89 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 an automatic scientific research method and system, and the method comprises the steps: generating a paper outline based on the obtained existing research literature through the first function of a scientific research agent; based on the obtained existing research literature and the thesis outline, generating an experimental design scheme of the thesis by using a second function of a scientific research agent; obtaining an experiment result according to the experiment design scheme of the thesis; on the basis of the obtained existing research literature, the thesis outline, the experiment design scheme of the thesis and the experiment result, generating a complete thesis by utilizing a third function of a scientific research intelligent agent; and optimizing the complete paper according to the review opinions to obtain a new paper meeting a preset standard. According to the method, through deep integration of a large language model, semantic retrieval, code generation, simulation review and other technologies, the whole process independence from topic selection to paper completion is realized, the scientific research efficiency and the result quality are remarkably improved, and a foundation is laid for a scientific research normal form driven by artificial intelligence.

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 invention provides a scientific discovery intelligent system embedded with a scientific and technological text reverse reasoning mechanism, and relates to the technical field of data processing, and the system comprises a planning module which is used for extracting and clustering research problems, research methods and research limitations, and generating structured information; the storage module is used for forming a management knowledge base; the tool module is used for providing operation tools for the planning module, the storage module and the execution module; and the execution module is used for reasoning and optimizing a scientific discovery direction by combining a reverse reasoning mechanism based on the management knowledge base. The technical problems that in the prior art, an analysis result is limited by knowledge reserve and prejudice of experts, a current large model mainly depends on basic knowledge to conduct forward derivation, fusion of fine-grained knowledge is lacked, subjective dependence is high, and a reasoning path is single exist, the possible future research direction can be reversely deduced from existing research limitations, and the research efficiency is improved. And full-flow support of the scientific discovery process is realized, so that the accuracy of the reasoning direction is ensured.

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 an intelligent financial engineering quantitative research and reproduction method and related components, and relates to the field of finance. The method comprises the following steps: firstly, determining a target workflow by combining a workflow template and meta-information extracted from a quantitative research document by an information extraction agent; when the target workflow is executed, the information extraction agent extracts quantitative calculation information from the document; the code agent generates a quantitative calculation code according to the quantitative calculation information and the data source information, and quantitative factor data is obtained after the quantitative calculation code is executed; performing quantitative back-testing on the quantitative factor data according to a back-testing tool corresponding to a back-testing method specified in the document to obtain a back-testing result; and the verification agent compares the back-test result with the quantitative research result in the document to obtain a quantitative research conclusion. The whole process of financial engineering quantitative research is automatically completed based on the large model agent, practitioners are enabled to concentrate on core work of quantitative design and strategy design, and the research efficiency of users is improved.

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 discloses a spectrogram data management method based on laboratory equipment, and relates to the technical field of medical data management, and the method comprises the steps: constructing a topological graph through a graph theory method, describing the incidence relation between different target drugs, collecting the drug component data of a target drug sample through the laboratory equipment, in combination with a traditional Chinese medicine compatibility theory and a formula standard, edges and weights between different nodes are initialized, the relation between attributes of the nodes and the edges in the topological graph is adjusted by comparing with a medicine component database in an existing pharmaceutical standard, and finally the verified and optimized topological graph is stored as standardized spectrogram data. According to the method, the relationship among the medicine components is visualized through a graph theory method, and the edges and the weights of the edges among the nodes in the topological graph are generated in combination with the attributes and interaction of the medicine components, so that researchers can visually check the action relationship among the components, and the research efficiency is improved. And the problems of information isolation and difficult query in traditional experimental data management are reduced.

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 relates to an academic hotspot analysis system, which comprises the following steps: acquiring target field information of a plurality of to-be-analyzed literatures in a target field by utilizing a literature data extraction module, acquiring literature data according to the target field information, analyzing a literature publishing trend by utilizing a literature publishing trend display module, and generating a literature publishing trend interface, the method comprises the following steps: realizing visualization of a document publishing trend, analyzing the occurrence time and frequency of each keyword by utilizing a keyword trend display module, and generating a keyword trend interface for displaying a development trend of a research hotspot; the publishing unit display module is used for calling a preset map API to convert publishing unit names in the literature data into latitude and longitude coordinates, and thermodynamic diagrams of all publishing units are generated according to the latitude and longitude coordinates, so that academic research hotspots, development trends and regional popularity can be visually displayed, scientific research layout is facilitated, academic research efficiency and quality are improved, and the method is suitable for popularization and application. And development of academic research is promoted.

