287 results about "Growth curve" patented technology

A method for determining an unknown starting quantity of a target nucleic acid sequence in a test sample comprises amplifying the unknown starting quantity of the target nucleic acid sequence in the test sample and known starting quantities of a calibration nucleic acid sequence in respective calibration samples; and determining a respective threshold value for each of the nucleic acid sequences using a derivative of a growth curve derived for the sequence. The starting quantity of the target nucleic acid sequence in the test sample is determined using the threshold value determined for the target sequence and a calibration curve derived from the threshold values determined for the known starting quantities of the calibration nucleic acid sequences.

Machine executable method of analyzing growth curve data to identify the transition from a baseline phase into a growth phase. Applications of the method include analysis of results from time-dependent monitoring of amplicon synthesis in a nucleic acid amplification reaction to quantify a starting amount of a nucleic acid template in a test sample. The method advantageously simplifies the quantitation by circumventing the need to establish thresholds used for calculating initiation of the growth phase, to calculate derivatives, or to perform linear regression analysis.

Systems and methods for identifying and removing spikes in data sets representing PCR growth curves or other sigmoid type curves or growth curves. A double sigmoid function with parameters determined using a Levenberg-Marquardt regression algorithm is used to find an approximation to the curve, and a statistical test such as a z-test is then used to identify spikes by identifying data points in the data set that do not fit well with the approximation. The identified spike(s) are removed from the data set and / or replaced with interpolated data points determined by using data points surrounding the identified spike(s). In one aspect, a spline interpolation process such as a cubic spline interpolation process is used to find an approximation to the data set with the identified spike points removed. Interpolated values to replace the spike points are then calculated using the cubic spline interpolation approximation curve.

The experiment platform includes experimental solid model of underground in 1:5 large scale, fire source system, ventilation and smoke extraction system, fire detection alarm system, experimental measurement and collection system, and data analytic system. Structure of multistory building of the solid model includes interzone tunnels, platforms, station halls and facility rooms etc. Modularized design is adopted. Fire source system can simulate different scenes of fire, and generate hot smoke gas of fire nigh true. Power and fuming quantity of the fire source system is determined based on theoretical analysis from model similitude. The experiment platform can generate growth curve of different power of fire. The experiment platform is in use for carrying out experimental studies: happening and growing mechanism of fire, and poison gas outspread inside stations of underground as well as control technique. The invention is applicable to different structures of station.

Systems and methods for determining whether the data for a growth curve represents or exhibits valid or significant growth. A data set representing a sigmoid or growth-type curve, such as a PCR curve, is processed to determine whether the data exhibits significant or valid growth. A first or a second degree polynomial curve that fits the data is determined, and a statistical significance value for the curve fit is determined. If the significance value exceeds a significance threshold, the data is considered to not represent significant or valid growth. If the data does not represent significant or valid growth, the data set may be discarded. If the significance value does not exceed the significance threshold, the data is considered to represent significant or valid growth. If the data set is determined to represent valid growth, the data is further processed to determine a transition value in the sigmoid or growth curve, such as the end of the baseline region or the elbow value or Ct value of a PCR amplification curve.

Machine executable method of analyzing growth curve data to identify the transition from a baseline phase into a growth phase. Applications of the method include analysis of results from time-dependent monitoring of amplicon synthesis in a nucleic acid amplification reaction to quantify a starting amount of a nucleic acid template in a test sample. The method advantageously simplifies the quantitation by circumventing the need to establish thresholds used for calculating initiation of the growth phase, to calculate derivatives, or to perform linear regression analysis.

There are provided a fatigue crack growth curve estimation method, an estimation program, and an estimation device capable of strictly estimating the detail of the metal fatigue end and the crack growth detail. The fatigue crack growth curve estimation device (1) uses a first calculation means (11), second calculation means (12), third calculation means (13), fourth calculation means (14), and fifth calculation means (15) to strictly estimate the detail of growth of a crack generated and growing in a first grain while omitting a calculation on the load pair not contributing to growth of the crack.

