97 results about "Statistical software" patented technology

The invention is a method for detecting and measuring T-cell receptor (TCR) repertoires from mammalian lymphocytes. The method is based on the use of the multiple sets of unique primers to amplify 22 regions of the TCR Vβ region and thereby detect clonal expansions related to antigen stimulation of the immune system. Kits containing sets of primers and specialized analytical statistical software for use in determining clonal expansion in humans and mice are disclosed. The reliability, efficiency and short assay time in using the method is well suited to monitoring immune response to vaccination and therapeutic treatments for immune disorders.

The invention discloses a serum specificity metabolite spectrum for a patient with a lung cancer and a building method thereof, and particularly discloses a method for carrying out liquid-phase/gas-phase chromatography mass spectrometry metabonomics analysis based on the patient suffering from the lung cancer. The method comprises the following steps: collecting fasting blood samples of a healthy and normal detected person and the patient suffering from the lung cancer 7 days before and after an operation, separating by a chromatogram column after processing; extracting and aligning original data of an instrument after adopting mass spectrometry analysis; building a mathematical model to analyze the metabolites spectrum by adopting multivariable data statistical software; comparing with the difference between an average person with the metabolites spectrum of the patient with the lung cancer, so as to determine the specificity metabolite spectrum. By adopting the method disclosed by the invention, the mutation status of the metabolite of the patient with the lung cancer can be generally and comprehensively reflected, and the serum specificity metabolite spectrum can be applied to early diagnosis of the lung cancer or a beneficial technical support is supplied for prognosis.

A mouse's space memory holding model and its intelligent behavior detection system are disclosed. A circular dark box type labyrinth is used as the behavior data acquiring unit. The mouse to be tested passes through a tubular channel with adjustable one-way gates along a pointed path and closed loop for performing the cyclic training. The signals about the active movement and passive movement caused by electric shock are acquired and processed by the data processing control unit. Said signals are transmitted via PCI bus to the Access database in control system, and then processed by the statistical software package, so controlling and monitoring the behavior of mouse at any time.

The invention relates to a cigarette smoke acidity index evaluation model establishment method based on gustation vitality values, and belongs to the technical field of cigarette evaluation. The method comprises the steps as follows: a gas chromatograph-mass spectrometer is utilized to detect the content of organic acids in mainstream cigarette smoke with an N,O- bis(trimethylsilyl)trifluoroacetamide derivatization method; according to a public reported gustation threshold, the gustation vitality values of the organic acids are calculated so as to recognize key acidity substances in the mainstream cigarette smoke; a cigarette smoke acidity index evaluation model is established on the basis of the key acidity substances in the mainstream cigarette smoke; and human sense evaluation of the cigarette smoke acidity intensity is performed by a cigarette sense technician, and statistical software is adopted to perform fitting effect analysis on the cigarette smoke acidity index and a human sense evaluation value. The cigarette smoke acidity index evaluation model and a human sense evaluation method have an ideal fitting effect, the cigarette smoke acidity intensity is objectively evaluated, and the method can be used for development of the cigarette product flavor technology.

The invention relates to a method for building a cigarette bitter taste index evaluation model based on a taste activity value. The method for building the model comprises the steps of 1) selecting a representative substance of which the alkaloids are the cigarette bitter taste and performing quantitative analysis by gas chromatography-mass spectrometry to obtain a free alkaloid detection result, 2) measuring the bitter taste threshold of each alkaloid in water medium by 3-AFC, calculating the alkaloid taste activity value (TAV) and identifying cigarette key bitter taste substances, 3) building the cigarette bitter taste index evaluation model based on the cigarette key bitter taste substances, and 4) performing fitting effect and model verification analysis on the cigarette bitter taste index and a human body sensory evaluation score by use of Origin 8.5 statistical software. A relatively ideal fitting effect of the built cigarette bitter taste index evaluation model and the human body sensory evaluation is achieved, objective evaluation on the cigarette bitter taste intensity is realized, and technical support can be provided for cigarette bitter taste mechanism revealing, bitter inhibitor development and cigarette bitter taste evaluation.

A mouse's path training model and its intelligent behavior detection system are disclosed. A circular dark box type labyrinth is used as the behavior data acquiring unit. The mouse to be tested passes through a tubular channel with adjustable one-way gates along a pointed path and closed loop for performing the cyclic training. The signals about the active movement and passive movement caused by electric shock are acquired and processed by the data processing control unit. Said signals are transmitted via PCI bus to the Access database in control system, and then processed by the statistical software package, so controlling and monitoring the behavior of mouse at any time.

