19results about How to "Sample requirement is small" patented technology

The invention relates to the technical field of underwater acoustic target detection, and discloses an underwater acoustic passive target detection method, device and equipment, and the method comprises the steps: dividing underwater acoustic passive noise signals collected by a preset vertical array in different sea areas into a plurality of framing signals, and constructing a source domain and target domain data set; for each framing signal in the source domain data set and the target domain data set, extracting a plurality of low-order features, calculating a first-order difference form of each low-order feature, obtaining the low-order features and a plurality of statistical function values corresponding to the first-order difference form, and constructing an acoustic signal feature of each framing signal; based on a transfer learning method, taking a source domain target detection model obtained by using the source domain data set as a target domain initial detection model, and performing fine tuning by using the target domain data set to obtain a target domain target detection model; and inputting acoustic signal features corresponding to real-time underwater sound passive noise signals acquired in real time in the sea area to be identified into the target domain target detection model to obtain an underwater sound passive target detection result.

The invention relates to the field of shield tunneling and stratum deformation prediction, and provides a double-engine prediction method and system for stratum deformation caused by shield tunneling, and the method comprises the steps: S1, determining an analytical solution model; s2, according to the geological parameters of a certain geological section, the field actual measurement deformation value of the geological section and the analytical solution model, the stratum loss rate of the geological section is obtained; s3, the step S2 is repeated, and the stratum loss rates of the multiple geological sections are obtained; s4, selecting and training a neural network; s5, taking the geological parameters of the to-be-predicted section as input, substituting the geological parameters into the neural network, and outputting the stratum loss rate of the to-be-predicted section; and S6, substituting into the analytical solution model to obtain a stratum deformation prediction value of the to-be-predicted section. The method is clear in theoretical basis, simple in application and low in sample demand quantity, and engineering application can be facilitated on the premise that the prediction precision is met.

The invention discloses a nucleic acid extraction and purification kit and application thereof. The nucleic acid extraction and purification kit is composed of a lysis solution, magnetic beads (hydroxyl magnetic beads), a deproteinized washing solution, a washing solution and an eluent. The nucleic acid extraction and purification kit is matched with a nucleic acid extraction and purification instrument for nucleic acid extraction and purification, compared with a centrifugal column method, long-time centrifugation is not needed, high-throughput and automatic operation is facilitated, and the probability of errors caused by manual operation is reduced.

The present invention discloses a method and device for identifying a small sample of radiation sources, the method comprising: obtaining a small sample data set of radiation sources; the small sample data set of radiation sources comprises N small sample data information of radiation sources, N being a positive integer; extracting features from the small sample data information of radiation sources to obtain individual feature information of radiation sources; expanding the individual feature information of radiation sources to obtain expanded individual feature information of radiation sources; using the expanded individual feature information of radiation sources to train a preset small sample individual recognition model of radiation sources to obtain an optimized small sample individual recognition model of radiation sources; using the optimized small sample individual recognition model of radiation sources to process the small sample data information of radiation sources to be identified to obtain a small sample data recognition result of radiation sources. The method of the present invention can realize rapid reconnaissance and accurate identification of individual radiation sources, and provide a realistic basis for subsequent decisions such as tracking and interference with individuals.

The application provides an old person medical self-service machine intelligent interaction system and method based on a BP neural network, binocular cameras collect near-infrared and visible light dual-mode image data of a user's face, a first sub-network calculates an old person identity similarity P1; the relationship between the old person identity similarity P1 and a preset threshold T1 is judged, if P1 >= T1, it is considered that an old person is operating, an infrared sensor is triggered to collect hand behavior data; hand behavior features are extracted according to the hand behavior data collected by the infrared sensor, the hand behavior features are used as inputs of a second sub-network, and a behavior compliance degree P2 is calculated; the relationship between the behavior compliance degree P2 and a preset threshold T4 is judged, if P2 < T4, and the hovering duration >= T2 or the click frequency <= T3, it is determined that an operation difficulty state exists; an interaction adaptation and multi-level early warning mechanism is triggered. The application has the characteristics of high intelligence, multi-modal data fusion, active intelligent adaptation, three-level early warning service closed loop, adaptive parameter configuration and small sample learning ability.

