6945 results about "Ingested food" patented technology

The invention relates to an ice crystal evaporator and an ice crystal water cooling device producing from the same, belonging to the technical field of refrigeration. The ice crystal evaporator is characterized in that a liquid inlet channel is formed by an evaporator tube, a liquid inlet and a liquid outlet in a tubular casing; and the outer channel of the evaporator tube of the tubular casing is divided into more than one S-shaped channel forming a water return channel through a water inlet of a water divider and a water outlet of a water collector. The ice crystal water cooling device is characterized in that the return air inlet of the ice crystal evaporator is communicated with a compressor, a condenser, a liquid feeding valve, a dry filter, a liquid feeding electromagnetic valve anda thermostatic expansion valve in sequence, and then is communicated with the liquid inlet of the ice crystal evaporator; a cooling water inlet / outlet of the condenser is connected with a cooling tower in series; and a water inlet / outlet of the ice crystal evaporator is communicated with a water circulating pump and an ice crystal energy storage tank in series. The invention has the advantages ofhigh cooling efficiency, no icing and low cooling temperature and is suitable for production of energy storage central air-conditioning, marine fishing, seafood processing, fruit, vegetable or meat processing, and the like; the cooled medium is municipal water.

This disclosure relates to dosage forms comprising bupropion hydrochloride, another salt form of bupropion, or the free base form of bupropion; dextromethorphan hydrobromide, another salt form of dextromethorphan, or the free base form of dextromethorphan, and a polymer. In some embodiments, the dosage form has no significant dose dumping of bupropion in the presence of ethanol in vitro. In some embodiments, the dosage form does not have a food effect for bupropion or dextromethorphan when taken with a high-fat meal in human subjects. Some embodiments include a method of treating a nervous system condition (such as depression, e.g., major depressive disorder, including treatment-resistant depression, agitation associated with Alzheimer's disease (or agitation associated with dementia of the Alzheimer's type), agitation associated with dementia, anxiety (or generalized anxiety disorder), neuropathic pain, or peripheral diabetic neuropathic pain) comprising, administering a dosage form described herein to a human being in need thereof.

This disclosure relates to dosage forms comprising bupropion hydrochloride, another salt form of bupropion, or the free base form of bupropion; dextromethorphan hydrobromide, another salt form of dextromethorphan, or the free base form of dextromethorphan, and a polymer. In some embodiments, the dosage form has no significant dose dumping of bupropion in the presence of ethanol in vitro. In some embodiments, the dosage form does not have a food effect for bupropion or dextromethorphan when taken with a high-fat meal in human subjects. Some embodiments include a method of treating a nervous system condition (such as depression, e.g., major depressive disorder, including treatment-resistant depression, agitation associated with Alzheimer's disease (or agitation associated with dementia of the Alzheimer's type), agitation associated with dementia, anxiety (or generalized anxiety disorder), neuropathic pain, or peripheral diabetic neuropathic pain) comprising, administering a dosage form described herein to a human being in need thereof.

This disclosure relates to dosage forms comprising bupropion hydrochloride, another salt form of bupropion, or the free base form of bupropion; dextromethorphan hydrobromide, another salt form of dextromethorphan, or the free base form of dextromethorphan, and a polymer. In some embodiments, the dosage form has no significant dose dumping of bupropion in the presence of ethanol in vitro. In some embodiments, the dosage form does not have a food effect for bupropion or dextromethorphan when taken with a high-fat meal in human subjects. Some embodiments include a method of treating a nervous system condition (such as depression, e.g., major depressive disorder, including treatment-resistant depression, agitation associated with Alzheimer's disease (or agitation associated with dementia of the Alzheimer's type), agitation associated with dementia, anxiety (or generalized anxiety disorder), neuropathic pain, or peripheral diabetic neuropathic pain) comprising, administering a dosage form described herein to a human being in need thereof.

A touchless food dispenser. The touchless food dispenser includes one or more types of food stored therein, one or more removable nozzles, and one or more nozzle replacement mechanisms. The touchless food dispenser is configured to dispense the food through the one or more removable nozzles. The one or more nozzle replacement mechanisms are configured to remove the one or more removable nozzles and replaces the one or more removable nozzles with a different removable nozzle.