The invention provides a subway station clustering and regression analysis method and system based on POI data and passenger flow data. The method includes: collecting the quantity of POI with different functions around the subway station through the statistical software of GIS, counting the daily average passenger flow in and out of the subway station based on AFC card swiping data, and generating the data set to be processed. Based on the different POI quantity around the subway station, classifying the service intensity grade of subway station by a clustering method; taking the daily average passenger flow as dependent variable and the POI quantity as independent variable, through regression analysis, seeking the influence relationship between the POI types and quantity around the subway station and the passenger flow of the subway station. The method and the system provided by the invention adopt POI data and AFC card swiping data, combine the dynamic data and the static data, candirectly and effectively measure the scale of a subway station, and comprehensively analyze the functional positioning and service level of different subway stations. According to the different typesof subway stations, the invention puts forward some suggestions to deal with different passenger flow characteristics.

An intelligent roadside information terminal for flexible detection and display of highway traffic events includes an intelligent information display platform, a road or/and lane-level traffic information collector, a mobile unmanned video detector and a mobile unmanned detector receiving station. The intelligent information display platform includes a control system and a display unit, namely a smart LED display screen. The road or/and lane-level traffic information collector includes a microwave transceiver or a video capture transmitter, a traffic data analysis statistical software module and a communication interface. The mobile unmanned video detector includes an unmanned mobile platform and a video monitoring head; and the mobile unmanned detector receiving station comprises an unmanned detector receiving platform and an unmanned detector charging device. The intelligent roadside information terminal can independently detect and confirm surrounding traffic event information according to traffic flow changes, and the traffic event detection flexibility and accuracy are improved.

Disclosed are systems and methods of building a default set of parameters into a software application by defining a widget template having associated parameter schema and then instantiating a widget by substituting a new set of application parameters for the built-in defaults such that the new parameters meet the same constraints defined for the default parameters. Aspects of the invention also include testing the original application containing the default parameters, along with the parameter substitution process itself, using a Statistical Software Testing Methodology (SSTM) to ensure the application meets a pre-determined level of quality.

A multi-information collection and release integrated intelligent roadside information terminal for an expressway includes an intelligent information display platform, a lane-level multi-target traffic detector, a weather detector and an LED information display screen. The intelligent information display platform includes a control system and a display unit, i.e. an intelligent LED display screen.The lane-level multi-target traffic detector includes a microwave transceiver or a video acquisition transmitter, a traffic data analysis statistical software module and a communication interface. The intelligent information display platform reserves a video monitoring installation point, and is provided with power supply, data transmission and control signal channels. The control end of the control system of the intelligent information display platform is connected with the controlled ends of the LED display screen, the lane-level multi-target traffic detector and the weather detector to achieve centralized on-site control. The control system of the intelligent information display platform is connected with the communication interface of the lane-level multi-target traffic detector and the weather detector to achieve data exchange with the lane-level multi-target traffic detector and the weather detector. The traffic control data collection construction cost and device maintenance cost of the expressway are saved.

A statistical software package for manufacturing and business applications is disclosed. The software package comprises an improved user interface that supports data collection, entry, and analysis features for manufacturing and business applications. Data entry is simplified by prompting the user for no more data than is needed to perform calculations and analysis. The software completes complex data analysis, interprets the data in the background, and reports simple analysis results to the user about the data that has been entered. The software supports user conducted tests but decides which test or tests are appropriate test and which results are relevant for the user. In an example embodiment, the software package is implemented as a web-based application with a central database accessible through a web service to provide support to the user. In an example embodiment, the application provides data collection, data entry, analysis, interpretation, graphing, and reporting functionality.

The present invention discloses an automatic fire alarming monitoring management system, consisting of a network monitor, an intelligent alarm receiving card and monitoring management software. The network monitor consists of an automatic fire alarming system for field acquisition network users, a mainboard, a communication board and a power panel and can transform information into telephone network signals and transmit the signals to a monitoring center in real time through a public telephone network. The system is characterized in that: the mainboard consists of a mainboard CPU, a program storage chip, a clock chip, a serial port chip, a watchdog chip, a black box, a memory chip, a gate, a driver and an address latch; the communication board consists of a communication board CPU, a watchdog, a dial-up chip, a decoding chip, an address latch and a door; the power panel consists of a comparator, a voltage converter chip and a voltage stabilizing core; the intelligent alarm receiving card is a 16-line high density analog speech interface card which can be configured flexibly; the arrangement of the intelligent alarm receiving card adopts a mainboard PCI slot and utilizes the transmission mode of a telephone network (PSTN); the monitoring management software comprises alarm receiving software, remote maintenance software, fault processing software, patrol software, GIS geographic information database system software, 119 fire alarm information confirmation display terminal interface software and query statistical software; the system improves automatic early warning capability of a fire command center, reduces the loss caused by delayed alarm, is stable and normal in operation and effective in exerting early warning function, avoids the occurrence of serious fire accidents, and early discovers fire hazard at the same time.

