27results about How to "Effective expansion" patented technology

The utility model relates to a kind of LED epitaxial structures, comprising: substrate;N type layer;Active layer is located on N type;P type layer, located on active layer;Wherein, the P type layer includes P type window layer, P type window layer includes several first laminated structure, each first laminated structure includes the GaInP layer, first GaP layer and second GaP layer of sequentially laminated, the P type doping concentration of second GaP layer in each first laminated structure is greater than the P type doping concentration of first GaP layer.The GaInP layer of the utility model has higher band gap, plays the role of optical window layer, can reduce light absorption loss;GaP has lower band gap, first GaP layer and second GaP layer play the role of buffer layer / transition layer, so the combination of GaInP layer, first GaP layer and second GaP layer realizes the balance of band matching and carrier transport efficiency, conducive to the efficient extension of current.

The application discloses a folding method of a side airbag of a car seat, which comprises the following steps: step 1, laying the side airbag; step 2, folding the upper part of the airbag to the passenger side, and then folding the upper part upward to form a Z-fold; step 3, inserting the lower end of the airbag into a fold to form an inner plug structure, at this time, the airbag is folded into a long strip shape; step 4, laying the long strip-shaped airbag, and folding the X-direction front part of the airbag to the passenger side direction; step 5, continuing to fold the X-direction rear part of the airbag to the root of the gas generator in a Z-fold manner; and step 6, wrapping a cloth around the outer periphery of the folded airbag to maintain the shape. The application has a good guiding effect on a large amount of gas generated by the gas generator, can effectively guide the gas to rapidly inflate to the dummy arm direction, makes the airbag unfold to the passenger side of the dummy and be filled with the gas, and realizes the function of rapidly lifting the arm of the dummy.

The invention relates to a tumor-related DNA methylation marker combination, which is selected from at least one of the following: a target sequence as shown in SEQ ID NO: 1-SEQ ID NO: 10, a nucleic acid fragment with the length of at least 15 oligonucleotides or a complementary nucleic acid fragment thereof, and the nucleic acid fragment comprises at least one methylation site indicated by CG. The invention also relates to a detection kit for the methylation marker combination. According to the invention, the combination of the co-methylation states of a plurality of specific methylation regions is used for distinguishing and analyzing the occurrence of tumors, especially kidney cancer, the specific methylation combination has high sensitivity for distinguishing the occurrence of kidney cancer, and the detection method is simple, convenient and feasible. The primer pair combination of the kit overcomes the defect of false positive caused by detection mismatch of a single methylation site in the aspect of primer sequence design, and the interaction between a plurality of methylation biomarker primers and probe pair combinations is considered.

The utility model discloses a square drawing die internal rotary cutting device which comprises an operation box, an opening and closing door is installed on the front side of the operation box, a containing plate is connected to the top of an inner cavity of the operation box through bolts, and a containing groove is formed in the middle of the top of the containing plate. Electric jacks are connected to the positions, close to the left side and the right side, of the top of the containing plate through bolts correspondingly, a through hole is formed in the top of the operation box, and the top ends of the electric jacks penetrate through the through hole and are connected with a butt joint plate through bolts. According to the technical scheme, through mutual cooperation of a rotating plate, an arc-shaped groove, a round rod, a rectangular groove, a translation plate, a butt joint rod and other parts, a rotary cutter can be effectively expanded, so that the rotary cutter can adapt to molds of different specifications, the application range and the use efficiency of the rotary cutter are improved, the rotary cutter can be effectively swung, and the use effect of the rotary cutter is improved. Therefore, effective rotary cutting can be carried out, and the rotary cutting efficiency and the working efficiency are improved.

