28results about How to "Improve research" patented technology

The invention belongs to the technical field of cell biology, and particularly relates to a method for detecting cell stability, a cell sample is detected in three aspects of cell performance, cell mutation and cell stability, and when the cell proliferation effect is good, the cell does not migrate, and the cell activity is gt; the cell of which the cell concentration is 80%, the cell early-stage and late-stage apoptosis ratio is less than or equal to 10%, the cell autophagy ratio is less than 5%, no proto-oncogene is remarkably expressed, the cell aging ratio is less than or equal to 20% and the cell multiplication time is less than 48 hours is a stable cell; if one of the indexes does not reach the standard, it is determined that cell passage is unstable, and the cell culture process is stopped. The method provided by the invention can comprehensively judge the life cycle of the cell, so that the cell is applied to the optimal economic / efficient service life, the cell state can be effectively and accurately judged, and the method has good reliability.

The invention discloses lead-free perovskite Cs2NaHoBr6 as well as a fractal structure, a preparation method and application thereof, and belongs to the technical field of photoluminescence and fractal crystal growth. The lead-free perovskite Cs2NaHoBr6 is successfully synthesized through a novel solvent boiling method, and compared with a traditional fluorescence thermal quenching perovskite material, the lead-free perovskite shows thermally enhanced red light and near infrared light emission under excitation of ultraviolet light, blue light and near infrared light, has up-conversion and down-conversion luminescence capabilities, and can be used for preparing a luminescent material. The emission peak intensity is in positive correlation in the range of 293-593 K, and an abnormal heat quenching resistance behavior is shown. Cs2NaHoBr6 powder is dissolved in an anti-solvent, and a fractal structure pattern with preferred orientation and self-similarity characteristics is prepared by using an in-situ solution crystallization method, so that the temperature sensing performance of the compound is remarkably improved, the relative sensitivity of the compound is enhanced from 1.14% K <-1 > to 2.60% K <-1 >, and the compound shows a good application prospect in the aspect of non-contact optical temperature measurement.

The invention relates to the technical field of computers, in particular to a traditional Chinese medicine prescription indication prediction method, which comprises the steps of collecting a data set of a relationship between an existing traditional Chinese medicine prescription and a corresponding indication, preprocessing the data set, and training a corresponding prediction model based on the preprocessed data set; obtaining to-be-predicted new traditional Chinese medicine prescription data, inputting the preprocessed new traditional Chinese medicine prescription data into the trained prediction model, obtaining a corresponding prediction result, and generating a corresponding traditional Chinese medicine prescription treatment scheme based on the prediction result; the method comprises the following steps: in a process of treating a patient with indications based on a traditional Chinese medicine prescription treatment scheme, obtaining latest biomics data of the corresponding patient, monitoring the patient to obtain a corresponding treatment effect, and adjusting the traditional Chinese medicine prescription treatment scheme based on the latest biomics data and the treatment effect. According to the scheme, the prediction precision of the indications of the traditional Chinese medicine prescription is improved.

The invention discloses a method for extracting characteristic parameters of an electromagnetic field in a plume propagation path based on a visual model, and the method comprises the steps: employing SPIS simulation software according to the working state of a Hall thruster, introducing macro particles based on a PIC algorithm, and obtaining a plume distribution model diagram through calculation; extracting the plume density of each grid in the plume distribution model graph, converting a color image of the plume distribution model into a gray level image, and drawing an isodensity line for the color image by distinguishing the gray level of the image to obtain the density of the plume in different transmission paths; on the basis of collision in plume, a Dyde model is adopted to represent a relative dielectric constant; the same relative dielectric constants are divided into one layer, a layered structure is adopted to build a transmission model of electromagnetic waves in plume, electromagnetic solving is carried out, and electromagnetic wave transmission characteristic parameters are obtained. According to the invention, the characteristic parameters of the electromagnetic waves in the plume propagation path can be efficiently and accurately obtained, so that the related research and application effects of the Hall thruster can be improved.

The invention discloses a molecular marker and a primer for detecting a leaf rust resistant gene of wheat and application of the molecular marker and the primer. The method is not influenced by external environmental factors and is simple and convenient to operate. Primers of molecular markers Lsdau-33 and Xsdau3829 in close linkage with the wheat leaf rust resistance gene are utilized, PCR amplification electrophoresis detection is carried out, germplasm materials carrying the wheat leaf rust resistance gene can be screened out according to the size of a target band, the molecular marker can accelerate research and utilization of the excellent wheat leaf rust resistance gene, and the application prospect is wide. A new material is provided for wheat disease-resistant genetic improvement.

