University of Namur

Boron Monofluoride Complexes Bearing π‐Expanded Coumarin Subunits: Facile Synthesis, Crystal Structure, and Solid‐State Enhanced Emission

Boron-containing compounds have received special interest over the last few years owing to their favorable photophysical characteristics, stimulating their use as fluorescent sensors, in bioimaging and mechanofluorochromic materials. However, their synthesis is often time-consumi...

Resolving Anomalous Cage Escape in Fe(III) Photosensitizers: A Marcus Theory Framework

Abstract The cage escape yield (ΦCE), i.e., the separation of the geminate radical pair formed upon bimolecular excited-state electron transfer, is a key parameter that governs the efficiency of photoredox transformations. For Fe(III) photosensitizers featuring doublet ligand-to-...

Exploration of the Effect of Heatwave Temperatures on Traits of Soil Saprotrophic Fungi

Soil fungi are key drivers of organic matter decomposition and nutrient cycling, yet their physiological responses to realistic soil heatwave temperatures remain poorly understood. Trait-based frameworks offer a promising approach to predict microbial responses to climate change,...

How β -Ionone Ring Dynamics and Conformational Heterogeneity Control Carotenoid Photophysics

Abstract Carotenoid ultrafast photophysics has been studied for decades, but fully resolving their excited-state relaxation mechanisms remains a central, driving pursuit. Here, we investigate mini-β-carotene (m5) as a tractable model system, coupling high time-resolution transien...

Zeolites go to mesopores with 36-ring

Ming-Hui Sun, Zi-Chen Zheng, Bao-Lian Su, Li-Hua Chen; Zeolites go to mesopores with 36-ring, National Science Review, , nwag585, https://doi.org/10.1093/n

GLP-1 Receptor Agonists and Musculoskeletal Outcomes: A Systematic Literature Review and Meta-Analysis

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are increasingly used for the treatment of type 2 diabetes and obesity, but their effects on musculoskeletal health remain completely misunderstood. This systematic review/meta-analysis aims to synthesise clinical data on the...

To teach or not to teach the ‘language of the Other’ in Belgium? A diachronic answer from policy, parliament and practice

Which modern languages do policymakers introduce into school curricula, and with what priority? Drawing on a current issue in Belgian language teaching politics, this study addresses a question that remains underexplored in language policy literature, where the teaching of modern...

StereoBed - salvage stereotactic body radiotherapy of the prostate bed for biochemical recurrence after radical prostatectomy: study protocol for a randomized phase II/III trial

In cases of biochemical recurrence (BCR) after radical prostatectomy, salvage radiotherapy (RT) is a well-established standard-of-care treatment. Stereotactic body radiotherapy (SBRT) may offer a shorter treatment duration and favorable radiobiological characteristics, but eviden...

Teaching off-track: Contributions of interdisciplinarity and sustainability in teacher education. First insights from the AGIR project

Background In the context of growing socio-environmental crises, higher education institutions are increasingly expected to integrate sustainability across curricula through interdisciplinary and interinstitutional approaches. This study presents the initial findings from the pre...

Hydrogen bonding: a double-edged sword in aqueous ammonium-ion batteries

Hydrogen bonding plays a double-edged role in ammonium-ion batteries, facilitating ion transport and flexible storage while inducing instability. Rational regulation of these interactions is crucial for achieving high-performance.

Bio-inspired decision making in robot swarms under biases

Abstract To operate autonomously, minimal robot swarms must make timely and reliable collective decisions despite noisy individual sensing and severe constraints on communication, computation, and memory. Achieving this capability could expand their use in applications such as he...

Deep learning-based prediction of self-energies from ab initio dynamical mean-field theory for real materials with minimal data sets

Abstract Density-functional theory (DFT) has been the workhorse of first-principles calculations for decades, and DFT-derived energies and forces are now widely used to train machine learning models of inter-atomic potentials. However, DFT’s single-particle treatment of exchange-...