52 results about "Population sample" patented technology

One embodiment of the present invention provides a system for selecting a set of nodes to maximize information spreading. During operation, the system receives a budget constraint and a population sample, constructs a social network associated with the population sample, analyzes a network graph associated with the social network to obtain structural information associated with a node within the social network, estimates characteristics associated with the node, and selects the set of nodes that maximizes the information spreading under the budget constraint based on the structural information and the characteristics associated with the node.

This invention relates, e.g., to a composition that, at room temperature, when contacted with a sample comprising phosphoproteins, can fix and stabilize cellular phosphoproteins, preserve cellular morphology, and allow the sample to be frozen to generate a cryostat frozen section suitable for molecular analysis. The composition comprises (1) a fixative that is effective to fix the phosphoproteins, and that has a sufficient water content to be soluble for a stabilizer and / or a permeability enhancing agent); (2) a stabilizer, comprising (a) a kinase inhibitor and (b) a phosphatase inhibitor and, optionally, (c) a protease (e.g., proteinase) inhibitor; and (3) a permeability enhancing agent (e.g. PEG). Methods are described for preserving phosphoproteins, using such a composition. Also described are endogenous surrogate markers for monitoring protein degradation, including the loss of posttranslational modifications (such as phosphorylation), e.g. the following removal of a cell or tissue from a subject; and exogenous molecular sentinels (e.g. phosphoproteins attached to magnetic nanoparticles) that allow one to evaluate the processing history of a cellular or tissue population sample.

The invention aims to provide a system for monitoring the state of a harmonic load. The system is realized by a following method as follows: an everyday sample is established according to statistic characteristic quantity of historical data corresponding to the effective value of every-order harmonic current; a population sample in any time period is established according to the everyday sample; a normal cloud model of the effective value of the every-order harmonic current is established and converted to the boundary membership under a standard normal cloud model according to the statistic rule of the population sample, so as to establish a retrieval body of the harmonic current. By the system, the state of the harmonic load can be diagnosed and minored in real time according to the retrieval body of the harmonic current; the system is applicable to the occasion when the running state is abnormally small; and the method has a certain practical value in engineering.

The embodiment of the invention discloses an adjustment method and device of a face recognition model and a storage medium. The embodiment of the invention can obtain an original sample set used for training the face recognition model and an adjustment sample set (a minority population sample set) used for adjusting the model, respectively train the face recognition model according to the same, then determine a similarity distribution curve of the original sample set and a similarity distribution curve of the adjustment sample set, and then adjust the face recognition model through convergenceon the similarity distribution curve of the original sample set and the similarity distribution curve of the adjustment sample set. The scheme fine-tunes the face recognition model on the premise ofnot increasing face recognition system architecture complexity and not impacting majority population face recognition accuracy, and thus facilitates fast improvement of minority population face recognition accuracy.

This invention concerns patentable devices configured to capture cancer stem cells and cell clusters. After capturing such cells and / or clusters, the cancerous cells are subjected to whole genome sequencing. The resulting genomic sequence information is then compared to that for “normal” or non-diseased tissue (obtained, for example, from either the same patient, or a population sample, etc.) in order to identify the specific genetic mutation(s) present in the CSCs. Further analysis then correlates the genetic mutations with cell growth signaling pathways typically found with tumor metastases. Armed with this information, an oncologist can then develop a specifically targeted therapy that utilizes approved drugs or drug candidates undergoing clinical testing to address the identified driver mutations and thus effect a “targeted” therapy tailored to the particular patient's disease.

The invention discloses a system and a method for layering a population sample survey sample. The system comprises a population database building module, a population space distribution comprehensive weighting value acquiring module, an index normalizing treatment module, a layering model building module and a sample extracting module, wherein the population database building module is used for pre-processing disperse databases with the system to form an integrated global information base so as to provide data support; the population space distribution comprehensive weighting value acquiring module is used for building a population space distribution comprehensive weighting value calculating module so as to acquire a population space distribution comprehensive weighting value in each area; the index normalizing treatment module is used for normalizing quantitative index data so as to build an area factor population coefficient surface; the layering model building module is used for building a population sample survey layering module according to a set layering principle; and the sample extracting module is used for extracting the sample from the population sample survey layering module.

