Technical University of Munich

The Riemannian geometry of user learning in MI-BCI: A Cybathlon longitudinal study

Motor imagery (MI) brain-computer interfaces (BCIs) are promising assistive technologies, however, their development is hindered by low electroencephalography (EEG) signal quality and an incomplete understanding of neural modulation during training. Traditional performance-based...

Serving Epistemic Justice Through Critical Writing Pedagogies in Science and Technology Studies (STS)

Writing in Science and Technology Studies (STS) reproduces STS knowledge, yet ways of writing remain invisible and normative within a discipline committed to epistemological openness. Ways of knowing and languaging are inextricably linked: written knowledge plays a central role i...

Divergent c-MYC Expression Patterns in NET and NEC: Insights from a Multicentre Cohort of 1380 Neuroendocrine Neoplasms

Abstract Neuroendocrine neoplasms (NEN) comprise well-differentiated neuroendocrine tumours (NET) and neuroendocrine carcinomas (NEC), whose distinction is clinically critical. Although c-MYC alterations have been implicated in NEC pathogenesis, c-MYC expression across NEC subtyp...

International consensus guidance for general population screening for islet autoantibodies to diagnose early-stage type 1 diabetes: a nominal group technique process

Type 1 diabetes is an autoimmune disease that targets and destroys insulin-producing beta cells in the pancreatic islets. The incidence of type 1 diabetes is rising globally. At the clinical diagnosis of type 1 diabetes, between 20% and 67% of children and adolescents present wit...

Assessment of emphysema with simulated low-dose dark-field radiography

Abstract Objective Dark-field radiography allows the visualization of lung tissue changes associated with pulmonary emphysema. Simulations were used to investigate the impact of radiation dose reduction on the diagnostic accuracy of emphysema detection. Materials and methods Dark...

An updated estimate of the proportion of neurocysticercosis among people with epileptic seizures: a systematic review and Bayesian meta-analysis

BACKGROUND: Neurocysticercosis (NCC) is an infection of the central nervous system caused by the larval stage of Taenia solium. This systematic review (PROSPERO identifier: CRD42021266596) aimed to estimate the pooled proportion of NCC among people with epileptic seizures (PWES)...

A modular Digital Twin architecture for the data-driven reactive planning of disassembly systems

Disassembly is key to circular production, enabling end-of-life products to be recovered through reuse, remanufacturing, or recycling. However, disassembly is characterized by high uncertainty about product condition and process feasibility, which requires dynamic, product-specif...

A Scale-Adaptive Framework for Building Generalization via Instruction-Guided Diffusion and Geometry-Aware Vectorization

Abstract Map generalization aims to adapt detailed geospatial data to visualization at different map scales while preserving legibility and geometric consistency. Recent learning-based approaches have shown promising results, but they typically require training separate models fo...

Transforming GP practices into multiprofessional primary care centers: The role of nursing professionals (PRIMA) – study protocol for a multicenter non-randomized, controlled, parallel-group intervention study

Background Germany faces increasing challenges in primary care due to demographic change, workforce shortages, and the growing prevalence of chronic conditions. Integrating nursing professionals into primary care teams may improve continuity, comprehensiveness, and efficiency of...

Process evaluation of a nurse-led transitional care model (Cardiolotse) within a randomized controlled trial aiming to improve care coordination for patients with cardiovascular diseases in Germany

Abstract Background Patients with higher age suffering from cardiovascular disease discharged from hospital are at greater risk of readmission within 30 days. We evaluated an innovative care program providing post-discharge support and helping patients to navigate through the hea...

Quantum circuit-based learning models: bridging quantum computing and machine learning

Abstract Machine Learning (ML) has been widely applied across numerous domains due to its ability to automatically identify informative patterns from data for various tasks. The availability of large-scale data and advanced computational power enables the development of sophistic...

MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography

Abstract Cryo-electron tomography provides unique insights into macromolecular complexes in their native environments, yet membrane analysis remains a major bottleneck due to low signal-to-noise ratios, missing wedge artifacts and the complexity of membrane-associated particles....

Tuning the Magnetic Properties of Kitaev Materials via the Antiferromagnetic Proximity Effect: Novel Phases and Application to an α -RuCl3/MnPS3 Bilayer

Abstract In recent years, the increasing level of control over van der Waals (vdW) heterostructures has opened new routes to tune the properties of quantum materials. Motivated by these developments, we examine the potential consequences of interfacing a Kitaev honeycomb magnet,...

A simple MRI-derived correction substantially reduces bias in caliper-based tumor volume estimation in subcutaneous tumor models

Accurate longitudinal quantification of tumor burden is critical in preclinical oncology studies. Calipers remain the standard tool, being fast, inexpensive and anesthesia-free, yet the conventional caliper equation systematically overestimates subcutaneous tumor volume, because...

Climate-responsive robotic brickwork for monolithic building envelopes

Abstract This research aims to reconcile geometric complexity and environmental performance in robotic bricklaying by proposing an integrated design-to-fabrication methodology for site-specific, monolithic building envelopes. As a sustainable alternative to contemporary multi-lay...

From multi-source data uncertainty to interval-based robust calibration: A transferable solution for hydrological modeling in data-scarce alpine basins

Study Region The European Alps feature steep elevation gradients, snow-influenced hydrology, and strong spatial variability in water and energy fluxes. Hydrological modeling is limited by sparse high-elevation observations, while growing multi-source data availability introduces...

Ancient DNA reveals early use of melons in China’s Song dynasty

Abstract Melon ( Cucumis melo L.) domestication is thought to have occurred independently once in Northeast Africa and twice in India, but archaeobotanical seed remains point to a possible additional domestication in China. Because Cucumis seeds are difficult to diagnose morpholo...

Current and Future Directions for Responsible Quantum Technologies: A ResQT Community Perspective

Abstract Quantum technologies (QT) are advancing rapidly, promising advancements across a wide spectrum of applications but also raising significant ethical, societal, and geopolitical impacts, including dual-use capabilities, varying levels of access, and impending quantum divid...

InventOR: A Prompt-Configured, No-Fine-Tuning LLM Workflow for Material-Level Inventory Control

We present InventOR, a prompt-configured large-language-model (LLM) workflow that generates material-level (r, Q) inventory policies from cutoff-bounded historical CSVs and inline parameter blocks through an enterprise LLM application, without project-specific model training or f...

Mapping genetic modifiers of epimutation rates identifies VIM2/4 as dosage-sensitive negative regulators of CG methylation maintenance

Abstract Spontaneous epimutations are stochastic gains and losses of cytosine methylation that arise from imperfect maintenance across cell divisions. At CG sites, such epimutations can be inherited across generations in plants and constitute a major source of CG methylation (mCG...