Ludwig-Maximilians-Universität München

Along‐Strike Coupling Heterogeneity in Cascadia's Slow‐Slip Zone Constrained by GNSS and Reduced‐Order Rate‐And‐State Friction Modeling

Abstract Slow slip events (SSEs) in the Cascadia subduction zone exhibit along‐strike segmentation, where the central segment has longer recurrence intervals but smaller moments. We quantify the controls on this variability by combining geodetic inter‐SSE coupling inversion with...

Nuclear Factor-κB Signaling in Murine Models of Malignant Pleural Mesothelioma

Background: Malignant pleural mesothelioma (MPM) is an aggressive asbestos-associated cancer in which inflammatory pathways may contribute to tumor behavior. NF-κB signaling is a central mediator of inflammation and cell survival, but the relative contributions of its associated...

Between disconnection and connection: The paradoxes of Cold War export controls

Abstract This article reinterprets Cold War multilateral export controls not simply as mechanisms restricting access to strategic technologies, but as sites of mediated connection within Cold War globalisation. Moving beyond a US-centred framework, it examines West Germany’s expe...

Pharmacokinetics and efficacy of tank water-administered BRAF-inhibitor dabrafenib in a zebrafish melanoma model

Zebrafish models are widely used to study BRAF-mutant melanoma biology. However, long-term treatment of adult fish with small molecule BRAF inhibitors remains challenging, and pharmacokinetic data to inform rational dosing strategies are largely lacking for most small molecules i...

Parvovirus B19 infections in paediatric sickle cell disease patients: Genotype and hydroxyurea treatment influence disease severity

Summary In patients with sickle cell disease (SCD), parvovirus B19 infection (B19V) leads to acute anaemia (aplastic crisis), but may also be associated with other serious complications. We retrospectively analysed clinical data from paediatric SCD patients with B19V infections b...

Artificial Intelligence in Orthodontics: Part 3—Cautions, Limitations and Future Prospects

ABSTRACT Artificial intelligence (AI) is increasingly affecting orthodontic practice and research, yet its adoption requires a careful understanding of both its capabilities and its limitations. As the final part of a three‐section review, this paper focuses on the practical caut...

Association of three different dietary patterns with the metabolomic profiles of children: the BiomarKid project

Abstract Background and aims Metabolomics offers a promising approach to objectively assess food intake and nutrition-related health risks. Three different dietary patterns (DPs) associated with cardiometabolic health were previously identified at 2 years of age in the EU Childho...

Bimekizumab as an Effective Treatment in Darier Disease: Clinical Outcomes of a Single-Center Retrospective Analysis of Patients Treated with Biologics

Darier disease (DD) is a rare autosomal dominant genodermatosis with limited systemic therapeutic options. Retinoids are the gold standard therapy, but long-term application is frequently limited by adverse events. Case reports suggest that biologicals approved for psoriasis vulg...

Predictability Is Not Profitability: An Explainable, Cost-Sensitive Evaluation of Customer Churn Across Three Sectors

Churn prediction research is largely accuracy-oriented, and the link between prediction and financial decision-making remains underdeveloped. This study builds and tests the chain from prediction to profit as follows: calibrated prediction, SHAP-based explanation, a profit-maximi...

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)...

No-Code and Low-Code Artificial Intelligence in Healthcare Imaging: A Scoping Review

Introduction and aims The aim of this review was to evaluate applications, methodological characteristics, limitations and future directions of no-code, low-code and automated machine learning (LCNC/AutoML) approaches in healthcare imaging. Methods PubMed, Web of Science, and Goo...

A pathway towards decentralized studies of radioactive post-lead elements and their applications in beyond standard model physics

Abstract Molecules have proven to be sensitive tools for studying physics beyond the Standard Model, with heavy and deformed nuclei offering decisive sensitivity to parity- and time-reversal-violating effects. However, almost all elements beyond lead, occupying the 6p to 5f atomi...

Thinking (with) Machines: Epistemic Autonomy in Human–AI Interaction

Abstract Generative artificial intelligence has intensified longstanding philosophical questions concerning human cognition and epistemic autonomy. This paper argues that generative AI does not make human beings smarter as such; its epistemic significance depends on how human–AI...

Host Response Impairs Tissue Integration of a Fibrin Hydrogel Scaffold Containing Poly(ε-caprolactone) Nanofibers for Peripheral Nerve Repair

The development of bioengineered conduits for the repair of large peripheral nerve defects remains challenging. Here, we introduce a biomimetic fibrin hydrogel scaffold containing stacked arrays of aligned poly(ε-caprolactone) (PCL) nanofibers that mimics the naturally forming fi...

Symbiont effectors modulate plant signalling to increase host stress resilience

Abstract Plant colonizing mutualistic symbionts confer beneficial effects to their hosts, which often includes increased growth, and biotic and abiotic stress resilience. How these benefits are activated on a molecular level is mostly unknown. Here, we describe effector candidate...

A coevolutionary account of normative human–AI interaction

Abstract This paper develops a coevolutionary account of extended morality in AI-mediated societies. Drawing on 4E cognition and theories of human–AI coevolution, it argues that the integration of aligned large language models into social practice reshapes the structure of moral...

Auricular Reconstruction Following Traumatic Amputation: A Historical Review and Contemporary Treatment Algorithm

Background: Traumatic auricular amputation represents a rare but complex reconstructive challenge, and numerous surgical techniques have been developed over the past century to optimize functional and aesthetic outcomes. This historical review examines current auricular reattachm...

The German Local Manifesto Project (GLMP): A new data source for studying local party politics

Local politics remains comparatively understudied in political science, partly due to limited data on party competition at the municipal level. This research note introduces the German Local Manifesto Project (GLMP), a new dataset of German local election manifestos that expands...

Electrochemical Synthesis of Ethyl-Substituted Alkylammonium-Intercalated β-FeSe Superconductors with T c up to 44 K

Abstract The intercalation of organic cations into superconducting iron selenide can significantly enhance the critical temperature (Tc). We investigated the electrochemical intercalation of ethyltrimethylammonium (ETMA+) and diethyldimethylammonium (DEDMA+) cations into β-FeSe,...

Toward Precision Nanochemistry in Halide Perovskite Quantum Dots

Abstract Halide perovskite nanochemistry is evolving at an unprecedented pace, rapidly expanding the scope of these materials from fundamental model systems to platforms with growing impact across both classical and quantum light technologies. In this perspective, we follow perov...