52 results about "Nutrition Interventions" patented technology

The invention relates to the technical field of artificial intelligence and nutrition health management, and discloses an intelligent nutrition correction tracking early warning method and system.The intelligent nutrition correction tracking early warning method comprises the steps that a hierarchical heterogeneity causal effect model is constructed, and individual features are mapped to a potential type space; representing a causal relationship between nutrition intervention and result variables by using a structural causal model, and evaluating an intervention effect by using a dual robust estimator; personalized grouping is realized by identifying individual subgroups; a reinforcement learning algorithm based on context awareness is combined with an anti-fact reward function, and a personalized nutrition intervention strategy is optimized; key feature combinations are extracted through a differentiable decision tree and SHAP value analysis, and multi-level causal interpretation is generated. According to the method, anti-factual reasoning, reinforcement learning and causal relationship extraction technologies are fused, accurate prediction, evaluation and early warning of the individual nutrition intervention effect are realized, and the personalized precision of nutrition intervention and the user compliance are remarkably improved.

The invention relates to the technical field of livestock and poultry breeding, in particular to a goat hybridization breeding method capable of achieving complete-cycle nutrition enhancement. The core of the method is that systematic nutrition intervention runs through the whole breeding process. Before hybridization, performing differential nutrition pretreatment on the parents for 60 days: feeding the female parents with a breeding nutrition enhancer added with components such as D-chiro-inositol and N-acetylcysteine, and supplementing sperm motility enhancer containing acetylated L-carnitine and ergothioneine to the male parents. In the gamete treatment stage, the oocytes are subjected to in-vitro maturation culture in a special culture solution containing components such as D-chiro-inositol and a growth differentiation factor 9; after the sperms are subjected to gradient centrifugal screening, completing in-vitro fertilization in an optimized fertilization culture solution; after the embryos develop into blastocysts in the sequential culture system, carrying out laparoscopic transplantation, and carrying out staged precise nutrition culture on the pregnant ewes. According to the method, through multi-level nutrition enhancement, the reproductive capacity of the goats and the growth performance of offspring are effectively improved.

The invention discloses a nattokinase product for preventing and / or treating atherosclerosis and application of the nattokinase product. Cardiovascular diseases become the primary reason of human death, and the vascular plaque problem caused by atherosclerosis is always a difficult problem to be solved urgently. Blood vessel stenosis caused by plaques is a main cause of cerebral arterial thrombosis, and traditional medicines and operations face the problems of low compliance, side effect risk, indication limitation and the like. The invention provides nattokinase or a product thereof for high-risk groups with cardiovascular diseases, and the nattokinase or the product thereof is preferably in a non-drug form. As a precise nutrition intervention means, nattokinase is effective in plaque progress inhibition, unique in effect, safe to eat, convenient, easy to implement and wide in applicable crowd. The invention provides a new thought and method for management of vascular plaques and prevention and treatment of cardiovascular diseases.

The invention discloses application of a group of blood nutrition markers in prediction of central nervous system (CNS) injury function prognosis. According to the technical scheme, the method is characterized in that serum albumin, total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) are determined as independent predictive factors of CNS injury prognosis for the first time through retrospective queue research (n = 404), and clinical decision critical values are determined to be 36.35 g / L, 3.60 mmol / L and 2.13 mmol / L respectively. The detection kit developed on the basis of the discovery can objectively and quantitatively evaluate the prognosis risk of the patient within 24 hours of admission, and is obviously superior to that of a traditional scoring system. According to the method, key technical support is provided for precise nutrition intervention and early rehabilitation strategy formulation of the CNS injury.

This invention discloses a dynamic assessment and intervention system for maternal nutrition and health in Africa, belonging to the field of maternal health management technology. The system includes: a data acquisition module for collecting multi-source data from pregnant women; a data preprocessing and weight correction module for standardizing multi-source health-related data and adjusting the weights of different data sources based on regional environmental risk parameters; a nutrition risk assessment module for generating a maternal nutrition risk score based on the processed and corrected data; a dynamic decision-making module for generating corresponding nutrition intervention strategies based on the nutrition risk score; and an offline intervention package generation module for converting the nutrition intervention strategy into offline executable intervention instructions and outputting them under conditions of network limitations or terminal performance limitations. This achieves multi-source health-related data fusion, dynamic nutrition risk assessment, and low-cost intervention execution for maternal nutrition and health.