The invention relates to a dissolvable food gel gradient-based swallowing ability dynamic quantification method, which comprises the following steps of: constructing a microstructure unit consisting of an instantaneous surface attachment area and a middle-stage debonding layer in dissolvable food gel, and simulating early-stage sensing delay and middle-stage release response in a swallowing process; different material behavior reactions are generated in the front stage, the middle stage and the rear stage of swallowing by regulating and controlling the hydration diffusion rate, the surface tension and the internal cohesion difference value of the gel, and the gel of each stage corresponds to the set micro-viscosity and release coupling ratio, so that swallowing strategies of different stages are adapted; controllable disintegration temperature-sensing microparticles or traceable microcapsules are partially embedded in the food gel, the food gel is detained in a pharyngeal cavity after being swallowed, and the removal efficiency after swallowing is detected according to migration behaviors within a set time window; after swallowing, the reduction behaviors of the oral cavity, the tongue body and the throat muscle group are monitored, and when the characteristic action of reduction delay, secondary mouth opening, repeated swallowing or pharyngeal itching occurs, it is judged that the swallowing behavior closed loop is interrupted.

The present disclosure relates to the technical field of marine fish cultivation and breeding, and in particular to an industrialized cultivation method for a cephalopholissonnerati fry. The method includes: a step of sequentially performing food acclimation and nutrient enrichment on a cephalopholissonnerati parent fish under conditions of 25-29° C. of water temperature and running water, to obtain the parent fish with mature gonad development, and other steps.

A manufacturing process for a food warming pad includes the following steps: a pad body with a groove formed on a second surface is manufactured by an integrated molding process; after the heating wire is embedded in the groove, an encapsulation glue is coated, and a drying operation is performed; after the encapsulation glue is completely cured, a controller is installed; and then, a test is performed to obtain a qualified food warming pad.

The invention provides a method, system and equipment for dynamically detecting food eaten by pandas, and relates to the technical field of dynamic scene detection. The method comprises the following steps: collecting a panda eating video stream, sampling and preprocessing the video stream, constructing a DeepSeek-VL teacher-student model, inputting a sampled key frame into a DeepSeek-VL teacher sub-model in the DeepSeek-VL teacher-student model, and generating a multi-modal supervision signal; based on the multi-modal supervision signal, a knowledge distillation strategy is utilized to carry out staged training on the student sub-model, in the training process, the student sub-model in the DeepSeek-VL teacher-student model learns the multi-modal supervision signal generated by the DeepSeek-VL teacher sub-model, and while the calculation complexity is reduced, lightweight deployment of the model is realized. And the trained DeepSeek-VL teacher-student model is used to carry out dynamic detection on food in the giant panda feeding scene. According to the method, the semantic understanding ability of the giant panda feeding scene is enhanced, and the accuracy of target detection, tracking and classification is improved.

The invention discloses a food nutrition evaluation method and system based on multi-modal fusion. The method comprises the steps of 1, extracting multi-scale features of a food RGB image and an RGB-D depth image in parallel through a multi-scale double-branch Transform encoder; 2, performing cross-modal fusion on the multi-scale features by using a depth perception enhanced attention fusion module; step 3, constructing nutrition prediction branches based on the fused features, and outputting five macro nutrient contents; and step 4, training the training data set on the model in an end-to-end mode, and inputting the RGB image and the RGB-D image of the food to be detected into the trained model to predict the nutrient content. According to the method, perception of volume information of different food types is enhanced by using the RGB-D depth mode corresponding to the food RGB image, visual information in the food RGB image and spatial physical characteristics in the RGB-D image are fused through the depth perception attention enhancement module, so that fusion characteristics with identification information are generated, and the evaluation accuracy is improved.

Methods of and system for growing and maintaining an optimized / ideal active yeast solution in the yeast tank and fermenter tank during the fermentation filling cycle are provided. A new yeast stage tank is used between the yeast tank and the fermenter tank allowing yeast to rapidly produce a huge amount of active young yeast cells for a fermenter during the filling period. A measurable and useful controlling factor, % DT / % Yeast by weight ratio (or “food” to yeast ratio), is used (e.g., % DT=glucose), which offers information on the health status of the yeast. The controlling factor is used to control the status of the yeast throughout the entire process.

