26results about How to "Proven reliability" patented technology

The present application belongs to the technical field of oil exploration, and discloses a method for evaluating the development degree of sand-mudstone reservoir-cap assemblage, which specifically comprises the following steps: conducting regional data analysis for a study area, and mastering the core / cuttings data, logging data and oil testing and production testing data of drilled wells, as well as the seismic data and seismic interpretation horizon data of the whole work area; conducting pre-stack deterministic inversion based on Zeoppritz equation to obtain the data body of the ratio of P-wave velocity to S-wave velocity in the work area; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the sandstone layer interpreted by the seismic data to obtain the plan view of the sandstone reservoir; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the mudstone layer interpreted by the seismic data to obtain the plan view of the mudstone cap rock; quantifying the relative development degree of the reservoir-cap assemblage by a development degree index calculation formula, constructing the plan view of the development degree index of the sand-mudstone reservoir-cap assemblage, and quantitatively dividing the development degree of the reservoir-cap assemblage. The present application can clearly define the development range of high-quality reservoir-cap assemblage, delineate the favorable exploration area, and further guide the well site deployment of exploration wells.

The invention discloses a method for detecting macrolide antibiotics in a water body, which adopts a dispersive solid-phase extraction method and comprises the following steps: S1, synthesizing a material to obtain a metal organic framework material Ce-MOF of cerium; s2, sample collection: collecting river and lake water samples and transporting the river and lake water samples to a laboratory for analysis; s3, sample pretreatment; s4, analyzing the sample, detecting the macrolide antibiotics through a liquid chromatography tandem mass spectrometer, and adopting an ion electrospray positive ion mode ESI < + > and a multi-reaction monitoring MRM mode. Compared with traditional solid-phase extraction, the method has the advantages that the operation process is simplified, the complexity and time cost of sample treatment are reduced, the accuracy and repeatability are improved, the method is more environment-friendly, and the experimental detection cost is reduced.

The invention relates to an establishment method of hexestrol ic-ELISA (Enzyme-Linked Immunosorbent Assay). The establishment method comprises the following steps: (1) preparing HES-BSA (Human Estilbestrol-Bovine (2) preparing anti-HES (Hydroxyethyl Sulfonate) mAbs by using the HES-BSA; and (3) coating an ELISA plate by using a bicarbonate buffer solution and HES-OVA, incubating and sealing holes, adding anti-HES mAbs and the diluted free HES standard substance into a PBS solution, incubating, and adding GaM IgG-HRP, so as to obtain the hexestrol ic-ELISA. According to the establishment method of the hexestrol ic-ELISA provided by the invention, carboxyl is introduced, the hapten HES and the carrier protein are coupled to generate a complete antigen, and the anti-HES mAb is produced through HES-BSA immune animals and a hybridoma technology, so that the prepared hexestrol ic-ELISA is high in sensitivity and high in reliability, and the ic-ELISA is wide in application prospect when being applied to non-diagnostic purpose detection of the hexestrol.

The invention belongs to the field of biomedicine, and provides application of bile acid and derivatives thereof in prevention or treatment of intracranial aneurysm. The invention particularly relates to application of ursodesoxycholic acid and bile acid combined with ursodesoxycholic acid in preparation of drugs for preventing or treating intracranial aneurysm. According to the method, metabonomics analysis is carried out on a human blood sample, and the early warning effect of ursodesoxycholic acid and bile acid combined with ursodesoxycholic acid on intracranial aneurysm rupture is found; the verification of the influence effect of ursodesoxycholic acid and bile acid combined with ursodesoxycholic acid on the rupture probability of intracranial aneurysm in a mouse intracranial aneurysm model proves that the substance has a protective effect on intracranial aneurysm, namely the risk of intracranial aneurysm rupture is reduced; and an experimental basis is provided for the drug treatment of intracranial aneurysm and the reduction of clinical rupture risk.