The invention provides a probe, a freeze-drying reagent, a lateral flow chromatography test strip, a kit and a method for detecting RNase activity, and relates to the technical field of biology. According to the present invention, based on the specific antigen-antibody reaction and the immunochromatography technology, the RNA probe with the 5'end labeled with digoxin and the 3 'end labeled with biotin is selected as the substrate, and under the condition that the sample to be detected contains RNase and is mixed with the substrate, the RNase can specifically recognize and cut the phosphodiester bond on the RNA probe so as to fragment the RNA; then, the test strip is inserted into the reacted reagent, if the sample does not contain RNase, the RNA probe is not subjected to enzyme digestion and can be fixed on the quality control line and combined with streptavidin, the quality control line shows a red strip, and the detection line does not develop color; if RNase exists in the sample, the RNA probe is fixed on the detection line after being subjected to enzyme digestion and is combined with the secondary antibody, and a red strip appears on the detection line.

The invention provides a specific primer for rapidly identifying northern root-knot nematode in soil and application of the specific primer, and relates to separation of northern root-knot nematode in soil and extraction and identification of single nematode DNA. The specific primer is an upstream primer Mhs-F: TGTCTGGCTTGGGCTAC, and the specific primer is a downstream primer Mhs-F: TGTCTGGCTAC; the downstream primer is Mhs-R: GGTGACCGAAAGAGCATT, and the downstream primer is Mhs-R. According to the primer, the defects in the prior art are overcome, the northern root-knot nematode can be rapidly and accurately identified through the primer, and a foundation is laid for prevention and treatment of the northern root-knot nematode.

The present invention discloses a culture medium for constructing an in vitro 3D micro-tumor model of thymic tumors and its method and application. The present invention relates to the field of biotechnology, and provides a culture medium for constructing an in vitro 3D micro-tumor model of thymic tumors, which is composed of double anti-P / S, HEPES, GlutaMax, MEM non-essential amino acid solution, human recombinant protein EGF, human recombinant protein bFGF, human recombinant protein MSP, human recombinant protein HGF, human recombinant protein IL-2, human recombinant protein IL-15, human recombinant protein Noggin, human recombinant protein IGF, forskolin, A83-01, SB202190, B27, ITS-X, Y-27632 and basal culture medium. The in vitro 3D micro-tumor model of thymic tumors constructed using the culture medium of the present invention can accurately reflect the various characteristics of the original lesions of patients, and is a good scientific research experimental model and preclinical experimental model in the field of accurate diagnosis and treatment of tumors.

The invention discloses a construction method and application of a nucleic acid sequence for cfDNA multiple gene methylation detection. The construction method comprises the following steps: carrying out enzyme digestion on cfDNA to be detected by using methylation sensitive restriction endonuclease to obtain an enzyme digestion fragment, and connecting a joint to a cut end of the enzyme digestion fragment by using ligase to form a joint product; and carrying out PCR amplification by taking the joint product as a template, and constructing a recombinant nucleic acid sequence for detecting the methylation site of the target gene. The construction method disclosed by the invention can be used for methylation qPCR analysis of cfDNA level and quantitative analysis of low-abundance specimens, the demand quantity of samples is small, the coverage range of methylation analysis is wide, and the methylation enrichment efficiency is high.

The present invention provides a single-copy millet gene and a method for detecting the number of inserted copies of an exogenous gene in millet using the same, belonging to the field of biotechnology. The single-copy millet gene is SD1 Gene; A method for detecting the number of inserted copies of foreign genes in millet using the same is based on SD1 The gene was used as the internal reference gene. Cozy The screening marker gene is used as an exogenous gene, and the primer pair SD1-F / SD1-R and the primer pair Hyg-F / Hyg-R are used to detect the genomic DNA of the transgenic millet, and the number of inserted copies of the exogenous gene in the transgenic millet is determined. The present invention provides a method for high-throughput detection of the number of inserted copies of exogenous genes in transgenic millet using digital PCR or fluorescent quantitative PCR technology, which has the characteristics of being simple and rapid, having low sample requirements, being highly efficient, and having high throughput, and can improve the efficiency of large-scale screening of transgenic strains.

