12 results about "Functional analysis" patented technology

The invention discloses a data-driven event trigger control method for a linear variable-parameter nonlinear system, which comprises the following steps: for a discrete-time nonlinear system with an unknown model, expressing the nonlinear system as a parameter-dependent linear form by using a linear variable-parameter embedding method; constructing a convex polyhedron-based noise matrix set for unknown bounded noise in the measurement data, and proposing polyhedral data-driven LPV system representation by using offline collected state, input and scheduling variable data; designing a bounded dynamic event trigger transmission mechanism, and optimizing the use of communication resources by adjusting a trigger threshold in real time and setting the upper and lower bounds of a transmission interval; based on a discrete time cycle functional analysis method, controller gain and trigger parameters are jointly designed through a linear matrix inequality tool. The method does not depend on an accurate system model, stable control over a nonlinear system is achieved only through historical data, the communication frequency is remarkably reduced, and meanwhile the system performance and robustness are guaranteed.

The invention provides a subcellular level space transcriptome function analysis method and system, and relates to the field of bioinformatics, the method comprises the following steps: automatically processing core information of a sample, and optimizing space transcriptome expression matrix data to realize expression matrix data reception and automatic processing; timed polling and the like are added to realize automation of standard analysis from a space gene expression matrix to a space transcriptome, and gene ID conversion, cell unit type selection and cell unit selection are performed according to expression matrix data to obtain data after selection; and according to the converted and selected data, carrying out statistics on spatial data features, and visualizing the data features. According to the method, through a multi-module automatic process, the analysis efficiency, accuracy and biological interpretation of space transcriptomics and single cell data are remarkably improved, and the method is suitable for multi-sample, high-resolution and big data analysis scenes.

The invention relates to a method for functional analysis of a source system (1), wherein a syntax tree model (3) is generated from the program code data of the source system (1). In order to propose a method for functional analysis of a source system (1), in particular with extensive program code data, which method makes it possible to better identify interrelated functional units and, with high result quality and at the same time low resource requirements, to improve further processing by means of a large language model, the invention provides that a syntax analysis unit (4) generates a syntax embedding model by decomposing the syntax tree model (3) into individual syntax element embeddings (5), each representing a syntax element, and stores said syntax embedding model in a syntax embedding model memory (6), and that a language analysis unit (8) generates a language embedding model by decomposing the program code data into individual language element embeddings (9), each representing a language element, and stores said language embedding model in a language embedding model memory (10), whereupon, by means of a query unit (12), at least one query embedding (13) is generated from a query (11) representing a functional element of the source system (1) and those syntax element embeddings (5) and language element embeddings (9) which lie within a predefined range of similarity to the query embedding (13) are retrieved from the syntax embedding model memory (6) and the language embedding model memory (10), whereupon the syntax elements represented by the retrieved syntax element embeddings (5) and the language elements represented by the retrieved language element embeddings (9) are transferred as result elements (14) to an output unit (15), which generates therefrom a functional description dataset (16) and outputs the latter.

The invention discloses development, preparation and application of a liquid phase chip for detecting wheat high-yield wide-application related traits, and belongs to the technical field of nucleic acid detection molecules. The technical problem to be solved by the invention is how to realize quick and accurate detection of multiple SNP sites of wheat. The chip for detecting the genotype of the SNP site of the wheat comprises a reagent for specifically detecting the SNP site, the SNP sites are 5452 SNP sites in a table 1; the position information of the SNP locus is determined by comparison on the basis of a wheat genome reference sequence Triticumastivum IWGSCv1.0 version, and the position information of the SNP locus is determined by comparison on the basis of the wheat genome reference sequence Triticumastivum IWGSCv1.0 version. The 5452 SNP molecular marker combination provided by the invention is strong in representativeness, high in polymorphism, good in universality, high in coverage rate on a genome and uniform in distribution, and is particularly suitable for applications such as chip preparation, molecular marker-assisted selection, directional improvement, important character gene mining and identification, function analysis and the like.

The invention relates to the technical field of nuclear power, and provides a natural circulation flow analysis method, which comprises the following steps of: performing functional analysis on a main loop, identifying modeling objects with different functions, summarizing thermal-hydraulic common characteristics of the modeling objects, and establishing a unified local segment class. Through an object-oriented instantiation mechanism, a function model of each modeling object is quickly generated, and then a complete main loop system model is constructed. Automatic exchange of physical quantities such as pressure, flow, enthalpy value, temperature and heat flow among local sections is realized by adopting a connector mechanism, and interface logic does not need to be written manually. The method supports fusion of the thermal hydraulic model and the point reactor neutron dynamics model, unifies the simulation environment, remarkably improves the modeling efficiency, flexibility and model reusability, is suitable for main loop natural circulation flow calculation, design optimization, operation analysis and safety evaluation, and provides efficient and accurate modeling and simulation support for a nuclear reactor main loop.