Methods of and system for growing and maintaining an optimized / ideal active yeast solution in the yeast tank and fermenter tank during the fermentation filling cycle are provided. A new yeast stage tank is used between the yeast tank and the fermenter tank allowing yeast to rapidly produce a huge amount of active young yeast cells for a fermenter during the filling period. A measurable and useful controlling factor, % DT / % Yeast by weight ratio (or “food” to yeast ratio), is used (e.g., % DT=glucose), which offers information on the health status of the yeast. The controlling factor is used to control the status of the yeast throughout the entire process.

The invention discloses a system and a method for intelligently monitoring blood sugar of a patient before and after diet based on food components, and belongs to the technical field of blood sugar monitoring, and the system comprises a food component quantification module which is used for converting a food image or description into accurate macro nutrient and micronutrient data; the multi-modal data fusion module is used for preprocessing and fusing the multi-modal data of the patient; the patient blood sugar prediction module is used for constructing a patient blood sugar prediction model to analyze the multi-modal fusion data of the patient and predicting the blood sugar of the patient; and the difference analysis optimization module is used for comparing actual blood glucose with predicted blood glucose after meal and analyzing difference reasons. The problems that blood glucose of a patient before and after eating cannot be intelligently monitored, and accurate quantification and prediction of the relation between diet and blood glucose cannot be achieved are solved. The system can intelligently monitor the blood glucose of the patient before and after eating, can help the diabetic to realize accurate quantification and prediction of the relationship between diet and blood glucose, and can effectively control the blood glucose and reduce the risk of complications.

A monitoring and / or food / water / medicine control system and method of use of the systems provide that (i) an experimenter at the computer desktop sets the schedule for feeding / fasting (food or water or medicine) the animal according to their need, and the animal's access to food or water or medicine will be set accordingly. This allows animal scientists, experimentalists, and experimenters to fully control animal feeding scenarios; (ii) the experimenter remotely opens and closes the animal's access to food / water / medicine regardless of the pre-set schedule; (iii) the experimenter checks the animal's status via real-time monitoring; (iv) an artificial intelligence system identifies and tracks the animal's location and its activities; and (v) a software module connects the vision unit and feeding mechanism to the experimenter's desktop to provide full control of both the vision unit and the feeding mechanism, to calculate different parameters of the animal's activities, and to report the animal's feeding / fasting history, activity history, and upcoming scheduled feedings.

The invention relates to the technical field of health management, and discloses an intelligent food recommendation and diet optimization system based on body temperature change, and the system comprises a body temperature dynamic fluctuation curve generation module which collects data in real time through a multi-source temperature sensor of wearable equipment, and is used for generating a body temperature dynamic fluctuation curve; the metabolism state label acquisition module is used for matching the time-frequency domain characteristics with a preset metabolism mode library so as to acquire corresponding metabolism state labels; the calculation module is used for calling nutrient element intake records in the historical diet database of the user and a preset health target and is used for calculating a current metabolic rate deviation value and a nutrition gap; the diet scheme generation module is used for generating a suggested diet scheme containing a recommendation priority score and a real-time eating suggestion based on the metabolic rate deviation value, the nutrition gap and a preset health target; and the monitoring module is used for monitoring body temperature change data after the user executes the recommended diet scheme. The accuracy of health management can be improved.

The present disclosure relates to the technical field of marine fish cultivation and breeding, and in particular to an industrialized cultivation method for a Cephalopholissonnerati fry. The method includes: a step of sequentially performing food acclimation and nutrient enrichment on a Cephalopholissonnerati parent fish under conditions of 25-29° C. of water temperature and running water, to obtain the parent fish with mature gonad development, and other steps.

The invention relates to an AI personalized nutrition evaluation and guidance method based on individual continuous diet data. The AI personalized nutrition evaluation and guidance method comprises the following steps: (1) calculating individual single meal food and nutrient intake; individual health indexes are collected, the individual daily energy demand amount is calculated, and the daily food and nutrient demand amount is determined; (2) carrying out instant personalized nutrition evaluation on food and nutrients ingested by an individual in a single meal according to a domestic public recommendation standard; (3) on the basis of individual nutrition and health data continuously recorded in the longitudinal direction of time, establishing a personalized nutrition intake-health model taking an individual as a unit, and carrying out personalized nutrition evaluation and health risk prompting; and (4) simulating the idea of nutrition guidance of professionals to create an AI nutrition guidance algorithm, and generating AI guidance. By adopting the AI personalized nutrition evaluation and guidance method based on the individual continuous diet data, a sustainable AI-assisted diet self-management solution suitable for daily life scenes is effectively provided.

