56 results about "Statistical difference" patented technology

The invention discloses a heart rate variability feature classification method based on generalized scale wavelet entropy, and belongs to the field of electrocardiosignal processing. The method comprises the steps that after an original electrocardiosignal to be processed is preprocessed through interference and baseline drift removal, R wave positioning is performed, and an HRV sequence is obtained by calculating the interval between every two R waves; discrete wavelet transform is performed on the HRV sequence to obtain discrete wavelet coefficients, and then alpha-order generalized wavelet entropy of all layers of the wavelet coefficients is calculated by selecting appropriate alpha values as needed; scales with the statistical difference are screened out to serve as feature layers according to the obtained entropy values, and the alpha-order generalized wavelet entropy values of the feature layers are utilized to construct feature vectors to perform classification identifying on the electrocardiosignal.

The invention discloses a self-adaptive amplitude limiting method for reducing peak-to-average power ratio of an OFDM (orthogonal frequency division multiplexing) system. By researching the relationship of time domain signal variation and frequency domain signal variation in the amplitude limiting algorithm, and on the basis of probability distribution of time domain signal amplitude, the invention proposes a method of setting the amplitude limiting rate adopted in the amplitude limiting process according to the energy of statistical difference value signals exceeding a set threshold; and when the method is applied to the constraint amplitude limiting algorithm, the self-adaptive amplitude limiting of an OFDM symbol is realized, and the peak-to-average power ratio (PAPR) of the OFDM system can be effectively lowered. As indicated in theoretical analysis and simulation, and compared with the constraint amplitude limiting algorithm with fixed amplitude limiting rate, the self-adaptive amplitude limiting method has better PAPR performance.

Objective video quality evaluation is one of the important research points for QoE service in the further. The invention provides a video quality evaluation method based on no-reference natural scene statistics (NSS). Firstly, through analyzing a video sequence, corresponding statistical values of each pixel point and the adjacent point are calculated and space domain statistics characteristics of the video are thus obtained. A predication image of an n+1 frame is obtained according to a motion vector and in combination with a reference frame n, a motion residual image is obtained, and statistical distribution after DCT transformation is carried out on the residual image is observed. Values obtained in the former two steps are used for respectively calculating a mahalanobis distance between the space domain characteristics and the natural video characteristics and a mahalanobis distance between the time domain characteristics and the natural video characteristics so as to obtain statistical differences between a distorted video and the natural video, and the quality of a single-frame image is obtained when the time domain information and the space domain information are converged. Finally, a time domain aggregation strategy on the basis of visual hysteresis effects is adopted to obtain the objective quality of the final video sequence.

A system and method are provided for diagnosis of animal respiratory diseases using auscultation techniques. Animal lung sounds are recorded and stored as digitized data. Algorithms are applied to the data producing an output indicative of the health of the animal. Another method determines effectiveness of antibiotics administered to animals based upon observed relationships between lung score categories obtained from auscultation. A comparison is made between sample populations of animals that receive different classifications of antibiotics, and this data is compared to lung score categories observed for each of the animals that received the antibiotics. A statistical analysis is conducted to confirm statistical differences in case fatality rates between lung score categories. Insignificant differences in mortality rates across a range of lung score categories indicates the particular antibiotic administered is not effective, whereas a reduced fatality rate associated with lower lung scores indicates a level of antibiotic effectiveness.

The invention discloses an implementation method for identifying motion models based on cerebral-cortex hemoglobin information. A testee self-controls the starting and stopping time under four motion models; as for the change rate of cerebral-cortex hemoglobin concentration, the statistical analysis technique is adopted to analyze the statistical difference between oxyhaemoglobin and deoxyhemoglobin in various motion related areas of the cerebral cortex under different motion models, and based on the statistical characteristics, two relative motion trends of getting-up and sitting-down, as well as stair ascending and descending, are distinguished; and on this basis, the difference between oxyhaemoglobin and deoxyhemoglobin in various motion areas of the cerebral cortex is analyzed, together with the both-leg relative motion trends and the new statistical characteristics, the specific motion model is distinguished. The non-intrusive NIRS technology is adopted to record the cerebral-cortex hemoglobin concentration information of a human body without external stimulation or preliminary training, and restrictions on the test environment and the testee are less; the advantage of ideal time and space resolution is achieved; and the intelligence of walking aids is improved.

