16results about How to "Accurate content" patented technology

The invention discloses an official document generation system and method based on a large model, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of low official document format and content accuracy, poor material failure and poor content innovation in official document generation. Comprising a model training module used for performing model training on an official document generation model based on official document samples in an official document sample library; the model fine tuning module is used for performing layered fine tuning on the trained official document generation model; the cue word optimization module is used for carrying out cue word matching on user input based on a built-in cue word set; the outline generation module is used for calling a final official document generation model to generate an official document outline based on the cue word combination and user input; and the official document generation module is used for calling the final official document generation model to generate and output an official document body based on the user input and the final official document outline, and calling the privacy data shielding module to shield the privacy data in the official document body.

The invention relates to the technical field of medicine production and detection, and particularly discloses a method for determining the content of paeoniflorin in radix astragali and cassia twig Wuwei decoction granules, which comprises the following steps: analyzing paeoniflorin by high performance liquid chromatography, and sequentially performing sample pretreatment, chromatographic analysis and content determination. An HP-20 resin column is adopted for pretreatment, ethanol with different concentrations is used for elution in sequence, and 50% and 70% ethanol eluents are collected and concentrated; a C18 chromatographic column is selected, an acetonitrile-0. 1% phosphoric acid aqueous solution is used as a mobile phase, a diode array detector is used for detection at the wavelength of 230 nm, and a multi-wavelength deconvolution algorithm is used for quantitative analysis. The determination method disclosed by the invention is high in specificity, stability, repeatability, intermediate precision, accuracy and the like all accord with regulations, and the durability of chromatographic conditions is relatively good.

The invention relates to the field of anti-autologous AchR antibody detection equipment, in particular to a method for efficiently detecting an anti-autologous AchR antibody, which comprises the following operation steps: S1, antigen coating: selecting a proper microwell plate, diluting an AchR antigen to a proper concentration by using a carbonate buffer solution, adding 100-200 [mu] L of an antigen solution into each well, then placing the microwell plate in a refrigerator at 4 DEG C overnight, and taking the microwell plate out of the refrigerator; the antigen can be fully adsorbed on the surface of the microwell plate; s2, closing the microwell plate: after overnight coating, pouring away the antigen solution in the microwell plate, washing the microwell plate with a washing solution for three times, soaking for 3-5 minutes each time to remove uncombined antigens, then adding 200-300 microliters of a sealing solution into each hole, incubating for 1-2 hours at 37 DEG C, and after incubation is finished; according to the invention, the anti-autologous AchR antibody is detected based on the highly specific binding reaction of the antigen and the antibody, and the layer-by-layer specific binding mechanism enables the ELISA to have high specificity on the detection of the target antibody, so that the interference caused by non-specific binding can be effectively reduced.

The invention discloses an LLM-based automatic table filling method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the steps of obtaining a to-be-filled table in a to-be-filled document, and recording the position of the to-be-filled table; obtaining a to-be-filled text input by a user; analyzing the to-be-filled table, and converting the to-be-filled table into an HTML format to obtain a first HTML table; the first HTML table, the text to be filled and a preset Prompt template are spliced and input into an LLM large model; analyzing an entity-attribute relationship between a header field in the first HTML table and the to-be-filled text through an LLM large model; automatically filling the first HTML table to obtain a second HTML table; and inputting the second HTML table to the recorded position to obtain a filled document. By implementing the technical scheme provided by the invention, the accuracy of automatic table filling can be improved.

A method of wireless information exchange between a user device (102) and a food package (104) containing a liquid food product is provided. The food package (104) is made of a packaging material, comprising a first radio frequency communication device (106) having a first operating frequency and being unshielded. The user equipment comprises a user interface (114) and a second radio frequency communication device (116) having a second operating frequency, wherein the second operating frequency is greater than the first operating frequency.

The invention relates to a visit report generation method and device, computer equipment and a storage medium. The method comprises the following steps: determining a visit strategy for a target object; the visiting strategy is obtained based on the visiting purpose of the target object and the business data and business requirements of the target object in the target business; the business demand is determined and obtained based on a visiting purpose of the target object and business data of the target object in the target business; in a visiting process for the target object based on the visiting strategy, responding to a question operation for the target business, determining a business question, and generating an answer for the business question based on the visiting strategy; under the condition that the record generation triggering condition is met, the visit report for the target object is generated based on the visit record at least comprising the business question and the answer, so that the visit condition can be comprehensively known, and the refinement level of customer relationship management is further improved.

