25 results about "Genetic model" patented technology

The invention relates to a gold mine three-dimensional modeling and target prediction method based on multi-source data fusion. Aiming at the problems of low grade and large burial depth span of the layered hydrothermal gold deposit and two-dimensional limitation and distortion caused by single-source data existing in a traditional modeling method, a three-dimensional joint database is constructed by integrating multi-source data. According to the technical scheme, a three-dimensional joint database is utilized, earth surface, geological stratum, fault occurrence and trend information is determined, and a three-dimensional earth surface and structure model is constructed; based on an explicit and implicit combined modeling method, three-dimensional space distribution of two-long-spot rocks is determined, and a three-dimensional lithologic model is constructed; a structure-lithology coupling constraint modeling method is innovatively adopted, and a three-dimensional grade model is constructed by utilizing an implicit modeling method under the common constraint of a structure model and a lithology model; and finally, target area delineation is carried out according to the three-dimensional geologic model. Compared with a traditional method, the method has the advantages that the problem of distortion of model construction caused by a single data type is effectively solved, and accurate depiction of the ore body is realized. And the constraint of the cause mode on the three-dimensional model is highlighted, so that the target region delineation is more in line with geological knowledge.

The invention provides a construction method and application of a dilated cardiomyopathy animal model, belongs to the technical field of biological medicine and animal genetic model construction, and provides a novel dilated cardiomyopathy zebrafish model which is constructed by specifically overexpressing a truncated dnajb6b gene long isomer fragment in zebrafish myocardial cells. The nucleotide sequence of the gene segment is as shown in SEQ ID NO. 1; the invention also provides a construction method and application of the dilated cardiomyopathy zebra fish model, and further discovers application of 4-phenylbutyric acid in preparation of drugs for treating dilated cardiomyopathy.

The invention relates to the technical field of data analysis, in particular to a rural domestic sewage treatment information management system, which comprises a sewage treatment station layout optimization module used for collecting related information of sewage treatment stations established in rural areas and performing site selection and optimization on the sewage treatment stations according to the related information by adopting a constructed double-layer optimization model, outputting a sewage treatment station site selection scheme; wherein the double-layer optimization model comprises an upper-layer model and a lower-layer model; the upper layer model adopts a clustering analysis model to screen out a candidate site set under the condition that constraint conditions are met; and the lower layer model adopts a genetic model, outputs a candidate station set to the upper layer model, optimizes the investment cost and the service coverage rate, and generates and outputs an optimal sewage treatment station site selection scheme. According to the scheme, intelligent rural sewage station and treatment station layout and optimization can be carried out, and site selection requirements in multiple aspects are met.

The invention relates to the technical field of genes, in particular to preparation of a Trmt61a enzyme activity deleted zebrafish model, and the Trmt61a enzyme activity deleted zebrafish model is used for preparing a zebrafish strain which stably inherits trmt61aD181A-P2A-EGFP knock-in zebrafish strain. According to the invention, trmt61a D181A mutation site specificity is introduced into a zebra fish genome by using a CRISPR / Cas9 technology, and a zebra fish model with Trmt61a catalytic activity deficiency and tRNA m1A modification level significantly reduced is obtained. The zebrafish model fills the existing research blank, provides an available in-vivo research model for biological development regulation mechanism research related to tRNA m1A epigenetic modification and pathological mechanism analysis of diseases (such as malignant tumors and hematopoietic dysfunction), and can be directly used for exploring the core effect of the epigenetic modification in development and diseases.

The invention provides a Word document processing method and system based on a DNA genetic model, and relates to the technical field of document processing, and the method comprises the following steps: carrying out homogenization determination on two basic Word documents; splitting the document which is judged to be homogeneous into a chain A and a chain B, and performing variation processing on a title block; crossing and recombining to form two sub-documents; and evaluating the sub-documents based on the adaptive function, and adding the sub-documents with evaluation results higher than a threshold value into a resource pool. According to the method, diversified documents are generated by simulating a DNA genetic mechanism, the document generation efficiency is improved, different user requirements are met, and the content creation cost is reduced.