The method includes several steps including obtaining a bacterial sample; identifying the type of bacteria in the bacterial sample; selecting a set of antibiotics based on the identity of the bacteria in the bacterial sample; obtaining a control sample from the bacterial sample; placing the bacterial sample in solutions containing the set of antibiotics; determining concentration of bacteria in the respective antibiotic solutions; determining growth curves for the respective antibiotic solutions based on the determined bacterial concentration; and comparing the growth curves for the respective antibiotic solutions with a growth curve determined from the control sample. An identification and quantification system may be used to select the set of antibiotics, and further may be used in the steps of determining concentration of bacteria in the respective antibiotic solutions and determining growth curves for the respective antibiotic solutions based on the determined bacterial concentration.

There are provided a fatigue crack growth curve estimation method, an estimation program, and an estimation device capable of strictly estimating the detail of the metal fatigue end and the crack growth detail. The fatigue crack growth curve estimation device (1) uses a first calculation means (11), second calculation means (12), third calculation means (13), fourth calculation means (14), and fifth calculation means (15) to strictly estimate the detail of growth of a crack generated and growing in a first grain while omitting a calculation on the load pair not contributing to growth of the crack.

The invention provides a hyperspectrum-based method for creating a growth curve of rot funguses in a fruit, and belongs to nondestructive technology of food quality safety quick detection and monitoring. Hyperspectral images of the funguses at different growth stages can be acquired respectively through a hyperspectral imager, so as to analyze difference between images of different types of funguses at different stages and a spectrum, extracting corresponding images and corresponding spectrum characteristic parameters, and respectively creating the growth models of three types of funguses. Compared with the fungus growth conditions obtained through the conventional microbe growth detection manner, the related coefficient ranges from 0.88 to 0.96. The method provides a new concept and a new technology for growth detection of microbes in the foods, can be used for creating a fungus growth curve more conveniently and faster, and can be used for detecting, monitoring and controlling fruit rot fungus diseases.

The invention discloses a video monitoring device for polysilicon growth. The device comprises a vidicon, a video processor and a display, wherein, the vidicon is arranged on the periphery of a polysilicon reducing furnace, and a camera shot of the vidicon coresponds to a view window of the reducing furnace and is used for taking silicon chip images; the video processor is used for processing the silicon chip images and calculating the diameter of the silicon chip; and the display is used for displaying the silicon chip images, the calculated value of the diameter of the silicon chip and various data. The video processor is provided with a video frequency collection module used for collecting image data from the vidicon, a storage module used for storing the collected data, a mathematical model for the diameter calculation of the silicon chip and output data, and a central processing unit used for calculating the diameter of the silicon chip according to the image data and the mathematical model for the diameter calculation of the silicon chip. The device can continuously and accurately measure the real time data of the diameter of the silicon chip to form a diameter-time growth curve, and then further establishes the mathematical model that the addition volume of virgin gas and the heating voltage increase along with the diameter of the silicon chip according to temperature test data, thereby realizing the autocontrol of polysilicon production.

The invention discloses a height prediction method and system; the method comprises the following steps: A, obtaining juvenile basic data in an assigned age range and current height data, wherein thebasic data comprises yet not limited by the following items: sex, age, regions, body weight, diet habits, sleep habits, exercise habits and parent heights; B, selecting features of the obtained basicdata so as to extract key feature data remarkably affecting height; C, clustering and grouping the extracted key feature data and corresponding height data, and building a juvenile growth curve modelin different age ranges of different sexes in each group; D, selecting the growth curve model of the corresponding sex and age range in the corresponding group according to the feature data of a to-be-predicted height juvenile, and inputting the feature data into the selected model so as to obtain the juvenile height predicted value. The method and system can evaluate and parse the juvenile growthconditions in real time, can research and analyze the juvenile nutrition health status, and can make customized recommends for children diet life habits.