The invention provides application of a composition containing butyric acid producing bacteria and vitamin K2 in preparation of a medicine for treating osteoporosis, and relates to the technical field of biological medicines, the composition comprises butyric acid producing bacteria and vitamin K2; wherein the butyric acid producing bacteria are selected from any one or more of clostridium butyricum, rosella and clostridium praeparatum; and the vitamin K2 is selected from any one or more of menadione-4 or menadione-7. The composition can play a synergistic effect through an intestine-bone axis, and compared with a single component, the composition can more remarkably improve the bone mineral density. The composition has comprehensive effects and high safety, provides a brand-new nutrition intervention strategy with a synergistic effect for prevention and treatment of osteoporosis, and provides a brand-new possibility for preparation of medicines related to osteoporosis.

The invention relates to the technical field of data processing, and discloses a crowd nutrition data intelligent distribution processing method and system.The crowd nutrition data intelligent distribution processing method comprises the steps that original crowd nutrition data are processed through a multi-level data representation algorithm, the data are mapped in a layered mode, and an interlayer association mapping matrix is constructed; multi-level nutrition data representation is formed; constructing a directed acyclic graph model with a causal relationship by adopting a structured causal model construction algorithm; an anti-fact scene generation and simulation algorithm is utilized to generate and evaluate the effects of various possible nutrition intervention schemes, an intervention combination is constructed, and anti-fact reasoning is carried out; constructing and solving a differential equation system for describing the long-term influence of nutrition intervention; adopting a heterogeneity analysis and intervention optimization algorithm to identify heterogeneity characteristics in the crowd and optimize a personalized intervention strategy; through the structured causal model and strict confounding factor control, the accuracy of nutrition intervention effect evaluation is improved.

The invention relates to the technical field of precise nutrition, and particularly discloses an alpha-linolenic acid personalized supplement judgment method and system based on fatty acid metabolism related genotypes. The method comprises the following steps: acquiring genotype information of at least one single nucleotide polymorphism site of an individual in a fatty acid desaturase gene cluster and / or a fatty acid elongase gene cluster; evaluating the expected metabolic response efficacy of the individual to alpha-linolenic acid supplementation; and judging whether alpha-linolenic acid is suitable for supplementing n-3 polyunsaturated fatty acid or not according to an evaluation result. The technical problem that an existing one-cut type alpha-linolenic acid supplement scheme is ineffective to people with low hereditary metabolism is solved, and precise nutrition intervention based on the genetic background is achieved.

The invention discloses a lactation buffalo production performance regulation and control method based on rumen energy nitrogen balance regulation and control, and relates to the technical field of lactation buffalo rearing, the method comprises the steps of obtaining and fusing rumen internal environment parameters, individual ingestion behaviors and production performance data of lactation buffalo, and obtaining a multi-source data fusion analysis result through multi-source data fusion analysis; generating a rumen-physiological dynamic metabolic potential energy map; based on a rumen-physiological dynamic metabolic potential energy map, performing digital twinborn deconstruction analysis on daily ration composition to obtain energy nitrogen libraries with different degradation characteristics; the ideal supply gap spectrum of each energy nitrogen library is dynamically calculated in combination with physiological time sequence parameters obtained in real time; and according to the ideal supply gap spectrum of each energy nitrogen reservoir, precise nutrition intervention is cooperatively executed through time sequence matching feeding, form adaptation regulation and control and targeted supplement regulation and control. The problems of lactation performance fluctuation, low feed utilization efficiency and high metabolic stress risk caused by energy nitrogen imbalance are solved.

