8results 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 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 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 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 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.

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.

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.