170 results about "Specific population" patented technology

Many areas of biomedical research depend on the analysis of uncommon variations in individual genes or transcripts. Here we describe a method that can quantify such variation at a scale and ease heretofore unattainable. Each DNA molecule in a collection of such molecules is converted into a single particle to which thousands of copies of DNA identical in sequence to the original are bound. This population of beads then corresponds to a one-to-one representation of the starting DNA molecules. Variation within the original population of DNA molecules can then be simply assessed by counting fluorescently-labeled particles via flow cytometry. Millions of individual DNA molecules can be assessed in this fashion with standard laboratory equipment. Moreover, specific variants can be isolated by flow sorting and employed for further experimentation. This approach can be used for the identification and quantification of rare mutations as well as to study variations in gene sequences or transcripts in specific populations or tissues.

Many areas of biomedical research depend on the analysis of uncommon variations in individual genes or transcripts. Here we describe a method that can quantify such variation at a scale and ease heretofore unattainable. Each DNA molecule in a collection of such molecules is converted into a single particle to which thousands of copies of DNA identical in sequence to the original are bound. This population of beads then corresponds to a one-to-one representation of the starting DNA molecules. Variation within the original population of DNA molecules can then be simply assessed by counting fluorescently-labeled particles via flow cytometry. Millions of individual DNA molecules can be assessed in this fashion with standard laboratory equipment. Moreover, specific variants can be isolated by flow sorting and employed for further experimentation. This approach can be used for the identification and quantification of rare mutations as well as to study variations in gene sequences or transcripts in specific populations or tissues.

A method and system for allowing providers of goods and services in an environment of a specific population of prospective business partners (e.g., a tradeshow environment) to determine the existence of and track connections between and among one another, and for allowing an administrator of such environment in which such connections may take place to likewise track such connections.

The invention discloses a resident diet balance quantification analysis method based on an intelligent information processing terminal, and a system thereof. The resident diet balance quantification analysis method comprises the steps of firstly establishing a customized healthy dirt evaluation standard, establishing a science popularizing database on the intelligent information processing terminal; evaluating the rationality of resident diet; providing an energy consumption guidance to a user; providing a customized automatic diet to the user; and providing dynamic display for typical dishes and diets. The resident diet balance quantification analysis method and the system perform necessary setting for the upper limit and the lower limit of nutrition intake recommend value of different groups, and provide diet quantification analysis, balanced diet guidance, human body nutrition intake and consumption, diet matching, dish recommend, making demonstration and specific population diet guidance, and furthermore can be used anytime and anywhere. Professional knowledge of nutriology is transmitted to common people in a science popularizing mode, thereby realizing purposes of improving people's constitution and reducing frequency of chronic diseases.

Briefly described, one embodiment of the system, among others, can be implemented as follows. The system includes a computer control system and an environmental light source that is controlled by the computer control system such that an amount of light provided by the environmental light source is adjusted by the computer control so that ocular parameters of an examinee are within a targeted range. Further, the system includes an irradiation system that provides multiple angle and axial eccentricity illuminations and selective wavelength irradiation based upon instructions received from the computer control system, wherein the computer control system instructs the irradiation system to provide different irradiation characteristics for different screening procedures. Also, the system includes an image detection system that captures ocular images of the examinee, wherein the computer control system analyzes captured images and provides results of in-situ analysis. The system can further include a device, for example a lens or lens system, positioned in the system to be between the eye of the examinee and the image detection system during photoscreening for shifting the neutralization of the system to a desired region for a specific population of examinees. Other systems and methods are also provided.

The invention discloses a method for capturing a genome target sequence based on Crispr / cas9 and application thereof in high-throughput sequencing. The method for capturing a target gene sequence from a genome DNA on the basis of a Crispr / cas9 system comprises the steps that 1, a plurality of gRNAs are designed and synthesized according to the target gene sequence; 2, the multiple gRNAs and a cas9 enzyme are adopted for performing a cleavage reaction on the genome DNA, and a cleavage product containing multiple 100-300 bp fragmentation products is obtained; 3, the multiple 100-300 bp fragmentation products in the cleavage product are captured. On the basis of the CRISPR gene, the target sequence is edited and captured, and the method can be used for high-throughput sequencing and is applicable to screening of specific population with family heredity, the public physical examination market and the like.

