48results about How to "Precise structure" patented technology

The invention provides a method for creating a structured document based on a deep learning model, and relates to the technical field of data processing, and the method comprises the steps: obtaining basic text information collected by a user, obtaining text data, fragmenting the text data, obtaining text fragmented data, and creating a structured document according to the text fragmented data. Analyzing the structures of the sentences in the paragraphs, determining keywords in the sentences, analyzing the logical relationship between the sentences in the paragraphs, associating the sentence keywords in the paragraphs, analyzing the association degree between the paragraphs in the chapters, identifying core keywords of the chapters, obtaining a chapter keyword data set, and analyzing the field involved in the text. The method comprises the steps of extracting field information of a text to obtain a text keyword data set, constructing a structured document model based on a graph neural network model, and inputting the text keyword data set and text data into the structured document model to obtain a structured document. According to the method, the structured document can be constructed through the deep learning model.

The invention relates to the field of medicine, and discloses a thyroid nodule surgical operation planning and navigation system based on artificial intelligence, which comprises a multi-modal medical image acquisition module, an image preprocessing and enhancing module, an intelligent anatomical structure analysis module, an operation planning decision module and an intraoperative real-time navigation module, the multi-modal medical image acquisition module is used for integrating data of various image equipment such as ultrasonic equipment, CT equipment and MRI equipment, and space-time consistency of multi-modal images is ensured. According to the thyroid nodule surgical operation planning and navigation system based on artificial intelligence, the real-time calculation problem is solved, the system delay is reduced, which is crucial to real-time navigation in an operation, the real-time performance and the operation efficiency are improved, the operation time is shortened, and complications are reduced; by integrating the advantages of different images, the system can provide more comprehensive dissection views, help doctors to more accurately position nodules and important structures and avoid injury to nerves and blood vessels, so that the accuracy is improved, and the surgical risk is further reduced.

The invention relates to a structured extraction method and system for electric power overhaul data based on a large model. The method comprises the following steps: collecting and processing original electric power overhaul data; loading and analyzing the standardized naming mapping table of the power system equipment; configuring and calling a large language model, and performing feature extraction on the preprocessed to-be-analyzed text to obtain structured information of a target field; performing semantic similarity calculation based on vector embedding to obtain a corresponding preliminary matching result; further calculating the preliminary matching result according to a standardization algorithm, and establishing a standardization mapping index table of the current plant station and each level of equipment in the station; and the standardized mapping index table is integrated and packaged into a system service or offline file form to be output. According to the method, efficient and accurate structured extraction and standardized processing of electric power overhaul data are realized, complex unstructured text input can be processed, and extracted information is accurately corresponding to standardized equipment and station names through semantic understanding and a multi-stage matching mechanism. The process greatly improves the automation degree and accuracy of data processing.

The invention discloses a registration method for multi-modal retina blood flow image processing, which relates to the technical field of image processing, and comprises the following steps of: firstly, receiving retina blood flow image data from different modalities, preparing for subsequent data processing and registration, and after the retina blood flow images from the different modalities are received, carrying out registration on the retina blood flow image data from the different modalities; image preprocessing is carried out, the difference between different modes is reduced, and it is ensured that the images are analyzed and registered under the same standard. According to the method, the dynamic change trend of blood flow is predicted through the support vector machine model, the similarity measurement threshold is dynamically adjusted, local natural deformation is flexibly dealt with, and registration failure caused by blood flow fluctuation is avoided, so that the robustness and precision of multi-modal image registration are improved, more accurate space alignment is realized especially in a blood flow change salient region, and the registration accuracy is improved. And high-quality image data support is provided for retinal disease diagnosis and pathological analysis.

The invention discloses a scale and structure consistency image generation method fusing three-dimensional geometric prior, and belongs to the technical field of computer vision and image generation. The method comprises the following steps: acquiring a scene image and depth information corresponding to the scene image, reconstructing a scene point cloud containing pixel space coordinates and color information, acquiring a colored point cloud of an object to be inserted, placing the colored point cloud at a specified position of the scene through rigid body transformation, and unifying a coordinate system with the scene point cloud; projecting the transformed object point cloud to an image plane through a camera model, determining a visible point according to the depth, and constructing an insertion region mask to remove pixels of a region corresponding to a scene; then constructing a multi-channel geometric structure priori graph containing color, depth and other information, and splicing the multi-channel geometric structure priori graph with the cleared scene image to form a diffusion type generation model input; and finally, generating an image under geometric prior guidance, ensuring that the inserted object is consistent with the original scene in the aspects of position, scale, perspective and the like, solving the problem of insufficient geometric consistency of the existing method, and realizing image content insertion with an accurate structure and real vision.