The invention discloses a dietary compound containing resveratrol and application of the dietary compound in improvement of inflammatory injury of diabetic nephropathy, and belongs to the field of functional foods and dietary supplements. The L-WPI is taken as a carrier, so that the phosphorus load of a final product is reduced from the source, the problem that the hyperphosphatemia risk of a DKD patient is possibly aggravated by a conventional whey protein raw material is solved, and the L-WPI is more suitable for nutrition intervention of people with renal hypofunction. The L-WPI-Res compound constructed through heat treatment induction can effectively protect Res from being excessively degraded in a harsh stomach acidic and enzymatic hydrolysis environment, realizes stomach stability and intestinal targeted release, improves the biological accessibility of the compound in a small intestine stage by 20-35% compared with a free monomer, fundamentally solves the bottleneck problem of low oral availability of polyphenol compounds, and has a wide application prospect. Meanwhile, the L-WPI-Res-55 DEG C compound has a synergistic enhancement effect in two aspects of regulating blood sugar potential and relieving inflammation.

The invention relates to the technical field of artificial intelligence and nutrition and health, and discloses a total nutrition module customer marketing distributed filtering method and system.The total nutrition module customer marketing distributed filtering method comprises the steps that a nutrition and health causality graph is constructed, learning a causal relationship between nutrient elements and health indexes from historical nutrition and health data by using a causal discovery algorithm; realizing a dual Markov decision process, and constructing the dual Markov decision process; an anti-fact effect evaluation system is established, and long-term causal effects of different nutrition intervention paths are evaluated; carrying out personalized intervention effect estimation, and carrying out personalized estimation on the nutrition intervention effect of each customer by utilizing a causal machine learning technology; a distributed calculation and decision execution system is constructed, and efficient processing of large-scale customer data and real-time execution of recommendation decisions are achieved; according to the method, simple correlation analysis is replaced by causal inference, the individual heterogeneity effect is considered, and the accuracy of nutrition scheme recommendation is improved.

The invention relates to a composition with an emotion conditioning function as well as a preparation method and application thereof, and belongs to the technical field of functional foods. The composition comprises core components: calcium 6S-5-methyltetrahydrofolate, N-acetylneuraminic acid, spirulina maxima powder and betaine, and further comprises synergistic components such as vitamin B6, vitamin B12, a zinc source, a selenium source and vitamin B1, vitamin B2, nicotinic acid and pantothenic acid. The composition is designed on the basis of an intestine-brain linkage mechanism, and the brain-intestine axis function is systematically adjusted through multi-target cooperation of intestinal barrier repair, neurotransmitter efficient synthesis, neural network structure support and the like. Experiments show that the composition can effectively improve anxiety, depression and other emotional states, provides a synergistic and safe nutrition intervention scheme for related people, and has a definite application prospect in the fields of emotional health functional foods and brain-intestine axis targeted special diet foods.

The invention discloses a nutrition intervention system and method for tumor chemoradiotherapy patients. The system comprises a molecular nutrition fingerprint acquisition module, a space-time prediction modeling module, a drug-nutrition collaborative optimization module, an intestinal flora-host metabolism modeling module and an active nutrition intervention execution module. By integrating gene polymorphism, intestinal flora and metabonomics data, an individualized molecular nutrition fingerprint is constructed, a deep learning algorithm is adopted to predict the change trend of a nutrition state, a molecular docking technology is adopted to optimize a drug-nutrition synergistic effect, a flora-host metabolism model is established to predict nutrient absorption efficiency, and the nutrient absorption efficiency is improved. And precise active nutrition intervention is realized. The technical problems that in the prior art, nutrition intervention is low in accuracy, preventive intervention cannot be achieved, and medicine-nutrition interaction is neglected are solved, and individualized nutrition management based on the molecular level is achieved.