The invention discloses an E.coliHCD residue detection kit residue detection method, which comprises the following steps: selecting target Escherichia coli host bacteria, carrying out culture expression to obtain Escherichia coli host cell protein, dissolving the Escherichia coli host cell protein by using a solvent pair solid, and carrying out freeze drying to obtain the E.coliHCD residue detection kit. Secondly, diluting a to-be-detected Escherichia coli host cell protein solution by using a diluent, wherein the concentrations of the diluted Escherichia coli host cell protein solution are 1.1 ng / mu L, 0.11 ng / mu L, 0.011 ng / mu L, 0.0011 ng / mu L and 0.00011 ng / mu L respectively; according to the method, a sample to be tested is obtained, the sample to be tested is converted into positively charged gaseous ions through an electrospray or MALDI technology, the gaseous ions enter a mass spectrometer to be dissociated, then the mass spectrum ratio is obtained, a mass-to-mass-charge ratio spectrogram is drawn, and by analyzing the mass-to-charge ratio spectrogram, the types and the number of the proteins can be obtained; the sample pretreatment method adopted by the invention is simple in process, low in cost and low in sample demand.

The invention discloses a CE-MS detection method for host cell protein coverage rate detection, which comprises the following steps: centrifuging host cells to be detected to obtain supernate, and diluting the supernate to a set concentration to obtain a test sample; detecting the sample to be tested by a capillary electrophoresis-mass spectrometry method to obtain an ion flow chromatogram; acquiring the peak area corresponding to the extracted ion flow chromatogram of the host cell to be tested in the sample to be tested, and comparing with the existing database to obtain the quantity and the type of the protein in the host cell to be tested; dissecting the to-be-detected host cell to obtain the distribution condition of internal proteins of the to-be-detected host cell, and then obtaining the surface protein coverage rate of the to-be-detected host cell according to the distribution condition of the proteins and the quantity and the variety of the proteins in the to-be-detected host cell; the sample pretreatment method adopted by the invention is simple in process, low in cost and low in sample demand.

The present application relates to a kind of physical reinforcement neural network-based fabric constitutive parameter fast identification method, comprising the following steps: 1), the macroscopic tensile, shear and bending test are carried out to the fabric sample to be identified, while collecting microstructure image, obtain multiscale feature dataset;2), physical reinforcement neural network model forward inference: the multiscale feature dataset is input into pre-trained physical reinforcement neural network;3), the complete constitutive parameter vector of target fabric is inferred and output by physical reinforcement neural network model;4), physical consistency verification: with constitutive parameter vector as input, drive finite element simulation, compare quantitatively the mechanical response curve of simulation output and measured curve, if error exceeds threshold value, then trigger adaptive fine-tuning process;5), physical reinforcement neural network model is continuously trained and updated.The present application can realize the constitutive parameter identification of fast, small sample, high precision for new variety fabric.

The application discloses a human posture recognition system based on a wearable sensor and belongs to the technical field of sensor measurement. The human posture recognition system collects foot bottom pressure through a pressure sensor module, filters and denoises and performs smooth processing through a signal processing module, and wirelessly transmits sensor signals to an upper computer through a wireless transmission module. The upper computer adopts a hidden Markov algorithm and a random forest fusion algorithm to recognize postures. The system comprises a pair of flexible pressure sensor arrays, the sensor arrays are worn on the foot bottom to collect foot bottom pressure signals, the signal processing module is completed by the upper computer, the wireless transmission module selects a Bluetooth module, and the upper computer performs real-time recognition after training the model. The system improves the recognition rate, is high in adaptability, and is suitable for medical treatment, human-computer interaction, sports training and other fields.