The invention discloses a self-adaptive control method of a multivariable nonlinear system. The method comprises the following steps: constructing the multivariable nonlinear system comprising unknown parameters and an unknown high-frequency gain matrix; the model not only describes system behaviors through state, input and output vectors, but also introduces an unknown parameter matrix and a smooth nonlinear function to simulate complexity and nonlinear characteristics of the system. And further constructing an adaptive controller and a switching mechanism, and determining a control direction matrix through the adaptive controller and the switching mechanism, so that the output of the multivariable nonlinear system can accurately track the reference signal. According to the method, by introducing the self-adaptive tracking control law design, the limiting condition of a high-frequency gain matrix is relaxed, it is ensured that the system performance is good when the direction matrix is controlled to be switched, and high-precision tracking of a multivariable nonlinear system reference signal is achieved.

The invention provides a partitioned air pressure driven wearable breathing assisting robot which comprises a chest upper shell, a chest upper pressure suction cup film is arranged in the chest upper shell, and a right chest lower shell and a left chest lower shell are arranged below the chest upper shell. A left chest lower portion pressing suction cup film and a right chest lower portion pressing suction cup film are arranged in the left chest lower portion shell and the right chest lower portion shell respectively, and the left chest lower portion shell is connected with the chest upper portion shell through a left lateral driving air bag. The right thoracic cavity lower shell is connected with the thoracic cavity upper shell through a right lateral driving air bag; the left thoracic cavity lower shell and the right thoracic cavity lower shell are connected through a middle driving air bag; the abdomen structure comprises an abdomen driving air bag and pneumatic artificial muscles; according to the invention, more convenient, comfortable, efficient and safe treatment can be provided for clinical application, the external assisted respiratory rate can be improved, and the side effects and pains of patients can be reduced.

The application discloses a wear prediction method considering friction coefficient difference, and comprises the following steps: firstly, obtaining stable friction coefficients and evolution rules through friction and wear tests under different loads and frequencies; secondly, establishing a universal friction coefficient model, including a stable friction coefficient model and an evolution model of friction coefficients with cycle numbers; thirdly, based on an energy method, combining the friction coefficient model, and establishing an energy wear model considering friction coefficient difference; then, through a UMESHMOTION user subroutine and a cycle jump technology, realizing dynamic prediction of wear depth in finite element simulation; finally, verifying the accuracy of model prediction through tests. The application can accurately reflect dynamic changes of friction coefficients with loads, frequencies and cycle numbers, expands the application range of the energy wear model, significantly improves the wear prediction precision under complex working conditions, and has important theoretical significance and engineering application value.

The invention discloses a niobium-doped single crystal nickel-enriched ternary positive electrode material and a preparation method thereof. The niobium-doped single crystal nickel-enriched ternary positive electrode material comprises a nickel-enriched ternary positive electrode material, the chemical general formula of the nickel-enriched ternary positive electrode material is LiNi < x > Co < y > Mn < z > O < 2 >, wherein x ranges from 0.79 to 0.81, y ranges from 0.09 to 0.11, and z ranges from 0.09 to 0.11; the nickel-enriched ternary positive electrode material is of a single-crystal structure, and Nb < 5 + > ions are doped in crystal lattices of the nickel-enriched ternary positive electrode material. According to the single-crystal nickel-enriched ternary positive electrode material provided by the invention, the crystal boundary is eliminated in the single-crystal morphology, and particle cracking and electrolyte erosion in the circulation process are effectively inhibited; nb5 < + > is doped into crystal lattices, and due to the fact that the ionic radius of the Nb5 < + > is large, the Nb5 < + > serves as a supporting column, the lithium interlayer spacing is enlarged, the lithium ion migration energy barrier is reduced, meanwhile, the crystal structure is stabilized, and Li < + > / Ni < 2 + > cation mixed arrangement is reduced.