A computer-based method and system to enable a benefit plan sponsor to design a plurality of benefit plans to be offered to a given participant population and for determining the cost of sponsoring the plans for the participant population by predicting utilization for each of the plans based upon historical utilization data for the population, projected plan selections based upon presumed participant objectives, and / or survey or historical data from a sample of the given population or from preexisting statistical samples exhibiting analogous demographic characteristics to the given participant population relating to expected benefit utilization and plan preference criteria.

The invention discloses a kit used for detecting body size traits of chicken and a molecular breeding method of the chicken and belongs to the field of molecular genetics. MassARRAY system matrix-assisted laser desorption / ionization time-of-flight mass spectrometry and a single-primer extension reaction are combined, miRNA (micro ribonucleic acid)-1658 (rs16681031 C / G) single-SNP (single nucleotide polymorphism) site genotyping detection on F2 generation resource population samples of Gushi chicken and Anak chicken is performed, and correlation analysis with the size traits of F2 generation resource populations is performed. Results show that the chicken miRNA-1658 gene SNP (single nucleotide polymorphism) is obviously correlated with the body size traits of the chicken; a GG gene facilitates obvious increasing of chest breadth, crista breadth and body slanting length of a four-week-year-old chick; chicken flocks with excellent genetic resources can be quickly built by taking the GG gene as assistant selection of the body size trait of the four-week-year-old chick and as a molecular genetic breeding marker of the four-week-year-old chick.

The invention relates to a composite adaptive internal model control optimizing method based on an efficient improved type differential evolution algorithm, and belongs to the technical field of automatic control. A good global optimizing function can be maintained under the conditions of fewer population samples and smaller maximal iteration times, and the optimized identification parameters of asystem inverse model are searched, so that adaptive internal model control optimized parameters are efficiently acquired. A non-linear pneumatic elastic vibration control system is subjected to a simulation experiment by the composite adaptive internal model control optimizing method provided by the invention; the experiment result indicates that compared with the composite adaptive internal model control based on the conventional differential evolution algorithm, the composite adaptive internal model control optimizing method based on the efficient improved type differential evolution algorithm has the advantages of high optimizing efficiency, low calculation cost, small optimizing control overshoot and the like, and is a composite adaptive internal model control optimizing method with popularization value.

The invention discloses a method for identifying an artificial release population and a natural wild population of salmon, comprising the following steps of: sample pretreatment, electronic microprobeanalysis, data analysis and population discrimination. The method comprises the steps of collecting regression population samples of the salmon, selecting sagitta to carry out otolith microchemical analysis, carrying out quantitative line analysis on the sagitta by adopting an electronic microprobe technology, and calculating Rf1, RL and RC values of salmon otolith as the main judgment basis, verifying and checking the regression population of the salmon according to the method. The discriminant success reaches 100%. In addition, the artificial propagation population and the natural population can be effectively identified based on the difference between the current cultivation process of the released salmon fry and the wild hatching conditions of the natural population salmon, and additional mark on the released salmon fry is not required, so that the artificial propagation population and the natural population can be effectively identified, the limitation of the condition of the salmon marking work can be overcome, and the damage of the marking work to the salmon body can be avoided.

This present invention provides methods and kits for identifying patients at risk of suffering from a drug induced liver injury, particularly for an antioxidant drug, or for identifying patients who are suffering from early stages of a liver disorder by assessing the levels of apolipoprotein in a sample of the patient and comparing that to a reference value. The reference value is predetermined by identifying a population sample and determining an upper limit of normal value. This value is then used as a reference point for comparison of apolipoprotein levels from patient samples. In one embodiment, apolipoprotein levels are combined with ATL and / or total bilirubin levels for predicting liver damage, hepatotoxicity or hepatic events after drug administration.

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.

Accordingly, embodiments of the present invention advantageously account for item discrimination in a single-parameter logistic model used for measuring a test-taker's ability and an item's difficulty. Accounting for item discrimination improves the reliability of a test without increasing the number of test items. To account for item discrimination in a single-parameter logistic model, this invention uses the correlation between item response (correct or incorrect) and total test score or other measure of test-taker ability to obtain a Bayesian estimate of the correct-response probability (between zero and one). This correlation is a measure of item discrimination. The numerator in the formula for this correlation contains the difference between the average test score of test-takers who got the item right and the average test score of test-takers who got the item wrong.

