180results about How to "Improve R&D efficiency" patented technology

The invention discloses a molecular property prediction large language model construction method based on a knowledge graph. The method comprises a plurality of steps: firstly, acquiring pre-training corpora by using a high-throughput data acquisition technology, including related data such as molecular attributes and metabolic pathways; then, a knowledge graph about fourteen end points is constructed based on the data, and the knowledge graph represents the relation between the molecules and the attributes and the end points of the molecules in a triple form; thirdly, pre-training the large language model by using a LoRA technology, optimizing the model by adopting an incremental learning strategy, and forming an expert large model; then, a triple related to the target endpoint is retrieved from the knowledge graph through the RAG technology, and retrieval results are sorted; and filtering the retrieved triple through cue word design and an expert large model, and extracting key information. And finally, converting the filtered triple list into a natural language, inputting the natural language into an expert large model, generating a prediction result of molecular properties, and providing a reasoning basis. According to the method, the accuracy and efficiency of molecule and endpoint chemical reaction prediction are remarkably improved.

The invention relates to the field of drug effect simulation, in particular to a drug effect simulation system, which comprises a data input module for receiving drug information and patient information and carrying out structured storage on the information; the data preprocessing module is used for performing cleaning, standardization and feature extraction on the input data; the intelligent model selection module automatically selects the most suitable PK and PD models through a machine learning algorithm in combination with historical data; the personalized parameter adjusting module is used for dynamically adjusting simulation parameters according to the specific data of the patient; the drug effect simulation module is used for simulating the action process of the drug in the virtual environment and adjusting the simulation in real time through the real-time feedback module; the calculation module is used for executing simulation calculation and generating a drug effect prediction result; and the result analysis module is used for carrying out statistical analysis on the simulation result and generating a drug effect prediction curve and a detailed report.

The invention discloses a method and a system for assisting material synthesis by utilizing a multi-mode large model and a storage medium, and the method comprises the following steps: establishing a corresponding relation between embedding of raw materials and a processing process and embedding of material performance by constructing a raw material and processing-performance multi-mode large model; in the application stage, the method can realize three reasoning functions: reasoning the material performance according to the raw materials and the processing process, reversely deducing the required material formula according to the target performance, and judging the credibility of the given formula. According to the method and system provided by the invention, the development efficiency of the material formula is remarkably improved, and meanwhile, the reliability of the formula is ensured. The method is suitable for formula development of various materials such as rubber, plastic and paint, and has important practical value.

The invention belongs to the technical field of financial science and technology, and discloses a multi-agent collaborative document-driven quantitative research and transaction self-evolution system and method. The system adopts a layered architecture, comprises a data and factor service layer, an execution engine layer, an agent layer, an interface service layer and a front-end control layer, and aims to solve the core problems that research and engineering implementation are separated in quantitative strategy research and development, code generation lacks interface constraints and strategies lack self-evolution ability. According to the system, through cooperative work of a research agent, a factor agent and a coding agent, a strategy idea described by a natural language is automatically converted into a standardized document, configuration and executable code; through a closed loop formed by self-monitoring, self-diagnosis and self-improvement intelligent agents, automatic diagnosis and optimization of problems of strategy overfitting, factor attenuation and the like are realized, continuous self-evolution of the strategy is driven, and full-life-cycle automatic management from strategy conception, factor design, automatic coding and real disk back-testing to feedback autonomous optimization is realized.

The invention provides a process for preparing a high-purity human blood coagulation factor IX from plasma. The process comprises the following steps: acquiring plasma; adding anion gel, adsorbing, and collecting an eluted protein solution; adding heparin sodium, filtering, ultra-filtering and dialyzing to obtain dialyzed protein liquid; adding an S / D solution; adding anion gel for secondary adsorption, and collecting eluted protein liquid II; performing filtration, ultrafiltration and dialysis, and collecting eluted protein liquid after dialysis; filtering is performed; carrying out affinity gel chromatography purification, collecting eluent, and carrying out ultrafiltration and dialysis; filtering, and adding a dialysate containing glycine for dialysis to obtain a human blood coagulation factor IX stock solution; adjusting the titer, and adding heparin sodium to obtain a diluted solution; pre-filtering the diluted liquid to obtain a semi-finished product of the human blood coagulation factor IX; sterilizing, filtering, sub-packaging, carrying out vacuum freeze drying, carrying out dry heat virus inactivation, inspecting and packaging. According to the invention, the production process is simplified, the cost is reduced, the activity of the finally obtained human blood coagulation factor IX is greater than 50IU / ml, and the specific activity is higher than 180IU / mg.

