24 results about "Population sample" patented technology

Techniques are disclosed for usage-tracking of various information security (InfoSec) entities for tenants / organization onboarded on an instant multi-tenant security assurance platform. The InfoSec entities include policies, procedures, controls and evidence tasks. A policy or procedure is enforced by implementing one or more controls, and the collection of one or more evidence tasks proves / verifies the implementation of a control. The InfoSec entities are linked to each other across the platform and accrue a number of benefits for the tenants. These include automatically / continuously creating asset populations and drawing samples from the asset populations for auditing. The population samples may be generated by entering natural language queries in the platform. Asset data from the asset populations is used to feed / populate various other modules and systems used by the tenant of the platform.

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 discloses a papaya Pleurotus geesteranus population traceability SNP molecular marker and application thereof. Through simplified genome sequencing and comparative analysis of population samples of different geographical sources of the papaya Pleurotus geesteranus, SNP molecular markers containing specific geographical populations are screened out and serve as identification marks of the geographical population sources of the papaya Pleurotus geesteranus, and a daily detection method capable of being applied to population tracing is formed. The papaya Pleurotus geesteranus population traceability SNP molecular markers from four countries provided by the invention can accurately detect the SNP traceability sites of papaya Pleurotus geesteranus populations from China, America, Cambodia, Mosabike and Xishuangbanna, an amplification primer for detecting the traceability sites is designed, and the accuracy of the SNP traceability sites is also verified. The conventional traceability detection of a port on the papaya Pseudococcus geesteranus intercepted sample can be realized, and a basis is provided for solving related international trade technical barriers and buys; and a detection technical scheme is provided for revealing the propagation and diffusion characteristics of the papaya Pleurotus geesteranus population.

The present application discloses a method, device, equipment and storage medium for constructing a population pedigree, which obtains a chromosome map file of a population sample, wherein the population sample includes multiple individual samples, and the chromosome map file includes SNP site information of the individual samples; the segment ratios of multiple target chromosome segments between individual samples are calculated based on the chromosome map file using the principle of linkage disequilibrium, and the number and type of common ancestor segments contained in each target chromosome segment are different; the genome kinship correlation coefficients between individual samples are calculated based on the chromosome map file using the similarity between SNP sites; the kinship between individual samples is determined based on the segment ratio and the genome kinship correlation coefficient; and the population pedigree of the population sample is constructed based on the genome kinship correlation coefficient and the kinship. The reconstruction of a multi-generation and multi-variety population pedigree is achieved, filling the gap in the current method for reconstructing a real large-scale population pedigree.

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.

The present invention belongs to the field of biotechnology, and more specifically, the present invention discloses a method and system for detecting gene copy number variation based on deep information of population samples. The method comprises: (1) obtaining sequencing data of multiple samples; (2) calculating the copy ratio of the region to be detected relative to the whole genome; (3) sorting the copy ratios of the multiple samples from small to large and grouping them; (4) determining the nearest copy number reference ratio based on the distance between its copy ratio and the copy number reference ratio, and determining the copy number for each group. The method of the present invention accurately detects different types of CNV based on the deep information of population samples and calculates the copy number value; can accurately detect CNVs with common frequencies, and normally calculate the copy number values ​​including DUP; can detect different types of CNVs of population samples and correctly type them.

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.

The invention discloses a bean weevil population traceability SNP molecular marker and application thereof. By re-sequencing genomes of population samples with different geographical sources of the bean weevil, the SNP marker and the corresponding detection primer which can be used for tracing ten populations, namely EsecRussian, Luwenda, Bhuji, Karamon, Congo, Uganda, Angora, German and Chile, of the bean weevil are developed. The SNP marker can be used for tracing ten populations of Guizhou, Yunnan and overseas. The population tracing SNP marker site is good in genetic stability and reliable in detection result, the affiliation and the source of the detected population can be accurately judged according to a peak map obtained after amplification of a detection site amplification primer, the population source of the intercepted bean weevil can be clearly determined, and international agricultural product trade and national ecological and agricultural safety are guaranteed.

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 marker screening method based on the cfDNA methylation mode comprises the following steps: acquiring corresponding methylation intervals of two crowd samples, and respectively determining methylation state information of the two methylation intervals; based on methylation state information, methylation mode recognition results of two methylation intervals are obtained respectively, methylation interval markers of susceptible diseases in different methylation states can be determined, and the detection rate of cfDNA of different diseases can be increased; based on the methylation pattern recognition result, two cfDNA quantitative results are obtained respectively to serve as potential biomarker features of sample classification; based on a cfDNA quantitative result, screening a difference characteristic interval in the two samples from the methylation interval, and determining the difference characteristic interval as a marker so as to identify disease information contained in various cfDNAs in the plasma and realize early screening and multi-screening of various diseases.

