105 results about "Quantitative expression" patented technology

Illness signatures are mathematically characterized by entrainment relationships among multiple time series representations of physiological processes. Such characteristics include time and phase lags, window lengths for optimum detection, which time series are most entrained with each other, the degree of entrainment relative to the rest of the large database, and the concordance or discordance of the time-varying changes. These optimum disease-specific characteristics can be determined, for example, from large, clinically well-annotated databases of time series representations of physiological processes during health and illness. These characteristics of the entrainment relationships among multiple time series representations of physiological processes are used to make mathematical and statistical predictive models using multivariable techniques such as, but not limited to, logistic regression, nearest-neighbor techniques, neural and Bayesian networks, principal and other component analysis, and others. These models are quantitative expressions that transform measured characteristics to the probability of an illness, or p(illness).

Disclosed are methods and compositions for detection and amplification of nucleic acids, wherein two DNA strands hybridized to an RNA strand are ligated. In one aspect, the disclosed methods include removal of an energy source, such as ATP, upon charging a ligase to form an enzyme-AMP intermediate, and then adding substrate, which results in one complete round of RNA-templated DNA ligation. In another aspect, the ligation reaction is accomplished by use of a mixture of at least two different ligase enzymes. The disclosed methods and compositions for RNA-templated DNA ligation may be particularly useful for detection of RNA sequence variants, for example RNA splice variants, and for quantitative expression analysis.

The present invention relates to the field of biotechnology or genetic engineering. More specifically, the present invention relates to a multiple inducible gene regulation system that functions within cells to simultaneously control the quantitative expression of multiple genes.

The invention relates to the field of petroleum and gas geologic exploration and development, especially a method for recognizing the type of internal three-dimensional pores in shale and the quantitatively expressing the structure information of the internal three-dimensional pores in shale petroleum and gas exploration through FIB-SEM. The method comprises the steps: carrying out the high-precision three-dimensional imaging of inorganic substances, organic substances and pores in the shale at micrometer and nanometer scales through the FIB-SEM, and obtaining a three-dimensional FIB-SEM image; carrying out the alignment of all two-dimensional images of the three-dimensional FIB-SEM image, correcting the nonuniformity of the image brightness, and filtering the noise of the image; segmenting the preprocessed image into a pore region, an organic substance and an inorganic substance; marking all pores the pore region of the image, and dividing the pores into an organic pore, an inorganic pore and a boundary pore according to the distribution conditions of the organic and inorganic substances around the pores; analyzing all pores through a mathematic method, and obtaining the expression parameters of the three-dimensional pores.

The invention relates to a craniofacial morphological analysis and facial restoration method based on craniofacial denseness corresponding point clouds. The method comprises the steps of 1, acquisition of skull denseness corresponding point clouds; 2, acquisition of facial denseness corresponding point clouds; 3, visual analysis of a craniofacial morphological relation; 4, expression of the craniofacial morphological relation based on soft tissue partitioning; and 5, facial restoration of an unknown body source skull. According to the method, analysis of the craniofacial morphological relation is realized by use of visual analysis based on a principal component coefficient and a quantitative expression method of least square regression, and the problems that craniofacial point cloud data size is large, principal component geometrical significance cannot be easily determined, and the craniofacial morphological relation cannot be easily expressed quantitatively are solved; the problems that the craniofacial morphological relation is complicated, and the craniofacial morphological relation is inconsistent among different regions are solved by use of a craniofacial partitioning method based on soft tissue thickness, and the accuracy of the craniofacial morphological relation is improved; finally, facial restoration of the unknown body source skull is realized by use of the craniofacial morphological relation based on partitioning.

The invention discloses a petroleum reservoir exploitation effect evaluation method, and belongs to the field of petroleum reservoir exploitation effect evaluation methods and classification technologies. The evaluation method comprises the following steps of: a, judging a petroleum reservoir type of a target petroleum reservoir according to geologic features of the target petroleum reservoir; b, determining development stages of the target petroleum reservoir according to the petroleum reservoir type and a reserve recovery rate of the target petroleum reservoir; c, obtaining a calculation result of each development effect evaluation index of the target petroleum reservoir; d, obtaining a weight value of each development effect evaluation index according to the petroleum reservoir type and the development stages of the target petroleum reservoir, the calculation result of each development effect evaluation index and a preset rule; and e, calculating a sum of the weight values corresponding to the development effect evaluation indexes to obtain a development effect comprehensive score of the target petroleum reservoir, and determining a development effect of the target petroleum reservoir according to the comprehensive score. The evaluation method is capable of comprehensively and really reflecting the practical development effects of petroleum reservoirs and realizing the quantitative expression for the petroleum reservoir development effects.

