27results about How to "Improve cognitive ability" patented technology

The invention discloses an application of a polypeptide in preparation of a medicine for preventing or treating cerebral apoplexy. The polypeptide comprises an amino acid sequence as shown in SEQ ID NO: 1. The N15 polypeptide expressed by the sequence can inhibit apoptosis and autophagy of damaged neurons by inhibiting expression of Tom20 and PARP proteins, promote expression of SYN-1 protein to promote a patient with ischemic cerebral apoplexy to recover learning, memory and cognitive functions, can comprehensively protect neuronal damage caused by ischemic cerebral apoplexy, can promote recovery of damaged nerve cells of an OGD model, and has a good application prospect. The polypeptide has an obvious protection effect on neuronal cells, the polypeptide is connected with a cell transmembrane carrier and can penetrate through a blood brain barrier to enter brain tissue to directly act on the neuronal cells, and an ischemic cerebral apoplexy animal model verifies that the polypeptide has an effect of treating cerebral apoplexy. Particularly, the cognitive ability and learning and memory ability of a mouse with cerebral arterial thrombosis can be recovered to a normal level, and a good treatment effect on cerebral arterial thrombosis is achieved.

The present invention relates to a sulfinyl imide derivative or a pharmaceutically acceptable salt thereof, and a composition for preventing or treating cancer comprising the derivative as an active ingredient. The sulfoximide derivative or the pharmaceutically acceptable salt thereof according to the present invention has an excellent effect on activation of Nrf2, has high solubility and drug metabolism stability, has anti-inflammatory and antioxidant effects, and improves athletic performance and cognitive ability, and thus can be used in the prevention or treatment of diseases caused by a decrease in Nrf2 activity, such as diseases caused by a decrease in Nrf2 activity, as well as in the prevention or treatment of diseases caused by a decrease in Nrf2 activity. The compound is preferably used for treating liver diseases, kidney diseases, lung diseases, neurodegenerative diseases, mitochondrial myopathy, Friedel's ataxia, corneal endothelial cell loss, psoriasis and the like.

The invention relates to a preparation method of a crossed pipeline type flexible piezoresistive sensor, which belongs to the field of medical treatment, and comprises the following steps: firstly, obtaining a flexible film as a substrate based on an electrostatic spinning process, attaching a carbon nanotube to the film through an ultrasonic and impregnation method, and obtaining a tubular structure through a winding composite process; then electrospinning the TPU solution into filaments by using an electrospinning technology to form a scale-controllable film structure; then, selectively designing each tubular structure film on the TPU film to be arranged along x and y orthogonal axes to form a latticed structure; and finally, spinning a film covering net-shaped structure by adopting a TPU (Thermoplastic Polyurethane) solution through an electrostatic spinning technology for packaging, and receiving a signal by adopting a conductive adhesive tape, thereby finally forming the crossed tubular flexible piezoresistive sensor capable of realizing multi-dimensional force detection. According to the preparation method of the crossed pipeline type flexible piezoresistive sensor, the crossed pipeline type flexible piezoresistive sensor is successfully manufactured, and the manufacturing system has the advantages of being simple, efficient, easy to control, reliable, low in cost and the like.

The present invention addresses the problem of providing an information presentation device that improves the cognition of information relating to a steering angle even when a steering gear ratio is variable. An information presentation device (200) provided in a vehicle having a steering device that steers wheels and changes a steering gear ratio is configured to comprise: a steering operation amount detection unit (112) that detects a steering operation amount by a driver; a steering gear ratio detection unit (10) that detects a steering gear ratio; an excitation waveform generation unit (210) that generates an excitation waveform; an excitation unit (270) that excites air around the occupant and / or a member in contact with the occupant using an excitation waveform; and a gain adjustment unit (230) that increases the output gain of the excitation waveform in accordance with an increase in the absolute value of the differential value of the value obtained by multiplying the reciprocal of the steering gear ratio by the steering operation amount.

The invention discloses a text-guided image editing method and device, a medium and equipment, and relates to the technical field of image editing. Aiming at the limitation of an existing method in understanding an editing instruction, global vision and local entity depth perception are firstly carried out on an original image, and the original image is converted into priori knowledge in a natural language form, so that the knowledge of non-explicit modeling of a diffusion model in image editing is made up, the cognitive ability of an image editing scene is improved, and the image editing efficiency is improved. Therefore, priori knowledge is combined with the editing instruction, multi-angle deep editing reasoning is performed on the incomplete or fuzzy editing instruction, a clearer editing scheme with constraint is generated, the interpretability and the constraint of the editing instruction are enhanced, the adaptability of the model in a complex editing task is improved, and the editing efficiency is improved. And the quality of an image editing result is improved.

