Abstract: A multimodal human-robot interaction system for upper limb rehabilitation, including an electroencephalography signal acquisition and processing module, a robot module, a comprehensive affected upper limb muscle signal acquisition and processing module, a rehabilitation training evaluation module, and a virtual reality module. The electroencephalography signal acquisition and processing module captures a motion intention of a patient by means of electroencephalography signals to trigger rehabilitation training. The robot module assists an affected upper limb with rehabilitation exercise. The comprehensive affected upper limb muscle signal acquisition and processing module acquires and obtains a comprehensive assessment of the affected upper limb. The rehabilitation training evaluation module is used for processing and analyzing the comprehensive assessment of the affected upper limb, so as to obtain a quantitative evaluation of the affected upper limb during rehabilitation training.

Abstract: The present disclosure provides a peanut whole-process production line and a method. The peanut whole-process production line includes a peanut cleaning system, a shell breaking system, a skin removing system, a peanut kernel classification system, an ultra-fine pulverization system and a classification packaging system; a first procedure is cleaning and impurity removal of peanuts, breaking of peanut shells is performed after the cleaning and impurity removal of peanuts, removal of peanut kernel skins and ultra-fine pulverization of the peanut shells are respectively performed after the breaking of peanut shells, classification of peanut kernels is performed after the removal of peanut kernel skins, and classification packaging of ultra-fine peanut shell powder is performed after the ultra-fine pulverization of the peanut shells; whole-process processing of peanuts is completed by using the peanut whole-process production line, and peanut resources are fully utilized.

Abstract: Disclosed is a high-contrast minimum variance imaging method based on deep learning. For the problem of the poor performance of a traditional minimum variance imaging method in terms of ultrasonic image contrast, a deep neural network is applied in order to suppress an off-axis scattering signal in channel data received by an ultrasonic transducer, and after the deep neural network is combined with a minimum variance beamforming method, an ultrasonic image with a higher contrast can be obtained while the resolution performance of the minimum variance imaging method is maintained. In the present method, compared with the traditional minimum variance imaging method, after an apodization weight is calculated, channel data is first processed by using a deep neural network, and weighted stacking of the channel data is then carried out, so that the pixel value of a target imaging point is obtained, thereby forming a complete ultrasonic image.

Abstract: A wear monitoring method of a polymer thrust bearing based on an ultrasonic reflection coefficient amplitude spectrum (URCAS), includes: selecting a corresponding delay block probe based on a material of a to-be-tested bearing, and setting corresponding parameters of a pulse generator; after collecting a primary echo from a surface of the delay block probe as a reference signal, placing the delay block probe in a designated region on a back of the to-be-tested bearing, and collecting time-domain echo signals from upper and lower surfaces of the bearing; establishing a propagation model of an ultrasonic signal in a polymer bearing, and calculating a theoretical URCAS based on the propagation model; calculating a measured URCAS; and constructing an objective function, and solving the objective function by using a differential evolution algorithm. A plurality of parameters of the polymer bearing is solved to meet a requirement for wear monitoring by adopting the method.

Abstract: Disclosed is a dynamic regulation method for a lane changing decision point of a CAV dedicated lane in a diverging area of an expressway, applied to the diverging area of the expressway in which the CAV dedicated lane is provided at an inner side of a road. Vehicles traveling in the CAV dedicated lane are all CAVs. Both the CAVs and human-driven vehicles can travel in ordinary lanes. The method calculates the lane changing decision points of diversion vehicles in the CAV dedicated lane at current time using corresponding algorithms based on a relationship between the lane changing decision points of the CAV dedicated lane and traffic efficiency and a traffic safety.

Abstract: The present disclosure discloses a dynamically traceable privacy-preserving distributed threshold signature system and method, which are applied to an environment composed of multiple signer modules, multiple aggregator modules, multiple notary modules, multiple tracer modules and a blockchain module; where the signer module signs data, encrypts a signature and uploads encrypted signature to the blockchain module; the aggregator module receives the encrypted signatures from the blockchain module and aggregates them into a synthetic signature, and at the same time sends a corresponding transaction to the blockchain module; the notary module locates the synthetic signature in the blockchain module and partially decrypts the synthetic signature into multiple synthetic signature fragments; the tracer module aggregates synthetic signature fragments and traces a set of signers; and the blockchain module consists of multiple nodes and is responsible for receiving transactions sent by each module.

Abstract: The present invention introduces ionic polymers featuring with a spiro structure, which enhances the solubility and gas permeability of the ionic polymer while maintaining excellent conductivity, mechanical properties, and dimensional stability. This is achieved by incorporating a spiro fragment with a large free volume into the polymer backbone. As a result, the gas permeability of the catalyst layer prepared from this ionic polymer is improved, making it suitable as a catalyst binder for proton exchange membrane fuel cells (PEMFCs) or anion exchange membrane fuel cells (AEMFCs). Furthermore, the electrochemical performance of the fuel cell is enhanced. Additionally, the proton exchange membrane and anion exchange membrane derived from this ionic polymer containing a spiro structure effectively improve the conductivity of both types of membranes by increasing the space volume due to the presence of the large free volume spiro fragment.

