44results about How to "Sample requirements are low" patented technology

The invention relates to a device and a method for measurement, in particular to the method for calculating the mechanical properties of a series of rock sample materials by recording relationships between testing forces/loads and indentation depths/displacements at different moments. The device comprises a rack, a DC motor, displacement measurers, a rigid flat-bottom pressure head and a sample fixing station, wherein the rack is divided into two layers; the upper layer of the rack is provided with the DC motor of which one end is connected with the rigid flat-bottom pressure head; the displacement measurers are distributed about the rigid flat-bottom pressure head; and the sample fixing station is fixed on a base of the lower layer of the rack. The reliability and effectiveness of the method can be evaluated by comparing basic rock mechanical property measurement results with those obtained by other conventional testing means. In addition, compared with conventional mechanical test methods such as single-pressing tests, single-pulling tests, triaxial compression tests and the like in laboratories, the method has the advantages of short test process, simplicity and convenience of operation, low requirements on samples, economy and the like.

The invention discloses roe and fry quick classification and determination methods based on CoI DNA bar codes. The methods comprise the following steps: collecting fish samples capable of being subjected to accurate classification and determination in a water region under investigation, respectively carrying out PCR amplification and sequencing on mitochondria CoI fragments of various fishes, establishing a CoI DNA bar code database of the fishes in the water region under investigation according to the amplification and sequencing results, numbering the roe and fry samples in the water region under investigation, respectively extracting DNAs of the roe and fry samples, carrying out amplification and sequencing on feature fragments, comparing the amplification and sequencing results with the established CoI DNA bar code database, and thus rapidly and accurately determining the varieties of the roe and fry samples. With the adoption of the methods, the defects that the existing classification and determination methods are large in error and fail in identification, samples to be classified need to be cultured in large quantities, genetically close species can not be distinguished, and the classification and determination cost are high are overcome, and the advantages of rapidness and accuracy of the roe and fry quick classification and determination methods are exerted.

The invention discloses mutant type Taq DNA polymerase, a nucleic acid extraction-free direct PCR amplification kit and an application of the mutant type Taq DNA polymerase. By mutating 709-site glutamic acid of wild Taq DNA polymerase into glutamine, the activity, tolerance and the like of the obtained mutant type Taq DNA polymerase are obviously improved. The mutant type Taq DNA polymerase onlyhas a site, so that the mutation sites are few, and the preparation is easy. Experiment results show that the mutant type Taq DNA polymerase can be applied to a nucleic acid extraction-free direct PCRamplification reaction system, and the nucleic acid extraction-free direct PCR amplification of samples such as blood, foods and soil which contain a large number of inhibiting factors can be realized.

Disclosed is a support vector machine for measuring solid-liquid separation size-grade distribution of hydrocyclone, which is characterized in that: selecting feeding flow, feeding volume concentration, feeding pipe pressure, overflow concentration which relating to hydrocyclone and taking overflow grain size data obtained from offline analysis as auxiliary variable; matching with functional relations of auxiliary variables and program variables with computer to measure program variables.

A method for testing a thermal expansion coefficient of a small sample by using a nanomechanical tester comprises the following steps of preparing the sample into a wedge or stepped sample of a givengeometry and selecting two positions having a certain height difference on the sample; respectively marking the height and height difference; recording the temperature before and after the temperaturechange as well as the temperature change value; and during the temperature change, respectively measuring the height variation of the two positions by a high-precision displacement sensor in the nanomechanical tester, wherein the difference between the height variation of the two positions is the amount of expansion of the sample with a thickness of deltah at a temperature change deltaT, and thelinear thermal expansion coefficient alpha of the sample can be calculated by a formula. Using the nanomechanical tester combined with a heating stage, the method can realize the measurement of the thermal expansion coefficient of the small sample, is suitable for solid material testing, including crystals and amorphous bodies, and has the characteristics of low requirements on samples and simplesample preparation.