The application discloses a kind of multilevel geometric entity cognitive behavior modeling method, device and medium, belong to computer-aided path field.The method includes: in the part modeling stage, interactive feature pair (IFP) is associated, and the belief-desire-intention cognitive behavior model of multilevel geometric entity is established based on interactive feature pair;Wherein, multilevel geometric entity includes basic interactive feature pair (B-IFP), composite interactive feature pair (C-IFP) and part;According to the belief-desire-intention cognitive behavior model constructed, the part with cognitive ability realizes assembly path planning process autonomously.The application establishes the method of multilevel geometric entity cognitive behavior model, enhances the cognitive ability of part, reduces the heavy man-machine interactive operation in assembly process, effectively improves the intelligent degree of assembly path planning process.

The present application provides a kind of nutritional composition in the application of the product for improving learning, memory and cognitive ability.The nutritional composition includes animal bifidobacterium lactis subsp.CP-9 and 3'-sialyllactose.Animal bifidobacterium lactis subsp.CP-9 and 3'-sialyllactose can synergistically enhance the memory retention ability of the body, reduce the degree of learning and memory errors, and up-regulate the expression of oligodendrocyte transcription factor 2 coding gene, myelin basic protein coding gene and brain-derived neurotrophic factor coding gene, realize the double regulation of myelin formation and neurotrophic in hippocampus region of brain, synergistically improve the neural plasticity of central nervous system through gut-brain axis pathway, and then double improve the learning, memory and cognitive function of the body from the behavior and molecular level.

The invention relates to the technical field of children education, and particularly discloses a children mathematical calculation teaching system which comprises a parent manual module, a teaching target unit, a material list unit, an activity demonstration unit, a question answering unit, a digital graphic card module and a graphical mathematical question module. Each of 1-10 numbers is displayed in five different patterns and arrangement forms, children are guided to obtain visual number feelings, the children are helped to establish psychological images of the number, abstract numeric symbols are changed into fixed concrete patterns, the numbers are visualized and operated in the brain, the children are helped to establish number feelings through different arrangement sequences, and the children are helped to have the visual number feelings. The cognitive competence of children can be enhanced, the children can be encouraged to pay attention to spatial arrangement of the number visually, in addition, advanced math lists are described in detail one by one in the mode that parents use manual, the parents are helped to use and determine teaching targets suitable for the children at present, math enlightenment of the children is facilitated, and the math learning interest of the children is improved.

The invention provides a work memory ability training method based on electroencephalogram neural feedback, a storage medium and equipment, and the method comprises the steps: obtaining electroencephalogram signal data of a tested object in a process of executing a training task, and obtaining task execution result data of the tested object, the training task at least comprising a digital memory breadth task and a spatial memory breadth task; extracting physiological features of the electroencephalogram signal data, and calculating a cognitive state index and a global cognitive ability index according to the physiological features and the task execution result data; the training task is adjusted according to the global cognitive ability index, and the tested object is trained again according to the adjusted training task; and when it is judged that at least one of the training times, the global cognitive ability index and the cognitive state index meets a preset training condition, generating a training report at least including the cognitive state index of the tested object during each training. The computing resource consumption, the training delay and the deployment cost in the multi-dimensional training of the working memory ability are reduced.

The invention belongs to the technical field of medicines, and particularly relates to a brain-targeted liposome for delivering mRNA (messenger ribonucleic acid) as well as a preparation method and application of the brain-targeted liposome. The liposome ingeniously utilizes the similar structure of PMPC and acetylcholine, can efficiently pass through BBB and target brain and hippocampus, and realizes personalized accurate delivery of mRNA to realize safe and effective prevention and treatment of brain diseases. The preparation method of the liposome comprises the following steps: (1) synthesizing PMPC-CPADN; (2) synthesizing DSPE-PMPC (Distearoyl Pyrrolidone- (3) preparation of lipidosome: mixing SM-102, DSPC, cholesterol, DSPE-PMPC and DMG-PEG (Dimethyl Glycol-Polyethylene Glycol) according to a certain molar ratio to prepare a lipidosome solution; the lipidosome can be used for preparing the lipidosome / mRNA compound, and the lipidosome / mRNA compound can be used for preparing medicines for treating brain diseases. The PMPC modified brain-targeted liposome for delivering mRNA is stable in physicochemical property, effectively protects mRNA from being degraded by nuclease, and can load mRNA and deliver the mRNA to the brain.