The present application relates to the field of animal nutrition and microbiology, and in particular to a nutrition intervention method for regulating eggshell mineralization by egg chicken intestinal flora-metabolites, a preparation, a sustained-release granule and an application thereof, comprising the following steps: A. intestinal flora homeostasis establishment period: adding a bile acid precursor complex, a flora regulating complex and an intestinal environment regulator in the feed of 24-week-old laying hens at a proportion of 0.5%, continuously for 14 days; B. metabolite production enhancement period: adding a metabolite precursor complex and a metabolic activity regulator to the feed of laying hens at the peak of egg production at a proportion of 0.8%; C. shell gland mineralization efficiency improvement period: adding a calcium transporter activating complex, a carbonic anhydrase cofactor and an ion channel regulator to the feed of laying hens at the later stage of egg production at a proportion of 1.0%, to promote the production of key metabolites and activate the whole process molecular mechanism of shell gland mineralization.

This invention discloses a hybrid model-driven nutritional risk prediction method and system for precision nutritional intervention. The method constructs a large-scale patient typing model containing multiple typical patient types and their associated assessment parameter packages, integrating a standardized first screening model with a personalized second screening model. In application, the first screening model is first used to standardize and initially screen patient data. Then, the large-scale patient typing model extracts patient feature inputs based on the patient data and initial screening results for typing and obtains the corresponding assessment parameter packages. The second screening model is then personalized based on these parameter packages, supplemented with key data, and combined with personalized thresholds to calculate the final risk level and generate a comprehensive assessment report. This invention achieves dynamic individualized adaptation of assessment strategies, improves the accuracy and clinical interpretability of risk identification, and optimizes workflow and resource allocation.

The invention discloses a medicinal and edible substance evaluation method and system based on double-track cognition and system mapping and a storage medium, and relates to the technical field of medicinal and edible research and development and Chinese and western medicine nutrition intervention. Aiming at the technical pain point that the efficacy of medicinal and edible substances cannot be systematically quantified and evaluated due to Chinese and western medicine cognitive splitting, the method comprises the following steps: respectively constructing Chinese medicine and western medicine cognitive tracks, and establishing a steady-state characterization network adaptive to the scene as a unified quantification reference; the core lies in that a double-track mapping relation conforming to a'bias-feature component group-efficacy network 'hierarchical topological structure is constructed, and the relation is constrained by cluster correspondence, network effect and context dependency, so that the overall attributes of traditional Chinese medicine and the material structure of western medicine are communicated. And finally, based on the data mapped to the unified benchmark, completing integrated quantitative evaluation and safety analysis of the substance. According to the method, systematic and standardized evaluation of the medicinal and edible substances is realized, and the method can be directly used for food-nourishing product research and development and individualized food-nourishing scheme formulation.

The invention discloses a carbon tetrachloride damage model construction and nutrition intervention evaluation method based on a three-dimensional liver chip, and belongs to the technical field of microfluidics and biological medicines. According to the method, an in-vitro bionic liver tissue model is constructed by utilizing a three-dimensional liver chip, liver cell injury is induced by perfusing carbon tetrachloride, on the basis, substances such as algae-derived extracellular vesicles are added for repairing intervention, and meanwhile, contrastive analysis is performed with a two-dimensional plate culture system. Results show that the secretion level and the function maintenance time of albumin, urea and the like of liver cells in a liver chip model are superior to those of two-dimensional culture, and after nutrient intervention is carried out, liver injury indexes such as ALT, AST and the like in the chip model are remarkably reduced, and the cell activity and the metabolic function are obviously recovered. The model can be used for evaluating the curative effect of nutrient substances on chemical liver injury, overcomes animal experiment species difference and two-dimensional culture limitation, provides an efficient and sensitive in-vitro research platform for medicine and nutrition function screening, and has wide application prospects and industrialization potential.

The invention discloses an individualized nutrition intervention system for a patient with local advanced pancreatic cancer, which comprises a multi-dimensional dynamic monitoring module connected with various monitoring devices and used for collecting metabolism, physiology and tumor specificity omics data of the patient in real time; the monitoring device comprises a wearable physiological monitoring device, a portable blood detection device, a metabolism monitoring device and a tumor specificity omics data detection device, and the dynamic adaptability intervention module utilizes an AI algorithm and a machine learning model. According to the individualized nutrition intervention system for the patient with the local advanced pancreatic cancer, various low-cost monitoring devices are connected, metabolism, physiology and tumor specificity omics data of the patient are comprehensively collected in real time, nutrition risks possibly occurring in the treatment process can be more sensitively captured, a reliable basis is provided for timely adjusting a nutrition intervention scheme, and the patient experience is improved. The problem of insufficient monitoring data in the prior art is effectively solved, the nutrition evaluation accuracy is improved, and rich data support is provided for personalized nutrition intervention.

