84 results about "Normal population" patented technology

A method of diagnosing cancer by identifying differential modulation of each gene (relative to the expression of the same genes in a normal population) in a combination of genes selected from two groups of genes.

Gene expression portfolios and kits for employing the method are further aspects of the invention.

Methods and devices are provided for evaluating among the limbs of a subject the distribution of impairments of the subject's ability to coordinate the muscular contractions to execute effective postural movements. The subject may be placed on two independently movable support surfaces, either of which may be fixed or sway-referenced. The subject's ability to maintain his or her equilibrium position is then monitored. In another embodiment, the subject is perturbed from a position of equilibrium. The perturbation may be caused by a displacement of the support surfaces, or by having the subject grasp a handle, which may be moved, or against which the subject may push or pull. The latency and strength of the responses of the subject's limbs are measured and compared to each other and to a normal population.

The invention discloses a selenium-enriched trace element beverage and a preparation method thereof. The trace element beverage includes liquid tea beverage, coffee beverage, fruit juice beverage, soybean milk beverage, beer and drinking water added with selenium, and also includes solid tea products, Coffee products, fruit juice products, bean products, dairy products and other granulated beverages can maintain the original flavor and taste of the beverage, and at the same time have the unique anti-cancer and detoxification, anti-oxidation, anti-aging, prevention and treatment of Keshan disease, high blood pressure, Coronary heart disease, diabetes, enhance immunity, improve sperm motility, enhance liver activity, maintain heart function, remove heavy metal toxicity, accelerate detoxification and other health effects of trace element drinks. The beverage is not only suitable for daily selenium supplementation of normal people, but also suitable for intensive selenium supplementation of selenium-deficient people.

The invention discloses an aeroengine residual life prediction method based on multi-stage Wiener process consistency check. In the method, a statistical smoothing method smoothes engine performance monitoring data before and after maintenance. A heuristic segmentation algorithm performs performance degradation multi-stage partitioning; according to the multi-stage and randomness of engine performance degradation process, a performance degradation model is established by using multi-stage Wiener process. The consistency of the mean values of engine performance monitoring data before and aftermaintenance is checked by using the normal population mean consistency check method based on multi-stage Wiener process. According to the consistency test results of the degradation data before and after maintenance, it is decided whether the residual life prediction of the engine after maintenance fuses the monitoring data of the engine before maintenance, and the parameters of the multi-stage Wiener process are estimated by the monitoring data, and the residual life of the engine after maintenance is predicted. The method of the invention improves the accuracy of the model parameter estimation and the engine life prediction result, and has high practical value.

The invention discloses a degradation model consistency testing method catering to space shapes and error ranges. The method includes the following steps that firstly, a product degradation model is selected; secondly, test data are analyzed and processed, wherein the test data are m data series {y[i](t), t=1,2,...,N, i=1,2,...,m} of performance parameters and time of m products under a constant-stress level; thirdly, a simulation test data series of the product degradation model is acquired under the stress level in the form of {x(t), t=1,2,...,N} according to the stress level of the test data and the degradation model; fourthly, error range consistency testing is carried out based on normal populations; fifthly, space shape similarity consistence testing is carried out based on grey correlation; sixthly, whether a degradation model caters to error range consistency testing based on the normal populations and space shape similarity consistency testing based on grey correlation or not is judged, if yes, the degradation model passes consistency testing, and otherwise the degradation model does not pass consistency testing. The degradation model consistency testing method overcomes the defect that only model error ranges are considered in existing methods and is easy and convenient to implement and wide in application range.

Embodiments of the invention relate generally to methods of characterizing kidney function. In particular, several embodiments quantify kidney-associated marker RNA isolated from vesicles contained in patient urine samples. In some embodiments, the quantified RNA from urine vesicles is compared to a normal population and in some embodiments is compared to the patient to evaluate kidney function over time

Data surveillance techniques are presented for the detection of security issues, especially of the kind where privileged data may be stolen by steganographic, data manipulation or any form of exfiltration attempts. Such attempts may be made by rogue users or admins from the inside of a network, or from outside hackers who are able to intrude into the network and impersonate themselves as legitimate users. The system and methods use a triangulation process whereby analytical results pertaining to data protocol, user-behavior and packet content are combined to establish a baseline for the data. Subsequent incoming data is then scored and compared against the baseline to detect any security anomalies. A centroid representing the normal population of the data packets is identified. The design allows establishing the context of various events of interest in the organization, thus enabling dynamic management of security policies.

