15results about How to "Good reference value" patented technology

The invention relates to application of seroalarm as a biomarker in predicting the curative effect of a JAK inhibitor on alopecia areata. Particularly, S100A8 / A9 and S100B are the most preferable biomarkers, and the curative effect of the JAK inhibitor on alopecia areata can be effectively predicted by detecting the concentration of the biomarkers in the serum of an alopecia areata patient, so that valuable reference is provided for selection of an alopecia areata treatment scheme.

The invention provides a preparation method of a low-dielectric polyimide heat-conducting film, and belongs to the technical field of preparation of heat-conducting composite materials, the preparation method of the film comprises the following steps: 1) carrying out stripping modification on hexagonal boron nitride by utilizing an ultrasonic-assisted organic solvent alcoholysis reaction; 2) preparing a polyamide acid solution; and (3) adding the modified boron nitride dispersion liquid into the polyamide acid solution, uniformly mixing, coating the obtained mixed solution to form a film, and finally carrying out thermal imidization treatment, wherein the adding amount of the modified boron nitride is 5-20 wt% of the solid content of the polyamide acid solution, and the prepared composite film has low dielectricity and relatively high heat conductivity coefficient and can meet the requirement of a heat management material in electronic packaging equipment.

The invention discloses application of an F-box gene OsFBX49 to brown planthopper resistance of rice, and belongs to the technical field of plant genetic engineering. The amino acid sequence of a protein encoded by the gene OsFBX49 is as shown in SEQ ID NO. 1. According to the invention, through agrobacterium-mediated genetic transformation, the OsFBX49 gene is transferred into insect-sensitive rice, and the result shows that the resistance of a plant over-expressing the OsFBX49 gene to brown planthopper is enhanced. After the brown planthopper eats the transgenic plant, the survival rate of the brown planthopper is obviously reduced, the weight of the brown planthopper is increased, and the amount of secreted honeydew is obviously reduced. The gene provided by the invention provides a basis for research on interaction of rice and brown planthopper genes, and has reference significance for research on gene molecular functions and breeding.

The invention discloses application of a rice brown planthopper resistant gene OsCYT2 in rice brown planthopper resistance, and relates to the technical field of brown planthopper resistant transgenic rice. According to the invention, through agrobacterium-mediated genetic transformation, the OsCYT2 gene is transferred into an insect-susceptible rice variety Nipponbare, and the resistance of a plant over-expressed with the OsCYT2 gene to brown planthopper is enhanced. After the brown planthopper eats the transgenic plant, the survival rate of the brown planthopper is reduced, the weight gain of the brown planthopper is reduced, and the amount of secreted honeydew is reduced. The new insect-resistant function of the gene OsCYT2 found by the invention has reference significance for researching gene molecular functions and breeding.

The utility model provides a track vibration isolation mat simulation detection device, including a plurality of elastic support components, lower basic simulation board, track board simulation board, vibration loading mechanism and vibration acceleration sensor, the vibration isolation mat sample of waiting for detecting is arranged between lower basic simulation board and track board simulation board, therefore can simulate actual vibration isolation mat floating plate track structure well, and the vibration isolation mat performance that detects obtains is very close to its performance in actual track, has very good reference value. Besides, through setting a plurality of elastic support components below lower basic simulation board, and setting vibration acceleration sensor on it, can take the vibration energy that vibration loading mechanism loads as input energy, take the elastic potential energy of elastic support component that vibration acceleration sensor detects as output energy, and evaluates the performance of vibration isolation mat based on input energy and output energy, compares with the traditional track lower basic vibration level difference method more intuitive and simple.

The invention provides a structural system identification method based on Bayesian updating and an adaptive meta-learning sampling method. The method comprises the following steps: firstly, judging whether a self-adaptive meta-learning sampler adaptive to a specific structure system identification task exists or not based on task data, and if not, training a self-adaptive meta-learning sampler adaptive to the task; and finally, executing an adaptive meta-learning sampling method based on Bayesian updating by using the trained sampler to realize efficient sampling, and completing a structural system identification task. According to the method, the adaptive meta-learning sampling method is provided, on the basis of a detailed probability distribution recognition result of Bayesian updating, the sampling efficiency is improved by using the refined strategy learning capability of the neural network, and the neural network training time is saved by using the adaptive meta-learning design, so that the method is suitable for the recognition problem of a more complex structure system; therefore, the method can better serve the field of structural health detection.

This application proposes a method and apparatus for determining the stationary state of a target vehicle. The method includes obtaining a first stationary probability based on the relative speed between the vehicle and the target vehicle; obtaining a second stationary probability based on the relative distance between the vehicle and the target vehicle; obtaining a third stationary probability based on the collision time between the vehicle and the target vehicle; processing the first, second, and third stationary probabilities to generate an optimal stationary probability; and determining the stationary state of the target vehicle based on the optimal stationary probability if the optimal stationary probability is greater than a preset probability. This application can improve the accuracy of determining the stationary state of a target vehicle and improves the efficiency of multivariate verification of stationary states based on different factors such as speed, distance, and collision time by calculating the three stationary probabilities of the target vehicle.

The invention relates to application of seroalarm as a biomarker in predicting the curative effect of a JAK inhibitor on alopecia areata. Particularly, S100A8 / A9 and S100B are the most preferable biomarkers, and the curative effect of the JAK inhibitor on alopecia areata can be effectively predicted by detecting the concentration of the biomarkers in the serum of an alopecia areata patient, so that valuable reference is provided for selection of an alopecia areata treatment scheme.

