AIMC Topic: Feeding Behavior

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Genetic Variation in CD36 Is Associated with Decreased Fat and Sugar Intake in Obese Children and Adolescents.

Journal of nutrigenetics and nutrigenomics Feb 25, 2017
BACKGROUND/AIMS: Taste is recognized as an important predictor of food choices. Thus, polymorphisms in genes encoding taste receptors may explain the variability in food preference and intake. Here, we aimed to determine whether genetic variation in ...
Feeding Behavior Dietary Fats CD36 Antigens Dietary Sugars Adolescent Pediatric Obesity Taste Perception Eating Child Cross-Sectional Studies Food Preferences Humans Genetic Predisposition to Disease Male Female Brazil Risk Factors Polymorphism, Single Nucleotide Genotype Genetic Association Studies
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Robotic milking: Feeding strategies and economic returns.

Journal of dairy science Feb 16, 2017
Cows in herds equipped with conventional milking parlors follow a structured, consistent, and social milking and feeding routine. Furthermore, in most cases cows in conventional herds receive all their nutrients from a total mixed ration, whereas in ...
Female Animals Cattle Robotics Dairying Feeding Methods Lactation Milk Feeding Behavior
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Machine Learning for Characterization of Insect Vector Feeding.

PLoS computational biology Nov 10, 2016
Insects that feed by ingesting plant and animal fluids cause devastating damage to humans, livestock, and agriculture worldwide, primarily by transmitting pathogens of plants and animals. The feeding processes required for successful pathogen transmi...
Pattern Recognition, Automated Feeding Behavior Citrus Computer Simulation Animals Models, Biological Insect Vectors Plethysmography, Impedance Sucking Behavior Machine Learning
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Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model.

Computers in biology and medicine Jan 22, 2016
In recent years, the Japanese Ministry of Health, Labour, and Welfare is working to improve citizen׳s lifestyle and social environment to improve their health. This is because of the following reasons. Diseases related to lifestyle such as malignant ...
Fuzzy Logic Japan Health Behavior Feeding Behavior Life Style Humans Models, Theoretical
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In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning.

Sensors (Basel, Switzerland) Nov 11, 2015
Pattern classification of ingestive behavior in grazing animals has extreme importance in studies related to animal nutrition, growth and health. In this paper, a system to classify chewing patterns of ruminants in in vivo experiments is developed. T...
Ruminants Equipment Design Feeding Behavior Mastication Machine Learning Animals Fiber Optic Technology Algorithms Biomechanical Phenomena
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From honeybees to robots and back: division of labour based on partitioning social inhibition.

Bioinspiration & biomimetics Oct 26, 2015
In this paper, a distributed adaptive partitioning algorithm inspired by division of labor in honeybees is investigated for its applicability in a swarm of underwater robots in one hand and is qualitatively compared with the behavior of honeybee colo...
Robotics Equipment Design Algorithms Cooperative Behavior Animals Behavior, Animal Social Behavior Equipment Failure Analysis Inhibition, Psychological Biomimetics Bees Feeding Behavior
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FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

TheScientificWorldJournal Jun 15, 2015
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emuls...
Food Motor Activity Basal Metabolism Semantics Algorithms Food Additives Internet Feeding Behavior Models, Theoretical Knowledge Bases Programming Languages Body Mass Index Software Blood Pressure
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A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior.

Sensors (Basel, Switzerland) May 8, 2025
The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rate, mass, environment, and other metrics-may characterize behavioral aspects of eating. This article presents a systematic review of the use of sensor ...
Biosensing Techniques Monitoring, Physiologic Eating Feeding Behavior Humans Machine Learning
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A controllable dual-catapult system inspired by the biomechanics of the dragonfly larvae's predatory strike.

Science robotics Jan 20, 2021
The biomechanics underlying the predatory strike of dragonfly larvae is not yet understood. Dragonfly larvae are aquatic ambush predators, capturing their prey with a strongly modified extensible mouthpart. The current theory of hydraulic pressure be...
Movement Predatory Behavior Odonata Animals Biomechanical Phenomena Feeding Behavior Models, Biological Larva Biomimetic Materials Mouth Robotics
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Robot-assisted feeding: A technical application that combines learning from demonstration and visual interaction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: The traditional meal assistance robots use human-computer interaction such as buttons, voice, and EEG. However, most of them rely on excellent programming technology for development, in parallelism with exhibiting inconvenient interaction...
Humans Robotics Mouth Feeding Behavior
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