The application discloses a kind of multi-limb combined steel support node rotation stiffness calculation methods around weak axis, it is related to the technical field of deep foundation pit engineering and fabricated steel structure;The application decomposes the complex node structure into end plate, connecting plate, bolt group and other mechanical behavior clear core components, and calculates the stiffness of each component by using the component method, and then combines in series and parallel according to the classical mechanics principle, to achieve the technical effect of accurate physical modeling of the semi-rigid characteristics of the node and significantly improving the calculation efficiency.The method avoids complex nonlinear contact analysis, and the calculation formula is clear and easy to program.The calculation results of the method are compared with the full-scale model test results and the fine three-dimensional entity finite element analysis results, which achieves the technical effect of verifying that the calculation error of the method is within the acceptable range of engineering, and proves its reliability, solving the problem of insufficient accuracy of traditional empirical simplified method.

The invention discloses an automatic anterior tooth characteristic parameter extraction method and evaluation system based on computer vision, and the method comprises the steps: obtaining and visualizing a full oral cavity scanning image of a patient to be processed, intercepting a tooth part image corresponding to the full oral cavity scanning image, eliminating specular reflection by using a Gaussian blur method, and obtaining an anterior tooth part image; threshold values are set for the H channel, the S channel and the V channel respectively through a color segmentation method, teeth and gingiva in each tooth part image are separated and then subjected to morphological processing respectively, and tooth part contours and gingiva part contours are extracted through a contour extraction method; the segmentation precision is further refined through a Chan-Vese active contour model algorithm and an energy function in a tooth part contour, angular points are extracted through a Shii-Tomasi angular point detection method and then clustered, and other evaluation important feature points are extracted through curve fitting and an extreme value searching method. And finally, measuring and calculating tooth evaluation related objective indexes and automatically generating a corresponding tooth score, thereby completing automatic anterior tooth evaluation.

The invention discloses a measuring device based on a limited vortex structure under an expanded wall surface and application of the measuring device, the device comprises a motor measurement control device, and a rectifying device, an expanded wall surface limited vortex generating device and a frame structure which are arranged in a water tank, the frame structure is located on one side of the motor measurement control device, and the motor measurement control device is connected with the rectifying device. And the rectifying device positioned in the frame structure is fixedly connected with the output end of the motor measurement control device after being connected with the vortex generating device with the limited expansion wall surface, aiming at the defects that the influence of the expansion wall surface on the vortex ring is neglected in the prior art, and the principle of the vortex ring generating device is inconsistent with the practical application. By applying the device, the speed type of the moving wall surface is accurately controlled, vortex rings which stably grow in different modes are generated, the growth evolution process of the vortex structure can be synchronously measured and researched, the device has important significance on theoretical research of the vortex rings, and meanwhile, an experimental basis can be provided for parameter formulation and cylinder design of the heart function vortex structure.

The invention discloses a GaN / CuO heterostructure NO2 gas sensor based on single-layer Ti3C2Tx modification, and belongs to the technical field of preparation of gas sensitive materials. The invention firstly discloses a preparation method of a single-layer Ti3C2Tx modified GaN / CuO heterojunction material, and further prepares an NO2 gas sensor (GCT sensor) based on a single-layer Ti3C2Tx modified GaN / CuO heterostructure by taking the prepared heterojunction material as a gas sensitive material, and the sensor can be used for accurately and rapidly detecting ultra-trace NO2 gas in complex environmental pollutants. The response of the developed GCT sensor to 100 ppm NO2 gas at 60 DEG C reaches up to 37.73, the response / recovery time is about 13.7 / 17 s, and the GCT sensor has the ultralow theoretical detection limit of 49 ppt, which is the lowest in all reported NO2 sensors.

