61 results about "Research efficiency" patented technology

The embodiment of the invention discloses a life omics research method and device based on artificial intelligence, and the method comprises the steps: carrying out the preprocessing of a project according to the intelligent interaction between a user and a system, and generating standardized data; and meanwhile, carrying out transfer learning on the large language model to construct a life science large language model. And according to the standardized data, decomposing a research target by adopting a life science big language model in cooperation with an intelligent agent, and generating an analysis plan. And based on the analysis plan, the intelligent agent is scheduled through the coordinator, and a hierarchical task is generated. And calling a multi-omics analysis tool by the intelligent agent to calculate and analyze the grading task, and outputting an analysis result. And based on data features, integrating analysis results through an integrated advanced model, and outputting a final report to complete the research of life omics. According to the embodiment of the invention, full-process automation and natural language interaction are realized, the standardization of data analysis and the repeatability of results are ensured, the research efficiency is remarkably improved, and the technical threshold is reduced.

The invention discloses a method and a system for improving carbon dioxide mineralization and storage efficiency. The method comprises the following steps: building a microfluidic experiment platform integrated with an online CO2 mineralization and storage monitoring system; on a microfluidic experimental platform, simulating a formation temperature and pressure condition to carry out a CO2 mineralization corrosion experiment to obtain pore scale reaction kinetic parameters and a pore structure evolution rule; macromineralization efficiency data are obtained through an indoor physical simulation mineralization reaction experiment of the core scale; a CCM-GEM reaction flow numerical model is constructed; determining a Pareto optimal solution set by using a CMG-GEM reaction flow numerical model; and based on the pore scale reaction kinetic parameters, the pore structure evolution law, the macromineralization efficiency data and the Pareto optimal solution set, determining a CO2 mineralization storage efficiency improvement path of the target rock sample. According to the method, global sensitivity analysis and automatic optimization of multiple parameters are rapidly completed, the research and development period is shortened, the economic cost and the time cost are reduced, and the research efficiency is improved.

The invention relates to the technical field of high-performance computing and artificial intelligence crossing, and discloses a method for automatically generating a simulation computing task on a supercomputing platform, which comprises the following steps of: receiving a task demand of a user; performing semantic understanding and parameter extraction on the input by using a parameter dynamic analysis engine to generate a simulation parameter table; based on the simulation parameter table and the input format specification of the target simulation software, an executable parallel computing task script is automatically generated through a self-adaptive script generator; according to the real-time resource state and the task requirement of the supercomputing platform, a dynamic scheduling algorithm is adopted to distribute the task script to the optimal computing node; in the task execution process, the running state is monitored in real time, and when abnormity is detected, a fault-tolerant and self-repairing mechanism is triggered; by automatically generating the task script, the user parameter configuration time is saved, and the overall scientific research efficiency is improved by more than 30%; natural language input and zero code configuration are supported, and common scientific researchers can quickly master the method.

The invention provides an intelligent investment attraction target matching method and system based on an industrial chain atlas, and the method comprises the steps: extracting and structuring key elements from an investment attraction policy text through a natural language processing technology, and generating an investment attraction policy portrait; constructing an industrial chain knowledge graph including products, technologies, enterprise entities and multiple association relationships; taking the policy portrait as a query condition, performing multi-dimensional matching and reasoning in the map, and calculating the comprehensive matching degree of the potential target enterprise; generating a priority recommendation list and a matching analysis report according to the matching degree sequence; according to the method, an investment attraction policy is automatically analyzed and structured through a natural language processing technology, and automatic matching is performed by utilizing the constructed industrial chain knowledge graph, so that screening and comparison of massive global enterprise information can be instantly completed, the research working time is greatly shortened, the search range of investment attraction targets is greatly expanded, and the research efficiency is improved. Therefore, the working efficiency is improved.

The application discloses a crop gene function research scheme planning method based on an experimental reasoning chain and belongs to the technical field of scientific research experiment intelligent planning. In view of the problems of lack of experimental reasoning chain modeling, insufficient search and recommendation capacity and low experimental scheme planning precision in the prior art, the application constructs a gene research knowledge graph by extracting research hypothesis-experimental operation-result interpretation triplets from historical documents, receives user experimental information, generates single-step experimental recommendations based on semantic vector matching and graph traversal, simultaneously generates a multi-round experimental scheme set through multi-scenario search, standardization processing and multi-dimensional score sorting, realizes the automatic planning of the crop gene function research experimental scheme, and improves the research efficiency and scientificity.