The invention discloses a special diet for improving cardiovascular and cerebrovascular diseases and microcirculation disturbance and a preparation method thereof. The health food is prepared from the following raw materials in parts by weight: 30-35 parts of Chinese yam peptide, 30-35 parts of earthworm protein peptide, 20-25 parts of freeze-dried natto powder, 15-20 parts of euphausia superba oil microcapsule powder, 10-15 parts of red yeast rice powder, 5-10 parts of taurine, 5-10 parts of ginseng, 2-5 parts of vitamin C, 2-5 parts of vitamin B1 and 2-5 parts of vitamin B2. The Chinese yam peptide, the earthworm protein peptide, the natto freeze-dried powder, the euphausia superba oil micro-capsule powder, the red yeast rice powder, the taurine, the ginseng, the vitamin C, the vitamin B1 and the vitamin B2 are prepared into the special diet for improving cardiovascular and cerebrovascular diseases and microcirculation disturbance, and various natural plants are matched with active effective components of medicinal and edible foods, so that the special diet has the effects of being medicinal and edible and being free of toxic and side effects. Meanwhile, the nutrition intervention effect is achieved on serious diseases such as cardia-cerebrovascular diseases and the like; the traditional Chinese medicine composition can restore original vitality of heart and cerebral vessels, improve blood and oxygen supply functions of whole body tissues, and reduce blood fat and blood viscosity.

The invention discloses a diabetes nutrition intervention system based on a four-dimensional theory, which belongs to the field of nutrition intervention and comprises a precise nutrition intervention module, a metabolic rhythm regulation module, an intestinal flora optimization module, an emotional and lifestyle management module, a data acquisition and analysis module and a scheme regulation module. Through the synergistic effect of four dimensions of precise nutrition intervention, metabolic rhythm regulation, intestinal flora optimization and emotional and lifestyle management, the limitation of a single intervention mode is broken through, and systematic regulation of blood sugar is realized from multiple aspects of nutrition metabolism, biological clock regulation, intestinal microecological balance, physical and mental states and the like; compared with traditional single diet or exercise intervention, the insulin sensitivity can be more remarkably improved, and the blood sugar fluctuation range is reduced; according to the invention, food intervention is taken as a core, and life style adjustment is combined, so that the side effects of gastrointestinal reaction, liver and kidney function burden and the like possibly caused by long-term drug treatment are avoided.

The invention provides a nutrition dynamic optimization method and system based on multi-model fusion, and relates to the technical field of nutrition health and artificial intelligence, and the method comprises the steps: carrying out the blood glucose prediction based on the comprehensive data of a user, generating a blood glucose prediction sequence, carrying out the key metabolic path node recognition based on the comprehensive data, and obtaining a node activation distribution vector. Calculating a metabolic elasticity index based on the comprehensive data and the node activation distribution vector, optimizing a dietary fiber threshold value of the user based on the metabolic elasticity index and the comprehensive data, generating various nutrition schemes based on the metabolic elasticity index, the blood glucose prediction sequence, the node activation distribution vector and the comprehensive data, and calculating the dietary fiber content of the nutrition schemes. Calculating the difference value between the dietary fiber threshold value and the dietary fiber threshold value, arranging the difference value in an ascending order, and outputting the first nutrition scheme. Through multi-omics linkage and dynamic optimization of the metabolic elasticity index, accurate matching of nutrition intervention and real-time physiological status and flora characteristics of the user is realized, and a personalized scheme is provided for diabetic people.