The invention provides a network evaluation system or a network evaluation method for healthy life management of type II diabetes, which can be used for analyzing and identifying life styles and health conditions of type II diabetics and a hazard rate of normal population suffering from the type II diabetes and can store data of a testee for vertical comparison. The network evaluation system or the network evaluation method for healthy life management of the type II diabetes can be applied to a personal computer, a network server, a monitor and the like. By the network evaluation system or the network evaluation method for healthy life management of the type II diabetes, two modes or types can be determined by judging whether the testee is a type II diabetic. After the network evaluation system or the network evaluation method receives information provided by the testee, the hazard rate of the type II diabetes or health conditions and advice and guidance for rehabilitation of diabetics are provided for the testee.

The invention has disclosed a method for diagnosis of lens illnesses such as cataract. This method comprises the steps of detecting the HSF4 gene, transcript and/or protein in the subject and comparing it with the normal HSF4 gene, transcript and/or protein to determine whether there is any variation, wherein the variation indicates that the possibility of suffering lens illnesses, such as cataract, in the subject is higher than that in the normal population. The present invention also discloses the method and pharmaceutical composition for treating cataract and other lens illnesses.

The invention discloses a small sample data model verification method based on statistical analysis, relating to a small sample data model verification method. The invention aims to solve the problemsthat the scope of a conventional Bootstrap method for reproducing samples is limited to an original sample range, especially in the case of a small sample size, the distribution of the reproduced samples may deviate from the real distribution, the estimation results may be inaccurate, and certain risks exist. The method includes the following processes: step I, performing a normality test on a reference sample and a simulation sample, and if obeying the normal distribution, performing step II; and step II, when n is greater than or equal to 30, adopting a U test method; when n is greater than10 and less than 30, adopting a t or F test method; when n is greater than 3 and less than or equal to 10, adopting a formula 1 and a formula 2 (as shown in the original specification) to separatelyperform a single normal population parameter test on the simulation sample in the step I; determining whether the obtained mean value and variance of the reference sample and the simulation sample areconsistent; and when n is less than 3, not performing model verification. The scheme of the invention is applied to the field of simulation model verification.

The invention discloses a nutritional strengthening wheat germ low calorie meal-instead food, which takes water-soluble wheat germ as matrix, and strengthens nutrients as protein, vitamin, minerals and l-carnitine and the like, and has the characteristic of low calorie and special functions of controlling the velocity of energy metabolism in bodies and providing satiety and the like, and is capable of instead of dinners. The invention reduces energy intake, simultaneously, guarantees the health of human bodies, and promoting the transformation of retention fat in the human bodies. Through eating tests of healthy volunteers whose ages are 21-24 years and body mass index is 20.4-25.4, after eating the meal-instead food, the average time of producing hunger feeling is 3.5-3.8 hours, and the time is accord with normal interval of the time of dining of normal population.

The invention belongs to the field of beverage food, relating to a WangLoKAT sugar-free herbal tea plant beverage with low calorie. The plant beverage comprises the following components by weight percent: 10 to 20 percent of WangLoKAT herbal extract, 0 to 0.025 percent of sucralose, 0 to 0.03 percent of acesulfame, 0 to 10 percent of maltitol, 0 to 10 percent of erythritol and the balance of water. In the invention, maltitol and/or erythritol or sucralose and/or acesulfame are used as sweet agent which is compounded with WangLoKAT herbal extract to prepare the WangLoKAT sugar-free herbal tea plant beverage with low calorie. The product has the functions of anger prevention because of the WangLoKAT herbal extract, and can prevent diseases such as hypertension, diabetes mellitus, adiposis, dental caries, and the like. The invention is the WangLoKAT sugar-free herbal tea plant beverage with low calorie particularly suitable for normal population, patients such as diabetes mellitus patients, and the like, and special sugar avoiding crowd.

The present invention provides a female private nursing gel composition, which comprises the following components in parts by weight: 0.3 to 0.8 parts of a fermentation product of Bacillus, 0.2 to 0.8parts of a grapefruit extract, 0.5 to 0.8 parts of a eucalyptus globulus leaf extract, 0.8 to 2 parts of inulin, 0.2 to 0.5 parts of alpha-glucan oligosaccharide, 0.6 to 2 parts of hydroxyethyl cellulose, 0.1 to 0.5 parts of lactic acid, and 0.1 to 0.5 parts of sodium lactate. The bactericidal composition used in the invention has natural source and no stimulation, can selectively identify beneficial bacteria and harmful bacteria, and can ensure the normal growth of beneficial bacteria. The female private nursing gel adds an active substance capable of promoting the growth of lactobacillus, and further inhibits the growth of harmful bacteria, and the efficacy of a formula not only stays on antibiosis and bacteriostasis, the product can help reconstruct the vaginal micro-ecological system,and reduces the chance of recurrence of inflammation, and the used for normal population cannot bring adverse effects, which can prevent the occurrence of gynecological inflammation.