The present invention belongs to the field of artificial neural networks and human brain simulation, and specifically relates to a multi-scale human brain simulation system that integrates data, structure, mechanism and behavior, which aims to solve the problem that the existing technology cannot take into account both the simulation of large-scale whole-brain neural networks and the fine simulation of neuronal discharge activities in brain regions. The system includes: a database construction module, configured to collect brain image data and build a storage database; a cortical column model construction module, configured to build a multi-layer cortical column model of the corresponding brain region; a full-scale model construction module, configured to combine the human brain connection map in the storage database and the multi-layer cortical column model of each brain region, connect the brain regions, and obtain a full-scale model; a model training module, configured to train the full-scale model; a simulation module, configured to simulate neural activities through a trained full-scale model. The present invention achieves the balance between the simulation of large-scale whole-brain neural networks and the fine simulation of neuronal discharge activities in brain regions.

The invention relates to a metal oxide loaded monatomic Ru catalyst and a preparation method and application thereof, the preparation method comprises the following steps: mixing salt of metal M with a grinding aid, and then carrying out ball milling to obtain a metal oxide precursor; calcining the metal oxide precursor to obtain a metal oxide MOx; and dissolving the metal oxide MOx in deionized water, adding a ruthenium source and 6-aminocaproic acid under oil bath heating, mixing, adding sodium borohydride, continuously stirring until the reaction is completed, and then washing and drying to obtain the metal oxide loaded monatomic Ru catalyst Ru SAs / MOx. According to the method, the 6-aminocaproic acid is used for assisting the NaBH4 reduction method, monatomic-scale Ru is constructed on the surface of the metal oxide, high-temperature reducing gas calcination is not needed, the method is simple and rapid, the requirements for equipment and raw materials are low, the economic effect is high, Ru is evenly dispersed on the surface of the oxide carrier and does not form clusters, and a large amount of Ru monatomic loaded oxide carriers can be rapidly prepared.

The invention discloses a wheat powdery mildew resistance gene linked molecular marker, a primer combination and application. The molecular marker is closely linked with the powdery mildew resistant gene, can be directly applied to wheat powdery mildew resistant production practice, provides technical support for breeding a wheat improved line carrying the powdery mildew resistant gene, and can improve the efficiency of molecular marker-assisted selection, thereby accelerating the research and utilization of the good powdery mildew resistant gene of wheat. And a new material is provided for wheat disease-resistant genetic improvement. In addition, the method has the advantages of being not affected by external environmental factors, easy and convenient to operate and the like.

The invention discloses a bicontinuous phase electrolyte mechanical-electrical performance prediction model construction method, which belongs to the field of solid electrolytes, and is mainly used for predicting mechanical performance, electrochemical performance and mechanical-electrical coupling performance of bicontinuous phase solid electrolytes with geometric characteristics such as different porosities and pore diameters. The preparation method comprises the following steps: firstly, preparing bicontinuous phase solid electrolyte samples with different geometrical characteristics such as porosity and aperture by changing a ratio, and then carrying out structural characterization, mechanical property characterization and electrochemical property characterization on the prepared samples; carrying out three-dimensional entity modeling on the sample piece, and carrying out simulation analysis to obtain required simulation parameters; finally, the relation between the porosity and the pore size and the mechanical property efficiency, the electrochemical property efficiency and the multifunctional efficiency and the relation between the porosity and the average pore size and the mechanical-electrical property change rate are fitted through simulation parameters; and predicting the change rule of the mechanical-electrical performance efficiency and the performance of the bicontinuous phase solid electrolyte under different proportions or geometrical characteristics.

The invention relates to the technical field of non-full-flow pipeline measurement, and provides a sewage pipeline silting hydrodynamic force simulation measurement device and a silting state measurement method, the sewage pipeline silting hydrodynamic force simulation measurement device comprises an upstream vertical shaft, a downstream pool, an experiment pipeline, a water return pipeline, a water inlet pipeline, a batch feeder and a camera; the upstream water shaft is located at the upper end of the experimental pipeline, and the downstream water tank is located at a tail end outlet of the experimental pipeline; an observation camera is arranged above the experiment pipeline; a gradient adjusting device is arranged below the base; the batch feeder is arranged on the experimental pipeline close to the upstream vertical shaft; and the water return pipeline is connected with the upstream vertical shaft and the downstream water tank. A half-pipe open channel is used as an experimental pipeline for studying non-full pipe flow, a camera is matched to record the whole process of silting change in the pipe, and collected video information is converted into feature data through an image recognition technology; the situation that the state in the pipe is observed only through side glass in a traditional organic glass pipeline experiment is avoided.

