Publicaties
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Making sense of variation in sclerochronological stable isotope profiles of mollusks and fish otoliths from the early Eocene southern North Sea Basin Vrije Universiteit Brussel KU Leuven
Stable isotope sclerochemistry of biogenic carbonate is frequently used for the reconstruction of paleotemperature and seasonality. Yet, few studies have compared intra-and inter-taxon isotope variability and variation within a single depositional environment. We measured seasonal changes in δ18O and δ13C compositions in multiple specimens of two carditid bivalve species, a turritelline gastropod species, and two species of otoliths from ...
Quantitative Proteomic Analysis of Brassica Napus Reveals Intersections Between Nutrient Deficiency Responses KU Leuven
Macronutrients such as nitrogen (N), phosphorus (P), potassium (K) and sulphur (S) are critical for plant growth and development. Field-grown canola (Brassica napus L.) is supplemented with fertilizers to maximize plant productivity, while deficiency in these nutrients can cause significant yield loss. A holistic understanding of the interplay between these nutrient deficiency responses in a single study and canola cultivar is thus far lacking, ...
Lifetime powertrain optimization of a fuel cell electric truck including components’ ageing, cooling requirements and tractor packaging constraints Vrije Universiteit Brussel
The current work compares numerical design optimization of a long haul fuel cell electric truck for minimizing lifetime total costs, carbon footprint and H2 consumption. Lifetime powertrain optimization considers the impact of fuel cell and battery ageing induced replacements by employing a nested co-design algorithm. The outer design layer explores possible fuel cell system, eDrive and battery dimensions with suitable power change rate limit ...
Surface-enhanced CO2 capture in ionic liquid-silica nanocomposites via sol-gel synthesis in the low partial pressure range KU Leuven Vrije Universiteit Brussel
Ionic liquid-containing silica nanocomposites enable the capture of carbon dioxide from gas mixtures containing nitrogen, oxygen, and methane. Synthesis methods explored for such nanocomposites include impregnating porous silica and one-pot synthesis via a sol-gel process. This research investigates a non-hydrolytic sol-gel route for nanocomposite materials enabling CO2 capture at low partial pressures (0.1–0.4 bar). The tetraethyl orthosilicate ...
Maximizing methane production in adsorptive nitrogen removal from natural gas Vrije Universiteit Brussel
Ba-ETS-4 is a promising adsorbent for nitrogen removal from low-grade natural gas. However, the Ba-ETS-4 adsorption characteristics, i.e., both adsorption kinetics and equilibrium capacity, change by dehydration temperature owing to structural shrinkage and pore contraction which finally impact the separation performance of the adsorption bed. In this paper, experimental breakthrough data are provided for N2/CH4 separation at various Ba-ETS-4 ...
Graph-GIC: A Smart and Parallelized Geomagnetically Induced Current Modelling Algorithm Based on Graph Theory for Space Weather Applications KU Leuven
Geomagnetically Induced Current (GIC) refers to the electromagnetic response of the Earth and its conductive modern infrastructures to space weather and would pose a significant threat to high-voltage power grids designed for the alternative current operation. To assess the impact of space weather on the power grid, one needs to calculate the GIC on a national or continental scale. In this study, we developed a smart and parallelized GIC ...
Response strength and latencies of auditory steady-state responses from age six. KU Leuven
OBJECTIVE: Auditory-steady state responses (ASSRs) to stimuli modulated by different frequencies may differ between children and adults. These differences in response characteristics or latency may reflect developmental changes. This study investigates age-related differences in response strength, latencies, and hemispheric laterality indices of ASSRs for different modulation frequencies. DESIGN: Multi-channel EEG was used to measure ASSRs to ...
Longitudinal interpretability of deep learning based breast cancer risk prediction KU Leuven
Objective.Deep-learning-based models have achieved state-of-the-art breast cancer risk (BCR) prediction performance. However, these models are highly complex, and the underlying mechanisms of BCR prediction are not fully understood. Key questions include whether these models can detect breast morphologic changes that lead to cancer. These findings would boost confidence in utilizing BCR models in practice and provide clinicians with new ...