The invention provides a normal-distribution-statistics-based bus power balance analysis method. The method comprises the following steps: obtaining real-time telemetering data and real-time remote signaling data and carrying out a topological analysis of a power grid; calculating a bus power unbalance amount under a single time section; carrying out mathematical statistics on bus power unbalance amounts under multiple time sections; and evaluating a balance of a bus power according to an estimation value of a population mean and an estimation value of population standard deviation. According to the invention, in order to overcome a defect of bus power unbalance judgment under a single time section, the unbalance amount of the bus power is used as the random variable meeting the normal population distribution, the mathematical statistics analysis is carried out on the bus power unbalance amount of the calculated bus, and the balance of the bus power is evaluated from the perspective of the population mean and the population standard deviation by using the random-variable-based mathematical statistics theory, thereby reflecting problems of data measurement and thus improving accuracy and practicability of the bus power balance examination.

Our invention disclosures a biodosimeter and method of measurements a dose of radiation and/or biological-chemical substances absorbed by human or animal body, microbes, plants. The invention describes a multiparametric analysis system to evaluate biochemical and physical patterns related to a range of doses of radiation and/or biological-chemical substances following exposure of human body by radiation and/or biological-chemical substances. In our invention we also propose to use a method of plasmon enhancement by which intrinsic biomolecular targets within human body may increase their fluorescence QY close to unity, especially for the variety of biochemicals. The disclosed robust biodosimeter provides fast-response field applications to normal populations exposed to radiation and/or biological-chemical substances release, and to first-responders evaluating those normal populations.

The invention discloses a nonlinear gait dynamics discrimination method for Parkinson gait risk assessment. The method proposes a multi-dimensional feature discriminant diagram based on nonlinear dynamic characteristics for gait risk assessment of Parkinson patients, and in combination with a support vector machine, a non-linear dynamics feature and a graphical display method, makes 5-dimensionalnon-linear dynamic features graphically represented in a two-dimensional plane. The method is applicable to gait risk assessment in Parkinson patients. In a normal population, if multiple indicators of the nonlinear gait dynamics discriminant diagram exceed the cut-off point of the discriminant diagram, it indicates that the probability of having the disease or the severity of the disease is greatly increased, and it is necessary to cause individual's own close concern and further examination by doctors.

The present invention relates to a biomarker for diagnosis of overactive bladder (OAB) disease, and a method for screening a drug using the biomarker. The markers described in the present invention can effectively detect or diagnose the onset of OAB by distinguishing them from normal populations. In particular, OAB-specific protein markers released into urine enable simple and rapid OAB diagnosis in a non-invasive manner. In addition, by selecting an agent that changes, particularly normalizes the expression and activity of the markers selected in the present invention, more effective preventative or therapeutic agents of OAB disease can be screened.

A method for diagnosing a urinary tract abnormality in an individual is provided by measuring the individual's bladder capacity and voiding frequency, adjusting bladder capacity and voiding frequency measurements obtained from a normal population, and comparing the individual's measurements with the adjusted measurements from the normal population. This method removes the influence of total volume voided on these measurements and reduces the range, or variability, of these measurements from the normal population, therefore, improves the diagnostic and clinical utility of these measurements.

The invention discloses a campus monitoring system. The campus monitoring system comprises a shooting module which is arranged at a campus gate and is used for acquiring real-time images of people passing by the campus gate, and a server, wherein a normal staff database, an attendance record module, an abnormity record module and an abnormal population database are established in the server, pre-stored images of workers and students of a campus are stored in the normal population database, the server is in communication connection with the shooting module, the real-time images and the pre-stored images are compared, if a matched pre-stored image is retrieved, a first attendance record is generated in the attendance record module, pre-stored images of non-campus workers and non-campus students are stored in the abnormal population database, if a pre-stored image in matching with a real-time image can not be retrieved from the normal population database, and the pre-stored image in matching with the real-time image is retrieved from the abnormal population database, an abnormal record is generated by the abnormity record module. The campus monitoring system can identify dangerous persons, and thereby campus safety is improved.

Data surveillance techniques are presented for the detection of security issues, especially of the kind where privileged data may be stolen by steganographic, data manipulation or any form of exfiltration attempts. Such attempts may be made by rogue users or admins from the inside of a network, or from outside hackers who are able to intrude into the network and impersonate themselves as legitimate users. The system and methods use a triangulation process whereby analytical results pertaining to data protocol, user-behavior and packet content are combined to establish a baseline for the data. Subsequent incoming data is then scored and compared against the baseline to detect any security anomalies. A centroid representing the normal population of the data packets is identified. The movement or drift of the centroid in response to various events is measured and analyzed. This allows the system to evolve its baseline over time thereby preventing issuing false positives for such events.