AIMC Topic: Behavior, Animal
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Use of a priority lane to increase voluntary visits to a milking robot in dairy cows.
Journal of dairy science
Apr 17, 2025
Voluntary visits to the milking robot are the basis of automatic milking system functionality. Therefore, problems arise when cows are undermotivated to visit the robot. Cows with reduced competitive abilities, specifically those that are lame or low...
PursuitNet: A deep learning model for predicting competitive pursuit-like behavior in mice.
Brain research
Apr 8, 2025
Predator-prey interactions exemplify adaptive intelligence refined by evolution, yet replicating these behaviors in artificial systems remains challenging. Here, we introduce PursuitNet, a deep learning framework specifically designed to model the co...
The fruit fly, , as a microrobotics platform.
Proceedings of the National Academy of Sciences of the United States of America
Apr 8, 2025
Engineering small autonomous agents capable of operating in the microscale environment remains a key challenge, with current systems still evolving. Our study explores the fruit fly, , a classic model system in biology and a species adept at microsca...
The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques.
Scientific reports
Apr 7, 2025
Despite advancements in video-based behaviour analysis and detection models for various species, existing methods are suboptimal to detect macaques in complex laboratory environments. To address this gap, we present MacqD, a modified Mask R-CNN model...
Animal-robot interaction induces local enhancement in the Mediterranean fruit flyWiedemann.
Bioinspiration & biomimetics
Apr 7, 2025
Animal-robot interaction (ARI) is an emerging field that uses biomimetic robots to replicate biological cues, enabling controlled studies of animal behavior. This study investigates the potential for ARI systems to induce local enhancement (e.g. wher...
Niuhuang jiedu prescription alleviates realgar-induced dopaminergic and GABAergic neurotoxicity in Caenorhabditis elegans.
Journal of ethnopharmacology
Apr 2, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Niuhuang Jiedu (NHJD) is a Chinese medicine prescription containing realgar (AsS), which is neurotoxic, and seven other traditional Chinese medicines (TCMs). However, whether the multiple TCMs contained in NHJD can mit...
FlyVISTA, an integrated machine learning platform for deep phenotyping of sleep in .
Science advances
Mar 12, 2025
There is great interest in using genetically tractable organisms such as to gain insights into the regulation and function of sleep. However, sleep phenotyping in has largely relied on simple measures of locomotor inactivity. Here, we present FlyVI...
AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies.
Sensors (Basel, Switzerland)
Mar 4, 2025
The Morris Water Maze (MWM) is a widely used behavioral test to assess the spatial learning and memory of animals, particularly valuable in studying neurodegenerative disorders such as Alzheimer's disease. Traditional methods for analyzing MWM experi...
Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique.
Scientific reports
Feb 28, 2025
Surgical castration of males is carried out on a large scale in the US swine industry and the pain resulting from this procedure can be assessed using the Unesp-Botucatu pig composite acute pain scale (UPAPS). We aim to propose a short version of UPA...
Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.
Poultry science
Feb 27, 2025
Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. Advancements in image processing and machine learning provide opportunities to automatically quantify and analyze broiler activity. This study aimed t...
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