AIMC Topic: Animals

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Improving bovine disease detection through multilabel classification.

Scientific reports
R1.C1: The dairy industry is a cornerstone of global food production and economic development; yet, its productivity is frequently hindered by common bovine health issues, including lameness, mastitis, metritis, and foot-and-mouth disease. These cond...

Evaluating the effectiveness of the forest pests and diseases control methods on the industrial wood production using deep learning.

Scientific reports
Industrial wood production plays a vital role in the economies of many countries by supplying raw materials for a wide range of sectors, including construction, paper, and pulp industries. However, the industry is increasingly challenged by the detri...

Predictive Coding Light.

Nature communications
Current machine learning systems consume vastly more energy than biological brains. Neuromorphic systems aim to overcome this difference by mimicking the brain's information coding via discrete voltage spikes. However, it remains unclear how both art...

A 3D model predicts behavior of a soft bodied worm robot performing peristaltic locomotion.

Bioinspiration & biomimetics
The passive compliance of a soft worm-like body can be a key advantage for traversal of complex confined spaces, but in practice, the body's stiffness and contact friction often require experimental adjustments. Here, for the first time, we develop a...

Deep learning-powered high-efficient atomic force microscopy single-cell nanomechanical analysis on diverse biointerfaces.

Biochemical and biophysical research communications
The extracellular matrix (ECM) is crucial in tuning cellular behavior, and quantifying cellular mechanical changes in response to ECM stimuli can help reveal the underlying physical mechanisms of cell-ECM interactions for a comprehensive understandin...

Developing a predictive QSAR model for FGFR-1 inhibitors: integrating computational and experimental validation.

Journal of computer-aided molecular design
The traditional drug discovery process is often lengthy, costly, and characterized by a high failure rate. There is a pressing need for innovative strategies to optimize this process and improve the chances of identifying effective therapeutic candid...

Genomic Identification and Validation of Candidate Genes Associated with Alkalinity Tolerance in Exopalaemon carinicauda.

Marine biotechnology (New York, N.Y.)
China harbors extensive saline-alkaline water resources with considerable potential for aquaculture development. However, their utilization is constrained by high pH, elevated carbonate alkalinity, and complex ionic composition. Exopalaemon carinicau...

The gut‑skin axis: Emerging insights in understanding and treating skin diseases through gut microbiome modulation (Review).

International journal of molecular medicine
 Emerging evidence indicates a significant association between the composition and functionality of the gut microbiome and various skin disorders, including psoriasis, atopic dermatitis, acne and several dermatological conditions. The gut‑skin axis t...

When crops fail, forests follow: Agricultural shocks and deforestation in Zambia.

Proceedings of the National Academy of Sciences of the United States of America
As climate change makes agricultural production shocks more frequent and severe, it is vital to understand their effect on farmer welfare, land use, and deforestation. Theoretically, a change in agricultural productivity could increase or decrease de...

Identification of methylation-related genes and the potential regulatory mechanism of SLAMF6 in CMS4 colorectal cancer.

Clinical epigenetics
BACKGROUNDS: Consensus molecular subtype 4 (CMS4) of colorectal cancer (CRC) is characterized by TGF-β activation, and generally accompanied with metastasis and recurrence. Nevertheless, molecular biomarkers and regulatory mechanisms underlying CMS4 ...