The invention provides powder adhesive jet printing equipment and a printing method.The powder adhesive jet printing equipment comprises a powder laying system, a heating system, a negative pressure ink supply printing system, a powder layer compacting system, a forming cylinder system and a material cylinder system, the powder layer compacting system is arranged between the powder laying system and the negative pressure ink supply printing system, and the forming cylinder system is arranged between the powder laying system and the negative pressure ink supply printing system; the powder layer compacting system comprises a pressing plate, the pressing plate can move in the vertical direction and can also move in the horizontal direction, the vertical direction and the horizontal direction can be simultaneously and respectively achieved in the powder layer compacting process so that the powder layer can be compacted, and each printing layer can be compacted in the printing process. According to the device, each printing layer can be compacted in the part printing process, so that the density of the printed part biscuit is greatly improved, the printed part biscuit is easier to form, the strength is improved, and the high-strength part biscuit is obtained.

This invention discloses an AI-assisted rapid screening system for immortalized cell lines, belonging to the technical field of immortalized cell screening systems. It includes a fully automated experimental execution module connected to a controller for overall system control. The controller has a built-in AI-based rapid screening evaluation system, which comprises a multimodal time-series data acquisition module, an immortalization potential assessment module, a phenotypic fidelity assessment module, a confidence assessment module, and a rapid screening decision module. The multimodal time-series data acquisition module includes a data preprocessing unit, whose input terminals are connected to a cell morphology time-series image set module, a metabolomics time-series data acquisition module, and a transcriptomics time-series data acquisition module. This AI-assisted rapid screening system for immortalized cell lines can meet the practical needs of the animal husbandry and veterinary fields for efficient, accurate, and high-fidelity screening of immortalized cell lines.

The invention relates to the technical field of gene editing, and discloses an sgRNA activity prediction method and device based on deep features and automatic machine learning. The method comprises the following steps: acquiring sgRNA training data with editing efficiency labels and discretizing the sgRNA training data into classification labels; after the sgRNA and the PAM sequence are spliced, inputting the spliced sgRNA and PAM sequence into a pre-training depth sequence model to extract high-dimensional features; obtaining a low-dimensional feature vector through nonlinear dimensionality reduction; an automatic machine learning framework is combined with cross validation, and a prediction model is automatically trained and optimized based on low-dimensional features; and finally, carrying out activity prediction and sorting screening on candidate sgRNA by utilizing the model. According to the method, through fusion of deep semantic extraction, nonlinear structure maintenance and a full-automatic modeling process, the accuracy, robustness and development efficiency of sgRNA activity prediction are effectively improved, and an efficient pilot screening tool is provided for a gene editing experiment.

The application discloses a kind of ship intelligent navigation algorithm simulation verification system and test method, the system uses four-layer modular structure, including: virtual navigation environment module, standardization data interaction module, algorithm execution module, quantitative evaluation module;Between each module, standardization data interaction module is realized two-way data transmission, forms the complete simulation verification system capable of independent test and closed-loop operation.The method, using the system, the steps are: step 1: build inland virtual navigation scene, step 2: select test mode and configure algorithm, step 3: start simulation and data acquisition, step 4: evaluation index calculation, step 5: generate verification report.The algorithm unit of the application can be independently accessed to test, without overall reconstruction, perception, decision-making, control algorithm can be quickly adapted, greatly reduce the difficulty of integration debugging, improve algorithm development and verification efficiency, effectively shorten the intelligent ship development cycle.

The application relates to a multidisciplinary simulation coupling method, device and computer equipment of an aero-engine. The method comprises the following steps: acquiring simulation running models of each discipline of the aero-engine and associated mechanism information therebetween, and identifying coupling information of each coupling type between the disciplines; based on the coupling information of each coupling type between the disciplines, constructing each level coupling mechanism model of the aero-engine through a hierarchical coupling modeling strategy, thereby performing running association processing on the simulation running models of each discipline to obtain a simulation coupling model of the aero-engine; collecting simulation working condition information and simulation condition information of the aero-engine, and simulating the running process of the aero-engine through the simulation coupling model to obtain simulation running results of the aero-engine; and based on the simulation running results of the aero-engine, identifying simulation running information of each discipline of the aero-engine. The method can improve the accuracy and efficiency of accounting for actual course learning hours of users.

