Fatty acid esters of 3-monochloropropane-1,2-diol (3-MCPD) are chemical contaminants found in a wide range of edible oils that are thermally processed during industrial manufacturing of infant formula and other lipid-containing foods in the United borstlist självhäftande States.Rodent studies have unequivocally demonstrated a plethora of in vivo
The Postural and Body Surface Temperature Response of Leisure Horses to Lunging with Selected Lunging Aids
Incorporating lunging into a horse’s daily routine aims to enhance fitness, physical condition, and specific skills or exercises when using lunging aids (LAs).To assess the effectiveness of lunging, non-contact technologies like geometric morphometrics and infrared thermography can be employed.This study seeks to evaluate lunging efficiency based
Density-dependence and within-host competition in a semelparous parasite of leaf-cutting ants
here Abstract Background Parasite heterogeneity and within-host competition are thought to be important factors influencing the dynamics of host-parasite relationships.Yet, while there have been many theoretical investigations of how these factors may act, empirical data is more limited.We investigated the effects of parasite density and heterogen
Group-format, peer-facilitated mental health promotion interventions for students in higher education settings: a scoping review protocol
Introduction Young people in higher education face various stressors that can make them vulnerable to mental ill-health.Mental health promotion in this group therefore has important potential benefits.Peer-facilitated and group-format interventions may be feasible and sustainable.The scoping review outlined in this protocol aims to map the literatu
Deep learning-based multi-criteria recommender system for technology-enhanced learning
Abstract Multi-Criteria Recommender Systems (MCRSs) improve personalization by incorporating multiple user preferences.However, their application in Technology-Enhanced Learning (TEL) remains limited due to challenges such as data sparsity, over-specialization, and cold-start problems.Traditional techniques, such as Singular Value Decomposition (SV