AIMC Topic: Feeding Behavior

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Impact of subclinical mastitis on greenhouse gas emissions intensity and profitability of dairy cows in Norway.

Preventive veterinary medicine
Impaired animal health causes both productivity and profitability losses on dairy farms, resulting in inefficient use of inputs and increase in greenhouse gas (GHG) emissions produced per unit of product (i.e. emissions intensity). Here, we used subc...

Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species.

Forensic science international
Blowflies (Diptera: Calliphoridae) are forensically important as they are known to be one of the first to colonise human remains. The larval stage is typically used to assist a forensic entomologists with adult flies rarely used as they are difficult...

An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications.

PloS one
This paper proposes a new support vector machine (SVM) optimization scheme based on an improved chaotic fly optimization algorithm (FOA) with a mutation strategy to simultaneously perform parameter setting turning for the SVM and feature selection. I...

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

Journal of nutrigenetics and nutrigenomics
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 ...

Robotic milking: Feeding strategies and economic returns.

Journal of dairy science
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 ...

Machine Learning for Characterization of Insect Vector Feeding.

PLoS computational biology
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...

Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model.

Computers in biology and medicine
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 ...

In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning.

Sensors (Basel, Switzerland)
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...

From honeybees to robots and back: division of labour based on partitioning social inhibition.

Bioinspiration & biomimetics
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...

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

TheScientificWorldJournal
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...