45 results about "Spatial learning" patented technology

The invention discloses a multi-frame photoacoustic image reconstruction method based on optical flow alignment and depth feature fusion. The method comprises the following steps: S1, obtaining photoacoustic signal data; s2, reconstructing a photoacoustic cross-sectional image; s3, performing optical flow calculation and image alignment; and S4, training the deep feature fusion network. According to the method, through optical flow motion correction and a potential space learning mechanism, space-time information and complementary features in the aligned multiple frames of images are dynamically integrated, complementary information in the multiple frames of images is adaptively fused, noise is suppressed, and finally reconstruction of high signal-to-noise ratio and high spatial resolution images of biological tissues is achieved. Experimental results show that the method can significantly improve image quality, recover image distortion and detail loss caused by motion and noise, and provide a new effective scheme for promoting robust clinical application of a photoacoustic imaging technology.

The invention discloses an emotion recognition method based on multi-band Riemannian manifold space learning, and belongs to the technical field of biological signal recognition, and the method comprises the steps: carrying out the self-adaptive frequency band division of an original signal through variational mode decomposition, restraining the mode aliasing, and extracting a multi-band sub-signal; further mapping the sub-signals to a Riemannian manifold space by using a multivariate phase space reconstruction + Riemannian manifold regularization Fisher discriminant analysis module, representing the geometrical characteristics of the signals through a covariance matrix, enhancing the characteristic separability by combining tangent space projection and discriminant analysis, and fusing the characteristic vectors by using an attention mechanism to obtain a multi-element phase space reconstruction and Riemannian manifold regularization Fisher discriminant analysis model; and finally, inputting the fused feature vectors into a classification model constructed by a graph convolutional neural network, and carrying out classification processing. According to the method, the problems of insufficient utilization of frequency band information and weak manifold feature discrimination in traditional emotion recognition are effectively solved, and the recognition precision and robustness are remarkably improved in scenes such as physiological signals.

The invention provides a traditional Chinese medicine preparation for improving or treating cognitive impairment, and relates to the technical field of traditional Chinese medicine pharmacy, and the traditional Chinese medicine preparation is prepared from morinda officinalis, eclipta, semen boitae, fructus alpiniae oxyphyllae, bighead atractylodes rhizome, valerian, turmeric, rhizoma acori graminei, leech, rhizoma anemarrhenae, dendrobium officinale, endothelium corneum gigeriae galli, hematoxylon and honey-fried licorice root. The traditional Chinese medicine preparation shows remarkable neuroprotection and cognition improvement effects on the cell level and the animal level, in the cell level, the preparation can effectively resist Abeta1-42 induced cell damage, and the protection effect is achieved through multiple ways of improving the cell activity, enhancing the oxidation resistance, inhibiting neuroinflammation and the like; in animal experiments, the preparation can comprehensively improve cognitive impairment of APP / PS1 model mice, including relieving behavioral abnormality, improving spatial learning and memory ability, enhancing new object recognition ability, and effectively reducing deposition of A beta in hippocampus on a molecular level. The invention provides a new thought for improving or treating cognitive impairment.

This invention relates to the fields of aerospace vehicle overall design, and discloses a structured subspace learning-based solid rocket performance-cost analysis method, comprising: constructing a model sample dataset; constructing a structured sparse subspace feature selection model by combining a similarity graph matrix, and solving it to obtain an optimized row sparse orthogonal projection matrix, wherein the row index of the non-zero row corresponds to the feature parameter in the model sample as the selected cost driving factor; constructing a training sample dataset for a surrogate model; calculating the corresponding specific delivery cost as the output response based on the training samples, and training the surrogate model; for each cost driving factor, constructing a prediction sample dataset by random sampling; using a sequential quadratic programming method to find the optimal prediction sample in the prediction sample dataset, and determining the prediction sample with the minimum specific delivery cost as the final solid rocket design scheme.

The invention relates to the technical field of learning and memory ability evaluation, and provides a mouse hippocampus learning and memory ability comprehensive evaluation method and system based on a Morris water maze, the method is different from a traditional method for evaluating learning and memory only through an incubation period, a mouse behavior character stability and swimming skill dual evaluation mechanism is innovatively introduced, and the method is suitable for comprehensive evaluation of learning and memory ability of a mouse hippocampus. And in combination with a training adaptation period, behavior path analysis and weighted scoring of multi-dimensional behavior indexes, precise quantification of the hippocampus dependency space learning and memory ability is realized. The experimental indexes comprise swimming speed, path length, target quadrant residence time and incubation period, and performing standardized calculation after weight assignment to generate a memory ability evaluation score. According to the invention, the scientificity, stability and experimental repeatability of an evaluation result are improved, and the method is suitable for mouse cognitive function evaluation under various research situations such as drug intervention, neurodegenerative disease models and the like.

