17results about How to "Enhance memory" patented technology

The application belongs to the field of medical image recognition and relates to an esophageal lesion image recognition method based on a deep neural network, which comprises the following steps: step 1, processing actual digestive endoscopy video data to construct training data; step 2, constructing a deep neural network model and training the deep neural network model through the training data to obtain an early esophageal cancer recognition model; step 3, inputting digestive endoscopy video data to be detected into the early esophageal cancer recognition model, and the early esophageal cancer recognition model judging whether there is a suspected esophageal cancer lesion and outputting a lesion judgment result; the lesion judgment result comprising a spatial position and a progression stage of the lesion; the method models the time sequence dynamics of lesion characteristics in the endoscopy recognition process, and combines a graph neural network to depict the feature correlation of early esophageal squamous cell carcinoma under multi-view conditions, so as to improve the recognition accuracy, consistency and robustness of the model in a real clinical application scenario.

The application discloses collagen tripeptide and a preparation method and application thereof, and belongs to the technical field of bioengineering. The preparation method comprises the following steps: obtaining bacillus velezensis with high collagenase yield through separation and identification, the bacillus velezensis belongs to probiotics, and high-activity collagenase is obtained through fermentation culture and purification; taking shark cartilage or blue fish skin as raw materials, and obtaining collagen tripeptide through the following steps of combined enzymolysis of alkaline protease and collagenase after pretreatment, inactivation, centrifugal separation and freeze-drying. The collagen tripeptide prepared by the application has a molecular weight of less than 500 Dalton, contains active components such as GHK tripeptide, is easy to absorb and has high safety, and can be used for preparing antioxidant products, anti-inflammatory products, memory-enhancing products or immunity-enhancing products. The application solves the problems of unsafe collagenase source and low collagen tripeptide preparation efficiency, and has a good industrial application prospect.

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 application provides a composition for improving memory and reducing blood lipid, a preparation method and application thereof, and belongs to the technical field of food, health care products and medicines. In order to solve the problems in the prior art, such as too simple components of health care products with the functions of reducing blood lipid or improving memory, difficulty in achieving the effect, too complex formula, large dosage, lack of function and safety evaluation, and difficulty in evaluating the effect, the application provides a composition which is mainly composed of walnut oil, soybean phospholipid, ginkgo leaf extract and natural vitamin E as raw materials, and suitable excipients, wherein the excipients are soybean oil, beeswax, gelatin, glycerol, purified water, titanium dioxide and cocoa shell pigment. The scientific and reasonable production process is adopted to process the suitable product, so that the function and effect of reducing blood lipid and improving memory are achieved.

The invention discloses an instant composition for assisting in improving memory and application of the instant composition. The traditional Chinese medicine composition comprises the following raw materials in parts by mass: 5-10 parts of thunberg fritillary bulb, 3-10 parts of allium macrostemon, 1-3 parts of turmeric, 10-20 parts of salvia miltiorrhiza, 5-10 parts of red peony root, 3-10 parts of peach kernel, 2-10 parts of safflower, 3-10 parts of immature bitter orange, 3-10 parts of mangnolia officinalis, 10-15 parts of rhizoma smilacis glabrae, 10-30 parts of prepared rehmannia root, 5-10 parts of Chinese yam, 4-10 parts of dogwood, 3-10 parts of rhizoma alismatis, 3-10 parts of radix achyranthis bidentatae, 3-10 parts of poria cocos and 3-10 parts of rhizoma atractylodis. Through the scientific compatibility of the selected 21 traditional Chinese medicines and the modern extraction and dosage form process, the multi-component and multi-target synergistic memory improvement is realized, and meanwhile, the traditional Chinese medicine composition has natural safety, efficient absorption and taking convenience.

The invention discloses a multi-machine multi-missile collaborative air combat decision-making method based on SM-HAPPO deep reinforcement learning, and relates to the technical field of air combat intelligent decision-making. Starting from a multi-aircraft multi-missile collaborative air combat decision-making method, a dynamic model of an aircraft, a missile guidance model and an air combat situation model are established, and simulation of a complex environment is achieved. For collaborative decision-making of isomorphic or heterogeneous aircrafts, a PPO algorithm is expanded to the field of heterogeneous agents, a GRU-based state memory module is introduced, and an SM-HAPPO algorithm suitable for deep reinforcement learning of the heterogeneous agents is provided. In the strategy network, a loss function with a mask mechanism and a strategy entropy regular term is introduced, and the stability and exploratory performance of the algorithm are improved. Finally, a simulation experiment of aircraft collaborative air combat decision making is completed in a python environment, and it is proved that compared with a traditional intelligent algorithm, the collaborative decision making capacity and the air combat winning rate of the unmanned aerial vehicle can be further improved.

