21results about How to "Improve research efficiency" patented technology

This invention discloses a method and related equipment for processing molecular file information. The method includes: constructing and generating chemical reactions of molecules with different reaction conditions according to the categories of reaction molecules; reading molecular file data from a target folder and extracting three-dimensional and two-dimensional structural information; concatenating the three-dimensional and two-dimensional structural information to obtain two-dimensional and three-dimensional molecular data; combining and arranging the two-dimensional and three-dimensional molecular data according to a reaction plate to obtain reaction data with two-dimensional and three-dimensional molecular information; reading the actual yield of each reaction in the molecular file data, adding the actual yield to the reaction data, and cleaning the reaction data to obtain a target dataset. This invention processes molecular file information to generate a reaction dataset of conditional molecules containing two-dimensional and three-dimensional structural information, and applies these two dimensions of information to deep learning to predict reaction yields, improving the efficiency and accuracy of molecular research.

The morphological constraint-based three-dimensional reconstruction method for cell nuclei comprises the following steps: S1, acquiring a confocal slice sequence and corresponding metadata of a cell nucleus to be reconstructed; S2, performing dynamic level-based image enhancement processing on the confocal slice sequence to form an enhanced slice sequence; S3, performing structure constraint-based marker watershed segmentation on the enhanced slice sequence, obtaining an initial segmentation result layer by layer, introducing an interlayer structure consistency constraint mechanism to correct the segmentation result, and obtaining a cell nucleus mask sequence with continuous structure; and S4, stacking the cell nucleus mask sequence according to layer sequence to construct three-dimensional binary voxel data, complementing the interlayer structure based on a shape interpolation method, and generating a three-dimensional grid model of the cell nucleus through isosurface extraction. The method solves the problems of insufficient stability of the segmentation result and discontinuity of the interlayer structure in the prior art for three-dimensional reconstruction of cell nuclei.

The application discloses a kind of defective component life prediction methods, including calculating stress at defect;Numerical model is established, initial crack length and crack critical final length are set, and crack tip grid is divided;The extension angle and local extension displacement of each node of crack tip in crack propagation process are calculated;Numerical model is updated, and the number of crack tip nodes is determined;The propagation distance of all crack tip nodes is weighted average smoothing processing, and crack propagation length is obtained;Whether crack propagation length is less than crack critical final length is judged;When crack propagation length reaches crack critical final length, crack propagation displacement and cycle number function relationship are constructed according to crack propagation length and cycle number of crack propagation process;The life of defective component is predicted according to crack propagation displacement and cycle number function relationship.The application improves the comprehensiveness and accuracy of life reliability evaluation, can effectively reduce the number of actual test, improves research efficiency.

The application discloses a kind of soft rock slope bridge pile foundation model test device and method considering rainfall earthquake coupling, test device includes model box, the bottom of model box is equipped with vibration table, the inner top of model box is equipped with spraying device;The bottom of model base is equipped with horizontal calibration device, group pile system is also provided in model box, group pile system includes parallelly arranged friction pile and end bearing pile, and friction pile and end bearing pile are implanted in slope model;It further includes monitoring system, and the parameter change of soft rock moisture content and pile foundation settlement, lateral displacement and pile strain is monitored;Data collection system obtains slope model data scanning, and the multi-field coupling data of displacement field, seepage field, stress field and temperature field are synchronously collected.The application realizes the whole process observation to the deformation and failure process of soft rock slope under water-power coupling condition, reveals the load transfer law and disaster mechanism of pile foundation in complex environment, provides theoretical basis and technical support for bridge pile foundation design and disaster prevention and control in soft rock area.

The invention relates to a micro-fluidic mediated static and dynamic collaborative cell culture chip and application thereof, relates to the technical field of biotechnology, and aims to solve one of the problems that in the prior art, a real mechanical microenvironment in a body is difficult to re-engrave through static culture, and a chip device capable of synchronously implementing static and mechanical stretching dynamic biphase culture is lacked. The invention discloses a microfluidic-mediated static and dynamic collaborative cell culture chip and application thereof. The microfluidic-mediated static and dynamic collaborative cell culture chip comprises a cell culture chip and a pneumatic system matched with the cell culture chip for use, the cell culture chip comprises a micro-flow regulation and control chamber and a culture chamber, and the pneumatic system adjusts air pressure in the micro-flow regulation and control chamber to drive local movement of the bottom surface of the culture chamber, so that to-be-cultured cells are simultaneously subjected to dynamic culture and static culture in the culture chamber. Static culture and dynamic culture can be synchronously carried out in the same chip, an in-vivo mechanical microenvironment is effectively copied, and static and mechanical stretching dynamic biphase culture is synchronously implemented.

