65results about How to "Targeted" patented technology

The invention provides an intention guide pushing method and system based on geographic position information and multimedia interaction. The method comprises the following steps: constructing an interest model based on a geofence technology and a deep neural network; generating a user activity intention prediction result based on the interest model, obtaining a behavioral rhythm analysis result by using a Bayesian network and a time sequence prediction algorithm based on the user activity intention prediction result, and constructing a user and place relation graph by using a graph theory algorithm based on determining the optimal pushing opportunity of the behavioral rhythm analysis result. Generating a time sensitivity optimization scheme; generating customized content based on a time sensitivity optimization scheme, processing the customized content by adopting an emotion analysis method, a collaborative filtering algorithm, an auto-encoder and a multi-head attention mechanism to obtain final content, adjusting the final content through an instant feedback mechanism, and generating a multimedia push packet; according to the invention, the performance and service quality of the intelligent pushing system are improved, and more accurate and personalized recommendation experience is provided for the user.

The invention discloses a memory management method and device, electronic equipment and a computer readable medium, and relates to the technical field of memorizes.The method comprises the steps that a plurality of processes currently operated by the electronic equipment are obtained, and each process corresponds to at least one memory page; performing grouping operation according to the process identifier of each process to obtain a group corresponding to each process identifier; distributing a corresponding memory replacement strategy for each group; determining a to-be-swapped target memory page corresponding to the target group based on a memory replacement strategy corresponding to the target group; and executing memory swap-out operation on the target memory page. Therefore, the identifier of the process of each currently running thread can be grouped, so that corresponding cache replacement strategies can be set for different groups, the setting of the cache replacement strategies is more targeted, and the setting of swap-out operation is more reasonable.

The invention relates to the technical field of targeted intervention of chordoma, in particular to application of a medicine to treatment of chordoma of different molecular types. The invention provides application of anlotinib, an oxidative phosphorylation inhibitor and desumab in preparation of products for preventing and / or treating chordoma. The chordoma comprises interstitial epithelial transformed chordoma, mesenchymal derived chordoma and bone microenvironment dominant chordoma. The invention also provides a pharmaceutical composition, which comprises an effective dose of anlotinib, and / or an oxidative phosphorylation inhibitor, and / or desumab. Under the condition that current treatment selection is limited, proliferation, clone formation and tumor growth of tumor cells can be remarkably inhibited by applying the medicine to specific molecular subtype chordoma, and compared with existing treatment medicine, the medicine has a better treatment effect, has good safety and shows potential clinical application value.

The invention discloses a customer service information generation method and system based on a classification scene. The method comprises the steps of obtaining current session data based on a preset memory window; performing vectorization operation on the current session data to obtain a target corpus; calling an AI model to analyze the target corpus, and classifying the current session data to preset scenes according to an analysis result, the preset scenes including a first scene, a second scene and a third scene, the first scene generating customer service information based on preset configuration information, the second scene generating customer service information based on a preset knowledge base, and the third scene generating customer service information based on a preset knowledge base; the third scene generates customer service information based on a preset information collection program; and based on the preset scene, generating customer service information corresponding to the current session data. The mode of generating the reply information through the scene type distinguishing model reduces the illusion influence of the model, greatly improves the accuracy of the customer service information, improves the model training efficiency, and reduces the model training cost.

This invention provides a method and apparatus for vehicle-mounted audio zone noise reduction, relating to the field of vehicle control technology. The method includes: when any target occupant among multiple occupants in a vehicle is in a call state, determining the target seat area where the target occupant is located from multiple seat areas in the vehicle; determining an acoustic control area based on the target seat area; when there is playback content in the acoustic control area, reducing the playback volume of the playback device in the acoustic control area; and when it is detected that the target occupant's call has ended, restoring the playback volume of the playback device in the acoustic control area to its original volume.