Embodiments include receiving data defining customer characteristics, facility capabilities and financial data for an automobile service facility, generating a computer model of the service facility based on the customer characteristics, facility capabilities, and financial data, and calculating one or more quantitative indications of expected facility performance based on the model. Computer experiments may be conducted to identify one or more service facility characteristics that have an impact on service facility efficiency or revenue. Computer experiments may result in the derivation of one or more quantitative expressions interrelating one or more of the service facility characteristics that have an impact on service facility efficiency or revenue. Based on one or more aspects of the foregoing, aspects of the service facility may be changed in an attempt to improve efficiency or revenue.

The invention relates to a predication method of organic holes of different types of clay shale. The method comprises the steps of building a conceptual model and predication model for organic carbon recovery coefficients of organic matters of different types of clay shale; calculating original organic carbon, organic carbon discharged during producing hydrocarbon, and residual organic carbon after discharging hydrocarbon so as to predicate original organic down holes, formed organic down holes and organic down holes without being formed at present; predicating the currently formed actual organic holes and the organic holes lost in compressing of the clay shale after compressing and calibrating. According to the method, the models are built to predicate the original organic down holes, the formed organic down holes, the organic down holes without being formed at present, the currently formed actual organic holes and the organic hole lost in the compressing of the clay shale after compressing and calibrating; therefore, the precision is high; the calculation result is reliable; the basis is provided to accurately evaluate the size of the organic holes, in particular quantitatively evaluate the heterogeneity distribution evolution of the organic holes in different clay shale; the method is of important significance in study on the general oil and gas storage mechanisms of the clay shale, the quantitative expression of heterogeneity of oil-gas containing property of the clay shale, and evaluation of the oil-gas resource of abnormal clay shale.

The invention provides sampling methods that permit the quantitative analysis of nucleic acid amplification reactions. The methods disclosed permit quantitative expression analysis of multiple genes or transcription units, both in the same amplification reaction and in multiple amplification reactions. In one aspect, the methods disclosed include, briefly, dispensing or withdrawing an aliquot from a reaction mixture at plural stages of an amplification regimen, separating and detecting nucleic acids in the aliquot, determining the quantity of a plurality of separated nucleic acid species in the aliquot, and for each separated nucleic acid species from each stage, correlating the quantity of the species with the stage at which the aliquot comprising the species was dispensed, thereby generating a profile of the amplification.

The present invention discloses a method for accurately characterizing cut tobacco drying step material processing intensity. The method comprises: respectively collecting cut tobacco before and after drying; carrying out equilibrium; carrying out spectrum scanning; sequentially carrying out multiplicative scatter correction, second-order partial derivative-Norris derivative filtering, and main component analysis on the spectrum data; respectively establishing class models of the cut tobacco with no drying and the cut tobacco with different drying processing gradients; and calculating to obtain an average of a class model Mahalanobis distance from the cut tobacco with different drying processing gradients to the cut tobacco with no drying so as to determine a processing intensity. With the present invention, qualitative and quantitative expression of the cut tobacco drying intensity is achieved, objective guidance on parameter regulation and control of the drying step for preparing the cut tobacco thread is easily achieved, subjectivity influence on the existing processing intensity judgment is changed, and the intrinsic quality change of the cigarette can be well and objectively judged. In addition, the operation method is simple and easy to perform, and technical effects are remarkable.

The invention discloses a highway geological disaster risk assessment method, including the following steps: step S100, establishing a plurality of regional digital elevation models (DEM) based on a high-resolution satellite remote sensing technology, simultaneously generating high-resolution digital orthophoto maps (DOM) of a plurality of regions, recording and storing remote sensing informationdata of different regions, and extracting geological disaster factors of each region; step S200, performing quantitative statistical analysis on the geological disaster factors in the step S100; and step S300, adopting two different data processing methods for the quantitative statistical analysis described in the step S200, including quantitative processing and qualitative processing. Thereby, the quantitative expression of highway geological disaster risks can be realized, high-resolution satellite stereo image data is adopted to perform remote sensing identification and qualitative analysis, automatic information extraction and quantitative statistical analysis on highway geological disasters such as landslides and collapse, and thus the function of accurately and efficiently assessingthe highway geological disaster risks can be realized.

