1. Spatio-temporal evolution of organo-mineral associations during fluvial transport across the land- ocean aquatic continuum 

   Gallarotti, Nora (2025)

   Rivers are important transport agents, transferring organic carbon (OC) from terrestrial carbon pools to ocean sediments, which act as an important OC sink. Research has shown that OC-mineral associations exert a key influence on OC dynamics by influencing the stability and thus the timescales of carbon storage and transport within drainage basins. Although evidence is mounting that these interactions develop in soils, observations of how ...

   Doctoral Thesis

2. The effect of lining density on the seismic response of ground penetrating shield tunnels: Shaking table testing and simplified semi-analytical solution 

   Wang Q.; Yuan Y.; Liu T.; et al. (2025)

   Tunnelling and Underground Space Technology

   The Ground Penetrating Shield Tunnel (GPST) method optimizes construction in soft ground by eliminating deep vertical shafts, reducing construction time, and minimizing the environmental impact. The present study examines the effect of lining density on the seismic response of the tunnel. Large scale shaking table tests are conducted, comparing the response of two tunnel models with different lining densities. The segmental lining of the ...

   Journal Article

3. Potential effectiveness of extended producer responsibility: An ex-ante policy impact analysis for plastic packaging waste in Belgium, France, and Germany 

   Pruess J.T.; Garrett R.D. (2025)

   Resources, Conservation and Recycling

   Extended producer responsibility (EPR) is a key policy principle to mitigate adverse effects of plastic pollution, holding producers accountable for their products' end-of-life management. Yet, assessment of EPR effectiveness is limited by data quality and causal research design for post-hoc analysis, especially with regard to analyzing country contexts. To grasp EPR's true impact, it is crucial to consider its broader regulatory, ...

   Journal Article

4. Assessing the performance and explainability of an avalanche danger forecast model 

   Perez-Guillen, Cristina; Techel, Frank; Volpi, Michele; et al. (2025)

   Natural Hazards and Earth System Sciences

   During winter, public avalanche forecasts provide crucial information for professional decision-makers as well as recreational backcountry users. While avalanche forecasting has traditionally relied exclusively on human expertise, avalanche warning services increasingly integrate data-driven models to support the forecasting process. This study assesses a random-forest classifier trained with weather data and physical snow-cover simulations ...

   Journal Article

5. Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph 

   Vashurin, Roman; Fadeeva, Ekaterina; Vazhentsev, Artem; et al. (2025)

   TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS

   The rapid proliferation of large language models (LLMs) has stimulated researchers to seek effective and efficient approaches to deal with LLM hallucinations and low-quality outputs. Uncertainty quantification (UQ) is a key element of machine learning applications in dealing with such challenges. However, research to date on UQ for LLMs has been fragmented in terms of techniques and evaluation methodologies. In this work, we address this ...

   Journal Article

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