31 results about "Entire population" patented technology

The invention provides a method and system for aggregating and pooling information with feedback in a computer communication system. A communication system includes a server device and a set of client devices. Each client device collects information from an associated individual (whether by asking questions of those individuals, or accepting data input from peripheral devices), and transmits that data to a server device. The server device, or some other device at its behest, determines statistical information with regard to that data (such as aggregate, correlation, dispersion, or other measures), and provides that information to a communication channel for distribution to the individuals. The communication channel can include either (1) a broadcast communication channel that members of an affinity group can display, or (2) redistributing the determined statistical measures to associated individuals using the client devices. The statistical measure (such as an aggregate or sum) can be computed and distributed for the entire population, or can be computed and compared for selected sub-populations as a contest.

A method of generating a clinically supplemented risk score using data from an electronic health record system can include collecting data from a plurality of electronic health records; parsing the data into defined fields; comparing the parsed data to at least one look-up table to generate an inferred diagnostic condition; comparing the inferred diagnostic condition to a documented diagnostic condition; mapping the inferred diagnostic condition to at least one condition category; refining the at least one mapped inferred diagnostic condition into a hierarchy to generate a hierarchal mapped conditioned category; and determining via a processor, a risk score in response to the inferred diagnostic condition for the patient in response to the hierarchal mapped conditioned category, the risk score representing an expected total cost of care for the patient relative to the average per-patient cost of care over an entire population.

A tool to assess risks associated with software applications, and controls implemented to mitigate these risks, includes a first software component configured to gather information about the risks and controls, and a second software component configured to display the gathered information. The first software component includes a self-assessment tool which is invoked by a user to enter information reflective of risk levels over a number of risk categories. These risk levels are used to calculate a risk score associated with a particular application. The user also enters information as to whether or not a number of specific control attributes have been implemented, and this information is used to calculate a control score. This process may be repeated for each of several software applications. The second software component allows one to selectively display various subsets, or even the entire population, of the collected information by invoking various combinations of parametric filters on the compiled information.

A comprehensive set of risk groups explicitly identifies groups of individuals with multiple interacting co-morbid conditions, and which explicitly identifies the severity of illness level. This allows accurate prediction of future health care resource needs of an entire population, while simultaneously helping the health care provider isolate problems to identify changes in care to reduce costs and improve quality.

The present invention is a method or apparatus configured for analyzing a data storage device containing a transducer head positionable adjacent a data storage media surface. First, a defect is detected in a region of the surface. Two or more readback signals are obtained, each received during a respective pass of the transducer head adjacent the defective region. The signals are then combined to define a category for the defective region, either automatically or by visual examination of an image. Preferably, all of the read signals are received from the transducer head while the data storage device remains sealed in a substantially opaque chamber. That way, the media defects of an entire population of data storage devices can be analyzed quickly, disassembling the drives for direct visual analysis only on a selective basis.

A method of obtaining a mixture of cells enriched in hepatic progenitors is developed which comprises methods yielding suspensions of a mixture of cell types, and selecting those cells that are classical MHC class I antigen(s) negative and ICAM-1 antigen positive. The weak or dull expression of nonclassical MHC class I antigen(s) can be used for further enrichment of hepatic progenitors. Furthermore, the progenitors can be selected to have a level of side scatter, a measure of granularity or cytoplasmic droplets, that is higher than that in non-parenchymal cells, such as hemopoietic cells, and lower than that in mature parenchymal cells, such as hepatocytes. Furthermore, the progeny of the isolated progenitors can express alpha-fetoprotein and / or albumin and / or CK19. The hepatic progenitors, so isolated, can grow clonally, that is an entire population of progeny can be derived from one cell. The clones of progenitors have a growth pattern in culture of piled-up aggregates or clusters. These methods of isolating the hepatic progenitors are applicable to any vertebrates including human. The hepatic progenitor cell population is expected to be useful for cell therapies, for bioartificial livers, for gene therapies, for vaccine development, and for myriad toxicological, pharmacological, and pharmaceutical programs and investigations.

