37 results about "Research efficiency" patented technology

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 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research knowledge graph by extracting research hypothesis-experimental operation-result interpretation triplets from historical documents, receives user experimental information, generates single-step experimental recommendations based on semantic vector matching and graph traversal,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 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 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 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 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 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 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.

The application discloses a full-automatic compatible multi-photolithography technology and multi-sample size uniform glue machine table for scientific research, and relates to the technical field of semiconductor uniform glue, wherein the first and second sample holders are used for loading samples of different sizes; the uniform glue device and the baking device are respectively used for uniform glue and baking treatment of the samples; the transfer device is provided with a transfer carrier adapted to the second sample size and used for carrying the first sample; the pretreatment device is used for pretreatment of the sample; the first sample moving device is used for conveying the sample, and the second sample moving device is used for conveying the sample and the transfer carrier; the pipetting device is connected with the first sample moving device and used for dropping and coating photoresist; and the adsorption replacement device is used for replacing the adsorption module of the uniform glue device. The machine table integrates the standard piece and fragment uniform glue functions, can meet the uniform glue requirements of different sizes of samples for electron beam lithography, laser direct writing lithography, step-by-step lithography, contact lithography and other lithography technologies, effectively reduces the equipment cost, reduces the space occupation and improves the scientific research efficiency.

The invention relates to the technical field of computational toxicology and bioinformatics, and discloses a signal channel function enrichment analysis method, system, equipment and medium based on a protein inhibition ratio, which learns an interaction relationship between an active / inactive inhibitor and a key protein of a target signal channel by training an inhibition probability prediction model. Further predicting the inhibition probability of the to-be-detected compound on the key protein, and converting the inhibition probability into log2 (1-inhibition probability) as a novel input index of function enrichment analysis. According to the method, quantitative and systematic analysis on the potential pathway effect of the compound can be realized under the condition of lacking omics data; the multi-target inhibition effect is effectively integrated, the defects of single-target research are overcome, massive inhibitor data in a public database are fully utilized, and the data utilization rate and the research efficiency are remarkably improved; the method is especially suitable for environmental pollutant toxicity mechanism evaluation and multi-target activity prediction and pathway mechanism analysis of candidate compounds in drug research and development.

The application provides a kind of light cleaning simulation analysis method, device, electronic equipment and storage medium, it relates to light cleaning technical field.The method comprises the following steps: obtaining the geometric model of light cleaning chamber, and setting simulation parameters for the geometric model;Add geometric optical physical field and laminar flow physical field in the geometric model;Set material initial condition to the geometric model;By ray tracing to the geometric optical physical field and steady-state solution to the laminar flow physical field, simulate the ultraviolet irradiance and gas flow field inside the light cleaning chamber, obtain simulation result;By simulating and analyzing the simulation result, obtain simulation analysis result.The method of the application aims to solve the problem that the existing light cleaning technology lacks effective guidance when exploring the gas path and light source layout, resulting in low research efficiency and high trial and error cost, to improve the efficiency of research exploration and reduce the cost of exploration in experiments.

The invention discloses a method for analyzing a toxic target of evodiamine based on a network toxicology system. The method comprises the following steps: SA, locking the toxic target; wherein the step SA comprises the following steps: step SA1, obtaining a potential toxic target spot of evodiamine of each toxic object in at least two toxic objects; sA2, locking a core toxic target spot of each toxic object; step SA3, locking a comprehensive core toxicity target spot; the comprehensive core toxicity target spot is a core toxicity target spot simultaneously existing in all toxic objects; wherein the sequence of the step SA1 and the step SA2 is not different. Based on the steps, the method not only locks the core toxicity target spot of each toxicity redemption, but also further locks the core toxicity target spots existing in all toxic objects at the same time, and can help to guide subsequent research to preferentially and sequentially determine research key points, improve research efficiency and save manpower and material resources.

This invention discloses an intelligent archival compilation and research method and system based on intelligent agents, belonging to the field of archival data processing technology. By extracting keywords from archival data, and then generating corresponding summaries based on the extracted keywords, intelligent agents are used to realize intelligent archival compilation and research based on the keywords and summaries. This can significantly improve compilation and research efficiency, reduce compilation and research costs, promote the development and utilization of archival resources, and make intelligent archival compilation and research more intelligent and personalized, bringing more possibilities to archival work.