The present invention is a method and the system for analyzing and optimizing resource allocation by transforming economic and eligibility information produced over calendar / clock time (CCT) per a unique unit of analysis (e.g. UOA-ID) that meets the criteria for inclusion into a specific Population (Type) into information organized by Cohort Time and summarized across all UOA-IDs that are part of the same Population. An Eligible Adjusted Variable Value (EAV) can be calculated for each time segment and summarized across all the UOA-IDs to enable one to estimate resources that can be allocated per UOA-ID per Cohort time segment per CATVAR to reach a defined outcome based on a defined return on resource allocation estimate.

The invention discloses a composition used for removing food retention and relaxing the bowels of the children, as well as a preparation method thereof. The composition used for removing food retention and relaxing the bowels of the children is designed for specific population of children, excluding the infants. The composition used for removing food retention and relaxing the bowels of the children is prepared from the following raw materials in percentage by weight: 10-50% of fruit and vegetable powder, 10-40% of prebiotics, 0.5-2.0% of active probiotic powder, 5-30% of dietary fiber, and 5-20% of a medicine-and-food homologous food extract. The dosage of the composition is preferably solid beverage or tablet candies. The preparation method of the composition used for removing food retention and relaxing the bowels of the children comprises the following steps: preparing raw materials, carrying out uniform mixing, and carrying out packaging; or the preparation method comprises the following steps: preparing raw materials, preparing a soft material, carrying out granulation, carrying out drying, carrying out grinding, adding the active probiotic powder, adding a flow aid and a lubricant, and carrying out tableting. The composition strictly complies with the principles of traditional Chinese medicines and western medicines, as well as the principles of safety, scientific properties and obvious functions; the raw materials are all selected from the catalog of medicine-and-food homologous, the catalog of new-resource foods and the catalog of common foods; and the selected raw materials are rationally matched in consideration of the taste.

The invention provides a preparation method of a low fat Mozzarella cheese, aiming at improving flavor and taste of low fat cheese. The cheese is endowed with excellent qualities by adding whey protein concentrate (WPC) into low fat milk, adopting selective compound bacteria as ferment, and optimizing technique parameters. The preparation steps of the low fat drawing cheese comprise: degrease disposing of cowmilk, pasteurization, preparatory culture, adding renninum, discharging whey, drawing and salting, etc. The cheese obtained with the invention method has the advantages that: the cheese has good plasticity, supple taste and soft incense; fat content of the cheese is 1 / 3 to 1 / 4 of that of the common cheese, and requirements of cheese favorer and specific population are met; quality of the product is easier to be accepted by consumers, therefore the product has practical application significance.

A method for predicting demographic phenomena has steps for (a) determining behavioral characteristics of a specific population group related by one or more of interest or behavior; (b) creating one or more browsing software agents incorporating behavioral characteristics from step (a) and enabled to browse a network graph; (c) executing the software agents against the network graph, and noting resulting network phenomena; (d) monitoring the network graph in absence of execution of the software agents; and (e) in the event of reappearance of phenomena from step (c), concluding that real persons of the specific population group are active in producing the network phenomena.

The invention provides a population density analysis system based on high-resolution satellite remote sensing data combined with building height. The system comprises a populated place extraction module, a building height determination module, a grid division module, a grid space calculation module and a population density determination module. By dividing a target area into a plurality of grids and calculating population density with each grid being as the unit, the system can obtain more specific population density distribution situations of the target area, and compared with the prior art, the system is more accurate; besides, the system can accurately determine a populated place region in the target area based on the remote sensing data, so that the population density distribution situations can be determined more accurately with reference of the populated place; furthermore, the system can calculate the height of each building based on the remote sensing data and establish relation between resident living space and the population density from the perspective of space, so that difference of population density of buildings in different heights can be reflected, and the population density distribution situations can be determined more accurately.

A parallel genetic algorithm computing process tracks forward progress of a first sub-population across generations thereof. The first sub-population is one of a plurality of sub-populations that form a population of candidate solutions to an optimization problem. At a current generation of the first sub-population, it is determined that forward progress of the first sub-population fails a set of one or more forward progress criteria. In response to determining that the forward progress of the first sub-population fails the set of one or more forward progress criteria at the current generation, a local catastrophe is invoked on the current generation of the first sub-population. The first sub-population is re-populated after the local catastrophe is invoked. The first sub-population is re-established after re-populating while constraining migration to the first sub-population.

