8results about How to "Facilitate cognition" patented technology

The invention provides a traffic flow prediction method based on a dual hypergraph neural network. The method comprises the following steps: preprocessing traffic data collected by a sensor in a traffic road network in a certain time period; forming a data set by the preprocessed traffic data, and dividing the data set into a training set, a test set and a verification set; respectively constructing a traffic flow graph and a dual hypergraph according to the topological graph of the traffic network; constructing a traffic flow prediction model based on the space-time dual hypergraph convolution layer, wherein the traffic flow prediction model comprises an input layer, the space-time dual hypergraph convolution layer and an output layer which are connected in sequence; inputting the preprocessed traffic data in the training set into a traffic flow prediction model for training; testing the trained traffic flow prediction model by using the preprocessed traffic data in the test set to obtain a final traffic flow prediction model; and inputting the traffic data preprocessed in the verification set into the final traffic flow prediction model to obtain the predicted traffic flow. According to the method, multi-source data are fused and external knowledge is utilized, so that the spatial-temporal correlation in the data can be better understood and utilized, and the accuracy of a traffic prediction model is improved.

Provided herein include methods of making mogroside compounds, e.g., siamenoside I 1, compositions (for example host cells) for making the mogroside compounds, and the mogroside compounds made by the methods disclosed herein, and compositions (for example, cell lysates) and recombinant cells comprising the mogroside compounds (e.g., siamenoside I). Also provided herein are novel cucurbitadienol synthases and the use thereof.

The invention relates to the technical field of vehicle calibration electric appliance systems, and particularly discloses a method for importing calibration quantity and observed quantity information through A2L file fusion, which is characterized in that model logic processing, calibration quantity and observed quantity are created and realized through a model building tool Simulink, and the calibration quantity and observed quantity information is perfected. Information in the two A2L files is fused through ASAP2, and scaling quantity and observed quantity address information in the ELF file is generated through a software integration tool and updated to the fused A2L file; compared with a traditional mode of directly compiling the A2L file, the method is faster and more accurate, the requirement for professionals is not high, and the development time is saved. Compared with a mode of extracting the calibration quantity and the observation quantity through an ELF file, the method has the advantages that the remark information of the calibration quantity and the observation quantity is more complete, professionals have better cognition on the calibration quantity and the observation quantity, and the calibration process can be better achieved.

The invention relates to the technical field of cigarette flavor preparation, and discloses a cigarette flavor additive and a preparation method thereof, and the cigarette flavor additive comprises a blueberry extract, a flavor enhancer, nerol, an alcohol flavor, ethyl benzoate, 4-hydroxybenzoic acid and ethanol. According to the invention, the blueberry extract is used as a perfume and the fragrance contained in the blueberry extract reduces the irritation, the blueberry extract is used for perfuming the cigarette, so that the cigarette fragrance can be improved, the effects of smoothing smoke, reducing offensive odor, improving aftertaste and the like are achieved, and the adopted flavor enhancer is thermally cracked in the cigarette burning and smoking process, so that the fragrance of the cigarette is improved. Organic acid components with unique fragrance are released, so that the purpose of effectively enhancing the flavor of cigarettes can be achieved, and the effects of improving the fineness and softness of smoke, increasing the thickness of the smoke and reducing offensive odor and irritation are achieved.

This invention discloses an AI-based method for identifying and personally recommending children's reading interests, specifically relating to the fields of data processing and intelligent recommendation technology. The method includes: collecting multimodal data from children's reading and performing spatiotemporal alignment preprocessing; using a deep learning model to perform multimodal fusion identification of emotional pleasure, focus index, and interest focus; constructing a knowledge graph of reading materials and a graph of children's developmental stages; performing similarity retrieval based on interest focus; calculating the "zone of proximal development deviation value" to filter a preliminary recommendation list; using interactive trial reading verification; and generating a final personalized recommendation list. This invention accurately captures children's latent interests through multimodal emotion computing, combines dual knowledge graphs to match cognitive development stages, and forms a closed loop through interactive verification. It solves the technical problem that traditional recommendation methods are unable to adapt to the dynamic reading needs of young children, significantly improving the accuracy and personalization of recommendations.

The invention relates to the field of rehabilitation training, in particular to a cognitive impairment rehabilitation training prompting instrument. The invention provides a cognitive impairment rehabilitation training prompting instrument which can fully and effectively enhance the memory of a patient and improve the cognition of the patient. A cognitive impairment rehabilitation training prompting instrument comprises a base, a shell and the like. A shell is placed on the base. During training, a patient closes eyes, when a nurse shouts out numbers, the patient puts hands into the shell, when the number shouts out by the nurse is counted, one spherical handle is pressed down, so that one character block moves downwards, and the nurse can see whether the number on the character block is correct or not through the groove in the shell; a patient carefully listens to digits shouted by nursing personnel to improve concentration, and then finds the corresponding spherical handle according to the shouted digits, so that the thinking power of the patient is exercised, and the effects of enhancing memory and improving whole cognition are fully and effectively achieved.

This utility model relates to the technical field of hydraulic training equipment, specifically a teaching hydraulic directional valve base plate, including a base plate body. The base plate body has external connection holes A, B, T, and P located near the upper left, upper right, lower left, and lower right corners, respectively. The advantages are: it facilitates user connection of oil ports, making identification more intuitive, and provides clear anti-misconnection protection, preventing incorrect connection when using oil ports; it avoids the use of thread-locking adhesive during sealing, reducing hydraulic oil circuit contamination, and allows for quick and easy elastic locking of the outer end of the plug-in sealing plug, facilitating later disassembly, maintenance, and replacement; the nylon protruding set screws allow for easy fixing of the hydraulic directional valve base plate to the teaching equipment mounting plate, preventing movement of the hydraulic directional valve base plate during experiments; and the directional valve name label facilitates user identification of the component.