The invention relates to the technical field of neurology, in particular to a composition for treating brain injury and neurodegenerative lesion and application thereof, the composition is composed of an antioxidant and an anti-inflammatory drug, the antioxidant comprises vitamins, flavonoids, polysaccharides, saponins and active peptides according to the mass ratio of 4: 3: 1: 4: 2, and the content of the antioxidant is 60-80 parts; the anti-inflammatory drug comprises a non-steroidal anti-inflammatory drug NSAIDs, and the number of the components of the anti-inflammatory drug is 20-40 parts. By utilizing the synergistic effect of various active ingredients, the traditional Chinese medicine composition can comprehensively improve the symptoms of a patient, relieve pain, improve sleep and improve the cognitive function, thereby delaying neurodegenerative diseases and being beneficial to improving the functional state of neurons.

The invention belongs to the technical field of robot cognition, and particularly relates to an inter-article task relation detection method based on deep learning. An adopted task relation detection model comprises a pre-training feature extraction network, an RPN network, an EMA attention module, a three-feature fusion module and a reasoning module. The pre-training feature extraction network performs feature extraction on an input image, the RPN network generates a candidate frame of an object, and a shared sub-graph is obtained through the candidate frame; performing region-of-interest pooling operation on the candidate frame and the shared sub-graph of the object to obtain object features and sub-graph features; performing feature extraction on two object features and one subgraph feature corresponding to the task relationship through an EMA attention module to obtain subject object features, relationship features and object object features; inputting the subject object features, the relation features and the object object features into a three-feature fusion module for fusion to obtain fused relation features; the subject object features, the object object features and the fused relation features are subjected to task relation reasoning through a reasoning module, and a predicted task relation is obtained; and performing category reasoning on the subject and object features through a reasoning module to obtain a prediction category of the object. The method can effectively detect the potential task relationship between the articles, and is used for guiding the task operation of the robot.

The invention relates to the technical field of drug addiction treatment, in particular to a drug addiction treatment system combining virtual reality technology and psychological guidance, which comprises a data acquisition unit, a drug addiction evaluation unit, a virtual equipment debugging unit, a VR scene generation unit, a man-machine interaction unit, a stage evaluation unit and a comprehensive evaluation and optimization unit, the drug taking record data and a preset drug rehabilitation strategy are processed through a virtual device debugging unit, virtual devices are debugged, and a plurality of virtual scenes corresponding to the preset drug rehabilitation strategy are selected so as to fit the life scene of a drug rehabilitation person, and the experience feeling of the drug rehabilitation person is enhanced; and replacing the face image of the drug addict in the video data corresponding to each virtual scene with the face image of the drug addict through a VR scene generation unit. Through coordination and cooperation of the units, a complete drug rehabilitation system combining virtual reality and psychological counseling is formulated, the problem that a traditional drug rehabilitation method is poor in drug rehabilitation effect is solved, and the relapse probability of drug rehabilitation personnel is reduced.

This application discloses a vehicle driving path planning method and electronic device, relating to the field of vehicle control technology. The method includes: acquiring image data of the vehicle driving environment from at least two angles; processing the image data using a preset image processing strategy to obtain the location information of pothole regions. The preset image processing strategy processes the image data in the following order: image closing operation, image opening operation, edge detection, color segmentation, and contour detection; calculating the depth information of the pothole regions based on the image data and the location information of the pothole regions; and determining adjustment parameters for the vehicle driving path based on the location information of the pothole regions, the current vehicle speed, and the depth information of the pothole regions, thereby planning the vehicle driving path based on the adjustment parameters. This application's method achieves low-cost, high-real-time, and high-precision intelligent driving path planning in complex road environments, significantly improving vehicle driving safety and passenger comfort.

The present application belongs to the field of microbial technology, and particularly relates to a synbiotic preparation of lactobacillus helveticus, a preparation method and application thereof. The synbiotic preparation of lactobacillus helveticus provided by the present application is a microcapsule preparation prepared by embedding lactobacillus helveticus as probiotics and sialylated human milk oligosaccharide as prebiotics in turn by using sodium alginate and chitosan. The lactobacillus helveticus is lactobacillus helveticus HL88. The lactobacillus helveticus HL88 used in the present application has better lysis activity on sialylated human milk oligosaccharide, and can effectively improve the utilization efficiency of sialylated human milk oligosaccharide. Further, the lactobacillus helveticus and sialylated human milk oligosaccharide are complexly embedded in the present application, which can play a synergistic metabolic role, thereby effectively promoting the brain development process. Therefore, the present application can provide a treatment idea for improving brain development retardation, and can provide a technical basis for developing probiotic drugs for promoting brain development.

