23results about How to "Accurate quantitative analysis" patented technology

The invention discloses a correction method of PCR (Polymerase Chain Reaction) preference, a DNA (Deoxyribose Nucleic Acid) artificially synthesized sequence combination of a TCR-beta immune repertoire, a primer combination for amplifying the TCR-beta immune repertoire, a quantitative analysis method of the TCR-beta immune repertoire of a gDNA sample, a detection kit and application of the detection kit. The PCR preference correction method can effectively correct the preference generated in the PCR amplification process, the DNA artificially synthesized sequence combination can effectively adjust the primer concentration ratio of the multiple PCR primer combination, and the primer combination can efficiently and quantitatively amplify a TCR-beta immune repertoire without mutual interference as much as possible. According to the method, the immune repertoire can be accurately and quantitatively analyzed at the DNA level.

The invention discloses a method for researching a Tarim red deer population spatial distribution pattern in the field of animal ecology. The method comprises the following steps: step 1, analyzing Tarim red deer wild population distribution characteristics; 2, analyzing forest environment characteristics of the Tarim red deer wild population habitat; 3, analyzing the spatial correlation between the Tarim red deer wild population distribution and the biological environment factors; step 4, tracking and analyzing the motion trail of the Tarim red deer; 5, analyzing the influence of habitat space distribution and abiotic factors on Tarim red deer wild population distribution; and step 6, evaluating habitat suitability of the Tarim red deer wild population. The method is reliable and accurate, and provides data support for construction of a Tarim red deer wild population protected area in the future by analyzing a Tarim red deer wild population space distribution pattern and habitat forest environment characteristics, using the unmanned aerial vehicle to track a motion trail of a red deer group, evaluating habitat suitability of a habitat and evaluating a potential suitable area of the habitat.

This application discloses a flexible light-emitting sensor, its fabrication method, and its application in the non-destructive detection of mercury ions, belonging to the field of sensor materials and detection technology. The technical solution of this application introduces phycocyanin as a functional crosslinking agent into a polyacrylamide (PAAM) network. The prepared phycocyanin-polyacrylamide (PC-PAAM) hydrogel combines the structural stability of polyacrylamide with the fluorescence properties and chemical reactivity of phycocyanin. This gel, within a soft and biocompatible monomer network, integrates strong responsive fluorescence, intrinsic antioxidant protection, and excellent underwater adhesion, achieving direct fingertip contact surface sensing with a synergistic mechano-optical effect. Furthermore, by combining a machine learning model trained based on hydrogel fluorescence images, it can further support precise, portable, and visualized quantitative analysis of mercury ion pollution using smartphone imaging technology.

The invention provides a simulation device for simulating gas leakage of sulfur hexafluoride. The simulation device for simulating gas leakage of sulfur hexafluoride comprises a simulation part, the simulation part comprises a first shell, a second shell and a first connecting piece, the first shell is provided with a first area, the second shell is provided with a second area, and the first connecting piece is used for connecting the first area and the second area; the first connecting piece is configured to be capable of adjusting the distance between the first area and the second area so that a leakage channel communicating with the gas cavity can be formed. The gas inlet part is used for introducing gas for detection into the gas chamber; a distance measuring part provided on at least one of the first housing and the second housing, the distance measuring part for detecting a distance between the first region and the second region; and a detection unit for detecting the concentration of the detection gas in the leak path. According to the technical scheme, the problem that the gas leakage rate of sulfur hexafluoride is difficult to quantitatively simulate in the prior art is solved.

The invention belongs to the technical field of biological detection, and relates to a PCR (Polymerase Chain Reaction) primer combination for detecting mycoplasma and application of the PCR primer combination, an upstream primer sequence of the PCR primer combination is as shown in SEQ ID NO.1, and a downstream primer sequence of the PCR primer combination is as shown in SEQ ID NO.2. When the PCR amplification primer combination is used for detecting mycoplasma, the specificity is high, the sensitivity is high, the pollution can be accurately detected under the mycoplasma DNA concentration as low as 0.5 ng / mu L, and meanwhile, the PCR amplification primer combination has the potential of high-throughput screening. A reliable and efficient technical means is provided for conventional mycoplasma detection, a mycoplasma detection kit prepared from the PCR primer combination can detect the most common mycoplasma in cell culture in a laboratory, and the PCR primer combination has the advantages of being high in specificity and sensitivity and wide in detection range and has good application prospects. The method has important application value for biomedical research and biotechnology industry.