The application provides a method for constructing an animal model of dilated cardiomyopathy and application, belongs to the technical field of biological medicine and animal genetic model construction, provides a new zebrafish model of dilated cardiomyopathy, is constructed by specifically overexpressing a truncated dnajb6b gene long isoform fragment in zebrafish myocardial cells, the nucleotide sequence of the gene fragment is shown as SEQ ID NO. 1, and the method for constructing the zebrafish model of dilated cardiomyopathy and application are provided, and it is further found that 4-phenylbutyric acid is applied to the preparation of a drug for treating dilated cardiomyopathy.

The invention discloses a method for establishing a cross-generation genetic model of rats attacking nutritional imbalance twice, and relates to the technical field of animal model establishment, and the key points of the technical scheme are as follows: starting from the angle of paternal line, selecting SD male rats of 3 weeks old, adaptively feeding for 1 week, then starving and feeding for 4 weeks, and finally feeding for 17 weeks with high fat, evaluating the phenotype of fatty liver, and establishing the cross-generation genetic model of rats attacking nutritional imbalance twice. And establishing a parent (F0) which attacks the nutritional imbalance twice. After the parent generation (F0) and the normal exposed parent generation (F0) are mated, the male offspring (F1) is given with common diet and high-fat diet respectively, then after the parent generation (F0) and the normal exposed female generation (F0) are mated, the male offspring (F2) is given with common diet and high-fat diet respectively. According to the method, the fatty liver phenotype of the male rat of the F0-F2 model can be determined, and the glucolipid metabolism pathway and function change of the parental generation and the offspring generation can be known through an isotopic tracing technology, metabonomics and transcriptomics.

The present invention relates to the technical field of coal-bearing stratum condensate gas genesis analysis, and in particular to a coal-bearing stratum condensate gas genesis model evaluation method. 13 The error caused by the natural gas maturity calculated by C1 is used to study the origin of coal-bearing condensate gas efficiently and at low cost. 13 C1 and natural gas drying coefficient C1 / C 1‑5 Carry out natural gas source comparison in coal-bearing strata, conduct oil-source comparison through characteristic biomarker compounds, clarify the organic matter type and maturity distribution stage of coal-bearing source rocks, and clarify whether coal-bearing source rocks themselves can generate condensate gas. Based on the distribution characteristics of the PVT phase state of oil and gas reservoirs in the oil and gas reservoir profile, combined with the coal-bearing source rock type, oil-source comparison and whether the source rock itself can produce condensate gas, comprehensively evaluate the cause of condensate gas in coal-bearing strata.

The present invention belongs to the field of information technology application innovation technology, and specifically relates to a data storage method for a trusted terminal, the method comprising: establishing a data circulation model based on the data source and data flow of each data; establishing a data genetic model based on the idea of genetic algorithm and the data circulation model; obtaining the importance of each data set according to the genetic performance of each data in the data genetic model; obtaining the heat change model of each data set based on the retrieval record of each data and the straight line fitting method; obtaining the number of backups of each data set according to the importance of the data set and the heat change model of the data set, and obtaining several backup plans; obtaining the excellence of each backup plan according to the genetic performance of the nodes in each backup plan in the data genetic model; and storing data with the backup plan with the greatest excellence. The present invention improves the storage security of trusted terminal data and reduces storage costs.

This invention relates to the field of gene technology, and more particularly to the preparation of a zebrafish model lacking Trmt61a enzyme activity, for the purpose of preparing a stable genetic model. trmt61a D181A -P2A-EGFP Knock-in zebrafish strains. This invention utilizes CRISPR / Cas9 technology to... trmt61a d181a trmt61a d181a The mutation site was specifically introduced into the zebrafish genome, resulting in the loss of Trmt61a catalytic activity and tRNA m 1 A zebrafish model with significantly reduced tRNA modification levels. This zebrafish model fills a research gap and provides a basis for tRNA m... 1 A provides a usable in vivo research model for studying the biological developmental regulatory mechanisms related to epigenetic modifications and elucidating the pathological mechanisms of diseases (such as malignant tumors and hematopoietic dysfunction), which can be directly used to explore the core role of this epigenetic modification in development and disease.