An intelligent roadside terminal ad-hoc network information negotiation issuing system suitable for an expressway includes a roadside intelligent traffic information terminal distributed on the side of the expressway. The roadside intelligent traffic information terminal comprises an intelligent information display platform, a lane-level multi-target traffic detector and a weather detection unit.The intelligent information display platform includes an intelligent control unit, a display unit, a power supply unit and a networking communication unit. The lane-level multi-target traffic detectorincludes a microwave transceiver, a traffic data analysis and statistical software module, a communication interface, a weather detection unit and a communication interface. The intelligent control unit is in physical connection with the display unit, the networking communication unit, a vehicle traffic detector or/and the lane-level multi-target traffic detector, the traffic data analysis and statistical software module and the weather detection unit. The power supply unit supplies power to all other units. A platform is arranged to bear the intelligent control unit, the display unit, the lane-level multi-target traffic detector and the weather detector in an integrated mode.

The invention discloses a single stem plant digitalized construction method based on a growth model and relates to the technical field of agricultural information. The method comprises the following steps of (1) preprocessing experiment observation data and establishing the growth model of a single stem plant through statistic package for social science (SPSS) statistical software; (2) establishing an assimilation reallocation model based on a plant structure; (3) reconstructing plant morphologic change and establishing a single stem plant digitalized model; and (4) achieving digitization of a single stem plant. A plant growth model is obtained through experiments, a plant digitalization model capable of reflecting plant growth mechanism accurately is established and computer simulation of the plant growth process is achieved due to the model so that plant growth and development in different external environments can be forecasted due to a plant digitalization result.

According to the invention, the change of the level of 3',5'-cyclic adenosine monophosphate (cAMP) is taken as a detection index and a cAMP-depending type protein kinase A active analysis method is used for determining the biological activity of liraglutide. Rat insulinoma cells RIN-m5F are cultivated and a diluted liraglutide comparison product solution and a diluted test solution are added; a kit is used for detecting the change of the level of the cAMP in stimulated cells; a super-sensitive chemiluminiscence detection module of a multifunctional enzyme linked immunosorbent assay is used for reading a relative chemiluminiscence unit (RLU) and statistical software is used for fitting experimental data; the biological activity of a product to be detected is calculated by a formula. The method can be used for simply, conveniently, rapidly and accurately detecting the change of the biological activity of the liraglutide; the accuracy and the repeatability accord with the requirements of a biological activity determination method of biological products.

The present invention discloses a muscat production place identifying method, which comprises: (1) collecting grape samples from muscat main production area production places such as Tianjin Chadian, Hebei Changli and Shandong Dazeshan; (2) homogenizing the grape sample, and carrying out digestion to achieve a clear state; (3) detecting the concentrations of K, Na, Ca Fe, Mn and Cu in the digestion solution, wherein the concentrations are sequentially marked as XK, XNa, XCa, XFe, XMn and XCu, and the unit is mg/kg; (4) carrying out statistical analysis on the detected data by using a SPSS statistical software, and establishing discriminant models (1)-(3); and (5) substituting the detected data of the six grape sample elements into the discriminant models (1)-(3) so as to obtain the YChadian, the YChangli and the YDazeshan, wherein the muscat production place is the production area having the maximum value in the YChadian, the YChangli and the YDazeshan. According to the present invention, the discriminant models are established through the six elements, the types of the elements are less, the elements are the conventional elements, the method is simple, the detection cost is reduced, and the determining correct rate is more than or equal to 90%.

The invention discloses a method for identifying the origin of atractylodes based on stable isotope ratios and particularly relates to the origin identification field. The method comprises steps thatS01, multiple atractylodes samples of different real origins are selected; S02, a stable isotope ratio A of each of the atractylodes samples is measured, a stable isotope ratio database of the atractylodes samples from the real origins is constructed; S03, according to the stable isotope ratio database of the atractylodes samples from the real origins, the statistical software is utilized to perform orthogonal partial least squares identification analysis, and a traceability model for the origin is established; S04, an to-be-tested atractylodes sample of the unknown real origin is selected, and a stable isotope ratio B of the atractylodes sample from the unknown origin is determined; and S05, the stable isotope ratio B obtained above is inputted as an input value to the origin traceabilitymodel, and the corresponding origin discrimination result is obtained and outputted. The method has advantages of high identification accuracy, small quantity of detection indexes, simple sample pre-processing and small amount of samples.