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.

The invention discloses a construction method of a rat deep vein thrombosis model, and relates to the technical field of animal models, and the key points of the technical scheme are that the construction method comprises the following steps: step 1) experimental animal selection; step 2) setting in groups; 3) preparing experimental materials and equipment; step 4) preparation before an experiment; 5) anesthesia and surgical operation; and 6) taking down the vascular clamp and closing the abdomen for disinfection. The invention provides a stable and clinically related rat deep vein thrombosis model, the repeatability and reliability of experiments are improved through accurate surgical operation, the experimental process is simplified, the research efficiency is improved, and a powerful experimental tool is provided for research and treatment of deep vein thrombosis.

The present application relates to the technical field of knowledge recommendation, and provides a heuristic knowledge navigation recommendation method that integrates user search intent. The method includes: interactively obtaining input text and parsing out search types; pre-building an understanding model; inputting the search type into the understanding model for intent recognition, and outputting the recognition result; pre-building a search model; synchronizing the input text and the recognition result to the search model for retrieval, and obtaining the target result; performing fine-grained knowledge extraction to obtain an element set; screening and matching from the element set according to the recognition result to obtain an associated element set; and feeding back the associated element set to the user. The present application solves the technical problem that the existing recommendation methods cannot accurately understand the actual intentions of users, resulting in most of the recommendation results remaining at the level of articles or journals, so that users still need to manually screen, reducing scientific research efficiency, and realizes the effect of improving the accuracy of search intent recognition and knowledge recommendation based on user intent understanding models and fine-grained knowledge extraction.

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 utility model relates to a novel animal treadmill instrument used for mouse experiments, and aims to solve the problems that the speed of each cell runway in the current treadmill instrument is the same, so that multiple experiments are needed when indexes of mice need to be researched at different speeds, the research efficiency is influenced, the gradient of the treadmill instrument cannot be adjusted, and the research cost is high. The device comprises a box body, multiple sets of connecting frames are installed on the two sides of the bottom end of an inner cavity of the box body, driving shafts are rotationally connected to the inner sides of the multiple sets of connecting frames, and driving rollers are fixedly connected to the outer sides of the multiple sets of driving shafts; according to the utility model, the moving speeds of the plurality of running belts are inconsistent, so that the indexes of the mouse can be researched at different speeds by one experiment without multiple experiments, the mouse research efficiency is further improved, and the gradient of the running belts can be adjusted, so that the response and adaptive capacity of the mouse can be researched under different conditions.

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 provides a giant hydropower station water storage scheduling method and system based on a corridor constraint method, and the method comprises the steps: collecting basic data of a target hydropower station and other hydropower stations in a research basin; based on the end time of the target hydropower station running according to the flood control limit water level and the storage starting time of the downstream cascade hydropower station, determining the starting and ending time of the storage period of the target hydropower station; determining a water level corridor of the water storage period of the target hydropower station by referring to the current scheduling modes of the target hydropower station and other hydropower stations; and the reservoir water level of the target hydropower station in each time period in the water storage period is dispersed in the water level gallery, and a water storage alternative scheme set is generated. By means of the method, effective cooperation of power generation synergy and flood prevention security is achieved, the number of water storage alternative schemes is greatly reduced, the research efficiency of water storage dispatching of the giant hydropower station is improved, and the guidance value of research results is improved.

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.

The invention provides a method for rapidly screening black fungus strains with high melanin yield and application of the black fungus strains, and belongs to the technical field of biology. According to the method disclosed by the invention, the black fungus fermentation liquid is simply treated, and the ultraviolet spectrophotometer is combined, so that the purpose of quickly and accurately screening the black fungus strains with high melanin yield is achieved, and the workload of screening the black fungus strains is effectively reduced. The invention further provides application of the method in black fungus strain breeding and melanin production with high melanin yield, and improvement of scientific research efficiency and development of the melanin industry are facilitated.

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