The invention relates to the technical field of Chinese herbal medicines, and particularly discloses a Chinese herbal medicine tea for supplementing necessary nutrients for human body deficiency and a preparation method thereof.The Chinese herbal medicine tea is prepared from, by weight, 2-5% of stevia rebaudiana leaves, 6-9% of fructus lycii, 5-7% of hippophae rhamnoides, 7-9% of rhizoma cyperi, 3-6% of basil leaves, 6-9% of siraitia grosvenorii seeds, 5-7% of codonopsis pilosula and 14-16% of endothelium corneum gigeriae galli. The composition is prepared from the following raw materials in percentage by weight: 6-9% of dogwood, 6-9% of wild jujube pulp, 4-6% of frosted perilla fruit, 5-7% of rose buds, 8-10% of dried beancurd stick skin, 2-4% of sonchus oleraceus, 2-4% of yuan mushroom and 2-5% of sweet pepper. Various raw materials are selected and processed to prepare the tea bag, tea water of the tea bag can effectively supplement various nutrient substances and trace elements which are lacked and necessary for the body of a drinker, enhance the viscera function and physical quality of the drinker, improve memory, tonify qi and blood, promote blood circulation to remove blood stasis, regulate cold, heat, yin and yang, relieve nerves and regulate mood, and meanwhile the tea drink is fresh and sweet and has a good health care effect. The tea bag disclosed by the invention is simple to prepare and beneficial to popularization.

The invention belongs to the technical field of deep reinforcement learning, and discloses a multi-agent multi-task collaborative reinforcement learning method based on a space-time fusion architecture, and the method comprises the steps: 1, initializing a task sampling probability, and forming an entity embedding vector sequence and a task embedding vector; step 2, inputting the entity embedding vector sequence and the task embedding vector into an anti-noise feature extraction layer to obtain deep time sequence features; 3, generating a dynamic weight matrix in real time, and obtaining a local Q value output by the intelligent agent; 4, the Transform hybrid network receives a global state vector, a task embedding vector and a local Q sequence of the environment, and gives a global action value; 5, calculating the total loss, and 6, based on the total loss, training an optimization unit to update whole network parameters, and meanwhile, judging whether a preset evaluation round is reached or not. The method has higher anti-interference capability and more stable control performance, and realizes adaptive control of multiple heterogeneous tasks.

The utility model provides a children's toy suit capable of being stored, and relates to the technical field of children's toys, the children's toy suit comprises a beehive, a plush bee toy arranged in the beehive, a handle installed at the top of the beehive, and a storage assembly arranged in the beehive, the storage assembly comprises a storage cavity, an opening, a cover stop block, a limiting belt, a magic tape a and a magic tape b, the broadcasting assembly is arranged at the bottom of the beehive. According to the children's toy set capable of being stored, plush bee toys can be conveniently placed in the storage cavity for storage through the storage assembly, the operational ability of children can be exercised, the beehive and the plush bee toys can be combined for storage, and the purpose of convenient use is achieved; children's songs and music can be played through the broadcasting assembly to help the children to adjust moods, the children feel more pleasant and relaxed during playing, language learning of the children is facilitated, memory is improved, and the fun of the children is improved.

The utility model discloses an advertisement display device, and relates to the technical field of display devices.The advertisement display device comprises a cubic frame, a display screen set, a rotating module and a telescopic matrix module, the cubic frame is provided with six installation faces, and one vertex angle of the cubic frame is connected with a base; the display screen groups are respectively arranged on six mounting surfaces of the cubic frame; the rotating module is arranged on the base so as to drive the cubic frame to rotate around a first axis, and the first axis is perpendicular to the mounting surface of the base; the telescopic matrix module is arranged on at least one mounting surface and comprises a plurality of telescopic rods and driving parts arranged corresponding to the telescopic rods, the display screen group corresponding to the telescopic matrix module comprises a plurality of splicing screens, the splicing screens and the telescopic rods are arranged in a one-to-one correspondence mode, and the driving parts are arranged corresponding to the splicing screens in a one-to-one correspondence mode. The telescopic rod is driven by the driving piece to drive the splicing screen to move in a telescopic mode. According to the technical scheme, information can be displayed in multiple directions.