Abstract: A device for supplying and recovering a minimal quantity lubricant in a magnetic field-assisted abrasive grinding, including a grinding wheel guard assembly, including a grinding wheel guard, grinding wheel, and wind deflector; a magnetic worktable mounted on the guard, and a magnetic clamp on the worktable; a controllable magnetic field assembly, including a permanent magnet and a first guide rail mechanism mounted on the deflector, the magnet being connected to the mechanism and to a recovering and filtering device; a controllable nozzle assembly, connected to the deflector on an opposite side of the magnetic field assembly, including a nozzle connected to a linear motion mechanism; and a controlling and monitoring assembly, including a vision camera on the worktable, connected to a system control box. The magnetic nanofluid can exert the optimal lubricating properties and cooling performance under the magnetic field-assisted abrasive grinding, and the magnetic nanoparticles can be further recycled.

Abstract: The present invention discloses a multi-source data fusion method and system for dynamic system scenario behavior deduction and reliability prediction analysis, a computer device, and a storage medium. Based on a Markov/CCMT dynamic reliability prediction analysis method and combined with a multi-source data fusion and assimilation method, the method simulates and statistically analyzes complex dynamic behavior characteristics of digital process control with strong interactive coupling, nonlinearity and high uncertainty by Monte Carlo probability model random sampling, and then achieves forward deduction analysis and reliability prediction of a system operation state through dynamic search analysis of a system state transition probability matrix model.

Abstract: The invention pertains to a measuring system for the conductivity of supercritical geothermal fluid, featuring a reaction control unit with a reaction vessel lined with corundum ceramic and containing a stirrer, a pressure control unit including a booster pump connected to Ar gas and an air compressor, a flow control unit with a flowmeter, and a temperature control unit comprising a heating furnace with thermocouples both inside and outside the reaction chamber. An electrical signal monitoring unit with electrodes fitted through a corundum capillary into the ceramic lining measures current and voltage. The invention also details a method for measuring conductivity, highlighting how water-rock interactions in supercritical geothermal fluids affect conductivity changes.

Abstract: Disclosed are a phosphinothricin dehydrogenase mutant, a recombinant bacterium and a one-pot multi-enzyme synchronous directed evolution method. The phosphinothricin dehydrogenase mutant, with an amino acid sequence as shown in SEQ ID No.1, is obtained by mutating alanine at position 164 to glycine, arginine at position 205 to lysine, and threonine at position 332 to alanine in a phosphinothricin dehydrogenase derived from Pseudomonas fluorescens. The recombinant bacterium is obtained by introducing a gene encoding the phosphinothricin dehydrogenase mutant into a host cell. The host cell can also incorporate a gene encoding a glucose dehydrogenase or a gene encoding a formate dehydrogenase to undergo synchronous directed evolution to achieve double gene overexpression. The one-pot multi-enzyme synchronous directed evolution method of the present invention can screen recombinant bacteria with greatly improved activity.

Abstract: The present invention provides a GaN/two-dimensional AlN heterojunction rectifier on a silicon substrate and a preparation method therefor and belongs to the field of rectifiers. The rectifier comprises a silicon substrate, a GaN buffer layer, a carbon-doped semi-insulating GaN layer, a two-dimensional AlN layer, a non-doped GaN layer, a non-doped InGaN layer and a SiNx passivation layer that are stacked in sequence. The rectifier further comprises a mesa isolation groove and a Schottky contact electrode that are arranged at one side. The mesa isolation groove is in contact with the non-doped GaN layer, the non-doped InGaN layer, the SiNx passivation layer and the Schottky contact electrode. The Schottky contact electrode is in contact with the mesa isolation groove and the non-doped GaN layer. The thickness of the two-dimensional AlN layer is only several atomic layers, thus the received stress and polarization intensity are greater than those of the AlGaN layer.

Abstract: There is provided a mono-wing aerial device which includes a housing member having disposed thereon electronic components and a power source, including a controller configured to control a thrust unit; a wing member coupled to the housing member, the wing member configured to produce aerodynamic forces for autorotation of the aerial device, the wing member comprising a first edge portion proximal to the housing member and a second edge portion distal to the housing member, wherein the wing member is coupled to the housing member at the first edge portion; and the thrust unit coupled to the wing member at the second edge portion, wherein the thrust unit is configured to generate thrust in a direction substantially tangential to a rotational plane of the wing member. There is also provided a method of forming the mono-wing aerial device.