The invention relates to a severe weather target detection method based on multi-scale feature extraction and model quantification. The method comprises the following steps: 1) preprocessing an image; 2) fusing image information; 3) extracting image information; and 4) carrying out image feature prediction to obtain segmentation anchor points. The method can effectively process images in low-illumination and high-noise environments, accurately recognize target objects hidden in dark places, can accurately recognize targets in night images, improves the detection effect of the night images in dense fog weather, has weak influence on the model performance by image resolution differences, and improves the detection accuracy of the night images. And the model can keep a consistent detection effect under different image qualities.

The application discloses a kind of specimen damage real-time detection device and method thereof, the detection device includes square hollow test cavity, test cavity is provided with the opening for true triaxial hopkinson bar to pass through, the inside of test cavity is provided with the accommodating space of placing test body;The accommodating space is also provided with square acoustic wave transmitter and square acoustic wave receiver, and a plurality of shock absorbers for fixing acoustic wave transmitter and acoustic wave receiver;Test body is clamped by acoustic wave transmitter and acoustic wave receiver, the opposite surface of acoustic wave transmitter and acoustic wave receiver away from test body is all abutted on the inner surface of test cavity, one end of shock absorber is detachably arranged on the surface of acoustic wave transmitter and / or acoustic wave receiver perpendicular to clamping direction, the other end of shock absorber is detachably arranged on the inner surface of test cavity.The application does not need to unload test body, avoids further damage in rock interior, and can more accurately measure the real damage condition in test body interior.

The invention discloses a passion fruit heat resistance identification method, and belongs to the technical field of plant variety identification. The method comprises the following technical steps: (1) heat treatment; (2) index detection; (3) calculating a relative heat resistance index; (4) sequencing heat resistance; (5) grading heat resistance; and (6) heat resistance grade evaluation. According to the method, the heat resistance of the passion fruit can be identified more accurately through high-temperature treatment and normal-temperature contrast treatment and by combining measurement of various physiological and growth indexes (relative conductivity, soluble protein content, soluble sugar content, antioxidant enzyme activity, pollen germination rate, fruit bearing number of a single plant and fruit setting rate), and the relative heat resistance index S value is calculated according to the indexes, so that the heat resistance of the passion fruit can be identified more accurately. The heat resistance of the varieties is sequenced, evaluated and graded according to the relative heat resistance index S value, the heat resistance of the passion fruit varieties or germplasm resources can be evaluated objectively and accurately, and breeding of new heat-resistant varieties and popularization and application of dominant heat-resistant varieties are facilitated.

The present application belongs to the technical field of molecular medicine, and relates to a probe, a marker combination and a prediction method for non-invasive risk grading of neuroblastoma. The probe UUU-DZ-tFNA can detect UDG in vitro, cells, living bodies and plasma exosomes, and it is proved that UDG in plasma exosomes is closely related to the risk grading of NB. The plasma exosomes of NB patients are collected MYCN Whether to amplify, whether the tumor is metastatic, neuron-specific enolase content, lactate dehydrogenase content and plasma exosome UDG content are integrated, and a NB non-invasive risk grading prediction model is established through a machine learning algorithm. The optimal risk grading model is a neural network model. The area under the receiver operating characteristic curve of the combined model is improved by 5.2% compared with the optimal prediction result of the combined prediction model of the single clinical index, and the sensitivity and specificity are significantly improved. The present application has key clinical values for accurate grading of NB children, individualized treatment plan formulation and efficacy monitoring.

The invention discloses a hundred-nanometer inner surface roughness inter-laboratory comparison sample and a preparation and verification method, and belongs to the field of material surface topography analysis, and the hundred-nanometer inner surface roughness inter-laboratory comparison sample comprises the following steps: (1) preparing a titanium-containing metal film material as a comparison sample through a physical vapor deposition method; (2) roughly searching the characteristic area of the titanium metal film material sample to the position under a lens in a 1-time objective lens field of view, sequentially selecting objective lenses with 10-time, 20-time and 50-time amplification factors, continuously moving the sample, ensuring that the characteristic area of the titanium metal film material sample is kept under the lens, and marking by using a Vickers hardness tester; the preparation method has the beneficial effects that the comparison sample which is simpler and easier to obtain and has the average roughness within 100nm is prepared, and the reliability of the preparation method of the 100nm inner surface roughness inter-laboratory comparison sample is proved through verification.