A method for obtaining enhanced seismic data and optimized inverted reflectivities includes computing statistical well characterizations based upon band-limited well reflectivities for a subsurface region. Sets of processed seismic data are computed by applying differing processing sequences to seismic data corresponding to the subsurface region. Inverted reflectivities are computed by inverting the sets of processed seismic data. Statistical seismic characterizations are computed based upon the inverted reflectivities. Statistical difference measurements (SDMs) are computed between the statistical well and seismic characterizations. An optimal processing sequence is selected based upon the computed SDMs. Enhanced seismic data is obtained by processing the seismic data corresponding to thesubsurface region. An optimal seismic inversion algorithm is obtained based upon the computed SDMs. The seismic data is inverted using the optimal seismic inversion algorithm to produce a set of optimized inverted reflectivities.

The invention provides a method for quantitatively discriminating nephrite production areas. The method includes the steps that firstly, nephrite samples of known production areas are prepared; secondly, the content of microelements of the samples is quantitatively tested, and test points are divided into a training group and a testing group; thirdly, the content of the microelements is subjected to significance level analysis to detect whether statistic differences exist between different production areas; fourthly, by means of the binary iteration linear discriminant analysis (IB-LDA) method, data of the training group are discriminated two by two, and feasibility of the method is tested through the testing group; fifthly, the production areas of the samples to be tested are predicted through the IB-LDA method. The method quantitatively discriminates the nephrite production areas on the basis of binary iteration linear discriminant analysis of the microelements, the mode that multiple traditional groups are compared at the same time is simplified into the mode that the groups are compared two by two, and the discrimination probability of each production area relative to other production area is obtained. Besides, the discrimination ability of a discrimination function is remarkably improved. Compared with the naked eye qualitative discrimination method and a traditional linear discriminant analysis method, the method has obvious advantages.

This invention identifies a process for determining the performance of radio frequency (RF) links in the Army's Enhanced Position Reporting System (EPLRS) with a high level of statistical confidence. The method includes determining a statistical difference between a mean propagation loss for an EPLRS RF link based on measured RF propagation loss and TIREM calculated RF propagation loss, establishing a margin of error based on said statistical difference to arrive at a confidence level of the RF propagation loss, determining a computed S/N based on the confidence level, for the benign and jamming case, and determining a PCOM value based on the computed S/N value.

A new method for stock selection, portfolio optimization and asset allocation using specially constructed neural networks and ranking algorithms. Each stock in a portfolio is modeled by a neural network designed to learn from the statistical differences between the stock and the target benchmark. The neural network outputs, representing each model's forward looking rate of return (FLRoR) relative to the benchmark, are then ranked in descending order. Portfolio optimization is performed by rebalancing the positions based on their FLRoR rankings subject to the portfolio constraints including regulatory requirements and risk level. The method has been implemented in computer programs.

The invention provides a traditional Chinese medicine for curing type II diabete, which is Hubei dwarf lilyturf tuber hetetopolysaccharide extracted by taking Hubei dwarf lilyturf tuber as a raw material. The traditional Chinese medicine has obvious effects of reducing blood sugar of mice with the type II diabete, obvious effects of reducing insulin resistance and the effect strength of the traditional Chinese medicine has no statistical difference from that of rosiglitazone. Compared with the rosiglitazone, the hetetopolysaccharide can better reduce blood total cholesterol and triglycercide, improve ratio of high-density lipoprotein to low-density lipoprotein, and effectively prevent and curing arteriosclerosis and thrombosis.

The invention relates to a new method for analysis of a male sperm survival rate. A semen sample is stained by a gentian violet solution at a certain concentration, a staining result is observed under a microscope, survival sperms and dead sperms are determined through colored difference, and the sperm survival rate is calculated; after a same sample is stained by an eosin Y standard staining method recommended by the WHO, the sperm survival rate is calculated; a statistical difference between the two sperm survival rates obtained by the two methods is tested by statistics, a result shows that the gentian violet normal saline solution staining method can be used for distinguishing the dead sperms and the survival sperms, almost all of the sperms are colored after being stained by the gentian violet normal saline, sperm motility is decreased, so as to help to count and carry out subsequent analysis under the microscope. The result proves that the method by using the gentian violet solution to stain the semen sample can easily distinguish the survival sperms and the dead sperms, can further analyze the sperm survival rate, can also assist in the analysis of the sperm motility, and contributes to identification and analysis of male sterility.

The invention provides a high-order aberration compensation method for corneal refractive correction. The compensation method is used for solving the problem that high-order aberration compensation methods in the prior art cannot meet requirements and comprises the steps that according to a wavefront fitting function of C7 and C8, the concave-sphere amount, astigmatism amount and the astigmatism angle after compensation of C7 and C8 are calculated; according to a wavefront fitting function of C12, the concave-sphere amount after compensation of C7, C8 and C12 is calculated; according to a wavefront fitting function of C11 and C13, the concave-sphere amount, astigmatism amount and the astigmatism angle after compensation of C7, C8, C11 and C12 are calculated. According to the method, a representation method of a Zernike polynomial and the low-order aberration diopter are converted, and the unit is unified; the comatic aberration, spherical aberration and second-order astigmatism are subjected to conversion of a qualitative and quantitative relationship, the high-order aberration for the corneal refractive correction of the human eyes is better compensated for, the compensation accuracy is improved, the better visual quality is obtained, and meanwhile the statistical difference is taken into account.