The invention discloses a convenient and simple remote-sensing soil moisture monitoring method which comprises the following steps: firstly determining required data and an experiment area; extracting seventh band reflectivity data corresponding to each experiment point in a research area, choosing measured data, identical with the transit time of satellite data, from surface observation data, utilizing statistical software to perform regression analysis on the satellite seventh band reflectivity data and measured surface soil moisture data to obtain an optimal regression model, performing significance test on a regression equation, and determining a model equation for inverting soil moisture. By means of utilizing a single band to calculate the soil moisture content, the method has the characteristics of smaller calculated amount and fewer required early-stage processing procedures, guarantees the accuracy of monitoring results based on greatly simplifying data collection and preprocessing in the early stage, and is suitable for calculating the soil moisture content in a large scale.

The invention relates to a quality control method of pharmaceutical preparations, and particularly relates to a novel quality control method of a Shuxuetong injection. The invention provides statistical software of high performance liquid chromatography (HPLC) separation and mass spectrum (MS) detection combined with principal component analysis (PCA), and establishes a model combining LC-MS-PCA analysis, detection and statistics of the Shuxuetong injection. The quality of the Shuxuetong injection is controlled by using the model.

The invention discloses a crop grain character measuring method. According to the method, the length, the width, the grain number and the thousand grain weight of crop grains can be rapidly measured and calculated in batches. The method comprises the following steps that 1, assembling a computer, a usb camera, a light-emitting table and a non-transparent box body to construct a crop grain measuring platform; 2, weighing a sample, and spreading and paving the sample on a light-emitting table; 3, writing a program, and sequentially completing data file establishment, blank image acquisition, length calibration, grain image acquisition, sample name and weight entry, image processing and segmentation, connected domain judgment and error correction, measurement data output and the like; automatically completing image analysis and data output after the name and weight of the sample are input by a program, whereinonly a few seconds are needed; measurement results are directly output in a format recognized by office and statistical software and used for further arrangement and statistics. The method has the advantages of being low in cost, easy to operate, rapid, accurate, high in practicability and extremely easy to maintain.

The invention discloses a molecular marker closely related to rape humidity resistance, a preparation method and application thereof. The preparation method comprises the following steps: (1) taking Zhongshuang No.9 and GH01 greatly different in humidity resistance as parents and obtaining an F2 colony through hybridization and bagging selfing in turn; (2) using a CTAB method to extract DNA of the parents and single-plant leaves of the F2 colony and adopting primers to perform PCR amplification and electrophoresis detection to obtain molecular-marker data; (3) using a seedling-stage anaerobic method to determine the index of seedling-stage humidity resistance of F2 single-plant seeds; and (4) performing association analysis on the molecular-marker data and the humidity-resistance index of the colony by using a multiple linear regression module in statistical software, namely SPSS software, and screening according to standards of a regression significance P of less than 0.05 and a contribution rate of more than 10 percent to obtain the molecular marker BnGMS130-350. The method is easy to implement and simple to operate, solves the problems that conventional breeding methods are high in workload of identifying moisture damage, long in cycle, susceptible to environment, and the like, and effectively speed up the steps of the genetic improvement on rape humidity resistance.

The invention discloses an intelligent handset App page detention time statistical software method and system. The method comprises the steps of: first, inquiring the permission of obtaining root from a handset user; second, obtaining the root privilege of a handset, and starting running a statistical program; third, carrying out the statistics on the user detention time on a first interface, and user time on other interfaces, and sending statistical results to a server; and fourth, returning the statistical data of a previous day to a development team at zero clock of each day. The system comprises a handset operating system, an APP, a recording statistical module, a storage module, a network connection module and a server. According to the invention, intelligent handset App page detention time statistical software is installed in an intelligent handset to help an intelligent handset App development team to obtain user use feedback to a certain page, thereby enhancing interfaces liked by subscribers, and weakening or deleting interfaces which are used less or not used by subscribers.

The invention belongs to the technical field of medicine and discloses an aortic dissection detecting marker and a marker evaluation method. The aortic dissection detecting marker is MMP-9+D-Dimer+ET-1+Calponi. The evaluation method comprises the following steps: performing serological analysis on the selected marker MMP-9+D-Dimer+ET-1+Calponi with ELISA; drawing a ROC (receiver operating characteristic) curve and adopting statistical software SPSS21.0 for analysis. Specificity of three indexes including ET-1, D-Dimer and MMP-9 are higher and are 98.6%, 98.7% and 97.1% respectively, sensitivity of the three indexes are 80.0%, 81.7% and 81.7%, and diagnostic accuracy of the three indexes are also higher and are 86.4%, 87.5% and 87.5%.