The invention discloses a sample enhancement method and system based on multi-source data, belongs to the technical field of data processing, optimizes recognition of sample data based on the multi-source data, and provides recognition based on multi-dimensional behaviors, recognition based on attention relationships and recognition based on attention point locations. According to the method, suspected sample data mining based on multi-dimensional features and multi-dimensional relationships is realized, weighted integration of multiple sub-models is constructed in an ensemble learning form, the discovering capability of suspected sample data is improved, an adaptive iterative optimization mechanism of the model is constructed, and the precision ratio of the sub-models is checked regularly, so that the weighted integration mechanism is optimized automatically, and the discovering capability of the suspected sample data is improved. The self-adaptive related service sample discovery capability is realized, the border intelligent prevention and control capability is greatly improved, and more effective sample data expansion is provided.

The application provides a reduced-order unified modeling method, system, computer program product and device for electromagnetic small disturbances of a new energy system and a computer readable storage medium, and belongs to the technical field of new energy system modeling. D Q The application establishes a power network differential equation set in the electromagnetic scale under the common D Q coordinate system; a full system state space model is constructed; independent state variables and redundant state variables are identified through a method of traversing system nodes, differential and algebraic equation sets in the full system state space model are separated, a differential equation corresponding to the independent state variables of the system is constructed; based on the differential equation of the independent state variables, a full system differential-algebraic equation is obtained, and the full system differential-algebraic equation is further eliminated to obtain an ODE form of the full system state space model containing only the independent state variables, thereby laying a foundation for stability analysis of a large-scale new energy power system.​​

The application provides a thrombus removing support and system, and relates to the technical field of medical devices.The thrombus removing support comprises a support and a basket supported on a distal end section of an elongated operating rod, the support and the basket both have an expanded state relative to an initial state, the support comprises a frame body, the frame body has a shape expanded into a cage structure, and the frame body is used for cutting or scraping a thrombus; the basket comprises a rib and an aperture, and the basket is used for intercepting or capturing a free thrombus; a radial supporting force of the support is greater than a radial supporting force of the basket, or a radial supporting capacity of the support is greater than a radial supporting capacity of the basket; the thrombus removing support in the scheme combines the functions of cutting and capturing, and can process different types and states of thrombus in one operation.

The invention discloses a method for promoting fundus blood circulation based on heat, and relates to the technical field of physical therapy, the method for promoting fundus blood circulation based on heat comprises the following steps: obtaining an eye treatment area and a first blood perfusion amount and a current temperature of the eye treatment area; obtaining a heating temperature according to the current temperature; the eye treatment area is heated according to the heating temperature, vibration with preset pressure or preset frequency is applied to the eye treatment area, and accurate and controllable heat is applied to the eye treatment area, so that periorbital capillary vessels and micro arteries can be safely and effectively expanded, and the eye treatment area can be effectively heated; the blood perfusion speed and perfusion amount of fundus tissues are remarkably increased, so that uncomfortable symptoms such as asthenopia and dryness are quickly relieved, and an auxiliary treatment means can be provided for chronic fundus diseases such as diabetic retinopathy.

The application provides a parallel computing method for gas-solid simulation, which comprises the following steps: forming a geometric boundary as a solid by building a plurality of static geometric shape units according to a multiphase complex boundary condition; setting an initial state of a system to be simulated, and adopting a spherical or ellipsoidal particle model for a gas particle; performing spatial decomposition on the system to be simulated to obtain a plurality of sub-regions, each of which comprises an interior and a boundary, the interior is simulated by a hard sphere, and the boundary is simulated by a pseudo-particle, each of the sub-regions is divided into a plurality of grids, a mapping relationship between the particles and the grids is established, and the geometric boundary in each of the grids is calculated; within a set time step, updating particle information based on event driving and in view of particle collision in the interior of each of the sub-regions and particle collision between the particles and the geometric boundary; updating the particle information based on time driving and in view of particle collision on the boundary of each of the sub-regions and particle collision between the particles and the geometric boundary; and outputting a simulation result.