The invention discloses a biological medicine reagent pipettor, relates to the technical field of medical experiment instruments, and aims to solve the problems that according to an existing pipettor, the liquid pumping force needs to be manually and accurately switched, a reagent erodes the interior due to slight carelessness, metering deviation and even potential safety hazards are caused, hand muscle fatigue and trembling can be caused by long-time fine operation, and the working efficiency is high. The device comprises a shell mechanism and an adjusting mechanism, and the interior of the shell mechanism is connected with the adjusting mechanism. The liquid suction speed of the liquid suction device can be slowed down without manual control, and dependence on manual control is reduced; and on the other hand, by slowly extracting the liquid, the liquid can be prevented from breaking through the suction head seal due to inertial impact and directly invading a precise pipeline in the pipettor, so that the use safety of the device is guaranteed, and the service life of the device is prolonged.

The invention provides a catalyst design optimization method and device based on a high-throughput platform, and the method comprises the steps: preparing a plurality of candidate catalysts based on a plurality of groups of material proportions and preparation parameters; based on a high-throughput platform, measuring the desulfurization rate and the denitrification rate of each candidate catalyst; taking the material ratio and the preparation parameters of each candidate catalyst as input, taking the desulfurization rate and the denitrification rate of each candidate catalyst as labels, and training to obtain a machine learning prediction model; on the basis of the machine learning prediction model, an optimized desulfurization rate, an optimized denitrification rate, an optimized material ratio and optimized preparation parameters are calculated by using an optimization algorithm; and judging whether the optimization result meets the requirement or not, and if the optimization result does not meet the requirement, taking the optimized material ratio and the optimized preparation parameters as a new round of experimental parameters to repeat the preparation unit process. Manpower and material resources can be greatly saved, the research and development period of the catalyst material is remarkably shortened, and the scientific research efficiency is improved.

The present application relates to a kind of porous material adsorption data acquisition method and system based on physical constraint artificial intelligence, the actual characteristics of the method in combination with porous material descriptor, define a kind of new adsorption amount prediction method with physical meaning, based on the method can quickly obtain the adsorption performance data of target material in given temperature and pressure range, to assist researchers to quickly assess the application potential of material, ultimately reach the purpose of accurate prediction, reduce material development cost, improve research efficiency.

The application provides an RWE design automation method and system based on artificial intelligence, and belongs to the technical field of artificial intelligence aided design. The method comprises the following steps: analyzing a research target text input by a user through a BioBERT-BiLSTM fusion model, extracting PICO elements and classifying research types; constructing a dynamic medical relationship graph based on medical entity data, and generating a 256-dimensional node feature vector; using an XGBClassifier model trained by a federal learning framework, combining a seven-dimensional feature vector to recommend an optimal research design scheme; calculating a candidate data source adaptation score through a graph attention network, and outputting a radar chart visualization report and a data source combination scheme; based on a regulatory rule knowledge base, using an adversarial verification mechanism to optimize covariant selection, and automatically generating a complete RWE design scheme containing executable code, SAP documents and regulatory checklists. The application realizes the full-process automation of real-world evidence design, effectively improves research efficiency and reduces the artificial error rate.

The invention relates to a highly-modularized reconfigurable experiment table system, and relates to the field of experiment tables. The device comprises a vertical function module, frame tables, a transverse function module, a storage reagent shelf and a storage hanging frame, the vertical function module is used for being arranged as a later-stage splicing base frame, the frame tables are detachably assembled on the end faces of the front side and the rear side of the vertical function module, the transverse function module is detachably assembled on the upper side of the interior of the vertical function module, and the storage reagent shelf is detachably assembled on the transverse function module. And the transverse function module is used for bearing the function module. The core problems of layout solidification, function coupling and poor customization of a traditional experiment table are solved, spanning from fixed equipment to an evolvable system is achieved, laboratory layout and functions can be synchronously evolved along with scientific research projects, the cost of the whole life cycle is reduced, the scientific research efficiency is improved, and the development cost is reduced. And the requirements of modern scientific research on space flexibility, function iteration speed and individuation requirements are met.

