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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

Sparse tensor computations suffer from irregular memory access patterns that degrade cache performance. While software prefetching can mitigate this, existing compiler approaches lack the semantic insight needed for effective optimization. We present ASaP, an automatic software prefetching framework integrated within MLIR’s sparse tensor dialect. By leveraging semantic information-tensor formats a

The downstream process of monoclonal antibodies (mAbs) is expensive and significantly contributes to overall manufacturing costs. One primary reason is the extensive consumption of water and chemicals required for preparing large volumes of various buffers, essential for multiple chromatography and filtration steps. Reducing the water consumption in biopharmaceutical processes is critical to drive

Background and purpose: Neuroblastoma is the most common extracranial solid tumour in children. Radiotherapy is commonly part of the multimodal treatment for high-risk patients. The aim of this study is to analyse doses to organs at risk (OAR) in comparative proton and photon treatment plans for children treated for neuroblastoma and report side effects. Patient/material and methods: All children