41 results about "Geo database" patented technology

A system providing three-dimensional visual navigation for a mobile unit includes a location calculation unit for calculating an instantaneous position of the mobile unit, a viewpoint control unit for determining a viewing frustum from the instantaneous position, a scenegraph manager in communication with at least one geo-database to obtain geographic object data associated with the viewing frustum and generating a scenegraph organizing the geographic object data, and a scenegraph renderer which graphically renders the scenegraph in real time. To enhance depiction, a method for blending images of different resolutions in the scenegraph reduces abrupt changes as the mobile unit moves relative to the depicted geographic objects. Data structures for storage and run-time access of information regarding the geographic object data permit on-demand loading of the data based on the viewing frustum and allow the navigational system to dynamically load, on-demand, only those objects that are visible to the user.

In many environments such as municipal, military and construction the use of digital pen and paper systems permits end users to create or modify features on digital document, attributes associated with those features, or attribute values associated with those features. The attribute value management system includes a digital pen, at least one digital document, one or more computing devices, and a number of software programs for creating data relationships between the digital documents (e.g., features on maps and their underlying attribute values), interpreting voice or handwritten data, validating the interpreted data, and uploading the validated data to a geo-database. The attribute value management system functions to create, update or otherwise change the attribute values associated with the features by a temporal association method; a linked identification method; or a direct handwriting method.

The invention discloses a multi-camera cooperative target tracking method based on deep learning. The method is characterized in that a Faster R-CNN is adopted to carry out target detection; obtainingthe real position information of the target through the mapping relation between the image coordinates and the plane geographic space coordinates; target detection and tracking in a multi-camera video monitoring scene are realized, and the method specifically comprises the steps of constructing a spatial data model of a video monitoring system, constructing a mapping model, performing target detection based on deep learning and performing multi-camera cooperative target tracking. Compared with the prior art, the method has the advantages that the target tracking task is undertaken by screening one camera; the specific target is identified, positioned and tracked in a multi-camera video monitoring scene, the intelligent degree of a video monitoring system is improved, and the problems thatimage information is discrete, information is difficult to integrate, and the specific target is identified, positioned and tracked are well solved.

The invention relates to tumor-related IncRNA and tumor-related IncRNA function predication. By taking differential expression of IncRNA in tumors as diagnosis references, a process for finding a relation between IncRNA and tumors includes: step one, downloading data from GEO database, processing the data to obtain expression data of part of IncRNA and exons; step two, subjecting the processed expression data to differential expression analysis; step three, analyzing co-expression and differential coding genes and IncRNA for IncRNA in differential expression; step four, subjecting the coding genes to probe platform annotation; step five, further screening the IncRNA in differential expression to select out most obviously differential IncRNA; step six, performing enrichment analysis to obtain a GOBP process and pathyway, and speculating IncRNA functions through coding gene related biological processes; step seven, analyzing whether common coding genes obtained at the step six can enter blood, saliva and urine or not, analyzing genes which are allowed to enter, and taking the genes and IncRNA as potential predication marks of cancers.

The invention discloses a method for establishing a pancreatic cancer miRNA prognosis model and screening a targeted gene. The model comprises hsa-mir-424, hsa-mir-126, hsa-mir-3613 and hsa-mir-4772,nine key genes are identified, and the nine key genes comprise MMP14, ITGA2, THBS2, COL1A1, COL3A1, COL11A1, COL6A3, COL12A1 and COL5A2. According to the method for establishing the pancreatic cancermiRNA prognosis model, by means of TCGA and GEO databases, data is subjected to multi-step analysis through a plurality of R language installation packages and combines with clinical information, a Cox proportional risk regression model is established to search for prognosis biomarkers, the targeted gene of miRNA is predicted, the key genes related to pancreatic cancer are found out by utilizing Cytoscape, and related molecular functions and action mechanisms of the key genes are predicted through KEGG and GO analysis so as to search for new treatment targets and prognosis markers of pancreatic cancer patients.