The invention discloses a human intestinal flora in-vitro simulation culture and multi-dimensional function detection system, and belongs to the technical field of intestinal flora research. The system comprises an intestinal flora sample preparation module, a flora in-vitro anaerobic culture module and a flora multi-dimensional analysis module, a human excrement sample is collected through an anaerobic sampling tube, long-term stable preservation of the sample is realized by adopting a composite scheme of '40% glycerol + anaerobic treatment + improved GAM culture medium + liquid nitrogen preservation ', an anaerobic simulation environment with the temperature of 37 DEG C and O2 < 0.1% is constructed in a locked cuvette, and the intestinal flora in-vitro anaerobic culture module and the flora multi-dimensional analysis module are analyzed. High-throughput sequencing and multi-dimensional analysis technologies are combined, so that accurate analysis of flora structures and functions is realized. The method is high in sample representativeness, high in storage stability, good in simulation physiological fitness, high in research efficiency, low in cost and suitable for multiple fields of probiotic screening, drug metabolism, disease mechanism research and the like, and a standardized and high-fidelity in-vitro platform is provided for intestinal microecology research.

This invention provides a method and system for updating a knowledge network, acquiring a multi-source collection of scientific research knowledge on pediatric oncology, encompassing structured and unstructured knowledge from multiple disciplines. It utilizes a large-scale scientific research model to align and integrate interdisciplinary knowledge, generating a pediatric oncology research knowledge network. Based on explicit associations, it generates queries and hypothesis-guided directions, constructs a multi-step interdisciplinary reasoning chain to uncover intrinsic connections, predicts potential biological mechanisms or treatment strategy optimization directions in pediatric oncology research, and supplements the knowledge network to complete dynamic updates. This invention achieves the organic integration and dynamic updating of pediatric oncology knowledge, ensuring the knowledge network remains synchronized with the latest research findings, thus improving research efficiency and promoting continuous progress in pediatric oncology research.

The invention discloses an electrowetting liquid lens and a preparation method and a preparation system thereof. The electrowetting liquid lens includes: a packaging housing; the transparent electrode is arranged on the bottom wall of the packaging cavity; the side wall electrode is provided with a through cavity, the transparent electrode seals and covers the lower end of the cavity to define a liquid carrying cavity, an assembly ring is arranged on the peripheral wall of the side wall electrode, and the side wall electrode is in hole-shaft fit with the packaging shell through the assembly ring; the electrode sealing piece is connected with the transparent electrode and the side wall electrode; the light-transmitting cover is bonded with the side wall electrode and covers the liquid carrying cavity; the first electrical connecting piece is connected with the side wall electrode; the second electrical connecting piece is connected with the transparent electrode; and the packaging clamping ring is used for centering and clamping and is in threaded connection with the packaging shell. According to the electrowetting liquid lens, the assembly coaxiality can be guaranteed and improved, rapid assembly and iteration can be realized, the zoom mechanism research efficiency can be improved, the cost is low, the reliability is high, and the stability is good.

The invention relates to a systemic lupus erythematosus animal model and a construction method and application thereof, and belongs to the technical field of disease animal model construction methods. The animal model construction method for systemic lupus erythematosus comprises the following steps: hybridizing a female mouse of a C57BL / 6 strain as a female parent with a male mouse of an SJL / J strain as a male parent to generate an F1-generation hybrid mouse, and the F1-generation hybrid mouse is more likely to have a lupus phenotype. Compared with a C57BL / 6 female parent, the animal model for systemic lupus erythematosus, provided by the invention, can develop typical symptoms of lupus more quickly and more remarkably, so that the experimental period is greatly shortened, and the research efficiency is improved. Based on the C57BL / 6 background, subsequent fine genetics and mechanism research is facilitated. The method can be obtained through traditional breeding without complex gene operation, is good in stability and high in repeatability, and provides an efficient and reliable new tool for lupus research.