The invention, which belongs to the field of underwater robots, discloses an unmanned aerial vehicle path planning method in an ocean current environment based on a population super-heuristic algorithm. A population is initialized and initial comprehensive cost values of all individuals in the whole population are obtained according to the cost function; a population basic operation set and a corresponding operation selection probability vector are set; one individual in the population and a population basic operation corresponding to the maximum probability in the operation selection probability vector are selected, the individual is operated, the basic operation of the population is repeated until the entire population is traversed, so that the iteration is completed; the operation selection probability vector is adjusted again and next iteration is carried out until the iteration number reaches a set value; and after iteration completion, an individual with the lowest cost value isselected, one group of control points is formed by combining a starting point, an end point and a fixed control point of a B-spline curve, and an optimal path is generated. Therefore, problems that the path planned based on the existing AUV path planning method is not smooth and is tracked difficultly, and the tracking energy consumption is high are solved.

The Internet is becoming an essential part of our lives. This trend is even stronger with the rise of cell phones having Internet access that almost the entire population carries with them at all times. Security is a huge problem on the Internet, however, and new authentication methods are needed specifically for cell phones. Presented here is a method of identifying a mobile electronic device by its configuration settings, potentially including contact list information. This invention, in particular, fills a crucial need to secure access to the Internet from mobile phones.

A method for measuring a change between two values for one or more data elements over time uses a “delta” value to indicate the significance of the change. The delta value is the difference between the two values, added to the ratio between those values multiplied by an asymptote. Experimental data sets with known values may be used to create data sets to which selection criteria are applied in order to calculate an optimal asymptote for the application of the delta values. This optimal asymptote may then be used for calculating delta values across an entire population for predictive purposes.

Disclosed herein is a computer implemented method and system that addresses the need for utilization analysis and performance evaluation of providers in a health care organization. The health care data comprising health plan information of consumers, providers, claims, and hospitals is collected, translated, and organized in a structured relational format and stored in standard tables. The organized health care data is analyzed by calculating consumer statistics for a health plan using the health plan information of the consumers. The claims of the consumers are processed to classify the claims based on age, gender, disease, and comorbid conditions of the consumers. A plurality of costs of the health care organization is determined using one or more of the health plan information. The performance of the providers is assessed using the determined plurality of costs. The providers comprising primary care physicians are analyzed based on entire population of the associated consumers.

A method of obtaining a mixture of cells enriched in hepatic progenitors is developed which comprises methods yielding suspensions of a mixture of cell types, and selecting those cells that are classical MHC class I antigen(s) negative and ICAM-1 antigen positive. The weak or dull expression of nonclassical MHC class I antigen(s) can be used for further enrichment of hepatic progenitors. Furthermore, the progenitors can be selected to have a level of side scatter, a measure of granularity or cytoplasmic droplets, that is higher than that in non-parenchymal cells, such as hemopoietic cells, and lower than that in mature parenchymal cells, such as hepatocytes. Furthermore, the progeny of the isolated progenitors can express alpha-fetoprotein and / or albumin and / or CK19. The hepatic progenitors, so isolated, can grow clonally, that is an entire population of progeny can be derived from one cell. The clones of progenitors have a growth pattern in culture of piled-up aggregates or clusters. These methods of isolating the hepatic progenitors are applicable to any vertebrates including human. The hepatic progenitor cell population is expected to be useful for cell therapies, for bioartificial livers, for gene therapies, for vaccine development, and for myriad toxicological, pharmacological, and pharmaceutical programs and investigations.

The invention discloses a family doctor signing method based on an APP, a WeChat client and a webpage terminal. The method comprises the steps of: promoting family doctor signing through a public health examination system and value-added service; monitoring device placement and binding; docking a signed doctor and creating a file; performing information uploading, feedback and completion; buildinga regional medical and health information platform; realizing remote dynamic monitoring and management of chronic diseases in the signed people; providing a mobile internet interactive information platform, etc. The family doctor signing method based on the APP, the WeChat client and the webpage terminal can promote the implementation of family doctor signing service as soon as possible, can forma long-term stable contractual service relationship with residents, and can be gradually extended to the entire population by regional contracting services.

Adherent cells bearing characteristics that are detectable only in the adherent state can be sorted on the basis of these characteristics independently of their adherent state, by applying a transformable label to the entire population of cells, both those bearing the characteristics of interest and those not, in their adherent state and identifying the locations of the cells of interest on the adherent surface. The cells of interest, or all cells other than those of interest, are then selectively treated to transform the labels and achieve differentiation between the cells of interest and the remaining cells. All cells are then released from the adherent state and sorted in the same manner as non-adherent cells but on the basis of whether the labels are transformed or not transformed.