The embodiment of the invention provides an advertisement recalling method and device; the method comprises the following steps: firstly, obtaining advertisement recalling request from a user; then, obtaining a specific population ID corresponding to the user; then, obtaining an advertisement unit first set matched with the user according to the specific population ID, wherein the advertisement unit first set is determined by using the specific population ID to search a preset first mapping relation between the population ID and the advertisement units; further, returning at least certain advertisement units of the advertisement unit first set to the user. The advertisement recalling device is matched with said method; the method and device can more effectively carry out advertisement recalling.

The invention relates to a matching recommendation method and system based on city specific populations and associated policies. The method comprises the steps of S1, collecting basic data of the specific populations and requirement and behavior data of the populations for specific areas, and forming a specific population set; S2, performing preprocessing on the collected data to obtain a character feature sequence; S3, performing mining and classification on the specific populations through neural network based clustering analysis, extracting requirement labels of each category of populations, and generating a requirement label set; S4, analyzing according to related policies adopted for the specific populations, and decomposing all of the related policies into a plurality of policy module sets associated with the requirement labels; and S5, generating a three-dimensional space set according to the specific population set, the requirement label set and the policy module sets, performing matching on each policy resource in two dimensions of the specific population set and a policy resource set according to a knowledge based fuzzy label recommendation algorithm, and recommending thematched policy resource to a specific user.

Reference intervals are established and / or validated based on existing clinical data and exclusion criteria, such as diagnosis coding. A Reference Interval Test Engine is designed to statistically analyze large volumes of existing clinical lab test results to establish and evaluate reference intervals for specific population subgroups and / or to provide other applications.

The invention discloses a health management system with an intelligent feature extraction function; the system comprises an intelligent terminal, health management client end software, health management server end software, and a cloud end server; the intelligent terminal uses a voice sensing module, an image sensing module and a communication module to collect personal profile, image, voice and video health data; the system uses an image processing module, a voice processing module and a dictionary processing module in the health management client end software and the health management serverend software to process the health data, store the data, extract original data and feature data, and upload the data to the cloud end server via the wireless network, thus realizing data storage, data mining and analysis, and providing guidance suggestions for the user personal health status. The system combines the voice processing, image processing and dictionary processing with the cloud server, is simple in operation, and can be applied to the personal health management, remote medical, specific population health monitoring, and health big data analysis fields.

The method and the system of the present invention transforms economic and eligibility information produced over calendar / clock time (CCT) per a unique unit of analysis (e g. UOA-ID) that meets the criteria for inclusion into a specific Population (Type) into information organized by Cohort Time and summarized across all UOA-Ids that are part of the same Population. An Eligible Adjusted Variable Value (EAV) can be calculated for each time segment and summarized across all the UOA-IDs to enable one to estimate resources that can be allocated per UOA-ID per Cohort time segment to reach a defined outcome based on a defined return on resource allocation estimate.

The invention relates to a positioning technology used on the vehicle on a fixed line, in particular to a system and a method for performing public traffic vehicle positioning by using a wireless network. The system comprises a positioning device installed on the vehicle, a command system of a public traffic command center and an electronic station board on a platform. The invention has the advantages that the communication between one vehicle group is realized by using the positioning device and the wireless communication network, the position where the person is reported to the other party by using the stipulated code, and the position information from other vehicles is received, so that the relative positioning is realized; the position information of the vehicle also can be transmitted to the public traffic command center, the electronic station board on the platform and the mobile phones for the specific populations for reference; and the public traffic command center also can transmit the command to the specific bus. The invention provides the positioning information for the vehicles running on the fixed line in the typical application field, and especially provides the information for the positioning, the navigation and the management for the public vehicles. Furthermore, the invention also has the advantages of low cost and simple operation.