The application discloses a transformer fault prediction method and system, and relates to the technical field of power equipment.The method comprises the following steps: collecting the start-stop action times of each time window, and determining the temperature control response lag coefficient of each time window by analyzing the temperature control lag level of the cooling control system in the power transformer when the cooling control system faces power mutation; analyzing the non-steady-state operation degree of the cooling control system in the corresponding time window to determine whether the temperature control state of the cooling control system affects the normal operation of the power transformer, and issuing a transformer fault prediction instruction; combining the power consumption drift and voltage frequency spectrum disturbance of the power transformer in each time window, analyzing the non-normal operation degree of the power transformer in the corresponding time window, performing digital model analysis on the non-normal operation index of the power transformer in each time window, generating a corresponding grade fault prediction signal, and performing corresponding voice broadcast reminding.

The application discloses a long-time sequence high-resolution ecosystem mapping method based on multi-source satellite image fusion, belongs to the technical field of remote sensing monitoring and geographic information, and comprises the following steps: constructing a double-feature verification model, fusing the texture features of historical high-resolution satellite remote sensing single-band panchromatic images and the phenology spectral features of synchronous multi-spectral images, and realizing accurate classification of historical ground objects; adopting a panchromatic sharpening algorithm to fuse the multi-spectral images of medium-resolution satellite remote sensing and the high-resolution single-band panchromatic images in a transition period, and generating a high-resolution multi-spectral data set; completing monitoring based on modern period original high-resolution images; and finally, performing space-time normalization through unified geographic grids and minimum mapping units. According to the satellite remote sensing images accumulated at present, the application can reconstruct an ecosystem evolution track with a time length of more than 60 years, rich spatial details and high space-time consistency.

This utility model discloses an engineering toy vehicle, including a front end and a vehicle platform. A transmission bracket and a hopper are connected to the top surface of the vehicle platform. A transmission track is installed inside the transmission bracket. One end of the transmission bracket is fitted into the opening on the back of the hopper. A discharge port is provided at the bottom of the hopper, and the position of the discharge port corresponds to the position of the transmission track embedded inside the hopper. The inner wall of the hopper is provided with gathering slopes, and the gathering slopes are all inclined towards the discharge port. Through the integrated structure and precise component matching, the engineering toy vehicle's function and carrier are highly coordinated. The inclined and gathering inner wall of the hopper ensures that sand and gravel fall smoothly, while the transmission track with partitions effectively prevents materials from slipping. This not only greatly improves the smoothness and reliability of the toy's operation, but also enhances children's cognitive experience of the working principle of engineering vehicles through a highly simulated mechanical transmission structure. At the same time, the modular design takes into account both the structural stability and the fun of the game.

The invention provides a remote sensing image-text retrieval method based on self-adaptive local knowledge filling. The method comprises the following steps: step 1) creating a remote sensing image-text database; the method specifically comprises the following steps: collecting a plurality of remote sensing images from a plurality of remote sensing data sources to form a remote sensing image-text data set; dividing a plurality of remote sensing images in the remote sensing image-text data set into a training data set, a verification data set and a test data set according to a certain proportion; 2) training a CLIP model by using the remote sensing image-text data set; 3) training an adaptive network by using the remote sensing image-text data set; 4) performing retrieval test on downstream images and texts by using the remote sensing image and text data set; according to the method, text modals are supplemented for the remote sensing field and local knowledge is adaptively supplemented in retrieval by using the multi-modal large language model, and rich and accurate semantic support is provided for image-text retrieval in the remote sensing field.

The utility model discloses a lettering educational toy which comprises a box body, the box body comprises a first box body and a second box body which are connected with each other, and the first box body and the second box body can be closed and unfolded; a first storage table is arranged in the first box body, a first groove is formed in the first storage table, and a plurality of cards are placed in the first groove; a second storage table is arranged on the second box body, and a plurality of second grooves and a plurality of third grooves are formed in the second storage table; stamps are placed in the second grooves respectively, and the colors of the inkpad boxes are different. A box of inkpad is placed in each third groove. The lettering educational toy provided by the utility model integrates two functions of literacy and color recognition, and is stronger in interestingness; the structural design is reasonable, and storage is convenient.

The invention relates to the field of nerve regulation and control, in particular to a nerve regulation and control method for improving memory and cognitive competence, which comprises the following steps: injecting adenovirus into a PVT brain region of a mammal, and activating the adenovirus through chemical stimulation to inhibit neuronal activity of the PVT brain region, so that the cognitive competence and memory of the mammal can be improved.