The invention discloses a table look-up type deformation matching and electromagnetic mapping digital twinning system and a table look-up type deformation matching and electromagnetic mapping digital twinning method. The system pre-constructs a multi-physical field simulation database with speed as a main key, stores a deformation three-dimensional model, pressure field data, radar cross section (RCS) data and feature point displacement, and establishes a reduced scale model deformation-speed association list. In the manual mode, the speed is directly input to call corresponding multi-physical field data; in an automatic mode, the displacement of the feature points of the reduced scale entity model is detected in real time through a displacement detection module, the current deformation quantity is calculated, a speed major key is reversely matched by adopting a minimum absolute difference method based on the association list, and then corresponding multi-physical field data is called; and synchronously displaying the deformation three-dimensional model, the pressure field pseudo-color distribution and the RCS map on a visual rendering platform, and realizing digital mapping from entity deformation to a multi-physical field state.

The invention discloses a model building method based on animal endometrial epithelium organoid and application of the model building method, and relates to the technical field of cell engineering and organoid. According to the method, healthy cow endometrial tissue serves as a raw material, a model is built through the steps of pretreatment, enzymolysis, cell cleaning and screening, seed gum culture, passage, cryopreservation resuscitation and the like, and the model is built through Hamp; e, verifying morphological integrity through dyeing, and detecting E-cadherin expression through IHC dyeing to confirm cell specificity. The animal organ model restores the in-vivo three-dimensional microenvironment and species specificity, overcomes the limitation of traditional two-dimensional culture and mouse models, can accurately simulate the pathological process of endometritis, is applied to research on the pathogenesis of endometritis of dairy cows, can also efficiently screen anti-inflammatory drugs and evaluate the drug effect, and has a wide application prospect. A reliable in-vitro tool is provided for disease prevention and treatment, and healthy development of the dairy cow breeding industry is assisted.

This invention discloses a coupled analysis method for phase change sweating cooling of turbine blades, comprising the following two aspects: highly robust numerical calculations for phase change sweating cooling of porous media, improving the convergence of numerical simulations of phase change divergent cooling; and a parameterized porous media structure generation method based on tunable lattice units to obtain porous media with the required porosity. This invention effectively improves the computational efficiency for studying phase change sweating cooling of porous media. Simultaneously, by designing and optimizing the structure of different lattice units, porous media with the required porosity can be obtained. This invention is of great significance in the optimized design of cooling structures and the improvement of cooling performance, providing a technical guarantee for the study of the sweating cooling law of porous media.

This invention relates to the field of biotechnology, specifically to a method for elucidating the interaction complex between the BTVNS2 protein and host cells. The method involves constructing an initial list of host proteins through cross-validation using affinity purification-mass spectrometry and biotinylate proximity labeling-mass spectrometry. Weighted scoring and ranking are then performed based on quantitative mass spectrometry data and functional relevance. Binding characteristics are validated and quantified intracellularly and extracellularly using immunoprecipitation and biophysical techniques, respectively. The complex is assembled in vitro, and its high-resolution three-dimensional structure is resolved using single-particle cryo-electron microscopy. This invention addresses key problems in existing technologies, such as incomplete capture of interacting proteins, high false-positive rates, blind functional screening, and difficulty in obtaining samples suitable for high-resolution structural analysis due to reliance on single methods. It systematically identifies key host factors and ultimately reveals the precise structure of the interaction interface at the atomic level, providing a foundation for understanding viral replication mechanisms and developing antiviral strategies.

The present application relates to the technical field of ecological risk assessment test strategy, in particular to a method for predicting the content of biological enrichment factor by using QICAR modeling. The present application uses known BCF, metal physicochemical properties and corresponding regional soil physicochemical properties as data, uses the training of QICAR coupled machine learning model to obtain the prediction value of unknown heavy metal BCF in the target region, and screens the test set data through multiple rounds of cross-validation 2 and average absolute error MAE to evaluate the performance of the model to obtain the optimal model, and then evaluates the result through feature analysis and Shapley weighted explanation to obtain accurate and scientific prediction value, which provides effective support for the prediction of heavy metal enrichment capacity of crops and guarantees food safety.