The application discloses a federal automatic driving differentiated privacy protection method, an electronic device, a storage medium and a program product. The method comprises the following steps: determining a priority interval according to the priority of batch samples, and dividing the priority interval into E segments; sampling a value from each segmented interval range, finding a sample corresponding to the priority closest to each sampled value from the batch samples, finding another sample closest to the priority of the found sample from the same type of samples in which the found sample is located, and combining the two found samples to form a similar sample combination; according to the priority of the sample, the total number of batch samples and the training correction factor, each sample of the batch samples is given a non-normalized weight, and each non-normalized weight is normalized to obtain the maximum weight of each sample in the batch samples. The application realizes fine privacy protection for key gradients, and improves sample utilization and model training performance.

The invention belongs to the technical field of signal investigation, and particularly relates to a small unmanned aerial vehicle investigation system and method based on weak signals, and the system comprises a radio monitoring module, an investigation positioning module, a control module, a sound wave monitoring module, a sound wave amplification module, a sound wave equipment information module, a scheme refining module and an effect ratio module. Through the arrangement of the sound wave monitoring module, when weak signals in the investigation range are monitored, not only can the electromagnetic environment when the weak signals appear be monitored, but also the fluctuation environment when the weak signals appear can be monitored, so that the unmanned aerial vehicle can be investigated more accurately, a user can customize a sensitive threshold value, and the detection accuracy is improved. The method adapts to different investigation scenes and requirements, can improve the attention and investigation effect on specific weak signals, can obtain the information and precision of different sound wave monitoring devices, can generate a precision compensation scheme and analyze a matching value, can give full play to the potential of the devices, and can avoid resource waste while improving the monitoring precision.

The invention discloses an oral mucosa blood vessel OCT image processing method and system. The method comprises the following steps: acquiring an OCT image of a target oral mucosa tissue; segmenting a plurality of blood vessel regions from the OCT image based on a trained image segmentation model; determining a disease probability corresponding to each blood vessel region; according to the disease probability, carrying out image enhancement on an image region of the OCT image nearby along each blood vessel region to obtain an enhanced OCT image result; the intensity and range of the image enhancement are in direct proportion to the disease probability. Therefore, more targeted and more efficient image enhancement can be realized, a data image basis with higher reference is provided for disease diagnosis or research of related tissues, and the image processing cost is reduced.

The invention belongs to the technical field of gas reservoir exploration, and particularly relates to a method and a system for depicting a water invasion dominant channel space of a fractured-porous gas reservoir. The method comprises the following steps: establishing a dual-medium fine geological model, wherein the dual-medium fine geological model comprises a matrix porosity model and a discrete fracture network model; obtaining a matrix permeability model according to the matrix porosity model, and obtaining a fracture permeability model according to the discrete fracture network model; matrix heterogeneity characterization parameter gridding is carried out based on the matrix permeability model, and fracture heterogeneity characterization parameter gridding is carried out based on the fracture permeability model. According to the method, the near-wellbore zone water invasion channel or the seepage barrier can be accurately judged, the whole gas reservoir water invasion channel or the area to be subjected to water invasion can be predicted, the influence of human factors is reduced, and the method is visual, fine, high in calculation efficiency and high in accuracy for the crack-pore type reservoir. And predicting the geometrical morphology and spatial configuration relation of the water invasion channel with comprehensive evaluation parameters.

The present application discloses an anti-interference method, device, electronic device and storage medium for DSS. The anti-interference method for DSS includes: obtaining real-time radio frequency performance parameters and communication performance parameters; judging whether there is interference of dynamic spectrum sharing DSS according to the radio frequency performance parameters and communication performance parameters; if there is interference, classifying the interference according to the radio frequency performance parameters and communication performance parameters; and performing corresponding anti-interference processing on different types of interference according to the classification results. In the implementation mode of the present application, the interference generated by the dynamic spectrum sharing process is classified, and corresponding processing is performed according to the classification results, so that the anti-interference processing is more targeted and the efficiency of the anti-interference processing is improved without reducing the spectrum utilization rate; at the same time, since the radio frequency performance parameters and communication performance parameters are real-time acquired values, it is possible to verify whether there is still interference after the anti-interference processing, thereby ensuring the completeness of the anti-interference processing.