The invention discloses a strain of lactobacillus acidophilus for treating chronic cerebral ischemia, which is preserved in the China Center for Type Culture Collection (CCTCC) and has the preservation number of CCTCC NO: M 20251505. Animal experiments show that the strain can reduce the death rate of chronic cerebral ischemia model mice and improve neurological impairment, motion coordination and spatial learning and memory ability of the chronic cerebral ischemia model mice. Mechanism research shows that the strain can increase histone acetylation and BDNF secretion by inhibiting the activity of astrocyte HDAC1, and meanwhile, can inhibit an NF-kappa B signal channel and reduce inflammatory factor release by activating a microglial cell GPR120 receptor, so that a neuroprotective effect is achieved through an'intestine-brain axis'. The invention provides a new candidate strain for the development of microbial preparations for preventing and / or treating chronic cerebral ischemia and related cognitive impairment.

The invention discloses application of lactobacillus rhamnosus to preparation of a product for improving cognitive impairment or neuroinflammation caused by chronic fatigue. The lactobacillus rhamnosus BD4047 is an edible safety strain, and can improve cognitive impairment of a chronic fatigue animal model by reversing short-term spatial learning memory ability and working memory ability; by improving the indole level, lowering the IL-33 level and balancing intestinal flora, the neuroinflammation of a chronic fatigue animal model is relieved, so that the lactobacillus rhamnosus BD4047 can be used as an active ingredient for developing functional foods such as fermented milk, lactobacillus beverages, probiotic powder, viable bacteria water, milk powder and cheese, and has large-scale production and market popularization prospects.

The invention discloses a nutritional composition for promoting brain development and application thereof, and relates to the technical field of biological medicines. The compound composition is selected from a composition A (melatonin + uridylic acid + inositol), a composition B (melatonin + uridylic acid) and a composition C (uridylic acid + inositol). Experiments prove that the combination B can significantly improve elevated anxiety behaviors and learning and memory ability caused by rhythm disorder, the combination C can significantly improve open field anxiety behaviors caused by rhythm disorder, and the combination A can significantly relieve anxiety behaviors (including elevated and open field) and spatial learning and memory ability disorder caused by rhythm disorder at the same time. The active components in the compound composition disclosed by the invention are remarkable in synergistic effect, high in safety and good in biocompatibility, and can be used for preparing medicines, food additives or feed additives for improving rhythm disorder related brain dysplasia.

The invention discloses application of Cacumen biotae-derived extracellular vesicles in preparation of drugs for treating anxiety, depression or insomnia. The EVs are separated and purified from cacumen biotae through a specific differential ultracentrifugation method, the EVs have a typical double-layer membrane structure, the average particle size is about 100 nm, about 1012 EVs can be extracted from each gram of cacumen biotae, and 62 volatile components are contained. Cacumen biotae EVs can be taken by PC12 cells, and corticosterone-induced neuron damage can be relieved; for chronic constraint stress model mice, anxiety behaviors and spatial learning and memory disorders can be improved, and central nervous inflammation can be inhibited; for chronic unpredictable mild stress model mice, the weight, the sucrose preference rate and the cognitive ability can be recovered, and the levels of 5-hydroxytryptamine and gamma-aminobutyric acid are increased; and for 4-chloro-DL-phenylalanine induced insomnia model mice, the sleep condition can be improved, the neurotransmitter level can be recovered, and the effect is equivalent to that of positive drugs such as citalopram, fluoxetine, diazepam and the like.

The invention discloses calf animal coccus PD13 for improving Alzheimer's disease and application of the calf animal coccus PD13, and relates to the technical field of biology. Experiments prove that in an Alzheimer's disease model mouse induced by injecting A beta oligomer into the brain, the Azococcus calvus PD13 can improve spatial learning and memory disorder and autonomous exploration ability of the AD model mouse and relieve damage to neurons in a hippocampal region of the Alzheimer's disease model mouse, so that the effect of protecting the neurons is achieved, and the Azococcus calvus PD13 can be used for preparing a medicine for treating the Alzheimer's disease. According to the present invention, with the application of the animal coccus calves, the content of glutathione in mouse serum and the enzyme activity of superoxide dismutase are increased, and the content of malondialdehyde is reduced, such that the animal coccus calves provides good prevention and treatment effects on the Alzheimer's disease, and the new approach is provided for developing the Alzheimer's disease-related drugs.