Ad serving systems and methods integrate with a plurality, preferably all, geolocation providers/databases and enable an ad selection server to dynamically choose the right IP-to Geo provider for each ad being considered for selection. It also allows ad campaign managers to set up the ads with desired IP-to-Geo providers so that they are consistent with third party rich media creative delivery services.

The invention relates to application of miR-1912 and a target gene thereof in diagnosis and treatment of myocardial infarction. According to the application, expression data of miRNA and mRNA of myocardial infarction and healthy control are obtained by second-generation sequencing; meanwhile, bioinformatics analysis verification and molecular validation are performed by combining the miRNA and mRNA data related to the myocardial infarction in a GEO database; results show that the miR-1912 and the target gene ZDHHC18 thereof are closely related to the myocardial infarction, can be used for clinical diagnosis, prevention and detection of the myocardial infarction, and lay a foundation for the development of clinically relevant diagnostic reagents, chips or the like.

The invention discloses a GIS-based satellite coverage area rapid simulation method, which specifically comprises the following steps of: calculating geocentric angles of a satellite to-ground coverage domain and a satellite to-air coverage domain, and obtaining the geocentric longitude and geocentric latitude of a sub-satellite point by a spherical trigonometric formula; solving spatial data models of boundaries of the satellite to-ground coverage domain and the satellite to-air coverage domain; sequentially carrying out classification correction and Mercator projection processing on the spatial data models of the boundary of the satellite to-ground coverage domain and the boundary of the satellite to-air coverage domain to obtain spatial data models of the coverage domain boundaries on aMercator graph; and processing the spatial data models of the coverage domain boundaries on the Mercator graph through a GIS mapping technology to obtain a coverage domain Mercator projection graph of the satellite to a celestial sphere and a constellation coverage image generated by superposing a plurality of satellite coverage domains. The spatial data models of the coverage domain boundaries are classified and corrected, so that the geometric objects of the coverage domain boundaries can be created directly based on the azimuth angle algorithm for region filling, and coverage judgment point by point in the region is not needed.

The invention belongs to the technical field of bioinformatics and particularly discloses a method of screening multiple sclerosis biomarkers. The method includes: acquiring a data set GSE21942 from an GEO database, and subjecting a sample to MAS5 standardization by a GPL570 platform; removing x or y gene expressions invariable according to a formula: (|(x(i)+y(i))/(x(j)+y(j))-1|(delta(i, j=1, 2,..., N), and screening out mutually inhibiting gene pairs (x, y) to obtain a multiple sclerosis biomarker. Delta refers to degree of approximation between genes x and y, and is 0.08 in experiments; x(i) refers to gene expression quantity of the i-th sample of the gene x; y(i) refers to gene expression quantity of the i-th sample of the gene y. The mutually inhibiting gene pairs in mononuclear cells in peripheral blood of both normal people and MS patients to obtain the multiple sclerosis biomarker; by applying the screened multiple sclerosis biomarker in the study and analysis of biological significance, real conditions of the patients can be indicated.

The invention discloses an evaluation model device for prognosis of esophageal squamous cell carcinoma and a modeling method thereof. The evaluation model device for prognosis of esophageal squamous cell carcinoma comprises a GEO database module, a data acquisition module, a data preprocessing module, a content feature extraction module, a feature variable extraction module and a prognosis model establishment module, wherein the data acquisition module is used for acquiring gene expression data and prognosis data related to esophageal squamous cell carcinoma in the GEO database module; the data preprocessing module is used for preprocessing the gene expression data and the prognosis data related to esophageal squamous cell carcinoma; and the content feature extraction module is used for extracting content features of the data processed by the data preprocessing module. According to the invention, a tumor infiltration lymphocyte subtype related to survival time can be screened, and a prognosis model is established; and when new feature data exists, the survival time probability of a patient with esophageal squamous cell carcinoma can be obtained only by inputting the values of the feature data into a regression model, so the method has important significance in prognosis of esophageal squamous cell carcinoma.