The invention relates to a plasticizing screw intelligent design system and method based on material characteristics, and belongs to the field of material processing and forming. The invention discloses a plasticizing screw intelligent design system based on material characteristics. Comprising a material characteristic database, a screw structure parameter database, an experimental design module, a computer-aided design module, a computer-aided numerical simulation module, a screw plasticizing performance evaluation module, a screw structure optimization module, an optimal screw structure machine learning module and an optimal screw structure generation module. According to the system and the method, the optimal plasticizing screw structure geometric parameter data based on the plasticizing performance evaluation target criterion can be output only by inputting the material characteristic parameters, and the screw model can be established according to the output screw structure geometric parameter data; the device is used for the next step of screw processing and manufacturing and is applied to the plasticizing production of corresponding materials.

The utility model relates to the technical field of chemical vapor deposition growth, in particular to a cooling growth base station. A cooling growth base station comprises a cooling supporting table, the cooling supporting table is an integrated cooling supporting table formed through 3D printing, a cooling channel is formed in the integrated cooling supporting table in a printing mode, the deformation resistance of the cooling supporting table is integrally improved, and the cooling channel is formed in the integrated cooling supporting table in a printing mode, so that the cooling effect is improved. The structure, the position and the like of the cooling channel are more accurate, it is guaranteed that the cooling uniformity of the cooling supporting table is better, the cooling channel can be arranged close to the upper surface of the cooling supporting table as far as possible through integrated forming, the cooling capacity of the cooling supporting table is improved, temperature balance of the single crystal diamonds is guaranteed, and the growth quality of the single crystal diamonds is good.

The application belongs to the technical field of computer vision, and discloses a window frame structure extraction method and system based on image segmentation and multi-image fusion, which comprises the following steps: obtaining an orthographic window image of a building facade, and performing first preprocessing on the orthographic window image; wherein the first preprocessing comprises window clustering grouping and super-resolution processing; performing window frame segmentation on the first preprocessed orthographic window image based on an image segmentation algorithm to obtain a segmented window frame mask; fusing the window frame masks of the same cluster based on a multi-image fusion algorithm to generate a window frame fusion mask; extracting the geometric parameters and color parameters of the window frame fusion mask; and obtaining a target window frame structure according to the extracted geometric parameters and color parameters; through the steps of the image segmentation algorithm, the multi-image fusion algorithm, the geometric parameter and color parameter extraction, etc., the window frame structure corresponding to the orthographic window image can be accurately extracted.

The invention relates to the field of micro electro mechanical systems, in particular to an alignment photoetching eccentricity correction method, a preparation method of a product wafer and a multi-layer bonding wafer. The eccentricity correction method comprises the step of providing a photoetching plate with a preset pattern and a correction plate with a preset pattern, wherein the position of the preset pattern on the correction plate is accurate. The photoetching plate is arranged on a mask table of an alignment photoetching machine, the correction plate is arranged on a workbench of the alignment photoetching machine, and the positions of the preset patterns on the photoetching plate and the correction plate correspond to each other through an automatic alignment system and a moving assembly of the alignment photoetching machine. And replacing the positions of the target wafers with the same size so as to correspond to the position of the photoetching plate. According to the method, the existing alignment photoetching machine is used for photoetching, so that the advantage of high alignment photoetching efficiency is kept, the eccentricity between the photoetching plate and the target wafer is reduced, and the method has relatively high universality and practicability.

The present invention provides a load driving device, which can diagnose a fault of the output terminal before the charging voltage is stabilized in a structure in which a capacitor is connected to the output terminal of the load driving device driving an inductive load. The load driving device of the present invention has a capacitor connected between the load terminal and the ground terminal, and diagnoses whether the load terminal has a fault based on the current flowing between the internal power supply of the diagnostic circuit and the load terminal.