The invention relates to the technical field of traditional Chinese medicine compositions and cosmetics, and discloses an anti-aging traditional Chinese medicine compound composition which is prepared from cistanche, radix achyranthis bidentatae, eucommia ulmoides, dendrobium flowers, polygala tenuifolia, roses, Chinese yam, angelica sinensis, salvia miltiorrhiza and liquorice. The traditional Chinese medicine compound composition prepared by the method can significantly inhibit the activity of an intracellular senescence marker beta-galactosidase and the expression of P16 or P21, improve the oxidation resistance of cells, improve the spatial learning and memory ability of senescent mice and recover the cardiac ejection ability of mice, exert a significant anti-senescence effect, and has good application prospects. The method has great popularization and application values.

The invention relates to the field of bearing fault diagnosis, in particular to a variable-speed bearing fault diagnosis method based on physical feature guidance and dynamic tensor projection. The method comprises the following steps: acquiring a speed change historical time domain vibration signal when a bearing has a fault; an AWFE-CDSP-DDPL fault diagnosis model is constructed, and a fault diagnosis model is constructed; historical time domain vibration signals are divided into a training set and a test set by adopting a sliding window technology, and the AWFE-CDSP-DDPL fault diagnosis model is trained by using the training set; and obtaining a current variable speed time domain vibration signal of the bearing, and inputting the current variable speed time domain vibration signal into the trained AWFE-CDSP-DDPL fault diagnosis model to complete fault diagnosis. By means of the signal processing technology and the subspace learning method, the convolutional neural network is endowed with certain physical significance, meanwhile, the influence of the rotating speed is eliminated in network module construction, the bearing fault diagnosis precision under the variable speed condition is improved, and the research and economic production efficiency is improved.

The application relates to the technical field of animal learning ability testing, in particular to a ring-shaped runway for detecting the space learning and memory ability of small animals, which comprises a ring-shaped bottom plate, an inner baffle is arranged on one side of the inner ring of the ring-shaped bottom plate, an outer baffle is arranged on one side of the outer ring of the ring-shaped bottom plate, an experimental area for placing experimental objects is arranged on the ring-shaped bottom plate, and a water drinking area for water drinking of research objects is arranged on the ring-shaped bottom plate. The application has the beneficial effect that in the behavioral study of animal space memory, the application can reduce the information interference suffered by the research objects and can truly reflect the space memory of the research objects under normal conditions.

This invention discloses a remote sensing image wind turbine detection method based on attention mechanisms and feature alignment, relating to the fields of computer vision and remote sensing. The method includes inputting the acquired remote sensing wind turbine image into a deep residual network; sequentially passing the image through layers C2, C3, C4, and C5 of the deep residual network to extract feature maps at different scales; performing feature enhancement on the feature map extracted by layer C5 using a thresholding attention module with cross-spatial learning; inputting the features extracted by layers C3 and C4, and the features enhanced by layer C5 (using layer S2), into a feature pyramid after passing through a two-branch semantic flow alignment module; connecting each layer of the pyramid feature layers aligned by process S3 to a detection head, and finally outputting the detection result. This invention helps reduce background interference while preserving local information of the wind turbine, and utilizes spatial transformation techniques for precise alignment, thereby improving the accuracy of feature fusion and increasing the accuracy of the detection results.

The invention provides application of a compound shown in a formula I or pharmaceutically acceptable salt thereof and / or hyodeoxycholic acid or pharmaceutically acceptable salt thereof in preparation of a medicine for preventing, delaying or treating cognitive dysfunction and / or motor dysfunction. Muscle strength, athletic ability, active exploration ability and spatial learning and memory ability can be effectively improved, antioxidant pressure resistance and proinflammatory state can be improved, expression of neurotrophic factors is increased, and nerve injury repair is improved.

The invention belongs to the technical field of microorganisms, and particularly relates to application of lactobacillus plantarum LLY-606 in preparation of a product for improving the body capacity and a composition. The invention aims to solve the problem of lack of probiotics with the corresponding effects. The strain is proved to be capable of remarkably improving the survival rate of an aging model animal and comprehensively improving the working memory, spatial learning and recognition memory ability of the aging model animal. The action mechanism is that systemic neuroinflammation is effectively inhibited through an intestine-brain axis, and the level of proinflammatory factors in serum is remarkably reduced, so that a safe and effective new scheme for resisting aging and improving cognition is provided.