The method discloses a method for counting microcystis population cells. First, a water sample of 1L is collected from natural water at the outburst acme of microcystis water blooms, then, the collected water sample is filtered through a microfiltration membrane with the pore diameter of about 0.45 microns, next, microcystis population samples attached to the microfiltration membrane after the filtration are suspended in a 100mL beaker containing 10mL of 10<-3>mol / L EDTA solution, after 100 small glass beads are added into the beaker, the solution in the beaker is stirred for 100min magnetically at 1600rm / min, totally dispersed single-cell microcystis samples are obtained and undamaged, and finally the microcystis cells are counted with a blood counting chamber. The method for counting microcystis population cells has the advantages of simplifying experimental steps, and being short in consumed time and capable of being used for accurately counting the microcystis population cells.

The invention discloses a driver eye ellipse establishing method, which belongs to the technical field of automobile ergonomics. The method comprises the following steps: generating a male and femalemixed population sample through Monte Carlo simulation according to digital characteristics of human body data distribution of a target population; establishing a kinematic model of the driving sitting posture, and defining the posture of the human body; establishing a mathematical model for predicting the driving sitting posture according to the cab arrangement size and the human body size through research; utilizing the generated population sample data to predict the driving sitting postures of the population so as to obtain the positions of the eye points in a cab; performing the same calculation on all the sample points to obtain eye point coordinate scatter data; and performing statistical analysis and calculation on the scatter data to obtain eye ellipse parameters corresponding to the current vehicle type arrangement size. According to the driver eye ellipse establishing method, the eye point distribution of the target population can be rapidly obtained, and the eye ellipse is established.

Accordingly, embodiments of the present invention advantageously account for item discrimination in a single-parameter logistic model used for measuring a test-taker's ability and an item's difficulty. Accounting for item discrimination improves the reliability of a test without increasing the number of test items. To account for item discrimination in a single-parameter logistic model, this invention uses the correlation between item response (correct or incorrect) and total test score or other measure of test-taker ability to obtain a Bayesian estimate of the correct-response probability (between zero and one). This correlation is a measure of item discrimination. The numerator in the formula for this correlation contains the difference between the average test score of test-takers who got the item right and the average test score of test-takers who got the item wrong.

The invention discloses a gas-electric coupling system operation optimization method. The method comprises the following steps of a data reading step, a sample generation step, a population sample number judgment step, a maximum population algebra setting step, a population sample calculation step, a population sample judgment step, a genetic operation step, a population algebra judgment step andan optimal solution output step. Based on real-time requirements of natural gas loads and electric loads, management of energy is optimized. Based on the concept of an energy concentrator, an energy center model is established. The energy center model comprises an energy converter including a transformer, a combined heat and power generation unit, a gas-fired boiler, a heat pump and a lithium bromide unit in order to provide flexible energy flow paths. The target of minimizing cost of a gas-electric coupling system is set . The constraint conditions are set for equipment capacity and network flow.

A method and apparatus for data comparison is applied to the comparative analysis of daily data in semiconductor industry. The method includes collecting the sample data, detecting and eliminating theoutlier, verifying the engineering index, judging whether the current distribution type of population sample data is known, detecting the distribution type of population sample data, and carrying outa parameter comparison method, a non-parameter statistical comparison method and the engineering method determination and so on. The invention provides a complete set of data comparison method and apparatus with wide trial range, which is used for guiding the daily data comparison and analysis practice in semiconductor industry.

The present invention discloses a molecular detection method of resistance of diamond back moth against an avermectin target. According to the method, a specific primer designed according a diamond back moth glutamate chloride ion channel gene sequence is used, extracted diamond back moth single-head genomic DNA is used as a template for PCR amplification of glutamate chloride ion channel gene fragments, diamond back moth individual genotypes (sensitive homozygote SS, resistant heterozygote RS and resistant homozygote RR) can be distinguished by analysis of a target fragment purified product direct sequencing chromatogram, and population sample resistance allele mutation frequency can be detected. A detection method of diamond back moth glutamate chloride ion channel gene A309V mutation and a special primer sequence are disclosed, and the method has the advantages of being simple, rapid and high in accuracy, can be used to monitor the occurrence and development trend of allele frequency of the resistance of a diamond back moth field population against avermectin and drug resistance, and provides an important basis for adjustment of diamond back moth chemical control strategies and formulation of measures to delay the development of resistance.