The invention provides an expressway business form extraction method and system based on a neural network, and the method comprises the steps: obtaining to-be-processed sub-business forms, carrying out the data cleaning, and generating rule data; performing compliance verification on the rule data based on the agreed rule, and if the verification is qualified, storing the rule data as a standard business form according to the category; traversing each standard service form in sequence, identifying coincident entries, taking the coincident entries as association keys, and extracting a high-speed service form set belonging to the same user based on the association keys; and inputting the high-speed business form set into a pre-trained statement extraction model to generate a passing behavior statement. According to the invention, by integrating the expressway business forms, standardized processing and efficient management of data are realized. According to the method, the data compliance is ensured, the business forms of the same user are identified and associated, the traffic behavior statements are generated by using the statement extraction model, and convenient and accurate information support is provided for expressway business management.

This disclosure relates to a method, training method, prediction method, and electronic device for constructing a dense membrane structure. The method includes: constructing a siloxane prepolymer structure model; performing geometric optimization on the siloxane prepolymer structure model and the dimethylsiloxane monomer structure model; randomly placing a first number of geometrically optimized siloxane prepolymer structure models and a second number of geometrically optimized dimethylsiloxane monomer structure models into a pre-sized three-dimensional box for random mixing to obtain an amorphous mixture system; adjusting the atomic coordinates of the amorphous mixture system using a conjugate gradient algorithm to find the stable structure corresponding to the minimum static energy of the amorphous mixture system; and performing temperature equilibrium simulation on the stable structure under a pre-defined ReaxFF force field to form a dimethylsiloxane dense membrane structure. Constructing a dense membrane through molecular dynamics simulation and predicting the degree of crosslinking using artificial intelligence methods can improve research and development efficiency.

This invention discloses a method, device, and storage medium for determining the imaging position of a vehicle window glass, relating to the field of automotive glass imaging. The method includes the following steps: determining a reflection point on the projection when the line connecting the eye point and the emitting point can form a projection on the vehicle glass, based on a preset reflection length ratio; determining a convergence value of the reflection length ratio based on the positions of the eye point, the emitting point, and the reflection point; adjusting the position of the reflection point based on the convergence value of the reflection length ratio, wherein the adjustment is completed when the difference between the incident angle and the reflection angle of the reflection point is within a specified threshold; and using the adjusted reflection point as the imaging point corresponding to the eye point and the emitting point. This invention can quickly find the actual imaging position of the emitting point on the glass without using dedicated optical software, significantly reducing R&D costs, shortening the development cycle, and improving R&D efficiency.

The application relates to an interface contract optimization adjustment method and device, a terminal and a computer readable storage medium. The interface contract optimization adjustment method comprises the following steps: after a spring bean is initialized, a tool class is used for interception and scanning; if the rest&rpc interface model in the scanning result contains an annotation swagger, the interface protocol on the arena is automatically covered, so that the interface protocol on the arena can be kept consistent with the interface protocol in the code without manual configuration of the interface protocol on the arena; if the rest&rpc interface model in the scanning result does not contain the swagger annotation, the rest&rpc interface model without the swagger annotation is reported to an interface protocol management system for subsequent processing; the interface protocol management system scans an arena interface list according to a preset period, and judges whether the interface data of the arena interface list matches the interface model data; if the interface data of the arena interface list does not match the interface model data, automatic rectification and release are performed in the swagger mode, the automatic monitoring and updating of the interface protocol can be realized, and the research and development efficiency and the interface protocol test efficiency can be improved.

The invention discloses a multifunctional PLC expansion device based on an FPGA and a configuration method thereof.The device comprises the FPGA, the FPGA comprises a communication module, a function configuration module, a pulse output module, a serial port module, a pulse counting module and an IO control module, the communication module is used for receiving a configuration instruction, and the function configuration module is used for receiving the configuration instruction; the function configuration module is respectively connected with the communication module, the pulse output module, the serial port module and the pulse counting module, and is used for selectively activating any one of the pulse output module, the serial port module or the pulse counting module according to the configuration instruction; and the IO control module is respectively connected with the pulse output module, the serial port module and the pulse counting module for function output.