The invention provides a colorization image detection method based on color statistical differences. The method comprises steps of firstly, constructing the statistical distribution map of the training image set and the statistical distribution map of all the training images in the training image set; calculating the detection characteristic parameter based on the statistical distribution map of the training image set according to the difference maximization principle, calculating the statistical distribution map of each training image based on the detection characteristic parameter, and calculating the distribution characteristic of the statistical distribution map of each training image to construct the effective complete detection characteristics of the training images; and finally, using the complete detection characteristics of the training images and the corresponding training image tags to train the classifier to obtain an effective detection classifier. Therefore, the complete detection characteristic can be extracted for the image to be detected, so that the trained detection classifier can be used for detection.

The present disclosure provides a method of fabricating a semiconductor device. The method includes collecting a plurality of manufacturing data sets from a plurality of semiconductor processes, respectively. The method includes normalizing each of the manufacturing data sets in a manner so that statistical differences among the manufacturing data sets are reduced. The method includes establishing a database that includes the normalized manufacturing data sets. The method includes normalizing the database in a manner so that the manufacturing data sets in the normalized database are statistically compatible with a selected one of the manufacturing data sets. The method includes predicting performance of a selected one of the semiconductor processes by using the normalized database. The selected semiconductor process corresponds to the selected manufacturing data set. The method includes controlling a semiconductor processing machine in response to the predicted performance.

The invention discloses an auxiliary method for detecting transgenic plant components in foods. The method comprises the following steps: 1, separating NF-kB-luc transgenic mice into two groups, wherein the first group is fed by common fodder while the second group is fed by to-be-detected fodder which is a mixture of to-be-detected foods and common fodder; 2, after 10 weeks, taking manure of the mice and extracting total DNA; 3, taking and breaking the total DNA to obtain a DNA segment of 300-800 bp; 4, taking the DNA segment for high-throughput sequencing of 16 S rRNA; 5, based on the results, obtaining composition of intestinal flora, wherein if the relative abundance of firmicutes in the manure of the second group of mice is obviously higher than that of the first group, and statistical difference appears, the to-be-detected foods contain the transgenic plant components. The method is simple and convenient in operation, low in cost and simple in result judgment, and has very high promotion and application values.

The invention discloses a mosquito repellent of which the formula and the dosage are characterized by comprising 0.01%-10% of b1(Vb1), 0.2%-2% of essence, 60%-99% of small molecular group water and a proper amount of vinegar. The preferred scheme is characterized by comprising 0.2%-5% of Vb, 0.4%-1% of essence, 88%-98% of small molecular group water and a proper amount of vinegar. The further preferred scheme is characterized by comprising 1%-2% of Vb1, 0.6-0.8% of essence, 95%-97% of small molecular group water and vinegar of which the dosage is appropriate when the PH value of the small molecular group water is adjusted to be 3 to 4. According to a testing, in one group, the mosquito repellent is coated on 44 persons, the 44 persons are further divided into two groups each of which comprises 22 persons; in the other group, 36 persons apply the mosquito repellent on the left sides or the right sides at random, and clear water is applied on the other side to make a comparison; proved by the significant testing, the mosquito repellent has effective clinical effects, and the duration is longer and reaches 3 hours. According to the two groups of difference significance testing, P is lower than 0.05, so that significant statistical difference is proved.

The invention discloses application of tanshinone II A in preparing medicine for curing tendon adhesion, and belongs to the technical field of medicine. After a heel tendon adhesion rat model is manufactured, tanshinone II A sulfonic acid natrium local injection is carried out on heel tendon of the heel tendon adhesion rat model, and the heel tendon adhesion conditions are compared through a contrast to a blank group, and a histological observation and a statistical analysis are carried out. The result shows that in a general observation, the heel tendon adhesion of a salvia miltiorrhiza group is less than that of the blank group, and p is less than 0.05, and statistical difference exists; in the histological observation, the quantities of collagenous fiber and fibroblasts of the salvia miltiorrhiza group are increased by comparing with common heel tendon tissue; the arrangement is relatively regular; the quantities of collagenous fiber and fibroblasts of the blank group are obviously increased, and the arrangement is irregular; The Real-time PCR found that the expression of TGF(transforming growth factor)-beta 1 of the salvia miltiorrhiza group is obviously reduced relative to that of the blank group. The results show that the tanshinone II A has the function of inhibiting the generation and development of tendon adhesion, and can be used for preparing medicine for curing tendon adhesion.