The application discloses damaged mitochondria as a malignant tumor metastasis prediction marker, and an application and detection system thereof, and is used for solving the problems of lacking specific prediction indexes and efficient and feasible prediction means for predicting malignant tumor metastasis in the prior art. The application rapidly enriches mitochondria from a to-be-detected plasma sample, detects the concentration of the prediction marker damaged mitochondria, and predicts the malignant tumor metastasis risk of a patient corresponding to the to-be-detected plasma sample based on the concentration of the prediction marker damaged mitochondria, so that whether the tumor patient will have metastasis in the future can be simply, rapidly and accurately predicted.

The application provides a heat storage performance attenuation reason tracing method of a particle energy storage system, and belongs to the technical field of particle energy storage systems.The application uses molecular dynamics simulation to analyze the heat conduction mechanism at the molecular scale and establish an attenuation model, uses a discrete element method to simulate the inter-particle contact heat transfer behavior to construct a particle scale attenuation model, establishes a system scale heat transfer mathematical model based on the continuum mechanics theory, uses the encoder-decoder architecture of the heat conduction prediction model to realize multi-scale coupled heat transfer attenuation prediction, adjusts the model parameters by comparing the measured data and the prediction results, establishes a heat storage performance attenuation reason discrimination matrix and uses recursive feature refinement processing to determine the dominant attenuation mechanism, and formulates a corresponding performance repair strategy according to the attenuation mechanism type, thereby solving the technical problem that the root cause of the heat storage performance attenuation of the particle energy storage system cannot be accurately identified and traced.

The invention belongs to the field of analytical chemistry, and particularly relates to a method for determining 4-(4-amino-3-fluorophenoxy) pyridine-2-carboxylic acid methylamine and 2-chloro-5-aminobenzotrifluoride in a medicine, the determination method is a liquid chromatography, a C8 chromatographic column is adopted, a mobile phase A is selected from a phosphate solution, a mobile phase B is selected from a nitrile solvent, and gradient elution is carried out. The detection method has good specificity, repeatability and accuracy and high sensitivity, can effectively and accurately perform qualitative and quantitative analysis on the compound, and ensures safety and effectiveness of medicine quality.

The application relates to the technical field of intelligent interaction systems and automobile customer service marketing, and discloses a traffic automobile customer service marketing method and system based on a large language model, wherein the traffic automobile customer service marketing method based on the large language model comprises the following steps: collecting driver fixation point data by using an eye movement tracking algorithm to generate eye movement trajectory data sets; constructing a visual attention heat map to form a user attention distribution model; calculating multi-medium characteristic parameters to establish a medium characteristic model; using the large language model to generate and adapt personalized marketing content and output multi-medium compatible marketing information; realizing intelligent attention guidance according to the user attention distribution model, the medium characteristic model and the multi-medium compatible marketing information; and realizing accurate perception and quantitative analysis of the visual attention of the driver through the eye movement tracking technology, so that the marketing system can master the user focus points in real time, and the technical problem that a traditional interface cannot perceive actual user focus points is solved.

The invention relates to the technical field of biochemical detection, in particular to a sample pretreatment method, a method for detecting the ratio of 5-methylcytosine to cytosine and a kit. The sample pretreatment method comprises the following steps: providing a sample containing substances to be detected, wherein the substances to be detected comprise 5-methylcytosine and cytosine; the method comprises the following steps: mixing magnetic beads containing sulfonic acid groups with a sample, carrying out adsorption treatment, and then carrying out leaching treatment by using an alcoholic solution to obtain a to-be-detected substance-magnetic bead compound; eluting the to-be-detected substance-magnetic bead compound by using the eluent to obtain a to-be-detected sample; the eluent comprises at least one of a formic acid-alcohol solution and an ammonia water-alcohol solution. The sample pretreatment method is simple in process and low in cost, the to-be-detected sample containing the 5-methylcytosine and the cytosine can be efficiently obtained, the ratio of the 5-methylcytosine to the cytosine can be accurately quantified in a high-sensitivity mode on the basis of the electrospray high-efficiency ion mobility spectrometry technology subsequently, and the method has good application prospects.