The invention provides a probe, a freeze-drying reagent, a lateral flow chromatography test strip, a kit and a method for detecting DNase activity, and relates to the technical field of biology. Based on an antigen-antibody reaction and an immunochromatography technology, a DNA probe of which the 5'end is labeled with 6-carboxyl fluorescein and the 3 'end is labeled with biotin is adopted as a substrate, and when a sample to be detected contains DNase and is mixed with the substrate, the DNase can specifically recognize and cut a phosphodiester bond on the DNA probe, so that DNA fragmentation is caused. The test strip is inserted into the reacted reagent, when a sample does not contain DNase, the DNA probe is not subjected to enzyme digestion and is fixed on the quality control line to be combined with streptavidin, a red strip appears on the quality control line, and a test strip detection line does not develop color; when DNase exists in a sample, the DNA probe is subjected to enzyme digestion and is fixed on the detection line to be combined with the second antibody, and a red strip appears on the detection line.

The present invention provides a microfluidic analysis chip and a sample detection method. The microfluidic analysis chip includes: a chip body, in which at least two microfluidic channels are arranged at the top and bottom; a blood cell detection component, including: a first micropore; an impedance signal electrode pair; a signal acquisition start electrode pair; and a signal acquisition end electrode pair. The present invention adds a sample to be tested into a microfluidic channel, and uses the impedance signal electrode pair, the signal acquisition start electrode pair, and the signal acquisition end electrode pair to collect the impedance pulse signal of the sample to be tested within a certain period of time, and detects the blood cells in the sample to be tested according to the collected impedance pulse signal. The microfluidic analysis chip is small in size, requires less samples for detection, and does not require a separate waste liquid tank. The microfluidic analysis chip of the present invention realizes one-time sample addition and obtains the detection results of blood cells and proteins at the same time, which greatly simplifies the operation steps of clinical inflammatory infection diagnosis and detection projects and reduces the sample demand.

The invention relates to a method for detecting vitamins. The method comprises the following steps: pre-treating a sample, and carrying out liquid chromatography-tandem mass spectrometry detection on the pre-treated sample; the pretreatment method comprises the following steps: mixing a sample with water and an internal standard working solution, adding an extracting solution, centrifugally collecting a supernatant, drying, adding a reconstitution fluid, centrifugally collecting the supernatant; the internal standard working solution contains a precipitator, a vitamin standard substance, estriol and 2, 6-di-tert-butyl-4-methylphenol; the reconstitution fluid is prepared from methanol, estriol, 2, 6-di-tert-butyl-4-methylphenol and ammonium formate. According to the present invention, the vitamin A, the vitamin D (25-OH-D2, 25-OH-D3) and the vitamin E can be simultaneously detected, the specificity, the sensitivity and the accuracy are high, the sample demand is low, the derivatization treatment is not required, the operation is simple and convenient, and the popularization and the application are easily achieved.

The present invention relates to the technical field of aqueous humor antigen detection, and specifically to a kit and its application in detecting vascular endothelial growth factor in anterior chamber fluid, wherein the kit contains the following components which are stored independently: an enzyme reactant, a magnetic separation reagent, a stabilizing enhancer, a calibrator, a cleaning concentrate and a substrate solution. The kit provided by the present invention can accurately detect the content of vascular endothelial growth factor in anterior chamber fluid, has a small sample requirement, a short detection time, a wide linear range, and when mutant alkaline phosphatase is used as a magnetic particle blocking agent, the background value can be significantly reduced, thereby reducing the minimum detection limit of the reagent, and has important application value for the diagnosis of VEGF-related ophthalmic diseases.

The present invention discloses a method for detecting the petal type stability of a wire-drawn gerbera, and belongs to the technical field of screening gerbera varieties. The method comprises: (1) pre-treatment of materials to be tested; (2) low temperature treatment; (3) cultivation after low temperature treatment; and (4) counting the proportion of abnormally shaped petals. The present invention selects wire-drawn gerbera plants with suitable large and small buds, and combines the steps of treatment at different temperatures to induce wire-drawn gerbera to produce abnormally shaped petals. The stability of the petal type of wire-drawn gerbera varieties is determined according to the proportion of abnormally shaped petals. Compared with the field observation method with long detection time, large sample demand, and susceptibility to environmental conditions, the method of the present invention is simple and fast, and significantly improves the screening efficiency of wire-drawn gerbera varieties with stable filamentous petals.