The invention discloses a stable built-in tool setting device of a large-scale high-precision horizontal machining center. The stable built-in tool setting device is composed of a supporting mechanism and a measuring mechanism. The measuring mechanism is arranged in front of the supporting mechanism which is connected with the spindle box. The supporting mechanism is composed of a dragging plate and a supporting shaft assembly. The measuring mechanism is composed of a reference block, a base with a flat shaft, a positioning key, a measuring head and an adjusting nut, the reference block is fixed to the horizontal center line of the carriage, the base with the flat shaft is fixed to the carriage, the positioning key is arranged in a through hole in the front end of the base with the flat shaft and used for anti-rotation positioning of the measuring head connected in the hole, and the adjusting nut is connected to the upper face of the measuring head through threads. The adjusting nut is connected with the flat shaft seat to adjust the vertical position of the measuring head. The problems that tool setting of a machine tool is not accurate due to thermal deformation of the spindle box or manual tool setting is tedious and time-consuming are solved, the requirements for precision and efficiency of tool setting in a large-scale high-precision horizontal machining machine can be met, the structure is simple and accurate, and installation is convenient. The method has the characteristics of practicability, creativity, convenient and fast operation and the like.

The invention relates to the technical field of financial data analysis, in particular to an interactive financial data retrieval and analysis system based on big data. Comprising a data access module, a data unification module, a semantic understanding and intention recognition module, a retrieval execution module, a financial analysis module and an interactive visualization module. The system can access financial information from multi-source data and perform cleaning, standardization, main data alignment and management to generate data for query and analysis. Query intentions and entities are recognized through natural language analysis, structured semantic representation is constructed, and multi-dimensional aggregation, backtracking and predictive analysis are achieved. And the retrieval execution module and the financial analysis module cooperate to ensure that the result is reproducible and credible. And the interactive visualization module dynamically presents the analysis result. According to the method, accurate understanding and structured representation of natural language query of the user are realized, so that financial data retrieval can quickly respond to the intention of the user, the query accuracy and efficiency are improved, and the reliability and precision of financial decisions are improved.

According to a method for producing a three-dimensional shaped food, the method comprising a step of turning a curdlan dispersion liquid into a heat irreversible gel, and a step of ejecting and laminating the gel, it is possible to obtain a three-dimensional shaped food that may withstand precise shaping with good handling properties at the time of ejection but with high shape retention during and after lamination and also has heat resistance after forming.

The embodiment of the application relates to an algorithm and a device of a Bayesian classifier of a non-uniform background, which are applied to an underwater active sonar system, the algorithm comprising: obtaining underwater data to be measured and auxiliary data through the active sonar system; the number K of the auxiliary data is greater than 0; modeling classification of the unknown covariance matrix structure into a binary hypothesis testing problem; hypotheses of the binary hypothesis testing problem comprise H i Wherein i=0, 1, H0 is a case that the unknown covariance matrix is a complex conjugate symmetric matrix; H1 is a case that the unknown covariance matrix is a real symmetric matrix; a Bayesian model is set, the Bayesian model comprising a complex inverse Wishart random matrix and a real inverse Wishart random matrix; a classifier for distinguishing the two hypotheses is obtained by using a minimum error probability criterion.

The application belongs to the cross field of nanomaterials and coordination chemistry, and specifically discloses a near-infrared responsive photothermal silver-palladium nanocluster material, a preparation method and application in near-infrared photothermal conversion. 362 H 270 Ag 20 Cl4F 12 P8Pd5Sb2, which is abbreviated as Ag 20 Pd5(4‑EBP) 18 (DPPP)4(SbF6)2·2CH2Cl2, belongs to a monoclinic system, and a space group is P21 / n, a =16.228(13)Å, b =40.670(3)Å, c =25.941(2)Å, α=90°, β =100.283(2)°, gamma =90°, V=16846(2)Å 3 , and a molecular weight is 8170.22 Da. The preparation method has short process flow, simple operation, and raw materials are easy to obtain. The photothermal silver-palladium nanocluster has a high photothermal efficiency of 73.25% under 915 nm (0.6 W / cm 2 ) laser excitation, and has good application prospect.

