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La Plataforma de Extensión y Comunicación del Instituto de Ciencia Animal que presentamos, permite que dicha institución, usando las Tecnologías de la Información y la Comunicación cuente, para el programa de exten...

This study trained the responding by exclusion in dogs, based on a conditional discrimination between dictated names and objects, and empirically evaluated the influence in that performance of human social cues (gestures...

El objetivo de este artículo es analizar la demanda de tracción de la agricultura extensiva pampeana a partir de considerar las aptitudes de las dos especies utilizadas. El estudio abarcó 96 colonias del departamento ...

Abstract Background Central nervous system (CNS) infections in cattle are a major cause of economic loss and mortality. Machine learning (ML) techniques are gaining widespread application in solving predictive tasks in b...

Abstract Introduction Using a cadaveric animal dissection model in training for endoscopic ear surgery procedures is getting popular. This study presents an evaluation questionnaire to demonstrate the results of cadaveri...

Fluorescence imaging through the second near-infrared window (NIR-II,1000–1700 nm) allows in-depth imaging. However, current imaging systems use wide-field illumination and can only provide low-contrast 2D information,...

Deep learning (DL) is making significant inroads into biomedical imaging as it provides novel and powerful ways of accurately and efficiently improving the image quality of photoacoustic microscopy (PAM). Off-the-shelf D...

Weaning is a critical stage in swine production, characterized by intestinal alterations that affect piglet health and performance. In this study, machine learning techniques were applied to identify joint patterns betwe...

Learning is crucial for humans and other animals to acquire knowledge, enhancing survival and reproduction. In particular, individual and social learning allow populations to accumulate knowledge across generations. Here...

Dogs participating in Animal Assisted Interventions (AAI) are prime candidates to assess how increased interactionwith people modulates canine behavior. The aim of this work was to compare the behavior of AAI and pet dog...

Resveratrol, a natural polyphenol, may serve as a potential drug for pulmonary fibrosis (PF). This study uses meta-analysis and machine learning to assess resveratrol's efficacy and optimal treatment on PF animals. Four ...

Abstract Background Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine. Hypothesis/Objectives To derive a model...

Abstract The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning...

ABSTRACT Background Bovine leukemia virus (BLV) infection in beef cattle has received less attention than in dairy herds, despite its potential impact on the beef industry. Objectives To compare six different supervised ...

Abstract Background The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires subs...

Abstract Lameness in cattle is a significant welfare and economic concern. To address this, we developed an end-to-end deep learning framework for 24/7 lameness monitoring using top-down depth images of cattle. The frame...

Learning and memory are fundamental processes, influencing animal foraging behaviour and fitness success. Evaluating food nutritional quality, particularly of proteins and essential amino acids, involves complex sensory ...

Abstract Background Dogs with hypoadrenocorticism (HA) have clinical signs and clinicopathologic abnormalities that can be mistaken as other diseases. In dogs with a differential diagnosis of HA, a machine learning model...

Indonesia has a rich diversity of animals, but the lack of media to introduce endangered species from various regions such as Java, Sulawesi, Bali, NTT and Kalimantan has led to a lack of awareness of their existence, wh...

Abstract Background Sinus node dysfunction because of abnormal impulse generation or sinoatrial conduction block causes bradycardia that can be difficult to differentiate from high parasympathetic/low sympathetic modulat...

Abstract Background Chiari‐like malformation (CM) is a complex malformation of the skull and cranial cervical vertebrae that potentially results in pain and secondary syringomyelia (SM). Chiari‐like malformation‐as...

The research is purposed to generate a  learning trajectory that supports students to understand the concepts of exponential through the context vegetative propagation in animals. The Design Research was chosen as the e...

Despite having >1200 described species and despite their nearly worldwide distribution and prevalence in many xeric ecosystems, relative to many other arachnid groups, we know little about the natural history and behavio...

Abstract Background Cervical vertebral compressive myelopathy (CVCM) and equine neuroaxonal dystrophy/degenerative myeloencephalopathy (eNAD/EDM) are leading causes of spinal ataxia in horses. The conditions can be diffi...