The invention discloses a fault migration diagnosis method based on a multi-information reconstruction attention mechanism. The fault migration diagnosis method is specifically implemented according to the following steps: step 1, constructing a data set by adopting a sliding window method; 2, performing feature information extraction on the input data by using a feature extractor; 3, inputting the feature information extracted in the step 2 into an improved channel attention mechanism to realize extraction of model attention information; and step 4, respectively inputting the result of the attention mechanism into the classifier and the domain classifier, thereby realizing fault diagnosis. According to the method and the device, the problem of incomplete information observation of a channel attention mechanism in the prior art is solved. When an existing channel attention mechanism is used for processing fault diagnosis in a complex industrial system, the existing channel attention mechanism is often interfered by redundant information, so that the diagnosis accuracy is reduced.

The invention relates to the technical field of medical examination molecular diagnosis, and particularly discloses a fluorescence PCR (Polymerase Chain Reaction) detection method for cryptococcus neoformans. A group of brand new specific primers (CN-F and CN-R) and a TaqMan probe (CN-P) are designed aiming at a cryptococcus neoformans ITS1 + 5.8 S + ITS2 + LSUrRNA gene region, and an internal standard system taking barley Dhn10 gene as a template is introduced to carry out whole-process monitoring. The detection method of the integrated UDG anti-pollution system is established by optimizing and determining the optimal concentration ratio of the primer probe and the reaction procedure. The method has the advantages of high sensitivity, high specificity, excellent precision and excellent clinical inclusiveness, can be used for 100% detection of new cryptococcus neoformans variants, Glubii variants and heterozygotes thereof, and provides a reliable tool for rapid and accurate clinical diagnosis of cryptococcus neoformans infection.

The invention provides a finger vein image preprocessing method and system based on a super-resolution algorithm, and the method comprises the steps: obtaining an original finger vein image, inputting the original finger vein image into a preset super-resolution model, and outputting a high-resolution finger vein image; performing contrast enhancement based on the high-resolution finger vein image to generate a high-contrast image; performing finger rotation alignment and finger contour boundary extraction based on the high-contrast image to obtain a finger contour image; vein region registration is carried out according to the finger contour image, a gray level image is generated, binarization processing is carried out on the gray level image, and finger vein image preprocessing is completed. The problem that the existing finger vein image recognition precision is low is solved.

This invention relates to the field of medical materials technology, and discloses a biodegradable esophageal stent and its preparation method. The esophageal stent is woven from blended monofilaments. The raw materials for the blended monofilaments include polylactic acid, polycaprolactone, and additives, including polyethylene glycol, carbon nanofibers, star-shaped PLA-PCL block copolymer, and talc. The preparation steps are as follows: the raw materials are mixed in proportion, melt-blended and granulated, and then the blended monofilaments are obtained using a high-pressure capillary rheometer; the blended monofilaments are woven into a mesh-like stent framework on a mold using an interlaced pressing method, then heat-set, and demolded after cooling; a thermoplastic polyurethane casting liquid loaded with bioactive substances is cast into a film and coated onto the inner wall of the stent framework; the thermoplastic polyurethane film is heated to fuse with the stent framework, and after cooling, the esophageal stent is formed. The esophageal stent of this invention has good mechanical properties, controllable degradation characteristics, and biocompatibility.

