Université d'Artois

Pectin–Protein Complexes: A Design‐Oriented Platform for Tailoring Food Texture Modification

ABSTRACT Pectin–protein complexes have emerged as promising functional ingredients in texture‐modified foods (TMF) due to their multifunctional roles in gelation, emulsification, and water retention. These properties enable the design of customized textures for applications such...

Constraints and opportunities: The case of the first French professional female rugby players

This study aims to address the lack of research on the dual-career experiences of the first generation of professional female rugby players in France. Specifically, it examines (1) the current status of professional female rugby players and (2) how they combine their rugby career...

Visible mould and blood inflammatory phenotypes of asthma in adults: the CONSTANCES cohort

Studying the associations between indoor mould contamination and blood inflammatory phenotypes may provide further insight into the mechanisms by which this environmental factor affects asthma. Among 1870 adults with current asthma from a population-based cohort, 29.6% reported v...

Coordinative chain transfer homopolymerization and copolymerization of bio‐sourced β ‐myrcene and butadiene promoted by iminopyridine iron complexes

Abstract A family of iron complexes bearing iminopyridine (ImPy) ligands with systematic variations on the N ‐aryl and pyridine moieties was evaluated as pre‐catalysts for the coordinative polymerization of β‐myrcene and butadiene. Upon activation with Al i Bu 3 and trityl borate...

Decoupling geometry and topography reveals contrasting ecomorphological signals in carnivoran carnassial teeth

Abstract The lower carnassial tooth (m1) is a key innovation underlying the ecological diversification of Carnivora. However, their exceptionally diverse phenotypes result from both functional adaptation and phylogenetic inertia which challenges ecomorphological inferences. We in...

Graph-Based Machine Learning for Predicting Drug–Drug Interactions: A Systematic Review

Background/Objectives: Drug–drug interactions (DDIs) are major medication-safety concerns, and experimental testing cannot cover the expanding number of drug pairs. This systematic review evaluates graph-based machine-learning methods for DDI prediction, focusing on machine-learn...

Identification of Activity, Insulin, and Dietary Thresholds Associated With Exercise‐Related Hypoglycaemia and Hyperglycaemia in Children With Type 1 Diabetes: A Free‐Living Study Using Explainable Machine Learning

ABSTRACT Aims Some studies have explored associations between physical activity (PA) and hypoglycaemia in real‐life in type 1 diabetes (T1D) but without fully accounting for two major confounders, diet and insulin. We aimed to identify thresholds of PA characteristics, insulin, a...