The invention discloses a dynamic culture amplification method of NK cells or engineered derivatives thereof, and belongs to the technical field of biology. The method comprises the following steps: sorting peripheral blood to obtain NK cells; mixing the culture medium with K562 feeder cells according to a first proportion, and carrying out first co-culture activation and amplification; optionally, carrying out CAR (chimeric antigen receptor) gene transduction; mixing the amplified NK cells or the transduced cells with K562 feeder cells according to a second proportion, and carrying out secondary co-culture activation and continuous amplification under a dynamic culture condition; and finally, the NK cells or the CAR-NK cells are obtained. The method breaks through the limitation of traditional standing co-culture, realizes efficient and stable amplification of NK / CAR-NK cells under dynamic conditions, has the advantages of high amplification efficiency, high cell viability and purity, simplified operation and easy large-scale amplification, and provides a new technical scheme for preparation of immune cell therapy products.

This invention relates to the field of biomedical detection technology, specifically to a multiplex TMA-CRISPR detection kit for respiratory pathogen RNA and its application. This invention solves the problems of weak sensitivity and signal recognition issues in existing multiplex detection based on direct RNA amplification technology and CRISPR multiplex detection. Firstly, by screening specific TMA primers and crRNA for IAV, IBV, RSVA, and RSVB, and optimizing the TMA-CRISPR system with specific enzyme ratios and buffers, and combining TMA amplification with Cas12a2 lateralization activity, the constructed multiplex TMA-CRISPR kit can achieve 10 copies / μL RNA detection within 40 minutes. Clinical detection results are highly consistent with qRT-PCR and are more sensitive, making it suitable for rapid multiplex diagnosis of respiratory pathogens.

This invention provides a medical image analysis method and system based on multi-agent visual-language debate, relating to the fields of artificial intelligence and medical information technology. The method first utilizes multiple prompt-driven multimodal large-scale intelligent agents to independently generate multiple different initial image descriptions. Then, through an iterative debate process with structured memory coordinated by a large language model, these initial image descriptions are cross-validated and fused to suppress illusions, strengthen consensus, and ultimately extract high-quality consensus-based semantic descriptions. Finally, through a learnable multi-level visual-semantic fusion analysis model, this semantic description is dynamically injected into the visual feature extraction process, guiding the model to focus on key features, thereby improving the accuracy and robustness of image analysis. This method does not require task fine-tuning of the multimodal large-scale model, avoids dependence on labeled data, and has a high degree of automation and task versatility.

The invention provides a code retrieval data generation method and device and a code retrieval method and device, and relates to the technical field of computers.The method comprises the steps that basic code data and a plurality of preset retrieval scenes are obtained; respectively combining the basic code data with each retrieval scene to generate a plurality of pieces of first code retrieval data; and rewriting the first code retrieval data in at least one mode of replacing the basic code data, replacing the retrieval scene and replacing the language type to generate second code retrieval data. According to the embodiment, combination and rewriting are carried out on the basis of the preset retrieval scene and the basic code data, and the high-quality code retrieval data capable of being used for model training is obtained. Specifically, code rewriting is carried out on the basis of various modes of basic code data, retrieval scenes and language types, code retrieval data can be effectively expanded, and the number of samples of the code retrieval data is greatly increased.

The invention relates to a vector network analyzer frequency expander, system and measurement method, and the system comprises an ultra-wideband switch which is provided with a control port, a common port, a first channel port and a second channel port; the input end of the first bi-directional coupler is used for receiving a first low-frequency-band radio frequency signal from the vector network analyzer host, and the straight-through end of the first bi-directional coupler is connected to the first channel port of the switch; and the input end of the high-frequency spread spectrum module is used for receiving a second low-frequency-band radio frequency signal from the vector network analyzer host, and the output end of the high-frequency spread spectrum module is connected to the second channel port of the ultra-wideband switch. According to the frequency expander, the 67-110 GHz spread spectrum module and the 10 MHz-110 GHz switch are integrated, broadband coverage from 10 MHz to 110 GHz is achieved, a network analyzer host can support S parameter testing in an ultra-wide frequency range, and the testing frequency range and the application scene are remarkably expanded.