The invention belongs to the field of bioinformatics and computational biology, and provides a bioinformatics multi-omics association analysis method based on a co-disease model. Comprising transcriptome range correlation analysis based on GWAS and GTEx, causal analysis in a transcriptome range based on different Bayesian models, and screening and functional analysis of co-disease hub genes based on co-localization analysis and transcriptome data. According to the method, a complete technical system from macroscopic population queue genome analysis to human body multi-tissue fine positioning and then to microscopic cellular level gene target screening and verification is established, and a reliable target gene screening process and a mechanism analysis scheme are provided for precise prevention and treatment of metabolism and vasoplasmosis.

The application discloses a data-driven event-triggered control method for a linear parameter-varying nonlinear system, comprising the following steps: for a discrete-time nonlinear system with an unknown model, a linear parameter-varying embedding method is used to represent the nonlinear system in a linear form dependent on parameters; for unknown bounded noise in measurement data, a noise matrix set based on a convex polyhedron is constructed, and a polyhedron data-driven LPV system representation is proposed by using offline collected state, input and scheduling variable data; a bounded type dynamic event-triggered transmission mechanism is designed, the communication resource usage is optimized by adjusting a trigger threshold in real time and setting upper and lower bounds of a transmission interval; and based on a discrete-time cyclic functional analysis method, a controller gain and a trigger parameter are jointly designed by using a linear matrix inequality tool. The method does not depend on an accurate system model, realizes stable control of the nonlinear system only by using historical data, significantly reduces a communication frequency, and guarantees system performance and robustness.

The invention belongs to the technical field of hydrology and water resources, and relates to a hydrological station flow simulation method based on nonlinear reservoir equation parameter evaluation, which comprises the following steps: deducing the existence uniqueness condition of a nonlinear reservoir equation solution through a functional analysis theory, establishing a parameter constraint inequality, and performing forced execution in calibration; and a complete simulation framework suitable for the urbanized small watershed is constructed by combining an improved SCS runoff production, nonlinear slope confluence and river network lag calculation module. According to the method, the compression mapping theorem in functional analysis is creatively applied to hydrological nonlinear system modeling, so that a solid operable engineering constraint is provided for parameter determination of a nonlinear reservoir equation on the premise of not sacrificing physical authenticity; the method effectively solves the fundamental contradiction between the nonlinear potential of hydrological data and the solution reliability, enables the nonlinear groundwater confluence model to be stably and reliably integrated into a business hydrological forecasting system, is suitable for an urbanized drainage basin with strong groundwater response nonlinearity, and obtains an accurate simulation effect.

The present invention discloses a method for identifying ancient metagenomic fragments based on paired-end sequencing and its application, belonging to the technical field of gene detection. The present invention includes steps such as preprocessing, alignment, annotation, and functional analysis of sequence data. By performing efficient and accurate data processing and analysis on ancient metagenomic fragments, it can reveal the genetic information of ancient biological populations and their evolutionary history, providing important data support and technical guidance for fields such as archaeology, genetics, and environmental science. The present invention can not only overcome the limitations of traditional methods, adapt to different types of ancient samples, but also provide more comprehensive genetic information, promoting the in-depth development of ancient metagenomic research. Through the development and application of the new method, researchers will be able to more accurately analyze the structure and function of ancient microbial communities.

The present application belongs to the technical field of bio-information analysis, and provides a method for identifying lineage-specific expanded gene families. The present application is a method for screening and identifying lineage-specific expanded genes in different subfamilies by using orthology analysis. The method is simple to operate, requires a small amount of data, and the analysis software is easy to learn to operate. The screened genes are well representative, which lays a foundation for future large-scale identification and functional analysis of lineage-specific genes.

The invention discloses a non-cloning genomics analysis method based on a SCoT marker, which can directly restore 01 data into a simulation sequence of PCR (Polymerase Chain Reaction) according to an electrophoretogram by adopting a new data processing and statistical analysis method'primer replacement method 'without cloning and sequencing after completing SCoT electrophoresis on a to-be-detected target. Homologous genes are directly retrieved through bioinformatics analysis of SCoT sequences, classification analysis and function analysis are carried out according to the copy number, existence and distribution of SCoT differential genes, and the molecular basis of genetic diversity variation of genomes is completely revealed. According to the method, SCoT marker analysis is improved into SCoT omics analysis, bioinformatics analysis can be carried out by utilizing genomics big data, a molecular basis of genomic genetic diversity variation among different materials is disclosed, and the method has important significance and wide application prospects in improving the breeding efficiency, accelerating the breeding process and improving the fundamental research theory level.

This invention proposes an analytical method and system for the complex pulse impact response of aerospace structures, belonging to the field of aerospace structural dynamics analysis and design. The method includes: obtaining the structural parameters and pulse load parameters of the high-order elastic structure in aerospace and performing standardization; constructing a fundamental mathematical model of the boundary value problem of the high-order differential equations, substituting the standardized parameters into the corresponding terms of the fundamental model to obtain a parameter-determined model; solving the parameter-determined model based on variational methods and functional analysis, defining the solution space and displacement norm, constructing and decomposing the energy functional, and solving the energy functional to obtain the classical solution of the displacement response parameter-determined model; performing dynamic analysis based on the classical solution, and outputting an analysis report to provide a basis for structural strength verification and impact-resistant design. This invention achieves accurate solutions for the dynamic response of high-order elastic structures under complex pulses, providing a reliable theoretical and engineering basis for the impact-resistant design of aerospace structures.