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In an interconnected world, climate change impacts can cascade across sectors and regions, creating systemic risks. Here we analyse cascading climate change impacts on the EU, originating from outside the region, and identify critical intervention points for adaptation. Using network analysis, we integrate stakeholder-co-produced impact chains with quantitative data for 102 countries across foreig
The AU Microscopii planetary system is only 24 Myr old, and its geometry may provide clues about the early dynamical history of planetary systems. Here, we present the first measurement of the Rossiter–McLaughlin effect for the warm sub-Neptune AU Mic c, using two transits observed simultaneously with the European Southern Observatory’s (ESO’s) Very Large Telescope (VLT)/Echelle SPectrograph for R
Objective: The aim of this study was to explore experiences and challenges in handling feedback and criticism among early career surgeons. Design: This study is part of a prospective, exploratory, longitudinal study evaluating surgical residents throughout residency. Semi-structured interviews were conducted with medical doctors applying to a locum or residency position in a surgical specialty. An
The modelling of filtered chemical source terms remains a fundamental challenges for large eddy simulation (LES) of reacting flows, such as combustion. This study investigates various scale similarity models for predicting filtered reaction rates. The theoretical foundation of scale similarity models is reviewed, and several extensions and generalisations are proposed. These include the distinctio
This letter addresses loss of packets in a wireless fronthaul link being interpreted as channel errors for the service link. This may occur if, for instance, User Equipment (UE) is served by a radio unit in an Uncrewed Aerial Vehicle (UAV) via a wireless fronthaul link to a baseband unit (BU) on the ground. The fronthaul packet loss leads to a mismatch between the real and estimated channel state,
The rapid growth of smart logistics, driven by IoT devices and data-intensive applications, necessitates secure, scalable, and efficient computing frameworks. As the edge-fog-cloud (EFC) paradigm supports real-time data processing, it faces significant security threats and attacks, including privacy risks, data breaches, and unauthorized access. To address these security threats and attacks, block
Improving lignocellulosic biorefineries is a crucial step in transitioning from a fossil-based economy to a bio-based one. These biorefineries convert lignocellulosic biomass feedstocks into value-added products such as biofuels, biopower, biochemicals, and biomaterials, while also recovering valuable components from underutilized process streams. Pulp and paper mills are lignocellulosic biorefine
This study explores the potential for stormwater reuse to reduce potable water consumption for toilet flushing and laundry. A pilot project utilizing silicon carbide (SiC) membranes in Lund achieved significant reductions in contaminants, with permeate meeting EU standards for non-potable applications.A permanent (SiC) membrane installation in Malmö demonstrated a 38% reduction in potable water us
Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for clinical predictions from longitudinal medical data, such as electronic health records (EHR), remains challenging due to limited labeled data and the complex, event-driven nature of medical sequences. Whi
pyPFC is a comprehensive open-source Python package for setting up, running and analyzing 3D phase field crystal (PFC) simulations. The object-oriented code is designed to take full advantage of GPU acceleration, but can also be ran on purely CPU-based systems. The overarching ambition with the pyPFC package is to provide an easily accessible and computationally efficient PFC simulation framework,
The relevance of institutions for regional development has been well established in economic geography. In this context, local and regional governments play a central role, particularly through place-based and place-sensitive strategies. However, systematic and scalable insights into their priorities and strategies remain limited due to data availability. This paper develops a methodological appro
The advent of AlphaFold and consumer large language models have elicited unprecedented development of artificial intelligence (AI). AI has had substantial impact in every area of research, including in molecular biology. This is principally in thanks to contributions to the Protein Data Bank and various genome sequence databases, providing an astronomical amount of data for model training. These d
We study Frege proofs using depth-d Boolean formulas for the Tseitin contradiction on n \times n grids. We prove that if each line in the proof is of size M, then the number of lines is exponential in n/(log M)O(d). This strengthens a recent result of Pitassi, Ramakrishman, and Tan [2022 IEEE 62nd Annual Symposium on Foundations of Computer Science, 2022, pp. 445-456]. The key technical step is a
Generating narrow energy spread beams from laser wakefield accelerators with minimal dark current is important for many applications. We present an automated experiment using Bayesian optimization to control the laser spectral phase and focal position, achieving significant enhancement of the beam quality. Starting from a broadband spectrum, the optimized configuration achieved low-energy spread w
High-spin states have been observed in the odd-odd isotope 120Cs in 32S-induced reactions. The previously known band is extended to higher spin and several new bands are identified. Band-head configurations have been inferred by comparing the band properties with known bands in the odd nuclei 121Cs and 121Ba. A remarkable signature inversion is observed in the πh 11 2⊗νh 11 2.
Efficient management of on-demand delivery systems is essential for modern urban logistics, especially in densely populated cities with complex spatial layouts. This study introduces a novel, computer-supported cooperative framework that utilizes Infomap-based hierarchical community detection to analyze spatial multilevel clustering patterns. The experiment was conducted to large scale on-demand d
Inferring the causal structure underlying stochastic dynamical systems from observational data holds great promise in domains ranging from science and health to finance. Such processes can often be accurately modeled via stochastic differential equations (SDEs), which naturally imply causal relationships via 'which variables enter the differential of which other variables'. In this paper, we devel
Alzheimer’s disease (AD) is the most common neurodegenerative disorder, affecting millions worldwide. The clinical presentation of AD is heterogenous and often complicated by the presence of multiple co-pathologies, which can overlap with features of other neurodegenerative disorders, underscoring the need for tools to aid accurate and timely diagnosis. Biomarkers for AD span multiple modalities a
Academic skills such as reading, writing, critical thinking and information literacy are foundational to university-level learning. However, although students often have a certain level of academic literacy on arrival, their skills do not necessarily match the context-specific requirements of higher education and often need to be explicitly taught. In contrast to
