13 results about "Population sample" patented technology

The invention relates to an organ system phenotypic aging assessment method, device and equipment and a storage medium. According to the main technical scheme, the method comprises the steps of obtaining phenotypic aging marker information of all organ systems of a to-be-evaluated object, preprocessing the phenotypic aging marker information, determining a model modal type used for processing the phenotypic aging marker information according to the information type of the phenotypic aging marker information and the gender of the to-be-evaluated object, and determining the sex of the to-be-evaluated object according to the model modal type. Predicting the biological age of the organ system based on a pre-trained organ system aging model according to the model modal type and the pre-processed phenotypic aging marker information, and determining the age of the organ system according to the actual age of the to-be-evaluated object, the biological age of the organ system and pre-stored population sample information. And evaluating the phenotypic senescence state of the organ system of the to-be-evaluated object, so that the phenotypic senescence state of each organ system of the human body can be comprehensively and accurately evaluated.

The invention belongs to the technical field of fish genetic identification, discloses a multi-site sal-family wild large yellow croaker identification method based on an SNaPshot technology, and particularly discloses a group of SNP (Single Nucleotide Polymorphism) molecular markers for screening a sal-family wild large yellow croaker group. The identification of the sal-family wild pseudosciaena crocea in the pseudosciaena crocea wild population sample can be realized only by a simple multiple PCR reaction system and SNaPshot typing sequencing. And automatic typing and identification of the wild large yellow croaker sample of the large sal ammoniac family can be realized only by operating on various genetic analysis instruments. Compared with the existing method for identifying the wild large yellow croaker in the sal family, the method has the advantages that the typing is more accurate, the operation is quicker, the detection flux is higher, and meanwhile, the accuracy rate and the cumulative exclusion rate are higher.

The invention discloses a multi-objective optimization method and system for centralized procurement with quantity based on MODDPG. The method comprises the following steps: constructing a collection chain multi-objective optimization model which comprises a supply enterprise, a procurement alliance and a third-party group purchase organization and is based on deep reinforcement learning and a multi-objective optimization algorithm; based on the historical state of the supply enterprise, the purchase alliance or the third-party group purchase organization, control operation is generated through a strategy network, and random variation is carried out on the control operation according to the mutation probability; executing control operation, obtaining rewards and states fed back by the environment, and adding the historical state, the control operation, the rewards and the states into an experience pool; selecting a high-quality population sample from the experience pool by using a multi-objective optimization algorithm; training a strategy network and a value evaluation network of a set sampling chain multi-objective optimization model based on the high-quality population samples; and using the trained model to generate a control operation strategy according to the current states of the supply enterprise, the purchase alliance and the third-party group purchase organization.

This invention discloses a sampling method and application for accurately evaluating the nutrient status of tea trees, and for the first time specifies the sampling time and leaf position for mature leaves and new shoots when evaluating the nutrient status of tea trees. The method involves selecting previous-year-old vegetative branches from the same growth position on the tea tree canopy surface, and topping these branches at the end of January, removing the terminal buds. In mid-to-late February, while the tea trees are still dormant, the first mature leaf at the top of the pruning cut is selected. When the dormant buds sprout and develop to one bud and two leaves, new shoot samples corresponding to the marked mature leaves are taken; mature leaves are not collected at this stage. Validation was conducted in tea gardens with 10-year and 20-year long-term nitrogen fertilization sites and with 2000 population samples. The method of this invention ensures the correlation between the nutrient status of tea trees across years, and shows a highly significant positive correlation between tea garden fertilization levels and tea tree nutrient status; it also ensures a highly significant positive correlation between the amino acid composition of new shoots and fertilization levels, and a highly significant negative correlation between the phenol-amino acid ratio and fertilization levels.

This invention designs a method for screening traits in the quantitative classification of ornamental plant germplasm, mainly consisting of the following steps: trait selection and coding, intra-germplasm consistency test, inter-germplasm discrimination analysis, principal component analysis, and Pearson correlation analysis. The scientific validity and effectiveness of the trait screening technology system proposed in this invention are verified by including species in the population sample and evaluating the kinship clustering probability distribution between species, species and varieties, and varieties, respectively, thereby indirectly reflecting the effectiveness of the trait screening technology system proposed in this invention.

The invention relates to a method for constructing castanopsis hystrix core germplasm based on an NGS-SSR molecular marker and application of the method, and belongs to the field of forest biotechnology and germplasm resource science. The method for constructing the castanopsis hystrix core germplasm based on the NGS-SSR molecular marker comprises the following steps: acquiring castanopsis hystrix germplasm resource population sample whole genome sequence data, performing variation and typing detection, performing format data conversion, and constructing the castanopsis hystrix core germplasm. The core germplasm is constructed in the castanopsis hystrix by applying the NGS-SSR technology for the first time, a set of core germplasm construction method is established, the core germplasm construction method has the advantages of high efficiency, accuracy, high flux and low cost, and a germplasm set with a limited number of core germplasm containing all germplasm resource genetic diversity is realized.

