36 results about "Hippocampus" patented technology

This invention belongs to the field of pharmaceutical technology, specifically relating to a quinazoline-azaindole compound, its preparation method, and its application in treating Alzheimer's disease. The quinazoline-azaindole compound of this invention regulates NF-κB by inhibiting DYRK1A. k B. A series of signaling pathways, including PI3k-Akt, achieve anti-neuroinflammatory effects; quinazoline-azaindole compounds can reduce the expression of inflammatory factor-related genes in an LPS-induced BV2 microglial inflammation model, thereby reducing the levels of inflammatory factors in the hippocampus and cortex, alleviating neuronal pathological damage caused by neuroinflammation, and improving cognitive impairment caused by neuroinflammation; in summary, quinazoline compounds inhibit DYRK1A and downregulate NF-κB signaling pathways. k It can reduce the expression and release of inflammatory factors, improve brain tissue pathology, and alleviate cognitive impairment through signaling pathways such as B, and has significant clinical application value.

This invention discloses a medical image segmentation method based on inverse residual attention and multi-scale context. The method inputs the medical image to be segmented into an improved RAS-UNet segmentation network model. This model introduces an inverse residual attention module at the bottleneck feature of the deepest layer of the encoder, which suppresses background through an inverse weighting mechanism and enhances attention to blurred boundaries and weak response regions. Simultaneously, a hollow spatial pyramid pooling module is introduced into the decoding path, utilizing a parallel multi-branch structure to fuse multi-scale contextual information to adapt to lesions or anatomical structures of different sizes. Skip connections between the encoder and decoder achieve efficient fusion of detailed and semantic features. This invention can significantly improve the accuracy and boundary accuracy of segmenting medical targets such as polyps, breast tumors, and the hippocampus, providing a reliable tool for clinical auxiliary diagnosis.

The present application relates to endogenous NMDA receptor subtypes in brain tissue and their assembly and structure. The present application provides a method for evaluating the function of endogenous NMDA receptors in brain tissue (cortex and hippocampus), comprising obtaining data on the structure and / or quantity of endogenous NMDA receptors (NMDAR) in the brain tissue, wherein the NMDA receptor comprises a GluN1-N2A-N2B triheteromer; and comparing the structure and / or quantity of the GluN1-N2A-N2B triheteromer with a reference structure and / or quantity reference value, thereby giving an evaluation result of the function of endogenous NMDA receptors in brain tissue. The present application also provides a device for performing the evaluation and a method for drug screening based on changes in the structure and / or quantity of specific NMDA receptors.

The application relates to a stimulating coil for deep brain area nerve regulation, which is in an elliptical shape, has 6 turns, a short inner diameter of 5-15 mm, a long inner diameter of 15-40 mm, a wire width of 1.5 mm, a wire height of 1 mm, an axial spacing of 2 mm and a radial spacing of 1 mm. A transcranial magnetic stimulation system is electrically connected with two stimulating coils respectively. A transcranial magnetic stimulation method is used to symmetrically fix the two stimulating coils on the two sides of the head and make the stimulating coils close to the head; a power supply unit is used to rapidly discharge the two stimulating coils to induce a short strong pulse current in the stimulating coils and form a strong magnetic field of 1T-4T around the stimulating coils, so that the nucleus of the lamina and part of the hippocampus in the deep brain area are stimulated. The beneficial effect is that the stimulating effect on the deep brain area is excellent, especially in the aspect of accurately targeting specific brain areas, the nucleus of the lamina can be effectively stimulated, and part of the hippocampus can be touched.

The application discloses application of SCAMP5 in treatment of autism spectrum disorder. The application research proves that, compared with a CON group, VPA-induced ASD rats have significant neurotransmitter release disorder and synapse signal path abnormality in hippocampus, overexpression of SCAMP5 protein can improve abnormal release of Glu, abnormal expression of scaffold protein Homer1b / c and downstream protein IP3R, and meanwhile, can relieve autism-like behaviors, space working memory and synapse development abnormality of ASD rats. The application provides a new target and a new potential drug for treatment of autism spectrum disorder, and provides a new idea for target treatment of ASD by in-depth exploration of potential path in pathogenesis of autism.