The control system of the engineering machinery of the present invention includes: an upper camera mounted on the cab of the rear vehicle body to capture images of the front of the cab; a lower camera mounted on the front body rotatably connected to the rear vehicle body to capture images of the front of the front vehicle body; an angle information detection unit for detecting bending angle information of the front vehicle body relative to the rear vehicle body; an image processing device for combining a first image and a second image captured by the upper camera and the lower camera into a single image, and setting the position of a transparent processing area of ​​at least one of the first image and the second image in the composite image based on the bending angle information obtained from the angle information detection unit; and a display device for displaying the composite image synthesized by the image processing device.

The invention discloses an intelligent detection method and system for electric power field safety operation. Historical image data of an electric power field safety operation scene are collected; image data is used to carry out fully supervised training on the YOLO model, and a fixed category target is identified; based on the image data, constructing a multi-modal data set based on an electric power security rule knowledge graph; performing fine tuning training on a YOLO-World model by using the preprocessed multi-modal data set, and identifying an open category target; acquiring real-time image data, preprocessing the real-time image data, and inputting the preprocessed real-time image data into the trained YOLO model and the trained YOLO-World model; removing overlapping frames from the recognition results of the two models and then outputting a final detection result; performing compliance comprehensive analysis on the final detection result; and according to an analysis result, judging whether to prompt or give an alarm. According to the method, a fixed category target can be accurately identified, a variable category or a new target can be flexibly handled, and fine tuning training of the model is carried out by constructing a data set driven by a knowledge graph based on an electric power safety rule, so that the adaptability and accuracy of the system are improved.

The utility model discloses a children's sliding walking aid, which comprises a vehicle body and a front vehicle cover; the front vehicle cover is movably connected to the middle part of the vehicle body, and the front vehicle cover and the vehicle body enclose a cavity. Under the premise of limited space at the front of the children's walking aid and interference from a steering wheel or a grip, the utility model provides a front vehicle cover movably connected to the vehicle body at the front of the vehicle, so that the front vehicle cover can be opened relative to the vehicle body. On the basis that the vehicle body can perform the basic walking aid function of the walking aid, it can guide children to have a correct, practical and logical understanding of the structure of a car.

The application discloses a child camera, which comprises a shell, a main control module arranged in the shell, a camera module, a display module and an audio module which are electrically connected to the main control module respectively, the camera module and the display module are arranged on opposite two end faces of the shell respectively, the camera module comprises at least two cameras, at least one of which has an optical zoom function, the main control module is further communicatively connected to an object recognition module, the object recognition module is adapted to recognize objects in images captured by at least one of the cameras and acquire text, picture and / or sound information related to the objects, and the main control module is adapted to receive the relevant text, picture and / or sound information and control the display module to display the text and / or the picture and control the audio module to play the sound information, so as to help children understand the name, characteristics, use and other information of the objects and promote the improvement of their cognitive ability.

This utility model discloses a foldable, storage-friendly cylindrical children's play tunnel, relating to the field of children's toy technology. It includes a crawling tunnel toy, an inner tunnel cylinder, decorative leaves, and side support plates. The inner tunnel cylinder is fitted to the inner wall of the crawling tunnel toy. When in use, the inner wall of the inner tunnel cylinder features various patterns, making it easy for infants to observe and judge the shapes while crawling, thus enhancing their cognitive abilities. The inner tunnel cylinder is composed of multiple sections, each made of different materials, which can exercise the infant's tactile senses. Furthermore, the inner tunnel cylinder, through a component controller, can drive a twisting tube to make the crawling tunnel toy twist, increasing the enjoyment for the infant while crawling. Simultaneously, the chip inside the component controller has recording and voice-controlled playback functions, enhancing the infant's auditory and visual perception abilities and increasing the tunnel toy's fun and cost-effectiveness.

The invention discloses an emulsion simulating a breast milk fat globule structure and a preparation method and application thereof. The emulsion comprises the following raw materials in parts by weight: 3 parts of milk fat globule membrane phospholipid, 6 parts of whey protein, 4 parts of casein, 45 parts of lactose and 1 part of compound vegetable oil. The preparation method comprises the following steps: (1) preparing milk fat globule membrane phospholipid; (2) mixing with whey protein, dissolving in water, adding casein and lactose, stirring for hydration, homogenizing at high pressure, and adjusting pH; and (3) adding the compound vegetable oil, emulsifying, shearing, homogenizing at high pressure, and adjusting the pH value. The milk provided by the invention is beneficial to digestion, absorption and utilization of lipid by infants, promotes the absorption of fatty acid by the infants, also has positive help to reduce the difference between nutrition and health of infant formula milk powder and breast milk, and is suitable for research and development of infant formula milk powder.