The invention discloses a heart and kidney metabolic syndrome progress prediction model construction system and method based on an insulin resistance index, and the system comprises a data processing module which is used for preprocessing clinical CKM population sample data to obtain a training set and a verification set; the index association module is used for acquiring insulin resistance indexes and respectively establishing association between each insulin resistance index and the cardiovascular disease onset risk of people in each stage of the heart and kidney metabolic syndrome; the index determination module is used for drawing ROC curves of various insulin resistance indexes for identifying cardiovascular diseases and determining insulin substitution indexes in the insulin resistance indexes; the model construction module is used for constructing a plurality of Cox regression models; and the model evaluation module is used for carrying out performance evaluation on each Cox regression model to obtain a heart and kidney metabolic syndrome progress prediction model. The method can improve the accuracy of predicting cardiovascular diseases of people suffering from heart and kidney metabolic syndrome in the future, and can be widely applied to the technical field of data processing.

One or more tangible, non-transitory, computer-readable media stores instructions thereon that, when executed by a processing system, are configured to cause the processing system to perform various functions. The functions include receiving crosswalk data including a plurality of device identifiers and a respective plurality of household or people identifiers corresponding to the plurality of device identifiers, the crosswalk data corresponding to a sample of a population. The functions also include receiving a consumer view file including an additional plurality of household or people identifiers corresponding to the population and demographic attributes corresponding to the additional plurality of household or people identifiers. The functions also include determining a plurality of weights corresponding to the respective plurality of household or people identifiers in the crosswalk data based at least in part on the demographic attributes. The functions also include receiving viewership data and determining at least one KPI of an ad campaign based on the respective plurality of household or people identifiers, the plurality of weights, and the viewership data.

The invention provides a method and system for obtaining the contribution rate of population migration to regional population structure change, and the method comprises the steps: extracting an effective residential population sample, dividing a plurality of space units in a research regional range, and obtaining the contribution rate of population migration to regional population structure change according to the multi-dimensional attributes of the effective residential population sample. Dividing each spatial unit population in the selected time period into a target group and a non-target group, identifying population cross-spatial unit migration data, further measuring and calculating a target grouping index of target group migration on each spatial unit population structure, and classifying the target grouping index by using a threshold classification method to judge a target grouping type caused by migration. Calculating the contribution rate of population migration of each space unit to the population structure change of the target group of the target space unit, and identifying the space unit which has a leading effect on the population structure change of the target group of the target space unit. According to the method, large-scale, refined and long-time-sequence target grouping quantitative measurement can be carried out, and the contribution strength of other spaces to the population structure change of a target space unit is measured.

1. Name of the product in this design: Portable Population Sample Spectroscopic Rapid Detector. 2. Purpose of this design: For rapid detection of component content in grouped particulate or powdered samples. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. The bottom part is an uncommon area, so the bottom view is omitted. 6. Design 1 is designated as the basic design.

This application belongs to the field of agricultural remote sensing technology, and specifically relates to a method and system for spatially sampling and extrapolating the crop areas of multiple populations. The method includes the following steps: obtaining the spatial distribution vector map of the total cultivated land, the information table of sampling unit layers, and the statistical table of layer information; making the layer population distribution map; forming the list of survey sample sampling units; forming the sample spatial distribution vector map; obtaining remote sensing images; performing target recognition on the remote sensing images, extracting the target crop areas according to the sampling units, and forming sample observations; setting the directory table of sub-population names; generating the intermediate file of the sub-population sample observation value set; assigning a hierarchical code to each sampling unit; by circularly calling the relevant parameters in the information statistical tables of each sub-population layer and the sample observations, circularly calculating the crop areas of each sub-population, and finally forming the statistical table of the crop areas of all populations. The method and system of this application can quickly and conveniently perform spatial extrapolation of the crop areas of multiple populations at one time to obtain the estimated values of each population.

The invention discloses a method for screening a leukocyte-based methylation marker for predicting CHIP mutation, which comprises the following steps: respectively acquiring methylation sequencing data of a first population sample and a second population sample, and extracting corresponding merging intervals; aiming at each merging interval, respectively calculating methylation information of the first crowd sample and the second crowd sample on the merging interval as methylation features; and dividing the methylation features into a plurality of feature subsets for further screening to obtain a methylation marker group of CHIP mutation. By means of the screening method, the leukocyte DNA methylation marker for detecting CHIP mutation can be obtained and used for early prediction of CHIP, medical staff are helped to implement early screening of CHIP related diseases, and researchers are helped to analyze the relation between CHIP and related disease progresses.

The invention relates to the field of bioinformatics and genomics, and discloses a data analysis method and system based on group sample eQTL and single cell eQTL. According to the method, a linear relation between a group sample and a single-cell eQTL effect value is constructed, a weight coefficient of each cell type is estimated by using a non-negative least square method, group sample eQTL information is integrated into a single-cell eQTL based on the weight coefficient, an improved single-cell eQTL effect estimated value is generated, and the single-cell eQTL effect estimated value is obtained. Then, the cell specific gene regulatory locus is applied to whole genome association analysis and co-localization analysis of eQTL loci, so that the cell specific gene regulatory locus with remarkable statistical association is obtained. According to the method, the statistical efficiency of single cell eQTL analysis can be effectively improved, meanwhile, capturing of cell type specificity regulation signals is kept, and a new thought and method are provided for further researching a gene expression regulation mechanism.