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This invention discloses a method for preparing high-entropy ceramic matrix composites using a reactive infiltration process, belonging to the technical field of ceramic matrix composites. The steps are as follows: at least four single-component carbides are ball-milled and mixed with a carbon source, then dispersed in a dispersion liquid to obtain a slurry; continuous fibers are woven into a preform, and an interface layer and a matrix layer are deposited to obtain a semi-dense composite material; the slurry is introduced through vacuum or pressure impregnation; and a high-entropy carbide matrix is ​​generated in situ and densified by reactive infiltration after embedding with a transition metal and its alloy. This invention solves the problems of long process cycles, high porosity, high cost, and insufficient introduction of high-entropy ceramics in existing processes, achieving rapid densification and improving the material's high-temperature stability, oxidation resistance, and ablation resistance. It is suitable for the large-scale production of thermal protection materials for hypersonic vehicles.

The application provides a kind of double-link point cloud completion method, system, equipment and storage medium, method includes: the original point cloud data is respectively input into first feature extraction branch and second feature extraction branch, and first feature vector and second feature vector are respectively obtained by different network architecture;The first feature vector and the second feature vector are fused to obtain global high-dimensional semantic feature;And the global high-dimensional semantic feature is decoded to generate the target point cloud set of completion.This application uses two branches to simultaneously extract different dimensional features of point cloud, obtain more, richer high-dimensional semantic features and local features containing global point cloud information, which can improve point cloud completion accuracy and point cloud density.

This invention relates to the field of water pollution control materials technology, specifically disclosing a method for preparing a quaternary ammonium salt modified starch-chitoxin composite gel. First, chitoxin powder is added to a green solvent to obtain a chitoxin solution. Then, a quaternary ammonium salt modified starch dispersion is added to obtain a chitoxin composite solution containing quaternary ammonium salt modified starch. Next, repeated freeze-thaw cycles are performed to obtain a viscous composite. A crosslinking agent is added dropwise to the composite to obtain a crosslinking gel precursor. Finally, the crosslinking gel precursor is soaked in alcohol and washed until neutral to obtain the quaternary ammonium salt modified starch-chitoxin composite gel. The green solvent is a urea-water system of NaOH, KOH, or LiOH; the crosslinking agent is epichlorohydrin or epichlorohydrin. The application of the quaternary ammonium salt modified starch-chitoxin composite gel in the removal of micro / nanoplastics from water is also disclosed. This invention aims to solve the problems of complex synthesis processes, high production costs, and easy secondary pollution associated with existing micro / nanoplastics adsorbent materials.

The present application relates to the technical field of disease risk prediction, and particularly relates to a ten-year risk prediction method, system and device for sudden cardiac death, the method comprising: obtaining 48-hour electrocardiogram data of an individual sample and a risk classification evaluation result based on a China-PAR risk assessment model; splitting and combining the electrocardiogram data to obtain a preset multi-dimensional waveform graph; constructing a convolutional neural network model, taking the waveform graph as input and the corresponding risk classification evaluation result as output to train the model and obtain a sudden cardiac death risk prediction model; inputting the processed waveform graph of 48-hour electrocardiogram data of a subject into the prediction model, and outputting the result as a ten-year sudden cardiac death risk prediction level result. The present application can create a non-linear, high-precision, and iterative sudden cardiac death risk deep learning model for the general population and doctors, improve the detection rate of sudden cardiac death, and reduce the recurrence rate and mortality.

The application relates to the technical field of construction safety management, and discloses a power engineering construction safety management system, which comprises a real-time risk assessment scheduling unit, a forward-looking human factor risk perception unit and a risk simulation mapping unit. The real-time risk assessment scheduling unit is used for generating a safety state characteristic map based on heterogeneous safety data of a construction site, identifying a risk event of the construction site through the safety state characteristic map, and generating an intervention instruction and a resource scheduling scheme to optimize the construction site. The application can comprehensively capture multi-dimensional information of the construction site by collecting personnel biological characteristics, equipment operation logs, environmental indexes and work video streams and other heterogeneous safety data through a multi-modal perception unit, breaks the limitation of single and one-sided data collection in the traditional management mode, and enables management personnel to obtain more rich and comprehensive on-site safety information, so that the overall safety condition of the construction site can be more clearly understood.

This invention provides a method, device, and computer storage medium for obtaining cerebrovascular function compensation indicators. The method includes: acquiring four-dimensional image data of a subject's brain, including dynamic magnetic susceptibility contrast-enhanced MRI data or CT perfusion imaging data; inputting the four-dimensional image data into a physical information neural network model, which outputs cerebrovascular function compensation indicators, including cerebrovascular reactivity as a first indicator and oxygen extraction fraction as a second indicator; wherein the physical information neural network model includes a compensation mapping component, which generates the first and second indicators and introduces a nonlinear inverse proportional relationship to correct the first and second indicators. This invention provides a safe, efficient, accurate, and comprehensive method for obtaining cerebrovascular function compensation indicators.