The invention discloses a colorectal cancer related genetic molecular marker with an interaction effect with drinking and application of the colorectal cancer related genetic molecular marker. The genetic molecular marker is a combination of rs61355123, rs17624213, rs3791337, rs190489984 and rs2290476. According to the method, the limitation that a traditional genetic model only pays attention to the genetic main effect is broken through, and the multi-gene risk scoring model integrating environmental factors is constructed by recognizing a group of key SNP loci having remarkable interaction with drinking behaviors. The gene-environment collaborative assessment mechanism realizes more accurate risk stratification for drinkers. Clinical test data show that compared with a traditional genetic model, the genetic score of the integrated genetic marker provided by the invention has the following advantages: (1) the prediction accuracy is improved; (2) the clinical practical value is prominent; and (3) the intervention pertinence is enhanced.

The invention discloses an exit pupil uniformity optimization method based on a polarization body holographic grating, and the method comprises the steps: stipulating a limiting function and an optimization target, and determining a to-be-optimized parameter; performing optimization convergence on the to-be-optimized parameters through a self-compiled genetic model algorithm to obtain optimized parameters; after the optimized parameters are subjected to data processing, whether the optimized exit pupil uniformity reaches an optimization target or not is judged, if the optimization target is not reached, the self-compiled genetic model algorithm is repeated until the optimization target is reached, and the parameters reaching the optimization target are obtained; and finely adjusting the parameters which reach the optimization target in a negligible error range to obtain optimized actual parameters. According to the method, the defects that parameters are finely adjusted through experience according to conclusions and experiments are repeated at present are overcome, the uniformity optimization efficiency and accuracy are improved, and compared with an existing optimization algorithm model, the method has the advantages of avoiding falling into a local optimal solution and multi-objective optimization, and it can be ensured that the optimization result is more reliable.

The invention relates to an application of a sugarcane Spon.01G0015510 gene and a rice homologous gene of the sugarcane Spon.01G0015510 gene in regulation and control of photosynthetic efficiency of plants. According to the invention, by analyzing a genetic model of a natural population, determining a genetic law of sugarcane photosynthetic traits, carrying out SNP excavation for controlling the photosynthetic traits of sugarcane leaves by utilizing whole genome association analysis, and further positioning corresponding genes through significantly associated SNP, the sugarcane Spon.01G0015510 gene capable of regulating the photosynthetic efficiency of plants and the rice homologous gene thereof are obtained, and the application of the sugarcane Spon.01G0015510 gene in the field of plant photosynthetic efficiency regulation is realized. The method is used for screening, identifying and breeding high-photosynthetic-efficiency varieties of plants, and lays a foundation for high-photosynthetic-efficiency molecular breeding of the plants.

This invention provides a method and system for three-dimensional modeling of karst development zones based on geological genetic models, relating to the field of computer technology. First, a set of basic geological survey data for the target geological region is acquired. This data is then processed using a geological structural framework analysis to obtain a set of structural framework control features, including the spatial distribution morphology of fold axes and the intersecting relationships of fault networks. Based on the set of structural framework control features and the stratigraphic lithology distribution record set, a karst geological genetic model is reconstructed, generating a coupling relationship diagram of the main controlling factors of karst development and an evolutionary sequence of karst development stages. The coupling relationship diagram of the main controlling factors and the stage evolution sequence drive the three-dimensional geological modeling process, generating a three-dimensional geological model of the karst development zone that includes spatial morphological information and zonal identification information of the karst development degree. This invention deeply integrates geological genetic models with three-dimensional modeling, significantly improving the geological rationality and spatial accuracy of the model.

Disclosed are methods for evaluating genetic models that are predictive of autoimmune disease phenotype or status. The methods comprise obtaining genotype data from bone marrow transplant recipients and donors. The autoimmune disease phenotype of the transplant recipient after the transplantation may be used evaluate the effect of genotype on the autoimmune disease. Phenotype comparisons may be made to the transplant donor and / or the transplant recipient prior to the transplantation. The methods may be used to validate genetic models associated with autoimmune disease. The genetic models may be based on one or more genetic variants associated with susceptibility to or protection from an autoimmune disease.