The Internet is becoming an essential part of our lives. This trend is even stronger with the rise of cell phones having Internet access that almost the entire population carries with them at all times. Security is a huge problem on the Internet, however, and new authentication methods are needed specifically for cell phones. Presented here is a method of identifying a mobile electronic device by its configuration settings, potentially including contact list information. This invention, in particular, fills a crucial need to secure access to the Internet from mobile phones.

The embodiment of the invention discloses an entire population intelligent footpath system based on big data. A cloud platform is configured to analyze exercise monitored by a monitoring platform withexercise data of each exercise user according to a preset clustering classification model and classify each exercise user moving on a current footpath to the exercise population of corresponding agegroups; the exercise monitored by the monitoring platform is analyzed relative to the exercise data of each exercise user moved in the current footpath to obtain an analysis result comprising exercisehabit information of the exercise population of each age group, according to the preset exercise mode optimization model, the exercise habits of the exercise population of each age group are optimized, and the suggestion information is pushed to each mobile terminal of the exercise user moved on the current footpath and the exercise experience of the exercise user is improved.

The invention discloses a neural-network learning algorithm based on particle swarm optimization. Firstly, data are acquired to be used as training sample data of an RBF (radial-basis function) neural-network; subtractive clustering is carried out on the training sample data, and the number of basis-function centers is determined; a particle swarm is initialized; fitness of each particle in the particle swarm is processed, the current fitness of the particle is compared with historical optimal fitness, and pid is updated if the current fitness of the particle is better; the fitness of each particle is compared with fitness of a best position experienced by the population, and pgd is updated if the fitness of the particle is better; velocity and positions of particles are repeatedly adjusted until a requirement is met; values of a best position experienced by the entire population are used as parameters of the RBF neural-network after decoding, and training, accuracy verification and prediction of the neural network are carried out; and operations are stopped. The method has the advantage of enabling performance of the RBF neural-network to be better through introducing a particle swarm optimization algorithm of neural-network improvement.

The invention discloses a health information management system centered on disease management. The health information management system centered on disease management is established by combining the known information of the prior system so as to constitute a disease composite data exchange platform. By utilizing the system, the data acquisition of all diseases and the whole-course data monitoringof diseases are realized so as to enable data samples to cover entire population and the whole cycle of the diseases; the early warning and alarm of public health events are realized so as to preventand deal with crises brought about by infectious diseases, biochemical attacks and the like in time; dynamic quality control management is realized so as to ensure management quality and data accuracyand reduce costs for quality control and administrative management; and data sharing is realized in important government departments so as to discover public crises of foods and drugs in time, effectively control the spread of the diseases and reduce medical expenses.

A spatial optimization method for population protein conformation based on diversity indicators, comprising the steps of: firstly using the first stage of Rosetta to assemble in segments to generate an initial population, and using the second stage of Rosetta to assemble in segments to generate a new population; then performing Loop exchange on the conformation for the randomly selected Loop region to realize population reorganization; secondly, mutating each conformation based on the Loop region, merging all new individuals generated by the mutation with the current population, extracting theUSR characteristic information of the conformation to establish a diversity index, and updating the entire population based on the index and energy; finally, further optimizing the entire populationrespectively using the third and fourth stages of Rosetta to obtain the final prediction result. The invention has high sampling efficiency, good diversity, low complexity and high prediction precision.

Disclosed herein is a computer implemented method and system that addresses the need for utilization analysis and performance evaluation of providers in a health care organization. The health care data comprising health plan information of consumers, providers, claims, and hospitals is collected, translated, and organized in a structured relational format and stored in standard tables. The organized health care data is analyzed by calculating consumer statistics for a health plan using the health plan information of the consumers. The claims of the consumers are processed to classify the claims based on age, gender, disease, and comorbid conditions of the consumers. A plurality of costs of the health care organization is determined using one or more of the health plan information. The performance of the providers is assessed using the determined plurality of costs. The providers comprising primary care physicians are analyzed based on entire population of the associated consumers.