The invention belongs to the technical field of earth sciences, and particularly relates to a method for extracting and quantitatively estimating hyperspectra of a drilling rock core altered mineral. According to the method, the advantages of a ground imaging hyperspectral data spectral resolution and the characteristics of atlas oneness are utilized, by collecting the drilling rock core hyperspectral image data, the altered mineral which has a close relation with hydatogenesis is recognized and extracted, and the space zoning of the altered mineral in the drilling depth direction is quantitatively estimated at the same time. According to the method for extracting and quantitatively estimating the hyperspectra of the drilling rock core altered mineral, the altered mineral information which has a close relation with a deep hydrothermal ore-forming can be accurately extracted, the growth of the altered mineral in the rock core can be visually manifested, the quantitative expression of the altered mineral in the drilling scale can be achieved, and the method for extracting and quantitatively estimating the hyperspectra of the drilling rock core altered mineral provides important practical value for the deep ore finding and prospecting.

A rock-soil wetting test device comprises a workbench (7), a cantilever bracket (1) fixed on the workbench (7), a sample holding grid frame (3) hanging at the upper end of the cantilever bracket (1), a test sample (6) put in the sample holding grid frame (3), a beaker (2) put on an electric scale (4), and a disintegration liquid (5) in the beaker (2), wherein the electric scale (4) is located on a hoisting device (8), and the hoisting device (8) is located on the workbench (7). The invention overcomes the extreme situation that the current research method mainly focuses on dry (baking)-wet (soaking) circulation and the defect of fewer research on intermediate state. The invention can carry out quantitative expression on the whole process of soil wetting with simple structure and convenient use.

The invention relates to a fine drawing method based on social statistical data. According to the method, firstly, an influential factor system of social statistical data space distribution is determined based on an environment needed by social statistical data space distribution; secondly, multi-source data are integrated, uniform and rapid social statistical data fine spatialization production is carried out by combining the genetic planning (GP) algorithm and the particle swarm optimization (PSO) algorithm; thirdly, a plane layer structure and a layer coordination scheme of a fine social statistical data distribution diagram, a legend system and an expression mode are determined, and Chinese and English annotations are arranged with a longitude and latitude net as a basic control net; finally, the diagram is printed after quality testing and finalizing are carried out. By means of the method, the purposes that the relation quantitative expression mode between impact factors and the social statistical data is rapidly and accurately found in the social statistical data fine production process can be effectively achieved, and the method can be used for achieving intelligent fine expression of the same set of social statistical data in a plurality of space size ranges.

The invention provides a monoclonal antibody for a gene TP53. A highly-conserved protein sequence of the gene TP53 is target protein. Epitope peptide is synthesized through design and coupled with carrier protein to be used as immunogen. The monoclonal antibody is prepared from the immunogen. According to the monoclonal antibody and the epitope peptide synthetized through design, the monoclonal antibody can be used for detecting quantitative expression of human blood or tissue TP53 antibodies, has the advantages of being high in specificity and sensitivity and can be widely applied in clinical detection and experimental research.

The invention belongs to the technical field of medical treatment and pyradiomics, and particularly relates to a gene heterogeneity visual quantification method in glioma based on pyradiomics and a system. The method of the invention comprises the steps of segmenting a glioma magnetic resonance image by means of an image segmenting network 3D U-net; performing predictive modeling on the integral glioma IDH (isocitrate dehydrogenase), namely performing high-flux characteristic extraction and characteristic screening on the image, and screening a characteristic combination which is most sensitive and most effective to gene expression; performing heterogeneous modeling on the glioma IDH based on an image block, extracting a multi-dimensional data block of the glioma image, obtaining the IDH expression strength of each data block based on the integral predicting model; and finally forming the IDH distribution visualization and quantitative expression of the whole tumor. The method and thesystem have advantages of more accurately determining the prognosis and radiotherapy and chemotherapy sensitivity of the patient, realizing surgery resection and targeting treatment in heterogeneous atlas navigation, and realizing high clinical value in improving treatment effect of the patient and improving survival prognosis.

A tumor immune T cell detection kit and method are provided. The kit includes specific primers for detecting specific quantitative expression of immune-related target genes in human peripheral blood T cells through subjecting the target genes to PCR amplification based on SYBR-Green quantitative PCR amplification. The immune-related target genes include receptor and ligand related target genes, NK cell related target genes and key cytokine genes. Expression profiles of the immune system related target genes in the human peripheral blood T cells can be accurately and quantitatively detected by the kit and the method successfully so that targets can be provided for accurate immune treatment of tumor patients. In a treatment process, cytokine storm response to immune treatment of a patient can be detected timely, thus providing guidance for avoiding adverse reactions. States of the immune system in the treatment process and after treatment are assessed, thus providing supports for adjusting the amount of an antibody medicine used for treatment or the feedback number of modified T cells and even target adjustments. The kit and the method are comprehensive in detection, rapid, quantitative, accurate, high in sensitivity and low in cost.