This invention discloses a recurrent neural network physical architecture based on artificial surface plasmon supercells, relating to the interdisciplinary fields of metamaterials, surface plasmons, and brain-like computing. The architecture consists of multiple identical planar network layers stacked sequentially in the vertical direction. Each layer includes a dielectric substrate (1), an SSPP supercell array (2), a bi-line divider (3), and a combiner (4). The SSPP supercell array is connected to inter-layer feedback links via vias. Its output is divided into an output path and a feedback path by a bi-line divider. The feedback path integrates an RF amplifier (5) for gain compensation and transmits the signal across layers to the combiner in the next layer for vector superposition with the new input signal. This architecture integrates temporal feature extraction, nonlinear modulation, and recursive computation, possessing ultra-high-speed parallel processing capabilities, and can effectively realize deep fusion and associative decision-making of multimodal information based on the nonlinear coherence effect of SSPP waves.

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.

The invention discloses a method and device for guiding a user to learn, electronic equipment, a medium and a product. The method comprises the steps that in response to a learning instruction, a first knowledge set and a second knowledge set are obtained, the first knowledge set comprises learned knowledge, and the second knowledge set comprises unlearned knowledge; selecting target knowledge from the first knowledge set and / or the second knowledge set according to the knowledge quantity of the first knowledge set and / or the knowledge quantity of the second knowledge set; and displaying the target knowledge, and guiding the user to learn the target knowledge through the artificial intelligence model. According to the technical scheme, according to the knowledge quantity of the learned knowledge and / or the knowledge quantity of the unlearned knowledge, the unlearned knowledge can be flexibly selected for the user to learn, or the learned knowledge can be selected for the user to consolidate and review, so that the user is guided to carry out scientific and reasonable learning, the user can learn new knowledge and also can review the learned knowledge, and the user experience is improved. The flexibility of guiding the user to learn is improved, and the learning and memorizing effects are enhanced.

This invention discloses the use of *Physalis alkekengi* oil in the preparation of drugs for the prevention and / or treatment of neurodegenerative diseases, belonging to the field of biomedical technology. The *Physalis alkekengi* oil of this invention is obtained by supercritical CO2 extraction, containing 2.16 g / 100g of EPA, 0.0104 g / 100g of nervonic acid, and a total unsaturated fatty acid content of 49.1 g / 100g. *Physalis alkekengi* oil exerts neuroprotective effects through multiple pathways, including inhibiting β-amyloid protein deposition, reducing neuronal apoptosis, alleviating neuroinflammation, and protecting dopaminergic neurons. It can effectively counteract neuronal damage caused by excitotoxicity and oxidative stress, significantly improve spatial learning and memory abilities, and alleviate cognitive decline. This invention provides a highly efficient and safe drug option for the prevention and treatment of neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease.

The embodiment of the invention provides an image processing method and device, electronic equipment and a storage medium, and relates to the technical field of computer processing. The method comprises the following steps: in response to an image processing request, obtaining a to-be-processed image, the to-be-processed image comprising a target object; determining a target distance value from a plurality of image pixel points in the to-be-processed image to an object boundary of the target object, and determining a target pixel point corresponding to the target object in the plurality of image pixel points according to the target distance value; and determining a shadow pixel value of the target object acting on the target pixel point according to a preset color, determining a target image according to the shadow pixel value corresponding to the target pixel point, and displaying the target image. According to the technical scheme provided by the embodiment of the invention, the shadow effect can be quickly and effectively added to the target object in the to-be-processed image under the conditions of relatively small memory occupation and relatively low operation complexity, and the image display effect is enriched.

The invention provides a composition for improving memory as well as a preparation method and application thereof, and belongs to the technical field of biology. The invention provides a composition with effects of assisting in improving memory and relieving visual fatigue. The composition is prepared from the following raw materials in parts by weight: 300 to 330 parts of DHA algal oil, 35 to 50 parts of arachidonic acid grease, 4 to 10 parts of phosphatidylserine and 4 to 9 parts of L-alpha-choline alfoscerate. According to the composition disclosed by the invention, functional grease (DHA algal oil and arachidonic acid grease), phospholipid substances (phosphatidylserine and L-alpha-choline alfoscerate) and medicinal and edible raw materials (gastrodia elata, American ginseng and ginseng) are scientifically matched, and all the components have a synergistic effect and complementary advantages, so that the dual effects of assisting in improving memory and relieving visual fatigue are realized; the safety is high, the bioavailability is good, the multi-target synergistic interaction is realized, and the memory improvement effect is obvious.