9results about How to "Efficient discovery" patented technology

The invention discloses a walnut source DPP-IV inhibitory peptide as well as a preparation and screening method and application thereof. The walnut source DPP-IV inhibitory peptide comprises FPAG and / or LPSYQPTP, the preparation and screening method comprises the following steps: (1) adding walnut protein powder into deionized water, and fully dissolving to obtain a walnut protein solution; (2) adding hydrolyzed compound protease into the walnut protein solution for enzymolysis to obtain walnut protein hydrolysate freeze-dried powder; (3) re-suspending the walnut protein hydrolysate freeze-dried powder in deionized water, and performing ultrafiltration separation by using an ultrafiltration membrane with the molecular weight cutoff of 1kDa to obtain a component F1; step (4), performing peptide fragment sequence identification on the obtained F1 component through peptidomics; and step (5), screening from peptide fragment sequences obtained by identification through a bioinformatics technology. The walnut source DPP-IV inhibitory peptide screened by the invention can be used for preparing a medicine or food with a DPP-IV inhibition function, so that the problems that the existing walnut source DPP-IV inhibitor has many side effects and the like are solved.

This invention discloses a blockchain address association analysis method based on graph database risk propagation, belonging to the field of blockchain association analysis technology. The invention includes attribute graph modeling, risk propagation analysis, and incremental risk mechanism updates. It is based on modeling blockchain transaction data as an attribute graph and storing it in a graph database. Then, using marked risk addresses as seed nodes, a multi-hop risk propagation algorithm with a decay factor propagates risk scores along transaction edges. Finally, combined with community detection and threshold truncation mechanisms, it outputs a set of associated risk addresses and their risk levels, achieving quantitative identification of hidden associated risk addresses. Simultaneously, it accurately and efficiently discovers organized abnormal networks and fund loops, enabling timely risk prediction and prevention, effectively controlling the propagation range, and meeting the real-time requirements of risk control and early warning scenarios.

This application provides a method, apparatus, electronic device, and storage medium for road cleanliness detection, relating to the field of road detection technology. The method includes: acquiring a road image to be detected; dividing the road image into multiple sub-regions according to a preset division method; statistically analyzing the pixel distribution of each sub-region to obtain multiple pixel histograms to be processed; acquiring multiple preset pixel histograms, each preset pixel histogram being obtained by statistically analyzing the pixels of the sub-regions in a clean state; calculating the similarity between each pixel histogram to be processed and the corresponding preset pixel histogram to obtain multiple similarities; using the similarity scores below a similarity threshold as target similarities, and using the sub-regions corresponding to the target similarities as target sub-regions; identifying the areas occupied by objects to be cleaned in each target sub-region, and determining the road cleanliness based on the areas occupied by objects to be cleaned in each target sub-region. This method can efficiently identify objects to be cleaned.

This invention discloses an integrated monitoring method for virtual reality operation based on multi-dimensional data, belonging to the field of intelligent data management. It addresses the technical problems in existing intelligent teaching solutions, such as the limited means of monitoring and evaluating teachers' teaching, and the inability to provide dynamic prompts and adjustment suggestions, leading to poor overall effectiveness in virtual reality operation management. By implementing modular monitoring and analysis of different teaching knowledge points from the teacher's perspective, it not only obtains information on the teacher's different teaching states but also effectively improves the accuracy of monitoring and analysis of different teaching knowledge points. Furthermore, by integrating various data related to students' problem-solving for different teaching knowledge points to obtain a learning monitoring value, and using this value to comprehensively evaluate the teacher's teaching effectiveness from the students' perspective, it provides timely and efficient information on students' mastery of different teaching knowledge points.

The invention provides a business risk early warning method and device and a computer readable storage medium. The method comprises the following steps: acquiring employee basic information of a target employee and learning behavior information and learning result information of the target employee in a target business knowledge point type; inputting the employee basic information, the learning behavior information of the target employee in the target business knowledge point type and the learning result information into a trained extreme gradient boosting tree XGBOOST model to obtain a performance level prediction value of the target employee in the target business knowledge point type; and according to the performance level prediction value of the target employee in the target business knowledge point type, determining whether the target employee has a business risk. According to the method, the device and the computer readable storage medium, the problem that the business risk of employees caused by insufficient business knowledge learning cannot be timely and effectively found due to lack of a business knowledge learning-based business risk early warning method in the prior art can be solved.

The invention discloses a verification method and system for a scientific calculation-oriented hybrid programming model, and relates to the technical field of information, and the method comprises the steps: carrying out the difference analysis of an original programming model and a high-performance programming model; performing initialization of physical parameters and calculation parameters and distributed topology on the original programming model; analyzing the original programming model by adopting a performance analysis tool to obtain a hotspot function; establishing a matching mapping mechanism of the original programming model and the high-performance programming model, and performing hotspot function transplantation; and constructing a verification function, carrying out hybrid compiling with the original programming model, respectively carrying out unit testing and integration testing, and outputting to obtain a verification result. Program vulnerabilities in the transplantation process can be found, and the overload workload of a large amount of output data manual comparison results is avoided. The method supports verification of various hybrid programming models, and can be used as an intermediate process method for conversion of two or more kinds of programming to verify correctness of target codes.

The application particularly relates to a method for realizing identification of a family circle member in a different network based on terminal data. The method for realizing identification of a family circle member in a different network based on terminal data determines the family circle member, collects and processes multi-source heterogeneous data from a family broadband, associates and fuses the processed data, constructs a terminal connection portrait with public network IP addresses, Wifi names and Wifi mac addresses as key dimensions; based on the terminal connection portrait, the method counts mobile phone terminals using the same Wifi name and the same Wifi mac address at any time and logging in for more than a preset threshold, and outputs the mobile phone number information. The method for realizing identification of a family circle member in a different network based on terminal data overcomes the limitation of a traditional method, realizes accurate identification of the family circle member, especially effectively discovers the member in the different network, provides strong data support for operators to carry out cross-network marketing, family package promotion, customer care and other businesses, and has high commercial application value.

The invention provides a miniaturized laser target processing device, method and system based on infrared peripheral scanning, and belongs to the technical field of photoelectric tracking. The device comprises a scanning turntable, and a composite detection module, a precise tracking module and a laser transmitter which are arranged on the scanning turntable. The composite detection module realizes large-range target search and clear imaging through circumferential scanning and image point stabilization, the precision tracking module performs high-precision optical tracking, and the laser transmitter transmits laser to a target after stable tracking of the precision tracking module. The system solves the problems of large size and high cost caused by the dependence of a large radar in a traditional laser anti-unmanned aerial vehicle system, and has the advantages of miniaturization, light weight, low cost and high deployment flexibility.

The invention discloses a defense strategy blind spot detection method and a defense strategy blind spot detection system based on a combination grouping test, which are characterized in that a combination test theory and a diagnosis model are deeply integrated into an attack simulation system (BAS), the number of test cases is compressed to a minimum and controllable scale, and the comprehensive combination test efficiency of the BAS is improved; secondly, in the aspect of vulnerability discovery capability, systematic coverage of complex blind spots caused by interaction is guaranteed, and combined security vulnerabilities which are hidden deeper are discovered more reliably and more efficiently; according to the method, the factor combination causing defense failure can be accurately positioned, the manual analysis and debugging time is greatly shortened, accurate repair guidance is provided for a security team, and the automation level and the operation efficiency of the whole security verification and response process are remarkably improved.