This invention belongs to the field of traditional Chinese medicine technology, and provides the application of Scutellaria baicalensis leaf aqueous extract in the preparation of drugs for improving or treating inflammatory bowel disease (IBD) with depression. The Scutellaria baicalensis leaf aqueous extract improves IBD with depression by increasing the abundance of Akkermansia myxophilus (AKK) bacteria, restoring disordered deoxycholic acid metabolism. The extract increases the abundance of AKK bacteria in the intestine, increases the content of deoxycholic acid (DCA) in the intestine, regulates Th17 / Treg homeostasis, reduces intestinal inflammation, maintains intestinal barrier integrity, reduces the entry of pro-inflammatory factors into the bloodstream and across the blood-brain barrier into the hippocampus, inhibits neuroinflammation, and improves depression. Scutellaria baicalensis leaves can improve IBD with depression by increasing the abundance of AKK bacteria in the intestine, increasing intestinal DCA levels, regulating Th17 / Treg balance, repairing the intestinal barrier, reducing LPS leakage and alleviating nerve damage, and inhibiting the inflammatory response of the gut-brain axis. This provides certain experimental evidence for the development and utilization of related traditional Chinese medicine resources.

Provided herein are targeting peptides and vectors containing a sequence that encodes the targeting peptides that deliver agents to specific substructures in the brain. Specifically, the targeting peptide is a component of a modified, sequence-specified adeno-associated virus (AAV) capsid protein further wherein the brain substructure may be the globus pallidus, putamen, internal capsule, caudate, claustrum, substantial nigra, motor cortex, insula,.temporal cortex, thalamus, hippocampus, subiculum, and deep cerebellar nuclei.

The application discloses a kind of brain-like neural network multi-vehicle coordination decision-making method and system fusing hippocampus playback mechanism, method includes: vehicle-mounted terminal receives the environment data from vehicle-mounted sensor and traffic signal data transmitted by roadside end, utilize pulse coding conversion into space-time pulse sequence;Time-space pulse sequence is input into pulse neural network to carry out prediction, and based on the feedback data of predicted road condition and vehicle-mounted sensor, calculate prediction error, and the physical feedback of real-time monitoring vehicle;When prediction error or physical feedback exceeds prediction mismatch degree threshold value, activate hippocampus memory mechanism, intercept all perception pulse sequence and self state data in the preset time window before current time, and as high-risk scenario memory write vehicle-mounted short-term memory buffer area;When vehicle is idle or charging state, use counterfactual reasoning mechanism to read high-risk scenario memory, reconstruct high-risk scene in virtual environment, and generate candidate strategy through counterfactual reasoning mechanism to carry out virtual trial and error.

The present application relates to the technical field of Congo red derivative photocatalytic probe application, and particularly relates to a Congo red derivative photocatalytic probe, a preparation method and a use method thereof, comprising a compound I, the compound I is selected from at least one of the Congo red derivative photocatalytic probes, and the Congo red derivative photocatalytic probe comprises two arene, the arene represents an aromatic heterocycle, and the aromatic heterocycle is selected from one of a benzene ring, furan, thiophene and a naphthalene ring. The Congo red derivative photocatalytic probe provided by the present application can specifically label amyloid plaques in AD brain tissue slices, the binding affinity is significantly improved (Kd of Aβ 1‑40 The Congo red derivative photocatalytic probe can reveal the molecular heterogeneity of amyloid deposition and the key regulatory role of the mitochondrial autophagy-lysosome axis, provide a new tool for AD pathological mechanism research, support proteomic analysis and pathological mechanism analysis across brain regions (hippocampus / cortex), and protect the molecular structure and application in the research of neurodegenerative diseases.

This invention discloses a collaborative offloading method and system for edge computing tasks in roadside parking based on an improved hippocampus optimization algorithm. Addressing the need for efficient processing of computing tasks in roadside parking scenarios, a four-layer collaborative computing architecture is constructed, comprising driving vehicles, roadside parked vehicles, edge servers, and cloud servers. Roadside parked vehicles with idle computing resources are utilized as dynamic edge computing nodes. The task offloading decision problem is formalized as a constrained optimization problem aiming to minimize the total system latency and energy consumption, and solved using an improved hippocampus optimization algorithm. This improved algorithm introduces a frame shifting mechanism to optimize population initialization and individual evolution processes, effectively improving the algorithm's global search capability and convergence accuracy, thereby obtaining optimal or near-optimal offloading decisions. This achieves dynamic collaboration and resource sharing between driving vehicles, roadside parked vehicles, and edge servers, improving the flexibility of offloading decisions.

1. Name of the designed product: toothbrush (seahorse type). 2. Use of the designed product: for brushing teeth. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: combined state perspective view.