The invention discloses a prediction system for relevance between seafood seasoning flavor substances and microbial metabolism, and relates to the technical field of food flavor adjustment. The data acquisition module is used for collecting multi-source data by using a self-adaptive sensor network and self-adaptively adjusting the sampling frequency; the data preprocessing module adopts a hierarchical nested architecture and analyzes and extracts features; the relevance model constructs a deep heterogeneous network model fused with a space-time attention mechanism; the model training module is trained by using a meta-learning and reinforcement learning combined strategy; the prediction module improves the prediction accuracy through integrated learning; and the result visualization module adopts a VR / AR technology to realize checking and real-time early warning. According to the method, the correlation between microbial metabolism and flavor substances is accurately predicted, the uncertainty of the product flavor is reduced, the production process is optimized, the product quality and efficiency are improved, and by means of the advanced visualization technology, personnel can conveniently understand the mechanism and handle problems in time, and industrial intelligence is promoted.

The invention discloses a vegetation optimal water level evaluation method based on remote sensing inversion and a food network model, and the method comprises the following steps: carrying out the analysis processing of a multispectral remote sensing image of a target shallow lake, and extracting the area data of submerged vegetation in the target shallow lake; acquiring multi-source data of the target shallow lake over the years; constructing an adaptive food network model for evaluating the optimal water level of submerged vegetation; and after the model is constructed, systematic verification is performed on the adaptive food web model for evaluating the optimal water level of the submerged vegetation. The method has the beneficial effects that a multi-factor driven adaptive food web model is constructed, nutritive salt, water level change, a food web structure and biological behaviors are integrated, and the optimal water level interval of submerged vegetation is scientifically evaluated; dynamic feedback mechanism parameters are introduced, and the response capacity of an ecological system to water level changes is enhanced; and in combination with remote sensing and field data, parameter estimation is performed by adopting a Markov chain Monte Carlo method, so that the prediction precision and ecological adaptability of the model are effectively improved.

The invention discloses an AI-based food image processing method and system, a medium and a product, and relates to the field of artificial intelligence. The method comprises the steps of firstly obtaining a food image after a user cooks according to a preset diet plan, and obtaining a food cooking mode through a food cooking identification model; determining initial calorie in combination with the food database, and obtaining final calorie according to the cooking mode; and when the final calorie exceeds the planned calorie demand, adjusting the suggested edible quantity and feeding back the suggested edible quantity. According to the method, the food calorie is determined in combination with the cooking mode, the problem that the influence of the difference of food processing modes on the food calorie is insufficiently considered in the prior art is solved, and the accuracy of food calorie information calculation is improved.

The invention discloses a food waste detection method and system based on image processing, belongs to the field of image recognition, and aims to realize efficient and automatic recognition and quantification of kitchen waste. According to the method, residual food images are collected at multiple periods and multiple angles in a kitchen garbage can or a dinner plate recovery area through high-resolution and multi-spectral imaging equipment, preprocessing is carried out in combination with an improved Retinex algorithm and a space self-adaptive denoising technology, and the image quality is improved. Afterwards, fine segmentation of a food area is achieved through a multi-scale super-pixel segmentation and graph segmentation algorithm, and multi-category intelligent recognition is conducted on remaining food through a recognition network fused with multi-modal features. The system further combines stereoscopic vision and Monte Carlo sampling to dynamically and accurately count the volume or weight of various residual foods. The method has the advantages of high adaptability and accurate statistical result, and can provide data support for catering management, resource recovery, nutrition evaluation and the like.

The invention discloses a lactobacillus rhamnosus strain with antiallergic activity and a preparation method thereof, the strain is lactobacillus rhamnosus Lrn-PG-06, the classification name of the strain is Lactobacillus rhamnosus, the preservation number is CGMCC (China General Microbiological Culture Collection Center) No.3077, the preservation time is March 21, 2024, the preservation unit is China General Microbiological Culture Collection Center, the preservation number is CGMCC No.3077, and the preservation number is CGMCC No.3077. The address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The lactobacillus rhamnosus Lrn-PG-06 strain is high in acid resistance, alkali resistance and cholate resistance, high in simulated gastrointestinal fluid resistance and high in oxidation resistance, has the advantage of resisting allergy, and solves the problems that at present, allergic diseases are mainly treated by drugs or are prevented from being in contact with allergens in the environment and food, but due to the fact that the drugs are large in toxic and side effects, the allergens cannot be in contact with the allergens in the environment and food. And allergens causing anaphylaxis are difficult to determine, so that allergic diseases are difficult to treat or prevent.