The invention relates to a depth image-based broiler growth model fitting method and apparatus. The method comprises the steps of obtaining a depth image of a broiler sample; segmenting a broiler in the depth image based on a preset image segmentation method; performing one-dimensional feature parameter, two-dimensional feature parameter and three-dimensional feature parameter extraction according to the segmented depth image, performing quantification processing, and building a body weight estimation model of the broiler by adopting various preset regression models; and performing fitting according to the body weight estimation model and various typical nonlinear growth curves so as to obtain a curve model which can represent broiler growth and development to the best. According to the method and the apparatus, the body weight of the broiler is subjected to informationized decision-making by adopting the depth image and the growth curve model; feature index parameters capable of effectively expressing the body weight of the broiler are extracted by utilizing information contained in the depth image; and the growth curve fitting of the broiler is realized on the whole in a mode of carrying out quantitative calculation and variable accurate fitting successively, so that a growth and development law of the broiler can be predicted conveniently.

The invention discloses a sold electricity quantity prediction method based on inventory capacities and business expansion characteristics. The method includes the steps that inventory capacity extraction is conducted according to the procedures of fuzzy extraction, business expansion mining clustering and fine calibration; the quantity of electricity generated by inventory loads is predicted by means of corrected inventory capacities; business expansion capacity utilization characteristics are extracted on the basis of a data statistics and data mining business expansion user electricity utilization growth curve, and the quantity of electricity generated by business expansion capacities of the ensuing year is predicted by means of the business expansion capacity utilization characteristics; the predicted value of the electricity quantity of the ensuing year can be obtained by adding the obtained quantity of the electricity generated by the inventory loads and the predicted quantity of the electricity generated by the business expansion capacities of the ensuing year. According to the method, starting from a power utilization source, capacity utilization characteristics and business expansion characteristics of different members of a selling market are extracted, internal reason and external driving factors of electricity selling market electricity quantity development and change are disclosed for dealing with the current economic situation which changes complicatedly, and scientific judgment bases are provided for the future electricity selling market development trend.

A single technique for determining Ct is provided that can be used for standard sigmoidal growth curves and for problematic growth curves, such as parabolic curves. The Ct value can be determined as the intersection of a line tangent to the growth curve at the maximum of the second derivative with a baseline of the growth curve. Such a Ct value is usable for sigmoidal curves and parabolic curves, and can provide linear calibration curves to achieve accuracy in determining initial concentrations of a sample.

The invention provides an application of a perylene tetracarboxylic dianhydride amidation compound in anti-staphylococcus aureus. The compound is simple to prepare, a perylene tetracarboxylic dianhydride compound and N,N-dimethylethylenediamine are used as raw materials, multiple steps are carried out, the compound can inhibit the growth of staphylococcus aureus, and the bacteriostasis circle of the compound is up to about 10 mm measured by the K-B method. The compound is subjected to 2-fold gradient dilution, and the measured minimum inhibitory concentration (MIC) against staphylococcus aureus is up to 6.25 mg / mL. The growth curve inhibition test shows that when a growth curve of the bacteria in the non-drug treatment group enters the logarithmic phase, a growth curve of the bacteria in the compound treatment group is still in the lag phase, and indicates that the compound can inhibit the division of staphylococcus aureus. The discovered compound in the future can be used for the control of staphylococcus aureus infection, can also be applied in the preparation of antibacterial biomaterials, and has certain application value.

The present invention relates to a device, system and a method for livestock feeding, and in particular, to such a device, system and method in which, the meal size and frequency of meal delivery are controllable based on measureable parameters and expected livestock growth curve and real time parameters.

The invention discloses a method for evaluating the ecological safety early-warning level of a wetland, and relates to the field of ecological environments. The method comprises the steps: determining an early-warning system index factor according to a pressure-state-response model; obtaining a prediction value of a pressure index factor through a gray sequence prediction model; obtaining a land utilization simulated diagram of a particular year through a Clue-S model, combing with software FRAGSTATS, and determining a prediction value of a state index factor and a prediction value of a response index factor; employing an analytic hierarchy process to construct a judgment matrix, and determining the weight of each index factor of en early-warning system; determining an ecological safety index of each index factor of the early-warning system through a logistic growth curve model; and determining an ecological safety value of the wetland through a comprehensive evaluation method. The method can achieve the quantification of the early-warning level of the ecological safety of a corresponding region in future through a wetland ecological safety early-warning standard, and can the effective protection measures for the ecological environment of a regional wetland are proposed according to a specific prediction result.