The invention relates to the technical field of image detection and financial science and technology, and discloses an image tampering detection method and device, computer equipment and a storage medium. Therefore, the detection result determined through the first direction gradient histogram feature is more accurate. The algorithm of the binary classification model and the first direction gradient histogram features is high in calculation efficiency and does not need complex calculation, so that the algorithm has advantages and is relatively low in complexity when processing large-scale data. The dichotomy model can be trained only through small-scale data during training, practical application is easier, accuracy and robustness are high, meanwhile, the overfitting problem can be effectively avoided, and good generalization ability is achieved. In addition, the binary classification model and the first direction gradient histogram feature algorithm have better interpretability, and the structure and the mode in the image can be clearly represented.

The utility model discloses a fire vehicle -mounted electric rubber dinghy platform relates to fire equipment field, including bottom plate, electric capstan and manual capstan, and the bottom plate top one side is hinged with the storage platform through the rotating shaft, and the bottom plate, electric capstan and manual capstan are all installed at the top of the external fire engine, and the bottom plate includes bottom plate main part, and one side fixed connection of bottom plate main part has hydraulic rod, and hydraulic rod is equipped with two groups and is fixed at one side of bottom plate main part, and electric capstan includes capstan main part, and this platform can utilize the bundle rope and fix electric rubber dinghy on the storage platform surface, when using, can manually rotate and lift the storage platform, utilizes electric capstan to spread the storage platform, and the unfolded storage platform is contacted with the ground, and the fireman is convenient to take down electric rubber dinghy and uses, and the whole operation process is fast and efficient, can all -round improve the efficiency, safety and adaptability of water area rescue action, better guards the life and property safety of the people.

The utility model relates to the field of SF6 gas micro-water density, and discloses auxiliary calibration equipment for an SF6 gas micro-water density sensor, which comprises a sensor, the sensor is placed in a box body, the inner bottom surface of the box body is fixedly connected with a mounting seat, the sensor is clamped in the mounting seat, an additional box is fixedly connected to one side, corresponding to a gas inlet pipe of the sensor, outside the box body, and the additional box is connected with the sensor. A multi-parameter gas calibration structure is arranged in the additional box, a sealing connection structure is arranged between a gas inlet pipe of the sensor and the multi-parameter gas calibration structure, a data collecting and processing system is installed on one side in the box body, and the top end of the sensor is connected with the data collecting and processing system in a wiring mode. A temperature control system is installed on the side, opposite to the data collecting and processing system, in the box body, multi-parameter gas calibration structures such as the humidity generator, the standard gas tank and the pressure calibration instrument are integrated in the additional box, the gas input pipeline layout, the precise pipeline design and the sealing connection structure are optimized, and gas leakage is effectively avoided.

The present invention relates to a truncated peptide segment, a fusion protein, an immunogenic composition, a vaccine, a recombinant nucleic acid encoding the same, a gene expression cassette, a vector, a host cell, a preparation method, and pharmaceutical uses, etc., which can prevent canine distemper virus infection. From the perspective of developing a CDV nucleic acid vaccine, the present invention makes appropriate truncation of the CDV H protein, and screens out a suitable tetramer functional element to be connected to the N-terminus of the H protein extracellular domain. The fusion protein composed of the preferred tetramer element and the truncated CDV H protein sequence of the present invention has good immunogenicity, can induce a high level of humoral immune response, can also induce cellular immunity, and provides cross-immune protection against different CDV strains, and has a wide range of application prospects.

The utility model relates to weighing sensor detection technical field especially for a kind of weighing sensor automation calibration detection device, including operation platform, the top end fixedly connected with the side plate of symmetrical arrangement of operation platform, the top end fixedly connected with the top plate of side plate, the bottom end fixedly connected with the limiting rod of top plate, the outside fixedly connected with the limiting strip of symmetrical arrangement of limiting rod, the bottom end fixedly connected with the support plate of limiting rod, in the utility model, more simple mechanical structure limiting rod and limiting strip limit the direction of weight, set first hydraulic rod and second hydraulic rod cooperation, the fixed and placement of weight is realized by the bolt structure that spring, telescopic link, locating block and fixed hole constitute, guiding groove realizes the accurate positioning of weight using simple mechanical principle, reduce its damage probability, unlike gear structure, even if wear also cannot affect the normal fixed and placement function of weight.