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.

The present invention discloses a method for optimizing the operation of a gas-electricity coupling system, comprising the following steps: a data reading step, a sample generating step, a population sample number determining step, a maximum population algebra setting step, a population sample calculating step, a population sample determining step, a genetic operation step, a population algebra determining step and an optimal solution outputting step; by optimizing the energy management based on the real-time demand of natural gas load and electric load, an energy center model is established based on the concept of energy hub, the energy center model contains energy conversion equipment including transformers, cogeneration units, gas boilers, heat pumps and lithium bromide units to provide flexible energy flow path selection, and takes the minimization of the operation cost of the gas-electricity coupling system as the goal, taking into account constraints including equipment capacity and network flow.

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.

The invention discloses a cfDNA-based cancer methylation marker screening method, which comprises the following steps: respectively extracting cfDNA samples of a first population and a second population and methylation values of all CpG sites of the cfDNA samples in a target interval so as to respectively obtain a first population sample set and a second population sample set; selecting training sample sets of the first crowd sample set and the second crowd sample set, combining the training sample sets, averagely dividing the training sample sets into 1 training sample subsets, selecting (l-1) training sample subsets in the training sample subsets for multiple times, and screening different CpG sites of the first crowd sample and the second crowd sample in the training sample subsets, a plurality of candidate methylation marker sets are obtained, a plurality of screening models are constructed by means of the candidate methylation marker sets, and methylation marker sets are extracted. According to the marker between high-heterogeneity cfDNA sequencing samples obtained through cross screening of the method, the accuracy of cancer subtype detection is improved.

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.

The invention relates to the technical field of aquaculture, and particularly discloses a southern sea cucumber artificial breeding method, which comprises the following steps: S1, collecting southern sea cucumber population samples, and carrying out genetic analysis on the samples by utilizing SSR (Simple Sequence Repeat) marking, SNP (Single Nucleotide Polymorphism) marking, AFLP (Amplified Fragment Length Polymorphism) marking and RAPD (Random Amplified Polymorphic DNA) marking technologies, the parent sea cucumbers which are high in growth speed, strong in stress resistance, full in body shape, delicious in meat quality and high in reproductive capacity are screened out; s2, performing health examination and pathogen detection on the screened parent sea cucumbers; according to the method, by adopting advanced genetic marker technologies such as SSR markers, SNP markers, AFLP markers and RAPD markers, parents with excellent characters such as high growth speed, strong stress resistance, full body type, delicious meat quality and high reproductive capacity are rapidly screened, parent screening is performed through a strict statistical method and a genetic algorithm, the accuracy and reliability of screening results are ensured, and the method is suitable for large-scale popularization and application. Through accurate genetic analysis and parent screening, unnecessary use of parent sea cucumbers is reduced, breeding resources are optimized, and the breeding cost is reduced.

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 provides a population data sample expansion method, a dialogue question and answer system, electronic equipment and a storage medium. The method comprises the following steps: receiving query statements related to the number of people and matching a number of people query intention; based on the obtained sample expansion table, determining whether the number of people query intentions have sample-expandable fields or not; wherein the sample expansion table maintains a target intention capable of performing population sample expansion and a sample-expandable field corresponding to the target intention; if yes, in combination with key data associated with the people number query intention, executing a calculation rule corresponding to the people number query intention to obtain an initial people number query result corresponding to the sample expansible field; performing sample expansion on the initial people number query result based on a preset population sample expansion coefficient to obtain a sample expansion people number result; and outputting an initial people number query result and a sample expansion people number result. According to the method, the accuracy of the query result is improved, two result options are provided for the user, the requirements of different users are met, and therefore the practicability and flexibility of the system are enhanced.

The present invention relates to a liquid biopsy based on the local measurement of an exosome heterogeneity change. A liquid biopsy sample is prepared by separating exosomes related to a specific disease, such as cancer, from exosome population samples into a subpopulation for a separation marker by using a predetermined surface marker as the separation marker. In the liquid biopsy sample, two surface markers other than the separation marker are used as capture and detection markers to analyze exosomes loaded with the same triple markers.

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.