The invention discloses a material microstructure interactive efficient three-dimensional reconstruction method, and relates to the technical field of material microstructure analysis and three-dimensional reconstruction, and the method comprises the steps: completing the selection of a target microstructure on a material microscopic image based on the prompt segmentation capability of SAM2; tracking a target microstructure in a material microstructure series section by using a memory mechanism of SAM2, and performing tracking optimization by modifying a memory code of a segmentation mask; introducing a tracking constraint condition of a morphological change trend of the microstructure between adjacent layers, and combining a bidirectional tracking strategy to obtain a corresponding relationship between target microstructure layers; and on the basis, a contour surface extraction algorithm is adopted to generate a corresponding three-dimensional structure model. According to the method, continuous tracking and high-quality three-dimensional reconstruction of the complex material microstructure can be achieved without retraining the model, and the method has the advantages of being high in universality, low in interaction cost and high in reconstruction stability and is suitable for three-dimensional representation and analysis of the material microstructure.

The invention provides a housing policy intelligent decision auxiliary method and system based on a large language model, and belongs to the technical field of housing policy decision support, and the method comprises the steps: constructing a market theory hypothesis based on a housing filtering mechanism; inputting proxy attributes and market variable data; based on an intelligent agent modeling technology, a simulation model for simulating housing decision behaviors of different income groups is constructed and operated, and market dynamics are deduced under various policy scenarios; key indexes such as transaction activeness, housing quality distribution and group structure in the simulation process are extracted and visualized; and finally, inputting the structured indexes into a large language model, and generating an intelligent decision-making auxiliary text containing scene analysis, result induction and policy suggestion. According to the method, the dynamic deduction ability of computational simulation and the semantic understanding ability of artificial intelligence are fused, refined and intelligent evaluation of the housing policy effect can be realized, and the scientificity and the foresight of housing policy design are effectively improved.

The application provides a helicopter environmental control simulation method and device, electronic equipment and storage medium, and relates to the technical field of environmental control systems. The method comprises identifying a target space of a helicopter according to first identification information of a plurality of environmental control simulation parameters; and performing distributed simulation on a ventilation state, a temperature state, a defogging state and a fault state of environmental control of the target space based on each environmental control simulation parameter and external environment data of the helicopter to obtain a simulation signal of the target space. The application can simultaneously perform environmental control simulation on at least one target space, thereby improving the environmental control simulation efficiency of the helicopter. The application can simultaneously perform distributed simulation on the ventilation state, the temperature state, the defogging state and the fault state of environmental control of the target space, can simultaneously research the environmental control simulation parameters of the ventilation state, the temperature state, the defogging state and the fault state of environmental control, and can improve the research efficiency of the environmental control parameters of the helicopter.

The application discloses an ancient Chinese automatic sentence breaking and semantic analysis system based on deep learning, and relates to the technical field of ancient Chinese analysis.The system combines a gating recurrent unit (GRU) and a convolutional neural network (CNN) through a sentence breaking module, combines image character features, and can effectively process semantic ambiguity, long-distance dependence, and problems of homophones and variant characters.A knowledge graph containing historical and cultural common knowledge and dynamic relationships between words is constructed through a semantic analysis module, prior knowledge is injected through a graph neural network, and the depth of semantic understanding is improved.A sentence breaking result containing sentence breaking basis and a visual semantic analysis result are provided through an output module, so that users can clearly understand the processing logic and the trustworthiness and convenience are improved.The system can efficiently process a large number of unlabeled ancient Chinese texts, fully excavate the value of various cultural heritage such as classics and inscriptions, promote the research progress of grammar and vocabulary, and help the inheritance and spread of ancient Chinese culture.

This invention discloses a model test measurement method for the cross-sectional load of a semi-submersible floating foundation, relating to the field of wind power generation technology. The method employs a multi-body segmented structure, dividing the semi-submersible floating foundation into multiple independent sub-structure models. These sub-structure models are connected using connectors to form a complete segmented floating foundation model. The connectors serve as connecting components for assembling the segmented floating foundation models and also as measurement carriers for strain sensors, acting as measurement elements for the cross-sectional load, with the cross-section to be measured positioned at their location. Based on the strain measurement method, FBG fiber grating strain sensors are used to measure the cross-sectional load, which includes axial force and bending moment. The FBG strain sensors are deployed on the surface of the measurement element. This invention utilizes a multi-body segmented structure to simulate wind turbine foundations and obtains the internal forces within the cross-section based on the strain measurement method, improving the research efficiency of floating wind turbine model tests and providing technical support for safety design.