The invention relates to the technical field of optimal solution search, in particular to a genetic model-based artificial intelligence optimal solution search method, which comprises the following steps of: generating an initial population by utilizing a Latin hypercube sampling method according to a constraint condition, uniformly distributing individuals in a solution space, calculating individual fitness values, constructing a fitness distribution histogram, and performing optimal solution search. Genotype and phenotype diversity indexes are monitored in real time, when the diversity indexes reach a specific threshold value or meet early warning conditions, gradient descent local search is performed on the optimal individual, a dynamic step length adjustment strategy is adopted to optimize the search process, validity verification is performed on an optimization vector, and when local search is not triggered, the optimal individual is subjected to gradient descent local search. According to the method, the hierarchical selection, single-point crossover and Gaussian mutation operations are performed on the population, and the boundary of a variation individual is repaired, so that the problems of insufficient population diversity control and easy local optimum in a complex solution space in a traditional method are solved, and the search efficiency and the result quality are improved.

This invention discloses a AIPL1 A gene mutation-related congenital amaurosis animal model, its construction method, and its application. The method includes: S1, constructing a humanized... AIPL1 S2, a homologous recombination vector with a point mutation of c.421 C>T (p.Q141X) knocked in; S3, Cas9 mRNA, gRNA1, gRNA2 and the homologous recombination vector are injected into animal zygotes to perform homologous recombination, resulting in transfected zygotes; S4, the transfected zygotes are transplanted into the uterus of pseudopregnant animals to reproduce offspring, and offspring are selected from the offspring. AIPL1 Homozygous animals with the c.421 C>T (p.Q141X) point mutation were obtained, thus yielding the aforementioned... AIPL1 A gene mutation-related congenital amaurosis animal model. The animal model of this invention exhibits the clinical phenotype of Leber congenital amaurosis type 4 (LCA4) from 12 days after birth; while heterozygous mice do not show a significant phenotype, consistent with... AIPL1 The clinical phenotype and inheritance pattern of LCA caused by the c.421 C>T (p.Q141X) gene mutation demonstrate the effectiveness and reliability of the animal model of this invention, providing a basis for understanding the genetic model of LCA. AIPL1 Animal models provide a reliable basis for studying the disease mechanisms and drug screening of mutation-related LCA.

The invention provides a pathogenic variation site data interpretation method, system and device and a storage medium, and aims to evaluate the pathogenic condition of variation sites and solve the problems of low screening positive rate and low accuracy rate of existing genetic variation sites, the method comprises the following steps: firstly annotating a variation site list of a to-be-detected sample; expanding information such as gene functions, gene expression, related diseases and the like, segmenting a variation site list into corresponding sub-lists according to different genetic models, breaking up the whole into parts, and gradually analyzing; finally, variation pathogenicity evidence conversion is carried out in each sub-table, potential pathogenicity variation sites are mined from the two aspects of the gene level and the variation level, uncertain interpretation results are reduced, and the detection positive rate is increased.

The present invention provides a task scheduling method and device. The method includes: determining the mapping relationship between the task set and the task processing object set based on the problem description information of the task set and the skill domain information of the task processing object set; analyzing the mapping relationship between the task set and the task processing object set using an improved genetic model, and determining the global optimal task allocation strategy based on the fitness corresponding to the task processing object; wherein the fitness corresponds to the load factor of the task processing object and the residence time factor of the task assigned to the task processing object. The task scheduling method disclosed in the present invention can avoid falling into the local optimal task allocation strategy, balance the scheduling cost and scheduling efficiency, improve the stability and accuracy of the task scheduling allocation strategy, and improve the flow efficiency of customer problems, thereby optimizing the customer service experience.

The application provides a kind of intelligent driving image recognition algorithm training data set intelligent production method, first acquisition multi-source data set, multi-source data set composition factor is decomposed gradually, determine the discrete value of multi-source data set composition factor, generate sample set based on the genetic model constructed in advance, and calculate the similarity of sample set based on the effectiveness evaluation model constructed, and determine the effectiveness of sample set according to sample set similarity index, if the effectiveness of the sample set is reasonable, the genetic model stops iteration, and the data set with known effectiveness is obtained, otherwise, the genetic model will continue to select, cross, mutation operation, until the data set with reasonable effectiveness is obtained. The iteration process of genetic model can eliminate invalid data set and improve the production quality of data set.