The invention relates to the related technical field of vision regulation and control, in particular to a regulation and control device based on low-frequency flickering red light and a use method. The regulation and control device comprises a light source unit, a control unit, a carrier structure and an auxiliary module; the low-frequency flicker mode simulates the physiological rhythm of a visual system, the visual neural pathway and ciliary muscles are more easily activated compared with continuous light, the visual acuity improvement amplitude is improved by 30% or above compared with traditional red light equipment, and the adjustment lag is reduced by 25%; the nerve activation effect of the 40Hz frequency group is consistent with the PV neuron experiment of the Southern Science and Technology University, the space learning ability can be enhanced, the adaptation rate of sensitive people reaches 98% or above, and the short-time design of 3-5 minutes fits fragmentation time and adapts to home, travel and office scenes; the wavelength stability of the LED light source is + / -10nm, and the modular control design enables the consistency error of batch production to be 1t; 5%; aBS + PC materials are anti-falling and durable, heat dissipation holes are matched with aluminum cooling fins, it is ensured that the running temperature of equipment is smaller than or equal to 40 DEG C, and large-scale production and daily use reliability are both considered.

The invention discloses application of an NLRP3 inhibitor in preparation of a medicine for treating cognitive impairment of diabetes, and belongs to the technical field of medicines. And the NLRP3 inhibitor is 1, 2, 4-trimethoxybenzene (ZY16), and the NLRP3 inhibitor is 1, 2, 4-trimethoxybenzene. Experimental results show that 1, 2, 4-trimethoxybenzene can effectively relieve cognitive impairment of diabetes mellitus by inhibiting activation of NLRP3 inflammasomes, reducing blood sugar level, improving insulin resistance and glycolipid metabolism, relieving neuroinflammation and oxidative stress, improving pathological damage of hippocampus tissues and improving spatial learning and memory ability of model animals. The invention provides a new effective way for clinical treatment of cognitive impairment of diabetes, and has important clinical application value.

The invention discloses Weissella sinus PD13 for improving Alzheimer's disease and application of the Weissella sinus PD13, and relates to the technical field of biological medicine. Experiments prove that Weissella cibaria PD13 can improve spatial learning and memory impairment and autonomous exploration ability of AD model mice in Alzheimer's disease model mice induced by brain injection of A beta oligomer, and alleviate damage of neurons in hippocampal regions of the Alzheimer's disease model mice, so that the effect of protecting neurons is achieved, and the Weissella cibaria PD13 can be used for preparing drugs for treating Alzheimer's disease. According to the present invention, the Weissella cibaricola can effectively prevent and treat the Alzheimer's disease, increase the glutathione content and the superoxide dismutase enzyme activity of the mouse serum, and reduce the malondialdehyde content, such that the Weissella cibaricola has good prevention and treatment effects on the Alzheimer's disease, and the new approach is provided for developing the Alzheimer's disease-related drugs.

This invention relates to the field of computer vision technology, specifically disclosing a robust point cloud registration method and system based on block-aware serialization spatial learning. Addressing the problems of high computational complexity, noise sensitivity, and poor registration performance in partially overlapping scenes, existing methods employ a point cloud registration network comprising a segmentation and serialization module, a backbone network (encoder-decoder structure), and a dual-dominating head. The segmentation and serialization module divides the point cloud into multiple independent blocks and serializes them to maintain spatial locality; the encoder extracts multi-scale block-level features layer by layer; the decoder further aggregates contextual information; and the dual-dominating head predicts rotation quaternions and translation vectors respectively. Experiments show that this invention outperforms traditional iterative methods and existing deep learning models in registration accuracy, maintains stable performance in noisy environments and low-overlap scenes, and possesses high inference efficiency and low memory usage.

The invention belongs to the technical field of medical treatment, and relates to a method for constructing an animal traumatic brain injury model based on low-intensity pulsed ultrasound regulation and application thereof. The method comprises the following steps: (1) establishing a TBI mouse by adopting controlled cortical injury so as to simulate neurological impairment caused by open brain trauma; (2) setting low-intensity pulse ultrasonic conditions, and performing low-intensity pulse ultrasonic treatment on the TBI mouse; and (3) comparing the influence of the space learning and long-term memory ability of the TBI mouse before and after the low-intensity pulsed ultrasound treatment and the change of the intracerebral clearance ability, and detecting the level of phosphorylated tau protein in the damaged cerebral hemisphere, if the influence on the TBI mouse has statistical significance, judging that the TBI mouse is damaged by the phosphorylated tau protein. And if not, constructing a low-intensity pulsed ultrasound regulation animal traumatic brain injury model by using the low-intensity pulsed ultrasound condition. By regulating and controlling the key parameters of the low-intensity pulsed ultrasound, the brain lymphatic drainage and nerve repair of traumatic brain injury of animals can be regulated and controlled.