The invention discloses a rock mass chemical-dry-wet cycle coupling degradation test device and method and a response model.The test device comprises a cabin body, a cabin plate used for blocking the cabin body is detachably arranged at the bottom of the cabin body, and a sample to be tested is placed on the cabin plate; a spray head for spraying a chemical solution to a sample and a heating device for drying the sample are arranged at the top in the cabin body, a fan for air-drying the sample is arranged on the side wall in the cabin body, and an observation window for conveniently observing the condition of the sample is also formed in the side wall of the cabin body; the device has the beneficial effects that a high-simulation coupling environment is provided, precise atomization and programmed drying are combined, high-precision coupling simulation of two degradation factors of chemical corrosion and physical dry and wet in time, space and strength is realized, and a field environment is reflected more truly.

This utility model discloses an ex vivo tissue fixation component, including an integrally formed fixation component with an arc-shaped end on one side and multiple slots on a straight end on the other side. The slots are arranged in parallel, with one end extending towards the arc-shaped end and the other end penetrating the straight end. The fixation components are sequentially engaged within a sample tube. This utility model provides an ex vivo tissue fixation component that, through its parallel slotted structure, can quickly fix ex vivo tissue in a preset position within a sample tube. This not only ensures the consistency and comparability of scan data from the same group of samples but also allows for the simultaneous processing of multiple samples in a single scan by sequentially engaging multiple fixation components within the sample tube.

This application discloses a method, apparatus, equipment, and storage medium for displaying wellbore data of oil, gas, and water wells, relating to the field of oil extraction. The method includes: displaying a visualization interface corresponding to a target oil or water wellbore, the visualization interface containing at least two visualization components, the visualization components being used to display wellbore data of the target oil or water wellbore in a visual manner; responding to a control operation on a first display content in a first visualization component, determining the target wellbore data indicated by the control operation; and updating a second display content of a second visualization component in the visualization interface based on the target wellbore data, wherein there is a correlation between the wellbore data displayed by the second visualization component and the wellbore data displayed by the first visualization component. In this embodiment, different wellbore data of oil and water wells can be centrally displayed in the same visualization interface, and data linkage between different visualization components can also be achieved, improving the comprehensiveness of wellbore information and the efficiency of wellbore research.

The application discloses a kind of based on quality factor furnace temperature field reconstruction effect comprehensive evaluation and pixel number parameter optimization method, it is related to furnace temperature field reconstruction technical field, including the quality factor of constructing fusion positive temperature cell ratio and root mean square error;Based on the quality factor, determine the pixel number threshold inflection point;According to the pixel number threshold inflection point, determine the optimal pixel number under different grid division.The application solves the one-sidedness problem that traditional single index is difficult to consider global error and local feature, realizes the all-round accurate judgment of furnace temperature field reconstruction effect;The improvement of reconstruction effect will tend to saturation, not only can guide the fast positioning of optimal pixel number under different grid division, greatly improve research efficiency, but also can effectively avoid reconstruction failure caused by insufficient pixel number or waste of computing resources caused by excessive pixel number, realize the optimal configuration of reconstruction precision and computing cost.

The application discloses an oil-water multiphase flow monitoring and identifying system based on microfluidics and fluorescence microscopy, and relates to the field of oil-water multiphase flow monitoring and identifying systems; comprising a microfluidic chip, a fluid injection control, a microscopic imaging, an image processing module and a produced liquid collecting device. The microfluidic chip is etched based on real core CT data and accurately simulates pore structure; the fluid injection control module realizes high-precision liquid injection and constant temperature control; the microscopic imaging module captures four-phase fluid dynamics through multi-band fluorescence imaging; the image processing module carries self-developed algorithms, can identify six types of remaining oil and complete multi-dimensional quantitative analysis, and the results can feedback injection parameters. The system solves the problems of real-time observation loss, high cost and indirect mechanism inference of traditional core experiments, realizes in-situ visualization of the displacement process, data precision and intelligent regulation and control, is suitable for chemical flooding mechanism research of complex reservoirs, and provides an efficient research platform for improving recovery efficiency.

The invention provides a research scheme generation method and device, electronic equipment and a storage medium, and relates to the technical field of automatic research design. The method comprises the following steps: finding knowledge fragments related to a research concept from a pre-constructed knowledge database according to the research concept, and generating a preliminary research scheme according to the knowledge fragments; screening out target data from a target database according to the preliminary research scheme, and if the target data does not meet a preset requirement, adjusting the preliminary research scheme and re-screening the target data until the target data meets the preset requirement to obtain an effective data set; and performing data statistical analysis on the effective data set, if a statistical analysis result does not accord with an expected result set by the preliminary research scheme, adjusting the preliminary research scheme until the statistical analysis result accords with the expected result, and combining a final statistical analysis result to generate a final research scheme. Through dynamic adjustment and a closed-loop feedback mechanism, the research scheme can be optimized in real time according to actual data feedback.