The invention discloses a crop gene function research scheme planning method based on an experimental reasoning chain, and belongs to the technical field of scientific research experiment intelligent planning. Aiming at the problems of lack of experimental reasoning chain modeling, insufficient retrieval and recommendation ability and low experimental scheme planning precision in the prior art, the method comprises the following steps: extracting a research hypothesis-experimental operation-result interpretation triple from historical literatures to construct a gene research knowledge graph; user experiment information is received, single-step experiment recommendation is generated based on semantic vector matching and graph traversal, meanwhile, a multi-round experiment scheme set is generated through multi-situation retrieval, standardized processing and multi-dimensional scoring sorting, automatic planning of crop gene function research experiment schemes is achieved, and research efficiency and scientificity are improved.

The invention relates to the technical field of artificial intelligence, and discloses a research report generation method, device and equipment and a storage medium, and the method comprises the steps: responding to an input research type subject, carrying out research step planning through a planning agent based on the research type subject, and obtaining a multi-step research plan with a logic progressive relationship, gradually searching in a search engine through a research agent based on the multi-step research plan to obtain research related information corresponding to each research step, and generating a research report corresponding to the research type subject according to the research related information corresponding to each research step; due to the fact that the multi-step research plan with the logic progressive relation is generated through cooperative work of the multiple agents and step-by-step searching is carried out in the search engine to generate the research report, intelligent planning of research report generation is achieved, and then the research efficiency and the knowledge integration capacity are improved.

The invention discloses a method for researching the corrosion resistance behavior of zinc alloy based on a first principle. The method comprises the following steps: firstly, retrieving a zinc primitive cell model from a material database and carrying out structure optimization; performing crystal face cutting, cell expansion and re-structure optimization to obtain a zinc plate model; then aluminum atom random replacement doping processing is carried out, and optimization is carried out to obtain a doping model; performing static self-consistent calculation to obtain surface energy, and screening out the most stable doping model; fixing two layers of atoms at the bottom of the most stable doping model, performing chloride ion adsorption calculation and structure optimization, and calculating adsorption energy to determine a most stable adsorption site; and finally, carrying out electronic structure calculation of state density and a work function, and representing the corrosion resistance of the zinc alloy. According to the method, a zinc alloy corrosion micromechanism is deeply analyzed, theoretical guidance is provided for component optimization and corrosion resistance improvement, and compared with a traditional experimental method, the research and development cost and time are remarkably reduced, the research efficiency is improved, and the method has important theoretical and practical application value.

The invention provides a multi-agent-based user interaction method and device, equipment and a medium. The method comprises the following steps: executing an interactive dialogue operation on user equipment through an interview dominant agent to obtain interactive dialogue data; generating a corresponding interview task chain through the interview dominant agent according to the interactive dialogue data; the interview task chain comprises a first interview task, a second interview task, a third interview task and a fourth interview task; for the first interview task, obtaining target user interaction information through a data mining agent; for the second interview task, constructing a user sample library for interview through a data mining agent; generating a plurality of interview object agents based on the user sample library; for a third interview task, obtaining answer deep information through an interview expert agent; and for the fourth interview task, generating a structured interaction content through the interview expert agent according to the answer deep information. Therefore, the investigation efficiency and the investigation depth are greatly improved.

The application relates to the technical field of artificial intelligence, and discloses a research report generation method, device, equipment and storage medium, the method comprising: in response to an input research topic, planning an agent to plan research steps based on the research topic, obtaining a multi-step research plan with a logical progression relationship, and based on the multi-step research plan, gradually searching in a search engine by a research agent to obtain research-related information corresponding to each research step, and generating a research report corresponding to the research topic according to the research-related information corresponding to each research step. In the application, multi-agents work together to generate a multi-step research plan with a logical progression relationship and gradually search in a search engine to generate a research report, thereby realizing intelligent planning of research report generation and improving research efficiency and knowledge integration capability.