The invention belongs to the technical field of biology, and discloses a composition for targeted regulation of type 2 diabetes gene epigenetic modification level, which comprises a formula A and a formula B. The formula A comprises the following components in percentage by mass: 86.5-90% of inulin, 9-12% of dihydroquercetin and 1-1.5% of vitamin C; and the formula B comprises the following components in percentage by weight: 80 to 88 percent of fructo-oligosaccharide, 5 to 15 percent of honeysuckle flower powder, 1 to 7 percent of betaine, 0.1 to 0.3 percent of vitamin C, 0.001 to 0.002 percent of vitamin B2, 0.001 to 0.002 percent of vitamin B6, 0.000004 to 0.000008 percent of vitamin B12 and 0.00004 to 0.00006 percent of folic acid. By designing the components and proportions of the formula A and the formula B and by means of nutrition intervention, part of the components serve as nutrient substances to participate in one-carbon unit metabolism, it is found in practice that the DNA methylation level of a TGFB1 gene expression regulation region can be regulated, high expression of TGFB1 is inhibited, the risk of suffering from type 2 diabetes mellitus and type 2 diabetic nephropathy is reduced, and the application prospect is wide. Type 2 diabetes and complications are improved and relieved, and the effects of preventing, improving and treating the type 2 diabetes are achieved.

The invention discloses a radiotherapy nutrition risk assessment system and method based on multi-modal data, and relates to the technical field of medical information, and the system comprises a modal high-dimensional data feature module which integrates radiotherapy patient structured clinical data, unstructured text records and time sequence radiomics data, forms a patient multi-modal data stream, and stores the patient multi-modal data stream; establishing a patient multi-modal high-dimensional feature tensor time sequence; the radiotherapy nutrition risk time sequence prediction module adaptively learns the dynamic weight of each modal feature according to the current state of the patient, generates a weighted fusion multi-modal feature vector, establishes a patient radiotherapy nutrition risk time sequence prediction model, realizes nutrition risk level prediction of the patient after N treatment times in the future, and identifies the risk evolution trajectory of the patient; and the radiotherapy nutrition risk assessment module is used for associating and pairing hospital nutrition intervention knowledge bases, generating patient individualized nutrition intervention suggestions and realizing radiotherapy nutrition risk assessment of patient multi-modal data. According to the method, the complete-cycle state of the patient can be depicted finely.

The invention relates to the technical field of organic biological selenium preparation, in particular to a lactobacillus plantarum exopolysaccharide selenylation agent and a preparation method thereof. Based on the natural biological activity of lactobacillus plantarum exopolysaccharide, the exopolysaccharide (JS-EPS) produced by lactobacillus plantarum JS is used as a raw material, the structural change is identified through selenylation modification, the oxidation resistance and the blood sugar reducing capacity of the exopolysaccharide are improved, and the JS-EPS is subjected to selenylation modification by using sodium selenite as a selenylation agent and nitric acid as a catalyst to obtain Se-JS-EPS; through natural carrier innovation and green catalysis technology breakthrough, a non-toxic selenium modification technology system is established, the safety problem is solved, and technical support is provided for the fields of functional food, precise nutrition intervention and medicine raw materials.

The application discloses an immune dynamic trajectory modeling method and system, which solves the problems that the prior art cannot accurately locate the inflection point of the change of the immune parameter with age, cannot comprehensively evaluate the immune state of multiple parameters, and lacks visual dynamic trajectory output. The method comprises the following steps: collecting multiple lymphocyte subpopulation parameters in peripheral blood; detecting the trend of each immune parameter with age, calculating the change slope before and after each inflection point; dimension reduction and weighting are performed on multiple immune parameters to construct a comprehensive immune index (CII); and a dynamic trajectory graph containing the inflection point age of each immune parameter, the change slope and the comprehensive index trend graph is output. The application integrates flow cytometry detection data, piecewise regression model and principal component analysis model, can intuitively display the nonlinear and multi-stage characteristics of the evolution of the immune system with age, identify the key aging inflection point, and provide a quantitative tool for population immune state screening, aging mechanism research and drug or nutrition intervention effect evaluation.