Provided is a novel method of diagnosing rheumatoid arthritis. Based on the quantitative expression profile of sugar chain expression amount in the serum (whole serum, HAP or LAP), the relevancy thereof to rheumatoid arthritis is analyzed. As a result, a sugar chain and a glycoprotein showing a change depending on the onset of rheumatoid arthritis are found out and thus a serum sugar chain and a glycoprotein usable as a novel biomarker are provided.

The invention discloses a strength-stress ratio rock burst criterion method considering tunnel surrounding rock stress distribution, which comprises the following steps: step 1, proposing a concept ofstress set degree, and giving a quantitative representation method of a surrounding rock stress set degree value; step 2, on the basis of a large number of engineering rock burst instances, combiningthe stress set degree parameters with the strength-stress ratio and the rock burst grade in the aspects of describing stress field disturbance and rock burst strength to obtain actually measured dataof the stress set degree, the strength-stress ratio and the rock burst strength, and representing the actually measured data in a two-dimensional plane determined by the strength-stress ratio and thestress set degree; and step 3, carrying out multi-parameter expression experience fitting, carrying out comprehensive quantitative expression on a fitting result, and establishing a more accurate andreasonable rock burst strength stress ratio criterion. The rock burst strength prediction method provided by the invention is simple and easy to implement, is convenient for practical engineering application, and has higher prediction precision, and the empirical relational expression can be used for design and construction guidance.

The invention discloses a differential proteomic analysis method using transcriptome sequencing and based on combination of iTRAQ and LC-MALDI. The method comprises the steps: (1) transcriptome sequencing is performed; (2) differential proteomic analysis is used for extracting the total protein fluid of livers of normal group rats and liver cancer group rats, the two groups are mixed respectively,proteins are precipitated and quantified by an acetone precipitation method, each group contains about 100 [mu]g of the total proteins, trypsin enzymolysis, reduction alkylation, iTRAQ labeling and the like are performed successively, and the process is performed by strictly following instructions of an iTRAQ kit; and (3) bioinformatics analysis is performed. A clinical sample is adopted for positioning and quantitative expression verification, an evidence of the clinical sample with clinical relevance is searched, clinical value is evaluated, and a new clue is provided for research of livercancer pathogenesis and a liver cancer mechanism. Liver cancer key molecules screened by the project can lay the research basis for exploration of liver cancer markers related to early detection, classification and prognosis evaluation, and selection of more effective and accurate liver cancer treatment target positions.

The invention relates to a stable rapid atmosphere switching method, a system and an application and solves a problem that reliability, repeatability and accuracy of an analysis process are influenced by atmosphere which can not be stably, rapidly and completely replaced in a micro reactor in a reversing valve system in the prior art. According to the method, an inlet air flow flowing to the downstream is rapidly switched by an air flow commutation unit, combined control on pressure difference between the inlet air flows is carried out by an inlet pressure controller and a pressure transmitter to be close to zero, and the switching process is enabled to be stable and rapid. Through the method, stable rapid switching can be realized in a mode of making composition concentration of the downstream air flow approach an ideal rectangular wave. The method is applicable to analysis on a solid particle multi-phase phase in situ reaction process based on atmosphere switching and quantitative expression of diffusion and back-mixing of the air flow in the micro reactor.

The invention discloses a vegetation ecological quality index construction method based on vegetation NPP and coverage. The method includes: according to the climate adaptability principle of vegetation growth and the importance of ecological service functions, on the basis of calculating vegetation NPP and coverage, calculating an annual vegetation comprehensive ecological quality index of a local or concerned area by weighting the weight; calculating the ratio of the current-year vegetation NPP to the historical highest value; determining the weight of the vegetation NPP and the coverage inthe comprehensive ecological quality index; converting the current-year vegetation NPP is converted from gram carbon/square meter * year to a ratio of relative historical highest values, wherein the value is between 0 and 1; and matching the vegetation coverage with the numerical value of 0-1. The problem of comprehensively and quantitatively calculating the vegetation ecological quality is solved, the method is more objective and comprehensive compared with single use of vegetation NPP or coverage quantitative expression vegetation ecological conditions, the method is suitable for estimationof the vegetation ecological quality of the whole land ecological system, and important technical support is provided for monitoring and evaluating the vegetation ecological quality and developing ecological meteorological services.