The invention belongs to the field of non-destructive detection, and relates to a laser ultrasonic non-destructive detection method for material textures. The method comprises the following steps of measuring; imaging; correcting; secondary imaging. The laser ultrasonic non-destructive detection method for the material textures has the advantages that the material micro-texture can be favorably performed with the non-destructive detection; a grain orientation distribution map is measured according to the change of laser-excited ultrasonic surface wave speed, so as to reflect the material texture; a sample is directly put on a test bench, a sample detection area is only limited by the movement range of the test bench, the detection area is flexible, and the detection range is large; 2, the used laser spot can be adjusted, so the single measuring range can be changed, the resolution of the measuring space can be correspondingly adjusted, and the higher detection efficiency can be obtained under the condition of lower requirement on space resolution; 3, the surface of a sample only needs grinding, and does not need polishing, the requirement on the sample is low, and the method is especially suitable for the large-range scanning.

The invention discloses an ANFIS-based synchronous phase modifier short-circuit fault identification method and system, and the method comprises the steps: simulating different working conditions of asynchronous phase modifier, collecting excitation current data of the synchronous phase modifier under different working conditions in a simulation process, and constructing a training sample set; constructing and training an adaptive neural fuzzy inference system ANFIS for short-circuit fault identification of the synchronous phase modifier; testing different working conditions of the synchronous phase modifier, collecting excitation current data of the synchronous phase modifier under different working conditions in the test process, and constructing a test sample set; and carrying out diagnosis on the short-circuit fault of the synchronous phase modifier in the experiment process. According to the method, the advantages of the neural network and the fuzzy logic are integrated, the problem of a local minimum value is avoided, the sample requirement is low, a large amount of training data is not needed, the diagnosis result has high reliability, the fault can be accurately diagnosed,and the specific fault type can be distinguished.

The invention relates to an SNP (Single Nucleotide Polymorphism) marker composition for detecting lung cancer susceptibility, a primer composition and a kit. The SNP marker composition comprises rs1048943, rs1051730, rs13181, rs1799793 and rs25487. The SNP marker composition provided by the invention can systemically and comprehensively reflect lung cancer susceptibility, is particularly suitableto be used by Chinese populations, and is conducive to early discovering lung cancer populations, so that a living environment and a living habit are specifically improved, and the lung caner incidence rate is reduced.

The invention discloses a soft measurement method for the overflow particle size of a hydrocyclone. The method comprises the following steps of: A. acquiring xi1, xi2, xi3, xi4 and yi separately; B. performing normalization processing on xik (k is equal to 1, 2, 3 or 4) and yi separately, obtaining processed values xik and yi, and obtaining a sample set defined in the specification, wherein xi is defined in the specification; C. setting gamma and K(x,xi); D. calculating a formula defined in the specification; E. performing inverse normalization reduction on y(x) to obtain ypi; and F. acquiring x1, x2, x3 and X4 separately to obtain a formula defined in the specification, and substituting x into ypi to calculate current overflow particle size. The method is short in test time, can realize real-time automatic control, and is relatively low in cost, low in sample requirement and high in prediction precision.

The invention relates to an exosome ecDNA biomarker detection reagent for the early diagnosis of lung cancer. The biomarker comprises exosome ecDNA biomarkers C-myc, EGFR and CyclinD1, and is used asa biomarker for predicting early lung cancer. The invention provides and verifies that the advantages of rapidness, no harm, high accuracy and high specificity are achieved when the exosome ecDNA is used as a biomarker expression level for the early diagnosis of lung cancer for the first time, and thereby the detection reagent has important significance for the early diagnosis of lung cancer.

The invention provides a single-site DNA methylation detection kit. The kit is composed of a loop-mediated amplification reaction solution, DNA polymerase, a primer probe mixed solution and a standardsubstance. According to the kit disclosed by the invention, LAMP amplification is carried out on DNA of a sample subjected to salt treatment by utilizing a specific primer, an amplification product of a gene containing a methylation site is identified by virtue of an OSD report probe chain replacement reaction, and the methylation level is simply, quickly and highly-sensitively detected. The kitdisclosed by the invention can be used for single-site DNA methylation detection (an E-Box site in a near-end promoter region of a human genome SLC22A2 gene is selected as a detection target). The kitdisclosed by the invention is a product which is low in sample requirement, short in detection time, low in diagnosis cost, simple to operate and suitable for popularization, and is one of the correct directions in which existing cancer diagnosis technologies can obtain major breakthroughs.