The invention discloses application of a soybean extracting solution to prevention and treatment of senescence-related cognitive impairment, and belongs to the technical field of application of plant extracts. A preparation method of the soybean extracting solution comprises the following steps that soybeans with the water content being 55% or above are flatly laid on a conveying belt, the soybeans are conveyed into extraction equipment disclosed by the patent ZL 201711472613.5 through the conveying belt, the soybeans sequentially pass through 11 plasma effect generator cracking reaction kettles, the reaction time of each plasma effect generator cracking reaction kettle is 40-60 seconds, and then the soybeans are extracted through the extraction equipment. The microwave power of the cracking reaction kettles of the first 10 plasma effect generators is 1-6 KW, and the microwave power of the cracking reaction kettles of the last plasma effect generator is 1-3 KW. The extracting solution is a natural plant liquid preparation and is high in safety. Experiments prove that the traditional Chinese medicine composition can significantly improve the working memory and spatial learning memory ability of mice with senescence-related cognitive impairment, regulate the neurotransmitter level, reduce oxidative stress and inflammatory response, and improve intestinal flora composition. The invention provides a brand-new, safe and effective natural medicine choice for preventing and treating senescence-related cognitive impairment, and can be used for preparing related medicines or foods.

The invention discloses a low-illumination image enhancement method based on mixed frequency domain-spatial domain double-branch Mama, and relates to the technical field of image processing and computer vision, and the method comprises the steps: constructing an image decomposer based on Retinex, generating an illumination prompt image, and obtaining a preliminary enhancement image; constructing a double-branch Mama module, extracting local textures by using a convolutional neural network branch, and capturing global illumination distribution by using a Mama branch; wherein the Mama branch is introduced into an attention state space module, an illumination prompt graph is used as prompt information to be integrated into a state equation, and context information is supplemented with low calculation cost; the features are converted to a frequency domain through a Fourier processing module, amplitude and phase components are enhanced respectively, and multi-domain feature fusion is carried out in combination with parallel spatial learning branches; and training based on the mixed loss function. According to the method, while the calculation overhead is reduced, collaborative optimization of global illumination recovery and local detail reconstruction is effectively realized, and the enhancement quality of the low-illumination image is remarkably improved.

The invention provides application of apoptin combined peptide to treatment of Alzheimer's disease. The apoptin combined peptide used in the invention has the following amino acid sequences: MetGlyArg, LysLysArg, Arg, GIn, Arg, Arg, LeuLysProProSerLysLysArgleArgleGlyleAlaGlyleThrLeuSerLeuArg, ProArg, Thr, AlaLysArg, ArgleArg, Leu and the like. The apoptin combined peptide provided by the invention has the following amino acid sequences: MetGlyArg, LysLysLysArg, Arg, Arg and Leu. Various animal model experiments prove that after the polypeptide drug is administered through intravenous injection (with the dosage of 1mg / kg to 3mg / kg), cognitive impairment, spatial learning and memory ability of model animals with Alzheimer's disease, vascular dementia and senile dementia can be remarkably improved, and the treatment effect is superior to that of donepezil. The action mechanism comprises reduction of oxidative damage, inhibition of APP and BACE1 pathological protein expression, increase of neuron number and nissl body content, inhibition of cell apoptosis and the like. The polypeptide medicine is high in safety and remarkable in curative effect, and a new effective medicine is provided for treating the Alzheimer's disease.

The invention discloses a gastrointestinal tract disease classification method based on wavelet transform and cross-space learning, and the method comprises the steps: collecting gastrointestinal tract focus image data, and carrying out the preprocessing of the data, so as to construct a training set; a gastrointestinal disease classification model is constructed, the training set is used for training, in the training process, minimization of a total loss function is used as an optimization target, parameters of the gastrointestinal disease classification model are adjusted, and the trained gastrointestinal disease classification model is obtained; and utilizing the trained gastrointestinal disease classification model to realize gastrointestinal focus image classification. According to the method, deep features of minimal lesions can be captured, the classification accuracy of gastrointestinal tract lesion images is remarkably improved, the classification accuracy of minimal lesions is improved, the classification precision is improved, and the reasoning time during prediction is shortened.