This present invention provides methods and kits for identifying patients at risk of suffering from a drug induced liver injury, particularly for an antioxidant drug, or for identifying patients who are suffering from early stages of a liver disorder by assessing the levels of apolipoprotein in a sample of the patient and comparing that to a reference value. The reference value is predetermined by identifying a population sample and determining an upper limit of normal value. This value is then used as a reference point for comparison of apolipoprotein levels from patient samples. In one embodiment, apolipoprotein levels are combined with ATL and / or total bilirubin levels for predicting liver damage, hepatotoxicity or hepatic events after drug administration.

The invention provides a plot resident population measuring and calculating method based on mobile phone signaling. The plot resident population measuring and calculating method comprises the following steps: 1) identifying an effective plot in which someone resides for a long time; 2) measuring and calculating living population of an effective plot through a population sample expansion discrete model based on a mobile phone base station; 3) fusing and expanding population data based on mobile phone signaling of a mobile phone operator; and 4) verifying the data and checking the plot data through a plot current building quantity and occupancy rate method and an on-site sampling survey method. According to the method, the population is dispersed to the land parcel, the real population is distributed to the corresponding land parcel through the signal transmission relationship between the mobile phone terminal and the base station, errors caused by subjectivity of geographical and topographic factor selection, pure departure from current social development and human activities are avoided, and the method is suitable for popularization and application.

The invention discloses a rock foundation pit blasting parameter dynamic regulation and control method. The method comprises steps of establishing a nonlinear mapping relationship between an input vector and an output vector by using a GP machine learning method; taking the optimal hyper-parameter in the GP as a population sample in the DE algorithm, searching each optimal hyper-parameter of the GP through variation, intersection and selection in the DE process by means of the optimization capability of DE, optimizing the GP model, and improving the prediction capability of the GP model, thereby predicting an output value closer to an optimal solution. Furthermore, the optimal output value of the prediction result of the GP model and the mean square error between the output value and the control value are used as the fitness function of DE, and the prediction capability of the GP model is improved by optimizing the sample population and gradually approaching the optimal solution, so that the target vector closer to the optimal solution is predicted. According to the method, a Gaussian-differential evolution algorithm (GP-DE) blasting intelligent optimization algorithm is introducedon the basis of blasting monitoring data analysis to quickly and effectively optimize the blasting parameters, so that the construction process is ensured to be carried out safely.

The invention belongs to the field of a domestic animal molecular biotechnology and genetic breeding and discloses molecular cloning of a meat quality trait related gene Prox1 of pigs and application.A full-length cDNA (complementary Deoxyribonucleic Acid) sequence of a pig Prox1 (Prospero-related homeobox protein 1) gene is cloned by utilizing a RACE technology, the full length of the sequence is 3683 bp and sequence characteristics are shown as SEQ ID NO: 4. A dual-luciferase activity analysis technology is used for determining an active region of a pig Prox1 gene promoter region and a positive regulation and control element with influences on the activity of a promoter exists in a -1182 / -1957 bp region; negative regulation and control elements with the influences on the activity of thepromoter exist in a -1182 / -682 bp region, a -682 / -192 bp region and a -192 to +122 bp region. A population sample expression mode shows that the pig Prox1 gene is a gene which is remarkably related to meat colors and can be used as a marker gene for grading the meat colors. Furthermore, 18 hereditary variation sites are identified in a pig Prox1 gene promoter sequence and the invention proves that three hereditary variation sites which are completely interlocked are remarkably related with the pH (Potential of Hydrogen) trait of pork and can be used as an important molecular marker for production trait assisted breeding of pigs.

This invention relates, e.g., to a composition that, at room temperature, when contacted with a sample comprising phosphoproteins, can fix and stabilize cellular phosphoproteins, preserve cellular morphology, and allow the sample to be frozen to generate a cryostat frozen section suitable for molecular analysis. The composition comprises (1) a fixative that is effective to fix the phosphoproteins, and that has a sufficient water content to be soluble for a stabilizer and / or a permeability enhancing agent); (2) a stabilizer, comprising (a) a kinase inhibitor and (b) a phosphatase inhibitor and, optionally, (c) a protease (e.g., proteinase) inhibitor; and (3) a permeability enhancing agent (e.g. PEG). Methods are described for preserving phosphoproteins, using such a composition. Also described are endogenous surrogate markers for monitoring protein degradation, including the loss of posttranslational modifications (such as phosphorylation), e.g. the following removal of a cell or tissue from a subject; and exogenous molecular sentinels (e.g. phosphoproteins attached to magnetic nanoparticles) that allow one to evaluate the processing history of a cellular or tissue population sample.