The utility model relates to a kind of municipal road bridge pile expanding device, including ring body, the inner wall of ring body is equipped with several evenly distributed perforation, expansion plate is arranged in the perforation, several the one end of expansion plate far from each other passes through perforation, and extend to the outside of ring body and be connected with pile expanding cutter, the bottom side of several the expansion plate is respectively connected with connecting rod by pivot and bearing swing, the top side of several the connecting rod is connected with the same rotating plate by pivot and bearing swing.The technical scheme is cooperated by ring body, connecting rod, expansion plate, rotating plate and other components, so that it can effectively expand pile expanding cutter, so that it can adapt to different specifications and sizes of pile expanding, thereby improving its application range and use efficiency, and can effectively suck dust during pile expanding, so that it can effectively prevent dust splashing from polluting the environment, improve its work efficiency and safety.

The application discloses a molecular marker primer for a narrow cod and application thereof, and relates to the technical field of molecular biology markers. The primer combination is composed of three pairs of primers, namely, GC6:TC14, GC8:GT15 and GC9:TG9, and the sequences of the primers are shown as SEQ ID NO. 1-6. The application develops, for the first time, the STR molecular marker primer combination specially used for sea area source identification of the narrow cod. Compared with the microsatellite marker used only for the population genetics basic research of the narrow cod in the prior art, the primer combination is optimized through multi-stage screening, can effectively distinguish the narrow cod samples from the Okhotsk Sea FAO 61 sea area and the Bering Sea FAO 67 sea area, and fills the technical blank in the sea area tracing field of the cross-border trade of the narrow cod.

This invention relates to the fields of image processing and artificial intelligence, and particularly to a few-shot object detection method based on support feature diffusion generation. The method includes steps such as constructing a few-shot object detection base class meta-learning training set and grouping image data within the training set. This invention introduces a support feature diffusion generation module, applying a diffusion model to the generation and optimization of support features. During the training phase, the inverse process of adding noise to features is learned, enabling the model to recover robust support feature representations from noise. During the testing phase, through progressive reverse diffusion, a more stable and diverse set of support features can be generated from a small number of support samples, effectively mitigating the feature instability and overfitting problems caused by few samples.

The present application belongs to the field of data acquisition, and relates to a gearbox gear detection equipment detection data acquisition method and system. The method comprises the following steps: collecting gearbox vibration and synchronous speed signals, dividing the vibration signals into frames, and performing noise reduction processing on each frame; estimating the composite noise spectrum based on the synchronous speed signal and harmonic analysis, combining the time-frequency kurtosis to adaptively select a multi-window function to calculate the noisy power spectrum, using the transient characteristics and prior signal-to-noise ratio to determine the nonlinear subtraction factor, performing spectral subtraction to obtain the target power spectrum, comparing the deviation of the actual meshing frequency and the theoretical value to dynamically determine whether to reconstruct the phase spectrum; and reconstructing all processed data frames by overlapping addition to obtain the detection signal. The present application can comprehensively suppress harmonic and random noise, and conditionally reconstruct key phase information, thereby improving the recognition degree and diagnostic accuracy of early weak fault features of the gearbox.

The utility model relates to the technical field of hydraulic engineering, and discloses an environmental adaptation retaining dam for hydraulic engineering, which comprises two water retaining blocks, a U-shaped plate is fixedly connected between the adjacent water retaining blocks, the top of each water retaining block is fixedly connected with a U-shaped frame, the rear side of the top of each water retaining block is fixedly connected with a support frame, and the U-shaped frame is fixedly connected with the rear side of the top of each water retaining block. A motor is fixedly connected to the middle of the top end of the supporting frame, a rotating shaft is fixedly connected to the output end of the motor, the front end of the rotating shaft is rotationally connected with the top of the rear side of the U-shaped frame, a protection disc is fixedly connected to the outer wall of the rotating shaft, and a steel wire rope is fixedly connected to the bottom of the rotating shaft. According to the water purification device, the motor drives the rotating shaft to rotate, the rotating shaft rotates to drive the steel wire rope to be wound, and therefore the collecting frame is driven to move upwards along the inner wall of the U-shaped plate, impurities are taken up to be cleaned, residues of the impurities in water are reduced, the water quality can be kept clean, and the impurities are prevented from repeatedly circulating in water flow to pollute the water body.