The invention discloses a composition for promoting skeletal muscle injury regeneration and application thereof, and belongs to the technical field of medicines. In order to solve the technical problems that in the prior art, the skeletal muscle injury regeneration promotion effect of nutrients is insufficient, and the new application of eleutheroside B in the field is undefined, the invention provides a composition for promoting skeletal muscle injury regeneration, and the composition effectively shortens the regeneration time of skeletal muscle after chemical injury or mechanical injury and improves the skeletal muscle regeneration effect. The maturity of new muscle fibers is improved; the composition can be in oral dosage forms such as instant powder, oral liquid or tablets, can take effect on the day of injury, does not need local injection, is convenient to use, and is suitable for preparing functional food or formula food for special medical purposes for shortening the regeneration time of skeletal muscle after injury and improving the maturity of new muscle fibers. And a new technical scheme is provided for nutrition intervention of skeletal muscle injury.

The invention provides an application of zein hydrolysate in health-care food for inflammation inhibition and antioxidant regulation. The zein hydrolysate has remarkable regulation and anti-inflammatory effects on intestinal inflammation on the cell and animal level, and it is proved that the zein hydrolysate can inhibit release of proinflammatory factors and promote expression of anti-inflammatory factors by regulating MAPK and NF-kappa B signal channels. The zein hydrolysate can reduce expression of p-I kappa B alpha and p-JNK, promote up-regulation of I kappa B alpha and SOD and remarkably improve the level of p-ERK, and it is proved that the zein hydrolysate has the dual functions of regulating immune balance and relieving oxidative stress. The zein hydrolysate serves as a natural immunoregulation functional peptide, provides theoretical basis and experimental support for relieving intestinal inflammation and improving intestinal barrier function development, and has potential application value in the field of functional food and nutrition intervention.

The invention belongs to the technical field of artificial intelligence and medical health crossing, and particularly relates to a user portrait generation system based on patient pro-inflammatory dietary behavior analysis. According to the system, a dynamic user portrait containing a pro-inflammatory risk level, a behavior vulnerability dimension and an intervention suggestion is generated by collecting dietary and physiological data, calculating a time serialization pro-inflammatory load index, identifying a dietary behavior pattern and fusing multi-dimensional features such as clinical features, gene features, microorganism features and lifestyle features by utilizing an interpretable machine learning model; precise nutrition intervention and continuous tracking are supported; the system outputs a dietary behavior vulnerability dimension through an interpretable machine learning model, so that a doctor or a nutritionist can quickly understand a core problem of a patient and formulate a targeted strategy, and doctor-patient communication efficiency and intervention compliance are greatly improved.

The application provides a dynamic training optimization system and method based on multi-dimensional biological feedback, and relates to the technical field of intelligent sensing and behavior optimization.The application realizes accurate optimization of the mother-fetus interaction environment by constructing a joint evaluation matrix of physiological data of pregnant women and fetal development indicators, and introduces a regulation technology based on body dynamics and beta wave music cooperation, which significantly reduces the matching deviation of maternal physiological parameters and fetal needs.Meanwhile, by using dynamic nutrition intervention and amniotic fluid dynamics monitoring based on biological rhythm synchronization, the dynamic balance of the intervention during pregnancy and the efficient development of fetal synapses are realized, and combined with multi-dimensional sensory stimulation and neural plasticity enhancement scheme, not only the synaptic density and neural network efficiency of the fetal brain functional area are greatly improved, but also the key problems such as single stimulation, non-systematic intervention and development evaluation lag in the existing fetal education method are effectively solved.

The invention discloses a vegetation nutrition regulation and control sprinkling irrigation method and system for an electromagnetic current affected area of a power transmission line. The method comprises the following steps: constructing an electromagnetic current composite interference simulation environment of the power transmission line and carrying out data monitoring; according to the monitored data, a vegetation growth curve is drawn, and a dynamic deviation point is identified; and performing real-time self-adaptive nutrition intervention based on the dynamic deviation point. According to the method, accurate nutrition supplement is carried out on the vegetation in the composite interference area at the best time, and growth inhibition is effectively restrained.