The application discloses a kind of analysis and prediction methods of high-frequency noise of pod propeller, comprising the following steps: S1, obtain the flow field original data and corresponding high-frequency noise monitoring data under the working state of pod propeller, and pre-process;S2, based on the separated vortex model, construct flow field-noise coupling analysis framework, set the time step and calculation frequency matched with actual working condition, the present application relates to ship propeller noise analysis and prediction technical field.The analysis and prediction method of high-frequency noise of the pod propeller, by constructing flow field-noise coupling analysis framework, the pre-processed flow field data are processed, the vortex structure characteristics of flow field can be captured, and based on the correlation mechanism of vortex structure and noise generation, the contribution of each vortex unit to high-frequency noise is accurately calculated, the vortex unit of dominant noise source is screened, and the dynamic positioning of high-frequency noise source is realized in combination with its space-time position information, which helps to understand the root of noise generation.

This invention discloses a non-inertial navigation mobile indoor volume measurement and 3D reconstruction method, equipment, and computer-readable medium, belonging to the interdisciplinary field of precision engineering measurement, computer vision, and digital twin technology. The method includes the following steps: S1, dynamic scanning data acquisition; S2, adaptive data augmentation and cleaning; S3, trajectory and depth calculation based on motion continuity constraints; S4, cross-sectional topology construction and closure constraints; S5, 3D solid modeling preserving volume characteristics; and S6, precise volume calculation based on the solid model. This invention employs the aforementioned non-inertial navigation mobile indoor volume measurement and 3D reconstruction method, equipment, and computer-readable medium, and through a single-line 2D LiDAR combined with innovative algorithms, achieves mobile high-precision volume measurement and high-fidelity 3D reconstruction of irregular indoor spaces under low-cost hardware conditions.

The application discloses a kind of rigid PCB metal hole copper-embedded structure visual detection systems, it is related to hole copper-embedded structure detection field, comprising: data acquisition module, for solving light source direction vector and collecting multi-angle image sequence;Specular reflection optimization module, for solving the unit normal vector distribution map of each point of copper-embedded structure surface and relative height map;Topographic feature module, for constructing three-dimensional topographic feature vector;Reflectivity correction module, for dynamically eliminating the overall drift of copper surface reflectivity;Texture feature module, for extracting the texture feature vector of copper-embedded hole edge;Defect identification module, for outputting defect type and corresponding confidence;Detection priority module, for determining the recheck priority and dynamic determination threshold of each copper-embedded structure. Through iterative rejection specular reflection pollution, high-precision three-dimensional reconstruction is realized, and the detection robustness and accuracy of high-reflectivity copper-embedded structure are improved by combining reflectivity self-calibration and multi-modal feature fusion.

The utility model discloses an integrated heating radiator head relates to the field of heating radiator head. Integrated heating radiator head includes: the flow pipe, and the flow pipe is small -bore pipeline, connecting casing, the both ends of symmetry fixed connection in flow pipe, the both sides of connecting casing symmetry have the connector, wherein, connecting casing, connector and flow pipe between through pouring integrated setting, the utility model discloses an integrated pouring forming process, solves the quality and the aesthetic pain point of traditional welding type, and through small -bore flow pipe again, realizes the heating effect optimization of water -saving, speed -up, increase efficiency, on the structural innovation and performance promotion of heating radiator head, has the practical value and market advantage of remarkable.

The invention discloses a thrust bearing spring bundle limiting structure and a mounting method thereof, and relates to the technical field of thrust bearings of hydroelectric generating sets, in particular to the thrust bearing spring bundle limiting structure and the mounting method thereof. The thrust bearing spring bundle limiting structure comprises a limiting baffle, an outer side baffle, a thrust base, spacer blocks, a spring bundle and a tile support; a spring bundle is arranged in the middle of the thrust base, and a limiting baffle is arranged between the spring bundle and the spacer block. The outer side shape of the limiting baffle is matched with the spacing blocks on the two sides, and the inner side shape of the limiting baffle is matched with the spring bundle; the outer baffle is arranged on the radial outer side of the spring bundle, and the tile supports are arranged between the spacer blocks on the spring bundle. The device has the advantages of improving the mounting efficiency, enhancing the positioning precision, optimizing the structural stability, reducing the maintenance cost, improving the safety and reducing the field processing time.

