12 results about "Genetic model" patented technology

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 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.

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 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.

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 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 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.