Abstract: The present invention relates to a light regulation and control screen, its system and method thereof. The light regulation and control screen includes a first conductive structure, a second conductive structure, a light response structure disposed between the first and the second conductive structure, and a bistable display structure disposed between the first and the second conductive structure and located on one side of or inside the light response structure. The method has low power consumption and extremely fast response rate, by using the electrical property of the light response structure for color rendering and erasing. Only the area irradiated by light can be in a conductive state to realize a selective erasing, while other areas of the light response structure are still insulated. The present invention does not need complex circuit designs and additional sensing structures, and it is convenient for manufacturing large-size screens and promoting wide applications.

Abstract: A method and system for detecting Fusarium moniliforme species of rice seeds are provided, relating to the field of rapid quality detection of rice seeds. The method includes: inputting a hyperspectral image of to-be-tested rice seeds to a model for detecting Fusarium moniliforme species of rice seed, to determine a test result of the rice seeds, where the test result is no Fusarium moniliforme or a Fusarium species. The model for detecting Fusarium moniliforme species of rice seed is determined based on activated wavelengths and an original deep convolutional neural network; the activated wavelengths are wavelengths activated by a trained deep convolutional neural network upon correct classification; and the trained deep convolutional neural network is a neural network obtained by training the original deep convolutional neural network based on the training set.

Abstract: The invention belongs to the field of biomedicine technology and discloses the application of Gastrodia elata Blume derived nano-extracellular vesicles in the preparation of drugs for the prevention and/or treatment of subarachnoid hemorrhage (SAH). The Gastrodia elata Blume-derived nano-extracellular vesicles of this invention are obtained from separation of Gastrodia elata Blume by water extraction. The ingredients of this invention are natural, none of toxic side effects and with good biocompatibility and safety. Therefore, this invention has broad application prospects.

Abstract: The disclosure provides a solvent resistant polyimide/polyethyleneimine@titanium dioxide nanohybrid ultrafiltration membrane with high solvent permeability and a preparation method thereof. The preparation method comprises the following steps: dissolving a titanium dioxide precursor Ti-BALDH and polyimide into N-methylpyrrolidone to prepare a casting solution, then coating on the non-woven fabric, and preparing the solvent resistant nanohybrid polyimide membrane in one step through a non-solvent induced phase separation-interface crosslinking-in-situ biomimetic mineralization coupling method. According to the disclosure, a solvent resistant polyimide/polyethyleneimine@TiO2 nanohybrid ultrafiltration membrane (PEIPI@TiO2) with high solvent permeability prepared through a simple non-solvent induced phase separation-interface chemical crosslinking-in-situ bionic mineralization coupling method.

Abstract: The present disclosure provides a Q-learning based model-free control method for an indoor thermal environment of an aged care building and belongs to the technical field of building environment control. According to the present disclosure, the monitored indoor temperatures of individual users and the heart rate and systolic pressure data of the aged are used as input data to a constructed Q-learning model, thus outputting a running control policy for a heating, ventilation and air conditioning system in the corresponding building. As a result, the control efficiency of the indoor temperature and the energy efficiency of the heating, ventilation and air conditioning system are improved. Compared with a traditional control model, the reinforced learning method based on the Q-learning theory can realize more accurate prediction on the cardiovascular health risk of the aged and can create a dynamic indoor thermal environment more suitable for the physical health of the aged.

Abstract: The present disclosure provides a new thiocarbonyl-based poly(O-thiocarbamate) compound with a structure represented by Formula I below, which has a sulfur element introduced, and has good solubility and high molecular weight.

Abstract: Provided is a self-adaptive identification method for nonlinear dynamic parameters of a reducer, which belongs to the design field of a reducer. The method includes: modeling a harmonic reducer corresponding to a flexible joint as a concatemer of a rigid reducer and an elastic torsion spring, and carrying out dynamic theoretical modeling and parameter variable independence processing on the concatemer to form a dynamic equation for parameter identification; giving an optimized motion trajectory to each joint of a robot and controlling the robot to act accordingly, acquiring relevant data needed for parameter identification based on a built-in torque sensor and double encoders inside the joint; using an offline identification algorithm to accurately identify a plurality of dynamic parameters of a collaborative robot considering joint flexibility and friction, and obtaining a minimum parameter set.