The invention discloses a method and system for synchronously detecting host chromatin openness and in-vivo microbiome based on transposase, and belongs to the technical field of biological sequencing data analysis. According to the method, transposase is used for selectively fragmenting an open chromatin region of a host, and a microbial genome is almost randomly cut, so that synchronous enrichment of host and microbial DNA is realized; after high-throughput sequencing library construction and double-end sequencing, sequencing data is split into host source and non-host source reads through bioinformatics analysis, host chromatin state and microorganism composition are analyzed respectively, and a microorganism-host epigenetic regulation network is constructed; the invention further provides a matched DNA sequencing library and an analysis system, multi-scene research of infectious diseases, intestinal microecology, tumor microenvironment and the like is supported, a public database can be reanalyzed, and potential microbial interaction signals are mined. According to the method, the host-microorganism interaction research efficiency is remarkably improved, and a high-sensitivity and integrated technical scheme is provided for epigenetic regulation mechanism analysis.

This invention discloses a visual analysis method for identifying media bias in large-scale news sources, comprising the following steps: Step 1, constructing a data corpus based on the Global Open News Dataset (GDELT); Step 2, constructing time-series encoding and dimensionality reduction representation of reporting features based on related reports from large-scale media sources; Step 3, constructing hierarchical media cluster visualization results; Step 4, generating visualization results of media reporting differences on different event types based on representative media selected by the user; Step 5, constructing the event development context of related news reports by selected media on specific topics; Step 6, allowing users to interactively compare and analyze the continuous evolution pattern of media bias in the development path of specific events based on the event development context. This invention provides users with an intuitive interactive platform to explore media bias identification results, reduces the workload of users reading and understanding news reports from different media sources, improves research efficiency, and helps users gain a deeper understanding of media bias.

This invention provides a system, method, and terminal for intelligent processing and analysis of medical literature based on a large-scale model. First, the system obtains the user's query request through a user search interface. Then, it invokes the large-scale model to identify the user's intent, extract relevant biological entities, and generate corresponding logical chain instructions. Based on the extracted biological entities, it matches background information of relevant entities in a pre-constructed biological entity database. Finally, it matches the logical chain instructions against a knowledge graph database of literature abstracts to obtain a relevance ranking of the literature. Finally, it integrates the logical chain instructions, biological entity background information, and relevant literature information to generate and display the corresponding query results. This invention solves the problems faced by medical researchers, such as cumbersome literature acquisition, time-consuming reading, and complex analysis. By employing a large-scale model-based method for intelligent literature processing and analysis, it accelerates the literature reading process, reduces manual analysis costs, and improves research efficiency.

The application discloses a method for predicting mechanical properties of a nickel-titanium alloy part based on deep learning, and comprises the following steps: determining initial characteristics of the nickel-titanium alloy required by a mechanical experiment; manufacturing two different nickel-titanium alloy parts, respectively performing tensile and compression tests on the samples, collecting corresponding data, and forming an initial data set by combining all the collected data with printing parameter data; pre-processing the initial data, dividing the initial data into a training set and a test set according to a proportion, using printing parameters of additive manufacturing as input values of a deep learning model, using performance parameters of the mechanical experiment in the data set as output values of the deep learning model, constructing a mechanical property prediction model of the nickel-titanium alloy, training the mechanical property prediction model by using the training set data, and testing the mechanical property prediction model by using the test set data after the training is completed; and the application can predict the mechanical properties of the nickel-titanium alloy with high accuracy and improve the research efficiency of the nickel-titanium alloy.

The invention belongs to the field of agricultural planting, and provides a nutrient solution formula preparation method and device based on root system partition culture, and the specific method is as follows: uniformly dividing a root system of a crop to be researched into a plurality of parts, putting the parts of root systems into different containers in a one-to-one correspondence manner, and holding different element solutions in the containers, recording the residual amount of the element solution, the concentration value of the element solution and the pH value of the element solution in each container every day, comparing with the previous day, and calculating the reduction amount of the element solution, the concentration change amount of the element solution and the pH change amount of the element solution; according to the element solution reduction amount, the concentration change amount of the element solution and the pH change amount of the element solution, the demand proportion of the to-be-studied crops for various elements is calculated, and a nutrient solution is prepared according to the demand proportion of the to-be-studied crops for various elements. According to the method, the limitation of a traditional research method is overcome, the process is simplified, the research efficiency and accuracy are improved, and nutrient solution formulas suitable for different plants are rapidly and accurately obtained.