The invention belongs to the technical field of deep ginseng processing and in particular relates to an orally disintegrating tablet containing fresh ginseng active extract and a preparation method thereof. The formula of the orally disintegrating tablets comprises the following components in percentage by weight: 50-60 percent of a fresh ginseng active extract, 20-40 percent of a filling agent, 8-15 percent of a disintegrating agent, 0.5-2 percent of a lubricating agent and 1-2 percent of an adhesive, wherein the disintegrating agent is composed of one or two of cross-linked carboxymethyl konjac starch sodium and polyvinylpolypyrrolidone cross-linked; and the mass ratio of cross-linked carboxymethyl konjac starch sodium to polyvinylpolypyrrolidone cross-linked is 0.5-5:0. The orally disintegrating tablet is prepared by a direct tabletting method. The preparation method is simple, the utilization value of ginseng can be improved by the obtained orally disintegrating tablet, and the orally disintegrating tablet is conveniently taken or eaten, so that the requirements of specific population are met. Meanwhile, the orally disintegrating tablet can be used for development of medicines, foods and health foods.

Methods for characterisation of patients as responders or non-responders to therapy based on differential expression of one or more genes are provided. Gene expression profiles, microarrays comprising nucleic acid sequences representing gene expression profiles, and new diagnostic kits and methods of treatment are also provided. The kits and methods relate to the treatment of specific populations of, for example, cancer patients, as characterised by their gene expression profile, suffering from MAGE expressing tumours.

The invention discloses an epidemic prevention and control oriented population dynamic contact structure modeling and discovery method. The method comprises the following content: a method for modeling a population dynamic contact structure by using a metapopulation based third-order tensor; a method for constructing a spatial mode of the population contact structure by using an analog simulation technology based on population statistics data; and a method for inferring a time mode of the population contact structure by using a data mining technology based on epidemic monitoring data. The invention provides a brand-new and efficient method for modeling and discovery of the population contact structure. Compared with an existing method, the method provided by the invention has the following advantages: (1) the population dynamic contact structure modeling and discovery method is provided, and the dynamic contact structure better conforms to a contact mode of human being; (2) the method can be applied to modeling and discovery of large-scale population contact structures; (3) the method has the characteristic of low cost; and (4) the obtained population dynamic contact structure can accurately predict epidemic outbreak and planning of epidemic prevention and control measures.

The present invention provides a population density analyzing system based on high resolution satellite remote sensing data, comprising: a remote sensing data acquisition module, a land feature type determination module, a population coefficient determination module, a grid division module and a population density determination module. Compared with the prior art, the present application calculates the population density in each grid respectively using the grid as the unit so that more specific population density distribution in a target area can be calculated. Compared with the existing technology, the system is more accurate. On the other hand, based on the remote sensing data, the present application can accurately determine the forming of the land feature types in the target area, so as to accurately determine the population coefficients corresponding to different land feature types to ensure high accuracy of the finally calculated population density.

The aim of an application is to provide a method for connecting a wireless access point at a user equipment side. The method comprises the following steps: receiving voice signal information of a user through a voice input unit of user equipment; determining a connection operation instruction and a target wireless access point based on the voice signal information; and establishing the wireless connection between the user equipment and the target wireless access point based on the connection operation instruction. By use of the method disclosed by the application, the process of connecting with the wireless access point by the user equipment can be simplified, and the success rate and the use rate of connecting with the wireless access point by the specific population or the specific equipment are improved.

The invention provides a hyper-parameter asynchronous parallel search method based on population evolution. The method comprises steps of selecting a member copy weight and a hyper-parameter from a group with excellent performance of the group by utilizing a function; exploring the function to carry out hyper-parameter disturbance; copying the initial hyper-parameter to a new member, and taking the initial hyper-parameter as an initial hyper-parameter; terminating the member with poor performance, and repeating the steps until the hyper-parameter configuration with the optimal performance is found. According to the hyper-parameter asynchronous parallel search algorithm, the advantages of asynchronous parallel calculation and sequence optimization are fused, hyper-parameter search is carried out through utilization and exploration in the thought of the genetic algorithm, the hyper-parameter search time is effectively shortened, and the hyper-parameter search complexity is effectively reduced. In the aspect of hyper-parameter search of deep learning, compared with traditional hyper-parameter search, the performance of the hyper-parameter search is greatly improved, and the hyper-parameter search has certain effectiveness and stability.

