5results about How to "Fast detection method" patented technology

The present application provides a SNP molecular marker related to wet damage tolerance of Brassica napus and application thereof, wherein the sequence of the SNP molecular marker is shown as SEQ ID No. 1, and an A / G base mutation exists at 11872958 of the sequence shown as SEQ ID No. 1. The SNP molecular marker provided by the present application is based on a competitive allele-specific PCR marker detection method, and is used for detection and identification of the wet damage tolerance trait of Brassica napus. The detection method is simple in operation, low in cost, accurate in detection result, good in repeatability and stability, and different detection laboratories and different data results can be compared and verified with each other, and the data has universal comparability.

The application of the biomarker combination in the preparation of a drug for fulminant myocarditis belongs to the field of drugs. The application is characterized in that the biomarker combination comprises Siglec-5; the biomarker combination is further selected from the group consisting of sST2, PAI-1, Siglec-5, CD163, CD40, P-Cadherin, CD14, CTLA4. The application finds that the expression of the biomarker in the plasma of a patient with fulminant myocarditis is increased, and confirms the role of the biomarker as a drug target in relieving and / or improving fulminant myocarditis. The level of the biomarker can be controlled by a drug, the diagnosis and subsequent treatment of the disease can be more intensified, and the biomarker has great application value in clinical practice.

The application relates to the field of crystal structure symmetry classification and retrieval, and specifically discloses a crystal structure symmetry determination and retrieval method using electron diffraction, which comprises the following steps: a multi-view selected area electron diffraction data input module is used to acquire a two-zone axial diffraction spectrum and perform pretreatment; a symmetry feature coding module is used to extract a single-view descriptor through a double-branch convolutional neural network, to obtain a material descriptor through view pooling fusion; a hierarchical symmetry classification module is used to realize hierarchical classification of crystal systems and space groups, and to guarantee the logic of the results through consistency constraints; a high-dimensional feature embedding and database construction module is used to standardize crystal structure files, to generate descriptors, and to construct a vector database; and a constrained structure retrieval module is used to combine the classification results and user constraints to filter candidate structures, and to complete retrieval through cosine similarity. The application solves the problems of poor generalization, insufficient multi-view feature fusion and inability to associate a crystal library in the prior art, and realizes full-process automation of crystal structure symmetry classification and retrieval.

The invention discloses a plant physiological status monitoring method and application thereof, and the monitoring method comprises the following steps: building an array contact unit on the surface of a plant tissue to be detected, and building electrical contact for the array contact unit; applying electrical stimulation of different frequencies to the to-be-tested plant tissue of the contact unit which establishes the electrical contact so as to establish a simulation equivalent circuit, and collecting response current signals generated corresponding to different frequencies; calculating an impedance value under each frequency according to the collected response current signal, obtaining an electrochemical impedance spectrum, and establishing a multi-dimensional data set of the corresponding frequency; extracting characteristic parameters from the multi-dimensional data set to obtain electrochemical characterization signals; the electrochemical characterization signal is compared with a standard signal model, the physiological state change of the plant tissue to be detected is recognized according to a result, an electrochemical impedance spectrum of the plant is obtained by establishing array type electrical contact and applying multi-frequency electrical stimulation, physiological state abnormity is recognized earlier, and the method is used for early monitoring of plant biological or abiotic stress response.

The application of the biomarker combination in the preparation of a drug for fulminant myocarditis belongs to the field of drugs. The application is characterized in that the biomarker combination comprises Siglec-5; the biomarker combination is further selected from the group consisting of sST2, PAI-1, Siglec-5, CD163, CD40, P-Cadherin, CD14, CTLA4. The application finds that the expression of the biomarker in the plasma of a patient with fulminant myocarditis is increased, and confirms the role of the biomarker as a drug target in relieving and / or improving fulminant myocarditis. The level of the biomarker can be controlled by a drug, the diagnosis and subsequent treatment of the disease can be more intensified, and the biomarker has great application value in clinical practice.