The present invention relates to the technical field of large-scale cultivated land soil element analysis, and in particular to a data screening and multi-element quantitative analysis method based on calibration-free LIBS technology. In the long-term monitoring of excessive heavy metals and imbalance of trace elements in high-standard farmland, a large amount of spectral data will be generated during the LIBS detection of large-scale soil elements, most of which are invalid data due to the influence of matrix effects such as soil moisture and density and differences in detection conditions, resulting in problems such as long data transmission time, poor result accuracy and low analysis efficiency. The present invention uses a box plot to scientifically screen spectral data. For soil samples from different environments, the spectral data of [Q1, Q3] is judged to be valid, and the others are outliers, so as to achieve the screening of at least one-third of invalid data; the spectral data after data screening is quantitatively analyzed by the calibration-free LIBS method, and the results are corrected by metal elements of known concentrations to achieve improved detection accuracy.

The invention belongs to the technical field of urban rail system safety analysis, and particularly relates to a universal safety platform risk analysis method, system and device and a storage medium, and the method comprises the steps: determining an output error of a universal safety platform system as a top event; distributing the safety integrity requirement of the top event to a safety function for protecting the top event; analyzing the failure mode of the safety function to construct a fault tree; simplifying the fault tree, and determining the structural importance and key risk factors of the basic events in the bottom events; according to the key risk factors and the MTBF, the fault rate of each bottom event is calculated, and the occurrence probability of the top event is obtained according to the fault rate. According to the method, the fault tree model accurately reflecting the system risk logic is constructed by combining the actual situation of the general safety platform, the key risk factors in the general safety platform are more comprehensively identified and quantitatively evaluated, and therefore powerful support is provided for safety management and risk prevention of the urban rail system.

The utility model relates to agricultural disease sampling technical field, concretely discloses a kind of sampling device for agricultural disease identification, including base, the upper portion of base is connected with the spacing adjustable pressure bar, the end of pressure bar is equipped with detachable cutting cylinder, one end of base is connected with rotatable backing plate, the upper end of backing plate is equipped with supporting block, cutting cylinder and supporting block cooperate cutting blade sampling, sample is stored in cutting cylinder, and top block that sample is pushed out is equipped in cutting cylinder;The utility model adopts the intuitive linear operation mode of "grasp-cut-push", greatly reduces the labor intensity and training cost of operator, simplifies operation process, significantly improves operation efficiency and convenience;Simple structure, clean fast, solve the problem that it is difficult to clean thoroughly due to complex structure, avoid cross contamination, guarantee the authenticity of sample and detection.

The application discloses a kind of chip surface submicron dirty spot half-supervised automatic positioning method, comprising: S1, chip surface image is shot;S2, rough positioning: construct double memory bank driven semi-supervised AE defect positioning network, quickly resolve the two-dimensional center coordinates and radius of dirty spot;S3, fine positioning: the rough positioning area of dirty spot is carried out high-density depth data acquisition;S4, dirty spot three-dimensional model construction: the accurate depth value of each dirty spot is fused with the two-dimensional coordinate in rough positioning, and the high-precision point cloud model of micro dirty is generated.The method constructs double memory bank driven semi-supervised AE defect positioning network and based on galvanometer scanning image field telecentric spectral confocal detection system, effectively solve the detection problem caused by the scarcity of micro dirty sample in industrial scene, break through the bottleneck of low efficiency of traditional full-field scanning, realize the efficient, accurate three-dimensional reconstruction and quantitative analysis to the geometry appearance of chip surface submicron dirty.