This invention discloses a method for detecting and analyzing toxic gases based on flame photometry. The method includes: determining the types and quantities of constituent atoms of each toxic gas according to its molecular formula; determining the characteristic elements of each toxic gas, and further determining the typical characteristic values ​​of each toxic gas; each toxic gas uniquely corresponds to a set of typical characteristic values; the set of typical characteristic values ​​is calculated from the types and quantities of atoms corresponding to the characteristic elements; measuring the constituent atoms and content of the gas to be tested using flame photometry, calculating the measured characteristic values ​​of the gas to be tested, and obtaining the set of measured characteristic values ​​of the gas to be tested; comparing the obtained set of measured characteristic values ​​with known sets of typical characteristic values; if the set of measured characteristic values ​​completely corresponds to a certain set of typical characteristic values, then the gas to be tested can be determined to be the toxic gas corresponding to that set of typical characteristic values.

The invention relates to the field of content recommendation, in particular to a content recommendation method and system, and the method specifically comprises the steps: constructing a historical browsing item graph of each session of each user, obtaining a browsing record of a current session of a current user, and constructing a browsing item graph of the current session; wherein the feature vector of the node in the browsing item graph is generated based on the content of the browsing item, the residence time of the user on the browsing item and the operation aiming at the browsing item; calculating the similarity between the current session browsing item graph and the historical browsing item graph based on the degree matrix of the current session browsing item graph and the historical browsing item graph, selecting a preset number of historical browsing item graphs with the maximum similarity, and constructing an access matrix according to the similarity and the adjacent matrix of the selected historical browsing item graph; and when the user clicks a new browsing item, determining a browsing item to be recommended from the access matrix based on the browsing item which is currently browsed and the new browsing item. According to the invention, the recommendation accuracy is effectively improved.

The application relates to the technical field of user portrait generation, in particular to a user portrait generation method and system based on private domain traffic of a public account, which comprises the following steps: acquiring recommended information of a public account clicked and followed by a user each time, determining a theme distribution of the recommended information clicked by the user each time by using a probability generation model; composing a probability distribution sequence by using the probability distribution of each theme label of the user in the recommended information clicked all the times; analyzing a change trend and persistence of elements in the probability distribution sequence to determine a situation persistence of each theme label of the user; analyzing a current following degree of each theme label of the user based on the probability distribution sequence, combining the situation persistence to determine an interest retention degree of each theme label of the user; and determining an interest tendency confidence degree of each theme label of the user by using a numerical distribution of elements in the probability distribution sequence and combining the interest retention degree, so as to generate a user portrait. Therefore, the precision of user portrait generation is improved.

The invention discloses a method and system for analyzing the moisture content and spatial distribution of coal based on image spectrum, belonging to the technical field of coal moisture content analysis, comprising: obtaining a visible light image and a hyperspectral image of the coal to be tested; performing semantic segmentation on the visible light image to divide it into a dry area and a water-containing area; extracting hyperspectral data of each pixel point in the hyperspectral image of the water-containing area, extracting spectral features of multiple bands by using a sliding window, and extracting spectral features related to moisture by dynamically adjusting through an attention mechanism; using the spectral features and spatial features of each pixel point in the water-containing area as samples, constructing a sample sequence, inputting the sample sequence into a Transformer model, and outputting a feature matrix; pooling the feature matrix and then inputting it into a least squares SVM model, and outputting the moisture content corresponding to each pixel point in the water-containing area; performing graded color development processing according to the moisture content of different pixel points, and obtaining accurate coal moisture and its spatial distribution.

The present disclosure provides a multi-element alloy and a preparation method thereof, a superlattice and a preparation method and application thereof, a laser, a photodetector, and a solar cell. The preparation method of the multi-element alloy comprises using molecular beam epitaxy to alternately stack and grow at least two IIIA-VA binary alloys, at least two IIIA-VA ternary alloys, or at least one IIIA-VA binary alloy and at least one IIIA-VA ternary alloy to obtain the multi-element alloy, wherein the thickness of the IIIA-VA binary alloy and the thickness of the IIIA-VA ternary alloy are both lower than the thickness of the multi-element alloy with a molecular layer thickness. The method achieves accurate control of the content of the multi-element alloy in a multi-element alloy with a molecular layer thickness by a growth mode of a combination of binary or ternary alloys lower than a molecular layer thickness, and the performance stability of the obtained multi-element alloy is good; at the same time, it can also improve the matching between the substrate and the substrate, which is conducive to the construction of a high-quality superlattice.