The invention discloses a dynamic propagation model analysis method of porous medium material waves under different frequencies for complex geological exploration. The method comprises the following steps: acquiring porous medium material waves to be analyzed; the porous medium material wave to be analyzed is input into a dynamic propagation model, an analysis result is obtained, and the dynamic propagation model is constructed by combining a time-varying related viscoelastic constitutive model with a Biot model. The method can be effectively suitable for wave propagation of the porous medium material under different frequency conditions, has good reference value for complex geological exploration and deep reservoir parameter inversion analysis, can provide theoretical reference basis for exploration of resources such as mineral products and oil gas in China, and is remarkable in effect and convenient to popularize.

The present invention discloses a method for calculating the size of a permanent magnet traction motor stator forming coil based on three-dimensional scanning, the method comprising: obtaining three-dimensional point cloud data of the permanent magnet traction motor stator forming coil and performing point cloud preprocessing; smoothly cutting off the connecting lead part; taking the main direction of the permanent magnet traction motor stator forming coil as the x-axis and the direction perpendicular to the x-axis in the plane where the permanent magnet traction motor stator forming coil is located as the y-axis to establish a rectangular coordinate system; using the fitting method of numerical iterative optimization of the least squares adjustment method to establish the mathematical equation of the stator forming coil surface; finally calculating the normal vector of the coil surface point, the total length of the coil, the outer span and the nose height. The present invention obtains the key dimensions of the permanent magnet traction motor stator forming coil based on three-dimensional scanning technology, including the total length of the stator forming coil, the outer span and the nose height; in addition, parameters such as curvature can be obtained through the mathematical equation of the stator forming coil surface.

The invention discloses a drug resistance gene detection system and program for beta-lactam drugs for RA, and relates to the technical field of gene detection. The drug resistance gene detection system comprises: a gene library containing drug resistance markers of beta-lactam drugs for RA; the gene sequencing equipment is used for performing gene detection on whether the to-be-detected sample contains the drug resistance marker or not and the serum type of the to-be-detected sample; and the data processing module is used for giving a drug resistance analysis report based on a detection result of the gene sequencing equipment. According to the invention, drug resistance markers and serum detection are combined, the prediction accuracy of drug resistance is high, and the method has good reference value for predicting pathological changes and prognosis after infection; the method can be applied to the fields of virus detection, risk assessment, drug research and development and the like.

The present invention relates to a subarray-level distributed frequency-controlled array sidelobe suppression method based on an improved genetic algorithm, and belongs to the field of array antenna signal processing. The method uses an improved genetic algorithm to simultaneously suppress the grating lobes or high sidelobes of the distributed frequency-controlled array in the angle dimension and the distance dimension; the improved genetic algorithm is a niche genetic algorithm based on a pre-selection mechanism, and a competition mechanism is introduced between the parent and the offspring. Only when the fitness value of the offspring individual is higher than that of the parent individual, the offspring individual can replace its parent individual accordingly, otherwise the parent individual is still retained in the next generation group, and the local and global optimal solutions are optimized in the feasible solution space; and taboo search is introduced to speed up the convergence speed, avoid the genetic algorithm from being premature and stagnant, and thus jump out of the local optimal solution. The present invention improves the optimization results of the subarray position and subarray frequency deviation of the subarray-level distributed frequency-controlled array, and achieves better sidelobe suppression results from the distance dimension and the angle dimension.

The invention discloses a power supply risk early warning method and device based on a wind and light output safety domain. The method comprises the following steps: carrying out clustering analysis on historical data of a wind and light output scene by adopting a deep embedding clustering method, and determining a clustering result; determining a typical scene set of a wind and light output scene according to a clustering result, and determining a wind and light output extreme value scene according to historical data; performing risk quantitative evaluation on the wind and light output extreme value scene according to a pre-established new energy power supply risk quantitative evaluation model, and determining a risk quantitative result of the wind and light output extreme value scene; when the risk quantification result is a dangerous scene, searching a scene adjacent to the dangerous scene in the typical scene set, and evaluating an early warning result of the wind and light output scene according to the adjacent scene; and when the risk quantification result is a dangerous scene, determining that the wind and light output scene has no operation risk.

The invention relates to an ultralow-temperature preservation method for root tips of wild rice, and belongs to the technical field of plant cell engineering. The ultralow-temperature preservation method comprises the following steps: S1, taking robust sterile tissue culture seedlings of wild rice subjected to subculture for 20-60 days, cutting off root tissues, inoculating the seedlings into a sucrose-containing MS culture medium, and inducing new roots; s2, transferring the sterile tissue culture seedlings with new roots into a culture medium containing cane sugar and ABA for pre-culture; and S3, cutting the root tips of the sterile tissue culture seedlings after pre-culture, and carrying out ultralow-temperature preservation. According to the method, the wild rice root tips are successfully preserved at the ultralow temperature for the first time, and the preserved root tips form calluses and can be differentiated into seedlings, so that the growth condition is good. The reference value is realized on the ultra-low temperature preservation of the wild rice and the gramineous plants.

The invention discloses a cysteine protease inhibitor gene OsCYT2 for regulating and controlling rice sheath blight resistance and application thereof.According to the cysteine protease inhibitor gene OsCYT2 for regulating and controlling rice sheath blight resistance, the OsCYT2 gene is transferred into an infected rice variety through agrobacterium-mediated genetic transformation, it is found that the resistance of a transgenic plant over-expressing the OsCYT2 gene to sheath blight is enhanced, and after the transgenic plant is infected with the sheath blight, the gene OsCYT2 gene can be transferred into the infected rice variety. The scab length of sheath blight is reduced, and the disease resistance of rice is enhanced. The gene provided by the invention has reference significance for researching gene molecular functions and breeding.