BackgroundFederated learning (FL) has the potential to boost deep learning in neuroimaging but is rarely deployed in real-world scenarios, where its true potential lies. We propose FLightcase, a new FL toolbox tailored for brain research, and evaluate it on a real-world FL network to predict the cognitive status in patients with multiple sclerosis (MS) from […]
Through the looking glass: ethical considerations regarding LLM-induced hallucinations to medical questions
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How physicians embrace AI: insights from technology acceptance and trust theories
ObjectiveThis study investigates the factors influencing physicians’ acceptance and adoption of artificial intelligence (AI) technologies in clinical practice, integrating the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), while also examining the mediating role of trust.MethodsA structured survey was conducted among 414 physicians assessing their perceptions of AI technologies using constructs from […]
Correction: Feasibility and reliability of a smartwatch to detect atrial fibrillation after cardiac surgery: a prospective study
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EU Sanctions Companies in China, Iran for Cyberattacks
Already sanctioned in the US and the UK, these rulings prohibit companies and a couple of principals from entering or doing business in the European Union.
Volumetric Ergodic Control
arXiv:2511.11533v2 Announce Type: replace-cross Abstract: Ergodic control synthesizes optimal coverage behaviors over spatial distributions for nonlinear systems. However, existing formulations model the robot as a non-volumetric point, whereas in practice a robot interacts with the environment through its body and sensors with physical volume. In this work, we introduce a new ergodic control formulation that […]
Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
arXiv:2603.17021v1 Announce Type: new Abstract: Socio-environmental planning under deep uncertainty requires researchers to identify and conceptualize problems before exploring policies and deploying plans. In practice and model-based planning approaches, this problem conceptualization process often relies on participatory modeling to translate stakeholders’ natural-language descriptions into a quantitative model, making this process complex and time-consuming. To facilitate […]
Sympatric speciation by symmetry-breaking: The three-clade case
arXiv:2603.17026v1 Announce Type: new Abstract: In this paper we expand the concept of biological speciation by symmetry breaking of Golubitsky and Stewart to the case of three clades in which N populations following the same dynamical laws can separate. The underlying differential equation is based on a fifth order polynomial of a trait variable with […]
Intermitotic timing and motility patterns in the cell division of the diatom Seminavis robusta
arXiv:2603.16984v1 Announce Type: new Abstract: Many diatoms follow a size diminuation – size restoration cycle in their vegetative phase, leading to daughter cells that differ in size. For the diatom Seminavis robusta, we investigated by cell tracking over several generations whether the size difference reflects also in different intermitotic times or in the mobility of […]
Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT
arXiv:2603.16963v1 Announce Type: new Abstract: Routine oncologic computed tomography (CT) presents an ideal opportunity for screening spinal instability, yet prophylactic stabilization windows are frequently missed due to the complex geometric reasoning required by the Spinal Instability Neoplastic Score (SINS). Automating SINS is fundamentally hindered by metastatic osteolysis, which induces topological ambiguity that confounds standard segmentation […]
Non-perturbative Bacterial Identification Directly from Solid Agar Plates Using Raman
arXiv:2603.16957v1 Announce Type: new Abstract: Raman spectroscopy is a promising tool for microbial identification, yet its implementation in microbiology and clinical workflow is still restricted due to the accompanying additional preparation required to focus on microbial signals. Here, we demonstrate Raman-based bacterial identification directly from unopened, inverted agar plates, the same conditions used during incubation. […]
Probing Association Biases in LLM Moderation Over-Sensitivity
arXiv:2505.23914v2 Announce Type: replace-cross Abstract: Large Language Models are widely used for content moderation but often present certain over-sensitivity, leading to misclassification of benign content and rejecting safe user commands. While previous research attributes this issue primarily to the presence of explicit offensive triggers, we statistically reveal a deeper connection beyond token level: When behaving […]