The invention discloses a hydrogen leakage diagnosis method and device based on multi-modal information combination, and relates to the technical field of industrial safety monitoring and fault diagnosis, and the method comprises the steps: determining whether hydrogen concentration data exceeds a set concentration threshold value or not; if the hydrogen concentration data exceeds a set concentration threshold value, acquiring multi-modal information data in real time; if the hydrogen concentration data does not exceed the set concentration threshold value, processing is not carried out; determining an acoustic confidence map, an optical confidence map and an infrared confidence map; determining a fusion weight parameter based on the environment information data and the memory cell bank, and further obtaining a fusion confidence map and a weighted fusion feature vector; determining a hydrogen leakage position based on the fusion confidence map; adopting a multi-output neural network regression model to obtain hydrogen leakage quantitative parameters based on the weighted fusion feature vectors; and updating the memory cell bank based on the environmental information data, the hydrogen leakage position and the hydrogen leakage quantitative parameter. The accuracy, reliability and long-term stability of hydrogen leakage diagnosis can be improved.

The invention discloses a method for analyzing building space design by using VR to collect fixation points, a three-dimensional model matched with a real building space is established, a VR scene is established, when experimenters visit in the VR scene, the fixation sight lines of the experimenters are collected through VR equipment, the intersection points of the fixation sight lines and the VR scene are calculated, and the interaction points of the fixation sight lines and the VR scene are calculated. According to the method, the observation points of the experimenters on the interior landscape of the building are obtained, the observation duration is counted, finally, the observation points of all the experimenters and the corresponding observation duration are mapped and visualized, a visual visualization result is obtained, and the building space design can be evaluated accurately, clearly and visually. According to the method, stability and consistency of the space coordinate system are guaranteed in the analysis process, the collected fixation point is matched with the building space, the fixation point also corresponds to the building space, and the association between the analysis result and the building space is more visual.

The invention relates to an in-situ analysis device and method for imbibition and retention characteristics of coal shale fracturing fluid. The device comprises a high-pressure gas drive system, a core holder, a fracturing fluid conveying and injecting system, a precise weighing device and a liquid recovery device, and the high-pressure gas drive system and the fracturing fluid conveying and injecting system are connected with an inlet in one end of the core holder through pipelines respectively. A first liquid chromatograph is connected in series on a pipeline for connecting the fracturing fluid conveying and injecting system and the rock core holder, an outlet at the other end of the rock core holder is connected with a weighing container placed on precise weighing equipment through a pipeline, the bottom of the weighing container is connected with a liquid recovery device, and a second liquid chromatograph is connected in series on the pipeline; a heating device and a low-field nuclear magnetic resonance spectrometer are arranged outside the core holder, and an inner cavity of the core holder is connected with an annular pressure pump. The method has the advantages that the change of chemical components of the fracturing fluid in the sample before and after imbibition and reverse drainage of the fracturing fluid can be accurately and quantitatively analyzed.

The invention discloses an analysis method for establishing typical steroid female excitation in a water environment based on solid-phase extraction, which comprises the following steps: S1, optimizing a sample pretreatment condition, and reducing or eliminating the influence of a highly complex matrix in a water body on extraction; s2, respectively selecting different solid-phase extraction columns and different organic solvents as leacheate, and finally optimizing the pretreatment conditions through the recovery effect of the standard substance; s3, enabling the standard substance to pass through different types of analytical columns; and S4, optimizing by using a mass spectrum, exploring optimal mass spectrum conditions of parent ions, characteristic ions, cracking voltage and collision energy of typical SEs, and establishing an analysis method. The pretreatment method disclosed by the invention is simple, does not need a derivatization step, is high in automation degree, has the advantages of accurate quantitative analysis of SEs components, high sensitivity and the like, and realizes automatic and high-throughput analysis of different types of SEs.