The invention relates to an application of a sugarcane Spon.02G0019190 gene and a rice homologous gene of the sugarcane Spon.02G0019190 gene in regulation and control of the photosynthetic efficiency of plants. The CDS sequence of the sugarcane Spon.02G0019190 gene is as shown in SEQ ID NO. 1 or SEQ ID NO. 2. According to the invention, by analyzing a genetic model of a natural population, the genetic law of the sugarcane high photosynthetic efficiency character is determined, SNP mining for controlling the sugarcane high photosynthetic efficiency is carried out by utilizing whole genome association analysis, and fine positioning is further carried out on a target fragment, so that two SNP molecular markers significantly related to the plant high photosynthetic efficiency are creatively obtained; according to the present invention, the sugarcane Spon.02G0019190 gene capable of regulating and controlling the plant photosynthetic efficiency and the rice homologous gene thereof are obtained by using the Spon.02G0019190 gene and the rice homologous gene thereof, and are used for screening, identifying and breeding the plant high photosynthetic efficiency variety so as to lay the foundation for the high photosynthetic efficiency molecular breeding of the plant.

The application relates to a shared bicycle parking point location method and system based on multi-point joint distribution, which comprises the following steps: acquiring information of multiple demand points and multiple alternative parking points, and determining optimization targets and / or constraint conditions of a non-dominated sorting genetic model of multi-point joint distribution according to the information; generating an initial population of the non-dominated sorting genetic model based on a binary and integer combined chromosome coding mode; calculating non-dominated levels and crowded distances of each chromosome; screening the initial population by using a tournament selection method, and performing crossover and variation on the screened population based on a position vector crossover operator and a mutation operator to obtain a child population; and iteratively processing the parent population based on an elite strategy and the non-dominated levels and the crowded distances until an optimal solution meeting one or more constraint conditions is found. The application establishes an NSGA-II model based on multi-point joint distribution, and optimizes genetic operators in the model, so that the practicability of the model is improved.

The present invention provides a method for constructing an animal model of neurotrophic keratitis and its application, and relates to the technical field of animal models. Cre Mice were co-housed with ROSA26i-DTR mice, and the offspring were genotyped. After screening for TRPV1-DTR double-heterozygous mice, these TRPV1-DTR mice were intraperitoneally injected with diphtheria toxin. Twenty-one days after treatment, a mouse model of neurotrophic keratitis was established. This invention, developed using widely used experimental mice, is the first genetic NK model. The model is simple, stable, and has a short lifespan. It aligns with clinical staging and meets clinical disease progression criteria.

The application provides a multi-target DNN inference task deployment method and system facing operation reliability and time delay, and the method comprises the following steps: receiving a DNN inference task proposed by a mobile device; acquiring a physical network topology graph containing a central cloud server, an edge server and the mobile device; acquiring a preset population quantity and a maximum iteration number for multi-target DNN inference task deployment optimization; finding an optimized DNN inference task deployment by using a multi-target genetic model, generating population individuals according to the population quantity, performing multi-time iteration optimization on all population individuals, and outputting the found optimized DNN inference task deployment result after the iteration reaches the maximum iteration number. Wherein, the physical network topology graph and the DNN inference task are taken as inputs of the multi-target genetic model, the multi-target optimization direction of the multi-target genetic model contains high operation reliability and low delay, and the constraint condition of the multi-target genetic model contains inference total time delay constraint.

A construction method of a gene model for identifying a new subtype of hepatocellular carcinoma, and the use thereof. The method comprises: comparing transcriptome data of multiple patient samples identified pathologically as hepatocellular carcinoma, clustering the data, then selecting a subtype which cannot be fully mapped to a TCGA LIHC sample and designating the subtype as an HCC_1 subtype, obtaining a differentially expressed gene between the HCC_1 subtype and other subtype samples, and constructing, on the basis of the differentially expressed gene, a gene model that identifies the new subtype of hepatocellular carcinoma, wherein the higher the score outputted by the genetic model, the greater the probability of the hepatocellular carcinoma belonging to the HCC_1 subtype and the worse the prognosis.