This invention discloses a quantitative analysis and evaluation system for the growth potential of peach rootstock, relating to the field of forestry seedling technology. The system includes: a full-dimensional data acquisition module, a data processing module, a feature selection module, a dynamic weighting module, and a collaborative evaluation module. This invention conducts non-destructive, full-dimensional data acquisition of core indicators throughout the entire life cycle of peach rootstock. After data verification, completion, and normalization preprocessing, historical monitoring data from the same variety and growth environment are retrieved to determine the correlation between indicators and growth potential. Influencing characteristic indicators of growth potential are then extracted, and redundant indicators are removed. Basic weights are assigned to corresponding influencing characteristic indicators based on the growth characteristics of different growth stages of the rootstock. The basic weights are adjusted based on the dispersion and correlation of indicator data determined by historical data. The actual contribution weights are determined based on the importance of the features, achieving phased dynamic adjustment of indicator weights and ensuring that the weight allocation is adapted to the growth patterns of peach rootstock.

The application discloses an ACVR2A antibody and application thereof, and relates to the technical field of biological medicine. The antibody provided by the application has the advantages of stronger affinity to ACVR2A and higher selectivity to ACVR2A, and provides diversified treatment options for different clinical requirements and expands the application potential of ACVR2A targeted treatment.

The invention relates to the technical field of biological targeted delivery systems, and discloses a bionic nanoparticle for photodynamic combined calcium overload, which comprises a nanoparticle which is an indocyanine green-calcium phosphate nanoparticle; the fusion membrane is a composite membrane, and the composite membrane comprises a mitochondrial membrane and a neutrophile granulocyte membrane. The particle size of the nanoparticles prepared by a coprecipitation method is nanoscale, and the particle size of the nanoparticles coated with the two films is slightly increased. Under the wrapping of the two membranes, the ICG / CaP nanoparticles are endowed with the biological characteristics of long circulation time, targeting, good biocompatibility and the like, and the anti-tumor effect of a photodynamic therapy and the synergistic treatment effect of mitochondrial Ca < 2 + > overload are enhanced; the synergistic treatment effect not only can accurately target tumor cell mitochondria, but also can promote calcium ion release based on photodynamic force to form a cascade synergistic effect of photodynamic force and calcium overload, and provides a potential efficient strategy for synergistic treatment of photodynamic therapy and other anti-tumor strategies.

The invention relates to an ice layer thickness dynamic data acquisition method and system, relates to the technical field of icing sensing, and solves the problem that the whole icing process of a fuselage is difficult to monitor. The method comprises the following steps: acquiring a current ice layer thickness value output by a currently used target device after acquiring the ice layer thickness; the target device is one of the first data detection device, the second data detection device or the dynamic thickness prediction model; the first data detection device is used for outputting a current ice layer thickness value when the ice layer thickness is lower than a first critical value; the second data detection device is used for outputting a current ice layer thickness value when the ice layer thickness is higher than a second critical value; the dynamic thickness prediction model is used for outputting a current ice layer thickness value when the ice layer thickness is in a target range; the target range is larger than or equal to a first critical value and smaller than or equal to a second critical value; and determining a target device for outputting the ice layer thickness next time according to the current ice layer thickness.

This disclosure relates to an image processing method, apparatus, electronic device, and storage medium. The method includes: extracting a plurality of first feature points from a first image and a plurality of second feature points from a second image, wherein the first image is an image captured by a first camera and the second image is an image captured by a second camera; determining the incident direction of each first feature point and the incident direction of each second feature point, wherein the incident direction is the direction from the corresponding position of the feature point in the real world to the optical center of the camera; performing feature matching on the plurality of first feature points and the plurality of second feature points within each of a preset plurality of direction ranges, and performing preset processing on the first image and the second image based on the feature point matching results within each direction range.

A hinge cup for metal hinges includes a panel and a recessed pocket portion located in the middle of the panel. A hinge seat for hinged connection with the hinge body is provided on one side of the panel and pocket. Several outwardly protruding anti-detachment devices are integrally formed on the outer cylindrical surface of the pocket, serving to engage with the inner wall of the mounting holes after the hinge cup is installed into the plate. The beneficial effects of this invention are: the anti-detachment devices effectively resist external axial pull-out forces and radial wobbling, directly enhancing the bonding force between the hinge cup and the plate, fundamentally improving the anti-detachment performance of the hinge cup, and significantly enhancing the locking force.