Abstract: A method for improving magnetic properties of a Ce—Y-rich rare earth permanent magnet is provided, and the Ce—Y-rich rare earth permanent magnet is subjected to pressurized heat treatment to improve magnetic properties. The method includes: preparing a pristine magnet through a sintering process; and placing the pristine magnet into a pressurized heat treatment device and performing pressurized heat treatment under the protection of an argon atmosphere. By regulating parameters such as pressure, temperature and holding time in the heat treatment process, element diffusion in the Ce—Y-rich permanent magnet is promoted, and coercivity, remanence, magnetic energy product and temperature stability of the Ce—Y-rich permanent magnet are improved. The method has advantages of a simple process with low energy consumption, a substitution amount of rare earths Ce—Y up to 90 wt % while having excellent magnetic performance, so that a way for efficient utilization of high-abundance rare earths Ce and Y is provided.

Abstract: A three-dimensional (3D) superdirective antenna and optimization method is disclosed herein. The antenna includes: a multilayer substrate, a plurality of radiating elements, and an excitation module. The several radiating elements are mounted on the multilayer substrate to form a 3D radiating element array. The excitation module includes an excitation circuit and a beamforming module that measures radiation fields generated by the array both with and without coupling effects. An embodiment may also generate a coupling matrix based on spherical wave coefficient expansion of the measured radiation fields and determine a superdirective excitation vector based on the coupling matrix. An embodiment may also excite the radiating elements using the excitation vector to generate a superdirective beam.

Abstract: In an intelligent pollution and carbon reduction method based on combustion control and load distribution, a data processing layer, a multi-unit load distribution and operation optimization layer and a single-unit boiler multi-objective combustion optimization layer are used. The data processing layer, the multi-unit load distribution and operation optimization layer and the single-unit boiler multi-objective combustion optimization layer are embedded in a power plant information system in the form of modules. A load distribution and operation optimization method for a multi-source fuel blending combustion unit with economy as an objective is provided to overcome the operation optimization difficulty of the key production process of a multi-source fuel blending combustion cogeneration unit, such as sludge drying-steam distribution.

Abstract: Some embodiments of the disclosure provide a cooperative positioning system and method for an unmanned underwater vehicle (UUV) cluster based on ranging and information interaction. In some examples, the cooperative positioning system includes one master UUV, multiple slave UUVs, and a cooperative positioning apparatus. In some examples, the cooperative positioning method includes following steps. A master UUV and a slave UUV perform internal clock disciplining. The master UUV periodically packages a location of the master UUV and a covariance matrix of location estimation into a cooperative positioning data packet and broadcasts the cooperative positioning data packet to slave UUVs of a cluster. The slave UUV receives the cooperative positioning data packet. A cooperative positioning apparatus of the salve UUV constructs a state and a measurement equation according to data. The cooperative positioning apparatus calculates and obtains a cooperative positioning result by using an extended Kalman filter (EKF).

Abstract: The present invention discloses a method for private set intersection in a smart city system, a device, and a storage medium. According to the present invention, a threshold secret sharing technology is adopted to share a private set among three parties, so that an intersection cardinality is hidden and security of private set intersection is improved. Before two parties perform the private set intersection, a blockchain is used to verify identities of the two parties, which protects security of data of the two parties to a certain extent. In addition, according to the present invention, the private set is divided into a plurality of subsets with labels, which implements an interaction manner with finer granularity. Therefore, compared with a private set intersection solution in a previous smart city system, the present invention is greatly improved in practicability, security, and other aspects.

Abstract: The present disclosure provides a method for predicting co-channel interference (CCI) of a satellite-to-ground downlink under a low-orbit satellite constellation. The method includes: obtaining CCI values in a first time period and CCI values in a second time period; constructing a CCI model based on the CCI values in the first time period and a dropout wavelet neural network (WNN); updating parameters of the CCI model; inputting the CCI values in the second time period into an updated CCI model to obtain accuracy; determining whether the accuracy is greater than an accuracy threshold; and if the accuracy is greater than the accuracy threshold, reconstructing the CCI model; or if the accuracy is less than or equal to the accuracy threshold, outputting the updated CCI model; and predicting CCI values of each link at a next moment based on the updated CCI model.