This invention provides a strain of *Lactobacillus fermentatus* and its applications, belonging to the field of microbial technology. The *Lactobacillus fermentatus* strain is named *Lactobacillus fermentatus* JMS-ZY and is deposited at the China General Microbiological Culture Collection Center (CGMCC) with accession number CGMCC No. 37637. This invention also provides the application of this strain in reducing xanthophoretic compounds in Sichuan pepper seed meal. Specifically, activated *Lactobacillus fermentatus* JMS-ZY seed culture is inoculated into raw Sichuan pepper seed meal, and the moisture content and inoculation amount are adjusted. Solid-state fermentation is carried out at a suitable temperature. After fermentation, the product is dried and pulverized to obtain Sichuan pepper seed meal with low xanthophoretic flavor. This invention utilizes a specific *Lactobacillus fermentatus* strain for solid-state fermentation of Sichuan pepper seed meal, which can effectively degrade xanthophoretic compounds, thereby improving the palatability of the Sichuan pepper seed meal and increasing its utilization rate as a feed ingredient. This method is simple, green, and safe, providing a new approach for the resource utilization of Sichuan pepper seed meal.

The invention relates to the technical field of traditional Chinese medicine preparations, and particularly discloses a traditional Chinese medicine composition for treating diabetic nephropathy and application thereof. The traditional Chinese medicine composition is prepared from the following ten medicinal materials according to a specific ratio: radix rehmanniae recen, astragalus membranaceus, golden cypress, coptis chinensis, gastrodia elata, cicada slough, salvia miltiorrhiza, chinaroot greenbrier, rosa laevigata michx and motherwort. Systematic animal experiments and clinical researches prove that the Zuogui blood-glucose-reducing kidney-pleasing formula can effectively reduce fasting blood-glucose of diabetic nephropathy model mice, improve lipid metabolism disorder, remarkably reduce the levels of urea nitrogen, creatinine and uric acid and the ratio of urine protein to creatinine, and can be used for treating diabetic nephropathy by inhibiting expression of fibrosis-related factors such as TGF-beta and alpha-SMA. The renal fibrosis process is delayed. Compared with the prior art, the pharmaceutical composition provided by the invention has remarkable advantages in the aspects of improving renal functions, inhibiting renal tissue fibrosis and delaying the development of diabetic nephropathy.

The present invention discloses a circRNA marker, a kit and an application thereof for diagnosing and evaluating myocardial aging. The application of the circRNA marker includes one or more of the following applications: A1) application in the preparation of a product for diagnosing myocardial aging; A2) application in the preparation of a product for screening myocardial aging; A3) application in the preparation of a product for treating myocardial aging; A4) application in the preparation of a product for evaluating myocardial aging; A5) application in the preparation of a product for distinguishing myocardial aging from other heart diseases; the circRNA marker is hsa_circ_0120829, and the nucleotide sequence is shown in SEQ ID No.1.

The present invention discloses two sets of CRISPR libraries (MiTCL-L, 2796 genes; MiTCL-S, 273 genes), uses a variety of different immunodeficient mice for high-throughput screening, and finds key genes that play an immune escape role in the microenvironment of triple-negative breast cancer (TNBC), laying an important theoretical and experimental foundation for the discovery of new immunotherapy targets, which is conducive to breakthroughs in the immunotherapy of triple-negative breast cancer. The candidate genes screened and discovered by the present invention include the confirmed immune heterogeneity star genes LAG3 and CD38, confirming the reliability of the screening platform.

The invention relates to the technical field of environment detection, in particular to a fluorescence spectrometry for measuring the molecular weight of naturally dissolved organic matters. The fluorescence spectrometry method for measuring the molecular weight of the naturally dissolved organic matter comprises the following steps: (a) preparing a naturally dissolved organic matter measured solution and a background solution; (b) selecting a fluorescence peak position of a titration experiment; (c) carrying out fluorescence quenching titration on naturally dissolved organic matters; (d) fluorescence determination of the background solution; and (e) calculating the molecular weight of the naturally dissolved organic matters. The method is simple to operate and low in requirements on equipment and operation skills, and results of the method are accurate and reliable according to model compounds of natural dissolved organic matter molecules such as tyrosine and natural dissolved organic matter standard samples.