The present invention discloses a method and system for predicting the human eye comfort of a tablet computer fill light, comprising collecting illumination information of a specific position of a plane where a tablet computer is located; judging whether the illumination information of the specific position of the plane where the tablet computer is located is within the illumination range applicable to the present invention; collecting micro-invert information of the spectral reflectance of the tablet computer fill light; judging whether the micro-invert of the tablet computer fill light is within the micro-invert range applicable to the present invention; selecting and matching the illumination information with a human eye comfort estimation model of the tablet computer fill light; and obtaining a corresponding estimation value based on the micro-invert information in combination with a human eye comfort prediction estimation model of the corresponding tablet computer fill light, so as to realize the prediction of the human eye comfort of the tablet computer fill light.

The invention provides a spleen-tonifying formula aiming at spleen deficiency and excessive dampness of acute pancreatitis and application of the spleen-tonifying formula. The formula consists of the following components: 30g of raw bighead atractylodes rhizome, 20g of poria cocos, 20g of raw coix seed, 10g of radix bupleuri, 15g of rhizoma cyperi, 15g of immature bitter orange, 15g of mangnolia officinalis, 6g of raw rhubarb, 10g of rhizoma corydalis, 10g of radix aucklandiae and 8g of scutellaria baicalensis. The preparation method comprises the following steps: preparing materials, cleaning medicinal materials, soaking the medicinal materials, decocting the medicinal materials, decocting again, concentrating liquid medicine and storing the liquid medicine, wherein each step has detailed operation requirements. Effective components of the medicinal materials can be fully decocted through the scientific preparation method, and the quality and curative effect of the liquid medicine are improved; the traditional Chinese medicine materials adopted in the formula are small in side effect compared with western medicines, and the formula aims at the spleen deficiency and excessive dampness syndrome of acute pancreatitis and can effectively relieve the spleen deficiency and excessive dampness syndrome by adopting a treatment method of tonifying the spleen, eliminating dampness and promoting qi circulation to relieve pain.

The application relates to the technical field of direction of arrival estimation, and specifically discloses a cross-platform complex domain feature enhancement coherent super-resolution DOA estimation method, which comprises the following steps: firstly, a complex domain CVSIMO learning model is constructed; sampling data is preprocessed; forward propagation of the CVSIMO learning model is carried out; backward propagation and parameter optimization of the CVSIMO learning model are carried out; data reconstruction and signal separation are carried out; cross-platform super-resolution DOA estimation is carried out; and finally, model simulation experiments are carried out. The cross-platform complex domain feature enhancement coherent super-resolution DOA estimation method can realize feature mining of multiple point source signals, converts a multi-source estimation problem into a single point source DOA estimation problem by using a complex domain neural network model, enhances the features of coherent signals by using the advantages of the complex domain neural network, improves the performance and precision of the super-resolution DOA estimation algorithm, can also realize data separation of multiple coherent signals and cross-platform DOA estimation, and realizes real angle estimation through ingenious feature solving.

The scheme relates to a forest lightning stroke fire risk risk region division method and system. The method comprises the following steps: acquiring forest environment data and forest meteorological data; determining a reference meteorological station, correcting the forest meteorological data to obtain target meteorological data, and calculating a forest fire risk meteorological index; calculating a forest lightning stroke disaster-causing factor index; calculating a disaster-bearing body vulnerability index according to the to-be-divided risk region; and according to the forest fire risk meteorological index, the forest lightning stroke disaster-causing factor index and the disaster-bearing body vulnerability index, the to-be-divided risk region is divided into various risk region grades by using a natural breakpoint method in ArcGIS. Through comprehensive consideration of the influences of environment, meteorology, lightning and the like on forest fire risk, various indexes are calculated, so that the risk region division is more targeted; due to the normalization processing of various indexes, high-precision risk region division can be realized.