Abstract: A photoelectric fluid field cluster catalytic method for atomic-scale deterministic processing, comprises the following steps: selecting nanoparticles with photocatalytic activity as a photocatalytic medium, and using a photoreduction method to realize the precipitation of metal nanoparticles on a surface of the photocatalytic medium, thus creating photoelectrocatalytic clusters; illuminating a coupling area between a surface to be processed of a workpiece, the photoelectrocatalytic clusters and a flexible tool with a catalytic light source, and simultaneously applying a bias voltage to a conductive tray of the workpiece; and applying a normal load to a flexible tool head and setting a rotation speed to generate a hydrodynamic pressure to drive a polishing solution to flow, thus enabling controllable removal with atomic-level precision.

Abstract: A method for monitoring rice bacterial blight includes: obtaining a multi-spectral image, severities of the rice bacterial blight, and accumulated temperature data of a rice field at different growth stages; obtaining resistance of rice varieties to the bacterial blight; extracting a mean canopy spectral reflectance of each plot in the rice field; conducting regression of the severity of the rice bacterial blight using a convolutional neural network based on the mean canopy spectral reflectance and the severity of the rice bacterial blight, and outputting a depth spectrum feature; training a disease severity regression model with the accumulated temperature data, the depth spectrum feature, and the resistance to the bacterial blight for each plot as an input and the corresponding severity as an output; and monitoring a severity of the rice bacterial blight in a to-be-monitored rice field using the disease severity regression model.

Abstract: A method for achieving a remediation of a chlorinated organic pollutant (COP)-contaminated soil and a reduction of a methane emission synchronously through a microbial regulation is provided, including: in an anaerobic environment, adding at least one of electron donors, electron shuttles, and electron flow interference agents to the COP-contaminated soil to accurately and directionally regulate an electron transfer route, facilitating a COP reductive dechlorination mediated by indigenous microorganisms and meanwhile inhibiting a growth and a metabolism of methanogens synchronously.

Abstract: The present disclosure provides a transmission line defect identification method based on a saliency map and a semantic-embedded feature pyramid, including the following steps: step 1: cleaning and classifying a dataset; step 2: generating a super-resolution image for a small target of a transmission line by using an Electric Line-Enhanced Super-Resolution Generative Adversarial Network (EL-ESRGAN) model; step 3: performing image saliency detection on the dataset by constructing a U2-Net; step 4: performing data augmentation on the dataset by using GridMask and random cutout algorithms based on a saliency map, and generating a classified dataset; and step 5: performing image classification on a normal set and a defect set by using a ResNet34 classification algorithm and a deep semantic embedding (DSE)-based feature pyramid classification network.

Abstract: A device for multi-energy field induced atomic-scale CNC machining in an environmental atmosphere comprises an electromagnetic shielding chamber and a control mechanism, wherein an environmental chamber is arranged in the electromagnetic shielding chamber, a workpiece platform is arranged at the bottom of the environmental chamber, and a nanotool driven by a nanotool actuator is arranged at the top of the environmental chamber, and a gas inlet and a gas outlet which are connected to the environmental chamber are formed in the electromagnetic shielding chamber; and the control mechanism is used for controlling the workpiece platform and the nanotool actuator and applying energy fields including a force field, a temperature field, an electric field, an optical field and a magnetic field. The device has the advantages of atomic precision, high efficiency, low cost and good universality.

Abstract: A photoelectric fluid field cluster catalytic method for atomic-scale deterministic processing, comprises the following steps: selecting nanoparticles with photocatalytic activity as a photocatalytic medium, and using a photoreduction method to realize the precipitation of metal nanoparticles on a surface of the photocatalytic medium, thus creating photoelectrocatalytic clusters; illuminating a coupling area between a surface to be processed of a workpiece, the photoelectrocatalytic clusters and a flexible tool with a catalytic light source, and simultaneously applying a bias voltage to a conductive tray of the workpiece; and applying a normal load to a flexible tool head and setting a rotation speed to generate a hydrodynamic pressure to drive a polishing solution to flow, thus enabling controllable removal with atomic-level precision.

Abstract: Amine-supported mesoporous carbon and a preparation method and use thereof are provided.