The embodiment of the invention discloses a spatial data comparison method and a related product, and the method comprises the steps: collecting detection data of a spatial detection region, wherein the detection data comprises video data; obtaining key information in the video data, downloading a standard detection template corresponding to the detection data from a server according to the key information, wherein the standard detection template comprises historical data or a spatial data model; and generating a detection result according to a comparison result of the detection data and the standard detection template. According to the embodiment of the invention, the standard detection template is downloaded from the server in combination with the performance advantages of the 5G technology, and spatial data comparison is performed offline at the terminal, so that the data processing complexity is reduced, and the spatial data comparison efficiency is effectively improved.

Disclosed herein is a probe composition. According to the composition, methylation data of a TCGA database and a GEO database are meta-analyzed, a 5.6 Kbp capture region is screened out and comprises 52 methylation change genes highly related to cancers and a non-coding DNA region, and the method can detect methylation level changes of six cancers such as esophageal cancer, gastric cancer, colorectal cancer, lung cancer, liver cancer and pancreatic cancer at a time. The probe composition can be used for early screening of asymptomatic people and prognosis detection of cancer patients, and the breadth of detection genes of the probe composition is superior to that of detection genes in the prior art and products.

The invention discloses a 2.5-dimensional spatial data visualization method based on a GIS, a medium and equipment, and the method comprises the steps: firstly unifying all spatial data coordinate systems, and obtaining spatial data collected by an unmanned plane; generating a three-dimensional space data model according to the space data collected by the unmanned aerial vehicle and the scale, theprecision and the space data coordinate system; importing a three-dimensional space data model which needs to generate 2.5 dimensions; presetting a spatial data tile caching mechanism; in the GIS analysis tool, according to a preset spatial data tile cache, generating a 2.5-dimensional spatial data tile; generating an engineering file by using a GIS analysis tool, reading a spatial data tile caching mechanism, and generating a map service address; and in the map service address, loading the 2.5-dimensional spatial data tile service according to a spatial data tile caching mechanism. Accordingto the method, the 2.5-dimensional spatial data can be rapidly visualized, and the method has the advantages of being low in cost, high in reducibility, high in response speed and beneficial to popularization.

The invention provides application of apoptosis-related genes in repeated implantation failure, and belongs to the technical field of biological medicine and molecular biology. According to the application of the apoptosis-related genes in repeated implantation failure, endometrial RNA-seq related data are called from a GEO database, a series of differential genes are screened out from a GSE92324 queue, finally, it is determined that abnormal expression of three apoptosis related genes, namely, CSRNP1, BIRC8 and ELAPOR1 is closely related to repeated implantation failure, verification is carried out through a verification queue (GSE71835), the apoptosis-related genes are proved to have a good diagnostic value for the repeated implantation failure, so that the apoptosis-related genes can be used as prediction and diagnosis markers and potential treatment targets of the repeated implantation failure, plays an important role in diagnosis and treatment of the repeated implantation failure, and has a good practical popularization and application value.

The invention discloses a probe composition. According to the composition, through meta analysis of methylation data of a TCGA database and a GEO database, a 4.29 Kbp capture region is screened out, the 4.29 Kbp capture region comprises up to 37 methylation change genes highly related to cancer and non-coding DNA regions, and the method can detect methylation level changes of three kinds of lumen organ cancers such as esophageal cancer, gastric cancer and colorectal cancer at a time. The probe composition can be used for early screening of asymptomatic people and prognosis detection of cancer patients, and the breadth of detection genes of the probe compositino is superior to that of detection genes in the prior art and products.

The invention provides a novel screening method for a multiple myeloma prognosis gene based on a gene coexpression network. The method comprises the following steps of S1, acquiring a gene expressionspectrum GSE24080 of an MM patient from a GEO database, preprocessing the gene in the gene expression spectrum GSE24080, and obtaining 5413 genes which have the front 25% highest expression value variances; S2, performing WGCNA gene coexpression network analysis on the 5413 genes for identifying a coexpression functional module; and S3, evaluating correlation between the functional module and clinical information through Pearson related examination, thereby determining a most substantial module.