The invention relates to application of indomethacin in preparation of drugs for preventing and treating cancers. Molecular formula of the indomethacin is C19H16ClNO4 and molecular weight of the indomethacin is 357.79. Significant effects of indomethacin on prevention of an esophagus cancer in a humanized transplantation tumor model (PDX) and a breast cancer in a mouse 4T1 breast cancer cell line transplanted model are verified. According to the application of the indomethacin in the preparation of the drugs for preventing and treating the cancers, the indomethacin is used for treating a humanized esophagus cancer tumor and a breast cancer cell transplantation mouse correspondingly, and when gross tumor volume of a control group is up to 1500 cubic millimeters or above, a test is finished. Test discoveries are that: compared with the control group, the gross tumor volume of the indomethacin-treated mice is significantly smaller, and a significant statistical difference is existent, indicating that the indomethacin has significant effects on preventing the esophagus cancer and the breast cancer. The esophagus cancer and the breast cancer can be prevented and treated clinically by taking the indomethacin by patients.

A T-wave alternans (TWA) measuring apparatus is configured to group electrocardiogram (ECG) waveforms in increments of a first beat, to test a statistical intergroup difference for the correponding first groups, and to determine that a heartbeat condition is unstable, when a significant statistical difference exists between the first groups. The apparatus is further configured to determine the magnitude of TWA when it is determined that the heartbeat condition is unstable. The ECG waveforms may further be grouped in increments of a second beat number to generate second groups, and to determine that the heartbeat condition is unstable when a significant statistical difference exists between the first groups but not between the second groups.

Systems and methods of measuring drug efficacy and side effects using non-invasive or husbandry-only testing are described. Steps include testing a cohort with a proposed husbandry-only protocol against an existing gold-standard treatment, and then validating the use of a created surrogate, non-invasive metric in place of an invasive metric. Then, the validated non-invasive surrogate metric and the husbandry-only protocols are used with an animal treatment cohort to study a new proposed treatment. A control cohort is also used, subject to the same husbandry-only testing and the surrogate metric. A statistical difference in outcomes, using one or more surrogate metrics, between the treatment cohort and the control cohort is the drug efficacy, for a drug used to treat the treatment cohort.

The invention discloses an implementation method of preventing and treating thrombus with black fungus. The implementation method comprises following steps: (1) soaking 500g of the black fungus in cold water; (2) crushing the black fungus through a pulverizer and extracting black fungus polysaccharide from the black fungus in a water-soluble manner or a lipid-soluble manner; (3) feeding experimental rabbits with each experimental black fungus polysaccharide component in equal amount for 2 months in an intragastric administration manner; (4) observing physical indexes of the experimental rabbits in vitro; (5) performing statistical analysis to the physical indexes of the experimental rabbits with results being all represented as (x+/-S), wherein a t-test method is employed for comparison among groups and a statistical difference exists with P<0.05. The method, by means of the black fungus polysaccharide in the black fungus, can prolong a forming time of New Zealand rabbit specific thrombus and fibrous protein thrombus, reduce in-vitro thrombus length and reduce wet weight and dry weight of the thrombus, can reduce platelet adhesiveness rate and blood viscosity, can significantly reduce a dissolving time of euglobulin, can reduce plasma fibrinogen content, can increase plasmin activity and has significant thrombus forming resistance.

The invention belongs to the fields of biomechanics and artificial motion measurement, and more specifically relates to a method for identifying camouflage acroparalysis. The method performs a statistical difference analysis on a PT value and a PTA value of the bilateral joints by performing isokinetic muscle strength measurement on the bilateral joints, combined with a torque-time graph, the situation of camouflage acroparalysis can be scientifically identified, which provides a credible scientific basis for forensic identification.

The invention relates to an application of epibetulinic acid in preventing or treating hyperlipidemia. According to the invention, epibetulinic acid which is commercially available or is prepared by the existing method, or pharmaceutical salts, aquo-complexes or anhydrides of epibetulinic acid are adopted, the epibetulinic acid is prepared into medicines, health products or functional foods, and excipients or carriers common in the pharmacy or the food field, such as diluents, disintegrating agents, and lubricating agents, are adopted. In the application, the epibetulinic acid is administered to LO2 cells, and after 24h, the contents of triglyceride and cholesterol are detected; the result shows that the epibetulinic acid has obvious effects in reducing cholesterol and triglyceride, and obvious statistical differences and good dose-effect relationship are also obtained.