The invention relates to the field of agricultural information processing, and provides a silage analysis system and method based on a large language model, and the system comprises an embedding module which is used for pre-embedding silage processing data; the extraction module is established on the basis of a first language model and is used for receiving a to-be-analyzed problem and outputting the to-be-analyzed problem as a structured chart; and the analysis module is established based on a second language model and is used for analyzing the structured chart output by the extraction module and outputting an analysis report. The intelligent level of silage research is remarkably improved, automatic data analysis, intelligent chart generation and literature aid decision making are achieved, and scientific research efficiency and accuracy are improved.

The invention belongs to the field of preparation of hard rock transparent similar materials, and particularly relates to a hard rock transparent similar material with specific porosity and a preparation method. The method comprises the following steps: calculating the mass of each component according to the volume and porosity of the required hard rock transparent similar material and the density of the components; pretreating solid particles; cleaning fused quartz sand, preparing a cementing agent, mixing, performing injection molding and curing, and removing a pore-forming agent to obtain the hard rock transparent similar material with specific porosity. The obtained hard rock transparent similar material overcomes the defect that a material prepared in the prior art does not have permeability, and reliable experimental support is provided for revealing a rock mass permeability mechanism and optimizing an engineering seepage control strategy. Meanwhile, the preparation method is easy and convenient to operate, materials are easy to obtain, the preparation period is shortened, and the research efficiency is improved.

This invention discloses a method for optimizing infection parameters to improve the VIGS silencing efficiency of pepper seedlings, belonging to the technical field of VIGS silencing efficiency infection parameter optimization. The method includes the following steps: S1, graded screening; S2, pretreatment; S3, preparation of infection solution; S4, infection treatment; S5, moisturizing treatment. Through systematic optimization of the entire process—including seedling age-graded screening, leaf pretreatment, differentiated infection solution preparation, precise vacuum penetration infection, and gradient culture induction—the method achieves precise control throughout the entire process from plant selection and infection implementation to later culture. This completely solves the problems of low silencing efficiency, significant plant damage, and poor experimental reproducibility associated with traditional pepper VIGS infection methods. It can significantly improve the VIGS gene silencing efficiency and success rate of pepper seedlings of different ages, reduce seedling mortality after infection, and ensure stable and uniform silencing phenotypes. This provides a standardized and highly adaptable technical solution for rapid verification of gene function in pepper seedlings, greatly improving the reliability of experimental data and research efficiency.

The invention provides a light cleaning simulation analysis method and device, electronic equipment and a storage medium, and relates to the technical field of light cleaning. The method comprises the following steps: acquiring a geometric model of the optical cleaning chamber, and setting simulation parameters for the geometric model; adding a geometric optical physical field and a laminar flow physical field into the geometric model; setting material initial conditions for the geometric model; performing ray tracing on the geometrical optical physical field and performing steady-state solution on the laminar flow physical field, and simulating ultraviolet light irradiance and a gas flow field in the light cleaning chamber to obtain a simulation result; and performing simulation analysis on the simulation result to obtain a simulation analysis result. The method aims to solve the problems of low research efficiency and high trial and error cost caused by lack of an effective guidance direction during exploration of gas path and light source layout in the existing light cleaning technology, and realizes improvement of research and exploration efficiency and reduction of exploration cost in experiments.

To improve process reproducibility and stability, scientific research efficiency, avoid waste of photoresist, and ensure safety of scientific researchers.SOLUTION: A fully automatic photoresist application baking apparatus for scientific researches, comprises: an apparatus main body; a first loading apparatus; a second loading apparatus; a manipulator apparatus; a spin coating apparatus; a baking apparatus; a pipette apparatus; a vision apparatus; and a control apparatus. The manipulator apparatus grips pieces from the first loading apparatus based on positioning recognition of a vision apparatus under a control of the control apparatus. After it is placed in a vacuum suction hole of the spin coating apparatus, the pipette apparatus sucks the photoresist from the second loading apparatus and drips it onto the small pieces. Then the spin coating apparatus performs spin coating processing on the small pieces. The manipulator apparatus grips the small pieces from the spin coating apparatus and places them on the baking apparatus. The baking apparatus performs baking, and then the manipulator apparatus returns the small pieces to the first loading apparatus.SELECTED DRAWING: Figure 2

