10 results about "Nutritional status" patented technology

The present application relates to the technical field of animal health monitoring, and relates to a wild animal non-invasive genome monitoring and population health evaluation system. A time indication marker is generated based on the ratio of a predetermined indicator bacteria genus, and microenvironment data is input into a pre-trained microbial succession model to intelligently infer the actual exposure time of the sample in the wild. Then, the initial intestinal flora map of the sample at the instant of discharge is reconstructed. The high-fidelity flora map after reconstruction is further deeply coupled with health evaluation to realize scientific diagnosis and early warning of the physiological state of wild animal individuals. The accuracy of health evaluation, nutritional status analysis and pathogen detection is greatly improved, and major misjudgments such as misjudging environmental bacteria as pathogenic bacteria or misdiagnosing flora natural decay as ecological imbalance are avoided. A stable and reliable technical tool is provided for wild animal protection management.

This invention belongs to the field of spectral detection technology, specifically relating to a method for detecting the nutritional status of honeysuckle plants based on near-infrared spectroscopy. It aims to solve the problems of strong specular reflection interference, moisture background shielding of nutrient signals, and insufficient applicability throughout the entire growth period in in-situ detection of live honeysuckle. The method suppresses specular reflection on the leaf surface through orthogonal extinction and collects deep diffuse reflectance spectra; it obtains standardized reflectance using real-time background difference and dark current compensation; it achieves moisture background decoupling through orthogonal signal correction and external parameter orthogonalization; it extracts feature wavelength vectors through multi-scale continuous wavelet transform; it inputs a deep residual network model with a self-attention mechanism and combines it with a phenological adaptive compensation algorithm to invert nutrient quality fractions; finally, it compares the results with a nutrient critical value database for the entire growth period to calculate the surplus / deficit index and complete nutrient diagnosis. This significantly improves the spectral signal-to-noise ratio and detection accuracy, achieving rapid and stable detection of the nutritional status of live honeysuckle throughout the entire growth period.

The application belongs to the technical field of food processing, and particularly relates to egg white-chlorella compound protein gel and application thereof in preparation of dysphagia adaptive food. The application provides an egg white-chlorella compound protein gel, which is obtained by heating and cross-linking of egg white protein and chlorella protein dispersed in water. The gel has high protein density (protein content is greater than or equal to 12 w / w %) and low hardness (<120 g), and its swallowing adaptability meets the international dysphagia diet standardization initiative (IDDSI) 3-5 solid food standard, so that the eating needs of patients with moderate to severe dysphagia who cannot independently control liquid intake can be met, and a new food option with high nutritional density and excellent swallowing safety is provided for the patients, so that the nutritional status of the patients can be effectively improved and the life quality of the patients can be improved.

The application provides a system for non-invasively evaluating the intrauterine nutrition condition of a newborn and application thereof, and the system is used for analyzing the change of compound components in meconium of the newborn. The application first proposes a novel system and method for non-invasively evaluating the intrauterine nutrition condition of the newborn, and the method can quickly and conveniently evaluate the intrauterine nutrition condition of the newborn in a non-invasive manner.

We provide the system. [Solution] An information input means for the user to input their meal history and physiological data, A data analysis means that analyzes input information and evaluates nutritional status, A plan generation means that automatically generates a meal plan using food available from the nearest food service provider based on the analysis results, An information display means that presents the generated meal plan to the user and provides instructions to immediately place an order, A system that includes this.

This invention discloses a machine vision-based intelligent management system, device, and medium for the health of garden plants, relating to the fields of machine vision and image processing technology. The system includes: a machine vision module for acquiring a set of garden plant images containing visible light, infrared, and spectral images; a plant risk first, second, and third map acquisition module for tracing growth accidents, heat stress, and nutritional status risks based on visible light, infrared, and spectral images, respectively, and obtaining corresponding risk maps; and a garden plant health management execution module for performing garden plant health management based on these three maps. This invention solves the technical problem that traditional methods struggle to comprehensively and accurately capture the multi-dimensional health status of garden plants, thus hindering precise management. It achieves the technical effect of comprehensive and accurate capture and intelligent management of multi-dimensional health risks related to growth accidents, heat stress, and nutritional status in garden plants.

This invention provides a hemp seed protein peptide that enhances immunity and serum protein levels, along with its preparation method and applications, belonging to the field of hemp seed protein peptide technology. The preparation method includes: pulverizing defatted hemp seed meal and sequentially subjecting it to hydrolysis by a complex polysaccharide enzyme, a protease, and an amidase to obtain an enzymatic hydrolysate. This hydrolysate is then processed to obtain the hemp seed protein peptide. The complex polysaccharide enzyme is a combination of cellulase, pectinase, and xylanase; the protease is pepsin; and the amidase is PNGase F. The hemp seed protein peptide of this invention has the following significant effects: 1. Significantly improves serum albumin, immunoglobulin, prealbumin, and total protein levels and immunity in middle-aged and elderly individuals, those with weak constitutions / poor nutritional status, and those recovering from illness / surgery; 2. Rapidly improves fatigue symptoms in these individuals, such as emaciation, weakness, lethargy, and poor sleep, boosting energy and relieving limb heaviness and soreness.

This invention discloses a novel functional fertilizer production technology that utilizes iodine-containing water-soluble fertilizer with nutritional and disease-preventing properties and its preparation method. The fertilizer is scientifically formulated from macronutrients (potassium nitrate, ammonium dihydrogen phosphate, urea), a complex iodine source (potassium iodate, amino acid chelated iodine, seaweed iodine extract), biostimulant and stabilizing components (potassium humate, sugar alcohol mixture, vitamin C), and micronutrients. Its preparation method employs a unique "two-step chelation / complexation stabilization process," first constructing a stable iodine-containing mother liquor, then integrating it with macronutrients to ensure high stability and activity of iodine in the fertilizer system. This invention effectively solves the problems of low utilization rate and poor stability of iodine supplementation in agriculture. While providing balanced nutrition, it significantly promotes crop growth and improves its stress resistance, enabling efficient biofortification of iodine in agricultural products. The process is simple and suitable for modern integrated water and fertilizer management, and is of great significance for producing functional iodine-rich agricultural products and improving the public's iodine nutrition status.

This invention belongs to the field of artificial intelligence technology, and specifically relates to an AI-based rehabilitation analysis method. This method establishes an individual baseline model by collecting physiological monitoring data, activity level data, nutritional status data, sleep quality data, and psychological status data over two consecutive monitoring cycles to determine the current rehabilitation stage. It calculates integrity, stability, bi-cycle trend consistency, abnormal deviation, and cross-modal conflict indices for each rehabilitation data point to determine a reliability coefficient. Based on the reliability coefficient, risk features are adaptively weighted and fused to obtain a comprehensive rehabilitation risk value and perform risk stratification. Finally, the risk thresholds for each rehabilitation indicator are dynamically updated in an individualized manner to generate training intensity data, nutritional support intensity data, sleep intervention data, and psychological intervention data. This invention can improve the accuracy of identification and evaluation during the rehabilitation period of elderly frail patients, combining evaluation results with intervention measures.