The invention discloses a linked molecular marker and primer combination for detecting a stripe rust resistant gene of wheat and application of the linked molecular marker and primer combination. The method is not influenced by external environmental factors and is simple and convenient to operate. A primer of the molecular marker S-61635 in close linkage with the wheat stripe rust resistance gene is utilized, PCR amplification electrophoresis detection is carried out, germplasm materials carrying the wheat stripe rust resistance gene can be screened out according to the size of a target stripe, the molecular marker can accelerate research and utilization of the excellent wheat stripe rust resistance gene, and the application prospect is wide. A new material is provided for wheat disease-resistant genetic improvement.

The application relates to the field of noise reduction technology and discloses a spiral acoustic black hole noise reduction module and a design method thereof, which comprises a shell layer, an acoustic black hole cavity and a neck pipe; the shell layer is used for wrapping the acoustic black hole cavity to form a closed space; the acoustic black hole cavity comprises an acoustic black hole cavity plate curved according to an Archimedes spiral line and a rib plate array; the neck pipe is arranged at the rotation center position of the spiral line track of the acoustic black hole cavity plate, and the neck pipe is a sound wave incidence pipe; the rib plate array comprises a plurality of rib plates arranged in an increasing or decreasing length; one end of each rib plate is fixed to the inner side of the acoustic black hole cavity plate, and the other end is a free end; the rib plates are arranged at equal arc lengths / distances, and the lengths are arranged in a monotonically decreasing or increasing rule to form an acoustic black hole structure. The application realizes the sound absorption effect of ultralow frequency with a small size, reaches a sound absorption peak under specific frequency, and enhances the sound absorption effect of the sound absorption device in a specific frequency band.

The application discloses a key amino acid induced new crystal form of linagliptin based on protein-drug interaction structure mining and a preparation method thereof; and the technical scheme is that key amino acids are introduced into a solvent crystallization system of linagliptin to induce five new crystal forms of linagliptin; the preparation method does not need to use a large amount of organic solvents, has the characteristics of being simple, precise and efficient, has strong crystal form regulation capacity, is energy-saving, environment-friendly and safe, and is easy to realize green industrial production.

The application discloses a kind of based on physical information neural network's fault rolling bearing angular domain model construction method and system, method includes: the instantaneous angular displacement sequence and the encoder instantaneous angular velocity signal collected to physical information neural network is input, the initial value of setting dynamics parameter;Bearing dynamics model is embedded in the training process of network, solve the angular variable vibration displacement of fault bearing three degrees of freedom angular domain dynamics equation group, calculate disturbance torque;Physical loss is constructed;The residual of actual IAS is used as true value loss, and the overall loss is calculated in combination with physical loss;The accurate estimation value of dynamics parameter is obtained by network, it is input into the IAS response under different fault types and working conditions in fault bearing dynamics model;The expansion of the sample of fault diagnosis data set sample is completed using the generated sample obtained. It is used to improve the imbalance intelligent diagnosis problem that normal sample amount is far more than fault sample under actual working condition, and the IAS signal sample of fault bearing is supplemented.

The present invention discloses a strain of Enterococcus mundtii and its application. It belongs to the technical field of probiotics. A strain of Enterococcus mundtii is separated and identified by traditional identification methods and molecular biological methods, and its probiotic performance and in vivo safety evaluation are performed. At the same time, microbiology is combined with pathology, etc., and it is found that oral administration of the bacteria can reduce organ lesions in mice caused by Salmonella, and can produce antagonistic effects on Salmonella in mice. The present invention can not only expand the research on the genus Enterococcus, but also provide a reference basis for the future development of probiotic microecological preparations for promoting digestion and growth in animals, antagonizing pathogens, and regulating intestinal microecological environments.

The invention discloses a linked molecular marker and primer for detecting a wheat Puccinia stelleriana gene and application. The method is not influenced by external environmental factors and is simple and convenient to operate. Primers of molecular markers K-71551 and K-71810 in close linkage with the wheat Puccinia graminis resistance gene are utilized, PCR amplification electrophoresis detection is carried out, germplasm materials carrying the wheat Puccinia graminis resistance gene can be screened out according to the size of a target band, the molecular marker can accelerate research and utilization of the excellent resistance gene of the wheat Puccinia graminis, and the application prospect is wide. A new material is provided for wheat disease-resistant genetic improvement.