The application discloses a kind of based on multi-source data fusion and deep optimization network's fault diagnosis method, belong to wind turbine bearing fault diagnosis technical field, including: obtaining the multi-source sensor data of wind turbine under different working conditions, and the multi-source sensor data collected is preprocessed;Design multi-source data feature fusion algorithm based on correlation variance contribution, the multi-source sensor data after pre-processing is fused, and the fuzzy entropy value of the multi-source sensor data after fusion is extracted as the feature vector of input intelligent fault diagnosis model;Intelligent fault diagnosis model DBE based on optimized deep belief network is constructed, and the method and hippocampus optimization algorithm of greedy learning are used to train DBE;Based on the trained DBE, fault diagnosis is carried out.The method solves the problems of signal abnormal value and data missing under the influence of wind turbine variable working condition and external noise interference and fault diagnosis reliability, improves the accuracy of wind turbine fault diagnosis.

The present application relates to the technical field of intelligent aquaculture or precision aquaculture, and specifically relates to a sea horse health state intelligent identification method and grading seed control system, which comprises the following steps: collecting time sequence behavior data and aquaculture environment state data of a sea horse individual; quantifying the time sequence behavior data to generate behavior characteristics; quantifying the aquaculture environment state data to generate environment characteristics; combining the behavior characteristics and the environment characteristics to generate a dynamic health index; generating a pathological risk index based on the dynamic health index; combining the dynamic health index and the pathological risk index to generate a comprehensive seed value index; determining the grade of the sea horse individual according to the comprehensive seed value index and a preset grading threshold; and generating a sorting control instruction according to the grade. The present application realizes intelligent decision-making from simple optimization to optimization and risk avoidance, and significantly improves the screening efficiency of excellent germplasm.

This invention relates to the field of biotechnology, specifically to a hippocampal exosome-like vesicle, its preparation method, and its applications. This invention discloses for the first time a hippocampal exosome-like vesicle, which is a nanoscale membrane vesicle exhibiting a typical saucer-like morphology with an average particle size of less than 150 nm. It can be effectively taken up by mouse testicular interstitial cells, promoting testicular interstitial cell proliferation and sex hormone secretion. It can be used as a beneficial dietary supplement to improve male reproductive health and enhance reproductive function.

The utility model discloses a kind of dredging devices for sea horse breeding, specifically relates to sea horse breeding field, including support seat, the upper surface of the support seat is fixedly installed with support top plate, the upper surface of the support top plate is fixedly installed with extraction component, one side of the support seat is provided with fixed end, the bottom surface of the fixed end is fixedly installed with electro-hydraulic push rod, the telescopic end of the electro-hydraulic push rod is fixedly installed with lifting plate, the upper of the lifting plate is equipped with frequency conversion motor, the output of the frequency conversion motor is fixedly installed with driving shaft, the bottom end of the driving shaft is fixedly installed with dredging scraper disc, the outside of lifting plate is equipped with two telescopic hoses, the bottom end of two telescopic hoses is fixedly communicated with dredging head.The utility model can drive lifting plate to move up and down by the telescopic movement of electro-hydraulic push rod, realize flexible adjustment to the depth of dredging scraper disc and dredging head, can be adapted to various different depth sea horse breeding pond, improve the flexibility when dredging is used.

The present application relates to the technical field of biotechnology, and particularly relates to a mixed alpha-glucosidase inhibitory hippocampus peptide, a preparation method and application thereof. The present application comprises a polypeptide with an amino acid sequence as shown in SEQ ID NO. 1, and is prepared from hippocampus, by adopting a double-enzyme synergistic hydrolysis method and combining with an optimized process to prepare an alpha-glucosidase inhibitory peptide and application thereof. The present application significantly improves the polypeptide yield and enhances the inhibitory activity on alpha-glucosidase, and provides a new technical path for high-value utilization of marine biological resources and development of natural hypoglycemic functional components.

The application belongs to the technical field of pharmaceutical compositions, and particularly relates to a composition containing goat milk fat globule membrane and capable of assisting in improving memory and application thereof. The composition comprises goat milk fat globule membrane, L-alpha-glycerophosphocholine, 2'-fucosyllactose, 6'-sialyllactose sodium salt and resveratrol. The composition can reduce the inflammation and oxidative damage level of the body and improve the morphological structure of hippocampus, and has a broad application prospect in the prevention and treatment of memory decline in the elderly.