The invention provides a novel high-flux component design method of a nickel-based wear-resistant alloy for laser cladding, and relates to the technical field of component design of nickel-based wear-resistant alloys and laser cladding, in particular to a component design method of a nickel-based wear-resistant alloy for laser cladding. The invention aims to develop a wear-resistant alloy material for laser cladding with excellent obdurability by taking Ni60 alloy as an example. In the specific implementation process, firstly, a Vickers hardness (HV) prediction model and a fracture toughness (KIC) prediction model of the nickel-based alloy are constructed; vickers hardness (HV) values and fracture toughness (KIC) values of tens of thousands of alloys are obtained through high-flux thermodynamics calculation, and Pareto alloy components are screened out according to the Vickers hardness (HV) values and the fracture toughness (KIC) values. The core value of the method is that a key component-performance associated data support and a systematic design methodology are provided for efficient research and development and large-scale production of the nickel-based wear-resistant alloy for laser cladding.

The utility model relates to the technical field of manufacturing of laser displacement sensors, in particular to a device for debugging a laser displacement sensor, which is reasonable in structure, simple and convenient to disassemble and assemble and capable of meeting the test requirements on multiple parts such as edges, outer diameters and gaps in the equipment debugging process, and is characterized in that a sensor fixing table is arranged on a base; the sensor fixing table is in a strip-shaped boss shape, screw holes are formed in the sensor fixing table at equal intervals, the sensor fixing table is provided with a sensor fixing support, the sensor fixing support is connected with the upper surface of the sensor fixing table through screws, and the upper surface of the sensor fixing table is further provided with a test fixing part used for completing gap test. An optical filter fixing assembly is arranged on the side surface of the sensor fixing table, the optical filter fixing assembly comprises an optical filter clamp and a translation mechanism which is vertically close to or far away from the sensor fixing table, and the optical filter clamp is mounted on the translation mechanism.

The invention discloses a strong light link reliability coupling method, system and device and a storage medium, and relates to the technical field of reliability engineering.The method comprises the steps that reliability parameter mapping of all parts of a system is obtained based on a pre-constructed model-based system engineering MBSE digital model of a strong light link system; dynamically calculating a fault-free working time MTBF of the highlight link system according to the reliability parameter mapping; performing fault propagation simulation according to the MBSE digital model and a predefined fault mode library; and according to the MTBF and the fault propagation simulation result, generating reliability evaluation of the highlight link system. According to the method, based on parameter mapping and dynamic coupling calculation of the MBSE model, multi-physical field simulation can be integrated in real time, such as heat and electricity data or actually measured data, working condition parameters are dynamically corrected, and dynamic, precise and systematic analysis of reliability evaluation is realized.

The application provides an intelligent agent-based whole-process antibody drug design optimization system and method, which comprises the following steps: receiving an antibody design requirement input by a user through an intelligent agent, performing intention recognition, task classification and parameter extraction on the input by the intelligent agent, and automatically constructing an antibody design task plan; structural modeling and combination hotspot analysis; generating a brand new antibody skeleton or optimizing an existing antibody skeleton; CDR sequence filling and candidate sequence generation; structure verification and affinity evaluation; humanization design and developability evaluation; candidate antibody sorting and result output; and generating a comprehensive design report. The application is used for guiding a user to complete a complete process from a target point to a high-affinity humanized antibody candidate sequence.

The application relates to the technical field of cosmetic formula prediction, and discloses a cosmetic formula component skin interface distribution prediction system and method, which solves the technical problems that existing cosmetic formula research and development relies on manual experience, lacks precise prediction means at a molecular level, and related models lack optimization mechanisms. The system comprises seven core modules. By building a library of formula component molecular representation, setting a skin model as a fixed boundary of a skin interface, constructing a full-atom molecular force field and carrying out molecular dynamics simulation, AI film forming prediction model is trained by using simulation data, rapid intelligent prediction of a target formula is realized, multi-dimensional cross verification is completed, and the force field and model parameters are iteratively optimized. The method corresponds to seven standardized steps of the system.

