Technical University of Munich

Change in COVID-19 outcomes in lymphoma patients across pandemic waves: results of the COVID-19-lymphoma registry of the Bavarian Cancer Research Center (BZKF) 2020–2022

Abstract Patients with malignant lymphomas are at increased risk for severe COVID-19. In the general population, outcomes of COVID-19 have improved dramatically over time due to increasing immunity through vaccination or infection and due to improved clinical care. It is unclear...

Tricuspid-Valve Intervention in Heart Failure

BackgroundThe effect of transcatheter tricuspid-valve repair on clinical outcomes, including death and hospitalization for heart failure, in patients with severe tricuspid regurgitation remains uncertain. MethodsWe randomly assigned patients with symptomatic severe tricuspid regu...

Hydro‐ and Lipophilicity of Molecular‐Size‐Controlled Hydrogel Drug Carriers

ABSTRACT Nano‐sized hydrogel drug carriers with tailored hydro‐ and lipophilicity are designed and their encapsulation and structure‐forming capabilities investigated in real‐time. These nano‐carriers are built from cellulose and peptide hydrogels in tandem with a nano‐stacked in...

Charting Endocrine Progenitors Across Species and Organs

ABSTRACT Hormone‐producing cells in the pancreas and intestine regulate whole‐body metabolism and are dysregulated in obesity and diabetes. A deeper understanding of endocrine lineage formation (endocrinogenesis) in these organs is essential to elucidate the healthy state and dis...

Between myopathy and mortality: Challenges in the diagnosis of PLOD1 -related kyphoscoliotic Ehlers-Danlos syndrome

Objective PLOD1-related kyphoscoliotic Ehlers-Danlos syndrome (kEDS) is a rare autosomal recessive connective tissue disorder characterized by generalized joint laxity, severe congenital hypotonia, progressive kyphoscoliosis, hyperextensible and easily bruised skin, ocular abnorm...

Programmed Death-Ligand 1 (PD-L1) expression and clinical outcomes in oral squamous cell carcinoma: evidence from a large clinical cohort

BACKGROUND: Despite the recognized biological relevance of the PD-1/PD-L1 axis in immune evasion, the prognostic significance of PD-L1 expression in surgically treated oral squamous cell cancer (OSCC) patients remains largely unclear. OBJECTIVE: To investigate the prognostic sign...

Measuring BIM readiness and digitalisation in building permitting: a KPI-based framework

Purpose Digital building permitting (DBP) is increasingly promoted as a key instrument for improving efficiency, transparency and interoperability in public administration. Building Information Modelling (BIM) is cited as a central enabler of this transition. However, existing re...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...