A method is disclosed for dividing semi-solid pet food contained within a can into equal portions and transferring said portions into a reusable container without the use of knives or other kitchen utensils. The method utilizes a specifically designed container comprising an array of internal partitioning blades and ergonomic finger gaps to facilitate hands-free, hygienic food division and transfer. The container enables precise and repeatable portioning of veterinarian-prescribed or over-the-counter canned pet food, thereby supporting consistent feeding regimens and mitigating risks associated with overfeeding or underfeeding. The container is further configured for refrigerator, microwave, and dishwasher compatibility, addressing concerns related to odor retention, moisture accumulation, and reheating. The method and container are additionally applicable to human-grade canned foods and other soft food products requiring equal portioning and hygienic storage.

The present disclosure provides methods and kits for treating or preventing an allergic reaction to a food allergen consumed by a human subject with one or more food allergies. In particular, the present disclosure provides prophylactic therapies comprising administration of an anti-IgE antibody at a specific dose to a human subject who is allergic to one or more food allergens.

The invention provides novel compounds which are peptide hormone analogues, and which are useful in treating disorders such as diabetes and obesity. The compounds of the general sequence recited in the specification possess a tailored profile with regards to potency properties at the GIP receptor. With regard to in vivo properties, administration of example peptides of the invention have been shown, in animal models, to result in increased weight loss. Preferred compounds achieve this without reducing food intake significantly.

The invention relates to a hybridoma cell strain capable of secreting a napropamide-resistant monoclonal antibody and application of the hybridoma cell strain, and belongs to the field of food safety immunodetection. The hybridoma cell strain Tau4 secreting the napropamide cloned antibody is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation date is October 31, 2024, and the preservation number is CGMCC No.46242. The hybridoma cell strain Tau4 secreting the napropamide cloned antibody has the advantages that the hybridoma cell strain Tau4 secreting the napropamide The napropamide-resistant monoclonal antibody secreted by the cell strain is used for analyzing and detecting napropamide residues in food safety detection. The napropamide-resistant monoclonal antibody cell strain obtained by the invention can be used for immunoassay detection, and has better detection sensitivity and specificity (IC50 value is 1.13 ng / mL) on napropamide. The result of the invention can be used for preparing an immunodetection kit and a colloidal gold test strip of napropamide, and provides a powerful detection method and means for detecting the residual quantity of napropamide in foods such as fruits, vegetables and the like.

A container includes a base including cells each sized and shaped for receiving a food item therein, and a land positioned between adjacent cells, and a lid releasably engaged with the base when the container is in a closed configuration, the lid including a cover and a retaining column extending from the cover to a distal column end. The distal column end engages the land of the base when the container is in the closed configuration, the retaining column includes outwardly-extending retainers. When the container is in the closed configuration, each of the outwardly-extending retainers is located over one of the adjacent cells to limit movement of the food item received in the respective cell. Each outwardly-extending retainer is spaced a distance from the distal column end such that a clearance is defined between the outwardly-extending retainers and the plurality of cells when the container is in the closed configuration.

The present invention relates to a fish or meat substitute or a pet food, comprising a myoglobin from or derived from eastern Pacific bonito, sword fish or Atlantic blue marlin.

The invention discloses a coupling evaluation index-based energy flow path evaluation system for a sea-mountain ecosystem, and relates to the technical field of marine ecological evaluation and management, and the system comprises an evaluation center which is in communication connection with a region deployment module, a multi-source collection module, a coupling analysis module, an energy evaluation module, a data management module and a decision support module. According to the system, systematic and standardized collection of biological and environmental data in the sea and mountainous areas is realized through gridding partition of the region deployment module and directional equipment layout in combination with layered collection of the multi-source collection module and standardized pretreatment of samples; the coupling analysis module constructs a coupling index, analyzes an energy flow key path, screens a key environment factor and provides a quantitative evaluation basis; and the energy evaluation module calculates the efficiency of the biological pump, evaluates benthic food supply and spatial change and visually presents the benthic food supply and spatial change, so that refined evaluation and management of ecological energy flow in the western pacific sea mountainous area are realized.