The application discloses a lane line detection model inference optimization method trained by generalization data, and the main design concept of the application is that a lane line identification scheme of association learning+time sequence control is proposed based on a deep learning vision model. Specifically, in the training stage, the vision generation model is used to repair abnormal lane line pictures and predict rare or difficult-to-catch lane line pictures, so that the accuracy and efficiency of lane line labeling are improved in a man-machine coupling manner; in the actual inference stage, the time sequence concept is introduced, the mechanism for evaluating the detection result is proposed by combining the time sequence information of the front and rear frames. The application effectively enhances and generalizes the training data of the detection model, and improves the robustness and accuracy of the lane line detection result, so that many problems of lane line identification in automatic driving application can be solved.

The utility model discloses an all-in-one lock control board applied to an intelligent cabinet, which relates to the field of intelligent cabinets and comprises a main control module, a communication module, a power supply module, an electronic lock control module, an input / output interface module and an expansion module, the main control module is in communication connection with the intelligent cabinet host or slave through the communication module; the overvoltage protection module is in communication connection with the power supply module through the communication module and sends an overvoltage protection threshold signal to the power supply module; the power supply module supplies power to the main control module; the electronic lock state of each channel is detected through the electronic lock control module and is sent to the intelligent cabinet host; the electronic lock control module receives control signals of the intelligent cabinet host and controls opening and closing of the electronic locks of the channels through the electronic lock control module. And external equipment is connected through the expansion module and the expansion module. And the electronic lock control module is electrically connected with the electronic lock of the corresponding channel through the input / output interface module. According to the utility model, the universality of the lock control board is improved, and the maintenance cost and the time cost caused by non-universality of the lock control board are reduced.

This invention belongs to the field of medical device technology, and specifically relates to a three-stage dilatation balloon for preventing contrast agent leakage. Addressing the problem that existing three-stage dilatation balloons rupture when the operating pressure exceeds the rated burst pressure, resulting in the instantaneous leakage of high-pressure contrast agent into the patient's body, leading to embolism or tissue damage, the following solution is proposed: an outer balloon body, an inner balloon body, a mesh reinforcement layer, a sheath, and a decompression balloon. The inner balloon body is located inside the outer balloon body, and the ultimate expansion diameter of the outer balloon body is larger than that of the inner balloon body. Both are made of different polymer materials, ensuring that the outer balloon body remains intact and forms a leakage-proof barrier when the inner balloon body ruptures. A mesh reinforcement layer is sandwiched between the inner and outer balloon bodies, and the intersection points of the mesh reinforcement layer are discretely connected to the outer wall of the inner balloon body via micro-anchors. This invention achieves automatic emergency storage and manual aspiration and removal of the contrast agent after balloon rupture, solving the safety problem of contrast agent leakage after overpressure rupture of existing balloons.

The application relates to an express cabinet equipment fault intelligent early warning and remote operation and maintenance method, which comprises the following steps: acquiring the physical topology connection relationship of a target express cabinet as domain knowledge constraint; performing time sequence cause and effect discovery based on the constraint to generate an initial health cause and effect diagram; fine-tuning parameters from a pre-constructed knowledge base according to a deployment scene to obtain a scene-adapted health cause and effect diagram; collecting data in real time and generating a real-time cause and effect diagram based on the same constraint; identifying abnormalities and early warning by comparing the graph structure difference between the real-time diagram and the scene-adapted health cause and effect diagram; after early warning, virtual intervention simulation can be carried out in digital twinning, and remote instructions are issued according to the results, and the model is updated according to the feedback. The application effectively improves the early warning accuracy and positioning accuracy of complex and intermittent faults, realizes predictive maintenance and remote closed-loop operation and maintenance, and significantly reduces operation and maintenance cost and equipment downtime.