Abstract: Disclosed is a ship detection and tracking method and device, the method comprises: pre-training a yolov5s network model with a first preset number of high-speed moving object datasets to obtain an initial ship detection model; adding a preset attention mechanism to the initial ship detection model to obtain a transitional ship detection model; inputting a second preset number of annotated ship datasets into the initial ship detection model with the preset attention mechanism for training to obtain a target ship detection model; inputting an original ship video frame into the target ship detection model, and outputting the position information of the ship to be tracked; performing ship video image tracking on the ship to be tracked according to the position information. This disclosure performs pre-training, which only requires a small amount of annotated ship data to determine the target ship detection model, achieving video image tracking of the target ship.

Abstract: A device and method for preparing in-situ molded biochar with high specific surface area. Crushed and mixed biomass and modifier are fed into a hot pressing and pyrolysis device, and hot-pressing molding and pyrolysis carbonization are completed synchronously, which solves the problem of multiple steps and complicated equipment in the existing preparation process for molded biochar material. In-situ bonding molding is realized by adhesion, bridging, cross-linking and mechanical interlocking functions of low-temperature molten & softened lignin and pyrolytic tar. No additional cross-linking agent is needed in this process, so the production cost is low. Covering and suffocating actions of trace flame retardant modifier are utilized to reduce the temperature of biomass pyrolysis carbonization, inhibit excessive ablation and accelerate polycondensation reaction, thus to improve the specific surface area and yield of a product, and improve the cost performance of the product.

Abstract: An intelligent separation device has gas explosion, stirring, drying and negative pressure adsorption devices. The gas explosion device receives conveyed peanut materials with red coats to be removed, and the materials are subjected to gas explosion, so that the peanut kernels and the peanut red coats are preliminarily separated. The stirring device shifts the preliminarily separated peanut kernels and peanut red coats into the drying device. The drying device compresses and heating external air, transfers heat through hot air, and heats and dries the preliminarily separated peanut kernels and peanut red coats, so that the peanut red coats and the peanut kernels are fully separated. The negative pressure adsorption device collects the fully separated peanut kernels and red coats with different densities and masses in a negative pressure adsorption mode.

Abstract: The present invention, belonging to the technical field of biological imaging, discloses a photo-activatable aggregation-induced emission probe with in-situ generation capability, a preparation method therefor and an application thereof. The preparation method is as follows: A bis(2-(2-hydroxybenzylidene)amino)aryl disulfide compound is reacted with thiol to obtain a photo-activatable aggregation-induced emission probe, which has a structure as shown in formula III. In the present invention, the photo-activatable aggregation-induced emission probe is aggregated into a specific organelle, and a 2-(2-hydroxyphenyl)benzothiazole compound having the aggregation-induced emission property is generated through a photo-oxidation reaction.

Abstract: An anti-collision buffering device for high-speed train is provided. The anti-collision buffering device for high-speed train includes: an impacting and buffering body, which is hollow to form a buffering cavity filled with buffering medium; a contacting pad is arranged at a front end of the impacting and buffering body, contacting beams are arranged at a rear end of the impacting and buffering body, one or more impacting and buffering bodies are arranged between two adjacent carriages of the high speed train, the buffering cavity is divided into three sub-cavities by separating plates, an inner buffering cavity at a middle and two outer buffering cavities at sides, an protruding cavity is arranged on the inner buffering cavity. The anti-collision buffering device for high-speed train has simple structure, relatively low manufacturing cost, and is feasible for practical production, and with practical significance.

Abstract: The present disclosure belongs to the field of functional fiber materials, and discloses a non-metallic temperature-responsive composite for magnetic resonance imaging (MRI), and a preparation method and use thereof. An organic hydrogen-containing molecular contrast agent is loaded into a polymer fiber through electrospinning, and the phase structure and molecular motility of the organic hydrogen-containing molecular contrast agent are controlled to regulate its relaxation time. The non-metallic temperature-responsive composite can achieve an “on/off” temperature-responsive MRI effect for a polymer material without the addition of an additional magnetic field. Compared with the prior art, an additional magnetic field is not required; the selected contrast agent is non-toxic or exhibits low toxicity to the human body; and an “on/off” imaging effect can be realized, where the advantages of nuclear magnetic resonance (NMR) signals of the material itself will not be affected when imaging is not conducted.

Abstract: According to embodiments of the present disclosure, an optical device for dispersion compensation is provided. The optical device may include a channel waveguide and two sidewalls coupled to at least a portion of the channel waveguide. The two sidewalls may be respectively arranged at opposing sides of the channel waveguide along a longitudinal axis of the channel waveguide. Each of the two sidewalls may include a plurality of optical elements arranged along the channel waveguide of the waveguide, and the plurality of optical elements may be configured to interact with light propagating in the waveguide so as to compensate dispersion of the light by transmitting the light in a regime close to a stopband of the plurality of optical elements defined by a period of the plurality of optical elements.