The invention relates to a sub-population co-evolution-based protein structure prediction method. According to the method, a whole population is divided into a plurality of sub-populations of the samescale; as for the first sub-population, conformations are selected from the other different sub-populations so as to be subjected to variation; as for the second subpopulation, an optimal conformation in a subpopulation where a target conformation is located and conformations in the other subpopulations are selected so as to be subjected to variation; as for the third subpopulation, an optimal conformation in the entire population and the conformations in the other subpopulations are selected so as to be subjected to variation; and as for the other subpopulations, conformations are selected from the subpopulation where the target conformation is located and the other subpopulations are selected so as to be subjected to variation; and a test conformation is updated according to the Boltzmann probability. The sub-population co-evolution-based protein structure prediction method provided by the invention has the advantages of high prediction accuracy and high search efficiency.

The invention discloses a method for setting the green light time of a pedestrian crosswalk under signal control, aiming at overcoming the problem that the existing pedestrian crossing time determination method does not consider the influence of the number of pedestrians on the pedestrian speed and the actual capacity of the pedestrian crosswalk. In the time setting method, the crowd crossing time is determined by the crowd dissipation time t s , the people in the same direction basically travel through time t 0 Delay time t d Composition, the method steps are as follows: 1. crowd dissipation time t in crowd crossing time s Calculation of: determine the lateral distance δ of pedestrians in the crowd, obtain the number of pedestrians in the crowd accumulated in the cycle and the number of pedestrians in the entire crowd in a cycle; 2. The basic crossing time t of the crowd in the crowd crossing time 0 3. The blocking delay time t of opposite pedestrians in crowd crossing time d Calculation; 4. Comprehensive consideration of crowd dissipation time t s , the crowd basically travels through time t 0 and the blocking delay time of the opposite pedestrian t d Post-optimization to get crowd crossing time T: T=t s +t 0 +t d .

The invention relates to the field of computational intelligence, in particular to an adaptive swarm intelligence algorithm candidate solution correction method for group information sharing. The present invention uses social information as a primary guide to modify candidate solutions while preserving individual experience to some extent. The method determines the value of attraction factor by calculating the position relation of multiple reference points obtained by Gaussian sampling, and then adaptively determines the influence of individual and group knowledge. Correct candidate solutionsto the maximum extent possible, while maintaining personal experience as self-judgment. Taking MQHOA algorithm as an example, Gaussian sampling is used to represent the distribution of candidate optimal solutions. Thus, the method uses Gaussian sampling to generate a new reference point for correction. The historical best position of the candidate solution and the best position of the entire population are used to determine the position of the sampling center, and the distance relationship between the reference points is used to determine the value of the attraction factor, thereby determiningthe adoption ratio of social information and personal experience.

The invention discloses a method for optimizing the broken paper splicing and recovery problem through a genetic algorithm. The method is characterized by, to begin with, carrying out gene differenceassessment, and determining horizontal and vertical splicing difference between genes; then, initializing the entire population in a preset encoding mode, and carrying out assessment on chromosome fitness in the population by utilizing the gene difference and recording the optimum chromosome; then, entering an algorithm evolution process, randomly selecting chromosomes in the population as parental chromosomes to form cross combination, executing a cross operator and generating progeny chromosomes; randomly selecting one of four mutation operators to carry out mutation on newly-generated chromosomes and inserting the mutated chromosomes into the population; after execution of the cross and mutation operators, selecting a plurality of optimal individuals from the new population to form a new population; and if meeting termination conditions, terminating evolution and outputting gene arrangement information of the optimal chromosomes, or otherwise, continuing to return to the evolution flow for population evolution.

The invention relates to a dynamic characteristic optimization method of an electromagnetic mechanism based on a particle swarm algorithm for niche sorting, and belongs to the technical field of dynamic characteristic optimization of an electromagnetic mechanism. The invention aims to solve the problem that the current optimization algorithm for solving the dynamic characteristics of the electromagnetic mechanism can only perform single-objective optimization. It first determines the dynamic characteristic optimization parameters and the optimization objective function; then determines the upper and lower limits of each dynamic characteristic optimization parameter and additional constraint indicators related to the dynamic characteristic optimization parameters; obtains the initialization data of each dynamic characteristic optimization parameter; calculates and obtains the corresponding Optimize the objective function value; select the individual optimal position of the particle parameter and the global optimal position of the entire population to obtain the Pareto solution set distribution of the optimized objective function; measure the optimized objective function value in the Pareto solution set distribution obtained in step five Or focus on selection, select the corresponding dynamic characteristic optimization parameter value. The invention is used for optimizing the dynamic characteristics of the electromagnetic mechanism.

