Technische Universität Dresden

Managing Vector Data for Retrieval Augmented Generation@Dagstuhl Seminar Summary

This report summarizes discussions that took place in the context of a Dagstuhl seminar1 to explore the emerging paradigm of AI-native databases designed to support agentic workflows and Retrieval-Augmented Generation (RAG) by integrating Large Language Models (LLMs) with robust...

Decoupling T cell cytotoxicity: a CCL21+ICAM1-based synthetic immune niche enhances tumor elimination by accelerating lytic hit delivery

Preserving T cell cytotoxic function during ex vivo expansion remains a major challenge for adoptive cancer immunotherapy. A synthetic immune niche (SIN) composed of immobilized CCL21 and ICAM1 was shown to improve T cell expansion while preserving cytotoxicity; however, it remai...

Optimized packing soft 3D polyhedra

Abstract A novel problem of packing soft convex three‐dimensional polyhedral objects in an optimized convex container is introduced. Soft objects can change their shapes within certain limits to better fit into the container, while preserving their volumes. Adjusted non‐overlappi...

Time-lapse RESOLFT nanoscopy empowered by deep learning

Abstract Capturing the dynamic interplay of proteins and organelles within cells requires microscopy methods with high spatial and temporal resolution. Reversible Saturable OpticaL Fluorescent Transition (RESOLFT) demonstrated great potential for live cell nanoscopy by using patt...

Multiple discrimination at work and depressive symptoms in young adults

BACKGROUND: We aimed to estimate the implications of cumulative exposure to discrimination at work for mental health among young adults. Our specific objective was to investigate if experiencing multiple types of discrimination at work is associated with depressive symptoms. METH...

A Multidomain Feature Fusion–Based GRU-Transformer Framework for Damage Identification of Truss Bridges

Abstract In complex operational and environmental conditions, structural vibration signals are typically characterized by inherent non-stationarity and nonlinearity. Traditional convolutional neural networks (CNNs) with single-feature extraction struggle to comprehensively captur...

Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga

Abstract Martensitic transformations drive many emerging applications, ranging from actuation and mechanocaloric refrigeration to thermoelastic energy harvesting. All these applications benefit from faster transformations. However, systematic investigations of the fast dynamics a...

FIND: a phase-II study to evaluate the efficacy and safety of erdafitinib in FGFR-altered NSCLC

Abstract Introduction: FGFR alterations occur in approximately 2% of non-small cell lung cancer (NSCLC) patients, predominantly in squamous cell histology (sqNSCLC). We evaluated the efficacy of the selective FGFR1-4 inhibitor erdafitinib in patients with FGFR-altered NSCLC. Meth...

Optically Tuneable Memristors Based on Au NP–PDR1A Nanocomposites Probed by Impedance Spectroscopy

ABSTRACT Optical memristors are promising building blocks for neuromorphic vision systems because they can emulate retina‐like adaptive signal processing. However, the development of practical devices remains limited by an incomplete understanding of the coupled electrical–optica...

Intraoperative ventilation settings in Germany: an observational multicentre cross-sectional study

Intraoperative lung protective ventilation and, in inhalational anesthesia, minimal fresh gas flow (FGF) are recommended. It remains unclear how these recommendations are transferred to clinical routine. We aimed to assess corresponding anesthesia practices in Germany and raise a...

Mastodon: the command center for large-scale lineage-tracing microscopy datasets

Understanding development in living organisms requires following the divisions, movements, and fates of cells. While advances in microscopy have enabled whole-embryo imaging at the cellular level, extracting and analyzing cell lineages from these massive datasets remains a signif...

Dislocation dynamics on deformable surfaces

Abstract We develop a fully coupled theoretical description of dislocation dynamics on deformable crystalline surfaces, using continuum modelling and the amplitude-phase-field crystal (APFC) framework extended to curved geometries. We derive a general kinematic expression for dis...

Durable treatment response to Trastuzumab deruxtecan in two patients with recurrent grade III anaplastic ependymoma

Abstract Background Anaplastic ependymoma is a rare and aggressive central nervous system malignancy for which effective systemic treatment options are limited. Trastuzumab deruxtecan (T-DXd), an antibody–drug conjugate targeting human epidermal growth factor receptor 2 (HER2), h...

Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder

Background The predictive power of polygenic scores (PGSs) for lithium treatment response in bipolar disorder remains limited. Aims To enhance the prediction of lithium responsiveness by developing a multi-trait PGS (mt-PGS) combining genetic information from multiple phenotypes...

Optimizing Proof-Search via Linearization for Gödel-Löb Logic with Tree-Hypersequents

We answer a question posed by Poggiolesi concerning a syntactic decidability proof for GL in the tree-hypersequent system CSGL, and resolve a challenge identified by Maggesi and Perini Brogi, who sought a PSPACE proof-search algorithm for GL in expressive sequent-based formalisms...

Non-Wellfounded and Cyclic Proofs for LTL: A Syntactic Correspondence with Linear Nested Sequents

We introduce the formalism of non-wellfounded and cyclic linear nested sequent calculi, developing concrete systems for linear temporal logic (LTL). The paper addresses two central problems, which we call "cycle recognition" and "unraveling." Cycle recognition concerns identifyin...

Fair distributed machine learning with imbalanced data as a Stackelberg evolutionary game

Abstract Decentralised machine learning systems trained on heterogeneous and imbalanced data face a fundamental tension between predictive performance and equitable contribution across participating nodes. Here, we introduce two contribution-weighting mechanisms inspired by the p...

How new business models shape innovation spillovers: insights from the new space economy

Abstract Those seeking to drum up public support for the space industry frequently cite its potential for generating valuable spillovers to other industries. However, existing research on spillover effects overlooks differences in business models among commercial actors, instead...

Conducting Flexible Single Crystalline Silver Nanocluster Chain

ABSTRACT Atomically precise silver nanoclusters (AgNCs) represent an emerging class of functional materials for constructing periodically extended architectures with tunable properties. In particular, the 1D architecture of AgNCs is highly attractive owing to their ability to pro...

Predicting Chemical Stressor Effects on Conjugative Plasmid Transfer Rates Using Machine Learning

Abstract Chemical stressors in environmental and clinical settings can alter conjugative plasmid transfer, which is a key process driving antibiotic resistance dissemination. However, predicting these effects across chemically diverse compounds is challenging. Here, we compiled a...