The invention provides a multi-objective evolutionary algorithm based on double-population cooperation. Two initial sub-populations are respectively generated by adopting a randomization method and ahybrid level orthogonal initialization method. Binary crossover-like operations and differential mutation operations are alternately applied to the two sub-populations in successive evolution to produce offspring individuals. The two sub-populations and the offspring individuals of the two sub-populations are respectively merged to generate two temporary intermediate populations, and then quick non-dominated sorting operation is respectively executed on the two intermediate populations to select better individuals from the two intermediate populations to update the external archive set. In thewhole evolutionary process, the two sub-populations keep respective evolutionary modes, and meanwhile, the two sub-populations can share and interact information through an external archive set. According to the method, the strategies and the methods are organically coordinated, the global exploration capability and the local mining capability of the multi-objective evolutionary algorithm are well balanced, and the problems that the multi-objective evolutionary algorithm is prone to premature convergence, the diversity of obtained solution sets is poor and the like are effectively solved.

The invention relates to a binary program fuzz-testing method based on a multi-population genetic algorithm and belongs to the field of binary vulnerability discovery in information safety. The methodadopts the multi-population genetic algorithm. Firstly, each test data individual is abstracted into a chromosome, then one main population and sub-populations 1 and 2 are initialized randomly or initialized by initializing data, the number of newly found sides in testing data executing paths is recorded, and the side number relevant to the testing data serves as adaptability measurement criteria; secondly, excellent individuals of the sub-populations are obtained through adaptability sorting and are migrated to main population; finally, genetic manipulations (crossing and variation) are conducted on the main population and sub-populations to obtain new individuals for a new turn of tracing execution. By adopting the binary program fuzz-testing method, the coverage rate of program executing paths can be effectively improved, and specific program executing paths can be covered. The binary program fuzz-testing method has the remarkable guiding significance on testing data generation andhas very good application and popularization values.

The present invention is a method for improving resource allocation comprising the steps of identifying at least one criteria; Identifying sets of information wherein each set of information includes a unique unit of analysis (UOA-ID), a calendar / clock time (CCT), a CATVAR and a VAR Value; grouping each UOA-ID into an appropriate specific population (Type); identifying a Start Time wherein each UOA-ID has met said at least one criteria; forming at least one prospective or retrospective Cohort time segment for each UOA-ID based on their Start Time; placing the UOA-ID into the appropriate time segment; calculating an eligibility score for each UOA-ID for each time segment; calculating an Eligible Adjusted Variable Value; and generating at least one Output Expression.

The invention discloses a multi-workflow scheduling method based on multi-population hybrid intelligent optimization in a cloud environment, and the method comprises the steps: respectively optimizing the total execution time and cost of a multi-workflow scheduling scheme through employing two populations, employing a third population, carrying out the proper balance of the optimization of the two targets; By focusing on searching different types of non-dominant solutions through the three populations, the diversity of elite solutions is improved, the defect that an existing intelligent optimization method is large in searching randomness is effectively overcome, and an optimal workflow scheduling scheme set can be found under the condition that the deadline condition of a user is met.

The invention discloses a mutation test data generation method based on multi-population coevolution, and aims to gradually reduce a search domain according to information provided by population evolution when a multi-population coevolution genetic algorithm is adopted to generate test data for variants which are difficult to kill, so as to improve the efficiency of generating mutation test data.The method comprises the following steps: firstly, determining a difficult-to-kill variant based on the reachable difficulty of a variant statement, the number of related program input variables and other indexes; then, establishing a mathematical model of a mutation test data generation problem based on path coverage constraints, and finally, for the variants which are difficult to kill, determining the opportunity and strategy of search domain reduction based on information provided by population evolution by adopting a multi-population coevolution genetic algorithm, dynamically reducing thesearch domain, and quickly and accurately generating mutation test data.

The present invention provides a wearable device and an application device system, and belongs to the technical field of device control, so as to solve a problem in the prior art that an application device is inconvenient to control. The wearable device provided by the present invention is used for being worn by a wearer, and comprises: a brain wave collecting unit used for collecting a brain wave of the wearer; a determining unit used for obtaining an instruction according to the brain wave, sending the instruction to a prompt unit, and receiving a feedback from the wearer for confirming or canceling the instruction; the prompt unit used for sending a prompt to the wearer, wherein the prompt comprises a prompt to make the wearer confirm or cancel the instruction; and a sending unit used for sending control information to an application device wirelessly according to the instruction confirmed by the wearer. The wearable device provided by the present invention can be used for controlling application devices such as household appliances, and is especially applicable to control of application devices for specific populations or in particular cases.