This review summarises the evidence for a link between the porcine intestinal microbiota
and growth and feed efficiency (FE), and suggests microbiota-targeted strategies to improve …

The existence of genetic control over the abundance of particular taxa and the link of these
to energy balance and growth has been documented in model organisms and humans as …

In this study, accurate and convenient prediction models of tubular solar still performance,
expressed as hourly production, were developed by utilizing machine learning. Based on …

In this study, we have developed a novel three-layer cylindrical periodic structure utilizing
metamaterials, combining a periodic cylindrical arrangement with a Metal-Insulator-Metal …

Small-scale studies investigating the relationship between pigs' intestinal microbiota and
growth performance have generated inconsistent results. We hypothesized that on farms …

Despite recent efforts to characterize longitudinal variation in the swine gut microbiome, the
extent to which a host's genome impacts the composition of its gut microbiome is not yet well …

Timely monitoring and precise estimation of body composition parameters, such as fat mass
(FM) and fat-free mass (FFM), are crucial for pig production. Therefore, this study aimed to …

A timely and accurate estimation of body weight in finishing pigs is critical in determining
profits by allowing pork producers to make informed marketing decisions on group-housed …

Background Normalization, as a pre-processing step, can significantly affect the resolution of
machine learning analysis for microbiome studies. There are countless options for …

Large biological datasets with many variables and a small number of biological replicates
(“omics” sciences and industry data) are challenging to analyze with traditional inferential …