The invention relates to the technical field of mechanical equipment signal processing, in particular to a gray fault diagnosis method for a key rotating part of a vehicle driven by signal frequency domain characteristics. According to the characteristic that vibration signal frequency domain characteristics caused by different faults are different, frequency response of Q-switched wavelet transform is used for analyzing vehicle rotating part vibration signals or envelope signals of the vehicle rotating part vibration signals, and feature vectors with sub-band energy proportions of the signals in different frequency bands as elements are constructed; for the problem that the correlation degree is too large due to the fact that the change trends of the two sequences are different and the original cumulative difference is small when the gray proximity correlation degree processes the two groups of intersecting sequences, a gray absolute proximity correlation degree model is provided; and under the driving of the constructed frequency domain feature vector, the gray absolute proximity correlation degree of the frequency domain feature vector and a standard mode is calculated to identify the fault state of the key rotating part of the vehicle. Compared with other vehicle key rotating part fault diagnosis methods, the method has the advantages of theoretical support and efficient algorithm.

The invention discloses a method for detecting the ploidy of watermelon. The steps include preparing protoplasts, extracting total DNA, and detecting DNA concentration by quantitative PCR. Protoplastsare isolated from leaves of watermelon with different ploidy. Total DNA is extracted from the same amount of protoplasts. According to the 5S rDNA sequence of watermelon, specific primers are designed for quantitative PCR. The standard curve of Ct values and DNA concentrations is plotted with different DNA concentrations. The concentration of Ct is converted and ploidy is calculated according toDNA concentration of different ploidy of watermelon. The method has low requirements for samples, and other plant tissues other than fruits and seeds with more nutrients can be separated from protoplasts. Fluorescence quantitative polymerase chain reaction (FQ-PCR) instrument with low requirement and low cost can meet the demand without purchasing relatively expensive Flow Cytometry (FCM). The accuracy of the method is similar to that of flow cytometry, and the precision of detection is higher than that of stomatal guard cell chloroplast counting method, and the operation flow is easier to realize than that of chromosome counting method. It provides a new way for watermelon ploidy detection.

The invention discloses a five-degree-of-freedom bearingless permanent magnet synchronous generator neural network prediction decoupling controller, which is characterized in that the input end of a fuzzy neural network system is respectively connected with two neural network dynamic prediction modules in series, and the output end of the fuzzy neural network system is connected with a composite controlled object comprising a five-degree-of-freedom bearingless permanent magnet synchronous generator; the first neural network dynamic prediction module outputs a composite control quantity ja at the t + 1 moment, and the second neural network dynamic prediction module outputs a composite control quantity jb and a power generation voltage control quantity at the t + 1 moment; the output of the fuzzy neural network system is a power generation winding reference voltage component, a rotor radial suspension force winding reference voltage component and a rotor axial displacement control voltage at the t + 1 moment; according to the method, the advantages of low sample requirement of fuzzy logic control and good dynamic performance of the neural network on system learning ability and prediction control are combined, various static and dynamic performance such as good rotor radial displacement and power generation voltage control can be obtained, and the control efficiency is improved.

The invention discloses a bearingless permanent magnet synchronous generator fuzzy neural network prediction decoupling control system which is formed by connecting a neural network prediction controller and a fuzzy neural network inverse controller, and the fuzzy neural network inverse controller is composed of a fuzzy neural network system, two analog switch signal modulation modules and an IGBT three-phase inverter. The neural network prediction controller predicts an eccentric displacement control quantity and a voltage control quantity at the next moment, the fuzzy neural network system outputs a suspension force winding reference voltage and a power generation winding reference voltage, and the suspension force winding reference voltage is input into a first analog switch signal modulation module; the reference voltage of the power generation winding is input into a second analog switch signal modulation module; and by adopting the predicted displacement at the next moment, the method not only has the advantages of simple inverse system structure and strong robustness, but also reliably realizes decoupling control between the radial suspension force of the generator and the generating voltage by combining the advantages of fuzzy logic control.

The invention belongs to the technical field of material detection, and particularly relates to a method for testing the volume expansion coefficient of an irregular or micro-scale crystal material. According to the method, the volume expansion coefficient alpha V of the material is further calculated by collecting the XRD diffraction pattern of the material at different temperatures and calculating the expansion coefficient of each phase lattice constant. Volume expansion coefficient of irregular and micro-scale samples can be measured, and the irregular and micro-scale samples comprise micro-components, thin film materials, leads for components, solders and other materials. The method has the characteristics of low sample requirements, simple operation and high characterization efficiency. The method also solves the problems that the coefficient of thermal expansion of irregular and micro-scale materials is not easy to detect, and has high application value.