This invention relates to the field of mineral processing technology, and discloses a copper sulfide ore beneficiation reagent, its preparation method, and its application. The reagent is composed of 50-55 parts by weight of sodium dibutyl monothiophosphate, 20-25 parts by weight of sodium isobutyl xanthate, 10-15 parts by weight of modified mercaptothiocyanate, and 5-10 parts by weight of fusel oil. The modified mercaptothiocyanate is obtained by chemically modifying the molecular structure of conventional mercaptothiocyanates by introducing hydrophobic alkyl groups and / or sulfur-containing functional groups. The fusel oil is a mixture of C4-C8 fatty alcohols. The preparation method includes: weighing the raw materials; mixing and dissolving sodium dibutyl monothiophosphate and sodium isobutyl xanthate to obtain a mixed solution; adding the modified mercaptothiocyanate and stirring to obtain a reaction solution; adding the fusel oil, stirring, separating the liquid to obtain an oily liquid, and filtering to obtain the reagent. The mass ratio of the oily liquid to the mixed solution after separation is (20-80):(80-20), and the filtration time is 30-60 min. The reagent of this invention can be used in the flotation of copper sulfide ore, with a dosage of 60-120 g / t.

The utility model relates to medical nursing technical field, concretely is a kind of infusion sensing system fixed mounting structure of supporting multi-device monitoring, including main part, the inside of main part is provided with monitoring component, the monitoring component includes wire slot one, infrared inductor, condenser inductor, recess, transparent observation window, miniature camera module, wire slot one is set up in the bottom inner wall of main part, the top of wire slot one is fixedly connected with infrared inductor. This kind of infusion sensing system fixed mounting structure of supporting multi-device monitoring, by adding monitoring component, infrared inductor, condenser inductor and miniature camera module work together, monitor infusion condition from different angles, can more comprehensive, accurately obtain infusion information, improve the accuracy of detection, communication module can transmit monitoring information to multiple devices, medical staff can real-time understand infusion condition at different locations, timely handle exception, improve work efficiency and nursing quality.

This invention relates to the field of data analysis technology, and discloses a method, device, electronic device, and storage medium for analyzing human squatting behavior on a toilet. The method includes: performing a Fast Fourier Transform on millimeter-wave radar echo signals to obtain a range-Doppler image; extracting the posture point cloud features and range-Doppler features of the human target in the range-Doppler image; performing height analysis on the human target based on the posture point cloud features to obtain sitting height thresholds and standing height thresholds, and identifying candidate sitting and standing behaviors; and performing probability discrimination of squatting behavior on the human target based on the candidate sitting and standing behaviors, posture point cloud features, and range-Doppler features to obtain the squatting behavior recognition result. By implementing signal processing, feature extraction, height analysis, and squatting behavior discrimination of millimeter-wave radar signals, this invention can improve the accuracy of human squatting behavior analysis while ensuring the privacy of human behavior analysis.

The application provides a method and device for measuring the depth of underwater concrete spalling defects, and relates to the technical field of concrete detection. The method comprises the following steps: obtaining an optical image and a sonar image of the spalling defects on the surface of the target underwater concrete; extracting the boundary contour of the spalling defects in the optical image and performing circular or approximately circular equivalent fitting; extracting the acoustic response area corresponding to the spalling defects in the sonar image and performing elliptical fitting; calculating the interval result of the ratio of the depth to the equivalent radius; and calculating the depth interval of the spalling defects. The application fuses two different types of information, i.e. the optical image and the sonar image, overcomes the limitations of a single image in reflecting the characteristics of underwater concrete spalling defects, and through circular or approximately circular equivalent fitting and elliptical fitting, the depth interval of the spalling defects is obtained, which provides a more reasonable reference range for engineering decision-making and has higher practical value.

This invention discloses a welding device for automotive rear axle housings, belonging to the field of rear axle housing welding technology. It includes a base, with a chuck fixing seat fixedly mounted on one side of the top of the base. A stepper motor is fixedly mounted inside the chuck fixing seat, and the output end of the stepper motor extends out of one side of the chuck fixing seat and is fixedly connected to an electric chuck. By setting the chuck fixing seat and the internal stepper motor and electric chuck on the top of the base, and cooperating with the first electric telescopic rod, rotating seat, and clamping sleeve on the clamping frame, precise clamping of both ends of the rear axle body is achieved. Simultaneously, the two third electric telescopic rods and the pre-clamping frame in the pre-clamping mechanism pre-position and support the middle section of the rear axle body, forming a three-point positioning structure of "fixed ends + middle section support." This structure significantly improves the positioning accuracy and stability of the rear axle body, effectively reduces welding deformation, and improves the quality of the welded joint and the overall strength of the rear axle housing.

The utility model relates to exhaust skylight technical field especially a kind of roof system skylight, including the base of being fixed on metal roof by installation component, the top of the base is rotatably provided with round skylight by rotating installation component, round skylight is rotatably installed by rotating installation component, so that when air inlet and wind direction are inconsistent, wind baffle side is blown by wind and drives round skylight to rotate until wind baffle and wind direction are parallel, air inlet and wind direction are consistent, to reach the effect that air inlet can change along with wind direction change, so that airflow can enter air inlet with optimum angle faster and more fully, ventilation effect is better and more fully.