The present invention discloses a method and system for managing the battery charging state of a new energy vehicle based on artificial intelligence, and the method includes data collection, data preprocessing, charging demand prediction, charging strategy optimization and charging safety management. The present invention relates to the technical field of battery management for new energy vehicles, and specifically refers to a method and system for managing the battery charging state of a new energy vehicle based on artificial intelligence. The present solution adopts a battery charging state management method that combines long-term and short-term charging demand prediction with charging strategy optimization. By comprehensively predicting the demand for battery charging and the specific strategy for battery charging, and considering the user's personal charging strategy, the intelligence and feasibility of the method are improved; an integrated classification method combining modal decomposition time series convolution and long-term and short-term memory is used to predict charging demand; and a reinforcement learning method for multi-objective optimization of charging strategy is used to optimize charging strategy.

The invention discloses a wheat gibberellic disease-resistant gene linked molecular marker, a detection primer and application. The molecular marker Z-538 is linked with a gibberellic disease-resistant gene, can be directly applied to wheat gibberellic disease-resistant production practice, provides a technical support for breeding a wheat improved line carrying the gibberellic disease-resistant gene, and can improve the efficiency of molecular marker-assisted selection, thereby accelerating the research and utilization of the excellent wheat gibberellic disease-resistant gene, and having a wide application prospect. And a new material is provided for wheat disease-resistant genetic improvement. In addition, the method has the advantages of being not affected by external environmental factors, easy and convenient to operate and the like.

A fault-tolerant verification system and method supporting software and hardware fault injection and voting, wherein the fault-tolerant verification system supporting software and hardware fault injection and voting comprises fault injection management software, a power management module, a fault injection device, a simulation device and an entity device. The fault-tolerant verification method supporting software and hardware fault injection and voting is performed by means of the above system. A suitable fault model is established, and meanwhile, it is ensured that the faults of the verification system will not cause damage to the real device.

The invention discloses a microfluidic liquid drop detection method and system based on an improved SAM model, and belongs to the technical field of microfluidics. Comprising the following steps: acquiring a microfluidic droplet image; processing the micro-fluidic liquid drop image through a trained improved SAM model to obtain a micro-fluidic liquid drop counting image; processing the micro-fluidic droplet counting image through image processing software to obtain the number of micro-fluidic droplets; wherein the improved SAM model performs point-by-point product calculation on the input image embedding through a lightweight mask decoder by using a token updated through self-attention calculation and cross attention calculation, and adds a position code for the image embedding in the calculation process. The accuracy and the reliability of counting the micro-fluidic liquid drops can be improved, and the problems of misrecognition and counting errors caused by noise interference, fuzzy boundary of the liquid drops in an image and lower contrast ratio of the liquid drops to the background in the existing micro-fluidic liquid drop detection are solved.

This invention belongs to the field of fluorescent and antibacterial carbon nanomaterials technology, specifically relating to a method for preparing and applying fluorescent carbon quantum dots using apigenin as the carbon source. Apigenin powder is dispersed in a 0.01-1M KOH solution via ultrasonic dispersion, then transferred to a high-pressure reactor for hydrothermal reaction. After heating, the mixture is naturally cooled to room temperature. The reaction product is then filtered and freeze-dried to obtain apigenin carbon quantum dot powder. The obtained apigenin carbon quantum dots exhibit antibacterial properties against Staphylococcus aureus and Escherichia coli under ultraviolet light irradiation. This invention offers a low-cost and simple method, producing carbon quantum dots with strong luminescence, good water solubility, stable luminescence at alkaline pH, and highly efficient photodynamic antibacterial properties, showing broad application prospects in the biological field.

The invention discloses a method for screening protein allosteric modulators by observing the size change of micron-sized protein vesicles through a light microscope, which is characterized in that the conformation change condition of protein molecules forming the vesicles is deduced according to the size change of the micron-sized protein vesicles, so that the protein allosteric modulators are screened. Calmodulin (CaM) and Src homologous 2 domain-containing protein tyrosine phosphatase (SHP2) verify that real-time visual in-situ size tracing can be performed on the vesicles through an optical microscope, screening of the protein allosteric modulators is realized, precise instruments or fluorescence labeling is not needed, the method is simple, convenient and efficient, the research and application direction of the vesicles is widened, and the application prospect is wide. The development of a targeted drug taking a protein allosteric modulator as a core is facilitated; the micro-fluidic chip method used in the invention can accurately prepare the micron-sized protein vesicles with uniform size, and is beneficial to screening of a protein allosteric regulator according to the size change of the vesicles.