The application discloses an ultrasonic uterine junction zone evaluation system, and the subjective process is converted into objective mathematical calculation through image processing and computer vision algorithm. Specifically, after the image quality is optimized by using anisotropic diffusion filtering and CLAHE algorithm, a hybrid segmentation technology based on edge detection and three-dimensional region growth is adopted to accurately extract a three-dimensional geometric model of JZ. On this basis, the integrity of JZ is quantified by defining and calculating a core parameter, namely, continuity index (CI). The algorithm samples along the center line system of JZ, analyzes the mutation of the local width of adjacent points, and accurately represents the continuity degree of the ring structure by using a mathematical proportion (CI value).

The application provides a CT image-oriented interactive three-dimensional reconstruction and classification method, device and equipment, relates to the technical field of image classification, and the method comprises the following steps: inputting a plurality of second CT images into a general volumetric medical image segmentation model for interactive segmentation, performing three-dimensional reconstruction on a target mask obtained to obtain a first target model; the smoothness of the surface of the first target model is optimized based on a geodesic active contour method, and a target region of a second target model is extracted; volume measurement is performed on the target region to obtain volume data information to classify the plurality of second CT images. The application uses a general volumetric medical image segmentation model to perform interactive segmentation on a plurality of second CT images, in order to improve the accuracy of model calculation, the application optimizes the smoothness of the surface of the first target model based on a geodesic active contour method, and the volume size of a target region representing lesion information is calculated based on the second target model to perform accurate classification.

The invention discloses a medical image segmentation method and system based on a Perturbb-and-Denoise regularization framework, and belongs to the field of medical image processing. According to the invention, the precision and reliability of medical image segmentation can be effectively improved. By performing intelligent disturbance and structural perception denoising on a filter base, the adaptive capacity of the isovariant convolutional network to noise and an image complex structure is enhanced, so that clearer and more continuous segmentation boundaries are obtained on biomedical images with rich details such as electron microscope images and the like. According to the method, the generalization performance of the model under cross-sample and cross-data conditions is improved, meanwhile, the integrity of edges and fine structures is kept, and finally more accurate and robust technical support is provided for quantitative analysis of neuroscience and cellular levels.

The invention discloses a fabricated wall non-uniform heat transfer analysis method based on infrared image segmentation. The method comprises the following steps: S1, taking a splicing seam as a center, and obtaining a group of fabricated wall body infrared images through an infrared thermal imager; s2, carrying out preprocessing operation on the obtained infrared image, and segmenting the preprocessed image by utilizing an improved Gaussian mixture model algorithm; s3, training an improved Res-UNet network in combination with an improved joint loss function based on segmented image data, identifying and segmenting a non-uniform heat transfer area of the fabricated wall infrared image, and obtaining feature parameters such as infrared temperature and pixel points; s4, for the infrared temperature, calculating a non-uniform heat transfer evaluation index by using the identified characteristic parameters; and S5, representing the calculated non-uniform indexes and analyzing the non-uniform heat transfer condition of the fabricated outer wall. According to the method, accurate identification and more accurate evaluation analysis of the heat transfer non-uniform area of the fabricated building wall are realized.

The invention discloses a special inclined plate flushing management system for fluorine removal, particularly relates to the field of fluorine-containing wastewater treatment, is used for solving the problem of accumulation of fine flocs in an inclined plate sedimentation tank, and is used for identifying potential risks in the early stage of accumulation by monitoring water quality fluctuation characteristics in real time and generating a preliminary signal; therefore, water quality degradation caused by the fact that accumulation is not found in time is avoided. And through quantification of the accumulation degree index, cleaning parameters can be dynamically set according to actual conditions, the flow speed, the direction and the duration of cleaning water are accurately adjusted, and resource consumption and equipment abrasion are reduced while fine flocs are effectively removed. The accumulation recognition threshold value is optimized through the water quality recovery rate and fluctuation frequency feedback after cleaning, and the self-adaptability to different accumulation stages is enhanced. The sedimentation effect and the operation stability of the inclined plate sedimentation tank are remarkably improved, the cleaning frequency is reduced, the maintenance cost is reduced, and the service life of equipment is prolonged, so that the overall benefit of fluorine-containing wastewater treatment is greatly improved.