The present invention relates to the technical field of industrial production optimization, specifically a graph-theory-based industrial production operation optimization method and system, comprising: 1. collecting operating parameters, fly ash characteristics, energy and power data, and unit price data of different energy types in industrial production processes of different industries; 2. obtaining carbon emissions, combustion efficiency, and energy costs corresponding to each operating condition and process energy consumption; 3. establishing a relationship map of independent variables and dependent variables based on graph theory; 4. solving the optimal carbon emissions, energy costs, and efficiency corresponding to a selected set of independent variables in the map based on the minimum path principle; 5. finding the operating parameter distribution corresponding to the optimal carbon emissions, energy costs, and efficiency and satisfying stable operation constraints, and then optimizing industrial production operations using the operating parameter distribution. The present invention can significantly save experimental costs, improve research efficiency, and provide a scientific basis for energy conservation, carbon reduction, cost reduction, and efficiency improvement in the industrial field.

The invention relates to the field of yeast double hybrid in molecular biology, in particular to a three-plasmid yeast double hybrid strain as well as a construction method and application thereof. According to the invention, an AH109 strain is taken as a chassis strain, an endogenous URA3 gene is knocked out, a URA3 screening site is released, and a NatMX gene resistance marker is introduced, so that a three-plasmid yeast two-hybrid strain is obtained. The strain can be compatible with three independent plasmids TRP1, LEU2 and URA3 at the same time, the limitation that only binary interaction can be researched in traditional yeast two-hybridization is broken through on the basis that the normal screening function is not affected, the cost and difficulty of binary interaction research are close to those of binary interaction research, more complex ternary interaction research is achieved, and the application prospect is broad. The method greatly widens the research field, improves the research efficiency and success rate, saves the time cost for researching the three-factor interaction regulation, is stable in plasmid expression level and good in experiment repeatability, and provides a powerful, efficient and low-cost new technical platform for researching the complex life process.

The invention relates to the technical field of deep learning, and particularly discloses a museum exhibit deep research system fused with a multi-modal large model. The system comprises a multi-modal data aggregation module, a cross-modal semantic alignment module, a research path generation module, a dynamic argumentation construction module and a research conclusion generation module, through multi-modal data fusion, semantic alignment and intelligent path planning, an argumentation structure is automatically constructed, and a standard research conclusion is generated. The whole-process intelligent support of exhibit research is realized, and the research efficiency and systematicness are improved.

The present invention discloses an intelligent financial engineering quantitative research and reproduction method and related components, which relate to the financial field. First, the target workflow is determined by combining the workflow template and the metadata extracted from the quantitative research document by the information extraction agent; when executing the target workflow, the information extraction agent extracts the quantitative calculation information from the document; the code agent generates the quantitative calculation code according to the quantitative calculation information and the data source information, and obtains the quantitative factor data after executing the quantitative calculation code; the quantitative factor data is quantitatively backtested according to the backtesting tool corresponding to the backtesting method specified in the document to obtain the backtesting results; the verification agent compares the backtesting results with the quantitative research results in the document to draw the quantitative research conclusions. The present invention automatically completes the entire process of financial engineering quantitative research based on the large model agent, allowing practitioners to focus on the core work of quantitative design and strategy design, and improve the research efficiency of users.

The invention provides a method for predicting physicochemical properties of indole derivatives. The method comprises the following steps: S1, determining to-be-predicted physicochemical properties; s2, obtaining a molecular structure of a known indole derivative from the public data set, and obtaining a corresponding property of the known indole derivative according to the to-be-predicted physicochemical property; s3, establishing a molecular structure diagram based on the molecular structures of the known indole derivatives, calculating the degrees of vertexes, and generating a plurality of different correlation indexes for each known indole derivative through a Norm method; s4, establishing a data set for neural network training according to the corresponding properties of the known indole derivatives obtained in S2 and the correlation indexes of the known indole derivatives generated in S3; and S5, generating a plurality of different correlation indexes of the indole derivative to be predicted, and inputting the correlation indexes into the trained neural network to predict correlation properties. The method can predict the physicochemical properties of the molecules under the condition of not carrying out a large number of experiments, reduces the consumption of experimental resources, and improves the research efficiency.

