Der Beitrag untersucht die Nutzung von KI-Anwendungen in der naturwissenschaftlichen Wissensarbeit. Anhand von ethnografischen Beobachtungen in drei universitären Forschungsprojekten wird die Einführung von KI-Anwendungen als ‚Automatisierung von unten‘, also durch die Beschäftigten selbst, analysiert.…
To address the challenges of physical interpretability and scalability in artificial neural networks, physical reservoir computing (PRC) has emerged as a promising research direction in contemporary machine learning. PRC tackles these challenges by leveraging simple and efficient physical systems to…
Background: Cancer patients increasingly use YouTube for nutritional guidance, yet information quality varies substantially. Existing text-based assessment tools fail to capture audiovisual content characteristics. This study aimed to (1) develop a video-specific assessment tool, (2) evaluate German-language…
Artificial intelligence (AI) writing assistants powered by large language models (LLMs) are increasingly used to make autocomplete suggestions to people as they write text. Can these AI writing assistants affect people’s attitudes in this process? In two large-scale preregistered experiments (N = 2582),…
Washington, DC: American Association for the Advancement of Science (AAAS), 2026-03-11
This study presents a valuable examination of two measurements of physical activity(self-report and objective) in relation to widely studied structural MRI measures of thebrain (hippocampal volume and BrainAGE) and cognitive function (Trail Making Test).Cross-sectional and longitudinal data were analyzed…
Abstract Optimizing morphological and functional muscle parameters is of crucial importance in sports and rehabilitation. While resistance training is the most common intervention when improving muscle strength as well as general motor function such as balance, this option is not always applicable, calling…
London: Macmillan Publishers Limited, part of Springer Nature, 2026-03-09
Abstract The functional complexity of G protein-coupled receptors (GPCRs) arises from their structural dynamics, spanning timescales from nanoseconds to minutes. Single-molecule Förster Resonance Energy Transfer (smFRET) enables direct observation of these dynamics in individual receptors, either freely…
Abstract Introduction For cementless implantation of hip stems, it is very important that the original stem fits exactly into the femoral prosthesis bed previously shaped using a stem rasp. If the geometry of the stem rasp does not match the prosthesis geometry, this can result in either overstuffing…
Introduction: LC-MS system suitability test (SST) is crucial for reliable data acquisition especially in untargeted metabolomics. Objectives: Identification of best reference materials (RMs) to improve best quality assurance (QA) and quality control (QC) practices. Methods: Investigations were performed…
Abstract Treatment options and therefore general health in children with congenital heart defects (CHD) improved tremendously over the last decades. Growth is an important marker to evaluate healthy development, especially in patients with chronic diseases. This study aimed to evaluate growth in children…
DNA (deoxyribonucleic acid ) methylation is a key epigenetic mechanism that regulates gene expression and developmental transitions in eukaryotes. Interestingly, algal growth- and morphogenesis-promoting bacteria can reduce global DNA methylation levels in the green seaweed Ulva (Chlorophyta), highlighting…
Climate change challenges forestry in temperate regions, with drought and insect infestations affecting major tree species. Introducing drought-tolerant non-native species into managed forests is a widely discussed adaptive strategy. However, the impact of such interventions on forest nitrogen (N) cycling…
Anorexia nervosa (AN) has extensive genetic correlations with other psychiatric disorders, and genetic risk for different psychiatric disorders was associated with distinct clinical courses in AN. Uncovering associations between transdiagnostic psychiatric genetic liability and AN outcomes can facilitate…
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application…
This perspective proposes a neuropsychiatric model of psychological and psychiatric interventions by reframing treatment as a control engineering problem grounded in dynamical systems theory and artificial intelligence (AI). We argue that psychopathology arises from distortions in the geometry of underlying…
Precision oncology has been evolving rapidly, with increasing emphasis on early detection and personalized diagnostic approaches that translate into tailored treatment algorithms. The integration of molecular markers, quantitative imaging approaches and artificial intelligence (AI) in the diagnostic…
Objective, scalable biomarkers are needed for continuous monitoring of major depressive disorder. Smartphone-collected speech is promising, yet clinically useful signals remain elusive. We analyzed 3151 weekly voice diaries from 284 German-speaking adults (128 MDD, 156 controls) to predict Beck Depression…
Erschienen: Nature Publishing Group UK, 2026-02-28
Background/Objectives : The increasing use of radiopharmaceuticals in clinical practice has raised concerns regarding potential radiation exposure for healthcare personnel handling biological samples from treated patients. The objective of this study was to assess the radioactivity levels in clinically…
Backgrounds : Single-arm studies evaluating reduced intensity (de-escalated) therapy for low-risk Human Papillomavirus-related oropharyngeal cancer (HPV+OPC) patients demonstrated high cure rates and reduced toxicity compared with historical results of standard of care (SOC). However, randomized studies…