The invention provides a morphology-based sebastiscus marmoratus population identification method, belongs to the field of germplasm identification, and comprises the following steps: providing a population sample of sebastiscus marmoratus; providing a living body preservation method for the Sebastiscus marmoratus sample; measuring and analyzing morphological indexes of the population samples of the sebastiscus marmoratus to obtain population information; the living body preservation method of the sebastiscus marmoratus sample comprises the step of enabling a fish body to be in contact with avitreous matrix solution embedded with at least one antioxidant active polysaccharide. The identification method provided by the invention is high in objectivity and identification accuracy, small inmeasurement value error, low in measurement difficulty and transportation difficulty, and low in loss and cost; according to the method, the living body valid period of the living body fish can be prolonged, high vitality can still be kept in the environment with the high or low transportation temperature, external mechanical pressure and damage are buffered, the fish body structure protection ishigh, the death rate of the living body fish is low, during measurement, mucus on the body surface of the fish body is rapidly removed, mucus is not continuously released, and system errors are reduced.

The invention discloses a tumor risk multiple calculation method and system based on a blood examination index, and belongs to the field of medical data processing. The system comprises a data obtaining module, which is used for obtaining a blood routine laboratory sheet picture, a blood biochemical laboratory sheet picture and a tumor marker laboratory sheet picture, identifying detection indexes, age and gender in the blood routine test sheet picture, the blood biochemical test sheet picture and the tumor marker test sheet picture, or directly importing related data from electronic data; and a tumor risk multiple calculation module, which is used for predicting the increase multiple of the tumor disease risk of the to-be-detected person relative to the average crowd risk, wherein the calculation process of the tumor risk multiple calculation module comprises the steps that classified learning samples are established for non-tumor people and tumor disease people, the learning samples are used for training a tumor disease risk model, the tumor disease risk model is used for an average population sample to calculate an average population tumor disease risk value, and the tumor risk value of the to-be-detected person is divided by the average group tumor risk value to obtain a tumor risk increasing multiple. The tumor risk multiple is predicted by using blood routine examination, blood biochemistry and tumor marker detection indexes, and a tumor risk early warning mode is innovated.

The invention discloses a method for training a neural network to control game role behaviors based on a genetic algorithm. According to the method, necessary input information is obtained from each frame in a game engine through population samples; behavior input information is obtained through a neural network; the samples and the environment are interacted to update a fitness function, after acertain time, the population samples are divided into two sample populations according to a certain proportion and multiplied in two modes respectively, progenies of the two populations are combined into one population, and the population more adapting to the environment is obtained along with ceaseless training. According to the method, the neural network is used for processing environment input;more comprehensive information can be obtained; compared with the prior art, the method is more flexible in action without behavior pattern limitation, action strategy optimization can be automatically carried out according to actions of players in the actual application process, the genetic algorithm used in the method enables the search range to be wider, the sample diversity is increased, andthe used multi-genetic strategy makes up for the defect that local optimum is likely to enter too early to a certain extent.

The invention discloses establishment of an OA marker. The establishment of the OA marker includes: first, application of an iTRAQ label and an MALDI-TOF MS / MS technology in an osteoarthritis STR / ortmodel: (1) preparation of a sample, (2) extraction of serum of an STR / ort model set and serum of a control group, (3) identification of differential protein of the serum of the STR / ort model set and differential protein of the serum of the control group according to difference; second, verification of the OA marker: (1) acquiring of a sample of a patient, (2) use of Western blot, and (3) one-by-one detection of an OA candidate marker by use of Western blot; and third, confirmation of the OA marker: (1) collection of the sample of the patient, (2) detection by use of an ELISA method, and (3) establishment of the OA marker. The marker is confirmed by population samples, value of these OA candidate markers on diagnosis of OA is evaluated, clinical dependency of the OA candidate markers is analyzed, and feasibility of the OA candidate markers in clinical application of prevention of OA, early diagnosis and the like and significance of the OA candidate markers in early warning of health ofbone joints of population are proposed.