The invention provides an electronic archive auxiliary editing and research method, system and device based on generative AI and a medium, and belongs to the technical field of electronic archive editing and research, and the method comprises the steps: obtaining a theme, summary information or selected archive data input by a user; generating an AI cue word according to the editing and research operation, generating an archive data query instruction or theme keyword by the generative AI, and querying a database to obtain target data; then desensitizing the target data and generating abstract cues, and sequentially generating editing and research abstracts by the generation formula AI; the abstract desensitization information is restored, editing and research operation suggestions are generated to the user, and the user adjusts and modifies according to the suggestions. According to the method, the query instruction and the keyword can be efficiently generated, and the target archive data can be accurately obtained. The desensitization processing ensures the data security, restores the desensitization information and generates suggestions, so that the user can adjust the editing and research based on the complete information, the editing and research efficiency and accuracy are improved, and the editing and research requirements are met.

The present application belongs to the technical field of geotechnical engineering research, and particularly relates to a method for evaluating the influence of residual deformation of a goaf on the structural stability of a simply supported beam bridge, which comprises the following steps: constructing a numerical model in a virtual environment in combination with the goaf and the stratum structure of the target simply supported beam bridge; obtaining the mechanical parameters of the broken rock mass and performing sensitivity analysis to generate a sensitivity sequence; equivalent the residual deformation of the goaf to the mechanical parameters of the broken rock mass in the caving zone, determining the equivalent parameters of the residual deformation based on the sensitivity sequence, importing the equivalent parameters into the numerical model to simulate the residual deformation, and outputting the simulation results; establishing a stability evaluation system based on the influence index of the structural stability of the simply supported beam bridge and the residual subsidence, introducing the residual subsidence of the pile foundation of the simply supported beam bridge and the tangential resultant force on the rock-soil contact surface of the pile foundation to evaluate the stability of the target simply supported beam bridge; the evaluation method proposed by the present application can effectively evaluate the influence of the residual deformation of the goaf on the structural stability of the simply supported beam bridge and improve the research efficiency.

The application provides a MOBA game match data interaction selection method based on story line visualization, comprising: (1) match event extraction and data preprocessing; (2) match similarity calculation and match level analysis; (3) story line layout calculation and user round level understanding using a story line visual analysis method; (4) user exploration of event and hero detail information and data selection combined with visual elements. The method provided by the application supports analysis of complex data in a MOBA game, the whole method can efficiently extract key events of a match and analyze multiple matches, and rich visual elements created on this basis can help users visually and intuitively visualize the match process, and various user interactions contained can facilitate users to easily explore detailed information of each hero, thereby improving research efficiency and reducing operation burden.

The invention discloses a model-based top layer development simulation design method and system, and relates to the field of high-speed digital signal processing, and the method comprises the steps: developing a signal processing modeling and verification tool; dividing the model information base into three model levels, namely a basic algorithm model, a technical system model and a system function model; configuring a model information base and screening required sub-models; newly building a project; screening related projects; a project needing joint simulation is selected and loaded; connecting input and output interfaces of each sub-model corresponding to the current project and carrying out joint simulation operation to generate a top-layer file and a batch processing bat file; storing the sub-model, the top-layer file and the batch processing bat file in a specified path and performing simulation; the simulation result file is analyzed, and input and output waveforms are displayed. According to the method, a model-based design idea is adopted, and accurate model description is adopted in each stage in the development process, so that the scientific research efficiency is improved, the development cost is reduced, and the success rate of a project is improved.

The utility model relates to the technical field of primate animal tests, in particular to a young monkey grip strength measuring device which comprises two vertical rods, a connecting rod and a measuring rod. The cross rod is detachably connected to the vertical rod, so that the cross rod is suspended; a display; wherein the cross rod comprises a first part and a second part, the first part of the cross rod is connected with the vertical rod, and a pressure detection component is arranged between the second part of the cross rod and the first part. On the basis of the structure of a horizontal bar, according to the characteristics that young monkeys are used to grasp branches, the cross bar is designed into two parts which are connected through the pressure sensor, after the young monkeys grasp the cross bar, the grabbing capacity of the young monkeys can be detected through the pressure sensor, the mode is very suitable for the grabbing force test of the young monkeys, use is easy, the operation difficulty can be reduced, and the test efficiency is improved. The time is saved, the research efficiency is improved, and especially the muscle strength, growth development and health state of the young monkey are evaluated according to test values.