embedding query and processing based on the input tensor; and the model running environment inputs the table query result into the machine learning model, and runs the machine learning model to complete model-based prediction.

Abstract: An electronic device includes: a battery, a mainboard, and a housing. The battery is connected to the mainboard, the mainboard is provided with a first controller, the battery and the mainboard are installed in a cavity of the housing, and the housing includes a rear cover. The rear cover includes an electrochromic layer, the electrochromic layer is connected to the mainboard, the first controller is configured to control whether to power on the electrochromic layer, and a color displayed on the electrochromic layer when the electrochromic layer is powered on is different from a color displayed when the electrochromic layer is not powered on. The rear cover can change, by controlling a power-on and power-off status of the electrochromic layer, a color displayed on the electrochromic layer, and further change a color displayed on the rear cover, without changing a decorative film.

Abstract: A cylinder porous cylinder, a gas flow control valve, and a mounting method for the gas flow control valve. The porous cylinder (1) includes a plurality of pipe bundles filled inside the pipe. A single flow passage is formed in each of the pipe bundles, such that a seepage passage is formed inside the pipe. The inner diameter, length and permeability of the pipe bundle are determined in advance based on a Reynolds number smaller than 2300. The porous cylinder (1) is capable of implementing a stable gas flow in a gas injection channel. The valve body (21) of the gas flow control valve (2) is provided therein with a plurality of tubular passages arranged in sequence along the horizontal direction of the valve body. The tubular passages include a pipe flow passage (24) and a plurality of seepage passages (25). The porous cylinder (1) is mounted in each of the seepage passages (25). A plurality of connection channels (221) are provided in the valve cap.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: An information configuration method includes transmitting a signal to a display of an electronic apparatus at a first transmission frequency, and, upon detecting that a current frequency band of the electronic apparatus is not in the first frequency band, switching the first transmission frequency to a second transmission frequency when the display is inactive. A parameter of the electronic apparatus associated with the first transmission frequency meets a predetermined condition when the electronic apparatus operates at a first frequency band. The parameter associated with the second transmission frequency meets the predetermined condition when the electronic apparatus operates at a second frequency band.

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: An FPGA hardware device obtains encrypted data of each participant of a secure computing system, where the FPGA hardware device stores at least one first key, where the at least one first key is at least one first key of all participants in the secure computing system or at least one first key of a predetermined number of trusted managers in the secure computing system, where the FPGA hardware device includes an FPGA chip. The FPGA hardware device decrypts the encrypted data of each participant by using a working key of each participant, to obtain plaintext data of each participant, where the working key of each participant is obtained based on a corresponding first key of the at least one first key. The FPGA hardware device performs computing based on the plaintext data of each participant to obtain a computing result. The FPGA hardware device outputs the computing result.

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: Implementations of the present specification provide a model-based prediction method and apparatus. The method includes: a model running environment receives an input tensor of a machine learning model; the model running environment sends a table query request to an embedding running environment, the table query request including the input tensor, to request low-dimensional conversion of the input tensor; the model running environment receives a table query result returned by the embedding running environment, the table query result being obtained by the embedding running environment by performing embedding query and processing based on the input tensor; and the model running environment inputs the table query result into the machine learning model, and runs the machine learning model to complete model-based prediction.

Abstract: An FPGA hardware device obtains encrypted data of each participant of a secure computing system, where the FPGA hardware device stores at least one first key, where the at least one first key is at least one first key of all participants in the secure computing system or at least one first key of a predetermined number of trusted managers in the secure computing system, where the FPGA hardware device includes an FPGA chip. The FPGA hardware device decrypts the encrypted data of each participant by using a working key of each participant, to obtain plaintext data of each participant, where the working key of each participant is obtained based on a corresponding first key of the at least one first key. The FPGA hardware device performs computing based on the plaintext data of each participant to obtain a computing result. The FPGA hardware device outputs the computing result.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).