AIMC Topic: Animals

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Automated analysis of mouse rearing using deep learning.

Journal of pharmacological sciences
Rodent rearing behavior is frequently assessed as an indicator of anxiety and exploratory tendencies. This study developed a convolutional recurrent neural network (CRNN) model to detect mouse rearing using overhead videos. Behavioral data from C57BL...

Mucosal immune responses and intestinal microbiome associations in wild spotted hyenas (Crocuta crocuta).

Communications biology
Little is known about host-gut microbiome interactions within natural populations at the intestinal mucosa, the primary interface. We investigate associations between the intestinal microbiome and mucosal immune measures while controlling for host, s...

Optimal feature selection and model explanation for reef fish sound classification.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Fish produce a wide variety of sounds that contribute to the soundscapes of aquatic environments. In reef systems, these sounds are important acoustic cues for various ecological processes. Artificial intelligence methods to detect, classify and iden...

Acoustic monitoring for tropical insect conservation.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past de...

Environmental drivers of calling activity in the critically endangered lemur leaf frog, (Hylidae: Phyllomedusinae).

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Tropical frog species are known to exhibit high sensitivity to weather regime alterations, which leaves them vulnerable to ongoing climate change. This challenge is exacerbated by limited knowledge of species-specific responses to environmental chang...

Unraveling the ecotoxicity of micro(nano)plastics loaded with environmental pollutants using ensemble machine learning.

Journal of hazardous materials
Micro(nano)plastics are ubiquitous and pose a severe threat to the environment and human health. Despite increasing research, most existing studies have focused on the toxicity of micro(nano)plastics as individual pollutants. Furthermore, fragmented ...

Aptasensing Technology and Its Potential Applications: Where Do We Stand?

Molecular pharmaceutics
Aptamers, valued for their stability, target affinity, and modifiability, have advanced biosensing, yet key challenges hinder their translation into practical sensing platforms. This work explores the future potential of aptasensing technologies acro...

Enhancing R-loop prediction with high-throughput sequencing data.

NAR genomics and bioinformatics
R-loops are three-stranded RNA and DNA hybrid structures that often occur in the genome and play important roles in a variety of cellular processes from bacteria to mammals. Sequencing methods profiling R-loops genome-wide have revealed that they can...

A novel approach combining YOLO and DeepSORT for detecting and counting live fish in natural environments through video.

PloS one
Applying Artificial Intelligence (AI) to the monitoring of live fish in natural environments represents a promising approach to the sustainable management of aquatic resources. Detecting and counting fish in water through video analysis is crucial fo...

A library of lineage-specific driver lines connects developing neuronal circuits to behavior in the ventral nerve cord.

eLife
Understanding developmental changes in neuronal lineages is crucial to elucidate how they assemble into functional neural networks. Studies investigating nervous system development in model systems have only focused on select regions of the CNS due t...