7656 results about "Ingested food" patented technology

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.

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.

An automatic animal feeding system is provided. Embodiments of the automatic animal feeding system include an automatic food dispenser and a food canister storing food pods. The automatic food dispenser couples to the food canister, receives a food pod form the food canister, removes a cover or lid from the food pod, presents the opened food pod for pet consumption, disposes of the food pod into a disposal compartment that is sealed off from the ambient air, and implements other steps of an automatic feeding process. Aspects of the automatic feeding process can be efficiently implemented, for example, by actuating two motors based on data received from sensors of the automatic animal feeding system. Accordingly, embodiments of the present disclosure provide a compact, control-efficient, self-cleaning automatic animal feeding system that can continuously personalize feeding patterns or feed a pet with little to no human intervention over a period of time.

Proposed is a food waste disposal apparatus for automatically discharging food waste by compressing (naturally dewatering), cutting, and drying food waste. More specifically, proposed is a food waste disposal apparatus having a corrugated part provided at an input hole so that same can be bent in all directions, and thus construction is facilitated, and having, at a predetermined distance away from a drying drum that generates high heat, an exhaust fan for discharging internal air of a drying and discharging part, so as to minimize breakdown of the exhaust fan caused by high heat, and enable vibration and noise of the exhaust fan to be prevented.

The invention relates to the field of health management and intelligent terminals, and discloses a nutrition management method and system, a terminal and a storage medium, and the nutrition management method comprises the following steps: an integrated voice recognition module is used for capturing a voice instruction of a user and analyzing a user demand; deploying an augmented reality engine, generating a virtual food model according to a user demand, and displaying a visual effect of the food combination in real time; and establishing a personalized diet database, comprehensively analyzing health data and living habits of the user, and generating a dynamic diet plan. According to the invention, a multi-modal fusion voice recognition and augmented reality scheme is adopted, and a personalized diet database and a sensor network are combined, so that real-time diet management and plan adjustment are realized. The diet health influence is dynamically displayed through an augmented reality simulation tool, flexible intervention is provided through an intelligent reminding system, and the problems that in the prior art, the feedback mode is single, and behavior guidance is not in place are solved.

An apparatus for providing airflow over food waste includes a first housing coupled with a second housing, the first housing having a chamber to hold food waste, the second housing comprising a fan, the first housing and the second housing being coupled to form one or more input channels for the fan to cause air to flow from the second housing through the first housing into the chamber, and the first housing and the second housing forming one or more output channels for the air to flow from the chamber through the first housing and the second housing and out of a vent of the second housing, wherein none of the one or more input channels intersect with any of the one or more output channels.

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.

The invention discloses a protease preparation for preventing pet hair ball disease as well as a preparation method and application thereof, and belongs to the technical field of pet nutrition and health. The protease preparation for preventing the pet hair ball disease is mainly prepared from a compound enzyme, vitamins, trace elements, dietary fibers, probiotics, meat powder and a wall material, and the mass ratio of the compound enzyme to the vitamins to the trace elements to the dietary fibers to the probiotics to the meat powder to the wall material is (1-100): (0.1-1): (0.1-10): (1-70): (0.1-10): (10-60): (10-60). The protease preparation provided by the invention can effectively degrade hair and indigestible food, prevents the hair and food residues from forming pellets to block gastrointestinal tracts, prevents hair bulb syndrome from occurring in mechanism, and is simple in preparation process and wide in application prospect.

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 relates to the field of health management, in particular to an intelligent food identification and diet analysis system based on multi-modal interaction, which comprises an intelligent food scale hardware module, a multi-modal identification module, a food database module, a diet analysis module and a mobile phone end synchronization module. The intelligent food scale hardware module comprises a weighing sensor, a camera, a voice interaction unit and a communication unit; the multi-mode recognition module obtains food information through image recognition or voice recognition and matches the food information with the food database module. The diet analysis module calculates the actual intake according to the weighing data and the matched food information; and the mobile phone end synchronization module supports real-time transmission of data to a mobile phone end APP, and generates visual diet analysis reports and health suggestions. Through an image and voice bimodal recognition mechanism, the food recognition accuracy is remarkably improved, the intelligent weighing and data synchronization functions are combined, the user operation process is simplified, and accurate diet management and health guidance are achieved.

The invention belongs to the technical field of microorganisms, and particularly relates to bifidobacterium longum subsp. Longum as well as a composition, a pharmaceutical composition, a culture, a food product or a dietary supplement containing the bifidobacterium longum subsp. Longum and application of the bifidobacterium longum subsp. Longum. The bifidobacterium longum is preserved in the Guangdong Microbial Culture Collection Center on January 21, 2025, and the preservation number is GDMCC (China General Microbiological Culture Collection Center) No.65836. The bifidobacterium longum subsp. Longum has relatively strong gastric acid and cholate tolerance and intestinal colonization capability; the bifidobacterium longum subsp. Longum can effectively utilize bifidobacterium bifidum to release monosaccharide or disaccharide outside cells for efficient proliferation, and the composition containing the bifidobacterium longum subsp. Longum, the bifidobacterium bifidum and breast milk oligosaccharide can release a large amount of short-chain fatty acid, so that the effects of maintaining the physiological function of an organism and improving the health of the organism are achieved.

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 provides a personalized precise nutrition recipe recommendation method and system based on a genetic algorithm, and the method comprises the steps: inputting various personal information, including gender, age, weight, height, and nutrition risk information (lack of nutrients, risk genes or risk SNP ID), all the personal information being dynamically linked together, and quantitative nutrient demands are generated for specific individuals according to the resident dietary nutrient reference intake and a pre-constructed nutrient-gene interaction database. A food nutrient composition database is pre-constructed on the system and comprises various foods from four different countries and nutritional ingredients of the foods. And then, according to individual quantitative nutrient requirements, selecting and combining food by writing a genetic algorithm, iteratively perfecting the combination of food types and food amounts, and finally outputting an accurate nutrition recipe meeting individual nutrition requirements.

The invention relates to the technical field of health information processing, in particular to an energy metabolism analysis and patient information integration method and system.The energy metabolism analysis and patient information integration method comprises the following steps that on the basis of metabolic rate data and blood detection indexes, classification matching is conducted on local deviation of the metabolic rate and distribution characteristics of biochemical indexes in blood detection; and extracting statistical characteristics in the local abnormal region, and analyzing the correlation change between the metabolic migration and the biochemical indexes. According to the method, potential health risks are revealed through dynamic correlation analysis of metabolic migration characteristic values and blood detection indexes, accurate capture of dynamic physiological changes is achieved in combination with correlation evaluation of vital sign fluctuation data and exercise intensity in the time period, and the dynamic physiological changes are accurately captured through stratified analysis of causal paths and high-frequency health risk parameter adjustment. The accuracy and layering of health risk identification are improved, the nutritional ingredient proportion is optimized to match metabolic requirements, the food intake range is adjusted, personalized diet recommendation is generated through data comparison, and the individual health management requirements are met.