This invention discloses the preparation and application of a hydrophobic compound high-encapsulation protein carrier, belonging to the field of bionanomaterials and food functional factor delivery technology. This invention provides a hydrophobic lumen-modified ferritin mutant rXHF, obtained by mutating polar residues at positions 68, 76, 141, and 148 on the lumen surface of human heavy chain ferritin rHuHF to tryptophan. Using this mutant as a carrier, lycopene is compounded with lycopene at a molar ratio of 1:200 to prepare the lycopene nanodelivery system rXHF-LYC. This system has a lycopene encapsulation efficiency of 17.8% and a DPPH clearance rate of 30%. Through transferrin receptor-mediated endocytosis, it crosses the blood-brain barrier, delivering lycopene to the hippocampus, inhibiting oxidative stress and neuroinflammation, restoring cholinergic function, and improving age-related cognitive impairment. This invention provides a new carrier for brain-targeted delivery of hydrophobic functional factors and offers a new strategy for the intervention of age-related neurodegenerative diseases.

The utility model relates to the technical field of sea horse processing specifically provides a kind of drying oven for sea horse drying, wherein, including drying oven body, the sidewall of drying oven body is fixedly connected with hot air fan body, the inside of drying oven body is provided with multiple lifting slide rails, relative two lifting slide rails drive same support plate, the bottom of support plate is provided with temperature sensor, two lifting slide rails of driving same support plate are located at same plane height, the inside of support plate is provided with placing plate body, and the top of placing plate body is provided with the accommodation groove for placing sea horse, and the communication port of being penetrated is set up in support plate and placing plate body, sea horse can be sequentially entered different height support plate by communication port and be stored, the inside of support plate is fixedly connected with drive slide rail, and drive slide rail is provided with placing scraper.The utility model effectively solves the problem of low efficiency and uneven heating in the prior art, and achieves the purpose of automatic layering arrangement dynamic angle of sea horse.

Methods, devices and systems for treating dysregulated eating behavior in a subject, in a subject with an impaired orexigenic appetitive processing circuit mediating activity between a lateral hypothalamus (LH) and a dorsolateral hippocampus (dlHPC), including invasively and / or non-invasively delivering neurostimulation to at least a portion of the impaired subject to at least partially repair the impaired circuit.

The invention provides methods and related compositions for preventing neurocognitive decline associated with chronic stress, age, and neurodegenerative diseases. The methods described here are based upon the use of alpha5-GABAA receptor agonists to slow or prevent deleterious morphological changes in dendrites of the hippocampus and prefrontal cortex, which eventually manifest in functional decline and the neurocognitive deficits.

This invention discloses an alkaline protease mutant and its application in the preparation of active hippocampal peptides. This alkaline protease mutant exhibits high enzyme activity and high thermal stability, with an optimal operating temperature of 60°C. Even after treatment at 70°C for 90 minutes, it retains 23.45% of its relative enzyme activity, demonstrating excellent thermal stability. When used for the enzymatic hydrolysis of defatted hippocampal powder, it can increase the yield of active hippocampal peptides from 11.7% to 82.4%, and improve the antioxidant activity (IC50) of the hydrolysate. 50 The enzyme activity was increased by approximately 51.4%, effectively solving the bottleneck of the difficulty in synergistically improving enzyme activity and thermal stability in existing technologies. This provides an excellent catalyst and process solution for the industrial-scale, efficient, and low-cost production of hippocampal active peptides.

The present disclosure relates to a method for providing biomarker for early detection of Alzheimer's Disease (AD), and particularly to a method that is able to enhance the accuracy of predicting AD from Mild Cognitive Impairment (MCI) patients using the Hippocampus magnetic resonance imaging (MRI) scans and Mini-Mental State Examination (MMSE) data. The providing MRI images containing the anatomical structure of Hippocampus biomarker and MMSE data as a training data set; training a processor using the training data set, and the training comprising acts of receiving MRI images and MMSE data as a testing data set from a target; and classifying the test data by the trained processor to include aggregating predictions.

The application provides a user behavior prediction system and method based on a pulse neural network, and relates to the field of user behavior prediction. The method comprises the following steps: collecting user historical interaction sequence data and real-time interaction flow data to generate a user behavior pulse sequence. A double-path pulse neural network prediction model is constructed by a bionic hippocampus scene memory path and a spatial navigation path in parallel. The short-term interest mode and the long-term preference mode are fused and conflict arbitrated to obtain a comprehensive user state feature vector and generate an initial prediction list. Interaction feedback data of the user on the initial prediction list is obtained and converted into a reinforcement signal in the form of a neural pulse. The correlation strength between the user behavior features and the item features in the double-path pulse neural network prediction model is adjusted in real time through a weight self-adaptive adjustment module. The initial prediction list is reordered and finely screened to generate a prediction recommendation list. The technical problem that the long-term stable preference and the short-term accidental interest of a user cannot be effectively distinguished is solved.