The utility model provides an experimental device based on multi-thermal process research. The experimental device comprises an experimental assembly, a temperature control assembly and a ventilation assembly, the experiment assembly comprises a container used for accommodating gas; wherein the container is communicated with the ventilation assembly so as to replace gas in the container; at least part of the piston mechanism is movably embedded in the container, so that the piston mechanism reciprocates relative to the container under the action of driving force; the limiter is arranged on the inner wall surface of the container and is in movable contact with the embedded part of the piston mechanism; the vernier is positioned outside the container and is opposite to the piston mechanism so as to measure the displacement of the piston mechanism; wherein the temperature control assembly is configured to regulate and measure the real-time temperature in the container, and the ventilation assembly is configured to measure the real-time pressure in the container so as to cooperate with the experiment assembly to research at least one thermodynamic process of the gas. By means of the experimental device, experimental research of various thermodynamic processes of different gases is conveniently achieved.

This invention discloses a 6K liquid-phase breeding chip for broccoli, its dedicated single nucleotide polymorphism (SNP) variant sites, and its applications. The 6K liquid-phase breeding chip provided by this invention includes a probe combination for detecting 5971 SNP variant sites in the broccoli genome. The location information of the probe corresponding to each SNP variant site in the broccoli reference genome is shown in Table 3 of the specification. The SNP variant sites involved in the liquid-phase breeding chip provided by this invention have advantages such as high polymorphism, good repeatability, stable and reliable labeling, and ease of statistical analysis. This invention can also establish a DNA fingerprint database based on the liquid-phase breeding chip for identifying the authenticity of broccoli varieties. It can be used for identifying the authenticity of broccoli varieties, early breeding and identification of broccoli varieties, identification of broccoli seed resources, and provides technical support for enriching broccoli germplasm resources, breeding new varieties, and protecting new varieties, with broad application prospects.

The present invention discloses a strain of Bacillus licheniformis and its application. It belongs to the technical field of probiotics. A strain of Bacillus licheniformis is separated and identified by traditional identification methods and molecular biological methods, and its probiotic performance and safety in animals are evaluated. At the same time, microbiology is combined with pathology, etc., and it is found that oral administration of the bacteria can reduce organ lesions in mice caused by Salmonella, and can produce antagonistic effects on Salmonella in mice. The present invention can not only expand the research on Bacillus, but also provide a reference basis for the future development of probiotic microecological preparations for promoting digestion and growth in animals, antagonizing pathogens, and regulating intestinal microecological environments.

The invention relates to the technical field of bearing faults, in particular to a variable-speed bearing fault diagnosis method based on a wavelet-driven physical interpretable network. Comprising the following steps: acquiring a bearing fault signal sample by using an acceleration sensor, and calculating a time-frequency diagram of a vibration signal by adopting short-time Fourier transform; extracting an instantaneous rotating speed from the time-frequency diagram of the vibration signal by adopting a local peak search algorithm; the time domain fault vibration signal is converted into a frequency domain signal by adopting fast Fourier transform (FFT); on the basis of the extracted instantaneous rotating speed information, constructing a learnable wavelet-driven physical interpretability network LWPI and training the learnable wavelet-driven physical interpretability network LWPI; fault diagnosis is realized through the trained LWPI network; by means of the signal processing technology, the convolutional neural network is endowed with certain physical significance, meanwhile, the rotating speed information is fused into construction of the convolutional neural network, the bearing fault diagnosis precision under the variable speed condition is improved, and the research and economic production efficiency is improved.

The application discloses a nimodipine crystal form and an inducing method thereof, and has the technical scheme that a trace amount of an organic solvent is added into nimodipine, grinding beads with different diameters are put into the nimodipine, the crystal form is induced and changed by grinding, and a new crystal form is obtained after drying; the method controls the material and size of the grinding beads, adjusts the kinetic process of the crystal form change, and remarkably improves the purity and stability of the target crystal form; the amount of the organic solvent used is extremely low, the green pharmaceutical principle is met, the process is simple, the repeatability is good, and the method is suitable for industrial production.

This invention discloses a method for producing toxic proteins and its applications, belonging to the fields of genetic engineering and biotechnology. The method includes: constructing a fusion expression vector containing a domain capable of mediating biomolecular phase separation and an antimicrobial peptide gene; transforming the fusion expression vector into *Corynebacterium glutamicum*, culturing the transformed *Corynebacterium glutamicum* to express the fusion protein and form a membraneless organelle; collecting the cultured bacterial cells and extracting the antimicrobial peptide. This invention utilizes the principle of biomolecular phase separation, isolating the antimicrobial peptide from the host cell by forming a membraneless organelle, effectively increasing the expression level of the antimicrobial peptide in *Corynebacterium glutamicum*. This method can be applied to the production of various antimicrobial peptides.