The invention discloses a preparation method of a nano-silver hybrid sericin porous gel antibacterial material, a product and application thereof. The preparation method includes: extracting sericin from silk, and acquiring sericin powder by freeze drying; re-dissolving the sericin powder, then performing refrigeration to prepare sericin hydrogel, and conducting freeze drying to obtain loose and porous sericin gel, then immersing the sericin porous gel in an AgNO3 solution, conducting in situ synthesis of nano-silver on the surface of the sericin porous gel by means of ultraviolet radiation reduction, thus obtaining the nano-silver hybrid sericin porous gel antibacterial material. Growth curve determination and inhibition zone analysis show that the nano-silver hybrid sericin porous gel antibacterial material prepared by the method provided by the invention has a significant inhibitory effect on growth of escherichia coli and staphylococcus aureus. The method provided by the invention has the characteristics of simple operation, mild condition, green and environmental protection, and is expected to prepare antibacterial materials for the field of biomedical materials.

The invention discloses a monthly electric quantity prediction method based on correction of a business expansion growth curve and season adjustment. The monthly electric quantity prediction method utilizes different modes to realize prediction of the monthly electric quantity curve of an individual user and an overall industry, and can extract the corresponding key parameters by means of the power utilization growth curve for the individual user to correct the overall business expansion growth curve of the industry so as to accurately predict the overall electric quantity of the industry. The monthly electric quantity prediction method performs empirical analysis of the monthly electric quantity prediction of the iron and steel industry in a region, and the prediction result shows that the prediction method provided by the invention can accurately predict the monthly electric quantity for the individual user and the overall industry, and guarantees the effectiveness of the prediction method.

The invention discloses an automatic feeding, automatic detecting and automatic sorting system for group breeding in a large pigpen. The automatic feeding, automatic detecting and automatic sorting system for group breeding in the large pigpen comprises a living area (1), an automatic detecting and sorting device (2), a plurality of feed supply units (3), a feed intake area (4) and a problem pig to-be-handled area (5). An entrance of the automatic detecting and sorting device (2) is connected with the living area (1), and an exit of the automatic detecting and sorting device (2) is connected with an entrance of the feed intake area (4). The feed intake area (4) is located at the rear end of the living area (1). The feed intake area (4) is divided into a plurality of feed intake subareas (41) which are used for feeding of different varieties of feed or feeding through different feeding methods. The feed supply units (3) are installed in the feed intake area (4). The automatic detecting and sorting device (2) is provided with a plurality of sorting outlets, and the sorting outlets are connected with the different feed intake subareas (41) and the problem pig to-be-handled area (5) correspondingly. The automatic feeding, automatic detecting and automatic sorting system for group breeding in the large pigpen is high in automation degree and capable of effectively saving labor, a large number of accurate data are collected, and a growth curve, a feed consumption curve, a body surface temperature change curve and corresponding data tables are generated automatically.

The invention provides a crop growth prediction method and system. The crop growth prediction method comprises the steps of obtaining a normalized vegetation index corresponding to a current year anda normalized vegetation index corresponding to each historical year; carrying out fitting reconstruction on the normalized vegetation indexes corresponding to the current year and each historical yearto obtain a current NDVI fitting curve and each historical NDVI fitting curve; normalizing the current NDVI fitting curve and each historical NDVI fitting curve by using a DTW algorithm to obtain a current NDVI growth curve and each historical NDVI growth curve; calculating the shortest distance between the current NDVI growth curve and each historical NDVI growth curve, taking the year corresponding to the historical NDVI growth curve with the smallest distance as the optimal NDVI growth matching year, and predicting the growth of the target crops in the current year; and predicting the later growth vigor of the target crop according to the obtained optimal matching year, and guiding the crop management.