This utility model discloses a dust suppression device for building construction, relating to the field of dust suppression technology. It includes a support column and connecting rods fixedly connected to one side of the column surface. One end of each of the two connecting rods is fixedly connected to a fixed rod. Both sides of the fixed rod's wall are rotatably connected to a swinging structure, which utilizes its own transmission effect to create a swinging characteristic. In use, the support column is installed in the area requiring dust suppression. A water supply pipe is then inserted into the top of the dust suppression spraying structure, allowing water for dust suppression to be delivered to the interior. Simultaneously, the swinging structure drives the dust suppression spraying structure to create a swinging spraying effect, effectively expanding the sprayed area in front of the device. This not only reduces the spray blind zone but also improves the dust suppression efficiency. Furthermore, the device's simple structure facilitates maintenance and adjustment.

The invention discloses a mesh belt module, a module mesh belt and a lifting and climbing system, and relates to the technical field of modular plastic conveyor belts, an arc-shaped groove is formed in a bearing surface of a module main body of the mesh belt module, the length direction of the arc-shaped groove is parallel to the length direction of the module main body, and a limiting hook foot is arranged on one surface, opposite to the bearing surface, of the module main body; the first connecting part is located on one side of the module body, the second connecting part is located on the other side of the module body, a first connecting hole is formed in the first connecting part, and a second connecting hole is formed in the second connecting part. The pin shafts of the module mesh belts penetrate through the first connecting holes of the mesh belt modules and the second connecting holes of the adjacent mesh belt modules to achieve connection of the mesh belt modules. The lifting and climbing system comprises two module net belts, the two module net belts are arranged in parallel, and the bearing faces of the two module net belts are oppositely arranged. The problem of slipping of goods can be solved, the goods can be effectively lifted and conveyed, and extrusion indentations during lifting and conveying are reduced.

The invention provides a super-resolution reconstruction method and system applied to a 0.35 T MRI image, and relates to the field of image processing. The method comprises the following steps: constructing a target training data set based on a FastMRI public data set; according to the target training data set, a lightweight Transform module and a CBAM attention module are adopted to establish and train a super-resolution reconstruction model; a composite loss function is constructed based on the perception loss, the pixel loss and the adversarial loss, and the composite loss function is adopted to optimize the super-resolution reconstruction model; obtaining a 0.35 T MRI image, dividing the 0.35 T MRI image into a plurality of image blocks, and performing recovery processing by using the super-resolution reconstruction model; fusing the restored image blocks by adopting an image fusion algorithm to obtain a target super-resolution image; according to the method, the resolution, details and texture information of the 0.35 T MRI image are remarkably improved, and more reliable image support is provided for clinical diagnosis.

This invention relates to the field of traffic system analysis technology, and more particularly to a method, system, device, and storage medium for optimizing complex WebGIS front-ends for traffic system analysis. The method constructs a WebGIS front-end data optimization framework for traffic system analysis, uniformly schedules geospatial data, and implements targeted optimizations at the levels of data transmission, data organization, data caching, and data rendering. It builds a dynamic component-based architecture based on the Vue.js progressive framework, enabling dynamic configuration and generation of traffic analysis functions through JSON configuration files. Simultaneously, it extracts the mapping requirements of traffic system analysis tasks, establishes a mapping relationship between general traffic symbols and preset mapping templates, and constructs a dual-engine rendering adaptation model based on style expressions and style container objects to achieve efficient visualization output of analysis results. This invention can improve the operating efficiency, scalability, and maintainability of WebGIS front-ends in traffic system analysis scenarios.