The application provides a metal mask and a pattern selection method, device and storage medium thereof. The pattern selection method comprises: processing n different transition region images to obtain corresponding n groups of pattern design parameters for representing the pattern distribution state of the transition region; determining minimum equivalent regions based on the n groups of pattern design parameters, performing mechanical simulation on each minimum equivalent region by using a finite element algorithm to obtain n groups of material properties corresponding to n different metal masks; performing mechanical simulation on the n different metal masks by using the finite element algorithm based on the n groups of material properties to obtain n groups of first deformation variables corresponding to the n different metal masks; determining at least one group of target first deformation variables from the n groups of first deformation variables, and outputting a transition region image corresponding to the target first deformation variable. The computer simulation test method can shorten the product development cycle, reduce the manufacturing cost and improve the research and development efficiency.

The application relates to the technical field of integrated circuits and provides a high-speed serial interface physical IP verification platform, method, device and medium. The application provides a unified design and verification platform supporting coexistence and fusion of multiple protocol types and a multi-protocol physical layer intellectual property core design and verification, is based on a modular, parameterized, multi-protocol and harmonious coexistence design idea and a top-level architecture circuit design method, can effectively reduce the circuit design and verification manpower cost of various different protocol types in project development, significantly shortens the function and performance verification period of the physical layer intellectual property core, significantly improves the full-stack and full-field research and development efficiency of the architecture design, circuit development and full-amount function / performance verification for different protocol types, improves the design and verification platform reuse degree between different protocols, and provides an excellent paradigm of unified design and verification with high platform level.

This invention discloses an active peptide from sturgeon cartilage that promotes height growth and improves bone development, along with its preparation method and applications, belonging to the field of active peptide technology. Using sturgeon cartilage as raw material, this invention selects the polypeptide with the highest activity in promoting bone growth and development from different enzymatic hydrolysis combinations through MC3T3-E1 cell experiments, and verifies its positive effect using zebrafish experiments. Subsequently, two potential active peptide sequences from sturgeon cartilage with bone growth and development promotion functions are screened using mass spectrometry to identify their sequences and bioinformatics techniques such as molecular docking. The amino acid sequences of the active peptide segments are shown in SEQ ID NO.2 and SEQ ID NO.5. The sturgeon cartilage peptides prepared by this invention have activity in promoting bone growth and development, which can solve the problem of high-value utilization of sturgeon and can also be used as a functional factor in functional products, showing good application prospects.

The invention provides a dynamic monitoring and adjusting method and system for traditional Chinese medicine preparation research and development, a medium and equipment, and belongs to the technical field of medical information. The method comprises the steps of automatically screening candidate research and development projects based on hospital historical clinical data; milestone information including time nodes, expenditure budget, key assessment indexes and early warning threshold values is set for the project; the research and development progress information is received in real time and compared with the milestone information, and an early warning signal is triggered when deviation reaches an early warning threshold value; and responding to the early warning signal, and starting a project adjustment process to dynamically adjust project resources. Through data-driven project approval, milestone type planning and'monitoring-early warning-adjustment 'closed-loop management, the problems that research and development project starting lacks objective basis and process management is rigid are solved, the scientificity of the research and development direction, the refinement level of process management and the flexibility of risk response are improved, and the research and development efficiency is improved. The research and development efficiency and success rate of the traditional Chinese medicine preparation are improved.

The application belongs to the technical field of intelligent design and computing optimization, and provides a multi-agent-based cross-physical-field microstructure reverse design method and system, obtains a design intention, analyzes the design intention into a quantitative cross-physical-field attribute target vector; utilizes a pre-trained neural network model to map the design intention into an adjusting parameter in a latent representation space, decodes and generates a geometric configuration of an initial microstructure, and constructs an initial evolution population; performs cross-physical-field numerical simulation on the microstructure in the population; identifies an evolution direction of a parameter space through local gradient approximation, performs elite screening by using a non-dominated sorting driven by a Pareto, dynamically adjusts the adjusting parameter of the latent space, guides the evolution process to converge to a physically effective Pareto frontier, and obtains a design scheme according to an optimization result. The application realizes efficient and accurate design of a microstructure under complex constraints.