The invention discloses application of a monoclonal antibody 2F5 in autoimmune diseases and regulation and control of B cells, the monoclonal antibody 2F5 is obtained from SLE peripheral blood, and it is proved for the first time that the monoclonal antibody 2F5 can promote proliferation, activation and differentiation of the B cells through primary cell and cell line experimental models. The antibody provided by the invention is completely humanized and clear in targeting, can well simulate the blood microenvironment of the high-titer autoantibody in the peripheral blood of an autoimmune disease patient, is an ideal tool for defining the biological function of the autoantibody and researching the regulation and control of the autoantibody on the activation and differentiation of B cells, is beneficial to deepening the understanding of a mechanism causing immune disorder, and has a good application prospect. Therefore, the treatment intervention of immune pathological diseases caused by abnormal differentiation of B cells becomes possible, and an important foundation is laid for developing a new target spot of targeted pathogenic B cells for treating autoimmune diseases and tumors.

This invention belongs to the field of traditional Chinese medicine, specifically relating to a traditional Chinese medicine composition for treating rosacea, its preparation method, and its application. This invention provides a traditional Chinese medicine composition for treating rosacea, comprising dandelion, purslane, sophora flavescens, sophora japonica flower, and rhubarb. The traditional Chinese medicine composition of this invention has the effects of clearing heat and detoxifying, reducing inflammation and antibacterial properties, cooling blood and promoting blood circulation, and repairing the skin barrier. It can be used to treat erythematous rosacea, relieving erythema, telangiectasia, papules, itching, and burning sensation on the skin, and reducing the risk of recurrence.

This invention discloses a nystatin microsphere with targeted enhanced antifungal function, its preparation method, and its application. The microsphere uses sodium alginate as a carrier, internally encapsulating the antifungal drug nystatin. The surface is covalently modified with the β-glucan binding domain of the Dectin-1 protein, constructing a smart drug delivery system with fungal targeting function. The microsphere preparation process is simple and reproducible, and can be scalable using an emulsion-ionic crosslinking method combined with protein coupling technology. In vitro characterization shows that the microspheres have uniform particle size and stable dispersion, and Dectin-1 modification significantly enhances their specific binding ability against Candida albicans. This targeted delivery system, while successfully preserving drug activity, significantly improves the antifungal efficiency of nystatin through Dectin-1-mediated targeting, achieving efficacy close to that of free drug, and providing a new strategy for constructing highly efficient and long-acting antifungal agents.

The present application belongs to the technical field of steel pipe detection, and particularly relates to a seamless steel pipe toughness performance defect optimization method and system. The method compares the test output value with the preset comparison interval, identifies the test parameters that cause the test output value to deviate, and classifies the test parameters as positive parameters or negative parameters according to the deviation direction. The test parameters that cause the test output value to deviate are classified, the test parameters are determined as impact parameters or necessary parameters, the impact parameters are defined as optimization items, and the necessary parameters are defined as risk items. Key defects are identified, and the severity is quantitatively evaluated to provide a risk warning signal for production managers. The present application provides a data basis for exploring the causes of defects through identification and classification of defect causes, avoids indiscriminate treatment of all test parameters that cause deviation, improves the efficiency of problem diagnosis and solution, and realizes risk warning and active prevention.

The application discloses a UAV chip sensitive data access control method based on a trusted execution environment, relates to the technical field of UAV safety, and comprises the following steps: after a trusted execution environment is configured for a UAV, it is detected whether data encryption is performed on the UAV chip; if data encryption is performed, real-time confusion processing is performed on the power consumption, electromagnetic signals and execution time of the UAV chip; the trusted execution environment isolates the processing space of sensitive data from a logical level to prevent unauthorized access; the real-time confusion processing dynamically interferes with the core physical features of side channel attacks, so that an attacker cannot deduce an encryption key or algorithm logic by monitoring the physical signals of the chip; and the synergistic effect of the power consumption, electromagnetic signals and execution time makes the chip present highly unpredictable physical features in the encryption process, significantly improves the difficulty of side channel attacks, and provides multi-level protection for the safe processing of sensitive data of the UAV.