The invention discloses a child health care system for physique evaluation and nutrition and early education guidance. The child health care system comprises an information acquisition module, an information entry module, a server, an information query module and a display module, wherein the information acquisition module is used for acquiring body information of children, the information entry module is used for entering information acquired by the information acquisition module, the server is used for storing and processing the information entered by the information entry module, and the display module is used for displaying the information queried by the information query module. The child health care system for physique evaluation and nutrition and early education guidance is reasonable in design, can conduct detailed and comprehensive detection on the physique detection information of the children and draw growth curves, analyzes the physique development situations of the children by comparing follow-up physique detection information, provides nutrition and early education guidance and is conductive to healthy growth of the children. A doctor does not need successive term checking for comparison, the system is very convenient to use, and the workload of the doctor is decreased.

A method for forming a multi-color, clustered dot-off-dot halftone screen, includes defining a range of density values for pixels of a first color and assigning those density values to positions along a pixel growth curve; defining a range of density values for pixels of a second color and assigning those density values to positions along the pixel growth curve; and defining the pixel growth curve, such that a plurality of consecutively filled pixels form a cluster along the curve and such that pixels widely separately along the curve are also widely separated within the halftone cell. Density values for pixels of third and fourth colors may be sequentially assigned to positions along the pixel growth curve.

There is provided a fatigue test method with which the crack growth can be checked for a plurality of cycle rates in a single test. At a first cycle rate f1 of 0.01 Hz, hydrogen has a greater effect on crack growth than at a second cycle rate f2 of 1 Hz. As a result, an area of large hydrogen effect (an area developed at the cycle rate f1) and an area of small hydrogen effect (an area developed at the cycle rate f2) appear alternately on the fatigue fracture surface, and since these two areas have different fracture surface morphologies, it is possible to see the boundary lines. Consequently, the lengths of the cracks developed under each set of conditions can be specified, and a fatigue crack growth curve can be acquired for each set of conditions.

The invention discloses a preparation method of an enteric bacilli Z0206 enriched-selenium polysaccharide. The method comprises the following steps: selecting an enteric bacilli Z0206 selenium-resistant strain, coating the selenium-resistant strain on PDA enriched medium containing selenium to carry out domestication, and determining the optimal selenium feeding time and cultivation time by determining a growth curve of bacteria; inoculating the domesticated enteric bacilli Z0206 strain into the PDA enriched liquid medium to carry out shake-flask fermentation, thereby obtaining a fermentation liquor containing the enteric bacilli Z0206 enriched-selenium polysaccharide; collecting supernate from the fermentation liquor, thereby obtaining enriched-selenium crude polysaccharide powder; dissolving the obtained enriched-selenium crude polysaccharide powder into 20-fold hot distilled water; adding trypsase and papain, taking the obtained protease treatment fluid, and adjusting the pH value to be 7.0 by using an oxalic acid to process; then taking supernate, adding an Sevag reagent to the obtained supernate, thereof obtaining deproteinated enriched-selenium polysaccharide; and preparing a 0.5% polysaccharide solution from the obtained deproteinated enriched-selenium polysaccharide, so as to obtain enriched-selenium polysaccharide quality goods.

Systems and methods for determining a transition value in a sigmoid or growth curve, such as the end of the baseline region or the elbow value or Ct value of a PCR amplification curve. Numerical determinations of the second derivatives and curvature values of a PCR data set are made. A Gaussian Mixture Model (GMM) function with parameters determined using a Levenberg-Marquardt (LM), or other, regression process is used to find an approximation to the second derivative values and to the curvature values, where the maximum values of the numerically determined second derivative values and / or curvature values are used as initial conditions for parameters of the GMM function. The determined parameters provide fractional Ct values. The Ct value(s) are then returned and may be displayed or otherwise used for further processing.

The invention discloses a recent region load predicting method based on an S-type curve. The method includes the steps that business expansion data are collected and arranged; a business expansion capacity conversion coefficient is calculated; a business expansion development curve is drawn and corrected; a target annual newly increased load is calculated, and a predication result is adjusted. According to the recent region load predicting method based on the S-type curve, the defect that a traditional macro method can not be suitable for specific region planning can be overcome, in combination with region economic development conditions, the S-type growth curve theory is applied to business expansion engineering consulting of a power enterprise, the rule that the reported installation increased capacity is gradually converted into the actual load within the next years is searched for, which is beneficial to improving the precision of local region load prediction, and more detailed and accurate reference bases can be provided for power distribution system optimizing and planning.