The invention discloses a radio frequency identification network layout optimization method based on multi-population symbiotic evolution, which mainly solves the problems of prematurity, slow convergence speed and poor stability in the prior art when using a genetic algorithm to lay out a network. Its technical scheme is: its implementation steps are: 1. Randomly group the population, independently calculate the fitness of each sub-population objective function, and design a strategy for sequentially comparing the objective function and a tentative deletion operator; 2. In the iterative process, Share the global best value found by the entire population so far; 3. Each sub-population updates its own position of each sub-population according to the global optimal position, so as to find the best network layout scheme. The invention has the advantages of small initial population size, fast convergence speed and high stability, and can effectively solve the problem of network layout.

The invention discloses a kit for assisting in judging blood vessel function of the whole population. It includes a parameter collection device and a readable carrier; the parameter collection device includes a device for collecting various parameters involved in the readable carrier; the readable carrier records content such as formula I and formula II . A suit for assisting in judging the vascular function of the whole population, which includes weight measuring equipment, waist circumference measuring equipment, blood pressure measuring equipment and computing equipment equipped with a parameter calculation module; the parameter calculation module can perform calculations such as Formula I and Formula II. The kit of the present invention can assist in judging the risk of vascular dysfunction in the whole population (30-69 years old).

The invention discloses a method for preventing and distinguishing fake products by using the internet and two-dimension codes. The method comprises the following steps of: 1) randomly setting a set of unique two-dimension codes for each product by a manufacturer; 2) logging on an official database of the manufacturer through the internet to realize butting, wherein each time the two-dimension codes are scanned, a two-dimension code counter automatically accumulates a count; 3) scanning and logging on to verify the two-dimensional codes; and 4) judging whether a product is genuine by displaying the counting numerical value of the two-dimension code counter and the related identity information of a two-dimension code recognizer on the two-dimension code recognizer which scans the two-dimension codes at the same time. The method has the beneficial technical effect that the two-dimension code recognizer is combined with the internet to quickly identify the authenticity of the product on the spot through simple scanning, so that the aims of identifying and cracking down on fake products by the entire population of a country and ensuring that the fake products have no place to hide and disappear from the scene are achieved.

Adherent cells bearing characteristics that are detectable only in the adherent state can be sorted on the basis of these characteristics independently of their adherent state, by applying a transformable label to the entire population of cells, both those bearing the characteristics of interest and those not, in their adherent state and identifying the locations of the cells of interest on the adherent surface. The cells of interest, or all cells other than those of interest, are then selectively treated to transform the labels and achieve differentiation between the cells of interest and the remaining cells. All cells are then released from the adherent state and sorted in the same manner as non-adherent cells but on the basis of whether the labels are transformed or not transformed.

The invention relates to a negative oxygen ion positioning shower type tristate ion cell regeneration anti-ageing commercial health preserving room, which belongs to the field of the application studyof an air ionization technique in the artificial environmental science, the electro-climatology, the modern physical medicine, convalescence medicine, and 'ion medicine' in self health care medicine.The health preserving room consists of six parts, namely, negative oxygen ion shower single nozzles, far infrared bathroom heaters, a humidifier, a bathroom main body with humiture control function,an ionized water supply device and an ion meal supply device, wherein the negative oxygen ion shower single nozzles ensure that each person uses one of the negative oxygen ion shower single nozzles ina poisoning mode; the humidifier and the far infrared bathroom heaters are commercial products; and the negative oxygen ion shower single nozzles and the far infrared bathroom heaters are evenly distributed on the ceiling or the upper space of the bathroom. The concentration of high-concentration pure negative oxygen ions of the health preserving room can reach 5 to 6 thousand times of that of hydrated hydroxyl negative ions of a tourmaline health preserving room, each person uses one ion shower single nozzle to greatly improve the curative effect and reduce the cost, and thus the health preserving room is favorable for popularization and application and can make a significant contribution to improving the health level of the entire population of a country.