A method for evaluating the mechanical properties of glued laminated timber is an evaluation method for the mechanical properties of glued laminated timber with the same combination of plies. The bending performance test in the mechanical property evaluation of glued laminated timber is often carried out to determine the strength grade of the glued laminated timber through full-scale test of glued laminated timber components. The full-scale component destruction test wastes the raw materials of glued laminated timber, is costly, has high requirements on the testing equipment, and is difficult to test. Another method is to calculate the bending strength of glued laminated timber through the tensile strength of the plies, but such a calculation method does not distinguish between the tree species used, and has problems such as low representativeness of the results. In the shear performance evaluation experiment, the evaluation index comes from the plies of each strength grade at the middle two-thirds of the component cross section, and the shear strength of the small material test piece along the grain is used as the shear strength of the glued laminated timber. The shear strength value of the small shear test piece is several times higher than the shear failure strength of the large-size wood structure components used in actual engineering applications, so it is inaccurate to directly apply it to actual engineering.

The application discloses a multi-axis hole robot assembly method based on abnormality identification and retreat reconstruction, and relates to the technical field of robot precision assembly and intelligent manufacturing. The method comprises the following steps: in the process of inserting and assembling the robot based on the pre-alignment result, a contact feature vector is extracted from an assembly process observation vector; the values of all elements in the contact feature vector are weighted and summed to obtain a contact abnormality discrimination index; when the contact abnormality discrimination index is greater than or equal to a preset abnormality threshold, the retreat direction and retreat distance of the robot are determined based on the contact abnormality discrimination index and the contact feature vector, and a retreat action is performed; a re-alignment control quantity and a re-insertion reference path parameter used for recovering assembly are generated; and the robot is controlled to perform recovery assembly according to the re-alignment control quantity and the re-insertion reference path parameter until the assembly is completed or an abnormality recovery termination condition is reached. The method improves the overall success rate of the assembly process.

The invention discloses a vanadium-titanium blast furnace comprehensive operation state evaluation platform and a construction method thereof, and relates to the technical field of vanadium-titanium blast furnaces. When the platform is designed, personalized scoring rule setting is carried out for various indexes by consulting opinions and experiences of experts, so that each index has a corresponding data sensitive area and a corresponding data delay area when an evaluation score is calculated. And for the data sensitive region, the evaluation score changes severely, and the data slow region changes gently. Compared with a system in which all indexes are calculated according to a unified rule, the method has higher pertinence, the rules of all the indexes can be adjusted at any time, and potential relations between various core indexes and the comprehensive operation state of the vanadium-titanium blast furnace are more comprehensively constructed.

This invention relates to an integrated system, method, and unmanned aerial vehicle (UAV) system for early warning, sampling, and replenishment of bioaerosols. The controller activates a microbial early warning device to allow air to enter. The device samples airborne microorganisms, generating fluorescent signals. The controller analyzes these fluorescent signals to determine if the aerosol concentration exceeds a preset value or if microbial aerosols are detected. If so, the controller activates the microbial early warning device and simultaneously starts the microbial sampling and replenishment device. A sampling liquid pump injects the sampling liquid into the sampler, and a fan then circulates air into the sampler for sampling. During sampling, a temperature and humidity sensor monitors the ambient temperature and humidity in real time every second. The controller uses this data to calculate the evaporation rate of the sampling liquid (evaporation rate per second = replenishment rate per second) using a fitting function. The controller then controls the sampling liquid pump to operate for the calculated time, injecting the sampling liquid into the sampler for real-time sampling and replenishment. Once the preset sampling time is reached, the controller activates the sample pump to inject the sample liquid from the sampler into a sample bottle.

The dust falling device comprises a base, a water storage mechanism and a lifting mechanism, idler wheels are installed on the lower face of the base, a handrail is connected to the upper face of the base, the water storage mechanism is installed on the upper face of the base, a hose is connected to the water storage mechanism, a supporting column is installed on the right side of the water storage mechanism, and the lifting mechanism is connected to the supporting column. And a lifting mechanism is installed on the supporting column, an angle adjusting mechanism is installed on the lifting mechanism, and a spray head is connected to the angle adjusting mechanism. According to the dust fall device for the construction project, the lifting mechanism capable of adjusting the height of the spray head is installed, the dust fall device can adjust the height of a construction site, so that the dust fall is more targeted, the dust fall area is increased, and in order to improve the practicability of the dust fall device, the spray head is of a rotatable structure; and when dust falling is carried out on a construction site, the dust falling efficiency is improved.