The present application relates to the field of calcium fluoride content determination, and specifically discloses a method for detecting calcium fluoride content in fluorite ore containing calcium sulfate. The detection method comprises the following steps: S1 sample pretreatment; S2 sample residue leaching and dissolution: using aluminum chloride solution leaching method for dissolution; S3 determination of total calcium in sample residue: using EDTA titration method for determination; S4 determination of calcium amount introduced by calcium sulfate dissolution in sample residue; S5 calculation of calcium fluoride content: total calcium content in sample residue minus equivalent calcium content calculated from the content of sulfate, plus calcium fluoride dissolution correction coefficient, which is the calcium fluoride content in the sample. By implementing the present application, the problem of abnormal increase of calcium fluoride content in fluorite sample due to incomplete separation when the content of calcium sulfate is high is solved, and the problem of accurate measurement of calcium fluoride content in fluorite sample containing a large amount of calcium sulfate is effectively solved. The relative error of the detection result is reduced from 7%-350% of the existing method to less than 2%.

This invention belongs to the field of microplastic content detection technology, specifically relating to a method for simultaneously and quantitatively testing the content of multiple microplastics. The method provided by this invention utilizes a thermogravimetric-infrared spectroscopy (TGA-IR) analyzer to simultaneously and quantitatively analyze multiple microplastics in a mixed sample, enabling rapid and accurate determination of the content of each microplastic.

The invention relates to a method for determining the content of components in a high-magnesium zinc alloy. The method comprises the following steps: preparing a high-magnesium-zinc alloy standard product, setting direct-reading spectrometer excitation parameters of all elements, drawing a working curve of all the elements, exciting a high-magnesium-zinc alloy sample by using the direct-reading spectrometer, measuring the spectral intensity value of all the elements, and obtaining the content of all the elements according to the working curve. According to the scheme provided by the invention, the contents of seven elements such as Al element, Mg element, Fe element, Pb element, Cd element, Sn element and Cu element in the high-magnesium zinc alloy with the magnesium element content greater than 0.5% can be accurately measured.

The invention relates to a corn real-time nitrogen application dynamic decision early warning method, device and equipment, which can detect real-time soil temperature and humidity data to simulate a soil nitrogen cycle process, predict the content of ammonium nitrogen and nitrate nitrogen in soil, and calculate the content of nitrogen which can be absorbed by corn in the soil by using the content of ammonium nitrogen and nitrate nitrogen. Further combining with the daily potential nitrogen absorption amount predicted by the corn growth model to calculate the daily actual nitrogen absorption amount of the corn; and taking the ratio of the daily actual nitrogen absorption amount to the daily potential nitrogen absorption amount of the corn as a nitrogen nutrition index, and obtaining a real-time nitrogen application dynamic decision of the corn according to the nitrogen nutrition index data. According to the technical scheme disclosed by the invention, the obtained content of ammonium nitrogen and nitrate nitrogen in the soil is accurate, and the nitrogen fertilizer application opportunity is optimized by dynamically calculating the difference between the daily actual nitrogen absorption amount and the demand amount, so that the nitrogen demand of corn in the whole growth period is effectively met, and reasonable distribution of the nitrogen fertilizer is ensured.

The utility model discloses a kind of lithium ion battery positive electrode material non-magnetic foreign matter separation enrichment device, including bottom shell, hollow inner ring, negative outer ring, positive electrode column, positive electrode and negative electrode;The inside of the bottom shell is sequentially provided with positive electrode column, hollow inner ring and negative outer ring from inside to outside, lithium ion battery positive electrode material is filled between the hollow inner ring and positive electrode column;The side of the hollow inner ring close to negative outer ring is provided with diaphragm, and electrolyte is added;The end of the positive electrode and negative electrode respectively extends into bottom shell interior and is connected with positive electrode column, negative outer ring.This utility model assembles lithium ion positive electrode material into battery positive electrode and carries out charge and discharge, the negative outer ring of enrichment non-magnetic foreign matter copper, zinc element is sequentially cleaned, digested, inductively coupled plasma emission spectrometer quantitative test, can obtain accurate non-magnetic foreign matter copper zinc element content, with good practicability.