Technical University of Munich

On the blind spot: ethical conflicts of health care professionals in addressing opioid diversion - a template study protocol for multinational qualitative research

Abstract Background Opioid diversion—the unauthorized redirection of prescription opioids—is a growing global concern with significant public health implications. While diversion can occur at many points in the supply chain, instances involving healthcare professionals (HCPs) are...

The AWAKEN wind farm benchmark – Part 2: Modeling results

Abstract. Accurately modeling wind farm performance in complex atmospheric flows remains a challenge. This paper presents the modeling results of the American WAKE experimeNt (AWAKEN) wind farm benchmark, a collaborative effort involving 16 research groups from academia and indus...

On the effects of bat protection strategies on energy production and structural loads of wind farms

Abstract. As wind energy deployment expands, bat protection curtailment is increasingly required for ecological and regulatory reasons. Operators typically implement static, also called 'blanket', schedules based on environmental thresholds for predefined periods, while dynamic a...

Toward Continually Growing World Models: An OaK-Inspired Architecture for Learned Abstraction and Planning

Learned world models increasingly empower autonomous agents to predict transitions, imagine rollouts, and plan behaviors in complex environments. However,conventional continual world modeling paradigms predominantly formulate lifelong adaptation along a single parametric axis: up...

Toward Continually Growing World Models: An OaK-Inspired Architecture for Learned Abstraction and Planning

Learned world models increasingly empower autonomous agents to predict transitions, imagine rollouts, and plan behaviors in complex environments. However,conventional continual world modeling paradigms predominantly formulate lifelong adaptation along a single parametric axis: up...

Proving Total Correctness of Top-Down Solvers with Widening and Narrowing

Abstract The top-down solver TD is a generic fixpoint algorithm that can be used to compute partial post-solutions of equation systems for abstract interpretation. We consider two extensions of the TD to deal with infinite strictly ascending chains. For the TD extended with warro...

Artificial intelligence in mathematics education: a two-dimensional conceptual framework and meta-review

Abstract Artificial Intelligence (AI) is transforming mathematics education just as it is reshaping many other domains of modern life, creating new opportunities that fundamentally change the way students and teachers work. AI has become an increasingly prominent topic in mathema...

Rethinking Database Architectures for Memory-Centric Computing

Abstract Datacenter architectures have steadily moved toward resource disaggregation, storage first, and now memory itself. This shift is arriving through several competing fabrics (RDMA, CXL pooling) that show no sign of converging. Their shared features lead to treating them as...

Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering

Spatial omics technologies have revolutionized the study of tissue architecture and cellular heterogeneity by integrating molecular profiles with spatial localization. In spatially resolved transcriptomics, delineating higher-order anatomical structures is critical for understand...

Determination of critical nitrogen loss zones and high-resolution nitrate leaching modeling in drinking water protection areas with satellite-based algorithms

Abstract Purpose This study developed and validated an integrated framework to identify critical nitrate loss zones at sub-field scale in a drinking water protection area. The key question was whether satellite-based estimation of grain N uptake, combined with site-specific N bal...

Taming the tilt: A unified pilot control concept for transformational eVTOL aircraft

Abstract Transformational electric vertical take-off and landing (eVTOL) vehicles have gained significant attention over the past decade due to their efficient wing-borne cruise capabilities and reduced reliance on ground-based infrastructure. However, control system design for t...

Gaussian Process Modeling with Genotype $$\times $$ Environment Kernels for Wheat Performance Prediction

Abstract Optimizing wheat variety selection for high performance in different environmental conditions is critical for reliable food production and stable incomes for growers. We employ a statistical machine learning framework utilizing Gaussian process (GP) models to capture the...

Integrating deep learning and pangenomics to recover missing heritability from wild structural variations

Crop domestication has induced a severe genetic bottleneck that reduces the adaptive diversity present in modern cultivars. Standard intra-population genomic prediction models reliant on linear reference genomes and SNPs fail to capture the full spectrum of phenotypic variance hi...

Latent paths in mode choice models: incorporating street-level environment features for active travel policy

There is growing empirical evidence that walking and cycling are influenced by street-level environment features such as greenness and traffic stress. To assess active travel policy, these features are increasingly incorporated into mode choice models through predictors that aggr...

Photoreceptor-specific scene statistics reveal melanopic structure in natural environments.

), revealing photoreceptor-resolved regularities in natural melanopic input.

Microvascular remodeling and endothelial dysfunction across the post-COVID-19 spectrum: a prospective observational case-control study

<title>Abstract</title> Background Post-viral diseases, including post-COVID-19 syndrome (PCS) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), cause substantial long-term morbidity. Persistent cardiovascular risk after acute infection highlights the need for acce...

Dispatch or Hold? An Inverse Optimization and Reinforcement Learning Approach for Multiobjective On-Demand Delivery

In large-scale on-demand food delivery systems, dynamic order dispatching needs to balance immediate dispatch and order holding amid competing objectives, including delivery efficiency, service timeliness, and courier utilization. Holding certain orders for future consolidation m...

Aerodynamic testing of pulsed-jet actuation on a short-inlet UHBR engine nacelle

Abstract Innovative short-inlet nacelle designs and disruptive technologies are essential for minimizing the drag and weight penalties of high-bypass-ratio turbofan engines. Active flow control (AFC) can mitigate inlet separation under off-design conditions by using local air inj...

BOS-TMC Data Set:DFT Properties of 159k ExperimentallyCharacterized Transition Metal Complexes Spanning Multiple Chargeand Spin States

Abstract We present the Boston Open-Shell Transition Metal Complex (BOS-TMC) data set, a set of density functional theory (DFT) properties for 159k experimentally characterized mononuclear transition metal complexes (TMCs) in multiple spin states with a range of formal charges de...

Overcoming Uncontrolled Nucleation and Cesium Salt Solubility Limits in Scalable Perovskite Deposition through All-Inorganic Perovskite Nanocrystal Seeding

Abstract Optoelectronic performance, defect density, and thin-film morphology of solution-processable lead halide perovskites are highly dependent on nucleation and growth conditions during processing. Additionally, Cs+ incorporation into the lattice can have benign effects on th...