The application discloses an electric heating system with cold and hot air prevention functions and a control method thereof. The electric heating system comprises a shell, a heating body, a cooling fan, a power supply circuit, a cold air prevention control circuit and a hot air prevention control circuit. The heating body is fixedly installed in the shell, and the cooling fan is installed at an air inlet of the shell. The heating body and the cooling fan are connected in parallel to the power supply circuit. The cold air prevention control circuit and the cooling fan are connected in series to a cooling fan power supply branch, and are used for controlling the cooling fan power supply branch to be disconnected when the temperature of the heating body is less than a set cold air prevention temperature. The hot air prevention control circuit is connected in series to the power supply circuit, and is used for controlling the power supply circuit to be disconnected when the temperature at an air outlet reaches a hot protection temperature. The electric heating system opens the fan through an internal real temperature, solves the defect that the cold air prevention effect of a conventional delay is poor, can prevent the external environment from being affected by the overheating of the air outlet temperature, controls the air outlet temperature of the electric heating system within a set range, improves the user comfort experience, and ensures the safe operation of the electric heating system.

The utility model belongs to the technical field of motorcycle engines, and relates to a gear shifting structure of a motorcycle engine, which comprises a gearbox body, a driving shaft in transmission connection with a crankshaft and an output shaft in transmission connection with a load are arranged in the gearbox body, and the driving shaft is in transmission connection with the output shaft through a gear shifting mechanism. The gear shifting mechanism comprises a gear set and a shifting fork changing the connecting state of the gear set, a stepping motor is arranged on the outer side of the gearbox body, a crank is arranged on a motor shaft of the stepping motor in a sleeved mode, the crank is hinged to one end of a connecting rod, the other end of the connecting rod is hinged to the shifting fork, and the shifting fork is arranged on a guide rod in a sliding mode. The guide rod is parallel to the driving shaft and the output shaft, and the stepping motor drives the shifting fork to slide in the axial direction of the guide rod so as to complete the gear shifting action. According to the gear shifting structure of the motorcycle engine, automatic gear shifting of a motorcycle can be achieved.

The present application relates to the technical field of part processing, and discloses a forging forming method and tool for large thin-wall drum-shaped parts, comprising the following steps: step 1, designing a forging drawing according to the size of the part; step 2, designing a tire mold tool according to the forging drawing; the tire mold tool comprises a hollow forming tire mold, an upper pad mold and a punching tool; step 3, determining the process parameters of staged heating and the forging process parameters of each step; step 4, performing forging forming processing according to the steps, and obtaining a forging part. The present application can achieve high product processing quality, help to improve processing efficiency and reduce processing cost.

This invention discloses a multicolor fluorine magnetic resonance imaging probe based on a metal-organic cage. First, a rhodium-based metal-organic cage is formed by the self-assembly of a fluorinated isophthalic acid ligand and a rhodium salt, covalently introducing the first characteristic fluorine signal. Then, leveraging the coordination ability of the rhodium nodes in the rhodium-based metal-organic cage, it coordinates with a fluorinated pyridine derivative, introducing a second characteristic fluorine signal. This results in a multicolor probe containing both fluorine signals within the metal-organic cage, ensuring that all signals exhibit completely consistent pharmacokinetic behavior in vivo. This achieves true multi-channel synchronous imaging, solving the fundamental problem of spatiotemporal asynchrony of mixed probe signals. The probe system of this invention features precise structure, strong design flexibility, high imaging sensitivity, and multicolor imaging capabilities, providing a new solution for existing fluorine probes with single-channel imaging or complex structures. It also provides a new tool for in vivo multi-target biological imaging and dynamic monitoring.

This invention relates to the field of pharmaceutical and chemical intermediates technology, and discloses a novel class of substituted phenylethyl-O-β-D-glucuronide compounds. These compounds are generated using substituted phenylethanol as a substrate and 1-fluoro-D-glucuronic acid as a glycosyl donor, catalyzed by β-glucuronyltransferase derived from *E. coli*. The process yield can reach over 95%, and the reaction conditions are mild and environmentally friendly. Substituted phenylethyl-O-β-D-glucuronide can be efficiently used for the determination of β-glucuronidase activity, and its applications are wide-ranging and reliable. The product can meet the needs of pharmaceutical, food, and other fields for β-glucuronidase activity control. It can be used for enzyme activity detection in the auxiliary diagnosis of clinical diseases, and also for enzyme quality control in fruit juice clarification processes in the food industry, drug precursor activation, and glycan structure analysis in the biopharmaceutical field. The product structure has been verified to be accurate by mass spectrometry and 1H NMR spectroscopy, and enzymatic hydrolysis experiments have confirmed its reliable application.