The application discloses a modular reusable AiP radio frequency channel structure based on vertical cross-section impedance anchoring and a design method thereof. The modular reusable AiP radio frequency channel structure comprises a front-end standardized vertical transition module, a full-coated quasi-coaxial horizontal transmission module and a rear-end antenna feed module, and bidirectional 50-ohm impedance anchoring is implemented on the vertical cross-section of each module cascade. The intermediate layer full-coated quasi-coaxial horizontal transmission module is composed of upper and lower solid ground shielding layers and two side sub-wavelength spacing via walls to form a full-coated cavity, so that the change of the length of the horizontal section only introduces linear phase delay without destroying impedance matching. The application realizes 100% modular reuse of the core vertical interconnection structure in a multi-channel array, shortens the design period from several months to several days, and completely eliminates millimeter wave frequency band radiation leakage and near-field crosstalk.

This invention relates to the fields of natural language processing and digital healthcare, providing a method, system, device, and medium for determining drug-target matching. The method includes: acquiring the drug molecule sequence and the target protein sequence; inputting the drug molecule sequence and the target protein sequence into a first model, performing multimodal processing on the drug molecule sequence and the target protein sequence to obtain a first confidence score; inputting the drug molecule sequence and the target protein sequence into a second model, performing feature extraction and feature splicing on the drug molecule sequence and the target protein sequence to obtain a second confidence score; weighted summing of the first confidence score and the second confidence score to obtain a total confidence score; and determining that the drug matches the target when the total confidence score is greater than or equal to a preset confidence threshold. This method achieves rapid and accurate determination of the targeting relationship between a new drug and the target protein to be identified, effectively improving the efficiency of drug screening.

The application provides a non-load-bearing vehicle body frame torsional strength analysis method and system, which comprises the following steps: constructing a finite element model of a frame of a measured vehicle type based on a three-dimensional model of the vehicle type, performing simulation analysis on the finite element model, and obtaining unit torsional angle stress data of the frame; obtaining torsional angle combination spectrum data of a frame rear cross beam on a combined road surface according to a real vehicle road test; grouping parts of the frame according to material properties, matching the torsional angle combination spectrum data with the finite element model of the frame to simulate a frame fatigue test; and calculating fatigue damage values of each part of the frame according to the unit torsional angle stress data of the frame and the torsional angle combination spectrum data, until it is determined that any part fails according to the fatigue damage values. The application can preliminarily verify the torsional strength of the frame in the early stage of design and development, has high test accuracy, provides a reliable basis for frame development, shortens the test cycle and cost, and improves the research and development efficiency.

The invention discloses a physical embedded multilevel inference artificial intelligence framework for surface acoustic wave filter design, and relates to the technical field of surface acoustic wave filters and artificial intelligence. The framework comprises an intelligent pre-generator, an equivalent circuit model verifier and an optimizer, wherein the intelligent pre-generator outputs an initial design solution according to a target S21 parameter; the equivalent circuit model verifier rapidly predicts the response of the filter S21 through a mixed model of inference logic and deep learning driven by a surface acoustic wave resonator admittance formula and an ABCD matrix cascade formula; and the optimizer iteratively optimizes the design parameters and the topological structure based on the prediction result. The physical mechanism of the surface acoustic wave device is embedded into the deep learning reasoning process, the limitation of physical consistency of a pure data driving model is broken through, end-to-end full-automatic design without manual parameter adjustment and complex electromagnetic simulation is achieved, the calculation cost is remarkably reduced, the design period is shortened, and the design efficiency is improved. The method can be widely applied to efficient and accurate design of the surface acoustic wave filter in the field of wireless communication.

The invention relates to the technical field of material informatics, and discloses a material data management method and system based on artificial intelligence, and the method comprises the following steps: S1, carrying out the first-level classification according to the purposes corresponding to collected material data; s2, on the basis of the first-level classification, performing second-level classification on the material data according to the main performance of the material; s3, on the basis of the second-stage classification, performing third-stage classification on the material data according to the preparation process of the material; and S4, on the basis of the three-stage classification, performing four-stage classification on the material data according to the auxiliary performance of the material. Through four-level hierarchical association, a complete link of application-main performance-preparation process-auxiliary performance is established, data of ten types of polymer fine processing products is effectively planned and managed, and efficient support is provided for research and development links such as formula screening, process matching and performance prediction, so that the speed of research and development and iterative optimization of new materials is accelerated.