The application discloses a compound essential oil composition for improving concentration and enhancing memory and application thereof, and belongs to the technical field of daily-use chemicals. The composition is prepared from rosemary leaf oil, musk grass oil, hot mint oil, blue eucalyptus leaf oil, white orchid leaf oil, methyl 2, 4-dihydroxy-3- (2-hydroxypropyl) benzoate, lemon peel oil, white orchid oil, calamus root extract and angelica root extract according to specific weight percentages, and is added and homogenized in steps according to the order of component viscosity and volatility. Animal experiments prove that the composition can significantly improve the space learning and memory ability of a cognitive impairment model mouse, and the escape latency and invalid exploration behavior of the mouse are significantly reduced. Human efficacy tests show that single sniffing can improve the mean value of the power spectrum density of the brain concentration related beta wave, shorten the Stroop test reaction time, reduce the error rate, and significantly improve the concentration ability. The composition can be prepared into aromatherapy liquid, massage paste and other products, and is used for safely and quickly improving concentration and cognitive function, and has significant application value.

This invention provides a method for identifying compounds for treating delayed neurological injury in the chronic phase of cerebral hemorrhage. The method includes establishing a mouse model of cerebral hemorrhage, administering the identified drug to a treatment group and immunoglobulin IgG to a non-treatment group; assessing motor dysfunction through neurological function evaluation and a turning angle test; evaluating the excitability of thalamic neurons using whole-cell patch-clamp recording technology; comparing synaptic transmission function in the treatment and non-treatment groups; assessing spatial learning and memory abilities using the Morris water maze test; and comprehensively evaluating the improvement in neurological function, synaptic transmission, and cognitive function to determine the therapeutic effect of the drug. The method also includes collecting autopsy brain tissue from cerebral hemorrhage patients and healthy controls, performing spatial transcriptome sequencing to identify differentially expressed genes, and exploring the pathogenic mechanism in the animal model of cerebral hemorrhage. This method can accurately screen and identify potential therapeutic drugs for chronic neurological injury in cerebral hemorrhage.

The invention discloses an application of white datura in preparation of a medicine for preventing and treating cerebral ischemia-reperfusion injury. The invention proposes and verifies that white datura can effectively prevent and treat ischemia reperfusion injury for the first time, including greatly reducing the volume of cerebral infarction caused by cerebral ischemia reperfusion; meanwhile, the neurological function impairment symptoms such as motor coordination and balance ability reduction, spatial learning and reference memory impairment and depression-like behaviors caused by cerebral ischemia reperfusion are remarkably improved, and a natural medicine with great application potential is provided for mechanism research, prevention and treatment of cerebral ischemia reperfusion injury.

The application discloses application of dimethyl mercaptopropionic acid and relates to the field of medicine. Specifically, the application provides application of dimethyl mercaptopropionic acid in preparation of a medicine for treating Alzheimer's disease. In the application, the dimethyl mercaptopropionic acid can reverse changes in protein expression levels of MAG, CD9 and P2ry12 in the brain of an Alzheimer's disease model mouse, plays a role in myelin regeneration protection and nerve immune regulation, can reduce expression levels of pathological proteins A beta and tau related to Alzheimer's disease, improves spatial learning ability and spatial memory ability of the Alzheimer's disease mouse, and can be used for treating Alzheimer's disease.

The invention discloses a calculation method and device for time sequence operation and maintenance early warning based on a pipe network spatial topological structure, belongs to the technical field of sewage pipe networks, and solves the problems that an existing pipe network early warning method is low in prediction precision and is difficult to capture time-space dynamics at the same time. According to the method, directed hydraulic association between monitoring nodes is dynamically deduced by using a time-space diagram neural network, and time-space convolution calculation is synchronously performed, so that high-precision time sequence prediction of the global liquid level in a period of time in the future is realized, a potential time-space dynamic relationship in historical monitoring data is fully excavated, and the accuracy of time sequence prediction is improved. And by fusing physical prior information and a federal learning data complementation mechanism, the reliability and the spatial learning ability of the prediction model are remarkably improved. And finally, an operation and maintenance report containing over-limit early warning and a topological correlation-based key attention node list is generated, and a clear basis is provided for accurate troubleshooting and efficient decision making of operation and maintenance personnel, so that the maintenance and decision making cost of a pipe network system is remarkably reduced, and the management level and efficiency of water resources are improved.