Disclosed herein is a probe composition. According to the composition, methylation data of a TCGA database and a GEO database are meta-analyzed, a 4.37 Kbp capture region is screened out and comprises as many as 38 methylation change genes highly related to cancer and a non-coding DNA region, and the method can detect methylation level changes of five common cancers such as esophageal cancer, gastric cancer, colorectal cancer, liver cancer and pancreatic cancer at a time. The probe composition can be used for early screening of asymptomatic people and prognosis detection of cancer patients, and the breadth of detection genes of the probe composition is superior to that of detection genes in the prior art and products.

The invention relates to primers, probes and kit for screening liver cancer and application of the primers, probes and kit. The primers and probes comprise a first amplification primer pair and a corresponding first detection probe which are used for detecting CELF6 gene methylation, a second amplification primer pair and a corresponding second detection probe which are used for detecting SLMO1 gene methylation, and a third amplification primer pair and a corresponding third detection probe which are used for detecting SPINT2 gene methylation. According to the invention, methylation data related to the liver cancer in TCGA and GEO databases are collected and analyzed, methylation genes highly related to the liver cancer are screened out through a large amount of researches, a gene methylation detection system is constructed, and primers and probes with excellent detection effects are obtained through further design and optimization, so that high-sensitivity and high-specificity screening diagnosis on the liver cancer is realized.

The invention discloses a probe composition. According to the composition, through meta analysis of methylation data of a TCGA database and a GEO database, a 6.5 Kbp capture region is screened out, and the 6.5 Kbp capture region comprises up to 66 methylation change genes highly related to cancer and a non-coding DNA region. The method can be used for detecting methylation level changes of 11 common cancers such as esophageal cancer, gastric cancer, colorectal cancer, lung cancer, liver cancer, pancreatic cancer, prostate cancer, breast cancer, ovarian cancer, cervical cancer and endometrial cancer at one time. The probe composition can be used for early screening of asymptomatic people and prognosis detection of cancer patients, and the breadth of detection genes of the probe composition is superior to that of detection genes in the prior art and products.

Disclosed herein is a probe composition. According to the composition, through meta analysis of methylation data of a TCGA database and a GEO database, a 3.75 Kbp capture area is screened out, the 3.75 Kbp capture area comprises as many as 36 methylation change genes highly related to cancer and a non-coding DNA area, and the method can detect methylation level changes of three substantive organ tumors such as lung cancer, liver cancer and pancreatic cancer at a time. The probe composition can be used for early screening of asymptomatic people and prognosis detection of cancer patients, and the breadth of detection genes of the probe composition is superior to that of detection genes in the prior art and products.

The invention discloses an AML patient immune typing system, an AML patient prognosis scoring model and a construction method thereof. The construction method of the immune typing system comprises the following steps: 1) collecting immune microenvironment information of an AML patient from a GEO database; 2) carrying out clustering analysis to obtain 10 immune cell types with clinical prognosis significance; 3) clustering the patients into three groups: Cluster1, Cluster2 and Cluster3, the immune score and the microenvironment score of the Cluster1 being the lowest, and the HSC infiltration degree of the Cluster1 being the highest; the immune score and the microenvironment score of the Cluster3 being the highest, and the HSC infiltration degree of the Cluster3 being the lowest; the Cluster2 being between the two groups, so that the establishment of the immune typing system is completed. In addition, an AML patient prognosis model is constructed according to the immune typing system, and the model is higher in precision compared with an existing model.

The invention discloses a geological mineral product spatial database construction method and system, electronic equipment and a storage medium, and the method comprises the steps: carrying out the construction of a data model on the basis of demand analysis under the guidance of an information science thought; according to the method, high integration and multi-view multi-level storage of geological mineral data of different historical stages, different sources and different types in a structured mode can be realized, and the application technical difficulty of logicalization and structuring of theoretical research and logicalization and structuring matching of a spatial data model is solved; the automatic construction of the geological mineral product spatial database can be realized, and the construction efficiency is improved. Moreover, according to the method, unstructured data can be converted into structured data, and the structured data are stored in a geological mineral product spatial database mode, so that the efficiency and effect of database construction and application are improved, the cost of data management, database construction and application is reduced, and manpower and material resources are saved.